Guesslang detects the programming language of a given source code

Guesslang Build Status Documentation Status Pypi version

Guesslang

Guesslang detects the programming language of a given source code:

echo '
package main
import "fmt"

func main() {
    fmt.Println("My mascot is a gopher and Google loves me. Who am I?")
}

' | guesslang

# ⟶ Programming language: Go

Guesslang supports 54 programming languages:

Languages
Assembly Batchfile C C# C++
Clojure CMake COBOL CoffeeScript CSS
CSV Dart DM Dockerfile Elixir
Erlang Fortran Go Groovy Haskell
HTML INI Java JavaScript JSON
Julia Kotlin Lisp Lua Makefile
Markdown Matlab Objective-C OCaml Pascal
Perl PHP PowerShell Prolog Python
R Ruby Rust Scala Shell
SQL Swift TeX TOML TypeScript
Verilog Visual Basic XML YAML

With a guessing accuracy higher than 90%.

Apps powered by Guesslang

Chameledit

Chameledit is a simple web-editor that automatically highlights your code.

Pasta

Pasta is a Slack bot that pretty pastes source code.

Watch the demo here

GG

GG is a silly guessing game.

Documentation

Installation

  • Python 3.7+ is required

  • Install the latest stable version:

pip3 install guesslang
  • or install Guesslang from source code:
pip3 install .
  • Windows specific

To run Tensorflow on Microsoft Windows you need to install Visual C++ runtime libraries, available on Microsoft website

Guesslang command line

  • Show all available options
guesslang --help
  • Detect the programming language of /etc/bashrc configuration file:
guesslang /etc/bashrc

# ⟶ Programming language: Shell
  • Detect the programming language of a given text:
echo '
/** Turn command line arguments to uppercase */
object Main {
  def main(args: Array[String]) {
    val res = for (a <- args) yield a.toUpperCase
    println("Arguments: " + res.toString)
  }
}
' | guesslang

# ⟶ Programming language: Scala
  • Show the detection probabilities for a given source code:
= pivot] return qsort(less) + [pivot] + qsort(more) if __name__ == '__main__': items = [1, 4, 2, 7, 9, 3] print(f'Sorted: {qsort(items)}') " | guesslang --probabilities # Language name Probability # Python 74.80% # Haskell 6.73% # CoffeeScript 5.32% # Groovy 1.95% # Markdown 0.93% # ... ">
echo "
def qsort(items):
    if not items:
        return []
    else:
        pivot = items[0]
        less = [x for x in items if x <  pivot]
        more = [x for x in items[1:] if x >= pivot]
        return qsort(less) + [pivot] + qsort(more)


if __name__ == '__main__':
    items = [1, 4, 2, 7, 9, 3]
    print(f'Sorted: {qsort(items)}')

" | guesslang --probabilities

# Language name       Probability
#  Python               74.80%
#  Haskell               6.73%
#  CoffeeScript          5.32%
#  Groovy                1.95%
#  Markdown              0.93%
#  ...

Guesslang Python package

[]; qsort([Pivot|T]) -> qsort([X || X <- T, X < Pivot]) ++ [Pivot] ++ qsort([X || X <- T, X >= Pivot]). """) print(name) # ⟶ Erlang ">
from guesslang import Guess


guess = Guess()

name = guess.language_name("""
    % Quick sort

    -module (recursion).
    -export ([qsort/1]).

    qsort([]) -> [];
    qsort([Pivot|T]) ->
          qsort([X || X <- T, X < Pivot])
          ++ [Pivot] ++
          qsort([X || X <- T, X >= Pivot]).
""")

print(name)  # ⟶ Erlang

License and credits

Owner
Y. SOMDA
Big Data Crypto Machine Learning and life enthusiast.
Y. SOMDA
Comments
  • Guesslang in VS Code

    Guesslang in VS Code

    Hi there,

    My name is Isidor and I work on VS Code. We have the following problem:

    Novice user create a new untitled files and start typing and they have no clue that they have to set the language mode to get all the language smartness that VS Code provides. Thus we were thinking to use some smart language detection so we could automatically set the language for the user.

    I was doing a bit of online research and I came across this project - looks very cool!

    Is it possible to somehow have this work as a node module instead of python? Since then we could consume it easily in VS Code and things might just work. Even cooler would be if it worked in the browser.

    Let me know if you are interested we can also setup a meeting where I could explain our use case in more detail. Thanks!

  • ModuleNotFoundError: No module named 'guesslang'

    ModuleNotFoundError: No module named 'guesslang'

    Hello Team,

    I have installed Tensorflow and guesslang

    C:\Users\bhuvaneshwari>pip3 show tensorflow Name: tensorflow Version: 2.5.0 Summary: TensorFlow is an open source machine learning framework for everyone. Home-page: https://www.tensorflow.org/ Author: Google Inc. Author-email: [email protected] License: Apache 2.0 Location: c:\users\bhuvaneshwari\appdata\local\programs\python\python39\lib\site-packages Requires: keras-preprocessing, termcolor, flatbuffers, tensorboard, gast, tensorflow-estimator, google-pasta, numpy, wheel, six, wrapt, keras-nightly, absl-py, typing-extensions, astunparse, protobuf, h5py, opt-einsum, grpcio Required-by: guesslang

    C:\Users\bhuvaneshwari>pip3 show tensorflow Name: tensorflow Version: 2.5.0 Summary: TensorFlow is an open source machine learning framework for everyone. Home-page: https://www.tensorflow.org/ Author: Google Inc. Author-email: [email protected] License: Apache 2.0 Location: c:\users\bhuvaneshwari\appdata\local\programs\python\python39\lib\site-packages Requires: keras-preprocessing, termcolor, flatbuffers, tensorboard, gast, tensorflow-estimator, google-pasta, numpy, wheel, six, wrapt, keras-nightly, absl-py, typing-extensions, astunparse, protobuf, h5py, opt-einsum, grpcio Required-by: guesslang

    When i try guesslang as a CLI , i get 'guesslang' is not recognized as an internal or external command,

    When i try as a package in python program i get ModuleNotFoundError: No module named 'guesslang'

    Thanks in advance

  • Support 24 more languages, including JSON, Kotlin, XML, YAML etc...

