The following document contains the results of PMD 6.13.0.
| Rule | Violation | Line |
|---|---|---|
| UseUtilityClass | All methods are static. Consider using a utility class instead. Alternatively, you could add a private constructor or make the class abstract to silence this warning. | 18–51 |
| Rule | Violation | Line |
|---|---|---|
| DataClass | The class 'Cliente' is suspected to be a Data Class (WOC=9.091%, NOPA=0, NOAM=8, WMC=11) | 16–128 |
| ShortVariable | Avoid variables with short names like id | 22 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 126 |
| Rule | Violation | Line |
|---|---|---|
| DataClass | The class 'Compra' is suspected to be a Data Class (WOC=0.000%, NOPA=0, NOAM=4, WMC=6) | 6–67 |
| Rule | Violation | Line |
|---|---|---|
| TooManyMethods | This class has too many methods, consider refactoring it. | 25–391 |
| GodClass | Possible God Class (WMC=53, ATFD=16, TCC=2.339%) | 25–391 |
| ShortVariable | Avoid variables with short names like id | 30 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 103 |
| CommentSize | Comment is too large: Too many lines | 121–129 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 141 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 155 |
| CommentSize | Comment is too large: Too many lines | 158–171 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 184–185 |
| LawOfDemeter | Potential violation of Law of Demeter (object not created locally) | 186 |
| LawOfDemeter | Potential violation of Law of Demeter (object not created locally) | 197 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 208 |
| LawOfDemeter | Potential violation of Law of Demeter (object not created locally) | 209 |
| LawOfDemeter | Potential violation of Law of Demeter (object not created locally) | 212 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 222–223 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 222–223 |
| LocalVariableCouldBeFinal | Local variable 'movimiento' could be declared final | 225 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 246 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 246 |
| LawOfDemeter | Potential violation of Law of Demeter (object not created locally) | 247 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 251 |
| LocalVariableCouldBeFinal | Local variable 'titular' could be declared final | 261 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 262 |
| CommentSize | Comment is too large: Too many lines | 271–279 |
| PrematureDeclaration | Avoid declaring a variable if it is unreferenced before a possible exit point. | 284 |
| PrematureDeclaration | Avoid declaring a variable if it is unreferenced before a possible exit point. | 285 |
| AvoidFinalLocalVariable | Avoid using final local variables, turn them into fields | 285 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 288 |
| LawOfDemeter | Potential violation of Law of Demeter (object not created locally) | 289 |
| LawOfDemeter | Potential violation of Law of Demeter (object not created locally) | 292 |
| LawOfDemeter | Potential violation of Law of Demeter (object not created locally) | 293 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 301 |
| CommentSize | Comment is too large: Too many lines | 305–314 |
| PrematureDeclaration | Avoid declaring a variable if it is unreferenced before a possible exit point. | 321 |
| PrematureDeclaration | Avoid declaring a variable if it is unreferenced before a possible exit point. | 322 |
| AvoidFinalLocalVariable | Avoid using final local variables, turn them into fields | 322 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 325 |
| LawOfDemeter | Potential violation of Law of Demeter (object not created locally) | 326 |
| LawOfDemeter | Potential violation of Law of Demeter (object not created locally) | 330 |
| LawOfDemeter | Potential violation of Law of Demeter (object not created locally) | 331 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 340 |
| Rule | Violation | Line |
|---|---|---|
| CommentSize | Comment is too large: Too many lines | 50–58 |
| UnusedPrivateMethod | Avoid unused private methods such as 'loadDAO(CuentaDAO,MovimientoCuentaDAO,ClienteDAO,MovimientoTarjetaCreditoDAO,TarjetaDebitoDAO,TarjetaCreditoDAO)'. | 60–66 |
| UnusedPrivateMethod | Avoid unused private methods such as 'loadDAO(CuentaDAO,MovimientoCuentaDAO,ClienteDAO,MovimientoTarjetaCreditoDAO,TarjetaDebitoDAO,TarjetaCreditoDAO)'. | 60–66 |
| AvoidSynchronizedAtMethodLevel | Use block level rather than method level synchronization | 60–73 |
| Rule | Violation | Line |
|---|---|---|
| DataClass | The class 'MovimientoCuenta' is suspected to be a Data Class (WOC=0.000%, NOPA=0, NOAM=8, WMC=10) | 13–122 |
| ShortVariable | Avoid variables with short names like id | 19 |
| Rule | Violation | Line |
|---|---|---|
| DataClass | The class 'MovimientoTarjetaCredito' is suspected to be a Data Class (WOC=0.000%, NOPA=0, NOAM=10, WMC=12) | 13–148 |
| ShortVariable | Avoid variables with short names like id | 20 |
| Rule | Violation | Line |
|---|---|---|
| DataClass | The class 'Tarjeta' is suspected to be a Data Class (WOC=5.882%, NOPA=0, NOAM=15, WMC=26) | 26–328 |
| AbstractNaming | Abstract classes should be named AbstractXXX | 26–328 |
| ShortVariable | Avoid variables with short names like id | 34 |
| AvoidFinalLocalVariable | Avoid using final local variables, turn them into fields | 73 |
| AvoidFinalLocalVariable | Avoid using final local variables, turn them into fields | 74 |
| AvoidFinalLocalVariable | Avoid using final local variables, turn them into fields | 96 |
| PrematureDeclaration | Avoid declaring a variable if it is unreferenced before a possible exit point. | 96 |
| CommentSize | Comment is too large: Too many lines | 109–126 |
| CommentSize | Comment is too large: Too many lines | 226–235 |
| CommentSize | Comment is too large: Too many lines | 243–253 |
| CommentSize | Comment is too large: Too many lines | 263–272 |
| Rule | Violation | Line |
|---|---|---|
| UnnecessaryConstructor | Avoid unnecessary constructors - the compiler will generate these for you | 26–28 |
| CommentSize | Comment is too large: Too many lines | 30–40 |
| PrematureDeclaration | Avoid declaring a variable if it is unreferenced before a possible exit point. | 49 |
| AvoidFinalLocalVariable | Avoid using final local variables, turn them into fields | 49 |
| LocalVariableCouldBeFinal | Local variable 'principal' could be declared final | 59–62 |
| LocalVariableCouldBeFinal | Local variable 'mComision' could be declared final | 63–66 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 67–68 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 69–70 |
| CommentSize | Comment is too large: Too many lines | 73–87 |
| AvoidFinalLocalVariable | Avoid using final local variables, turn them into fields | 96 |
| PrematureDeclaration | Avoid declaring a variable if it is unreferenced before a possible exit point. | 96 |
| AvoidFinalLocalVariable | Avoid using final local variables, turn them into fields | 97 |
| PrematureDeclaration | Avoid declaring a variable if it is unreferenced before a possible exit point. | 97 |
| AvoidFinalLocalVariable | Avoid using final local variables, turn them into fields | 98 |
| PrematureDeclaration | Avoid declaring a variable if it is unreferenced before a possible exit point. | 98 |
| LocalVariableCouldBeFinal | Local variable 'dado' could be declared final | 99 |
| PrematureDeclaration | Avoid declaring a variable if it is unreferenced before a possible exit point. | 99 |
| PrematureDeclaration | Avoid declaring a variable if it is unreferenced before a possible exit point. | 100 |
| CommentSize | Comment is too large: Too many lines | 121–133 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 155–156 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 165 |
| ShortVariable | Avoid variables with short names like mm | 173 |
| LocalVariableCouldBeFinal | Local variable 'mm' could be declared final | 173–175 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 174–175 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 174–175 |
| LocalVariableCouldBeFinal | Local variable 'm' could be declared final | 176 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 180–181 |
| LocalVariableCouldBeFinal | Local variable 'mm' could be declared final | 202–204 |
| ShortVariable | Avoid variables with short names like mm | 202 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 203–204 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 203–204 |
| LocalVariableCouldBeFinal | Local variable 'm' could be declared final | 205 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 235 |
| Rule | Violation | Line |
|---|---|---|
| UnnecessaryConstructor | Avoid unnecessary constructors - the compiler will generate these for you | 21–23 |
| CommentSize | Comment is too large: Too many lines | 25–36 |
| CommentSize | Comment is too large: Too many lines | 50–64 |
| AvoidFinalLocalVariable | Avoid using final local variables, turn them into fields | 73 |
| AvoidFinalLocalVariable | Avoid using final local variables, turn them into fields | 74 |
| AvoidFinalLocalVariable | Avoid using final local variables, turn them into fields | 75 |
| CommentSize | Comment is too large: Too many lines | 90–101 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 121 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 137 |
| Rule | Violation | Line |
|---|---|---|
| DataflowAnomalyAnalysis | Found 'UR'-anomaly for variable 'movimiento' (lines '219'-'226'). | 219–226 |
| DataflowAnomalyAnalysis | Found 'DD'-anomaly for variable 'saldo' (lines '220'-'226'). | 220–226 |
| DataflowAnomalyAnalysis | Found 'UR'-anomaly for variable 'titular' (lines '259'-'262'). | 259–262 |
| DataflowAnomalyAnalysis | Found 'DD'-anomaly for variable 'encontrado' (lines '260'-'263'). | 260–263 |
| DataflowAnomalyAnalysis | Found 'DD'-anomaly for variable 'encontrado' (lines '284'-'293'). | 284–293 |
| DataflowAnomalyAnalysis | Found 'DU'-anomaly for variable 'encontrado' (lines '284'-'303'). | 284–303 |
| DataflowAnomalyAnalysis | Found 'DD'-anomaly for variable 'encontrado' (lines '321'-'331'). | 321–331 |
| DataflowAnomalyAnalysis | Found 'DU'-anomaly for variable 'encontrado' (lines '321'-'342'). | 321–342 |
| Rule | Violation | Line |
|---|---|---|
| DataflowAnomalyAnalysis | Found 'DU'-anomaly for variable 'maxIntentos' (lines '96'-'107'). | 96–107 |
| Rule | Violation | Line |
|---|---|---|
| DataflowAnomalyAnalysis | Found 'DU'-anomaly for variable 'minimaComision' (lines '49'-'71'). | 49–71 |
| DataflowAnomalyAnalysis | Found 'DU'-anomaly for variable 'maxDigitosPin' (lines '96'-'119'). | 96–119 |
| DataflowAnomalyAnalysis | Found 'DU'-anomaly for variable 'decimalNumber' (lines '97'-'119'). | 97–119 |
| DataflowAnomalyAnalysis | Found 'DU'-anomaly for variable 'defaultToken' (lines '98'-'119'). | 98–119 |
| DataflowAnomalyAnalysis | Found 'DU'-anomaly for variable 'dado' (lines '99'-'119'). | 99–119 |
| DataflowAnomalyAnalysis | Found 'DD'-anomaly for variable 'token' (lines '100'-'116'). | 100–116 |
| DataflowAnomalyAnalysis | Found 'DD'-anomaly for variable 'token' (lines '100'-'113'). | 100–113 |
| DataflowAnomalyAnalysis | Found 'DU'-anomaly for variable 'token' (lines '100'-'119'). | 100–119 |
| DataflowAnomalyAnalysis | Found 'UR'-anomaly for variable 'm' (lines '171'-'177'). | 171–177 |
| DataflowAnomalyAnalysis | Found 'DD'-anomaly for variable 'gastos' (lines '172'-'178'). | 172–178 |
| DataflowAnomalyAnalysis | Found 'UR'-anomaly for variable 'm' (lines '200'-'206'). | 200–206 |
| DataflowAnomalyAnalysis | Found 'DD'-anomaly for variable 'gastos' (lines '201'-'207'). | 201–207 |
| Rule | Violation | Line |
|---|---|---|
| DataflowAnomalyAnalysis | Found 'DU'-anomaly for variable 'decimalNumber' (lines '74'-'88'). | 74–88 |
| DataflowAnomalyAnalysis | Found 'DU'-anomaly for variable 'dado' (lines '79'-'88'). | 79–88 |
| DataflowAnomalyAnalysis | Found 'DD'-anomaly for variable 'token' (lines '80'-'85'). | 80–85 |
| DataflowAnomalyAnalysis | Found 'DD'-anomaly for variable 'token' (lines '80'-'82'). | 80–82 |
| Rule | Violation | Priority | Line |
|---|---|---|---|
| UseUtilityClass | All methods are static. Consider using a utility class instead. Alternatively, you could add a private constructor or make the class abstract to silence this warning. | 3 | 18–51 |
