kbrajwani / resume_parser Goto Github PK

License: MIT License

Jupyter Notebook 24.47% Python 75.53%

resume_parser's Introduction

Resume parser

A resume parser used for extracting information from resumes

Built with ❤︎ and ☕ by Kumar Rajwani and Brian Njoroge

Features

Extract name
Extract email
Extract mobile numbers
Extract skills
Extract total experience
Extract college name
Extract degree
Extract designation
Extract company names

Installation

You can install this package using

pip install resume-parser

Dependency of spacy

pip install https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.3.1/en_core_web_sm-2.3.1.tar.gz
pip install importlib-metadata==3.2.0

For NLP operations we use spacy and nltk. Install them using below commands:

# spaCy
python -m spacy download en_core_web_sm

# nltk
python -m nltk.downloader stopwords
python -m nltk.downloader punkt
python -m nltk.downloader averaged_perceptron_tagger
python -m nltk.downloader universal_tagset
python -m nltk.downloader wordnet
python -m nltk.downloader brown
python -m nltk.downloader maxent_ne_chunker

Supported File Formats

PDF and DOCx and TXT files are supported on all Operating Systems

Usage

Import it in your Python project

from resume_parser import resumeparse

data = resumeparse.read_file('/path/to/resume/file')

For first time it will take around a minute so please keep patience.

Result

The module would return a dictionary with result as follows:

{'degree': ['BSc','MSc'],
     'designition': [
         'content writer',
         'data scientist',
         'systems administrator',
     ],
     'email': '[email protected]',
     'name': 'Brian Njoroge',
     'phone': '+918511593595',
     'skills': [
         'Python',
         ' C++',
         'Power BI',
         'Tensorflow',
         'Keras',
         'Pytorch',
         'Scikit-Learn',
         'Pandas',
         'NLTK',
         'OpenCv',
         'Numpy',
         'Matplotlib',
         'Seaborn',
         'Django',
         'Linux',
         'Docker'],
     'total_exp': 3,
     'university': ['gujarat university', 'wuhan university', 'egerton university']}

Custom training

You can use the following notebook to train the spacy model on your custom data. Following notebook is training the spacy model to identify the Degree in the given text. https://colab.research.google.com/drive/1aSn5tMWU2Lbo4eEPi0GvkBC_003mXxqi?usp=sharing

resume_parser's People

Contributors

Stargazers

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resume_parser's Issues

Can't read config.cfg

OSError: [E053] Could not read config.cfg from C:\Users\bhavi\AppData\Local\Programs\Python\Python39\lib\site-packages\resume_parser\degree\model\config.cfg

Unable to install resume_parser in M1. Error: the clang compiler does not support 'faltivec'

Using MacBook Air with an M1 processor.
Installing it in a Django project.
Running command pip install resume-parser gives the below error:

      clang: _configtest.c
      success!
      removing: _configtest.c _configtest.o _configtest.o.d
      C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -iwithsysroot/System/Library/Frameworks/System.framework/PrivateHeaders -iwithsysroot/Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.8/Headers -arch arm64 -arch x86_64 -Werror=implicit-function-declaration
  