    Support 24 more languages, including JSON, Kotlin, XML, YAML etc...

    Support the following languages:

    • Assembly
    • CSV
    • Dart
    • Fortran
    • Groovy
    • INI
    • JSON
    • Julia
    • Kotlin
    • Pascal (currently broken :warning:)
    • TOML
    • TypeScript
    • VBA
    • XML
    • YAML

    Prediction accuracy is 92.59% but the training and test dataset were not well balanced due to lack of files for some languages. And there were errors in the Pascal dataset.

  • Update pypi version and dependences

    Update pypi version and dependences

    Hi, actually i'm in debian with python 3.7, and i try install from pip but sadlt didn't works

    [email protected]:/home/pipe/a# pip3 install guesslang
    Collecting guesslang
      Using cached https://files.pythonhosted.org/packages/d5/e2/0416000ea8c42665ca1c3a9b527b585e9a9610b4a6494d728358f25a3a46/guesslang-0.9.3-py3-none-any.whl
    Collecting numpy (from guesslang)
      Downloading https://files.pythonhosted.org/packages/d6/c6/58e517e8b1fb192725cfa23c01c2e60e4e6699314ee9684a1c5f5c9b27e1/numpy-1.18.5-cp37-cp37m-manylinux1_x86_64.whl (20.1MB)
        100% |████████████████████████████████| 20.1MB 16kB/s 
    Collecting tensorflow==1.7.0rc1 (from guesslang)
      Could not find a version that satisfies the requirement tensorflow==1.7.0rc1 (from guesslang) (from versions: 1.13.0rc1, 1.13.0rc2, 1.13.1, 1.13.2, 1.14.0rc0, 1.14.0rc1, 1.14.0, 2.0.0a0, 2.0.0b0, 2.0.0b1)
    No matching distribution found for tensorflow==1.7.0rc1 (from guesslang)
    

    Thx.

  • Uninstallable due to outdated tensorflow specification

    Uninstallable due to outdated tensorflow specification

    pip install guesslang
    
    Collecting guesslang
      Using cached https://files.pythonhosted.org/packages/d5/e2/0416000ea8c42665ca1c3a9b527b585e9a9610b4a6494d728358f25a3a46/guesslang-0.9.3-py3-none-any.whl
    Collecting numpy (from guesslang)
      Using cached https://files.pythonhosted.org/packages/91/e7/6c780e612d245cca62bc3ba8e263038f7c144a96a54f877f3714a0e8427e/numpy-1.16.2-cp37-cp37m-manylinux1_x86_64.whl
    Collecting tensorflow==1.7.0rc1 (from guesslang)
      Could not find a version that satisfies the requirement tensorflow==1.7.0rc1 (from guesslang) (from versions: 1.13.0rc1, 1.13.0rc2, 1.13.1)
    No matching distribution found for tensorflow==1.7.0rc1 (from guesslang)
    

    pip 19.0.3

  • The class

    The class "tf.contrib.learn.DNNLinearCombinedClassifier" has been deprecated in TensorFlow

    Thanks for your package.

    The api of the deep learning model used for this package has been deprecated, reported in the TensorFlow website.

    https://www.tensorflow.org/api_docs/python/tf/contrib/learn/DNNLinearCombinedClassifier

  • Conversion to ONNX and TFJS fails.

    Conversion to ONNX and TFJS fails.

    Has anyone been able to convert the default model to either ONNX or TFJS ? I have tried but mostly it seems to be an issue of unsupported operators. I am attaching the output that I get for each of them.

    Command line for TFJS: tensorflowjs_converter --input_format=tf_saved_model --output_format=tfjs_graph_model <path-to-default-saved-model> <path-to-new-folder>

    Output for the above:

    2022-10-10 15:18:45.017186: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA
    To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
    2022-10-10 15:18:45.161669: E tensorflow/stream_executor/cuda/cuda_blas.cc:2981] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
    2022-10-10 15:18:45.657095: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory
    2022-10-10 15:18:45.657174: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory
    2022-10-10 15:18:45.657185: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.
    2022-10-10 15:18:55.993704: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcusolver.so.11'; dlerror: libcusolver.so.11: cannot open shared object file: No such file or directory
    2022-10-10 15:18:55.994301: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudnn.so.8'; dlerror: libcudnn.so.8: cannot open shared object file: No such file or directory
    2022-10-10 15:18:55.994318: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1934] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
    Skipping registering GPU devices...
    2022-10-10 15:18:55.994979: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA
    To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
    WARNING:tensorflow:Issue encountered when serializing global_step.
    Type is unsupported, or the types of the items don't match field type in CollectionDef. Note this is a warning and probably safe to ignore.
    This operation is not supported when eager execution is enabled.
    WARNING:tensorflow:Issue encountered when serializing global_step.
    Type is unsupported, or the types of the items don't match field type in CollectionDef. Note this is a warning and probably safe to ignore.
    This operation is not supported when eager execution is enabled.
    WARNING:tensorflow:Issue encountered when serializing variables.
    Type is unsupported, or the types of the items don't match field type in CollectionDef. Note this is a warning and probably safe to ignore.
    This operation is not supported when eager execution is enabled.
    WARNING:tensorflow:Issue encountered when serializing variables.
    Type is unsupported, or the types of the items don't match field type in CollectionDef. Note this is a warning and probably safe to ignore.
    This operation is not supported when eager execution is enabled.
    WARNING:tensorflow:Issue encountered when serializing trainable_variables.
    Type is unsupported, or the types of the items don't match field type in CollectionDef. Note this is a warning and probably safe to ignore.
    This operation is not supported when eager execution is enabled.
    WARNING:tensorflow:Issue encountered when serializing trainable_variables.
    Type is unsupported, or the types of the items don't match field type in CollectionDef. Note this is a warning and probably safe to ignore.
    This operation is not supported when eager execution is enabled.
    2022-10-10 15:18:56.598822: I tensorflow/core/grappler/devices.cc:66] Number of eligible GPUs (core count >= 8, compute capability >= 0.0): 8
    2022-10-10 15:18:56.599119: I tensorflow/core/grappler/clusters/single_machine.cc:358] Starting new session
    2022-10-10 15:18:57.721903: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1934] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
    Skipping registering GPU devices...
    2022-10-10 15:18:57.757114: E tensorflow/core/grappler/grappler_item_builder.cc:670] Init node head/predictions/class_string_lookup/table_init/LookupTableImportV2 doesn't exist in graph
    WARNING:tensorflow:From /home/hari/miniconda3/envs/srclangdetect/lib/python3.8/site-packages/tensorflowjs/converters/tf_saved_model_conversion_v2.py:398: load (from tensorflow.python.saved_model.loader_impl) is deprecated and will be removed in a future version.
    Instructions for updating:
    This function will only be available through the v1 compatibility library as tf.compat.v1.saved_model.loader.load or tf.compat.v1.saved_model.load. There will be a new function for importing SavedModels in Tensorflow 2.0.
    WARNING:tensorflow:From /home/hari/miniconda3/envs/srclangdetect/lib/python3.8/site-packages/tensorflowjs/converters/tf_saved_model_conversion_v2.py:398: load (from tensorflow.python.saved_model.loader_impl) is deprecated and will be removed in a future version.
    Instructions for updating:
    This function will only be available through the v1 compatibility library as tf.compat.v1.saved_model.loader.load or tf.compat.v1.saved_model.load. There will be a new function for importing SavedModels in Tensorflow 2.0.
    2022-10-10 15:18:57.904875: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:354] MLIR V1 optimization pass is not enabled
    2022-10-10 15:18:57.917561: W tensorflow/core/common_runtime/forward_type_inference.cc:332] Type inference failed. This indicates an invalid graph that escaped type checking. Error message: INVALID_ARGUMENT: expected compatible input types, but input 1:
    type_id: TFT_OPTIONAL
    args {
      type_id: TFT_PRODUCT
      args {
        type_id: TFT_TENSOR
        args {
          type_id: TFT_INT64
        }
      }
    }
     is neither a subtype nor a supertype of the combined inputs preceding it:
    type_id: TFT_OPTIONAL
    args {
      type_id: TFT_PRODUCT
      args {
        type_id: TFT_TENSOR
        args {
          type_id: TFT_INT32
        }
      }
    }
    
    	while inferring type of node 'dnn/zero_fraction/cond/output/_44'
    WARNING:tensorflow:From /home/hari/miniconda3/envs/srclangdetect/lib/python3.8/site-packages/tensorflowjs/converters/tf_saved_model_conversion_v2.py:402: convert_variables_to_constants (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use `tf.compat.v1.graph_util.convert_variables_to_constants`
    WARNING:tensorflow:From /home/hari/miniconda3/envs/srclangdetect/lib/python3.8/site-packages/tensorflowjs/converters/tf_saved_model_conversion_v2.py:402: convert_variables_to_constants (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use `tf.compat.v1.graph_util.convert_variables_to_constants`
    WARNING:tensorflow:From /home/hari/miniconda3/envs/srclangdetect/lib/python3.8/site-packages/tensorflow/python/framework/convert_to_constants.py:936: extract_sub_graph (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use `tf.compat.v1.graph_util.extract_sub_graph`
    WARNING:tensorflow:From /home/hari/miniconda3/envs/srclangdetect/lib/python3.8/site-packages/tensorflow/python/framework/convert_to_constants.py:936: extract_sub_graph (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use `tf.compat.v1.graph_util.extract_sub_graph`
    Traceback (most recent call last):
      File "/home/hari/miniconda3/envs/srclangdetect/bin/tensorflowjs_converter", line 8, in <module>
        sys.exit(pip_main())
      File "/home/hari/miniconda3/envs/srclangdetect/lib/python3.8/site-packages/tensorflowjs/converters/converter.py", line 827, in pip_main
        main([' '.join(sys.argv[1:])])
      File "/home/hari/miniconda3/envs/srclangdetect/lib/python3.8/site-packages/tensorflowjs/converters/converter.py", line 831, in main
        convert(argv[0].split(' '))
      File "/home/hari/miniconda3/envs/srclangdetect/lib/python3.8/site-packages/tensorflowjs/converters/converter.py", line 817, in convert
        _dispatch_converter(input_format, output_format, args, quantization_dtype_map,
      File "/home/hari/miniconda3/envs/srclangdetect/lib/python3.8/site-packages/tensorflowjs/converters/converter.py", line 528, in _dispatch_converter
        tf_saved_model_conversion_v2.convert_tf_saved_model(
      File "/home/hari/miniconda3/envs/srclangdetect/lib/python3.8/site-packages/tensorflowjs/converters/tf_saved_model_conversion_v2.py", line 809, in convert_tf_saved_model
        _convert_tf_saved_model(output_dir, saved_model_dir=saved_model_dir,
      File "/home/hari/miniconda3/envs/srclangdetect/lib/python3.8/site-packages/tensorflowjs/converters/tf_saved_model_conversion_v2.py", line 699, in _convert_tf_saved_model
        optimize_graph(frozen_graph, signature,
      File "/home/hari/miniconda3/envs/srclangdetect/lib/python3.8/site-packages/tensorflowjs/converters/tf_saved_model_conversion_v2.py", line 157, in optimize_graph
        raise ValueError('Unsupported Ops in the model before optimization\n' +
    ValueError: Unsupported Ops in the model before optimization
    OptionalNone, ReadVariableOp, OptionalFromValue
    

    Command line for ONNX: python -m tf2onnx.convert --saved-model <path-to-model-directory> --output guesslang.onnx --opset 11 --verbose

    Output for the above:

