) {\\n Proto.StatusResponse.newBuilder()\\n .setStatus(status.protoType())\\n .build().also {\\n responseObserver.onNext(it)\\n responseObserver.onCompleted()\\n }\\n }\\n \\n fun noSuchFmuReply(id: Int, responseObserver: StreamObserver<*>) {\\n val message = \\\"No FMU with id=$id!\\\"\\n responseObserver.onError(\\n Status.INVALID_ARGUMENT\\n .augmentDescription(\\\"FmuNotFoundException\\\")\\n .withDescription(message)\\n .asRuntimeException()\\n )\\n }\\n\\n}\\n\\n\\nclass GrpcFmuServiceImpl(\\n private val fmu: Fmu\\n): FmuServiceGrpc.FmuServiceImplBase(), GrpcFmuService {\\n\\n private val modelDescription: CommonModelDescription\\n = fmu.modelDescription\\n\\n override fun getModelDescription(request: Empty, responseObserver: StreamObserver<Proto.ModelDescription>) {\\n responseObserver.onNext(modelDescription.protoType())\\n responseObserver.onCompleted()\\n }\\n\\n override fun getModelDescriptionXml(request: Empty, responseObserver: StreamObserver<Proto.Str>) {\\n\\n Proto.Str.newBuilder().setValue(fmu.modelDescriptionXml).build().also {\\n responseObserver.onNext(it)\\n responseObserver.onCompleted()\\n }\\n\\n }\\n\\n override fun canGetAndSetFMUstate(req: Proto.UInt, responseObserver: StreamObserver<Proto.Bool>) {\\n val fmuId = req.value\\n Fmus.get(fmuId)?.apply {\\n val md = modelDescription\\n val canGetAndSetFMUstate = when (md) {\\n is CoSimulationModelDescription -> md.canGetAndSetFMUstate\\n is ModelExchangeModelDescription -> md.canGetAndSetFMUstate\\n else -> throw AssertionError(\\\"ModelDescription is not of type CS or ME?\\\")\\n }\\n responseObserver.onNext(canGetAndSetFMUstate.protoType())\\n responseObserver.onCompleted()\\n } ?: noSuchFmuReply(fmuId, responseObserver)\\n\\n }\\n\\n override fun getCurrentTime(req: Proto.UInt, responseObserver: StreamObserver<Proto.Real>) {\\n\\n val fmuId = req.value\\n Fmus.get(fmuId)?.apply {\\n responseObserver.onNext(currentTime.protoType())\\n responseObserver.onCompleted()\\n } ?: noSuchFmuReply(fmuId, responseObserver)\\n\\n }\\n\\n override fun isTerminated(req: Proto.UInt, responseObserver: StreamObserver<Proto.Bool>) {\\n\\n val fmuId = req.value\\n Fmus.get(req.value)?.apply {\\n responseObserver.onNext(isTerminated.protoType())\\n responseObserver.onCompleted()\\n }?: noSuchFmuReply(fmuId, responseObserver)\\n\\n }\\n\\n override fun readInteger(req: Proto.ReadRequest, responseObserver: StreamObserver<Proto.IntRead>) {\\n\\n val fmuId = req.fmuId\\n Fmus.get(fmuId)?.apply {\\n val valueReference = req.valueReference\\n val read = variableAccessor.readInteger(valueReference)\\n responseObserver.onNext(Proto.IntRead.newBuilder()\\n .setValue(read.value)\\n .setStatus(read.status.protoType())\\n .build())\\n responseObserver.onCompleted()\\n } ?: noSuchFmuReply(fmuId, responseObserver)\\n\\n }\\n\\n override fun bulkReadInteger(req: Proto.BulkReadRequest, responseObserver: StreamObserver<Proto.IntListRead>) {\\n\\n val fmuId = req.fmuId\\n Fmus.get(fmuId)?.apply {\\n val builder = Proto.IntListRead.newBuilder()\\n val read = variableAccessor.readInteger(req.valueReferencesList.toIntArray())\\n builder.status = read.status.protoType()\\n for (value in read.value) {\\n builder.addValues(value)\\n }\\n responseObserver.onNext(builder.build())\\n responseObserver.onCompleted()\\n }?: noSuchFmuReply(fmuId, responseObserver)\\n\\n }\\n\\n override fun readReal(req: Proto.ReadRequest, responseObserver: StreamObserver<Proto.RealRead>) {\\n\\n val fmuId = req.fmuId\\n Fmus.get(fmuId)?.apply {\\n val valueReference = req.valueReference\\n val read = variableAccessor.readReal(valueReference)\\n responseObserver.onNext(Proto.RealRead.newBuilder()\\n .setValue(read.value)\\n .setStatus(read.status.protoType())\\n .build())\\n responseObserver.onCompleted()\\n }?: noSuchFmuReply(fmuId, responseObserver)\\n\\n }\\n\\n override fun bulkReadReal(req: Proto.BulkReadRequest, responseObserver: StreamObserver<Proto.RealListRead>) {\\n\\n val fmuId = req.fmuId\\n Fmus.get(fmuId)?.apply {\\n val builder = Proto.RealListRead.newBuilder()\\n val read = variableAccessor.readReal(req.valueReferencesList.toIntArray())\\n builder.status = read.status.protoType()\\n for (value in read.value) {\\n builder.addValues(value)\\n }\\n responseObserver.onNext(builder.build())\\n responseObserver.onCompleted()\\n } ?: noSuchFmuReply(fmuId, responseObserver)\\n\\n }\\n\\n override fun readString(req: Proto.ReadRequest, responseObserver: StreamObserver<Proto.StrRead>) {\\n\\n val fmuId = req.fmuId\\n Fmus.get(fmuId)?.apply {\\n val read = variableAccessor.readString(req.valueReference)\\n responseObserver.onNext(Proto.StrRead.newBuilder()\\n .setValue(read.value)\\n .setStatus(read.status.protoType())\\n .build())\\n responseObserver.onCompleted()\\n } ?: noSuchFmuReply(fmuId, responseObserver)\\n\\n }\\n\\n override fun bulkReadString(req: Proto.BulkReadRequest, responseObserver: StreamObserver<Proto.StrListRead>) {\\n\\n val fmuId = req.fmuId\\n Fmus.get(fmuId)?.apply {\\n val builder = Proto.StrListRead.newBuilder()\\n val read = variableAccessor.readString(req.valueReferencesList.toIntArray())\\n builder.status = read.status.protoType()\\n for (value in read.value) {\\n builder.addValues(value)\\n }\\n responseObserver.onNext(builder.build())\\n responseObserver.onCompleted()\\n } ?: noSuchFmuReply(fmuId, responseObserver)\\n\\n }\\n\\n override fun readBoolean(req: Proto.ReadRequest, responseObserver: StreamObserver<Proto.BoolRead>) {\\n\\n val fmuId = req.fmuId\\n Fmus.get(fmuId)?.apply {\\n val read = variableAccessor.readBoolean(req.valueReference)\\n responseObserver.onNext(Proto.BoolRead.newBuilder()\\n .setValue(read.value)\\n .setStatus(read.status.protoType())\\n .build())\\n responseObserver.onCompleted()\\n } ?: noSuchFmuReply(fmuId, responseObserver)\\n\\n }\\n\\n override fun bulkReadBoolean(req: Proto.BulkReadRequest, responseObserver: StreamObserver<Proto.BoolListRead>) {\\n\\n val fmuId = req.fmuId\\n Fmus.get(fmuId)?.apply {\\n val builder = Proto.BoolListRead.newBuilder()\\n val read = variableAccessor.readBoolean(req.valueReferencesList.toIntArray())\\n builder.status = read.status.protoType()\\n for (value in read.value) {\\n builder.addValues(value)\\n }\\n responseObserver.onNext(builder.build())\\n responseObserver.onCompleted()\\n } ?: noSuchFmuReply(fmuId, responseObserver)\\n \\n\\n }\\n\\n override fun writeInteger(req: Proto.WriteIntRequest, responseObserver: StreamObserver<Proto.StatusResponse>) {\\n\\n val fmuId = req.fmuId\\n Fmus.get(fmuId)?.apply {\\n val status = variableAccessor.writeInteger(req.valueReference, req.value)\\n statusReply(status, responseObserver)\\n } ?: noSuchFmuReply(fmuId, responseObserver)\\n\\n }\\n\\n override fun bulkWriteInteger(req: Proto.BulkWriteIntRequest, responseObserver: StreamObserver<Proto.StatusResponse>) {\\n\\n val fmuId = req.fmuId\\n Fmus.get(fmuId)?.apply {\\n val status = variableAccessor.writeInteger(req.valueReferencesList.toIntArray(), req.valuesList.toIntArray())\\n statusReply(status, responseObserver)\\n } ?: noSuchFmuReply(fmuId, responseObserver)\\n\\n }\\n\\n override fun writeReal(req: Proto.WriteRealRequest, responseObserver: StreamObserver<Proto.StatusResponse>) {\\n\\n val fmuId = req.fmuId\\n Fmus.get(fmuId)?.apply {\\n val status = variableAccessor.writeReal(req.valueReference, req.value)\\n statusReply(status, responseObserver)\\n } ?: noSuchFmuReply(fmuId, responseObserver)\\n\\n\\n }\\n\\n override fun bulkWriteReal(req: Proto.BulkWriteRealRequest, responseObserver: StreamObserver<Proto.StatusResponse>) {\\n\\n val fmuId = req.fmuId\\n Fmus.get(fmuId)?.apply {\\n val status = variableAccessor.writeReal(req.valueReferencesList.toIntArray(), req.valuesList.toDoubleArray())\\n statusReply(status, responseObserver)\\n } ?: statusReply(FmiStatus.Error, responseObserver)\\n\\n }\\n\\n override fun writeString(req: Proto.WriteStrRequest, responseObserver: StreamObserver<Proto.StatusResponse>) {\\n\\n val fmuId = req.fmuId\\n Fmus.get(fmuId)?.apply {\\n val status = variableAccessor.writeString(req.valueReference, req.value)\\n statusReply(status, responseObserver)\\n } ?: noSuchFmuReply(fmuId, responseObserver)\\n\\n\\n }\\n\\n override fun bulkWriteString(req: Proto.BulkWriteStrRequest, responseObserver: StreamObserver<Proto.StatusResponse>) {\\n\\n val fmuId = req.fmuId\\n Fmus.get(req.fmuId)?.apply {\\n val status = variableAccessor.writeString(req.valueReferencesList.toIntArray(), req.valuesList.toTypedArray())\\n statusReply(status, responseObserver)\\n } ?: noSuchFmuReply(fmuId, responseObserver)\\n\\n }\\n\\n override fun writeBoolean(req: Proto.WriteBoolRequest, responseObserver: StreamObserver<Proto.StatusResponse>) {\\n\\n val fmuId = req.fmuId\\n Fmus.get(fmuId)?.apply {\\n val status = variableAccessor.writeBoolean(req.valueReference, req.value)\\n statusReply(status, responseObserver)\\n } ?: noSuchFmuReply(fmuId, responseObserver)\\n\\n\\n }\\n\\n override fun bulkWriteBoolean(req: Proto.BulkWriteBoolRequest, responseObserver: StreamObserver<Proto.StatusResponse>) {\\n\\n val fmuId = req.fmuId\\n Fmus.get(fmuId)?.apply {\\n val status = variableAccessor.writeBoolean(req.valueReferencesList.toIntArray(), req.valuesList.toBooleanArray())\\n statusReply(status, responseObserver)\\n } ?: noSuchFmuReply(fmuId, responseObserver)\\n\\n }\\n\\n override fun init(req: Proto.InitRequest, responseObserver: StreamObserver<Proto.StatusResponse>) {\\n\\n val fmuId = req.fmuId\\n Fmus.get(fmuId)?.apply {\\n val start = req.start\\n val stop = req.stop\\n val hasStart = start > 0\\n val hasStop = stop > 0 && stop > start\\n if (hasStart && hasStop) {\\n init(start, stop)\\n } else if (hasStart && hasStop) {\\n init(start)\\n } else {\\n init()\\n }\\n statusReply(lastStatus, responseObserver)\\n } ?: noSuchFmuReply(fmuId, responseObserver)\\n\\n }\\n\\n override fun step(req: Proto.StepRequest, responseObserver: StreamObserver<Proto.StepResult>) {\\n \\n val fmuId = req.fmuId\\n Fmus.get(fmuId)?.apply {\\n doStep(req.stepSize)\\n Proto.StepResult.newBuilder()\\n .setSimulationTime(currentTime)\\n .setStatus(lastStatus.protoType())\\n .build().also {\\n responseObserver.onNext(it)\\n responseObserver.onCompleted()\\n }\\n\\n } ?: noSuchFmuReply(fmuId, responseObserver)\\n\\n }\\n\\n override fun terminate(req: Proto.UInt, responseObserver: StreamObserver<Proto.StatusResponse>) {\\n\\n val fmuId = req.value\\n Fmus.remove(fmuId)?.apply {\\n terminate()\\n lastStatus.also { status ->\\n LOG.debug(\\\"Terminated fmu with status: $status\\\")\\n statusReply(status, responseObserver)\\n }\\n } ?: noSuchFmuReply(fmuId, responseObserver)\\n\\n }\\n\\n override fun reset(req: Proto.UInt, responseObserver: StreamObserver<Proto.StatusResponse>) {\\n\\n val fmuId = req.value\\n Fmus.get(fmuId)?.apply {\\n reset().also {\\n statusReply(lastStatus, responseObserver)\\n }\\n } ?: noSuchFmuReply(fmuId, responseObserver)\\n\\n }\\n\\n\\n override fun createInstanceFromCS(req: Empty, responseObserver: StreamObserver<Proto.UInt>) {\\n\\n Fmus.put(fmu.asCoSimulationFmu().newInstance()).also { id ->\\n Proto.UInt.newBuilder().setValue(id).build().also {\\n responseObserver.onNext(it)\\n responseObserver.onCompleted()\\n }\\n }\\n\\n }\\n\\n override fun createInstanceFromME(req: Proto.Solver, responseObserver: StreamObserver<Proto.UInt>) {\\n\\n fun selectDefaultIntegrator(): FirstOrderIntegrator {\\n val stepSize = fmu.modelDescription.defaultExperiment?.stepSize ?: 1E-3\\n LOG.warn(\\\"No valid integrator found.. Defaulting to Euler with $stepSize stepSize\\\")\\n return EulerIntegrator(stepSize)\\n }\\n\\n val integrator = parseIntegrator(req.name, req.settings) ?: selectDefaultIntegrator()\\n Fmus.put(fmu.asModelExchangeFmu().newInstance(integrator)).also { id ->\\n Proto.UInt.newBuilder().setValue(id).build().also {\\n responseObserver.onNext(it)\\n responseObserver.onCompleted()\\n }\\n }\\n\\n }\\n\\n// override fun createInstanceFromME(req: Proto.Integrator, responseObserver: StreamObserver<Proto.UInt>) {\\n//\\n// fun selectDefaultIntegrator(): FirstOrderIntegrator {\\n// val stepSize = fmu.modelDescription.defaultExperiment?.stepSize ?: 1E-3\\n// LOG.warn(\\\"No integrator specified.. Defaulting to Euler with $stepSize stepSize\\\")\\n// return EulerIntegrator(stepSize)\\n// }\\n//\\n// val integrator = when (req.integratorsCase) {\\n// Proto.Integrator.IntegratorsCase.GILL -> GillIntegrator(req.gill.stepSize)\\n// Proto.Integrator.IntegratorsCase.EULER -> EulerIntegrator(req.euler.stepSize)\\n// Proto.Integrator.IntegratorsCase.MID_POINT -> MidpointIntegrator(req.midPoint.stepSize)\\n// Proto.Integrator.IntegratorsCase.RUNGE_KUTTA -> ClassicalRungeKuttaIntegrator(req.rungeKutta.stepSize)\\n// Proto.Integrator.IntegratorsCase.ADAMS_BASHFORTH -> req.adamsBashforth.let { AdamsBashforthIntegrator(it.nSteps, it.minStep, it.maxStep, it.scalAbsoluteTolerance, it.scalRelativeTolerance) }\\n// Proto.Integrator.IntegratorsCase.DORMAND_PRINCE54 -> req.dormandPrince54.let { DormandPrince54Integrator(it.minStep, it.maxStep, it.scalAbsoluteTolerance, it.scalRelativeTolerance) }\\n// else -> selectDefaultIntegrator()\\n// }\\n//\\n// Fmus.put(fmu.asModelExchangeFmu().newInstance(integrator)).also { id ->\\n// Proto.UInt.newBuilder().setValue(id).build().also {\\n// responseObserver.onNext(it)\\n// responseObserver.onCompleted()\\n// }\\n// }\\n//\\n// }\\n\\n\\n private companion object {\\n val LOG: Logger = LoggerFactory.getLogger(GrpcFmuServer::class.java)\\n }\\n\\n}\\n\\n\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":59,"string":"59"}}},{"rowIdx":2980074,"cells":{"repo_name":{"kind":"string","value":"williehammonds/TwitterDataAnalysis"},"repo_url":{"kind":"string","value":"https://github.com/williehammonds/TwitterDataAnalysis"},"snapshot_id":{"kind":"string","value":"96937ef7b042818773cdb490647aaa96971ee6ea"},"revision_id":{"kind":"string","value":"4b1d113a8b3843ccce9711102bfb013ac19b41d6"},"directory_id":{"kind":"string","value":"d1c912af79825ad0521a55ec9a033824043699af"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2021-01-16T20:46:19.726823","string":"2021-01-16T20:46:19.726823"},"revision_date":{"kind":"timestamp","value":"2015-02-23T04:03:33","string":"2015-02-23T04:03:33"},"committer_date":{"kind":"timestamp","value":"2015-02-23T04:03:33","string":"2015-02-23T04:03:33"},"github_id":{"kind":"null"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.5670995712280273,"alphanum_fraction":0.573720395565033,"avg_line_length":39.49484634399414,"blob_id":"edd6e52ae5e6bb490bb8a7f9401504c1be78b131","content_id":"7bd35a1bc7ec3307b6bf548e0dc5bdb760b7ff75","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":3927,"license_type":"permissive","max_line_length":166,"num_lines":97,"path":"/tests/test_TextTools.py","repo_name":"williehammonds/TwitterDataAnalysis","src_encoding":"UTF-8","text":"import unittest\n\nimport nltk\n\nfrom TextAnalysis.TextTools import *\n\nclass TweetTextWordBagMakerTest(unittest.TestCase):\n def setUp(self):\n self.object = TweetTextWordBagMaker()\n\n def tearDown(self):\n self.object = ''\n\n def test_add_to_ignorelist(self):\n \"\"\"\n The tested function combines the lists, removes duplicates, and converts to a tuple\n \"\"\"\n #testlist1 = ['cat', 'fish']\n #testlist2 = ['cat', 'taco', 'burrito']\n #expect = ('cat', 'fish', 'taco', 'burrito')\n\n testlist1 = [1, 2]\n testlist2 = [2, 3, 4, 5]\n expect = (1, 2, 3, 4, 5)\n \n self.object.add_to_ignorelist(testlist1)\n #make sure adds to the list\n #t1 = list(self.object.ignore).sort()\n #self.assertListEqual(t1, testlist1.sort())\n self.object.add_to_ignorelist(testlist2)\n #make sure edited out the duplicates\n self.assertTupleEqual(self.object.ignore, expect)\n \n def test__make_wordbag(self):\n test = \"The quick brown fox became a delicious taco for the hungry cat. All lived happily ever after\"\n expect = [\"the\", \"quick\", \"brown\", \"fox\", \"became\", \"a\", \"delicious\", \"taco\", \"for\", \"the\", \"hungry\", \"cat\", \".\", \"all\", \"lived\", \"happily\", \"ever\", \"after\"]\n result = self.object._make_wordbag(test)\n self.assertListEqual(result, expect)\n \n def test__filter_ignored_terms(self):\n to_remove = ['dog', 'cow']\n test = ['cat', 'dog', 'fish', 'cow']\n expect = ['cat', 'fish']\n self.object.add_to_ignorelist(to_remove)\n result = self.object._filter_ignored_terms(test)\n self.assertListEqual(result, expect)\n \n def test__filter_usernames(self):\n test = ['taco', '@burrito', 'cat', '@dog']\n expect = ['taco', 'cat']\n result = self.object._filter_usernames(test)\n self.assertListEqual(result, expect)\n \n def test__filter_urls(self):\n test = ['taco', '//t.co', 'cat', '//t.co']\n expect = ['taco', 'cat']\n result = self.object._filter_urls(test)\n self.assertListEqual(result, expect)\n \n \n def test_process(self):\n test = [{'tweetID' : 1, 'tweetText' : \"The first tweet. It has text\"},\n {'tweetID' : 2, 'tweetText' : \"The quick brown fox became a delicious taco for the hungry cat. All lived happily ever after\"}]\n expect = [\"first\", \"tweet\", \"text\", \"quick\", \"brown\", \"fox\", \"became\", \"delicious\", \"taco\", \"hungry\", \"cat\",\n \"lived\", \"happily\", \"ever\"]\n self.object.add_to_ignorelist([\".\", \",\"])\n self.object.add_to_ignorelist(nltk.corpus.stopwords.words('english'))\n self.object.process(test)\n self.assertEqual(self.object.masterbag, expect)\n self.assertTupleEqual(self.object.tweet_tuples[0], (1, [\"first\", \"tweet\", \"text\"]))\n self.assertTupleEqual(self.object.tweet_tuples[1], (2, [\"quick\", \"brown\", \"fox\", \"became\", \"delicious\", \"taco\", \"hungry\", \"cat\", \"lived\", \"happily\", \"ever\"]))\n\n\nclass WordFiltersTest(unittest.TestCase):\n def setUp(self):\n self.object = WordFilters()\n\n def tearDown(self):\n self.object = ''\n \n def test_remove_fragments(self):\n test = ['cat', 'dog', \"amp\", '...', '//t.co', \"'re'\", \"'m\", 'fish', \"'s\", 'cow']\n expect = ['cat', 'dog', 'fish', 'cow']\n result = self.object.remove_fragments(test)\n self.assertListEqual(result, expect)\n \n def test_remove_punctuation(self):\n test = ['cat', 'dog', \"&\", '.', '/', \"'\", \"!\", 'fish', \"#\", 'cow']\n expect = ['cat', 'dog', 'fish', 'cow']\n result = self.object.remove_punctuation(test)\n self.assertListEqual(result, expect)\n \n def test_filter_stopwords(self):\n test = ['taco', 'a', 'cat', 'the']\n expect = ['taco', 'cat']\n result = self.object.filter_stopwords(test)\n self.assertListEqual(result, expect)"},{"alpha_fraction":0.5550661087036133,"alphanum_fraction":0.5560826659202576,"avg_line_length":35.432098388671875,"blob_id":"bbbbf318141134fa46777556ed8db9836196113e","content_id":"e55fc568120522af1f433b51dd13da3d5b29001f","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2951,"license_type":"permissive","max_line_length":124,"num_lines":81,"path":"/ConstantsAndUtilities.py","repo_name":"williehammonds/TwitterDataAnalysis","src_encoding":"UTF-8","text":"import string\n\n\nclass Ignore(object):\n \"\"\"\n This contains all the terms to be ignored from hashtags etc. It is inherited by other classes which do cleaning\n \n Attributes:\n words: Dictionary with categories of irrelevant terms as keys (placenames, smallwords, socialmediaterms, irrelevant)\n fragments: String fragments which should be filterd out\n \"\"\"\n fragments = [\"'s\", \"amp\", '...', '//t.co', \"'re'\", \"'m\"]\n punctuation = string.punctuation\n words = {\n 'placenames' : ['tn', 'nashville', 'memphis', 'tennessee', 'knoxville', 'fl', 'tx', 'sc', 'nc', 'co', \n 'nyc', 'va', 'ga', 'twittoma', 'team243'],\n 'smallwords' : ['no', 'be', 'my', 'the', 'like', 'in', 'i', 'a', 'you', 'is', 'of', 'and', 'it', 'to',\n 'this', 'so', 'for', 'on', 'up'], \n 'socialmediaterms' : ['hashtag', 'selfie', 'repost', 'nofilter', 'instagram', 'instamood', 'instalike',\n 'instadaily', 'picoftheday', 'photo', 'instapic', 'http', 'rt', 'mt'],\n 'irrelevant' : ['recordstoreday', 'vinyl', 'naruto', 'bread' ]\n }\n\n def __init__(self):\n self.words = Ignore.words\n wordlist = []\n [wordlist.append(word) for k in Ignore.words.keys() for word in Ignore.words[k]]\n # [wordlist.append(w) for w in wl for wl in self.words.values()]\n self.wordtuple = tuple(wordlist)\n\n\n @staticmethod\n def iterable(self):\n \"\"\"\n Iterable object for all the contents of the ignore list\n TODO Make a generator \n \"\"\"\n wordlist = []\n [wordlist.append(word) for k in words.keys() for word in words[k]]\n # [wordlist.append(w) for w in wl for wl in Ignore.words.values()]\n return wordlist\n\n def generator(self):\n \"\"\"\n Generator which returns ignore words\n \"\"\"\n pass\n # (word for word in self.wordtuple)\n # yield word\n\n\n @staticmethod\n def get_list(self):\n \"\"\"\n Returns a list of everything to ignore\n \"\"\"\n wordlist = []\n [wordlist.append(w) for wl in self.words.values() for w in wl]\n wordlist += self.fragments\n wordlist += self.punctuation\n return wordlist\n \n \nclass Merge(object):\n \"\"\"\n This holds terms which are to be merged together in analyzing graphs\n \n Attributes:\n toMerge: Dictionary with the master term as key and values to be merged in list as values\n \"\"\"\n toMerge = {\n 'Fibromyalgia' : ['fibro', 'fibromyalgia', 'fms', 'fm'],\n 'CRPS' : ['crps', 'rsd'], \n 'ChronicFatigue' : ['chronicfatigue', 'chronicfatiguesyndrome', 'cfs', 'mecfs', 'cfsme', 'cfids', \n 'myalgicencephalomyelitis', 'mcs' ], \n 'RheumatoidArthritis' : ['rheumatoid', 'ra', 'rheumatoidarthritis'],\n 'Endometriosis' : ['endometriosis', 'endo']\n }\n\nif __name__ == '__main__':\n pass\n"},{"alpha_fraction":0.6059828996658325,"alphanum_fraction":0.6059828996658325,"avg_line_length":21.960784912109375,"blob_id":"4c0d30c4de846db05e1a82622a2a8f2c0ed8e8f9","content_id":"23f888d2b90fdab8f632ade7a0049d1d33ef5f08","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1170,"license_type":"permissive","max_line_length":64,"num_lines":51,"path":"/TweetDAOs.py","repo_name":"williehammonds/TwitterDataAnalysis","src_encoding":"UTF-8","text":"\"\"\"\nThis contains classes for loading tweet data\n\nTHIS SHOULD INSTEAD USE THE DAO IN TwitterMining\n\"\"\"\n\nimport DAO\n\n\nclass TwitterSQLDAO(DAO.BaseDAO):\n \"\"\"\n Base database abstraction layer for twitter mysql database\n \"\"\"\n\n def __init__(self, test=False, local=True):\n if test is False:\n databaseName = 'twitter_data'\n else:\n databaseName = 'twitter_dataTEST'\n DAO.BaseDAO.__init__(self)\n if local is False:\n self.connectRemote(databaseName)\n else:\n self.connect(databaseName)\n\n\nclass TweetTextGetter(TwitterSQLDAO):\n \"\"\"\n Loads all tweetids and tweettext\n \n Args:\n test: Whether to use the test db\n local: Whether to use the local or remote db\n \n Returns:\n List of dictionaries with keys tweetID and tweetText\n \"\"\"\n\n def __init__(self, test=False, local=True):\n TwitterSQLDAO.__init__(self, test=test, local=local)\n\n\n def load_tweets(self):\n self.query = \"\"\"SELECT tweetID, tweetText FROM tweets\"\"\"\n self.val = []\n self.returnAll()\n return list(self.results)\n\n\nif __name__ == '__main__':\n pass"},{"alpha_fraction":0.5942720770835876,"alphanum_fraction":0.5990453362464905,"avg_line_length":19.950000762939453,"blob_id":"9f9d9ef35a699a1cb0528048f40a1f140679182d","content_id":"b32f53076f5fcb97747c2662cb71e2bd92225ef5","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":419,"license_type":"permissive","max_line_length":42,"num_lines":20,"path":"/tests/test_ConstantsAndUtilities.py","repo_name":"williehammonds/TwitterDataAnalysis","src_encoding":"UTF-8","text":"__author__ = 'adam'\n\nimport unittest\nfrom ConstantsAndUtilities import *\n\n\nclass IgnoreTest(unittest.TestCase):\n def setUp(self):\n self.object = Ignore()\n\n def test_generator(self):\n pass\n # # expect = Ignore.words[0][0]\n # expect = 'recordstoreday'\n # result = self.object.generator()\n # self.assertEqual(expect, result)\n\n\nif __name__ == '__main__':\n unittest.main()\n"},{"alpha_fraction":0.5718811750411987,"alphanum_fraction":0.5817821621894836,"avg_line_length":32.66222381591797,"blob_id":"217351c5334bd3ef1085aceaee6e5c6e5ecf958f","content_id":"b0808a07e207b9c63847aa59439c1edef224d81e","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":7575,"license_type":"permissive","max_line_length":127,"num_lines":225,"path":"/TextAnalysis/TextTools.py","repo_name":"williehammonds/TwitterDataAnalysis","src_encoding":"UTF-8","text":"\nimport nltk\nfrom nltk.tokenize import word_tokenize, sent_tokenize\nimport time\n\n#Used for WordFilters\nfrom ConstantsAndUtilities import Ignore\nimport string\n\nfrom OptimizationTools import *\n\nclass ProcessingError(Exception):\n def __init__(self, identifier):\n self.identifier = identifier\n def __repr__(self):\n return \"%s went bad on %s : %s\" % (self.kind, self.identifier_type, self.identifier)\n\nclass TweetProcessingError(ProcessingError):\n def __init__(self, tweetID):\n self.kind = 'TweetProcessing'\n self.identifier_type = 'tweetID'\n ProcessingError.__init__(self, tweetID)\n\nclass StringProcessingError(ProcessingError):\n def __init__(self, string_processed):\n self.kind = 'StringProcessing'\n self.identifier_type = 'String content'\n ProcessingError.__init__(self, string_processed)\n\n\nclass TweetTextWordBagMaker(object):\n \"\"\"\n This takes a list of dictionaries containing tweetID and tweetText and processes the texts for bag of words type analyses.\n \n Before running the process command, all lists of strings to ignore should be loaded using add_to_ignorelist()\n \n \n Attributes:\n masterbag: List containing all words\n ignore: Tuple of strings to ignore through filtering\n tweet_tuples: List containing tuples with the structure (tweetID, [list of words in tweet])\n \"\"\"\n def __init__(self):\n self.ignore = ()\n self.masterbag = [] #This will hold all words\n self.tweet_tuples = []\n \n def add_to_ignorelist(self, list_to_ignore):\n \"\"\"\n Add a list of strings to the internally held tuple of strings to ignore in processing text\n \n Args:\n list_to_ignore: List of strings to ignore.\n \"\"\"\n self.ignore = list(self.ignore)\n [self.ignore.append(i) for i in list_to_ignore]\n self.ignore = set(self.ignore)\n self.ignore = tuple(self.ignore)\n \n def process(self, list_of_dicts):\n \"\"\"\n Processes the tweet texts\n Most recent execution time 599.286342144 sec for 732683 tweets\n Moved stopwords filtration first: 891.928412914 for 732683 tweets\n Merged stopwords into ignore list: 234.204810858 \n 1 loops, best of 3: 14min 56s per loop\n TODO: Change order of execution for optimization\n \n Args:\n list_of_dicts: List of dictionaries with keys tweetID and tweetText\n \"\"\"\n for t in list_of_dicts:\n tweetid = t['tweetID']\n #process text\n words = self._make_wordbag(t['tweetText'])\n #words = self._filter_stopwords(words)\n words = self._filter_ignored_terms(words)\n words = self._filter_usernames(words)\n words = self._filter_urls(words)\n #process tuple\n tweet_tuple = (tweetid, words)\n self.tweet_tuples.append(tweet_tuple)\n self.masterbag += words\n \n def new_process(self, list_of_dicts):\n \"\"\"\n Best time 225.85651803\n \"\"\"\n for t in list_of_dicts:\n tweetid = t['tweetID']\n #process text\n words = self._make_wordbag(t['tweetText'])\n words = [w for w in words if self._check_unwanted(w) and w not in self.ignore ]\n #process tuple\n tweet_tuple = (tweetid, words)\n self.tweet_tuples.append(tweet_tuple)\n self.masterbag += words\n \n def OLDprocess(self, list_of_dicts): \n for t in list(self.results):\n tweetid = t['tweetID']\n #process text\n words = [word for sent in sent_tokenize(t['tweetText']) for word in word_tokenize(sent)]\n words = [w.lower() for w in words]\n words = [w for w in words if w not in Ignore.punctuation]#remove punctuation\n words = [w for w in words if w not in Ignore.fragments]#remove fragments\n words = [w for w in words if w[0] != '@']#Get rid of usernames\n words = [w for w in words if w[0:6] != '//t.co'] #Remove some urls\n words = [w for w in words if w not in Ignore.words['socialmediaterms']] #Remove terms from social media\n words = [w for w in words if w not in nltk.corpus.stopwords.words('english')] #Remove stopwords\n #process tuple\n tweet_tuple = (tweetid, words)\n self.tweet_tuples.append(tweet_tuple)\n self.masterbag += words\n \n def _make_wordbag(self, text):\n \"\"\"\n Takes a bunch of sentences and extracts all the words, makes them lowercase, and returns them in a list\n \n Args:\n text: String text to be word tokenized\n \n Returns:\n List of words, all lower case\n \"\"\"\n bag = [word.lower() for sent in sent_tokenize(text) for word in word_tokenize(sent)]\n return bag\n\n def _filter_ignored_terms(self, wordlist):\n \"\"\"\n Remove items that are in the ignore list\n \n Args:\n wordlist: List of strings to be filtered\n \n Returns:\n Filtered list\n \"\"\"\n if len(self.ignore) == 0:\n pass\n # TODO Raise error message\n #raise\n words = [w for w in wordlist if w not in self.ignore]\n return words\n \n def _check_unwanted(self, word):\n if word[0] != '@' and word[0:6] != '//t.co':\n return True\n else:\n return False\n \n def _filter_usernames(self, wordlist):\n \"\"\"\n Gets rid of usernames by recognizing the @\n TODO: Modify to recognize cases of .@username\n \n \"\"\"\n words = [w for w in wordlist if w[0] != '@']\n return words\n \n def _filter_urls(self, wordlist):\n \"\"\"\n Removes some urls\n TODO: Make this better\n \n Args:\n wordlist: List of strings to be filtered\n \n Returns:\n Filtered list\n \"\"\"\n words = [w for w in wordlist if w[0:6] != '//t.co']\n return words\n \n\n\nclass WordFilters(object):\n \"\"\"\n This has filters for removing various strings and string components.\n \n \"\"\"\n \n @staticmethod\n def remove_fragments(wordlist):\n \"\"\"\n Filters string fragments from the list and returns the filtered list\n \n Args:\n wordlist: A list of words to have fragments removed from\n \n Returns:\n The filtered list\n \"\"\"\n wordlist = [w for w in wordlist if w not in Ignore.fragments]#remove fragments\n return wordlist\n\n @staticmethod \n def remove_punctuation(wordlist):\n \"\"\"\n Filters out punctuation from input list. Does not filter at the word level (e.g., will not remove the period in \"cat.\")\n \n Args:\n wordlist: A list of strings to be filtered for list items which are punctuation marks. \n \n Returns:\n The filtered list\n \"\"\"\n wordlist = [w for w in wordlist if w not in string.punctuation]#remove punctuation\n return wordlist\n \n @staticmethod\n def filter_stopwords(wordlist):\n \"\"\"\n Uses NLTK English stopwords corpus to remove stopwords.\n \n Args:\n wordlist: List of strings to be filtered\n \n Returns:\n Filtered list\n \"\"\"\n words = [w for w in wordlist if w not in nltk.corpus.stopwords.words('english')]\n return words\n\nif __name__ == '__main__':\n pass\n"}],"string":"[\n {\n \"alpha_fraction\": 0.5670995712280273,\n \"alphanum_fraction\": 0.573720395565033,\n \"avg_line_length\": 39.49484634399414,\n \"blob_id\": \"edd6e52ae5e6bb490bb8a7f9401504c1be78b131\",\n \"content_id\": \"7bd35a1bc7ec3307b6bf548e0dc5bdb760b7ff75\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 3927,\n \"license_type\": \"permissive\",\n \"max_line_length\": 166,\n \"num_lines\": 97,\n \"path\": \"/tests/test_TextTools.py\",\n \"repo_name\": \"williehammonds/TwitterDataAnalysis\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import unittest\\n\\nimport nltk\\n\\nfrom TextAnalysis.TextTools import *\\n\\nclass TweetTextWordBagMakerTest(unittest.TestCase):\\n def setUp(self):\\n self.object = TweetTextWordBagMaker()\\n\\n def tearDown(self):\\n self.object = ''\\n\\n def test_add_to_ignorelist(self):\\n \\\"\\\"\\\"\\n The tested function combines the lists, removes duplicates, and converts to a tuple\\n \\\"\\\"\\\"\\n #testlist1 = ['cat', 'fish']\\n #testlist2 = ['cat', 'taco', 'burrito']\\n #expect = ('cat', 'fish', 'taco', 'burrito')\\n\\n testlist1 = [1, 2]\\n testlist2 = [2, 3, 4, 5]\\n expect = (1, 2, 3, 4, 5)\\n \\n self.object.add_to_ignorelist(testlist1)\\n #make sure adds to the list\\n #t1 = list(self.object.ignore).sort()\\n #self.assertListEqual(t1, testlist1.sort())\\n self.object.add_to_ignorelist(testlist2)\\n #make sure edited out the duplicates\\n self.assertTupleEqual(self.object.ignore, expect)\\n \\n def test__make_wordbag(self):\\n test = \\\"The quick brown fox became a delicious taco for the hungry cat. All lived happily ever after\\\"\\n expect = [\\\"the\\\", \\\"quick\\\", \\\"brown\\\", \\\"fox\\\", \\\"became\\\", \\\"a\\\", \\\"delicious\\\", \\\"taco\\\", \\\"for\\\", \\\"the\\\", \\\"hungry\\\", \\\"cat\\\", \\\".\\\", \\\"all\\\", \\\"lived\\\", \\\"happily\\\", \\\"ever\\\", \\\"after\\\"]\\n result = self.object._make_wordbag(test)\\n self.assertListEqual(result, expect)\\n \\n def test__filter_ignored_terms(self):\\n to_remove = ['dog', 'cow']\\n test = ['cat', 'dog', 'fish', 'cow']\\n expect = ['cat', 'fish']\\n self.object.add_to_ignorelist(to_remove)\\n result = self.object._filter_ignored_terms(test)\\n self.assertListEqual(result, expect)\\n \\n def test__filter_usernames(self):\\n test = ['taco', '@burrito', 'cat', '@dog']\\n expect = ['taco', 'cat']\\n result = self.object._filter_usernames(test)\\n self.assertListEqual(result, expect)\\n \\n def test__filter_urls(self):\\n test = ['taco', '//t.co', 'cat', '//t.co']\\n expect = ['taco', 'cat']\\n result = self.object._filter_urls(test)\\n self.assertListEqual(result, expect)\\n \\n \\n def test_process(self):\\n test = [{'tweetID' : 1, 'tweetText' : \\\"The first tweet. It has text\\\"},\\n {'tweetID' : 2, 'tweetText' : \\\"The quick brown fox became a delicious taco for the hungry cat. All lived happily ever after\\\"}]\\n expect = [\\\"first\\\", \\\"tweet\\\", \\\"text\\\", \\\"quick\\\", \\\"brown\\\", \\\"fox\\\", \\\"became\\\", \\\"delicious\\\", \\\"taco\\\", \\\"hungry\\\", \\\"cat\\\",\\n \\\"lived\\\", \\\"happily\\\", \\\"ever\\\"]\\n self.object.add_to_ignorelist([\\\".\\\", \\\",\\\"])\\n self.object.add_to_ignorelist(nltk.corpus.stopwords.words('english'))\\n self.object.process(test)\\n self.assertEqual(self.object.masterbag, expect)\\n self.assertTupleEqual(self.object.tweet_tuples[0], (1, [\\\"first\\\", \\\"tweet\\\", \\\"text\\\"]))\\n self.assertTupleEqual(self.object.tweet_tuples[1], (2, [\\\"quick\\\", \\\"brown\\\", \\\"fox\\\", \\\"became\\\", \\\"delicious\\\", \\\"taco\\\", \\\"hungry\\\", \\\"cat\\\", \\\"lived\\\", \\\"happily\\\", \\\"ever\\\"]))\\n\\n\\nclass WordFiltersTest(unittest.TestCase):\\n def setUp(self):\\n self.object = WordFilters()\\n\\n def tearDown(self):\\n self.object = ''\\n \\n def test_remove_fragments(self):\\n test = ['cat', 'dog', \\\"amp\\\", '...', '//t.co', \\\"'re'\\\", \\\"'m\\\", 'fish', \\\"'s\\\", 'cow']\\n expect = ['cat', 'dog', 'fish', 'cow']\\n result = self.object.remove_fragments(test)\\n self.assertListEqual(result, expect)\\n \\n def test_remove_punctuation(self):\\n test = ['cat', 'dog', \\\"&\\\", '.', '/', \\\"'\\\", \\\"!\\\", 'fish', \\\"#\\\", 'cow']\\n expect = ['cat', 'dog', 'fish', 'cow']\\n result = self.object.remove_punctuation(test)\\n self.assertListEqual(result, expect)\\n \\n def test_filter_stopwords(self):\\n test = ['taco', 'a', 'cat', 'the']\\n expect = ['taco', 'cat']\\n result = self.object.filter_stopwords(test)\\n self.assertListEqual(result, expect)\"\n },\n {\n \"alpha_fraction\": 0.5550661087036133,\n \"alphanum_fraction\": 0.5560826659202576,\n \"avg_line_length\": 35.432098388671875,\n \"blob_id\": \"bbbbf318141134fa46777556ed8db9836196113e\",\n \"content_id\": \"e55fc568120522af1f433b51dd13da3d5b29001f\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2951,\n \"license_type\": \"permissive\",\n \"max_line_length\": 124,\n \"num_lines\": 81,\n \"path\": \"/ConstantsAndUtilities.py\",\n \"repo_name\": \"williehammonds/TwitterDataAnalysis\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import string\\n\\n\\nclass Ignore(object):\\n \\\"\\\"\\\"\\n This contains all the terms to be ignored from hashtags etc. It is inherited by other classes which do cleaning\\n \\n Attributes:\\n words: Dictionary with categories of irrelevant terms as keys (placenames, smallwords, socialmediaterms, irrelevant)\\n fragments: String fragments which should be filterd out\\n \\\"\\\"\\\"\\n fragments = [\\\"'s\\\", \\\"amp\\\", '...', '//t.co', \\\"'re'\\\", \\\"'m\\\"]\\n punctuation = string.punctuation\\n words = {\\n 'placenames' : ['tn', 'nashville', 'memphis', 'tennessee', 'knoxville', 'fl', 'tx', 'sc', 'nc', 'co', \\n 'nyc', 'va', 'ga', 'twittoma', 'team243'],\\n 'smallwords' : ['no', 'be', 'my', 'the', 'like', 'in', 'i', 'a', 'you', 'is', 'of', 'and', 'it', 'to',\\n 'this', 'so', 'for', 'on', 'up'], \\n 'socialmediaterms' : ['hashtag', 'selfie', 'repost', 'nofilter', 'instagram', 'instamood', 'instalike',\\n 'instadaily', 'picoftheday', 'photo', 'instapic', 'http', 'rt', 'mt'],\\n 'irrelevant' : ['recordstoreday', 'vinyl', 'naruto', 'bread' ]\\n }\\n\\n def __init__(self):\\n self.words = Ignore.words\\n wordlist = []\\n [wordlist.append(word) for k in Ignore.words.keys() for word in Ignore.words[k]]\\n # [wordlist.append(w) for w in wl for wl in self.words.values()]\\n self.wordtuple = tuple(wordlist)\\n\\n\\n @staticmethod\\n def iterable(self):\\n \\\"\\\"\\\"\\n Iterable object for all the contents of the ignore list\\n TODO Make a generator \\n \\\"\\\"\\\"\\n wordlist = []\\n [wordlist.append(word) for k in words.keys() for word in words[k]]\\n # [wordlist.append(w) for w in wl for wl in Ignore.words.values()]\\n return wordlist\\n\\n def generator(self):\\n \\\"\\\"\\\"\\n Generator which returns ignore words\\n \\\"\\\"\\\"\\n pass\\n # (word for word in self.wordtuple)\\n # yield word\\n\\n\\n @staticmethod\\n def get_list(self):\\n \\\"\\\"\\\"\\n Returns a list of everything to ignore\\n \\\"\\\"\\\"\\n wordlist = []\\n [wordlist.append(w) for wl in self.words.values() for w in wl]\\n wordlist += self.fragments\\n wordlist += self.punctuation\\n return wordlist\\n \\n \\nclass Merge(object):\\n \\\"\\\"\\\"\\n This holds terms which are to be merged together in analyzing graphs\\n \\n Attributes:\\n toMerge: Dictionary with the master term as key and values to be merged in list as values\\n \\\"\\\"\\\"\\n toMerge = {\\n 'Fibromyalgia' : ['fibro', 'fibromyalgia', 'fms', 'fm'],\\n 'CRPS' : ['crps', 'rsd'], \\n 'ChronicFatigue' : ['chronicfatigue', 'chronicfatiguesyndrome', 'cfs', 'mecfs', 'cfsme', 'cfids', \\n 'myalgicencephalomyelitis', 'mcs' ], \\n 'RheumatoidArthritis' : ['rheumatoid', 'ra', 'rheumatoidarthritis'],\\n 'Endometriosis' : ['endometriosis', 'endo']\\n }\\n\\nif __name__ == '__main__':\\n pass\\n\"\n },\n {\n \"alpha_fraction\": 0.6059828996658325,\n \"alphanum_fraction\": 0.6059828996658325,\n \"avg_line_length\": 21.960784912109375,\n \"blob_id\": \"4c0d30c4de846db05e1a82622a2a8f2c0ed8e8f9\",\n \"content_id\": \"23f888d2b90fdab8f632ade7a0049d1d33ef5f08\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1170,\n \"license_type\": \"permissive\",\n \"max_line_length\": 64,\n \"num_lines\": 51,\n \"path\": \"/TweetDAOs.py\",\n \"repo_name\": \"williehammonds/TwitterDataAnalysis\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"\\\"\\\"\\\"\\nThis contains classes for loading tweet data\\n\\nTHIS SHOULD INSTEAD USE THE DAO IN TwitterMining\\n\\\"\\\"\\\"\\n\\nimport DAO\\n\\n\\nclass TwitterSQLDAO(DAO.BaseDAO):\\n \\\"\\\"\\\"\\n Base database abstraction layer for twitter mysql database\\n \\\"\\\"\\\"\\n\\n def __init__(self, test=False, local=True):\\n if test is False:\\n databaseName = 'twitter_data'\\n else:\\n databaseName = 'twitter_dataTEST'\\n DAO.BaseDAO.__init__(self)\\n if local is False:\\n self.connectRemote(databaseName)\\n else:\\n self.connect(databaseName)\\n\\n\\nclass TweetTextGetter(TwitterSQLDAO):\\n \\\"\\\"\\\"\\n Loads all tweetids and tweettext\\n \\n Args:\\n test: Whether to use the test db\\n local: Whether to use the local or remote db\\n \\n Returns:\\n List of dictionaries with keys tweetID and tweetText\\n \\\"\\\"\\\"\\n\\n def __init__(self, test=False, local=True):\\n TwitterSQLDAO.__init__(self, test=test, local=local)\\n\\n\\n def load_tweets(self):\\n self.query = \\\"\\\"\\\"SELECT tweetID, tweetText FROM tweets\\\"\\\"\\\"\\n self.val = []\\n self.returnAll()\\n return list(self.results)\\n\\n\\nif __name__ == '__main__':\\n pass\"\n },\n {\n \"alpha_fraction\": 0.5942720770835876,\n \"alphanum_fraction\": 0.5990453362464905,\n \"avg_line_length\": 19.950000762939453,\n \"blob_id\": \"9f9d9ef35a699a1cb0528048f40a1f140679182d\",\n \"content_id\": \"b32f53076f5fcb97747c2662cb71e2bd92225ef5\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 419,\n \"license_type\": \"permissive\",\n \"max_line_length\": 42,\n \"num_lines\": 20,\n \"path\": \"/tests/test_ConstantsAndUtilities.py\",\n \"repo_name\": \"williehammonds/TwitterDataAnalysis\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"__author__ = 'adam'\\n\\nimport unittest\\nfrom ConstantsAndUtilities import *\\n\\n\\nclass IgnoreTest(unittest.TestCase):\\n def setUp(self):\\n self.object = Ignore()\\n\\n def test_generator(self):\\n pass\\n # # expect = Ignore.words[0][0]\\n # expect = 'recordstoreday'\\n # result = self.object.generator()\\n # self.assertEqual(expect, result)\\n\\n\\nif __name__ == '__main__':\\n unittest.main()\\n\"\n },\n {\n \"alpha_fraction\": 0.5718811750411987,\n \"alphanum_fraction\": 0.5817821621894836,\n \"avg_line_length\": 32.66222381591797,\n \"blob_id\": \"217351c5334bd3ef1085aceaee6e5c6e5ecf958f\",\n \"content_id\": \"b0808a07e207b9c63847aa59439c1edef224d81e\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 7575,\n \"license_type\": \"permissive\",\n \"max_line_length\": 127,\n \"num_lines\": 225,\n \"path\": \"/TextAnalysis/TextTools.py\",\n \"repo_name\": \"williehammonds/TwitterDataAnalysis\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"\\nimport nltk\\nfrom nltk.tokenize import word_tokenize, sent_tokenize\\nimport time\\n\\n#Used for WordFilters\\nfrom ConstantsAndUtilities import Ignore\\nimport string\\n\\nfrom OptimizationTools import *\\n\\nclass ProcessingError(Exception):\\n def __init__(self, identifier):\\n self.identifier = identifier\\n def __repr__(self):\\n return \\\"%s went bad on %s : %s\\\" % (self.kind, self.identifier_type, self.identifier)\\n\\nclass TweetProcessingError(ProcessingError):\\n def __init__(self, tweetID):\\n self.kind = 'TweetProcessing'\\n self.identifier_type = 'tweetID'\\n ProcessingError.__init__(self, tweetID)\\n\\nclass StringProcessingError(ProcessingError):\\n def __init__(self, string_processed):\\n self.kind = 'StringProcessing'\\n self.identifier_type = 'String content'\\n ProcessingError.__init__(self, string_processed)\\n\\n\\nclass TweetTextWordBagMaker(object):\\n \\\"\\\"\\\"\\n This takes a list of dictionaries containing tweetID and tweetText and processes the texts for bag of words type analyses.\\n \\n Before running the process command, all lists of strings to ignore should be loaded using add_to_ignorelist()\\n \\n \\n Attributes:\\n masterbag: List containing all words\\n ignore: Tuple of strings to ignore through filtering\\n tweet_tuples: List containing tuples with the structure (tweetID, [list of words in tweet])\\n \\\"\\\"\\\"\\n def __init__(self):\\n self.ignore = ()\\n self.masterbag = [] #This will hold all words\\n self.tweet_tuples = []\\n \\n def add_to_ignorelist(self, list_to_ignore):\\n \\\"\\\"\\\"\\n Add a list of strings to the internally held tuple of strings to ignore in processing text\\n \\n Args:\\n list_to_ignore: List of strings to ignore.\\n \\\"\\\"\\\"\\n self.ignore = list(self.ignore)\\n [self.ignore.append(i) for i in list_to_ignore]\\n self.ignore = set(self.ignore)\\n self.ignore = tuple(self.ignore)\\n \\n def process(self, list_of_dicts):\\n \\\"\\\"\\\"\\n Processes the tweet texts\\n Most recent execution time 599.286342144 sec for 732683 tweets\\n Moved stopwords filtration first: 891.928412914 for 732683 tweets\\n Merged stopwords into ignore list: 234.204810858 \\n 1 loops, best of 3: 14min 56s per loop\\n TODO: Change order of execution for optimization\\n \\n Args:\\n list_of_dicts: List of dictionaries with keys tweetID and tweetText\\n \\\"\\\"\\\"\\n for t in list_of_dicts:\\n tweetid = t['tweetID']\\n #process text\\n words = self._make_wordbag(t['tweetText'])\\n #words = self._filter_stopwords(words)\\n words = self._filter_ignored_terms(words)\\n words = self._filter_usernames(words)\\n words = self._filter_urls(words)\\n #process tuple\\n tweet_tuple = (tweetid, words)\\n self.tweet_tuples.append(tweet_tuple)\\n self.masterbag += words\\n \\n def new_process(self, list_of_dicts):\\n \\\"\\\"\\\"\\n Best time 225.85651803\\n \\\"\\\"\\\"\\n for t in list_of_dicts:\\n tweetid = t['tweetID']\\n #process text\\n words = self._make_wordbag(t['tweetText'])\\n words = [w for w in words if self._check_unwanted(w) and w not in self.ignore ]\\n #process tuple\\n tweet_tuple = (tweetid, words)\\n self.tweet_tuples.append(tweet_tuple)\\n self.masterbag += words\\n \\n def OLDprocess(self, list_of_dicts): \\n for t in list(self.results):\\n tweetid = t['tweetID']\\n #process text\\n words = [word for sent in sent_tokenize(t['tweetText']) for word in word_tokenize(sent)]\\n words = [w.lower() for w in words]\\n words = [w for w in words if w not in Ignore.punctuation]#remove punctuation\\n words = [w for w in words if w not in Ignore.fragments]#remove fragments\\n words = [w for w in words if w[0] != '@']#Get rid of usernames\\n words = [w for w in words if w[0:6] != '//t.co'] #Remove some urls\\n words = [w for w in words if w not in Ignore.words['socialmediaterms']] #Remove terms from social media\\n words = [w for w in words if w not in nltk.corpus.stopwords.words('english')] #Remove stopwords\\n #process tuple\\n tweet_tuple = (tweetid, words)\\n self.tweet_tuples.append(tweet_tuple)\\n self.masterbag += words\\n \\n def _make_wordbag(self, text):\\n \\\"\\\"\\\"\\n Takes a bunch of sentences and extracts all the words, makes them lowercase, and returns them in a list\\n \\n Args:\\n text: String text to be word tokenized\\n \\n Returns:\\n List of words, all lower case\\n \\\"\\\"\\\"\\n bag = [word.lower() for sent in sent_tokenize(text) for word in word_tokenize(sent)]\\n return bag\\n\\n def _filter_ignored_terms(self, wordlist):\\n \\\"\\\"\\\"\\n Remove items that are in the ignore list\\n \\n Args:\\n wordlist: List of strings to be filtered\\n \\n Returns:\\n Filtered list\\n \\\"\\\"\\\"\\n if len(self.ignore) == 0:\\n pass\\n # TODO Raise error message\\n #raise\\n words = [w for w in wordlist if w not in self.ignore]\\n return words\\n \\n def _check_unwanted(self, word):\\n if word[0] != '@' and word[0:6] != '//t.co':\\n return True\\n else:\\n return False\\n \\n def _filter_usernames(self, wordlist):\\n \\\"\\\"\\\"\\n Gets rid of usernames by recognizing the @\\n TODO: Modify to recognize cases of .@username\\n \\n \\\"\\\"\\\"\\n words = [w for w in wordlist if w[0] != '@']\\n return words\\n \\n def _filter_urls(self, wordlist):\\n \\\"\\\"\\\"\\n Removes some urls\\n TODO: Make this better\\n \\n Args:\\n wordlist: List of strings to be filtered\\n \\n Returns:\\n Filtered list\\n \\\"\\\"\\\"\\n words = [w for w in wordlist if w[0:6] != '//t.co']\\n return words\\n \\n\\n\\nclass WordFilters(object):\\n \\\"\\\"\\\"\\n This has filters for removing various strings and string components.\\n \\n \\\"\\\"\\\"\\n \\n @staticmethod\\n def remove_fragments(wordlist):\\n \\\"\\\"\\\"\\n Filters string fragments from the list and returns the filtered list\\n \\n Args:\\n wordlist: A list of words to have fragments removed from\\n \\n Returns:\\n The filtered list\\n \\\"\\\"\\\"\\n wordlist = [w for w in wordlist if w not in Ignore.fragments]#remove fragments\\n return wordlist\\n\\n @staticmethod \\n def remove_punctuation(wordlist):\\n \\\"\\\"\\\"\\n Filters out punctuation from input list. Does not filter at the word level (e.g., will not remove the period in \\\"cat.\\\")\\n \\n Args:\\n wordlist: A list of strings to be filtered for list items which are punctuation marks. \\n \\n Returns:\\n The filtered list\\n \\\"\\\"\\\"\\n wordlist = [w for w in wordlist if w not in string.punctuation]#remove punctuation\\n return wordlist\\n \\n @staticmethod\\n def filter_stopwords(wordlist):\\n \\\"\\\"\\\"\\n Uses NLTK English stopwords corpus to remove stopwords.\\n \\n Args:\\n wordlist: List of strings to be filtered\\n \\n Returns:\\n Filtered list\\n \\\"\\\"\\\"\\n words = [w for w in wordlist if w not in nltk.corpus.stopwords.words('english')]\\n return words\\n\\nif __name__ == '__main__':\\n pass\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":5,"string":"5"}}},{"rowIdx":2980075,"cells":{"repo_name":{"kind":"string","value":"bryand1/textsummarization"},"repo_url":{"kind":"string","value":"https://github.com/bryand1/textsummarization"},"snapshot_id":{"kind":"string","value":"2c6057d89fc5e21deeff8fe63b90deaaa71e49fb"},"revision_id":{"kind":"string","value":"db22bebb5ee20eb9f35da19eb1baabf2e35a53b0"},"directory_id":{"kind":"string","value":"6a9e84af14cc2485830ad8cb80ee455c2eb253b0"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2022-12-16T05:58:37.469921","string":"2022-12-16T05:58:37.469921"},"revision_date":{"kind":"timestamp","value":"2018-05-03T18:26:56","string":"2018-05-03T18:26:56"},"committer_date":{"kind":"timestamp","value":"2018-05-03T18:26:56","string":"2018-05-03T18:26:56"},"github_id":{"kind":"number","value":132033886,"string":"132,033,886"},"star_events_count":{"kind":"number","value":1,"string":"1"},"fork_events_count":{"kind":"number","value":1,"string":"1"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"timestamp","value":"2018-05-03T18:21:09","string":"2018-05-03T18:21:09"},"gha_updated_at":{"kind":"timestamp","value":"2019-08-09T11:43:54","string":"2019-08-09T11:43:54"},"gha_pushed_at":{"kind":"timestamp","value":"2022-12-08T00:01:14","string":"2022-12-08T00:01:14"},"gha_language":{"kind":"string","value":"Python"},"files":{"kind":"list like","value":[{"alpha_fraction":0.7527114748954773,"alphanum_fraction":0.7527114748954773,"avg_line_length":26.117647171020508,"blob_id":"2f03d7dbab6fa0a25239bd674fb363c646927fc3","content_id":"c88bf7b4644d3173c456f817be2fcacb84028ed1","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":461,"license_type":"no_license","max_line_length":72,"num_lines":17,"path":"/util.py","repo_name":"bryand1/textsummarization","src_encoding":"UTF-8","text":"import config\nimport logging\nimport sys\nimport time\n\n\ndef get_logger(name):\n logger = logging.getLogger(name)\n logger.setLevel(config.LOGLEVEL)\n formatter = logging.Formatter(config.LOGFMT, datefmt=config.DATEFMT)\n formatter.converter = time.gmtime\n handler = logging.StreamHandler(sys.stdout)\n handler.setLevel(config.LOGLEVEL)\n handler.setFormatter(formatter)\n logger.addHandler(handler)\n logger.propagate = False\n return logger\n"},{"alpha_fraction":0.5921908617019653,"alphanum_fraction":0.5965293049812317,"avg_line_length":28.74193572998047,"blob_id":"63e208c7c4d23cfc9f127e7e300f6b8e0f4bf932","content_id":"7994945ed738fd77cce4e22ebd621563608a5809","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1844,"license_type":"no_license","max_line_length":89,"num_lines":62,"path":"/main.py","repo_name":"bryand1/textsummarization","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n\"\"\"\nSee and compare the output of popular extractive summarization APIs.\n@author Bryan Andrade <bryand1@gmail.com>\n@version v0.0.1\n\nAPIs tested\n1. TextAnalysis Text Summarization\n2. SMMRY\n\nUsage: python3 main.py [--api textsummarization | smmry]\n\nArgs:\n--api Choose which API to test. Default is to run all APIs\n\"\"\"\nimport api\nimport argparse\nimport config\nimport os\nimport util\n\nlogger = util.get_logger(\"main\")\n\nif __name__ == '__main__':\n p = argparse.ArgumentParser()\n p.add_argument('--api', type=str)\n cmdargs = p.parse_args()\n # If cmdargs.api is None, user intends to run all summary APIs\n article = 'uber-vs-lyft.txt'\n with open(os.path.join(config.WD, 'article', article)) as fh:\n text = fh.read()\n logger.info(\"Loaded article %s\", article)\n # TextAnalysis Text Summarization API\n if cmdargs.api == 'textsummarization' or cmdargs.api is None:\n args = (\n config.TEXTSUMMARIZATION_URL,\n config.X_MASHAPE_KEY,\n config.SENTNUM,\n text\n )\n resp = api.textsummarization.summarize(*args)\n js = resp.json()\n output = []\n for i, sentence in enumerate(js['sentences']):\n output.append(f\"{i + 1}: {sentence}\")\n with open(os.path.join(config.WD, 'output', 'textsummarization.txt'), 'w') as fh:\n fh.write('\\n'.join(output))\n logger.info(\"textsummarization done\")\n\n # SMMRY\n if cmdargs.api == 'smmry' or cmdargs.api is None:\n args = (\n config.SMMRY_URL,\n config.SMMRY_KEY,\n config.SENTNUM,\n text\n )\n resp = api.smmry.summarize(*args)\n js = resp.json()\n with open(os.path.join(config.WD, 'output', 'smmry.txt'), 'w') as fh:\n fh.write(js['sm_api_content'])\n logger.info(\"smmry done\")\n"},{"alpha_fraction":0.6462196707725525,"alphanum_fraction":0.6462196707725525,"avg_line_length":27.040000915527344,"blob_id":"21bbeeaf49e5e1828111000a3c73b875fcdf95bd","content_id":"10bfe75d4c907898c4efb43812bc0894e748f55a","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":701,"license_type":"no_license","max_line_length":71,"num_lines":25,"path":"/api/textsummarization.py","repo_name":"bryand1/textsummarization","src_encoding":"UTF-8","text":"import requests\n\n\ndef summarize(api_endpoint, api_key, num_sentences, text_to_summarize):\n \"\"\"\n TextAnalysis Text Summarization API - provided by Mashape\n :param api_endpoint: string url\n :param api_key: string credential\n :param text_to_summarize: plain text article\n :param num_sentences: int of size of the summary\n :return: requests.Response\n \"\"\"\n headers = {\n 'X-Mashape-Key': api_key,\n 'Content-Type': 'application/x-www-form-urlencoded',\n 'Accept': 'application/json'\n }\n\n data = {\n 'sentnum': num_sentences,\n 'text': text_to_summarize\n }\n\n resp = requests.post(api_endpoint, headers=headers, data=data)\n return resp\n"},{"alpha_fraction":0.7066380977630615,"alphanum_fraction":0.7109207510948181,"avg_line_length":28.1875,"blob_id":"d6f9b14a36890b5182b8841404cb4273c4936256","content_id":"22bd4ad91538367cfa31e8aa2b17f2782ee496ca","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":467,"license_type":"no_license","max_line_length":100,"num_lines":16,"path":"/config.py","repo_name":"bryand1/textsummarization","src_encoding":"UTF-8","text":"import os\nimport logging\n\nWD = os.path.dirname(os.path.abspath(__file__))\n\nLOGLEVEL = logging.INFO\nLOGFMT = \"%(asctime)s %(name)s %(levelname)s %(message)s\"\nDATEFMT = \"%Y-%m-%d %H:%M:%S\"\n\nX_MASHAPE_KEY = os.environ.get('X_MASHAPE_KEY')\n\nTEXTSUMMARIZATION_URL = 'https://textanalysis-text-summarization.p.mashape.com/text-summarizer-text'\nSMMRY_URL = 'https://api.smmry.com'\nSMMRY_KEY = os.environ.get('SMMRY_KEY')\n# Number of sentences in summary output\nSENTNUM = 10\n"},{"alpha_fraction":0.6612021923065186,"alphanum_fraction":0.6612021923065186,"avg_line_length":31.294116973876953,"blob_id":"b37f6234a1c784165e26c13079ceb9a7c47e71ee","content_id":"2859d991cd3b5bb4f046fbfd9451be5826d7d2ef","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":549,"license_type":"no_license","max_line_length":71,"num_lines":17,"path":"/api/smmry.py","repo_name":"bryand1/textsummarization","src_encoding":"UTF-8","text":"import requests\n\n\ndef summarize(api_endpoint, api_key, num_sentences, text_to_summarize):\n \"\"\"\n SMMRY - text summarization API\n :param api_endpoint: string url\n :param api_key: string credential\n :param text_to_summarize: plain text article\n :param num_sentences: int of size of the summary\n :return: requests.Response\n \"\"\"\n url = \"{}/?SM_API_KEY={}&SM_LENGTH={}\".format(\n api_endpoint, api_key, num_sentences)\n data = {'sm_api_input': text_to_summarize}\n resp = requests.post(url, data=data)\n return resp\n"},{"alpha_fraction":0.7235862016677856,"alphanum_fraction":0.7263448238372803,"avg_line_length":36.76041793823242,"blob_id":"bf1bd1456246e73bc1f1590aca15cb3db477ca69","content_id":"c062db06db1de2ac6546f9aee41d1e903a1dfd4a","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":3625,"license_type":"no_license","max_line_length":570,"num_lines":96,"path":"/README.md","repo_name":"bryand1/textsummarization","src_encoding":"UTF-8","text":"# Text Summarization Comparison\n\n### Objective\n\nSee and compare the output of popular extractive summarization APIs.\n\n### Getting started\n\n```bash\ngit clone https://github.com/bryand1/textsummarization.git\ncd textsummarization\npip3 install -r requirements.txt\ntouch apikeys.env\n# Edit apikeys.env with your API keys\n# export X_MASHAPE_KEY=[YOUR KEY]\n# export SMMRY_KEY=[YOUR KEY]\nbash run.sh\n```\n\n### APIs Tested\n\n+ [TextAnalysis Text Summarization](https://market.mashape.com/textanalysis/text-summarization)\n+ [SMMRY](https://smmry.com/)\n\n#### Text Summarization\n\n```python\n# request format\n# These code snippets use an open-source library. http://unirest.io/python\nresponse = unirest.post(\"https://textanalysis-text-summarization.p.mashape.com/text-summarizer-text\",\n headers={\n \"X-Mashape-Key\": \"[ENTER KEY HERE]\",\n \"Content-Type\": \"application/x-www-form-urlencoded\",\n \"Accept\": \"application/json\"\n },\n params={\n \"sentnum\": 5,\n \"text\": \"Automatic summarization is the process of reducing a text document with a computer program in order to create a summary that retains the most important points of the original document. As the problem of information overload has grown, and as the quantity of data has increased, so has interest in automatic summarization. Technologies that can make a coherent summary take into account variables such as length, writing style and syntax. An example of the use of summarization technology is search engines such as Google. Document summarization is another.\"\n }\n)\n```\n\nText Summarization returns a JSON response.\n\n```javascript\n{\n \"sentences\": [\n \"Text of sentence #1...\",\n \"Text of sentence #2...\",\n // etc.\n ]\n}\n```\n\n#### SMMRY\n\nExcerpts from [SMMRY API documentation](https://smmry.com/api)\n\nThe API request must be made to https://api.smmry.com. The returned response will be encoded in JSON.\n\nHere are the possible parameters placed in the request URL.\n \n+ SM\\_API\\_KEY=N Required, your API key.\n+ SM\\_URL=X Optional, the webpage to summarize.\n+ SM\\_LENGTH=N Optional, the number of sentences returned, default 7.\n+ SM\\_KEYWORD_COUNT=N Optional, N the number of keywords to return.\n+ SM\\_WITH\\_BREAK Optional, inserts the string [BREAK] between sentences.\n+ SM\\_WITH\\_ENCODE Optional, converts HTML entities to their applicable chars.\n+ SM\\_IGNORE\\_LENGTH Optional, returns summary regardless of quality or length.\n+ SM\\_QUOTE\\_AVOID Optional, sentences with quotations will be excluded.\n+ SM\\_QUESTION\\_AVOID Optional, sentences with question will be excluded.\n+ SM\\_EXCLAMATION\\_AVOID Optional, sentences with exclamation marks will be excluded.\n\nHere are the possible indexes of the array returned in a JSON array.\n \n+ sm\\_api\\_message Contains notices, warnings, and error messages.\n+ sm\\_api\\_character_count Contains the amount of characters returned.\n+ sm\\_api\\_title Contains the title when available.\n+ sm\\_api\\_content Contains the summary.\n+ sm\\_api\\_keyword\\_array Contains top ranked keywords in descending order.\n+ sm\\_api\\_error Contains error code.\n\n```php\n$text = \"Your long text goes here...\";\n\n$ch = curl_init(\"http://api.smmry.com/&SM_API_KEY=X\");\ncurl_setopt($ch, CURLOPT_HTTPHEADER, array(\"Expect:\")); // See Note\ncurl_setopt($ch, CURLOPT_POST, true); \ncurl_setopt($ch, CURLOPT_POSTFIELDS, \"sm_api_input=\".$text);\ncurl_setopt($ch, CURLOPT_FOLLOWLOCATION, true);\ncurl_setopt($ch, CURLOPT_RETURNTRANSFER, true);\ncurl_setopt($ch, CURLOPT_CONNECTTIMEOUT, 20);\ncurl_setopt($ch, CURLOPT_TIMEOUT, 20);\n$return = json_decode(curl_exec($ch), true);\ncurl_close($ch);\n```\n"},{"alpha_fraction":0.807692289352417,"alphanum_fraction":0.807692289352417,"avg_line_length":25,"blob_id":"b1a02d58dbfbb8dd7827a68cbb032453f77f2b6a","content_id":"50ba5f571383f5956abdba89e9ecb97e4b419888","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":52,"license_type":"no_license","max_line_length":31,"num_lines":2,"path":"/api/__init__.py","repo_name":"bryand1/textsummarization","src_encoding":"UTF-8","text":"from . import smmry\nfrom . import textsummarization\n"},{"alpha_fraction":0.3921568691730499,"alphanum_fraction":0.6764705777168274,"avg_line_length":13.714285850524902,"blob_id":"0eeac963ac580cddadaf7c12c9dc8d4c6475f8cf","content_id":"38b3f0049daf19d739d0b40d9e814d5cc6a4a6c2","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Text","length_bytes":102,"license_type":"no_license","max_line_length":18,"num_lines":7,"path":"/requirements.txt","repo_name":"bryand1/textsummarization","src_encoding":"UTF-8","text":"attrs==17.4.0\ncertifi==2017.4.17\nchardet==3.0.3\nidna==2.5\nrequests==2.17.3\nsix==1.11.0\nurllib3==1.21.1"}],"string":"[\n {\n \"alpha_fraction\": 0.7527114748954773,\n \"alphanum_fraction\": 0.7527114748954773,\n \"avg_line_length\": 26.117647171020508,\n \"blob_id\": \"2f03d7dbab6fa0a25239bd674fb363c646927fc3\",\n \"content_id\": \"c88bf7b4644d3173c456f817be2fcacb84028ed1\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 461,\n \"license_type\": \"no_license\",\n \"max_line_length\": 72,\n \"num_lines\": 17,\n \"path\": \"/util.py\",\n \"repo_name\": \"bryand1/textsummarization\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import config\\nimport logging\\nimport sys\\nimport time\\n\\n\\ndef get_logger(name):\\n logger = logging.getLogger(name)\\n logger.setLevel(config.LOGLEVEL)\\n formatter = logging.Formatter(config.LOGFMT, datefmt=config.DATEFMT)\\n formatter.converter = time.gmtime\\n handler = logging.StreamHandler(sys.stdout)\\n handler.setLevel(config.LOGLEVEL)\\n handler.setFormatter(formatter)\\n logger.addHandler(handler)\\n logger.propagate = False\\n return logger\\n\"\n },\n {\n \"alpha_fraction\": 0.5921908617019653,\n \"alphanum_fraction\": 0.5965293049812317,\n \"avg_line_length\": 28.74193572998047,\n \"blob_id\": \"63e208c7c4d23cfc9f127e7e300f6b8e0f4bf932\",\n \"content_id\": \"7994945ed738fd77cce4e22ebd621563608a5809\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1844,\n \"license_type\": \"no_license\",\n \"max_line_length\": 89,\n \"num_lines\": 62,\n \"path\": \"/main.py\",\n \"repo_name\": \"bryand1/textsummarization\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\\"\\\"\\\"\\nSee and compare the output of popular extractive summarization APIs.\\n@author Bryan Andrade <bryand1@gmail.com>\\n@version v0.0.1\\n\\nAPIs tested\\n1. TextAnalysis Text Summarization\\n2. SMMRY\\n\\nUsage: python3 main.py [--api textsummarization | smmry]\\n\\nArgs:\\n--api Choose which API to test. Default is to run all APIs\\n\\\"\\\"\\\"\\nimport api\\nimport argparse\\nimport config\\nimport os\\nimport util\\n\\nlogger = util.get_logger(\\\"main\\\")\\n\\nif __name__ == '__main__':\\n p = argparse.ArgumentParser()\\n p.add_argument('--api', type=str)\\n cmdargs = p.parse_args()\\n # If cmdargs.api is None, user intends to run all summary APIs\\n article = 'uber-vs-lyft.txt'\\n with open(os.path.join(config.WD, 'article', article)) as fh:\\n text = fh.read()\\n logger.info(\\\"Loaded article %s\\\", article)\\n # TextAnalysis Text Summarization API\\n if cmdargs.api == 'textsummarization' or cmdargs.api is None:\\n args = (\\n config.TEXTSUMMARIZATION_URL,\\n config.X_MASHAPE_KEY,\\n config.SENTNUM,\\n text\\n )\\n resp = api.textsummarization.summarize(*args)\\n js = resp.json()\\n output = []\\n for i, sentence in enumerate(js['sentences']):\\n output.append(f\\\"{i + 1}: {sentence}\\\")\\n with open(os.path.join(config.WD, 'output', 'textsummarization.txt'), 'w') as fh:\\n fh.write('\\\\n'.join(output))\\n logger.info(\\\"textsummarization done\\\")\\n\\n # SMMRY\\n if cmdargs.api == 'smmry' or cmdargs.api is None:\\n args = (\\n config.SMMRY_URL,\\n config.SMMRY_KEY,\\n config.SENTNUM,\\n text\\n )\\n resp = api.smmry.summarize(*args)\\n js = resp.json()\\n with open(os.path.join(config.WD, 'output', 'smmry.txt'), 'w') as fh:\\n fh.write(js['sm_api_content'])\\n logger.info(\\\"smmry done\\\")\\n\"\n },\n {\n \"alpha_fraction\": 0.6462196707725525,\n \"alphanum_fraction\": 0.6462196707725525,\n \"avg_line_length\": 27.040000915527344,\n \"blob_id\": \"21bbeeaf49e5e1828111000a3c73b875fcdf95bd\",\n \"content_id\": \"10bfe75d4c907898c4efb43812bc0894e748f55a\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 701,\n \"license_type\": \"no_license\",\n \"max_line_length\": 71,\n \"num_lines\": 25,\n \"path\": \"/api/textsummarization.py\",\n \"repo_name\": \"bryand1/textsummarization\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import requests\\n\\n\\ndef summarize(api_endpoint, api_key, num_sentences, text_to_summarize):\\n \\\"\\\"\\\"\\n TextAnalysis Text Summarization API - provided by Mashape\\n :param api_endpoint: string url\\n :param api_key: string credential\\n :param text_to_summarize: plain text article\\n :param num_sentences: int of size of the summary\\n :return: requests.Response\\n \\\"\\\"\\\"\\n headers = {\\n 'X-Mashape-Key': api_key,\\n 'Content-Type': 'application/x-www-form-urlencoded',\\n 'Accept': 'application/json'\\n }\\n\\n data = {\\n 'sentnum': num_sentences,\\n 'text': text_to_summarize\\n }\\n\\n resp = requests.post(api_endpoint, headers=headers, data=data)\\n return resp\\n\"\n },\n {\n \"alpha_fraction\": 0.7066380977630615,\n \"alphanum_fraction\": 0.7109207510948181,\n \"avg_line_length\": 28.1875,\n \"blob_id\": \"d6f9b14a36890b5182b8841404cb4273c4936256\",\n \"content_id\": \"22bd4ad91538367cfa31e8aa2b17f2782ee496ca\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 467,\n \"license_type\": \"no_license\",\n \"max_line_length\": 100,\n \"num_lines\": 16,\n \"path\": \"/config.py\",\n \"repo_name\": \"bryand1/textsummarization\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import os\\nimport logging\\n\\nWD = os.path.dirname(os.path.abspath(__file__))\\n\\nLOGLEVEL = logging.INFO\\nLOGFMT = \\\"%(asctime)s %(name)s %(levelname)s %(message)s\\\"\\nDATEFMT = \\\"%Y-%m-%d %H:%M:%S\\\"\\n\\nX_MASHAPE_KEY = os.environ.get('X_MASHAPE_KEY')\\n\\nTEXTSUMMARIZATION_URL = 'https://textanalysis-text-summarization.p.mashape.com/text-summarizer-text'\\nSMMRY_URL = 'https://api.smmry.com'\\nSMMRY_KEY = os.environ.get('SMMRY_KEY')\\n# Number of sentences in summary output\\nSENTNUM = 10\\n\"\n },\n {\n \"alpha_fraction\": 0.6612021923065186,\n \"alphanum_fraction\": 0.6612021923065186,\n \"avg_line_length\": 31.294116973876953,\n \"blob_id\": \"b37f6234a1c784165e26c13079ceb9a7c47e71ee\",\n \"content_id\": \"2859d991cd3b5bb4f046fbfd9451be5826d7d2ef\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 549,\n \"license_type\": \"no_license\",\n \"max_line_length\": 71,\n \"num_lines\": 17,\n \"path\": \"/api/smmry.py\",\n \"repo_name\": \"bryand1/textsummarization\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import requests\\n\\n\\ndef summarize(api_endpoint, api_key, num_sentences, text_to_summarize):\\n \\\"\\\"\\\"\\n SMMRY - text summarization API\\n :param api_endpoint: string url\\n :param api_key: string credential\\n :param text_to_summarize: plain text article\\n :param num_sentences: int of size of the summary\\n :return: requests.Response\\n \\\"\\\"\\\"\\n url = \\\"{}/?SM_API_KEY={}&SM_LENGTH={}\\\".format(\\n api_endpoint, api_key, num_sentences)\\n data = {'sm_api_input': text_to_summarize}\\n resp = requests.post(url, data=data)\\n return resp\\n\"\n },\n {\n \"alpha_fraction\": 0.7235862016677856,\n \"alphanum_fraction\": 0.7263448238372803,\n \"avg_line_length\": 36.76041793823242,\n \"blob_id\": \"bf1bd1456246e73bc1f1590aca15cb3db477ca69\",\n \"content_id\": \"c062db06db1de2ac6546f9aee41d1e903a1dfd4a\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 3625,\n \"license_type\": \"no_license\",\n \"max_line_length\": 570,\n \"num_lines\": 96,\n \"path\": \"/README.md\",\n \"repo_name\": \"bryand1/textsummarization\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# Text Summarization Comparison\\n\\n### Objective\\n\\nSee and compare the output of popular extractive summarization APIs.\\n\\n### Getting started\\n\\n```bash\\ngit clone https://github.com/bryand1/textsummarization.git\\ncd textsummarization\\npip3 install -r requirements.txt\\ntouch apikeys.env\\n# Edit apikeys.env with your API keys\\n# export X_MASHAPE_KEY=[YOUR KEY]\\n# export SMMRY_KEY=[YOUR KEY]\\nbash run.sh\\n```\\n\\n### APIs Tested\\n\\n+ [TextAnalysis Text Summarization](https://market.mashape.com/textanalysis/text-summarization)\\n+ [SMMRY](https://smmry.com/)\\n\\n#### Text Summarization\\n\\n```python\\n# request format\\n# These code snippets use an open-source library. http://unirest.io/python\\nresponse = unirest.post(\\\"https://textanalysis-text-summarization.p.mashape.com/text-summarizer-text\\\",\\n headers={\\n \\\"X-Mashape-Key\\\": \\\"[ENTER KEY HERE]\\\",\\n \\\"Content-Type\\\": \\\"application/x-www-form-urlencoded\\\",\\n \\\"Accept\\\": \\\"application/json\\\"\\n },\\n params={\\n \\\"sentnum\\\": 5,\\n \\\"text\\\": \\\"Automatic summarization is the process of reducing a text document with a computer program in order to create a summary that retains the most important points of the original document. As the problem of information overload has grown, and as the quantity of data has increased, so has interest in automatic summarization. Technologies that can make a coherent summary take into account variables such as length, writing style and syntax. An example of the use of summarization technology is search engines such as Google. Document summarization is another.\\\"\\n }\\n)\\n```\\n\\nText Summarization returns a JSON response.\\n\\n```javascript\\n{\\n \\\"sentences\\\": [\\n \\\"Text of sentence #1...\\\",\\n \\\"Text of sentence #2...\\\",\\n // etc.\\n ]\\n}\\n```\\n\\n#### SMMRY\\n\\nExcerpts from [SMMRY API documentation](https://smmry.com/api)\\n\\nThe API request must be made to https://api.smmry.com. The returned response will be encoded in JSON.\\n\\nHere are the possible parameters placed in the request URL.\\n \\n+ SM\\\\_API\\\\_KEY=N Required, your API key.\\n+ SM\\\\_URL=X Optional, the webpage to summarize.\\n+ SM\\\\_LENGTH=N Optional, the number of sentences returned, default 7.\\n+ SM\\\\_KEYWORD_COUNT=N Optional, N the number of keywords to return.\\n+ SM\\\\_WITH\\\\_BREAK Optional, inserts the string [BREAK] between sentences.\\n+ SM\\\\_WITH\\\\_ENCODE Optional, converts HTML entities to their applicable chars.\\n+ SM\\\\_IGNORE\\\\_LENGTH Optional, returns summary regardless of quality or length.\\n+ SM\\\\_QUOTE\\\\_AVOID Optional, sentences with quotations will be excluded.\\n+ SM\\\\_QUESTION\\\\_AVOID Optional, sentences with question will be excluded.\\n+ SM\\\\_EXCLAMATION\\\\_AVOID Optional, sentences with exclamation marks will be excluded.\\n\\nHere are the possible indexes of the array returned in a JSON array.\\n \\n+ sm\\\\_api\\\\_message Contains notices, warnings, and error messages.\\n+ sm\\\\_api\\\\_character_count Contains the amount of characters returned.\\n+ sm\\\\_api\\\\_title Contains the title when available.\\n+ sm\\\\_api\\\\_content Contains the summary.\\n+ sm\\\\_api\\\\_keyword\\\\_array Contains top ranked keywords in descending order.\\n+ sm\\\\_api\\\\_error Contains error code.\\n\\n```php\\n$text = \\\"Your long text goes here...\\\";\\n\\n$ch = curl_init(\\\"http://api.smmry.com/&SM_API_KEY=X\\\");\\ncurl_setopt($ch, CURLOPT_HTTPHEADER, array(\\\"Expect:\\\")); // See Note\\ncurl_setopt($ch, CURLOPT_POST, true); \\ncurl_setopt($ch, CURLOPT_POSTFIELDS, \\\"sm_api_input=\\\".$text);\\ncurl_setopt($ch, CURLOPT_FOLLOWLOCATION, true);\\ncurl_setopt($ch, CURLOPT_RETURNTRANSFER, true);\\ncurl_setopt($ch, CURLOPT_CONNECTTIMEOUT, 20);\\ncurl_setopt($ch, CURLOPT_TIMEOUT, 20);\\n$return = json_decode(curl_exec($ch), true);\\ncurl_close($ch);\\n```\\n\"\n },\n {\n \"alpha_fraction\": 0.807692289352417,\n \"alphanum_fraction\": 0.807692289352417,\n \"avg_line_length\": 25,\n \"blob_id\": \"b1a02d58dbfbb8dd7827a68cbb032453f77f2b6a\",\n \"content_id\": \"50ba5f571383f5956abdba89e9ecb97e4b419888\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 52,\n \"license_type\": \"no_license\",\n \"max_line_length\": 31,\n \"num_lines\": 2,\n \"path\": \"/api/__init__.py\",\n \"repo_name\": \"bryand1/textsummarization\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from . import smmry\\nfrom . import textsummarization\\n\"\n },\n {\n \"alpha_fraction\": 0.3921568691730499,\n \"alphanum_fraction\": 0.6764705777168274,\n \"avg_line_length\": 13.714285850524902,\n \"blob_id\": \"0eeac963ac580cddadaf7c12c9dc8d4c6475f8cf\",\n \"content_id\": \"38b3f0049daf19d739d0b40d9e814d5cc6a4a6c2\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Text\",\n \"length_bytes\": 102,\n \"license_type\": \"no_license\",\n \"max_line_length\": 18,\n \"num_lines\": 7,\n \"path\": \"/requirements.txt\",\n \"repo_name\": \"bryand1/textsummarization\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"attrs==17.4.0\\ncertifi==2017.4.17\\nchardet==3.0.3\\nidna==2.5\\nrequests==2.17.3\\nsix==1.11.0\\nurllib3==1.21.1\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":8,"string":"8"}}},{"rowIdx":2980076,"cells":{"repo_name":{"kind":"string","value":"kiradegraw/testRemoteRepo"},"repo_url":{"kind":"string","value":"https://github.com/kiradegraw/testRemoteRepo"},"snapshot_id":{"kind":"string","value":"037c9f7e09ba2fceab4ff401b7142bbd44ff2f5a"},"revision_id":{"kind":"string","value":"5be45d9a6e2db3487a1e4dffa660dcccd21868f5"},"directory_id":{"kind":"string","value":"d7f1a90afdf2b85ab9566e21776a06088c8b27ba"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2023-07-27T23:31:12.013112","string":"2023-07-27T23:31:12.013112"},"revision_date":{"kind":"timestamp","value":"2021-09-07T23:29:56","string":"2021-09-07T23:29:56"},"committer_date":{"kind":"timestamp","value":"2021-09-07T23:29:56","string":"2021-09-07T23:29:56"},"github_id":{"kind":"number","value":404149810,"string":"404,149,810"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.5218855142593384,"alphanum_fraction":0.5412458181381226,"avg_line_length":18.393442153930664,"blob_id":"19293bd2a7deaabd65409900dc3a5c2ec7159123","content_id":"be30b54a297e5221a3ec5b7b15cd00363a3dbfac","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1188,"license_type":"no_license","max_line_length":78,"num_lines":61,"path":"/newtons_method.py","repo_name":"kiradegraw/testRemoteRepo","src_encoding":"UTF-8","text":"#! /usr/bin/env python3\n\nimport sys\n\nfrom typing import (Callable)\nimport typing\nfrom fractions import (Fraction)\n\n\nEPSILON = 10e-6\nMAX_ITERATIONS = 100\n\ndef newtons_method(f, df, x_n, eps=EPSILON):\n\n n = 0\n\n next_x_n = x_n + 1000 * eps\n while abs(x_n - next_x_n) > eps:\n x_n = next_x_n\n next_x_n = x_n - (f(x_n) / df(x_n))\n\n if n >= MAX_ITERATIONS:\n break\n\n n += 1\n\n return x_n\n\n\ndef main():\n try:\n initial_guess = float(sys.argv[1])\n\n except IndexError as error:\n print(\"Usage: {0} initial_guess\".format(*sys.argv))\n sys.exit(1)\n\n except ValueError as error:\n print(\"ERROR {0} is not a valid number\".format(*sys.argv))\n print(\" \" + str(error))\n sys.exit(2)\n\n # Function (f) and its derivative (dx)\n def f(x):\n return (x ** 2) - 1\n\n def df(x):\n return 2 * x\n\n try:\n solution_newton = newtons_method(f, df, initial_guess)\n fx_newton = f(solution_newton)\n\n print(\"x = {:.4f} | f(x) = {:.4f}\".format(solution_newton, fx_newton))\n\n except ZeroDivisionError as error:\n print(str(error))\n\n\nif __name__ == \"__main__\":\n main()\n\n\n\n\n\n"}],"string":"[\n {\n \"alpha_fraction\": 0.5218855142593384,\n \"alphanum_fraction\": 0.5412458181381226,\n \"avg_line_length\": 18.393442153930664,\n \"blob_id\": \"19293bd2a7deaabd65409900dc3a5c2ec7159123\",\n \"content_id\": \"be30b54a297e5221a3ec5b7b15cd00363a3dbfac\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1188,\n \"license_type\": \"no_license\",\n \"max_line_length\": 78,\n \"num_lines\": 61,\n \"path\": \"/newtons_method.py\",\n \"repo_name\": \"kiradegraw/testRemoteRepo\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#! /usr/bin/env python3\\n\\nimport sys\\n\\nfrom typing import (Callable)\\nimport typing\\nfrom fractions import (Fraction)\\n\\n\\nEPSILON = 10e-6\\nMAX_ITERATIONS = 100\\n\\ndef newtons_method(f, df, x_n, eps=EPSILON):\\n\\n n = 0\\n\\n next_x_n = x_n + 1000 * eps\\n while abs(x_n - next_x_n) > eps:\\n x_n = next_x_n\\n next_x_n = x_n - (f(x_n) / df(x_n))\\n\\n if n >= MAX_ITERATIONS:\\n break\\n\\n n += 1\\n\\n return x_n\\n\\n\\ndef main():\\n try:\\n initial_guess = float(sys.argv[1])\\n\\n except IndexError as error:\\n print(\\\"Usage: {0} initial_guess\\\".format(*sys.argv))\\n sys.exit(1)\\n\\n except ValueError as error:\\n print(\\\"ERROR {0} is not a valid number\\\".format(*sys.argv))\\n print(\\\" \\\" + str(error))\\n sys.exit(2)\\n\\n # Function (f) and its derivative (dx)\\n def f(x):\\n return (x ** 2) - 1\\n\\n def df(x):\\n return 2 * x\\n\\n try:\\n solution_newton = newtons_method(f, df, initial_guess)\\n fx_newton = f(solution_newton)\\n\\n print(\\\"x = {:.4f} | f(x) = {:.4f}\\\".format(solution_newton, fx_newton))\\n\\n except ZeroDivisionError as error:\\n print(str(error))\\n\\n\\nif __name__ == \\\"__main__\\\":\\n main()\\n\\n\\n\\n\\n\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":1,"string":"1"}}},{"rowIdx":2980077,"cells":{"repo_name":{"kind":"string","value":"CaViJun/pregnancy"},"repo_url":{"kind":"string","value":"https://github.com/CaViJun/pregnancy"},"snapshot_id":{"kind":"string","value":"051b45973528edcc9275114152d61244333f647d"},"revision_id":{"kind":"string","value":"72a872093c585cb0495a583d31638d4b0a068dcf"},"directory_id":{"kind":"string","value":"6202827680c46e2f7561b2cebb8b414b6433b541"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2020-05-16T23:41:24.728922","string":"2020-05-16T23:41:24.728922"},"revision_date":{"kind":"timestamp","value":"2015-04-15T04:57:05","string":"2015-04-15T04:57:05"},"committer_date":{"kind":"timestamp","value":"2015-04-15T04:57:05","string":"2015-04-15T04:57:05"},"github_id":{"kind":"number","value":28946347,"string":"28,946,347"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.7903929948806763,"alphanum_fraction":0.7903929948806763,"avg_line_length":75,"blob_id":"e6581b50f6babf5ac9fae737dd8da528280d0128","content_id":"9b726f1c3f61c1f3ac32c3a51315a527d9d4d781","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":229,"license_type":"no_license","max_line_length":137,"num_lines":3,"path":"/README.md","repo_name":"CaViJun/pregnancy","src_encoding":"UTF-8","text":"# pregnancy\nA little web app to show the pregnancy procedure. Set the date pregnant,then it compute the birthday,also show how many days,weeks passed\nand left. In fact it appears in two ways:Python web app, Python command line. \n"},{"alpha_fraction":0.5689922571182251,"alphanum_fraction":0.5937984585762024,"avg_line_length":22.88888931274414,"blob_id":"a098c5085548e76e7954fd05fe6a0a353fa4931d","content_id":"6b1415da564839f63be851183e2cad6f21009d22","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":645,"license_type":"no_license","max_line_length":148,"num_lines":27,"path":"/wsgi.py","repo_name":"CaViJun/pregnancy","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\nfrom bottle import static_file\n\ndef application(environ,start_response):\n if environ['PATH_INFO'] == '/favicon.ico':\n return static_file('favicon.ico',root='./')\n \n data = '''\n<head>\n<style>\nbody{\nmargin: 0px;\n}\n</style>\n</head>\n<body>\n<iframe border=\"0\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" width=\"100%\" height=\"100%\" src=\"http://man.jcloud.com/appengine/jae/hello.html\">\n</iframe>\n</body>\n</html>\n'''\n start_response(\"200 OK\",[\n (\"Content-Type\",\"text/html;charset=utf-8\"),\n (\"Content-Length\",str(len(data)))\n ])\n return iter([data])\n#improvement\n"}],"string":"[\n {\n \"alpha_fraction\": 0.7903929948806763,\n \"alphanum_fraction\": 0.7903929948806763,\n \"avg_line_length\": 75,\n \"blob_id\": \"e6581b50f6babf5ac9fae737dd8da528280d0128\",\n \"content_id\": \"9b726f1c3f61c1f3ac32c3a51315a527d9d4d781\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 229,\n \"license_type\": \"no_license\",\n \"max_line_length\": 137,\n \"num_lines\": 3,\n \"path\": \"/README.md\",\n \"repo_name\": \"CaViJun/pregnancy\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# pregnancy\\nA little web app to show the pregnancy procedure. Set the date pregnant,then it compute the birthday,also show how many days,weeks passed\\nand left. In fact it appears in two ways:Python web app, Python command line. \\n\"\n },\n {\n \"alpha_fraction\": 0.5689922571182251,\n \"alphanum_fraction\": 0.5937984585762024,\n \"avg_line_length\": 22.88888931274414,\n \"blob_id\": \"a098c5085548e76e7954fd05fe6a0a353fa4931d\",\n \"content_id\": \"6b1415da564839f63be851183e2cad6f21009d22\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 645,\n \"license_type\": \"no_license\",\n \"max_line_length\": 148,\n \"num_lines\": 27,\n \"path\": \"/wsgi.py\",\n \"repo_name\": \"CaViJun/pregnancy\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nfrom bottle import static_file\\n\\ndef application(environ,start_response):\\n if environ['PATH_INFO'] == '/favicon.ico':\\n return static_file('favicon.ico',root='./')\\n \\n data = '''\\n<head>\\n<style>\\nbody{\\nmargin: 0px;\\n}\\n</style>\\n</head>\\n<body>\\n<iframe border=\\\"0\\\" frameborder=\\\"0\\\" marginwidth=\\\"0\\\" marginheight=\\\"0\\\" width=\\\"100%\\\" height=\\\"100%\\\" src=\\\"http://man.jcloud.com/appengine/jae/hello.html\\\">\\n</iframe>\\n</body>\\n</html>\\n'''\\n start_response(\\\"200 OK\\\",[\\n (\\\"Content-Type\\\",\\\"text/html;charset=utf-8\\\"),\\n (\\\"Content-Length\\\",str(len(data)))\\n ])\\n return iter([data])\\n#improvement\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":2,"string":"2"}}},{"rowIdx":2980078,"cells":{"repo_name":{"kind":"string","value":"akshatha206/selenium"},"repo_url":{"kind":"string","value":"https://github.com/akshatha206/selenium"},"snapshot_id":{"kind":"string","value":"d51eb585f4b0b15f60b970c505c1d1413b7cdda1"},"revision_id":{"kind":"string","value":"bdc58fac984bda5587eaf987f18547ec5bc62abd"},"directory_id":{"kind":"string","value":"3758a465fe74308fdff77be545573b2e434bc69c"},"branch_name":{"kind":"string","value":"refs/heads/main"},"visit_date":{"kind":"timestamp","value":"2023-04-21T07:33:43.777647","string":"2023-04-21T07:33:43.777647"},"revision_date":{"kind":"timestamp","value":"2021-05-16T15:43:16","string":"2021-05-16T15:43:16"},"committer_date":{"kind":"timestamp","value":"2021-05-16T15:43:16","string":"2021-05-16T15:43:16"},"github_id":{"kind":"number","value":367869419,"string":"367,869,419"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.7281947135925293,"alphanum_fraction":0.7281947135925293,"avg_line_length":23.649999618530273,"blob_id":"e04cd97aa8634c4bfd29c9c6c1b3d35f874fbc13","content_id":"d9f58a15c3e056cd215491b8fcbb21f93fc4d0f0","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":986,"license_type":"no_license","max_line_length":58,"num_lines":40,"path":"/selenium.py","repo_name":"akshatha206/selenium","src_encoding":"UTF-8","text":"import selenium\nimport unittest\nfrom selenium import webdriver\nfrom selenium.webdriver.common.keys import Keys\n\n# inherit TestCase Class and create a new test class\nclass PythonOrgSearch(unittest.TestCase):\n\n\t# initialization of webdriver\n\tdef setUp(self):\n\t\tself.driver = webdriver.Firefox()\n\n\t# Test case method. It should always start with test_\n\tdef test_search_in_python_org(self):\n\t\t\n\t\t# get driver\n\t\tdriver = self.driver\n\t\t# get python.org using selenium\n\t\tdriver.get(\"https://www.google.com/\")\n\n\t\t# assertion to confirm if title has python keyword in it\n\t\tself.assertIn(\"google\", driver.title)\n\n\t\t# locate element using name\n\t\telem = driver.find_element_by_name(\"q\")\n\n\t\t# send data\n\t\telem.send_keys(\"hello world\")\n\n\t\t# recieve data\n\t\telem.send_keys(Keys.RETURN)\n\t\tassert \"No results found.\" not in driver.page_source\n\n\t# cleanup method called after every test performed\n\tdef tearDown(self):\n\t\tself.driver.close()\n\n# execute the script\nif __name__ == \"__main__\":\n\tunittest.main()\n"},{"alpha_fraction":0.6643564105033875,"alphanum_fraction":0.6683168411254883,"avg_line_length":41.04166793823242,"blob_id":"8dc3d445059e4751b888ebc6b1bace5fb9e24e33","content_id":"d1f98057a44a38ebafcb694fba13ff238e9429cd","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1010,"license_type":"no_license","max_line_length":118,"num_lines":24,"path":"/googlesearch.py","repo_name":"akshatha206/selenium","src_encoding":"UTF-8","text":"import unittest\nfrom selenium import webdriver\nfrom selenium.webdriver.common.keys import Keys\nclass GoogleSearch(unittest.TestCase):\n @classmethod\n def setUp(self):\n self.driver = webdriver.Chrome(executable_path=r'C:\\Users\\user\\Downloads\\chromedriver_win32\\chromedriver.exe')\n self.driver.implicitly_wait(10)\n self.driver.maximize_window()\n def test_search_google(self):\n self.driver.get(\"http://google.com\")\n self.driver.find_element_by_name(\"q\").send_keys(\"Automation step by step\")\n self.driver.find_element_by_name(\"btnK\").click()\n def test_search_me(self):\n self.driver.get(\"http://google.com\")\n self.driver.find_element_by_name(\"q\").send_keys(\"Akshatha Shivanna instagram\")\n self.driver.find_element_by_name(\"btnK\").click()\n @classmethod\n def tearDown(self):\n self.driver.close()\n self.driver.quit()\n print(\"test completed\")\nif __name__ == \"__main__\":\n\tunittest.main(argv=['first-arg-is-ignored'], exit=False) \n"}],"string":"[\n {\n \"alpha_fraction\": 0.7281947135925293,\n \"alphanum_fraction\": 0.7281947135925293,\n \"avg_line_length\": 23.649999618530273,\n \"blob_id\": \"e04cd97aa8634c4bfd29c9c6c1b3d35f874fbc13\",\n \"content_id\": \"d9f58a15c3e056cd215491b8fcbb21f93fc4d0f0\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 986,\n \"license_type\": \"no_license\",\n \"max_line_length\": 58,\n \"num_lines\": 40,\n \"path\": \"/selenium.py\",\n \"repo_name\": \"akshatha206/selenium\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import selenium\\nimport unittest\\nfrom selenium import webdriver\\nfrom selenium.webdriver.common.keys import Keys\\n\\n# inherit TestCase Class and create a new test class\\nclass PythonOrgSearch(unittest.TestCase):\\n\\n\\t# initialization of webdriver\\n\\tdef setUp(self):\\n\\t\\tself.driver = webdriver.Firefox()\\n\\n\\t# Test case method. It should always start with test_\\n\\tdef test_search_in_python_org(self):\\n\\t\\t\\n\\t\\t# get driver\\n\\t\\tdriver = self.driver\\n\\t\\t# get python.org using selenium\\n\\t\\tdriver.get(\\\"https://www.google.com/\\\")\\n\\n\\t\\t# assertion to confirm if title has python keyword in it\\n\\t\\tself.assertIn(\\\"google\\\", driver.title)\\n\\n\\t\\t# locate element using name\\n\\t\\telem = driver.find_element_by_name(\\\"q\\\")\\n\\n\\t\\t# send data\\n\\t\\telem.send_keys(\\\"hello world\\\")\\n\\n\\t\\t# recieve data\\n\\t\\telem.send_keys(Keys.RETURN)\\n\\t\\tassert \\\"No results found.\\\" not in driver.page_source\\n\\n\\t# cleanup method called after every test performed\\n\\tdef tearDown(self):\\n\\t\\tself.driver.close()\\n\\n# execute the script\\nif __name__ == \\\"__main__\\\":\\n\\tunittest.main()\\n\"\n },\n {\n \"alpha_fraction\": 0.6643564105033875,\n \"alphanum_fraction\": 0.6683168411254883,\n \"avg_line_length\": 41.04166793823242,\n \"blob_id\": \"8dc3d445059e4751b888ebc6b1bace5fb9e24e33\",\n \"content_id\": \"d1f98057a44a38ebafcb694fba13ff238e9429cd\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1010,\n \"license_type\": \"no_license\",\n \"max_line_length\": 118,\n \"num_lines\": 24,\n \"path\": \"/googlesearch.py\",\n \"repo_name\": \"akshatha206/selenium\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import unittest\\nfrom selenium import webdriver\\nfrom selenium.webdriver.common.keys import Keys\\nclass GoogleSearch(unittest.TestCase):\\n @classmethod\\n def setUp(self):\\n self.driver = webdriver.Chrome(executable_path=r'C:\\\\Users\\\\user\\\\Downloads\\\\chromedriver_win32\\\\chromedriver.exe')\\n self.driver.implicitly_wait(10)\\n self.driver.maximize_window()\\n def test_search_google(self):\\n self.driver.get(\\\"http://google.com\\\")\\n self.driver.find_element_by_name(\\\"q\\\").send_keys(\\\"Automation step by step\\\")\\n self.driver.find_element_by_name(\\\"btnK\\\").click()\\n def test_search_me(self):\\n self.driver.get(\\\"http://google.com\\\")\\n self.driver.find_element_by_name(\\\"q\\\").send_keys(\\\"Akshatha Shivanna instagram\\\")\\n self.driver.find_element_by_name(\\\"btnK\\\").click()\\n @classmethod\\n def tearDown(self):\\n self.driver.close()\\n self.driver.quit()\\n print(\\\"test completed\\\")\\nif __name__ == \\\"__main__\\\":\\n\\tunittest.main(argv=['first-arg-is-ignored'], exit=False) \\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":2,"string":"2"}}},{"rowIdx":2980079,"cells":{"repo_name":{"kind":"string","value":"Kevin163/python_samples"},"repo_url":{"kind":"string","value":"https://github.com/Kevin163/python_samples"},"snapshot_id":{"kind":"string","value":"410975efb28ee59e973c71b6aeeffb3340f5176f"},"revision_id":{"kind":"string","value":"555c9b72c501ceca72054d1e272219c9f769243a"},"directory_id":{"kind":"string","value":"0560da2b7f2b7cdaa8a4414e17da56ebdd9583ac"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2021-05-08T09:23:00.231286","string":"2021-05-08T09:23:00.231286"},"revision_date":{"kind":"timestamp","value":"2017-10-16T11:42:13","string":"2017-10-16T11:42:13"},"committer_date":{"kind":"timestamp","value":"2017-10-16T11:42:13","string":"2017-10-16T11:42:13"},"github_id":{"kind":"number","value":107119404,"string":"107,119,404"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.585300087928772,"alphanum_fraction":0.6109238266944885,"avg_line_length":19.83823585510254,"blob_id":"c0831d5e4393f86c8fd0848704a405d74cc58dbc","content_id":"fb93f41790ba76924744d120b07c7070bab1051d","detected_licenses":["Apache-2.0"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1739,"license_type":"permissive","max_line_length":48,"num_lines":68,"path":"/batchChangeFileLine.py","repo_name":"Kevin163/python_samples","src_encoding":"UTF-8","text":"# batchChangeFileLine.py\r\n# Created:2017-10-13 17:28:40\r\n\r\n'''\r\n批量修改指定目录文件的换行符\r\n调用示例：\r\n将d:\\temp目录下的所有文件的换行符由\\n替换为\\r\\n\r\npy batchChangeFileLine d:\\temp\r\n将d:\\temp目录下的所有文件的换行符由\\r\\n替换为\\n\r\npy batchChangeFileLine d:\\temp 1\r\n'''\r\n\r\n__author__ = \"Kevin\"\r\n__version__ = \"1.0\"\r\n\r\nimport os\r\nimport sys\r\n\r\ndef batchChangeFileLine(workDir,win2unix=False):\r\n\tfiles = os.listdir(workDir)\r\n\toldStr = b\"\\r\"\r\n\tnewStr = b\"\"\r\n\tif not win2unix:\r\n\t\toldStr = b\"\\n\"\r\n\t\tnewStr = b\"\\r\\n\"\r\n\tdata = b''\r\n\tfor f in files:\t\t\r\n\t\tfold = os.path.join(workDir,f)\r\n\t\tfnew = os.path.join(workDir,\"$\"+f)\r\n\t\tif os.path.isfile(fold):\r\n\t\t\ttry:\r\n\t\t\t\tprint(\"开始处理文件:{0}\".format(fold))\r\n\t\t\t\twith open(fold,'rb+') as fr:\r\n\t\t\t\t\twith open(fnew,'ba+') as fw:\r\n\t\t\t\t\t\twhile(True):\r\n\t\t\t\t\t\t\tdata = fr.read(200)\r\n\t\t\t\t\t\t\tnewData = data.replace(oldStr,newStr)\r\n\t\t\t\t\t\t\tfw.write(newData)\r\n\t\t\t\t\t\t\tif len(data) < 200:\r\n\t\t\t\t\t\t\t\tbreak\r\n\t\t\t\tos.remove(fold)\r\n\t\t\t\tos.rename(fnew,fold)\r\n\t\t\t\tprint(\"结束处理文件:{0}\".format(fold))\r\n\t\t\texcept IOError as e:\r\n\t\t\t\tprint(\"处理文件{0}失败，原因：{1}\".format(fold,e))\r\n\r\ndef main():\r\n\tworkDir = \"\"\r\n\twin2unix = False\r\n\targLen = len(sys.argv)\r\n\tif(argLen > 1):\r\n\t\tworkDir = sys.argv[1]\r\n\tif(argLen > 2):\r\n\t\twin2unix = int(sys.argv[2]) == 1\r\n\tif(workDir != \"\"): \r\n\t\tbatchChangeFileLine(workDir,win2unix)\r\n\telse:\r\n\t\tprint(r'''\r\n批量修改指定目录文件的换行符\r\n调用示例：\r\n将d:\\temp目录下的所有文件的换行符由\\n替换为\\r\\n\r\npy batchChangeFileLine d:\\temp\r\n将d:\\temp目录下的所有文件的换行符由\\r\\n替换为\\n\r\npy batchChangeFileLine d:\\temp 1\r\n''')\r\n\r\nif __name__ == '__main__':\r\n\tmain()"},{"alpha_fraction":0.8780487775802612,"alphanum_fraction":0.8780487775802612,"avg_line_length":19.5,"blob_id":"c6fe8477e71a4e4e82ea7d91c31bbdc6a19cc389","content_id":"97ff5377eb76cbc9686b6a97b80c2d54a606cbc1","detected_licenses":["Apache-2.0"],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":75,"license_type":"permissive","max_line_length":23,"num_lines":2,"path":"/README.md","repo_name":"Kevin163/python_samples","src_encoding":"UTF-8","text":"# python_samples\n学习python过程中的示例代码和常用工具代码\n"}],"string":"[\n {\n \"alpha_fraction\": 0.585300087928772,\n \"alphanum_fraction\": 0.6109238266944885,\n \"avg_line_length\": 19.83823585510254,\n \"blob_id\": \"c0831d5e4393f86c8fd0848704a405d74cc58dbc\",\n \"content_id\": \"fb93f41790ba76924744d120b07c7070bab1051d\",\n \"detected_licenses\": [\n \"Apache-2.0\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1739,\n \"license_type\": \"permissive\",\n \"max_line_length\": 48,\n \"num_lines\": 68,\n \"path\": \"/batchChangeFileLine.py\",\n \"repo_name\": \"Kevin163/python_samples\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# batchChangeFileLine.py\\r\\n# Created:2017-10-13 17:28:40\\r\\n\\r\\n'''\\r\\n批量修改指定目录文件的换行符\\r\\n调用示例：\\r\\n将d:\\\\temp目录下的所有文件的换行符由\\\\n替换为\\\\r\\\\n\\r\\npy batchChangeFileLine d:\\\\temp\\r\\n将d:\\\\temp目录下的所有文件的换行符由\\\\r\\\\n替换为\\\\n\\r\\npy batchChangeFileLine d:\\\\temp 1\\r\\n'''\\r\\n\\r\\n__author__ = \\\"Kevin\\\"\\r\\n__version__ = \\\"1.0\\\"\\r\\n\\r\\nimport os\\r\\nimport sys\\r\\n\\r\\ndef batchChangeFileLine(workDir,win2unix=False):\\r\\n\\tfiles = os.listdir(workDir)\\r\\n\\toldStr = b\\\"\\\\r\\\"\\r\\n\\tnewStr = b\\\"\\\"\\r\\n\\tif not win2unix:\\r\\n\\t\\toldStr = b\\\"\\\\n\\\"\\r\\n\\t\\tnewStr = b\\\"\\\\r\\\\n\\\"\\r\\n\\tdata = b''\\r\\n\\tfor f in files:\\t\\t\\r\\n\\t\\tfold = os.path.join(workDir,f)\\r\\n\\t\\tfnew = os.path.join(workDir,\\\"$\\\"+f)\\r\\n\\t\\tif os.path.isfile(fold):\\r\\n\\t\\t\\ttry:\\r\\n\\t\\t\\t\\tprint(\\\"开始处理文件:{0}\\\".format(fold))\\r\\n\\t\\t\\t\\twith open(fold,'rb+') as fr:\\r\\n\\t\\t\\t\\t\\twith open(fnew,'ba+') as fw:\\r\\n\\t\\t\\t\\t\\t\\twhile(True):\\r\\n\\t\\t\\t\\t\\t\\t\\tdata = fr.read(200)\\r\\n\\t\\t\\t\\t\\t\\t\\tnewData = data.replace(oldStr,newStr)\\r\\n\\t\\t\\t\\t\\t\\t\\tfw.write(newData)\\r\\n\\t\\t\\t\\t\\t\\t\\tif len(data) < 200:\\r\\n\\t\\t\\t\\t\\t\\t\\t\\tbreak\\r\\n\\t\\t\\t\\tos.remove(fold)\\r\\n\\t\\t\\t\\tos.rename(fnew,fold)\\r\\n\\t\\t\\t\\tprint(\\\"结束处理文件:{0}\\\".format(fold))\\r\\n\\t\\t\\texcept IOError as e:\\r\\n\\t\\t\\t\\tprint(\\\"处理文件{0}失败，原因：{1}\\\".format(fold,e))\\r\\n\\r\\ndef main():\\r\\n\\tworkDir = \\\"\\\"\\r\\n\\twin2unix = False\\r\\n\\targLen = len(sys.argv)\\r\\n\\tif(argLen > 1):\\r\\n\\t\\tworkDir = sys.argv[1]\\r\\n\\tif(argLen > 2):\\r\\n\\t\\twin2unix = int(sys.argv[2]) == 1\\r\\n\\tif(workDir != \\\"\\\"): \\r\\n\\t\\tbatchChangeFileLine(workDir,win2unix)\\r\\n\\telse:\\r\\n\\t\\tprint(r'''\\r\\n批量修改指定目录文件的换行符\\r\\n调用示例：\\r\\n将d:\\\\temp目录下的所有文件的换行符由\\\\n替换为\\\\r\\\\n\\r\\npy batchChangeFileLine d:\\\\temp\\r\\n将d:\\\\temp目录下的所有文件的换行符由\\\\r\\\\n替换为\\\\n\\r\\npy batchChangeFileLine d:\\\\temp 1\\r\\n''')\\r\\n\\r\\nif __name__ == '__main__':\\r\\n\\tmain()\"\n },\n {\n \"alpha_fraction\": 0.8780487775802612,\n \"alphanum_fraction\": 0.8780487775802612,\n \"avg_line_length\": 19.5,\n \"blob_id\": \"c6fe8477e71a4e4e82ea7d91c31bbdc6a19cc389\",\n \"content_id\": \"97ff5377eb76cbc9686b6a97b80c2d54a606cbc1\",\n \"detected_licenses\": [\n \"Apache-2.0\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 75,\n \"license_type\": \"permissive\",\n \"max_line_length\": 23,\n \"num_lines\": 2,\n \"path\": \"/README.md\",\n \"repo_name\": \"Kevin163/python_samples\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# python_samples\\n学习python过程中的示例代码和常用工具代码\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":2,"string":"2"}}},{"rowIdx":2980080,"cells":{"repo_name":{"kind":"string","value":"JoshuaBragg/SandSimulator"},"repo_url":{"kind":"string","value":"https://github.com/JoshuaBragg/SandSimulator"},"snapshot_id":{"kind":"string","value":"3dfbe83efd5ed51de31a7d4c1622a3f37d0aa5e7"},"revision_id":{"kind":"string","value":"fad13e5c8124d46c5d985487286375ce0f212d52"},"directory_id":{"kind":"string","value":"6191d4c3836ef85a11cc7f7139c52bef99dba4c1"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2021-06-30T03:45:32.807576","string":"2021-06-30T03:45:32.807576"},"revision_date":{"kind":"timestamp","value":"2017-09-18T17:35:47","string":"2017-09-18T17:35:47"},"committer_date":{"kind":"timestamp","value":"2017-09-18T17:35:47","string":"2017-09-18T17:35:47"},"github_id":{"kind":"null"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.5403437614440918,"alphanum_fraction":0.6014155745506287,"avg_line_length":70.69117736816406,"blob_id":"7ed9b39f8ff9eebfe32ed30efdd8b2e80c740b2a","content_id":"700f432f05ef2f7b276f2dd3c802e60439a59f05","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":4945,"license_type":"permissive","max_line_length":353,"num_lines":68,"path":"/SandFullSolidCLComp.py","repo_name":"JoshuaBragg/SandSimulator","src_encoding":"UTF-8","text":"import pygame, random, math\r\nscreen = pygame.display.set_mode((0,0), pygame.FULLSCREEN); pygame.display.set_caption(\"Sand\"); pygame.font.init(); pygame.init();sandl = [];barl = [];clock = pygame.time.Clock();board = [[0]*math.ceil(screen.get_width()/5) for i in range(math.ceil(screen.get_height()/5))];board[math.ceil(screen.get_height()/5)-1] = [1]*math.ceil(screen.get_width()/5)\r\nfor i in range(0,math.ceil(screen.get_height()/5)-1):\r\n\tboard[i][0] = 1;board[i][math.ceil(screen.get_width()/5)-1] = 1\r\nbn = board[:];r = random.randint(10,245);g = random.randint(10,245);b = random.randint(10,245);r1 = 1;g1 = 0;b1 = 1;rg1 = 0;gg1 = 1;bg1 = 0;rg = 250;gg = 250;bc = 250\r\nwhile (True):\r\n\tclock.tick(60);screen.fill((255,255,255))\r\n\tif (pygame.mouse.get_pressed()[0]):\r\n\t\tif (r > 253):r1 = 0\t\r\n\t\tif (r < 2):r1 = 1\r\n\t\tif (r1 == 1):r = r + .15\t\t\t\r\n\t\tif (r1 == 0):r = r - .15\r\n\t\tif (g > 253):g1 = 0\t\t\r\n\t\tif (g < 2):g1 = 1\t\t\r\n\t\tif (g1 == 1):g = g + .1\t\t\r\n\t\tif (g1 == 0):g = g - .1\t\r\n\t\tif (b > 253):b1 = 0\t\t\r\n\t\tif (b < 2):b1 = 1\r\n\t\tif (b1 == 1):b = b + .05\t\t\t\r\n\t\tif (b1 == 0):b = b - .05\r\n\tclass Sand():\r\n\t\tdef __init__(self):\r\n\t\t\tself.colour = (r,g,b);self.velox = 0;self.x = xm;self.y = ym;self.yf = int(self.y)\r\n\t\t\twhile (abs(self.velox) < .5):self.velox = random.randint(-48,48)/80\r\n\t\tdef ID(self,ID):self.ID = ID\r\n\t\tdef Fall(self):\r\n\t\t\tself.x += self.velox\r\n\t\t\tif self.velox > 0:self.velox -= .01\r\n\t\t\tif self.velox < 0 :self.velox += .01\r\n\t\t\tif abs(self.velox) < 0.2:self.velox = 0\r\n\t\t\tself.x = int(round(self.x,0))\r\n\t\t\tif self.yf < (math.ceil(screen.get_height()/5)-1) and 0 < self.x < (math.ceil(screen.get_width()/5)-1):board[self.yf][self.x] = 1\r\n\t\t\tif board[self.yf+1][self.x] != 1:board[self.yf][self.x] = 0;self.y += 1\r\n\t\t\tif board[self.yf+1][self.x] == 1 and board[self.yf+1][self.x+1] != 1 and board[self.yf+1][self.x-1] != 1 and board[self.yf][self.x+1] != 1 and board[self.yf][self.x-1] != 1:\r\n\t\t\t\tboard[self.yf][self.x] = 0;self.d = random.randint(0,1)\r\n\t\t\t\tif self.d == 0:self.x += 1\r\n\t\t\t\telse:self.x -= 1\r\n\t\t\tif board[self.yf+1][self.x] == 1 and board[self.yf+1][self.x+1] != 1 and board[self.yf+1][self.x-1] == 1 and board[self.yf][self.x+1] != 1 and board[self.yf][self.x-1] != 1:board[self.yf][self.x] = 0;self.x += 1\r\n\t\t\tif board[self.yf+1][self.x] == 1 and board[self.yf+1][self.x+1] == 1 and board[self.yf+1][self.x-1] != 1 and board[self.yf][self.x+1] != 1 and board[self.yf][self.x-1] != 1:board[self.yf][self.x] = 0;self.x -= 1\r\n\t\t\tif board[self.yf+1][self.x] == 1 and board[self.yf+1][self.x+1] != 1 and board[self.yf+1][self.x-1] == 1 and board[self.yf][self.x+1] != 1 and board[self.yf][self.x-1] == 1:board[self.yf][self.x] = 0;self.x += 1\r\n\t\t\tif board[self.yf+1][self.x] == 1 and board[self.yf+1][self.x+1] == 1 and board[self.yf+1][self.x-1] != 1 and board[self.yf][self.x+1] == 1 and board[self.yf][self.x-1] != 1:board[self.yf][self.x] = 0;self.x -= 1\r\n\t\t\tif board[self.yf+1][self.x] == 1 and board[self.yf+1][self.x+1] == 1 and board[self.yf+1][self.x-1] == 1:del sandl[sandl.index(self.ID)]\r\n\t\t\tself.yf = int(round(self.y,0));pygame.draw.rect(screen, self.colour, (self.x*5,self.yf*5,5,5),0)\r\n\tclass Barrier():\r\n\t\tdef __init__(self):\r\n\t\t\tself.x = int(xm);self.y = int(ym)\r\n\t\t\ttry:board[self.y][self.x] = 1;board[self.y+1][self.x+1] = 1;board[self.y+1][self.x] = 1;board[self.y+1][self.x-1] = 1;board[self.y][self.x+1] = 1;board[self.y][self.x-1] = 1;board[self.y-1][self.x+1] = 1;board[self.y-1][self.x] = 1;board[self.y-1][self.x-1] = 1\t\r\n\t\t\texcept IndexError:pass\r\n\t\tdef ShowBarrier(self):pygame.draw.rect(screen, (r,g,b), (self.x*5-5,self.y*5-5,15,15),0)\r\n\txa, ya = pygame.mouse.get_pos();xp = xa%5;xm = (xa-xp)/5;yp = ya%5;ym = (ya-yp)/5\r\n\tif pygame.mouse.get_pressed()[2]:bar = Barrier();barl.append(bar)\r\n\tif pygame.mouse.get_pressed()[0]:sand = Sand();sandl.append(sand);sand.ID(sand);sand = Sand();sandl.append(sand);sand.ID(sand)\r\n\tfor i in range(0,len(sandl)):\r\n\t\ttry:sandl[i].Fall()\r\n\t\texcept IndexError:pass\r\n\tfor i in range(0,math.ceil(screen.get_height()/5)):\r\n\t\tfor c in range(0,math.ceil(screen.get_width()/5)):\r\n\t\t\tif bn[i][c] == 1:pygame.draw.rect(screen, (r,g,b), (c*5,i*5,5,5),0)\r\n\tfor i in range(0,len(barl)):\r\n\t\ttry:barl[i].ShowBarrier()\r\n\t\texcept IndexError:pass\r\n\tpygame.draw.rect(screen, (r,g,b), (0,screen.get_height()-5,screen.get_width(),5),0);pygame.draw.rect(screen, (r,g,b), (0,0,5,screen.get_width()),0);pygame.draw.rect(screen, (r,g,b), (screen.get_width()-5,0,5,screen.get_height()),0)\r\n\tpygame.display.flip();event = pygame.event.poll()\r\n\tif pygame.key.get_pressed()[pygame.K_DELETE]:\r\n\t\tboard = [[0]*math.ceil(screen.get_width()/5) for i in range(math.ceil(screen.get_height()/5))];board[math.ceil(screen.get_height()/5)-1] = [1]*math.ceil(screen.get_width()/5)\r\n\t\tfor i in range(0,math.ceil(screen.get_height()/5)-1):board[i][0] = 1;board[i][math.ceil(screen.get_width()/5)-1] = 1\r\n\t\tsandl = [];barl = [];bn = board[:]\r\n\tif pygame.key.get_pressed()[pygame.K_ESCAPE]:break\r\n\r\n"},{"alpha_fraction":0.521774172782898,"alphanum_fraction":0.5895161032676697,"avg_line_length":18.66666603088379,"blob_id":"9472b738b0669a6763af600a38ea36d6f2ff2d6b","content_id":"60c5cd6a00091957740ae0ec3e1d60eb10bf33b0","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1240,"license_type":"permissive","max_line_length":51,"num_lines":60,"path":"/Sandt.py","repo_name":"JoshuaBragg/SandSimulator","src_encoding":"UTF-8","text":"import pygame, random\r\nscreen = pygame.display.set_mode((1000,750))\r\npygame.display.set_caption(\"Sand\")\r\npygame.font.init()\r\npygame.init()\r\n\r\n#Colours\r\nif (True):\r\n\tblack = (0,0,0)\r\n\twhite = (255,255,255)\r\n\tred = (255,0,0)\r\n\tgreen = (0,255,0)\r\n\tdark_green = (30,140,47)\r\n\tblue = (0,0,255)\r\n\tbrown = (83,67,27)\r\n\tyellow = (255,255,0)\r\n\tgray = (150, 150, 150)\r\n\r\nsandl = []\r\nclock = pygame.time.Clock()\r\n\r\nwhile (True):\r\n\tclock.tick(120)\r\n\tscreen.fill(white)\r\n\t\r\n\tclass Sand():\r\n\t\tdef __init__(self):\r\n\t\t\tself.image = pygame.image.load(\"pexplosion.jpg\")\r\n\t\t\tself.rect = self.image.get_rect()\r\n\t\t\tself.velox = 0\r\n\t\t\twhile (self.velox == 0):\r\n\t\t\t\tself.velox = random.randint(-10,10)/10\r\n\t\t\tself.veloy = 0\r\n\t\t\twhile (self.veloy == 0):\r\n\t\t\t\tself.veloy = random.randint(-10,10)/10\r\n\t\t\tself.x = xa\r\n\t\t\tself.y = ya\r\n\t\t\r\n\t\tdef Fall(self):\r\n\t\t\tself.rect.topleft = (self.x,self.y)\r\n\t\t\tself.x += self.velox\r\n\t\t\tself.y += self.veloy\r\n\t\t\tscreen.blit(self.image, self.rect)\r\n\t\t\t\r\n\t\r\n\txa, ya = pygame.mouse.get_pos()\r\n\t\r\n\tif pygame.mouse.get_pressed()[0]:\r\n\t\tsand = Sand()\r\n\t\tsandl.append(sand)\r\n\t\t\r\n\tfor i in range(0,len(sandl)):\r\n\t\tsandl[i].Fall()\r\n\t\r\n\t\r\n\t\r\n\tpygame.display.flip()\r\n\tevent = pygame.event.poll()\r\n\tif (event.type == pygame.QUIT):\r\n\t\tbreak\r\n"},{"alpha_fraction":0.8070175647735596,"alphanum_fraction":0.8070175647735596,"avg_line_length":19.727272033691406,"blob_id":"29153001775e2071d12abaaa994d0ecef8c561b8","content_id":"503c21ea80adce6264e289fffeb6aa14a138c126","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":228,"license_type":"permissive","max_line_length":120,"num_lines":11,"path":"/README.md","repo_name":"JoshuaBragg/SandSimulator","src_encoding":"UTF-8","text":"# SandSimulator\n\nSand Simulation made in Python\n\nUse SandFullScreen.py for newest version or SandBarrier.py for older/slower/not fullscreen but still functioning version\n\nControls:\n\n\tLeft-Click: sand\n\n\tRight-Click: draw barrier\n"},{"alpha_fraction":0.5239999890327454,"alphanum_fraction":0.5784000158309937,"avg_line_length":17.841270446777344,"blob_id":"ade9928f9c9fbe05b1c10d524f8a17499bf723b8","content_id":"b49714a862187bf81521ec60ba57832230b66a51","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1250,"license_type":"permissive","max_line_length":82,"num_lines":63,"path":"/Sanddraw.py","repo_name":"JoshuaBragg/SandSimulator","src_encoding":"UTF-8","text":"import pygame\r\nscreen = pygame.display.set_mode((1000,750))\r\npygame.display.set_caption(\"Sand\")\r\npygame.font.init()\r\npygame.init()\r\n\r\n#Colours\r\nif (True):\r\n\tblack = (0,0,0)\r\n\twhite = (255,255,255)\r\n\tred = (255,0,0)\r\n\tgreen = (0,255,0)\r\n\tdark_green = (30,140,47)\r\n\tblue = (0,0,255)\r\n\tbrown = (83,67,27)\r\n\tyellow = (255,255,0)\r\n\tgray = (150, 150, 150)\r\n\r\nsandl = []\r\nsandloc = []\r\n\r\nwhile (True):\r\n\tscreen.fill(white)\r\n\t\r\n\tclass Sand():\r\n\t\tdef __init__(self):\r\n\t\t\tself.image = pygame.image.load(\"pexplosion.jpg\")\r\n\t\t\tself.x = xa\r\n\t\t\tself.y = ya\r\n\t\t\t\r\n\t\tdef ID(self):\r\n\t\t\tself.loc = sandl.index(sand)\r\n\t\t\r\n\t\tdef Fall(self):\r\n\t\t\tscreen.blit(self.image, (self.x,self.y))\r\n\t\t\ttry:\r\n\t\t\t\tsandloc[self.loc] = (self.x,self.y)\r\n\t\t\texcept IndexError:\r\n\t\t\t\tsandloc.append(\"\")\r\n\t\t\t\tsandloc[self.loc] = (self.x,self.y)\r\n\t\t\tif self.loc != 0:\r\n\t\t\t\ttry:\r\n\t\t\t\t\tpygame.draw.line(screen, black, (sandloc[self.loc]),(sandloc[self.loc-1]), 6)\r\n\t\t\t\texcept IndexError:\r\n\t\t\t\t\tpass\r\n\t\t\t\r\n\t\r\n\txa, ya = pygame.mouse.get_pos()\r\n\t\r\n\tif pygame.mouse.get_pressed()[0]:\r\n\t\tsand = Sand()\r\n\t\tsandl.append(sand)\r\n\t\tsand.ID()\r\n\t\t\r\n\tfor i in range(0,len(sandl)):\r\n\t\tsandl[i].Fall()\r\n\t\r\n\t\r\n\t\r\n\tpygame.display.flip()\r\n\tevent = pygame.event.poll()\r\n\tif (event.type == pygame.QUIT):\r\n\t\tbreak\r\n"},{"alpha_fraction":0.4779771566390991,"alphanum_fraction":0.5481239557266235,"avg_line_length":17.9891300201416,"blob_id":"7236b11c5d8aa72f5d44e470003a13af9f4787fb","content_id":"30f9d3c6344e629afc80a7839ef2f918825e1331","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1839,"license_type":"permissive","max_line_length":68,"num_lines":92,"path":"/SandChrissucks.py","repo_name":"JoshuaBragg/SandSimulator","src_encoding":"UTF-8","text":"import pygame, random, os\r\nscreen = pygame.display.set_mode((150,100))\r\npygame.display.set_caption(\"Sand\")\r\npygame.font.init()\r\npygame.init()\r\n\r\n#Colours\r\nif (True):\r\n\tblack = (0,0,0)\r\n\twhite = (255,255,255)\r\n\tred = (255,0,0)\r\n\tgreen = (0,255,0)\r\n\tdark_green = (30,140,47)\r\n\tblue = (0,0,255)\r\n\tbrown = (83,67,27)\r\n\tyellow = (255,255,0)\r\n\tgray = (150, 150, 150)\r\n\r\nsandl = []\r\nsandr = []\r\nclock = pygame.time.Clock()\r\nboard = [[0]*30 for i in range(20)]\r\nboard[19] = [1]*29\r\nfor i in range(0,19):\r\n\tboard[i][0] = 1\r\n\tboard[i][29] = 1\r\nr = 0\r\ng = 0\r\nb = 0\r\n\r\nwhile (True):\r\n\tclock.tick(10)\r\n\tscreen.fill(white)\r\n\tos.system('cls')\r\n\tfor i in range(0,20):\r\n\t\tprint (board[i])\r\n\t\r\n\tclass Sand():\r\n\t\tdef __init__(self):\r\n\t\t\tself.colour = (r,g,b)\r\n\t\t\tself.velox = 0\r\n\t\t\twhile (abs(self.velox) < .5):\r\n\t\t\t\tself.velox = random.randint(-24,24)/40\r\n\t\t\tself.x = xm\r\n\t\t\tself.y = ym\r\n\t\t\tself.yf = int(self.y)\r\n\t\t\r\n\t\tdef ID(self):\r\n\t\t\tself.loc = sandl.index(sand)\r\n\t\t\r\n\t\tdef Fall(self):\r\n\t\t\tself.x += self.velox\r\n\t\t\tif self.velox > 0:\r\n\t\t\t\tself.velox -= .01\r\n\t\t\tif self.velox < 0 :\r\n\t\t\t\tself.velox += .01\r\n\t\t\tif abs(self.velox) < 0.2:\r\n\t\t\t\tself.velox = 0\r\n\t\t\tself.x = int(round(self.x,0))\r\n\t\t\tif self.yf < 19 and 0 < self.x < 29:\r\n\t\t\t\tboard[self.yf][self.x] = 1\r\n\t\t\tif board[self.yf+1][self.x] != 1:\r\n\t\t\t\tboard[self.yf][self.x] = 0\r\n\t\t\t\tself.y += .8\r\n\t\t\tself.yf = int(round(self.y,0))\r\n\t\t\t\r\n\t\t\tpygame.draw.rect(screen, self.colour, (self.x*5,self.yf*5,5,5),0)\r\n\t\t\t\r\n\t\r\n\txa, ya = pygame.mouse.get_pos()\r\n\t\r\n\txp = xa%5\r\n\txm = (xa-xp)/5\r\n\typ = ya%5\r\n\tym = (ya-yp)/5\r\n\t\r\n\tprint (xm,ym)\r\n\t\r\n\tif pygame.mouse.get_pressed()[0]:\r\n\t\tsand = Sand()\r\n\t\tsandl.append(sand)\r\n\t\tsand.ID()\r\n\t\t\r\n\tsandr2 = sandr\r\n\t\t\r\n\tfor i in range(0,len(sandl)):\r\n\t\tsandl[i].Fall()\t\t\t\t\r\n\t\r\n\tpygame.display.flip()\r\n\tevent = pygame.event.poll()\r\n\tif (event.type == pygame.QUIT):\r\n\t\tbreak\r\n"},{"alpha_fraction":0.453562468290329,"alphanum_fraction":0.5246186256408691,"avg_line_length":23.628713607788086,"blob_id":"9a7b5b1ee1e8babffc69f3c372160cfd4da4f1a8","content_id":"d8e54c2ab12e2054e1b74df9192809de51712abc","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":5179,"license_type":"permissive","max_line_length":176,"num_lines":202,"path":"/SandFull.py","repo_name":"JoshuaBragg/SandSimulator","src_encoding":"UTF-8","text":"import pygame, random, math\r\nscreen = pygame.display.set_mode((0,0), pygame.FULLSCREEN)\r\npygame.display.set_caption(\"Sand\")\r\npygame.font.init()\r\npygame.init()\r\n\r\nif (True):\r\n\tblack = (0,0,0)\r\n\twhite = (255,255,255)\r\n\tred = (255,0,0)\r\n\tgreen = (0,255,0)\r\n\tdark_green = (30,140,47)\r\n\tblue = (0,0,255)\r\n\tbrown = (83,67,27)\r\n\tyellow = (255,255,0)\r\n\tgray = (150, 150, 150)\r\n\r\nsandl = []\r\nbarl = []\r\nclock = pygame.time.Clock()\r\nboard = [[0]*math.ceil(screen.get_width()/5) for i in range(math.ceil(screen.get_height()/5))]\r\nboard[math.ceil(screen.get_height()/5)-1] = [1]*math.ceil(screen.get_width()/5)\r\nfor i in range(0,math.ceil(screen.get_height()/5)-1):\r\n\tboard[i][0] = 1\r\n\tboard[i][math.ceil(screen.get_width()/5)-1] = 1\r\nr = v = random.randint(10,245)\r\ng = n = random.randint(10,245)\r\nb = m = random.randint(10,245)\r\nr1 = 1\r\ng1 = 0\r\nb1 = 1\r\nrg1 = 0\r\ngg1 = 1\r\nbg1 = 0\r\nrg = 250\r\ngg = 250\r\nbc = 250\r\n\r\nwhile (True):\r\n\tclock.tick(60)\r\n\tscreen.fill((rg,gg,bc))\r\n\r\n\tif (True):\r\n\t\tif (rg > 253):\r\n\t\t\trg1 = 0\r\n\t\tif (rg < 240):\r\n\t\t\trg1 = 1\t\r\n\t\tif (rg1 == 1):\r\n\t\t\trg = rg + .05\t\t\t\r\n\t\tif (rg1 == 0):\r\n\t\t\trg = rg - .05\r\n\t\tif (gg > 253):\r\n\t\t\tgg1 = 0\r\n\t\tif (gg < 240):\r\n\t\t\tgg1 = 1\r\n\t\tif (gg1 == 1):\r\n\t\t\tgg = gg + .1\t\r\n\t\tif (gg1 == 0):\r\n\t\t\tgg = gg - .1\t\r\n\t\tif (bc > 253):\r\n\t\t\tbg1 = 0\t\t\r\n\t\tif (bc < 240):\r\n\t\t\tbg1 = 1\t\t\r\n\t\tif (bg1 == 1):\r\n\t\t\tbc = bc + .15\t\r\n\t\tif (bg1 == 0):\r\n\t\t\tbc = bc - .15\r\n\t\r\n\tif (pygame.mouse.get_pressed()[0]):\r\n\t\tif (r > 253):\r\n\t\t\tr1 = 0\t\r\n\t\tif (r < 2):\r\n\t\t\tr1 = 1\t\t\r\n\t\tif (r1 == 1):\r\n\t\t\tr = r + .15\t\t\t\r\n\t\tif (r1 == 0):\r\n\t\t\tr = r - .15\r\n\t\tif (g > 253):\r\n\t\t\tg1 = 0\t\t\r\n\t\tif (g < 2):\r\n\t\t\tg1 = 1\t\t\r\n\t\tif (g1 == 1):\r\n\t\t\tg = g + .1\t\t\r\n\t\tif (g1 == 0):\r\n\t\t\tg = g - .1\t\r\n\t\tif (b > 253):\r\n\t\t\tb1 = 0\t\t\r\n\t\tif (b < 2):\r\n\t\t\tb1 = 1\r\n\t\tif (b1 == 1):\r\n\t\t\tb = b + .05\t\t\t\r\n\t\tif (b1 == 0):\r\n\t\t\tb = b - .05\r\n\t\r\n\tclass Sand():\r\n\t\tdef __init__(self):\r\n\t\t\tself.colour = (r,g,b)\r\n\t\t\tself.velox = 0\r\n\t\t\twhile (abs(self.velox) < .5):\r\n\t\t\t\tself.velox = random.randint(-48,48)/80\r\n\t\t\tself.x = xm\r\n\t\t\tself.y = ym\r\n\t\t\tself.yf = int(self.y)\r\n\t\t\r\n\t\tdef Fall(self):\r\n\t\t\tself.x += self.velox\r\n\t\t\tif self.velox > 0:\r\n\t\t\t\tself.velox -= .01\r\n\t\t\tif self.velox < 0 :\r\n\t\t\t\tself.velox += .01\r\n\t\t\tif abs(self.velox) < 0.2:\r\n\t\t\t\tself.velox = 0\r\n\t\t\tself.x = int(round(self.x,0))\r\n\t\t\tif self.yf < (math.ceil(screen.get_height()/5)-1) and 0 < self.x < (math.ceil(screen.get_width()/5)-1):\r\n\t\t\t\tboard[self.yf][self.x] = 1\r\n\t\t\tif board[self.yf+1][self.x] != 1:\r\n\t\t\t\tboard[self.yf][self.x] = 0\r\n\t\t\t\tself.y += 1\r\n\t\t\t\t\r\n\t\t\tif board[self.yf+1][self.x] == 1 and board[self.yf+1][self.x+1] != 1 and board[self.yf+1][self.x-1] != 1 and board[self.yf][self.x+1] != 1 and board[self.yf][self.x-1] != 1:\r\n\t\t\t\tboard[self.yf][self.x] = 0\r\n\t\t\t\tself.d = random.randint(0,1)\r\n\t\t\t\tif self.d == 0:\r\n\t\t\t\t\tself.x += 1\r\n\t\t\t\telse:\r\n\t\t\t\t\tself.x -= 1\r\n\t\t\t\r\n\t\t\tif board[self.yf+1][self.x] == 1 and board[self.yf+1][self.x+1] != 1 and board[self.yf+1][self.x-1] == 1 and board[self.yf][self.x+1] != 1 and board[self.yf][self.x-1] != 1:\r\n\t\t\t\tboard[self.yf][self.x] = 0\r\n\t\t\t\tself.x += 1\r\n\t\t\t\t\r\n\t\t\tif board[self.yf+1][self.x] == 1 and board[self.yf+1][self.x+1] == 1 and board[self.yf+1][self.x-1] != 1 and board[self.yf][self.x+1] != 1 and board[self.yf][self.x-1] != 1:\r\n\t\t\t\tboard[self.yf][self.x] = 0\r\n\t\t\t\tself.x -= 1\r\n\t\t\t\t\r\n\t\t\tif board[self.yf+1][self.x] == 1 and board[self.yf+1][self.x+1] != 1 and board[self.yf+1][self.x-1] == 1 and board[self.yf][self.x+1] != 1 and board[self.yf][self.x-1] == 1:\r\n\t\t\t\tboard[self.yf][self.x] = 0\r\n\t\t\t\tself.x += 1\r\n\t\t\t\t\r\n\t\t\tif board[self.yf+1][self.x] == 1 and board[self.yf+1][self.x+1] == 1 and board[self.yf+1][self.x-1] != 1 and board[self.yf][self.x+1] == 1 and board[self.yf][self.x-1] != 1:\r\n\t\t\t\tboard[self.yf][self.x] = 0\r\n\t\t\t\tself.x -= 1\r\n\t\t\t\t\r\n\t\t\tself.yf = int(round(self.y,0))\r\n\t\t\t\r\n\t\t\tpygame.draw.rect(screen, self.colour, (self.x*5,self.yf*5,5,5),0)\r\n\t\t\t\r\n\tclass Barrier():\r\n\t\tdef __init__(self):\r\n\t\t\tself.x = int(xm)\r\n\t\t\tself.y = int(ym)\r\n\t\t\t\r\n\t\tdef ShowBarrier(self):\r\n\t\t\tboard[self.y][self.x] = 1\r\n\t\t\tboard[self.y+1][self.x+1] = 1\r\n\t\t\tboard[self.y+1][self.x] = 1\r\n\t\t\tboard[self.y+1][self.x-1] = 1\r\n\t\t\tboard[self.y][self.x+1] = 1\r\n\t\t\tboard[self.y][self.x-1] = 1\r\n\t\t\tboard[self.y-1][self.x+1] = 1\r\n\t\t\tboard[self.y-1][self.x] = 1\r\n\t\t\tboard[self.y-1][self.x-1] = 1\t\t\t\r\n\t\t\tpygame.draw.rect(screen, black, (self.x*5-5,self.y*5-5,15,15),0)\r\n\t\t\t\r\n\t\t\t\r\n\tpygame.draw.rect(screen, (v,n,m), (0,screen.get_height()-5,screen.get_width(),5),0)\r\n\tpygame.draw.rect(screen, (v,n,m), (0,0,5,screen.get_width()),0)\r\n\tpygame.draw.rect(screen, (v,n,m), (screen.get_width()-5,0,5,screen.get_height()),0)\r\n\t\r\n\txa, ya = pygame.mouse.get_pos()\r\n\t\r\n\txp = xa%5\r\n\txm = (xa-xp)/5\r\n\typ = ya%5\r\n\tym = (ya-yp)/5\r\n\t\r\n\tif pygame.mouse.get_pressed()[2]:\r\n\t\tbar = Barrier()\r\n\t\tbarl.append(bar)\r\n\t\r\n\tif pygame.mouse.get_pressed()[0]:\r\n\t\tsand = Sand()\r\n\t\tsandl.append(sand)\r\n\t\tsand = Sand()\r\n\t\tsandl.append(sand)\r\n\t\t\r\n\tfor i in range(0,len(sandl)):\r\n\t\ttry:\r\n\t\t\tsandl[i].Fall()\r\n\t\texcept IndexError:\r\n\t\t\tpass\r\n\t\t\t\r\n\tfor i in range(0,len(barl)):\r\n\t\ttry:\r\n\t\t\tbarl[i].ShowBarrier()\r\n\t\texcept IndexError:\r\n\t\t\tpass\t\t\t\r\n\t\r\n\tpygame.display.flip()\r\n\tevent = pygame.event.poll()\r\n\tif pygame.key.get_pressed()[pygame.K_ESCAPE]:\r\n\t\tbreak\r\n\r\n"}],"string":"[\n {\n \"alpha_fraction\": 0.5403437614440918,\n \"alphanum_fraction\": 0.6014155745506287,\n \"avg_line_length\": 70.69117736816406,\n \"blob_id\": \"7ed9b39f8ff9eebfe32ed30efdd8b2e80c740b2a\",\n \"content_id\": \"700f432f05ef2f7b276f2dd3c802e60439a59f05\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 4945,\n \"license_type\": \"permissive\",\n \"max_line_length\": 353,\n \"num_lines\": 68,\n \"path\": \"/SandFullSolidCLComp.py\",\n \"repo_name\": \"JoshuaBragg/SandSimulator\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import pygame, random, math\\r\\nscreen = pygame.display.set_mode((0,0), pygame.FULLSCREEN); pygame.display.set_caption(\\\"Sand\\\"); pygame.font.init(); pygame.init();sandl = [];barl = [];clock = pygame.time.Clock();board = [[0]*math.ceil(screen.get_width()/5) for i in range(math.ceil(screen.get_height()/5))];board[math.ceil(screen.get_height()/5)-1] = [1]*math.ceil(screen.get_width()/5)\\r\\nfor i in range(0,math.ceil(screen.get_height()/5)-1):\\r\\n\\tboard[i][0] = 1;board[i][math.ceil(screen.get_width()/5)-1] = 1\\r\\nbn = board[:];r = random.randint(10,245);g = random.randint(10,245);b = random.randint(10,245);r1 = 1;g1 = 0;b1 = 1;rg1 = 0;gg1 = 1;bg1 = 0;rg = 250;gg = 250;bc = 250\\r\\nwhile (True):\\r\\n\\tclock.tick(60);screen.fill((255,255,255))\\r\\n\\tif (pygame.mouse.get_pressed()[0]):\\r\\n\\t\\tif (r > 253):r1 = 0\\t\\r\\n\\t\\tif (r < 2):r1 = 1\\r\\n\\t\\tif (r1 == 1):r = r + .15\\t\\t\\t\\r\\n\\t\\tif (r1 == 0):r = r - .15\\r\\n\\t\\tif (g > 253):g1 = 0\\t\\t\\r\\n\\t\\tif (g < 2):g1 = 1\\t\\t\\r\\n\\t\\tif (g1 == 1):g = g + .1\\t\\t\\r\\n\\t\\tif (g1 == 0):g = g - .1\\t\\r\\n\\t\\tif (b > 253):b1 = 0\\t\\t\\r\\n\\t\\tif (b < 2):b1 = 1\\r\\n\\t\\tif (b1 == 1):b = b + .05\\t\\t\\t\\r\\n\\t\\tif (b1 == 0):b = b - .05\\r\\n\\tclass Sand():\\r\\n\\t\\tdef __init__(self):\\r\\n\\t\\t\\tself.colour = (r,g,b);self.velox = 0;self.x = xm;self.y = ym;self.yf = int(self.y)\\r\\n\\t\\t\\twhile (abs(self.velox) < .5):self.velox = random.randint(-48,48)/80\\r\\n\\t\\tdef ID(self,ID):self.ID = ID\\r\\n\\t\\tdef Fall(self):\\r\\n\\t\\t\\tself.x += self.velox\\r\\n\\t\\t\\tif self.velox > 0:self.velox -= .01\\r\\n\\t\\t\\tif self.velox < 0 :self.velox += .01\\r\\n\\t\\t\\tif abs(self.velox) < 0.2:self.velox = 0\\r\\n\\t\\t\\tself.x = int(round(self.x,0))\\r\\n\\t\\t\\tif self.yf < (math.ceil(screen.get_height()/5)-1) and 0 < self.x < (math.ceil(screen.get_width()/5)-1):board[self.yf][self.x] = 1\\r\\n\\t\\t\\tif board[self.yf+1][self.x] != 1:board[self.yf][self.x] = 0;self.y += 1\\r\\n\\t\\t\\tif board[self.yf+1][self.x] == 1 and board[self.yf+1][self.x+1] != 1 and board[self.yf+1][self.x-1] != 1 and board[self.yf][self.x+1] != 1 and board[self.yf][self.x-1] != 1:\\r\\n\\t\\t\\t\\tboard[self.yf][self.x] = 0;self.d = random.randint(0,1)\\r\\n\\t\\t\\t\\tif self.d == 0:self.x += 1\\r\\n\\t\\t\\t\\telse:self.x -= 1\\r\\n\\t\\t\\tif board[self.yf+1][self.x] == 1 and board[self.yf+1][self.x+1] != 1 and board[self.yf+1][self.x-1] == 1 and board[self.yf][self.x+1] != 1 and board[self.yf][self.x-1] != 1:board[self.yf][self.x] = 0;self.x += 1\\r\\n\\t\\t\\tif board[self.yf+1][self.x] == 1 and board[self.yf+1][self.x+1] == 1 and board[self.yf+1][self.x-1] != 1 and board[self.yf][self.x+1] != 1 and board[self.yf][self.x-1] != 1:board[self.yf][self.x] = 0;self.x -= 1\\r\\n\\t\\t\\tif board[self.yf+1][self.x] == 1 and board[self.yf+1][self.x+1] != 1 and board[self.yf+1][self.x-1] == 1 and board[self.yf][self.x+1] != 1 and board[self.yf][self.x-1] == 1:board[self.yf][self.x] = 0;self.x += 1\\r\\n\\t\\t\\tif board[self.yf+1][self.x] == 1 and board[self.yf+1][self.x+1] == 1 and board[self.yf+1][self.x-1] != 1 and board[self.yf][self.x+1] == 1 and board[self.yf][self.x-1] != 1:board[self.yf][self.x] = 0;self.x -= 1\\r\\n\\t\\t\\tif board[self.yf+1][self.x] == 1 and board[self.yf+1][self.x+1] == 1 and board[self.yf+1][self.x-1] == 1:del sandl[sandl.index(self.ID)]\\r\\n\\t\\t\\tself.yf = int(round(self.y,0));pygame.draw.rect(screen, self.colour, (self.x*5,self.yf*5,5,5),0)\\r\\n\\tclass Barrier():\\r\\n\\t\\tdef __init__(self):\\r\\n\\t\\t\\tself.x = int(xm);self.y = int(ym)\\r\\n\\t\\t\\ttry:board[self.y][self.x] = 1;board[self.y+1][self.x+1] = 1;board[self.y+1][self.x] = 1;board[self.y+1][self.x-1] = 1;board[self.y][self.x+1] = 1;board[self.y][self.x-1] = 1;board[self.y-1][self.x+1] = 1;board[self.y-1][self.x] = 1;board[self.y-1][self.x-1] = 1\\t\\r\\n\\t\\t\\texcept IndexError:pass\\r\\n\\t\\tdef ShowBarrier(self):pygame.draw.rect(screen, (r,g,b), (self.x*5-5,self.y*5-5,15,15),0)\\r\\n\\txa, ya = pygame.mouse.get_pos();xp = xa%5;xm = (xa-xp)/5;yp = ya%5;ym = (ya-yp)/5\\r\\n\\tif pygame.mouse.get_pressed()[2]:bar = Barrier();barl.append(bar)\\r\\n\\tif pygame.mouse.get_pressed()[0]:sand = Sand();sandl.append(sand);sand.ID(sand);sand = Sand();sandl.append(sand);sand.ID(sand)\\r\\n\\tfor i in range(0,len(sandl)):\\r\\n\\t\\ttry:sandl[i].Fall()\\r\\n\\t\\texcept IndexError:pass\\r\\n\\tfor i in range(0,math.ceil(screen.get_height()/5)):\\r\\n\\t\\tfor c in range(0,math.ceil(screen.get_width()/5)):\\r\\n\\t\\t\\tif bn[i][c] == 1:pygame.draw.rect(screen, (r,g,b), (c*5,i*5,5,5),0)\\r\\n\\tfor i in range(0,len(barl)):\\r\\n\\t\\ttry:barl[i].ShowBarrier()\\r\\n\\t\\texcept IndexError:pass\\r\\n\\tpygame.draw.rect(screen, (r,g,b), (0,screen.get_height()-5,screen.get_width(),5),0);pygame.draw.rect(screen, (r,g,b), (0,0,5,screen.get_width()),0);pygame.draw.rect(screen, (r,g,b), (screen.get_width()-5,0,5,screen.get_height()),0)\\r\\n\\tpygame.display.flip();event = pygame.event.poll()\\r\\n\\tif pygame.key.get_pressed()[pygame.K_DELETE]:\\r\\n\\t\\tboard = [[0]*math.ceil(screen.get_width()/5) for i in range(math.ceil(screen.get_height()/5))];board[math.ceil(screen.get_height()/5)-1] = [1]*math.ceil(screen.get_width()/5)\\r\\n\\t\\tfor i in range(0,math.ceil(screen.get_height()/5)-1):board[i][0] = 1;board[i][math.ceil(screen.get_width()/5)-1] = 1\\r\\n\\t\\tsandl = [];barl = [];bn = board[:]\\r\\n\\tif pygame.key.get_pressed()[pygame.K_ESCAPE]:break\\r\\n\\r\\n\"\n },\n {\n \"alpha_fraction\": 0.521774172782898,\n \"alphanum_fraction\": 0.5895161032676697,\n \"avg_line_length\": 18.66666603088379,\n \"blob_id\": \"9472b738b0669a6763af600a38ea36d6f2ff2d6b\",\n \"content_id\": \"60c5cd6a00091957740ae0ec3e1d60eb10bf33b0\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1240,\n \"license_type\": \"permissive\",\n \"max_line_length\": 51,\n \"num_lines\": 60,\n \"path\": \"/Sandt.py\",\n \"repo_name\": \"JoshuaBragg/SandSimulator\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import pygame, random\\r\\nscreen = pygame.display.set_mode((1000,750))\\r\\npygame.display.set_caption(\\\"Sand\\\")\\r\\npygame.font.init()\\r\\npygame.init()\\r\\n\\r\\n#Colours\\r\\nif (True):\\r\\n\\tblack = (0,0,0)\\r\\n\\twhite = (255,255,255)\\r\\n\\tred = (255,0,0)\\r\\n\\tgreen = (0,255,0)\\r\\n\\tdark_green = (30,140,47)\\r\\n\\tblue = (0,0,255)\\r\\n\\tbrown = (83,67,27)\\r\\n\\tyellow = (255,255,0)\\r\\n\\tgray = (150, 150, 150)\\r\\n\\r\\nsandl = []\\r\\nclock = pygame.time.Clock()\\r\\n\\r\\nwhile (True):\\r\\n\\tclock.tick(120)\\r\\n\\tscreen.fill(white)\\r\\n\\t\\r\\n\\tclass Sand():\\r\\n\\t\\tdef __init__(self):\\r\\n\\t\\t\\tself.image = pygame.image.load(\\\"pexplosion.jpg\\\")\\r\\n\\t\\t\\tself.rect = self.image.get_rect()\\r\\n\\t\\t\\tself.velox = 0\\r\\n\\t\\t\\twhile (self.velox == 0):\\r\\n\\t\\t\\t\\tself.velox = random.randint(-10,10)/10\\r\\n\\t\\t\\tself.veloy = 0\\r\\n\\t\\t\\twhile (self.veloy == 0):\\r\\n\\t\\t\\t\\tself.veloy = random.randint(-10,10)/10\\r\\n\\t\\t\\tself.x = xa\\r\\n\\t\\t\\tself.y = ya\\r\\n\\t\\t\\r\\n\\t\\tdef Fall(self):\\r\\n\\t\\t\\tself.rect.topleft = (self.x,self.y)\\r\\n\\t\\t\\tself.x += self.velox\\r\\n\\t\\t\\tself.y += self.veloy\\r\\n\\t\\t\\tscreen.blit(self.image, self.rect)\\r\\n\\t\\t\\t\\r\\n\\t\\r\\n\\txa, ya = pygame.mouse.get_pos()\\r\\n\\t\\r\\n\\tif pygame.mouse.get_pressed()[0]:\\r\\n\\t\\tsand = Sand()\\r\\n\\t\\tsandl.append(sand)\\r\\n\\t\\t\\r\\n\\tfor i in range(0,len(sandl)):\\r\\n\\t\\tsandl[i].Fall()\\r\\n\\t\\r\\n\\t\\r\\n\\t\\r\\n\\tpygame.display.flip()\\r\\n\\tevent = pygame.event.poll()\\r\\n\\tif (event.type == pygame.QUIT):\\r\\n\\t\\tbreak\\r\\n\"\n },\n {\n \"alpha_fraction\": 0.8070175647735596,\n \"alphanum_fraction\": 0.8070175647735596,\n \"avg_line_length\": 19.727272033691406,\n \"blob_id\": \"29153001775e2071d12abaaa994d0ecef8c561b8\",\n \"content_id\": \"503c21ea80adce6264e289fffeb6aa14a138c126\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 228,\n \"license_type\": \"permissive\",\n \"max_line_length\": 120,\n \"num_lines\": 11,\n \"path\": \"/README.md\",\n \"repo_name\": \"JoshuaBragg/SandSimulator\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# SandSimulator\\n\\nSand Simulation made in Python\\n\\nUse SandFullScreen.py for newest version or SandBarrier.py for older/slower/not fullscreen but still functioning version\\n\\nControls:\\n\\n\\tLeft-Click: sand\\n\\n\\tRight-Click: draw barrier\\n\"\n },\n {\n \"alpha_fraction\": 0.5239999890327454,\n \"alphanum_fraction\": 0.5784000158309937,\n \"avg_line_length\": 17.841270446777344,\n \"blob_id\": \"ade9928f9c9fbe05b1c10d524f8a17499bf723b8\",\n \"content_id\": \"b49714a862187bf81521ec60ba57832230b66a51\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1250,\n \"license_type\": \"permissive\",\n \"max_line_length\": 82,\n \"num_lines\": 63,\n \"path\": \"/Sanddraw.py\",\n \"repo_name\": \"JoshuaBragg/SandSimulator\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import pygame\\r\\nscreen = pygame.display.set_mode((1000,750))\\r\\npygame.display.set_caption(\\\"Sand\\\")\\r\\npygame.font.init()\\r\\npygame.init()\\r\\n\\r\\n#Colours\\r\\nif (True):\\r\\n\\tblack = (0,0,0)\\r\\n\\twhite = (255,255,255)\\r\\n\\tred = (255,0,0)\\r\\n\\tgreen = (0,255,0)\\r\\n\\tdark_green = (30,140,47)\\r\\n\\tblue = (0,0,255)\\r\\n\\tbrown = (83,67,27)\\r\\n\\tyellow = (255,255,0)\\r\\n\\tgray = (150, 150, 150)\\r\\n\\r\\nsandl = []\\r\\nsandloc = []\\r\\n\\r\\nwhile (True):\\r\\n\\tscreen.fill(white)\\r\\n\\t\\r\\n\\tclass Sand():\\r\\n\\t\\tdef __init__(self):\\r\\n\\t\\t\\tself.image = pygame.image.load(\\\"pexplosion.jpg\\\")\\r\\n\\t\\t\\tself.x = xa\\r\\n\\t\\t\\tself.y = ya\\r\\n\\t\\t\\t\\r\\n\\t\\tdef ID(self):\\r\\n\\t\\t\\tself.loc = sandl.index(sand)\\r\\n\\t\\t\\r\\n\\t\\tdef Fall(self):\\r\\n\\t\\t\\tscreen.blit(self.image, (self.x,self.y))\\r\\n\\t\\t\\ttry:\\r\\n\\t\\t\\t\\tsandloc[self.loc] = (self.x,self.y)\\r\\n\\t\\t\\texcept IndexError:\\r\\n\\t\\t\\t\\tsandloc.append(\\\"\\\")\\r\\n\\t\\t\\t\\tsandloc[self.loc] = (self.x,self.y)\\r\\n\\t\\t\\tif self.loc != 0:\\r\\n\\t\\t\\t\\ttry:\\r\\n\\t\\t\\t\\t\\tpygame.draw.line(screen, black, (sandloc[self.loc]),(sandloc[self.loc-1]), 6)\\r\\n\\t\\t\\t\\texcept IndexError:\\r\\n\\t\\t\\t\\t\\tpass\\r\\n\\t\\t\\t\\r\\n\\t\\r\\n\\txa, ya = pygame.mouse.get_pos()\\r\\n\\t\\r\\n\\tif pygame.mouse.get_pressed()[0]:\\r\\n\\t\\tsand = Sand()\\r\\n\\t\\tsandl.append(sand)\\r\\n\\t\\tsand.ID()\\r\\n\\t\\t\\r\\n\\tfor i in range(0,len(sandl)):\\r\\n\\t\\tsandl[i].Fall()\\r\\n\\t\\r\\n\\t\\r\\n\\t\\r\\n\\tpygame.display.flip()\\r\\n\\tevent = pygame.event.poll()\\r\\n\\tif (event.type == pygame.QUIT):\\r\\n\\t\\tbreak\\r\\n\"\n },\n {\n \"alpha_fraction\": 0.4779771566390991,\n \"alphanum_fraction\": 0.5481239557266235,\n \"avg_line_length\": 17.9891300201416,\n \"blob_id\": \"7236b11c5d8aa72f5d44e470003a13af9f4787fb\",\n \"content_id\": \"30f9d3c6344e629afc80a7839ef2f918825e1331\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1839,\n \"license_type\": \"permissive\",\n \"max_line_length\": 68,\n \"num_lines\": 92,\n \"path\": \"/SandChrissucks.py\",\n \"repo_name\": \"JoshuaBragg/SandSimulator\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import pygame, random, os\\r\\nscreen = pygame.display.set_mode((150,100))\\r\\npygame.display.set_caption(\\\"Sand\\\")\\r\\npygame.font.init()\\r\\npygame.init()\\r\\n\\r\\n#Colours\\r\\nif (True):\\r\\n\\tblack = (0,0,0)\\r\\n\\twhite = (255,255,255)\\r\\n\\tred = (255,0,0)\\r\\n\\tgreen = (0,255,0)\\r\\n\\tdark_green = (30,140,47)\\r\\n\\tblue = (0,0,255)\\r\\n\\tbrown = (83,67,27)\\r\\n\\tyellow = (255,255,0)\\r\\n\\tgray = (150, 150, 150)\\r\\n\\r\\nsandl = []\\r\\nsandr = []\\r\\nclock = pygame.time.Clock()\\r\\nboard = [[0]*30 for i in range(20)]\\r\\nboard[19] = [1]*29\\r\\nfor i in range(0,19):\\r\\n\\tboard[i][0] = 1\\r\\n\\tboard[i][29] = 1\\r\\nr = 0\\r\\ng = 0\\r\\nb = 0\\r\\n\\r\\nwhile (True):\\r\\n\\tclock.tick(10)\\r\\n\\tscreen.fill(white)\\r\\n\\tos.system('cls')\\r\\n\\tfor i in range(0,20):\\r\\n\\t\\tprint (board[i])\\r\\n\\t\\r\\n\\tclass Sand():\\r\\n\\t\\tdef __init__(self):\\r\\n\\t\\t\\tself.colour = (r,g,b)\\r\\n\\t\\t\\tself.velox = 0\\r\\n\\t\\t\\twhile (abs(self.velox) < .5):\\r\\n\\t\\t\\t\\tself.velox = random.randint(-24,24)/40\\r\\n\\t\\t\\tself.x = xm\\r\\n\\t\\t\\tself.y = ym\\r\\n\\t\\t\\tself.yf = int(self.y)\\r\\n\\t\\t\\r\\n\\t\\tdef ID(self):\\r\\n\\t\\t\\tself.loc = sandl.index(sand)\\r\\n\\t\\t\\r\\n\\t\\tdef Fall(self):\\r\\n\\t\\t\\tself.x += self.velox\\r\\n\\t\\t\\tif self.velox > 0:\\r\\n\\t\\t\\t\\tself.velox -= .01\\r\\n\\t\\t\\tif self.velox < 0 :\\r\\n\\t\\t\\t\\tself.velox += .01\\r\\n\\t\\t\\tif abs(self.velox) < 0.2:\\r\\n\\t\\t\\t\\tself.velox = 0\\r\\n\\t\\t\\tself.x = int(round(self.x,0))\\r\\n\\t\\t\\tif self.yf < 19 and 0 < self.x < 29:\\r\\n\\t\\t\\t\\tboard[self.yf][self.x] = 1\\r\\n\\t\\t\\tif board[self.yf+1][self.x] != 1:\\r\\n\\t\\t\\t\\tboard[self.yf][self.x] = 0\\r\\n\\t\\t\\t\\tself.y += .8\\r\\n\\t\\t\\tself.yf = int(round(self.y,0))\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tpygame.draw.rect(screen, self.colour, (self.x*5,self.yf*5,5,5),0)\\r\\n\\t\\t\\t\\r\\n\\t\\r\\n\\txa, ya = pygame.mouse.get_pos()\\r\\n\\t\\r\\n\\txp = xa%5\\r\\n\\txm = (xa-xp)/5\\r\\n\\typ = ya%5\\r\\n\\tym = (ya-yp)/5\\r\\n\\t\\r\\n\\tprint (xm,ym)\\r\\n\\t\\r\\n\\tif pygame.mouse.get_pressed()[0]:\\r\\n\\t\\tsand = Sand()\\r\\n\\t\\tsandl.append(sand)\\r\\n\\t\\tsand.ID()\\r\\n\\t\\t\\r\\n\\tsandr2 = sandr\\r\\n\\t\\t\\r\\n\\tfor i in range(0,len(sandl)):\\r\\n\\t\\tsandl[i].Fall()\\t\\t\\t\\t\\r\\n\\t\\r\\n\\tpygame.display.flip()\\r\\n\\tevent = pygame.event.poll()\\r\\n\\tif (event.type == pygame.QUIT):\\r\\n\\t\\tbreak\\r\\n\"\n },\n {\n \"alpha_fraction\": 0.453562468290329,\n \"alphanum_fraction\": 0.5246186256408691,\n \"avg_line_length\": 23.628713607788086,\n \"blob_id\": \"9a7b5b1ee1e8babffc69f3c372160cfd4da4f1a8\",\n \"content_id\": \"d8e54c2ab12e2054e1b74df9192809de51712abc\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 5179,\n \"license_type\": \"permissive\",\n \"max_line_length\": 176,\n \"num_lines\": 202,\n \"path\": \"/SandFull.py\",\n \"repo_name\": \"JoshuaBragg/SandSimulator\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import pygame, random, math\\r\\nscreen = pygame.display.set_mode((0,0), pygame.FULLSCREEN)\\r\\npygame.display.set_caption(\\\"Sand\\\")\\r\\npygame.font.init()\\r\\npygame.init()\\r\\n\\r\\nif (True):\\r\\n\\tblack = (0,0,0)\\r\\n\\twhite = (255,255,255)\\r\\n\\tred = (255,0,0)\\r\\n\\tgreen = (0,255,0)\\r\\n\\tdark_green = (30,140,47)\\r\\n\\tblue = (0,0,255)\\r\\n\\tbrown = (83,67,27)\\r\\n\\tyellow = (255,255,0)\\r\\n\\tgray = (150, 150, 150)\\r\\n\\r\\nsandl = []\\r\\nbarl = []\\r\\nclock = pygame.time.Clock()\\r\\nboard = [[0]*math.ceil(screen.get_width()/5) for i in range(math.ceil(screen.get_height()/5))]\\r\\nboard[math.ceil(screen.get_height()/5)-1] = [1]*math.ceil(screen.get_width()/5)\\r\\nfor i in range(0,math.ceil(screen.get_height()/5)-1):\\r\\n\\tboard[i][0] = 1\\r\\n\\tboard[i][math.ceil(screen.get_width()/5)-1] = 1\\r\\nr = v = random.randint(10,245)\\r\\ng = n = random.randint(10,245)\\r\\nb = m = random.randint(10,245)\\r\\nr1 = 1\\r\\ng1 = 0\\r\\nb1 = 1\\r\\nrg1 = 0\\r\\ngg1 = 1\\r\\nbg1 = 0\\r\\nrg = 250\\r\\ngg = 250\\r\\nbc = 250\\r\\n\\r\\nwhile (True):\\r\\n\\tclock.tick(60)\\r\\n\\tscreen.fill((rg,gg,bc))\\r\\n\\r\\n\\tif (True):\\r\\n\\t\\tif (rg > 253):\\r\\n\\t\\t\\trg1 = 0\\r\\n\\t\\tif (rg < 240):\\r\\n\\t\\t\\trg1 = 1\\t\\r\\n\\t\\tif (rg1 == 1):\\r\\n\\t\\t\\trg = rg + .05\\t\\t\\t\\r\\n\\t\\tif (rg1 == 0):\\r\\n\\t\\t\\trg = rg - .05\\r\\n\\t\\tif (gg > 253):\\r\\n\\t\\t\\tgg1 = 0\\r\\n\\t\\tif (gg < 240):\\r\\n\\t\\t\\tgg1 = 1\\r\\n\\t\\tif (gg1 == 1):\\r\\n\\t\\t\\tgg = gg + .1\\t\\r\\n\\t\\tif (gg1 == 0):\\r\\n\\t\\t\\tgg = gg - .1\\t\\r\\n\\t\\tif (bc > 253):\\r\\n\\t\\t\\tbg1 = 0\\t\\t\\r\\n\\t\\tif (bc < 240):\\r\\n\\t\\t\\tbg1 = 1\\t\\t\\r\\n\\t\\tif (bg1 == 1):\\r\\n\\t\\t\\tbc = bc + .15\\t\\r\\n\\t\\tif (bg1 == 0):\\r\\n\\t\\t\\tbc = bc - .15\\r\\n\\t\\r\\n\\tif (pygame.mouse.get_pressed()[0]):\\r\\n\\t\\tif (r > 253):\\r\\n\\t\\t\\tr1 = 0\\t\\r\\n\\t\\tif (r < 2):\\r\\n\\t\\t\\tr1 = 1\\t\\t\\r\\n\\t\\tif (r1 == 1):\\r\\n\\t\\t\\tr = r + .15\\t\\t\\t\\r\\n\\t\\tif (r1 == 0):\\r\\n\\t\\t\\tr = r - .15\\r\\n\\t\\tif (g > 253):\\r\\n\\t\\t\\tg1 = 0\\t\\t\\r\\n\\t\\tif (g < 2):\\r\\n\\t\\t\\tg1 = 1\\t\\t\\r\\n\\t\\tif (g1 == 1):\\r\\n\\t\\t\\tg = g + .1\\t\\t\\r\\n\\t\\tif (g1 == 0):\\r\\n\\t\\t\\tg = g - .1\\t\\r\\n\\t\\tif (b > 253):\\r\\n\\t\\t\\tb1 = 0\\t\\t\\r\\n\\t\\tif (b < 2):\\r\\n\\t\\t\\tb1 = 1\\r\\n\\t\\tif (b1 == 1):\\r\\n\\t\\t\\tb = b + .05\\t\\t\\t\\r\\n\\t\\tif (b1 == 0):\\r\\n\\t\\t\\tb = b - .05\\r\\n\\t\\r\\n\\tclass Sand():\\r\\n\\t\\tdef __init__(self):\\r\\n\\t\\t\\tself.colour = (r,g,b)\\r\\n\\t\\t\\tself.velox = 0\\r\\n\\t\\t\\twhile (abs(self.velox) < .5):\\r\\n\\t\\t\\t\\tself.velox = random.randint(-48,48)/80\\r\\n\\t\\t\\tself.x = xm\\r\\n\\t\\t\\tself.y = ym\\r\\n\\t\\t\\tself.yf = int(self.y)\\r\\n\\t\\t\\r\\n\\t\\tdef Fall(self):\\r\\n\\t\\t\\tself.x += self.velox\\r\\n\\t\\t\\tif self.velox > 0:\\r\\n\\t\\t\\t\\tself.velox -= .01\\r\\n\\t\\t\\tif self.velox < 0 :\\r\\n\\t\\t\\t\\tself.velox += .01\\r\\n\\t\\t\\tif abs(self.velox) < 0.2:\\r\\n\\t\\t\\t\\tself.velox = 0\\r\\n\\t\\t\\tself.x = int(round(self.x,0))\\r\\n\\t\\t\\tif self.yf < (math.ceil(screen.get_height()/5)-1) and 0 < self.x < (math.ceil(screen.get_width()/5)-1):\\r\\n\\t\\t\\t\\tboard[self.yf][self.x] = 1\\r\\n\\t\\t\\tif board[self.yf+1][self.x] != 1:\\r\\n\\t\\t\\t\\tboard[self.yf][self.x] = 0\\r\\n\\t\\t\\t\\tself.y += 1\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\tif board[self.yf+1][self.x] == 1 and board[self.yf+1][self.x+1] != 1 and board[self.yf+1][self.x-1] != 1 and board[self.yf][self.x+1] != 1 and board[self.yf][self.x-1] != 1:\\r\\n\\t\\t\\t\\tboard[self.yf][self.x] = 0\\r\\n\\t\\t\\t\\tself.d = random.randint(0,1)\\r\\n\\t\\t\\t\\tif self.d == 0:\\r\\n\\t\\t\\t\\t\\tself.x += 1\\r\\n\\t\\t\\t\\telse:\\r\\n\\t\\t\\t\\t\\tself.x -= 1\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tif board[self.yf+1][self.x] == 1 and board[self.yf+1][self.x+1] != 1 and board[self.yf+1][self.x-1] == 1 and board[self.yf][self.x+1] != 1 and board[self.yf][self.x-1] != 1:\\r\\n\\t\\t\\t\\tboard[self.yf][self.x] = 0\\r\\n\\t\\t\\t\\tself.x += 1\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\tif board[self.yf+1][self.x] == 1 and board[self.yf+1][self.x+1] == 1 and board[self.yf+1][self.x-1] != 1 and board[self.yf][self.x+1] != 1 and board[self.yf][self.x-1] != 1:\\r\\n\\t\\t\\t\\tboard[self.yf][self.x] = 0\\r\\n\\t\\t\\t\\tself.x -= 1\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\tif board[self.yf+1][self.x] == 1 and board[self.yf+1][self.x+1] != 1 and board[self.yf+1][self.x-1] == 1 and board[self.yf][self.x+1] != 1 and board[self.yf][self.x-1] == 1:\\r\\n\\t\\t\\t\\tboard[self.yf][self.x] = 0\\r\\n\\t\\t\\t\\tself.x += 1\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\tif board[self.yf+1][self.x] == 1 and board[self.yf+1][self.x+1] == 1 and board[self.yf+1][self.x-1] != 1 and board[self.yf][self.x+1] == 1 and board[self.yf][self.x-1] != 1:\\r\\n\\t\\t\\t\\tboard[self.yf][self.x] = 0\\r\\n\\t\\t\\t\\tself.x -= 1\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\tself.yf = int(round(self.y,0))\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tpygame.draw.rect(screen, self.colour, (self.x*5,self.yf*5,5,5),0)\\r\\n\\t\\t\\t\\r\\n\\tclass Barrier():\\r\\n\\t\\tdef __init__(self):\\r\\n\\t\\t\\tself.x = int(xm)\\r\\n\\t\\t\\tself.y = int(ym)\\r\\n\\t\\t\\t\\r\\n\\t\\tdef ShowBarrier(self):\\r\\n\\t\\t\\tboard[self.y][self.x] = 1\\r\\n\\t\\t\\tboard[self.y+1][self.x+1] = 1\\r\\n\\t\\t\\tboard[self.y+1][self.x] = 1\\r\\n\\t\\t\\tboard[self.y+1][self.x-1] = 1\\r\\n\\t\\t\\tboard[self.y][self.x+1] = 1\\r\\n\\t\\t\\tboard[self.y][self.x-1] = 1\\r\\n\\t\\t\\tboard[self.y-1][self.x+1] = 1\\r\\n\\t\\t\\tboard[self.y-1][self.x] = 1\\r\\n\\t\\t\\tboard[self.y-1][self.x-1] = 1\\t\\t\\t\\r\\n\\t\\t\\tpygame.draw.rect(screen, black, (self.x*5-5,self.y*5-5,15,15),0)\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t\\r\\n\\tpygame.draw.rect(screen, (v,n,m), (0,screen.get_height()-5,screen.get_width(),5),0)\\r\\n\\tpygame.draw.rect(screen, (v,n,m), (0,0,5,screen.get_width()),0)\\r\\n\\tpygame.draw.rect(screen, (v,n,m), (screen.get_width()-5,0,5,screen.get_height()),0)\\r\\n\\t\\r\\n\\txa, ya = pygame.mouse.get_pos()\\r\\n\\t\\r\\n\\txp = xa%5\\r\\n\\txm = (xa-xp)/5\\r\\n\\typ = ya%5\\r\\n\\tym = (ya-yp)/5\\r\\n\\t\\r\\n\\tif pygame.mouse.get_pressed()[2]:\\r\\n\\t\\tbar = Barrier()\\r\\n\\t\\tbarl.append(bar)\\r\\n\\t\\r\\n\\tif pygame.mouse.get_pressed()[0]:\\r\\n\\t\\tsand = Sand()\\r\\n\\t\\tsandl.append(sand)\\r\\n\\t\\tsand = Sand()\\r\\n\\t\\tsandl.append(sand)\\r\\n\\t\\t\\r\\n\\tfor i in range(0,len(sandl)):\\r\\n\\t\\ttry:\\r\\n\\t\\t\\tsandl[i].Fall()\\r\\n\\t\\texcept IndexError:\\r\\n\\t\\t\\tpass\\r\\n\\t\\t\\t\\r\\n\\tfor i in range(0,len(barl)):\\r\\n\\t\\ttry:\\r\\n\\t\\t\\tbarl[i].ShowBarrier()\\r\\n\\t\\texcept IndexError:\\r\\n\\t\\t\\tpass\\t\\t\\t\\r\\n\\t\\r\\n\\tpygame.display.flip()\\r\\n\\tevent = pygame.event.poll()\\r\\n\\tif pygame.key.get_pressed()[pygame.K_ESCAPE]:\\r\\n\\t\\tbreak\\r\\n\\r\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":6,"string":"6"}}},{"rowIdx":2980081,"cells":{"repo_name":{"kind":"string","value":"iXce/django-pglocks"},"repo_url":{"kind":"string","value":"https://github.com/iXce/django-pglocks"},"snapshot_id":{"kind":"string","value":"47277eefb951754eb80af24aeb85801f8c1aa7fa"},"revision_id":{"kind":"string","value":"d4ae655e5d136afff8377070958547dffb72f814"},"directory_id":{"kind":"string","value":"bdacf39ba5fae93a1dfe25e72196f91552884ccc"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2020-12-25T05:29:18.668812","string":"2020-12-25T05:29:18.668812"},"revision_date":{"kind":"timestamp","value":"2016-09-17T21:12:14","string":"2016-09-17T21:12:14"},"committer_date":{"kind":"timestamp","value":"2016-09-17T21:12:14","string":"2016-09-17T21:12:14"},"github_id":{"kind":"number","value":67877659,"string":"67,877,659"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"timestamp","value":"2016-09-10T15:09:05","string":"2016-09-10T15:09:05"},"gha_updated_at":{"kind":"timestamp","value":"2016-04-11T11:44:40","string":"2016-04-11T11:44:40"},"gha_pushed_at":{"kind":"timestamp","value":"2016-04-11T12:02:01","string":"2016-04-11T12:02:01"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.553398072719574,"alphanum_fraction":0.5649859309196472,"avg_line_length":30.93000030517578,"blob_id":"a3d3637e097e4f191e9122c92e30e98c2b9ed93a","content_id":"de0ca41b5d38ab1d529b53507727f1484ac0a393","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":3193,"license_type":"permissive","max_line_length":110,"num_lines":100,"path":"/django_pglocks/__init__.py","repo_name":"iXce/django-pglocks","src_encoding":"UTF-8","text":"from zlib import crc32\nfrom django.utils import six\n\n__version__ = '1.0.2'\n\nclass advisory_lock(object):\n\n def __init__(self, lock_id, shared=False, wait=True, using=None, connection=None):\n self.lock_id = lock_id\n self.shared = shared\n self.wait = wait\n\n # The `connection` can set to an instance of :class:`psycopg2.connection`.\n # If missing then the connection is retrieved with Django.\n\n if connection:\n assert not using\n else:\n from django.db import DEFAULT_DB_ALIAS, connections\n if using is None:\n using = DEFAULT_DB_ALIAS\n connection = connections[using]\n\n self.using = using\n self.connection = connection\n self.cursor = None\n\n # Assemble the function name based on the options.\n function_name = 'pg_'\n\n if not self.wait:\n function_name += 'try_'\n\n function_name += 'advisory_lock'\n\n if self.shared:\n function_name += '_shared'\n\n release_function_name = 'pg_advisory_unlock'\n if self.shared:\n release_function_name += '_shared'\n\n # Format up the parameters.\n\n tuple_format = False\n\n if isinstance(lock_id, (list, tuple,)):\n if len(lock_id) != 2:\n raise ValueError(\"Tuples and lists as lock IDs must have exactly two entries.\")\n\n if not isinstance(lock_id[0], six.integer_types) or not isinstance(lock_id[1], six.integer_types):\n raise ValueError(\"Both members of a tuple/list lock ID must be integers\")\n\n tuple_format = True\n elif isinstance(lock_id, six.string_types):\n # Generates an id within postgres integer range (-2^31 to 2^31 - 1).\n # crc32 generates an unsigned integer in Py3, we convert it into\n # a signed integer using 2's complement (this is a noop in Py2)\n pos = crc32(lock_id.encode(\"utf-8\"))\n lock_id = (2 ** 31 - 1) & pos\n if pos & 2 ** 31:\n lock_id -= 2 ** 31\n elif not isinstance(lock_id, six.integer_types):\n raise ValueError(\"Cannot use %s as a lock id\" % lock_id)\n\n if tuple_format:\n base = \"SELECT %s(%d, %d)\"\n params = (lock_id[0], lock_id[1],)\n else:\n base = \"SELECT %s(%d)\"\n params = (lock_id,)\n\n self.query_base = base\n self.acquire_params = (function_name, ) + params\n self.release_params = (release_function_name, ) + params\n\n def acquire(self):\n command = self.query_base % self.acquire_params\n self.cursor = self.connection.cursor()\n\n self.cursor.execute(command)\n\n if not self.wait:\n self.acquired = self.cursor.fetchone()[0]\n else:\n self.acquired = True\n return self.acquired\n\n def release(self):\n if self.acquired:\n command = self.query_base % self.release_params\n self.cursor.execute(command)\n self.acquired = False\n self.cursor.close()\n\n def __enter__(self):\n return self.acquire()\n\n def __exit__(self):\n return self.release()\n"}],"string":"[\n {\n \"alpha_fraction\": 0.553398072719574,\n \"alphanum_fraction\": 0.5649859309196472,\n \"avg_line_length\": 30.93000030517578,\n \"blob_id\": \"a3d3637e097e4f191e9122c92e30e98c2b9ed93a\",\n \"content_id\": \"de0ca41b5d38ab1d529b53507727f1484ac0a393\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 3193,\n \"license_type\": \"permissive\",\n \"max_line_length\": 110,\n \"num_lines\": 100,\n \"path\": \"/django_pglocks/__init__.py\",\n \"repo_name\": \"iXce/django-pglocks\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from zlib import crc32\\nfrom django.utils import six\\n\\n__version__ = '1.0.2'\\n\\nclass advisory_lock(object):\\n\\n def __init__(self, lock_id, shared=False, wait=True, using=None, connection=None):\\n self.lock_id = lock_id\\n self.shared = shared\\n self.wait = wait\\n\\n # The `connection` can set to an instance of :class:`psycopg2.connection`.\\n # If missing then the connection is retrieved with Django.\\n\\n if connection:\\n assert not using\\n else:\\n from django.db import DEFAULT_DB_ALIAS, connections\\n if using is None:\\n using = DEFAULT_DB_ALIAS\\n connection = connections[using]\\n\\n self.using = using\\n self.connection = connection\\n self.cursor = None\\n\\n # Assemble the function name based on the options.\\n function_name = 'pg_'\\n\\n if not self.wait:\\n function_name += 'try_'\\n\\n function_name += 'advisory_lock'\\n\\n if self.shared:\\n function_name += '_shared'\\n\\n release_function_name = 'pg_advisory_unlock'\\n if self.shared:\\n release_function_name += '_shared'\\n\\n # Format up the parameters.\\n\\n tuple_format = False\\n\\n if isinstance(lock_id, (list, tuple,)):\\n if len(lock_id) != 2:\\n raise ValueError(\\\"Tuples and lists as lock IDs must have exactly two entries.\\\")\\n\\n if not isinstance(lock_id[0], six.integer_types) or not isinstance(lock_id[1], six.integer_types):\\n raise ValueError(\\\"Both members of a tuple/list lock ID must be integers\\\")\\n\\n tuple_format = True\\n elif isinstance(lock_id, six.string_types):\\n # Generates an id within postgres integer range (-2^31 to 2^31 - 1).\\n # crc32 generates an unsigned integer in Py3, we convert it into\\n # a signed integer using 2's complement (this is a noop in Py2)\\n pos = crc32(lock_id.encode(\\\"utf-8\\\"))\\n lock_id = (2 ** 31 - 1) & pos\\n if pos & 2 ** 31:\\n lock_id -= 2 ** 31\\n elif not isinstance(lock_id, six.integer_types):\\n raise ValueError(\\\"Cannot use %s as a lock id\\\" % lock_id)\\n\\n if tuple_format:\\n base = \\\"SELECT %s(%d, %d)\\\"\\n params = (lock_id[0], lock_id[1],)\\n else:\\n base = \\\"SELECT %s(%d)\\\"\\n params = (lock_id,)\\n\\n self.query_base = base\\n self.acquire_params = (function_name, ) + params\\n self.release_params = (release_function_name, ) + params\\n\\n def acquire(self):\\n command = self.query_base % self.acquire_params\\n self.cursor = self.connection.cursor()\\n\\n self.cursor.execute(command)\\n\\n if not self.wait:\\n self.acquired = self.cursor.fetchone()[0]\\n else:\\n self.acquired = True\\n return self.acquired\\n\\n def release(self):\\n if self.acquired:\\n command = self.query_base % self.release_params\\n self.cursor.execute(command)\\n self.acquired = False\\n self.cursor.close()\\n\\n def __enter__(self):\\n return self.acquire()\\n\\n def __exit__(self):\\n return self.release()\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":1,"string":"1"}}},{"rowIdx":2980082,"cells":{"repo_name":{"kind":"string","value":"TonichaC/rmzoo"},"repo_url":{"kind":"string","value":"https://github.com/TonichaC/rmzoo"},"snapshot_id":{"kind":"string","value":"09849bffb84da198ce99e37784d91e746b19a5cc"},"revision_id":{"kind":"string","value":"dedec22f017a63b58662426689bb04444076dabf"},"directory_id":{"kind":"string","value":"3a1751606804a73000072708144e127264d43a79"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2021-01-07T08:35:50.873433","string":"2021-01-07T08:35:50.873433"},"revision_date":{"kind":"timestamp","value":"2020-02-20T13:35:29","string":"2020-02-20T13:35:29"},"committer_date":{"kind":"timestamp","value":"2020-02-20T13:35:29","string":"2020-02-20T13:35:29"},"github_id":{"kind":"number","value":241636800,"string":"241,636,800"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"string","value":"MIT"},"gha_created_at":{"kind":"timestamp","value":"2020-02-19T14:05:20","string":"2020-02-19T14:05:20"},"gha_updated_at":{"kind":"timestamp","value":"2020-02-18T13:48:00","string":"2020-02-18T13:48:00"},"gha_pushed_at":{"kind":"timestamp","value":"2018-09-07T08:20:18","string":"2018-09-07T08:20:18"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.5104838013648987,"alphanum_fraction":0.5156267881393433,"avg_line_length":35.939456939697266,"blob_id":"0aa0d7ab9268a380a158daa5bb6d2cf136bc2975","content_id":"960178b8199baa746f5d9acf67df94b5ea86dbd3","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":35388,"license_type":"permissive","max_line_length":154,"num_lines":958,"path":"/rmupdater.py","repo_name":"TonichaC/rmzoo","src_encoding":"UTF-8","text":"#! /usr/bin/env python\n\n##################################################################################\n#\n# The Reverse Mathematics Zoo Updater\n# by Damir Dzhafarov\n# - Version 1.0 started August, 2010\n# - Version 2.0 started August, 2013\n# Revised by Eric Astor\n# - Version 3.0 - 29 May 2016\n# - Version 4.0 - started 30 May 2016\n# - Version 4.1 - optimizations & refactoring, started 2 July 2016\n# - Version 4.2 - new forms and reasoning, started 12 July 2016\n# - Version 4.3 - changed internal representations, started 21 July 2016\n# - Version 4.4 - moved to a shelf database, started 25 July 2016\n# - Version 5.0 - clean implementation of inference rules, started 1 August 2016\n# - Version 5.1 - reverted from shelf database for cross-platform compatibility, started 16 August 2016\n# Documentation and support: http://rmzoo.uconn.edu\n#\n##################################################################################\n\nfrom __future__ import print_function\n\nimport itertools\nimport sys\nimport \n\nfrom io import open\nfrom collections import defaultdict\n\nfrom version_guard import isString, lru_cache\n\nimport zlib\ntry:\n import cPickle as pickle\nexcept:\n import pickle\n\ndef eprint(*args, **kwargs):\n print(*args, file=sys.stderr, **kwargs)\n\nDate = u'16 August 2016'\nVersion = u'5.1'\nDatabaseVersion = u'5.1'\n\nversion, versionPoint = sys.version_info[0:2]\nif version >= 3 and versionPoint >= 3:\n timekeeper = time.perf_counter\nelse:\n timekeeper = time.clock\n\nfrom rmBitmasks import *\nfrom renderJustification import *\n\nRCAprinciple = u'RCA'\n\nprinciplesList = [RCAprinciple]\nprinciples = set(principlesList)\n\ndef addPrinciple(a):\n setA = set(a.split(u'+'))\n a = u'+'.join(sorted(setA))\n principles.add(a)\n principles.update(setA)\n return a\n\nconjunction = {}\ndef joinPrinciples(a, b):\n try:\n return conjunction[a,b]\n except KeyError:\n p = u'+'.join(sorted(set(a.split(u'+')) | set(b.split(u'+'))))\n if p not in principles:\n p = None\n conjunction[a,b] = p\n conjunction[b,a] = p\n return p\n\nequivalent = defaultdict(noReduction)\nimplies = defaultdict(noReduction)\nnotImplies = defaultdict(noReduction)\n\ndef addEquivalent(a,reduction,b):\n equivalent[a,b] |= Reduction.weaker(reduction)\n\ndef addReduction(a,reduction,b):\n implies[a,b] |= Reduction.weaker(reduction)\n\ndef addNonReduction(a,reduction,b):\n notImplies[a,b] |= Reduction.stronger(reduction)\n\nconservative = defaultdict(noForm)\nnonConservative = defaultdict(noForm)\n\ndef addConservative(a,frm,b):\n conservative[a,b] |= Form.stronger(frm)\n\ndef addNonConservative(a,frm,b):\n nonConservative[a,b] |= Form.weaker(frm)\n\nform = defaultdict(noForm)\n\nprimary = set()\nprimaryIndex = []\n\ndef addForm(a, frm):\n form[a] |= Form.weaker(frm)\n\ndef addPrimary(a):\n primary.add(a)\n primaryIndex.append(a)\n\njustify = {}\njustComplexity = {}\n\ndef updateJustification(fact, jst, cplx):\n try:\n if cplx >= justComplexity[fact]:\n return False\n except KeyError:\n pass\n justify[fact] = jst\n justComplexity[fact] = cplx\n return True\n\ndef unoptimizedJustification(fact, jst, cplx):\n if fact in justify:\n return False\n else:\n justify[fact] = jst\n return True\n\nclass UnjustifiedFactError(Exception):\n def __init__(self, a, op, b):\n super(UnjustifiedFactError, self).