      compile options: '-Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/nonstop/workspace/office/poc/ns-resume-parser/.env/include -I/Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.8/include/python3.8 -c'
      clang: _configtest.c
      success!
      removing: _configtest.c _configtest.o _configtest.o.d
      File: build/src.macosx-10.14.6-arm64-3.8/numpy/core/include/numpy/_numpyconfig.h
      #define NPY_SIZEOF_SHORT SIZEOF_SHORT
      #define NPY_SIZEOF_INT SIZEOF_INT
      #define NPY_SIZEOF_LONG SIZEOF_LONG
      #define NPY_SIZEOF_FLOAT 4
      #define NPY_SIZEOF_COMPLEX_FLOAT 8
      #define NPY_SIZEOF_DOUBLE 8
      #define NPY_SIZEOF_COMPLEX_DOUBLE 16
      #define NPY_SIZEOF_LONGDOUBLE 16
      #define NPY_SIZEOF_COMPLEX_LONGDOUBLE 32
      #define NPY_SIZEOF_PY_INTPTR_T 8
      #define NPY_SIZEOF_OFF_T 8
      #define NPY_SIZEOF_PY_LONG_LONG 8
      #define NPY_SIZEOF_LONGLONG 8
      #define NPY_NO_SMP 0
      #define NPY_HAVE_DECL_ISNAN
      #define NPY_HAVE_DECL_ISINF
      #define NPY_HAVE_DECL_ISFINITE
      #define NPY_HAVE_DECL_SIGNBIT
      #define NPY_USE_C99_COMPLEX 1
      #define NPY_HAVE_COMPLEX_DOUBLE 1
      #define NPY_HAVE_COMPLEX_FLOAT 1
      #define NPY_HAVE_COMPLEX_LONG_DOUBLE 1
      #define NPY_RELAXED_STRIDES_CHECKING 1
      #define NPY_USE_C99_FORMATS 1
      #define NPY_VISIBILITY_HIDDEN __attribute__((visibility("hidden")))
      #define NPY_ABI_VERSION 0x01000009
      #define NPY_API_VERSION 0x0000000D
  
      #ifndef __STDC_FORMAT_MACROS
      #define __STDC_FORMAT_MACROS 1
      #endif
  
      EOF
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      creating build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/umath
      conv_template:> build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/umath/funcs.inc
        adding 'build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/umath' to include_dirs.
      conv_template:> build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/umath/simd.inc
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      conv_template:> build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/umath/loops.c
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      conv_template:> build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/umath/matmul.c
      conv_template:> build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/umath/clip.h
      conv_template:> build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/umath/clip.c
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        adding 'build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/npymath' to include_dirs.
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        adding 'build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/common' to include_dirs.
      numpy.core - nothing done with h_files = ['build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/umath/funcs.inc', 'build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/umath/simd.inc', 'build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/umath/loops.h', 'build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/umath/matmul.h', 'build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/umath/clip.h', 'build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/npymath/npy_math_internal.h', 'build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/common/templ_common.h', 'build/src.macosx-10.14.6-arm64-3.8/numpy/core/include/numpy/config.h', 'build/src.macosx-10.14.6-arm64-3.8/numpy/core/include/numpy/_numpyconfig.h', 'build/src.macosx-10.14.6-arm64-3.8/numpy/core/include/numpy/__multiarray_api.h', 'build/src.macosx-10.14.6-arm64-3.8/numpy/core/include/numpy/__ufunc_api.h']
      building extension "numpy.core._umath_tests" sources
      conv_template:> build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/umath/_umath_tests.c
      building extension "numpy.core._rational_tests" sources
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      building extension "numpy.core._struct_ufunc_tests" sources
      conv_template:> build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/umath/_struct_ufunc_tests.c
      building extension "numpy.core._operand_flag_tests" sources
      conv_template:> build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/umath/_operand_flag_tests.c
      building extension "numpy.fft._pocketfft_internal" sources
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      conv_template:> build/src.macosx-10.14.6-arm64-3.8/numpy/linalg/umath_linalg.c
      building extension "numpy.random.mt19937" sources
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      copying numpy/linalg/__init__.py -> build/lib.macosx-10.14.6-arm64-3.8/numpy/linalg
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      creating build/lib.macosx-10.14.6-arm64-3.8/numpy/matrixlib
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      creating build/lib.macosx-10.14.6-arm64-3.8/numpy/polynomial
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      copying numpy/polynomial/legendre.py -> build/lib.macosx-10.14.6-arm64-3.8/numpy/polynomial
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      creating build/lib.macosx-10.14.6-arm64-3.8/numpy/random
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      creating build/lib.macosx-10.14.6-arm64-3.8/numpy/testing
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      creating build/lib.macosx-10.14.6-arm64-3.8/numpy/testing/_private
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      copying numpy/testing/_private/decorators.py -> build/lib.macosx-10.14.6-arm64-3.8/numpy/testing/_private
      running build_clib
      customize UnixCCompiler
      customize UnixCCompiler using build_clib
      building 'npymath' library
      compiling C sources
      C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -iwithsysroot/System/Library/Frameworks/System.framework/PrivateHeaders -iwithsysroot/Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.8/Headers -arch arm64 -arch x86_64 -Werror=implicit-function-declaration
  