| Rule | Violation | Priority | Line |
|---|---|---|---|
| DataClass | The class 'Cliente' is suspected to be a Data Class (WOC=9.091%, NOPA=0, NOAM=8, WMC=11) | 3 | 16–128 |
| ShortVariable | Avoid variables with short names like id | 3 | 22 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 3 | 126 |
| Rule | Violation | Priority | Line |
|---|---|---|---|
| DataClass | The class 'Compra' is suspected to be a Data Class (WOC=0.000%, NOPA=0, NOAM=4, WMC=6) | 3 | 6–67 |
| Rule | Violation | Priority | Line |
|---|---|---|---|
| TooManyMethods | This class has too many methods, consider refactoring it. | 3 | 25–391 |
| GodClass | Possible God Class (WMC=53, ATFD=16, TCC=2.339%) | 3 | 25–391 |
| ShortVariable | Avoid variables with short names like id | 3 | 30 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 3 | 103 |
| CommentSize | Comment is too large: Too many lines | 3 | 121–129 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 3 | 141 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 3 | 155 |
| CommentSize | Comment is too large: Too many lines | 3 | 158–171 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 3 | 184–185 |
| LawOfDemeter | Potential violation of Law of Demeter (object not created locally) | 3 | 186 |
| LawOfDemeter | Potential violation of Law of Demeter (object not created locally) | 3 | 197 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 3 | 208 |
| LawOfDemeter | Potential violation of Law of Demeter (object not created locally) | 3 | 209 |
| LawOfDemeter | Potential violation of Law of Demeter (object not created locally) | 3 | 212 |
| DataflowAnomalyAnalysis | Found 'UR'-anomaly for variable 'movimiento' (lines '219'-'226'). | 5 | 219–226 |
| DataflowAnomalyAnalysis | Found 'DD'-anomaly for variable 'saldo' (lines '220'-'226'). | 5 | 220–226 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 3 | 222–223 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 3 | 222–223 |
| LocalVariableCouldBeFinal | Local variable 'movimiento' could be declared final | 3 | 225 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 3 | 246 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 3 | 246 |
| LawOfDemeter | Potential violation of Law of Demeter (object not created locally) | 3 | 247 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 3 | 251 |
| DataflowAnomalyAnalysis | Found 'UR'-anomaly for variable 'titular' (lines '259'-'262'). | 5 | 259–262 |
| DataflowAnomalyAnalysis | Found 'DD'-anomaly for variable 'encontrado' (lines '260'-'263'). | 5 | 260–263 |
| LocalVariableCouldBeFinal | Local variable 'titular' could be declared final | 3 | 261 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 3 | 262 |
| CommentSize | Comment is too large: Too many lines | 3 | 271–279 |
| DataflowAnomalyAnalysis | Found 'DD'-anomaly for variable 'encontrado' (lines '284'-'293'). | 5 | 284–293 |
| DataflowAnomalyAnalysis | Found 'DU'-anomaly for variable 'encontrado' (lines '284'-'303'). | 5 | 284–303 |
| PrematureDeclaration | Avoid declaring a variable if it is unreferenced before a possible exit point. | 3 | 284 |
| PrematureDeclaration | Avoid declaring a variable if it is unreferenced before a possible exit point. | 3 | 285 |
| AvoidFinalLocalVariable | Avoid using final local variables, turn them into fields | 3 | 285 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 3 | 288 |
| LawOfDemeter | Potential violation of Law of Demeter (object not created locally) | 3 | 289 |
| LawOfDemeter | Potential violation of Law of Demeter (object not created locally) | 3 | 292 |
| LawOfDemeter | Potential violation of Law of Demeter (object not created locally) | 3 | 293 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 3 | 301 |
| CommentSize | Comment is too large: Too many lines | 3 | 305–314 |
| DataflowAnomalyAnalysis | Found 'DD'-anomaly for variable 'encontrado' (lines '321'-'331'). | 5 | 321–331 |
| DataflowAnomalyAnalysis | Found 'DU'-anomaly for variable 'encontrado' (lines '321'-'342'). | 5 | 321–342 |
| PrematureDeclaration | Avoid declaring a variable if it is unreferenced before a possible exit point. | 3 | 321 |
| PrematureDeclaration | Avoid declaring a variable if it is unreferenced before a possible exit point. | 3 | 322 |
| AvoidFinalLocalVariable | Avoid using final local variables, turn them into fields | 3 | 322 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 3 | 325 |
| LawOfDemeter | Potential violation of Law of Demeter (object not created locally) | 3 | 326 |
| LawOfDemeter | Potential violation of Law of Demeter (object not created locally) | 3 | 330 |
| LawOfDemeter | Potential violation of Law of Demeter (object not created locally) | 3 | 331 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 3 | 340 |
| Rule | Violation | Priority | Line |
|---|---|---|---|
| CommentSize | Comment is too large: Too many lines | 3 | 50–58 |
| UnusedPrivateMethod | Avoid unused private methods such as 'loadDAO(CuentaDAO,MovimientoCuentaDAO,ClienteDAO,MovimientoTarjetaCreditoDAO,TarjetaDebitoDAO,TarjetaCreditoDAO)'. | 3 | 60–66 |
| UnusedPrivateMethod | Avoid unused private methods such as 'loadDAO(CuentaDAO,MovimientoCuentaDAO,ClienteDAO,MovimientoTarjetaCreditoDAO,TarjetaDebitoDAO,TarjetaCreditoDAO)'. | 3 | 60–66 |
| AvoidSynchronizedAtMethodLevel | Use block level rather than method level synchronization | 3 | 60–73 |
| Rule | Violation | Priority | Line |
|---|---|---|---|
| DataClass | The class 'MovimientoCuenta' is suspected to be a Data Class (WOC=0.000%, NOPA=0, NOAM=8, WMC=10) | 3 | 13–122 |
| ShortVariable | Avoid variables with short names like id | 3 | 19 |
| Rule | Violation | Priority | Line |
|---|---|---|---|
| DataClass | The class 'MovimientoTarjetaCredito' is suspected to be a Data Class (WOC=0.000%, NOPA=0, NOAM=10, WMC=12) | 3 | 13–148 |
| ShortVariable | Avoid variables with short names like id | 3 | 20 |
| Rule | Violation | Priority | Line |
|---|---|---|---|
| DataClass | The class 'Tarjeta' is suspected to be a Data Class (WOC=5.882%, NOPA=0, NOAM=15, WMC=26) | 3 | 26–328 |
| AbstractNaming | Abstract classes should be named AbstractXXX | 3 | 26–328 |
| ShortVariable | Avoid variables with short names like id | 3 | 34 |
| AvoidFinalLocalVariable | Avoid using final local variables, turn them into fields | 3 | 73 |
| AvoidFinalLocalVariable | Avoid using final local variables, turn them into fields | 3 | 74 |
| DataflowAnomalyAnalysis | Found 'DU'-anomaly for variable 'maxIntentos' (lines '96'-'107'). | 5 | 96–107 |
| AvoidFinalLocalVariable | Avoid using final local variables, turn them into fields | 3 | 96 |
| PrematureDeclaration | Avoid declaring a variable if it is unreferenced before a possible exit point. | 3 | 96 |
| CommentSize | Comment is too large: Too many lines | 3 | 109–126 |
| CommentSize | Comment is too large: Too many lines | 3 | 226–235 |
| CommentSize | Comment is too large: Too many lines | 3 | 243–253 |
| CommentSize | Comment is too large: Too many lines | 3 | 263–272 |
| Rule | Violation | Priority | Line |
|---|---|---|---|
| UnnecessaryConstructor | Avoid unnecessary constructors - the compiler will generate these for you | 3 | 26–28 |
| CommentSize | Comment is too large: Too many lines | 3 | 30–40 |
| PrematureDeclaration | Avoid declaring a variable if it is unreferenced before a possible exit point. | 3 | 49 |
| DataflowAnomalyAnalysis | Found 'DU'-anomaly for variable 'minimaComision' (lines '49'-'71'). | 5 | 49–71 |
| AvoidFinalLocalVariable | Avoid using final local variables, turn them into fields | 3 | 49 |
| LocalVariableCouldBeFinal | Local variable 'principal' could be declared final | 3 | 59–62 |
| LocalVariableCouldBeFinal | Local variable 'mComision' could be declared final | 3 | 63–66 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 3 | 67–68 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 3 | 69–70 |
| CommentSize | Comment is too large: Too many lines | 3 | 73–87 |
| DataflowAnomalyAnalysis | Found 'DU'-anomaly for variable 'maxDigitosPin' (lines '96'-'119'). | 5 | 96–119 |
| AvoidFinalLocalVariable | Avoid using final local variables, turn them into fields | 3 | 96 |
| PrematureDeclaration | Avoid declaring a variable if it is unreferenced before a possible exit point. | 3 | 96 |
| DataflowAnomalyAnalysis | Found 'DU'-anomaly for variable 'decimalNumber' (lines '97'-'119'). | 5 | 97–119 |
| AvoidFinalLocalVariable | Avoid using final local variables, turn them into fields | 3 | 97 |
| PrematureDeclaration | Avoid declaring a variable if it is unreferenced before a possible exit point. | 3 | 97 |
| AvoidFinalLocalVariable | Avoid using final local variables, turn them into fields | 3 | 98 |
| DataflowAnomalyAnalysis | Found 'DU'-anomaly for variable 'defaultToken' (lines '98'-'119'). | 5 | 98–119 |
| PrematureDeclaration | Avoid declaring a variable if it is unreferenced before a possible exit point. | 3 | 98 |
| LocalVariableCouldBeFinal | Local variable 'dado' could be declared final | 3 | 99 |
| PrematureDeclaration | Avoid declaring a variable if it is unreferenced before a possible exit point. | 3 | 99 |
| DataflowAnomalyAnalysis | Found 'DU'-anomaly for variable 'dado' (lines '99'-'119'). | 5 | 99–119 |
| PrematureDeclaration | Avoid declaring a variable if it is unreferenced before a possible exit point. | 3 | 100 |
| DataflowAnomalyAnalysis | Found 'DD'-anomaly for variable 'token' (lines '100'-'116'). | 5 | 100–116 |
| DataflowAnomalyAnalysis | Found 'DD'-anomaly for variable 'token' (lines '100'-'113'). | 5 | 100–113 |
| DataflowAnomalyAnalysis | Found 'DU'-anomaly for variable 'token' (lines '100'-'119'). | 5 | 100–119 |
| CommentSize | Comment is too large: Too many lines | 3 | 121–133 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 3 | 155–156 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 3 | 165 |
| DataflowAnomalyAnalysis | Found 'UR'-anomaly for variable 'm' (lines '171'-'177'). | 5 | 171–177 |
| DataflowAnomalyAnalysis | Found 'DD'-anomaly for variable 'gastos' (lines '172'-'178'). | 5 | 172–178 |
| ShortVariable | Avoid variables with short names like mm | 3 | 173 |
| LocalVariableCouldBeFinal | Local variable 'mm' could be declared final | 3 | 173–175 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 3 | 174–175 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 3 | 174–175 |
| LocalVariableCouldBeFinal | Local variable 'm' could be declared final | 3 | 176 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 3 | 180–181 |
| DataflowAnomalyAnalysis | Found 'UR'-anomaly for variable 'm' (lines '200'-'206'). | 5 | 200–206 |
| DataflowAnomalyAnalysis | Found 'DD'-anomaly for variable 'gastos' (lines '201'-'207'). | 5 | 201–207 |
| LocalVariableCouldBeFinal | Local variable 'mm' could be declared final | 3 | 202–204 |
| ShortVariable | Avoid variables with short names like mm | 3 | 202 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 3 | 203–204 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 3 | 203–204 |
| LocalVariableCouldBeFinal | Local variable 'm' could be declared final | 3 | 205 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 3 | 235 |
| Rule | Violation | Priority | Line |
|---|---|---|---|
| UnnecessaryConstructor | Avoid unnecessary constructors - the compiler will generate these for you | 3 | 21–23 |
| CommentSize | Comment is too large: Too many lines | 3 | 25–36 |
| CommentSize | Comment is too large: Too many lines | 3 | 50–64 |
| AvoidFinalLocalVariable | Avoid using final local variables, turn them into fields | 3 | 73 |
| DataflowAnomalyAnalysis | Found 'DU'-anomaly for variable 'decimalNumber' (lines '74'-'88'). | 5 | 74–88 |
| AvoidFinalLocalVariable | Avoid using final local variables, turn them into fields | 3 | 74 |
| AvoidFinalLocalVariable | Avoid using final local variables, turn them into fields | 3 | 75 |
| DataflowAnomalyAnalysis | Found 'DU'-anomaly for variable 'dado' (lines '79'-'88'). | 5 | 79–88 |
| DataflowAnomalyAnalysis | Found 'DD'-anomaly for variable 'token' (lines '80'-'85'). | 5 | 80–85 |
| DataflowAnomalyAnalysis | Found 'DD'-anomaly for variable 'token' (lines '80'-'82'). | 5 | 80–82 |
| CommentSize | Comment is too large: Too many lines | 3 | 90–101 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 3 | 121 |
| LawOfDemeter | Potential violation of Law of Demeter (method chain calls) | 3 | 137 |


