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Consistency with Rpy 1 and NumPy packages and tools, e.g. linear_regression

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#415 4 comentarios 0 reacciones 0 asignados Ver en GitHub

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Evaluación

Dificultad
4/5
Tiempo estimado
3-5 días
Aptitud para principiantes
35/100
Tipo de issue
Error
Claridad
Bastante claro
Estado de actividad
Estancado
Stack tecnológico
numpy, python, r
Área
build-system, tooling

Línea de trabajo

Compara packages/package_rpy_1_0_3/tool_dependencies.xml con la versión vinculada de GitHub y, después, inspecciona tools/linear_regression y sus dependencias de R, rpy y NumPy. Reproduce la discrepancia de versión de API notificada y rastrea qué versiones de las dependencias están instaladas. Se considera terminado cuando la cadena de dependencias de rpy y las herramientas afectadas utilizan versiones compatibles de NumPy sin requisitos duplicados y conflictivos.

Escrito por el modelo de indexación a partir del texto del issue.

Descripción

bug

These tools and dependency chains are broken. But will work if you have numpy 1.7 available locally. Detailed analysis follows.

Rpy requires NumPy, but the current version of rpy 1.0.3 in the toolshed (https://toolshed.g2.bx.psu.edu/repos/devteam/package_rpy_1_0_3/file/82170c94ca7c/tool_dependencies.xml https://toolshed.g2.bx.psu.edu/view/devteam/package_rpy_1_0_3/82170c94ca7c) does not have a repository dependency defined.

However, the current version in github, https://github.com/galaxyproject/tools-devteam/blob/fbc219afb27b57b7a7aabbf2936439273753664e/packages/package_rpy_1_0_3/tool_dependencies.xml, has a dependency on numpy 1.9, added in fbc219afb27b57b7a7aabbf2936439273753664e.

But I don't think we can or should 'just update' this package in the toolshed, due to inconsistencies when digging into tools.

The linear_regression tool (https://github.com/galaxyproject/tools-devteam/tree/master/tools/linear_regression https://toolshed.g2.bx.psu.edu/view/devteam/linear_regression/cf431604ec3e) has dependencies on rpy 1.0.3, R 2.11.0, and numpy 1.7.

This causes an error with linear_regression (and possibly other tools), when Rpy is built against NumPy 1.9, but given NumPy 1.7:

RuntimeError: module compiled against API version 9 but this version of numpy is 7

I was able to hack the Rpy 1.0.3 package locally to get these tools to work, with this:

shed_tools/toolshed.g2.bx.psu.edu/repos/devteam/package_rpy_1_0_3/82170c94ca7c/package_rpy_1_0_3$ hg diff
diff -r 82170c94ca7c tool_dependencies.xml
--- a/tool_dependencies.xml	Tue Apr 01 10:47:51 2014 -0400
+++ b/tool_dependencies.xml	Tue Nov 22 10:35:19 2016 -0500
@@ -3,6 +3,9 @@
   <package name="R" version="2.11.0">
       <repository changeset_revision="6e1b17857732" name="package_r_2_11_0" owner="devteam" prior_installation_required="True" toolshed="http://toolshed.g2.bx.psu.edu" />
     </package>
+  <package name="numpy" version="1.7.1">
+      <repository changeset_revision="0c288abd2a1e" name="package_numpy_1_7" owner="devteam" prior_installation_required="True" toolshed="http://toolshed.g2.bx.psu.edu" />
+    </package>
     <package name="rpy" version="1.0.3">
       <install version="1.0">
           <actions>
@@ -15,6 +18,9 @@
                   <repository changeset_revision="6e1b17857732" name="package_r_2_11_0" owner="devteam" prior_installation_required="True" toolshed="http://toolshed.g2.bx.psu.edu">
                       <package name="R" version="2.11.0" />
                     </repository>
+                  <repository changeset_revision="0c288abd2a1e" name="package_numpy_1_7" owner="devteam" prior_installation_required="True" toolshed="http://toolshed.g2.bx.psu.edu">
+                      <package name="numpy" version="1.7.1" />
+                    </repository>
                 </action>
                 <action type="make_directory">$INSTALL_DIR/lib/python</action>
                 <action type="shell_command">

and then uninstalling/reinstalling rpy 1.0.3.

This was the path of least resistance given the current state of the packages in the toolshed (rpy not requiring numpy).

However, the correct fix is most likely to have rpy require numpy (like in current github-only copy, numpy version is up for debate), and simultaneously update any tools using rpy to not manually require their own version of numpy, thereby getting the version inherited through the rpy dependency chain.

Lenguaje dominante
Python
Estrellas
37
Forks
94
Sin PR fusionados en 30 d

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  4. Abre un pull request que haga referencia al número del issue.

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