      creating build/temp.macosx-10.14.6-arm64-3.8
      creating build/temp.macosx-10.14.6-arm64-3.8/numpy
      creating build/temp.macosx-10.14.6-arm64-3.8/numpy/core
      creating build/temp.macosx-10.14.6-arm64-3.8/numpy/core/src
      creating build/temp.macosx-10.14.6-arm64-3.8/numpy/core/src/npymath
      creating build/temp.macosx-10.14.6-arm64-3.8/build
      creating build/temp.macosx-10.14.6-arm64-3.8/build/src.macosx-10.14.6-arm64-3.8
      creating build/temp.macosx-10.14.6-arm64-3.8/build/src.macosx-10.14.6-arm64-3.8/numpy
      creating build/temp.macosx-10.14.6-arm64-3.8/build/src.macosx-10.14.6-arm64-3.8/numpy/core
      creating build/temp.macosx-10.14.6-arm64-3.8/build/src.macosx-10.14.6-arm64-3.8/numpy/core/src
      creating build/temp.macosx-10.14.6-arm64-3.8/build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/npymath
      compile options: '-Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/src/npymath -Inumpy/core/include -Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/nonstop/workspace/office/poc/ns-resume-parser/.env/include -I/Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.8/include/python3.8 -Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/src/common -Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/src/npymath -Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/src/common -Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/src/npymath -c'
      clang: numpy/core/src/npymath/npy_math.c
      clang: build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/npymath/ieee754.c
      clang: build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/npymath/npy_math_complex.c
      clang: numpy/core/src/npymath/halffloat.c
      numpy/core/src/npymath/npy_math_complex.c.src:48:33: warning: unused variable 'tiny' [-Wunused-const-variable]
      static const volatile npy_float tiny = 3.9443045e-31f;
                                      ^
      numpy/core/src/npymath/npy_math_complex.c.src:67:25: warning: unused variable 'c_halff' [-Wunused-const-variable]
      static const npy_cfloat c_halff = {0.5F, 0.0};
                              ^
      numpy/core/src/npymath/npy_math_complex.c.src:68:25: warning: unused variable 'c_if' [-Wunused-const-variable]
      static const npy_cfloat c_if = {0.0, 1.0F};
                              ^
      numpy/core/src/npymath/npy_math_complex.c.src:69:25: warning: unused variable 'c_ihalff' [-Wunused-const-variable]
      static const npy_cfloat c_ihalff = {0.0, 0.5F};
                              ^
      numpy/core/src/npymath/npy_math_complex.c.src:79:1: warning: unused function 'caddf' [-Wunused-function]
      caddf(npy_cfloat a, npy_cfloat b)
      ^
      numpy/core/src/npymath/npy_math_complex.c.src:87:1: warning: unused function 'csubf' [-Wunused-function]
      csubf(npy_cfloat a, npy_cfloat b)
      ^
      numpy/core/src/npymath/npy_math_complex.c.src:137:1: warning: unused function 'cnegf' [-Wunused-function]
      cnegf(npy_cfloat a)
      ^
      numpy/core/src/npymath/npy_math_complex.c.src:144:1: warning: unused function 'cmulif' [-Wunused-function]
      cmulif(npy_cfloat a)
      ^
      numpy/core/src/npymath/npy_math_complex.c.src:67:26: warning: unused variable 'c_half' [-Wunused-const-variable]
      static const npy_cdouble c_half = {0.5, 0.0};
                               ^
      numpy/core/src/npymath/npy_math_complex.c.src:68:26: warning: unused variable 'c_i' [-Wunused-const-variable]
      static const npy_cdouble c_i = {0.0, 1.0};
                               ^
      numpy/core/src/npymath/npy_math_complex.c.src:69:26: warning: unused variable 'c_ihalf' [-Wunused-const-variable]
      static const npy_cdouble c_ihalf = {0.0, 0.5};
                               ^
      numpy/core/src/npymath/npy_math_complex.c.src:79:1: warning: unused function 'cadd' [-Wunused-function]
      cadd(npy_cdouble a, npy_cdouble b)
      ^
      numpy/core/src/npymath/npy_math_complex.c.src:87:1: warning: unused function 'csub' [-Wunused-function]
      csub(npy_cdouble a, npy_cdouble b)
      ^
      numpy/core/src/npymath/npy_math_complex.c.src:137:1: warning: unused function 'cneg' [-Wunused-function]
      cneg(npy_cdouble a)
      ^
      numpy/core/src/npymath/npy_math_complex.c.src:144:1: warning: unused function 'cmuli' [-Wunused-function]
      cmuli(npy_cdouble a)
      ^
      numpy/core/src/npymath/npy_math_complex.c.src:67:30: warning: unused variable 'c_halfl' [-Wunused-const-variable]
      static const npy_clongdouble c_halfl = {0.5L, 0.0};
                                   ^
      numpy/core/src/npymath/npy_math_complex.c.src:68:30: warning: unused variable 'c_il' [-Wunused-const-variable]
      static const npy_clongdouble c_il = {0.0, 1.0L};
                                   ^
      numpy/core/src/npymath/npy_math_complex.c.src:69:30: warning: unused variable 'c_ihalfl' [-Wunused-const-variable]
      static const npy_clongdouble c_ihalfl = {0.0, 0.5L};
                                   ^
      numpy/core/src/npymath/npy_math_complex.c.src:79:1: warning: unused function 'caddl' [-Wunused-function]
      caddl(npy_clongdouble a, npy_clongdouble b)