__init__(u'The fact \"{0}\" is not justified.'.format(printFact(a, op, b)))\n\ndef addUnjustified(a, op, b):\n raise UnjustifiedFactError(a, op, b)\n\nclass ContradictionError(Exception):\n def __init__(self, fact1, fact2):\n super(ContradictionError, self).__init__(u'The following facts are contradictory:\\n\\n' +\n printJustification(fact1, justify) + u'\\n\\n' +\n printJustification(fact2, justify))\n\n# Noted side-effects:\n# Changing '<->' can affect '->'\n# Changing '->' can affect 'c' and '<->'\n# Changing 'c' can affect '->'\n# Changing '-|>' can affect 'nc'\n# Changing 'nc' can affect '-|>'\ndef addFact(a, op, b, jst, cplx):\n fact = (a, op, b)\n if not updateJustification(fact, jst, cplx):\n return False\n opCtx,opCore = op\n \n ref = (fact,)\n refCplx = 1 + cplx\n \n if opCore == u'<->': # equivalence\n # Symmetry:\n # IF (a X<-> b), THEN (b X<-> a).\n updateJustification((b, op, a), jst, cplx)\n \n for x in Reduction.list(Reduction.weaker(opCtx)):\n newOp = (x, u'<->')\n \n addEquivalent(a, x, b)\n updateJustification((a, newOp, b), ref, refCplx)\n \n # Symmetry:\n # IF (a X<-> b), THEN (b X<-> a).\n addEquivalent(b, x, a)\n updateJustification((b, newOp, a), ref, refCplx)\n \n # Definition of equivalence:\n # IF (a X<-> b), THEN (a X-> b) AND (b X-> a).\n impliesOp = (opCtx, u'->')\n addFact(a, impliesOp, b, (fact,), refCplx)\n addFact(b, impliesOp, a, (fact,), refCplx)\n elif opCore == u'->': # implication\n for x in Reduction.list(Reduction.weaker(opCtx)):\n addReduction(a, x, b)\n updateJustification((a, (x, u'->'), b), ref, refCplx)\n \n if Reduction.isPresent(x, notImplies[a,b]):\n raise ContradictionError((a, (x, u'->'), b), (a, (x, u'-|>'), b))\n \n if x == Reduction.RCA:\n if x == opCtx:\n newRef = ref\n newRefCplx = refCplx\n else:\n newRef = ((a, (x, u'->'), b),)\n newRefCplx = 1 + refCplx\n \n # Trivial conservation:\n # IF (a RCA-> b), THEN (b Fc a).\n for f in Form:\n if f != Form.none:\n addFact(b, (f, u'c'), a, newRef, newRefCplx)\n \n # Definition of conjunction (special case):\n # IF (a X-> b), THEN (a X<-> a+b).\n ab = joinPrinciples(a,b)\n if ab is not None:\n addFact(a, (opCtx, u'<->'), ab, ref, refCplx)\n elif opCore == u'-|>': # non-implication\n for x in Reduction.list(Reduction.stronger(opCtx)):\n addNonReduction(a, x, b)\n updateJustification((a, (x, u'-|>'), b), ref, refCplx)\n \n if Reduction.isPresent(x, implies[a,b]):\n raise ContradictionError((a, (x, u'-|>'), b), (a, (x, u'->'), b))\n \n if x == Reduction.RCA:\n if x == opCtx:\n newFact = fact\n newCplx = 1 + refCplx\n else:\n newFact = (a, (x, u'-|>'), b)\n newCplx = 2 + refCplx\n \n # Definition of non-conservation (special case):\n # IF (a RCA-|> b) AND (b form F), THEN (b nFc a).\n for f in Form.list(form[b]):\n addFact(b, (f, u'nc'), a, (newFact, (b, u'form', f)), newCplx)\n elif opCore == u'c': # conservation\n for f in Form.list(Form.stronger(opCtx)):\n newFact = (a, (f, u'c'), b)\n \n addConservative(a, f, b)\n updateJustification(newFact, ref, refCplx)\n \n if Form.isPresent(f, nonConservative[a,b]):\n raise ContradictionError((a, (f, u'c'), b), (a, (f, u'nc'), b))\n \n # Definition of conservation (special case):\n # IF (a Fc b) AND (a form F), THEN (b RCA-> a).\n if Form.isPresent(f, form[a]):\n if f == opCtx:\n newCplx = 1 + refCplx\n else:\n newCplx = 2 + refCplx\n \n addFact(b, (Reduction.RCA, u'->'), a, (newFact, (a, u'form', f)), newCplx)\n elif opCore == u'nc': # non-conservation\n for f in Form.list(Form.weaker(opCtx)):\n addNonConservative(a, f, b)\n updateJustification((a, (f, u'nc'), b), ref, refCplx)\n \n if Form.isPresent(f, conservative[a,b]):\n raise ContradictionError((a, (f, u'nc'), b), (a, (f, u'c'), b))\n \n # Trivial conservation (contrapositive):\n # IF (a nFc b), THEN (b RCA-|> a).\n addFact(b, (Reduction.RCA, u'-|>'), a, ref, refCplx)\n else:\n raise ValueError(u'Unrecognized operator: ' + opCore)\n \n return True\n\ndef standardizePrinciple(a):\n return u'+'.join(sorted(set(a.split(u'+'))))\ndef standardizeFact(a, op, b):\n a = standardizePrinciple(a)\n if op != u'form':\n b = standardizePrinciple(b)\n if op[1] == u'<=':\n op = (op[0], u'->')\n a,b = b,a\n elif op[1] == u'</=':\n op = (op[0], u'-|>')\n a,b = b,a\n return a, op, b\n\nfrom pyparsing import *\ndef parseResults(resultsString, quiet=False):\n start = timekeeper()\n if not quiet: eprint(u'Parsing results...')\n # Name parsed strings\n name = Word( alphas+\"_+^{}\\\\$\", alphanums+\"_+^{}$\\\\\").setParseAction(lambda s,l,t: addPrinciple(t[0]))\n \n parenth = Literal('\"')\n justification = QuotedString('\"\"\"',multiline=True) | quotedString.setParseAction(removeQuotes)\n \n _reductionName = NoMatch()\n for r in Reduction:\n if r != Reduction.none:\n _reductionName |= Literal(r.name)\n for r in Reduction.alias:\n if r != u'':\n _reductionName |= Literal(r)\n _reductionType = _reductionName.setParseAction(lambda s,l,t: [Reduction.fromString(t[0])])\n reductionType = Optional(_reductionType, default=Reduction.RCA)\n postfixReductionType = Optional(Suppress(Literal(\"_\")) + _reductionType, default=Reduction.RCA)\n \n implication = (reductionType + Literal(\"->\")) | (Literal(\"=>\") + postfixReductionType).setParseAction(lambda s,l,t: [t[1], \"->\"])\n nonImplication = (reductionType + Literal(\"-|>\")) | (Literal(\"=/>\") + postfixReductionType).setParseAction(lambda s,l,t: [t[1], \"-|>\"])\n equivalence = (reductionType + Literal(\"<->\")) | (Literal(\"<=>\") + postfixReductionType).setParseAction(lambda s,l,t: [t[1], \"<->\"])\n \n reduction = (Literal(\"<=\") + postfixReductionType).setParseAction(lambda s,l,t: [t[1], \"<=\"])\n nonReduction = (Literal(\"</=\") + postfixReductionType).setParseAction(lambda s,l,t: [t[1], \"</=\"])\n \n _formName = NoMatch()\n for f in Form:\n if f != Form.none:\n _formName |= Literal(f.name)\n formType = _formName.setParseAction(lambda s,l,t: [Form.fromString(t[0])])\n \n conservation = formType + Literal(\"c\")\n nonConservation = (Literal(\"n\") + formType + Literal(\"c\")).setParseAction(lambda s,l,t: [t[1], \"nc\"])\n \n operator = implication | nonImplication | reduction | nonReduction | equivalence | conservation | nonConservation\n \n # Results file lines\n unjustified = (name + Group(operator) + name + ~justification).setParseAction(lambda s,l,t: addUnjustified(*standardizeFact(t[0], tuple(t[1]), t[2])))\n \n factsToAdd = []\n def _addFactParseAction(s,l,t):\n a,op,b = standardizeFact(t[0], tuple(t[1]), t[2])\n factsToAdd.append(((a, op, b), t[3]))\n fact = (name + Group(operator) + name + justification).setParseAction(_addFactParseAction)\n\n formDef = (name + Literal(\"form\") + formType).setParseAction(lambda s,l,t: addForm(t[0], t[2]))\n primary = (name + Literal(\"is primary\")).setParseAction(lambda s,l,t: addPrimary(t[0]))\n \n comments = Suppress(Literal( \"#\" ) + SkipTo(LineEnd()))\n \n # Represent and parse results file\n entry = fact | formDef | primary | unjustified | comments\n results = ZeroOrMore( entry ) + StringEnd()\n \n results.parseString(resultsString)\n \n global principlesList\n principlesList = sorted(principles)\n \n for (a, op, b), jst in factsToAdd:\n addFact(a, op, b, jst, 1)\n \n if not quiet: eprint(u'Principles found: {0:,d}'.format(len(principlesList)))\n if not quiet: eprint(u'Elapsed: {0:.6f} s\\n'.format(timekeeper() - start))\n\n# General fact; uses nothing, affects '<->', '->', and 'c'\ndef addReflexivities():\n for a in principlesList:\n for x in Reduction:\n if x == Reduction.none: continue\n \n # (a X-> a)\n addFact(a, (x, u'<->'), a, u'reflexivity', 1)\n \n # (a X<-> a)\n addFact(a, (x, u'->'), a, u'reflexivity', 1)\n \n for f in Form:\n if f == Form.none: continue\n \n # (a Fc a)\n addFact(a, (f, u'c'), a, u'reflexivity', 1)\n\n# General fact; uses nothing, affects '->'\ndef addRCABottom():\n # (a X-> RCA)\n for a in principlesList:\n for x in Reduction:\n if x == Reduction.none: continue\n \n addFact(a, (x, u'->'), RCAprinciple, u'', 1)\n\n# General fact; uses nothing, affects '->'\ndef definitionOfConjunction():\n # IF (a == b+...), THEN (a X-> b).\n for a in principlesList:\n splitA = set(a.split(u'+'))\n if len(splitA) == 1: continue\n \n for b in principlesList:\n if b == a: continue\n \n splitB = set(b.split(u'+'))\n if splitB <= splitA:\n for x in Reduction:\n if x == Reduction.none: continue\n \n addFact(a, (x, u'->'), b, u'', 1)\n\n# Uses '->', affects '<->'\ndef definitionOfEquivalence():\n #a X<-> b\n #WHEN\n # (a X-> b) AND (b X-> a)\n \n r = False\n for a,b in itertools.combinations(principlesList, 2):\n equiv = implies[a,b] & implies[b,a]\n \n if equiv != Reduction.none:\n for x in Reduction.list(equiv):\n imp = (x, u'->')\n aImpB = (a, imp, b)\n bImpA = (b, imp, a)\n \n r |= addFact(a, (x, u'<->'), b,\n (aImpB, bImpA), 1 + justComplexity[aImpB] + justComplexity[bImpA])\n return r\n\n# Uses array, affects array\ndef transitiveClosure(array, opName, clsCtx):\n # Complete (current) transitive closure of array, using Floyd-Warshall\n \n r = False\n for c in principlesList:\n for a in principlesList:\n if a == c: continue\n \n acRelation = array[a,c]\n if acRelation == clsCtx.none: continue\n \n for b in principlesList:\n if b == a or b == c: continue\n \n transitive = acRelation & array[c,b]\n if transitive == clsCtx.none: continue\n \n for x in clsCtx.list(transitive):\n op = (x, opName)\n aOpC = (a, op, c)\n cOpB = (c, op, b)\n \n r |= addFact(a, op, b,\n (aOpC, cOpB), 1 + justComplexity[aOpC] + justComplexity[cOpB])\n return r\n\n# Uses '->', affects '->'\ndef unifyOverConjunctions():\n #a X-> b\n #WHEN\n # (b == c+d) AND (a X-> c) AND (a X-> d) \"Definition of conjunction\"\n \n r = False\n for b in principlesList:\n splitB = b.split(u'+')\n if len(splitB) == 1: continue # b is not a conjunction\n \n for a in principlesList:\n aImpliesAll = ~Reduction.none\n for p in splitB:\n aImpliesAll &= implies[a,p]\n if aImpliesAll == Reduction.none: continue\n \n for x in Reduction.list(aImpliesAll):\n aImpConjuncts = tuple([(a, (x, u'->'), t) for t in splitB])\n r |= addFact(a, (x, u'->'), b,\n aImpConjuncts, 1 + sum(justComplexity[aImpX] for aImpX in aImpConjuncts))\n return r\n\n#REDUNDANT\n# Uses 'c' and '->', affects '->'\ndef definitionOfConservation():\n #a RCA-> b\n #WHEN\n # (c Fc a) AND (c RCA-> b) AND (b has form F) \"Definition of conservation\"\n \n r = False\n for c in principlesList:\n for b in principlesList:\n if b == c: continue\n \n if Reduction.isPresent(Reduction.RCA, implies[c,b]):\n formB = form[b]\n if formB == Form.none: continue\n \n cImpB = (c, (Reduction.RCA, u'->'), b)\n refCplxCB = 2 + justComplexity[cImpB]\n \n for a in principlesList:\n if a == b or a == c: continue\n \n frms = formB & conservative[c,a]\n if frms == Form.none: continue\n \n for f in Form.list(frms):\n cConsA = (c, (f, u'c'), a)\n \n r |= addFact(a, (Reduction.RCA, u'->'), b,\n (cConsA, cImpB, (b, u'form', f)), refCplxCB + justComplexity[cConsA])\n return r\n\n# Uses posArray and negArray, affects negArray\ndef contrapositiveTransitivity(posArray, posOpName, negArray, negOpName, clsCtx):\n r = False\n for c in principlesList:\n for a in principlesList:\n if a == c: continue\n \n #a nop b\n #WHEN\n # (c op a) AND (c nop b)\n caRelation = posArray[c,a]\n if caRelation != clsCtx.none:\n for b in principlesList:\n if b == a or b == c: continue\n \n contexts = caRelation & negArray[c,b]\n if contexts == clsCtx.none: continue\n \n for ctx in clsCtx.list(contexts):\n nop = (ctx, negOpName)\n \n cOpA = (c, (ctx, posOpName), a)\n cNOpB = (c, nop, b)\n \n r |= addFact(a, nop, b,\n (cOpA, cNOpB), 1 + justComplexity[cOpA] + justComplexity[cNOpB])\n \n #a nop b\n #WHEN\n # (a nop c) AND (b op c)\n acNRelation = negArray[a,c]\n if acNRelation != clsCtx.none:\n for b in principlesList:\n if b == a or b == c: continue\n \n contexts = acNRelation & posArray[b,c]\n if contexts == clsCtx.none: continue\n \n for ctx in clsCtx.list(contexts):\n nop = (ctx, negOpName)\n \n aNOpC = (a, nop, c)\n bOpC = (b, (ctx, posOpName), c)\n \n r |= addFact(a, nop, b,\n (aNOpC, bOpC), 1 + justComplexity[aNOpC] + justComplexity[bOpC])\n return r\n\n# Uses '->' and '-|>', affects '-|>'\ndef contrapositiveConjunction():\n #a X-|> b\n #WHEN\n # (a X-> c) AND (a X-|> b+c)\n \n r = False\n for c in principlesList:\n for b in principlesList:\n if b == c: continue\n \n bc = joinPrinciples(b,c)\n if bc is None: continue\n \n for a in principlesList:\n if a == b: continue\n \n if a == c: # Special-case\n reds = notImplies[a,bc]\n if reds == Reduction.none: continue\n \n for x in Reduction.list(reds):\n notImp = (x, u'-|>')\n \n aNotImpBC = (a, notImp, bc)\n \n r |= addFact(a, notImp, b,\n (aNotImpBC,), 1 + justComplexity[aNotImpBC])\n else:\n reds = implies[a,c] & notImplies[a,bc]\n if reds == Reduction.none: continue\n \n for x in Reduction.list(reds):\n notImp = (x, u'-|>')\n \n aImpC = (a, (x, u'->'), c)\n aNotImpBC = (a, notImp, bc)\n \n r |= addFact(a, notImp, b,\n (aImpC, aNotImpBC), 1 + justComplexity[aImpC] + justComplexity[aNotImpBC])\n return r\n\n#REDUNDANT\n# Uses 'c' and '-|>', affects '-|>'\ndef contrapositiveConservation(): \n #a RCA-|> b\n #WHEN\n # (a Fc c) AND (c RCA-|> b) AND (b has form F)\n notImp = (Reduction.RCA, u'-|>')\n \n r = False\n for c in principlesList:\n for b in principlesList:\n if b == c: continue\n \n if Reduction.isPresent(Reduction.RCA, notImplies[c,b]):\n formB = form[b]\n if formB == Form.none: continue\n \n cNotImpB = (c, notImp, b)\n refCplxCB = 2 + justComplexity[cNotImpB]\n \n for a in principlesList:\n if a == b or a == c: continue\n \n frms = conservative[a,c] & formB\n if frms == Form.none: continue\n \n for f in Form.list(frms):\n aConsC = (a, (f, u'c'), c)\n \n r |= addFact(a, notImp, b,\n (aConsC, cNotImpB, (b, u'form', f)), justComplexity[aConsC] + refCplxCB)\n return r\n\n#REDUNDANT\n# Uses 'c' and '->', affects 'c'\ndef liftConservation():\n r = False\n for c in principlesList:\n #a Fc b\n #WHEN\n # (c RCA-> a) AND (c Fc b) [aka \"Weaker principles prove less\"]\n for a in principlesList:\n if a == c: continue\n \n if Reduction.isPresent(Reduction.RCA, implies[c,a]):\n cImpA = (c, (Reduction.RCA, u'->'), a)\n refCplxCA = 1 + justComplexity[cImpA]\n \n for b in principlesList:\n if b == a or b == c: continue\n \n for f in Form.list(conservative[c,b]):\n fc = (f, u'c')\n cConsB = (c, fc, b)\n \n r |= addFact(a, fc, b,\n (cImpA, cConsB), refCplxCA + justComplexity[cConsB])\n \n #a Fc b\n #WHEN\n # (a Fc c) AND (b RCA-> c) [aka \"Stronger principles prove more\"]\n for b in principlesList:\n if b == c: continue\n \n if Reduction.isPresent(Reduction.RCA, implies[b,c]):\n bImpC = (b, (Reduction.RCA, u'->'), c)\n refCplxBC = 1 + justComplexity[bImpC]\n \n for a in principlesList:\n if a == b or a == c: continue\n \n for f in Form.list(conservative[a,c]):\n fc = (f, u'c')\n aConsC = (a, fc, c)\n \n r |= addFact(a, fc, b,\n (aConsC, bImpC), justComplexity[aConsC] + refCplxBC)\n return r\n\n#REDUNDANT\n# Uses '->' and '-|>', affects 'nc'\ndef definitionOfNonConservation():\n #a nFc b\n #WHEN\n # (a RCA-> c) AND (b RCA-|> c) AND (c has form F)\n r = False\n for c in principlesList:\n formC = form[c]\n if formC == Form.none: continue\n cForms = Form.list(formC)\n \n for a in principlesList:\n if a == c: continue\n \n if Reduction.isPresent(Reduction.RCA, implies[a,c]):\n aImpC = (a, (Reduction.RCA, u'->'), c)\n refCplxAC = 2 + justComplexity[aImpC]\n \n for b in principlesList:\n if b == a or b == c: continue\n \n if Reduction.isPresent(Reduction.RCA, notImplies[b,c]):\n bNotImpC = (b, (Reduction.RCA, u'-|>'), c)\n \n cplx = refCplxAC + justComplexity[bNotImpC]\n \n for f in cForms:\n r |= addFact(a, (f, u'nc'), b,\n (aImpC, bNotImpC, (c, u'form', f)), cplx)\n return r\n\n#REDUNDANT\n# Uses 'nc' and '->', affects 'nc'\ndef liftNonConservation():\n imp = (Reduction.RCA, u'->')\n \n r = False\n for c in principlesList:\n #a nFc b\n #WHEN\n # (a nFc c) AND (c RCA-> b) [aka \"Weaker principles prove less (contrapositive)\"]\n for b in principlesList:\n if b == c: continue\n \n if Reduction.isPresent(Reduction.RCA, implies[c,b]):\n cImpB = (c, imp, b)\n refCplxCB = 1 + justComplexity[cImpB]\n \n for a in principlesList:\n if a == b or a == c: continue\n \n for f in Form.list(nonConservative[a,c]):\n nFc = (f, u'nc')\n aNonConsC = (a, nFc, c)\n \n r |= addFact(a, nFc, b,\n (aNonConsC, cImpB), justComplexity[aNonConsC] + refCplxCB)\n \n #a nFc b\n #WHEN\n # (a RCA-> c) AND (c nFc b) [aka \"Stronger principles prove more (contrapositive)\"]\n for a in principlesList:\n if a == c: continue\n \n if Reduction.isPresent(Reduction.RCA, implies[a,c]):\n aImpC = (a, imp, c)\n refCplxAC = 1 + justComplexity[aImpC]\n \n for b in principlesList:\n if b == a or b == c: continue\n \n for f in Form.list(nonConservative[c,b]):\n nFc = (f, u'nc')\n cNonConsB = (c, (f, u'nc'), b)\n \n r |= addFact(a, nFc, b,\n (aImpC, cNonConsB), refCplxAC + justComplexity[cNonConsB])\n return r\n\ndef deriveInferences(quiet=False, verbose=False):\n start = timekeeper()\n if not quiet: eprint(u'Adding reflexivity facts..')\n addReflexivities()\n if not quiet: eprint(u'Making RCA trivial..')\n addRCABottom()\n if not quiet: eprint(u'Recording conjunctions...')\n definitionOfConjunction()\n if not quiet: eprint(u'Elapsed: {0:.6f} s\\n'.format(timekeeper() - start))\n \n start = timekeeper()\n if not quiet: eprint(u'Deriving positive facts:')\n n = 0\n eUpdated, iUpdated, cUpdated = True, True, True\n while eUpdated or iUpdated or cUpdated:\n n += 1\n eChanged, iChanged, cChanged = False, False, False\n \n if iUpdated or iChanged:\n if not quiet: eprint(u'\\tExtracting equivalences...')\n eChanged |= definitionOfEquivalence() # Uses '->', affects '<->'\n if eUpdated or eChanged:\n if not quiet: eprint(u'\\tTaking the transitive closure of equivalence...')\n eChanged |= transitiveClosure(equivalent, u'<->', Reduction) # Uses '<->', affects '<->'\n \n if iUpdated or iChanged:\n if not quiet: eprint(u'\\tTaking the transitive closure of implication...')\n iChanged |= transitiveClosure(implies, u'->', Reduction) # Uses '->', affects '->'\n if not quiet: eprint(u'\\tReverse-engineering implications of conjunctions...')\n iChanged |= unifyOverConjunctions() # Uses '->', affects '->'\n if (cUpdated or cChanged) or (iUpdated or iChanged):\n if not quiet: eprint(u'\\tImplementing conservativity for implication...')\n iChanged |= definitionOfConservation() # Uses 'c' and '->', affects '->'\n \n if cUpdated or cChanged:\n if not quiet: eprint(u'\\tTaking the transitive closure of conservation facts...')\n cChanged |= transitiveClosure(conservative, u'c', Form) # Uses 'c', affects 'c'\n if (cUpdated or cChanged) or (iUpdated or iChanged):\n if not quiet: eprint(u'\\tLifting conservation facts over implications...')\n cChanged |= liftConservation() # Uses 'c' and '->', affects 'c'\n \n if verbose:\n eprint(u'\\t\\tDuring iteration {0}:'.format(n))\n if eChanged: eprint(u'\\t\\t\\tEquivalences updated.')\n if iChanged: eprint(u'\\t\\t\\tImplications updated.')\n if cChanged: eprint(u'\\t\\t\\tConservation facts updated.')\n if not eChanged and not iChanged and not cChanged: eprint(u'\\t\\t\\tNothing updated.')\n \n eUpdated = eChanged\n iUpdated = iChanged\n cUpdated = cChanged\n if not quiet:\n eprint(u'Finished with positive facts.')\n eprint(u'Elapsed: {0:.6f} s (with {1} repeats)\\n'.format(timekeeper() - start, n))\n \n start = timekeeper()\n if not quiet: eprint(u'Deriving negative facts:')\n n = 0\n niUpdated, ncUpdated = True, True\n while niUpdated or ncUpdated:\n n += 1\n niChanged, ncChanged = False, False\n \n if niUpdated or niChanged:\n if not quiet: eprint(u'\\tApplying transivitity to non-implications...')\n niChanged |= contrapositiveTransitivity(implies, u'->', notImplies, u'-|>', Reduction) # Uses '->' and '-|>', affects '-|>'\n if not quiet: eprint(u'\\tSplitting non-implications over conjunctions...')\n niChanged |= contrapositiveConjunction() # Uses '->' and '-|>', affects '-|>'\n if not quiet: eprint(u'\\tImplementing conservativity for non-implication...')\n niChanged |= contrapositiveConservation() # Uses 'c' and '-|>', affects '-|>'\n \n if ncUpdated or ncChanged:\n if not quiet: eprint(u'\\tApplying transivitity to non-conservation facts...')\n ncChanged |= contrapositiveTransitivity(conservative, u'c', nonConservative, u'nc', Form) # Uses 'c' and 'nc', affects 'nc'\n if niUpdated or niChanged:\n if not quiet: eprint(u'\\tExtracting non-conservation facts from non-implications...')\n ncChanged |= definitionOfNonConservation() # Uses '->' and '-|>', affects 'nc'\n if ncUpdated or ncChanged:\n if not quiet: eprint(u'\\tLifting non-conservation facts over implications...')\n ncChanged |= liftNonConservation() # Uses 'nc' and '->', affects 'nc'\n \n if verbose:\n eprint(u'\\t\\tDuring iteration {0}:'.format(n))\n if niChanged: eprint(u'\\t\\t\\tNon-implications updated.')\n if ncChanged: eprint(u'\\t\\t\\tNon-conservation facts updated.')\n if not niChanged and not ncChanged: eprint(u'\\t\\t\\tNothing updated.')\n \n niUpdated = niChanged\n ncUpdated = ncChanged\n if not quiet:\n eprint(u'Finished with negative facts.')\n eprint(u'Elapsed: {0:.6f} s (with {1} repeats)\\n'.format(timekeeper() - start, n))\n\ndef getDatabase():\n return {'version': DatabaseVersion,\n 'principles': principles,\n 'implication': (implies, notImplies),\n 'conservation': (conservative, nonConservative),\n 'form': form,\n 'primary': (primary, primaryIndex),\n 'justify': justify}\n\ndef setDatabase(database):\n if database['version'] != DatabaseVersion:\n raise VersionError(database['version'], DatabaseVersion)\n \n global principles, principlesList\n principles = database['principles']\n principlesList = sorted(principles)\n \n global implies, notImplies\n implies, notImplies = database['implication']\n \n global conservative, nonConservative\n conservative, nonConservative = database['conservation']\n \n global form\n form = database['form']\n \n global primary, primaryIndex\n primary, primaryIndex = database['primary']\n \n global justify\n justify = database['justify']\n \n global justComplexity\n justComplexity = {}\n def rebuildComplexity(fact):\n try:\n return justComplexity[fact]\n except KeyError:\n r = 1\n \n a,op,b = fact\n if op != u'form':\n jst = justify[fact]\n if not isString(jst):\n r += sum(rebuildComplexity(f) for f in jst)\n \n justComplexity[fact] = r\n return r\n for fact in justify:\n rebuildComplexity(fact)\n\ndef dumpDatabase(databaseName, quiet=False):\n if not quiet: eprint(u'Facts known: {0:,d}\\n'.format(len(justify)))\n \n start = timekeeper()\n if not quiet: eprint(u'Dumping updated database to binary file...')\n with open(databaseName, mode='wb') as databaseFile:\n pickledDatabase = pickle.dumps(getDatabase(), protocol=2)\n compressedDatabase = zlib.compress(pickledDatabase)\n databaseFile.write(compressedDatabase)\n \n if not quiet: eprint(u'Elapsed: {0:.6f} s\\n'.format(timekeeper() - start))\n\ndef loadDatabase(databaseName, quiet=False):\n with open(databaseName, mode='rb') as databaseFile:\n compressedDatabase = databaseFile.read()\n pickledDatabase = zlib.decompress(compressedDatabase)\n setDatabase(pickle.loads(pickledDatabase))\n\nfrom optparse import OptionParser, OptionGroup\ndef main():\n absoluteStart = timekeeper()\n eprint(u'\\nRM Zoo (v{0})\\n'.format(Version))\n \n parser = OptionParser(u'Usage: %prog [options] results [database_title]', version=u'%prog {0} ({1})'.format(Version, Date))\n \n parser.set_defaults(quiet=False, verbose=False)\n \n parser.add_option('-q', action='store_true', dest='quiet',\n help = u'Suppress progress/timing indicators.')\n parser.add_option('-v', action='store_true', dest='verbose',\n help = u'Report additional execution information.')\n \n (options, args) = parser.parse_args()\n if len(args)>2:\n parser.error(u'Too many arguments provided.')\n if len(args)<1:\n parser.error(u'No results file specified.')\n \n if options.quiet and options.verbose:\n parser.error(u'Options -q and -v are incompatible.')\n \n import os\n resultsFile = args[0]\n if len(args) > 1:\n databaseTitle = args[1]\n else:\n eprint(u'No database title specified; defaulting to \"database\".')\n databaseTitle = 'database.dat'\n \n if os.path.splitext(databaseTitle)[1] == '':\n databaseName = databaseTitle + os.extsep + 'dat'\n else:\n databaseName = databaseTitle\n \n if not os.path.exists(resultsFile):\n parser.error(u'Results file \"{0}\" does not exist.'.format(resultsFile))\n \n with open(resultsFile, encoding='utf-8') as f:\n parseResults(f.read(), options.quiet)\n deriveInferences(quiet=options.quiet, verbose=options.verbose)\n dumpDatabase(databaseName, options.quiet)\n if not options.quiet: eprint(u'Total elapsed time: {0:.6f} s'.format(timekeeper() - absoluteStart))\n \n if options.verbose:\n try:\n report = []\n report.append(u'\\tReduction.list: {0}'.format(Reduction.list.cache_info()))\n report.append(u'\\tForm.list: {0}'.format(Form.list.cache_info()))\n eprint(u'\\nCache report: ')\n eprint('\\n'.join(report))\n except AttributeError:\n pass\nif __name__ == '__main__':\n main()\n"},{"alpha_fraction":0.7473697662353516,"alphanum_fraction":0.7594210505485535,"avg_line_length":65.4533920288086,"blob_id":"1cf2369b1b4ad89c9717427958048614fd84cece","content_id":"d467ef2c86ff064ef2017929c7c4ec909ab8e198","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":15688,"license_type":"permissive","max_line_length":642,"num_lines":236,"path":"/README.md","repo_name":"TonichaC/rmzoo","src_encoding":"UTF-8","text":"# RM Zoo\n\nThe Reverse Mathematics Zoo is a program to help organize relations among various mathematical principles, particularly those that fail to be equivalent to any of the big five subsystems of second-order arithmetic. Its primary goal is to make it easier to see known results and open questions, and thus hopefully to serve as a useful tool to researchers in the field. As a secondary goal, the Zoo should provide an interactive annotated bibliography of the field, collecting results in a standard machine-readable format.\n\nThe present version of the RM Zoo is a complete rewrite of the original, and features many improvements. The program has been heavily optimized and extended; the run time should generally be faster, and more true facts should be inferred from most starting results files. In addition, the RM Zoo can now handle implications, reducibilities (including both Weihrauch reducibility and computable reducibility), and conservation facts.\n\nThe program is divided into two parts: a database updater/compiler, which derives all inferences from the provided results file, and a database query system, which can answer specific questions about reverse-mathematical relations or produce diagrams on request.\n\nUnder the reverse-mathematical interface, the Zoo is actually a specialized inference engine, designed to reason with facts of the form \"a implies b in context Q\" (implication facts), \"if a implies p, and p has form F, then b implies p\" (conservation facts), or the negations thereof.\n\n## Installation\n\nTo run the RM Zoo, you will need to install a distribution of Python, version 2.7 or later. (The Zoo will perform best if run in either [PyPy2.7](http://pypy.org/index.html) or [Python 3.4+](https://www.python.org/).)\n\nYou will also need the [Pyparsing](http://pyparsing.wikispaces.com/) module.\n\nIf not using Python 3.4+, you will need to install the [enum34](https://bitbucket.org/stoneleaf/enum34) module, and if not using Python 3.2+, you will also need the [repoze.lru](https://github.com/repoze/repoze.lru) module.\n\nTo install each of these modules, run the appropriate commands below:\n```\npip install pyparsing\npip install enum34\npip install repoze.lru\n```\n\nTo view/render the diagrams produced by the Zoo, you will need to install [Graphviz](http://www.graphviz.org/), or another program capable of reading DOT files.\n\n## Usage\n\nThe RM Zoo consists of two Python scripts, `rmupdater.py` and `rmzoo.py`.\n\n### rmupdater\n\n`rmupdater.py` compiles results files into databases of known facts, and is typically run as follows:\n\n- `python rmupdater.py [results file]`,\n\nwhere `[results file]` is a text file containing facts; the results file included in this distribution is `byPaper.txt`. If using multiple results files (for testing purposes), you may keep them in separate databases by adding a database title:\n\n- `python rmupdater.py [results file] [database title]`\n\nFor example, one would typically run\n\n- `python rmupdater.py byPaper.txt`;\n\nIf maintaining an alternate results file in `test.txt`, one might separately run the command\n\n- `python rmupdater.py test.txt testDatabase`.\n\n### rmzoo\n\n`rmzoo.py` then takes the database built by `rmupdater.py`, and carries out various tasks as controlled by its options. The basic command is\n\n- `python rmzoo.py [options]`;\n\nhowever, if you need to specify a database title, add it to the command as follows:\n\n- `python rmzoo.py [database title] [options]`\n\n---\n\nTo query the database for a fact (which will determine whether it is known or contradicted, and give the justification in either case), run the command\n\n- `python rmzoo.py -q \"[fact]\"`.\n\nFor example,\n\n- `python rmzoo.py -q \"RT22 -> CRT22\"`\n\nwill print a justification of the fact that **RT<sup>2</sup><sub>2</sub>** implies **CRT<sup>2</sup><sub>2</sub>** over **RCA<sub>0</sub>**.\n\n---\n\nTo generate a diagram from the database, instead run\n\n- `python rmzoo.py [diagram options] > [destination]`,\n\nwhere `[destination]` is a DOT file. The `[diagram options]` **must** include one or more of the following:\n\n- `-i`: show implications as black arrows;\n- `-n`: show non-implications as red arrows;\n- `-f`: color-codes principles by their syntactic form; currently, this uses a pink box for Π<sup>1</sup><sub>1</sub> principles, and a cyan box for restricted Π<sup>1</sup><sub>2</sub> principles. Other forms do not yet have a color code.\n- `-c`: show conservation facts, using color-coded arrows (as for the forms) to represent each form of conservation;\n- `-w`: show the weakest open implications as green arrows;\n- `-s`: show the strongest open implications as green arrows.\nIn addition, the options may include any of the following:\n- `-o`: show facts that hold in ω-models;\n- `-t [REDUCIBILITY]`: show facts relative to implications over the given REDUCIBILITY (options include sW, W, gW, sc, c, w, and RCA);\n- `-p`: show only one primary principle from each group of equivalent principles;\n- `-r \"[CLASS]\"`: restrict the diagram to just the principles contained between the quotation marks (and any sub-principles of conjunctions in the list). For example, the option `-r \"RT22 COH+WKL SRT22 RCA\"` will show only relations between the principles **RT22**, **COH+WKL**, **SRT22**, **RCA<sub>0</sub>**, **COH**, and **WKL**.\n\nFor instance,\n\n- `python rmzoo.py -i -o -w > diagram.dot`\n\nwill produce a diagram of all implications between principles that hold in ω-models, along with the weakest open implications (in ω-models). Generally speaking, the more options that are selected, the more information is shown on the diagram; this tends to make it harder to read.\n\nIt would probably be of very limited use to select *all* the options, for instance.\n\n## Credits\n\nThe RM Zoo was originally developed by Damir Dzhafarov, inspired by Joseph S. Miller's command-line version of the Computability Menagerie. Recently, the Zoo has been largely rewritten by Eric Astor to improve performance, expand the library of available inference rules, and move to a more maintainable/upgradeable architecture.\n\nMany people have helped with the RM Zoo, by commenting on the code, contributing facts, suggesting new features, or just expressing their interest. Thanks in particular to David Belanger, Peter Cholak, Stephen Flood, Denis Hirschfeldt, Steffen Lempp, Joe Miller, Antonio Montalbán, Carl Mummert, Ludovic Patey, Sam Sanders, and Ted Slaman.\n\n## Contributing\n\nContributions and/or feedback are, of course, welcome! If you are comfortable working with GitHub, the best way to contribute is as follows:\n\n1. Fork the code.\n2. Create your feature branch: `git checkout -b my-new-feature`\n3. Commit your changes: `git commit -am 'Add some feature'`\n4. Push to the branch: `git push origin my-new-feature`\n5. Submit a pull request.\n\nOtherwise, don't hesitate to send an e-mail or other message.\n\n### Results\n\nThe results file is a simple text file containing relations between reverse-mathematical principles. This is then compiled by the Zoo's updater to create its database, which is then used by the Zoo to generate its various outputs (whether DOT files or text responses).\n\n#### Names\n\nPrinciples should be named by **simple plaintext alphanumeric strings** that resemble their normal acronyms in the literature; for example, we use `RT22` for Ramsey's theorem for pairs (and 2 colors). Do not use TeX in the names of principles (as in `RT^2_2` or `\\mathsf{RT}^2_2`); this will make the diagrams harder to read, as DOT files have no TeX support, and can sometimes cause errors.\n\n#### Relations\n\nRelations between principles are given by using various operators. For instance:\n\n- `RT22 -> COH`\n\nindicates an **implication** provable in **RCA<sub>0</sub>**. By itself, however, this would generate an error; all facts must include a **justification**. To justify this fact, one would instead write:\n\n- `RT22 -> COH \"Mileti (2004) [Claim A.1.3], and independently Jockusch and Lempp\"`\n\nThese justifications are used by the Zoo to keep track of why the facts it derives are true, and as such are important for maintaining a usable database. For simplicity, justifications should also be plaintext; if a principle needs to be mentioned, the same acronyms as for relations should be used. To keep the results file clean, please use the justification format: \"Author 1, Author 2, and Author 3 (year) \\[result citation\\]\". If possible, citations should be to the authoritative published version of the paper, falling back to an arXiv citation only when the authoritative version is not yet available.\n\n**Non-implications** (i.e., implications known *not* to be provable in **RCA<sub>0</sub>**), can be entered similarly, using the operator `-|>`; for example,\n\n- `RT22+WKL -|> ACA \"Seetapun and Slaman (1995) [Theorem 3.1]\"`\n\nHowever, this result said more than this; Seetapun and Slaman specifically constructed an omega-model of **RT22+WKL** in which **ACA** failed. In general, one can represent implications and non-implications over omega-models by prepending `w` before an operator. Thus, one can more accurately write the previous result as\n\n- `RT22+WKL w-|> ACA \"Seetapun and Slaman (1995) [Theorem 3.1]\"`\n\nand might also write\n\n- `COH w-> StCOH \"Hirschfeldt and Shore (2007) [Proposition 4.4]\"`\n\nto represent this implication which, while not necessarily true in all models of **RCA<sub>0</sub>**, holds over all omega models. The Zoo is programmed to understand that `->` is stronger than `w->`, and thus that `w-|>` is stronger than `-|>`.\n\nFurthermore, the Zoo now supports results from the study of computable and Weihrauch reducibilities, using the operators `<=` and `</=`, and appending an abbreviation of the relevant reducibility. For example, the following facts could be included in the results file:\n\n- `DNR <=_c SRT22 \"Hirschfeldt, Jockusch, Kjos-Hanssen, Lempp, and Slaman (2008) [follows from proof of Theorem 2.3]\"`\n- `COH </=_W SRT22 \"Dzhafarov (to appear) [Corollary 4.5]\"`\n\nThe supported reducibilities are:\n\n- strong Weihrauch reducibility (`sW`)\n- Weihrauch/uniform reducibility (`W`)\n- generalized Weihrauch reducibility (`gW`)\n- strong computable reducibility (`sc`)\n- computable reducibility (`c`)\n- generalized computable reducibility (`gc`) \\[also known as reducibility over omega-models (`w`)\\]\n\nThe Zoo understands the relations between these reducibilities, and between them and the above notions of implication. Thus, it can conclude from the above examples that `SRT22 w-> DNR` and that `COH </=_sW SRT22`.\n\n##### Equivalences and Primary Principles\n\nThe Zoo can handle cycles without difficulty. For example, it will know that the facts\n\n- `StCOH -> StCADS`\n- `StCADS -> StCOH`\n\ntogether indicate that the principles **StCOH** and **StCADS** are **equivalent** over **RCA<sub>0</sub>**, and will act accordingly. For instance, if rendering a diagram, the Zoo will pick one of the two principles to treat as 'primary', in the sense that implications and non-implications will only be shown going to and from the primary principle; this reduces the mess, and keeps the diagram more readable. Of course, the Zoo may occasionally pick the \"wrong\" primary principle; for instance, we probably want **StCOH** to be considered primary over **StCADS**. Since the Zoo has no way of knowing that on its own, we can include the fact\n\n- `StCOH is primary`\n\nin our results file, and ensure that the Zoo considers **StCOH** to be the primary principle. (Note that our choice of primary principles is given no justification; in fact, by the standards of the results file, it *cannot* be justified.) The order in which this is done matters. For example, if we switch to thinking about omega models, **StCOH** will be equivalent to **COH**, but we probably want **COH** to be considered primary in this case. Entering\n\n- `COH is primary`\n\n**earlier** (i.e., \"higher up\") in the results file will achieve the desired result.\n\nPrinciples can also be declared equivalent by use of dedicated operators, included for convenience. Writing\n\n- `StCOH <-> StCADS`\n\nwill produce the same result as including both of the two separate implications. (**Warning:** prepending a `w` to `<->` does work, but does not merely indicate an equivalence that holds over omega models; it in fact asserts that both halves of the implication hold in omega models. One can use the operator `<=>` in a similar way, subject to the same caveat.)\n\n#### Syntactic Forms and Conservation Facts\n\nThe Zoo also understands **syntactic forms** and **conservations facts** relating reverse-mathematical principles. Specifically, it understands the syntactic forms \n\n- `Sig02`, `Pi02`, `Sig03`, `Pi03`, `Sig04`, and `Pi04`: three levels of the arithmetic hierarchy\n- `Pi11`, `Pi12`, and `Pi13`: the first three universal levels of the analytic hierarchy\n- `uPi03`: Pi03 with a single universally-quantified set paramater; defined as \"twiddle-Pi<sup>0</sup><sub>3</sub>\" in Patey and Yokoyama (preprint)\n- `rPi12`: restricted Pi12 statements, as defined in Hirschfeldt and Shore (2007) \\[Corollary 2.21\\]\n\nWe can thus enter\n\n- `RT22 form rPi12`\n- `BSig2 form Pi11`\n\nto indicate that the given principles have the given forms. (Note that these statements are **unjustified**.)\n\nTo indicate that one principle is conservative over another for consequences of a given form (that is to say, the first proves no more consequences of that form than the second), we can add results such as:\n\n- `AMT+BSig2 Pi11c BSig2 \"Hirschfeldt, Shore, and Slaman (2009) [Corollary 4.5]\"`\n- `AMT rPi12c RCA \"Hirschfeldt, Shore, and Slaman (2009) [Corollary 3.15]\"`\n\nTo indicate that one principle is **not** conservative over another, prepend an `n` before the conservation operator. For instance, we might add the result\n\n- `RT22 nPi04c RCA \"Seetapun and Slaman (1995) [Theorem 3.6]\"`\n\nConservation and non-conservation facts must, again, be justified. The Zoo understands the connections between conservation facts and implications, and will use them to extract more relations between the known principles.\n\n#### Compound Principles (i.e., Conjunctions)\n\nAs the reader may have noted above, the Zoo also understands compound principles; that is, principles that are conjunctions of other principles. For instance, if we add\n\n- `SRT22+COH <-> RT22`\n\nas a fact in the results file, the Zoo will know that `COH+SRT22` is a compound principle, denoting the conjunction of `COH` and `SRT22`. It will add any component principles to its internal list, and automatically understands the relations between the compound principle and its components. \n\n#### Organization and Formatting\n\nPlease note that any line in the results file starting with a `#` symbol is ignored, and considered to be a comment for human readers.\n\nIf contributing to the results file, please take note of the organization formatting used therein; we have organized the results by publication, arranged by publication year when possible (with the noted exception of Simpson's \"Subsystems of Second-Order Arithmetic\" \\[also known as SOSOA\\], which is listed first). Each publication's results should be preceded by a comment containing a full authoritative citation, including (if at all possible) a URL and DOI for the authoritative published version.\n\nContributions to the results file are extremely welcome. For example, if anyone wants to transcribe the relevant results of Simpson's SOSOA into our format, the maintainers would be eternally grateful! (For context, please note that this textbook is over 450 pages long.)\n\n## License\n\nThe RM Zoo has been placed under the MIT license; in plain English, you can do whatever you want with it, including redistribution and creation of derivative works, as long as attribution and the appropriate license information remain. For details, please see the LICENSE file.\n"},{"alpha_fraction":0.646034836769104,"alphanum_fraction":0.6479690670967102,"avg_line_length":23.619047164916992,"blob_id":"3bfe288f065d124568ecf4d49c278c0f44593992","content_id":"22029037e80654d6c4521d61f88c66db6114bbe5","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":517,"license_type":"permissive","max_line_length":58,"num_lines":21,"path":"/version_guard.py","repo_name":"TonichaC/rmzoo","src_encoding":"UTF-8","text":"import sys\nif sys.version_info >= (3,):\n def isString(value):\n return isinstance(value, str)\nelse:\n def isString(value):\n return isinstance(value, basestring)\n\n# Mock \"lru_cache\"; actually just a pass-through decorator\ndef lru_cache(*args, **kwargs):\n def empty_decorator(f):\n f.__wrapped__ = f\n return f\n return empty_decorator\ntry:\n from functools import lru_cache\nexcept ImportError:\n try:\n from repoze.lru import lru_cache\n except ImportError:\n pass\n"},{"alpha_fraction":0.5370121002197266,"alphanum_fraction":0.5464333891868591,"avg_line_length":29.547945022583008,"blob_id":"12fe5e561a010a6eba832e3f356246f2d1ec5fcf","content_id":"538c4cf08ad4caf414f75f808f6e47bb9254728a","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2229,"license_type":"permissive","max_line_length":142,"num_lines":73,"path":"/renderJustification.py","repo_name":"TonichaC/rmzoo","src_encoding":"UTF-8","text":"from __future__ import print_function, unicode_literals\n\nfrom rmBitmasks import Form, Reduction\n\nfrom version_guard import lru_cache, isString\n\n_justLineMarker = u'*'\n_justIndentMarker = u'@'\njustMarker = _justLineMarker + _justIndentMarker\n_justIndented = justMarker + _justIndentMarker\n_justFormat = justMarker + u'{0}: '\ndef indentJust(jst):\n return jst.replace(justMarker, _justIndented)\n\n@lru_cache(maxsize=1024)\ndef printOp(op):\n if isString(op):\n return op\n \n opCtx, opCore = op\n try:\n opCtx = opCtx.name\n except AttributeError:\n pass\n \n if opCore == u'nc':\n return u'n{0}c'.format(opCtx)\n elif opCore in (u'=>', u'=/>', u'<=', u'</=', u'<=>'):\n return u'{1}_{0}'.format(opCtx, opCore)\n else:\n return u'{0}{1}'.format(opCtx, opCore)\n\ndef printFact(a, op, b):\n if op == u'form':\n b = b.name\n elif op[0] in (Reduction.sW, Reduction.W, Reduction.gW, Reduction.sc, Reduction.c): # Reducibility fact, not implication fact\n if op[1] == u'->':\n op = (op[0], u'<=')\n a,b = b,a\n elif op[1] == u'-|>':\n op = (op[0], u'</=')\n a,b = b,a\n elif op[1] == u'<->':\n op = (op[0], u'<=>')\n return u'{0} {1} {2}'.format(a, printOp(op), b)\n\nprintedJustify = {}\ndef printJustification(fact, justify, formatted=True):\n a,op,b = fact\n \n r = ''\n try:\n r = printedJustify[fact]\n except KeyError:\n if op == u'form':\n r = justMarker + printFact(*fact)\n else:\n try:\n jst = justify[fact]\n except KeyError:\n raise Exception(u'ERROR: Referenced fact \"{0}\" not justified!'.format(printFact(*fact)))\n \n if isString(jst):\n r = _justFormat.format(printFact(*fact)) + jst\n else:\n r = _justFormat.format(printFact(*fact)) \\\n + u''.join((_justIndented+f if isString(f) else indentJust(printJustification(f, justify, formatted=False))) for f in jst)\n printedJustify[fact] = r\n \n if formatted:\n return r.replace(_justLineMarker, u'\\n').replace(_justIndentMarker, u' ')\n else:\n return r"},{"alpha_fraction":0.5372593998908997,"alphanum_fraction":0.5396416783332825,"avg_line_length":34.452701568603516,"blob_id":"59479c7df654fcb04ccbd8b5a8e71c3161562d12","content_id":"b590282d37e7551ec5229b985e54b79f73be13e9","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":10494,"license_type":"permissive","max_line_length":128,"num_lines":296,"path":"/databaseToJSON.py","repo_name":"TonichaC/rmzoo","src_encoding":"UTF-8","text":"#! /usr/bin/env python\n\nfrom __future__ import print_function\n\nimport os, sys, uuid\n\nimport itertools\nfrom io import open\nfrom collections import defaultdict\n\nfrom version_guard import isString\n\nimport zlib\ntry:\n import cPickle as pickle\nexcept:\n import pickle\n\ntry:\n import ujson as json\nexcept:\n print('UltraJSON not available; falling back to Python library.')\n import json\n\nfrom rmBitmasks import *\nfrom renderJustification import printOp\n\nVersion = u'5.1'\nDatabaseVersion = u'5.1'\n\nclass VersionError(Exception):\n def __init__(self, targetVersion, actualVersion):\n super(VersionError, self).__init__(u'Version mismatch: found v{0}, targeting v{1}'.format(actualVersion, targetVersion))\n\nclass Zoo:\n _nextUID = 0\n \n nodes = {}\n meta = {'edgeKinds': [],\n 'colorings': [],\n 'graphviz': {}}\n \n def addNode(label, definition='', key=None, uid=None, edges={}, properties={}, tags=[]):\n if uid is None:\n uid = _nextUID\n _nextUID += 1\n \n n = Node(uid, label, definition, key, edges, properties, tags)\n if key is None:\n nodes[label] = n\n else:\n nodes[key] = n\n \n def addEdgeKind(label, functionBody):\n self.meta['edgeKinds'].append({'label': label, 'functionBody': functionBody})\n \n def addColoring(self, name, colors, labels, coloringFunction):\n self.meta['colorings'].append(Coloring(name, colors, labels, coloringFunction))\n \n def __getitem__(self, key):\n return self.nodes[key]\n \n def __setitem__(self, key, item):\n self.nodes[key] = item\n \n def __contains__(self, key):\n return (key in self.nodes)\n \n def __init__(self, edgeKinds=[], rankdir='TB'):\n self.meta['edgeKinds'] = edgeKinds\n self.meta['graphviz'] = {'rankdir': rankdir}\n\nclass Coloring:\n def __init__(self, name, colors, labels, coloringFunction):\n self.label = name\n self.colors = [{'color': color, 'label': label} for color,label in zip(colors,labels)]\n self.coloring = coloringFunction\n\nclass Node:\n def __init__(self, uid, label, definition='', key=None, edges={}, properties={}, tags=[]):\n if key is None:\n key = label\n \n self.uid = uid\n self.label = label\n self.definition = definition\n self.key = key\n self.edges = edges\n self.properties = properties\n self.tags = tags\n \n def addEdge(self, dstKey, properties={}):\n self.edges[dstKey] = Edge(self.key, dstKey, properties)\n \n def addProperty(self, name, justification, value=None, description='', uid=None):\n self.properties[name] = Property(justification, value, description, uid)\n\nclass Edge:\n def __init__(self, srcKey, dstKey, properties={}):\n self.srcKey = srcKey\n self.dstKey = dstKey\n self.properties = properties\n \n def addProperty(self, name, justification, value=None, description='', uid=None):\n self.properties[name] = Property(justification, value, description, uid)\n\nclass Property:\n def __init__(self, justification, value=None, description='', uid=None):\n if uid is None:\n uid = uuid.uuid4()\n \n self.value = value\n self.justification = justification\n self.description = description\n self.uid = uid\n\nclass Justification:\n weight = 0\n direct = None\n composite = None\n \n def __init__(self, direct=None, composite=None, weight=None):\n if direct is None and composite is None:\n raise ValueError('Justifications must contain some justification.')\n if direct is not None and composite is not None:\n raise ValueError('Justifications are either direct or composite, not both.')\n \n if direct is not None:\n self.weight = 1\n self.direct = direct\n \n if composite is not None:\n if weight is None:\n raise ValueError('Composite justifications must specify their weights.')\n \n self.weight = weight\n self.composite = composite\n \ndef loadDatabase(databaseName, quiet=False):\n with open(databaseName, mode='rb') as databaseFile:\n compressedDatabase = databaseFile.read()\n pickledDatabase = zlib.decompress(compressedDatabase)\n setDatabase(pickle.loads(pickledDatabase))\n\ndef getDatabase():\n return {'version': DatabaseVersion,\n 'principles': principles,\n 'implication': (implies, notImplies),\n 'conservation': (conservative, nonConservative),\n 'form': form,\n 'primary': (primary, primaryIndex),\n 'justify': justify}\ndef setDatabase(database):\n if database['version'] != DatabaseVersion:\n raise VersionError(DatabaseVersion, database['version'])\n \n global principles\n principles = database['principles']\n \n global implies, notImplies\n implies, notImplies = database['implication']\n \n global conservative, nonConservative\n conservative, nonConservative = database['conservation']\n \n global form\n form = database['form']\n \n global primary, primaryIndex\n primary, primaryIndex = database['primary']\n \n global justify\n justify = database['justify']\n\nif __name__ == '__main__':\n databaseTitle = 'database'\n if os.path.splitext(databaseTitle)[1] == '':\n databaseName = databaseTitle + os.extsep + 'dat'\n else:\n databaseName = databaseTitle\n loadDatabase(databaseName)\n \n primaryIndex += sorted(principles - primary)\n \n meta = {\n 'tags': [],\n 'edgeKinds': [],\n 'colorings': [],\n 'about': {'description': 'The <a href=\"https://rmzoo.math.uconn.edu/\">RM Zoo</a> is a program to '\n 'help organize reverse-mathematical relations between mathematical '\n 'principles, particularly those that fail to be equivalent to any of the '\n 'big five subsystems of second-order arithmetic. Its primary goal is to '\n 'make it easier to see known results and open questions, and thus '\n 'hopefully to serve as a useful tool to researchers in the field. As a '\n 'secondary goal, the Zoo provides an interactive annotated bibliography '\n 'of the field, collecting results in a standard machine-readable format.'},\n 'graphviz': {}\n }\n\n translationFunction = \"if('{0}' in edge.properties) return 1; \" \\\n \"if('{1}' in edge.properties) return 0; \" \\\n \"return 2;\"\n for red in Reduction:\n if red == Reduction.none: continue\n \n posName = red.name + u'i'\n negName = red.name + u'ni'\n \n kindNode = {'label': '$\\rightarrow_{\\rm ' + red.name + '}$',\n 'key': posName,\n 'edges': [r.name + u'i' for r in Reduction.list(Reduction.weaker(red) & ~red)]}\n kind = {'label': '$\\rightarrow_{\\rm ' + red.name + '}$',\n 'functionBody': translationFunction.format(posName, negName),\n 'node': kindNode}\n meta['edgeKinds'].append(kind)\n for f in Form:\n if f == Form.none: continue\n \n posName = f.name + u'c'\n negName = f.name + u'nc'\n \n #TODO: Implement better labels for conservation results\n kindNode = {'label': posName,\n 'key': posName,\n 'edges': [r.name + u'i' for r in Reduction.list(Reduction.weaker(red) & ~red)]}\n kind = {'label': posName,\n 'functionBody': translationFunction.format(posName, negName),\n 'node': kindNode}\n \n nodes = {}\n for i,p in enumerate(primaryIndex):\n nodes[p] = dict()\n nodes[p]['uid'] = i\n \n #TODO: Implement labels\n nodes[p]['label'] = p\n \n #TODO: Implement definitions\n nodes[p]['definition'] = ''\n \n nodes[p]['edges'] = {dst:{'srcKey':p,\n 'dstKey':dst,\n 'properties':dict()} for dst in principles}\n nodes[p]['properties'] = {}\n nodes[p]['tags'] = []\n uid = i+1\n \n properties = {}\n for p in sorted(principles):\n for f in Form.list(form[p]):\n #TODO: Implement justifications for forms\n properties[(p, u'form', f)] = {'uid': uid,\n 'value': f.name,\n 'justification': {'weight': 1,\n 'direct': 'Observed'}}\n nodes[p]['properties'][f.name] = properties[(p, u'form', f)]\n uid += 1\n \n for f,j in justify.items():\n if f in properties:\n continue\n \n toJustify = [(f, j, {'uid': uid})]\n uid += 1\n while toJustify:\n fact,jst,prop = toJustify.pop()\n done = True\n if isString(jst):\n prop['justification'] = {'weight': 1, 'direct': jst}\n elif all(ref in properties for ref in jst):\n prop['justification'] = {'weight': 1 + sum(properties[ref]['justification']['weight'] for ref in jst),\n 'composite': [properties[ref]['uid'] for ref in jst]}\n else:\n done = False\n toJustify.append((fact, jst, prop))\n for ref in jst:\n if ref in properties:\n continue\n toJustify.append((ref, justify[ref], {'uid': uid}))\n uid += 1\n if done:\n properties[fact] = prop\n \n a,op,b = fact\n opCtx,opCore = op\n if opCore in u'->':\n coreName = u'i'\n elif opCore == u'-|>':\n coreName = u'ni'\n else:\n coreName = opCore\n opName = opCtx.name + coreName\n nodes[a]['edges'][b]['properties'][opName] = prop\n \n with open('rmzoo.json', 'w') as f:\n json.dump({'nodes': nodes, 'meta': meta}, f, sort_keys=True, indent=4)\n"},{"alpha_fraction":0.5344477295875549,"alphanum_fraction":0.582109808921814,"avg_line_length":27.203821182250977,"blob_id":"b6640429366d2e8fe0cc55fc769966c480cf88f6","content_id":"df33faa03cc34755f595249b69e70f15ac91f3a3","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":4427,"license_type":"permissive","max_line_length":98,"num_lines":157,"path":"/rmBitmasks.py","repo_name":"TonichaC/rmzoo","src_encoding":"UTF-8","text":"from __future__ import print_function, unicode_literals\n\nfrom enum import Enum\n\nfrom version_guard import lru_cache\n\nclass BitmaskEnum(int, Enum):\n def __new__(cls, value=None):\n if value is None:\n if len(cls.__members__) == 0:\n value = 0\n else:\n value = 1 << (len(cls.__members__) - 1)\n \n obj = int.__new__(cls, value)\n obj._value_ = value\n return obj\n \n @staticmethod\n def isPresent(x,magic_num):\n return (x & magic_num) != 0\n \n @classmethod\n @lru_cache(maxsize=256)\n def strongest(cls,magic_num):\n if magic_num == 0:\n return cls(0)\n else:\n return cls(1 << (magic_num.bit_length() - 1))\n \n @classmethod\n @lru_cache(maxsize=256)\n def weakest(cls,magic_num):\n if magic_num == 0:\n return cls.none\n else:\n return cls(magic_num & -magic_num)\n \n @classmethod\n @lru_cache(maxsize=256)\n def list(cls,magic_num):\n return [x for x in cls if cls.isPresent(x, magic_num)]\n \n @classmethod\n def fromString(cls,s):\n try:\n return getattr(cls, s)\n except AttributeError:\n raise NotImplementedError(\"The {0} `{1}` is not implemented.\".format(cls.__name__, s))\n\nclass Reduction(BitmaskEnum):\n none = 0\n w = 1 << 0\n RCA = 1 << 1\n c = 1 << 2\n sc = 1 << 3\n gW = 1 << 4\n W = 1 << 5\n sW = 1 << 6\n \n @classmethod\n def fromString(cls,s):\n try:\n return cls.alias[s]\n except KeyError:\n try:\n return getattr(cls, s)\n except AttributeError:\n raise NotImplementedError(\"The reduction `{}` is not implemented.\".format(s))\n\nReduction.alias = {u'': Reduction.RCA,\n u'gc': Reduction.w}\n\ndef noReduction():\n return Reduction.none\n\nclass Form(BitmaskEnum):\n none = 0\n Sig02 = 1 << 10\n Pi02 = 1 << 9\n Sig03 = 1 << 8\n Pi03 = 1 << 7\n uPi03 = 1 << 6\n Sig04 = 1 << 5\n Pi04 = 1 << 4\n Pi11 = 1 << 3\n rPi12 = 1 << 2\n Pi12 = 1 << 1\n Pi13 = 1 << 0\n\ndef noForm():\n return Form.none\n\ndef _completeImplications(enum, forward):\n for c in enum:\n if c == enum.none: continue\n for a in enum:\n if a == enum.none: continue\n \n if enum.isPresent(c, forward[a]):\n forward[a] |= forward[c]\n\ndef _reverseImplications(enum, forward):\n reverse = {enum.none: enum.none}\n for p0 in enum:\n if p0 == enum.none: continue\n \n reverse[p0] = enum.none\n for p1 in enum:\n if p1 == enum.none: continue\n \n if enum.isPresent(p0, forward[p1]):\n reverse[p0] |= p1\n return reverse\n\n_R_WEAKER = {r:r for r in Reduction}\n\n_R_WEAKER[Reduction.RCA] |= Reduction.w # RCA -> w\n\n_R_WEAKER[Reduction.sc] |= Reduction.c # sc -> c\n_R_WEAKER[Reduction.c] |= Reduction.w # c -> w\n\n_R_WEAKER[Reduction.sW] |= Reduction.W | Reduction.sc # sW -> W, sc\n_R_WEAKER[Reduction.W] |= Reduction.gW | Reduction.c # W -> gW, c\n_R_WEAKER[Reduction.gW] |= Reduction.w # gW -> w\n\n_completeImplications(Reduction, _R_WEAKER)\n\n_R_STRONGER = _reverseImplications(Reduction, _R_WEAKER)\n\nReduction.weaker = lambda r: _R_WEAKER[r]\nReduction.stronger = lambda r: _R_STRONGER[r]\n\n_F_STRONGER = {f:f for f in Form}\n\n_F_STRONGER[Form.Pi13] |= Form.Pi12 # Pi12 implies Pi13\n_F_STRONGER[Form.Pi12] |= Form.rPi12 # rPi12 implies Pi12\n_F_STRONGER[Form.rPi12] |= Form.Pi11 # Pi11 implies rPi12\n_F_STRONGER[Form.Pi11] |= Form.Sig04 # Sig04 implies Pi11\n_F_STRONGER[Form.Pi11] |= Form.Pi04 # Pi04 implies Pi11\n_F_STRONGER[Form.Pi11] |= Form.uPi03 # uPi03 implies Pi11\n_F_STRONGER[Form.Sig04] |= Form.Sig03 # Sig03 implies Sig04\n_F_STRONGER[Form.Sig04] |= Form.Pi03 # Pi03 implies Sig04\n_F_STRONGER[Form.Pi04] |= Form.Sig03 # Sig03 implies Pi04\n_F_STRONGER[Form.Pi04] |= Form.Pi03 # Pi03 implies Pi04\n_F_STRONGER[Form.uPi03] |= Form.Pi03 # Pi03 implies uPi03\n_F_STRONGER[Form.Sig03] |= Form.Sig02 # Sig02 implies Sig03\n_F_STRONGER[Form.Sig03] |= Form.Pi02 # Pi02 implies Sig03\n_F_STRONGER[Form.Pi03] |= Form.Sig02 # Sig02 implies Pi03\n_F_STRONGER[Form.Pi03] |= Form.Pi02 # Pi02 implies Pi03\n\n_completeImplications(Form, _F_STRONGER)\n\n_F_WEAKER = _reverseImplications(Form, _F_STRONGER)\n\nForm.weaker = lambda f: _F_WEAKER[f]\nForm.stronger = lambda f: _F_STRONGER[f]"},{"alpha_fraction":0.5429601073265076,"alphanum_fraction":0.5495439171791077,"avg_line_length":35.15292739868164,"blob_id":"bb8d0339eca1975cee5ce7190ec57473c133537f","content_id":"610a686931b1850467b07d354d59878a44733d7b","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":27188,"license_type":"permissive","max_line_length":179,"num_lines":752,"path":"/rmzoo.py","repo_name":"TonichaC/rmzoo","src_encoding":"UTF-8","text":"#! /usr/bin/env python\n\n##################################################################################\n#\n# The Reverse Mathematics Zoo\n# by Damir Dzhafarov\n# - Version 1.0 started August, 2010\n# - Version 2.0 started August, 2013\n# Revised by Eric Astor\n# - Version 3.0 - 29 May 2016\n# - Version 4.0 - started 30 May 2016\n# - Version 4.1 - optimizations & refactoring, started 2 July 2016\n# - Version 4.2 - new forms and reasoning, started 12 July 2016\n# - Version 4.3 - changed internal representations, started 21 July 2016\n# - Version 4.4 - moved to a shelf database, started 25 July 2016\n# - Version 5.0 - clean implementation of inference rules, started 1 August 2016\n# - Version 5.1 - reverted from shelf database for cross-platform compatibility, started 16 August 2016\n# Documentation and support: http://rmzoo.uconn.edu\n#\n##################################################################################\n\nfrom __future__ import print_function\n\nimport os, sys\n\nimport itertools\nfrom io import open\nfrom collections import defaultdict\n\nfrom version_guard import isString\n\nimport zlib\ntry:\n import cPickle as pickle\nexcept:\n import pickle\n\nfrom rmupdater import standardizeFact\n\ndef eprint(*args, **kwargs):\n print(*args, file=sys.stderr, **kwargs)\n\nError = False\ndef warning(s):\n global Error\n Error = True\n eprint(s)\n\ndef error(s): # Throw exception\n raise Exception(s)\n\nDate = u'16 August 2016'\nVersion = u'5.1'\nDatabaseVersion = u'5.1'\n\nfrom rmBitmasks import *\nfrom renderJustification import *\n\n_FORM_COLOR = {Form.none: \"white\",\n Form.weaker(Form.Pi11): \"pink\",\n Form.weaker(Form.rPi12): \"cyan\"}\n_CONS_COLOR = {Form.none: \"white\",\n Form.weaker(Form.Pi11): \"pink\",\n Form.weaker(Form.rPi12): \"cyan\"}\n \n##################################################################################\n#\n# GET OPTIONS\n#\n##################################################################################\n \neprint(u'\\nRM Zoo (v{0})'.format(Version))\n\nfrom optparse import OptionParser, OptionGroup\n\nparser = OptionParser(u'Usage: %prog [options] [database]', version=u'%prog {0} ({1})'.format(Version, Date))\n\nparser.set_defaults(implications=False,nonimplications=False,omega=False,onlyprimary=False,weak=False,strong=False,showform=False,conservation=False,add_principles=False)\n\nparser.add_option('-i', action='store_true', dest='implications',\n help=u'Display implications between principles.')\nparser.add_option('-n', action='store_true', dest='nonimplications',\n help=u'Display non-implications between principles.')\nparser.add_option('-w', action='store_true', dest='weak',\n help=u'Display weakest non-redundant open implications.')\nparser.add_option('-s', action='store_true', dest='strong',\n help=u'Display strongest non-redundant open implications.')\nparser.add_option('-t', dest='reducibility', default='RCA',\n help=u'Display facts relative to REDUCIBILITY-implications.')\nparser.add_option('-o', action='store_const', dest='reducibility', const='w',\n help=u'Display only facts that hold in omega models.')\nparser.add_option('-p', action='store_true', dest='onlyprimary',\n help=u'Display only facts about primary principles.')\n \nparser.add_option('-f', action='store_true', dest='showform',\n help=u'Indicate syntactic forms of principles.')\nparser.add_option('-c', action='store_true', dest='conservation',\n help=u'Display known conservation results.')\n \nparser.add_option('-r', dest='restrict_string', metavar='CLASS',\n help=u'Restrict to only the principles in CLASS.')\nparser.add_option('--omit', dest='omit_string', metavar='CLASS',\n help=u'Omit all principles in CLASS.')\n\nparser.add_option('-q', dest='query_string', metavar='FACT',\n help=u'Show whether FACT is known, and if so, its justification.')\nparser.add_option('-F', dest='query_file', metavar='FILE',\n help=u'Query whether all facts in FILE are known, and return a list of all unknown facts.')\n\nparser.add_option('--force', action='store_true', dest='add_principles',\n help=u'Allow queries involving novel conjunctions from the database. (WARNING: slow)')\n\n(options, args) = parser.parse_args()\n\nImplications = options.implications\nNonImplications = options.nonimplications\nWeak = options.weak\nStrong = options.strong\nReducibility = Reduction.fromString(options.reducibility)\nOnlyPrimary = options.onlyprimary\nShowForm = options.showform\nConservation = options.conservation\nRestrict = options.restrict_string\nOmissions = options.omit_string\nif Restrict:\n rSet = set()\n for p in Restrict.split():\n splitP = p.split(u'+')\n setP = set(splitP)\n p = u'+'.join(sorted(setP))\n \n rSet.add(p)\n rSet.update(splitP)\n Restrict = rSet\nif Omissions:\n Omissions = set(Omissions.split())\nQuery = options.query_string\nQueryFile = options.query_file\nAddPrinciples = options.add_principles\n \n# Give errors if bad options chosen\n\nif not Implications and not NonImplications and not OnlyPrimary and not Restrict and not Weak and not Strong and not ShowForm and not Conservation and not Query and not QueryFile:\n parser.error(u'No options selected.')\nif OnlyPrimary:\n if not Implications and not NonImplications and not Weak and not Strong and not ShowForm and not Conservation:\n parser.error(u'Option -p only works if one of -i, -n, -w, -s, -f, or -c is selected.')\nif Restrict or Omissions:\n if Restrict and Omissions:\n parser.error(u'Options -r and --omit are incompatible.')\n if not Implications and not NonImplications and not Weak and not Strong and not ShowForm and not Conservation:\n parser.error(u'Options -r and --omit only work if one of -i, -n, -w, -s, -f, or -c is selected.')\nif Query:\n if Implications or NonImplications or Weak or Strong or ShowForm or Conservation or Restrict or OnlyPrimary or QueryFile:\n parser.error(u'Option -q does not work with any other option (except --force).')\nif QueryFile:\n if Implications or NonImplications or Weak or Strong or ShowForm or Conservation or Restrict or OnlyPrimary or Query:\n parser.error(u'Option -F does not work with any other option (except --force).')\n\nif len(args) > 1:\n parser.error(u'Too many arguments.')\nif len(args) > 0:\n databaseTitle = args[0]\nelse:\n eprint(u'No database title specified; defaulting to \"database\".')\n databaseTitle = 'database'\n\nif os.path.splitext(databaseTitle)[1] == '':\n databaseName = databaseTitle + os.extsep + 'dat'\nelse:\n databaseName = databaseTitle\n\n \n##################################################################################\n#\n# IMPORT AND ORGANIZE DATA\n#\n##################################################################################\n\neprint(u'Importing and organizing data...')\n\nclass VersionError(Exception):\n def __init__(self, targetVersion, actualVersion):\n super(VersionError, self).__init__(u'Version mismatch: found v{0}, targeting v{1}'.format(actualVersion, targetVersion))\n\nprinciples = {}\nimplies, notImplies = {}, {}\nconservative, nonConservative = {}, {}\nform = {}\nprimary, primaryIndex = {}, {}\njustify = {}\ndef getDatabase():\n return {'version': DatabaseVersion,\n 'principles': principles,\n 'implication': (implies, notImplies),\n 'conservation': (conservative, nonConservative),\n 'form': form,\n 'primary': (primary, primaryIndex),\n 'justify': justify}\n\nequivalent = defaultdict(set)\ndef setDatabase(database):\n if database['version'] != DatabaseVersion:\n raise VersionError(DatabaseVersion, database['version'])\n \n global principles\n principles = database['principles']\n \n global implies, notImplies\n implies, notImplies = database['implication']\n \n global equivalent\n for a in principles:\n for b in principles:\n for r in Reduction.list(implies[(a,b)] & implies[(b,a)]):\n equivalent[(a, r)].add(b)\n \n global conservative, nonConservative\n conservative, nonConservative = database['conservation']\n \n global form\n form = database['form']\n \n global primary, primaryIndex\n primary, primaryIndex = database['primary']\n \n global justify\n justify = database['justify']\n\ndef loadDatabase(databaseName, quiet=False):\n with open(databaseName, mode='rb') as databaseFile:\n compressedDatabase = databaseFile.read()\n pickledDatabase = zlib.decompress(compressedDatabase)\n setDatabase(pickle.loads(pickledDatabase))\nloadDatabase(databaseName)\n\ndef knownEquivalent(a, reduction, justification=True):\n if a in principles:\n if justification:\n return (a, None)\n else:\n return a\n \n splitA = a.split(u'+')\n if any((p not in principles) for p in splitA):\n if justification:\n return (None, None)\n else:\n return None\n \n aPrime = None\n for equiv in itertools.product(*(equivalent[(p, reduction)] for p in splitA)):\n aPrime = u'+'.join(sorted(set(equiv)))\n if aPrime in principles:\n if justification:\n equivJst = tuple((p, (reduction, u'<->'), q) for (p,q) in zip(splitA, equiv) if p != q)\n return (aPrime, equivJst)\n else:\n return aPrime\n \n if justification:\n return (None, None)\n else:\n return None\n \ndef queryDatabase(a, op, b, justification=True):\n if op[1] in (u'c', u'nc'):\n reduction = Reduction.RCA\n else:\n reduction = op[0]\n \n if justification:\n aPrime, aJst = knownEquivalent(a, reduction, justification)\n bPrime, bJst = knownEquivalent(b, reduction, justification)\n if aJst is not None:\n justify[(a, (reduction, u'<->'), aPrime)] = aJst\n if bJst is not None:\n justify[(b, (reduction, u'<->'), bPrime)] = bJst\n else:\n aPrime = knownEquivalent(a, reduction, justification)\n bPrime = knownEquivalent(b, reduction, justification)\n \n aKnown = aPrime is not None\n bKnown = bPrime is not None\n \n aConjunct = (not aKnown) and all((p in principles) for p in a.split(u'+'))\n bConjunct = (not bKnown) and all((p in principles) for p in b.split(u'+'))\n \n s = u''\n if not aKnown and not bKnown:\n s += u'{0} and {1} are unknown principles.'.format(a, b)\n elif not aKnown:\n s += u'{0} is an unknown principle.'.format(a)\n elif not bKnown:\n s += u'{0} is an unknown principle.'.format(b)\n if aConjunct and bConjunct:\n s += u'\\n\\tHOWEVER: {0} and {1} are conjunctions of known principles; try running with --force.'.format(a, b)\n elif aConjunct and bKnown:\n s += u'\\n\\tHOWEVER: {0} is a conjunction of known principles; try running with --force.'.format(a)\n elif bConjunct and aKnown:\n s += u'\\n\\tHOWEVER: {0} is a conjunction of known principles; try running with --force.'.format(b)\n if len(s) > 0: error(s)\n \n if (aPrime, op, bPrime) in justify:\n if not justification:\n return True\n else:\n r = []\n if a != aPrime or b != bPrime:\n r.append(u'\\n')\n if a != aPrime:\n r.append(u'NOTE: {0} is not a known principle, but is equivalent to {1}\\n'.format(a, aPrime))\n if b != bPrime:\n r.append(u'NOTE: {0} is not a known principle, but is equivalent to {1}\\n'.format(b, bPrime))\n \n if a != aPrime:\n r.append(printJustification((a, (reduction, u'<->'), aPrime), justify))\n if b != bPrime:\n r.append(printJustification((b, (reduction, u'<->'), bPrime), justify))\n r.append(printJustification((aPrime, op, bPrime), justify))\n return u''.join(r)\n else:\n return False\n\n##################################################################################\n#\n# IF RESTRICT OR QUERY: VALIDATE CLASS\n#\n##################################################################################\n\nif Restrict:\n \n for a in Restrict: # Give warnings if CLASS is not a subset of principles\n if a not in principles:\n error(+a+u' is not in the database.')\n\nif Omissions:\n Restrict = principles - Omissions\n\n##################################################################################\n#\n# IF QUERY: GIVE ANSWER\n#\n##################################################################################\n\nfrom pyparsing import *\n\nname = Word( alphas+\"_+^{}\\\\$\", alphanums+\"_+^{}$\\\\\")\n\n_reductionName = NoMatch()\nfor r in Reduction:\n if r != Reduction.none:\n _reductionName |= Literal(r.name)\nfor r in Reduction.alias:\n if r != u'':\n _reductionName |= Literal(r)\n_reductionType = _reductionName.setParseAction(lambda s,l,t: [Reduction.fromString(t[0])])\nreductionType = Optional(_reductionType, default=Reduction.RCA)\npostfixReductionType = Optional(Suppress(Literal(\"_\")) + _reductionType, default=Reduction.RCA)\n\nimplication = (reductionType + Literal(\"->\")) | (Literal(\"=>\") + postfixReductionType).setParseAction(lambda s,l,t: [t[1], \"->\"])\nnonImplication = (reductionType + Literal(\"-|>\")) | (Literal(\"=/>\") + postfixReductionType).setParseAction(lambda s,l,t: [t[1], \"-|>\"])\nequivalence = (reductionType + Literal(\"<->\")) | (Literal(\"<=>\") + postfixReductionType).setParseAction(lambda s,l,t: [t[1], \"<->\"])\n\nreduction = (Literal(\"<=\") + postfixReductionType).setParseAction(lambda s,l,t: [t[1], \"<=\"])\nnonReduction = (Literal(\"</=\") + postfixReductionType).setParseAction(lambda s,l,t: [t[1], \"</=\"])\n\n_formName = NoMatch()\nfor f in Form:\n if f != Form.none:\n _formName |= Literal(f.name)\nformType = _formName.setParseAction(lambda s,l,t: [Form.fromString(t[0])])\n\nconservation = formType + Literal(\"c\")\nnonConservation = (Literal(\"n\") + formType + Literal(\"c\")).setParseAction(lambda s,l,t: [t[1], \"nc\"])\n\noperator = implication | nonImplication | reduction | nonReduction | equivalence | conservation | nonConservation\n\nif Query:\n query = name + Group(operator) + name + StringEnd()\n Query = query.parseString(Query)\n \n op = Query[1]\n if not isString(op):\n op = tuple(op)\n a, op, b = standardizeFact(Query[0], op, Query[2])\n \n if not (a in principles and b in principles) and AddPrinciples:\n abort = False\n for p in a.split(u'+'):\n if p not in principles:\n abort = True\n break\n for p in b.split(u'+'):\n if p not in principles:\n abort = True\n break\n if not abort:\n eprint(u'Adding new principles...')\n import rmupdater\n rmupdater.setDatabase(getDatabase())\n if a not in principles:\n rmupdater.addPrinciple(a)\n if b not in principles:\n rmupdater.addPrinciple(b)\n rmupdater.principlesList = sorted(rmupdater.principles)\n rmupdater.deriveInferences(quiet=False)\n setDatabase(rmupdater.getDatabase())\n \n jst = queryDatabase(a, op, b)\n if jst:\n print(u'Justification for the fact \"{0}\":\\n{1}'.format(printFact(a, op, b), jst))\n else:\n print(u'\\nError: Unknown fact \"{0}\"'.format(printFact(a, op, b)))\n opp = None # opposite operation\n if op[1] == u'->':\n opp = (op[0], u'-|>')\n elif op[1] == u'-|>':\n opp = (op[0], u'->')\n elif op[1] == u'c':\n opp = (op[0], u'nc')\n elif op[1] == u'nc':\n opp = (op[0], u'c')\n \n if opp is not None:\n jst = queryDatabase(a, opp, b)\n if jst:\n print(u'CONTRADICTING fact known! Justification for the fact \"{0}\":\\n{1}'.format(printFact(a, opp, b), jst))\n if op[1] == u'<->':\n opp = (op[0], u'-|>')\n jst = queryDatabase(a, opp, b)\n if jst:\n print(u'CONTRADICTING fact known! Justification for the fact \"{0}\":\\n{1}'.format(printFact(a, opp, b), jst))\n else:\n jst = queryDatabase(b, opp, a)\n if jst:\n print(u'CONTRADICTING fact known! Justification for the fact \"{0}\":\\n{1}'.format(printFact(b, opp, a), jst))\n\nif QueryFile:\n parenth = Literal('\"')\n justification = QuotedString('\"\"\"',multiline=True) | quotedString.setParseAction(removeQuotes)\n \n fact = name + ((Group(operator) + name + Suppress(Optional(justification))) | (Literal('form') + formType) | (Literal('is') + Literal('primary')))\n \n queries = []\n with open(QueryFile, encoding='utf-8') as f:\n for q in f.readlines():\n q = q.strip()\n if len(q) == 0 or q[0] == u'#': continue\n \n Q = fact.parseString(q)\n if Q[1] == u'is' and Q[2] == u'primary': continue\n \n a,op,b = Q\n if not isString(op):\n op = tuple(op)\n a,op,b = standardizeFact(a, op, b)\n \n queries.append((a, op, b, q))\n \n if AddPrinciples:\n newPrinciples = set()\n unknownPrinciples = set()\n for (a, op, b, q) in queries:\n unknown = False\n \n Q = a.split(u'+')\n if op != u'form':\n Q.extend(b.split(u'+'))\n for p in Q:\n if p not in principles:\n unknownPrinciples.add(p)\n unknown = True\n if not unknown:\n if a not in principles: newPrinciples.add(a)\n if op != u'form' and b not in principles: newPrinciples.add(b)\n \n if len(unknownPrinciples) > 0:\n warning(u'Unknown principles: {0}\\n'.format(u', '.join(sorted(unknownPrinciples))))\n if len(newPrinciples) > 0:\n eprint(u'Adding {0:,d} new principles...'.format(len(newPrinciples)))\n import rmupdater\n rmupdater.setDatabase(getDatabase())\n for p in newPrinciples:\n rmupdater.addPrinciple(p)\n rmupdater.principlesList = sorted(rmupdater.principles)\n rmupdater.deriveInferences(quiet=False)\n setDatabase(rmupdater.getDatabase())\n \n for (a, op, b, q) in queries:\n s = u''\n known = False\n if op == u'form':\n known = Form.isPresent(b, form[a])\n else:\n try:\n known = queryDatabase(a, op, b, justification=False)\n except Exception as e:\n s += u'\\n' + str(e)\n \n if not known:\n s += u'\\nUnknown fact: ' + q\n \n if len(s) > 0:\n warning(s)\n eprint(u'\\nFinished.')\n\n##################################################################################\n#\n# IF RESTRICT: DELETE PRINCIPLES NOT IN CLASS\n#\n##################################################################################\n\nif Restrict:\n principles &= Restrict\n \n##################################################################################\n#\n# IF DIAGRAM: REMOVE REDUNDANT IMPLICATIONS AND NON-IMPLICATIONS \n#\n##################################################################################\n\nif Implications or NonImplications or Weak or Strong:\n\n eprint(u'Removing redundant facts for clarity...')\n \n # Create print versions of functions\n \n simpleImplies = defaultdict(bool)\n printImplies = defaultdict(bool)\n \n simpleNotImplies = defaultdict(bool)\n printNotImplies = defaultdict(bool)\n \n equivalent = defaultdict(bool)\n \n simpleConservative = defaultdict(noForm)\n printConservative = defaultdict(noForm)\n \n printWeakOpen = defaultdict(bool)\n printStrongOpen = defaultdict(bool)\n \n for a in principles:\n for b in principles:\n if a == b: # Remove self-relations to not confuse DOT reader\n continue\n \n simpleImplies[(a,b)] = Reduction.isPresent(Reducibility, implies[(a,b)])\n printImplies[(a,b)] = simpleImplies[(a,b)]\n \n simpleNotImplies[(a,b)] = Reduction.isPresent(Reducibility, notImplies[(a,b)])\n printNotImplies[(a,b)] = simpleNotImplies[(a,b)]\n \n if simpleImplies[(a,b)] and simpleImplies[(b,a)]:\n equivalent[(a,b)] = True\n equivalent[(b,a)] = True\n \n simpleConservative[(a,b)] = conservative[(a,b)]\n printConservative[(a,b)] = simpleConservative[(a,b)]\n \n # Assign primaries and make them unique\n \n for a in sorted(principles):\n currentPrimary = a\n found = False\n toRemove = set()\n for b in primaryIndex:\n if currentPrimary == b:\n found = True\n continue\n if equivalent[(currentPrimary,b)]:\n if found:\n toRemove.add(b)\n else:\n if currentPrimary in primary:\n toRemove.add(currentPrimary)\n currentPrimary = b\n found = True\n if currentPrimary not in primary:\n primary.add(currentPrimary)\n primaryIndex.append(currentPrimary)\n for x in toRemove:\n primaryIndex.remove(x)\n primary.difference_update(toRemove)\n \n for a in principles: # Remove facts involving non-primary principles\n if a not in primary:\n for b in principles:\n printImplies[(a,b)] = False\n printImplies[(b,a)] = False\n \n printNotImplies[(a,b)] = False\n printNotImplies[(b,a)] = False\n \n printConservative[(a,b)] = Form.none\n\n # Remove redundant implications\n \n for a in primary:\n for b in primary:\n for c in primary: # Remove implications obtained by transitivity\n if simpleImplies[(b,a)] and simpleImplies[(a,c)]:\n printImplies[(b,c)] = False\n\n # Remove redundant non-implications\n\n for a in primary:\n for b in primary:\n if b == a: continue\n for c in primary:\n if c == a or c == b: continue\n \n if simpleNotImplies[(a,c)] and simpleImplies[(b,c)]: # If a -|> c, but b -> c, then a -|> b.\n printNotImplies[(a,b)] = False\n if simpleImplies[(c,a)] and simpleNotImplies[(c,b)]: # If c -> a, but c -|> b, then a -|> b.\n printNotImplies[(a,b)] = False\n \n # Remove redundant conservation facts\n\n for a in primary: # Remove conservation results obtained by transitivity\n for b in primary:\n if b == a: continue\n for c in primary:\n if c == a or c == b: continue\n \n if simpleImplies[(a,b)]:\n printConservative[(b,c)] &= ~simpleConservative[(a,c)]\n if simpleImplies[(b,c)]:\n printConservative[(a,b)] &= ~simpleConservative[(a,c)]\n \n # Generate open implications\n\n for a in primary:\n for b in primary:\n if b == a: continue\n \n if not simpleImplies[(a,b)] and not simpleNotImplies[(a,b)]:\n printWeakOpen[(a,b)] = True\n printStrongOpen[(a,b)] = True\n\n for a in primary:\n for b in primary:\n if b == a: continue\n for c in primary:\n if c == a or c == b: continue\n \n if simpleImplies[(c,a)] and not simpleImplies[(c,b)] and not simpleNotImplies[(c,b)]: # c -> a, c ? b\n printWeakOpen[(a,b)] = False\n if simpleImplies[(c,a)] and not simpleImplies[(b,a)] and not simpleNotImplies[(b,a)]: # c -> a, b ? a\n printWeakOpen[(b,c)] = False\n \n if simpleImplies[(a,c)] and not simpleImplies[(c,b)] and not simpleNotImplies[(c,b)]: # a -> c, c ? b\n printStrongOpen[(a,b)] = False\n if simpleImplies[(a,c)] and not simpleImplies[(b,a)] and not simpleNotImplies[(b,a)]: # a -> c, b ? a\n printStrongOpen[(b,c)] = False\n \n # Find all equivalent principles\n \n equivSet = defaultdict(set)\n for a in primary:\n for b in principles:\n if equivalent[(a,b)]:\n equivSet[a].add(b)\n \n##################################################################################\n#\n# IF DIAGRAM: PRINT OUT THE DOT FILE\n#\n################################################################################## \n\nif Implications or NonImplications or Weak or Strong or ShowForm or Conservation:\n\n eprint(u'Printing DOT file...')\n eprint(\"\\tDiagram contains {0} non-equivalent principles.\".format(len(primary)))\n\n print(\"\"\"//\n// RM Zoo (v\"\"\" + Version + \"\"\")\n//\n\ndigraph G {\n\ngraph [\n rankdir = TB // put stronger principles higher up\n ranksep = 1.5\n ]\n\n//\n// Node Styles\n//\n\nnode [shape=none,color=white];\n\n//\n// Data\n//\"\"\")\n\n if Implications:\n \n for a in primary:\n for b in primary:\n if printImplies[(a,b)]:\n style = []\n if printNotImplies[(b,a)] and not NonImplications:\n style.append(u'color = \"black:white:black\"')\n if len(equivSet[a]) > 0 and not OnlyPrimary:\n style.append(u'minlen = 2')\n s = u''\n if len(style) > 0:\n s = u' [{0}]'.format(u', '.join(style))\n print(u'\" {0} \" -> \" {1} \"{2}'.format(a,b,s))\n \n if NonImplications:\n \n for a in primary:\n for b in primary:\n if printNotImplies[(a,b)]:\n print(u'\" {0} \" -> \" {1} \" [color = \"red\"]'.format(a,b))\n \n if not OnlyPrimary:\n for a in primary:\n for b in equivSet[a]:\n print(u'\" {0} \" -> \" {1} \" [dir = both]'.format(a,b))\n \n if Weak:\n for a in primary:\n for b in primary:\n if printWeakOpen[(a,b)]:\n print(u'\" {0} \" -> \" {1} \" [color = \"green\"]'.format(a,b))\n \n if Strong:\n for a in primary:\n for b in primary:\n if printStrongOpen[(a,b)]:\n print(u'\" {0} \" -> \" {1} \" [color = \"orange\"]'.format(a,b))\n \n if ShowForm:\n for a in principles:\n if a in form:\n if form[a] != Form.none:\n print(u'\" {0} \" [shape=box, style=filled, fillcolor={1}]'.format(a, _FORM_COLOR[form[a]]))\n \n \n if Conservation:\n for a in primary:\n for b in primary:\n if a == b: continue\n \n if printConservative[(a,b)] != Form.none:\n print(u'\" {0} \" -> \" {1} \" [color = \"{2}\"]'.format(a,b, _CONS_COLOR[printConservative[(a,b)]]))\n\n print(u'}')\n eprint(u'Finished.')\n\n"}],"string":"[\n {\n \"alpha_fraction\": 0.5104838013648987,\n \"alphanum_fraction\": 0.5156267881393433,\n \"avg_line_length\": 35.939456939697266,\n \"blob_id\": \"0aa0d7ab9268a380a158daa5bb6d2cf136bc2975\",\n \"content_id\": \"960178b8199baa746f5d9acf67df94b5ea86dbd3\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 35388,\n \"license_type\": \"permissive\",\n \"max_line_length\": 154,\n \"num_lines\": 958,\n \"path\": \"/rmupdater.py\",\n \"repo_name\": \"TonichaC/rmzoo\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#! /usr/bin/env python\\n\\n##################################################################################\\n#\\n# The Reverse Mathematics Zoo Updater\\n# by Damir Dzhafarov\\n# - Version 1.0 started August, 2010\\n# - Version 2.0 started August, 2013\\n# Revised by Eric Astor\\n# - Version 3.0 - 29 May 2016\\n# - Version 4.0 - started 30 May 2016\\n# - Version 4.1 - optimizations & refactoring, started 2 July 2016\\n# - Version 4.2 - new forms and reasoning, started 12 July 2016\\n# - Version 4.3 - changed internal representations, started 21 July 2016\\n# - Version 4.4 - moved to a shelf database, started 25 July 2016\\n# - Version 5.0 - clean implementation of inference rules, started 1 August 2016\\n# - Version 5.1 - reverted from shelf database for cross-platform compatibility, started 16 August 2016\\n# Documentation and support: http://rmzoo.uconn.edu\\n#\\n##################################################################################\\n\\nfrom __future__ import print_function\\n\\nimport itertools\\nimport sys\\nimport \\n\\nfrom io import open\\nfrom collections import defaultdict\\n\\nfrom version_guard import isString, lru_cache\\n\\nimport zlib\\ntry:\\n import cPickle as pickle\\nexcept:\\n import pickle\\n\\ndef eprint(*args, **kwargs):\\n print(*args, file=sys.stderr, **kwargs)\\n\\nDate = u'16 August 2016'\\nVersion = u'5.1'\\nDatabaseVersion = u'5.1'\\n\\nversion, versionPoint = sys.version_info[0:2]\\nif version >= 3 and versionPoint >= 3:\\n timekeeper = time.perf_counter\\nelse:\\n timekeeper = time.clock\\n\\nfrom rmBitmasks import *\\nfrom renderJustification import *\\n\\nRCAprinciple = u'RCA'\\n\\nprinciplesList = [RCAprinciple]\\nprinciples = set(principlesList)\\n\\ndef addPrinciple(a):\\n setA = set(a.split(u'+'))\\n a = u'+'.join(sorted(setA))\\n principles.add(a)\\n principles.update(setA)\\n return a\\n\\nconjunction = {}\\ndef joinPrinciples(a, b):\\n try:\\n return conjunction[a,b]\\n except KeyError:\\n p = u'+'.join(sorted(set(a.split(u'+')) | set(b.split(u'+'))))\\n if p not in principles:\\n p = None\\n conjunction[a,b] = p\\n conjunction[b,a] = p\\n return p\\n\\nequivalent = defaultdict(noReduction)\\nimplies = defaultdict(noReduction)\\nnotImplies = defaultdict(noReduction)\\n\\ndef addEquivalent(a,reduction,b):\\n equivalent[a,b] |= Reduction.weaker(reduction)\\n\\ndef addReduction(a,reduction,b):\\n implies[a,b] |= Reduction.weaker(reduction)\\n\\ndef addNonReduction(a,reduction,b):\\n notImplies[a,b] |= Reduction.stronger(reduction)\\n\\nconservative = defaultdict(noForm)\\nnonConservative = defaultdict(noForm)\\n\\ndef addConservative(a,frm,b):\\n conservative[a,b] |= Form.stronger(frm)\\n\\ndef addNonConservative(a,frm,b):\\n nonConservative[a,b] |= Form.weaker(frm)\\n\\nform = defaultdict(noForm)\\n\\nprimary = set()\\nprimaryIndex = []\\n\\ndef addForm(a, frm):\\n form[a] |= Form.weaker(frm)\\n\\ndef addPrimary(a):\\n primary.add(a)\\n primaryIndex.append(a)\\n\\njustify = {}\\njustComplexity = {}\\n\\ndef updateJustification(fact, jst, cplx):\\n try:\\n if cplx >= justComplexity[fact]:\\n return False\\n except KeyError:\\n pass\\n justify[fact] = jst\\n justComplexity[fact] = cplx\\n return True\\n\\ndef unoptimizedJustification(fact, jst, cplx):\\n if fact in justify:\\n return False\\n else:\\n justify[fact] = jst\\n return True\\n\\nclass UnjustifiedFactError(Exception):\\n def __init__(self, a, op, b):\\n super(UnjustifiedFactError, self).__init__(u'The fact \\\"{0}\\\" is not justified.'.format(printFact(a, op, b)))\\n\\ndef addUnjustified(a, op, b):\\n raise UnjustifiedFactError(a, op, b)\\n\\nclass ContradictionError(Exception):\\n def __init__(self, fact1, fact2):\\n super(ContradictionError, self).__init__(u'The following facts are contradictory:\\\\n\\\\n' +\\n printJustification(fact1, justify) + u'\\\\n\\\\n' +\\n printJustification(fact2, justify))\\n\\n# Noted side-effects:\\n# Changing '<->' can affect '->'\\n# Changing '->' can affect 'c' and '<->'\\n# Changing 'c' can affect '->'\\n# Changing '-|>' can affect 'nc'\\n# Changing 'nc' can affect '-|>'\\ndef addFact(a, op, b, jst, cplx):\\n fact = (a, op, b)\\n if not updateJustification(fact, jst, cplx):\\n return False\\n opCtx,opCore = op\\n \\n ref = (fact,)\\n refCplx = 1 + cplx\\n \\n if opCore == u'<->': # equivalence\\n # Symmetry:\\n # IF (a X<-> b), THEN (b X<-> a).\\n updateJustification((b, op, a), jst, cplx)\\n \\n for x in Reduction.list(Reduction.weaker(opCtx)):\\n newOp = (x, u'<->')\\n \\n addEquivalent(a, x, b)\\n updateJustification((a, newOp, b), ref, refCplx)\\n \\n # Symmetry:\\n # IF (a X<-> b), THEN (b X<-> a).\\n addEquivalent(b, x, a)\\n updateJustification((b, newOp, a), ref, refCplx)\\n \\n # Definition of equivalence:\\n # IF (a X<-> b), THEN (a X-> b) AND (b X-> a).\\n impliesOp = (opCtx, u'->')\\n addFact(a, impliesOp, b, (fact,), refCplx)\\n addFact(b, impliesOp, a, (fact,), refCplx)\\n elif opCore == u'->': # implication\\n for x in Reduction.list(Reduction.weaker(opCtx)):\\n addReduction(a, x, b)\\n updateJustification((a, (x, u'->'), b), ref, refCplx)\\n \\n if Reduction.isPresent(x, notImplies[a,b]):\\n raise ContradictionError((a, (x, u'->'), b), (a, (x, u'-|>'), b))\\n \\n if x == Reduction.RCA:\\n if x == opCtx:\\n newRef = ref\\n newRefCplx = refCplx\\n else:\\n newRef = ((a, (x, u'->'), b),)\\n newRefCplx = 1 + refCplx\\n \\n # Trivial conservation:\\n # IF (a RCA-> b), THEN (b Fc a).\\n for f in Form:\\n if f != Form.none:\\n addFact(b, (f, u'c'), a, newRef, newRefCplx)\\n \\n # Definition of conjunction (special case):\\n # IF (a X-> b), THEN (a X<-> a+b).\\n ab = joinPrinciples(a,b)\\n if ab is not None:\\n addFact(a, (opCtx, u'<->'), ab, ref, refCplx)\\n elif opCore == u'-|>': # non-implication\\n for x in Reduction.list(Reduction.stronger(opCtx)):\\n addNonReduction(a, x, b)\\n updateJustification((a, (x, u'-|>'), b), ref, refCplx)\\n \\n if Reduction.isPresent(x, implies[a,b]):\\n raise ContradictionError((a, (x, u'-|>'), b), (a, (x, u'->'), b))\\n \\n if x == Reduction.RCA:\\n if x == opCtx:\\n newFact = fact\\n newCplx = 1 + refCplx\\n else:\\n newFact = (a, (x, u'-|>'), b)\\n newCplx = 2 + refCplx\\n \\n # Definition of non-conservation (special case):\\n # IF (a RCA-|> b) AND (b form F), THEN (b nFc a).\\n for f in Form.list(form[b]):\\n addFact(b, (f, u'nc'), a, (newFact, (b, u'form', f)), newCplx)\\n elif opCore == u'c': # conservation\\n for f in Form.list(Form.stronger(opCtx)):\\n newFact = (a, (f, u'c'), b)\\n \\n addConservative(a, f, b)\\n updateJustification(newFact, ref, refCplx)\\n \\n if Form.isPresent(f, nonConservative[a,b]):\\n raise ContradictionError((a, (f, u'c'), b), (a, (f, u'nc'), b))\\n \\n # Definition of conservation (special case):\\n # IF (a Fc b) AND (a form F), THEN (b RCA-> a).\\n if Form.isPresent(f, form[a]):\\n if f == opCtx:\\n newCplx = 1 + refCplx\\n else:\\n newCplx = 2 + refCplx\\n \\n addFact(b, (Reduction.RCA, u'->'), a, (newFact, (a, u'form', f)), newCplx)\\n elif opCore == u'nc': # non-conservation\\n for f in Form.list(Form.weaker(opCtx)):\\n addNonConservative(a, f, b)\\n updateJustification((a, (f, u'nc'), b), ref, refCplx)\\n \\n if Form.isPresent(f, conservative[a,b]):\\n raise ContradictionError((a, (f, u'nc'), b), (a, (f, u'c'), b))\\n \\n # Trivial conservation (contrapositive):\\n # IF (a nFc b), THEN (b RCA-|> a).\\n addFact(b, (Reduction.RCA, u'-|>'), a, ref, refCplx)\\n else:\\n raise ValueError(u'Unrecognized operator: ' + opCore)\\n \\n return True\\n\\ndef standardizePrinciple(a):\\n return u'+'.join(sorted(set(a.split(u'+'))))\\ndef standardizeFact(a, op, b):\\n a = standardizePrinciple(a)\\n if op != u'form':\\n b = standardizePrinciple(b)\\n if op[1] == u'<=':\\n op = (op[0], u'->')\\n a,b = b,a\\n elif op[1] == u'</=':\\n op = (op[0], u'-|>')\\n a,b = b,a\\n return a, op, b\\n\\nfrom pyparsing import *\\ndef parseResults(resultsString, quiet=False):\\n start = timekeeper()\\n if not quiet: eprint(u'Parsing results...')\\n # Name parsed strings\\n name = Word( alphas+\\\"_+^{}\\\\\\\\$\\\", alphanums+\\\"_+^{}$\\\\\\\\\\\").setParseAction(lambda s,l,t: addPrinciple(t[0]))\\n \\n parenth = Literal('\\\"')\\n justification = QuotedString('\\\"\\\"\\\"',multiline=True) | quotedString.setParseAction(removeQuotes)\\n \\n _reductionName = NoMatch()\\n for r in Reduction:\\n if r != Reduction.none:\\n _reductionName |= Literal(r.name)\\n for r in Reduction.alias:\\n if r != u'':\\n _reductionName |= Literal(r)\\n _reductionType = _reductionName.setParseAction(lambda s,l,t: [Reduction.fromString(t[0])])\\n reductionType = Optional(_reductionType, default=Reduction.RCA)\\n postfixReductionType = Optional(Suppress(Literal(\\\"_\\\")) + _reductionType, default=Reduction.RCA)\\n \\n implication = (reductionType + Literal(\\\"->\\\")) | (Literal(\\\"=>\\\") + postfixReductionType).setParseAction(lambda s,l,t: [t[1], \\\"->\\\"])\\n nonImplication = (reductionType + Literal(\\\"-|>\\\")) | (Literal(\\\"=/>\\\") + postfixReductionType).setParseAction(lambda s,l,t: [t[1], \\\"-|>\\\"])\\n equivalence = (reductionType + Literal(\\\"<->\\\")) | (Literal(\\\"<=>\\\") + postfixReductionType).setParseAction(lambda s,l,t: [t[1], \\\"<->\\\"])\\n \\n reduction = (Literal(\\\"<=\\\") + postfixReductionType).setParseAction(lambda s,l,t: [t[1], \\\"<=\\\"])\\n nonReduction = (Literal(\\\"</=\\\") + postfixReductionType).setParseAction(lambda s,l,t: [t[1], \\\"</=\\\"])\\n \\n _formName = NoMatch()\\n for f in Form:\\n if f != Form.none:\\n _formName |= Literal(f.name)\\n formType = _formName.setParseAction(lambda s,l,t: [Form.fromString(t[0])])\\n \\n conservation = formType + Literal(\\\"c\\\")\\n nonConservation = (Literal(\\\"n\\\") + formType + Literal(\\\"c\\\")).setParseAction(lambda s,l,t: [t[1], \\\"nc\\\"])\\n \\n operator = implication | nonImplication | reduction | nonReduction | equivalence | conservation | nonConservation\\n \\n # Results file lines\\n unjustified = (name + Group(operator) + name + ~justification).setParseAction(lambda s,l,t: addUnjustified(*standardizeFact(t[0], tuple(t[1]), t[2])))\\n \\n factsToAdd = []\\n def _addFactParseAction(s,l,t):\\n a,op,b = standardizeFact(t[0], tuple(t[1]), t[2])\\n factsToAdd.append(((a, op, b), t[3]))\\n fact = (name + Group(operator) + name + justification).setParseAction(_addFactParseAction)\\n\\n formDef = (name + Literal(\\\"form\\\") + formType).setParseAction(lambda s,l,t: addForm(t[0], t[2]))\\n primary = (name + Literal(\\\"is primary\\\")).setParseAction(lambda s,l,t: addPrimary(t[0]))\\n \\n comments = Suppress(Literal( \\\"#\\\" ) + SkipTo(LineEnd()))\\n \\n # Represent and parse results file\\n entry = fact | formDef | primary | unjustified | comments\\n results = ZeroOrMore( entry ) + StringEnd()\\n \\n results.parseString(resultsString)\\n \\n global principlesList\\n principlesList = sorted(principles)\\n \\n for (a, op, b), jst in factsToAdd:\\n addFact(a, op, b, jst, 1)\\n \\n if not quiet: eprint(u'Principles found: {0:,d}'.format(len(principlesList)))\\n if not quiet: eprint(u'Elapsed: {0:.6f} s\\\\n'.format(timekeeper() - start))\\n\\n# General fact; uses nothing, affects '<->', '->', and 'c'\\ndef addReflexivities():\\n for a in principlesList:\\n for x in Reduction:\\n if x == Reduction.none: continue\\n \\n # (a X-> a)\\n addFact(a, (x, u'<->'), a, u'reflexivity', 1)\\n \\n # (a X<-> a)\\n addFact(a, (x, u'->'), a, u'reflexivity', 1)\\n \\n for f in Form:\\n if f == Form.none: continue\\n \\n # (a Fc a)\\n addFact(a, (f, u'c'), a, u'reflexivity', 1)\\n\\n# General fact; uses nothing, affects '->'\\ndef addRCABottom():\\n # (a X-> RCA)\\n for a in principlesList:\\n for x in Reduction:\\n if x == Reduction.none: continue\\n \\n addFact(a, (x, u'->'), RCAprinciple, u'', 1)\\n\\n# General fact; uses nothing, affects '->'\\ndef definitionOfConjunction():\\n # IF (a == b+...), THEN (a X-> b).\\n for a in principlesList:\\n splitA = set(a.split(u'+'))\\n if len(splitA) == 1: continue\\n \\n for b in principlesList:\\n if b == a: continue\\n \\n splitB = set(b.split(u'+'))\\n if splitB <= splitA:\\n for x in Reduction:\\n if x == Reduction.none: continue\\n \\n addFact(a, (x, u'->'), b, u'', 1)\\n\\n# Uses '->', affects '<->'\\ndef definitionOfEquivalence():\\n #a X<-> b\\n #WHEN\\n # (a X-> b) AND (b X-> a)\\n \\n r = False\\n for a,b in itertools.combinations(principlesList, 2):\\n equiv = implies[a,b] & implies[b,a]\\n \\n if equiv != Reduction.none:\\n for x in Reduction.list(equiv):\\n imp = (x, u'->')\\n aImpB = (a, imp, b)\\n bImpA = (b, imp, a)\\n \\n r |= addFact(a, (x, u'<->'), b,\\n (aImpB, bImpA), 1 + justComplexity[aImpB] + justComplexity[bImpA])\\n return r\\n\\n# Uses array, affects array\\ndef transitiveClosure(array, opName, clsCtx):\\n # Complete (current) transitive closure of array, using Floyd-Warshall\\n \\n r = False\\n for c in principlesList:\\n for a in principlesList:\\n if a == c: continue\\n \\n acRelation = array[a,c]\\n if acRelation == clsCtx.none: continue\\n \\n for b in principlesList:\\n if b == a or b == c: continue\\n \\n transitive = acRelation & array[c,b]\\n if transitive == clsCtx.none: continue\\n \\n for x in clsCtx.list(transitive):\\n op = (x, opName)\\n aOpC = (a, op, c)\\n cOpB = (c, op, b)\\n \\n r |= addFact(a, op, b,\\n (aOpC, cOpB), 1 + justComplexity[aOpC] + justComplexity[cOpB])\\n return r\\n\\n# Uses '->', affects '->'\\ndef unifyOverConjunctions():\\n #a X-> b\\n #WHEN\\n # (b == c+d) AND (a X-> c) AND (a X-> d) \\\"Definition of conjunction\\\"\\n \\n r = False\\n for b in principlesList:\\n splitB = b.split(u'+')\\n if len(splitB) == 1: continue # b is not a conjunction\\n \\n for a in principlesList:\\n aImpliesAll = ~Reduction.none\\n for p in splitB:\\n aImpliesAll &= implies[a,p]\\n if aImpliesAll == Reduction.none: continue\\n \\n for x in Reduction.list(aImpliesAll):\\n aImpConjuncts = tuple([(a, (x, u'->'), t) for t in splitB])\\n r |= addFact(a, (x, u'->'), b,\\n aImpConjuncts, 1 + sum(justComplexity[aImpX] for aImpX in aImpConjuncts))\\n return r\\n\\n#REDUNDANT\\n# Uses 'c' and '->', affects '->'\\ndef definitionOfConservation():\\n #a RCA-> b\\n #WHEN\\n # (c Fc a) AND (c RCA-> b) AND (b has form F) \\\"Definition of conservation\\\"\\n \\n r = False\\n for c in principlesList:\\n for b in principlesList:\\n if b == c: continue\\n \\n if Reduction.isPresent(Reduction.RCA, implies[c,b]):\\n formB = form[b]\\n if formB == Form.none: continue\\n \\n cImpB = (c, (Reduction.RCA, u'->'), b)\\n refCplxCB = 2 + justComplexity[cImpB]\\n \\n for a in principlesList:\\n if a == b or a == c: continue\\n \\n frms = formB & conservative[c,a]\\n if frms == Form.none: continue\\n \\n for f in Form.list(frms):\\n cConsA = (c, (f, u'c'), a)\\n \\n r |= addFact(a, (Reduction.RCA, u'->'), b,\\n (cConsA, cImpB, (b, u'form', f)), refCplxCB + justComplexity[cConsA])\\n return r\\n\\n# Uses posArray and negArray, affects negArray\\ndef contrapositiveTransitivity(posArray, posOpName, negArray, negOpName, clsCtx):\\n r = False\\n for c in principlesList:\\n for a in principlesList:\\n if a == c: continue\\n \\n #a nop b\\n #WHEN\\n # (c op a) AND (c nop b)\\n caRelation = posArray[c,a]\\n if caRelation != clsCtx.none:\\n for b in principlesList:\\n if b == a or b == c: continue\\n \\n contexts = caRelation & negArray[c,b]\\n if contexts == clsCtx.none: continue\\n \\n for ctx in clsCtx.list(contexts):\\n nop = (ctx, negOpName)\\n \\n cOpA = (c, (ctx, posOpName), a)\\n cNOpB = (c, nop, b)\\n \\n r |= addFact(a, nop, b,\\n (cOpA, cNOpB), 1 + justComplexity[cOpA] + justComplexity[cNOpB])\\n \\n #a nop b\\n #WHEN\\n # (a nop c) AND (b op c)\\n acNRelation = negArray[a,c]\\n if acNRelation != clsCtx.none:\\n for b in principlesList:\\n if b == a or b == c: continue\\n \\n contexts = acNRelation & posArray[b,c]\\n if contexts == clsCtx.none: continue\\n \\n for ctx in clsCtx.list(contexts):\\n nop = (ctx, negOpName)\\n \\n aNOpC = (a, nop, c)\\n bOpC = (b, (ctx, posOpName), c)\\n \\n r |= addFact(a, nop, b,\\n (aNOpC, bOpC), 1 + justComplexity[aNOpC] + justComplexity[bOpC])\\n return r\\n\\n# Uses '->' and '-|>', affects '-|>'\\ndef contrapositiveConjunction():\\n #a X-|> b\\n #WHEN\\n # (a X-> c) AND (a X-|> b+c)\\n \\n r = False\\n for c in principlesList:\\n for b in principlesList:\\n if b == c: continue\\n \\n bc = joinPrinciples(b,c)\\n if bc is None: continue\\n \\n for a in principlesList:\\n if a == b: continue\\n \\n if a == c: # Special-case\\n reds = notImplies[a,bc]\\n if reds == Reduction.none: continue\\n \\n for x in Reduction.list(reds):\\n notImp = (x, u'-|>')\\n \\n aNotImpBC = (a, notImp, bc)\\n \\n r |= addFact(a, notImp, b,\\n (aNotImpBC,), 1 + justComplexity[aNotImpBC])\\n else:\\n reds = implies[a,c] & notImplies[a,bc]\\n if reds == Reduction.none: continue\\n \\n for x in Reduction.list(reds):\\n notImp = (x, u'-|>')\\n \\n aImpC = (a, (x, u'->'), c)\\n aNotImpBC = (a, notImp, bc)\\n \\n r |= addFact(a, notImp, b,\\n (aImpC, aNotImpBC), 1 + justComplexity[aImpC] + justComplexity[aNotImpBC])\\n return r\\n\\n#REDUNDANT\\n# Uses 'c' and '-|>', affects '-|>'\\ndef contrapositiveConservation(): \\n #a RCA-|> b\\n #WHEN\\n # (a Fc c) AND (c RCA-|> b) AND (b has form F)\\n notImp = (Reduction.RCA, u'-|>')\\n \\n r = False\\n for c in principlesList:\\n for b in principlesList:\\n if b == c: continue\\n \\n if Reduction.isPresent(Reduction.RCA, notImplies[c,b]):\\n formB = form[b]\\n if formB == Form.none: continue\\n \\n cNotImpB = (c, notImp, b)\\n refCplxCB = 2 + justComplexity[cNotImpB]\\n \\n for a in principlesList:\\n if a == b or a == c: continue\\n \\n frms = conservative[a,c] & formB\\n if frms == Form.none: continue\\n \\n for f in Form.list(frms):\\n aConsC = (a, (f, u'c'), c)\\n \\n r |= addFact(a, notImp, b,\\n (aConsC, cNotImpB, (b, u'form', f)), justComplexity[aConsC] + refCplxCB)\\n return r\\n\\n#REDUNDANT\\n# Uses 'c' and '->', affects 'c'\\ndef liftConservation():\\n r = False\\n for c in principlesList:\\n #a Fc b\\n #WHEN\\n # (c RCA-> a) AND (c Fc b) [aka \\\"Weaker principles prove less\\\"]\\n for a in principlesList:\\n if a == c: continue\\n \\n if Reduction.isPresent(Reduction.RCA, implies[c,a]):\\n cImpA = (c, (Reduction.RCA, u'->'), a)\\n refCplxCA = 1 + justComplexity[cImpA]\\n \\n for b in principlesList:\\n if b == a or b == c: continue\\n \\n for f in Form.list(conservative[c,b]):\\n fc = (f, u'c')\\n cConsB = (c, fc, b)\\n \\n r |= addFact(a, fc, b,\\n (cImpA, cConsB), refCplxCA + justComplexity[cConsB])\\n \\n #a Fc b\\n #WHEN\\n # (a Fc c) AND (b RCA-> c) [aka \\\"Stronger principles prove more\\\"]\\n for b in principlesList:\\n if b == c: continue\\n \\n if Reduction.isPresent(Reduction.RCA, implies[b,c]):\\n bImpC = (b, (Reduction.RCA, u'->'), c)\\n refCplxBC = 1 + justComplexity[bImpC]\\n \\n for a in principlesList:\\n if a == b or a == c: continue\\n \\n for f in Form.list(conservative[a,c]):\\n fc = (f, u'c')\\n aConsC = (a, fc, c)\\n \\n r |= addFact(a, fc, b,\\n (aConsC, bImpC), justComplexity[aConsC] + refCplxBC)\\n return r\\n\\n#REDUNDANT\\n# Uses '->' and '-|>', affects 'nc'\\ndef definitionOfNonConservation():\\n #a nFc b\\n #WHEN\\n # (a RCA-> c) AND (b RCA-|> c) AND (c has form F)\\n r = False\\n for c in principlesList:\\n formC = form[c]\\n if formC == Form.none: continue\\n cForms = Form.list(formC)\\n \\n for a in principlesList:\\n if a == c: continue\\n \\n if Reduction.isPresent(Reduction.RCA, implies[a,c]):\\n aImpC = (a, (Reduction.RCA, u'->'), c)\\n refCplxAC = 2 + justComplexity[aImpC]\\n \\n for b in principlesList:\\n if b == a or b == c: continue\\n \\n if Reduction.isPresent(Reduction.RCA, notImplies[b,c]):\\n bNotImpC = (b, (Reduction.RCA, u'-|>'), c)\\n \\n cplx = refCplxAC + justComplexity[bNotImpC]\\n \\n for f in cForms:\\n r |= addFact(a, (f, u'nc'), b,\\n (aImpC, bNotImpC, (c, u'form', f)), cplx)\\n return r\\n\\n#REDUNDANT\\n# Uses 'nc' and '->', affects 'nc'\\ndef liftNonConservation():\\n imp = (Reduction.RCA, u'->')\\n \\n r = False\\n for c in principlesList:\\n #a nFc b\\n #WHEN\\n # (a nFc c) AND (c RCA-> b) [aka \\\"Weaker principles prove less (contrapositive)\\\"]\\n for b in principlesList:\\n if b == c: continue\\n \\n if Reduction.isPresent(Reduction.RCA, implies[c,b]):\\n cImpB = (c, imp, b)\\n refCplxCB = 1 + justComplexity[cImpB]\\n \\n for a in principlesList:\\n if a == b or a == c: continue\\n \\n for f in Form.list(nonConservative[a,c]):\\n nFc = (f, u'nc')\\n aNonConsC = (a, nFc, c)\\n \\n r |= addFact(a, nFc, b,\\n (aNonConsC, cImpB), justComplexity[aNonConsC] + refCplxCB)\\n \\n #a nFc b\\n #WHEN\\n # (a RCA-> c) AND (c nFc b) [aka \\\"Stronger principles prove more (contrapositive)\\\"]\\n for a in principlesList:\\n if a == c: continue\\n \\n if Reduction.isPresent(Reduction.RCA, implies[a,c]):\\n aImpC = (a, imp, c)\\n refCplxAC = 1 + justComplexity[aImpC]\\n \\n for b in principlesList:\\n if b == a or b == c: continue\\n \\n for f in Form.list(nonConservative[c,b]):\\n nFc = (f, u'nc')\\n cNonConsB = (c, (f, u'nc'), b)\\n \\n r |= addFact(a, nFc, b,\\n (aImpC, cNonConsB), refCplxAC + justComplexity[cNonConsB])\\n return r\\n\\ndef deriveInferences(quiet=False, verbose=False):\\n start = timekeeper()\\n if not quiet: eprint(u'Adding reflexivity facts..')\\n addReflexivities()\\n if not quiet: eprint(u'Making RCA trivial..')\\n addRCABottom()\\n if not quiet: eprint(u'Recording conjunctions...')\\n definitionOfConjunction()\\n if not quiet: eprint(u'Elapsed: {0:.6f} s\\\\n'.format(timekeeper() - start))\\n \\n start = timekeeper()\\n if not quiet: eprint(u'Deriving positive facts:')\\n n = 0\\n eUpdated, iUpdated, cUpdated = True, True, True\\n while eUpdated or iUpdated or cUpdated:\\n n += 1\\n eChanged, iChanged, cChanged = False, False, False\\n \\n if iUpdated or iChanged:\\n if not quiet: eprint(u'\\\\tExtracting equivalences...')\\n eChanged |= definitionOfEquivalence() # Uses '->', affects '<->'\\n if eUpdated or eChanged:\\n if not quiet: eprint(u'\\\\tTaking the transitive closure of equivalence...')\\n eChanged |= transitiveClosure(equivalent, u'<->', Reduction) # Uses '<->', affects '<->'\\n \\n if iUpdated or iChanged:\\n if not quiet: eprint(u'\\\\tTaking the transitive closure of implication...')\\n iChanged |= transitiveClosure(implies, u'->', Reduction) # Uses '->', affects '->'\\n if not quiet: eprint(u'\\\\tReverse-engineering implications of conjunctions...')\\n iChanged |= unifyOverConjunctions() # Uses '->', affects '->'\\n if (cUpdated or cChanged) or (iUpdated or iChanged):\\n if not quiet: eprint(u'\\\\tImplementing conservativity for implication...')\\n iChanged |= definitionOfConservation() # Uses 'c' and '->', affects '->'\\n \\n if cUpdated or cChanged:\\n if not quiet: eprint(u'\\\\tTaking the transitive closure of conservation facts...')\\n cChanged |= transitiveClosure(conservative, u'c', Form) # Uses 'c', affects 'c'\\n if (cUpdated or cChanged) or (iUpdated or iChanged):\\n if not quiet: eprint(u'\\\\tLifting conservation facts over implications...')\\n cChanged |= liftConservation() # Uses 'c' and '->', affects 'c'\\n \\n if verbose:\\n eprint(u'\\\\t\\\\tDuring iteration {0}:'.format(n))\\n if eChanged: eprint(u'\\\\t\\\\t\\\\tEquivalences updated.')\\n if iChanged: eprint(u'\\\\t\\\\t\\\\tImplications updated.')\\n if cChanged: eprint(u'\\\\t\\\\t\\\\tConservation facts updated.')\\n if not eChanged and not iChanged and not cChanged: eprint(u'\\\\t\\\\t\\\\tNothing updated.')\\n \\n eUpdated = eChanged\\n iUpdated = iChanged\\n cUpdated = cChanged\\n if not quiet:\\n eprint(u'Finished with positive facts.')\\n eprint(u'Elapsed: {0:.6f} s (with {1} repeats)\\\\n'.format(timekeeper() - start, n))\\n \\n start = timekeeper()\\n if not quiet: eprint(u'Deriving negative facts:')\\n n = 0\\n niUpdated, ncUpdated = True, True\\n while niUpdated or ncUpdated:\\n n += 1\\n niChanged, ncChanged = False, False\\n \\n if niUpdated or niChanged:\\n if not quiet: eprint(u'\\\\tApplying transivitity to non-implications...')\\n niChanged |= contrapositiveTransitivity(implies, u'->', notImplies, u'-|>', Reduction) # Uses '->' and '-|>', affects '-|>'\\n if not quiet: eprint(u'\\\\tSplitting non-implications over conjunctions...')\\n niChanged |= contrapositiveConjunction() # Uses '->' and '-|>', affects '-|>'\\n if not quiet: eprint(u'\\\\tImplementing conservativity for non-implication...')\\n niChanged |= contrapositiveConservation() # Uses 'c' and '-|>', affects '-|>'\\n \\n if ncUpdated or ncChanged:\\n if not quiet: eprint(u'\\\\tApplying transivitity to non-conservation facts...')\\n ncChanged |= contrapositiveTransitivity(conservative, u'c', nonConservative, u'nc', Form) # Uses 'c' and 'nc', affects 'nc'\\n if niUpdated or niChanged:\\n if not quiet: eprint(u'\\\\tExtracting non-conservation facts from non-implications...')\\n ncChanged |= definitionOfNonConservation() # Uses '->' and '-|>', affects 'nc'\\n if ncUpdated or ncChanged:\\n if not quiet: eprint(u'\\\\tLifting non-conservation facts over implications...')\\n ncChanged |= liftNonConservation() # Uses 'nc' and '->', affects 'nc'\\n \\n if verbose:\\n eprint(u'\\\\t\\\\tDuring iteration {0}:'.format(n))\\n if niChanged: eprint(u'\\\\t\\\\t\\\\tNon-implications updated.')\\n if ncChanged: eprint(u'\\\\t\\\\t\\\\tNon-conservation facts updated.')\\n if not niChanged and not ncChanged: eprint(u'\\\\t\\\\t\\\\tNothing updated.')\\n \\n niUpdated = niChanged\\n ncUpdated = ncChanged\\n if not quiet:\\n eprint(u'Finished with negative facts.')\\n eprint(u'Elapsed: {0:.6f} s (with {1} repeats)\\\\n'.format(timekeeper() - start, n))\\n\\ndef getDatabase():\\n return {'version': DatabaseVersion,\\n 'principles': principles,\\n 'implication': (implies, notImplies),\\n 'conservation': (conservative, nonConservative),\\n 'form': form,\\n 'primary': (primary, primaryIndex),\\n 'justify': justify}\\n\\ndef setDatabase(database):\\n if database['version'] != DatabaseVersion:\\n raise VersionError(database['version'], DatabaseVersion)\\n \\n global principles, principlesList\\n principles = database['principles']\\n principlesList = sorted(principles)\\n \\n global implies, notImplies\\n implies, notImplies = database['implication']\\n \\n global conservative, nonConservative\\n conservative, nonConservative = database['conservation']\\n \\n global form\\n form = database['form']\\n \\n global primary, primaryIndex\\n primary, primaryIndex = database['primary']\\n \\n global justify\\n justify = database['justify']\\n \\n global justComplexity\\n justComplexity = {}\\n def rebuildComplexity(fact):\\n try:\\n return justComplexity[fact]\\n except KeyError:\\n r = 1\\n \\n a,op,b = fact\\n if op != u'form':\\n jst = justify[fact]\\n if not isString(jst):\\n r += sum(rebuildComplexity(f) for f in jst)\\n \\n justComplexity[fact] = r\\n return r\\n for fact in justify:\\n rebuildComplexity(fact)\\n\\ndef dumpDatabase(databaseName, quiet=False):\\n if not quiet: eprint(u'Facts known: {0:,d}\\\\n'.format(len(justify)))\\n \\n start = timekeeper()\\n if not quiet: eprint(u'Dumping updated database to binary file...')\\n with open(databaseName, mode='wb') as databaseFile:\\n pickledDatabase = pickle.dumps(getDatabase(), protocol=2)\\n compressedDatabase = zlib.compress(pickledDatabase)\\n databaseFile.write(compressedDatabase)\\n \\n if not quiet: eprint(u'Elapsed: {0:.6f} s\\\\n'.format(timekeeper() - start))\\n\\ndef loadDatabase(databaseName, quiet=False):\\n with open(databaseName, mode='rb') as databaseFile:\\n compressedDatabase = databaseFile.read()\\n pickledDatabase = zlib.decompress(compressedDatabase)\\n setDatabase(pickle.loads(pickledDatabase))\\n\\nfrom optparse import OptionParser, OptionGroup\\ndef main():\\n absoluteStart = timekeeper()\\n eprint(u'\\\\nRM Zoo (v{0})\\\\n'.format(Version))\\n \\n parser = OptionParser(u'Usage: %prog [options] results [database_title]', version=u'%prog {0} ({1})'.format(Version, Date))\\n \\n parser.set_defaults(quiet=False, verbose=False)\\n \\n parser.add_option('-q', action='store_true', dest='quiet',\\n help = u'Suppress progress/timing indicators.')\\n parser.add_option('-v', action='store_true', dest='verbose',\\n help = u'Report additional execution information.')\\n \\n (options, args) = parser.parse_args()\\n if len(args)>2:\\n parser.error(u'Too many arguments provided.')\\n if len(args)<1:\\n parser.error(u'No results file specified.')\\n \\n if options.quiet and options.verbose:\\n parser.error(u'Options -q and -v are incompatible.')\\n \\n import os\\n resultsFile = args[0]\\n if len(args) > 1:\\n databaseTitle = args[1]\\n else:\\n eprint(u'No database title specified; defaulting to \\\"database\\\".')\\n databaseTitle = 'database.dat'\\n \\n if os.path.splitext(databaseTitle)[1] == '':\\n databaseName = databaseTitle + os.extsep + 'dat'\\n else:\\n databaseName = databaseTitle\\n \\n if not os.path.exists(resultsFile):\\n parser.error(u'Results file \\\"{0}\\\" does not exist.'.format(resultsFile))\\n \\n with open(resultsFile, encoding='utf-8') as f:\\n parseResults(f.read(), options.quiet)\\n deriveInferences(quiet=options.quiet, verbose=options.verbose)\\n dumpDatabase(databaseName, options.quiet)\\n if not options.quiet: eprint(u'Total elapsed time: {0:.6f} s'.format(timekeeper() - absoluteStart))\\n \\n if options.verbose:\\n try:\\n report = []\\n report.append(u'\\\\tReduction.list: {0}'.format(Reduction.list.cache_info()))\\n report.append(u'\\\\tForm.list: {0}'.format(Form.list.cache_info()))\\n eprint(u'\\\\nCache report: ')\\n eprint('\\\\n'.join(report))\\n except AttributeError:\\n pass\\nif __name__ == '__main__':\\n main()\\n\"\n },\n {\n \"alpha_fraction\": 0.7473697662353516,\n \"alphanum_fraction\": 0.7594210505485535,\n \"avg_line_length\": 65.4533920288086,\n \"blob_id\": \"1cf2369b1b4ad89c9717427958048614fd84cece\",\n \"content_id\": \"d467ef2c86ff064ef2017929c7c4ec909ab8e198\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 15688,\n \"license_type\": \"permissive\",\n \"max_line_length\": 642,\n \"num_lines\": 236,\n \"path\": \"/README.md\",\n \"repo_name\": \"TonichaC/rmzoo\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# RM Zoo\\n\\nThe Reverse Mathematics Zoo is a program to help organize relations among various mathematical principles, particularly those that fail to be equivalent to any of the big five subsystems of second-order arithmetic. Its primary goal is to make it easier to see known results and open questions, and thus hopefully to serve as a useful tool to researchers in the field. As a secondary goal, the Zoo should provide an interactive annotated bibliography of the field, collecting results in a standard machine-readable format.\\n\\nThe present version of the RM Zoo is a complete rewrite of the original, and features many improvements. The program has been heavily optimized and extended; the run time should generally be faster, and more true facts should be inferred from most starting results files. In addition, the RM Zoo can now handle implications, reducibilities (including both Weihrauch reducibility and computable reducibility), and conservation facts.\\n\\nThe program is divided into two parts: a database updater/compiler, which derives all inferences from the provided results file, and a database query system, which can answer specific questions about reverse-mathematical relations or produce diagrams on request.\\n\\nUnder the reverse-mathematical interface, the Zoo is actually a specialized inference engine, designed to reason with facts of the form \\\"a implies b in context Q\\\" (implication facts), \\\"if a implies p, and p has form F, then b implies p\\\" (conservation facts), or the negations thereof.\\n\\n## Installation\\n\\nTo run the RM Zoo, you will need to install a distribution of Python, version 2.7 or later. (The Zoo will perform best if run in either [PyPy2.7](http://pypy.org/index.html) or [Python 3.4+](https://www.python.org/).)\\n\\nYou will also need the [Pyparsing](http://pyparsing.wikispaces.com/) module.\\n\\nIf not using Python 3.4+, you will need to install the [enum34](https://bitbucket.org/stoneleaf/enum34) module, and if not using Python 3.2+, you will also need the [repoze.lru](https://github.com/repoze/repoze.lru) module.\\n\\nTo install each of these modules, run the appropriate commands below:\\n```\\npip install pyparsing\\npip install enum34\\npip install repoze.lru\\n```\\n\\nTo view/render the diagrams produced by the Zoo, you will need to install [Graphviz](http://www.graphviz.org/), or another program capable of reading DOT files.\\n\\n## Usage\\n\\nThe RM Zoo consists of two Python scripts, `rmupdater.py` and `rmzoo.py`.\\n\\n### rmupdater\\n\\n`rmupdater.py` compiles results files into databases of known facts, and is typically run as follows:\\n\\n- `python rmupdater.py [results file]`,\\n\\nwhere `[results file]` is a text file containing facts; the results file included in this distribution is `byPaper.txt`. If using multiple results files (for testing purposes), you may keep them in separate databases by adding a database title:\\n\\n- `python rmupdater.py [results file] [database title]`\\n\\nFor example, one would typically run\\n\\n- `python rmupdater.py byPaper.txt`;\\n\\nIf maintaining an alternate results file in `test.txt`, one might separately run the command\\n\\n- `python rmupdater.py test.txt testDatabase`.\\n\\n### rmzoo\\n\\n`rmzoo.py` then takes the database built by `rmupdater.py`, and carries out various tasks as controlled by its options. The basic command is\\n\\n- `python rmzoo.py [options]`;\\n\\nhowever, if you need to specify a database title, add it to the command as follows:\\n\\n- `python rmzoo.py [database title] [options]`\\n\\n---\\n\\nTo query the database for a fact (which will determine whether it is known or contradicted, and give the justification in either case), run the command\\n\\n- `python rmzoo.py -q \\\"[fact]\\\"`.\\n\\nFor example,\\n\\n- `python rmzoo.py -q \\\"RT22 -> CRT22\\\"`\\n\\nwill print a justification of the fact that **RT<sup>2</sup><sub>2</sub>** implies **CRT<sup>2</sup><sub>2</sub>** over **RCA<sub>0</sub>**.\\n\\n---\\n\\nTo generate a diagram from the database, instead run\\n\\n- `python rmzoo.py [diagram options] > [destination]`,\\n\\nwhere `[destination]` is a DOT file. The `[diagram options]` **must** include one or more of the following:\\n\\n- `-i`: show implications as black arrows;\\n- `-n`: show non-implications as red arrows;\\n- `-f`: color-codes principles by their syntactic form; currently, this uses a pink box for Π<sup>1</sup><sub>1</sub> principles, and a cyan box for restricted Π<sup>1</sup><sub>2</sub> principles. Other forms do not yet have a color code.\\n- `-c`: show conservation facts, using color-coded arrows (as for the forms) to represent each form of conservation;\\n- `-w`: show the weakest open implications as green arrows;\\n- `-s`: show the strongest open implications as green arrows.\\nIn addition, the options may include any of the following:\\n- `-o`: show facts that hold in ω-models;\\n- `-t [REDUCIBILITY]`: show facts relative to implications over the given REDUCIBILITY (options include sW, W, gW, sc, c, w, and RCA);\\n- `-p`: show only one primary principle from each group of equivalent principles;\\n- `-r \\\"[CLASS]\\\"`: restrict the diagram to just the principles contained between the quotation marks (and any sub-principles of conjunctions in the list). For example, the option `-r \\\"RT22 COH+WKL SRT22 RCA\\\"` will show only relations between the principles **RT22**, **COH+WKL**, **SRT22**, **RCA<sub>0</sub>**, **COH**, and **WKL**.\\n\\nFor instance,\\n\\n- `python rmzoo.py -i -o -w > diagram.dot`\\n\\nwill produce a diagram of all implications between principles that hold in ω-models, along with the weakest open implications (in ω-models). Generally speaking, the more options that are selected, the more information is shown on the diagram; this tends to make it harder to read.\\n\\nIt would probably be of very limited use to select *all* the options, for instance.\\n\\n## Credits\\n\\nThe RM Zoo was originally developed by Damir Dzhafarov, inspired by Joseph S. Miller's command-line version of the Computability Menagerie. Recently, the Zoo has been largely rewritten by Eric Astor to improve performance, expand the library of available inference rules, and move to a more maintainable/upgradeable architecture.\\n\\nMany people have helped with the RM Zoo, by commenting on the code, contributing facts, suggesting new features, or just expressing their interest. Thanks in particular to David Belanger, Peter Cholak, Stephen Flood, Denis Hirschfeldt, Steffen Lempp, Joe Miller, Antonio Montalbán, Carl Mummert, Ludovic Patey, Sam Sanders, and Ted Slaman.\\n\\n## Contributing\\n\\nContributions and/or feedback are, of course, welcome! If you are comfortable working with GitHub, the best way to contribute is as follows:\\n\\n1. Fork the code.\\n2. Create your feature branch: `git checkout -b my-new-feature`\\n3. Commit your changes: `git commit -am 'Add some feature'`\\n4. Push to the branch: `git push origin my-new-feature`\\n5. Submit a pull request.\\n\\nOtherwise, don't hesitate to send an e-mail or other message.\\n\\n### Results\\n\\nThe results file is a simple text file containing relations between reverse-mathematical principles. This is then compiled by the Zoo's updater to create its database, which is then used by the Zoo to generate its various outputs (whether DOT files or text responses).\\n\\n#### Names\\n\\nPrinciples should be named by **simple plaintext alphanumeric strings** that resemble their normal acronyms in the literature; for example, we use `RT22` for Ramsey's theorem for pairs (and 2 colors). Do not use TeX in the names of principles (as in `RT^2_2` or `\\\\mathsf{RT}^2_2`); this will make the diagrams harder to read, as DOT files have no TeX support, and can sometimes cause errors.\\n\\n#### Relations\\n\\nRelations between principles are given by using various operators. For instance:\\n\\n- `RT22 -> COH`\\n\\nindicates an **implication** provable in **RCA<sub>0</sub>**. By itself, however, this would generate an error; all facts must include a **justification**. To justify this fact, one would instead write:\\n\\n- `RT22 -> COH \\\"Mileti (2004) [Claim A.1.3], and independently Jockusch and Lempp\\\"`\\n\\nThese justifications are used by the Zoo to keep track of why the facts it derives are true, and as such are important for maintaining a usable database. For simplicity, justifications should also be plaintext; if a principle needs to be mentioned, the same acronyms as for relations should be used. To keep the results file clean, please use the justification format: \\\"Author 1, Author 2, and Author 3 (year) \\\\[result citation\\\\]\\\". If possible, citations should be to the authoritative published version of the paper, falling back to an arXiv citation only when the authoritative version is not yet available.\\n\\n**Non-implications** (i.e., implications known *not* to be provable in **RCA<sub>0</sub>**), can be entered similarly, using the operator `-|>`; for example,\\n\\n- `RT22+WKL -|> ACA \\\"Seetapun and Slaman (1995) [Theorem 3.1]\\\"`\\n\\nHowever, this result said more than this; Seetapun and Slaman specifically constructed an omega-model of **RT22+WKL** in which **ACA** failed. In general, one can represent implications and non-implications over omega-models by prepending `w` before an operator. Thus, one can more accurately write the previous result as\\n\\n- `RT22+WKL w-|> ACA \\\"Seetapun and Slaman (1995) [Theorem 3.1]\\\"`\\n\\nand might also write\\n\\n- `COH w-> StCOH \\\"Hirschfeldt and Shore (2007) [Proposition 4.4]\\\"`\\n\\nto represent this implication which, while not necessarily true in all models of **RCA<sub>0</sub>**, holds over all omega models. The Zoo is programmed to understand that `->` is stronger than `w->`, and thus that `w-|>` is stronger than `-|>`.\\n\\nFurthermore, the Zoo now supports results from the study of computable and Weihrauch reducibilities, using the operators `<=` and `</=`, and appending an abbreviation of the relevant reducibility. For example, the following facts could be included in the results file:\\n\\n- `DNR <=_c SRT22 \\\"Hirschfeldt, Jockusch, Kjos-Hanssen, Lempp, and Slaman (2008) [follows from proof of Theorem 2.3]\\\"`\\n- `COH </=_W SRT22 \\\"Dzhafarov (to appear) [Corollary 4.5]\\\"`\\n\\nThe supported reducibilities are:\\n\\n- strong Weihrauch reducibility (`sW`)\\n- Weihrauch/uniform reducibility (`W`)\\n- generalized Weihrauch reducibility (`gW`)\\n- strong computable reducibility (`sc`)\\n- computable reducibility (`c`)\\n- generalized computable reducibility (`gc`) \\\\[also known as reducibility over omega-models (`w`)\\\\]\\n\\nThe Zoo understands the relations between these reducibilities, and between them and the above notions of implication. Thus, it can conclude from the above examples that `SRT22 w-> DNR` and that `COH </=_sW SRT22`.\\n\\n##### Equivalences and Primary Principles\\n\\nThe Zoo can handle cycles without difficulty. For example, it will know that the facts\\n\\n- `StCOH -> StCADS`\\n- `StCADS -> StCOH`\\n\\ntogether indicate that the principles **StCOH** and **StCADS** are **equivalent** over **RCA<sub>0</sub>**, and will act accordingly. For instance, if rendering a diagram, the Zoo will pick one of the two principles to treat as 'primary', in the sense that implications and non-implications will only be shown going to and from the primary principle; this reduces the mess, and keeps the diagram more readable. Of course, the Zoo may occasionally pick the \\\"wrong\\\" primary principle; for instance, we probably want **StCOH** to be considered primary over **StCADS**. Since the Zoo has no way of knowing that on its own, we can include the fact\\n\\n- `StCOH is primary`\\n\\nin our results file, and ensure that the Zoo considers **StCOH** to be the primary principle. (Note that our choice of primary principles is given no justification; in fact, by the standards of the results file, it *cannot* be justified.) The order in which this is done matters. For example, if we switch to thinking about omega models, **StCOH** will be equivalent to **COH**, but we probably want **COH** to be considered primary in this case. Entering\\n\\n- `COH is primary`\\n\\n**earlier** (i.e., \\\"higher up\\\") in the results file will achieve the desired result.\\n\\nPrinciples can also be declared equivalent by use of dedicated operators, included for convenience. Writing\\n\\n- `StCOH <-> StCADS`\\n\\nwill produce the same result as including both of the two separate implications. (**Warning:** prepending a `w` to `<->` does work, but does not merely indicate an equivalence that holds over omega models; it in fact asserts that both halves of the implication hold in omega models. One can use the operator `<=>` in a similar way, subject to the same caveat.)\\n\\n#### Syntactic Forms and Conservation Facts\\n\\nThe Zoo also understands **syntactic forms** and **conservations facts** relating reverse-mathematical principles. Specifically, it understands the syntactic forms \\n\\n- `Sig02`, `Pi02`, `Sig03`, `Pi03`, `Sig04`, and `Pi04`: three levels of the arithmetic hierarchy\\n- `Pi11`, `Pi12`, and `Pi13`: the first three universal levels of the analytic hierarchy\\n- `uPi03`: Pi03 with a single universally-quantified set paramater; defined as \\\"twiddle-Pi<sup>0</sup><sub>3</sub>\\\" in Patey and Yokoyama (preprint)\\n- `rPi12`: restricted Pi12 statements, as defined in Hirschfeldt and Shore (2007) \\\\[Corollary 2.21\\\\]\\n\\nWe can thus enter\\n\\n- `RT22 form rPi12`\\n- `BSig2 form Pi11`\\n\\nto indicate that the given principles have the given forms. (Note that these statements are **unjustified**.)\\n\\nTo indicate that one principle is conservative over another for consequences of a given form (that is to say, the first proves no more consequences of that form than the second), we can add results such as:\\n\\n- `AMT+BSig2 Pi11c BSig2 \\\"Hirschfeldt, Shore, and Slaman (2009) [Corollary 4.5]\\\"`\\n- `AMT rPi12c RCA \\\"Hirschfeldt, Shore, and Slaman (2009) [Corollary 3.15]\\\"`\\n\\nTo indicate that one principle is **not** conservative over another, prepend an `n` before the conservation operator. For instance, we might add the result\\n\\n- `RT22 nPi04c RCA \\\"Seetapun and Slaman (1995) [Theorem 3.6]\\\"`\\n\\nConservation and non-conservation facts must, again, be justified. The Zoo understands the connections between conservation facts and implications, and will use them to extract more relations between the known principles.\\n\\n#### Compound Principles (i.e., Conjunctions)\\n\\nAs the reader may have noted above, the Zoo also understands compound principles; that is, principles that are conjunctions of other principles. For instance, if we add\\n\\n- `SRT22+COH <-> RT22`\\n\\nas a fact in the results file, the Zoo will know that `COH+SRT22` is a compound principle, denoting the conjunction of `COH` and `SRT22`. It will add any component principles to its internal list, and automatically understands the relations between the compound principle and its components. \\n\\n#### Organization and Formatting\\n\\nPlease note that any line in the results file starting with a `#` symbol is ignored, and considered to be a comment for human readers.\\n\\nIf contributing to the results file, please take note of the organization formatting used therein; we have organized the results by publication, arranged by publication year when possible (with the noted exception of Simpson's \\\"Subsystems of Second-Order Arithmetic\\\" \\\\[also known as SOSOA\\\\], which is listed first). Each publication's results should be preceded by a comment containing a full authoritative citation, including (if at all possible) a URL and DOI for the authoritative published version.\\n\\nContributions to the results file are extremely welcome. For example, if anyone wants to transcribe the relevant results of Simpson's SOSOA into our format, the maintainers would be eternally grateful! (For context, please note that this textbook is over 450 pages long.)\\n\\n## License\\n\\nThe RM Zoo has been placed under the MIT license; in plain English, you can do whatever you want with it, including redistribution and creation of derivative works, as long as attribution and the appropriate license information remain. For details, please see the LICENSE file.\\n\"\n },\n {\n \"alpha_fraction\": 0.646034836769104,\n \"alphanum_fraction\": 0.6479690670967102,\n \"avg_line_length\": 23.619047164916992,\n \"blob_id\": \"3bfe288f065d124568ecf4d49c278c0f44593992\",\n \"content_id\": \"22029037e80654d6c4521d61f88c66db6114bbe5\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 517,\n \"license_type\": \"permissive\",\n \"max_line_length\": 58,\n \"num_lines\": 21,\n \"path\": \"/version_guard.py\",\n \"repo_name\": \"TonichaC/rmzoo\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import sys\\nif sys.version_info >= (3,):\\n def isString(value):\\n return isinstance(value, str)\\nelse:\\n def isString(value):\\n return isinstance(value, basestring)\\n\\n# Mock \\\"lru_cache\\\"; actually just a pass-through decorator\\ndef lru_cache(*args, **kwargs):\\n def empty_decorator(f):\\n f.__wrapped__ = f\\n return f\\n return empty_decorator\\ntry:\\n from functools import lru_cache\\nexcept ImportError:\\n try:\\n from repoze.lru import lru_cache\\n except ImportError:\\n pass\\n\"\n },\n {\n \"alpha_fraction\": 0.5370121002197266,\n \"alphanum_fraction\": 0.5464333891868591,\n \"avg_line_length\": 29.547945022583008,\n \"blob_id\": \"12fe5e561a010a6eba832e3f356246f2d1ec5fcf\",\n \"content_id\": \"538c4cf08ad4caf414f75f808f6e47bb9254728a\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2229,\n \"license_type\": \"permissive\",\n \"max_line_length\": 142,\n \"num_lines\": 73,\n \"path\": \"/renderJustification.py\",\n \"repo_name\": \"TonichaC/rmzoo\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from __future__ import print_function, unicode_literals\\n\\nfrom rmBitmasks import Form, Reduction\\n\\nfrom version_guard import lru_cache, isString\\n\\n_justLineMarker = u'*'\\n_justIndentMarker = u'@'\\njustMarker = _justLineMarker + _justIndentMarker\\n_justIndented = justMarker + _justIndentMarker\\n_justFormat = justMarker + u'{0}: '\\ndef indentJust(jst):\\n return jst.replace(justMarker, _justIndented)\\n\\n@lru_cache(maxsize=1024)\\ndef printOp(op):\\n if isString(op):\\n return op\\n \\n opCtx, opCore = op\\n try:\\n opCtx = opCtx.name\\n except AttributeError:\\n pass\\n \\n if opCore == u'nc':\\n return u'n{0}c'.format(opCtx)\\n elif opCore in (u'=>', u'=/>', u'<=', u'</=', u'<=>'):\\n return u'{1}_{0}'.format(opCtx, opCore)\\n else:\\n return u'{0}{1}'.format(opCtx, opCore)\\n\\ndef printFact(a, op, b):\\n if op == u'form':\\n b = b.name\\n elif op[0] in (Reduction.sW, Reduction.W, Reduction.gW, Reduction.sc, Reduction.c): # Reducibility fact, not implication fact\\n if op[1] == u'->':\\n op = (op[0], u'<=')\\n a,b = b,a\\n elif op[1] == u'-|>':\\n op = (op[0], u'</=')\\n a,b = b,a\\n elif op[1] == u'<->':\\n op = (op[0], u'<=>')\\n return u'{0} {1} {2}'.format(a, printOp(op), b)\\n\\nprintedJustify = {}\\ndef printJustification(fact, justify, formatted=True):\\n a,op,b = fact\\n \\n r = ''\\n try:\\n r = printedJustify[fact]\\n except KeyError:\\n if op == u'form':\\n r = justMarker + printFact(*fact)\\n else:\\n try:\\n jst = justify[fact]\\n except KeyError:\\n raise Exception(u'ERROR: Referenced fact \\\"{0}\\\" not justified!'.format(printFact(*fact)))\\n \\n if isString(jst):\\n r = _justFormat.format(printFact(*fact)) + jst\\n else:\\n r = _justFormat.format(printFact(*fact)) \\\\\\n + u''.join((_justIndented+f if isString(f) else indentJust(printJustification(f, justify, formatted=False))) for f in jst)\\n printedJustify[fact] = r\\n \\n if formatted:\\n return r.replace(_justLineMarker, u'\\\\n').replace(_justIndentMarker, u' ')\\n else:\\n return r\"\n },\n {\n \"alpha_fraction\": 0.5372593998908997,\n \"alphanum_fraction\": 0.5396416783332825,\n \"avg_line_length\": 34.452701568603516,\n \"blob_id\": \"59479c7df654fcb04ccbd8b5a8e71c3161562d12\",\n \"content_id\": \"b590282d37e7551ec5229b985e54b79f73be13e9\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 10494,\n \"license_type\": \"permissive\",\n \"max_line_length\": 128,\n \"num_lines\": 296,\n \"path\": \"/databaseToJSON.py\",\n \"repo_name\": \"TonichaC/rmzoo\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#! /usr/bin/env python\\n\\nfrom __future__ import print_function\\n\\nimport os, sys, uuid\\n\\nimport itertools\\nfrom io import open\\nfrom collections import defaultdict\\n\\nfrom version_guard import isString\\n\\nimport zlib\\ntry:\\n import cPickle as pickle\\nexcept:\\n import pickle\\n\\ntry:\\n import ujson as json\\nexcept:\\n print('UltraJSON not available; falling back to Python library.')\\n import json\\n\\nfrom rmBitmasks import *\\nfrom renderJustification import printOp\\n\\nVersion = u'5.1'\\nDatabaseVersion = u'5.1'\\n\\nclass VersionError(Exception):\\n def __init__(self, targetVersion, actualVersion):\\n super(VersionError, self).__init__(u'Version mismatch: found v{0}, targeting v{1}'.format(actualVersion, targetVersion))\\n\\nclass Zoo:\\n _nextUID = 0\\n \\n nodes = {}\\n meta = {'edgeKinds': [],\\n 'colorings': [],\\n 'graphviz': {}}\\n \\n def addNode(label, definition='', key=None, uid=None, edges={}, properties={}, tags=[]):\\n if uid is None:\\n uid = _nextUID\\n _nextUID += 1\\n \\n n = Node(uid, label, definition, key, edges, properties, tags)\\n if key is None:\\n nodes[label] = n\\n else:\\n nodes[key] = n\\n \\n def addEdgeKind(label, functionBody):\\n self.meta['edgeKinds'].append({'label': label, 'functionBody': functionBody})\\n \\n def addColoring(self, name, colors, labels, coloringFunction):\\n self.meta['colorings'].append(Coloring(name, colors, labels, coloringFunction))\\n \\n def __getitem__(self, key):\\n return self.nodes[key]\\n \\n def __setitem__(self, key, item):\\n self.nodes[key] = item\\n \\n def __contains__(self, key):\\n return (key in self.nodes)\\n \\n def __init__(self, edgeKinds=[], rankdir='TB'):\\n self.meta['edgeKinds'] = edgeKinds\\n self.meta['graphviz'] = {'rankdir': rankdir}\\n\\nclass Coloring:\\n def __init__(self, name, colors, labels, coloringFunction):\\n self.label = name\\n self.colors = [{'color': color, 'label': label} for color,label in zip(colors,labels)]\\n self.coloring = coloringFunction\\n\\nclass Node:\\n def __init__(self, uid, label, definition='', key=None, edges={}, properties={}, tags=[]):\\n if key is None:\\n key = label\\n \\n self.uid = uid\\n self.label = label\\n self.definition = definition\\n self.key = key\\n self.edges = edges\\n self.properties = properties\\n self.tags = tags\\n \\n def addEdge(self, dstKey, properties={}):\\n self.edges[dstKey] = Edge(self.key, dstKey, properties)\\n \\n def addProperty(self, name, justification, value=None, description='', uid=None):\\n self.properties[name] = Property(justification, value, description, uid)\\n\\nclass Edge:\\n def __init__(self, srcKey, dstKey, properties={}):\\n self.srcKey = srcKey\\n self.dstKey = dstKey\\n self.properties = properties\\n \\n def addProperty(self, name, justification, value=None, description='', uid=None):\\n self.properties[name] = Property(justification, value, description, uid)\\n\\nclass Property:\\n def __init__(self, justification, value=None, description='', uid=None):\\n if uid is None:\\n uid = uuid.uuid4()\\n \\n self.value = value\\n self.justification = justification\\n self.description = description\\n self.uid = uid\\n\\nclass Justification:\\n weight = 0\\n direct = None\\n composite = None\\n \\n def __init__(self, direct=None, composite=None, weight=None):\\n if direct is None and composite is None:\\n raise ValueError('Justifications must contain some justification.')\\n if direct is not None and composite is not None:\\n raise ValueError('Justifications are either direct or composite, not both.')\\n \\n if direct is not None:\\n self.weight = 1\\n self.direct = direct\\n \\n if composite is not None:\\n if weight is None:\\n raise ValueError('Composite justifications must specify their weights.')\\n \\n self.weight = weight\\n self.composite = composite\\n \\ndef loadDatabase(databaseName, quiet=False):\\n with open(databaseName, mode='rb') as databaseFile:\\n compressedDatabase = databaseFile.read()\\n pickledDatabase = zlib.decompress(compressedDatabase)\\n setDatabase(pickle.loads(pickledDatabase))\\n\\ndef getDatabase():\\n return {'version': DatabaseVersion,\\n 'principles': principles,\\n 'implication': (implies, notImplies),\\n 'conservation': (conservative, nonConservative),\\n 'form': form,\\n 'primary': (primary, primaryIndex),\\n 'justify': justify}\\ndef setDatabase(database):\\n if database['version'] != DatabaseVersion:\\n raise VersionError(DatabaseVersion, database['version'])\\n \\n global principles\\n principles = database['principles']\\n \\n global implies, notImplies\\n implies, notImplies = database['implication']\\n \\n global conservative, nonConservative\\n conservative, nonConservative = database['conservation']\\n \\n global form\\n form = database['form']\\n \\n global primary, primaryIndex\\n primary, primaryIndex = database['primary']\\n \\n global justify\\n justify = database['justify']\\n\\nif __name__ == '__main__':\\n databaseTitle = 'database'\\n if os.path.splitext(databaseTitle)[1] == '':\\n databaseName = databaseTitle + os.extsep + 'dat'\\n else:\\n databaseName = databaseTitle\\n loadDatabase(databaseName)\\n \\n primaryIndex += sorted(principles - primary)\\n \\n meta = {\\n 'tags': [],\\n 'edgeKinds': [],\\n 'colorings': [],\\n 'about': {'description': 'The <a href=\\\"https://rmzoo.math.uconn.edu/\\\">RM Zoo</a> is a program to '\\n 'help organize reverse-mathematical relations between mathematical '\\n 'principles, particularly those that fail to be equivalent to any of the '\\n 'big five subsystems of second-order arithmetic. Its primary goal is to '\\n 'make it easier to see known results and open questions, and thus '\\n 'hopefully to serve as a useful tool to researchers in the field. As a '\\n 'secondary goal, the Zoo provides an interactive annotated bibliography '\\n 'of the field, collecting results in a standard machine-readable format.'},\\n 'graphviz': {}\\n }\\n\\n translationFunction = \\\"if('{0}' in edge.properties) return 1; \\\" \\\\\\n \\\"if('{1}' in edge.properties) return 0; \\\" \\\\\\n \\\"return 2;\\\"\\n for red in Reduction:\\n if red == Reduction.none: continue\\n \\n posName = red.name + u'i'\\n negName = red.name + u'ni'\\n \\n kindNode = {'label': '$\\\\rightarrow_{\\\\rm ' + red.name + '}$',\\n 'key': posName,\\n 'edges': [r.name + u'i' for r in Reduction.list(Reduction.weaker(red) & ~red)]}\\n kind = {'label': '$\\\\rightarrow_{\\\\rm ' + red.name + '}$',\\n 'functionBody': translationFunction.format(posName, negName),\\n 'node': kindNode}\\n meta['edgeKinds'].append(kind)\\n for f in Form:\\n if f == Form.none: continue\\n \\n posName = f.name + u'c'\\n negName = f.name + u'nc'\\n \\n #TODO: Implement better labels for conservation results\\n kindNode = {'label': posName,\\n 'key': posName,\\n 'edges': [r.name + u'i' for r in Reduction.list(Reduction.weaker(red) & ~red)]}\\n kind = {'label': posName,\\n 'functionBody': translationFunction.format(posName, negName),\\n 'node': kindNode}\\n \\n nodes = {}\\n for i,p in enumerate(primaryIndex):\\n nodes[p] = dict()\\n nodes[p]['uid'] = i\\n \\n #TODO: Implement labels\\n nodes[p]['label'] = p\\n \\n #TODO: Implement definitions\\n nodes[p]['definition'] = ''\\n \\n nodes[p]['edges'] = {dst:{'srcKey':p,\\n 'dstKey':dst,\\n 'properties':dict()} for dst in principles}\\n nodes[p]['properties'] = {}\\n nodes[p]['tags'] = []\\n uid = i+1\\n \\n properties = {}\\n for p in sorted(principles):\\n for f in Form.list(form[p]):\\n #TODO: Implement justifications for forms\\n properties[(p, u'form', f)] = {'uid': uid,\\n 'value': f.name,\\n 'justification': {'weight': 1,\\n 'direct': 'Observed'}}\\n nodes[p]['properties'][f.name] = properties[(p, u'form', f)]\\n uid += 1\\n \\n for f,j in justify.items():\\n if f in properties:\\n continue\\n \\n toJustify = [(f, j, {'uid': uid})]\\n uid += 1\\n while toJustify:\\n fact,jst,prop = toJustify.pop()\\n done = True\\n if isString(jst):\\n prop['justification'] = {'weight': 1, 'direct': jst}\\n elif all(ref in properties for ref in jst):\\n prop['justification'] = {'weight': 1 + sum(properties[ref]['justification']['weight'] for ref in jst),\\n 'composite': [properties[ref]['uid'] for ref in jst]}\\n else:\\n done = False\\n toJustify.append((fact, jst, prop))\\n for ref in jst:\\n if ref in properties:\\n continue\\n toJustify.append((ref, justify[ref], {'uid': uid}))\\n uid += 1\\n if done:\\n properties[fact] = prop\\n \\n a,op,b = fact\\n opCtx,opCore = op\\n if opCore in u'->':\\n coreName = u'i'\\n elif opCore == u'-|>':\\n coreName = u'ni'\\n else:\\n coreName = opCore\\n opName = opCtx.name + coreName\\n nodes[a]['edges'][b]['properties'][opName] = prop\\n \\n with open('rmzoo.json', 'w') as f:\\n json.dump({'nodes': nodes, 'meta': meta}, f, sort_keys=True, indent=4)\\n\"\n },\n {\n \"alpha_fraction\": 0.5344477295875549,\n \"alphanum_fraction\": 0.582109808921814,\n \"avg_line_length\": 27.203821182250977,\n \"blob_id\": \"b6640429366d2e8fe0cc55fc769966c480cf88f6\",\n \"content_id\": \"df33faa03cc34755f595249b69e70f15ac91f3a3\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 4427,\n \"license_type\": \"permissive\",\n \"max_line_length\": 98,\n \"num_lines\": 157,\n \"path\": \"/rmBitmasks.py\",\n \"repo_name\": \"TonichaC/rmzoo\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from __future__ import print_function, unicode_literals\\n\\nfrom enum import Enum\\n\\nfrom version_guard import lru_cache\\n\\nclass BitmaskEnum(int, Enum):\\n def __new__(cls, value=None):\\n if value is None:\\n if len(cls.__members__) == 0:\\n value = 0\\n else:\\n value = 1 << (len(cls.__members__) - 1)\\n \\n obj = int.__new__(cls, value)\\n obj._value_ = value\\n return obj\\n \\n @staticmethod\\n def isPresent(x,magic_num):\\n return (x & magic_num) != 0\\n \\n @classmethod\\n @lru_cache(maxsize=256)\\n def strongest(cls,magic_num):\\n if magic_num == 0:\\n return cls(0)\\n else:\\n return cls(1 << (magic_num.bit_length() - 1))\\n \\n @classmethod\\n @lru_cache(maxsize=256)\\n def weakest(cls,magic_num):\\n if magic_num == 0:\\n return cls.none\\n else:\\n return cls(magic_num & -magic_num)\\n \\n @classmethod\\n @lru_cache(maxsize=256)\\n def list(cls,magic_num):\\n return [x for x in cls if cls.isPresent(x, magic_num)]\\n \\n @classmethod\\n def fromString(cls,s):\\n try:\\n return getattr(cls, s)\\n except AttributeError:\\n raise NotImplementedError(\\\"The {0} `{1}` is not implemented.\\\".format(cls.__name__, s))\\n\\nclass Reduction(BitmaskEnum):\\n none = 0\\n w = 1 << 0\\n RCA = 1 << 1\\n c = 1 << 2\\n sc = 1 << 3\\n gW = 1 << 4\\n W = 1 << 5\\n sW = 1 << 6\\n \\n @classmethod\\n def fromString(cls,s):\\n try:\\n return cls.alias[s]\\n except KeyError:\\n try:\\n return getattr(cls, s)\\n except AttributeError:\\n raise NotImplementedError(\\\"The reduction `{}` is not implemented.\\\".format(s))\\n\\nReduction.alias = {u'': Reduction.RCA,\\n u'gc': Reduction.w}\\n\\ndef noReduction():\\n return Reduction.none\\n\\nclass Form(BitmaskEnum):\\n none = 0\\n Sig02 = 1 << 10\\n Pi02 = 1 << 9\\n Sig03 = 1 << 8\\n Pi03 = 1 << 7\\n uPi03 = 1 << 6\\n Sig04 = 1 << 5\\n Pi04 = 1 << 4\\n Pi11 = 1 << 3\\n rPi12 = 1 << 2\\n Pi12 = 1 << 1\\n Pi13 = 1 << 0\\n\\ndef noForm():\\n return Form.none\\n\\ndef _completeImplications(enum, forward):\\n for c in enum:\\n if c == enum.none: continue\\n for a in enum:\\n if a == enum.none: continue\\n \\n if enum.isPresent(c, forward[a]):\\n forward[a] |= forward[c]\\n\\ndef _reverseImplications(enum, forward):\\n reverse = {enum.none: enum.none}\\n for p0 in enum:\\n if p0 == enum.none: continue\\n \\n reverse[p0] = enum.none\\n for p1 in enum:\\n if p1 == enum.none: continue\\n \\n if enum.isPresent(p0, forward[p1]):\\n reverse[p0] |= p1\\n return reverse\\n\\n_R_WEAKER = {r:r for r in Reduction}\\n\\n_R_WEAKER[Reduction.RCA] |= Reduction.w # RCA -> w\\n\\n_R_WEAKER[Reduction.sc] |= Reduction.c # sc -> c\\n_R_WEAKER[Reduction.c] |= Reduction.w # c -> w\\n\\n_R_WEAKER[Reduction.sW] |= Reduction.W | Reduction.sc # sW -> W, sc\\n_R_WEAKER[Reduction.W] |= Reduction.gW | Reduction.c # W -> gW, c\\n_R_WEAKER[Reduction.gW] |= Reduction.w # gW -> w\\n\\n_completeImplications(Reduction, _R_WEAKER)\\n\\n_R_STRONGER = _reverseImplications(Reduction, _R_WEAKER)\\n\\nReduction.weaker = lambda r: _R_WEAKER[r]\\nReduction.stronger = lambda r: _R_STRONGER[r]\\n\\n_F_STRONGER = {f:f for f in Form}\\n\\n_F_STRONGER[Form.Pi13] |= Form.Pi12 # Pi12 implies Pi13\\n_F_STRONGER[Form.Pi12] |= Form.rPi12 # rPi12 implies Pi12\\n_F_STRONGER[Form.rPi12] |= Form.Pi11 # Pi11 implies rPi12\\n_F_STRONGER[Form.Pi11] |= Form.Sig04 # Sig04 implies Pi11\\n_F_STRONGER[Form.Pi11] |= Form.Pi04 # Pi04 implies Pi11\\n_F_STRONGER[Form.Pi11] |= Form.uPi03 # uPi03 implies Pi11\\n_F_STRONGER[Form.Sig04] |= Form.Sig03 # Sig03 implies Sig04\\n_F_STRONGER[Form.Sig04] |= Form.Pi03 # Pi03 implies Sig04\\n_F_STRONGER[Form.Pi04] |= Form.Sig03 # Sig03 implies Pi04\\n_F_STRONGER[Form.Pi04] |= Form.Pi03 # Pi03 implies Pi04\\n_F_STRONGER[Form.uPi03] |= Form.Pi03 # Pi03 implies uPi03\\n_F_STRONGER[Form.Sig03] |= Form.Sig02 # Sig02 implies Sig03\\n_F_STRONGER[Form.Sig03] |= Form.Pi02 # Pi02 implies Sig03\\n_F_STRONGER[Form.Pi03] |= Form.Sig02 # Sig02 implies Pi03\\n_F_STRONGER[Form.Pi03] |= Form.Pi02 # Pi02 implies Pi03\\n\\n_completeImplications(Form, _F_STRONGER)\\n\\n_F_WEAKER = _reverseImplications(Form, _F_STRONGER)\\n\\nForm.weaker = lambda f: _F_WEAKER[f]\\nForm.stronger = lambda f: _F_STRONGER[f]\"\n },\n {\n \"alpha_fraction\": 0.5429601073265076,\n \"alphanum_fraction\": 0.5495439171791077,\n \"avg_line_length\": 35.15292739868164,\n \"blob_id\": \"bb8d0339eca1975cee5ce7190ec57473c133537f\",\n \"content_id\": \"610a686931b1850467b07d354d59878a44733d7b\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 27188,\n \"license_type\": \"permissive\",\n \"max_line_length\": 179,\n \"num_lines\": 752,\n \"path\": \"/rmzoo.py\",\n \"repo_name\": \"TonichaC/rmzoo\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#! /usr/bin/env python\\n\\n##################################################################################\\n#\\n# The Reverse Mathematics Zoo\\n# by Damir Dzhafarov\\n# - Version 1.0 started August, 2010\\n# - Version 2.0 started August, 2013\\n# Revised by Eric Astor\\n# - Version 3.0 - 29 May 2016\\n# - Version 4.0 - started 30 May 2016\\n# - Version 4.1 - optimizations & refactoring, started 2 July 2016\\n# - Version 4.2 - new forms and reasoning, started 12 July 2016\\n# - Version 4.3 - changed internal representations, started 21 July 2016\\n# - Version 4.4 - moved to a shelf database, started 25 July 2016\\n# - Version 5.0 - clean implementation of inference rules, started 1 August 2016\\n# - Version 5.1 - reverted from shelf database for cross-platform compatibility, started 16 August 2016\\n# Documentation and support: http://rmzoo.uconn.edu\\n#\\n##################################################################################\\n\\nfrom __future__ import print_function\\n\\nimport os, sys\\n\\nimport itertools\\nfrom io import open\\nfrom collections import defaultdict\\n\\nfrom version_guard import isString\\n\\nimport zlib\\ntry:\\n import cPickle as pickle\\nexcept:\\n import pickle\\n\\nfrom rmupdater import standardizeFact\\n\\ndef eprint(*args, **kwargs):\\n print(*args, file=sys.stderr, **kwargs)\\n\\nError = False\\ndef warning(s):\\n global Error\\n Error = True\\n eprint(s)\\n\\ndef error(s): # Throw exception\\n raise Exception(s)\\n\\nDate = u'16 August 2016'\\nVersion = u'5.1'\\nDatabaseVersion = u'5.1'\\n\\nfrom rmBitmasks import *\\nfrom renderJustification import *\\n\\n_FORM_COLOR = {Form.none: \\\"white\\\",\\n Form.weaker(Form.Pi11): \\\"pink\\\",\\n Form.weaker(Form.rPi12): \\\"cyan\\\"}\\n_CONS_COLOR = {Form.none: \\\"white\\\",\\n Form.weaker(Form.Pi11): \\\"pink\\\",\\n Form.weaker(Form.rPi12): \\\"cyan\\\"}\\n \\n##################################################################################\\n#\\n# GET OPTIONS\\n#\\n##################################################################################\\n \\neprint(u'\\\\nRM Zoo (v{0})'.format(Version))\\n\\nfrom optparse import OptionParser, OptionGroup\\n\\nparser = OptionParser(u'Usage: %prog [options] [database]', version=u'%prog {0} ({1})'.format(Version, Date))\\n\\nparser.set_defaults(implications=False,nonimplications=False,omega=False,onlyprimary=False,weak=False,strong=False,showform=False,conservation=False,add_principles=False)\\n\\nparser.add_option('-i', action='store_true', dest='implications',\\n help=u'Display implications between principles.')