From 3ab47288d1b33df740b56ec098fe326d801325b7 Mon Sep 17 00:00:00 2001
From: "aframe.online" <aframe.online@aframe.ldas.cit>
Date: Thu, 26 Mar 2026 14:07:09 -0700
Subject: [PATCH 01/27] Use kafka for GDB submission and fix misc bugs

---
 projects/online/online/main.py      | 11 +++++----
 projects/online/online/utils/gdb.py |  9 ++++++++
 projects/online/pyproject.toml      |  2 +-
 projects/online/uv.lock             | 36 +++++++++++++++++++++++++----
 4 files changed, 48 insertions(+), 10 deletions(-)

diff --git a/projects/online/online/main.py b/projects/online/online/main.py
index 69dd6d62d..561134dde 100644
--- a/projects/online/online/main.py
+++ b/projects/online/online/main.py
@@ -2,6 +2,7 @@
 import numpy as np
 import logging
 import signal
+from math import floor
 from pathlib import Path
 from queue import Empty
 from typing import Iterable, List, Optional, Tuple, Literal
@@ -53,6 +54,7 @@ def load_model(model: Architecture, weights: Path):
     arch_weights = {
         k.removeprefix("model."): v
         for k, v in checkpoint["state_dict"].items()
+        if k.startswith("model.")
     }
     model.load_state_dict(arch_weights)
     model.eval()
@@ -62,8 +64,9 @@ def load_model(model: Architecture, weights: Path):
 def load_amplfi(model: FlowArchitecture, weights: Path, num_params: int):
     model, checkpoint = load_model(model, weights)
     scaler_weights = {
-        k.removeprefix("scalar."): v
+        k.removeprefix("scaler."): v
         for k, v in checkpoint["state_dict"].items()
+        if k.startswith("scaler.")
     }
     scaler = ChannelWiseScaler(num_params)
     scaler.load_state_dict(scaler_weights)
@@ -241,7 +244,7 @@ def search(
             if X is not None:
                 logging.debug(
                     "Frame {} is not analysis ready. Using dummy values "
-                    "for inference and ignoring any triggers".format(t0)
+                    "for inference and ignoring any triggers".format(floor(t0))
                 )
                 pass
             # or if it's because frames were dropped within the stream
@@ -249,7 +252,7 @@ def search(
             else:
                 logging.warning(
                     "Missing frame files after timestep {}, "
-                    "resetting states".format(t0)
+                    "resetting states".format(floor(t0))
                 )
 
                 state = snapshotter.reset()
@@ -262,7 +265,7 @@ def search(
         elif not in_spec:
             # the frame is analysis ready, but previous frames
             # weren't, so reset our running states
-            logging.info(f"Frame {t0} is ready again, resetting states")
+            logging.info(f"Frame {floor(t0)} is ready again, resetting states")
             state = snapshotter.reset()
             input_buffer.reset()
             output_buffer.reset()
diff --git a/projects/online/online/utils/gdb.py b/projects/online/online/utils/gdb.py
index c5a81b5a3..f6630ca3f 100644
--- a/projects/online/online/utils/gdb.py
+++ b/projects/online/online/utils/gdb.py
@@ -1,3 +1,4 @@
+import certifi
 import json
 import logging
 from datetime import datetime, timezone
@@ -7,6 +8,7 @@
 import h5py
 from gwpy.time import tconvert
 from ligo.gracedb.rest import GraceDb as _GraceDb
+from ligo.gracedb.kafka import GraceDbKafkaProducer
 from ligo.skymap.tool.ligo_skymap_plot import main as ligo_skymap_plot
 from ligo.skymap.io.fits import write_sky_map
 from online.utils.searcher import Event
@@ -80,6 +82,12 @@ def __init__(
             **kwargs,
             service_url=server.service_url,
             use_auth="scitoken",
+            api_version="v2",
+        )
+        self.kafka_producer = GraceDbKafkaProducer(
+            bootstrap_servers="kafka-dev.ligo.org:9092",
+            service_url=server.service_url,
+            ca_cert_path=certifi.where()
         )
         self.server = server
         self.write_dir = write_dir
@@ -98,6 +106,7 @@ def submit(self, event: Event):
             pipeline="aframe",
             filename=str(filename),
             search="AllSky",
+            kafka=self.kafka_producer,
         )
 
         self.logger.debug("Event created")
diff --git a/projects/online/pyproject.toml b/projects/online/pyproject.toml
index b88ad2ab6..87b916288 100644
--- a/projects/online/pyproject.toml
+++ b/projects/online/pyproject.toml
@@ -22,7 +22,7 @@ dependencies = [
     "scipy<1.15",
     "matplotlib==3.9.4",
     "ligo-skymap>=2.4.0,<3",
-    "ligo-gracedb>=2.14.1",
+    "ligo-gracedb[kafka]==2.15.4",
     "tables>=3.9",
 ]
 
diff --git a/projects/online/uv.lock b/projects/online/uv.lock
index f97583ee8..4af7424a2 100644
--- a/projects/online/uv.lock
+++ b/projects/online/uv.lock
@@ -478,6 +478,8 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/8b/c5/ad5ca082b2610defc488679690df8137300c6bb396b24f783e3d74873fa4/bilby.cython-0.5.3-cp312-cp312-macosx_12_0_x86_64.whl", hash = "sha256:264ccd8ca1adabc794931ed6deb5082ad0ed4b52694be8158cb421a80a752bca", size = 351851, upload-time = "2024-08-23T15:22:07.895Z" },
     { url = "https://files.pythonhosted.org/packages/13/26/f0b46d56d278665b484ec421dc571fb28bdd81635137d00e0edc2c8fddc9/bilby.cython-0.5.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:44e5e381c2861e26a4e1fd5c591ea0c3c9a0e2f0d8c78f28f8704abf2945cd8d", size = 1014120, upload-time = "2024-08-23T15:22:09.942Z" },
     { url = "https://files.pythonhosted.org/packages/11/de/02429d598ec5ed4c70113a2c3e8b76a5b113885f85eacdcdaf19cbb6d23d/bilby.cython-0.5.3-cp312-cp312-win_amd64.whl", hash = "sha256:2758256339d7c3703014b265d3a77e0299d5c6264f962bc311c989ac453cbd60", size = 357801, upload-time = "2024-08-23T15:54:20.941Z" },
+    { url = "https://files.pythonhosted.org/packages/73/b9/e8a78c082d8708ea4cc9c65b53dfed9d1d6bc9b3a44d712811b9e55022ee/bilby_cython-0.5.3-cp311-cp311-win_amd64.whl", hash = "sha256:d39ad43c8962a32b7c561ee07f0f9fb9e656a7847b30176695007b31426d2474", size = 363731, upload-time = "2026-02-23T16:52:49.722Z" },
+    { url = "https://files.pythonhosted.org/packages/7b/a2/6a8e2a8a0721b758745e2a35f91c5ff380cf0f795408bc74b9aa8c589f0a/bilby_cython-0.5.3-cp312-cp312-win_amd64.whl", hash = "sha256:9aabbcce359c63c78cf1c1bf4d714c438a2936ddd4e061fe90b3320415dd12f6", size = 361366, upload-time = "2026-02-23T16:52:50.964Z" },
 ]
 
 [[package]]
@@ -702,6 +704,24 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/e6/75/49e5bfe642f71f272236b5b2d2691cf915a7283cc0ceda56357b61daa538/comm-0.2.2-py3-none-any.whl", hash = "sha256:e6fb86cb70ff661ee8c9c14e7d36d6de3b4066f1441be4063df9c5009f0a64d3", size = 7180, upload-time = "2024-03-12T16:53:39.226Z" },
 ]
 
+[[package]]
+name = "confluent-kafka"
+version = "2.13.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/7a/38/f5855cae6d328fa66e689d068709f91cbbd4d72e7e03959998bd43ac6b26/confluent_kafka-2.13.2.tar.gz", hash = "sha256:619d10d1d77c9821ba913b3e42a33ade7f889f3573c7f3c17b57c3056e3310f5", size = 276068, upload-time = "2026-03-02T12:53:31.457Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/71/a7/7dfee75b246f5e5f0832a27e365cd9e8050591c5f4301714672bea2375ce/confluent_kafka-2.13.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:e85dc2aaf08dcac610d20b24d252a24891440cf33c09396c957781b8a1f24015", size = 3629660, upload-time = "2026-03-02T12:52:42.595Z" },
+    { url = "https://files.pythonhosted.org/packages/93/77/bc6bca93f455e91b41b196bb208b9cbfc517442a65abae2391f1af64cd2f/confluent_kafka-2.13.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:eb1b218beeaae36b3fc94927e30df5f6d662858e766eada2369b290df0b1bff0", size = 3190013, upload-time = "2026-03-02T12:52:44.193Z" },
+    { url = "https://files.pythonhosted.org/packages/2e/ce/2ee04c1b2707b6dd7177eab40fced00b474671d2303e5096d96f3bf7e231/confluent_kafka-2.13.2-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:69b4286296504b89c0c3cd1e531d12053c633e56d2c5b477ff9000524fe24eb5", size = 3719524, upload-time = "2026-03-02T12:52:45.488Z" },
+    { url = "https://files.pythonhosted.org/packages/7c/93/5c40e2f7eae52774db6b14060254d001ae8c4ef8d4385bf2f13294dd929f/confluent_kafka-2.13.2-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:e47be4267d3feda5bf1c066f140f61e61ea28bd6ecdb60c2a52ec1a91b8903e7", size = 3976453, upload-time = "2026-03-02T12:52:47.787Z" },
+    { url = "https://files.pythonhosted.org/packages/46/85/a3d25b67470abbd4835fca714a419465323ba79dceefcdda65dfa4415c80/confluent_kafka-2.13.2-cp311-cp311-win_amd64.whl", hash = "sha256:84dd6e7f456910aa4d4763d86efa0dded7167fdf1251b51d808dec0f124f5e13", size = 4097308, upload-time = "2026-03-02T12:52:49.083Z" },
+    { url = "https://files.pythonhosted.org/packages/d9/d3/a845c6993a728b8b6bdce9b500d15c3ec3663cd95d2bbf9c1b8cfd519b17/confluent_kafka-2.13.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:e259c0d2b9a7e16211b45404f62869502246ac3d03e35a1f80720fd09d262457", size = 3635348, upload-time = "2026-03-02T12:52:50.927Z" },
+    { url = "https://files.pythonhosted.org/packages/ab/22/1cb998f7b3ee613d5b29f4b98e4a7539776eb0819b89d7c3cdd19a685692/confluent_kafka-2.13.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:77ea4ceccdbb67498787b7c02cc329c32417bb730e9383f46c74eb9c5851763c", size = 3194667, upload-time = "2026-03-02T12:52:53.468Z" },
+    { url = "https://files.pythonhosted.org/packages/11/38/8a1b12321068e8ae126e62600a55d7a1872f969e1de5ec7f602e0dba8394/confluent_kafka-2.13.2-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:a64a8967734f865f54b766553d63a40f17081cd3d2c6cfe6d3217aa7494d88fb", size = 3724453, upload-time = "2026-03-02T12:52:55.187Z" },
+    { url = "https://files.pythonhosted.org/packages/5c/06/3effa66c59a69e17cc48c69ae2533699f4321fac1b46741f2e4b1aefb1e7/confluent_kafka-2.13.2-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:e4cb7d112463ec15a01a3f0e0d20392cda6e46156a6439fcaaad2267696f5cde", size = 3980919, upload-time = "2026-03-02T12:52:56.852Z" },
+    { url = "https://files.pythonhosted.org/packages/98/22/f76a8b85fad652b4d5c0a0259c8f7bb66393d2d9f277631c754c9ebe5092/confluent_kafka-2.13.2-cp312-cp312-win_amd64.whl", hash = "sha256:44496777ff0104421b8f4bb269728e8a5e772c09f34ae813bc47110e0172ebe0", size = 4097817, upload-time = "2026-03-02T12:52:58.831Z" },
+]
+
 [[package]]
 name = "contourpy"
 version = "1.3.2"
@@ -2073,16 +2093,22 @@ wheels = [
 
 [[package]]
 name = "ligo-gracedb"
-version = "2.14.2"
+version = "2.15.4"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "cryptography" },
     { name = "igwn-auth-utils" },
     { name = "requests" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/ad/63/d42ee081193d7bbd0f449d3eb46566669207d35117e68d74518cf5e41c27/ligo_gracedb-2.14.2.tar.gz", hash = "sha256:cd93fd50c7a999f88ef969826e678bdf99e242090b6d439d230e5f4f8043f39b", size = 2396894, upload-time = "2025-04-11T15:44:18.597Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/2d/7a/6fa8ee52bb99b7d510a51686e7bd935be263031464eb38a710d458893916/ligo_gracedb-2.15.4.tar.gz", hash = "sha256:06c246f76bdded0bbb4c0471e77a69b0da95cdc97f2c6736a3966ad77667a8bb", size = 2444113, upload-time = "2026-03-25T20:23:00.73Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/d6/ad/e00cc582adb7d0f41363e94a894624a357bfeded7aa143ed9c1820ef1d2e/ligo_gracedb-2.14.2-py3-none-any.whl", hash = "sha256:6463af190ac27c136df0a074c4ea1261b407fc568a2a71a4fa04686797e725f5", size = 2454508, upload-time = "2025-04-11T15:44:17.177Z" },
+    { url = "https://files.pythonhosted.org/packages/3c/a6/075ee856218dcd9597fbfb829a60b7daf55ed877f2c0493735d7d9a8ea91/ligo_gracedb-2.15.4-py3-none-any.whl", hash = "sha256:3ac1b4dcac86d7f533b931a4ab140f37a09497eea2fbb314c40c34aac57211c2", size = 2516860, upload-time = "2026-03-25T20:22:59.234Z" },
+]
+
+[package.optional-dependencies]
+kafka = [
+    { name = "certifi" },
+    { name = "confluent-kafka" },
 ]
 
 [[package]]
@@ -2761,7 +2787,7 @@ dependencies = [
     { name = "architectures" },
     { name = "arrakis" },
     { name = "ledger" },
-    { name = "ligo-gracedb" },
+    { name = "ligo-gracedb", extra = ["kafka"] },
     { name = "ligo-skymap" },
     { name = "matplotlib" },
     { name = "ml4gw" },
@@ -2785,7 +2811,7 @@ requires-dist = [
     { name = "architectures", editable = "../../libs/architectures" },
     { name = "arrakis", specifier = ">=0.2.0,<0.3" },
     { name = "ledger", editable = "../../libs/ledger" },
-    { name = "ligo-gracedb", specifier = ">=2.14.1" },
+    { name = "ligo-gracedb", extras = ["kafka"], specifier = "==2.15.4" },
     { name = "ligo-skymap", specifier = ">=2.4.0,<3" },
     { name = "matplotlib", specifier = "==3.9.4" },
     { name = "ml4gw", specifier = ">=0.7.4" },

From 1b5cefa38232c4ca879c20b9a8e2dac5d4a34c09 Mon Sep 17 00:00:00 2001
From: "aframe.online" <aframe.online@aframe.ldas.cit>
Date: Thu, 26 Mar 2026 14:08:52 -0700
Subject: [PATCH 02/27] Pre-commit correction

---
 projects/online/online/utils/gdb.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/projects/online/online/utils/gdb.py b/projects/online/online/utils/gdb.py
index f6630ca3f..75f79910d 100644
--- a/projects/online/online/utils/gdb.py
+++ b/projects/online/online/utils/gdb.py
@@ -87,7 +87,7 @@ def __init__(
         self.kafka_producer = GraceDbKafkaProducer(
             bootstrap_servers="kafka-dev.ligo.org:9092",
             service_url=server.service_url,
-            ca_cert_path=certifi.where()
+            ca_cert_path=certifi.where(),
         )
         self.server = server
         self.write_dir = write_dir

From c761ad2832247d1c5cfc917c74fa9ced84876b5b Mon Sep 17 00:00:00 2001
From: "aframe.online" <aframe.online@aframe.ldas.cit>
Date: Thu, 26 Mar 2026 14:12:08 -0700
Subject: [PATCH 03/27] Remove version hard-pin

---
 projects/online/pyproject.toml | 2 +-
 projects/online/uv.lock        | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/projects/online/pyproject.toml b/projects/online/pyproject.toml
index 87b916288..0da8d616f 100644
--- a/projects/online/pyproject.toml
+++ b/projects/online/pyproject.toml
@@ -22,7 +22,7 @@ dependencies = [
     "scipy<1.15",
     "matplotlib==3.9.4",
     "ligo-skymap>=2.4.0,<3",
-    "ligo-gracedb[kafka]==2.15.4",
+    "ligo-gracedb[kafka]>=2.15.4",
     "tables>=3.9",
 ]
 
diff --git a/projects/online/uv.lock b/projects/online/uv.lock
index 4af7424a2..da8e66515 100644
--- a/projects/online/uv.lock
+++ b/projects/online/uv.lock
@@ -2811,7 +2811,7 @@ requires-dist = [
     { name = "architectures", editable = "../../libs/architectures" },
     { name = "arrakis", specifier = ">=0.2.0,<0.3" },
     { name = "ledger", editable = "../../libs/ledger" },
-    { name = "ligo-gracedb", extras = ["kafka"], specifier = "==2.15.4" },
+    { name = "ligo-gracedb", extras = ["kafka"], specifier = ">=2.15.4" },
     { name = "ligo-skymap", specifier = ">=2.4.0,<3" },
     { name = "matplotlib", specifier = "==3.9.4" },
     { name = "ml4gw", specifier = ">=0.7.4" },

From d7590d3f8dcd22d2beee314929941bcc33a3869b Mon Sep 17 00:00:00 2001
From: "aframe.online" <aframe.online@aframe.ldas.cit>
Date: Sat, 28 Mar 2026 05:53:23 -0700
Subject: [PATCH 04/27] Instantiate Kafka producer within the subprocess

---
 projects/online/online/monitor/main.py        |  2 +-
 projects/online/online/subprocesses/events.py | 10 ++++++++++
 projects/online/online/utils/gdb.py           | 11 ++++-------
 3 files changed, 15 insertions(+), 8 deletions(-)

diff --git a/projects/online/online/monitor/main.py b/projects/online/online/monitor/main.py
index f18e0901b..e2f04814e 100644
--- a/projects/online/online/monitor/main.py
+++ b/projects/online/online/monitor/main.py
@@ -48,7 +48,7 @@ def main(
         detected_events = [
             event
             for event in detected_event_dir.iterdir()
-            if float(event.name.split("_")[1])
+            if float(event.name.split("_")[1]) > summary_page.start_time
         ]
 
         # The event page will be created/updated only if the event directory
diff --git a/projects/online/online/subprocesses/events.py b/projects/online/online/subprocesses/events.py
index 6fb454ce0..11aa17b5c 100644
--- a/projects/online/online/subprocesses/events.py
+++ b/projects/online/online/subprocesses/events.py
@@ -3,6 +3,9 @@
 from pathlib import Path
 from typing import TYPE_CHECKING
 
+import certifi
+from ligo.gracedb.kafka import GraceDbKafkaProducer
+
 from .utils import subprocess_wrapper
 
 if TYPE_CHECKING:
@@ -23,6 +26,13 @@ def event_creation_subprocess(
 
     # override with subprocesses logger
     gdb.logger = logger
+
+    # Need to create the producer within the subprocess that uses it
+    gdb.kafka_producer = GraceDbKafkaProducer(
+        bootstrap_servers="kafka-dev.ligo.org:9092",
+        service_url=gdb.server.service_url,
+        ca_cert_path=certifi.where(),
+    )
     while True:
         event = event_queue.get()
         logger.debug("Putting event in pastro queue")
diff --git a/projects/online/online/utils/gdb.py b/projects/online/online/utils/gdb.py
index 75f79910d..661e76fe9 100644
--- a/projects/online/online/utils/gdb.py
+++ b/projects/online/online/utils/gdb.py
@@ -1,4 +1,3 @@
-import certifi
 import json
 import logging
 from datetime import datetime, timezone
@@ -8,7 +7,6 @@
 import h5py
 from gwpy.time import tconvert
 from ligo.gracedb.rest import GraceDb as _GraceDb
-from ligo.gracedb.kafka import GraceDbKafkaProducer
 from ligo.skymap.tool.ligo_skymap_plot import main as ligo_skymap_plot
 from ligo.skymap.io.fits import write_sky_map
 from online.utils.searcher import Event
@@ -84,11 +82,10 @@ def __init__(
             use_auth="scitoken",
             api_version="v2",
         )
-        self.kafka_producer = GraceDbKafkaProducer(
-            bootstrap_servers="kafka-dev.ligo.org:9092",
-            service_url=server.service_url,
-            ca_cert_path=certifi.where(),
-        )
+
+        # The kafka producer will be set in the subprocess that uses it
+        self.kafka_producer = None
+
         self.server = server
         self.write_dir = write_dir
         if logger is None:

From b201c91ffffa9a78d3a9007588110436582fa475 Mon Sep 17 00:00:00 2001
From: William Benoit <benoi090@umn.edu>
Date: Wed, 1 Apr 2026 09:38:20 -0700
Subject: [PATCH 05/27] Set http_fallback = True

---
 projects/online/online/utils/gdb.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/projects/online/online/utils/gdb.py b/projects/online/online/utils/gdb.py
index 661e76fe9..28232137a 100644
--- a/projects/online/online/utils/gdb.py
+++ b/projects/online/online/utils/gdb.py
@@ -104,6 +104,7 @@ def submit(self, event: Event):
             filename=str(filename),
             search="AllSky",
             kafka=self.kafka_producer,
+            http_fallback=True,
         )
 
         self.logger.debug("Event created")

From cbe3b9f3bd67a8c75ed324e1578013093df44aae Mon Sep 17 00:00:00 2001
From: Bhavya Gupta <bgupta1@dt-login02.delta.ncsa.illinois.edu>
Date: Mon, 13 Apr 2026 09:34:29 -0500
Subject: [PATCH 06/27] adding heterodyne functionality to aframe

---
 libs/architectures/architectures/__init__.py  |   1 +
 .../architectures/architectures/supervised.py |  38 ++++
 libs/utils/utils/preprocessing.py             | 183 ++++++++++++++++++
 projects/export/export_heterodyne.yaml        |  38 ++++
 projects/export/pyproject.toml                |   2 +-
 projects/export/uv.lock                       |   8 +-
 projects/train/configs/time_heterodyne.yaml   | 148 ++++++++++++++
 projects/train/pyproject.toml                 |   2 +-
 projects/train/train/cli.py                   |  10 +
 .../train/train/data/supervised/__init__.py   |   5 +-
 .../train/data/supervised/time_domain.py      | 113 ++++++++++-
 projects/train/uv.lock                        |  10 +-
 12 files changed, 546 insertions(+), 12 deletions(-)
 create mode 100644 projects/export/export_heterodyne.yaml
 create mode 100644 projects/train/configs/time_heterodyne.yaml

diff --git a/libs/architectures/architectures/__init__.py b/libs/architectures/architectures/__init__.py
index 7ff6db14c..350160f02 100644
--- a/libs/architectures/architectures/__init__.py
+++ b/libs/architectures/architectures/__init__.py
@@ -6,4 +6,5 @@
     SupervisedSpectrogramDomainResNet,
     SupervisedTimeDomainResNet,
     SupervisedTimeSpectrogramResNet,
+    SupervisedHeterodyneTimeDomainResNet,
 )
diff --git a/libs/architectures/architectures/supervised.py b/libs/architectures/architectures/supervised.py
index 1ade07fff..2e28e564e 100644
--- a/libs/architectures/architectures/supervised.py
+++ b/libs/architectures/architectures/supervised.py
@@ -280,3 +280,41 @@ def forward(self, X, X_spec):
         time_domain_output = self.time_domain_resnet(X)
         spec_domain_output = self.spectrogram_resnet(X_spec)
         return time_domain_output, spec_domain_output
+
+
+class SupervisedHeterodyneTimeDomainResNet(SupervisedArchitecture):
+    """
+    Time Domain ResNet that processes a Heterodyned timeseries.
+
+    Args:
+        num_chirp_masses (int): 
+            Number of chirp masses used to define the input channel
+            dimension (in_channels = num_ifos x num_chirp_masses).
+    """
+    def __init__(
+        self,
+        num_ifos: int,
+        num_chirp_masses: int,
+        layers: list[int],
+        kernel_size: int = 3,
+        zero_init_residual: bool = False,
+        groups: int = 1,
+        width_per_group: int = 64,
+        stride_type: Optional[list[Literal["stride", "dilation"]]] = None,
+        norm_layer: Optional[NormLayer] = None,
+        **kwargs,
+    ) -> None:
+        super().__init__()
+        self.time_domain_resnet = ResNet1D(
+            in_channels=num_ifos*num_chirp_masses,
+            layers=layers,
+            classes=1,
+            kernel_size=kernel_size,
+            zero_init_residual=zero_init_residual,
+            groups=groups,
+            width_per_group=width_per_group,
+            stride_type=stride_type,
+            norm_layer=norm_layer,
+        )
+    def forward(self, X):
+        return self.time_domain_resnet(X)
diff --git a/libs/utils/utils/preprocessing.py b/libs/utils/utils/preprocessing.py
index 7bc4bb78f..2fd49ea4f 100644
--- a/libs/utils/utils/preprocessing.py
+++ b/libs/utils/utils/preprocessing.py
@@ -1,13 +1,16 @@
 from collections.abc import Callable
 
+import math
 import torch
 from torch import Tensor
+from typing import Literal
 
 from ml4gw.transforms import (
     SpectralDensity,
     Whiten,
     Decimator,
     SingleQTransform,
+    Heterodyne,
 )
 from ml4gw.utils.slicing import unfold_windows
 
@@ -589,3 +592,183 @@ def forward(self, x: Tensor) -> Tensor:
 
         # first input is timeseries and second input is spectrogram
         return x[1], spec
+
+
+class HeterodyneTimeDomainPreprocessor(torch.nn.Module):
+    """
+    Calculate the PSDs and whiten an entire batch of kernels at once
+    and then heterodyne the timeseries.
+
+    Applies heterodyne transform to the desired `kernel_length` of the
+    strain. If `keep_last_n_seconds` is passed, returns only the final
+    portion of the heterodyned strain.
+
+    Args:
+        kernel_length (float): Length of output kernels in seconds.
+        sample_rate (float): Input sampling rate in Hz.
+        inference_sampling_rate (float): Sampling rate of network output in Hz.
+            Determines the overlap between kernels.
+        batch_size (int): Number of kernels to extract from input.
+        fduration (float): Duration of the whitening filter in seconds
+        fftlength (float): FFT length for PSD calculation in seconds.
+        chirp_mass_low (float): 
+            Lower bound of chirp mass range (in solar masses).
+        chirp_mass_high (float): 
+            Upper bound of chirp mass range (in solar masses).
+        num_chirp_masses (int): 
+            Number of chirp mass samples to generate.
+        chirp_mass_spacing (Literal["linear", "log"]): 
+            Spacing of chirp mass grid. Use "linear" for evenly spaced
+            values or "log" for logarithmic spacing.
+        keep_last_n_seconds (float): 
+            If > 0, only keep the last `n` seconds of the kernel_length. If 0,
+            keep the full kernel_length.
+        highpass (float, optional): Highpass frequency in Hz. Applied during
+            whitening. Defaults to None.
+        lowpass (float, optional): Lowpass frequency in Hz. Applied during
+            whitening. Defaults to None.
+
+    Example:
+        >>> preprocessor = HeterodyneTimeDomainPreprocessor(
+        ...     kernel_length=8, sample_rate=2048,
+        ...     inference_sampling_rate=16, batch_size=128,
+        ...     fduration=2, fftlength=2, chirp_mass_low=1.0,
+        ...     chirp_mass_high=2.5, num_chirp_masses=100,
+        ...     chirp_mass_spacing="log", keep_last_n_seconds=4.0,
+        ... )
+        >>> x = torch.randn(2, 16384)  # (channels, time)
+        >>> X = preprocessor(x)  # shape: (batch_size, channels x num_chirp_masses, kernel_size)
+    """
+
+    def __init__(
+        self,
+        kernel_length: float,
+        sample_rate: float,
+        inference_sampling_rate: float,
+        batch_size: int,
+        fduration: float,
+        fftlength: float,
+        chirp_mass_low: float = 1.0, 
+        chirp_mass_high: float = 2.5, 
+        num_chirp_masses: int = 100, 
+        chirp_mass_spacing: Literal["linear", "log"] = "log", 
+        keep_last_n_seconds: float = 0.0,
+        highpass: float | None = None,
+        lowpass: float | None = None,
+    ) -> None:
+        super().__init__()
+        # Calculate stride between kernels based on inference sampling rate
+        self.stride_size = int(sample_rate / inference_sampling_rate)
+        # Convert kernel length to samples
+        self.kernel_size = int(kernel_length * sample_rate)
+
+        # do length calculations in units of samples,
+        # then convert back to length to guard for intification
+        strides = (batch_size - 1) * self.stride_size
+        fsize = int(fduration * sample_rate)
+        size = strides + self.kernel_size + fsize
+        length = size / sample_rate
+
+        # Initialize PSD estimator with calculated total length
+        self.psd_estimator = PsdEstimator(
+            length,
+            sample_rate,
+            fftlength=fftlength,
+            overlap=None,
+            average="median",
+            fast=highpass is not None,
+        )
+        # Initialize whitening module
+        self.whitener = Whiten(fduration, sample_rate, highpass, lowpass)
+
+        self.chirp_mass_grid = self._create_chirp_mass_grid(
+            chirp_mass_low,
+            chirp_mass_high,
+            num_chirp_masses,
+            chirp_mass_spacing,
+        )
+
+        self.keep_last_n_samples = int(
+            keep_last_n_seconds * sample_rate
+        )
+
+        self.heterodyne_transform = Heterodyne(
+            sample_rate=int(sample_rate), 
+            kernel_length=int(kernel_length),
+            chirp_mass=self.chirp_mass_grid,
+            return_type="time"
+        )
+    
+    def _create_chirp_mass_grid(
+        self,
+        chirp_mass_low: float,
+        chirp_mass_high: float,
+        num_chirp_masses: int,
+        chirp_mass_spacing: Literal["linear", "log"],
+    ) -> torch.Tensor:
+        if chirp_mass_spacing == "linear":
+            return torch.linspace(
+                chirp_mass_low, chirp_mass_high, num_chirp_masses
+            )
+        elif chirp_mass_spacing == "log":
+            return torch.logspace(
+                math.log10(chirp_mass_low),
+                math.log10(chirp_mass_high),
+                num_chirp_masses,
+            )
+        else:
+            raise ValueError(
+                f"Invalid chirp mass spacing: {chirp_mass_spacing}"
+            )
+
+    def forward(self, x: Tensor) -> Tensor:
+        """
+        Estimate PSD, whiten data, and unfold kernels.
+
+        Args:
+            x (Tensor): Input data of shape (batch, channels, time) or
+                (channels, time).
+
+        Returns:
+            Tensor: Extracted and optionally augmented kernels of shape
+                (batch_size, channels, kernel_size).
+
+            If return_whitened=True, returns tuple of (kernels, whitened_data).
+
+        Raises:
+            ValueError: If input is not 2 or 3 dimensional.
+        """
+        # Determine number of channels for later reshaping
+        if x.ndim == 3:
+            num_channels = x.size(1)
+        elif x.ndim == 2:
+            num_channels = x.size(0)
+        else:
+            raise ValueError(
+                "Expected input to be either 2 or 3 dimensional, "
+                "but found shape {}".format(x.shape)
+            )
+
+        # Estimate PSD and prepare data
+        x, psd = self.psd_estimator(x.double())
+        # Apply whitening using estimated PSD
+        whitened = self.whitener(x, psd)
+
+        # unfold x and then put it into the expected shape.
+        # Note that if x has both signal and background
+        # batch elements, they will be interleaved along
+        # the batch dimension after unfolding
+        x = unfold_windows(whitened, self.kernel_size, self.stride_size)
+        # Reshape to (batch_size, channels, kernel_size)
+        x = x.reshape(-1, num_channels, self.kernel_size)
+        # Heterodyne the whitened timeseries
+        x = self.heterodyne_transform(x)
+        # Reshaping x from (batch_size, channels, num_chirp_mass, kernel_size) to
+        # (batch_size, channels x num_chirp_mass, kernel_size)
+        _B, _C, _M, _T = x.shape
+        x = x.reshape(_B, _C*_M, _T)
+        # Returning the desired length of heterodyned strain in the time dimension
+        if self.keep_last_n_samples > 0:
+            return x[..., -self.keep_last_n_samples:]
+        else:
+            return x
diff --git a/projects/export/export_heterodyne.yaml b/projects/export/export_heterodyne.yaml
new file mode 100644
index 000000000..f51b11810
--- /dev/null
+++ b/projects/export/export_heterodyne.yaml
@@ -0,0 +1,38 @@
+# commented args (i.e. comments with colon at end 
+# to illustrate a value needs to be filled out)
+# represent values filled out
+# by the export task at run time. To build a functional
+# standalone config, add these in yourself.
+
+logfile:
+weights:
+batch_file:
+repository_directory:
+num_ifos: 2
+kernel_length: 8.0
+inference_sampling_rate: 4
+sample_rate: 2048
+batch_size: 128
+fduration: 2
+psd_length: 64
+preprocessor:
+  class_path: utils.preprocessing.HeterodyneTimeDomainPreprocessor
+  init_args:
+    kernel_length: 8.0
+    sample_rate: 2048
+    inference_sampling_rate: 4
+    batch_size: 128
+    fduration: 2
+    fftlength: 2
+    chirp_mass_low: 1.0 
+    chirp_mass_high: 2.5 
+    num_chirp_masses: 100
+    chirp_mass_spacing: "log" 
+    keep_last_n_seconds: 4.0
+    highpass: 32.0
+streams_per_gpu: 12
+# num_outputs:
+aframe_instances: 1
+platform: TENSORRT
+clean: true
+verbose: true
diff --git a/projects/export/pyproject.toml b/projects/export/pyproject.toml
index 7be57c0ae..609e4e4fe 100644
--- a/projects/export/pyproject.toml
+++ b/projects/export/pyproject.toml
@@ -6,7 +6,7 @@ authors = [{ name = "Ethan Jacob Marx", email = "ethan.marx@ligo.org" }]
 requires-python = ">=3.10,<3.13"
 license = "MIT"
 dependencies = [
-    "ml4gw>=0.7.7",
+    "ml4gw>=0.7.13",
     "boto3~=1.30",
     "fsspec[s3]>=2024,<2025",
     "ml4gw-hermes[torch]>=0.2.1",
diff --git a/projects/export/uv.lock b/projects/export/uv.lock
index 53c7bf108..d1b58c1a0 100644
--- a/projects/export/uv.lock
+++ b/projects/export/uv.lock
@@ -528,7 +528,7 @@ requires-dist = [
     { name = "boto3", specifier = "~=1.30" },
     { name = "fsspec", extras = ["s3"], specifier = ">=2024,<2025" },
     { name = "jsonargparse", specifier = ">=4.27.1,<5" },
-    { name = "ml4gw", specifier = ">=0.7.7" },
+    { name = "ml4gw", specifier = ">=0.7.13" },
     { name = "ml4gw-hermes", extras = ["torch"], specifier = ">=0.2.1" },
     { name = "nvidia-cudnn-cu11", specifier = "==8.9.6.50" },
     { name = "tensorrt", specifier = "==8.5.2.2" },
@@ -972,7 +972,7 @@ wheels = [
 
 [[package]]
 name = "ml4gw"
-version = "0.7.10"
+version = "0.7.13"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jaxtyping" },
@@ -981,9 +981,9 @@ dependencies = [
     { name = "torch" },
     { name = "torchaudio" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/42/4b/d04a579fe0009f29f336af329d231dfd0da32c1f03560cbfdcd1d3081b86/ml4gw-0.7.10.tar.gz", hash = "sha256:20c54524b9f44669ef2b320832c62fac9766d2374019cfd798ec89a83adf1e99", size = 119139, upload-time = "2025-12-03T01:34:50.761Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/ba/af/bab88ca4f54386735a64502a990f1bc4edb6a0353aa2b910efd9aa244919/ml4gw-0.7.13.tar.gz", hash = "sha256:4e6264fcdb9cbf5ed6a83910a231a946770687bbc6c576f8e6dc811af7102f24", size = 121893, upload-time = "2026-04-07T00:22:25.566Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/04/a8/174f4112c2dae1c61f0ed1c5eb32b7b7dd0c34b8050ec1a67d45480f34b3/ml4gw-0.7.10-py3-none-any.whl", hash = "sha256:f9edaa40365ee4441ffb42b4bf542a70522990495659bef441fbb2eba0efbcf4", size = 129192, upload-time = "2025-12-03T01:34:49.491Z" },
+    { url = "https://files.pythonhosted.org/packages/a8/7e/1499d3835e9fb9adeeb8b5b5107dcdee79c37d6a61cd9db912fe59100efa/ml4gw-0.7.13-py3-none-any.whl", hash = "sha256:53132028674bb079759f97b664ba8d1ab1e53ecb21a50660b9015ae7c518bde0", size = 132944, upload-time = "2026-04-07T00:22:24.325Z" },
 ]
 
 [[package]]
diff --git a/projects/train/configs/time_heterodyne.yaml b/projects/train/configs/time_heterodyne.yaml
new file mode 100644
index 000000000..add60628b
--- /dev/null
+++ b/projects/train/configs/time_heterodyne.yaml
@@ -0,0 +1,148 @@
+# commented args represent values filled out
+# by train task at run time. To build a functional
+# standalone config, add these in.
+ 
+# To start training from a checkpoint, uncomment the below argument
+# and specify a path to the desired checkpoint
+# ckpt_path: ""
+model:
+  class_path: train.model.SupervisedAframe
+  init_args:
+    # architecture
+    arch:
+      class_path: architectures.supervised.SupervisedHeterodyneTimeDomainResNet
+      init_args:
+        layers: [3, 4, 6, 3]
+        kernel_size: 25
+        norm_layer:
+          class_path: ml4gw.nn.norm.GroupNorm1DGetter
+          init_args:
+            groups: 16
+    metric:
+      class_path: train.metrics.TimeSlideAUROC
+      init_args:
+        max_fpr: 1e-3
+        pool_length: 8
+
+    # optimization params
+    weight_decay: 3e-5
+    learning_rate: 4e-4
+    pct_lr_ramp: 0.115
+    # early stop
+data:
+  class_path: train.data.supervised.HeterodyneTimeDomainSupervisedAframeDataset
+  init_args:
+    # loading args
+    background_dir:
+    waveforms_dir:
+    ifos: [H1,L1]
+    sample_rate: 2048
+    batches_per_epoch: 100
+    num_files_per_batch: 10
+    chunk_size: 1000
+    chunks_per_epoch: 20
+    # preprocessing args
+    batch_size: 100
+    kernel_length: 8
+    psd_length: 20
+    fduration: 2
+    # augmentation args
+    waveform_prob: 0.277
+    swap_prob: 0.014
+    mute_prob: 0.055
+    left_pad: 6.95
+    right_pad: 0.05
+    # heterodyne preprocessing args
+    chirp_mass_low: 1
+    chirp_mass_high: 2.5
+    num_chirp_masses: 100
+    chirp_mass_spacing: "log"
+    keep_last_n_seconds: 4
+    # highpass: 
+    # lowpass: 
+    fftlength: 2
+    snr_sampler:
+      class_path: ml4gw.distributions.PowerLaw
+      init_args: 
+        minimum: 8
+        maximum: 100
+        index: -3
+    # curriculum learning for snr sampler
+    # snr_sampler:
+    #   class_path: train.augmentations.SnrSampler
+    #   init_args:
+    #     max_min_snr: 30
+    #     min_min_snr: 8
+    #     max_snr: 100
+    #     alpha: -3
+    #     decay_steps: 600
+    waveform_sampler:
+      class_path: train.data.waveforms.WaveformLoader
+      init_args:
+        training_waveform_path:
+        val_waveform_file:
+    dec: 
+      class_path: ml4gw.distributions.Cosine
+    psi: 
+      class_path: torch.distributions.Uniform
+      init_args:
+        low: 0
+        high: 3.14159
+        validate_args: false
+    phi: 
+      class_path: torch.distributions.Uniform
+      init_args:
+        low: 0
+        high: 6.28318
+        validate_args: false
+    # validation args
+    valid_stride: 0.5
+    num_valid_views: 5
+    valid_livetime: 57600
+
+trainer:
+  # by default, use a local CSV logger.
+  # note that you can use multiple loggers!
+  # Options in train task for appending 
+  # a wandb logger for remote logging.
+  logger:
+    - class_path: lightning.pytorch.loggers.TensorBoardLogger
+      init_args:
+        save_dir:
+        name:
+        version:
+
+  callbacks:
+    - class_path: lightning.pytorch.callbacks.EarlyStopping
+      init_args:
+        monitor: "valid_auroc"
+        mode: "max"
+        patience: 500
+    # custom model checkpoint for saving and
+    # tracing best model at end of traiing
+    # that will be used for downstream export
+    - class_path: train.callbacks.ModelCheckpoint
+      init_args:
+        monitor: "valid_auroc"
+        mode: "max"
+        save_top_k: 10
+        save_last: true
+        auto_insert_metric_name: false
+    - class_path: train.callbacks.SaveAugmentedBatch
+    - class_path: lightning.pytorch.callbacks.LearningRateMonitor
+      init_args:
+        logging_interval: "step"
+  # uncomment below if you want to profile
+  # profiler:
+    # class_path: lightning.pytorch.profilers.PyTorchProfiler
+    # dict_kwargs:
+      # profile_memory: true
+  # devices:
+  # strategy: set to ddp if len(devices) > 1
+  #precision: 16-mixed
+  accelerator: auto
+  max_epochs: 1500
+  check_val_every_n_epoch: 1
+  log_every_n_steps: 20
+  enable_progress_bar: true
+  benchmark: true
diff --git a/projects/train/pyproject.toml b/projects/train/pyproject.toml
index 8adbbc07e..97556ca43 100644
--- a/projects/train/pyproject.toml
+++ b/projects/train/pyproject.toml
@@ -22,7 +22,7 @@ dependencies = [
     "fsspec[s3]>=2024,<2025",
     "urllib3>=1.25.4,<1.27",
     "utils",
-    "ml4gw>=0.7.7",
+    "ml4gw>=0.7.13",
     "aframe",
     "ledger",
     "priors",
diff --git a/projects/train/train/cli.py b/projects/train/train/cli.py
index 3953dbc81..a86207ab0 100644
--- a/projects/train/train/cli.py
+++ b/projects/train/train/cli.py
@@ -57,6 +57,16 @@ def add_arguments_to_parser(self, parser):
         except Exception:
             pass
 
+        # TODO: This is a workaround for linking num_chirp_masses between
+        # the model and the architecture for in_channels.
+        try:
+            parser.link_arguments(
+            "data.init_args.num_chirp_masses",
+            "model.init_args.arch.init_args.num_chirp_masses",
+            )
+        except Exception:
+            pass
+
         parser.link_arguments(
             "data.init_args.sample_rate",
             "data.init_args.waveform_sampler.init_args.sample_rate",
diff --git a/projects/train/train/data/supervised/__init__.py b/projects/train/train/data/supervised/__init__.py
index a277db1f1..ff3ee5da0 100644
--- a/projects/train/train/data/supervised/__init__.py
+++ b/projects/train/train/data/supervised/__init__.py
@@ -5,4 +5,7 @@
 )
 from .multimodal import MultiModalSupervisedAframeDataset
 from .supervised import SupervisedAframeDataset
-from .time_domain import TimeDomainSupervisedAframeDataset
+from .time_domain import (
+    TimeDomainSupervisedAframeDataset,
+    HeterodyneTimeDomainSupervisedAframeDataset,
+)
diff --git a/projects/train/train/data/supervised/time_domain.py b/projects/train/train/data/supervised/time_domain.py
index a26806614..4f5e9c443 100644
--- a/projects/train/train/data/supervised/time_domain.py
+++ b/projects/train/train/data/supervised/time_domain.py
@@ -1,7 +1,9 @@
+import math
 import torch
+from typing import Literal
 
 from train.data.supervised.supervised import SupervisedAframeDataset
-
+from ml4gw.transforms import Heterodyne
 
 class TimeDomainSupervisedAframeDataset(SupervisedAframeDataset):
     def build_val_batches(self, background, signals):
@@ -20,3 +22,112 @@ def inject(self, X, waveforms=None):
         X, y, psds = super().inject(X, waveforms)
         X = self.whitener(X, psds)
         return X, y
+
+
+class HeterodyneTimeDomainSupervisedAframeDataset(SupervisedAframeDataset):
+    """
+    A derived class from BaseAframeDataset and SupervisedAframeDataset, it
+    applies heterodyning to strain data and returns heterodyned timeseries
+    for loading data to train Aframe models. If `keep_last_n_seconds` is passed,
+    returns only the final portion of the heterodyned strain.
+
+    Args:
+        chirp_mass_low (float): 
+            Lower bound of chirp mass range (in solar masses).
+        chirp_mass_high (float): 
+            Upper bound of chirp mass range (in solar masses).
+        num_chirp_masses (int): 
+            Number of chirp mass samples to generate.
+        chirp_mass_spacing (Literal["linear", "log"]): 
+            Spacing of chirp mass grid. Use "linear" for evenly spaced
+            values or "log" for logarithmic spacing.
+        keep_last_n_seconds (float): 
+            If > 0, only keep the last `n` seconds of the kernel_length. If 0,
+            keep the full kernel_length.
+    """
+
+    def __init__(
+        self, 
+        chirp_mass_low: float = 1.0, 
+        chirp_mass_high: float = 2.5, 
+        num_chirp_masses: int = 100, 
+        chirp_mass_spacing: Literal["linear", "log"] = "log", 
+        keep_last_n_seconds: float = 0.0, 
+        *args, 
+        **kwargs):
+        super().__init__(*args, **kwargs)
+
+        self.chirp_mass_grid = self._create_chirp_mass_grid(
+            chirp_mass_low,
+            chirp_mass_high,
+            num_chirp_masses,
+            chirp_mass_spacing,
+        )
+
+        self.keep_last_n_samples = int(
+            keep_last_n_seconds * self.hparams.sample_rate
+        )
+
+    def build_transforms(self, *args, **kwargs):
+        super().build_transforms(*args, **kwargs)
+        self.heterodyne_transform = Heterodyne(
+            sample_rate=int(self.hparams.sample_rate), 
+            kernel_length=int(self.hparams.kernel_length),
+            chirp_mass=self.chirp_mass_grid,
+            return_type="time"
+        )
+
+    def _create_chirp_mass_grid(
+        self,
+        chirp_mass_low: float,
+        chirp_mass_high: float,
+        num_chirp_masses: int,
+        chirp_mass_spacing: Literal["linear", "log"],
+    ) -> torch.Tensor:
+        if chirp_mass_spacing == "linear":
+            return torch.linspace(
+                chirp_mass_low, chirp_mass_high, num_chirp_masses
+            )
+        elif chirp_mass_spacing == "log":
+            return torch.logspace(
+                math.log10(chirp_mass_low),
+                math.log10(chirp_mass_high),
+                num_chirp_masses,
+            )
+        else:
+            raise ValueError(
+                f"Invalid chirp mass spacing: {chirp_mass_spacing}"
+            )
+    
+    def build_val_batches(self, background, signals):
+        X_bg, X_inj, psds = super().build_val_batches(background, signals)
+        X_bg = self.whitener(X_bg, psds)
+        X_bg = self.heterodyne_transform(X_bg)
+        _B_bg, _C_bg, _M_bg, _T_bg = X_bg.shape
+        X_bg = X_bg.view(_B_bg, _C_bg*_M_bg, _T_bg)
+        # whiten each view of injections
+        X_fg = []
+        for inj in X_inj:
+            inj = self.whitener(inj, psds)
+            inj = self.heterodyne_transform(inj)
+            X_fg.append(inj)
+        X_fg = torch.stack(X_fg)
+        _V_fg, _B_fg, _C_fg, _M_fg, _T_fg = X_fg.shape
+        X_fg = X_fg.view(_V_fg, _B_fg, _C_fg*_M_fg, _T_fg)
+
+        if self.keep_last_n_samples > 0:
+            return X_bg[..., -self.keep_last_n_samples:], X_fg[..., -self.keep_last_n_samples:]
+        else:
+            return X_bg, X_fg
+
+    def inject(self, X, waveforms=None):
+        X, y, psds = super().inject(X, waveforms)
+        X = self.whitener(X, psds)
+        X = self.heterodyne_transform(X)
+        _B, _C, _M, _T = X.shape
+        X = X.view(_B, _C*_M, _T)
+
+        if self.keep_last_n_samples > 0:
+            return X[..., -self.keep_last_n_samples:], y
+        else:
+            return X, y
diff --git a/projects/train/uv.lock b/projects/train/uv.lock
index 906633b6b..46a97b18a 100644
--- a/projects/train/uv.lock
+++ b/projects/train/uv.lock
@@ -459,6 +459,8 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/8b/c5/ad5ca082b2610defc488679690df8137300c6bb396b24f783e3d74873fa4/bilby.cython-0.5.3-cp312-cp312-macosx_12_0_x86_64.whl", hash = "sha256:264ccd8ca1adabc794931ed6deb5082ad0ed4b52694be8158cb421a80a752bca", size = 351851, upload-time = "2024-08-23T15:22:07.895Z" },
     { url = "https://files.pythonhosted.org/packages/13/26/f0b46d56d278665b484ec421dc571fb28bdd81635137d00e0edc2c8fddc9/bilby.cython-0.5.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:44e5e381c2861e26a4e1fd5c591ea0c3c9a0e2f0d8c78f28f8704abf2945cd8d", size = 1014120, upload-time = "2024-08-23T15:22:09.942Z" },
     { url = "https://files.pythonhosted.org/packages/11/de/02429d598ec5ed4c70113a2c3e8b76a5b113885f85eacdcdaf19cbb6d23d/bilby.cython-0.5.3-cp312-cp312-win_amd64.whl", hash = "sha256:2758256339d7c3703014b265d3a77e0299d5c6264f962bc311c989ac453cbd60", size = 357801, upload-time = "2024-08-23T15:54:20.941Z" },
+    { url = "https://files.pythonhosted.org/packages/73/b9/e8a78c082d8708ea4cc9c65b53dfed9d1d6bc9b3a44d712811b9e55022ee/bilby_cython-0.5.3-cp311-cp311-win_amd64.whl", hash = "sha256:d39ad43c8962a32b7c561ee07f0f9fb9e656a7847b30176695007b31426d2474", size = 363731, upload-time = "2026-02-23T16:52:49.722Z" },
+    { url = "https://files.pythonhosted.org/packages/7b/a2/6a8e2a8a0721b758745e2a35f91c5ff380cf0f795408bc74b9aa8c589f0a/bilby_cython-0.5.3-cp312-cp312-win_amd64.whl", hash = "sha256:9aabbcce359c63c78cf1c1bf4d714c438a2936ddd4e061fe90b3320415dd12f6", size = 361366, upload-time = "2026-02-23T16:52:50.964Z" },
 ]
 
 [[package]]
@@ -2319,7 +2321,7 @@ wheels = [
 
 [[package]]
 name = "ml4gw"
-version = "0.7.11"
+version = "0.7.13"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jaxtyping" },
@@ -2328,9 +2330,9 @@ dependencies = [
     { name = "torch" },
     { name = "torchaudio" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/6f/0a/722f553635ffc91b32623e69a4c93591c11ce2c24a10e4bda35ab0d8e6ae/ml4gw-0.7.11.tar.gz", hash = "sha256:8df9ebecd97ed6a6e8ba07fab40882f5966e646897f5187a9ccf7913faf6464e", size = 119593, upload-time = "2026-01-29T20:34:30.794Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/ba/af/bab88ca4f54386735a64502a990f1bc4edb6a0353aa2b910efd9aa244919/ml4gw-0.7.13.tar.gz", hash = "sha256:4e6264fcdb9cbf5ed6a83910a231a946770687bbc6c576f8e6dc811af7102f24", size = 121893, upload-time = "2026-04-07T00:22:25.566Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/89/7d/f8c3e695d52cd9e70fd3f7bb51efd29848a3eb481dc1b94228f481dd05f8/ml4gw-0.7.11-py3-none-any.whl", hash = "sha256:0a6645f27444d266fb94afe988450bc2d00e24bd70328b0a5903194e1900acdb", size = 129588, upload-time = "2026-01-29T20:34:29.357Z" },
+    { url = "https://files.pythonhosted.org/packages/a8/7e/1499d3835e9fb9adeeb8b5b5107dcdee79c37d6a61cd9db912fe59100efa/ml4gw-0.7.13-py3-none-any.whl", hash = "sha256:53132028674bb079759f97b664ba8d1ab1e53ecb21a50660b9015ae7c518bde0", size = 132944, upload-time = "2026-04-07T00:22:24.325Z" },
 ]
 
 [[package]]
@@ -4370,7 +4372,7 @@ requires-dist = [
     { name = "ledger", editable = "../../libs/ledger" },
     { name = "lightning", specifier = "==2.2.1" },
     { name = "lightray", specifier = ">=0.2.3" },
-    { name = "ml4gw", specifier = ">=0.7.7" },
+    { name = "ml4gw", specifier = ">=0.7.13" },
     { name = "priors", editable = "../../libs/priors" },
     { name = "ray", extras = ["default", "tune"], specifier = ">=2.8.0,<3" },
     { name = "s3fs", specifier = ">=2024,<2025" },

From d515af6cfd0f4ca45c2605f159b3304f99f803bb Mon Sep 17 00:00:00 2001
From: Bhavya Gupta <bgupta1@dt-login02.delta.ncsa.illinois.edu>
Date: Mon, 13 Apr 2026 09:45:26 -0500
Subject: [PATCH 07/27] make pre-commit check changes

---
 .../architectures/architectures/supervised.py |  6 ++-
 libs/utils/utils/preprocessing.py             | 42 ++++++++--------
 projects/train/train/cli.py                   |  4 +-
 .../train/data/supervised/time_domain.py      | 50 ++++++++++---------
 4 files changed, 54 insertions(+), 48 deletions(-)

diff --git a/libs/architectures/architectures/supervised.py b/libs/architectures/architectures/supervised.py
index 2e28e564e..991871830 100644
--- a/libs/architectures/architectures/supervised.py
+++ b/libs/architectures/architectures/supervised.py
@@ -287,10 +287,11 @@ class SupervisedHeterodyneTimeDomainResNet(SupervisedArchitecture):
     Time Domain ResNet that processes a Heterodyned timeseries.
 
