A-Compiler | A small simple compiler for my programming language | Natural Language Processing library
kandi X-RAY | A-Compiler Summary
kandi X-RAY | A-Compiler Summary
A small simple compiler for my programming language
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Top functions reviewed by kandi - BETA
- Compile compiled code
- Group function declarations into nested lists
- Assemble instructions
- Return a list of compiled function stats
- Compile the expression
- Emit an instruction
- Return an error message
- Returns highlighted lines
- Get start and end positions of text
- Define type arguments
- Define function arguments
- Emits a savevar
- Compile binary shift operand
- Compile binary operand
- Emits the register
- Postfix postfix operations
- Packs an instruction
- Compile the value
- Return a string representing the matched region
- Compiles this variable
- Compiles the pointer pointer
- Define an optional parameter definition
- Parse subexpressions
- Generate the representation of the op_table
- Compile the given objects
- Emits a LoadVar instance
A-Compiler Key Features
A-Compiler Examples and Code Snippets
Community Discussions
Trending Discussions on A-Compiler
QUESTION
I run a Spark Streaming program written in Java to read data from Kafka, but am getting this error, I tried to find out it might be because my version using scala or java is low. I used JDK version 15 and still got this error, can anyone help me to solve this error? Thank you.
This is terminal when i run project :
...ANSWER
Answered 2021-May-31 at 09:34Spark and Scala version mismatch is what causing this. If you use below set of dependencies this problem should be resolved.
One observation I have (which might not be 100% true as well) is if we have spark-core_2.11
(or any spark-xxxx_2.11) but scala-library version is 2.12.X
I always ran into issues. Easy thing to memorize might be like if we have spark-xxxx_2.11
then use scala-library 2.11.X
but not 2.12.X
.
Please fix scala-reflect
and scala-compile
versions also to 2.11.X
QUESTION
Where are the NVCC codes for a specific warning listed?
Looking at other questions like this one gives the answer to use -Xcudafe "--diag_suppress=xxx
to suppress warning "xxx", and links to a list of possible warnings here.
However, when I have the warnings
/usr/include/eigen3/Eigen/src/Core/util/XprHelper.h(94): warning: __host__ annotation is ignored on a function("no_assignment_operator") that is explicitly defaulted on its first declaration
and
/usr/include/eigen3/Eigen/src/Core/util/XprHelper.h(94): warning: __device__ annotation is ignored on a function("no_assignment_operator") that is explicitly defaulted on its first declaration
I do not find that type in the list. Can someone point me to the page where it is, so I can find the code/name of it? I did not find it in the documentation for NVCC.
...ANSWER
Answered 2021-Apr-08 at 02:37Where are the NVCC codes for a specific warning listed?
They are not publicly available. There is no list. There is no straightforward way of doing what you want without some combination of:
- Promoting all warnings to errors and forcing the device front end/compiler to emit error codes not textual messages, and then
- Snooping around in the EDG front end documentation and the files and documented distributed by other compilers which also use the EDG front end to see if you can find a matching code, otherwise
- Dumping strings and snooping around in the cudafe executable to see if you can find the string you are looking for, and then see if you can reverse engineer back to a warning code or enumeration
In short, you really have to want this badly and have time to invest, and even then it might not be possible.
Alternatively, register in the NVIDIA developer program, raise a bug and see if they will help you with the information you need.
QUESTION
What's the Faster XML version that works with Swagger?
...ANSWER
Answered 2021-Mar-25 at 02:27This could work:
With this version of Jackson:
2.4.4
And
QUESTION
I noticed a difference in the output of the following program when run with Java 8 and Java 9.
...ANSWER
Answered 2021-Jan-28 at 13:30The difference seems to be in the implementation of getMethod
API in use which is visible by the stated documentation starting Java-9 :
Within each such subset only the most specific methods are selected. Let method M be a method from a set of methods with same VM signature (return type, name, parameter types). M is most specific if there is no such method N != M from the same set, such that N is more specific than M. N is more specific than M if:
a. N is declared by a class and M is declared by an interface; or
b. N and M are both declared by classes or both by interfaces and N's declaring type is the same as or a subtype of M's declaring type (clearly, if M's and N's declaring types are the same type, then M and N are the same method).
While Java-8 follows up internally with interfaceCandidates.getFirst()
(i.e. the order change matters here), the upgraded version seems to be working on the specific algorithm using res.getMostSpecific()
before returning the method asked for.
QUESTION
I'm trying to merge two docker images.
Here is my Dockerfile
...ANSWER
Answered 2021-Jan-30 at 15:46TL;DR: This file is mounted by the runtime (docs), so it will not be present at the build time. You need to have a couple environment variables in your image or at the container start for the NVIDIA runtime to mount driver libraries inside. Check out the Dockerfile at the end for an example.