      ^
      numpy/core/src/npymath/npy_math_complex.c.src:87:1: warning: unused function 'csubl' [-Wunused-function]
      csubl(npy_clongdouble a, npy_clongdouble b)
      ^
      numpy/core/src/npymath/npy_math_complex.c.src:137:1: warning: unused function 'cnegl' [-Wunused-function]
      cnegl(npy_clongdouble a)
      ^
      numpy/core/src/npymath/npy_math_complex.c.src:144:1: warning: unused function 'cmulil' [-Wunused-function]
      cmulil(npy_clongdouble a)
      ^
      22 warnings generated.
      numpy/core/src/npymath/npy_math_complex.c.src:48:33: warning: unused variable 'tiny' [-Wunused-const-variable]
      static const volatile npy_float tiny = 3.9443045e-31f;
                                      ^
      numpy/core/src/npymath/npy_math_complex.c.src:67:25: warning: unused variable 'c_halff' [-Wunused-const-variable]
      static const npy_cfloat c_halff = {0.5F, 0.0};
                              ^
      numpy/core/src/npymath/npy_math_complex.c.src:68:25: warning: unused variable 'c_if' [-Wunused-const-variable]
      static const npy_cfloat c_if = {0.0, 1.0F};
                              ^
      numpy/core/src/npymath/npy_math_complex.c.src:69:25: warning: unused variable 'c_ihalff' [-Wunused-const-variable]
      static const npy_cfloat c_ihalff = {0.0, 0.5F};
                              ^
      numpy/core/src/npymath/npy_math_complex.c.src:79:1: warning: unused function 'caddf' [-Wunused-function]
      caddf(npy_cfloat a, npy_cfloat b)
      ^
      numpy/core/src/npymath/npy_math_complex.c.src:87:1: warning: unused function 'csubf' [-Wunused-function]
      csubf(npy_cfloat a, npy_cfloat b)
      ^
      numpy/core/src/npymath/npy_math_complex.c.src:137:1: warning: unused function 'cnegf' [-Wunused-function]
      cnegf(npy_cfloat a)
      ^
      numpy/core/src/npymath/npy_math_complex.c.src:144:1: warning: unused function 'cmulif' [-Wunused-function]
      cmulif(npy_cfloat a)
      ^
      numpy/core/src/npymath/npy_math_complex.c.src:67:26: warning: unused variable 'c_half' [-Wunused-const-variable]
      static const npy_cdouble c_half = {0.5, 0.0};
                               ^
      numpy/core/src/npymath/npy_math_complex.c.src:68:26: warning: unused variable 'c_i' [-Wunused-const-variable]
      static const npy_cdouble c_i = {0.0, 1.0};
                               ^
      numpy/core/src/npymath/npy_math_complex.c.src:69:26: warning: unused variable 'c_ihalf' [-Wunused-const-variable]
      static const npy_cdouble c_ihalf = {0.0, 0.5};
                               ^
      numpy/core/src/npymath/npy_math_complex.c.src:79:1: warning: unused function 'cadd' [-Wunused-function]
      cadd(npy_cdouble a, npy_cdouble b)
      ^
      numpy/core/src/npymath/npy_math_complex.c.src:87:1: warning: unused function 'csub' [-Wunused-function]
      csub(npy_cdouble a, npy_cdouble b)
      ^
      numpy/core/src/npymath/npy_math_complex.c.src:137:1: warning: unused function 'cneg' [-Wunused-function]
      cneg(npy_cdouble a)
      ^
      numpy/core/src/npymath/npy_math_complex.c.src:144:1: warning: unused function 'cmuli' [-Wunused-function]
      cmuli(npy_cdouble a)
      ^
      numpy/core/src/npymath/npy_math_complex.c.src:67:30: warning: unused variable 'c_halfl' [-Wunused-const-variable]
      static const npy_clongdouble c_halfl = {0.5L, 0.0};
                                   ^
      numpy/core/src/npymath/npy_math_complex.c.src:68:30: warning: unused variable 'c_il' [-Wunused-const-variable]
      static const npy_clongdouble c_il = {0.0, 1.0L};
                                   ^
      numpy/core/src/npymath/npy_math_complex.c.src:69:30: warning: unused variable 'c_ihalfl' [-Wunused-const-variable]
      static const npy_clongdouble c_ihalfl = {0.0, 0.5L};
                                   ^
      numpy/core/src/npymath/npy_math_complex.c.src:79:1: warning: unused function 'caddl' [-Wunused-function]
      caddl(npy_clongdouble a, npy_clongdouble b)
      ^
      numpy/core/src/npymath/npy_math_complex.c.src:87:1: warning: unused function 'csubl' [-Wunused-function]
      csubl(npy_clongdouble a, npy_clongdouble b)
      ^
      numpy/core/src/npymath/npy_math_complex.c.src:137:1: warning: unused function 'cnegl' [-Wunused-function]
      cnegl(npy_clongdouble a)
      ^
      numpy/core/src/npymath/npy_math_complex.c.src:144:1: warning: unused function 'cmulil' [-Wunused-function]
      cmulil(npy_clongdouble a)
      ^
      22 warnings generated.
      ar: adding 4 object files to build/temp.macosx-10.14.6-arm64-3.8/libnpymath.a
      warning: /Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin/ranlib: archive library: build/temp.macosx-10.14.6-arm64-3.8/libnpymath.a will be fat and ar(1) will not be able to operate on it
      ranlib:@ build/temp.macosx-10.14.6-arm64-3.8/libnpymath.a
      building 'npysort' library
      compiling C sources
      C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -iwithsysroot/System/Library/Frameworks/System.framework/PrivateHeaders -iwithsysroot/Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.8/Headers -arch arm64 -arch x86_64 -Werror=implicit-function-declaration
  
