More checksums updates

Examples/Physics_applications/laser_acceleration/analysis_refined_injection.py

@@ -17,7 +17,7 @@
 yt.funcs.mylog.setLevel(50)
 
 sys.path.insert(1, "../../../../warpx/Regression/Checksum/")
-import checksumAPI
+from checksumAPI import evaluate_checksum
 
 # this will be the name of the plot file
 fn = sys.argv[1]
@@ -59,5 +59,8 @@
 # Test uniformity up to 0.5% relative variation
 assert rho_slice.std() < 0.005 * abs(rho_slice.mean())
 
-test_name = os.path.split(os.getcwd())[1]
-checksumAPI.evaluate_checksum(test_name, fn)
+# compare checksums
+evaluate_checksum(
+    test_name=os.path.split(os.getcwd())[1],
+    output_file=sys.argv[1],
+)

Examples/Physics_applications/spacecraft_charging/analysis.py

@@ -23,13 +23,9 @@
 
 yt.funcs.mylog.setLevel(0)
 sys.path.insert(1, "../../../../warpx/Regression/Checksum/")
-import checksumAPI
+from checksumAPI import evaluate_checksum
 
-# Open plotfile specified in command line
 filename = sys.argv[1]
-test_name = os.path.split(os.getcwd())[1]
-checksumAPI.evaluate_checksum(test_name, filename, output_format="openpmd")
-
 ts = OpenPMDTimeSeries(filename)
 dt = 1.27e-8
 t = []
@@ -78,3 +74,10 @@ def func(x, v0, tau):
 assert (diff_v0 < tolerance_v0) and (
     diff_tau < tolerance_tau
 ), "Test spacecraft_charging did not pass"
+
+# compare checksums
+evaluate_checksum(
+    test_name=os.path.split(os.getcwd())[1],
+    output_file=sys.argv[1],
+    output_format="openpmd",
+)

Examples/Tests/accelerator_lattice/analysis.py

@@ -24,7 +24,7 @@
 
 yt.funcs.mylog.setLevel(0)
 sys.path.insert(1, "../../../../warpx/Regression/Checksum/")
-import checksumAPI
+from checksumAPI import evaluate_checksum
 
 filename = sys.argv[1]
 ds = yt.load(filename)
@@ -131,5 +131,8 @@ def applylens(x0, vx0, vz0, gamma, lens_length, lens_strength):
     "error in x particle velocity"
 )
 
-test_name = os.path.split(os.getcwd())[1]
-checksumAPI.evaluate_checksum(test_name, filename)
+# compare checksums
+evaluate_checksum(
+    test_name=os.path.split(os.getcwd())[1],
+    output_file=sys.argv[1],
+)

Examples/Tests/boosted_diags/analysis.py

@@ -27,7 +27,7 @@
 yt.funcs.mylog.setLevel(0)
 
 sys.path.insert(1, "../../../../warpx/Regression/Checksum/")
-import checksumAPI
+from checksumAPI import evaluate_checksum
 
 filename = sys.argv[1]
 
@@ -56,5 +56,8 @@
 (w,) = ts.get_particle(["w"], species="beam", iteration=3)
 assert (400 < len(w)) & (len(w) < 600)
 
-test_name = os.path.split(os.getcwd())[1]
-checksumAPI.evaluate_checksum(test_name, filename)
+# compare checksums
+evaluate_checksum(
+    test_name=os.path.split(os.getcwd())[1],
+    output_file=sys.argv[1],
+)

Examples/Tests/boundaries/analysis.py

@@ -23,7 +23,7 @@
 
 yt.funcs.mylog.setLevel(0)
 sys.path.insert(1, "../../../../warpx/Regression/Checksum/")
-import checksumAPI
+from checksumAPI import evaluate_checksum
 
 # The min and max size of the box along the three axis.
 dmin = -1.0
@@ -111,5 +111,8 @@ def do_periodic(x):
     np.abs((zz - zza) / zz) < 1.0e-15
 ), "Periodic particle position not correct"
 
-test_name = os.path.split(os.getcwd())[1]
-checksumAPI.evaluate_checksum(test_name, filename)
+# compare checksums
+evaluate_checksum(
+    test_name=os.path.split(os.getcwd())[1],
+    output_file=sys.argv[1],
+)