     Args:
-        num_chirp_masses (int): 
+        num_chirp_masses (int):
             Number of chirp masses used to define the input channel
             dimension (in_channels = num_ifos x num_chirp_masses).
     """
+
     def __init__(
         self,
         num_ifos: int,
@@ -306,7 +307,7 @@ def __init__(
     ) -> None:
         super().__init__()
         self.time_domain_resnet = ResNet1D(
-            in_channels=num_ifos*num_chirp_masses,
+            in_channels=num_ifos * num_chirp_masses,
             layers=layers,
             classes=1,
             kernel_size=kernel_size,
@@ -316,5 +317,6 @@ def __init__(
             stride_type=stride_type,
             norm_layer=norm_layer,
         )
+
     def forward(self, X):
         return self.time_domain_resnet(X)
diff --git a/libs/utils/utils/preprocessing.py b/libs/utils/utils/preprocessing.py
index 2fd49ea4f..ddd7a2ee3 100644
--- a/libs/utils/utils/preprocessing.py
+++ b/libs/utils/utils/preprocessing.py
@@ -611,16 +611,16 @@ class HeterodyneTimeDomainPreprocessor(torch.nn.Module):
         batch_size (int): Number of kernels to extract from input.
         fduration (float): Duration of the whitening filter in seconds
         fftlength (float): FFT length for PSD calculation in seconds.
-        chirp_mass_low (float): 
+        chirp_mass_low (float):
             Lower bound of chirp mass range (in solar masses).
-        chirp_mass_high (float): 
+        chirp_mass_high (float):
             Upper bound of chirp mass range (in solar masses).
-        num_chirp_masses (int): 
+        num_chirp_masses (int):
             Number of chirp mass samples to generate.
-        chirp_mass_spacing (Literal["linear", "log"]): 
+        chirp_mass_spacing (Literal["linear", "log"]):
             Spacing of chirp mass grid. Use "linear" for evenly spaced
             values or "log" for logarithmic spacing.
-        keep_last_n_seconds (float): 
+        keep_last_n_seconds (float):
             If > 0, only keep the last `n` seconds of the kernel_length. If 0,
             keep the full kernel_length.
         highpass (float, optional): Highpass frequency in Hz. Applied during
@@ -637,7 +637,8 @@ class HeterodyneTimeDomainPreprocessor(torch.nn.Module):
         ...     chirp_mass_spacing="log", keep_last_n_seconds=4.0,
         ... )
         >>> x = torch.randn(2, 16384)  # (channels, time)
-        >>> X = preprocessor(x)  # shape: (batch_size, channels x num_chirp_masses, kernel_size)
+        >>> X = preprocessor(x)
+        >>> # X: (batch_size, channels x num_chirp_masses, kernel_size)
     """
 
     def __init__(
@@ -648,10 +649,10 @@ def __init__(
         batch_size: int,
         fduration: float,
         fftlength: float,
-        chirp_mass_low: float = 1.0, 
-        chirp_mass_high: float = 2.5, 
-        num_chirp_masses: int = 100, 
-        chirp_mass_spacing: Literal["linear", "log"] = "log", 
+        chirp_mass_low: float = 1.0,
+        chirp_mass_high: float = 2.5,
+        num_chirp_masses: int = 100,
+        chirp_mass_spacing: Literal["linear", "log"] = "log",
         keep_last_n_seconds: float = 0.0,
         highpass: float | None = None,
         lowpass: float | None = None,
@@ -688,17 +689,15 @@ def __init__(
             chirp_mass_spacing,
         )
 
-        self.keep_last_n_samples = int(
-            keep_last_n_seconds * sample_rate
-        )
+        self.keep_last_n_samples = int(keep_last_n_seconds * sample_rate)
 
         self.heterodyne_transform = Heterodyne(
-            sample_rate=int(sample_rate), 
+            sample_rate=int(sample_rate),
             kernel_length=int(kernel_length),
             chirp_mass=self.chirp_mass_grid,
-            return_type="time"
+            return_type="time",
         )
-    
+
     def _create_chirp_mass_grid(
         self,
         chirp_mass_low: float,
@@ -763,12 +762,13 @@ def forward(self, x: Tensor) -> Tensor:
         x = x.reshape(-1, num_channels, self.kernel_size)
         # Heterodyne the whitened timeseries
         x = self.heterodyne_transform(x)
-        # Reshaping x from (batch_size, channels, num_chirp_mass, kernel_size) to
-        # (batch_size, channels x num_chirp_mass, kernel_size)
+        # Reshaping x from (batch_size, channels, num_chirp_mass, kernel_size)
+        # to (batch_size, channels x num_chirp_mass, kernel_size)
         _B, _C, _M, _T = x.shape
-        x = x.reshape(_B, _C*_M, _T)
-        # Returning the desired length of heterodyned strain in the time dimension
+        x = x.reshape(_B, _C * _M, _T)
+        # Returning the desired length of heterodyned strain in the
+        # time dimension
         if self.keep_last_n_samples > 0:
-            return x[..., -self.keep_last_n_samples:]
+            return x[..., -self.keep_last_n_samples :]
         else:
             return x
diff --git a/projects/train/train/cli.py b/projects/train/train/cli.py
index a86207ab0..e0dfd1b2e 100644
--- a/projects/train/train/cli.py
+++ b/projects/train/train/cli.py
@@ -61,8 +61,8 @@ def add_arguments_to_parser(self, parser):
         # the model and the architecture for in_channels.
         try:
             parser.link_arguments(
-            "data.init_args.num_chirp_masses",
-            "model.init_args.arch.init_args.num_chirp_masses",
+                "data.init_args.num_chirp_masses",
+                "model.init_args.arch.init_args.num_chirp_masses",
             )
         except Exception:
             pass
diff --git a/projects/train/train/data/supervised/time_domain.py b/projects/train/train/data/supervised/time_domain.py
index 4f5e9c443..10a876605 100644
--- a/projects/train/train/data/supervised/time_domain.py
+++ b/projects/train/train/data/supervised/time_domain.py
@@ -5,6 +5,7 @@
 from train.data.supervised.supervised import SupervisedAframeDataset
 from ml4gw.transforms import Heterodyne
 
+
 class TimeDomainSupervisedAframeDataset(SupervisedAframeDataset):
     def build_val_batches(self, background, signals):
         X_bg, X_inj, psds = super().build_val_batches(background, signals)
@@ -28,33 +29,34 @@ class HeterodyneTimeDomainSupervisedAframeDataset(SupervisedAframeDataset):
     """
     A derived class from BaseAframeDataset and SupervisedAframeDataset, it
     applies heterodyning to strain data and returns heterodyned timeseries
-    for loading data to train Aframe models. If `keep_last_n_seconds` is passed,
-    returns only the final portion of the heterodyned strain.
+    for loading data to train Aframe models. If `keep_last_n_seconds` is
+    passed, returns only the final portion of the heterodyned strain.
 
     Args:
-        chirp_mass_low (float): 
+        chirp_mass_low (float):
             Lower bound of chirp mass range (in solar masses).
-        chirp_mass_high (float): 
+        chirp_mass_high (float):
             Upper bound of chirp mass range (in solar masses).
-        num_chirp_masses (int): 
+        num_chirp_masses (int):
             Number of chirp mass samples to generate.
-        chirp_mass_spacing (Literal["linear", "log"]): 
+        chirp_mass_spacing (Literal["linear", "log"]):
             Spacing of chirp mass grid. Use "linear" for evenly spaced
             values or "log" for logarithmic spacing.
-        keep_last_n_seconds (float): 
+        keep_last_n_seconds (float):
             If > 0, only keep the last `n` seconds of the kernel_length. If 0,
             keep the full kernel_length.
     """
 
     def __init__(
-        self, 
-        chirp_mass_low: float = 1.0, 
-        chirp_mass_high: float = 2.5, 
-        num_chirp_masses: int = 100, 
-        chirp_mass_spacing: Literal["linear", "log"] = "log", 
-        keep_last_n_seconds: float = 0.0, 
-        *args, 
-        **kwargs):
+        self,
+        chirp_mass_low: float = 1.0,
+        chirp_mass_high: float = 2.5,
+        num_chirp_masses: int = 100,
+        chirp_mass_spacing: Literal["linear", "log"] = "log",
+        keep_last_n_seconds: float = 0.0,
+        *args,
+        **kwargs,
+    ):
         super().__init__(*args, **kwargs)
 
         self.chirp_mass_grid = self._create_chirp_mass_grid(
@@ -71,10 +73,10 @@ def __init__(
     def build_transforms(self, *args, **kwargs):
         super().build_transforms(*args, **kwargs)
         self.heterodyne_transform = Heterodyne(
-            sample_rate=int(self.hparams.sample_rate), 
+            sample_rate=int(self.hparams.sample_rate),
             kernel_length=int(self.hparams.kernel_length),
             chirp_mass=self.chirp_mass_grid,
-            return_type="time"
+            return_type="time",
         )
 
     def _create_chirp_mass_grid(
@@ -98,13 +100,13 @@ def _create_chirp_mass_grid(
             raise ValueError(
                 f"Invalid chirp mass spacing: {chirp_mass_spacing}"
             )
-    
+
     def build_val_batches(self, background, signals):
         X_bg, X_inj, psds = super().build_val_batches(background, signals)
         X_bg = self.whitener(X_bg, psds)
         X_bg = self.heterodyne_transform(X_bg)
         _B_bg, _C_bg, _M_bg, _T_bg = X_bg.shape
-        X_bg = X_bg.view(_B_bg, _C_bg*_M_bg, _T_bg)
+        X_bg = X_bg.view(_B_bg, _C_bg * _M_bg, _T_bg)
         # whiten each view of injections
         X_fg = []
         for inj in X_inj:
@@ -113,10 +115,12 @@ def build_val_batches(self, background, signals):
             X_fg.append(inj)
         X_fg = torch.stack(X_fg)
         _V_fg, _B_fg, _C_fg, _M_fg, _T_fg = X_fg.shape
-        X_fg = X_fg.view(_V_fg, _B_fg, _C_fg*_M_fg, _T_fg)
+        X_fg = X_fg.view(_V_fg, _B_fg, _C_fg * _M_fg, _T_fg)
 
         if self.keep_last_n_samples > 0:
-            return X_bg[..., -self.keep_last_n_samples:], X_fg[..., -self.keep_last_n_samples:]
+            return X_bg[..., -self.keep_last_n_samples :], X_fg[
+                ..., -self.keep_last_n_samples :
+            ]
         else:
             return X_bg, X_fg
 
@@ -125,9 +129,9 @@ def inject(self, X, waveforms=None):
         X = self.whitener(X, psds)
         X = self.heterodyne_transform(X)
         _B, _C, _M, _T = X.shape
-        X = X.view(_B, _C*_M, _T)
+        X = X.view(_B, _C * _M, _T)
 
         if self.keep_last_n_samples > 0:
-            return X[..., -self.keep_last_n_samples:], y
+            return X[..., -self.keep_last_n_samples :], y
         else:
             return X, y

From cef39ceff5744dc3f6e58dc3e82b0d929f297c1e Mon Sep 17 00:00:00 2001
From: Bhavya Gupta <bgupta1@dt-login02.delta.ncsa.illinois.edu>
Date: Fri, 17 Apr 2026 13:38:46 -0500
Subject: [PATCH 08/27] update changes from feedback and add preprocessing
 tests

---
 libs/utils/pyproject.toml                     |   2 +-
 libs/utils/tests/test_preprocessing.py        |  55 ++++++
 libs/utils/utils/augmentation.py              | 135 +++++++++++++
 libs/utils/utils/preprocessing.py             | 183 ------------------
 libs/utils/uv.lock                            |   8 +-
 projects/export/export_heterodyne.yaml        |  21 +-
 projects/export/pyproject.toml                |   2 +-
 projects/train/configs/time_heterodyne.yaml   |   2 +-
 projects/train/pyproject.toml                 |   2 +-
 .../train/data/supervised/time_domain.py      |  23 ++-
 uv.lock                                       |  10 +-
 11 files changed, 229 insertions(+), 214 deletions(-)
 create mode 100644 libs/utils/utils/augmentation.py

diff --git a/libs/utils/pyproject.toml b/libs/utils/pyproject.toml
index dcfdde2c2..70dbe8069 100644
--- a/libs/utils/pyproject.toml
+++ b/libs/utils/pyproject.toml
@@ -9,7 +9,7 @@ dependencies = [
     "h5py~=3.6",
     "numpy>=1.26.4,<2",
     "s3fs>=2024,<2025",
-    "ml4gw>=0.7.10",
+    "ml4gw>=0.8.0",
     "astropy>=6.0.1",
 ]
 
diff --git a/libs/utils/tests/test_preprocessing.py b/libs/utils/tests/test_preprocessing.py
index 1a85872f2..9174f1e3e 100644
--- a/libs/utils/tests/test_preprocessing.py
+++ b/libs/utils/tests/test_preprocessing.py
@@ -5,6 +5,8 @@
     MultiModalPreprocessor,
     TimeSpectrogramPreprocessor,
 )
+from utils.augmentation import HeterodyneAugmentor
+from ml4gw.transforms import Heterodyne
 import torch
 import pytest
 
@@ -247,6 +249,59 @@ def simple_augmentor(x):
         kernels_aug = whitener_aug(x)
         assert torch.allclose(kernels_aug, kernels * 2)
 
+    def test_with_heterodyne_augmentor(self):
+        heterodyne_augmentor = HeterodyneAugmentor(
+            sample_rate=self.sample_rate,
+            kernel_length=self.kernel_length,
+            chirp_mass_low=1.0,
+            chirp_mass_high=2.5,
+            num_chirp_masses=10,
+            chirp_mass_spacing="log",
+            keep_last_n_seconds=None,
+        )
+
+        whitener = BatchWhitener(
+            kernel_length=self.kernel_length,
+            sample_rate=self.sample_rate,
+            inference_sampling_rate=self.inference_sampling_rate,
+            batch_size=self.batch_size,
+            fduration=self.fduration,
+            fftlength=self.fftlength,
+        )
+
+        whitener_aug = BatchWhitener(
+            kernel_length=self.kernel_length,
+            sample_rate=self.sample_rate,
+            inference_sampling_rate=self.inference_sampling_rate,
+            batch_size=self.batch_size,
+            fduration=self.fduration,
+            fftlength=self.fftlength,
+            augmentor=heterodyne_augmentor,
+        )
+
+        channels = 2
+        total_samples = int(
+            (
+                (self.batch_size - 1) * whitener.stride_size
+                + whitener.kernel_size
+            )
+            * 2
+        )
+        x = torch.randn(channels, total_samples)
+
+        heterodyne = Heterodyne(
+            sample_rate=self.sample_rate,
+            kernel_length=self.kernel_length,
+            chirp_mass=heterodyne_augmentor.chirp_mass_grid,
+            return_type="time",
+        )
+
+        kernels_heterodyned = heterodyne(whitener(x))
+        _B, _C, _M, _T = kernels_heterodyned.shape
+        kernels = kernels_heterodyned.reshape(_B, _C * _M, _T)
+        kernels_aug = whitener_aug(x)
+        assert torch.allclose(kernels_aug, kernels)
+
 
 class TestMultiModalPreprocessor:
     """Test suite for MultiModalPreprocessor module."""
diff --git a/libs/utils/utils/augmentation.py b/libs/utils/utils/augmentation.py
new file mode 100644
index 000000000..7680b7a0e
--- /dev/null
+++ b/libs/utils/utils/augmentation.py
@@ -0,0 +1,135 @@
+import math
+import torch
+from torch import Tensor
+from typing import Literal
+
+from ml4gw.transforms import Heterodyne
+
+
+class HeterodyneAugmentor(torch.nn.Module):
+    """
+    Apply a heterodyne transform over a grid of chirp masses to a batch
+    of time-series data.
+
+    Args:
+        sample_rate (float): Input sampling rate in Hz.
+        kernel_length (float): Length of output kernels in seconds.
+        chirp_mass_low (float):
+            Lower bound of chirp mass range (in solar masses).
+        chirp_mass_high (float):
+            Upper bound of chirp mass range (in solar masses).
+        num_chirp_masses (int):
+            Number of chirp mass samples to generate.
+        chirp_mass_spacing (Literal["linear", "log"]):
+            Spacing of chirp mass grid. Use "linear" for evenly spaced
+            values or "log" for logarithmic spacing.
+        keep_last_n_seconds (float):
+            If provided, only the last `n` seconds of the kernel_length are
+            returned. Otherwise, the full kernel_length is returned.
+    Shape:
+        Input: (batch_size, channels, time)
+        Output: (batch_size, channels * num_chirp_masses, time_out)
+
+        where `time_out = time` unless `keep_last_n_seconds` is set.
+
+    Note:
+        The output shape of the `BatchWhitener` is
+        (batch_size, channels, kernel_size).
+        The `HeterodyneAugmentor` changes the output shape to
+        (batch_size, channels * num_chirp_masses, time_out)
+        where time_out is determined by the `keep_last_n_seconds` parameter.
+
+    Example:
+        >>> augmentor = HeterodyneAugmentor(
+        ...     sample_rate=2048, kernel_length=8, chirp_mass_low=1.0,
+        ...     chirp_mass_high=2.5, num_chirp_masses=100,
+        ...     chirp_mass_spacing="log", keep_last_n_seconds=4.0,
+        ... )
+        >>> x = torch.randn(8, 2, 16384)  # (batch, channels, time)
+        >>> y = augmentor(x)
+        >>> # y: (8, 2 * 100, 8192) since we keep the last 4 seconds at 2048 Hz
+    """
+
+    def __init__(
+        self,
+        sample_rate: float,
+        kernel_length: float,
+        chirp_mass_low: float = 1.0,
+        chirp_mass_high: float = 2.5,
+        num_chirp_masses: int = 100,
+        chirp_mass_spacing: Literal["linear", "log"] = "log",
+        keep_last_n_seconds: float = None,
+    ):
+        super().__init__()
+        self.sample_rate = sample_rate
+        self.kernel_length = kernel_length
+        self.keep_last_n_seconds = keep_last_n_seconds
+        self.num_chirp_masses = num_chirp_masses
+        self.keep_last_n_seconds = keep_last_n_seconds
+
+        self.chirp_mass_grid = self._create_chirp_mass_grid(
+            chirp_mass_low,
+            chirp_mass_high,
+            num_chirp_masses,
+            chirp_mass_spacing,
+        )
+
+        if self.keep_last_n_seconds is not None:
+            self.keep_last_n_samples = int(
+                self.keep_last_n_seconds * sample_rate
+            )
+
+        self.heterodyne_transform = Heterodyne(
+            sample_rate=sample_rate,
+            kernel_length=kernel_length,
+            chirp_mass=self.chirp_mass_grid,
+            return_type="time",
+        )
+
+    def _create_chirp_mass_grid(
+        self,
+        chirp_mass_low: float,
+        chirp_mass_high: float,
+        num_chirp_masses: int,
+        chirp_mass_spacing: Literal["linear", "log"],
+    ) -> torch.Tensor:
+        if chirp_mass_spacing == "linear":
+            return torch.linspace(
+                chirp_mass_low, chirp_mass_high, num_chirp_masses
+            )
+        elif chirp_mass_spacing == "log":
+            return torch.logspace(
+                math.log10(chirp_mass_low),
+                math.log10(chirp_mass_high),
+                num_chirp_masses,
+            )
+        else:
+            raise ValueError(
+                f"Invalid chirp mass spacing: {chirp_mass_spacing}"
+            )
+
+    def forward(self, x: Tensor) -> Tensor:
+        """
+        Args:
+            x (Tensor): Input data of shape (batch, channels, time).
+
+        Returns:
+            Tensor: Output data of shape
+                (batch, channels * num_chirp_masses, time_out),
+                where `time_out` is either the same as input time
+                or determined by `keep_last_n_seconds`.
+        """
+        _B, _C, _T = x.shape
+        x_heterodyned = torch.empty((_B, _C * self.num_chirp_masses, _T))
+        # Heterodyne the whitened timeseries
+        x = self.heterodyne_transform(x)
+        # Reshaping x from (batch_size, channels, num_chirp_mass, kernel_size)
+        # to (batch_size, channels x num_chirp_mass, kernel_size)
+        x = x.reshape(_B, _C * self.num_chirp_masses, _T)
+        x_heterodyned[:, :, :] = x
+        # Returning the desired length of heterodyned strain in the
+        # time dimension
+        if self.keep_last_n_seconds is not None:
+            return x_heterodyned[..., -self.keep_last_n_samples :]
+        else:
+            return x_heterodyned
diff --git a/libs/utils/utils/preprocessing.py b/libs/utils/utils/preprocessing.py
index ddd7a2ee3..7bc4bb78f 100644
--- a/libs/utils/utils/preprocessing.py
+++ b/libs/utils/utils/preprocessing.py
@@ -1,16 +1,13 @@
 from collections.abc import Callable
 
-import math
 import torch
 from torch import Tensor
-from typing import Literal
 
 from ml4gw.transforms import (
     SpectralDensity,
     Whiten,
     Decimator,
     SingleQTransform,
-    Heterodyne,
 )
 from ml4gw.utils.slicing import unfold_windows
 
@@ -592,183 +589,3 @@ def forward(self, x: Tensor) -> Tensor:
 
         # first input is timeseries and second input is spectrogram
         return x[1], spec
-
-
-class HeterodyneTimeDomainPreprocessor(torch.nn.Module):
-    """
-    Calculate the PSDs and whiten an entire batch of kernels at once
-    and then heterodyne the timeseries.
-
-    Applies heterodyne transform to the desired `kernel_length` of the
-    strain. If `keep_last_n_seconds` is passed, returns only the final
-    portion of the heterodyned strain.
-
-    Args:
-        kernel_length (float): Length of output kernels in seconds.
-        sample_rate (float): Input sampling rate in Hz.
-        inference_sampling_rate (float): Sampling rate of network output in Hz.
-            Determines the overlap between kernels.
-        batch_size (int): Number of kernels to extract from input.
-        fduration (float): Duration of the whitening filter in seconds
-        fftlength (float): FFT length for PSD calculation in seconds.
-        chirp_mass_low (float):
-            Lower bound of chirp mass range (in solar masses).
-        chirp_mass_high (float):
-            Upper bound of chirp mass range (in solar masses).
-        num_chirp_masses (int):
-            Number of chirp mass samples to generate.
-        chirp_mass_spacing (Literal["linear", "log"]):
-            Spacing of chirp mass grid. Use "linear" for evenly spaced
-            values or "log" for logarithmic spacing.
-        keep_last_n_seconds (float):
-            If > 0, only keep the last `n` seconds of the kernel_length. If 0,
-            keep the full kernel_length.
-        highpass (float, optional): Highpass frequency in Hz. Applied during
-            whitening. Defaults to None.
-        lowpass (float, optional): Lowpass frequency in Hz. Applied during
-            whitening. Defaults to None.
-
-    Example:
-        >>> preprocessor = HeterodyneTimeDomainPreprocessor(
-        ...     kernel_length=8, sample_rate=2048,
-        ...     inference_sampling_rate=16, batch_size=128,
-        ...     fduration=2, fftlength=2, chirp_mass_low=1.0,
-        ...     chirp_mass_high=2.5, num_chirp_masses=100,
-        ...     chirp_mass_spacing="log", keep_last_n_seconds=4.0,
-        ... )
-        >>> x = torch.randn(2, 16384)  # (channels, time)
-        >>> X = preprocessor(x)
-        >>> # X: (batch_size, channels x num_chirp_masses, kernel_size)
-    """
-
-    def __init__(
-        self,
-        kernel_length: float,
-        sample_rate: float,
-        inference_sampling_rate: float,
-        batch_size: int,
-        fduration: float,
-        fftlength: float,
-        chirp_mass_low: float = 1.0,
-        chirp_mass_high: float = 2.5,
-        num_chirp_masses: int = 100,
-        chirp_mass_spacing: Literal["linear", "log"] = "log",
-        keep_last_n_seconds: float = 0.0,
-        highpass: float | None = None,
-        lowpass: float | None = None,
-    ) -> None:
-        super().__init__()
-        # Calculate stride between kernels based on inference sampling rate
-        self.stride_size = int(sample_rate / inference_sampling_rate)
-        # Convert kernel length to samples
-        self.kernel_size = int(kernel_length * sample_rate)
-
-        # do length calculations in units of samples,
-        # then convert back to length to guard for intification
-        strides = (batch_size - 1) * self.stride_size
-        fsize = int(fduration * sample_rate)
-        size = strides + self.kernel_size + fsize
-        length = size / sample_rate
-
-        # Initialize PSD estimator with calculated total length
-        self.psd_estimator = PsdEstimator(
-            length,
-            sample_rate,
-            fftlength=fftlength,
-            overlap=None,
-            average="median",
-            fast=highpass is not None,
-        )
-        # Initialize whitening module
-        self.whitener = Whiten(fduration, sample_rate, highpass, lowpass)
-
-        self.chirp_mass_grid = self._create_chirp_mass_grid(
-            chirp_mass_low,
-            chirp_mass_high,
-            num_chirp_masses,
-            chirp_mass_spacing,
-        )
-
-        self.keep_last_n_samples = int(keep_last_n_seconds * sample_rate)
-
-        self.heterodyne_transform = Heterodyne(
-            sample_rate=int(sample_rate),
-            kernel_length=int(kernel_length),
-            chirp_mass=self.chirp_mass_grid,
-            return_type="time",
-        )
-
-    def _create_chirp_mass_grid(
-        self,
-        chirp_mass_low: float,
-        chirp_mass_high: float,
-        num_chirp_masses: int,
-        chirp_mass_spacing: Literal["linear", "log"],
-    ) -> torch.Tensor:
-        if chirp_mass_spacing == "linear":
-            return torch.linspace(
-                chirp_mass_low, chirp_mass_high, num_chirp_masses
-            )
-        elif chirp_mass_spacing == "log":
-            return torch.logspace(
-                math.log10(chirp_mass_low),
-                math.log10(chirp_mass_high),
-                num_chirp_masses,
-            )
-        else:
-            raise ValueError(
-                f"Invalid chirp mass spacing: {chirp_mass_spacing}"
-            )
-
-    def forward(self, x: Tensor) -> Tensor:
-        """
-        Estimate PSD, whiten data, and unfold kernels.
-
-        Args:
-            x (Tensor): Input data of shape (batch, channels, time) or
-                (channels, time).
-
-        Returns:
-            Tensor: Extracted and optionally augmented kernels of shape
-                (batch_size, channels, kernel_size).
-
-            If return_whitened=True, returns tuple of (kernels, whitened_data).
-
-        Raises:
-            ValueError: If input is not 2 or 3 dimensional.
-        """
-        # Determine number of channels for later reshaping
-        if x.ndim == 3:
-            num_channels = x.size(1)
-        elif x.ndim == 2:
-            num_channels = x.size(0)
-        else:
-            raise ValueError(
-                "Expected input to be either 2 or 3 dimensional, "
-                "but found shape {}".format(x.shape)
-            )
-
-        # Estimate PSD and prepare data
-        x, psd = self.psd_estimator(x.double())
-        # Apply whitening using estimated PSD
-        whitened = self.whitener(x, psd)
-
-        # unfold x and then put it into the expected shape.
-        # Note that if x has both signal and background
-        # batch elements, they will be interleaved along
-        # the batch dimension after unfolding
-        x = unfold_windows(whitened, self.kernel_size, self.stride_size)
-        # Reshape to (batch_size, channels, kernel_size)
-        x = x.reshape(-1, num_channels, self.kernel_size)
-        # Heterodyne the whitened timeseries
-        x = self.heterodyne_transform(x)
-        # Reshaping x from (batch_size, channels, num_chirp_mass, kernel_size)
-        # to (batch_size, channels x num_chirp_mass, kernel_size)
-        _B, _C, _M, _T = x.shape
-        x = x.reshape(_B, _C * _M, _T)
-        # Returning the desired length of heterodyned strain in the
-        # time dimension
-        if self.keep_last_n_samples > 0:
-            return x[..., -self.keep_last_n_samples :]
-        else:
-            return x
diff --git a/libs/utils/uv.lock b/libs/utils/uv.lock
index 5d5bc6939..1cfd3e70d 100644
--- a/libs/utils/uv.lock
+++ b/libs/utils/uv.lock
@@ -456,7 +456,7 @@ wheels = [
 
 [[package]]
 name = "ml4gw"
-version = "0.7.10"
+version = "0.8.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jaxtyping" },
@@ -465,9 +465,9 @@ dependencies = [
     { name = "torch" },
     { name = "torchaudio" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/42/4b/d04a579fe0009f29f336af329d231dfd0da32c1f03560cbfdcd1d3081b86/ml4gw-0.7.10.tar.gz", hash = "sha256:20c54524b9f44669ef2b320832c62fac9766d2374019cfd798ec89a83adf1e99", size = 119139, upload-time = "2025-12-03T01:34:50.761Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/2a/56/abb490d353f989802f918ee92cf6c9a37336483aa20c7f17df7730d81744/ml4gw-0.8.0.tar.gz", hash = "sha256:43a2411ae348f8f911fdc0e2defd4fa54370414fa8b51c63518de3cb805754ba", size = 121709, upload-time = "2026-04-17T13:15:20.347Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/04/a8/174f4112c2dae1c61f0ed1c5eb32b7b7dd0c34b8050ec1a67d45480f34b3/ml4gw-0.7.10-py3-none-any.whl", hash = "sha256:f9edaa40365ee4441ffb42b4bf542a70522990495659bef441fbb2eba0efbcf4", size = 129192, upload-time = "2025-12-03T01:34:49.491Z" },
+    { url = "https://files.pythonhosted.org/packages/2a/22/64102f10ad7f9043083d8bafcf84b8f2e8abc84bfc214fd04dd8d243ece9/ml4gw-0.8.0-py3-none-any.whl", hash = "sha256:0b4377541d5a90dcf9c728efa4008b4d57b942452acf564856ac58f599273070", size = 132926, upload-time = "2026-04-17T13:15:18.751Z" },
 ]
 
 [[package]]
@@ -1124,7 +1124,7 @@ dev = [
 requires-dist = [
     { name = "astropy", specifier = ">=6.0.1" },
     { name = "h5py", specifier = "~=3.6" },
-    { name = "ml4gw", specifier = ">=0.7.10" },
+    { name = "ml4gw", specifier = ">=0.8.0" },
     { name = "numpy", specifier = ">=1.26.4,<2" },
     { name = "s3fs", specifier = ">=2024,<2025" },
 ]
diff --git a/projects/export/export_heterodyne.yaml b/projects/export/export_heterodyne.yaml
index f51b11810..1e3414634 100644
--- a/projects/export/export_heterodyne.yaml
+++ b/projects/export/export_heterodyne.yaml
@@ -9,26 +9,31 @@ weights:
 batch_file:
 repository_directory:
 num_ifos: 2
-kernel_length: 8.0
+kernel_length: 4.0
 inference_sampling_rate: 4
 sample_rate: 2048
 batch_size: 128
 fduration: 2
 psd_length: 64
 preprocessor:
-  class_path: utils.preprocessing.HeterodyneTimeDomainPreprocessor
+  class_path: utils.preprocessing.BatchWhitener
   init_args:
-    kernel_length: 8.0
+    kernel_length: 4.0
     sample_rate: 2048
     inference_sampling_rate: 4
     batch_size: 128
     fduration: 2
     fftlength: 2
-    chirp_mass_low: 1.0 
-    chirp_mass_high: 2.5 
-    num_chirp_masses: 100
-    chirp_mass_spacing: "log" 
-    keep_last_n_seconds: 4.0
+    augmentor:
+      class_path: utils.augmentation.HeterodyneAugmentor
+      init_args:
+        sample_rate: 2048
+        kernel_length: 4.0
+        chirp_mass_low: 1.0
+        chirp_mass_high: 2.5 
+        num_chirp_masses: 100
+        chirp_mass_spacing: "log" 
+        keep_last_n_seconds: null
     highpass: 32.0
 streams_per_gpu: 12
 # num_outputs:
diff --git a/projects/export/pyproject.toml b/projects/export/pyproject.toml
index 609e4e4fe..b95355d18 100644
--- a/projects/export/pyproject.toml
+++ b/projects/export/pyproject.toml
@@ -6,7 +6,7 @@ authors = [{ name = "Ethan Jacob Marx", email = "ethan.marx@ligo.org" }]
 requires-python = ">=3.10,<3.13"
 license = "MIT"
 dependencies = [
-    "ml4gw>=0.7.13",
+    "ml4gw>=0.8.0",
     "boto3~=1.30",
     "fsspec[s3]>=2024,<2025",
     "ml4gw-hermes[torch]>=0.2.1",
diff --git a/projects/train/configs/time_heterodyne.yaml b/projects/train/configs/time_heterodyne.yaml
index add60628b..d2928f781 100644
--- a/projects/train/configs/time_heterodyne.yaml
+++ b/projects/train/configs/time_heterodyne.yaml
@@ -57,7 +57,7 @@ data:
     chirp_mass_high: 2.5
     num_chirp_masses: 100
     chirp_mass_spacing: "log"
-    keep_last_n_seconds: 4
+    keep_last_n_seconds: null
     # highpass: 
     # lowpass: 
     fftlength: 2
diff --git a/projects/train/pyproject.toml b/projects/train/pyproject.toml
index 97556ca43..d81f1834a 100644
--- a/projects/train/pyproject.toml
+++ b/projects/train/pyproject.toml
@@ -22,7 +22,7 @@ dependencies = [
     "fsspec[s3]>=2024,<2025",
     "urllib3>=1.25.4,<1.27",
     "utils",
-    "ml4gw>=0.7.13",
+    "ml4gw>=0.8.0",
     "aframe",
     "ledger",
     "priors",
diff --git a/projects/train/train/data/supervised/time_domain.py b/projects/train/train/data/supervised/time_domain.py
index 10a876605..c31bbbafe 100644
--- a/projects/train/train/data/supervised/time_domain.py
+++ b/projects/train/train/data/supervised/time_domain.py
@@ -43,8 +43,8 @@ class HeterodyneTimeDomainSupervisedAframeDataset(SupervisedAframeDataset):
             Spacing of chirp mass grid. Use "linear" for evenly spaced
             values or "log" for logarithmic spacing.
         keep_last_n_seconds (float):
-            If > 0, only keep the last `n` seconds of the kernel_length. If 0,
-            keep the full kernel_length.
+            If provided, only the last `n` seconds of the kernel_length are
+            returned. Otherwise, the full kernel_length is returned.
     """
 
     def __init__(
@@ -53,7 +53,7 @@ def __init__(
         chirp_mass_high: float = 2.5,
         num_chirp_masses: int = 100,
         chirp_mass_spacing: Literal["linear", "log"] = "log",
-        keep_last_n_seconds: float = 0.0,
+        keep_last_n_seconds: float = None,
         *args,
         **kwargs,
     ):
@@ -66,15 +66,18 @@ def __init__(
             chirp_mass_spacing,
         )
 
-        self.keep_last_n_samples = int(
-            keep_last_n_seconds * self.hparams.sample_rate
-        )
+        self.keep_last_n_seconds = keep_last_n_seconds
+
+        if self.keep_last_n_seconds is not None:
+            self.keep_last_n_samples = int(
+                self.keep_last_n_seconds * self.hparams.sample_rate
+            )
 
     def build_transforms(self, *args, **kwargs):
         super().build_transforms(*args, **kwargs)
         self.heterodyne_transform = Heterodyne(
-            sample_rate=int(self.hparams.sample_rate),
-            kernel_length=int(self.hparams.kernel_length),
+            sample_rate=self.hparams.sample_rate,
+            kernel_length=self.hparams.kernel_length,
             chirp_mass=self.chirp_mass_grid,
             return_type="time",
         )
@@ -117,7 +120,7 @@ def build_val_batches(self, background, signals):
         _V_fg, _B_fg, _C_fg, _M_fg, _T_fg = X_fg.shape
         X_fg = X_fg.view(_V_fg, _B_fg, _C_fg * _M_fg, _T_fg)
 
-        if self.keep_last_n_samples > 0:
+        if self.keep_last_n_seconds is not None:
             return X_bg[..., -self.keep_last_n_samples :], X_fg[
                 ..., -self.keep_last_n_samples :
             ]
@@ -131,7 +134,7 @@ def inject(self, X, waveforms=None):
         _B, _C, _M, _T = X.shape
         X = X.view(_B, _C * _M, _T)
 
-        if self.keep_last_n_samples > 0:
+        if self.keep_last_n_seconds is not None:
             return X[..., -self.keep_last_n_samples :], y
         else:
             return X, y
diff --git a/uv.lock b/uv.lock
index ec36dea15..b3700fae0 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1299,7 +1299,7 @@ name = "importlib-metadata"
 version = "8.6.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "zipp" },
+    { name = "zipp", marker = "python_full_version < '3.12'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/33/08/c1395a292bb23fd03bdf572a1357c5a733d3eecbab877641ceacab23db6e/importlib_metadata-8.6.1.tar.gz", hash = "sha256:310b41d755445d74569f993ccfc22838295d9fe005425094fad953d7f15c8580", size = 55767, upload-time = "2025-01-20T22:21:30.429Z" }
 wheels = [
@@ -1911,7 +1911,7 @@ wheels = [
 
 [[package]]
 name = "ml4gw"
-version = "0.7.11"
+version = "0.8.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jaxtyping" },
@@ -1920,9 +1920,9 @@ dependencies = [
     { name = "torch" },
     { name = "torchaudio" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/6f/0a/722f553635ffc91b32623e69a4c93591c11ce2c24a10e4bda35ab0d8e6ae/ml4gw-0.7.11.tar.gz", hash = "sha256:8df9ebecd97ed6a6e8ba07fab40882f5966e646897f5187a9ccf7913faf6464e", size = 119593, upload-time = "2026-01-29T20:34:30.794Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/2a/56/abb490d353f989802f918ee92cf6c9a37336483aa20c7f17df7730d81744/ml4gw-0.8.0.tar.gz", hash = "sha256:43a2411ae348f8f911fdc0e2defd4fa54370414fa8b51c63518de3cb805754ba", size = 121709, upload-time = "2026-04-17T13:15:20.347Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/89/7d/f8c3e695d52cd9e70fd3f7bb51efd29848a3eb481dc1b94228f481dd05f8/ml4gw-0.7.11-py3-none-any.whl", hash = "sha256:0a6645f27444d266fb94afe988450bc2d00e24bd70328b0a5903194e1900acdb", size = 129588, upload-time = "2026-01-29T20:34:29.357Z" },
+    { url = "https://files.pythonhosted.org/packages/2a/22/64102f10ad7f9043083d8bafcf84b8f2e8abc84bfc214fd04dd8d243ece9/ml4gw-0.8.0-py3-none-any.whl", hash = "sha256:0b4377541d5a90dcf9c728efa4008b4d57b942452acf564856ac58f599273070", size = 132926, upload-time = "2026-04-17T13:15:18.751Z" },
 ]
 
 [[package]]
@@ -3688,7 +3688,7 @@ dependencies = [
 requires-dist = [
     { name = "astropy", specifier = ">=6.0.1" },
     { name = "h5py", specifier = "~=3.6" },
-    { name = "ml4gw", specifier = ">=0.7.10" },
+    { name = "ml4gw", specifier = ">=0.8.0" },
     { name = "numpy", specifier = ">=1.26.4,<2" },
     { name = "s3fs", specifier = ">=2024,<2025" },
 ]

From 177bf7401e4fed77b34b4ee54209dcd8da0a2c9d Mon Sep 17 00:00:00 2001
From: Bhavya Gupta <bgupta1@dt-login02.delta.ncsa.illinois.edu>
Date: Fri, 17 Apr 2026 14:26:12 -0500
Subject: [PATCH 09/27] fix pyproject.toml

---
 projects/export/uv.lock | 10 +++++-----
 projects/train/uv.lock  | 10 +++++-----
 2 files changed, 10 insertions(+), 10 deletions(-)

diff --git a/projects/export/uv.lock b/projects/export/uv.lock
index d1b58c1a0..a57e9deec 100644
--- a/projects/export/uv.lock
+++ b/projects/export/uv.lock
@@ -528,7 +528,7 @@ requires-dist = [
     { name = "boto3", specifier = "~=1.30" },
     { name = "fsspec", extras = ["s3"], specifier = ">=2024,<2025" },
     { name = "jsonargparse", specifier = ">=4.27.1,<5" },
-    { name = "ml4gw", specifier = ">=0.7.13" },
+    { name = "ml4gw", specifier = ">=0.8.0" },
     { name = "ml4gw-hermes", extras = ["torch"], specifier = ">=0.2.1" },
     { name = "nvidia-cudnn-cu11", specifier = "==8.9.6.50" },
     { name = "tensorrt", specifier = "==8.5.2.2" },
@@ -972,7 +972,7 @@ wheels = [
 
 [[package]]
 name = "ml4gw"
-version = "0.7.13"
+version = "0.8.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jaxtyping" },
@@ -981,9 +981,9 @@ dependencies = [
     { name = "torch" },
     { name = "torchaudio" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/ba/af/bab88ca4f54386735a64502a990f1bc4edb6a0353aa2b910efd9aa244919/ml4gw-0.7.13.tar.gz", hash = "sha256:4e6264fcdb9cbf5ed6a83910a231a946770687bbc6c576f8e6dc811af7102f24", size = 121893, upload-time = "2026-04-07T00:22:25.566Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/2a/56/abb490d353f989802f918ee92cf6c9a37336483aa20c7f17df7730d81744/ml4gw-0.8.0.tar.gz", hash = "sha256:43a2411ae348f8f911fdc0e2defd4fa54370414fa8b51c63518de3cb805754ba", size = 121709, upload-time = "2026-04-17T13:15:20.347Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/a8/7e/1499d3835e9fb9adeeb8b5b5107dcdee79c37d6a61cd9db912fe59100efa/ml4gw-0.7.13-py3-none-any.whl", hash = "sha256:53132028674bb079759f97b664ba8d1ab1e53ecb21a50660b9015ae7c518bde0", size = 132944, upload-time = "2026-04-07T00:22:24.325Z" },
+    { url = "https://files.pythonhosted.org/packages/2a/22/64102f10ad7f9043083d8bafcf84b8f2e8abc84bfc214fd04dd8d243ece9/ml4gw-0.8.0-py3-none-any.whl", hash = "sha256:0b4377541d5a90dcf9c728efa4008b4d57b942452acf564856ac58f599273070", size = 132926, upload-time = "2026-04-17T13:15:18.751Z" },
 ]
 
 [[package]]
@@ -1980,7 +1980,7 @@ dependencies = [
 requires-dist = [
     { name = "astropy", specifier = ">=6.0.1" },
     { name = "h5py", specifier = "~=3.6" },
-    { name = "ml4gw", specifier = ">=0.7.10" },
+    { name = "ml4gw", specifier = ">=0.8.0" },
     { name = "numpy", specifier = ">=1.26.4,<2" },
     { name = "s3fs", specifier = ">=2024,<2025" },
 ]
diff --git a/projects/train/uv.lock b/projects/train/uv.lock
index 46a97b18a..c8d33f285 100644
--- a/projects/train/uv.lock
+++ b/projects/train/uv.lock
@@ -2321,7 +2321,7 @@ wheels = [
 
 [[package]]
 name = "ml4gw"
-version = "0.7.13"
+version = "0.8.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jaxtyping" },
@@ -2330,9 +2330,9 @@ dependencies = [
     { name = "torch" },
     { name = "torchaudio" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/ba/af/bab88ca4f54386735a64502a990f1bc4edb6a0353aa2b910efd9aa244919/ml4gw-0.7.13.tar.gz", hash = "sha256:4e6264fcdb9cbf5ed6a83910a231a946770687bbc6c576f8e6dc811af7102f24", size = 121893, upload-time = "2026-04-07T00:22:25.566Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/2a/56/abb490d353f989802f918ee92cf6c9a37336483aa20c7f17df7730d81744/ml4gw-0.8.0.tar.gz", hash = "sha256:43a2411ae348f8f911fdc0e2defd4fa54370414fa8b51c63518de3cb805754ba", size = 121709, upload-time = "2026-04-17T13:15:20.347Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/a8/7e/1499d3835e9fb9adeeb8b5b5107dcdee79c37d6a61cd9db912fe59100efa/ml4gw-0.7.13-py3-none-any.whl", hash = "sha256:53132028674bb079759f97b664ba8d1ab1e53ecb21a50660b9015ae7c518bde0", size = 132944, upload-time = "2026-04-07T00:22:24.325Z" },
+    { url = "https://files.pythonhosted.org/packages/2a/22/64102f10ad7f9043083d8bafcf84b8f2e8abc84bfc214fd04dd8d243ece9/ml4gw-0.8.0-py3-none-any.whl", hash = "sha256:0b4377541d5a90dcf9c728efa4008b4d57b942452acf564856ac58f599273070", size = 132926, upload-time = "2026-04-17T13:15:18.751Z" },
 ]
 
 [[package]]
@@ -4372,7 +4372,7 @@ requires-dist = [
     { name = "ledger", editable = "../../libs/ledger" },
     { name = "lightning", specifier = "==2.2.1" },
     { name = "lightray", specifier = ">=0.2.3" },
-    { name = "ml4gw", specifier = ">=0.7.13" },
+    { name = "ml4gw", specifier = ">=0.8.0" },
     { name = "priors", editable = "../../libs/priors" },
     { name = "ray", extras = ["default", "tune"], specifier = ">=2.8.0,<3" },
     { name = "s3fs", specifier = ">=2024,<2025" },
@@ -4511,7 +4511,7 @@ dependencies = [
 requires-dist = [
     { name = "astropy", specifier = ">=6.0.1" },
     { name = "h5py", specifier = "~=3.6" },
-    { name = "ml4gw", specifier = ">=0.7.10" },
+    { name = "ml4gw", specifier = ">=0.8.0" },
     { name = "numpy", specifier = ">=1.26.4,<2" },
     { name = "s3fs", specifier = ">=2024,<2025" },
 ]

From 2475846d4ab8faeca7443a71818e7ab26a0a50f4 Mon Sep 17 00:00:00 2001
From: Bhavya Gupta <bgupta1@dt-login02.delta.ncsa.illinois.edu>
Date: Fri, 17 Apr 2026 14:34:05 -0500
Subject: [PATCH 10/27] fix uv.lock files

---
 projects/data/uv.lock   | 10 ++++++----
 projects/online/uv.lock | 10 ++++++----
 2 files changed, 12 insertions(+), 8 deletions(-)

diff --git a/projects/data/uv.lock b/projects/data/uv.lock
index d456db315..4008a1c04 100644
--- a/projects/data/uv.lock
+++ b/projects/data/uv.lock
@@ -333,6 +333,8 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/8b/c5/ad5ca082b2610defc488679690df8137300c6bb396b24f783e3d74873fa4/bilby.cython-0.5.3-cp312-cp312-macosx_12_0_x86_64.whl", hash = "sha256:264ccd8ca1adabc794931ed6deb5082ad0ed4b52694be8158cb421a80a752bca", size = 351851, upload-time = "2024-08-23T15:22:07.895Z" },
     { url = "https://files.pythonhosted.org/packages/13/26/f0b46d56d278665b484ec421dc571fb28bdd81635137d00e0edc2c8fddc9/bilby.cython-0.5.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:44e5e381c2861e26a4e1fd5c591ea0c3c9a0e2f0d8c78f28f8704abf2945cd8d", size = 1014120, upload-time = "2024-08-23T15:22:09.942Z" },
     { url = "https://files.pythonhosted.org/packages/11/de/02429d598ec5ed4c70113a2c3e8b76a5b113885f85eacdcdaf19cbb6d23d/bilby.cython-0.5.3-cp312-cp312-win_amd64.whl", hash = "sha256:2758256339d7c3703014b265d3a77e0299d5c6264f962bc311c989ac453cbd60", size = 357801, upload-time = "2024-08-23T15:54:20.941Z" },
+    { url = "https://files.pythonhosted.org/packages/73/b9/e8a78c082d8708ea4cc9c65b53dfed9d1d6bc9b3a44d712811b9e55022ee/bilby_cython-0.5.3-cp311-cp311-win_amd64.whl", hash = "sha256:d39ad43c8962a32b7c561ee07f0f9fb9e656a7847b30176695007b31426d2474", size = 363731, upload-time = "2026-02-23T16:52:49.722Z" },
+    { url = "https://files.pythonhosted.org/packages/7b/a2/6a8e2a8a0721b758745e2a35f91c5ff380cf0f795408bc74b9aa8c589f0a/bilby_cython-0.5.3-cp312-cp312-win_amd64.whl", hash = "sha256:9aabbcce359c63c78cf1c1bf4d714c438a2936ddd4e061fe90b3320415dd12f6", size = 361366, upload-time = "2026-02-23T16:52:50.964Z" },
 ]
 
 [[package]]
@@ -1494,7 +1496,7 @@ wheels = [
 
 [[package]]
 name = "ml4gw"
-version = "0.7.11"
+version = "0.8.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jaxtyping" },
@@ -1503,9 +1505,9 @@ dependencies = [
     { name = "torch" },
     { name = "torchaudio" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/6f/0a/722f553635ffc91b32623e69a4c93591c11ce2c24a10e4bda35ab0d8e6ae/ml4gw-0.7.11.tar.gz", hash = "sha256:8df9ebecd97ed6a6e8ba07fab40882f5966e646897f5187a9ccf7913faf6464e", size = 119593, upload-time = "2026-01-29T20:34:30.794Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/2a/56/abb490d353f989802f918ee92cf6c9a37336483aa20c7f17df7730d81744/ml4gw-0.8.0.tar.gz", hash = "sha256:43a2411ae348f8f911fdc0e2defd4fa54370414fa8b51c63518de3cb805754ba", size = 121709, upload-time = "2026-04-17T13:15:20.347Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/89/7d/f8c3e695d52cd9e70fd3f7bb51efd29848a3eb481dc1b94228f481dd05f8/ml4gw-0.7.11-py3-none-any.whl", hash = "sha256:0a6645f27444d266fb94afe988450bc2d00e24bd70328b0a5903194e1900acdb", size = 129588, upload-time = "2026-01-29T20:34:29.357Z" },
+    { url = "https://files.pythonhosted.org/packages/2a/22/64102f10ad7f9043083d8bafcf84b8f2e8abc84bfc214fd04dd8d243ece9/ml4gw-0.8.0-py3-none-any.whl", hash = "sha256:0b4377541d5a90dcf9c728efa4008b4d57b942452acf564856ac58f599273070", size = 132926, upload-time = "2026-04-17T13:15:18.751Z" },
 ]
 
 [[package]]
@@ -2706,7 +2708,7 @@ dependencies = [
 requires-dist = [
     { name = "astropy", specifier = ">=6.0.1" },
     { name = "h5py", specifier = "~=3.6" },
-    { name = "ml4gw", specifier = ">=0.7.10" },
+    { name = "ml4gw", specifier = ">=0.8.0" },
     { name = "numpy", specifier = ">=1.26.4,<2" },
     { name = "s3fs", specifier = ">=2024,<2025" },
 ]
diff --git a/projects/online/uv.lock b/projects/online/uv.lock
index f97583ee8..4eaab91bb 100644
--- a/projects/online/uv.lock
+++ b/projects/online/uv.lock
@@ -478,6 +478,8 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/8b/c5/ad5ca082b2610defc488679690df8137300c6bb396b24f783e3d74873fa4/bilby.cython-0.5.3-cp312-cp312-macosx_12_0_x86_64.whl", hash = "sha256:264ccd8ca1adabc794931ed6deb5082ad0ed4b52694be8158cb421a80a752bca", size = 351851, upload-time = "2024-08-23T15:22:07.895Z" },
     { url = "https://files.pythonhosted.org/packages/13/26/f0b46d56d278665b484ec421dc571fb28bdd81635137d00e0edc2c8fddc9/bilby.cython-0.5.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:44e5e381c2861e26a4e1fd5c591ea0c3c9a0e2f0d8c78f28f8704abf2945cd8d", size = 1014120, upload-time = "2024-08-23T15:22:09.942Z" },
     { url = "https://files.pythonhosted.org/packages/11/de/02429d598ec5ed4c70113a2c3e8b76a5b113885f85eacdcdaf19cbb6d23d/bilby.cython-0.5.3-cp312-cp312-win_amd64.whl", hash = "sha256:2758256339d7c3703014b265d3a77e0299d5c6264f962bc311c989ac453cbd60", size = 357801, upload-time = "2024-08-23T15:54:20.941Z" },
+    { url = "https://files.pythonhosted.org/packages/73/b9/e8a78c082d8708ea4cc9c65b53dfed9d1d6bc9b3a44d712811b9e55022ee/bilby_cython-0.5.3-cp311-cp311-win_amd64.whl", hash = "sha256:d39ad43c8962a32b7c561ee07f0f9fb9e656a7847b30176695007b31426d2474", size = 363731, upload-time = "2026-02-23T16:52:49.722Z" },
+    { url = "https://files.pythonhosted.org/packages/7b/a2/6a8e2a8a0721b758745e2a35f91c5ff380cf0f795408bc74b9aa8c589f0a/bilby_cython-0.5.3-cp312-cp312-win_amd64.whl", hash = "sha256:9aabbcce359c63c78cf1c1bf4d714c438a2936ddd4e061fe90b3320415dd12f6", size = 361366, upload-time = "2026-02-23T16:52:50.964Z" },
 ]
 
 [[package]]
@@ -2276,7 +2278,7 @@ wheels = [
 
 [[package]]
 name = "ml4gw"
-version = "0.7.11"
+version = "0.8.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jaxtyping" },
@@ -2285,9 +2287,9 @@ dependencies = [
     { name = "torch" },
     { name = "torchaudio" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/6f/0a/722f553635ffc91b32623e69a4c93591c11ce2c24a10e4bda35ab0d8e6ae/ml4gw-0.7.11.tar.gz", hash = "sha256:8df9ebecd97ed6a6e8ba07fab40882f5966e646897f5187a9ccf7913faf6464e", size = 119593, upload-time = "2026-01-29T20:34:30.794Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/2a/56/abb490d353f989802f918ee92cf6c9a37336483aa20c7f17df7730d81744/ml4gw-0.8.0.tar.gz", hash = "sha256:43a2411ae348f8f911fdc0e2defd4fa54370414fa8b51c63518de3cb805754ba", size = 121709, upload-time = "2026-04-17T13:15:20.347Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/2a/22/64102f10ad7f9043083d8bafcf84b8f2e8abc84bfc214fd04dd8d243ece9/ml4gw-0.8.0-py3-none-any.whl", hash = "sha256:0b4377541d5a90dcf9c728efa4008b4d57b942452acf564856ac58f599273070", size = 132926, upload-time = "2026-04-17T13:15:18.751Z" },
 ]
 
 [[package]]
@@ -4432,7 +4434,7 @@ dependencies = [
 requires-dist = [
     { name = "astropy", specifier = ">=6.0.1" },
     { name = "h5py", specifier = "~=3.6" },
-    { name = "ml4gw", specifier = ">=0.7.10" },
+    { name = "ml4gw", specifier = ">=0.8.0" },
     { name = "numpy", specifier = ">=1.26.4,<2" },
     { name = "s3fs", specifier = ">=2024,<2025" },
 ]

From 97d9b69e554feb6211e35b807e005dd18ed416ab Mon Sep 17 00:00:00 2001
From: William Benoit <benoi090@umn.edu>
Date: Sun, 12 Apr 2026 12:30:38 -0500
Subject: [PATCH 11/27] Move possible deps to pyproject.toml