\\nparser.add_option('-n', action='store_true', dest='nonimplications',\\n help=u'Display non-implications between principles.')\\nparser.add_option('-w', action='store_true', dest='weak',\\n help=u'Display weakest non-redundant open implications.')\\nparser.add_option('-s', action='store_true', dest='strong',\\n help=u'Display strongest non-redundant open implications.')\\nparser.add_option('-t', dest='reducibility', default='RCA',\\n help=u'Display facts relative to REDUCIBILITY-implications.')\\nparser.add_option('-o', action='store_const', dest='reducibility', const='w',\\n help=u'Display only facts that hold in omega models.')\\nparser.add_option('-p', action='store_true', dest='onlyprimary',\\n help=u'Display only facts about primary principles.')\\n \\nparser.add_option('-f', action='store_true', dest='showform',\\n help=u'Indicate syntactic forms of principles.')\\nparser.add_option('-c', action='store_true', dest='conservation',\\n help=u'Display known conservation results.')\\n \\nparser.add_option('-r', dest='restrict_string', metavar='CLASS',\\n help=u'Restrict to only the principles in CLASS.')\\nparser.add_option('--omit', dest='omit_string', metavar='CLASS',\\n help=u'Omit all principles in CLASS.')\\n\\nparser.add_option('-q', dest='query_string', metavar='FACT',\\n help=u'Show whether FACT is known, and if so, its justification.')\\nparser.add_option('-F', dest='query_file', metavar='FILE',\\n help=u'Query whether all facts in FILE are known, and return a list of all unknown facts.')\\n\\nparser.add_option('--force', action='store_true', dest='add_principles',\\n help=u'Allow queries involving novel conjunctions from the database. (WARNING: slow)')\\n\\n(options, args) = parser.parse_args()\\n\\nImplications = options.implications\\nNonImplications = options.nonimplications\\nWeak = options.weak\\nStrong = options.strong\\nReducibility = Reduction.fromString(options.reducibility)\\nOnlyPrimary = options.onlyprimary\\nShowForm = options.showform\\nConservation = options.conservation\\nRestrict = options.restrict_string\\nOmissions = options.omit_string\\nif Restrict:\\n rSet = set()\\n for p in Restrict.split():\\n splitP = p.split(u'+')\\n setP = set(splitP)\\n p = u'+'.join(sorted(setP))\\n \\n rSet.add(p)\\n rSet.update(splitP)\\n Restrict = rSet\\nif Omissions:\\n Omissions = set(Omissions.split())\\nQuery = options.query_string\\nQueryFile = options.query_file\\nAddPrinciples = options.add_principles\\n \\n# Give errors if bad options chosen\\n\\nif not Implications and not NonImplications and not OnlyPrimary and not Restrict and not Weak and not Strong and not ShowForm and not Conservation and not Query and not QueryFile:\\n parser.error(u'No options selected.')\\nif OnlyPrimary:\\n if not Implications and not NonImplications and not Weak and not Strong and not ShowForm and not Conservation:\\n parser.error(u'Option -p only works if one of -i, -n, -w, -s, -f, or -c is selected.')\\nif Restrict or Omissions:\\n if Restrict and Omissions:\\n parser.error(u'Options -r and --omit are incompatible.')\\n if not Implications and not NonImplications and not Weak and not Strong and not ShowForm and not Conservation:\\n parser.error(u'Options -r and --omit only work if one of -i, -n, -w, -s, -f, or -c is selected.')\\nif Query:\\n if Implications or NonImplications or Weak or Strong or ShowForm or Conservation or Restrict or OnlyPrimary or QueryFile:\\n parser.error(u'Option -q does not work with any other option (except --force).')\\nif QueryFile:\\n if Implications or NonImplications or Weak or Strong or ShowForm or Conservation or Restrict or OnlyPrimary or Query:\\n parser.error(u'Option -F does not work with any other option (except --force).')\\n\\nif len(args) > 1:\\n parser.error(u'Too many arguments.')\\nif len(args) > 0:\\n databaseTitle = args[0]\\nelse:\\n eprint(u'No database title specified; defaulting to \\\"database\\\".')\\n databaseTitle = 'database'\\n\\nif os.path.splitext(databaseTitle)[1] == '':\\n databaseName = databaseTitle + os.extsep + 'dat'\\nelse:\\n databaseName = databaseTitle\\n\\n \\n##################################################################################\\n#\\n# IMPORT AND ORGANIZE DATA\\n#\\n##################################################################################\\n\\neprint(u'Importing and organizing data...')\\n\\nclass VersionError(Exception):\\n def __init__(self, targetVersion, actualVersion):\\n super(VersionError, self).__init__(u'Version mismatch: found v{0}, targeting v{1}'.format(actualVersion, targetVersion))\\n\\nprinciples = {}\\nimplies, notImplies = {}, {}\\nconservative, nonConservative = {}, {}\\nform = {}\\nprimary, primaryIndex = {}, {}\\njustify = {}\\ndef getDatabase():\\n return {'version': DatabaseVersion,\\n 'principles': principles,\\n 'implication': (implies, notImplies),\\n 'conservation': (conservative, nonConservative),\\n 'form': form,\\n 'primary': (primary, primaryIndex),\\n 'justify': justify}\\n\\nequivalent = defaultdict(set)\\ndef setDatabase(database):\\n if database['version'] != DatabaseVersion:\\n raise VersionError(DatabaseVersion, database['version'])\\n \\n global principles\\n principles = database['principles']\\n \\n global implies, notImplies\\n implies, notImplies = database['implication']\\n \\n global equivalent\\n for a in principles:\\n for b in principles:\\n for r in Reduction.list(implies[(a,b)] & implies[(b,a)]):\\n equivalent[(a, r)].add(b)\\n \\n global conservative, nonConservative\\n conservative, nonConservative = database['conservation']\\n \\n global form\\n form = database['form']\\n \\n global primary, primaryIndex\\n primary, primaryIndex = database['primary']\\n \\n global justify\\n justify = database['justify']\\n\\ndef loadDatabase(databaseName, quiet=False):\\n with open(databaseName, mode='rb') as databaseFile:\\n compressedDatabase = databaseFile.read()\\n pickledDatabase = zlib.decompress(compressedDatabase)\\n setDatabase(pickle.loads(pickledDatabase))\\nloadDatabase(databaseName)\\n\\ndef knownEquivalent(a, reduction, justification=True):\\n if a in principles:\\n if justification:\\n return (a, None)\\n else:\\n return a\\n \\n splitA = a.split(u'+')\\n if any((p not in principles) for p in splitA):\\n if justification:\\n return (None, None)\\n else:\\n return None\\n \\n aPrime = None\\n for equiv in itertools.product(*(equivalent[(p, reduction)] for p in splitA)):\\n aPrime = u'+'.join(sorted(set(equiv)))\\n if aPrime in principles:\\n if justification:\\n equivJst = tuple((p, (reduction, u'<->'), q) for (p,q) in zip(splitA, equiv) if p != q)\\n return (aPrime, equivJst)\\n else:\\n return aPrime\\n \\n if justification:\\n return (None, None)\\n else:\\n return None\\n \\ndef queryDatabase(a, op, b, justification=True):\\n if op[1] in (u'c', u'nc'):\\n reduction = Reduction.RCA\\n else:\\n reduction = op[0]\\n \\n if justification:\\n aPrime, aJst = knownEquivalent(a, reduction, justification)\\n bPrime, bJst = knownEquivalent(b, reduction, justification)\\n if aJst is not None:\\n justify[(a, (reduction, u'<->'), aPrime)] = aJst\\n if bJst is not None:\\n justify[(b, (reduction, u'<->'), bPrime)] = bJst\\n else:\\n aPrime = knownEquivalent(a, reduction, justification)\\n bPrime = knownEquivalent(b, reduction, justification)\\n \\n aKnown = aPrime is not None\\n bKnown = bPrime is not None\\n \\n aConjunct = (not aKnown) and all((p in principles) for p in a.split(u'+'))\\n bConjunct = (not bKnown) and all((p in principles) for p in b.split(u'+'))\\n \\n s = u''\\n if not aKnown and not bKnown:\\n s += u'{0} and {1} are unknown principles.'.format(a, b)\\n elif not aKnown:\\n s += u'{0} is an unknown principle.'.format(a)\\n elif not bKnown:\\n s += u'{0} is an unknown principle.'.format(b)\\n if aConjunct and bConjunct:\\n s += u'\\\\n\\\\tHOWEVER: {0} and {1} are conjunctions of known principles; try running with --force.'.format(a, b)\\n elif aConjunct and bKnown:\\n s += u'\\\\n\\\\tHOWEVER: {0} is a conjunction of known principles; try running with --force.'.format(a)\\n elif bConjunct and aKnown:\\n s += u'\\\\n\\\\tHOWEVER: {0} is a conjunction of known principles; try running with --force.'.format(b)\\n if len(s) > 0: error(s)\\n \\n if (aPrime, op, bPrime) in justify:\\n if not justification:\\n return True\\n else:\\n r = []\\n if a != aPrime or b != bPrime:\\n r.append(u'\\\\n')\\n if a != aPrime:\\n r.append(u'NOTE: {0} is not a known principle, but is equivalent to {1}\\\\n'.format(a, aPrime))\\n if b != bPrime:\\n r.append(u'NOTE: {0} is not a known principle, but is equivalent to {1}\\\\n'.format(b, bPrime))\\n \\n if a != aPrime:\\n r.append(printJustification((a, (reduction, u'<->'), aPrime), justify))\\n if b != bPrime:\\n r.append(printJustification((b, (reduction, u'<->'), bPrime), justify))\\n r.append(printJustification((aPrime, op, bPrime), justify))\\n return u''.join(r)\\n else:\\n return False\\n\\n##################################################################################\\n#\\n# IF RESTRICT OR QUERY: VALIDATE CLASS\\n#\\n##################################################################################\\n\\nif Restrict:\\n \\n for a in Restrict: # Give warnings if CLASS is not a subset of principles\\n if a not in principles:\\n error(+a+u' is not in the database.')\\n\\nif Omissions:\\n Restrict = principles - Omissions\\n\\n##################################################################################\\n#\\n# IF QUERY: GIVE ANSWER\\n#\\n##################################################################################\\n\\nfrom pyparsing import *\\n\\nname = Word( alphas+\\\"_+^{}\\\\\\\\$\\\", alphanums+\\\"_+^{}$\\\\\\\\\\\")\\n\\n_reductionName = NoMatch()\\nfor r in Reduction:\\n if r != Reduction.none:\\n _reductionName |= Literal(r.name)\\nfor r in Reduction.alias:\\n if r != u'':\\n _reductionName |= Literal(r)\\n_reductionType = _reductionName.setParseAction(lambda s,l,t: [Reduction.fromString(t[0])])\\nreductionType = Optional(_reductionType, default=Reduction.RCA)\\npostfixReductionType = Optional(Suppress(Literal(\\\"_\\\")) + _reductionType, default=Reduction.RCA)\\n\\nimplication = (reductionType + Literal(\\\"->\\\")) | (Literal(\\\"=>\\\") + postfixReductionType).setParseAction(lambda s,l,t: [t[1], \\\"->\\\"])\\nnonImplication = (reductionType + Literal(\\\"-|>\\\")) | (Literal(\\\"=/>\\\") + postfixReductionType).setParseAction(lambda s,l,t: [t[1], \\\"-|>\\\"])\\nequivalence = (reductionType + Literal(\\\"<->\\\")) | (Literal(\\\"<=>\\\") + postfixReductionType).setParseAction(lambda s,l,t: [t[1], \\\"<->\\\"])\\n\\nreduction = (Literal(\\\"<=\\\") + postfixReductionType).setParseAction(lambda s,l,t: [t[1], \\\"<=\\\"])\\nnonReduction = (Literal(\\\"</=\\\") + postfixReductionType).setParseAction(lambda s,l,t: [t[1], \\\"</=\\\"])\\n\\n_formName = NoMatch()\\nfor f in Form:\\n if f != Form.none:\\n _formName |= Literal(f.name)\\nformType = _formName.setParseAction(lambda s,l,t: [Form.fromString(t[0])])\\n\\nconservation = formType + Literal(\\\"c\\\")\\nnonConservation = (Literal(\\\"n\\\") + formType + Literal(\\\"c\\\")).setParseAction(lambda s,l,t: [t[1], \\\"nc\\\"])\\n\\noperator = implication | nonImplication | reduction | nonReduction | equivalence | conservation | nonConservation\\n\\nif Query:\\n query = name + Group(operator) + name + StringEnd()\\n Query = query.parseString(Query)\\n \\n op = Query[1]\\n if not isString(op):\\n op = tuple(op)\\n a, op, b = standardizeFact(Query[0], op, Query[2])\\n \\n if not (a in principles and b in principles) and AddPrinciples:\\n abort = False\\n for p in a.split(u'+'):\\n if p not in principles:\\n abort = True\\n break\\n for p in b.split(u'+'):\\n if p not in principles:\\n abort = True\\n break\\n if not abort:\\n eprint(u'Adding new principles...')\\n import rmupdater\\n rmupdater.setDatabase(getDatabase())\\n if a not in principles:\\n rmupdater.addPrinciple(a)\\n if b not in principles:\\n rmupdater.addPrinciple(b)\\n rmupdater.principlesList = sorted(rmupdater.principles)\\n rmupdater.deriveInferences(quiet=False)\\n setDatabase(rmupdater.getDatabase())\\n \\n jst = queryDatabase(a, op, b)\\n if jst:\\n print(u'Justification for the fact \\\"{0}\\\":\\\\n{1}'.format(printFact(a, op, b), jst))\\n else:\\n print(u'\\\\nError: Unknown fact \\\"{0}\\\"'.format(printFact(a, op, b)))\\n opp = None # opposite operation\\n if op[1] == u'->':\\n opp = (op[0], u'-|>')\\n elif op[1] == u'-|>':\\n opp = (op[0], u'->')\\n elif op[1] == u'c':\\n opp = (op[0], u'nc')\\n elif op[1] == u'nc':\\n opp = (op[0], u'c')\\n \\n if opp is not None:\\n jst = queryDatabase(a, opp, b)\\n if jst:\\n print(u'CONTRADICTING fact known! Justification for the fact \\\"{0}\\\":\\\\n{1}'.format(printFact(a, opp, b), jst))\\n if op[1] == u'<->':\\n opp = (op[0], u'-|>')\\n jst = queryDatabase(a, opp, b)\\n if jst:\\n print(u'CONTRADICTING fact known! Justification for the fact \\\"{0}\\\":\\\\n{1}'.format(printFact(a, opp, b), jst))\\n else:\\n jst = queryDatabase(b, opp, a)\\n if jst:\\n print(u'CONTRADICTING fact known! Justification for the fact \\\"{0}\\\":\\\\n{1}'.format(printFact(b, opp, a), jst))\\n\\nif QueryFile:\\n parenth = Literal('\\\"')\\n justification = QuotedString('\\\"\\\"\\\"',multiline=True) | quotedString.setParseAction(removeQuotes)\\n \\n fact = name + ((Group(operator) + name + Suppress(Optional(justification))) | (Literal('form') + formType) | (Literal('is') + Literal('primary')))\\n \\n queries = []\\n with open(QueryFile, encoding='utf-8') as f:\\n for q in f.readlines():\\n q = q.strip()\\n if len(q) == 0 or q[0] == u'#': continue\\n \\n Q = fact.parseString(q)\\n if Q[1] == u'is' and Q[2] == u'primary': continue\\n \\n a,op,b = Q\\n if not isString(op):\\n op = tuple(op)\\n a,op,b = standardizeFact(a, op, b)\\n \\n queries.append((a, op, b, q))\\n \\n if AddPrinciples:\\n newPrinciples = set()\\n unknownPrinciples = set()\\n for (a, op, b, q) in queries:\\n unknown = False\\n \\n Q = a.split(u'+')\\n if op != u'form':\\n Q.extend(b.split(u'+'))\\n for p in Q:\\n if p not in principles:\\n unknownPrinciples.add(p)\\n unknown = True\\n if not unknown:\\n if a not in principles: newPrinciples.add(a)\\n if op != u'form' and b not in principles: newPrinciples.add(b)\\n \\n if len(unknownPrinciples) > 0:\\n warning(u'Unknown principles: {0}\\\\n'.format(u', '.join(sorted(unknownPrinciples))))\\n if len(newPrinciples) > 0:\\n eprint(u'Adding {0:,d} new principles...'.format(len(newPrinciples)))\\n import rmupdater\\n rmupdater.setDatabase(getDatabase())\\n for p in newPrinciples:\\n rmupdater.addPrinciple(p)\\n rmupdater.principlesList = sorted(rmupdater.principles)\\n rmupdater.deriveInferences(quiet=False)\\n setDatabase(rmupdater.getDatabase())\\n \\n for (a, op, b, q) in queries:\\n s = u''\\n known = False\\n if op == u'form':\\n known = Form.isPresent(b, form[a])\\n else:\\n try:\\n known = queryDatabase(a, op, b, justification=False)\\n except Exception as e:\\n s += u'\\\\n' + str(e)\\n \\n if not known:\\n s += u'\\\\nUnknown fact: ' + q\\n \\n if len(s) > 0:\\n warning(s)\\n eprint(u'\\\\nFinished.')\\n\\n##################################################################################\\n#\\n# IF RESTRICT: DELETE PRINCIPLES NOT IN CLASS\\n#\\n##################################################################################\\n\\nif Restrict:\\n principles &= Restrict\\n \\n##################################################################################\\n#\\n# IF DIAGRAM: REMOVE REDUNDANT IMPLICATIONS AND NON-IMPLICATIONS \\n#\\n##################################################################################\\n\\nif Implications or NonImplications or Weak or Strong:\\n\\n eprint(u'Removing redundant facts for clarity...')\\n \\n # Create print versions of functions\\n \\n simpleImplies = defaultdict(bool)\\n printImplies = defaultdict(bool)\\n \\n simpleNotImplies = defaultdict(bool)\\n printNotImplies = defaultdict(bool)\\n \\n equivalent = defaultdict(bool)\\n \\n simpleConservative = defaultdict(noForm)\\n printConservative = defaultdict(noForm)\\n \\n printWeakOpen = defaultdict(bool)\\n printStrongOpen = defaultdict(bool)\\n \\n for a in principles:\\n for b in principles:\\n if a == b: # Remove self-relations to not confuse DOT reader\\n continue\\n \\n simpleImplies[(a,b)] = Reduction.isPresent(Reducibility, implies[(a,b)])\\n printImplies[(a,b)] = simpleImplies[(a,b)]\\n \\n simpleNotImplies[(a,b)] = Reduction.isPresent(Reducibility, notImplies[(a,b)])\\n printNotImplies[(a,b)] = simpleNotImplies[(a,b)]\\n \\n if simpleImplies[(a,b)] and simpleImplies[(b,a)]:\\n equivalent[(a,b)] = True\\n equivalent[(b,a)] = True\\n \\n simpleConservative[(a,b)] = conservative[(a,b)]\\n printConservative[(a,b)] = simpleConservative[(a,b)]\\n \\n # Assign primaries and make them unique\\n \\n for a in sorted(principles):\\n currentPrimary = a\\n found = False\\n toRemove = set()\\n for b in primaryIndex:\\n if currentPrimary == b:\\n found = True\\n continue\\n if equivalent[(currentPrimary,b)]:\\n if found:\\n toRemove.add(b)\\n else:\\n if currentPrimary in primary:\\n toRemove.add(currentPrimary)\\n currentPrimary = b\\n found = True\\n if currentPrimary not in primary:\\n primary.add(currentPrimary)\\n primaryIndex.append(currentPrimary)\\n for x in toRemove:\\n primaryIndex.remove(x)\\n primary.difference_update(toRemove)\\n \\n for a in principles: # Remove facts involving non-primary principles\\n if a not in primary:\\n for b in principles:\\n printImplies[(a,b)] = False\\n printImplies[(b,a)] = False\\n \\n printNotImplies[(a,b)] = False\\n printNotImplies[(b,a)] = False\\n \\n printConservative[(a,b)] = Form.none\\n\\n # Remove redundant implications\\n \\n for a in primary:\\n for b in primary:\\n for c in primary: # Remove implications obtained by transitivity\\n if simpleImplies[(b,a)] and simpleImplies[(a,c)]:\\n printImplies[(b,c)] = False\\n\\n # Remove redundant non-implications\\n\\n for a in primary:\\n for b in primary:\\n if b == a: continue\\n for c in primary:\\n if c == a or c == b: continue\\n \\n if simpleNotImplies[(a,c)] and simpleImplies[(b,c)]: # If a -|> c, but b -> c, then a -|> b.\\n printNotImplies[(a,b)] = False\\n if simpleImplies[(c,a)] and simpleNotImplies[(c,b)]: # If c -> a, but c -|> b, then a -|> b.\\n printNotImplies[(a,b)] = False\\n \\n # Remove redundant conservation facts\\n\\n for a in primary: # Remove conservation results obtained by transitivity\\n for b in primary:\\n if b == a: continue\\n for c in primary:\\n if c == a or c == b: continue\\n \\n if simpleImplies[(a,b)]:\\n printConservative[(b,c)] &= ~simpleConservative[(a,c)]\\n if simpleImplies[(b,c)]:\\n printConservative[(a,b)] &= ~simpleConservative[(a,c)]\\n \\n # Generate open implications\\n\\n for a in primary:\\n for b in primary:\\n if b == a: continue\\n \\n if not simpleImplies[(a,b)] and not simpleNotImplies[(a,b)]:\\n printWeakOpen[(a,b)] = True\\n printStrongOpen[(a,b)] = True\\n\\n for a in primary:\\n for b in primary:\\n if b == a: continue\\n for c in primary:\\n if c == a or c == b: continue\\n \\n if simpleImplies[(c,a)] and not simpleImplies[(c,b)] and not simpleNotImplies[(c,b)]: # c -> a, c ? b\\n printWeakOpen[(a,b)] = False\\n if simpleImplies[(c,a)] and not simpleImplies[(b,a)] and not simpleNotImplies[(b,a)]: # c -> a, b ? a\\n printWeakOpen[(b,c)] = False\\n \\n if simpleImplies[(a,c)] and not simpleImplies[(c,b)] and not simpleNotImplies[(c,b)]: # a -> c, c ? b\\n printStrongOpen[(a,b)] = False\\n if simpleImplies[(a,c)] and not simpleImplies[(b,a)] and not simpleNotImplies[(b,a)]: # a -> c, b ? a\\n printStrongOpen[(b,c)] = False\\n \\n # Find all equivalent principles\\n \\n equivSet = defaultdict(set)\\n for a in primary:\\n for b in principles:\\n if equivalent[(a,b)]:\\n equivSet[a].add(b)\\n \\n##################################################################################\\n#\\n# IF DIAGRAM: PRINT OUT THE DOT FILE\\n#\\n################################################################################## \\n\\nif Implications or NonImplications or Weak or Strong or ShowForm or Conservation:\\n\\n eprint(u'Printing DOT file...')\\n eprint(\\\"\\\\tDiagram contains {0} non-equivalent principles.\\\".format(len(primary)))\\n\\n print(\\\"\\\"\\\"//\\n// RM Zoo (v\\\"\\\"\\\" + Version + \\\"\\\"\\\")\\n//\\n\\ndigraph G {\\n\\ngraph [\\n rankdir = TB // put stronger principles higher up\\n ranksep = 1.5\\n ]\\n\\n//\\n// Node Styles\\n//\\n\\nnode [shape=none,color=white];\\n\\n//\\n// Data\\n//\\\"\\\"\\\")\\n\\n if Implications:\\n \\n for a in primary:\\n for b in primary:\\n if printImplies[(a,b)]:\\n style = []\\n if printNotImplies[(b,a)] and not NonImplications:\\n style.append(u'color = \\\"black:white:black\\\"')\\n if len(equivSet[a]) > 0 and not OnlyPrimary:\\n style.append(u'minlen = 2')\\n s = u''\\n if len(style) > 0:\\n s = u' [{0}]'.format(u', '.join(style))\\n print(u'\\\" {0} \\\" -> \\\" {1} \\\"{2}'.format(a,b,s))\\n \\n if NonImplications:\\n \\n for a in primary:\\n for b in primary:\\n if printNotImplies[(a,b)]:\\n print(u'\\\" {0} \\\" -> \\\" {1} \\\" [color = \\\"red\\\"]'.format(a,b))\\n \\n if not OnlyPrimary:\\n for a in primary:\\n for b in equivSet[a]:\\n print(u'\\\" {0} \\\" -> \\\" {1} \\\" [dir = both]'.format(a,b))\\n \\n if Weak:\\n for a in primary:\\n for b in primary:\\n if printWeakOpen[(a,b)]:\\n print(u'\\\" {0} \\\" -> \\\" {1} \\\" [color = \\\"green\\\"]'.format(a,b))\\n \\n if Strong:\\n for a in primary:\\n for b in primary:\\n if printStrongOpen[(a,b)]:\\n print(u'\\\" {0} \\\" -> \\\" {1} \\\" [color = \\\"orange\\\"]'.format(a,b))\\n \\n if ShowForm:\\n for a in principles:\\n if a in form:\\n if form[a] != Form.none:\\n print(u'\\\" {0} \\\" [shape=box, style=filled, fillcolor={1}]'.format(a, _FORM_COLOR[form[a]]))\\n \\n \\n if Conservation:\\n for a in primary:\\n for b in primary:\\n if a == b: continue\\n \\n if printConservative[(a,b)] != Form.none:\\n print(u'\\\" {0} \\\" -> \\\" {1} \\\" [color = \\\"{2}\\\"]'.format(a,b, _CONS_COLOR[printConservative[(a,b)]]))\\n\\n print(u'}')\\n eprint(u'Finished.')\\n\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":7,"string":"7"}}},{"rowIdx":2980083,"cells":{"repo_name":{"kind":"string","value":"MAHT1990/HomeRoom_Project"},"repo_url":{"kind":"string","value":"https://github.com/MAHT1990/HomeRoom_Project"},"snapshot_id":{"kind":"string","value":"6a653ad946ed41aff5baebe34d2f17e8c4150127"},"revision_id":{"kind":"string","value":"9141ac1d9838b033d79e5add7db91f368c58ea36"},"directory_id":{"kind":"string","value":"b1a584973d1205da924dc61e7a4bedd3786dc6f0"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2023-02-15T02:11:45.585875","string":"2023-02-15T02:11:45.585875"},"revision_date":{"kind":"timestamp","value":"2021-01-05T14:02:06","string":"2021-01-05T14:02:06"},"committer_date":{"kind":"timestamp","value":"2021-01-05T14:02:06","string":"2021-01-05T14:02:06"},"github_id":{"kind":"null"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.7012835741043091,"alphanum_fraction":0.7012835741043091,"avg_line_length":29.60714340209961,"blob_id":"f1cc57a755eec144b7153a8fc69f5c9e23df8168","content_id":"64daf1646926c522cc340e90536a05348c95db92","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":857,"license_type":"no_license","max_line_length":64,"num_lines":28,"path":"/dot/admin.py","repo_name":"MAHT1990/HomeRoom_Project","src_encoding":"UTF-8","text":"from django.contrib import admin\nfrom .models import *\n# Register your models here.\n\n@admin.register(State)\nclass StateAdmin(admin.ModelAdmin):\n list_display=['id','state']\n list_display_links=['id','state']\n\n@admin.register(Notice)\nclass NoticeAdmin(admin.ModelAdmin):\n list_display=['id','content']\n list_display_links=['id','content']\n\n@admin.register(NoticeDetail)\nclass NoticeDetailAdmin(admin.ModelAdmin):\n list_display=['id','detail','notice']\n list_display_links=['id','detail','notice']\n\n@admin.register(EventSet)\nclass EventSetAdmin(admin.ModelAdmin):\n list_display=['id','dayname','day','lastday','image']\n list_display_links=['id','dayname','image']\n\n@admin.register(Eval)\nclass EvalAdmin(admin.ModelAdmin):\n list_display=['id','type','dayname','day','lastday','image']\n list_display_links=['id','dayname','image']\n"},{"alpha_fraction":0.6913061738014221,"alphanum_fraction":0.6921461820602417,"avg_line_length":27.177515029907227,"blob_id":"add6107fde49f9cb54def26040b14385c9f66030","content_id":"557136a33198621c5835167fbf6089f2abfef710","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":5110,"license_type":"no_license","max_line_length":98,"num_lines":169,"path":"/dot/views.py","repo_name":"MAHT1990/HomeRoom_Project","src_encoding":"UTF-8","text":"from django.shortcuts import render, redirect\nfrom django.http import HttpResponse, HttpResponseRedirect, JsonResponse\nfrom django.urls import reverse\nfrom django.views.decorators.csrf import csrf_exempt\nfrom .models import *\n# Create your views here.\n\n\n\ndef page1(request):\n return redirect(\"dot:morning_assemble\")\n\n\ndef calendar(request):\n EventSets = EventSet.objects.all()\n # EventSets 는 queryset임.\n # 여기서 데이터베이스에 접근 할 줄 알지만, 그것이 아니다.\n # queryset 형태로 가져옴 . 데이터베이스에 접근하기 위한 SQL을 담고있는 애.\n # 그러므로 실제로 접근하기 전에 .filter 메쏘드로 필터링을 할 수 있다.\n # queryset.filter 를 이용해서 필터링된 queryset을 또 만들 수 있음.\n # queryset sql을 담고있는 장고를 위한 자료형\n # chaining(특정조건을 계속 거는 것 ; filter)\n # lazy(계속 늦추다가, database에 꼭 필요할 때만 접근한다는 의미)\n\n Evals = Eval.objects.all()\n content = {\n 'EventSets': EventSets,\n 'Evals': Evals,\n }\n\n return render(request, 'dot/calendar.html', content)\n # template으로 넘겨줄 때 데이터베이스에서 자료를 가져옴.\n\n\ndef calendar_next(request):\n return render(request, 'dot/calendar_next.html')\n\n@csrf_exempt\ndef morning_assemble(request):\n States = State.objects.last()\n Notices = Notice.objects.all()\n EventSets = EventSet.objects.all()\n Evals = Eval.objects.all()\n\n response_data = {\n 'status': 200,\n 'msg': 'success',\n 'States': States,\n 'Notices': Notices,\n 'EventSets': EventSets,\n 'Evals': Evals,\n # TODO: EventSets 와 Evals는\n }\n\n return render(request, 'dot/morning_assemble.html', response_data)\n\n\ndef time_table(request):\n return render(request, 'dot/time_table.html')\n\n\ndef create_delete(request):\n States = State.objects.last()\n Notices = Notice.objects.all()\n EventSets = EventSet.objects.all()\n Evals = Eval.objects.all()\n\n content = {\n 'States': States,\n 'Notices': Notices,\n 'EventSets': EventSets,\n 'Evals': Evals,\n }\n return render(request, 'dot/create_delete.html', content)\n\n\n# TODO : API 수정하기 (각 method별로 새로 함수를 짜서 정리한다.)\ndef Create_State(request):\n user_input_state = request.POST.get(\"State_state\")\n\n new_State = State(state=user_input_state)\n new_State.save()\n return HttpResponseRedirect(reverse(\"dot:create_delete\"))\n\n\ndef Create_Notice(request):\n user_input_notice = request.POST.get('Notice_content')\n\n new_Notice = Notice(content=user_input_notice)\n new_Notice.save()\n return HttpResponseRedirect(reverse(\"dot:create_delete\"))\n\n\ndef Create_NoticeDetail(request):\n noticedetail_object_id = request.POST.get(\"Notice_id\")\n noticedetail_object_detail = request.POST.get(\"NoticeDetail_detail\")\n noticedetail_object = Notice.objects.get(id=noticedetail_object_id)\n\n new_noticedetail = NoticeDetail(notice=noticedetail_object, detail=noticedetail_object_detail)\n new_noticedetail.save()\n\n return HttpResponseRedirect(reverse('dot:create_delete'))\n\n\ndef Delete_Notice(request):\n delete_id = request.GET['Notice_id']\n\n delete_Notice = Notice.objects.get(id=delete_id)\n delete_Notice.delete()\n return HttpResponseRedirect(reverse('dot:create_delete'))\n\n\ndef Delete_NoticeDetail(request):\n delete_id = request.GET['NoticeDetail_id']\n\n delete_NoticeDetail = NoticeDetail.objects.get(id=delete_id)\n delete_NoticeDetail.delete()\n return HttpResponseRedirect(reverse('dot:create_delete'))\n\n\ndef Create_EventSet(request):\n # return HttpResponse('add!')\n user_input_day = request.POST.get('EventSet_day')\n user_input_lastday = request.POST.get('EventSet_lastday')\n user_input_dayname = request.POST.get('EventSet_dayname')\n\n new_EventSet = EventSet(\n day=user_input_day,\n lastday=user_input_lastday,\n dayname=user_input_dayname\n )\n new_EventSet.save()\n\n # return redirect(\"dot:morning_assemble\")\n return HttpResponseRedirect(reverse(\"dot:create_delete\"))\n # return HttpResponse(user_input_dayname + user_input_day + user_input_lastday)\n\n\ndef Create_Eval(request):\n user_input_type = request.POST['Eval_type']\n user_input_day = request.POST['Eval_day']\n user_input_lastday = request.POST['Eval_lastday']\n user_input_dayname = request.POST['Eval_dayname']\n\n new_Eval = Eval(\n type=user_input_type,\n day=user_input_day,\n lastday=user_input_lastday,\n dayname=user_input_dayname\n )\n new_Eval.save()\n\n return HttpResponseRedirect(reverse(\"dot:create_delete\"))\n\n\ndef Delete_EventSet(request):\n delete_id = request.GET['EventSet_id']\n\n delete_EventSet = EventSet.objects.get(id=delete_id)\n delete_EventSet.delete()\n return HttpResponseRedirect(reverse('dot:create_delete'))\n\n\ndef Delete_Eval(request):\n delete_id = request.GET['Eval_id']\n\n delete_Eval = Eval.objects.get(id=delete_id)\n delete_Eval.delete()\n return HttpResponseRedirect(reverse('dot:create_delete'))\n"},{"alpha_fraction":0.6865248084068298,"alphanum_fraction":0.6971631050109863,"avg_line_length":27.200000762939453,"blob_id":"e98a21896f88094a4112e61225b010524c86a749","content_id":"d8d8e0db6bd64b05b1bab9c03d6bd7b602ee37bf","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1892,"license_type":"no_license","max_line_length":69,"num_lines":50,"path":"/dot/models.py","repo_name":"MAHT1990/HomeRoom_Project","src_encoding":"UTF-8","text":"from django.db import models\n\n# Create your models here.\n\nclass State(models.Model):\n state=models.CharField(max_length=255)\n\n def __str__(self):\n return self.state\n \nclass Notice(models.Model):\n content=models.CharField(max_length=255)\n\n def __str__(self):\n return self.content\n\nclass NoticeDetail(models.Model):\n detail=models.CharField(max_length=255)\n notice=models.ForeignKey(Notice, on_delete=models.CASCADE)\n\ndef image_file_rename(instance, filename):\n return '{}.jpg'.format(instance.dayname)\nclass SpecialDay(models.Model):\n dayname = models.CharField(max_length = 255,null=True)\n day = models.DateField(null=True)\n lastday = models.DateField(null=True)\n image = models.ImageField(upload_to=image_file_rename, null=True)\n\n class Meta:\n abstract = True\n\nclass EventSet(SpecialDay):\n pass\n #블록이 형성되면 반드시, 블록안에 코드가 있어야 하며,\n #코드가 안들어가는 경우, pass 코드를 입력해주면 된다.\n\nclass Eval(SpecialDay):\n type = models.CharField(max_length = 255,null=True)\n\n\n#통일한다. type 값에 Null = True 해서\n#JAVASCRIPT로 들어갈 때, type값이 null이면 event로 넣어주고,\n#null이 아니면, Eval로 넣어주는 방식으로 데이터베이스를 통일시켜주는 것도 좋다.\n#쪼갰을 때 나은 경우가 있고, 합쳤을 떄 나은 경우가 있다.\n##게시글의 제목, 내용 이랑 사용자 정보를 모델\n##상속을 이용해도 됨.\n##부모클래스를 만들어서, 둘 다 상속을 받을 수 있도록 하는 것도 좋은 방법.\n##class Meta 에서 abstract = True 로 줘서 데이터베이스에 실제 반영이 안되도록.\n##근데 자식 class에서 인스턴스를 만들면, 부모한테도 만들어져서 복잡해짐.\n##abstract는 데이터베이스를 실제로 안만드는 결과도 있지만,\n"},{"alpha_fraction":0.7079287767410278,"alphanum_fraction":0.7103559970855713,"avg_line_length":60.79999923706055,"blob_id":"d0daa25c97638e15408a74049dc1652c05039e77","content_id":"b679550bbc905be2597b094ef117c8dab06d4dbe","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1236,"license_type":"no_license","max_line_length":102,"num_lines":20,"path":"/dot/urls.py","repo_name":"MAHT1990/HomeRoom_Project","src_encoding":"UTF-8","text":"from django.urls import path\nfrom . import views\n\nurlpatterns = [\n path('calendar_next/', views.calendar_next, name=\"calendar_next\"),\n path('calendar/', views.calendar, name=\"calendar\"),\n path('create_delete/Create_State/', views.Create_State, name=\"Create_State\"),\n path('create_delete/Create_NoticeDetail/', views.Create_NoticeDetail, name=\"Create_NoticeDetail\"),\n path('create_delete/Create_Notice/', views.Create_Notice, name=\"Create_Notice\"),\n path('create_delete/Delete_NoticeDetail/', views.Delete_NoticeDetail, name=\"Delete_NoticeDetail\"),\n path('create_delete/Delete_Notice/', views.Delete_Notice, name=\"Delete_Notice\"),\n path('create_delete/Create_EventSet/', views.Create_EventSet, name=\"Create_EventSet\"),\n path('create_delete/Create_Eval/', views.Create_Eval, name=\"Create_Eval\"),\n path('create_delete/', views.create_delete, name=\"create_delete\"),\n path('create_delete/Delete_EventSet/', views.Delete_EventSet, name=\"Delete_EventSet\"),\n path('create_delete/Delete_Eval/', views.Delete_Eval, name=\"Delete_Eval\"),\n path('page1/', views.page1, name=\"page1\"),\n path('time_table/', views.time_table, name=\"time_table\"),\n path('', views.morning_assemble, name=\"morning_assemble\"),\n]\n"},{"alpha_fraction":0.6865671873092651,"alphanum_fraction":0.6865671873092651,"avg_line_length":18.14285659790039,"blob_id":"137185e8c4f0cf436c397eec347ca34a68996bee","content_id":"feb2502bb8a3de3608bf6923ac681edfd38df432","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":134,"license_type":"no_license","max_line_length":36,"num_lines":7,"path":"/api/urls.py","repo_name":"MAHT1990/HomeRoom_Project","src_encoding":"UTF-8","text":"from django.urls import path\nfrom . import views\n\nurlpatterns = [\n path('eventset',views.eventset),\n path('eval',views.eval),\n]\n"},{"alpha_fraction":0.8269230723381042,"alphanum_fraction":0.8269230723381042,"avg_line_length":25,"blob_id":"ec3f0aeadd3341bbaa886bf172d11824bf234d8d","content_id":"367944a304248c5a49a6e803e6c41e575b170315","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":52,"license_type":"no_license","max_line_length":32,"num_lines":2,"path":"/README.md","repo_name":"MAHT1990/HomeRoom_Project","src_encoding":"UTF-8","text":"# HomeRoom_Project\nVarious Tools for Homeroom_Class\n"},{"alpha_fraction":0.7283950448036194,"alphanum_fraction":0.7283950448036194,"avg_line_length":15.199999809265137,"blob_id":"4010f0ba7b6e0a2f4e5787bfa6d48f6a799cfa56","content_id":"a66f5395b759526d7abba728bcd8eb9a7381c4e6","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":81,"license_type":"no_license","max_line_length":33,"num_lines":5,"path":"/dot/apps.py","repo_name":"MAHT1990/HomeRoom_Project","src_encoding":"UTF-8","text":"from django.apps import AppConfig\n\n\nclass DotConfig(AppConfig):\n name = 'dot'\n"},{"alpha_fraction":0.5269590020179749,"alphanum_fraction":0.5312724709510803,"avg_line_length":24.290908813476562,"blob_id":"d3d29fd52a21f496531892215d65165b8c878ba0","content_id":"9d183c0d0c9efe6713cfb0b1bce03627717a7cdd","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1397,"license_type":"no_license","max_line_length":72,"num_lines":55,"path":"/api/views.py","repo_name":"MAHT1990/HomeRoom_Project","src_encoding":"UTF-8","text":"from django.shortcuts import render, redirect\nfrom django.http import HttpResponse, HttpResponseRedirect, JsonResponse\nfrom django.urls import reverse\nfrom django.views.decorators.csrf import csrf_exempt\nfrom dot.models import *\n\n#dot의 models에서\n\n# Create your views here.\n@csrf_exempt\ndef eventset(request):\n response_data = {\n 'status': 200,\n 'msg': 'success',\n 'data': []\n }\n\n if request.method == 'GET':\n EventSets = EventSet.objects.all()\n for eventset in EventSets:\n item = {\n 'id': eventset.id,\n 'dayname': eventset.dayname,\n 'day': eventset.day,\n 'lastday': eventset.lastday,\n 'image': None\n }\n response_data['data'].append(item)\n else:\n pass\n\n return JsonResponse(response_data)\n\ndef eval(request):\n response_data = {\n 'status': 200,\n 'msg': 'success',\n 'data': []\n }\n\n if request.method == 'GET':\n Evals = Eval.objects.all()\n for eval in Evals:\n item = {\n 'id': eval.id,\n 'type': eval.type,\n 'theday': eval.day,\n 'lastday': eval.lastday,\n 'dayname': eval.dayname\n }\n response_data['data'].append(item)\n else:\n pass\n\n return JsonResponse(response_data)\n"},{"alpha_fraction":0.5574886798858643,"alphanum_fraction":0.6051437258720398,"avg_line_length":27.12765884399414,"blob_id":"9db5ec7992888d6fa1a326bcf3ce75c40f5ccbd1","content_id":"2318c413a748f47d15a33832cc0399dff0a2e42a","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"JavaScript","length_bytes":1568,"license_type":"no_license","max_line_length":88,"num_lines":47,"path":"/@SAMPLES/js/Dday1.js","repo_name":"MAHT1990/HomeRoom_Project","src_encoding":"UTF-8","text":"function Event(theday, dayname) {\n this.dayname = dayname;\n this.day = theday\n this.dday = function() {\n\n /*theday 입력형태는 2020-00-00\n 한자리수 달도 0을 붙여야 함. 2020-01-04\n */\n /*dayname : 행사명 : 문자열 */\n\n var today = new Date();\n var theveryday = new Date(this.day);\n\n var today_seconds = today.getTime();\n var theveryday_seconds = theveryday.getTime();\n /*getTime 메쏘드는\n 기준시각으로부터 입력시각까지의 1/1000초 단위로 반환*/\n\n /* 점검용 writhe 함수들\n document.write(today + '<br />');\n document.write(today_seconds + '<br />');\n document.write(theveryday + '<br />');\n document.write(theveryday_seconds + '<br />');\n\n document.write(theveryday_seconds - today_seconds + '<br />')\n document.write(Math.ceil((theveryday_seconds - today_seconds)/86400000)+'<br />');\n */\n\n return [Math.ceil((theveryday_seconds - today_seconds)/86400000), dayname];\n /*행사 일시에서 오늘 일시를 뺀 다음 하루로 나눈다(86400 * 1000 밀리초)\n 다음 Math.ceil (올림함수) 메쏘드를 이용하여 남을 일 수를 반환토록 한다\n Array의 형태로, dday 값과, 행사이름을 반환하도록.*/\n\n }\n }\n\n\n /* Example */\n /*\n var someday = new Event(\"2020-05-28\",\"아무날\")\n document.write(someday.dday());\n document.write(someday.dayname)\n\n var oneday = new Event(\"2020-06-06\",\"현충일\")\n document.write(oneday.dday());\n document.write(oneday.dayname);\n */\n"},{"alpha_fraction":0.5453658699989319,"alphanum_fraction":0.5549718737602234,"avg_line_length":36.42977523803711,"blob_id":"63b3df9d6c4d5e8ac6b6e84145169a689a940467","content_id":"0960f5f8f44b26e43748a28d92f269c3f4f01799","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"JavaScript","length_bytes":15499,"license_type":"no_license","max_line_length":150,"num_lines":356,"path":"/dot/static/dot/js/Dday2.js","repo_name":"MAHT1990/HomeRoom_Project","src_encoding":"UTF-8","text":"function EventSet(theday, lastday, dayname) {\n\tthis.dayname = dayname;\n\tthis.day = theday\n\tthis.lastday = lastday\n\tthis.dday = function() {\n\n\t\t/* theday, lastday 입력형태는 2020-00-00\n\t\t한자리수 달도 0을 붙여야 함. 2020-01-04 */\n\t\t/* dayname : 행사명 : 문자열 */\n\t\t/* color : 달력에 표시할 색깔 : 문자열*/\n\t\tvar today = new Date();\n\t\t//Date 객체를 이용하여, today 변수를 정의한다\n\t\tvar today_year = today.getFullYear();\n\t\t//getFullYear()메쏘드를 미용하여 올해 년을 받아 변수로 정의한다.\n\t\tvar today_month = today.getMonth() + 1;\n\t\t//getMonth()메쏘드를 이용하여 월을 받아 변수로 정의한다.\n\t\t// 주의! getMonth()메쏘드는 월을 0 ~ 11로 반환한다.\n\t\tvar today_date = today.getDate();\n\t\t//getDate()메쏘드를 이용하여 일을 받아 변수로 정의한다.\n\n\t\tvar today_form = new Date(today_year.toString() + '-' + today_month.toString() + '-' + today_date.toString());\n\t\t//new Date()로 오늘을 정의하면, 시분초가 다나오므로 컷트해줘야함.\n\t\tvar theveryday = new Date(this.day);\n\n\t\tvar today_seconds = today_form.getTime();\n\t\tvar theveryday_seconds = theveryday.getTime() - 32400000;\n\t\t/*getTime 메쏘드는\n\t\t기준시각으로부터 입력시각까지의 1/1000초 단위로 반환*/\n\t\t/*Date Object는 기준시각을 오전 9시로 하므로, 오전 9만큼\n\t\t시간을 빼주어야 한다.*/\n\n\t\treturn Math.ceil((theveryday_seconds - today_seconds) / 86400000);\n\t\t/*행사 일시에서 오늘 일시를 뺀 다음 하루로 나눈다(86400 * 1000 밀리초)\n\t\t다음 Math.ceil (올림함수) 메쏘드를 이용하여 남을 일 수를 반환토록 한다\n\t\tArray의 형태로, dday 값과, 행사이름을 반환하도록.*/\n\t} //--dday method 종료.\n\n\tthis.write_del = function() {\n\n\t\tEvnt_cntnt_line = document.createElement(\"div\");\n\t\tEvnt_cntnt_line.setAttribute(\"class\", \"Event_cntnt_line\");\n\t\tEvnt_cntnt_line.setAttribute(\"id\", this.dayname);\n\t\t//새로운 줄 만들기\n\t\t//Event_cntnt_line class의 div 태그 생성\n\n\t\tEvnt_cntnt = document.createElement(\"div\");\n\t\tEvnt_cntnt.setAttribute(\"class\", \"Event_cntnt\");\n\t\t//Event이름칸을 만들어 준다.\n\t\t//Event_cntnt class의 div 태그 생성\n\n\t\tEvnt_cntnt_txt = document.createTextNode(this.dayname);\n\t\tEvnt_cntnt.appendChild(Evnt_cntnt_txt);\n\t\t//Event 이름칸에 내용을 채워준다.\n\t\t//Event_cntnt div에 Event_txt를 채워준다.\n\n\n\t\tEvnt_dday = document.createElement(\"div\");\n\t\tEvnt_dday.setAttribute(\"class\", \"Event_dday\");\n\t\t//Event 디데이칸을 만들어 준다.\n\t\t//Event_dday class의 div 태그 생성\n\t\tif (this.dday() > 0) {\n\t\t\t//dday의 값에 따라서, dday칸에 들어갈 내용과 색깔을 달리한다.\n\n\t\t\tif (this.dday() < 10) {\n\t\t\t\tEvnt_dday_txt = document.createTextNode(\"D-0\" + this.dday());\n\t\t\t\tEvnt_dday.appendChild(Evnt_dday_txt);\n\t\t\t\t//Event_dday 칸의 내용을 채운다. if문 활용.\n\t\t\t\t//dday가 한자리수(<10)이면 'D-0'을 붙여준다.\n\t\t\t\tif (this.dday() <= 3) {\n\t\t\t\t\tEvnt_dday.style.backgroundColor = \"#ff004d\";\n\t\t\t\t} //--dday<=3 일 때 종료\n\t\t\t\telse {\n\t\t\t\t\tEvnt_dday.style.backgroundColor = \"#00b496\";\n\t\t\t\t}\n\t\t\t} //--dday<10 일 때 종료\n\t\t\telse {\n\t\t\t\tEvnt_dday_txt = document.createTextNode(\"D-\" + this.dday());\n\t\t\t\tEvnt_dday.appendChild(Evnt_dday_txt);\n\t\t\t\t//Event_dday 칸의 내용을 채운다. if문 활용.\n\t\t\t\t//dday가 두자리수 이상(>=10)이면 'D-'을 붙여준다.\n\t\t\t\tEvnt_dday.style.backgroundColor = \"#00b496\";\n\t\t\t} //--dday>= 10 일 때 종료\n\n\t\t} //--dday>0 일 때 종료\n\t\telse if (this.dday() === 0) {\n\t\t\tEvnt_dday_txt = document.createTextNode(\"D-DAY\");\n\t\t\tEvnt_dday.appendChild(Evnt_dday_txt);\n\t\t\tEvnt_dday.style.backgroundColor = \"purple\";\n\t\t\t//dday===0일 때, dday칸을 보라색으로.\n\t\t} //--dday===0 일 때 종료\n\t\telse if (this.dday() < 0) {\n\t\t\tif (this.dday() >= -3) {\n\t\t\t\tEvnt_dday_txt = document.createTextNode(\"종료\");\n\t\t\t\tEvnt_dday.appendChild(Evnt_dday_txt);\n\t\t\t\tEvnt_dday.style.backgroundColor = \"#2e2f4a\";\n\t\t\t\t//--dday<0일 때, dday칸을 남색으로.\n\t\t\t\tEvnt_cntnt.style.color = \"gray\";\n\t\t\t}\n\n\t\t} //--dday<0 일 때 종료.\n\n\t\t//날짜를 제대로 입력하지 않은 경우.\n\t\t//의도적으로 안 적을 수도 있는 것임.(범위를 안내하거나 등)\n\t\telse {\n\t\t\tEvnt_dday.style.backgroundColor = \"white\";\n\t\t\t//배경을 white로 해주고.\n\t\t\tEvnt_dday.style.borderBottom = \"1px solid gray\";\n\t\t\t//밑줄을 검은색으로 깔아준다.\n\t\t}\n\n\t\t//조건대로 분류되어 만들어진 Evnt_cntnt와 Evnt_dday를\n\t\t//Evnt_cntnt_line에 넣은 후, Evnt_cntnt_box안에 넣어 입력 완료.\n\t\tEvnt_cntnt_line.appendChild(Evnt_cntnt);\n\t\tEvnt_cntnt_line.appendChild(Evnt_dday);\n\t\t//실제 Event_cntnt_line에 내용을 입력하는 코드이다.\n\n\t\t//Event 설정//\n\t\tEvnt_cntnt_line.addEventListener('mouseover', function() {\n\t\t\tthis.style.backgroundColor = 'navy';\n\t\t\tthis.style.color = 'white';\n\t\t})\n\n\t\tEvnt_cntnt_line.addEventListener('mouseout', function() {\n\t\t\tthis.style.backgroundColor = '#f5f5ff';\n\t\t\tthis.style.color = 'black';\n\t\t})\n\n\t\tEvnt_cntnt_line.addEventListener('click', Evnt_Pop);\n\n\t\tdocument.getElementById('Event_cntnt_box').appendChild(Evnt_cntnt_line)\n\t\t//실제 Event_cntnt_box안에 Event_cntnt_line을 입력하는 코드이다.\n\n\t\tif (this.dday() < -3) {\n\t\t\tEvnt_cntnt_line.remove();\n\t\t\tEvnt_cntnt.remove();\n\t\t\tEvnt_cntnt_txt.remove();\n\t\t\tEvnt_dday.remove();\n\t\t} // 종료된지 3일이 지나면, 태그를 없앤다.\n\n\t} //--this.write_del 종료.\n\n\n\t////////////////////////////////////////////////////////////////////////\n\t////////////////////////////////////////////////////////////////////////\n\t//////////////////////////calendar function Start///////////////////////\n\t////////////////////////////////////////////////////////////////////////\n\t////////////////////////////////////////////////////////////////////////\n\n\tthis.calendar = function() {\n\n\t\tvar StartDate = new Date(this.day);\n\t\tvar FinishDate = new Date(this.lastday);\n\t\tStartDate_Date = StartDate.getDate();\n\t\tStartDate_Month = StartDate.getMonth() + 1;\n\t\tFinishDate_Date = FinishDate.getDate();\n\t\tFinishDate_Month = FinishDate.getMonth() + 1;\n\t\t//시작일시의 일과 달을 정의한다.\n\t\t//종료일시의 일과 달을 정의한다.\n\n\t\tif (StartDate_Month !== today.getMonth() + 1) {\n\t\t\tconsole.log('over')\n\t\t} else if (StartDate.getFullYear().toString() + '-' + StartDate_Month.toString() + '-' + StartDate_Date.toString() ===\n\t\t\tFinishDate.getFullYear().toString() + '-' + FinishDate_Month.toString() + '-' + FinishDate_Date.toString()) {\n\t\t\tEvnt_target_box = document.getElementById(StartDate.getFullYear().toString() + '-' + StartDate_Month.toString() + '-' + StartDate_Date.toString());\n\n\t\t\tEvnt_calendar_line = document.createElement('div');\n\t\t\tEvnt_calendar_line.setAttribute(\"class\", \"Evnt_calendar_line\");\n\t\t\tEvnt_calendar_line.setAttribute(\"id\", this.dayname);\n\t\t\t//class 이름이 Evnt_calendar_line인 div 태그를 만든다.\n\t\t\t//id 이름은 이벤트 이름 ; this.dayname으로 지어준다.\n\t\t\tEvnt_calendar_line.addEventListener(\"click\", Evnt_Pop);\n\t\t\tEvnt_calendar_line.textContent = this.dayname;\n\t\t\t//시작일시에 들어간 칸에는 행사의 이름을 붙인다.\n\t\t\tEvnt_calendar_line.style.backgroundColor = \"rgba(0,\" + Math.round(Math.random() * 150) + \",\" + Math.round(Math.random() * 100) + \",0.35)\";\n\t\t\tEvnt_calendar_line.style.color = \"black\";\n\t\t\t//행사를 표현하는 색깔을 지정해준다.\n\n\t\t\tEvnt_target_box.appendChild(Evnt_calendar_line);\n\t\t} else {\n\t\t\tbackgroundColor = \"rgba(0,\" + Math.round(Math.random() * 150) + \",\" + Math.round(Math.random() * 100) + \",0.35)\";\n\t\t\t//Eval이 수일에 걸쳐서 진행할 경우, 배경색깔이 같아야 한다.\n\t\t\t//for문이 돌기전에 색깔을 정의해주어야 함.\n\t\t\tfor (var i = StartDate_Date; i <= FinishDate_Date; i++) {\n\t\t\t\t//시작일시의 일부터 종료일시의 일까지 반복문을 돌린다.\n\t\t\t\tEvnt_target_box = document.getElementById(StartDate.getFullYear().toString() + '-' + StartDate_Month.toString() + '-' + i.toString());\n\t\t\t\t//들어갈 일시의 div태그를 찾기위해 getElementById메쏘드를 이용하여\n\t\t\t\t//시작일시부터 종료일시까지 들어갈 일시의 div를 찾는다.\n\t\t\t\tif (i == StartDate_Date) {\n\t\t\t\t\tEvnt_calendar_line = document.createElement('div');\n\t\t\t\t\tEvnt_calendar_line.setAttribute(\"class\", \"Evnt_calendar_line\");\n\t\t\t\t\tEvnt_calendar_line.setAttribute(\"id\", this.dayname);\n\t\t\t\t\t//class 이름이 Evnt_calendar_line인 div 태그를 만든다.\n\t\t\t\t\t//id 이름은 이벤트 이름 ; this.dayname으로 지어준다.\n\t\t\t\t\tEvnt_calendar_line.addEventListener(\"click\", Evnt_Pop);\n\t\t\t\t\tEvnt_calendar_line.textContent = this.dayname;\n\t\t\t\t\t//시작일시에 들어간 칸에는 행사의 이름을 붙인다.\n\t\t\t\t\tEvnt_calendar_line.style.background = backgroundColor;\n\t\t\t\t\t//행사를 표현하는 색깔을 지정해준다.\n\t\t\t\t\tEvnt_target_box.appendChild(Evnt_calendar_line);\n\t\t\t\t\t//위에서 만든 Evnt_calendar_line을 Evnt_target_box에 넣는다.\n\t\t\t\t} else if (i == FinishDate_Date) {\n\t\t\t\t\tEvnt_calendar_line = document.createElement('div');\n\t\t\t\t\tEvnt_calendar_line.setAttribute(\"class\", \"Evnt_calendar_line\");\n\t\t\t\t\tEvnt_calendar_line.setAttribute(\"id\", this.dayname);\n\n\t\t\t\t\tEvnt_calendar_line.addEventListener(\"click\", Evnt_Pop);\n\t\t\t\t\tEvnt_calendar_line.textContent = this.dayname + '종료';\n\t\t\t\t\t//종료일시에 들어간 칸에는 행사의 이름과 '종료'를 붙인다.\n\t\t\t\t\tEvnt_calendar_line.style.background = backgroundColor;\n\t\t\t\t\tEvnt_target_box.appendChild(Evnt_calendar_line);\n\t\t\t\t} else {\n\t\t\t\t\tEvnt_calendar_line = document.createElement('div');\n\t\t\t\t\tEvnt_calendar_line.setAttribute(\"class\", \"Evnt_calendar_line\");\n\t\t\t\t\tEvnt_calendar_line.setAttribute(\"id\", this.dayname);\n\t\t\t\t\t//class 이름이 이벤트 이름인 div 태그를 만든다.\n\t\t\t\t\tEvnt_calendar_line.addEventListener(\"click\", Evnt_Pop);\n\t\t\t\t\tEvnt_calendar_line.innerText = ' ';\n\t\t\t\t\tEvnt_calendar_line.style.background = backgroundColor;\n\t\t\t\t\tEvnt_target_box.appendChild(Evnt_calendar_line);\n\t\t\t\t} //else 종료\n\t\t\t} //for문 종료\n\t\t} //else 종료\n\n\t} // calendar function 종료\n\n\n\n\n\t//////////////////////////////////////////////////////////////////////\n\t//////////////////////////////////////////////////////////////////////\n\t//////////////////////////////////////////////////////////////////////\n\t//////////////////////////////////////////////////////////////////////\n\t//////////////////////////////////////////////////////////////////////\n\t//Evnt_Pop function : 캘린더에서 해당 행사를 클릭하면, 클래스 이름에 'on'을 붙인다.\n\t//다시누르면 'on'이 빠진다.\n\t//'on'이 붙어있을 때에는, div태그를 형성하여, 관련 정보를 열람할 수 있도록 한다.\n\t//////////////////////////////////////////////////////////////////////\n\t//////////////////////////////////////////////////////////////////////\n\t//////////////////////////////////////////////////////////////////////\n\t//////////////////////////////////////////////////////////////////////\n\t//////////////////////////////////////////////////////////////////////\n\t//////////////////////////////////////////////////////////////////////\n\n\n\n\tEvnt_Pop = function() {\n\t\tif (this.classList == 'Evnt_calendar_line' || this.classList == 'Event_cntnt_line') {\n\t\t\tvar Evnt_popup_id = this.getAttribute('id')\n\t\t\tconsole.log(Evnt_popup_id);\n\t\t\t//id를 getAttribute 하는 이유는 동일 이름의 image를 땡겨오기 위함이다.\n\t\t\t//image를 땡겨오기위해서는 models.py를 절실히 배워야한다.\n\t\t\tthis.classList.add('on');\n\t\t\t//여기에서의 this는 해당 DOM을 의미한다.\n\t\t\tEvnt_popup = document.createElement('div');\n\t\t\tEvnt_popup.setAttribute('class', 'Evnt_popup');\n\t\t\t// Evnt_popup.innerHTML = 'Choco Hyme'\n\t\t\tthis.appendChild(Evnt_popup);\n\n\t\t\tEvnt_popup_cntnt = document.createElement('div');\n\t\t\tEvnt_popup_cntnt.setAttribute('class', 'Evnt_popup_cntnt');\n\t\t\t// Evnt_popup_cntnt.innerHTML = Evnt_popup_id\n\t\t\tEvnt_popup.appendChild(Evnt_popup_cntnt);\n\n\t\t\tEvnt_popup_cntnt_image = document.createElement('img');\n\t\t\tEvnt_popup_cntnt_image.setAttribute('class', 'Evnt_popup_cntnt_image');\n\t\t\t// Evnt_popup_id_by_model = {{EventSets.get(dayname=Evnt_popup_id).url}}\n\t\t\t// Evnt_popup_cntnt_image.src = '{{EventSets.get(dayname=\"'+Evnt_popup_id+'\").image.url}}'\n\t\t\tEvnt_popup_cntnt_image.src = '../media/' + Evnt_popup_id + '.jpg';\n\t\t\tEvnt_popup_cntnt_image.alt = '사진없음'\n\t\t\tEvnt_popup_cntnt.appendChild(Evnt_popup_cntnt_image);\n\t\t} else if (this.classList == 'Evnt_calendar_line on' || this.classList == 'Event_cntnt_line on') {\n\t\t\tthis.classList.remove('on');\n\t\t\tEvnt_popup.remove();\n\t\t}\n\t}\n}\n\n//어떤 이벤트 창이 열려있는데 다른 이벤트창이 또 열림.\n\n// ------------------------------------------------------------------------\n// -------------------------------------------------------------------------\n// -------------------------------------------------------------------------\n// -------------------------------------------------------------------------\n// -------------------------------------------------------------------------\n// -------------------------------------------------------------------------\n// -------------------------------------------------------------------------\n\n// AJAX를 통하여 XMLRequest를 보내보도록 하자.\nlet Events = new Array();\n\nfunction LoadEventSet() {\n\tlet url = '/api/eventset';\n\tvar req = new XMLHttpRequest();\n\treq.open('GET', url);\n\treq.onreadystatechange = function() {\n\t\tif (this.readyState == 4 && this.status == 200) {\n\t\t\tvar jsonResponse = JSON.parse(req.responseText);\n\t\t\tvar data = jsonResponse['data']\n\n\t\t\tfor (let i = 0; i < data.length; i++) {\n\t\t\t\t//TODO: EventSet 객체들을 만들어 Array에 넣는다.\n\t\t\t\tconsole.log(data[i][\"day\"], data[i][\"lastday\"], data[i][\"dayname\"])\n\t\t\t\tlet eventset = new EventSet(\n\t\t\t\t\tdata[i][\"day\"],\n\t\t\t\t\tdata[i][\"lastday\"],\n\t\t\t\t\tdata[i][\"dayname\"],\n\t\t\t\t);\n\n\t\t\t\tEvents.push(eventset)\n\t\t\t\t// console.log(Events)\n\t\t\t}\n\n\t\t\tEvents.sort(function(a, b) {\n\t\t\t\tvar former = new Date(a.day);\n\t\t\t\tvar latter = new Date(b.day);\n\t\t\t\treturn former.getTime() - latter.getTime();\n\t\t\t});\n\n\t\t\t//아래 sort 함수는 기간이 2일 이상인 eval들을 기준으로,\n\t\t\t//기간이 긴 eval 부터 윗라인에 채워지도록 한 sort function 이다.\n\t\t\tEvents.sort(function(a, b) {\n\t\t\t\tvar former_firstday = new Date(a.day);\n\t\t\t\tvar former_lastday = new Date(a.lastday);\n\t\t\t\tvar former_period = former_lastday.getTime() - former_firstday.getTime();\n\n\t\t\t\tvar latter_firstday = new Date(b.day);\n\t\t\t\tvar latter_lastday = new Date(b.lastday);\n\t\t\t\tvar latter_period = latter_lastday.getTime() - latter_firstday.getTime();\n\n\t\t\t\treturn latter_period - former_period;\n\t\t\t});\n\n console.log(Events)\n\t\t\tif (document.getElementById(\"Event_cntnt_box\") !== null) {\n\t\t\t\tfor (i = 0; i < Events.length; i++) {\n\t\t\t\t\tEvents[i].write_del();\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tfor (i = 0; i < Events.length; i++) {\n\t\t\t\t\tEvents[i].calendar();\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\treq.send();\n}\n\nLoadEventSet();\n\n//아래 sort 함수는 시작 시작이 빠른 eval이 먼저 오도록 하는 function이다.\n\n/////////////////////////////////////////////////////////////////////\n/////////////////////////////////////////////////////////////////////\n//////////////////////변수들 Sorting ////////////////////////////////\n/////////////////////////////////////////////////////////////////////\n/////////////////////////////////////////////////////////////////////\n"},{"alpha_fraction":0.6748992204666138,"alphanum_fraction":0.6849798560142517,"avg_line_length":30,"blob_id":"a4440be5e243968b00c77013f78a341e7a3aa752","content_id":"24c2a723e9e14f15c2a1a78ff9e6b6e07bbd52f5","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"JavaScript","length_bytes":2734,"license_type":"no_license","max_line_length":59,"num_lines":64,"path":"/dot/static/dot/js/Date.js","repo_name":"MAHT1990/HomeRoom_Project","src_encoding":"UTF-8","text":"//날짜와 요일 입력\nvar today = new Date();\n //Date 객체를 이용하여, today 변수를 정의한다\nvar today_year = today.getFullYear();\n //getFullYear()메쏘드를 미용하여 올해 년을 받아 변수로 정의한다.\nvar today_date = today.getDate();\n //getDate()메쏘드를 이용하여 일을 받아 변수로 정의한다.\nvar today_month = today.getMonth()+1;\n //getMonth()메쏘드를 이용하여 월을 받아 변수로 정의한다.\n // 주의! getMonth()메쏘드는 월을 0 ~ 11로 반환한다.\nvar next_month = today.getMonth()+2;\n\nvar today_day = today.getDay();\n\n//getDay()메쏘드를 이용하여 요일을 숫자형으로 받아 변수 정의\n//0(일요일) ~ 6(토)\n//일요일은 값이 0이므로 1을 뺴주게 되면, undefined이다.\n//그러므로, 조건문을 통해 일요일로 재정의한다.\n\nvar week = ['일','월','화','수','목','금','토',];\nvar weekEng = ['sun','mon','tue','wed','thu','fri','sat',];\n\n//week_numb 를 정의해서, 이전 week_numb의 6번(일요일) innerHtml이\n//내용이 차있으면, week_numb를 높인다.\n\nvar ThisFirst = new Date(today_year, today_month-1, 1);\n//이번달 첫째 날을 ThisFirsh로 지정한다.\nvar ThisLast = new Date(today_year, today_month, 0);\n//이번달 마지막 날을 ThisLast로 지정한다.\n\nvar PrevFirst = new Date(today_year, today_month-2,1);\n//저번달 첫째 날을 PrevFirst로 지정한다.\nvar PrevLast = new Date(today_year, today_month-1,0);\n//저번달 마지막 날을 PrevFirst로 지정한다.\n\nvar NextFirst = new Date(today_year, today_month,1);\n//저번달 첫째 날을 PrevFirst로 지정한다.\nvar NextLast = new Date(today_year, today_month+1,0);\n//저번달 마지막 날을 PrevFirst로 지정한다.\n\n\nvar TFDate = ThisFirst.getDate(); //ThisFirst의 일수를 구한다.\nvar TFDay = ThisFirst.getDay(); //ThisFirst의 요일을 구한다.\n\nvar TLDate = ThisLast.getDate(); //ThisLast의 일수를 구한다.\nvar TLDay = ThisLast.getDay(); //ThisLast의 요일을 구한다.\n\nvar PFDate = PrevFirst.getDate(); //PrevFirst의 일수를 구한다.\nvar PFDay = PrevFirst.getDay(); //PrevFirst의 요일을 구한다.\n\nvar PLDate = PrevLast.getDate(); //PrevLast의 일수를 구한다.\nvar PLDay = PrevLast.getDay(); //PrevLast의 요일을 구한다.\n\nvar NFDate = NextFirst.getDate(); //PrevLast의 일수를 구한다.\nvar NFDay = NextFirst.getDay(); //PrevLast의 요일을 구한다.\n\nvar NLDate = NextLast.getDate(); //PrevLast의 일수를 구한다.\nvar NLDay = NextLast.getDay(); //PrevLast의 요일을 구한다.\n\n// Evenset 함수 정의 시작\n// Evenset 함수 정의 시작\n// Evenset 함수 정의 시작\n// Evenset 함수 정의 시작\n// Evenset 함수 정의 시작\n"}],"string":"[\n {\n \"alpha_fraction\": 0.7012835741043091,\n \"alphanum_fraction\": 0.7012835741043091,\n \"avg_line_length\": 29.60714340209961,\n \"blob_id\": \"f1cc57a755eec144b7153a8fc69f5c9e23df8168\",\n \"content_id\": \"64daf1646926c522cc340e90536a05348c95db92\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 857,\n \"license_type\": \"no_license\",\n \"max_line_length\": 64,\n \"num_lines\": 28,\n \"path\": \"/dot/admin.py\",\n \"repo_name\": \"MAHT1990/HomeRoom_Project\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from django.contrib import admin\\nfrom .models import *\\n# Register your models here.\\n\\n@admin.register(State)\\nclass StateAdmin(admin.ModelAdmin):\\n list_display=['id','state']\\n list_display_links=['id','state']\\n\\n@admin.register(Notice)\\nclass NoticeAdmin(admin.ModelAdmin):\\n list_display=['id','content']\\n list_display_links=['id','content']\\n\\n@admin.register(NoticeDetail)\\nclass NoticeDetailAdmin(admin.ModelAdmin):\\n list_display=['id','detail','notice']\\n list_display_links=['id','detail','notice']\\n\\n@admin.register(EventSet)\\nclass EventSetAdmin(admin.ModelAdmin):\\n list_display=['id','dayname','day','lastday','image']\\n list_display_links=['id','dayname','image']\\n\\n@admin.register(Eval)\\nclass EvalAdmin(admin.ModelAdmin):\\n list_display=['id','type','dayname','day','lastday','image']\\n list_display_links=['id','dayname','image']\\n\"\n },\n {\n \"alpha_fraction\": 0.6913061738014221,\n \"alphanum_fraction\": 0.6921461820602417,\n \"avg_line_length\": 27.177515029907227,\n \"blob_id\": \"add6107fde49f9cb54def26040b14385c9f66030\",\n \"content_id\": \"557136a33198621c5835167fbf6089f2abfef710\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 5110,\n \"license_type\": \"no_license\",\n \"max_line_length\": 98,\n \"num_lines\": 169,\n \"path\": \"/dot/views.py\",\n \"repo_name\": \"MAHT1990/HomeRoom_Project\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from django.shortcuts import render, redirect\\nfrom django.http import HttpResponse, HttpResponseRedirect, JsonResponse\\nfrom django.urls import reverse\\nfrom django.views.decorators.csrf import csrf_exempt\\nfrom .models import *\\n# Create your views here.\\n\\n\\n\\ndef page1(request):\\n return redirect(\\\"dot:morning_assemble\\\")\\n\\n\\ndef calendar(request):\\n EventSets = EventSet.objects.all()\\n # EventSets 는 queryset임.\\n # 여기서 데이터베이스에 접근 할 줄 알지만, 그것이 아니다.\\n # queryset 형태로 가져옴 . 데이터베이스에 접근하기 위한 SQL을 담고있는 애.\\n # 그러므로 실제로 접근하기 전에 .filter 메쏘드로 필터링을 할 수 있다.\\n # queryset.filter 를 이용해서 필터링된 queryset을 또 만들 수 있음.\\n # queryset sql을 담고있는 장고를 위한 자료형\\n # chaining(특정조건을 계속 거는 것 ; filter)\\n # lazy(계속 늦추다가, database에 꼭 필요할 때만 접근한다는 의미)\\n\\n Evals = Eval.objects.all()\\n content = {\\n 'EventSets': EventSets,\\n 'Evals': Evals,\\n }\\n\\n return render(request, 'dot/calendar.html', content)\\n # template으로 넘겨줄 때 데이터베이스에서 자료를 가져옴.\\n\\n\\ndef calendar_next(request):\\n return render(request, 'dot/calendar_next.html')\\n\\n@csrf_exempt\\ndef morning_assemble(request):\\n States = State.objects.last()\\n Notices = Notice.objects.all()\\n EventSets = EventSet.objects.all()\\n Evals = Eval.objects.all()\\n\\n response_data = {\\n 'status': 200,\\n 'msg': 'success',\\n 'States': States,\\n 'Notices': Notices,\\n 'EventSets': EventSets,\\n 'Evals': Evals,\\n # TODO: EventSets 와 Evals는\\n }\\n\\n return render(request, 'dot/morning_assemble.html', response_data)\\n\\n\\ndef time_table(request):\\n return render(request, 'dot/time_table.html')\\n\\n\\ndef create_delete(request):\\n States = State.objects.last()\\n Notices = Notice.objects.all()\\n EventSets = EventSet.objects.all()\\n Evals = Eval.objects.all()\\n\\n content = {\\n 'States': States,\\n 'Notices': Notices,\\n 'EventSets': EventSets,\\n 'Evals': Evals,\\n }\\n return render(request, 'dot/create_delete.html', content)\\n\\n\\n# TODO : API 수정하기 (각 method별로 새로 함수를 짜서 정리한다.)\\ndef Create_State(request):\\n user_input_state = request.POST.get(\\\"State_state\\\")\\n\\n new_State = State(state=user_input_state)\\n new_State.save()\\n return HttpResponseRedirect(reverse(\\\"dot:create_delete\\\"))\\n\\n\\ndef Create_Notice(request):\\n user_input_notice = request.POST.get('Notice_content')\\n\\n new_Notice = Notice(content=user_input_notice)\\n new_Notice.save()\\n return HttpResponseRedirect(reverse(\\\"dot:create_delete\\\"))\\n\\n\\ndef Create_NoticeDetail(request):\\n noticedetail_object_id = request.POST.get(\\\"Notice_id\\\")\\n noticedetail_object_detail = request.POST.get(\\\"NoticeDetail_detail\\\")\\n noticedetail_object = Notice.objects.get(id=noticedetail_object_id)\\n\\n new_noticedetail = NoticeDetail(notice=noticedetail_object, detail=noticedetail_object_detail)\\n new_noticedetail.save()\\n\\n return HttpResponseRedirect(reverse('dot:create_delete'))\\n\\n\\ndef Delete_Notice(request):\\n delete_id = request.GET['Notice_id']\\n\\n delete_Notice = Notice.objects.get(id=delete_id)\\n delete_Notice.delete()\\n return HttpResponseRedirect(reverse('dot:create_delete'))\\n\\n\\ndef Delete_NoticeDetail(request):\\n delete_id = request.GET['NoticeDetail_id']\\n\\n delete_NoticeDetail = NoticeDetail.objects.get(id=delete_id)\\n delete_NoticeDetail.delete()\\n return HttpResponseRedirect(reverse('dot:create_delete'))\\n\\n\\ndef Create_EventSet(request):\\n # return HttpResponse('add!')\\n user_input_day = request.POST.get('EventSet_day')\\n user_input_lastday = request.POST.get('EventSet_lastday')\\n user_input_dayname = request.POST.get('EventSet_dayname')\\n\\n new_EventSet = EventSet(\\n day=user_input_day,\\n lastday=user_input_lastday,\\n dayname=user_input_dayname\\n )\\n new_EventSet.save()\\n\\n # return redirect(\\\"dot:morning_assemble\\\")\\n return HttpResponseRedirect(reverse(\\\"dot:create_delete\\\"))\\n # return HttpResponse(user_input_dayname + user_input_day + user_input_lastday)\\n\\n\\ndef Create_Eval(request):\\n user_input_type = request.POST['Eval_type']\\n user_input_day = request.POST['Eval_day']\\n user_input_lastday = request.POST['Eval_lastday']\\n user_input_dayname = request.POST['Eval_dayname']\\n\\n new_Eval = Eval(\\n type=user_input_type,\\n day=user_input_day,\\n lastday=user_input_lastday,\\n dayname=user_input_dayname\\n )\\n new_Eval.save()\\n\\n return HttpResponseRedirect(reverse(\\\"dot:create_delete\\\"))\\n\\n\\ndef Delete_EventSet(request):\\n delete_id = request.GET['EventSet_id']\\n\\n delete_EventSet = EventSet.objects.get(id=delete_id)\\n delete_EventSet.delete()\\n return HttpResponseRedirect(reverse('dot:create_delete'))\\n\\n\\ndef Delete_Eval(request):\\n delete_id = request.GET['Eval_id']\\n\\n delete_Eval = Eval.objects.get(id=delete_id)\\n delete_Eval.delete()\\n return HttpResponseRedirect(reverse('dot:create_delete'))\\n\"\n },\n {\n \"alpha_fraction\": 0.6865248084068298,\n \"alphanum_fraction\": 0.6971631050109863,\n \"avg_line_length\": 27.200000762939453,\n \"blob_id\": \"e98a21896f88094a4112e61225b010524c86a749\",\n \"content_id\": \"d8d8e0db6bd64b05b1bab9c03d6bd7b602ee37bf\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1892,\n \"license_type\": \"no_license\",\n \"max_line_length\": 69,\n \"num_lines\": 50,\n \"path\": \"/dot/models.py\",\n \"repo_name\": \"MAHT1990/HomeRoom_Project\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from django.db import models\\n\\n# Create your models here.\\n\\nclass State(models.Model):\\n state=models.CharField(max_length=255)\\n\\n def __str__(self):\\n return self.state\\n \\nclass Notice(models.Model):\\n content=models.CharField(max_length=255)\\n\\n def __str__(self):\\n return self.content\\n\\nclass NoticeDetail(models.Model):\\n detail=models.CharField(max_length=255)\\n notice=models.ForeignKey(Notice, on_delete=models.CASCADE)\\n\\ndef image_file_rename(instance, filename):\\n return '{}.jpg'.format(instance.dayname)\\nclass SpecialDay(models.Model):\\n dayname = models.CharField(max_length = 255,null=True)\\n day = models.DateField(null=True)\\n lastday = models.DateField(null=True)\\n image = models.ImageField(upload_to=image_file_rename, null=True)\\n\\n class Meta:\\n abstract = True\\n\\nclass EventSet(SpecialDay):\\n pass\\n #블록이 형성되면 반드시, 블록안에 코드가 있어야 하며,\\n #코드가 안들어가는 경우, pass 코드를 입력해주면 된다.\\n\\nclass Eval(SpecialDay):\\n type = models.CharField(max_length = 255,null=True)\\n\\n\\n#통일한다. type 값에 Null = True 해서\\n#JAVASCRIPT로 들어갈 때, type값이 null이면 event로 넣어주고,\\n#null이 아니면, Eval로 넣어주는 방식으로 데이터베이스를 통일시켜주는 것도 좋다.\\n#쪼갰을 때 나은 경우가 있고, 합쳤을 떄 나은 경우가 있다.\\n##게시글의 제목, 내용 이랑 사용자 정보를 모델\\n##상속을 이용해도 됨.\\n##부모클래스를 만들어서, 둘 다 상속을 받을 수 있도록 하는 것도 좋은 방법.\\n##class Meta 에서 abstract = True 로 줘서 데이터베이스에 실제 반영이 안되도록.\\n##근데 자식 class에서 인스턴스를 만들면, 부모한테도 만들어져서 복잡해짐.\\n##abstract는 데이터베이스를 실제로 안만드는 결과도 있지만,\\n\"\n },\n {\n \"alpha_fraction\": 0.7079287767410278,\n \"alphanum_fraction\": 0.7103559970855713,\n \"avg_line_length\": 60.79999923706055,\n \"blob_id\": \"d0daa25c97638e15408a74049dc1652c05039e77\",\n \"content_id\": \"b679550bbc905be2597b094ef117c8dab06d4dbe\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1236,\n \"license_type\": \"no_license\",\n \"max_line_length\": 102,\n \"num_lines\": 20,\n \"path\": \"/dot/urls.py\",\n \"repo_name\": \"MAHT1990/HomeRoom_Project\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from django.urls import path\\nfrom . import views\\n\\nurlpatterns = [\\n path('calendar_next/', views.calendar_next, name=\\\"calendar_next\\\"),\\n path('calendar/', views.calendar, name=\\\"calendar\\\"),\\n path('create_delete/Create_State/', views.Create_State, name=\\\"Create_State\\\"),\\n path('create_delete/Create_NoticeDetail/', views.Create_NoticeDetail, name=\\\"Create_NoticeDetail\\\"),\\n path('create_delete/Create_Notice/', views.Create_Notice, name=\\\"Create_Notice\\\"),\\n path('create_delete/Delete_NoticeDetail/', views.Delete_NoticeDetail, name=\\\"Delete_NoticeDetail\\\"),\\n path('create_delete/Delete_Notice/', views.Delete_Notice, name=\\\"Delete_Notice\\\"),\\n path('create_delete/Create_EventSet/', views.Create_EventSet, name=\\\"Create_EventSet\\\"),\\n path('create_delete/Create_Eval/', views.Create_Eval, name=\\\"Create_Eval\\\"),\\n path('create_delete/', views.create_delete, name=\\\"create_delete\\\"),\\n path('create_delete/Delete_EventSet/', views.Delete_EventSet, name=\\\"Delete_EventSet\\\"),\\n path('create_delete/Delete_Eval/', views.Delete_Eval, name=\\\"Delete_Eval\\\"),\\n path('page1/', views.page1, name=\\\"page1\\\"),\\n path('time_table/', views.time_table, name=\\\"time_table\\\"),\\n path('', views.morning_assemble, name=\\\"morning_assemble\\\"),\\n]\\n\"\n },\n {\n \"alpha_fraction\": 0.6865671873092651,\n \"alphanum_fraction\": 0.6865671873092651,\n \"avg_line_length\": 18.14285659790039,\n \"blob_id\": \"137185e8c4f0cf436c397eec347ca34a68996bee\",\n \"content_id\": \"feb2502bb8a3de3608bf6923ac681edfd38df432\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 134,\n \"license_type\": \"no_license\",\n \"max_line_length\": 36,\n \"num_lines\": 7,\n \"path\": \"/api/urls.py\",\n \"repo_name\": \"MAHT1990/HomeRoom_Project\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from django.urls import path\\nfrom . import views\\n\\nurlpatterns = [\\n path('eventset',views.eventset),\\n path('eval',views.eval),\\n]\\n\"\n },\n {\n \"alpha_fraction\": 0.8269230723381042,\n \"alphanum_fraction\": 0.8269230723381042,\n \"avg_line_length\": 25,\n \"blob_id\": \"ec3f0aeadd3341bbaa886bf172d11824bf234d8d\",\n \"content_id\": \"367944a304248c5a49a6e803e6c41e575b170315\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 52,\n \"license_type\": \"no_license\",\n \"max_line_length\": 32,\n \"num_lines\": 2,\n \"path\": \"/README.md\",\n \"repo_name\": \"MAHT1990/HomeRoom_Project\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# HomeRoom_Project\\nVarious Tools for Homeroom_Class\\n\"\n },\n {\n \"alpha_fraction\": 0.7283950448036194,\n \"alphanum_fraction\": 0.7283950448036194,\n \"avg_line_length\": 15.199999809265137,\n \"blob_id\": \"4010f0ba7b6e0a2f4e5787bfa6d48f6a799cfa56\",\n \"content_id\": \"a66f5395b759526d7abba728bcd8eb9a7381c4e6\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 81,\n \"license_type\": \"no_license\",\n \"max_line_length\": 33,\n \"num_lines\": 5,\n \"path\": \"/dot/apps.py\",\n \"repo_name\": \"MAHT1990/HomeRoom_Project\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from django.apps import AppConfig\\n\\n\\nclass DotConfig(AppConfig):\\n name = 'dot'\\n\"\n },\n {\n \"alpha_fraction\": 0.5269590020179749,\n \"alphanum_fraction\": 0.5312724709510803,\n \"avg_line_length\": 24.290908813476562,\n \"blob_id\": \"d3d29fd52a21f496531892215d65165b8c878ba0\",\n \"content_id\": \"9d183c0d0c9efe6713cfb0b1bce03627717a7cdd\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1397,\n \"license_type\": \"no_license\",\n \"max_line_length\": 72,\n \"num_lines\": 55,\n \"path\": \"/api/views.py\",\n \"repo_name\": \"MAHT1990/HomeRoom_Project\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from django.shortcuts import render, redirect\\nfrom django.http import HttpResponse, HttpResponseRedirect, JsonResponse\\nfrom django.urls import reverse\\nfrom django.views.decorators.csrf import csrf_exempt\\nfrom dot.models import *\\n\\n#dot의 models에서\\n\\n# Create your views here.\\n@csrf_exempt\\ndef eventset(request):\\n response_data = {\\n 'status': 200,\\n 'msg': 'success',\\n 'data': []\\n }\\n\\n if request.method == 'GET':\\n EventSets = EventSet.objects.all()\\n for eventset in EventSets:\\n item = {\\n 'id': eventset.id,\\n 'dayname': eventset.dayname,\\n 'day': eventset.day,\\n 'lastday': eventset.lastday,\\n 'image': None\\n }\\n response_data['data'].append(item)\\n else:\\n pass\\n\\n return JsonResponse(response_data)\\n\\ndef eval(request):\\n response_data = {\\n 'status': 200,\\n 'msg': 'success',\\n 'data': []\\n }\\n\\n if request.method == 'GET':\\n Evals = Eval.objects.all()\\n for eval in Evals:\\n item = {\\n 'id': eval.id,\\n 'type': eval.type,\\n 'theday': eval.day,\\n 'lastday': eval.lastday,\\n 'dayname': eval.dayname\\n }\\n response_data['data'].append(item)\\n else:\\n pass\\n\\n return JsonResponse(response_data)\\n\"\n },\n {\n \"alpha_fraction\": 0.5574886798858643,\n \"alphanum_fraction\": 0.6051437258720398,\n \"avg_line_length\": 27.12765884399414,\n \"blob_id\": \"9db5ec7992888d6fa1a326bcf3ce75c40f5ccbd1\",\n \"content_id\": \"2318c413a748f47d15a33832cc0399dff0a2e42a\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"JavaScript\",\n \"length_bytes\": 1568,\n \"license_type\": \"no_license\",\n \"max_line_length\": 88,\n \"num_lines\": 47,\n \"path\": \"/@SAMPLES/js/Dday1.js\",\n \"repo_name\": \"MAHT1990/HomeRoom_Project\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"function Event(theday, dayname) {\\n this.dayname = dayname;\\n this.day = theday\\n this.dday = function() {\\n\\n /*theday 입력형태는 2020-00-00\\n 한자리수 달도 0을 붙여야 함. 2020-01-04\\n */\\n /*dayname : 행사명 : 문자열 */\\n\\n var today = new Date();\\n var theveryday = new Date(this.day);\\n\\n var today_seconds = today.getTime();\\n var theveryday_seconds = theveryday.getTime();\\n /*getTime 메쏘드는\\n 기준시각으로부터 입력시각까지의 1/1000초 단위로 반환*/\\n\\n /* 점검용 writhe 함수들\\n document.write(today + '<br />');\\n document.write(today_seconds + '<br />');\\n document.write(theveryday + '<br />');\\n document.write(theveryday_seconds + '<br />');\\n\\n document.write(theveryday_seconds - today_seconds + '<br />')\\n document.write(Math.ceil((theveryday_seconds - today_seconds)/86400000)+'<br />');\\n */\\n\\n return [Math.ceil((theveryday_seconds - today_seconds)/86400000), dayname];\\n /*행사 일시에서 오늘 일시를 뺀 다음 하루로 나눈다(86400 * 1000 밀리초)\\n 다음 Math.ceil (올림함수) 메쏘드를 이용하여 남을 일 수를 반환토록 한다\\n Array의 형태로, dday 값과, 행사이름을 반환하도록.*/\\n\\n }\\n }\\n\\n\\n /* Example */\\n /*\\n var someday = new Event(\\\"2020-05-28\\\",\\\"아무날\\\")\\n document.write(someday.dday());\\n document.write(someday.dayname)\\n\\n var oneday = new Event(\\\"2020-06-06\\\",\\\"현충일\\\")\\n document.write(oneday.dday());\\n document.write(oneday.dayname);\\n */\\n\"\n },\n {\n \"alpha_fraction\": 0.5453658699989319,\n \"alphanum_fraction\": 0.5549718737602234,\n \"avg_line_length\": 36.42977523803711,\n \"blob_id\": \"63b3df9d6c4d5e8ac6b6e84145169a689a940467\",\n \"content_id\": \"0960f5f8f44b26e43748a28d92f269c3f4f01799\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"JavaScript\",\n \"length_bytes\": 15499,\n \"license_type\": \"no_license\",\n \"max_line_length\": 150,\n \"num_lines\": 356,\n \"path\": \"/dot/static/dot/js/Dday2.js\",\n \"repo_name\": \"MAHT1990/HomeRoom_Project\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"function EventSet(theday, lastday, dayname) {\\n\\tthis.dayname = dayname;\\n\\tthis.day = theday\\n\\tthis.lastday = lastday\\n\\tthis.dday = function() {\\n\\n\\t\\t/* theday, lastday 입력형태는 2020-00-00\\n\\t\\t한자리수 달도 0을 붙여야 함. 2020-01-04 */\\n\\t\\t/* dayname : 행사명 : 문자열 */\\n\\t\\t/* color : 달력에 표시할 색깔 : 문자열*/\\n\\t\\tvar today = new Date();\\n\\t\\t//Date 객체를 이용하여, today 변수를 정의한다\\n\\t\\tvar today_year = today.getFullYear();\\n\\t\\t//getFullYear()메쏘드를 미용하여 올해 년을 받아 변수로 정의한다.\\n\\t\\tvar today_month = today.getMonth() + 1;\\n\\t\\t//getMonth()메쏘드를 이용하여 월을 받아 변수로 정의한다.\\n\\t\\t// 주의! getMonth()메쏘드는 월을 0 ~ 11로 반환한다.\\n\\t\\tvar today_date = today.getDate();\\n\\t\\t//getDate()메쏘드를 이용하여 일을 받아 변수로 정의한다.\\n\\n\\t\\tvar today_form = new Date(today_year.toString() + '-' + today_month.toString() + '-' + today_date.toString());\\n\\t\\t//new Date()로 오늘을 정의하면, 시분초가 다나오므로 컷트해줘야함.\\n\\t\\tvar theveryday = new Date(this.day);\\n\\n\\t\\tvar today_seconds = today_form.getTime();\\n\\t\\tvar theveryday_seconds = theveryday.getTime() - 32400000;\\n\\t\\t/*getTime 메쏘드는\\n\\t\\t기준시각으로부터 입력시각까지의 1/1000초 단위로 반환*/\\n\\t\\t/*Date Object는 기준시각을 오전 9시로 하므로, 오전 9만큼\\n\\t\\t시간을 빼주어야 한다.*/\\n\\n\\t\\treturn Math.ceil((theveryday_seconds - today_seconds) / 86400000);\\n\\t\\t/*행사 일시에서 오늘 일시를 뺀 다음 하루로 나눈다(86400 * 1000 밀리초)\\n\\t\\t다음 Math.ceil (올림함수) 메쏘드를 이용하여 남을 일 수를 반환토록 한다\\n\\t\\tArray의 형태로, dday 값과, 행사이름을 반환하도록.*/\\n\\t} //--dday method 종료.\\n\\n\\tthis.write_del = function() {\\n\\n\\t\\tEvnt_cntnt_line = document.createElement(\\\"div\\\");\\n\\t\\tEvnt_cntnt_line.setAttribute(\\\"class\\\", \\\"Event_cntnt_line\\\");\\n\\t\\tEvnt_cntnt_line.setAttribute(\\\"id\\\", this.dayname);\\n\\t\\t//새로운 줄 만들기\\n\\t\\t//Event_cntnt_line class의 div 태그 생성\\n\\n\\t\\tEvnt_cntnt = document.createElement(\\\"div\\\");\\n\\t\\tEvnt_cntnt.setAttribute(\\\"class\\\", \\\"Event_cntnt\\\");\\n\\t\\t//Event이름칸을 만들어 준다.\\n\\t\\t//Event_cntnt class의 div 태그 생성\\n\\n\\t\\tEvnt_cntnt_txt = document.createTextNode(this.dayname);\\n\\t\\tEvnt_cntnt.appendChild(Evnt_cntnt_txt);\\n\\t\\t//Event 이름칸에 내용을 채워준다.\\n\\t\\t//Event_cntnt div에 Event_txt를 채워준다.\\n\\n\\n\\t\\tEvnt_dday = document.createElement(\\\"div\\\");\\n\\t\\tEvnt_dday.setAttribute(\\\"class\\\", \\\"Event_dday\\\");\\n\\t\\t//Event 디데이칸을 만들어 준다.\\n\\t\\t//Event_dday class의 div 태그 생성\\n\\t\\tif (this.dday() > 0) {\\n\\t\\t\\t//dday의 값에 따라서, dday칸에 들어갈 내용과 색깔을 달리한다.\\n\\n\\t\\t\\tif (this.dday() < 10) {\\n\\t\\t\\t\\tEvnt_dday_txt = document.createTextNode(\\\"D-0\\\" + this.dday());\\n\\t\\t\\t\\tEvnt_dday.appendChild(Evnt_dday_txt);\\n\\t\\t\\t\\t//Event_dday 칸의 내용을 채운다. if문 활용.\\n\\t\\t\\t\\t//dday가 한자리수(<10)이면 'D-0'을 붙여준다.\\n\\t\\t\\t\\tif (this.dday() <= 3) {\\n\\t\\t\\t\\t\\tEvnt_dday.style.backgroundColor = \\\"#ff004d\\\";\\n\\t\\t\\t\\t} //--dday<=3 일 때 종료\\n\\t\\t\\t\\telse {\\n\\t\\t\\t\\t\\tEvnt_dday.style.backgroundColor = \\\"#00b496\\\";\\n\\t\\t\\t\\t}\\n\\t\\t\\t} //--dday<10 일 때 종료\\n\\t\\t\\telse {\\n\\t\\t\\t\\tEvnt_dday_txt = document.createTextNode(\\\"D-\\\" + this.dday());\\n\\t\\t\\t\\tEvnt_dday.appendChild(Evnt_dday_txt);\\n\\t\\t\\t\\t//Event_dday 칸의 내용을 채운다. if문 활용.\\n\\t\\t\\t\\t//dday가 두자리수 이상(>=10)이면 'D-'을 붙여준다.\\n\\t\\t\\t\\tEvnt_dday.style.backgroundColor = \\\"#00b496\\\";\\n\\t\\t\\t} //--dday>= 10 일 때 종료\\n\\n\\t\\t} //--dday>0 일 때 종료\\n\\t\\telse if (this.dday() === 0) {\\n\\t\\t\\tEvnt_dday_txt = document.createTextNode(\\\"D-DAY\\\");\\n\\t\\t\\tEvnt_dday.appendChild(Evnt_dday_txt);\\n\\t\\t\\tEvnt_dday.style.backgroundColor = \\\"purple\\\";\\n\\t\\t\\t//dday===0일 때, dday칸을 보라색으로.\\n\\t\\t} //--dday===0 일 때 종료\\n\\t\\telse if (this.dday() < 0) {\\n\\t\\t\\tif (this.dday() >= -3) {\\n\\t\\t\\t\\tEvnt_dday_txt = document.createTextNode(\\\"종료\\\");\\n\\t\\t\\t\\tEvnt_dday.appendChild(Evnt_dday_txt);\\n\\t\\t\\t\\tEvnt_dday.style.backgroundColor = \\\"#2e2f4a\\\";\\n\\t\\t\\t\\t//--dday<0일 때, dday칸을 남색으로.\\n\\t\\t\\t\\tEvnt_cntnt.style.color = \\\"gray\\\";\\n\\t\\t\\t}\\n\\n\\t\\t} //--dday<0 일 때 종료.\\n\\n\\t\\t//날짜를 제대로 입력하지 않은 경우.\\n\\t\\t//의도적으로 안 적을 수도 있는 것임.(범위를 안내하거나 등)\\n\\t\\telse {\\n\\t\\t\\tEvnt_dday.style.backgroundColor = \\\"white\\\";\\n\\t\\t\\t//배경을 white로 해주고.\\n\\t\\t\\tEvnt_dday.style.borderBottom = \\\"1px solid gray\\\";\\n\\t\\t\\t//밑줄을 검은색으로 깔아준다.\\n\\t\\t}\\n\\n\\t\\t//조건대로 분류되어 만들어진 Evnt_cntnt와 Evnt_dday를\\n\\t\\t//Evnt_cntnt_line에 넣은 후, Evnt_cntnt_box안에 넣어 입력 완료.\\n\\t\\tEvnt_cntnt_line.appendChild(Evnt_cntnt);\\n\\t\\tEvnt_cntnt_line.appendChild(Evnt_dday);\\n\\t\\t//실제 Event_cntnt_line에 내용을 입력하는 코드이다.\\n\\n\\t\\t//Event 설정//\\n\\t\\tEvnt_cntnt_line.addEventListener('mouseover', function() {\\n\\t\\t\\tthis.style.backgroundColor = 'navy';\\n\\t\\t\\tthis.style.color = 'white';\\n\\t\\t})\\n\\n\\t\\tEvnt_cntnt_line.addEventListener('mouseout', function() {\\n\\t\\t\\tthis.style.backgroundColor = '#f5f5ff';\\n\\t\\t\\tthis.style.color = 'black';\\n\\t\\t})\\n\\n\\t\\tEvnt_cntnt_line.addEventListener('click', Evnt_Pop);\\n\\n\\t\\tdocument.getElementById('Event_cntnt_box').appendChild(Evnt_cntnt_line)\\n\\t\\t//실제 Event_cntnt_box안에 Event_cntnt_line을 입력하는 코드이다.\\n\\n\\t\\tif (this.dday() < -3) {\\n\\t\\t\\tEvnt_cntnt_line.remove();\\n\\t\\t\\tEvnt_cntnt.remove();\\n\\t\\t\\tEvnt_cntnt_txt.remove();\\n\\t\\t\\tEvnt_dday.remove();\\n\\t\\t} // 종료된지 3일이 지나면, 태그를 없앤다.\\n\\n\\t} //--this.write_del 종료.\\n\\n\\n\\t////////////////////////////////////////////////////////////////////////\\n\\t////////////////////////////////////////////////////////////////////////\\n\\t//////////////////////////calendar function Start///////////////////////\\n\\t////////////////////////////////////////////////////////////////////////\\n\\t////////////////////////////////////////////////////////////////////////\\n\\n\\tthis.calendar = function() {\\n\\n\\t\\tvar StartDate = new Date(this.day);\\n\\t\\tvar FinishDate = new Date(this.lastday);\\n\\t\\tStartDate_Date = StartDate.getDate();\\n\\t\\tStartDate_Month = StartDate.getMonth() + 1;\\n\\t\\tFinishDate_Date = FinishDate.getDate();\\n\\t\\tFinishDate_Month = FinishDate.getMonth() + 1;\\n\\t\\t//시작일시의 일과 달을 정의한다.\\n\\t\\t//종료일시의 일과 달을 정의한다.\\n\\n\\t\\tif (StartDate_Month !== today.getMonth() + 1) {\\n\\t\\t\\tconsole.log('over')\\n\\t\\t} else if (StartDate.getFullYear().toString() + '-' + StartDate_Month.toString() + '-' + StartDate_Date.toString() ===\\n\\t\\t\\tFinishDate.getFullYear().toString() + '-' + FinishDate_Month.toString() + '-' + FinishDate_Date.toString()) {\\n\\t\\t\\tEvnt_target_box = document.getElementById(StartDate.getFullYear().toString() + '-' + StartDate_Month.toString() + '-' + StartDate_Date.toString());\\n\\n\\t\\t\\tEvnt_calendar_line = document.createElement('div');\\n\\t\\t\\tEvnt_calendar_line.setAttribute(\\\"class\\\", \\\"Evnt_calendar_line\\\");\\n\\t\\t\\tEvnt_calendar_line.setAttribute(\\\"id\\\", this.dayname);\\n\\t\\t\\t//class 이름이 Evnt_calendar_line인 div 태그를 만든다.\\n\\t\\t\\t//id 이름은 이벤트 이름 ; this.dayname으로 지어준다.\\n\\t\\t\\tEvnt_calendar_line.addEventListener(\\\"click\\\", Evnt_Pop);\\n\\t\\t\\tEvnt_calendar_line.textContent = this.dayname;\\n\\t\\t\\t//시작일시에 들어간 칸에는 행사의 이름을 붙인다.\\n\\t\\t\\tEvnt_calendar_line.style.backgroundColor = \\\"rgba(0,\\\" + Math.round(Math.random() * 150) + \\\",\\\" + Math.round(Math.random() * 100) + \\\",0.35)\\\";\\n\\t\\t\\tEvnt_calendar_line.style.color = \\\"black\\\";\\n\\t\\t\\t//행사를 표현하는 색깔을 지정해준다.\\n\\n\\t\\t\\tEvnt_target_box.appendChild(Evnt_calendar_line);\\n\\t\\t} else {\\n\\t\\t\\tbackgroundColor = \\\"rgba(0,\\\" + Math.round(Math.random() * 150) + \\\",\\\" + Math.round(Math.random() * 100) + \\\",0.35)\\\";\\n\\t\\t\\t//Eval이 수일에 걸쳐서 진행할 경우, 배경색깔이 같아야 한다.\\n\\t\\t\\t//for문이 돌기전에 색깔을 정의해주어야 함.\\n\\t\\t\\tfor (var i = StartDate_Date; i <= FinishDate_Date; i++) {\\n\\t\\t\\t\\t//시작일시의 일부터 종료일시의 일까지 반복문을 돌린다.\\n\\t\\t\\t\\tEvnt_target_box = document.getElementById(StartDate.getFullYear().toString() + '-' + StartDate_Month.toString() + '-' + i.toString());\\n\\t\\t\\t\\t//들어갈 일시의 div태그를 찾기위해 getElementById메쏘드를 이용하여\\n\\t\\t\\t\\t//시작일시부터 종료일시까지 들어갈 일시의 div를 찾는다.\\n\\t\\t\\t\\tif (i == StartDate_Date) {\\n\\t\\t\\t\\t\\tEvnt_calendar_line = document.createElement('div');\\n\\t\\t\\t\\t\\tEvnt_calendar_line.setAttribute(\\\"class\\\", \\\"Evnt_calendar_line\\\");\\n\\t\\t\\t\\t\\tEvnt_calendar_line.setAttribute(\\\"id\\\", this.dayname);\\n\\t\\t\\t\\t\\t//class 이름이 Evnt_calendar_line인 div 태그를 만든다.\\n\\t\\t\\t\\t\\t//id 이름은 이벤트 이름 ; this.dayname으로 지어준다.\\n\\t\\t\\t\\t\\tEvnt_calendar_line.addEventListener(\\\"click\\\", Evnt_Pop);\\n\\t\\t\\t\\t\\tEvnt_calendar_line.textContent = this.dayname;\\n\\t\\t\\t\\t\\t//시작일시에 들어간 칸에는 행사의 이름을 붙인다.\\n\\t\\t\\t\\t\\tEvnt_calendar_line.style.background = backgroundColor;\\n\\t\\t\\t\\t\\t//행사를 표현하는 색깔을 지정해준다.\\n\\t\\t\\t\\t\\tEvnt_target_box.appendChild(Evnt_calendar_line);\\n\\t\\t\\t\\t\\t//위에서 만든 Evnt_calendar_line을 Evnt_target_box에 넣는다.\\n\\t\\t\\t\\t} else if (i == FinishDate_Date) {\\n\\t\\t\\t\\t\\tEvnt_calendar_line = document.createElement('div');\\n\\t\\t\\t\\t\\tEvnt_calendar_line.setAttribute(\\\"class\\\", \\\"Evnt_calendar_line\\\");\\n\\t\\t\\t\\t\\tEvnt_calendar_line.setAttribute(\\\"id\\\", this.dayname);\\n\\n\\t\\t\\t\\t\\tEvnt_calendar_line.addEventListener(\\\"click\\\", Evnt_Pop);\\n\\t\\t\\t\\t\\tEvnt_calendar_line.textContent = this.dayname + '종료';\\n\\t\\t\\t\\t\\t//종료일시에 들어간 칸에는 행사의 이름과 '종료'를 붙인다.\\n\\t\\t\\t\\t\\tEvnt_calendar_line.style.background = backgroundColor;\\n\\t\\t\\t\\t\\tEvnt_target_box.appendChild(Evnt_calendar_line);\\n\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\tEvnt_calendar_line = document.createElement('div');\\n\\t\\t\\t\\t\\tEvnt_calendar_line.setAttribute(\\\"class\\\", \\\"Evnt_calendar_line\\\");\\n\\t\\t\\t\\t\\tEvnt_calendar_line.setAttribute(\\\"id\\\", this.dayname);\\n\\t\\t\\t\\t\\t//class 이름이 이벤트 이름인 div 태그를 만든다.\\n\\t\\t\\t\\t\\tEvnt_calendar_line.addEventListener(\\\"click\\\", Evnt_Pop);\\n\\t\\t\\t\\t\\tEvnt_calendar_line.innerText = ' ';\\n\\t\\t\\t\\t\\tEvnt_calendar_line.style.background = backgroundColor;\\n\\t\\t\\t\\t\\tEvnt_target_box.appendChild(Evnt_calendar_line);\\n\\t\\t\\t\\t} //else 종료\\n\\t\\t\\t} //for문 종료\\n\\t\\t} //else 종료\\n\\n\\t} // calendar function 종료\\n\\n\\n\\n\\n\\t//////////////////////////////////////////////////////////////////////\\n\\t//////////////////////////////////////////////////////////////////////\\n\\t//////////////////////////////////////////////////////////////////////\\n\\t//////////////////////////////////////////////////////////////////////\\n\\t//////////////////////////////////////////////////////////////////////\\n\\t//Evnt_Pop function : 캘린더에서 해당 행사를 클릭하면, 클래스 이름에 'on'을 붙인다.\\n\\t//다시누르면 'on'이 빠진다.\\n\\t//'on'이 붙어있을 때에는, div태그를 형성하여, 관련 정보를 열람할 수 있도록 한다.\\n\\t//////////////////////////////////////////////////////////////////////\\n\\t//////////////////////////////////////////////////////////////////////\\n\\t//////////////////////////////////////////////////////////////////////\\n\\t//////////////////////////////////////////////////////////////////////\\n\\t//////////////////////////////////////////////////////////////////////\\n\\t//////////////////////////////////////////////////////////////////////\\n\\n\\n\\n\\tEvnt_Pop = function() {\\n\\t\\tif (this.classList == 'Evnt_calendar_line' || this.classList == 'Event_cntnt_line') {\\n\\t\\t\\tvar Evnt_popup_id = this.getAttribute('id')\\n\\t\\t\\tconsole.log(Evnt_popup_id);\\n\\t\\t\\t//id를 getAttribute 하는 이유는 동일 이름의 image를 땡겨오기 위함이다.\\n\\t\\t\\t//image를 땡겨오기위해서는 models.py를 절실히 배워야한다.\\n\\t\\t\\tthis.classList.add('on');\\n\\t\\t\\t//여기에서의 this는 해당 DOM을 의미한다.\\n\\t\\t\\tEvnt_popup = document.createElement('div');\\n\\t\\t\\tEvnt_popup.setAttribute('class', 'Evnt_popup');\\n\\t\\t\\t// Evnt_popup.innerHTML = 'Choco Hyme'\\n\\t\\t\\tthis.appendChild(Evnt_popup);\\n\\n\\t\\t\\tEvnt_popup_cntnt = document.createElement('div');\\n\\t\\t\\tEvnt_popup_cntnt.setAttribute('class', 'Evnt_popup_cntnt');\\n\\t\\t\\t// Evnt_popup_cntnt.innerHTML = Evnt_popup_id\\n\\t\\t\\tEvnt_popup.appendChild(Evnt_popup_cntnt);\\n\\n\\t\\t\\tEvnt_popup_cntnt_image = document.createElement('img');\\n\\t\\t\\tEvnt_popup_cntnt_image.setAttribute('class', 'Evnt_popup_cntnt_image');\\n\\t\\t\\t// Evnt_popup_id_by_model = {{EventSets.get(dayname=Evnt_popup_id).url}}\\n\\t\\t\\t// Evnt_popup_cntnt_image.src = '{{EventSets.get(dayname=\\\"'+Evnt_popup_id+'\\\").image.url}}'\\n\\t\\t\\tEvnt_popup_cntnt_image.src = '../media/' + Evnt_popup_id + '.jpg';\\n\\t\\t\\tEvnt_popup_cntnt_image.alt = '사진없음'\\n\\t\\t\\tEvnt_popup_cntnt.appendChild(Evnt_popup_cntnt_image);\\n\\t\\t} else if (this.classList == 'Evnt_calendar_line on' || this.classList == 'Event_cntnt_line on') {\\n\\t\\t\\tthis.classList.remove('on');\\n\\t\\t\\tEvnt_popup.remove();\\n\\t\\t}\\n\\t}\\n}\\n\\n//어떤 이벤트 창이 열려있는데 다른 이벤트창이 또 열림.\\n\\n// ------------------------------------------------------------------------\\n// -------------------------------------------------------------------------\\n// -------------------------------------------------------------------------\\n// -------------------------------------------------------------------------\\n// -------------------------------------------------------------------------\\n// -------------------------------------------------------------------------\\n// -------------------------------------------------------------------------\\n\\n// AJAX를 통하여 XMLRequest를 보내보도록 하자.\\nlet Events = new Array();\\n\\nfunction LoadEventSet() {\\n\\tlet url = '/api/eventset';\\n\\tvar req = new XMLHttpRequest();\\n\\treq.open('GET', url);\\n\\treq.onreadystatechange = function() {\\n\\t\\tif (this.readyState == 4 && this.status == 200) {\\n\\t\\t\\tvar jsonResponse = JSON.parse(req.responseText);\\n\\t\\t\\tvar data = jsonResponse['data']\\n\\n\\t\\t\\tfor (let i = 0; i < data.length; i++) {\\n\\t\\t\\t\\t//TODO: EventSet 객체들을 만들어 Array에 넣는다.\\n\\t\\t\\t\\tconsole.log(data[i][\\\"day\\\"], data[i][\\\"lastday\\\"], data[i][\\\"dayname\\\"])\\n\\t\\t\\t\\tlet eventset = new EventSet(\\n\\t\\t\\t\\t\\tdata[i][\\\"day\\\"],\\n\\t\\t\\t\\t\\tdata[i][\\\"lastday\\\"],\\n\\t\\t\\t\\t\\tdata[i][\\\"dayname\\\"],\\n\\t\\t\\t\\t);\\n\\n\\t\\t\\t\\tEvents.push(eventset)\\n\\t\\t\\t\\t// console.log(Events)\\n\\t\\t\\t}\\n\\n\\t\\t\\tEvents.sort(function(a, b) {\\n\\t\\t\\t\\tvar former = new Date(a.day);\\n\\t\\t\\t\\tvar latter = new Date(b.day);\\n\\t\\t\\t\\treturn former.getTime() - latter.getTime();\\n\\t\\t\\t});\\n\\n\\t\\t\\t//아래 sort 함수는 기간이 2일 이상인 eval들을 기준으로,\\n\\t\\t\\t//기간이 긴 eval 부터 윗라인에 채워지도록 한 sort function 이다.\\n\\t\\t\\tEvents.sort(function(a, b) {\\n\\t\\t\\t\\tvar former_firstday = new Date(a.day);\\n\\t\\t\\t\\tvar former_lastday = new Date(a.lastday);\\n\\t\\t\\t\\tvar former_period = former_lastday.getTime() - former_firstday.getTime();\\n\\n\\t\\t\\t\\tvar latter_firstday = new Date(b.day);\\n\\t\\t\\t\\tvar latter_lastday = new Date(b.lastday);\\n\\t\\t\\t\\tvar latter_period = latter_lastday.getTime() - latter_firstday.getTime();\\n\\n\\t\\t\\t\\treturn latter_period - former_period;\\n\\t\\t\\t});\\n\\n console.log(Events)\\n\\t\\t\\tif (document.getElementById(\\\"Event_cntnt_box\\\") !== null) {\\n\\t\\t\\t\\tfor (i = 0; i < Events.length; i++) {\\n\\t\\t\\t\\t\\tEvents[i].write_del();\\n\\t\\t\\t\\t}\\n\\t\\t\\t} else {\\n\\t\\t\\t\\tfor (i = 0; i < Events.length; i++) {\\n\\t\\t\\t\\t\\tEvents[i].calendar();\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\treq.send();\\n}\\n\\nLoadEventSet();\\n\\n//아래 sort 함수는 시작 시작이 빠른 eval이 먼저 오도록 하는 function이다.\\n\\n/////////////////////////////////////////////////////////////////////\\n/////////////////////////////////////////////////////////////////////\\n//////////////////////변수들 Sorting ////////////////////////////////\\n/////////////////////////////////////////////////////////////////////\\n/////////////////////////////////////////////////////////////////////\\n\"\n },\n {\n \"alpha_fraction\": 0.6748992204666138,\n \"alphanum_fraction\": 0.6849798560142517,\n \"avg_line_length\": 30,\n \"blob_id\": \"a4440be5e243968b00c77013f78a341e7a3aa752\",\n \"content_id\": \"24c2a723e9e14f15c2a1a78ff9e6b6e07bbd52f5\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"JavaScript\",\n \"length_bytes\": 2734,\n \"license_type\": \"no_license\",\n \"max_line_length\": 59,\n \"num_lines\": 64,\n \"path\": \"/dot/static/dot/js/Date.js\",\n \"repo_name\": \"MAHT1990/HomeRoom_Project\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"//날짜와 요일 입력\\nvar today = new Date();\\n //Date 객체를 이용하여, today 변수를 정의한다\\nvar today_year = today.getFullYear();\\n //getFullYear()메쏘드를 미용하여 올해 년을 받아 변수로 정의한다.\\nvar today_date = today.getDate();\\n //getDate()메쏘드를 이용하여 일을 받아 변수로 정의한다.\\nvar today_month = today.getMonth()+1;\\n //getMonth()메쏘드를 이용하여 월을 받아 변수로 정의한다.\\n // 주의! getMonth()메쏘드는 월을 0 ~ 11로 반환한다.\\nvar next_month = today.getMonth()+2;\\n\\nvar today_day = today.getDay();\\n\\n//getDay()메쏘드를 이용하여 요일을 숫자형으로 받아 변수 정의\\n//0(일요일) ~ 6(토)\\n//일요일은 값이 0이므로 1을 뺴주게 되면, undefined이다.\\n//그러므로, 조건문을 통해 일요일로 재정의한다.\\n\\nvar week = ['일','월','화','수','목','금','토',];\\nvar weekEng = ['sun','mon','tue','wed','thu','fri','sat',];\\n\\n//week_numb 를 정의해서, 이전 week_numb의 6번(일요일) innerHtml이\\n//내용이 차있으면, week_numb를 높인다.\\n\\nvar ThisFirst = new Date(today_year, today_month-1, 1);\\n//이번달 첫째 날을 ThisFirsh로 지정한다.\\nvar ThisLast = new Date(today_year, today_month, 0);\\n//이번달 마지막 날을 ThisLast로 지정한다.\\n\\nvar PrevFirst = new Date(today_year, today_month-2,1);\\n//저번달 첫째 날을 PrevFirst로 지정한다.\\nvar PrevLast = new Date(today_year, today_month-1,0);\\n//저번달 마지막 날을 PrevFirst로 지정한다.\\n\\nvar NextFirst = new Date(today_year, today_month,1);\\n//저번달 첫째 날을 PrevFirst로 지정한다.\\nvar NextLast = new Date(today_year, today_month+1,0);\\n//저번달 마지막 날을 PrevFirst로 지정한다.\\n\\n\\nvar TFDate = ThisFirst.getDate(); //ThisFirst의 일수를 구한다.\\nvar TFDay = ThisFirst.getDay(); //ThisFirst의 요일을 구한다.\\n\\nvar TLDate = ThisLast.getDate(); //ThisLast의 일수를 구한다.\\nvar TLDay = ThisLast.getDay(); //ThisLast의 요일을 구한다.\\n\\nvar PFDate = PrevFirst.getDate(); //PrevFirst의 일수를 구한다.\\nvar PFDay = PrevFirst.getDay(); //PrevFirst의 요일을 구한다.\\n\\nvar PLDate = PrevLast.getDate(); //PrevLast의 일수를 구한다.\\nvar PLDay = PrevLast.getDay(); //PrevLast의 요일을 구한다.\\n\\nvar NFDate = NextFirst.getDate(); //PrevLast의 일수를 구한다.\\nvar NFDay = NextFirst.getDay(); //PrevLast의 요일을 구한다.\\n\\nvar NLDate = NextLast.getDate(); //PrevLast의 일수를 구한다.\\nvar NLDay = NextLast.getDay(); //PrevLast의 요일을 구한다.\\n\\n// Evenset 함수 정의 시작\\n// Evenset 함수 정의 시작\\n// Evenset 함수 정의 시작\\n// Evenset 함수 정의 시작\\n// Evenset 함수 정의 시작\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":11,"string":"11"}}},{"rowIdx":2980084,"cells":{"repo_name":{"kind":"string","value":"spoonpaw/burning-wheel-random-character-generator"},"repo_url":{"kind":"string","value":"https://github.com/spoonpaw/burning-wheel-random-character-generator"},"snapshot_id":{"kind":"string","value":"d3ed033295702c0fedb55b4aa0b24edab875f44d"},"revision_id":{"kind":"string","value":"acf897ee0e9cd2582b1d800a23af4e4cf0b79a69"},"directory_id":{"kind":"string","value":"5caad67d17671bca97d04b0990ffa3691b4ee363"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2022-12-09T02:17:57.596830","string":"2022-12-09T02:17:57.596830"},"revision_date":{"kind":"timestamp","value":"2020-09-05T01:41:59","string":"2020-09-05T01:41:59"},"committer_date":{"kind":"timestamp","value":"2020-09-05T01:41:59","string":"2020-09-05T01:41:59"},"github_id":{"kind":"number","value":292788037,"string":"292,788,037"},"star_events_count":{"kind":"number","value":3,"string":"3"},"fork_events_count":{"kind":"number","value":1,"string":"1"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.49733081459999084,"alphanum_fraction":0.5062019228935242,"avg_line_length":42.17966079711914,"blob_id":"dc7dd7c777d89626aa3451e75d8a975c302e17df","content_id":"4b7c71d8bc1a56d13d295813d2385e1adb48274e","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":12738,"license_type":"no_license","max_line_length":121,"num_lines":295,"path":"/charredBlackRandomizer.py","repo_name":"spoonpaw/burning-wheel-random-character-generator","src_encoding":"UTF-8","text":"from webdriver_manager.chrome import ChromeDriverManager\nimport pyinputplus as pyip\nimport sys\nfrom selenium import webdriver\nimport time\nimport random\nimport pyautogui\nfrom selenium.common.exceptions import ElementClickInterceptedException\nfrom selenium.webdriver.support.select import Select\n\ncontinueRun = True\n\nwhile continueRun:\n try:\n if raceChoice is not None:\n pass\n else:\n raceChoice = None\n except NameError:\n pass\n try:\n if lifePathNum is not None:\n pass\n else:\n lifePathNum = None\n except NameError:\n pass\n try:\n if genderNum is not None:\n pass\n else:\n genderNum = None\n except NameError:\n pass\n try:\n if lifePathNumber is not None:\n pass\n else:\n lifePathNumber = None\n except NameError:\n pass\n editMode = True\n while editMode:\n print('select a parameter to edit')\n print('1 - race')\n print('2 - number of lifepaths')\n print('3 - gender')\n print('4 - generate')\n print('5 - parameters so far')\n print('0 - exit')\n editChoiceInputNumber = pyip.inputNum()\n if editChoiceInputNumber < 0 or editChoiceInputNumber > 5:\n print('please enter a number between 1 and 5')\n continue\n elif editChoiceInputNumber == 0:\n sys.exit()\n elif editChoiceInputNumber == 1:\n raceEditMode = True\n while raceEditMode:\n print('select a race')\n print('1 - man')\n print('2 - dwarf')\n print('3 - elf')\n print('4 - orc')\n print('5 - roden')\n print('6 - great wolf')\n print('7 - troll')\n print('0 - exit')\n raceChoice = pyip.inputNum()\n if raceChoice < 0 or raceChoice > 7:\n print('please enter a number between 1 and 7')\n continue\n elif raceChoice == 0:\n sys.exit()\n elif raceChoice == 1:\n print('man chosen. would you like to make further adjustments? (y/n)')\n raceName = 'man'\n backToMenuAnswer = pyip.inputYesNo()\n if backToMenuAnswer == 'yes':\n raceEditMode = False\n else:\n raceEditMode = False\n editMode = False\n elif raceChoice == 2:\n print('dwarf chosen. would you like to make further adjustments? (y/n)')\n raceName = 'dwarf'\n backToMenuAnswer = pyip.inputYesNo()\n if backToMenuAnswer == 'yes':\n raceEditMode = False\n else:\n raceEditMode = False\n editMode = False\n elif raceChoice == 3:\n print('elf chosen. would you like to make further adjustments? (y/n)')\n raceName = 'elf'\n backToMenuAnswer = pyip.inputYesNo()\n if backToMenuAnswer == 'yes':\n raceEditMode = False\n else:\n raceEditMode = False\n editMode = False\n elif raceChoice == 4:\n print('orc chosen. would you like to make further adjustments? (y/n)')\n raceName = 'orc'\n backToMenuAnswer = pyip.inputYesNo()\n if backToMenuAnswer == 'yes':\n raceEditMode = False\n else:\n raceEditMode = False\n editMode = False\n elif raceChoice == 5:\n print('roden chosen. would you like to make further adjustments? (y/n)')\n raceName = 'roden'\n backToMenuAnswer = pyip.inputYesNo()\n if backToMenuAnswer == 'yes':\n raceEditMode = False\n else:\n raceEditMode = False\n editMode = False\n elif raceChoice == 6:\n print('great wolf chosen. would you like to make further adjustments? (y/n)')\n raceName = 'great wolf'\n backToMenuAnswer = pyip.inputYesNo()\n if backToMenuAnswer == 'yes':\n raceEditMode = False\n else:\n raceEditMode = False\n editMode = False\n elif raceChoice == 7:\n print('troll chosen. would you like to make further adjustments? (y/n)')\n raceName = 'troll'\n backToMenuAnswer = pyip.inputYesNo()\n if backToMenuAnswer == 'yes':\n raceEditMode = False\n else:\n raceEditMode = False\n editMode = False\n\n elif editChoiceInputNumber == 2:\n lifePathEditMode = True\n while lifePathEditMode:\n print('please enter the number of lifepaths you wish for your character to have')\n lifePathNumber = pyip.inputNum()\n if lifePathNumber <= 0:\n print('please enter a positive integer')\n continue\n print(f'{lifePathNumber} lifepaths chosen. would you like to make further adjustments? (y/n)')\n backToMenuAnswer = pyip.inputYesNo()\n if backToMenuAnswer == 'yes':\n lifePathEditMode = False\n else:\n lifePathEditMode = False\n editMode = False\n elif editChoiceInputNumber == 3:\n genderPathEditMode = True\n while genderPathEditMode:\n print('please pick a gender.')\n print('1 - female')\n print('2 - male')\n genderNum = pyip.inputNum()\n if genderNum < 1 or genderNum > 2:\n print('please enter 1 or 2')\n continue\n if genderNum == 1:\n genderName = 'female'\n print(\"you've chosen female. would you like to make further adjustments? (y/n)\")\n backToMenuAnswer = pyip.inputYesNo()\n if backToMenuAnswer == 'yes':\n genderPathEditMode = False\n else:\n genderPathEditMode = False\n editMode = False\n if genderNum == 2:\n genderName = 'male'\n print(\"you've chosen male. would you like to make further adjustments? (y/n)\")\n backToMenuAnswer = pyip.inputYesNo()\n if backToMenuAnswer == 'yes':\n genderPathEditMode = False\n else:\n genderPathEditMode = False\n editMode = False\n\n elif editChoiceInputNumber == 5:\n print(f'race = {raceName}')\n print(f'number of lifepaths = {lifePathNumber}')\n print(f'gender = {genderName}')\n print('press enter to continue')\n input()\n elif editChoiceInputNumber == 4:\n editMode = False\n break\n generateMode = True\n while generateMode is True:\n driver = webdriver.Chrome(ChromeDriverManager().install())\n driver.implicitly_wait(3)\n driver.get('http://charred-black.herokuapp.com/#/')\n raceSelector = driver.find_element_by_css_selector('#collapse_first > div > div > div > div:nth-child(5) > '\n 'select')\n try:\n if raceChoice is None:\n raceNumber = random.randint(1, 7)\n else:\n raceNumber = raceChoice\n except NameError:\n raceNumber = random.randint(1, 7)\n print(f'raceNumber = {raceNumber}')\n raceSelector2 = Select(driver.find_element_by_xpath('//*[@id=\"collapse_first\"]/div/div/div/div[5]/select'))\n if raceNumber == 1:\n raceSelector2.select_by_value('man')\n elif raceNumber == 2:\n raceSelector2.select_by_value('dwarf')\n elif raceNumber == 3:\n raceSelector2.select_by_value('elf')\n elif raceNumber == 4:\n raceSelector2.select_by_value('orc')\n elif raceNumber == 5:\n raceSelector2.select_by_value('roden')\n elif raceNumber == 6:\n raceSelector2.select_by_value('wolf')\n elif raceNumber == 7:\n raceSelector2.select_by_value('troll')\n genderSelector = driver.find_element_by_css_selector('#collapse_first > div > div > div > div:nth-child(8) > '\n 'select')\n try:\n if genderNum is None:\n genderNumber = random.randint(1, 2)\n else:\n genderNumber = genderNum\n except NameError:\n genderNumber = random.randint(1, 2)\n print(f'genderNumber = {genderNumber}')\n if genderNumber > 1:\n genderSelector2 = Select(driver.find_element_by_xpath('//*[@id=\"collapse_first\"]/div/div/div/div[8]/select'))\n genderSelector2.select_by_value('male')\n else:\n pass\n try:\n if lifePathNumber is None:\n lifePathQuantity = random.randint(4, 6)\n else:\n lifePathQuantity = lifePathNumber\n except NameError:\n lifePathQuantity = random.randint(4, 6)\n print(f'lifepath quantity = {lifePathQuantity}')\n for i in range(0, lifePathQuantity):\n settingSelector = driver.find_element_by_xpath('''//*[@id=\"collapse_lp\"]/div/div[2]/div[1]/div[1]/select''')\n allSettings = settingSelector.find_elements_by_tag_name(\"option\")\n print(f'number of settings available = {len(allSettings)}')\n settingNum = random.randint(1, len(allSettings))\n print(f'settingNum = {settingNum}')\n setting = Select(driver.find_element_by_xpath('''//*[@id=\"collapse_lp\"]/div/div[2]/div[1]/div[1]/select'''))\n setting.select_by_value(str(settingNum - 1))\n lifePathSelector = driver.find_element_by_xpath(\n '''//*[@id=\"collapse_lp\"]/div/div[2]/div[1]/div[2]/select''')\n allLifepaths = lifePathSelector.find_elements_by_tag_name(\"option\")\n print(f'number of lifepaths available = {len(allLifepaths)}')\n lifePathNum = random.randint(1, len(allLifepaths))\n print(f'lifePathNum = {lifePathNum}')\n lifepath = Select(\n driver.find_element_by_xpath('''//*[@id=\"collapse_lp\"]/div/div[2]/div[1]/div[2]/select'''))\n lifepath.select_by_value(str(lifePathNum - 1))\n addLifePathButton = driver.find_element_by_css_selector(\n '#collapse_lp > div > div.container > div:nth-child(1) > div.col-md-1 > a')\n try:\n addLifePathButton.click()\n except ElementClickInterceptedException:\n for m in range(0, 15):\n pyautogui.press('tab')\n pyautogui.press('enter')\n addLifePathButton.click()\n # collapse_lp > div > div.container > div:nth-child(1) > div:nth-child(1) > select\n\n # count = len(Select(settingSelector).options)\n # print(count)\n driver.find_element_by_css_selector('#collapse_stats > div > div > div:nth-child(3) > div > button').click()\n characterFinished = True\n while characterFinished == True:\n print('character complete. do you want to make a new character?')\n print('1 - yes, use the same parameters')\n print('2 - no, please start over from the beginning')\n finishedCharacterInput = pyip.inputNum()\n if finishedCharacterInput < 1 or finishedCharacterInput > 2:\n print('please enter 1 or 2')\n continue\n elif finishedCharacterInput == 2:\n raceChoice = None\n lifePathNum = None\n genderNum = None\n lifePathNumber = None\n characterFinished = False\n generateMode = False\n break\n elif finishedCharacterInput == 1:\n characterFinished = False\n break\n"},{"alpha_fraction":0.8218181729316711,"alphanum_fraction":0.8254545331001282,"avg_line_length":29.55555534362793,"blob_id":"c4eec347f774a7f97aaf503cf4ac69af505ca3b3","content_id":"ce945eae3796cb153f9ce2d670e80e413911da40","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":275,"license_type":"no_license","max_line_length":103,"num_lines":9,"path":"/README.md","repo_name":"spoonpaw/burning-wheel-random-character-generator","src_encoding":"UTF-8","text":"# burning-wheel-random-character-generator\nthis script will open the charred black burning wheel character creator and generate a random character\n\nit needs python 3 to run\nit also requires a few modules that can be installed with pip:\n\npyinputplus\nselenium\nimport pyautogui\n"}],"string":"[\n {\n \"alpha_fraction\": 0.49733081459999084,\n \"alphanum_fraction\": 0.5062019228935242,\n \"avg_line_length\": 42.17966079711914,\n \"blob_id\": \"dc7dd7c777d89626aa3451e75d8a975c302e17df\",\n \"content_id\": \"4b7c71d8bc1a56d13d295813d2385e1adb48274e\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 12738,\n \"license_type\": \"no_license\",\n \"max_line_length\": 121,\n \"num_lines\": 295,\n \"path\": \"/charredBlackRandomizer.py\",\n \"repo_name\": \"spoonpaw/burning-wheel-random-character-generator\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from webdriver_manager.chrome import ChromeDriverManager\\nimport pyinputplus as pyip\\nimport sys\\nfrom selenium import webdriver\\nimport time\\nimport random\\nimport pyautogui\\nfrom selenium.common.exceptions import ElementClickInterceptedException\\nfrom selenium.webdriver.support.select import Select\\n\\ncontinueRun = True\\n\\nwhile continueRun:\\n try:\\n if raceChoice is not None:\\n pass\\n else:\\n raceChoice = None\\n except NameError:\\n pass\\n try:\\n if lifePathNum is not None:\\n pass\\n else:\\n lifePathNum = None\\n except NameError:\\n pass\\n try:\\n if genderNum is not None:\\n pass\\n else:\\n genderNum = None\\n except NameError:\\n pass\\n try:\\n if lifePathNumber is not None:\\n pass\\n else:\\n lifePathNumber = None\\n except NameError:\\n pass\\n editMode = True\\n while editMode:\\n print('select a parameter to edit')\\n print('1 - race')\\n print('2 - number of lifepaths')\\n print('3 - gender')\\n print('4 - generate')\\n print('5 - parameters so far')\\n print('0 - exit')\\n editChoiceInputNumber = pyip.inputNum()\\n if editChoiceInputNumber < 0 or editChoiceInputNumber > 5:\\n print('please enter a number between 1 and 5')\\n continue\\n elif editChoiceInputNumber == 0:\\n sys.exit()\\n elif editChoiceInputNumber == 1:\\n raceEditMode = True\\n while raceEditMode:\\n print('select a race')\\n print('1 - man')\\n print('2 - dwarf')\\n print('3 - elf')\\n print('4 - orc')\\n print('5 - roden')\\n print('6 - great wolf')\\n print('7 - troll')\\n print('0 - exit')\\n raceChoice = pyip.inputNum()\\n if raceChoice < 0 or raceChoice > 7:\\n print('please enter a number between 1 and 7')\\n continue\\n elif raceChoice == 0:\\n sys.exit()\\n elif raceChoice == 1:\\n print('man chosen. would you like to make further adjustments? (y/n)')\\n raceName = 'man'\\n backToMenuAnswer = pyip.inputYesNo()\\n if backToMenuAnswer == 'yes':\\n raceEditMode = False\\n else:\\n raceEditMode = False\\n editMode = False\\n elif raceChoice == 2:\\n print('dwarf chosen. would you like to make further adjustments? (y/n)')\\n raceName = 'dwarf'\\n backToMenuAnswer = pyip.inputYesNo()\\n if backToMenuAnswer == 'yes':\\n raceEditMode = False\\n else:\\n raceEditMode = False\\n editMode = False\\n elif raceChoice == 3:\\n print('elf chosen. would you like to make further adjustments? (y/n)')\\n raceName = 'elf'\\n backToMenuAnswer = pyip.inputYesNo()\\n if backToMenuAnswer == 'yes':\\n raceEditMode = False\\n else:\\n raceEditMode = False\\n editMode = False\\n elif raceChoice == 4:\\n print('orc chosen. would you like to make further adjustments? (y/n)')\\n raceName = 'orc'\\n backToMenuAnswer = pyip.inputYesNo()\\n if backToMenuAnswer == 'yes':\\n raceEditMode = False\\n else:\\n raceEditMode = False\\n editMode = False\\n elif raceChoice == 5:\\n print('roden chosen. would you like to make further adjustments? (y/n)')\\n raceName = 'roden'\\n backToMenuAnswer = pyip.inputYesNo()\\n if backToMenuAnswer == 'yes':\\n raceEditMode = False\\n else:\\n raceEditMode = False\\n editMode = False\\n elif raceChoice == 6:\\n print('great wolf chosen. would you like to make further adjustments? (y/n)')\\n raceName = 'great wolf'\\n backToMenuAnswer = pyip.inputYesNo()\\n if backToMenuAnswer == 'yes':\\n raceEditMode = False\\n else:\\n raceEditMode = False\\n editMode = False\\n elif raceChoice == 7:\\n print('troll chosen. would you like to make further adjustments? (y/n)')\\n raceName = 'troll'\\n backToMenuAnswer = pyip.inputYesNo()\\n if backToMenuAnswer == 'yes':\\n raceEditMode = False\\n else:\\n raceEditMode = False\\n editMode = False\\n\\n elif editChoiceInputNumber == 2:\\n lifePathEditMode = True\\n while lifePathEditMode:\\n print('please enter the number of lifepaths you wish for your character to have')\\n lifePathNumber = pyip.inputNum()\\n if lifePathNumber <= 0:\\n print('please enter a positive integer')\\n continue\\n print(f'{lifePathNumber} lifepaths chosen. would you like to make further adjustments? (y/n)')\\n backToMenuAnswer = pyip.inputYesNo()\\n if backToMenuAnswer == 'yes':\\n lifePathEditMode = False\\n else:\\n lifePathEditMode = False\\n editMode = False\\n elif editChoiceInputNumber == 3:\\n genderPathEditMode = True\\n while genderPathEditMode:\\n print('please pick a gender.')\\n print('1 - female')\\n print('2 - male')\\n genderNum = pyip.inputNum()\\n if genderNum < 1 or genderNum > 2:\\n print('please enter 1 or 2')\\n continue\\n if genderNum == 1:\\n genderName = 'female'\\n print(\\\"you've chosen female. would you like to make further adjustments? (y/n)\\\")\\n backToMenuAnswer = pyip.inputYesNo()\\n if backToMenuAnswer == 'yes':\\n genderPathEditMode = False\\n else:\\n genderPathEditMode = False\\n editMode = False\\n if genderNum == 2:\\n genderName = 'male'\\n print(\\\"you've chosen male. would you like to make further adjustments? (y/n)\\\")\\n backToMenuAnswer = pyip.inputYesNo()\\n if backToMenuAnswer == 'yes':\\n genderPathEditMode = False\\n else:\\n genderPathEditMode = False\\n editMode = False\\n\\n elif editChoiceInputNumber == 5:\\n print(f'race = {raceName}')\\n print(f'number of lifepaths = {lifePathNumber}')\\n print(f'gender = {genderName}')\\n print('press enter to continue')\\n input()\\n elif editChoiceInputNumber == 4:\\n editMode = False\\n break\\n generateMode = True\\n while generateMode is True:\\n driver = webdriver.Chrome(ChromeDriverManager().install())\\n driver.implicitly_wait(3)\\n driver.get('http://charred-black.herokuapp.com/#/')\\n raceSelector = driver.find_element_by_css_selector('#collapse_first > div > div > div > div:nth-child(5) > '\\n 'select')\\n try:\\n if raceChoice is None:\\n raceNumber = random.randint(1, 7)\\n else:\\n raceNumber = raceChoice\\n except NameError:\\n raceNumber = random.randint(1, 7)\\n print(f'raceNumber = {raceNumber}')\\n raceSelector2 = Select(driver.find_element_by_xpath('//*[@id=\\\"collapse_first\\\"]/div/div/div/div[5]/select'))\\n if raceNumber == 1:\\n raceSelector2.select_by_value('man')\\n elif raceNumber == 2:\\n raceSelector2.select_by_value('dwarf')\\n elif raceNumber == 3:\\n raceSelector2.select_by_value('elf')\\n elif raceNumber == 4:\\n raceSelector2.select_by_value('orc')\\n elif raceNumber == 5:\\n raceSelector2.select_by_value('roden')\\n elif raceNumber == 6:\\n raceSelector2.select_by_value('wolf')\\n elif raceNumber == 7:\\n raceSelector2.select_by_value('troll')\\n genderSelector = driver.find_element_by_css_selector('#collapse_first > div > div > div > div:nth-child(8) > '\\n 'select')\\n try:\\n if genderNum is None:\\n genderNumber = random.randint(1, 2)\\n else:\\n genderNumber = genderNum\\n except NameError:\\n genderNumber = random.randint(1, 2)\\n print(f'genderNumber = {genderNumber}')\\n if genderNumber > 1:\\n genderSelector2 = Select(driver.find_element_by_xpath('//*[@id=\\\"collapse_first\\\"]/div/div/div/div[8]/select'))\\n genderSelector2.select_by_value('male')\\n else:\\n pass\\n try:\\n if lifePathNumber is None:\\n lifePathQuantity = random.randint(4, 6)\\n else:\\n lifePathQuantity = lifePathNumber\\n except NameError:\\n lifePathQuantity = random.randint(4, 6)\\n print(f'lifepath quantity = {lifePathQuantity}')\\n for i in range(0, lifePathQuantity):\\n settingSelector = driver.find_element_by_xpath('''//*[@id=\\\"collapse_lp\\\"]/div/div[2]/div[1]/div[1]/select''')\\n allSettings = settingSelector.find_elements_by_tag_name(\\\"option\\\")\\n print(f'number of settings available = {len(allSettings)}')\\n settingNum = random.randint(1, len(allSettings))\\n print(f'settingNum = {settingNum}')\\n setting = Select(driver.find_element_by_xpath('''//*[@id=\\\"collapse_lp\\\"]/div/div[2]/div[1]/div[1]/select'''))\\n setting.select_by_value(str(settingNum - 1))\\n lifePathSelector = driver.find_element_by_xpath(\\n '''//*[@id=\\\"collapse_lp\\\"]/div/div[2]/div[1]/div[2]/select''')\\n allLifepaths = lifePathSelector.find_elements_by_tag_name(\\\"option\\\")\\n print(f'number of lifepaths available = {len(allLifepaths)}')\\n lifePathNum = random.randint(1, len(allLifepaths))\\n print(f'lifePathNum = {lifePathNum}')\\n lifepath = Select(\\n driver.find_element_by_xpath('''//*[@id=\\\"collapse_lp\\\"]/div/div[2]/div[1]/div[2]/select'''))\\n lifepath.select_by_value(str(lifePathNum - 1))\\n addLifePathButton = driver.find_element_by_css_selector(\\n '#collapse_lp > div > div.container > div:nth-child(1) > div.col-md-1 > a')\\n try:\\n addLifePathButton.click()\\n except ElementClickInterceptedException:\\n for m in range(0, 15):\\n pyautogui.press('tab')\\n pyautogui.press('enter')\\n addLifePathButton.click()\\n # collapse_lp > div > div.container > div:nth-child(1) > div:nth-child(1) > select\\n\\n # count = len(Select(settingSelector).options)\\n # print(count)\\n driver.find_element_by_css_selector('#collapse_stats > div > div > div:nth-child(3) > div > button').click()\\n characterFinished = True\\n while characterFinished == True:\\n print('character complete. do you want to make a new character?')\\n print('1 - yes, use the same parameters')\\n print('2 - no, please start over from the beginning')\\n finishedCharacterInput = pyip.inputNum()\\n if finishedCharacterInput < 1 or finishedCharacterInput > 2:\\n print('please enter 1 or 2')\\n continue\\n elif finishedCharacterInput == 2:\\n raceChoice = None\\n lifePathNum = None\\n genderNum = None\\n lifePathNumber = None\\n characterFinished = False\\n generateMode = False\\n break\\n elif finishedCharacterInput == 1:\\n characterFinished = False\\n break\\n\"\n },\n {\n \"alpha_fraction\": 0.8218181729316711,\n \"alphanum_fraction\": 0.8254545331001282,\n \"avg_line_length\": 29.55555534362793,\n \"blob_id\": \"c4eec347f774a7f97aaf503cf4ac69af505ca3b3\",\n \"content_id\": \"ce945eae3796cb153f9ce2d670e80e413911da40\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 275,\n \"license_type\": \"no_license\",\n \"max_line_length\": 103,\n \"num_lines\": 9,\n \"path\": \"/README.md\",\n \"repo_name\": \"spoonpaw/burning-wheel-random-character-generator\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# burning-wheel-random-character-generator\\nthis script will open the charred black burning wheel character creator and generate a random character\\n\\nit needs python 3 to run\\nit also requires a few modules that can be installed with pip:\\n\\npyinputplus\\nselenium\\nimport pyautogui\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":2,"string":"2"}}},{"rowIdx":2980085,"cells":{"repo_name":{"kind":"string","value":"agammsantos/Final-Project-JCDS"},"repo_url":{"kind":"string","value":"https://github.com/agammsantos/Final-Project-JCDS"},"snapshot_id":{"kind":"string","value":"7a6860f73fd5173d62cdf2658d48a86d7e616cb3"},"revision_id":{"kind":"string","value":"72aecec416b81588325770ccbe073c2011f2e65d"},"directory_id":{"kind":"string","value":"a84d659e4e24e61554ef881ed92ed7744413d2d3"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2022-02-05T11:47:01.097422","string":"2022-02-05T11:47:01.097422"},"revision_date":{"kind":"timestamp","value":"2019-07-23T00:14:40","string":"2019-07-23T00:14:40"},"committer_date":{"kind":"timestamp","value":"2019-07-23T00:14:40","string":"2019-07-23T00:14:40"},"github_id":{"kind":"number","value":198082489,"string":"198,082,489"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.7593201994895935,"alphanum_fraction":0.7727521657943726,"avg_line_length":66.5740737915039,"blob_id":"6614ace1058ee1f59cd89fee7fcc9bffcc2963e4","content_id":"5063c28870ebc22c302b1b57cdaca70f09bcc571","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":3653,"license_type":"no_license","max_line_length":638,"num_lines":54,"path":"/readme.md","repo_name":"agammsantos/Final-Project-JCDS","src_encoding":"UTF-8","text":"\n\n# News Category Predictor - Purwadhika Job Connector Data Science Batch 04 Final Project\n\nNews are the window of the world. They keep us updated on what's happening around us every day. With how the stream of news are going around nowadays, some category of news might interest us, while others might not. Of course, in order to save time, you probably want to know what kind of news you are about to read, though i myself doubt that. But in case you do, News Category Predictor can help you on trying to figure out which category does the news belong to by analyzing its headline and short description. Further applications such as filtering news with a web-scrapping program and recommendations by category are possible feats.\n\n**This simple project is made to show a prediction of news category and serve it along with confidence statement as well as probability plot**\n\nThis project falls into the topic of classification with machine learning model.\nThe dataset used for model training is obtainable from [kaggle.com](https://www.kaggle.com/rmisra/news-category-dataset).\n3 machine learning models were used and compared through, they are: \n\n1. Multinomial Naive Bayes Method\n2. Complement Naive Bayes Method\n3. Stochastic Gradient Descent Method\n\nAfter comparing the three models, Complement Naive Bayes Method was chosen to be the one processing all the news data up until the prediction on the front-end interface which was made with the help of [Flask](https://palletsprojects.com/p/flask/) and other miscellaneous things.\n\nAs the preparation, the dataset were all analyzed, cleaned, and plotted with the help of [Pandas](https://pandas.pydata.org/) and [Matplotlib](https://matplotlib.org/). The model were dumped using joblib by *newsmodel.py*. Further on, the barplot which is available on the prediction page were made by utilizing [Seaborn](https://seaborn.pydata.org/)\n\nHere is the collection of Histograms which were being plot by *newsplot.py*:\n\n\n\n\n**How to run the Web App**\n1. Clone/download this repo.\n2. Open *newsflask.py*.\n3. To include the data export to MySQL, make sure you have the same account profile and database, or just delete lines that have to do with MySQL syntax.\n4. Run *newsflask.py*.\n5. The server will run on localhost:5000 which bring you to the homepage:\n \n This page serves as the landing page with a few navigation buttons such as:\n - News Category Predictor: Takes you to the same page.\n - Categories / List of Categories: Scroll the page down to categories section which tell you categories available for predicting.\n - Start Predicting: Scroll the page down to predicting section, which is the main feature of the project.\n\n Categories:\n \n \n\n Start Prediction:\n \n\n6. After you fill the required features, click on the Predict Category, it will bring you to the prediction result page with a Back button:\n \n Note that the news headline and description used for this result were taken from [60secondsnow.com](https://www.60secondsnow.com/).\n\nMySQL was used only to store prediction data which the user has input through homepage on Predicting Category. *404 Error* also included on the template.\n\n___\n### I really hope this project could be any of use to you. Corrections and further applications are very welcome 😊\n\n#### ✉ _agammsantos@yahoo.com_"},{"alpha_fraction":0.7240291237831116,"alphanum_fraction":0.7271844744682312,"avg_line_length":44.27472686767578,"blob_id":"e6079cf0c51267af71f1548792aa33caedd4ec88","content_id":"3cc3764b0f220af6076a18b29b0d163ef73e0050","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":4120,"license_type":"no_license","max_line_length":127,"num_lines":91,"path":"/newsmodel.py","repo_name":"agammsantos/Final-Project-JCDS","src_encoding":"UTF-8","text":"import pandas as pd\nimport numpy as np\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.feature_extraction.text import CountVectorizer\nfrom sklearn.naive_bayes import MultinomialNB\nfrom sklearn.naive_bayes import ComplementNB\nfrom sklearn.linear_model import SGDClassifier\nfrom sklearn.pipeline import Pipeline\nfrom sklearn.metrics import classification_report, confusion_matrix\nimport joblib as jb\n\n\ndata=pd.read_json('News_Category_Dataset_v2.json',lines=True)\n# print(data[data['headline'].isnull()==True])\n# print(data[data['short_description'].isnull()==True])\n# print(data.columns.values)\n# print(data['category'].value_counts())\n\ndata.category = data.category.map(lambda x: \"ARTS & CULTURE\" if x == \"ARTS\" or x == \"CULTURE & ARTS\" else x)\ndata.category = data.category.map(lambda x: \"WEIRD NEWS & COMEDY\" if x == \"COMEDY\" or x == \"WEIRD NEWS\" else x)\ndata.category = data.category.map(lambda x: \"BUSINESS\" if x == \"MONEY\" else x)\ndata.category = data.category.map(lambda x: \"EDUCATION\" if x == \"COLLEGE\" else x)\ndata.category = data.category.map(lambda x: \"HOME & LIVING\" if x == \"HEALTHY LIVING\" or x == \"WELLNESS\" or x == \"FIFTY\" else x)\ndata.category = data.category.map(lambda x: \"PARENTS\" if x == \"PARENTING\" else x)\ndata.category = data.category.map(lambda x: \"IMPACT\" if x == \"GOOD NEWS\" else x)\ndata.category = data.category.map(lambda x: \"ENVIRONMENT\" if x == \"GREEN\" else x)\ndata.category = data.category.map(lambda x: \"STYLE & BEAUTY\" if x == \"STYLE\" else x)\ndata.category = data.category.map(lambda x: \"FOOD & DRINK\" if x == \"TASTE\" else x)\ndata.category = data.category.map(lambda x: \"SCIENCE & TECH\" if x == \"SCIENCE\" or x == \"TECH\" else x)\ndata.category = data.category.map(lambda x: \"WORLD NEWS\" if x == \"THE WORLDPOST\" or x == \"WORLDPOST\" else x)\nprint(data['category'].value_counts())\n# print(data['features'][data['category']=='COMEDY'])\n# print(data['features'][data['category']=='WEIRD NEWS'])\n# data=data.drop(data[data['category']=='GOOD NEWS'].index.values)\n# data=data.drop(data[data['category']=='IMPACT'].index.values)\n\ndata['features']=data['headline']+' '+data['short_description']\ndata['features']=data['features'].apply(lambda x: x.lower())\ndata['hwlen'] = data['headline'].apply(lambda x: x.split(' ')).apply(len)\ndata['dwlen'] = data['short_description'].apply(lambda x: x.split(' ')).apply(len)\ndata['fwlen'] = data['features'].apply(lambda x: x.split(' ')).apply(len)\ndata.to_csv(r'news.csv')\n# print(data['features'].head())\n# print(data['fwlen'].max())\n\n\nx = data['features']\ny = data['category']\nxtr, xts, ytr, yts = train_test_split(x, y, test_size=.05, random_state=42)\n\nmultinomialPipeline = Pipeline([\n ('cv',CountVectorizer(stop_words='english')),\n ('classifier',MultinomialNB())\n])\nmultinomialPipeline.fit(xtr,ytr)\nmultinomialPrediksi = multinomialPipeline.predict(xts)\n\ncomplementPipeline = Pipeline([\n ('cv',CountVectorizer(stop_words='english')),\n ('classifier',ComplementNB())\n])\ncomplementPipeline.fit(xtr,ytr)\ncomplementPrediksi = complementPipeline.predict(xts)\n\nsgdcPipeline = Pipeline([\n ('cv',CountVectorizer(stop_words='english')),\n ('classifier',SGDClassifier(loss='hinge', penalty='l2',alpha=1e-3, random_state=42, max_iter=5, tol=1e-3))\n])\nsgdcPipeline.fit(xtr,ytr)\nsgdcPrediksi = sgdcPipeline.predict(xts)\n\nprint('Dengan metode MultinomialNB, diperoleh: ')\nprint(classification_report(yts,multinomialPrediksi))\nprint(confusion_matrix(yts,multinomialPrediksi))\nprint('\\n')\nprint('Dengan metode ComplementNB, diperoleh: ')\nprint(classification_report(yts,complementPrediksi))\nprint(confusion_matrix(yts,complementPrediksi))\nprint('\\n')\nprint('Dengan metode Stochastic Gradient Descent, diperoleh: ')\nprint(classification_report(yts,sgdcPrediksi))\nprint(confusion_matrix(yts,sgdcPrediksi))\n\nhead = \"Tiger Woods misses Open cut, yearns for 'hot weeks'\"\ndesc = 'Tiger Woods missed the cut in the Open Championship at Royal Portrush'\nfeat = head+' '+desc\nprint(complementPipeline.predict([feat]))\nprint(complementPipeline.predict_proba([feat]))\nprint(complementPipeline.score(xtr,ytr))\n\njb.dump(complementPipeline, 'modelComplement')\n"},{"alpha_fraction":0.6500852704048157,"alphanum_fraction":0.6722569465637207,"avg_line_length":34.189998626708984,"blob_id":"be89c03734b00e698e827cb14de2916564d89c1e","content_id":"a0cd90206691a4b3df10aee8459341018e6a93fb","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":3518,"license_type":"no_license","max_line_length":148,"num_lines":100,"path":"/newsflask.py","repo_name":"agammsantos/Final-Project-JCDS","src_encoding":"UTF-8","text":"import numpy as np\nimport pandas as pd\nfrom flask import Flask, render_template, request\nfrom flask_mysqldb import MySQL \nimport matplotlib.pyplot as plt\nimport seaborn as sns\nimport base64\nimport io\nimport joblib as jb\n\napp=Flask(__name__,static_url_path='/static')\nmysql=MySQL(app)\n\napp.config['MYSQL_HOST']='localhost'\napp.config['MYSQL_USER']='agammsantos'\napp.config['MYSQL_PASSWORD']=base64.b64decode(b\"RGFuY2VyMTE5OQ==\").decode('utf-8')\napp.config['MYSQL_DB']='news'\n\n@app.route('/')\ndef home():\n return render_template('land.htm')\n\n@app.route('/prediksi', methods=['POST'])\ndef predict():\n head=str(request.form['head']).lower()\n desc=str(request.form['desc']).lower()\n feature=head+' '+desc\n \n prediksi=model.predict([feature])[0]\n prediksi_l=prediksi.lower().split(' ')\n prediksi_u=[]\n for i in prediksi_l:\n prediksi_u.append(i[0].upper()+i[1:])\n kategori=' '.join(prediksi_u)\n \n probabilitas=model.predict_proba([feature])\n enumprob=list(enumerate(probabilitas[0]))\n enumprob.sort(key=lambda x:x[1],reverse=True)\n probutama=enumprob[:5]\n\n df=pd.read_csv('news.csv')\n sortedlist=df['category'].unique()\n sortedlist.sort()\n \n plotkategori=[]\n plotprob=[]\n for i in probutama:\n plotkategori.append(sortedlist[i[0]])\n plotprob.append(i[1]*100)\n\n plt.close()\n sns.set(style=\"darkgrid\")\n sns.set_context(\"talk\")\n ax=sns.barplot(plotprob,plotkategori,palette=\"Blues_d\")\n ax.set(xlabel='Probability (%)',ylabel='')\n plotlist=[(plotprob[i],plotkategori[i]) for i in range(0,len(plotprob))]\n xticks=np.arange(0,101,20)\n index=0\n for a,b in plotlist:\n ax.text(a+13.5,index+0.1,str(round(a,2))+'%',color='black',ha=\"center\")\n index+=1\n ax.set_xticks(xticks)\n plt.tight_layout()\n fig=ax.get_figure()\n \n img=io.BytesIO()\n fig.savefig(img,format='png',transparent=True)\n img.seek(0)\n graph_url=base64.b64encode(img.getvalue()).decode()\n graph='data:image/png;base64,{}'.format(graph_url)\n\n if (plotprob[0]-plotprob[1])<5 and (plotprob[1]-plotprob[2])<5 and (plotprob[2]-plotprob[3])<5 and (plotprob[3]-plotprob[4])<5:\n statement=\"We must say this one is too hard to predict. The words are just too random. Here's the visualization for you: \"\n elif (plotprob[0]-plotprob[1])<5 and (plotprob[1]-plotprob[2])<5:\n statement=\"Though it seems we're likely wrong about the prediction. Worry not, we have the tendencies for you: \"\n elif (plotprob[0]-plotprob[1])<5:\n statement=\"We kind of doubt this prediction result ourselves, But it's basically one or another it seems: \"\n elif 5<=(plotprob[0]-plotprob[1])<10:\n statement=\"We are on the stance of confidence right here about the prediction. In case we're wrong, we have the probabilities: \"\n elif (plotprob[0]-plotprob[1])>=10:\n statement=\"We are pretty sure about this prediction. Here's why: \"\n\n x=mysql.connection.cursor()\n x.execute('insert into news (headline,description,prediction) values (%s,%s,%s)',(str(request.form['head']),str(request.form['desc']),kategori))\n mysql.connection.commit()\n\n predictData=[kategori,statement,graph]\n return render_template('predict.htm',prediction=predictData)\n\n@app.route('/NotFound')\ndef notFound():\n return render_template('error.htm')\n\n@app.errorhandler(404)\ndef notFound404(error):\n return render_template('error.htm')\n\nif __name__=='__main__':\n model=jb.load('modelComplement')\n app.run(debug=True)"},{"alpha_fraction":0.6704155206680298,"alphanum_fraction":0.6847860217094421,"avg_line_length":41.68000030517578,"blob_id":"bb76163209492a1945d9bb368d7b76eeaf13824e","content_id":"adfab30fe2ca68c0676c100841ad024a9e5536db","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":3201,"license_type":"no_license","max_line_length":127,"num_lines":75,"path":"/newsplot.py","repo_name":"agammsantos/Final-Project-JCDS","src_encoding":"UTF-8","text":"import pandas as pd\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport seaborn as sns\n\ndata=pd.read_json('News_Category_Dataset_v2.json',lines=True)\nprint(data[data['headline'].isnull()==True])\nprint(data[data['short_description'].isnull()==True])\n# print(data.columns.values)\n# print(data['category'].value_counts())\n\ndata.category = data.category.map(lambda x: \"ARTS & CULTURE\" if x == \"ARTS\" or x == \"CULTURE & ARTS\" else x)\ndata.category = data.category.map(lambda x: \"WEIRD NEWS & COMEDY\" if x == \"COMEDY\" or x == \"WEIRD NEWS\" else x)\ndata.category = data.category.map(lambda x: \"BUSINESS\" if x == \"MONEY\" else x)\ndata.category = data.category.map(lambda x: \"EDUCATION\" if x == \"COLLEGE\" else x)\ndata.category = data.category.map(lambda x: \"HOME & LIVING\" if x == \"HEALTHY LIVING\" or x == \"WELLNESS\" or x == \"FIFTY\" else x)\ndata.category = data.category.map(lambda x: \"PARENTS\" if x == \"PARENTING\" else x)\ndata.category = data.category.map(lambda x: \"IMPACT\" if x == \"GOOD NEWS\" else x)\ndata.category = data.category.map(lambda x: \"ENVIRONMENT\" if x == \"GREEN\" else x)\ndata.category = data.category.map(lambda x: \"STYLE & BEAUTY\" if x == \"STYLE\" else x)\ndata.category = data.category.map(lambda x: \"FOOD & DRINK\" if x == \"TASTE\" else x)\ndata.category = data.category.map(lambda x: \"SCIENCE & TECH\" if x == \"SCIENCE\" or x == \"TECH\" else x)\ndata.category = data.category.map(lambda x: \"WORLD NEWS\" if x == \"THE WORLDPOST\" or x == \"WORLDPOST\" else x)\n# print(data['features'][data['category']=='COMEDY'])\n# print(data['features'][data['category']=='WEIRD NEWS'])\n# data=data.drop(data[data['category']=='GOOD NEWS'].index.values)\n# data=data.drop(data[data['category']=='IMPACT'].index.values)\n\ndata['features']=data['headline']+' '+data['short_description']\ndata['features']=data['features'].apply(lambda x: x.lower())\ndata['hwlen'] = data['headline'].apply(lambda x: x.split(' ')).apply(len)\ndata['dwlen'] = data['short_description'].apply(lambda x: x.split(' ')).apply(len)\ndata['fwlen'] = data['features'].apply(lambda x: x.split(' ')).apply(len)\n# print(data['features'].head())\n# print(data['fwlen'].max())\n\n\ngrouped=data.groupby('category')\nprint(grouped.ngroups)\nprint(grouped.describe())\n\nplt.figure('Histogram 1',figsize=(25,25))\nplt.suptitle('Histogram Jumlah Kata Headline Per Kategori',size=25)\ni=1\nfor group in grouped:\n plt.subplot(5,5,i)\n plt.title(group[0])\n plt.hist(group[1]['hwlen'],bins='auto')\n i+=1 \nplt.subplots_adjust(hspace=.6,wspace=.4)\nplt.savefig('./histogramh.png',format='png')\n\nplt.figure('Histogram 2',figsize=(25,25))\nplt.suptitle('Histogram Jumlah Kata Deskripsi Per Kategori',size=25)\ni=1\nfor group in grouped:\n plt.subplot(5,5,i)\n plt.title(group[0])\n plt.hist(group[1]['dwlen'],bins='auto')\n i+=1 \nplt.subplots_adjust(hspace=.6,wspace=.4)\nplt.savefig('./histogramd.png',format='png')\n\nplt.figure('Histogram 3',figsize=(25,25))\nplt.suptitle('Histogram Jumlah Kata Features Per Kategori',size=25)\ni=1\nfor group in grouped:\n plt.subplot(5,5,i)\n plt.title(group[0])\n plt.hist(group[1]['fwlen'],bins='auto')\n i+=1 \nplt.subplots_adjust(hspace=.6,wspace=.4)\nplt.savefig('./histogramf.png',format='png')\n\nplt.show()\n"}],"string":"[\n {\n \"alpha_fraction\": 0.7593201994895935,\n \"alphanum_fraction\": 0.7727521657943726,\n \"avg_line_length\": 66.5740737915039,\n \"blob_id\": \"6614ace1058ee1f59cd89fee7fcc9bffcc2963e4\",\n \"content_id\": \"5063c28870ebc22c302b1b57cdaca70f09bcc571\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 3653,\n \"license_type\": \"no_license\",\n \"max_line_length\": 638,\n \"num_lines\": 54,\n \"path\": \"/readme.md\",\n \"repo_name\": \"agammsantos/Final-Project-JCDS\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"\\n\\n# News Category Predictor - Purwadhika Job Connector Data Science Batch 04 Final Project\\n\\nNews are the window of the world. They keep us updated on what's happening around us every day. With how the stream of news are going around nowadays, some category of news might interest us, while others might not. Of course, in order to save time, you probably want to know what kind of news you are about to read, though i myself doubt that. But in case you do, News Category Predictor can help you on trying to figure out which category does the news belong to by analyzing its headline and short description. Further applications such as filtering news with a web-scrapping program and recommendations by category are possible feats.\\n\\n**This simple project is made to show a prediction of news category and serve it along with confidence statement as well as probability plot**\\n\\nThis project falls into the topic of classification with machine learning model.\\nThe dataset used for model training is obtainable from [kaggle.com](https://www.kaggle.com/rmisra/news-category-dataset).\\n3 machine learning models were used and compared through, they are: \\n\\n1. Multinomial Naive Bayes Method\\n2. Complement Naive Bayes Method\\n3. Stochastic Gradient Descent Method\\n\\nAfter comparing the three models, Complement Naive Bayes Method was chosen to be the one processing all the news data up until the prediction on the front-end interface which was made with the help of [Flask](https://palletsprojects.com/p/flask/) and other miscellaneous things.\\n\\nAs the preparation, the dataset were all analyzed, cleaned, and plotted with the help of [Pandas](https://pandas.pydata.org/) and [Matplotlib](https://matplotlib.org/). The model were dumped using joblib by *newsmodel.py*. Further on, the barplot which is available on the prediction page were made by utilizing [Seaborn](https://seaborn.pydata.org/)\\n\\nHere is the collection of Histograms which were being plot by *newsplot.py*:\\n\\n\\n\\n\\n**How to run the Web App**\\n1. Clone/download this repo.\\n2. Open *newsflask.py*.\\n3. To include the data export to MySQL, make sure you have the same account profile and database, or just delete lines that have to do with MySQL syntax.\\n4. Run *newsflask.py*.\\n5. The server will run on localhost:5000 which bring you to the homepage:\\n \\n This page serves as the landing page with a few navigation buttons such as:\\n - News Category Predictor: Takes you to the same page.\\n - Categories / List of Categories: Scroll the page down to categories section which tell you categories available for predicting.\\n - Start Predicting: Scroll the page down to predicting section, which is the main feature of the project.\\n\\n Categories:\\n \\n \\n\\n Start Prediction:\\n \\n\\n6. After you fill the required features, click on the Predict Category, it will bring you to the prediction result page with a Back button:\\n \\n Note that the news headline and description used for this result were taken from [60secondsnow.com](https://www.60secondsnow.com/).\\n\\nMySQL was used only to store prediction data which the user has input through homepage on Predicting Category. *404 Error* also included on the template.\\n\\n___\\n### I really hope this project could be any of use to you. Corrections and further applications are very welcome 😊\\n\\n#### ✉ _agammsantos@yahoo.com_\"\n },\n {\n \"alpha_fraction\": 0.7240291237831116,\n \"alphanum_fraction\": 0.7271844744682312,\n \"avg_line_length\": 44.27472686767578,\n \"blob_id\": \"e6079cf0c51267af71f1548792aa33caedd4ec88\",\n \"content_id\": \"3cc3764b0f220af6076a18b29b0d163ef73e0050\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 4120,\n \"license_type\": \"no_license\",\n \"max_line_length\": 127,\n \"num_lines\": 91,\n \"path\": \"/newsmodel.py\",\n \"repo_name\": \"agammsantos/Final-Project-JCDS\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import pandas as pd\\nimport numpy as np\\nfrom sklearn.model_selection import train_test_split\\nfrom sklearn.feature_extraction.text import CountVectorizer\\nfrom sklearn.naive_bayes import MultinomialNB\\nfrom sklearn.naive_bayes import ComplementNB\\nfrom sklearn.linear_model import SGDClassifier\\nfrom sklearn.pipeline import Pipeline\\nfrom sklearn.metrics import classification_report, confusion_matrix\\nimport joblib as jb\\n\\n\\ndata=pd.read_json('News_Category_Dataset_v2.json',lines=True)\\n# print(data[data['headline'].isnull()==True])\\n# print(data[data['short_description'].isnull()==True])\\n# print(data.columns.values)\\n# print(data['category'].value_counts())\\n\\ndata.category = data.category.map(lambda x: \\\"ARTS & CULTURE\\\" if x == \\\"ARTS\\\" or x == \\\"CULTURE & ARTS\\\" else x)\\ndata.category = data.category.map(lambda x: \\\"WEIRD NEWS & COMEDY\\\" if x == \\\"COMEDY\\\" or x == \\\"WEIRD NEWS\\\" else x)\\ndata.category = data.category.map(lambda x: \\\"BUSINESS\\\" if x == \\\"MONEY\\\" else x)\\ndata.category = data.category.map(lambda x: \\\"EDUCATION\\\" if x == \\\"COLLEGE\\\" else x)\\ndata.category = data.category.map(lambda x: \\\"HOME & LIVING\\\" if x == \\\"HEALTHY LIVING\\\" or x == \\\"WELLNESS\\\" or x == \\\"FIFTY\\\" else x)\\ndata.category = data.category.map(lambda x: \\\"PARENTS\\\" if x == \\\"PARENTING\\\" else x)\\ndata.category = data.category.map(lambda x: \\\"IMPACT\\\" if x == \\\"GOOD NEWS\\\" else x)\\ndata.category = data.category.map(lambda x: \\\"ENVIRONMENT\\\" if x == \\\"GREEN\\\" else x)\\ndata.category = data.category.map(lambda x: \\\"STYLE & BEAUTY\\\" if x == \\\"STYLE\\\" else x)\\ndata.category = data.category.map(lambda x: \\\"FOOD & DRINK\\\" if x == \\\"TASTE\\\" else x)\\ndata.category = data.category.map(lambda x: \\\"SCIENCE & TECH\\\" if x == \\\"SCIENCE\\\" or x == \\\"TECH\\\" else x)\\ndata.category = data.category.map(lambda x: \\\"WORLD NEWS\\\" if x == \\\"THE WORLDPOST\\\" or x == \\\"WORLDPOST\\\" else x)\\nprint(data['category'].value_counts())\\n# print(data['features'][data['category']=='COMEDY'])\\n# print(data['features'][data['category']=='WEIRD NEWS'])\\n# data=data.drop(data[data['category']=='GOOD NEWS'].index.values)\\n# data=data.drop(data[data['category']=='IMPACT'].index.values)\\n\\ndata['features']=data['headline']+' '+data['short_description']\\ndata['features']=data['features'].apply(lambda x: x.lower())\\ndata['hwlen'] = data['headline'].apply(lambda x: x.split(' ')).apply(len)\\ndata['dwlen'] = data['short_description'].apply(lambda x: x.split(' ')).apply(len)\\ndata['fwlen'] = data['features'].apply(lambda x: x.split(' ')).apply(len)\\ndata.to_csv(r'news.csv')\\n# print(data['features'].head())\\n# print(data['fwlen'].max())\\n\\n\\nx = data['features']\\ny = data['category']\\nxtr, xts, ytr, yts = train_test_split(x, y, test_size=.05, random_state=42)\\n\\nmultinomialPipeline = Pipeline([\\n ('cv',CountVectorizer(stop_words='english')),\\n ('classifier',MultinomialNB())\\n])\\nmultinomialPipeline.fit(xtr,ytr)\\nmultinomialPrediksi = multinomialPipeline.predict(xts)\\n\\ncomplementPipeline = Pipeline([\\n ('cv',CountVectorizer(stop_words='english')),\\n ('classifier',ComplementNB())\\n])\\ncomplementPipeline.fit(xtr,ytr)\\ncomplementPrediksi = complementPipeline.predict(xts)\\n\\nsgdcPipeline = Pipeline([\\n ('cv',CountVectorizer(stop_words='english')),\\n ('classifier',SGDClassifier(loss='hinge', penalty='l2',alpha=1e-3, random_state=42, max_iter=5, tol=1e-3))\\n])\\nsgdcPipeline.fit(xtr,ytr)\\nsgdcPrediksi = sgdcPipeline.predict(xts)\\n\\nprint('Dengan metode MultinomialNB, diperoleh: ')\\nprint(classification_report(yts,multinomialPrediksi))\\nprint(confusion_matrix(yts,multinomialPrediksi))\\nprint('\\\\n')\\nprint('Dengan metode ComplementNB, diperoleh: ')\\nprint(classification_report(yts,complementPrediksi))\\nprint(confusion_matrix(yts,complementPrediksi))\\nprint('\\\\n')\\nprint('Dengan metode Stochastic Gradient Descent, diperoleh: ')\\nprint(classification_report(yts,sgdcPrediksi))\\nprint(confusion_matrix(yts,sgdcPrediksi))\\n\\nhead = \\\"Tiger Woods misses Open cut, yearns for 'hot weeks'\\\"\\ndesc = 'Tiger Woods missed the cut in the Open Championship at Royal Portrush'\\nfeat = head+' '+desc\\nprint(complementPipeline.predict([feat]))\\nprint(complementPipeline.predict_proba([feat]))\\nprint(complementPipeline.score(xtr,ytr))\\n\\njb.dump(complementPipeline, 'modelComplement')\\n\"\n },\n {\n \"alpha_fraction\": 0.6500852704048157,\n \"alphanum_fraction\": 0.6722569465637207,\n \"avg_line_length\": 34.189998626708984,\n \"blob_id\": \"be89c03734b00e698e827cb14de2916564d89c1e\",\n \"content_id\": \"a0cd90206691a4b3df10aee8459341018e6a93fb\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 3518,\n \"license_type\": \"no_license\",\n \"max_line_length\": 148,\n \"num_lines\": 100,\n \"path\": \"/newsflask.py\",\n \"repo_name\": \"agammsantos/Final-Project-JCDS\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import numpy as np\\nimport pandas as pd\\nfrom flask import Flask, render_template, request\\nfrom flask_mysqldb import MySQL \\nimport matplotlib.pyplot as plt\\nimport seaborn as sns\\nimport base64\\nimport io\\nimport joblib as jb\\n\\napp=Flask(__name__,static_url_path='/static')\\nmysql=MySQL(app)\\n\\napp.config['MYSQL_HOST']='localhost'\\napp.config['MYSQL_USER']='agammsantos'\\napp.config['MYSQL_PASSWORD']=base64.b64decode(b\\\"RGFuY2VyMTE5OQ==\\\").decode('utf-8')\\napp.config['MYSQL_DB']='news'\\n\\n@app.route('/')\\ndef home():\\n return render_template('land.htm')\\n\\n@app.route('/prediksi', methods=['POST'])\\ndef predict():\\n head=str(request.form['head']).lower()\\n desc=str(request.form['desc']).lower()\\n feature=head+' '+desc\\n \\n prediksi=model.predict([feature])[0]\\n prediksi_l=prediksi.lower().split(' ')\\n prediksi_u=[]\\n for i in prediksi_l:\\n prediksi_u.append(i[0].upper()+i[1:])\\n kategori=' '.join(prediksi_u)\\n \\n probabilitas=model.predict_proba([feature])\\n enumprob=list(enumerate(probabilitas[0]))\\n enumprob.sort(key=lambda x:x[1],reverse=True)\\n probutama=enumprob[:5]\\n\\n df=pd.read_csv('news.csv')\\n sortedlist=df['category'].unique()\\n sortedlist.sort()\\n \\n plotkategori=[]\\n plotprob=[]\\n for i in probutama:\\n plotkategori.append(sortedlist[i[0]])\\n plotprob.append(i[1]*100)\\n\\n plt.close()\\n sns.set(style=\\\"darkgrid\\\")\\n sns.set_context(\\\"talk\\\")\\n ax=sns.barplot(plotprob,plotkategori,palette=\\\"Blues_d\\\")\\n ax.set(xlabel='Probability (%)',ylabel='')\\n plotlist=[(plotprob[i],plotkategori[i]) for i in range(0,len(plotprob))]\\n xticks=np.arange(0,101,20)\\n index=0\\n for a,b in plotlist:\\n ax.text(a+13.5,index+0.1,str(round(a,2))+'%',color='black',ha=\\\"center\\\")\\n index+=1\\n ax.set_xticks(xticks)\\n plt.tight_layout()\\n fig=ax.get_figure()\\n \\n img=io.BytesIO()\\n fig.savefig(img,format='png',transparent=True)\\n img.seek(0)\\n graph_url=base64.b64encode(img.getvalue()).decode()\\n graph='data:image/png;base64,{}'.format(graph_url)\\n\\n if (plotprob[0]-plotprob[1])<5 and (plotprob[1]-plotprob[2])<5 and (plotprob[2]-plotprob[3])<5 and (plotprob[3]-plotprob[4])<5:\\n statement=\\\"We must say this one is too hard to predict. The words are just too random. Here's the visualization for you: \\\"\\n elif (plotprob[0]-plotprob[1])<5 and (plotprob[1]-plotprob[2])<5:\\n statement=\\\"Though it seems we're likely wrong about the prediction. Worry not, we have the tendencies for you: \\\"\\n elif (plotprob[0]-plotprob[1])<5:\\n statement=\\\"We kind of doubt this prediction result ourselves, But it's basically one or another it seems: \\\"\\n elif 5<=(plotprob[0]-plotprob[1])<10:\\n statement=\\\"We are on the stance of confidence right here about the prediction. In case we're wrong, we have the probabilities: \\\"\\n elif (plotprob[0]-plotprob[1])>=10:\\n statement=\\\"We are pretty sure about this prediction. Here's why: \\\"\\n\\n x=mysql.connection.cursor()\\n x.execute('insert into news (headline,description,prediction) values (%s,%s,%s)',(str(request.form['head']),str(request.form['desc']),kategori))\\n mysql.connection.commit()\\n\\n predictData=[kategori,statement,graph]\\n return render_template('predict.htm',prediction=predictData)\\n\\n@app.route('/NotFound')\\ndef notFound():\\n return render_template('error.htm')\\n\\n@app.errorhandler(404)\\ndef notFound404(error):\\n return render_template('error.htm')\\n\\nif __name__=='__main__':\\n model=jb.load('modelComplement')\\n app.run(debug=True)\"\n },\n {\n \"alpha_fraction\": 0.6704155206680298,\n \"alphanum_fraction\": 0.6847860217094421,\n \"avg_line_length\": 41.68000030517578,\n \"blob_id\": \"bb76163209492a1945d9bb368d7b76eeaf13824e\",\n \"content_id\": \"adfab30fe2ca68c0676c100841ad024a9e5536db\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 3201,\n \"license_type\": \"no_license\",\n \"max_line_length\": 127,\n \"num_lines\": 75,\n \"path\": \"/newsplot.py\",\n \"repo_name\": \"agammsantos/Final-Project-JCDS\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import pandas as pd\\nimport numpy as np\\nimport matplotlib.pyplot as plt\\nimport seaborn as sns\\n\\ndata=pd.read_json('News_Category_Dataset_v2.json',lines=True)\\nprint(data[data['headline'].isnull()==True])\\nprint(data[data['short_description'].isnull()==True])\\n# print(data.columns.values)\\n# print(data['category'].value_counts())\\n\\ndata.category = data.category.map(lambda x: \\\"ARTS & CULTURE\\\" if x == \\\"ARTS\\\" or x == \\\"CULTURE & ARTS\\\" else x)\\ndata.category = data.category.map(lambda x: \\\"WEIRD NEWS & COMEDY\\\" if x == \\\"COMEDY\\\" or x == \\\"WEIRD NEWS\\\" else x)\\ndata.category = data.category.map(lambda x: \\\"BUSINESS\\\" if x == \\\"MONEY\\\" else x)\\ndata.category = data.category.map(lambda x: \\\"EDUCATION\\\" if x == \\\"COLLEGE\\\" else x)\\ndata.category = data.category.map(lambda x: \\\"HOME & LIVING\\\" if x == \\\"HEALTHY LIVING\\\" or x == \\\"WELLNESS\\\" or x == \\\"FIFTY\\\" else x)\\ndata.category = data.category.map(lambda x: \\\"PARENTS\\\" if x == \\\"PARENTING\\\" else x)\\ndata.category = data.category.map(lambda x: \\\"IMPACT\\\" if x == \\\"GOOD NEWS\\\" else x)\\ndata.category = data.category.map(lambda x: \\\"ENVIRONMENT\\\" if x == \\\"GREEN\\\" else x)\\ndata.category = data.category.map(lambda x: \\\"STYLE & BEAUTY\\\" if x == \\\"STYLE\\\" else x)\\ndata.category = data.category.map(lambda x: \\\"FOOD & DRINK\\\" if x == \\\"TASTE\\\" else x)\\ndata.category = data.category.map(lambda x: \\\"SCIENCE & TECH\\\" if x == \\\"SCIENCE\\\" or x == \\\"TECH\\\" else x)\\ndata.category = data.category.map(lambda x: \\\"WORLD NEWS\\\" if x == \\\"THE WORLDPOST\\\" or x == \\\"WORLDPOST\\\" else x)\\n# print(data['features'][data['category']=='COMEDY'])\\n# print(data['features'][data['category']=='WEIRD NEWS'])\\n# data=data.drop(data[data['category']=='GOOD NEWS'].index.values)\\n# data=data.drop(data[data['category']=='IMPACT'].index.values)\\n\\ndata['features']=data['headline']+' '+data['short_description']\\ndata['features']=data['features'].apply(lambda x: x.lower())\\ndata['hwlen'] = data['headline'].apply(lambda x: x.split(' ')).apply(len)\\ndata['dwlen'] = data['short_description'].apply(lambda x: x.split(' ')).apply(len)\\ndata['fwlen'] = data['features'].apply(lambda x: x.split(' ')).apply(len)\\n# print(data['features'].head())\\n# print(data['fwlen'].max())\\n\\n\\ngrouped=data.groupby('category')\\nprint(grouped.ngroups)\\nprint(grouped.describe())\\n\\nplt.figure('Histogram 1',figsize=(25,25))\\nplt.suptitle('Histogram Jumlah Kata Headline Per Kategori',size=25)\\ni=1\\nfor group in grouped:\\n plt.subplot(5,5,i)\\n plt.title(group[0])\\n plt.hist(group[1]['hwlen'],bins='auto')\\n i+=1 \\nplt.subplots_adjust(hspace=.6,wspace=.4)\\nplt.savefig('./histogramh.png',format='png')\\n\\nplt.figure('Histogram 2',figsize=(25,25))\\nplt.suptitle('Histogram Jumlah Kata Deskripsi Per Kategori',size=25)\\ni=1\\nfor group in grouped:\\n plt.subplot(5,5,i)\\n plt.title(group[0])\\n plt.hist(group[1]['dwlen'],bins='auto')\\n i+=1 \\nplt.subplots_adjust(hspace=.6,wspace=.4)\\nplt.savefig('./histogramd.png',format='png')\\n\\nplt.figure('Histogram 3',figsize=(25,25))\\nplt.suptitle('Histogram Jumlah Kata Features Per Kategori',size=25)\\ni=1\\nfor group in grouped:\\n plt.subplot(5,5,i)\\n plt.title(group[0])\\n plt.hist(group[1]['fwlen'],bins='auto')\\n i+=1 \\nplt.subplots_adjust(hspace=.6,wspace=.4)\\nplt.savefig('./histogramf.png',format='png')\\n\\nplt.show()\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":4,"string":"4"}}},{"rowIdx":2980086,"cells":{"repo_name":{"kind":"string","value":"logs3/random_utf8"},"repo_url":{"kind":"string","value":"https://github.com/logs3/random_utf8"},"snapshot_id":{"kind":"string","value":"8bea68036a4bc08711a4e811aaee251ff827627e"},"revision_id":{"kind":"string","value":"86c1bf8c8868db74c14ada1018bdc7cefb00898e"},"directory_id":{"kind":"string","value":"1cb88d3980c7c1beb728bb8cf389f112a32ffd72"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2022-12-04T00:05:15.790749","string":"2022-12-04T00:05:15.790749"},"revision_date":{"kind":"timestamp","value":"2020-08-22T19:12:14","string":"2020-08-22T19:12:14"},"committer_date":{"kind":"timestamp","value":"2020-08-22T19:12:14","string":"2020-08-22T19:12:14"},"github_id":{"kind":"number","value":263857433,"string":"263,857,433"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.668639063835144,"alphanum_fraction":0.7100591659545898,"avg_line_length":32.79999923706055,"blob_id":"f7b8351862197bcbd16035cadad6e52fc14d6fe0","content_id":"78992f846adf681540fc5df0a79a9bce404edf5c","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":169,"license_type":"no_license","max_line_length":88,"num_lines":5,"path":"/chinese.py","repo_name":"logs3/random_utf8","src_encoding":"UTF-8","text":"import random\n\ndef random_chinese(length):\n random_unicodes = [chr(random.randrange(0x4E00, 0x9FBF)) for _ in range(0, length)] \n return u\"\".join(random_unicodes)\n"},{"alpha_fraction":0.6608186960220337,"alphanum_fraction":0.719298243522644,"avg_line_length":33.20000076293945,"blob_id":"2c07a0f96d349e756bb840e8c66bbf35c57662a5","content_id":"43c1ac828bd54d64fb8ea9ce6a76cb439c5fece4","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":171,"license_type":"no_license","max_line_length":89,"num_lines":5,"path":"/emoji/emoticon.py","repo_name":"logs3/random_utf8","src_encoding":"UTF-8","text":"import random\n\ndef random_emoticon(length):\n random_unicodes = [chr(random.randrange(0x1F601, 0x1F64F)) for _ in range(0, length)]\n return u\"\".join(random_unicodes)\n"},{"alpha_fraction":0.6627218723297119,"alphanum_fraction":0.7218934893608093,"avg_line_length":33,"blob_id":"d4dfcb82297bf36e7c2fcd19aa0ea94788dbfd52","content_id":"a3e45c9197acc60afd99fff1c52b69653ec7f77f","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":169,"license_type":"no_license","max_line_length":89,"num_lines":5,"path":"/emoji/symbols.py","repo_name":"logs3/random_utf8","src_encoding":"UTF-8","text":"import random\n\ndef random_symbols(length):\n random_unicodes = [chr(random.randrange(0x1F680, 0x1F6C0)) for _ in range(0, length)]\n return u\"\".join(random_unicodes)"},{"alpha_fraction":0.6566265225410461,"alphanum_fraction":0.7108433842658997,"avg_line_length":32.20000076293945,"blob_id":"dafeaaab1d839c86416f10607e9f9d57c820cad9","content_id":"4c8aabedf4dedb80ffd8398e94536953d4f898ea","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":166,"license_type":"no_license","max_line_length":87,"num_lines":5,"path":"/error.py","repo_name":"logs3/random_utf8","src_encoding":"UTF-8","text":"import random\n\ndef random_error(length):\n random_unicodes = [chr(random.randrange(0x1041, 0x10aa)) for _ in range(0, length)]\n return u\"\".join(random_unicodes)\n"},{"alpha_fraction":0.6607142686843872,"alphanum_fraction":0.7202380895614624,"avg_line_length":32.79999923706055,"blob_id":"f75bb4146cb4477b982463f82ac9dd7b695efc40","content_id":"d830249e58d165d6d7a315f96fbe95d2d4a64163","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":168,"license_type":"no_license","max_line_length":87,"num_lines":5,"path":"/emoji/dingbats.py","repo_name":"logs3/random_utf8","src_encoding":"UTF-8","text":"import random\n\ndef random_dingbats(length):\n random_unicodes = [chr(random.randrange(0x2702, 0x27B0)) for _ in range(0, length)]\n return u\"\".join(random_unicodes)"},{"alpha_fraction":0.6666666865348816,"alphanum_fraction":0.7251461744308472,"avg_line_length":33.400001525878906,"blob_id":"887641f620d3fcaf07fb16a02d1b8c074c068427","content_id":"75ece9c578d188dcc6e71bde46c6b48f3e0940fb","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":171,"license_type":"no_license","max_line_length":88,"num_lines":5,"path":"/emoji/characters.py","repo_name":"logs3/random_utf8","src_encoding":"UTF-8","text":"import random\n\ndef random_characters(length):\n random_unicodes = [chr(random.randrange(0x24C2, 0x1F251)) for _ in range(0, length)]\n return u\"\".join(random_unicodes)"}],"string":"[\n {\n \"alpha_fraction\": 0.668639063835144,\n \"alphanum_fraction\": 0.7100591659545898,\n \"avg_line_length\": 32.79999923706055,\n \"blob_id\": \"f7b8351862197bcbd16035cadad6e52fc14d6fe0\",\n \"content_id\": \"78992f846adf681540fc5df0a79a9bce404edf5c\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 169,\n \"license_type\": \"no_license\",\n \"max_line_length\": 88,\n \"num_lines\": 5,\n \"path\": \"/chinese.py\",\n \"repo_name\": \"logs3/random_utf8\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import random\\n\\ndef random_chinese(length):\\n random_unicodes = [chr(random.randrange(0x4E00, 0x9FBF)) for _ in range(0, length)] \\n return u\\\"\\\".join(random_unicodes)\\n\"\n },\n {\n \"alpha_fraction\": 0.6608186960220337,\n \"alphanum_fraction\": 0.719298243522644,\n \"avg_line_length\": 33.20000076293945,\n \"blob_id\": \"2c07a0f96d349e756bb840e8c66bbf35c57662a5\",\n \"content_id\": \"43c1ac828bd54d64fb8ea9ce6a76cb439c5fece4\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 171,\n \"license_type\": \"no_license\",\n \"max_line_length\": 89,\n \"num_lines\": 5,\n \"path\": \"/emoji/emoticon.py\",\n \"repo_name\": \"logs3/random_utf8\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import random\\n\\ndef random_emoticon(length):\\n random_unicodes = [chr(random.randrange(0x1F601, 0x1F64F)) for _ in range(0, length)]\\n return u\\\"\\\".join(random_unicodes)\\n\"\n },\n {\n \"alpha_fraction\": 0.6627218723297119,\n \"alphanum_fraction\": 0.7218934893608093,\n \"avg_line_length\": 33,\n \"blob_id\": \"d4dfcb82297bf36e7c2fcd19aa0ea94788dbfd52\",\n \"content_id\": \"a3e45c9197acc60afd99fff1c52b69653ec7f77f\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 169,\n \"license_type\": \"no_license\",\n \"max_line_length\": 89,\n \"num_lines\": 5,\n \"path\": \"/emoji/symbols.py\",\n \"repo_name\": \"logs3/random_utf8\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import random\\n\\ndef random_symbols(length):\\n random_unicodes = [chr(random.randrange(0x1F680, 0x1F6C0)) for _ in range(0, length)]\\n return u\\\"\\\".join(random_unicodes)\"\n },\n {\n \"alpha_fraction\": 0.6566265225410461,\n \"alphanum_fraction\": 0.7108433842658997,\n \"avg_line_length\": 32.20000076293945,\n \"blob_id\": \"dafeaaab1d839c86416f10607e9f9d57c820cad9\",\n \"content_id\": \"4c8aabedf4dedb80ffd8398e94536953d4f898ea\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 166,\n \"license_type\": \"no_license\",\n \"max_line_length\": 87,\n \"num_lines\": 5,\n \"path\": \"/error.py\",\n \"repo_name\": \"logs3/random_utf8\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import random\\n\\ndef random_error(length):\\n random_unicodes = [chr(random.randrange(0x1041, 0x10aa)) for _ in range(0, length)]\\n return u\\\"\\\".join(random_unicodes)\\n\"\n },\n {\n \"alpha_fraction\": 0.6607142686843872,\n \"alphanum_fraction\": 0.7202380895614624,\n \"avg_line_length\": 32.79999923706055,\n \"blob_id\": \"f75bb4146cb4477b982463f82ac9dd7b695efc40\",\n \"content_id\": \"d830249e58d165d6d7a315f96fbe95d2d4a64163\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 168,\n \"license_type\": \"no_license\",\n \"max_line_length\": 87,\n \"num_lines\": 5,\n \"path\": \"/emoji/dingbats.py\",\n \"repo_name\": \"logs3/random_utf8\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import random\\n\\ndef random_dingbats(length):\\n random_unicodes = [chr(random.randrange(0x2702, 0x27B0)) for _ in range(0, length)]\\n return u\\\"\\\".join(random_unicodes)\"\n },\n {\n \"alpha_fraction\": 0.6666666865348816,\n \"alphanum_fraction\": 0.7251461744308472,\n \"avg_line_length\": 33.400001525878906,\n \"blob_id\": \"887641f620d3fcaf07fb16a02d1b8c074c068427\",\n \"content_id\": \"75ece9c578d188dcc6e71bde46c6b48f3e0940fb\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 171,\n \"license_type\": \"no_license\",\n \"max_line_length\": 88,\n \"num_lines\": 5,\n \"path\": \"/emoji/characters.py\",\n \"repo_name\": \"logs3/random_utf8\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import random\\n\\ndef random_characters(length):\\n random_unicodes = [chr(random.randrange(0x24C2, 0x1F251)) for _ in range(0, length)]\\n return u\\\"\\\".join(random_unicodes)\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":6,"string":"6"}}},{"rowIdx":2980087,"cells":{"repo_name":{"kind":"string","value":"martinkioko/machine-learning"},"repo_url":{"kind":"string","value":"https://github.com/martinkioko/machine-learning"},"snapshot_id":{"kind":"string","value":"3733e164f96eae676d84b44644c09c87e9501897"},"revision_id":{"kind":"string","value":"076c2e3749f9aeea024e3e992dc8322379aec253"},"directory_id":{"kind":"string","value":"1761155778bd82b97390b119a64c5a23957e2b24"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2020-12-15T14:28:46.306599","string":"2020-12-15T14:28:46.306599"},"revision_date":{"kind":"timestamp","value":"2020-01-20T15:47:13","string":"2020-01-20T15:47:13"},"committer_date":{"kind":"timestamp","value":"2020-01-20T15:47:13","string":"2020-01-20T15:47:13"},"github_id":{"kind":"number","value":235135650,"string":"235,135,650"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.7121211886405945,"alphanum_fraction":0.7257575988769531,"avg_line_length":13.461538314819336,"blob_id":"5be55795ecc3e0cadab35d5c26deb3a0f989f25f","content_id":"015d11a4f1bcc4ba0b7cb87372b29287a38a59f2","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1320,"license_type":"no_license","max_line_length":84,"num_lines":91,"path":"/ml steps.py","repo_name":"martinkioko/machine-learning","src_encoding":"UTF-8","text":"#!