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compromise | modest natural-language processing | Natural Language Processing library

 by   spencermountain JavaScript Version: 14.1.1 License: MIT

 by   spencermountain JavaScript Version: 14.1.1 License: MIT

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kandi X-RAY | compromise Summary

compromise is a JavaScript library typically used in Artificial Intelligence, Natural Language Processing applications. compromise has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can install using 'npm i nlp_compromise' or download it from GitHub, npm.
modest natural-language processing
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • compromise has a medium active ecosystem.
  • It has 10192 star(s) with 649 fork(s). There are 175 watchers for this library.
  • There were 3 major release(s) in the last 12 months.
  • There are 99 open issues and 482 have been closed. On average issues are closed in 90 days. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of compromise is 14.1.1
compromise Support
Best in #Natural Language Processing
Average in #Natural Language Processing
compromise Support
Best in #Natural Language Processing
Average in #Natural Language Processing

quality kandi Quality

  • compromise has 0 bugs and 0 code smells.
compromise Quality
Best in #Natural Language Processing
Average in #Natural Language Processing
compromise Quality
Best in #Natural Language Processing
Average in #Natural Language Processing

securitySecurity

  • compromise has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • compromise code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
compromise Security
Best in #Natural Language Processing
Average in #Natural Language Processing
compromise Security
Best in #Natural Language Processing
Average in #Natural Language Processing

license License

  • compromise is licensed under the MIT License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
compromise License
Best in #Natural Language Processing
Average in #Natural Language Processing
compromise License
Best in #Natural Language Processing
Average in #Natural Language Processing

buildReuse

  • compromise releases are available to install and integrate.
  • Deployable package is available in npm.
  • Installation instructions are not available. Examples and code snippets are available.
  • It has 756 lines of code, 0 functions and 704 files.
  • It has low code complexity. Code complexity directly impacts maintainability of the code.
compromise Reuse
Best in #Natural Language Processing
Average in #Natural Language Processing
compromise Reuse
Best in #Natural Language Processing
Average in #Natural Language Processing
Top functions reviewed by kandi - BETA

kandi has reviewed compromise and discovered the below as its top functions. This is intended to give you an instant insight into compromise implemented functionality, and help decide if they suit your requirements.

  • Merge plugin objects
    • Merge plugin plugins
      • Detect if client side side .
        • Parse the first time .
          • Snapchat prototype .
            • Check if the response is a number .
              • Object .
                • Checks if the argument is an object .
                  • Pad a string
                    • Get the time suffix

                      Get all kandi verified functions for this library.

                      Get all kandi verified functions for this library.

                      compromise Key Features

                      modest natural-language processing

                      .match():

                      copy iconCopydownload iconDownload
                      let doc = nlp(entireNovel)
                      doc.match('the #Adjective of times').text()
                      // "the blurst of times?"
                      

                      .verbs():

                      copy iconCopydownload iconDownload
                      let doc = nlp('she sells seashells by the seashore.')
                      doc.verbs().toPastTense()
                      doc.text()
                      // 'she sold seashells by the seashore.'
                      

                      .nouns():

                      copy iconCopydownload iconDownload
                      let doc = nlp('the purple dinosaur')
                      doc.nouns().toPlural()
                      doc.text()
                      // 'the purple dinosaurs'
                      

                      .numbers():

                      copy iconCopydownload iconDownload
                      nlp.extend(require('compromise-numbers'))
                      
                      let doc = nlp('ninety five thousand and fifty two')
                      doc.numbers().add(2)
                      doc.text()
                      // 'ninety five thousand and fifty four'
                      

                      .topics():

                      copy iconCopydownload iconDownload
                      let doc = nlp(buddyHolly)
                      doc.people().if('mary').json()
                      // [{text:'Mary Tyler Moore'}]
                      
                      let doc = nlp(freshPrince)
                      doc.places().first().text()
                      // 'West Phillidelphia'
                      
                      doc = nlp('the opera about richard nixon visiting china')
                      doc.topics().json()
                      // [
                      //   { text: 'richard nixon' },
                      //   { text: 'china' }
                      // ]
                      

                      .contractions():

                      copy iconCopydownload iconDownload
                      let doc = nlp("we're not gonna take it, no we ain't gonna take it.")
                      
                      // match an implicit term
                      doc.has('going') // true
                      
                      // transform
                      doc.contractions().expand()
                      dox.text()
                      // 'we are not going to take it, no we are not going to take it.'
                      

                      .extend():

                      copy iconCopydownload iconDownload
                      let myWords = {
                        kermit: 'FirstName',
                        fozzie: 'FirstName',
                      }
                      let doc = nlp(muppetText, myWords)
                      

                      Typescript

                      copy iconCopydownload iconDownload
                      import nlp from 'compromise'
                      import ngrams from 'compromise-ngrams'
                      import numbers from 'compromise-numbers'
                      
                      const nlpEx = nlp.extend(ngrams).extend(numbers)
                      
                      nlpEx('This is type safe!').ngrams({ min: 1 })
                      nlpEx('This is type safe!').numbers()
                      

                      Partial-builds

                      copy iconCopydownload iconDownload
                      <script src="https://unpkg.com/compromise/builds/compromise-tokenize.js"></script>
                      <script>
                        var doc = nlp('No, my son is also named Bort.')
                      
                        //you can see the text has no tags
                        console.log(doc.has('#Noun')) //false
                      
                        //the rest of the api still works
                        console.log(doc.has('my .* is .? named /^b[oa]rt/')) //true
                      </script>
                      

                      Decide which member function to call by ternary operator

                      copy iconCopydownload iconDownload
                      struct X {
                          void foo() {}
                          void bar() {}
                      };
                      
                      int main() {
                          X thisThing;
                          bool b = false;
                          (thisThing.*(b ? &X::foo : &X::bar))();
                      }
                      
                       int& x = a ? c : d;   // cannot be done with if/else
                      
                      struct X {
                          void foo() {}
                          void bar() {}
                      };
                      
                      int main() {
                          X thisThing;
                          bool b = false;
                          (thisThing.*(b ? &X::foo : &X::bar))();
                      }
                      
                       int& x = a ? c : d;   // cannot be done with if/else
                      
                      thisThing.foo_or_bar(b, myStuff);
                      
                      ThingClass::foo_or_bar(bool b, SomeType myStuff)
                      {
                        if (b)
                          foo(myStuff);
                        else
                          bar(myStuff);
                      }
                      
                      thisThing.foo_or_bar(b, myStuff);
                      
                      ThingClass::foo_or_bar(bool b, SomeType myStuff)
                      {
                        if (b)
                          foo(myStuff);
                        else
                          bar(myStuff);
                      }
                      
                      struct X {
                          void foo() {}
                          void bar() {}
                      };
                      
                      int main() {
                          X thisThing;
                          bool b = false;
                          std::invoke(b ? &X::foo : &X::bar, thisThing);
                      }
                      

                      firebase security rules , how deny permission after change password

                      copy iconCopydownload iconDownload
                      service cloud.firestore {
                        match /databases/{database}/documents {
                          // Make sure the uid of the requesting user matches name of the user
                          // document. The wildcard expression {userId} makes the userId variable
                          // available in rules.
                          match /users/{userId} {
                            allow read, write: if request.auth != null && request.auth.uid == userId;
                          }
                        }
                      }
                      

                      Customize Spring Boot launch script

                      copy iconCopydownload iconDownload
                      #!/usr/bin/env sh
                      
                      printf "%s\n" "Running some initialization steps..."
                      # ...
                      