Examples/Tests/btd_rz/analysis.py

@@ -17,7 +17,7 @@
 from scipy.optimize import curve_fit
 
 sys.path.insert(1, "../../../../warpx/Regression/Checksum/")
-import checksumAPI
+from checksumAPI import evaluate_checksum
 
 
 def gaussian_laser(z, a0, z0_phase, z0_prop, ctau, lambda0):
@@ -58,6 +58,8 @@ def fit_function(z, z0_phase):
 ## Check that the a0 agrees within 5% of the predicted value
 assert np.allclose(Ex, Ex_fit, atol=0.18 * Ex.max())
 
-# Checksum regression analysis
-test_name = os.path.split(os.getcwd())[1]
-checksumAPI.evaluate_checksum(test_name, plotfile)
+# compare checksums
+evaluate_checksum(
+    test_name=os.path.split(os.getcwd())[1],
+    output_file=sys.argv[1],
+)

Examples/Tests/collider_relevant_diags/analysis.py

@@ -8,8 +8,8 @@
 import pandas as pd
 from scipy.constants import c, e, hbar, m_e
 
-sys.path.append("../../../../warpx/Regression/Checksum/")
-import checksumAPI
+sys.path.insert(1, "../../../../warpx/Regression/Checksum/")
+from checksumAPI import evaluate_checksum
 
 sys.path.append("../../../../warpx/Tools/Parser/")
 from input_file_parser import parse_input_file
@@ -180,7 +180,8 @@ def dL_dt():
     dL_dt_cr = df[[col for col in df.columns if "dL_dt" in col]].to_numpy()
     assert np.allclose(dL_dt_cr, dL_dt(), rtol=1e-8)
 
-# Checksum analysis
-plotfile = sys.argv[1]
-test_name = os.path.split(os.getcwd())[1]
-checksumAPI.evaluate_checksum(test_name, plotfile)
+# compare checksums
+evaluate_checksum(
+    test_name=os.path.split(os.getcwd())[1],
+    output_file=sys.argv[1],
+)

Examples/Tests/implicit/analysis_vandb_jfnk_2d.py

@@ -18,7 +18,7 @@
 from scipy.constants import e, epsilon_0
 
 sys.path.insert(1, "../../../../warpx/Regression/Checksum/")
-import checksumAPI
+from checksumAPI import evaluate_checksum
 
 # this will be the name of the plot file
 fn = sys.argv[1]
@@ -66,5 +66,8 @@
 
 assert drho_rms < tolerance_rel_charge
 
-test_name = os.path.split(os.getcwd())[1]
-checksumAPI.evaluate_checksum(test_name, fn)
+# compare checksums
+evaluate_checksum(
+    test_name=os.path.split(os.getcwd())[1],
+    output_file=sys.argv[1],
+)

Examples/Tests/initial_distribution/analysis.py

@@ -27,9 +27,7 @@
 from read_raw_data import read_reduced_diags, read_reduced_diags_histogram
 
 sys.path.insert(1, "../../../../warpx/Regression/Checksum/")
-import checksumAPI
-
-filename = sys.argv[1]
+from checksumAPI import evaluate_checksum
 
 # print tolerance
 tolerance = 0.02
@@ -451,6 +449,8 @@ def Gaussian(mean, sigma, u):
 
 assert f9_error < tolerance
 
-
-test_name = os.path.split(os.getcwd())[1]
-checksumAPI.evaluate_checksum(test_name, filename)
+# compare checksums
+evaluate_checksum(
+    test_name=os.path.split(os.getcwd())[1],
+    filename=sys.argv[1],
+)

Examples/Tests/initial_plasma_profile/analysis.py

@@ -9,16 +9,13 @@
 import os
 import sys
 
-import yt
-
-yt.funcs.mylog.setLevel(50)
-
 sys.path.insert(1, "../../../../warpx/Regression/Checksum/")
-import checksumAPI
-
-# Name of the plotfile
-fn = sys.argv[1]
-
-test_name = os.path.split(os.getcwd())[1]
-
-checksumAPI.evaluate_checksum(test_name, fn, rtol=1e-4, do_particles=False)
+from checksumAPI import evaluate_checksum
+
+# compare checksums
+evaluate_checksum(
+    test_name=os.path.split(os.getcwd())[1],
+    output_file=sys.argv[1],
+    rtol=1e-4,
+    do_particles=False,
+)