    2022-10-10 15:22:09.947615: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA
    To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
    2022-10-10 15:22:10.093875: E tensorflow/stream_executor/cuda/cuda_blas.cc:2981] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
    2022-10-10 15:22:10.584761: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory
    2022-10-10 15:22:10.584838: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory
    2022-10-10 15:22:10.584845: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.
    /home/hari/miniconda3/envs/srclangdetect/lib/python3.8/runpy.py:127: RuntimeWarning: 'tf2onnx.convert' found in sys.modules after import of package 'tf2onnx', but prior to execution of 'tf2onnx.convert'; this may result in unpredictable behaviour
      warn(RuntimeWarning(msg))
    2022-10-10 15:22:20.974883: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcusolver.so.11'; dlerror: libcusolver.so.11: cannot open shared object file: No such file or directory
    2022-10-10 15:22:20.975415: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudnn.so.8'; dlerror: libcudnn.so.8: cannot open shared object file: No such file or directory
    2022-10-10 15:22:20.975432: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1934] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
    Skipping registering GPU devices...
    2022-10-10 15:22:20.976057: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA
    To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
    2022-10-10 15:22:21,027 - WARNING - tf2onnx.tf_loader: '--tag' not specified for saved_model. Using --tag serve
    2022-10-10 15:22:21,588 - INFO - tf2onnx.tf_loader: Signatures found in model: [serving_default,classification,predict].
    2022-10-10 15:22:21,588 - WARNING - tf2onnx.tf_loader: '--signature_def' not specified, using first signature: serving_default
    2022-10-10 15:22:21,588 - INFO - tf2onnx.tf_loader: Output names: ['classes', 'scores']
    WARNING:tensorflow:Issue encountered when serializing global_step.
    Type is unsupported, or the types of the items don't match field type in CollectionDef. Note this is a warning and probably safe to ignore.
    This operation is not supported when eager execution is enabled.
    2022-10-10 15:22:21,601 - WARNING - tensorflow: Issue encountered when serializing global_step.
    Type is unsupported, or the types of the items don't match field type in CollectionDef. Note this is a warning and probably safe to ignore.
    This operation is not supported when eager execution is enabled.
    WARNING:tensorflow:Issue encountered when serializing variables.
    Type is unsupported, or the types of the items don't match field type in CollectionDef. Note this is a warning and probably safe to ignore.
    This operation is not supported when eager execution is enabled.
    2022-10-10 15:22:21,601 - WARNING - tensorflow: Issue encountered when serializing variables.
    Type is unsupported, or the types of the items don't match field type in CollectionDef. Note this is a warning and probably safe to ignore.
    This operation is not supported when eager execution is enabled.
    WARNING:tensorflow:Issue encountered when serializing trainable_variables.
    Type is unsupported, or the types of the items don't match field type in CollectionDef. Note this is a warning and probably safe to ignore.
    This operation is not supported when eager execution is enabled.
    2022-10-10 15:22:21,602 - WARNING - tensorflow: Issue encountered when serializing trainable_variables.
    Type is unsupported, or the types of the items don't match field type in CollectionDef. Note this is a warning and probably safe to ignore.
    This operation is not supported when eager execution is enabled.
    2022-10-10 15:22:21.620369: I tensorflow/core/grappler/devices.cc:66] Number of eligible GPUs (core count >= 8, compute capability >= 0.0): 8
    2022-10-10 15:22:21.620657: I tensorflow/core/grappler/clusters/single_machine.cc:358] Starting new session
    2022-10-10 15:22:22.735793: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1934] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
    Skipping registering GPU devices...
    2022-10-10 15:22:22.771439: E tensorflow/core/grappler/grappler_item_builder.cc:670] Init node head/predictions/class_string_lookup/table_init/LookupTableImportV2 doesn't exist in graph
    Traceback (most recent call last):
      File "/home/hari/miniconda3/envs/srclangdetect/lib/python3.8/runpy.py", line 194, in _run_module_as_main
        return _run_code(code, main_globals, None,
      File "/home/hari/miniconda3/envs/srclangdetect/lib/python3.8/runpy.py", line 87, in _run_code
        exec(code, run_globals)
      File "/home/hari/miniconda3/envs/srclangdetect/lib/python3.8/site-packages/tf2onnx/convert.py", line 706, in <module>
        main()
      File "/home/hari/miniconda3/envs/srclangdetect/lib/python3.8/site-packages/tf2onnx/convert.py", line 238, in main
        graph_def, inputs, outputs, initialized_tables, tensors_to_rename = tf_loader.from_saved_model(
      File "/home/hari/miniconda3/envs/srclangdetect/lib/python3.8/site-packages/tf2onnx/tf_loader.py", line 614, in from_saved_model
        _from_saved_model_v2(model_path, input_names, output_names,
      File "/home/hari/miniconda3/envs/srclangdetect/lib/python3.8/site-packages/tf2onnx/tf_loader.py", line 598, in _from_saved_model_v2
        frozen_graph, initialized_tables = from_trackable(imported, concrete_func, inputs, outputs, large_model)
      File "/home/hari/miniconda3/envs/srclangdetect/lib/python3.8/site-packages/tf2onnx/tf_loader.py", line 225, in from_trackable
        raise e
      File "/home/hari/miniconda3/envs/srclangdetect/lib/python3.8/site-packages/tf2onnx/tf_loader.py", line 221, in from_trackable
        frozen_graph = from_function(concrete_func, inputs, outputs, large_model)
      File "/home/hari/miniconda3/envs/srclangdetect/lib/python3.8/site-packages/tf2onnx/tf_loader.py", line 280, in from_function
        raise e
      File "/home/hari/miniconda3/envs/srclangdetect/lib/python3.8/site-packages/tf2onnx/tf_loader.py", line 273, in from_function
        frozen_func = convert_variables_to_constants_v2(func, lower_control_flow=False, aggressive_inlining=True)
      File "/home/hari/miniconda3/envs/srclangdetect/lib/python3.8/site-packages/tensorflow/python/framework/convert_to_constants.py", line 1154, in convert_variables_to_constants_v2
        converter_data = _FunctionConverterDataInEager(
      File "/home/hari/miniconda3/envs/srclangdetect/lib/python3.8/site-packages/tensorflow/python/framework/convert_to_constants.py", line 817, in __init__
        graph_def = _run_inline_graph_optimization(func, lower_control_flow,
      File "/home/hari/miniconda3/envs/srclangdetect/lib/python3.8/site-packages/tensorflow/python/framework/convert_to_constants.py", line 1052, in _run_inline_graph_optimization
        return tf_optimizer.OptimizeGraph(config, meta_graph)
      File "/home/hari/miniconda3/envs/srclangdetect/lib/python3.8/site-packages/tensorflow/python/grappler/tf_optimizer.py", line 65, in OptimizeGraph
        out_graph = tf_opt.TF_OptimizeGraph(cluster.tf_cluster,
    ValueError: Failed to import metagraph, check error log for more info.
    