                      # This is the shell script generated by the Spring Boot "distribution" (Gradle) task
                      exec /path/to/application "$@"
                      

                      Memory efficient way to use sapply() in R

                      copy iconCopydownload iconDownload
                      f1 <- function(x, l) {
                          n <- ncol(x)
                          FUN <- function(i) .colSums(x[i, , drop = FALSE], length(i), n)
                          vapply(l, FUN, double(n), USE.NAMES = FALSE)
                      }
                      
                      sig <- c(x = "double", l = "list")
                      bod <- '
                      double *px = REAL(x);
                      R_xlen_t nx = XLENGTH(x);
                      int *d = INTEGER(getAttrib(x, R_DimSymbol));
                      int m = d[0];
                      int n = d[1];
                      R_xlen_t N = XLENGTH(l);
                      
                      SEXP res = PROTECT(allocMatrix(REALSXP, n, N));
                      double *pres = REAL(res);
                      
                      SEXP index;
                      R_xlen_t nindex;
                      int *pindex;
                      double sum;
                      
                      for (R_xlen_t i = 0, rpos = 0; i < N; ++i)
                      {
                          index = VECTOR_ELT(l, i);
                          nindex = XLENGTH(index);
                          pindex = INTEGER(index);
                          for (R_xlen_t xpos = 0; xpos < nx; xpos += m, ++rpos)
                          {
                              sum = 0.0;
                              for (R_xlen_t k = 0; k < nindex; ++k)
                              {
                                  sum += px[xpos + pindex[k] - 1];
                              }
                              pres[rpos] = sum;
                          }
                      }
                      UNPROTECT(1);
                      return res;
                      '
                      f2 <- inline::cfunction(sig, bod, language = "C")
                      
                      set.seed(1L)
                      m <- 300L
                      n <- 10L
                      x <- matrix(rnorm(m * n), m, n)
                      l <- replicate(2e+04, sample(m, size = 200L, replace = TRUE), simplify = FALSE)
                      identical(f1(x, l), f2(x, l))
                      ## [1] TRUE
                      
                      gc(FALSE)
                      Rprof("f.out", interval = 1e-05, memory.profiling = TRUE)
                      f1(x, l)
                      f2(x, l)
                      Rprof(NULL)
                      summaryRprof("f.out", memory = "both")[["by.total"]][c("\"f1\"", "\"f2\""), c("total.time", "mem.total")]
                      
                           total.time mem.total
                      "f1"      0.119     344.4
                      "f2"      0.001       1.5
                      
                      f1 <- function(x, l) {
                          n <- ncol(x)
                          FUN <- function(i) .colSums(x[i, , drop = FALSE], length(i), n)
                          vapply(l, FUN, double(n), USE.NAMES = FALSE)
                      }
                      
                      sig <- c(x = "double", l = "list")
                      bod <- '
                      double *px = REAL(x);
                      R_xlen_t nx = XLENGTH(x);
                      int *d = INTEGER(getAttrib(x, R_DimSymbol));
                      int m = d[0];
                      int n = d[1];
                      R_xlen_t N = XLENGTH(l);
                      
                      SEXP res = PROTECT(allocMatrix(REALSXP, n, N));
                      double *pres = REAL(res);
                      
                      SEXP index;
                      R_xlen_t nindex;
                      int *pindex;
                      double sum;
                      
                      for (R_xlen_t i = 0, rpos = 0; i < N; ++i)
                      {
                          index = VECTOR_ELT(l, i);
                          nindex = XLENGTH(index);
                          pindex = INTEGER(index);
                          for (R_xlen_t xpos = 0; xpos < nx; xpos += m, ++rpos)
                          {
                              sum = 0.0;
                              for (R_xlen_t k = 0; k < nindex; ++k)
                              {
                                  sum += px[xpos + pindex[k] - 1];
                              }
                              pres[rpos] = sum;
                          }
                      }
                      UNPROTECT(1);
                      return res;
                      '
                      f2 <- inline::cfunction(sig, bod, language = "C")
                      
                      set.seed(1L)
                      m <- 300L
                      n <- 10L
                      x <- matrix(rnorm(m * n), m, n)
                      l <- replicate(2e+04, sample(m, size = 200L, replace = TRUE), simplify = FALSE)
                      identical(f1(x, l), f2(x, l))
                      ## [1] TRUE
                      
                      gc(FALSE)
                      Rprof("f.out", interval = 1e-05, memory.profiling = TRUE)
                      f1(x, l)
                      f2(x, l)
                      Rprof(NULL)
                      summaryRprof("f.out", memory = "both")[["by.total"]][c("\"f1\"", "\"f2\""), c("total.time", "mem.total")]
                      
                           total.time mem.total
                      "f1"      0.119     344.4
                      "f2"      0.001       1.5
                      
                      f1 <- function(x, l) {
                          n <- ncol(x)
                          FUN <- function(i) .colSums(x[i, , drop = FALSE], length(i), n)
                          vapply(l, FUN, double(n), USE.NAMES = FALSE)
                      }
                      
                      sig <- c(x = "double", l = "list")
                      bod <- '
                      double *px = REAL(x);
                      R_xlen_t nx = XLENGTH(x);
                      int *d = INTEGER(getAttrib(x, R_DimSymbol));
                      int m = d[0];
                      int n = d[1];
                      R_xlen_t N = XLENGTH(l);
                      
                      SEXP res = PROTECT(allocMatrix(REALSXP, n, N));
                      double *pres = REAL(res);
                      
                      SEXP index;
                      R_xlen_t nindex;
                      int *pindex;
                      double sum;
                      
                      for (R_xlen_t i = 0, rpos = 0; i < N; ++i)
                      {
                          index = VECTOR_ELT(l, i);
                          nindex = XLENGTH(index);
                          pindex = INTEGER(index);
                          for (R_xlen_t xpos = 0; xpos < nx; xpos += m, ++rpos)
                          {
                              sum = 0.0;
                              for (R_xlen_t k = 0; k < nindex; ++k)
                              {
                                  sum += px[xpos + pindex[k] - 1];
                              }
                              pres[rpos] = sum;
                          }
                      }
                      UNPROTECT(1);
                      return res;
                      '
                      f2 <- inline::cfunction(sig, bod, language = "C")
                      
                      set.seed(1L)
                      m <- 300L
                      n <- 10L
                      x <- matrix(rnorm(m * n), m, n)
                      l <- replicate(2e+04, sample(m, size = 200L, replace = TRUE), simplify = FALSE)
                      identical(f1(x, l), f2(x, l))
                      ## [1] TRUE
                      
                      gc(FALSE)
                      Rprof("f.out", interval = 1e-05, memory.profiling = TRUE)
                      f1(x, l)
                      f2(x, l)
                      Rprof(NULL)
                      summaryRprof("f.out", memory = "both")[["by.total"]][c("\"f1\"", "\"f2\""), c("total.time", "mem.total")]
                      
                           total.time mem.total
                      "f1"      0.119     344.4
                      "f2"      0.001       1.5
                      
                      f1 <- function(x, l) {
                          n <- ncol(x)
                          FUN <- function(i) .colSums(x[i, , drop = FALSE], length(i), n)
                          vapply(l, FUN, double(n), USE.NAMES = FALSE)
                      }
                      
                      sig <- c(x = "double", l = "list")
                      bod <- '
                      double *px = REAL(x);
                      R_xlen_t nx = XLENGTH(x);
                      int *d = INTEGER(getAttrib(x, R_DimSymbol));
                      int m = d[0];
                      int n = d[1];
                      R_xlen_t N = XLENGTH(l);
                      
                      SEXP res = PROTECT(allocMatrix(REALSXP, n, N));
                      double *pres = REAL(res);
                      
                      SEXP index;
                      R_xlen_t nindex;
                      int *pindex;
                      double sum;
                      
                      for (R_xlen_t i = 0, rpos = 0; i < N; ++i)
                      {
                          index = VECTOR_ELT(l, i);
                          nindex = XLENGTH(index);
                          pindex = INTEGER(index);
                          for (R_xlen_t xpos = 0; xpos < nx; xpos += m, ++rpos)
                          {
                              sum = 0.0;
                              for (R_xlen_t k = 0; k < nindex; ++k)
                              {
                                  sum += px[xpos + pindex[k] - 1];
                              }
                              pres[rpos] = sum;
                          }
                      }
                      UNPROTECT(1);
                      return res;
                      '
                      f2 <- inline::cfunction(sig, bod, language = "C")
                      
                      set.seed(1L)
                      m <- 300L
                      n <- 10L
                      x <- matrix(rnorm(m * n), m, n)
                      l <- replicate(2e+04, sample(m, size = 200L, replace = TRUE), simplify = FALSE)
                      identical(f1(x, l), f2(x, l))
                      ## [1] TRUE
                      
                      gc(FALSE)
                      Rprof("f.out", interval = 1e-05, memory.profiling = TRUE)
                      f1(x, l)
                      f2(x, l)
                      Rprof(NULL)
                      summaryRprof("f.out", memory = "both")[["by.total"]][c("\"f1\"", "\"f2\""), c("total.time", "mem.total")]
                      