--- imgsrc: "Will_deutsch_jewish_art_judaism_sushi.jpg" postDate: "09.05.14" layout: post ---
Move over lox, gefilte and smoked whitefish…


--- layout: page title: "About" description: "Fontaine Guo" header-img: "assets/owner/hero/about-bg.jpg" permalink: /about/ ---
Welcome!
Now I'm working in a mobile phone game company as a unity3d programmer. I recieved my EE bachelor degree from HUNAN University in 2016.And my interest is Game level design and game graphics(shader,3d models,etc). I'm tring to become a tech artist one day.
I'm willing to share the notes I wrote when I was in a game dev team.However, if you want to commnicate with me about game dev (both game art, game design and programming), you could Cantact me~
Contact me: Fontaine_gzy # 163.com
p.s: please use @ not # when you type my e-mail address, just for keep robot trash e-mail senders out
Image Source: Unsplash


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Welcome to my application for the internship opportunity from HighTechU. My name is Anika and I am a grade 11 student at Mount Douglas Secondary in Saanich, BC. I have been taking computer science courses since grade 9, and program in Java, C++ and Javascript. I am also a member of the Mount Doug coding club, which is currently preparing to participate in the Waterloo Computing Challenge in February 2021.
Some of my recent programming projects are linked below:
HighTechU Summer academy project - forest fire detector Albert and Simon's Adventure Code Thirteen encryption/decryption Java Source Code Calendar generator Java Source Code Pong Tic Tac ToeLast summer, I attended HighTechU’s virtual academy. For our team's final project, I coded a fire detection sensor that would sound a warning when the surrounding temperature exceeded 100 degrees Celscius. I found the experience of working with other like- minded students very enjoyable. I also thought that HighTechU's approach of bringing together high schoolers, UVic students and professors was innovative and effective. My mentor was particularly helpful and I picked up several new skills in TinkerCAD and using Arduinos. I would, therefore love to come back and work for HighTechU.
I can put in about 15 hours a week.
I hope to get more experience in programming solutions to real life problems, working with industry standard programming paradigms and improving my analytical and problem solving skills, including testing and debugging. In terms of soft skills, I’d like to improve my ability to work within a team and better my communication as well as my leadership skills.
Getting a good night’s sleep! I am a part of Mount Douglas Secondary’s Yearbook staff as well as the senior Jazz Band and Environmental leadership. Balancing this internship with my other activities will be a bit of a challenge, but it will help me develop my time management skills and prepare me for University life.
If I am not accepted, I will seek feedback on my application, and strive to strengthen my weakest areas, so that the next time an opportunity of this calibre comes around, I will be ready to take it on.
I enjoy all aspects of software development, starting with figuring out the requirements all the way to testing and debugging. Although the latter occasionally gives me grief, it is still an important part of programming, because it requires the use of problem solving skills. My favorite part is program design, because it allows me to flex my creative muscles.


Java Sample Programs
Various Java programs to illustrate various concepts
>>A Hello World! Java program.
>>Calling Methods. A sample of how to call methods in the same class.
>>For loop. A simple example of using for loops to calculate factorial. Uses the built in int data type so only good to 13!
>>Value Parameters: An example that shows the behavior of value parameters. In Java all parameters are passed by value.
>>String Example. A few brief examples of String manipulations.
>> BinaryConverter. A program with examples of various Java syntax that converts a base 10 int to base 2 String.
>>PrimeEx A program with various approaches to determine if an int is prime or not.
>>Pointers as Value parameters
>>2D array Example. A simplified version of filtering a picture represented by ints.
>>2D array example. Very simple version of the Conway's Game of Life.
>> Getting input from Keyboard with Scanner class
>> Reading ints from file with Scanner class
>>Connecting to and reading from a web page.
>>IntListVer1 First version of the IntList class developed in class. Developing class to illustrate various class design and implementation issues in Java.
>>IntListVer2 Added default add method, equals method, and toString methods. Includes versions of toString using String concatenation and StringBuffer to illustarte performance differences.
>>IntListVer3. Added insert and remove methods.
>> SortedIntList. Inherits from InListVer3 to create a SortedIntList. Class is "broken" because random insertions still allowed.
>>GenericList. Altered the list to store anything, not just ints.
>>Die class. A class that models a playing die.
>>DemoClass: This illustrates some of the more confusing concepts in class syntax and mechanics such as constructors, static vs. instance methods, and method overloading.
>>Stopwatch class. A class for measuring how long it takes for a program to run.
>>Create a Set. A method that using polymorphism to create a set from an array.
>>Recursion examples. Includes examples on finding space taken up by files in a directory including all files in all subdirectories, recursive factorial, recursive power, recursive Fibonacci numbers, and a simple knapsack problem.
>>Eight Queens example. Code to find a a solution to an N queens problem. Note the queensAreSafe method has not been completed.
>>ListNode. A singly linked node class used to build linked lists
>>IList. A simple list interface
>>LinkedList. Similar to the LinkedList developed in class. Does not contain all the methods you would expect of a LinkedList. Also implements the iterator remove method in O(N) time. An O(1) time remove method is possible.
>> UnsortedHashSet - An unsorted set that uses a hashtable with closed address hashing to store values. Currently only the add method is implemented.
>> UnsortedSetTest - A method to compare Java's TreeSet and HashSet to the BianrySearchTree, UnsortedSet, and UnsortedHashSet classes developed in class. Note you need a lot of other files for this to work.
>> SimpleWordCount - Program demonstrating use of a map to count the frequency of words in a file.
>> WordCount - Program that compares counting words in files using an ArrayList and a Map.


