Add sparse_ir module

.vscode/settings.json

@@ -0,0 +1,7 @@
+{
+    "python.testing.pytestArgs": [
+        "."
+    ],
+    "python.testing.unittestEnabled": false,
+    "python.testing.pytestEnabled": true
+}

src/pylibsparseir/core.py

@@ -10,7 +10,7 @@
 import numpy as np
 
 from .ctypes_wrapper import spir_kernel, spir_sve_result, spir_basis, spir_funcs, spir_sampling
-from .constants import COMPUTATION_SUCCESS, ORDER_ROW_MAJOR, SPIR_TWORK_FLOAT64, SPIR_TWORK_FLOAT64X2
+from pylibsparseir.constants import COMPUTATION_SUCCESS, ORDER_ROW_MAJOR, SPIR_TWORK_FLOAT64, SPIR_TWORK_FLOAT64X2
 
 def _find_library():
     """Find the SparseIR shared library."""

src/pylibsparseir/basis.py → src/sparse_ir/basis.py

@@ -3,8 +3,8 @@
 """
 from typing import Optional
 import numpy as np
-from .core import basis_new, basis_get_size, basis_get_svals, basis_get_u, basis_get_v, basis_get_uhat, basis_get_default_tau_sampling_points, basis_get_default_omega_sampling_points, basis_get_default_matsubara_sampling_points
-from .constants import STATISTICS_FERMIONIC, STATISTICS_BOSONIC
+from pylibsparseir.core import basis_new, basis_get_size, basis_get_svals, basis_get_u, basis_get_v, basis_get_uhat, basis_get_default_tau_sampling_points, basis_get_default_omega_sampling_points, basis_get_default_matsubara_sampling_points
+from pylibsparseir.constants import STATISTICS_FERMIONIC, STATISTICS_BOSONIC
 from .kernel import LogisticKernel
 from .abstract import AbstractBasis
 from .sve import SVEResult
@@ -137,7 +137,7 @@ def default_omega_sampling_points(self, npoints=None):
         ndarray
             Default omega sampling points
         """
-        from .core import basis_get_default_omega_sampling_points
+        from pylibsparseir.core import basis_get_default_omega_sampling_points
         return basis_get_default_omega_sampling_points(self._ptr)
 
     def default_matsubara_sampling_points(self, npoints=None, positive_only=False):

src/pylibsparseir/dlr.py → src/sparse_ir/dlr.py

@@ -8,9 +8,9 @@
 import ctypes
 import numpy as np
 from .abstract import AbstractBasis
-from .core import basis_get_default_omega_sampling_points
-from .core import _lib, COMPUTATION_SUCCESS
-from .constants import SPIR_ORDER_ROW_MAJOR
+from pylibsparseir.core import basis_get_default_omega_sampling_points
+from pylibsparseir.core import _lib, COMPUTATION_SUCCESS
+from pylibsparseir.constants import SPIR_ORDER_ROW_MAJOR
 
 class DiscreteLehmannRepresentation(AbstractBasis):
     """

src/pylibsparseir/kernel.py → src/sparse_ir/kernel.py

@@ -8,10 +8,10 @@
 from ctypes import c_int, c_double, byref
 import numpy as np
 
-from .core import _lib
-from .core import logistic_kernel_new, reg_bose_kernel_new
-from .constants import COMPUTATION_SUCCESS
-from pylibsparseir.abstract import AbstractKernel
+from pylibsparseir.core import _lib
+from pylibsparseir.core import logistic_kernel_new, reg_bose_kernel_new
+from pylibsparseir.constants import COMPUTATION_SUCCESS
+from .abstract import AbstractKernel
 
 
 def kernel_domain(kernel: AbstractKernel):

src/pylibsparseir/sampling.py → src/sparse_ir/sampling.py

@@ -4,8 +4,8 @@
 
 import numpy as np
 from ctypes import POINTER, c_double, c_int, byref
-from .core import c_double_complex, tau_sampling_new, matsubara_sampling_new, _lib
-from .constants import COMPUTATION_SUCCESS, SPIR_ORDER_ROW_MAJOR
+from pylibsparseir.core import c_double_complex, tau_sampling_new, matsubara_sampling_new, _lib
+from pylibsparseir.constants import COMPUTATION_SUCCESS, SPIR_ORDER_ROW_MAJOR
 
 
 class TauSampling:

src/pylibsparseir/sve.py → src/sparse_ir/sve.py

@@ -7,8 +7,8 @@
 import ctypes
 from ctypes import c_int, byref
 
-from .core import _lib, sve_result_new, sve_result_get_svals, sve_result_get_size
-from .constants import COMPUTATION_SUCCESS, ORDER_ROW_MAJOR
+from pylibsparseir.core import _lib, sve_result_new, sve_result_get_svals, sve_result_get_size
+from pylibsparseir.constants import COMPUTATION_SUCCESS, ORDER_ROW_MAJOR
 from .abstract import AbstractKernel
 from .kernel import LogisticKernel, RegularizedBoseKernel
 

tests/c_api/dlr_tests.py

@@ -9,7 +9,7 @@
 import numpy as np
 import ctypes
 from ctypes import c_int, c_double, byref, POINTER
-from pylibsparseir.kernel import LogisticKernel, RegularizedBoseKernel
+from sparse_ir.kernel import LogisticKernel, RegularizedBoseKernel
 
 from pylibsparseir.core import (
     _lib,

tests/conftest.py

@@ -9,7 +9,7 @@
 import numpy as np
 import pylibsparseir
 
-from pylibsparseir.kernel import LogisticKernel, RegularizedBoseKernel
+from sparse_ir.kernel import LogisticKernel, RegularizedBoseKernel
 
 @pytest.fixture(scope="session")
 def sve_logistic():