    Environment:

    absl-py==1.2.0
    astunparse==1.6.3
    cachetools==5.2.0
    certifi @ file:///croot/certifi_1665076670883/work/certifi
    charset-normalizer==2.1.1
    chex==0.1.5
    coloredlogs==15.0.1
    commonmark==0.9.1
    contourpy==1.0.5
    cycler==0.11.0
    dm-tree==0.1.7
    etils==0.8.0
    flatbuffers==22.9.24
    flax==0.6.1
    fonttools==4.37.4
    gast==0.4.0
    google-auth==2.12.0
    google-auth-oauthlib==0.4.6
    google-pasta==0.2.0
    grpcio==1.34.1
    guesslang==2.2.1
    h5py==3.1.0
    humanfriendly==10.0
    idna==3.4
    importlib-metadata==5.0.0
    importlib-resources==5.10.0
    jax==0.3.21
    jaxlib==0.3.20
    keras==2.10.0
    keras-nightly==2.5.0.dev2021032900
    Keras-Preprocessing==1.1.2
    kiwisolver==1.4.4
    libclang==14.0.6
    Markdown==3.4.1
    MarkupSafe==2.1.1
    matplotlib==3.6.1
    mpmath==1.2.1
    msgpack==1.0.4
    numpy==1.23.3
    oauthlib==3.2.1
    onnx==1.12.0
    onnxruntime==1.12.1
    opt-einsum==3.3.0
    optax==0.1.3
    packaging==20.9
    Pillow==9.2.0
    protobuf==3.19.6
    pyasn1==0.4.8
    pyasn1-modules==0.2.8
    Pygments==2.13.0
    pyparsing==3.0.9
    python-dateutil==2.8.2
    PyYAML==6.0
    requests==2.28.1
    requests-oauthlib==1.3.1
    rich==12.6.0
    rsa==4.9
    scipy==1.9.2
    six==1.15.0
    sympy==1.11.1
    tensorboard==2.10.1
    tensorboard-data-server==0.6.1
    tensorboard-plugin-wit==1.8.1
    tensorflow==2.10.0
    tensorflow-estimator==2.10.0
    tensorflow-hub==0.12.0
    tensorflow-io-gcs-filesystem==0.27.0
    tensorflowjs==3.21.0
    termcolor==1.1.0
    tf2onnx==1.12.1
    toolz==0.12.0
    typing_extensions==4.4.0
    urllib3==1.26.12
    Werkzeug==2.2.2
    wrapt==1.12.1
    zipp==3.9.0
    
  • Question - Can I use it in my node web app?

    Question - Can I use it in my node web app?

    I really like this DL module and I don't know anything about machine learning. But I want to use this in my app to guess the language based on user input.

    Now, this app uses Next.js and I wanted to ask that is there a way to use it in a nodejs based app?

  • Bump tensorflow from 2.2.0 to 2.3.1

    Bump tensorflow from 2.2.0 to 2.3.1

    Bumps tensorflow from 2.2.0 to 2.3.1.

    Release notes

    Sourced from tensorflow's releases.

    TensorFlow 2.3.1

    Release 2.3.1

    Bug Fixes and Other Changes

    TensorFlow 2.3.0

    Release 2.3.0

    Major Features and Improvements

    • tf.data adds two new mechanisms to solve input pipeline bottlenecks and save resources:

    In addition checkout the detailed guide for analyzing input pipeline performance with TF Profiler.

    • tf.distribute.TPUStrategy is now a stable API and no longer considered experimental for TensorFlow. (earlier tf.distribute.experimental.TPUStrategy).

    • TF Profiler introduces two new tools: a memory profiler to visualize your model’s memory usage over time and a python tracer which allows you to trace python function calls in your model. Usability improvements include better diagnostic messages and profile options to customize the host and device trace verbosity level.

    • Introduces experimental support for Keras Preprocessing Layers API (tf.keras.layers.experimental.preprocessing.*) to handle data preprocessing operations, with support for composite tensor inputs. Please see below for additional details on these layers.

    • TFLite now properly supports dynamic shapes during conversion and inference. We’ve also added opt-in support on Android and iOS for XNNPACK, a highly optimized set of CPU kernels, as well as opt-in support for executing quantized models on the GPU.

    • Libtensorflow packages are available in GCS starting this release. We have also started to release a nightly version of these packages.

    • The experimental Python API tf.debugging.experimental.enable_dump_debug_info() now allows you to instrument a TensorFlow program and dump debugging information to a directory on the file system. The directory can be read and visualized by a new interactive dashboard in TensorBoard 2.3 called Debugger V2, which reveals the details of the TensorFlow program including graph structures, history of op executions at the Python (eager) and intra-graph levels, the runtime dtype, shape, and numerical composistion of tensors, as well as their code locations.