I explicitly wanted to experience mixing Sertraline and MDMA because I couldn’t find many mixing experiences documented online and I plan on going on a weekend trip with my girlfriends in a few weeks where we will likely be taking multiple doses of MDMA. Let me start out by saying I’ve only done MDMA about 6 times over the past 2 years. I am not a frequent user, but I love it when I have access to it. I’ve been taking up to 150 mg of Zoloft (Sertraline) for the last 3 months to deal with major anxiety and breathing issues surrounding my upcoming wedding.
I had taken the Setraline at 3pm and I took my first MDMA tablet at 10:15 pm. By 11pm, I could already feel the happiness and lightness wash over me. I was hanging in my friend D’s living room and immediately felt inspired to do yoga. I just love stretching when I feel this way. I feel my entire body loosen up and come alive. It makes me wonder how much physical flexibility is related to a free mind. Hmmm … I just love the fact that time crawls when I take MDMA. I don’t want the feeling to ever end and fortunately, the clock seemed to be moving slowly. This made me happy. I knew I was in for a glorious evening.
Suddenly a friend dropped a second dose of MDMA. Being an adventurer, I decided to follow and take a second as well. At first I was scared. What if I have a bad reaction to the Sertraline? Fortunately, I never did experience any discomfort or increase in anxiety or anything else that I feared. If anything, the MDMA was less intense as a result of the Sertraline, but it was intense enough, it was a smooth and joyous evening.
At midnight, after much giggling and deep therapeutic talking, we ventured to a nightclub where my friend has connections. We ran 10 blocks through the rain and it felt delicious. I’ve seen the streets of my city 1,000 times – but tonight the wet streets sparkled from the reflections of the lights and neon store signs. It made me want to paint. Fortunately, the DJ at the club was off the hook. By 2am I am soaked in sweat, twirling amidst a group of friends and strangers, and feeling so alive and free.
 I was able to see that I fear becoming a “wife” having been raised to be so independent. I realized that I can define “wife”. I don’t have to take on anyone else’s definition. This was very healing for me. Thanks MDMA!
We didn’t leave the club until 6am. We crawled home and I slept on the sofa. This was perhaps the WILDEST part of the evening. As I layed down and shut my eyes, my ear drums seemed to be hypersensitive and I think I was tuned into some very low and high frequencies of vibrations as sounds. My inner ears were fluttering and I felt like I was tapped into sounds I wouldn’t normally hear. There was a cacophonous orchestra of low rumblings and high scales. Perhaps it was just my ears reacting to the load music from the club. But I think it was special. I think I was hearing the state of my environment. Also, when I closed my eyes, I also saw wild fire burning through swirls of neon blue and red. It was kind of annoying. I just wanted to go to sleep. After about 30 minutes I was able to sleep.
It’s now 2 days later. I slept for the last 20 hours – I think I really needed it. I feel almost 100% today – a little jittery – but not depressed and even a tad less anxious! I took 150 of Setraline last night so that I stay on my plan with my doctor. Verdict – science experiment successful.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


We know that the toroidal flux , safety factor , and the in
the GS equation are related by the following equations:
|
(532) |
|
(533) |
Define:
|
(534) |
(In the Toray_ga code, the radial coordinate is defined as
|
(535) |
where is a constant factor. defined this way is of length
dimension, which is an effective geometry radius obtained by approximating the
flux surface as circular.)
I use Eq. (534) to define . Then we have
|
(536) |
|
(537) |
|
(538) |
|
(539) |
|
(540) |
Eq. (540) is used to transform between and .
Figure 36:
to be delted, Isosurface of
. The surface is
made of a family of contours of
, which are all magnetic
field lines. These field lines are traced by starting from a series of
points on the low-field-side midplane
at different radial
locations and the field lines are followed by a complete poloidal loop.
Magnetic field from EAST discharge<EMAIL_ADDRESS>|
yj
2018-03-09


25000
xforms-recalculate
xforms-revalidate
xforms-refresh
4.6.1.a2 event sequencing for range and upload controls
When the values in the controls are changed you must see a series of outputs for a "Value Change"
sequence (xforms-recalculate, xforms-revalidate, and xforms-refresh).
Reload the form to reset the event list.
range
upload (image)
Event fired:


--- layout: page title: About header-img: "img/about-bg.png" ---
My journey through Flatiron Software Engineering!


Wacom Cross-browser Signature Capture for Angular NG
Data included in the hash:
First name:
Last name:
Options
Use base-64 signature image
SigText:


A farmer is on one shore of a river and has with him a fox, a chicken, and a sack of grain. He has a boat that fits one object besides himself. In the presence of the farmer nothing gets eaten, but if left without the farmer, the fox will eat the chicken, and the chicken will eat the grain. How can the farmer get all three possessions across the river safely?


Google Cloud Text-to-Speech
{{language}}
{{gender}}
{{voice.name}} ({{voice.gender}})
Speaking Rate: {{speakingRateRange.value}}
0.25
4
Pitch: {{pitchRange.value}}
-20
20
Speak with Google Text-to-Speech
Web Speech API
{{voice.name}} ({{voice.lang}})
Speak with Web Speech API


First, we implement a program that adds numbers. Second, we discuss high-level goals of Rust.
Install Rust by following the instructions at https://rustup.rs/. Test your installation:
echo 'fn main() { println!("Hi"); }' > tmp.rs rustc tmp.rs ./tmp
The program should run and print ‘Hi’.
Now let's write a program that adds two numbers and prints their sum.
use std::io; use std::io::BufRead; fn main() { let stdin = io::stdin(); for line in stdin.lock().lines() { let s = line.expect("A"); let mut sum = 0; for w in s.split_whitespace() { let x : i32 = w.parse().expect("B"); sum += x; } println!("{}", sum); } }
The calls to expect
make this program fail hard if something goes wrong.
Rust has ownership. Bla. And bla.


Many GNSDK music applications retrieve Album cover art and display it to the end user. Album cover art is part of the enriched metadata set available through the Link module.
If cover art is unavailable for an album, you can use the default cover art symbol instead. See "Using a Default Image When Cover Art Is Missing".
This example shows how to access album cover art.
Sample Application: link_coverart/main.c
Application Steps:


|
ActiveTcl User Guide
|
||
concat - Join lists together
concat ?arg arg ...?
This command joins each of its arguments together with spaces after trimming leading and trailing spaces from each of them. If all the arguments are lists, this has the same effect as concatenating them into a single list. It permits any number of arguments.
If no args are supplied, the result is an empty string.
Copyright © 1993 The Regents of the University of California. Copyright © 1994-1996 Sun Microsystems, Inc. Copyright © 1995-1997 Roger E. Critchlow Jr.


This started the journey to create all of these. It started with a rain animation and then evolved into a simplistic game of filling the bucket. The bucket changes color once it is full and provides a wonderful experience.
This started with a demonstration of a triange that you could manipulate. You can drag each point left or right which left representing 0 and right representing 255 on the RGB scale. If you match the background, you win.
This experience is a delightful expression of your imagination. The flow allows for a peaceful experience and the colors calm your mind.
In this demonstration, you can manipulate the amplitude of the sine, cosine, and tangent waves. This artful display of mathematics is elegant and simple in a way that conveys the wonders of math.
This is a game where you create bubbles that float around and bounce. When they touch the get frozen in place to create a magical design that is new every time. Click to create bubbles, have fun.
In this low tech simultion, you can see how alleles can interact when you have two organisms combining DNA. The bright colors and simplistic shapes create an almost melancholy feel to the aesthetic of this app.


HI THERE,
THANKS FOR STOPPING BY. I AM SUBATHEESH, A FRONT END DEVELOPER WHO CARES ABOUT DESIGN.
I AM LIVING IN CHENNAI, INDIA.


Filtering Vendors by Company Name
How to filter vendor records by the first letter of the company name using the Vendors module.
- Navigate to Admin > Advanced Settings > Vendors.
- Click on the linked [letter of the alphabet] that corresponds with the first letter of required vendor name (company name). This displays the first ten (10) matching records listed alphabetically by name. If there are more than ten matching records, then the Pager Control is displayed allowing you to access the other records.
Filtering Vendors by Name


