renaming package

Cargo.lock

@@ -283,6 +283,17 @@ version = "0.2.105"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "869d572136620d55835903746bcb5cdc54cb2851fd0aeec53220b4bb65ef3013"
 
+[[package]]
+name = "lightguide"
+version = "0.1.0"
+dependencies = [
+ "fftw",
+ "ndarray 0.15.3",
+ "numpy",
+ "pyo3",
+ "rayon",
+]
+
 [[package]]
 name = "lock_api"
 version = "0.4.5"
@@ -566,17 +577,6 @@ dependencies = [
  "syn",
 ]
 
-[[package]]
-name = "pyrocko-das"
-version = "0.1.0"
-dependencies = [
- "fftw",
- "ndarray 0.15.3",
- "numpy",
- "pyo3",
- "rayon",
-]
-
 [[package]]
 name = "quote"
 version = "1.0.10"

Cargo.toml

@@ -1,12 +1,12 @@
 [package]
-name = "pyrocko-das"
+name = "lightguide"
 version = "0.1.0"
 edition = "2018"
 
 # See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
 
 [lib]
-name = "pyrocko_das"
+name = "lightguide"
 crate-type = ["cdylib"]
 
 [dependencies]

lightguide/goldstein.py

@@ -13,7 +13,6 @@ from scipy.signal import butter, lfilter
 from .utils import timeit
 
 data = num.load(op.join(op.dirname(__file__), "data", "data-DAS-gfz2020wswf.npy"))
-data = num.load("/home/marius/Downloads/sample_data.npy").astype(num.float32)
 
 
 def butter_bandpass_filter(data, lowcut, highcut, fs, order=4):
@@ -96,7 +95,7 @@ def normalize_diff(data, filtered_data):
     return Normalize()(data) - Normalize()(filtered_data)
 
 
-def plot_goldstein():
+def plot_goldstein(data):
     def r(data):
         v = num.std(data)
         return -v, v
@@ -111,15 +110,13 @@ def plot_goldstein():
 
     imshow_kwargs = dict(aspect=5, cmap="viridis", vmin=-1.0, vmax=1.0)
 
-    data_bp = butter_bandpass_filter(data, 1.0, 10.0, 50.0).astype(num.float32)
-
     fig, (ax1, ax3, ax4) = plt.subplots(1, 3, sharex=True, sharey=True)
     ax1.imshow(data, **imshow_kwargs)
     # image_python = ax2.imshow(data, **imshow_kwargs)
     image_rust = ax3.imshow(data, **imshow_kwargs)
     image_diff = ax4.imshow(data, **imshow_kwargs)
 
-    ax_slider = plt.axes((0.25, 0.1, 0.65, 0.03))
+    ax_slider = plt.axes((0.25, 0.05, 0.65, 0.03))
 
     ax1.set_title("Data Input")
     # ax2.set_title("Data Filtered (Python)")
@@ -151,11 +148,12 @@ def plot_goldstein():
         # image_python.set_norm(Normalize(*r(data_filtered)))
 
         image_rust.set_data(data_filtered)
-        image_rust.set_norm(Normalize(*r(data_filtered)))
+        image_rust.set_norm(None)
 
         norm_diff = normalize_diff(data, data_filtered)
         image_diff.set_data(norm_diff)
-        image_diff.set_norm(Normalize(*r(norm_diff)))
+        image_diff.set_norm(None)
+
         fig.canvas.draw_idle()
 
     update(exponent)
@@ -171,5 +169,13 @@ def plot_taper():
 
 
 if __name__ == "__main__":
-    # print(goldstein_rust())
-    plot_goldstein()
+    import argparse
+    import pathlib
+
+    parser = argparse.ArgumentParser()
+    parser.add_argument("npy_file", type=pathlib.Path)
+
+    args = parser.parse_args()
+    data = num.load(args.npy_file).astype(num.float32)
+
+    plot_goldstein(data)

setup.py

@@ -5,7 +5,7 @@ with open("README.md", "r", encoding="utf-8") as fh:
     long_description = fh.read()
 
 setuptools.setup(
-    name="pyrocko_das",
+    name="lightguide",
     version="0.0.1",
     author="Marius Paul Isken",
     author_email="mi@gfz-potsdam.de",
@@ -24,13 +24,13 @@ setuptools.setup(
     ],
     rust_extensions=[
         RustExtension(
-            "pyrocko_das.rust",
+            "lightguide.rust",
             path="Cargo.toml",
             binding=Binding.PyO3,
             debug=False,
         )
     ],
-    package_data={"pyrocko_das": ["data/*.npy"]},
-    packages=["pyrocko_das"],
+    package_data={"lightguide": ["data/*.npy"]},
+    packages=["lightguide"],
     python_requires=">=3.6",
 )

tests/test_gf.py

@@ -4,7 +4,7 @@ import numpy as num
 
 from copy import deepcopy
 
-from pyrocko_das import gf
+from lightguide import gf
 from pyrocko.model import Location
 from pyrocko import trace
 

tests/test_goldstein.py

@@ -2,14 +2,14 @@ import os.path as op
 
 import numpy as num
 import pytest
-from pyrocko_das import goldstein, rust
+from lightguide import goldstein, rust
 
 
 @pytest.fixture
 def data():
-    import pyrocko_das
+    import lightguide
 
-    das_dir = pyrocko_das.__file__
+    das_dir = lightguide.__file__
     return num.load(op.join(op.dirname(das_dir), "data", "data-DAS-gfz2020wswf.npy"))
 
 

tests/test_restitution.py

@@ -1,5 +1,5 @@
 import numpy as num
-from pyrocko_das import restitution as res
+from lightguide import restitution as res
 
 from pyrocko import trace