    Breaking Changes

    • Increases the minimum bazel version required to build TF to 3.1.0.
    • tf.data
      • Makes the following (breaking) changes to the tf.data.
      • C++ API: - IteratorBase::RestoreInternal, IteratorBase::SaveInternal, and DatasetBase::CheckExternalState become pure-virtual and subclasses are now expected to provide an implementation.
      • The deprecated DatasetBase::IsStateful method is removed in favor of DatasetBase::CheckExternalState.
      • Deprecated overrides of DatasetBase::MakeIterator and MakeIteratorFromInputElement are removed.

    ... (truncated)

    Changelog

    Sourced from tensorflow's changelog.

    Release 2.3.1

    Bug Fixes and Other Changes

    Release 2.2.1

    ... (truncated)

    Commits
    • fcc4b96 Merge pull request #43446 from tensorflow-jenkins/version-numbers-2.3.1-16251
    • 4cf2230 Update version numbers to 2.3.1
    • eee8224 Merge pull request #43441 from tensorflow-jenkins/relnotes-2.3.1-24672
    • 0d41b1d Update RELEASE.md
    • d99bd63 Insert release notes place-fill
    • d71d3ce Merge pull request #43414 from tensorflow/mihaimaruseac-patch-1-1
    • 9c91596 Fix missing import
    • f9f12f6 Merge pull request #43391 from tensorflow/mihaimaruseac-patch-4
    • 3ed271b Solve leftover from merge conflict
    • 9cf3773 Merge pull request #43358 from tensorflow/mm-patch-r2.3
    • Additional commits viewable in compare view

    Dependabot compatibility score

    Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.


    Dependabot commands and options

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    • @dependabot rebase will rebase this PR
    • @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
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    You can disable automated security fix PRs for this repo from the Security Alerts page.

  • Request: Detection support for additional syntaxes: json, kotlin, nginx, toml, xml, yaml

    Request: Detection support for additional syntaxes: json, kotlin, nginx, toml, xml, yaml

    Thanks so much for reviving your work!

    I wasn't sure if you'd prefer a separate issue for each language here, just let me know.

    Otherwise:

    • [x] json
    • [x] kotlin
    • [ ] nginx
    • [x] toml
    • [x] xml
    • [x] yaml
  • [feature request] return probability from language_name()

    [feature request] return probability from language_name()

    language_name() returns the best guess for the language. I would like to know the associated probability such that I can decide if I use the information or not.

  • Bump tensorflow from 2.5.0 to 2.9.3

    Bump tensorflow from 2.5.0 to 2.9.3

    Bumps tensorflow from 2.5.0 to 2.9.3.

    Release notes

    Sourced from tensorflow's releases.

    TensorFlow 2.9.3

    Release 2.9.3

    This release introduces several vulnerability fixes:

    TensorFlow 2.9.2

    Release 2.9.2

    This releases introduces several vulnerability fixes:

    ... (truncated)

    Changelog

    Sourced from tensorflow's changelog.

    Release 2.9.3

    This release introduces several vulnerability fixes:

    Release 2.8.4

    This release introduces several vulnerability fixes:

    ... (truncated)

    Commits
    • a5ed5f3 Merge pull request #58584 from tensorflow/vinila21-patch-2
    • 258f9a1 Update py_func.cc
    • cd27cfb Merge pull request #58580 from tensorflow-jenkins/version-numbers-2.9.3-24474
    • 3e75385 Update version numbers to 2.9.3
    • bc72c39 Merge pull request #58482 from tensorflow-jenkins/relnotes-2.9.3-25695
    • 3506c90 Update RELEASE.md
    • 8dcb48e Update RELEASE.md
    • 4f34ec8 Merge pull request #58576 from pak-laura/c2.99f03a9d3bafe902c1e6beb105b2f2417...
    • 6fc67e4 Replace CHECK with returning an InternalError on failing to create python tuple
    • 5dbe90a Merge pull request #58570 from tensorflow/r2.9-7b174a0f2e4
    • Additional commits viewable in compare view

    Dependabot compatibility score

    Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.


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    • @dependabot rebase will rebase this PR
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    • @dependabot squash and merge will squash and merge this PR after your CI passes on it
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  • pkg_resources.DistributionNotFound: The 'tensorflow==2.5.0' distribution was not found and is required by guesslang

    pkg_resources.DistributionNotFound: The 'tensorflow==2.5.0' distribution was not found and is required by guesslang

    Hi, with latest python-tensorflow 2.9.1 upgrade, guesslang stop working.

    Traceback (most recent call last):
      File "/usr/lib/python3.10/site-packages/pkg_resources/__init__.py", line 573, in _build_master
        ws.require(__requires__)
      File "/usr/lib/python3.10/site-packages/pkg_resources/__init__.py", line 891, in require
        needed = self.resolve(parse_requirements(requirements))
      File "/usr/lib/python3.10/site-packages/pkg_resources/__init__.py", line 782, in resolve
        raise VersionConflict(dist, req).with_context(dependent_req)
    pkg_resources.ContextualVersionConflict: (tensorflow 2.9.1 (/usr/lib/python3.10/site-packages), Requirement.parse('tensorflow==2.5.0'), {'guesslang'})
    
    During handling of the above exception, another exception occurred:
    