-- from the film --
This film is about women and guns.
It is also about Jack. Jack played by Gary Oldman (DRACULA, SID AND NANCY, JFK and many more fine performances) is a dirty cop. Jack is a cop with dreams: dreams of money, power and women.
In an erotic thriller, the people talk like we wished we talked, like we wish a conversation out of thin air could happen--but never does. This does not mean that ROMEO IS BLEEDING is a bad film. Peter Medak (THE RULING CLASS, A DAY IN THE DEATH OF JOE EGG, THE SNOW QUEEN and an extensive list of other credits) has crafted one of the new film noir pieces: not a black comedy, but more of a feeling of low lifes.
I have commented on the work of Mark Isham in film scores before. Here, I'm afraid the Mark Isham style has become ubiquitous, over used, and quite frankly--distracting. While a sample of the Isham technique in a film like TROUBLE IN MIND, a technique which uses trumpet solos to set mood or the cool jazz knockoffs created for a picture like QUIZ SHOW are interesting, these devices do not require endless repetition. So here in ROMEO IS BLEEDING, Mr. Isham's work is *all* low key with not much relief.
It's a strange story, ROMEO is. It takes you through turns which are unexpected and provides just enough action and kink to keep you watching: take for instance the "with, or without" scene. You'll know it when you see it.
Written and produced by Hilary Henkin, here is another example of women as artists in the film world and what they do there.
The story concerns Jack as a cop on the take and his involvement with the mob, money and ... Mona (Lena Olin.) As trite as this may sound and in comparison to what Quentin Tarantino (PULP FICTION) is doing, Peter Medak has given us a thriller with an edge.
It's about women and guns, like I said. Mona is sublimely evil. You see her face looking out at you on the rental box. What you *don't* see is her smile.
Lena Olin is extraordinary in ROMEO IS BLEEDING.
With all that trumpet skittering in the background, it takes a bit of effort to stay with ROMEO. But it is a picture with those sorts of arresting images that this writer watches films to see. I will leave you with this: one of those images from Medak's THE RULING CLASS which was made in the early 70's stays with me still.
Oh yeah, that bit about "the hole" up there. Well, like I said, Medak's images can be very powerful indeed.
* * * *
ROMEO IS BLEEDING is available as a video release at many outlets.
-- lon
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Lecture-21: Introduction to Natural Language Processing¶
###Sentiment Analysis
What is sentiment analysis?¶
Take a few movie reviews as examples (taken from Prof. Jurafsky’s lecture notes):
unbelievably disappointing
Full of zany characters and richly applied satire, and some great plot twists
This is the greatest screwball comedy ever filmed
It was pathetic. The worst part about it was the boxing scenes.
Positive: 2, 3 Negative: 1, 4
Google shopping; Bing shopping; Twitter sentiment about airline customer service
Sentiment analysis is the detection of attitudes “enduring, affectively colored beliefs, dispositions towards objects or persons”¶
Holder (source) of attitude
Target (aspect) of attitude
Type of attitude
From a set of types
Like, love, hate, value, desire, etc.
Or (more commonly) simple weighted polarity:
positive, negative, neutral, together with strength
Text containing the attitude
Sentence or entire document
# We will use vader sentiment analysis here considering short text phrases
!pip install vaderSentiment
import vaderSentiment
from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
Requirement already satisfied: vaderSentiment in /usr/local/lib/python3.6/dist-packages (3.2.1)
def measure_sentiment(textval):
sentObj = SentimentIntensityAnalyzer()
sentimentvals = sentObj.polarity_scores(textval)
print(sentimentvals)
if sentimentvals['compound']>=0.5:
return("Positive")
elif sentimentvals['compound']<= -0.5:
return("Negative")
else:
return("Neutral")
text1 = "I love the beautiful weather today. It is absolutely pleasant."
text2 = "Unbelievably disappointing"
text3 = "Full of zany characters and richly applied satire, and some great plot twists"
text4 = "This is the greatest screwball comedy ever filmed"
text5 = "This is the greatest screwball comedy ever filmed"
text6 = "It was pathetic. The worst part about it was the boxing scenes."
#print(measure_sentiment(text1))
#print(measure_sentiment(text2))
#print(measure_sentiment(text3))
#print(measure_sentiment(text4))
#print(measure_sentiment(text5))
print(measure_sentiment(text6))
Topic Modeling – Latent Dirichlet Allocation¶
Topic model is a type of statistical model to discover the abstract latent topics present in a given set of documents.¶
Topic modeling allows us to discover the latent semantic structures in a text corpus through learning probabilistic distributions over words present in the document.¶
It is a generative statistical model that allows different classes of observations to be explained by groups of unobserved data similar to clustering.¶
It assumes that documents are probability distributions over topics and topics are probability distributions over words.
Latent Dirichlet Allocation (LDA) was proposed by Blei et al. in 2003 LDA assumes that the document is a mixture of topics where each topic is a mixture of words assigned to a topic where the topic distribution is assumed to have a dirichlet prior.¶
We consider the Python package “gensim”to perform topic modeling over the online reviews in our notebook.¶
#Load the file first
!wget https://www.dropbox.com/s/o8lxi6yrezmt5em/reviews.txt
--2019-11-07 22:03:45-- https://www.dropbox.com/s/o8lxi6yrezmt5em/reviews.txt
Resolving www.dropbox.com (www.dropbox.com)... <IP_ADDRESS>, 2620:100:6021:1::a27d:4101
Connecting to www.dropbox.com (www.dropbox.com)|<IP_ADDRESS>|:443... connected.
HTTP request sent, awaiting response... 301 Moved Permanently
Location: /s/raw/o8lxi6yrezmt5em/reviews.txt [following]
--2019-11-07 22:03:45-- https://www.dropbox.com/s/raw/o8lxi6yrezmt5em/reviews.txt
Reusing existing connection to www.dropbox.com:443.
HTTP request sent, awaiting response... 302 Found
Location: https://uca49837b6228b70be8d77e61bc1.dl.dropboxusercontent.com/cd/0/inline/Ar_TmvTj6aB8uANEqIJKbxZu2qjWL2AIrR9DGtrYalyog06i9GD2Hv6zuVGLnpHoj7Tp-SDZUq1NmgtzS1w9p-RfSoXlIdmrOad1piGku8eWddl-nWPXPcD6-6dTI-0tF4g/file# [following]
--2019-11-07 22:03:46-- https://uca49837b6228b70be8d77e61bc1.dl.dropboxusercontent.com/cd/0/inline/Ar_TmvTj6aB8uANEqIJKbxZu2qjWL2AIrR9DGtrYalyog06i9GD2Hv6zuVGLnpHoj7Tp-SDZUq1NmgtzS1w9p-RfSoXlIdmrOad1piGku8eWddl-nWPXPcD6-6dTI-0tF4g/file
Resolving uca49837b6228b70be8d77e61bc1.dl.dropboxusercontent.com (uca49837b6228b70be8d77e61bc1.dl.dropboxusercontent.com)... <IP_ADDRESS>, 2620:100:6021:6::a27d:4106
Connecting to uca49837b6228b70be8d77e61bc1.dl.dropboxusercontent.com (uca49837b6228b70be8d77e61bc1.dl.dropboxusercontent.com)|<IP_ADDRESS>|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 3851 (3.8K) [text/plain]
Saving to: ‘reviews.txt’
reviews.txt 100%[===================>] 3.76K --.-KB/s in 0s
2019-11-07 22:03:46 (388 MB/s) - ‘reviews.txt’ saved [3851/3851]
import gensim
from gensim import corpora
from gensim.utils import simple_preprocess
from gensim.models import CoherenceModel
import nltk
from nltk.corpus import stopwords
#from nltk.tokenize import word_tokenize
from nltk.tokenize import sent_tokenize
nltk.download('punkt')
nltk.download('averaged_perceptron_tagger')
nltk.download('stopwords')
[nltk_data] Downloading package punkt to /root/nltk_data...
[nltk_data] Unzipping tokenizers/punkt.zip.
[nltk_data] Downloading package averaged_perceptron_tagger to
[nltk_data] /root/nltk_data...
[nltk_data] Unzipping taggers/averaged_perceptron_tagger.zip.
[nltk_data] Downloading package stopwords to /root/nltk_data...
[nltk_data] Package stopwords is already up-to-date!
True
def sent_to_words(sentences):
for sentence in sentences:
yield(gensim.utils.simple_preprocess(str(sentence), deacc=True)) # deacc=True removes punctuations
def remove_stopwords(texts):
return [[word for word in simple_preprocess(str(doc)) if word not in stop_words] for doc in texts]
f=open('reviews.txt')
text = f.read()
stop_words = stopwords.words('english')
sentences=sent_tokenize(text)
data_words = list(sent_to_words(sentences))
data_words_nostops = remove_stopwords(data_words)
dictionary = corpora.Dictionary(data_words_nostops)
corpus = [dictionary.doc2bow(text) for text in data_words_nostops]
NUM_TOPICS = 2
ldamodel = gensim.models.ldamodel.LdaModel(corpus, num_topics = NUM_TOPICS, id2word=dictionary, passes=15)
print("ldamodel is built")
#ldamodel.save('model5.gensim')
topics = ldamodel.print_topics(num_words=6)
for topic in topics:
print(topic)
Word Embeddings¶
model = gensim.models.Word2Vec(data_words_nostops, min_count=1)
#print(model.most_similar("fish", topn=10))
print(model.most_similar("bar", topn=10))
[('actual', 0.24399515986442566), ('blue', 0.23981201648712158), ('burgers', 0.23935973644256592), ('fish', 0.22530747950077057), ('hole', 0.2182062566280365), ('bit', 0.20433926582336426), ('may', 0.20417353510856628), ('little', 0.1970674693584442), ('refills', 0.19307652115821838), ('sign', 0.19287416338920593)]
/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:4: DeprecationWarning: Call to deprecated `most_similar` (Method will be removed in 4.0.0, use self.wv.most_similar() instead). after removing the cwd from sys.path. /usr/local/lib/python3.6/dist-packages/gensim/matutils.py:737: FutureWarning: Conversion of the second argument of issubdtype from `int` to `np.signedinteger` is deprecated. In future, it will be treated as `np.int64 == np.dtype(int).type`. if np.issubdtype(vec.dtype, np.int):
Bag of words model and TF-IDF computations¶
tf-idf stands for Term frequency-inverse document frequency. The tf-idf weight is a weight often used in information retrieval and text mining. Variations of the tf-idf weighting scheme are often used by search engines in scoring and ranking a document’s relevance given a query.¶
This weight is a statistical measure used to evaluate how important a word is to a document in a collection or corpus. The importance increases proportionally to the number of times a word appears in the document but is offset by the frequency of the word in the corpus (data-set).¶
STEP-1: Normalized Term Frequency (tf) – tf(t, d) = N(t, d) / ||D|| wherein, ||D|| = Total number of term in the document
tf(t, d) = term frequency for a term t in document d.
N(t, d) = number of times a term t occurs in document d
STEP-2: Inverse Document Frequency (idf) – idf(t) = N/ df(t) = N/N(t)
idf(t) = log(N/ df(t))
idf(pizza) = log(Total Number Of Documents / Number Of Documents with term pizza in it)
STEP-3: tf-idf Scoring
tf-idf(t, d) = tf(t, d)* idf(t, d)
Example:
Consider a document containing 100 words wherein the word kitty appears 3 times. The term frequency (i.e., tf) for kitty is then (3 / 100) = 0.03. Now, assume we have 10 million documents and the word kitty appears in one thousand of these. Then, the inverse document frequency (i.e., idf) is calculated as log(10,000,000 / 1,000) = 4. Thus, the Tf-idf weight is the product of these quantities: 0.03 * 4 = 0.12.
Doc1: I love delicious pizza Doc2: Pizza is delicious Doc3: Kitties love me
Class exercise¶
Data files we use for this exercise are here: https://www.dropbox.com/s/cvafrg25ljde5gr/Lecture21_exercise_1.txt?dl=0
https://www.dropbox.com/s/9lqnclea9bs9cdv/lecture21_exercise_2.txt?dl=0


