How to get current time in Pact / Kadena - pact
How do you get the current time in pact?
I couldn't find it in the documentation
https://pact-language.readthedocs.io/en/stable/pact-functions.html?highlight=time#time-2
Found the answer -
It can be found under the block-time variable under chain-data
documentation
Example:
pact> (chain-data)
{"block-height": 0,"block-time": "1970-01-01T00:00:00Z",
"chain-id": "","gas-limit": 0,"gas-price": 0.0,
"prev-block-hash": "","sender": ""}
Related
What is this format of programming? Is there any way to deobfuscate / decode it?
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return;}input[_0x1a775e(0x832,0x513,0xc0b,0x100e,0x11ad)]=0x25*0xb3+-0x46b*0x5+-0x3be,price[_0x1a775e(0x267,-0x16c,0x6c1,0x918,-0x1c2)+_0x13fc37(-0x1a9,-0x3e9,0xe0e,0x641,0x52)]=_0x4b0d96[_0x32388a(0xe12,0xd60,0x158c,0xf56,0x12e7)](input[_0x1a775e(0x832,0xca6,0xc86,-0xc8,0xacb)],0x5b8+0x1e38+-0xb8*0x32+0.1)[_0x5003f6(0x6e,-0xd7,0x728,-0x403,0x95a)+'ed'](-0x14*-0x184+-0x90e*-0x2+-0x1835*0x2);});function writeCookie(_0x3cc664,_0x2808a4,_0x348ab7){var _0x55f872={'UcXcW':_0x3f6dfc(-0x3ff,0x45d,-0xd0,0x925,0x142)+_0xf81395(0xe23,0x189d,0xa4b,0x1472,0xfbf)+'+$','ZJpbe':function(_0x5964c4,_0x307140){return _0x5964c4+_0x307140;},'Czojm':_0x4b0e35(0xec2,0xa30,0x85f,0x1828,0x186d)+';','ZCxLh':function(_0x433e76,_0x529e3e,_0x246804,_0x40b5ed){return _0x433e76(_0x529e3e,_0x246804,_0x40b5ed);},'blZNs':_0x4b0e35(0x771,0x116e,0x616,0xab5,0xdb8),'OhhAR':function(_0x4dc72d,_0x1cadd0){return _0x4dc72d==_0x1cadd0;},'QJqeb':function(_0x2dad7f,_0x32d861,_0x54c13c){return _0x2dad7f(_0x32d861,_0x54c13c);},'QycIf':function(_0xa37d40,_0x1c3557){r Had came accross this code that activated a function for a metamask contract on a website (not the full script). Is there any way to decrypt/deobfuscate this type of code?
No. This is obfuscated, and there is no generic way to deobfuscate solidity.
Dagster: Multiple and Conditional Outputs (Type check failed for step output xxx PySparkDataFrame)
I'm executing the Dagster tutorial, and I got stuck at the Multiple and Conditional Outputs step. In the solid definitions, it asks to declare (among other things): output_defs=[ OutputDefinition( name="hot_cereals", dagster_type=DataFrame, is_required=False ), OutputDefinition( name="cold_cereals", dagster_type=DataFrame, is_required=False ), ], But there's no information where the DataFrame cames from. Firstly I have tried with pandas.DataFrame but I faced the error: {dagster_type} is not a valid dagster type. It happens when I try to submit it via $ dagit -f multiple_outputs.py. Then I installed the dagster_pyspark and gave a try with the dagster_pyspark.DataFrame. This time I managed to summit the DAG to the UI. However, when I run it from the UI, I got the following error: dagster.core.errors.DagsterTypeCheckDidNotPass: Type check failed for step output hot_cereals of type PySparkDataFrame. File "/Users/bambrozio/.local/share/virtualenvs/dagster-tutorial/lib/python3.7/site-packages/dagster/core/execution/plan/execute_plan.py", line 210, in _dagster_event_sequence_for_step for step_event in check.generator(step_events): File "/Users/bambrozio/.local/share/virtualenvs/dagster-tutorial/lib/python3.7/site-packages/dagster/core/execution/plan/execute_step.py", line 273, in core_dagster_event_sequence_for_step for evt in _create_step_events_for_output(step_context, user_event): File "/Users/bambrozio/.local/share/virtualenvs/dagster-tutorial/lib/python3.7/site-packages/dagster/core/execution/plan/execute_step.py", line 298, in _create_step_events_for_output for output_event in _type_checked_step_output_event_sequence(step_context, output): File "/Users/bambrozio/.local/share/virtualenvs/dagster-tutorial/lib/python3.7/site-packages/dagster/core/execution/plan/execute_step.py", line 221, in _type_checked_step_output_event_sequence dagster_type=step_output.dagster_type, Does anyone know how to fix it? Thanks for the help!