                           total.time mem.total
                      "f1"      0.119     344.4
                      "f2"      0.001       1.5
                      
                      f1 <- function(x, l) {
                          n <- ncol(x)
                          FUN <- function(i) .colSums(x[i, , drop = FALSE], length(i), n)
                          vapply(l, FUN, double(n), USE.NAMES = FALSE)
                      }
                      
                      sig <- c(x = "double", l = "list")
                      bod <- '
                      double *px = REAL(x);
                      R_xlen_t nx = XLENGTH(x);
                      int *d = INTEGER(getAttrib(x, R_DimSymbol));
                      int m = d[0];
                      int n = d[1];
                      R_xlen_t N = XLENGTH(l);
                      
                      SEXP res = PROTECT(allocMatrix(REALSXP, n, N));
                      double *pres = REAL(res);
                      
                      SEXP index;
                      R_xlen_t nindex;
                      int *pindex;
                      double sum;
                      
                      for (R_xlen_t i = 0, rpos = 0; i < N; ++i)
                      {
                          index = VECTOR_ELT(l, i);
                          nindex = XLENGTH(index);
                          pindex = INTEGER(index);
                          for (R_xlen_t xpos = 0; xpos < nx; xpos += m, ++rpos)
                          {
                              sum = 0.0;
                              for (R_xlen_t k = 0; k < nindex; ++k)
                              {
                                  sum += px[xpos + pindex[k] - 1];
                              }
                              pres[rpos] = sum;
                          }
                      }
                      UNPROTECT(1);
                      return res;
                      '
                      f2 <- inline::cfunction(sig, bod, language = "C")
                      
                      set.seed(1L)
                      m <- 300L
                      n <- 10L
                      x <- matrix(rnorm(m * n), m, n)
                      l <- replicate(2e+04, sample(m, size = 200L, replace = TRUE), simplify = FALSE)
                      identical(f1(x, l), f2(x, l))
                      ## [1] TRUE
                      
                      gc(FALSE)
                      Rprof("f.out", interval = 1e-05, memory.profiling = TRUE)
                      f1(x, l)
                      f2(x, l)
                      Rprof(NULL)
                      summaryRprof("f.out", memory = "both")[["by.total"]][c("\"f1\"", "\"f2\""), c("total.time", "mem.total")]
                      
                           total.time mem.total
                      "f1"      0.119     344.4
                      "f2"      0.001       1.5
                      

                      Is there a way to combine statements if &amp; as in python?

                      copy iconCopydownload iconDownload
                      if (error := possible_error()):
                          return error
                      

                      Why set the stop flag using `memory_order_seq_cst`, if you check it with `memory_order_relaxed`?

                      copy iconCopydownload iconDownload
                      launch_workers()
                      stop = true;  // not relaxed
                      join_workers()';
                      
                      stop.store(true); // ordering irrelevant, but uses SC
                      stop.store(true, memory_order_seq_cst); // store requires SC ordering (which is rare)
                      
                      launch_workers()
                      stop = true;  // not relaxed
                      join_workers()';
                      
                      stop.store(true); // ordering irrelevant, but uses SC
                      stop.store(true, memory_order_seq_cst); // store requires SC ordering (which is rare)
                      

                      Can NPM show me the age of packages before installing them?

                      copy iconCopydownload iconDownload
                      npm audit
                      
                      npx security-project vulnerabilities
                      
                      
                      scripts: {
                        vulnerability: npx security-project vulnerabilities
                        preinstall: npx security-project vulnerabilities
                      
                        or
                      
                        preinstall: "sh ./checkVulnerabilities.sh" // this script can take package name through command line flags like --package axios
                      }
                      
                      npm audit
                      
                      npx security-project vulnerabilities
                      
                      
                      scripts: {
                        vulnerability: npx security-project vulnerabilities
                        preinstall: npx security-project vulnerabilities
                      
                        or
                      
                        preinstall: "sh ./checkVulnerabilities.sh" // this script can take package name through command line flags like --package axios
                      }
                      
                      npm i --ignore-scripts
                      npm list --depth=100 | awk '{ print $NF }'| tail -n +2 | grep -v "deduped" |  xargs -I {}  bash -c "npm view {} time.modified _id|tr '\n' ' ' && echo "|sort
                      
                      docker run -v $PWD/package.json:/a/package.json -v $PWD/package-lock.json:/a/package-lock.json --rm -it node:lts-buster bash
                      
                      cd a && npm i
                      npm list --depth=100 | awk '{ print $NF }'| tail -n +2 | grep -v "deduped" |  xargs -I {}  bash -c "npm view {} time.modified _id|tr '\n' ' ' && echo "|sort
                      
                      npm i --ignore-scripts
                      npm list --depth=100 | awk '{ print $NF }'| tail -n +2 | grep -v "deduped" |  xargs -I {}  bash -c "npm view {} time.modified _id|tr '\n' ' ' && echo "|sort
                      
                      docker run -v $PWD/package.json:/a/package.json -v $PWD/package-lock.json:/a/package-lock.json --rm -it node:lts-buster bash
                      
                      cd a && npm i
                      npm list --depth=100 | awk '{ print $NF }'| tail -n +2 | grep -v "deduped" |  xargs -I {}  bash -c "npm view {} time.modified _id|tr '\n' ' ' && echo "|sort
                      

                      Is generating unique ID from template template parameters UB?

                      copy iconCopydownload iconDownload
                      template<class Type> struct typeAlias { using AliasedType = Type; };
                      template<class Type> using AliasType = typename typeAlias<Type>::AliasedType;
                      
                      template<typename T>
                      struct S {};
                      struct W1 { template<typename A> using type = S<AliasType<A>>; };
                      struct W2 { template<typename A> using type = S<AliasType<A>>; };
                      

                      How can I get notified when money has been sent to a particular Bitcoin address on a local regtest network?

                      copy iconCopydownload iconDownload
                      docker run -p 18444:19000 -d ulamlabs/bitcoind-custom-regtest:latest
                      
                      docker exec -it 0aa2e863cd9927 bash
                      
                      peerbloomfilters=1
                      
                      docker exec -it 0aa2e863cd9927 bitcoin-cli -regtest getnewaddress
                      
                      2N23tWAFEtBtTgxNjBNmnwzsiPdLcNek181
                      
                      docker exec -it 0aa2e863cd9927 bitcoin-cli -regtest generatetoaddress 101 2N23tWAFEtBtTgxNjBNmnwzsiPdLcNek181 
                      
                      import java.io.File;
                      
                      import org.bitcoinj.core.Address;
                      import org.bitcoinj.core.NetworkParameters;
                      import org.bitcoinj.kits.WalletAppKit;
                      import org.bitcoinj.params.RegTestParams;
                      
                      public class Kit {
                      
                        public static void main(String[] args) {
                          Kit kit  = new Kit();
                          kit.run();
                        }
                      
                        private synchronized void run(){
                          NetworkParameters params = RegTestParams.get();
                          WalletAppKit kit = new WalletAppKit(params, new File("."), "walletappkit-example");
                          kit.connectToLocalHost();
                      
                          kit.startAsync();
                          kit.awaitRunning();
                      
                          kit.wallet().addWatchedAddress(Address.fromString(params, "2N23tWAFEtBtTgxNjBNmnwzsiPdLcNek181"));
                      
                          kit.wallet().addCoinsReceivedEventListener((wallet, tx, prevBalance, newBalance) -> {
                            System.out.println("-----> coins resceived: " + tx.getTxId());
                          });
                      
                          while (true) {
                            try {
                              this.wait(2000);
                            } catch (InterruptedException e) {
                              e.printStackTrace();
                            }
                          }
                        }
                      }
                      
                      docker exec -it 0aa2e863cd9927 bitcoin-cli -regtest sendtoaddress 2N23tWAFEtBtTgxNjBNmnwzsiPdLcNek181 0.00001
                      0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26
                      
