maint: update API for new multi-processing fftvis

.pre-commit-config.yaml

@@ -17,42 +17,12 @@ repos:
   - id: requirements-txt-fixer
   - id: mixed-line-ending
     args: ['--fix=no']
--   repo: https://github.com/PyCQA/flake8
-    rev: 7.1.1  # pick a git hash / tag to point to
-    hooks:
-    -   id: flake8
-        additional_dependencies:
-          - flake8-rst-docstrings
-          #- flake8-docstrings  # not available for flake8>5
-          - flake8-builtins
-          - flake8-rst-docstrings
-          - flake8-rst
-#          - flake8-markdown    # not available for flake8>5 (check later...)
-          - flake8-bugbear
-          - flake8-comprehensions
-          - flake8-print
-
-- repo: https://github.com/psf/black-pre-commit-mirror
-  rev: 24.10.0
-  hooks:
-    - id: black
 
 - repo: https://github.com/pre-commit/pygrep-hooks
   rev: v1.10.0
   hooks:
     - id: rst-backticks
 
-- repo: https://github.com/PyCQA/isort
-  rev: 5.13.2
-  hooks:
-  - id: isort
-
-- repo: https://github.com/asottile/pyupgrade
-  rev: v3.19.0
-  hooks:
-  - id: pyupgrade
-    args: [--py39-plus]
-
 - repo: https://github.com/asottile/setup-cfg-fmt
   rev: v2.7.0
   hooks:

config_examples/simulator.yaml

@@ -1,4 +1,2 @@
 simulator: MatVis
 precision: 2
-ref_time: mean
-correct_source_positions: true

docs/tutorials/mutual_coupling_example.ipynb

@@ -26,13 +26,23 @@
      "start_time": "2023-08-08T16:18:32.286643Z"
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "basis_vector_type was not defined, defaulting to azimuth and zenith_angle.\n",
+      "2024-11-28 15:12:06,602\tINFO util.py:154 -- Missing packages: ['ipywidgets']. Run `pip install -U ipywidgets`, then restart the notebook server for rich notebook output.\n"
+     ]
+    }
+   ],
    "source": [
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "import hera_sim\n",
     "import uvtools\n",
     "from astropy import constants, units\n",
+    "from pyuvdata import UniformBeam\n",
     "\n",
     "%matplotlib inline"
    ]
@@ -118,7 +128,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 5,
    "id": "38c1c7c5",
    "metadata": {
     "ExecuteTime": {
@@ -180,7 +190,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 7,
    "id": "441e0c71",
    "metadata": {
     "ExecuteTime": {
@@ -195,7 +205,7 @@
        "(-18.49989470376238, 75.0)"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -310,7 +320,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 10,
    "id": "e060ae02",
    "metadata": {
     "ExecuteTime": {
@@ -327,7 +337,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 11,
    "id": "baa12524",
    "metadata": {
     "ExecuteTime": {
@@ -403,7 +413,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 12,
    "id": "2b5c2b48",
    "metadata": {
     "ExecuteTime": {
@@ -415,15 +425,15 @@
    "source": [
     "# Choose simple coupling parameters\n",
     "xt_kwargs = dict(\n",
-    "    uvbeam=\"uniform\",\n",
+    "    uvbeam=UniformBeam(),\n",
     "    reflection=np.ones(sim.Nfreqs) * 5e-2,\n",
     "    omega_p=np.sqrt(constants.c.si.value / freqs),\n",
     ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 13,
    "id": "b271908a",
    "metadata": {
     "ExecuteTime": {
@@ -448,7 +458,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 14,
    "id": "37b085a8",
    "metadata": {
     "ExecuteTime": {
@@ -504,7 +514,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 15,
    "id": "06832ddd",
    "metadata": {
     "ExecuteTime": {
@@ -593,7 +603,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 16,
    "id": "d31bb1a3",
    "metadata": {
     "ExecuteTime": {
@@ -618,7 +628,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 17,
    "id": "d16faf43",
    "metadata": {
     "ExecuteTime": {
@@ -662,7 +672,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 18,
    "id": "a839be0c",
    "metadata": {
     "ExecuteTime": {
@@ -688,7 +698,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 19,
    "id": "06e18a4d",
    "metadata": {
     "ExecuteTime": {
@@ -744,7 +754,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 20,
    "id": "7525463b",
    "metadata": {
     "ExecuteTime": {
@@ -790,7 +800,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 21,
    "id": "7752892c",
    "metadata": {
     "ExecuteTime": {
@@ -837,7 +847,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": ".venv",
    "language": "python",
    "name": "python3"
   },
@@ -851,7 +861,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.5"
+   "version": "3.12.6"
   },
   "toc": {
    "base_numbering": 1,