      creating build/temp.macosx-10.14.6-arm64-3.8/build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/npysort
      compile options: '-Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/nonstop/workspace/office/poc/ns-resume-parser/.env/include -I/Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.8/include/python3.8 -Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/src/common -Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/src/npymath -Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/src/common -Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/src/npymath -c'
      clang: build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/npysort/mergesort.c
      clang: build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/npysort/quicksort.c
      clang: build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/npysort/timsort.c
      clang: build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/npysort/heapsort.c
      clang: build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/npysort/radixsort.c
      clang: build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/npysort/selection.c
      clang: build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/npysort/binsearch.c
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      22 warnings generated.
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      22 warnings generated.
      ar: adding 7 object files to build/temp.macosx-10.14.6-arm64-3.8/libnpysort.a
      warning: /Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin/ranlib: archive library: build/temp.macosx-10.14.6-arm64-3.8/libnpysort.a will be fat and ar(1) will not be able to operate on it
      ranlib:@ build/temp.macosx-10.14.6-arm64-3.8/libnpysort.a
      running build_ext
      customize UnixCCompiler
      customize UnixCCompiler using build_ext
      building 'numpy.core._dummy' extension
      compiling C sources
      C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -iwithsysroot/System/Library/Frameworks/System.framework/PrivateHeaders -iwithsysroot/Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.8/Headers -arch arm64 -arch x86_64 -Werror=implicit-function-declaration
  