---
 projects/data/conda-lock.yml     | 5331 +++---------------------------
 projects/data/environment.yaml   |   17 +-
 projects/data/pyproject.toml     |   14 +
 projects/data/uv.lock            |  322 ++
 projects/online/conda-lock.yml   | 1870 +----------
 projects/online/environment.yaml |   18 +-
 projects/online/pyproject.toml   |    5 +
 projects/online/uv.lock          |   98 +
 8 files changed, 1023 insertions(+), 6652 deletions(-)

diff --git a/projects/data/conda-lock.yml b/projects/data/conda-lock.yml
index 0cddc923c..33c8b516c 100644
--- a/projects/data/conda-lock.yml
+++ b/projects/data/conda-lock.yml
@@ -13,7 +13,7 @@
 version: 1
 metadata:
   content_hash:
-    linux-64: 872d1379545415f4641458d1ce091c3968820a356b13f50375c8dd32fe0d301e
+    linux-64: a31adc04c6ab7b4b2865356004c78d78100bb7e7aa3a8254a3fa8190d6d243e9
   channels:
   - url: conda-forge
     used_env_vars: []
@@ -23,5015 +23,770 @@ metadata:
   - environment.yaml
   - /home/ethan.marx/projects/aframev2/projects/data/environment.yaml
 package:
-- name: _libgcc_mutex
-  version: '0.1'
-  manager: conda
-  platform: linux-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
-  hash:
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-    sha256: fe51de6107f9edc7aa4f786a70f4a883943bc9d39b3bb7307c04c41410990726
-  category: main
-  optional: false
 - name: _openmp_mutex
   version: '4.5'
   manager: conda
   platform: linux-64
   dependencies:
-    _libgcc_mutex: '0.1'
+    __glibc: '>=2.17,<3.0.a0'
     libgomp: '>=7.5.0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2
+  url: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-20_gnu.conda
   hash:
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-    sha256: fbe2c5e56a653bebb982eda4876a9178aedfc2b545f25d0ce9c4c0b508253d22
+    md5: a9f577daf3de00bca7c3c76c0ecbd1de
+    sha256: 1dd3fffd892081df9726d7eb7e0dea6198962ba775bd88842135a4ddb4deb3c9
   category: main
   optional: false
-- name: _python_abi3_support
-  version: '1.0'
+- name: bzip2
+  version: 1.0.8
   manager: conda
   platform: linux-64
   dependencies:
-    cpython: ''
-    python-gil: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/_python_abi3_support-1.0-hd8ed1ab_2.conda
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=14'
+  url: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hda65f42_9.conda
   hash:
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-    sha256: a3967b937b9abf0f2a99f3173fa4630293979bd1644709d89580e7c62a544661
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+    sha256: 0b75d45f0bba3e95dc693336fa51f40ea28c980131fec438afb7ce6118ed05f6
   category: main
   optional: false
-- name: aiobotocore
-  version: 3.1.2
+- name: ca-certificates
+  version: 2026.2.25
   manager: conda
   platform: linux-64
   dependencies:
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-    aiohttp: '>=3.12.0,<4.0.0'
-    aioitertools: '>=0.5.1,<1.0.0'
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-    python-dateutil: '>=2.1,<3.0.0'
-    jmespath: '>=0.7.1,<2.0.0'
-    multidict: '>=6.0.0,<7.0.0'
-    wrapt: '>=1.10.10,<3.0.0'
-    typing_extensions: '>=4.14.0,<5.0.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/aiobotocore-3.1.2-pyhcf101f3_0.conda
+    __unix: ''
+  url: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.2.25-hbd8a1cb_0.conda
   hash:
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-    sha256: b30a0025a68335198f18f0e514828539e8cd45182a4bb91ce8781d05ce93442a
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+    sha256: 67cc7101b36421c5913a1687ef1b99f85b5d6868da3abbf6ec1a4181e79782fc
   category: main
   optional: false
-- name: aiohappyeyeballs
-  version: 2.6.1
+- name: cyrus-sasl
+  version: 2.1.28
   manager: conda
   platform: linux-64
   dependencies:
-    python: '>=3.9'
-  url: https://conda.anaconda.org/conda-forge/noarch/aiohappyeyeballs-2.6.1-pyhd8ed1ab_0.conda
+    __glibc: '>=2.17,<3.0.a0'
+    krb5: '>=1.22.2,<1.23.0a0'
+    libgcc: '>=13'
+    libntlm: '>=1.8,<2.0a0'
+    libstdcxx: '>=13'
+    libxcrypt: '>=4.4.36'
+    openssl: '>=3.5.5,<4.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/cyrus-sasl-2.1.28-hac629b4_1.conda
   hash:
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-    sha256: 7842ddc678e77868ba7b92a726b437575b23aaec293bca0d40826f1026d90e27
+    md5: af491aae930edc096b58466c51c4126c
+    sha256: 7684da83306bb69686c0506fb09aa7074e1a55ade50c3a879e4e5df6eebb1009
   category: main
   optional: false
-- name: aiohttp
-  version: 3.13.3
+- name: docutils
+  version: 0.22.4
   manager: conda
   platform: linux-64
   dependencies:
-    __glibc: '>=2.17,<3.0.a0'
-    aiohappyeyeballs: '>=2.5.0'
-    aiosignal: '>=1.4.0'
-    attrs: '>=17.3.0'
-    frozenlist: '>=1.1.1'
-    libgcc: '>=14'
-    multidict: '>=4.5,<7.0'
-    propcache: '>=0.2.0'
-    python: '>=3.12,<3.13.0a0'
-    python_abi: 3.12.*
-    yarl: '>=1.17.0,<2.0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/aiohttp-3.13.3-py312h5d8c7f2_0.conda
+    python: '>=3.10'
+  url: https://conda.anaconda.org/conda-forge/noarch/docutils-0.22.4-pyhd8ed1ab_0.conda
   hash:
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-    sha256: ee6a1ac887fac367899278baab066c08b48a98ecdc3138bc497064c7d6ec5a17
+    md5: d6bd3cd217e62bbd7efe67ff224cd667
+    sha256: 0d605569a77350fb681f9ed8d357cc71649b59a304099dc9d09fbeec5e84a65e
   category: main
   optional: false
-- name: aioitertools
-  version: 0.13.0
+- name: icu
+  version: '78.3'
   manager: conda
   platform: linux-64
   dependencies:
-    python: '>=3.10'
-    typing_extensions: '>=4.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/aioitertools-0.13.0-pyhd8ed1ab_0.conda
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=14'
+    libstdcxx: '>=14'
+  url: https://conda.anaconda.org/conda-forge/linux-64/icu-78.3-h33c6efd_0.conda
   hash:
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-    sha256: 41bc8d85274c5badabe6c333cdd2e77e9c6bc0fb64251211988a71e1fd83486b
+    md5: c80d8a3b84358cb967fa81e7075fbc8a
+    sha256: fbf86c4a59c2ed05bbffb2ba25c7ed94f6185ec30ecb691615d42342baa1a16a
   category: main
   optional: false
-- name: aiosignal
-  version: 1.4.0
+- name: keyutils
+  version: 1.6.3
   manager: conda
   platform: linux-64
   dependencies:
-    frozenlist: '>=1.1.0'
-    python: '>=3.9'
-    typing_extensions: '>=4.2'
-  url: https://conda.anaconda.org/conda-forge/noarch/aiosignal-1.4.0-pyhd8ed1ab_0.conda
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+  url: https://conda.anaconda.org/conda-forge/linux-64/keyutils-1.6.3-hb9d3cd8_0.conda
   hash:
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-    sha256: 8dc149a6828d19bf104ea96382a9d04dae185d4a03cc6beb1bc7b84c428e3ca2
+    md5: b38117a3c920364aff79f870c984b4a3
+    sha256: 0960d06048a7185d3542d850986d807c6e37ca2e644342dd0c72feefcf26c2a4
   category: main
   optional: false
-- name: argcomplete
-  version: 3.6.3
+- name: krb5
+  version: 1.22.2
   manager: conda
   platform: linux-64
   dependencies:
-    python: '>=3.10'
-  url: https://conda.anaconda.org/conda-forge/noarch/argcomplete-3.6.3-pyhd8ed1ab_0.conda
+    __glibc: '>=2.17,<3.0.a0'
+    keyutils: '>=1.6.3,<2.0a0'
+    libedit: '>=3.1.20250104,<4.0a0'
+    libgcc: '>=14'
+    libstdcxx: '>=14'
+    openssl: '>=3.5.5,<4.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/krb5-1.22.2-ha1258a1_0.conda
   hash:
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-    sha256: a2a1879c53b7a8438c898d20fa5f6274e4b1c30161f93b7818236e9df6adffde
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+    sha256: 3e307628ca3527448dd1cb14ad7bb9d04d1d28c7d4c5f97ba196ae984571dd25
   category: main
   optional: false
-- name: arviz
-  version: 0.23.4
+- name: law
+  version: 0.1.20
   manager: conda
   platform: linux-64
   dependencies:
     python: ''
-    setuptools: '>=60.0.0'
-    matplotlib-base: '>=3.8'
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-    h5netcdf: '>=1.0.2'
-    typing_extensions: '>=4.1.0'
-    xarray-einstats: '>=0.3'
-    h5py: ''
-    platformdirs: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/arviz-0.23.4-pyhcf101f3_0.conda
+    six: '>=1.10'
+    luigi: '>=2.8.2'
+  url: https://conda.anaconda.org/conda-forge/noarch/law-0.1.20-pyh29332c3_2.conda
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+    md5: bd7d23497790ed63c4f5e8849cd1b5ff
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   category: main
   optional: false
-- name: astropy
-  version: 7.2.0
+- name: ld_impl_linux-64
+  version: 2.45.1
   manager: conda
   platform: linux-64
   dependencies:
-    aiohttp: ''
-    astropy-base: '>=7.2.0,<7.2.1.0a0'
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-    python: '>=3.11'
-    pytz: '>=2016.10'
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-    scipy: '>=1.9.2'
-    sortedcontainers: '>=2.1.0'
-    uncompresspy: '>=0.4.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/astropy-7.2.0-pyhd8ed1ab_0.conda
+    __glibc: '>=2.17,<3.0.a0'
+    zstd: '>=1.5.7,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.45.1-default_hbd61a6d_102.conda
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   optional: false
-- name: astropy-base
-  version: 7.2.0
+- name: ldas-tools-al
+  version: 2.7.0
   manager: conda
   platform: linux-64
   dependencies:
     __glibc: '>=2.17,<3.0.a0'
-    astropy-iers-data: '>=0.2025.10.27.0.39.10'
+    libboost: '>=1.88.0,<1.89.0a0'
     libgcc: '>=14'
-    numpy: '>=1.24'
-    packaging: '>=22.0.0'
-    pyerfa: '>=2.0.1.1'
-    python: '>=3.12,<3.13.0a0'
-    python_abi: 3.12.*
-    pyyaml: '>=6.0.0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/astropy-base-7.2.0-py312h4f23490_0.conda
+    libstdcxx: '>=14'
+  url: https://conda.anaconda.org/conda-forge/linux-64/ldas-tools-al-2.7.0-hd827ec0_3.conda
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   optional: false
-- name: astropy-iers-data
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+- name: ldas-tools-framecpp
+  version: 2.9.3
   manager: conda
   platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/astropy-iers-data-0.2026.2.9.0.50.33-pyhd8ed1ab_0.conda
+    __glibc: '>=2.17,<3.0.a0'
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+    libstdcxx: '>=14'
+    libzlib: '>=1.3.1,<2.0a0'
+    openssl: '>=3.5.2,<4.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/ldas-tools-framecpp-2.9.3-he85ded8_4.conda
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+    md5: 41b300c2be384755cc193016f4eadb0c
+    sha256: abbee4227ac52d8d86ee48ac6b72a557087c4f4c3db744e792320d3db100e567
   category: main
   optional: false
-- name: asttokens
-  version: 3.0.1
+- name: libblas
+  version: 3.11.0
   manager: conda
   platform: linux-64
   dependencies:
-    python: '>=3.10'
-  url: https://conda.anaconda.org/conda-forge/noarch/asttokens-3.0.1-pyhd8ed1ab_0.conda
+    libopenblas: '>=0.3.32,<1.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.11.0-6_h4a7cf45_openblas.conda
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   category: main
   optional: false
-- name: attrs
-  version: 25.4.0
+- name: libboost
+  version: 1.88.0
   manager: conda
   platform: linux-64
   dependencies:
-    python: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/attrs-25.4.0-pyhcf101f3_1.conda
+    __glibc: '>=2.17,<3.0.a0'
+    bzip2: '>=1.0.8,<2.0a0'
+    icu: '>=78.1,<79.0a0'
+    libgcc: '>=14'
+    liblzma: '>=5.8.1,<6.0a0'
+    libstdcxx: '>=14'
+    libzlib: '>=1.3.1,<2.0a0'
+    zstd: '>=1.5.7,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libboost-1.88.0-hd24cca6_7.conda
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   category: main
   optional: false
-- name: aws-c-auth
-  version: 0.9.3
+- name: libcblas
+  version: 3.11.0
   manager: conda
   platform: linux-64
   dependencies:
-    libgcc: '>=14'
-    __glibc: '>=2.17,<3.0.a0'
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-    aws-c-io: '>=0.23.3,<0.23.4.0a0'
-    aws-c-common: '>=0.12.6,<0.12.7.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-auth-0.9.3-hef928c7_0.conda
+    libblas: 3.11.0
+  url: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.11.0-6_h0358290_openblas.conda
   hash:
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-    sha256: d9c5babed03371448bb0dc91a1573c80d278d1222a3b0accef079ed112e584f9
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   category: main
   optional: false
-- name: aws-c-cal
-  version: 0.9.13
+- name: libedit
+  version: 3.1.20250104
   manager: conda
   platform: linux-64
   dependencies:
+    ncurses: '>=6.5,<7.0a0'
     __glibc: '>=2.17,<3.0.a0'
-    aws-c-common: '>=0.12.6,<0.12.7.0a0'
-    libgcc: '>=14'
-    openssl: '>=3.5.4,<4.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-cal-0.9.13-h2c9d079_1.conda
+    libgcc: '>=13'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20250104-pl5321h7949ede_0.conda
   hash:
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-    sha256: f21d648349a318f4ae457ea5403d542ba6c0e0343b8642038523dd612b2a5064
+    md5: c277e0a4d549b03ac1e9d6cbbe3d017b
+    sha256: d789471216e7aba3c184cd054ed61ce3f6dac6f87a50ec69291b9297f8c18724
   category: main
   optional: false
-- name: aws-c-common
-  version: 0.12.6
+- name: libexpat
+  version: 2.7.5
   manager: conda
   platform: linux-64
   dependencies:
     __glibc: '>=2.17,<3.0.a0'
     libgcc: '>=14'
-  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-common-0.12.6-hb03c661_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.7.5-hecca717_0.conda
   hash:
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   optional: false
-- name: aws-c-compression
-  version: 0.3.1
+- name: libffi
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   manager: conda
   platform: linux-64
   dependencies:
-    libgcc: '>=14'
     __glibc: '>=2.17,<3.0.a0'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-compression-0.3.1-h8b1a151_9.conda
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-- name: aws-c-event-stream
-  version: 0.5.7
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   manager: conda
   platform: linux-64
   dependencies:
-    libgcc: '>=14'
-    libstdcxx: '>=14'
     __glibc: '>=2.17,<3.0.a0'
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   optional: false
-- name: aws-c-http
-  version: 0.10.7
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   manager: conda
   platform: linux-64
   dependencies:
-    libgcc: '>=14'
-    __glibc: '>=2.17,<3.0.a0'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-http-0.10.7-ha8fc4e3_5.conda
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   optional: false
-- name: aws-c-io
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   manager: conda
   platform: linux-64
   dependencies:
-    libgcc: '>=14'
-    __glibc: '>=2.17,<3.0.a0'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-io-0.23.3-hdaf4b65_5.conda
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   optional: false
-- name: aws-c-mqtt
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+- name: libgfortran5
+  version: 15.2.0
   manager: conda
   platform: linux-64
   dependencies:
-    libgcc: '>=14'
     __glibc: '>=2.17,<3.0.a0'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-mqtt-0.13.3-hc63082f_11.conda
+    libgcc: '>=15.2.0'
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   optional: false
-- name: aws-c-s3
-  version: 0.11.3
+- name: libgomp
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   manager: conda
   platform: linux-64
   dependencies:
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     __glibc: '>=2.17,<3.0.a0'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-s3-0.11.3-h06ab39a_1.conda
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   category: main
   optional: false
-- name: aws-c-sdkutils
-  version: 0.2.4
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   manager: conda
   platform: linux-64
   dependencies:
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-    libgcc: '>=14'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-sdkutils-0.2.4-h8b1a151_4.conda
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   category: main
   optional: false
-- name: aws-checksums
-  version: 0.2.7
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   manager: conda
   platform: linux-64
   dependencies:
     __glibc: '>=2.17,<3.0.a0'
     libgcc: '>=14'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/aws-checksums-0.2.7-h8b1a151_5.conda
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   optional: false
-- name: aws-crt-cpp
-  version: 0.35.4
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   manager: conda
   platform: linux-64
   dependencies:
     __glibc: '>=2.17,<3.0.a0'
-    libgcc: '>=14'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/aws-crt-cpp-0.35.4-h8824e59_0.conda
+    libgcc: '>=13'
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   optional: false
-- name: aws-sdk-cpp
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+- name: libntlm
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   manager: conda
   platform: linux-64
   dependencies:
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-    libgcc: '>=14'
     __glibc: '>=2.17,<3.0.a0'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/aws-sdk-cpp-1.11.606-h20b40b1_10.conda
+    libgcc: '>=13'
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   optional: false
-- name: azure-core-cpp
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   manager: conda
   platform: linux-64
   dependencies:
     __glibc: '>=2.17,<3.0.a0'
-    libcurl: '>=8.18.0,<9.0a0'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/azure-core-cpp-1.16.2-h206d751_0.conda
+    libgfortran: ''
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-- name: azure-identity-cpp
-  version: 1.13.3
+- name: libsqlite
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   manager: conda
   platform: linux-64
   dependencies:
     __glibc: '>=2.17,<3.0.a0'
-    azure-core-cpp: '>=1.16.2,<1.16.3.0a0'
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     libgcc: '>=14'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/azure-identity-cpp-1.13.3-hed0cdb0_1.conda
+    libzlib: '>=1.3.2,<2.0a0'
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   optional: false
-- name: azure-storage-blobs-cpp
-  version: 12.16.0
+- name: libstdcxx
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   manager: conda
   platform: linux-64
   dependencies:
     __glibc: '>=2.17,<3.0.a0'
-    azure-core-cpp: '>=1.16.2,<1.16.3.0a0'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-blobs-cpp-12.16.0-hdd73cc9_1.conda
+    libgcc: 15.2.0
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   optional: false
-- name: azure-storage-common-cpp
-  version: 12.12.0
+- name: libuuid
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   manager: conda
   platform: linux-64
   dependencies:
     __glibc: '>=2.17,<3.0.a0'
-    azure-core-cpp: '>=1.16.2,<1.16.3.0a0'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-common-cpp-12.12.0-ha7a2c86_1.conda
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   optional: false
-- name: azure-storage-files-datalake-cpp
-  version: 12.14.0
+- name: libxcrypt
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   manager: conda
   platform: linux-64
   dependencies:
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-    azure-core-cpp: '>=1.16.2,<1.16.3.0a0'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-files-datalake-cpp-12.14.0-h52c5a47_1.conda
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libxcrypt-4.4.36-hd590300_1.conda
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   optional: false
-- name: backports.zstd
-  version: 1.3.0
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   manager: conda
   platform: linux-64
   dependencies:
-    python: ''
-    libgcc: '>=14'
     __glibc: '>=2.17,<3.0.a0'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/backports.zstd-1.3.0-py312h90b7ffd_0.conda
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   category: main
   optional: false
-- name: bcrypt
-  version: 5.0.0
+- name: lockfile
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   manager: conda
   platform: linux-64
   dependencies:
     python: ''
-    __glibc: '>=2.17,<3.0.a0'
-    libgcc: '>=14'
-    python_abi: 3.12.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/bcrypt-5.0.0-py312h868fb18_1.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/lockfile-0.12.2-py_1.tar.bz2
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   optional: false
-- name: beautifulsoup4
-  version: 4.14.3
+- name: luigi
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   manager: conda
   platform: linux-64
   dependencies:
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-    soupsieve: '>=1.2'
-    typing-extensions: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.14.3-pyha770c72_0.conda
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+    python-dateutil: '>=2.7.5,<3'
+    tenacity: '>=9'
+    tornado: '>=5.0,<7'
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-- name: charset-normalizer
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-- name: click
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-- name: cloudpickle
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-- name: fsspec
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-- name: future
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-- name: gast
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-- name: gflags
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-- name: glog
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-- name: gsl
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-- name: gwdatafind
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-- name: gwosc
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-- name: gwpy
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-- name: h2
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-- name: h5netcdf
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-- name: h5py
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-- name: hdf5
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-- name: healpy
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-- name: hpack
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-- name: htgettoken
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-- name: html5lib
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-- name: igwn-segments
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-- name: importlib-metadata
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-- name: jedi
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-- name: jmespath
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-- name: jplephem
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-- name: jq
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-- name: jsonargparse
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-- name: jsonnet
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-- name: jsonschema
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-- name: jsonschema-specifications
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-- name: jupyter_client
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-- name: jupyter_core
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-- name: jupyterlab_widgets
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-- name: keyutils
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-- name: kiwisolver
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-- name: krb5
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-- name: lal
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-- name: lalapps
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-- name: lalburst
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-- name: lalframe
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-- name: lalsimulation-data
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-- name: law
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-- name: lcms2
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-- name: ld_impl_linux-64
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-- name: ldas-tools-al
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-- name: ldas-tools-framecpp
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-- name: lerc
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-- name: libabseil
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-- name: libaec
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-- name: libarrow
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-- name: libarrow-acero
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-- name: libarrow-compute
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-- name: libarrow-dataset
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-- name: libarrow-substrait
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-- name: libblas
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-- name: libboost
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-- name: libbrotlicommon
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-- name: libbrotlidec
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-- name: libbrotlienc
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-  dependencies:
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-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.11.0-5_h0358290_openblas.conda
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-- name: libcrc32c
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-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libstdcxx-ng: '>=9.4.0'
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-- name: libcurl
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-  manager: conda
-  platform: linux-64
-  dependencies:
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-    krb5: '>=1.21.3,<1.22.0a0'
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-    libssh2: '>=1.11.1,<2.0a0'
-    libzlib: '>=1.3.1,<2.0a0'
-    openssl: '>=3.5.4,<4.0a0'
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-  optional: false
-- name: libdeflate
-  version: '1.25'
-  manager: conda
-  platform: linux-64
-  dependencies:
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-- name: libedit
-  version: 3.1.20250104
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    __glibc: '>=2.17,<3.0.a0'
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-  optional: false
-- name: libev
-  version: '4.33'
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libev-4.33-hd590300_2.conda
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-- name: libevent
-  version: 2.1.12
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    openssl: '>=3.1.1,<4.0a0'
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-- name: libexpat
-  version: 2.7.3
-  manager: conda
-  platform: linux-64
-  dependencies:
-    __glibc: '>=2.17,<3.0.a0'
-    libgcc: '>=14'
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-- name: libffi
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-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libgcc: '>=14'
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-- name: libframel
-  version: 8.48.5
-  manager: conda
-  platform: linux-64
-  dependencies:
-    __glibc: '>=2.17,<3.0.a0'
-    libgcc: '>=14'
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-- name: libfreetype
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-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libfreetype-2.14.1-ha770c72_0.conda
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-- name: libfreetype6
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-  manager: conda
-  platform: linux-64
-  dependencies:
-    __glibc: '>=2.17,<3.0.a0'
-    libgcc: '>=14'
-    libpng: '>=1.6.50,<1.7.0a0'
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-- name: libgcc
-  version: 15.2.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    _openmp_mutex: '>=4.5'
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-- name: libgcc-ng
-  version: 15.2.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-15.2.0-h69a702a_17.conda
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-- name: libgfortran
-  version: 15.2.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-15.2.0-h69a702a_17.conda
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-- name: libgfortran5
-  version: 15.2.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-- name: libgomp
-  version: 15.2.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libgomp-15.2.0-he0feb66_17.conda
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-- name: libgoogle-cloud
-  version: 2.39.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    openssl: '>=3.5.5,<4.0a0'
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-  optional: false
-- name: libgoogle-cloud-storage
-  version: 2.39.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libabseil: ''
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-    libcurl: ''
-    libgcc: '>=14'
-    libgoogle-cloud: 2.39.0
-    libstdcxx: '>=14'
-    libzlib: '>=1.3.1,<2.0a0'
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-- name: libgrpc
-  version: 1.78.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    c-ares: '>=1.34.6,<2.0a0'
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-    libstdcxx: '>=14'
-    libzlib: '>=1.3.1,<2.0a0'
-    openssl: '>=3.5.5,<4.0a0'
-    re2: ''
-  url: https://conda.anaconda.org/conda-forge/linux-64/libgrpc-1.78.0-h1d1128b_1.conda
-  hash:
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-  category: main
-  optional: false
-- name: libiconv
-  version: '1.18'
-  manager: conda
-  platform: linux-64
-  dependencies:
-    __glibc: '>=2.17,<3.0.a0'
-    libgcc: '>=14'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libiconv-1.18-h3b78370_2.conda
-  hash:
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-- name: libjpeg-turbo
-  version: 3.1.2
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libgcc: '>=14'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libjpeg-turbo-3.1.2-hb03c661_0.conda
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-- name: liblal
-  version: 7.7.0
-  manager: conda
-  platform: linux-64
-  dependencies:
-    __glibc: '>=2.17,<3.0.a0'
-    fftw: '>=3.3.10,<4.0a0'
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-    hdf5: '>=1.14.6,<1.14.7.0a0'
-    libgcc: '>=14'
-    libzlib: '>=1.3.1,<2.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/liblal-7.7.0-fftw_h0eb8034_103.conda
-  hash:
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-  optional: false
-- name: liblalburst
-  version: 2.0.7
-  manager: conda
-  platform: linux-64
-  dependencies:
-    __glibc: '>=2.17,<3.0.a0'
-    gsl: '>=2.7,<2.8.0a0'
-    libgcc: '>=13'
-    liblal: '>=7.7.0,<8.0a0'
-    liblalmetaio: '>=4.0.6,<5.0a0'
-    liblalsimulation: '>=6.2.0,<7.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/liblalburst-2.0.7-h3773ae6_0.conda
-  hash:
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-- name: liblalframe
-  version: 3.0.7
-  manager: conda
-  platform: linux-64
-  dependencies:
-    __glibc: '>=2.17,<3.0.a0'
-    ldas-tools-framecpp: '>=2.9.3,<2.10.0a0'
-    libframel: '>=8.41.3,<9.0a0'
-    libgcc: '>=13'
-    liblal: '>=7.7.0,<8.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/liblalframe-3.0.7-h7c287a6_0.conda
-  hash:
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-  category: main
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-- name: liblalinference
-  version: 4.1.9
-  manager: conda
-  platform: linux-64
-  dependencies:
-    __glibc: '>=2.17,<3.0.a0'
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-    gsl: '>=2.7,<2.8.0a0'
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-  hash:
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-- name: liblalinspiral
-  version: 5.0.3
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/liblalinspiral-5.0.3-h3773ae6_0.conda
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-- name: liblalmetaio
-  version: 4.0.6
-  manager: conda
-  platform: linux-64
-  dependencies:
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-- name: liblalpulsar
-  version: 7.1.1
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    _openmp_mutex: '>=4.5'
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-    libgcc: '>=14'
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-- name: liblalsimulation
-  version: 6.2.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    liblal: '>=7.7.0,<8.0a0'
-    python: '>=3.12,<3.13.0a0'
-    python_abi: 3.12.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/liblalsimulation-6.2.0-py312h09b83b2_0.conda
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-  category: main
-  optional: false
-- name: liblapack
-  version: 3.11.0
-  manager: conda
-  platform: linux-64
-  dependencies:
-    libblas: 3.11.0
-  url: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.11.0-5_h47877c9_openblas.conda
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-- name: libre2-11
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-- name: libssh2
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-- name: libstdcxx
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-- name: libstdcxx-ng
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-- name: libthrift
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-- name: libtiff
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-- name: libutf8proc
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-- name: libuuid
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-- name: libwebp-base
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-  manager: conda
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-- name: libxcb
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-- name: libxcrypt
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-- name: libxml2
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-- name: libxml2-16
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-- name: libxslt
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-- name: libzlib
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-- name: ligo-gracedb
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-- name: ligo-segments
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-- name: ligotimegps
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-- name: locket
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-- name: lockfile
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-  platform: linux-64
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-- name: packaging
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-- name: pandas
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-- name: parso
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-- name: partd
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-- name: pexpect
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-- name: pillow
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-- name: pip
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-- name: platformdirs
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-- name: prometheus-cpp
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-- name: prometheus_client
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-- name: python_abi
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-- name: qhull
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-- name: re2
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-- name: readline
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-- name: referencing
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-- name: regex
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-- name: requests
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-- name: requests-ecp
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-- name: requests-gssapi
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-- name: rpds-py
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-- name: s2n
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-- name: s3fs
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-- name: safe-netrc
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-- name: scipy
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-- name: scitokens
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-- name: setuptools
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-- name: six
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-- name: snappy
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+    libzlib: '>=1.3.1,<2.0a0'
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-- name: sortedcontainers
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   manager: conda
   platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/sortedcontainers-2.4.0-pyhd8ed1ab_1.conda
+    python: ''
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-- name: soupsieve
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   manager: conda
   platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.8.3-pyhd8ed1ab_0.conda
+    python: ''
+    six: '>=1.5'
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   optional: false
-- name: stack_data
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   manager: conda
   platform: linux-64
   dependencies:
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-    python: '>=3.9'
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+    libstdcxx: '>=14'
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   optional: false
-- name: tenacity
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   manager: conda
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     libgcc: '>=14'
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-  url: https://conda.anaconda.org/conda-forge/noarch/webencodings-0.5.1-pyhd8ed1ab_3.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/uv-0.11.6-h0f56927_0.conda
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-    sha256: ea4e50c465d70236408cb0bfe0115609fd14db1adcd8bd30d8918e0291f8a75f
-  category: main
-  optional: false
 - name: zstd
   version: 1.5.7
   manager: conda
diff --git a/projects/data/environment.yaml b/projects/data/environment.yaml
index ca1a58b99..ed5746a16 100644
--- a/projects/data/environment.yaml
+++ b/projects/data/environment.yaml
@@ -2,26 +2,15 @@ name: aframe-data
 channels:
   - conda-forge
 dependencies:
-  # python/env dependencies
+  # python/env management
   - python>=3.10,<3.13
   - pip
   - uv
-  - jsonargparse
-  # general GW/auth deps
-  - gwpy>=3.0.8,<4
-  - gwosc
-  - lalsuite
-  - astropy
-  - bilby>1.4,<2
+  # C libraries not available on PyPI
   - libgcc
-  # auth libs
   - krb5
-  - ciecplib
-  - requests-gssapi
-  # frame file I/O dependencies
   - python-ldas-tools-framecpp<3.0.0
   - python-nds2-client
-  - python-ligo-lw
-  # luigi / law
+  # workflow orchestration
   - luigi
   - law
diff --git a/projects/data/pyproject.toml b/projects/data/pyproject.toml
index 66088d56d..977c77564 100644
--- a/projects/data/pyproject.toml
+++ b/projects/data/pyproject.toml
@@ -14,8 +14,22 @@ dependencies = [
     "priors",
     "ml4gw>=0.7.2",
     "aframe",
+    "gwpy>=3.0.8,<4",
+    "gwosc",
+    "lalsuite",
+    "jsonargparse>=4.18.0",
+    "ciecplib",
+    "requests-gssapi",
+    "python-ligo-lw>=1.8.3,<2",
 ]
 
+[project.scripts]
+fetch-data = "data.fetch.cli:main"
+generate-segments = "data.segments.cli:main"
+generate-training-waveforms = "data.waveforms.cli:training"
+generate-testing-waveforms = "data.waveforms.cli:testing"
+generate-validation-waveforms = "data.waveforms.cli:validation"
+
 [dependency-groups]
 dev = ["pytest>=8.2.1,<9"]
 
diff --git a/projects/data/uv.lock b/projects/data/uv.lock
index 4008a1c04..53f9b2126 100644
--- a/projects/data/uv.lock
+++ b/projects/data/uv.lock
@@ -526,6 +526,32 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/0e/f6/65ecc6878a89bb1c23a086ea335ad4bf21a588990c3f535a227b9eea9108/charset_normalizer-3.4.1-py3-none-any.whl", hash = "sha256:d98b1668f06378c6dbefec3b92299716b931cd4e6061f3c875a71ced1780ab85", size = 49767, upload-time = "2024-12-24T18:12:32.852Z" },
 ]
 
+[[package]]
+name = "ciecplib"
+version = "0.9.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "cryptography" },
+    { name = "requests" },
+    { name = "requests-ecp" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/7c/bf/5b8833c0ca6bb85ed28b143261f0fb47b99977ec992010e88a27dd187f3e/ciecplib-0.9.0.tar.gz", hash = "sha256:65164ea575a927626cd5f57184cc7a3b92e8f41052d69ead016515df08cd853d", size = 49520, upload-time = "2025-03-18T15:21:29.464Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/dd/b7/de76fc7090557d019386b11bed48df0b01f655f800f1f9043e438f29b44c/ciecplib-0.9.0-py3-none-any.whl", hash = "sha256:cd18771df60d97c41b3f931340260e0f145e832bfa496db6abf7199362eb636a", size = 65127, upload-time = "2025-03-18T15:21:28.053Z" },
+]
+
+[[package]]
+name = "click"
+version = "8.3.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "colorama", marker = "sys_platform == 'win32'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/57/75/31212c6bf2503fdf920d87fee5d7a86a2e3bcf444984126f13d8e4016804/click-8.3.2.tar.gz", hash = "sha256:14162b8b3b3550a7d479eafa77dfd3c38d9dc8951f6f69c78913a8f9a7540fd5", size = 302856, upload-time = "2026-04-03T19:14:45.118Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/e4/20/71885d8b97d4f3dde17b1fdb92dbd4908b00541c5a3379787137285f602e/click-8.3.2-py3-none-any.whl", hash = "sha256:1924d2c27c5653561cd2cae4548d1406039cb79b858b747cfea24924bbc1616d", size = 108379, upload-time = "2026-04-03T19:14:43.505Z" },
+]
+
 [[package]]
 name = "cloudpathlib"
 version = "0.18.1"
@@ -725,9 +751,16 @@ version = "0.0.1"
 source = { editable = "." }
 dependencies = [
     { name = "aframe" },
+    { name = "ciecplib" },
+    { name = "gwosc" },
+    { name = "gwpy" },
+    { name = "jsonargparse" },
+    { name = "lalsuite" },
     { name = "ledger" },
     { name = "ml4gw" },
     { name = "priors" },
+    { name = "python-ligo-lw" },
+    { name = "requests-gssapi" },
     { name = "utils" },
 ]
 
@@ -739,15 +772,46 @@ dev = [
 [package.metadata]
 requires-dist = [
     { name = "aframe", editable = "../../" },
+    { name = "ciecplib" },
+    { name = "gwosc" },
+    { name = "gwpy", specifier = ">=3.0.8,<4" },
+    { name = "jsonargparse", specifier = ">=4.18.0" },
+    { name = "lalsuite" },
     { name = "ledger", editable = "../../libs/ledger" },
     { name = "ml4gw", specifier = ">=0.7.2" },
     { name = "priors", editable = "../../libs/priors" },
+    { name = "python-ligo-lw", specifier = ">=1.8.3,<2" },
+    { name = "requests-gssapi" },
     { name = "utils", editable = "../../libs/utils" },
 ]
 
 [package.metadata.requires-dev]
 dev = [{ name = "pytest", specifier = ">=8.2.1,<9" }]
 
+[[package]]
+name = "dateparser"
+version = "1.4.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "python-dateutil" },
+    { name = "pytz" },
+    { name = "regex" },
+    { name = "tzlocal" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/46/2d/a0ccdb78788064fa0dc901b8524e50615c42be1d78b78d646d0b28d09180/dateparser-1.4.0.tar.gz", hash = "sha256:97a21840d5ecdf7630c584f673338a5afac5dfe84f647baf4d7e8df98f9354a4", size = 321512, upload-time = "2026-03-26T09:56:10.292Z" }
+wheels = [
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+]
+
+[[package]]
+name = "decorator"
+version = "5.2.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/43/fa/6d96a0978d19e17b68d634497769987b16c8f4cd0a7a05048bec693caa6b/decorator-5.2.1.tar.gz", hash = "sha256:65f266143752f734b0a7cc83c46f4618af75b8c5911b00ccb61d0ac9b6da0360", size = 56711, upload-time = "2025-02-24T04:41:34.073Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/4e/8c/f3147f5c4b73e7550fe5f9352eaa956ae838d5c51eb58e7a25b9f3e2643b/decorator-5.2.1-py3-none-any.whl", hash = "sha256:d316bb415a2d9e2d2b3abcc4084c6502fc09240e292cd76a76afc106a1c8e04a", size = 9190, upload-time = "2025-02-24T04:41:32.565Z" },
+]
+
 [[package]]
 name = "dill"
 version = "0.3.9"
@@ -757,6 +821,20 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/46/d1/e73b6ad76f0b1fb7f23c35c6d95dbc506a9c8804f43dda8cb5b0fa6331fd/dill-0.3.9-py3-none-any.whl", hash = "sha256:468dff3b89520b474c0397703366b7b95eebe6303f108adf9b19da1f702be87a", size = 119418, upload-time = "2024-09-29T00:03:19.344Z" },
 ]
 
+[[package]]
+name = "dqsegdb2"
+version = "1.3.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "click" },
+    { name = "igwn-auth-utils" },
+    { name = "igwn-segments" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/c4/37/7874b39abede48fe05c3b5a25092e419e521145e9705c97b711965e5f05d/dqsegdb2-1.3.0.tar.gz", hash = "sha256:4e291899cd395daf5913c48a835d213ef20833d78354871cb848988cc2cc8ae4", size = 33661, upload-time = "2025-01-08T16:36:58.072Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/78/67/c977e7307d432911fe28acf55dba01f84f3a0a4a2a968350195c0f52d23e/dqsegdb2-1.3.0-py3-none-any.whl", hash = "sha256:c93087da332b7d91519a370abed3cfc91b64a6bf393ec64d79c2747c837aeb66", size = 27957, upload-time = "2025-01-08T16:36:56.881Z" },
+]
+
 [[package]]
 name = "dynesty"
 version = "2.1.5"
@@ -1040,6 +1118,25 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/fd/7c/1e429c5fb26122055d10ff9a1d754790fb067d83c633ff69eddcf8e3614b/grpcio-1.71.0-cp312-cp312-win_amd64.whl", hash = "sha256:652350609332de6dac4ece254e5d7e1ff834e203d6afb769601f286886f6f3a8", size = 4272191, upload-time = "2025-03-10T19:25:13.12Z" },
 ]
 
+[[package]]
+name = "gssapi"
+version = "1.11.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "decorator" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/23/52/c1e90623c259a42ab0587078bb04f959867b970add46ff66750ead8fc7c5/gssapi-1.11.1.tar.gz", hash = "sha256:2049ee4b1d0c363163a1344b7282a363f9f4094e51d2c36de0cf01d4735e0ae2", size = 95233, upload-time = "2026-01-26T21:01:39.463Z" }
+wheels = [
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+    { url = "https://files.pythonhosted.org/packages/0b/25/e668f8bfebdaf132b29a26bbc4cc50c5a624a83c5271e83e69c62c2ac5d3/gssapi-1.11.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:25b3bcf75a0dd5638f02f939a9c40d1c907682ccca69ea1d05ea81ad58ea1022", size = 687299, upload-time = "2026-01-26T21:01:13.933Z" },
+    { url = "https://files.pythonhosted.org/packages/48/57/391fb8511e0e9bd2f86ed342ba65d1d1dbc0bd77d54f1f75ff4e4616df49/gssapi-1.11.1-cp310-cp310-win32.whl", hash = "sha256:e5d01ac02df8fe67c32cd1684c0954e935d50158ebb956fdffbf9aad7695a3b3", size = 749567, upload-time = "2026-01-26T21:01:15.73Z" },
+    { url = "https://files.pythonhosted.org/packages/d3/bf/37a3359ba24d9e422094b749e031116e6613fd038ec0d4c633d210ba314e/gssapi-1.11.1-cp310-cp310-win_amd64.whl", hash = "sha256:0e8b4d76801f2a8f8e6d85746cb9048d47341c6706800b357c61ba09e4741c03", size = 831697, upload-time = "2026-01-26T21:01:17.605Z" },
+    { url = "https://files.pythonhosted.org/packages/48/75/3cc18f2d084d19fbba38dc684588cf5f674c647e754f9cf1625bd78c39f8/gssapi-1.11.1-cp311-abi3-macosx_10_9_x86_64.whl", hash = "sha256:2298e5909a8f2d27c29352885a24e4026cfd3fa24fc38d4a0a3743fa5a3e7667", size = 611712, upload-time = "2026-01-26T21:01:19.626Z" },
+    { url = "https://files.pythonhosted.org/packages/81/f9/ac0f8c43c209d56c89655f80cd4ae43379f88370d01a7e11f264f081eef5/gssapi-1.11.1-cp311-abi3-macosx_11_0_arm64.whl", hash = "sha256:5b60b1f8d8d3e36c025bd3494105de1dfccee578e8de001f423cc094468e3022", size = 642782, upload-time = "2026-01-26T21:01:21.462Z" },
+    { url = "https://files.pythonhosted.org/packages/f8/97/f4ea9248bfdf5fcde2c5bf0bc0e573d212748724a32a5aa1002e11edb760/gssapi-1.11.1-cp311-abi3-win32.whl", hash = "sha256:9738fe0ba163c28ccf521de7520640bde4b135c1b6e87a5ac5a90435369e89c0", size = 699801, upload-time = "2026-01-26T21:01:23.226Z" },
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+]
+
 [[package]]
 name = "gwdatafind"
 version = "1.2.0"
@@ -1053,6 +1150,47 @@ wheels = [
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+[[package]]
+name = "gwosc"
+version = "0.8.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "requests" },
+    { name = "tenacity" },
+]
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+]
+
+[[package]]
+name = "gwpy"
+version = "3.0.14"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
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+    { name = "astropy", version = "7.2.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
+    { name = "dateparser" },
+    { name = "dqsegdb2" },
+    { name = "gwdatafind" },
+    { name = "gwosc" },
+    { name = "h5py" },
+    { name = "igwn-segments" },
+    { name = "ligotimegps", version = "2.0.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
+    { name = "ligotimegps", version = "2.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
+    { name = "matplotlib" },
+    { name = "numpy" },
+    { name = "packaging" },
+    { name = "python-dateutil" },
+    { name = "requests" },
+    { name = "scipy" },
+    { name = "tqdm" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/05/cd/bb165e47b18cd255c1ee1fcd59802544d8de57566b449cfdaf848b69108f/gwpy-3.0.14.tar.gz", hash = "sha256:bf25d19763c9128f515144349d3f70925a8334bbd22950c01d35bb954f323f52", size = 1543294, upload-time = "2026-01-16T13:02:28.432Z" }
+wheels = [
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+]
+
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 name = "h11"
 version = "0.14.0"
@@ -1371,6 +1509,31 @@ wheels = [
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 ]
 
+[[package]]
+name = "ligotimegps"
+version = "2.0.1"
+source = { registry = "https://pypi.org/simple" }
+resolution-markers = [
+    "python_full_version < '3.11'",
+]
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+wheels = [
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+]
+
+[[package]]
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+version = "2.1.0"
+source = { registry = "https://pypi.org/simple" }
+resolution-markers = [
+    "python_full_version >= '3.12'",
+    "python_full_version == '3.11.*'",
+]
+sdist = { url = "https://files.pythonhosted.org/packages/7e/9b/521be61daa7603603826d40fa6327a22e04df4f20e69d9ed42182370a7f8/ligotimegps-2.1.0.tar.gz", hash = "sha256:d948ffc4d58472b303478a983ec56d2e6a7f35e54cbb351ca6f1292e68398cb2", size = 28069, upload-time = "2025-10-07T10:55:28.124Z" }
+wheels = [
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 [[package]]
 name = "lockfile"
 version = "0.12.2"
@@ -1404,6 +1567,70 @@ dependencies = [
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 sdist = { url = "https://files.pythonhosted.org/packages/74/90/2930a8570da112ea8717d18269ebc93332ef34eaf1c33cfd0c1f6ae589c9/luigi-3.6.0.tar.gz", hash = "sha256:41b14850223c619d9006b30acda733e756b883fc7e60814205576647190c96e3", size = 1236109, upload-time = "2024-12-06T00:58:03.138Z" }
 