/usr/bin/env python\n# coding: utf-8\n\n# In[1]:\n\n\nimport pandas as pd \nfrom pandas.plotting import scatter_matrix\nimport matplotlib.pyplot as plt\nfrom sklearn import model_selection\nfrom sklearn.metrics import classification_report\nfrom sklearn.metrics import confusion_matrix\nfrom sklearn.metrics import accuracy_score\nfrom sklearn.linear_model import LogisticRegression\nfrom sklearn.tree import DecisionTreeClassifier\nfrom sklearn.neighbors import KNeighborsClassifier\nfrom sklearn.discriminant_analysis import LinearDiscriminantAnalysis\nfrom sklearn.naive_bayes import GaussianNB\nfrom sklearn.svm import SVC\n\n\n# In[2]:\n\n\nurl = \"https://raw.githubusercontent.com/jbrownlee/Datasets/master/iris.csv\"\nnames = ['sepal-length', 'sepal-width', 'petal-length', 'petal-width', 'class']\ndataset = pd.read_csv(url, names=names)\n\n\n# In[3]:\n\n\ndataset.describe()\n\n\n# In[4]:\n\n\ndataset.groupby('class').size()\n\n\n# In[5]:\n\n\nurl = \"https://raw.githubusercontent.com/jbrownlee/Datasets/master/iris.csv\"\n\n\n# In[6]:\n\n\ndataset.head()\n\n\n# In[7]:\n\n\ndataset.shape\n\n\n# In[8]:\n\n\ndataset.describe()\n\n\n# In[9]:\n\n\ndataset.info()\n\n\n# In[10]:\n\n\ndataset.groupby('class').size()\n\n\n# In[12]:\n\n\ndataset['class'].value_counts()\n\n\n# In[15]:\n\n\ndataset.plot(kind='box') #, subplots=True, layout=(2,2), sharex=False, sharey=False\nplt.show()\n\n\n# In[ ]:\n\n\n\n\n"},{"alpha_fraction":0.8571428656578064,"alphanum_fraction":0.8571428656578064,"avg_line_length":41,"blob_id":"bf13604f23857050a4438189fbbadaa05fef3064","content_id":"3255ade79e7d084919de3028b91450f1b38b60a1","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":42,"license_type":"no_license","max_line_length":41,"num_lines":1,"path":"/README.md","repo_name":"martinkioko/machine-learning","src_encoding":"UTF-8","text":"# supervised machine-learning predictions\n"}],"string":"[\n {\n \"alpha_fraction\": 0.7121211886405945,\n \"alphanum_fraction\": 0.7257575988769531,\n \"avg_line_length\": 13.461538314819336,\n \"blob_id\": \"5be55795ecc3e0cadab35d5c26deb3a0f989f25f\",\n \"content_id\": \"015d11a4f1bcc4ba0b7cb87372b29287a38a59f2\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1320,\n \"license_type\": \"no_license\",\n \"max_line_length\": 84,\n \"num_lines\": 91,\n \"path\": \"/ml steps.py\",\n \"repo_name\": \"martinkioko/machine-learning\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#!/usr/bin/env python\\n# coding: utf-8\\n\\n# In[1]:\\n\\n\\nimport pandas as pd \\nfrom pandas.plotting import scatter_matrix\\nimport matplotlib.pyplot as plt\\nfrom sklearn import model_selection\\nfrom sklearn.metrics import classification_report\\nfrom sklearn.metrics import confusion_matrix\\nfrom sklearn.metrics import accuracy_score\\nfrom sklearn.linear_model import LogisticRegression\\nfrom sklearn.tree import DecisionTreeClassifier\\nfrom sklearn.neighbors import KNeighborsClassifier\\nfrom sklearn.discriminant_analysis import LinearDiscriminantAnalysis\\nfrom sklearn.naive_bayes import GaussianNB\\nfrom sklearn.svm import SVC\\n\\n\\n# In[2]:\\n\\n\\nurl = \\\"https://raw.githubusercontent.com/jbrownlee/Datasets/master/iris.csv\\\"\\nnames = ['sepal-length', 'sepal-width', 'petal-length', 'petal-width', 'class']\\ndataset = pd.read_csv(url, names=names)\\n\\n\\n# In[3]:\\n\\n\\ndataset.describe()\\n\\n\\n# In[4]:\\n\\n\\ndataset.groupby('class').size()\\n\\n\\n# In[5]:\\n\\n\\nurl = \\\"https://raw.githubusercontent.com/jbrownlee/Datasets/master/iris.csv\\\"\\n\\n\\n# In[6]:\\n\\n\\ndataset.head()\\n\\n\\n# In[7]:\\n\\n\\ndataset.shape\\n\\n\\n# In[8]:\\n\\n\\ndataset.describe()\\n\\n\\n# In[9]:\\n\\n\\ndataset.info()\\n\\n\\n# In[10]:\\n\\n\\ndataset.groupby('class').size()\\n\\n\\n# In[12]:\\n\\n\\ndataset['class'].value_counts()\\n\\n\\n# In[15]:\\n\\n\\ndataset.plot(kind='box') #, subplots=True, layout=(2,2), sharex=False, sharey=False\\nplt.show()\\n\\n\\n# In[ ]:\\n\\n\\n\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.8571428656578064,\n \"alphanum_fraction\": 0.8571428656578064,\n \"avg_line_length\": 41,\n \"blob_id\": \"bf13604f23857050a4438189fbbadaa05fef3064\",\n \"content_id\": \"3255ade79e7d084919de3028b91450f1b38b60a1\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 42,\n \"license_type\": \"no_license\",\n \"max_line_length\": 41,\n \"num_lines\": 1,\n \"path\": \"/README.md\",\n \"repo_name\": \"martinkioko/machine-learning\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# supervised machine-learning predictions\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":2,"string":"2"}}},{"rowIdx":2980088,"cells":{"repo_name":{"kind":"string","value":"alka2/mars-rover"},"repo_url":{"kind":"string","value":"https://github.com/alka2/mars-rover"},"snapshot_id":{"kind":"string","value":"6863bd0006b71b646118897651f30d025e16da17"},"revision_id":{"kind":"string","value":"763bf03e9fa80b0d0625fa2a1f1d02ab2bcf0ff1"},"directory_id":{"kind":"string","value":"edbe875f0902d99ad3a7379be77f4cbdf61122fc"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2022-04-13T09:34:29.050182","string":"2022-04-13T09:34:29.050182"},"revision_date":{"kind":"timestamp","value":"2020-04-15T04:32:35","string":"2020-04-15T04:32:35"},"committer_date":{"kind":"timestamp","value":"2020-04-15T04:32:35","string":"2020-04-15T04:32:35"},"github_id":{"kind":"number","value":255803217,"string":"255,803,217"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.7335995435714722,"alphanum_fraction":0.7424415349960327,"avg_line_length":49.08571243286133,"blob_id":"af76f103639a6d7a699f2449e2efbe808eaad609","content_id":"d9a75b4c084009e4016755212d9936e542835848","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":3506,"license_type":"no_license","max_line_length":578,"num_lines":70,"path":"/README.md","repo_name":"alka2/mars-rover","src_encoding":"UTF-8","text":"## Mars Rover\n\nA squad of robotic rovers are to be landed by NASA on a plateau on Mars.\n\nThis plateau, which is curiously rectangular, must be navigated by the rovers so that their on board cameras can get a complete view of the surrounding terrain to send back to Earth.\n\nA rover's position is represented by a combination of an x and y co-ordinates and a letter representing one of the four cardinal compass points. The plateau is divided up into a grid to simplify navigation. An example position might be 0, 0, N, which means the rover is in the bottom left corner and facing North.\n\nIn order to control a rover, NASA sends a simple string of letters. The possible letters are 'L', 'R' and 'M'. 'L' and 'R' makes the rover spin 90 degrees left or right respectively, without moving from its current spot.\n\n'M' means move forward one grid point, and maintain the same heading.\n\nAssume that the square directly North from (x, y) is (x, y+1).\n\nInput:\n\nConfiguration Input: The first line of input is the upper-right coordinates of the plateau, the lower-left coordinates are assumed to be 0,0.\n\nPer Rover Input:\n\nInput 1: Landing co-ordinates for the named Rover. The position is made up of two integers and a letter separated by spaces, corresponding to the x and y co-ordinates and the rover's orientation.\n\nInput 2: Navigation instructions for the named rover. i.e a string containing ('L', 'R', 'M').\n\n### How to run the app\nTo run the application you need to have **Python3.7+**.\n\n#### Test input from command line:\n```\n$ python mars_rover.py \"Plateau:5 5\nRover1 Landing:1 2 N\nRover1 Instructions:LMLMLMLMM\nRover2 Landing:3 3 E\nRover2 Instructions:MMRMMRMRRM\"\n```\n\n#### Test input from a file:\n```\n$ python mars_rover.py input.txt\n```\n\n#### Expected Output:\n```\nRover1:1 3 N\nRover2:5 1 E\n```\n\n#### Unit Test:\n```\n$ python mars_rover_unittest.py\n```\n### Assumptions:\n\n- ``Rovers`` can land in the same grid as they can have different instructions.\n- One Rover can move at a time and finishes its instructions and then next Rover starts its instructions.\n- Collision is acceptable which means if Rover1 is in 1,3 grid, Rover2 can come to the same grid or pass the grid.\n\n### Other possible scenarios:\n\n- ``Rovers`` cannot land in the same grid.\n- ``Rovers`` can move at the same time.\n- Each ``Rover`` moves once at a time and then the next Rover moves.\n- Apply one instruction at a time for each Rover (then apply one instruction for the next Rover).\n- If a ``Rover`` cannot end at a grid that already have a ``Rover`` in it.\n \n#### Changes that are needed for the above scenarios:\n\n- If collision is **acceptable**, there won't be any changes in the main ``Rover`` class functions however ``apply_instructions`` function needs to be updated in order to apply instruction in the desired format.\n- If collision is **NOT acceptable**, there needs to be a change in ``Rover`` class especially ``move`` function to prevent collision and add check for each move to avoid collision (if we do have simultaneous move, each move needs to be checked to make sure that there is no collision) or in some scenarios a Rover can be blocked completely if there is already another Rover in a grid that the other Rover wants to move (like if ``Rover`` cannot end at the same grid, the last ``move`` needs to be checked). Also there needs to be a change in ``apply_instructions`` like above. \n- If ``Rovers`` cannot land at the same spot, then there needs to be a check in ``set_landing`` method in the ``Rover`` class.\n"},{"alpha_fraction":0.5969141721725464,"alphanum_fraction":0.6239151358604431,"avg_line_length":41.90345001220703,"blob_id":"48f9f7547948bd23e38b79c93d036f0b3956af73","content_id":"c80354fd7b35832220430310e4e8b8d38818c09f","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":6222,"license_type":"no_license","max_line_length":85,"num_lines":145,"path":"/mars_rover_unittest.py","repo_name":"alka2/mars-rover","src_encoding":"UTF-8","text":"\nimport unittest\n\nimport mars_rover\n\n\nclass TestPlateau(unittest.TestCase):\n\n def setUp(self):\n self.plateau = mars_rover.Plateau()\n\n def test_invalid_get_coordinates(self):\n self.plateau.set_upper_coordinates('7 7')\n self.assertNotEqual(self.plateau.get_coordinates(), [0, 0, 5, 5])\n\n def test_coordinates_input_not_equal_to_two(self):\n self.assertRaises(ValueError, self.plateau.set_upper_coordinates, '5 5 3')\n\n def test_coordinates_less_than_zero(self):\n self.assertRaises(ValueError, self.plateau.set_upper_coordinates, '-1 -1')\n\n def test_coordinates_not_integer(self):\n self.assertRaises(ValueError, self.plateau.set_upper_coordinates, 'S a')\n\n def test_valid_coordinates(self):\n self.plateau.set_upper_coordinates('6 6')\n self.assertEqual(self.plateau.get_coordinates(), [0, 0, 6, 6])\n\n def test_invalid_coordinates(self):\n self.assertRaises(ValueError, self.plateau.set_upper_coordinates, '-1 -1')\n\n\nclass TestRover(unittest.TestCase):\n\n def setUp(self):\n self.rover = mars_rover.Rover()\n self.rover.set_plateau_coordinates([0, 0, 5, 5])\n\n def test_valid_landing(self):\n self.rover.set_landing('1 2 N')\n self.assertEqual(self.rover.get_landing(), [1, 2, 'N'])\n\n def test_invalid_landing_from_file(self):\n self.assertRaises(ValueError, self.rover.set_landing, '5 5')\n\n def test_landing_input_not_equal_to_three(self):\n self.assertRaises(ValueError, self.rover.set_landing, '1 N')\n\n def test_landing_coordinates_not_integer(self):\n self.assertRaises(ValueError, self.rover.set_landing, '1 W N')\n\n def test_landing_not_valid_orientation(self):\n self.assertRaises(ValueError, self.rover.set_landing, '1 2 Q')\n\n def test_landing_x_coordinates_out_of_plateau(self):\n self.assertRaises(ValueError, self.rover.set_landing, '6 2 N')\n\n def test_landing_y_coordinates_out_of_plateau(self):\n self.assertRaises(ValueError, self.rover.set_landing, '1 6 N')\n\n def test_valid_instruction(self):\n self.rover.set_instructions('LMLMLMLMM')\n self.assertEqual(self.rover.get_instruction(), 'LMLMLMLMM')\n\n def test_invalid_instruction_control(self):\n self.assertRaises(ValueError, self.rover.set_instructions, 'LMLMLMLMQ')\n\n def test_valid_navigation(self):\n self.assertEqual(self.rover._new_orientation('N', 'L'), 'W')\n self.assertEqual(self.rover._new_orientation('N', 'R'), 'E')\n self.assertEqual(self.rover._new_orientation('W', 'L'), 'S')\n self.assertEqual(self.rover._new_orientation('W', 'R'), 'N')\n self.assertEqual(self.rover._new_orientation('S', 'L'), 'E')\n self.assertEqual(self.rover._new_orientation('S', 'R'), 'W')\n self.assertEqual(self.rover._new_orientation('E', 'L'), 'N')\n self.assertEqual(self.rover._new_orientation('E', 'R'), 'S')\n\n def test_invalid_navigation(self):\n self.assertNotEqual(self.rover._new_orientation('N', 'L'), 'N')\n self.assertNotEqual(self.rover._new_orientation('N', 'R'), 'S')\n self.assertNotEqual(self.rover._new_orientation('W', 'L'), 'W')\n self.assertNotEqual(self.rover._new_orientation('W', 'R'), 'E')\n self.assertNotEqual(self.rover._new_orientation('S', 'L'), 'N')\n self.assertNotEqual(self.rover._new_orientation('S', 'R'), 'S')\n self.assertNotEqual(self.rover._new_orientation('E', 'L'), 'W')\n self.assertNotEqual(self.rover._new_orientation('E', 'R'), 'E')\n\n def test_navigation_return_type(self):\n self.assertIsInstance(self.rover._new_orientation('N', 'L'), str)\n\n def test_valid_move(self):\n self.assertEqual(self.rover._move('N', 1, 2), (1, 3))\n self.assertEqual(self.rover._move('N', 1, 5), (1, 5))\n self.assertEqual(self.rover._move('S', 1, 2), (1, 1))\n self.assertEqual(self.rover._move('S', 1, 0), (1, 0))\n self.assertEqual(self.rover._move('E', 1, 2), (2, 2))\n self.assertEqual(self.rover._move('E', 5, 1), (5, 1))\n self.assertEqual(self.rover._move('W', 1, 2), (0, 2))\n self.assertEqual(self.rover._move('W', 0, 2), (0, 2))\n\n def test_invalid_move(self):\n self.assertNotEqual(self.rover._move('N', 1, 2), (1, 2))\n self.assertNotEqual(self.rover._move('N', 1, 5), (1, 6))\n self.assertNotEqual(self.rover._move('S', 1, 2), (1, 2))\n self.assertNotEqual(self.rover._move('S', 1, 0), (1, 1))\n self.assertNotEqual(self.rover._move('E', 1, 2), (1, 2))\n self.assertNotEqual(self.rover._move('E', 5, 1), (4, 1))\n self.assertNotEqual(self.rover._move('W', 1, 2), (1, 2))\n self.assertNotEqual(self.rover._move('W', 0, 2), (1, 2))\n\n def test_apply_instruction(self):\n self.rover.set_landing('1 2 N')\n self.rover.set_instructions('LMLMLMLMM')\n self.assertEqual(self.rover.apply_instructions(), (1, 3, 'N'))\n\n\nclass MarsRover(unittest.TestCase):\n\n def test_valid_result_from_problem(self):\n input_data = ['MMRMMRMRRM', '3 3 E', 'LMLMLMLMM', '1 2 N', '5 5']\n expected_output = ['Rover1:1 3 N', 'Rover2:5 1 E']\n self.assertEqual(mars_rover.run_mars_rover(input_data), expected_output)\n\n def test_invalid_result(self):\n input_data = ['MMRMMRMRRM', '3 3 E', 'LMLMLMLMM', '1 2 N', '5 5']\n unexpected_output = ['Rover1:1 2 N', 'Rover2:5 0 E']\n self.assertNotEqual(mars_rover.run_mars_rover(input_data), unexpected_output)\n\n def test_valid_case_1(self):\n input_data = ['M', '3 3 E', 'L', '1 2 N', '5 5']\n expected_output = ['Rover1:1 2 W', 'Rover2:4 3 E']\n self.assertEqual(mars_rover.run_mars_rover(input_data), expected_output)\n\n def test_valid_case_2(self):\n input_data = ['MR', '3 3 E', 'LM', '1 2 N', '5 5']\n expected_output = ['Rover1:0 2 W', 'Rover2:4 3 S']\n self.assertEqual(mars_rover.run_mars_rover(input_data), expected_output)\n\n def test_valid_case_3(self):\n input_data = ['LR', '3 3 N', 'RL', '1 2 S', '5 5']\n expected_output = ['Rover1:1 2 S', 'Rover2:3 3 N']\n self.assertEqual(mars_rover.run_mars_rover(input_data), expected_output)\n\n\nif __name__ == '__main__':\n unittest.main()\n"},{"alpha_fraction":0.616111695766449,"alphanum_fraction":0.6207075715065002,"avg_line_length":43.011451721191406,"blob_id":"656e075317d1fb589ce9eda148349c8bbbc0a25c","content_id":"e165f53188bf12ab0546eced1cab12716f21870d","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":11532,"license_type":"no_license","max_line_length":120,"num_lines":262,"path":"/mars_rover.py","repo_name":"alka2/mars-rover","src_encoding":"UTF-8","text":"\nimport sys\nimport os\n\n\nclass Plateau:\n \"\"\"\n class to set the Plateau object coordinates\n \"\"\"\n def __init__(self):\n \"\"\"\n initialize variables\n \"\"\"\n self.__bottom_left_x = 0\n self.__bottom_left_y = 0\n self.__upper_right_x = None\n self.__upper_right_y = None\n\n def set_upper_coordinates(self, upper_coordinates):\n \"\"\"\n function to set Plateau upper right coordinates\n :param upper_coordinates: Plateau coordinates from input\n \"\"\"\n try:\n upper_coordinates = upper_coordinates.strip().split(' ')\n\n # check to make sure user entered only x and y coordinates\n if len(upper_coordinates) != 2:\n raise ValueError\n self.__upper_right_x = int(upper_coordinates[0])\n self.__upper_right_y = int(upper_coordinates[1])\n\n # check upper right coordinates to make sure we have a proper Plateau\n if self.__upper_right_x < 0 or self.__upper_right_y < 0:\n raise ValueError\n\n except ValueError: # catch exception if user didn't enter integers for coordinates and only two\n raise ValueError('You must enter x and y for Plateau upper-right coordinates e.g. 5 5. Please try again!\\n')\n\n def get_coordinates(self) -> list:\n \"\"\"\n function to return Plateau coordinates to be used in Rover object\n :return: array of Plateau coordinates -> [bottom left x, bottom left y, upper right x, upper right y]\n \"\"\"\n return [self.__bottom_left_x, self.__bottom_left_y, self.__upper_right_x, self.__upper_right_y]\n\n\nclass Rover:\n \"\"\"\n class to set Rover object -> landing, instructions and apply instructions to the Rover on the Plateau\n \"\"\"\n def __init__(self):\n \"\"\"\n initialize variables\n \"\"\"\n self.__orientations = ['N', 'E', 'S', 'W'] # allowed orientation\n self.__controls = ['L', 'R', 'M'] # allowed instructions\n self.__plateau_bottom_left_x = None\n self.__plateau_bottom_left_y = None\n self.__plateau_upper_right_x = None\n self.__plateau_upper_right_y = None\n self.__rover_x = None\n self.__rover_y = None\n self.__rover_orientation = None\n self.__rover_instruction = None\n\n def set_plateau_coordinates(self, coordinates):\n \"\"\"\n function to set Plateau coordinates to Rover object\n :param coordinates: coordinates from Plateau objects\n \"\"\"\n self.__plateau_bottom_left_x = coordinates[0]\n self.__plateau_bottom_left_y = coordinates[1]\n self.__plateau_upper_right_x = coordinates[2]\n self.__plateau_upper_right_y = coordinates[3]\n\n def set_landing(self, landing):\n \"\"\"\n function to set the Rover landing coordinates and its orientation\n :param landing: Rover landing coordinates and orientation from input\n \"\"\"\n try:\n landing = landing.strip().split(' ')\n\n # check to make sure user entered x and y coordinates and also orientation\n if len(landing) != 3:\n raise ValueError\n\n self.__rover_x = int(landing[0])\n self.__rover_y = int(landing[1])\n self.__rover_orientation = landing[2].upper()\n\n # check the orientation to see if it is a allowed orientation\n if self.__rover_orientation not in self.__orientations:\n raise ValueError\n\n # check the Rover landing x coordinates to see if it falls into the Plateau x coordinates\n if not self.__plateau_bottom_left_x <= self.__rover_x <= self.__plateau_upper_right_x:\n raise ValueError\n\n # check the Rover landing y coordinates to see if it falls into the Plateau y coordinates\n if not self.__plateau_bottom_left_y <= self.__rover_y <= self.__plateau_upper_right_y:\n raise ValueError\n except ValueError: # capture exception if user didn't enter right information for landing\n raise ValueError(\n 'You must enter Rover landing coordinates and orientation. coordinates must fall into Plateau ' +\n 'coordinates and orientation can be [\"N\", \"E\", \"S\", \"W\"]. N= North, E=East, S=South, W=West. ' +\n 'e.g. 1 2 N for Plateau (5,5) and North facing. Please try again!\\n'\n )\n\n def get_landing(self) -> list:\n \"\"\"\n function to get the Rover landing information\n :return: array of landing info -> [rover x coordinate, rover y coordinate, rover orientation]\n \"\"\"\n return [self.__rover_x, self.__rover_y, self.__rover_orientation]\n\n def set_instructions(self, instruction):\n \"\"\"\n function to set the instructions that needs to be applied to the Rover\n :param instruction: Rover instruction from input\n \"\"\"\n try:\n self.__rover_instruction = instruction.strip().upper()\n\n # check instructions to make sure they are valid instructions\n for instruction in self.__rover_instruction:\n if instruction not in self.__controls:\n raise ValueError\n except ValueError: # capture exception if user didn't enter right information for the instruction\n raise ValueError(\n 'Navigation instructions can be in [\"L\", \"R\", \"M\"] e.g. LMLMLMLMRRM. ' +\n 'L=Left, R=Right, M=Move. Please try again!\\n'\n )\n\n def get_instruction(self) -> str:\n \"\"\"\n function to return navigation instruction\n :return: navigation instruction string\n \"\"\"\n return self.__rover_instruction\n\n def _new_orientation(self, current_orientation, navigate_to) -> str:\n \"\"\"\n function to find the new orientation after 90 degrees left or right spin\n :param current_orientation: current orientation of the Rover\n :param navigate_to: spin 90 to left or right\n :return: desired orientation of the Rover\n \"\"\"\n # spin 90 degrees to left\n if navigate_to == 'L':\n # used mod to return to end of the orientation array after the pointer reached to head\n return self.__orientations[(self.__orientations.index(current_orientation) - 1) % 4]\n # spin 90 degrees to right\n else:\n # used mod to return to head of the orientation array after the pointer reached to end\n return self.__orientations[(self.__orientations.index(current_orientation) + 1) % 4]\n\n def _move(self, orientation, x, y) -> tuple:\n \"\"\"\n function to move Rover to desired location\n :param orientation: current facing of the Rover\n :param x: current x coordinate of the Rover\n :param y: current y coordinate of the Rover\n :return: new x and y coordinates or no change if hit the Plateau boundaries\n \"\"\"\n # if the Rover is facing North and it didn't hit the Plateau upper right y coordinate\n if orientation == 'N' and y < self.__plateau_upper_right_y:\n return x, y + 1\n # if the Rover is facing South and it didn't hit the Plateau bottom left y coordinate\n elif orientation == 'S' and y > self.__plateau_bottom_left_y:\n return x, y - 1\n # if the Rover is facing East and it didn't hit the Plateau upper right x coordinate\n elif orientation == 'E' and x < self.__plateau_upper_right_x:\n return x + 1, y\n # if the Rover is facing West and Rover didn't hit the Plateau bottom left x coordinate\n elif orientation == 'W' and x > self.__plateau_bottom_left_x:\n return x - 1, y\n return x, y\n\n def apply_instructions(self) -> tuple:\n \"\"\"\n apply instruction to the Rover\n :return: the Rover final x and y and also its orientation -> x coordinate, y coordinate, orientation\n \"\"\"\n for instruction in self.__rover_instruction:\n if instruction == 'M':\n self.__rover_x, self.__rover_y = self._move(self.__rover_orientation, self.__rover_x, self.__rover_y)\n else:\n self.__rover_orientation = self._new_orientation(self.__rover_orientation, instruction)\n return self.__rover_x, self.__rover_y, self.__rover_orientation\n\n\ndef get_input() -> list:\n \"\"\"\n function to get input data either from command line or file\n :return: array of input data\n \"\"\"\n if len(sys.argv) != 2:\n raise ValueError('Missing input data. To run: python mars_rover.py <arg1>. arg1 is a file or input data')\n\n # read the Plateau and Rover data from file if file exists otherwise read the input from command line\n if os.path.isfile(sys.argv[1]):\n with open(sys.argv[1], 'r') as input_file:\n plateau_rover_data = [line.strip().split(':')[1] for line in input_file.readlines() if line.strip()]\n else:\n plateau_rover_data = [line.strip().split(':')[1] for line in sys.argv[1].split('\\n') if line.strip()]\n\n # reverse the plateau_rover_data array to be able to use pop() function\n plateau_rover_data.reverse()\n\n return plateau_rover_data\n\n\ndef run_mars_rover(plateau_rover_data):\n \"\"\"\n function to read rovers' data and apply the instruction\n assumptions:\n - one Rover can move at a time and finishes its instructions and then next Rover starts its instructions.\n - collision is acceptable which means if Rover1 is in 1,3 grid, Rover2 can come to the same grid or pass\n the grid.\n possible scenarios that we can change the above behavior:\n - Rovers can move at the same time.\n - each Rover moves once at a time and then the next Rover moves\n - apply one instruction at a time for a Rover then apply one instruction for the next Rover\n possible changes for above scenarios\n - If collision is acceptable, there won't be any changes in the main Rover class functions however\n ``apply_instructions`` function needs to be updated in order to apply instruction in the desired format.\n - If collision is NOT acceptable, there needs to be a change in Rover class especially ``move`` function\n to prevent collision or in some scenarios a Rover can be blocked completely if there is already another\n Rover in a grid that the other Rover wants to surfs. Also there needs to be a change in\n ``apply_instructions`` like above.\n\n :param plateau_rover_data: input data\n \"\"\"\n\n results = []\n\n # set Plateau coordinates - get the first element from plateau_rover_data which is plateau coordinates\n plateau = Plateau()\n plateau.set_upper_coordinates(plateau_rover_data.pop())\n plateau_coordinates = plateau.get_coordinates()\n\n # for loop to run for each Rover. For each Rover, there is two lines of input hence divide by 2\n for i in range(0, int(len(plateau_rover_data) / 2)):\n rover = Rover()\n rover.set_plateau_coordinates(plateau_coordinates)\n rover.set_landing(plateau_rover_data.pop())\n rover.set_instructions(plateau_rover_data.pop())\n rover_x, rover_y, rover_orientation = rover.apply_instructions()\n results.append(\n 'Rover{i}:{x} {y} {orientation}'.format(i=i + 1, x=rover_x, y=rover_y, orientation=rover_orientation)\n )\n return results\n\n\nif __name__ == '__main__':\n\n try:\n res = run_mars_rover(get_input())\n print(*res, sep=\"\\n\")\n except Exception as e:\n raise\n"}],"string":"[\n {\n \"alpha_fraction\": 0.7335995435714722,\n \"alphanum_fraction\": 0.7424415349960327,\n \"avg_line_length\": 49.08571243286133,\n \"blob_id\": \"af76f103639a6d7a699f2449e2efbe808eaad609\",\n \"content_id\": \"d9a75b4c084009e4016755212d9936e542835848\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 3506,\n \"license_type\": \"no_license\",\n \"max_line_length\": 578,\n \"num_lines\": 70,\n \"path\": \"/README.md\",\n \"repo_name\": \"alka2/mars-rover\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"## Mars Rover\\n\\nA squad of robotic rovers are to be landed by NASA on a plateau on Mars.\\n\\nThis plateau, which is curiously rectangular, must be navigated by the rovers so that their on board cameras can get a complete view of the surrounding terrain to send back to Earth.\\n\\nA rover's position is represented by a combination of an x and y co-ordinates and a letter representing one of the four cardinal compass points. The plateau is divided up into a grid to simplify navigation. An example position might be 0, 0, N, which means the rover is in the bottom left corner and facing North.\\n\\nIn order to control a rover, NASA sends a simple string of letters. The possible letters are 'L', 'R' and 'M'. 'L' and 'R' makes the rover spin 90 degrees left or right respectively, without moving from its current spot.\\n\\n'M' means move forward one grid point, and maintain the same heading.\\n\\nAssume that the square directly North from (x, y) is (x, y+1).\\n\\nInput:\\n\\nConfiguration Input: The first line of input is the upper-right coordinates of the plateau, the lower-left coordinates are assumed to be 0,0.\\n\\nPer Rover Input:\\n\\nInput 1: Landing co-ordinates for the named Rover. The position is made up of two integers and a letter separated by spaces, corresponding to the x and y co-ordinates and the rover's orientation.\\n\\nInput 2: Navigation instructions for the named rover. i.e a string containing ('L', 'R', 'M').\\n\\n### How to run the app\\nTo run the application you need to have **Python3.7+**.\\n\\n#### Test input from command line:\\n```\\n$ python mars_rover.py \\\"Plateau:5 5\\nRover1 Landing:1 2 N\\nRover1 Instructions:LMLMLMLMM\\nRover2 Landing:3 3 E\\nRover2 Instructions:MMRMMRMRRM\\\"\\n```\\n\\n#### Test input from a file:\\n```\\n$ python mars_rover.py input.txt\\n```\\n\\n#### Expected Output:\\n```\\nRover1:1 3 N\\nRover2:5 1 E\\n```\\n\\n#### Unit Test:\\n```\\n$ python mars_rover_unittest.py\\n```\\n### Assumptions:\\n\\n- ``Rovers`` can land in the same grid as they can have different instructions.\\n- One Rover can move at a time and finishes its instructions and then next Rover starts its instructions.\\n- Collision is acceptable which means if Rover1 is in 1,3 grid, Rover2 can come to the same grid or pass the grid.\\n\\n### Other possible scenarios:\\n\\n- ``Rovers`` cannot land in the same grid.\\n- ``Rovers`` can move at the same time.\\n- Each ``Rover`` moves once at a time and then the next Rover moves.\\n- Apply one instruction at a time for each Rover (then apply one instruction for the next Rover).\\n- If a ``Rover`` cannot end at a grid that already have a ``Rover`` in it.\\n \\n#### Changes that are needed for the above scenarios:\\n\\n- If collision is **acceptable**, there won't be any changes in the main ``Rover`` class functions however ``apply_instructions`` function needs to be updated in order to apply instruction in the desired format.\\n- If collision is **NOT acceptable**, there needs to be a change in ``Rover`` class especially ``move`` function to prevent collision and add check for each move to avoid collision (if we do have simultaneous move, each move needs to be checked to make sure that there is no collision) or in some scenarios a Rover can be blocked completely if there is already another Rover in a grid that the other Rover wants to move (like if ``Rover`` cannot end at the same grid, the last ``move`` needs to be checked). Also there needs to be a change in ``apply_instructions`` like above. \\n- If ``Rovers`` cannot land at the same spot, then there needs to be a check in ``set_landing`` method in the ``Rover`` class.\\n\"\n },\n {\n \"alpha_fraction\": 0.5969141721725464,\n \"alphanum_fraction\": 0.6239151358604431,\n \"avg_line_length\": 41.90345001220703,\n \"blob_id\": \"48f9f7547948bd23e38b79c93d036f0b3956af73\",\n \"content_id\": \"c80354fd7b35832220430310e4e8b8d38818c09f\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 6222,\n \"license_type\": \"no_license\",\n \"max_line_length\": 85,\n \"num_lines\": 145,\n \"path\": \"/mars_rover_unittest.py\",\n \"repo_name\": \"alka2/mars-rover\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"\\nimport unittest\\n\\nimport mars_rover\\n\\n\\nclass TestPlateau(unittest.TestCase):\\n\\n def setUp(self):\\n self.plateau = mars_rover.Plateau()\\n\\n def test_invalid_get_coordinates(self):\\n self.plateau.set_upper_coordinates('7 7')\\n self.assertNotEqual(self.plateau.get_coordinates(), [0, 0, 5, 5])\\n\\n def test_coordinates_input_not_equal_to_two(self):\\n self.assertRaises(ValueError, self.plateau.set_upper_coordinates, '5 5 3')\\n\\n def test_coordinates_less_than_zero(self):\\n self.assertRaises(ValueError, self.plateau.set_upper_coordinates, '-1 -1')\\n\\n def test_coordinates_not_integer(self):\\n self.assertRaises(ValueError, self.plateau.set_upper_coordinates, 'S a')\\n\\n def test_valid_coordinates(self):\\n self.plateau.set_upper_coordinates('6 6')\\n self.assertEqual(self.plateau.get_coordinates(), [0, 0, 6, 6])\\n\\n def test_invalid_coordinates(self):\\n self.assertRaises(ValueError, self.plateau.set_upper_coordinates, '-1 -1')\\n\\n\\nclass TestRover(unittest.TestCase):\\n\\n def setUp(self):\\n self.rover = mars_rover.Rover()\\n self.rover.set_plateau_coordinates([0, 0, 5, 5])\\n\\n def test_valid_landing(self):\\n self.rover.set_landing('1 2 N')\\n self.assertEqual(self.rover.get_landing(), [1, 2, 'N'])\\n\\n def test_invalid_landing_from_file(self):\\n self.assertRaises(ValueError, self.rover.set_landing, '5 5')\\n\\n def test_landing_input_not_equal_to_three(self):\\n self.assertRaises(ValueError, self.rover.set_landing, '1 N')\\n\\n def test_landing_coordinates_not_integer(self):\\n self.assertRaises(ValueError, self.rover.set_landing, '1 W N')\\n\\n def test_landing_not_valid_orientation(self):\\n self.assertRaises(ValueError, self.rover.set_landing, '1 2 Q')\\n\\n def test_landing_x_coordinates_out_of_plateau(self):\\n self.assertRaises(ValueError, self.rover.set_landing, '6 2 N')\\n\\n def test_landing_y_coordinates_out_of_plateau(self):\\n self.assertRaises(ValueError, self.rover.set_landing, '1 6 N')\\n\\n def test_valid_instruction(self):\\n self.rover.set_instructions('LMLMLMLMM')\\n self.assertEqual(self.rover.get_instruction(), 'LMLMLMLMM')\\n\\n def test_invalid_instruction_control(self):\\n self.assertRaises(ValueError, self.rover.set_instructions, 'LMLMLMLMQ')\\n\\n def test_valid_navigation(self):\\n self.assertEqual(self.rover._new_orientation('N', 'L'), 'W')\\n self.assertEqual(self.rover._new_orientation('N', 'R'), 'E')\\n self.assertEqual(self.rover._new_orientation('W', 'L'), 'S')\\n self.assertEqual(self.rover._new_orientation('W', 'R'), 'N')\\n self.assertEqual(self.rover._new_orientation('S', 'L'), 'E')\\n self.assertEqual(self.rover._new_orientation('S', 'R'), 'W')\\n self.assertEqual(self.rover._new_orientation('E', 'L'), 'N')\\n self.assertEqual(self.rover._new_orientation('E', 'R'), 'S')\\n\\n def test_invalid_navigation(self):\\n self.assertNotEqual(self.rover._new_orientation('N', 'L'), 'N')\\n self.assertNotEqual(self.rover._new_orientation('N', 'R'), 'S')\\n self.assertNotEqual(self.rover._new_orientation('W', 'L'), 'W')\\n self.assertNotEqual(self.rover._new_orientation('W', 'R'), 'E')\\n self.assertNotEqual(self.rover._new_orientation('S', 'L'), 'N')\\n self.assertNotEqual(self.rover._new_orientation('S', 'R'), 'S')\\n self.assertNotEqual(self.rover._new_orientation('E', 'L'), 'W')\\n self.assertNotEqual(self.rover._new_orientation('E', 'R'), 'E')\\n\\n def test_navigation_return_type(self):\\n self.assertIsInstance(self.rover._new_orientation('N', 'L'), str)\\n\\n def test_valid_move(self):\\n self.assertEqual(self.rover._move('N', 1, 2), (1, 3))\\n self.assertEqual(self.rover._move('N', 1, 5), (1, 5))\\n self.assertEqual(self.rover._move('S', 1, 2), (1, 1))\\n self.assertEqual(self.rover._move('S', 1, 0), (1, 0))\\n self.assertEqual(self.rover._move('E', 1, 2), (2, 2))\\n self.assertEqual(self.rover._move('E', 5, 1), (5, 1))\\n self.assertEqual(self.rover._move('W', 1, 2), (0, 2))\\n self.assertEqual(self.rover._move('W', 0, 2), (0, 2))\\n\\n def test_invalid_move(self):\\n self.assertNotEqual(self.rover._move('N', 1, 2), (1, 2))\\n self.assertNotEqual(self.rover._move('N', 1, 5), (1, 6))\\n self.assertNotEqual(self.rover._move('S', 1, 2), (1, 2))\\n self.assertNotEqual(self.rover._move('S', 1, 0), (1, 1))\\n self.assertNotEqual(self.rover._move('E', 1, 2), (1, 2))\\n self.assertNotEqual(self.rover._move('E', 5, 1), (4, 1))\\n self.assertNotEqual(self.rover._move('W', 1, 2), (1, 2))\\n self.assertNotEqual(self.rover._move('W', 0, 2), (1, 2))\\n\\n def test_apply_instruction(self):\\n self.rover.set_landing('1 2 N')\\n self.rover.set_instructions('LMLMLMLMM')\\n self.assertEqual(self.rover.apply_instructions(), (1, 3, 'N'))\\n\\n\\nclass MarsRover(unittest.TestCase):\\n\\n def test_valid_result_from_problem(self):\\n input_data = ['MMRMMRMRRM', '3 3 E', 'LMLMLMLMM', '1 2 N', '5 5']\\n expected_output = ['Rover1:1 3 N', 'Rover2:5 1 E']\\n self.assertEqual(mars_rover.run_mars_rover(input_data), expected_output)\\n\\n def test_invalid_result(self):\\n input_data = ['MMRMMRMRRM', '3 3 E', 'LMLMLMLMM', '1 2 N', '5 5']\\n unexpected_output = ['Rover1:1 2 N', 'Rover2:5 0 E']\\n self.assertNotEqual(mars_rover.run_mars_rover(input_data), unexpected_output)\\n\\n def test_valid_case_1(self):\\n input_data = ['M', '3 3 E', 'L', '1 2 N', '5 5']\\n expected_output = ['Rover1:1 2 W', 'Rover2:4 3 E']\\n self.assertEqual(mars_rover.run_mars_rover(input_data), expected_output)\\n\\n def test_valid_case_2(self):\\n input_data = ['MR', '3 3 E', 'LM', '1 2 N', '5 5']\\n expected_output = ['Rover1:0 2 W', 'Rover2:4 3 S']\\n self.assertEqual(mars_rover.run_mars_rover(input_data), expected_output)\\n\\n def test_valid_case_3(self):\\n input_data = ['LR', '3 3 N', 'RL', '1 2 S', '5 5']\\n expected_output = ['Rover1:1 2 S', 'Rover2:3 3 N']\\n self.assertEqual(mars_rover.run_mars_rover(input_data), expected_output)\\n\\n\\nif __name__ == '__main__':\\n unittest.main()\\n\"\n },\n {\n \"alpha_fraction\": 0.616111695766449,\n \"alphanum_fraction\": 0.6207075715065002,\n \"avg_line_length\": 43.011451721191406,\n \"blob_id\": \"656e075317d1fb589ce9eda148349c8bbbc0a25c\",\n \"content_id\": \"e165f53188bf12ab0546eced1cab12716f21870d\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 11532,\n \"license_type\": \"no_license\",\n \"max_line_length\": 120,\n \"num_lines\": 262,\n \"path\": \"/mars_rover.py\",\n \"repo_name\": \"alka2/mars-rover\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"\\nimport sys\\nimport os\\n\\n\\nclass Plateau:\\n \\\"\\\"\\\"\\n class to set the Plateau object coordinates\\n \\\"\\\"\\\"\\n def __init__(self):\\n \\\"\\\"\\\"\\n initialize variables\\n \\\"\\\"\\\"\\n self.__bottom_left_x = 0\\n self.__bottom_left_y = 0\\n self.__upper_right_x = None\\n self.__upper_right_y = None\\n\\n def set_upper_coordinates(self, upper_coordinates):\\n \\\"\\\"\\\"\\n function to set Plateau upper right coordinates\\n :param upper_coordinates: Plateau coordinates from input\\n \\\"\\\"\\\"\\n try:\\n upper_coordinates = upper_coordinates.strip().split(' ')\\n\\n # check to make sure user entered only x and y coordinates\\n if len(upper_coordinates) != 2:\\n raise ValueError\\n self.__upper_right_x = int(upper_coordinates[0])\\n self.__upper_right_y = int(upper_coordinates[1])\\n\\n # check upper right coordinates to make sure we have a proper Plateau\\n if self.__upper_right_x < 0 or self.__upper_right_y < 0:\\n raise ValueError\\n\\n except ValueError: # catch exception if user didn't enter integers for coordinates and only two\\n raise ValueError('You must enter x and y for Plateau upper-right coordinates e.g. 5 5. Please try again!\\\\n')\\n\\n def get_coordinates(self) -> list:\\n \\\"\\\"\\\"\\n function to return Plateau coordinates to be used in Rover object\\n :return: array of Plateau coordinates -> [bottom left x, bottom left y, upper right x, upper right y]\\n \\\"\\\"\\\"\\n return [self.__bottom_left_x, self.__bottom_left_y, self.__upper_right_x, self.__upper_right_y]\\n\\n\\nclass Rover:\\n \\\"\\\"\\\"\\n class to set Rover object -> landing, instructions and apply instructions to the Rover on the Plateau\\n \\\"\\\"\\\"\\n def __init__(self):\\n \\\"\\\"\\\"\\n initialize variables\\n \\\"\\\"\\\"\\n self.__orientations = ['N', 'E', 'S', 'W'] # allowed orientation\\n self.__controls = ['L', 'R', 'M'] # allowed instructions\\n self.__plateau_bottom_left_x = None\\n self.__plateau_bottom_left_y = None\\n self.__plateau_upper_right_x = None\\n self.__plateau_upper_right_y = None\\n self.__rover_x = None\\n self.__rover_y = None\\n self.__rover_orientation = None\\n self.__rover_instruction = None\\n\\n def set_plateau_coordinates(self, coordinates):\\n \\\"\\\"\\\"\\n function to set Plateau coordinates to Rover object\\n :param coordinates: coordinates from Plateau objects\\n \\\"\\\"\\\"\\n self.__plateau_bottom_left_x = coordinates[0]\\n self.__plateau_bottom_left_y = coordinates[1]\\n self.__plateau_upper_right_x = coordinates[2]\\n self.__plateau_upper_right_y = coordinates[3]\\n\\n def set_landing(self, landing):\\n \\\"\\\"\\\"\\n function to set the Rover landing coordinates and its orientation\\n :param landing: Rover landing coordinates and orientation from input\\n \\\"\\\"\\\"\\n try:\\n landing = landing.strip().split(' ')\\n\\n # check to make sure user entered x and y coordinates and also orientation\\n if len(landing) != 3:\\n raise ValueError\\n\\n self.__rover_x = int(landing[0])\\n self.__rover_y = int(landing[1])\\n self.__rover_orientation = landing[2].upper()\\n\\n # check the orientation to see if it is a allowed orientation\\n if self.__rover_orientation not in self.__orientations:\\n raise ValueError\\n\\n # check the Rover landing x coordinates to see if it falls into the Plateau x coordinates\\n if not self.__plateau_bottom_left_x <= self.__rover_x <= self.__plateau_upper_right_x:\\n raise ValueError\\n\\n # check the Rover landing y coordinates to see if it falls into the Plateau y coordinates\\n if not self.__plateau_bottom_left_y <= self.__rover_y <= self.__plateau_upper_right_y:\\n raise ValueError\\n except ValueError: # capture exception if user didn't enter right information for landing\\n raise ValueError(\\n 'You must enter Rover landing coordinates and orientation. coordinates must fall into Plateau ' +\\n 'coordinates and orientation can be [\\\"N\\\", \\\"E\\\", \\\"S\\\", \\\"W\\\"]. N= North, E=East, S=South, W=West. ' +\\n 'e.g. 1 2 N for Plateau (5,5) and North facing. Please try again!\\\\n'\\n )\\n\\n def get_landing(self) -> list:\\n \\\"\\\"\\\"\\n function to get the Rover landing information\\n :return: array of landing info -> [rover x coordinate, rover y coordinate, rover orientation]\\n \\\"\\\"\\\"\\n return [self.__rover_x, self.__rover_y, self.__rover_orientation]\\n\\n def set_instructions(self, instruction):\\n \\\"\\\"\\\"\\n function to set the instructions that needs to be applied to the Rover\\n :param instruction: Rover instruction from input\\n \\\"\\\"\\\"\\n try:\\n self.__rover_instruction = instruction.strip().upper()\\n\\n # check instructions to make sure they are valid instructions\\n for instruction in self.__rover_instruction:\\n if instruction not in self.__controls:\\n raise ValueError\\n except ValueError: # capture exception if user didn't enter right information for the instruction\\n raise ValueError(\\n 'Navigation instructions can be in [\\\"L\\\", \\\"R\\\", \\\"M\\\"] e.g. LMLMLMLMRRM. ' +\\n 'L=Left, R=Right, M=Move. Please try again!\\\\n'\\n )\\n\\n def get_instruction(self) -> str:\\n \\\"\\\"\\\"\\n function to return navigation instruction\\n :return: navigation instruction string\\n \\\"\\\"\\\"\\n return self.__rover_instruction\\n\\n def _new_orientation(self, current_orientation, navigate_to) -> str:\\n \\\"\\\"\\\"\\n function to find the new orientation after 90 degrees left or right spin\\n :param current_orientation: current orientation of the Rover\\n :param navigate_to: spin 90 to left or right\\n :return: desired orientation of the Rover\\n \\\"\\\"\\\"\\n # spin 90 degrees to left\\n if navigate_to == 'L':\\n # used mod to return to end of the orientation array after the pointer reached to head\\n return self.__orientations[(self.__orientations.index(current_orientation) - 1) % 4]\\n # spin 90 degrees to right\\n else:\\n # used mod to return to head of the orientation array after the pointer reached to end\\n return self.__orientations[(self.__orientations.index(current_orientation) + 1) % 4]\\n\\n def _move(self, orientation, x, y) -> tuple:\\n \\\"\\\"\\\"\\n function to move Rover to desired location\\n :param orientation: current facing of the Rover\\n :param x: current x coordinate of the Rover\\n :param y: current y coordinate of the Rover\\n :return: new x and y coordinates or no change if hit the Plateau boundaries\\n \\\"\\\"\\\"\\n # if the Rover is facing North and it didn't hit the Plateau upper right y coordinate\\n if orientation == 'N' and y < self.__plateau_upper_right_y:\\n return x, y + 1\\n # if the Rover is facing South and it didn't hit the Plateau bottom left y coordinate\\n elif orientation == 'S' and y > self.__plateau_bottom_left_y:\\n return x, y - 1\\n # if the Rover is facing East and it didn't hit the Plateau upper right x coordinate\\n elif orientation == 'E' and x < self.__plateau_upper_right_x:\\n return x + 1, y\\n # if the Rover is facing West and Rover didn't hit the Plateau bottom left x coordinate\\n elif orientation == 'W' and x > self.__plateau_bottom_left_x:\\n return x - 1, y\\n return x, y\\n\\n def apply_instructions(self) -> tuple:\\n \\\"\\\"\\\"\\n apply instruction to the Rover\\n :return: the Rover final x and y and also its orientation -> x coordinate, y coordinate, orientation\\n \\\"\\\"\\\"\\n for instruction in self.__rover_instruction:\\n if instruction == 'M':\\n self.__rover_x, self.__rover_y = self._move(self.__rover_orientation, self.__rover_x, self.__rover_y)\\n else:\\n self.__rover_orientation = self._new_orientation(self.__rover_orientation, instruction)\\n return self.__rover_x, self.__rover_y, self.__rover_orientation\\n\\n\\ndef get_input() -> list:\\n \\\"\\\"\\\"\\n function to get input data either from command line or file\\n :return: array of input data\\n \\\"\\\"\\\"\\n if len(sys.argv) != 2:\\n raise ValueError('Missing input data. To run: python mars_rover.py <arg1>. arg1 is a file or input data')\\n\\n # read the Plateau and Rover data from file if file exists otherwise read the input from command line\\n if os.path.isfile(sys.argv[1]):\\n with open(sys.argv[1], 'r') as input_file:\\n plateau_rover_data = [line.strip().split(':')[1] for line in input_file.readlines() if line.strip()]\\n else:\\n plateau_rover_data = [line.strip().split(':')[1] for line in sys.argv[1].split('\\\\n') if line.strip()]\\n\\n # reverse the plateau_rover_data array to be able to use pop() function\\n plateau_rover_data.reverse()\\n\\n return plateau_rover_data\\n\\n\\ndef run_mars_rover(plateau_rover_data):\\n \\\"\\\"\\\"\\n function to read rovers' data and apply the instruction\\n assumptions:\\n - one Rover can move at a time and finishes its instructions and then next Rover starts its instructions.\\n - collision is acceptable which means if Rover1 is in 1,3 grid, Rover2 can come to the same grid or pass\\n the grid.\\n possible scenarios that we can change the above behavior:\\n - Rovers can move at the same time.\\n - each Rover moves once at a time and then the next Rover moves\\n - apply one instruction at a time for a Rover then apply one instruction for the next Rover\\n possible changes for above scenarios\\n - If collision is acceptable, there won't be any changes in the main Rover class functions however\\n ``apply_instructions`` function needs to be updated in order to apply instruction in the desired format.\\n - If collision is NOT acceptable, there needs to be a change in Rover class especially ``move`` function\\n to prevent collision or in some scenarios a Rover can be blocked completely if there is already another\\n Rover in a grid that the other Rover wants to surfs. Also there needs to be a change in\\n ``apply_instructions`` like above.\\n\\n :param plateau_rover_data: input data\\n \\\"\\\"\\\"\\n\\n results = []\\n\\n # set Plateau coordinates - get the first element from plateau_rover_data which is plateau coordinates\\n plateau = Plateau()\\n plateau.set_upper_coordinates(plateau_rover_data.pop())\\n plateau_coordinates = plateau.get_coordinates()\\n\\n # for loop to run for each Rover. For each Rover, there is two lines of input hence divide by 2\\n for i in range(0, int(len(plateau_rover_data) / 2)):\\n rover = Rover()\\n rover.set_plateau_coordinates(plateau_coordinates)\\n rover.set_landing(plateau_rover_data.pop())\\n rover.set_instructions(plateau_rover_data.pop())\\n rover_x, rover_y, rover_orientation = rover.apply_instructions()\\n results.append(\\n 'Rover{i}:{x} {y} {orientation}'.format(i=i + 1, x=rover_x, y=rover_y, orientation=rover_orientation)\\n )\\n return results\\n\\n\\nif __name__ == '__main__':\\n\\n try:\\n res = run_mars_rover(get_input())\\n print(*res, sep=\\\"\\\\n\\\")\\n except Exception as e:\\n raise\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":3,"string":"3"}}},{"rowIdx":2980089,"cells":{"repo_name":{"kind":"string","value":"angelo6792/PHSX815_Week8"},"repo_url":{"kind":"string","value":"https://github.com/angelo6792/PHSX815_Week8"},"snapshot_id":{"kind":"string","value":"12296ef37e6c8808b0598d300359d43333ab1d66"},"revision_id":{"kind":"string","value":"e1134316eb9222882c62e5c2a87ab117791851e5"},"directory_id":{"kind":"string","value":"56f9d0cd4e0139bafd13ed44ffe136f0ce7d0e46"},"branch_name":{"kind":"string","value":"refs/heads/main"},"visit_date":{"kind":"timestamp","value":"2023-03-28T23:43:20.415358","string":"2023-03-28T23:43:20.415358"},"revision_date":{"kind":"timestamp","value":"2021-03-29T00:12:55","string":"2021-03-29T00:12:55"},"committer_date":{"kind":"timestamp","value":"2021-03-29T00:12:55","string":"2021-03-29T00:12:55"},"github_id":{"kind":"number","value":351286866,"string":"351,286,866"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.7018348574638367,"alphanum_fraction":0.7201834917068481,"avg_line_length":16.440000534057617,"blob_id":"10605fdd7ccf900f398e3780526112b61f682e8b","content_id":"8a97eb72ae4564370b7d2681acb5fd44a5f8fbd7","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":436,"license_type":"no_license","max_line_length":49,"num_lines":25,"path":"/HW9python/Minimize.py","repo_name":"angelo6792/PHSX815_Week8","src_encoding":"UTF-8","text":"#! /usr/bin/env python\n\n# imports of external packages to use in our code\nimport sys\nimport numpy as np\nimport math\nimport sympy as sp\nfrom sympy import Symbol, integrate, exp, oo\nfrom scipy.optimize import minimize\nimport matplotlib.pyplot as plt\n\n#create array for funtion\nxx = np.linspace(-1,1)\n\n#random function\ndef f(x):\n return 8*x**4 - 4*x**2 + 3*x\n\n\nplt.plot(xx,f(xx))\nplt.show()\n\n\n#minimize function\nprint(minimize(f,[-1]))\n"},{"alpha_fraction":0.6006144285202026,"alphanum_fraction":0.6451612710952759,"avg_line_length":15.692307472229004,"blob_id":"0725faf44984cc156e0ad4adc5a083e22ef6432c","content_id":"8a716641fc560be96b0af418abf93c0925cb6b7d","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":651,"license_type":"no_license","max_line_length":52,"num_lines":39,"path":"/python/Rayleigh.py","repo_name":"angelo6792/PHSX815_Week8","src_encoding":"UTF-8","text":"import numpy as np\nimport scipy.stats\nimport scipy.stats as stats\nimport matplotlib.pyplot as plt\nfrom numpy import random\n\n\n\n# Creating dataset\nx1 = [-10,10]\n\n\nNmeas = 1\nNexp = 1000\n\nmu_experiment = 0\nmu_truearr = []\nmu_bestarr = []\nsigma = 2\n\nfor i in range(-100,100):\n mu_true = i//10\n\n for e in range(0,Nexp):\n mu_best = 0\n\n for m in range(0,Nmeas):\n z = float(random.normal(mu_true, sigma))\n mu_best += z\n\nnp.true_divide(mu_true, Nexp)\nmu_bestarr.append(mu_best)\nmu_truearr.append(mu_true)\n\n\nplt.hist2d(mu_truearr,mu_bestarr, bins = 20)\nplt.hist(x1, bins =20)\n#plt.fill(mu_truearr,mu_bestarr)\nplt.show()\n"}],"string":"[\n {\n \"alpha_fraction\": 0.7018348574638367,\n \"alphanum_fraction\": 0.7201834917068481,\n \"avg_line_length\": 16.440000534057617,\n \"blob_id\": \"10605fdd7ccf900f398e3780526112b61f682e8b\",\n \"content_id\": \"8a97eb72ae4564370b7d2681acb5fd44a5f8fbd7\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 436,\n \"license_type\": \"no_license\",\n \"max_line_length\": 49,\n \"num_lines\": 25,\n \"path\": \"/HW9python/Minimize.py\",\n \"repo_name\": \"angelo6792/PHSX815_Week8\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#! /usr/bin/env python\\n\\n# imports of external packages to use in our code\\nimport sys\\nimport numpy as np\\nimport math\\nimport sympy as sp\\nfrom sympy import Symbol, integrate, exp, oo\\nfrom scipy.optimize import minimize\\nimport matplotlib.pyplot as plt\\n\\n#create array for funtion\\nxx = np.linspace(-1,1)\\n\\n#random function\\ndef f(x):\\n return 8*x**4 - 4*x**2 + 3*x\\n\\n\\nplt.plot(xx,f(xx))\\nplt.show()\\n\\n\\n#minimize function\\nprint(minimize(f,[-1]))\\n\"\n },\n {\n \"alpha_fraction\": 0.6006144285202026,\n \"alphanum_fraction\": 0.6451612710952759,\n \"avg_line_length\": 15.692307472229004,\n \"blob_id\": \"0725faf44984cc156e0ad4adc5a083e22ef6432c\",\n \"content_id\": \"8a716641fc560be96b0af418abf93c0925cb6b7d\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 651,\n \"license_type\": \"no_license\",\n \"max_line_length\": 52,\n \"num_lines\": 39,\n \"path\": \"/python/Rayleigh.py\",\n \"repo_name\": \"angelo6792/PHSX815_Week8\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import numpy as np\\nimport scipy.stats\\nimport scipy.stats as stats\\nimport matplotlib.pyplot as plt\\nfrom numpy import random\\n\\n\\n\\n# Creating dataset\\nx1 = [-10,10]\\n\\n\\nNmeas = 1\\nNexp = 1000\\n\\nmu_experiment = 0\\nmu_truearr = []\\nmu_bestarr = []\\nsigma = 2\\n\\nfor i in range(-100,100):\\n mu_true = i//10\\n\\n for e in range(0,Nexp):\\n mu_best = 0\\n\\n for m in range(0,Nmeas):\\n z = float(random.normal(mu_true, sigma))\\n mu_best += z\\n\\nnp.true_divide(mu_true, Nexp)\\nmu_bestarr.append(mu_best)\\nmu_truearr.append(mu_true)\\n\\n\\nplt.hist2d(mu_truearr,mu_bestarr, bins = 20)\\nplt.hist(x1, bins =20)\\n#plt.fill(mu_truearr,mu_bestarr)\\nplt.show()\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":2,"string":"2"}}},{"rowIdx":2980090,"cells":{"repo_name":{"kind":"string","value":"berpress/MT5WT"},"repo_url":{"kind":"string","value":"https://github.com/berpress/MT5WT"},"snapshot_id":{"kind":"string","value":"674e14ee8797a5c0e1560c6c82438d4c15464fb0"},"revision_id":{"kind":"string","value":"10826f974cd5aef14e8771e18ca0314f27a902e3"},"directory_id":{"kind":"string","value":"79fb040ce8977ae233fb09152d9fb00419f82706"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2023-08-04T11:28:38.949923","string":"2023-08-04T11:28:38.949923"},"revision_date":{"kind":"timestamp","value":"2019-12-08T08:50:20","string":"2019-12-08T08:50:20"},"committer_date":{"kind":"timestamp","value":"2019-12-08T08:50:20","string":"2019-12-08T08:50:20"},"github_id":{"kind":"number","value":215619070,"string":"215,619,070"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"string","value":"Apache-2.0"},"gha_created_at":{"kind":"timestamp","value":"2019-10-16T18:39:46","string":"2019-10-16T18:39:46"},"gha_updated_at":{"kind":"timestamp","value":"2019-12-08T08:50:46","string":"2019-12-08T08:50:46"},"gha_pushed_at":{"kind":"timestamp","value":"2023-07-25T16:56:18","string":"2023-07-25T16:56:18"},"gha_language":{"kind":"string","value":"Python"},"files":{"kind":"list like","value":[{"alpha_fraction":0.6268656849861145,"alphanum_fraction":0.6865671873092651,"avg_line_length":15,"blob_id":"d29f21518a4eda8a3a9bd55af5694b4ea5c7776d","content_id":"6e8503624bed4622d61d92e0e09985a2709aa510","detected_licenses":["Apache-2.0"],"is_generated":false,"is_vendor":false,"language":"INI","length_bytes":335,"license_type":"permissive","max_line_length":31,"num_lines":21,"path":"/tox.ini","repo_name":"berpress/MT5WT","src_encoding":"UTF-8","text":"[tox]\nenvlist = py3\nskipsdist = True\n\n[testenv]\ncommands =\n flake8 ./tests\n flake8 ./fixture\n flake8 ./locators\n flake8 ./common\n\n[pytest]\naddopts = -v\ntestpaths = tests\n\n[flake8]\nmax-line-length = 79\nignore = D203, D101, W503, C901\nexclude = .git,__pycache__,venv\napplication-import-names = api\nimport-order-style = google"},{"alpha_fraction":0.8108108043670654,"alphanum_fraction":0.837837815284729,"avg_line_length":18,"blob_id":"6252d6e51cacd814f8ea939a212883ed872205ca","content_id":"0b30336213ecfee4213d411739eb132a23df7619","detected_licenses":["Apache-2.0"],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":67,"license_type":"permissive","max_line_length":26,"num_lines":2,"path":"/doc/TEST_CASES.md","repo_name":"berpress/MT5WT","src_encoding":"UTF-8","text":"Тест кейсы\n1. Авторизация в терминале"},{"alpha_fraction":0.718120813369751,"alphanum_fraction":0.7516778707504272,"avg_line_length":36.25,"blob_id":"374e15d844d6ef07b9c66d7c25953cd8c4380270","content_id":"2b82d64a4e64330ed4488d8f80468e6e6a1de550","detected_licenses":["Apache-2.0"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":298,"license_type":"permissive","max_line_length":80,"num_lines":8,"path":"/common/common.py","repo_name":"berpress/MT5WT","src_encoding":"UTF-8","text":"from collections import namedtuple\n\nAccount = namedtuple(\"Account\", \"trading_type login password investor_password\")\nSymbol = namedtuple(\"Symbol\", \"symbol_type symbol_name\")\n\n\nNETTING_ACCOUNT = Account(\"netting\", \"22722541\", \"hz8phdia\", \"livjdf2b\")\nNETTING_SYMBOLS = Symbol(\"instant_ex\", \"EURUSD\")\n"},{"alpha_fraction":0.6796537041664124,"alphanum_fraction":0.701298713684082,"avg_line_length":27.875,"blob_id":"d44fd84ccd4e2865813ed20f5451bfe40c0c50d6","content_id":"d27ef542c17928d8d2100f6c5c02e9e67a59fde6","detected_licenses":["Apache-2.0"],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":464,"license_type":"permissive","max_line_length":111,"num_lines":16,"path":"/README.md","repo_name":"berpress/MT5WT","src_encoding":"UTF-8","text":"# MT5 WebTerminal\n[](https://travis-ci.org/berpress/MT5WT)\n\n## Autotests at selenium and python for WebTerminal МТ5 (https://trade.mql5.com/trade)\n\nHow to use:\n1. Copy project\n```\ngit clone git@github.com:berpress/MT5WT.git\n```\n2. Install poetry \n poetry - https://poetry.eustace.io/\n \n How to use poetry:\n 1. Install packeges - poetry install\n 2. Add package - poetry add <package>\n"},{"alpha_fraction":0.6499312520027161,"alphanum_fraction":0.6533700227737427,"avg_line_length":30.60869598388672,"blob_id":"299e40a9cb4874de2b65b9b25c30dabeb3b58b86","content_id":"0e0b4b05754bd1e0b0a345547f5821f95c723ea1","detected_licenses":["Apache-2.0"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1454,"license_type":"permissive","max_line_length":79,"num_lines":46,"path":"/fixture/login_page.py","repo_name":"berpress/MT5WT","src_encoding":"UTF-8","text":"from selenium.common.exceptions import NoSuchElementException\n\nfrom locators.login_page import Authorization\nfrom fixture._base import log\n\n\nclass LoginPage:\n def __init__(self, app):\n self.app = app\n\n def open(self):\n log.info(f\"Open {self.app.base_url}\")\n self.app.wd.get(self.app.base_url)\n\n def auth_terminal(self, login, password, mt5_platform=True):\n log.info(f\"Auth in terminal, login = {login}, password = {password}\")\n if mt5_platform:\n self.select_mt5_platform().click()\n self.password_input().send_keys(password)\n self.login_input().send_keys(login)\n self.button_login().click()\n\n def password_input(self):\n return self.app.wd.find_element(*Authorization.PASSWORD_INPUT)\n\n def login_input(self):\n return self.app.wd.find_element(*Authorization.LOGIN_INPUT)\n\n def select_mt5_platform(self):\n return self.app.wd.find_element(*Authorization.MT5_PLATFORM)\n\n def button_login(self):\n return self.app.wd.find_element(*Authorization.BTN_LOGIN)\n\n def total_field(self):\n return self.app.wd.find_element(*Authorization.TOTAL_FIELD)\n\n def account_info(self):\n return self.app.wd.find_element(*Authorization.ACCOUNT_INFO)\n\n def is_auth(self, username):\n try:\n if username in self.account_info().text():\n return True\n except NoSuchElementException:\n return False\n"},{"alpha_fraction":0.5858823657035828,"alphanum_fraction":0.6447058916091919,"avg_line_length":19.238094329833984,"blob_id":"5ef9d3100c1f75514593f3e7c46e3c992014ab2f","content_id":"2b8a6b5c0e50f6ca341aa0aea8f99cace0095515","detected_licenses":["Apache-2.0"],"is_generated":false,"is_vendor":false,"language":"TOML","length_bytes":425,"license_type":"permissive","max_line_length":52,"num_lines":21,"path":"/pyproject.toml","repo_name":"berpress/MT5WT","src_encoding":"UTF-8","text":"[tool.poetry]\nname = \"WT_MT5\"\nversion = \"1.0\"\ndescription = \"\"\nauthors = [\"mq_old_qa\"]\n\n[tool.poetry.dependencies]\npython = \"^3.6\"\nselenium = \"^3.141\"\npytest = \"^5.3\"\nwebdrivermanager = \"^0.7.4\"\nwebdriver_manager = \"^2.3\"\npre-commit = \"^1.20\"\nflake8 = \"^3.7\"\n\n[tool.poetry.dev-dependencies]\nblack = { version = \"*\", allows-prereleases = true }\n\n[build-system]\nrequires = [\"poetry>=0.12\"]\nbuild-backend = \"poetry.masonry.api\"\n"},{"alpha_fraction":0.8020833134651184,"alphanum_fraction":0.8020833134651184,"avg_line_length":18.200000762939453,"blob_id":"4bb134afe54fa31ae9ea1510b71062097bc86fb1","content_id":"0d61ee15897bf40f0a5f1b4383621a2d4209c39a","detected_licenses":["Apache-2.0"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":96,"license_type":"permissive","max_line_length":39,"num_lines":5,"path":"/fixture/_base.py","repo_name":"berpress/MT5WT","src_encoding":"UTF-8","text":"import logging\n\nlogging.basicConfig(level=logging.INFO)\n\nlog = logging.getLogger(\"WebTerminal\")\n"},{"alpha_fraction":0.5672268867492676,"alphanum_fraction":0.5714285969734192,"avg_line_length":20.636363983154297,"blob_id":"bcb36ffc5f2938b338aa3b80c4cb69e5b3d15ca7","content_id":"e7cfb548edc1fef4ad79ebf5b0a7d2a29fa031e2","detected_licenses":["Apache-2.0"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":238,"license_type":"permissive","max_line_length":52,"num_lines":11,"path":"/tests/test_menu.py","repo_name":"berpress/MT5WT","src_encoding":"UTF-8","text":"# import pytest\n\n\n# class TestMenu:\n# @pytest.mark.issue(id=\"x\")\n# def test_menu_text(self, app, auth_netting):\n# pass\n#\n# @pytest.mark.issue(id=\"x\")\n# def test_menu_text_2(self, app, auth_netting):\n# pass\n"},{"alpha_fraction":0.6918032765388489,"alphanum_fraction":0.6950819492340088,"avg_line_length":24.41666603088379,"blob_id":"d72b8da7d305248637a7ad0837071f4cfa8ac439","content_id":"2548478dd03427cbef5b511258e443c385042874","detected_licenses":["Apache-2.0"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":305,"license_type":"permissive","max_line_length":79,"num_lines":12,"path":"/tests/test_login.py","repo_name":"berpress/MT5WT","src_encoding":"UTF-8","text":"import pytest\n\n\nfrom common.common import NETTING_ACCOUNT\n\n\nclass TestLogin:\n @pytest.mark.issue(id=\"1\")\n def test_login(self, app):\n app.auth.open()\n app.auth.auth_terminal(NETTING_ACCOUNT.login, NETTING_ACCOUNT.password)\n assert app.auth.total_field(), \"Authorization failed\"\n"},{"alpha_fraction":0.6954887509346008,"alphanum_fraction":0.6954887509346008,"avg_line_length":30.294116973876953,"blob_id":"350821a9ea3073e2bf10287fc99c325488968ec2","content_id":"4a68969bf6f78291996cd96e401f8ae55298208b","detected_licenses":["Apache-2.0"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":532,"license_type":"permissive","max_line_length":59,"num_lines":17,"path":"/fixture/application.py","repo_name":"berpress/MT5WT","src_encoding":"UTF-8","text":"from fixture.login_page import LoginPage\nfrom selenium import webdriver\nfrom webdriver_manager.chrome import ChromeDriverManager\nfrom selenium.webdriver.chrome.options import Options\n\n\nclass Application:\n def __init__(self, base_url):\n options: Options = Options()\n options.headless = True\n driver = ChromeDriverManager().install()\n self.wd = webdriver.Chrome(driver, options=options)\n self.auth = LoginPage(self)\n self.base_url = base_url\n\n def destroy(self):\n self.wd.quit()\n"},{"alpha_fraction":0.6748971343040466,"alphanum_fraction":0.6790123581886292,"avg_line_length":24.13793182373047,"blob_id":"5e2d0fe326d9dab8362326721b9f23e3fed334fa","content_id":"8145be52efea74b03f5b43c1e53cd198f1584621","detected_licenses":["Apache-2.0"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":729,"license_type":"permissive","max_line_length":79,"num_lines":29,"path":"/conftest.py","repo_name":"berpress/MT5WT","src_encoding":"UTF-8","text":"import pytest\nfrom common.common import NETTING_ACCOUNT\nfrom fixture.application import Application\n\n\n@pytest.fixture(scope=\"session\")\ndef app(request):\n base_url = request.config.getoption(\"--base_url\")\n fixture = Application(base_url)\n fixture.wd.maximize_window()\n fixture.wd.implicitly_wait(10)\n yield fixture\n fixture.destroy()\n\n\ndef pytest_addoption(parser):\n parser.addoption(\n \"--base_url\",\n action=\"store\",\n default=\"https://trade.mql5.com/trade\",\n help=\"base_url\",\n )\n\n\n@pytest.fixture()\ndef auth_netting(app):\n if not app.auth.is_auth(NETTING_ACCOUNT.login):\n app.auth.open()\n app.auth.auth_terminal(NETTING_ACCOUNT.login, NETTING_ACCOUNT.password)\n"},{"alpha_fraction":0.6169772148132324,"alphanum_fraction":0.6252588033676147,"avg_line_length":36.153846740722656,"blob_id":"47440b46f54cf856a45bab71bc45d38b4561c2f5","content_id":"c52ad7676284b5fdc38c4c66eddcc818a8696a34","detected_licenses":["Apache-2.0"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":483,"license_type":"permissive","max_line_length":78,"num_lines":13,"path":"/locators/login_page.py","repo_name":"berpress/MT5WT","src_encoding":"UTF-8","text":"from selenium.webdriver.common.by import By\n\n\nclass Authorization:\n LOGIN_INPUT = (By.ID, \"login\")\n PASSWORD_INPUT = (By.ID, \"password\")\n SAVE_PASSWORD_CHECKBOX = (By.ID, \"save\")\n SERVER_INPUT = (By.ID, \"server\")\n MT4_PLATFORM = (By.ID, \"mt4-platform\")\n MT5_PLATFORM = (By.ID, \"mt5-platform\")\n BTN_LOGIN = (By.XPATH, \"//button[@class='input-button' and text()='OK']\")\n TOTAL_FIELD = (By.ID, \"total\")\n ACCOUNT_INFO = (By.CLASS_NAME, \"page-text account\")\n"},{"alpha_fraction":0.7111111283302307,"alphanum_fraction":0.7111111283302307,"avg_line_length":21,"blob_id":"b953c6d7b1bee8bd7a47663de615a1c75511f9ae","content_id":"87da065728fa9a2ae3422b829ee537cebb1e7431","detected_licenses":["Apache-2.0"],"is_generated":false,"is_vendor":false,"language":"INI","length_bytes":45,"license_type":"permissive","max_line_length":34,"num_lines":2,"path":"/pytest.ini","repo_name":"berpress/MT5WT","src_encoding":"UTF-8","text":"[pytest]\nmarkers = issue: see doc/TEST_CASE\n\n"}],"string":"[\n {\n \"alpha_fraction\": 0.6268656849861145,\n \"alphanum_fraction\": 0.6865671873092651,\n \"avg_line_length\": 15,\n \"blob_id\": \"d29f21518a4eda8a3a9bd55af5694b4ea5c7776d\",\n \"content_id\": \"6e8503624bed4622d61d92e0e09985a2709aa510\",\n \"detected_licenses\": [\n \"Apache-2.0\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"INI\",\n \"length_bytes\": 335,\n \"license_type\": \"permissive\",\n \"max_line_length\": 31,\n \"num_lines\": 21,\n \"path\": \"/tox.ini\",\n \"repo_name\": \"berpress/MT5WT\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"[tox]\\nenvlist = py3\\nskipsdist = True\\n\\n[testenv]\\ncommands =\\n flake8 ./tests\\n flake8 ./fixture\\n flake8 ./locators\\n flake8 ./common\\n\\n[pytest]\\naddopts = -v\\ntestpaths = tests\\n\\n[flake8]\\nmax-line-length = 79\\nignore = D203, D101, W503, C901\\nexclude = .git,__pycache__,venv\\napplication-import-names = api\\nimport-order-style = google\"\n },\n {\n \"alpha_fraction\": 0.8108108043670654,\n \"alphanum_fraction\": 0.837837815284729,\n \"avg_line_length\": 18,\n \"blob_id\": \"6252d6e51cacd814f8ea939a212883ed872205ca\",\n \"content_id\": \"0b30336213ecfee4213d411739eb132a23df7619\",\n \"detected_licenses\": [\n \"Apache-2.0\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 67,\n \"license_type\": \"permissive\",\n \"max_line_length\": 26,\n \"num_lines\": 2,\n \"path\": \"/doc/TEST_CASES.md\",\n \"repo_name\": \"berpress/MT5WT\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"Тест кейсы\\n1. Авторизация в терминале\"\n },\n {\n \"alpha_fraction\": 0.718120813369751,\n \"alphanum_fraction\": 0.7516778707504272,\n \"avg_line_length\": 36.25,\n \"blob_id\": \"374e15d844d6ef07b9c66d7c25953cd8c4380270\",\n \"content_id\": \"2b82d64a4e64330ed4488d8f80468e6e6a1de550\",\n \"detected_licenses\": [\n \"Apache-2.0\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 298,\n \"license_type\": \"permissive\",\n \"max_line_length\": 80,\n \"num_lines\": 8,\n \"path\": \"/common/common.py\",\n \"repo_name\": \"berpress/MT5WT\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from collections import namedtuple\\n\\nAccount = namedtuple(\\\"Account\\\", \\\"trading_type login password investor_password\\\")\\nSymbol = namedtuple(\\\"Symbol\\\", \\\"symbol_type symbol_name\\\")\\n\\n\\nNETTING_ACCOUNT = Account(\\\"netting\\\", \\\"22722541\\\", \\\"hz8phdia\\\", \\\"livjdf2b\\\")\\nNETTING_SYMBOLS = Symbol(\\\"instant_ex\\\", \\\"EURUSD\\\")\\n\"\n },\n {\n \"alpha_fraction\": 0.6796537041664124,\n \"alphanum_fraction\": 0.701298713684082,\n \"avg_line_length\": 27.875,\n \"blob_id\": \"d44fd84ccd4e2865813ed20f5451bfe40c0c50d6\",\n \"content_id\": \"d27ef542c17928d8d2100f6c5c02e9e67a59fde6\",\n \"detected_licenses\": [\n \"Apache-2.0\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 464,\n \"license_type\": \"permissive\",\n \"max_line_length\": 111,\n \"num_lines\": 16,\n \"path\": \"/README.md\",\n \"repo_name\": \"berpress/MT5WT\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# MT5 WebTerminal\\n[](https://travis-ci.org/berpress/MT5WT)\\n\\n## Autotests at selenium and python for WebTerminal МТ5 (https://trade.mql5.com/trade)\\n\\nHow to use:\\n1. Copy project\\n```\\ngit clone git@github.com:berpress/MT5WT.git\\n```\\n2. Install poetry \\n poetry - https://poetry.eustace.io/\\n \\n How to use poetry:\\n 1. Install packeges - poetry install\\n 2. Add package - poetry add <package>\\n\"\n },\n {\n \"alpha_fraction\": 0.6499312520027161,\n \"alphanum_fraction\": 0.6533700227737427,\n \"avg_line_length\": 30.60869598388672,\n \"blob_id\": \"299e40a9cb4874de2b65b9b25c30dabeb3b58b86\",\n \"content_id\": \"0e0b4b05754bd1e0b0a345547f5821f95c723ea1\",\n \"detected_licenses\": [\n \"Apache-2.0\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1454,\n \"license_type\": \"permissive\",\n \"max_line_length\": 79,\n \"num_lines\": 46,\n \"path\": \"/fixture/login_page.py\",\n \"repo_name\": \"berpress/MT5WT\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from selenium.common.exceptions import NoSuchElementException\\n\\nfrom locators.login_page import Authorization\\nfrom fixture._base import log\\n\\n\\nclass LoginPage:\\n def __init__(self, app):\\n self.app = app\\n\\n def open(self):\\n log.info(f\\\"Open {self.app.base_url}\\\")\\n self.app.wd.get(self.app.base_url)\\n\\n def auth_terminal(self, login, password, mt5_platform=True):\\n log.info(f\\\"Auth in terminal, login = {login}, password = {password}\\\")\\n if mt5_platform:\\n self.select_mt5_platform().click()\\n self.password_input().send_keys(password)\\n self.login_input().send_keys(login)\\n self.button_login().click()\\n\\n def password_input(self):\\n return self.app.wd.find_element(*Authorization.PASSWORD_INPUT)\\n\\n def login_input(self):\\n return self.app.wd.find_element(*Authorization.LOGIN_INPUT)\\n\\n def select_mt5_platform(self):\\n return self.app.wd.find_element(*Authorization.MT5_PLATFORM)\\n\\n def button_login(self):\\n return self.app.wd.find_element(*Authorization.BTN_LOGIN)\\n\\n def total_field(self):\\n return self.app.wd.find_element(*Authorization.TOTAL_FIELD)\\n\\n def account_info(self):\\n return self.app.wd.find_element(*Authorization.ACCOUNT_INFO)\\n\\n def is_auth(self, username):\\n try:\\n if username in self.account_info().text():\\n return True\\n except NoSuchElementException:\\n return False\\n\"\n },\n {\n \"alpha_fraction\": 0.5858823657035828,\n \"alphanum_fraction\": 0.6447058916091919,\n \"avg_line_length\": 19.238094329833984,\n \"blob_id\": \"5ef9d3100c1f75514593f3e7c46e3c992014ab2f\",\n \"content_id\": \"2b8a6b5c0e50f6ca341aa0aea8f99cace0095515\",\n \"detected_licenses\": [\n \"Apache-2.0\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"TOML\",\n \"length_bytes\": 425,\n \"license_type\": \"permissive\",\n \"max_line_length\": 52,\n \"num_lines\": 21,\n \"path\": \"/pyproject.toml\",\n \"repo_name\": \"berpress/MT5WT\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"[tool.poetry]\\nname = \\\"WT_MT5\\\"\\nversion = \\\"1.0\\\"\\ndescription = \\\"\\\"\\nauthors = [\\\"mq_old_qa\\\"]\\n\\n[tool.poetry.dependencies]\\npython = \\\"^3.6\\\"\\nselenium = \\\"^3.141\\\"\\npytest = \\\"^5.3\\\"\\nwebdrivermanager = \\\"^0.7.4\\\"\\nwebdriver_manager = \\\"^2.3\\\"\\npre-commit = \\\"^1.20\\\"\\nflake8 = \\\"^3.7\\\"\\n\\n[tool.poetry.dev-dependencies]\\nblack = { version = \\\"*\\\", allows-prereleases = true }\\n\\n[build-system]\\nrequires = [\\\"poetry>=0.12\\\"]\\nbuild-backend = \\\"poetry.masonry.api\\\"\\n\"\n },\n {\n \"alpha_fraction\": 0.8020833134651184,\n \"alphanum_fraction\": 0.8020833134651184,\n \"avg_line_length\": 18.200000762939453,\n \"blob_id\": \"4bb134afe54fa31ae9ea1510b71062097bc86fb1\",\n \"content_id\": \"0d61ee15897bf40f0a5f1b4383621a2d4209c39a\",\n \"detected_licenses\": [\n \"Apache-2.0\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 96,\n \"license_type\": \"permissive\",\n \"max_line_length\": 39,\n \"num_lines\": 5,\n \"path\": \"/fixture/_base.py\",\n \"repo_name\": \"berpress/MT5WT\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import logging\\n\\nlogging.basicConfig(level=logging.INFO)\\n\\nlog = logging.getLogger(\\\"WebTerminal\\\")\\n\"\n },\n {\n \"alpha_fraction\": 0.5672268867492676,\n \"alphanum_fraction\": 0.5714285969734192,\n \"avg_line_length\": 20.636363983154297,\n \"blob_id\": \"bcb36ffc5f2938b338aa3b80c4cb69e5b3d15ca7\",\n \"content_id\": \"e7cfb548edc1fef4ad79ebf5b0a7d2a29fa031e2\",\n \"detected_licenses\": [\n \"Apache-2.0\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 238,\n \"license_type\": \"permissive\",\n \"max_line_length\": 52,\n \"num_lines\": 11,\n \"path\": \"/tests/test_menu.py\",\n \"repo_name\": \"berpress/MT5WT\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# import pytest\\n\\n\\n# class TestMenu:\\n# @pytest.mark.issue(id=\\\"x\\\")\\n# def test_menu_text(self, app, auth_netting):\\n# pass\\n#\\n# @pytest.mark.issue(id=\\\"x\\\")\\n# def test_menu_text_2(self, app, auth_netting):\\n# pass\\n\"\n },\n {\n \"alpha_fraction\": 0.6918032765388489,\n \"alphanum_fraction\": 0.6950819492340088,\n \"avg_line_length\": 24.41666603088379,\n \"blob_id\": \"d72b8da7d305248637a7ad0837071f4cfa8ac439\",\n \"content_id\": \"2548478dd03427cbef5b511258e443c385042874\",\n \"detected_licenses\": [\n \"Apache-2.0\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 305,\n \"license_type\": \"permissive\",\n \"max_line_length\": 79,\n \"num_lines\": 12,\n \"path\": \"/tests/test_login.py\",\n \"repo_name\": \"berpress/MT5WT\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import pytest\\n\\n\\nfrom common.common import NETTING_ACCOUNT\\n\\n\\nclass TestLogin:\\n @pytest.mark.issue(id=\\\"1\\\")\\n def test_login(self, app):\\n app.auth.open()\\n app.auth.auth_terminal(NETTING_ACCOUNT.login, NETTING_ACCOUNT.password)\\n assert app.auth.total_field(), \\\"Authorization failed\\\"\\n\"\n },\n {\n \"alpha_fraction\": 0.6954887509346008,\n \"alphanum_fraction\": 0.6954887509346008,\n \"avg_line_length\": 30.294116973876953,\n \"blob_id\": \"350821a9ea3073e2bf10287fc99c325488968ec2\",\n \"content_id\": \"4a68969bf6f78291996cd96e401f8ae55298208b\",\n \"detected_licenses\": [\n \"Apache-2.0\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 532,\n \"license_type\": \"permissive\",\n \"max_line_length\": 59,\n \"num_lines\": 17,\n \"path\": \"/fixture/application.py\",\n \"repo_name\": \"berpress/MT5WT\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from fixture.login_page import LoginPage\\nfrom selenium import webdriver\\nfrom webdriver_manager.chrome import ChromeDriverManager\\nfrom selenium.webdriver.chrome.options import Options\\n\\n\\nclass Application:\\n def __init__(self, base_url):\\n options: Options = Options()\\n options.headless = True\\n driver = ChromeDriverManager().install()\\n self.wd = webdriver.Chrome(driver, options=options)\\n self.auth = LoginPage(self)\\n self.base_url = base_url\\n\\n def destroy(self):\\n self.wd.quit()\\n\"\n },\n {\n \"alpha_fraction\": 0.6748971343040466,\n \"alphanum_fraction\": 0.6790123581886292,\n \"avg_line_length\": 24.13793182373047,\n \"blob_id\": \"5e2d0fe326d9dab8362326721b9f23e3fed334fa\",\n \"content_id\": \"8145be52efea74b03f5b43c1e53cd198f1584621\",\n \"detected_licenses\": [\n \"Apache-2.0\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 729,\n \"license_type\": \"permissive\",\n \"max_line_length\": 79,\n \"num_lines\": 29,\n \"path\": \"/conftest.py\",\n \"repo_name\": \"berpress/MT5WT\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import pytest\\nfrom common.common import NETTING_ACCOUNT\\nfrom fixture.application import Application\\n\\n\\n@pytest.fixture(scope=\\\"session\\\")\\ndef app(request):\\n base_url = request.config.getoption(\\\"--base_url\\\")\\n fixture = Application(base_url)\\n fixture.wd.maximize_window()\\n fixture.wd.implicitly_wait(10)\\n yield fixture\\n fixture.destroy()\\n\\n\\ndef pytest_addoption(parser):\\n parser.addoption(\\n \\\"--base_url\\\",\\n action=\\\"store\\\",\\n default=\\\"https://trade.mql5.com/trade\\\",\\n help=\\\"base_url\\\",\\n )\\n\\n\\n@pytest.fixture()\\ndef auth_netting(app):\\n if not app.auth.is_auth(NETTING_ACCOUNT.login):\\n app.auth.open()\\n app.auth.auth_terminal(NETTING_ACCOUNT.login, NETTING_ACCOUNT.password)\\n\"\n },\n {\n \"alpha_fraction\": 0.6169772148132324,\n \"alphanum_fraction\": 0.6252588033676147,\n \"avg_line_length\": 36.153846740722656,\n \"blob_id\": \"47440b46f54cf856a45bab71bc45d38b4561c2f5\",\n \"content_id\": \"c52ad7676284b5fdc38c4c66eddcc818a8696a34\",\n \"detected_licenses\": [\n \"Apache-2.0\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 483,\n \"license_type\": \"permissive\",\n \"max_line_length\": 78,\n \"num_lines\": 13,\n \"path\": \"/locators/login_page.py\",\n \"repo_name\": \"berpress/MT5WT\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from selenium.webdriver.common.by import By\\n\\n\\nclass Authorization:\\n LOGIN_INPUT = (By.ID, \\\"login\\\")\\n PASSWORD_INPUT = (By.ID, \\\"password\\\")\\n SAVE_PASSWORD_CHECKBOX = (By.ID, \\\"save\\\")\\n SERVER_INPUT = (By.ID, \\\"server\\\")\\n MT4_PLATFORM = (By.ID, \\\"mt4-platform\\\")\\n MT5_PLATFORM = (By.ID, \\\"mt5-platform\\\")\\n BTN_LOGIN = (By.XPATH, \\\"//button[@class='input-button' and text()='OK']\\\")\\n TOTAL_FIELD = (By.ID, \\\"total\\\")\\n ACCOUNT_INFO = (By.CLASS_NAME, \\\"page-text account\\\")\\n\"\n },\n {\n \"alpha_fraction\": 0.7111111283302307,\n \"alphanum_fraction\": 0.7111111283302307,\n \"avg_line_length\": 21,\n \"blob_id\": \"b953c6d7b1bee8bd7a47663de615a1c75511f9ae\",\n \"content_id\": \"87da065728fa9a2ae3422b829ee537cebb1e7431\",\n \"detected_licenses\": [\n \"Apache-2.0\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"INI\",\n \"length_bytes\": 45,\n \"license_type\": \"permissive\",\n \"max_line_length\": 34,\n \"num_lines\": 2,\n \"path\": \"/pytest.ini\",\n \"repo_name\": \"berpress/MT5WT\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"[pytest]\\nmarkers = issue: see doc/TEST_CASE\\n\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":13,"string":"13"}}},{"rowIdx":2980091,"cells":{"repo_name":{"kind":"string","value":"TaeMinPark/Facebook-Comments-Sentiment-Analyzer"},"repo_url":{"kind":"string","value":"https://github.com/TaeMinPark/Facebook-Comments-Sentiment-Analyzer"},"snapshot_id":{"kind":"string","value":"f1471db0c0d3770456a7c0d1d61c4933d476ca80"},"revision_id":{"kind":"string","value":"de3cacc5f35a12b6853b58880127cd14b07c8b43"},"directory_id":{"kind":"string","value":"1c64a4967e2ad2c3de269ca845e6c38ec5f7ca7e"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2021-09-05T02:58:50.147616","string":"2021-09-05T02:58:50.147616"},"revision_date":{"kind":"timestamp","value":"2018-01-23T20:04:00","string":"2018-01-23T20:04:00"},"committer_date":{"kind":"timestamp","value":"2018-01-23T20:04:00","string":"2018-01-23T20:04:00"},"github_id":{"kind":"number","value":118661920,"string":"118,661,920"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.5743769407272339,"alphanum_fraction":0.5957943797111511,"avg_line_length":25.204082489013672,"blob_id":"e848388224d0a3449dac62aa41981a3a9aa2de7c","content_id":"bdfd55e593e6c97831be8acf4afac10ec6b1140d","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2592,"license_type":"no_license","max_line_length":122,"num_lines":98,"path":"/doc2vec.py","repo_name":"TaeMinPark/Facebook-Comments-Sentiment-Analyzer","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n__author__ = 'Min'\n\n\"\"\"\n\nDoc2Vec utilities.\n\nRequires pre-trained model\n\n\"\"\"\n\nfrom konlpy.tag import Twitter # To morphologic analyze\nfrom gensim.models import Doc2Vec\nimport nltk\n\n\ntwitter = Twitter()\n\n\ndef tokenize(doc):\n \"\"\"\n Tokenize document\n\n ex) 가다/동사\n :param doc: document to tokenize\n :return: tokenized document array\n \"\"\"\n return ['/'.join(twit) for twit in twitter.pos(doc, norm=True, stem=True)]\n\n\ndef load_doc2vec_model(path):\n \"\"\"\n load pre-trained doc2vec model\n :param path: path of pre-trained doc2vec model\n :return: doc2vec object\n \"\"\"\n # load train data\n return Doc2Vec.load(path)\n\n\ndef analyze_single_comment(model, tokenized_comment):\n \"\"\"\n analyze single comment if this is positive or negative.\n\n :param model: doc2vec model\n :param tokenized_comment: comment to analyze\n :return: result. '0': Negative, '1': Positive\n \"\"\"\n new_vector = model.infer_vector(tokenized_comment)\n sims = model.docvecs.most_similar([new_vector])\n return sims[0][0]\n\n\ndef analyze_comments(model, comments):\n \"\"\"\n analyze if this comments are positive or negative. And return results.\n\n :param model: doc2vec model\n :param comments: comments to analyze\n :return: result dictionary. ex)\n\n {\n 'positive': {'count': 3, \"most_common_words\": [('./Punctuation', 68630), ('영화/Noun', 51365), ('하다/Verb', 50281)]},\n 'negative': {'count': 2, \"most_common_words\": [('./Punctuation', 68630), ('영화/Noun', 51365), ('하다/Verb', 50281)]}\n }\n \"\"\"\n negative_words_tokens = []\n positive_words_tokens = []\n positive_count = 0\n negative_count = 0\n\n for comment in comments:\n tokenized_comment = tokenize(comment)\n result = analyze_single_comment(model, tokenized_comment)\n if result == '0':\n # negative\n negative_count += 1\n for token in tokenized_comment:\n negative_words_tokens.append(token)\n\n else:\n # positive\n positive_count += 1\n for token in tokenized_comment:\n positive_words_tokens.append(token)\n\n return {\n 'positive':\n {\n 'count': positive_count,\n 'most_common_words': nltk.Text(positive_words_tokens, name='NMSC').vocab().most_common(10)\n },\n 'negative':\n {\n 'count': negative_count,\n 'most_common_words': nltk.Text(negative_words_tokens, name='NMSC').vocab().most_common(10)\n }\n }\n"},{"alpha_fraction":0.6590805649757385,"alphanum_fraction":0.6777423620223999,"avg_line_length":27.179487228393555,"blob_id":"cf769023dc569b4b8abcc4e866d91aeeac629d7e","content_id":"ca58403a3515678c3600e3189e88872074bb83d7","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2197,"license_type":"no_license","max_line_length":120,"num_lines":78,"path":"/doc2vec_train.py","repo_name":"TaeMinPark/Facebook-Comments-Sentiment-Analyzer","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n__author__ = 'Min'\n\n\"\"\"\n\ntrain and save Doc2Vec model\n\n\"\"\"\n\nfrom collections import namedtuple\nfrom gensim.models import doc2vec\nfrom konlpy.tag import Twitter\nimport multiprocessing\n\ntwitter = Twitter()\nTaggedDocument = namedtuple('TaggedDocument', 'words tags') # taggeddocument to train doc2vec. (document, (pos or neg))\n\n\ndef read_data(file_name):\n \"\"\"\n read data from file\n :param file_name: name of file\n :return: array of each line. each lines are splitted by tab.\n \"\"\"\n with open(file_name, 'r') as file_obj:\n data = [line.split('\\t') for line in file_obj.read().splitlines()]\n return data\n\n\ndef tokenize(doc):\n \"\"\"\n tokenize words\n\n :param doc: document to tokenize\n :return: tokenized array\n \"\"\"\n return ['/'.join(twit) for twit in twitter.pos(doc, norm=True, stem=True)]\n\n\ndef get_tagged_documents(data):\n \"\"\"\n tokenize and return data in format of tagged document which need to train doc2vec.\n :param data: data to train.\n :return: toakenized and taggeddocument data\n \"\"\"\n return [TaggedDocument(tokenize(row[1]), [row[2]]) for row in data[1:]]\n\ncores = multiprocessing.cpu_count()\n\nvector_size = 300\nwindow_size = 8\ntrain_epoch = 100\nmin_count = 5\nis_dm = 1\nseed_num = 1234\niteration_count = 10\nworkers_count = cores # workers are count of ores\n\n\ndata = read_data('data/ratings_train.txt')\ntagged_train_docs = get_tagged_documents(data)\n\n# doc2vec setup\nprint('doc2vec setup')\ndoc_vectorizer = doc2vec.Doc2Vec(size=vector_size, alpha=0.025, min_alpha=0.025, window=window_size,\n min_count=min_count, dm=is_dm, seed=seed_num, iter=iteration_count,\n workers=workers_count, hs=1)\ndoc_vectorizer.build_vocab(tagged_train_docs)\n\nprint('start training')\nfor epoch in range(iteration_count):\n doc_vectorizer.train(tagged_train_docs, total_examples=doc_vectorizer.corpus_count, epochs=iteration_count)\n doc_vectorizer.alpha -= 0.002\n doc_vectorizer.min_alpha = doc_vectorizer.alpha\n print('epoch' + str(epoch) + \" Finished\")\n\ndoc_vectorizer.save('models/doc2vec_dm{}.model'.format(str(is_dm))) # save model\nprint('finished.')"},{"alpha_fraction":0.7129186391830444,"alphanum_fraction":0.7368420958518982,"avg_line_length":22.22222137451172,"blob_id":"e2c2d515406b2cd4978cef0ff9f37fd4251f3abc","content_id":"8a73e5027401d54baa0082d953ad9fbf71615343","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":418,"license_type":"no_license","max_line_length":75,"num_lines":18,"path":"/global_objects.py","repo_name":"TaeMinPark/Facebook-Comments-Sentiment-Analyzer","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n__author__ = 'Min'\n\n\"\"\"\n\nglobal objects which requires throughout entire program\n\nFlask application for routing and doc2vec model\n\n\"\"\"\n\nfrom flask import Flask\nfrom doc2vec import load_doc2vec_model\n\nflask_application = Flask(__name__) # flask application\nprint('loading doc2vec model')\ndoc2vec_model = load_doc2vec_model('models/doc2vec.model') # doc2vec model\nprint('loaded doc2vec model')\n"},{"alpha_fraction":0.6263952851295471,"alphanum_fraction":0.6290216445922852,"avg_line_length":28.86274528503418,"blob_id":"cffcbe817c532a5f19ffed2bd1b98c72c8c56aa7","content_id":"657b1d13d95af5ca2f60eb86c399a75afd8ec76c","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1523,"license_type":"no_license","max_line_length":81,"num_lines":51,"path":"/comments.py","repo_name":"TaeMinPark/Facebook-Comments-Sentiment-Analyzer","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n__author__ = 'Min'\n\n\"\"\"\n\nFunctions that requires to download comments from facebook graph API.\n\nFacebook access token, post ID, and user ID of the post should be given.\n\nYou can get a token from here: https://developers.facebook.com/tools/explorer/\n\n\"\"\"\n\nimport requests\n\nGRAPH_API_VERSION = 'v2.11'\n\n\ndef get_comments(access_token, post_user_id, post_id):\n \"\"\"\n get comments from a facebook post until there is no more comments left\n\n :param access_token: access token to call graph api\n :param post_user_id: facebook user id of the post\n :param post_id: facebook post id\n :return: comments array\n \"\"\"\n\n request_url = 'https://graph.facebook.com/{}/{}_{}/comments?access_token={}'\\\n .format(GRAPH_API_VERSION, post_user_id, post_id, access_token)\n request_obj = requests.get(request_url)\n\n comments = []\n while True:\n request_data = request_obj.json() # json to arrays\n\n # if error\n if \"error\" in request_obj:\n raise Exception(request_data['error']['message'])\n\n for comment in request_data['data']:\n # line break to a single tab\n message = comment['message'].replace('\\n', '\\t')\n comments.append(message)\n\n # more comments?\n if 'paging' in request_data and 'next' in request_data['paging']:\n request_obj = requests.get(request_data['paging']['next'])\n else:\n # return comments when there is no more comments left\n return comments\n"},{"alpha_fraction":0.5733944773674011,"alphanum_fraction":0.6009174585342407,"avg_line_length":13.533333778381348,"blob_id":"f6ca48bf2a28a7c253ef0d1b51a709d6c7dd95de","content_id":"6a7707ff0e8bd9f66ddf98a3d3dc304d7e76e1c5","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":218,"license_type":"no_license","max_line_length":60,"num_lines":15,"path":"/__init__.py","repo_name":"TaeMinPark/Facebook-Comments-Sentiment-Analyzer","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n__author__ = 'Min'\n\n\"\"\"\n\nfacebook comments sentiment analyzer using Doc2Vec\n\n\n\n\"\"\"\nfrom routes import *\n\n\nif __name__ == '__main__':\n flask_application.run(host='0.0.0.0') # run application\n"},{"alpha_fraction":0.6266433000564575,"alphanum_fraction":0.6301490068435669,"avg_line_length":31.628570556640625,"blob_id":"fbe1e9682811490e92349312c2f7e4e92c3dcf24","content_id":"63f4ce2dccfe1d264716b50cb5a372fe4a3337e3","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1141,"license_type":"no_license","max_line_length":106,"num_lines":35,"path":"/routes.py","repo_name":"TaeMinPark/Facebook-Comments-Sentiment-Analyzer","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n__author__ = 'Min'\n\n\"\"\"\n\nWeb routing using flask framework\n\n\"\"\"\n\nfrom global_objects import flask_application, doc2vec_model\nfrom flask import render_template, request\nfrom comments import get_comments\nfrom doc2vec import analyze_comments\n\n\n@flask_application.route('/', methods=[\"GET\"])\ndef index():\n return render_template('index.html')\n\n\n@flask_application.route('/analyze', methods=['POST'])\ndef analyze():\n access_token = request.form['token']\n post_user_id = request.form['post_user_id']\n post_id = request.form['post_id']\n\n comments = get_comments(access_token, post_user_id, post_id)\n analyze_result = analyze_comments(doc2vec_model, comments)\n\n return render_template('analyze.html',\n positive_count = analyze_result['positive']['count'],\n negative_count = analyze_result['negative']['count'],\n positive_most_frequent_words = analyze_result['positive']['most_common_words'],\n negative_most_frequent_words = analyze_result['negative']['most_common_words']\n )"}],"string":"[\n {\n \"alpha_fraction\": 0.5743769407272339,\n \"alphanum_fraction\": 0.5957943797111511,\n \"avg_line_length\": 25.204082489013672,\n \"blob_id\": \"e848388224d0a3449dac62aa41981a3a9aa2de7c\",\n \"content_id\": \"bdfd55e593e6c97831be8acf4afac10ec6b1140d\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2592,\n \"license_type\": \"no_license\",\n \"max_line_length\": 122,\n \"num_lines\": 98,\n \"path\": \"/doc2vec.py\",\n \"repo_name\": \"TaeMinPark/Facebook-Comments-Sentiment-Analyzer\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n__author__ = 'Min'\\n\\n\\\"\\\"\\\"\\n\\nDoc2Vec utilities.\\n\\nRequires pre-trained model\\n\\n\\\"\\\"\\\"\\n\\nfrom konlpy.tag import Twitter # To morphologic analyze\\nfrom gensim.models import Doc2Vec\\nimport nltk\\n\\n\\ntwitter = Twitter()\\n\\n\\ndef tokenize(doc):\\n \\\"\\\"\\\"\\n Tokenize document\\n\\n ex) 가다/동사\\n :param doc: document to tokenize\\n :return: tokenized document array\\n \\\"\\\"\\\"\\n return ['/'.join(twit) for twit in twitter.pos(doc, norm=True, stem=True)]\\n\\n\\ndef load_doc2vec_model(path):\\n \\\"\\\"\\\"\\n load pre-trained doc2vec model\\n :param path: path of pre-trained doc2vec model\\n :return: doc2vec object\\n \\\"\\\"\\\"\\n # load train data\\n return Doc2Vec.load(path)\\n\\n\\ndef analyze_single_comment(model, tokenized_comment):\\n \\\"\\\"\\\"\\n analyze single comment if this is positive or negative.\\n\\n :param model: doc2vec model\\n :param tokenized_comment: comment to analyze\\n :return: result. '0': Negative, '1': Positive\\n \\\"\\\"\\\"\\n new_vector = model.infer_vector(tokenized_comment)\\n sims = model.docvecs.most_similar([new_vector])\\n return sims[0][0]\\n\\n\\ndef analyze_comments(model, comments):\\n \\\"\\\"\\\"\\n analyze if this comments are positive or negative. And return results.\\n\\n :param model: doc2vec model\\n :param comments: comments to analyze\\n :return: result dictionary. ex)\\n\\n {\\n 'positive': {'count': 3, \\\"most_common_words\\\": [('./Punctuation', 68630), ('영화/Noun', 51365), ('하다/Verb', 50281)]},\\n 'negative': {'count': 2, \\\"most_common_words\\\": [('./Punctuation', 68630), ('영화/Noun', 51365), ('하다/Verb', 50281)]}\\n }\\n \\\"\\\"\\\"\\n negative_words_tokens = []\\n positive_words_tokens = []\\n positive_count = 0\\n negative_count = 0\\n\\n for comment in comments:\\n tokenized_comment = tokenize(comment)\\n result = analyze_single_comment(model, tokenized_comment)\\n if result == '0':\\n # negative\\n negative_count += 1\\n for token in tokenized_comment:\\n negative_words_tokens.append(token)\\n\\n else:\\n # positive\\n positive_count += 1\\n for token in tokenized_comment:\\n positive_words_tokens.append(token)\\n\\n return {\\n 'positive':\\n {\\n 'count': positive_count,\\n 'most_common_words': nltk.Text(positive_words_tokens, name='NMSC').vocab().most_common(10)\\n },\\n 'negative':\\n {\\n 'count': negative_count,\\n 'most_common_words': nltk.Text(negative_words_tokens, name='NMSC').vocab().most_common(10)\\n }\\n }\\n\"\n },\n {\n \"alpha_fraction\": 0.6590805649757385,\n \"alphanum_fraction\": 0.6777423620223999,\n \"avg_line_length\": 27.179487228393555,\n \"blob_id\": \"cf769023dc569b4b8abcc4e866d91aeeac629d7e\",\n \"content_id\": \"ca58403a3515678c3600e3189e88872074bb83d7\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2197,\n \"license_type\": \"no_license\",\n \"max_line_length\": 120,\n \"num_lines\": 78,\n \"path\": \"/doc2vec_train.py\",\n \"repo_name\": \"TaeMinPark/Facebook-Comments-Sentiment-Analyzer\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n__author__ = 'Min'\\n\\n\\\"\\\"\\\"\\n\\ntrain and save Doc2Vec model\\n\\n\\\"\\\"\\\"\\n\\nfrom collections import namedtuple\\nfrom gensim.models import doc2vec\\nfrom konlpy.tag import Twitter\\nimport multiprocessing\\n\\ntwitter = Twitter()\\nTaggedDocument = namedtuple('TaggedDocument', 'words tags') # taggeddocument to train doc2vec. (document, (pos or neg))\\n\\n\\ndef read_data(file_name):\\n \\\"\\\"\\\"\\n read data from file\\n :param file_name: name of file\\n :return: array of each line. each lines are splitted by tab.\\n \\\"\\\"\\\"\\n with open(file_name, 'r') as file_obj:\\n data = [line.split('\\\\t') for line in file_obj.read().splitlines()]\\n return data\\n\\n\\ndef tokenize(doc):\\n \\\"\\\"\\\"\\n tokenize words\\n\\n :param doc: document to tokenize\\n :return: tokenized array\\n \\\"\\\"\\\"\\n return ['/'.join(twit) for twit in twitter.pos(doc, norm=True, stem=True)]\\n\\n\\ndef get_tagged_documents(data):\\n \\\"\\\"\\\"\\n tokenize and return data in format of tagged document which need to train doc2vec.\\n :param data: data to train.\\n :return: toakenized and taggeddocument data\\n \\\"\\\"\\\"\\n return [TaggedDocument(tokenize(row[1]), [row[2]]) for row in data[1:]]\\n\\ncores = multiprocessing.cpu_count()\\n\\nvector_size = 300\\nwindow_size = 8\\ntrain_epoch = 100\\nmin_count = 5\\nis_dm = 1\\nseed_num = 1234\\niteration_count = 10\\nworkers_count = cores # workers are count of ores\\n\\n\\ndata = read_data('data/ratings_train.txt')\\ntagged_train_docs = get_tagged_documents(data)\\n\\n# doc2vec setup\\nprint('doc2vec setup')\\ndoc_vectorizer = doc2vec.Doc2Vec(size=vector_size, alpha=0.025, min_alpha=0.025, window=window_size,\\n min_count=min_count, dm=is_dm, seed=seed_num, iter=iteration_count,\\n workers=workers_count, hs=1)\\ndoc_vectorizer.build_vocab(tagged_train_docs)\\n\\nprint('start training')\\nfor epoch in range(iteration_count):\\n doc_vectorizer.train(tagged_train_docs, total_examples=doc_vectorizer.corpus_count, epochs=iteration_count)\\n doc_vectorizer.alpha -= 0.002\\n doc_vectorizer.min_alpha = doc_vectorizer.alpha\\n print('epoch' + str(epoch) + \\\" Finished\\\")\\n\\ndoc_vectorizer.save('models/doc2vec_dm{}.model'.format(str(is_dm))) # save model\\nprint('finished.')\"\n },\n {\n \"alpha_fraction\": 0.7129186391830444,\n \"alphanum_fraction\": 0.7368420958518982,\n \"avg_line_length\": 22.22222137451172,\n \"blob_id\": \"e2c2d515406b2cd4978cef0ff9f37fd4251f3abc\",\n \"content_id\": \"8a73e5027401d54baa0082d953ad9fbf71615343\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 418,\n \"license_type\": \"no_license\",\n \"max_line_length\": 75,\n \"num_lines\": 18,\n \"path\": \"/global_objects.py\",\n \"repo_name\": \"TaeMinPark/Facebook-Comments-Sentiment-Analyzer\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n__author__ = 'Min'\\n\\n\\\"\\\"\\\"\\n\\nglobal objects which requires throughout entire program\\n\\nFlask application for routing and doc2vec model\\n\\n\\\"\\\"\\\"\\n\\nfrom flask import Flask\\nfrom doc2vec import load_doc2vec_model\\n\\nflask_application = Flask(__name__) # flask application\\nprint('loading doc2vec model')\\ndoc2vec_model = load_doc2vec_model('models/doc2vec.model') # doc2vec model\\nprint('loaded doc2vec model')\\n\"\n },\n {\n \"alpha_fraction\": 0.6263952851295471,\n \"alphanum_fraction\": 0.6290216445922852,\n \"avg_line_length\": 28.86274528503418,\n \"blob_id\": \"cffcbe817c532a5f19ffed2bd1b98c72c8c56aa7\",\n \"content_id\": \"657b1d13d95af5ca2f60eb86c399a75afd8ec76c\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1523,\n \"license_type\": \"no_license\",\n \"max_line_length\": 81,\n \"num_lines\": 51,\n \"path\": \"/comments.py\",\n \"repo_name\": \"TaeMinPark/Facebook-Comments-Sentiment-Analyzer\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n__author__ = 'Min'\\n\\n\\\"\\\"\\\"\\n\\nFunctions that requires to download comments from facebook graph API.\\n\\nFacebook access token, post ID, and user ID of the post should be given.\\n\\nYou can get a token from here: https://developers.facebook.com/tools/explorer/\\n\\n\\\"\\\"\\\"\\n\\nimport requests\\n\\nGRAPH_API_VERSION = 'v2.11'\\n\\n\\ndef get_comments(access_token, post_user_id, post_id):\\n \\\"\\\"\\\"\\n get comments from a facebook post until there is no more comments left\\n\\n :param access_token: access token to call graph api\\n :param post_user_id: facebook user id of the post\\n :param post_id: facebook post id\\n :return: comments array\\n \\\"\\\"\\\"\\n\\n request_url = 'https://graph.facebook.com/{}/{}_{}/comments?access_token={}'\\\\\\n .format(GRAPH_API_VERSION, post_user_id, post_id, access_token)\\n request_obj = requests.get(request_url)\\n\\n comments = []\\n while True:\\n request_data = request_obj.json() # json to arrays\\n\\n # if error\\n if \\\"error\\\" in request_obj:\\n raise Exception(request_data['error']['message'])\\n\\n for comment in request_data['data']:\\n # line break to a single tab\\n message = comment['message'].replace('\\\\n', '\\\\t')\\n comments.append(message)\\n\\n # more comments?\\n if 'paging' in request_data and 'next' in request_data['paging']:\\n request_obj = requests.get(request_data['paging']['next'])\\n else:\\n # return comments when there is no more comments left\\n return comments\\n\"\n },\n {\n \"alpha_fraction\": 0.5733944773674011,\n \"alphanum_fraction\": 0.6009174585342407,\n \"avg_line_length\": 13.533333778381348,\n \"blob_id\": \"f6ca48bf2a28a7c253ef0d1b51a709d6c7dd95de\",\n \"content_id\": \"6a7707ff0e8bd9f66ddf98a3d3dc304d7e76e1c5\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 218,\n \"license_type\": \"no_license\",\n \"max_line_length\": 60,\n \"num_lines\": 15,\n \"path\": \"/__init__.py\",\n \"repo_name\": \"TaeMinPark/Facebook-Comments-Sentiment-Analyzer\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n__author__ = 'Min'\\n\\n\\\"\\\"\\\"\\n\\nfacebook comments sentiment analyzer using Doc2Vec\\n\\n\\n\\n\\\"\\\"\\\"\\nfrom routes import *\\n\\n\\nif __name__ == '__main__':\\n flask_application.run(host='0.0.0.0') # run application\\n\"\n },\n {\n \"alpha_fraction\": 0.6266433000564575,\n \"alphanum_fraction\": 0.6301490068435669,\n \"avg_line_length\": 31.628570556640625,\n \"blob_id\": \"fbe1e9682811490e92349312c2f7e4e92c3dcf24\",\n \"content_id\": \"63f4ce2dccfe1d264716b50cb5a372fe4a3337e3\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1141,\n \"license_type\": \"no_license\",\n \"max_line_length\": 106,\n \"num_lines\": 35,\n \"path\": \"/routes.py\",\n \"repo_name\": \"TaeMinPark/Facebook-Comments-Sentiment-Analyzer\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n__author__ = 'Min'\\n\\n\\\"\\\"\\\"\\n\\nWeb routing using flask framework\\n\\n\\\"\\\"\\\"\\n\\nfrom global_objects import flask_application, doc2vec_model\\nfrom flask import render_template, request\\nfrom comments import get_comments\\nfrom doc2vec import analyze_comments\\n\\n\\n@flask_application.route('/', methods=[\\\"GET\\\"])\\ndef index():\\n return render_template('index.html')\\n\\n\\n@flask_application.route('/analyze', methods=['POST'])\\ndef analyze():\\n access_token = request.form['token']\\n post_user_id = request.form['post_user_id']\\n post_id = request.form['post_id']\\n\\n comments = get_comments(access_token, post_user_id, post_id)\\n analyze_result = analyze_comments(doc2vec_model, comments)\\n\\n return render_template('analyze.html',\\n positive_count = analyze_result['positive']['count'],\\n negative_count = analyze_result['negative']['count'],\\n positive_most_frequent_words = analyze_result['positive']['most_common_words'],\\n negative_most_frequent_words = analyze_result['negative']['most_common_words']\\n )\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":6,"string":"6"}}},{"rowIdx":2980092,"cells":{"repo_name":{"kind":"string","value":"qinzhewudao/GraduationProject"},"repo_url":{"kind":"string","value":"https://github.com/qinzhewudao/GraduationProject"},"snapshot_id":{"kind":"string","value":"84c0f34e7022969bdbaa827208f3b70f7e62e1bb"},"revision_id":{"kind":"string","value":"1493cb45f0cc385b1dc0f2075b5db75011fa19cc"},"directory_id":{"kind":"string","value":"1b1b0de15839a189d994d0c0a2d6931289f87a33"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2020-03-06T21:30:20.614439","string":"2020-03-06T21:30:20.614439"},"revision_date":{"kind":"timestamp","value":"2018-03-28T10:35:00","string":"2018-03-28T10:35:00"},"committer_date":{"kind":"timestamp","value":"2018-03-28T10:35:00","string":"2018-03-28T10:35:00"},"github_id":{"kind":"number","value":127079028,"string":"127,079,028"},"star_events_count":{"kind":"number","value":1,"string":"1"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.6519396305084229,"alphanum_fraction":0.6526580452919006,"avg_line_length":31,"blob_id":"753a68dba23fddda6bd0097672a9618e6871c7c4","content_id":"c00dbc2117a9f1e827804551df244df216f78d8f","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Java","length_bytes":2784,"license_type":"no_license","max_line_length":84,"num_lines":87,"path":"/src/main/java/core/simulator/Simulator.java","repo_name":"qinzhewudao/GraduationProject","src_encoding":"UTF-8","text":"package core.simulator;\n\nimport core.adapt.AccessMethod.PartitionSplit;\nimport core.adapt.Query;\nimport core.adapt.iterator.RepartitionIterator;\nimport core.adapt.opt.Optimizer;\nimport core.common.globals.Globals;\nimport core.utils.ConfUtils;\nimport core.utils.CuratorUtils;\nimport core.utils.HDFSUtils;\nimport org.apache.curator.framework.CuratorFramework;\nimport org.apache.hadoop.fs.FileSystem;\n\npublic class Simulator {\n\tOptimizer opt;\n\n\tConfUtils cfg;\n\n\tString simName;\n\n\tString dataset;\n\n\tQuery[] queries;\n\n\tpublic void setUp(ConfUtils cfg, String simName, String dataset, Query[] queries) {\n\t\tthis.cfg = cfg;\n\t\tthis.simName = simName;\n\t\tthis.dataset = dataset;\n\t\tthis.queries = queries;\n\n\t\tFileSystem fs = HDFSUtils.getFSByHadoopHome(cfg.getHADOOP_HOME());\n\n\t\tHDFSUtils.deleteFile(fs,\n\t\t\t\tcfg.getHDFS_WORKING_DIR() + \"/\" + simName, true);\n\t\tHDFSUtils.safeCreateDirectory(fs, cfg.getHDFS_WORKING_DIR() + \"/\" + simName);\n\n\t\tCuratorFramework client = CuratorUtils.createAndStartClient(\n\t\t\t\tcfg.getZOOKEEPER_HOSTS());\n\t\tCuratorUtils.deleteAll(client, \"/\", \"partition-\");\n\t\tCuratorUtils.stopClient(client);\n\n\t\tHDFSUtils.copyFile(fs, cfg.getHDFS_WORKING_DIR() + \"/\" + dataset + \"/\" + \"index\",\n\t\t\t\tcfg.getHDFS_WORKING_DIR() + \"/\" + simName + \"/\" + \"index\",\n\t\t\t\tcfg.getHDFS_REPLICATION_FACTOR());\n\t\tHDFSUtils.copyFile(fs, cfg.getHDFS_WORKING_DIR() + \"/\" + dataset + \"/\" + \"sample\",\n\t\t\t\tcfg.getHDFS_WORKING_DIR() + \"/\" + simName + \"/\" + \"sample\",\n\t\t\t\tcfg.getHDFS_REPLICATION_FACTOR());\n\t\tHDFSUtils.copyFile(fs, cfg.getHDFS_WORKING_DIR() + \"/\" + dataset + \"/\" + \"info\",\n\t\t\t\tcfg.getHDFS_WORKING_DIR() + \"/\" + simName + \"/\" + \"info\",\n\t\t\t\tcfg.getHDFS_REPLICATION_FACTOR());\n\n Globals.loadTableInfo(simName, cfg.getHDFS_WORKING_DIR(), fs);\n\n\t\topt = new Optimizer(cfg);\n\t\topt.loadIndex(Globals.getTableInfo(simName));\n\t}\n\n\tpublic void runOld() {\n\t\tfor (int i=0; i<queries.length; i++) {\n\t\t\tQuery q = queries[i];\n\t\t\tq.setTable(simName);\n PartitionSplit[] splits = opt.buildPlan(q);\n\n // Check if there was an index update. If yes, we need\n // to reload the index.\n for (PartitionSplit p: splits) {\n if (p.getIterator().getClass() == RepartitionIterator.class) {\n System.out.println(\"INFO: Reloading index ..\");\n opt.loadIndex(Globals.getTableInfo(simName));\n break;\n }\n }\n\t\t}\n\t}\n\n public void run() {\n\t\tfor (int i=0; i<queries.length; i++) {\n\t\t\tQuery q = queries[i];\n\t\t\tq.setTable(simName);\n PartitionSplit[] splits = opt.buildMultiPredicatePlan(q);\n\n\t\t\t// When using the multi-predicate plan builder, the rt gets dirtied\n\t\t\t// We need to reload for every query.\n opt.loadIndex(Globals.getTableInfo(simName));\n\t\t}\n\t}\n}\n"},{"alpha_fraction":0.6158192157745361,"alphanum_fraction":0.6629002094268799,"avg_line_length":28.44444465637207,"blob_id":"732ae9d701cb6603c00ded293c1cad77ea905884","content_id":"b752232593eb481e6222018d2d8a13ecf394127b","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":531,"license_type":"no_license","max_line_length":96,"num_lines":18,"path":"/data/gen_simple.py","repo_name":"qinzhewudao/GraduationProject","src_encoding":"UTF-8","text":"\"\"\"\nUsed to generate the simple dataset for testing.\nGenerates a dataset with 1000 tuples, 2 attributes A & B.\nEach attribute takes values randomly from 1 to 1000.\n\"\"\"\n\nimport os\nimport random\n\nif __name__ == \"__main__\":\n dir_path = os.path.dirname(os.path.realpath(__file__))\n os.chdir(dir_path)\n if not os.path.isdir(\"simple\"):\n os.system(\"mkdir simple\")\n\n os.chdir(\"simple\")\n rands = [\"%d|%d\\n\" % (random.randint(1,1000), random.randint(1,1000)) for i in xrange(0,1000)]\n open(\"simple.txt\", \"w\").write(\"\".join(rands))\n\n"},{"alpha_fraction":0.6338028311729431,"alphanum_fraction":0.6338028311729431,"avg_line_length":9.142857551574707,"blob_id":"5632a3bca2cdd260af4b6978fde9de96d6803c95","content_id":"6b889e20f2cb71f9705a79d22c44a77d7097c842","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Java","length_bytes":71,"license_type":"no_license","max_line_length":28,"num_lines":7,"path":"/src/test/java/core/adapt/spark/TPCHQueryTest.java","repo_name":"qinzhewudao/GraduationProject","src_encoding":"UTF-8","text":"package core.adapt.spark;\n\n/**\n * .\n */\npublic class TPCHQueryTest {\n}\n"},{"alpha_fraction":0.5169643759727478,"alphanum_fraction":0.5368112921714783,"avg_line_length":36.521278381347656,"blob_id":"e6d74870996e7e37f769d3b10a25b5ea18170d5b","content_id":"8600a55e55dd6bee64c0c3e7ae012a41fd634493","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Java","length_bytes":21204,"license_type":"no_license","max_line_length":134,"num_lines":564,"path":"/src/main/java/perf/benchmark/TPCHSparkJoinWorkload.java","repo_name":"qinzhewudao/GraduationProject","src_encoding":"UTF-8","text":"package perf.benchmark;\n\nimport core.utils.ConfUtils;\nimport core.utils.TypeUtils.SimpleDate;\nimport org.apache.hadoop.mapred.FileInputFormat;\nimport org.apache.spark.SparkConf;\nimport org.apache.spark.api.java.JavaSparkContext;\nimport org.apache.spark.sql.DataFrame;\nimport org.apache.spark.sql.SQLContext;\n\nimport java.util.Calendar;\nimport java.util.GregorianCalendar;\nimport java.util.Random;\n\n/**\n * Created by ylu on 1/4/16.\n */\n\n\npublic class TPCHSparkJoinWorkload {\n\n private ConfUtils cfg;\n\n private String lineitem = \"lineitem\", orders = \"orders\", customer = \"customer\", supplier = \"supplier\", part = \"part\";\n\n private static String[] mktSegmentVals = new\n String[]{\"AUTOMOBILE\", \"BUILDING\", \"FURNITURE\", \"HOUSEHOLD\", \"MACHINERY\"};\n private static String[] regionNameVals = new\n String[]{\"AFRICA\", \"AMERICA\", \"ASIA\", \"EUROPE\", \"MIDDLE EAST\"};\n private static String[] partTypeVals = new\n String[]{\"BRASS\", \"COPPER\", \"NICKEL\", \"STEEL\", \"TIN\"};\n private static String[] shipModeVals = new\n String[]{\"AIR\", \"FOB\", \"MAIL\", \"RAIL\", \"REG AIR\", \"SHIP\", \"TRUCK\"};\n\n\n private int method;\n private int numQueries;\n\n private Random rand;\n\n private JavaSparkContext ctx;\n private SQLContext sqlContext;\n\n public void setUp() {\n cfg = new ConfUtils(BenchmarkSettings.conf);\n rand = new Random();\n // Making things more deterministic.\n rand.setSeed(0);\n\n SparkConf sconf = new SparkConf().setMaster(cfg.getSPARK_MASTER())\n .setAppName(this.getClass().getName())\n .setSparkHome(cfg.getSPARK_HOME())\n .setJars(new String[]{cfg.getSPARK_APPLICATION_JAR()})\n .set(\"spark.hadoop.cloneConf\", \"false\")\n .set(\"spark.executor.memory\", cfg.getSPARK_EXECUTOR_MEMORY())\n .set(\"spark.driver.memory\", cfg.getSPARK_DRIVER_MEMORY())\n .set(\"spark.task.cpus\", cfg.getSPARK_TASK_CPUS());\n\n try {\n sconf.registerKryoClasses(new Class<?>[]{\n Class.forName(\"org.apache.hadoop.io.LongWritable\"),\n Class.forName(\"org.apache.hadoop.io.Text\")\n });\n } catch (ClassNotFoundException e) {\n e.printStackTrace();\n }\n\n ctx = new JavaSparkContext(sconf);\n ctx.hadoopConfiguration().setBoolean(\n FileInputFormat.INPUT_DIR_RECURSIVE, true);\n ctx.hadoopConfiguration().set(\"fs.hdfs.impl\",\n org.apache.hadoop.hdfs.DistributedFileSystem.class.getName());\n\n sqlContext = new SQLContext(ctx);\n\n // Create customer table\n String customerPath = cfg.getHDFS_WORKING_DIR() + \"/\" + customer + \"/data\";\n\n sqlContext.sql(\"CREATE TEMPORARY TABLE customer (c_custkey int, c_name string, c_address string, \"\n + \"c_phone string, c_acctbal double, c_mktsegment string , c_nation string, c_region string) \"\n + \"USING com.databricks.spark.csv \"\n + \"OPTIONS (path \\\"\" + customerPath + \"\\\", header \\\"false\\\", delimiter \\\"|\\\")\");\n\n // Create order table.\n String ordersPath = cfg.getHDFS_WORKING_DIR() + \"/\" + orders + \"/data\";\n\n sqlContext.sql(\"CREATE TEMPORARY TABLE orders (o_orderkey long, o_custkey int, \"\n + \"o_orderstatus string, o_totalprice double, o_orderdate string, \"\n + \"o_orderpriority string, o_clerk string, o_shippriority int) \"\n + \"USING com.databricks.spark.csv \"\n + \"OPTIONS (path \\\"\" + ordersPath + \"\\\", header \\\"false\\\", delimiter \\\"|\\\")\");\n\n\n // Create lineitem table.\n String lineitemPath = cfg.getHDFS_WORKING_DIR() + \"/\" + lineitem + \"/data\";\n\n sqlContext.sql(\"CREATE TEMPORARY TABLE lineitem (l_orderkey long, l_partkey int, l_suppkey int, \"\n + \"l_linenumber int, l_quantity double, l_extendedprice double, l_discount double, \"\n + \"l_tax double, l_returnflag string, l_linestatus string, l_shipdate string, \"\n + \"l_commitdate string, l_receiptdate string, l_shipinstruct string, l_shipmode string) \"\n + \"USING com.databricks.spark.csv \"\n + \"OPTIONS (path \\\"\" + lineitemPath + \"\\\", header \\\"false\\\", delimiter \\\"|\\\")\");\n\n // Create supplier table.\n String supplierPath = cfg.getHDFS_WORKING_DIR() + \"/\" + supplier + \"/data\";\n\n sqlContext.sql(\"CREATE TEMPORARY TABLE supplier (s_suppkey int, s_name string, s_address string, \"\n + \"s_phone string, s_acctbal double, s_nation string, s_region string) \"\n + \"USING com.databricks.spark.csv \"\n + \"OPTIONS (path \\\"\" + supplierPath + \"\\\", header \\\"false\\\", delimiter \\\"|\\\")\");\n\n\n\n // Create path table.\n String partPath = cfg.getHDFS_WORKING_DIR() + \"/\" + part + \"/data\";\n\n sqlContext.sql(\"CREATE TEMPORARY TABLE part (p_partkey int, p_name string, p_mfgr string, p_brand string, \"\n + \"p_type string, p_size int, p_container string, p_retailprice double) \"\n + \"USING com.databricks.spark.csv \"\n + \"OPTIONS (path \\\"\" + partPath + \"\\\", header \\\"false\\\", delimiter \\\"|\\\")\");\n\n\n }\n\n\n public void loadSettings(String[] args) {\n int counter = 0;\n while (counter < args.length) {\n switch (args[counter]) {\n case \"--method\":\n method = Integer.parseInt(args[counter + 1]);\n counter += 2;\n break;\n case \"--numQueries\":\n numQueries = Integer.parseInt(args[counter + 1]);\n counter += 2;\n break;\n default:\n // Something we don't use\n counter += 2;\n break;\n }\n }\n }\n\n\n /*\n select\n count(*)\n from\n customer,\n orders,\n lineitem\n where\n c_custkey = o_custkey\n and l_orderkey = o_orderkey\n and c_mktsegment = '[SEGMENT]'\n and o_orderdate < date '[DATE]'\n and l_shipdate > date '[DATE]'\n\n (lineitem ⋈ orders) ⋈ customer\n */\n\n public void tpch3() {\n int rand_3 = rand.nextInt(mktSegmentVals.length);\n String c_mktsegment = mktSegmentVals[rand_3];\n Calendar c = new GregorianCalendar();\n int dateOffset = (int) (rand.nextFloat() * (31 + 28 + 31));\n c.set(1995, Calendar.MARCH, 01);\n c.add(Calendar.DAY_OF_MONTH, dateOffset);\n SimpleDate d3 = new SimpleDate(c.get(Calendar.YEAR),\n c.get(Calendar.MONTH), c.get(Calendar.DAY_OF_MONTH));\n\n String customerPredicate = \"c_mktsegment <= \\\"\" + c_mktsegment + \"\\\"\";\n String ordersPredicate = \"o_orderdate < \\\"\" + d3 + \"\\\"\";\n String lineitemPredicate = \"l_shipdate > \\\"\" + d3 + \"\\\"\";\n\n\n if (rand_3 > 0) {\n String c_mktsegment_prev = mktSegmentVals[rand_3 - 1];\n customerPredicate = \"c_mktsegment > \\\"\" + c_mktsegment_prev + \"\\\" and \" + customerPredicate;\n }\n\n long start = System.currentTimeMillis();\n\n System.out.println(\"SELECT * \"\n + \"FROM lineitem JOIN orders ON l_orderkey = o_orderkey JOIN customer ON o_custkey = c_custkey \"\n + \"WHERE \" + lineitemPredicate + \" and \" + ordersPredicate + \" and \" + customerPredicate);\n\n DataFrame df = sqlContext.sql(\"SELECT * \"\n + \"FROM lineitem JOIN orders ON l_orderkey = o_orderkey JOIN customer ON o_custkey = c_custkey \"\n + \"WHERE \" + lineitemPredicate + \" and \" + ordersPredicate + \" and \" + customerPredicate);\n\n long result = df.count(); // 29569\n System.out.println(\"RES: Time Taken: \" + (System.currentTimeMillis() - start) + \"; Result: \" + result);\n }\n\n /*\n select\n\t count(*)\n from\n customer,\n orders,\n lineitem,\n supplier\n where\n c_custkey = o_custkey\n and l_orderkey = o_orderkey\n and l_suppkey = s_suppkey\n and c_region = '[REGION]'\n and s_region = '[REGION]'\n and o_orderdate >= date '[DATE]'\n and o_orderdate < date '[DATE]' + interval '1' year\n\n ((customer ⋈ orders) ⋈ lineitem) ⋈ supplier\n */\n\n public void tpch5() {\n int rand_5 = rand.nextInt(regionNameVals.length);\n String r_name_5 = regionNameVals[rand_5];\n int year_5 = 1993 + rand.nextInt(5);\n SimpleDate d5_1 = new SimpleDate(year_5, 1, 1);\n SimpleDate d5_2 = new SimpleDate(year_5 + 1, 1, 1);\n\n String customerPredicate = \"c_region <= \\\"\" + r_name_5 + \"\\\"\";\n String supplierPredicate = \"s_region <= \\\"\" + r_name_5 + \"\\\"\";\n String ordersPredicate = \"o_orderdate >= \\\"\" + d5_1 + \"\\\" and o_orderdate < \\\"\" + d5_2 + \"\\\"\";\n\n if (rand_5 > 0) {\n String r_name_prev_5 = regionNameVals[rand_5 - 1];\n customerPredicate = \"c_region > \\\"\" + r_name_prev_5 + \"\\\" and \" + customerPredicate;\n supplierPredicate = \"s_region > \\\"\" + r_name_prev_5 + \"\\\" and \" + supplierPredicate;\n }\n\n long start = System.currentTimeMillis();\n\n System.out.println(\"SELECT * \"\n + \"FROM customer JOIN orders ON c_custkey = o_custkey \"\n + \"JOIN lineitem ON l_orderkey = o_orderkey \"\n + \"JOIN supplier ON l_suppkey = s_suppkey \"\n + \"WHERE \" + customerPredicate + \" and \" + ordersPredicate + \" and \" + supplierPredicate);\n\n DataFrame df = sqlContext.sql(\"SELECT * \"\n + \"FROM customer JOIN orders ON c_custkey = o_custkey \"\n + \"JOIN lineitem ON l_orderkey = o_orderkey \"\n + \"JOIN supplier ON l_suppkey = s_suppkey \"\n + \"WHERE \" + customerPredicate + \" and \" + ordersPredicate + \" and \" + supplierPredicate);\n\n long result = df.count(); // 35307\n System.out.println(\"RES: Time Taken: \" + (System.currentTimeMillis() - start) + \"; Result: \" + result);\n }\n\n /*\n select\n count(*)\n from\n lineitem\n where\n l_shipdate >= date '[DATE]'\n and l_shipdate < date '[DATE]' + interval '1' year\n and l_discount between [DISCOUNT] - 0.01 and [DISCOUNT] + 0.01\n and l_quantity < [QUANTITY];\n */\n\n public void tpch6() {\n int year_6 = 1993 + rand.nextInt(5);\n SimpleDate d6_1 = new SimpleDate(year_6, 1, 1);\n SimpleDate d6_2 = new SimpleDate(year_6 + 1, 1, 1);\n double discount = rand.nextDouble() * 0.07 + 0.02;\n double quantity = rand.nextInt(2) + 24.0;\n\n String lineitemPredicate = \"l_shipdate >= \\\"\" + d6_1 + \"\\\" and l_shipdate < \\\"\" + d6_2 + \"\\\" and \"\n + \" l_discount > \" + (discount - 0.01) + \" and l_discount <= \" + (discount + 0.01)\n + \" and l_quantity <= \" + quantity;\n\n long start = System.currentTimeMillis();\n\n System.out.println(\"SELECT * \"\n + \"FROM lineitem \"\n + \"WHERE \" + lineitemPredicate);\n\n DataFrame df = sqlContext.sql(\"SELECT * \"\n + \"FROM lineitem \"\n + \"WHERE \" + lineitemPredicate);\n\n long result = df.count(); // 83063\n System.out.println(\"RES: Time Taken: \" + (System.currentTimeMillis() - start) + \"; Result: \" + result);\n }\n\n\n /*\n select\n count(*)\n from\n part,\n lineitem,\n orders,\n customer\n where\n p_partkey = l_partkey\n and l_orderkey = o_orderkey\n and o_custkey = c_custkey\n and c_region = '[REGION]'\n and o_orderdate between date '1995-01-01' and date '1996-12-31'\n and p_type = '[TYPE]'\n\n ((lineitem ⋈ orders) ⋈ customer) ⋈ part\n */\n\n public void tpch8() {\n int rand_8_1 = rand.nextInt(regionNameVals.length);\n String r_name_8 = regionNameVals[rand_8_1];\n SimpleDate d8_1 = new SimpleDate(1995, 1, 1);\n SimpleDate d8_2 = new SimpleDate(1996, 12, 31);\n String p_type_8 = partTypeVals[rand.nextInt(partTypeVals.length)];\n\n\n String customerPredicate = \"c_region <= \\\"\" + r_name_8 + \"\\\"\";\n String ordersPredicate = \"o_orderdate >= \\\"\" + d8_1 + \"\\\" and o_orderdate < \\\"\" + d8_2 + \"\\\"\";\n String partPredicate = \"p_type = \\\"\" + p_type_8 + \"\\\"\";\n\n\n if (rand_8_1 > 0) {\n String r_name_prev_8 = regionNameVals[rand_8_1 - 1];\n customerPredicate = \"c_region > \\\"\" + r_name_prev_8 + \"\\\" and \" + customerPredicate;\n }\n\n long start = System.currentTimeMillis();\n\n System.out.println(\"SELECT * \"\n + \"FROM customer JOIN orders ON c_custkey = o_custkey \"\n + \"JOIN lineitem ON l_orderkey = o_orderkey \"\n + \"JOIN part ON l_partkey = p_partkey \"\n + \"WHERE \" + customerPredicate + \" and \" + ordersPredicate + \" and \" + partPredicate);\n\n DataFrame df = sqlContext.sql(\"SELECT * \"\n + \"FROM customer JOIN orders ON c_custkey = o_custkey \"\n + \"JOIN lineitem ON l_orderkey = o_orderkey \"\n + \"JOIN part ON l_partkey = p_partkey \"\n + \"WHERE \" + customerPredicate + \" and \" + ordersPredicate + \" and \" + partPredicate);\n\n long result = df.count(); // 0\n System.out.println(\"RES: Time Taken: \" + (System.currentTimeMillis() - start) + \"; Result: \" + result);\n }\n\n /*\n select\n count(*)\n from\n orders,\n lineitem,\n customer\n where\n l_orderkey = o_orderkey\n and c_custkey = o_custkey\n and o_orderdate >= date '[DATE]'\n and o_orderdate < date '[DATE]' + interval '3' month\n and l_returnflag = 'R'\n\n (lineitem ⋈ orders) ⋈ customer\n */\n\n\n public void tpch10() {\n String l_returnflag_10 = \"R\";\n String l_returnflag_prev_10 = \"N\";\n int year_10 = 1993;\n int monthOffset = rand.nextInt(24);\n SimpleDate d10_1 = new SimpleDate(year_10 + monthOffset / 12, monthOffset % 12 + 1, 1);\n monthOffset = monthOffset + 3;\n SimpleDate d10_2 = new SimpleDate(year_10 + monthOffset / 12, monthOffset % 12 + 1, 1);\n\n String ordersPredicate = \"o_orderdate >= \\\"\" + d10_1 + \"\\\" and o_orderdate < \\\"\" + d10_2 + \"\\\"\";\n String lineitemPredicate = \"l_returnflag <= \\\"\" + l_returnflag_10 + \"\\\" and l_returnflag > \\\"\" + l_returnflag_prev_10 + \"\\\"\";\n\n long start = System.currentTimeMillis();\n\n System.out.println(\"SELECT * \"\n + \"FROM lineitem JOIN orders ON l_orderkey = o_orderkey \"\n + \"JOIN customer ON c_custkey = o_custkey \"\n + \"WHERE \" + ordersPredicate + \" and \" + lineitemPredicate);\n\n DataFrame df = sqlContext.sql(\"SELECT * \"\n + \"FROM lineitem JOIN orders ON l_orderkey = o_orderkey \"\n + \"JOIN customer ON c_custkey = o_custkey \"\n + \"WHERE \" + ordersPredicate + \" and \" + lineitemPredicate);\n\n long result = df.count(); // 111918\n System.out.println(\"RES: Time Taken: \" + (System.currentTimeMillis() - start) + \"; Result: \" + result);\n }\n\n /*\n select\n count(*)\n from\n orders,\n lineitem\n where\n o_orderkey = l_orderkey\n and l_shipmode in ('[SHIPMODE1]', '[SHIPMODE2]')\n and l_receiptdate >= date '[DATE]'\n and l_receiptdate < date '[DATE]' + interval '1' year\n\n lineitem ⋈ orders\n */\n\n public void tpch12() {\n int rand_12 = rand.nextInt(shipModeVals.length);\n String shipmode_12 = shipModeVals[rand_12];\n int year_12 = 1993 + rand.nextInt(5);\n SimpleDate d12_1 = new SimpleDate(year_12, 1, 1);\n SimpleDate d12_2 = new SimpleDate(year_12 + 1, 1, 1);\n\n String lineitemPredicate = \"l_shipmode <= \\\"\" + shipmode_12 + \"\\\" and l_receiptdate >= \\\"\" + d12_1 + \"\\\" and \"\n + \"l_receiptdate < \\\"\" + d12_2 + \"\\\"\";\n\n if (rand_12 > 0) {\n String shipmode_prev_12 = shipModeVals[rand_12 - 1];\n lineitemPredicate = \"l_shipmode > \\\"\" + shipmode_prev_12 + \"\\\" and \" + lineitemPredicate;\n }\n\n long start = System.currentTimeMillis();\n\n System.out.println(\"SELECT * \"\n + \"FROM lineitem JOIN orders ON l_orderkey = o_orderkey \"\n + \"WHERE \" + lineitemPredicate);\n\n DataFrame df = sqlContext.sql(\"SELECT * \"\n + \"FROM lineitem JOIN orders ON l_orderkey = o_orderkey \"\n + \"WHERE \" + lineitemPredicate);\n\n long result = df.count(); // 130474\n System.out.println(\"RES: Time Taken: \" + (System.currentTimeMillis() - start) + \"; Result: \" + result);\n }\n\n /*\n select\n count(*)\n from\n lineitem,\n part\n where\n l_partkey = p_partkey\n and l_shipdate >= date '[DATE]'\n and l_shipdate < date '[DATE]' + interval '1' month;\n\n lineitem ⋈ part\n */\n\n public void tpch14() {\n int year_14 = 1993;\n int monthOffset_14 = rand.nextInt(60);\n SimpleDate d14_1 = new SimpleDate(year_14 + monthOffset_14 / 12, monthOffset_14 % 12 + 1, 1);\n monthOffset_14 += 1;\n SimpleDate d14_2 = new SimpleDate(year_14 + monthOffset_14 / 12, monthOffset_14 % 12 + 1, 1);\n\n String lineitemPredicate = \"l_shipdate >= \\\"\" + d14_1 + \"\\\" and l_shipdate < \\\"\" + d14_2 + \"\\\"\";\n\n long start = System.currentTimeMillis();\n\n System.out.println(\"SELECT * \"\n + \"FROM lineitem JOIN part ON l_partkey = p_partkey \"\n + \"WHERE \" + lineitemPredicate);\n\n DataFrame df = sqlContext.sql(\"SELECT * \"\n + \"FROM lineitem JOIN part ON l_partkey = p_partkey \"\n + \"WHERE \" + lineitemPredicate);\n\n long result = df.count(); // 76860\n System.out.println(\"RES: Time Taken: \" + (System.currentTimeMillis() - start) + \"; Result: \" + result);\n }\n\n /*\n select\n count(*)\n from\n lineitem,\n part\n where\n p_partkey = l_partkey\n and l_shipinstruct = ‘DELIVER IN PERSON’\n and p_brand = ‘[BRAND]’\n and p_container = ‘SM CASE’\n and l_quantity >= [QUANTITY]\n and l_quantity <= [QUANTITY] + 10\n and p_size between 1 and 5\n and l_shipmode <= ‘AIR REG’\n\n lineitem ⋈ part\n */\n\n public void tpch19() {\n String brand_19 = \"Brand#\" + (rand.nextInt(5) + 1) + \"\" + (rand.nextInt(5) + 1);\n String shipInstruct_19 = \"DELIVER IN PERSON\";\n double quantity_19 = rand.nextInt(10) + 1;\n\n String lineitemPredicate = \"l_shipinstruct = \\\"\" + shipInstruct_19 + \"\\\" and l_quantity > \" + quantity_19;\n String partPredicate = \"p_brand = \\\"\" + brand_19 + \"\\\" and p_container = \\\"SM CASE\\\"\";\n quantity_19 += 10;\n\n lineitemPredicate = lineitemPredicate + \" and l_quantity <= \" + quantity_19 + \" and l_shipmode <= \\\"AIR\\\"\";\n partPredicate = partPredicate + \" and p_size >= 1 and p_size <= 5\";\n\n long start = System.currentTimeMillis();\n\n System.out.println(\"SELECT * \"\n + \"FROM lineitem JOIN part ON l_partkey = p_partkey \"\n + \"WHERE \" + lineitemPredicate + \" and \" + partPredicate);\n\n DataFrame df = sqlContext.sql(\"SELECT * \"\n + \"FROM lineitem JOIN part ON l_partkey = p_partkey \"\n + \"WHERE \" + lineitemPredicate + \" and \" + partPredicate);\n\n long result = df.count(); // 10\n System.out.println(\"RES: Time Taken: \" + (System.currentTimeMillis() - start) + \"; Result: \" + result);\n }\n\n public void runWorkload() {\n System.out.println(\"Run TPCH-3\");\n rand.setSeed(0);\n tpch3();\n System.out.println(\"Run TPCH-5\");\n rand.setSeed(0);\n tpch5();\n System.out.println(\"Run TPCH-6\");\n rand.setSeed(0);\n tpch6();\n System.out.println(\"Run TPCH-8\");\n rand.setSeed(0);\n tpch8();\n System.out.println(\"Run TPCH-10\");\n rand.setSeed(0);\n tpch10();\n System.out.println(\"Run TPCH-12\");\n rand.setSeed(0);\n tpch12();\n System.out.println(\"Run TPCH-14\");\n rand.setSeed(0);\n tpch14();\n System.out.println(\"Run TPCH-19\");\n rand.setSeed(0);\n tpch19();\n }\n\n public static void main(String[] args) {\n\n BenchmarkSettings.loadSettings(args);\n BenchmarkSettings.printSettings();\n\n TPCHSparkJoinWorkload t = new TPCHSparkJoinWorkload();\n t.loadSettings(args);\n t.setUp();\n\n switch (t.method) {\n case 1:\n t.runWorkload();\n break;\n\n default:\n break;\n }\n\n }\n}\n"},{"alpha_fraction":0.6263736486434937,"alphanum_fraction":0.692307710647583,"avg_line_length":28.1200008392334,"blob_id":"9ee2fa86c249a0c0fa7f6341579c9735a529898a","content_id":"6dcbcf6a276ff199c725754c6e424c3c501cacd4","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Gradle","length_bytes":728,"license_type":"no_license","max_line_length":68,"num_lines":25,"path":"/build.gradle","repo_name":"qinzhewudao/GraduationProject","src_encoding":"UTF-8","text":"group 'com.sy.GraduationProject'\nversion '1.0-SNAPSHOT'\n\napply plugin: 'java'\n\nsourceCompatibility = 1.8\n\nrepositories {\n mavenCentral()\n}\n\ndependencies {\n compile 'org.slf4j:slf4j-api:1.7.12'\n compile 'org.apache.hadoop:hadoop-common:2.6.0'\n compile 'org.apache.hadoop:hadoop-hdfs:2.6.0'\n compile 'org.apache.hadoop:hadoop-mapreduce-client-common:2.6.0'\n compile 'org.apache.spark:spark-core_2.11:1.6.0'\n compile 'org.apache.spark:spark-sql_2.11:1.6.0'\n compile 'com.databricks:spark-csv_2.11:1.3.0'\n compile 'org.apache.commons:commons-math3:3.5'\n compile 'org.apache.commons:commons-csv:1.2'\n compile 'junit:junit:4.12'\n //\n testCompile group: 'junit', name: 'junit', version: '4.12'\n}\n"},{"alpha_fraction":0.6622315645217896,"alphanum_fraction":0.6666666865348816,"avg_line_length":23.620689392089844,"blob_id":"72542bd9ba5042b3549fb72832cd45ea136f4a4d","content_id":"6a7e32e390597a74bac8bbde99895d5042eb3fb7","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Java","length_bytes":4284,"license_type":"no_license","max_line_length":91,"num_lines":174,"path":"/src/main/java/perf/benchmark/CMTWorkload.java","repo_name":"qinzhewudao/GraduationProject","src_encoding":"UTF-8","text":"package perf.benchmark;\n\nimport core.adapt.Predicate;\nimport core.adapt.Predicate.PREDTYPE;\nimport core.adapt.Query;\nimport core.adapt.spark.SparkQuery;\nimport core.common.globals.Globals;\nimport core.common.globals.TableInfo;\nimport core.utils.ConfUtils;\nimport core.utils.HDFSUtils;\nimport core.utils.TypeUtils;\nimport core.utils.TypeUtils.TYPE;\nimport org.apache.hadoop.fs.FileSystem;\n\nimport java.util.ArrayList;\nimport java.util.List;\n\npublic class CMTWorkload {\n\tpublic ConfUtils cfg;\n\n\tpublic String schemaString;\n\n\tint numFields;\n\n\tint method;\n\n String tableName;\n\n TableInfo tableInfo;\n\n\tpublic void setUp() {\n\t\ttableName = \"cmt\";\n\n\t\tcfg = new ConfUtils(BenchmarkSettings.conf);\n\t\tFileSystem fs = HDFSUtils.getFSByHadoopHome(cfg.getHADOOP_HOME());\n\n\t\t// Load table info.\n\t\tGlobals.loadTableInfo(tableName, cfg.getHDFS_WORKING_DIR(), fs);\n\t\ttableInfo = Globals.getTableInfo(tableName);\n\t\tassert tableInfo != null;\n\t}\n\n\tpublic Predicate getPredicate(String pred) {\n\t\tString[] parts = pred.split(\" \");\n\n\t\tint attrId = tableInfo.schema.getAttributeId(parts[0].trim());\n\t\t\n\t\tif (attrId == -1) {\n\t\t\tthrow new RuntimeException(\"Unknown attr: \" + parts[0].trim());\n\t\t}\n\t\t\n\t\tTYPE attrType = tableInfo.schema.getType(attrId);\n\t\tObject value = TypeUtils.deserializeValue(attrType, parts[2].trim().replaceAll(\"'\", \"\"));\n\t\tString predTypeStr = parts[1].trim();\n\t\tPREDTYPE predType;\n\t\tswitch (predTypeStr) {\n\t\tcase \">\":\n\t\t\tpredType = PREDTYPE.GT;\n\t\t\tbreak;\n\t\tcase \">=\":\n\t\t\tpredType = PREDTYPE.GEQ;\n\t\t\tbreak;\n\t\tcase \"<\":\n\t\t\tpredType = PREDTYPE.LT;\n\t\t\tbreak;\n\t\tcase \"<=\":\n\t\t\tpredType = PREDTYPE.LEQ;\n\t\t\tbreak;\n\t\tcase \"=\":\n\t\t\tpredType = PREDTYPE.EQ;\n\t\t\tbreak;\n\t\tdefault:\n\t\t\tthrow new RuntimeException(\"Unknown predType \" + predTypeStr);\n\t\t}\n\n\t\tPredicate p = new Predicate(tableInfo, parts[0].trim(), attrType, value, predType);\n\t\treturn p;\n\t}\n\t\n\tpublic List<Query> generateWorkload() {\n\t\tbyte[] stringBytes = HDFSUtils.readFile(\n\t\t\t\tHDFSUtils.getFSByHadoopHome(cfg.getHADOOP_HOME()),\n\t\t\t\t\"/user/mdindex/cmt_queries.log\");\n\t\tString queriesString = new String(stringBytes);\n\t\tString[] queries = queriesString.split(\"\\n\");\n\t\tList<Query> ret = new ArrayList<Query>();\n\t\tfor (int i=0; i<queries.length; i++) {\n\t\t\tString queryString = queries[i];\n\t\t\tString[] parts = queryString.split(\"\\\\|\");\n\t\t\tString[] predicates = parts[1].split(\";\");\n\t\t\tList<Predicate> queryPreds = new ArrayList<Predicate>();\n\t\t\tfor (int j=0; j<predicates.length; j++) {\n\t\t\t\tPredicate p = getPredicate(predicates[j]);\n\t\t\t\tList<Predicate> preds = p.getNormalizedPredicates();\n\t\t\t\tqueryPreds.addAll(preds);\n\t\t\t}\n\t\t\tPredicate[] predArray = queryPreds.toArray(new Predicate[queryPreds.size()]);\n\t\t\tret.add(new Query(tableName, predArray));\n\t\t}\n\n\t\treturn ret;\n\t}\n\n public void testWorkload() {\n\t\tlong start, end;\n\t\tSparkQuery sq = new SparkQuery(cfg);\n\t\tList<Query> queries = generateWorkload();\n\t\tfor (Query q: queries) {\n\t\t\tSystem.out.println(\"INFO: Query:\" + q.toString());\n\t\t}\n\t}\n\n\tpublic void runWorkload() {\n\t\tlong start, end;\n\t\tSparkQuery sq = new SparkQuery(cfg);\n\t\tList<Query> queries = generateWorkload();\n\t\tfor (Query q: queries) {\n\t\t\tSystem.out.println(\"INFO: Query:\" + q.toString());\n\t\t}\n\n\t\tfor (Query q : queries) {\n\t\t\tstart = System.currentTimeMillis();\n\t\t\tlong result = sq.createAdaptRDD(cfg.getHDFS_WORKING_DIR(),\n\t\t\t\t\tq).count();\n\t\t\tend = System.currentTimeMillis();\n\t\t\tSystem.out.println(\"RES: Time Taken: \" + (end - start) +\n\t\t\t\t\t\"; Result: \" + result);\n\t\t}\n\t}\n\n\tpublic void loadSettings(String[] args) {\n\t\tint counter = 0;\n\t\twhile (counter < args.length) {\n\t\t\tswitch (args[counter]) {\n\t\t\tcase \"--schema\":\n\t\t\t\tschemaString = args[counter + 1];\n\t\t\t\tcounter += 2;\n\t\t\t\tbreak;\n\t\t\tcase \"--numFields\":\n\t\t\t\tnumFields = Integer.parseInt(args[counter + 1]);\n\t\t\t\tcounter += 2;\n\t\t\t\tbreak;\n\t\t\tcase \"--method\":\n\t\t\t\tmethod = Integer.parseInt(args[counter + 1]);\n\t\t\t\tcounter += 2;\n\t\t\t\tbreak;\n\t\t\tdefault:\n\t\t\t\t// Something we don't use\n\t\t\t\tcounter += 2;\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t}\n\n\tpublic static void main(String[] args) {\n\t\tBenchmarkSettings.loadSettings(args);\n\t\tBenchmarkSettings.printSettings();\n\n\t\tCMTWorkload t = new CMTWorkload();\n\t\tt.loadSettings(args);\n\t\tt.setUp();\n\n\t\tswitch (t.method) {\n\t\tcase 1:\n\t\t\tt.runWorkload();\n\t\t\tbreak;\n case 2:\n \tt.testWorkload();\n\t\t\tbreak;\n\t\tdefault:\n\t\t\tbreak;\n\t\t}\n\t}\n}\n"},{"alpha_fraction":0.6093429327011108,"alphanum_fraction":0.6160164475440979,"avg_line_length":24.63157844543457,"blob_id":"362b793c4747c671e5b1d5c7d74874e819bcf070","content_id":"fcdda2c97f27190fb361013bc0c294ee05dd64a0","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Java","length_bytes":1948,"license_type":"no_license","max_line_length":79,"num_lines":76,"path":"/src/main/java/core/adapt/JoinQuery.java","repo_name":"qinzhewudao/GraduationProject","src_encoding":"UTF-8","text":"package core.adapt;\n\n\nimport java.io.DataOutput;\nimport java.io.IOException;\nimport java.io.Serializable;\n\nimport core.adapt.Predicate;\nimport core.adapt.Query;\nimport org.apache.hadoop.io.Text;\n\nimport com.google.common.base.Joiner;\n\n/**\n * Created by ylu on 1/25/16.\n */\n\npublic class JoinQuery implements Serializable {\n private static final long serialVersionUID = 1L;\n\n private Predicate[] predicates;\n private String table;\n private int joinAttribute;\n\n public JoinQuery(String queryString) {\n String[] parts = queryString.split(\"\\\\|\");\n this.table = parts[0];\n this.joinAttribute = Integer.parseInt(parts[1]);\n if (parts.length > 2) {\n String predString = parts[2].trim();\n String[] predParts = predString.split(\";\");\n this.predicates = new Predicate[predParts.length];\n for (int i = 0; i < predParts.length; i++) {\n this.predicates[i] = new Predicate(predParts[i]);\n }\n } else {\n this.predicates = new Predicate[0];\n }\n }\n\n public JoinQuery(String table, int joinAttribute, Predicate[] predicates) {\n this.table = table;\n this.joinAttribute = joinAttribute;\n this.predicates = predicates;\n }\n\n public Predicate[] getPredicates() {\n return this.predicates;\n }\n\n public String getTable() {\n return this.table;\n }\n\n public int getJoinAttribute(){\n return this.joinAttribute;\n }\n\n public Query castToQuery(){\n return new Query(table, predicates);\n }\n\n public void write(DataOutput out) throws IOException {\n Text.writeString(out, toString());\n }\n\n\n\n @Override\n public String toString() {\n String stringPredicates = \"\";\n if (predicates.length != 0)\n stringPredicates = Joiner.on(\";\").join(predicates);\n return table + \"|\" + joinAttribute + \"|\" + stringPredicates;\n }\n}\n"},{"alpha_fraction":0.6791393756866455,"alphanum_fraction":0.6941066384315491,"avg_line_length":25.725000381469727,"blob_id":"362780ad7a4e4e14cece3a360c004abc1e4673e1","content_id":"73dd53bbd5351f76201a95b2a468e20eee47d558","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Java","length_bytes":1069,"license_type":"no_license","max_line_length":100,"num_lines":40,"path":"/src/test/java/core/common/index/RobustTreeTest.java","repo_name":"qinzhewudao/GraduationProject","src_encoding":"UTF-8","text":"package core.common.index;\n\nimport core.adapt.Predicate;\nimport core.adapt.Query;\nimport core.common.globals.Globals;\nimport core.common.globals.TableInfo;\nimport core.common.key.ParsedTupleList;\nimport core.utils.ConfUtils;\nimport core.utils.HDFSUtils;\nimport core.utils.TypeUtils;\nimport org.apache.hadoop.fs.FileSystem;\n\nimport java.util.*;\n\n/**\n * Created by ylu on 2/10/16.\n */\npublic class RobustTreeTest {\n public static void main(String[] args){\n\n\n\n ConfUtils cfg = new ConfUtils(\"/Users/ylu/Documents/workspace/mdindex/conf/ylu.properties\");\n FileSystem fs = HDFSUtils.getFSByHadoopHome(cfg.getHADOOP_HOME());\n\n byte[] sampleBytes = HDFSUtils.readFile(fs, \"/index\");\n\n\n RobustTree rt = new RobustTree();\n rt.unmarshall(sampleBytes);\n\n\n TypeUtils.SimpleDate d3 = new TypeUtils.SimpleDate(1995,\n 4, 14);\n\n Predicate p = new Predicate(10, TypeUtils.TYPE.DATE, d3, Predicate.PREDTYPE.GT);\n List<RNode> rr = rt.getMatchingBuckets( new Predicate[]{p});\n System.out.println();\n }\n}\n"},{"alpha_fraction":0.5588613152503967,"alphanum_fraction":0.5638912916183472,"avg_line_length":32.371429443359375,"blob_id":"47446f736777073bccb7a7551c9fdf4bca759a8e","content_id":"63e69029effa02308d439a6c99cb39a26154f72f","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Java","length_bytes":9348,"license_type":"no_license","max_line_length":152,"num_lines":280,"path":"/src/main/java/perf/benchmark/CMTJoinWorkload.java","repo_name":"qinzhewudao/GraduationProject","src_encoding":"UTF-8","text":"package perf.benchmark;\n\nimport core.adapt.JoinQuery;\nimport core.adapt.Predicate;\nimport core.adapt.spark.RangePartitioner;\nimport core.adapt.spark.join.SparkJoinQuery;\nimport core.common.globals.Schema;\nimport core.common.globals.TableInfo;\nimport core.utils.ConfUtils;\nimport core.utils.HDFSUtils;\nimport core.utils.RangePartitionerUtils;\nimport core.utils.TypeUtils;\nimport org.apache.commons.io.FilenameUtils;\nimport org.apache.hadoop.fs.FileStatus;\nimport org.apache.hadoop.fs.FileSystem;\nimport org.apache.hadoop.fs.Path;\nimport org.apache.hadoop.io.LongWritable;\nimport org.apache.hadoop.io.Text;\nimport org.apache.spark.Partitioner;\nimport org.apache.spark.api.java.JavaPairRDD;\nimport org.apache.spark.api.java.JavaRDD;\nimport scala.Tuple2;\n\nimport java.io.FileNotFoundException;\nimport java.io.IOException;\nimport java.util.ArrayList;\nimport java.util.Random;\n\n\npublic class CMTJoinWorkload {\n\n private ConfUtils cfg;\n\n private Schema schemaMH, schemaMHL, schemaSF;\n private String stringMH, stringMHL, stringSF;\n private String MH = \"mh\", MHL = \"mhl\", SF = \"sf\";\n private TableInfo tableMH, tableMHL, tableSF;\n\n private Predicate[] EmptyPredicates = {};\n\n\n private int method;\n\n private int numQueries;\n\n private Random rand;\n\n public void setUp() {\n cfg = new ConfUtils(BenchmarkSettings.conf);\n rand = new Random();\n\n // Making things more deterministic.\n rand.setSeed(0);\n\n tableMH = new TableInfo(MH, 0, '|', schemaMH);\n tableMHL = new TableInfo(MHL, 0, '|', schemaMHL);\n tableSF = new TableInfo(SF, 0, '|', schemaSF);\n }\n\n public void garbageCollect(){\n FileSystem fs = HDFSUtils.getFSByHadoopHome(cfg.getHADOOP_HOME());\n\n tableMH.gc(cfg.getHDFS_WORKING_DIR(), fs);\n tableMHL.gc(cfg.getHDFS_WORKING_DIR(), fs);\n tableSF.gc(cfg.getHDFS_WORKING_DIR(), fs);\n }\n\n\n public void loadSettings(String[] args) {\n int counter = 0;\n while (counter < args.length) {\n switch (args[counter]) {\n case \"--schemaMH\":\n stringMH = args[counter + 1];\n schemaMH = Schema.createSchema(stringMH);\n counter += 2;\n break;\n case \"--schemaMHL\":\n stringMHL = args[counter + 1];\n schemaMHL = Schema.createSchema(stringMHL);\n counter += 2;\n break;\n case \"--schemaSF\":\n stringSF = args[counter + 1];\n schemaSF = Schema.createSchema(stringSF);\n counter += 2;\n break;\n case \"--method\":\n method = Integer.parseInt(args[counter + 1]);\n counter += 2;\n break;\n case \"--numQueries\":\n numQueries = Integer.parseInt(args[counter + 1]);\n counter += 2;\n break;\n default:\n // Something we don't use\n counter += 2;\n break;\n }\n }\n }\n\n public void cleanup(String path){\n FileSystem fs = HDFSUtils.getFSByHadoopHome(cfg.getHADOOP_HOME());\n try {\n fs.delete(new Path(path), true);\n } catch (IOException e) {\n e.printStackTrace();\n }\n }\n\n\n public void postProcessing(String path, String tableName, Schema schema) {\n\n /* rename part-0000i to i and create an info file*/\n\n try {\n FileSystem fs = HDFSUtils.getFSByHadoopHome(cfg.getHADOOP_HOME());\n String dest = path + \"/data\";\n\n // delete _SUCCESS\n\n fs.delete(new Path(dest + \"/_SUCCESS\"), false);\n FileStatus[] fileStatus = fs.listStatus(new Path(dest));\n\n for (int i = 0; i < fileStatus.length; i++) {\n String oldPath = fileStatus[i].getPath().toString();\n String baseName = FilenameUtils.getBaseName(oldPath);\n String dir = oldPath.substring(0, oldPath.length() - baseName.length());\n String newPath = dir + Integer.parseInt(baseName.substring(baseName.indexOf('-') + 1));\n\n fs.rename(new Path(oldPath), new Path(newPath));\n }\n\n\n /* write out a fake (TOTAL_NUM_TUPLES is 0, delimiter is set to '|') info to make HDFSPartition Happy*/\n\n TableInfo tableInfo = new TableInfo(tableName, 0, ';', schema);\n tableInfo.save(cfg.getHDFS_WORKING_DIR(), cfg.getHDFS_REPLICATION_FACTOR(), fs);\n\n\n } catch (FileNotFoundException e) {\n e.printStackTrace();\n } catch (IOException e) {\n e.printStackTrace();\n }\n }\n\n\n public Predicate getPredicate(Schema schema, String pred) {\n String[] parts = pred.split(\" \");\n int attrId = schema.getAttributeId(parts[0].trim());\n\n if (attrId == -1) {\n throw new RuntimeException(\"Unknown attr: \" + parts[0].trim());\n }\n\n TypeUtils.TYPE attrType = schema.getType(attrId);\n Object value = TypeUtils.deserializeValue(attrType, parts[2].trim().replaceAll(\"'\", \"\"));\n String predTypeStr = parts[1].trim();\n Predicate.PREDTYPE predType;\n switch (predTypeStr) {\n case \">\":\n predType = Predicate.PREDTYPE.GT;\n break;\n case \">=\":\n predType = Predicate.PREDTYPE.GEQ;\n break;\n case \"<\":\n predType = Predicate.PREDTYPE.LT;\n break;\n case \"<=\":\n predType = Predicate.PREDTYPE.LEQ;\n break;\n case \"=\":\n predType = Predicate.PREDTYPE.EQ;\n break;\n default:\n throw new RuntimeException(\"Unknown predType \" + predTypeStr);\n }\n\n Predicate p = new Predicate(attrId, attrType, value, predType);\n return p;\n }\n\n\n\n public ArrayList<ArrayList<JoinQuery>> generateWorkload() {\n byte[] stringBytes = HDFSUtils.readFile(\n HDFSUtils.getFSByHadoopHome(cfg.getHADOOP_HOME()),\n \"/user/yilu/cmt100000000/cmt_queries.log\");\n\n String queriesString = new String(stringBytes);\n String[] queries = queriesString.split(\"\\n\");\n ArrayList<ArrayList<JoinQuery>> ret = new ArrayList<ArrayList<JoinQuery>>();\n for (int i=0; i<queries.length; i++) {\n String query = queries[i];\n String[] predicates = query.split(\";\");\n ArrayList<Predicate> mhPreds = new ArrayList<Predicate>();\n ArrayList<Predicate> sfPreds = new ArrayList<Predicate>();\n\n ArrayList<JoinQuery> q = new ArrayList<JoinQuery>();\n\n for (int j=0; j<predicates.length; j++) {\n if(predicates[j].startsWith(MH)){\n Predicate p = getPredicate(schemaMH, predicates[j]);\n mhPreds.add(p);\n } else {\n Predicate p = getPredicate(schemaSF, predicates[j]);\n sfPreds.add(p);\n }\n }\n\n Predicate[] mhArray = mhPreds.toArray(new Predicate[mhPreds.size()]);\n Predicate[] sfArray = sfPreds.toArray(new Predicate[sfPreds.size()]);\n\n JoinQuery q_mh = new JoinQuery(MH, schemaMH.getAttributeId(\"mh_id\"), mhArray);\n JoinQuery q_sf = new JoinQuery(SF, schemaSF.getAttributeId(\"sf_id\"), sfArray);\n\n q.add(q_mh);\n q.add(q_sf);\n\n ret.add(q);\n }\n\n return ret;\n }\n\n\n // sf ⋈ (mhl ⋈ mh)\n public void runWorkload(){\n\n\n ArrayList<ArrayList<JoinQuery>> queries = generateWorkload();\n SparkJoinQuery sq = new SparkJoinQuery(cfg);\n int iters = 0;\n\n for (ArrayList<JoinQuery> q: queries) {\n\n JoinQuery q_mh = q.get(0);\n JoinQuery q_sf = q.get(1);\n JoinQuery q_mhl = new JoinQuery(MHL, schemaMHL.getAttributeId(\"mhl_mapmatch_history_id\"), EmptyPredicates);\n\n System.out.println(\"INFO: Query_MH:\" + q_mh.toString());\n System.out.println(\"INFO: Query_sf:\" + q_sf.toString());\n\n\n long start = System.currentTimeMillis();\n\n String stringMH_join_MHL = stringMH + \", \" + stringMHL;\n Schema schemaMH_join_MHL = Schema.createSchema(stringMH_join_MHL);\n\n JavaPairRDD<LongWritable, Text> mh_join_mhl_rdd = sq.createJoinRDD(MH, q_mh,MHL, q_mhl, schemaMH_join_MHL.getAttributeId(\"mhl_dataset_id\"));\n JavaPairRDD<LongWritable, Text> sf_rdd = sq.createScanRDD(SF, q_sf);\n JavaPairRDD<LongWritable, Tuple2<Text, Text>> rdd = mh_join_mhl_rdd.join(sf_rdd);\n long result = rdd.count();\n\n System.out.println(\"RES: Time Taken: \" + (System.currentTimeMillis() - start) + \"; Result: \" + result);\n }\n }\n\n public static void main(String[] args) {\n\n BenchmarkSettings.loadSettings(args);\n BenchmarkSettings.printSettings();\n\n CMTJoinWorkload t = new CMTJoinWorkload();\n t.loadSettings(args);\n t.setUp();\n\n switch (t.method) {\n case 1:\n t.runWorkload();\n break;\n default:\n break;\n }\n }\n}\n"},{"alpha_fraction":0.5413975119590759,"alphanum_fraction":0.5537286996841431,"avg_line_length":21.11688232421875,"blob_id":"1a24932ce3143161209533d9bb0be45cf4dc4ce3","content_id":"6be6ed7784525752759d33a8686b52a11c328630","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Java","length_bytes":1703,"license_type":"no_license","max_line_length":55,"num_lines":77,"path":"/src/test/java/core/util/ConcurrentAppendTest.java","repo_name":"qinzhewudao/GraduationProject","src_encoding":"UTF-8","text":"package core.util;\n\nimport org.apache.hadoop.conf.Configuration;\nimport org.apache.hadoop.fs.FSDataOutputStream;\nimport org.apache.hadoop.fs.FileSystem;\nimport org.apache.hadoop.fs.Path;\n\nimport java.io.IOException;\nimport java.io.PrintWriter;\nimport java.net.URI;\n\n/**\n * Created by ylu on 3/8/16.