Kwalitee Issues

use_strict

Add 'use strict' (or its equivalents) to all modules, or convince us that your favorite module is well-known enough and people can easily see the modules are strictly written.

Error: AI::TensorFlow::Libtensorflow::Buffer, AI::TensorFlow::Libtensorflow::DataType, AI::TensorFlow::Libtensorflow::Graph, AI::TensorFlow::Libtensorflow::ImportGraphDefOptions, AI::TensorFlow::Libtensorflow::Lib::FFIType::TFBoolSizeArrayRef, AI::TensorFlow::Libtensorflow::Lib::FFIType::TFDimsBuffer, AI::TensorFlow::Libtensorflow::Lib::FFIType::TFFloat32SizeArrayRef, AI::TensorFlow::Libtensorflow::Lib::FFIType::TFInt64SizeArrayRef, AI::TensorFlow::Libtensorflow::Lib::FFIType::TFPtrPtrLenSizeArrayRefScalar, AI::TensorFlow::Libtensorflow::Lib::FFIType::TFPtrSizeScalarRef, AI::TensorFlow::Libtensorflow::Lib::Types, AI::TensorFlow::Libtensorflow::Lib::_Alloc, AI::TensorFlow::Libtensorflow::Operation, AI::TensorFlow::Libtensorflow::OperationDescription, AI::TensorFlow::Libtensorflow::Output, AI::TensorFlow::Libtensorflow::Session, AI::TensorFlow::Libtensorflow::SessionOptions, AI::TensorFlow::Libtensorflow::Status, AI::TensorFlow::Libtensorflow::Tensor, AI::TensorFlow::Libtensorflow::_Misc

prereq_matches_use

List all used modules in META.yml requires

Error:

  • Moose
  • Pod::Elemental::Element::Pod5::Command
  • Pod::Elemental::Transformer
  • Pod::Elemental::Transformer::List
  • Types::Encodings

proper_libs

Move your *.pm files in a directory named 'lib'. The directory structure should look like 'lib/Your/Module.pm' for a module named 'Your::Module'. If you need to provide additional files, e.g. for testing, that should not be considered for Kwalitee, then you should look at the 'provides' map in META.yml to limit the files scanned; or use the 'no_index' map to exclude parts of the distribution.

Error: maint/inc/Pod/Elemental/Transformer/TF_CAPI.pm, maint/inc/Pod/Elemental/Transformer/TF_Sig.pm, maint/inc/PreloadPodWeaver.pm

use_warnings

Add 'use warnings' (or its equivalents) to all modules, or convince us that your favorite module is well-known enough and people can easily see the modules warn when something bad happens.

Error: AI::TensorFlow::Libtensorflow::Buffer, AI::TensorFlow::Libtensorflow::DataType, AI::TensorFlow::Libtensorflow::Graph, AI::TensorFlow::Libtensorflow::ImportGraphDefOptions, AI::TensorFlow::Libtensorflow::Lib::FFIType::TFBoolSizeArrayRef, AI::TensorFlow::Libtensorflow::Lib::FFIType::TFDimsBuffer, AI::TensorFlow::Libtensorflow::Lib::FFIType::TFFloat32SizeArrayRef, AI::TensorFlow::Libtensorflow::Lib::FFIType::TFInt64SizeArrayRef, AI::TensorFlow::Libtensorflow::Lib::FFIType::TFPtrPtrLenSizeArrayRefScalar, AI::TensorFlow::Libtensorflow::Lib::FFIType::TFPtrSizeScalarRef, AI::TensorFlow::Libtensorflow::Lib::Types, AI::TensorFlow::Libtensorflow::Lib::_Alloc, AI::TensorFlow::Libtensorflow::Operation, AI::TensorFlow::Libtensorflow::OperationDescription, AI::TensorFlow::Libtensorflow::Output, AI::TensorFlow::Libtensorflow::Session, AI::TensorFlow::Libtensorflow::SessionOptions, AI::TensorFlow::Libtensorflow::Status, AI::TensorFlow::Libtensorflow::Tensor, AI::TensorFlow::Libtensorflow::_Misc

meta_yml_has_provides

Add all modules contained in this distribution to the META.yml field 'provides'. Module::Build or Dist::Zilla::Plugin::MetaProvides do this automatically for you.

Modules

Name Abstract Version View
AI::TensorFlow::Libtensorflow Bindings for Libtensorflow deep learning library 0.000002 metacpan
AI::TensorFlow::Libtensorflow::Buffer 0.000002 metacpan
AI::TensorFlow::Libtensorflow::DataType Datatype enum 0.000002 metacpan
AI::TensorFlow::Libtensorflow::Graph 0.000002 metacpan
AI::TensorFlow::Libtensorflow::ImportGraphDefOptions 0.000002 metacpan
AI::TensorFlow::Libtensorflow::Lib Private class for AI::TensorFlow::Libtensorflow 0.000002 metacpan
AI::TensorFlow::Libtensorflow::Lib::FFIType::TFBoolSizeArrayRef Type to hold boolean list as unsigned char** , int 0.000002 metacpan
AI::TensorFlow::Libtensorflow::Lib::FFIType::TFDimsBuffer Type to hold dimensions array and number of dimensions 0.000002 metacpan
AI::TensorFlow::Libtensorflow::Lib::FFIType::TFFloat32SizeArrayRef Type to hold float list as float* + int 0.000002 metacpan
AI::TensorFlow::Libtensorflow::Lib::FFIType::TFInt64SizeArrayRef Type to hold int64_t array and number of elements 0.000002 metacpan
AI::TensorFlow::Libtensorflow::Lib::FFIType::TFPtrPtrLenSizeArrayRefScalar Type to hold string list as void** strings, size_t* lengths, int num_items 0.000002 metacpan
AI::TensorFlow::Libtensorflow::Lib::FFIType::TFPtrSizeScalarRef Type to hold pointer and size in a scalar reference 0.000002 metacpan
AI::TensorFlow::Libtensorflow::Lib::Types Type library 0.000002 metacpan
AI::TensorFlow::Libtensorflow::Lib::_Alloc [private] Allocation utilities 0.000002 metacpan
AI::TensorFlow::Libtensorflow::Operation An operation 0.000002 metacpan
AI::TensorFlow::Libtensorflow::OperationDescription Operation being built 0.000002 metacpan
AI::TensorFlow::Libtensorflow::Output 0.000002 metacpan
AI::TensorFlow::Libtensorflow::Session 0.000002 metacpan
AI::TensorFlow::Libtensorflow::SessionOptions 0.000002 metacpan
AI::TensorFlow::Libtensorflow::Status Status 0.000002 metacpan
AI::TensorFlow::Libtensorflow::Tensor A multi-dimensional array of elements of a single data type 0.000002 metacpan
AI::TensorFlow::Libtensorflow::_Misc Private API 0.000002 metacpan
Pod::Elemental::Transformer::TF_CAPI metacpan
Pod::Elemental::Transformer::TF_Sig metacpan
maint::inc::PreloadPodWeaver metacpan

Other Files

Changes metacpan
MANIFEST metacpan
META.json metacpan
META.yml metacpan
Makefile.PL metacpan
README metacpan
dist.ini metacpan