                      2021-11-09 23:51:20.537 INFO  [NioClientManager][Wallet] Received a pending transaction 0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26 that spends 0.00 BTC from our own wallet, and sends us 0.00001 BTC
                      2021-11-09 23:51:20.537 INFO  [NioClientManager][Wallet] commitTx of 0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26
                      ...
                      2021-11-09 23:51:20.537 INFO  [NioClientManager][Wallet] ->pending: 0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26
                      2021-11-09 23:51:20.537 INFO  [NioClientManager][Wallet] Estimated balance is now: 0.00001 BTC
                      -----> coins resceived: 0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26
                      2021-11-09 23:51:20.538 INFO  [NioClientManager][WalletFiles] Saving wallet; last seen block is height 165, date 2021-11-09T22:50:48Z, hash 23451521947bc5ff098c088ae0fc445becca8837d39ee8f6dd88f2c47ad5ac23
                      2021-11-09 23:51:20.543 INFO  [NioClientManager][WalletFiles] Save completed in 4.736 ms
                      
                      docker run -p 18444:19000 -d ulamlabs/bitcoind-custom-regtest:latest
                      
                      docker exec -it 0aa2e863cd9927 bash
                      
                      peerbloomfilters=1
                      
                      docker exec -it 0aa2e863cd9927 bitcoin-cli -regtest getnewaddress
                      
                      2N23tWAFEtBtTgxNjBNmnwzsiPdLcNek181
                      
                      docker exec -it 0aa2e863cd9927 bitcoin-cli -regtest generatetoaddress 101 2N23tWAFEtBtTgxNjBNmnwzsiPdLcNek181 
                      
                      import java.io.File;
                      
                      import org.bitcoinj.core.Address;
                      import org.bitcoinj.core.NetworkParameters;
                      import org.bitcoinj.kits.WalletAppKit;
                      import org.bitcoinj.params.RegTestParams;
                      
                      public class Kit {
                      
                        public static void main(String[] args) {
                          Kit kit  = new Kit();
                          kit.run();
                        }
                      
                        private synchronized void run(){
                          NetworkParameters params = RegTestParams.get();
                          WalletAppKit kit = new WalletAppKit(params, new File("."), "walletappkit-example");
                          kit.connectToLocalHost();
                      
                          kit.startAsync();
                          kit.awaitRunning();
                      
                          kit.wallet().addWatchedAddress(Address.fromString(params, "2N23tWAFEtBtTgxNjBNmnwzsiPdLcNek181"));
                      
                          kit.wallet().addCoinsReceivedEventListener((wallet, tx, prevBalance, newBalance) -> {
                            System.out.println("-----> coins resceived: " + tx.getTxId());
                          });
                      
                          while (true) {
                            try {
                              this.wait(2000);
                            } catch (InterruptedException e) {
                              e.printStackTrace();
                            }
                          }
                        }
                      }
                      
                      docker exec -it 0aa2e863cd9927 bitcoin-cli -regtest sendtoaddress 2N23tWAFEtBtTgxNjBNmnwzsiPdLcNek181 0.00001
                      0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26
                      
                      2021-11-09 23:51:20.537 INFO  [NioClientManager][Wallet] Received a pending transaction 0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26 that spends 0.00 BTC from our own wallet, and sends us 0.00001 BTC
                      2021-11-09 23:51:20.537 INFO  [NioClientManager][Wallet] commitTx of 0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26
                      ...
                      2021-11-09 23:51:20.537 INFO  [NioClientManager][Wallet] ->pending: 0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26
                      2021-11-09 23:51:20.537 INFO  [NioClientManager][Wallet] Estimated balance is now: 0.00001 BTC
                      -----> coins resceived: 0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26
                      2021-11-09 23:51:20.538 INFO  [NioClientManager][WalletFiles] Saving wallet; last seen block is height 165, date 2021-11-09T22:50:48Z, hash 23451521947bc5ff098c088ae0fc445becca8837d39ee8f6dd88f2c47ad5ac23
                      2021-11-09 23:51:20.543 INFO  [NioClientManager][WalletFiles] Save completed in 4.736 ms
                      
                      docker run -p 18444:19000 -d ulamlabs/bitcoind-custom-regtest:latest
                      
                      docker exec -it 0aa2e863cd9927 bash
                      
                      peerbloomfilters=1
                      
                      docker exec -it 0aa2e863cd9927 bitcoin-cli -regtest getnewaddress
                      
                      2N23tWAFEtBtTgxNjBNmnwzsiPdLcNek181
                      
                      docker exec -it 0aa2e863cd9927 bitcoin-cli -regtest generatetoaddress 101 2N23tWAFEtBtTgxNjBNmnwzsiPdLcNek181 
                      
                      import java.io.File;
                      
                      import org.bitcoinj.core.Address;
                      import org.bitcoinj.core.NetworkParameters;
                      import org.bitcoinj.kits.WalletAppKit;
                      import org.bitcoinj.params.RegTestParams;
                      
                      public class Kit {
                      
                        public static void main(String[] args) {
                          Kit kit  = new Kit();
                          kit.run();
                        }
                      
                        private synchronized void run(){
                          NetworkParameters params = RegTestParams.get();
                          WalletAppKit kit = new WalletAppKit(params, new File("."), "walletappkit-example");
                          kit.connectToLocalHost();
                      
                          kit.startAsync();
                          kit.awaitRunning();
                      
                          kit.wallet().addWatchedAddress(Address.fromString(params, "2N23tWAFEtBtTgxNjBNmnwzsiPdLcNek181"));
                      
                          kit.wallet().addCoinsReceivedEventListener((wallet, tx, prevBalance, newBalance) -> {
                            System.out.println("-----> coins resceived: " + tx.getTxId());
                          });
                      
                          while (true) {
                            try {
                              this.wait(2000);
                            } catch (InterruptedException e) {
                              e.printStackTrace();
                            }
                          }
                        }
                      }
                      
                      docker exec -it 0aa2e863cd9927 bitcoin-cli -regtest sendtoaddress 2N23tWAFEtBtTgxNjBNmnwzsiPdLcNek181 0.00001
                      0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26
                      
                      2021-11-09 23:51:20.537 INFO  [NioClientManager][Wallet] Received a pending transaction 0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26 that spends 0.00 BTC from our own wallet, and sends us 0.00001 BTC
                      2021-11-09 23:51:20.537 INFO  [NioClientManager][Wallet] commitTx of 0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26
                      ...
                      2021-11-09 23:51:20.537 INFO  [NioClientManager][Wallet] ->pending: 0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26
                      2021-11-09 23:51:20.537 INFO  [NioClientManager][Wallet] Estimated balance is now: 0.00001 BTC
                      -----> coins resceived: 0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26
                      2021-11-09 23:51:20.538 INFO  [NioClientManager][WalletFiles] Saving wallet; last seen block is height 165, date 2021-11-09T22:50:48Z, hash 23451521947bc5ff098c088ae0fc445becca8837d39ee8f6dd88f2c47ad5ac23
                      2021-11-09 23:51:20.543 INFO  [NioClientManager][WalletFiles] Save completed in 4.736 ms
                      
                      docker run -p 18444:19000 -d ulamlabs/bitcoind-custom-regtest:latest
                      
                      docker exec -it 0aa2e863cd9927 bash
                      
                      peerbloomfilters=1
                      
                      docker exec -it 0aa2e863cd9927 bitcoin-cli -regtest getnewaddress
                      
                      2N23tWAFEtBtTgxNjBNmnwzsiPdLcNek181
                      
                      docker exec -it 0aa2e863cd9927 bitcoin-cli -regtest generatetoaddress 101 2N23tWAFEtBtTgxNjBNmnwzsiPdLcNek181 
                      
                      import java.io.File;
                      
                      import org.bitcoinj.core.Address;
                      import org.bitcoinj.core.NetworkParameters;
                      import org.bitcoinj.kits.WalletAppKit;
                      import org.bitcoinj.params.RegTestParams;
                      
                      public class Kit {
                      
                        public static void main(String[] args) {
                          Kit kit  = new Kit();
                          kit.run();
                        }
                      
                        private synchronized void run(){
                          NetworkParameters params = RegTestParams.get();
                          WalletAppKit kit = new WalletAppKit(params, new File("."), "walletappkit-example");
                          kit.connectToLocalHost();
                      
                          kit.startAsync();
                          kit.awaitRunning();
                      
                          kit.wallet().addWatchedAddress(Address.fromString(params, "2N23tWAFEtBtTgxNjBNmnwzsiPdLcNek181"));
                      
                          kit.wallet().addCoinsReceivedEventListener((wallet, tx, prevBalance, newBalance) -> {
                            System.out.println("-----> coins resceived: " + tx.getTxId());
                          });
                      