+[[package]]
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 name = "requests"
 version = "2.32.3"
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+[[package]]
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+version = "0.3.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
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+[[package]]
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+version = "1.4.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "gssapi" },
+    { name = "requests" },
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 name = "requests-oauthlib"
 version = "1.3.1"
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+[[package]]
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+source = { registry = "https://pypi.org/simple" }
+dependencies = [
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+]
+
 [[package]]
 name = "urllib3"
 version = "2.3.0"
diff --git a/projects/online/conda-lock.yml b/projects/online/conda-lock.yml
index 7aab9102c..f1f08bef3 100644
--- a/projects/online/conda-lock.yml
+++ b/projects/online/conda-lock.yml
@@ -13,7 +13,7 @@
 version: 1
 metadata:
   content_hash:
-    linux-64: be10e8f2987b99cd0a7c305581c09eaa68bc00dfc342ed33ddd0c705d479cfcd
+    linux-64: a8f2a0e87245150d5cee18c35065b3db5d75f0c34071ba3260f1e2e0dada840a
   channels:
   - url: conda-forge
     used_env_vars: []
@@ -23,84 +23,17 @@ metadata:
   - projects/online/environment.yaml
   - environment.yaml
 package:
-- name: _libgcc_mutex
-  version: '0.1'
-  manager: conda
-  platform: linux-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
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-    sha256: fe51de6107f9edc7aa4f786a70f4a883943bc9d39b3bb7307c04c41410990726
-  category: main
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 - name: _openmp_mutex
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   manager: conda
   platform: linux-64
-  dependencies:
-    _libgcc_mutex: '0.1'
-    libgomp: '>=7.5.0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2
-  hash:
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-    sha256: fbe2c5e56a653bebb982eda4876a9178aedfc2b545f25d0ce9c4c0b508253d22
-  category: main
-  optional: false
-- name: argcomplete
-  version: 3.6.3
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/argcomplete-3.6.3-pyhd8ed1ab_0.conda
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-    sha256: a2a1879c53b7a8438c898d20fa5f6274e4b1c30161f93b7818236e9df6adffde
-  category: main
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-- name: astropy-base
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-  manager: conda
-  platform: linux-64
   dependencies:
     __glibc: '>=2.17,<3.0.a0'
-    astropy-iers-data: '>=0.2025.10.27.0.39.10'
-    libgcc: '>=14'
-    numpy: '>=1.24'
-    packaging: '>=22.0.0'
-    pyerfa: '>=2.0.1.1'
-    python: '>=3.12,<3.13.0a0'
-    python_abi: 3.12.*
-    pyyaml: '>=6.0.0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/astropy-base-7.2.0-py312h4f23490_0.conda
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-- name: astropy-iers-data
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-  category: main
-  optional: false
-- name: attrs
-  version: 25.4.0
-  manager: conda
-  platform: linux-64
-  dependencies:
-    python: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/attrs-25.4.0-pyhcf101f3_1.conda
+    libgomp: '>=7.5.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-20_gnu.conda
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+    md5: a9f577daf3de00bca7c3c76c0ecbd1de
+    sha256: 1dd3fffd892081df9726d7eb7e0dea6198962ba775bd88842135a4ddb4deb3c9
   category: main
   optional: false
 - name: backports.zstd
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   category: main
   optional: false
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-    libgcc: '>=14'
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 - name: brotli-python
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     libgcc: '>=14'
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-    libgcc: '>=14'
-  url: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.6-hb03c661_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hda65f42_9.conda
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+    md5: d2ffd7602c02f2b316fd921d39876885
+    sha256: 0b75d45f0bba3e95dc693336fa51f40ea28c980131fec438afb7ce6118ed05f6
   category: main
   optional: false
 - name: ca-certificates
-  version: 2026.1.4
+  version: 2026.2.25
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   platform: linux-64
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-  url: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.1.4-hbd8a1cb_0.conda
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-  url: https://conda.anaconda.org/conda-forge/noarch/certifi-2026.1.4-pyhd8ed1ab_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.2.25-hbd8a1cb_0.conda
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   optional: false
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   category: main
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-- name: cfitsio
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-  url: https://conda.anaconda.org/conda-forge/linux-64/cfitsio-4.6.3-ha0b56bc_0.conda
-  hash:
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-- name: charset-normalizer
-  version: 3.4.4
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.4.4-pyhd8ed1ab_0.conda
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-- name: ciecplib
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-  manager: conda
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-    python: '>=3.9'
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-    requests-ecp: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/ciecplib-0.9.0-pyhd8ed1ab_0.conda
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-- name: click
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-  manager: conda
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-  dependencies:
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-    __unix: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/click-8.3.1-pyh8f84b5b_1.conda
-  hash:
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-    sha256: 38cfe1ee75b21a8361c8824f5544c3866f303af1762693a178266d7f198e8715
-  category: main
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-- name: contourpy
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-  manager: conda
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-    python: ''
-    __glibc: '>=2.17,<3.0.a0'
-    libstdcxx: '>=14'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.3.3-py312h0a2e395_4.conda
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-  category: main
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 - name: cryptography
-  version: 46.0.5
+  version: 46.0.7
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   dependencies:
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     cffi: '>=1.14'
     libgcc: '>=14'
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+    openssl: '>=3.5.6,<4.0a0'
     python: '>=3.12,<3.13.0a0'
     python_abi: 3.12.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/cryptography-46.0.5-py312ha4b625e_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/cryptography-46.0.7-py312ha4b625e_0.conda
   hash:
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-- name: cycler
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-  manager: conda
-  platform: linux-64
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-  url: https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhcf101f3_2.conda
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   category: main
   optional: false
 - name: cyrus-sasl
@@ -381,44 +148,16 @@ package:
   platform: linux-64
   dependencies:
     __glibc: '>=2.17,<3.0.a0'
-    krb5: '>=1.21.3,<1.22.0a0'
+    krb5: '>=1.22.2,<1.23.0a0'
     libgcc: '>=13'
     libntlm: '>=1.8,<2.0a0'
     libstdcxx: '>=13'
     libxcrypt: '>=4.4.36'
-    openssl: '>=3.5.0,<4.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/cyrus-sasl-2.1.28-hd9c7081_0.conda
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-  category: main
-  optional: false
-- name: dataclasses
-  version: '0.8'
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/dataclasses-0.8-pyhc8e2a94_3.tar.bz2
-  hash:
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-    sha256: 63a83e62e0939bc1ab32de4ec736f6403084198c4639638b354a352113809c92
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-- name: dateparser
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-  manager: conda
-  platform: linux-64
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-    python-dateutil: '>=2.7.0'
-    pytz: '>=2024.2'
-    regex: '>=2024.9.11'
-    tzlocal: '>=0.2'
-  url: https://conda.anaconda.org/conda-forge/noarch/dateparser-1.3.0-pyhd8ed1ab_0.conda
+    openssl: '>=3.5.5,<4.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/cyrus-sasl-2.1.28-hac629b4_1.conda
   hash:
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-    sha256: b63361ea4bf1f960ebd562f719e8970491b30bb2c9101c216240a03b01081c8d
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   category: main
   optional: false
 - name: decorator
@@ -433,172 +172,6 @@ package:
     sha256: c17c6b9937c08ad63cb20a26f403a3234088e57d4455600974a0ce865cb14017
   category: main
   optional: false
-- name: docstring_parser
-  version: 0.17.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/docstring_parser-0.17.0-pyhd8ed1ab_0.conda
-  hash:
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-- name: dqsegdb2
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-  manager: conda
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-  dependencies:
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-    igwn-auth-utils: '>=1.0.0'
-    igwn-segments: '>=2.0.0'
-    python: '>=3.9'
-  url: https://conda.anaconda.org/conda-forge/noarch/dqsegdb2-1.3.0-pyhd8ed1ab_0.conda
-  hash:
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-- name: fftw
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-  manager: conda
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-    libgcc: '>=14'
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-    libgfortran5: '>=14.3.0'
-    libstdcxx: '>=14'
-  url: https://conda.anaconda.org/conda-forge/linux-64/fftw-3.3.10-nompi_h3b011a4_111.conda
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-- name: fonttools
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-  manager: conda
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-    brotli: ''
-    libgcc: '>=14'
-    munkres: ''
-    python: '>=3.12,<3.13.0a0'
-    python_abi: 3.12.*
-    unicodedata2: '>=15.1.0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.61.1-py312h8a5da7c_0.conda
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-- name: freetype
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-  manager: conda
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-    libfreetype6: 2.14.1
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-- name: fsspec
-  version: 2026.2.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/fsspec-2026.2.0-pyhd8ed1ab_0.conda
-  hash:
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-  category: main
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-- name: future
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-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/future-1.0.0-pyhd8ed1ab_2.conda
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-  category: main
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-- name: gsl
-  version: '2.7'
-  manager: conda
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-    libcblas: '>=3.8.0,<4.0a0'
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-  hash:
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-  category: main
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-- name: gwdatafind
-  version: 2.1.1
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    igwn-auth-utils: '>=0.3.1'
-    igwn-segments: ''
-    python: '>=3.10'
-  url: https://conda.anaconda.org/conda-forge/noarch/gwdatafind-2.1.1-pyh707e725_0.conda
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-  category: main
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-- name: gwosc
-  version: 0.8.1
-  manager: conda
-  platform: linux-64
-  dependencies:
-    python: '>=3.9'
-    requests: '>=1.0.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/gwosc-0.8.1-pyhd8ed1ab_0.conda
-  hash:
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-  category: main
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-- name: gwpy
-  version: 3.0.12
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    dateparser: '>=1.1.4'
-    dqsegdb2: ''
-    gwdatafind: '>=1.1.0'
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-    h5py: '>=3.0.0'
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-    numpy: '>=1.19'
-    python: '>=3.9'
-    python-dateutil: ''
-    requests: ''
-    scipy: '>=1.5.0'
-    tqdm: '>=4.10.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/gwpy-3.0.12-pyhd8ed1ab_0.conda
-  hash:
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-  category: main
-  optional: false
 - name: h2
   version: 4.3.0
   manager: conda
@@ -613,68 +186,6 @@ package:
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   category: main
   optional: false
-- name: h5py
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-  manager: conda
-  platform: linux-64
-  dependencies:
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-    cached-property: ''
-    hdf5: '>=1.14.6,<1.14.7.0a0'
-    libgcc: '>=14'
-    numpy: '>=1.23,<3'
-    python: '>=3.12,<3.13.0a0'
-    python_abi: 3.12.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/h5py-3.15.1-nompi_py312ha4f8f14_101.conda
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-  category: main
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-- name: hdf5
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-  manager: conda
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-    libstdcxx: '>=14'
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-    openssl: '>=3.5.5,<4.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/hdf5-1.14.6-nompi_h19486de_106.conda
-  hash:
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-- name: healpy
-  version: 1.19.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    astropy-base: ''
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-    numpy: '>=1.23,<3'
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-    python_abi: 3.12.*
-    scipy: ''
-  url: https://conda.anaconda.org/conda-forge/linux-64/healpy-1.19.0-py312hb99e9eb_0.conda
-  hash:
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-  category: main
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 - name: hpack
   version: 4.1.0
   manager: conda
@@ -717,75 +228,29 @@ package:
   category: main
   optional: false
 - name: icu
-  version: '78.2'
+  version: '78.3'
   manager: conda
   platform: linux-64
   dependencies:
     __glibc: '>=2.17,<3.0.a0'
     libgcc: '>=14'
     libstdcxx: '>=14'
-  url: https://conda.anaconda.org/conda-forge/linux-64/icu-78.2-h33c6efd_0.conda
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-- name: idna
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-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/idna-3.11-pyhd8ed1ab_0.conda
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-- name: igwn-auth-utils
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-  dependencies:
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-    cryptography: '>=44.0.1'
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-    safe-netrc: '>=1.0.0'
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-  url: https://conda.anaconda.org/conda-forge/noarch/igwn-auth-utils-1.4.0-pyh707e725_0.conda
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-- name: igwn-segments
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-    libgcc: '>=14'
-    __glibc: '>=2.17,<3.0.a0'
-    python_abi: 3.12.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/igwn-segments-2.1.1-py312h53c857e_2.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/icu-78.3-h33c6efd_0.conda
   hash:
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+    md5: c80d8a3b84358cb967fa81e7075fbc8a
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   category: main
   optional: false
 - name: invoke
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+  version: 3.0.3
   manager: conda
   platform: linux-64
   dependencies:
     python: '>=3.10'
-  url: https://conda.anaconda.org/conda-forge/noarch/invoke-2.2.1-pyhd8ed1ab_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/invoke-3.0.3-pyhd8ed1ab_0.conda
   hash:
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   category: main
   optional: false
 - name: jq
@@ -802,72 +267,6 @@ package:
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   category: main
   optional: false
-- name: jsonargparse
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-    python: '>=3.8'
-    pyyaml: '>=3.13'
-    requests: '>=2.18.4'
-    validators: '>=0.14.2'
-  url: https://conda.anaconda.org/conda-forge/noarch/jsonargparse-4.40.2-pyhd8ed1ab_0.conda
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-  category: main
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-- name: jsonnet
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-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libgcc: '>=14'
-    libstdcxx: '>=14'
-    __glibc: '>=2.17,<3.0.a0'
-    python_abi: 3.12.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/jsonnet-0.21.0-py312h8285ef7_2.conda
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-  category: main
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-- name: jsonschema
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-  manager: conda
-  platform: linux-64
-  dependencies:
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-    jsonschema-specifications: '>=2023.3.6'
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-    referencing: '>=0.28.4'
-    rpds-py: '>=0.25.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.26.0-pyhcf101f3_0.conda
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-- name: jsonschema-specifications
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-  manager: conda
-  platform: linux-64
-  dependencies:
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-    referencing: '>=0.31.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/jsonschema-specifications-2025.9.1-pyhcf101f3_0.conda
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   category: main
   optional: false
-- name: kiwisolver
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-  manager: conda
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-    __glibc: '>=2.17,<3.0.a0'
-    libstdcxx: '>=14'
-    libgcc: '>=14'
-    python_abi: 3.12.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/kiwisolver-1.4.9-py312h0a2e395_2.conda
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-    libstdcxx-ng: '>=12'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/krb5-1.21.3-h659f571_0.conda
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-  category: main
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-- name: lcms2
-  version: '2.18'
+  version: 1.22.2
   manager: conda
   platform: linux-64
   dependencies:
     __glibc: '>=2.17,<3.0.a0'
+    keyutils: '>=1.6.3,<2.0a0'
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     libgcc: '>=14'
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-    libtiff: '>=4.7.1,<4.8.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/lcms2-2.18-h0c24ade_0.conda
+    libstdcxx: '>=14'
+    openssl: '>=3.5.5,<4.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/krb5-1.22.2-ha1258a1_0.conda
   hash:
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   category: main
   optional: false
 - name: ld_impl_linux-64
@@ -935,10 +304,10 @@ package:
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     zstd: '>=1.5.7,<1.6.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.45.1-default_hbd61a6d_101.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.45.1-default_hbd61a6d_102.conda
   hash:
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   category: main
   optional: false
 - name: ldas-tools-al
@@ -952,170 +321,69 @@ package:
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   url: https://conda.anaconda.org/conda-forge/linux-64/ldas-tools-al-2.7.0-hd827ec0_3.conda
   hash:
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-- name: ldas-tools-framecpp
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-- name: lerc
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-  manager: conda
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-    libgcc: '>=13'
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-    libgcc: '>=14'
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-- name: libboost
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-- name: libbrotlicommon
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-  manager: conda
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-  dependencies:
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-- name: libbrotlidec
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-  dependencies:
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   category: main
   optional: false
-- name: libbrotlienc
-  version: 1.2.0
+- name: ldas-tools-framecpp
+  version: 2.9.3
   manager: conda
   platform: linux-64
   dependencies:
     __glibc: '>=2.17,<3.0.a0'
-    libbrotlicommon: 1.2.0
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+    libboost: '>=1.88.0,<1.89.0a0'
     libgcc: '>=14'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libbrotlienc-1.2.0-hb03c661_1.conda
+    libstdcxx: '>=14'
+    libzlib: '>=1.3.1,<2.0a0'
+    openssl: '>=3.5.2,<4.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/ldas-tools-framecpp-2.9.3-he85ded8_4.conda
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   optional: false
-- name: libcblas
+- name: libblas
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   manager: conda
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   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.11.0-5_h0358290_openblas.conda
+    libopenblas: '>=0.3.32,<1.0a0'
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-- name: libcurl
-  version: 8.18.0
+- name: libboost
+  version: 1.88.0
   manager: conda
   platform: linux-64
   dependencies:
     __glibc: '>=2.17,<3.0.a0'
-    krb5: '>=1.21.3,<1.22.0a0'
+    bzip2: '>=1.0.8,<2.0a0'
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     libgcc: '>=14'
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-    openssl: '>=3.5.4,<4.0a0'
     zstd: '>=1.5.7,<1.6.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libcurl-8.18.0-h4e3cde8_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/libboost-1.88.0-hd24cca6_7.conda
   hash:
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   category: main
   optional: false
-- name: libdeflate
-  version: '1.25'
+- name: libcblas
+  version: 3.11.0
   manager: conda
   platform: linux-64
   dependencies:
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-    libgcc: '>=14'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.25-h17f619e_0.conda
+    libblas: 3.11.0
+  url: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.11.0-6_h0358290_openblas.conda
   hash:
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   optional: false
 - name: libedit
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   category: main
   optional: false
-- name: libev
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libev-4.33-hd590300_2.conda
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 - name: libexpat
-  version: 2.7.3
+  version: 2.7.5
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   dependencies:
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     libgcc: '>=14'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.7.3-hecca717_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.7.5-hecca717_0.conda
   hash:
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 - name: libffi
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-- name: libfreetype
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-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libfreetype-2.14.1-ha770c72_0.conda
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-- name: libfreetype6
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 - name: libgcc
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   manager: conda
@@ -1204,10 +433,10 @@ package:
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     __glibc: '>=2.17,<3.0.a0'
     _openmp_mutex: '>=4.5'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libgcc-15.2.0-he0feb66_17.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/libgcc-15.2.0-he0feb66_18.conda
   hash:
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 - name: libgcc-ng
@@ -1216,10 +445,10 @@ package:
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   dependencies:
     libgcc: 15.2.0
-  url: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-15.2.0-h69a702a_17.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-15.2.0-h69a702a_18.conda
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 - name: libgfortran
@@ -1228,10 +457,10 @@ package:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-15.2.0-h69a702a_17.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-15.2.0-h69a702a_18.conda
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   category: main
   optional: false
 - name: libgfortran5
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     libgcc: '>=15.2.0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-15.2.0-h68bc16d_17.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-15.2.0-h68bc16d_18.conda
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   category: main
   optional: false
 - name: libgomp
@@ -1253,53 +482,10 @@ package:
   platform: linux-64
   dependencies:
     __glibc: '>=2.17,<3.0.a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libgomp-15.2.0-he0feb66_17.conda
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-  manager: conda
-  platform: linux-64
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-    libgcc: '>=14'
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-    sha256: c467851a7312765447155e071752d7bf9bf44d610a5687e32706f480aad2833f
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-- name: libjpeg-turbo
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-  manager: conda
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-  dependencies:
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-  manager: conda
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-    libgcc: '>=14'
-    libzlib: '>=1.3.1,<2.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/liblal-7.7.0-fftw_h0eb8034_103.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/libgomp-15.2.0-he0feb66_18.conda
   hash:
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   category: main
   optional: false
 - name: liblapack
@@ -1308,41 +494,23 @@ package:
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   dependencies:
     libblas: 3.11.0
-  url: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.11.0-5_h47877c9_openblas.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.11.0-6_h47877c9_openblas.conda
   hash:
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-  manager: conda
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-    libgcc: '>=14'
-  url: https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.8.2-hb03c661_0.conda
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-  category: main
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-- name: libnghttp2
-  version: 1.67.0
+  version: 5.8.3
   manager: conda
   platform: linux-64
   dependencies:
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-    c-ares: '>=1.34.5,<2.0a0'
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-    openssl: '>=3.5.2,<4.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libnghttp2-1.67.0-had1ee68_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.8.3-hb03c661_0.conda
   hash:
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   category: main
   optional: false
 - name: libnsl
@@ -1372,7 +540,7 @@ package:
   category: main
   optional: false
 - name: libopenblas
-  version: 0.3.30
+  version: 0.3.32
   manager: conda
   platform: linux-64
   dependencies:
@@ -1380,66 +548,38 @@ package:
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     libgfortran: ''
     libgfortran5: '>=14.3.0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.30-pthreads_h94d23a6_4.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.32-pthreads_h94d23a6_0.conda
   hash:
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   category: main
   optional: false
-- name: libpng
-  version: 1.6.55
+- name: libsodium
+  version: 1.0.21
   manager: conda
   platform: linux-64
   dependencies:
     libgcc: '>=14'
     __glibc: '>=2.17,<3.0.a0'
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-  manager: conda
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libsodium-1.0.20-h4ab18f5_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/libsodium-1.0.21-h280c20c_3.conda
   hash:
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   category: main
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 - name: libsqlite
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   manager: conda
   platform: linux-64
   dependencies:
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-    icu: '>=78.2,<79.0a0'
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     libgcc: '>=14'
-    libzlib: '>=1.3.1,<2.0a0'
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-- name: libssh2
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-    libgcc: '>=13'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libssh2-1.11.1-hcf80075_0.conda
+    libzlib: '>=1.3.2,<2.0a0'
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   hash:
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   category: main
   optional: false
 - name: libstdcxx
@@ -1449,85 +589,23 @@ package:
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     libgcc: 15.2.0
-  url: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-15.2.0-h934c35e_17.conda
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-- name: libstdcxx-ng
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-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-15.2.0-hdf11a46_17.conda
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-- name: libtiff
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-  manager: conda
-  platform: linux-64
-  dependencies:
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-    lerc: '>=4.0.0,<5.0a0'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.7.1-h9d88235_1.conda
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   hash:
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   category: main
   optional: false
 - name: libuuid
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+  version: '2.42'
   manager: conda
   platform: linux-64
   dependencies:
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     libgcc: '>=14'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.41.3-h5347b49_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.42-h5347b49_0.conda
   hash:
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-- name: libwebp-base
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-  manager: conda
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-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libwebp-base-1.6.0-hd42ef1d_0.conda
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-- name: libxcb
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-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libgcc: '>=13'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.17.0-h8a09558_0.conda
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   category: main
   optional: false
 - name: libxcrypt
@@ -1542,185 +620,16 @@ package:
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   category: main
   optional: false
-- name: libxml2
-  version: 2.15.1
-  manager: conda
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-  dependencies:
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-    icu: '>=78.1,<79.0a0'
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-- name: libxml2-16
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-  manager: conda
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-  dependencies:
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-    libzlib: '>=1.3.1,<2.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libxml2-16-2.15.1-hca6bf5a_1.conda
-  hash:
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-  category: main
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-- name: libxslt
-  version: 1.1.43
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libgcc: '>=14'
-    libxml2: ''
-    libxml2-16: '>=2.14.6'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libxslt-1.1.43-h711ed8c_1.conda
-  hash:
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-  category: main
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 - name: libzlib
-  version: 1.3.1
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libgcc: '>=13'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.1-hb9d3cd8_2.conda
-  hash:
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-    sha256: d4bfe88d7cb447768e31650f06257995601f89076080e76df55e3112d4e47dc4
-  category: main
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-- name: ligo-gracedb
-  version: 2.14.3
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    future: '>=0.15.0'
-    igwn-auth-utils: '>=1.0.0'
-    python: '>=3.10'
-    requests: '>=2.6.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/ligo-gracedb-2.14.3-pyhd8ed1ab_0.conda
-  hash:
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-  category: main
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-- name: ligo-segments
-  version: 1.4.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libgcc: '>=13'
-    python: '>=3.12,<3.13.0a0'
-    python_abi: 3.12.*
-    six: ''
-  url: https://conda.anaconda.org/conda-forge/linux-64/ligo-segments-1.4.0-py312h66e93f0_6.conda
-  hash:
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-    sha256: b4d622c53fc839ecd5798bb0e0e60977973fe0aba6e744928f4470c2ab9ce559
-  category: main
-  optional: false
-- name: ligotimegps
-  version: 2.1.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/ligotimegps-2.1.0-pyhd8ed1ab_0.conda
-  hash:
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-    sha256: 15f32bee2a8e2dee908f06a2737ffa73bdcace49fae85b5fb33a02a8f178cb9c
-  category: main
-  optional: false
-- name: lscsoft-glue
-  version: 4.1.1
-  manager: conda
-  platform: linux-64
-  dependencies:
-    igwn-segments: ''
-    python: '>=3.9'
-  url: https://conda.anaconda.org/conda-forge/noarch/lscsoft-glue-4.1.1-pyhd8ed1ab_0.conda
-  hash:
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-    sha256: 7274143fbb34f473bca5f8a1c72c76c9845e00617b6cc9679903b6a574ee6a1b
-  category: main
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-- name: lxml
-  version: 6.0.2
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libgcc: '>=14'
-    libxml2: ''
-    libxml2-16: '>=2.14.6'
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-  url: https://conda.anaconda.org/conda-forge/noarch/munkres-1.1.4-pyhd8ed1ab_1.conda
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+    libgcc: '>=13'
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     ca-certificates: ''
     libgcc: '>=14'
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   category: main
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   category: main
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-- name: pyjwt
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@@ -1941,26 +768,14 @@ package:
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     cffi: '>=1.4.1'
     libgcc: '>=14'
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     python_abi: 3.12.*
     six: ''
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-  url: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.3.2-pyhcf101f3_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/pynacl-1.6.2-py312h587e1b2_1.conda
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 - name: python
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+  version: 3.12.13
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-    six: '>=1.5'
-  url: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhe01879c_2.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/python-3.12.13-hd63d673_0_cpython.conda
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 - name: python-gssapi
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-- name: python-lal
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-  manager: conda
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-  url: https://conda.anaconda.org/conda-forge/linux-64/python-lal-7.7.0-fftw_py312h26d0d96_103.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/python-gssapi-1.11.1-py312hf9980d4_1.conda
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 - name: python-ldas-tools-al
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   category: main
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-- name: pytz
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-- name: referencing
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-    rpds-py: '>=0.7.0'
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-  optional: false
-- name: requests
-  version: 2.32.5
-  manager: conda
-  platform: linux-64
-  dependencies:
-    python: ''
-    certifi: '>=2017.4.17'
-    charset-normalizer: '>=2,<4'
-    idna: '>=2.5,<4'
-    urllib3: '>=1.21.1,<3'
-  url: https://conda.anaconda.org/conda-forge/noarch/requests-2.32.5-pyhcf101f3_1.conda
-  hash:
-    md5: c65df89a0b2e321045a9e01d1337b182
-    sha256: 7813c38b79ae549504b2c57b3f33394cea4f2ad083f0994d2045c2e24cb538c5
-  category: main
-  optional: false
-- name: requests-ecp
-  version: 0.3.2
-  manager: conda
-  platform: linux-64
-  dependencies:
-    lxml: ''
-    python: '>=3.9'
-    requests: ''
-    requests-gssapi: '>=1.2.2'
-  url: https://conda.anaconda.org/conda-forge/noarch/requests-ecp-0.3.2-pyhd8ed1ab_1.conda
-  hash:
-    md5: e0d7fc28a9c8d876d0a3a3736fc1d59a
-    sha256: a3faeb4be3d9352615a407461fdec096e9b41db26e2deb038b7cb0759a25aede
-  category: main
-  optional: false
-- name: requests-gssapi
-  version: 1.4.0
-  manager: conda
-  platform: linux-64
-  dependencies:
-    python: '>=3.10'
-    python-gssapi: ''
-    requests: '>=1.1.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/requests-gssapi-1.4.0-pyhd8ed1ab_0.conda
-  hash:
-    md5: aa46670fe0af4f1881f9a1a201f969a8
-    sha256: 2adb63d27863523535090f39db3144d49a1baac2e8561af739810ec09e4f2c8c
-  category: main
-  optional: false
-- name: rpds-py
-  version: 0.30.0
-  manager: conda
-  platform: linux-64
-  dependencies:
-    python: ''
-    __glibc: '>=2.17,<3.0.a0'
-    libgcc: '>=14'
-    python_abi: 3.12.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/rpds-py-0.30.0-py312h868fb18_0.conda
-  hash:
-    md5: 3ffc5a3572db8751c2f15bacf6a0e937
-    sha256: 62f46e85caaba30b459da7dfcf3e5488ca24fd11675c33ce4367163ab191a42c
-  category: main
-  optional: false
-- name: safe-netrc
-  version: 1.0.1
-  manager: conda
-  platform: linux-64
-  dependencies:
-    python: '>=3.10'
-  url: https://conda.anaconda.org/conda-forge/noarch/safe-netrc-1.0.1-pyhd8ed1ab_1.conda
-  hash:
-    md5: fe7b13f5c99a4d31ca9f3f8de2c781d4
-    sha256: 644be784d3e33521464c7bb5d8830e2537f7a1feb1d618d36f05b7548e0852b5
-  category: main
-  optional: false
-- name: scipy
-  version: 1.17.0
-  manager: conda
-  platform: linux-64
-  dependencies:
-    __glibc: '>=2.17,<3.0.a0'
-    libblas: '>=3.9.0,<4.0a0'
-    libcblas: '>=3.9.0,<4.0a0'
-    libgcc: '>=14'
-    libgfortran: ''
-    libgfortran5: '>=14.3.0'
-    liblapack: '>=3.9.0,<4.0a0'
-    libstdcxx: '>=14'
-    numpy: '>=1.25.2'
-    python: '>=3.12,<3.13.0a0'
-    python_abi: 3.12.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.17.0-py312h54fa4ab_1.conda
-  hash:
-    md5: 828eb07c4c87c38ed8c6560c25893280
-    sha256: 5b296faf6f5ff90d9ea3f6b16ff38fe2b8fe81c7c45b5e3a78b48887cca881d1
-  category: main
-  optional: false
-- name: scitokens
-  version: 1.8.1
-  manager: conda
-  platform: linux-64
-  dependencies:
-    cryptography: ''
-    pyjwt: '>=1.6.1'
-    python: '>=3.5'
-    requests: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/scitokens-1.8.1-pyhd8ed1ab_0.conda
-  hash:
-    md5: f81000dea6af15d76c08db2898185e82
-    sha256: c7b4c346542114724d21232e5d70eda6550247cc92d002534b316f916bed30c8
-  category: main
-  optional: false
 - name: setuptools
-  version: 82.0.0
+  version: 82.0.1
   manager: conda
   platform: linux-64
   dependencies:
     python: '>=3.10'
-  url: https://conda.anaconda.org/conda-forge/noarch/setuptools-82.0.0-pyh332efcf_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/setuptools-82.0.1-pyh332efcf_0.conda
   hash:
-    md5: 1d00d46c634177fc8ede8b99d6089239
-    sha256: fd7201e38e38bf7f25818d624ca8da97b8998957ca9ae3fb7fdc9c17e6b25fcd
+    md5: 8e194e7b992f99a5015edbd4ebd38efd
+    sha256: 82088a6e4daa33329a30bc26dc19a98c7c1d3f05c0f73ce9845d4eab4924e9e1
   category: main
   optional: false
 - name: six
@@ -2377,31 +955,6 @@ package:
     sha256: cafeec44494f842ffeca27e9c8b0c27ed714f93ac77ddadc6aaf726b5554ebac
   category: main
   optional: false
-- name: tqdm
-  version: 4.67.3
-  manager: conda
-  platform: linux-64
-  dependencies:
-    python: ''
-    __unix: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/tqdm-4.67.3-pyh8f84b5b_0.conda
-  hash:
-    md5: e5ce43272193b38c2e9037446c1d9206
-    sha256: 9ef8e47cf00e4d6dcc114eb32a1504cc18206300572ef14d76634ba29dfe1eb6
-  category: main
-  optional: false
-- name: typing_extensions
-  version: 4.15.0
-  manager: conda
-  platform: linux-64
-  dependencies:
-    python: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.15.0-pyhcf101f3_0.conda
-  hash:
-    md5: 0caa1af407ecff61170c9437a808404d
-    sha256: 032271135bca55aeb156cee361c81350c6f3fb203f57d024d7e5a1fc9ef18731
-  category: main
-  optional: false
 - name: tzdata
   version: 2025c
   manager: conda
@@ -2413,34 +966,6 @@ package:
     sha256: 1d30098909076af33a35017eed6f2953af1c769e273a0626a04722ac4acaba3c
   category: main
   optional: false
-- name: tzlocal
-  version: 5.3.1
-  manager: conda
-  platform: linux-64
-  dependencies:
-    python: ''
-    __unix: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/tzlocal-5.3.1-pyh8f84b5b_0.conda
-  hash:
-    md5: 369f3170d6f727d3102d83274e403b66
-    sha256: 6447388bd870ab0a2b38af5aa64185cd71028a2a702f0935e636a01d81fba7fc
-  category: main
-  optional: false
-- name: unicodedata2
-  version: 17.0.0
-  manager: conda
-  platform: linux-64
-  dependencies:
-    __glibc: '>=2.17,<3.0.a0'
-    libgcc: '>=14'
-    python: '>=3.12,<3.13.0a0'
-    python_abi: 3.12.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/unicodedata2-17.0.0-py312h4c3975b_1.conda
-  hash:
-    md5: a0b8efbe73c90f810a171a6c746be087
-    sha256: 3c812c634e78cec74e224cc6adf33aed533d9fe1ee1eff7f692e1f338efb8c5b
-  category: main
-  optional: false
 - name: urllib3
   version: 2.6.3
   manager: conda
@@ -2458,29 +983,17 @@ package:
   category: main
   optional: false
 - name: uv
-  version: 0.10.2
+  version: 0.11.6
   manager: conda
   platform: linux-64
   dependencies:
+    libstdcxx: '>=14'
     libgcc: '>=14'
     __glibc: '>=2.17,<3.0.a0'
-    libstdcxx: '>=14'
-  url: https://conda.anaconda.org/conda-forge/linux-64/uv-0.10.2-h6dd6661_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/uv-0.11.6-h0f56927_0.conda
   hash:
-    md5: d470f4577e8f5436fff24066f06609c8
-    sha256: 898e8d9ed0e02da95e46a94f4f32a31f19093aa211deadef3a710fb633b12d6d
-  category: main
-  optional: false
-- name: validators
-  version: 0.35.0
-  manager: conda
-  platform: linux-64
-  dependencies:
-    python: '>=3.9'
-  url: https://conda.anaconda.org/conda-forge/noarch/validators-0.35.0-pyhd8ed1ab_0.conda
-  hash:
-    md5: 3449ef730c7d483adde81993994092b9
-    sha256: a9cd585b86f41da98e4d67d75623916456d9df9dbd0ee27c4a722d89eb71cf13
+    md5: f78bab5fcaf462a4309c88c18def5574
+    sha256: b4e119c6776d5f752f7f10a1e4810dcbcfe0a6b32cc23689b0009f93af76bf6c
   category: main
   optional: false
 - name: wheel
@@ -2496,59 +1009,6 @@ package:
     sha256: d6cf2f0ebd5e09120c28ecba450556ce553752652d91795442f0e70f837126ae
   category: main
   optional: false
-- name: xorg-libxau
-  version: 1.0.12
-  manager: conda
-  platform: linux-64
-  dependencies:
-    __glibc: '>=2.17,<3.0.a0'
-    libgcc: '>=14'
-  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxau-1.0.12-hb03c661_1.conda
-  hash:
-    md5: b2895afaf55bf96a8c8282a2e47a5de0
-    sha256: 6bc6ab7a90a5d8ac94c7e300cc10beb0500eeba4b99822768ca2f2ef356f731b
-  category: main
-  optional: false
-- name: xorg-libxdmcp
-  version: 1.1.5
-  manager: conda
-  platform: linux-64
-  dependencies:
-    __glibc: '>=2.17,<3.0.a0'
-    libgcc: '>=14'
-  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxdmcp-1.1.5-hb03c661_1.conda
-  hash:
-    md5: 1dafce8548e38671bea82e3f5c6ce22f
-    sha256: 25d255fb2eef929d21ff660a0c687d38a6d2ccfbcbf0cc6aa738b12af6e9d142
-  category: main
-  optional: false
-- name: yaml
-  version: 0.2.5
-  manager: conda
-  platform: linux-64
-  dependencies:
-    libgcc: '>=14'
-    __glibc: '>=2.17,<3.0.a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/yaml-0.2.5-h280c20c_3.conda
-  hash:
-    md5: a77f85f77be52ff59391544bfe73390a
-    sha256: 6d9ea2f731e284e9316d95fa61869fe7bbba33df7929f82693c121022810f4ad
-  category: main
-  optional: false
-- name: zlib-ng
-  version: 2.3.3
-  manager: conda
-  platform: linux-64
-  dependencies:
-    __glibc: '>=2.17,<3.0.a0'
-    libgcc: '>=14'
-    libstdcxx: '>=14'
-  url: https://conda.anaconda.org/conda-forge/linux-64/zlib-ng-2.3.3-hceb46e0_1.conda
-  hash:
-    md5: 2aadb0d17215603a82a2a6b0afd9a4cb
-    sha256: ea4e50c465d70236408cb0bfe0115609fd14db1adcd8bd30d8918e0291f8a75f
-  category: main
-  optional: false
 - name: zstd
   version: 1.5.7
   manager: conda
diff --git a/projects/online/environment.yaml b/projects/online/environment.yaml
index ae33a75c2..39871b879 100644
--- a/projects/online/environment.yaml
+++ b/projects/online/environment.yaml
@@ -2,24 +2,14 @@ name: aframe-online-deployment
 channels:
   - conda-forge
 dependencies:
-  # python/env dependencies
+  # python/env management
   - python>=3.11,<3.13
   - pip
   - uv
-  - jsonargparse
-  - scipy
-  - h5py
-  # general GW
-  - healpy
-  - gwpy=3.0.12
+  # C libraries not available on PyPI
   - libgcc
-  - ligo-gracedb
-  # auth libs
   - krb5
-  - ciecplib
-  - requests-gssapi
-  - htgettoken
-  # frame file I/O dependencies
   - python-ldas-tools-framecpp<3.0.0
   - python-nds2-client
-  - python-ligo-lw
+  # token management
+  - htgettoken
diff --git a/projects/online/pyproject.toml b/projects/online/pyproject.toml
index 0da8d616f..184767756 100644
--- a/projects/online/pyproject.toml
+++ b/projects/online/pyproject.toml
@@ -24,6 +24,11 @@ dependencies = [
     "ligo-skymap>=2.4.0,<3",
     "ligo-gracedb[kafka]>=2.15.4",
     "tables>=3.9",
+    "gwpy>=3.0.12",
+    "jsonargparse>=4.18.0",
+    "ciecplib",
+    "requests-gssapi",
+    "python-ligo-lw>=1.8.3,<2",
 ]
 
 [project.scripts]
diff --git a/projects/online/uv.lock b/projects/online/uv.lock
index 6687b56a4..054b28880 100644
--- a/projects/online/uv.lock
+++ b/projects/online/uv.lock
@@ -641,6 +641,20 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/20/94/c5790835a017658cbfabd07f3bfb549140c3ac458cfc196323996b10095a/charset_normalizer-3.4.2-py3-none-any.whl", hash = "sha256:7f56930ab0abd1c45cd15be65cc741c28b1c9a34876ce8c17a2fa107810c0af0", size = 52626, upload-time = "2025-05-02T08:34:40.053Z" },
 ]
 
+[[package]]
+name = "ciecplib"
+version = "0.9.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "cryptography" },
+    { name = "requests" },
+    { name = "requests-ecp" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/7c/bf/5b8833c0ca6bb85ed28b143261f0fb47b99977ec992010e88a27dd187f3e/ciecplib-0.9.0.tar.gz", hash = "sha256:65164ea575a927626cd5f57184cc7a3b92e8f41052d69ead016515df08cd853d", size = 49520, upload-time = "2025-03-18T15:21:29.464Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/dd/b7/de76fc7090557d019386b11bed48df0b01f655f800f1f9043e438f29b44c/ciecplib-0.9.0-py3-none-any.whl", hash = "sha256:cd18771df60d97c41b3f931340260e0f145e832bfa496db6abf7199362eb636a", size = 65127, upload-time = "2025-03-18T15:21:28.053Z" },
+]
+
 [[package]]
 name = "click"
 version = "8.2.1"
@@ -2208,6 +2222,54 @@ dependencies = [
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/74/90/2930a8570da112ea8717d18269ebc93332ef34eaf1c33cfd0c1f6ae589c9/luigi-3.6.0.tar.gz", hash = "sha256:41b14850223c619d9006b30acda733e756b883fc7e60814205576647190c96e3", size = 1236109, upload-time = "2024-12-06T00:58:03.138Z" }
 
+[[package]]
+name = "lxml"
+version = "6.0.4"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/ce/08/1217ca4043f55c3c92993b283a7dbfa456a2058d8b57bbb416cc96b6efff/lxml-6.0.4.tar.gz", hash = "sha256:4137516be2a90775f99d8ef80ec0283f8d78b5d8bd4630ff20163b72e7e9abf2", size = 4237780, upload-time = "2026-04-12T16:28:24.182Z" }
+wheels = [
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+    { url = "https://files.pythonhosted.org/packages/93/19/9d61560a53ac1b26aec1a83ae51fadbe0cc0b6534e2c753ad5af854f231b/lxml-6.0.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b8c7976c384dcab4bca42f371449fb711e20f1bfce99c135c9b25614aed80e55", size = 4594697, upload-time = "2026-04-12T16:23:36.403Z" },
+    { url = "https://files.pythonhosted.org/packages/93/1a/0db40884f959c94ede238507ea0967dd47527ab11d130c5a571088637e78/lxml-6.0.4-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:579e20c120c3d231e53f0376058e4e1926b71ca4f7b77a7a75f82aea7a9b501e", size = 4922365, upload-time = "2026-04-12T16:23:38.709Z" },
+    { url = "https://files.pythonhosted.org/packages/04/db/4136fab3201087bd5a4db433b9a36e50808d8af759045e7d7af757b46178/lxml-6.0.4-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:7f32a27be5fb286febd16c0d13d4a3aee474d34417bd172e64d76c6a28e2dc14", size = 5066748, upload-time = "2026-04-12T16:23:41.048Z" },
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+]
+
 [[package]]
 name = "mako"
 version = "1.3.10"
@@ -2786,6 +2848,9 @@ dependencies = [
     { name = "amplfi" },
     { name = "architectures" },
     { name = "arrakis" },
+    { name = "ciecplib" },
+    { name = "gwpy" },
+    { name = "jsonargparse" },
     { name = "ledger" },
     { name = "ligo-gracedb", extra = ["kafka"] },
     { name = "ligo-skymap" },
@@ -2794,6 +2859,8 @@ dependencies = [
     { name = "numpy" },
     { name = "omegaconf" },
     { name = "p-astro" },
+    { name = "python-ligo-lw" },
+    { name = "requests-gssapi" },
     { name = "scipy" },
     { name = "tables" },
     { name = "utils" },
@@ -2810,6 +2877,9 @@ requires-dist = [
     { name = "amplfi", specifier = ">=0.5.5" },
     { name = "architectures", editable = "../../libs/architectures" },
     { name = "arrakis", specifier = ">=0.2.0,<0.3" },
+    { name = "ciecplib" },
+    { name = "gwpy", specifier = ">=3.0.12" },
+    { name = "jsonargparse", specifier = ">=4.18.0" },
     { name = "ledger", editable = "../../libs/ledger" },
     { name = "ligo-gracedb", extras = ["kafka"], specifier = ">=2.15.4" },
     { name = "ligo-skymap", specifier = ">=2.4.0,<3" },
@@ -2818,6 +2888,8 @@ requires-dist = [
     { name = "numpy", specifier = "<2.0.0" },
     { name = "omegaconf", specifier = ">=2.3.0,<3" },
     { name = "p-astro", editable = "../../libs/p_astro" },
+    { name = "python-ligo-lw", specifier = ">=1.8.3,<2" },
+    { name = "requests-gssapi" },
     { name = "scipy", specifier = "<1.15" },
     { name = "tables", specifier = ">=3.9" },
     { name = "utils", editable = "../../libs/utils" },
@@ -3832,6 +3904,32 @@ wheels = [
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 ]
 
+[[package]]
+name = "requests-ecp"
+version = "0.3.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "lxml" },
+    { name = "requests" },
+]
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+
+[[package]]
+name = "requests-gssapi"
+version = "1.4.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "gssapi" },
+    { name = "requests" },
+]
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+]
+
 [[package]]
 name = "rfc3339-validator"
 version = "0.1.4"

From 0b16349db5d16186ad863ce2cc699c967036d890 Mon Sep 17 00:00:00 2001
From: William Benoit <benoi090@umn.edu>
Date: Sun, 12 Apr 2026 13:53:26 -0500
Subject: [PATCH 12/27] Improve organization of data CLIs and add scripts to
 pyproject.toml

---
 projects/data/data/cli.py                  | 23 +++++-----
 projects/data/data/fetch/cli.py            | 30 +++++++++++++
 projects/data/data/fetch/main.py           | 23 ++++------
 projects/data/data/segments/cli.py         | 31 ++++++++++++++
 projects/data/data/segments/main.py        | 18 +++-----
 projects/data/data/waveforms/cli.py        | 50 ++++++++++++++++++++++
 projects/data/data/waveforms/testing.py    |  9 +---
 projects/data/data/waveforms/training.py   | 15 ++-----
 projects/data/data/waveforms/validation.py | 14 ++----
 projects/plots/plots/legacy/cli.py         |  4 +-
 10 files changed, 151 insertions(+), 66 deletions(-)
 create mode 100644 projects/data/data/fetch/cli.py
 create mode 100644 projects/data/data/segments/cli.py
 create mode 100644 projects/data/data/waveforms/cli.py

diff --git a/projects/data/data/cli.py b/projects/data/data/cli.py
index 184e83158..78cbde634 100644
--- a/projects/data/data/cli.py
+++ b/projects/data/data/cli.py
@@ -1,15 +1,17 @@
 from jsonargparse import ActionConfigFile, ArgumentParser
 
+from data.fetch.cli import parser as fetch_parser
 from data.fetch.main import main as fetch
-from data.fetch.main import parser as fetch_parser
+from data.segments.cli import parser as query_parser
 from data.segments.main import main as query_segments
-from data.segments.main import parser as query_parser
+from data.waveforms.cli import (
+    testing_parser,
+    training_parser,
+    validation_parser,
+)
 from data.waveforms.testing import main as testing_waveforms
-from data.waveforms.testing import parser as testing_parser
 from data.waveforms.training import main as training_waveforms
-from data.waveforms.training import parser as training_parser
 from data.waveforms.validation import main as validation_waveforms
-from data.waveforms.validation import parser as validation_parser
 from utils.logging import configure_logging
 
 
@@ -17,7 +19,6 @@ def main(args=None):
     parser = ArgumentParser()
     parser.add_argument("--config", action=ActionConfigFile)
     parser.add_argument("--log_file", type=str, default=None)
-    # parser.add_argument("--verbose", type=bool, default=False)
 
     subcommands = parser.add_subcommands()
     subcommands.add_subcommand("query", query_parser)
@@ -30,19 +31,19 @@ def main(args=None):
     configure_logging(args.log_file)
 
     if args.subcommand == "query":
-        query_segments(args)
+        query_segments(args.query)
 
     elif args.subcommand == "fetch":
-        fetch(args)
+        fetch(args.fetch)
 
     elif args.subcommand == "training_waveforms":
-        training_waveforms(args)
+        training_waveforms(args.training_waveforms)
 
     elif args.subcommand == "testing_waveforms":
-        testing_waveforms(args)
+        testing_waveforms(args.testing_waveforms)
 
     elif args.subcommand == "validation_waveforms":
-        validation_waveforms(args)
+        validation_waveforms(args.validation_waveforms)
 
 
 if __name__ == "__main__":
diff --git a/projects/data/data/fetch/cli.py b/projects/data/data/fetch/cli.py
new file mode 100644
index 000000000..7c2808a47
--- /dev/null
+++ b/projects/data/data/fetch/cli.py
@@ -0,0 +1,30 @@
+import logging
+import os
+
+from jsonargparse import ActionConfigFile, ArgumentParser
+
+from data.fetch.fetch import fetch
+
+parser = ArgumentParser()
+parser.add_argument("--config", action=ActionConfigFile)
+parser.add_function_arguments(fetch)
+parser.add_argument("--output_directory", "-o", type=str)
+parser.add_argument("--prefix", "-p", type=str, default="background")
+
+
+def main(args=None):
+    cfg = parser.parse_args(args)
+    args_dict = {k: v for k, v in cfg.as_dict().items() if k != "config"}
+
+    output_directory = args_dict.pop("output_directory")
+    prefix = args_dict.pop("prefix")
+    X = fetch(**args_dict)
+
+    duration = args_dict["end"] - args_dict["start"]
+    fname = "{}-{}-{}.hdf5".format(
+        prefix, int(args_dict["start"]), int(duration)
+    )
+    fname = os.path.join(output_directory, fname)
+
+    logging.info(f"Writing downloaded data to {fname}")
+    X.write(fname, format="hdf5")
diff --git a/projects/data/data/fetch/main.py b/projects/data/data/fetch/main.py
index ca9cd3ed0..38d5b8310 100644
--- a/projects/data/data/fetch/main.py
+++ b/projects/data/data/fetch/main.py
@@ -1,24 +1,19 @@
 import logging
 import os
 
-from jsonargparse import ArgumentParser
-
 from data.fetch.fetch import fetch
 
-parser = ArgumentParser()
-parser.add_function_arguments(fetch)
-parser.add_argument("--output_directory", "-o", type=str)
-parser.add_argument("--prefix", "-p", type=str, default="background")
-
 
-def main(args=None):
-    args = args.fetch.as_dict()
-    output_directory = args.pop("output_directory")
-    prefix = args.pop("prefix")
-    X = fetch(**args)
+def main(args):
+    args_dict = {k: v for k, v in args.as_dict().items() if k != "config"}
+    output_directory = args_dict.pop("output_directory")
+    prefix = args_dict.pop("prefix")
+    X = fetch(**args_dict)
 
-    duration = args["end"] - args["start"]
-    fname = "{}-{}-{}.hdf5".format(prefix, int(args["start"]), int(duration))
+    duration = args_dict["end"] - args_dict["start"]
+    fname = "{}-{}-{}.hdf5".format(
+        prefix, int(args_dict["start"]), int(duration)
+    )
     fname = os.path.join(output_directory, fname)
 
     logging.info(f"Writing downloaded data to {fname}")
diff --git a/projects/data/data/segments/cli.py b/projects/data/data/segments/cli.py
new file mode 100644
index 000000000..a9a345dee
--- /dev/null
+++ b/projects/data/data/segments/cli.py
@@ -0,0 +1,31 @@
+import logging
+
+from jsonargparse import ActionConfigFile, ArgumentParser
+
+from data.segments.segments import DataQualityDict
+
+parser = ArgumentParser()
+parser.add_argument("--config", action=ActionConfigFile)
+parser.add_method_arguments(DataQualityDict, "query_segments")
+parser.add_argument("--output_file", "-o", type=str)
+
+
+def main(args=None):
+    cfg = parser.parse_args(args)
+    args_dict = {k: v for k, v in cfg.as_dict().items() if k != "config"}
+
+    output_file = args_dict.pop("output_file")
+
+    logging.info(
+        "Querying active segments in interval ({start}, {end})".format(
+            **args_dict
+        )
+    )
+    segments = DataQualityDict.query_segments(**args_dict)
+
+    logging.info(
+        "Discovered {} valid segments, writing to {}".format(
+            len(segments), output_file
+        )
+    )
+    segments.write(output_file)
diff --git a/projects/data/data/segments/main.py b/projects/data/data/segments/main.py
index b4fd34db4..ae2482b79 100644
--- a/projects/data/data/segments/main.py
+++ b/projects/data/data/segments/main.py
@@ -1,22 +1,18 @@
 import logging
 
-from jsonargparse import ArgumentParser
-
 from data.segments.segments import DataQualityDict
 
-parser = ArgumentParser()
-parser.add_method_arguments(DataQualityDict, "query_segments")
-parser.add_argument("--output_file", "-o", type=str)
-
 
-def main(args=None):
-    args = args.query.as_dict()
-    output_file = args.pop("output_file")
+def main(args):
+    args_dict = {k: v for k, v in args.as_dict().items() if k != "config"}
+    output_file = args_dict.pop("output_file")
 
     logging.info(
-        "Querying active segments in interval ({start}, {end})".format(**args)
+        "Querying active segments in interval ({start}, {end})".format(
+            **args_dict
+        )
     )
-    segments = DataQualityDict.query_segments(**args)
+    segments = DataQualityDict.query_segments(**args_dict)
 
     logging.info(
         "Discovered {} valid segments, writing to {}".format(
diff --git a/projects/data/data/waveforms/cli.py b/projects/data/data/waveforms/cli.py
new file mode 100644
index 000000000..6090649ef
--- /dev/null
+++ b/projects/data/data/waveforms/cli.py
@@ -0,0 +1,50 @@
+from jsonargparse import ActionConfigFile, ArgumentParser
+
+from data.waveforms.rejection import rejection_sample
+from data.waveforms.testing import testing_waveforms
+from data.waveforms.training import training_waveforms
+from ledger.injections import WaveformSet, waveform_class_factory
+
+training_parser = ArgumentParser()
+training_parser.add_argument("--config", action=ActionConfigFile)
+training_parser.add_function_arguments(training_waveforms)
+training_parser.add_argument("--output_file", "-o", type=str)
+
+testing_parser = ArgumentParser()
+testing_parser.add_argument("--config", action=ActionConfigFile)
+testing_parser.add_function_arguments(testing_waveforms)
+
+validation_parser = ArgumentParser()
+validation_parser.add_argument("--config", action=ActionConfigFile)
+validation_parser.add_function_arguments(rejection_sample)
+validation_parser.add_argument("--output_file", "-o", type=str)
+
+
+def training(args=None):
+    cfg = training_parser.parse_args(args)
+    args_dict = {k: v for k, v in cfg.as_dict().items() if k != "config"}
+    output_file = args_dict.pop("output_file")
+    waveforms = training_waveforms(**args_dict)
+    chunks = (
+        min(64, args_dict["num_signals"]),
+        waveforms.get_waveforms().shape[-1],
+    )
+    waveforms.write(output_file, chunks=chunks)
+
+
+def testing(args=None):
+    cfg = testing_parser.parse_args(args)
+    args_dict = {k: v for k, v in cfg.as_dict().items() if k != "config"}
+    testing_waveforms(**args_dict)
+
+
+def validation(args=None):
+    cfg = validation_parser.parse_args(args)
+    args_dict = {k: v for k, v in cfg.as_dict().items() if k != "config"}
+    output_file = args_dict.pop("output_file")
+    cls = waveform_class_factory(
+        args_dict["ifos"], WaveformSet, "IfoWaveformSet"
+    )
+    parameters, _ = rejection_sample(**args_dict)
+    waveform_set = cls(**parameters)
+    waveform_set.write(output_file)
diff --git a/projects/data/data/waveforms/testing.py b/projects/data/data/waveforms/testing.py
index 042b48a42..d5efcefaa 100644
--- a/projects/data/data/waveforms/testing.py
+++ b/projects/data/data/waveforms/testing.py
@@ -3,7 +3,6 @@
 from typing import Callable, List, Optional
 
 import numpy as np
-from jsonargparse import ArgumentParser
 
 import data.waveforms.utils as utils
 from data.waveforms.rejection import rejection_sample
@@ -178,10 +177,6 @@ def testing_waveforms(
     return waveform_fname, rejected_fname
 
 
-parser = ArgumentParser()
-parser.add_function_arguments(testing_waveforms)
-
-
 def main(args):
-    args = args.testing_waveforms.as_dict()
-    testing_waveforms(**args)
+    args_dict = {k: v for k, v in args.as_dict().items() if k != "config"}
+    testing_waveforms(**args_dict)
diff --git a/projects/data/data/waveforms/training.py b/projects/data/data/waveforms/training.py
index 4441f1307..f32823e75 100644
--- a/projects/data/data/waveforms/training.py
+++ b/projects/data/data/waveforms/training.py
@@ -1,7 +1,5 @@
 from typing import Callable
 
-from jsonargparse import ArgumentParser
-
 from data.waveforms.utils import convert_to_detector_frame
 from ledger.injections import BilbyParameterSet, WaveformPolarizationSet
 
@@ -65,17 +63,12 @@ def training_waveforms(
     return waveforms
 
 
-parser = ArgumentParser()
-parser.add_function_arguments(training_waveforms)
-parser.add_argument("--output_file", "-o", type=str)
-
-
 def main(args):
-    args = args.training_waveforms.as_dict()
-    output_file = args.pop("output_file")
-    waveforms = training_waveforms(**args)
+    args_dict = {k: v for k, v in args.as_dict().items() if k != "config"}
+    output_file = args_dict.pop("output_file")
+    waveforms = training_waveforms(**args_dict)
     chunks = (
-        min(64, args["num_signals"]),
+        min(64, args_dict["num_signals"]),
         waveforms.get_waveforms().shape[-1],
     )
     waveforms.write(output_file, chunks=chunks)
diff --git a/projects/data/data/waveforms/validation.py b/projects/data/data/waveforms/validation.py
index d968a9c26..7d4422e3d 100644
--- a/projects/data/data/waveforms/validation.py
+++ b/projects/data/data/waveforms/validation.py
@@ -1,23 +1,17 @@
-from jsonargparse import ArgumentParser
-
 from data.waveforms.rejection import rejection_sample
 from ledger.injections import WaveformSet, waveform_class_factory
 
-parser = ArgumentParser()
-parser.add_function_arguments(rejection_sample)
-parser.add_argument("--output_file", "-o", type=str)
-
 
 def main(args):
-    args = args.validation_waveforms.as_dict()
-    output_file = args.pop("output_file")
+    args_dict = {k: v for k, v in args.as_dict().items() if k != "config"}
+    output_file = args_dict.pop("output_file")
 
     cls = waveform_class_factory(
-        args["ifos"],
+        args_dict["ifos"],
         WaveformSet,
         "IfoWaveformSet",
     )
 
-    parameters, _ = rejection_sample(**args)
+    parameters, _ = rejection_sample(**args_dict)
     waveform_set = cls(**parameters)
     waveform_set.write(output_file)
diff --git a/projects/plots/plots/legacy/cli.py b/projects/plots/plots/legacy/cli.py
index 4ed455665..193dc0d45 100644
--- a/projects/plots/plots/legacy/cli.py
+++ b/projects/plots/plots/legacy/cli.py
@@ -6,8 +6,8 @@
 def main(args=None):
     parser = jsonargparse.ArgumentParser()
     parser.add_function_arguments(calc_sensitive_volume)
-    args = parser.parse_args()
-    calc_sensitive_volume(**vars(args))
+    cfg = parser.parse_args(args)
+    calc_sensitive_volume(**vars(cfg))
 
 
 if __name__ == "__main__":

From 093afee4194675c196044fbecd677a75ef8fd863 Mon Sep 17 00:00:00 2001
From: William Benoit <benoi090@umn.edu>
Date: Sun, 12 Apr 2026 14:27:58 -0500
Subject: [PATCH 13/27] Upgrade python and some deps

---
 .github/workflows/pre-commit.yaml |    9 +-
 libs/architectures/pyproject.toml |    4 +-
 libs/architectures/uv.lock        |  216 +++--
 libs/ledger/pyproject.toml        |    4 +-
 libs/ledger/uv.lock               |  937 +++++++++----------
 libs/p_astro/pyproject.toml       |    4 +-
 libs/p_astro/uv.lock              |  942 +++++++++----------
 libs/priors/pyproject.toml        |    4 +-
 libs/priors/uv.lock               |  687 +++++++-------
 libs/utils/pyproject.toml         |    4 +-
 libs/utils/uv.lock                |  569 ++++++-----
 projects/data/conda-lock.yml      |  149 ++-
 projects/data/environment.yaml    |    2 +-
 projects/data/pyproject.toml      |    2 +-
 projects/data/uv.lock             | 1321 ++++++++++----------------
 projects/export/pyproject.toml    |   11 +-
 projects/export/uv.lock           | 1067 ++++++++-------------
 projects/infer/pyproject.toml     |    9 +-
 projects/infer/uv.lock            | 1282 +++++++++++--------------
 projects/online/conda-lock.yml    |  237 ++---
 projects/online/environment.yaml  |    2 +-
 projects/online/pyproject.toml    |   11 +-
 projects/online/uv.lock           | 1045 ++++++++++++++++-----
 projects/plots/pyproject.toml     |    4 +-
 projects/plots/uv.lock            | 1297 ++++++++++---------------
 projects/train/pyproject.toml     |    8 +-
 projects/train/uv.lock            | 1440 +++++++++++-----------------
 pyproject.toml                    |   16 +-
 uv.lock                           | 1455 +++++++++++++----------------
 29 files changed, 5709 insertions(+), 7029 deletions(-)

diff --git a/.github/workflows/pre-commit.yaml b/.github/workflows/pre-commit.yaml
index 4ba6767a2..e662916cb 100644
--- a/.github/workflows/pre-commit.yaml
+++ b/.github/workflows/pre-commit.yaml
@@ -5,16 +5,11 @@ on:
   push:
     branches:
       - main
-      - dev
 
 jobs:
   pre-commit:
     runs-on: ubuntu-latest
     steps:
     - uses: actions/checkout@v4
-      with:
-        submodules: recursive
-    - uses: actions/setup-python@v5
-      with:
-        python-version: "3.9"
-    - uses: pre-commit/action@v3.0.1
+    - uses: astral-sh/setup-uv@v5
+    - run: uvx prek run --all-files
diff --git a/libs/architectures/pyproject.toml b/libs/architectures/pyproject.toml
index 7fc7ecab0..4ce69c7da 100644
--- a/libs/architectures/pyproject.toml
+++ b/libs/architectures/pyproject.toml
@@ -3,13 +3,13 @@ name = "architectures"
 version = "0.1.0"
 description = "Aframe neural network architectures"
 authors = [{ name = "Ethan Jacob Marx", email = "ethan.marx@ligo.org" }]
-requires-python = ">=3.10,<3.13"
+requires-python = ">=3.11,<3.14"
 license = "MIT"
 dependencies = [
     "einops>=0.8,<0.9",
     "ml4gw>=0.7.2",
     "h5py>=3.9.0,<4",
-    "numpy~=1.26",
+    "numpy>=2",
 ]
 
 [dependency-groups]
diff --git a/libs/architectures/uv.lock b/libs/architectures/uv.lock
index 0d862327d..1c40fab8c 100644
--- a/libs/architectures/uv.lock
+++ b/libs/architectures/uv.lock
@@ -1,6 +1,6 @@
 version = 1
 revision = 3
-requires-python = ">=3.10, <3.13"
+requires-python = ">=3.11, <3.14"
 resolution-markers = [
     "python_full_version >= '3.12'",
     "python_full_version < '3.12'",
@@ -27,7 +27,7 @@ requires-dist = [
     { name = "einops", specifier = ">=0.8,<0.9" },
     { name = "h5py", specifier = ">=3.9.0,<4" },
     { name = "ml4gw", specifier = ">=0.7.2" },
-    { name = "numpy", specifier = "~=1.26" },
+    { name = "numpy", specifier = ">=2" },
 ]
 
 [package.metadata.requires-dev]
@@ -51,15 +51,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/87/62/9773de14fe6c45c23649e98b83231fffd7b9892b6cf863251dc2afa73643/einops-0.8.1-py3-none-any.whl", hash = "sha256:919387eb55330f5757c6bea9165c5ff5cfe63a642682ea788a6d472576d81737", size = 64359, upload-time = "2025-02-09T03:17:01.998Z" },
 ]
 
-[[package]]
-name = "exceptiongroup"
-version = "1.2.2"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/09/35/2495c4ac46b980e4ca1f6ad6db102322ef3ad2410b79fdde159a4b0f3b92/exceptiongroup-1.2.2.tar.gz", hash = "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc", size = 28883, upload-time = "2024-07-12T22:26:00.161Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/02/cc/b7e31358aac6ed1ef2bb790a9746ac2c69bcb3c8588b41616914eb106eaf/exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b", size = 16453, upload-time = "2024-07-12T22:25:58.476Z" },
-]
-
 [[package]]
 name = "filelock"
 version = "3.17.0"
@@ -87,11 +78,6 @@ dependencies = [
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/cc/0c/5c2b0a88158682aeafb10c1c2b735df5bc31f165bfe192f2ee9f2a23b5f1/h5py-3.12.1.tar.gz", hash = "sha256:326d70b53d31baa61f00b8aa5f95c2fcb9621a3ee8365d770c551a13dbbcbfdf", size = 411457, upload-time = "2024-09-26T16:41:39.883Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/df/7d/b21045fbb004ad8bb6fb3be4e6ca903841722706f7130b9bba31ef2f88e3/h5py-3.12.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2f0f1a382cbf494679c07b4371f90c70391dedb027d517ac94fa2c05299dacda", size = 3402133, upload-time = "2024-09-26T16:39:27.937Z" },
-    { url = "https://files.pythonhosted.org/packages/29/a7/3c2a33fba1da64a0846744726fd067a92fb8abb887875a0dd8e3bac8b45d/h5py-3.12.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:cb65f619dfbdd15e662423e8d257780f9a66677eae5b4b3fc9dca70b5fd2d2a3", size = 2866436, upload-time = "2024-09-26T16:39:32.495Z" },
-    { url = "https://files.pythonhosted.org/packages/1e/d0/4bf67c3937a2437c20844165766ddd1a1817ae6b9544c3743050d8e0f403/h5py-3.12.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3b15d8dbd912c97541312c0e07438864d27dbca857c5ad634de68110c6beb1c2", size = 5168596, upload-time = "2024-09-26T16:39:39.107Z" },
-    { url = "https://files.pythonhosted.org/packages/85/bc/e76f4b2096e0859225f5441d1b7f5e2041fffa19fc2c16756c67078417aa/h5py-3.12.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:59685fe40d8c1fbbee088c88cd4da415a2f8bee5c270337dc5a1c4aa634e3307", size = 5341537, upload-time = "2024-09-26T16:39:46.037Z" },
-    { url = "https://files.pythonhosted.org/packages/99/bd/fb8ed45308bb97e04c02bd7aed324ba11e6a4bf9ed73967ca2a168e9cf92/h5py-3.12.1-cp310-cp310-win_amd64.whl", hash = "sha256:577d618d6b6dea3da07d13cc903ef9634cde5596b13e832476dd861aaf651f3e", size = 2990575, upload-time = "2024-09-26T16:39:50.903Z" },
     { url = "https://files.pythonhosted.org/packages/33/61/c463dc5fc02fbe019566d067a9d18746cd3c664f29c9b8b3c3f9ed025365/h5py-3.12.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:ccd9006d92232727d23f784795191bfd02294a4f2ba68708825cb1da39511a93", size = 3410828, upload-time = "2024-09-26T16:39:56.19Z" },
     { url = "https://files.pythonhosted.org/packages/95/9d/eb91a9076aa998bb2179d6b1788055ea09cdf9d6619cd967f1d3321ed056/h5py-3.12.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ad8a76557880aed5234cfe7279805f4ab5ce16b17954606cca90d578d3e713ef", size = 2872586, upload-time = "2024-09-26T16:40:00.204Z" },
     { url = "https://files.pythonhosted.org/packages/b0/62/e2b1f9723ff713e3bd3c16dfeceec7017eadc21ef063d8b7080c0fcdc58a/h5py-3.12.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1473348139b885393125126258ae2d70753ef7e9cec8e7848434f385ae72069e", size = 5273038, upload-time = "2024-09-26T16:40:06.444Z" },
@@ -102,6 +88,11 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/af/52/c604adc06280c15a29037d4aa79a24fe54d8d0b51085e81ed24b2fa995f7/h5py-3.12.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:050a4f2c9126054515169c49cb900949814987f0c7ae74c341b0c9f9b5056834", size = 5194606, upload-time = "2024-09-26T16:40:32.847Z" },
     { url = "https://files.pythonhosted.org/packages/fa/63/eeaacff417b393491beebabb8a3dc5342950409eb6d7b39d437289abdbae/h5py-3.12.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5c4b41d1019322a5afc5082864dfd6359f8935ecd37c11ac0029be78c5d112c9", size = 5413256, upload-time = "2024-09-26T16:40:39.188Z" },
     { url = "https://files.pythonhosted.org/packages/86/f7/bb465dcb92ca3521a15cbe1031f6d18234dbf1fb52a6796a00bfaa846ebf/h5py-3.12.1-cp312-cp312-win_amd64.whl", hash = "sha256:e4d51919110a030913201422fb07987db4338eba5ec8c5a15d6fab8e03d443fc", size = 2993055, upload-time = "2024-09-26T16:40:44.278Z" },
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 [[package]]
diff --git a/libs/ledger/pyproject.toml b/libs/ledger/pyproject.toml
index d1f126044..62fb66972 100644
--- a/libs/ledger/pyproject.toml
+++ b/libs/ledger/pyproject.toml
@@ -3,11 +3,11 @@ name = "ledger"
 version = "0.1.0"
 description = "Objects for storing and manipulating aframe data"
 authors = [{ name = "Ethan Marx", email = "emarx@mit.edu" }]
-requires-python = ">=3.10,<3.13"
+requires-python = ">=3.11,<3.14"
 license = "MIT"
 dependencies = [
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-    "numpy>=1.26.4,<2",
+    "numpy>=2",
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diff --git a/libs/ledger/uv.lock b/libs/ledger/uv.lock
index 6182d8e97..01e7f1714 100644
--- a/libs/ledger/uv.lock
+++ b/libs/ledger/uv.lock
@@ -1,10 +1,9 @@
 version = 1
 revision = 3
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 resolution-markers = [
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-    "python_full_version == '3.11.*'",
-    "python_full_version < '3.11'",
+    "python_full_version < '3.12'",
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diff --git a/libs/p_astro/pyproject.toml b/libs/p_astro/pyproject.toml
index 0c4510fc5..a4364bd87 100644
--- a/libs/p_astro/pyproject.toml
+++ b/libs/p_astro/pyproject.toml
@@ -3,11 +3,11 @@ name = "p_astro"
 version = "0.1.0"
 description = "Functions for calculating p_astro of events"
 authors = [{ name = "Will Benoit", email = "benoi090@umn.edu" }]
-requires-python = ">=3.10,<3.13"
+requires-python = ">=3.11,<3.14"
 license = "MIT"
 dependencies = [
     "astropy>=6.0",
-    "numpy~=1.26",
+    "numpy>=2",
     "ledger",
     "utils",
 ]
diff --git a/libs/p_astro/uv.lock b/libs/p_astro/uv.lock
index 363c3cd0d..7567c64df 100644
--- a/libs/p_astro/uv.lock
+++ b/libs/p_astro/uv.lock
@@ -1,10 +1,9 @@
 version = 1
 revision = 3
-requires-python = ">=3.10, <3.13"
+requires-python = ">=3.11, <3.14"
 resolution-markers = [
     "python_full_version >= '3.12'",
-    "python_full_version == '3.11.*'",
-    "python_full_version < '3.11'",
+    "python_full_version < '3.12'",
 ]
 
 [[package]]
@@ -41,7 +40,6 @@ source = { registry = "https://pypi.org/simple" }
 dependencies = [
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     { name = "aiosignal" },
-    { name = "async-timeout", marker = "python_full_version < '3.11'" },
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 [[package]]
@@ -1964,8 +1911,7 @@ name = "p-astro"
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+    { name = "astropy" },
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     { name = "ledger", editable = "../ledger" },
-    { name = "numpy", specifier = "~=1.26" },
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diff --git a/libs/priors/pyproject.toml b/libs/priors/pyproject.toml
index 0e230908a..4f39f4fd8 100644
--- a/libs/priors/pyproject.toml
+++ b/libs/priors/pyproject.toml
@@ -3,12 +3,12 @@ name = "priors"
 version = "0.1.0"
 description = "Priors used for aframe analysis"
 authors = [{ name = "Ethan Jacob Marx", email = "ethan.marx@ligo.org" }]
-requires-python = ">=3.10,<3.13"
+requires-python = ">=3.11,<3.14"
 license = "MIT"
 dependencies = [
     "astropy>=5.0",
     "bilby>=2.2.2,<3",
-    "numpy>=1.26.4,<2",
+    "numpy>=2",
     "utils",
 ]
 
diff --git a/libs/priors/uv.lock b/libs/priors/uv.lock
index 90545af68..22f65b5dd 100644
--- a/libs/priors/uv.lock
+++ b/libs/priors/uv.lock
@@ -1,10 +1,9 @@
 version = 1
 revision = 3
-requires-python = ">=3.10, <3.13"
+requires-python = ">=3.11, <3.14"
 resolution-markers = [
     "python_full_version >= '3.12'",
-    "python_full_version == '3.11.*'",
-    "python_full_version < '3.11'",
+    "python_full_version < '3.12'",
 ]
 
 [[package]]
@@ -41,7 +40,6 @@ source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiohappyeyeballs" },
     { name = "aiosignal" },
-    { name = "async-timeout", marker = "python_full_version < '3.11'" },
     { name = "attrs" },
     { name = "frozenlist" },
     { name = "multidict" },
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diff --git a/libs/utils/pyproject.toml b/libs/utils/pyproject.toml
index 70dbe8069..bcb4f2cc5 100644
--- a/libs/utils/pyproject.toml
+++ b/libs/utils/pyproject.toml
@@ -3,11 +3,11 @@ name = "utils"
 version = "0.1.0"
 description = "General utility functions for Aframe"
 authors = [{ name = "Ethan Jacob Marx", email = "ethan.marx@ligo.org" }]
-requires-python = ">=3.10,<3.13"
+requires-python = ">=3.11,<3.14"
 license = "MIT"
 dependencies = [
     "h5py~=3.6",
-    "numpy>=1.26.4,<2",
+    "numpy>=2",
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     "astropy>=6.0.1",
diff --git a/libs/utils/uv.lock b/libs/utils/uv.lock
index 1cfd3e70d..a6882d09b 100644
--- a/libs/utils/uv.lock
+++ b/libs/utils/uv.lock
@@ -1,10 +1,9 @@
 version = 1
 revision = 3
-requires-python = ">=3.10, <3.13"
+requires-python = ">=3.11, <3.14"
 resolution-markers = [
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-    "python_full_version == '3.11.*'",
-    "python_full_version < '3.11'",
+    "python_full_version < '3.12'",
 ]
 