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/nonstop/workspace/office/poc/ns-resume-parser/.env/include -I/Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.8/include/python3.8 -Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/src/common -Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/src/npymath -Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/src/common -Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/src/npymath -c'
      clang: numpy/core/src/dummymodule.c
      clang -bundle -undefined dynamic_lookup -arch arm64 -arch x86_64 -Wl,-headerpad,0x1000 build/temp.macosx-10.14.6-arm64-3.8/numpy/core/src/dummymodule.o -Lbuild/temp.macosx-10.14.6-arm64-3.8 -o build/lib.macosx-10.14.6-arm64-3.8/numpy/core/_dummy.cpython-38-darwin.so
      building 'numpy.core._multiarray_tests' extension
      compiling C sources
      C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -iwithsysroot/System/Library/Frameworks/System.framework/PrivateHeaders -iwithsysroot/Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.8/Headers -arch arm64 -arch x86_64 -Werror=implicit-function-declaration
  
      creating build/temp.macosx-10.14.6-arm64-3.8/build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/multiarray
      creating build/temp.macosx-10.14.6-arm64-3.8/numpy/core/src/common
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/nonstop/workspace/office/poc/ns-resume-parser/.env/include -I/Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.8/include/python3.8 -Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/src/common -Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/src/npymath -Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/src/common -Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/src/npymath -c'
      clang: build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/multiarray/_multiarray_tests.c
      clang: numpy/core/src/common/mem_overlap.c
      clang -bundle -undefined dynamic_lookup -arch arm64 -arch x86_64 -Wl,-headerpad,0x1000 build/temp.macosx-10.14.6-arm64-3.8/build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/multiarray/_multiarray_tests.o build/temp.macosx-10.14.6-arm64-3.8/numpy/core/src/common/mem_overlap.o -Lbuild/temp.macosx-10.14.6-arm64-3.8 -lnpymath -o build/lib.macosx-10.14.6-arm64-3.8/numpy/core/_multiarray_tests.cpython-38-darwin.so
      building 'numpy.core._multiarray_umath' extension
      compiling C sources
      C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -iwithsysroot/System/Library/Frameworks/System.framework/PrivateHeaders -iwithsysroot/Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.8/Headers -arch arm64 -arch x86_64 -Werror=implicit-function-declaration
  