\n */\n\nclass HelloThread extends Thread {\n\n String content;\n int id;\n HelloThread(String c, int i){\n content = c;\n id = i;\n }\n public void run() {\n String uri = \"hdfs://localhost:9000/test.txt\";\n\n // instantiate a configuration class\n Configuration conf = new Configuration();\n //conf.setBoolean(\"dfs.support.append\", true);\n // get a HDFS filesystem instance\n FileSystem fs = null;\n try {\n fs = FileSystem.get(URI.create(uri), conf);\n } catch (IOException e) {\n e.printStackTrace();\n }\n\n\n FSDataOutputStream fsout = null;\n try {\n fsout = fs.append(new Path(uri));\n for(int i = 0; i <1000; i ++){\n //System.out.println(id);\n fsout.writeChars(content);\n }\n\n // wrap the outputstream with a writer\n\n //fs.close();\n } catch (IOException e) {\n e.printStackTrace();\n }\n }\n\n\n}\n\npublic class ConcurrentAppendTest {\n\n\n public static void main(String[] args) {\n\n HelloThread t1 = new HelloThread(\"hello\\n\", 1);\n HelloThread t2 = new HelloThread(\"world\\n\", 2);\n t1.start();\n t2.start();\n\n try {\n t1.join();\n t2.join();\n } catch (InterruptedException e) {\n e.printStackTrace();\n }\n\n }\n\n}\n"},{"alpha_fraction":0.6774071455001831,"alphanum_fraction":0.680060625076294,"avg_line_length":27.989011764526367,"blob_id":"93e5dabef4b62231e0ea6e7f787612147dc619db","content_id":"d07776281d8cafb68db98baf396da85e08bd74f1","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Java","length_bytes":2638,"license_type":"no_license","max_line_length":101,"num_lines":91,"path":"/src/main/java/core/adapt/spark/join/JoinAccessMethod.java","repo_name":"qinzhewudao/GraduationProject","src_encoding":"UTF-8","text":"package core.adapt.spark.join;\n\nimport core.adapt.AccessMethod.PartitionSplit;\nimport core.adapt.JoinQuery;\nimport core.adapt.Predicate;\nimport core.adapt.iterator.PartitionIterator;\n\nimport core.adapt.opt.JoinOptimizer;\nimport core.common.globals.Globals;\nimport core.common.globals.TableInfo;\nimport core.common.index.JoinRobustTree;\nimport core.common.key.RawIndexKey;\nimport core.utils.HDFSUtils;\n\n/**\n * Created by ylu on 1/27/16.\n */\n\n/**\n * This access method class considers filter access method over the distributed\n * dataset. The filter could be extracted as: - the selection predicate in\n * selection query - the sub-range filter (different for each node) in\n * join/aggregate query\n *\n * Currently, we support filtering only on one attribute at a time, i.e. we\n * expect the query processor to filter on the most selective attribute.\n *\n * Filter query: - can access only the local blocks on each node - scan over\n * partitioned portion - crack over non-partitioned portion\n *\n */\n\npublic class JoinAccessMethod {\n public JoinOptimizer opt;\n public RawIndexKey key;\n\n /**\n * Initialize hyper-partitioning data access.\n */\n public void init(SparkJoinQueryConf conf, int partition) {\n JoinQuery query = conf.getQuery();\n\n Globals.loadTableInfo(query.getTable(), conf.getWorkingDir(),\n HDFSUtils.getFSByHadoopHome(conf.getHadoopHome()));\n\n TableInfo tableInfo = Globals.getTableInfo(query.getTable());\n key = new RawIndexKey(tableInfo.delimiter);\n opt = new JoinOptimizer(conf);\n\n opt.loadIndex(tableInfo, partition);\n opt.loadQueries(tableInfo);\n }\n\n public JoinRobustTree getIndex() {\n return opt.getIndex();\n }\n\n public RawIndexKey getKey() {\n return key;\n }\n\n /**\n * This method returns whether or not a given partition qualifies for the\n * predicate.\n *\n * @param predicate\n * @return\n */\n public boolean isRelevant(String partitionid, Predicate predicate) {\n return true;\n }\n\n /**\n * This method is used to: 1. lookup the partition index for relevant\n * partitions 2. and, to create splits of partitions which could be assigned\n * to different node.\n *\n * The split thus produced must be: (a) equal in size (b) contain blocks\n * from the same sub-tree\n *\n * @return\n */\n public PartitionSplit[] getPartitionSplits(JoinQuery q, boolean justAccess, int indexPartition) {\n if (justAccess) {\n return opt.buildAccessPlan(q);\n } else {\n return opt.buildPlan(q, indexPartition);\n }\n }\n\n}\n"},{"alpha_fraction":0.800000011920929,"alphanum_fraction":0.800000011920929,"avg_line_length":38,"blob_id":"3a069e953096f4e3521e8f357ed4cf6fd10f8f41","content_id":"d28624ef57b2f6ee3a5f5ca0e28c5fc0706df9b9","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Gradle","length_bytes":40,"license_type":"no_license","max_line_length":38,"num_lines":1,"path":"/settings.gradle","repo_name":"qinzhewudao/GraduationProject","src_encoding":"UTF-8","text":"rootProject.name = 'GraduationProject'\n\n"}],"string":"[\n {\n \"alpha_fraction\": 0.6519396305084229,\n \"alphanum_fraction\": 0.6526580452919006,\n \"avg_line_length\": 31,\n \"blob_id\": \"753a68dba23fddda6bd0097672a9618e6871c7c4\",\n \"content_id\": \"c00dbc2117a9f1e827804551df244df216f78d8f\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Java\",\n \"length_bytes\": 2784,\n \"license_type\": \"no_license\",\n \"max_line_length\": 84,\n \"num_lines\": 87,\n \"path\": \"/src/main/java/core/simulator/Simulator.java\",\n \"repo_name\": \"qinzhewudao/GraduationProject\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"package core.simulator;\\n\\nimport core.adapt.AccessMethod.PartitionSplit;\\nimport core.adapt.Query;\\nimport core.adapt.iterator.RepartitionIterator;\\nimport core.adapt.opt.Optimizer;\\nimport core.common.globals.Globals;\\nimport core.utils.ConfUtils;\\nimport core.utils.CuratorUtils;\\nimport core.utils.HDFSUtils;\\nimport org.apache.curator.framework.CuratorFramework;\\nimport org.apache.hadoop.fs.FileSystem;\\n\\npublic class Simulator {\\n\\tOptimizer opt;\\n\\n\\tConfUtils cfg;\\n\\n\\tString simName;\\n\\n\\tString dataset;\\n\\n\\tQuery[] queries;\\n\\n\\tpublic void setUp(ConfUtils cfg, String simName, String dataset, Query[] queries) {\\n\\t\\tthis.cfg = cfg;\\n\\t\\tthis.simName = simName;\\n\\t\\tthis.dataset = dataset;\\n\\t\\tthis.queries = queries;\\n\\n\\t\\tFileSystem fs = HDFSUtils.getFSByHadoopHome(cfg.getHADOOP_HOME());\\n\\n\\t\\tHDFSUtils.deleteFile(fs,\\n\\t\\t\\t\\tcfg.getHDFS_WORKING_DIR() + \\\"/\\\" + simName, true);\\n\\t\\tHDFSUtils.safeCreateDirectory(fs, cfg.getHDFS_WORKING_DIR() + \\\"/\\\" + simName);\\n\\n\\t\\tCuratorFramework client = CuratorUtils.createAndStartClient(\\n\\t\\t\\t\\tcfg.getZOOKEEPER_HOSTS());\\n\\t\\tCuratorUtils.deleteAll(client, \\\"/\\\", \\\"partition-\\\");\\n\\t\\tCuratorUtils.stopClient(client);\\n\\n\\t\\tHDFSUtils.copyFile(fs, cfg.getHDFS_WORKING_DIR() + \\\"/\\\" + dataset + \\\"/\\\" + \\\"index\\\",\\n\\t\\t\\t\\tcfg.getHDFS_WORKING_DIR() + \\\"/\\\" + simName + \\\"/\\\" + \\\"index\\\",\\n\\t\\t\\t\\tcfg.getHDFS_REPLICATION_FACTOR());\\n\\t\\tHDFSUtils.copyFile(fs, cfg.getHDFS_WORKING_DIR() + \\\"/\\\" + dataset + \\\"/\\\" + \\\"sample\\\",\\n\\t\\t\\t\\tcfg.getHDFS_WORKING_DIR() + \\\"/\\\" + simName + \\\"/\\\" + \\\"sample\\\",\\n\\t\\t\\t\\tcfg.getHDFS_REPLICATION_FACTOR());\\n\\t\\tHDFSUtils.copyFile(fs, cfg.getHDFS_WORKING_DIR() + \\\"/\\\" + dataset + \\\"/\\\" + \\\"info\\\",\\n\\t\\t\\t\\tcfg.getHDFS_WORKING_DIR() + \\\"/\\\" + simName + \\\"/\\\" + \\\"info\\\",\\n\\t\\t\\t\\tcfg.getHDFS_REPLICATION_FACTOR());\\n\\n Globals.loadTableInfo(simName, cfg.getHDFS_WORKING_DIR(), fs);\\n\\n\\t\\topt = new Optimizer(cfg);\\n\\t\\topt.loadIndex(Globals.getTableInfo(simName));\\n\\t}\\n\\n\\tpublic void runOld() {\\n\\t\\tfor (int i=0; i<queries.length; i++) {\\n\\t\\t\\tQuery q = queries[i];\\n\\t\\t\\tq.setTable(simName);\\n PartitionSplit[] splits = opt.buildPlan(q);\\n\\n // Check if there was an index update. If yes, we need\\n // to reload the index.\\n for (PartitionSplit p: splits) {\\n if (p.getIterator().getClass() == RepartitionIterator.class) {\\n System.out.println(\\\"INFO: Reloading index ..\\\");\\n opt.loadIndex(Globals.getTableInfo(simName));\\n break;\\n }\\n }\\n\\t\\t}\\n\\t}\\n\\n public void run() {\\n\\t\\tfor (int i=0; i<queries.length; i++) {\\n\\t\\t\\tQuery q = queries[i];\\n\\t\\t\\tq.setTable(simName);\\n PartitionSplit[] splits = opt.buildMultiPredicatePlan(q);\\n\\n\\t\\t\\t// When using the multi-predicate plan builder, the rt gets dirtied\\n\\t\\t\\t// We need to reload for every query.\\n opt.loadIndex(Globals.getTableInfo(simName));\\n\\t\\t}\\n\\t}\\n}\\n\"\n },\n {\n \"alpha_fraction\": 0.6158192157745361,\n \"alphanum_fraction\": 0.6629002094268799,\n \"avg_line_length\": 28.44444465637207,\n \"blob_id\": \"732ae9d701cb6603c00ded293c1cad77ea905884\",\n \"content_id\": \"b752232593eb481e6222018d2d8a13ecf394127b\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 531,\n \"license_type\": \"no_license\",\n \"max_line_length\": 96,\n \"num_lines\": 18,\n \"path\": \"/data/gen_simple.py\",\n \"repo_name\": \"qinzhewudao/GraduationProject\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"\\\"\\\"\\\"\\nUsed to generate the simple dataset for testing.\\nGenerates a dataset with 1000 tuples, 2 attributes A & B.\\nEach attribute takes values randomly from 1 to 1000.\\n\\\"\\\"\\\"\\n\\nimport os\\nimport random\\n\\nif __name__ == \\\"__main__\\\":\\n dir_path = os.path.dirname(os.path.realpath(__file__))\\n os.chdir(dir_path)\\n if not os.path.isdir(\\\"simple\\\"):\\n os.system(\\\"mkdir simple\\\")\\n\\n os.chdir(\\\"simple\\\")\\n rands = [\\\"%d|%d\\\\n\\\" % (random.randint(1,1000), random.randint(1,1000)) for i in xrange(0,1000)]\\n open(\\\"simple.txt\\\", \\\"w\\\").write(\\\"\\\".join(rands))\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.6338028311729431,\n \"alphanum_fraction\": 0.6338028311729431,\n \"avg_line_length\": 9.142857551574707,\n \"blob_id\": \"5632a3bca2cdd260af4b6978fde9de96d6803c95\",\n \"content_id\": \"6b889e20f2cb71f9705a79d22c44a77d7097c842\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Java\",\n \"length_bytes\": 71,\n \"license_type\": \"no_license\",\n \"max_line_length\": 28,\n \"num_lines\": 7,\n \"path\": \"/src/test/java/core/adapt/spark/TPCHQueryTest.java\",\n \"repo_name\": \"qinzhewudao/GraduationProject\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"package core.adapt.spark;\\n\\n/**\\n * .\\n */\\npublic class TPCHQueryTest {\\n}\\n\"\n },\n {\n \"alpha_fraction\": 0.5169643759727478,\n \"alphanum_fraction\": 0.5368112921714783,\n \"avg_line_length\": 36.521278381347656,\n \"blob_id\": \"e6d74870996e7e37f769d3b10a25b5ea18170d5b\",\n \"content_id\": \"8600a55e55dd6bee64c0c3e7ae012a41fd634493\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Java\",\n \"length_bytes\": 21204,\n \"license_type\": \"no_license\",\n \"max_line_length\": 134,\n \"num_lines\": 564,\n \"path\": \"/src/main/java/perf/benchmark/TPCHSparkJoinWorkload.java\",\n \"repo_name\": \"qinzhewudao/GraduationProject\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"package perf.benchmark;\\n\\nimport core.utils.ConfUtils;\\nimport core.utils.TypeUtils.SimpleDate;\\nimport org.apache.hadoop.mapred.FileInputFormat;\\nimport org.apache.spark.SparkConf;\\nimport org.apache.spark.api.java.JavaSparkContext;\\nimport org.apache.spark.sql.DataFrame;\\nimport org.apache.spark.sql.SQLContext;\\n\\nimport java.util.Calendar;\\nimport java.util.GregorianCalendar;\\nimport java.util.Random;\\n\\n/**\\n * Created by ylu on 1/4/16.\\n */\\n\\n\\npublic class TPCHSparkJoinWorkload {\\n\\n private ConfUtils cfg;\\n\\n private String lineitem = \\\"lineitem\\\", orders = \\\"orders\\\", customer = \\\"customer\\\", supplier = \\\"supplier\\\", part = \\\"part\\\";\\n\\n private static String[] mktSegmentVals = new\\n String[]{\\\"AUTOMOBILE\\\", \\\"BUILDING\\\", \\\"FURNITURE\\\", \\\"HOUSEHOLD\\\", \\\"MACHINERY\\\"};\\n private static String[] regionNameVals = new\\n String[]{\\\"AFRICA\\\", \\\"AMERICA\\\", \\\"ASIA\\\", \\\"EUROPE\\\", \\\"MIDDLE EAST\\\"};\\n private static String[] partTypeVals = new\\n String[]{\\\"BRASS\\\", \\\"COPPER\\\", \\\"NICKEL\\\", \\\"STEEL\\\", \\\"TIN\\\"};\\n private static String[] shipModeVals = new\\n String[]{\\\"AIR\\\", \\\"FOB\\\", \\\"MAIL\\\", \\\"RAIL\\\", \\\"REG AIR\\\", \\\"SHIP\\\", \\\"TRUCK\\\"};\\n\\n\\n private int method;\\n private int numQueries;\\n\\n private Random rand;\\n\\n private JavaSparkContext ctx;\\n private SQLContext sqlContext;\\n\\n public void setUp() {\\n cfg = new ConfUtils(BenchmarkSettings.conf);\\n rand = new Random();\\n // Making things more deterministic.\\n rand.setSeed(0);\\n\\n SparkConf sconf = new SparkConf().setMaster(cfg.getSPARK_MASTER())\\n .setAppName(this.getClass().getName())\\n .setSparkHome(cfg.getSPARK_HOME())\\n .setJars(new String[]{cfg.getSPARK_APPLICATION_JAR()})\\n .set(\\\"spark.hadoop.cloneConf\\\", \\\"false\\\")\\n .set(\\\"spark.executor.memory\\\", cfg.getSPARK_EXECUTOR_MEMORY())\\n .set(\\\"spark.driver.memory\\\", cfg.getSPARK_DRIVER_MEMORY())\\n .set(\\\"spark.task.cpus\\\", cfg.getSPARK_TASK_CPUS());\\n\\n try {\\n sconf.registerKryoClasses(new Class<?>[]{\\n Class.forName(\\\"org.apache.hadoop.io.LongWritable\\\"),\\n Class.forName(\\\"org.apache.hadoop.io.Text\\\")\\n });\\n } catch (ClassNotFoundException e) {\\n e.printStackTrace();\\n }\\n\\n ctx = new JavaSparkContext(sconf);\\n ctx.hadoopConfiguration().setBoolean(\\n FileInputFormat.INPUT_DIR_RECURSIVE, true);\\n ctx.hadoopConfiguration().set(\\\"fs.hdfs.impl\\\",\\n org.apache.hadoop.hdfs.DistributedFileSystem.class.getName());\\n\\n sqlContext = new SQLContext(ctx);\\n\\n // Create customer table\\n String customerPath = cfg.getHDFS_WORKING_DIR() + \\\"/\\\" + customer + \\\"/data\\\";\\n\\n sqlContext.sql(\\\"CREATE TEMPORARY TABLE customer (c_custkey int, c_name string, c_address string, \\\"\\n + \\\"c_phone string, c_acctbal double, c_mktsegment string , c_nation string, c_region string) \\\"\\n + \\\"USING com.databricks.spark.csv \\\"\\n + \\\"OPTIONS (path \\\\\\\"\\\" + customerPath + \\\"\\\\\\\", header \\\\\\\"false\\\\\\\", delimiter \\\\\\\"|\\\\\\\")\\\");\\n\\n // Create order table.\\n String ordersPath = cfg.getHDFS_WORKING_DIR() + \\\"/\\\" + orders + \\\"/data\\\";\\n\\n sqlContext.sql(\\\"CREATE TEMPORARY TABLE orders (o_orderkey long, o_custkey int, \\\"\\n + \\\"o_orderstatus string, o_totalprice double, o_orderdate string, \\\"\\n + \\\"o_orderpriority string, o_clerk string, o_shippriority int) \\\"\\n + \\\"USING com.databricks.spark.csv \\\"\\n + \\\"OPTIONS (path \\\\\\\"\\\" + ordersPath + \\\"\\\\\\\", header \\\\\\\"false\\\\\\\", delimiter \\\\\\\"|\\\\\\\")\\\");\\n\\n\\n // Create lineitem table.\\n String lineitemPath = cfg.getHDFS_WORKING_DIR() + \\\"/\\\" + lineitem + \\\"/data\\\";\\n\\n sqlContext.sql(\\\"CREATE TEMPORARY TABLE lineitem (l_orderkey long, l_partkey int, l_suppkey int, \\\"\\n + \\\"l_linenumber int, l_quantity double, l_extendedprice double, l_discount double, \\\"\\n + \\\"l_tax double, l_returnflag string, l_linestatus string, l_shipdate string, \\\"\\n + \\\"l_commitdate string, l_receiptdate string, l_shipinstruct string, l_shipmode string) \\\"\\n + \\\"USING com.databricks.spark.csv \\\"\\n + \\\"OPTIONS (path \\\\\\\"\\\" + lineitemPath + \\\"\\\\\\\", header \\\\\\\"false\\\\\\\", delimiter \\\\\\\"|\\\\\\\")\\\");\\n\\n // Create supplier table.\\n String supplierPath = cfg.getHDFS_WORKING_DIR() + \\\"/\\\" + supplier + \\\"/data\\\";\\n\\n sqlContext.sql(\\\"CREATE TEMPORARY TABLE supplier (s_suppkey int, s_name string, s_address string, \\\"\\n + \\\"s_phone string, s_acctbal double, s_nation string, s_region string) \\\"\\n + \\\"USING com.databricks.spark.csv \\\"\\n + \\\"OPTIONS (path \\\\\\\"\\\" + supplierPath + \\\"\\\\\\\", header \\\\\\\"false\\\\\\\", delimiter \\\\\\\"|\\\\\\\")\\\");\\n\\n\\n\\n // Create path table.\\n String partPath = cfg.getHDFS_WORKING_DIR() + \\\"/\\\" + part + \\\"/data\\\";\\n\\n sqlContext.sql(\\\"CREATE TEMPORARY TABLE part (p_partkey int, p_name string, p_mfgr string, p_brand string, \\\"\\n + \\\"p_type string, p_size int, p_container string, p_retailprice double) \\\"\\n + \\\"USING com.databricks.spark.csv \\\"\\n + \\\"OPTIONS (path \\\\\\\"\\\" + partPath + \\\"\\\\\\\", header \\\\\\\"false\\\\\\\", delimiter \\\\\\\"|\\\\\\\")\\\");\\n\\n\\n }\\n\\n\\n public void loadSettings(String[] args) {\\n int counter = 0;\\n while (counter < args.length) {\\n switch (args[counter]) {\\n case \\\"--method\\\":\\n method = Integer.parseInt(args[counter + 1]);\\n counter += 2;\\n break;\\n case \\\"--numQueries\\\":\\n numQueries = Integer.parseInt(args[counter + 1]);\\n counter += 2;\\n break;\\n default:\\n // Something we don't use\\n counter += 2;\\n break;\\n }\\n }\\n }\\n\\n\\n /*\\n select\\n count(*)\\n from\\n customer,\\n orders,\\n lineitem\\n where\\n c_custkey = o_custkey\\n and l_orderkey = o_orderkey\\n and c_mktsegment = '[SEGMENT]'\\n and o_orderdate < date '[DATE]'\\n and l_shipdate > date '[DATE]'\\n\\n (lineitem ⋈ orders) ⋈ customer\\n */\\n\\n public void tpch3() {\\n int rand_3 = rand.nextInt(mktSegmentVals.length);\\n String c_mktsegment = mktSegmentVals[rand_3];\\n Calendar c = new GregorianCalendar();\\n int dateOffset = (int) (rand.nextFloat() * (31 + 28 + 31));\\n c.set(1995, Calendar.MARCH, 01);\\n c.add(Calendar.DAY_OF_MONTH, dateOffset);\\n SimpleDate d3 = new SimpleDate(c.get(Calendar.YEAR),\\n c.get(Calendar.MONTH), c.get(Calendar.DAY_OF_MONTH));\\n\\n String customerPredicate = \\\"c_mktsegment <= \\\\\\\"\\\" + c_mktsegment + \\\"\\\\\\\"\\\";\\n String ordersPredicate = \\\"o_orderdate < \\\\\\\"\\\" + d3 + \\\"\\\\\\\"\\\";\\n String lineitemPredicate = \\\"l_shipdate > \\\\\\\"\\\" + d3 + \\\"\\\\\\\"\\\";\\n\\n\\n if (rand_3 > 0) {\\n String c_mktsegment_prev = mktSegmentVals[rand_3 - 1];\\n customerPredicate = \\\"c_mktsegment > \\\\\\\"\\\" + c_mktsegment_prev + \\\"\\\\\\\" and \\\" + customerPredicate;\\n }\\n\\n long start = System.currentTimeMillis();\\n\\n System.out.println(\\\"SELECT * \\\"\\n + \\\"FROM lineitem JOIN orders ON l_orderkey = o_orderkey JOIN customer ON o_custkey = c_custkey \\\"\\n + \\\"WHERE \\\" + lineitemPredicate + \\\" and \\\" + ordersPredicate + \\\" and \\\" + customerPredicate);\\n\\n DataFrame df = sqlContext.sql(\\\"SELECT * \\\"\\n + \\\"FROM lineitem JOIN orders ON l_orderkey = o_orderkey JOIN customer ON o_custkey = c_custkey \\\"\\n + \\\"WHERE \\\" + lineitemPredicate + \\\" and \\\" + ordersPredicate + \\\" and \\\" + customerPredicate);\\n\\n long result = df.count(); // 29569\\n System.out.println(\\\"RES: Time Taken: \\\" + (System.currentTimeMillis() - start) + \\\"; Result: \\\" + result);\\n }\\n\\n /*\\n select\\n\\t count(*)\\n from\\n customer,\\n orders,\\n lineitem,\\n supplier\\n where\\n c_custkey = o_custkey\\n and l_orderkey = o_orderkey\\n and l_suppkey = s_suppkey\\n and c_region = '[REGION]'\\n and s_region = '[REGION]'\\n and o_orderdate >= date '[DATE]'\\n and o_orderdate < date '[DATE]' + interval '1' year\\n\\n ((customer ⋈ orders) ⋈ lineitem) ⋈ supplier\\n */\\n\\n public void tpch5() {\\n int rand_5 = rand.nextInt(regionNameVals.length);\\n String r_name_5 = regionNameVals[rand_5];\\n int year_5 = 1993 + rand.nextInt(5);\\n SimpleDate d5_1 = new SimpleDate(year_5, 1, 1);\\n SimpleDate d5_2 = new SimpleDate(year_5 + 1, 1, 1);\\n\\n String customerPredicate = \\\"c_region <= \\\\\\\"\\\" + r_name_5 + \\\"\\\\\\\"\\\";\\n String supplierPredicate = \\\"s_region <= \\\\\\\"\\\" + r_name_5 + \\\"\\\\\\\"\\\";\\n String ordersPredicate = \\\"o_orderdate >= \\\\\\\"\\\" + d5_1 + \\\"\\\\\\\" and o_orderdate < \\\\\\\"\\\" + d5_2 + \\\"\\\\\\\"\\\";\\n\\n if (rand_5 > 0) {\\n String r_name_prev_5 = regionNameVals[rand_5 - 1];\\n customerPredicate = \\\"c_region > \\\\\\\"\\\" + r_name_prev_5 + \\\"\\\\\\\" and \\\" + customerPredicate;\\n supplierPredicate = \\\"s_region > \\\\\\\"\\\" + r_name_prev_5 + \\\"\\\\\\\" and \\\" + supplierPredicate;\\n }\\n\\n long start = System.currentTimeMillis();\\n\\n System.out.println(\\\"SELECT * \\\"\\n + \\\"FROM customer JOIN orders ON c_custkey = o_custkey \\\"\\n + \\\"JOIN lineitem ON l_orderkey = o_orderkey \\\"\\n + \\\"JOIN supplier ON l_suppkey = s_suppkey \\\"\\n + \\\"WHERE \\\" + customerPredicate + \\\" and \\\" + ordersPredicate + \\\" and \\\" + supplierPredicate);\\n\\n DataFrame df = sqlContext.sql(\\\"SELECT * \\\"\\n + \\\"FROM customer JOIN orders ON c_custkey = o_custkey \\\"\\n + \\\"JOIN lineitem ON l_orderkey = o_orderkey \\\"\\n + \\\"JOIN supplier ON l_suppkey = s_suppkey \\\"\\n + \\\"WHERE \\\" + customerPredicate + \\\" and \\\" + ordersPredicate + \\\" and \\\" + supplierPredicate);\\n\\n long result = df.count(); // 35307\\n System.out.println(\\\"RES: Time Taken: \\\" + (System.currentTimeMillis() - start) + \\\"; Result: \\\" + result);\\n }\\n\\n /*\\n select\\n count(*)\\n from\\n lineitem\\n where\\n l_shipdate >= date '[DATE]'\\n and l_shipdate < date '[DATE]' + interval '1' year\\n and l_discount between [DISCOUNT] - 0.01 and [DISCOUNT] + 0.01\\n and l_quantity < [QUANTITY];\\n */\\n\\n public void tpch6() {\\n int year_6 = 1993 + rand.nextInt(5);\\n SimpleDate d6_1 = new SimpleDate(year_6, 1, 1);\\n SimpleDate d6_2 = new SimpleDate(year_6 + 1, 1, 1);\\n double discount = rand.nextDouble() * 0.07 + 0.02;\\n double quantity = rand.nextInt(2) + 24.0;\\n\\n String lineitemPredicate = \\\"l_shipdate >= \\\\\\\"\\\" + d6_1 + \\\"\\\\\\\" and l_shipdate < \\\\\\\"\\\" + d6_2 + \\\"\\\\\\\" and \\\"\\n + \\\" l_discount > \\\" + (discount - 0.01) + \\\" and l_discount <= \\\" + (discount + 0.01)\\n + \\\" and l_quantity <= \\\" + quantity;\\n\\n long start = System.currentTimeMillis();\\n\\n System.out.println(\\\"SELECT * \\\"\\n + \\\"FROM lineitem \\\"\\n + \\\"WHERE \\\" + lineitemPredicate);\\n\\n DataFrame df = sqlContext.sql(\\\"SELECT * \\\"\\n + \\\"FROM lineitem \\\"\\n + \\\"WHERE \\\" + lineitemPredicate);\\n\\n long result = df.count(); // 83063\\n System.out.println(\\\"RES: Time Taken: \\\" + (System.currentTimeMillis() - start) + \\\"; Result: \\\" + result);\\n }\\n\\n\\n /*\\n select\\n count(*)\\n from\\n part,\\n lineitem,\\n orders,\\n customer\\n where\\n p_partkey = l_partkey\\n and l_orderkey = o_orderkey\\n and o_custkey = c_custkey\\n and c_region = '[REGION]'\\n and o_orderdate between date '1995-01-01' and date '1996-12-31'\\n and p_type = '[TYPE]'\\n\\n ((lineitem ⋈ orders) ⋈ customer) ⋈ part\\n */\\n\\n public void tpch8() {\\n int rand_8_1 = rand.nextInt(regionNameVals.length);\\n String r_name_8 = regionNameVals[rand_8_1];\\n SimpleDate d8_1 = new SimpleDate(1995, 1, 1);\\n SimpleDate d8_2 = new SimpleDate(1996, 12, 31);\\n String p_type_8 = partTypeVals[rand.nextInt(partTypeVals.length)];\\n\\n\\n String customerPredicate = \\\"c_region <= \\\\\\\"\\\" + r_name_8 + \\\"\\\\\\\"\\\";\\n String ordersPredicate = \\\"o_orderdate >= \\\\\\\"\\\" + d8_1 + \\\"\\\\\\\" and o_orderdate < \\\\\\\"\\\" + d8_2 + \\\"\\\\\\\"\\\";\\n String partPredicate = \\\"p_type = \\\\\\\"\\\" + p_type_8 + \\\"\\\\\\\"\\\";\\n\\n\\n if (rand_8_1 > 0) {\\n String r_name_prev_8 = regionNameVals[rand_8_1 - 1];\\n customerPredicate = \\\"c_region > \\\\\\\"\\\" + r_name_prev_8 + \\\"\\\\\\\" and \\\" + customerPredicate;\\n }\\n\\n long start = System.currentTimeMillis();\\n\\n System.out.println(\\\"SELECT * \\\"\\n + \\\"FROM customer JOIN orders ON c_custkey = o_custkey \\\"\\n + \\\"JOIN lineitem ON l_orderkey = o_orderkey \\\"\\n + \\\"JOIN part ON l_partkey = p_partkey \\\"\\n + \\\"WHERE \\\" + customerPredicate + \\\" and \\\" + ordersPredicate + \\\" and \\\" + partPredicate);\\n\\n DataFrame df = sqlContext.sql(\\\"SELECT * \\\"\\n + \\\"FROM customer JOIN orders ON c_custkey = o_custkey \\\"\\n + \\\"JOIN lineitem ON l_orderkey = o_orderkey \\\"\\n + \\\"JOIN part ON l_partkey = p_partkey \\\"\\n + \\\"WHERE \\\" + customerPredicate + \\\" and \\\" + ordersPredicate + \\\" and \\\" + partPredicate);\\n\\n long result = df.count(); // 0\\n System.out.println(\\\"RES: Time Taken: \\\" + (System.currentTimeMillis() - start) + \\\"; Result: \\\" + result);\\n }\\n\\n /*\\n select\\n count(*)\\n from\\n orders,\\n lineitem,\\n customer\\n where\\n l_orderkey = o_orderkey\\n and c_custkey = o_custkey\\n and o_orderdate >= date '[DATE]'\\n and o_orderdate < date '[DATE]' + interval '3' month\\n and l_returnflag = 'R'\\n\\n (lineitem ⋈ orders) ⋈ customer\\n */\\n\\n\\n public void tpch10() {\\n String l_returnflag_10 = \\\"R\\\";\\n String l_returnflag_prev_10 = \\\"N\\\";\\n int year_10 = 1993;\\n int monthOffset = rand.nextInt(24);\\n SimpleDate d10_1 = new SimpleDate(year_10 + monthOffset / 12, monthOffset % 12 + 1, 1);\\n monthOffset = monthOffset + 3;\\n SimpleDate d10_2 = new SimpleDate(year_10 + monthOffset / 12, monthOffset % 12 + 1, 1);\\n\\n String ordersPredicate = \\\"o_orderdate >= \\\\\\\"\\\" + d10_1 + \\\"\\\\\\\" and o_orderdate < \\\\\\\"\\\" + d10_2 + \\\"\\\\\\\"\\\";\\n String lineitemPredicate = \\\"l_returnflag <= \\\\\\\"\\\" + l_returnflag_10 + \\\"\\\\\\\" and l_returnflag > \\\\\\\"\\\" + l_returnflag_prev_10 + \\\"\\\\\\\"\\\";\\n\\n long start = System.currentTimeMillis();\\n\\n System.out.println(\\\"SELECT * \\\"\\n + \\\"FROM lineitem JOIN orders ON l_orderkey = o_orderkey \\\"\\n + \\\"JOIN customer ON c_custkey = o_custkey \\\"\\n + \\\"WHERE \\\" + ordersPredicate + \\\" and \\\" + lineitemPredicate);\\n\\n DataFrame df = sqlContext.sql(\\\"SELECT * \\\"\\n + \\\"FROM lineitem JOIN orders ON l_orderkey = o_orderkey \\\"\\n + \\\"JOIN customer ON c_custkey = o_custkey \\\"\\n + \\\"WHERE \\\" + ordersPredicate + \\\" and \\\" + lineitemPredicate);\\n\\n long result = df.count(); // 111918\\n System.out.println(\\\"RES: Time Taken: \\\" + (System.currentTimeMillis() - start) + \\\"; Result: \\\" + result);\\n }\\n\\n /*\\n select\\n count(*)\\n from\\n orders,\\n lineitem\\n where\\n o_orderkey = l_orderkey\\n and l_shipmode in ('[SHIPMODE1]', '[SHIPMODE2]')\\n and l_receiptdate >= date '[DATE]'\\n and l_receiptdate < date '[DATE]' + interval '1' year\\n\\n lineitem ⋈ orders\\n */\\n\\n public void tpch12() {\\n int rand_12 = rand.nextInt(shipModeVals.length);\\n String shipmode_12 = shipModeVals[rand_12];\\n int year_12 = 1993 + rand.nextInt(5);\\n SimpleDate d12_1 = new SimpleDate(year_12, 1, 1);\\n SimpleDate d12_2 = new SimpleDate(year_12 + 1, 1, 1);\\n\\n String lineitemPredicate = \\\"l_shipmode <= \\\\\\\"\\\" + shipmode_12 + \\\"\\\\\\\" and l_receiptdate >= \\\\\\\"\\\" + d12_1 + \\\"\\\\\\\" and \\\"\\n + \\\"l_receiptdate < \\\\\\\"\\\" + d12_2 + \\\"\\\\\\\"\\\";\\n\\n if (rand_12 > 0) {\\n String shipmode_prev_12 = shipModeVals[rand_12 - 1];\\n lineitemPredicate = \\\"l_shipmode > \\\\\\\"\\\" + shipmode_prev_12 + \\\"\\\\\\\" and \\\" + lineitemPredicate;\\n }\\n\\n long start = System.currentTimeMillis();\\n\\n System.out.println(\\\"SELECT * \\\"\\n + \\\"FROM lineitem JOIN orders ON l_orderkey = o_orderkey \\\"\\n + \\\"WHERE \\\" + lineitemPredicate);\\n\\n DataFrame df = sqlContext.sql(\\\"SELECT * \\\"\\n + \\\"FROM lineitem JOIN orders ON l_orderkey = o_orderkey \\\"\\n + \\\"WHERE \\\" + lineitemPredicate);\\n\\n long result = df.count(); // 130474\\n System.out.println(\\\"RES: Time Taken: \\\" + (System.currentTimeMillis() - start) + \\\"; Result: \\\" + result);\\n }\\n\\n /*\\n select\\n count(*)\\n from\\n lineitem,\\n part\\n where\\n l_partkey = p_partkey\\n and l_shipdate >= date '[DATE]'\\n and l_shipdate < date '[DATE]' + interval '1' month;\\n\\n lineitem ⋈ part\\n */\\n\\n public void tpch14() {\\n int year_14 = 1993;\\n int monthOffset_14 = rand.nextInt(60);\\n SimpleDate d14_1 = new SimpleDate(year_14 + monthOffset_14 / 12, monthOffset_14 % 12 + 1, 1);\\n monthOffset_14 += 1;\\n SimpleDate d14_2 = new SimpleDate(year_14 + monthOffset_14 / 12, monthOffset_14 % 12 + 1, 1);\\n\\n String lineitemPredicate = \\\"l_shipdate >= \\\\\\\"\\\" + d14_1 + \\\"\\\\\\\" and l_shipdate < \\\\\\\"\\\" + d14_2 + \\\"\\\\\\\"\\\";\\n\\n long start = System.currentTimeMillis();\\n\\n System.out.println(\\\"SELECT * \\\"\\n + \\\"FROM lineitem JOIN part ON l_partkey = p_partkey \\\"\\n + \\\"WHERE \\\" + lineitemPredicate);\\n\\n DataFrame df = sqlContext.sql(\\\"SELECT * \\\"\\n + \\\"FROM lineitem JOIN part ON l_partkey = p_partkey \\\"\\n + \\\"WHERE \\\" + lineitemPredicate);\\n\\n long result = df.count(); // 76860\\n System.out.println(\\\"RES: Time Taken: \\\" + (System.currentTimeMillis() - start) + \\\"; Result: \\\" + result);\\n }\\n\\n /*\\n select\\n count(*)\\n from\\n lineitem,\\n part\\n where\\n p_partkey = l_partkey\\n and l_shipinstruct = ‘DELIVER IN PERSON’\\n and p_brand = ‘[BRAND]’\\n and p_container = ‘SM CASE’\\n and l_quantity >= [QUANTITY]\\n and l_quantity <= [QUANTITY] + 10\\n and p_size between 1 and 5\\n and l_shipmode <= ‘AIR REG’\\n\\n lineitem ⋈ part\\n */\\n\\n public void tpch19() {\\n String brand_19 = \\\"Brand#\\\" + (rand.nextInt(5) + 1) + \\\"\\\" + (rand.nextInt(5) + 1);\\n String shipInstruct_19 = \\\"DELIVER IN PERSON\\\";\\n double quantity_19 = rand.nextInt(10) + 1;\\n\\n String lineitemPredicate = \\\"l_shipinstruct = \\\\\\\"\\\" + shipInstruct_19 + \\\"\\\\\\\" and l_quantity > \\\" + quantity_19;\\n String partPredicate = \\\"p_brand = \\\\\\\"\\\" + brand_19 + \\\"\\\\\\\" and p_container = \\\\\\\"SM CASE\\\\\\\"\\\";\\n quantity_19 += 10;\\n\\n lineitemPredicate = lineitemPredicate + \\\" and l_quantity <= \\\" + quantity_19 + \\\" and l_shipmode <= \\\\\\\"AIR\\\\\\\"\\\";\\n partPredicate = partPredicate + \\\" and p_size >= 1 and p_size <= 5\\\";\\n\\n long start = System.currentTimeMillis();\\n\\n System.out.println(\\\"SELECT * \\\"\\n + \\\"FROM lineitem JOIN part ON l_partkey = p_partkey \\\"\\n + \\\"WHERE \\\" + lineitemPredicate + \\\" and \\\" + partPredicate);\\n\\n DataFrame df = sqlContext.sql(\\\"SELECT * \\\"\\n + \\\"FROM lineitem JOIN part ON l_partkey = p_partkey \\\"\\n + \\\"WHERE \\\" + lineitemPredicate + \\\" and \\\" + partPredicate);\\n\\n long result = df.count(); // 10\\n System.out.println(\\\"RES: Time Taken: \\\" + (System.currentTimeMillis() - start) + \\\"; Result: \\\" + result);\\n }\\n\\n public void runWorkload() {\\n System.out.println(\\\"Run TPCH-3\\\");\\n rand.setSeed(0);\\n tpch3();\\n System.out.println(\\\"Run TPCH-5\\\");\\n rand.setSeed(0);\\n tpch5();\\n System.out.println(\\\"Run TPCH-6\\\");\\n rand.setSeed(0);\\n tpch6();\\n System.out.println(\\\"Run TPCH-8\\\");\\n rand.setSeed(0);\\n tpch8();\\n System.out.println(\\\"Run TPCH-10\\\");\\n rand.setSeed(0);\\n tpch10();\\n System.out.println(\\\"Run TPCH-12\\\");\\n rand.setSeed(0);\\n tpch12();\\n System.out.println(\\\"Run TPCH-14\\\");\\n rand.setSeed(0);\\n tpch14();\\n System.out.println(\\\"Run TPCH-19\\\");\\n rand.setSeed(0);\\n tpch19();\\n }\\n\\n public static void main(String[] args) {\\n\\n BenchmarkSettings.loadSettings(args);\\n BenchmarkSettings.printSettings();\\n\\n TPCHSparkJoinWorkload t = new TPCHSparkJoinWorkload();\\n t.loadSettings(args);\\n t.setUp();\\n\\n switch (t.method) {\\n case 1:\\n t.runWorkload();\\n break;\\n\\n default:\\n break;\\n }\\n\\n }\\n}\\n\"\n },\n {\n \"alpha_fraction\": 0.6263736486434937,\n \"alphanum_fraction\": 0.692307710647583,\n \"avg_line_length\": 28.1200008392334,\n \"blob_id\": \"9ee2fa86c249a0c0fa7f6341579c9735a529898a\",\n \"content_id\": \"6dcbcf6a276ff199c725754c6e424c3c501cacd4\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Gradle\",\n \"length_bytes\": 728,\n \"license_type\": \"no_license\",\n \"max_line_length\": 68,\n \"num_lines\": 25,\n \"path\": \"/build.gradle\",\n \"repo_name\": \"qinzhewudao/GraduationProject\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"group 'com.sy.GraduationProject'\\nversion '1.0-SNAPSHOT'\\n\\napply plugin: 'java'\\n\\nsourceCompatibility = 1.8\\n\\nrepositories {\\n mavenCentral()\\n}\\n\\ndependencies {\\n compile 'org.slf4j:slf4j-api:1.7.12'\\n compile 'org.apache.hadoop:hadoop-common:2.6.0'\\n compile 'org.apache.hadoop:hadoop-hdfs:2.6.0'\\n compile 'org.apache.hadoop:hadoop-mapreduce-client-common:2.6.0'\\n compile 'org.apache.spark:spark-core_2.11:1.6.0'\\n compile 'org.apache.spark:spark-sql_2.11:1.6.0'\\n compile 'com.databricks:spark-csv_2.11:1.3.0'\\n compile 'org.apache.commons:commons-math3:3.5'\\n compile 'org.apache.commons:commons-csv:1.2'\\n compile 'junit:junit:4.12'\\n //\\n testCompile group: 'junit', name: 'junit', version: '4.12'\\n}\\n\"\n },\n {\n \"alpha_fraction\": 0.6622315645217896,\n \"alphanum_fraction\": 0.6666666865348816,\n \"avg_line_length\": 23.620689392089844,\n \"blob_id\": \"72542bd9ba5042b3549fb72832cd45ea136f4a4d\",\n \"content_id\": \"6a7e32e390597a74bac8bbde99895d5042eb3fb7\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Java\",\n \"length_bytes\": 4284,\n \"license_type\": \"no_license\",\n \"max_line_length\": 91,\n \"num_lines\": 174,\n \"path\": \"/src/main/java/perf/benchmark/CMTWorkload.java\",\n \"repo_name\": \"qinzhewudao/GraduationProject\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"package perf.benchmark;\\n\\nimport core.adapt.Predicate;\\nimport core.adapt.Predicate.PREDTYPE;\\nimport core.adapt.Query;\\nimport core.adapt.spark.SparkQuery;\\nimport core.common.globals.Globals;\\nimport core.common.globals.TableInfo;\\nimport core.utils.ConfUtils;\\nimport core.utils.HDFSUtils;\\nimport core.utils.TypeUtils;\\nimport core.utils.TypeUtils.TYPE;\\nimport org.apache.hadoop.fs.FileSystem;\\n\\nimport java.util.ArrayList;\\nimport java.util.List;\\n\\npublic class CMTWorkload {\\n\\tpublic ConfUtils cfg;\\n\\n\\tpublic String schemaString;\\n\\n\\tint numFields;\\n\\n\\tint method;\\n\\n String tableName;\\n\\n TableInfo tableInfo;\\n\\n\\tpublic void setUp() {\\n\\t\\ttableName = \\\"cmt\\\";\\n\\n\\t\\tcfg = new ConfUtils(BenchmarkSettings.conf);\\n\\t\\tFileSystem fs = HDFSUtils.getFSByHadoopHome(cfg.getHADOOP_HOME());\\n\\n\\t\\t// Load table info.\\n\\t\\tGlobals.loadTableInfo(tableName, cfg.getHDFS_WORKING_DIR(), fs);\\n\\t\\ttableInfo = Globals.getTableInfo(tableName);\\n\\t\\tassert tableInfo != null;\\n\\t}\\n\\n\\tpublic Predicate getPredicate(String pred) {\\n\\t\\tString[] parts = pred.split(\\\" \\\");\\n\\n\\t\\tint attrId = tableInfo.schema.getAttributeId(parts[0].trim());\\n\\t\\t\\n\\t\\tif (attrId == -1) {\\n\\t\\t\\tthrow new RuntimeException(\\\"Unknown attr: \\\" + parts[0].trim());\\n\\t\\t}\\n\\t\\t\\n\\t\\tTYPE attrType = tableInfo.schema.getType(attrId);\\n\\t\\tObject value = TypeUtils.deserializeValue(attrType, parts[2].trim().replaceAll(\\\"'\\\", \\\"\\\"));\\n\\t\\tString predTypeStr = parts[1].trim();\\n\\t\\tPREDTYPE predType;\\n\\t\\tswitch (predTypeStr) {\\n\\t\\tcase \\\">\\\":\\n\\t\\t\\tpredType = PREDTYPE.GT;\\n\\t\\t\\tbreak;\\n\\t\\tcase \\\">=\\\":\\n\\t\\t\\tpredType = PREDTYPE.GEQ;\\n\\t\\t\\tbreak;\\n\\t\\tcase \\\"<\\\":\\n\\t\\t\\tpredType = PREDTYPE.LT;\\n\\t\\t\\tbreak;\\n\\t\\tcase \\\"<=\\\":\\n\\t\\t\\tpredType = PREDTYPE.LEQ;\\n\\t\\t\\tbreak;\\n\\t\\tcase \\\"=\\\":\\n\\t\\t\\tpredType = PREDTYPE.EQ;\\n\\t\\t\\tbreak;\\n\\t\\tdefault:\\n\\t\\t\\tthrow new RuntimeException(\\\"Unknown predType \\\" + predTypeStr);\\n\\t\\t}\\n\\n\\t\\tPredicate p = new Predicate(tableInfo, parts[0].trim(), attrType, value, predType);\\n\\t\\treturn p;\\n\\t}\\n\\t\\n\\tpublic List<Query> generateWorkload() {\\n\\t\\tbyte[] stringBytes = HDFSUtils.readFile(\\n\\t\\t\\t\\tHDFSUtils.getFSByHadoopHome(cfg.getHADOOP_HOME()),\\n\\t\\t\\t\\t\\\"/user/mdindex/cmt_queries.log\\\");\\n\\t\\tString queriesString = new String(stringBytes);\\n\\t\\tString[] queries = queriesString.split(\\\"\\\\n\\\");\\n\\t\\tList<Query> ret = new ArrayList<Query>();\\n\\t\\tfor (int i=0; i<queries.length; i++) {\\n\\t\\t\\tString queryString = queries[i];\\n\\t\\t\\tString[] parts = queryString.split(\\\"\\\\\\\\|\\\");\\n\\t\\t\\tString[] predicates = parts[1].split(\\\";\\\");\\n\\t\\t\\tList<Predicate> queryPreds = new ArrayList<Predicate>();\\n\\t\\t\\tfor (int j=0; j<predicates.length; j++) {\\n\\t\\t\\t\\tPredicate p = getPredicate(predicates[j]);\\n\\t\\t\\t\\tList<Predicate> preds = p.getNormalizedPredicates();\\n\\t\\t\\t\\tqueryPreds.addAll(preds);\\n\\t\\t\\t}\\n\\t\\t\\tPredicate[] predArray = queryPreds.toArray(new Predicate[queryPreds.size()]);\\n\\t\\t\\tret.add(new Query(tableName, predArray));\\n\\t\\t}\\n\\n\\t\\treturn ret;\\n\\t}\\n\\n public void testWorkload() {\\n\\t\\tlong start, end;\\n\\t\\tSparkQuery sq = new SparkQuery(cfg);\\n\\t\\tList<Query> queries = generateWorkload();\\n\\t\\tfor (Query q: queries) {\\n\\t\\t\\tSystem.out.println(\\\"INFO: Query:\\\" + q.toString());\\n\\t\\t}\\n\\t}\\n\\n\\tpublic void runWorkload() {\\n\\t\\tlong start, end;\\n\\t\\tSparkQuery sq = new SparkQuery(cfg);\\n\\t\\tList<Query> queries = generateWorkload();\\n\\t\\tfor (Query q: queries) {\\n\\t\\t\\tSystem.out.println(\\\"INFO: Query:\\\" + q.toString());\\n\\t\\t}\\n\\n\\t\\tfor (Query q : queries) {\\n\\t\\t\\tstart = System.currentTimeMillis();\\n\\t\\t\\tlong result = sq.createAdaptRDD(cfg.getHDFS_WORKING_DIR(),\\n\\t\\t\\t\\t\\tq).count();\\n\\t\\t\\tend = System.currentTimeMillis();\\n\\t\\t\\tSystem.out.println(\\\"RES: Time Taken: \\\" + (end - start) +\\n\\t\\t\\t\\t\\t\\\"; Result: \\\" + result);\\n\\t\\t}\\n\\t}\\n\\n\\tpublic void loadSettings(String[] args) {\\n\\t\\tint counter = 0;\\n\\t\\twhile (counter < args.length) {\\n\\t\\t\\tswitch (args[counter]) {\\n\\t\\t\\tcase \\\"--schema\\\":\\n\\t\\t\\t\\tschemaString = args[counter + 1];\\n\\t\\t\\t\\tcounter += 2;\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\tcase \\\"--numFields\\\":\\n\\t\\t\\t\\tnumFields = Integer.parseInt(args[counter + 1]);\\n\\t\\t\\t\\tcounter += 2;\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\tcase \\\"--method\\\":\\n\\t\\t\\t\\tmethod = Integer.parseInt(args[counter + 1]);\\n\\t\\t\\t\\tcounter += 2;\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\tdefault:\\n\\t\\t\\t\\t// Something we don't use\\n\\t\\t\\t\\tcounter += 2;\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tpublic static void main(String[] args) {\\n\\t\\tBenchmarkSettings.loadSettings(args);\\n\\t\\tBenchmarkSettings.printSettings();\\n\\n\\t\\tCMTWorkload t = new CMTWorkload();\\n\\t\\tt.loadSettings(args);\\n\\t\\tt.setUp();\\n\\n\\t\\tswitch (t.method) {\\n\\t\\tcase 1:\\n\\t\\t\\tt.runWorkload();\\n\\t\\t\\tbreak;\\n case 2:\\n \\tt.testWorkload();\\n\\t\\t\\tbreak;\\n\\t\\tdefault:\\n\\t\\t\\tbreak;\\n\\t\\t}\\n\\t}\\n}\\n\"\n },\n {\n \"alpha_fraction\": 0.6093429327011108,\n \"alphanum_fraction\": 0.6160164475440979,\n \"avg_line_length\": 24.63157844543457,\n \"blob_id\": \"362b793c4747c671e5b1d5c7d74874e819bcf070\",\n \"content_id\": \"fcdda2c97f27190fb361013bc0c294ee05dd64a0\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Java\",\n \"length_bytes\": 1948,\n \"license_type\": \"no_license\",\n \"max_line_length\": 79,\n \"num_lines\": 76,\n \"path\": \"/src/main/java/core/adapt/JoinQuery.java\",\n \"repo_name\": \"qinzhewudao/GraduationProject\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"package core.adapt;\\n\\n\\nimport java.io.DataOutput;\\nimport java.io.IOException;\\nimport java.io.Serializable;\\n\\nimport core.adapt.Predicate;\\nimport core.adapt.Query;\\nimport org.apache.hadoop.io.Text;\\n\\nimport com.google.common.base.Joiner;\\n\\n/**\\n * Created by ylu on 1/25/16.\\n */\\n\\npublic class JoinQuery implements Serializable {\\n private static final long serialVersionUID = 1L;\\n\\n private Predicate[] predicates;\\n private String table;\\n private int joinAttribute;\\n\\n public JoinQuery(String queryString) {\\n String[] parts = queryString.split(\\\"\\\\\\\\|\\\");\\n this.table = parts[0];\\n this.joinAttribute = Integer.parseInt(parts[1]);\\n if (parts.length > 2) {\\n String predString = parts[2].trim();\\n String[] predParts = predString.split(\\\";\\\");\\n this.predicates = new Predicate[predParts.length];\\n for (int i = 0; i < predParts.length; i++) {\\n this.predicates[i] = new Predicate(predParts[i]);\\n }\\n } else {\\n this.predicates = new Predicate[0];\\n }\\n }\\n\\n public JoinQuery(String table, int joinAttribute, Predicate[] predicates) {\\n this.table = table;\\n this.joinAttribute = joinAttribute;\\n this.predicates = predicates;\\n }\\n\\n public Predicate[] getPredicates() {\\n return this.predicates;\\n }\\n\\n public String getTable() {\\n return this.table;\\n }\\n\\n public int getJoinAttribute(){\\n return this.joinAttribute;\\n }\\n\\n public Query castToQuery(){\\n return new Query(table, predicates);\\n }\\n\\n public void write(DataOutput out) throws IOException {\\n Text.writeString(out, toString());\\n }\\n\\n\\n\\n @Override\\n public String toString() {\\n String stringPredicates = \\\"\\\";\\n if (predicates.length != 0)\\n stringPredicates = Joiner.on(\\\";\\\").join(predicates);\\n return table + \\\"|\\\" + joinAttribute + \\\"|\\\" + stringPredicates;\\n }\\n}\\n\"\n },\n {\n \"alpha_fraction\": 0.6791393756866455,\n \"alphanum_fraction\": 0.6941066384315491,\n \"avg_line_length\": 25.725000381469727,\n \"blob_id\": \"362780ad7a4e4e14cece3a360c004abc1e4673e1\",\n \"content_id\": \"73dd53bbd5351f76201a95b2a468e20eee47d558\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Java\",\n \"length_bytes\": 1069,\n \"license_type\": \"no_license\",\n \"max_line_length\": 100,\n \"num_lines\": 40,\n \"path\": \"/src/test/java/core/common/index/RobustTreeTest.java\",\n \"repo_name\": \"qinzhewudao/GraduationProject\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"package core.common.index;\\n\\nimport core.adapt.Predicate;\\nimport core.adapt.Query;\\nimport core.common.globals.Globals;\\nimport core.common.globals.TableInfo;\\nimport core.common.key.ParsedTupleList;\\nimport core.utils.ConfUtils;\\nimport core.utils.HDFSUtils;\\nimport core.utils.TypeUtils;\\nimport org.apache.hadoop.fs.FileSystem;\\n\\nimport java.util.*;\\n\\n/**\\n * Created by ylu on 2/10/16.\\n */\\npublic class RobustTreeTest {\\n public static void main(String[] args){\\n\\n\\n\\n ConfUtils cfg = new ConfUtils(\\\"/Users/ylu/Documents/workspace/mdindex/conf/ylu.properties\\\");\\n FileSystem fs = HDFSUtils.getFSByHadoopHome(cfg.getHADOOP_HOME());\\n\\n byte[] sampleBytes = HDFSUtils.readFile(fs, \\\"/index\\\");\\n\\n\\n RobustTree rt = new RobustTree();\\n rt.unmarshall(sampleBytes);\\n\\n\\n TypeUtils.SimpleDate d3 = new TypeUtils.SimpleDate(1995,\\n 4, 14);\\n\\n Predicate p = new Predicate(10, TypeUtils.TYPE.DATE, d3, Predicate.PREDTYPE.GT);\\n List<RNode> rr = rt.getMatchingBuckets( new Predicate[]{p});\\n System.out.println();\\n }\\n}\\n\"\n },\n {\n \"alpha_fraction\": 0.5588613152503967,\n \"alphanum_fraction\": 0.5638912916183472,\n \"avg_line_length\": 32.371429443359375,\n \"blob_id\": \"47446f736777073bccb7a7551c9fdf4bca759a8e\",\n \"content_id\": \"63e69029effa02308d439a6c99cb39a26154f72f\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Java\",\n \"length_bytes\": 9348,\n \"license_type\": \"no_license\",\n \"max_line_length\": 152,\n \"num_lines\": 280,\n \"path\": \"/src/main/java/perf/benchmark/CMTJoinWorkload.java\",\n \"repo_name\": \"qinzhewudao/GraduationProject\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"package perf.benchmark;\\n\\nimport core.adapt.JoinQuery;\\nimport core.adapt.Predicate;\\nimport core.adapt.spark.RangePartitioner;\\nimport core.adapt.spark.join.SparkJoinQuery;\\nimport core.common.globals.Schema;\\nimport core.common.globals.TableInfo;\\nimport core.utils.ConfUtils;\\nimport core.utils.HDFSUtils;\\nimport core.utils.RangePartitionerUtils;\\nimport core.utils.TypeUtils;\\nimport org.apache.commons.io.FilenameUtils;\\nimport org.apache.hadoop.fs.FileStatus;\\nimport org.apache.hadoop.fs.FileSystem;\\nimport org.apache.hadoop.fs.Path;\\nimport org.apache.hadoop.io.LongWritable;\\nimport org.apache.hadoop.io.Text;\\nimport org.apache.spark.Partitioner;\\nimport org.apache.spark.api.java.JavaPairRDD;\\nimport org.apache.spark.api.java.JavaRDD;\\nimport scala.Tuple2;\\n\\nimport java.io.FileNotFoundException;\\nimport java.io.IOException;\\nimport java.util.ArrayList;\\nimport java.util.Random;\\n\\n\\npublic class CMTJoinWorkload {\\n\\n private ConfUtils cfg;\\n\\n private Schema schemaMH, schemaMHL, schemaSF;\\n private String stringMH, stringMHL, stringSF;\\n private String MH = \\\"mh\\\", MHL = \\\"mhl\\\", SF = \\\"sf\\\";\\n private TableInfo tableMH, tableMHL, tableSF;\\n\\n private Predicate[] EmptyPredicates = {};\\n\\n\\n private int method;\\n\\n private int numQueries;\\n\\n private Random rand;\\n\\n public void setUp() {\\n cfg = new ConfUtils(BenchmarkSettings.conf);\\n rand = new Random();\\n\\n // Making things more deterministic.\\n rand.setSeed(0);\\n\\n tableMH = new TableInfo(MH, 0, '|', schemaMH);\\n tableMHL = new TableInfo(MHL, 0, '|', schemaMHL);\\n tableSF = new TableInfo(SF, 0, '|', schemaSF);\\n }\\n\\n public void garbageCollect(){\\n FileSystem fs = HDFSUtils.getFSByHadoopHome(cfg.getHADOOP_HOME());\\n\\n tableMH.gc(cfg.getHDFS_WORKING_DIR(), fs);\\n tableMHL.gc(cfg.getHDFS_WORKING_DIR(), fs);\\n tableSF.gc(cfg.getHDFS_WORKING_DIR(), fs);\\n }\\n\\n\\n public void loadSettings(String[] args) {\\n int counter = 0;\\n while (counter < args.length) {\\n switch (args[counter]) {\\n case \\\"--schemaMH\\\":\\n stringMH = args[counter + 1];\\n schemaMH = Schema.createSchema(stringMH);\\n counter += 2;\\n break;\\n case \\\"--schemaMHL\\\":\\n stringMHL = args[counter + 1];\\n schemaMHL = Schema.createSchema(stringMHL);\\n counter += 2;\\n break;\\n case \\\"--schemaSF\\\":\\n stringSF = args[counter + 1];\\n schemaSF = Schema.createSchema(stringSF);\\n counter += 2;\\n break;\\n case \\\"--method\\\":\\n method = Integer.parseInt(args[counter + 1]);\\n counter += 2;\\n break;\\n case \\\"--numQueries\\\":\\n numQueries = Integer.parseInt(args[counter + 1]);\\n counter += 2;\\n break;\\n default:\\n // Something we don't use\\n counter += 2;\\n break;\\n }\\n }\\n }\\n\\n public void cleanup(String path){\\n FileSystem fs = HDFSUtils.getFSByHadoopHome(cfg.getHADOOP_HOME());\\n try {\\n fs.delete(new Path(path), true);\\n } catch (IOException e) {\\n e.printStackTrace();\\n }\\n }\\n\\n\\n public void postProcessing(String path, String tableName, Schema schema) {\\n\\n /* rename part-0000i to i and create an info file*/\\n\\n try {\\n FileSystem fs = HDFSUtils.getFSByHadoopHome(cfg.getHADOOP_HOME());\\n String dest = path + \\\"/data\\\";\\n\\n // delete _SUCCESS\\n\\n fs.delete(new Path(dest + \\\"/_SUCCESS\\\"), false);\\n FileStatus[] fileStatus = fs.listStatus(new Path(dest));\\n\\n for (int i = 0; i < fileStatus.length; i++) {\\n String oldPath = fileStatus[i].getPath().toString();\\n String baseName = FilenameUtils.getBaseName(oldPath);\\n String dir = oldPath.substring(0, oldPath.length() - baseName.length());\\n String newPath = dir + Integer.parseInt(baseName.substring(baseName.indexOf('-') + 1));\\n\\n fs.rename(new Path(oldPath), new Path(newPath));\\n }\\n\\n\\n /* write out a fake (TOTAL_NUM_TUPLES is 0, delimiter is set to '|') info to make HDFSPartition Happy*/\\n\\n TableInfo tableInfo = new TableInfo(tableName, 0, ';', schema);\\n tableInfo.save(cfg.getHDFS_WORKING_DIR(), cfg.getHDFS_REPLICATION_FACTOR(), fs);\\n\\n\\n } catch (FileNotFoundException e) {\\n e.printStackTrace();\\n } catch (IOException e) {\\n e.printStackTrace();\\n }\\n }\\n\\n\\n public Predicate getPredicate(Schema schema, String pred) {\\n String[] parts = pred.split(\\\" \\\");\\n int attrId = schema.getAttributeId(parts[0].trim());\\n\\n if (attrId == -1) {\\n throw new RuntimeException(\\\"Unknown attr: \\\" + parts[0].trim());\\n }\\n\\n TypeUtils.TYPE attrType = schema.getType(attrId);\\n Object value = TypeUtils.deserializeValue(attrType, parts[2].trim().replaceAll(\\\"'\\\", \\\"\\\"));\\n String predTypeStr = parts[1].trim();\\n Predicate.PREDTYPE predType;\\n switch (predTypeStr) {\\n case \\\">\\\":\\n predType = Predicate.PREDTYPE.GT;\\n break;\\n case \\\">=\\\":\\n predType = Predicate.PREDTYPE.GEQ;\\n break;\\n case \\\"<\\\":\\n predType = Predicate.PREDTYPE.LT;\\n break;\\n case \\\"<=\\\":\\n predType = Predicate.PREDTYPE.LEQ;\\n break;\\n case \\\"=\\\":\\n predType = Predicate.PREDTYPE.EQ;\\n break;\\n default:\\n throw new RuntimeException(\\\"Unknown predType \\\" + predTypeStr);\\n }\\n\\n Predicate p = new Predicate(attrId, attrType, value, predType);\\n return p;\\n }\\n\\n\\n\\n public ArrayList<ArrayList<JoinQuery>> generateWorkload() {\\n byte[] stringBytes = HDFSUtils.readFile(\\n HDFSUtils.getFSByHadoopHome(cfg.getHADOOP_HOME()),\\n \\\"/user/yilu/cmt100000000/cmt_queries.log\\\");\\n\\n String queriesString = new String(stringBytes);\\n String[] queries = queriesString.split(\\\"\\\\n\\\");\\n ArrayList<ArrayList<JoinQuery>> ret = new ArrayList<ArrayList<JoinQuery>>();\\n for (int i=0; i<queries.length; i++) {\\n String query = queries[i];\\n String[] predicates = query.split(\\\";\\\");\\n ArrayList<Predicate> mhPreds = new ArrayList<Predicate>();\\n ArrayList<Predicate> sfPreds = new ArrayList<Predicate>();\\n\\n ArrayList<JoinQuery> q = new ArrayList<JoinQuery>();\\n\\n for (int j=0; j<predicates.length; j++) {\\n if(predicates[j].startsWith(MH)){\\n Predicate p = getPredicate(schemaMH, predicates[j]);\\n mhPreds.add(p);\\n } else {\\n Predicate p = getPredicate(schemaSF, predicates[j]);\\n sfPreds.add(p);\\n }\\n }\\n\\n Predicate[] mhArray = mhPreds.toArray(new Predicate[mhPreds.size()]);\\n Predicate[] sfArray = sfPreds.toArray(new Predicate[sfPreds.size()]);\\n\\n JoinQuery q_mh = new JoinQuery(MH, schemaMH.getAttributeId(\\\"mh_id\\\"), mhArray);\\n JoinQuery q_sf = new JoinQuery(SF, schemaSF.getAttributeId(\\\"sf_id\\\"), sfArray);\\n\\n q.add(q_mh);\\n q.add(q_sf);\\n\\n ret.add(q);\\n }\\n\\n return ret;\\n }\\n\\n\\n // sf ⋈ (mhl ⋈ mh)\\n public void runWorkload(){\\n\\n\\n ArrayList<ArrayList<JoinQuery>> queries = generateWorkload();\\n SparkJoinQuery sq = new SparkJoinQuery(cfg);\\n int iters = 0;\\n\\n for (ArrayList<JoinQuery> q: queries) {\\n\\n JoinQuery q_mh = q.get(0);\\n JoinQuery q_sf = q.get(1);\\n JoinQuery q_mhl = new JoinQuery(MHL, schemaMHL.getAttributeId(\\\"mhl_mapmatch_history_id\\\"), EmptyPredicates);\\n\\n System.out.println(\\\"INFO: Query_MH:\\\" + q_mh.toString());\\n System.out.println(\\\"INFO: Query_sf:\\\" + q_sf.toString());\\n\\n\\n long start = System.currentTimeMillis();\\n\\n String stringMH_join_MHL = stringMH + \\\", \\\" + stringMHL;\\n Schema schemaMH_join_MHL = Schema.createSchema(stringMH_join_MHL);\\n\\n JavaPairRDD<LongWritable, Text> mh_join_mhl_rdd = sq.createJoinRDD(MH, q_mh,MHL, q_mhl, schemaMH_join_MHL.getAttributeId(\\\"mhl_dataset_id\\\"));\\n JavaPairRDD<LongWritable, Text> sf_rdd = sq.createScanRDD(SF, q_sf);\\n JavaPairRDD<LongWritable, Tuple2<Text, Text>> rdd = mh_join_mhl_rdd.join(sf_rdd);\\n long result = rdd.count();\\n\\n System.out.println(\\\"RES: Time Taken: \\\" + (System.currentTimeMillis() - start) + \\\"; Result: \\\" + result);\\n }\\n }\\n\\n public static void main(String[] args) {\\n\\n BenchmarkSettings.loadSettings(args);\\n BenchmarkSettings.printSettings();\\n\\n CMTJoinWorkload t = new CMTJoinWorkload();\\n t.loadSettings(args);\\n t.setUp();\\n\\n switch (t.method) {\\n case 1:\\n t.runWorkload();\\n break;\\n default:\\n break;\\n }\\n }\\n}\\n\"\n },\n {\n \"alpha_fraction\": 0.5413975119590759,\n \"alphanum_fraction\": 0.5537286996841431,\n \"avg_line_length\": 21.11688232421875,\n \"blob_id\": \"1a24932ce3143161209533d9bb0be45cf4dc4ce3\",\n \"content_id\": \"6be6ed7784525752759d33a8686b52a11c328630\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Java\",\n \"length_bytes\": 1703,\n \"license_type\": \"no_license\",\n \"max_line_length\": 55,\n \"num_lines\": 77,\n \"path\": \"/src/test/java/core/util/ConcurrentAppendTest.java\",\n \"repo_name\": \"qinzhewudao/GraduationProject\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"package core.util;\\n\\nimport org.apache.hadoop.conf.Configuration;\\nimport org.apache.hadoop.fs.FSDataOutputStream;\\nimport org.apache.hadoop.fs.FileSystem;\\nimport org.apache.hadoop.fs.Path;\\n\\nimport java.io.IOException;\\nimport java.io.PrintWriter;\\nimport java.net.URI;\\n\\n/**\\n * Created by ylu on 3/8/16.\\n */\\n\\nclass HelloThread extends Thread {\\n\\n String content;\\n int id;\\n HelloThread(String c, int i){\\n content = c;\\n id = i;\\n }\\n public void run() {\\n String uri = \\\"hdfs://localhost:9000/test.txt\\\";\\n\\n // instantiate a configuration class\\n Configuration conf = new Configuration();\\n //conf.setBoolean(\\\"dfs.support.append\\\", true);\\n // get a HDFS filesystem instance\\n FileSystem fs = null;\\n try {\\n fs = FileSystem.get(URI.create(uri), conf);\\n } catch (IOException e) {\\n e.printStackTrace();\\n }\\n\\n\\n FSDataOutputStream fsout = null;\\n try {\\n fsout = fs.append(new Path(uri));\\n for(int i = 0; i <1000; i ++){\\n //System.out.println(id);\\n fsout.writeChars(content);\\n }\\n\\n // wrap the outputstream with a writer\\n\\n //fs.close();\\n } catch (IOException e) {\\n e.printStackTrace();\\n }\\n }\\n\\n\\n}\\n\\npublic class ConcurrentAppendTest {\\n\\n\\n public static void main(String[] args) {\\n\\n HelloThread t1 = new HelloThread(\\\"hello\\\\n\\\", 1);\\n HelloThread t2 = new HelloThread(\\\"world\\\\n\\\", 2);\\n t1.start();\\n t2.start();\\n\\n try {\\n t1.join();\\n t2.join();\\n } catch (InterruptedException e) {\\n e.printStackTrace();\\n }\\n\\n }\\n\\n}\\n\"\n },\n {\n \"alpha_fraction\": 0.6774071455001831,\n \"alphanum_fraction\": 0.680060625076294,\n \"avg_line_length\": 27.989011764526367,\n \"blob_id\": \"93e5dabef4b62231e0ea6e7f787612147dc619db\",\n \"content_id\": \"d07776281d8cafb68db98baf396da85e08bd74f1\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Java\",\n \"length_bytes\": 2638,\n \"license_type\": \"no_license\",\n \"max_line_length\": 101,\n \"num_lines\": 91,\n \"path\": \"/src/main/java/core/adapt/spark/join/JoinAccessMethod.java\",\n \"repo_name\": \"qinzhewudao/GraduationProject\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"package core.adapt.spark.join;\\n\\nimport core.adapt.AccessMethod.PartitionSplit;\\nimport core.adapt.JoinQuery;\\nimport core.adapt.Predicate;\\nimport core.adapt.iterator.PartitionIterator;\\n\\nimport core.adapt.opt.JoinOptimizer;\\nimport core.common.globals.Globals;\\nimport core.common.globals.TableInfo;\\nimport core.common.index.JoinRobustTree;\\nimport core.common.key.RawIndexKey;\\nimport core.utils.HDFSUtils;\\n\\n/**\\n * Created by ylu on 1/27/16.\\n */\\n\\n/**\\n * This access method class considers filter access method over the distributed\\n * dataset. The filter could be extracted as: - the selection predicate in\\n * selection query - the sub-range filter (different for each node) in\\n * join/aggregate query\\n *\\n * Currently, we support filtering only on one attribute at a time, i.e. we\\n * expect the query processor to filter on the most selective attribute.\\n *\\n * Filter query: - can access only the local blocks on each node - scan over\\n * partitioned portion - crack over non-partitioned portion\\n *\\n */\\n\\npublic class JoinAccessMethod {\\n public JoinOptimizer opt;\\n public RawIndexKey key;\\n\\n /**\\n * Initialize hyper-partitioning data access.\\n */\\n public void init(SparkJoinQueryConf conf, int partition) {\\n JoinQuery query = conf.getQuery();\\n\\n Globals.loadTableInfo(query.getTable(), conf.getWorkingDir(),\\n HDFSUtils.getFSByHadoopHome(conf.getHadoopHome()));\\n\\n TableInfo tableInfo = Globals.getTableInfo(query.getTable());\\n key = new RawIndexKey(tableInfo.delimiter);\\n opt = new JoinOptimizer(conf);\\n\\n opt.loadIndex(tableInfo, partition);\\n opt.loadQueries(tableInfo);\\n }\\n\\n public JoinRobustTree getIndex() {\\n return opt.getIndex();\\n }\\n\\n public RawIndexKey getKey() {\\n return key;\\n }\\n\\n /**\\n * This method returns whether or not a given partition qualifies for the\\n * predicate.\\n *\\n * @param predicate\\n * @return\\n */\\n public boolean isRelevant(String partitionid, Predicate predicate) {\\n return true;\\n }\\n\\n /**\\n * This method is used to: 1. lookup the partition index for relevant\\n * partitions 2. and, to create splits of partitions which could be assigned\\n * to different node.\\n *\\n * The split thus produced must be: (a) equal in size (b) contain blocks\\n * from the same sub-tree\\n *\\n * @return\\n */\\n public PartitionSplit[] getPartitionSplits(JoinQuery q, boolean justAccess, int indexPartition) {\\n if (justAccess) {\\n return opt.buildAccessPlan(q);\\n } else {\\n return opt.buildPlan(q, indexPartition);\\n }\\n }\\n\\n}\\n\"\n },\n {\n \"alpha_fraction\": 0.800000011920929,\n \"alphanum_fraction\": 0.800000011920929,\n \"avg_line_length\": 38,\n \"blob_id\": \"3a069e953096f4e3521e8f357ed4cf6fd10f8f41\",\n \"content_id\": \"d28624ef57b2f6ee3a5f5ca0e28c5fc0706df9b9\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Gradle\",\n \"length_bytes\": 40,\n \"license_type\": \"no_license\",\n \"max_line_length\": 38,\n \"num_lines\": 1,\n \"path\": \"/settings.gradle\",\n \"repo_name\": \"qinzhewudao/GraduationProject\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"rootProject.name = 'GraduationProject'\\n\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":12,"string":"12"}}},{"rowIdx":2980093,"cells":{"repo_name":{"kind":"string","value":"consokodev/socialapi"},"repo_url":{"kind":"string","value":"https://github.com/consokodev/socialapi"},"snapshot_id":{"kind":"string","value":"dc6afc0a55ab116407836dcad4c81e307c20a638"},"revision_id":{"kind":"string","value":"fabb763d534bf305a80597898b8ba163d75d6d10"},"directory_id":{"kind":"string","value":"656a3b0477f29f530b7c2510ba61f1f26a3203a0"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2020-09-04T16:42:48.977837","string":"2020-09-04T16:42:48.977837"},"revision_date":{"kind":"timestamp","value":"2019-11-05T17:48:52","string":"2019-11-05T17:48:52"},"committer_date":{"kind":"timestamp","value":"2019-11-05T17:48:52","string":"2019-11-05T17:48:52"},"github_id":{"kind":"number","value":218351162,"string":"218,351,162"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"timestamp","value":"2019-10-29T18:02:52","string":"2019-10-29T18:02:52"},"gha_updated_at":{"kind":"timestamp","value":"2019-10-29T18:03:34","string":"2019-10-29T18:03:34"},"gha_pushed_at":{"kind":"timestamp","value":"2019-10-29T18:04:39","string":"2019-10-29T18:04:39"},"gha_language":{"kind":"string","value":"Python"},"files":{"kind":"list like","value":[{"alpha_fraction":0.7208387851715088,"alphanum_fraction":0.7208387851715088,"avg_line_length":35.28571319580078,"blob_id":"9b96985fc67aaab5ebe87e45d272c5d72404a042","content_id":"04218eee489ed4564865bfaca54979e14581387f","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":785,"license_type":"no_license","max_line_length":69,"num_lines":21,"path":"/api/tasks.py","repo_name":"consokodev/socialapi","src_encoding":"UTF-8","text":"from celery.app import shared_task\nfrom celery.decorators import task\nfrom django.core.mail import EmailMultiAlternatives, send_mail\nfrom django.template.loader import render_to_string\nfrom django.utils.html import strip_tags\n\nfrom socialapi import celery_app\n\n@task(name=\"email_reset_pass\")\ndef email_reset_pass(email, reset_pass):\n html_content = render_to_string(\n 'mails/reset_pass.html',\n {'username': email, 'password': reset_pass}\n )\n text_content = strip_tags(html_content)\n subject = 'Восстановление аккаунта - plamber.com.ua'\n\n # send_mail(subject, \"message\", \"consoko@ymail.com\" ,[email])\n email = EmailMultiAlternatives(subject, text_content, to=[email])\n email.attach_alternative(html_content, 'text/html')\n email.send()\n\n"},{"alpha_fraction":0.40666666626930237,"alphanum_fraction":0.6866666674613953,"avg_line_length":17.75,"blob_id":"e608494191481e5999817797f51277b90d9b94d5","content_id":"9c29a05282f084e28c38205911a9e4ec596d7986","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":150,"license_type":"no_license","max_line_length":38,"num_lines":8,"path":"/api/test.py","repo_name":"consokodev/socialapi","src_encoding":"UTF-8","text":"\n# time1 = \"2019-11-03 18:11:35.162187\"\n# time2 = \"2019-11-03 18:11:35.162187\n# \"\n\nfrom datetime import datetime\n\ndatetime.now()\nprint(datetime.now())"},{"alpha_fraction":0.530994176864624,"alphanum_fraction":0.5836257338523865,"avg_line_length":27.5,"blob_id":"fda3fd451305dc7bb8e1a996d8b87539b4c6774c","content_id":"9d946e01b8b4fff76a239367c86d969d93b8fc1c","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":855,"license_type":"no_license","max_line_length":112,"num_lines":30,"path":"/api/migrations/0002_auto_20191017_1726.py","repo_name":"consokodev/socialapi","src_encoding":"UTF-8","text":"# Generated by Django 2.2.6 on 2019-10-17 17:26\n\nimport datetime\nfrom django.db import migrations, models\nfrom django.utils.timezone import utc\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('api', '0001_initial'),\n ]\n\n operations = [\n migrations.AddField(\n model_name='user',\n name='fb_id',\n field=models.CharField(db_index=True, max_length=255, null=True),\n ),\n migrations.AlterField(\n model_name='user',\n name='created_at',\n field=models.DateTimeField(default=datetime.datetime(2019, 10, 17, 17, 26, 28, 945035, tzinfo=utc)),\n ),\n migrations.AlterField(\n model_name='user',\n name='email',\n field=models.EmailField(db_index=True, max_length=254, null=True, unique=True),\n ),\n ]\n"},{"alpha_fraction":0.5756056904792786,"alphanum_fraction":0.5789473652839661,"avg_line_length":35.846153259277344,"blob_id":"47a936092bf6c1630658dcf499764c98a59180e9","content_id":"9ea514a743bde547e71395cf18dac7ff233ec3d7","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2394,"license_type":"no_license","max_line_length":115,"num_lines":65,"path":"/my_utils/jwt_authen.py","repo_name":"consokodev/socialapi","src_encoding":"UTF-8","text":"import datetime\nimport logging\nimport time\n\nimport jwt\nfrom django.http import JsonResponse\nfrom django.views import View\nfrom requests.api import request\nfrom rest_framework.decorators import permission_classes\nfrom rest_framework.permissions import BasePermission\nfrom rest_framework.response import Response\nfrom rest_framework.views import APIView\n\nfrom my_utils import response_status, cus_exception\nfrom socialapi.settings import JWT_TOKEN_EXPIRATION_DAYS, SECRET_KEY\n\n\nclass JwtAuthen():\n @staticmethod\n def create_jwt(data):\n token = {\n 'iat': time.time(),\n 'nbf': time.time(),\n 'exp': datetime.datetime.utcnow() + datetime.timedelta(days=JWT_TOKEN_EXPIRATION_DAYS),\n 'data': data\n }\n return jwt.encode(token, SECRET_KEY)\n \n @staticmethod\n def check_jwt(request):\n try:\n authen_token = request.headers['Authorization'].split()[1]\n token = jwt.decode(authen_token, SECRET_KEY, ['HS256'])\n if(token):\n cur_time = time.time()\n if(token['exp'] > cur_time):\n return token['data']\n except Exception as e:\n logging.exception(f'Token Error:')\n return None\n \n @staticmethod\n def check_jwt_detail(request):\n try:\n authen_token = request.headers['Authorization'].split()[1]\n token = jwt.decode(authen_token, SECRET_KEY, ['HS256'])\n if(token):\n cur_time = time.time()\n if(token['exp'] > cur_time):\n if(token['data'].get('email') and (token['data'].get('email') == request.data.get('email'))):\n return token['data']\n elif(token['data'].get('fb_id') and (token['data'].get('fb_id') == request.data.get('fb_id'))):\n return token['data']\n elif(token['data'].get('uid') and (token['data'].get('uid') == request.data.get('uid'))):\n return token['data']\n else:\n raise cus_exception.TokenInvalid()\n except Exception as e:\n logging.exception(f'Token Error:')\n raise cus_exception.TokenInvalid()\n\nclass CheckAuthen(BasePermission):\n\n def has_permission(self, request, view):\n return bool(JwtAuthen.check_jwt_detail(request))"},{"alpha_fraction":0.49529513716697693,"alphanum_fraction":0.699743390083313,"avg_line_length":15.942028999328613,"blob_id":"b955f4368639f730c698e5183be22f69d09cc1be","content_id":"7dc3877855721407ad0f5f9b75cc6773fc0eea20","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Text","length_bytes":1169,"license_type":"no_license","max_line_length":37,"num_lines":69,"path":"/requirements.txt","repo_name":"consokodev/socialapi","src_encoding":"UTF-8","text":"amqp==2.5.1\nasn1crypto==0.24.0\nbackports.ssl-match-hostname==3.5.0.1\nbcrypt==3.1.7\nbilliard==3.5.0.5\ncached-property==1.3.1\ncelery==4.0.2\ncertifi==2019.9.11\ncffi==1.13.0\nchardet==3.0.4\nClick==7.0\nconfigparser==4.0.2\ncontextlib2==0.6.0.post1\ncoverage==4.5.1\ncryptography==2.8\nDjango==1.10.4\ndjangorestframework==3.6.3\ndocker==2.5.1\ndocker-compose==1.17.1\ndocker-pycreds==0.2.1\ndockerpty==0.4.1\ndocopt==0.6.2\nenum34==1.1.6\nFlask==1.1.1\nfuncsigs==1.0.2\nfunctools32==3.2.3.post2\ngyp==0.1\nidna==2.5\nimportlib-metadata==0.23\nipaddress==1.0.17\nitsdangerous==1.1.0\nJinja2==2.10.3\njsonschema==2.6.0\nkeyring==10.6.0\nkeyrings.alt==3.0\nkombu==4.6.5\nMarkupSafe==1.1.1\nmock==2.0.0\nmore-itertools==5.0.0\nmysql-connector-python-rf==2.2.2\nolefile==0.46\nparamiko==2.6.0\npathlib2==2.3.5\npbr==3.1.1\nPillow==4.2.1\npsutil==5.4.2\npycairo==1.16.2\npycparser==2.19\npycrypto==2.6.1\npygobject==3.26.1\nPyNaCl==1.3.0\npyOpenSSL==17.5.0\nPyPDF2==1.26.0\npytz==2019.3\npyxdg==0.25\nPyYAML==3.12\nredis==3.2.1\nrequests==2.18.1\nscandir==1.10.0\nSecretStorage==2.3.1\nsix==1.12.0\nstormssh==0.7.0\ntermcolor==1.1.0\ntexttable==0.9.1\nurllib3==1.21.1\nvine==1.3.0\nwebsocket-client==0.44.0\nWerkzeug==0.16.0\nzipp==0.6.0\n"},{"alpha_fraction":0.7258444428443909,"alphanum_fraction":0.754124104976654,"avg_line_length":38.8125,"blob_id":"b59ff9575c2f51e423743cd370b7ff5068a50b4c","content_id":"754156ae955f82e6d314bb759c999c567fc3861d","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1333,"license_type":"no_license","max_line_length":76,"num_lines":32,"path":"/my_utils/response_status.py","repo_name":"consokodev/socialapi","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n\nfrom collections import namedtuple\n\nErrorCodeProperties = namedtuple(\"ErrorCodeProperties\", [\"code\", \"message\"])\n\nSUCCESS = ErrorCodeProperties(0, \"Thành Công\")\nFAIL = ErrorCodeProperties(-1, \"Thất Bại\")\n\nMODULE_NOT_ALLOW = ErrorCodeProperties(-8, \"Module không được phép sử dụng\")\n\nPERMISSION_DENY = ErrorCodeProperties(-9, \"Không Có Quyền\")\nUSER_BANNED = ErrorCodeProperties(-2, \"Tài Khoản Tạm Thời Bị Khóa\")\nUSER_LOGIN_FAILED = ErrorCodeProperties(-3, \"User Hoặc Password không đúng\")\nUSER_INACTIVATE = ErrorCodeProperties(-4, \"User Chưa Active\")\nUSER_INVALID_TOKEN = ErrorCodeProperties(-5, \"Token Không Hợp Lệ\")\nUSER_EXISTED = ErrorCodeProperties(-6, \"User Đã Tồn Tại\")\nUSER_NOT_EXISTED = ErrorCodeProperties(-7, \"User Không Tồn Tại\")\n\n\nERROR = ErrorCodeProperties(-10, \"Lỗi\")\nSERVER_ERROR = ErrorCodeProperties(-11, \"Server Lỗi\")\n\nEXCEPTION = ErrorCodeProperties(-100, \"Excection\")\n\nINVALID_DATA = ErrorCodeProperties(-110, \"Invalid Data\")\nINVALID_PARAM = ErrorCodeProperties(-111, \"Invalid Param\")\nINVALID_SIGNATURE = ErrorCodeProperties(-112, \"Invalid Signature\")\nINVALID_METHOD = ErrorCodeProperties(-200, \"Invalid Method\")\n\nNOT_FOUND = ErrorCodeProperties(-404, \"Không Tìm Thấy\")\nBAD_REQUEST = ErrorCodeProperties(-400, \"Request Ngu\")"},{"alpha_fraction":0.6715379357337952,"alphanum_fraction":0.6729297041893005,"avg_line_length":35.871795654296875,"blob_id":"c1d9dd2d63aa6ef829199f0a30c0bd5df9fdeb27","content_id":"3a8045b33c3abb944d2fd08fa914786a87557abe","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1437,"license_type":"no_license","max_line_length":91,"num_lines":39,"path":"/serverapi/views/users.py","repo_name":"consokodev/socialapi","src_encoding":"UTF-8","text":"from datetime import datetime\n\nfrom django.shortcuts import render\nfrom rest_framework.views import APIView\nfrom rest_framework.response import Response\n\nfrom api.models import User\nfrom my_utils.check_fields import check_required_fields\nfrom my_utils.jwt_authen import CheckAuthen\nfrom my_utils import response_status\nfrom my_utils.response_utils import response_fail\nfrom scmodels.serializers.user_serializers import GetUserProfileSerializer\n\n# Create your views here.\n\nclass ListUser(APIView):\n permission_classes = [CheckAuthen]\n\n def get(self, request, *args, **kwargs):\n required_fields = [\"last_uid\", \"limit\", \"uid\"]\n check_required_fields(required_fields, self.kwargs)\n\n limit = self.kwargs.get(\"limit\")\n last_uid = 0 if self.kwargs.get(\"last_uid\") == \"0\" else self.kwargs.get(\"last_uid\")\n check_point = datetime.now()\n if(last_uid):\n try:\n user = User.objects.get(uid=last_uid)\n check_point = user.created_at\n except Exception as e:\n return response_fail()\n \n query_ret = User.objects.collect_list_users(check_point, limit)\n responseData = GetUserProfileSerializer(query_ret, many=True).data\n return Response({\n \"responseCode\": response_status.SUCCESS.code,\n \"responseMessage\": response_status.SUCCESS.message,\n \"responseData\": responseData,\n })"},{"alpha_fraction":0.5163934230804443,"alphanum_fraction":0.6000000238418579,"avg_line_length":24.41666603088379,"blob_id":"c15d9a2527e572c59d12737a2c74bec953f40135","content_id":"0ac3e94542678ff0a6a57a3c46ac4390e07e178f","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":610,"license_type":"no_license","max_line_length":112,"num_lines":24,"path":"/api/migrations/0013_auto_20191026_1052.py","repo_name":"consokodev/socialapi","src_encoding":"UTF-8","text":"# Generated by Django 2.2.6 on 2019-10-26 10:52\n\nimport datetime\nfrom django.db import migrations, models\nfrom django.utils.timezone import utc\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('api', '0012_auto_20191026_1052'),\n ]\n\n operations = [\n migrations.RenameModel(\n old_name='ForgetPass',\n new_name='UserOTP',\n ),\n migrations.AlterField(\n model_name='user',\n name='created_at',\n field=models.DateTimeField(default=datetime.datetime(2019, 10, 26, 10, 52, 43, 846655, tzinfo=utc)),\n ),\n ]\n"},{"alpha_fraction":0.5512367486953735,"alphanum_fraction":0.6007066965103149,"avg_line_length":31.342857360839844,"blob_id":"a63945e8215392493ff1c8c8d74b091deea521ec","content_id":"b65ed0806387fc72bc938d1044587aa18c63d8db","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1132,"license_type":"no_license","max_line_length":155,"num_lines":35,"path":"/api/migrations/0012_auto_20191026_1052.py","repo_name":"consokodev/socialapi","src_encoding":"UTF-8","text":"# Generated by Django 2.2.6 on 2019-10-26 10:52\n\nimport datetime\nfrom django.conf import settings\nfrom django.db import migrations, models\nimport django.db.models.deletion\nfrom django.utils.timezone import utc\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('api', '0011_auto_20191025_1037'),\n ]\n\n operations = [\n migrations.CreateModel(\n name='ForgetPass',\n fields=[\n ('uid', models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, primary_key=True, serialize=False, to=settings.AUTH_USER_MODEL)),\n ('email', models.EmailField(max_length=254, unique=True)),\n ('otp_code_reset_pass', models.CharField(max_length=10)),\n ],\n ),\n migrations.AlterField(\n model_name='user',\n name='created_at',\n field=models.DateTimeField(default=datetime.datetime(2019, 10, 26, 10, 52, 8, 45934, tzinfo=utc)),\n ),\n migrations.AlterField(\n model_name='user',\n name='password',\n field=models.CharField(max_length=20),\n ),\n ]\n"},{"alpha_fraction":0.5873563289642334,"alphanum_fraction":0.5879310369491577,"avg_line_length":40.82692337036133,"blob_id":"4b89e487b6580fadc496e542e15480fa992c517c","content_id":"60cc3c8ba444d2e7c785ba3cb1cc924255e12a55","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":8700,"license_type":"no_license","max_line_length":134,"num_lines":208,"path":"/api/views.py","repo_name":"consokodev/socialapi","src_encoding":"UTF-8","text":"import json\nimport random\nimport string\nfrom pprint import pprint\n\nimport facebook\nimport jwt\nfrom django.core.exceptions import ObjectDoesNotExist\nfrom rest_framework import status\nfrom rest_framework.exceptions import APIException\nfrom rest_framework.response import Response\nfrom rest_framework.views import APIView\n\nfrom api.models import User, UserOTP\nfrom scmodels.serializers.user_serializers import (GetUserProfileSerializer,\n UpdateUserProfileSerializer,\n UserResetPassSerializer, UserSerializer\n )\nfrom my_utils.check_fields import check_required_fields\nfrom my_utils import response_status\nfrom my_utils.jwt_authen import CheckAuthen, JwtAuthen\nfrom my_utils.log_module import logger_socialapi\nfrom my_utils.response_utils import response_fail, response_success\nfrom socialapi.settings import SECRET_KEY\nfrom api.tasks import email_reset_pass\n\n\nclass CreateUser(APIView):\n\n def post(self, request, *args, **kwargs):\n required_fields = [\"email\", \"password\"]\n check_required_fields(required_fields, request.data)\n \n user_serializer = UserSerializer(data=request.data)\n\n if(user_serializer.is_valid()):\n try:\n email = user_serializer.validated_data.get(\"email\")\n User.objects.get(email=email)\n return Response({\n 'ResponseCode': response_status.USER_EXISTED.code,\n 'ResponseMessage': response_status.USER_EXISTED.message\n })\n except ObjectDoesNotExist as e:\n user = user_serializer.save()\n logger_socialapi.info(f'SUCCESS: Created User {user.email}')\n responseData = dict(GetUserProfileSerializer(user).data)\n return Response({\n \"responseCode\": response_status.SUCCESS.code,\n \"responseMessage\": response_status.SUCCESS.message,\n \"token\": JwtAuthen.create_jwt(responseData),\n \"responseData\": responseData,\n })\n except Exception as e:\n logger_socialapi.exception(f'Error: Register Failed')\n return response_fail()\n elif(user_serializer.errors):\n return Response({\n 'ResponseCode': response_status.FAIL.code,\n 'ResponseMessage': user_serializer.errors\n })\n\n\nclass LoginUserFace(APIView):\n\n def post(self, request, *args, **kwargs):\n required_fields = [\"fb_id\", \"access_token\"]\n check_required_fields(required_fields, request.data)\n \n try:\n fb_id = request.data.get('fb_id')\n access_token = request.data.get('access_token')\n profile = facebook.GraphAPI(access_token=access_token).get_object('me', fields='email,name,gender,birthday')\n except Exception as e:\n logger_socialapi.exception(f'Error: Register Facebook Failed')\n return response_fail()\n if(fb_id == profile.get('id')):\n fb_id, email, name = profile.get('id'), profile.get('email'), profile.get('name')\n try:\n user = User.objects.get(fb_id=fb_id)\n if(hasattr(user, 'is_banned') and user.is_banned == 1):\n return Response({\n \"responseCode\": response_status.USER_BANNED.code,\n \"responseMessage\": response_status.USER_BANNED.message \n })\n # elif(hasattr(user, 'is_activated') and user.is_activated == 0):\n # return Response({\n # \"responseCode\": response_status.USER_INACTIVATE.code,\n # \"responseMessage\": response_status.USER_INACTIVATE.message \n # })\n responseData = dict(GetUserProfileSerializer(user).data)\n except ObjectDoesNotExist as e:\n logger_socialapi.info(f'Register user {fb_id}')\n user = User.objects.create(fb_id=fb_id, email=email, fullname=name)\n responseData = dict(GetUserProfileSerializer(user).data)\n except Exception as e:\n logger_socialapi.exception(f'Error: Register Failed {fb_id}')\n return response_fail()\n return Response({\n \"responseCode\": response_status.SUCCESS.code,\n \"responseMessage\": response_status.SUCCESS.message,\n \"token\": JwtAuthen.create_jwt(responseData),\n \"responseData\": responseData,\n })\n else:\n logger_socialapi.exception(f'Error: Register Failed {fb_id}')\n return response_fail()\n\n\n# User login if sucess, then return jwt vs user data\nclass LoginUser(APIView):\n\n def post(self, request, *args, **kwargs):\n required_fields = [\"email\", \"password\"]\n check_required_fields(required_fields, request.data)\n \n try:\n email = request.data.get('email')\n password = request.data.get('password')\n user = User.objects.get(email=email, password=password)\n if(hasattr(user, 'is_banned') and user.is_banned == 1):\n return Response({\n \"responseCode\": response_status.USER_BANNED.code,\n \"responseMessage\": response_status.USER_BANNED.message \n })\n # elif(hasattr(user, 'is_activated') and user.is_activated == 0):\n # return Response({\n # \"responseCode\": response_status.USER_INACTIVATE.code,\n # \"responseMessage\": response_status.USER_INACTIVATE.message \n # })\n else:\n responseData = dict(GetUserProfileSerializer(user).data)\n return Response({\n \"responseCode\": response_status.SUCCESS.code,\n \"responseMessage\": response_status.SUCCESS.message,\n \"token\": JwtAuthen.create_jwt(responseData),\n \"responseData\": responseData,\n })\n except ObjectDoesNotExist as e:\n return Response(\n {\n \"responseCode\": response_status.USER_LOGIN_FAILED.code,\n \"responseMessage\": response_status.USER_LOGIN_FAILED.message,\n }\n )\n\n\nclass UpdateUser(APIView):\n permission_classes = [CheckAuthen]\n\n def put(self, request, *args, **kwargs):\n required_fields = [\"uid\", \"fullname\", \"gender\", \"birthday\"]\n check_required_fields(required_fields, request.data)\n\n uid = request.data.get(\"uid\")\n try:\n user = User.objects.get(uid=uid)\n user_serializer = UpdateUserProfileSerializer(user, data=request.data)\n user_serializer.is_valid(raise_exception=True)\n user_serializer.save()\n responseData = dict(user_serializer.data)\n return Response({\n \"responseCode\": response_status.SUCCESS.code,\n \"responseMessage\": response_status.SUCCESS.message,\n \"responseData\": responseData,\n })\n except ObjectDoesNotExist as e:\n return Response({\n \"ResponseCode\": response_status.USER_NOT_EXISTED.code,\n \"ResponseMessage\": response_status.USER_NOT_EXISTED.message\n })\n except Exception as e:\n return response_fail()\n \n\nclass LogoutUser(APIView):\n\n def get(self, request, *args, **kwargs):\n return response_success()\n\nclass UserResetPass(APIView):\n\n def post(self, request, *args, **kwargs):\n required_fields = [\"email\"]\n check_required_fields(required_fields, request.data)\n email = request.data.get(\"email\")\n try:\n user = User.objects.get(email=email)\n otp_code_reset_pass = ''.join(random.choices(string.digits, k = 4))\n user_otp = UserResetPassSerializer(data={\"uid\": str(user.uid),\"email\": email, \"otp_code_reset_pass\": otp_code_reset_pass})\n user_otp.is_valid(raise_exception=True)\n user_otp.save()\n #email_reset_pass.delay(email, otp_code_reset_pass)\n return response_success()\n except ObjectDoesNotExist as e:\n return Response({\n \"ResponseCode\": response_status.USER_NOT_EXISTED.code,\n \"ResponseMessage\": response_status.USER_NOT_EXISTED.message\n })\n except Exception as e:\n return response_fail()\n\n\nclass HelloView(APIView):\n permission_classes = [CheckAuthen]\n\n def get(self, request):\n return Response('Huraaaaa')\n"},{"alpha_fraction":0.6792828440666199,"alphanum_fraction":0.6917330622673035,"avg_line_length":36.185184478759766,"blob_id":"494351474f4fb5d5509a2d91978dab7bb0acb2f3","content_id":"3d9597d929ecf936b52e5896ca819786ad59dc26","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2008,"license_type":"no_license","max_line_length":99,"num_lines":54,"path":"/api/models.py","repo_name":"consokodev/socialapi","src_encoding":"UTF-8","text":"\nimport datetime\nimport uuid\n\nfrom django.contrib.auth.base_user import AbstractBaseUser, BaseUserManager\nfrom django.contrib.auth.models import PermissionsMixin\nfrom django.db import models\nfrom django.utils import timezone\n\n\nclass UserManager(BaseUserManager):\n \n def collect_list_users(self, check_point, limit, *args, **kwargs):\n return User.objects.filter(created_at__lte=check_point).order_by('-created_at')[:limit]\n\nclass User(AbstractBaseUser, PermissionsMixin):\n GENDER_CHOICES = (\n ('1', 'MALE'),\n ('2', 'FEMALE'),\n ('3', 'OTHERS'),\n )\n uid = models.UUIDField(primary_key=True, default=uuid.uuid4, editable=False)\n email = models.EmailField(unique=True, db_index=True, null=True, editable=False)\n fb_id = models.CharField(unique=True, max_length=255, db_index=True, null=True, editable=False)\n password = models.CharField(max_length=20, null=False)\n account_type = models.IntegerField(null=False, editable=False) #0: Email, 1: Face\n fullname = models.CharField(max_length=255, null=True)\n gender = models.BooleanField(choices=GENDER_CHOICES, max_length=1, null=True)\n birthday = models.DateField(null=True)\n avatar = models.CharField(max_length=255, null=True)\n is_banned = models.BooleanField(default=False, null=False)\n created_at = models.DateTimeField(default=timezone.now(), null=False)\n is_activated = models.BooleanField(default=False, null=False)\n\n objects = UserManager()\n \n def save(self, *args, **kwargs):\n self.account_type = 1 if(self.fb_id) else 0\n super().save(*args, **kwargs)\n\n\n USERNAME_FIELD = 'uid'\n\n class Meta:\n ordering = ['created_at']\n \n # def __str__(self):\n # return self.email\n\nclass UserOTP(models.Model):\n uid = models.CharField(primary_key=True, max_length=255, editable=False)\n email = models.EmailField(unique=True, null=False, blank=False)\n otp_code_reset_pass = models.CharField(max_length=10)\n\n objects = models.Manager()"},{"alpha_fraction":0.5944369435310364,"alphanum_fraction":0.6191117167472839,"avg_line_length":53.36585235595703,"blob_id":"b500eeffb7649fd264745a52aeb271aff27467d9","content_id":"3e514d80ccbfba5feb0d108f58253473dec4dee5","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2229,"license_type":"no_license","max_line_length":266,"num_lines":41,"path":"/api/migrations/0001_initial.py","repo_name":"consokodev/socialapi","src_encoding":"UTF-8","text":"# Generated by Django 2.2.6 on 2019-10-16 15:22\n\nimport datetime\nfrom django.db import migrations, models\nfrom django.utils.timezone import utc\nimport uuid\n\n\nclass Migration(migrations.Migration):\n\n initial = True\n\n dependencies = [\n ('auth', '0011_update_proxy_permissions'),\n ]\n\n operations = [\n migrations.CreateModel(\n name='User',\n fields=[\n ('last_login', models.DateTimeField(blank=True, null=True, verbose_name='last login')),\n ('is_superuser', models.BooleanField(default=False, help_text='Designates that this user has all permissions without explicitly assigning them.', verbose_name='superuser status')),\n ('uid', models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False)),\n ('email', models.EmailField(db_index=True, max_length=254, unique=True)),\n ('password', models.CharField(max_length=255)),\n ('account_type', models.CharField(default='Email', max_length=100)),\n ('fullname', models.CharField(max_length=255, null=True)),\n ('gender', models.BooleanField(choices=[(False, 'Nam'), (True, 'Nu')], null=True)),\n ('birthday', models.DateField(null=True)),\n ('avatar', models.CharField(max_length=255, null=True)),\n ('is_banned', models.BooleanField(default=False)),\n ('created_at', models.DateTimeField(default=datetime.datetime(2019, 10, 16, 15, 22, 46, 427699, tzinfo=utc))),\n ('is_activated', models.BooleanField(default=False)),\n ('groups', models.ManyToManyField(blank=True, help_text='The groups this user belongs to. A user will get all permissions granted to each of their groups.', related_name='user_set', related_query_name='user', to='auth.Group', verbose_name='groups')),\n ('user_permissions', models.ManyToManyField(blank=True, help_text='Specific permissions for this user.', related_name='user_set', related_query_name='user', to='auth.Permission', verbose_name='user permissions')),\n ],\n options={\n 'ordering': ['created_at'],\n },\n ),\n ]\n"},{"alpha_fraction":0.5356125235557556,"alphanum_fraction":0.6111111044883728,"avg_line_length":27.079999923706055,"blob_id":"1f090da87343ebf8ab7bf6015f93e1af00dd09fc","content_id":"16e4f8ae8ce3c9fb9773cdd963d00c8bf5e8e868","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":702,"license_type":"no_license","max_line_length":111,"num_lines":25,"path":"/api/migrations/0017_auto_20191027_0918.py","repo_name":"consokodev/socialapi","src_encoding":"UTF-8","text":"# Generated by Django 2.2.6 on 2019-10-27 09:18\n\nimport datetime\nfrom django.db import migrations, models\nfrom django.utils.timezone import utc\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('api', '0016_auto_20191027_0900'),\n ]\n\n operations = [\n migrations.AlterField(\n model_name='user',\n name='created_at',\n field=models.DateTimeField(default=datetime.datetime(2019, 10, 27, 9, 18, 12, 265723, tzinfo=utc)),\n ),\n migrations.AlterField(\n model_name='userotp',\n name='uid',\n field=models.CharField(editable=False, max_length=255, primary_key=True, serialize=False),\n ),\n ]\n"},{"alpha_fraction":0.6503401398658752,"alphanum_fraction":0.6523809432983398,"avg_line_length":37.71052551269531,"blob_id":"52e32849c30dc3455652b32ad0e2c74d137a1405","content_id":"f45f44cdc6a2868ebfbc792a3237dd89ac4bfed4","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1470,"license_type":"no_license","max_line_length":126,"num_lines":38,"path":"/scmodels/serializers/user_serializers.py","repo_name":"consokodev/socialapi","src_encoding":"UTF-8","text":"from rest_framework import serializers\nfrom api.models import User, UserOTP\n\nclass UserSerializer(serializers.ModelSerializer):\n password = serializers.CharField(min_length=3, max_length=16, required=True)\n email = serializers.EmailField(required=True)\n class Meta:\n model = User\n fields = ('email', 'password')\n\nclass GetUserProfileSerializer(serializers.ModelSerializer):\n class Meta:\n model = User\n fields = ('uid', 'email', 'account_type', 'fullname', 'gender', 'birthday', 'is_banned', 'is_activated', 'created_at')\n\n # def to_representation(self, instance):\n # ret = super().to_representation(instance)\n # ret['uid'] = instance.uid.hex\n # return ret\n\nclass UpdateUserProfileSerializer(serializers.ModelSerializer):\n class Meta:\n model = User\n fields = ('uid', 'fullname', 'gender', 'birthday')\n\nclass UserResetPassSerializer(serializers.ModelSerializer):\n uid = serializers.CharField(required=True)\n email = serializers.CharField(required=True)\n \n class Meta:\n model = UserOTP\n fields = ('uid', 'email', 'otp_code_reset_pass')\n \n def create(self, validated_data):\n user_otp = UserOTP.objects.update_or_create(email=validated_data.get('email', None),\n defaults={'otp_code_reset_pass': validated_data.get('otp_code_reset_pass', None),\n 'uid': validated_data.get('uid', None)})\n return user_otp"},{"alpha_fraction":0.6990049481391907,"alphanum_fraction":0.6990049481391907,"avg_line_length":27.785715103149414,"blob_id":"a21ef4cc80cf5325ad699c9bceb0ef690db0fa48","content_id":"2faa79a0391f76d937f2694bafc695c77e8908c7","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":402,"license_type":"no_license","max_line_length":57,"num_lines":14,"path":"/my_utils/response_utils.py","repo_name":"consokodev/socialapi","src_encoding":"UTF-8","text":"from rest_framework.response import Response\nfrom my_utils import response_status\n\ndef response_fail():\n return Response({\n 'ReponseCode': response_status.FAIL.code,\n 'ReponseMessage': response_status.FAIL.message\n })\n\ndef response_success():\n return Response({\n 'ReponseCode': response_status.SUCCESS.code,\n 'ReponseMessage': response_status.SUCCESS.message\n })"},{"alpha_fraction":0.5328571200370789,"alphanum_fraction":0.6100000143051147,"avg_line_length":27,"blob_id":"6970788ac003d2aa823ff68003a8551403ffca57","content_id":"5f278fed7405d54f25c7c1d620438cddc6c9daaf","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":700,"license_type":"no_license","max_line_length":112,"num_lines":25,"path":"/api/migrations/0014_auto_20191026_1233.py","repo_name":"consokodev/socialapi","src_encoding":"UTF-8","text":"# Generated by Django 2.2.6 on 2019-10-26 12:33\n\nimport datetime\nfrom django.db import migrations, models\nfrom django.utils.timezone import utc\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('api', '0013_auto_20191026_1052'),\n ]\n\n operations = [\n migrations.AlterField(\n model_name='user',\n name='created_at',\n field=models.DateTimeField(default=datetime.datetime(2019, 10, 26, 12, 33, 34, 865185, tzinfo=utc)),\n ),\n migrations.AlterField(\n model_name='userotp',\n name='uid',\n field=models.CharField(max_length=255, primary_key=True, serialize=False, unique=True),\n ),\n ]\n"},{"alpha_fraction":0.6897106170654297,"alphanum_fraction":0.6961414813995361,"avg_line_length":45.074073791503906,"blob_id":"c5a20652a8f42a2ebd885293f8ee011e242425f4","content_id":"c967bd148896bc9258a2199adfd6ca2163c825ee","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1244,"license_type":"no_license","max_line_length":107,"num_lines":27,"path":"/api/urls.py","repo_name":"consokodev/socialapi","src_encoding":"UTF-8","text":"\"\"\"socialapi URL Configuration\n\nThe `urlpatterns` list routes URLs to views. For more information please see:\n https://docs.djangoproject.com/en/2.2/topics/http/urls/\nExamples:\nFunction views\n 1. Add an import: from my_app import views\n 2. Add a URL to urlpatterns: path('', views.home, name='home')\nClass-based views\n 1. Add an import: from other_app.views import Home\n 2. Add a URL to urlpatterns: path('', Home.as_view(), name='home')\nIncluding another URLconf\n 1. Import the include() function: from django.urls import include, path\n 2. Add a URL to urlpatterns: path('blog/', include('blog.urls'))\n\"\"\"\nfrom django.urls import include, path\nfrom api.views import CreateUser, LoginUser, HelloView, LoginUserFace, LogoutUser, UpdateUser,UserResetPass\n\nurlpatterns = [\n path('user/', CreateUser.as_view(), name='createuser'),\n path('user/email/', LoginUser.as_view(), name='loginuser'),\n path('user/fb/', LoginUserFace.as_view(), name='loginuserface'),\n path('user/logout/', LogoutUser.as_view(), name='logout'),\n path('user/update/', UpdateUser.as_view(), name='update'),\n path('user/resetpass/', UserResetPass.as_view(), name='resetpass'),\n path('hello/', HelloView.as_view(), name='hello'),\n]\n"},{"alpha_fraction":0.7525597214698792,"alphanum_fraction":0.755972683429718,"avg_line_length":29.894737243652344,"blob_id":"194dd51be294504ff5db9590aac90c7a1e93dda0","content_id":"583a49caced1ad822a9930e9c34df20a50eea81c","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":586,"license_type":"no_license","max_line_length":69,"num_lines":19,"path":"/socialapi/celery.py","repo_name":"consokodev/socialapi","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\nfrom __future__ import absolute_import, unicode_literals\nimport os\n\nfrom celery import Celery\nfrom socialapi import settings\n\n# set the default Django settings module for the 'celery' program.\nos.environ.setdefault('DJANGO_SETTINGS_MODULE', 'socialapi.settings')\n\napp = Celery('socialapi')\napp.config_from_object('django.conf:settings', namespace='CELERY')\n\n# Auto detect all task file in all Django installed app\napp.autodiscover_tasks(lambda: settings.INSTALLED_APPS)\n\n@app.task(bind=True)\ndef debug_task(self):\n print('Request: {0!r}'.format(self.request))"},{"alpha_fraction":0.5223880410194397,"alphanum_fraction":0.6014925241470337,"avg_line_length":25.799999237060547,"blob_id":"798bea4616e73c55ea8586186f908a9ddb8ed533","content_id":"4ad1d132d5c383f0e1ce1623067bacd45796f43a","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":670,"license_type":"no_license","max_line_length":110,"num_lines":25,"path":"/api/migrations/0003_auto_20191018_0952.py","repo_name":"consokodev/socialapi","src_encoding":"UTF-8","text":"# Generated by Django 2.2.6 on 2019-10-18 09:52\n\nimport datetime\nfrom django.db import migrations, models\nfrom django.utils.timezone import utc\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('api', '0002_auto_20191017_1726'),\n ]\n\n operations = [\n migrations.AlterField(\n model_name='user',\n name='account_type',\n field=models.IntegerField(default=1, max_length=100),\n ),\n migrations.AlterField(\n model_name='user',\n name='created_at',\n field=models.DateTimeField(default=datetime.datetime(2019, 10, 18, 9, 52, 57, 49039, tzinfo=utc)),\n ),\n ]\n"},{"alpha_fraction":0.5291750431060791,"alphanum_fraction":0.6257545351982117,"avg_line_length":23.850000381469727,"blob_id":"ccddab6d530b53c1d0aa3e20f4322a49a91da279","content_id":"02a05104f0890446ab9bb9057d0b79dd279ba895","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":497,"license_type":"no_license","max_line_length":109,"num_lines":20,"path":"/api/migrations/0016_auto_20191027_0900.py","repo_name":"consokodev/socialapi","src_encoding":"UTF-8","text":"# Generated by Django 2.2.6 on 2019-10-27 09:00\n\nimport datetime\nfrom django.db import migrations, models\nfrom django.utils.timezone import utc\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('api', '0015_auto_20191027_0841'),\n ]\n\n operations = [\n migrations.AlterField(\n model_name='user',\n name='created_at',\n field=models.DateTimeField(default=datetime.datetime(2019, 10, 27, 9, 0, 5, 843604, tzinfo=utc)),\n ),\n ]\n"},{"alpha_fraction":0.7582417726516724,"alphanum_fraction":0.7582417726516724,"avg_line_length":17.200000762939453,"blob_id":"738138981c787ddf8f266d428742cd6a3dbaae81","content_id":"5ba0ab0904d5f7e7c5ba197c4b0b1998af203751","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":91,"license_type":"no_license","max_line_length":33,"num_lines":5,"path":"/scmodels/apps.py","repo_name":"consokodev/socialapi","src_encoding":"UTF-8","text":"from django.apps import AppConfig\n\n\nclass ScmodelsConfig(AppConfig):\n name = 'scmodels'\n"},{"alpha_fraction":0.7341772317886353,"alphanum_fraction":0.7341772317886353,"avg_line_length":16.55555534362793,"blob_id":"d66bc6bf3194e6f4e11c226451a1aab3ab16e23b","content_id":"fa827a3035aa6a8560293872cd8bd95c0f491727","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":158,"license_type":"no_license","max_line_length":28,"num_lines":9,"path":"/README.md","repo_name":"consokodev/socialapi","src_encoding":"UTF-8","text":"# App Features\n- Register user via email\n- Register user via Facebook\n- Login user\n- Update user info\n- Reset pass.\n\n# Backend Tool Features\n- List all user.\n"},{"alpha_fraction":0.4610169529914856,"alphanum_fraction":0.46305084228515625,"avg_line_length":27.384614944458008,"blob_id":"e26e2849b753933b3672bb08c45d026e19f510b0","content_id":"d42e6315ce5a64b4aace45b994849d5897552428","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1475,"license_type":"no_license","max_line_length":103,"num_lines":52,"path":"/my_utils/log_module.py","repo_name":"consokodev/socialapi","src_encoding":"UTF-8","text":"import logging\nimport os\nfrom logging import config\n\nBASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))\n\ndef config_log(log_name, log_level):\n log_name = log_name\n LOGGING = {\n 'version': 1,\n 'disable_existing_loggers': False,\n 'formatters': {\n 'standard': {\n 'format': \"[%(asctime)s] %(levelname)s [%(name)s.%(funcName)s:%(lineno)d] %(message)s\",\n 'datefmt': \"%d/%b/%Y %H:%M:%S\"\n },\n },\n 'handlers': {\n 'console': {\n 'level': log_level,\n 'formatter': 'standard',\n 'class': 'logging.StreamHandler',\n },\n 'file': {\n 'level': log_level,\n 'formatter': 'standard',\n 'backupCount': 7,\n 'interval': 1,\n 'when': 'midnight',\n 'class': 'logging.handlers.TimedRotatingFileHandler',\n 'filename': BASE_DIR + \"/logs/\" + log_name + \".log\"\n },\n },\n 'loggers': {\n log_name: {\n # 'handlers': ['console', 'file'],\n 'handlers': ['console'],\n 'level': log_level,\n },\n }\n }\n\n logging.config.dictConfig(LOGGING)\n\nif(str(os.getenv('ENV_SCRIPT')) == 'prod'):\n log_level = 'INFO'\nelse:\n log_level = 'DEBUG'\n\n\nconfig_log('socialapi', log_level)\nlogger_socialapi = logging.getLogger('socialapi')"},{"alpha_fraction":0.7123287916183472,"alphanum_fraction":0.7123287916183472,"avg_line_length":39.66666793823242,"blob_id":"e8c3c455430f5bc5a17f4a7f3e30e550b7b5699e","content_id":"2c50a0b08d6ceefa8039d7e8f497fefe92dc9bb1","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":365,"license_type":"no_license","max_line_length":75,"num_lines":9,"path":"/my_utils/check_fields.py","repo_name":"consokodev/socialapi","src_encoding":"UTF-8","text":"from my_utils import cus_exception\n\ndef check_required_fields(required_fields, request_data):\n for item in required_fields:\n if item not in request_data:\n raise cus_exception.ValidationFailed(f'Lack of {item} field')\n\n if(len(required_fields) != len(request_data)):\n raise cus_exception.ValidationFailed(f'You have unexpected fields')"},{"alpha_fraction":0.5131579041481018,"alphanum_fraction":0.5756579041481018,"avg_line_length":29.399999618530273,"blob_id":"6d6c1fd574bd132062a00b780b8615cfe2912087","content_id":"435aad166cbb6b2bd621dbd45bf122cee86d500c","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":912,"license_type":"no_license","max_line_length":122,"num_lines":30,"path":"/api/migrations/0004_auto_20191024_0156.py","repo_name":"consokodev/socialapi","src_encoding":"UTF-8","text":"# Generated by Django 2.2.6 on 2019-10-24 01:56\n\nimport datetime\nfrom django.db import migrations, models\nfrom django.utils.timezone import utc\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('api', '0003_auto_20191018_0952'),\n ]\n\n operations = [\n migrations.AlterField(\n model_name='user',\n name='created_at',\n field=models.DateTimeField(default=datetime.datetime(2019, 10, 24, 1, 56, 35, 276112, tzinfo=utc)),\n ),\n migrations.AlterField(\n model_name='user',\n name='fb_id',\n field=models.CharField(db_index=True, max_length=255, null=True, unique=True),\n ),\n migrations.AlterField(\n model_name='user',\n name='gender',\n field=models.BooleanField(choices=[('1', 'MALE'), ('2', 'FEMALE'), ('3', 'OTHERS')], max_length=1, null=True),\n ),\n ]\n"},{"alpha_fraction":0.6446078419685364,"alphanum_fraction":0.6519607901573181,"avg_line_length":26.233333587646484,"blob_id":"196af15d7a79cc2845de73b91af7f6cacc79b662","content_id":"93e6f8fc08b9bb41783c7de2e1d0eaee1fbc9232","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":816,"license_type":"no_license","max_line_length":61,"num_lines":30,"path":"/my_utils/cus_exception.py","repo_name":"consokodev/socialapi","src_encoding":"UTF-8","text":"from rest_framework.exceptions import APIException\nfrom rest_framework import status\nfrom my_utils import response_status\n\n\n\nclass ValidationFailed(APIException):\n status_code = status.HTTP_400_BAD_REQUEST\n default_detail = ('Invalid input.')\n default_code = 'invalid'\n\n def __init__(self, message=None, detail=None, code=None):\n\n self.detail = {\n 'ReponseCode': response_status.FAIL.code,\n 'ReponseMessage': message\n }\n\n\nclass TokenInvalid(APIException):\n status_code = status.HTTP_400_BAD_REQUEST\n default_detail = ('Invalid input.')\n default_code = 'invalid'\n\n def __init__(self, message=None, detail=None, code=None):\n\n self.detail = {\n 'ReponseCode': response_status.FAIL.code,\n 'ReponseMessage': \"Token invalid\"\n }"},{"alpha_fraction":0.5317185521125793,"alphanum_fraction":0.5928488969802856,"avg_line_length":27.899999618530273,"blob_id":"f8bf3cb33b2b7733b2f1ed515ba3f69af818277d","content_id":"26d7e6f772d2ac00e99e0e21dcb9201859fb2f9c","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":867,"license_type":"no_license","max_line_length":111,"num_lines":30,"path":"/api/migrations/0007_auto_20191025_0224.py","repo_name":"consokodev/socialapi","src_encoding":"UTF-8","text":"# Generated by Django 2.2.6 on 2019-10-25 02:24\n\nimport datetime\nfrom django.db import migrations, models\nfrom django.utils.timezone import utc\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('api', '0006_auto_20191024_0201'),\n ]\n\n operations = [\n migrations.AlterField(\n model_name='user',\n name='account_type',\n field=models.IntegerField(editable=False),\n ),\n migrations.AlterField(\n model_name='user',\n name='created_at',\n field=models.DateTimeField(default=datetime.datetime(2019, 10, 25, 2, 24, 26, 588645, tzinfo=utc)),\n ),\n migrations.AlterField(\n model_name='user',\n name='email',\n field=models.EmailField(db_index=True, editable=False, max_length=254, null=True, unique=True),\n ),\n ]\n"},{"alpha_fraction":0.5823096036911011,"alphanum_fraction":0.6437346339225769,"avg_line_length":29.148147583007812,"blob_id":"c99549a37c95b111e8c5f4892206f27456028122","content_id":"c8111247c5c21b9a82e3c19f8ece7a0d4805d8f4","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":814,"license_type":"no_license","max_line_length":148,"num_lines":27,"path":"/api/migrations/0018_auto_20191027_0936.py","repo_name":"consokodev/socialapi","src_encoding":"UTF-8","text":"# Generated by Django 2.2.6 on 2019-10-27 09:36\n\nimport datetime\nfrom django.conf import settings\nfrom django.db import migrations, models\nimport django.db.models.deletion\nfrom django.utils.timezone import utc\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('api', '0017_auto_20191027_0918'),\n ]\n\n operations = [\n migrations.AlterField(\n model_name='user',\n name='created_at',\n field=models.DateTimeField(default=datetime.datetime(2019, 10, 27, 9, 36, 21, 114555, tzinfo=utc)),\n ),\n migrations.AlterField(\n model_name='userotp',\n name='uid',\n field=models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, primary_key=True, serialize=False, to=settings.AUTH_USER_MODEL),\n ),\n ]\n"}],"string":"[\n {\n \"alpha_fraction\": 0.7208387851715088,\n \"alphanum_fraction\": 0.7208387851715088,\n \"avg_line_length\": 35.28571319580078,\n \"blob_id\": \"9b96985fc67aaab5ebe87e45d272c5d72404a042\",\n \"content_id\": \"04218eee489ed4564865bfaca54979e14581387f\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 785,\n \"license_type\": \"no_license\",\n \"max_line_length\": 69,\n \"num_lines\": 21,\n \"path\": \"/api/tasks.py\",\n \"repo_name\": \"consokodev/socialapi\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from celery.app import shared_task\\nfrom celery.decorators import task\\nfrom django.core.mail import EmailMultiAlternatives, send_mail\\nfrom django.template.loader import render_to_string\\nfrom django.utils.html import strip_tags\\n\\nfrom socialapi import celery_app\\n\\n@task(name=\\\"email_reset_pass\\\")\\ndef email_reset_pass(email, reset_pass):\\n html_content = render_to_string(\\n 'mails/reset_pass.html',\\n {'username': email, 'password': reset_pass}\\n )\\n text_content = strip_tags(html_content)\\n subject = 'Восстановление аккаунта - plamber.com.ua'\\n\\n # send_mail(subject, \\\"message\\\", \\\"consoko@ymail.com\\\" ,[email])\\n email = EmailMultiAlternatives(subject, text_content, to=[email])\\n email.attach_alternative(html_content, 'text/html')\\n email.send()\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.40666666626930237,\n \"alphanum_fraction\": 0.6866666674613953,\n \"avg_line_length\": 17.75,\n \"blob_id\": \"e608494191481e5999817797f51277b90d9b94d5\",\n \"content_id\": \"9c29a05282f084e28c38205911a9e4ec596d7986\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 150,\n \"license_type\": \"no_license\",\n \"max_line_length\": 38,\n \"num_lines\": 8,\n \"path\": \"/api/test.py\",\n \"repo_name\": \"consokodev/socialapi\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"\\n# time1 = \\\"2019-11-03 18:11:35.162187\\\"\\n# time2 = \\\"2019-11-03 18:11:35.162187\\n# \\\"\\n\\nfrom datetime import datetime\\n\\ndatetime.now()\\nprint(datetime.now())\"\n },\n {\n \"alpha_fraction\": 0.530994176864624,\n \"alphanum_fraction\": 0.5836257338523865,\n \"avg_line_length\": 27.5,\n \"blob_id\": \"fda3fd451305dc7bb8e1a996d8b87539b4c6774c\",\n \"content_id\": \"9d946e01b8b4fff76a239367c86d969d93b8fc1c\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 855,\n \"license_type\": \"no_license\",\n \"max_line_length\": 112,\n \"num_lines\": 30,\n \"path\": \"/api/migrations/0002_auto_20191017_1726.py\",\n \"repo_name\": \"consokodev/socialapi\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# Generated by Django 2.2.6 on 2019-10-17 17:26\\n\\nimport datetime\\nfrom django.db import migrations, models\\nfrom django.utils.timezone import utc\\n\\n\\nclass Migration(migrations.Migration):\\n\\n dependencies = [\\n ('api', '0001_initial'),\\n ]\\n\\n operations = [\\n migrations.AddField(\\n model_name='user',\\n name='fb_id',\\n field=models.CharField(db_index=True, max_length=255, null=True),\\n ),\\n migrations.AlterField(\\n model_name='user',\\n name='created_at',\\n field=models.DateTimeField(default=datetime.datetime(2019, 10, 17, 17, 26, 28, 945035, tzinfo=utc)),\\n ),\\n migrations.AlterField(\\n model_name='user',\\n name='email',\\n field=models.EmailField(db_index=True, max_length=254, null=True, unique=True),\\n ),\\n ]\\n\"\n },\n {\n \"alpha_fraction\": 0.5756056904792786,\n \"alphanum_fraction\": 0.5789473652839661,\n \"avg_line_length\": 35.846153259277344,\n \"blob_id\": \"47a936092bf6c1630658dcf499764c98a59180e9\",\n \"content_id\": \"9ea514a743bde547e71395cf18dac7ff233ec3d7\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2394,\n \"license_type\": \"no_license\",\n \"max_line_length\": 115,\n \"num_lines\": 65,\n \"path\": \"/my_utils/jwt_authen.py\",\n \"repo_name\": \"consokodev/socialapi\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import datetime\\nimport logging\\nimport time\\n\\nimport jwt\\nfrom django.http import JsonResponse\\nfrom django.views import View\\nfrom requests.api import request\\nfrom rest_framework.decorators import permission_classes\\nfrom rest_framework.permissions import BasePermission\\nfrom rest_framework.response import Response\\nfrom rest_framework.views import APIView\\n\\nfrom my_utils import response_status, cus_exception\\nfrom socialapi.settings import JWT_TOKEN_EXPIRATION_DAYS, SECRET_KEY\\n\\n\\nclass JwtAuthen():\\n @staticmethod\\n def create_jwt(data):\\n token = {\\n 'iat': time.time(),\\n 'nbf': time.time(),\\n 'exp': datetime.datetime.utcnow() + datetime.timedelta(days=JWT_TOKEN_EXPIRATION_DAYS),\\n 'data': data\\n }\\n return jwt.encode(token, SECRET_KEY)\\n \\n @staticmethod\\n def check_jwt(request):\\n try:\\n authen_token = request.headers['Authorization'].split()[1]\\n token = jwt.decode(authen_token, SECRET_KEY, ['HS256'])\\n if(token):\\n cur_time = time.time()\\n if(token['exp'] > cur_time):\\n return token['data']\\n except Exception as e:\\n logging.exception(f'Token Error:')\\n return None\\n \\n @staticmethod\\n def check_jwt_detail(request):\\n try:\\n authen_token = request.headers['Authorization'].split()[1]\\n token = jwt.decode(authen_token, SECRET_KEY, ['HS256'])\\n if(token):\\n cur_time = time.time()\\n if(token['exp'] > cur_time):\\n if(token['data'].get('email') and (token['data'].get('email') == request.data.get('email'))):\\n return token['data']\\n elif(token['data'].get('fb_id') and (token['data'].get('fb_id') == request.data.get('fb_id'))):\\n return token['data']\\n elif(token['data'].get('uid') and (token['data'].get('uid') == request.data.get('uid'))):\\n return token['data']\\n else:\\n raise cus_exception.TokenInvalid()\\n except Exception as e:\\n logging.exception(f'Token Error:')\\n raise cus_exception.TokenInvalid()\\n\\nclass CheckAuthen(BasePermission):\\n\\n def has_permission(self, request, view):\\n return bool(JwtAuthen.check_jwt_detail(request))\"\n },\n {\n \"alpha_fraction\": 0.49529513716697693,\n \"alphanum_fraction\": 0.699743390083313,\n \"avg_line_length\": 15.942028999328613,\n \"blob_id\": \"b955f4368639f730c698e5183be22f69d09cc1be\",\n \"content_id\": \"7dc3877855721407ad0f5f9b75cc6773fc0eea20\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Text\",\n \"length_bytes\": 1169,\n \"license_type\": \"no_license\",\n \"max_line_length\": 37,\n \"num_lines\": 69,\n \"path\": \"/requirements.txt\",\n \"repo_name\": \"consokodev/socialapi\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"amqp==2.5.1\\nasn1crypto==0.24.0\\nbackports.ssl-match-hostname==3.5.0.1\\nbcrypt==3.1.7\\nbilliard==3.5.0.5\\ncached-property==1.3.1\\ncelery==4.0.2\\ncertifi==2019.9.11\\ncffi==1.13.0\\nchardet==3.0.4\\nClick==7.0\\nconfigparser==4.0.2\\ncontextlib2==0.6.0.post1\\ncoverage==4.5.1\\ncryptography==2.8\\nDjango==1.10.4\\ndjangorestframework==3.6.3\\ndocker==2.5.1\\ndocker-compose==1.17.1\\ndocker-pycreds==0.2.1\\ndockerpty==0.4.1\\ndocopt==0.6.2\\nenum34==1.1.6\\nFlask==1.1.1\\nfuncsigs==1.0.2\\nfunctools32==3.2.3.post2\\ngyp==0.1\\nidna==2.5\\nimportlib-metadata==0.23\\nipaddress==1.0.17\\nitsdangerous==1.1.0\\nJinja2==2.10.3\\njsonschema==2.6.0\\nkeyring==10.6.0\\nkeyrings.alt==3.0\\nkombu==4.6.5\\nMarkupSafe==1.1.1\\nmock==2.0.0\\nmore-itertools==5.0.0\\nmysql-connector-python-rf==2.2.2\\nolefile==0.46\\nparamiko==2.6.0\\npathlib2==2.3.5\\npbr==3.1.1\\nPillow==4.2.1\\npsutil==5.4.2\\npycairo==1.16.2\\npycparser==2.19\\npycrypto==2.6.1\\npygobject==3.26.1\\nPyNaCl==1.3.0\\npyOpenSSL==17.5.0\\nPyPDF2==1.26.0\\npytz==2019.3\\npyxdg==0.25\\nPyYAML==3.12\\nredis==3.2.1\\nrequests==2.18.1\\nscandir==1.10.0\\nSecretStorage==2.3.1\\nsix==1.12.0\\nstormssh==0.7.0\\ntermcolor==1.1.0\\ntexttable==0.9.1\\nurllib3==1.21.1\\nvine==1.3.0\\nwebsocket-client==0.44.0\\nWerkzeug==0.16.0\\nzipp==0.6.0\\n\"\n },\n {\n \"alpha_fraction\": 0.7258444428443909,\n \"alphanum_fraction\": 0.754124104976654,\n \"avg_line_length\": 38.8125,\n \"blob_id\": \"b59ff9575c2f51e423743cd370b7ff5068a50b4c\",\n \"content_id\": \"754156ae955f82e6d314bb759c999c567fc3861d\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1333,\n \"license_type\": \"no_license\",\n \"max_line_length\": 76,\n \"num_lines\": 32,\n \"path\": \"/my_utils/response_status.py\",\n \"repo_name\": \"consokodev/socialapi\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\nfrom collections import namedtuple\\n\\nErrorCodeProperties = namedtuple(\\\"ErrorCodeProperties\\\", [\\\"code\\\", \\\"message\\\"])\\n\\nSUCCESS = ErrorCodeProperties(0, \\\"Thành Công\\\")\\nFAIL = ErrorCodeProperties(-1, \\\"Thất Bại\\\")\\n\\nMODULE_NOT_ALLOW = ErrorCodeProperties(-8, \\\"Module không được phép sử dụng\\\")\\n\\nPERMISSION_DENY = ErrorCodeProperties(-9, \\\"Không Có Quyền\\\")\\nUSER_BANNED = ErrorCodeProperties(-2, \\\"Tài Khoản Tạm Thời Bị Khóa\\\")\\nUSER_LOGIN_FAILED = ErrorCodeProperties(-3, \\\"User Hoặc Password không đúng\\\")\\nUSER_INACTIVATE = ErrorCodeProperties(-4, \\\"User Chưa Active\\\")\\nUSER_INVALID_TOKEN = ErrorCodeProperties(-5, \\\"Token Không Hợp Lệ\\\")\\nUSER_EXISTED = ErrorCodeProperties(-6, \\\"User Đã Tồn Tại\\\")\\nUSER_NOT_EXISTED = ErrorCodeProperties(-7, \\\"User Không Tồn Tại\\\")\\n\\n\\nERROR = ErrorCodeProperties(-10, \\\"Lỗi\\\")\\nSERVER_ERROR = ErrorCodeProperties(-11, \\\"Server Lỗi\\\")\\n\\nEXCEPTION = ErrorCodeProperties(-100, \\\"Excection\\\")\\n\\nINVALID_DATA = ErrorCodeProperties(-110, \\\"Invalid Data\\\")\\nINVALID_PARAM = ErrorCodeProperties(-111, \\\"Invalid Param\\\")\\nINVALID_SIGNATURE = ErrorCodeProperties(-112, \\\"Invalid Signature\\\")\\nINVALID_METHOD = ErrorCodeProperties(-200, \\\"Invalid Method\\\")\\n\\nNOT_FOUND = ErrorCodeProperties(-404, \\\"Không Tìm Thấy\\\")\\nBAD_REQUEST = ErrorCodeProperties(-400, \\\"Request Ngu\\\")\"\n },\n {\n \"alpha_fraction\": 0.6715379357337952,\n \"alphanum_fraction\": 0.6729297041893005,\n \"avg_line_length\": 35.871795654296875,\n \"blob_id\": \"c1d9dd2d63aa6ef829199f0a30c0bd5df9fdeb27\",\n \"content_id\": \"3a8045b33c3abb944d2fd08fa914786a87557abe\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1437,\n \"license_type\": \"no_license\",\n \"max_line_length\": 91,\n \"num_lines\": 39,\n \"path\": \"/serverapi/views/users.py\",\n \"repo_name\": \"consokodev/socialapi\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from datetime import datetime\\n\\nfrom django.shortcuts import render\\nfrom rest_framework.views import APIView\\nfrom rest_framework.response import Response\\n\\nfrom api.models import User\\nfrom my_utils.check_fields import check_required_fields\\nfrom my_utils.jwt_authen import CheckAuthen\\nfrom my_utils import response_status\\nfrom my_utils.response_utils import response_fail\\nfrom scmodels.serializers.user_serializers import GetUserProfileSerializer\\n\\n# Create your views here.\\n\\nclass ListUser(APIView):\\n permission_classes = [CheckAuthen]\\n\\n def get(self, request, *args, **kwargs):\\n required_fields = [\\\"last_uid\\\", \\\"limit\\\", \\\"uid\\\"]\\n check_required_fields(required_fields, self.kwargs)\\n\\n limit = self.kwargs.get(\\\"limit\\\")\\n last_uid = 0 if self.kwargs.get(\\\"last_uid\\\") == \\\"0\\\" else self.kwargs.get(\\\"last_uid\\\")\\n check_point = datetime.now()\\n if(last_uid):\\n try:\\n user = User.objects.get(uid=last_uid)\\n check_point = user.created_at\\n except Exception as e:\\n return response_fail()\\n \\n query_ret = User.objects.collect_list_users(check_point, limit)\\n responseData = GetUserProfileSerializer(query_ret, many=True).data\\n return Response({\\n \\\"responseCode\\\": response_status.SUCCESS.code,\\n \\\"responseMessage\\\": response_status.SUCCESS.message,\\n \\\"responseData\\\": responseData,\\n })\"\n },\n {\n \"alpha_fraction\": 0.5163934230804443,\n \"alphanum_fraction\": 0.6000000238418579,\n \"avg_line_length\": 24.41666603088379,\n \"blob_id\": \"c15d9a2527e572c59d12737a2c74bec953f40135\",\n \"content_id\": \"0ac3e94542678ff0a6a57a3c46ac4390e07e178f\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 610,\n \"license_type\": \"no_license\",\n \"max_line_length\": 112,\n \"num_lines\": 24,\n \"path\": \"/api/migrations/0013_auto_20191026_1052.py\",\n \"repo_name\": \"consokodev/socialapi\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# Generated by Django 2.2.6 on 2019-10-26 10:52\\n\\nimport datetime\\nfrom django.db import migrations, models\\nfrom django.utils.timezone import utc\\n\\n\\nclass Migration(migrations.Migration):\\n\\n dependencies = [\\n ('api', '0012_auto_20191026_1052'),\\n ]\\n\\n operations = [\\n migrations.RenameModel(\\n old_name='ForgetPass',\\n new_name='UserOTP',\\n ),\\n migrations.AlterField(\\n model_name='user',\\n name='created_at',\\n field=models.DateTimeField(default=datetime.datetime(2019, 10, 26, 10, 52, 43, 846655, tzinfo=utc)),\\n ),\\n ]\\n\"\n },\n {\n \"alpha_fraction\": 0.5512367486953735,\n \"alphanum_fraction\": 0.6007066965103149,\n \"avg_line_length\": 31.342857360839844,\n \"blob_id\": \"a63945e8215392493ff1c8c8d74b091deea521ec\",\n \"content_id\": \"b65ed0806387fc72bc938d1044587aa18c63d8db\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1132,\n \"license_type\": \"no_license\",\n \"max_line_length\": 155,\n \"num_lines\": 35,\n \"path\": \"/api/migrations/0012_auto_20191026_1052.py\",\n \"repo_name\": \"consokodev/socialapi\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# Generated by Django 2.2.6 on 2019-10-26 10:52\\n\\nimport datetime\\nfrom django.conf import settings\\nfrom django.db import migrations, models\\nimport django.db.models.deletion\\nfrom django.utils.timezone import utc\\n\\n\\nclass Migration(migrations.Migration):\\n\\n dependencies = [\\n ('api', '0011_auto_20191025_1037'),\\n ]\\n\\n operations = [\\n migrations.CreateModel(\\n name='ForgetPass',\\n fields=[\\n ('uid', models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, primary_key=True, serialize=False, to=settings.AUTH_USER_MODEL)),\\n ('email', models.EmailField(max_length=254, unique=True)),\\n ('otp_code_reset_pass', models.CharField(max_length=10)),\\n ],\\n ),\\n migrations.AlterField(\\n model_name='user',\\n name='created_at',\\n field=models.DateTimeField(default=datetime.datetime(2019, 10, 26, 10, 52, 8, 45934, tzinfo=utc)),\\n ),\\n migrations.AlterField(\\n model_name='user',\\n name='password',\\n field=models.CharField(max_length=20),\\n ),\\n ]\\n\"\n },\n {\n \"alpha_fraction\": 0.5873563289642334,\n \"alphanum_fraction\": 0.5879310369491577,\n \"avg_line_length\": 40.82692337036133,\n \"blob_id\": \"4b89e487b6580fadc496e542e15480fa992c517c\",\n \"content_id\": \"60cc3c8ba444d2e7c785ba3cb1cc924255e12a55\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 8700,\n \"license_type\": \"no_license\",\n \"max_line_length\": 134,\n \"num_lines\": 208,\n \"path\": \"/api/views.py\",\n \"repo_name\": \"consokodev/socialapi\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import json\\nimport random\\nimport string\\nfrom pprint import pprint\\n\\nimport facebook\\nimport jwt\\nfrom django.core.exceptions import ObjectDoesNotExist\\nfrom rest_framework import status\\nfrom rest_framework.exceptions import APIException\\nfrom rest_framework.response import Response\\nfrom rest_framework.views import APIView\\n\\nfrom api.models import User, UserOTP\\nfrom scmodels.serializers.user_serializers import (GetUserProfileSerializer,\\n UpdateUserProfileSerializer,\\n UserResetPassSerializer, UserSerializer\\n )\\nfrom my_utils.check_fields import check_required_fields\\nfrom my_utils import response_status\\nfrom my_utils.jwt_authen import CheckAuthen, JwtAuthen\\nfrom my_utils.log_module import logger_socialapi\\nfrom my_utils.response_utils import response_fail, response_success\\nfrom socialapi.settings import SECRET_KEY\\nfrom api.tasks import email_reset_pass\\n\\n\\nclass CreateUser(APIView):\\n\\n def post(self, request, *args, **kwargs):\\n required_fields = [\\\"email\\\", \\\"password\\\"]\\n check_required_fields(required_fields, request.data)\\n \\n user_serializer = UserSerializer(data=request.data)\\n\\n if(user_serializer.is_valid()):\\n try:\\n email = user_serializer.validated_data.get(\\\"email\\\")\\n User.objects.get(email=email)\\n return Response({\\n 'ResponseCode': response_status.USER_EXISTED.code,\\n 'ResponseMessage': response_status.USER_EXISTED.message\\n })\\n except ObjectDoesNotExist as e:\\n user = user_serializer.save()\\n logger_socialapi.info(f'SUCCESS: Created User {user.email}')\\n responseData = dict(GetUserProfileSerializer(user).data)\\n return Response({\\n \\\"responseCode\\\": response_status.SUCCESS.code,\\n \\\"responseMessage\\\": response_status.SUCCESS.message,\\n \\\"token\\\": JwtAuthen.create_jwt(responseData),\\n \\\"responseData\\\": responseData,\\n })\\n except Exception as e:\\n logger_socialapi.exception(f'Error: Register Failed')\\n return response_fail()\\n elif(user_serializer.errors):\\n return Response({\\n 'ResponseCode': response_status.FAIL.code,\\n 'ResponseMessage': user_serializer.errors\\n })\\n\\n\\nclass LoginUserFace(APIView):\\n\\n def post(self, request, *args, **kwargs):\\n required_fields = [\\\"fb_id\\\", \\\"access_token\\\"]\\n check_required_fields(required_fields, request.data)\\n \\n try:\\n fb_id = request.data.get('fb_id')\\n access_token = request.data.get('access_token')\\n profile = facebook.GraphAPI(access_token=access_token).get_object('me', fields='email,name,gender,birthday')\\n except Exception as e:\\n logger_socialapi.exception(f'Error: Register Facebook Failed')\\n return response_fail()\\n if(fb_id == profile.get('id')):\\n fb_id, email, name = profile.get('id'), profile.get('email'), profile.get('name')\\n try:\\n user = User.objects.get(fb_id=fb_id)\\n if(hasattr(user, 'is_banned') and user.is_banned == 1):\\n return Response({\\n \\\"responseCode\\\": response_status.USER_BANNED.code,\\n \\\"responseMessage\\\": response_status.USER_BANNED.message \\n })\\n # elif(hasattr(user, 'is_activated') and user.is_activated == 0):\\n # return Response({\\n # \\\"responseCode\\\": response_status.USER_INACTIVATE.code,\\n # \\\"responseMessage\\\": response_status.USER_INACTIVATE.message \\n # })\\n responseData = dict(GetUserProfileSerializer(user).data)\\n except ObjectDoesNotExist as e:\\n logger_socialapi.info(f'Register user {fb_id}')\\n user = User.objects.create(fb_id=fb_id, email=email, fullname=name)\\n responseData = dict(GetUserProfileSerializer(user).data)\\n except Exception as e:\\n logger_socialapi.exception(f'Error: Register Failed {fb_id}')\\n return response_fail()\\n return Response({\\n \\\"responseCode\\\": response_status.SUCCESS.code,\\n \\\"responseMessage\\\": response_status.SUCCESS.message,\\n \\\"token\\\": JwtAuthen.create_jwt(responseData),\\n \\\"responseData\\\": responseData,\\n })\\n else:\\n logger_socialapi.exception(f'Error: Register Failed {fb_id}')\\n return response_fail()\\n\\n\\n# User login if sucess, then return jwt vs user data\\nclass LoginUser(APIView):\\n\\n def post(self, request, *args, **kwargs):\\n required_fields = [\\\"email\\\", \\\"password\\\"]\\n check_required_fields(required_fields, request.data)\\n \\n try:\\n email = request.data.get('email')\\n password = request.data.get('password')\\n user = User.objects.get(email=email, password=password)\\n if(hasattr(user, 'is_banned') and user.is_banned == 1):\\n return Response({\\n \\\"responseCode\\\": response_status.USER_BANNED.code,\\n \\\"responseMessage\\\": response_status.USER_BANNED.message \\n })\\n # elif(hasattr(user, 'is_activated') and user.is_activated == 0):\\n # return Response({\\n # \\\"responseCode\\\": response_status.USER_INACTIVATE.code,\\n # \\\"responseMessage\\\": response_status.USER_INACTIVATE.message \\n # })\\n else:\\n responseData = dict(GetUserProfileSerializer(user).data)\\n return Response({\\n \\\"responseCode\\\": response_status.SUCCESS.code,\\n \\\"responseMessage\\\": response_status.SUCCESS.message,\\n \\\"token\\\": JwtAuthen.create_jwt(responseData),\\n \\\"responseData\\\": responseData,\\n })\\n except ObjectDoesNotExist as e:\\n return Response(\\n {\\n \\\"responseCode\\\": response_status.USER_LOGIN_FAILED.code,\\n \\\"responseMessage\\\": response_status.USER_LOGIN_FAILED.message,\\n }\\n )\\n\\n\\nclass UpdateUser(APIView):\\n permission_classes = [CheckAuthen]\\n\\n def put(self, request, *args, **kwargs):\\n required_fields = [\\\"uid\\\", \\\"fullname\\\", \\\"gender\\\", \\\"birthday\\\"]\\n check_required_fields(required_fields, request.data)\\n\\n uid = request.data.get(\\\"uid\\\")\\n try:\\n user = User.objects.get(uid=uid)\\n user_serializer = UpdateUserProfileSerializer(user, data=request.data)\\n user_serializer.is_valid(raise_exception=True)\\n user_serializer.save()\\n responseData = dict(user_serializer.data)\\n return Response({\\n \\\"responseCode\\\": response_status.SUCCESS.code,\\n \\\"responseMessage\\\": response_status.SUCCESS.message,\\n \\\"responseData\\\": responseData,\\n })\\n except ObjectDoesNotExist as e:\\n return Response({\\n \\\"ResponseCode\\\": response_status.USER_NOT_EXISTED.code,\\n \\\"ResponseMessage\\\": response_status.USER_NOT_EXISTED.message\\n })\\n except Exception as e:\\n return response_fail()\\n \\n\\nclass LogoutUser(APIView):\\n\\n def get(self, request, *args, **kwargs):\\n return response_success()\\n\\nclass UserResetPass(APIView):\\n\\n def post(self, request, *args, **kwargs):\\n required_fields = [\\\"email\\\"]\\n check_required_fields(required_fields, request.data)\\n email = request.data.get(\\\"email\\\")\\n try:\\n user = User.objects.get(email=email)\\n otp_code_reset_pass = ''.join(random.choices(string.digits, k = 4))\\n user_otp = UserResetPassSerializer(data={\\\"uid\\\": str(user.uid),\\\"email\\\": email, \\\"otp_code_reset_pass\\\": otp_code_reset_pass})\\n user_otp.is_valid(raise_exception=True)\\n user_otp.save()\\n #email_reset_pass.delay(email, otp_code_reset_pass)\\n return response_success()\\n except ObjectDoesNotExist as e:\\n return Response({\\n \\\"ResponseCode\\\": response_status.USER_NOT_EXISTED.code,\\n \\\"ResponseMessage\\\": response_status.USER_NOT_EXISTED.message\\n })\\n except Exception as e:\\n return response_fail()\\n\\n\\nclass HelloView(APIView):\\n permission_classes = [CheckAuthen]\\n\\n def get(self, request):\\n return Response('Huraaaaa')\\n\"\n },\n {\n \"alpha_fraction\": 0.6792828440666199,\n \"alphanum_fraction\": 0.6917330622673035,\n \"avg_line_length\": 36.185184478759766,\n \"blob_id\": \"494351474f4fb5d5509a2d91978dab7bb0acb2f3\",\n \"content_id\": \"3d9597d929ecf936b52e5896ca819786ad59dc26\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2008,\n \"license_type\": \"no_license\",\n \"max_line_length\": 99,\n \"num_lines\": 54,\n \"path\": \"/api/models.py\",\n \"repo_name\": \"consokodev/socialapi\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"\\nimport datetime\\nimport uuid\\n\\nfrom django.contrib.auth.base_user import AbstractBaseUser, BaseUserManager\\nfrom django.contrib.auth.models import PermissionsMixin\\nfrom django.db import models\\nfrom django.utils import timezone\\n\\n\\nclass UserManager(BaseUserManager):\\n \\n def collect_list_users(self, check_point, limit, *args, **kwargs):\\n return User.objects.filter(created_at__lte=check_point).order_by('-created_at')[:limit]\\n\\nclass User(AbstractBaseUser, PermissionsMixin):\\n GENDER_CHOICES = (\\n ('1', 'MALE'),\\n ('2', 'FEMALE'),\\n ('3', 'OTHERS'),\\n )\\n uid = models.UUIDField(primary_key=True, default=uuid.uuid4, editable=False)\\n email = models.EmailField(unique=True, db_index=True, null=True, editable=False)\\n fb_id = models.CharField(unique=True, max_length=255, db_index=True, null=True, editable=False)\\n password = models.CharField(max_length=20, null=False)\\n account_type = models.IntegerField(null=False, editable=False) #0: Email, 1: Face\\n fullname = models.CharField(max_length=255, null=True)\\n gender = models.BooleanField(choices=GENDER_CHOICES, max_length=1, null=True)\\n birthday = models.DateField(null=True)\\n avatar = models.CharField(max_length=255, null=True)\\n is_banned = models.BooleanField(default=False, null=False)\\n created_at = models.DateTimeField(default=timezone.now(), null=False)\\n is_activated = models.BooleanField(default=False, null=False)\\n\\n objects = UserManager()\\n \\n def save(self, *args, **kwargs):\\n self.account_type = 1 if(self.fb_id) else 0\\n super().save(*args, **kwargs)\\n\\n\\n USERNAME_FIELD = 'uid'\\n\\n class Meta:\\n ordering = ['created_at']\\n \\n # def __str__(self):\\n # return self.email\\n\\nclass UserOTP(models.Model):\\n uid = models.CharField(primary_key=True, max_length=255, editable=False)\\n email = models.EmailField(unique=True, null=False, blank=False)\\n otp_code_reset_pass = models.CharField(max_length=10)\\n\\n objects = models.Manager()\"\n },\n {\n \"alpha_fraction\": 0.5944369435310364,\n \"alphanum_fraction\": 0.6191117167472839,\n \"avg_line_length\": 53.36585235595703,\n \"blob_id\": \"b500eeffb7649fd264745a52aeb271aff27467d9\",\n \"content_id\": \"3e514d80ccbfba5feb0d108f58253473dec4dee5\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2229,\n \"license_type\": \"no_license\",\n \"max_line_length\": 266,\n \"num_lines\": 41,\n \"path\": \"/api/migrations/0001_initial.py\",\n \"repo_name\": \"consokodev/socialapi\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# Generated by Django 2.2.6 on 2019-10-16 15:22\\n\\nimport datetime\\nfrom django.db import migrations, models\\nfrom django.utils.timezone import utc\\nimport uuid\\n\\n\\nclass Migration(migrations.Migration):\\n\\n initial = True\\n\\n dependencies = [\\n ('auth', '0011_update_proxy_permissions'),\\n ]\\n\\n operations = [\\n migrations.CreateModel(\\n name='User',\\n fields=[\\n ('last_login', models.DateTimeField(blank=True, null=True, verbose_name='last login')),\\n ('is_superuser', models.BooleanField(default=False, help_text='Designates that this user has all permissions without explicitly assigning them.', verbose_name='superuser status')),\\n ('uid', models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False)),\\n ('email', models.EmailField(db_index=True, max_length=254, unique=True)),\\n ('password', models.CharField(max_length=255)),\\n ('account_type', models.CharField(default='Email', max_length=100)),\\n ('fullname', models.CharField(max_length=255, null=True)),\\n ('gender', models.BooleanField(choices=[(False, 'Nam'), (True, 'Nu')], null=True)),\\n ('birthday', models.DateField(null=True)),\\n ('avatar', models.CharField(max_length=255, null=True)),\\n ('is_banned', models.BooleanField(default=False)),\\n ('created_at', models.DateTimeField(default=datetime.datetime(2019, 10, 16, 15, 22, 46, 427699, tzinfo=utc))),\\n ('is_activated', models.BooleanField(default=False)),\\n ('groups', models.ManyToManyField(blank=True, help_text='The groups this user belongs to. A user will get all permissions granted to each of their groups.', related_name='user_set', related_query_name='user', to='auth.Group', verbose_name='groups')),\\n ('user_permissions', models.ManyToManyField(blank=True, help_text='Specific permissions for this user.', related_name='user_set', related_query_name='user', to='auth.Permission', verbose_name='user permissions')),\\n ],\\n options={\\n 'ordering': ['created_at'],\\n },\\n ),\\n ]\\n\"\n },\n {\n \"alpha_fraction\": 0.5356125235557556,\n \"alphanum_fraction\": 0.6111111044883728,\n \"avg_line_length\": 27.079999923706055,\n \"blob_id\": \"1f090da87343ebf8ab7bf6015f93e1af00dd09fc\",\n \"content_id\": \"16e4f8ae8ce3c9fb9773cdd963d00c8bf5e8e868\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 702,\n \"license_type\": \"no_license\",\n \"max_line_length\": 111,\n \"num_lines\": 25,\n \"path\": \"/api/migrations/0017_auto_20191027_0918.py\",\n \"repo_name\": \"consokodev/socialapi\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# Generated by Django 2.2.6 on 2019-10-27 09:18\\n\\nimport datetime\\nfrom django.db import migrations, models\\nfrom django.utils.timezone import utc\\n\\n\\nclass Migration(migrations.Migration):\\n\\n dependencies = [\\n ('api', '0016_auto_20191027_0900'),\\n ]\\n\\n operations = [\\n migrations.AlterField(\\n model_name='user',\\n name='created_at',\\n field=models.DateTimeField(default=datetime.datetime(2019, 10, 27, 9, 18, 12, 265723, tzinfo=utc)),\\n ),\\n migrations.AlterField(\\n model_name='userotp',\\n name='uid',\\n field=models.CharField(editable=False, max_length=255, primary_key=True, serialize=False),\\n ),\\n ]\\n\"\n },\n {\n \"alpha_fraction\": 0.6503401398658752,\n \"alphanum_fraction\": 0.6523809432983398,\n \"avg_line_length\": 37.71052551269531,\n \"blob_id\": \"52e32849c30dc3455652b32ad0e2c74d137a1405\",\n \"content_id\": \"f45f44cdc6a2868ebfbc792a3237dd89ac4bfed4\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1470,\n \"license_type\": \"no_license\",\n \"max_line_length\": 126,\n \"num_lines\": 38,\n \"path\": \"/scmodels/serializers/user_serializers.py\",\n \"repo_name\": \"consokodev/socialapi\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from rest_framework import serializers\\nfrom api.models import User, UserOTP\\n\\nclass UserSerializer(serializers.ModelSerializer):\\n password = serializers.CharField(min_length=3, max_length=16, required=True)\\n email = serializers.EmailField(required=True)\\n class Meta:\\n model = User\\n fields = ('email', 'password')\\n\\nclass GetUserProfileSerializer(serializers.ModelSerializer):\\n class Meta:\\n model = User\\n fields = ('uid', 'email', 'account_type', 'fullname', 'gender', 'birthday', 'is_banned', 'is_activated', 'created_at')\\n\\n # def to_representation(self, instance):\\n # ret = super().to_representation(instance)\\n # ret['uid'] = instance.uid.hex\\n # return ret\\n\\nclass UpdateUserProfileSerializer(serializers.ModelSerializer):\\n class Meta:\\n model = User\\n fields = ('uid', 'fullname', 'gender', 'birthday')\\n\\nclass UserResetPassSerializer(serializers.ModelSerializer):\\n uid = serializers.CharField(required=True)\\n email = serializers.CharField(required=True)\\n \\n class Meta:\\n model = UserOTP\\n fields = ('uid', 'email', 'otp_code_reset_pass')\\n \\n def create(self, validated_data):\\n user_otp = UserOTP.objects.update_or_create(email=validated_data.get('email', None),\\n defaults={'otp_code_reset_pass': validated_data.get('otp_code_reset_pass', None),\\n 'uid': validated_data.get('uid', None)})\\n return user_otp\"\n },\n {\n \"alpha_fraction\": 0.6990049481391907,\n \"alphanum_fraction\": 0.6990049481391907,\n \"avg_line_length\": 27.785715103149414,\n \"blob_id\": \"a21ef4cc80cf5325ad699c9bceb0ef690db0fa48\",\n \"content_id\": \"2faa79a0391f76d937f2694bafc695c77e8908c7\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 402,\n \"license_type\": \"no_license\",\n \"max_line_length\": 57,\n \"num_lines\": 14,\n \"path\": \"/my_utils/response_utils.py\",\n \"repo_name\": \"consokodev/socialapi\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from rest_framework.response import Response\\nfrom my_utils import response_status\\n\\ndef response_fail():\\n return Response({\\n 'ReponseCode': response_status.FAIL.code,\\n 'ReponseMessage': response_status.FAIL.message\\n })\\n\\ndef response_success():\\n return Response({\\n 'ReponseCode': response_status.SUCCESS.code,\\n 'ReponseMessage': response_status.SUCCESS.message\\n })\"\n },\n {\n \"alpha_fraction\": 0.5328571200370789,\n \"alphanum_fraction\": 0.6100000143051147,\n \"avg_line_length\": 27,\n \"blob_id\": \"6970788ac003d2aa823ff68003a8551403ffca57\",\n \"content_id\": \"5f278fed7405d54f25c7c1d620438cddc6c9daaf\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 700,\n \"license_type\": \"no_license\",\n \"max_line_length\": 112,\n \"num_lines\": 25,\n \"path\": \"/api/migrations/0014_auto_20191026_1233.py\",\n \"repo_name\": \"consokodev/socialapi\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# Generated by Django 2.2.6 on 2019-10-26 12:33\\n\\nimport datetime\\nfrom django.db import migrations, models\\nfrom django.utils.timezone import utc\\n\\n\\nclass Migration(migrations.Migration):\\n\\n dependencies = [\\n ('api', '0013_auto_20191026_1052'),\\n ]\\n\\n operations = [\\n migrations.AlterField(\\n model_name='user',\\n name='created_at',\\n field=models.DateTimeField(default=datetime.datetime(2019, 10, 26, 12, 33, 34, 865185, tzinfo=utc)),\\n ),\\n migrations.AlterField(\\n model_name='userotp',\\n name='uid',\\n field=models.CharField(max_length=255, primary_key=True, serialize=False, unique=True),\\n ),\\n ]\\n\"\n },\n {\n \"alpha_fraction\": 0.6897106170654297,\n \"alphanum_fraction\": 0.6961414813995361,\n \"avg_line_length\": 45.074073791503906,\n \"blob_id\": \"c5a20652a8f42a2ebd885293f8ee011e242425f4\",\n \"content_id\": \"c967bd148896bc9258a2199adfd6ca2163c825ee\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1244,\n \"license_type\": \"no_license\",\n \"max_line_length\": 107,\n \"num_lines\": 27,\n \"path\": \"/api/urls.py\",\n \"repo_name\": \"consokodev/socialapi\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"\\\"\\\"\\\"socialapi URL Configuration\\n\\nThe `urlpatterns` list routes URLs to views. For more information please see:\\n https://docs.djangoproject.com/en/2.2/topics/http/urls/\\nExamples:\\nFunction views\\n 1. Add an import: from my_app import views\\n 2. Add a URL to urlpatterns: path('', views.home, name='home')\\nClass-based views\\n 1. Add an import: from other_app.views import Home\\n 2. Add a URL to urlpatterns: path('', Home.as_view(), name='home')\\nIncluding another URLconf\\n 1. Import the include() function: from django.urls import include, path\\n 2. Add a URL to urlpatterns: path('blog/', include('blog.urls'))\\n\\\"\\\"\\\"\\nfrom django.urls import include, path\\nfrom api.views import CreateUser, LoginUser, HelloView, LoginUserFace, LogoutUser, UpdateUser,UserResetPass\\n\\nurlpatterns = [\\n path('user/', CreateUser.as_view(), name='createuser'),\\n path('user/email/', LoginUser.as_view(), name='loginuser'),\\n path('user/fb/', LoginUserFace.as_view(), name='loginuserface'),\\n path('user/logout/', LogoutUser.as_view(), name='logout'),\\n path('user/update/', UpdateUser.as_view(), name='update'),\\n path('user/resetpass/', UserResetPass.as_view(), name='resetpass'),\\n path('hello/', HelloView.as_view(), name='hello'),\\n]\\n\"\n },\n {\n \"alpha_fraction\": 0.7525597214698792,\n \"alphanum_fraction\": 0.755972683429718,\n \"avg_line_length\": 29.894737243652344,\n \"blob_id\": \"194dd51be294504ff5db9590aac90c7a1e93dda0\",\n \"content_id\": \"583a49caced1ad822a9930e9c34df20a50eea81c\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 586,\n \"license_type\": \"no_license\",\n \"max_line_length\": 69,\n \"num_lines\": 19,\n \"path\": \"/socialapi/celery.py\",\n \"repo_name\": \"consokodev/socialapi\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\nfrom __future__ import absolute_import, unicode_literals\\nimport os\\n\\nfrom celery import Celery\\nfrom socialapi import settings\\n\\n# set the default Django settings module for the 'celery' program.\\nos.environ.setdefault('DJANGO_SETTINGS_MODULE', 'socialapi.settings')\\n\\napp = Celery('socialapi')\\napp.config_from_object('django.conf:settings', namespace='CELERY')\\n\\n# Auto detect all task file in all Django installed app\\napp.autodiscover_tasks(lambda: settings.INSTALLED_APPS)\\n\\n@app.task(bind=True)\\ndef debug_task(self):\\n print('Request: {0!r}'.format(self.request))\"\n },\n {\n \"alpha_fraction\": 0.5223880410194397,\n \"alphanum_fraction\": 0.6014925241470337,\n \"avg_line_length\": 25.799999237060547,\n \"blob_id\": \"798bea4616e73c55ea8586186f908a9ddb8ed533\",\n \"content_id\": \"4ad1d132d5c383f0e1ce1623067bacd45796f43a\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 670,\n \"license_type\": \"no_license\",\n \"max_line_length\": 110,\n \"num_lines\": 25,\n \"path\": \"/api/migrations/0003_auto_20191018_0952.py\",\n \"repo_name\": \"consokodev/socialapi\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# Generated by Django 2.2.6 on 2019-10-18 09:52\\n\\nimport datetime\\nfrom django.db import migrations, models\\nfrom django.utils.timezone import utc\\n\\n\\nclass Migration(migrations.Migration):\\n\\n dependencies = [\\n ('api', '0002_auto_20191017_1726'),\\n ]\\n\\n operations = [\\n migrations.AlterField(\\n model_name='user',\\n name='account_type',\\n field=models.IntegerField(default=1, max_length=100),\\n ),\\n migrations.AlterField(\\n model_name='user',\\n name='created_at',\\n field=models.DateTimeField(default=datetime.datetime(2019, 10, 18, 9, 52, 57, 49039, tzinfo=utc)),\\n ),\\n ]\\n\"\n },\n {\n \"alpha_fraction\": 0.5291750431060791,\n \"alphanum_fraction\": 0.6257545351982117,\n \"avg_line_length\": 23.850000381469727,\n \"blob_id\": \"ccddab6d530b53c1d0aa3e20f4322a49a91da279\",\n \"content_id\": \"02a05104f0890446ab9bb9057d0b79dd279ba895\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 497,\n \"license_type\": \"no_license\",\n \"max_line_length\": 109,\n \"num_lines\": 20,\n \"path\": \"/api/migrations/0016_auto_20191027_0900.py\",\n \"repo_name\": \"consokodev/socialapi\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# Generated by Django 2.2.6 on 2019-10-27 09:00\\n\\nimport datetime\\nfrom django.db import migrations, models\\nfrom django.utils.timezone import utc\\n\\n\\nclass Migration(migrations.Migration):\\n\\n dependencies = [\\n ('api', '0015_auto_20191027_0841'),\\n ]\\n\\n operations = [\\n migrations.AlterField(\\n model_name='user',\\n name='created_at',\\n field=models.DateTimeField(default=datetime.datetime(2019, 10, 27, 9, 0, 5, 843604, tzinfo=utc)),\\n ),\\n ]\\n\"\n },\n {\n \"alpha_fraction\": 0.7582417726516724,\n \"alphanum_fraction\": 0.7582417726516724,\n \"avg_line_length\": 17.200000762939453,\n \"blob_id\": \"738138981c787ddf8f266d428742cd6a3dbaae81\",\n \"content_id\": \"5ba0ab0904d5f7e7c5ba197c4b0b1998af203751\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 91,\n \"license_type\": \"no_license\",\n \"max_line_length\": 33,\n \"num_lines\": 5,\n \"path\": \"/scmodels/apps.py\",\n \"repo_name\": \"consokodev/socialapi\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from django.apps import AppConfig\\n\\n\\nclass ScmodelsConfig(AppConfig):\\n name = 'scmodels'\\n\"\n },\n {\n \"alpha_fraction\": 0.7341772317886353,\n \"alphanum_fraction\": 0.7341772317886353,\n \"avg_line_length\": 16.55555534362793,\n \"blob_id\": \"d66bc6bf3194e6f4e11c226451a1aab3ab16e23b\",\n \"content_id\": \"fa827a3035aa6a8560293872cd8bd95c0f491727\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 158,\n \"license_type\": \"no_license\",\n \"max_line_length\": 28,\n \"num_lines\": 9,\n \"path\": \"/README.md\",\n \"repo_name\": \"consokodev/socialapi\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# App Features\\n- Register user via email\\n- Register user via Facebook\\n- Login user\\n- Update user info\\n- Reset pass.\\n\\n# Backend Tool Features\\n- List all user.\\n\"\n },\n {\n \"alpha_fraction\": 0.4610169529914856,\n \"alphanum_fraction\": 0.46305084228515625,\n \"avg_line_length\": 27.384614944458008,\n \"blob_id\": \"e26e2849b753933b3672bb08c45d026e19f510b0\",\n \"content_id\": \"d42e6315ce5a64b4aace45b994849d5897552428\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1475,\n \"license_type\": \"no_license\",\n \"max_line_length\": 103,\n \"num_lines\": 52,\n \"path\": \"/my_utils/log_module.py\",\n \"repo_name\": \"consokodev/socialapi\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import logging\\nimport os\\nfrom logging import config\\n\\nBASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))\\n\\ndef config_log(log_name, log_level):\\n log_name = log_name\\n LOGGING = {\\n 'version': 1,\\n 'disable_existing_loggers': False,\\n 'formatters': {\\n 'standard': {\\n 'format': \\\"[%(asctime)s] %(levelname)s [%(name)s.%(funcName)s:%(lineno)d] %(message)s\\\",\\n 'datefmt': \\\"%d/%b/%Y %H:%M:%S\\\"\\n },\\n },\\n 'handlers': {\\n 'console': {\\n 'level': log_level,\\n 'formatter': 'standard',\\n 'class': 'logging.StreamHandler',\\n },\\n 'file': {\\n 'level': log_level,\\n 'formatter': 'standard',\\n 'backupCount': 7,\\n 'interval': 1,\\n 'when': 'midnight',\\n 'class': 'logging.handlers.TimedRotatingFileHandler',\\n 'filename': BASE_DIR + \\\"/logs/\\\" + log_name + \\\".log\\\"\\n },\\n },\\n 'loggers': {\\n log_name: {\\n # 'handlers': ['console', 'file'],\\n 'handlers': ['console'],\\n 'level': log_level,\\n },\\n }\\n }\\n\\n logging.config.dictConfig(LOGGING)\\n\\nif(str(os.getenv('ENV_SCRIPT')) == 'prod'):\\n log_level = 'INFO'\\nelse:\\n log_level = 'DEBUG'\\n\\n\\nconfig_log('socialapi', log_level)\\nlogger_socialapi = logging.getLogger('socialapi')\"\n },\n {\n \"alpha_fraction\": 0.7123287916183472,\n \"alphanum_fraction\": 0.7123287916183472,\n \"avg_line_length\": 39.66666793823242,\n \"blob_id\": \"e8c3c455430f5bc5a17f4a7f3e30e550b7b5699e\",\n \"content_id\": \"2c50a0b08d6ceefa8039d7e8f497fefe92dc9bb1\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 365,\n \"license_type\": \"no_license\",\n \"max_line_length\": 75,\n \"num_lines\": 9,\n \"path\": \"/my_utils/check_fields.py\",\n \"repo_name\": \"consokodev/socialapi\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from my_utils import cus_exception\\n\\ndef check_required_fields(required_fields, request_data):\\n for item in required_fields:\\n if item not in request_data:\\n raise cus_exception.ValidationFailed(f'Lack of {item} field')\\n\\n if(len(required_fields) != len(request_data)):\\n raise cus_exception.ValidationFailed(f'You have unexpected fields')\"\n },\n {\n \"alpha_fraction\": 0.5131579041481018,\n \"alphanum_fraction\": 0.5756579041481018,\n \"avg_line_length\": 29.399999618530273,\n \"blob_id\": \"6d6c1fd574bd132062a00b780b8615cfe2912087\",\n \"content_id\": \"435aad166cbb6b2bd621dbd45bf122cee86d500c\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 912,\n \"license_type\": \"no_license\",\n \"max_line_length\": 122,\n \"num_lines\": 30,\n \"path\": \"/api/migrations/0004_auto_20191024_0156.py\",\n \"repo_name\": \"consokodev/socialapi\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# Generated by Django 2.2.6 on 2019-10-24 01:56\\n\\nimport datetime\\nfrom django.db import migrations, models\\nfrom django.utils.timezone import utc\\n\\n\\nclass Migration(migrations.Migration):\\n\\n dependencies = [\\n ('api', '0003_auto_20191018_0952'),\\n ]\\n\\n operations = [\\n migrations.AlterField(\\n model_name='user',\\n name='created_at',\\n field=models.DateTimeField(default=datetime.datetime(2019, 10, 24, 1, 56, 35, 276112, tzinfo=utc)),\\n ),\\n migrations.AlterField(\\n model_name='user',\\n name='fb_id',\\n field=models.CharField(db_index=True, max_length=255, null=True, unique=True),\\n ),\\n migrations.AlterField(\\n model_name='user',\\n name='gender',\\n field=models.BooleanField(choices=[('1', 'MALE'), ('2', 'FEMALE'), ('3', 'OTHERS')], max_length=1, null=True),\\n ),\\n ]\\n\"\n },\n {\n \"alpha_fraction\": 0.6446078419685364,\n \"alphanum_fraction\": 0.6519607901573181,\n \"avg_line_length\": 26.233333587646484,\n \"blob_id\": \"196af15d7a79cc2845de73b91af7f6cacc79b662\",\n \"content_id\": \"93e6f8fc08b9bb41783c7de2e1d0eaee1fbc9232\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 816,\n \"license_type\": \"no_license\",\n \"max_line_length\": 61,\n \"num_lines\": 30,\n \"path\": \"/my_utils/cus_exception.py\",\n \"repo_name\": \"consokodev/socialapi\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from rest_framework.exceptions import APIException\\nfrom rest_framework import status\\nfrom my_utils import response_status\\n\\n\\n\\nclass ValidationFailed(APIException):\\n status_code = status.HTTP_400_BAD_REQUEST\\n default_detail = ('Invalid input.')\\n default_code = 'invalid'\\n\\n def __init__(self, message=None, detail=None, code=None):\\n\\n self.detail = {\\n 'ReponseCode': response_status.FAIL.code,\\n 'ReponseMessage': message\\n }\\n\\n\\nclass TokenInvalid(APIException):\\n status_code = status.HTTP_400_BAD_REQUEST\\n default_detail = ('Invalid input.')