                          while (true) {
                            try {
                              this.wait(2000);
                            } catch (InterruptedException e) {
                              e.printStackTrace();
                            }
                          }
                        }
                      }
                      
                      docker exec -it 0aa2e863cd9927 bitcoin-cli -regtest sendtoaddress 2N23tWAFEtBtTgxNjBNmnwzsiPdLcNek181 0.00001
                      0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26
                      
                      2021-11-09 23:51:20.537 INFO  [NioClientManager][Wallet] Received a pending transaction 0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26 that spends 0.00 BTC from our own wallet, and sends us 0.00001 BTC
                      2021-11-09 23:51:20.537 INFO  [NioClientManager][Wallet] commitTx of 0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26
                      ...
                      2021-11-09 23:51:20.537 INFO  [NioClientManager][Wallet] ->pending: 0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26
                      2021-11-09 23:51:20.537 INFO  [NioClientManager][Wallet] Estimated balance is now: 0.00001 BTC
                      -----> coins resceived: 0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26
                      2021-11-09 23:51:20.538 INFO  [NioClientManager][WalletFiles] Saving wallet; last seen block is height 165, date 2021-11-09T22:50:48Z, hash 23451521947bc5ff098c088ae0fc445becca8837d39ee8f6dd88f2c47ad5ac23
                      2021-11-09 23:51:20.543 INFO  [NioClientManager][WalletFiles] Save completed in 4.736 ms
                      
                      docker run -p 18444:19000 -d ulamlabs/bitcoind-custom-regtest:latest
                      
                      docker exec -it 0aa2e863cd9927 bash
                      
                      peerbloomfilters=1
                      
                      docker exec -it 0aa2e863cd9927 bitcoin-cli -regtest getnewaddress
                      
                      2N23tWAFEtBtTgxNjBNmnwzsiPdLcNek181
                      
                      docker exec -it 0aa2e863cd9927 bitcoin-cli -regtest generatetoaddress 101 2N23tWAFEtBtTgxNjBNmnwzsiPdLcNek181 
                      
                      import java.io.File;
                      
                      import org.bitcoinj.core.Address;
                      import org.bitcoinj.core.NetworkParameters;
                      import org.bitcoinj.kits.WalletAppKit;
                      import org.bitcoinj.params.RegTestParams;
                      
                      public class Kit {
                      
                        public static void main(String[] args) {
                          Kit kit  = new Kit();
                          kit.run();
                        }
                      
                        private synchronized void run(){
                          NetworkParameters params = RegTestParams.get();
                          WalletAppKit kit = new WalletAppKit(params, new File("."), "walletappkit-example");
                          kit.connectToLocalHost();
                      
                          kit.startAsync();
                          kit.awaitRunning();
                      
                          kit.wallet().addWatchedAddress(Address.fromString(params, "2N23tWAFEtBtTgxNjBNmnwzsiPdLcNek181"));
                      
                          kit.wallet().addCoinsReceivedEventListener((wallet, tx, prevBalance, newBalance) -> {
                            System.out.println("-----> coins resceived: " + tx.getTxId());
                          });
                      
                          while (true) {
                            try {
                              this.wait(2000);
                            } catch (InterruptedException e) {
                              e.printStackTrace();
                            }
                          }
                        }
                      }
                      
                      docker exec -it 0aa2e863cd9927 bitcoin-cli -regtest sendtoaddress 2N23tWAFEtBtTgxNjBNmnwzsiPdLcNek181 0.00001
                      0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26
                      
                      2021-11-09 23:51:20.537 INFO  [NioClientManager][Wallet] Received a pending transaction 0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26 that spends 0.00 BTC from our own wallet, and sends us 0.00001 BTC
                      2021-11-09 23:51:20.537 INFO  [NioClientManager][Wallet] commitTx of 0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26
                      ...
                      2021-11-09 23:51:20.537 INFO  [NioClientManager][Wallet] ->pending: 0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26
                      2021-11-09 23:51:20.537 INFO  [NioClientManager][Wallet] Estimated balance is now: 0.00001 BTC
                      -----> coins resceived: 0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26
                      2021-11-09 23:51:20.538 INFO  [NioClientManager][WalletFiles] Saving wallet; last seen block is height 165, date 2021-11-09T22:50:48Z, hash 23451521947bc5ff098c088ae0fc445becca8837d39ee8f6dd88f2c47ad5ac23
                      2021-11-09 23:51:20.543 INFO  [NioClientManager][WalletFiles] Save completed in 4.736 ms
                      
                      docker run -p 18444:19000 -d ulamlabs/bitcoind-custom-regtest:latest
                      
                      docker exec -it 0aa2e863cd9927 bash
                      
                      peerbloomfilters=1
                      
                      docker exec -it 0aa2e863cd9927 bitcoin-cli -regtest getnewaddress
                      
                      2N23tWAFEtBtTgxNjBNmnwzsiPdLcNek181
                      
                      docker exec -it 0aa2e863cd9927 bitcoin-cli -regtest generatetoaddress 101 2N23tWAFEtBtTgxNjBNmnwzsiPdLcNek181 
                      
                      import java.io.File;
                      
                      import org.bitcoinj.core.Address;
                      import org.bitcoinj.core.NetworkParameters;
                      import org.bitcoinj.kits.WalletAppKit;
                      import org.bitcoinj.params.RegTestParams;
                      
                      public class Kit {
                      
                        public static void main(String[] args) {
                          Kit kit  = new Kit();
                          kit.run();
                        }
                      
                        private synchronized void run(){
                          NetworkParameters params = RegTestParams.get();
                          WalletAppKit kit = new WalletAppKit(params, new File("."), "walletappkit-example");
                          kit.connectToLocalHost();
                      
                          kit.startAsync();
                          kit.awaitRunning();
                      
                          kit.wallet().addWatchedAddress(Address.fromString(params, "2N23tWAFEtBtTgxNjBNmnwzsiPdLcNek181"));
                      
                          kit.wallet().addCoinsReceivedEventListener((wallet, tx, prevBalance, newBalance) -> {
                            System.out.println("-----> coins resceived: " + tx.getTxId());
                          });
                      
                          while (true) {
                            try {
                              this.wait(2000);
                            } catch (InterruptedException e) {
                              e.printStackTrace();
                            }
                          }
                        }
                      }
                      
                      docker exec -it 0aa2e863cd9927 bitcoin-cli -regtest sendtoaddress 2N23tWAFEtBtTgxNjBNmnwzsiPdLcNek181 0.00001
                      0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26
                      
                      2021-11-09 23:51:20.537 INFO  [NioClientManager][Wallet] Received a pending transaction 0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26 that spends 0.00 BTC from our own wallet, and sends us 0.00001 BTC
                      2021-11-09 23:51:20.537 INFO  [NioClientManager][Wallet] commitTx of 0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26
                      ...
                      2021-11-09 23:51:20.537 INFO  [NioClientManager][Wallet] ->pending: 0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26
                      2021-11-09 23:51:20.537 INFO  [NioClientManager][Wallet] Estimated balance is now: 0.00001 BTC
                      -----> coins resceived: 0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26
                      2021-11-09 23:51:20.538 INFO  [NioClientManager][WalletFiles] Saving wallet; last seen block is height 165, date 2021-11-09T22:50:48Z, hash 23451521947bc5ff098c088ae0fc445becca8837d39ee8f6dd88f2c47ad5ac23
                      2021-11-09 23:51:20.543 INFO  [NioClientManager][WalletFiles] Save completed in 4.736 ms
                      
                      docker run -p 18444:19000 -d ulamlabs/bitcoind-custom-regtest:latest
                      
                      docker exec -it 0aa2e863cd9927 bash
                      
                      peerbloomfilters=1
                      
                      docker exec -it 0aa2e863cd9927 bitcoin-cli -regtest getnewaddress
                      
                      2N23tWAFEtBtTgxNjBNmnwzsiPdLcNek181
                      
                      docker exec -it 0aa2e863cd9927 bitcoin-cli -regtest generatetoaddress 101 2N23tWAFEtBtTgxNjBNmnwzsiPdLcNek181 
                      
                      import java.io.File;
                      
                      import org.bitcoinj.core.Address;
                      import org.bitcoinj.core.NetworkParameters;
                      import org.bitcoinj.kits.WalletAppKit;
                      import org.bitcoinj.params.RegTestParams;
                      
                      public class Kit {
                      
                        public static void main(String[] args) {
                          Kit kit  = new Kit();
                          kit.run();
                        }
                      