 [[package]]
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diff --git a/projects/data/conda-lock.yml b/projects/data/conda-lock.yml
index 33c8b516c..2a0a8158e 100644
--- a/projects/data/conda-lock.yml
+++ b/projects/data/conda-lock.yml
@@ -13,7 +13,7 @@
 version: 1
 metadata:
   content_hash:
-    linux-64: a31adc04c6ab7b4b2865356004c78d78100bb7e7aa3a8254a3fa8190d6d243e9
+    linux-64: 6fcfe65c3c9c20a15eefe84e6348c56f5a051c6340120bbb47ad23d52b93d8ed
   channels:
   - url: conda-forge
     used_env_vars: []
@@ -140,9 +140,9 @@ package:
   manager: conda
   platform: linux-64
   dependencies:
+    luigi: '>=2.8.2'
     python: ''
     six: '>=1.10'
-    luigi: '>=2.8.2'
   url: https://conda.anaconda.org/conda-forge/noarch/law-0.1.20-pyh29332c3_2.conda
   hash:
     md5: bd7d23497790ed63c4f5e8849cd1b5ff
@@ -243,9 +243,9 @@ package:
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   platform: linux-64
   dependencies:
-    ncurses: '>=6.5,<7.0a0'
     __glibc: '>=2.17,<3.0.a0'
     libgcc: '>=13'
+    ncurses: '>=6.5,<7.0a0'
   url: https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20250104-pl5321h7949ede_0.conda
   hash:
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@@ -365,17 +365,17 @@ package:
     sha256: ec30e52a3c1bf7d0425380a189d209a52baa03f22fb66dd3eb587acaa765bd6d
   category: main
   optional: false
-- name: libnsl
-  version: 2.0.1
+- name: libmpdec
+  version: 4.0.0
   manager: conda
   platform: linux-64
   dependencies:
     __glibc: '>=2.17,<3.0.a0'
-    libgcc: '>=13'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libnsl-2.0.1-hb9d3cd8_1.conda
+    libgcc: '>=14'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libmpdec-4.0.0-hb03c661_1.conda
   hash:
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-    sha256: 927fe72b054277cde6cb82597d0fcf6baf127dcbce2e0a9d8925a68f1265eef5
+    md5: 2c21e66f50753a083cbe6b80f38268fa
+    sha256: fe171ed5cf5959993d43ff72de7596e8ac2853e9021dec0344e583734f1e0843
   category: main
   optional: false
 - name: libntlm
@@ -489,10 +489,10 @@ package:
   platform: linux-64
   dependencies:
     python: ''
+    python-daemon: <2.2.0
     python-dateutil: '>=2.7.5,<3'
     tenacity: '>=9'
     tornado: '>=5.0,<7'
-    python-daemon: <2.2.0
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   url: https://conda.anaconda.org/conda-forge/noarch/luigi-3.8.0-pyhcf101f3_0.conda
   hash:
@@ -533,18 +533,18 @@ package:
   manager: conda
   platform: linux-64
   dependencies:
-    python: ''
-    libgcc: '>=14'
-    libstdcxx: '>=14'
     __glibc: '>=2.17,<3.0.a0'
-    liblapack: '>=3.9.0,<4.0a0'
     libblas: '>=3.9.0,<4.0a0'
-    python_abi: 3.12.*
     libcblas: '>=3.9.0,<4.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/numpy-2.4.3-py312h33ff503_0.conda
+    libgcc: '>=14'
+    liblapack: '>=3.9.0,<4.0a0'
+    libstdcxx: '>=14'
+    python: ''
+    python_abi: 3.13.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/numpy-2.4.3-py313hf6604e3_0.conda
   hash:
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-    sha256: 1aab7ba963affa572956b1bd8d239df52a9c7bc799c560f98bc658ab70224e10
+    md5: c4a9d2e77eb9fee983a70cf5f047c202
+    sha256: bcf75998ea3ae133df3580fb427d1054b006b093799430f499fd7ce8207d34c7
   category: main
   optional: false
 - name: openssl
@@ -561,59 +561,45 @@ package:
     sha256: c0ef482280e38c71a08ad6d71448194b719630345b0c9c60744a2010e8a8e0cb
   category: main
   optional: false
-- name: packaging
-  version: '26.0'
-  manager: conda
-  platform: linux-64
-  dependencies:
-    python: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/packaging-26.0-pyhcf101f3_0.conda
-  hash:
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-    sha256: c1fc0f953048f743385d31c468b4a678b3ad20caffdeaa94bed85ba63049fd58
-  category: main
-  optional: false
 - name: pip
   version: 26.0.1
   manager: conda
   platform: linux-64
   dependencies:
-    python: '>=3.10,<3.13.0a0'
-    setuptools: ''
-    wheel: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/pip-26.0.1-pyh8b19718_0.conda
+    python: '>=3.13.0a0'
+  url: https://conda.anaconda.org/conda-forge/noarch/pip-26.0.1-pyh145f28c_0.conda
   hash:
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-    sha256: 8e1497814a9997654ed7990a79c054ea5a42545679407acbc6f7e809c73c9120
+    md5: 09a970fbf75e8ed1aa633827ded6aa4f
+    sha256: 5f66ea31d62188c266c5a8752119b0cc90a5bf05963f665cf48a33e0ec58d39c
   category: main
   optional: false
 - name: python
-  version: 3.12.13
+  version: 3.13.13
   manager: conda
   platform: linux-64
   dependencies:
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     bzip2: '>=1.0.8,<2.0a0'
     ld_impl_linux-64: '>=2.36.1'
-    libexpat: '>=2.7.4,<3.0a0'
+    libexpat: '>=2.7.5,<3.0a0'
     libffi: '>=3.5.2,<3.6.0a0'
     libgcc: '>=14'
     liblzma: '>=5.8.2,<6.0a0'
-    libnsl: '>=2.0.1,<2.1.0a0'
-    libsqlite: '>=3.51.2,<4.0a0'
-    libuuid: '>=2.41.3,<3.0a0'
-    libxcrypt: '>=4.4.36'
-    libzlib: '>=1.3.1,<2.0a0'
+    libmpdec: '>=4.0.0,<5.0a0'
+    libsqlite: '>=3.52.0,<4.0a0'
+    libuuid: '>=2.42,<3.0a0'
+    libzlib: '>=1.3.2,<2.0a0'
     ncurses: '>=6.5,<7.0a0'
-    openssl: '>=3.5.5,<4.0a0'
+    openssl: '>=3.5.6,<4.0a0'
+    pip: ''
+    python_abi: 3.13.*
     readline: '>=8.3,<9.0a0'
     tk: '>=8.6.13,<8.7.0a0'
     tzdata: ''
-    pip: ''
-  url: https://conda.anaconda.org/conda-forge/linux-64/python-3.12.13-hd63d673_0_cpython.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/python-3.13.13-h6add32d_100_cp313.conda
   hash:
-    md5: 7eccb41177e15cc672e1babe9056018e
-    sha256: a44655c1c3e1d43ed8704890a91e12afd68130414ea2c0872e154e5633a13d7e
+    md5: 05051be49267378d2fcd12931e319ac3
+    sha256: 7f77eb57648f545c1f58e10035d0d9d66b0a0efb7c4b58d3ed89ec7269afdde1
   category: main
   optional: false
 - name: python-daemon
@@ -621,9 +607,9 @@ package:
   manager: conda
   platform: linux-64
   dependencies:
-    python: ''
     docutils: ''
     lockfile: '>=0.10'
+    python: ''
     setuptools: <82
   url: https://conda.anaconda.org/conda-forge/noarch/python-daemon-2.1.2-pyhcf101f3_4.conda
   hash:
@@ -652,12 +638,12 @@ package:
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     libgcc: '>=14'
     libstdcxx: '>=14'
-    python: '>=3.12,<3.13.0a0'
-    python_abi: 3.12.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/python-ldas-tools-al-2.6.11-py312hd9148b4_2.conda
+    python: '>=3.13,<3.14.0a0'
+    python_abi: 3.13.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/python-ldas-tools-al-2.6.11-py313h7037e92_2.conda
   hash:
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-    sha256: 2491711ae906f22f470755a348346d8af00353ba156568a46e5510056f7dd5b4
+    md5: cb0f3768d138d0bee39ac89c393e2dd6
+    sha256: f47c14e30586efc8674dcd919cb51b95471100d440751c1cc2d258b0d95c3cdb
   category: main
   optional: false
 - name: python-ldas-tools-framecpp
@@ -672,13 +658,13 @@ package:
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     libstdcxx: '>=14'
     numpy: '>=1.23,<3'
-    python: '>=3.12,<3.13.0a0'
+    python: '>=3.13,<3.14.0a0'
     python-ldas-tools-al: '>=2.6.10'
-    python_abi: 3.12.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/python-ldas-tools-framecpp-2.6.14-py312h25b3ab5_9.conda
+    python_abi: 3.13.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/python-ldas-tools-framecpp-2.6.14-py313hcce9d79_9.conda
   hash:
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-    sha256: 0e18a73066505c458df806b5508c000c950c99293f1e34e3b9792e60d99d7ece
+    md5: 7acf2240082fd37f7f179579a2f79c7a
+    sha256: 9a3352dd2a24e4085d6d867d5969c95ad89754d9fa72875e384628861f8b0317
   category: main
   optional: false
 - name: python-nds2-client
@@ -691,23 +677,23 @@ package:
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     numpy: '>=1.23,<3'
-    python: '>=3.12,<3.13.0a0'
-    python_abi: 3.12.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/python-nds2-client-0.16.12-py312hf79963d_8.conda
+    python: '>=3.13,<3.14.0a0'
+    python_abi: 3.13.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/python-nds2-client-0.16.12-py313h08cd8bf_8.conda
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-    sha256: c87e135a49634d77198e8b64dcd8982935fe505a784afe497d8bf4d95f741668
+    md5: 956ba13302b912530bea6d4139ce5df6
+    sha256: f4944123cee0f67f47294a13f9ddde97fda9534beb44dccee49d19c24820e49d
   category: main
   optional: false
 - name: python_abi
-  version: '3.12'
+  version: '3.13'
   manager: conda
   platform: linux-64
   dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.12-8_cp312.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.13-8_cp313.conda
   hash:
-    md5: c3efd25ac4d74b1584d2f7a57195ddf1
-    sha256: 80677180dd3c22deb7426ca89d6203f1c7f1f256f2d5a94dc210f6e758229809
+    md5: 94305520c52a4aa3f6c2b1ff6008d9f8
+    sha256: 210bffe7b121e651419cb196a2a63687b087497595c9be9d20ebe97dd06060a7
   category: main
   optional: false
 - name: readline
@@ -781,12 +767,12 @@ package:
   dependencies:
     __glibc: '>=2.17,<3.0.a0'
     libgcc: '>=14'
-    python: '>=3.12,<3.13.0a0'
-    python_abi: 3.12.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/tornado-6.5.5-py312h4c3975b_0.conda
+    python: '>=3.13,<3.14.0a0'
+    python_abi: 3.13.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/tornado-6.5.5-py313h07c4f96_0.conda
   hash:
-    md5: 2b37798adbc54fd9e591d24679d2133a
-    sha256: 4629b1c9139858fb08bb357df917ffc12e4d284c57ff389806bb3ae476ef4e0a
+    md5: 6c0b0ae017b5bfd9c8d718217efd8f14
+    sha256: 9e8497e1ecca77d03c6be2d3b5f901dfe0ab99686af4fb94ab418b7d449ac547
   category: main
   optional: false
 - name: typing_extensions
@@ -817,28 +803,15 @@ package:
   manager: conda
   platform: linux-64
   dependencies:
-    libstdcxx: '>=14'
-    libgcc: '>=14'
     __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=14'
+    libstdcxx: '>=14'
   url: https://conda.anaconda.org/conda-forge/linux-64/uv-0.11.6-h0f56927_0.conda
   hash:
     md5: f78bab5fcaf462a4309c88c18def5574
     sha256: b4e119c6776d5f752f7f10a1e4810dcbcfe0a6b32cc23689b0009f93af76bf6c
   category: main
   optional: false
-- name: wheel
-  version: 0.46.3
-  manager: conda
-  platform: linux-64
-  dependencies:
-    packaging: '>=24.0'
-    python: '>=3.10'
-  url: https://conda.anaconda.org/conda-forge/noarch/wheel-0.46.3-pyhd8ed1ab_0.conda
-  hash:
-    md5: bdbd7385b4a67025ac2dba4ef8cb6a8f
-    sha256: d6cf2f0ebd5e09120c28ecba450556ce553752652d91795442f0e70f837126ae
-  category: main
-  optional: false
 - name: zstd
   version: 1.5.7
   manager: conda
diff --git a/projects/data/environment.yaml b/projects/data/environment.yaml
index ed5746a16..349503172 100644
--- a/projects/data/environment.yaml
+++ b/projects/data/environment.yaml
@@ -3,7 +3,7 @@ channels:
   - conda-forge
 dependencies:
   # python/env management
-  - python>=3.10,<3.13
+  - python>=3.11,<3.14
   - pip
   - uv
   # C libraries not available on PyPI
diff --git a/projects/data/pyproject.toml b/projects/data/pyproject.toml
index 977c77564..e6f94be0c 100644
--- a/projects/data/pyproject.toml
+++ b/projects/data/pyproject.toml
@@ -6,7 +6,7 @@ authors = [
     { name = "Alec Gunny", email = "alecg@mit.edu" },
     { name = "Ethan Marx", email = "emarx@mit.edu" },
 ]
-requires-python = ">=3.10,<3.13"
+requires-python = ">=3.11,<3.14"
 license = "MIT"
 dependencies = [
     "utils",
diff --git a/projects/data/uv.lock b/projects/data/uv.lock
index 53f9b2126..ca4d5a28c 100644
--- a/projects/data/uv.lock
+++ b/projects/data/uv.lock
@@ -1,10 +1,9 @@
 version = 1
 revision = 3
-requires-python = ">=3.10, <3.13"
+requires-python = ">=3.11, <3.14"
 resolution-markers = [
     "python_full_version >= '3.12'",
-    "python_full_version == '3.11.*'",
-    "python_full_version < '3.11'",
+    "python_full_version < '3.12'",
 ]
 
 [[package]]
@@ -34,21 +33,21 @@ requires-dist = [
     { name = "kr8s", specifier = ">=0.10.0,<0.11" },
     { name = "law", specifier = ">=0.1.20" },
     { name = "luigi", specifier = "~=3.0" },
-    { name = "ml4gw-hermes", specifier = ">=0.2.1" },
-    { name = "numpy", specifier = ">=1.26.4,<2" },
+    { name = "ml4gw-hermes", git = "https://github.com/ML4GW/hermes?branch=dev" },
+    { name = "numpy", specifier = ">=2" },
     { name = "psutil", specifier = ">=5.9.8,<6" },
     { name = "pykube-ng", extras = ["oidc"], specifier = ">=23.6.0,<24" },
-    { name = "spython", specifier = ">=0.2,<0.3" },
+    { name = "spython", specifier = ">=0.3" },
     { name = "utils", editable = "../../libs/utils" },
 ]
 
 [package.metadata.requires-dev]
 dev = [
-    { name = "conda-lock", specifier = ">=2.5.1,<3" },
-    { name = "jupyter", specifier = ">=1.0.0,<2" },
-    { name = "pre-commit", specifier = ">=3.7.0,<4" },
+    { name = "conda-lock", specifier = ">=4" },
+    { name = "prek", specifier = ">=0.1" },
 ]
 docs = [
+    { name = "jupyter", specifier = ">=1.0.0,<2" },
     { name = "linkify-it-py", specifier = ">=2.0.3,<3" },
     { name = "myst-parser", specifier = ">=2.0.0,<3" },
     { name = "sphinx", specifier = ">5.0" },
@@ -91,7 +90,6 @@ source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiohappyeyeballs" },
     { name = "aiosignal" },
-    { name = "async-timeout", marker = "python_full_version < '3.11'" },
     { name = "attrs" },
     { name = "frozenlist" },
     { name = "multidict" },
@@ -100,22 +98,6 @@ dependencies = [
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diff --git a/projects/export/pyproject.toml b/projects/export/pyproject.toml
index b95355d18..18f309cc0 100644
--- a/projects/export/pyproject.toml
+++ b/projects/export/pyproject.toml
@@ -3,19 +3,19 @@ name = "export"
 version = "0.1.0"
 description = "Export aframe for IaaS inference"
 authors = [{ name = "Ethan Jacob Marx", email = "ethan.marx@ligo.org" }]
-requires-python = ">=3.10,<3.13"
+requires-python = ">=3.11,<3.14"
 license = "MIT"
 dependencies = [
     "ml4gw>=0.8.0",
     "boto3~=1.30",
     "fsspec[s3]>=2024,<2025",
-    "ml4gw-hermes[torch]>=0.2.1",
+    "ml4gw-hermes[torch]",
     "aframe",
     "utils",
     "jsonargparse>=4.27.1,<5",
-    "nvidia-cudnn-cu11==8.9.6.50",
-    "tensorrt==8.5.2.2",
-    "urllib3>=1.25.4,<1.27",
+    "nvidia-cudnn-cu11",
+    "tensorrt",
+    "urllib3>=2",
 ]
 
 [project.scripts]
@@ -36,6 +36,7 @@ explicit = true
 [tool.uv.sources]
 aframe = { path = "../../", editable = true }
 utils = { path = "../../libs/utils", editable = true }
+ml4gw-hermes = { git = "https://github.com/ML4GW/hermes", branch = "dev" }
 
 [build-system]
 requires = ["hatchling"]
diff --git a/projects/export/uv.lock b/projects/export/uv.lock
index a57e9deec..8f122ff62 100644
--- a/projects/export/uv.lock
+++ b/projects/export/uv.lock
@@ -1,10 +1,10 @@
 version = 1
 revision = 3
-requires-python = ">=3.10, <3.13"
+requires-python = ">=3.11, <3.14"
 resolution-markers = [
-    "python_full_version >= '3.12'",
-    "python_full_version == '3.11.*'",
-    "python_full_version < '3.11'",
+    "python_full_version >= '3.13'",
+    "python_full_version == '3.12.*'",
+    "python_full_version < '3.12'",
 ]
 
 [[package]]
@@ -34,21 +34,21 @@ requires-dist = [
     { name = "kr8s", specifier = ">=0.10.0,<0.11" },
     { name = "law", specifier = ">=0.1.20" },
     { name = "luigi", specifier = "~=3.0" },
-    { name = "ml4gw-hermes", specifier = ">=0.2.1" },
-    { name = "numpy", specifier = ">=1.26.4,<2" },
+    { name = "ml4gw-hermes", git = "https://github.com/ML4GW/hermes?branch=dev" },
+    { name = "numpy", specifier = ">=2" },
     { name = "psutil", specifier = ">=5.9.8,<6" },
     { name = "pykube-ng", extras = ["oidc"], specifier = ">=23.6.0,<24" },
-    { name = "spython", specifier = ">=0.2,<0.3" },
+    { name = "spython", specifier = ">=0.3" },
     { name = "utils", editable = "../../libs/utils" },
 ]
 
 [package.metadata.requires-dev]
 dev = [
-    { name = "conda-lock", specifier = ">=2.5.1,<3" },
-    { name = "jupyter", specifier = ">=1.0.0,<2" },
-    { name = "pre-commit", specifier = ">=3.7.0,<4" },
+    { name = "conda-lock", specifier = ">=4" },
+    { name = "prek", specifier = ">=0.1" },
 ]
 docs = [
+    { name = "jupyter", specifier = ">=1.0.0,<2" },
     { name = "linkify-it-py", specifier = ">=2.0.3,<3" },
     { name = "myst-parser", specifier = ">=2.0.0,<3" },
     { name = "sphinx", specifier = ">5.0" },
@@ -92,7 +92,6 @@ source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiohappyeyeballs" },
     { name = "aiosignal" },
-    { name = "async-timeout", marker = "python_full_version < '3.11'" },
     { name = "attrs" },
     { name = "frozenlist" },
     { name = "multidict" },
@@ -101,22 +100,6 @@ dependencies = [
 ]
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diff --git a/projects/infer/pyproject.toml b/projects/infer/pyproject.toml
index eee5b12ac..a89c15bfe 100644
--- a/projects/infer/pyproject.toml
+++ b/projects/infer/pyproject.toml
@@ -7,16 +7,16 @@ authors = [
     { name = "Ethan Marx" },
     { name = "Will Benoit" },
 ]
-requires-python = ">=3.10,<3.13"
+requires-python = ">=3.11,<3.14"
 dependencies = [
     "ratelimiter~=1.2",
     "jsonargparse~=4.24",
     "tqdm~=4.66",
-    "ml4gw-hermes[torch]>=0.2.1",
+    "ml4gw-hermes[torch]",
     "aframe",
     "utils",
     "ledger",
-    "urllib3>=1.25.4,<1.27",
+    "urllib3>=2",
 ]
 
 [project.scripts]
@@ -25,7 +25,7 @@ infer = "infer.cli:main"
 [dependency-groups]
 dev = [
     "jupyter>=1.0.0,<2",
-    "pytest~=7.3",
+    "pytest>=8,<9",
 ]
 
 [tool.uv]
@@ -39,6 +39,7 @@ explicit = true
 aframe = { path = "../../", editable = true }
 utils = { path = "../../libs/utils", editable = true }
 ledger = { path = "../../libs/ledger", editable = true }
+ml4gw-hermes = { git = "https://github.com/ML4GW/hermes", branch = "dev" }
 
 [build-system]
 requires = ["hatchling"]
diff --git a/projects/infer/uv.lock b/projects/infer/uv.lock
index 5502aeeb5..9ad491dae 100644
--- a/projects/infer/uv.lock
+++ b/projects/infer/uv.lock
@@ -1,8 +1,9 @@
 version = 1
 revision = 3
-requires-python = ">=3.10, <3.13"
+requires-python = ">=3.11, <3.14"
 resolution-markers = [
-    "python_full_version >= '3.12'",
+    "python_full_version >= '3.13'",
+    "python_full_version == '3.12.*'",
     "python_full_version < '3.12'",
 ]
 
@@ -33,21 +34,21 @@ requires-dist = [
     { name = "kr8s", specifier = ">=0.10.0,<0.11" },
     { name = "law", specifier = ">=0.1.20" },
     { name = "luigi", specifier = "~=3.0" },
-    { name = "ml4gw-hermes", specifier = ">=0.2.1" },
-    { name = "numpy", specifier = ">=1.26.4,<2" },
+    { name = "ml4gw-hermes", git = "https://github.com/ML4GW/hermes?branch=dev" },
+    { name = "numpy", specifier = ">=2" },
     { name = "psutil", specifier = ">=5.9.8,<6" },
     { name = "pykube-ng", extras = ["oidc"], specifier = ">=23.6.0,<24" },
-    { name = "spython", specifier = ">=0.2,<0.3" },
+    { name = "spython", specifier = ">=0.3" },
     { name = "utils", editable = "../../libs/utils" },
 ]
 
 [package.metadata.requires-dev]
 dev = [
-    { name = "conda-lock", specifier = ">=2.5.1,<3" },
-    { name = "jupyter", specifier = ">=1.0.0,<2" },
-    { name = "pre-commit", specifier = ">=3.7.0,<4" },
+    { name = "conda-lock", specifier = ">=4" },
+    { name = "prek", specifier = ">=0.1" },
 ]
 docs = [
+    { name = "jupyter", specifier = ">=1.0.0,<2" },
     { name = "linkify-it-py", specifier = ">=2.0.3,<3" },
     { name = "myst-parser", specifier = ">=2.0.0,<3" },
     { name = "sphinx", specifier = ">5.0" },
@@ -91,7 +92,6 @@ source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiohappyeyeballs" },
     { name = "aiosignal" },
-    { name = "async-timeout", marker = "python_full_version < '3.11'" },
     { name = "attrs" },
     { name = "frozenlist" },
     { name = "multidict" },
@@ -100,22 +100,6 @@ dependencies = [
 ]
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 [[package]]
@@ -176,10 +176,9 @@ name = "anyio"
 version = "4.8.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "exceptiongroup", marker = "python_full_version < '3.11'" },
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     { name = "sniffio" },
-    { name = "typing-extensions" },
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 name = "astropy"
-version = "6.0.1"
+version = "7.2.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
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@@ -252,38 +251,25 @@ dependencies = [
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diff --git a/projects/online/conda-lock.yml b/projects/online/conda-lock.yml
index f1f08bef3..b420f8adf 100644
--- a/projects/online/conda-lock.yml
+++ b/projects/online/conda-lock.yml
@@ -13,7 +13,7 @@
 version: 1
 metadata:
   content_hash:
-    linux-64: a8f2a0e87245150d5cee18c35065b3db5d75f0c34071ba3260f1e2e0dada840a
+    linux-64: 3cb06b8a0fcbb8b01f034bb18814834967a85b4be4b2f605f7c8ab4557374b68
   channels:
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     used_env_vars: []
@@ -41,15 +41,15 @@ package:
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   platform: linux-64
   dependencies:
-    python: ''
-    libgcc: '>=14'
     __glibc: '>=2.17,<3.0.a0'
-    python_abi: 3.12.*
+    libgcc: '>=14'
+    python: ''
+    python_abi: 3.13.*
     zstd: '>=1.5.7,<1.6.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/backports.zstd-1.3.0-py312h90b7ffd_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/backports.zstd-1.3.0-py313h18e8e13_0.conda
   hash:
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-    sha256: d77a24be15e283d83214121428290dbe55632a6e458378205b39c550afa008cf
+    md5: d9e90792551a527200637e23a915dd79
+    sha256: 9552afbec37c4d8d0e83a5c4c6b3c7f4b8785f935094ce3881e0a249045909ce
   category: main
   optional: false
 - name: bcrypt
@@ -57,14 +57,14 @@ package:
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   platform: linux-64
   dependencies:
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     __glibc: '>=2.17,<3.0.a0'
     libgcc: '>=14'
-    python_abi: 3.12.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/bcrypt-5.0.0-py312h868fb18_1.conda
+    python: ''
+    python_abi: 3.13.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/bcrypt-5.0.0-py313h843e2db_1.conda
   hash:
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-    sha256: 22020286e3d27eba7c9efef79c1020782885992aea0e7d28d7274c4405001521
+    md5: b59ec3796cba93d0db5f71e361176f27
+    sha256: cdf7496797af275f8bb5edd270aa06303dde623c7dd3a5941b0ce085d8f4cdc5
   category: main
   optional: false
 - name: brotli-python
@@ -75,12 +75,12 @@ package:
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     libgcc: '>=14'
     libstdcxx: '>=14'
-    python: '>=3.12,<3.13.0a0'
-    python_abi: 3.12.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.2.0-py312hdb49522_1.conda
+    python: '>=3.13,<3.14.0a0'
+    python_abi: 3.13.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.2.0-py313hf159716_1.conda
   hash:
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-    sha256: 49df13a1bb5e388ca0e4e87022260f9501ed4192656d23dc9d9a1b4bf3787918
+    md5: 6c4d3597cf43f3439a51b2b13e29a4ba
+    sha256: dadec2879492adede0a9af0191203f9b023f788c18efd45ecac676d424c458ae
   category: main
   optional: false
 - name: bzip2
@@ -117,12 +117,12 @@ package:
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     libgcc: '>=14'
     pycparser: ''
-    python: '>=3.12,<3.13.0a0'
-    python_abi: 3.12.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/cffi-2.0.0-py312h460c074_1.conda
+    python: '>=3.13,<3.14.0a0'
+    python_abi: 3.13.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/cffi-2.0.0-py313hf46b229_1.conda
   hash:
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-    sha256: 7dafe8173d5f94e46cf9cd597cc8ff476a8357fbbd4433a8b5697b2864845d9c
+    md5: d0616e7935acab407d1543b28c446f6f
+    sha256: 2162a91819945c826c6ef5efe379e88b1df0fe9a387eeba23ddcf7ebeacd5bd6
   category: main
   optional: false
 - name: cryptography
@@ -134,12 +134,12 @@ package:
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     libgcc: '>=14'
     openssl: '>=3.5.6,<4.0a0'
-    python: '>=3.12,<3.13.0a0'
-    python_abi: 3.12.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/cryptography-46.0.7-py312ha4b625e_0.conda
+    python: '>=3.13,<3.14.0a0'
+    python_abi: 3.13.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/cryptography-46.0.7-py313heb322e3_0.conda
   hash:
-    md5: ab9e1a0591be902a1707159b58460453
-    sha256: ec1635e4c3016f85d170f9f8d060f8a615d352b55bb39255a12dd3a1903d476c
+    md5: 9702a147e144f2e197c7dc5f0b4d059e
+    sha256: 02d6aad8b3f0fb92f22efb02aa9dd7605aab6c761fe27a86ab24b82fbb068f24
   category: main
   optional: false
 - name: cyrus-sasl
@@ -177,9 +177,9 @@ package:
   manager: conda
   platform: linux-64
   dependencies:
-    python: ''
-    hyperframe: '>=6.1,<7'
     hpack: '>=4.1,<5'
+    hyperframe: '>=6.1,<7'
+    python: ''
   url: https://conda.anaconda.org/conda-forge/noarch/h2-4.3.0-pyhcf101f3_0.conda
   hash:
     md5: 164fc43f0b53b6e3a7bc7dce5e4f1dc9
@@ -205,14 +205,14 @@ package:
   dependencies:
     jq: ''
     paramiko: ''
-    python: '>=3.12,<3.13.0a0'
+    python: '>=3.13,<3.14.0a0'
     python-gssapi: ''
-    python_abi: 3.12.*
+    python_abi: 3.13.*
     urllib3: ''
-  url: https://conda.anaconda.org/conda-forge/linux-64/htgettoken-2.6-py312h7900ff3_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/htgettoken-2.6-py313h78bf25f_0.conda
   hash:
-    md5: d341279ba84525b9ac1ea09e28c9022c
-    sha256: ed166a6c3b811acfd2269a218da9784e718975e6fe48b2fd9411d682c50510ac
+    md5: 096f680e2d068b0fdc00ec329cb16f69
+    sha256: 69ac4383bedb4ed76c6f9b3a3031464928540a502880ca2a17fed743acbc6be5
   category: main
   optional: false
 - name: hyperframe
@@ -258,9 +258,9 @@ package:
   manager: conda
   platform: linux-64
   dependencies:
-    oniguruma: '>=6.9.10,<6.10.0a0'
-    libgcc: '>=13'
     __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    oniguruma: '>=6.9.10,<6.10.0a0'
   url: https://conda.anaconda.org/conda-forge/linux-64/jq-1.8.1-h73b1eb8_0.conda
   hash:
     md5: 2714e43bfc035f7ef26796632aa1b523
@@ -391,9 +391,9 @@ package:
   manager: conda
   platform: linux-64
   dependencies:
-    ncurses: '>=6.5,<7.0a0'
     __glibc: '>=2.17,<3.0.a0'
     libgcc: '>=13'
+    ncurses: '>=6.5,<7.0a0'
   url: https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20250104-pl5321h7949ede_0.conda
   hash:
     md5: c277e0a4d549b03ac1e9d6cbbe3d017b
@@ -513,17 +513,17 @@ package:
     sha256: ec30e52a3c1bf7d0425380a189d209a52baa03f22fb66dd3eb587acaa765bd6d
   category: main
   optional: false
-- name: libnsl
-  version: 2.0.1
+- name: libmpdec
+  version: 4.0.0
   manager: conda
   platform: linux-64
   dependencies:
     __glibc: '>=2.17,<3.0.a0'
-    libgcc: '>=13'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libnsl-2.0.1-hb9d3cd8_1.conda
+    libgcc: '>=14'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libmpdec-4.0.0-hb03c661_1.conda
   hash:
-    md5: d864d34357c3b65a4b731f78c0801dc4
-    sha256: 927fe72b054277cde6cb82597d0fcf6baf127dcbce2e0a9d8925a68f1265eef5
+    md5: 2c21e66f50753a083cbe6b80f38268fa
+    sha256: fe171ed5cf5959993d43ff72de7596e8ac2853e9021dec0344e583734f1e0843
   category: main
   optional: false
 - name: libntlm
@@ -559,8 +559,8 @@ package:
   manager: conda
   platform: linux-64
   dependencies:
-    libgcc: '>=14'
     __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=14'
   url: https://conda.anaconda.org/conda-forge/linux-64/libsodium-1.0.21-h280c20c_3.conda
   hash:
     md5: 7af961ef4aa2c1136e11dd43ded245ab
@@ -665,18 +665,18 @@ package:
   manager: conda
   platform: linux-64
   dependencies:
-    python: ''
-    libgcc: '>=14'
-    libstdcxx: '>=14'
     __glibc: '>=2.17,<3.0.a0'
-    liblapack: '>=3.9.0,<4.0a0'
     libblas: '>=3.9.0,<4.0a0'
-    python_abi: 3.12.*
     libcblas: '>=3.9.0,<4.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/numpy-2.4.3-py312h33ff503_0.conda
+    libgcc: '>=14'
+    liblapack: '>=3.9.0,<4.0a0'
+    libstdcxx: '>=14'
+    python: ''
+    python_abi: 3.13.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/numpy-2.4.3-py313hf6604e3_0.conda
   hash:
-    md5: 5930ee8a175a242b4f001b1e9e72024f
-    sha256: 1aab7ba963affa572956b1bd8d239df52a9c7bc799c560f98bc658ab70224e10
+    md5: c4a9d2e77eb9fee983a70cf5f047c202
+    sha256: bcf75998ea3ae133df3580fb427d1054b006b093799430f499fd7ce8207d34c7
   category: main
   optional: false
 - name: oniguruma
@@ -706,18 +706,6 @@ package:
     sha256: c0ef482280e38c71a08ad6d71448194b719630345b0c9c60744a2010e8a8e0cb
   category: main
   optional: false
-- name: packaging
-  version: '26.0'
-  manager: conda
-  platform: linux-64
-  dependencies:
-    python: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/packaging-26.0-pyhcf101f3_0.conda
-  hash:
-    md5: b76541e68fea4d511b1ac46a28dcd2c6
-    sha256: c1fc0f953048f743385d31c468b4a678b3ad20caffdeaa94bed85ba63049fd58
-  category: main
-  optional: false
 - name: paramiko
   version: 4.0.0
   manager: conda
@@ -739,13 +727,11 @@ package:
   manager: conda
   platform: linux-64
   dependencies:
-    python: '>=3.10,<3.13.0a0'
-    setuptools: ''
-    wheel: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/pip-26.0.1-pyh8b19718_0.conda
+    python: '>=3.13.0a0'
+  url: https://conda.anaconda.org/conda-forge/noarch/pip-26.0.1-pyh145f28c_0.conda
   hash:
-    md5: 67bdec43082fd8a9cffb9484420b39a2
-    sha256: 8e1497814a9997654ed7990a79c054ea5a42545679407acbc6f7e809c73c9120
+    md5: 09a970fbf75e8ed1aa633827ded6aa4f
+    sha256: 5f66ea31d62188c266c5a8752119b0cc90a5bf05963f665cf48a33e0ec58d39c
   category: main
   optional: false
 - name: pycparser
@@ -769,13 +755,13 @@ package:
     cffi: '>=1.4.1'
     libgcc: '>=14'
     libsodium: '>=1.0.21,<1.0.22.0a0'
-    python: '>=3.12,<3.13.0a0'
-    python_abi: 3.12.*
+    python: '>=3.13,<3.14.0a0'
+    python_abi: 3.13.*
     six: ''
-  url: https://conda.anaconda.org/conda-forge/linux-64/pynacl-1.6.2-py312h587e1b2_1.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/pynacl-1.6.2-py313h5008379_1.conda
   hash:
-    md5: 6e4d8ed581cc576435d366372054ac71
-    sha256: cc84dd07811861c800fb3f0df3fb64ea579adcb518a5daac6e1089baabd697d1
+    md5: c4426edfc5514a2c9be6871557bce52b
+    sha256: 51e80a7bef95025ad47a92acb69ee0e78f01e107655c86fe76abcde2ac688166
   category: main
   optional: false
 - name: pysocks
@@ -792,32 +778,32 @@ package:
   category: main
   optional: false
 - name: python
-  version: 3.12.13
+  version: 3.13.13
   manager: conda
   platform: linux-64
   dependencies:
     __glibc: '>=2.17,<3.0.a0'
     bzip2: '>=1.0.8,<2.0a0'
     ld_impl_linux-64: '>=2.36.1'
-    libexpat: '>=2.7.4,<3.0a0'
+    libexpat: '>=2.7.5,<3.0a0'
     libffi: '>=3.5.2,<3.6.0a0'
     libgcc: '>=14'
     liblzma: '>=5.8.2,<6.0a0'
-    libnsl: '>=2.0.1,<2.1.0a0'
-    libsqlite: '>=3.51.2,<4.0a0'
-    libuuid: '>=2.41.3,<3.0a0'
-    libxcrypt: '>=4.4.36'
-    libzlib: '>=1.3.1,<2.0a0'
+    libmpdec: '>=4.0.0,<5.0a0'
+    libsqlite: '>=3.52.0,<4.0a0'
+    libuuid: '>=2.42,<3.0a0'
+    libzlib: '>=1.3.2,<2.0a0'
     ncurses: '>=6.5,<7.0a0'
-    openssl: '>=3.5.5,<4.0a0'
+    openssl: '>=3.5.6,<4.0a0'
+    pip: ''
+    python_abi: 3.13.*
     readline: '>=8.3,<9.0a0'
     tk: '>=8.6.13,<8.7.0a0'
     tzdata: ''
-    pip: ''
-  url: https://conda.anaconda.org/conda-forge/linux-64/python-3.12.13-hd63d673_0_cpython.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/python-3.13.13-h6add32d_100_cp313.conda
   hash:
-    md5: 7eccb41177e15cc672e1babe9056018e
-    sha256: a44655c1c3e1d43ed8704890a91e12afd68130414ea2c0872e154e5633a13d7e
+    md5: 05051be49267378d2fcd12931e319ac3
+    sha256: 7f77eb57648f545c1f58e10035d0d9d66b0a0efb7c4b58d3ed89ec7269afdde1
   category: main
   optional: false
 - name: python-gssapi
@@ -829,12 +815,12 @@ package:
     decorator: ''
     krb5: '>=1.22.2,<1.23.0a0'
     libgcc: '>=14'
-    python: '>=3.12,<3.13.0a0'
-    python_abi: 3.12.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/python-gssapi-1.11.1-py312hf9980d4_1.conda
+    python: '>=3.13,<3.14.0a0'
+    python_abi: 3.13.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/python-gssapi-1.11.1-py313h71539a6_1.conda
   hash:
-    md5: 2c94a14272c456aaa2a024cfa6621c2e
-    sha256: 70deb9508f445f75e2e897a7fc069e1d8388712aa5f98cb0636bb35d1b9aa296
+    md5: a8947f318cc031c773de398d469f78d6
+    sha256: 77fc6661f6da39ec977e2460df6218fff1470c8e79e4c6236c0b8885c2652a39
   category: main
   optional: false
 - name: python-ldas-tools-al
@@ -845,12 +831,12 @@ package:
     __glibc: '>=2.17,<3.0.a0'
     libgcc: '>=14'
     libstdcxx: '>=14'
-    python: '>=3.12,<3.13.0a0'
-    python_abi: 3.12.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/python-ldas-tools-al-2.6.11-py312hd9148b4_2.conda
+    python: '>=3.13,<3.14.0a0'
+    python_abi: 3.13.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/python-ldas-tools-al-2.6.11-py313h7037e92_2.conda
   hash:
-    md5: d0c2b9196765c45a71d079f93a4a9993
-    sha256: 2491711ae906f22f470755a348346d8af00353ba156568a46e5510056f7dd5b4
+    md5: cb0f3768d138d0bee39ac89c393e2dd6
+    sha256: f47c14e30586efc8674dcd919cb51b95471100d440751c1cc2d258b0d95c3cdb
   category: main
   optional: false
 - name: python-ldas-tools-framecpp
@@ -865,13 +851,13 @@ package:
     libgcc: '>=14'
     libstdcxx: '>=14'
     numpy: '>=1.23,<3'
-    python: '>=3.12,<3.13.0a0'
+    python: '>=3.13,<3.14.0a0'
     python-ldas-tools-al: '>=2.6.10'
-    python_abi: 3.12.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/python-ldas-tools-framecpp-2.6.14-py312h25b3ab5_9.conda
+    python_abi: 3.13.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/python-ldas-tools-framecpp-2.6.14-py313hcce9d79_9.conda
   hash:
-    md5: 85092c5eaf659f6d2e63b03ae52e3ec2
-    sha256: 0e18a73066505c458df806b5508c000c950c99293f1e34e3b9792e60d99d7ece
+    md5: 7acf2240082fd37f7f179579a2f79c7a
+    sha256: 9a3352dd2a24e4085d6d867d5969c95ad89754d9fa72875e384628861f8b0317
   category: main
   optional: false
 - name: python-nds2-client
@@ -884,23 +870,23 @@ package:
     libstdcxx: '>=14'
     nds2-client: '>=0.16.8,<0.17.0a0'
     numpy: '>=1.23,<3'
-    python: '>=3.12,<3.13.0a0'
-    python_abi: 3.12.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/python-nds2-client-0.16.12-py312hf79963d_8.conda
+    python: '>=3.13,<3.14.0a0'
+    python_abi: 3.13.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/python-nds2-client-0.16.12-py313h08cd8bf_8.conda
   hash:
-    md5: 38dbadd66c561f15d7b777f9bf5d9ea8
-    sha256: c87e135a49634d77198e8b64dcd8982935fe505a784afe497d8bf4d95f741668
+    md5: 956ba13302b912530bea6d4139ce5df6
+    sha256: f4944123cee0f67f47294a13f9ddde97fda9534beb44dccee49d19c24820e49d
   category: main
   optional: false
 - name: python_abi
-  version: '3.12'
+  version: '3.13'
   manager: conda
   platform: linux-64
   dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.12-8_cp312.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.13-8_cp313.conda
   hash:
-    md5: c3efd25ac4d74b1584d2f7a57195ddf1
-    sha256: 80677180dd3c22deb7426ca89d6203f1c7f1f256f2d5a94dc210f6e758229809
+    md5: 94305520c52a4aa3f6c2b1ff6008d9f8
+    sha256: 210bffe7b121e651419cb196a2a63687b087497595c9be9d20ebe97dd06060a7
   category: main
   optional: false
 - name: readline
@@ -917,18 +903,6 @@ package:
     sha256: 12ffde5a6f958e285aa22c191ca01bbd3d6e710aa852e00618fa6ddc59149002
   category: main
   optional: false
-- name: setuptools
-  version: 82.0.1
-  manager: conda
-  platform: linux-64
-  dependencies:
-    python: '>=3.10'
-  url: https://conda.anaconda.org/conda-forge/noarch/setuptools-82.0.1-pyh332efcf_0.conda
-  hash:
-    md5: 8e194e7b992f99a5015edbd4ebd38efd
-    sha256: 82088a6e4daa33329a30bc26dc19a98c7c1d3f05c0f73ce9845d4eab4924e9e1
-  category: main
-  optional: false
 - name: six
   version: 1.17.0
   manager: conda
@@ -987,28 +961,15 @@ package:
   manager: conda
   platform: linux-64
   dependencies:
-    libstdcxx: '>=14'
-    libgcc: '>=14'
     __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=14'
+    libstdcxx: '>=14'
   url: https://conda.anaconda.org/conda-forge/linux-64/uv-0.11.6-h0f56927_0.conda
   hash:
     md5: f78bab5fcaf462a4309c88c18def5574
     sha256: b4e119c6776d5f752f7f10a1e4810dcbcfe0a6b32cc23689b0009f93af76bf6c
   category: main
   optional: false
-- name: wheel
-  version: 0.46.3
-  manager: conda
-  platform: linux-64
-  dependencies:
-    packaging: '>=24.0'
-    python: '>=3.10'
-  url: https://conda.anaconda.org/conda-forge/noarch/wheel-0.46.3-pyhd8ed1ab_0.conda
-  hash:
-    md5: bdbd7385b4a67025ac2dba4ef8cb6a8f
-    sha256: d6cf2f0ebd5e09120c28ecba450556ce553752652d91795442f0e70f837126ae
-  category: main
-  optional: false
 - name: zstd
   version: 1.5.7
   manager: conda
diff --git a/projects/online/environment.yaml b/projects/online/environment.yaml
index 39871b879..4072c212d 100644
--- a/projects/online/environment.yaml
+++ b/projects/online/environment.yaml
@@ -3,7 +3,7 @@ channels:
   - conda-forge
 dependencies:
   # python/env management
-  - python>=3.11,<3.13
+  - python>=3.11,<3.14
   - pip
   - uv
   # C libraries not available on PyPI
diff --git a/projects/online/pyproject.toml b/projects/online/pyproject.toml
index 184767756..5c21df11f 100644
--- a/projects/online/pyproject.toml
+++ b/projects/online/pyproject.toml
@@ -7,7 +7,7 @@ authors = [
     { name = "Alec Gunny", email = "alecg@mit.edu" },
     { name = "Ethan Marx", email = "emarx@mit.edu" },
 ]
-requires-python = ">=3.11,<3.13"
+requires-python = ">=3.11,<3.14"
 license = "MIT"
 dependencies = [
     "utils",
@@ -15,12 +15,12 @@ dependencies = [
     "p_astro",
     "architectures",
     "arrakis>=0.2.0,<0.3",
-    "amplfi>=0.5.5",
+    "amplfi",
     "ml4gw>=0.7.4",
     "omegaconf>=2.3.0,<3",
-    "numpy<2.0.0",
-    "scipy<1.15",
-    "matplotlib==3.9.4",
+    "numpy>=2",
+    "scipy>=1.9",
+    "matplotlib>=3.9.4",
     "ligo-skymap>=2.4.0,<3",
     "ligo-gracedb[kafka]>=2.15.4",
     "tables>=3.9",
@@ -53,6 +53,7 @@ utils = { path = "../../libs/utils", editable = true }
 ledger = { path = "../../libs/ledger", editable = true }
 p_astro = { path = "../../libs/p_astro", editable = true }
 architectures = { path = "../../libs/architectures", editable = true }
+amplfi = { path = "../../../amplfi", editable = true }
 
 [build-system]
 requires = ["hatchling"]
diff --git a/projects/online/uv.lock b/projects/online/uv.lock
index 054b28880..e47d31155 100644
--- a/projects/online/uv.lock
+++ b/projects/online/uv.lock
@@ -1,13 +1,22 @@
 version = 1
 revision = 3
-requires-python = ">=3.11, <3.13"
+requires-python = ">=3.11, <3.14"
 resolution-markers = [
-    "python_full_version >= '3.12' and platform_machine == 'x86_64' and sys_platform == 'darwin'",
-    "python_full_version >= '3.12' and sys_platform == 'linux'",
-    "(python_full_version >= '3.12' and platform_machine != 'x86_64' and sys_platform == 'darwin') or (python_full_version >= '3.12' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version >= '3.13' and sys_platform == 'win32'",
+    "python_full_version == '3.12.*' and sys_platform == 'win32'",
+    "python_full_version < '3.12' and sys_platform == 'win32'",
+    "python_full_version >= '3.13' and sys_platform == 'emscripten'",
+    "python_full_version == '3.12.*' and sys_platform == 'emscripten'",
+    "python_full_version < '3.12' and sys_platform == 'emscripten'",
+    "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform == 'darwin'",
+    "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'darwin'",
+    "python_full_version >= '3.13' and sys_platform == 'linux'",
+    "python_full_version == '3.12.*' and sys_platform == 'linux'",
+    "(python_full_version >= '3.13' and platform_machine != 'x86_64' and sys_platform == 'darwin') or (python_full_version >= '3.13' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32')",
+    "(python_full_version == '3.12.*' and platform_machine != 'x86_64' and sys_platform == 'darwin') or (python_full_version == '3.12.*' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32')",
     "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'darwin'",
     "python_full_version < '3.12' and sys_platform == 'linux'",
-    "(python_full_version < '3.12' and platform_machine != 'x86_64' and sys_platform == 'darwin') or (python_full_version < '3.12' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "(python_full_version < '3.12' and platform_machine != 'x86_64' and sys_platform == 'darwin') or (python_full_version < '3.12' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32')",
 ]
 
 [[package]]
@@ -86,6 +95,23 @@ wheels = [
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diff --git a/projects/plots/pyproject.toml b/projects/plots/pyproject.toml
index 75d1d9516..e92d1700c 100644
--- a/projects/plots/pyproject.toml
+++ b/projects/plots/pyproject.toml
@@ -3,7 +3,7 @@ name = "plots"
 version = "0.0.1"
 description = "Aframe performance summary plots"
 authors = [{ name = "Alec Gunny" }]
-requires-python = ">=3.10,<3.13"
+requires-python = ">=3.11,<3.14"
 dependencies = [
     "bokeh~=3.0",
     "scipy~=1.7",
@@ -17,7 +17,7 @@ dependencies = [
     "lalsuite~=7.19",
     "jsonargparse>=4.27.4,<5",
     "omegaconf~=2.2",
-    "urllib3>=1.25.4,<1.27",
+    "urllib3>=2",
 ]
 
 [project.scripts]
diff --git a/projects/plots/uv.lock b/projects/plots/uv.lock
index d7ba60192..31b62472a 100644
--- a/projects/plots/uv.lock
+++ b/projects/plots/uv.lock
@@ -1,10 +1,9 @@
 version = 1
 revision = 3
-requires-python = ">=3.10, <3.13"
+requires-python = ">=3.11, <3.14"
 resolution-markers = [
     "python_full_version >= '3.12'",
-    "python_full_version == '3.11.*'",
-    "python_full_version < '3.11'",
+    "python_full_version < '3.12'",
 ]
 
 [[package]]
@@ -34,21 +33,21 @@ requires-dist = [
     { name = "kr8s", specifier = ">=0.10.0,<0.11" },
     { name = "law", specifier = ">=0.1.20" },
     { name = "luigi", specifier = "~=3.0" },
-    { name = "ml4gw-hermes", specifier = ">=0.2.1" },
-    { name = "numpy", specifier = ">=1.26.4,<2" },
+    { name = "ml4gw-hermes", git = "https://github.com/ML4GW/hermes?branch=dev" },
+    { name = "numpy", specifier = ">=2" },
     { name = "psutil", specifier = ">=5.9.8,<6" },
     { name = "pykube-ng", extras = ["oidc"], specifier = ">=23.6.0,<24" },
-    { name = "spython", specifier = ">=0.2,<0.3" },
+    { name = "spython", specifier = ">=0.3" },
     { name = "utils", editable = "../../libs/utils" },
 ]
 
 [package.metadata.requires-dev]
 dev = [
-    { name = "conda-lock", specifier = ">=2.5.1,<3" },
-    { name = "jupyter", specifier = ">=1.0.0,<2" },
-    { name = "pre-commit", specifier = ">=3.7.0,<4" },
+    { name = "conda-lock", specifier = ">=4" },
+    { name = "prek", specifier = ">=0.1" },
 ]
 docs = [
+    { name = "jupyter", specifier = ">=1.0.0,<2" },
     { name = "linkify-it-py", specifier = ">=2.0.3,<3" },
     { name = "myst-parser", specifier = ">=2.0.0,<3" },
     { name = "sphinx", specifier = ">5.0" },
@@ -92,7 +91,6 @@ source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiohappyeyeballs" },
     { name = "aiosignal" },
-    { name = "async-timeout", marker = "python_full_version < '3.11'" },
     { name = "attrs" },
     { name = "frozenlist" },
     { name = "multidict" },
@@ -101,22 +99,6 @@ dependencies = [
 ]
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diff --git a/projects/train/pyproject.toml b/projects/train/pyproject.toml
index d81f1834a..6dd50ea0b 100644
--- a/projects/train/pyproject.toml
+++ b/projects/train/pyproject.toml
@@ -7,20 +7,20 @@ authors = [
     { name = "Alec Gunny", email = "alecg@mit.edu" },
     { name = "Will Benoit", email = "benoit090@umn.edu" },
 ]
-requires-python = ">=3.10,<3.13"
+requires-python = ">=3.11,<3.14"
 readme = "README.md"
 license = "MIT"
 dependencies = [
     "torchmetrics>=0.11,<0.12",
-    "torch==2.5.0",
-    "lightning==2.2.1",
+    "torch>=2.5.0",
+    "lightning>=2.2.1",
     "jsonargparse[signatures]~=4.29",
     "wandb>=0.15",
     "bokeh~=3.0",
     "ray[default, tune]>=2.8.0,<3",
     "boto3~=1.30",
     "fsspec[s3]>=2024,<2025",
-    "urllib3>=1.25.4,<1.27",
+    "urllib3>=2",
     "utils",
     "ml4gw>=0.8.0",
     "aframe",
diff --git a/projects/train/uv.lock b/projects/train/uv.lock
index c8d33f285..6a28d2c0c 100644
--- a/projects/train/uv.lock
+++ b/projects/train/uv.lock
@@ -1,16 +1,16 @@
 version = 1
 revision = 3
-requires-python = ">=3.10, <3.13"
+requires-python = ">=3.11, <3.14"
 resolution-markers = [
-    "python_full_version >= '3.12' and platform_machine == 'x86_64' and sys_platform == 'darwin'",
-    "python_full_version >= '3.12' and sys_platform == 'linux'",
-    "(python_full_version >= '3.12' and platform_machine != 'x86_64' and sys_platform == 'darwin') or (python_full_version >= '3.12' and sys_platform != 'darwin' and sys_platform != 'linux')",
-    "python_full_version == '3.11.*' and platform_machine == 'x86_64' and sys_platform == 'darwin'",
-    "python_full_version < '3.11' and platform_machine == 'x86_64' and sys_platform == 'darwin'",
-    "python_full_version == '3.11.*' and sys_platform == 'linux'",
-    "python_full_version < '3.11' and sys_platform == 'linux'",
-    "(python_full_version == '3.11.*' and platform_machine != 'x86_64' and sys_platform == 'darwin') or (python_full_version == '3.11.*' and sys_platform != 'darwin' and sys_platform != 'linux')",
-    "(python_full_version < '3.11' and platform_machine != 'x86_64' and sys_platform == 'darwin') or (python_full_version < '3.11' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform == 'darwin'",
+    "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'darwin'",
+    "python_full_version >= '3.13' and sys_platform == 'linux'",
+    "python_full_version == '3.12.*' and sys_platform == 'linux'",
+    "(python_full_version >= '3.13' and platform_machine != 'x86_64' and sys_platform == 'darwin') or (python_full_version >= '3.13' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "(python_full_version == '3.12.*' and platform_machine != 'x86_64' and sys_platform == 'darwin') or (python_full_version == '3.12.*' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'darwin'",
+    "python_full_version < '3.12' and sys_platform == 'linux'",
+    "(python_full_version < '3.12' and platform_machine != 'x86_64' and sys_platform == 'darwin') or (python_full_version < '3.12' and sys_platform != 'darwin' and sys_platform != 'linux')",
 ]
 
 [[package]]
@@ -40,21 +40,21 @@ requires-dist = [
     { name = "kr8s", specifier = ">=0.10.0,<0.11" },
     { name = "law", specifier = ">=0.1.20" },
     { name = "luigi", specifier = "~=3.0" },
-    { name = "ml4gw-hermes", specifier = ">=0.2.1" },
-    { name = "numpy", specifier = ">=1.26.4,<2" },
+    { name = "ml4gw-hermes", git = "https://github.com/ML4GW/hermes?branch=dev" },
+    { name = "numpy", specifier = ">=2" },
     { name = "psutil", specifier = ">=5.9.8,<6" },
     { name = "pykube-ng", extras = ["oidc"], specifier = ">=23.6.0,<24" },
-    { name = "spython", specifier = ">=0.2,<0.3" },
+    { name = "spython", specifier = ">=0.3" },
     { name = "utils", editable = "../../libs/utils" },
 ]
 
 [package.metadata.requires-dev]
 dev = [
-    { name = "conda-lock", specifier = ">=2.5.1,<3" },
-    { name = "jupyter", specifier = ">=1.0.0,<2" },
-    { name = "pre-commit", specifier = ">=3.7.0,<4" },
+    { name = "conda-lock", specifier = ">=4" },
+    { name = "prek", specifier = ">=0.1" },
 ]
 docs = [
+    { name = "jupyter", specifier = ">=1.0.0,<2" },
     { name = "linkify-it-py", specifier = ">=2.0.3,<3" },
     { name = "myst-parser", specifier = ">=2.0.0,<3" },
     { name = "sphinx", specifier = ">5.0" },
@@ -98,7 +98,6 @@ source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiohappyeyeballs" },
     { name = "aiosignal" },
-    { name = "async-timeout", marker = "python_full_version < '3.11'" },
     { name = "attrs" },
     { name = "frozenlist" },
     { name = "multidict" },
@@ -107,22 +106,6 @@ dependencies = [
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diff --git a/pyproject.toml b/pyproject.toml
index b4b3c2f3c..af9597af0 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -7,17 +7,17 @@ authors = [
     { name = "William Benoit", email = "benoi090@umn.edu" },
     { name = "Alec Gunny", email = "alec.gunny@ligo.org" },
 ]
-requires-python = ">=3.10,<3.13"
+requires-python = ">=3.11,<3.14"
 dependencies = [
     "luigi~=3.0",
     "utils",
-    "ml4gw-hermes>=0.2.1",
+    "ml4gw-hermes",
     "law>=0.1.20",
     "kr8s>=0.10.0,<0.11",
     "pykube-ng[oidc]>=23.6.0,<24",
-    "spython>=0.2,<0.3",
+    "spython>=0.3",
     "boto3>=1.34.4,<2",
-    "numpy>=1.26.4,<2",
+    "numpy>=2",
     "cloudpathlib>=0.18.1,<0.19",
     "psutil>=5.9.8,<6",
     "jsonargparse>=4.27.1,<5",
@@ -29,9 +29,8 @@ aframe-init = "scripts.aframe_init:main"
 