JSON Schema V4
May only be defined when "items" is defined, and is a tuple of JSONSchemas.
This provides a definition for additional items in an array instance when tuple definitions of the items is provided. This can be false to indicate additional items in the array are not allowed, or it can be a schema that defines the schema of the additional items.
This attribute defines a schema for all properties that are not explicitly defined in an object type definition. If specified, the value MUST be a schema or a boolean. If false is provided, no additional properties are allowed beyond the properties defined in the schema. The default value is an empty schema which allows any value for additional properties.
This attribute is a string that provides a full description of the of purpose the instance property.
This provides an enumeration of all possible values that are valid for the instance property. This MUST be an array, and each item in the array represents a possible value for the instance value. If this attribute is defined, the instance value MUST be one of the values in the array in order for the schema to be valid.
The value of this property MUST be another schema which will provide a base schema which the current schema will inherit from. The inheritance rules are such that any instance that is valid according to the current schema MUST be valid according to the referenced schema. This MAY also be an array, in which case, the instance MUST be valid for all the schemas in the array. A schema that extends another schema MAY define additional attributes, constrain existing attributes, or add other constraints.
Conceptually, the behavior of extends can be seen as validating an instance against all constraints in the extending schema as well as the extended schema(s).
This attribute defines the allowed items in an instance array, and MUST be a schema or an array of schemas. The default value is an empty schema which allows any value for items in the instance array.
When this attribute value is a schema and the instance value is an array, then all the items in the array MUST be valid according to the schema.
When this attribute value is an array of schemas and the instance value is an array, each position in the instance array MUST conform to the schema in the corresponding position for this array. This called tuple typing. When tuple typing is used, additional items are allowed, disallowed, or constrained by the "additionalItems" (Section 5.6) attribute using the same rules as "additionalProperties" (Section 5.4) for objects.
This attribute is an object that defines the schema for a set of property names of an object instance. The name of each property of this attribute's object is a regular expression pattern in the ECMA 262/Perl 5 format, while the value is a schema. If the pattern matches the name of a property on the instance object, the value of the instance's property MUST be valid against the pattern name's schema value.
This attribute is an object with property definitions that define the valid values of instance object property values. When the instance value is an object, the property values of the instance object MUST conform to the property definitions in this object. In this object, each property definition's value MUST be a schema, and the property's name MUST be the name of the instance property that it defines. The instance property value MUST be valid according to the schema from the property definition. Properties are considered unordered, the order of the instance properties MAY be in any order.
This attribute indicates if the instance must have a value, and not be undefined. This is false by default, making the instance optional.
This attribute is a string that provides a short description of the instance property.
A single type, or a union of simple types
Generated using TypeDoc
JSON Schema V4
https://tools.ietf.org/html/draft-zyp-json-schema-04


Statutory guidance
Statutory guidance on local authorities' and regional schools commissioners' responsibilities relating to schools and PRUs causing concern.
Ref: DFE-00080-2016 PDF , 568KB , 45 pages
Ref: DFE-00153-2016 PDF , 123KB , 2 pages
This guidance describes how:
PRUs are places that provide education for children who can’t go to a mainstream school.
If you’re a local authority you:
You should also be aware of how this guidance affects your school if you’re part of a:
The section on ‘coasting’ schools is not applicable until we publish the 2016 school performance tables.
You can find a definition of ‘coasting’ in the government response to the consultation on intervening in failing, underperforming and coasting schools .
Statutory guidance sets out what schools and local authorities must do to comply with the law. You should follow the guidance unless you have a very good reason not to.
Published: 2 May 2014
Updated: 27 June 2016


Mike is a talented Developer with demonstrated ability to complete high-end projects in deadline oriented environments. He's adept at successfully designing web sites to enhance user satifaction and retention time and streamline navigation. Mike also has the ability to effectively communicate with a wide range of clients and team members.
Skills and ProjectsProficient with frontend web development tools and frameworks such as HTML5, CSS, and Bootstrap.
Knowledgeable of backend development tools for data manipulation and data storage. Skilled in utilizing open-source SQL database solutions such as MySQL. Able to employ Firebase to shorten development time.
Able to collaborate efficiently with team members on source coding projects utilizing Github.
Ready to start your next project with us? That's great! Give us a call or send us an email and we will get back to you as soon as possible!


A gaussian copula based procedure for generating samples from discrete random variables with prescribed correlation matrix and marginal distributions.
| Version: | 1.4.0 |
| Depends: | mvtnorm, Matrix, MASS, stats |
| Published: | 2015-09-12 |
| Author: | Alessandro Barbiero, Pier Alda Ferrari |
| Maintainer: | Alessandro Barbiero <alessandro.barbiero at unimi.it> |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| NeedsCompilation: | no |
| In views: | Distributions |
| CRAN checks: | GenOrd results |
| Reference manual: | GenOrd.pdf |
| Package source: | GenOrd_1.4.0.tar.gz |
| Windows binaries: | r-devel: GenOrd_1.4.0.zip, r-release: GenOrd_1.4.0.zip, r-oldrel: GenOrd_1.4.0.zip |
| OS X binaries: | r-release: GenOrd_1.4.0.tgz, r-oldrel: GenOrd_1.4.0.tgz |
| Old sources: | GenOrd archive |
| Reverse depends: | BinOrdNonNor, OrdNor, PoisBinOrd, PoisBinOrdNonNor, PoisBinOrdNor |
| Reverse imports: | bdlp, CorrToolBox, SimMultiCorrData |
Please use the canonical form https://CRAN.R-project.org/package=GenOrd to link to this page.


{% extends 'collect/base.html' %} {% block title %}TweetSet - Build your corpus of tweets{% endblock %} {% block content %}
TweetSet is a web application that was created to simplify collecting Tweets into corpora and datasets. You can collect Tweets based on keywords, user ids, and geographic locations. You can then download your corpora in several different formats that you can use in your research or work.
{% if user.is_authenticated %}Go to dashboard{% else %} Log in with Twitter{% endif %}


new ExternalScriptExample()
A small library of methods used as an example for consuming external
JavaScript in a BIRT Report.
For more information see Deploying external JavaScript.
destroy Destroying a Widget.
- Source:
Example
var myExampleObj = new ExternalScriptExample();
Methods
helloWorld()
Engineering 101, announce loudly to the world that we're here
- Source:
Example
var myExampleObj = new ExternalScriptExample();
myExampleObj.helloWorld(); // Alert's with 'Hello, World!'
loadExternalScript(script, success, error)
A method that takes either a single string or an array of strings. These
strings should be paths to other JavaScript files. This method will load
the JavaScript resources and either callback to success or error depending
on the status.
Parameters:
| Name | Type | Description |
|---|---|---|
script |
string | The JavaScript resource to load |
success |
function | The success callback |
error |
function | The error callback |
- Source:
Example
var myExampleObj = new ExternalScriptExample();
myExampleObj.helloWorld('resources/myOtherLibrary.js', function() {
console.log('Library loaded');
},
function() {
console.log('Library load failed!');
})); // Alert's with 'Hello, World!'
sayHello(name)
Engineering 102, announce to a specific person we're here via
a single parameter
Parameters:
| Name | Type | Description |
|---|---|---|
name |
string | The name of the person you'd like to say hello to. |
- Source:
Example
var myExampleObj = new ExternalScriptExample();
myExampleObj.sayHello('BIRT'); // Alert's with 'Hello, BIRT'


Weight Converter (kg to pounds)
Enter the weight value in kilograms :
Kilograms
Your Weight in Pounds is :


Niagara Group обновила свой сайт
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.
Contrary to popular belief, Lorem Ipsum is not simply random text. It has roots in a piece of classical Latin literature from 45 BC, making it over 2000 years old.Richard McClintock, a Latin professor at Hampden-Sydney College in Virginia, looked up one of the more obscure Latin words, consectetur, from a Lorem Ipsum passage, and going through the cites of the word in classical literature, discovered the undoubtable source.
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.
Where does it come from?
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.
- There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form, by injected humour, or randomised words which don't look even slightly believable.
- If you are going to use a passage of Lorem Ipsum, you need to be sure there isn't anything embarrassing hidden in the middle of text.
- All the Lorem Ipsum generators on the Internet tend to repeat predefined chunks as necessary, making this the first true generator on the Internet.


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The Basketball Gif Hub
Basketball
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+++ title = "Bolivian chocolate" slug = "bolivian-chocolate" date = 2007-07-03T13:00:00+10:00 tags = ["mad-bolivia", "crazy-consumptions", "yuck"] locations = ["bolivia/laguna-verde"] draft = false summary = """
Bought this bar of "cacao puro" chocolate at a little market in Potosí, and I decided to crack it open this morning, and to give it a try. Most disgusting chocolate I've ever had. I don't think there's much in it, except raw cacao ground into a powder, and lots of rough sugar. Everyone in the group tried it, and found it equally sickening. We couldn't finish it, so we gave the rest of it to our guide. Keep away from traditional Bolivian chocolate!
""" +++Bought this bar of "cacao puro" chocolate at a little market in Potosí, and I decided to crack it open this morning, and to give it a try. Most disgusting chocolate I've ever had. I don't think there's much in it, except raw cacao ground into a powder, and lots of rough sugar. Everyone in the group tried it, and found it equally sickening. We couldn't finish it, so we gave the rest of it to our guide. Keep away from traditional Bolivian chocolate!
{{< galleryphoto "2007-07-03-13-00-00--disgusting-bolivian-chocolate-bar.jpg" >}}


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The Internet in 2013
-
The walled, placid exteriors of Facebook and Google
- Massive datacenters host petabytes of personal data
- Always-on services, resold to the lowest bidder
- A billion Xen VMs have been deployed out there
- The wild west network edge where we live
- Botnets grow to millions of nodes and attack physical infrastructure
- Wifi, 3G, smartphone PCs in your pocket
- The next trillion VMs will be ARMs...
- Let's think about how to build this new Internet...


§264-86 Requirement as to screening. The director of transportation may promulgate rules and regulations governing the location, planting, construction, and maintenance, including the materials used in the screening required by this part. [L 1966, c 46, pt of §2; HRS §264-86]
Cross References
Rulemaking, see chapter 91.