To investigate this I ran this command first:
QUESTION
I'm trying to build a scala project with docker Multi-Stage ability.
For starter, this is my dockerfile:
...ANSWER
Answered 2021-Jan-06 at 11:50Like there is a comment on your question it is better to use sbt
as a first citizen build tool for Scala
. Particularly I suggest using the sbt-native-packager in conjunction with the plugins JavaAppPackaging
and DockerPlugin
to create the docker image without a Dockerfile
. There are some tutorials to create it on the web. Basically, you will need something like these lines on your build.sbt
file (example from my project).
QUESTION
i'm trying to write simple data into the table by Apache Iceberg 0.9.1, but error messages show. I want to CRUD data by Hadoop directly. i create a hadooptable , and try to read from the table. after that i try to write data into the table . i prepare a json file including one line. my code have read the json object, and arrange the order of the data, but the final step writing data is always error. i've changed some version of dependency packages , but another error messages are show. Are there something wrong on version of packages. Please help me.
this is my source code:
...ANSWER
Answered 2020-Nov-18 at 13:26Missing org.apache.parquet.hadoop.ColumnChunkPageWriteStore(org.apache.parquet.hadoop.CodecFactory$BytesCompressor,org.apache.parquet.schema.MessageType,org.apache.parquet.bytes.ByteBufferAllocator,int) [java.lang.NoSuchMethodException: org.apache.parquet.hadoop.ColumnChunkPageWriteStore.(org.apache.parquet.hadoop.CodecFactory$BytesCompressor, org.apache.parquet.schema.MessageType, org.apache.parquet.bytes.ByteBufferAllocator, int)]
Means you are using the Constructor of ColumnChunkPageWriteStore, which takes in 4 parameters, of types (org.apache.parquet.hadoop.CodecFactory$BytesCompressor, org.apache.parquet.schema.MessageType, org.apache.parquet.bytes.ByteBufferAllocator, int)
It cant find the constructor you are using. That why NoSuchMethodError
According to https://jar-download.com/artifacts/org.apache.parquet/parquet-hadoop/1.8.1/source-code/org/apache/parquet/hadoop/ColumnChunkPageWriteStore.java , you need 1.8.1 of parquet-hadoop
Change your mvn import to an older version. I looked at 1.8.1 source code and it has the proper constructor you need.
QUESTION
I'm writing into BigTable using JavaHBaseContext bulkput API. This is working fine with below spark and scala version
...ANSWER
Answered 2020-Nov-18 at 01:49Seems the exception has to do with the dependency org.apache.hbase:hbase-spark:2.0.2.3.1.0.0-78
:
java.lang.NoClassDefFoundError: Could not initialize class org.apache.hadoop.hbase.spark.HBaseConnectionCache$ at org.apache.hadoop.hbase.spark.HBaseContext.org$apache$hadoop$hbase$spark$HBaseContext$$hbaseForeachPartition(HBaseContext.scala:488) at org.apache.hadoop.hbase.spark.HBaseContext$$anonfun$bulkPut$1.apply(HBaseContext.scala:225) at org.apache.hadoop.hbase.spark.HBaseContext$$anonfun$bulkPut$1.apply(HBaseContext.scala:225)
From the maven page, we can see it is built with Scala 2.11, which might explain it doesn't work with Dataproc 1.5 which comes with Scala 2.12.
I think you can try Dataproc 1.4 which comes with Spark 2.4 and Scala 2.11.12, and update your app's dependency accordingly.
QUESTION
I am beginner into mongodb and big data systems.
I try to develop a dashboard for an application that I develop locally. Using cubejs and mongodb for BI, by following the following blog :
I install the cubejs by : npm install -g cubejs-cli
After that, I create the backend cubejs project by : cubejs create mongo-tutorial -d mongobi
After moving into the project folder by cd mongo-tutorial
, When I try to generate my schema by cubejs generate -t zips
that give me the following out puts with an error :
ANSWER
Answered 2020-Nov-07 at 16:39It was a bug. We’ve prepared the v0.23.10
release with a fix for it. Please upgrade your Cube.js CLI. Thanks.
QUESTION
I am able to read the data from BigQuery table via spark big query connector from local, but when I deploy this in Google Cloud and running via dataproc, I am getting below exception.If you see the below logs, its able to identify the schema of the table and after that it waited for 8-10 mins and threw the below exception. Can someone help on this?
...ANSWER
Answered 2020-Nov-06 at 05:52For other's,
Here is the big-query dependency I used and its working fine now.
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Install A-Compiler
You can use A-Compiler like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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