                        private synchronized void run(){
                          NetworkParameters params = RegTestParams.get();
                          WalletAppKit kit = new WalletAppKit(params, new File("."), "walletappkit-example");
                          kit.connectToLocalHost();
                      
                          kit.startAsync();
                          kit.awaitRunning();
                      
                          kit.wallet().addWatchedAddress(Address.fromString(params, "2N23tWAFEtBtTgxNjBNmnwzsiPdLcNek181"));
                      
                          kit.wallet().addCoinsReceivedEventListener((wallet, tx, prevBalance, newBalance) -> {
                            System.out.println("-----> coins resceived: " + tx.getTxId());
                          });
                      
                          while (true) {
                            try {
                              this.wait(2000);
                            } catch (InterruptedException e) {
                              e.printStackTrace();
                            }
                          }
                        }
                      }
                      
                      docker exec -it 0aa2e863cd9927 bitcoin-cli -regtest sendtoaddress 2N23tWAFEtBtTgxNjBNmnwzsiPdLcNek181 0.00001
                      0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26
                      
                      2021-11-09 23:51:20.537 INFO  [NioClientManager][Wallet] Received a pending transaction 0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26 that spends 0.00 BTC from our own wallet, and sends us 0.00001 BTC
                      2021-11-09 23:51:20.537 INFO  [NioClientManager][Wallet] commitTx of 0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26
                      ...
                      2021-11-09 23:51:20.537 INFO  [NioClientManager][Wallet] ->pending: 0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26
                      2021-11-09 23:51:20.537 INFO  [NioClientManager][Wallet] Estimated balance is now: 0.00001 BTC
                      -----> coins resceived: 0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26
                      2021-11-09 23:51:20.538 INFO  [NioClientManager][WalletFiles] Saving wallet; last seen block is height 165, date 2021-11-09T22:50:48Z, hash 23451521947bc5ff098c088ae0fc445becca8837d39ee8f6dd88f2c47ad5ac23
                      2021-11-09 23:51:20.543 INFO  [NioClientManager][WalletFiles] Save completed in 4.736 ms
                      
                      docker run -p 18444:19000 -d ulamlabs/bitcoind-custom-regtest:latest
                      
                      docker exec -it 0aa2e863cd9927 bash
                      
                      peerbloomfilters=1
                      
                      docker exec -it 0aa2e863cd9927 bitcoin-cli -regtest getnewaddress
                      
                      2N23tWAFEtBtTgxNjBNmnwzsiPdLcNek181
                      
                      docker exec -it 0aa2e863cd9927 bitcoin-cli -regtest generatetoaddress 101 2N23tWAFEtBtTgxNjBNmnwzsiPdLcNek181 
                      
                      import java.io.File;
                      
                      import org.bitcoinj.core.Address;
                      import org.bitcoinj.core.NetworkParameters;
                      import org.bitcoinj.kits.WalletAppKit;
                      import org.bitcoinj.params.RegTestParams;
                      
                      public class Kit {
                      
                        public static void main(String[] args) {
                          Kit kit  = new Kit();
                          kit.run();
                        }
                      
                        private synchronized void run(){
                          NetworkParameters params = RegTestParams.get();
                          WalletAppKit kit = new WalletAppKit(params, new File("."), "walletappkit-example");
                          kit.connectToLocalHost();
                      
                          kit.startAsync();
                          kit.awaitRunning();
                      
                          kit.wallet().addWatchedAddress(Address.fromString(params, "2N23tWAFEtBtTgxNjBNmnwzsiPdLcNek181"));
                      
                          kit.wallet().addCoinsReceivedEventListener((wallet, tx, prevBalance, newBalance) -> {
                            System.out.println("-----> coins resceived: " + tx.getTxId());
                          });
                      
                          while (true) {
                            try {
                              this.wait(2000);
                            } catch (InterruptedException e) {
                              e.printStackTrace();
                            }
                          }
                        }
                      }
                      
                      docker exec -it 0aa2e863cd9927 bitcoin-cli -regtest sendtoaddress 2N23tWAFEtBtTgxNjBNmnwzsiPdLcNek181 0.00001
                      0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26
                      
                      2021-11-09 23:51:20.537 INFO  [NioClientManager][Wallet] Received a pending transaction 0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26 that spends 0.00 BTC from our own wallet, and sends us 0.00001 BTC
                      2021-11-09 23:51:20.537 INFO  [NioClientManager][Wallet] commitTx of 0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26
                      ...
                      2021-11-09 23:51:20.537 INFO  [NioClientManager][Wallet] ->pending: 0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26
                      2021-11-09 23:51:20.537 INFO  [NioClientManager][Wallet] Estimated balance is now: 0.00001 BTC
                      -----> coins resceived: 0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26
                      2021-11-09 23:51:20.538 INFO  [NioClientManager][WalletFiles] Saving wallet; last seen block is height 165, date 2021-11-09T22:50:48Z, hash 23451521947bc5ff098c088ae0fc445becca8837d39ee8f6dd88f2c47ad5ac23
                      2021-11-09 23:51:20.543 INFO  [NioClientManager][WalletFiles] Save completed in 4.736 ms
                      
                      docker run -p 18444:19000 -d ulamlabs/bitcoind-custom-regtest:latest
                      
                      docker exec -it 0aa2e863cd9927 bash
                      
                      peerbloomfilters=1
                      
                      docker exec -it 0aa2e863cd9927 bitcoin-cli -regtest getnewaddress
                      
                      2N23tWAFEtBtTgxNjBNmnwzsiPdLcNek181
                      
                      docker exec -it 0aa2e863cd9927 bitcoin-cli -regtest generatetoaddress 101 2N23tWAFEtBtTgxNjBNmnwzsiPdLcNek181 
                      
                      import java.io.File;
                      
                      import org.bitcoinj.core.Address;
                      import org.bitcoinj.core.NetworkParameters;
                      import org.bitcoinj.kits.WalletAppKit;
                      import org.bitcoinj.params.RegTestParams;
                      
                      public class Kit {
                      
                        public static void main(String[] args) {
                          Kit kit  = new Kit();
                          kit.run();
                        }
                      
                        private synchronized void run(){
                          NetworkParameters params = RegTestParams.get();
                          WalletAppKit kit = new WalletAppKit(params, new File("."), "walletappkit-example");
                          kit.connectToLocalHost();
                      
                          kit.startAsync();
                          kit.awaitRunning();
                      
                          kit.wallet().addWatchedAddress(Address.fromString(params, "2N23tWAFEtBtTgxNjBNmnwzsiPdLcNek181"));
                      
                          kit.wallet().addCoinsReceivedEventListener((wallet, tx, prevBalance, newBalance) -> {
                            System.out.println("-----> coins resceived: " + tx.getTxId());
                          });
                      
                          while (true) {
                            try {
                              this.wait(2000);
                            } catch (InterruptedException e) {
                              e.printStackTrace();
                            }
                          }
                        }
                      }
                      
                      docker exec -it 0aa2e863cd9927 bitcoin-cli -regtest sendtoaddress 2N23tWAFEtBtTgxNjBNmnwzsiPdLcNek181 0.00001
                      0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26
                      
                      2021-11-09 23:51:20.537 INFO  [NioClientManager][Wallet] Received a pending transaction 0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26 that spends 0.00 BTC from our own wallet, and sends us 0.00001 BTC
                      2021-11-09 23:51:20.537 INFO  [NioClientManager][Wallet] commitTx of 0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26
                      ...
                      2021-11-09 23:51:20.537 INFO  [NioClientManager][Wallet] ->pending: 0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26
                      2021-11-09 23:51:20.537 INFO  [NioClientManager][Wallet] Estimated balance is now: 0.00001 BTC
                      -----> coins resceived: 0f972642713c72ae0fe03fe51818b9ea4d483720b69b90e795f35eb80a587c26
                      2021-11-09 23:51:20.538 INFO  [NioClientManager][WalletFiles] Saving wallet; last seen block is height 165, date 2021-11-09T22:50:48Z, hash 23451521947bc5ff098c088ae0fc445becca8837d39ee8f6dd88f2c47ad5ac23
                      2021-11-09 23:51:20.543 INFO  [NioClientManager][WalletFiles] Save completed in 4.736 ms
                      