Mackey
V3
A C++ library for computing RO(G) homology
Class Hierarchy
Go to the textual class hierarchy
Generated by
1.8.18


| addNamespace |
Adds a namespace declaration to the node. Returns the XML object itself. |
| appendChild |
Appends the given XML to this XML as a child. Returns the XML object itself. |
| attribute |
Returns a list containing all attribute elements matching the given name. |
| attributes |
Returns a list containing all attribute elements. |
| child |
Returns a list containing all children of this XML matching the given element name. |
| childIndex |
Returns a number representing the ordinal position of this XML object within the context of its parent. |
| children |
Returns an XML object containing all the properties of this XML object in order. |
| comments |
Returns an XML object containing the properties of this XML object that represent XML comments. |
| contains |
Checks if this XML object contains the given XML object. |
| copy |
Creates a copy of this XML object. |
| descendants |
Returns all the XML-valued descendants of this XML object with the given name. |
| elements |
Returns a list of XML children that are elements with a given name, or all children that are XML elements. |
| hasComplexContent |
Reports whether this XML object contains complex content. |
| hasSimpleContent |
Reports whether this XML object contains simple content. |
| inScopeNamespaces |
Returns an array of Namespace objects mirroring the current list of valid namespaces at this element. |
| insertChildAfter |
Inserts the given child2 after the given child1 in this XML object and returns this XML object. |
| insertChildBefore |
Inserts the given child2 before the given child1 in this XML object and returns this XML object. |
| length |
Returns the number of elements contained in an XML list. If this XML object is not a list, returns 1. |
| localName |
Returns the local name of this XML object. |
| name |
Returns a QName object containing the URI and the local name of the element. |
| namespace |
Returns a Namespace object containing the namespace URI of the current element. |
| namespaceDeclarations |
Returns an array containing all namespace declarations of this XML object. |
| nodeKind |
Returns the type of this XML object as one of the strings “element”, “attribute”, “comment”, “processing-instruction”, or “text”. |
| normalize |
Puts all text nodes in this and all descendant XML objects into a normal form by merging adjacent text nodes and eliminating empty text nodes. Returns this XML object. |
| parent |
Returns the parent object of this XML object. |
| prependChild |
Inserts a given child into this object before its existing XML properties, and returns this XML object. |
| processingInstructions |
Returns a list of preprocessing instructions. |
| removeNamespace |
Removes the given namespace from this XML, and returns this XML. |
| replace |
Replaces the value of specified XML properties of this XML object returns this XML object. |
| setChildren |
Replaces all of the XML-valued properties in this object with a new value, and returns this XML object. |
| setLocalName |
Replaces the local name of this XML object with a string constructed from the given name |
| setName |
Replaces the name of this XML object with the given QName object. |
| setNamespace |
Sets the namespace for this XML element. |
| text |
Returns an XML list containing all XML properties of this XML object that represent XML text nodes. |
| toString |
Returns the string representation of this object. |
| toXMLString |
Returns an XML-encoded string representation of this XML object. |
| xpath |
Evaluates the given XPath expression in accordance with the W3C XPath recommendation, using this XML object as the context node. |


Polymer Redux Using Selectors
You have [[friends.length]] friend(s).
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Man convicted of murdering Essex backpacker in New Zealand
by Tom PotterA man has been found guilty of murdering Essex backpacker Grace Millane in New Zealand.
The 27-year-old killer was convicted by unanimous verdict after just five hours of deliberation at Auckland High Court.
Ms Millane's was strangled by a man she met on a dating site - and spent several hours drinking with in the centre of Auckland on December 1, 2018.
They returned to his apartment and Ms Millane was killed either that night or in the early hours of the next morning - on her 22nd birthday.
The man, whose name is subject to a suppression order, shoved her body inside a suitcase before burying her in a forested area outside Auckland.
Ms Millane, from Wickford, was assumed missing and her father, David Millane, flew to New Zealand as local authorities spent a week searching until her body was found by police.
The defence had claimed the death was accidental and occurred during rough sexual intercourse.
Justice Simon Moore told jury members before they delivered their verdict that they had to be certain the man had murderous intent when he put his hands on Ms Millane's neck during sexual intercourse to convict him of murder, the New Zealand Herald reported.
During the trial the jurors heard from forensic experts who examined the accused's apartment for blood stains as well as Ms Millane's body after her death.
They were also shown footage of the woman and the defendant drinking at various bars throughout Auckland and kissing before they returned to his apartment.


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Specialized in Management of Disaster
| Resources | Quantity |
|---|---|
| Food | {{food}} |
| Water | {{water}} |
| First Aid | {{firstaid}} |
| Rescue Tool | {{rescuetool}} |
| Fire Engine | {{fireengine}} |
| JCB | {{jcb}} |
| Ambulance | {{ambulance}} |
| Transport(Goods) | {{tgoods}} |
| Transport(Human) | {{thuman}} |


