From 263ae80cc9ceaac61f9882e15bdefd5960877d25 Mon Sep 17 00:00:00 2001
From: Alexander Dunkel <alexander.dunkel@tu-dresden.de>
Date: Sun, 3 Nov 2019 05:34:50 +0100
Subject: [PATCH] Remove conda recipe from repo

---
 conda.recipe/meta.yaml | 66 ------------------------------------------
 1 file changed, 66 deletions(-)
 delete mode 100644 conda.recipe/meta.yaml

diff --git a/conda.recipe/meta.yaml b/conda.recipe/meta.yaml
deleted file mode 100644
index f8e05dc..0000000
--- a/conda.recipe/meta.yaml
+++ /dev/null
@@ -1,66 +0,0 @@
-{% set name = "tagmaps" %}
-{% set version = "0.18.1" %}
-
-package:
-  name: "{{ name|lower }}"
-  version: "{{ version }}"
-
-source:
-  url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name }}-{{ version }}.tar.gz
-  sha256: 9356e617a324b5df0b594ba69ec6b680b5efb0cd44db271b844477ac04223269
-
-build:
-  noarch: python
-  number: 0
-  entry_points:
-    - tagmaps = tagmaps.__main__:main
-  script: "{{ PYTHON }} -m pip install . --no-deps --ignore-installed -vv "
-
-requirements:
-  host:
-    - python >=3.5
-    - pip
-  run:
-    - python >=3.5
-    - shapely
-    - fiona
-    - pandas >=0.24.2
-    - pyproj >=1.9.6
-    - numpy
-    - matplotlib
-    - emoji >=0.5.1
-    - cython
-    - hdbscan >=0.8.20
-    - gdal
-    - attrs
-    - seaborn
-    - descartes
-    - regex
-    - scipy
-    - six
-    - joblib
-
-test:
-  imports:
-    - tagmaps
-  commands:
-    - tagmaps --help
-
-about:
-  home: https://github.com/Sieboldianus/TagMaps
-  license: GPL-3.0
-  license_family: GPL
-  license_file: LICENSE.md
-  summary: Tag Clustering for Tag Maps
-  description: |
-    Perform tag clustering from spatially referenced and tagged records.
-    TagMaps performs itemized or global clustering based on a list of records with
-    multiple tags (or emoji) attached. Utilizes HDBSCAN for determining cluster
-    results at specific (optional user defined) distance. Tags, Locations and
-    Emoji are processed in descending order of global occurence, alpha
-    shapes are generated for cluster point clouds. Produces two output
-    shapefiles with cluster shapes that can be visualized, e.g. in ESRI ArcGIS.
-
-extra:
-  recipe-maintainers:
-    - Sieboldianus