\\n default_code = 'invalid'\\n\\n def __init__(self, message=None, detail=None, code=None):\\n\\n self.detail = {\\n 'ReponseCode': response_status.FAIL.code,\\n 'ReponseMessage': \\\"Token invalid\\\"\\n }\"\n },\n {\n \"alpha_fraction\": 0.5317185521125793,\n \"alphanum_fraction\": 0.5928488969802856,\n \"avg_line_length\": 27.899999618530273,\n \"blob_id\": \"f8bf3cb33b2b7733b2f1ed515ba3f69af818277d\",\n \"content_id\": \"26d7e6f772d2ac00e99e0e21dcb9201859fb2f9c\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 867,\n \"license_type\": \"no_license\",\n \"max_line_length\": 111,\n \"num_lines\": 30,\n \"path\": \"/api/migrations/0007_auto_20191025_0224.py\",\n \"repo_name\": \"consokodev/socialapi\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# Generated by Django 2.2.6 on 2019-10-25 02:24\\n\\nimport datetime\\nfrom django.db import migrations, models\\nfrom django.utils.timezone import utc\\n\\n\\nclass Migration(migrations.Migration):\\n\\n dependencies = [\\n ('api', '0006_auto_20191024_0201'),\\n ]\\n\\n operations = [\\n migrations.AlterField(\\n model_name='user',\\n name='account_type',\\n field=models.IntegerField(editable=False),\\n ),\\n migrations.AlterField(\\n model_name='user',\\n name='created_at',\\n field=models.DateTimeField(default=datetime.datetime(2019, 10, 25, 2, 24, 26, 588645, tzinfo=utc)),\\n ),\\n migrations.AlterField(\\n model_name='user',\\n name='email',\\n field=models.EmailField(db_index=True, editable=False, max_length=254, null=True, unique=True),\\n ),\\n ]\\n\"\n },\n {\n \"alpha_fraction\": 0.5823096036911011,\n \"alphanum_fraction\": 0.6437346339225769,\n \"avg_line_length\": 29.148147583007812,\n \"blob_id\": \"c99549a37c95b111e8c5f4892206f27456028122\",\n \"content_id\": \"c8111247c5c21b9a82e3c19f8ece7a0d4805d8f4\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 814,\n \"license_type\": \"no_license\",\n \"max_line_length\": 148,\n \"num_lines\": 27,\n \"path\": \"/api/migrations/0018_auto_20191027_0936.py\",\n \"repo_name\": \"consokodev/socialapi\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# Generated by Django 2.2.6 on 2019-10-27 09:36\\n\\nimport datetime\\nfrom django.conf import settings\\nfrom django.db import migrations, models\\nimport django.db.models.deletion\\nfrom django.utils.timezone import utc\\n\\n\\nclass Migration(migrations.Migration):\\n\\n dependencies = [\\n ('api', '0017_auto_20191027_0918'),\\n ]\\n\\n operations = [\\n migrations.AlterField(\\n model_name='user',\\n name='created_at',\\n field=models.DateTimeField(default=datetime.datetime(2019, 10, 27, 9, 36, 21, 114555, tzinfo=utc)),\\n ),\\n migrations.AlterField(\\n model_name='userotp',\\n name='uid',\\n field=models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, primary_key=True, serialize=False, to=settings.AUTH_USER_MODEL),\\n ),\\n ]\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":28,"string":"28"}}},{"rowIdx":2980094,"cells":{"repo_name":{"kind":"string","value":"imgarth/motiky"},"repo_url":{"kind":"string","value":"https://github.com/imgarth/motiky"},"snapshot_id":{"kind":"string","value":"14847f88e29fcb89ff1030d60495af63a25c9cc2"},"revision_id":{"kind":"string","value":"59bf2a27454e65c3547f786e7770812e9ff803ab"},"directory_id":{"kind":"string","value":"d93d6d1e590d0baafa3c95b336f3aa5aa0ff3cc2"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2021-01-20T22:55:10.690413","string":"2021-01-20T22:55:10.690413"},"revision_date":{"kind":"timestamp","value":"2013-06-26T14:51:59","string":"2013-06-26T14:51:59"},"committer_date":{"kind":"timestamp","value":"2013-06-26T14:51:59","string":"2013-06-26T14:51:59"},"github_id":{"kind":"null"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.7269043922424316,"alphanum_fraction":0.7269043922424316,"avg_line_length":29.09756088256836,"blob_id":"af107e8e6c0a0cf42fd3156070499fb8cdfbb94b","content_id":"f1827a09f2d7d7029f35e7095ac3e7aab90b43fc","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1234,"license_type":"no_license","max_line_length":72,"num_lines":41,"path":"/manage.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"import os\nimport sys\nfrom flask import current_app\nfrom flask.ext.script import Manager,prompt,prompt_pass,\\\n prompt_bool,prompt_choices\nfrom flask.ext.script import Server\nfrom werkzeug import generate_password_hash,check_password_hash\n\nfrom motiky import configs\nfrom motiky.configs import db\nfrom motiky import create_app\n\nfrom motiky.logic.models import CmsUser\n\napp = create_app(configs.ProductionConfig)\nmanager = Manager(app)\n\n@manager.command\ndef create_all():\n if prompt_bool(\"Are you sure? You will init your database\"):\n db.create_all()\n\n@manager.command\ndef drop_all():\n if prompt_bool(\"Are you sure? You will lose all your data!\"):\n db.drop_all()\n\n@manager.option('-u','--username',dest='username',required=True)\n@manager.option('-p','--password',dest='password',required=True)\n@manager.option('-e','--email',dest='email',required=True)\ndef createuser(username=None,password=None,email=None):\n password = generate_password_hash(password)\n cmsuser = CmsUser(username=username,password=password,email=email)\n db.session.add(cmsuser)\n db.session.commit()\n print 'cms user was created'\n\nmanager.add_command('runserver',Server())\n\nif __name__ == '__main__':\n manager.run()\n"},{"alpha_fraction":0.6164383292198181,"alphanum_fraction":0.6301369667053223,"avg_line_length":13.199999809265137,"blob_id":"66af4cec3e8040ef2cd67892faf6dd6cb705d2cc","content_id":"681b615d2377c00f71e57fe4713360ce6e666ffd","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":73,"license_type":"no_license","max_line_length":33,"num_lines":5,"path":"/deploy.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n\nimport sys\n\nfrom fabric.api import env,run,cd\n\n\n"},{"alpha_fraction":0.6363480091094971,"alphanum_fraction":0.6397867798805237,"avg_line_length":30.410810470581055,"blob_id":"c834788ffe50a2e9b63458e485ac502a078aaf1e","content_id":"89d4a0ebdcbc56da888eadbdd728f31b3f591f1f","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":5856,"license_type":"no_license","max_line_length":109,"num_lines":185,"path":"/motiky/logic/logic_user.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# author: notedit\n# date: 2013-01-30\n\nimport types\nimport traceback\n\n\nfrom motiky.coreutil import BackendError,register,assert_error\n\nfrom motiky.logic.models import User,Post,UserFollowAsso\n\nfrom motiky.configs import db\n\n@register('get_user')\ndef get_user(user_id):\n multi = False\n if type(user_id) == types.ListType:\n assert_error(all([type(u) == types.IntType for u in user_id]),'ParamError')\n multi = True\n else:\n assert_error(type(user_id) == types.IntType,'ParamError')\n user_id = user_id,\n\n users = User.query.filter(User.id.in_(user_id)).all()\n if not users:\n raise BackendError('EmptyError','用户不存在')\n\n if multi:\n return [u.json for u in users]\n else:\n return users[0].json\n\n@register('get_user_by_username')\ndef get_user_by_username(username):\n user = User.query.filter(User.username == username).first()\n return user.json if user else {}\n\n@register('get_user_by_email')\ndef get_user_by_email(email):\n user = User.query.filter(User.email == email).first()\n return user.json if user else {}\n\n@register('is_username_exist')\ndef is_username_exist(username):\n assert_error(type(username) == types.StringType,'ParamError')\n return True if _check_username(username) else False\n\n@register('is_email_exist')\ndef is_email_exist(email):\n assert_error(type(email) == types.StringType,'ParamError')\n return True if _check_email(email) else False\n\ndef _check_username(username):\n u = User.query.filter(db.func.lower(User.username) == username).first()\n return u\n\ndef _check_email(email):\n u = User.query.filter(User.email == email).first()\n return u\n\n\n@register('add_user')\ndef add_user(username,photo_url,uid,signature='',access_token=''):\n assert_error(type(username)==types.StringType,'ParamError','用户昵称应该为字符串')\n assert_error(photo_url == None or type(photo_url) == types.StringType,'ParamError')\n assert_error(type(uid) == types.StringType,'ParamError')\n\n qd = {\n 'username':username,\n 'photo_url':photo_url or '',\n 'uid':uid,\n 'signature':signature,\n 'access_token':access_token\n }\n\n try:\n user = User(**qd)\n db.session.add(user)\n db.session.commit()\n except:\n db.session.rollback()\n raise BackendError('InternalError',traceback.format_exc())\n\n return user.json\n\n@register('set_user')\ndef set_user(user_id,info_d):\n assert_error(type(user_id) == types.IntType,'ParamError')\n user = User.query.get(user_id)\n try:\n for k,v in info_d.items():\n if v is not None:\n setattr(user,k,v)\n db.session.commit()\n except:\n db.session.rollback()\n raise\n else:\n return user.json\n\n@register('get_user_by_uid')\ndef get_user_by_uid(uid):\n assert_error(type(uid) in (types.StringType,types.ListType),'ParamError')\n multi = False\n if type(uid) == types.ListType:\n multi = True\n else:\n uid = uid,\n\n users = User.query.filter(User.uid.in_(uid)).all()\n if len(users) == 0:\n raise BackendError('EmptyError','用户不存在')\n\n if multi:\n return [u.json for u in users]\n else:\n return users[0].json\n\n\n@register('follow_user')\ndef follow_user(fid,tid):\n assert_error(all([type(_id) == types.IntType for _id in [fid,tid]]),'ParamError')\n try:\n asso = UserFollowAsso(user_id=fid,user_id_to=tid)\n db.session.add(asso)\n db.session.commit()\n except:\n db.session.rollback()\n raise\n else:\n return asso.id\n\n@register('unfollow_user')\ndef unfollow_user(fid,tid):\n assert_error(all([type(_id) == types.IntType for _id in [fid,tid]]),'ParamError')\n asso = UserFollowAsso.query.filter(db.and_(UserFollowAsso.user_id==fid,UserFollowAsso.user_id_to==tid)).\\\n first()\n if asso is None:\n return\n try:\n db.session.delete(asso)\n db.session.commit()\n except:\n db.session.rollback()\n raise\n else:\n return True\n\n@register('is_following_user')\ndef is_following_user(uid,uid_to):\n if type(uid_to) == types.IntType:\n _count = db.session.query(UserFollowAsso.id).\\\n filter(db.and_(UserFollowAsso.user_id == uid,UserFollowAsso.user_id_to == uid_to)).count()\n return True if _count > 0 else False\n elif type(uid_to) == types.ListType:\n follow_uids = db.session.query(UserFollowAsso.user_id_to).\\\n filter(db.and_(UserFollowAsso.user_id == uid,UserFollowAsso.user_id_to.in_(uid_to))).all()\n follow_uids = [u[0] for u in follow_uids]\n ret_list = [(ret,ret in follow_uids) for ret in uid_to]\n return dict(ret_list)\n\n@register('get_user_following')\ndef get_user_following(user_id,limit=50,offset=0):\n assert_error(type(user_id) == types.IntType,'ParamError')\n follows = User.query.join(UserFollowAsso,User.id == UserFollowAsso.user_id_to).\\\n filter(UserFollowAsso.user_id == user_id).limit(limit).offset(offset).all()\n return [u.json for u in follows]\n\n@register('get_user_following_count')\ndef get_user_following_count(user_id):\n _count = UserFollowAsso.query.filter(UserFollowAsso.user_id == user_id).count()\n return _count\n\n@register('get_user_follower')\ndef get_user_follower(user_id,limit=50,offset=0):\n assert_error(type(user_id) == types.IntType,'ParamError')\n follows = User.query.join(UserFollowAsso,User.id == UserFollowAsso.user_id).\\\n filter(UserFollowAsso.user_id_to == user_id).limit(limit).offset(offset).all()\n return [u.json for u in follows]\n\n@register('get_user_follower_count')\ndef get_user_follower_count(user_id):\n _count = UserFollowAsso.query.filter(UserFollowAsso.user_id_to == user_id).count()\n return _count\n\n\n\n\n\n"},{"alpha_fraction":0.5649828314781189,"alphanum_fraction":0.5919568538665771,"avg_line_length":29.417909622192383,"blob_id":"300d419e0fabe507946dfad635ddb266b67b2833","content_id":"3c9b61b175177e87aa57cbd23ca971e4b12888b1","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2039,"license_type":"no_license","max_line_length":81,"num_lines":67,"path":"/tests/test_comment.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n\n\nimport os\nimport sys\nimport types\nimport json\nimport time\nfrom datetime import datetime\nfrom datetime import timedelta\n\nfrom StringIO import StringIO\n\nfrom tests import TestCase\n\n\nfrom motiky.logic.models import User,Post,UserLikeAsso,Report,Install,\\\n UserFollowAsso,Comment,Activity,Action\n\nfrom motiky.logic import backend\n\nfrom motiky.configs import db,redis\n\nclass TestComment(TestCase):\n\n\n def test_comment_view(self):\n\n # post\n user1 = backend.add_user('username01','photo_url01','weibo_id01')\n headers = self.generate_header('weibo_id01')\n post1 = backend.add_post('post01',user1['id'],\n 'video_url','pic_small1')\n\n data = {\n 'author_id':user1['id'],\n 'content':'comment01',\n 'post_id':post1['id']\n }\n\n resp = self.client.post('/comment',data=json.dumps(data),headers=headers,\n content_type='application/json')\n\n _data = json.loads(resp.data)\n assert resp.status_code == 200\n assert _data['content'] == 'comment01'\n \n # delete\n resp = self.client.delete('/comment/%d'%_data['id'],\n headers=headers,content_type='application/json')\n print resp.data\n assert resp.status_code == 204\n\n def test_post_comment_view(self):\n\n user1 = backend.add_user('username01','photo_url01','weibo_id01')\n post1 = backend.add_post('post01',user1['id'],\n 'video_url','pic_small1')\n comment1 = backend.add_comment(post1['id'],'comment1',user1['id'])\n comment2 = backend.add_comment(post1['id'],'comment2',user1['id'])\n comment3 = backend.add_comment(post1['id'],'comment3',user1['id'])\n\n headers = self.generate_header('weibo_id01')\n\n resp = self.client.get('/post/%d/comment' % post1['id'],headers=headers)\n data_get = json.loads(resp.data)\n assert len(data_get['comments']) == 3\n\n"},{"alpha_fraction":0.627364456653595,"alphanum_fraction":0.6368222236633301,"avg_line_length":24.901639938354492,"blob_id":"6a66a454c757ca9390ea870ec606d73d852a7d73","content_id":"658d593958e224a04953b7eba3bb6ee2928fc8f2","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1586,"license_type":"no_license","max_line_length":75,"num_lines":61,"path":"/motiky/views/tag.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# author: notedit <notedit@gmail.com>\n# date: 2013-04-16\n\nimport sys \nimport time\nimport logging\nimport flask\nfrom flask import g\nfrom flask import request\nfrom flask import Blueprint\nfrom flask import redirect\nfrom flask import Response\nfrom flask import current_app\nfrom flask import session\nfrom flask import jsonify\nfrom flask import flash\nfrom flask.views import MethodView\nfrom flask.views import View\n\nfrom motiky import authutil\nfrom motiky.logic import backend\nfrom motiky.coreutil import BackendError\nfrom motiky.configs import rq\n\ninstance = Blueprint('tag',__name__)\n\nclass TagView(MethodView):\n\n def get(self,tag_id):\n try:\n page = int(request.values.get('page'))\n except:\n page = 1\n\n limit = 10\n offset = (page - 1) * 50\n\n tag = backend.get_tag(tag_id)\n posts = backend.get_tag_post(tag_id,limit=limit,offset=offset)\n count = backend.get_tag_post_count(tag_id)\n\n for post in posts:\n try:\n user = backend.get_user(post['author_id'])\n post['user'] = user\n except BackendError,ex:\n continue\n\n return jsonify(tag=tag,posts=posts,count=count,page=page)\n\nclass TagsView(MethodView):\n\n def get(self):\n tags = backend.get_recommend_tags()\n return jsonify(results=tags)\n\ninstance.add_url_rule('/tag/<int:tag_id>',view_func=TagView.as_view('tag'),\n methods=['GET',])\ninstance.add_url_rule('/tags',view_func=TagsView.as_view('tags'),\n methods=['GET',])\n\n\n\n\n\n\n"},{"alpha_fraction":0.5953288674354553,"alphanum_fraction":0.5994598269462585,"avg_line_length":27.475112915039062,"blob_id":"21ac3ae4e1e4cffb0285b0dd7ea2c9c3cc154df3","content_id":"758c33ff29a5a843b1077ee51c266ea47e39b9e5","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":6310,"license_type":"no_license","max_line_length":92,"num_lines":221,"path":"/motiky/logic/logic_post.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# author: notedit\n# date: 2013-01-30\n\nimport types\nimport traceback\n\nfrom motiky.coreutil import BackendError,register,assert_error\n\nfrom motiky.logic.models import User,Post,UserLikeAsso,UserPlayAsso\n\nfrom motiky.configs import db\n\n\n@register('get_post')\ndef get_post(post_id):\n post = Post.query.get(post_id)\n return post.json\n\n@register('add_post')\ndef add_post(title,author_id,video_url,pic_small='',pic_big='',show=True,recommended=False):\n assert_error(type(title) == types.StringType,'ParamError')\n assert_error(type(author_id) == types.IntType,'ParamError')\n assert_error(type(video_url) == types.StringType,'ParamError')\n\n qd = {\n 'title':title,\n 'author_id':author_id,\n 'video_url':video_url,\n 'pic_small':pic_small,\n 'pic_big':pic_big,\n 'show':show,\n 'recommended':recommended,\n }\n try:\n p = Post(**qd)\n db.session.add(p)\n db.session.commit()\n except:\n db.session.rollback()\n raise BackendError('InternalError',traceback.format_exc())\n return p.json\n\n\n\n@register('set_post')\ndef set_post(post_id,pdict):\n fd_list = ('title','pic_small','pic_big','author_id','show',\n 'recommended','date_create','date_update','date_publish')\n cset = set(pdict.keys())\n if not cset.issubset(fd_list):\n raise BackendError('ParamError','更新的字段不允许')\n post = Post.query.get(post_id)\n for k,v in pdict.items():\n if v is not None:\n setattr(post,k,v)\n try:\n db.session.commit()\n except:\n db.session.rollback()\n raise \n\n return post.json\n\n\n@register('get_latest_post')\ndef get_latest_post(offset=0,limit=50):\n posts = Post.query.filter(Post.show == True).order_by(Post.date_create.desc()).\\\n limit(limit).offset(offset).all()\n\n _posts = []\n for p in posts:\n _u = p.user.json\n _p = p.json\n _p.update({'user':_u})\n _posts.append(_p)\n\n return _posts\n\n\n@register('get_post_count')\ndef get_post_count():\n count = Post.query.filter(Post.show == True).count()\n return count\n\n@register('get_hot_post')\ndef get_hot_post(offset=0,limit=50):\n posts = Post.query.filter(Post.show == True).order_by(Post.visite_count.desc()).\\\n limit(limit).offset(offset).all()\n\n _posts = []\n for p in posts:\n _u = p.user.json\n _p = p.json\n _p.update({'user':_u})\n _posts.append(_p)\n\n return _posts\n\n@register('get_user_post')\ndef get_user_post(user_id,offset=0,limit=20):\n assert_error(offset >= 0,'ParamError')\n posts = Post.query.filter(Post.author_id == user_id).\\\n order_by(Post.date_create.desc()).\\\n limit(limit).offset(offset).all()\n\n _posts = []\n for p in posts:\n _u = p.user.json\n _p = p.json\n _p.update({'user':_u})\n _posts.append(_p)\n\n return _posts\n\n@register('get_user_post_count')\ndef get_user_post_count(user_id):\n count = Post.query.filter(Post.author_id == user_id).count()\n return count\n\n\n@register('get_user_liked_post')\ndef get_user_liked_post(user_id,offset=0,limit=20):\n assert_error(offset >= 0,'ParamError')\n posts = Post.query.join(UserLikeAsso,Post.id == UserLikeAsso.post_id).\\\n filter(UserLikeAsso.user_id == user_id).\\\n order_by(UserLikeAsso.date_create.desc()).\\\n limit(limit).offset(offset).all()\n\n _posts = []\n for p in posts:\n _u = p.user.json\n _p = p.json\n _p.update({'user':_u})\n _posts.append(_p)\n\n return _posts\n\n@register('get_user_liked_post_count')\ndef get_user_liked_post_count(user_id):\n count = Post.query.join(UserLikeAsso,Post.id == UserLikeAsso.post_id).\\\n filter(UserLikeAsso.user_id == user_id).count()\n return count\n\n@register('get_post_liked_count')\ndef get_post_liked_count(post_id):\n count = UserLikeAsso.query.filter(UserLikeAsso.post_id == post_id).count()\n return count\n\n@register('add_like')\ndef add_like(user_id,post_id):\n ula = UserLikeAsso()\n ula.user_id = user_id\n ula.post_id = post_id\n try:\n db.session.add(ula)\n db.session.commit()\n except:\n db.session.rollback()\n raise BackendError('InternalError',traceback.format_exc())\n else:\n return ula.id\n\n@register('del_like')\ndef del_like(user_id,post_id):\n assert_error(all([type(x) == types.IntType for x in [user_id,post_id]]),\n 'ParamError')\n ula = UserLikeAsso.query.filter(UserLikeAsso.user_id == user_id).\\\n filter(UserLikeAsso.post_id == post_id).first()\n if ula is None:\n return\n try:\n db.session.delete(ula)\n db.session.commit()\n except:\n db.session.rollback()\n raise BackendError('InternalError',traceback.format_exc())\n else:\n return True\n\n\n@register('add_play')\ndef add_play(user_id,post_id):\n assert_error(all([type(x) for x in [user_id,post_id]]),'ParamError')\n ura = UserPlayAsso()\n ura.user_id = user_id\n ura.post_id = post_id\n\n try:\n db.session.add(ura)\n db.session.commit()\n except:\n db.session.rollback()\n raise BackendError('InternalError',traceback.format_exc())\n\n@register('add_play_count')\ndef add_play_count(post_id,count=1):\n post = Post.query.get(post_id)\n post.play_count += count\n try:\n db.session.commit()\n except:\n db.session.rollback()\n raise BackendError('InternalError',traceback.format_exc())\n else:\n return post.json\n\n@register('is_like_post')\ndef is_like_post(uid,post_id):\n if type(post_id) == types.IntType:\n _count = db.session.query(UserLikeAsso.id).\\\n filter(db.and_(UserLikeAsso.user_id == uid,\n UserLikeAsso.post_id == post_id)).count()\n return True if _count > 0 else False\n elif type(post_id) == types.ListType:\n liked_post_ids = db.session.query(UserLikeAsso.post_id).\\\n filter(db.and_(UserLikeAsso.user_id == uid,\n UserLikeAsso.post_id.in_(post_id))).all()\n liked_post_ids = [p[0] for p in liked_post_ids]\n ret_list = [(ret,ret in liked_post_ids) for ret in post_id]\n return dict(ret_list)\n\n"},{"alpha_fraction":0.6081504821777344,"alphanum_fraction":0.6394984126091003,"avg_line_length":18.8125,"blob_id":"0db275e96da3ac8c54639ff4dbeed880093ff5c0","content_id":"f976ff54840815adf8b95b417163236878d9e532","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":319,"license_type":"no_license","max_line_length":86,"num_lines":16,"path":"/worker.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n\nimport sys\nimport rq\nfrom rq import Queue,Connection,Worker\n\n\n# why this? it can use the sqlalchemy's connection poll from rq Performance notes \n# add by notedit 2013-01-24\n\nwith Connection():\n\n qs = map(rq.Queue, sys.argv[1:]) or [rq.Queue()]\n \n w = rq.Worker(qs)\n w.work()\n\n\n"},{"alpha_fraction":0.7176923155784607,"alphanum_fraction":0.7238461375236511,"avg_line_length":27.866666793823242,"blob_id":"9d86467a4dbb8d214aacba1fc541bfd58ee2d92c","content_id":"badb46345ec26df994d81477fb0f0f3078fc84f6","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1300,"license_type":"no_license","max_line_length":84,"num_lines":45,"path":"/motiky/configs.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n\nimport socket\nimport datetime\n\nfrom redis import Redis\nfrom rq import Connection,Queue\nfrom flask.ext.redis import Redis as fRedis\nfrom flask.ext.sqlalchemy import SQLAlchemy\nfrom flask.ext.cache import Cache\nfrom flask.ext.mail import Mail\n\ndb = SQLAlchemy()\ncache = Cache()\nmail = Mail()\nredis = fRedis()\nrq = Queue('motiky',connection=Redis())\n\nclass DefaultConfig(object):\n\n DEBUG = False\n SECRET_KEY = 'lifeistooshorttowait'\n APPLICATION_SECRET = 'lifeistooshorttowait'\n SQLALCHEMY_DATABASE_URI = 'postgresql+psycopg2://user:password@localhost/motiky'\n SQLALCHEMY_ECHO = False\n\nclass TestConfig(object):\n CONFIG_TYPE = 'test'\n SQLALCHEMY_DATABASE_URI = 'postgresql+psycopg2://user:password@localhost/test'\n SQLALCHEMY_ECHO = False\n APPLICATION_SECRET = 'lifeistooshorttowait'\n CSRF_ENABLED = False\n VIDEO_URL_PREFIX = 'http://localhost'\n\nclass DevConfig(object):\n CONFIG_TYPE = 'dev'\n SQLALCHEMY_DATABASE_URI = \\\n 'postgresql+psycopg2://user:password@localhost/motiky'\n\nclass ProductionConfig(object):\n CONFIG_TYPE = 'production'\n SQLALCHEMY_ECHO = False\n VIDEO_URL_PREFIX = 'http://motiky01.b0.upaiyun.com'\n SQLALCHEMY_DATABASE_URI = 'postgresql+psycopg2://user:password@localhost/motiky'\n DEBUG = True\n\n"},{"alpha_fraction":0.7770270109176636,"alphanum_fraction":0.7804054021835327,"avg_line_length":16.294116973876953,"blob_id":"63c63aa951b470390c442ad49eb0109f86d471e1","content_id":"868a9ff3fb6b7a2cb3c251e8d3aa72f2db4d633a","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":296,"license_type":"no_license","max_line_length":52,"num_lines":17,"path":"/motiky/logic/__init__.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n\nimport logic_user\nimport logic_post\nimport logic_action\nimport logic_activity\nimport logic_feed\nimport logic_tag\nimport logic_comment\nimport logic_other\n\n# import some other logic here\n\n\nfrom motiky import coreutil\n\nbackend = coreutil.Backend(coreutil.backend_mapping)\n\n\n"},{"alpha_fraction":0.6236559152603149,"alphanum_fraction":0.6344085931777954,"avg_line_length":14.166666984558105,"blob_id":"2104f689436bfe87e117ff3e92e3ae5b96655a5c","content_id":"27b8bfd15598f313d4fc0962ab6954faf730d01b","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":93,"license_type":"no_license","max_line_length":27,"num_lines":6,"path":"/motiky/helpers.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# author: notedit <notedit@gmail.com>\n\nimport functools\n\nfrom flask import g\n\n\n"},{"alpha_fraction":0.5972937941551208,"alphanum_fraction":0.6198453903198242,"avg_line_length":29.372549057006836,"blob_id":"a14d75e316111a7b69563931b908f42c3adddc44","content_id":"255f88554a507aac43e5f7d7b44d44af614292a4","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1552,"license_type":"no_license","max_line_length":87,"num_lines":51,"path":"/tests/test_tag.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n\n\nimport os\nimport sys\nimport types\nimport json\nimport time\nfrom datetime import datetime\nfrom datetime import timedelta\n\nfrom tests import TestCase\n\n\nfrom motiky.logic.models import User,Post,UserLikeAsso,Report,Install,\\\n UserFollowAsso,Comment,Activity,Action,Tag,Tagging\n\nfrom motiky.logic import backend\n\nfrom motiky.configs import db,redis\n\nclass TestTag(TestCase):\n\n\n def test_tag_view(self):\n tag1 = Tag(name='tag1',show=True,pic_url='pic_url',\n recommended=True)\n tag2 = Tag(name='tag2',show=True,pic_url='pic_url',\n recommended=True)\n db.session.add(tag1)\n db.session.add(tag2)\n db.session.commit()\n\n user1 = backend.add_user('username01','photo_url01','weibo_id01')\n post1 = backend.add_post('post01',user1['id'],\n 'video_url','pic_small1')\n post2 = backend.add_post('post02',user1['id'],\n 'video_url','pic_small2')\n tagging1 = Tagging(taggable_type='post',taggable_id=post1['id'],tag_id=tag1.id)\n tagging2 = Tagging(taggable_type='post',taggable_id=post2['id'],tag_id=tag1.id)\n\n headers = self.generate_header('weibo_id01')\n # get\n resp = self.client.get('/tag/%d'% tag1.id,headers=headers)\n data_get = json.loads(resp.data)\n assert data_get['tag']['name'] == 'tag1'\n\n # get tags \n resp = self.client.get('/tags',headers=headers)\n data_get = json.loads(resp.data)\n assert len(data_get['results']) == 2\n\n\n\n"},{"alpha_fraction":0.6004018187522888,"alphanum_fraction":0.6092841029167175,"avg_line_length":33.630035400390625,"blob_id":"d987aa5a5cb04fe4048ffbe31d9f8a39f3fc8b11","content_id":"8a92fc1229e9c9403bd73e928e1d6f4408e1d7b7","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":9457,"license_type":"no_license","max_line_length":82,"num_lines":273,"path":"/motiky/logic/models.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n\n\n# add your models here\nimport os\nimport uuid\nimport contextlib\nfrom datetime import datetime\n\nfrom flask import current_app\nfrom werkzeug import cached_property\nfrom sqlalchemy.dialects.postgresql import ARRAY,UUID\n\nfrom motiky.configs import db,DefaultConfig\n\nDATE_FMT = '%Y-%m-%d %H:%M:%S'\nDATE_DEFAULT = '2013-05-30 12:00:00'\n\ndef format_date(date):\n return date.strftime(DATE_FMT) if date else DATE_DEFAULT\n\nclass User(db.Model):\n\n __tablename__ = 'user_info' \n id = db.Column(db.Integer,primary_key=True)\n username = db.Column(db.String(50))\n email = db.Column(db.String(50),unique=True)\n photo_url = db.Column(db.String(100))\n signature = db.Column(db.String(255))\n status = db.Column(db.String(20))\n uid = db.Column(db.String(100),index=True,unique=True)\n push_on = db.Column(db.Boolean,default=True)\n access_token = db.Column(db.String(128))\n date_create = db.Column(db.DateTime,default=datetime.now)\n date_update = db.Column(db.DateTime,default=datetime.now)\n\n @cached_property\n def json(self):\n return dict(id=self.id,\n username=self.username,\n email=self.email,\n photo_url=self.photo_url,\n signature=self.signature,\n status=self.status,\n uid=str(self.uid),\n push_on=self.push_on,\n access_token=self.access_token,\n date_create=format_date(self.date_create),\n date_update=format_date(self.date_update))\n\n\nclass Post(db.Model):\n\n __tablename__ = 'post'\n id = db.Column(db.Integer,primary_key=True)\n title = db.Column(db.String(300))\n pic_small = db.Column(db.String(255))\n pic_big = db.Column(db.String(255))\n video_url = db.Column(db.String(255))\n author_id = db.Column(db.Integer,db.ForeignKey(User.id),index=True)\n show = db.Column(db.Boolean,default=True,index=True)\n recommended = db.Column(db.Boolean,default=False,index=True)\n play_count = db.Column(db.Integer,default=0)\n date_create = db.Column(db.DateTime,default=datetime.now)\n date_update = db.Column(db.DateTime,default=datetime.now)\n date_publish = db.Column(db.DateTime,default=datetime.now)\n user = db.relation(User, innerjoin=True, lazy=\"joined\")\n\n @cached_property\n def json(self):\n video_prefix = current_app.config.get('VIDEO_URL_PREFIX') if current_app \\\n else DefaultConfig.VIDEO_URL_PREFIX\n return dict(id=self.id,\n title=self.title,\n pic_big=self.pic_big,\n pic_small=os.path.join(video_prefix,self.pic_small or ''),\n video_url=os.path.join(video_prefix,self.video_url or ''),\n author_id=self.author_id,\n show=self.show,\n recommended=self.recommended,\n play_count=self.play_count,\n date_create=format_date(self.date_create),\n date_update=format_date(self.date_update),\n date_publish=format_date(self.date_publish))\n\n\nclass Report(db.Model):\n\n __tablename__ = 'report'\n id = db.Column(db.Integer,primary_key=True)\n user_id = db.Column(db.Integer,db.ForeignKey(User.id),index=True)\n post_id = db.Column(db.Integer,db.ForeignKey(Post.id),index=True)\n user = db.relation(User,innerjoin=True,lazy='joined')\n post = db.relation(Post,innerjoin=True,lazy='joined')\n date_create = db.Column(db.DateTime,default=datetime.now)\n\n\nclass Install(db.Model):\n\n __tablename__ = 'install'\n id = db.Column(db.Integer,primary_key=True)\n user_id = db.Column(db.Integer,db.ForeignKey(User.id),index=True,unique=True)\n version = db.Column(db.String(20))\n badge = db.Column(db.Integer,default=0)\n device_token = db.Column(db.String(100),index=True)\n device_type = db.Column(db.String(20))\n date_create = db.Column(db.DateTime,default=datetime.now)\n\n @property\n def json(self):\n return dict(id=self.id,\n user_id=self.user_id,\n version=self.version,\n badge=self.badge,\n device_token=self.device_token,\n device_type=self.device_type,\n date_create=format_date(self.date_create))\n\n\nclass UserFollowAsso(db.Model):\n\n __tablename__ = 'user_follow_asso'\n id = db.Column(db.Integer,primary_key=True)\n user_id = db.Column(db.Integer,db.ForeignKey(User.id),index=True)\n user_id_to = db.Column(db.Integer,db.ForeignKey(User.id),index=True)\n date_create = db.Column(db.DateTime,default=datetime.now)\n\n __table_args__ = (\n db.UniqueConstraint('user_id','user_id_to'),\n )\n\n\nclass UserLikeAsso(db.Model):\n \n __tablename__ = 'user_like_asso'\n id = db.Column(db.Integer,primary_key=True)\n user_id = db.Column(db.Integer,db.ForeignKey(User.id),index=True)\n post_id = db.Column(db.Integer,db.ForeignKey(Post.id),index=True)\n date_create = db.Column(db.DateTime,default=datetime.now)\n\n __table_args__ = (\n db.UniqueConstraint('user_id','post_id'),\n )\n\nclass UserPlayAsso(db.Model):\n\n __tablename__ = 'user_play_asso'\n id = db.Column(db.Integer,primary_key=True)\n user_id = db.Column(db.Integer)\n post_id = db.Column(db.Integer)\n date_create = db.Column(db.DateTime,default=datetime.now)\n\n\nclass Comment(db.Model):\n\n __tablename__ = 'comment'\n id = db.Column(db.Integer,primary_key=True)\n post_id = db.Column(db.Integer,index=True)\n author_id = db.Column(db.Integer,db.ForeignKey(User.id))\n content = db.Column(db.String(1000))\n show = db.Column(db.Boolean,default=True)\n date_create = db.Column(db.DateTime,default=datetime.now)\n\n @cached_property\n def json(self):\n return dict(id=self.id,\n post_id=self.post_id,\n author_id=self.author_id,\n content=self.content,\n show=self.show,\n date_create=format_date(self.date_create))\n\n\nclass Activity(db.Model):\n\n __tablename__ = 'activity'\n id = db.Column(db.Integer,primary_key=True)\n post_id = db.Column(db.Integer)\n comment_id = db.Column(db.Integer)\n from_id = db.Column(db.Integer)\n to_id = db.Column(db.Integer)\n atype = db.Column(db.String(20))\n # atype follow like comment post_reco text \n date_create = db.Column(db.DateTime,default=datetime.now)\n\n @cached_property\n def json(self):\n return dict(id=self.id,\n post_id=self.post_id,\n comment_id=self.comment_id,\n from_id=self.from_id,\n to_id=self.to_id,\n atype=self.atype,\n date_create=format_date(self.date_create))\n\n\nclass Action(db.Model):\n\n __tablename__ = 'action'\n id = db.Column(db.Integer,primary_key=True)\n post_id = db.Column(db.Integer)\n user_id = db.Column(db.Integer,index=True)\n atype = db.Column(db.String(20),index=True)\n payload = db.Column(db.String(255))\n date_create = db.Column(db.DateTime,default=datetime.now)\n\n @cached_property\n def json(self):\n return dict(id=self.id,\n post_id=self.post_id,\n user_id=self.user_id,\n atype=self.atype,\n payload=self.payload,\n date_create=format_date(self.date_create))\n\n\nclass Tag(db.Model):\n\n __tablename__ = 'tag'\n id = db.Column(db.Integer,primary_key=True)\n name = db.Column(db.String(255),index=True)\n show = db.Column(db.Boolean,default=True)\n pic_url = db.Column(db.String(255))\n order_seq = db.Column(db.Integer,default=0)\n recommended = db.Column(db.Boolean,default=False)\n date_create = db.Column(db.DateTime,default=datetime.now)\n \n @cached_property\n def json(self):\n return dict(id=self.id,\n name=self.name,\n show=self.show,\n pic_url=self.pic_url,\n order_seq=self.order_seq,\n recommended=self.recommended,\n date_create=format_date(self.date_create))\n\n\nclass Tagging(db.Model):\n\n __tablename__ = 'tagging'\n id = db.Column(db.Integer,primary_key=True)\n taggable_type = db.Column(db.String(20))\n taggable_id = db.Column(db.Integer)\n tag_id = db.Column(db.Integer)\n user_id = db.Column(db.Integer)\n date_create = db.Column(db.DateTime,default=datetime.now)\n\n @cached_property\n def json(self):\n return dict(id=self.id,\n taggable_type=self.taggable_type,\n taggalbe_id=self.taggable_id,\n tag_id=self.tag_id,\n user_id=self.user_id,\n date_create=format_date(self.date_create))\n\n\nclass Storage(db.Model):\n __tablename__ = 'storage'\n id = db.Column(UUID(),default=lambda:str(uuid.uuid4()),primary_key=True)\n file_md5 = db.Column(db.String(80))\n file_size = db.Column(db.Integer)\n date_create = db.Column(db.DateTime,default=datetime.now)\n\n\nclass CmsUser(db.Model):\n __tablename__ = 'cms_user'\n id = db.Column(db.Integer,primary_key=True)\n username = db.Column(db.String(50))\n email = db.Column(db.String(50))\n password = db.Column(db.String(80))\n date_create = db.Column(db.DateTime,default=datetime.now)\n\n\n\n"},{"alpha_fraction":0.48322147130966187,"alphanum_fraction":0.5402684807777405,"avg_line_length":22.84000015258789,"blob_id":"e0da33bb9642d0ac451f41ec560dc02edbfb9d5b","content_id":"f4aff616b7f2ab9bfcfad4ce6843a8ab5b4ceb5f","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Shell","length_bytes":596,"license_type":"no_license","max_line_length":88,"num_lines":25,"path":"/ctlapp.sh","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"#! /usr/bin/env bash\n\n# Author: liulianxiang <notedit@gmail.com>\n\n\nMAINMODULE=manage:app\n\ncase $1 in\n start)\n exec gunicorn -D -w 4 -k gevent -p /tmp/motiky.pid -b 127.0.0.1:9090 $MAINMODULE\n ;;\n stop)\n kill -INT `cat /tmp/motiky.pid`\n ;;\n restart)\n kill -INT `cat /tmp/motiky.pid`\n exec gunicorn -D -w 4 -k gevent -p /tmp/motiky.pid -b 127.0.0.1:9090 $MAINMODULE\n ;;\n debug)\n exec gunicorn -w 4 -p /tmp/motiky.pid -b 127.0.0.1:9090 $MAINMODULE\n ;;\n *)\n echo \"./ctlapp.sh start | stop | debug | debug\"\n ;;\nesac\n"},{"alpha_fraction":0.5481978058815002,"alphanum_fraction":0.5892707705497742,"avg_line_length":24.869565963745117,"blob_id":"b8e37b412fed8edd5ae4b9bb8fd2db03092468e6","content_id":"01f77c2b367a8825549b51fc917d565c41bfee83","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1207,"license_type":"no_license","max_line_length":94,"num_lines":46,"path":"/motiky/strutil.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n\nimport re\nimport os\nimport sys\nimport time\nimport datetime\nfrom email.utils import formatdate\n\ndef extract_tags(s):\n tags = re.findall(r'''#(\\w+)?#''',s)\n return set(tags) if tags else []\n\ndef read_data(_file):\n file_data = ''\n data = _file.read(8192)\n while data:\n file_data += data\n data = _file.read(8192)\n return file_data\n\ndef cookie_date(epoch_seconds=None):\n rfcdate = formatdate(epoch_seconds)\n return '%s-%s-%s GMT' % (rfcdate[:7], rfcdate[8:11], rfcdate[12:25])\n\ndef int2path(uint,baseurl,extname):\n \"\"\"将32bit正整数转换为path\"\"\"\n file_key = ''\n for i in range(6):\n uint,remainder = divmod(uint,36)\n if remainder < 10:\n file_key = chr(remainder+48) + file_key\n else:\n file_key = chr(remainder+97-10) + file_key\n fullurl = os.path.join(baseurl,file_key[0:2],file_key[2:4],file_key[4:6],file_key+extname)\n return fullurl\n\ndef int2ukey(uint):\n ukey = ''\n for i in range(6):\n uint,remainder = divmod(uint,36)\n if remainder < 10:\n ukey = chr(remainder+48) + ukey\n else:\n ukey = chr(remainder+97-10) + ukey\n return ukey\n\n\n\n"},{"alpha_fraction":0.6337719559669495,"alphanum_fraction":0.640350878238678,"avg_line_length":27.046154022216797,"blob_id":"607432e94a05538b489f9e4dfdc818a2e034d15c","content_id":"073b75da79b53e772ecea4964c4c4d78c43f9572","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1824,"license_type":"no_license","max_line_length":70,"num_lines":65,"path":"/motiky/logic/logic_other.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# author: notedit\n# date: 2013-02-01\n\nimport types\nimport traceback\n\nfrom motiky.coreutil import BackendError,register,assert_error\n\nfrom motiky.logic.models import User,Post,Install,Storage\n\nfrom motiky.configs import db\n\n\n@register('get_install_by_user')\ndef get_install_by_user(user_id):\n _in = Install.query.filter(Install.user_id == user_id).first()\n if _in is None:\n raise BackendError('EmptyError','install do not exit')\n return _in.json\n\n@register('new_install')\ndef new_insall(user_id,device_token,version='',device_type=''):\n assert_error(type(user_id) == types.IntType,'ParamError')\n assert_error(type(device_token) == types.StringType,'ParamError')\n \n install = Install(user_id=user_id,\n device_token=device_token,\n version=version,\n device_type=device_type)\n\n try:\n db.session.add(install)\n db.session.commit()\n except:\n db.session.rollback()\n raise\n return install.json\n\n@register('set_install')\ndef set_install(user_id,idict):\n install = Install.query.filter(Install.user_id == user_id).first()\n if install is None:\n raise BackendError('EmptyError','install does not exist')\n for k,v in idict.items():\n if v:\n setattr(install,k,v)\n try:\n db.session.commit()\n except:\n db.session.rollback()\n raise BackendError('InternalError',traceback.format_exc())\n else:\n return install.json\n\n@register('add_file_data')\ndef add_file_data(file_size,file_md5):\n st = Storage(file_size=file_size,file_md5=file_md5)\n try:\n db.session.add(st)\n db.session.commit()\n except:\n db.session.rollback()\n raise BackendError('InternalError',traceback.format_exc())\n return st.id\n\n"},{"alpha_fraction":0.6742061972618103,"alphanum_fraction":0.6776859760284424,"avg_line_length":23.978260040283203,"blob_id":"fb282654745a7e94459162f77ae1bab2775839d0","content_id":"50eb5b66074eae82f0c0c8a457b8d21d7073235b","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2299,"license_type":"no_license","max_line_length":84,"num_lines":92,"path":"/motiky/application.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n\n\nimport os\nimport logging\nimport hmac\n\nfrom flask import g\nfrom flask import Flask\nfrom flask import request\nfrom flask import make_response\nfrom flask import session\n\nfrom motiky import configs\nfrom motiky.configs import db,cache,mail,redis\n\nfrom motiky import logic\nfrom motiky import authutil\nfrom motiky.logic import backend\nfrom motiky.coreutil import BackendError\n\nfrom motiky.views import user,post,tag,feed,\\\n activity,comment\n\n# add some other view\n\n__all__ = ['create_app']\n\n\nDEFAULT_APP_NAME = 'motiky'\n\n\ndef create_app(config=None,app_name=None):\n \n if app_name is None:\n app_name = DEFAULT_APP_NAME\n \n app = Flask(app_name)\n\n configure_app(app,config)\n configure_db(app)\n configure_blueprints(app)\n configure_cache(app)\n configure_handler(app)\n return app\n\ndef configure_app(app,config):\n app.config.from_object(configs.DefaultConfig())\n\n if config is not None:\n app.config.from_object(config)\n\n app.config.from_envvar('APP_CONFIG',silent=True)\n\ndef configure_db(app):\n db.init_app(app)\n\ndef configure_cache(app):\n redis.init_app(app)\n\ndef configure_handler(app):\n\n @app.before_request\n def authorize():\n print request.headers\n if request.path.startswith('/admin'):\n return\n\n token = request.headers.get('X-MOTIKY-TOKEN') or ''\n tokens = token.split('|')\n if len(tokens) != 3:\n print 'unvalid request'\n response = make_response('unvalid request',403)\n return response\n\n ukey,_time,signature = tokens\n print ukey,_time,signature\n sign = hmac.new(app.config.get('APPLICATION_SECRET'),ukey+_time).hexdigest()\n if sign != signature:\n print 'sian != signature unvalid request'\n response = make_response('unvalid request',403)\n return response\n g.ukey = ukey\n\n\ndef configure_blueprints(app):\n app.register_blueprint(user.instance,url_prefix=None)\n app.register_blueprint(post.instance,url_prefix=None)\n app.register_blueprint(tag.instance,url_prefix=None)\n app.register_blueprint(feed.instance,url_prefix=None)\n app.register_blueprint(comment.instance,url_prefix=None)\n app.register_blueprint(activity.instance,url_prefix=None)\n\n"},{"alpha_fraction":0.5593220591545105,"alphanum_fraction":0.564769983291626,"avg_line_length":25.206348419189453,"blob_id":"0f4d6b8fbed035b4f9bfb485b11066a3cac35fc9","content_id":"e6f3b2150aaa609d766e2064dac5dbf384503ac0","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1702,"license_type":"no_license","max_line_length":74,"num_lines":63,"path":"/motiky/authutil.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n\nimport os\nimport sys\nimport time\nimport hmac\nimport datetime\nimport hashlib\nfrom hashlib import sha1,md5\n\nimport strutil\n\nfrom flask import g,request,redirect,session\nfrom flask import current_app as app\n\nfrom motiky.configs import db,redis\nfrom motiky.logic.models import User\n\ndef user_required(f):\n \"\"\"必须登陆后才能访问的视图\"\"\"\n def decorator(*args,**kwargs):\n ukey = g.ukey\n if not ukey:\n return make_response('need a user',403)\n rp = redis.pipeline()\n rp.exists('USER-UKEY::%s'%ukey)\n rp.get('USER-UKEY::%s'%ukey)\n res = iter(rp.execute())\n \n if not res.next():\n # redis 中不存在 插数据库\n user = db.session.query(User).filter(User.uid == ukey).first()\n if user is None:\n res = make_response('the user does not exist',403)\n return res\n g.user_id = user.id\n rp.set('USER-UKEY::%s'%ukey,user.id)\n rp.execute()\n else:\n g.user_id = int(res.next())\n return f(*args,**kwargs)\n return decorator\n\ndef get_user_id(ukey):\n \"\"\"根据ukey来获取user_id\"\"\"\n if not ukey:\n return None\n rp = redis.pipeline()\n rp.exists('USER-UKEY::%s'%ukey)\n rp.get('USER-UKEY::%s'%ukey)\n res = iter(rp.execute())\n\n user_id = None\n if not res.next():\n user = db.session.query(User).filter(User.uid == ukey).first()\n if user is None:\n return None\n g.user_id = user_id = user.id\n rp.set('USER-UKEY::%s'%ukey,user.id)\n rp.execute()\n else:\n g.user_id = user_id = int(res.next())\n return user_id\n\n"},{"alpha_fraction":0.7145413756370544,"alphanum_fraction":0.7185682058334351,"avg_line_length":30.899999618530273,"blob_id":"16c684214b02cf6b781ebd363234451f7d4b3407","content_id":"852cb43aab5a3278d60d68d46c9d75b05a9e42d5","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2235,"license_type":"no_license","max_line_length":67,"num_lines":70,"path":"/motiky/schema.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n\n# the schema for motiky's api\n\nimport colander\nfrom datetime import datetime\nfrom colander import SchemaNode,MappingSchema,SequenceSchema\nfrom colander import Int,Date,String,Bool,DateTime\nfrom colander import Range,Length\n\nclass IdListSchema(SequenceSchema):\n id = SchemaNode(Int(),validator=Range(min=1))\n\nclass StrListSchema(SequenceSchema):\n _str = SchemaNode(String())\n\nclass LimitOffsetSchema(MappingSchema):\n offset = SchemaNode(Int())\n limit = SchemaNode(Int())\n\nclass NewUserSchema(MappingSchema):\n uid = SchemaNode(String())\n access_token = SchemaNode(String(),missing=u'')\n\nclass UpdateUserSchema(MappingSchema):\n username = SchemaNode(String(encoding='utf-8'),missing=None)\n photo_url = SchemaNode(String(encoding='utf-8'),missing=None)\n signature = SchemaNode(String(encoding='utf-8'),missing=None)\n access_token = SchemaNode(String(encoding='utf-8'),missing=u'')\n status = SchemaNode(String(encoding='utf-8'),missing=None)\n date_update = SchemaNode(DateTime(),missing=None)\n\nclass UserFollowSchema(MappingSchema):\n user_ids = IdListSchema()\n\nclass InstallSchema(MappingSchema):\n device_type = SchemaNode(String())\n device_token = SchemaNode(String())\n version = SchemaNode(String())\n user_id = SchemaNode(Int())\n\n\nclass PushSchema(MappingSchema):\n user_id = SchemaNode(Int())\n install_id = SchemaNode(String())\n action = SchemaNode(String())\n \nclass NewPostSchema(MappingSchema):\n title = SchemaNode(String(),missing=None)\n author_id = SchemaNode(Int())\n #tag_id = SchemaNode(Int(),missing=None)\n\nclass UpdatePostSchema(MappingSchema):\n title = SchemaNode(String(encoding='utf-8'),missing=None)\n author_id = SchemaNode(Int(),missing=None)\n pic_small = SchemaNode(String(encoding='utf-8'),missing=None)\n date_update = SchemaNode(DateTime(),missing=datetime.now())\n\nclass NewCommentSchema(MappingSchema):\n post_id = SchemaNode(Int())\n author_id = SchemaNode(Int())\n content = SchemaNode(String())\n\nclass PostLikeSchema(MappingSchema):\n user_id = SchemaNode(Int())\n post_id = SchemaNode(Int())\n\nclass PostUnlikeSchema(MappingSchema):\n user_id = SchemaNode(Int())\n post_id = SchemaNode(Int())\n\n\n"},{"alpha_fraction":0.6540540456771851,"alphanum_fraction":0.6702702641487122,"avg_line_length":18.034482955932617,"blob_id":"6582964f86e55d3942b8e1f94492da53391b38f2","content_id":"12c61cd37b00c6f61f2e75cc7dc1e6a037fa5441","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":555,"license_type":"no_license","max_line_length":66,"num_lines":29,"path":"/motiky/logic/logic_action.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# author: notedit\n# date: 2013-01-30\n\nimport types\nimport traceback\n\nfrom motiky.coreutil import BackendError,register,assert_error\n\nfrom motiky.logic.models import User,Post,Action\n\nfrom motiky.configs import db\n\n\n\n@register('add_action')\ndef add_action(ainfo={}):\n action = Action(**ainfo)\n try:\n db.session.add(action)\n db.session.commit()\n except:\n db.session.rollback()\n raise BackendError('InternalError',traceback.format_exc())\n else:\n return action.json\n\n\n# add some other\n\n\n\n"},{"alpha_fraction":0.5522071123123169,"alphanum_fraction":0.5645161271095276,"avg_line_length":29.545454025268555,"blob_id":"0c8967172f0dc89cde3a49a2a3843e28ebd1843b","content_id":"ade8c0f483e16b1921b29bbb00b075f588d8558a","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2356,"license_type":"no_license","max_line_length":80,"num_lines":77,"path":"/tests/test_user.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n\n\nimport os\nimport sys\nimport types\nimport json\nimport time\nfrom datetime import datetime\nfrom datetime import timedelta\n\nfrom tests import TestCase\n\n\nfrom motiky.logic.models import User,Post,UserLikeAsso,Report,Install,\\\n UserFollowAsso,Comment,Activity,Action\n\nfrom motiky.logic import backend\n\nfrom motiky.configs import db,redis\n\nclass TestUser(TestCase):\n\n\n def test_user_view(self):\n \n # post\n headers = self.generate_header('weibo_id1')\n data = {'uid':'weibo_id1',\n 'access_token':'1111111111'}\n resp = self.client.post('/user',data=json.dumps(data),\n headers=headers,content_type='application/json')\n print resp.data\n _data = json.loads(resp.data)\n assert resp.status_code == 200\n assert _data['uid'] == 'weibo_id1'\n assert _data['access_token'] == '1111111111'\n\n # get\n resp = self.client.get('/user/%d'%_data['id'],headers=headers)\n data_get = json.loads(resp.data)\n assert data_get['uid'] == 'weibo_id1'\n\n # put\n put_in = {'photo_url':'put_url','date_upate':str(datetime.now())}\n resp = self.client.put('/user/%d'%_data['id'],\n data=json.dumps(put_in),headers=headers,\n content_type='application/json')\n print resp.data\n assert resp.status_code == 204\n\n def test_install(self):\n user1 = backend.add_user('username01','photo_url01','weibo_id01')\n device_token = 'device_token'\n \n headers = self.generate_header('weibo_id01')\n \n data = {\n 'device_type':'ios',\n 'device_token':device_token,\n 'version':'1.1.10',\n 'user_id':user1['id']\n }\n\n resp = self.client.post('/install',data=json.dumps(data),\n headers=headers,content_type='application/json')\n\n _data = json.loads(resp.data)\n install_id = _data['install_id']\n \n install = Install.query.filter(Install.user_id == user1['id']).first()\n assert install is not None\n assert install.device_token.encode('utf-8') == device_token\n\n def test_user_follow(self):\n headers = self.generate_header('weibo_id01')\n pass\n\n\n\n\n"},{"alpha_fraction":0.6410356760025024,"alphanum_fraction":0.6488819122314453,"avg_line_length":30.432098388671875,"blob_id":"4b054b747c1d2780e2ea88f07703f164e309d34e","content_id":"c9efead97232e771d7e60a599e4d75f6242ad2bd","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2565,"license_type":"no_license","max_line_length":74,"num_lines":81,"path":"/motiky/logic/logic_comment.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# author: notedit\n# date: 2013-04-15\n\nimport types\nimport traceback\n\n\nfrom motiky.coreutil import BackendError,register,assert_error\n\nfrom motiky.logic.models import User,Post,Comment\n\nfrom motiky.configs import db,redis\n\n\n@register('add_comment')\ndef add_comment(post_id,content,author_id):\n assert_error(type(post_id) == types.IntType,'ParamError')\n assert_error(type(author_id) == types.IntType,'ParamError')\n assert_error(type(content) == types.StringType,'ParamError')\n\n qd = {\n 'post_id':post_id,\n 'content':content,\n 'author_id':author_id\n }\n co = Comment(**qd)\n try:\n db.session.add(co)\n db.session.commit()\n except:\n db.session.rollback()\n raise BackendError('InternalError',traceback.format_exc())\n return co.json\n\n@register('set_comment')\ndef set_comment(comment_id,dinfo):\n keys_set = ('post_id','author_id','content','show','date_create')\n if not set(dinfo.keys()).issubset(keys_set):\n raise BackendError('ParamError','更新的字段不允许')\n comment = Comment.query.get(comment_id)\n for key,value in dinfo.items():\n if value is not None:\n setattr(comment,key,value)\n try:\n db.session.commit()\n except Exception,ex:\n db.session.rollback()\n raise BackendError('InternalError',traceback.format_exc())\n return comment.json\n\n@register('get_comment')\ndef get_comment(comment_id):\n assert_error(type(comment_id) == types.IntType,'ParamError')\n comm = Comment.query.get(comment_id)\n return comm.json\n\n@register('get_post_comment')\ndef get_post_comment(post_id,limit=50,offset=0,show=True):\n assert_error(type(post_id) == types.IntType,'ParamError')\n _ans = [Comment.show == True,] if show else []\n _ans.append(Comment.post_id == post_id)\n q = reduce(db.and_,_ans)\n comms = Comment.query.filter(q).order_by(Comment.date_create.desc()).\\\n limit(limit).offset(offset).all()\n return [c.json for c in comms]\n\n@register('get_post_comment_count')\ndef get_post_comment_count(post_id,show=True):\n _ans = [Comment.show == True,] if show else []\n _ans.append(Comment.post_id == post_id)\n q = reduce(db.and_,_ans)\n count = Comment.query.filter(q).count()\n return count\n\n@register('add_comment_count')\ndef add_comment_count(post_id,step=1):\n count_key = 'POST::COMMENT_COUNT::%s' % str(post_id)\n if redis.exists(count_key):\n rp = redis.pipeline()\n rp.incr(count_key).expire(count_key,24*5*3600).execute()\n\n\n\n"},{"alpha_fraction":0.6944212913513184,"alphanum_fraction":0.6952539682388306,"avg_line_length":22.54901885986328,"blob_id":"1cc06a6d4e0ae030592cc09ec3fd3c86293761dd","content_id":"a5e2d1bb8c3067c43109a8e0d71832bb0bf57027","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1201,"license_type":"no_license","max_line_length":70,"num_lines":51,"path":"/motiky/views/push.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n\n# author: notedit <notedit@gmail.com>\n\nimport sys \nimport time\nimport logging\n\nimport flask\nfrom flask import g\nfrom flask import request\nfrom flask import redirect\nfrom flask import Response\nfrom flask import current_app\nfrom flask import session\nfrom flask import jsonify\nfrom flask import flash\nfrom flask.views import MethodView\nfrom flask.views import View\n\nfrom missing import authutil\nfrom missing.site import instance\nfrom missing.logic import backend\nfrom missing.coreutil import BackendError\nfrom missing.configs import redis,rq\n\ninstance = Blueprint('push',__name__)\n\n\n@instance.route('/push',methods=('POST',))\ndef push():\n \"\"\"\n user_id:int\n data:{\n 'alert':str,\n 'sound':str,\n 'custom':dict\n }\n https://github.com/simonwhitaker/PyAPNs\n \"\"\"\n if not request.json:\n return jsonify(error='content-type should be json')\n if not set(['user_id','data']).issubset(set(request.json.keys())):\n return jsonify(error='params error')\n\n user_id = request.json['user_id']\n data = request.json['data']\n\n rq.enqueue('onepiece.worker.apns_push',user_id=user_id,data=data)\n \n return jsonify(ok='push is in the queue')\n"},{"alpha_fraction":0.6025130152702332,"alphanum_fraction":0.6068035364151001,"avg_line_length":29.212963104248047,"blob_id":"cd420b550f13c87e00541a6e309e58813656cf0d","content_id":"dbbfd181298e6aa4e63fe724ba3bf536c733ded8","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":3263,"license_type":"no_license","max_line_length":107,"num_lines":108,"path":"/motiky/logic/logic_feed.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# author: notedit\n# date: 2013-04-10\n\nimport os\nimport types\nimport traceback\nfrom datetime import datetime\n\nfrom flask import current_app\n\nfrom motiky.coreutil import BackendError,register,assert_error\n\nfrom motiky.logic.models import User,Post,Tag,Activity,UserFollowAsso\n\nfrom motiky.configs import db,DefaultConfig\n\n\nNEW_FEED_SQL = \"\"\"\n SELECT id FROM answer WHERE show=true AND date_create > %(last_update_time)s \n AND (%(following_limit)s) LIMIT 1\n \"\"\"\n\nGET_LATEST_FEED_SQL = \"\"\"\n SELECT id,title,pic_small,pic_big,video_url,author_id,show,recommended,play_count,\n date_create,date_update,date_publish FROM post WHERE date_create < %(now)s AND show=true \n AND (%(following_limit)s) ORDER BY date_create DESC \n LIMIT %(limit)s OFFSET %(offset)s\n \"\"\"\n \nVALUE_LIST = ['id','title','pic_small','pic_big','video_url','author_id',\n 'show','recommended','play_count','date_create','date_update',\n 'date_publish']\n\ndef _get_following_user(user_id):\n fu = UserFollowAsso.query.filter(UserFollowAsso.user_id == user_id).all()\n if fu:\n fuids = [u.user_id_to for u in fu if u]\n else:\n fuids = []\n return fuids\n\n@register('get_new_feed')\ndef get_new_feed(user_id,last_update_time):\n\n fus = _get_following_user(user_id)\n fus.extend([user_id])\n fus = set(fus)\n\n following_limit = []\n if fus:\n following_limit.append('author_id IN (%s)' % ','.join([repr(uid) for uid in fus]))\n else:\n following_limit.append('1=1')\n\n following_limit.append('recommended = true')\n\n following_limit = ' OR '.join(following_limit)\n\n sql = NEW_FEED_SQL % {'following_limit':following_limit,'last_update_time':repr(str(last_update_time))}\n\n res = db.session.execute(sql).fetchall()\n return True if len(res) else False\n\n@register('get_latest_feed')\ndef get_latest_feed(user_id,limit,offset):\n \n qd = {\n 'limit':repr(limit),\n 'offset':repr(offset)\n }\n \n fus = _get_following_user(user_id)\n fus.extend([user_id])\n fus = set(fus)\n \n following_limit = []\n if fus:\n following_limit.append('author_id IN (%s)' % ','.join([repr(uid) for uid in fus]))\n else:\n following_limit.append('1=1')\n\n following_limit.append('recommended = true')\n\n following_limit = ' OR '.join(following_limit)\n\n _now = repr(str(datetime.now()))\n\n qd.update({'following_limit':following_limit,'now':_now})\n sql = GET_LATEST_FEED_SQL % qd\n\n print sql\n\n video_url_prefix = '/' if not current_app else current_app.config.get('VIDEO_URL_PREFIX')\n\n res = db.session.execute(sql).fetchall()\n ress = []\n for re in res:\n _dict = dict(zip(VALUE_LIST,re))\n _dict.update({\n 'date_create':_dict['date_create'].strftime('%Y-%m-%d %H:%M:%S'),\n 'date_update':_dict['date_update'].strftime('%Y-%m-%d %H:%M:%S'),\n 'date_publish':_dict['date_publish'].strftime('%Y-%m-%d %H:%M:%S'),\n 'video_url':os.path.join(video_url_prefix,_dict['video_url'] or ''),\n 'pic_small':os.path.join(video_url_prefix,_dict['pic_small'] or ''),\n })\n ress.append(_dict)\n return ress\n"},{"alpha_fraction":0.61654132604599,"alphanum_fraction":0.6224772334098816,"avg_line_length":29.08333396911621,"blob_id":"44f932b695c2ea359ea8d368798291523348f26a","content_id":"6db7b73c2c8a1c0edbff044f972226070a250268","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2527,"license_type":"no_license","max_line_length":97,"num_lines":84,"path":"/motiky/views/feed.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# author: notedit <notedit@gmail.com>\n# date: 2013-04-10\n\nimport sys \nimport time\nimport logging\nimport flask\nfrom flask import g\nfrom flask import request\nfrom flask import Blueprint\nfrom flask import redirect\nfrom flask import Response\nfrom flask import current_app\nfrom flask import session\nfrom flask import jsonify\nfrom flask import flash\nfrom flask.views import MethodView\nfrom flask.views import View\n\nfrom motiky import authutil\nfrom motiky.logic import backend\nfrom motiky.coreutil import BackendError\nfrom motiky.configs import redis\n\ninstance = Blueprint('feed',__name__)\n\nFEED_UPDATE_TIME_KEY = 'FEED::UPDATETIME::%(user_id)s'\n\ndef pipe_load(feeds):\n # todo some pipe load\n feeds_ret = []\n for po in feeds:\n try:\n user = backend.get_user(po['author_id'])\n po['user'] = user\n po['like_count'] = backend.get_post_liked_count(po['id'])\n po['comment_count'] = backend.get_post_comment_count(po['id']) \n except BackendError,ex:\n continue\n return feeds\n\nclass NewFeedView(MethodView):\n\n def get(self,user_id):\n feed_time_meta = redis.hgetall(FEED_UPDATE_TIME_KEY % {'user_id':user_id})\n try:\n last_update_time = int(feed_time_meta.get('last_update_time'))\n except:\n last_update_time = int(time.time())\n\n last_update_time = datetime.fromtimestamp(last_update_time)\n res = backend.get_new_feed(user_id,last_update_time)\n return jsonify(has_new=res)\n\nclass FeedsView(MethodView):\n\n def get(self,user_id):\n try:\n page = int(request.values.get('page'))\n except:\n page = 1\n\n limit = 10\n offset = (page-1) * limit\n \n feeds = backend.get_latest_feed(user_id,limit,offset)\n\n if len(feeds) > 0:\n feeds = pipe_load(feeds) \n \n curr_user = backend.get_user_by_uid(g.ukey)\n liked_post_ids = [p['id'] for p in feeds]\n liked_dict = backend.is_like_post(curr_user['id'],liked_post_ids)\n for up in feeds:\n up['is_like'] = liked_dict.get(up['id']) or False\n\n if page == 1:\n redis.hset(FEED_UPDATE_TIME_KEY % {'user_id':user_id},\n 'last_update_time',int(time.time()))\n return jsonify(results=feeds,page=page)\n\ninstance.add_url_rule('/feeds/<int:user_id>',view_func=FeedsView.as_view('feed'))\ninstance.add_url_rule('/feeds/notify/<int:user_id>',view_func=NewFeedView.as_view('feed_notify'))\n"},{"alpha_fraction":0.5175958871841431,"alphanum_fraction":0.5385527610778809,"avg_line_length":30.4375,"blob_id":"c320b55fb95b685f767a0b8df0a04c7c700710bf","content_id":"f00214384ad8169ab6d856658b0891432668659b","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2529,"license_type":"no_license","max_line_length":81,"num_lines":80,"path":"/tests/test_activity.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n\nimport os\nimport sys\nimport types\nimport json\nimport time\nfrom datetime import datetime\nfrom datetime import timedelta\n\nfrom StringIO import StringIO\n\nfrom tests import TestCase\n\n\nfrom motiky.logic.models import User,Post,UserLikeAsso,Report,Install,\\\n UserFollowAsso,Comment,Activity,Action\n\nfrom motiky.logic import backend\n\nfrom motiky.configs import db,redis\n\nclass TestActivity(TestCase):\n\n\n def test_user_activity_view(self):\n\n # get\n user1 = backend.add_user('username1','photo_url','weibo_id1')\n user2 = backend.add_user('username2','photo_url','weibo_id2')\n post1 = backend.add_post('title1',user1['id'],'video_url',\n pic_small='pic_small')\n post2 = backend.add_post('title2',user1['id'],'video_url',\n pic_small='pic_small')\n \n comment1 = backend.add_comment(post1['id'],'comment1',user1['id'])\n\n ac1 = {\n 'post_id':post1['id'],\n 'from_id':user1['id'],\n 'to_id':user2['id'],\n 'atype':'like'\n }\n ac2 = {\n 'post_id':post1['id'],\n 'from_id':user1['id'],\n 'comment_id':comment1['id'],\n 'to_id':user2['id'],\n 'atype':'comment'\n }\n\n\n ret = backend.add_activity(ac1)\n ret = backend.add_activity(ac2)\n backend.new_install(user2['id'],'device_token')\n\n headers = self.generate_header('weibo_id2')\n resp = self.client.get('/user/%d/activity' % user2['id'],headers=headers)\n _data = json.loads(resp.data)\n assert resp.status_code == 200\n assert len(_data['results']) == 2\n\n redis.flushall()\n redis.hset('ACTIVITY::UPDATETIME::%(user_id)s' % {'user_id':user2['id']},\n 'last_update_time',int(time.time() - 3600 * 6))\n\n resp = self.client.get('/user/%d/activity/count' % user2['id'],\n headers=headers)\n _data = json.loads(resp.data)\n assert resp.status_code == 200\n assert _data['count'] == 2\n\n redis.hset('ACTIVITY::UPDATETIME::%(user_id)s' % {'user_id':user2['id']},\n 'last_update_time',int(time.time()) + 2)\n\n resp = self.client.get('/user/%d/activity/count' % user2['id'],\n headers=headers)\n _data = json.loads(resp.data)\n assert resp.status_code == 200\n assert _data['count'] == 0\n\n\n\n\n \n\n"},{"alpha_fraction":0.6745964288711548,"alphanum_fraction":0.6847918629646301,"avg_line_length":29.894737243652344,"blob_id":"4a4c053ca322cc3285b3c242f963c03187219526","content_id":"f0df987921002baef0ca6b3708412b39f06330bf","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1177,"license_type":"no_license","max_line_length":85,"num_lines":38,"path":"/motiky/logic/logic_activity.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# author: notedit\n# date: 2013-04-10\n\nimport types\nimport traceback\n\nfrom motiky.coreutil import BackendError,register,assert_error\n\nfrom motiky.logic.models import User,Post,Tag,Activity\n\nfrom motiky.configs import db\n\n@register('add_activity')\ndef add_activity(ainfo):\n act = Activity(**ainfo)\n try:\n db.session.add(act)\n db.session.commit()\n except:\n db.session.rollback()\n raise BackendError('InternalError',traceback.format_exc())\n else:\n return act.json\n\n@register('get_new_activity_count')\ndef get_new_activity_count(user_id,last_update_time):\n assert_error(type(user_id) == types.IntType,'ParamError')\n count = Activity.query.filter(Activity.to_id == user_id).\\\n filter(Activity.date_create > last_update_time).count()\n return count\n\n@register('get_activity_by_user')\ndef get_activity_by_user(user_id,limit=30,offset=0):\n assert_error(type(user_id) == types.IntType,'ParamError')\n activitys = Activity.query.filter(Activity.to_id == user_id).\\\n order_by(db.desc(Activity.date_create)).limit(limit).offset(offset).all()\n return [a.json for a in activitys]\n\n\n\n"},{"alpha_fraction":0.5830469727516174,"alphanum_fraction":0.6231386065483093,"avg_line_length":29.59649085998535,"blob_id":"6b5ffc97aae9e3447c3d86e692b3131b1d2610af","content_id":"7d7de02d8510eb50fbf7498063850e99d4131fd1","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1746,"license_type":"no_license","max_line_length":74,"num_lines":57,"path":"/tests/test_feed.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n\n\nimport os\nimport sys\nimport types\nimport json\nimport time\nfrom datetime import datetime\nfrom datetime import timedelta\n\nfrom StringIO import StringIO\n\nfrom tests import TestCase\n\n\nfrom motiky.logic.models import User,Post,UserLikeAsso,Report,Install,\\\n UserFollowAsso,Comment,Activity,Action\n\nfrom motiky.logic import backend\n\nfrom motiky.configs import db,redis\n\nclass TestFeed(TestCase):\n\n\n def test_feeds_view(self):\n user1 = backend.add_user('username01','photo_url01','weibo_id01')\n user2 = backend.add_user('username02','photo_url02','weibo_id02')\n user3 = backend.add_user('username03','photo_url03','weibo_id03') \n user4 = backend.add_user('username04','photo_url04','weibo_id04')\n\n post1 = backend.add_post('title01',user1['id'],'video_url01',\n pic_small='pic_small01')\n post2 = backend.add_post('title02',user2['id'],'video_url02',\n pic_small='pic_small')\n post3 = backend.add_post('title03',user3['id'],'video_url03',\n pic_small='pic_small03')\n post4 = backend.add_post('title04',user4['id'],'video_url04',\n pic_small='pic_small04')\n\n backend.follow_user(user4['id'],user1['id'])\n backend.follow_user(user4['id'],user2['id'])\n\n headers = self.generate_header('weibo_id04')\n\n resp = self.client.get('/feeds/%d' % user4['id'],headers=headers)\n ret = json.loads(resp.data)\n assert len(ret['results']) == 3\n\n\n backend.set_post(post3['id'],{'recommended':True})\n\n resp = self.client.get('/feeds/%d'% user4['id'],headers=headers)\n ret = json.loads(resp.data)\n\n assert len(ret['results']) == 4\n\n\n"},{"alpha_fraction":0.7209302186965942,"alphanum_fraction":0.7209302186965942,"avg_line_length":42,"blob_id":"5749c024e75be9302b489d880b730ee6ffad5bb2","content_id":"91ef97cc6cb7aa8adaa2246a7a60e44764e65092","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Shell","length_bytes":86,"license_type":"no_license","max_line_length":67,"num_lines":2,"path":"/scripts/sync.sh","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"#!/usr/bin/env sh\nrsync -ravz --exclude=.hg wwwuser@host:/data/backups /data/backups\n"},{"alpha_fraction":0.5908882021903992,"alphanum_fraction":0.6115968823432922,"avg_line_length":26.468355178833008,"blob_id":"51b39ec8011999f62d22128c338eab9f318b9036","content_id":"11a485c04eac47f7a7c9f69a0269c5c2584aca74","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2211,"license_type":"no_license","max_line_length":69,"num_lines":79,"path":"/motiky/logic/logic_tag.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# author: notedit\n# date: 2013-04-10\n\nimport types\nimport traceback\n\nfrom motiky.coreutil import BackendError,register,assert_error\n\nfrom motiky.logic.models import User,Post,Tag,Tagging\n\nfrom motiky.configs import db\n\n# 99999999 编辑推荐\n# 99999998 热门\n# 这里应该排除推荐推荐和热门\n@register('get_all_tags')\ndef get_all_tags():\n tags = Tag.query.filter(Tag.show == True).\\\n filter(db.not_(Tag.id.in_([99999999,99999998]))).\\\n order_by(Tag.order_seq.desc()).all()\n return [tag.json for tag in tags]\n\n@register('get_recommend_tags')\ndef get_recommend_tags():\n tags = Tag.query.filter(Tag.show == True).\\\n filter(Tag.recommended == True).\\\n order_by(Tag.order_seq.desc()).all()\n return [tag.json for tag in tags]\n\n@register('get_tag')\ndef get_tag(tag_id):\n assert_error(type(tag_id) == types.IntType,'ParamError')\n tag = Tag.query.get(tag_id)\n return tag.json\n\n@register('get_tag_post_count')\ndef get_tag_post_count(tag_id):\n assert_error(type(tag_id) == types.IntType,'ParamError')\n count = Tagging.query.filter(Tagging.tag_id == tag_id).count()\n return count\n\n@register('get_tag_post')\ndef get_tag_post(tag_id,limit=10,offset=0):\n assert_error(offset>=0,'ParamError')\n posts = Post.query.join(Tagging,Post.id == Tagging.taggable_id).\\\n filter(Tagging.tag_id == tag_id).\\\n filter(Post.show == True).\\\n order_by(Tagging.date_create.desc()).\\\n limit(limit).offset(offset).all()\n return [p.json for p in posts];\n\ndef _get_tag_id(tagstr):\n tag = Tag.query.filter(Tag.name == tagstr).first()\n if tag:\n return tag.id\n _tag = Tag(name=tagstr)\n try:\n db.session.add(_tag)\n db.session.commit()\n except:\n pass\n else:\n return _tag.id\n\n return None\n\n@register('add_post_tag')\ndef add_post_tag(post_id,tags):\n for tag in tags:\n t = _get_tag_id(tag)\n if t is None:\n continue\n try:\n tagging = Tagging(taggable_id=post_id,tag_id=t)\n db.session.add(tagging)\n db.session.commit()\n except:\n db.session.rollback()\n\n\n\n"},{"alpha_fraction":0.5325779318809509,"alphanum_fraction":0.5387586951255798,"avg_line_length":31.066116333007812,"blob_id":"58b0f27f74ca6f194e01505956ce981dc79248e9","content_id":"271126e6ab69c1bb8637bf04a907897c23d57f4b","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":4141,"license_type":"no_license","max_line_length":86,"num_lines":121,"path":"/motiky/cacheutil.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# File: cacheutil.py\n\n\"\"\"\n一个进程内缓存的实现 应急的时候才用 并不是很安全\n\"\"\"\nimport types\nimport time\nimport hashlib\nimport json\n\nfrom motiky.configs import redis\n\nLOCALCACHE_POOL={} #本地缓存字典\nLOCALCACHE_MAX_ITEM_COUNT=10000 #最大存储对象数量\nLOCALCACHE_KILL_COUNT=1000 #缓存满时删除对象数量\n\n\ndef rcache(timeout, cachekey=None):\n \"\"\"基于redis 的函数调用缓存\"\"\"\n def inter1(func):\n def inter2(*args,**kwargs):\n if cachekey is not None:\n callstr = cachekey\n else:\n params = map(lambda xx:repr(xx),args)\n for (k,v) in kwargs.items():\n params.append('%s=%s'%(k,repr(v)))\n callstr='CALLCACHE::%s(%s)' % (func.func_name,','.join(params))\n retobj = redis.get(callstr)\n if retobj:\n return json.loads(retobj)\n retobj = func(*args,**kwargs)\n rp = redis.pipeline()\n rp.set(callstr,json.dumps(retobj)).expire(callstr,timeout).execute()\n return retobj\n return inter2\n return inter1\n\ndef delete_cache(cachekey=None):\n \"\"\"用相同的参数删除rcache\"\"\"\n def inter1(func):\n def inter2(*args,**kwargs):\n if cachekey is not None:\n callstr = cachekey\n else:\n params = map(lambda xx:repr(xx),args)\n for (k,v) in kwargs.items():\n params.append('%s=%s'%(k,repr(v)))\n callstr='CALLCACHE::%s(%s)' % (func.func_name,','.join(params))\n redis.delete(callstr)\n return inter2\n return inter1\n\ndef ugc_control_set(user_id,obj_type,obj_id,timeout):\n \"\"\"\n 设置UGC的时间\n 可以在执行ugc操作之前先过来set 一下,如果返回True则允许下一步\n False则因为太频繁不允许ugc\n \"\"\"\n assert type(user_id) == types.IntType\n assert type(timeout) == types.IntType\n q = {\n 'user_id':user_id,\n 'obj_type':obj_type,\n 'obj_id':obj_id\n }\n _key = \"\"\"UGC::%(user_id)s::%(obj_type)s::%(obj_id)s\"\"\" % q\n ret = redis.get(_key)\n if ret != None:\n return False\n else:\n redis.pipeline().set(_key,'on').expire(_key,timeout).execute()\n return True\n\ndef callcache(timeout):\n \"\"\"函数的调用缓存\"\"\"\n def inter1(func):\n def inter2(*args,**kwargs):\n params=map(lambda xx:repr(xx),args)\n for (k,v) in kwargs.items():\n params.append('%s=%s'%(k,repr(v)))\n callstr='%s(%s)'%(func.__name__,','.join(params))\n try:\n cachedict=LOCALCACHE_POOL[callstr]\n if cachedict['timeout']==None:\n return cachedict['return']\n elif cachedict['timeout']>time.time():\n return cachedict['return']\n else:\n del LOCALCACHE_POOL[callstr]\n except KeyError:\n pass\n retobj=func(*args,**kwargs)\n if len(LOCALCACHE_POOL)>=LOCALCACHE_MAX_ITEM_COUNT:\n clear_localcache()\n cachedict={'return':retobj,}\n if timeout:\n cachedict['timeout']=int(time.time())+timeout\n else:\n cachedict['timeout']=None\n LOCALCACHE_POOL[callstr]=cachedict\n return retobj\n return inter2\n return inter1\n\n\ndef clear_localcache():\n \"\"\"将本地缓存清理出一块空间来\"\"\"\n for (callstr,cachedict) in LOCALCACHE_POOL.items():\n if cachedict['timeout']<time.time():\n del LOCALCACHE_POOL[callstr] #删除已经超时的\n #need_del_left=len(LOCALCACHE_POOL)-LOCALCACHE_MAX_ITEM_COUNT\n need_del_left=len(LOCALCACHE_POOL)+LOCALCACHE_KILL_COUNT-LOCALCACHE_MAX_ITEM_COUNT\n for (callstr,cachedict) in LOCALCACHE_POOL.items():\n if cachedict['timeout']!=None:\n del LOCALCACHE_POOL[callstr]\n need_del_left-=1\n if need_del_left<=0:\n break\n return\n\n\n\n"},{"alpha_fraction":0.426086962223053,"alphanum_fraction":0.508695662021637,"avg_line_length":9.5,"blob_id":"e7c29677d77b83e9cb05a821c7a70c010a817e6b","content_id":"a332e4e6457f8733ee4922dd2cdcded5a6a8fed8","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":238,"license_type":"no_license","max_line_length":52,"num_lines":22,"path":"/docs/motiky-api-doc.md","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"* 获取tags 列表\n\n```\nGET /tags\n\nRESPONSE \n\n{\n\t'results':[\n\t\t{\n\t\t\t'id':int,\n\t\t\t'name':str,\n\t\t\t'show':bool,\n\t\t\t'pic_url':str,\n\t\t\t'order_seq':int,\n\t\t\t'recommended':bool,\n\t\t\t'date_create':str => '1988-12-13 00:00:00.12345'\n\t\t},\n\t]\n}\n\n```"},{"alpha_fraction":0.7105262875556946,"alphanum_fraction":0.7105262875556946,"avg_line_length":37,"blob_id":"1d93d2ec375ef0b0826bba7cff9e81f1fdfe62ef","content_id":"aa26c61695ca90798275f5b32929537b5269b782","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Shell","length_bytes":114,"license_type":"no_license","max_line_length":70,"num_lines":3,"path":"/scripts/pg_backup.sh","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"#!/bin/bash\nexport PGPASSWORD='password'\npg_dump -Uuser -hlocalhost -a -f /data/backups/`date +%F`.sql database\n"},{"alpha_fraction":0.7386091351509094,"alphanum_fraction":0.743405282497406,"avg_line_length":15.038461685180664,"blob_id":"9bb7c9d2f343e2267062eccac398fc7b3a9ca3b5","content_id":"80a2c52f3550b04dfb5dee20e724f89bd9c47918","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":417,"license_type":"no_license","max_line_length":58,"num_lines":26,"path":"/scripts/notify_data.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"#/usr/bin/evn python\n# -*- coding: utf-8 -*-\n\nimport os\nimport sys\nimport json\nimport traceback\n\nsys.path.insert(0,'../')\n\nfrom komandr import *\n\nfrom motiky.logic.models import User,Post,Comment,Activity\n\nfrom motiky import create_app\nfrom motiky import configs\nfrom motiky.configs import db\n\napp = create_app(configs.ProductionConfig)\n\n@command('generate_notify_data')\ndef generate_notify_data():\n pass\n\n\nmain()\n"},{"alpha_fraction":0.5618235468864441,"alphanum_fraction":0.5673991441726685,"avg_line_length":26.672727584838867,"blob_id":"9de450161e35c11ab57783687e44f3daad49d12b","content_id":"da82b4839ae447d8a8147476786d88c3e2d27ed8","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":3049,"license_type":"no_license","max_line_length":75,"num_lines":110,"path":"/motiky/views/comment.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n\n# author: notedit <notedit@gmail.com>\n\nimport os\nimport sys\nimport md5\nimport time\nimport logging\nimport flask\nfrom flask import g\nfrom flask import request\nfrom flask import Blueprint\nfrom flask import redirect\nfrom flask import Response\nfrom flask import current_app\nfrom flask import session\nfrom flask import jsonify\nfrom flask import flash\nfrom flask.views import MethodView\nfrom flask.views import View\n\nfrom motiky import authutil\nfrom motiky import strutil\nfrom motiky.logic import backend\nfrom motiky.coreutil import BackendError\n\nfrom motiky.upyun import UpYun,md5,md5file\n\nfrom motiky.schema import NewCommentSchema\n\ninstance = Blueprint('comment',__name__)\n\n\nclass CommentView(MethodView):\n\n def post(self):\n data = NewCommentSchema().deserialize(request.json)\n \n user = backend.get_user(data['author_id'])\n\n post = backend.get_post(data['post_id'])\n\n if user['uid'] != g.ukey:\n return jsonify(error='not the user')\n \n try:\n comment = backend.add_comment(\n data['post_id'],\n data['content'].encode('utf-8'),\n data['author_id']\n )\n except BackendError,ex:\n raise\n\n if post['author_id'] != data['author_id']:\n try:\n backend.add_activity({\n 'post_id':data['post_id'],\n 'comment_id':comment['id'],\n 'from_id':data['author_id'],\n 'to_id':post['author_id'],\n 'atype':'comment'\n })\n except BackendError,ex:\n pass\n\n return jsonify(**comment)\n\n def delete(self,comment_id):\n comment = backend.get_comment(comment_id)\n try:\n backend.set_comment(comment_id,{'show':False})\n except BackendError,ex:\n abort(501)\n else:\n return '',204\n\n\nclass PostCommentsView(MethodView):\n\n def get(self,post_id):\n try:\n page = int(request.values.get('page','1'))\n except:\n page = 1\n\n limit = 20\n offset = (page-1)*limit\n\n comments = backend.get_post_comment(post_id,\n limit=limit,offset=offset)\n\n for comment in comments:\n user = backend.get_user(comment['author_id'])\n comment['user'] = user\n\n count = backend.get_post_comment_count(post_id)\n total_page = (count + limit -1 ) / limit\n return jsonify(comments=comments,page=page,total_page=total_page)\n\n\ninstance.add_url_rule('/comment',view_func=CommentView.as_view('comment'),\n methods=['POST'])\ninstance.add_url_rule('/comment/<int:comment_id>',\n view_func=CommentView.as_view('comment_delete'),\n methods=['DELETE'])\ninstance.add_url_rule('/post/<int:post_id>/comment',\n view_func=PostCommentsView.as_view('post_comment'),\n methods=['GET'])\n\n\n\n\n\n"},{"alpha_fraction":0.5399194359779358,"alphanum_fraction":0.5446576476097107,"avg_line_length":31.97265625,"blob_id":"3345765d362e9e335a09e855bbdae8abda4299a7","content_id":"28b6e944f128f4d56bbf75d35d557c3728a08daf","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":8472,"license_type":"no_license","max_line_length":102,"num_lines":256,"path":"/motiky/views/user.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n\n# author: notedit <notedit@gmail.com>\n\nimport sys \nimport time\nimport logging\nfrom datetime import datetime\n\nimport requests\n\nimport flask\nfrom flask import g\nfrom flask import request\nfrom flask import Blueprint\nfrom flask import redirect\nfrom flask import Response\nfrom flask import current_app\nfrom flask import session\nfrom flask import jsonify\nfrom flask import flash\nfrom flask.views import MethodView\nfrom flask.views import View\n\nfrom motiky import authutil\nfrom motiky.logic import backend\nfrom motiky.coreutil import BackendError\n\nfrom motiky.schema import NewUserSchema,UpdateUserSchema,UserFollowSchema,\\\n InstallSchema,PushSchema\n\ninstance = Blueprint('user',__name__)\n\nclass UserView(MethodView):\n\n def get(self,user_id):\n user = backend.get_user(user_id)\n return jsonify(**user)\n\n def get_weibo_info(self,uid,access_token):\n if current_app.config.get('CONFIG_TYPE') == 'test':\n return {'username':'notedit',\n 'photo_url':'photo_url',\n 'signature':'signature'}\n\n resp = requests.get('https://api.weibo.com/2/users/show.json',\n params={\n 'uid':uid,\n 'access_token':access_token\n })\n _ = resp.json\n return {'username':_['screen_name'],\n 'photo_url':_['avatar_large'],\n 'signature':_['description']}\n\n\n def post(self):\n data = NewUserSchema().deserialize(request.json)\n print 'data',data\n try:\n user = backend.get_user_by_uid(data['uid'].encode('utf-8'))\n user = backend.set_user(user['id'],\n {\n 'uid':data['uid'].encode('utf-8'),\n 'access_token':data['access_token'].encode('utf-8')\n })\n except BackendError,ex:\n if ex.message == 'EmptyError':\n user = {}\n else:\n return jsonify(error='服务器开小差了')\n else:\n return jsonify(**user)\n\n _data = self.get_weibo_info(data['uid'],data['access_token'])\n data.update(_data)\n try:\n user = backend.add_user(\n data['username'].encode('utf-8'),\n data['photo_url'].encode('utf-8'),\n data['uid'].encode('utf-8'),\n data['signature'].encode('utf-8'),\n data['access_token'].encode('utf-8')\n )\n except BackendError,ex:\n return jsonify(error='add new user error')\n\n print 'add user',user\n user.update({'new':True})\n return jsonify(**user)\n\n def put(self,user_id):\n data = UpdateUserSchema().deserialize(request.json)\n try:\n user = backend.set_user(user_id,data)\n except BackendError,ex:\n raise ex\n else:\n return '',204\n\n\nclass InstallView(MethodView):\n\n def post(self):\n data = InstallSchema().deserialize(request.json)\n \n user_id = data['user_id']\n try:\n install = backend.get_install_by_user(user_id)\n except BackendError,ex:\n install = None\n\n if not install:\n install = backend.new_install(\n data['user_id'],\n data['device_token'].encode('utf-8'),\n data['version'],\n data['device_type'])\n\n return jsonify(install_id=install['id'])\n\n\nclass UserFollowView(MethodView):\n\n def post(self):\n '''关注用户'''\n data = UserFollowSchema().deserialize(request.json)\n from_id = authutil.get_user_id(g.ukey)\n for uid in data['user_ids']:\n try:\n backend.follow_user(from_id,uid)\n backend.add_activity({\n 'from_id':from_id,\n 'to_id':uid,\n 'atype':'follow'\n })\n except BackendError,ex:\n pass\n\n return '',201\n\n\n def delete(self,user_id_to):\n '''取消关注'''\n user_id = authutil.get_user_id(g.ukey)\n try:\n backend.unfollow_user(user_id,user_id_to)\n except BackendError,ex:\n raise \n return '',204\n\n\nclass UserIsFollowingView(MethodView):\n\n def get(self,user_id_to):\n user_id = authutil.get_user_id(g.ukey)\n ret = backend.is_following_user(user_id,user_id_to)\n return jsonify(is_follow=ret)\n\n\nclass UserFollowingView(MethodView):\n\n def get(self,user_id):\n try:\n page = int(request.values.get('page'))\n except:\n page = 1\n\n limit = 50\n offset = (page-1) * 50\n\n following_users = backend.get_user_following(user_id,limit=limit,\n offset=offset)\n\n curr_user = backend.get_user_by_uid(g.ukey)\n\n fids = [u['id'] for u in following_users]\n fdict = backend.is_following_user(curr_user['id'],fids)\n for fu in following_users:\n fu['follower_count'] = backend.get_user_follower_count(fu['id'])\n fu['is_follow'] = fdict.get(fu['id']) or False\n count = backend.get_user_following_count(user_id)\n total_page = (count + 49) / 50\n return jsonify(users=following_users,page=page,total_page=total_page)\n\n\nclass UserFollowerView(MethodView):\n\n def get(self,user_id):\n try:\n page = int(request.values.get('page'))\n except:\n page = 1\n\n limit = 50\n offset = (page - 1) * 50\n followers = backend.get_user_follower(user_id,limit=limit,offset=offset)\n fids = [u['id'] for u in followers]\n\n curr_user = backend.get_user_by_uid(g.ukey)\n\n fdict = backend.is_following_user(curr_user['id'],fids)\n for fu in followers:\n fu['follower_count'] = backend.get_user_follower_count(fu['id'])\n fu['is_follow'] = fdict.get(fu['id']) or False\n count = backend.get_user_follower_count(user_id)\n total_page = (count + 49) / 50\n return jsonify(users=followers,page=page,total_page=total_page)\n\nclass ProfileView(MethodView):\n\n def get(self,user_id):\n user = backend.get_user(user_id)\n\n user_following_count = backend.get_user_following_count(user_id)\n user_follower_count = backend.get_user_follower_count(user_id)\n user_post_count = backend.get_user_post_count(user_id)\n user_liked_post_count = backend.get_user_liked_post_count(user_id)\n\n curr_user = backend.get_user_by_uid(g.ukey)\n\n is_follow = backend.is_following_user(curr_user['id'],user_id)\n \n pd = {\n 'is_follow':is_follow,\n 'following_count':user_following_count,\n 'follower_count':user_follower_count,\n 'post_count':user_post_count,\n 'liked_post_count':user_liked_post_count\n }\n user.update(pd)\n return jsonify(**user)\n\n\ninstance.add_url_rule('/user',view_func=UserView.as_view('user'),\n methods=['POST',])\ninstance.add_url_rule('/user/<int:user_id>',view_func=UserView.as_view('user'),\n methods=['GET','PUT'])\ninstance.add_url_rule('/install',view_func=InstallView.as_view('install'),\n methods=['POST'])\ninstance.add_url_rule('/user/follow',view_func=UserFollowView.as_view('user_follow'),\n methods=['POST'])\ninstance.add_url_rule('/user/follow/<int:user_id_to>',view_func=UserFollowView.as_view('user_follow'),\n methods=['DELETE'])\ninstance.add_url_rule('/user/isfollowing/<int:user_id>',\n view_func=UserIsFollowingView.as_view('user_is_following'),\n methods=['GET'])\ninstance.add_url_rule('/user/following/<int:user_id>',\n view_func=UserFollowingView.as_view('user_following'),\n methods=['GET'])\ninstance.add_url_rule('/user/follower/<int:user_id>',\n view_func=UserFollowerView.as_view('user_follower'),\n methods=['GET'])\ninstance.add_url_rule('/user/profile/<int:user_id>',\n view_func=ProfileView.as_view('user_profile'),\n methods=['GET'])\n\n"},{"alpha_fraction":0.6138364672660828,"alphanum_fraction":0.6150943636894226,"avg_line_length":22.382352828979492,"blob_id":"40248a5a1a38541c04206d887a7382ed921a27dc","content_id":"8d463e6ad9ee29fee4ac69c84f0a45d3117a42dc","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":795,"license_type":"no_license","max_line_length":89,"num_lines":34,"path":"/tests/__init__.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n\nimport unittest\nimport logging\nimport time\nimport hmac\n\nfrom flask.ext.testing import TestCase as Base\n\nfrom motiky import create_app\nfrom motiky import configs\nfrom motiky.configs import db,redis\n\nclass TestCase(Base):\n\n def create_app(self):\n app = create_app(configs.TestConfig)\n app.config['TESTING'] = True\n return app\n\n def generate_header(self,ukey):\n _now = int(time.time())\n token = '%s|%d|%s' % (ukey,_now,hmac.new(configs.TestConfig().APPLICATION_SECRET,\n ukey+str(_now)).hexdigest())\n return {'X-MOTIKY-TOKEN':token}\n\n def setUp(self):\n db.create_all()\n redis.flushdb()\n\n def tearDown(self):\n db.session.remove()\n db.drop_all()\n print dir(redis)\n"},{"alpha_fraction":0.7609890103340149,"alphanum_fraction":0.7637362480163574,"avg_line_length":19.705883026123047,"blob_id":"f4971b8321bbdaeb1dcba73a6718fbe5b7f40178","content_id":"67cae1ea73ce666d810d09762ec093baaf48d59b","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":364,"license_type":"no_license","max_line_length":34,"num_lines":17,"path":"/motiky/views/index.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n\n# author: notedit <notedit@gmail.com>\n\nimport sys \nimport time\nimport logging\nimport flask\nfrom flask import g\nfrom flask import request\nfrom flask import redirect\nfrom flask import Response\nfrom flask import current_app\nfrom flask import session\nfrom flask import jsonify\nfrom flask.views import MethodView\nfrom flask.views import View\n\n\n\n \n\n\n\n\n"},{"alpha_fraction":0.5646132826805115,"alphanum_fraction":0.569900393486023,"avg_line_length":30.13793182373047,"blob_id":"d0f33ab99ac44f434b34924ecff30bbeef689a7a","content_id":"78c4226e2984a0c349df6a7d000286e628a04477","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":8133,"license_type":"no_license","max_line_length":84,"num_lines":261,"path":"/motiky/views/post.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n\n# author: notedit <notedit@gmail.com>\n\nimport os\nimport sys\nimport md5\nimport time\nimport logging\nimport flask\nfrom flask import g\nfrom flask import request\nfrom flask import Blueprint\nfrom flask import redirect\nfrom flask import Response\nfrom flask import current_app\nfrom flask import session\nfrom flask import jsonify\nfrom flask import flash\nfrom flask.views import MethodView\nfrom flask.views import View\n\nfrom motiky import authutil\nfrom motiky import strutil\nfrom motiky.logic import backend\nfrom motiky.coreutil import BackendError\n\nfrom motiky.upyun import UpYun,md5,md5file\n\nfrom motiky.schema import NewPostSchema,UpdatePostSchema,\\\n PostLikeSchema,PostUnlikeSchema\n\ninstance = Blueprint('post',__name__)\n\nupYun = UpYun('xxxxxxxx','xxxxxxxxxx','xxxxxxxxx')\nupYun.setApiDomain('v0.api.upyun.com')\nupYun.debug = True\n\ndef save_file(file_data,ftype):\n file_md5 = md5(file_data)\n file_size = len(file_data)\n file_id = backend.add_file_data(file_size,file_md5)\n extname = 'mp4' if ftype == 'video' else 'jpg'\n file_url = '%s.%s' % (file_id,extname)\n if current_app.config.get('CONFIG_TYPE') == 'production':\n upYun.writeFile('/'+file_url,file_data)\n else:\n writeFile('/storage/' + file_url,file_data)\n return file_id,file_url\n\n\ndef writeFile(file_url,file_data):\n dirname = os.path.dirname(file_url)\n if not os.path.exists(dirname):\n os.makedirs(dirname,0777)\n\n with open(file_url,'wb') as f:\n f.write(file_data)\n f.flush()\n\nclass PostView(MethodView):\n\n def get(self,post_id):\n post = backend.get_post(post_id)\n curr_user = backend.get_user_by_uid(g.ukey)\n post['is_like'] = backend.is_like_post(curr_user['id'],post['id'])\n post['like_count'] = backend.get_post_liked_count(post_id)\n post['comment_count'] = backend.get_post_comment_count(post_id)\n return jsonify(**post)\n\n def post(self):\n _data = {\n 'author_id':request.values.get('author_id'),\n 'title':request.values.get('title'),\n }\n data = NewPostSchema().deserialize(_data)\n \n user = backend.get_user(data['author_id'])\n \n if user['uid'] != g.ukey:\n return jsonify(error='not the user')\n\n # video_file\n video_file = request.files.get('video_file')\n video_data = strutil.read_data(video_file)\n video_id,video_url = save_file(video_data,'video')\n\n # pic_file\n pic_file = request.files.get('pic_file')\n pic_data = strutil.read_data(pic_file)\n pic_id,pic_url = save_file(pic_data,'pic')\n\n data['title'] = data['title'].encode('utf-8') if data['title'] else ''\n try:\n post = backend.add_post(\n data['title'],\n data['author_id'],\n video_url,\n pic_small=pic_url\n )\n except BackendError,ex:\n raise\n\n tags = strutil.extract_tags(data['title'])\n\n if tags:\n backend.add_post_tag(post['id'],tags)\n\n return jsonify(**post)\n\n def put(self,post_id):\n data = UpdatePostSchema().deserialize(request.json)\n try:\n backend.set_post(post_id,data)\n except BackendError,ex:\n abort(501)\n else:\n return '',204\n\n def delete(self,post_id):\n post = backend.get_post(post_id)\n curr_id = authutil.get_user_id(g.ukey)\n if post['author_id'] != curr_id:\n return jsonify(error='forbid')\n try:\n backend.set_post(post_id,{'show':'deleted_by_user'})\n except BackendError,ex:\n abort(501)\n else:\n return '',204\n\n\nclass PostListView(MethodView):\n\n def get(self):\n try:\n page = int(request.values.get('page','1'))\n except:\n page = 1\n\n limit = 20\n offset = (page-1)*limit\n\n posts = backend.get_latest_post(limit=limit,offset=offset)\n count = backend.get_post_count()\n\n for post in posts:\n post['like_count'] = backend.get_post_liked_count(post['id'])\n post['comment_count'] = backend.get_post_comment_count(post['id'])\n \n total_page = (count + limit -1 ) / limit\n return jsonify(posts=posts,page=page,total_page=total_page)\n\n\nclass UserPostView(MethodView):\n\n def get(self,user_id):\n try:\n page = int(request.values.get('page','1'))\n except:\n page = 1\n\n limit = 20\n offset = (page-1) * limit\n \n curr_user = backend.get_user_by_uid(g.ukey)\n user_posts = backend.get_user_post(user_id,limit=limit,offset=offset)\n\n liked_post_ids = [p['id'] for p in user_posts];\n liked_dict = backend.is_like_post(curr_user['id'],liked_post_ids)\n for up in user_posts:\n up['is_like'] = liked_dict.get(up['id']) or False\n up['like_count'] = backend.get_post_liked_count(up['id'])\n up['comment_count'] = backend.get_post_comment_count(up['id'])\n \n\n\n count = backend.get_user_post_count(user_id)\n total_page = (count + limit - 1) / limit\n\n return jsonify(posts=user_posts,page=page,total_page=total_page)\n\nclass UserLikedPostView(MethodView):\n\n def get(self,user_id):\n try:\n page = int(request.values.get('page'))\n except:\n page = 1\n\n limit = 20\n offset = (page-1) * limit\n\n liked_posts = backend.get_user_liked_post(user_id,limit=limit,offset=offset)\n for p in liked_posts:\n p['is_like'] = True\n p['like_count'] = backend.get_post_liked_count(p['id'])\n p['comment_count'] = backend.get_post_comment_count(p['id'])\n \n\n count = backend.get_user_liked_post_count(user_id)\n total_page = (count + limit -1) / limit\n \n return jsonify(posts=liked_posts,page=page,total_page=total_page)\n\nclass PostLikeView(MethodView):\n\n def post(self):\n data = PostLikeSchema().deserialize(request.json)\n try:\n ret = backend.add_like(data['user_id'],data['post_id'])\n except BackendError,ex:\n return jsonify(error='can not add like')\n\n try:\n post = backend.get_post(data['post_id'])\n backend.add_activity({\n 'post_id':data['post_id'],\n 'from_id':data['user_id'],\n 'to_id':post['author_id'],\n 'atype':'like'\n })\n except BackendError,ex:\n pass\n\n liked_count = backend.get_post_liked_count(data['post_id'])\n\n return jsonify(like_count=liked_count)\n\nclass PostUnlikeView(MethodView):\n\n def post(self):\n data = PostUnlikeSchema().deserialize(request.json)\n try:\n ret = backend.del_like(data['user_id'],data['post_id'])\n except BackendError,ex:\n raise \n\n liked_count = backend.get_post_liked_count(data['post_id'])\n\n return jsonify(like_count=liked_count)\n\n\ninstance.add_url_rule('/post',view_func=PostView.as_view('post'),\n methods=['POST'])\ninstance.add_url_rule('/post/<int:post_id>',view_func=PostView.as_view('post'),\n methods=['GET','PUT','DELETE'])\ninstance.add_url_rule('/posts',view_func=PostListView.as_view('posts'),\n methods=['GET'])\ninstance.add_url_rule('/posts/user/<int:user_id>',\n view_func=UserPostView.as_view('user_post'),\n methods=['GET',])\ninstance.add_url_rule('/posts/user/<int:user_id>/liked',\n view_func=UserLikedPostView.as_view('user_liked_post'),\n methods=['GET',])\ninstance.add_url_rule('/post/like',\n view_func=PostLikeView.as_view('post_like'),\n methods=['POST',])\ninstance.add_url_rule('/post/unlike',\n view_func=PostUnlikeView.as_view('post_unlike'),\n methods=['POST',])\n\n\n\n\n\n\n"},{"alpha_fraction":0.595625638961792,"alphanum_fraction":0.5986775159835815,"avg_line_length":27.83823585510254,"blob_id":"826a513505d77b0484a44d5d7de75f9cf5d9201f","content_id":"c7b19287af36639dea79e125a75f79414dc27d24","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1994,"license_type":"no_license","max_line_length":81,"num_lines":68,"path":"/motiky/coreutil.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*- \n\nimport os\nimport sys\nimport time\nimport logging\nimport inspect\nimport traceback\n\n\n\nbackend_mapping = {}\ndef register(funcname=None):\n global backend_mapping \n def inter1(func,funcname=None):\n funcname = funcname if funcname else func.__name__\n if not backend_mapping.has_key(funcname):\n backend_mapping[funcname] =func\n else:\n raise KeyError('%s:funcname declare more than once '%repr(funcname))\n def inter2(*args,**kwargs):\n return func(*args,**kwargs)\n setattr(inter2,'argspec',inspect.getargspec(func))\n return inter2\n return lambda func:inter1(func,funcname)\n\ndef assert_error(expr,msg,detail=''):\n if not expr:\n if not detail:\n detail = msg\n raise BackendError(msg,detail)\n\nclass BackendError(Exception):\n def __init__(self,message,detail):\n self.message = message\n self.detail = detail\n \n def __str__(self):\n return 'BackendError(%s,%s)' % (self.message,self.detail)\n\n def __repr__(self):\n return 'BackendError(%s,%s)' %(self.message,self.detail)\n\n\nclass Backend(object):\n '''去掉一些后端不需要导出的方法'''\n def __init__(self,func_mapping):\n self.func_mapping = func_mapping\n\n def __getattr__(self,attr_name):\n if self.func_mapping.has_key(attr_name):\n func = lambda *args,**kwargs: self.__call__(attr_name,*args,**kwargs)\n func.__name__ = 'backend.' + attr_name\n return func\n else:\n raise AttributeError('backend does not have %s attibute'%attr_name)\n\n\n def __call__(self,funcname,*args,**kwargs):\n try:\n return self.func_mapping[funcname](*args,**kwargs)\n except BackendError,ex:\n print ex.detail\n raise ex \n except Exception,ex:\n excstr = traceback.format_exc()\n print excstr\n raise BackendError('BackendError',excstr)\n\n\n\n\n\n"},{"alpha_fraction":0.5238507986068726,"alphanum_fraction":0.5542064309120178,"avg_line_length":33.1629638671875,"blob_id":"2bf898788870f8eeafde5b3c5a4b30203644e076","content_id":"c2c12e00e13d1b9e72406cc9596adaf9f06689e5","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":4612,"license_type":"no_license","max_line_length":82,"num_lines":135,"path":"/tests/test_post.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n\n\nimport os\nimport sys\nimport types\nimport json\nimport time\nfrom datetime import datetime\nfrom datetime import timedelta\n\nfrom StringIO import StringIO\n\nfrom tests import TestCase\n\n\nfrom motiky.logic.models import User,Post,UserLikeAsso,Report,Install,\\\n UserFollowAsso,Comment,Activity,Action\n\nfrom motiky.logic import backend\n\nfrom motiky.configs import db,redis\n\nclass TestPost(TestCase):\n\n\n def test_post_view(self):\n\n # post\n user1 = backend.add_user('username01','photo_url01','weibo_id01')\n headers = self.generate_header('weibo_id01')\n data = {\n 'title':'title01',\n 'author_id':user1['id'],\n 'video_file':(StringIO('AAAA' * 10000),'hello.mp4'),\n 'pic_file':(StringIO('AAAA' * 1000),'hello.png')\n }\n\n resp = self.client.post('/post',data=data,headers=headers)\n\n _data = json.loads(resp.data)\n assert resp.status_code == 200\n assert _data['title'] == 'title01'\n\n # get\n resp = self.client.get('/post/%d' % _data['id'],headers=headers)\n data_get = json.loads(resp.data)\n print resp.data\n assert data_get['title'] == 'title01'\n\n # put\n put_in = {'pic_small':'pic_small'}\n resp = self.client.put('/post/%d'%_data['id'],data=json.dumps(put_in),\n headers=headers,content_type='application/json')\n print resp.data\n assert resp.status_code == 204\n\n def test_posts_view(self):\n\n user1 = backend.add_user('username01','photo_url01','weibo_id01')\n post1 = backend.add_post('post01',user1['id'],\n 'video_url','pic_small1')\n post2 = backend.add_post('post02',user1['id'],\n 'video_url','pic_small2')\n post3 = backend.add_post('post03',user1['id'],\n 'video_url','pic_small3')\n\n headers = self.generate_header('weibo_id01')\n\n resp = self.client.get('/posts',headers=headers)\n data_get = json.loads(resp.data)\n assert len(data_get['posts']) == 3\n\n def test_user_posts(self):\n user1 = backend.add_user('username01','photo_url01','weibo_id01')\n post1 = backend.add_post('post01',user1['id'],\n 'video_url','pic_small1')\n post2 = backend.add_post('post02',user1['id'],\n 'video_url','pic_small2')\n post3 = backend.add_post('post03',user1['id'],\n 'video_url','pic_small3')\n\n headers = self.generate_header('weibo_id01')\n\n resp = self.client.get('/posts/user/%d'%user1['id'],headers=headers)\n data_get = json.loads(resp.data)\n assert len(data_get['posts']) == 3\n\n def test_user_liked_posts(self):\n user1 = backend.add_user('username01','photo_url01','weibo_id01')\n post1 = backend.add_post('post01',user1['id'],\n 'video_url','pic_small1')\n post2 = backend.add_post('post02',user1['id'],\n 'video_url','pic_small2')\n post3 = backend.add_post('post03',user1['id'],\n 'video_url','pic_small3')\n\n headers = self.generate_header('weibo_id01')\n\n ula1 = UserLikeAsso(user_id=user1['id'],post_id=post1['id'])\n ula2 = UserLikeAsso(user_id=user1['id'],post_id=post2['id'])\n ula3 = UserLikeAsso(user_id=user1['id'],post_id=post3['id'])\n\n db.session.add(ula1)\n db.session.add(ula2)\n db.session.add(ula3)\n db.session.commit()\n\n resp = self.client.get('/posts/user/%d/liked'%user1['id'],headers=headers)\n data_get = json.loads(resp.data)\n assert len(data_get['posts']) == 3\n\n def test_post_like(self):\n user1 = backend.add_user('username01','photo_url01','weibo_id01')\n post1 = backend.add_post('post01',user1['id'],\n 'video_url','pic_small1')\n\n headers = self.generate_header('weibo_id01')\n\n _data = {\n 'user_id':user1['id'],\n 'post_id':post1['id']\n }\n resp = self.client.post('/post/like',data=json.dumps(_data),\n headers=headers,content_type='application/json')\n\n data_get = json.loads(resp.data)\n assert data_get['like_count'] == 1\n\n\n resp = self.client.post('/post/unlike',data=json.dumps(_data),\n headers=headers,content_type='application/json')\n\n data_get = json.loads(resp.data)\n assert data_get['like_count'] == 0\n"},{"alpha_fraction":0.6138541102409363,"alphanum_fraction":0.6210390329360962,"avg_line_length":24.710901260375977,"blob_id":"a30200bebc4d6ccc5048f07c4410d0d10b25300c","content_id":"e0a5e2c9d58b6f1daf4068b2939874a93bf88340","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":5428,"license_type":"no_license","max_line_length":88,"num_lines":211,"path":"/motiky/views/admin.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n\n# author: notedit <notedit@gmail.com>\n\nimport os\nimport sys \nimport time\nimport uuid\nimport logging\nfrom datetime import datetime\n\nimport requests\n\nimport flask\nfrom flask import g\nfrom flask import request\nfrom flask import Blueprint\nfrom flask import redirect\nfrom flask import Response\nfrom flask import current_app\nfrom flask import session\nfrom flask import jsonify\nfrom flask import flash\nfrom flask.views import MethodView\nfrom flask.views import View\n\nfrom werkzeug import secure_filename\n\nfrom motiky import authutil\nfrom motiky.logic import backend\nfrom motiky.coreutil import BackendError\nfrom motiky.logic.models import User,Post,Report,Install,\\\n UserFollowAsso,UserLikeAsso,Comment,Activity,Tag,Tagging,\\\n CmsUser,Storage\n\nfrom motiky.upyun import UpYun,md5,md5file\n\ninstance = Blueprint('admin',__name__)\n\nupYun = UpYun('xxxxxx','xxxxxx','xxxxxx')\nupYun.setApiDomain('v0.api.upyun.com')\nupYun.debug = True\n\n@instance.route('/users')\ndef users_list():\n page = request.values.get('page','1')\n try:\n page = int(page)\n except:\n page = 1\n\n _users = User.query.order_by(User.date_create.desc()).limit(20).\\\n offset((page - 1) * 20).all()\n\n users_count = User.query.count()\n\n users = []\n for u in _users:\n us = u.json\n users.append(us)\n\n total_page = (users_count + 19) / 20\n \n return render_template('user_list.html',users=users,page=page,total_page=total_page)\n\n\n@instance.route('/posts')\ndef post_list():\n page = request.values.get('page','1')\n try:\n page = int(page)\n except:\n page = 1\n\n _posts = Post.query.order_by(Post.date_create.desc()).limit(20).\\\n offset((page - 1) * 20).all()\n \n posts_count = Post.query.count()\n\n posts = []\n for po in _posts:\n pos = po.json\n user = po.user.json\n pos['user'] = user\n posts.append(pos)\n\n total_page = (posts_count + 19) / 20\n \n return render_template('post_list.html',posts=posts,count=posts_count,\n page=page,total_page=total_page)\n\n@instance.route('/post/<int:post_id>/recommend')\ndef post_recommend(post_id):\n post = Post.query.get(post_id)\n post.recommended = True\n db.session.commit()\n return redirect('/admin/posts')\n\n@instance.route('/post/<int:post_id>/not_recommend')\ndef post_recommend(post_id):\n post = Post.query.get(post_id)\n post.recommended = False\n db.session.commit()\n return redirect('/admin/posts')\n\n@instance.route('/post/<int:post_id>/show')\ndef post_recommend(post_id):\n post = Post.query.get(post_id)\n post.show = True\n db.session.commit()\n return redirect('/admin/posts')\n\n@instance.route('/post/<int:post_id>/hide')\ndef post_recommend(post_id):\n post = Post.query.get(post_id)\n post.show = False\n db.session.commit()\n return redirect('/admin/posts')\n\n@instance.route('/tags')\ndef tag_list():\n page = request.values.get('page','1')\n try:\n page = int(page)\n except:\n page = 1\n\n _tags = Tag.query.order_by(Post.date_create.desc()).limit(20).\\\n offset((page - 1) * 20).all()\n \n tags_count = Tag.query.count()\n\n tags = []\n for t in _tags:\n t = t.json\n tags.append(t)\n\n total_page = (tags_count + 19) / 20\n \n return render_template('tag_list.html',tags=tags,\n page=page,total_page=total_page)\n\n@instance.route('/add_tag')\ndef add_tag():\n if request.method == 'GET':\n return render_template('add_tag.html')\n\n name = request.values.get('name')\n pic_url = request.values.get('pic_url')\n order_seq = request.values.get('order_seq')\n show = request.values.get('show') == 'true' or False\n recommended = request.values.get('recommended') == 'true' or False\n\n tag = Tag()\n tag.name = name\n tag.pic_url = pic_url\n tag.order_seq = order_seq\n tag.show = show\n tag.recommended = recommended\n\n try:\n db.session.add(tag)\n db.session.commit()\n except:\n db.session.rollback()\n raise\n else:\n return redirect('/admin/tags')\n\n@instance.route('/tag/<int:tag_id>/edit')\ndef edit_tag(tag_id):\n tag = Tag.query.get(tag_id)\n\n if request.method == 'GET':\n return render_template('edit_tag.html',tag=tag.json)\n\n name = request.values.get('name')\n pic_url = request.values.get('pic_url')\n order_seq = request.values.get('order_seq')\n show = request.values.get('show') == 'true' or False\n recommended = request.values.get('recommended') == 'true' or False\n\n tag.name = name\n tag.pic_url = pic_url\n tag.order_seq = order_seq\n tag.show = show\n tag.recommended = recommended\n\n try:\n db.session.commit()\n except:\n db.session.rollback()\n raise\n else:\n return redirect('/admin/tags')\n\n\n@instance.route('/upload',methods=['POST','GET'])\ndef upload():\n if request.method == 'GET':\n return render_template('upload.html',file_name='')\n\n pic_file = request.files.get('upload')\n fname = secure_filename(pic_file.filename)\n extn = os.path.splitext(fname)[1]\n cname = '/' + str(uuid.uuid4()) + str(extn)\n pic_data = strutil.read_data(pic_file)\n upYun.writeFile(cname,pic_data)\n \n cname = upyun_prefix + cname\n return render_template('upload.html',file_name=cname)\n\n\n\n"},{"alpha_fraction":0.5363573431968689,"alphanum_fraction":0.5702043175697327,"avg_line_length":33.687686920166016,"blob_id":"8c7f7069f71a096ddc91c337e5de6c2770b7e5a0","content_id":"fb2d840a75449d6e11e697bee1b66c03f7f2c36d","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":11552,"license_type":"no_license","max_line_length":83,"num_lines":333,"path":"/tests/test_backend.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n\n\nimport os\nimport sys\nimport types\nimport json\nimport time\nfrom datetime import datetime\nfrom datetime import timedelta\nfrom tests import TestCase\n\n\nfrom motiky.logic.models import User,Post,UserLikeAsso,Report,Install,\\\n UserFollowAsso,Comment,Activity,Action,Tag,Tagging\n\nfrom motiky.logic import backend\n\nfrom motiky.configs import db,redis\n\nclass TestUserLogic(TestCase):\n\n def test_get_user(self):\n user = User(username='username01',photo_url='photo_url01',uid='weibo_id01')\n db.session.add(user)\n db.session.commit()\n\n _user = backend.get_user(user.id)\n assert _user['username'] == user.username\n\n\n def test_add_user(self):\n user = backend.add_user('username','photo_url','weibo_id')\n assert user['username'] == 'username'\n\n def test_set_user(self):\n user = backend.add_user('username','photo_url','weibo_id')\n _user = backend.set_user(user['id'],{'username':'username2',\n 'photo_url':'photo_url2'})\n assert _user['username'] == 'username2'\n\n def test_get_user_by_uid(self):\n user1 = backend.add_user('username01','photo_url01','weibo_id01')\n user2 = backend.add_user('username02','photo_url02','weibo_id02')\n \n user = backend.get_user_by_uid(user1['uid'])\n assert user['username'] == user1['username']\n\n users = backend.get_user_by_uid([user1['uid'],user2['uid']])\n assert len(users) == 2\n\n\n def test_follow_user(self):\n user1 = backend.add_user('username01','photo_url01','weibo_id01')\n user2 = backend.add_user('username02','photo_url02','weibo_id02')\n\n ret = backend.follow_user(user1['id'],user2['id'])\n assert ret > 0\n\n def test_unfollow_user(self):\n user1 = backend.add_user('username01','photo_url01','weibo_id01')\n user2 = backend.add_user('username02','photo_url02','weibo_id02')\n\n ret = backend.follow_user(user1['id'],user2['id'])\n\n ret = backend.unfollow_user(user1['id'],user2['id'])\n assert ret == True\n\n def test_is_following_user(self):\n user1 = backend.add_user('username01','photo_url01','weibo_id01')\n user2 = backend.add_user('username02','photo_url02','weibo_id02')\n\n backend.follow_user(user1['id'],user2['id'])\n ret = backend.is_following_user(user1['id'],user2['id'])\n assert ret == True\n\n def test_get_user_following(self):\n user1 = backend.add_user('username01','photo_url01','weibo_id01')\n user2 = backend.add_user('username02','photo_url02','weibo_id02')\n user3 = backend.add_user('username03','photo_url03','weibo_id03')\n\n backend.follow_user(user1['id'],user2['id'])\n backend.follow_user(user1['id'],user3['id'])\n\n users = backend.get_user_following(user1['id'])\n assert len(users) == 2\n\n count = backend.get_user_following_count(user1['id'])\n assert count == 2\n\n def test_get_user_follower(self):\n user1 = backend.add_user('username01','photo_url01','weibo_id01')\n user2 = backend.add_user('username02','photo_url02','weibo_id02')\n user3 = backend.add_user('username03','photo_url03','weibo_id03')\n\n backend.follow_user(user2['id'],user1['id'])\n backend.follow_user(user3['id'],user1['id'])\n\n users = backend.get_user_follower(user1['id'])\n assert len(users) == 2\n \n count = backend.get_user_follower_count(user1['id'])\n assert count == 2\n \n\nclass TestPostLogic(TestCase):\n\n def test_get_post(self):\n user = backend.add_user('username','photo_url','weibo_id')\n post = Post(title='title',author_id=user['id'],pic_small='pic_small')\n db.session.add(post)\n db.session.commit()\n\n _post = backend.get_post(post.id)\n assert _post['title'] == 'title'\n\n def test_add_post(self):\n user = backend.add_user('username','photo_url','weibo_id')\n post = backend.add_post('title',user['id'],'video_url',\n pic_small='pic_small')\n \n assert post['title'] == 'title'\n\n post = backend.set_post(post['id'],{'title':'title2'})\n assert post['title'] == 'title2'\n\n def test_get_user_post(self):\n user = backend.add_user('username','photo_url','weibo_id')\n post1 = backend.add_post('title1',user['id'],'video_url',\n pic_small='pic_small')\n post2 = backend.add_post('title2',user['id'],'video_url',\n pic_small='pic_small')\n \n posts = backend.get_user_post(user['id'])\n assert len(posts) == 2\n\n count = backend.get_user_post_count(user['id'])\n assert count == 2\n\n\n def test_get_user_liked_post(self):\n user1 = backend.add_user('username1','photo_url','weibo_id1')\n user2 = backend.add_user('username2','photo_url','weibo_id2')\n post1 = backend.add_post('title1',user1['id'],'video_url',\n pic_small='pic_small')\n post2 = backend.add_post('title2',user1['id'],'video_url',\n pic_small='pic_small')\n\n ula1 = UserLikeAsso(user_id=user2['id'],post_id=post1['id'])\n ula2 = UserLikeAsso(user_id=user2['id'],post_id=post2['id'])\n db.session.add(ula1)\n db.session.add(ula2)\n db.session.commit()\n\n posts = backend.get_user_liked_post(user2['id'])\n assert len(posts) == 2\n\n count = backend.get_user_liked_post_count(user2['id'])\n assert count == 2\n\n\n def test_add_like(self):\n user1 = backend.add_user('username1','photo_url','weibo_id1')\n post1 = backend.add_post('title1',user1['id'],'video_url',\n pic_small='pic_small')\n\n ret = backend.add_like(user1['id'],post1['id'])\n assert ret == 1\n\n ret = backend.del_like(user1['id'],post1['id'])\n assert ret == True\n\n def test_is_like_post(self):\n user1 = backend.add_user('username1','photo_url','weibo_id1')\n post1 = backend.add_post('title1',user1['id'],'video_url',\n pic_small='pic_small')\n post2 = backend.add_post('title2',user1['id'],'video_url',\n pic_small='pic_small')\n\n backend.add_like(user1['id'],post1['id'])\n backend.add_like(user1['id'],post2['id'])\n\n ret = backend.is_like_post(user1['id'],[post1['id'],post2['id']])\n assert ret[post1['id']] == True\n\n\nclass TestActivityLogic(TestCase):\n\n def test_add_activity(self):\n user1 = backend.add_user('username1','photo_url','weibo_id1')\n user2 = backend.add_user('username2','photo_url','weibo_id2')\n post1 = backend.add_post('title1',user1['id'],'video_url',\n pic_small='pic_small')\n post2 = backend.add_post('title2',user1['id'],'video_url',\n pic_small='pic_small')\n\n ac1 = {\n 'post_id':post1['id'],\n 'from_id':user1['id'],\n 'to_id':user2['id'],\n 'atype':'like'\n }\n ac2 = {\n 'post_id':post1['id'],\n 'from_id':user1['id'],\n 'to_id':user2['id'],\n 'atype':'comment'\n }\n\n ret = backend.add_activity(ac1)\n assert ret['to_id'] == user2['id']\n ret = backend.add_activity(ac2)\n\n rets = backend.get_activity_by_user(user2['id'])\n assert len(rets) == 2\n\n\nclass TestOtherLogic(TestCase):\n\n def test_new_install(self):\n user1 = backend.add_user('username1','photo_url','weibo_id1')\n device_token = '1234567890'\n install = backend.new_install(user1['id'],device_token)\n assert install['device_token'] == device_token\n\n install = backend.get_install_by_user(user1['id'])\n\n assert install['device_token'] == device_token\n\n install = backend.set_install(user1['id'],{'badge':20})\n print install\n assert install['badge'] == 20\n\n def test_add_file_data(self):\n st = backend.add_file_data(10,'1234567890')\n st = backend.add_file_data(10,'123243435454545')\n assert len(st) == 36\n\nclass TestCommentLogic(TestCase):\n\n def test_comment(self):\n user1 = backend.add_user('username1','photo_url','weibo_id1')\n user2 = backend.add_user('username2','photo_url','weibo_id2')\n post1 = backend.add_post('title1',user1['id'],'video_url',\n pic_small='pic_small')\n post2 = backend.add_post('title2',user1['id'],'video_url',\n pic_small='pic_small')\n\n \n comment1 = backend.add_comment(post1['id'],'comment1',user2['id'])\n assert comment1['post_id'] == post1['id']\n\n comment2 = backend.add_comment(post1['id'],'comment2',user2['id'])\n \n comments = backend.get_post_comment(post1['id'])\n\n assert len(comments) == 2\n \n ret = backend.get_post_comment_count(post1['id'])\n assert ret == 2\n\nclass TestTagLogic(TestCase):\n\n def test_tag(self):\n\n tag1 = Tag(name='tag1',show=True,pic_url='pic_url',\n recommended=True)\n tag2 = Tag(name='tag2',show=True,pic_url='pic_url',\n recommended=True)\n db.session.add(tag1)\n db.session.add(tag2)\n db.session.commit()\n\n tags = backend.get_all_tags()\n assert len(tags) == 2\n\n tags = backend.get_recommend_tags()\n assert len(tags) == 2\n\n tag = backend.get_tag(tag1.id)\n\n assert tag['name'] == 'tag1'\n \n user = backend.add_user('username','photo_url','weibo_id')\n post1 = backend.add_post('title1',user['id'],'video_url',\n pic_small='pic_small')\n post2 = backend.add_post('title2',user['id'],'video_url',\n pic_small='pic_small')\n\n tagging1 = Tagging(taggable_type='post',taggable_id=post1['id'],\n tag_id=tag1.id)\n tagging2 = Tagging(taggable_type='post',taggable_id=post2['id'],\n tag_id=tag1.id)\n \n db.session.add(tagging1)\n db.session.add(tagging2)\n db.session.commit()\n\n posts = backend.get_tag_post(tag1.id)\n assert len(posts) == 2\n\n post_count = backend.get_tag_post_count(tag1.id)\n assert post_count == 2\n \n \nclass TestFeedLogic(TestCase):\n\n def test_get_latest_feed(self):\n user1 = backend.add_user('username01','photo_url01','weibo_id01')\n user2 = backend.add_user('username02','photo_url02','weibo_id02')\n user3 = backend.add_user('username03','photo_url03','weibo_id03') \n user4 = backend.add_user('username04','photo_url04','weibo_id04')\n\n post1 = backend.add_post('title01',user1['id'],'video_url01',\n pic_small='pic_small01')\n post2 = backend.add_post('title02',user2['id'],'video_url02',\n pic_small='pic_small')\n post3 = backend.add_post('title03',user3['id'],'video_url03',\n pic_small='pic_small03')\n post4 = backend.add_post('title04',user4['id'],'video_url04',\n pic_small='pic_small04')\n\n backend.follow_user(user4['id'],user1['id'])\n backend.follow_user(user4['id'],user2['id'])\n \n\n ret = backend.get_latest_feed(user4['id'],limit=10,offset=0)\n assert len(ret) == 3\n\n backend.set_post(post3['id'],{'recommended':True})\n\n ret = backend.get_latest_feed(user4['id'],limit=10,offset=0)\n assert len(ret) == 4\n\n"},{"alpha_fraction":0.6107403635978699,"alphanum_fraction":0.6199555397033691,"avg_line_length":29.230770111083984,"blob_id":"d30c4dce8d52192569bcad07d392aea70a0d8377","content_id":"fbd7752fee2968032b3e0893709a42d06a9491d6","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":3147,"license_type":"no_license","max_line_length":90,"num_lines":104,"path":"/motiky/views/activity.py","repo_name":"imgarth/motiky","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# author: notedit <notedit@gmail.com>\n# date: 2013-04-10\n\nimport sys \nimport time\nimport logging\nimport traceback\nfrom datetime import datetime\n\nfrom flask import g\nfrom flask import request\nfrom flask import Blueprint\nfrom flask import redirect\nfrom flask import Response\nfrom flask import current_app\nfrom flask import session\nfrom flask import jsonify\nfrom flask import flash\nfrom flask.views import MethodView\nfrom flask.views import View\n\nfrom motiky import authutil\nfrom motiky.logic import backend\nfrom motiky.coreutil import BackendError\nfrom motiky.cacheutil import rcache\nfrom motiky.configs import rq,redis\n\ninstance = Blueprint('activity',__name__)\n\nACTIVITY_UPDATE_TIME_KEY = 'ACTIVITY::UPDATETIME::%(user_id)s'\n\n# atype follow like comment post_reco text\n\ndef filter_activity(ac):\n # todo\n if ac['atype'] in ('follow','like','comment'):\n _user = rcache(3600*24)(backend.get_user)(ac['from_id'])\n ac.update({'user':_user})\n\n if ac['atype'] in ('like','comment','post_reco'):\n _post = rcache(3600*24)(backend.get_post)(ac['post_id'])\n ac.update({'post':_post})\n\n if ac['atype'] in ('comment'):\n _comment = rcache(3600*24)(backend.get_comment)(ac['comment_id'])\n ac.update({'comment':_comment})\n\n return ac\n\nclass UserNewActivityCountView(MethodView):\n\n def get(self,user_id):\n activity_time_meta = redis.hgetall(ACTIVITY_UPDATE_TIME_KEY % \\\n {'user_id':user_id})\n try:\n last_update_time = int(activity_time_meta.get('last_update_time'))\n except:\n last_update_time = int(time.time())\n\n last_update_time = datetime.fromtimestamp(last_update_time)\n count = backend.get_new_activity_count(user_id,last_update_time)\n\n return jsonify(count=count)\n\nclass UserActivityView(MethodView):\n\n def get(self,user_id):\n acs = backend.get_activity_by_user(user_id)\n ac_list = []\n for ac in acs:\n try:\n ac = filter_activity(ac)\n except:\n traceback.print_exc()\n continue\n ac_list.append(ac)\n\n try:\n _user = backend.get_user(user_id)\n except BackendError,ex:\n traceback.print_exc()\n try:\n backend.set_install(user_id,{'badge':0})\n rq.enqueue('motiky.worker.apns_push',\n user_id=user_id,data={\n 'badge':0\n })\n except BackendError,ex:\n traceback.print_exc()\n\n redis.hset(ACTIVITY_UPDATE_TIME_KEY % {'user_id':user_id},\n 'last_update_time',int(time.time()))\n\n return jsonify(results=ac_list)\n\nuser_activity_func = UserActivityView.as_view('user_activity')\nuser_new_activity_count_func = UserNewActivityCountView.as_view('user_new_activity_count')\n\ninstance.add_url_rule('/user/<int:user_id>/activity',\n view_func=user_activity_func,methods=['GET'])\n\ninstance.add_url_rule('/user/<int:user_id>/activity/count',\n view_func=user_new_activity_count_func,methods=['GET'])\n\n\n\n"}],"string":"[\n {\n \"alpha_fraction\": 0.7269043922424316,\n \"alphanum_fraction\": 0.7269043922424316,\n \"avg_line_length\": 29.09756088256836,\n \"blob_id\": \"af107e8e6c0a0cf42fd3156070499fb8cdfbb94b\",\n \"content_id\": \"f1827a09f2d7d7029f35e7095ac3e7aab90b43fc\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1234,\n \"license_type\": \"no_license\",\n \"max_line_length\": 72,\n \"num_lines\": 41,\n \"path\": \"/manage.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import os\\nimport sys\\nfrom flask import current_app\\nfrom flask.ext.script import Manager,prompt,prompt_pass,\\\\\\n prompt_bool,prompt_choices\\nfrom flask.ext.script import Server\\nfrom werkzeug import generate_password_hash,check_password_hash\\n\\nfrom motiky import configs\\nfrom motiky.configs import db\\nfrom motiky import create_app\\n\\nfrom motiky.logic.models import CmsUser\\n\\napp = create_app(configs.ProductionConfig)\\nmanager = Manager(app)\\n\\n@manager.command\\ndef create_all():\\n if prompt_bool(\\\"Are you sure? You will init your database\\\"):\\n db.create_all()\\n\\n@manager.command\\ndef drop_all():\\n if prompt_bool(\\\"Are you sure? You will lose all your data!\\\"):\\n db.drop_all()\\n\\n@manager.option('-u','--username',dest='username',required=True)\\n@manager.option('-p','--password',dest='password',required=True)\\n@manager.option('-e','--email',dest='email',required=True)\\ndef createuser(username=None,password=None,email=None):\\n password = generate_password_hash(password)\\n cmsuser = CmsUser(username=username,password=password,email=email)\\n db.session.add(cmsuser)\\n db.session.commit()\\n print 'cms user was created'\\n\\nmanager.add_command('runserver',Server())\\n\\nif __name__ == '__main__':\\n manager.run()\\n\"\n },\n {\n \"alpha_fraction\": 0.6164383292198181,\n \"alphanum_fraction\": 0.6301369667053223,\n \"avg_line_length\": 13.199999809265137,\n \"blob_id\": \"66af4cec3e8040ef2cd67892faf6dd6cb705d2cc\",\n \"content_id\": \"681b615d2377c00f71e57fe4713360ce6e666ffd\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 73,\n \"license_type\": \"no_license\",\n \"max_line_length\": 33,\n \"num_lines\": 5,\n \"path\": \"/deploy.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\nimport sys\\n\\nfrom fabric.api import env,run,cd\\n\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.6363480091094971,\n \"alphanum_fraction\": 0.6397867798805237,\n \"avg_line_length\": 30.410810470581055,\n \"blob_id\": \"c834788ffe50a2e9b63458e485ac502a078aaf1e\",\n \"content_id\": \"89d4a0ebdcbc56da888eadbdd728f31b3f591f1f\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 5856,\n \"license_type\": \"no_license\",\n \"max_line_length\": 109,\n \"num_lines\": 185,\n \"path\": \"/motiky/logic/logic_user.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# author: notedit\\n# date: 2013-01-30\\n\\nimport types\\nimport traceback\\n\\n\\nfrom motiky.coreutil import BackendError,register,assert_error\\n\\nfrom motiky.logic.models import User,Post,UserFollowAsso\\n\\nfrom motiky.configs import db\\n\\n@register('get_user')\\ndef get_user(user_id):\\n multi = False\\n if type(user_id) == types.ListType:\\n assert_error(all([type(u) == types.IntType for u in user_id]),'ParamError')\\n multi = True\\n else:\\n assert_error(type(user_id) == types.IntType,'ParamError')\\n user_id = user_id,\\n\\n users = User.query.filter(User.id.in_(user_id)).all()\\n if not users:\\n raise BackendError('EmptyError','用户不存在')\\n\\n if multi:\\n return [u.json for u in users]\\n else:\\n return users[0].json\\n\\n@register('get_user_by_username')\\ndef get_user_by_username(username):\\n user = User.query.filter(User.username == username).first()\\n return user.json if user else {}\\n\\n@register('get_user_by_email')\\ndef get_user_by_email(email):\\n user = User.query.filter(User.email == email).first()\\n return user.json if user else {}\\n\\n@register('is_username_exist')\\ndef is_username_exist(username):\\n assert_error(type(username) == types.StringType,'ParamError')\\n return True if _check_username(username) else False\\n\\n@register('is_email_exist')\\ndef is_email_exist(email):\\n assert_error(type(email) == types.StringType,'ParamError')\\n return True if _check_email(email) else False\\n\\ndef _check_username(username):\\n u = User.query.filter(db.func.lower(User.username) == username).first()\\n return u\\n\\ndef _check_email(email):\\n u = User.query.filter(User.email == email).first()\\n return u\\n\\n\\n@register('add_user')\\ndef add_user(username,photo_url,uid,signature='',access_token=''):\\n assert_error(type(username)==types.StringType,'ParamError','用户昵称应该为字符串')\\n assert_error(photo_url == None or type(photo_url) == types.StringType,'ParamError')\\n assert_error(type(uid) == types.StringType,'ParamError')\\n\\n qd = {\\n 'username':username,\\n 'photo_url':photo_url or '',\\n 'uid':uid,\\n 'signature':signature,\\n 'access_token':access_token\\n }\\n\\n try:\\n user = User(**qd)\\n db.session.add(user)\\n db.session.commit()\\n except:\\n db.session.rollback()\\n raise BackendError('InternalError',traceback.format_exc())\\n\\n return user.json\\n\\n@register('set_user')\\ndef set_user(user_id,info_d):\\n assert_error(type(user_id) == types.IntType,'ParamError')\\n user = User.query.get(user_id)\\n try:\\n for k,v in info_d.items():\\n if v is not None:\\n setattr(user,k,v)\\n db.session.commit()\\n except:\\n db.session.rollback()\\n raise\\n else:\\n return user.json\\n\\n@register('get_user_by_uid')\\ndef get_user_by_uid(uid):\\n assert_error(type(uid) in (types.StringType,types.ListType),'ParamError')\\n multi = False\\n if type(uid) == types.ListType:\\n multi = True\\n else:\\n uid = uid,\\n\\n users = User.query.filter(User.uid.in_(uid)).all()\\n if len(users) == 0:\\n raise BackendError('EmptyError','用户不存在')\\n\\n if multi:\\n return [u.json for u in users]\\n else:\\n return users[0].json\\n\\n\\n@register('follow_user')\\ndef follow_user(fid,tid):\\n assert_error(all([type(_id) == types.IntType for _id in [fid,tid]]),'ParamError')\\n try:\\n asso = UserFollowAsso(user_id=fid,user_id_to=tid)\\n db.session.add(asso)\\n db.session.commit()\\n except:\\n db.session.rollback()\\n raise\\n else:\\n return asso.id\\n\\n@register('unfollow_user')\\ndef unfollow_user(fid,tid):\\n assert_error(all([type(_id) == types.IntType for _id in [fid,tid]]),'ParamError')\\n asso = UserFollowAsso.query.filter(db.and_(UserFollowAsso.user_id==fid,UserFollowAsso.user_id_to==tid)).\\\\\\n first()\\n if asso is None:\\n return\\n try:\\n db.session.delete(asso)\\n db.session.commit()\\n except:\\n db.session.rollback()\\n raise\\n else:\\n return True\\n\\n@register('is_following_user')\\ndef is_following_user(uid,uid_to):\\n if type(uid_to) == types.IntType:\\n _count = db.session.query(UserFollowAsso.id).\\\\\\n filter(db.and_(UserFollowAsso.user_id == uid,UserFollowAsso.user_id_to == uid_to)).count()\\n return True if _count > 0 else False\\n elif type(uid_to) == types.ListType:\\n follow_uids = db.session.query(UserFollowAsso.user_id_to).\\\\\\n filter(db.and_(UserFollowAsso.user_id == uid,UserFollowAsso.user_id_to.in_(uid_to))).all()\\n follow_uids = [u[0] for u in follow_uids]\\n ret_list = [(ret,ret in follow_uids) for ret in uid_to]\\n return dict(ret_list)\\n\\n@register('get_user_following')\\ndef get_user_following(user_id,limit=50,offset=0):\\n assert_error(type(user_id) == types.IntType,'ParamError')\\n follows = User.query.join(UserFollowAsso,User.id == UserFollowAsso.user_id_to).\\\\\\n filter(UserFollowAsso.user_id == user_id).limit(limit).offset(offset).all()\\n return [u.json for u in follows]\\n\\n@register('get_user_following_count')\\ndef get_user_following_count(user_id):\\n _count = UserFollowAsso.query.filter(UserFollowAsso.user_id == user_id).count()\\n return _count\\n\\n@register('get_user_follower')\\ndef get_user_follower(user_id,limit=50,offset=0):\\n assert_error(type(user_id) == types.IntType,'ParamError')\\n follows = User.query.join(UserFollowAsso,User.id == UserFollowAsso.user_id).\\\\\\n filter(UserFollowAsso.user_id_to == user_id).limit(limit).offset(offset).all()\\n return [u.json for u in follows]\\n\\n@register('get_user_follower_count')\\ndef get_user_follower_count(user_id):\\n _count = UserFollowAsso.query.filter(UserFollowAsso.user_id_to == user_id).count()\\n return _count\\n\\n\\n\\n\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.5649828314781189,\n \"alphanum_fraction\": 0.5919568538665771,\n \"avg_line_length\": 29.417909622192383,\n \"blob_id\": \"300d419e0fabe507946dfad635ddb266b67b2833\",\n \"content_id\": \"3c9b61b175177e87aa57cbd23ca971e4b12888b1\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2039,\n \"license_type\": \"no_license\",\n \"max_line_length\": 81,\n \"num_lines\": 67,\n \"path\": \"/tests/test_comment.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\n\\nimport os\\nimport sys\\nimport types\\nimport json\\nimport time\\nfrom datetime import datetime\\nfrom datetime import timedelta\\n\\nfrom StringIO import StringIO\\n\\nfrom tests import TestCase\\n\\n\\nfrom motiky.logic.models import User,Post,UserLikeAsso,Report,Install,\\\\\\n UserFollowAsso,Comment,Activity,Action\\n\\nfrom motiky.logic import backend\\n\\nfrom motiky.configs import db,redis\\n\\nclass TestComment(TestCase):\\n\\n\\n def test_comment_view(self):\\n\\n # post\\n user1 = backend.add_user('username01','photo_url01','weibo_id01')\\n headers = self.generate_header('weibo_id01')\\n post1 = backend.add_post('post01',user1['id'],\\n 'video_url','pic_small1')\\n\\n data = {\\n 'author_id':user1['id'],\\n 'content':'comment01',\\n 'post_id':post1['id']\\n }\\n\\n resp = self.client.post('/comment',data=json.dumps(data),headers=headers,\\n content_type='application/json')\\n\\n _data = json.loads(resp.data)\\n assert resp.status_code == 200\\n assert _data['content'] == 'comment01'\\n \\n # delete\\n resp = self.client.delete('/comment/%d'%_data['id'],\\n headers=headers,content_type='application/json')\\n print resp.data\\n assert resp.status_code == 204\\n\\n def test_post_comment_view(self):\\n\\n user1 = backend.add_user('username01','photo_url01','weibo_id01')\\n post1 = backend.add_post('post01',user1['id'],\\n 'video_url','pic_small1')\\n comment1 = backend.add_comment(post1['id'],'comment1',user1['id'])\\n comment2 = backend.add_comment(post1['id'],'comment2',user1['id'])\\n comment3 = backend.add_comment(post1['id'],'comment3',user1['id'])\\n\\n headers = self.generate_header('weibo_id01')\\n\\n resp = self.client.get('/post/%d/comment' % post1['id'],headers=headers)\\n data_get = json.loads(resp.data)\\n assert len(data_get['comments']) == 3\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.627364456653595,\n \"alphanum_fraction\": 0.6368222236633301,\n \"avg_line_length\": 24.901639938354492,\n \"blob_id\": \"6a66a454c757ca9390ea870ec606d73d852a7d73\",\n \"content_id\": \"658d593958e224a04953b7eba3bb6ee2928fc8f2\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1586,\n \"license_type\": \"no_license\",\n \"max_line_length\": 75,\n \"num_lines\": 61,\n \"path\": \"/motiky/views/tag.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# author: notedit <notedit@gmail.com>\\n# date: 2013-04-16\\n\\nimport sys \\nimport time\\nimport logging\\nimport flask\\nfrom flask import g\\nfrom flask import request\\nfrom flask import Blueprint\\nfrom flask import redirect\\nfrom flask import Response\\nfrom flask import current_app\\nfrom flask import session\\nfrom flask import jsonify\\nfrom flask import flash\\nfrom flask.views import MethodView\\nfrom flask.views import View\\n\\nfrom motiky import authutil\\nfrom motiky.logic import backend\\nfrom motiky.coreutil import BackendError\\nfrom motiky.configs import rq\\n\\ninstance = Blueprint('tag',__name__)\\n\\nclass TagView(MethodView):\\n\\n def get(self,tag_id):\\n try:\\n page = int(request.values.get('page'))\\n except:\\n page = 1\\n\\n limit = 10\\n offset = (page - 1) * 50\\n\\n tag = backend.get_tag(tag_id)\\n posts = backend.get_tag_post(tag_id,limit=limit,offset=offset)\\n count = backend.get_tag_post_count(tag_id)\\n\\n for post in posts:\\n try:\\n user = backend.get_user(post['author_id'])\\n post['user'] = user\\n except BackendError,ex:\\n continue\\n\\n return jsonify(tag=tag,posts=posts,count=count,page=page)\\n\\nclass TagsView(MethodView):\\n\\n def get(self):\\n tags = backend.get_recommend_tags()\\n return jsonify(results=tags)\\n\\ninstance.add_url_rule('/tag/<int:tag_id>',view_func=TagView.as_view('tag'),\\n methods=['GET',])\\ninstance.add_url_rule('/tags',view_func=TagsView.as_view('tags'),\\n methods=['GET',])\\n\\n\\n\\n\\n\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.5953288674354553,\n \"alphanum_fraction\": 0.5994598269462585,\n \"avg_line_length\": 27.475112915039062,\n \"blob_id\": \"21ac3ae4e1e4cffb0285b0dd7ea2c9c3cc154df3\",\n \"content_id\": \"758c33ff29a5a843b1077ee51c266ea47e39b9e5\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 6310,\n \"license_type\": \"no_license\",\n \"max_line_length\": 92,\n \"num_lines\": 221,\n \"path\": \"/motiky/logic/logic_post.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# author: notedit\\n# date: 2013-01-30\\n\\nimport types\\nimport traceback\\n\\nfrom motiky.coreutil import BackendError,register,assert_error\\n\\nfrom motiky.logic.models import User,Post,UserLikeAsso,UserPlayAsso\\n\\nfrom motiky.configs import db\\n\\n\\n@register('get_post')\\ndef get_post(post_id):\\n post = Post.query.get(post_id)\\n return post.json\\n\\n@register('add_post')\\ndef add_post(title,author_id,video_url,pic_small='',pic_big='',show=True,recommended=False):\\n assert_error(type(title) == types.StringType,'ParamError')\\n assert_error(type(author_id) == types.IntType,'ParamError')\\n assert_error(type(video_url) == types.StringType,'ParamError')\\n\\n qd = {\\n 'title':title,\\n 'author_id':author_id,\\n 'video_url':video_url,\\n 'pic_small':pic_small,\\n 'pic_big':pic_big,\\n 'show':show,\\n 'recommended':recommended,\\n }\\n try:\\n p = Post(**qd)\\n db.session.add(p)\\n db.session.commit()\\n except:\\n db.session.rollback()\\n raise BackendError('InternalError',traceback.format_exc())\\n return p.json\\n\\n\\n\\n@register('set_post')\\ndef set_post(post_id,pdict):\\n fd_list = ('title','pic_small','pic_big','author_id','show',\\n 'recommended','date_create','date_update','date_publish')\\n cset = set(pdict.keys())\\n if not cset.issubset(fd_list):\\n raise BackendError('ParamError','更新的字段不允许')\\n post = Post.query.get(post_id)\\n for k,v in pdict.items():\\n if v is not None:\\n setattr(post,k,v)\\n try:\\n db.session.commit()\\n except:\\n db.session.rollback()\\n raise \\n\\n return post.json\\n\\n\\n@register('get_latest_post')\\ndef get_latest_post(offset=0,limit=50):\\n posts = Post.query.filter(Post.show == True).order_by(Post.date_create.desc()).\\\\\\n limit(limit).offset(offset).all()\\n\\n _posts = []\\n for p in posts:\\n _u = p.user.json\\n _p = p.json\\n _p.update({'user':_u})\\n _posts.append(_p)\\n\\n return _posts\\n\\n\\n@register('get_post_count')\\ndef get_post_count():\\n count = Post.query.filter(Post.show == True).count()\\n return count\\n\\n@register('get_hot_post')\\ndef get_hot_post(offset=0,limit=50):\\n posts = Post.query.filter(Post.show == True).order_by(Post.visite_count.desc()).\\\\\\n limit(limit).offset(offset).all()\\n\\n _posts = []\\n for p in posts:\\n _u = p.user.json\\n _p = p.json\\n _p.update({'user':_u})\\n _posts.append(_p)\\n\\n return _posts\\n\\n@register('get_user_post')\\ndef get_user_post(user_id,offset=0,limit=20):\\n assert_error(offset >= 0,'ParamError')\\n posts = Post.query.filter(Post.author_id == user_id).\\\\\\n order_by(Post.date_create.desc()).\\\\\\n limit(limit).offset(offset).all()\\n\\n _posts = []\\n for p in posts:\\n _u = p.user.json\\n _p = p.json\\n _p.update({'user':_u})\\n _posts.append(_p)\\n\\n return _posts\\n\\n@register('get_user_post_count')\\ndef get_user_post_count(user_id):\\n count = Post.query.filter(Post.author_id == user_id).count()\\n return count\\n\\n\\n@register('get_user_liked_post')\\ndef get_user_liked_post(user_id,offset=0,limit=20):\\n assert_error(offset >= 0,'ParamError')\\n posts = Post.query.join(UserLikeAsso,Post.id == UserLikeAsso.post_id).\\\\\\n filter(UserLikeAsso.user_id == user_id).\\\\\\n order_by(UserLikeAsso.date_create.desc()).\\\\\\n limit(limit).offset(offset).all()\\n\\n _posts = []\\n for p in posts:\\n _u = p.user.json\\n _p = p.json\\n _p.update({'user':_u})\\n _posts.append(_p)\\n\\n return _posts\\n\\n@register('get_user_liked_post_count')\\ndef get_user_liked_post_count(user_id):\\n count = Post.query.join(UserLikeAsso,Post.id == UserLikeAsso.post_id).\\\\\\n filter(UserLikeAsso.user_id == user_id).count()\\n return count\\n\\n@register('get_post_liked_count')\\ndef get_post_liked_count(post_id):\\n count = UserLikeAsso.query.filter(UserLikeAsso.post_id == post_id).count()\\n return count\\n\\n@register('add_like')\\ndef add_like(user_id,post_id):\\n ula = UserLikeAsso()\\n ula.user_id = user_id\\n ula.post_id = post_id\\n try:\\n db.session.add(ula)\\n db.session.commit()\\n except:\\n db.session.rollback()\\n raise BackendError('InternalError',traceback.format_exc())\\n else:\\n return ula.id\\n\\n@register('del_like')\\ndef del_like(user_id,post_id):\\n assert_error(all([type(x) == types.IntType for x in [user_id,post_id]]),\\n 'ParamError')\\n ula = UserLikeAsso.query.filter(UserLikeAsso.user_id == user_id).\\\\\\n filter(UserLikeAsso.post_id == post_id).first()\\n if ula is None:\\n return\\n try:\\n db.session.delete(ula)\\n db.session.commit()\\n except:\\n db.session.rollback()\\n raise BackendError('InternalError',traceback.format_exc())\\n else:\\n return True\\n\\n\\n@register('add_play')\\ndef add_play(user_id,post_id):\\n assert_error(all([type(x) for x in [user_id,post_id]]),'ParamError')\\n ura = UserPlayAsso()\\n ura.user_id = user_id\\n ura.post_id = post_id\\n\\n try:\\n db.session.add(ura)\\n db.session.commit()\\n except:\\n db.session.rollback()\\n raise BackendError('InternalError',traceback.format_exc())\\n\\n@register('add_play_count')\\ndef add_play_count(post_id,count=1):\\n post = Post.query.get(post_id)\\n post.play_count += count\\n try:\\n db.session.commit()\\n except:\\n db.session.rollback()\\n raise BackendError('InternalError',traceback.format_exc())\\n else:\\n return post.json\\n\\n@register('is_like_post')\\ndef is_like_post(uid,post_id):\\n if type(post_id) == types.IntType:\\n _count = db.session.query(UserLikeAsso.id).\\\\\\n filter(db.and_(UserLikeAsso.user_id == uid,\\n UserLikeAsso.post_id == post_id)).count()\\n return True if _count > 0 else False\\n elif type(post_id) == types.ListType:\\n liked_post_ids = db.session.query(UserLikeAsso.post_id).\\\\\\n filter(db.and_(UserLikeAsso.user_id == uid,\\n UserLikeAsso.post_id.in_(post_id))).all()\\n liked_post_ids = [p[0] for p in liked_post_ids]\\n ret_list = [(ret,ret in liked_post_ids) for ret in post_id]\\n return dict(ret_list)\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.6081504821777344,\n \"alphanum_fraction\": 0.6394984126091003,\n \"avg_line_length\": 18.8125,\n \"blob_id\": \"0db275e96da3ac8c54639ff4dbeed880093ff5c0\",\n \"content_id\": \"f976ff54840815adf8b95b417163236878d9e532\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 319,\n \"license_type\": \"no_license\",\n \"max_line_length\": 86,\n \"num_lines\": 16,\n \"path\": \"/worker.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\nimport sys\\nimport rq\\nfrom rq import Queue,Connection,Worker\\n\\n\\n# why this? it can use the sqlalchemy's connection poll from rq Performance notes \\n# add by notedit 2013-01-24\\n\\nwith Connection():\\n\\n qs = map(rq.Queue, sys.argv[1:]) or [rq.Queue()]\\n \\n w = rq.Worker(qs)\\n w.work()\\n\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.7176923155784607,\n \"alphanum_fraction\": 0.7238461375236511,\n \"avg_line_length\": 27.866666793823242,\n \"blob_id\": \"9d86467a4dbb8d214aacba1fc541bfd58ee2d92c\",\n \"content_id\": \"badb46345ec26df994d81477fb0f0f3078fc84f6\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1300,\n \"license_type\": \"no_license\",\n \"max_line_length\": 84,\n \"num_lines\": 45,\n \"path\": \"/motiky/configs.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\nimport socket\\nimport datetime\\n\\nfrom redis import Redis\\nfrom rq import Connection,Queue\\nfrom flask.ext.redis import Redis as fRedis\\nfrom flask.ext.sqlalchemy import SQLAlchemy\\nfrom flask.ext.cache import Cache\\nfrom flask.ext.mail import Mail\\n\\ndb = SQLAlchemy()\\ncache = Cache()\\nmail = Mail()\\nredis = fRedis()\\nrq = Queue('motiky',connection=Redis())\\n\\nclass DefaultConfig(object):\\n\\n DEBUG = False\\n SECRET_KEY = 'lifeistooshorttowait'\\n APPLICATION_SECRET = 'lifeistooshorttowait'\\n SQLALCHEMY_DATABASE_URI = 'postgresql+psycopg2://user:password@localhost/motiky'\\n SQLALCHEMY_ECHO = False\\n\\nclass TestConfig(object):\\n CONFIG_TYPE = 'test'\\n SQLALCHEMY_DATABASE_URI = 'postgresql+psycopg2://user:password@localhost/test'\\n SQLALCHEMY_ECHO = False\\n APPLICATION_SECRET = 'lifeistooshorttowait'\\n CSRF_ENABLED = False\\n VIDEO_URL_PREFIX = 'http://localhost'\\n\\nclass DevConfig(object):\\n CONFIG_TYPE = 'dev'\\n SQLALCHEMY_DATABASE_URI = \\\\\\n 'postgresql+psycopg2://user:password@localhost/motiky'\\n\\nclass ProductionConfig(object):\\n CONFIG_TYPE = 'production'\\n SQLALCHEMY_ECHO = False\\n VIDEO_URL_PREFIX = 'http://motiky01.b0.upaiyun.com'\\n SQLALCHEMY_DATABASE_URI = 'postgresql+psycopg2://user:password@localhost/motiky'\\n DEBUG = True\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.7770270109176636,\n \"alphanum_fraction\": 0.7804054021835327,\n \"avg_line_length\": 16.294116973876953,\n \"blob_id\": \"63c63aa951b470390c442ad49eb0109f86d471e1\",\n \"content_id\": \"868a9ff3fb6b7a2cb3c251e8d3aa72f2db4d633a\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 296,\n \"license_type\": \"no_license\",\n \"max_line_length\": 52,\n \"num_lines\": 17,\n \"path\": \"/motiky/logic/__init__.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\nimport logic_user\\nimport logic_post\\nimport logic_action\\nimport logic_activity\\nimport logic_feed\\nimport logic_tag\\nimport logic_comment\\nimport logic_other\\n\\n# import some other logic here\\n\\n\\nfrom motiky import coreutil\\n\\nbackend = coreutil.Backend(coreutil.backend_mapping)\\n\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.6236559152603149,\n \"alphanum_fraction\": 0.6344085931777954,\n \"avg_line_length\": 14.166666984558105,\n \"blob_id\": \"2104f689436bfe87e117ff3e92e3ae5b96655a5c\",\n \"content_id\": \"27b8bfd15598f313d4fc0962ab6954faf730d01b\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 93,\n \"license_type\": \"no_license\",\n \"max_line_length\": 27,\n \"num_lines\": 6,\n \"path\": \"/motiky/helpers.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# author: notedit <notedit@gmail.com>\\n\\nimport functools\\n\\nfrom flask import g\\n\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.5972937941551208,\n \"alphanum_fraction\": 0.6198453903198242,\n \"avg_line_length\": 29.372549057006836,\n \"blob_id\": \"a14d75e316111a7b69563931b908f42c3adddc44\",\n \"content_id\": \"255f88554a507aac43e5f7d7b44d44af614292a4\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1552,\n \"license_type\": \"no_license\",\n \"max_line_length\": 87,\n \"num_lines\": 51,\n \"path\": \"/tests/test_tag.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\n\\nimport os\\nimport sys\\nimport types\\nimport json\\nimport time\\nfrom datetime import datetime\\nfrom datetime import timedelta\\n\\nfrom tests import TestCase\\n\\n\\nfrom motiky.logic.models import User,Post,UserLikeAsso,Report,Install,\\\\\\n UserFollowAsso,Comment,Activity,Action,Tag,Tagging\\n\\nfrom motiky.logic import backend\\n\\nfrom motiky.configs import db,redis\\n\\nclass TestTag(TestCase):\\n\\n\\n def test_tag_view(self):\\n tag1 = Tag(name='tag1',show=True,pic_url='pic_url',\\n recommended=True)\\n tag2 = Tag(name='tag2',show=True,pic_url='pic_url',\\n recommended=True)\\n db.session.add(tag1)\\n db.session.add(tag2)\\n db.session.commit()\\n\\n user1 = backend.add_user('username01','photo_url01','weibo_id01')\\n post1 = backend.add_post('post01',user1['id'],\\n 'video_url','pic_small1')\\n post2 = backend.add_post('post02',user1['id'],\\n 'video_url','pic_small2')\\n tagging1 = Tagging(taggable_type='post',taggable_id=post1['id'],tag_id=tag1.id)\\n tagging2 = Tagging(taggable_type='post',taggable_id=post2['id'],tag_id=tag1.id)\\n\\n headers = self.generate_header('weibo_id01')\\n # get\\n resp = self.client.get('/tag/%d'% tag1.id,headers=headers)\\n data_get = json.loads(resp.data)\\n assert data_get['tag']['name'] == 'tag1'\\n\\n # get tags \\n resp = self.client.get('/tags',headers=headers)\\n data_get = json.loads(resp.data)\\n assert len(data_get['results']) == 2\\n\\n\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.6004018187522888,\n \"alphanum_fraction\": 0.6092841029167175,\n \"avg_line_length\": 33.630035400390625,\n \"blob_id\": \"d987aa5a5cb04fe4048ffbe31d9f8a39f3fc8b11\",\n \"content_id\": \"8a92fc1229e9c9403bd73e928e1d6f4408e1d7b7\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 9457,\n \"license_type\": \"no_license\",\n \"max_line_length\": 82,\n \"num_lines\": 273,\n \"path\": \"/motiky/logic/models.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\n\\n# add your models here\\nimport os\\nimport uuid\\nimport contextlib\\nfrom datetime import datetime\\n\\nfrom flask import current_app\\nfrom werkzeug import cached_property\\nfrom sqlalchemy.dialects.postgresql import ARRAY,UUID\\n\\nfrom motiky.configs import db,DefaultConfig\\n\\nDATE_FMT = '%Y-%m-%d %H:%M:%S'\\nDATE_DEFAULT = '2013-05-30 12:00:00'\\n\\ndef format_date(date):\\n return date.strftime(DATE_FMT) if date else DATE_DEFAULT\\n\\nclass User(db.Model):\\n\\n __tablename__ = 'user_info' \\n id = db.Column(db.Integer,primary_key=True)\\n username = db.Column(db.String(50))\\n email = db.Column(db.String(50),unique=True)\\n photo_url = db.Column(db.String(100))\\n signature = db.Column(db.String(255))\\n status = db.Column(db.String(20))\\n uid = db.Column(db.String(100),index=True,unique=True)\\n push_on = db.Column(db.Boolean,default=True)\\n access_token = db.Column(db.String(128))\\n date_create = db.Column(db.DateTime,default=datetime.now)\\n date_update = db.Column(db.DateTime,default=datetime.now)\\n\\n @cached_property\\n def json(self):\\n return dict(id=self.id,\\n username=self.username,\\n email=self.email,\\n photo_url=self.photo_url,\\n signature=self.signature,\\n status=self.status,\\n uid=str(self.uid),\\n push_on=self.push_on,\\n access_token=self.access_token,\\n date_create=format_date(self.date_create),\\n date_update=format_date(self.date_update))\\n\\n\\nclass Post(db.Model):\\n\\n __tablename__ = 'post'\\n id = db.Column(db.Integer,primary_key=True)\\n title = db.Column(db.String(300))\\n pic_small = db.Column(db.String(255))\\n pic_big = db.Column(db.String(255))\\n video_url = db.Column(db.String(255))\\n author_id = db.Column(db.Integer,db.ForeignKey(User.id),index=True)\\n show = db.Column(db.Boolean,default=True,index=True)\\n recommended = db.Column(db.Boolean,default=False,index=True)\\n play_count = db.Column(db.Integer,default=0)\\n date_create = db.Column(db.DateTime,default=datetime.now)\\n date_update = db.Column(db.DateTime,default=datetime.now)\\n date_publish = db.Column(db.DateTime,default=datetime.now)\\n user = db.relation(User, innerjoin=True, lazy=\\\"joined\\\")\\n\\n @cached_property\\n def json(self):\\n video_prefix = current_app.config.get('VIDEO_URL_PREFIX') if current_app \\\\\\n else DefaultConfig.VIDEO_URL_PREFIX\\n return dict(id=self.id,\\n title=self.title,\\n pic_big=self.pic_big,\\n pic_small=os.path.join(video_prefix,self.pic_small or ''),\\n video_url=os.path.join(video_prefix,self.video_url or ''),\\n author_id=self.author_id,\\n show=self.show,\\n recommended=self.recommended,\\n play_count=self.play_count,\\n date_create=format_date(self.date_create),\\n date_update=format_date(self.date_update),\\n date_publish=format_date(self.date_publish))\\n\\n\\nclass Report(db.Model):\\n\\n __tablename__ = 'report'\\n id = db.Column(db.Integer,primary_key=True)\\n user_id = db.Column(db.Integer,db.ForeignKey(User.id),index=True)\\n post_id = db.Column(db.Integer,db.ForeignKey(Post.id),index=True)\\n user = db.relation(User,innerjoin=True,lazy='joined')\\n post = db.relation(Post,innerjoin=True,lazy='joined')\\n date_create = db.Column(db.DateTime,default=datetime.now)\\n\\n\\nclass Install(db.Model):\\n\\n __tablename__ = 'install'\\n id = db.Column(db.Integer,primary_key=True)\\n user_id = db.Column(db.Integer,db.ForeignKey(User.id),index=True,unique=True)\\n version = db.Column(db.String(20))\\n badge = db.Column(db.Integer,default=0)\\n device_token = db.Column(db.String(100),index=True)\\n device_type = db.Column(db.String(20))\\n date_create = db.Column(db.DateTime,default=datetime.now)\\n\\n @property\\n def json(self):\\n return dict(id=self.id,\\n user_id=self.user_id,\\n version=self.version,\\n badge=self.badge,\\n device_token=self.device_token,\\n device_type=self.device_type,\\n date_create=format_date(self.date_create))\\n\\n\\nclass UserFollowAsso(db.Model):\\n\\n __tablename__ = 'user_follow_asso'\\n id = db.Column(db.Integer,primary_key=True)\\n user_id = db.Column(db.Integer,db.ForeignKey(User.id),index=True)\\n user_id_to = db.Column(db.Integer,db.ForeignKey(User.id),index=True)\\n date_create = db.Column(db.DateTime,default=datetime.now)\\n\\n __table_args__ = (\\n db.UniqueConstraint('user_id','user_id_to'),\\n )\\n\\n\\nclass UserLikeAsso(db.Model):\\n \\n __tablename__ = 'user_like_asso'\\n id = db.Column(db.Integer,primary_key=True)\\n user_id = db.Column(db.Integer,db.ForeignKey(User.id),index=True)\\n post_id = db.Column(db.Integer,db.ForeignKey(Post.id),index=True)\\n date_create = db.Column(db.DateTime,default=datetime.now)\\n\\n __table_args__ = (\\n db.UniqueConstraint('user_id','post_id'),\\n )\\n\\nclass UserPlayAsso(db.Model):\\n\\n __tablename__ = 'user_play_asso'\\n id = db.Column(db.Integer,primary_key=True)\\n user_id = db.Column(db.Integer)\\n post_id = db.Column(db.Integer)\\n date_create = db.Column(db.DateTime,default=datetime.now)\\n\\n\\nclass Comment(db.Model):\\n\\n __tablename__ = 'comment'\\n id = db.Column(db.Integer,primary_key=True)\\n post_id = db.Column(db.Integer,index=True)\\n author_id = db.Column(db.Integer,db.ForeignKey(User.id))\\n content = db.Column(db.String(1000))\\n show = db.Column(db.Boolean,default=True)\\n date_create = db.Column(db.DateTime,default=datetime.now)\\n\\n @cached_property\\n def json(self):\\n return dict(id=self.id,\\n post_id=self.post_id,\\n author_id=self.author_id,\\n content=self.content,\\n show=self.show,\\n date_create=format_date(self.date_create))\\n\\n\\nclass Activity(db.Model):\\n\\n __tablename__ = 'activity'\\n id = db.Column(db.Integer,primary_key=True)\\n post_id = db.Column(db.Integer)\\n comment_id = db.Column(db.Integer)\\n from_id = db.Column(db.Integer)\\n to_id = db.Column(db.Integer)\\n atype = db.Column(db.String(20))\\n # atype follow like comment post_reco text \\n date_create = db.Column(db.DateTime,default=datetime.now)\\n\\n @cached_property\\n def json(self):\\n return dict(id=self.id,\\n post_id=self.post_id,\\n comment_id=self.comment_id,\\n from_id=self.from_id,\\n to_id=self.to_id,\\n atype=self.atype,\\n date_create=format_date(self.date_create))\\n\\n\\nclass Action(db.Model):\\n\\n __tablename__ = 'action'\\n id = db.Column(db.Integer,primary_key=True)\\n post_id = db.Column(db.Integer)\\n user_id = db.Column(db.Integer,index=True)\\n atype = db.Column(db.String(20),index=True)\\n payload = db.Column(db.String(255))\\n date_create = db.Column(db.DateTime,default=datetime.now)\\n\\n @cached_property\\n def json(self):\\n return dict(id=self.id,\\n post_id=self.post_id,\\n user_id=self.user_id,\\n atype=self.atype,\\n payload=self.payload,\\n date_create=format_date(self.date_create))\\n\\n\\nclass Tag(db.Model):\\n\\n __tablename__ = 'tag'\\n id = db.Column(db.Integer,primary_key=True)\\n name = db.Column(db.String(255),index=True)\\n show = db.Column(db.Boolean,default=True)\\n pic_url = db.Column(db.String(255))\\n order_seq = db.Column(db.Integer,default=0)\\n recommended = db.Column(db.Boolean,default=False)\\n date_create = db.Column(db.DateTime,default=datetime.now)\\n \\n @cached_property\\n def json(self):\\n return dict(id=self.id,\\n name=self.name,\\n show=self.show,\\n pic_url=self.pic_url,\\n order_seq=self.order_seq,\\n recommended=self.recommended,\\n date_create=format_date(self.date_create))\\n\\n\\nclass Tagging(db.Model):\\n\\n __tablename__ = 'tagging'\\n id = db.Column(db.Integer,primary_key=True)\\n taggable_type = db.Column(db.String(20))\\n taggable_id = db.Column(db.Integer)\\n tag_id = db.Column(db.Integer)\\n user_id = db.Column(db.Integer)\\n date_create = db.Column(db.DateTime,default=datetime.now)\\n\\n @cached_property\\n def json(self):\\n return dict(id=self.id,\\n taggable_type=self.taggable_type,\\n taggalbe_id=self.taggable_id,\\n tag_id=self.tag_id,\\n user_id=self.user_id,\\n date_create=format_date(self.date_create))\\n\\n\\nclass Storage(db.Model):\\n __tablename__ = 'storage'\\n id = db.Column(UUID(),default=lambda:str(uuid.uuid4()),primary_key=True)\\n file_md5 = db.Column(db.String(80))\\n file_size = db.Column(db.Integer)\\n date_create = db.Column(db.DateTime,default=datetime.now)\\n\\n\\nclass CmsUser(db.Model):\\n __tablename__ = 'cms_user'\\n id = db.Column(db.Integer,primary_key=True)\\n username = db.Column(db.String(50))\\n email = db.Column(db.String(50))\\n password = db.Column(db.String(80))\\n date_create = db.Column(db.DateTime,default=datetime.now)\\n\\n\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.48322147130966187,\n \"alphanum_fraction\": 0.5402684807777405,\n \"avg_line_length\": 22.84000015258789,\n \"blob_id\": \"e0da33bb9642d0ac451f41ec560dc02edbfb9d5b\",\n \"content_id\": \"f4aff616b7f2ab9bfcfad4ce6843a8ab5b4ceb5f\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Shell\",\n \"length_bytes\": 596,\n \"license_type\": \"no_license\",\n \"max_line_length\": 88,\n \"num_lines\": 25,\n \"path\": \"/ctlapp.sh\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#! /usr/bin/env bash\\n\\n# Author: liulianxiang <notedit@gmail.com>\\n\\n\\nMAINMODULE=manage:app\\n\\ncase $1 in\\n start)\\n exec gunicorn -D -w 4 -k gevent -p /tmp/motiky.pid -b 127.0.0.1:9090 $MAINMODULE\\n ;;\\n stop)\\n kill -INT `cat /tmp/motiky.pid`\\n ;;\\n restart)\\n kill -INT `cat /tmp/motiky.pid`\\n exec gunicorn -D -w 4 -k gevent -p /tmp/motiky.pid -b 127.0.0.1:9090 $MAINMODULE\\n ;;\\n debug)\\n exec gunicorn -w 4 -p /tmp/motiky.pid -b 127.0.0.1:9090 $MAINMODULE\\n ;;\\n *)\\n echo \\\"./ctlapp.sh start | stop | debug | debug\\\"\\n ;;\\nesac\\n\"\n },\n {\n \"alpha_fraction\": 0.5481978058815002,\n \"alphanum_fraction\": 0.5892707705497742,\n \"avg_line_length\": 24.869565963745117,\n \"blob_id\": \"b8e37b412fed8edd5ae4b9bb8fd2db03092468e6\",\n \"content_id\": \"01f77c2b367a8825549b51fc917d565c41bfee83\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1207,\n \"license_type\": \"no_license\",\n \"max_line_length\": 94,\n \"num_lines\": 46,\n \"path\": \"/motiky/strutil.