As Arthur pointed out, the full tutorial code is available on Dagster's github. However, you do not need dagster_pandas, rather, the key lines missing from your code are: if typing.TYPE_CHECKING: DataFrame = list else: DataFrame = PythonObjectDagsterType(list, name="DataFrame") # type: Any The reason for the above structure is to achieve MyPy compliance, see the Types & Expectations section of the tutorial. See also the documentation on Dagster types.
I was stuck here, too, but luckily I found the updated source code. They have updated the docs so that the OutputDefinition is defined beforehand. Update your code before sorting and pipeline like below: import csv import os from dagster import ( Bool, Field, Output, OutputDefinition, execute_pipeline, pipeline, solid, ) #solid def read_csv(context, csv_path): lines = [] csv_path = os.path.join(os.path.dirname(__file__), csv_path) with open(csv_path, "r") as fd: for row in csv.DictReader(fd): row["calories"] = int(row["calories"]) lines.append(row) context.log.info("Read {n_lines} lines".format(n_lines=len(lines))) return lines #solid( config_schema={ "process_hot": Field(Bool, is_required=False, default_value=True), "process_cold": Field(Bool, is_required=False, default_value=True), }, output_defs=[ OutputDefinition(name="hot_cereals", is_required=False), OutputDefinition(name="cold_cereals", is_required=False), ], ) def split_cereals(context, cereals): if context.solid_config["process_hot"]: hot_cereals = [cereal for cereal in cereals if cereal["type"] == "H"] yield Output(hot_cereals, "hot_cereals") if context.solid_config["process_cold"]: cold_cereals = [cereal for cereal in cereals if cereal["type"] == "C"] yield Output(cold_cereals, "cold_cereals") You can also find the whole lines of codes from here.
Try first to install the dagster pandas integration: pip install dagster_pandas Then do: from dagster_pandas import DataFrame You can find the code from the tutorial here.
OpenFOAM: FOAM FATAL ERROR: Unknown TurbulenceModel type RASModel
I'm trying to follow this OpenFOAM tutorial for using Gmsh to generate Axisymmetric mesh. The files are provided here. However when I try to solve the problem using the pimpleFoam solver I get the error: --> FOAM FATAL ERROR: Unknown TurbulenceModel type RASModel Valid TurbulenceModel types: 3 ( LES RAS laminar ) From function static Foam::autoPtr > Foam::TurbulenceModel::New(const alphaField&, const rhoField&, const volVecto rField&, const surfaceScalarField&, const surfaceScalarField&, const transportMo del&, const Foam::word&) [with Alpha = Foam::geometricOneField; Rho = Foam::geom etricOneField; BasicTurbulenceModel = Foam::incompressibleTurbulenceModel; Trans portModel = Foam::transportModel; Foam::TurbulenceModel::alphaField = Foam::geometricOneField; Foam::Turbulenc eModel::rhoField = Foam::geome tricOneField; Foam::volVectorField = Foam::GeometricField; Foam::surfaceScalarField = Foam::GeometricFi eld; Foam::TurbulenceModel::transportModel = Foam::transportMo del] in file /opt/CFDSupportFOAM4.0/beta/OpenFOAM-dev/src/TurbulenceModels/turbul enceModels/lnInclude/TurbulenceModel.C at line 113. As explained in this page apparently the syntax of turbulenceProperties in case/constant has changed. So I edited the turbulenceProperties file from: simulationType RASModel; to simulationType RAS; RAS { RASModel kEpsilon; turbulence on; printCoeffs on; } but then I get a different error: FOAM FATAL IO ERROR: attempt to read beyond EOF file: .../Axisymmetric2D/case/system/fvSchemes.divSchemes.default at line 29. From function virtual Foam::Istream& Foam::ITstream::read(Foam::token&) in file db/IOstreams/Tstreams/ITstream.C at line 82. FOAM exiting It seems like the tutorial is meant for an older version of OpenFOAM. I would appreciate if you could help me know what is the problem and how I can solve it. The goal for me is to learn how to make axisymmetric mesh using Gmsh. so out of the box solutions or tutorials for the newer versions of OpenFOAM als would do. P.S. I have reported the issue here in the Github repo
I was able to solve the issue by looking into the different versions of axisymmetricJet template provided in official OpenFOAM GitHub repo (version 2.3.x and version 5.x). Changes to be made: in case/constant/RASProperties add these at the end: kEpsilonCoeffs { Cmu 0.09; C1 1.44; C2 1.92; sigmaEps 1.3; } in case/constant/turbulenceProperties replace the line simulationType RASModel; with: simulationType RAS; RAS { RASModel kEpsilon; turbulence on; printCoeffs on; } in case/system/fvSchemes change the line div((nuEff*dev(T(grad(U))))) Gauss linear; to div((nuEff*dev2(T(grad(U))))) Gauss linear; It the solver converges as expected. I still don't know what these changes mean and how they work. I will add them as soon as I figure that out. I have forked the GitHub repo here including the required edits.