      creating build/temp.macosx-10.14.6-arm64-3.8/numpy/core/src/multiarray
      creating build/temp.macosx-10.14.6-arm64-3.8/numpy/core/src/umath
      creating build/temp.macosx-10.14.6-arm64-3.8/build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/umath
      creating build/temp.macosx-10.14.6-arm64-3.8/private
      creating build/temp.macosx-10.14.6-arm64-3.8/private/var
      creating build/temp.macosx-10.14.6-arm64-3.8/private/var/folders
      creating build/temp.macosx-10.14.6-arm64-3.8/private/var/folders/_s
      creating build/temp.macosx-10.14.6-arm64-3.8/private/var/folders/_s/6bjn5pcj0cj6j8m2vvb86_x40000gn
      creating build/temp.macosx-10.14.6-arm64-3.8/private/var/folders/_s/6bjn5pcj0cj6j8m2vvb86_x40000gn/T
      creating build/temp.macosx-10.14.6-arm64-3.8/private/var/folders/_s/6bjn5pcj0cj6j8m2vvb86_x40000gn/T/pip-install-ek259rj2
      creating build/temp.macosx-10.14.6-arm64-3.8/private/var/folders/_s/6bjn5pcj0cj6j8m2vvb86_x40000gn/T/pip-install-ek259rj2/numpy
      creating build/temp.macosx-10.14.6-arm64-3.8/private/var/folders/_s/6bjn5pcj0cj6j8m2vvb86_x40000gn/T/pip-install-ek259rj2/numpy/numpy
      creating build/temp.macosx-10.14.6-arm64-3.8/private/var/folders/_s/6bjn5pcj0cj6j8m2vvb86_x40000gn/T/pip-install-ek259rj2/numpy/numpy/_build_utils
      creating build/temp.macosx-10.14.6-arm64-3.8/private/var/folders/_s/6bjn5pcj0cj6j8m2vvb86_x40000gn/T/pip-install-ek259rj2/numpy/numpy/_build_utils/src
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/src/umath -Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/src/npymath -Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/nonstop/workspace/office/poc/ns-resume-parser/.env/include -I/Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.8/include/python3.8 -Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/src/common -Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/src/npymath -Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/src/common -Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/src/npymath -c'
      extra options: '-faltivec -I/System/Library/Frameworks/vecLib.framework/Headers'
      clang: numpy/core/src/multiarray/alloc.c
      clang: numpy/core/src/multiarray/buffer.c
      clang: numpy/core/src/multiarray/array_assign_scalar.c
      clang: numpy/core/src/multiarray/conversion_utils.c
      clang: numpy/core/src/multiarray/common.c
      clang: numpy/core/src/multiarray/descriptor.c
      clang: build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/multiarray/einsum.c
      clang: numpy/core/src/multiarray/datetime_strings.c
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: numpy/core/src/multiarray/hashdescr.c
      clang: build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/multiarray/lowlevel_strided_loops.c
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: numpy/core/src/multiarray/multiarraymodule.c
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: numpy/core/src/multiarray/nditer_constr.c
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: numpy/core/src/multiarray/temp_elide.c
      clang: numpy/core/src/multiarray/vdot.c
      clang: numpy/core/src/multiarray/refcount.c
      clang: numpy/core/src/multiarray/scalarapi.c
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/umath/loops.c
      clang: numpy/core/src/umath/ufunc_object.c
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: build/src.macosx-10.14.6-arm64-3.8/numpy/core/src/umath/scalarmath.cclang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
  