    Traceback (most recent call last):
      File "/usr/sbin/guesslang", line 33, in <module>
        sys.exit(load_entry_point('guesslang==2.2.1', 'console_scripts', 'guesslang')())
      File "/usr/sbin/guesslang", line 25, in importlib_load_entry_point
        return next(matches).load()
      File "/usr/lib/python3.10/importlib/metadata/__init__.py", line 171, in load
        module = import_module(match.group('module'))
      File "/usr/lib/python3.10/importlib/__init__.py", line 126, in import_module
        return _bootstrap._gcd_import(name[level:], package, level)
      File "<frozen importlib._bootstrap>", line 1050, in _gcd_import
      File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
      File "<frozen importlib._bootstrap>", line 992, in _find_and_load_unlocked
      File "<frozen importlib._bootstrap>", line 241, in _call_with_frames_removed
      File "<frozen importlib._bootstrap>", line 1050, in _gcd_import
      File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
      File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked
      File "<frozen importlib._bootstrap>", line 688, in _load_unlocked
      File "<frozen importlib._bootstrap_external>", line 883, in exec_module
      File "<frozen importlib._bootstrap>", line 241, in _call_with_frames_removed
      File "/usr/lib/python3.10/site-packages/guesslang/__init__.py", line 16, in <module>
        from guesslang.guess import Guess, GuesslangError  # noqa: F401
      File "/usr/lib/python3.10/site-packages/guesslang/guess.py", line 10, in <module>
        from guesslang import model
      File "/usr/lib/python3.10/site-packages/guesslang/model.py", line 11, in <module>
        import tensorflow as tf
      File "/usr/lib/python3.10/site-packages/tensorflow/__init__.py", line 37, in <module>
        from tensorflow.python.tools import module_util as _module_util
      File "/usr/lib/python3.10/site-packages/tensorflow/python/__init__.py", line 45, in <module>
        from tensorflow.python.feature_column import feature_column_lib as feature_column
      File "/usr/lib/python3.10/site-packages/tensorflow/python/feature_column/feature_column_lib.py", line 18, in <module>
        from tensorflow.python.feature_column.feature_column import *
      File "/usr/lib/python3.10/site-packages/tensorflow/python/feature_column/feature_column.py", line 143, in <module>
        from tensorflow.python.layers import base
      File "/usr/lib/python3.10/site-packages/tensorflow/python/layers/base.py", line 16, in <module>
        from tensorflow.python.keras.legacy_tf_layers import base
      File "/usr/lib/python3.10/site-packages/tensorflow/python/keras/__init__.py", line 25, in <module>
        from tensorflow.python.keras import models
      File "/usr/lib/python3.10/site-packages/tensorflow/python/keras/models.py", line 20, in <module>
        from tensorflow.python.keras import metrics as metrics_module
      File "/usr/lib/python3.10/site-packages/tensorflow/python/keras/metrics.py", line 34, in <module>
        from tensorflow.python.keras import activations
      File "/usr/lib/python3.10/site-packages/tensorflow/python/keras/activations.py", line 18, in <module>
        from tensorflow.python.keras.layers import advanced_activations
      File "/usr/lib/python3.10/site-packages/tensorflow/python/keras/layers/__init__.py", line 68, in <module>
        from tensorflow.python.keras.layers.core import Masking
      File "/usr/lib/python3.10/site-packages/tensorflow/python/keras/layers/core.py", line 54, in <module>
        from tensorflow.python.ops import standard_ops
      File "/usr/lib/python3.10/site-packages/tensorflow/python/ops/standard_ops.py", line 108, in <module>
        from tensorflow.python.compiler.tensorrt import trt_convert as trt
      File "/usr/lib/python3.10/site-packages/tensorflow/python/compiler/tensorrt/__init__.py", line 18, in <module>
        from tensorflow.python.compiler.tensorrt import trt_convert as trt
      File "/usr/lib/python3.10/site-packages/tensorflow/python/compiler/tensorrt/trt_convert.py", line 30, in <module>
        from tensorflow.python.compiler.tensorrt import utils as trt_utils
      File "/usr/lib/python3.10/site-packages/tensorflow/python/compiler/tensorrt/utils.py", line 17, in <module>
        from distutils import version
      File "/usr/lib/python3.10/site-packages/setuptools/__init__.py", line 16, in <module>
        import setuptools.version
      File "/usr/lib/python3.10/site-packages/setuptools/version.py", line 1, in <module>
        import pkg_resources
      File "/usr/lib/python3.10/site-packages/pkg_resources/__init__.py", line 3317, in <module>
        def _initialize_master_working_set():
      File "/usr/lib/python3.10/site-packages/pkg_resources/__init__.py", line 3291, in _call_aside
        f(*args, **kwargs)
      File "/usr/lib/python3.10/site-packages/pkg_resources/__init__.py", line 3329, in _initialize_master_working_set
        working_set = WorkingSet._build_master()
      File "/usr/lib/python3.10/site-packages/pkg_resources/__init__.py", line 575, in _build_master
        return cls._build_from_requirements(__requires__)
      File "/usr/lib/python3.10/site-packages/pkg_resources/__init__.py", line 588, in _build_from_requirements
        dists = ws.resolve(reqs, Environment())
      File "/usr/lib/python3.10/site-packages/pkg_resources/__init__.py", line 777, in resolve
        raise DistributionNotFound(req, requirers)
    pkg_resources.DistributionNotFound: The 'tensorflow==2.5.0' distribution was not found and is required by guesslang
    
  • update to tensorflow 2.8.0

    update to tensorflow 2.8.0

    You install_requires is taken from requirements.txt where the version number is fixed. This is usually not a good idea, because you prevent Python users to update their installation when guesslang is installed. (Remember Python doesn't install packages locally, per package, but globally.)

    A better solution is to provide a version range, usually between major versions, e.g.,

    tensorflow >=2, <3
    

    There are quite a few other things that could be improved in an around metadata handling in guesslang.

  • dependency error when install this

    dependency error when install this

    python version: 3.10 os: manjaro 21

    Here is the install output:

    Defaulting to user installation because normal site-packages is not writeable
    Requirement already satisfied: guesslang in /usr/lib/python3.10/site-packages/guesslang-2.2.2-py3.10.egg (2.2.2)
    Collecting guesslang
      Downloading guesslang-2.2.1-py3-none-any.whl (2.5 MB)
         |████████████████████████████████| 2.5 MB 210 kB/s
      Downloading guesslang-2.2.0-py3-none-any.whl (2.5 MB)
         |████████████████████████████████| 2.5 MB 12.8 MB/s
      Downloading guesslang-2.0.3-py3-none-any.whl (2.1 MB)
         |████████████████████████████████| 2.1 MB 12.4 MB/s
      Downloading guesslang-2.0.1-py3-none-any.whl (2.1 MB)
         |████████████████████████████████| 2.1 MB 12.9 MB/s
      Downloading guesslang-2.0.0-py3-none-any.whl (13.0 MB)
         |████████████████████████████████| 13.0 MB 12.0 MB/s
      Downloading guesslang-0.9.3-py3-none-any.whl (3.2 MB)
         |████████████████████████████████| 3.2 MB 11.8 MB/s
    Requirement already satisfied: numpy in /home/lizhe/.local/lib/python3.10/site-packages (from guesslang) (1.22.1)
      Downloading guesslang-0.9.1-py3-none-any.whl (3.2 MB)
         |████████████████████████████████| 3.2 MB 12.5 MB/s
    Collecting numpy<1.13,>=1.12
      Downloading numpy-1.12.1.zip (4.8 MB)
         |████████████████████████████████| 4.8 MB 13.5 MB/s
      Preparing metadata (setup.py) ... done
    ERROR: Cannot install guesslang==0.9.1, guesslang==0.9.3, guesslang==2.0.0, guesslang==2.0.1, guesslang==2.0.3, guesslang==2.2.0, guesslang==2.2.1 and guesslang==2.2.2 because these package versions have conflicting dependencies.
    
    The conflict is caused by:
        guesslang 2.2.2 depends on tensorflow==2.5.0
        guesslang 2.2.1 depends on tensorflow==2.5.0
        guesslang 2.2.0 depends on tensorflow==2.5.0
        guesslang 2.0.3 depends on tensorflow==2.5.0
        guesslang 2.0.1 depends on tensorflow==2.2.0
        guesslang 2.0.0 depends on tensorflow==2.2.0
        guesslang 0.9.3 depends on tensorflow==1.7.0rc1
        guesslang 0.9.1 depends on tensorflow==1.1.0
    
    To fix this you could try to:
    1. loosen the range of package versions you've specified
    2. remove package versions to allow pip attempt to solve the dependency conflict
    
    ERROR: ResolutionImpossible: for help visit https://pip.pypa.io/en/latest/user_guide/#fixing-conflicting-dependencies
    
Collects all accepted (partial and full scored) codes submitted within the given timeframe and saves them locally for plagiarism check.
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Dec 28, 2021
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"Always code as if the guy who ends up maintaining your code will be a violent psychopath who knows where you live." ― John F. Woods coala provides a

Dec 5, 2022
Learning source code review, spot vulnerability, find some ways how to fix it.

Learn Source Code Review Learning source code review, spot vulnerability, find some ways how to fix it. WordPress Plugin Authenticated Stored XSS on C

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🦔 PostHog is developer-friendly, open-source product analytics.
🦔 PostHog is developer-friendly, open-source product analytics.

PostHog provides open-source product analytics, built for developers. Automate the collection of every event on your website or app, with no need to send data to 3rd parties. With just 1 click you can deploy on your own infrastructure, having full API/SQL access to the underlying data.

Dec 1, 2022
Robocop is a tool that performs static code analysis of Robot Framework code.
Robocop is a tool that performs static code analysis of Robot Framework code.

Robocop Introduction Documentation Values Requirements Installation Usage Example Robotidy FAQ Watch our talk from RoboCon 2021 about Robocop and Robo

Nov 23, 2022
CodeAnalysis - Static Code Analysis: a code comprehensive analysis platform
CodeAnalysis - Static Code Analysis: a code comprehensive analysis platform

TCA, Tencent Cloud Code Analysis English | 简体中文 What is TCA Tencent Cloud Code A

Dec 5, 2022
Turn your Python and Javascript code into DOT flowcharts
Turn your Python and Javascript code into DOT flowcharts

Notes from 2017 This is an older project which I am no longer working on. It was built before ES6 existed and before Python 3 had much usage. While it

Nov 28, 2022
Find dead Python code

Vulture - Find dead code Vulture finds unused code in Python programs. This is useful for cleaning up and finding errors in large code bases. If you r

Nov 30, 2022
Code audit tool for python.

Pylama Code audit tool for Python and JavaScript. Pylama wraps these tools: pycodestyle (formerly pep8) © 2012-2013, Florent Xicluna; pydocstyle (form

Nov 30, 2022
The uncompromising Python code formatter
The uncompromising Python code formatter

The Uncompromising Code Formatter “Any color you like.” Black is the uncompromising Python code formatter. By using it, you agree to cede control over

Nov 27, 2022
A static type analyzer for Python code

pytype - ? ✔ Pytype checks and infers types for your Python code - without requiring type annotations. Pytype can: Lint plain Python code, flagging c

Nov 30, 2022
Print a directory tree structure in your Python code.

directory-structure Print a directory tree structure in your Python code. Download You can simply: pip install directory-structure Or you can also: Cl

Sep 29, 2022
An app to show the total number of lines of code written by an user.

Lines of code Have you ever wondered how many lines of code you wrote in github? This tool will calculate it for you! To calculate the total number of

Jan 26, 2022
Python package to parse and generate C/C++ code as context aware preprocessor.

Devana Devana is a python tool that make it easy to parsing, format, transform and generate C++ (or C) code. This tool uses libclang to parse the code

Apr 3, 2022
Metrinome is an all-purpose tool for working with code complexity metrics.
Metrinome is an all-purpose tool for working with code complexity metrics.

Overview Metrinome is an all-purpose tool for working with code complexity metrics. It can be used as both a REPL and API, and includes: Converters to

Sep 27, 2022
Find usage statistics (imports, function calls, attribute access) for Python code-bases

Python Library stats This is a small library that allows you to query some useful statistics for Python code-bases. We currently report library import

May 2, 2022
A very minimalistic python module that lets you track the time your code snippets take to run.

Clock Keeper A very minimalistic python module that lets you track the time your code snippets take to run. This package is available on PyPI! Run the

Jan 19, 2022
A simple stopwatch for measuring code performance with static typing.

A simple stopwatch for measuring code performance. This is a fork from python-stopwatch, which adds static typing and a few other things.

Feb 18, 2022