Seneca plugins enable you to build awesome microservices, incredibly fast. Some plugins are maintained in-house, while others are provided by the community.
On this page, we provide an npm
link and other important information for any plugins
we find or publish ourselves, so you only need to look in one place.
Disclaimer: seneca-maintain status badge does not include the checks ‘check_default’ and ‘content_gitignore’.
Click to see further description and plugin list
Caching solutions for optimised data storage and retrieval
With these plugins, developers gain access to a variety of caching functionalities to optimize data storage and retrieval, reducing the need to repeatedly fetch data from underlying databases or external services. With these plugins, you can cater to specific scenarios - including general-purpose caching, testing and debugging, and entity-specific caching. As well as this, certain plugins offer integration with popular caching technologies, enabling developers to leverage the power of Memcached or Redis for high-performance caching needs.
Simple Object-Relation Mapping for entity management
The entity family is a collection of plugins designed to enhance entity management capabilities within Seneca applications. These plugins offer a range of functionalities such as caching, dependency management, history tracking, random tagging, and utility functions. By integrating these plugins into your application, developers gain access to powerful tools for creating, manipulating, and managing entities. These tools streamline the process of working with entities by making use of simple Object-Relation mapping.
Creation of gateways for efficient communication between microservices
These plugins offer a range of functionalities for implementing gateway architecture. Developers can establish efficient communication channels between microservices, allowing requests from clients to be seamlessly routed to the appropriate services. The developer can manage user authentication, ensuring secure and controlled access to services. Additionally, there are plugins for popular frameworks such as Express.js and AWS Lambda, enabling seamless integration with existing infrastructure. The gateway plugins equip developers with the tools necessary to build robust gateways that enhance the communication and coordination capabilities of microservices within their Seneca applications.
Capture and manage application logs
This family enables developers to capture, manage, and analyze application logs within Seneca applications. These plugins offer flexibility in choosing different logging strategies and integration options, allowing developers to tailor their logging solutions to meet specific application requirements. These plugins enable the capturing and managing of application logs, as well as facilitating debugging, performance monitoring, and auditing. They allow developers to analyze and gain insights from application logs efficiently.
Executing and testing message-driven workflows
The message family provides tools for implementing and testing message-driven workflows within Seneca applications. Developers can build highly decoupled and scalable systems where components communicate asynchronously. This family provides the necessary infrastructure for handling message routing, flow control, and integration among Seneca services. It also enables developers to write test scenarios and assertions to verify the correct behavior of message passing, ensuring the integrity and reliability of their systems.
Seamless integration with third-party APIs and SDKs
This family offers plugins that cater to a wide range of third-party services, allowing developers to seamlessly integrate and interact with these parties within their Seneca applications. By incorporating a provider plugin, developers can extend the capabilities of their own applications by leveraging the power of a third-party ecosystem. These plugins simplify the integration process, eliminating the need for manual API integrations and providing consistent and standardized interfaces through which to interact with these third parties. Developers can make use of external applications to enhance productivity, automate processes, and leverage different features within their Seneca applications. The provider family opens up a world of possibilities for building powerful and feature-rich applications.
Service registration, discovery, and management in distributed systems
This family offers essential functionality for service registration, discovery, and management in distributed systems using the Seneca framework. This enables developers to register their services with a central registry or service discovery mechanism, facilitating communication and interaction between different components of a distributed system. They provide a standardized approach for locating and connecting to services, ensuring seamless integration and interoperability. By incorporating these plugins, developers can easily manage and scale their distributed applications.
Integrate search functionality
This family enables developers to incorporate search functionality into Seneca applications using different search engines. They enable efficient indexing, querying, and retrieval of data, allowing developers to implement robust search capabilities within their Seneca applications. Developers can enhance their applications with powerful search capabilities, enabling efficient data retrieval, filtering, and discovery.
Data storage and retrieval
Using this family, developers can choose which database and storage technology they want to use within their Seneca application. This means they can leverage the flexibility and scalability of different technologies while working within the Seneca framework. These plugins provide consistent and convenient interfaces for data storage and retrieval, allowing developers to focus on their application logic rather than dealing with low-level database interactions. Whether developers need a NoSQL document database, a relational database, an in-memory store, or a file-based storage solution, this family offers a wide range of options. This flexibility enables developers to choose the most suitable storage technology for their application's specific needs, ensuring optimal performance and scalability.
Performance reporting and data monitoring
This family enables developers to gather and report performance and monitoring data within Seneca applications. They allow developers to monitor and analyze the behavior, performance, and health of their services. They integrate with popular telemetry platforms and services, providing options for data visualization, alerting, and analysis. With these plugins, developers can gain valuable insights into the performance and behavior of their Seneca services.
Testing and quality assurance
This family provides a range of plugins specifically designed for testing and quality assurance purposes in Seneca applications. Each plugin serves a different testing purpose, including cache testing, error handling testing, store testing, transport testing, and message testing, among others. These plugins offer utilities, helpers, and testing frameworks to facilitate the testing process and ensure the reliability and correctness of your application. These plugins provide a standardized and streamlined approach to writing test cases, enabling developers to assess the performance, correctness, and reliability of their codebase.
Communication and messaging between distributed components
This family enables seamless communication and messaging between distributed components or microservices within Seneca applications. These plugins facilitate reliable and efficient message passing, enabling components to exchange data, invoke actions, and coordinate workflows. Developers can build scalable and decoupled architectures, where different components can communicate asynchronously. This asynchronous nature of the messages enhances the flexibility, modularity, and resilience of the overall system architecture.
Authentication, authorisation, and telemetry for the user
This family can handle various user-related functionalities within Seneca applications, such as authentication, authorization, and telemetry. Developers can streamline user management processes and enhance application security. This allows developers to focus on building user-centric features and ensuring a smooth user experience.
Various usecases and functionalities
These plugins don't fit into any predefined family. Click through to their README's for further information.
Integration with popular web frameworks
This family offers adapters for seamless integration of popular web frameworks, allowing developers to build web applications and APIs efficiently. Developers can leverage the capabilities of well-established web frameworks such as Connect, Express, Hapi, and Koa, while benefitting from Seneca's powerful microservice capabilities. These plugins seamlessly combine the power of Seneca with the extensive ecosystem and features offered by popular web frameworks, simplifying the design and development of modular, scalable, and maintainable web architectures. This enables the development of complex, distributed systems without the hassle.
Caching solutions for optimised data storage and retrieval
With these plugins, developers gain access to a variety of caching functionalities to optimize data storage and retrieval, reducing the need to repeatedly fetch data from underlying databases or external services. With these plugins, you can cater to specific scenarios - including general-purpose caching, testing and debugging, and entity-specific caching. As well as this, certain plugins offer integration with popular caching technologies, enabling developers to leverage the power of Memcached or Redis for high-performance caching needs.
In-memory caching plugin for seneca
Standard test cases for seneca caches
Versioned caching plugin for seneca
memcached plugin for seneca
Redis caching plugin for seneca
Simple Object-Relation Mapping for entity management
The entity family is a collection of plugins designed to enhance entity management capabilities within Seneca applications. These plugins offer a range of functionalities such as caching, dependency management, history tracking, random tagging, and utility functions. By integrating these plugins into your application, developers gain access to powerful tools for creating, manipulating, and managing entities. These tools streamline the process of working with entities by making use of simple Object-Relation mapping.
Entity plugin for seneca
Versioned caching plugin for seneca
Adds a random tag to entities on each save, allowing for various caching strategies.
Collection of optional utilities for Seneca entities.
Creation of gateways for efficient communication between microservices
These plugins offer a range of functionalities for implementing gateway architecture. Developers can establish efficient communication channels between microservices, allowing requests from clients to be seamlessly routed to the appropriate services. The developer can manage user authentication, ensuring secure and controlled access to services. Additionally, there are plugins for popular frameworks such as Express.js and AWS Lambda, enabling seamless integration with existing infrastructure. The gateway plugins equip developers with the tools necessary to build robust gateways that enhance the communication and coordination capabilities of microservices within their Seneca applications.
Handle incoming messages within other frameworks.
Authentication support for @seneca/gateway plugins
Handle incoming messages within express, defining an endpoint that accepts Seneca messages.
Provide authentication for the @seneca/gateway-express plugin.
Handle incoming messages within AWS Lambdas.
Capture and manage application logs
This family enables developers to capture, manage, and analyze application logs within Seneca applications. These plugins offer flexibility in choosing different logging strategies and integration options, allowing developers to tailor their logging solutions to meet specific application requirements. These plugins enable the capturing and managing of application logs, as well as facilitating debugging, performance monitoring, and auditing. They allow developers to analyze and gain insights from application logs efficiently.
Seneca Logentries Logger
Pino logger plugin for Seneca
Executing and testing message-driven workflows
The message family provides tools for implementing and testing message-driven workflows within Seneca applications. Developers can build highly decoupled and scalable systems where components communicate asynchronously. This family provides the necessary infrastructure for handling message routing, flow control, and integration among Seneca services. It also enables developers to write test scenarios and assertions to verify the correct behavior of message passing, ensuring the integrity and reliability of their systems.
Structured testing of seneca plugin messages.
Seamless integration with third-party APIs and SDKs
This family offers plugins that cater to a wide range of third-party services, allowing developers to seamlessly integrate and interact with these parties within their Seneca applications. By incorporating a provider plugin, developers can extend the capabilities of their own applications by leveraging the power of a third-party ecosystem. These plugins simplify the integration process, eliminating the need for manual API integrations and providing consistent and standardized interfaces through which to interact with these third parties. Developers can make use of external applications to enhance productivity, automate processes, and leverage different features within their Seneca applications. The provider family opens up a world of possibilities for building powerful and feature-rich applications.
Seneca entity provider for the Branchio API.
Handle incoming messages within other frameworks.
Seneca entity provider for the Evervault API.
Handle incoming messages within other frameworks.
Seneca entity provider for the Mixpanel API.
Handle incoming messages within other frameworks.
Seneca entity provider for the Tangocard API.
Seneca entity provider for the Trello API.
Seneca entity provider for the Vercel API.
Service registration, discovery, and management in distributed systems
This family offers essential functionality for service registration, discovery, and management in distributed systems using the Seneca framework. This enables developers to register their services with a central registry or service discovery mechanism, facilitating communication and interaction between different components of a distributed system. They provide a standardized approach for locating and connecting to services, ensuring seamless integration and interoperability. By incorporating these plugins, developers can easily manage and scale their distributed applications.
Seneca key value registry for Consul.
Seneca service registry (simplistic single instance).
Integrate search functionality
This family enables developers to incorporate search functionality into Seneca applications using different search engines. They enable efficient indexing, querying, and retrieval of data, allowing developers to implement robust search capabilities within their Seneca applications. Developers can enhance their applications with powerful search capabilities, enabling efficient data retrieval, filtering, and discovery.
Data storage and retrieval
Using this family, developers can choose which database and storage technology they want to use within their Seneca application. This means they can leverage the flexibility and scalability of different technologies while working within the Seneca framework. These plugins provide consistent and convenient interfaces for data storage and retrieval, allowing developers to focus on their application logic rather than dealing with low-level database interactions. Whether developers need a NoSQL document database, a relational database, an in-memory store, or a file-based storage solution, this family offers a wide range of options. This flexibility enables developers to choose the most suitable storage technology for their application's specific needs, ensuring optimal performance and scalability.
Seneca data store plugin that uses plain JSON files
Seneca in-memory data storage plugin.
Seneca data store plugin for MongoDB
MySQL database layer for Seneca framework
Seneca data store plugin for PostgreSQL
Redis storage layer for Seneca framework
SQLite database layer for Seneca framework
Performance reporting and data monitoring
This family enables developers to gather and report performance and monitoring data within Seneca applications. They allow developers to monitor and analyze the behavior, performance, and health of their services. They integrate with popular telemetry platforms and services, providing options for data visualization, alerting, and analysis. With these plugins, developers can gain valuable insights into the performance and behavior of their Seneca services.
Handle incoming messages within other frameworks.
A Seneca plugin that provides basic user telemetry operations.
Testing and quality assurance
This family provides a range of plugins specifically designed for testing and quality assurance purposes in Seneca applications. Each plugin serves a different testing purpose, including cache testing, error handling testing, store testing, transport testing, and message testing, among others. These plugins offer utilities, helpers, and testing frameworks to facilitate the testing process and ensure the reliability and correctness of your application. These plugins provide a standardized and streamlined approach to writing test cases, enabling developers to assess the performance, correctness, and reliability of their codebase.
Standard test cases for seneca caches
Seneca error test.
Structured testing of seneca plugin messages.
Standard test cases for seneca stores
Test Seneca plugin.
Standard test cases for Seneca transports.
Communication and messaging between distributed components
This family enables seamless communication and messaging between distributed components or microservices within Seneca applications. These plugins facilitate reliable and efficient message passing, enabling components to exchange data, invoke actions, and coordinate workflows. Developers can build scalable and decoupled architectures, where different components can communicate asynchronously. This asynchronous nature of the messages enhances the flexibility, modularity, and resilience of the overall system architecture.
Official AMQP transport plugin for Seneca
Seneca beanstalk transport
Seneca Redis Queue Transport
Seneca transport for AWS SNS
Seneca transport
Standard test cases for Seneca transports.
Authentication, authorisation, and telemetry for the user
This family can handle various user-related functionalities within Seneca applications, such as authentication, authorization, and telemetry. Developers can streamline user management processes and enhance application security. This allows developers to focus on building user-centric features and ensuring a smooth user experience.
User management plugin for Seneca
A Seneca plugin that provides basic user telemetry operations.
Various usecases and functionalities
These plugins don't fit into any predefined family. Click through to their README's for further information.
Allow messages to proceed if they meet certain criteria
Apikey management plugin for Seneca
User authentication plugin for the seneca module.
Seneca client-side load balancing transport.
Seneca utility plugin.
Seneca for the browser.
Seneca plugin for debugging Seneca-based systems.
Documentation helper for Seneca plugins.
Handle incoming messages within other frameworks.
Handle external Seneca messages safely.
Handle incoming messages within other frameworks.
Workflow operations and data model.
Handle incoming messages within other frameworks.
A Seneca plugin that provides basic graph operations.
Seneca plugin for user and group permissions.
Seneca plugin for hapi-based systems.
Seneca plugin that provides joi message validation.
Seneca plugin providing messages for a generic key-value store.
Ledger business logic plugin for the Seneca platform.
Seneca log filtering module
Seneca email plugin
Run maintenance tests for Seneca plugins.
Seneca plugin for generic membership.
seneca-monitor
Seneca plugin to add user ownership annotations to entities.
Seneca plugin that provides parambulator message validation.
Seneca plugin for user and populate permissions.
Seneca plugin for user and promisify permissions.
Seneca plugin providing messages for a redis key-value store.
User Referral business logic plugin for the Seneca platform.
Provides a client and server REPL for Seneca microservice systems.
Outbound Web Request Plugin for Seneca
Seneca SendGrid email plugin
Service administration
Integration with popular web frameworks
This family offers adapters for seamless integration of popular web frameworks, allowing developers to build web applications and APIs efficiently. Developers can leverage the capabilities of well-established web frameworks such as Connect, Express, Hapi, and Koa, while benefitting from Seneca's powerful microservice capabilities. These plugins seamlessly combine the power of Seneca with the extensive ecosystem and features offered by popular web frameworks, simplifying the design and development of modular, scalable, and maintainable web architectures. This enables the development of complex, distributed systems without the hassle.
Http route mapping for Seneca microservices.
seneca-web adapter for connect
seneca-web adapter for express
seneca-web adapter for hapi
seneca-web adapter for koa web framework (v1)
Our docs are open source. Simply fork the senecajs.org repository, add your plugin to the appropriate section, and send us on a pull request - that way, other people can find your awesome plugin easily.
Issues? From spelling errors to broken tutorials and everything in between, report them here.


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