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: numpy/core/src/npymath/npy_math.c
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: numpy/core/src/common/numpyos.c
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: numpy/core/src/npymath/halffloat.c
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: numpy/core/src/common/npy_longdouble.c
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: /private/var/folders/_s/6bjn5pcj0cj6j8m2vvb86_x40000gn/T/pip-install-ek259rj2/numpy/numpy/_build_utils/src/apple_sgemv_fix.c
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
      error: Command "clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -iwithsysroot/System/Library/Frameworks/System.framework/PrivateHeaders -iwithsysroot/Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.8/Headers -arch arm64 -arch x86_64 -Werror=implicit-function-declaration -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/src/umath -Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/src/npymath -Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/nonstop/workspace/office/poc/ns-resume-parser/.env/include -I/Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.8/include/python3.8 -Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/src/common -Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/src/npymath -Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/src/common -Ibuild/src.macosx-10.14.6-arm64-3.8/numpy/core/src/npymath -c numpy/core/src/multiarray/alloc.c -o build/temp.macosx-10.14.6-arm64-3.8/numpy/core/src/multiarray/alloc.o -MMD -MF build/temp.macosx-10.14.6-arm64-3.8/numpy/core/src/multiarray/alloc.o.d -faltivec -I/System/Library/Frameworks/vecLib.framework/Headers" failed with exit status 1
      ----------------------------------------
  ERROR: Command errored out with exit status 1: /Users/nonstop/workspace/office/poc/ns-resume-parser/.env/bin/python3 -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/private/var/folders/_s/6bjn5pcj0cj6j8m2vvb86_x40000gn/T/pip-install-ek259rj2/numpy/setup.py'"'"'; __file__='"'"'/private/var/folders/_s/6bjn5pcj0cj6j8m2vvb86_x40000gn/T/pip-install-ek259rj2/numpy/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' install --record /private/var/folders/_s/6bjn5pcj0cj6j8m2vvb86_x40000gn/T/pip-record-jieo9gt5/install-record.txt --single-version-externally-managed --prefix /private/var/folders/_s/6bjn5pcj0cj6j8m2vvb86_x40000gn/T/pip-build-env-bk85xao0/overlay --compile --install-headers /Users/nonstop/workspace/office/poc/ns-resume-parser/.env/include/site/python3.8/numpy Check the logs for full command output.
  WARNING: You are using pip version 19.2.3, however version 21.1.2 is available.
  You should consider upgrading via the 'pip install --upgrade pip' command.
  ----------------------------------------
ERROR: Command errored out with exit status 1: /Users/nonstop/workspace/office/poc/ns-resume-parser/.env/bin/python3 /Users/nonstop/workspace/office/poc/ns-resume-parser/.env/lib/python3.8/site-packages/pip install --ignore-installed --no-user --prefix /private/var/folders/_s/6bjn5pcj0cj6j8m2vvb86_x40000gn/T/pip-build-env-bk85xao0/overlay --no-warn-script-location --no-binary :none: --only-binary :none: -i https://pypi.org/simple -- setuptools wheel 'Cython>=0.29.21,<3' 'numpy==1.16.5; python_version=='"'"'3.7'"'"' and platform_system!='"'"'AIX'"'"'' 'numpy==1.17.3; python_version=='"'"'3.8'"'"' and platform_system!='"'"'AIX'"'"'' 'numpy==1.16.5; python_version=='"'"'3.7'"'"' and platform_system=='"'"'AIX'"'"'' 'numpy==1.17.3; python_version=='"'"'3.8'"'"' and platform_system=='"'"'AIX'"'"'' 'numpy; python_version>='"'"'3.9'"'"'' Check the logs for full command output.

Error to highlight:

      clang: numpy/core/src/multiarray/datetime_strings.c
      clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly

any recommendations how to run this on mac / linux

Installation process is broken

Following the set-up does not work since it installs an incompatible version of spacy(3.) with the resume parser.
Can be solved by uninstalling that verison and installing the lower version of spacy 2.3.5.

OSError: [E053] Could not read config.cfg from C:\Users\amite\anaconda3\lib\site-packages\resume_parser\degree\model\config.cfg

Solve this issue.

Tika server returned status: 405 Traceback (most recent call last)

UserWarning: [W031] Model 'en_training' (0.0.0) requires spaCy v2.2 and is incompatible with the current spaCy version (2.3.7). This may lead to unexpected results or runtime errors. To resolve this, download a newer compatible model or retrain your custom model with the current spaCy version. For more details and available updates, run: python -m spacy validate warnings.warn(warn_msg) 2022-09-05 11:48:31,309 [MainThread ] [WARNI] Tika server returned status: 405 Traceback (most recent call last): File "D:\websites\test_site\run.py", line 6, in result = resumeparse.read_file(filepath) File

Getting this error please help........ Bcz of this error i am not able to fetch total_exp and data assign to that

Hey i trained my custom model with the provided link now how am i suppose to use it,

I saw the script inside the resume_parser and saw that you guys are using the "en_core_web_sm" version of the model
but i trained my model now how am i suppose to utilize it ?
i used your provided training-data.json so what should be the next steps thanks in advance.

Question: How were the custom spacy models trained?

Spacy has progressed to major version 3.x.x. Is it possible to update the package as well as to choose the underlying language model?

How were the custom models trained and on what were they trained? So that they can be iterated on?

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