 [dependency-groups]
 dev = [
-    "jupyter>=1.0.0,<2",
-    "conda-lock>=2.5.1,<3",
-    "pre-commit>=3.7.0,<4",
+    "conda-lock>=4",
+    "prek>=0.1",
 ]
 docs = [
     "Sphinx>5.0",
@@ -40,6 +39,7 @@ docs = [
     "sphinx-autodoc-typehints>=2.0.0,<3",
     "linkify-it-py>=2.0.3,<3",
     "sphinx-tabs>=3.4.7,<4",
+    "jupyter>=1.0.0,<2",
 ]
 
 [tool.uv]
@@ -50,6 +50,8 @@ default-groups = [
 
 [tool.uv.sources]
 utils = { path = "./libs/utils", editable = true }
+# TODO: point at released version once available
+ml4gw-hermes = { git = "https://github.com/ML4GW/hermes", branch = "dev"}
 
 [build-system]
 requires = ["hatchling"]
diff --git a/uv.lock b/uv.lock
index b3700fae0..25a736590 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,10 +1,9 @@
 version = 1
 revision = 3
-requires-python = ">=3.10, <3.13"
+requires-python = ">=3.11, <3.14"
 resolution-markers = [
     "python_full_version >= '3.12'",
-    "python_full_version == '3.11.*'",
-    "python_full_version < '3.11'",
+    "python_full_version < '3.12'",
 ]
 
 [[package]]
@@ -29,10 +28,10 @@ dependencies = [
 [package.dev-dependencies]
 dev = [
     { name = "conda-lock" },
-    { name = "jupyter" },
-    { name = "pre-commit" },
+    { name = "prek" },
 ]
 docs = [
+    { name = "jupyter" },
     { name = "linkify-it-py" },
     { name = "myst-parser" },
     { name = "sphinx" },
@@ -49,21 +48,21 @@ requires-dist = [
     { name = "kr8s", specifier = ">=0.10.0,<0.11" },
     { name = "law", specifier = ">=0.1.20" },
     { name = "luigi", specifier = "~=3.0" },
-    { name = "ml4gw-hermes", specifier = ">=0.2.1" },
-    { name = "numpy", specifier = ">=1.26.4,<2" },
+    { name = "ml4gw-hermes", git = "https://github.com/ML4GW/hermes?branch=dev" },
+    { name = "numpy", specifier = ">=2" },
     { name = "psutil", specifier = ">=5.9.8,<6" },
     { name = "pykube-ng", extras = ["oidc"], specifier = ">=23.6.0,<24" },
-    { name = "spython", specifier = ">=0.2,<0.3" },
+    { name = "spython", specifier = ">=0.3" },
     { name = "utils", editable = "libs/utils" },
 ]
 
 [package.metadata.requires-dev]
 dev = [
-    { name = "conda-lock", specifier = ">=2.5.1,<3" },
-    { name = "jupyter", specifier = ">=1.0.0,<2" },
-    { name = "pre-commit", specifier = ">=3.7.0,<4" },
+    { name = "conda-lock", specifier = ">=4" },
+    { name = "prek", specifier = ">=0.1" },
 ]
 docs = [
+    { name = "jupyter", specifier = ">=1.0.0,<2" },
     { name = "linkify-it-py", specifier = ">=2.0.3,<3" },
     { name = "myst-parser", specifier = ">=2.0.0,<3" },
     { name = "sphinx", specifier = ">5.0" },
@@ -107,7 +106,6 @@ source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiohappyeyeballs" },
     { name = "aiosignal" },
-    { name = "async-timeout", marker = "python_full_version < '3.11'" },
     { name = "attrs" },
     { name = "frozenlist" },
     { name = "multidict" },
@@ -116,22 +114,6 @@ dependencies = [
 ]
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From 0bcf0aaf8002ec022c259238f682a1eb5ec073d8 Mon Sep 17 00:00:00 2001
From: William Benoit <benoi090@umn.edu>
Date: Sun, 12 Apr 2026 14:34:53 -0500
Subject: [PATCH 14/27] Add ruff checks

---
 pyproject.toml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pyproject.toml b/pyproject.toml
index af9597af0..d6cc847c2 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -65,7 +65,7 @@ extend-exclude = ["docs"]
 [tool.ruff.lint]
 extend-safe-fixes = ["C408"]
 mccabe = {"max-complexity" = 18}
-select = ["B", "C", "E", "F", "W", "B9"]
+select = ["B", "C", "E", "F", "W", "I", "UP", "B9"]
 # ignore W605 and E203 for consistency with black
 # ignore F722 for compatibility with jaxtyping
 ignore = ["W605", "E203", "F722"]

From 13e849c11145bf4e5080a2101aa2c7f373e602be Mon Sep 17 00:00:00 2001
From: William Benoit <benoi090@umn.edu>
Date: Sun, 12 Apr 2026 15:26:50 -0500
Subject: [PATCH 15/27] Update files with new checks and numpy>=2 conventions

---
 aframe/helm.py                                |  5 +-
 aframe/parameters.py                          |  3 +-
 aframe/tasks/data/__init__.py                 |  6 +-
 aframe/tasks/data/fetch.py                    |  3 +-
 aframe/tasks/data/waveforms/testing.py        |  7 +--
 aframe/tasks/data/waveforms/training.py       |  2 +-
 aframe/tasks/data/waveforms/validation.py     |  1 -
 aframe/tasks/infer/base.py                    |  3 +-
 aframe/tasks/infer/infer.py                   |  2 +-
 aframe/tasks/train/base.py                    |  6 +-
 aframe/tasks/train/train.py                   |  7 +--
 aframe/tasks/train/tune.py                    |  2 +-
 aframe/tasks/train/utils.py                   | 11 ++--
 .../architectures/autoencoder.py              |  8 +--
 .../architectures/networks/s4.py              |  7 +--
 .../architectures/networks/wavenet.py         |  8 +--
 .../architectures/networks/xylophone.py       |  5 +-
 .../architectures/architectures/supervised.py | 37 ++++++------
 libs/ledger/ledger/injections.py              | 42 +++++--------
 libs/ledger/ledger/ledger.py                  | 29 ++++-----
 libs/ledger/tests/conftest.py                 |  1 -
 libs/ledger/tests/test_events.py              |  3 +-
 libs/ledger/tests/test_injections.py          |  1 -
 libs/ledger/tests/test_ledger.py              |  5 +-
 libs/p_astro/p_astro/background.py            |  7 +--
 libs/p_astro/p_astro/foreground.py            |  3 +-
 libs/p_astro/tests/conftest.py                |  7 +--
 libs/p_astro/tests/test_background.py         |  3 +-
 libs/p_astro/tests/test_foreground.py         |  3 +-
 libs/p_astro/tests/test_p_astro.py            |  3 +-
 libs/priors/priors/priors.py                  |  2 +-
 libs/priors/priors/utils.py                   |  5 +-
 libs/utils/tests/test_cosmology.py            |  6 +-
 libs/utils/tests/test_data.py                 |  4 +-
 libs/utils/tests/test_logging.py              |  1 -
 libs/utils/tests/test_preprocessing.py        |  4 +-
 libs/utils/utils/preprocessing.py             | 13 ++--
 libs/utils/utils/s3.py                        |  4 +-
 projects/data/data/cli.py                     |  2 +-
 projects/data/data/fetch/cli.py               |  3 +-
 projects/data/data/fetch/fetch.py             |  4 +-
 projects/data/data/segments/cli.py            |  7 +--
 projects/data/data/segments/main.py           |  4 +-
 projects/data/data/segments/segments.py       |  6 +-
 projects/data/data/waveforms/cli.py           |  3 +-
 projects/data/data/waveforms/rejection.py     | 13 ++--
 projects/data/data/waveforms/testing.py       | 18 +++---
 projects/data/data/waveforms/training.py      |  2 +-
 projects/data/data/waveforms/utils.py         | 16 ++---
 projects/export/export/cli.py                 |  2 +-
 projects/export/export/main.py                | 13 ++--
 projects/export/export/remote/cli.py          |  2 +-
 projects/export/export/remote/main.py         | 13 ++--
 projects/export/export/snapshotter.py         |  6 +-
 projects/export/tests/test_export.py          |  7 ++-
 projects/infer/infer/cli.py                   |  2 +-
 projects/infer/infer/data.py                  |  6 +-
 projects/infer/infer/main.py                  | 15 ++---
 projects/infer/infer/postprocess.py           |  5 +-
 projects/online/online/cli.py                 |  1 +
 projects/online/online/dataloading/ngdd.py    | 12 ++--
 projects/online/online/dataloading/offline.py | 29 ++++-----
 projects/online/online/dataloading/online.py  | 60 ++++++++-----------
 projects/online/online/dataloading/utils.py   | 10 ++--
 projects/online/online/main.py                | 58 +++++++++---------
 projects/online/online/monitor/cli.py         |  7 +--
 projects/online/online/monitor/main.py        |  2 +-
 .../online/online/monitor/pages/summary.py    | 12 ++--
 .../online/online/monitor/utils/parse_logs.py | 19 +++---
 .../online/online/monitor/utils/plotting.py   | 20 +++----
 .../online/online/subprocesses/__init__.py    |  8 +--
 projects/online/online/subprocesses/amplfi.py | 15 +++--
 .../online/subprocesses/authenticate.py       |  7 ++-
 projects/online/online/subprocesses/events.py |  2 +-
 projects/online/online/subprocesses/logger.py | 13 ++--
 .../online/online/subprocesses/p_astro.py     | 10 ++--
 projects/online/online/subprocesses/utils.py  |  9 ++-
 projects/online/online/utils/email_alerts.py  |  5 +-
 projects/online/online/utils/gdb.py           | 19 +++---
 projects/online/online/utils/pe.py            |  9 +--
 projects/online/online/utils/searcher.py      | 28 ++++-----
 projects/online/online/utils/snapshotter.py   |  1 -
 projects/plots/plots/legacy/gwtc3.py          | 18 +++---
 projects/plots/plots/legacy/main.py           | 20 +++----
 projects/plots/plots/vetos/vetos.py           |  6 +-
 projects/plots/plots/vizapp/app.py            | 17 +++---
 projects/plots/plots/vizapp/data.py           |  5 +-
 projects/plots/plots/vizapp/infer/analyzer.py | 12 ++--
 projects/plots/plots/vizapp/infer/utils.py    |  5 +-
 .../vizapp/pages/analysis/distribution.py     |  9 +--
 .../plots/vizapp/pages/analysis/inspector.py  |  3 +-
 projects/plots/plots/vizapp/pages/page.py     |  2 +-
 .../plots/plots/vizapp/pages/summary/gwtc3.py | 18 +++---
 .../plots/plots/vizapp/pages/summary/sv.py    |  6 +-
 projects/train/tests/test_augmentations.py    |  1 -
 projects/train/train/augmentations.py         | 20 +++----
 projects/train/train/callbacks.py             |  3 +-
 projects/train/train/data/base.py             | 31 ++++------
 .../train/train/data/supervised/__init__.py   |  3 +
 .../train/train/data/supervised/supervised.py |  6 +-
 projects/train/train/data/utils/fs.py         | 13 ++--
 .../train/data/waveforms/generator/cbc.py     |  2 +-
 .../data/waveforms/generator/generator.py     |  4 +-
 projects/train/train/data/waveforms/loader.py | 20 +++----
 .../train/train/data/waveforms/sampler.py     |  6 +-
 projects/train/train/metrics.py               |  4 +-
 projects/train/train/model/base.py            |  3 +-
 projects/train/train/model/supervised.py      |  2 +-
 projects/train/train/prior.py                 |  6 +-
 scripts/aframe_init.py                        |  3 +-
 scripts/build_containers.py                   |  7 +--
 111 files changed, 465 insertions(+), 564 deletions(-)

diff --git a/aframe/helm.py b/aframe/helm.py
index 191655c01..7953122ce 100644
--- a/aframe/helm.py
+++ b/aframe/helm.py
@@ -5,7 +5,6 @@
 import logging
 import subprocess
 import time
-from typing import Dict, List, Optional
 
 import kr8s
 
@@ -51,7 +50,7 @@ def install(self):
             logging.error(f"Error installing helm chart: {e}")
             raise
 
-    def build_command(self, values: Dict[str, str]) -> List[str]:
+    def build_command(self, values: dict[str, str]) -> list[str]:
         for k, v in values.items():
             self.base_cmd += ["--set", f"{k}={v}"]
 
@@ -75,7 +74,7 @@ class RayCluster(HelmChart):
     def __init__(
         self,
         release: str,
-        chart_path: Optional[str] = None,
+        chart_path: str | None = None,
         chart_version: str = "0.1.3",
     ):
         # if no chart path is provided, use the chart
diff --git a/aframe/parameters.py b/aframe/parameters.py
index a0a0b1a93..bdbbc24a4 100644
--- a/aframe/parameters.py
+++ b/aframe/parameters.py
@@ -1,11 +1,10 @@
 import importlib
 from pathlib import Path
-from typing import Union
 
 import luigi
 from cloudpathlib import CloudPath
 
-PATH_LIKE = Union[CloudPath, Path, str]
+PATH_LIKE = CloudPath | Path | str
 
 
 class PathParameter(luigi.Parameter):
diff --git a/aframe/tasks/data/__init__.py b/aframe/tasks/data/__init__.py
index 3a64b09e1..c67a0cc56 100644
--- a/aframe/tasks/data/__init__.py
+++ b/aframe/tasks/data/__init__.py
@@ -8,4 +8,8 @@
 ]
 from .fetch import Fetch  # noqa: E402
 from .segments import Query  # noqa: E402
-from .waveforms import TestingWaveforms, TrainingWaveforms, ValidationWaveforms  # noqa: E402
+from .waveforms import (  # noqa: E402
+    TestingWaveforms,
+    TrainingWaveforms,
+    ValidationWaveforms,
+)
diff --git a/aframe/tasks/data/fetch.py b/aframe/tasks/data/fetch.py
index e8e990678..1a99bd7d4 100644
--- a/aframe/tasks/data/fetch.py
+++ b/aframe/tasks/data/fetch.py
@@ -74,13 +74,12 @@ def output(self):
         start, duration = self.branch_data
         start = int(float(start))
         duration = int(float(duration))
-        fname = "{}-{}-{}.hdf5".format(self.prefix, start, duration)
+        fname = f"{self.prefix}-{start}-{duration}.hdf5"
         fname = self.data_dir / fname
         return s3_or_local(fname)
 
     def run(self):
         import h5py
-
         from data.fetch.fetch import fetch
 
         start, duration = self.branch_data
diff --git a/aframe/tasks/data/waveforms/testing.py b/aframe/tasks/data/waveforms/testing.py
index 46a321958..8453bfbc9 100644
--- a/aframe/tasks/data/waveforms/testing.py
+++ b/aframe/tasks/data/waveforms/testing.py
@@ -1,10 +1,11 @@
 import shutil
 from pathlib import Path
-from typing import Dict, Literal
+from typing import Literal
 
 import law
 import luigi
 from luigi.util import inherits
+from utils import data as data_utils
 
 from aframe.config import paths
 from aframe.parameters import PathParameter, load_prior
@@ -12,9 +13,8 @@
 from aframe.tasks.data.condor.workflows import StaticMemoryWorkflow
 from aframe.tasks.data.fetch import FetchTest
 from aframe.tasks.data.waveforms.base import WaveformParams
-from utils import data as data_utils
 
-TsWorkflowRequires = Dict[Literal["test_segments"], law.Task]
+TsWorkflowRequires = dict[Literal["test_segments"], law.Task]
 
 
 class TestingWaveformsParams(WaveformParams):
@@ -173,7 +173,6 @@ def run(self):
         import io
 
         import h5py
-
         from data.waveforms.testing import testing_waveforms
 
         prior = load_prior(self.prior)
diff --git a/aframe/tasks/data/waveforms/training.py b/aframe/tasks/data/waveforms/training.py
index bd1a2d2c0..572378d9e 100644
--- a/aframe/tasks/data/waveforms/training.py
+++ b/aframe/tasks/data/waveforms/training.py
@@ -1,5 +1,5 @@
-from pathlib import Path
 import shutil
+from pathlib import Path
 
 import law
 from luigi.util import inherits
diff --git a/aframe/tasks/data/waveforms/validation.py b/aframe/tasks/data/waveforms/validation.py
index acf30c0e8..f868da199 100644
--- a/aframe/tasks/data/waveforms/validation.py
+++ b/aframe/tasks/data/waveforms/validation.py
@@ -101,7 +101,6 @@ def run(self):
         import io
 
         import h5py
-
         from data.waveforms.rejection import rejection_sample
         from data.waveforms.utils import load_psds
         from ledger.injections import WaveformSet, waveform_class_factory
diff --git a/aframe/tasks/infer/base.py b/aframe/tasks/infer/base.py
index 46766a769..ecd3989bc 100644
--- a/aframe/tasks/infer/base.py
+++ b/aframe/tasks/infer/base.py
@@ -7,9 +7,9 @@
 import law
 import luigi
 import numpy as np
+import utils.data as data_utils
 from luigi.util import inherits
 
-import utils.data as data_utils
 from aframe.base import AframeSingularityTask
 from aframe.config import paths
 from aframe.parameters import PathParameter
@@ -202,7 +202,6 @@ def output(self):
 
     def run(self):
         from hermes.aeriel.client import InferenceClient
-
         from infer.data import Sequence
         from infer.main import infer
         from infer.postprocess import Postprocessor
diff --git a/aframe/tasks/infer/infer.py b/aframe/tasks/infer/infer.py
index e92808099..946d92936 100644
--- a/aframe/tasks/infer/infer.py
+++ b/aframe/tasks/infer/infer.py
@@ -194,7 +194,7 @@ def get_metadata(self):
         foreground_lengths = np.zeros(num_files)
         shifts = np.zeros((num_files, len(self.shifts)))
         for i, f in enumerate(files):
-            with open(f, "r") as f:
+            with open(f) as f:
                 data = json.load(f)
             background_lengths[i] = data["background_length"]
             foreground_lengths[i] = data["foreground_length"]
diff --git a/aframe/tasks/train/base.py b/aframe/tasks/train/base.py
index bf0b40a11..71c8ff707 100644
--- a/aframe/tasks/train/base.py
+++ b/aframe/tasks/train/base.py
@@ -1,5 +1,3 @@
-from typing import List
-
 import law
 import luigi
 from luigi.util import inherits
@@ -86,7 +84,7 @@ def requires(self):
             reqs["train_waveforms"] = TrainingWaveforms.req(self)
         return reqs
 
-    def configure_wandb(self, args: List[str]) -> None:
+    def configure_wandb(self, args: list[str]) -> None:
         # note that we append the wandb logger
         # so that we always use csv file to store metrics
         args.append("--trainer.logger+=WandbLogger")
@@ -103,7 +101,7 @@ def configure_wandb(self, args: List[str]) -> None:
                     args.append(f"--trainer.logger.{key}+={v}")
         return args
 
-    def configure_data_args(self, args: List[str]) -> None:
+    def configure_data_args(self, args: list[str]) -> None:
         # configure ONLY the data arguments that
         # are shared by multiple tasks so that we can specify them
         # in one place (the aframe config) and have them overwrite
diff --git a/aframe/tasks/train/train.py b/aframe/tasks/train/train.py
index aefcbab37..f9a173909 100644
--- a/aframe/tasks/train/train.py
+++ b/aframe/tasks/train/train.py
@@ -3,7 +3,6 @@
 import shlex
 import sys
 from pathlib import Path
-from typing import Dict
 
 import law
 import luigi
@@ -25,7 +24,7 @@ class TrainLocal(TrainBase, AframeSingularityTask):
     def default_image(self):
         return "train.sif"
 
-    def sandbox_env(self, _) -> Dict[str, str]:
+    def sandbox_env(self, _) -> dict[str, str]:
         env = super().sandbox_env(_)
         for key in ["name", "entity", "project", "group", "tags", "api_key"]:
             value = getattr(wandb(), key)
@@ -103,7 +102,7 @@ def get_config(self):
         # read in training config into a json string
         # to pass to the remote training job via
         # the jsonargparse command line
-        with open(self.config, "r") as f:
+        with open(self.config) as f:
             doc = yaml.safe_load(f)
             json_string = json.dumps(doc)
         return json_string
@@ -170,7 +169,7 @@ def git_secret(self):
             "metadata": {"name": "git-creds", "type": "Opaque"},
         }
         ssh_key = Path.home() / ".ssh" / "id_rsa"
-        with open(ssh_key, "r") as f:
+        with open(ssh_key) as f:
             key = f.read()
 
         ssh_key = base64.b64encode(key.encode("ascii")).decode("ascii")
diff --git a/aframe/tasks/train/tune.py b/aframe/tasks/train/tune.py
index 294f64eff..347e4d62c 100644
--- a/aframe/tasks/train/tune.py
+++ b/aframe/tasks/train/tune.py
@@ -76,7 +76,7 @@ def use_wandb(self):
 
     def configure_cluster(self, cluster: "RayCluster"):
         # get ssh key for git-sync init container
-        with open(ssh().ssh_file, "r") as f:
+        with open(ssh().ssh_file) as f:
             ssh_key = f.read()
 
         secret = s3().get_s3_credentials()
diff --git a/aframe/tasks/train/utils.py b/aframe/tasks/train/utils.py
index 0ef832d3f..206ed311b 100644
--- a/aframe/tasks/train/utils.py
+++ b/aframe/tasks/train/utils.py
@@ -4,7 +4,6 @@
 import sys
 from queue import Queue
 from threading import Thread
-from typing import List
 
 
 def read_stream(stream, process, q):
@@ -34,7 +33,7 @@ def stream_process(process):
             sys.stdout.write(line)
 
 
-def stream_command(command: List[str]):
+def stream_command(command: list[str]):
     process = subprocess.Popen(
         command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, env=os.environ
     )
@@ -43,9 +42,7 @@ def stream_command(command: List[str]):
     process.wait()
     if process.returncode:
         raise RuntimeError(
-            "Command '{}' failed with return code {} and stderr:\n{}".format(
-                shlex.join(command),
-                process.returncode,
-                process.stderr.read().decode(),
-            )
+            f"Command '{shlex.join(command)}' failed with return code "
+            f"{process.returncode} and "
+            f"stderr:\n{process.stderr.read().decode()}"
         ) from None
diff --git a/libs/architectures/architectures/autoencoder.py b/libs/architectures/architectures/autoencoder.py
index af836622c..3eff73759 100644
--- a/libs/architectures/architectures/autoencoder.py
+++ b/libs/architectures/architectures/autoencoder.py
@@ -1,11 +1,11 @@
 from collections.abc import Callable, Sequence
-from typing import Optional
 
 import torch
-from architectures import Architecture
 from jaxtyping import Float
 from ml4gw.nn.autoencoder import ConvolutionalAutoencoder, SkipConnection
 
+from architectures import Architecture
+
 Tensor = Float[torch.Tensor, "batch channels time"]
 Module = Callable[..., torch.nn.Module]
 
@@ -41,9 +41,9 @@ def __init__(
         kernel_size: int,
         stride: int = 1,
         activation: torch.nn.Module = torch.nn.ReLU,
-        output_activation: Optional[torch.nn.Module] = None,
+        output_activation: torch.nn.Module | None = None,
         norm: Module = torch.nn.BatchNorm1d,
-        skip_connection: Optional[SkipConnection] = None,
+        skip_connection: SkipConnection | None = None,
     ) -> None:
         super().__init__(
             in_channels=num_ifos,
diff --git a/libs/architectures/architectures/networks/s4.py b/libs/architectures/architectures/networks/s4.py
index b295c6de7..d353fffac 100644
--- a/libs/architectures/architectures/networks/s4.py
+++ b/libs/architectures/architectures/networks/s4.py
@@ -7,7 +7,6 @@
 """
 
 import math
-from typing import Optional
 
 import torch
 import torch.nn as nn
@@ -22,7 +21,7 @@ def __init__(self, p: float = 0.5, tie=True, transposed=True):
         super().__init__()
         if p < 0 or p >= 1:
             raise ValueError(
-                "dropout probability has to be in [0, 1), but got {}".format(p)
+                f"dropout probability has to be in [0, 1), but got {p}"
             )
         self.p = p
         self.tie = tie
@@ -123,7 +122,7 @@ def __init__(
         transposed: bool = True,
         dt_min: float = 0.001,
         dt_max: float = 0.1,
-        lr: Optional[float] = None,
+        lr: float | None = None,
     ):
         super().__init__()
         self.transposed = transposed
@@ -193,7 +192,7 @@ def __init__(
         prenorm: bool = False,
         dt_min: float = 0.001,
         dt_max: float = 0.1,
-        lr: Optional[float] = None,
+        lr: float | None = None,
     ):
         super().__init__()
 
diff --git a/libs/architectures/architectures/networks/wavenet.py b/libs/architectures/architectures/networks/wavenet.py
index 66b780b20..e51091b56 100644
--- a/libs/architectures/architectures/networks/wavenet.py
+++ b/libs/architectures/architectures/networks/wavenet.py
@@ -1,4 +1,4 @@
-from typing import Callable, Optional
+from collections.abc import Callable
 
 import numpy as np
 import torch
@@ -8,7 +8,7 @@
 
 class GatedActivation(torch.nn.Module):
     def __init__(self):
-        super(GatedActivation, self).__init__()
+        super().__init__()
         self.tanh = nn.Tanh()
         self.sig = nn.Sigmoid()
 
@@ -25,7 +25,7 @@ def __init__(
         skip_channels: int,
         dilation: int,
         kernel_size: int = 2,
-        norm_layer: Optional[Callable[..., nn.Module]] = None,
+        norm_layer: Callable[..., nn.Module] | None = None,
         last: bool = False,
     ):
         super().__init__()
@@ -93,7 +93,7 @@ def __init__(
         layers_per_block: int,
         num_blocks: int,
         kernel_size: int = 2,
-        norm_layer: Optional[NormLayer] = None,
+        norm_layer: NormLayer | None = None,
     ):
         self.norm_layer = norm_layer or GroupNorm1DGetter()
         super().__init__()
diff --git a/libs/architectures/architectures/networks/xylophone.py b/libs/architectures/architectures/networks/xylophone.py
index 230626c51..191ae4904 100644
--- a/libs/architectures/architectures/networks/xylophone.py
+++ b/libs/architectures/architectures/networks/xylophone.py
@@ -1,5 +1,4 @@
 from collections import namedtuple
-from typing import Optional
 
 import torch
 from ml4gw.nn.resnet.resnet_1d import GroupNorm1DGetter, NormLayer, convN
@@ -15,7 +14,7 @@ def __init__(
         kernel_size: int,
         stride: int = 1,
         dilation: int = 1,
-        norm_layer: Optional[NormLayer] = None,
+        norm_layer: NormLayer | None = None,
     ):
         super().__init__()
         self.conv1 = convN(inplanes, planes, kernel_size, stride, 1, dilation)
@@ -84,7 +83,7 @@ def __init__(
         self,
         num_ifos: int,
         classes: int,
-        norm_layer: Optional[NormLayer] = None,
+        norm_layer: NormLayer | None = None,
         base_channels: int = 8,
     ):
         super().__init__()
diff --git a/libs/architectures/architectures/supervised.py b/libs/architectures/architectures/supervised.py
index 991871830..a0ae7e539 100644
--- a/libs/architectures/architectures/supervised.py
+++ b/libs/architectures/architectures/supervised.py
@@ -1,12 +1,13 @@
-from typing import Literal, Optional
+from typing import Literal
 
-from architectures import Architecture
-from architectures.networks import S4Model, WaveNet, Xylophone
+import torch
 from jaxtyping import Float
 from ml4gw.nn.resnet.resnet_1d import NormLayer, ResNet1D
 from ml4gw.nn.resnet.resnet_2d import ResNet2D
 from torch import Tensor
-import torch
+
+from architectures import Architecture
+from architectures.networks import S4Model, WaveNet, Xylophone
 
 
 class SupervisedArchitecture(Architecture):
@@ -34,8 +35,8 @@ def __init__(
         zero_init_residual: bool = False,
         groups: int = 1,
         width_per_group: int = 64,
-        stride_type: Optional[list[Literal["stride", "dilation"]]] = None,
-        norm_layer: Optional[NormLayer] = None,
+        stride_type: list[Literal["stride", "dilation"]] | None = None,
+        norm_layer: NormLayer | None = None,
     ) -> None:
         super().__init__(
             num_ifos,
@@ -61,8 +62,8 @@ def __init__(
         zero_init_residual: bool = False,
         groups: int = 1,
         width_per_group: int = 64,
-        stride_type: Optional[list[Literal["stride", "dilation"]]] = None,
-        norm_layer: Optional[NormLayer] = None,
+        stride_type: list[Literal["stride", "dilation"]] | None = None,
+        norm_layer: NormLayer | None = None,
     ) -> None:
         super().__init__(
             num_ifos * 2,
@@ -83,7 +84,7 @@ def __init__(
         num_ifos: int,
         sample_rate: float,
         kernel_length: float,
-        norm_layer: Optional[NormLayer] = None,
+        norm_layer: NormLayer | None = None,
     ):
         super().__init__(
             num_ifos,
@@ -102,7 +103,7 @@ def __init__(
         layers_per_block: int,
         num_blocks: int,
         kernel_size: int = 2,
-        norm_layer: Optional[NormLayer] = None,
+        norm_layer: NormLayer | None = None,
     ):
         super().__init__(
             num_ifos,
@@ -125,8 +126,8 @@ def __init__(
         zero_init_residual: bool = False,
         groups: int = 1,
         width_per_group: int = 64,
-        stride_type: Optional[list[Literal["stride", "dilation"]]] = None,
-        norm_layer: Optional[NormLayer] = None,
+        stride_type: list[Literal["stride", "dilation"]] | None = None,
+        norm_layer: NormLayer | None = None,
     ) -> None:
         super().__init__(
             num_ifos,
@@ -154,7 +155,7 @@ def __init__(
         prenorm: bool = True,
         dt_min: float = 0.001,
         dt_max: float = 0.1,
-        lr: Optional[float] = None,
+        lr: float | None = None,
     ) -> None:
         length = int(kernel_length * sample_rate)
         super().__init__(
@@ -190,8 +191,8 @@ def __init__(
         zero_init_residual: bool = False,
         groups: int = 1,
         width_per_group: int = 64,
-        stride_type: Optional[list[Literal["stride", "dilation"]]] = None,
-        norm_layer: Optional[NormLayer] = None,
+        stride_type: list[Literal["stride", "dilation"]] | None = None,
+        norm_layer: NormLayer | None = None,
         **kwargs,
     ):
         super().__init__()
@@ -246,9 +247,9 @@ def __init__(
         zero_init_residual: bool = False,
         groups: int = 1,
         width_per_group: int = 64,
-        stride_type: Optional[list[Literal["stride", "dilation"]]] = None,
-        time_norm_layer: Optional[NormLayer] = None,
-        spec_norm_layer: Optional[NormLayer] = None,
+        stride_type: list[Literal["stride", "dilation"]] | None = None,
+        time_norm_layer: NormLayer | None = None,
+        spec_norm_layer: NormLayer | None = None,
         **kwargs,
     ):
         super().__init__()
diff --git a/libs/ledger/ledger/injections.py b/libs/ledger/ledger/injections.py
index 589972570..9aeeebb53 100644
--- a/libs/ledger/ledger/injections.py
+++ b/libs/ledger/ledger/injections.py
@@ -3,17 +3,16 @@
 
 import h5py
 import numpy as np
-from astropy.cosmology import z_at_value
-from astropy.cosmology import Cosmology
+from astropy.cosmology import Cosmology, z_at_value
 from astropy.units import Mpc
 from lalsimulation import (
     SimInspiralTransformPrecessingNewInitialConditions,
     SimInspiralTransformPrecessingWvf2PE,
 )
 from pycbc.waveform import get_td_waveform
+from utils.cosmology import DEFAULT_COSMOLOGY
 
 from ledger.ledger import PATH, Ledger, metadata, parameter, waveform
-from utils.cosmology import DEFAULT_COSMOLOGY
 
 # Solar mass in kg
 MSUN = 1.988409902147041637325262574352366540e30
@@ -404,17 +403,14 @@ def __post_init__(self):
         super().__post_init__()
         if self.num_injections < self._length:
             raise ValueError(
-                "{} has fewer total injections {} than "
-                "number of waveforms {}".format(
-                    self.__class__.__name__, self.num_injections, self._length
-                )
+                f"{self.__class__.__name__} has fewer total injections "
+                f"{self.num_injections} than number of waveforms "
+                f"{self._length}"
             )
         if self.sample_rate is None and self._length > 0:
             raise ValueError(
                 "Must specify sample rate if not "
-                "initializing {} as empty container ".format(
-                    self.__class__.__name__
-                )
+                f"initializing {self.__class__.__name__} as empty container "
             )
         elif self.sample_rate is None or not self._length:
             return
@@ -424,10 +420,8 @@ def __post_init__(self):
             duration = value.shape[-1] / self.sample_rate
             if duration != self.duration:
                 raise ValueError(
-                    "Specified waveform duration of {} but "
-                    "waveform '{}' has duration {}".format(
-                        self.duration, key, duration
-                    )
+                    f"Specified waveform duration of {self.duration} but "
+                    f"waveform '{key}' has duration {duration}"
                 )
 
     @property
@@ -689,9 +683,7 @@ def compare_metadata(cls, key, ours, theirs):
             elif not theirs:
                 return ours
             elif ours != theirs:
-                raise ValueError(
-                    "Incompatible ifos {} and {}".format(ours, theirs)
-                )
+                raise ValueError(f"Incompatible ifos {ours} and {theirs}")
             return ours
         return super().compare_metadata(key, ours, theirs)
 
@@ -757,10 +749,8 @@ class InterferometerResponseSet(WaveformSet):
     @classmethod
     def _raise_bad_shift_dim(cls, fname, dim1, dim2):
         raise ValueError(
-            "Specified shifts with {} dimensions, but "
-            "{} from file {} has {} dimensions".format(
-                dim1, cls.__name__, fname, dim2
-            )
+            f"Specified shifts with {dim1} dimensions, but "
+            f"{cls.__name__} from file {fname} has {dim2} dimensions"
         )
 
     def get_shift(self, shift):
@@ -862,13 +852,9 @@ def read(
 
                 if fshifts.shape[-1] != shifts.shape[-1]:
                     raise ValueError(
-                        "Specified {} shifts when {} ifos "
-                        "are present in {} {}".format(
-                            shifts.shape[-1],
-                            fshifts.shape[-1],
-                            cls.__name__,
-                            fname,
-                        )
+                        f"Specified {shifts.shape[-1]} shifts when "
+                        f"{fshifts.shape[-1]} ifos are present in "
+                        f"{cls.__name__} {fname}"
                     )
 
                 shift_mask = False
diff --git a/libs/ledger/ledger/ledger.py b/libs/ledger/ledger/ledger.py
index 6a679a0e1..4b9f6458e 100644
--- a/libs/ledger/ledger/ledger.py
+++ b/libs/ledger/ledger/ledger.py
@@ -101,9 +101,7 @@ def __post_init__(self):
                 _length = len(value)
             elif len(value) != _length:
                 raise ValueError(
-                    "Field {} has {} entries, expected {}".format(
-                        key, len(value), _length
-                    )
+                    f"Field {key} has {len(value)} entries, expected {_length}"
                 )
         self._length = _length or 0
 
@@ -195,8 +193,8 @@ def write(
                         f.attrs[key] = value
                 else:
                     raise TypeError(
-                        "Couldn't save unknown annotation {} "
-                        "for field {}".format(kind, key)
+                        f"Couldn't save unknown annotation {kind} "
+                        f"for field {key}"
                     )
 
     @classmethod
@@ -213,9 +211,8 @@ def _try_get(group: str, field: str):
                 return group[field]
             except KeyError:
                 raise ValueError(
-                    "{} group of archive {} has no dataset {}".format(
-                        group, f.filename, field
-                    )
+                    f"{group} group of archive {f.filename} has "
+                    f"no dataset {field}"
                 ) from None
 
         kwargs = {}
@@ -234,9 +231,7 @@ def _try_get(group: str, field: str):
                     value = None
             elif kind not in ("parameter", "waveform"):
                 raise TypeError(
-                    "Couldn't load unknown annotation {} for field {}".format(
-                        kind, key
-                    )
+                    f"Couldn't load unknown annotation {kind} for field {key}"
                 )
             else:
                 value = _try_get(kind + "s", key)
@@ -293,7 +288,7 @@ def sample_from_file(cls, fname: PATH, N: int, replace: bool = False):
             # technically faster in the replace=True case to
             # just do a randint but they're both O(10^-5)s
             # so gonna go for the simpler implementation
-            idx = np.random.choice(n, size=(N,), replace=replace)
+            idx = np.random.default_rng().choice(n, size=(N,), replace=replace)
             return cls._load_with_idx(f, idx)
 
     @classmethod
@@ -304,18 +299,16 @@ def compare_metadata(cls, key, ours, theirs):
             return ours
         elif ours != theirs:
             raise ValueError(
-                "Can't append {} with {} value {} when ours is {}".format(
-                    cls.__name__, key, theirs, ours
-                )
+                f"Can't append {cls.__name__} with {key} value {theirs} "
+                f"when ours is {ours}"
             )
         return ours
 
     def append(self, other) -> None:
         if not isinstance(other, type(self)):
             raise TypeError(
-                "unsupported operand type(s) for |: '{}' and '{}'".format(
-                    type(self), type(other)
-                )
+                f"unsupported operand type(s) for |: '{type(self)}' "
+                f"and '{type(other)}'"
             )
 
         new_dict = {}
diff --git a/libs/ledger/tests/conftest.py b/libs/ledger/tests/conftest.py
index acd7225c4..65cb2b4ca 100644
--- a/libs/ledger/tests/conftest.py
+++ b/libs/ledger/tests/conftest.py
@@ -1,5 +1,4 @@
 import pytest
-
 from ledger.injections import InterferometerResponseSet, waveform_class_factory
 
 
diff --git a/libs/ledger/tests/test_events.py b/libs/ledger/tests/test_events.py
index 2fe920701..66d687610 100644
--- a/libs/ledger/tests/test_events.py
+++ b/libs/ledger/tests/test_events.py
@@ -1,12 +1,11 @@
 import numpy as np
 import pytest
-
 from ledger import events, injections
 
 
 class TestEventSet:
     def test_append(self):
-        det_stats = np.random.randn(10)
+        det_stats = np.random.default_rng().standard_normal(10)
         times = np.arange(10)
         shifts = np.arange(10)
         obj1 = events.EventSet(det_stats, times, shifts, 100)
diff --git a/libs/ledger/tests/test_injections.py b/libs/ledger/tests/test_injections.py
index 00e7a2dd9..5a6ba64f6 100644
--- a/libs/ledger/tests/test_injections.py
+++ b/libs/ledger/tests/test_injections.py
@@ -2,7 +2,6 @@
 
 import numpy as np
 import pytest
-
 from ledger.injections import BilbyParameterSet, _WaveformGenerator
 
 
diff --git a/libs/ledger/tests/test_ledger.py b/libs/ledger/tests/test_ledger.py
index 3c44fc128..7e12827b8 100644
--- a/libs/ledger/tests/test_ledger.py
+++ b/libs/ledger/tests/test_ledger.py
@@ -3,7 +3,6 @@
 
 import numpy as np
 import pytest
-
 from ledger import ledger
 
 
@@ -152,12 +151,12 @@ class DummyWaveform(parameter_set):
 
         ids = np.array([1001, 1002, 1003])
         age = np.array([31, 35, 39])
-        waves = np.random.randn(3, 10)
+        waves = np.random.default_rng().standard_normal((3, 10))
 
         obj = DummyWaveform(ids, age, waves)
         assert len(obj) == 3
 
-        waves2 = np.random.randn(3, 10)
+        waves2 = np.random.default_rng().standard_normal((3, 10))
         obj2 = DummyWaveform(ids + 3, age - 2, waves2)
         obj.append(obj2)
         assert len(obj) == 6
diff --git a/libs/p_astro/p_astro/background.py b/libs/p_astro/p_astro/background.py
index c41711aa4..36c1706e4 100644
--- a/libs/p_astro/p_astro/background.py
+++ b/libs/p_astro/p_astro/background.py
@@ -1,11 +1,8 @@
-from typing import Optional
-
 import numpy as np
+from ledger.events import SECONDS_IN_YEAR, EventSet
 from numpy.polynomial import Polynomial
 from scipy.stats import gaussian_kde
 
-from ledger.events import SECONDS_IN_YEAR, EventSet
-
 
 class BackgroundModel:
     """
@@ -52,7 +49,7 @@ class KdeAndPolynomialBackground(BackgroundModel):
             background events
     """
 
-    def __init__(self, *args, split: Optional[float] = None, **kwargs):
+    def __init__(self, *args, split: float | None = None, **kwargs):
         self.split = split
         super().__init__(*args, **kwargs)
 
diff --git a/libs/p_astro/p_astro/foreground.py b/libs/p_astro/p_astro/foreground.py
index 340ac1c91..f94813fcc 100644
--- a/libs/p_astro/p_astro/foreground.py
+++ b/libs/p_astro/p_astro/foreground.py
@@ -1,9 +1,8 @@
 import numpy as np
 from astropy.cosmology import Cosmology
-from scipy.stats import gaussian_kde
-
 from ledger.events import RecoveredInjectionSet
 from ledger.injections import InjectionParameterSet
+from scipy.stats import gaussian_kde
 from utils.cosmology import DEFAULT_COSMOLOGY, get_astrophysical_volume
 
 
diff --git a/libs/p_astro/tests/conftest.py b/libs/p_astro/tests/conftest.py
index db74cc99c..f3610400f 100644
--- a/libs/p_astro/tests/conftest.py
+++ b/libs/p_astro/tests/conftest.py
@@ -1,6 +1,5 @@
 import numpy as np
 import pytest
-
 from ledger.events import EventSet, RecoveredInjectionSet
 from ledger.injections import InjectionParameterSet
 
@@ -9,7 +8,7 @@
 def events():
     return EventSet(
         detection_time=np.arange(1000),
-        detection_statistic=np.random.randn(1000),
+        detection_statistic=np.random.default_rng().standard_normal(1000),
         shift=np.zeros(1000),
         Tb=10,
     )
@@ -19,7 +18,7 @@ def events():
 def foreground():
     foreground = {}
     for field in RecoveredInjectionSet.__dataclass_fields__:
-        foreground[field] = np.random.randn(1000)
+        foreground[field] = np.random.default_rng().standard_normal(1000)
 
     foreground["num_injections"] = 1000
     foreground["redshift"] = np.linspace(0, 1, 1000)
@@ -30,7 +29,7 @@ def foreground():
 def rejected():
     rejected = {}
     for field in InjectionParameterSet.__dataclass_fields__:
-        rejected[field] = np.random.randn(1000)
+        rejected[field] = np.random.default_rng().standard_normal(1000)
 
     rejected["redshift"] = np.linspace(0, 1, 1000)
     return InjectionParameterSet(**rejected)
diff --git a/libs/p_astro/tests/test_background.py b/libs/p_astro/tests/test_background.py
index 0e20ae28f..25bca8c04 100644
--- a/libs/p_astro/tests/test_background.py
+++ b/libs/p_astro/tests/test_background.py
@@ -2,7 +2,6 @@
 import tempfile
 
 import numpy as np
-
 from p_astro.background import KdeAndPolynomialBackground
 
 
@@ -23,6 +22,6 @@ def test_background(events):
         with open(temp_file.name, "rb") as f:
             loaded = pickle.load(f)
 
-        test = np.random.randn(1000)
+        test = np.random.default_rng().standard_normal(1000)
         assert np.allclose(model(test), loaded(test))
         assert test.shape == loaded(test).shape
diff --git a/libs/p_astro/tests/test_foreground.py b/libs/p_astro/tests/test_foreground.py
index de88466fd..5c26bd091 100644
--- a/libs/p_astro/tests/test_foreground.py
+++ b/libs/p_astro/tests/test_foreground.py
@@ -2,7 +2,6 @@
 import tempfile
 
 import numpy as np
-
 from p_astro.foreground import KdeForeground
 
 
@@ -23,6 +22,6 @@ def test_foreground(foreground, rejected, astro_event_rate):
         with open(temp_file.name, "rb") as f:
             loaded = pickle.load(f)
 
-        test = np.random.randn(1000)
+        test = np.random.default_rng().standard_normal(1000)
         assert np.allclose(model(test), loaded(test))
         assert test.shape == loaded(test).shape
diff --git a/libs/p_astro/tests/test_p_astro.py b/libs/p_astro/tests/test_p_astro.py
index 9483b1dd0..bdaf90f99 100644
--- a/libs/p_astro/tests/test_p_astro.py
+++ b/libs/p_astro/tests/test_p_astro.py
@@ -2,7 +2,6 @@
 import tempfile
 
 import numpy as np
-
 from p_astro import Pastro
 from p_astro.background import KdeAndPolynomialBackground
 from p_astro.foreground import KdeForeground
@@ -25,6 +24,6 @@ def test_pastro(events, foreground, rejected, astro_event_rate):
         with open(temp_file.name, "rb") as f:
             loaded = pickle.load(f)
 
-        test = np.random.randn(1000)
+        test = np.random.default_rng().standard_normal(1000)
         assert np.allclose(pastro(test), loaded(test))
         assert test.shape == loaded(test).shape
diff --git a/libs/priors/priors/priors.py b/libs/priors/priors/priors.py
index 9220783c3..0b2ec60bb 100644
--- a/libs/priors/priors/priors.py
+++ b/libs/priors/priors/priors.py
@@ -16,13 +16,13 @@
     Uniform,
 )
 from bilby.gw.prior import UniformComovingVolume, UniformSourceFrame
+from utils.cosmology import DEFAULT_COSMOLOGY
 
 from priors.utils import (
     mass_condition_powerlaw,
     mass_condition_uniform,
     mass_constraints,
 )
-from utils.cosmology import DEFAULT_COSMOLOGY
 
 # Unit names
 msun = r"$M_{\odot}$"
diff --git a/libs/priors/priors/utils.py b/libs/priors/priors/utils.py
index 8b5c3d384..b6d102840 100644
--- a/libs/priors/priors/utils.py
+++ b/libs/priors/priors/utils.py
@@ -1,6 +1,3 @@
-from typing import Dict, List
-
-
 def chirp_mass(m1, m2):
     """Calculate chirp mass from component masses"""
     return ((m1 * m2) ** 3 / (m1 + m2)) ** (1 / 5)
@@ -43,7 +40,7 @@ def mass_constraints(samples):
     return samples
 
 
-def transpose(d: Dict[str, List]):
+def transpose(d: dict[str, list]):
     """Turn a dict of lists into a list of dicts"""
     return [
         dict(zip(d, col, strict=True)) for col in zip(*d.values(), strict=True)
diff --git a/libs/utils/tests/test_cosmology.py b/libs/utils/tests/test_cosmology.py
index 29012b069..82ea74336 100644
--- a/libs/utils/tests/test_cosmology.py
+++ b/libs/utils/tests/test_cosmology.py
@@ -1,9 +1,9 @@
+import numpy as np
 from utils.cosmology import (
-    volume_element,
-    get_astrophysical_volume,
     DEFAULT_COSMOLOGY,
+    get_astrophysical_volume,
+    volume_element,
 )
-import numpy as np
 
 
 def test_zero_redshift_volume_element():
diff --git a/libs/utils/tests/test_data.py b/libs/utils/tests/test_data.py
index 0430c6604..a151c2480 100644
--- a/libs/utils/tests/test_data.py
+++ b/libs/utils/tests/test_data.py
@@ -2,10 +2,10 @@
 from unittest.mock import MagicMock
 
 from utils.data import (
-    segments_from_paths,
-    get_num_shifts_from_Tb,
     get_num_shifts_from_num_signals,
+    get_num_shifts_from_Tb,
     is_analyzeable_segment,
+    segments_from_paths,
 )
 
 
diff --git a/libs/utils/tests/test_logging.py b/libs/utils/tests/test_logging.py
index a3326b67a..519a6475c 100644
--- a/libs/utils/tests/test_logging.py
+++ b/libs/utils/tests/test_logging.py
@@ -1,7 +1,6 @@
 import logging
 from pathlib import Path
 
-
 from utils.logging import configure_logging
 
 
diff --git a/libs/utils/tests/test_preprocessing.py b/libs/utils/tests/test_preprocessing.py
index 9174f1e3e..fb29633a6 100644
--- a/libs/utils/tests/test_preprocessing.py
+++ b/libs/utils/tests/test_preprocessing.py
@@ -1,8 +1,10 @@
+import pytest
+import torch
 from utils.preprocessing import (
     BackgroundSnapshotter,
-    PsdEstimator,
     BatchWhitener,
     MultiModalPreprocessor,
+    PsdEstimator,
     TimeSpectrogramPreprocessor,
 )
 from utils.augmentation import HeterodyneAugmentor
diff --git a/libs/utils/utils/preprocessing.py b/libs/utils/utils/preprocessing.py
index 7bc4bb78f..4b8b38866 100644
--- a/libs/utils/utils/preprocessing.py
+++ b/libs/utils/utils/preprocessing.py
@@ -1,15 +1,14 @@
 from collections.abc import Callable
 
 import torch
-from torch import Tensor
-
 from ml4gw.transforms import (
-    SpectralDensity,
-    Whiten,
     Decimator,
     SingleQTransform,
+    SpectralDensity,
+    Whiten,
 )
 from ml4gw.utils.slicing import unfold_windows
+from torch import Tensor
 
 
 class BackgroundSnapshotter(torch.nn.Module):
@@ -259,7 +258,7 @@ def forward(self, x: Tensor) -> Tensor:
         else:
             raise ValueError(
                 "Expected input to be either 2 or 3 dimensional, "
-                "but found shape {}".format(x.shape)
+                f"but found shape {x.shape}"
             )
 
         # Estimate PSD and prepare data
@@ -392,7 +391,7 @@ def forward(self, x: Tensor) -> Tensor:
         else:
             raise ValueError(
                 "Expected input to be either 2 or 3 dimensional, "
-                "but found shape {}".format(x.shape)
+                f"but found shape {x.shape}"
             )
 
         # Estimate PSD and prepare data
@@ -566,7 +565,7 @@ def forward(self, x: Tensor) -> Tensor:
         else:
             raise ValueError(
                 "Expected input to be either 2 or 3 dimensional, "
-                "but found shape {}".format(x.shape)
+                f"but found shape {x.shape}"
             )
 
         # Estimate PSD and prepare data
diff --git a/libs/utils/utils/s3.py b/libs/utils/utils/s3.py
index 12c5b9672..4703faf5b 100644
--- a/libs/utils/utils/s3.py
+++ b/libs/utils/utils/s3.py
@@ -1,7 +1,7 @@
-import s3fs
-
 from pathlib import Path
 
+import s3fs
+
 
 def open_file(path: str | Path, mode: str = "rb"):
     """
diff --git a/projects/data/data/cli.py b/projects/data/data/cli.py
index 78cbde634..733aa1f47 100644
--- a/projects/data/data/cli.py
+++ b/projects/data/data/cli.py
@@ -1,4 +1,5 @@
 from jsonargparse import ActionConfigFile, ArgumentParser
+from utils.logging import configure_logging
 
 from data.fetch.cli import parser as fetch_parser
 from data.fetch.main import main as fetch
@@ -12,7 +13,6 @@
 from data.waveforms.testing import main as testing_waveforms
 from data.waveforms.training import main as training_waveforms
 from data.waveforms.validation import main as validation_waveforms
-from utils.logging import configure_logging
 
 
 def main(args=None):
diff --git a/projects/data/data/fetch/cli.py b/projects/data/data/fetch/cli.py
index 7c2808a47..ff482a767 100644
--- a/projects/data/data/fetch/cli.py
+++ b/projects/data/data/fetch/cli.py
@@ -1,9 +1,8 @@
 import logging
 import os
 
-from jsonargparse import ActionConfigFile, ArgumentParser
-
 from data.fetch.fetch import fetch
+from jsonargparse import ActionConfigFile, ArgumentParser
 
 parser = ArgumentParser()
 parser.add_argument("--config", action=ActionConfigFile)
diff --git a/projects/data/data/fetch/fetch.py b/projects/data/data/fetch/fetch.py
index 2bd5da710..777ba8aa5 100644
--- a/projects/data/data/fetch/fetch.py
+++ b/projects/data/data/fetch/fetch.py
@@ -1,5 +1,3 @@
-from typing import List
-
 from gwpy.timeseries import TimeSeries, TimeSeriesDict
 
 # channel names that signal to fetch open data
@@ -7,7 +5,7 @@
 
 
 def _fetch_open_data(
-    ifos: List[str], start: float, end: float, **kwargs
+    ifos: list[str], start: float, end: float, **kwargs
 ) -> TimeSeriesDict:
     ts_dict = TimeSeriesDict()
     for ifo in ifos:
diff --git a/projects/data/data/segments/cli.py b/projects/data/data/segments/cli.py
index a9a345dee..7018a4482 100644
--- a/projects/data/data/segments/cli.py
+++ b/projects/data/data/segments/cli.py
@@ -1,8 +1,7 @@
 import logging
 
-from jsonargparse import ActionConfigFile, ArgumentParser
-
 from data.segments.segments import DataQualityDict
+from jsonargparse import ActionConfigFile, ArgumentParser
 
 parser = ArgumentParser()
 parser.add_argument("--config", action=ActionConfigFile)
@@ -24,8 +23,6 @@ def main(args=None):
     segments = DataQualityDict.query_segments(**args_dict)
 
     logging.info(
-        "Discovered {} valid segments, writing to {}".format(
-            len(segments), output_file
-        )
+        f"Discovered {len(segments)} valid segments, writing to {output_file}"
     )
     segments.write(output_file)
diff --git a/projects/data/data/segments/main.py b/projects/data/data/segments/main.py
index ae2482b79..552a73ad7 100644
--- a/projects/data/data/segments/main.py
+++ b/projects/data/data/segments/main.py
@@ -15,8 +15,6 @@ def main(args):
     segments = DataQualityDict.query_segments(**args_dict)
 
     logging.info(
-        "Discovered {} valid segments, writing to {}".format(
-            len(segments), output_file
-        )
+        f"Discovered {len(segments)} valid segments, writing to {output_file}"
     )
     segments.write(output_file)
diff --git a/projects/data/data/segments/segments.py b/projects/data/data/segments/segments.py
index c05190c06..f7ef0013c 100644
--- a/projects/data/data/segments/segments.py
+++ b/projects/data/data/segments/segments.py
@@ -1,5 +1,5 @@
 import subprocess
-from typing import Iterable, Optional
+from collections.abc import Iterable
 
 from gwpy.segments import DataQualityDict, DataQualityFlag, SegmentList
 
@@ -64,7 +64,7 @@ def _query_segments(
         flags: Iterable[str],
         start: float,
         end: float,
-        min_duration: Optional[float] = None,
+        min_duration: float | None = None,
         **kwargs,
     ) -> SegmentList:
         flags = set(flags)
@@ -95,7 +95,7 @@ def query_segments(
         flags: Iterable[str],
         start: float,
         end: float,
-        min_duration: Optional[float] = None,
+        min_duration: float | None = None,
         **kwargs,
     ) -> SegmentList:
         # if the requested time period
diff --git a/projects/data/data/waveforms/cli.py b/projects/data/data/waveforms/cli.py
index 6090649ef..8ccb01464 100644
--- a/projects/data/data/waveforms/cli.py
+++ b/projects/data/data/waveforms/cli.py
@@ -1,8 +1,7 @@
-from jsonargparse import ActionConfigFile, ArgumentParser
-
 from data.waveforms.rejection import rejection_sample
 from data.waveforms.testing import testing_waveforms
 from data.waveforms.training import training_waveforms
+from jsonargparse import ActionConfigFile, ArgumentParser
 from ledger.injections import WaveformSet, waveform_class_factory
 
 training_parser = ArgumentParser()
diff --git a/projects/data/data/waveforms/rejection.py b/projects/data/data/waveforms/rejection.py
index abaae8a92..7e4805dc7 100644
--- a/projects/data/data/waveforms/rejection.py
+++ b/projects/data/data/waveforms/rejection.py
@@ -1,25 +1,24 @@
 from collections import defaultdict
+from collections.abc import Callable
 from pathlib import Path
-from typing import Callable, Dict, List, Tuple, Union
 
 import numpy as np
 import torch
-from ml4gw.gw import compute_ifo_snr, compute_observed_strain, get_ifo_geometry
-
 from data.waveforms.utils import convert_to_detector_frame, load_psds
 from ledger.injections import (
     BilbyParameterSet,
     InjectionParameterSet,
     WaveformPolarizationSet,
 )
+from ml4gw.gw import compute_ifo_snr, compute_observed_strain, get_ifo_geometry
 
-ResponseSetFields = Dict[str, Union[np.ndarray, float]]
+ResponseSetFields = dict[str, np.ndarray | float]
 
 
 def rejection_sample(
     num_signals: int,
     prior: Callable,
-    ifos: List[str],
+    ifos: list[str],
     minimum_frequency: float,
     reference_frequency: float,
     sample_rate: float,
@@ -29,9 +28,9 @@ def rejection_sample(
     highpass: float,
     lowpass: float,
     snr_threshold: float,
-    psd: Union[Path, torch.Tensor],
+    psd: Path | torch.Tensor,
     max_num_samples: int,
-) -> Tuple[ResponseSetFields, InjectionParameterSet]:
+) -> tuple[ResponseSetFields, InjectionParameterSet]:
     # get the detector tensors and vertices
     # for projecting our waveforms
     tensors, vertices = get_ifo_geometry(*ifos)
diff --git a/projects/data/data/waveforms/testing.py b/projects/data/data/waveforms/testing.py
index d5efcefaa..20fdeaf8b 100644
--- a/projects/data/data/waveforms/testing.py
+++ b/projects/data/data/waveforms/testing.py
@@ -1,10 +1,9 @@
 import logging
+from collections.abc import Callable
 from pathlib import Path
-from typing import Callable, List, Optional
-
-import numpy as np
 
 import data.waveforms.utils as utils
+import numpy as np
 from data.waveforms.rejection import rejection_sample
 from ledger.injections import InterferometerResponseSet, waveform_class_factory
 
