setup.cfg 1.6 KB

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  1. [metadata]
  2. name = UNFCCC_GHG_data
  3. version = 0.2
  4. author = Johannes Gütschow
  5. author_email = mail@johannes-guetschow.de
  6. description = Tools to read GHG data submitted to the UNFCCC using various methods
  7. long_description = file: README.md
  8. long_description_content_type = text/md
  9. url = https://github.com/JGuetschow/UNFCCC_non-AnnexI_data
  10. #project_urls =
  11. classifiers =
  12. Development Status :: 3 - Alpha
  13. Intended Audience :: Science/Research
  14. Topic :: Scientific/Engineering :: Atmospheric Science
  15. License :: OSI Approved :: Apache Software License
  16. Natural Language :: English
  17. Programming Language :: Python :: 3
  18. Programming Language :: Python :: 3.8
  19. Programming Language :: Python :: 3.9
  20. Programming Language :: Python :: 3.10
  21. license = Apache Software License 2.0
  22. license_file = LICENSE
  23. [options]
  24. packages =
  25. UNFCCC_GHG_data
  26. UNFCCC_GHG_data.UNFCCC_CRF_reader
  27. UNFCCC_GHG_data.UNFCCC_CRF_reader.crf_specifications
  28. UNFCCC_GHG_data.UNFCCC_reader
  29. UNFCCC_GHG_data.UNFCCC_downloader
  30. UNFCCC_GHG_data.UNFCCC_DI_reader
  31. UNFCCC_GHG_data.helper
  32. #UNFCCC_GHG_data.datasets
  33. python_requires = >=3.8
  34. setup_requires =
  35. setuptools_scm
  36. install_requires =
  37. bs4
  38. requests
  39. pandas
  40. selenium
  41. primap2
  42. countrynames
  43. pycountry
  44. datalad
  45. treelib
  46. camelot-py
  47. opencv-python
  48. ghostscript
  49. unfccc_di_api
  50. dask
  51. [options.extras_require]
  52. dev =
  53. pip
  54. wheel
  55. bs4
  56. requests
  57. pandas
  58. selenium
  59. primap2
  60. countrynames
  61. pycountry
  62. datalad
  63. treelib
  64. camelot-py
  65. opencv-python
  66. ghostscript
  67. ipykernel
  68. jupyter
  69. dask
  70. [options.package_data]
  71. * =
  72. *.csv
  73. *.nc