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\nimport re\\nimport os\\nimport sys\\nimport time\\nimport datetime\\nfrom email.utils import formatdate\\n\\ndef extract_tags(s):\\n tags = re.findall(r'''#(\\\\w+)?#''',s)\\n return set(tags) if tags else []\\n\\ndef read_data(_file):\\n file_data = ''\\n data = _file.read(8192)\\n while data:\\n file_data += data\\n data = _file.read(8192)\\n return file_data\\n\\ndef cookie_date(epoch_seconds=None):\\n rfcdate = formatdate(epoch_seconds)\\n return '%s-%s-%s GMT' % (rfcdate[:7], rfcdate[8:11], rfcdate[12:25])\\n\\ndef int2path(uint,baseurl,extname):\\n \\\"\\\"\\\"将32bit正整数转换为path\\\"\\\"\\\"\\n file_key = ''\\n for i in range(6):\\n uint,remainder = divmod(uint,36)\\n if remainder < 10:\\n file_key = chr(remainder+48) + file_key\\n else:\\n file_key = chr(remainder+97-10) + file_key\\n fullurl = os.path.join(baseurl,file_key[0:2],file_key[2:4],file_key[4:6],file_key+extname)\\n return fullurl\\n\\ndef int2ukey(uint):\\n ukey = ''\\n for i in range(6):\\n uint,remainder = divmod(uint,36)\\n if remainder < 10:\\n ukey = chr(remainder+48) + ukey\\n else:\\n ukey = chr(remainder+97-10) + ukey\\n return ukey\\n\\n\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.6337719559669495,\n \"alphanum_fraction\": 0.640350878238678,\n \"avg_line_length\": 27.046154022216797,\n \"blob_id\": \"607432e94a05538b489f9e4dfdc818a2e034d15c\",\n \"content_id\": \"073b75da79b53e772ecea4964c4c4d78c43f9572\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1824,\n \"license_type\": \"no_license\",\n \"max_line_length\": 70,\n \"num_lines\": 65,\n \"path\": \"/motiky/logic/logic_other.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# author: notedit\\n# date: 2013-02-01\\n\\nimport types\\nimport traceback\\n\\nfrom motiky.coreutil import BackendError,register,assert_error\\n\\nfrom motiky.logic.models import User,Post,Install,Storage\\n\\nfrom motiky.configs import db\\n\\n\\n@register('get_install_by_user')\\ndef get_install_by_user(user_id):\\n _in = Install.query.filter(Install.user_id == user_id).first()\\n if _in is None:\\n raise BackendError('EmptyError','install do not exit')\\n return _in.json\\n\\n@register('new_install')\\ndef new_insall(user_id,device_token,version='',device_type=''):\\n assert_error(type(user_id) == types.IntType,'ParamError')\\n assert_error(type(device_token) == types.StringType,'ParamError')\\n \\n install = Install(user_id=user_id,\\n device_token=device_token,\\n version=version,\\n device_type=device_type)\\n\\n try:\\n db.session.add(install)\\n db.session.commit()\\n except:\\n db.session.rollback()\\n raise\\n return install.json\\n\\n@register('set_install')\\ndef set_install(user_id,idict):\\n install = Install.query.filter(Install.user_id == user_id).first()\\n if install is None:\\n raise BackendError('EmptyError','install does not exist')\\n for k,v in idict.items():\\n if v:\\n setattr(install,k,v)\\n try:\\n db.session.commit()\\n except:\\n db.session.rollback()\\n raise BackendError('InternalError',traceback.format_exc())\\n else:\\n return install.json\\n\\n@register('add_file_data')\\ndef add_file_data(file_size,file_md5):\\n st = Storage(file_size=file_size,file_md5=file_md5)\\n try:\\n db.session.add(st)\\n db.session.commit()\\n except:\\n db.session.rollback()\\n raise BackendError('InternalError',traceback.format_exc())\\n return st.id\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.6742061972618103,\n \"alphanum_fraction\": 0.6776859760284424,\n \"avg_line_length\": 23.978260040283203,\n \"blob_id\": \"fb282654745a7e94459162f77ae1bab2775839d0\",\n \"content_id\": \"50eb5b66074eae82f0c0c8a457b8d21d7073235b\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2299,\n \"license_type\": \"no_license\",\n \"max_line_length\": 84,\n \"num_lines\": 92,\n \"path\": \"/motiky/application.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\n\\nimport os\\nimport logging\\nimport hmac\\n\\nfrom flask import g\\nfrom flask import Flask\\nfrom flask import request\\nfrom flask import make_response\\nfrom flask import session\\n\\nfrom motiky import configs\\nfrom motiky.configs import db,cache,mail,redis\\n\\nfrom motiky import logic\\nfrom motiky import authutil\\nfrom motiky.logic import backend\\nfrom motiky.coreutil import BackendError\\n\\nfrom motiky.views import user,post,tag,feed,\\\\\\n activity,comment\\n\\n# add some other view\\n\\n__all__ = ['create_app']\\n\\n\\nDEFAULT_APP_NAME = 'motiky'\\n\\n\\ndef create_app(config=None,app_name=None):\\n \\n if app_name is None:\\n app_name = DEFAULT_APP_NAME\\n \\n app = Flask(app_name)\\n\\n configure_app(app,config)\\n configure_db(app)\\n configure_blueprints(app)\\n configure_cache(app)\\n configure_handler(app)\\n return app\\n\\ndef configure_app(app,config):\\n app.config.from_object(configs.DefaultConfig())\\n\\n if config is not None:\\n app.config.from_object(config)\\n\\n app.config.from_envvar('APP_CONFIG',silent=True)\\n\\ndef configure_db(app):\\n db.init_app(app)\\n\\ndef configure_cache(app):\\n redis.init_app(app)\\n\\ndef configure_handler(app):\\n\\n @app.before_request\\n def authorize():\\n print request.headers\\n if request.path.startswith('/admin'):\\n return\\n\\n token = request.headers.get('X-MOTIKY-TOKEN') or ''\\n tokens = token.split('|')\\n if len(tokens) != 3:\\n print 'unvalid request'\\n response = make_response('unvalid request',403)\\n return response\\n\\n ukey,_time,signature = tokens\\n print ukey,_time,signature\\n sign = hmac.new(app.config.get('APPLICATION_SECRET'),ukey+_time).hexdigest()\\n if sign != signature:\\n print 'sian != signature unvalid request'\\n response = make_response('unvalid request',403)\\n return response\\n g.ukey = ukey\\n\\n\\ndef configure_blueprints(app):\\n app.register_blueprint(user.instance,url_prefix=None)\\n app.register_blueprint(post.instance,url_prefix=None)\\n app.register_blueprint(tag.instance,url_prefix=None)\\n app.register_blueprint(feed.instance,url_prefix=None)\\n app.register_blueprint(comment.instance,url_prefix=None)\\n app.register_blueprint(activity.instance,url_prefix=None)\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.5593220591545105,\n \"alphanum_fraction\": 0.564769983291626,\n \"avg_line_length\": 25.206348419189453,\n \"blob_id\": \"0f4d6b8fbed035b4f9bfb485b11066a3cac35fc9\",\n \"content_id\": \"e6f3b2150aaa609d766e2064dac5dbf384503ac0\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1702,\n \"license_type\": \"no_license\",\n \"max_line_length\": 74,\n \"num_lines\": 63,\n \"path\": \"/motiky/authutil.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\nimport os\\nimport sys\\nimport time\\nimport hmac\\nimport datetime\\nimport hashlib\\nfrom hashlib import sha1,md5\\n\\nimport strutil\\n\\nfrom flask import g,request,redirect,session\\nfrom flask import current_app as app\\n\\nfrom motiky.configs import db,redis\\nfrom motiky.logic.models import User\\n\\ndef user_required(f):\\n \\\"\\\"\\\"必须登陆后才能访问的视图\\\"\\\"\\\"\\n def decorator(*args,**kwargs):\\n ukey = g.ukey\\n if not ukey:\\n return make_response('need a user',403)\\n rp = redis.pipeline()\\n rp.exists('USER-UKEY::%s'%ukey)\\n rp.get('USER-UKEY::%s'%ukey)\\n res = iter(rp.execute())\\n \\n if not res.next():\\n # redis 中不存在 插数据库\\n user = db.session.query(User).filter(User.uid == ukey).first()\\n if user is None:\\n res = make_response('the user does not exist',403)\\n return res\\n g.user_id = user.id\\n rp.set('USER-UKEY::%s'%ukey,user.id)\\n rp.execute()\\n else:\\n g.user_id = int(res.next())\\n return f(*args,**kwargs)\\n return decorator\\n\\ndef get_user_id(ukey):\\n \\\"\\\"\\\"根据ukey来获取user_id\\\"\\\"\\\"\\n if not ukey:\\n return None\\n rp = redis.pipeline()\\n rp.exists('USER-UKEY::%s'%ukey)\\n rp.get('USER-UKEY::%s'%ukey)\\n res = iter(rp.execute())\\n\\n user_id = None\\n if not res.next():\\n user = db.session.query(User).filter(User.uid == ukey).first()\\n if user is None:\\n return None\\n g.user_id = user_id = user.id\\n rp.set('USER-UKEY::%s'%ukey,user.id)\\n rp.execute()\\n else:\\n g.user_id = user_id = int(res.next())\\n return user_id\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.7145413756370544,\n \"alphanum_fraction\": 0.7185682058334351,\n \"avg_line_length\": 30.899999618530273,\n \"blob_id\": \"16c684214b02cf6b781ebd363234451f7d4b3407\",\n \"content_id\": \"852cb43aab5a3278d60d68d46c9d75b05a9e42d5\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2235,\n \"license_type\": \"no_license\",\n \"max_line_length\": 67,\n \"num_lines\": 70,\n \"path\": \"/motiky/schema.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\n# the schema for motiky's api\\n\\nimport colander\\nfrom datetime import datetime\\nfrom colander import SchemaNode,MappingSchema,SequenceSchema\\nfrom colander import Int,Date,String,Bool,DateTime\\nfrom colander import Range,Length\\n\\nclass IdListSchema(SequenceSchema):\\n id = SchemaNode(Int(),validator=Range(min=1))\\n\\nclass StrListSchema(SequenceSchema):\\n _str = SchemaNode(String())\\n\\nclass LimitOffsetSchema(MappingSchema):\\n offset = SchemaNode(Int())\\n limit = SchemaNode(Int())\\n\\nclass NewUserSchema(MappingSchema):\\n uid = SchemaNode(String())\\n access_token = SchemaNode(String(),missing=u'')\\n\\nclass UpdateUserSchema(MappingSchema):\\n username = SchemaNode(String(encoding='utf-8'),missing=None)\\n photo_url = SchemaNode(String(encoding='utf-8'),missing=None)\\n signature = SchemaNode(String(encoding='utf-8'),missing=None)\\n access_token = SchemaNode(String(encoding='utf-8'),missing=u'')\\n status = SchemaNode(String(encoding='utf-8'),missing=None)\\n date_update = SchemaNode(DateTime(),missing=None)\\n\\nclass UserFollowSchema(MappingSchema):\\n user_ids = IdListSchema()\\n\\nclass InstallSchema(MappingSchema):\\n device_type = SchemaNode(String())\\n device_token = SchemaNode(String())\\n version = SchemaNode(String())\\n user_id = SchemaNode(Int())\\n\\n\\nclass PushSchema(MappingSchema):\\n user_id = SchemaNode(Int())\\n install_id = SchemaNode(String())\\n action = SchemaNode(String())\\n \\nclass NewPostSchema(MappingSchema):\\n title = SchemaNode(String(),missing=None)\\n author_id = SchemaNode(Int())\\n #tag_id = SchemaNode(Int(),missing=None)\\n\\nclass UpdatePostSchema(MappingSchema):\\n title = SchemaNode(String(encoding='utf-8'),missing=None)\\n author_id = SchemaNode(Int(),missing=None)\\n pic_small = SchemaNode(String(encoding='utf-8'),missing=None)\\n date_update = SchemaNode(DateTime(),missing=datetime.now())\\n\\nclass NewCommentSchema(MappingSchema):\\n post_id = SchemaNode(Int())\\n author_id = SchemaNode(Int())\\n content = SchemaNode(String())\\n\\nclass PostLikeSchema(MappingSchema):\\n user_id = SchemaNode(Int())\\n post_id = SchemaNode(Int())\\n\\nclass PostUnlikeSchema(MappingSchema):\\n user_id = SchemaNode(Int())\\n post_id = SchemaNode(Int())\\n\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.6540540456771851,\n \"alphanum_fraction\": 0.6702702641487122,\n \"avg_line_length\": 18.034482955932617,\n \"blob_id\": \"6582964f86e55d3942b8e1f94492da53391b38f2\",\n \"content_id\": \"12c61cd37b00c6f61f2e75cc7dc1e6a037fa5441\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 555,\n \"license_type\": \"no_license\",\n \"max_line_length\": 66,\n \"num_lines\": 29,\n \"path\": \"/motiky/logic/logic_action.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# author: notedit\\n# date: 2013-01-30\\n\\nimport types\\nimport traceback\\n\\nfrom motiky.coreutil import BackendError,register,assert_error\\n\\nfrom motiky.logic.models import User,Post,Action\\n\\nfrom motiky.configs import db\\n\\n\\n\\n@register('add_action')\\ndef add_action(ainfo={}):\\n action = Action(**ainfo)\\n try:\\n db.session.add(action)\\n db.session.commit()\\n except:\\n db.session.rollback()\\n raise BackendError('InternalError',traceback.format_exc())\\n else:\\n return action.json\\n\\n\\n# add some other\\n\\n\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.5522071123123169,\n \"alphanum_fraction\": 0.5645161271095276,\n \"avg_line_length\": 29.545454025268555,\n \"blob_id\": \"0c8967172f0dc89cde3a49a2a3843e28ebd1843b\",\n \"content_id\": \"ade8c0f483e16b1921b29bbb00b075f588d8558a\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2356,\n \"license_type\": \"no_license\",\n \"max_line_length\": 80,\n \"num_lines\": 77,\n \"path\": \"/tests/test_user.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\n\\nimport os\\nimport sys\\nimport types\\nimport json\\nimport time\\nfrom datetime import datetime\\nfrom datetime import timedelta\\n\\nfrom tests import TestCase\\n\\n\\nfrom motiky.logic.models import User,Post,UserLikeAsso,Report,Install,\\\\\\n UserFollowAsso,Comment,Activity,Action\\n\\nfrom motiky.logic import backend\\n\\nfrom motiky.configs import db,redis\\n\\nclass TestUser(TestCase):\\n\\n\\n def test_user_view(self):\\n \\n # post\\n headers = self.generate_header('weibo_id1')\\n data = {'uid':'weibo_id1',\\n 'access_token':'1111111111'}\\n resp = self.client.post('/user',data=json.dumps(data),\\n headers=headers,content_type='application/json')\\n print resp.data\\n _data = json.loads(resp.data)\\n assert resp.status_code == 200\\n assert _data['uid'] == 'weibo_id1'\\n assert _data['access_token'] == '1111111111'\\n\\n # get\\n resp = self.client.get('/user/%d'%_data['id'],headers=headers)\\n data_get = json.loads(resp.data)\\n assert data_get['uid'] == 'weibo_id1'\\n\\n # put\\n put_in = {'photo_url':'put_url','date_upate':str(datetime.now())}\\n resp = self.client.put('/user/%d'%_data['id'],\\n data=json.dumps(put_in),headers=headers,\\n content_type='application/json')\\n print resp.data\\n assert resp.status_code == 204\\n\\n def test_install(self):\\n user1 = backend.add_user('username01','photo_url01','weibo_id01')\\n device_token = 'device_token'\\n \\n headers = self.generate_header('weibo_id01')\\n \\n data = {\\n 'device_type':'ios',\\n 'device_token':device_token,\\n 'version':'1.1.10',\\n 'user_id':user1['id']\\n }\\n\\n resp = self.client.post('/install',data=json.dumps(data),\\n headers=headers,content_type='application/json')\\n\\n _data = json.loads(resp.data)\\n install_id = _data['install_id']\\n \\n install = Install.query.filter(Install.user_id == user1['id']).first()\\n assert install is not None\\n assert install.device_token.encode('utf-8') == device_token\\n\\n def test_user_follow(self):\\n headers = self.generate_header('weibo_id01')\\n pass\\n\\n\\n\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.6410356760025024,\n \"alphanum_fraction\": 0.6488819122314453,\n \"avg_line_length\": 30.432098388671875,\n \"blob_id\": \"4b054b747c1d2780e2ea88f07703f164e309d34e\",\n \"content_id\": \"c9efead97232e771d7e60a599e4d75f6242ad2bd\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2565,\n \"license_type\": \"no_license\",\n \"max_line_length\": 74,\n \"num_lines\": 81,\n \"path\": \"/motiky/logic/logic_comment.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# author: notedit\\n# date: 2013-04-15\\n\\nimport types\\nimport traceback\\n\\n\\nfrom motiky.coreutil import BackendError,register,assert_error\\n\\nfrom motiky.logic.models import User,Post,Comment\\n\\nfrom motiky.configs import db,redis\\n\\n\\n@register('add_comment')\\ndef add_comment(post_id,content,author_id):\\n assert_error(type(post_id) == types.IntType,'ParamError')\\n assert_error(type(author_id) == types.IntType,'ParamError')\\n assert_error(type(content) == types.StringType,'ParamError')\\n\\n qd = {\\n 'post_id':post_id,\\n 'content':content,\\n 'author_id':author_id\\n }\\n co = Comment(**qd)\\n try:\\n db.session.add(co)\\n db.session.commit()\\n except:\\n db.session.rollback()\\n raise BackendError('InternalError',traceback.format_exc())\\n return co.json\\n\\n@register('set_comment')\\ndef set_comment(comment_id,dinfo):\\n keys_set = ('post_id','author_id','content','show','date_create')\\n if not set(dinfo.keys()).issubset(keys_set):\\n raise BackendError('ParamError','更新的字段不允许')\\n comment = Comment.query.get(comment_id)\\n for key,value in dinfo.items():\\n if value is not None:\\n setattr(comment,key,value)\\n try:\\n db.session.commit()\\n except Exception,ex:\\n db.session.rollback()\\n raise BackendError('InternalError',traceback.format_exc())\\n return comment.json\\n\\n@register('get_comment')\\ndef get_comment(comment_id):\\n assert_error(type(comment_id) == types.IntType,'ParamError')\\n comm = Comment.query.get(comment_id)\\n return comm.json\\n\\n@register('get_post_comment')\\ndef get_post_comment(post_id,limit=50,offset=0,show=True):\\n assert_error(type(post_id) == types.IntType,'ParamError')\\n _ans = [Comment.show == True,] if show else []\\n _ans.append(Comment.post_id == post_id)\\n q = reduce(db.and_,_ans)\\n comms = Comment.query.filter(q).order_by(Comment.date_create.desc()).\\\\\\n limit(limit).offset(offset).all()\\n return [c.json for c in comms]\\n\\n@register('get_post_comment_count')\\ndef get_post_comment_count(post_id,show=True):\\n _ans = [Comment.show == True,] if show else []\\n _ans.append(Comment.post_id == post_id)\\n q = reduce(db.and_,_ans)\\n count = Comment.query.filter(q).count()\\n return count\\n\\n@register('add_comment_count')\\ndef add_comment_count(post_id,step=1):\\n count_key = 'POST::COMMENT_COUNT::%s' % str(post_id)\\n if redis.exists(count_key):\\n rp = redis.pipeline()\\n rp.incr(count_key).expire(count_key,24*5*3600).execute()\\n\\n\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.6944212913513184,\n \"alphanum_fraction\": 0.6952539682388306,\n \"avg_line_length\": 22.54901885986328,\n \"blob_id\": \"1cc06a6d4e0ae030592cc09ec3fd3c86293761dd\",\n \"content_id\": \"a5e2d1bb8c3067c43109a8e0d71832bb0bf57027\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1201,\n \"license_type\": \"no_license\",\n \"max_line_length\": 70,\n \"num_lines\": 51,\n \"path\": \"/motiky/views/push.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\n# author: notedit <notedit@gmail.com>\\n\\nimport sys \\nimport time\\nimport logging\\n\\nimport flask\\nfrom flask import g\\nfrom flask import request\\nfrom flask import redirect\\nfrom flask import Response\\nfrom flask import current_app\\nfrom flask import session\\nfrom flask import jsonify\\nfrom flask import flash\\nfrom flask.views import MethodView\\nfrom flask.views import View\\n\\nfrom missing import authutil\\nfrom missing.site import instance\\nfrom missing.logic import backend\\nfrom missing.coreutil import BackendError\\nfrom missing.configs import redis,rq\\n\\ninstance = Blueprint('push',__name__)\\n\\n\\n@instance.route('/push',methods=('POST',))\\ndef push():\\n \\\"\\\"\\\"\\n user_id:int\\n data:{\\n 'alert':str,\\n 'sound':str,\\n 'custom':dict\\n }\\n https://github.com/simonwhitaker/PyAPNs\\n \\\"\\\"\\\"\\n if not request.json:\\n return jsonify(error='content-type should be json')\\n if not set(['user_id','data']).issubset(set(request.json.keys())):\\n return jsonify(error='params error')\\n\\n user_id = request.json['user_id']\\n data = request.json['data']\\n\\n rq.enqueue('onepiece.worker.apns_push',user_id=user_id,data=data)\\n \\n return jsonify(ok='push is in the queue')\\n\"\n },\n {\n \"alpha_fraction\": 0.6025130152702332,\n \"alphanum_fraction\": 0.6068035364151001,\n \"avg_line_length\": 29.212963104248047,\n \"blob_id\": \"cd420b550f13c87e00541a6e309e58813656cf0d\",\n \"content_id\": \"dbbfd181298e6aa4e63fe724ba3bf536c733ded8\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 3263,\n \"license_type\": \"no_license\",\n \"max_line_length\": 107,\n \"num_lines\": 108,\n \"path\": \"/motiky/logic/logic_feed.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# author: notedit\\n# date: 2013-04-10\\n\\nimport os\\nimport types\\nimport traceback\\nfrom datetime import datetime\\n\\nfrom flask import current_app\\n\\nfrom motiky.coreutil import BackendError,register,assert_error\\n\\nfrom motiky.logic.models import User,Post,Tag,Activity,UserFollowAsso\\n\\nfrom motiky.configs import db,DefaultConfig\\n\\n\\nNEW_FEED_SQL = \\\"\\\"\\\"\\n SELECT id FROM answer WHERE show=true AND date_create > %(last_update_time)s \\n AND (%(following_limit)s) LIMIT 1\\n \\\"\\\"\\\"\\n\\nGET_LATEST_FEED_SQL = \\\"\\\"\\\"\\n SELECT id,title,pic_small,pic_big,video_url,author_id,show,recommended,play_count,\\n date_create,date_update,date_publish FROM post WHERE date_create < %(now)s AND show=true \\n AND (%(following_limit)s) ORDER BY date_create DESC \\n LIMIT %(limit)s OFFSET %(offset)s\\n \\\"\\\"\\\"\\n \\nVALUE_LIST = ['id','title','pic_small','pic_big','video_url','author_id',\\n 'show','recommended','play_count','date_create','date_update',\\n 'date_publish']\\n\\ndef _get_following_user(user_id):\\n fu = UserFollowAsso.query.filter(UserFollowAsso.user_id == user_id).all()\\n if fu:\\n fuids = [u.user_id_to for u in fu if u]\\n else:\\n fuids = []\\n return fuids\\n\\n@register('get_new_feed')\\ndef get_new_feed(user_id,last_update_time):\\n\\n fus = _get_following_user(user_id)\\n fus.extend([user_id])\\n fus = set(fus)\\n\\n following_limit = []\\n if fus:\\n following_limit.append('author_id IN (%s)' % ','.join([repr(uid) for uid in fus]))\\n else:\\n following_limit.append('1=1')\\n\\n following_limit.append('recommended = true')\\n\\n following_limit = ' OR '.join(following_limit)\\n\\n sql = NEW_FEED_SQL % {'following_limit':following_limit,'last_update_time':repr(str(last_update_time))}\\n\\n res = db.session.execute(sql).fetchall()\\n return True if len(res) else False\\n\\n@register('get_latest_feed')\\ndef get_latest_feed(user_id,limit,offset):\\n \\n qd = {\\n 'limit':repr(limit),\\n 'offset':repr(offset)\\n }\\n \\n fus = _get_following_user(user_id)\\n fus.extend([user_id])\\n fus = set(fus)\\n \\n following_limit = []\\n if fus:\\n following_limit.append('author_id IN (%s)' % ','.join([repr(uid) for uid in fus]))\\n else:\\n following_limit.append('1=1')\\n\\n following_limit.append('recommended = true')\\n\\n following_limit = ' OR '.join(following_limit)\\n\\n _now = repr(str(datetime.now()))\\n\\n qd.update({'following_limit':following_limit,'now':_now})\\n sql = GET_LATEST_FEED_SQL % qd\\n\\n print sql\\n\\n video_url_prefix = '/' if not current_app else current_app.config.get('VIDEO_URL_PREFIX')\\n\\n res = db.session.execute(sql).fetchall()\\n ress = []\\n for re in res:\\n _dict = dict(zip(VALUE_LIST,re))\\n _dict.update({\\n 'date_create':_dict['date_create'].strftime('%Y-%m-%d %H:%M:%S'),\\n 'date_update':_dict['date_update'].strftime('%Y-%m-%d %H:%M:%S'),\\n 'date_publish':_dict['date_publish'].strftime('%Y-%m-%d %H:%M:%S'),\\n 'video_url':os.path.join(video_url_prefix,_dict['video_url'] or ''),\\n 'pic_small':os.path.join(video_url_prefix,_dict['pic_small'] or ''),\\n })\\n ress.append(_dict)\\n return ress\\n\"\n },\n {\n \"alpha_fraction\": 0.61654132604599,\n \"alphanum_fraction\": 0.6224772334098816,\n \"avg_line_length\": 29.08333396911621,\n \"blob_id\": \"44f932b695c2ea359ea8d368798291523348f26a\",\n \"content_id\": \"6db7b73c2c8a1c0edbff044f972226070a250268\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2527,\n \"license_type\": \"no_license\",\n \"max_line_length\": 97,\n \"num_lines\": 84,\n \"path\": \"/motiky/views/feed.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# author: notedit <notedit@gmail.com>\\n# date: 2013-04-10\\n\\nimport sys \\nimport time\\nimport logging\\nimport flask\\nfrom flask import g\\nfrom flask import request\\nfrom flask import Blueprint\\nfrom flask import redirect\\nfrom flask import Response\\nfrom flask import current_app\\nfrom flask import session\\nfrom flask import jsonify\\nfrom flask import flash\\nfrom flask.views import MethodView\\nfrom flask.views import View\\n\\nfrom motiky import authutil\\nfrom motiky.logic import backend\\nfrom motiky.coreutil import BackendError\\nfrom motiky.configs import redis\\n\\ninstance = Blueprint('feed',__name__)\\n\\nFEED_UPDATE_TIME_KEY = 'FEED::UPDATETIME::%(user_id)s'\\n\\ndef pipe_load(feeds):\\n # todo some pipe load\\n feeds_ret = []\\n for po in feeds:\\n try:\\n user = backend.get_user(po['author_id'])\\n po['user'] = user\\n po['like_count'] = backend.get_post_liked_count(po['id'])\\n po['comment_count'] = backend.get_post_comment_count(po['id']) \\n except BackendError,ex:\\n continue\\n return feeds\\n\\nclass NewFeedView(MethodView):\\n\\n def get(self,user_id):\\n feed_time_meta = redis.hgetall(FEED_UPDATE_TIME_KEY % {'user_id':user_id})\\n try:\\n last_update_time = int(feed_time_meta.get('last_update_time'))\\n except:\\n last_update_time = int(time.time())\\n\\n last_update_time = datetime.fromtimestamp(last_update_time)\\n res = backend.get_new_feed(user_id,last_update_time)\\n return jsonify(has_new=res)\\n\\nclass FeedsView(MethodView):\\n\\n def get(self,user_id):\\n try:\\n page = int(request.values.get('page'))\\n except:\\n page = 1\\n\\n limit = 10\\n offset = (page-1) * limit\\n \\n feeds = backend.get_latest_feed(user_id,limit,offset)\\n\\n if len(feeds) > 0:\\n feeds = pipe_load(feeds) \\n \\n curr_user = backend.get_user_by_uid(g.ukey)\\n liked_post_ids = [p['id'] for p in feeds]\\n liked_dict = backend.is_like_post(curr_user['id'],liked_post_ids)\\n for up in feeds:\\n up['is_like'] = liked_dict.get(up['id']) or False\\n\\n if page == 1:\\n redis.hset(FEED_UPDATE_TIME_KEY % {'user_id':user_id},\\n 'last_update_time',int(time.time()))\\n return jsonify(results=feeds,page=page)\\n\\ninstance.add_url_rule('/feeds/<int:user_id>',view_func=FeedsView.as_view('feed'))\\ninstance.add_url_rule('/feeds/notify/<int:user_id>',view_func=NewFeedView.as_view('feed_notify'))\\n\"\n },\n {\n \"alpha_fraction\": 0.5175958871841431,\n \"alphanum_fraction\": 0.5385527610778809,\n \"avg_line_length\": 30.4375,\n \"blob_id\": \"c320b55fb95b685f767a0b8df0a04c7c700710bf\",\n \"content_id\": \"f00214384ad8169ab6d856658b0891432668659b\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2529,\n \"license_type\": \"no_license\",\n \"max_line_length\": 81,\n \"num_lines\": 80,\n \"path\": \"/tests/test_activity.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\nimport os\\nimport sys\\nimport types\\nimport json\\nimport time\\nfrom datetime import datetime\\nfrom datetime import timedelta\\n\\nfrom StringIO import StringIO\\n\\nfrom tests import TestCase\\n\\n\\nfrom motiky.logic.models import User,Post,UserLikeAsso,Report,Install,\\\\\\n UserFollowAsso,Comment,Activity,Action\\n\\nfrom motiky.logic import backend\\n\\nfrom motiky.configs import db,redis\\n\\nclass TestActivity(TestCase):\\n\\n\\n def test_user_activity_view(self):\\n\\n # get\\n user1 = backend.add_user('username1','photo_url','weibo_id1')\\n user2 = backend.add_user('username2','photo_url','weibo_id2')\\n post1 = backend.add_post('title1',user1['id'],'video_url',\\n pic_small='pic_small')\\n post2 = backend.add_post('title2',user1['id'],'video_url',\\n pic_small='pic_small')\\n \\n comment1 = backend.add_comment(post1['id'],'comment1',user1['id'])\\n\\n ac1 = {\\n 'post_id':post1['id'],\\n 'from_id':user1['id'],\\n 'to_id':user2['id'],\\n 'atype':'like'\\n }\\n ac2 = {\\n 'post_id':post1['id'],\\n 'from_id':user1['id'],\\n 'comment_id':comment1['id'],\\n 'to_id':user2['id'],\\n 'atype':'comment'\\n }\\n\\n\\n ret = backend.add_activity(ac1)\\n ret = backend.add_activity(ac2)\\n backend.new_install(user2['id'],'device_token')\\n\\n headers = self.generate_header('weibo_id2')\\n resp = self.client.get('/user/%d/activity' % user2['id'],headers=headers)\\n _data = json.loads(resp.data)\\n assert resp.status_code == 200\\n assert len(_data['results']) == 2\\n\\n redis.flushall()\\n redis.hset('ACTIVITY::UPDATETIME::%(user_id)s' % {'user_id':user2['id']},\\n 'last_update_time',int(time.time() - 3600 * 6))\\n\\n resp = self.client.get('/user/%d/activity/count' % user2['id'],\\n headers=headers)\\n _data = json.loads(resp.data)\\n assert resp.status_code == 200\\n assert _data['count'] == 2\\n\\n redis.hset('ACTIVITY::UPDATETIME::%(user_id)s' % {'user_id':user2['id']},\\n 'last_update_time',int(time.time()) + 2)\\n\\n resp = self.client.get('/user/%d/activity/count' % user2['id'],\\n headers=headers)\\n _data = json.loads(resp.data)\\n assert resp.status_code == 200\\n assert _data['count'] == 0\\n\\n\\n\\n\\n \\n\\n\"\n },\n {\n \"alpha_fraction\": 0.6745964288711548,\n \"alphanum_fraction\": 0.6847918629646301,\n \"avg_line_length\": 29.894737243652344,\n \"blob_id\": \"4a4c053ca322cc3285b3c242f963c03187219526\",\n \"content_id\": \"f0df987921002baef0ca6b3708412b39f06330bf\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1177,\n \"license_type\": \"no_license\",\n \"max_line_length\": 85,\n \"num_lines\": 38,\n \"path\": \"/motiky/logic/logic_activity.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# author: notedit\\n# date: 2013-04-10\\n\\nimport types\\nimport traceback\\n\\nfrom motiky.coreutil import BackendError,register,assert_error\\n\\nfrom motiky.logic.models import User,Post,Tag,Activity\\n\\nfrom motiky.configs import db\\n\\n@register('add_activity')\\ndef add_activity(ainfo):\\n act = Activity(**ainfo)\\n try:\\n db.session.add(act)\\n db.session.commit()\\n except:\\n db.session.rollback()\\n raise BackendError('InternalError',traceback.format_exc())\\n else:\\n return act.json\\n\\n@register('get_new_activity_count')\\ndef get_new_activity_count(user_id,last_update_time):\\n assert_error(type(user_id) == types.IntType,'ParamError')\\n count = Activity.query.filter(Activity.to_id == user_id).\\\\\\n filter(Activity.date_create > last_update_time).count()\\n return count\\n\\n@register('get_activity_by_user')\\ndef get_activity_by_user(user_id,limit=30,offset=0):\\n assert_error(type(user_id) == types.IntType,'ParamError')\\n activitys = Activity.query.filter(Activity.to_id == user_id).\\\\\\n order_by(db.desc(Activity.date_create)).limit(limit).offset(offset).all()\\n return [a.json for a in activitys]\\n\\n\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.5830469727516174,\n \"alphanum_fraction\": 0.6231386065483093,\n \"avg_line_length\": 29.59649085998535,\n \"blob_id\": \"6b5ffc97aae9e3447c3d86e692b3131b1d2610af\",\n \"content_id\": \"7d7de02d8510eb50fbf7498063850e99d4131fd1\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1746,\n \"license_type\": \"no_license\",\n \"max_line_length\": 74,\n \"num_lines\": 57,\n \"path\": \"/tests/test_feed.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\n\\nimport os\\nimport sys\\nimport types\\nimport json\\nimport time\\nfrom datetime import datetime\\nfrom datetime import timedelta\\n\\nfrom StringIO import StringIO\\n\\nfrom tests import TestCase\\n\\n\\nfrom motiky.logic.models import User,Post,UserLikeAsso,Report,Install,\\\\\\n UserFollowAsso,Comment,Activity,Action\\n\\nfrom motiky.logic import backend\\n\\nfrom motiky.configs import db,redis\\n\\nclass TestFeed(TestCase):\\n\\n\\n def test_feeds_view(self):\\n user1 = backend.add_user('username01','photo_url01','weibo_id01')\\n user2 = backend.add_user('username02','photo_url02','weibo_id02')\\n user3 = backend.add_user('username03','photo_url03','weibo_id03') \\n user4 = backend.add_user('username04','photo_url04','weibo_id04')\\n\\n post1 = backend.add_post('title01',user1['id'],'video_url01',\\n pic_small='pic_small01')\\n post2 = backend.add_post('title02',user2['id'],'video_url02',\\n pic_small='pic_small')\\n post3 = backend.add_post('title03',user3['id'],'video_url03',\\n pic_small='pic_small03')\\n post4 = backend.add_post('title04',user4['id'],'video_url04',\\n pic_small='pic_small04')\\n\\n backend.follow_user(user4['id'],user1['id'])\\n backend.follow_user(user4['id'],user2['id'])\\n\\n headers = self.generate_header('weibo_id04')\\n\\n resp = self.client.get('/feeds/%d' % user4['id'],headers=headers)\\n ret = json.loads(resp.data)\\n assert len(ret['results']) == 3\\n\\n\\n backend.set_post(post3['id'],{'recommended':True})\\n\\n resp = self.client.get('/feeds/%d'% user4['id'],headers=headers)\\n ret = json.loads(resp.data)\\n\\n assert len(ret['results']) == 4\\n\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.7209302186965942,\n \"alphanum_fraction\": 0.7209302186965942,\n \"avg_line_length\": 42,\n \"blob_id\": \"5749c024e75be9302b489d880b730ee6ffad5bb2\",\n \"content_id\": \"91ef97cc6cb7aa8adaa2246a7a60e44764e65092\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Shell\",\n \"length_bytes\": 86,\n \"license_type\": \"no_license\",\n \"max_line_length\": 67,\n \"num_lines\": 2,\n \"path\": \"/scripts/sync.sh\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#!/usr/bin/env sh\\nrsync -ravz --exclude=.hg wwwuser@host:/data/backups /data/backups\\n\"\n },\n {\n \"alpha_fraction\": 0.5908882021903992,\n \"alphanum_fraction\": 0.6115968823432922,\n \"avg_line_length\": 26.468355178833008,\n \"blob_id\": \"51b39ec8011999f62d22128c338eab9f318b9036\",\n \"content_id\": \"11a485c04eac47f7a7c9f69a0269c5c2584aca74\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2211,\n \"license_type\": \"no_license\",\n \"max_line_length\": 69,\n \"num_lines\": 79,\n \"path\": \"/motiky/logic/logic_tag.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# author: notedit\\n# date: 2013-04-10\\n\\nimport types\\nimport traceback\\n\\nfrom motiky.coreutil import BackendError,register,assert_error\\n\\nfrom motiky.logic.models import User,Post,Tag,Tagging\\n\\nfrom motiky.configs import db\\n\\n# 99999999 编辑推荐\\n# 99999998 热门\\n# 这里应该排除推荐推荐和热门\\n@register('get_all_tags')\\ndef get_all_tags():\\n tags = Tag.query.filter(Tag.show == True).\\\\\\n filter(db.not_(Tag.id.in_([99999999,99999998]))).\\\\\\n order_by(Tag.order_seq.desc()).all()\\n return [tag.json for tag in tags]\\n\\n@register('get_recommend_tags')\\ndef get_recommend_tags():\\n tags = Tag.query.filter(Tag.show == True).\\\\\\n filter(Tag.recommended == True).\\\\\\n order_by(Tag.order_seq.desc()).all()\\n return [tag.json for tag in tags]\\n\\n@register('get_tag')\\ndef get_tag(tag_id):\\n assert_error(type(tag_id) == types.IntType,'ParamError')\\n tag = Tag.query.get(tag_id)\\n return tag.json\\n\\n@register('get_tag_post_count')\\ndef get_tag_post_count(tag_id):\\n assert_error(type(tag_id) == types.IntType,'ParamError')\\n count = Tagging.query.filter(Tagging.tag_id == tag_id).count()\\n return count\\n\\n@register('get_tag_post')\\ndef get_tag_post(tag_id,limit=10,offset=0):\\n assert_error(offset>=0,'ParamError')\\n posts = Post.query.join(Tagging,Post.id == Tagging.taggable_id).\\\\\\n filter(Tagging.tag_id == tag_id).\\\\\\n filter(Post.show == True).\\\\\\n order_by(Tagging.date_create.desc()).\\\\\\n limit(limit).offset(offset).all()\\n return [p.json for p in posts];\\n\\ndef _get_tag_id(tagstr):\\n tag = Tag.query.filter(Tag.name == tagstr).first()\\n if tag:\\n return tag.id\\n _tag = Tag(name=tagstr)\\n try:\\n db.session.add(_tag)\\n db.session.commit()\\n except:\\n pass\\n else:\\n return _tag.id\\n\\n return None\\n\\n@register('add_post_tag')\\ndef add_post_tag(post_id,tags):\\n for tag in tags:\\n t = _get_tag_id(tag)\\n if t is None:\\n continue\\n try:\\n tagging = Tagging(taggable_id=post_id,tag_id=t)\\n db.session.add(tagging)\\n db.session.commit()\\n except:\\n db.session.rollback()\\n\\n\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.5325779318809509,\n \"alphanum_fraction\": 0.5387586951255798,\n \"avg_line_length\": 31.066116333007812,\n \"blob_id\": \"58b0f27f74ca6f194e01505956ce981dc79248e9\",\n \"content_id\": \"271126e6ab69c1bb8637bf04a907897c23d57f4b\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 4141,\n \"license_type\": \"no_license\",\n \"max_line_length\": 86,\n \"num_lines\": 121,\n \"path\": \"/motiky/cacheutil.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# File: cacheutil.py\\n\\n\\\"\\\"\\\"\\n一个进程内缓存的实现 应急的时候才用 并不是很安全\\n\\\"\\\"\\\"\\nimport types\\nimport time\\nimport hashlib\\nimport json\\n\\nfrom motiky.configs import redis\\n\\nLOCALCACHE_POOL={} #本地缓存字典\\nLOCALCACHE_MAX_ITEM_COUNT=10000 #最大存储对象数量\\nLOCALCACHE_KILL_COUNT=1000 #缓存满时删除对象数量\\n\\n\\ndef rcache(timeout, cachekey=None):\\n \\\"\\\"\\\"基于redis 的函数调用缓存\\\"\\\"\\\"\\n def inter1(func):\\n def inter2(*args,**kwargs):\\n if cachekey is not None:\\n callstr = cachekey\\n else:\\n params = map(lambda xx:repr(xx),args)\\n for (k,v) in kwargs.items():\\n params.append('%s=%s'%(k,repr(v)))\\n callstr='CALLCACHE::%s(%s)' % (func.func_name,','.join(params))\\n retobj = redis.get(callstr)\\n if retobj:\\n return json.loads(retobj)\\n retobj = func(*args,**kwargs)\\n rp = redis.pipeline()\\n rp.set(callstr,json.dumps(retobj)).expire(callstr,timeout).execute()\\n return retobj\\n return inter2\\n return inter1\\n\\ndef delete_cache(cachekey=None):\\n \\\"\\\"\\\"用相同的参数删除rcache\\\"\\\"\\\"\\n def inter1(func):\\n def inter2(*args,**kwargs):\\n if cachekey is not None:\\n callstr = cachekey\\n else:\\n params = map(lambda xx:repr(xx),args)\\n for (k,v) in kwargs.items():\\n params.append('%s=%s'%(k,repr(v)))\\n callstr='CALLCACHE::%s(%s)' % (func.func_name,','.join(params))\\n redis.delete(callstr)\\n return inter2\\n return inter1\\n\\ndef ugc_control_set(user_id,obj_type,obj_id,timeout):\\n \\\"\\\"\\\"\\n 设置UGC的时间\\n 可以在执行ugc操作之前先过来set 一下,如果返回True则允许下一步\\n False则因为太频繁不允许ugc\\n \\\"\\\"\\\"\\n assert type(user_id) == types.IntType\\n assert type(timeout) == types.IntType\\n q = {\\n 'user_id':user_id,\\n 'obj_type':obj_type,\\n 'obj_id':obj_id\\n }\\n _key = \\\"\\\"\\\"UGC::%(user_id)s::%(obj_type)s::%(obj_id)s\\\"\\\"\\\" % q\\n ret = redis.get(_key)\\n if ret != None:\\n return False\\n else:\\n redis.pipeline().set(_key,'on').expire(_key,timeout).execute()\\n return True\\n\\ndef callcache(timeout):\\n \\\"\\\"\\\"函数的调用缓存\\\"\\\"\\\"\\n def inter1(func):\\n def inter2(*args,**kwargs):\\n params=map(lambda xx:repr(xx),args)\\n for (k,v) in kwargs.items():\\n params.append('%s=%s'%(k,repr(v)))\\n callstr='%s(%s)'%(func.__name__,','.join(params))\\n try:\\n cachedict=LOCALCACHE_POOL[callstr]\\n if cachedict['timeout']==None:\\n return cachedict['return']\\n elif cachedict['timeout']>time.time():\\n return cachedict['return']\\n else:\\n del LOCALCACHE_POOL[callstr]\\n except KeyError:\\n pass\\n retobj=func(*args,**kwargs)\\n if len(LOCALCACHE_POOL)>=LOCALCACHE_MAX_ITEM_COUNT:\\n clear_localcache()\\n cachedict={'return':retobj,}\\n if timeout:\\n cachedict['timeout']=int(time.time())+timeout\\n else:\\n cachedict['timeout']=None\\n LOCALCACHE_POOL[callstr]=cachedict\\n return retobj\\n return inter2\\n return inter1\\n\\n\\ndef clear_localcache():\\n \\\"\\\"\\\"将本地缓存清理出一块空间来\\\"\\\"\\\"\\n for (callstr,cachedict) in LOCALCACHE_POOL.items():\\n if cachedict['timeout']<time.time():\\n del LOCALCACHE_POOL[callstr] #删除已经超时的\\n #need_del_left=len(LOCALCACHE_POOL)-LOCALCACHE_MAX_ITEM_COUNT\\n need_del_left=len(LOCALCACHE_POOL)+LOCALCACHE_KILL_COUNT-LOCALCACHE_MAX_ITEM_COUNT\\n for (callstr,cachedict) in LOCALCACHE_POOL.items():\\n if cachedict['timeout']!=None:\\n del LOCALCACHE_POOL[callstr]\\n need_del_left-=1\\n if need_del_left<=0:\\n break\\n return\\n\\n\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.426086962223053,\n \"alphanum_fraction\": 0.508695662021637,\n \"avg_line_length\": 9.5,\n \"blob_id\": \"e7c29677d77b83e9cb05a821c7a70c010a817e6b\",\n \"content_id\": \"a332e4e6457f8733ee4922dd2cdcded5a6a8fed8\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 238,\n \"license_type\": \"no_license\",\n \"max_line_length\": 52,\n \"num_lines\": 22,\n \"path\": \"/docs/motiky-api-doc.md\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"* 获取tags 列表\\n\\n```\\nGET /tags\\n\\nRESPONSE \\n\\n{\\n\\t'results':[\\n\\t\\t{\\n\\t\\t\\t'id':int,\\n\\t\\t\\t'name':str,\\n\\t\\t\\t'show':bool,\\n\\t\\t\\t'pic_url':str,\\n\\t\\t\\t'order_seq':int,\\n\\t\\t\\t'recommended':bool,\\n\\t\\t\\t'date_create':str => '1988-12-13 00:00:00.12345'\\n\\t\\t},\\n\\t]\\n}\\n\\n```\"\n },\n {\n \"alpha_fraction\": 0.7105262875556946,\n \"alphanum_fraction\": 0.7105262875556946,\n \"avg_line_length\": 37,\n \"blob_id\": \"1d93d2ec375ef0b0826bba7cff9e81f1fdfe62ef\",\n \"content_id\": \"aa26c61695ca90798275f5b32929537b5269b782\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Shell\",\n \"length_bytes\": 114,\n \"license_type\": \"no_license\",\n \"max_line_length\": 70,\n \"num_lines\": 3,\n \"path\": \"/scripts/pg_backup.sh\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#!/bin/bash\\nexport PGPASSWORD='password'\\npg_dump -Uuser -hlocalhost -a -f /data/backups/`date +%F`.sql database\\n\"\n },\n {\n \"alpha_fraction\": 0.7386091351509094,\n \"alphanum_fraction\": 0.743405282497406,\n \"avg_line_length\": 15.038461685180664,\n \"blob_id\": \"9bb7c9d2f343e2267062eccac398fc7b3a9ca3b5\",\n \"content_id\": \"80a2c52f3550b04dfb5dee20e724f89bd9c47918\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 417,\n \"license_type\": \"no_license\",\n \"max_line_length\": 58,\n \"num_lines\": 26,\n \"path\": \"/scripts/notify_data.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#/usr/bin/evn python\\n# -*- coding: utf-8 -*-\\n\\nimport os\\nimport sys\\nimport json\\nimport traceback\\n\\nsys.path.insert(0,'../')\\n\\nfrom komandr import *\\n\\nfrom motiky.logic.models import User,Post,Comment,Activity\\n\\nfrom motiky import create_app\\nfrom motiky import configs\\nfrom motiky.configs import db\\n\\napp = create_app(configs.ProductionConfig)\\n\\n@command('generate_notify_data')\\ndef generate_notify_data():\\n pass\\n\\n\\nmain()\\n\"\n },\n {\n \"alpha_fraction\": 0.5618235468864441,\n \"alphanum_fraction\": 0.5673991441726685,\n \"avg_line_length\": 26.672727584838867,\n \"blob_id\": \"9de450161e35c11ab57783687e44f3daad49d12b\",\n \"content_id\": \"da82b4839ae447d8a8147476786d88c3e2d27ed8\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 3049,\n \"license_type\": \"no_license\",\n \"max_line_length\": 75,\n \"num_lines\": 110,\n \"path\": \"/motiky/views/comment.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\n# author: notedit <notedit@gmail.com>\\n\\nimport os\\nimport sys\\nimport md5\\nimport time\\nimport logging\\nimport flask\\nfrom flask import g\\nfrom flask import request\\nfrom flask import Blueprint\\nfrom flask import redirect\\nfrom flask import Response\\nfrom flask import current_app\\nfrom flask import session\\nfrom flask import jsonify\\nfrom flask import flash\\nfrom flask.views import MethodView\\nfrom flask.views import View\\n\\nfrom motiky import authutil\\nfrom motiky import strutil\\nfrom motiky.logic import backend\\nfrom motiky.coreutil import BackendError\\n\\nfrom motiky.upyun import UpYun,md5,md5file\\n\\nfrom motiky.schema import NewCommentSchema\\n\\ninstance = Blueprint('comment',__name__)\\n\\n\\nclass CommentView(MethodView):\\n\\n def post(self):\\n data = NewCommentSchema().deserialize(request.json)\\n \\n user = backend.get_user(data['author_id'])\\n\\n post = backend.get_post(data['post_id'])\\n\\n if user['uid'] != g.ukey:\\n return jsonify(error='not the user')\\n \\n try:\\n comment = backend.add_comment(\\n data['post_id'],\\n data['content'].encode('utf-8'),\\n data['author_id']\\n )\\n except BackendError,ex:\\n raise\\n\\n if post['author_id'] != data['author_id']:\\n try:\\n backend.add_activity({\\n 'post_id':data['post_id'],\\n 'comment_id':comment['id'],\\n 'from_id':data['author_id'],\\n 'to_id':post['author_id'],\\n 'atype':'comment'\\n })\\n except BackendError,ex:\\n pass\\n\\n return jsonify(**comment)\\n\\n def delete(self,comment_id):\\n comment = backend.get_comment(comment_id)\\n try:\\n backend.set_comment(comment_id,{'show':False})\\n except BackendError,ex:\\n abort(501)\\n else:\\n return '',204\\n\\n\\nclass PostCommentsView(MethodView):\\n\\n def get(self,post_id):\\n try:\\n page = int(request.values.get('page','1'))\\n except:\\n page = 1\\n\\n limit = 20\\n offset = (page-1)*limit\\n\\n comments = backend.get_post_comment(post_id,\\n limit=limit,offset=offset)\\n\\n for comment in comments:\\n user = backend.get_user(comment['author_id'])\\n comment['user'] = user\\n\\n count = backend.get_post_comment_count(post_id)\\n total_page = (count + limit -1 ) / limit\\n return jsonify(comments=comments,page=page,total_page=total_page)\\n\\n\\ninstance.add_url_rule('/comment',view_func=CommentView.as_view('comment'),\\n methods=['POST'])\\ninstance.add_url_rule('/comment/<int:comment_id>',\\n view_func=CommentView.as_view('comment_delete'),\\n methods=['DELETE'])\\ninstance.add_url_rule('/post/<int:post_id>/comment',\\n view_func=PostCommentsView.as_view('post_comment'),\\n methods=['GET'])\\n\\n\\n\\n\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.5399194359779358,\n \"alphanum_fraction\": 0.5446576476097107,\n \"avg_line_length\": 31.97265625,\n \"blob_id\": \"3345765d362e9e335a09e855bbdae8abda4299a7\",\n \"content_id\": \"28b6e944f128f4d56bbf75d35d557c3728a08daf\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 8472,\n \"license_type\": \"no_license\",\n \"max_line_length\": 102,\n \"num_lines\": 256,\n \"path\": \"/motiky/views/user.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\n# author: notedit <notedit@gmail.com>\\n\\nimport sys \\nimport time\\nimport logging\\nfrom datetime import datetime\\n\\nimport requests\\n\\nimport flask\\nfrom flask import g\\nfrom flask import request\\nfrom flask import Blueprint\\nfrom flask import redirect\\nfrom flask import Response\\nfrom flask import current_app\\nfrom flask import session\\nfrom flask import jsonify\\nfrom flask import flash\\nfrom flask.views import MethodView\\nfrom flask.views import View\\n\\nfrom motiky import authutil\\nfrom motiky.logic import backend\\nfrom motiky.coreutil import BackendError\\n\\nfrom motiky.schema import NewUserSchema,UpdateUserSchema,UserFollowSchema,\\\\\\n InstallSchema,PushSchema\\n\\ninstance = Blueprint('user',__name__)\\n\\nclass UserView(MethodView):\\n\\n def get(self,user_id):\\n user = backend.get_user(user_id)\\n return jsonify(**user)\\n\\n def get_weibo_info(self,uid,access_token):\\n if current_app.config.get('CONFIG_TYPE') == 'test':\\n return {'username':'notedit',\\n 'photo_url':'photo_url',\\n 'signature':'signature'}\\n\\n resp = requests.get('https://api.weibo.com/2/users/show.json',\\n params={\\n 'uid':uid,\\n 'access_token':access_token\\n })\\n _ = resp.json\\n return {'username':_['screen_name'],\\n 'photo_url':_['avatar_large'],\\n 'signature':_['description']}\\n\\n\\n def post(self):\\n data = NewUserSchema().deserialize(request.json)\\n print 'data',data\\n try:\\n user = backend.get_user_by_uid(data['uid'].encode('utf-8'))\\n user = backend.set_user(user['id'],\\n {\\n 'uid':data['uid'].encode('utf-8'),\\n 'access_token':data['access_token'].encode('utf-8')\\n })\\n except BackendError,ex:\\n if ex.message == 'EmptyError':\\n user = {}\\n else:\\n return jsonify(error='服务器开小差了')\\n else:\\n return jsonify(**user)\\n\\n _data = self.get_weibo_info(data['uid'],data['access_token'])\\n data.update(_data)\\n try:\\n user = backend.add_user(\\n data['username'].encode('utf-8'),\\n data['photo_url'].encode('utf-8'),\\n data['uid'].encode('utf-8'),\\n data['signature'].encode('utf-8'),\\n data['access_token'].encode('utf-8')\\n )\\n except BackendError,ex:\\n return jsonify(error='add new user error')\\n\\n print 'add user',user\\n user.update({'new':True})\\n return jsonify(**user)\\n\\n def put(self,user_id):\\n data = UpdateUserSchema().deserialize(request.json)\\n try:\\n user = backend.set_user(user_id,data)\\n except BackendError,ex:\\n raise ex\\n else:\\n return '',204\\n\\n\\nclass InstallView(MethodView):\\n\\n def post(self):\\n data = InstallSchema().deserialize(request.json)\\n \\n user_id = data['user_id']\\n try:\\n install = backend.get_install_by_user(user_id)\\n except BackendError,ex:\\n install = None\\n\\n if not install:\\n install = backend.new_install(\\n data['user_id'],\\n data['device_token'].encode('utf-8'),\\n data['version'],\\n data['device_type'])\\n\\n return jsonify(install_id=install['id'])\\n\\n\\nclass UserFollowView(MethodView):\\n\\n def post(self):\\n '''关注用户'''\\n data = UserFollowSchema().deserialize(request.json)\\n from_id = authutil.get_user_id(g.ukey)\\n for uid in data['user_ids']:\\n try:\\n backend.follow_user(from_id,uid)\\n backend.add_activity({\\n 'from_id':from_id,\\n 'to_id':uid,\\n 'atype':'follow'\\n })\\n except BackendError,ex:\\n pass\\n\\n return '',201\\n\\n\\n def delete(self,user_id_to):\\n '''取消关注'''\\n user_id = authutil.get_user_id(g.ukey)\\n try:\\n backend.unfollow_user(user_id,user_id_to)\\n except BackendError,ex:\\n raise \\n return '',204\\n\\n\\nclass UserIsFollowingView(MethodView):\\n\\n def get(self,user_id_to):\\n user_id = authutil.get_user_id(g.ukey)\\n ret = backend.is_following_user(user_id,user_id_to)\\n return jsonify(is_follow=ret)\\n\\n\\nclass UserFollowingView(MethodView):\\n\\n def get(self,user_id):\\n try:\\n page = int(request.values.get('page'))\\n except:\\n page = 1\\n\\n limit = 50\\n offset = (page-1) * 50\\n\\n following_users = backend.get_user_following(user_id,limit=limit,\\n offset=offset)\\n\\n curr_user = backend.get_user_by_uid(g.ukey)\\n\\n fids = [u['id'] for u in following_users]\\n fdict = backend.is_following_user(curr_user['id'],fids)\\n for fu in following_users:\\n fu['follower_count'] = backend.get_user_follower_count(fu['id'])\\n fu['is_follow'] = fdict.get(fu['id']) or False\\n count = backend.get_user_following_count(user_id)\\n total_page = (count + 49) / 50\\n return jsonify(users=following_users,page=page,total_page=total_page)\\n\\n\\nclass UserFollowerView(MethodView):\\n\\n def get(self,user_id):\\n try:\\n page = int(request.values.get('page'))\\n except:\\n page = 1\\n\\n limit = 50\\n offset = (page - 1) * 50\\n followers = backend.get_user_follower(user_id,limit=limit,offset=offset)\\n fids = [u['id'] for u in followers]\\n\\n curr_user = backend.get_user_by_uid(g.ukey)\\n\\n fdict = backend.is_following_user(curr_user['id'],fids)\\n for fu in followers:\\n fu['follower_count'] = backend.get_user_follower_count(fu['id'])\\n fu['is_follow'] = fdict.get(fu['id']) or False\\n count = backend.get_user_follower_count(user_id)\\n total_page = (count + 49) / 50\\n return jsonify(users=followers,page=page,total_page=total_page)\\n\\nclass ProfileView(MethodView):\\n\\n def get(self,user_id):\\n user = backend.get_user(user_id)\\n\\n user_following_count = backend.get_user_following_count(user_id)\\n user_follower_count = backend.get_user_follower_count(user_id)\\n user_post_count = backend.get_user_post_count(user_id)\\n user_liked_post_count = backend.get_user_liked_post_count(user_id)\\n\\n curr_user = backend.get_user_by_uid(g.ukey)\\n\\n is_follow = backend.is_following_user(curr_user['id'],user_id)\\n \\n pd = {\\n 'is_follow':is_follow,\\n 'following_count':user_following_count,\\n 'follower_count':user_follower_count,\\n 'post_count':user_post_count,\\n 'liked_post_count':user_liked_post_count\\n }\\n user.update(pd)\\n return jsonify(**user)\\n\\n\\ninstance.add_url_rule('/user',view_func=UserView.as_view('user'),\\n methods=['POST',])\\ninstance.add_url_rule('/user/<int:user_id>',view_func=UserView.as_view('user'),\\n methods=['GET','PUT'])\\ninstance.add_url_rule('/install',view_func=InstallView.as_view('install'),\\n methods=['POST'])\\ninstance.add_url_rule('/user/follow',view_func=UserFollowView.as_view('user_follow'),\\n methods=['POST'])\\ninstance.add_url_rule('/user/follow/<int:user_id_to>',view_func=UserFollowView.as_view('user_follow'),\\n methods=['DELETE'])\\ninstance.add_url_rule('/user/isfollowing/<int:user_id>',\\n view_func=UserIsFollowingView.as_view('user_is_following'),\\n methods=['GET'])\\ninstance.add_url_rule('/user/following/<int:user_id>',\\n view_func=UserFollowingView.as_view('user_following'),\\n methods=['GET'])\\ninstance.add_url_rule('/user/follower/<int:user_id>',\\n view_func=UserFollowerView.as_view('user_follower'),\\n methods=['GET'])\\ninstance.add_url_rule('/user/profile/<int:user_id>',\\n view_func=ProfileView.as_view('user_profile'),\\n methods=['GET'])\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.6138364672660828,\n \"alphanum_fraction\": 0.6150943636894226,\n \"avg_line_length\": 22.382352828979492,\n \"blob_id\": \"40248a5a1a38541c04206d887a7382ed921a27dc\",\n \"content_id\": \"8d463e6ad9ee29fee4ac69c84f0a45d3117a42dc\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 795,\n \"license_type\": \"no_license\",\n \"max_line_length\": 89,\n \"num_lines\": 34,\n \"path\": \"/tests/__init__.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\nimport unittest\\nimport logging\\nimport time\\nimport hmac\\n\\nfrom flask.ext.testing import TestCase as Base\\n\\nfrom motiky import create_app\\nfrom motiky import configs\\nfrom motiky.configs import db,redis\\n\\nclass TestCase(Base):\\n\\n def create_app(self):\\n app = create_app(configs.TestConfig)\\n app.config['TESTING'] = True\\n return app\\n\\n def generate_header(self,ukey):\\n _now = int(time.time())\\n token = '%s|%d|%s' % (ukey,_now,hmac.new(configs.TestConfig().APPLICATION_SECRET,\\n ukey+str(_now)).hexdigest())\\n return {'X-MOTIKY-TOKEN':token}\\n\\n def setUp(self):\\n db.create_all()\\n redis.flushdb()\\n\\n def tearDown(self):\\n db.session.remove()\\n db.drop_all()\\n print dir(redis)\\n\"\n },\n {\n \"alpha_fraction\": 0.7609890103340149,\n \"alphanum_fraction\": 0.7637362480163574,\n \"avg_line_length\": 19.705883026123047,\n \"blob_id\": \"f4971b8321bbdaeb1dcba73a6718fbe5b7f40178\",\n \"content_id\": \"67cae1ea73ce666d810d09762ec093baaf48d59b\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 364,\n \"license_type\": \"no_license\",\n \"max_line_length\": 34,\n \"num_lines\": 17,\n \"path\": \"/motiky/views/index.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\n# author: notedit <notedit@gmail.com>\\n\\nimport sys \\nimport time\\nimport logging\\nimport flask\\nfrom flask import g\\nfrom flask import request\\nfrom flask import redirect\\nfrom flask import Response\\nfrom flask import current_app\\nfrom flask import session\\nfrom flask import jsonify\\nfrom flask.views import MethodView\\nfrom flask.views import View\\n\\n\\n\\n \\n\\n\\n\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.5646132826805115,\n \"alphanum_fraction\": 0.569900393486023,\n \"avg_line_length\": 30.13793182373047,\n \"blob_id\": \"d0f33ab99ac44f434b34924ecff30bbeef689a7a\",\n \"content_id\": \"78c4226e2984a0c349df6a7d000286e628a04477\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 8133,\n \"license_type\": \"no_license\",\n \"max_line_length\": 84,\n \"num_lines\": 261,\n \"path\": \"/motiky/views/post.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\n# author: notedit <notedit@gmail.com>\\n\\nimport os\\nimport sys\\nimport md5\\nimport time\\nimport logging\\nimport flask\\nfrom flask import g\\nfrom flask import request\\nfrom flask import Blueprint\\nfrom flask import redirect\\nfrom flask import Response\\nfrom flask import current_app\\nfrom flask import session\\nfrom flask import jsonify\\nfrom flask import flash\\nfrom flask.views import MethodView\\nfrom flask.views import View\\n\\nfrom motiky import authutil\\nfrom motiky import strutil\\nfrom motiky.logic import backend\\nfrom motiky.coreutil import BackendError\\n\\nfrom motiky.upyun import UpYun,md5,md5file\\n\\nfrom motiky.schema import NewPostSchema,UpdatePostSchema,\\\\\\n PostLikeSchema,PostUnlikeSchema\\n\\ninstance = Blueprint('post',__name__)\\n\\nupYun = UpYun('xxxxxxxx','xxxxxxxxxx','xxxxxxxxx')\\nupYun.setApiDomain('v0.api.upyun.com')\\nupYun.debug = True\\n\\ndef save_file(file_data,ftype):\\n file_md5 = md5(file_data)\\n file_size = len(file_data)\\n file_id = backend.add_file_data(file_size,file_md5)\\n extname = 'mp4' if ftype == 'video' else 'jpg'\\n file_url = '%s.%s' % (file_id,extname)\\n if current_app.config.get('CONFIG_TYPE') == 'production':\\n upYun.writeFile('/'+file_url,file_data)\\n else:\\n writeFile('/storage/' + file_url,file_data)\\n return file_id,file_url\\n\\n\\ndef writeFile(file_url,file_data):\\n dirname = os.path.dirname(file_url)\\n if not os.path.exists(dirname):\\n os.makedirs(dirname,0777)\\n\\n with open(file_url,'wb') as f:\\n f.write(file_data)\\n f.flush()\\n\\nclass PostView(MethodView):\\n\\n def get(self,post_id):\\n post = backend.get_post(post_id)\\n curr_user = backend.get_user_by_uid(g.ukey)\\n post['is_like'] = backend.is_like_post(curr_user['id'],post['id'])\\n post['like_count'] = backend.get_post_liked_count(post_id)\\n post['comment_count'] = backend.get_post_comment_count(post_id)\\n return jsonify(**post)\\n\\n def post(self):\\n _data = {\\n 'author_id':request.values.get('author_id'),\\n 'title':request.values.get('title'),\\n }\\n data = NewPostSchema().deserialize(_data)\\n \\n user = backend.get_user(data['author_id'])\\n \\n if user['uid'] != g.ukey:\\n return jsonify(error='not the user')\\n\\n # video_file\\n video_file = request.files.get('video_file')\\n video_data = strutil.read_data(video_file)\\n video_id,video_url = save_file(video_data,'video')\\n\\n # pic_file\\n pic_file = request.files.get('pic_file')\\n pic_data = strutil.read_data(pic_file)\\n pic_id,pic_url = save_file(pic_data,'pic')\\n\\n data['title'] = data['title'].encode('utf-8') if data['title'] else ''\\n try:\\n post = backend.add_post(\\n data['title'],\\n data['author_id'],\\n video_url,\\n pic_small=pic_url\\n )\\n except BackendError,ex:\\n raise\\n\\n tags = strutil.extract_tags(data['title'])\\n\\n if tags:\\n backend.add_post_tag(post['id'],tags)\\n\\n return jsonify(**post)\\n\\n def put(self,post_id):\\n data = UpdatePostSchema().deserialize(request.json)\\n try:\\n backend.set_post(post_id,data)\\n except BackendError,ex:\\n abort(501)\\n else:\\n return '',204\\n\\n def delete(self,post_id):\\n post = backend.get_post(post_id)\\n curr_id = authutil.get_user_id(g.ukey)\\n if post['author_id'] != curr_id:\\n return jsonify(error='forbid')\\n try:\\n backend.set_post(post_id,{'show':'deleted_by_user'})\\n except BackendError,ex:\\n abort(501)\\n else:\\n return '',204\\n\\n\\nclass PostListView(MethodView):\\n\\n def get(self):\\n try:\\n page = int(request.values.get('page','1'))\\n except:\\n page = 1\\n\\n limit = 20\\n offset = (page-1)*limit\\n\\n posts = backend.get_latest_post(limit=limit,offset=offset)\\n count = backend.get_post_count()\\n\\n for post in posts:\\n post['like_count'] = backend.get_post_liked_count(post['id'])\\n post['comment_count'] = backend.get_post_comment_count(post['id'])\\n \\n total_page = (count + limit -1 ) / limit\\n return jsonify(posts=posts,page=page,total_page=total_page)\\n\\n\\nclass UserPostView(MethodView):\\n\\n def get(self,user_id):\\n try:\\n page = int(request.values.get('page','1'))\\n except:\\n page = 1\\n\\n limit = 20\\n offset = (page-1) * limit\\n \\n curr_user = backend.get_user_by_uid(g.ukey)\\n user_posts = backend.get_user_post(user_id,limit=limit,offset=offset)\\n\\n liked_post_ids = [p['id'] for p in user_posts];\\n liked_dict = backend.is_like_post(curr_user['id'],liked_post_ids)\\n for up in user_posts:\\n up['is_like'] = liked_dict.get(up['id']) or False\\n up['like_count'] = backend.get_post_liked_count(up['id'])\\n up['comment_count'] = backend.get_post_comment_count(up['id'])\\n \\n\\n\\n count = backend.get_user_post_count(user_id)\\n total_page = (count + limit - 1) / limit\\n\\n return jsonify(posts=user_posts,page=page,total_page=total_page)\\n\\nclass UserLikedPostView(MethodView):\\n\\n def get(self,user_id):\\n try:\\n page = int(request.values.get('page'))\\n except:\\n page = 1\\n\\n limit = 20\\n offset = (page-1) * limit\\n\\n liked_posts = backend.get_user_liked_post(user_id,limit=limit,offset=offset)\\n for p in liked_posts:\\n p['is_like'] = True\\n p['like_count'] = backend.get_post_liked_count(p['id'])\\n p['comment_count'] = backend.get_post_comment_count(p['id'])\\n \\n\\n count = backend.get_user_liked_post_count(user_id)\\n total_page = (count + limit -1) / limit\\n \\n return jsonify(posts=liked_posts,page=page,total_page=total_page)\\n\\nclass PostLikeView(MethodView):\\n\\n def post(self):\\n data = PostLikeSchema().deserialize(request.json)\\n try:\\n ret = backend.add_like(data['user_id'],data['post_id'])\\n except BackendError,ex:\\n return jsonify(error='can not add like')\\n\\n try:\\n post = backend.get_post(data['post_id'])\\n backend.add_activity({\\n 'post_id':data['post_id'],\\n 'from_id':data['user_id'],\\n 'to_id':post['author_id'],\\n 'atype':'like'\\n })\\n except BackendError,ex:\\n pass\\n\\n liked_count = backend.get_post_liked_count(data['post_id'])\\n\\n return jsonify(like_count=liked_count)\\n\\nclass PostUnlikeView(MethodView):\\n\\n def post(self):\\n data = PostUnlikeSchema().deserialize(request.json)\\n try:\\n ret = backend.del_like(data['user_id'],data['post_id'])\\n except BackendError,ex:\\n raise \\n\\n liked_count = backend.get_post_liked_count(data['post_id'])\\n\\n return jsonify(like_count=liked_count)\\n\\n\\ninstance.add_url_rule('/post',view_func=PostView.as_view('post'),\\n methods=['POST'])\\ninstance.add_url_rule('/post/<int:post_id>',view_func=PostView.as_view('post'),\\n methods=['GET','PUT','DELETE'])\\ninstance.add_url_rule('/posts',view_func=PostListView.as_view('posts'),\\n methods=['GET'])\\ninstance.add_url_rule('/posts/user/<int:user_id>',\\n view_func=UserPostView.as_view('user_post'),\\n methods=['GET',])\\ninstance.add_url_rule('/posts/user/<int:user_id>/liked',\\n view_func=UserLikedPostView.as_view('user_liked_post'),\\n methods=['GET',])\\ninstance.add_url_rule('/post/like',\\n view_func=PostLikeView.as_view('post_like'),\\n methods=['POST',])\\ninstance.add_url_rule('/post/unlike',\\n view_func=PostUnlikeView.as_view('post_unlike'),\\n methods=['POST',])\\n\\n\\n\\n\\n\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.595625638961792,\n \"alphanum_fraction\": 0.5986775159835815,\n \"avg_line_length\": 27.83823585510254,\n \"blob_id\": \"826a513505d77b0484a44d5d7de75f9cf5d9201f\",\n \"content_id\": \"c7b19287af36639dea79e125a75f79414dc27d24\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1994,\n \"license_type\": \"no_license\",\n \"max_line_length\": 81,\n \"num_lines\": 68,\n \"path\": \"/motiky/coreutil.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*- \\n\\nimport os\\nimport sys\\nimport time\\nimport logging\\nimport inspect\\nimport traceback\\n\\n\\n\\nbackend_mapping = {}\\ndef register(funcname=None):\\n global backend_mapping \\n def inter1(func,funcname=None):\\n funcname = funcname if funcname else func.__name__\\n if not backend_mapping.has_key(funcname):\\n backend_mapping[funcname] =func\\n else:\\n raise KeyError('%s:funcname declare more than once '%repr(funcname))\\n def inter2(*args,**kwargs):\\n return func(*args,**kwargs)\\n setattr(inter2,'argspec',inspect.getargspec(func))\\n return inter2\\n return lambda func:inter1(func,funcname)\\n\\ndef assert_error(expr,msg,detail=''):\\n if not expr:\\n if not detail:\\n detail = msg\\n raise BackendError(msg,detail)\\n\\nclass BackendError(Exception):\\n def __init__(self,message,detail):\\n self.message = message\\n self.detail = detail\\n \\n def __str__(self):\\n return 'BackendError(%s,%s)' % (self.message,self.detail)\\n\\n def __repr__(self):\\n return 'BackendError(%s,%s)' %(self.message,self.detail)\\n\\n\\nclass Backend(object):\\n '''去掉一些后端不需要导出的方法'''\\n def __init__(self,func_mapping):\\n self.func_mapping = func_mapping\\n\\n def __getattr__(self,attr_name):\\n if self.func_mapping.has_key(attr_name):\\n func = lambda *args,**kwargs: self.__call__(attr_name,*args,**kwargs)\\n func.__name__ = 'backend.' + attr_name\\n return func\\n else:\\n raise AttributeError('backend does not have %s attibute'%attr_name)\\n\\n\\n def __call__(self,funcname,*args,**kwargs):\\n try:\\n return self.func_mapping[funcname](*args,**kwargs)\\n except BackendError,ex:\\n print ex.detail\\n raise ex \\n except Exception,ex:\\n excstr = traceback.format_exc()\\n print excstr\\n raise BackendError('BackendError',excstr)\\n\\n\\n\\n\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.5238507986068726,\n \"alphanum_fraction\": 0.5542064309120178,\n \"avg_line_length\": 33.1629638671875,\n \"blob_id\": \"2bf898788870f8eeafde5b3c5a4b30203644e076\",\n \"content_id\": \"c2c12e00e13d1b9e72406cc9596adaf9f06689e5\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 4612,\n \"license_type\": \"no_license\",\n \"max_line_length\": 82,\n \"num_lines\": 135,\n \"path\": \"/tests/test_post.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\n\\nimport os\\nimport sys\\nimport types\\nimport json\\nimport time\\nfrom datetime import datetime\\nfrom datetime import timedelta\\n\\nfrom StringIO import StringIO\\n\\nfrom tests import TestCase\\n\\n\\nfrom motiky.logic.models import User,Post,UserLikeAsso,Report,Install,\\\\\\n UserFollowAsso,Comment,Activity,Action\\n\\nfrom motiky.logic import backend\\n\\nfrom motiky.configs import db,redis\\n\\nclass TestPost(TestCase):\\n\\n\\n def test_post_view(self):\\n\\n # post\\n user1 = backend.add_user('username01','photo_url01','weibo_id01')\\n headers = self.generate_header('weibo_id01')\\n data = {\\n 'title':'title01',\\n 'author_id':user1['id'],\\n 'video_file':(StringIO('AAAA' * 10000),'hello.mp4'),\\n 'pic_file':(StringIO('AAAA' * 1000),'hello.png')\\n }\\n\\n resp = self.client.post('/post',data=data,headers=headers)\\n\\n _data = json.loads(resp.data)\\n assert resp.status_code == 200\\n assert _data['title'] == 'title01'\\n\\n # get\\n resp = self.client.get('/post/%d' % _data['id'],headers=headers)\\n data_get = json.loads(resp.data)\\n print resp.data\\n assert data_get['title'] == 'title01'\\n\\n # put\\n put_in = {'pic_small':'pic_small'}\\n resp = self.client.put('/post/%d'%_data['id'],data=json.dumps(put_in),\\n headers=headers,content_type='application/json')\\n print resp.data\\n assert resp.status_code == 204\\n\\n def test_posts_view(self):\\n\\n user1 = backend.add_user('username01','photo_url01','weibo_id01')\\n post1 = backend.add_post('post01',user1['id'],\\n 'video_url','pic_small1')\\n post2 = backend.add_post('post02',user1['id'],\\n 'video_url','pic_small2')\\n post3 = backend.add_post('post03',user1['id'],\\n 'video_url','pic_small3')\\n\\n headers = self.generate_header('weibo_id01')\\n\\n resp = self.client.get('/posts',headers=headers)\\n data_get = json.loads(resp.data)\\n assert len(data_get['posts']) == 3\\n\\n def test_user_posts(self):\\n user1 = backend.add_user('username01','photo_url01','weibo_id01')\\n post1 = backend.add_post('post01',user1['id'],\\n 'video_url','pic_small1')\\n post2 = backend.add_post('post02',user1['id'],\\n 'video_url','pic_small2')\\n post3 = backend.add_post('post03',user1['id'],\\n 'video_url','pic_small3')\\n\\n headers = self.generate_header('weibo_id01')\\n\\n resp = self.client.get('/posts/user/%d'%user1['id'],headers=headers)\\n data_get = json.loads(resp.data)\\n assert len(data_get['posts']) == 3\\n\\n def test_user_liked_posts(self):\\n user1 = backend.add_user('username01','photo_url01','weibo_id01')\\n post1 = backend.add_post('post01',user1['id'],\\n 'video_url','pic_small1')\\n post2 = backend.add_post('post02',user1['id'],\\n 'video_url','pic_small2')\\n post3 = backend.add_post('post03',user1['id'],\\n 'video_url','pic_small3')\\n\\n headers = self.generate_header('weibo_id01')\\n\\n ula1 = UserLikeAsso(user_id=user1['id'],post_id=post1['id'])\\n ula2 = UserLikeAsso(user_id=user1['id'],post_id=post2['id'])\\n ula3 = UserLikeAsso(user_id=user1['id'],post_id=post3['id'])\\n\\n db.session.add(ula1)\\n db.session.add(ula2)\\n db.session.add(ula3)\\n db.session.commit()\\n\\n resp = self.client.get('/posts/user/%d/liked'%user1['id'],headers=headers)\\n data_get = json.loads(resp.data)\\n assert len(data_get['posts']) == 3\\n\\n def test_post_like(self):\\n user1 = backend.add_user('username01','photo_url01','weibo_id01')\\n post1 = backend.add_post('post01',user1['id'],\\n 'video_url','pic_small1')\\n\\n headers = self.generate_header('weibo_id01')\\n\\n _data = {\\n 'user_id':user1['id'],\\n 'post_id':post1['id']\\n }\\n resp = self.client.post('/post/like',data=json.dumps(_data),\\n headers=headers,content_type='application/json')\\n\\n data_get = json.loads(resp.data)\\n assert data_get['like_count'] == 1\\n\\n\\n resp = self.client.post('/post/unlike',data=json.dumps(_data),\\n headers=headers,content_type='application/json')\\n\\n data_get = json.loads(resp.data)\\n assert data_get['like_count'] == 0\\n\"\n },\n {\n \"alpha_fraction\": 0.6138541102409363,\n \"alphanum_fraction\": 0.6210390329360962,\n \"avg_line_length\": 24.710901260375977,\n \"blob_id\": \"a30200bebc4d6ccc5048f07c4410d0d10b25300c\",\n \"content_id\": \"e0a5e2c9d58b6f1daf4068b2939874a93bf88340\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 5428,\n \"license_type\": \"no_license\",\n \"max_line_length\": 88,\n \"num_lines\": 211,\n \"path\": \"/motiky/views/admin.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\n# author: notedit <notedit@gmail.com>\\n\\nimport os\\nimport sys \\nimport time\\nimport uuid\\nimport logging\\nfrom datetime import datetime\\n\\nimport requests\\n\\nimport flask\\nfrom flask import g\\nfrom flask import request\\nfrom flask import Blueprint\\nfrom flask import redirect\\nfrom flask import Response\\nfrom flask import current_app\\nfrom flask import session\\nfrom flask import jsonify\\nfrom flask import flash\\nfrom flask.views import MethodView\\nfrom flask.views import View\\n\\nfrom werkzeug import secure_filename\\n\\nfrom motiky import authutil\\nfrom motiky.logic import backend\\nfrom motiky.coreutil import BackendError\\nfrom motiky.logic.models import User,Post,Report,Install,\\\\\\n UserFollowAsso,UserLikeAsso,Comment,Activity,Tag,Tagging,\\\\\\n CmsUser,Storage\\n\\nfrom motiky.upyun import UpYun,md5,md5file\\n\\ninstance = Blueprint('admin',__name__)\\n\\nupYun = UpYun('xxxxxx','xxxxxx','xxxxxx')\\nupYun.setApiDomain('v0.api.upyun.com')\\nupYun.debug = True\\n\\n@instance.route('/users')\\ndef users_list():\\n page = request.values.get('page','1')\\n try:\\n page = int(page)\\n except:\\n page = 1\\n\\n _users = User.query.order_by(User.date_create.desc()).limit(20).\\\\\\n offset((page - 1) * 20).all()\\n\\n users_count = User.query.count()\\n\\n users = []\\n for u in _users:\\n us = u.json\\n users.append(us)\\n\\n total_page = (users_count + 19) / 20\\n \\n return render_template('user_list.html',users=users,page=page,total_page=total_page)\\n\\n\\n@instance.route('/posts')\\ndef post_list():\\n page = request.values.get('page','1')\\n try:\\n page = int(page)\\n except:\\n page = 1\\n\\n _posts = Post.query.order_by(Post.date_create.desc()).limit(20).\\\\\\n offset((page - 1) * 20).all()\\n \\n posts_count = Post.query.count()\\n\\n posts = []\\n for po in _posts:\\n pos = po.json\\n user = po.user.json\\n pos['user'] = user\\n posts.append(pos)\\n\\n total_page = (posts_count + 19) / 20\\n \\n return render_template('post_list.html',posts=posts,count=posts_count,\\n page=page,total_page=total_page)\\n\\n@instance.route('/post/<int:post_id>/recommend')\\ndef post_recommend(post_id):\\n post = Post.query.get(post_id)\\n post.recommended = True\\n db.session.commit()\\n return redirect('/admin/posts')\\n\\n@instance.route('/post/<int:post_id>/not_recommend')\\ndef post_recommend(post_id):\\n post = Post.query.get(post_id)\\n post.recommended = False\\n db.session.commit()\\n return redirect('/admin/posts')\\n\\n@instance.route('/post/<int:post_id>/show')\\ndef post_recommend(post_id):\\n post = Post.query.get(post_id)\\n post.show = True\\n db.session.commit()\\n return redirect('/admin/posts')\\n\\n@instance.route('/post/<int:post_id>/hide')\\ndef post_recommend(post_id):\\n post = Post.query.get(post_id)\\n post.show = False\\n db.session.commit()\\n return redirect('/admin/posts')\\n\\n@instance.route('/tags')\\ndef tag_list():\\n page = request.values.get('page','1')\\n try:\\n page = int(page)\\n except:\\n page = 1\\n\\n _tags = Tag.query.order_by(Post.date_create.desc()).limit(20).\\\\\\n offset((page - 1) * 20).all()\\n \\n tags_count = Tag.query.count()\\n\\n tags = []\\n for t in _tags:\\n t = t.json\\n tags.append(t)\\n\\n total_page = (tags_count + 19) / 20\\n \\n return render_template('tag_list.html',tags=tags,\\n page=page,total_page=total_page)\\n\\n@instance.route('/add_tag')\\ndef add_tag():\\n if request.method == 'GET':\\n return render_template('add_tag.html')\\n\\n name = request.values.get('name')\\n pic_url = request.values.get('pic_url')\\n order_seq = request.values.get('order_seq')\\n show = request.values.get('show') == 'true' or False\\n recommended = request.values.get('recommended') == 'true' or False\\n\\n tag = Tag()\\n tag.name = name\\n tag.pic_url = pic_url\\n tag.order_seq = order_seq\\n tag.show = show\\n tag.recommended = recommended\\n\\n try:\\n db.session.add(tag)\\n db.session.commit()\\n except:\\n db.session.rollback()\\n raise\\n else:\\n return redirect('/admin/tags')\\n\\n@instance.route('/tag/<int:tag_id>/edit')\\ndef edit_tag(tag_id):\\n tag = Tag.query.get(tag_id)\\n\\n if request.method == 'GET':\\n return render_template('edit_tag.html',tag=tag.json)\\n\\n name = request.values.get('name')\\n pic_url = request.values.get('pic_url')\\n order_seq = request.values.get('order_seq')\\n show = request.values.get('show') == 'true' or False\\n recommended = request.values.get('recommended') == 'true' or False\\n\\n tag.name = name\\n tag.pic_url = pic_url\\n tag.order_seq = order_seq\\n tag.show = show\\n tag.recommended = recommended\\n\\n try:\\n db.session.commit()\\n except:\\n db.session.rollback()\\n raise\\n else:\\n return redirect('/admin/tags')\\n\\n\\n@instance.route('/upload',methods=['POST','GET'])\\ndef upload():\\n if request.method == 'GET':\\n return render_template('upload.html',file_name='')\\n\\n pic_file = request.files.get('upload')\\n fname = secure_filename(pic_file.filename)\\n extn = os.path.splitext(fname)[1]\\n cname = '/' + str(uuid.uuid4()) + str(extn)\\n pic_data = strutil.read_data(pic_file)\\n upYun.writeFile(cname,pic_data)\\n \\n cname = upyun_prefix + cname\\n return render_template('upload.html',file_name=cname)\\n\\n\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.5363573431968689,\n \"alphanum_fraction\": 0.5702043175697327,\n \"avg_line_length\": 33.687686920166016,\n \"blob_id\": \"8c7f7069f71a096ddc91c337e5de6c2770b7e5a0\",\n \"content_id\": \"fb2d840a75449d6e11e697bee1b66c03f7f2c36d\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 11552,\n \"license_type\": \"no_license\",\n \"max_line_length\": 83,\n \"num_lines\": 333,\n \"path\": \"/tests/test_backend.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\n\\nimport os\\nimport sys\\nimport types\\nimport json\\nimport time\\nfrom datetime import datetime\\nfrom datetime import timedelta\\nfrom tests import TestCase\\n\\n\\nfrom motiky.logic.models import User,Post,UserLikeAsso,Report,Install,\\\\\\n UserFollowAsso,Comment,Activity,Action,Tag,Tagging\\n\\nfrom motiky.logic import backend\\n\\nfrom motiky.configs import db,redis\\n\\nclass TestUserLogic(TestCase):\\n\\n def test_get_user(self):\\n user = User(username='username01',photo_url='photo_url01',uid='weibo_id01')\\n db.session.add(user)\\n db.session.commit()\\n\\n _user = backend.get_user(user.id)\\n assert _user['username'] == user.username\\n\\n\\n def test_add_user(self):\\n user = backend.add_user('username','photo_url','weibo_id')\\n assert user['username'] == 'username'\\n\\n def test_set_user(self):\\n user = backend.add_user('username','photo_url','weibo_id')\\n _user = backend.set_user(user['id'],{'username':'username2',\\n 'photo_url':'photo_url2'})\\n assert _user['username'] == 'username2'\\n\\n def test_get_user_by_uid(self):\\n user1 = backend.add_user('username01','photo_url01','weibo_id01')\\n user2 = backend.add_user('username02','photo_url02','weibo_id02')\\n \\n user = backend.get_user_by_uid(user1['uid'])\\n assert user['username'] == user1['username']\\n\\n users = backend.get_user_by_uid([user1['uid'],user2['uid']])\\n assert len(users) == 2\\n\\n\\n def test_follow_user(self):\\n user1 = backend.add_user('username01','photo_url01','weibo_id01')\\n user2 = backend.add_user('username02','photo_url02','weibo_id02')\\n\\n ret = backend.follow_user(user1['id'],user2['id'])\\n assert ret > 0\\n\\n def test_unfollow_user(self):\\n user1 = backend.add_user('username01','photo_url01','weibo_id01')\\n user2 = backend.add_user('username02','photo_url02','weibo_id02')\\n\\n ret = backend.follow_user(user1['id'],user2['id'])\\n\\n ret = backend.unfollow_user(user1['id'],user2['id'])\\n assert ret == True\\n\\n def test_is_following_user(self):\\n user1 = backend.add_user('username01','photo_url01','weibo_id01')\\n user2 = backend.add_user('username02','photo_url02','weibo_id02')\\n\\n backend.follow_user(user1['id'],user2['id'])\\n ret = backend.is_following_user(user1['id'],user2['id'])\\n assert ret == True\\n\\n def test_get_user_following(self):\\n user1 = backend.add_user('username01','photo_url01','weibo_id01')\\n user2 = backend.add_user('username02','photo_url02','weibo_id02')\\n user3 = backend.add_user('username03','photo_url03','weibo_id03')\\n\\n backend.follow_user(user1['id'],user2['id'])\\n backend.follow_user(user1['id'],user3['id'])\\n\\n users = backend.get_user_following(user1['id'])\\n assert len(users) == 2\\n\\n count = backend.get_user_following_count(user1['id'])\\n assert count == 2\\n\\n def test_get_user_follower(self):\\n user1 = backend.add_user('username01','photo_url01','weibo_id01')\\n user2 = backend.add_user('username02','photo_url02','weibo_id02')\\n user3 = backend.add_user('username03','photo_url03','weibo_id03')\\n\\n backend.follow_user(user2['id'],user1['id'])\\n backend.follow_user(user3['id'],user1['id'])\\n\\n users = backend.get_user_follower(user1['id'])\\n assert len(users) == 2\\n \\n count = backend.get_user_follower_count(user1['id'])\\n assert count == 2\\n \\n\\nclass TestPostLogic(TestCase):\\n\\n def test_get_post(self):\\n user = backend.add_user('username','photo_url','weibo_id')\\n post = Post(title='title',author_id=user['id'],pic_small='pic_small')\\n db.session.add(post)\\n db.session.commit()\\n\\n _post = backend.get_post(post.id)\\n assert _post['title'] == 'title'\\n\\n def test_add_post(self):\\n user = backend.add_user('username','photo_url','weibo_id')\\n post = backend.add_post('title',user['id'],'video_url',\\n pic_small='pic_small')\\n \\n assert post['title'] == 'title'\\n\\n post = backend.set_post(post['id'],{'title':'title2'})\\n assert post['title'] == 'title2'\\n\\n def test_get_user_post(self):\\n user = backend.add_user('username','photo_url','weibo_id')\\n post1 = backend.add_post('title1',user['id'],'video_url',\\n pic_small='pic_small')\\n post2 = backend.add_post('title2',user['id'],'video_url',\\n pic_small='pic_small')\\n \\n posts = backend.get_user_post(user['id'])\\n assert len(posts) == 2\\n\\n count = backend.get_user_post_count(user['id'])\\n assert count == 2\\n\\n\\n def test_get_user_liked_post(self):\\n user1 = backend.add_user('username1','photo_url','weibo_id1')\\n user2 = backend.add_user('username2','photo_url','weibo_id2')\\n post1 = backend.add_post('title1',user1['id'],'video_url',\\n pic_small='pic_small')\\n post2 = backend.add_post('title2',user1['id'],'video_url',\\n pic_small='pic_small')\\n\\n ula1 = UserLikeAsso(user_id=user2['id'],post_id=post1['id'])\\n ula2 = UserLikeAsso(user_id=user2['id'],post_id=post2['id'])\\n db.session.add(ula1)\\n db.session.add(ula2)\\n db.session.commit()\\n\\n posts = backend.get_user_liked_post(user2['id'])\\n assert len(posts) == 2\\n\\n count = backend.get_user_liked_post_count(user2['id'])\\n assert count == 2\\n\\n\\n def test_add_like(self):\\n user1 = backend.add_user('username1','photo_url','weibo_id1')\\n post1 = backend.add_post('title1',user1['id'],'video_url',\\n pic_small='pic_small')\\n\\n ret = backend.add_like(user1['id'],post1['id'])\\n assert ret == 1\\n\\n ret = backend.del_like(user1['id'],post1['id'])\\n assert ret == True\\n\\n def test_is_like_post(self):\\n user1 = backend.add_user('username1','photo_url','weibo_id1')\\n post1 = backend.add_post('title1',user1['id'],'video_url',\\n pic_small='pic_small')\\n post2 = backend.add_post('title2',user1['id'],'video_url',\\n pic_small='pic_small')\\n\\n backend.add_like(user1['id'],post1['id'])\\n backend.add_like(user1['id'],post2['id'])\\n\\n ret = backend.is_like_post(user1['id'],[post1['id'],post2['id']])\\n assert ret[post1['id']] == True\\n\\n\\nclass TestActivityLogic(TestCase):\\n\\n def test_add_activity(self):\\n user1 = backend.add_user('username1','photo_url','weibo_id1')\\n user2 = backend.add_user('username2','photo_url','weibo_id2')\\n post1 = backend.add_post('title1',user1['id'],'video_url',\\n pic_small='pic_small')\\n post2 = backend.add_post('title2',user1['id'],'video_url',\\n pic_small='pic_small')\\n\\n ac1 = {\\n 'post_id':post1['id'],\\n 'from_id':user1['id'],\\n 'to_id':user2['id'],\\n 'atype':'like'\\n }\\n ac2 = {\\n 'post_id':post1['id'],\\n 'from_id':user1['id'],\\n 'to_id':user2['id'],\\n 'atype':'comment'\\n }\\n\\n ret = backend.add_activity(ac1)\\n assert ret['to_id'] == user2['id']\\n ret = backend.add_activity(ac2)\\n\\n rets = backend.get_activity_by_user(user2['id'])\\n assert len(rets) == 2\\n\\n\\nclass TestOtherLogic(TestCase):\\n\\n def test_new_install(self):\\n user1 = backend.add_user('username1','photo_url','weibo_id1')\\n device_token = '1234567890'\\n install = backend.new_install(user1['id'],device_token)\\n assert install['device_token'] == device_token\\n\\n install = backend.get_install_by_user(user1['id'])\\n\\n assert install['device_token'] == device_token\\n\\n install = backend.set_install(user1['id'],{'badge':20})\\n print install\\n assert install['badge'] == 20\\n\\n def test_add_file_data(self):\\n st = backend.add_file_data(10,'1234567890')\\n st = backend.add_file_data(10,'123243435454545')\\n assert len(st) == 36\\n\\nclass TestCommentLogic(TestCase):\\n\\n def test_comment(self):\\n user1 = backend.add_user('username1','photo_url','weibo_id1')\\n user2 = backend.add_user('username2','photo_url','weibo_id2')\\n post1 = backend.add_post('title1',user1['id'],'video_url',\\n pic_small='pic_small')\\n post2 = backend.add_post('title2',user1['id'],'video_url',\\n pic_small='pic_small')\\n\\n \\n comment1 = backend.add_comment(post1['id'],'comment1',user2['id'])\\n assert comment1['post_id'] == post1['id']\\n\\n comment2 = backend.add_comment(post1['id'],'comment2',user2['id'])\\n \\n comments = backend.get_post_comment(post1['id'])\\n\\n assert len(comments) == 2\\n \\n ret = backend.get_post_comment_count(post1['id'])\\n assert ret == 2\\n\\nclass TestTagLogic(TestCase):\\n\\n def test_tag(self):\\n\\n tag1 = Tag(name='tag1',show=True,pic_url='pic_url',\\n recommended=True)\\n tag2 = Tag(name='tag2',show=True,pic_url='pic_url',\\n recommended=True)\\n db.session.add(tag1)\\n db.session.add(tag2)\\n db.session.commit()\\n\\n tags = backend.get_all_tags()\\n assert len(tags) == 2\\n\\n tags = backend.get_recommend_tags()\\n assert len(tags) == 2\\n\\n tag = backend.get_tag(tag1.id)\\n\\n assert tag['name'] == 'tag1'\\n \\n user = backend.add_user('username','photo_url','weibo_id')\\n post1 = backend.add_post('title1',user['id'],'video_url',\\n pic_small='pic_small')\\n post2 = backend.add_post('title2',user['id'],'video_url',\\n pic_small='pic_small')\\n\\n tagging1 = Tagging(taggable_type='post',taggable_id=post1['id'],\\n tag_id=tag1.id)\\n tagging2 = Tagging(taggable_type='post',taggable_id=post2['id'],\\n tag_id=tag1.id)\\n \\n db.session.add(tagging1)\\n db.session.add(tagging2)\\n db.session.commit()\\n\\n posts = backend.get_tag_post(tag1.id)\\n assert len(posts) == 2\\n\\n post_count = backend.get_tag_post_count(tag1.id)\\n assert post_count == 2\\n \\n \\nclass TestFeedLogic(TestCase):\\n\\n def test_get_latest_feed(self):\\n user1 = backend.add_user('username01','photo_url01','weibo_id01')\\n user2 = backend.add_user('username02','photo_url02','weibo_id02')\\n user3 = backend.add_user('username03','photo_url03','weibo_id03') \\n user4 = backend.add_user('username04','photo_url04','weibo_id04')\\n\\n post1 = backend.add_post('title01',user1['id'],'video_url01',\\n pic_small='pic_small01')\\n post2 = backend.add_post('title02',user2['id'],'video_url02',\\n pic_small='pic_small')\\n post3 = backend.add_post('title03',user3['id'],'video_url03',\\n pic_small='pic_small03')\\n post4 = backend.add_post('title04',user4['id'],'video_url04',\\n pic_small='pic_small04')\\n\\n backend.follow_user(user4['id'],user1['id'])\\n backend.follow_user(user4['id'],user2['id'])\\n \\n\\n ret = backend.get_latest_feed(user4['id'],limit=10,offset=0)\\n assert len(ret) == 3\\n\\n backend.set_post(post3['id'],{'recommended':True})\\n\\n ret = backend.get_latest_feed(user4['id'],limit=10,offset=0)\\n assert len(ret) == 4\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.6107403635978699,\n \"alphanum_fraction\": 0.6199555397033691,\n \"avg_line_length\": 29.230770111083984,\n \"blob_id\": \"d30c4dce8d52192569bcad07d392aea70a0d8377\",\n \"content_id\": \"fbd7752fee2968032b3e0893709a42d06a9491d6\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 3147,\n \"license_type\": \"no_license\",\n \"max_line_length\": 90,\n \"num_lines\": 104,\n \"path\": \"/motiky/views/activity.py\",\n \"repo_name\": \"imgarth/motiky\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# author: notedit <notedit@gmail.com>\\n# date: 2013-04-10\\n\\nimport sys \\nimport time\\nimport logging\\nimport traceback\\nfrom datetime import datetime\\n\\nfrom flask import g\\nfrom flask import request\\nfrom flask import Blueprint\\nfrom flask import redirect\\nfrom flask import Response\\nfrom flask import current_app\\nfrom flask import session\\nfrom flask import jsonify\\nfrom flask import flash\\nfrom flask.views import MethodView\\nfrom flask.views import View\\n\\nfrom motiky import authutil\\nfrom motiky.logic import backend\\nfrom motiky.coreutil import BackendError\\nfrom motiky.cacheutil import rcache\\nfrom motiky.configs import rq,redis\\n\\ninstance = Blueprint('activity',__name__)\\n\\nACTIVITY_UPDATE_TIME_KEY = 'ACTIVITY::UPDATETIME::%(user_id)s'\\n\\n# atype follow like comment post_reco text\\n\\ndef filter_activity(ac):\\n # todo\\n if ac['atype'] in ('follow','like','comment'):\\n _user = rcache(3600*24)(backend.get_user)(ac['from_id'])\\n ac.update({'user':_user})\\n\\n if ac['atype'] in ('like','comment','post_reco'):\\n _post = rcache(3600*24)(backend.get_post)(ac['post_id'])\\n ac.update({'post':_post})\\n\\n if ac['atype'] in ('comment'):\\n _comment = rcache(3600*24)(backend.get_comment)(ac['comment_id'])\\n ac.update({'comment':_comment})\\n\\n return ac\\n\\nclass UserNewActivityCountView(MethodView):\\n\\n def get(self,user_id):\\n activity_time_meta = redis.hgetall(ACTIVITY_UPDATE_TIME_KEY % \\\\\\n {'user_id':user_id})\\n try:\\n last_update_time = int(activity_time_meta.get('last_update_time'))\\n except:\\n last_update_time = int(time.time())\\n\\n last_update_time = datetime.fromtimestamp(last_update_time)\\n count = backend.get_new_activity_count(user_id,last_update_time)\\n\\n return jsonify(count=count)\\n\\nclass UserActivityView(MethodView):\\n\\n def get(self,user_id):\\n acs = backend.get_activity_by_user(user_id)\\n ac_list = []\\n for ac in acs:\\n try:\\n ac = filter_activity(ac)\\n except:\\n traceback.print_exc()\\n continue\\n ac_list.append(ac)\\n\\n try:\\n _user = backend.get_user(user_id)\\n except BackendError,ex:\\n traceback.print_exc()\\n try:\\n backend.set_install(user_id,{'badge':0})\\n rq.enqueue('motiky.worker.apns_push',\\n user_id=user_id,data={\\n 'badge':0\\n })\\n except BackendError,ex:\\n traceback.print_exc()\\n\\n redis.hset(ACTIVITY_UPDATE_TIME_KEY % {'user_id':user_id},\\n 'last_update_time',int(time.time()))\\n\\n return jsonify(results=ac_list)\\n\\nuser_activity_func = UserActivityView.as_view('user_activity')\\nuser_new_activity_count_func = UserNewActivityCountView.as_view('user_new_activity_count')\\n\\ninstance.add_url_rule('/user/<int:user_id>/activity',\\n view_func=user_activity_func,methods=['GET'])\\n\\ninstance.add_url_rule('/user/<int:user_id>/activity/count',\\n view_func=user_new_activity_count_func,methods=['GET'])\\n\\n\\n\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":43,"string":"43"}}},{"rowIdx":2980095,"cells":{"repo_name":{"kind":"string","value":"felixjchen/aisle-go"},"repo_url":{"kind":"string","value":"https://github.com/felixjchen/aisle-go"},"snapshot_id":{"kind":"string","value":"a1539e41c091ee697c078ccb70c1204dfdb9c053"},"revision_id":{"kind":"string","value":"a54a41b0c19e4b8e5ce3e08072e2876646f5f780"},"directory_id":{"kind":"string","value":"5ddec3ef01c3e9c21b98b4ab681e205b704576f2"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2023-06-30T19:44:37.463258","string":"2023-06-30T19:44:37.463258"},"revision_date":{"kind":"timestamp","value":"2020-10-12T17:41:17","string":"2020-10-12T17:41:17"},"committer_date":{"kind":"timestamp","value":"2020-10-12T17:41:17","string":"2020-10-12T17:41:17"},"github_id":{"kind":"number","value":279742521,"string":"279,742,521"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"timestamp","value":"2020-07-15T02:31:37","string":"2020-07-15T02:31:37"},"gha_updated_at":{"kind":"timestamp","value":"2020-10-12T17:41:20","string":"2020-10-12T17:41:20"},"gha_pushed_at":{"kind":"timestamp","value":"2021-08-05T00:44:48","string":"2021-08-05T00:44:48"},"gha_language":{"kind":"string","value":"JavaScript"},"files":{"kind":"list like","value":[{"alpha_fraction":0.5565455555915833,"alphanum_fraction":0.5664839148521423,"avg_line_length":29.082473754882812,"blob_id":"d73e9ea434085aee45bdd1c432afd4c4b2feb47d","content_id":"88d40121f6b95712ae4bea0ea3e1b7f99a4c0927","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2918,"license_type":"no_license","max_line_length":82,"num_lines":97,"path":"/src/recommendation/recommendItems.py","repo_name":"felixjchen/aisle-go","src_encoding":"UTF-8","text":"import json\n\n\ndef jsonLoad(filePath='../db/history.json'):\n with open('db/history.json', 'r') as f:\n data = json.load(f)\n return data\n\n\ndef getShoppingList(data, user):\n for usr in data[\"users\"]:\n if usr == user:\n dataList = data[\"users\"][usr][\"shoppinglist\"]\n shoppingList = []\n for item in dataList:\n if not dataList[item][\"purchase_by\"]:\n shoppingList.append(dataList[item][\"name\"])\n return shoppingList\n return None\n\n\ndef getPruchaseHistory(data, pruchaser, pruchasedFor):\n purchases, allPurchases = [], []\n for usr in data[\"users\"]:\n datalist = data[\"users\"][usr][\"shoppinglist\"]\n for item in datalist:\n if usr == pruchasedFor and datalist[item][\"purchase_by\"] == pruchaser:\n purchases.append(datalist[item][\"name\"])\n if datalist[item][\"purchase_by\"] == pruchaser:\n allPurchases.append(datalist[item][\"name\"])\n return purchases, allPurchases\n\n\ndef getPurchasesFor(purchaser, asker):\n data = jsonLoad()\n itemlib, purchases, allPurchases = {}, {}, {}\n countA, countB, countC = 0, 0, 0\n shoppingList = getShoppingList(data, asker)\n purchaseHistory = getPruchaseHistory(data, purchaser, asker)\n\n for item in shoppingList:\n if item not in itemlib:\n itemlib[item] = 1\n countA = countA + 1\n else:\n itemlib[item] = itemlib[item] + 1\n countA = countA + 1\n\n for item in purchaseHistory[0]:\n if item not in purchases:\n purchases[item] = 1\n countB = countB + 1\n else:\n purchases[item] = purchases[item] + 1\n countB = countB + 1\n\n for item in purchaseHistory[1]:\n if item not in allPurchases:\n allPurchases[item] = 1\n countC = countC + 1\n else:\n allPurchases[item] = allPurchases[item] + 1\n countC = countC + 1\n\n if countA == 0:\n countA = 1\n if countB == 0:\n countB = 1\n if countC == 0:\n countC = 1\n\n probItem = {}\n for item in purchases:\n if item not in probItem:\n probItem[item] = 0.6 * purchases[item] / countB\n\n for item in allPurchases:\n if item not in probItem:\n probItem[item] = 0.4 * allPurchases[item] / countC\n else:\n probItem[item] = probItem[item] + \\\n (0.4 * allPurchases[item] / countC)\n\n assignProb = {}\n for item in itemlib:\n if item in probItem:\n assignProb[item] = probItem[item]\n\n return probItem, assignProb\n\n\nif __name__ == \"__main__\":\n purchaser = \"nadiya.stakhyra@ibm.com\"\n asker = \"felix.chen@ibm.com\"\n probItem, assignProb = getPurchasesFor(purchaser, asker)\n print(\"All the items purchased by {}: {}\".format(purchaser, probItem))\n print(\"Prob for the items on {} list: {}\".format(asker, assignProb))\n"},{"alpha_fraction":0.7363057136535645,"alphanum_fraction":0.7464967966079712,"avg_line_length":23.53125,"blob_id":"fef4f471608f0de186e7bb72e2a90a0a2ea25ee7","content_id":"4fdb61864eef53fdb91808ad09b4936e7e74908b","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":791,"license_type":"no_license","max_line_length":120,"num_lines":32,"path":"/README.md","repo_name":"felixjchen/aisle-go","src_encoding":"UTF-8","text":"# Aisle Go\n\n## Summary\nAisle Go - as in “I’ll go shopping for you” - is a web app designed to bring safety and accessibility to the population.\n- https://redsweater.netlify.app/\nCreated for IBM Summer 2020 Intern hackathon\n\n## Technology\n- IBM Cloud CouchDB\n- IBM Carbon Components\n- Express.js, socket.io, bcrypt\n- Netlify\n- Docker Hub container, continous building with GitHub integration\n- Azure backend, continous delivery by webhook\n \n## Future\n - Integrate exisiting recommendation system, leverage newer AI techniques\n - Blockchain\n - Authorization\n \n## Credentials user:pass\n- felix.chen@ibm.com:a\n- nadiya.stakhyra@ibm.com:b\n- harrison.ossias@ibm.com:c\n- juwon.adeola@ibm.com:d\n- dhruvp11@ibm.com:e\n \nBackend\n- https://redsweater.azurewebsites.net/\n\nDockerhub\n- https://hub.docker.com/repository/docker/felixchen1998/redsweater/builds\n"},{"alpha_fraction":0.702479362487793,"alphanum_fraction":0.7272727489471436,"avg_line_length":11.199999809265137,"blob_id":"5d6c33f19d921965461e5e18ad4d644e7ffb50fa","content_id":"f839f3b078e451883c493ad3f506eeb2646dd1f3","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Dockerfile","length_bytes":121,"license_type":"no_license","max_line_length":19,"num_lines":10,"path":"/src/backend/Dockerfile","repo_name":"felixjchen/aisle-go","src_encoding":"UTF-8","text":"FROM node:14.2\n\nCOPY package.json .\nRUN npm install\n\nCOPY secrets.json .\nCOPY couchdb.js .\nCOPY app.js .\n\nCMD node app.js"},{"alpha_fraction":0.6356046795845032,"alphanum_fraction":0.6367328763008118,"avg_line_length":24.1875,"blob_id":"8c54895d033f5089bee2fc779e6e7904b615e52b","content_id":"c6cc7e5a0d903ac522d61caa1e07961ea7505edb","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"JavaScript","length_bytes":4432,"license_type":"no_license","max_line_length":89,"num_lines":176,"path":"/src/backend/app.js","repo_name":"felixjchen/aisle-go","src_encoding":"UTF-8","text":"const app = require('express')();\nconst http = require('http').Server(app);\nconst io = require('socket.io')(http);\nconst port = process.env.PORT || 80;\nconst {\n v4: uuidv4\n} = require(\"uuid\");\nconst {\n addUser,\n getUser,\n auth,\n addFriend,\n addShoppingItem,\n getFriends,\n getFriendsProfiles,\n addForFriend,\n updatePurchase,\n} = require(\"./couchdb\")\n\nvar socketToEmail = {}\nvar emailToSocket = {}\nvar emailToFriends = {}\n\napp.get('/', function (req, res) {\n res.send('redsweater backend');\n});\n\n\nio.on(\"connect\", (socket) => {\n // either with send()\n socket.send(\"Hello from websocket backend!\");\n\n socket.on(\"loginAttempt\", async (email, password, callback) => {\n let r = await auth(email, password)\n\n // Fail\n if (!r.status) {\n callback(r)\n }\n\n emailToSocket[email] = socket.id\n socketToEmail[socket.id] = email\n emailToFriends[email] = user.friends\n callback(r)\n })\n\n socket.on(\"addItemAttempt\", async (email, item, callback) => {\n\n let itemID = uuidv4()\n item['in_list'] = \"\"\n item['purchase_by'] = \"\"\n\n // Tell all my friends new item\n let friendSockets = getFriendSockets(socket.id)\n let myEmail = socketToEmail[socket.id]\n friendSockets.forEach(friendSocket => {\n // Update feed\n let msg = `${email} has added ${item.name} to their cart`\n io.to(friendSocket).emit('updateFeed', msg);\n\n // Add item to friends list\n io.to(friendSocket).emit('friendNewItem', myEmail, itemID, item);\n })\n\n let r = {\n status: await addShoppingItem(email, itemID, item),\n itemID\n }\n\n callback(r)\n })\n\n socket.on(\"addFriendAttempt\", async (email, friendEmail, callback) => {\n\n let r = {\n status: await addFriend(email, friendEmail),\n user: await getUser(email),\n friends: await getFriendsProfiles(email)\n }\n\n // Only if add friend is succesful\n if (r.status) {\n emailToFriends[email].push(friendEmail)\n emailToFriends[friendEmail].push(email)\n\n // Tell all my friends feeds\n let friendSockets = getFriendSockets(socket.id)\n friendSockets.forEach(friendSocket => {\n let msg = `${email} and ${friendEmail} are now friends`\n io.to(friendSocket).emit('updateFeed', msg);\n })\n\n // new friend rerender\n let friendSocket = emailToSocket[friendEmail]\n let f = {\n user: await getUser(friendEmail),\n friends: await getFriendsProfiles(friendEmail)\n }\n io.to(friendSocket).emit('render', f);\n\n // I render\n callback(r)\n }\n })\n\n\n socket.on(\"claimForFriendAttempt\", async (email, friendEmail, itemID, callback) => {\n\n let r = {\n item: await addForFriend(email, friendEmail, itemID),\n user: await getUser(email),\n friends: await getFriendsProfiles(email)\n }\n\n // Tell all my friends, that email claimed friendEmail's item\n let friendSockets = getFriendSockets(socket.id)\n friendSockets.forEach(friendSocket => {\n let msg = `${email} is going to get ${r.item.name} for ${friendEmail}`\n io.to(friendSocket).emit('updateFeed', msg);\n\n io.to(friendSocket).emit('friendClaimed', email, itemID)\n })\n\n callback(r)\n })\n\n\n socket.on(\"purchaseForFriendAttempt\", async (email, friendEmail, itemID, callback) => {\n console.log(email, friendEmail, itemID)\n let r = {\n item: await updatePurchase(friendEmail, itemID, email)\n }\n\n if (r.item != false) {\n\n // tell friend rerender\n let friendSocket = emailToSocket[friendEmail]\n let f = {\n user: await getUser(friendEmail),\n friends: await getFriendsProfiles(friendEmail)\n }\n io.to(friendSocket).emit('render', f);\n\n // Tell all my friends feeds\n let friendSockets = getFriendSockets(socket.id)\n friendSockets.forEach(friendSocket => {\n let msg = `${email} has purchased ${r.item.name} for ${friendEmail}`\n io.to(friendSocket).emit('updateFeed', msg);\n })\n\n callback(r)\n }\n\n })\n});\n\nconst getFriendSockets = (mySocketID) => {\n let myEmail = socketToEmail[mySocketID]\n let friendEmails = emailToFriends[myEmail]\n let friendSockets = []\n\n friendEmails.forEach(friendEmail => {\n if (friendEmail in emailToSocket) {\n friendSockets.push(emailToSocket[friendEmail])\n }\n });\n\n return friendSockets\n}\n\n\nhttp.listen(port, function () {\n console.log('listening on *:' + port);\n});\n\n// https://github.com/socketio/chat-example"},{"alpha_fraction":0.774193525314331,"alphanum_fraction":0.8602150678634644,"avg_line_length":46,"blob_id":"a54f8a2d4f12bc93cbd263792700885020aac9cd","content_id":"c1a9a971da30c32c9a39427e5a074c21f5c02454","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Shell","length_bytes":93,"license_type":"no_license","max_line_length":49,"num_lines":2,"path":"/src/backend/buildAndPush.sh","repo_name":"felixjchen/aisle-go","src_encoding":"UTF-8","text":"docker build -t felixchen1998/redsweater:latest .\ndocker push felixchen1998/redsweater:latest"}],"string":"[\n {\n \"alpha_fraction\": 0.5565455555915833,\n \"alphanum_fraction\": 0.5664839148521423,\n \"avg_line_length\": 29.082473754882812,\n \"blob_id\": \"d73e9ea434085aee45bdd1c432afd4c4b2feb47d\",\n \"content_id\": \"88d40121f6b95712ae4bea0ea3e1b7f99a4c0927\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2918,\n \"license_type\": \"no_license\",\n \"max_line_length\": 82,\n \"num_lines\": 97,\n \"path\": \"/src/recommendation/recommendItems.py\",\n \"repo_name\": \"felixjchen/aisle-go\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import json\\n\\n\\ndef jsonLoad(filePath='../db/history.json'):\\n with open('db/history.json', 'r') as f:\\n data = json.load(f)\\n return data\\n\\n\\ndef getShoppingList(data, user):\\n for usr in data[\\\"users\\\"]:\\n if usr == user:\\n dataList = data[\\\"users\\\"][usr][\\\"shoppinglist\\\"]\\n shoppingList = []\\n for item in dataList:\\n if not dataList[item][\\\"purchase_by\\\"]:\\n shoppingList.append(dataList[item][\\\"name\\\"])\\n return shoppingList\\n return None\\n\\n\\ndef getPruchaseHistory(data, pruchaser, pruchasedFor):\\n purchases, allPurchases = [], []\\n for usr in data[\\\"users\\\"]:\\n datalist = data[\\\"users\\\"][usr][\\\"shoppinglist\\\"]\\n for item in datalist:\\n if usr == pruchasedFor and datalist[item][\\\"purchase_by\\\"] == pruchaser:\\n purchases.append(datalist[item][\\\"name\\\"])\\n if datalist[item][\\\"purchase_by\\\"] == pruchaser:\\n allPurchases.append(datalist[item][\\\"name\\\"])\\n return purchases, allPurchases\\n\\n\\ndef getPurchasesFor(purchaser, asker):\\n data = jsonLoad()\\n itemlib, purchases, allPurchases = {}, {}, {}\\n countA, countB, countC = 0, 0, 0\\n shoppingList = getShoppingList(data, asker)\\n purchaseHistory = getPruchaseHistory(data, purchaser, asker)\\n\\n for item in shoppingList:\\n if item not in itemlib:\\n itemlib[item] = 1\\n countA = countA + 1\\n else:\\n itemlib[item] = itemlib[item] + 1\\n countA = countA + 1\\n\\n for item in purchaseHistory[0]:\\n if item not in purchases:\\n purchases[item] = 1\\n countB = countB + 1\\n else:\\n purchases[item] = purchases[item] + 1\\n countB = countB + 1\\n\\n for item in purchaseHistory[1]:\\n if item not in allPurchases:\\n allPurchases[item] = 1\\n countC = countC + 1\\n else:\\n allPurchases[item] = allPurchases[item] + 1\\n countC = countC + 1\\n\\n if countA == 0:\\n countA = 1\\n if countB == 0:\\n countB = 1\\n if countC == 0:\\n countC = 1\\n\\n probItem = {}\\n for item in purchases:\\n if item not in probItem:\\n probItem[item] = 0.6 * purchases[item] / countB\\n\\n for item in allPurchases:\\n if item not in probItem:\\n probItem[item] = 0.4 * allPurchases[item] / countC\\n else:\\n probItem[item] = probItem[item] + \\\\\\n (0.4 * allPurchases[item] / countC)\\n\\n assignProb = {}\\n for item in itemlib:\\n if item in probItem:\\n assignProb[item] = probItem[item]\\n\\n return probItem, assignProb\\n\\n\\nif __name__ == \\\"__main__\\\":\\n purchaser = \\\"nadiya.stakhyra@ibm.com\\\"\\n asker = \\\"felix.chen@ibm.com\\\"\\n probItem, assignProb = getPurchasesFor(purchaser, asker)\\n print(\\\"All the items purchased by {}: {}\\\".format(purchaser, probItem))\\n print(\\\"Prob for the items on {} list: {}\\\".format(asker, assignProb))\\n\"\n },\n {\n \"alpha_fraction\": 0.7363057136535645,\n \"alphanum_fraction\": 0.7464967966079712,\n \"avg_line_length\": 23.53125,\n \"blob_id\": \"fef4f471608f0de186e7bb72e2a90a0a2ea25ee7\",\n \"content_id\": \"4fdb61864eef53fdb91808ad09b4936e7e74908b\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 791,\n \"license_type\": \"no_license\",\n \"max_line_length\": 120,\n \"num_lines\": 32,\n \"path\": \"/README.md\",\n \"repo_name\": \"felixjchen/aisle-go\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# Aisle Go\\n\\n## Summary\\nAisle Go - as in “I’ll go shopping for you” - is a web app designed to bring safety and accessibility to the population.\\n- https://redsweater.netlify.app/\\nCreated for IBM Summer 2020 Intern hackathon\\n\\n## Technology\\n- IBM Cloud CouchDB\\n- IBM Carbon Components\\n- Express.js, socket.io, bcrypt\\n- Netlify\\n- Docker Hub container, continous building with GitHub integration\\n- Azure backend, continous delivery by webhook\\n \\n## Future\\n - Integrate exisiting recommendation system, leverage newer AI techniques\\n - Blockchain\\n - Authorization\\n \\n## Credentials user:pass\\n- felix.chen@ibm.com:a\\n- nadiya.stakhyra@ibm.com:b\\n- harrison.ossias@ibm.com:c\\n- juwon.adeola@ibm.com:d\\n- dhruvp11@ibm.com:e\\n \\nBackend\\n- https://redsweater.azurewebsites.net/\\n\\nDockerhub\\n- https://hub.docker.com/repository/docker/felixchen1998/redsweater/builds\\n\"\n },\n {\n \"alpha_fraction\": 0.702479362487793,\n \"alphanum_fraction\": 0.7272727489471436,\n \"avg_line_length\": 11.199999809265137,\n \"blob_id\": \"5d6c33f19d921965461e5e18ad4d644e7ffb50fa\",\n \"content_id\": \"f839f3b078e451883c493ad3f506eeb2646dd1f3\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Dockerfile\",\n \"length_bytes\": 121,\n \"license_type\": \"no_license\",\n \"max_line_length\": 19,\n \"num_lines\": 10,\n \"path\": \"/src/backend/Dockerfile\",\n \"repo_name\": \"felixjchen/aisle-go\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"FROM node:14.2\\n\\nCOPY package.json .\\nRUN npm install\\n\\nCOPY secrets.json .\\nCOPY couchdb.js .\\nCOPY app.js .\\n\\nCMD node app.js\"\n },\n {\n \"alpha_fraction\": 0.6356046795845032,\n \"alphanum_fraction\": 0.6367328763008118,\n \"avg_line_length\": 24.1875,\n \"blob_id\": \"8c54895d033f5089bee2fc779e6e7904b615e52b\",\n \"content_id\": \"c6cc7e5a0d903ac522d61caa1e07961ea7505edb\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"JavaScript\",\n \"length_bytes\": 4432,\n \"license_type\": \"no_license\",\n \"max_line_length\": 89,\n \"num_lines\": 176,\n \"path\": \"/src/backend/app.js\",\n \"repo_name\": \"felixjchen/aisle-go\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"const app = require('express')();\\nconst http = require('http').Server(app);\\nconst io = require('socket.io')(http);\\nconst port = process.env.PORT || 80;\\nconst {\\n v4: uuidv4\\n} = require(\\\"uuid\\\");\\nconst {\\n addUser,\\n getUser,\\n auth,\\n addFriend,\\n addShoppingItem,\\n getFriends,\\n getFriendsProfiles,\\n addForFriend,\\n updatePurchase,\\n} = require(\\\"./couchdb\\\")\\n\\nvar socketToEmail = {}\\nvar emailToSocket = {}\\nvar emailToFriends = {}\\n\\napp.get('/', function (req, res) {\\n res.send('redsweater backend');\\n});\\n\\n\\nio.on(\\\"connect\\\", (socket) => {\\n // either with send()\\n socket.send(\\\"Hello from websocket backend!\\\");\\n\\n socket.on(\\\"loginAttempt\\\", async (email, password, callback) => {\\n let r = await auth(email, password)\\n\\n // Fail\\n if (!r.status) {\\n callback(r)\\n }\\n\\n emailToSocket[email] = socket.id\\n socketToEmail[socket.id] = email\\n emailToFriends[email] = user.friends\\n callback(r)\\n })\\n\\n socket.on(\\\"addItemAttempt\\\", async (email, item, callback) => {\\n\\n let itemID = uuidv4()\\n item['in_list'] = \\\"\\\"\\n item['purchase_by'] = \\\"\\\"\\n\\n // Tell all my friends new item\\n let friendSockets = getFriendSockets(socket.id)\\n let myEmail = socketToEmail[socket.id]\\n friendSockets.forEach(friendSocket => {\\n // Update feed\\n let msg = `${email} has added ${item.name} to their cart`\\n io.to(friendSocket).emit('updateFeed', msg);\\n\\n // Add item to friends list\\n io.to(friendSocket).emit('friendNewItem', myEmail, itemID, item);\\n })\\n\\n let r = {\\n status: await addShoppingItem(email, itemID, item),\\n itemID\\n }\\n\\n callback(r)\\n })\\n\\n socket.on(\\\"addFriendAttempt\\\", async (email, friendEmail, callback) => {\\n\\n let r = {\\n status: await addFriend(email, friendEmail),\\n user: await getUser(email),\\n friends: await getFriendsProfiles(email)\\n }\\n\\n // Only if add friend is succesful\\n if (r.status) {\\n emailToFriends[email].push(friendEmail)\\n emailToFriends[friendEmail].push(email)\\n\\n // Tell all my friends feeds\\n let friendSockets = getFriendSockets(socket.id)\\n friendSockets.forEach(friendSocket => {\\n let msg = `${email} and ${friendEmail} are now friends`\\n io.to(friendSocket).emit('updateFeed', msg);\\n })\\n\\n // new friend rerender\\n let friendSocket = emailToSocket[friendEmail]\\n let f = {\\n user: await getUser(friendEmail),\\n friends: await getFriendsProfiles(friendEmail)\\n }\\n io.to(friendSocket).emit('render', f);\\n\\n // I render\\n callback(r)\\n }\\n })\\n\\n\\n socket.on(\\\"claimForFriendAttempt\\\", async (email, friendEmail, itemID, callback) => {\\n\\n let r = {\\n item: await addForFriend(email, friendEmail, itemID),\\n user: await getUser(email),\\n friends: await getFriendsProfiles(email)\\n }\\n\\n // Tell all my friends, that email claimed friendEmail's item\\n let friendSockets = getFriendSockets(socket.id)\\n friendSockets.forEach(friendSocket => {\\n let msg = `${email} is going to get ${r.item.name} for ${friendEmail}`\\n io.to(friendSocket).emit('updateFeed', msg);\\n\\n io.to(friendSocket).emit('friendClaimed', email, itemID)\\n })\\n\\n callback(r)\\n })\\n\\n\\n socket.on(\\\"purchaseForFriendAttempt\\\", async (email, friendEmail, itemID, callback) => {\\n console.log(email, friendEmail, itemID)\\n let r = {\\n item: await updatePurchase(friendEmail, itemID, email)\\n }\\n\\n if (r.item != false) {\\n\\n // tell friend rerender\\n let friendSocket = emailToSocket[friendEmail]\\n let f = {\\n user: await getUser(friendEmail),\\n friends: await getFriendsProfiles(friendEmail)\\n }\\n io.to(friendSocket).emit('render', f);\\n\\n // Tell all my friends feeds\\n let friendSockets = getFriendSockets(socket.id)\\n friendSockets.forEach(friendSocket => {\\n let msg = `${email} has purchased ${r.item.name} for ${friendEmail}`\\n io.to(friendSocket).emit('updateFeed', msg);\\n })\\n\\n callback(r)\\n }\\n\\n })\\n});\\n\\nconst getFriendSockets = (mySocketID) => {\\n let myEmail = socketToEmail[mySocketID]\\n let friendEmails = emailToFriends[myEmail]\\n let friendSockets = []\\n\\n friendEmails.forEach(friendEmail => {\\n if (friendEmail in emailToSocket) {\\n friendSockets.push(emailToSocket[friendEmail])\\n }\\n });\\n\\n return friendSockets\\n}\\n\\n\\nhttp.listen(port, function () {\\n console.log('listening on *:' + port);\\n});\\n\\n// https://github.com/socketio/chat-example\"\n },\n {\n \"alpha_fraction\": 0.774193525314331,\n \"alphanum_fraction\": 0.8602150678634644,\n \"avg_line_length\": 46,\n \"blob_id\": \"a54f8a2d4f12bc93cbd263792700885020aac9cd\",\n \"content_id\": \"c1a9a971da30c32c9a39427e5a074c21f5c02454\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Shell\",\n \"length_bytes\": 93,\n \"license_type\": \"no_license\",\n \"max_line_length\": 49,\n \"num_lines\": 2,\n \"path\": \"/src/backend/buildAndPush.sh\",\n \"repo_name\": \"felixjchen/aisle-go\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"docker build -t felixchen1998/redsweater:latest .\\ndocker push felixchen1998/redsweater:latest\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":5,"string":"5"}}},{"rowIdx":2980096,"cells":{"repo_name":{"kind":"string","value":"arbaazkhan07/Django-MiniBlog"},"repo_url":{"kind":"string","value":"https://github.com/arbaazkhan07/Django-MiniBlog"},"snapshot_id":{"kind":"string","value":"2b390b91e9cc6d38f5b6a5865c11083c88e379cf"},"revision_id":{"kind":"string","value":"a8139376ab443961528e9d18bb0954a2e36efb11"},"directory_id":{"kind":"string","value":"f50ce5efa231602c3425d497244464843c077bf0"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2023-06-20T15:02:12.100842","string":"2023-06-20T15:02:12.100842"},"revision_date":{"kind":"timestamp","value":"2021-07-14T11:34:47","string":"2021-07-14T11:34:47"},"committer_date":{"kind":"timestamp","value":"2021-07-14T11:34:47","string":"2021-07-14T11:34:47"},"github_id":{"kind":"number","value":385917570,"string":"385,917,570"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.5821325778961182,"alphanum_fraction":0.5821325778961182,"avg_line_length":31.3389835357666,"blob_id":"62a3bda00d2a8ed25d740d64864118af46c2c8c5","content_id":"d401cba5038b6e74baf39440dce2965bc2f5d0a6","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":3817,"license_type":"no_license","max_line_length":106,"num_lines":118,"path":"/app/views.py","repo_name":"arbaazkhan07/Django-MiniBlog","src_encoding":"UTF-8","text":"from django.shortcuts import redirect, render\nfrom .forms import UserRegisterForm, UserLoginForm, PostForm\nfrom django.contrib import messages\nfrom django.contrib.auth import authenticate, login, logout\nfrom .models import Post\nfrom django.contrib.auth.models import Group\n\n# Home \ndef home(request):\n posts = Post.show_posts()\n return render(request, 'app/home.html',{ 'posts': posts})\n\n# About \ndef about(request):\n return render(request, 'app/about.html')\n\n# Contact \ndef contact(request):\n return render(request, 'app/contact.html')\n\n# Dashboard\ndef dashboard(request):\n if request.user.is_authenticated:\n posts = Post.show_posts()\n user = request.user\n full_name = user.get_full_name()\n groups = user.groups.all()\n return render(request, 'app/dashboard.html', {\n 'posts': posts ,\n 'full_name': full_name,\n 'groups': groups\n })\n else:\n return redirect('login')\n\n# Add Post\ndef addPost(request):\n if request.user.is_authenticated:\n if request.method == 'POST':\n form = PostForm(request.POST)\n if form.is_valid():\n form.save()\n messages.success(request, 'Posts added successfully.')\n return redirect('dashboard')\n else:\n form = PostForm()\n return render(request,'app/addPost.html', { 'form': form })\n\n else:\n return redirect('login')\n\n# Delete Post\ndef deletePost(request, id):\n if request.user.is_authenticated:\n if request.method == 'POST':\n post = Post.get_post(id)\n post.delete()\n return redirect('dashboard')\n else:\n return redirect('login')\n\n#Edit Post\ndef editPost(request, id):\n if request.user.is_authenticated:\n post = Post.get_post(id)\n if request.method == 'POST':\n form = PostForm(request.POST, instance=post)\n if form.is_valid():\n form.save()\n messages.success(request, 'Post updated successfully.')\n return redirect('dashboard')\n else:\n form = PostForm(instance=post)\n return render(request, 'app/editPost.html', { 'form': form })\n else:\n return redirect('login')\n\n# Register \ndef userRegister(request):\n if not request.user.is_authenticated:\n if request.method == 'POST':\n form = UserRegisterForm(request.POST)\n if form.is_valid():\n user = form.save()\n group = Group.objects.get(name='Author')\n user.groups.add(group)\n messages.success(request, 'Congractulations! You have become an Author. Now please Login')\n return redirect('login')\n else:\n form = UserRegisterForm()\n return render(request, 'app/register.html', { 'form': form })\n else:\n return redirect('dashboard')\n\n# Login \ndef userLogin(request):\n if not request.user.is_authenticated:\n if request.method == 'POST':\n form = UserLoginForm(request=request, data=request.POST)\n if form.is_valid():\n uname = form.cleaned_data.get('username')\n upass = form.cleaned_data.get('password')\n user = authenticate(username=uname, password=upass)\n print(user)\n if user is not None:\n login(request, user)\n messages.success(request, 'Logged in Successfully!!')\n return redirect('dashboard')\n else:\n form = UserLoginForm()\n return render(request, 'app/login.html', { 'form': form })\n else:\n return redirect('dashboard')\n\n# Logout \ndef userLogout(request):\n logout(request)\n return redirect('home')\n\n"},{"alpha_fraction":0.6411150097846985,"alphanum_fraction":0.6515679359436035,"avg_line_length":21,"blob_id":"76818e5262dd7fdc3b74a3ed2d295a187feecf28","content_id":"3e04dff5e0162d5a6fcd1db30a47d72884495a9c","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":287,"license_type":"no_license","max_line_length":44,"num_lines":13,"path":"/app/models.py","repo_name":"arbaazkhan07/Django-MiniBlog","src_encoding":"UTF-8","text":"from django.db import models\n\nclass Post(models.Model):\n title = models.CharField(max_length=100)\n desc = models.TextField()\n\n @staticmethod\n def show_posts():\n return Post.objects.all()\n\n @staticmethod\n def get_post(id):\n return Post.objects.get(pk=id)\n\n"}],"string":"[\n {\n \"alpha_fraction\": 0.5821325778961182,\n \"alphanum_fraction\": 0.5821325778961182,\n \"avg_line_length\": 31.3389835357666,\n \"blob_id\": \"62a3bda00d2a8ed25d740d64864118af46c2c8c5\",\n \"content_id\": \"d401cba5038b6e74baf39440dce2965bc2f5d0a6\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 3817,\n \"license_type\": \"no_license\",\n \"max_line_length\": 106,\n \"num_lines\": 118,\n \"path\": \"/app/views.py\",\n \"repo_name\": \"arbaazkhan07/Django-MiniBlog\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from django.shortcuts import redirect, render\\nfrom .forms import UserRegisterForm, UserLoginForm, PostForm\\nfrom django.contrib import messages\\nfrom django.contrib.auth import authenticate, login, logout\\nfrom .models import Post\\nfrom django.contrib.auth.models import Group\\n\\n# Home \\ndef home(request):\\n posts = Post.show_posts()\\n return render(request, 'app/home.html',{ 'posts': posts})\\n\\n# About \\ndef about(request):\\n return render(request, 'app/about.html')\\n\\n# Contact \\ndef contact(request):\\n return render(request, 'app/contact.html')\\n\\n# Dashboard\\ndef dashboard(request):\\n if request.user.is_authenticated:\\n posts = Post.show_posts()\\n user = request.user\\n full_name = user.get_full_name()\\n groups = user.groups.all()\\n return render(request, 'app/dashboard.html', {\\n 'posts': posts ,\\n 'full_name': full_name,\\n 'groups': groups\\n })\\n else:\\n return redirect('login')\\n\\n# Add Post\\ndef addPost(request):\\n if request.user.is_authenticated:\\n if request.method == 'POST':\\n form = PostForm(request.POST)\\n if form.is_valid():\\n form.save()\\n messages.success(request, 'Posts added successfully.')\\n return redirect('dashboard')\\n else:\\n form = PostForm()\\n return render(request,'app/addPost.html', { 'form': form })\\n\\n else:\\n return redirect('login')\\n\\n# Delete Post\\ndef deletePost(request, id):\\n if request.user.is_authenticated:\\n if request.method == 'POST':\\n post = Post.get_post(id)\\n post.delete()\\n return redirect('dashboard')\\n else:\\n return redirect('login')\\n\\n#Edit Post\\ndef editPost(request, id):\\n if request.user.is_authenticated:\\n post = Post.get_post(id)\\n if request.method == 'POST':\\n form = PostForm(request.POST, instance=post)\\n if form.is_valid():\\n form.save()\\n messages.success(request, 'Post updated successfully.')\\n return redirect('dashboard')\\n else:\\n form = PostForm(instance=post)\\n return render(request, 'app/editPost.html', { 'form': form })\\n else:\\n return redirect('login')\\n\\n# Register \\ndef userRegister(request):\\n if not request.user.is_authenticated:\\n if request.method == 'POST':\\n form = UserRegisterForm(request.POST)\\n if form.is_valid():\\n user = form.save()\\n group = Group.objects.get(name='Author')\\n user.groups.add(group)\\n messages.success(request, 'Congractulations! You have become an Author. Now please Login')\\n return redirect('login')\\n else:\\n form = UserRegisterForm()\\n return render(request, 'app/register.html', { 'form': form })\\n else:\\n return redirect('dashboard')\\n\\n# Login \\ndef userLogin(request):\\n if not request.user.is_authenticated:\\n if request.method == 'POST':\\n form = UserLoginForm(request=request, data=request.POST)\\n if form.is_valid():\\n uname = form.cleaned_data.get('username')\\n upass = form.cleaned_data.get('password')\\n user = authenticate(username=uname, password=upass)\\n print(user)\\n if user is not None:\\n login(request, user)\\n messages.success(request, 'Logged in Successfully!!')\\n return redirect('dashboard')\\n else:\\n form = UserLoginForm()\\n return render(request, 'app/login.html', { 'form': form })\\n else:\\n return redirect('dashboard')\\n\\n# Logout \\ndef userLogout(request):\\n logout(request)\\n return redirect('home')\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.6411150097846985,\n \"alphanum_fraction\": 0.6515679359436035,\n \"avg_line_length\": 21,\n \"blob_id\": \"76818e5262dd7fdc3b74a3ed2d295a187feecf28\",\n \"content_id\": \"3e04dff5e0162d5a6fcd1db30a47d72884495a9c\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 287,\n \"license_type\": \"no_license\",\n \"max_line_length\": 44,\n \"num_lines\": 13,\n \"path\": \"/app/models.py\",\n \"repo_name\": \"arbaazkhan07/Django-MiniBlog\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from django.db import models\\n\\nclass Post(models.Model):\\n title = models.CharField(max_length=100)\\n desc = models.TextField()\\n\\n @staticmethod\\n def show_posts():\\n return Post.objects.all()\\n\\n @staticmethod\\n def get_post(id):\\n return Post.objects.get(pk=id)\\n\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":2,"string":"2"}}},{"rowIdx":2980097,"cells":{"repo_name":{"kind":"string","value":"timmartin/stencil"},"repo_url":{"kind":"string","value":"https://github.com/timmartin/stencil"},"snapshot_id":{"kind":"string","value":"89889159865736184fddab977919609cb93ce19f"},"revision_id":{"kind":"string","value":"81e6c2939cafae1009a9866590e9dd23295d4a9f"},"directory_id":{"kind":"string","value":"12aedff0827d3e881dfd052d25aadc2038a8c68b"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2021-01-11T14:55:44.703602","string":"2021-01-11T14:55:44.703602"},"revision_date":{"kind":"timestamp","value":"2017-07-04T19:43:16","string":"2017-07-04T19:43:16"},"committer_date":{"kind":"timestamp","value":"2017-07-04T19:43:50","string":"2017-07-04T19:43:50"},"github_id":{"kind":"number","value":80252832,"string":"80,252,832"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.6021126508712769,"alphanum_fraction":0.6021126508712769,"avg_line_length":27.399999618530273,"blob_id":"e2e9392ff4e558255ea03a0db2f9e8a6fc37f9f1","content_id":"aca78220e2830dbc776f07b16bc8f44876fbda2e","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":852,"license_type":"permissive","max_line_length":74,"num_lines":30,"path":"/tests/compiler_test.py","repo_name":"timmartin/stencil","src_encoding":"UTF-8","text":"import unittest\nimport unittest.mock\nimport io\nfrom collections import namedtuple\n\nfrom margate.compiler import Compiler\n\n\nclass CompilerTest(unittest.TestCase):\n\n def test_extend_template(self):\n template_locator = unittest.mock.MagicMock()\n template_locator.find_template.return_value = '/wherever/foo.html'\n\n mock_file = io.StringIO(\"Title: {% block title %}{% endblock %}\")\n\n mock_open = unittest.mock.MagicMock(return_value=mock_file)\n\n with unittest.mock.patch('builtins.open', mock_open):\n compiler = Compiler(template_locator)\n\n function = compiler.compile(\n '{% extends \"base.html\" %}'\n '{% block title %}'\n 'The title'\n '{% endblock %}')\n\n self.assertEquals(\n function(),\n \"Title: The title\")\n"},{"alpha_fraction":0.6692422032356262,"alphanum_fraction":0.6692422032356262,"avg_line_length":31.669902801513672,"blob_id":"ed3c924212f2a2c65ba1757c9041fd0b859092a9","content_id":"33972b70b6c372c99a5e7deff68b3e9661620f65","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":3365,"license_type":"permissive","max_line_length":78,"num_lines":103,"path":"/margate/block_parser.py","repo_name":"timmartin/stencil","src_encoding":"UTF-8","text":"\"\"\"The block parser splits a template into the blocks that make it\nup. There are three different sorts of data in a template that get\nhandled in different ways:\n\n* Literal text, which just gets embedded in the output (but may be\n skipped or repeated by executing code around it).\n* Executable code\n* Embedded variable expressions that get expanded into text output.\n\nIt's implemented as a state machine, where the template starts out in\nliteral text and transitions to a different state depending on whether\nit encounters ``{{``, ``}}``, ``{%`` or ``%}``.\n\n\"\"\"\n\nfrom . import code_generation\n\n\nclass LiteralState:\n \"\"\"The literal state is the state the block parser is in when it is\n processing anything that will be included in the template output\n as a literal. The template starts out in literal state and\n transitions back into it every time a block is closed.\n \"\"\"\n\n def __init__(self, text):\n self.text = text\n\n def __eq__(self, other):\n if not isinstance(other, LiteralState):\n return False\n\n return self.text == other.text\n\n def __repr__(self):\n return \"<LiteralState %r>\" % self.text\n\n def accept_open_expression(self, offset, length):\n return (ExpressionState(self.text[offset + length:]),\n code_generation.Literal(self.text[:offset]))\n\n def accept_open_execution(self, offset, length):\n return (ExecutionState(self.text[offset + length:]),\n code_generation.Literal(self.text[:offset]))\n\n def accept_close_expression(self, offset, length):\n raise Exception(\"Syntax error\")\n\n def accept_close_execution(self, offset, length):\n raise Exception(\"Syntax error\")\n\n def accept_end_input(self):\n return (None, code_generation.Literal(self.text))\n\n\nclass ExecutionState:\n \"\"\"Execution state is the state when any kind of code execution is\n occurring. This includes the start and ends of blocks.\n \"\"\"\n\n def __init__(self, text):\n self.text = text\n\n def accept_open_expression(self, offset, length):\n raise Exception(\"Syntax error\")\n\n def accept_open_execution(self, offset, length):\n raise Exception(\"Syntax error\")\n\n def accept_close_expression(self, offset, length):\n raise Exception(\"Syntax error\")\n\n def accept_close_execution(self, offset, length):\n return (LiteralState(self.text[offset + length:]),\n code_generation.Execution(self.text[:offset].strip()))\n\n def accept_end_input(self):\n raise Exception(\"Syntax error\")\n\n\nclass ExpressionState:\n \"\"\"Expression state occurs when processing a ``{{ ... }}`` expression\n that embeds the value of an expression into the output.\n\n \"\"\"\n def __init__(self, text):\n self.text = text\n\n def accept_open_expression(self, offset, length):\n raise Exception(\"Syntax error: opened expression inside expression\")\n\n def accept_open_execution(self, offset, length):\n raise Exception(\"Syntax error\")\n\n def accept_close_execution(self, offset, length):\n raise Exception(\"Syntax error\")\n\n def accept_close_expression(self, offset, length):\n return (LiteralState(self.text[offset + length:]),\n code_generation.VariableExpansion(self.text[:offset].strip()))\n\n def accept_end_input(self):\n raise Exception(\"Syntax error\")\n"},{"alpha_fraction":0.6892988681793213,"alphanum_fraction":0.6892988681793213,"avg_line_length":16.828947067260742,"blob_id":"c6d5814e0e811f4857b181048d60473e95c1745a","content_id":"551f8928599359a240e605b8198e116d802c4d5c","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"reStructuredText","length_bytes":1355,"license_type":"permissive","max_line_length":68,"num_lines":76,"path":"/docs/reference.rst","repo_name":"timmartin/stencil","src_encoding":"UTF-8","text":"Reference\n=========\n\nThe process of building a template into a function has the following\nsteps:\n\n* The template is broken down into blocks (such as literal text and\n code execution) that are treated differently. This is handled by\n :py:mod:`the block parser <margate.block_parser>`.\n* The resultant sequence of blocks is passed to the\n :py:class:`~margate.parser.Parser` to be turned into a parse tree.\n* The parse tree is processed by :py:mod:`code generation\n <margate.code_generation>` to make Python bytecode.\n\nCompiler\n--------\n\n.. automodule:: margate.compiler\n\n.. autoclass:: Compiler\n :members:\n\n.. autoclass:: TemplateLocator\n\nCode generation\n---------------\n\n.. automodule:: margate.code_generation\n\n.. autoclass:: Sequence\n :members:\n\n.. autoclass:: ForBlock\n :members:\n\n.. autoclass:: IfBlock\n :members:\n\n.. autoclass:: ExtendsBlock\n :members:\n\n.. autoclass:: ReplaceableBlock\n :members:\n\n.. autoclass:: VariableExpansion\n :members:\n\n.. autoclass:: Literal\n :members:\n\n.. autoclass:: Execution\n :members:\n\nBlock parser\n------------\n\n.. automodule:: margate.block_parser\n\n.. autoclass:: LiteralState\n :members:\n\n.. autoclass:: ExecutionState\n :members:\n\n.. autoclass:: ExpressionState\n :members:\n\nParser\n------\n\n.. automodule:: margate.parser\n\n.. autoclass:: Parser\n :members:\n\n.. autofunction:: parse_expression\n"},{"alpha_fraction":0.6170306205749512,"alphanum_fraction":0.6176168918609619,"avg_line_length":33.81122589111328,"blob_id":"fdd8ddc80d7284b4fe2329a6a76f2e57c89999d7","content_id":"5f7c4edf66eefe0ce09fc1e4e4f40bd70f639cd5","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":6823,"license_type":"permissive","max_line_length":74,"num_lines":196,"path":"/margate/parser.py","repo_name":"timmartin/stencil","src_encoding":"UTF-8","text":"\"\"\"The parser converts the template language into a usable structured\nform.\n\nThere are two layers to the parsing: breaking the template down into\nblocks (which is done by the :py:mod:`~margate.block_parser` module),\nand parsing the expressions that appear in the execution blocks within\nthe template.\n\nThe parser in this module uses a combination of ad hoc parsing,\n`funcparserlib <https://pypi.python.org/pypi/funcparserlib>`_ and\n`ast.parse\n<https://docs.python.org/3/library/ast.html#ast.parse>`_. The\ntop-level rules in the language (``if``, ``for``, ``endif`` etc.) are\nhandled ad hoc since they are not recursive. However, the expression\nthat is given as an argument to ``if`` is an arbitrary expression and\nparsed\n\n\"\"\"\n\nimport re\nimport ast\nfrom collections import namedtuple\nimport funcparserlib.parser\n\nfrom . import code_generation, compiler\n\nIfNode = namedtuple('IfNode', ['expression'])\nForNode = namedtuple('ForNode', ['variable', 'collection'])\nExtendsNode = namedtuple('ExtendsNode', ['template_name'])\nBlockNode = namedtuple('BlockNode', ['block_name'])\n\n\nclass UnsupportedElementException(Exception):\n pass\n\n\ndef parse_expression(expression):\n \"\"\"Parse an expression that appears in an execution node, i.e. a\n block delimited by ``{% %}``.\n\n This can be a compound expression like a ``for`` statement with\n several sub-expressions, or it can just be a single statement such\n as ``endif``.\n\n :param list expression: Tokenised expression.\n\n \"\"\"\n from funcparserlib.parser import a, skip, some\n\n # For if expressions, we rely on the Python parser to process the\n # expression rather than using our own parser.\n if expression[0] == 'if':\n return IfNode(ast.parse(' '.join(expression[1:]), mode=\"eval\"))\n\n variable_name = some(lambda x: re.match(r'[a-zA-Z_]+', x))\n\n # TODO We use the same function twice, first to match the token\n # and then to extract the value we care about from the token\n # (namely the contents of the quoted string). This smells wrong.\n def extract_quoted_string(x):\n result = re.match(r'\\\"([^\\\"]*)\\\"', x)\n if result:\n return result.groups(1)\n\n quoted_string = some(extract_quoted_string)\n\n for_expression = (\n skip(a('for'))\n + (variable_name >> str)\n + skip(a('in'))\n + (variable_name >> str))\n\n extends_expression = (\n skip(a('extends'))\n + (quoted_string >> extract_quoted_string))\n\n block_expression = (\n skip(a('block'))\n + (variable_name >> str))\n\n def make_for_node(x): return ForNode(*x)\n\n def make_extends_node(x): return ExtendsNode(*x)\n\n parser = ((for_expression >> make_for_node)\n | (extends_expression >> make_extends_node)\n | (block_expression >> BlockNode))\n\n try:\n return parser.parse(expression)\n except funcparserlib.parser.NoParseError as e:\n raise Exception(\"Invalid expression '%s'\" % expression)\n\n\nclass Parser:\n \"\"\"The Parser is responsible for turning a template in \"tokenised\"\n form into a tree structure from which it is straightforward to\n generate bytecode.\n\n The input is in the form of a flat list of atomic elements of the\n template, where literal text (of any length) is a single element,\n and a ``{% %}`` or ``{{ }}`` expression is a single element.\n\n Figuring out nesting of starting and ending of loops happens\n within the parser.\n\n \"\"\"\n\n def __init__(self, template_locator=None):\n\n def _get_related_template(template_name):\n template = template_locator.find_template(template_name)\n if not template:\n raise FileNotFoundError()\n with open(template) as template_file:\n compiler_obj = compiler.Compiler(template_locator)\n return compiler_obj._get_chunks(template_file.read())\n\n self._sub_template_locator = _get_related_template\n\n def parse(self, tokens):\n \"\"\"Parse a token sequence into a\n :py:class:`~margate.code_generation.Sequence` object.\n\n \"\"\"\n\n sequence = code_generation.Sequence()\n\n self._parse_into_sequence(sequence, tokens)\n\n return sequence\n\n def _parse_into_sequence(self, sequence, tokens,\n termination_condition=None):\n token_iter = iter(tokens)\n\n try:\n while True:\n token = next(token_iter)\n if termination_condition and termination_condition(token):\n return\n\n if isinstance(token, code_generation.Execution):\n # An execution node always starts a subsequence\n # (i.e. a node in the tree with its own\n # children). Since we've ruled out the case where\n # this is the termination of an existing block,\n # any Execution node is the start of a new block.\n block = self._parse_subsequence(token, token_iter)\n sequence.add_element(block)\n else:\n sequence.add_element(token)\n except StopIteration:\n return\n\n def _parse_subsequence(self, token, token_iter):\n node = parse_expression(\n re.split(r'\\s+',\n token.expression.strip()))\n\n if isinstance(node, IfNode):\n block = code_generation.IfBlock(node.expression)\n inner_termination_condition = self._end_sequence(\"endif\")\n elif isinstance(node, ForNode):\n block = code_generation.ForBlock(node)\n inner_termination_condition = self._end_sequence(\"endfor\")\n elif isinstance(node, ExtendsNode):\n if self._sub_template_locator is None:\n raise UnsupportedElementException(\n \"Parser is not configured to support \"\n \"extending other templates\")\n\n content = self._sub_template_locator(\n node.template_name)\n parsed = self.parse(content)\n block = code_generation.ExtendsBlock(parsed)\n inner_termination_condition = None\n elif isinstance(node, BlockNode):\n block = code_generation.ReplaceableBlock(\n node.block_name)\n inner_termination_condition = self._end_sequence(\"endblock\")\n else:\n raise Exception(\"Unrecognised block type\")\n\n self._parse_into_sequence(block.sequence,\n token_iter,\n inner_termination_condition)\n\n return block\n\n def _end_sequence(self, end_token):\n def is_end_token(token):\n return (isinstance(token, code_generation.Execution)\n and token.expression == end_token)\n\n return is_end_token\n"},{"alpha_fraction":0.6312466859817505,"alphanum_fraction":0.6317727565765381,"avg_line_length":27.37313461303711,"blob_id":"113304ec07f36e078e57f196bc962d9c1e7321dd","content_id":"078b3ddbe9161cac0bacda13e779b43e4207ebcf","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1901,"license_type":"permissive","max_line_length":79,"num_lines":67,"path":"/margate/django/__init__.py","repo_name":"timmartin/stencil","src_encoding":"UTF-8","text":"\"\"\"\nCode for interfacing Margate with Django\n\"\"\"\n\nfrom django.template import TemplateDoesNotExist\nfrom django.template.utils import get_app_template_dirs\nfrom django.template.loaders.filesystem import Loader as DjangoFileSystemLoader\nfrom django.template.backends.base import BaseEngine\n\nfrom margate.compiler import Compiler\n\n\nclass MargateLoader(DjangoFileSystemLoader):\n def get_dirs(self):\n return get_app_template_dirs('margate')\n\n\nclass MargateEngine(BaseEngine):\n app_dirname = \"margate\"\n\n def __init__(self, params):\n params = params.copy()\n\n try:\n params.pop('OPTIONS')\n except KeyError:\n pass\n\n super(MargateEngine, self).__init__(params)\n\n self.loader = MargateLoader(self)\n self.file_charset = 'utf-8'\n self.debug = False\n self.template_libraries = []\n self.template_builtins = []\n self.cache = {}\n\n def get_template(self, template_name):\n if template_name in self.cache:\n return self.cache[template_name]\n else:\n compiler = Compiler()\n template_func = compiler.compile(self.find_template(template_name))\n template = Template(template_func)\n self.cache[template_name] = template\n return template\n\n def find_template(self, name):\n tried = []\n\n for source in self.loader.get_template_sources(name):\n try:\n contents = self.loader.get_contents(source)\n except TemplateDoesNotExist:\n tried.append((source, 'Source does not exist'))\n else:\n return contents\n\n raise TemplateDoesNotExist(name, tried=tried)\n\n\nclass Template:\n def __init__(self, template_func):\n self.template_func = template_func\n\n def render(self, context=None, request=None):\n return self.template_func(**context)\n"},{"alpha_fraction":0.7026459574699402,"alphanum_fraction":0.7039059400558472,"avg_line_length":28.382715225219727,"blob_id":"8ffc1b8fa74d7b917831a40bf51c392de1a607c9","content_id":"f4f9ae6f44105859e2ad21a9d82a8ba5a73eebbd","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"reStructuredText","length_bytes":2381,"license_type":"permissive","max_line_length":70,"num_lines":81,"path":"/docs/index.rst","repo_name":"timmartin/stencil","src_encoding":"UTF-8","text":"\nWelcome to Margate's documentation!\n===================================\n\n.. toctree::\n :maxdepth: 2\n :caption: Contents:\n\n django\n todo_list\n reference\n\nIntroduction\n------------\n\nMargate is a templating engine for Python that compiles templates down\nto Python bytecode. It is mostly Django-compatible in spirit, though\nit falls short of being a drop-in replacement for Django templates.\n\nEarly performance testing suggests that it is around 10 times faster\nthan regular Django templates.\n\nExample\n-------\n\nSimply instantiate a :py:class:`~margate.compiler.Compiler` and call\nits :py:meth:`~margate.compiler.Compiler.compile()` method with the\ntemplate source::\n\n template_source = \"\"\"\n <p>Hello {{ person }}, my name is {{ me }}\n \"\"\"\n\n compiler = margate.compiler.Compiler()\n template_function = compiler.compile(template_source)\n\nYou now have a function that can be called to yield the rendered\ncontent. Pass variable values in keyword arguments::\n\n print(template_function(person=\"alice\",\n me=\"a template\"))\n\nFAQ\n---\n\nWhy oh why?\n'''''''''''\n\nMostly to learn about Python bytecode.\n\nYou don't really expect the speed benefit to be worth it, do you?\n'''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''\n\nTemplate rendering is extremely unlikely to be the bottleneck in your\nweb application. Optimising it will at best save a constant overhead\nfrom each page view, and will have a proportionately lower impact on\nyour slowest pages.\n\nOn the other hand, it's free speed. It can probably save you a few\nmilliseconds per page view, which might help when you're trying to get\nyour landing page to load as fast as possible. Assuming the templating\nlanguage has all the same features, why wouldn't you? Template\nexpansion probably can't be parallelised with anything else your web\napp is doing, so miliseconds here contribute directly to the bottom\nline.\n\nWhat's with the name?\n'''''''''''''''''''''\n\nThe library was originally called Stencil, but it turns out that lots\nof people call their templating library Stencil, so I had to change.\n\nI hate spending time thinking of names for projects, so when I get\nstuck I just use the name of an English seaside town. There are plenty\nof them and they are reasonably unique and memorable names.\n\nIndices and tables\n==================\n\n* :ref:`genindex`\n* :ref:`modindex`\n* :ref:`search`\n"},{"alpha_fraction":0.7725631594657898,"alphanum_fraction":0.7739169597625732,"avg_line_length":36.559322357177734,"blob_id":"735f7bda472ae0f1abd6609dc9cd93dda2080c29","content_id":"98789434acd735205b89016ad67f8a658fc1783b","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"reStructuredText","length_bytes":2216,"license_type":"permissive","max_line_length":70,"num_lines":59,"path":"/README.rst","repo_name":"timmartin/stencil","src_encoding":"UTF-8","text":"I originally wrote Margate as an exercise in learning about Python\nbytecode, but I released it in case it was somewhat useful. However,\nafter releasing it I discovered that Jinja2 also includes a bytecode\ngenerator, so probably makes this obsolete for any practical\npurposes. I'm not actively maintaining this project any more.\n\nMargate\n=======\n\nMargate is a library that provides a Django-compatible template engine\nwhere the templates compile to raw Python bytecode. In theory, this\nwill make them expand faster. This is at a very early stage and is\nexperimental.\n\nFeatures\n--------\n\nCurrently Margate supports the following:\n\n* ``for`` loops\n* ``if`` blocks with arbitrary conditions (but not ``else`` blocks)\n* ``extends`` nodes and ``block`` nodes that can be overridden in\n extending templates\n* Arbitrary nesting of the above (though this isn't well tested yet)\n* Embedding expression values in output\n\nOperation\n---------\n\nThe compiler takes a text template and ultimately outputs an ordinary\nPython function, which you can call (passing context data as the\n`kwargs`) to get rendered text output.\n\nThe first stage is to parse it into a tree structure. In theory this\nmight be able to reuse some parsing code from within Django, but the\nAPI doesn't really seem to be designed to be extended. Instead,\nthere's a small ad hoc parser. First it \"tokenises\", where each\n\"token\" is a chunk of the template (a literal string, a variable\ninclusion or a `{% xyz %}` block. The expressions inside the execution\nblocks also get parsed as a separate operation.\n\nThe resultant parse tree is processed by a code generator that\ngenerates abstract bytecode, using the `Bytecode\n<https://bytecode.readthedocs.io/en/latest/>`_ module to turn this\ninto concrete bytecode that can be processed natively by the Python\nvirtual machine. Code generation just expands out some templates with\nhand-generated bytecode.\n\nPerformance tests\n-----------------\n\nI've only done minimal performance tests so far, but on a couple of\nsimple cases Margate is 10 times faster than \"real\" Django\ntemplates.\n\nSee `performance_test.py` for the details.\n\nThis probably means you can shave a few milliseconds off your page\nload time by using Margate.\n"},{"alpha_fraction":0.6586452722549438,"alphanum_fraction":0.6586452722549438,"avg_line_length":25.069766998291016,"blob_id":"e3ab0f56765bff05ebac3d13dbeff819072f6005","content_id":"5bd8af2ae3842a2747c4c664030befdd86bb38f4","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"reStructuredText","length_bytes":1122,"license_type":"permissive","max_line_length":70,"num_lines":43,"path":"/docs/django.rst","repo_name":"timmartin/stencil","src_encoding":"UTF-8","text":"Using from Django\n=================\n\nLanguage compatibility\n----------------------\n\nThe Margate language is very similar in style to the built-in Django\ntemplate engine, but differs in a number of important details.\n\nMost importantly, ``{{ }}`` expressions (and expressions in ``for``\nloop commands etc.) are treated as arbitrary Python code. This means\nthat they are more flexible than Django template language, but\nprevents you from taking advantage of the shortcuts that automatically\nconvert object attributes into dictionary member lookup.\n\nFor example, instead of writing::\n\n {% for tag in blog_post.tags %}\n ...\n {% endfor %}\n\nif ``blog_post`` is a dictionary, you will need to write::\n\n {% for tag in blog_post[\"tags\"] %}\n ...\n {% endfor %}\n\nAnother limitation is that none of the built-in filters are currently\nsupported.\n\nConfiguring Django to use the engine\n------------------------------------\n\nTo enable Margate in Django, simply add it to the ``TEMPLATES`` in\n``settings.py``::\n\n TEMPLATES = [\n {\n 'BACKEND': 'margate.django.MargateEngine',\n 'DIRS': [],\n 'APP_DIRS': True\n }\n ]\n\n"},{"alpha_fraction":0.6261342763900757,"alphanum_fraction":0.6261342763900757,"avg_line_length":27.256410598754883,"blob_id":"43f59a97e5040c874866956511659a54c4ffa7aa","content_id":"68149f41aebcfb7a36ba8f31f72b2ee8569ff549","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1102,"license_type":"permissive","max_line_length":70,"num_lines":39,"path":"/margate/__init__.py","repo_name":"timmartin/stencil","src_encoding":"UTF-8","text":"\"\"\"\nCompiled templates\n\"\"\"\n\nimport os.path\nfrom django.template import TemplateDoesNotExist\nfrom django.template.backends.base import BaseEngine\n\n\nclass Template:\n def __init__(self, code, engine):\n self.code = code\n self.engine = engine\n\n super(Template, self).__init__()\n\n def render(self, context=None, request=None):\n return self.code\n\n\nclass FasterEngine(BaseEngine):\n app_dirname = 'compiled'\n\n def __init__(self, params):\n params.pop('OPTIONS')\n\n super(FasterEngine, self).__init__(params)\n\n def get_template(self, template_name):\n for template_dir in self.template_dirs:\n candidate_file = os.path.join(template_dir, template_name)\n if os.path.exists(candidate_file):\n with open(candidate_file, \"r\") as template_contents:\n return Template(template_contents.read(), self)\n raise TemplateDoesNotExist(\"Template %s does not exist\"\n % template_name)\n\n def from_string(self, template_code):\n return Template(template_code, self)\n"},{"alpha_fraction":0.8163265585899353,"alphanum_fraction":0.8163265585899353,"avg_line_length":23.25,"blob_id":"973549fd176abadd3d8035f46085ec37907585dc","content_id":"069fb509d54ca998880b491cc0e0e7d695dc38a6","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":98,"license_type":"permissive","max_line_length":44,"num_lines":4,"path":"/tests/__init__.py","repo_name":"timmartin/stencil","src_encoding":"UTF-8","text":"import hy\n\nfrom .hy_parser_test import HyParserTest\nfrom .hy_compiler_test import HyCompilerTest\n\n"},{"alpha_fraction":0.5543872117996216,"alphanum_fraction":0.5554749965667725,"avg_line_length":29.9887638092041,"blob_id":"33af19cc80fd87f4bfa4c5a2fa7319c49b4d9716","content_id":"44ceb410fa6376fbd6e635f870c5e56260123984","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2758,"license_type":"permissive","max_line_length":73,"num_lines":89,"path":"/margate/compiler.py","repo_name":"timmartin/stencil","src_encoding":"UTF-8","text":"\"\"\"The compiler module contains the public interface to the library.