@@ -12,8 +11,8 @@
 def testing_waveforms(
     start: float,
     end: float,
-    ifos: List[str],
-    shifts: List[float],
+    ifos: list[str],
+    shifts: list[float],
     spacing: float,
     buffer: float,
     prior: Callable,
@@ -30,7 +29,7 @@ def testing_waveforms(
     max_num_samples: int,
     output_dir: Path,
     jitter: float = 0.1,
-    seed: Optional[int] = None,
+    seed: int | None = None,
 ):
     """
     Generates testing waveforms via rejection sampling
@@ -111,8 +110,11 @@ def testing_waveforms(
         )
 
     # seed process based on start, end and shift
-    if seed is not None:
+    rng = (
         utils.seed_worker(start, end, shifts, seed)
+        if seed is not None
+        else np.random.default_rng()
+    )
 
     # calculate the injection times, determining
     # the number of samples we'll need to generate
@@ -126,7 +128,7 @@ def testing_waveforms(
     num_signals = len(injection_times)
 
     # add random jitter to injection times
-    jitter = np.random.uniform(-jitter, jitter, size=num_signals)
+    jitter = rng.uniform(-jitter, jitter, size=num_signals)
     injection_times += jitter
 
     # calculate psd that will be used for snr calculation
diff --git a/projects/data/data/waveforms/training.py b/projects/data/data/waveforms/training.py
index f32823e75..cfce5e2e1 100644
--- a/projects/data/data/waveforms/training.py
+++ b/projects/data/data/waveforms/training.py
@@ -1,4 +1,4 @@
-from typing import Callable
+from collections.abc import Callable
 
 from data.waveforms.utils import convert_to_detector_frame
 from ledger.injections import BilbyParameterSet, WaveformPolarizationSet
diff --git a/projects/data/data/waveforms/utils.py b/projects/data/data/waveforms/utils.py
index 7032327d9..d9624c708 100644
--- a/projects/data/data/waveforms/utils.py
+++ b/projects/data/data/waveforms/utils.py
@@ -2,7 +2,6 @@
 import random
 import time
 from pathlib import Path
-from typing import List
 from zlib import adler32
 
 import numpy as np
@@ -18,15 +17,18 @@ def convert_to_detector_frame(samples: dict[str, np.ndarray]):
     return samples
 
 
-def seed_worker(start: float, stop: float, shifts: List[float], seed: int):
+def seed_worker(
+    start: float, stop: float, shifts: list[float], seed: int
+) -> np.random.Generator:
     fingerprint = str((start, stop) + tuple(shifts))
     worker_hash = adler32(fingerprint.encode())
+    combined = seed + worker_hash
     logging.info(
-        "Seeding data generation with seed {}, "
-        "augmented by worker seed {}".format(seed, worker_hash)
+        f"Seeding data generation with seed {seed}, "
+        f"augmented by worker seed {worker_hash}"
     )
-    np.random.seed(seed + worker_hash)
-    random.seed(seed + worker_hash)
+    random.seed(combined)
+    return np.random.default_rng(combined)
 
 
 def calc_segment_injection_times(
@@ -63,7 +65,7 @@ def calc_segment_injection_times(
     return injection_times
 
 
-def load_psds(background: Path, ifos: List[str], df: float) -> torch.Tensor:
+def load_psds(background: Path, ifos: list[str], df: float) -> torch.Tensor:
     """Calculate PSDs from background generated by `background.py`"""
     background = TimeSeriesDict.read(background, path=ifos)
     psds = []
diff --git a/projects/export/export/cli.py b/projects/export/export/cli.py
index f8e04b87f..955d3774a 100644
--- a/projects/export/export/cli.py
+++ b/projects/export/export/cli.py
@@ -1,9 +1,9 @@
 import os
 
 import jsonargparse
+from utils.logging import configure_logging
 
 from export.main import export
-from utils.logging import configure_logging
 
 
 def build_parser():
diff --git a/projects/export/export/main.py b/projects/export/export/main.py
index 4b8d163ca..4ca72f9f4 100644
--- a/projects/export/export/main.py
+++ b/projects/export/export/main.py
@@ -1,13 +1,12 @@
 import io
 import logging
-from typing import Optional
 
 import h5py
 import hermes.quiver as qv
 import torch
+from utils.s3 import open_file
 
 from export.snapshotter import add_streaming_input_preprocessor
-from utils.s3 import open_file
 
 
 def scale_model(model, instances):
@@ -35,9 +34,9 @@ def export(
     psd_length: float,
     preprocessor: torch.nn.Module,
     streams_per_gpu: int = 1,
-    num_outputs: Optional[int] = 1,
-    aframe_instances: Optional[int] = None,
-    preproc_instances: Optional[int] = None,
+    num_outputs: int | None = 1,
+    aframe_instances: int | None = None,
+    preproc_instances: int | None = None,
     platform: qv.Platform = qv.Platform.TENSORRT,
     clean: bool = False,
     verbose: bool = False,
@@ -214,8 +213,8 @@ def export(
         # and the snapshotter as a part of its models
         if aframe not in ensemble.models:
             raise ValueError(
-                "Ensemble model '{}' already in repository "
-                "but doesn't include model 'aframe'".format(ensemble_name)
+                f"Ensemble model '{ensemble_name}' already in repository "
+                "but doesn't include model 'aframe'"
             )
         # TODO: checks for snapshotter and preprocessor
 
diff --git a/projects/export/export/remote/cli.py b/projects/export/export/remote/cli.py
index 77f33f787..119cd91f0 100644
--- a/projects/export/export/remote/cli.py
+++ b/projects/export/export/remote/cli.py
@@ -1,9 +1,9 @@
 import os
 
 import jsonargparse
+from utils.logging import configure_logging
 
 from export.remote.main import export_and_launch_triton
-from utils.logging import configure_logging
 
 
 def build_parser():
diff --git a/projects/export/export/remote/main.py b/projects/export/export/remote/main.py
index 4a9dfe978..81445b141 100644
--- a/projects/export/export/remote/main.py
+++ b/projects/export/export/remote/main.py
@@ -1,7 +1,6 @@
 import logging
 import os
 from pathlib import Path
-from typing import Optional
 
 import hermes.quiver as qv
 import s3fs
@@ -18,14 +17,14 @@ def export_and_launch_triton(
     batch_size: int,
     fduration: float,
     psd_length: float,
-    repository_directory: Optional[str] = None,
-    fftlength: Optional[float] = None,
-    highpass: Optional[float] = None,
-    lowpass: Optional[float] = None,
+    repository_directory: str | None = None,
+    fftlength: float | None = None,
+    highpass: float | None = None,
+    lowpass: float | None = None,
     streams_per_gpu: int = 1,
-    aframe_instances: Optional[int] = None,
+    aframe_instances: int | None = None,
     platform: qv.Platform = qv.Platform.TENSORRT,
-    endpoint_url: Optional[str] = None,
+    endpoint_url: str | None = None,
     clean: bool = False,
     verbose: bool = False,
 ):
diff --git a/projects/export/export/snapshotter.py b/projects/export/export/snapshotter.py
index 67411dad5..d7e1ed2f3 100644
--- a/projects/export/export/snapshotter.py
+++ b/projects/export/export/snapshotter.py
@@ -1,10 +1,8 @@
-from typing import TYPE_CHECKING, Optional
+from typing import TYPE_CHECKING
 
 import torch
-
 from hermes.quiver import Platform
 from hermes.quiver.streaming import utils as streaming_utils
-
 from utils.preprocessing import BackgroundSnapshotter
 
 if TYPE_CHECKING:
@@ -34,7 +32,7 @@ def add_streaming_input_preprocessor(
     inference_sampling_rate: float,
     fduration: float,
     preprocessor: torch.nn.Module,
-    preproc_instances: Optional[int] = None,
+    preproc_instances: int | None = None,
     streams_per_gpu: int = 1,
 ) -> "ExposedTensor":
     """Create a snapshotter model and add it to the repository"""
diff --git a/projects/export/tests/test_export.py b/projects/export/tests/test_export.py
index 4e812d1f0..ab24be0fa 100644
--- a/projects/export/tests/test_export.py
+++ b/projects/export/tests/test_export.py
@@ -8,11 +8,10 @@
 import numpy as np
 import pytest
 import torch
+from export.main import export
 from google.protobuf import text_format
 from ml4gw.nn.resnet import ResNet1D
 from tritonclient.grpc.model_config_pb2 import ModelConfig
-
-from export.main import export
 from utils.preprocessing import BatchWhitener
 
 
@@ -30,7 +29,9 @@ def weights_dir():
 
 @pytest.fixture
 def batch_file(tmp_path, batch_size, num_ifos, sample_rate, kernel_length):
-    data = np.random.randn(batch_size, num_ifos, sample_rate * kernel_length)
+    data = np.random.default_rng().standard_normal(
+        (batch_size, num_ifos, sample_rate * kernel_length)
+    )
     file = tmp_path / "batch_file.h5"
     with h5py.File(file, "w") as f:
         f.create_dataset("X", data=data)
diff --git a/projects/infer/infer/cli.py b/projects/infer/infer/cli.py
index a3e712496..9f0f13a33 100644
--- a/projects/infer/infer/cli.py
+++ b/projects/infer/infer/cli.py
@@ -2,11 +2,11 @@
 
 import jsonargparse
 from hermes.aeriel.client import InferenceClient
+from utils.logging import configure_logging
 
 from infer.data import Sequence
 from infer.main import infer
 from infer.postprocess import Postprocessor
-from utils.logging import configure_logging
 
 
 def build_parser():
diff --git a/projects/infer/infer/data.py b/projects/infer/infer/data.py
index 176e273ae..fa975b2c0 100644
--- a/projects/infer/infer/data.py
+++ b/projects/infer/infer/data.py
@@ -1,15 +1,13 @@
 import logging
 import math
 from contextlib import nullcontext
-from typing import Optional
 from zlib import adler32
 
 import h5py
 import numpy as np
-from ratelimiter import RateLimiter
-
 from ledger.events import EventSet, RecoveredInjectionSet
 from ledger.injections import InterferometerResponseSet, waveform_class_factory
+from ratelimiter import RateLimiter
 
 
 class Sequence:
@@ -21,7 +19,7 @@ def __init__(
         shifts: list[float],
         inference_sampling_rate: float,
         batch_size: int,
-        rate: Optional[float] = None,
+        rate: float | None = None,
     ):
         """
         Object used for iterating over a segment of data,
diff --git a/projects/infer/infer/main.py b/projects/infer/infer/main.py
index 67d9260f5..030690296 100644
--- a/projects/infer/infer/main.py
+++ b/projects/infer/infer/main.py
@@ -33,16 +33,11 @@ def infer(
         foreground: Foreground events
     """
     logging.info(
-        "Beginning inference on sequence {} corresponding "
-        "to {}s of data from {} with shifts {} and sample rate {}, beginning "
-        "at GPS time {}".format(
-            sequence.id,
-            sequence.duration,
-            sequence.background_fname,
-            sequence.shifts / sequence.sample_rate,
-            sequence.sample_rate,
-            sequence.t0,
-        )
+        f"Beginning inference on sequence {sequence.id} corresponding "
+        f"to {sequence.duration}s of data from {sequence.background_fname} "
+        f"with shifts {sequence.shifts / sequence.sample_rate} and "
+        f"sample rate {sequence.sample_rate}, beginning at "
+        f"GPS time {sequence.t0}"
     )
 
     for i, (x, x_inj) in enumerate(tqdm(sequence)):
diff --git a/projects/infer/infer/postprocess.py b/projects/infer/infer/postprocess.py
index 6463f925c..cff748eb4 100644
--- a/projects/infer/infer/postprocess.py
+++ b/projects/infer/infer/postprocess.py
@@ -1,7 +1,4 @@
-from typing import Optional
-
 import numpy as np
-
 from ledger.events import EventSet
 
 
@@ -107,7 +104,7 @@ def cluster(self, y) -> EventSet:
         shifts = np.ones((len(events), len(self.shifts))) * self.shifts
         return EventSet(events, times, shifts, Tb)
 
-    def __call__(self, y: Optional[np.ndarray] = None) -> EventSet:
+    def __call__(self, y: np.ndarray | None = None) -> EventSet:
         # in the case where we didn't perform
         # injections on this shift
         # just return an empty event set
diff --git a/projects/online/online/cli.py b/projects/online/online/cli.py
index 4e5e6cf5c..2177c0916 100644
--- a/projects/online/online/cli.py
+++ b/projects/online/online/cli.py
@@ -1,4 +1,5 @@
 import jsonargparse
+
 from online.main import main
 
 
diff --git a/projects/online/online/dataloading/ngdd.py b/projects/online/online/dataloading/ngdd.py
index a7011969c..75f540ec4 100644
--- a/projects/online/online/dataloading/ngdd.py
+++ b/projects/online/online/dataloading/ngdd.py
@@ -1,12 +1,12 @@
 # import logging
-from typing import List, Optional
 
 import arrakis
 import numpy as np
 import torch
+
 from online.dataloading.utils import (
-    resample,
     build_resample_filter,
+    resample,
 )
 
 STRAIN_SAMPLE_RATE = 16384
@@ -15,11 +15,11 @@
 
 
 def data_iterator(
-    strain_channels: List[str],
-    ifos: List[str],
+    strain_channels: list[str],
+    ifos: list[str],
     sample_rate: float,
-    state_channels: Optional[dict[str, str]] = None,
-    numtaps: Optional[int] = 60,
+    state_channels: dict[str, str] | None = None,
+    numtaps: int | None = 60,
 ) -> torch.Tensor:
     channels = strain_channels + state_channels
     # build resampling filter
diff --git a/projects/online/online/dataloading/offline.py b/projects/online/online/dataloading/offline.py
index 22582c8a4..878c9d339 100644
--- a/projects/online/online/dataloading/offline.py
+++ b/projects/online/online/dataloading/offline.py
@@ -1,18 +1,19 @@
+import logging
+import multiprocessing as mp
 import os
-import numpy as np
+from collections.abc import Generator
 from pathlib import Path
+
+import numpy as np
+import torch
+from gwpy.timeseries import TimeSeriesDict
+
 from online.dataloading.utils import (
+    GWF_SAMPLE_RATE,
     build_resample_filter,
-    resample,
     parse_frame_name,
-    GWF_SAMPLE_RATE,
+    resample,
 )
-from typing import List, Optional, Generator
-from gwpy.timeseries import TimeSeriesDict
-import logging
-import torch
-import multiprocessing as mp
-
 
 STATE_VECTOR_SAMPLE_RATE = 16
 
@@ -81,7 +82,7 @@ def find_intersection(self):
         logging.info(f"Analyzing intersection: {start} to {end}")
         return start, end
 
-    def find_frames(self, ifo: str, start: float, end: float) -> List[str]:
+    def find_frames(self, ifo: str, start: float, end: float) -> list[str]:
         """
         Find all files that overlap with the given time range.
         """
@@ -189,12 +190,12 @@ def chunk_loader_worker(
 
 def offline_data_iterator(
     datadir: Path,
-    channels: List[str],
-    ifos: List[str],
+    channels: list[str],
+    ifos: list[str],
     sample_rate: float,
     ifo_suffix: str = None,
-    state_channels: Optional[dict[str, str]] = None,
-    numtaps: Optional[int] = 60,
+    state_channels: dict[str, str] | None = None,
+    numtaps: int | None = 60,
 ) -> Generator[tuple[torch.Tensor, float, list[bool]], None, None]:
     """
     Similar to `data_iterator` above, but does not
diff --git a/projects/online/online/dataloading/online.py b/projects/online/online/dataloading/online.py
index fb8f78001..1872788d0 100644
--- a/projects/online/online/dataloading/online.py
+++ b/projects/online/online/dataloading/online.py
@@ -1,17 +1,19 @@
 import logging
 import time
+from collections.abc import Generator
 from pathlib import Path
-from typing import List, Optional, Generator
+
 import numpy as np
 import torch
 from gwpy.timeseries import TimeSeries
+
 from online.dataloading.utils import (
-    resample,
+    GWF_SAMPLE_RATE,
+    PATH_LIKE,
     build_resample_filter,
     fname_re,
-    PATH_LIKE,
-    GWF_SAMPLE_RATE,
     is_gwf,
+    resample,
 )
 
 BLOCK_DURATION = 1
@@ -33,17 +35,13 @@ def get_prefix(datadir: Path):
     prefixes = {i.group("prefix") for i in matches}
     if len(prefixes) > 1:
         raise ValueError(
-            "Too many prefixes {} in data directory '{}'".format(
-                list(prefixes), datadir
-            )
+            f"Too many prefixes {list(prefixes)} in data directory '{datadir}'"
         )
 
     durations = {i.group("duration") for i in matches}
     if len(durations) > 1:
         raise ValueError(
-            "Too many lengths {} in data directory '{}'".format(
-                list(durations), datadir
-            )
+            f"Too many lengths {list(durations)} in data directory '{datadir}'"
         )
     return list(prefixes)[0], int(list(durations)[0]), t0
 
@@ -62,20 +60,20 @@ def reset_t0(datadir, last_t0):
         elapsed = (time.time() - tick) // 1
         if not elapsed % 10:
             logging.info(
-                "No new frames available since timestamp {}, "
-                "elapsed time {}s".format(last_t0, elapsed)
+                f"No new frames available since timestamp {last_t0}, "
+                f"elapsed time {elapsed}s"
             )
 
 
 def data_iterator(
     datadir: Path,
-    channels: List[str],
-    ifos: List[str],
+    channels: list[str],
+    ifos: list[str],
     sample_rate: float,
     ifo_suffix: str = None,
-    state_channels: Optional[dict[str, str]] = None,
-    timeout: Optional[float] = None,
-    numtaps: Optional[int] = 60,
+    state_channels: dict[str, str] | None = None,
+    timeout: float | None = None,
+    numtaps: int | None = 60,
 ) -> Generator[tuple[torch.Tensor, float, list[bool]], None, None]:
     if ifo_suffix is not None:
         ifo_dir = "_".join([ifos[0], ifo_suffix])
@@ -124,9 +122,7 @@ def data_iterator(
                 tock = time.time()
                 if timeout is not None and (tock - tick > timeout):
                     logging.warning(
-                        "Couldn't find frame file {} after {}s".format(
-                            fname, timeout
-                        )
+                        f"Couldn't find frame file {fname} after {timeout}s"
                     )
 
                     yield None, t0, [False] * len(ifos)
@@ -214,10 +210,8 @@ def read_channel(fname: PATH_LIKE, channel: str, num_retries: int = 3):
                 "Cannot generate TimeSeries with 2-dimensional data"
             ):
                 logging.warning(
-                    "Channel {} from file {} got corrupted and was "
-                    "read as 2D, attempting reread {}".format(
-                        channel, fname, i + 1
-                    )
+                    f"Channel {channel} from file {fname} got corrupted "
+                    f"and was read as 2D, attempting reread {i + 1}"
                 )
                 time.sleep(1e-1)
                 continue
@@ -229,15 +223,15 @@ def read_channel(fname: PATH_LIKE, channel: str, num_retries: int = 3):
         except RuntimeError as e:
             if str(e).startswith("Failed to read the core"):
                 logging.warning(
-                    "Channel {} from file {} had corrupted header, "
-                    "attempting reread {}".format(channel, fname, i + 1)
+                    f"Channel {channel} from file {fname} had "
+                    f"corrupted header, attempting reread {i + 1}"
                 )
                 time.sleep(2e-1)
                 continue
             elif str(e).startswith("Missing FrEndOfFile structure"):
                 logging.warning(
-                    "File {} was missing FrEndOfFile structure, "
-                    "attempting reread {}".format(fname, i + 1)
+                    f"File {fname} was missing FrEndOfFile structure, "
+                    f"attempting reread {i + 1}"
                 )
                 time.sleep(1e-1)
                 continue
@@ -246,10 +240,8 @@ def read_channel(fname: PATH_LIKE, channel: str, num_retries: int = 3):
 
         if len(x) != x.sample_rate.value:
             logging.warning(
-                "Channel {} in file {} got corrupted with "
-                "length {}, attempting reread {}".format(
-                    channel, fname, len(x), i + 1
-                )
+                f"Channel {channel} in file {fname} got corrupted with "
+                f"length {len(x)}, attempting reread {i + 1}"
             )
             del x
             time.sleep(1e-1)
@@ -257,6 +249,4 @@ def read_channel(fname: PATH_LIKE, channel: str, num_retries: int = 3):
 
         return x
     else:
-        raise ValueError(
-            "Failed to read channel {} in file {}".format(channel, fname)
-        )
+        raise ValueError(f"Failed to read channel {channel} in file {fname}")
diff --git a/projects/online/online/dataloading/utils.py b/projects/online/online/dataloading/utils.py
index fe8f9f7ec..8336cbe58 100644
--- a/projects/online/online/dataloading/utils.py
+++ b/projects/online/online/dataloading/utils.py
@@ -1,11 +1,11 @@
 import re
-from typing import Union
-from scipy import signal
-from gwpy.signal import filter_design
-import numpy as np
 from pathlib import Path
 
-PATH_LIKE = Union[str, Path]
+import numpy as np
+from gwpy.signal import filter_design
+from scipy import signal
+
+PATH_LIKE = str | Path
 GWF_SAMPLE_RATE = 16384
 
 patterns = {
diff --git a/projects/online/online/main.py b/projects/online/online/main.py
index 561134dde..e8fe56ba4 100644
--- a/projects/online/online/main.py
+++ b/projects/online/online/main.py
@@ -1,42 +1,44 @@
 import atexit
-import numpy as np
 import logging
 import signal
 from math import floor
+import traceback
+from collections.abc import Iterable
 from pathlib import Path
 from queue import Empty
-from typing import Iterable, List, Optional, Tuple, Literal
-import traceback
-from online.utils.email_alerts import send_error_email, send_init_email
+from typing import Literal
+
+import numpy as np
 import torch
 from amplfi.train.architectures.flows import FlowArchitecture
 from amplfi.train.prior import AmplfiPrior
 from architectures import Architecture
+from ledger.events import EventSet
 from ml4gw.transforms import ChannelWiseScaler, SpectralDensity, Whiten
 from torch.multiprocessing import Array, Process, Queue
+from utils.preprocessing import BatchWhitener
 
-from ledger.events import EventSet
-from online.utils.buffer import InputBuffer, OutputBuffer
 from online.dataloading import (
     data_iterator,
-    offline_data_iterator,
     ngdd_data_iterator,
+    offline_data_iterator,
 )
-from online.utils.pe import run_amplfi, warmup_amplfi
-from online.utils.searcher import Searcher
-from online.utils.snapshotter import OnlineSnapshotter
-from utils.preprocessing import BatchWhitener
 from online.subprocesses import (
     amplfi_subprocess,
-    pastro_subprocess,
-    event_creation_subprocess,
     authenticate_subprocess,
-    setup_logging,
     cleanup_subprocesses,
+    event_creation_subprocess,
+    pastro_subprocess,
+    setup_logging,
     signal_handler,
 )
 from online.subprocesses.authenticate import authenticate
+from online.utils.buffer import InputBuffer, OutputBuffer
+from online.utils.email_alerts import send_error_email, send_init_email
 from online.utils.gdb import GdbServer
+from online.utils.pe import run_amplfi, warmup_amplfi
+from online.utils.searcher import Searcher
+from online.utils.snapshotter import OnlineSnapshotter
 
 SECONDS_PER_DAY = 86400
 # igwn_auth_utils finds tokens only if they have at least 10 minutes left
@@ -164,12 +166,12 @@ def search(
     amplfi_whitener: Whiten,
     samples_per_event: int,
     shared_samples: Array,
-    data_it: Iterable[Tuple[torch.Tensor, float, bool]],
+    data_it: Iterable[tuple[torch.Tensor, float, bool]],
     update_size: float,
     time_offset: float,
     device: str,
     outdir: Path,
-    emails: Optional[list[str]] = None,
+    emails: list[str] | None = None,
 ):
     significance_outputs, timing_outputs = None, None
 
@@ -243,16 +245,16 @@ def search(
             # but don't search for events
             if X is not None:
                 logging.debug(
-                    "Frame {} is not analysis ready. Using dummy values "
-                    "for inference and ignoring any triggers".format(floor(t0))
+                    f"Frame {floor(t0)} is not analysis ready. Using dummy "
+                    "values for inference and ignoring any triggers"
                 )
                 pass
             # or if it's because frames were dropped within the stream
             # in which case we should reset our states
             else:
                 logging.warning(
-                    "Missing frame files after timestep {}, "
-                    "resetting states".format(floor(t0))
+                    f"Missing frame files after timestep {floor(t0)}, "
+                    "resetting states"
                 )
 
                 state = snapshotter.reset()
@@ -352,8 +354,8 @@ def main(
     rejected_path: Path,
     outdir: Path,
     datadir: Path,
-    inference_params: List[str],
-    channels: List[str],
+    inference_params: list[str],
+    channels: list[str],
     sample_rate: float,
     kernel_length: float,
     online_inference_rate: float,
@@ -368,11 +370,11 @@ def main(
     integration_window_length: float,
     astro_event_rate: float,
     data_source: Literal["frames", "ngdd"] = "frames",
-    state_channels: Optional[list[str]] = None,
-    fftlength: Optional[float] = None,
-    highpass: Optional[float] = None,
-    amplfi_highpass: Optional[float] = None,
-    lowpass: Optional[float] = None,
+    state_channels: list[str] | None = None,
+    fftlength: float | None = None,
+    highpass: float | None = None,
+    amplfi_highpass: float | None = None,
+    lowpass: float | None = None,
     refractory_period: float = 8,
     far_threshold: float = 1,
     server: "GdbServer" = "local",
@@ -380,7 +382,7 @@ def main(
     input_buffer_length: int = 75,
     output_buffer_length: int = 8,
     samples_per_event: int = 20000,
-    emails: Optional[list[str]] = None,
+    emails: list[str] | None = None,
     email_far_threshold: float = 1e-6,
     auth_refresh: int = 9600,
     nside: int = 64,
diff --git a/projects/online/online/monitor/cli.py b/projects/online/online/monitor/cli.py
index 47b4f0a6c..e30556a8d 100644
--- a/projects/online/online/monitor/cli.py
+++ b/projects/online/online/monitor/cli.py
@@ -1,13 +1,12 @@
-from .main import main
-
 import logging
 from pathlib import Path
 
 import yaml
 from jsonargparse import ArgumentParser
-
 from utils.logging import configure_logging
 
+from .main import main
+
 
 def cli():
     parser = ArgumentParser(description="Process event outputs")
@@ -55,7 +54,7 @@ def cli():
     config = args.run_dir / "config.yaml"
     if not config.exists():
         raise FileNotFoundError(f"Config file not found: {config}")
-    with open(config, "r") as f:
+    with open(config) as f:
         online_args = yaml.safe_load(f)
 
     main(**vars(args), online_args=online_args, logger=logger)
diff --git a/projects/online/online/monitor/main.py b/projects/online/online/monitor/main.py
index e2f04814e..22104af6c 100644
--- a/projects/online/online/monitor/main.py
+++ b/projects/online/online/monitor/main.py
@@ -2,8 +2,8 @@
 import time
 from pathlib import Path
 
-from .utils.parse_logs import estimate_tb, pipeline_online
 from .pages import EventPage, SummaryPage
+from .utils.parse_logs import estimate_tb, pipeline_online
 
 
 def main(
diff --git a/projects/online/online/monitor/pages/summary.py b/projects/online/online/monitor/pages/summary.py
index 08023096b..4d8e3282b 100644
--- a/projects/online/online/monitor/pages/summary.py
+++ b/projects/online/online/monitor/pages/summary.py
@@ -1,15 +1,15 @@
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 
 import pandas as pd
 from gwpy.time import tconvert
 
 from online.monitor.pages import MonitorPage
+from online.monitor.utils.parse_logs import data_ready, pipeline_online
 from online.monitor.utils.plotting import (
-    latency_plot,
-    ifar_plot,
     event_rate_plots,
+    ifar_plot,
+    latency_plot,
 )
-from online.monitor.utils.parse_logs import data_ready, pipeline_online
 
 
 class SummaryPage(MonitorPage):
@@ -30,7 +30,7 @@ def __init__(
                     f"event time in {self.dataframe_file}, {self.start_time}"
                 )
             else:
-                self.start_time = float(tconvert(datetime.now(timezone.utc)))
+                self.start_time = float(tconvert(datetime.now(UTC)))
                 self.logger.info(
                     "start_time was None and dataframe file does not exist, "
                     "setting start_time to current time"
@@ -64,7 +64,7 @@ def html_body(self):
         )
         date_format = "%Y-%m-%d %H:%M:%S"
         start_time = tconvert(self.start_time).strftime(date_format)
-        current_time = datetime.now(timezone.utc).strftime(date_format)
+        current_time = datetime.now(UTC).strftime(date_format)
         html_body = f"""
             <style>
                 .green {{
diff --git a/projects/online/online/monitor/utils/parse_logs.py b/projects/online/online/monitor/utils/parse_logs.py
index 332d8face..e833e4306 100644
--- a/projects/online/online/monitor/utils/parse_logs.py
+++ b/projects/online/online/monitor/utils/parse_logs.py
@@ -1,8 +1,9 @@
-import psutil
+from datetime import UTC, datetime
 from pathlib import Path
-from gwpy.time import tconvert
-from datetime import datetime, timezone
+
+import psutil
 import pytz
+from gwpy.time import tconvert
 
 EXPECTED_PROCESS_COUNT = 6
 
@@ -24,9 +25,7 @@ def get_log_files(log_dir: Path, start_time: float) -> list:
         datetime.fromtimestamp(mtime, tz=pytz.timezone("US/Pacific"))
         for mtime in modified_times
     ]
-    modified_utc_datetimes = [
-        dt.astimezone(timezone.utc) for dt in modified_datetimes
-    ]
+    modified_utc_datetimes = [dt.astimezone(UTC) for dt in modified_datetimes]
     relevant_log_files = [
         f
         for f, dt in zip(all_log_files, modified_utc_datetimes, strict=True)
@@ -38,7 +37,7 @@ def get_log_files(log_dir: Path, start_time: float) -> list:
 def get_timestamp_from_log_statement(log_statement: str) -> float:
     datetime_string = log_statement[:23]
     datetime_string = datetime_string.replace(",", ".")
-    return datetime.fromisoformat(datetime_string).replace(tzinfo=timezone.utc)
+    return datetime.fromisoformat(datetime_string).replace(tzinfo=UTC)
 
 
 def get_tb_from_log_text(log_text: list[str], start_time: float) -> float:
@@ -85,13 +84,13 @@ def get_tb_from_log_text(log_text: list[str], start_time: float) -> float:
 
 def estimate_tb(run_dir: Path, start_time: float) -> float:
     log_dir = run_dir / "output" / "logs"
-    start_time = tconvert(start_time).replace(tzinfo=timezone.utc)
+    start_time = tconvert(start_time).replace(tzinfo=UTC)
     log_files = get_log_files(log_dir, start_time)
     if not log_files:
         return 0.0
     log_text = []
     for log_file in log_files:
-        with open(log_file, "r") as f:
+        with open(log_file) as f:
             log_text.append(f.readlines())
     log_text = [line for sublist in log_text for line in sublist]
     return get_tb_from_log_text(log_text, start_time)
@@ -117,7 +116,7 @@ def data_ready(run_dir: Path):
     # there's anything more efficient than loading
     # the entire log file. The files change each
     # day, so this shouldn't ever be too bad
-    with open(log_file, "r") as f:
+    with open(log_file) as f:
         lines = f.readlines()
 
     failure_lines = [
diff --git a/projects/online/online/monitor/utils/plotting.py b/projects/online/online/monitor/utils/plotting.py
index 0ab728836..10de0bd0d 100644
--- a/projects/online/online/monitor/utils/plotting.py
+++ b/projects/online/online/monitor/utils/plotting.py
@@ -1,14 +1,14 @@
+import logging
+import warnings
+from datetime import UTC, datetime, timedelta
+from pathlib import Path
+
 import h5py
 import matplotlib.pyplot as plt
 import numpy as np
-from gwpy.timeseries import TimeSeries
-from pathlib import Path
 import pandas as pd
+from gwpy.timeseries import TimeSeries
 from scipy.stats import poisson
-import warnings
-import logging
-
-from datetime import datetime, timedelta, timezone
 
 IFOS = ["H1", "L1", "V1"]
 SECONDS_PER_YEAR = 365 * 86400
@@ -201,9 +201,9 @@ def event_rate_plots(plotsdir: Path, df: pd.DataFrame) -> None:
     """
     plt.figure(figsize=(10, 6))
     df.set_index("datetime", inplace=True)
-    df = df.tz_localize(timezone.utc)
+    df = df.tz_localize(UTC)
 
-    current_time = datetime.now(timezone.utc)
+    current_time = datetime.now(UTC)
     one_day_ago = current_time - timedelta(days=1)
     one_week_ago = current_time - timedelta(weeks=1)
 
@@ -214,8 +214,8 @@ def event_rate_plots(plotsdir: Path, df: pd.DataFrame) -> None:
     # It doesn't harm anything, so catch them to make output cleaner.
     with warnings.catch_warnings():
         warnings.simplefilter("ignore", category=UserWarning)
-        past_day = past_day.tz_convert(timezone.utc)
-        past_week = past_week.tz_convert(timezone.utc)
+        past_day = past_day.tz_convert(UTC)
+        past_week = past_week.tz_convert(UTC)
         if len(past_day) > 0:
             past_day.resample("1h").size().plot()
         else:
diff --git a/projects/online/online/subprocesses/__init__.py b/projects/online/online/subprocesses/__init__.py
index c31d321ce..0fda15885 100644
--- a/projects/online/online/subprocesses/__init__.py
+++ b/projects/online/online/subprocesses/__init__.py
@@ -1,10 +1,10 @@
 from .amplfi import amplfi_subprocess
-from .p_astro import pastro_subprocess
-from .events import event_creation_subprocess
 from .authenticate import authenticate_subprocess
+from .events import event_creation_subprocess
+from .logger import logging_subprocess, setup_logging
+from .p_astro import pastro_subprocess
 from .utils import (
     cleanup_subprocesses,
-    signal_handler,
     run_subprocess_with_logging,
+    signal_handler,
 )
-from .logger import logging_subprocess, setup_logging
diff --git a/projects/online/online/subprocesses/amplfi.py b/projects/online/online/subprocesses/amplfi.py
index f58532d65..73268631b 100644
--- a/projects/online/online/subprocesses/amplfi.py
+++ b/projects/online/online/subprocesses/amplfi.py
@@ -1,14 +1,17 @@
 import logging
+from typing import TYPE_CHECKING
+
 import torch
-from typing import Optional, TYPE_CHECKING
 from amplfi.train.prior import AmplfiPrior
+from astropy.time import Time
+from ligo.skymap.io.fits import gps_to_iso8601
 from torch.multiprocessing import Array, Queue
-from online.utils.searcher import Event
+
+from online.utils.email_alerts import send_detection_email
 from online.utils.pe import postprocess_samples
+from online.utils.searcher import Event
+
 from .utils import subprocess_wrapper
-from online.utils.email_alerts import send_detection_email
-from astropy.time import Time
-from ligo.skymap.io.fits import gps_to_iso8601
 
 if TYPE_CHECKING:
     from online.utils.gdb import GraceDb
@@ -23,7 +26,7 @@ def amplfi_subprocess(
     inference_params: list[str],
     amplfi_parameter_sampler: AmplfiPrior,
     shared_samples: Array,
-    emails: Optional[list[str]] = None,
+    emails: list[str] | None = None,
     email_far_threshold: float = 1e-6,
     nside: int = 64,
     min_samples_per_pix: int = 5,
diff --git a/projects/online/online/subprocesses/authenticate.py b/projects/online/online/subprocesses/authenticate.py
index 4466a35a3..d2fc4ac8a 100644
--- a/projects/online/online/subprocesses/authenticate.py
+++ b/projects/online/online/subprocesses/authenticate.py
@@ -1,7 +1,8 @@
-import time
-import os
 import logging
-from .utils import subprocess_wrapper, run_subprocess_with_logging
+import os
+import time
+
+from .utils import run_subprocess_with_logging, subprocess_wrapper
 
 logger = logging.getLogger("authenticate-subprocess")
 
diff --git a/projects/online/online/subprocesses/events.py b/projects/online/online/subprocesses/events.py
index 11aa17b5c..bec57a9a3 100644
--- a/projects/online/online/subprocesses/events.py
+++ b/projects/online/online/subprocesses/events.py
@@ -1,6 +1,6 @@
-from queue import Queue
 import logging
 from pathlib import Path
+from queue import Queue
 from typing import TYPE_CHECKING
 
 import certifi
diff --git a/projects/online/online/subprocesses/logger.py b/projects/online/online/subprocesses/logger.py
index 09bece06f..49d84a268 100644
--- a/projects/online/online/subprocesses/logger.py
+++ b/projects/online/online/subprocesses/logger.py
@@ -1,9 +1,10 @@
-from typing import TYPE_CHECKING
 import logging
-from logging.handlers import TimedRotatingFileHandler, QueueHandler
-from datetime import datetime, timezone
 import sys
+from datetime import UTC, datetime
+from logging.handlers import QueueHandler, TimedRotatingFileHandler
 from multiprocessing import Process, Queue
+from typing import TYPE_CHECKING
+
 from online.subprocesses.utils import subprocess_wrapper
 
 if TYPE_CHECKING:
@@ -15,11 +16,11 @@
 class TimestampFormatter(logging.Formatter):
     def format(self, record):
         # original log timestamp using UTC converter
-        recorded = datetime.fromtimestamp(record.created, tz=timezone.utc)
+        recorded = datetime.fromtimestamp(record.created, tz=UTC)
         recorded = recorded.strftime("%Y-%m-%d %H:%M:%S,%f")[:-3]
 
         # time log is processed by logging subprocess
-        processed = datetime.now(tz=timezone.utc)
+        processed = datetime.now(tz=UTC)
         processed = processed.strftime("%H:%M:%S,%f")[:-3]
 
         message = (
@@ -46,7 +47,7 @@ def configure_logging(logdir: "Path", verbose: bool = False):
     stdout_handler.setFormatter(TimestampFormatter())
     logger.addHandler(stdout_handler)
 
-    timestamp = datetime.now(tz=timezone.utc).strftime("%Y-%m-%dT%H:%M:%S")
+    timestamp = datetime.now(tz=UTC).strftime("%Y-%m-%dT%H:%M:%S")
     run_log_dir = logdir / timestamp
     run_log_dir.mkdir(exist_ok=True, parents=True)
 
diff --git a/projects/online/online/subprocesses/p_astro.py b/projects/online/online/subprocesses/p_astro.py
index d961a4c83..c793d0a9e 100644
--- a/projects/online/online/subprocesses/p_astro.py
+++ b/projects/online/online/subprocesses/p_astro.py
@@ -1,20 +1,18 @@
 import logging
+import pickle
 import time
 from pathlib import Path
 from typing import TYPE_CHECKING
 
-from torch.multiprocessing import Queue
-
-from .utils import subprocess_wrapper
-
 import h5py
-import pickle
-
 from ledger.events import EventSet, RecoveredInjectionSet
 from ledger.injections import InjectionParameterSet
 from p_astro.background import KdeAndPolynomialBackground
 from p_astro.foreground import KdeForeground
 from p_astro.p_astro import Pastro
+from torch.multiprocessing import Queue
+
+from .utils import subprocess_wrapper
 
 if TYPE_CHECKING:
     from online.utils.gdb import GraceDb
diff --git a/projects/online/online/subprocesses/utils.py b/projects/online/online/subprocesses/utils.py
index 622dc3a65..83ca065da 100644
--- a/projects/online/online/subprocesses/utils.py
+++ b/projects/online/online/subprocesses/utils.py
@@ -1,10 +1,9 @@
 import logging
+import subprocess
 import sys
+import traceback
 from logging.handlers import QueueHandler
 from multiprocessing import Process, Queue
-from typing import Union, Optional
-import traceback
-import subprocess
 
 
 def subprocess_wrapper(
@@ -18,9 +17,9 @@ def subprocess_wrapper(
 
     def wrapper(
         error_queue: Queue,
-        level: Union[int, str],
+        level: int | str,
         name: str,
-        log_queue: Optional[Queue],
+        log_queue: Queue | None,
         *args,
         **kwargs,
     ):
diff --git a/projects/online/online/utils/email_alerts.py b/projects/online/online/utils/email_alerts.py
index 7c7bc3278..a09994b96 100644
--- a/projects/online/online/utils/email_alerts.py
+++ b/projects/online/online/utils/email_alerts.py
@@ -1,7 +1,8 @@
+import logging
 import smtplib
-from email.mime.text import MIMEText
 from email.mime.multipart import MIMEMultipart
-import logging
+from email.mime.text import MIMEText
+
 from lal import gpstime
 
 SENDER_EMAIL = "aframe-online"
diff --git a/projects/online/online/utils/gdb.py b/projects/online/online/utils/gdb.py
index 28232137a..44bc1c5f1 100644
--- a/projects/online/online/utils/gdb.py
+++ b/projects/online/online/utils/gdb.py
@@ -1,23 +1,24 @@
 import json
 import logging
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 from pathlib import Path
-from typing import TYPE_CHECKING, List, Optional
+from typing import TYPE_CHECKING
+
 import bilby
 import h5py
+import matplotlib.pyplot as plt
 from gwpy.time import tconvert
 from ligo.gracedb.rest import GraceDb as _GraceDb
-from ligo.skymap.tool.ligo_skymap_plot import main as ligo_skymap_plot
 from ligo.skymap.io.fits import write_sky_map
-from online.utils.searcher import Event
-import matplotlib.pyplot as plt
 from ligo.skymap.tool.ligo_skymap_from_samples import (
     main as ligo_skymap_from_samples,
 )
+from ligo.skymap.tool.ligo_skymap_plot import main as ligo_skymap_plot
+from online.utils.searcher import Event
 
 if TYPE_CHECKING:
-    from astropy.io.fits import BinTableHDU
     from amplfi.utils.result import AmplfiResult
+    from astropy.io.fits import BinTableHDU
 from enum import Enum
 
 
@@ -72,7 +73,7 @@ def __init__(
         *args,
         server: GdbServer,
         write_dir: Path,
-        logger: Optional[logging.Logger] = None,
+        logger: logging.Logger | None = None,
         **kwargs,
     ):
         super().__init__(
@@ -126,7 +127,7 @@ def submit(self, event: Event):
         # TODO: determine underlying issue here
         # Handle issue where sometimes the pipeline lags,
         # and the frame file has already left the buffer
-        submission_time = float(tconvert(datetime.now(tz=timezone.utc)))
+        submission_time = float(tconvert(datetime.now(tz=UTC)))
         try:
             t_write = event.get_frame_write_time()
         except FileNotFoundError:
@@ -243,7 +244,7 @@ def submit_ligo_skymap_from_samples(
         result: bilby.core.result.Result,
         graceid: str,
         event_dir: Path,
-        ifos: List[str],
+        ifos: list[str],
     ):
         event_dir = self.write_dir / event_dir
         filename = event_dir / "posterior_samples.dat"
diff --git a/projects/online/online/utils/pe.py b/projects/online/online/utils/pe.py
index e769b973f..4a9f9b647 100644
--- a/projects/online/online/utils/pe.py
+++ b/projects/online/online/utils/pe.py
@@ -1,14 +1,15 @@
 import logging
-from typing import TYPE_CHECKING, Optional
+from typing import TYPE_CHECKING
 
-from astropy import cosmology, units as u
 import lal
 import numpy as np
 import pandas as pd
-from scipy.interpolate import interp1d
 import torch
 from amplfi.utils.result import AmplfiResult
+from astropy import cosmology
+from astropy import units as u
 from ml4gw.waveforms.conversion import chirp_mass_and_mass_ratio_to_components
+from scipy.interpolate import interp1d
 
 torch.set_num_threads(1)
 
@@ -188,7 +189,7 @@ def warmup_amplfi(
     samples_per_event: int,
     device: torch.device,
     spectral_density: "SpectralDensity",
-    lowpass: Optional[float] = None,
+    lowpass: float | None = None,
     n_iters: int = 10,
 ):
     for ifos, (amplfi, _) in ifos_to_model.items():
diff --git a/projects/online/online/utils/searcher.py b/projects/online/online/utils/searcher.py
index d11c21083..e3f134752 100644
--- a/projects/online/online/utils/searcher.py
+++ b/projects/online/online/utils/searcher.py
@@ -2,13 +2,11 @@
 import logging
 import os
 from dataclasses import asdict, dataclass
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 from pathlib import Path
-from typing import List, Optional
 
 import numpy as np
 from gwpy.time import tconvert
-
 from ledger.events import EventSet
 from online.dataloading.online import get_prefix
 
@@ -16,7 +14,7 @@
 
 
 def gps_from_timestamp(timestamp: float):
-    return float(tconvert(datetime.fromtimestamp(timestamp, tz=timezone.utc)))
+    return float(tconvert(datetime.fromtimestamp(timestamp, tz=UTC)))
 
 
 @dataclass
@@ -24,10 +22,10 @@ class Event:
     gpstime: float
     detection_statistic: float
     far: float
-    ifos: List[str]
-    channels: List[str]
+    ifos: list[str]
+    channels: list[str]
     datadir: Path
-    ifo_suffix: Optional[str] = None
+    ifo_suffix: str | None = None
 
     def get_frame_write_time(self):
         """
@@ -107,10 +105,10 @@ def __init__(
         far_threshold: float,
         online_inference_rate: float,
         refractory_period: float,
-        ifos: List[str],
+        ifos: list[str],
         channels: str,
         datadir: Path,
-        ifo_suffix: Optional[str] = None,
+        ifo_suffix: str | None = None,
     ) -> None:
         self.online_inference_rate = online_inference_rate
         self.refractory_period = refractory_period
@@ -140,9 +138,9 @@ def check_refractory(self, timestamp, value):
         time_since_last = timestamp - self.last_detection_time
         if time_since_last < self.refractory_period:
             logging.warning(
-                "Detected event with detection statistic {:0.3f} "
-                "but it has only been {:0.2f}s since last detection, "
-                "so skipping".format(value, time_since_last)
+                f"Detected event with detection statistic {value:0.3f} "
+                f"but it has only been {time_since_last:0.2f}s since "
+                "last detection, so skipping"
             )
             return True
         return False
@@ -159,8 +157,8 @@ def build_event(self, value: float, t0: float, idx: int):
         logging.debug("FAR computed")
 
         logging.info(
-            "Event coalescence time found to be {:0.3f} "
-            "with FAR {:0.3e} Hz".format(timestamp, far)
+            f"Event coalescence time found to be {timestamp:0.3f} "
+            f"with FAR {far:0.3e} Hz"
         )
 
         self.last_detection_time = timestamp
@@ -183,7 +181,7 @@ def search(
         significance_outputs: np.ndarray,
         timing_outputs: np.ndarray,
         t0: float,
-    ) -> Optional[Event]:
+    ) -> Event | None:
         """
         Search for above-threshold events in the
         timeseries of integrated network outputs
diff --git a/projects/online/online/utils/snapshotter.py b/projects/online/online/utils/snapshotter.py
index 575c67757..71492d7c1 100644
--- a/projects/online/online/utils/snapshotter.py
+++ b/projects/online/online/utils/snapshotter.py
@@ -1,5 +1,4 @@
 import torch
-
 from utils.preprocessing import BackgroundSnapshotter
 
 
diff --git a/projects/plots/plots/legacy/gwtc3.py b/projects/plots/plots/legacy/gwtc3.py
index d644bca40..0374c94b1 100644
--- a/projects/plots/plots/legacy/gwtc3.py
+++ b/projects/plots/plots/legacy/gwtc3.py
@@ -1,6 +1,5 @@
 import logging
 from pathlib import Path
-from typing import Dict, List, Tuple
 
 import astropy.cosmology as cosmo
 import astropy.units as u
@@ -9,7 +8,6 @@
 import scipy.stats as stats
 from astropy.utils.data import download_file
 from tqdm import tqdm
-
 from utils.cosmology import DEFAULT_COSMOLOGY
 
 catalog_results = {
@@ -65,7 +63,7 @@
 
 def get_injection_data(
     injection_file: Path,
-    pipelines: List[str],
+    pipelines: list[str],
     detection_criterion: str,
 ):
     injection_params = {}
@@ -118,7 +116,7 @@ def logprob_mass2_lognorm(m2, m1, params):
     return np.where(
         m2 < m1,
         stats.lognorm.logpdf(m2, sig_lognorm_m2, scale=m2_mean) + logc,
-        np.NINF,
+        -np.inf,
     )
 
 
@@ -150,7 +148,7 @@ def logprob_spin(sx, sy, sz, params):
     smax = params["smax"]
     s2 = sx**2 + sy**2 + sz**2
     return np.where(
-        s2 < smax**2, -np.log(4 * np.pi) - np.log(smax) - np.log(s2), np.NINF
+        s2 < smax**2, -np.log(4 * np.pi) - np.log(smax) - np.log(s2), -np.inf
     )
 
 
@@ -235,8 +233,8 @@ def get_logVT(log_dN, selection, T_obs, N_draw, p_draw):
 
 
 def get_logdNs(
-    mass_combos: List[Tuple[float]],
-    injection_params: Dict,
+    mass_combos: list[tuple[float]],
+    injection_params: dict,
     sig_lognorm: float,
     smax_ns: float,
     smax_bh: float,
@@ -266,12 +264,12 @@ def get_logdNs(
 
 
 def main(
-    mass_combos: List[float],
+    mass_combos: list[float],
     injection_file: Path,
     detection_criterion: str,
-    detection_thresholds: List[float],
+    detection_thresholds: list[float],
     output_dir: Path,
-    pipelines: List[str] = None,
+    pipelines: list[str] = None,
     sig_lognorm: float = 0.1,
     smax_ns: float = 0.4,
     smax_bh: float = 0.998,
diff --git a/projects/plots/plots/legacy/main.py b/projects/plots/plots/legacy/main.py
index 67024283d..497ada32d 100644
--- a/projects/plots/plots/legacy/main.py
+++ b/projects/plots/plots/legacy/main.py
@@ -1,22 +1,22 @@
 import logging
+from collections.abc import Callable
 from pathlib import Path
-from typing import Callable, List, Optional
 
 import h5py
 import jsonargparse
 import numpy as np
 from bokeh.io import save
 from bokeh.layouts import gridplot
-
 from ledger.events import EventSet, RecoveredInjectionSet
 from ledger.injections import InjectionParameterSet
-from plots.legacy import compute, tools
-from plots.legacy.gwtc3 import main as gwtc3_pipeline_sv
-from plots.vetos import VETO_CATEGORIES, VetoParser, get_catalog_vetos
 from priors.priors import log_normal_masses
 from utils.cosmology import DEFAULT_COSMOLOGY, get_astrophysical_volume
 from utils.logging import configure_logging
 
+from plots.legacy import compute, tools
+from plots.legacy.gwtc3 import main as gwtc3_pipeline_sv
+from plots.vetos import VETO_CATEGORIES, VetoParser, get_catalog_vetos
+
 logging.getLogger("urllib3").setLevel(logging.WARNING)
 
 
@@ -46,16 +46,16 @@ def main(
     background: Path,
     foreground: Path,
     rejected_params: Path,
-    ifos: List[str],
-    mass_combos: List[tuple],
+    ifos: list[str],
+    mass_combos: list[tuple],
     source_prior: Callable,
     output_dir: Path,
-    log_file: Optional[Path] = None,
-    dt: Optional[float] = None,
+    log_file: Path | None = None,
+    dt: float | None = None,
     max_far: float = 365,
     sigma: float = 0.1,
     verbose: bool = False,
-    vetos: Optional[List[VETO_CATEGORIES]] = None,
+    vetos: list[VETO_CATEGORIES] | None = None,
 ):
     """
     Compute and plot the sensitive volume of an aframe analysis
diff --git a/projects/plots/plots/vetos/vetos.py b/projects/plots/plots/vetos/vetos.py
index df59f2d7f..07c5612cd 100644
--- a/projects/plots/plots/vetos/vetos.py
+++ b/projects/plots/plots/vetos/vetos.py
@@ -1,6 +1,6 @@
 import logging
 from pathlib import Path
-from typing import Dict, List, Literal
+from typing import Literal
 
 import numpy as np
 from gwosc import datasets
@@ -44,10 +44,10 @@ class VetoParser:
     def __init__(
         self,
         veto_definer_file: Path,
-        gate_paths: Dict[str, Path],
+        gate_paths: dict[str, Path],
         start: float,
         stop: float,
-        ifos: List[str],
+        ifos: list[str],
     ):
         self.logger = logging.getLogger("vizapp")
         self.vetos = DataQualityDict.from_veto_definer_file(veto_definer_file)
diff --git a/projects/plots/plots/vizapp/app.py b/projects/plots/plots/vizapp/app.py
index 89c9db786..ac13683c2 100644
--- a/projects/plots/plots/vizapp/app.py
+++ b/projects/plots/plots/vizapp/app.py
@@ -1,16 +1,17 @@
 import logging
+from collections.abc import Callable
 from pathlib import Path
-from typing import TYPE_CHECKING, Callable, List, Optional
+from typing import TYPE_CHECKING
 
 import torch
 from bokeh.layouts import column, row
 from bokeh.models import Div, TabPanel, Tabs
+from utils.logging import configure_logging
+from utils.s3 import open_file
 
 from plots.vetos import VETO_CATEGORIES
 from plots.vizapp.data import DataManager
 from plots.vizapp.pages import Analysis, Summary
-from utils.logging import configure_logging
-from utils.s3 import open_file
 
 if TYPE_CHECKING:
     from plots.pages import Page
@@ -27,8 +28,8 @@ def __init__(
         background_dir: Path,
         waveforms_dir: Path,
         results_dir: Path,
-        ifos: List[str],
-        mass_combos: List[tuple],
+        ifos: list[str],
+        mass_combos: list[tuple],
         source_prior: Callable,
         kernel_length: float,
         psd_length: float,
@@ -42,7 +43,7 @@ def __init__(
         valid_frac: float,
         fftlength: float,
         device: str = "cpu",
-        vetos: Optional[VETO_CATEGORIES] = None,
+        vetos: VETO_CATEGORIES | None = None,
         verbose: bool = False,
     ) -> None:
         configure_logging(verbose=verbose)
@@ -82,11 +83,11 @@ def __init__(
         )
 
         # initialize all our pages and their constituent plots
-        self.pages: list["Page"] = []
+        self.pages: list[Page] = []
         tabs = []
 
         for page in [Summary, Analysis]:
-            page: "Page" = page(self)
+            page: Page = page(self)
             self.pages.append(page)
 
             title = page.__class__.__name__
diff --git a/projects/plots/plots/vizapp/data.py b/projects/plots/plots/vizapp/data.py
index c307fd0eb..f9c9b1c54 100644
--- a/projects/plots/plots/vizapp/data.py
+++ b/projects/plots/plots/vizapp/data.py
@@ -1,13 +1,12 @@
 import logging
 from copy import deepcopy
 from pathlib import Path
-from typing import Optional
 
 import numpy as np
 from bokeh.models import MultiChoice
-
 from ledger.events import EventSet, RecoveredInjectionSet
 from ledger.injections import InjectionParameterSet
+
 from plots.vetos import VETO_CATEGORIES, VetoParser
 
 
@@ -40,7 +39,7 @@ def __init__(
         results_dir: Path,
         waveforms_dir: Path,
         ifos: list[str],
-        vetos: Optional[VETO_CATEGORIES] = None,
+        vetos: VETO_CATEGORIES | None = None,
     ):
         self.logger = logging.getLogger("vizapp")
         self.ifos = ifos
diff --git a/projects/plots/plots/vizapp/infer/analyzer.py b/projects/plots/plots/vizapp/infer/analyzer.py
index 7b798cb77..37904c3d8 100644
--- a/projects/plots/plots/vizapp/infer/analyzer.py
+++ b/projects/plots/plots/vizapp/infer/analyzer.py
@@ -1,15 +1,15 @@
+from collections.abc import Sequence
 from pathlib import Path
-from typing import Dict, List, Sequence
 
 import h5py
 import numpy as np
 import torch
 from gwpy.timeseries import TimeSeries
-
 from ledger.injections import InterferometerResponseSet, waveform_class_factory
-from plots.vizapp.infer.utils import get_indices, get_strain_fname
 from utils.preprocessing import BackgroundSnapshotter, BatchWhitener
 
