Change name to lilfilter

Author: danpovey

filter_shape/optimize_filter.py

@@ -6,7 +6,7 @@
 import torch
 import torch.nn.functional as F
 import matplotlib.pyplot as plt
-import filter_utils.filters as filters
+import lilfilter.filters as filters
 import argparse
 
 
@@ -120,7 +120,7 @@ def __main__():
     # frequency of pi, which corresponds to a frequency of 0.5.  The sampling
     # rate in the time domain (the f_t values) is D, so the relative
     # frequency of the cutoff is 0.5 / D.  (This would be the
-    # arg to filter_utils.filters.high_pass_filter).  This will make an
+    # arg to lilfilter.filters.high_pass_filter).  This will make an
     # inconveniently wide filter, though.  We are already penalizing these high
     # energies explicitly in the fourier space, up to T * pi, so we only really
     # need to penalize in the time domain for frequencies above this; that means

filter_utils/__init__.py lilfilter/__init__.py

@@ -6,14 +6,14 @@
 
 setuptools.setup(
     python_requires='>3.0.0',
-    name="filter_utils",
+    name="lilfilter",
     version="0.0.1",
     author="Daniel Povey",
     author_email="[email protected]",
     description="Utilities for filtering signals",
     long_description=long_description,
     long_description_content_type="text/markdown",
-    url="https://github.com/danpovey/filter_utils",
+    url="https://github.com/danpovey/filtering",
     packages=setuptools.find_packages(),
     install_requires=[
         'numpy', 'torch'

filter_utils/filter_function.py lilfilter/filter_function.py

@@ -6,7 +6,7 @@
 # Add .. to the PYTHONPATH
 sys.path.insert(0, os.path.join(os.path.dirname(__file__), os.pardir))
 
-import filter_utils.filter_function as f
+import lilfilter.filter_function as f
 
 
 class TestFilterFunction(unittest.TestCase):

filter_utils/filters.py lilfilter/filters.py

@@ -6,7 +6,7 @@
 # Add .. to the PYTHONPATH
 sys.path.insert(0, os.path.join(os.path.dirname(__file__), os.pardir))
 
-from filter_utils.filters import *
+from lilfilter.filters import *
 
 
 class TestIsFilter(unittest.TestCase):

filter_utils/local_amplitude.py lilfilter/local_amplitude.py

@@ -9,8 +9,8 @@
 # Add .. to the PYTHONPATH
 sys.path.insert(0, os.path.join(os.path.dirname(__file__), os.pardir))
 
-import filter_utils.multistreamer as m
-import filter_utils.local_amplitude as local
+import lilfilter.multistreamer as m
+import lilfilter.local_amplitude as local
 
 
 class TestLocalAmplitude(unittest.TestCase):

filter_utils/multistreamer.py lilfilter/multistreamer.py

@@ -9,7 +9,7 @@
 # Add .. to the PYTHONPATH
 sys.path.insert(0, os.path.join(os.path.dirname(__file__), os.pardir))
 
-import filter_utils.multistreamer as m
+import lilfilter.multistreamer as m
 
 
 class TestMultistreamer(unittest.TestCase):

filter_utils/resampler.py lilfilter/resampler.py

@@ -9,7 +9,7 @@
 # Add .. to the PYTHONPATH
 sys.path.insert(0, os.path.join(os.path.dirname(__file__), os.pardir))
 
-import filter_utils.resampler as r
+import lilfilter.resampler as r
 
 
 class TestResampler(unittest.TestCase):

filter_utils/torch_filter.py lilfilter/torch_filter.py

@@ -8,8 +8,8 @@
 # Add .. to the PYTHONPATH
 sys.path.insert(0, os.path.join(os.path.dirname(__file__), os.pardir))
 
-import filter_utils.filters as F
-import filter_utils.torch_filter as T
+import lilfilter.filters as F
+import lilfilter.torch_filter as T
 
 
 class TestTorchFilter(unittest.TestCase):