                      Importing CSV lines into a class

                      copy iconCopydownload iconDownload
                      % python2 so.py sample.csv 1
                      Traceback (most recent call last):
                        File "so.py", line 336, in <module>
                          model = BDMScholzModel.from_csv_path(args.csv_path)
                        File "so.py", line 241, in from_csv_path
                          return cls(csv.DictReader(open(csv_path, 'rU')))
                        File "so.py", line 233, in __init__
                          for item in data]
                      KeyError: 'Actor'
                      
                      import csv
                      with open('names.csv') as csvfile:
                           reader = csv.DictReader(csvfile)
                           for row in reader:
                               print(row['first_name'], row['last_name'])
                      
                      Actor,Capability,Salience,Position
                      foo,1,1,1
                      bar,2,2,2
                      baz,3,3,3
                      
                      print 'debug data: %s\n' % data
                      return cls(data)
                      
                      python2 so.py sample.csv 1
                      
                      debug data: [
                        {'Capability': '1', 'Position': '1', 'Salience': '1', 'Actor': 'foo'}, 
                        {'Capability': '2', 'Position': '2', 'Salience': '2', 'Actor': 'bar'}, 
                        {'Capability': '3', 'Position': '3', 'Salience': '3', 'Actor': 'baz'}
                      ]
                      
                      Median position: 3.0
                      Mean position: 2.57142857143
                      
                      ROUND 1
                      
                      Median position: 3.0
                      Mean position: 2.57142857143
                      
                      @classmethod
                      def from_csv_path(cls, csv_path):
                          data = []
                          with open(csv_path) as csvfile:
                              reader = csv.DictReader(csvfile)
                              for row in reader:
                                  data.append(row)
                          print 'debug data: %s\n' % data
                          return cls(data)
                      
                      % python2 so.py sample.csv 1
                      Traceback (most recent call last):
                        File "so.py", line 336, in <module>
                          model = BDMScholzModel.from_csv_path(args.csv_path)
                        File "so.py", line 241, in from_csv_path
                          return cls(csv.DictReader(open(csv_path, 'rU')))
                        File "so.py", line 233, in __init__
                          for item in data]
                      KeyError: 'Actor'
                      
                      import csv
                      with open('names.csv') as csvfile:
                           reader = csv.DictReader(csvfile)
                           for row in reader:
                               print(row['first_name'], row['last_name'])
                      
                      Actor,Capability,Salience,Position
                      foo,1,1,1
                      bar,2,2,2
                      baz,3,3,3
                      
                      print 'debug data: %s\n' % data
                      return cls(data)
                      
                      python2 so.py sample.csv 1
                      
                      debug data: [
                        {'Capability': '1', 'Position': '1', 'Salience': '1', 'Actor': 'foo'}, 
                        {'Capability': '2', 'Position': '2', 'Salience': '2', 'Actor': 'bar'}, 
                        {'Capability': '3', 'Position': '3', 'Salience': '3', 'Actor': 'baz'}
                      ]
                      
                      Median position: 3.0
                      Mean position: 2.57142857143
                      
                      ROUND 1
                      
                      Median position: 3.0
                      Mean position: 2.57142857143
                      
                      @classmethod
                      def from_csv_path(cls, csv_path):
                          data = []
                          with open(csv_path) as csvfile:
                              reader = csv.DictReader(csvfile)
                              for row in reader:
                                  data.append(row)
                          print 'debug data: %s\n' % data
                          return cls(data)
                      
                      % python2 so.py sample.csv 1
                      Traceback (most recent call last):
                        File "so.py", line 336, in <module>
                          model = BDMScholzModel.from_csv_path(args.csv_path)
                        File "so.py", line 241, in from_csv_path
                          return cls(csv.DictReader(open(csv_path, 'rU')))
                        File "so.py", line 233, in __init__
                          for item in data]
                      KeyError: 'Actor'
                      
                      import csv
                      with open('names.csv') as csvfile:
                           reader = csv.DictReader(csvfile)
                           for row in reader:
                               print(row['first_name'], row['last_name'])
                      
                      Actor,Capability,Salience,Position
                      foo,1,1,1
                      bar,2,2,2
                      baz,3,3,3
                      
                      print 'debug data: %s\n' % data
                      return cls(data)
                      
                      python2 so.py sample.csv 1
                      
                      debug data: [
                        {'Capability': '1', 'Position': '1', 'Salience': '1', 'Actor': 'foo'}, 
                        {'Capability': '2', 'Position': '2', 'Salience': '2', 'Actor': 'bar'}, 
                        {'Capability': '3', 'Position': '3', 'Salience': '3', 'Actor': 'baz'}
                      ]
                      
                      Median position: 3.0
                      Mean position: 2.57142857143
                      
                      ROUND 1
                      
                      Median position: 3.0
                      Mean position: 2.57142857143
                      
                      @classmethod
                      def from_csv_path(cls, csv_path):
                          data = []
                          with open(csv_path) as csvfile:
                              reader = csv.DictReader(csvfile)
                              for row in reader:
                                  data.append(row)
                          print 'debug data: %s\n' % data
                          return cls(data)
                      
                      % python2 so.py sample.csv 1
                      Traceback (most recent call last):
                        File "so.py", line 336, in <module>
                          model = BDMScholzModel.from_csv_path(args.csv_path)
                        File "so.py", line 241, in from_csv_path
                          return cls(csv.DictReader(open(csv_path, 'rU')))
                        File "so.py", line 233, in __init__
                          for item in data]
                      KeyError: 'Actor'
                      
                      import csv
                      with open('names.csv') as csvfile:
                           reader = csv.DictReader(csvfile)
                           for row in reader:
                               print(row['first_name'], row['last_name'])
                      
                      Actor,Capability,Salience,Position
                      foo,1,1,1
                      bar,2,2,2
                      baz,3,3,3
                      
                      print 'debug data: %s\n' % data
                      return cls(data)
                      
                      python2 so.py sample.csv 1
                      
                      debug data: [
                        {'Capability': '1', 'Position': '1', 'Salience': '1', 'Actor': 'foo'}, 
                        {'Capability': '2', 'Position': '2', 'Salience': '2', 'Actor': 'bar'}, 
                        {'Capability': '3', 'Position': '3', 'Salience': '3', 'Actor': 'baz'}
                      ]
                      
                      Median position: 3.0
                      Mean position: 2.57142857143
                      
                      ROUND 1
                      
                      Median position: 3.0
                      Mean position: 2.57142857143
                      
                      @classmethod
                      def from_csv_path(cls, csv_path):
                          data = []
                          with open(csv_path) as csvfile:
                              reader = csv.DictReader(csvfile)
                              for row in reader:
                                  data.append(row)
                          print 'debug data: %s\n' % data
                          return cls(data)
                      
                      % python2 so.py sample.csv 1
                      Traceback (most recent call last):
                        File "so.py", line 336, in <module>
                          model = BDMScholzModel.from_csv_path(args.csv_path)
                        File "so.py", line 241, in from_csv_path
                          return cls(csv.DictReader(open(csv_path, 'rU')))
                        File "so.py", line 233, in __init__
                          for item in data]
                      KeyError: 'Actor'
                      
                      import csv
                      with open('names.csv') as csvfile:
                           reader = csv.DictReader(csvfile)
                           for row in reader:
                               print(row['first_name'], row['last_name'])
                      
                      Actor,Capability,Salience,Position
                      foo,1,1,1
                      bar,2,2,2
                      baz,3,3,3
                      
                      print 'debug data: %s\n' % data
                      return cls(data)
                      
                      python2 so.py sample.csv 1
                      
                      debug data: [
                        {'Capability': '1', 'Position': '1', 'Salience': '1', 'Actor': 'foo'}, 
                        {'Capability': '2', 'Position': '2', 'Salience': '2', 'Actor': 'bar'}, 
                        {'Capability': '3', 'Position': '3', 'Salience': '3', 'Actor': 'baz'}
                      ]
                      
                      Median position: 3.0
                      Mean position: 2.57142857143
                      
                      ROUND 1
                      
                      Median position: 3.0
                      Mean position: 2.57142857143
                      
                      @classmethod
                      def from_csv_path(cls, csv_path):
                          data = []
                          with open(csv_path) as csvfile:
                              reader = csv.DictReader(csvfile)
                              for row in reader:
                                  data.append(row)
                          print 'debug data: %s\n' % data
                          return cls(data)
                      
