|
1 |
| -package: |
2 |
| - name: filterpy |
3 |
| - version: "0.1.3" |
4 |
| - |
5 |
| -source: |
6 |
| - fn: filterpy-0.1.3.tar.gz |
7 |
| - url: https://pypi.python.org/packages/75/df/5dbf357a3da1b49af18b2be00da15c7f86397b5b263bea1b9d65b5bd51cf/filterpy-0.1.3.tar.gz |
8 |
| - md5: ba1e6fb84efaae3d21a73ba9fb563cab |
9 |
| -# patches: |
10 |
| - # List any patch files here |
11 |
| - # - fix.patch |
12 |
| - |
13 |
| -# build: |
14 |
| - # noarch_python: True |
15 |
| - # preserve_egg_dir: True |
16 |
| - # entry_points: |
17 |
| - # Put any entry points (scripts to be generated automatically) here. The |
18 |
| - # syntax is module:function. For example |
19 |
| - # |
20 |
| - # - filterpy = filterpy:main |
21 |
| - # |
22 |
| - # Would create an entry point called filterpy that calls filterpy.main() |
23 |
| - |
24 |
| - |
25 |
| - # If this is a new build for the same version, increment the build |
26 |
| - # number. If you do not include this key, it defaults to 0. |
27 |
| - # number: 1 |
28 |
| - |
29 |
| -requirements: |
30 |
| - build: |
31 |
| - - python |
32 |
| - - setuptools |
33 |
| - - numpy |
34 |
| - - scipy |
35 |
| - - matplotlib |
36 |
| - |
37 |
| - run: |
38 |
| - - python |
39 |
| - - numpy |
40 |
| - - scipy |
41 |
| - - matplotlib |
42 |
| - |
43 |
| -test: |
44 |
| - # Python imports |
45 |
| - imports: |
46 |
| - - filterpy |
47 |
| - - filterpy.common |
48 |
| - - filterpy.discrete_bayes |
49 |
| - - filterpy.examples |
50 |
| - - filterpy.gh |
51 |
| - - filterpy.hinfinity |
52 |
| - - filterpy.kalman |
53 |
| - - filterpy.leastsq |
54 |
| - - filterpy.memory |
55 |
| - - filterpy.monte_carlo |
56 |
| - - filterpy.stats |
57 |
| - |
58 |
| - # commands: |
59 |
| - # You can put test commands to be run here. Use this to test that the |
60 |
| - # entry points work. |
61 |
| - |
62 |
| - |
63 |
| - # You can also put a file called run_test.py in the recipe that will be run |
64 |
| - # at test time. |
65 |
| - |
66 |
| - # requires: |
67 |
| - # Put any additional test requirements here. For example |
68 |
| - # - nose |
69 |
| - |
70 |
| -about: |
71 |
| - home: https://github.com/rlabbe/filterpy |
72 |
| - license: MIT License |
73 |
| - summary: 'Kalman filtering and optimal estimation library' |
74 |
| - |
75 |
| -# See |
76 |
| -# http://docs.continuum.io/conda/build.html for |
77 |
| -# more information about meta.yaml |
| 1 | +package: |
| 2 | + name: filterpy |
| 3 | + version: "0.1.3" |
| 4 | + |
| 5 | +source: |
| 6 | + fn: filterpy-0.1.3.tar.gz |
| 7 | + url: https://pypi.python.org/packages/75/df/5dbf357a3da1b49af18b2be00da15c7f86397b5b263bea1b9d65b5bd51cf/filterpy-0.1.3.tar.gz |
| 8 | + md5: ba1e6fb84efaae3d21a73ba9fb563cab |
| 9 | +# patches: |
| 10 | + # List any patch files here |
| 11 | + # - fix.patch |
| 12 | + |
| 13 | +# build: |
| 14 | + # noarch_python: True |
| 15 | + # preserve_egg_dir: True |
| 16 | + # entry_points: |
| 17 | + # Put any entry points (scripts to be generated automatically) here. The |
| 18 | + # syntax is module:function. For example |
| 19 | + # |
| 20 | + # - filterpy = filterpy:main |
| 21 | + # |
| 22 | + # Would create an entry point called filterpy that calls filterpy.main() |
| 23 | + |
| 24 | + |
| 25 | + # If this is a new build for the same version, increment the build |
| 26 | + # number. If you do not include this key, it defaults to 0. |
| 27 | + # number: 1 |
| 28 | + |
| 29 | +requirements: |
| 30 | + build: |
| 31 | + - python |
| 32 | + - setuptools |
| 33 | + - numpy |
| 34 | + - scipy |
| 35 | + - matplotlib |
| 36 | + |
| 37 | + run: |
| 38 | + - python |
| 39 | + - numpy |
| 40 | + - scipy |
| 41 | + - matplotlib |
| 42 | + |
| 43 | +test: |
| 44 | + # Python imports |
| 45 | + imports: |
| 46 | + - filterpy |
| 47 | + - filterpy.common |
| 48 | + - filterpy.discrete_bayes |
| 49 | + - filterpy.examples |
| 50 | + - filterpy.gh |
| 51 | + - filterpy.hinfinity |
| 52 | + - filterpy.kalman |
| 53 | + - filterpy.leastsq |
| 54 | + - filterpy.memory |
| 55 | + - filterpy.monte_carlo |
| 56 | + - filterpy.stats |
| 57 | + |
| 58 | + # commands: |
| 59 | + # You can put test commands to be run here. Use this to test that the |
| 60 | + # entry points work. |
| 61 | + |
| 62 | + |
| 63 | + # You can also put a file called run_test.py in the recipe that will be run |
| 64 | + # at test time. |
| 65 | + |
| 66 | + # requires: |
| 67 | + # Put any additional test requirements here. For example |
| 68 | + # - nose |
| 69 | + |
| 70 | +about: |
| 71 | + home: https://github.com/rlabbe/filterpy |
| 72 | + license: MIT License |
| 73 | + summary: 'Kalman filtering and optimal estimation library' |
| 74 | + |
| 75 | +# See |
| 76 | +# http://docs.continuum.io/conda/build.html for |
| 77 | +# more information about meta.yaml |
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