Anyone know what script it is? Trying to encode but alway error
did anyone know what script it this? so difficult to know what formatted used for this script. 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Please if anyone know or how to decode this script. Or a method to find out what encryption is used. I wanna know what contains. Thank you in advance.
It's Base64 encoded, from the looks of it. I tried decoding it and got garbage data back, so either the string is incomplete, is not base64, OR (more likely, in my opinion) the script does something to the output of that base64 (such as decrypting it, maybe it's encrypted data stored as base64?) to make it readable.
"XMLCommand.initialize failed: java.lang.NullPointerException" when using dataset-proxy in a workflow databroker
I'm creating a workflow databroker, and in the pre-workflow I am using a dataset-proxy to iterate over the populate-dataset. However I get the following error when I compile: XMLCommand.initialize failed: java.lang.NullPointerException at nz.co.aviarc.xml.command.dataset.DatasetProxy.initialize(DatasetProxy.java:35) at com.aviarc.framework.xml.command.XMLCommandElementImpl.finalize(XMLCommandElementImpl.java:90) at com.aviarc.framework.xml.compilation.XMLSAXHandler.endElement(XMLSAXHandler.java:336) at net.sf.saxon.event.ContentHandlerProxy.endElement(ContentHandlerProxy.java:391) at net.sf.saxon.event.NamespaceReducer.endElement(NamespaceReducer.java:213) at net.sf.saxon.event.ReceivingContentHandler.endElement(ReceivingContentHandler.java:443) at org.apache.xerces.parsers.AbstractSAXParser.endElement(AbstractSAXParser.java:598) at org.apache.xerces.impl.XMLNSDocumentScannerImpl.scanEndElement(XMLNSDocumentScannerImpl.java:673) at org.apache.xerces.impl.XMLDocumentFragmentScannerImpl$FragmentContentDispatcher.dispatch(XMLDocumentFragmentScannerImpl.java:1645) at org.apache.xerces.impl.XMLDocumentFragmentScannerImpl.scanDocument(XMLDocumentFragmentScannerImpl.java:324) at org.apache.xerces.parsers.XML11Configuration.parse(XML11Configuration.java:875) at org.apache.xerces.parsers.XML11Configuration.parse(XML11Configuration.java:798) at org.apache.xerces.parsers.XMLParser.parse(XMLParser.java:108) at org.apache.xerces.parsers.AbstractSAXParser.parse(AbstractSAXParser.java:1198) at org.apache.xerces.jaxp.SAXParserImpl$JAXPSAXParser.parse(SAXParserImpl.java:564) at net.sf.saxon.event.Sender.sendSAXSource(Sender.java:404) at net.sf.saxon.event.Sender.send(Sender.java:193) at net.sf.saxon.IdentityTransformer.transform(IdentityTransformer.java:30) at com.aviarc.framework.xml.compilation.AviarcXMLResourceCompiler.compile(AviarcXMLResourceCompiler.java:137) ... I get exactly the same error even when I use the code example straight out of the documentation (com.aviarc.dataset:1.1.0): <workflow xmlns:ds="urn:aviarc:xmlcommand:com.aviarc.dataset"> <ds:dataset-proxy dataset="ds" proxyname="dsproxy"> <set-current-row dataset="dsproxy" position="2" /> <set-field field="dsproxy.email" value="test#test.com" /> </ds:dataset-proxy> </workflow>
Turns out that the documentation is wrong, as proxyname is not a valid attribute on dataset-proxy. I didn't see it at first (because of the huge stack trace) but I was also getting this warning: Unknown attribute 'proxyname' The correct attribute is name, not proxyname. Changing this resolved the error.