                      % python2 so.py sample.csv 1
                      Traceback (most recent call last):
                        File "so.py", line 336, in <module>
                          model = BDMScholzModel.from_csv_path(args.csv_path)
                        File "so.py", line 241, in from_csv_path
                          return cls(csv.DictReader(open(csv_path, 'rU')))
                        File "so.py", line 233, in __init__
                          for item in data]
                      KeyError: 'Actor'
                      
                      import csv
                      with open('names.csv') as csvfile:
                           reader = csv.DictReader(csvfile)
                           for row in reader:
                               print(row['first_name'], row['last_name'])
                      
                      Actor,Capability,Salience,Position
                      foo,1,1,1
                      bar,2,2,2
                      baz,3,3,3
                      
                      print 'debug data: %s\n' % data
                      return cls(data)
                      
                      python2 so.py sample.csv 1
                      
                      debug data: [
                        {'Capability': '1', 'Position': '1', 'Salience': '1', 'Actor': 'foo'}, 
                        {'Capability': '2', 'Position': '2', 'Salience': '2', 'Actor': 'bar'}, 
                        {'Capability': '3', 'Position': '3', 'Salience': '3', 'Actor': 'baz'}
                      ]
                      
                      Median position: 3.0
                      Mean position: 2.57142857143
                      
                      ROUND 1
                      
                      Median position: 3.0
                      Mean position: 2.57142857143
                      
                      @classmethod
                      def from_csv_path(cls, csv_path):
                          data = []
                          with open(csv_path) as csvfile:
                              reader = csv.DictReader(csvfile)
                              for row in reader:
                                  data.append(row)
                          print 'debug data: %s\n' % data
                          return cls(data)
                      
                      % python2 so.py sample.csv 1
                      Traceback (most recent call last):
                        File "so.py", line 336, in <module>
                          model = BDMScholzModel.from_csv_path(args.csv_path)
                        File "so.py", line 241, in from_csv_path
                          return cls(csv.DictReader(open(csv_path, 'rU')))
                        File "so.py", line 233, in __init__
                          for item in data]
                      KeyError: 'Actor'
                      
                      import csv
                      with open('names.csv') as csvfile:
                           reader = csv.DictReader(csvfile)
                           for row in reader:
                               print(row['first_name'], row['last_name'])
                      
                      Actor,Capability,Salience,Position
                      foo,1,1,1
                      bar,2,2,2
                      baz,3,3,3
                      
                      print 'debug data: %s\n' % data
                      return cls(data)
                      
                      python2 so.py sample.csv 1
                      
                      debug data: [
                        {'Capability': '1', 'Position': '1', 'Salience': '1', 'Actor': 'foo'}, 
                        {'Capability': '2', 'Position': '2', 'Salience': '2', 'Actor': 'bar'}, 
                        {'Capability': '3', 'Position': '3', 'Salience': '3', 'Actor': 'baz'}
                      ]
                      
                      Median position: 3.0
                      Mean position: 2.57142857143
                      
                      ROUND 1
                      
                      Median position: 3.0
                      Mean position: 2.57142857143
                      
                      @classmethod
                      def from_csv_path(cls, csv_path):
                          data = []
                          with open(csv_path) as csvfile:
                              reader = csv.DictReader(csvfile)
                              for row in reader:
                                  data.append(row)
                          print 'debug data: %s\n' % data
                          return cls(data)
                      

                      Community Discussions

                      Trending Discussions on compromise
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                      Trending Discussions on compromise

                      QUESTION

                      Why is the `sx` prop so much slower?

                      Asked 2022-Mar-31 at 15:56

                      As per MUI's own doco, and this answer - components using sx render significantly slower than components using other styling mechanisms.

                      On the surface, it looks like sx is just an alternate convenience API for doing the same thing - so I wouldn't expect it to have such a different performance profile.

                      My question is: Why is the rendering of a component using sx so much slower - what's it doing so differently? Is it a whole different styling engine or something?

                      I'm curious about the possibility of optimising it, or coming up with a compromise that retains most of the usability but omits whatever feature is causing the slowdown.

                      Please note, this question is about "why is the performance so different" - not "why do you think the difference doesn't matter".

                      ANSWER

                      Answered 2022-Mar-31 at 15:56

                      As I started to dig into this, I realized that I needed to measure the performance of different scenarios in order to have any confidence in my understanding of the performance aspects of the sx prop.

                      I believe that the performance information in the MUI documentation was gathered using some variation of this repository: https://github.com/mnajdova/react-native-web. The react-native-web repo was used as a starting point because of its "benchmarks" package which contains a useful framework for measuring the performance of different React element rendering/styling approaches.

                      I created my own version here: https://github.com/ryancogswell/mui-style-benchmarks. You can use this as a starting point to dig into this further. Below are the measurements I made and my conclusions.

                      My Results for the "Mount deep tree" Benchmark

                      This test renders 639 elements with approximately 17 CSS properties each except for the cases ("..._minimal", "..._medium") which reduce the number of CSS properties to show the performance impact.

                      Styling Implementation Time in ms Implementation Desc
                      inline-styles 22.78 No styling engine, just use style prop
                      mui_sx_full 36.89 MUI Box sx prop with 17 CSS properties
                      mui_sx_medium 24.09 MUI Box sx prop with 9 CSS properties
                      mui_sx_minimal 18.15 MUI Box sx prop with 4 CSS properties
                      mui_styled_box 22.38 MUI styled MUI Box with 17 CSS properties
                      mui_styled_box_minimal 17.90 MUI styled MUI Box with 4 CSS properties
                      tss_react_makestyles 17.10 makeStyles from tss-react with 17 CSS properties
                      mui_styled 16.93 MUI styled div with 17 CSS properties
                      mui_styled_minimal 13.77 MUI styled div with 4 CSS properties
                      emotion_styled 16.69 Emotion styled div with 17 CSS properties
                      emotion_styled_minimal 12.76 Emotion styled div with 4 CSS properties
                      emotion_css 12.58 Emotion css div with 17 CSS properties
                      Conclusions
                      • MUI styled (e.g. import {styled} from '@mui/material/styles') only adds a small amount of overhead to Emotion's styled.
                      • tss-react performs similarly to MUI styled.
                      • Emotion styled, Emotion css, MUI styled, and the MUI sx prop are all more expensive when there are more CSS properties passed to the styling engine.
                      • The performance of the sx prop degrades more quickly than the styled API as more CSS properties are passed to it. With 17 CSS properties the performance is much worse than the styled API (2x).
                      • The sx prop performs just fine for a small number (e.g. < 5) of CSS properties. Particularly, if you are already using a MUI component in a given situation, there is no meaningful performance difference between wrapping it with styled or using the sx prop if you are just using a small number of CSS properties.
                      What is the cause of the sx prop slowness?

                      Is it a whole different styling engine or something?

                      It is not a different styling engine. The output of the work done for the sx prop is fed into the styled API of the main styling engine (e.g. Emotion or styled-components); so using the sx prop with the Box component is guaranteed to be slower than the equivalent styles using styled on a div because the sx prop still uses styled in the end but does additional work first.

                      What is the additional work done by the sx prop?

                      The net effect is that for each CSS property there are a number of lookups and function calls to see if the CSS property needs to be transformed even in the cases where the value passes through without changes.

                      I'm curious about the possibility of optimising it, or coming up with a compromise that retains most of the usability but omits whatever feature is causing the slowdown.

                      I'm sure that performance improvements are possible for the sx prop, but I don't think there is any single silver bullet for easily making it faster. Instead it will probably require a large number of little changes that are each barely measurable, but cumulatively provide decent improvement. The challenge is to make those changes without simultaneously making the code more complex and/or harder to maintain and/or more error prone.

                      The main compromise that "retains most of the usability" is to use Emotion's css prop directly. It can be used directly on elements in a similar fashion as the sx prop -- you just lose the shorthand notations and theme lookups that the sx prop provides. The theme lookups (e.g. for colors or spacing units) are easy to get directly from the theme by using the useTheme hook in the component. The theme.breakpoints API can be used instead of the breakpoint shorthands; though the sx breakpoint features are much nicer from a DX standpoint.

                      Source https://stackoverflow.com/questions/71596050

                      Community Discussions, Code Snippets contain sources that include Stack Exchange Network

                      Vulnerabilities

                      No vulnerabilities reported

                      Install compromise

                      You can install using 'npm i nlp_compromise' or download it from GitHub, npm.

                      Support

                      For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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