\n\n\"\"\"\n\nimport re\nimport io\nfrom bytecode import Bytecode, Instr\n\nfrom . import parser, block_parser\n\n\nclass TemplateLocator:\n \"\"\"The template locator abstracts the details of locating templates\n when one template extends another (such as with the ``{% extends %}``\n tag)self.\n \"\"\"\n\n def find_template(self, template_name):\n pass\n\n\nclass Compiler:\n \"\"\"The Compiler takes a template in string form and returns bytecode\n that implements the template.\n \"\"\"\n\n def __init__(self, template_locator=None):\n if template_locator is None:\n template_locator = TemplateLocator()\n\n self._template_locator = template_locator\n\n def compile(self, source):\n \"\"\"Compile the template source code into a callable function.\n\n :return: A callable function that returns rendered content as\n a string when called.\n \"\"\"\n bytecode = self._make_bytecode(source, self._template_locator)\n\n def inner(**local_scope):\n local_scope[\"_output\"] = io.StringIO()\n exec(bytecode, {}, local_scope)\n return local_scope['_output'].getvalue()\n\n return inner\n\n def _get_chunks(self, source):\n state = block_parser.LiteralState(source)\n\n while state:\n match = re.search(r\"\\{\\{|\\}\\}|\\{%|%\\}\",\n state.text)\n if match is None:\n (state, chunk) = state.accept_end_input()\n else:\n separator = match.group(0)\n\n if separator == \"{{\":\n action = state.accept_open_expression\n elif separator == \"}}\":\n action = state.accept_close_expression\n elif separator == \"{%\":\n action = state.accept_open_execution\n elif separator == \"%}\":\n action = state.accept_close_execution\n else:\n raise Exception(\"Unrecognised separator\")\n\n (state, chunk) = action(match.start(0),\n len(match.group(0)))\n\n yield chunk\n\n def _make_bytecode(self, source, template_locator):\n instructions = []\n symbol_table = {\n \"write_func\": io.StringIO.write\n }\n\n parser_obj = parser.Parser(self._template_locator)\n sequence = parser_obj.parse(self._get_chunks(source))\n\n for item in sequence.elements:\n instructions += item.make_bytecode(symbol_table)\n\n bytecode = Bytecode(instructions + [Instr(\"LOAD_CONST\", None),\n Instr(\"RETURN_VALUE\")])\n return bytecode.to_code()\n"},{"alpha_fraction":0.29729729890823364,"alphanum_fraction":0.5945945978164673,"avg_line_length":11.333333015441895,"blob_id":"fc2651f87b34f7d8e4b77e321a132f2ba54fbf47","content_id":"8704b5d8623035808e2b97896d64aaf44cf1717e","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Text","length_bytes":37,"license_type":"permissive","max_line_length":13,"num_lines":3,"path":"/test_requirements.txt","repo_name":"timmartin/stencil","src_encoding":"UTF-8","text":"flake8==3.2.1\nnose==1.3.7\nhy==0.12.1\n"},{"alpha_fraction":0.505464494228363,"alphanum_fraction":0.5245901346206665,"avg_line_length":27.153846740722656,"blob_id":"59caa16bf196178456587ad25b0837acb9128a9d","content_id":"20bb011027918ca9481afb1af3250f0c1f884fea","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":366,"license_type":"permissive","max_line_length":46,"num_lines":13,"path":"/setup.py","repo_name":"timmartin/stencil","src_encoding":"UTF-8","text":"from setuptools import setup\n\nsetup(name=\"margate\",\n version='0.0.1',\n description='Faster Django templates',\n author='Tim Martin',\n author_email='tim@asymptotic.co.uk',\n license='MIT',\n packages=['margate'],\n install_requires=['django',\n 'bytecode>=0.5',\n 'funcparserlib>=0.3'],\n zip_safe=False)\n"},{"alpha_fraction":0.5625,"alphanum_fraction":0.7291666865348816,"avg_line_length":15,"blob_id":"9e8018f8693120d275e26154537591b79eacfed0","content_id":"b56b16ce3632f02bb6d38f15fbb7ee7000c502a6","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Text","length_bytes":48,"license_type":"permissive","max_line_length":20,"num_lines":3,"path":"/requirements.txt","repo_name":"timmartin/stencil","src_encoding":"UTF-8","text":"django==1.10\nbytecode==0.5\nfuncparserlib==0.3.6\n"},{"alpha_fraction":0.5076410174369812,"alphanum_fraction":0.5112531185150146,"avg_line_length":35.35353469848633,"blob_id":"032828faae311604bd6889bc3b31df7ebf06de03","content_id":"bf34f84c96344bd9c6d053704e27804fd3efd411","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":3599,"license_type":"permissive","max_line_length":78,"num_lines":99,"path":"/tests/parser_test.py","repo_name":"timmartin/stencil","src_encoding":"UTF-8","text":"import unittest\nimport unittest.mock\nimport ast\nimport io\n\nfrom margate.parser import (Parser, parse_expression, IfNode, ForNode,\n ExtendsNode)\nfrom margate.code_generation import (Literal, Sequence, IfBlock,\n ForBlock, ExtendsBlock, ReplaceableBlock,\n Execution)\n\n\nclass ParserTest(unittest.TestCase):\n def test_simple_sequence(self):\n parser = Parser()\n\n sequence = parser.parse([Literal(\"Foo\"),\n Literal(\"Bar\")])\n\n self.assertEqual(2, len(sequence.elements))\n\n def test_parse_if_block(self):\n parser = Parser()\n\n sequence = parser.parse([Literal(\"Foo\"),\n Execution(\"if True\"),\n Literal(\"Bar\"),\n Execution(\"endif\"),\n Literal(\"Baz\")])\n\n self.assertEqual(sequence.elements[0],\n Literal(\"Foo\"))\n\n self.assertIsInstance(sequence.elements[1],\n IfBlock)\n # TODO There doesn't seem to be an easy way to verify the\n # contents of the AST object.\n self.assertEqual(sequence.elements[1].sequence.elements[0],\n Literal(\"Bar\"))\n\n self.assertEqual(sequence.elements[2],\n Literal(\"Baz\"))\n\n def test_parse_for_loop(self):\n parser = Parser()\n\n sequence = parser.parse([Execution(\"for x in things\"),\n Literal(\"bar\"),\n Execution(\"endfor\")])\n\n expected_sequence = Sequence()\n block = ForBlock(ForNode('x', 'things'))\n block.sequence.add_element(Literal(\"bar\"))\n expected_sequence.add_element(block)\n\n self.assertEqual(sequence.elements,\n expected_sequence.elements)\n\n def test_parse_nested(self):\n parser = Parser()\n\n sequence = parser.parse([Execution(\"for x in things\"),\n Execution(\"if x % 2\"),\n Execution(\"endif\"),\n Execution(\"endfor\")])\n\n self.assertEqual(1,\n len(sequence.elements))\n self.assertIsInstance(sequence.elements[0],\n ForBlock)\n\n self.assertIsInstance(sequence.elements[0].sequence.elements[0],\n IfBlock)\n self.assertEqual(1,\n len(sequence.elements[0].sequence.elements))\n\n def test_expression_parser(self):\n \"\"\"Test the expression parser used within the {% %} node\"\"\"\n\n node = parse_expression([\"if\", \"True\"])\n self.assertIsInstance(node, IfNode)\n self.assertEqual(node.expression.body.value,\n True)\n\n node = parse_expression([\"for\", \"var\", \"in\", \"collection\"])\n self.assertIsInstance(node, ForNode)\n self.assertEqual(node, ForNode(\"var\", \"collection\"))\n\n node = parse_expression([\"if\", \"x\", \"<\", \"y\"])\n self.assertIsInstance(node, IfNode)\n self.assertEqual(ast.dump(node.expression),\n \"Expression(body=Compare(\"\n \"left=Name(id='x', ctx=Load()), ops=[Lt()],\"\n \" comparators=[Name(id='y', ctx=Load())]))\")\n\n node = parse_expression([\"extends\", '\"other.html\"'])\n self.assertIsInstance(node, ExtendsNode)\n self.assertEqual(node.template_name,\n \"other.html\")\n"},{"alpha_fraction":0.6567550301551819,"alphanum_fraction":0.6742081642150879,"avg_line_length":22.799999237060547,"blob_id":"5c8a346386634c9304a2eb8002344272499b2e90","content_id":"ee8469aa57f81c7650bcfdcfb77b8a36c94e6dfc","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1547,"license_type":"permissive","max_line_length":71,"num_lines":65,"path":"/performance_test.py","repo_name":"timmartin/stencil","src_encoding":"UTF-8","text":"\"\"\"Run the same template through Django templates and through\nmargate, to give a crude performance comparison.\n\n\"\"\"\n\nimport timeit\n\nfrom django.template import Context, Engine\n\nfrom margate.compiler import Compiler\n\nexpression = \"\"\"\nHello {{ name }}, I am a {{ whom }}\n\nI'm going to count:\n{% for i in numbers %}\nnext: {{ i }}\n{% endfor %}\n\"\"\"\n\n# Give some variables to print. Note that we have to convert the\n# numbers to string ahead of time, because Django wants to do\n# l10n-specific stuff with numbers and barfs if you attempt to display\n# a number without having settings set up.\nvariables = {\n 'name': 'world',\n 'whom': 'template',\n 'numbers': [str(i) for i in range(200)]\n}\n\ncompiler = Compiler()\nmargate_func = compiler.compile(expression)\n\nengine = Engine()\ntemplate = engine.from_string(expression)\ncontext = Context(variables)\n\n\ndef margate_render():\n return margate_func(**variables)\n\n\ndef django_render():\n return template.render(context)\n\n\ndef do_performance_test():\n assert margate_render() == django_render()\n\n iterations = 1000\n\n time_for_django = timeit.timeit(django_render, number=iterations)\n\n time_for_margate = timeit.timeit(margate_render, number=iterations)\n\n print(\"Django took {time} microseconds\".format(\n time=round(time_for_django / iterations * 1000 * 1000,\n 2)))\n print(\"Margate took {time} microseconds\".format(\n time=round(time_for_margate / iterations * 1000 * 1000,\n 2)))\n\n\nif __name__ == '__main__':\n do_performance_test()\n"},{"alpha_fraction":0.5516695380210876,"alphanum_fraction":0.5520654320716858,"avg_line_length":28.83070945739746,"blob_id":"72047c080f8cb1f2e08bf8c9610f6d29566ba7a5","content_id":"1b736dcbcd44540c9cadb9b0ee6c06a64ab51f57","detected_licenses":["MIT"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":7577,"license_type":"permissive","max_line_length":74,"num_lines":254,"path":"/margate/code_generation.py","repo_name":"timmartin/stencil","src_encoding":"UTF-8","text":"\"\"\"This module contains the building blocks of the final template\nfunction, in the form of bytecode generators.\n\nThere are a series of classes in here that are used as nodes in the\ncode generation tree, and each one implements a ``make_bytecode()``\nmethod.\n\n\"\"\"\n\nfrom bytecode import Instr, Label, ConcreteBytecode\n\n\nclass Sequence:\n \"\"\"A sequence of nodes that occur in a parse tree. Elements in the\n sequence can themselves be sequences (thus forming a tree).\n \"\"\"\n\n def __init__(self):\n self.elements = []\n\n def __eq__(self, other):\n if not isinstance(other, Sequence):\n return False\n\n return self.elements == other.elements\n\n def __repr__(self):\n return \"<Sequence %r>\" % self.elements\n\n def add_element(self, element):\n self.elements.append(element)\n\n\nclass ForBlock:\n def __init__(self, for_node):\n self.variable = for_node.variable\n self.collection = for_node.collection\n self.sequence = Sequence()\n\n def __eq__(self, other):\n if not isinstance(other, ForBlock):\n return False\n\n return (self.variable == other.variable) \\\n and (self.collection == other.collection) \\\n and (self.sequence == other.sequence)\n\n def __repr__(self):\n return \"<ForBlock %r in %r (%r)>\" % (self.variable,\n self.collection,\n self.sequence)\n\n def make_bytecode(self, symbol_table):\n catch_block = Label()\n start_loop = Label()\n end_loop = Label()\n end_for = Label()\n end_of_function = Label()\n\n inner = [Instr(\"SETUP_EXCEPT\", catch_block),\n Instr(\"SETUP_LOOP\", end_for),\n Instr(\"LOAD_NAME\", self.collection),\n Instr(\"GET_ITER\"),\n start_loop,\n Instr(\"FOR_ITER\", end_loop),\n Instr(\"STORE_NAME\", self.variable)]\n\n for element in self.sequence.elements:\n inner += element.make_bytecode(symbol_table)\n\n inner += [Instr(\"JUMP_ABSOLUTE\", start_loop),\n end_loop,\n Instr(\"POP_BLOCK\"),\n end_for,\n Instr(\"POP_BLOCK\"),\n Instr(\"JUMP_FORWARD\", end_of_function)]\n\n inner += [catch_block,\n # In the catch block, we catch everything\n # unconditionally (this is wrong, we should filter\n # out just StopException, which is the only thing we\n # have any business catching here).\n #\n # We pop (I think?) the exception and the stack\n # frame data.\n Instr(\"POP_TOP\"),\n Instr(\"POP_TOP\"),\n Instr(\"POP_TOP\"),\n\n # Pop the exception frame from the block stack.\n Instr(\"POP_EXCEPT\"),\n Instr(\"JUMP_FORWARD\", end_of_function),\n Instr(\"END_FINALLY\"),\n end_of_function]\n\n return inner\n\n\nclass IfBlock:\n \"\"\"The IfBlock generates code for a conditional expression.\n\n This currently only includes literal `True` and `False` as\n expressions, and doesn't support an `else` branch.\n \"\"\"\n\n def __init__(self, condition):\n self.condition = condition\n self.sequence = Sequence()\n\n def __eq__(self, other):\n if not isinstance(other, IfBlock):\n return False\n\n return (self.sequence == other.sequence) \\\n and (self.condition == other.condition)\n\n def __repr__(self):\n return \"<IfBlock %r, %r>\" % (self.condition, self.sequence)\n\n def make_bytecode(self, symbol_table):\n label_end = Label()\n\n compiled_expr = compile(self.condition,\n filename=\"<none>\",\n mode=\"eval\")\n concrete_bytecode = ConcreteBytecode.from_code(compiled_expr)\n inner = concrete_bytecode.to_bytecode()\n\n # The compiler drops a return statement at the end of the\n # expression, which we want to strip off so that we can use\n # the result\n inner.pop()\n\n inner += [Instr(\"POP_JUMP_IF_FALSE\", label_end)]\n\n for element in self.sequence.elements:\n inner += element.make_bytecode(symbol_table)\n\n inner += [label_end]\n\n return inner\n\n\nclass ExtendsBlock:\n def __init__(self, template):\n self.template = template\n self.sequence = Sequence()\n\n def make_bytecode(self, symbol_table):\n inner = []\n\n block_dict = {}\n for entry in self.sequence.elements:\n if isinstance(entry, ReplaceableBlock):\n block_dict[entry.name] = entry.make_bytecode(symbol_table)\n\n for entry in self.template.elements:\n if isinstance(entry, ReplaceableBlock) \\\n and (entry.name in block_dict):\n inner += block_dict[entry.name]\n else:\n inner += entry.make_bytecode(symbol_table)\n\n return inner\n\n\nclass ReplaceableBlock:\n def __init__(self, name):\n self.name = name\n self.sequence = Sequence()\n\n def __eq__(self, other):\n if not isinstance(other, ReplaceableBlock):\n return False\n\n return (self.name == other.name) \\\n and (self.sequence == other.sequence)\n\n def make_bytecode(self, symbol_table):\n inner = []\n\n for entry in self.sequence.elements:\n inner += entry.make_bytecode(symbol_table)\n\n return inner\n\n\nclass VariableExpansion:\n \"\"\"A variable expansion takes the value of an expression and includes\n it in the template output.\n\n \"\"\"\n\n def __init__(self, variable_name):\n self.variable_name = variable_name\n\n def make_bytecode(self, symbol_table):\n code = [Instr(\"LOAD_CONST\", symbol_table[\"write_func\"]),\n Instr(\"LOAD_NAME\", \"_output\"),\n Instr(\"LOAD_NAME\", \"str\")]\n\n compiled_expr = compile(self.variable_name,\n filename=\"<none>\",\n mode=\"eval\")\n concrete_bytecode = ConcreteBytecode.from_code(compiled_expr)\n inner = concrete_bytecode.to_bytecode()\n\n # The compiler drops a return statement at the end of the\n # expression, which we want to strip off so that we can use\n # the result\n inner.pop()\n\n code += inner\n\n code += [Instr(\"CALL_FUNCTION\", 1),\n Instr(\"CALL_FUNCTION\", 2),\n Instr(\"POP_TOP\")]\n\n return code\n\n\nclass Literal:\n def __init__(self, contents):\n self.contents = contents\n\n def __eq__(self, other):\n if not isinstance(other, Literal):\n return False\n\n return other.contents == self.contents\n\n def __repr__(self):\n return \"<Literal %r>\" % self.contents\n\n def make_bytecode(self, symbol_table):\n return [Instr(\"LOAD_CONST\", symbol_table[\"write_func\"]),\n Instr(\"LOAD_NAME\", \"_output\"),\n Instr(\"LOAD_CONST\", self.contents),\n Instr(\"CALL_FUNCTION\", 2),\n Instr(\"POP_TOP\")]\n\n\nclass Execution:\n \"\"\"\n .. todo:: This doesn't really belong in this module. It's here\n because we're combining two different types: block parser\n output and code generation.\n\n \"\"\"\n def __init__(self, expression):\n self.expression = expression\n\n def __repr__(self):\n return \"<Execution: %r>\" % self.expression\n"}],"string":"[\n {\n \"alpha_fraction\": 0.6021126508712769,\n \"alphanum_fraction\": 0.6021126508712769,\n \"avg_line_length\": 27.399999618530273,\n \"blob_id\": \"e2e9392ff4e558255ea03a0db2f9e8a6fc37f9f1\",\n \"content_id\": \"aca78220e2830dbc776f07b16bc8f44876fbda2e\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 852,\n \"license_type\": \"permissive\",\n \"max_line_length\": 74,\n \"num_lines\": 30,\n \"path\": \"/tests/compiler_test.py\",\n \"repo_name\": \"timmartin/stencil\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import unittest\\nimport unittest.mock\\nimport io\\nfrom collections import namedtuple\\n\\nfrom margate.compiler import Compiler\\n\\n\\nclass CompilerTest(unittest.TestCase):\\n\\n def test_extend_template(self):\\n template_locator = unittest.mock.MagicMock()\\n template_locator.find_template.return_value = '/wherever/foo.html'\\n\\n mock_file = io.StringIO(\\\"Title: {% block title %}{% endblock %}\\\")\\n\\n mock_open = unittest.mock.MagicMock(return_value=mock_file)\\n\\n with unittest.mock.patch('builtins.open', mock_open):\\n compiler = Compiler(template_locator)\\n\\n function = compiler.compile(\\n '{% extends \\\"base.html\\\" %}'\\n '{% block title %}'\\n 'The title'\\n '{% endblock %}')\\n\\n self.assertEquals(\\n function(),\\n \\\"Title: The title\\\")\\n\"\n },\n {\n \"alpha_fraction\": 0.6692422032356262,\n \"alphanum_fraction\": 0.6692422032356262,\n \"avg_line_length\": 31.669902801513672,\n \"blob_id\": \"ed3c924212f2a2c65ba1757c9041fd0b859092a9\",\n \"content_id\": \"33972b70b6c372c99a5e7deff68b3e9661620f65\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 3365,\n \"license_type\": \"permissive\",\n \"max_line_length\": 78,\n \"num_lines\": 103,\n \"path\": \"/margate/block_parser.py\",\n \"repo_name\": \"timmartin/stencil\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"\\\"\\\"\\\"The block parser splits a template into the blocks that make it\\nup. There are three different sorts of data in a template that get\\nhandled in different ways:\\n\\n* Literal text, which just gets embedded in the output (but may be\\n skipped or repeated by executing code around it).\\n* Executable code\\n* Embedded variable expressions that get expanded into text output.\\n\\nIt's implemented as a state machine, where the template starts out in\\nliteral text and transitions to a different state depending on whether\\nit encounters ``{{``, ``}}``, ``{%`` or ``%}``.\\n\\n\\\"\\\"\\\"\\n\\nfrom . import code_generation\\n\\n\\nclass LiteralState:\\n \\\"\\\"\\\"The literal state is the state the block parser is in when it is\\n processing anything that will be included in the template output\\n as a literal. The template starts out in literal state and\\n transitions back into it every time a block is closed.\\n \\\"\\\"\\\"\\n\\n def __init__(self, text):\\n self.text = text\\n\\n def __eq__(self, other):\\n if not isinstance(other, LiteralState):\\n return False\\n\\n return self.text == other.text\\n\\n def __repr__(self):\\n return \\\"<LiteralState %r>\\\" % self.text\\n\\n def accept_open_expression(self, offset, length):\\n return (ExpressionState(self.text[offset + length:]),\\n code_generation.Literal(self.text[:offset]))\\n\\n def accept_open_execution(self, offset, length):\\n return (ExecutionState(self.text[offset + length:]),\\n code_generation.Literal(self.text[:offset]))\\n\\n def accept_close_expression(self, offset, length):\\n raise Exception(\\\"Syntax error\\\")\\n\\n def accept_close_execution(self, offset, length):\\n raise Exception(\\\"Syntax error\\\")\\n\\n def accept_end_input(self):\\n return (None, code_generation.Literal(self.text))\\n\\n\\nclass ExecutionState:\\n \\\"\\\"\\\"Execution state is the state when any kind of code execution is\\n occurring. This includes the start and ends of blocks.\\n \\\"\\\"\\\"\\n\\n def __init__(self, text):\\n self.text = text\\n\\n def accept_open_expression(self, offset, length):\\n raise Exception(\\\"Syntax error\\\")\\n\\n def accept_open_execution(self, offset, length):\\n raise Exception(\\\"Syntax error\\\")\\n\\n def accept_close_expression(self, offset, length):\\n raise Exception(\\\"Syntax error\\\")\\n\\n def accept_close_execution(self, offset, length):\\n return (LiteralState(self.text[offset + length:]),\\n code_generation.Execution(self.text[:offset].strip()))\\n\\n def accept_end_input(self):\\n raise Exception(\\\"Syntax error\\\")\\n\\n\\nclass ExpressionState:\\n \\\"\\\"\\\"Expression state occurs when processing a ``{{ ... }}`` expression\\n that embeds the value of an expression into the output.\\n\\n \\\"\\\"\\\"\\n def __init__(self, text):\\n self.text = text\\n\\n def accept_open_expression(self, offset, length):\\n raise Exception(\\\"Syntax error: opened expression inside expression\\\")\\n\\n def accept_open_execution(self, offset, length):\\n raise Exception(\\\"Syntax error\\\")\\n\\n def accept_close_execution(self, offset, length):\\n raise Exception(\\\"Syntax error\\\")\\n\\n def accept_close_expression(self, offset, length):\\n return (LiteralState(self.text[offset + length:]),\\n code_generation.VariableExpansion(self.text[:offset].strip()))\\n\\n def accept_end_input(self):\\n raise Exception(\\\"Syntax error\\\")\\n\"\n },\n {\n \"alpha_fraction\": 0.6892988681793213,\n \"alphanum_fraction\": 0.6892988681793213,\n \"avg_line_length\": 16.828947067260742,\n \"blob_id\": \"c6d5814e0e811f4857b181048d60473e95c1745a\",\n \"content_id\": \"551f8928599359a240e605b8198e116d802c4d5c\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"reStructuredText\",\n \"length_bytes\": 1355,\n \"license_type\": \"permissive\",\n \"max_line_length\": 68,\n \"num_lines\": 76,\n \"path\": \"/docs/reference.rst\",\n \"repo_name\": \"timmartin/stencil\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"Reference\\n=========\\n\\nThe process of building a template into a function has the following\\nsteps:\\n\\n* The template is broken down into blocks (such as literal text and\\n code execution) that are treated differently. This is handled by\\n :py:mod:`the block parser <margate.block_parser>`.\\n* The resultant sequence of blocks is passed to the\\n :py:class:`~margate.parser.Parser` to be turned into a parse tree.\\n* The parse tree is processed by :py:mod:`code generation\\n <margate.code_generation>` to make Python bytecode.\\n\\nCompiler\\n--------\\n\\n.. automodule:: margate.compiler\\n\\n.. autoclass:: Compiler\\n :members:\\n\\n.. autoclass:: TemplateLocator\\n\\nCode generation\\n---------------\\n\\n.. automodule:: margate.code_generation\\n\\n.. autoclass:: Sequence\\n :members:\\n\\n.. autoclass:: ForBlock\\n :members:\\n\\n.. autoclass:: IfBlock\\n :members:\\n\\n.. autoclass:: ExtendsBlock\\n :members:\\n\\n.. autoclass:: ReplaceableBlock\\n :members:\\n\\n.. autoclass:: VariableExpansion\\n :members:\\n\\n.. autoclass:: Literal\\n :members:\\n\\n.. autoclass:: Execution\\n :members:\\n\\nBlock parser\\n------------\\n\\n.. automodule:: margate.block_parser\\n\\n.. autoclass:: LiteralState\\n :members:\\n\\n.. autoclass:: ExecutionState\\n :members:\\n\\n.. autoclass:: ExpressionState\\n :members:\\n\\nParser\\n------\\n\\n.. automodule:: margate.parser\\n\\n.. autoclass:: Parser\\n :members:\\n\\n.. autofunction:: parse_expression\\n\"\n },\n {\n \"alpha_fraction\": 0.6170306205749512,\n \"alphanum_fraction\": 0.6176168918609619,\n \"avg_line_length\": 33.81122589111328,\n \"blob_id\": \"fdd8ddc80d7284b4fe2329a6a76f2e57c89999d7\",\n \"content_id\": \"5f7c4edf66eefe0ce09fc1e4e4f40bd70f639cd5\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 6823,\n \"license_type\": \"permissive\",\n \"max_line_length\": 74,\n \"num_lines\": 196,\n \"path\": \"/margate/parser.py\",\n \"repo_name\": \"timmartin/stencil\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"\\\"\\\"\\\"The parser converts the template language into a usable structured\\nform.\\n\\nThere are two layers to the parsing: breaking the template down into\\nblocks (which is done by the :py:mod:`~margate.block_parser` module),\\nand parsing the expressions that appear in the execution blocks within\\nthe template.\\n\\nThe parser in this module uses a combination of ad hoc parsing,\\n`funcparserlib <https://pypi.python.org/pypi/funcparserlib>`_ and\\n`ast.parse\\n<https://docs.python.org/3/library/ast.html#ast.parse>`_. The\\ntop-level rules in the language (``if``, ``for``, ``endif`` etc.) are\\nhandled ad hoc since they are not recursive. However, the expression\\nthat is given as an argument to ``if`` is an arbitrary expression and\\nparsed\\n\\n\\\"\\\"\\\"\\n\\nimport re\\nimport ast\\nfrom collections import namedtuple\\nimport funcparserlib.parser\\n\\nfrom . import code_generation, compiler\\n\\nIfNode = namedtuple('IfNode', ['expression'])\\nForNode = namedtuple('ForNode', ['variable', 'collection'])\\nExtendsNode = namedtuple('ExtendsNode', ['template_name'])\\nBlockNode = namedtuple('BlockNode', ['block_name'])\\n\\n\\nclass UnsupportedElementException(Exception):\\n pass\\n\\n\\ndef parse_expression(expression):\\n \\\"\\\"\\\"Parse an expression that appears in an execution node, i.e. a\\n block delimited by ``{% %}``.\\n\\n This can be a compound expression like a ``for`` statement with\\n several sub-expressions, or it can just be a single statement such\\n as ``endif``.\\n\\n :param list expression: Tokenised expression.\\n\\n \\\"\\\"\\\"\\n from funcparserlib.parser import a, skip, some\\n\\n # For if expressions, we rely on the Python parser to process the\\n # expression rather than using our own parser.\\n if expression[0] == 'if':\\n return IfNode(ast.parse(' '.join(expression[1:]), mode=\\\"eval\\\"))\\n\\n variable_name = some(lambda x: re.match(r'[a-zA-Z_]+', x))\\n\\n # TODO We use the same function twice, first to match the token\\n # and then to extract the value we care about from the token\\n # (namely the contents of the quoted string). This smells wrong.\\n def extract_quoted_string(x):\\n result = re.match(r'\\\\\\\"([^\\\\\\\"]*)\\\\\\\"', x)\\n if result:\\n return result.groups(1)\\n\\n quoted_string = some(extract_quoted_string)\\n\\n for_expression = (\\n skip(a('for'))\\n + (variable_name >> str)\\n + skip(a('in'))\\n + (variable_name >> str))\\n\\n extends_expression = (\\n skip(a('extends'))\\n + (quoted_string >> extract_quoted_string))\\n\\n block_expression = (\\n skip(a('block'))\\n + (variable_name >> str))\\n\\n def make_for_node(x): return ForNode(*x)\\n\\n def make_extends_node(x): return ExtendsNode(*x)\\n\\n parser = ((for_expression >> make_for_node)\\n | (extends_expression >> make_extends_node)\\n | (block_expression >> BlockNode))\\n\\n try:\\n return parser.parse(expression)\\n except funcparserlib.parser.NoParseError as e:\\n raise Exception(\\\"Invalid expression '%s'\\\" % expression)\\n\\n\\nclass Parser:\\n \\\"\\\"\\\"The Parser is responsible for turning a template in \\\"tokenised\\\"\\n form into a tree structure from which it is straightforward to\\n generate bytecode.\\n\\n The input is in the form of a flat list of atomic elements of the\\n template, where literal text (of any length) is a single element,\\n and a ``{% %}`` or ``{{ }}`` expression is a single element.\\n\\n Figuring out nesting of starting and ending of loops happens\\n within the parser.\\n\\n \\\"\\\"\\\"\\n\\n def __init__(self, template_locator=None):\\n\\n def _get_related_template(template_name):\\n template = template_locator.find_template(template_name)\\n if not template:\\n raise FileNotFoundError()\\n with open(template) as template_file:\\n compiler_obj = compiler.Compiler(template_locator)\\n return compiler_obj._get_chunks(template_file.read())\\n\\n self._sub_template_locator = _get_related_template\\n\\n def parse(self, tokens):\\n \\\"\\\"\\\"Parse a token sequence into a\\n :py:class:`~margate.code_generation.Sequence` object.\\n\\n \\\"\\\"\\\"\\n\\n sequence = code_generation.Sequence()\\n\\n self._parse_into_sequence(sequence, tokens)\\n\\n return sequence\\n\\n def _parse_into_sequence(self, sequence, tokens,\\n termination_condition=None):\\n token_iter = iter(tokens)\\n\\n try:\\n while True:\\n token = next(token_iter)\\n if termination_condition and termination_condition(token):\\n return\\n\\n if isinstance(token, code_generation.Execution):\\n # An execution node always starts a subsequence\\n # (i.e. a node in the tree with its own\\n # children). Since we've ruled out the case where\\n # this is the termination of an existing block,\\n # any Execution node is the start of a new block.\\n block = self._parse_subsequence(token, token_iter)\\n sequence.add_element(block)\\n else:\\n sequence.add_element(token)\\n except StopIteration:\\n return\\n\\n def _parse_subsequence(self, token, token_iter):\\n node = parse_expression(\\n re.split(r'\\\\s+',\\n token.expression.strip()))\\n\\n if isinstance(node, IfNode):\\n block = code_generation.IfBlock(node.expression)\\n inner_termination_condition = self._end_sequence(\\\"endif\\\")\\n elif isinstance(node, ForNode):\\n block = code_generation.ForBlock(node)\\n inner_termination_condition = self._end_sequence(\\\"endfor\\\")\\n elif isinstance(node, ExtendsNode):\\n if self._sub_template_locator is None:\\n raise UnsupportedElementException(\\n \\\"Parser is not configured to support \\\"\\n \\\"extending other templates\\\")\\n\\n content = self._sub_template_locator(\\n node.template_name)\\n parsed = self.parse(content)\\n block = code_generation.ExtendsBlock(parsed)\\n inner_termination_condition = None\\n elif isinstance(node, BlockNode):\\n block = code_generation.ReplaceableBlock(\\n node.block_name)\\n inner_termination_condition = self._end_sequence(\\\"endblock\\\")\\n else:\\n raise Exception(\\\"Unrecognised block type\\\")\\n\\n self._parse_into_sequence(block.sequence,\\n token_iter,\\n inner_termination_condition)\\n\\n return block\\n\\n def _end_sequence(self, end_token):\\n def is_end_token(token):\\n return (isinstance(token, code_generation.Execution)\\n and token.expression == end_token)\\n\\n return is_end_token\\n\"\n },\n {\n \"alpha_fraction\": 0.6312466859817505,\n \"alphanum_fraction\": 0.6317727565765381,\n \"avg_line_length\": 27.37313461303711,\n \"blob_id\": \"113304ec07f36e078e57f196bc962d9c1e7321dd\",\n \"content_id\": \"078b3ddbe9161cac0bacda13e779b43e4207ebcf\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1901,\n \"license_type\": \"permissive\",\n \"max_line_length\": 79,\n \"num_lines\": 67,\n \"path\": \"/margate/django/__init__.py\",\n \"repo_name\": \"timmartin/stencil\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"\\\"\\\"\\\"\\nCode for interfacing Margate with Django\\n\\\"\\\"\\\"\\n\\nfrom django.template import TemplateDoesNotExist\\nfrom django.template.utils import get_app_template_dirs\\nfrom django.template.loaders.filesystem import Loader as DjangoFileSystemLoader\\nfrom django.template.backends.base import BaseEngine\\n\\nfrom margate.compiler import Compiler\\n\\n\\nclass MargateLoader(DjangoFileSystemLoader):\\n def get_dirs(self):\\n return get_app_template_dirs('margate')\\n\\n\\nclass MargateEngine(BaseEngine):\\n app_dirname = \\\"margate\\\"\\n\\n def __init__(self, params):\\n params = params.copy()\\n\\n try:\\n params.pop('OPTIONS')\\n except KeyError:\\n pass\\n\\n super(MargateEngine, self).__init__(params)\\n\\n self.loader = MargateLoader(self)\\n self.file_charset = 'utf-8'\\n self.debug = False\\n self.template_libraries = []\\n self.template_builtins = []\\n self.cache = {}\\n\\n def get_template(self, template_name):\\n if template_name in self.cache:\\n return self.cache[template_name]\\n else:\\n compiler = Compiler()\\n template_func = compiler.compile(self.find_template(template_name))\\n template = Template(template_func)\\n self.cache[template_name] = template\\n return template\\n\\n def find_template(self, name):\\n tried = []\\n\\n for source in self.loader.get_template_sources(name):\\n try:\\n contents = self.loader.get_contents(source)\\n except TemplateDoesNotExist:\\n tried.append((source, 'Source does not exist'))\\n else:\\n return contents\\n\\n raise TemplateDoesNotExist(name, tried=tried)\\n\\n\\nclass Template:\\n def __init__(self, template_func):\\n self.template_func = template_func\\n\\n def render(self, context=None, request=None):\\n return self.template_func(**context)\\n\"\n },\n {\n \"alpha_fraction\": 0.7026459574699402,\n \"alphanum_fraction\": 0.7039059400558472,\n \"avg_line_length\": 28.382715225219727,\n \"blob_id\": \"8ffc1b8fa74d7b917831a40bf51c392de1a607c9\",\n \"content_id\": \"f4f9ae6f44105859e2ad21a9d82a8ba5a73eebbd\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"reStructuredText\",\n \"length_bytes\": 2381,\n \"license_type\": \"permissive\",\n \"max_line_length\": 70,\n \"num_lines\": 81,\n \"path\": \"/docs/index.rst\",\n \"repo_name\": \"timmartin/stencil\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"\\nWelcome to Margate's documentation!\\n===================================\\n\\n.. toctree::\\n :maxdepth: 2\\n :caption: Contents:\\n\\n django\\n todo_list\\n reference\\n\\nIntroduction\\n------------\\n\\nMargate is a templating engine for Python that compiles templates down\\nto Python bytecode. It is mostly Django-compatible in spirit, though\\nit falls short of being a drop-in replacement for Django templates.\\n\\nEarly performance testing suggests that it is around 10 times faster\\nthan regular Django templates.\\n\\nExample\\n-------\\n\\nSimply instantiate a :py:class:`~margate.compiler.Compiler` and call\\nits :py:meth:`~margate.compiler.Compiler.compile()` method with the\\ntemplate source::\\n\\n template_source = \\\"\\\"\\\"\\n <p>Hello {{ person }}, my name is {{ me }}\\n \\\"\\\"\\\"\\n\\n compiler = margate.compiler.Compiler()\\n template_function = compiler.compile(template_source)\\n\\nYou now have a function that can be called to yield the rendered\\ncontent. Pass variable values in keyword arguments::\\n\\n print(template_function(person=\\\"alice\\\",\\n me=\\\"a template\\\"))\\n\\nFAQ\\n---\\n\\nWhy oh why?\\n'''''''''''\\n\\nMostly to learn about Python bytecode.\\n\\nYou don't really expect the speed benefit to be worth it, do you?\\n'''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''\\n\\nTemplate rendering is extremely unlikely to be the bottleneck in your\\nweb application. Optimising it will at best save a constant overhead\\nfrom each page view, and will have a proportionately lower impact on\\nyour slowest pages.\\n\\nOn the other hand, it's free speed. It can probably save you a few\\nmilliseconds per page view, which might help when you're trying to get\\nyour landing page to load as fast as possible. Assuming the templating\\nlanguage has all the same features, why wouldn't you? Template\\nexpansion probably can't be parallelised with anything else your web\\napp is doing, so miliseconds here contribute directly to the bottom\\nline.\\n\\nWhat's with the name?\\n'''''''''''''''''''''\\n\\nThe library was originally called Stencil, but it turns out that lots\\nof people call their templating library Stencil, so I had to change.\\n\\nI hate spending time thinking of names for projects, so when I get\\nstuck I just use the name of an English seaside town. There are plenty\\nof them and they are reasonably unique and memorable names.\\n\\nIndices and tables\\n==================\\n\\n* :ref:`genindex`\\n* :ref:`modindex`\\n* :ref:`search`\\n\"\n },\n {\n \"alpha_fraction\": 0.7725631594657898,\n \"alphanum_fraction\": 0.7739169597625732,\n \"avg_line_length\": 36.559322357177734,\n \"blob_id\": \"735f7bda472ae0f1abd6609dc9cd93dda2080c29\",\n \"content_id\": \"98789434acd735205b89016ad67f8a658fc1783b\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"reStructuredText\",\n \"length_bytes\": 2216,\n \"license_type\": \"permissive\",\n \"max_line_length\": 70,\n \"num_lines\": 59,\n \"path\": \"/README.rst\",\n \"repo_name\": \"timmartin/stencil\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"I originally wrote Margate as an exercise in learning about Python\\nbytecode, but I released it in case it was somewhat useful. However,\\nafter releasing it I discovered that Jinja2 also includes a bytecode\\ngenerator, so probably makes this obsolete for any practical\\npurposes. I'm not actively maintaining this project any more.\\n\\nMargate\\n=======\\n\\nMargate is a library that provides a Django-compatible template engine\\nwhere the templates compile to raw Python bytecode. In theory, this\\nwill make them expand faster. This is at a very early stage and is\\nexperimental.\\n\\nFeatures\\n--------\\n\\nCurrently Margate supports the following:\\n\\n* ``for`` loops\\n* ``if`` blocks with arbitrary conditions (but not ``else`` blocks)\\n* ``extends`` nodes and ``block`` nodes that can be overridden in\\n extending templates\\n* Arbitrary nesting of the above (though this isn't well tested yet)\\n* Embedding expression values in output\\n\\nOperation\\n---------\\n\\nThe compiler takes a text template and ultimately outputs an ordinary\\nPython function, which you can call (passing context data as the\\n`kwargs`) to get rendered text output.\\n\\nThe first stage is to parse it into a tree structure. In theory this\\nmight be able to reuse some parsing code from within Django, but the\\nAPI doesn't really seem to be designed to be extended. Instead,\\nthere's a small ad hoc parser. First it \\\"tokenises\\\", where each\\n\\\"token\\\" is a chunk of the template (a literal string, a variable\\ninclusion or a `{% xyz %}` block. The expressions inside the execution\\nblocks also get parsed as a separate operation.\\n\\nThe resultant parse tree is processed by a code generator that\\ngenerates abstract bytecode, using the `Bytecode\\n<https://bytecode.readthedocs.io/en/latest/>`_ module to turn this\\ninto concrete bytecode that can be processed natively by the Python\\nvirtual machine. Code generation just expands out some templates with\\nhand-generated bytecode.\\n\\nPerformance tests\\n-----------------\\n\\nI've only done minimal performance tests so far, but on a couple of\\nsimple cases Margate is 10 times faster than \\\"real\\\" Django\\ntemplates.\\n\\nSee `performance_test.py` for the details.\\n\\nThis probably means you can shave a few milliseconds off your page\\nload time by using Margate.\\n\"\n },\n {\n \"alpha_fraction\": 0.6586452722549438,\n \"alphanum_fraction\": 0.6586452722549438,\n \"avg_line_length\": 25.069766998291016,\n \"blob_id\": \"e3ab0f56765bff05ebac3d13dbeff819072f6005\",\n \"content_id\": \"5bd8af2ae3842a2747c4c664030befdd86bb38f4\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"reStructuredText\",\n \"length_bytes\": 1122,\n \"license_type\": \"permissive\",\n \"max_line_length\": 70,\n \"num_lines\": 43,\n \"path\": \"/docs/django.rst\",\n \"repo_name\": \"timmartin/stencil\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"Using from Django\\n=================\\n\\nLanguage compatibility\\n----------------------\\n\\nThe Margate language is very similar in style to the built-in Django\\ntemplate engine, but differs in a number of important details.\\n\\nMost importantly, ``{{ }}`` expressions (and expressions in ``for``\\nloop commands etc.) are treated as arbitrary Python code. This means\\nthat they are more flexible than Django template language, but\\nprevents you from taking advantage of the shortcuts that automatically\\nconvert object attributes into dictionary member lookup.\\n\\nFor example, instead of writing::\\n\\n {% for tag in blog_post.tags %}\\n ...\\n {% endfor %}\\n\\nif ``blog_post`` is a dictionary, you will need to write::\\n\\n {% for tag in blog_post[\\\"tags\\\"] %}\\n ...\\n {% endfor %}\\n\\nAnother limitation is that none of the built-in filters are currently\\nsupported.\\n\\nConfiguring Django to use the engine\\n------------------------------------\\n\\nTo enable Margate in Django, simply add it to the ``TEMPLATES`` in\\n``settings.py``::\\n\\n TEMPLATES = [\\n {\\n 'BACKEND': 'margate.django.MargateEngine',\\n 'DIRS': [],\\n 'APP_DIRS': True\\n }\\n ]\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.6261342763900757,\n \"alphanum_fraction\": 0.6261342763900757,\n \"avg_line_length\": 27.256410598754883,\n \"blob_id\": \"43f59a97e5040c874866956511659a54c4ffa7aa\",\n \"content_id\": \"68149f41aebcfb7a36ba8f31f72b2ee8569ff549\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1102,\n \"license_type\": \"permissive\",\n \"max_line_length\": 70,\n \"num_lines\": 39,\n \"path\": \"/margate/__init__.py\",\n \"repo_name\": \"timmartin/stencil\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"\\\"\\\"\\\"\\nCompiled templates\\n\\\"\\\"\\\"\\n\\nimport os.path\\nfrom django.template import TemplateDoesNotExist\\nfrom django.template.backends.base import BaseEngine\\n\\n\\nclass Template:\\n def __init__(self, code, engine):\\n self.code = code\\n self.engine = engine\\n\\n super(Template, self).__init__()\\n\\n def render(self, context=None, request=None):\\n return self.code\\n\\n\\nclass FasterEngine(BaseEngine):\\n app_dirname = 'compiled'\\n\\n def __init__(self, params):\\n params.pop('OPTIONS')\\n\\n super(FasterEngine, self).__init__(params)\\n\\n def get_template(self, template_name):\\n for template_dir in self.template_dirs:\\n candidate_file = os.path.join(template_dir, template_name)\\n if os.path.exists(candidate_file):\\n with open(candidate_file, \\\"r\\\") as template_contents:\\n return Template(template_contents.read(), self)\\n raise TemplateDoesNotExist(\\\"Template %s does not exist\\\"\\n % template_name)\\n\\n def from_string(self, template_code):\\n return Template(template_code, self)\\n\"\n },\n {\n \"alpha_fraction\": 0.8163265585899353,\n \"alphanum_fraction\": 0.8163265585899353,\n \"avg_line_length\": 23.25,\n \"blob_id\": \"973549fd176abadd3d8035f46085ec37907585dc\",\n \"content_id\": \"069fb509d54ca998880b491cc0e0e7d695dc38a6\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 98,\n \"license_type\": \"permissive\",\n \"max_line_length\": 44,\n \"num_lines\": 4,\n \"path\": \"/tests/__init__.py\",\n \"repo_name\": \"timmartin/stencil\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import hy\\n\\nfrom .hy_parser_test import HyParserTest\\nfrom .hy_compiler_test import HyCompilerTest\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.5543872117996216,\n \"alphanum_fraction\": 0.5554749965667725,\n \"avg_line_length\": 29.9887638092041,\n \"blob_id\": \"33af19cc80fd87f4bfa4c5a2fa7319c49b4d9716\",\n \"content_id\": \"44ceb410fa6376fbd6e635f870c5e56260123984\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2758,\n \"license_type\": \"permissive\",\n \"max_line_length\": 73,\n \"num_lines\": 89,\n \"path\": \"/margate/compiler.py\",\n \"repo_name\": \"timmartin/stencil\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"\\\"\\\"\\\"The compiler module contains the public interface to the library.\\n\\n\\\"\\\"\\\"\\n\\nimport re\\nimport io\\nfrom bytecode import Bytecode, Instr\\n\\nfrom . import parser, block_parser\\n\\n\\nclass TemplateLocator:\\n \\\"\\\"\\\"The template locator abstracts the details of locating templates\\n when one template extends another (such as with the ``{% extends %}``\\n tag)self.\\n \\\"\\\"\\\"\\n\\n def find_template(self, template_name):\\n pass\\n\\n\\nclass Compiler:\\n \\\"\\\"\\\"The Compiler takes a template in string form and returns bytecode\\n that implements the template.\\n \\\"\\\"\\\"\\n\\n def __init__(self, template_locator=None):\\n if template_locator is None:\\n template_locator = TemplateLocator()\\n\\n self._template_locator = template_locator\\n\\n def compile(self, source):\\n \\\"\\\"\\\"Compile the template source code into a callable function.\\n\\n :return: A callable function that returns rendered content as\\n a string when called.\\n \\\"\\\"\\\"\\n bytecode = self._make_bytecode(source, self._template_locator)\\n\\n def inner(**local_scope):\\n local_scope[\\\"_output\\\"] = io.StringIO()\\n exec(bytecode, {}, local_scope)\\n return local_scope['_output'].getvalue()\\n\\n return inner\\n\\n def _get_chunks(self, source):\\n state = block_parser.LiteralState(source)\\n\\n while state:\\n match = re.search(r\\\"\\\\{\\\\{|\\\\}\\\\}|\\\\{%|%\\\\}\\\",\\n state.text)\\n if match is None:\\n (state, chunk) = state.accept_end_input()\\n else:\\n separator = match.group(0)\\n\\n if separator == \\\"{{\\\":\\n action = state.accept_open_expression\\n elif separator == \\\"}}\\\":\\n action = state.accept_close_expression\\n elif separator == \\\"{%\\\":\\n action = state.accept_open_execution\\n elif separator == \\\"%}\\\":\\n action = state.accept_close_execution\\n else:\\n raise Exception(\\\"Unrecognised separator\\\")\\n\\n (state, chunk) = action(match.start(0),\\n len(match.group(0)))\\n\\n yield chunk\\n\\n def _make_bytecode(self, source, template_locator):\\n instructions = []\\n symbol_table = {\\n \\\"write_func\\\": io.StringIO.write\\n }\\n\\n parser_obj = parser.Parser(self._template_locator)\\n sequence = parser_obj.parse(self._get_chunks(source))\\n\\n for item in sequence.elements:\\n instructions += item.make_bytecode(symbol_table)\\n\\n bytecode = Bytecode(instructions + [Instr(\\\"LOAD_CONST\\\", None),\\n Instr(\\\"RETURN_VALUE\\\")])\\n return bytecode.to_code()\\n\"\n },\n {\n \"alpha_fraction\": 0.29729729890823364,\n \"alphanum_fraction\": 0.5945945978164673,\n \"avg_line_length\": 11.333333015441895,\n \"blob_id\": \"fc2651f87b34f7d8e4b77e321a132f2ba54fbf47\",\n \"content_id\": \"8704b5d8623035808e2b97896d64aaf44cf1717e\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Text\",\n \"length_bytes\": 37,\n \"license_type\": \"permissive\",\n \"max_line_length\": 13,\n \"num_lines\": 3,\n \"path\": \"/test_requirements.txt\",\n \"repo_name\": \"timmartin/stencil\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"flake8==3.2.1\\nnose==1.3.7\\nhy==0.12.1\\n\"\n },\n {\n \"alpha_fraction\": 0.505464494228363,\n \"alphanum_fraction\": 0.5245901346206665,\n \"avg_line_length\": 27.153846740722656,\n \"blob_id\": \"59caa16bf196178456587ad25b0837acb9128a9d\",\n \"content_id\": \"20bb011027918ca9481afb1af3250f0c1f884fea\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 366,\n \"license_type\": \"permissive\",\n \"max_line_length\": 46,\n \"num_lines\": 13,\n \"path\": \"/setup.py\",\n \"repo_name\": \"timmartin/stencil\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from setuptools import setup\\n\\nsetup(name=\\\"margate\\\",\\n version='0.0.1',\\n description='Faster Django templates',\\n author='Tim Martin',\\n author_email='tim@asymptotic.co.uk',\\n license='MIT',\\n packages=['margate'],\\n install_requires=['django',\\n 'bytecode>=0.5',\\n 'funcparserlib>=0.3'],\\n zip_safe=False)\\n\"\n },\n {\n \"alpha_fraction\": 0.5625,\n \"alphanum_fraction\": 0.7291666865348816,\n \"avg_line_length\": 15,\n \"blob_id\": \"9e8018f8693120d275e26154537591b79eacfed0\",\n \"content_id\": \"b56b16ce3632f02bb6d38f15fbb7ee7000c502a6\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Text\",\n \"length_bytes\": 48,\n \"license_type\": \"permissive\",\n \"max_line_length\": 20,\n \"num_lines\": 3,\n \"path\": \"/requirements.txt\",\n \"repo_name\": \"timmartin/stencil\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"django==1.10\\nbytecode==0.5\\nfuncparserlib==0.3.6\\n\"\n },\n {\n \"alpha_fraction\": 0.5076410174369812,\n \"alphanum_fraction\": 0.5112531185150146,\n \"avg_line_length\": 35.35353469848633,\n \"blob_id\": \"032828faae311604bd6889bc3b31df7ebf06de03\",\n \"content_id\": \"bf34f84c96344bd9c6d053704e27804fd3efd411\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 3599,\n \"license_type\": \"permissive\",\n \"max_line_length\": 78,\n \"num_lines\": 99,\n \"path\": \"/tests/parser_test.py\",\n \"repo_name\": \"timmartin/stencil\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import unittest\\nimport unittest.mock\\nimport ast\\nimport io\\n\\nfrom margate.parser import (Parser, parse_expression, IfNode, ForNode,\\n ExtendsNode)\\nfrom margate.code_generation import (Literal, Sequence, IfBlock,\\n ForBlock, ExtendsBlock, ReplaceableBlock,\\n Execution)\\n\\n\\nclass ParserTest(unittest.TestCase):\\n def test_simple_sequence(self):\\n parser = Parser()\\n\\n sequence = parser.parse([Literal(\\\"Foo\\\"),\\n Literal(\\\"Bar\\\")])\\n\\n self.assertEqual(2, len(sequence.elements))\\n\\n def test_parse_if_block(self):\\n parser = Parser()\\n\\n sequence = parser.parse([Literal(\\\"Foo\\\"),\\n Execution(\\\"if True\\\"),\\n Literal(\\\"Bar\\\"),\\n Execution(\\\"endif\\\"),\\n Literal(\\\"Baz\\\")])\\n\\n self.assertEqual(sequence.elements[0],\\n Literal(\\\"Foo\\\"))\\n\\n self.assertIsInstance(sequence.elements[1],\\n IfBlock)\\n # TODO There doesn't seem to be an easy way to verify the\\n # contents of the AST object.\\n self.assertEqual(sequence.elements[1].sequence.elements[0],\\n Literal(\\\"Bar\\\"))\\n\\n self.assertEqual(sequence.elements[2],\\n Literal(\\\"Baz\\\"))\\n\\n def test_parse_for_loop(self):\\n parser = Parser()\\n\\n sequence = parser.parse([Execution(\\\"for x in things\\\"),\\n Literal(\\\"bar\\\"),\\n Execution(\\\"endfor\\\")])\\n\\n expected_sequence = Sequence()\\n block = ForBlock(ForNode('x', 'things'))\\n block.sequence.add_element(Literal(\\\"bar\\\"))\\n expected_sequence.add_element(block)\\n\\n self.assertEqual(sequence.elements,\\n expected_sequence.elements)\\n\\n def test_parse_nested(self):\\n parser = Parser()\\n\\n sequence = parser.parse([Execution(\\\"for x in things\\\"),\\n Execution(\\\"if x % 2\\\"),\\n Execution(\\\"endif\\\"),\\n Execution(\\\"endfor\\\")])\\n\\n self.assertEqual(1,\\n len(sequence.elements))\\n self.assertIsInstance(sequence.elements[0],\\n ForBlock)\\n\\n self.assertIsInstance(sequence.elements[0].sequence.elements[0],\\n IfBlock)\\n self.assertEqual(1,\\n len(sequence.elements[0].sequence.elements))\\n\\n def test_expression_parser(self):\\n \\\"\\\"\\\"Test the expression parser used within the {% %} node\\\"\\\"\\\"\\n\\n node = parse_expression([\\\"if\\\", \\\"True\\\"])\\n self.assertIsInstance(node, IfNode)\\n self.assertEqual(node.expression.body.value,\\n True)\\n\\n node = parse_expression([\\\"for\\\", \\\"var\\\", \\\"in\\\", \\\"collection\\\"])\\n self.assertIsInstance(node, ForNode)\\n self.assertEqual(node, ForNode(\\\"var\\\", \\\"collection\\\"))\\n\\n node = parse_expression([\\\"if\\\", \\\"x\\\", \\\"<\\\", \\\"y\\\"])\\n self.assertIsInstance(node, IfNode)\\n self.assertEqual(ast.dump(node.expression),\\n \\\"Expression(body=Compare(\\\"\\n \\\"left=Name(id='x', ctx=Load()), ops=[Lt()],\\\"\\n \\\" comparators=[Name(id='y', ctx=Load())]))\\\")\\n\\n node = parse_expression([\\\"extends\\\", '\\\"other.html\\\"'])\\n self.assertIsInstance(node, ExtendsNode)\\n self.assertEqual(node.template_name,\\n \\\"other.html\\\")\\n\"\n },\n {\n \"alpha_fraction\": 0.6567550301551819,\n \"alphanum_fraction\": 0.6742081642150879,\n \"avg_line_length\": 22.799999237060547,\n \"blob_id\": \"5c8a346386634c9304a2eb8002344272499b2e90\",\n \"content_id\": \"ee8469aa57f81c7650bcfdcfb77b8a36c94e6dfc\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1547,\n \"license_type\": \"permissive\",\n \"max_line_length\": 71,\n \"num_lines\": 65,\n \"path\": \"/performance_test.py\",\n \"repo_name\": \"timmartin/stencil\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"\\\"\\\"\\\"Run the same template through Django templates and through\\nmargate, to give a crude performance comparison.\\n\\n\\\"\\\"\\\"\\n\\nimport timeit\\n\\nfrom django.template import Context, Engine\\n\\nfrom margate.compiler import Compiler\\n\\nexpression = \\\"\\\"\\\"\\nHello {{ name }}, I am a {{ whom }}\\n\\nI'm going to count:\\n{% for i in numbers %}\\nnext: {{ i }}\\n{% endfor %}\\n\\\"\\\"\\\"\\n\\n# Give some variables to print. Note that we have to convert the\\n# numbers to string ahead of time, because Django wants to do\\n# l10n-specific stuff with numbers and barfs if you attempt to display\\n# a number without having settings set up.\\nvariables = {\\n 'name': 'world',\\n 'whom': 'template',\\n 'numbers': [str(i) for i in range(200)]\\n}\\n\\ncompiler = Compiler()\\nmargate_func = compiler.compile(expression)\\n\\nengine = Engine()\\ntemplate = engine.from_string(expression)\\ncontext = Context(variables)\\n\\n\\ndef margate_render():\\n return margate_func(**variables)\\n\\n\\ndef django_render():\\n return template.render(context)\\n\\n\\ndef do_performance_test():\\n assert margate_render() == django_render()\\n\\n iterations = 1000\\n\\n time_for_django = timeit.timeit(django_render, number=iterations)\\n\\n time_for_margate = timeit.timeit(margate_render, number=iterations)\\n\\n print(\\\"Django took {time} microseconds\\\".format(\\n time=round(time_for_django / iterations * 1000 * 1000,\\n 2)))\\n print(\\\"Margate took {time} microseconds\\\".format(\\n time=round(time_for_margate / iterations * 1000 * 1000,\\n 2)))\\n\\n\\nif __name__ == '__main__':\\n do_performance_test()\\n\"\n },\n {\n \"alpha_fraction\": 0.5516695380210876,\n \"alphanum_fraction\": 0.5520654320716858,\n \"avg_line_length\": 28.83070945739746,\n \"blob_id\": \"72047c080f8cb1f2e08bf8c9610f6d29566ba7a5\",\n \"content_id\": \"1b736dcbcd44540c9cadb9b0ee6c06a64ab51f57\",\n \"detected_licenses\": [\n \"MIT\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 7577,\n \"license_type\": \"permissive\",\n \"max_line_length\": 74,\n \"num_lines\": 254,\n \"path\": \"/margate/code_generation.py\",\n \"repo_name\": \"timmartin/stencil\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"\\\"\\\"\\\"This module contains the building blocks of the final template\\nfunction, in the form of bytecode generators.\\n\\nThere are a series of classes in here that are used as nodes in the\\ncode generation tree, and each one implements a ``make_bytecode()``\\nmethod.\\n\\n\\\"\\\"\\\"\\n\\nfrom bytecode import Instr, Label, ConcreteBytecode\\n\\n\\nclass Sequence:\\n \\\"\\\"\\\"A sequence of nodes that occur in a parse tree. Elements in the\\n sequence can themselves be sequences (thus forming a tree).\\n \\\"\\\"\\\"\\n\\n def __init__(self):\\n self.elements = []\\n\\n def __eq__(self, other):\\n if not isinstance(other, Sequence):\\n return False\\n\\n return self.elements == other.elements\\n\\n def __repr__(self):\\n return \\\"<Sequence %r>\\\" % self.elements\\n\\n def add_element(self, element):\\n self.elements.append(element)\\n\\n\\nclass ForBlock:\\n def __init__(self, for_node):\\n self.variable = for_node.variable\\n self.collection = for_node.collection\\n self.sequence = Sequence()\\n\\n def __eq__(self, other):\\n if not isinstance(other, ForBlock):\\n return False\\n\\n return (self.variable == other.variable) \\\\\\n and (self.collection == other.collection) \\\\\\n and (self.sequence == other.sequence)\\n\\n def __repr__(self):\\n return \\\"<ForBlock %r in %r (%r)>\\\" % (self.variable,\\n self.collection,\\n self.sequence)\\n\\n def make_bytecode(self, symbol_table):\\n catch_block = Label()\\n start_loop = Label()\\n end_loop = Label()\\n end_for = Label()\\n end_of_function = Label()\\n\\n inner = [Instr(\\\"SETUP_EXCEPT\\\", catch_block),\\n Instr(\\\"SETUP_LOOP\\\", end_for),\\n Instr(\\\"LOAD_NAME\\\", self.collection),\\n Instr(\\\"GET_ITER\\\"),\\n start_loop,\\n Instr(\\\"FOR_ITER\\\", end_loop),\\n Instr(\\\"STORE_NAME\\\", self.variable)]\\n\\n for element in self.sequence.elements:\\n inner += element.make_bytecode(symbol_table)\\n\\n inner += [Instr(\\\"JUMP_ABSOLUTE\\\", start_loop),\\n end_loop,\\n Instr(\\\"POP_BLOCK\\\"),\\n end_for,\\n Instr(\\\"POP_BLOCK\\\"),\\n Instr(\\\"JUMP_FORWARD\\\", end_of_function)]\\n\\n inner += [catch_block,\\n # In the catch block, we catch everything\\n # unconditionally (this is wrong, we should filter\\n # out just StopException, which is the only thing we\\n # have any business catching here).\\n #\\n # We pop (I think?) the exception and the stack\\n # frame data.\\n Instr(\\\"POP_TOP\\\"),\\n Instr(\\\"POP_TOP\\\"),\\n Instr(\\\"POP_TOP\\\"),\\n\\n # Pop the exception frame from the block stack.\\n Instr(\\\"POP_EXCEPT\\\"),\\n Instr(\\\"JUMP_FORWARD\\\", end_of_function),\\n Instr(\\\"END_FINALLY\\\"),\\n end_of_function]\\n\\n return inner\\n\\n\\nclass IfBlock:\\n \\\"\\\"\\\"The IfBlock generates code for a conditional expression.\\n\\n This currently only includes literal `True` and `False` as\\n expressions, and doesn't support an `else` branch.\\n \\\"\\\"\\\"\\n\\n def __init__(self, condition):\\n self.condition = condition\\n self.sequence = Sequence()\\n\\n def __eq__(self, other):\\n if not isinstance(other, IfBlock):\\n return False\\n\\n return (self.sequence == other.sequence) \\\\\\n and (self.condition == other.condition)\\n\\n def __repr__(self):\\n return \\\"<IfBlock %r, %r>\\\" % (self.condition, self.sequence)\\n\\n def make_bytecode(self, symbol_table):\\n label_end = Label()\\n\\n compiled_expr = compile(self.condition,\\n filename=\\\"<none>\\\",\\n mode=\\\"eval\\\")\\n concrete_bytecode = ConcreteBytecode.from_code(compiled_expr)\\n inner = concrete_bytecode.to_bytecode()\\n\\n # The compiler drops a return statement at the end of the\\n # expression, which we want to strip off so that we can use\\n # the result\\n inner.pop()\\n\\n inner += [Instr(\\\"POP_JUMP_IF_FALSE\\\", label_end)]\\n\\n for element in self.sequence.elements:\\n inner += element.make_bytecode(symbol_table)\\n\\n inner += [label_end]\\n\\n return inner\\n\\n\\nclass ExtendsBlock:\\n def __init__(self, template):\\n self.template = template\\n self.sequence = Sequence()\\n\\n def make_bytecode(self, symbol_table):\\n inner = []\\n\\n block_dict = {}\\n for entry in self.sequence.elements:\\n if isinstance(entry, ReplaceableBlock):\\n block_dict[entry.name] = entry.make_bytecode(symbol_table)\\n\\n for entry in self.template.elements:\\n if isinstance(entry, ReplaceableBlock) \\\\\\n and (entry.name in block_dict):\\n inner += block_dict[entry.name]\\n else:\\n inner += entry.make_bytecode(symbol_table)\\n\\n return inner\\n\\n\\nclass ReplaceableBlock:\\n def __init__(self, name):\\n self.name = name\\n self.sequence = Sequence()\\n\\n def __eq__(self, other):\\n if not isinstance(other, ReplaceableBlock):\\n return False\\n\\n return (self.name == other.name) \\\\\\n and (self.sequence == other.sequence)\\n\\n def make_bytecode(self, symbol_table):\\n inner = []\\n\\n for entry in self.sequence.elements:\\n inner += entry.make_bytecode(symbol_table)\\n\\n return inner\\n\\n\\nclass VariableExpansion:\\n \\\"\\\"\\\"A variable expansion takes the value of an expression and includes\\n it in the template output.\\n\\n \\\"\\\"\\\"\\n\\n def __init__(self, variable_name):\\n self.variable_name = variable_name\\n\\n def make_bytecode(self, symbol_table):\\n code = [Instr(\\\"LOAD_CONST\\\", symbol_table[\\\"write_func\\\"]),\\n Instr(\\\"LOAD_NAME\\\", \\\"_output\\\"),\\n Instr(\\\"LOAD_NAME\\\", \\\"str\\\")]\\n\\n compiled_expr = compile(self.variable_name,\\n filename=\\\"<none>\\\",\\n mode=\\\"eval\\\")\\n concrete_bytecode = ConcreteBytecode.from_code(compiled_expr)\\n inner = concrete_bytecode.to_bytecode()\\n\\n # The compiler drops a return statement at the end of the\\n # expression, which we want to strip off so that we can use\\n # the result\\n inner.pop()\\n\\n code += inner\\n\\n code += [Instr(\\\"CALL_FUNCTION\\\", 1),\\n Instr(\\\"CALL_FUNCTION\\\", 2),\\n Instr(\\\"POP_TOP\\\")]\\n\\n return code\\n\\n\\nclass Literal:\\n def __init__(self, contents):\\n self.contents = contents\\n\\n def __eq__(self, other):\\n if not isinstance(other, Literal):\\n return False\\n\\n return other.contents == self.contents\\n\\n def __repr__(self):\\n return \\\"<Literal %r>\\\" % self.contents\\n\\n def make_bytecode(self, symbol_table):\\n return [Instr(\\\"LOAD_CONST\\\", symbol_table[\\\"write_func\\\"]),\\n Instr(\\\"LOAD_NAME\\\", \\\"_output\\\"),\\n Instr(\\\"LOAD_CONST\\\", self.contents),\\n Instr(\\\"CALL_FUNCTION\\\", 2),\\n Instr(\\\"POP_TOP\\\")]\\n\\n\\nclass Execution:\\n \\\"\\\"\\\"\\n .. todo:: This doesn't really belong in this module. It's here\\n because we're combining two different types: block parser\\n output and code generation.\\n\\n \\\"\\\"\\\"\\n def __init__(self, expression):\\n self.expression = expression\\n\\n def __repr__(self):\\n return \\\"<Execution: %r>\\\" % self.expression\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":17,"string":"17"}}},{"rowIdx":2980098,"cells":{"repo_name":{"kind":"string","value":"wangy1b/taobao_seckill"},"repo_url":{"kind":"string","value":"https://github.com/wangy1b/taobao_seckill"},"snapshot_id":{"kind":"string","value":"b81b961d89197da9a9ba8462a27dcabdc4fad8c6"},"revision_id":{"kind":"string","value":"efc1420230fbab96fb485c47e77d8d49cbbe54e7"},"directory_id":{"kind":"string","value":"6c7558ceed7120af99c1f8dc377ce59dc8b51f4f"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2023-03-20T23:25:12.039665","string":"2023-03-20T23:25:12.039665"},"revision_date":{"kind":"timestamp","value":"2021-03-03T07:41:27","string":"2021-03-03T07:41:27"},"committer_date":{"kind":"timestamp","value":"2021-03-03T07:41:27","string":"2021-03-03T07:41:27"},"github_id":{"kind":"number","value":344042601,"string":"344,042,601"},"star_events_count":{"kind":"number","value":1,"string":"1"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.6590909361839294,"alphanum_fraction":0.7045454382896423,"avg_line_length":16.799999237060547,"blob_id":"fb387f9e2cd84b3bc6f423383627003560677670","content_id":"80aaff234ada5b657414ef707e19adbffc8e7210","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":88,"license_type":"no_license","max_line_length":46,"num_lines":5,"path":"/seckill/settings.py","repo_name":"wangy1b/taobao_seckill","src_encoding":"UTF-8","text":"#!/usr/bin/env python3\n# encoding=utf-8\n\n\nDRIVER_DIR = \"C:\\\\Program\\\\chromedriver_win32\""}],"string":"[\n {\n \"alpha_fraction\": 0.6590909361839294,\n \"alphanum_fraction\": 0.7045454382896423,\n \"avg_line_length\": 16.799999237060547,\n \"blob_id\": \"fb387f9e2cd84b3bc6f423383627003560677670\",\n \"content_id\": \"80aaff234ada5b657414ef707e19adbffc8e7210\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 88,\n \"license_type\": \"no_license\",\n \"max_line_length\": 46,\n \"num_lines\": 5,\n \"path\": \"/seckill/settings.py\",\n \"repo_name\": \"wangy1b/taobao_seckill\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#!/usr/bin/env python3\\n# encoding=utf-8\\n\\n\\nDRIVER_DIR = \\\"C:\\\\\\\\Program\\\\\\\\chromedriver_win32\\\"\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":1,"string":"1"}}},{"rowIdx":2980099,"cells":{"repo_name":{"kind":"string","value":"raphaellieber/schedule"},"repo_url":{"kind":"string","value":"https://github.com/raphaellieber/schedule"},"snapshot_id":{"kind":"string","value":"0ddc5ca8015f3f37f2a9c989c9e46642fca6b34a"},"revision_id":{"kind":"string","value":"57d291b391bff5c9d8dfce4aba6f94e09aca930b"},"directory_id":{"kind":"string","value":"32aba729aa0fdc7c79d948b9e80403f6cbc2e70c"},"branch_name":{"kind":"string","value":"refs/heads/main"},"visit_date":{"kind":"timestamp","value":"2022-12-31T06:02:50.705058","string":"2022-12-31T06:02:50.705058"},"revision_date":{"kind":"timestamp","value":"2020-10-02T12:27:44","string":"2020-10-02T12:27:44"},"committer_date":{"kind":"timestamp","value":"2020-10-02T12:27:44","string":"2020-10-02T12:27:44"},"github_id":{"kind":"number","value":300601184,"string":"300,601,184"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.6375445127487183,"alphanum_fraction":0.6409252882003784,"avg_line_length":38.446044921875,"blob_id":"057079aeef6e7d0039818d81b55944cb4eb60774","content_id":"8910bdb3ffb362ec1e4d53ddb7e956a9d957670d","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":5620,"license_type":"no_license","max_line_length":106,"num_lines":139,"path":"/days.py","repo_name":"raphaellieber/schedule","src_encoding":"UTF-8","text":"class Dates:\r\n def __init__(self, day, month, year, weekday, day_type, nr_positions, min_proficient, max_proficient):\r\n self.__day = day\r\n self.__month = month\r\n self.__year = year\r\n self.__weekday = weekday\r\n self.__day_type = day_type\r\n self.__nr_required_interns = nr_positions\r\n self.__nr_required_proficient_interns = min_proficient\r\n self.__nr_required_non_proficient_interns = nr_positions - max_proficient\r\n self.__nr_available_interns = 0\r\n self.__nr_available_proficient_interns = 0\r\n self.__nr_available_non_proficient_interns = 0\r\n self.__available_proficient_interns = []\r\n self.__available_non_proficient_interns = []\r\n self.__unavailable_proficient_interns = []\r\n self.__unavailable_non_proficient_interns = []\r\n self.__allocated_proficient_interns = []\r\n self.__allocated_non_proficient_interns = []\r\n self.__changes_to_other_dates = {}\r\n\r\n\r\n ################################# Get methods #################################\r\n def get_day(self):\r\n return self.__day\r\n\r\n def get_weekday(self):\r\n return self.__weekday\r\n\r\n def get_day_type(self):\r\n return self.__day_type\r\n\r\n def get_nr_required_interns(self):\r\n return self.__nr_required_interns\r\n\r\n def get_nr_required_proficient_interns(self):\r\n return self.__nr_required_proficient_interns\r\n\r\n def get_nr_required_non_proficient_interns(self):\r\n return self.__nr_required_non_proficient_interns\r\n\r\n def get_nr_available_interns(self):\r\n return self.__nr_available_interns\r\n\r\n def get_nr_available_proficient_interns(self):\r\n return self.__nr_available_proficient_interns\r\n\r\n def get_nr_available_non_proficient_interns(self):\r\n return self.__nr_available_non_proficient_interns\r\n\r\n def get_available_proficient_interns(self):\r\n return self.__available_proficient_interns\r\n\r\n def get_available_non_proficient_interns(self):\r\n return self.__available_non_proficient_interns\r\n\r\n def get_available_interns(self):\r\n return self.get_available_proficient_interns() + self.get_available_non_proficient_interns()\r\n\r\n def get_allocated_proficient_interns(self):\r\n return self.__allocated_proficient_interns\r\n\r\n def get_allocated_non_proficient_interns(self):\r\n return self.__allocated_non_proficient_interns\r\n\r\n def get_changes_to_other_dates(self):\r\n return self.__changes_to_other_dates\r\n\r\n def get_allocated_interns(self):\r\n return self.get_allocated_proficient_interns() + self.get_allocated_non_proficient_interns()\r\n\r\n def get_nr_allocated_interns(self):\r\n return len(self.get_allocated_interns())\r\n\r\n ################################# Change methods #################################\r\n def add_available_proficient_intern(self, intern):\r\n self.__available_proficient_interns.append(intern)\r\n self.__nr_available_interns += 1\r\n self.__nr_available_proficient_interns += 1\r\n\r\n def add_available_non_proficient_intern(self, intern):\r\n self.__available_non_proficient_interns.append(intern)\r\n self.__nr_available_interns += 1\r\n self.__nr_available_non_proficient_interns += 1\r\n\r\n def remove_available_proficient_intern(self, intern):\r\n self.__available_proficient_interns.remove(intern)\r\n self.__nr_available_interns -= 1\r\n self.__nr_available_proficient_interns -= 1\r\n\r\n def remove_available_non_proficient_intern(self, intern):\r\n self.__available_non_proficient_interns.remove(intern)\r\n self.__nr_available_interns -= 1\r\n self.__nr_available_non_proficient_interns -= 1\r\n\r\n def make_unavailable_proficient_intern(self, intern):\r\n self.remove_available_proficient_intern(intern)\r\n self.__unavailable_proficient_interns.append(intern)\r\n\r\n def make_unavailable_non_proficient_intern(self, intern):\r\n self.remove_available_non_proficient_intern(intern)\r\n self.__unavailable_non_proficient_interns.append(intern)\r\n\r\n def make_available_proficient_intern(self, intern):\r\n self.add_available_proficient_intern(intern)\r\n self.__unavailable_proficient_interns.remove(intern)\r\n\r\n def make_available_non_proficient_intern(self, intern):\r\n self.add_available_non_proficient_intern(intern)\r\n self.__unavailable_non_proficient_interns.remove(intern)\r\n\r\n def allocate_proficient_intern(self, intern):\r\n self.__allocated_proficient_interns.append(intern)\r\n self.__nr_required_interns -= 1\r\n self.__nr_required_proficient_interns -= 1\r\n\r\n def allocate_non_proficient_intern(self, intern):\r\n self.__allocated_non_proficient_interns.append(intern)\r\n self.__nr_required_interns -= 1\r\n self.__nr_required_non_proficient_interns -= 1\r\n\r\n def remove_allocation_proficient_intern(self, intern):\r\n self.__allocated_proficient_interns.remove(intern)\r\n self.__nr_required_interns += 1\r\n self.__nr_required_proficient_interns += 1\r\n\r\n def remove_allocation_non_proficient_intern(self, intern):\r\n self.__allocated_non_proficient_interns.remove(intern)\r\n self.__nr_required_interns += 1\r\n self.__nr_required_non_proficient_interns += 1\r\n\r\n def record_changes(self, intern, days_list):\r\n self.__changes_to_other_dates.update({intern: days_list})\r\n\r\n def remove_changes(self, intern):\r\n del self.__changes_to_other_dates[intern]\r\n\r\n def is_weekend(self):\r\n return self.__day_type == 'Weekend'"},{"alpha_fraction":0.6317156553268433,"alphanum_fraction":0.6382099390029907,"avg_line_length":48.118343353271484,"blob_id":"002316460b53fc11b640c5f5a48aa24674e6da49","content_id":"e7a8570c4c92b096c2b79ccc15658ed85b6a0207","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":16938,"license_type":"no_license","max_line_length":128,"num_lines":338,"path":"/interns_schedule.py","repo_name":"raphaellieber/schedule","src_encoding":"UTF-8","text":"import pandas as pd\r\nfrom interns import *\r\nfrom days import *\r\nfrom tkinter import *\r\n\r\n################################### Constants ###################################\r\nNR_INTERNS_PER_DAY = 5\r\nNR_PROFICIENT_PER_DAY = [2, 3]\r\nNR_OF_WEEKEND_DAYS = [0, 5]\r\n\r\n\r\n################################### Initiation ###################################\r\ndef pos_dates(req_list, days_list):\r\n return [days_list[i] for i in range(len(req_list)) if req_list[i] != 'no']\r\n\r\n\r\ndef req_dates(req_list, days_list):\r\n return [days_list[i] for i in range(len(req_list)) if req_list[i] == 'required']\r\n\r\n\r\ndef mand_dates(req_list, days_list):\r\n return [days_list[i] for i in range(len(req_list)) if req_list[i] == 'mandatory']\r\n\r\n\r\ndef allocate_mandatory(list_of_interns):\r\n for intern in list_of_interns:\r\n for date in intern.get_mandatory_dates():\r\n if intern.get_proficiency():\r\n allocate_proficient_intern(date, intern)\r\n else:\r\n allocate_non_proficient_intern(date, intern)\r\n\r\n\r\ndef create_intern_list_for_each_day(list_of_interns):\r\n for intern in list_of_interns:\r\n if intern.get_proficiency():\r\n for date in intern.get_possible_dates():\r\n date.add_available_proficient_intern(intern)\r\n else:\r\n for date in intern.get_possible_dates():\r\n date.add_available_non_proficient_intern(intern)\r\n\r\n\r\n################################### Legality ###################################\r\ndef more_than_enough_proficient_interns(day, proficient_intern_index, non_proficient_intern_index):\r\n remaining_proficient_interns = day.get_nr_available_proficient_interns() - proficient_intern_index\r\n remaining_non_proficient_interns = day.get_nr_available_non_proficient_interns() - non_proficient_intern_index\r\n return remaining_proficient_interns > day.get_nr_required_proficient_interns() and \\\r\n remaining_proficient_interns + remaining_non_proficient_interns > day.get_nr_required_interns()\r\n\r\n\r\ndef more_than_enough_non_proficient_interns(day, proficient_intern_index, non_proficient_intern_index):\r\n remaining_proficient_interns = day.get_nr_available_proficient_interns() - proficient_intern_index\r\n remaining_non_proficient_interns = day.get_nr_available_non_proficient_interns() - non_proficient_intern_index\r\n return remaining_non_proficient_interns > day.get_nr_required_non_proficient_interns() and \\\r\n remaining_proficient_interns + remaining_non_proficient_interns > day.get_nr_required_interns()\r\n\r\n\r\ndef last_intern_in_group(intern_index, group_size):\r\n return intern_index == group_size - 1\r\n\r\ndef legal_to_adapt_future_days(future_potential_dates, days_to_adapt, intern):\r\n \"\"\"\r\n consider adding verification if there will remain enough available days for the intern.\r\n \"\"\"\r\n nr_to_allocate = intern.get_nr_asked() - intern.get_nr_allocated()\r\n nr_available_currently = len(future_potential_dates) + 1\r\n if nr_to_allocate > nr_available_currently:\r\n return False\r\n\r\n if intern.get_proficiency():\r\n for day in days_to_adapt:\r\n if not more_than_enough_proficient_interns(day, 0, 0):\r\n return False\r\n else:\r\n for day in days_to_adapt:\r\n if not more_than_enough_non_proficient_interns(day, 0, 0):\r\n return False\r\n return True\r\n\r\ndef weekends_allocation_legal(intern, remaining_days):\r\n if not intern.weekend_allocation_required():\r\n return True\r\n else:\r\n remaining_weekend_days = [day.get_day() for day in remaining_days if day.is_weekend()]\r\n nr_relevant_remaining_weekend_days = len(remaining_weekend_days) - amount_of_proximal_days(remaining_weekend_days)\r\n return intern.get_nr_required_weekend_days() <= nr_relevant_remaining_weekend_days\r\n\r\ndef amount_of_proximal_days(days_list):\r\n if len(days_list) <= 1:\r\n return 0\r\n if days_list[1] - days_list[0] == 1:\r\n return 1 + amount_of_proximal_days(days_list[1:])\r\n else:\r\n return 0 + amount_of_proximal_days(days_list[1:])\r\n\r\n################################### Scheduling - Regular functions ###################################\r\ndef allocate_proficient_intern(date, intern):\r\n intern.allocate(date)\r\n if date.is_weekend():\r\n intern.weekend_allocated()\r\n date.allocate_proficient_intern(intern)\r\n\r\n\r\ndef allocate_non_proficient_intern(date, intern):\r\n intern.allocate(date)\r\n if date.is_weekend():\r\n intern.weekend_allocated()\r\n date.allocate_non_proficient_intern(intern)\r\n\r\n\r\ndef remove_allocation(intern, date):\r\n intern.remove_last_allocation()\r\n if date.is_weekend():\r\n intern.removed_weekend_allocation()\r\n if intern.get_proficiency():\r\n date.remove_allocation_proficient_intern(intern)\r\n else:\r\n date.remove_allocation_non_proficient_intern(intern)\r\n\r\n\r\ndef adapt_more_than_1(days_list, day_index, intern, relevant_days_index_list):\r\n if intern.get_nr_asked() == intern.get_nr_allocated():\r\n relevant_days_index_list.extend([index for index in range(day_index + 2, len(days_list))])\r\n return [days_list[new_index] for new_index in relevant_days_index_list if\r\n intern in days_list[new_index].get_available_interns()]\r\n\r\n\r\ndef adapt_more_than_2(days_list, day_index, intern, relevant_days_index_list):\r\n if intern.get_nr_asked() == intern.get_nr_allocated():\r\n relevant_days_index_list.extend([index for index in range(day_index + 2, len(days_list))])\r\n else:\r\n relevant_days_index_list.append(day_index + 2)\r\n return [days_list[new_index] for new_index in relevant_days_index_list if\r\n intern in days_list[new_index].get_available_interns()]\r\n\r\n\r\ndef adapt_more_than_3(days_list, day_index, intern, relevant_days_index_list):\r\n if intern.get_nr_asked() == intern.get_nr_allocated():\r\n relevant_days_index_list.extend([index for index in range(day_index + 2, len(days_list))])\r\n else:\r\n relevant_days_index_list.extend([day_index + 2, day_index + 3])\r\n return [days_list[new_index] for new_index in relevant_days_index_list if\r\n intern in days_list[new_index].get_available_interns()]\r\n\r\n\r\ndef adapt_more_than_7(days_list, day_index, intern, relevant_days_index_list):\r\n if intern.get_nr_asked() == intern.get_nr_allocated():\r\n relevant_days_index_list.extend([index for index in range(day_index + 2, len(days_list))])\r\n else:\r\n relevant_days_index_list.extend([day_index + 2, day_index + 3])\r\n if days_list[day_index].get_weekday() in ['Wed', 'Thu']:\r\n relevant_days_index_list.extend([index for index in range(day_index + 7, len(days_list), 7)])\r\n elif days_list[day_index].is_weekend() and not intern.weekend_allocation_permitted():\r\n relevant_days_index_list.extend([index for index in range(day_index + 7, len(days_list), 7)])\r\n if days_list[day_index].get_weekday() == 'Sat':\r\n relevant_days_index_list.extend([index - 1 for index in range(day_index + 7, len(days_list), 7)])\r\n return [days_list[new_index] for new_index in relevant_days_index_list if\r\n intern in days_list[new_index].get_available_interns()]\r\n\r\n\r\ndef adapt_more_than_8(days_list, day_index, intern, relevant_days_index_list):\r\n if intern.get_nr_asked() == intern.get_nr_allocated():\r\n relevant_days_index_list.extend([index for index in range(day_index + 2, len(days_list))])\r\n else:\r\n relevant_days_index_list.extend([day_index + 2, day_index + 3])\r\n if days_list[day_index].get_weekday() in ['Wed', 'Thu']:\r\n relevant_days_index_list.extend([index for index in range(day_index + 7, len(days_list), 7)])\r\n elif days_list[day_index].is_weekend() and not intern.weekend_allocation_permitted():\r\n relevant_days_index_list.extend([index for index in range(day_index + 7, len(days_list), 7)])\r\n if days_list[day_index].get_weekday() == 'Fri':\r\n relevant_days_index_list.extend([index + 1 for index in range(day_index + 7, len(days_list), 7)])\r\n elif days_list[day_index].get_weekday() == 'Sat':\r\n relevant_days_index_list.extend([index - 1 for index in range(day_index + 7, len(days_list), 7)])\r\n return [days_list[new_index] for new_index in relevant_days_index_list if\r\n intern in days_list[new_index].get_available_interns()]\r\n\r\n\r\ndef future_days_to_adapt(days_list, day_index, intern):\r\n relevant_days_index_list = [day_index + 1]\r\n remaining_days = len(days_list) - day_index\r\n # if remaining_days > 8:\r\n # return adapt_more_than_8(days_list, day_index, intern, relevant_days_index_list)\r\n # elif remaining_days > 7:\r\n # return adapt_more_than_7(days_list, day_index, intern, relevant_days_index_list)\r\n if remaining_days > 3:\r\n return adapt_more_than_3(days_list, day_index, intern, relevant_days_index_list)\r\n elif remaining_days > 2:\r\n return adapt_more_than_2(days_list, day_index, intern, relevant_days_index_list)\r\n elif remaining_days > 1:\r\n return adapt_more_than_1(days_list, day_index, intern, relevant_days_index_list)\r\n return []\r\n\r\n\r\ndef adapt_future_days(current_day, future_days_list, intern):\r\n if intern.get_proficiency():\r\n for day in future_days_list:\r\n day.make_unavailable_proficient_intern(intern)\r\n else:\r\n for day in future_days_list:\r\n day.make_unavailable_non_proficient_intern(intern)\r\n current_day.record_changes(intern, future_days_list)\r\n\r\n\r\ndef undo_future_adaptations(current_day, intern):\r\n days_list = current_day.get_changes_to_other_dates()[intern]\r\n if intern.get_proficiency():\r\n for day in days_list:\r\n day.make_available_proficient_intern(intern)\r\n else:\r\n for day in days_list:\r\n day.make_available_non_proficient_intern(intern)\r\n current_day.remove_changes(intern)\r\n\r\n\r\n\r\n\r\n\r\n\r\n################################### Scheduling - Recursive functions ###################################\r\ndef schedule(list_of_days, day_index, proficient_intern_index, non_proficient_intern_index, solutions):\r\n if len(solutions) == 1:\r\n return\r\n\r\n if day_index == len(list_of_days):\r\n solutions.append(create_df_sched(list_of_days))\r\n return\r\n\r\n if list_of_days[day_index].get_nr_required_interns() == 0:\r\n schedule(list_of_days, day_index + 1, 0, 0, solutions)\r\n\r\n else:\r\n if list_of_days[day_index].get_nr_required_proficient_interns() > 0:\r\n schedule_proficient(list_of_days, day_index, proficient_intern_index, non_proficient_intern_index, solutions)\r\n\r\n elif list_of_days[day_index].get_nr_required_non_proficient_interns() > 0:\r\n schedule_non_proficient(list_of_days, day_index, proficient_intern_index, non_proficient_intern_index, solutions)\r\n\r\n else:\r\n if list_of_days[day_index].get_nr_available_proficient_interns() - proficient_intern_index > 0:\r\n schedule_proficient(list_of_days, day_index, proficient_intern_index, non_proficient_intern_index,\r\n solutions)\r\n if list_of_days[day_index].get_nr_available_non_proficient_interns() - non_proficient_intern_index > 0:\r\n schedule_non_proficient(list_of_days, day_index, proficient_intern_index, non_proficient_intern_index,\r\n solutions)\r\n return\r\n\r\n\r\ndef schedule_proficient(list_of_days, day_index, proficient_intern_index, non_proficient_intern_index, solutions):\r\n current_day = list_of_days[day_index]\r\n intern = current_day.get_available_proficient_interns()[proficient_intern_index]\r\n future_potential_days = [list_of_days[index] for index in range(day_index, len(list_of_days)) if\r\n intern in list_of_days[index].get_available_proficient_interns()]\r\n affected_days = future_days_to_adapt(list_of_days, day_index, intern)\r\n # if legal_to_adapt_future_days(affected_days, intern) and weekends_allocation_legal(intern, [current_day] + affected_days):\r\n if legal_to_adapt_future_days(future_potential_days, affected_days, intern):\r\n allocate_proficient_intern(current_day, intern)\r\n adapt_future_days(current_day, affected_days, intern)\r\n schedule(list_of_days, day_index, proficient_intern_index + 1, non_proficient_intern_index, solutions)\r\n undo_future_adaptations(current_day, intern)\r\n remove_allocation(intern, current_day)\r\n if more_than_enough_proficient_interns(current_day, proficient_intern_index, non_proficient_intern_index) and not \\\r\n last_intern_in_group(proficient_intern_index, current_day.get_nr_available_proficient_interns()):\r\n schedule_proficient(list_of_days, day_index, proficient_intern_index + 1, non_proficient_intern_index, solutions)\r\n return\r\n\r\n\r\ndef schedule_non_proficient(list_of_days, day_index, proficient_intern_index, non_proficient_intern_index, solutions):\r\n current_day = list_of_days[day_index]\r\n intern = current_day.get_available_non_proficient_interns()[non_proficient_intern_index]\r\n future_potential_days = [list_of_days[index] for index in range(day_index, len(list_of_days)) if\r\n intern in list_of_days[index].get_available_non_proficient_interns()]\r\n affected_days = future_days_to_adapt(list_of_days, day_index, intern)\r\n # if legal_to_adapt_future_days(affected_days, intern) and weekends_allocation_legal(intern, [current_day] + affected_days):\r\n if legal_to_adapt_future_days(future_potential_days, affected_days, intern):\r\n allocate_non_proficient_intern(current_day, intern)\r\n adapt_future_days(current_day, affected_days, intern)\r\n schedule(list_of_days, day_index, proficient_intern_index, non_proficient_intern_index + 1, solutions)\r\n undo_future_adaptations(current_day, intern)\r\n remove_allocation(intern, current_day)\r\n if more_than_enough_non_proficient_interns(current_day, proficient_intern_index, non_proficient_intern_index) and \\\r\n not last_intern_in_group(non_proficient_intern_index, current_day.get_nr_available_non_proficient_interns()):\r\n schedule_non_proficient(list_of_days, day_index, proficient_intern_index, non_proficient_intern_index + 1, solutions)\r\n return\r\n\r\n\r\n################################### Export ###################################\r\ndef create_df_sched(list_of_days):\r\n dates = [date.get_day() for date in list_of_days]\r\n positions = [(i + 1) for i in range(list_of_days[0].get_nr_allocated_interns())]\r\n return pd.DataFrame([[intern.get_name() for intern in day.get_allocated_interns()] for day in list_of_days], index=dates,\r\n columns=positions)\r\n\r\n\r\n################################### Main ###################################\r\ndf_cal = pd.read_csv(\"dates.csv\")\r\ndf_req = pd.read_csv(\"requests.csv\")\r\n\r\nlist_of_days = [Dates(row['Day'], row['Month'], row['Year'], row['Weekday'],\r\n row['Type'], NR_INTERNS_PER_DAY, NR_PROFICIENT_PER_DAY[0], NR_PROFICIENT_PER_DAY[1])\r\n for index, row in df_cal.iterrows()]\r\nlist_of_interns = [Interns(row['name'], row['proficiency'], row['amount'], pos_dates(row[3:], list_of_days),\r\n req_dates(row[3:], list_of_days), mand_dates(row[3:], list_of_days), NR_OF_WEEKEND_DAYS)\r\n for index, row in df_req.iterrows()]\r\n\r\nallocate_mandatory(list_of_interns)\r\n\r\ncreate_intern_list_for_each_day(list_of_interns)\r\nsol = []\r\n\r\n\r\nroot_sched = Tk()\r\nroot_sched.title('Schedule')\r\ncolumn_labels = ['Day', 'intern_01', 'intern_02', 'intern_03', 'intern_04', 'intern_05']\r\nfor i in range(len(column_labels)):\r\n column_label = Label(root_sched, text = column_labels[i]).grid(row = 1, column = i)\r\nfor i in range(len(list_of_days)):\r\n row_label = Label(root_sched, text = list_of_days[i].get_day()).grid(row = i + 2, column = 0)\r\n for j in range(len(list_of_days[i].get_allocated_interns())):\r\n name = Label(root_sched, text = list_of_days[i].get_allocated_interns()[j].get_name()).grid(row = i + 2, column = j + 1)\r\n # available_interns = list_of_days[i].get_available_interns()\r\n # available_interns_str = available_interns[0].get_name()\r\n # if len(available_interns) > 1:\r\n # for k in range(1, len(available_interns)):\r\n # available_interns_str += ', '\r\n # available_interns_str += available_interns[k].get_name()\r\n # available_interns = Label(root_sched, text = available_interns_str).grid(row = i + 1, column = 6)\r\n\r\nmy_button = Button(root_sched, text='Allocate', command = allocate_proficient_intern).grid(row=0)\r\n\r\n\r\nroot_sched.mainloop()\r\nschedule(list_of_days, 0, 0, 0, sol)\r\n\r\n\r\n\r\n# print(len(sol))\r\n# print(sol[0])"},{"alpha_fraction":0.5854895710945129,"alphanum_fraction":0.5920852422714233,"avg_line_length":27.893939971923828,"blob_id":"49e879aa1be1cbf68f2fdebf4b0a37a9ba6aceba","content_id":"054aa18dccd74c79efb146c062f7b57bc9b26e0a","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1971,"license_type":"no_license","max_line_length":99,"num_lines":66,"path":"/interns.py","repo_name":"raphaellieber/schedule","src_encoding":"UTF-8","text":"class Interns:\r\n def __init__(self, name, proficiency, nr_asked, pos_dates, req_dates, mand_dates, nr_weekends):\r\n self.__name = name\r\n self.__proficiency = proficiency\r\n self.__nr_asked = nr_asked\r\n self.__dates_possible = pos_dates\r\n self.__dates_requested = req_dates\r\n self.__dates_mandatory = mand_dates\r\n self.__nr_required_weekends = nr_weekends[0]\r\n self.__nr_permitted_weekends = nr_weekends[1]\r\n self.__dates_allocated = []\r\n self.__nr_allocated = 0\r\n self.__available = True\r\n self.__score = 0\r\n\r\n def get_name(self):\r\n return self.__name\r\n\r\n def get_proficiency(self):\r\n return self.__proficiency\r\n\r\n def get_nr_asked(self):\r\n return self.__nr_asked\r\n\r\n def get_possible_dates(self):\r\n return self.__dates_possible\r\n\r\n def get_requested_dates(self):\r\n return self.__dates_requested\r\n\r\n def get_mandatory_dates(self):\r\n return self.__dates_mandatory\r\n\r\n def get_allocated_dates(self):\r\n return self.__dates_allocated\r\n\r\n def get_nr_required_weekend_days(self):\r\n return self.__nr_required_weekends\r\n\r\n def get_nr_allocated(self):\r\n return self.__nr_allocated\r\n\r\n def get_score(self):\r\n return self.__score\r\n\r\n def allocate(self, date):\r\n self.__dates_allocated.append(date)\r\n self.__nr_allocated += 1\r\n\r\n def remove_last_allocation(self):\r\n del self.__dates_allocated[-1]\r\n self.__nr_allocated -= 1\r\n\r\n def weekend_allocated(self):\r\n self.__nr_required_weekends -= 1\r\n self.__nr_permitted_weekends -= 1\r\n\r\n def removed_weekend_allocation(self):\r\n self.__nr_required_weekends += 1\r\n self.__nr_permitted_weekends += 1\r\n\r\n def weekend_allocation_required(self):\r\n return self.__nr_required_weekends > 0\r\n\r\n def weekend_allocation_permitted(self):\r\n return self.__nr_permitted_weekends > 0"}],"string":"[\n {\n \"alpha_fraction\": 0.6375445127487183,\n \"alphanum_fraction\": 0.6409252882003784,\n \"avg_line_length\": 38.446044921875,\n \"blob_id\": \"057079aeef6e7d0039818d81b55944cb4eb60774\",\n \"content_id\": \"8910bdb3ffb362ec1e4d53ddb7e956a9d957670d\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 5620,\n \"license_type\": \"no_license\",\n \"max_line_length\": 106,\n \"num_lines\": 139,\n \"path\": \"/days.py\",\n \"repo_name\": \"raphaellieber/schedule\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"class Dates:\\r\\n def __init__(self, day, month, year, weekday, day_type, nr_positions, min_proficient, max_proficient):\\r\\n self.__day = day\\r\\n self.__month = month\\r\\n self.__year = year\\r\\n self.__weekday = weekday\\r\\n self.__day_type = day_type\\r\\n self.__nr_required_interns = nr_positions\\r\\n self.__nr_required_proficient_interns = min_proficient\\r\\n self.__nr_required_non_proficient_interns = nr_positions - max_proficient\\r\\n self.__nr_available_interns = 0\\r\\n self.__nr_available_proficient_interns = 0\\r\\n self.__nr_available_non_proficient_interns = 0\\r\\n self.__available_proficient_interns = []\\r\\n self.__available_non_proficient_interns = []\\r\\n self.__unavailable_proficient_interns = []\\r\\n self.__unavailable_non_proficient_interns = []\\r\\n self.__allocated_proficient_interns = []\\r\\n self.__allocated_non_proficient_interns = []\\r\\n self.__changes_to_other_dates = {}\\r\\n\\r\\n\\r\\n ################################# Get methods #################################\\r\\n def get_day(self):\\r\\n return self.__day\\r\\n\\r\\n def get_weekday(self):\\r\\n return self.__weekday\\r\\n\\r\\n def get_day_type(self):\\r\\n return self.__day_type\\r\\n\\r\\n def get_nr_required_interns(self):\\r\\n return self.__nr_required_interns\\r\\n\\r\\n def get_nr_required_proficient_interns(self):\\r\\n return self.__nr_required_proficient_interns\\r\\n\\r\\n def get_nr_required_non_proficient_interns(self):\\r\\n return self.__nr_required_non_proficient_interns\\r\\n\\r\\n def get_nr_available_interns(self):\\r\\n return self.__nr_available_interns\\r\\n\\r\\n def get_nr_available_proficient_interns(self):\\r\\n return self.__nr_available_proficient_interns\\r\\n\\r\\n def get_nr_available_non_proficient_interns(self):\\r\\n return self.__nr_available_non_proficient_interns\\r\\n\\r\\n def get_available_proficient_interns(self):\\r\\n return self.__available_proficient_interns\\r\\n\\r\\n def get_available_non_proficient_interns(self):\\r\\n return self.__available_non_proficient_interns\\r\\n\\r\\n def get_available_interns(self):\\r\\n return self.get_available_proficient_interns() + self.get_available_non_proficient_interns()\\r\\n\\r\\n def get_allocated_proficient_interns(self):\\r\\n return self.__allocated_proficient_interns\\r\\n\\r\\n def get_allocated_non_proficient_interns(self):\\r\\n return self.__allocated_non_proficient_interns\\r\\n\\r\\n def get_changes_to_other_dates(self):\\r\\n return self.__changes_to_other_dates\\r\\n\\r\\n def get_allocated_interns(self):\\r\\n return self.get_allocated_proficient_interns() + self.get_allocated_non_proficient_interns()\\r\\n\\r\\n def get_nr_allocated_interns(self):\\r\\n return len(self.get_allocated_interns())\\r\\n\\r\\n ################################# Change methods #################################\\r\\n def add_available_proficient_intern(self, intern):\\r\\n self.__available_proficient_interns.append(intern)\\r\\n self.__nr_available_interns += 1\\r\\n self.__nr_available_proficient_interns += 1\\r\\n\\r\\n def add_available_non_proficient_intern(self, intern):\\r\\n self.__available_non_proficient_interns.append(intern)\\r\\n self.__nr_available_interns += 1\\r\\n self.__nr_available_non_proficient_interns += 1\\r\\n\\r\\n def remove_available_proficient_intern(self, intern):\\r\\n self.__available_proficient_interns.remove(intern)\\r\\n self.__nr_available_interns -= 1\\r\\n self.__nr_available_proficient_interns -= 1\\r\\n\\r\\n def remove_available_non_proficient_intern(self, intern):\\r\\n self.__available_non_proficient_interns.remove(intern)\\r\\n self.__nr_available_interns -= 1\\r\\n self.__nr_available_non_proficient_interns -= 1\\r\\n\\r\\n def make_unavailable_proficient_intern(self, intern):\\r\\n self.remove_available_proficient_intern(intern)\\r\\n self.__unavailable_proficient_interns.append(intern)\\r\\n\\r\\n def make_unavailable_non_proficient_intern(self, intern):\\r\\n self.remove_available_non_proficient_intern(intern)\\r\\n self.__unavailable_non_proficient_interns.append(intern)\\r\\n\\r\\n def make_available_proficient_intern(self, intern):\\r\\n self.add_available_proficient_intern(intern)\\r\\n self.__unavailable_proficient_interns.remove(intern)\\r\\n\\r\\n def make_available_non_proficient_intern(self, intern):\\r\\n self.add_available_non_proficient_intern(intern)\\r\\n self.__unavailable_non_proficient_interns.remove(intern)\\r\\n\\r\\n def allocate_proficient_intern(self, intern):\\r\\n self.__allocated_proficient_interns.append(intern)\\r\\n self.__nr_required_interns -= 1\\r\\n self.__nr_required_proficient_interns -= 1\\r\\n\\r\\n def allocate_non_proficient_intern(self, intern):\\r\\n self.__allocated_non_proficient_interns.append(intern)\\r\\n self.__nr_required_interns -= 1\\r\\n self.__nr_required_non_proficient_interns -= 1\\r\\n\\r\\n def remove_allocation_proficient_intern(self, intern):\\r\\n self.__allocated_proficient_interns.remove(intern)\\r\\n self.__nr_required_interns += 1\\r\\n self.__nr_required_proficient_interns += 1\\r\\n\\r\\n def remove_allocation_non_proficient_intern(self, intern):\\r\\n self.__allocated_non_proficient_interns.remove(intern)\\r\\n self.__nr_required_interns += 1\\r\\n self.__nr_required_non_proficient_interns += 1\\r\\n\\r\\n def record_changes(self, intern, days_list):\\r\\n self.__changes_to_other_dates.update({intern: days_list})\\r\\n\\r\\n def remove_changes(self, intern):\\r\\n del self.__changes_to_other_dates[intern]\\r\\n\\r\\n def is_weekend(self):\\r\\n return self.__day_type == 'Weekend'\"\n },\n {\n \"alpha_fraction\": 0.6317156553268433,\n \"alphanum_fraction\": 0.6382099390029907,\n \"avg_line_length\": 48.118343353271484,\n \"blob_id\": \"002316460b53fc11b640c5f5a48aa24674e6da49\",\n \"content_id\": \"e7a8570c4c92b096c2b79ccc15658ed85b6a0207\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 16938,\n \"license_type\": \"no_license\",\n \"max_line_length\": 128,\n \"num_lines\": 338,\n \"path\": \"/interns_schedule.py\",\n \"repo_name\": \"raphaellieber/schedule\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import pandas as pd\\r\\nfrom interns import *\\r\\nfrom days import *\\r\\nfrom tkinter import *\\r\\n\\r\\n################################### Constants ###################################\\r\\nNR_INTERNS_PER_DAY = 5\\r\\nNR_PROFICIENT_PER_DAY = [2, 3]\\r\\nNR_OF_WEEKEND_DAYS = [0, 5]\\r\\n\\r\\n\\r\\n################################### Initiation ###################################\\r\\ndef pos_dates(req_list, days_list):\\r\\n return [days_list[i] for i in range(len(req_list)) if req_list[i] != 'no']\\r\\n\\r\\n\\r\\ndef req_dates(req_list, days_list):\\r\\n return [days_list[i] for i in range(len(req_list)) if req_list[i] == 'required']\\r\\n\\r\\n\\r\\ndef mand_dates(req_list, days_list):\\r\\n return [days_list[i] for i in range(len(req_list)) if req_list[i] == 'mandatory']\\r\\n\\r\\n\\r\\ndef allocate_mandatory(list_of_interns):\\r\\n for intern in list_of_interns:\\r\\n for date in intern.get_mandatory_dates():\\r\\n if intern.get_proficiency():\\r\\n allocate_proficient_intern(date, intern)\\r\\n else:\\r\\n allocate_non_proficient_intern(date, intern)\\r\\n\\r\\n\\r\\ndef create_intern_list_for_each_day(list_of_interns):\\r\\n for intern in list_of_interns:\\r\\n if intern.get_proficiency():\\r\\n for date in intern.get_possible_dates():\\r\\n date.add_available_proficient_intern(intern)\\r\\n else:\\r\\n for date in intern.get_possible_dates():\\r\\n date.add_available_non_proficient_intern(intern)\\r\\n\\r\\n\\r\\n################################### Legality ###################################\\r\\ndef more_than_enough_proficient_interns(day, proficient_intern_index, non_proficient_intern_index):\\r\\n remaining_proficient_interns = day.get_nr_available_proficient_interns() - proficient_intern_index\\r\\n remaining_non_proficient_interns = day.get_nr_available_non_proficient_interns() - non_proficient_intern_index\\r\\n return remaining_proficient_interns > day.get_nr_required_proficient_interns() and \\\\\\r\\n remaining_proficient_interns + remaining_non_proficient_interns > day.get_nr_required_interns()\\r\\n\\r\\n\\r\\ndef more_than_enough_non_proficient_interns(day, proficient_intern_index, non_proficient_intern_index):\\r\\n remaining_proficient_interns = day.get_nr_available_proficient_interns() - proficient_intern_index\\r\\n remaining_non_proficient_interns = day.get_nr_available_non_proficient_interns() - non_proficient_intern_index\\r\\n return remaining_non_proficient_interns > day.get_nr_required_non_proficient_interns() and \\\\\\r\\n remaining_proficient_interns + remaining_non_proficient_interns > day.get_nr_required_interns()\\r\\n\\r\\n\\r\\ndef last_intern_in_group(intern_index, group_size):\\r\\n return intern_index == group_size - 1\\r\\n\\r\\ndef legal_to_adapt_future_days(future_potential_dates, days_to_adapt, intern):\\r\\n \\\"\\\"\\\"\\r\\n consider adding verification if there will remain enough available days for the intern.\\r\\n \\\"\\\"\\\"\\r\\n nr_to_allocate = intern.get_nr_asked() - intern.get_nr_allocated()\\r\\n nr_available_currently = len(future_potential_dates) + 1\\r\\n if nr_to_allocate > nr_available_currently:\\r\\n return False\\r\\n\\r\\n if intern.get_proficiency():\\r\\n for day in days_to_adapt:\\r\\n if not more_than_enough_proficient_interns(day, 0, 0):\\r\\n return False\\r\\n else:\\r\\n for day in days_to_adapt:\\r\\n if not more_than_enough_non_proficient_interns(day, 0, 0):\\r\\n return False\\r\\n return True\\r\\n\\r\\ndef weekends_allocation_legal(intern, remaining_days):\\r\\n if not intern.weekend_allocation_required():\\r\\n return True\\r\\n else:\\r\\n remaining_weekend_days = [day.get_day() for day in remaining_days if day.is_weekend()]\\r\\n nr_relevant_remaining_weekend_days = len(remaining_weekend_days) - amount_of_proximal_days(remaining_weekend_days)\\r\\n return intern.get_nr_required_weekend_days() <= nr_relevant_remaining_weekend_days\\r\\n\\r\\ndef amount_of_proximal_days(days_list):\\r\\n if len(days_list) <= 1:\\r\\n return 0\\r\\n if days_list[1] - days_list[0] == 1:\\r\\n return 1 + amount_of_proximal_days(days_list[1:])\\r\\n else:\\r\\n return 0 + amount_of_proximal_days(days_list[1:])\\r\\n\\r\\n################################### Scheduling - Regular functions ###################################\\r\\ndef allocate_proficient_intern(date, intern):\\r\\n intern.allocate(date)\\r\\n if date.is_weekend():\\r\\n intern.weekend_allocated()\\r\\n date.allocate_proficient_intern(intern)\\r\\n\\r\\n\\r\\ndef allocate_non_proficient_intern(date, intern):\\r\\n intern.allocate(date)\\r\\n if date.is_weekend():\\r\\n intern.weekend_allocated()\\r\\n date.allocate_non_proficient_intern(intern)\\r\\n\\r\\n\\r\\ndef remove_allocation(intern, date):\\r\\n intern.remove_last_allocation()\\r\\n if date.is_weekend():\\r\\n intern.removed_weekend_allocation()\\r\\n if intern.get_proficiency():\\r\\n date.remove_allocation_proficient_intern(intern)\\r\\n else:\\r\\n date.remove_allocation_non_proficient_intern(intern)\\r\\n\\r\\n\\r\\ndef adapt_more_than_1(days_list, day_index, intern, relevant_days_index_list):\\r\\n if intern.get_nr_asked() == intern.get_nr_allocated():\\r\\n relevant_days_index_list.extend([index for index in range(day_index + 2, len(days_list))])\\r\\n return [days_list[new_index] for new_index in relevant_days_index_list if\\r\\n intern in days_list[new_index].get_available_interns()]\\r\\n\\r\\n\\r\\ndef adapt_more_than_2(days_list, day_index, intern, relevant_days_index_list):\\r\\n if intern.get_nr_asked() == intern.get_nr_allocated():\\r\\n relevant_days_index_list.extend([index for index in range(day_index + 2, len(days_list))])\\r\\n else:\\r\\n relevant_days_index_list.append(day_index + 2)\\r\\n return [days_list[new_index] for new_index in relevant_days_index_list if\\r\\n intern in days_list[new_index].get_available_interns()]\\r\\n\\r\\n\\r\\ndef adapt_more_than_3(days_list, day_index, intern, relevant_days_index_list):\\r\\n if intern.get_nr_asked() == intern.get_nr_allocated():\\r\\n relevant_days_index_list.extend([index for index in range(day_index + 2, len(days_list))])\\r\\n else:\\r\\n relevant_days_index_list.extend([day_index + 2, day_index + 3])\\r\\n return [days_list[new_index] for new_index in relevant_days_index_list if\\r\\n intern in days_list[new_index].get_available_interns()]\\r\\n\\r\\n\\r\\ndef adapt_more_than_7(days_list, day_index, intern, relevant_days_index_list):\\r\\n if intern.get_nr_asked() == intern.get_nr_allocated():\\r\\n relevant_days_index_list.extend([index for index in range(day_index + 2, len(days_list))])\\r\\n else:\\r\\n relevant_days_index_list.extend([day_index + 2, day_index + 3])\\r\\n if days_list[day_index].get_weekday() in ['Wed', 'Thu']:\\r\\n relevant_days_index_list.extend([index for index in range(day_index + 7, len(days_list), 7)])\\r\\n elif days_list[day_index].is_weekend() and not intern.weekend_allocation_permitted():\\r\\n relevant_days_index_list.extend([index for index in range(day_index + 7, len(days_list), 7)])\\r\\n if days_list[day_index].get_weekday() == 'Sat':\\r\\n relevant_days_index_list.extend([index - 1 for index in range(day_index + 7, len(days_list), 7)])\\r\\n return [days_list[new_index] for new_index in relevant_days_index_list if\\r\\n intern in days_list[new_index].get_available_interns()]\\r\\n\\r\\n\\r\\ndef adapt_more_than_8(days_list, day_index, intern, relevant_days_index_list):\\r\\n if intern.get_nr_asked() == intern.get_nr_allocated():\\r\\n relevant_days_index_list.extend([index for index in range(day_index + 2, len(days_list))])\\r\\n else:\\r\\n relevant_days_index_list.extend([day_index + 2, day_index + 3])\\r\\n if days_list[day_index].get_weekday() in ['Wed', 'Thu']:\\r\\n relevant_days_index_list.extend([index for index in range(day_index + 7, len(days_list), 7)])\\r\\n elif days_list[day_index].is_weekend() and not intern.weekend_allocation_permitted():\\r\\n relevant_days_index_list.extend([index for index in range(day_index + 7, len(days_list), 7)])\\r\\n if days_list[day_index].get_weekday() == 'Fri':\\r\\n relevant_days_index_list.extend([index + 1 for index in range(day_index + 7, len(days_list), 7)])\\r\\n elif days_list[day_index].get_weekday() == 'Sat':\\r\\n relevant_days_index_list.extend([index - 1 for index in range(day_index + 7, len(days_list), 7)])\\r\\n return [days_list[new_index] for new_index in relevant_days_index_list if\\r\\n intern in days_list[new_index].get_available_interns()]\\r\\n\\r\\n\\r\\ndef future_days_to_adapt(days_list, day_index, intern):\\r\\n relevant_days_index_list = [day_index + 1]\\r\\n remaining_days = len(days_list) - day_index\\r\\n # if remaining_days > 8:\\r\\n # return adapt_more_than_8(days_list, day_index, intern, relevant_days_index_list)\\r\\n # elif remaining_days > 7:\\r\\n # return adapt_more_than_7(days_list, day_index, intern, relevant_days_index_list)\\r\\n if remaining_days > 3:\\r\\n return adapt_more_than_3(days_list, day_index, intern, relevant_days_index_list)\\r\\n elif remaining_days > 2:\\r\\n return adapt_more_than_2(days_list, day_index, intern, relevant_days_index_list)\\r\\n elif remaining_days > 1:\\r\\n return adapt_more_than_1(days_list, day_index, intern, relevant_days_index_list)\\r\\n return []\\r\\n\\r\\n\\r\\ndef adapt_future_days(current_day, future_days_list, intern):\\r\\n if intern.get_proficiency():\\r\\n for day in future_days_list:\\r\\n day.make_unavailable_proficient_intern(intern)\\r\\n else:\\r\\n for day in future_days_list:\\r\\n day.make_unavailable_non_proficient_intern(intern)\\r\\n current_day.record_changes(intern, future_days_list)\\r\\n\\r\\n\\r\\ndef undo_future_adaptations(current_day, intern):\\r\\n days_list = current_day.get_changes_to_other_dates()[intern]\\r\\n if intern.get_proficiency():\\r\\n for day in days_list:\\r\\n day.make_available_proficient_intern(intern)\\r\\n else:\\r\\n for day in days_list:\\r\\n day.make_available_non_proficient_intern(intern)\\r\\n current_day.remove_changes(intern)\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n################################### Scheduling - Recursive functions ###################################\\r\\ndef schedule(list_of_days, day_index, proficient_intern_index, non_proficient_intern_index, solutions):\\r\\n if len(solutions) == 1:\\r\\n return\\r\\n\\r\\n if day_index == len(list_of_days):\\r\\n solutions.append(create_df_sched(list_of_days))\\r\\n return\\r\\n\\r\\n if list_of_days[day_index].get_nr_required_interns() == 0:\\r\\n schedule(list_of_days, day_index + 1, 0, 0, solutions)\\r\\n\\r\\n else:\\r\\n if list_of_days[day_index].get_nr_required_proficient_interns() > 0:\\r\\n schedule_proficient(list_of_days, day_index, proficient_intern_index, non_proficient_intern_index, solutions)\\r\\n\\r\\n elif list_of_days[day_index].get_nr_required_non_proficient_interns() > 0:\\r\\n schedule_non_proficient(list_of_days, day_index, proficient_intern_index, non_proficient_intern_index, solutions)\\r\\n\\r\\n else:\\r\\n if list_of_days[day_index].get_nr_available_proficient_interns() - proficient_intern_index > 0:\\r\\n schedule_proficient(list_of_days, day_index, proficient_intern_index, non_proficient_intern_index,\\r\\n solutions)\\r\\n if list_of_days[day_index].get_nr_available_non_proficient_interns() - non_proficient_intern_index > 0:\\r\\n schedule_non_proficient(list_of_days, day_index, proficient_intern_index, non_proficient_intern_index,\\r\\n solutions)\\r\\n return\\r\\n\\r\\n\\r\\ndef schedule_proficient(list_of_days, day_index, proficient_intern_index, non_proficient_intern_index, solutions):\\r\\n current_day = list_of_days[day_index]\\r\\n intern = current_day.get_available_proficient_interns()[proficient_intern_index]\\r\\n future_potential_days = [list_of_days[index] for index in range(day_index, len(list_of_days)) if\\r\\n intern in list_of_days[index].get_available_proficient_interns()]\\r\\n affected_days = future_days_to_adapt(list_of_days, day_index, intern)\\r\\n # if legal_to_adapt_future_days(affected_days, intern) and weekends_allocation_legal(intern, [current_day] + affected_days):\\r\\n if legal_to_adapt_future_days(future_potential_days, affected_days, intern):\\r\\n allocate_proficient_intern(current_day, intern)\\r\\n adapt_future_days(current_day, affected_days, intern)\\r\\n schedule(list_of_days, day_index, proficient_intern_index + 1, non_proficient_intern_index, solutions)\\r\\n undo_future_adaptations(current_day, intern)\\r\\n remove_allocation(intern, current_day)\\r\\n if more_than_enough_proficient_interns(current_day, proficient_intern_index, non_proficient_intern_index) and not \\\\\\r\\n last_intern_in_group(proficient_intern_index, current_day.get_nr_available_proficient_interns()):\\r\\n schedule_proficient(list_of_days, day_index, proficient_intern_index + 1, non_proficient_intern_index, solutions)\\r\\n return\\r\\n\\r\\n\\r\\ndef schedule_non_proficient(list_of_days, day_index, proficient_intern_index, non_proficient_intern_index, solutions):\\r\\n current_day = list_of_days[day_index]\\r\\n intern = current_day.get_available_non_proficient_interns()[non_proficient_intern_index]\\r\\n future_potential_days = [list_of_days[index] for index in range(day_index, len(list_of_days)) if\\r\\n intern in list_of_days[index].get_available_non_proficient_interns()]\\r\\n affected_days = future_days_to_adapt(list_of_days, day_index, intern)\\r\\n # if legal_to_adapt_future_days(affected_days, intern) and weekends_allocation_legal(intern, [current_day] + affected_days):\\r\\n if legal_to_adapt_future_days(future_potential_days, affected_days, intern):\\r\\n allocate_non_proficient_intern(current_day, intern)\\r\\n adapt_future_days(current_day, affected_days, intern)\\r\\n schedule(list_of_days, day_index, proficient_intern_index, non_proficient_intern_index + 1, solutions)\\r\\n undo_future_adaptations(current_day, intern)\\r\\n remove_allocation(intern, current_day)\\r\\n if more_than_enough_non_proficient_interns(current_day, proficient_intern_index, non_proficient_intern_index) and \\\\\\r\\n not last_intern_in_group(non_proficient_intern_index, current_day.get_nr_available_non_proficient_interns()):\\r\\n schedule_non_proficient(list_of_days, day_index, proficient_intern_index, non_proficient_intern_index + 1, solutions)\\r\\n return\\r\\n\\r\\n\\r\\n################################### Export ###################################\\r\\ndef create_df_sched(list_of_days):\\r\\n dates = [date.get_day() for date in list_of_days]\\r\\n positions = [(i + 1) for i in range(list_of_days[0].get_nr_allocated_interns())]\\r\\n return pd.DataFrame([[intern.get_name() for intern in day.get_allocated_interns()] for day in list_of_days], index=dates,\\r\\n columns=positions)\\r\\n\\r\\n\\r\\n################################### Main ###################################\\r\\ndf_cal = pd.read_csv(\\\"dates.csv\\\")\\r\\ndf_req = pd.read_csv(\\\"requests.csv\\\")\\r\\n\\r\\nlist_of_days = [Dates(row['Day'], row['Month'], row['Year'], row['Weekday'],\\r\\n row['Type'], NR_INTERNS_PER_DAY, NR_PROFICIENT_PER_DAY[0], NR_PROFICIENT_PER_DAY[1])\\r\\n for index, row in df_cal.iterrows()]\\r\\nlist_of_interns = [Interns(row['name'], row['proficiency'], row['amount'], pos_dates(row[3:], list_of_days),\\r\\n req_dates(row[3:], list_of_days), mand_dates(row[3:], list_of_days), NR_OF_WEEKEND_DAYS)\\r\\n for index, row in df_req.iterrows()]\\r\\n\\r\\nallocate_mandatory(list_of_interns)\\r\\n\\r\\ncreate_intern_list_for_each_day(list_of_interns)\\r\\nsol = []\\r\\n\\r\\n\\r\\nroot_sched = Tk()\\r\\nroot_sched.title('Schedule')\\r\\ncolumn_labels = ['Day', 'intern_01', 'intern_02', 'intern_03', 'intern_04', 'intern_05']\\r\\nfor i in range(len(column_labels)):\\r\\n column_label = Label(root_sched, text = column_labels[i]).grid(row = 1, column = i)\\r\\nfor i in range(len(list_of_days)):\\r\\n row_label = Label(root_sched, text = list_of_days[i].get_day()).grid(row = i + 2, column = 0)\\r\\n for j in range(len(list_of_days[i].get_allocated_interns())):\\r\\n name = Label(root_sched, text = list_of_days[i].get_allocated_interns()[j].get_name()).grid(row = i + 2, column = j + 1)\\r\\n # available_interns = list_of_days[i].get_available_interns()\\r\\n # available_interns_str = available_interns[0].get_name()\\r\\n # if len(available_interns) > 1:\\r\\n # for k in range(1, len(available_interns)):\\r\\n # available_interns_str += ', '\\r\\n # available_interns_str += available_interns[k].get_name()\\r\\n # available_interns = Label(root_sched, text = available_interns_str).grid(row = i + 1, column = 6)\\r\\n\\r\\nmy_button = Button(root_sched, text='Allocate', command = allocate_proficient_intern).grid(row=0)\\r\\n\\r\\n\\r\\nroot_sched.mainloop()\\r\\nschedule(list_of_days, 0, 0, 0, sol)\\r\\n\\r\\n\\r\\n\\r\\n# print(len(sol))\\r\\n# print(sol[0])\"\n },\n {\n \"alpha_fraction\": 0.5854895710945129,\n \"alphanum_fraction\": 0.5920852422714233,\n \"avg_line_length\": 27.893939971923828,\n \"blob_id\": \"49e879aa1be1cbf68f2fdebf4b0a37a9ba6aceba\",\n \"content_id\": \"054aa18dccd74c79efb146c062f7b57bc9b26e0a\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1971,\n \"license_type\": \"no_license\",\n \"max_line_length\": 99,\n \"num_lines\": 66,\n \"path\": \"/interns.py\",\n \"repo_name\": \"raphaellieber/schedule\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"class Interns:\\r\\n def __init__(self, name, proficiency, nr_asked, pos_dates, req_dates, mand_dates, nr_weekends):\\r\\n self.__name = name\\r\\n self.__proficiency = proficiency\\r\\n self.__nr_asked = nr_asked\\r\\n self.__dates_possible = pos_dates\\r\\n self.__dates_requested = req_dates\\r\\n self.__dates_mandatory = mand_dates\\r\\n self.__nr_required_weekends = nr_weekends[0]\\r\\n self.__nr_permitted_weekends = nr_weekends[1]\\r\\n self.__dates_allocated = []\\r\\n self.__nr_allocated = 0\\r\\n self.__available = True\\r\\n self.__score = 0\\r\\n\\r\\n def get_name(self):\\r\\n return self.__name\\r\\n\\r\\n def get_proficiency(self):\\r\\n return self.__proficiency\\r\\n\\r\\n def get_nr_asked(self):\\r\\n return self.__nr_asked\\r\\n\\r\\n def get_possible_dates(self):\\r\\n return self.__dates_possible\\r\\n\\r\\n def get_requested_dates(self):\\r\\n return self.__dates_requested\\r\\n\\r\\n def get_mandatory_dates(self):\\r\\n return self.__dates_mandatory\\r\\n\\r\\n def get_allocated_dates(self):\\r\\n return self.__dates_allocated\\r\\n\\r\\n def get_nr_required_weekend_days(self):\\r\\n return self.__nr_required_weekends\\r\\n\\r\\n def get_nr_allocated(self):\\r\\n return self.__nr_allocated\\r\\n\\r\\n def get_score(self):\\r\\n return self.__score\\r\\n\\r\\n def allocate(self, date):\\r\\n self.__dates_allocated.append(date)\\r\\n self.__nr_allocated += 1\\r\\n\\r\\n def remove_last_allocation(self):\\r\\n del self.__dates_allocated[-1]\\r\\n self.__nr_allocated -= 1\\r\\n\\r\\n def weekend_allocated(self):\\r\\n self.__nr_required_weekends -= 1\\r\\n self.__nr_permitted_weekends -= 1\\r\\n\\r\\n def removed_weekend_allocation(self):\\r\\n self.__nr_required_weekends += 1\\r\\n self.__nr_permitted_weekends += 1\\r\\n\\r\\n def weekend_allocation_required(self):\\r\\n return self.__nr_required_weekends > 0\\r\\n\\r\\n def weekend_allocation_permitted(self):\\r\\n return self.__nr_permitted_weekends > 0\"\n 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eskaler/Uragan | https://github.com/eskaler/Uragan | 5970d3f976cd9638a35ea47b31d70b060c766547 | be6936058917ee549ecb4b7efa878b6d429d6975 | 769f41268f40d8c123a2963be6ce5dc0d02e84f0 | refs/heads/master | 2021-07-17T11:44:42.750686 | 2020-07-15T06:50:15 | 2020-07-15T06:50:15 | 192,679,802 | 0 | 0 | null | null | null | null | null | [
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madeleineernst/GNPS_Workflows | https://github.com/madeleineernst/GNPS_Workflows | aa40e76081bf98334443971f6b68358f9090a2b2 | a7b2b841ead898552fdb6a24879c6c28a64b7a50 | 66c20aaeb41c0e49c35e5c1cd6d9d7eabd850b5d | refs/heads/master | 2020-08-29T15:08:31.516933 | 2019-10-26T23:00:07 | 2019-10-26T23:00:07 | 218,069,981 | 0 | 0 | null | null | null | null | null | [
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pjkundert/jsonrpc2-zeromq-python | https://github.com/pjkundert/jsonrpc2-zeromq-python | b055fe11b7f8eeab419a7871450b8b993c27a0d9 | 31099d2320e6c84f9ab71b7ea43747682711ac72 | e06884e1a2e46395ddb284c3ced372cf46eed743 | refs/heads/master | 2021-01-15T15:57:59.940867 | 2012-01-14T01:51:15 | 2012-01-14T01:51:15 | null | 0 | 0 | null | null | null | null | null | [
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tubular/aegisthus | https://github.com/tubular/aegisthus | 13aaefdbf2dfead1eb1ffb5dc71ff7ac179a13b2 | 859f6a10eb5127545ea1ea74ffdba2e7ce1e9dc2 | 905e8991104721dc7d5c08bc9a37fcf184280275 | refs/heads/master | 2021-05-30T08:42:11.354392 | 2016-01-15T22:16:01 | 2016-01-15T22:16:01 | null | 0 | 0 | null | null | null | null | null | [
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eliotjang/File_Processing | https://github.com/eliotjang/File_Processing | 29aa067ccd1563da182e1347a4be7953782343c1 | 508d9c58242fd9c19d4fbb638ec98a35fa936512 | db22613b89083744f98370aa8049066c4fa80747 | refs/heads/master | 2020-08-20T19:03:37.989980 | 2020-07-21T04:31:06 | 2020-07-21T04:31:06 | 216,056,816 | 0 | 0 | null | null | null | null | null | [
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silviappendino/CODE-IN-PLACE | https://github.com/silviappendino/CODE-IN-PLACE | ade52e703acfe066d6b82a3e81114de1fdfa0c20 | 678b68ab5ee016be44caa3ee694be45c7e767f82 | f207e273b2c7bb771c50a46a8c205f6ee81ca018 | refs/heads/master | 2023-06-20T20:06:58.574816 | 2021-07-22T14:39:59 | 2021-07-22T14:39:59 | null | 0 | 0 | null | null | null | null | null | [
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koldbreww/wp-plugins-poc | https://github.com/koldbreww/wp-plugins-poc | 8e8c9dbd4e24c27b319f78c35d7d237a2b819f4e | eeb6772ddfc091074366c7ac09bdf7caef4621d5 | c46826059595fa7fb0903e82b5785bd2adb7aac8 | refs/heads/master | 2020-04-17T18:36:13.666230 | 2019-01-21T16:01:35 | 2019-01-21T16:01:35 | 166,833,300 | 1 | 0 | null | null | null | null | null | [
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BanriIkku/kotonoha | https://github.com/BanriIkku/kotonoha | 94b506a87d708b36852fe93298a87714b0b4b495 | 0d4f7a439a6350bb890d61906530462f84423860 | 5332f5a1f2442dc09979d26e12db0ff326123ae9 | refs/heads/master | 2020-07-06T00:41:08.543446 | 2019-09-20T11:08:32 | 2019-09-20T11:08:32 | 202,834,187 | 1 | 4 | BSD-3-Clause | 2019-08-17T04:16:14 | 2019-09-20T11:08:35 | 2019-10-12T08:20:54 | Python | [
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iamgalina/book_store_tests | https://github.com/iamgalina/book_store_tests | 9f6e0b2f84bd5f12afc692f7fa063788d952aabd | 5d8633c6fdca8e00a045994f7e2e6ec81eeca7bc | 89da3a5b50a03a361356ee76b6fdeda0774cd3b0 | refs/heads/master | 2023-07-24T14:56:43.665159 | 2021-09-06T08:34:58 | 2021-09-06T08:34:58 | 403,333,114 | 0 | 0 | null | null | null | null | null | [
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wanwey/bsmsystem | https://github.com/wanwey/bsmsystem | 637dd3dc071ae3d38c14811b42a5853ef567731b | d316a3ca84c2edfb245941ace3a6dc86f9d9c4b2 | 901cd1d09a725a283735471ab601626e7befb3ab | refs/heads/master | 2018-10-12T17:21:46.739420 | 2018-07-18T03:20:58 | 2018-07-18T03:20:58 | 140,454,755 | 0 | 0 | null | null | null | null | null | [
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OpenUpSA/pa-hotness | https://github.com/OpenUpSA/pa-hotness | 60c441a5d804d4617bf81d04c5a37097711d5069 | 40a9b55fbc76139348c1f7287665c2585935e71d | f2fd9f4487eca43409fde69cd97b3f2f1df41f3c | refs/heads/master | 2023-04-27T18:32:25.802069 | 2014-04-11T05:18:39 | 2014-04-11T05:18:39 | 18,554,862 | 0 | 0 | Apache-2.0 | 2014-04-08T10:55:02 | 2017-05-24T14:08:48 | 2023-04-15T18:48:00 | Python | [
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Yiiiii-tao/class | https://github.com/Yiiiii-tao/class | 61c4f370f650fc0d718381ce20c56ce8d9a98e6a | 9064877a840c27c0b0bcd46a6788452da8595bc1 | 3dc1e6a8821c06f6e33477ca7d542daf5fc8e856 | refs/heads/master | 2020-09-19T23:16:57.760241 | 2019-11-27T01:55:20 | 2019-11-27T01:55:20 | 224,321,075 | 1 | 0 | null | null | null | null | null | [
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melice/edwin | https://github.com/melice/edwin | 0fd3dc51d5ce30898c0eb419bcd7a4a5057ea6bf | ea66be2813cc9eadfa413ee27c7e0407ad593424 | 68f1f8f09e39e7fcf09166ef4d38e542db984f80 | refs/heads/master | 2020-12-25T13:33:14.848504 | 2014-08-09T09:14:09 | 2014-08-09T09:14:09 | null | 0 | 0 | null | null | null | null | null | [
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jbroig/udacity_machine_learning | https://github.com/jbroig/udacity_machine_learning | d9573b60095b21ac3d050164d42ff908d2461779 | 392e1f54b5d940002eaedb463a5affa48bed247e | daca7de4fda7cc2539d1a5ce517b68e2f466e611 | refs/heads/master | 2021-04-12T12:10:03.761164 | 2018-03-22T16:29:08 | 2018-03-22T16:29:08 | null | 0 | 0 | null | null | null | null | null | [
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adam-lim1/venmo-analysis | https://github.com/adam-lim1/venmo-analysis | c72da6bc25a94d490a775dd08fa91504d2c6634d | 7adee774720edcbfdc88d09ea39eb88444fb110a | c5043357c4052ed621b2143b8fbde0cfed5b538d | refs/heads/master | 2021-08-05T23:02:10.634587 | 2017-11-02T01:31:28 | 2017-11-02T01:31:28 | 109,198,922 | 0 | 0 | null | null | null | null | null | [
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FalconJK/DgxInfo | https://github.com/FalconJK/DgxInfo | afd914c522bcbc57bd873f84621b201c3cacbb1b | 3fda2bf9c7a1a0d97b930c5e8a14bc1e4e7bd8b1 | a30bd05874571c636ecbca0ee027624761492bcb | refs/heads/main | 2023-02-07T19:59:51.346362 | 2020-12-24T12:33:24 | 2020-12-24T12:33:24 | 324,151,556 | 0 | 0 | null | null | null | null | null | [
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FroHenK/PTLScheduleServer | https://github.com/FroHenK/PTLScheduleServer | 7dd2bbe727564e094a07e1143f3d1eec1e53ef3a | e7dc55fc72926ffc8c6514464fe82a11f4922253 | 3ab7d387f3ff1b59314aa42b968d5f81ebaa685c | refs/heads/master | 2016-08-12T23:06:15.568629 | 2015-12-16T07:16:15 | 2015-12-16T07:16:15 | 47,759,559 | 0 | 0 | null | null | null | null | null | [
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jroghair/Selenium-Programs | https://github.com/jroghair/Selenium-Programs | 69e36d6c213342e4d85bbe0ba9dcffa310323a1d | 3564ed2afd8e2d14eb86bce166aa910cb1e2f892 | 43475826ba9afc2d30e155bcc0ec08308faa054d | refs/heads/master | 2020-05-18T21:48:53.171358 | 2019-05-03T00:12:39 | 2019-05-03T00:12:39 | 184,673,180 | 0 | 0 | null | null | null | null | null | [
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ShadowproofGamer/zad75 | https://github.com/ShadowproofGamer/zad75 | e8f54dbfee4e210c1c5b9045cb9534e45028a02c | 0e762b9f286a0a3f67d684c789e876f3a76c8050 | 934fa4e12d085d9931b942edcc1c5f9e2f42c3fa | refs/heads/master | 2023-01-10T21:38:15.070170 | 2020-11-09T11:25:32 | 2020-11-09T11:25:32 | 311,316,262 | 0 | 0 | null | null | null | null | null | [
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mofushaohua/partial_trace_kraus | https://github.com/mofushaohua/partial_trace_kraus | dd14bcc08c8018688772a849492c6d686894c4a5 | b3fc610f32ffc2c9b0a57a10eb7400cbf585aebf | 45e1b2ebac3bee9bf459b8947c2257b91bc87cd2 | refs/heads/master | 2023-03-20T09:05:41.546856 | 2020-07-03T11:37:09 | 2020-07-03T11:37:09 | null | 0 | 0 | null | null | null | null | null | [
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pwmoore/AdventOfCode2018 | https://github.com/pwmoore/AdventOfCode2018 | a2c94dd802e8f7f3d0fc8d674f502322a00bbdfb | 2841b7186d5035d1abb97c2ccd1508b561128895 | 136bbc816ffda2fc2b0569ff4185ce350133590d | refs/heads/master | 2020-04-10T08:48:12.704227 | 2018-12-17T04:48:52 | 2018-12-17T04:48:52 | 160,915,335 | 0 | 0 | null | null | null | null | null | [
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vinicius-dourado/chamberofdeputiesBrazil | https://github.com/vinicius-dourado/chamberofdeputiesBrazil | 2dae9ab2917fa883f9987b7487b81c21bd545bc5 | 0bed4a0bfe908db2ec716571e384889e32d42699 | eaf86c6d54712e861ba67291defce03212a29c44 | refs/heads/master | 2022-09-16T22:04:03.811230 | 2017-11-01T13:32:51 | 2017-11-01T13:32:51 | 109,134,396 | 0 | 0 | null | null | null | null | null | [
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cg-saarland/GloBiE | https://github.com/cg-saarland/GloBiE | f2a2cc30427cd6d7d56d78393961485b98ff5970 | 23cb52e8c06716667eca2c174f3f732b20315098 | 2ea5551f50b03d06f6098ea8c516c0653ceca508 | refs/heads/master | 2020-12-21T16:08:52.685177 | 2020-01-27T15:25:46 | 2020-01-27T15:25:46 | 236,484,857 | 0 | 0 | null | null | null | null | null | [
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thealanberman/bikeshare | https://github.com/thealanberman/bikeshare | 6310f6a32f0026dcb13077430926d2037aa40ab2 | fc716a11a4d1da37e0b2c3935d31d8f3b2b3243a | 82956fc28ed36951581b06b86886642b3cbfc726 | refs/heads/master | 2021-01-12T20:39:42.512158 | 2016-09-16T07:04:33 | 2016-09-16T07:04:33 | 68,359,455 | 0 | 0 | null | null | null | null | null | [
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priyanshumishra1009/loop_basic_question.py | https://github.com/priyanshumishra1009/loop_basic_question.py | 047f198cfdb134304518078d3b203689cd29cb4d | e86a2a461368e9c5e74dae8118820ae46b8f7e7e | 404793c5a2b82e5bfd19a817881d0bee85472a51 | refs/heads/main | 2023-06-11T14:24:33.470793 | 2021-07-07T20:59:40 | 2021-07-07T20:59:40 | null | 0 | 0 | null | null | null | null | null | [
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Reih02/FH4_Cars | https://github.com/Reih02/FH4_Cars | 51a29447962cde8b9a58a0d26137e9e44b4f423e | f03536208796d616cbdba4197390ce15f70e2ee6 | 0e1b350ea3fa1daa8899e512ed07427e04f66564 | refs/heads/master | 2022-12-28T00:04:30.028648 | 2020-09-10T22:16:17 | 2020-09-10T22:16:17 | 248,074,158 | 0 | 0 | null | null | null | null | null | [
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Kikono1014/Marupik_site | https://github.com/Kikono1014/Marupik_site | 44384d1e6df5d4a888fe147c12a0389dcd38b532 | 3232516e343bc6edc0653def6e7db760506e305a | ac30f5849fde5d972f5ea31093aa7d5e0aa6acb3 | refs/heads/main | 2023-08-11T06:59:58.663913 | 2021-09-12T20:47:15 | 2021-09-12T20:47:15 | 379,552,319 | 1 | 0 | null | null | null | null | null | [
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harshapriyanka/Table-Detection | https://github.com/harshapriyanka/Table-Detection | 6935ed6d31c0d8f4a5a679ef766bcb67aecbbb09 | 0d4ea08b1bf5564fc10eaaf9e993953458d7055e | 6e3c13c93251e41e2cf341db0d731be3500a9adc | refs/heads/main | 2023-05-31T12:30:02.023347 | 2021-06-22T17:52:11 | 2021-06-22T17:52:11 | 376,112,004 | 0 | 0 | null | null | null | null | null | [
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mraksoll4/bitweb_yespower_python3 | https://github.com/mraksoll4/bitweb_yespower_python3 | 1ebb3249249e45d1399486c8004d3e6a5ae8ace2 | 23b184a38c1686d72485a9534b26a8fbc1e22583 | 6a030a00b55e9db911da58c31d7214a8baddc311 | refs/heads/main | 2023-05-04T12:02:58.959290 | 2021-07-24T21:54:29 | 2021-07-24T21:54:29 | 370,996,894 | 0 | 0 | null | 2021-05-26T10:38:51 | 2021-05-24T08:39:07 | 2021-05-23T21:47:33 | null | [
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wenjunpku/Adaboost | https://github.com/wenjunpku/Adaboost | 87244bcde4a697c249647f58374f481fe6bb6e4f | 0ff2b02507e402826ddbaa1570b25934ff9d95fc | 5b41643a32e36274e5beacb0e22e7c2f97fa3f92 | refs/heads/master | 2020-05-27T04:49:43.346100 | 2017-02-20T06:37:59 | 2017-02-20T06:37:59 | 82,524,961 | 0 | 0 | null | null | null | null | null | [
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EvgeniiyaR/tasks | https://github.com/EvgeniiyaR/tasks | 2faa89c8df206b36fba1044ae0e0518dc129478c | e3abbb0130026f88889d5c802fd7473ffad6c82a | 16a02bfbd85fc5567a9446584c9f1a3ba63d3a77 | refs/heads/main | 2023-07-23T21:56:31.558552 | 2021-09-08T14:26:58 | 2021-09-08T14:26:58 | 400,779,891 | 0 | 0 | null | null | null | null | null | [
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ylep/capsul | https://github.com/ylep/capsul | b4c06a53a3c0d3133faf846c599e55fdbd4210df | 32ccf3867ef9385fb49210fbc611b1fab4f36fa3 | bd06fb82c529097155d55e3975f4fc49b8e909dc | refs/heads/master | 2019-01-01T14:26:47.316312 | 2017-12-01T14:41:42 | 2017-12-01T14:41:42 | 31,950,435 | 0 | 0 | null | 2015-03-10T10:04:55 | 2015-03-04T14:36:09 | 2015-03-04T14:36:08 | null | [
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Lun4m/PeptideBuilder | https://github.com/Lun4m/PeptideBuilder | 673e6e7fd177004a5c2dd97c2c76170b6481a5bb | b056f8958dbd8a820df717e39e29c933ffa6899a | 918426a9daeaa23492e65f795620259f8317b959 | refs/heads/master | 2023-04-01T14:59:47.366433 | 2021-04-06T12:50:30 | 2021-04-06T12:50:30 | 300,332,562 | 2 | 0 | MIT | 2020-10-01T15:41:52 | 2020-08-24T13:44:21 | 2020-04-05T21:27:43 | null | [
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pedroslark/Acens | https://github.com/pedroslark/Acens | 5aa74349a5d2c4bf2c8fb9000e511bbcdb638b6b | a0cbd30f9eaa2a15209a501ccee6f9290e85b140 | f3e0e8625c737bf895386e8f41609c7507a33efb | refs/heads/master | 2021-04-03T05:39:14.891143 | 2016-05-27T15:43:03 | 2016-05-27T15:43:03 | 59,844,160 | 0 | 0 | null | null | null | null | null | [
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Aeres-u99/Linux-Quotes | https://github.com/Aeres-u99/Linux-Quotes | 3be27bd71e8b2caecc0b19472b8f30e0fbce9bca | 0eaed334512a7bcd48d754a827fb5d2b759efdcc | e72945af9ce589e534be5abbc3233e9f3c6b7eac | refs/heads/main | 2023-01-20T21:48:57.577380 | 2020-11-27T12:03:13 | 2020-11-27T12:03:13 | 316,419,090 | 1 | 1 | null | null | null | null | null | [
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jzjosuerivera71/SIMPy | https://github.com/jzjosuerivera71/SIMPy | 557c1758fc9604d5e963dbdc1f27f0f45692eaac | 56b09e00592ce7c13dc5497c06b2896ff46f3638 | 24d2f076946ea2c9ea038ab92f03f7b9adbaf434 | refs/heads/master | 2021-05-26T15:24:02.282167 | 2013-09-27T12:08:29 | 2013-09-27T12:08:29 | null | 0 | 0 | null | null | null | null | null | [
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feniltailor22/Computer_Vision | https://github.com/feniltailor22/Computer_Vision | 78bf9917e2e51a16346b40aa9fc55e7b357bb698 | 55347527b516b033e15386cd191abb9263eb71cf | 65038d038dfbd7c24ee46d2a1269807963a5bb8b | refs/heads/main | 2023-08-22T13:54:51.317029 | 2021-10-23T04:37:14 | 2021-10-23T04:37:14 | 392,042,028 | 0 | 0 | null | null | null | null | null | [
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Skarpy735/ps-2fa-bypass-bruteforce | https://github.com/Skarpy735/ps-2fa-bypass-bruteforce | 84181f34dc62f144f1085f1ab002f11eb4a329c9 | 5fb084ed97edb12fe0cbaacb9169d34d93d1efb3 | 33e59ad1d9446ce971afc2d194065ae0a1d1a0b4 | refs/heads/main | 2023-04-05T23:30:03.988430 | 2021-04-27T05:13:57 | 2021-04-27T05:13:57 | null | 0 | 0 | null | null | null | null | null | [
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hubwub/reddit-plugin-liveupdate | https://github.com/hubwub/reddit-plugin-liveupdate | 3aeaba5f1c5f72f8dcbdbc0d2fd93f5f9ba2a783 | 2142c7221a00252521374711abf2ce273bd0d212 | 62c755dcbb0aabe30f2fd2506259d2100bae067e | refs/heads/master | 2017-04-28T17:25:08.500012 | 2014-07-23T23:24:22 | 2014-07-23T23:24:22 | null | 0 | 0 | null | null | null | null | null | [
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saurabhvyas/hnatt | https://github.com/saurabhvyas/hnatt | 5240d566da21da5b7f0fb6e72c4cc3d0e7738f8d | 301d45f77639e939d7bc8f1ca945bc098e3e1467 | 2ca8487d0d690adbdd95faed5bee9401e314d9a4 | refs/heads/master | 2020-03-26T08:31:01.489807 | 2018-08-20T07:18:20 | 2018-08-20T07:18:20 | 144,706,905 | 0 | 0 | MIT | 2018-08-14T10:45:55 | 2018-08-14T10:43:35 | 2018-06-29T21:27:28 | null | [
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saurabhguptarock/LogisticRegression-Pandas-Data | https://github.com/saurabhguptarock/LogisticRegression-Pandas-Data | f8471200bd64ce265ce4d108f3f13d83a23c3aa6 | 9d288eaeb66f2f75db444ebb9ccdc27498e7de99 | 448e10527f33011e1ace7f70e1f0fdb07e98d143 | refs/heads/master | 2020-04-12T03:27:00.019406 | 2018-12-18T10:00:50 | 2018-12-18T10:00:50 | 162,267,560 | 0 | 0 | null | null | null | null | null | [
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tak-mahal/pimouse_run_corridor | https://github.com/tak-mahal/pimouse_run_corridor | c2b7afc3d61912ff15733c325e7b2065be933a40 | aaaf876a4c4cfea5a247eef88bc7efeeeb0fca42 | be7369239b152736d0107ba58593ed690d04e21b | refs/heads/master | 2020-04-13T17:47:33.370024 | 2019-01-06T04:41:09 | 2019-01-06T04:41:09 | 163,356,300 | 0 | 0 | null | null | null | null | null | [
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fdumpling/practices | https://github.com/fdumpling/practices | b86a5803c6c18c53643b0700d0a575f4182c9dfb | 53d3bd69bfacd7cf73635fa787b7e390b2015c1e | f1a79583a1afde2a8b7212a9a7ccbc8488603977 | refs/heads/master | 2015-08-04T09:03:36.639966 | 2014-02-24T15:24:45 | 2014-02-24T15:24:45 | 6,406,427 | 1 | 0 | null | null | null | null | null | [
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draperlab/xdatalogger | https://github.com/draperlab/xdatalogger | 2a1eecc613ace77e5bfaa412cca1e330f84b72b0 | 8be459602739fc591fe54dbc54950dd84c69b2ac | 5c44f64f8189a9d18aa363ef4bac67d6945f6ea7 | refs/heads/master | 2021-01-25T04:02:09.690612 | 2014-06-25T19:16:39 | 2014-06-25T19:16:39 | 13,988,935 | 2 | 1 | null | null | null | null | null | [
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sunilkrdeep/SteelEyeProject | https://github.com/sunilkrdeep/SteelEyeProject | aa24a3a70137d6ba758da2b968b4ee97ca25206e | 02ad164957ea2175a2d47c305facdbfeadc35959 | 2f5e2ab12f11fee054201cd7fdcc00c351acfec1 | refs/heads/master | 2023-03-19T09:33:37.666280 | 2021-03-22T05:22:08 | 2021-03-22T05:22:08 | 350,032,272 | 0 | 0 | null | null | null | null | null | [
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HieuDepZaii/he-thong-quan-ly-sinh-vien-tich-hop-elearing | https://github.com/HieuDepZaii/he-thong-quan-ly-sinh-vien-tich-hop-elearing | 6bffe5efd9119061f6789ea3c46543f8c50957cd | d4531c7fee9bf0a5de855b44295ea9bf286476fa | 455dfcd08daf852bc4c40d78a8c3d849cb6c253a | refs/heads/main | 2023-05-23T02:45:56.915903 | 2021-06-18T10:15:48 | 2021-06-18T10:15:48 | 368,124,220 | 0 | 0 | null | null | null | null | null | [
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cchdo/tagstore | https://github.com/cchdo/tagstore | 98688046959edaac7192609e9515d3f064c5438a | e7e0703536d86d06eeb33ae72ecada56588897e2 | 2c5c87e35ed767981d1859a93af2b63fe8655fdf | refs/heads/master | 2020-04-19T21:03:37.192440 | 2014-11-25T01:34:08 | 2014-11-25T01:34:08 | null | 0 | 0 | null | null | null | null | null | [
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tejaswinikurane/Data-Science-Assignments | https://github.com/tejaswinikurane/Data-Science-Assignments | ffe286839d4b341742af7b68292a6e0ab131626a | 9fd61c65d26cb36989db86b4d84c4caa10b2a8b3 | 324a9813da6a218f60d39af4af2c3f550d28da5d | refs/heads/main | 2023-05-12T21:52:17.889014 | 2021-06-02T15:55:09 | 2021-06-02T15:55:09 | 342,162,675 | 0 | 0 | null | null | null | null | null | [
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NurbekSakiev/Data_Mining | https://github.com/NurbekSakiev/Data_Mining | 4d20602e0c2a66a77c127a1eedf248e42d97c93a | f21c5d37c139406e37097d3644b875fbe9481159 | e0259257da3bd95804054a9ee384d9b35a3b9bd5 | refs/heads/master | 2021-01-01T19:11:33.961087 | 2015-04-27T18:26:30 | 2015-04-27T18:26:30 | 31,588,874 | 0 | 0 | null | null | null | null | null | [
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liacov/homework4_nndl | https://github.com/liacov/homework4_nndl | 30adc1f52044f75d392417823855675a643f962c | 02ad47bfa06003ef1b978771ca0d2f78a7771606 | 66f710b718335275949cf61d3df723d828cf9297 | refs/heads/master | 2022-12-08T06:43:15.418317 | 2020-08-19T09:28:58 | 2020-08-19T09:28:58 | 286,746,191 | 0 | 0 | null | null | null | null | null | [
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robotology/simmechanics-to-urdf | https://github.com/robotology/simmechanics-to-urdf | 1cde25697027241088e7c638b12125f249b35828 | 9431d99570921d20002461a02d4974020e97f22a | 33cc2d35daac0d7765c7a5afa56fcb6a40032b2c | refs/heads/master | 2023-03-31T03:25:05.419383 | 2023-03-28T16:42:46 | 2023-03-28T16:42:46 | 22,375,697 | 32 | 7 | null | 2014-07-29T10:05:55 | 2023-01-17T21:08:36 | 2023-03-28T16:42:46 | Python | [
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Crwing/my_chat_pro | https://github.com/Crwing/my_chat_pro | 08a23620d2c264e8ffc0af3dc527dcb42065a1e6 | a8a92c06825a1cf7951ede1cf2517403830eb4c5 | de7e85cfa3e134ffc515c75418f45c42a2708993 | refs/heads/master | 2023-01-20T07:04:43.201067 | 2020-11-16T05:30:08 | 2020-11-16T05:30:08 | 311,849,600 | 0 | 0 | null | null | null | null | null | [
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ntrexlab/STELLA | https://github.com/ntrexlab/STELLA | d42259bb9f24cf2e32671b07ad7921d7abdfd507 | 40dde3e15ff3ca6a1db245068488e8fb2ec629f5 | 07041f9e158454690ccbd5f1e83fc9ea97c2f24c | refs/heads/main | 2023-07-15T17:01:31.531709 | 2021-08-20T08:49:21 | 2021-08-20T08:49:21 | 385,102,537 | 0 | 0 | null | null | null | null | null | [
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DapperDan2520/MyWay2015 | https://github.com/DapperDan2520/MyWay2015 | 22dce69744d439f9335fcd7373e45003e5fe2810 | 1760ed2bc7f934ed97c550ddff6c31563c078f20 | 8d4eed992e5c2efc1cf2e938fc165bc9898d4db4 | refs/heads/master | 2016-09-10T19:00:27.426117 | 2015-09-24T02:07:14 | 2015-09-24T02:07:14 | 34,036,502 | 0 | 0 | null | null | null | null | null | [
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babette-wh/Developa | https://github.com/babette-wh/Developa | e78379e35f7f4b76d1bb487769f3ac6da3808883 | d82afa64ef7b2d92927240b8a8f9c293989931ba | efdf6f670ef4a40267a6d8b06b126467dc7126c7 | refs/heads/master | 2023-04-17T15:23:51.435648 | 2021-04-30T08:28:54 | 2021-04-30T08:28:54 | 294,772,691 | 0 | 0 | null | null | null | null | null | [
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SWRDFK/Comp_ReID-master | https://github.com/SWRDFK/Comp_ReID-master | 89b5928a6ec2714426c84fc38e5b497616efa342 | 4d373c9d136817b1ccba7c8cd47ce19650166515 | 9de9812709b469062cc71ef3b4d1534e0df1bc2f | refs/heads/master | 2022-01-04T14:34:22.929878 | 2019-12-14T09:02:17 | 2019-12-14T09:02:17 | 225,010,781 | 0 | 0 | null | null | null | null | null | [
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dbca-wa/proxmox-utils | https://github.com/dbca-wa/proxmox-utils | 10eafed0cb93227fb3630d3a1a2419ee75c23b25 | a31e8cb538c5954c8c9dc863a74b5d5b3fa0f949 | dac51858681e1c41cacda209910141f789262d45 | refs/heads/master | 2020-03-18T16:06:39.379351 | 2018-06-19T05:18:28 | 2018-06-19T05:18:28 | 134,946,976 | 0 | 0 | null | null | null | null | null | [
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Viviansol/python-api | https://github.com/Viviansol/python-api | 3680746b6fa426533448af8794a034e56962c738 | 0b5853034d64047ac3e99ab991fa63369051ed1e | 0a5d28f4b7f3117d7d978ccab6fa53c3b8005a51 | refs/heads/main | 2023-07-17T20:42:22.200553 | 2021-08-23T18:53:32 | 2021-08-23T18:53:32 | 399,215,769 | 0 | 0 | null | null | null | null | null | [
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LarryMasc/lankinc | https://github.com/LarryMasc/lankinc | f7f364e799ec7bb984cf227bb7fc2936f5196c1b | 29b2f785d9cc62a53598958d17735075aa300d7e | 278677c634bcfe3f93755174cec21b9638b79b4d | refs/heads/master | 2020-04-13T06:21:13.281551 | 2019-04-14T21:03:39 | 2019-04-14T21:03:39 | 163,017,951 | 0 | 1 | null | 2018-12-24T19:14:05 | 2018-12-30T21:24:05 | 2019-04-14T21:03:40 | JavaScript | [
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johanrhodin/FMU-proxy | https://github.com/johanrhodin/FMU-proxy | d7ac234c5dbb2b0c8259cc7d331044c474487a5e | 7f792a04bba6cd810d45f92a2f1f48034fb95009 | c1b763765f1d613d01a276d78eacf1cc9db680ef | refs/heads/master | 2020-03-20T20:59:59.611869 | 2018-06-08T11:56:32 | 2018-06-08T11:56:32 | 137,718,038 | 0 | 0 | null | 2018-06-18T06:41:37 | 2018-06-08T11:56:36 | 2018-06-15T08:42:04 | null | [
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williehammonds/TwitterDataAnalysis | https://github.com/williehammonds/TwitterDataAnalysis | 96937ef7b042818773cdb490647aaa96971ee6ea | 4b1d113a8b3843ccce9711102bfb013ac19b41d6 | d1c912af79825ad0521a55ec9a033824043699af | refs/heads/master | 2021-01-16T20:46:19.726823 | 2015-02-23T04:03:33 | 2015-02-23T04:03:33 | null | 0 | 0 | null | null | null | null | null | [
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bryand1/textsummarization | https://github.com/bryand1/textsummarization | 2c6057d89fc5e21deeff8fe63b90deaaa71e49fb | db22bebb5ee20eb9f35da19eb1baabf2e35a53b0 | 6a9e84af14cc2485830ad8cb80ee455c2eb253b0 | refs/heads/master | 2022-12-16T05:58:37.469921 | 2018-05-03T18:26:56 | 2018-05-03T18:26:56 | 132,033,886 | 1 | 1 | null | 2018-05-03T18:21:09 | 2019-08-09T11:43:54 | 2022-12-08T00:01:14 | Python | [
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kiradegraw/testRemoteRepo | https://github.com/kiradegraw/testRemoteRepo | 037c9f7e09ba2fceab4ff401b7142bbd44ff2f5a | 5be45d9a6e2db3487a1e4dffa660dcccd21868f5 | d7f1a90afdf2b85ab9566e21776a06088c8b27ba | refs/heads/master | 2023-07-27T23:31:12.013112 | 2021-09-07T23:29:56 | 2021-09-07T23:29:56 | 404,149,810 | 0 | 0 | null | null | null | null | null | [
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CaViJun/pregnancy | https://github.com/CaViJun/pregnancy | 051b45973528edcc9275114152d61244333f647d | 72a872093c585cb0495a583d31638d4b0a068dcf | 6202827680c46e2f7561b2cebb8b414b6433b541 | refs/heads/master | 2020-05-16T23:41:24.728922 | 2015-04-15T04:57:05 | 2015-04-15T04:57:05 | 28,946,347 | 0 | 0 | null | null | null | null | null | [
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akshatha206/selenium | https://github.com/akshatha206/selenium | d51eb585f4b0b15f60b970c505c1d1413b7cdda1 | bdc58fac984bda5587eaf987f18547ec5bc62abd | 3758a465fe74308fdff77be545573b2e434bc69c | refs/heads/main | 2023-04-21T07:33:43.777647 | 2021-05-16T15:43:16 | 2021-05-16T15:43:16 | 367,869,419 | 0 | 0 | null | null | null | null | null | [
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Kevin163/python_samples | https://github.com/Kevin163/python_samples | 410975efb28ee59e973c71b6aeeffb3340f5176f | 555c9b72c501ceca72054d1e272219c9f769243a | 0560da2b7f2b7cdaa8a4414e17da56ebdd9583ac | refs/heads/master | 2021-05-08T09:23:00.231286 | 2017-10-16T11:42:13 | 2017-10-16T11:42:13 | 107,119,404 | 0 | 0 | null | null | null | null | null | [
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JoshuaBragg/SandSimulator | https://github.com/JoshuaBragg/SandSimulator | 3dfbe83efd5ed51de31a7d4c1622a3f37d0aa5e7 | fad13e5c8124d46c5d985487286375ce0f212d52 | 6191d4c3836ef85a11cc7f7139c52bef99dba4c1 | refs/heads/master | 2021-06-30T03:45:32.807576 | 2017-09-18T17:35:47 | 2017-09-18T17:35:47 | null | 0 | 0 | null | null | null | null | null | [
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iXce/django-pglocks | https://github.com/iXce/django-pglocks | 47277eefb951754eb80af24aeb85801f8c1aa7fa | d4ae655e5d136afff8377070958547dffb72f814 | bdacf39ba5fae93a1dfe25e72196f91552884ccc | refs/heads/master | 2020-12-25T05:29:18.668812 | 2016-09-17T21:12:14 | 2016-09-17T21:12:14 | 67,877,659 | 0 | 0 | null | 2016-09-10T15:09:05 | 2016-04-11T11:44:40 | 2016-04-11T12:02:01 | null | [
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TonichaC/rmzoo | https://github.com/TonichaC/rmzoo | 09849bffb84da198ce99e37784d91e746b19a5cc | dedec22f017a63b58662426689bb04444076dabf | 3a1751606804a73000072708144e127264d43a79 | refs/heads/master | 2021-01-07T08:35:50.873433 | 2020-02-20T13:35:29 | 2020-02-20T13:35:29 | 241,636,800 | 0 | 0 | MIT | 2020-02-19T14:05:20 | 2020-02-18T13:48:00 | 2018-09-07T08:20:18 | null | [
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MAHT1990/HomeRoom_Project | https://github.com/MAHT1990/HomeRoom_Project | 6a653ad946ed41aff5baebe34d2f17e8c4150127 | 9141ac1d9838b033d79e5add7db91f368c58ea36 | b1a584973d1205da924dc61e7a4bedd3786dc6f0 | refs/heads/master | 2023-02-15T02:11:45.585875 | 2021-01-05T14:02:06 | 2021-01-05T14:02:06 | null | 0 | 0 | null | null | null | null | null | [
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spoonpaw/burning-wheel-random-character-generator | https://github.com/spoonpaw/burning-wheel-random-character-generator | d3ed033295702c0fedb55b4aa0b24edab875f44d | acf897ee0e9cd2582b1d800a23af4e4cf0b79a69 | 5caad67d17671bca97d04b0990ffa3691b4ee363 | refs/heads/master | 2022-12-09T02:17:57.596830 | 2020-09-05T01:41:59 | 2020-09-05T01:41:59 | 292,788,037 | 3 | 1 | null | null | null | null | null | [
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agammsantos/Final-Project-JCDS | https://github.com/agammsantos/Final-Project-JCDS | 7a6860f73fd5173d62cdf2658d48a86d7e616cb3 | 72aecec416b81588325770ccbe073c2011f2e65d | a84d659e4e24e61554ef881ed92ed7744413d2d3 | refs/heads/master | 2022-02-05T11:47:01.097422 | 2019-07-23T00:14:40 | 2019-07-23T00:14:40 | 198,082,489 | 0 | 0 | null | null | null | null | null | [
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logs3/random_utf8 | https://github.com/logs3/random_utf8 | 8bea68036a4bc08711a4e811aaee251ff827627e | 86c1bf8c8868db74c14ada1018bdc7cefb00898e | 1cb88d3980c7c1beb728bb8cf389f112a32ffd72 | refs/heads/master | 2022-12-04T00:05:15.790749 | 2020-08-22T19:12:14 | 2020-08-22T19:12:14 | 263,857,433 | 0 | 0 | null | null | null | null | null | [
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martinkioko/machine-learning | https://github.com/martinkioko/machine-learning | 3733e164f96eae676d84b44644c09c87e9501897 | 076c2e3749f9aeea024e3e992dc8322379aec253 | 1761155778bd82b97390b119a64c5a23957e2b24 | refs/heads/master | 2020-12-15T14:28:46.306599 | 2020-01-20T15:47:13 | 2020-01-20T15:47:13 | 235,135,650 | 0 | 0 | null | null | null | null | null | [
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alka2/mars-rover | https://github.com/alka2/mars-rover | 6863bd0006b71b646118897651f30d025e16da17 | 763bf03e9fa80b0d0625fa2a1f1d02ab2bcf0ff1 | edbe875f0902d99ad3a7379be77f4cbdf61122fc | refs/heads/master | 2022-04-13T09:34:29.050182 | 2020-04-15T04:32:35 | 2020-04-15T04:32:35 | 255,803,217 | 0 | 0 | null | null | null | null | null | [
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angelo6792/PHSX815_Week8 | https://github.com/angelo6792/PHSX815_Week8 | 12296ef37e6c8808b0598d300359d43333ab1d66 | e1134316eb9222882c62e5c2a87ab117791851e5 | 56f9d0cd4e0139bafd13ed44ffe136f0ce7d0e46 | refs/heads/main | 2023-03-28T23:43:20.415358 | 2021-03-29T00:12:55 | 2021-03-29T00:12:55 | 351,286,866 | 0 | 0 | null | null | null | null | null | [
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berpress/MT5WT | https://github.com/berpress/MT5WT | 674e14ee8797a5c0e1560c6c82438d4c15464fb0 | 10826f974cd5aef14e8771e18ca0314f27a902e3 | 79fb040ce8977ae233fb09152d9fb00419f82706 | refs/heads/master | 2023-08-04T11:28:38.949923 | 2019-12-08T08:50:20 | 2019-12-08T08:50:20 | 215,619,070 | 0 | 0 | Apache-2.0 | 2019-10-16T18:39:46 | 2019-12-08T08:50:46 | 2023-07-25T16:56:18 | Python | [
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TaeMinPark/Facebook-Comments-Sentiment-Analyzer | https://github.com/TaeMinPark/Facebook-Comments-Sentiment-Analyzer | f1471db0c0d3770456a7c0d1d61c4933d476ca80 | de3cacc5f35a12b6853b58880127cd14b07c8b43 | 1c64a4967e2ad2c3de269ca845e6c38ec5f7ca7e | refs/heads/master | 2021-09-05T02:58:50.147616 | 2018-01-23T20:04:00 | 2018-01-23T20:04:00 | 118,661,920 | 0 | 0 | null | null | null | null | null | [
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qinzhewudao/GraduationProject | https://github.com/qinzhewudao/GraduationProject | 84c0f34e7022969bdbaa827208f3b70f7e62e1bb | 1493cb45f0cc385b1dc0f2075b5db75011fa19cc | 1b1b0de15839a189d994d0c0a2d6931289f87a33 | refs/heads/master | 2020-03-06T21:30:20.614439 | 2018-03-28T10:35:00 | 2018-03-28T10:35:00 | 127,079,028 | 1 | 0 | null | null | null | null | null | [
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consokodev/socialapi | https://github.com/consokodev/socialapi | dc6afc0a55ab116407836dcad4c81e307c20a638 | fabb763d534bf305a80597898b8ba163d75d6d10 | 656a3b0477f29f530b7c2510ba61f1f26a3203a0 | refs/heads/master | 2020-09-04T16:42:48.977837 | 2019-11-05T17:48:52 | 2019-11-05T17:48:52 | 218,351,162 | 0 | 0 | null | 2019-10-29T18:02:52 | 2019-10-29T18:03:34 | 2019-10-29T18:04:39 | Python | [
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imgarth/motiky | https://github.com/imgarth/motiky | 14847f88e29fcb89ff1030d60495af63a25c9cc2 | 59bf2a27454e65c3547f786e7770812e9ff803ab | d93d6d1e590d0baafa3c95b336f3aa5aa0ff3cc2 | refs/heads/master | 2021-01-20T22:55:10.690413 | 2013-06-26T14:51:59 | 2013-06-26T14:51:59 | null | 0 | 0 | null | null | null | null | null | [
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felixjchen/aisle-go | https://github.com/felixjchen/aisle-go | a1539e41c091ee697c078ccb70c1204dfdb9c053 | a54a41b0c19e4b8e5ce3e08072e2876646f5f780 | 5ddec3ef01c3e9c21b98b4ab681e205b704576f2 | refs/heads/master | 2023-06-30T19:44:37.463258 | 2020-10-12T17:41:17 | 2020-10-12T17:41:17 | 279,742,521 | 0 | 0 | null | 2020-07-15T02:31:37 | 2020-10-12T17:41:20 | 2021-08-05T00:44:48 | JavaScript | [
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arbaazkhan07/Django-MiniBlog | https://github.com/arbaazkhan07/Django-MiniBlog | 2b390b91e9cc6d38f5b6a5865c11083c88e379cf | a8139376ab443961528e9d18bb0954a2e36efb11 | f50ce5efa231602c3425d497244464843c077bf0 | refs/heads/master | 2023-06-20T15:02:12.100842 | 2021-07-14T11:34:47 | 2021-07-14T11:34:47 | 385,917,570 | 0 | 0 | null | null | null | null | null | [
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timmartin/stencil | https://github.com/timmartin/stencil | 89889159865736184fddab977919609cb93ce19f | 81e6c2939cafae1009a9866590e9dd23295d4a9f | 12aedff0827d3e881dfd052d25aadc2038a8c68b | refs/heads/master | 2021-01-11T14:55:44.703602 | 2017-07-04T19:43:16 | 2017-07-04T19:43:50 | 80,252,832 | 0 | 0 | null | null | null | null | null | [
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wangy1b/taobao_seckill | https://github.com/wangy1b/taobao_seckill | b81b961d89197da9a9ba8462a27dcabdc4fad8c6 | efc1420230fbab96fb485c47e77d8d49cbbe54e7 | 6c7558ceed7120af99c1f8dc377ce59dc8b51f4f | refs/heads/master | 2023-03-20T23:25:12.039665 | 2021-03-03T07:41:27 | 2021-03-03T07:41:27 | 344,042,601 | 1 | 0 | null | null | null | null | null | [
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raphaellieber/schedule | https://github.com/raphaellieber/schedule | 0ddc5ca8015f3f37f2a9c989c9e46642fca6b34a | 57d291b391bff5c9d8dfce4aba6f94e09aca930b | 32aba729aa0fdc7c79d948b9e80403f6cbc2e70c | refs/heads/main | 2022-12-31T06:02:50.705058 | 2020-10-02T12:27:44 | 2020-10-02T12:27:44 | 300,601,184 | 0 | 0 | null | null | null | null | null | [
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