+from plots.vizapp.infer.utils import get_indices, get_strain_fname
+
 
 class EventAnalyzer:
     """
@@ -32,7 +32,7 @@ def __init__(
         lowpass: float,
         fftlength: float,
         device: str,
-        ifos: List[str],
+        ifos: list[str],
         padding: int = 3,
     ):
         self.model = model
@@ -204,7 +204,7 @@ def analyze(self, time, shifts, foreground):
 
         return nn, integrated, whitened
 
-    def get_fft(self, strain: Dict[str, np.ndarray]):
+    def get_fft(self, strain: dict[str, np.ndarray]):
         ffts = {}
         for ifo in self.ifos:
             data = strain[ifo]
@@ -216,7 +216,7 @@ def get_fft(self, strain: Dict[str, np.ndarray]):
 
         return freqs, ffts
 
-    def qscan(self, strain: Dict[str, np.ndarray]):
+    def qscan(self, strain: dict[str, np.ndarray]):
         qscans = []
         for ifo in self.ifos:
             data = strain[ifo]
diff --git a/projects/plots/plots/vizapp/infer/utils.py b/projects/plots/plots/vizapp/infer/utils.py
index fbfe74be5..8377f496c 100644
--- a/projects/plots/plots/vizapp/infer/utils.py
+++ b/projects/plots/plots/vizapp/infer/utils.py
@@ -23,9 +23,8 @@ def get_strain_fname(data_dir: Path, time: float):
     # if no file found, raise error
     else:
         raise ValueError(
-            "No file containing event time {} in data directory {}".format(
-                time, data_dir
-            )
+            f"No file containing event time {time} in data "
+            f"directory {data_dir}"
         )
     return fname, t0, dur
 
diff --git a/projects/plots/plots/vizapp/pages/analysis/distribution.py b/projects/plots/plots/vizapp/pages/analysis/distribution.py
index dd85e3fde..2e4870103 100644
--- a/projects/plots/plots/vizapp/pages/analysis/distribution.py
+++ b/projects/plots/plots/vizapp/pages/analysis/distribution.py
@@ -328,12 +328,9 @@ def update(self, background, foreground):
         self.foreground = foreground
 
         title = (
-            "{} background events from {:0.2f} "
-            "days worth of data; {} injections overlayed"
-        ).format(
-            len(self.background),
-            self.background.Tb / 3600 / 24,
-            len(self.foreground),
+            f"{len(self.background)} background events from "
+            f"{self.background.Tb / 3600 / 24:0.2f} days worth "
+            f"of data; {len(self.foreground)} injections overlayed"
         )
         background_dict, foreground_dict = self.asdict(
             self.background, self.foreground
diff --git a/projects/plots/plots/vizapp/pages/analysis/inspector.py b/projects/plots/plots/vizapp/pages/analysis/inspector.py
index 5127fa63c..657aa8605 100644
--- a/projects/plots/plots/vizapp/pages/analysis/inspector.py
+++ b/projects/plots/plots/vizapp/pages/analysis/inspector.py
@@ -1,5 +1,6 @@
 import io
-from typing import TYPE_CHECKING, Sequence
+from collections.abc import Sequence
+from typing import TYPE_CHECKING
 
 import numpy as np
 from bokeh.layouts import column, row
diff --git a/projects/plots/plots/vizapp/pages/page.py b/projects/plots/plots/vizapp/pages/page.py
index f788bad68..257b8abae 100644
--- a/projects/plots/plots/vizapp/pages/page.py
+++ b/projects/plots/plots/vizapp/pages/page.py
@@ -2,8 +2,8 @@
 
 if TYPE_CHECKING:
     from bokeh.layouts import LayoutDOM
-
     from ledger.events import EventSet, RecoveredInjectionSet
+
     from plots.vizapp.app import App
 
 
diff --git a/projects/plots/plots/vizapp/pages/summary/gwtc3.py b/projects/plots/plots/vizapp/pages/summary/gwtc3.py
index addc85205..b740d2897 100644
--- a/projects/plots/plots/vizapp/pages/summary/gwtc3.py
+++ b/projects/plots/plots/vizapp/pages/summary/gwtc3.py
@@ -1,6 +1,5 @@
 import logging
 from pathlib import Path
-from typing import Dict, List, Tuple
 from urllib.request import urlretrieve
 
 import astropy.cosmology as cosmo
@@ -9,7 +8,6 @@
 import numpy as np
 import scipy.stats as stats
 from tqdm import tqdm
-
 from utils.cosmology import DEFAULT_COSMOLOGY
 
 catalog_results = {
@@ -65,7 +63,7 @@
 
 def get_injection_data(
     injection_file: Path,
-    pipelines: List[str],
+    pipelines: list[str],
     detection_criterion: str,
 ):
     injection_params = {}
@@ -115,7 +113,7 @@ def logprob_mass2_lognorm(m2, m1, params):
     return np.where(
         m2 < m1,
         stats.lognorm.logpdf(m2, sig_lognorm_m2, scale=m2_mean) + logc,
-        np.NINF,
+        -np.inf,
     )
 
 
@@ -147,7 +145,7 @@ def logprob_spin(sx, sy, sz, params):
     smax = params["smax"]
     s2 = sx**2 + sy**2 + sz**2
     return np.where(
-        s2 < smax**2, -np.log(4 * np.pi) - np.log(smax) - np.log(s2), np.NINF
+        s2 < smax**2, -np.log(4 * np.pi) - np.log(smax) - np.log(s2), -np.inf
     )
 
 
@@ -232,8 +230,8 @@ def get_logVT(log_dN, selection, T_obs, N_draw, p_draw):
 
 
 def get_logdNs(
-    mass_combos: List[Tuple[float]],
-    injection_params: Dict,
+    mass_combos: list[tuple[float]],
+    injection_params: dict,
     sig_lognorm: float,
     smax_ns: float,
     smax_bh: float,
@@ -263,12 +261,12 @@ def get_logdNs(
 
 
 def main(
-    mass_combos: List[float],
+    mass_combos: list[float],
     injection_file: Path,
     detection_criterion: str,
-    detection_thresholds: List[float],
+    detection_thresholds: list[float],
     output_dir: Path,
-    pipelines: List[str] = None,
+    pipelines: list[str] = None,
     sig_lognorm: float = 0.1,
     smax_ns: float = 0.4,
     smax_bh: float = 0.998,
diff --git a/projects/plots/plots/vizapp/pages/summary/sv.py b/projects/plots/plots/vizapp/pages/summary/sv.py
index 117d0ec4b..41b5a4bcb 100644
--- a/projects/plots/plots/vizapp/pages/summary/sv.py
+++ b/projects/plots/plots/vizapp/pages/summary/sv.py
@@ -1,13 +1,11 @@
 import logging
 from pathlib import Path
-from typing import List, Optional
 
 import h5py
 import numpy as np
 from bilby.core.prior import PriorDict
 from bokeh.io import save
 from bokeh.layouts import gridplot
-
 from ledger.events import EventSet, RecoveredInjectionSet
 from ledger.injections import InjectionParameterSet
 from priors.priors import log_normal_masses
@@ -31,9 +29,9 @@ def __init__(
         background: EventSet,
         foreground: RecoveredInjectionSet,
         rejected_params: InjectionParameterSet,
-        mass_combos: List[tuple],
+        mass_combos: list[tuple],
         source_prior: PriorDict,
-        dt: Optional[float] = None,
+        dt: float | None = None,
         max_far: float = 100 / SECONDS_PER_MONTH,
         sigma: float = 0.1,
     ):
diff --git a/projects/train/tests/test_augmentations.py b/projects/train/tests/test_augmentations.py
index ac163efff..4c349889c 100644
--- a/projects/train/tests/test_augmentations.py
+++ b/projects/train/tests/test_augmentations.py
@@ -3,7 +3,6 @@
 import numpy as np
 import pytest
 import torch
-
 from train.augmentations import ChannelSwapper
 
 
diff --git a/projects/train/train/augmentations.py b/projects/train/train/augmentations.py
index 9b272caee..bcbbee354 100644
--- a/projects/train/train/augmentations.py
+++ b/projects/train/train/augmentations.py
@@ -1,5 +1,3 @@
-from typing import Optional, Union
-
 import torch
 from ml4gw import gw
 from ml4gw.distributions import PowerLaw
@@ -75,8 +73,8 @@ class SnrRescaler(torch.nn.Module):
     def __init__(
         self,
         sample_rate: float,
-        highpass: Optional[float] = None,
-        lowpass: Optional[float] = None,
+        highpass: float | None = None,
+        lowpass: float | None = None,
     ) -> None:
         super().__init__()
         self.sample_rate = sample_rate
@@ -87,7 +85,7 @@ def forward(
         self,
         responses: gw.WaveformTensor,
         psds: torch.Tensor,
-        target_snrs: Union[BatchTensor, float, None],
+        target_snrs: BatchTensor | float | None,
     ) -> gw.WaveformTensor:
         # we can either specify one PSD for all batch
         # elements, or a PSD for each batch element
@@ -95,9 +93,7 @@ def forward(
             raise ValueError(
                 "Background PSDs must either be two dimensional "
                 "or have a PSD specified for every element in the "
-                "batch. Expected {}, found {}".format(
-                    len(responses), len(psds)
-                )
+                f"batch. Expected {len(responses)}, found {len(psds)}"
             )
 
         # interpolate the number of PSD frequency bins down
@@ -199,8 +195,8 @@ def __init__(
         self,
         ifos: list[str],
         sample_rate: float,
-        highpass: Optional[float] = None,
-        lowpass: Optional[float] = None,
+        highpass: float | None = None,
+        lowpass: float | None = None,
     ) -> None:
         super().__init__()
         tensors, vertices = gw.get_ifo_geometry(*ifos)
@@ -215,8 +211,8 @@ def forward(
         dec: torch.Tensor,
         psi: torch.Tensor,
         phi: torch.Tensor,
-        snrs: Union[torch.Tensor, float, None] = None,
-        psds: Optional[torch.Tensor] = None,
+        snrs: torch.Tensor | float | None = None,
+        psds: torch.Tensor | None = None,
         **polarizations: torch.Tensor,
     ) -> torch.Tensor:
         responses = gw.compute_observed_strain(
diff --git a/projects/train/train/callbacks.py b/projects/train/train/callbacks.py
index b052558cc..3e6f9d2cf 100644
--- a/projects/train/train/callbacks.py
+++ b/projects/train/train/callbacks.py
@@ -1,7 +1,6 @@
 import io
 import os
 import shutil
-from typing import Optional
 
 import h5py
 import s3fs
@@ -21,7 +20,7 @@ class WandbSaveConfig(pl.cli.SaveConfigCallback):
     to ensure all the hyperparameters are logged to the WandB dashboard.
     """
 
-    def get_wandb_logger(self, trainer) -> Optional[WandbLogger]:
+    def get_wandb_logger(self, trainer) -> WandbLogger | None:
         for logger in trainer.loggers:
             if isinstance(logger, WandbLogger):
                 return logger
diff --git a/projects/train/train/data/base.py b/projects/train/train/data/base.py
index 556916f18..270660461 100644
--- a/projects/train/train/data/base.py
+++ b/projects/train/train/data/base.py
@@ -2,9 +2,8 @@
 import logging
 import os
 import sys
-from collections.abc import Sequence
+from collections.abc import Callable, Sequence
 from pathlib import Path
-from typing import Callable, Optional, Union
 
 import h5py
 import lightning.pytorch as pl
@@ -13,17 +12,17 @@
 from ml4gw.dataloading import Hdf5TimeSeriesDataset
 from ml4gw.transforms import Whiten
 from ml4gw.utils.slicing import unfold_windows
+from utils.preprocessing import PsdEstimator
 
 from train import augmentations as aug
 from train.data.utils import fs as fs_utils
-from train.metrics import get_timeslides
 from train.data.waveforms import (
     ChunkedWaveformDataset,
     Hdf5WaveformLoader,
     WaveformLoader,
     WaveformSampler,
 )
-from utils.preprocessing import PsdEstimator
+from train.metrics import get_timeslides
 
 Tensor = torch.Tensor
 Distribution = torch.distributions.Distribution
@@ -39,7 +38,7 @@
 # https://github.com/Lightning-AI/lightning/issues/16830,
 # we should switch to using a CombinedLoader for validation
 class ZippedDataset(torch.utils.data.IterableDataset):
-    def __init__(self, *datasets, minimum: Optional[int] = None):
+    def __init__(self, *datasets, minimum: int | None = None):
         super().__init__()
         self.datasets = datasets
         self.minimum = minimum
@@ -170,14 +169,12 @@ def __init__(
         waveform_prob: float = 1,
         left_pad: float = 0,
         right_pad: float = 0,
-        fftlength: Optional[float] = None,
-        highpass: Optional[float] = None,
-        lowpass: Optional[float] = None,
-        snr_sampler: Optional[
-            Union[TransformedDist, Callable[[int], Tensor]]
-        ] = None,
+        fftlength: float | None = None,
+        highpass: float | None = None,
+        lowpass: float | None = None,
+        snr_sampler: TransformedDist | Callable[[int], Tensor] | None = None,
         # validation args
-        valid_stride: Optional[float] = None,
+        valid_stride: float | None = None,
         num_valid_views: int = 4,
         min_valid_duration: float = 15000,
         valid_livetime: float = (3600 * 12),
@@ -239,9 +236,8 @@ def prepare_data(self):
         if bucket is None:
             return
         logger.info(
-            "Downloading background data from S3 bucket {} to {}".format(
-                bucket, self.background_dir
-            )
+            f"Downloading background data from S3 bucket {bucket} "
+            f"to {self.background_dir}"
         )
         fs_utils.download_training_data(bucket, self.background_dir)
 
@@ -249,9 +245,8 @@ def prepare_data(self):
         if bucket is None:
             return
         logger.info(
-            "Downloading waveform data from S3 bucket {} to {}".format(
-                bucket, self.waveforms_dir
-            )
+            f"Downloading waveform data from S3 bucket {bucket} "
+            f"to {self.waveforms_dir}"
         )
         fs_utils.download_training_data(bucket, self.waveforms_dir)
 
diff --git a/projects/train/train/data/supervised/__init__.py b/projects/train/train/data/supervised/__init__.py
index ff3ee5da0..947d9122e 100644
--- a/projects/train/train/data/supervised/__init__.py
+++ b/projects/train/train/data/supervised/__init__.py
@@ -1,3 +1,6 @@
+from .multimodal import MultiModalSupervisedAframeDataset
+from .supervised import SupervisedAframeDataset
+from .time_domain import TimeDomainSupervisedAframeDataset
 from .time_frequency_domain import (
     FrequencyDomainSupervisedAframeDataset,
     SpectrogramDomainSupervisedAframeDataset,
diff --git a/projects/train/train/data/supervised/supervised.py b/projects/train/train/data/supervised/supervised.py
index 66be2c57c..62ce9e4e2 100644
--- a/projects/train/train/data/supervised/supervised.py
+++ b/projects/train/train/data/supervised/supervised.py
@@ -1,5 +1,3 @@
-from typing import Optional
-
 import torch
 from ml4gw.utils.slicing import sample_kernels
 
@@ -11,8 +9,8 @@ class SupervisedAframeDataset(BaseAframeDataset):
     def __init__(
         self,
         *args,
-        swap_prob: Optional[float] = None,
-        mute_prob: Optional[float] = None,
+        swap_prob: float | None = None,
+        mute_prob: float | None = None,
         **kwargs,
     ) -> None:
         super().__init__(*args, **kwargs)
diff --git a/projects/train/train/data/utils/fs.py b/projects/train/train/data/utils/fs.py
index ff3989dd0..1d5822a8d 100644
--- a/projects/train/train/data/utils/fs.py
+++ b/projects/train/train/data/utils/fs.py
@@ -73,8 +73,8 @@ def _download(
                 break
             except (ResponseStreamingError, FSTimeoutError, ClientError):
                 logging.info(
-                    "Download attempt {} for object {} "
-                    "was interrupted, retrying".format(i + 1, source)
+                    f"Download attempt {i + 1} for object {source} "
+                    "was interrupted, retrying"
                 )
                 time.sleep(5)
                 try:
@@ -84,8 +84,8 @@ def _download(
 
     else:
         raise RuntimeError(
-            "Failed to download object {} due to repeated "
-            "connection interruptions".format(source)
+            f"Failed to download object {source} due to repeated "
+            "connection interruptions"
         )
 
 
@@ -94,9 +94,8 @@ def download_training_data(bucket: str, data_dir: str):
     Download s3 data if it doesn't exist.
     """
     logging.info(
-        "Downloading data from S3 bucket {} to local directory {}".format(
-            bucket, data_dir
-        )
+        f"Downloading data from S3 bucket {bucket} "
+        f"to local directory {data_dir}"
     )
 
     # make a local directory to cache data if it
diff --git a/projects/train/train/data/waveforms/generator/cbc.py b/projects/train/train/data/waveforms/generator/cbc.py
index adb572752..22622b5a0 100644
--- a/projects/train/train/data/waveforms/generator/cbc.py
+++ b/projects/train/train/data/waveforms/generator/cbc.py
@@ -1,4 +1,4 @@
-from typing import Callable
+from collections.abc import Callable
 
 import torch
 from ml4gw.waveforms.generator import TimeDomainCBCWaveformGenerator
diff --git a/projects/train/train/data/waveforms/generator/generator.py b/projects/train/train/data/waveforms/generator/generator.py
index 3352437fd..724af384f 100644
--- a/projects/train/train/data/waveforms/generator/generator.py
+++ b/projects/train/train/data/waveforms/generator/generator.py
@@ -1,9 +1,9 @@
 from typing import TYPE_CHECKING
 
-from ....prior import AframePrior
-from ..sampler import WaveformSampler
 import torch
 
+from ....prior import AframePrior
+from ..sampler import WaveformSampler
 
 if TYPE_CHECKING:
     pass
diff --git a/projects/train/train/data/waveforms/loader.py b/projects/train/train/data/waveforms/loader.py
index 3538ccdaf..bb690c73c 100644
--- a/projects/train/train/data/waveforms/loader.py
+++ b/projects/train/train/data/waveforms/loader.py
@@ -1,15 +1,14 @@
-from pathlib import Path
-
 import logging
 import math
 import warnings
-from typing import Iterable, Optional
+from collections.abc import Iterable
+from pathlib import Path
 
 import h5py
 import numpy as np
 import torch
-
 from ledger.injections import WaveformPolarizationSet
+
 from .sampler import WaveformSampler
 
 
@@ -90,7 +89,7 @@ def __init__(
         batch_size: int,
         batches_per_epoch: int,
         chunk_size: int = 1000,
-        path: Optional[Path] = None,
+        path: Path | None = None,
     ):
         self.fnames = fnames
         self.channels = channels
@@ -125,18 +124,17 @@ def __init__(
             self.sizes[fname] = len(dset)
             if dset.chunks is None:
                 warnings.warn(
-                    "File {} contains datasets that were generated "
+                    f"File {fnames} contains datasets that were generated "
                     "without using chunked storage. This can have "
                     "severe performance impacts at data loading time. "
                     "If you need faster loading, try re-generating "
-                    "your datset with chunked storage turned on.".format(
-                        fnames
-                    ),
+                    "your datset with chunked storage turned on.",
                     stacklevel=2,
                 )
 
         self.waveform_size = dset.shape[1]
         self.probs = np.array([i / self.total for i in self.sizes.values()])
+        self.rng = np.random.default_rng()
 
     @property
     def num_channels(self):
@@ -179,7 +177,7 @@ def sample_batch(self):
         )
 
         for i in range(self.chunks_per_batch):
-            fname = np.random.choice(self.fnames, p=self.probs)
+            fname = self.rng.choice(self.fnames, p=self.probs)
 
             chunk_size = min(
                 self.chunk_size, self.batch_size - i * self.chunk_size
@@ -187,7 +185,7 @@ def sample_batch(self):
 
             # select a random starting index for the chunk
             max_start = self.sizes[fname] - chunk_size
-            start = np.random.randint(0, max_start + 1)
+            start = self.rng.integers(0, max_start + 1)
 
             # load the chunk and insert it into the batch
             chunk = self.load_chunk(fname, start, chunk_size)
diff --git a/projects/train/train/data/waveforms/sampler.py b/projects/train/train/data/waveforms/sampler.py
index ea87be969..3843c47e1 100644
--- a/projects/train/train/data/waveforms/sampler.py
+++ b/projects/train/train/data/waveforms/sampler.py
@@ -1,10 +1,8 @@
 from pathlib import Path
-from typing import List
 
 import torch
-from utils import x_per_y
-
 from ledger.injections import WaveformSet, waveform_class_factory
+from utils import x_per_y
 
 Distribution = torch.distributions.Distribution
 
@@ -25,7 +23,7 @@ class WaveformSampler(torch.nn.Module):
     def __init__(
         self,
         *args,
-        ifos: List[str],
+        ifos: list[str],
         sample_rate: float,
         val_waveform_file: Path,
         **kwargs,
diff --git a/projects/train/train/metrics.py b/projects/train/train/metrics.py
index 7f16d642d..7393b2d6b 100644
--- a/projects/train/train/metrics.py
+++ b/projects/train/train/metrics.py
@@ -1,11 +1,9 @@
 import itertools
 from collections import defaultdict
-from typing import Optional
 
 import torch
 from torchmetrics import Metric
 from torchmetrics.classification import BinaryAUROC
-
 from utils import x_per_y
 
 
@@ -155,7 +153,7 @@ def num_steps(self):
         return size // self.stride_size + 1
 
     def new_bounds(
-        self, start: Optional[int] = None, stop: Optional[int] = None
+        self, start: int | None = None, stop: int | None = None
     ) -> "TimeSlide":
         """
         Basically return a new timeslide that points to the
diff --git a/projects/train/train/model/base.py b/projects/train/train/model/base.py
index ddc6c6072..c1565f1fc 100644
--- a/projects/train/train/model/base.py
+++ b/projects/train/train/model/base.py
@@ -1,6 +1,5 @@
 import logging
 import sys
-from typing import Union
 
 import lightning.pytorch as pl
 import torch
@@ -88,7 +87,7 @@ def forward(self, X: Tensor) -> Tensor:
         """
         raise NotImplementedError
 
-    def train_step(self, batch: Tensor) -> Union[Tensor, dict[str, Tensor]]:
+    def train_step(self, batch: Tensor) -> Tensor | dict[str, Tensor]:
         """
         Override this method to dictate how your model
         produces loss(es) to be optimized during training.
diff --git a/projects/train/train/model/supervised.py b/projects/train/train/model/supervised.py
index 77c68463d..18e31c510 100644
--- a/projects/train/train/model/supervised.py
+++ b/projects/train/train/model/supervised.py
@@ -1,8 +1,8 @@
 import torch
 from architectures.supervised import SupervisedArchitecture
 
-from train.model.base import AframeBase
 from train.metrics import TimeSlideAUROC
+from train.model.base import AframeBase
 
 Tensor = torch.Tensor
 
diff --git a/projects/train/train/prior.py b/projects/train/train/prior.py
index f4c18448f..5c4d5c186 100644
--- a/projects/train/train/prior.py
+++ b/projects/train/train/prior.py
@@ -1,4 +1,4 @@
-from typing import Callable, Optional
+from collections.abc import Callable
 
 import torch
 
@@ -7,8 +7,8 @@ class AframePrior:
     def __init__(
         self,
         priors: dict[str, torch.distributions.Distribution],
-        conversion_function: Optional[Callable] = None,
-        constraint_function: Optional[Callable] = None,
+        conversion_function: Callable | None = None,
+        constraint_function: Callable | None = None,
     ):
         """
         A class for sampling parameters from a prior distribution
diff --git a/scripts/aframe_init.py b/scripts/aframe_init.py
index 366a8ec83..3a684954d 100644
--- a/scripts/aframe_init.py
+++ b/scripts/aframe_init.py
@@ -4,7 +4,6 @@
 import shutil
 from pathlib import Path
 from textwrap import dedent
-from typing import Optional
 
 from jsonargparse import ArgumentParser
 
@@ -196,7 +195,7 @@ def create_online_runfile(path: Path):
 
 
 def create_offline_runfile(
-    path: Path, pipeline: str, s3_bucket: Optional[Path] = None
+    path: Path, pipeline: str, s3_bucket: Path | None = None
 ):
     # if s3 bucket is provided
     # store training data and training info there
diff --git a/scripts/build_containers.py b/scripts/build_containers.py
index 876ada93d..8f5ea85da 100644
--- a/scripts/build_containers.py
+++ b/scripts/build_containers.py
@@ -2,7 +2,6 @@
 import os
 from concurrent.futures import ProcessPoolExecutor, as_completed
 from pathlib import Path
-from typing import List
 
 from jsonargparse import ArgumentParser
 from spython.main import Client
@@ -11,7 +10,7 @@
 BASE_DIR: Path = Path(__file__).resolve().parent.parent / "projects"
 
 # List of all available project names
-PROJECTS: List[str] = [x.name for x in BASE_DIR.iterdir() if x.is_dir()]
+PROJECTS: list[str] = [x.name for x in BASE_DIR.iterdir() if x.is_dir()]
 
 
 def build_container(project_name: str, container_root: Path) -> str:
@@ -51,7 +50,7 @@ def build_container(project_name: str, container_root: Path) -> str:
         os.chdir(cwd)
 
 
-def validate_projects(projects: List[str]) -> None:
+def validate_projects(projects: list[str]) -> None:
     invalid = [p for p in projects if p not in PROJECTS]
     if invalid:
         raise ValueError(
@@ -60,7 +59,7 @@ def validate_projects(projects: List[str]) -> None:
         )
 
 
-def build(projects: List[str], container_root: Path, max_workers: int) -> None:
+def build(projects: list[str], container_root: Path, max_workers: int) -> None:
     if not container_root:
         logging.info("Container root path is not set.")
         return

From 8a6111f2ef29e18dfc2c1a4168157997a7451c2e Mon Sep 17 00:00:00 2001
From: William Benoit <benoi090@umn.edu>
Date: Sun, 12 Apr 2026 16:05:02 -0500
Subject: [PATCH 16/27] Update apptainer files and environments

---
 libs/ledger/tests/test_ledger.py |   6 +-
 projects/data/conda-lock.yml     | 127 +++++++++++--------
 projects/data/environment.yaml   |   2 +-
 projects/export/apptainer.def    |   2 +-
 projects/infer/apptainer.def     |   2 +-
 projects/online/conda-lock.yml   | 205 ++++++++++++++++++-------------
 projects/online/environment.yaml |   2 +-
 projects/plots/apptainer.def     |   2 +-
 projects/train/apptainer.def     |   2 +-
 9 files changed, 209 insertions(+), 141 deletions(-)

diff --git a/libs/ledger/tests/test_ledger.py b/libs/ledger/tests/test_ledger.py
index 7e12827b8..0bf007093 100644
--- a/libs/ledger/tests/test_ledger.py
+++ b/libs/ledger/tests/test_ledger.py
@@ -1,5 +1,5 @@
 from dataclasses import dataclass
-from unittest.mock import patch
+from unittest.mock import MagicMock, patch
 
 import numpy as np
 import pytest
@@ -31,7 +31,9 @@ def _test_read_write(self, obj, tmp_path):
         # patched so that we know what to expect.
         # Include duplicate and out-of-order indices
         idx = np.array([1, 0, 2, 1])
-        with patch("numpy.random.choice", return_value=idx):
+        mock_rng = MagicMock()
+        mock_rng.choice.return_value = idx
+        with patch("numpy.random.default_rng", return_value=mock_rng):
             new = obj.__class__.sample_from_file(fname, 3)
         assert len(new) == 4
         for key, field in obj.__dataclass_fields__.items():
diff --git a/projects/data/conda-lock.yml b/projects/data/conda-lock.yml
index 2a0a8158e..e0403f562 100644
--- a/projects/data/conda-lock.yml
+++ b/projects/data/conda-lock.yml
@@ -13,7 +13,7 @@
 version: 1
 metadata:
   content_hash:
-    linux-64: 6fcfe65c3c9c20a15eefe84e6348c56f5a051c6340120bbb47ad23d52b93d8ed
+    linux-64: 6f79beb3f876f034f1b8aec1fc1e0cdfb4d00b47f80675b4f082c452ff724c3a
   channels:
   - url: conda-forge
     used_env_vars: []
@@ -365,17 +365,17 @@ package:
     sha256: ec30e52a3c1bf7d0425380a189d209a52baa03f22fb66dd3eb587acaa765bd6d
   category: main
   optional: false
-- name: libmpdec
-  version: 4.0.0
+- name: libnsl
+  version: 2.0.1
   manager: conda
   platform: linux-64
   dependencies:
     __glibc: '>=2.17,<3.0.a0'
-    libgcc: '>=14'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libmpdec-4.0.0-hb03c661_1.conda
+    libgcc: '>=13'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libnsl-2.0.1-hb9d3cd8_1.conda
   hash:
-    md5: 2c21e66f50753a083cbe6b80f38268fa
-    sha256: fe171ed5cf5959993d43ff72de7596e8ac2853e9021dec0344e583734f1e0843
+    md5: d864d34357c3b65a4b731f78c0801dc4
+    sha256: 927fe72b054277cde6cb82597d0fcf6baf127dcbce2e0a9d8925a68f1265eef5
   category: main
   optional: false
 - name: libntlm
@@ -540,11 +540,11 @@ package:
     liblapack: '>=3.9.0,<4.0a0'
     libstdcxx: '>=14'
     python: ''
-    python_abi: 3.13.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/numpy-2.4.3-py313hf6604e3_0.conda
+    python_abi: 3.12.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/numpy-2.4.3-py312h33ff503_0.conda
   hash:
-    md5: c4a9d2e77eb9fee983a70cf5f047c202
-    sha256: bcf75998ea3ae133df3580fb427d1054b006b093799430f499fd7ce8207d34c7
+    md5: 5930ee8a175a242b4f001b1e9e72024f
+    sha256: 1aab7ba963affa572956b1bd8d239df52a9c7bc799c560f98bc658ab70224e10
   category: main
   optional: false
 - name: openssl
@@ -561,45 +561,59 @@ package:
     sha256: c0ef482280e38c71a08ad6d71448194b719630345b0c9c60744a2010e8a8e0cb
   category: main
   optional: false
+- name: packaging
+  version: '26.0'
+  manager: conda
+  platform: linux-64
+  dependencies:
+    python: ''
+  url: https://conda.anaconda.org/conda-forge/noarch/packaging-26.0-pyhcf101f3_0.conda
+  hash:
+    md5: b76541e68fea4d511b1ac46a28dcd2c6
+    sha256: c1fc0f953048f743385d31c468b4a678b3ad20caffdeaa94bed85ba63049fd58
+  category: main
+  optional: false
 - name: pip
   version: 26.0.1
   manager: conda
   platform: linux-64
   dependencies:
-    python: '>=3.13.0a0'
-  url: https://conda.anaconda.org/conda-forge/noarch/pip-26.0.1-pyh145f28c_0.conda
+    python: '>=3.10,<3.13.0a0'
+    setuptools: ''
+    wheel: ''
+  url: https://conda.anaconda.org/conda-forge/noarch/pip-26.0.1-pyh8b19718_0.conda
   hash:
-    md5: 09a970fbf75e8ed1aa633827ded6aa4f
-    sha256: 5f66ea31d62188c266c5a8752119b0cc90a5bf05963f665cf48a33e0ec58d39c
+    md5: 67bdec43082fd8a9cffb9484420b39a2
+    sha256: 8e1497814a9997654ed7990a79c054ea5a42545679407acbc6f7e809c73c9120
   category: main
   optional: false
 - name: python
-  version: 3.13.13
+  version: 3.12.13
   manager: conda
   platform: linux-64
   dependencies:
     __glibc: '>=2.17,<3.0.a0'
     bzip2: '>=1.0.8,<2.0a0'
     ld_impl_linux-64: '>=2.36.1'
-    libexpat: '>=2.7.5,<3.0a0'
+    libexpat: '>=2.7.4,<3.0a0'
     libffi: '>=3.5.2,<3.6.0a0'
     libgcc: '>=14'
     liblzma: '>=5.8.2,<6.0a0'
-    libmpdec: '>=4.0.0,<5.0a0'
-    libsqlite: '>=3.52.0,<4.0a0'
-    libuuid: '>=2.42,<3.0a0'
-    libzlib: '>=1.3.2,<2.0a0'
+    libnsl: '>=2.0.1,<2.1.0a0'
+    libsqlite: '>=3.51.2,<4.0a0'
+    libuuid: '>=2.41.3,<3.0a0'
+    libxcrypt: '>=4.4.36'
+    libzlib: '>=1.3.1,<2.0a0'
     ncurses: '>=6.5,<7.0a0'
-    openssl: '>=3.5.6,<4.0a0'
+    openssl: '>=3.5.5,<4.0a0'
     pip: ''
-    python_abi: 3.13.*
     readline: '>=8.3,<9.0a0'
     tk: '>=8.6.13,<8.7.0a0'
     tzdata: ''
-  url: https://conda.anaconda.org/conda-forge/linux-64/python-3.13.13-h6add32d_100_cp313.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/python-3.12.13-hd63d673_0_cpython.conda
   hash:
-    md5: 05051be49267378d2fcd12931e319ac3
-    sha256: 7f77eb57648f545c1f58e10035d0d9d66b0a0efb7c4b58d3ed89ec7269afdde1
+    md5: 7eccb41177e15cc672e1babe9056018e
+    sha256: a44655c1c3e1d43ed8704890a91e12afd68130414ea2c0872e154e5633a13d7e
   category: main
   optional: false
 - name: python-daemon
@@ -638,12 +652,12 @@ package:
     __glibc: '>=2.17,<3.0.a0'
     libgcc: '>=14'
     libstdcxx: '>=14'
-    python: '>=3.13,<3.14.0a0'
-    python_abi: 3.13.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/python-ldas-tools-al-2.6.11-py313h7037e92_2.conda
+    python: '>=3.12,<3.13.0a0'
+    python_abi: 3.12.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/python-ldas-tools-al-2.6.11-py312hd9148b4_2.conda
   hash:
-    md5: cb0f3768d138d0bee39ac89c393e2dd6
-    sha256: f47c14e30586efc8674dcd919cb51b95471100d440751c1cc2d258b0d95c3cdb
+    md5: d0c2b9196765c45a71d079f93a4a9993
+    sha256: 2491711ae906f22f470755a348346d8af00353ba156568a46e5510056f7dd5b4
   category: main
   optional: false
 - name: python-ldas-tools-framecpp
@@ -658,13 +672,13 @@ package:
     libgcc: '>=14'
     libstdcxx: '>=14'
     numpy: '>=1.23,<3'
-    python: '>=3.13,<3.14.0a0'
+    python: '>=3.12,<3.13.0a0'
     python-ldas-tools-al: '>=2.6.10'
-    python_abi: 3.13.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/python-ldas-tools-framecpp-2.6.14-py313hcce9d79_9.conda
+    python_abi: 3.12.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/python-ldas-tools-framecpp-2.6.14-py312h25b3ab5_9.conda
   hash:
-    md5: 7acf2240082fd37f7f179579a2f79c7a
-    sha256: 9a3352dd2a24e4085d6d867d5969c95ad89754d9fa72875e384628861f8b0317
+    md5: 85092c5eaf659f6d2e63b03ae52e3ec2
+    sha256: 0e18a73066505c458df806b5508c000c950c99293f1e34e3b9792e60d99d7ece
   category: main
   optional: false
 - name: python-nds2-client
@@ -677,23 +691,23 @@ package:
     libstdcxx: '>=14'
     nds2-client: '>=0.16.8,<0.17.0a0'
     numpy: '>=1.23,<3'
-    python: '>=3.13,<3.14.0a0'
-    python_abi: 3.13.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/python-nds2-client-0.16.12-py313h08cd8bf_8.conda
+    python: '>=3.12,<3.13.0a0'
+    python_abi: 3.12.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/python-nds2-client-0.16.12-py312hf79963d_8.conda
   hash:
-    md5: 956ba13302b912530bea6d4139ce5df6
-    sha256: f4944123cee0f67f47294a13f9ddde97fda9534beb44dccee49d19c24820e49d
+    md5: 38dbadd66c561f15d7b777f9bf5d9ea8
+    sha256: c87e135a49634d77198e8b64dcd8982935fe505a784afe497d8bf4d95f741668
   category: main
   optional: false
 - name: python_abi
-  version: '3.13'
+  version: '3.12'
   manager: conda
   platform: linux-64
   dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.13-8_cp313.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.12-8_cp312.conda
   hash:
-    md5: 94305520c52a4aa3f6c2b1ff6008d9f8
-    sha256: 210bffe7b121e651419cb196a2a63687b087497595c9be9d20ebe97dd06060a7
+    md5: c3efd25ac4d74b1584d2f7a57195ddf1
+    sha256: 80677180dd3c22deb7426ca89d6203f1c7f1f256f2d5a94dc210f6e758229809
   category: main
   optional: false
 - name: readline
@@ -767,12 +781,12 @@ package:
   dependencies:
     __glibc: '>=2.17,<3.0.a0'
     libgcc: '>=14'
-    python: '>=3.13,<3.14.0a0'
-    python_abi: 3.13.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/tornado-6.5.5-py313h07c4f96_0.conda
+    python: '>=3.12,<3.13.0a0'
+    python_abi: 3.12.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/tornado-6.5.5-py312h4c3975b_0.conda
   hash:
-    md5: 6c0b0ae017b5bfd9c8d718217efd8f14
-    sha256: 9e8497e1ecca77d03c6be2d3b5f901dfe0ab99686af4fb94ab418b7d449ac547
+    md5: 2b37798adbc54fd9e591d24679d2133a
+    sha256: 4629b1c9139858fb08bb357df917ffc12e4d284c57ff389806bb3ae476ef4e0a
   category: main
   optional: false
 - name: typing_extensions
@@ -812,6 +826,19 @@ package:
     sha256: b4e119c6776d5f752f7f10a1e4810dcbcfe0a6b32cc23689b0009f93af76bf6c
   category: main
   optional: false
+- name: wheel
+  version: 0.46.3
+  manager: conda
+  platform: linux-64
+  dependencies:
+    packaging: '>=24.0'
+    python: '>=3.10'
+  url: https://conda.anaconda.org/conda-forge/noarch/wheel-0.46.3-pyhd8ed1ab_0.conda
+  hash:
+    md5: bdbd7385b4a67025ac2dba4ef8cb6a8f
+    sha256: d6cf2f0ebd5e09120c28ecba450556ce553752652d91795442f0e70f837126ae
+  category: main
+  optional: false
 - name: zstd
   version: 1.5.7
   manager: conda
diff --git a/projects/data/environment.yaml b/projects/data/environment.yaml
index 349503172..266fe72b9 100644
--- a/projects/data/environment.yaml
+++ b/projects/data/environment.yaml
@@ -3,7 +3,7 @@ channels:
   - conda-forge
 dependencies:
   # python/env management
-  - python>=3.11,<3.14
+  - python>=3.11,<3.13
   - pip
   - uv
   # C libraries not available on PyPI
diff --git a/projects/export/apptainer.def b/projects/export/apptainer.def
index 8ec35a01e..27fc4450c 100644
--- a/projects/export/apptainer.def
+++ b/projects/export/apptainer.def
@@ -1,5 +1,5 @@
 Bootstrap: docker
-From: ghcr.io/astral-sh/uv:0.6.10-python3.10-bookworm-slim
+From: ghcr.io/astral-sh/uv:0.11.6-python3.12-alpine
 
 %files
 . /opt/aframe/projects/export/
diff --git a/projects/infer/apptainer.def b/projects/infer/apptainer.def
index 01ad0568a..873c8aba9 100644
--- a/projects/infer/apptainer.def
+++ b/projects/infer/apptainer.def
@@ -1,5 +1,5 @@
 Bootstrap: docker
-From: ghcr.io/astral-sh/uv:0.6.10-python3.10-bookworm-slim
+From: ghcr.io/astral-sh/uv:0.11.6-python3.12-alpine
 
 %files
 # only copy precisely the files we need to keep things
diff --git a/projects/online/conda-lock.yml b/projects/online/conda-lock.yml
index b420f8adf..e8852ccdc 100644
--- a/projects/online/conda-lock.yml
+++ b/projects/online/conda-lock.yml
@@ -13,7 +13,7 @@
 version: 1
 metadata:
   content_hash:
-    linux-64: 3cb06b8a0fcbb8b01f034bb18814834967a85b4be4b2f605f7c8ab4557374b68
+    linux-64: a8f2a0e87245150d5cee18c35065b3db5d75f0c34071ba3260f1e2e0dada840a
   channels:
   - url: conda-forge
     used_env_vars: []
@@ -44,12 +44,12 @@ package:
     __glibc: '>=2.17,<3.0.a0'
     libgcc: '>=14'
     python: ''
-    python_abi: 3.13.*
+    python_abi: 3.12.*
     zstd: '>=1.5.7,<1.6.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/backports.zstd-1.3.0-py313h18e8e13_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/backports.zstd-1.3.0-py312h90b7ffd_0.conda
   hash:
-    md5: d9e90792551a527200637e23a915dd79
-    sha256: 9552afbec37c4d8d0e83a5c4c6b3c7f4b8785f935094ce3881e0a249045909ce
+    md5: 5b8c55fed2e576dde4b0b33693a4fdb1
+    sha256: d77a24be15e283d83214121428290dbe55632a6e458378205b39c550afa008cf
   category: main
   optional: false
 - name: bcrypt
@@ -60,11 +60,11 @@ package:
     __glibc: '>=2.17,<3.0.a0'
     libgcc: '>=14'
     python: ''
-    python_abi: 3.13.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/bcrypt-5.0.0-py313h843e2db_1.conda
+    python_abi: 3.12.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/bcrypt-5.0.0-py312h868fb18_1.conda
   hash:
-    md5: b59ec3796cba93d0db5f71e361176f27
-    sha256: cdf7496797af275f8bb5edd270aa06303dde623c7dd3a5941b0ce085d8f4cdc5
+    md5: 8fbbd949c452efde5a75b62b22a88938
+    sha256: 22020286e3d27eba7c9efef79c1020782885992aea0e7d28d7274c4405001521
   category: main
   optional: false
 - name: brotli-python
@@ -75,12 +75,12 @@ package:
     __glibc: '>=2.17,<3.0.a0'
     libgcc: '>=14'
     libstdcxx: '>=14'
-    python: '>=3.13,<3.14.0a0'
-    python_abi: 3.13.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.2.0-py313hf159716_1.conda
+    python: '>=3.12,<3.13.0a0'
+    python_abi: 3.12.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.2.0-py312hdb49522_1.conda
   hash:
-    md5: 6c4d3597cf43f3439a51b2b13e29a4ba
-    sha256: dadec2879492adede0a9af0191203f9b023f788c18efd45ecac676d424c458ae
+    md5: 64088dffd7413a2dd557ce837b4cbbdb
+    sha256: 49df13a1bb5e388ca0e4e87022260f9501ed4192656d23dc9d9a1b4bf3787918
   category: main
   optional: false
 - name: bzip2
@@ -117,12 +117,12 @@ package:
     libffi: '>=3.5.2,<3.6.0a0'
     libgcc: '>=14'
     pycparser: ''
-    python: '>=3.13,<3.14.0a0'
-    python_abi: 3.13.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/cffi-2.0.0-py313hf46b229_1.conda
+    python: '>=3.12,<3.13.0a0'
+    python_abi: 3.12.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/cffi-2.0.0-py312h460c074_1.conda
   hash:
-    md5: d0616e7935acab407d1543b28c446f6f
-    sha256: 2162a91819945c826c6ef5efe379e88b1df0fe9a387eeba23ddcf7ebeacd5bd6
+    md5: 648ee28dcd4e07a1940a17da62eccd40
+    sha256: 7dafe8173d5f94e46cf9cd597cc8ff476a8357fbbd4433a8b5697b2864845d9c
   category: main
   optional: false
 - name: cryptography
@@ -134,12 +134,12 @@ package:
     cffi: '>=1.14'
     libgcc: '>=14'
     openssl: '>=3.5.6,<4.0a0'
-    python: '>=3.13,<3.14.0a0'
-    python_abi: 3.13.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/cryptography-46.0.7-py313heb322e3_0.conda
+    python: '>=3.12,<3.13.0a0'
+    python_abi: 3.12.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/cryptography-46.0.7-py312ha4b625e_0.conda
   hash:
-    md5: 9702a147e144f2e197c7dc5f0b4d059e
-    sha256: 02d6aad8b3f0fb92f22efb02aa9dd7605aab6c761fe27a86ab24b82fbb068f24
+    md5: ab9e1a0591be902a1707159b58460453
+    sha256: ec1635e4c3016f85d170f9f8d060f8a615d352b55bb39255a12dd3a1903d476c
   category: main
   optional: false
 - name: cyrus-sasl
@@ -205,14 +205,14 @@ package:
   dependencies:
     jq: ''
     paramiko: ''
-    python: '>=3.13,<3.14.0a0'
+    python: '>=3.12,<3.13.0a0'
     python-gssapi: ''
-    python_abi: 3.13.*
+    python_abi: 3.12.*
     urllib3: ''
-  url: https://conda.anaconda.org/conda-forge/linux-64/htgettoken-2.6-py313h78bf25f_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/htgettoken-2.6-py312h7900ff3_0.conda
   hash:
-    md5: 096f680e2d068b0fdc00ec329cb16f69
-    sha256: 69ac4383bedb4ed76c6f9b3a3031464928540a502880ca2a17fed743acbc6be5
+    md5: d341279ba84525b9ac1ea09e28c9022c
+    sha256: ed166a6c3b811acfd2269a218da9784e718975e6fe48b2fd9411d682c50510ac
   category: main
   optional: false
 - name: hyperframe
@@ -513,17 +513,17 @@ package:
     sha256: ec30e52a3c1bf7d0425380a189d209a52baa03f22fb66dd3eb587acaa765bd6d
   category: main
   optional: false
-- name: libmpdec
-  version: 4.0.0
+- name: libnsl
+  version: 2.0.1
   manager: conda
   platform: linux-64
   dependencies:
     __glibc: '>=2.17,<3.0.a0'
-    libgcc: '>=14'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libmpdec-4.0.0-hb03c661_1.conda
+    libgcc: '>=13'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libnsl-2.0.1-hb9d3cd8_1.conda
   hash:
-    md5: 2c21e66f50753a083cbe6b80f38268fa
-    sha256: fe171ed5cf5959993d43ff72de7596e8ac2853e9021dec0344e583734f1e0843
+    md5: d864d34357c3b65a4b731f78c0801dc4
+    sha256: 927fe72b054277cde6cb82597d0fcf6baf127dcbce2e0a9d8925a68f1265eef5
   category: main
   optional: false
 - name: libntlm
@@ -672,11 +672,11 @@ package:
     liblapack: '>=3.9.0,<4.0a0'
     libstdcxx: '>=14'
     python: ''
-    python_abi: 3.13.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/numpy-2.4.3-py313hf6604e3_0.conda
+    python_abi: 3.12.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/numpy-2.4.3-py312h33ff503_0.conda
   hash:
-    md5: c4a9d2e77eb9fee983a70cf5f047c202
-    sha256: bcf75998ea3ae133df3580fb427d1054b006b093799430f499fd7ce8207d34c7
+    md5: 5930ee8a175a242b4f001b1e9e72024f
+    sha256: 1aab7ba963affa572956b1bd8d239df52a9c7bc799c560f98bc658ab70224e10
   category: main
   optional: false
 - name: oniguruma
@@ -706,6 +706,18 @@ package:
     sha256: c0ef482280e38c71a08ad6d71448194b719630345b0c9c60744a2010e8a8e0cb
   category: main
   optional: false
+- name: packaging
+  version: '26.0'
+  manager: conda
+  platform: linux-64
+  dependencies:
+    python: ''
+  url: https://conda.anaconda.org/conda-forge/noarch/packaging-26.0-pyhcf101f3_0.conda
+  hash:
+    md5: b76541e68fea4d511b1ac46a28dcd2c6
+    sha256: c1fc0f953048f743385d31c468b4a678b3ad20caffdeaa94bed85ba63049fd58
+  category: main
+  optional: false
 - name: paramiko
   version: 4.0.0
   manager: conda
@@ -727,11 +739,13 @@ package:
   manager: conda
   platform: linux-64
   dependencies:
-    python: '>=3.13.0a0'
-  url: https://conda.anaconda.org/conda-forge/noarch/pip-26.0.1-pyh145f28c_0.conda
+    python: '>=3.10,<3.13.0a0'
+    setuptools: ''
+    wheel: ''
+  url: https://conda.anaconda.org/conda-forge/noarch/pip-26.0.1-pyh8b19718_0.conda
   hash:
-    md5: 09a970fbf75e8ed1aa633827ded6aa4f
-    sha256: 5f66ea31d62188c266c5a8752119b0cc90a5bf05963f665cf48a33e0ec58d39c
+    md5: 67bdec43082fd8a9cffb9484420b39a2
+    sha256: 8e1497814a9997654ed7990a79c054ea5a42545679407acbc6f7e809c73c9120
   category: main
   optional: false
 - name: pycparser
@@ -755,13 +769,13 @@ package:
     cffi: '>=1.4.1'
     libgcc: '>=14'
     libsodium: '>=1.0.21,<1.0.22.0a0'
-    python: '>=3.13,<3.14.0a0'
-    python_abi: 3.13.*
+    python: '>=3.12,<3.13.0a0'
+    python_abi: 3.12.*
     six: ''
-  url: https://conda.anaconda.org/conda-forge/linux-64/pynacl-1.6.2-py313h5008379_1.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/pynacl-1.6.2-py312h587e1b2_1.conda
   hash:
-    md5: c4426edfc5514a2c9be6871557bce52b
-    sha256: 51e80a7bef95025ad47a92acb69ee0e78f01e107655c86fe76abcde2ac688166
+    md5: 6e4d8ed581cc576435d366372054ac71
+    sha256: cc84dd07811861c800fb3f0df3fb64ea579adcb518a5daac6e1089baabd697d1
   category: main
   optional: false
 - name: pysocks
@@ -778,32 +792,32 @@ package:
   category: main
   optional: false
 - name: python
-  version: 3.13.13
+  version: 3.12.13
   manager: conda
   platform: linux-64
   dependencies:
     __glibc: '>=2.17,<3.0.a0'
     bzip2: '>=1.0.8,<2.0a0'
     ld_impl_linux-64: '>=2.36.1'
-    libexpat: '>=2.7.5,<3.0a0'
+    libexpat: '>=2.7.4,<3.0a0'
     libffi: '>=3.5.2,<3.6.0a0'
     libgcc: '>=14'
     liblzma: '>=5.8.2,<6.0a0'
-    libmpdec: '>=4.0.0,<5.0a0'
-    libsqlite: '>=3.52.0,<4.0a0'
-    libuuid: '>=2.42,<3.0a0'
-    libzlib: '>=1.3.2,<2.0a0'
+    libnsl: '>=2.0.1,<2.1.0a0'
+    libsqlite: '>=3.51.2,<4.0a0'
+    libuuid: '>=2.41.3,<3.0a0'
+    libxcrypt: '>=4.4.36'
+    libzlib: '>=1.3.1,<2.0a0'
     ncurses: '>=6.5,<7.0a0'
-    openssl: '>=3.5.6,<4.0a0'
+    openssl: '>=3.5.5,<4.0a0'
     pip: ''
-    python_abi: 3.13.*
     readline: '>=8.3,<9.0a0'
     tk: '>=8.6.13,<8.7.0a0'
     tzdata: ''
-  url: https://conda.anaconda.org/conda-forge/linux-64/python-3.13.13-h6add32d_100_cp313.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/python-3.12.13-hd63d673_0_cpython.conda
   hash:
-    md5: 05051be49267378d2fcd12931e319ac3
-    sha256: 7f77eb57648f545c1f58e10035d0d9d66b0a0efb7c4b58d3ed89ec7269afdde1
+    md5: 7eccb41177e15cc672e1babe9056018e
+    sha256: a44655c1c3e1d43ed8704890a91e12afd68130414ea2c0872e154e5633a13d7e
   category: main
   optional: false
 - name: python-gssapi
@@ -815,12 +829,12 @@ package:
     decorator: ''
     krb5: '>=1.22.2,<1.23.0a0'
     libgcc: '>=14'
-    python: '>=3.13,<3.14.0a0'
-    python_abi: 3.13.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/python-gssapi-1.11.1-py313h71539a6_1.conda
+    python: '>=3.12,<3.13.0a0'
+    python_abi: 3.12.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/python-gssapi-1.11.1-py312hf9980d4_1.conda
   hash:
-    md5: a8947f318cc031c773de398d469f78d6
-    sha256: 77fc6661f6da39ec977e2460df6218fff1470c8e79e4c6236c0b8885c2652a39
+    md5: 2c94a14272c456aaa2a024cfa6621c2e
+    sha256: 70deb9508f445f75e2e897a7fc069e1d8388712aa5f98cb0636bb35d1b9aa296
   category: main
   optional: false
 - name: python-ldas-tools-al
@@ -831,12 +845,12 @@ package:
     __glibc: '>=2.17,<3.0.a0'
     libgcc: '>=14'
     libstdcxx: '>=14'
-    python: '>=3.13,<3.14.0a0'
-    python_abi: 3.13.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/python-ldas-tools-al-2.6.11-py313h7037e92_2.conda
+    python: '>=3.12,<3.13.0a0'
+    python_abi: 3.12.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/python-ldas-tools-al-2.6.11-py312hd9148b4_2.conda
   hash:
-    md5: cb0f3768d138d0bee39ac89c393e2dd6
-    sha256: f47c14e30586efc8674dcd919cb51b95471100d440751c1cc2d258b0d95c3cdb
+    md5: d0c2b9196765c45a71d079f93a4a9993
+    sha256: 2491711ae906f22f470755a348346d8af00353ba156568a46e5510056f7dd5b4
   category: main
   optional: false
 - name: python-ldas-tools-framecpp
@@ -851,13 +865,13 @@ package:
     libgcc: '>=14'
     libstdcxx: '>=14'
     numpy: '>=1.23,<3'
-    python: '>=3.13,<3.14.0a0'
+    python: '>=3.12,<3.13.0a0'
     python-ldas-tools-al: '>=2.6.10'
-    python_abi: 3.13.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/python-ldas-tools-framecpp-2.6.14-py313hcce9d79_9.conda
+    python_abi: 3.12.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/python-ldas-tools-framecpp-2.6.14-py312h25b3ab5_9.conda
   hash:
-    md5: 7acf2240082fd37f7f179579a2f79c7a
-    sha256: 9a3352dd2a24e4085d6d867d5969c95ad89754d9fa72875e384628861f8b0317
+    md5: 85092c5eaf659f6d2e63b03ae52e3ec2
+    sha256: 0e18a73066505c458df806b5508c000c950c99293f1e34e3b9792e60d99d7ece
   category: main
   optional: false
 - name: python-nds2-client
@@ -870,23 +884,23 @@ package:
     libstdcxx: '>=14'
     nds2-client: '>=0.16.8,<0.17.0a0'
     numpy: '>=1.23,<3'
-    python: '>=3.13,<3.14.0a0'
-    python_abi: 3.13.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/python-nds2-client-0.16.12-py313h08cd8bf_8.conda
+    python: '>=3.12,<3.13.0a0'
+    python_abi: 3.12.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/python-nds2-client-0.16.12-py312hf79963d_8.conda
   hash:
-    md5: 956ba13302b912530bea6d4139ce5df6
-    sha256: f4944123cee0f67f47294a13f9ddde97fda9534beb44dccee49d19c24820e49d
+    md5: 38dbadd66c561f15d7b777f9bf5d9ea8
+    sha256: c87e135a49634d77198e8b64dcd8982935fe505a784afe497d8bf4d95f741668
   category: main
   optional: false
 - name: python_abi
-  version: '3.13'
+  version: '3.12'
   manager: conda
   platform: linux-64
   dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.13-8_cp313.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.12-8_cp312.conda
   hash:
-    md5: 94305520c52a4aa3f6c2b1ff6008d9f8
-    sha256: 210bffe7b121e651419cb196a2a63687b087497595c9be9d20ebe97dd06060a7
+    md5: c3efd25ac4d74b1584d2f7a57195ddf1
+    sha256: 80677180dd3c22deb7426ca89d6203f1c7f1f256f2d5a94dc210f6e758229809
   category: main
   optional: false
 - name: readline
@@ -903,6 +917,18 @@ package:
     sha256: 12ffde5a6f958e285aa22c191ca01bbd3d6e710aa852e00618fa6ddc59149002
   category: main
   optional: false
+- name: setuptools
+  version: 82.0.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    python: '>=3.10'
+  url: https://conda.anaconda.org/conda-forge/noarch/setuptools-82.0.1-pyh332efcf_0.conda
+  hash:
+    md5: 8e194e7b992f99a5015edbd4ebd38efd
+    sha256: 82088a6e4daa33329a30bc26dc19a98c7c1d3f05c0f73ce9845d4eab4924e9e1
+  category: main
+  optional: false
 - name: six
   version: 1.17.0
   manager: conda
@@ -970,6 +996,19 @@ package:
     sha256: b4e119c6776d5f752f7f10a1e4810dcbcfe0a6b32cc23689b0009f93af76bf6c
   category: main
   optional: false
+- name: wheel
+  version: 0.46.3
+  manager: conda
+  platform: linux-64
+  dependencies:
+    packaging: '>=24.0'
+    python: '>=3.10'
+  url: https://conda.anaconda.org/conda-forge/noarch/wheel-0.46.3-pyhd8ed1ab_0.conda
+  hash:
+    md5: bdbd7385b4a67025ac2dba4ef8cb6a8f
+    sha256: d6cf2f0ebd5e09120c28ecba450556ce553752652d91795442f0e70f837126ae
+  category: main
+  optional: false
 - name: zstd
   version: 1.5.7
   manager: conda
diff --git a/projects/online/environment.yaml b/projects/online/environment.yaml
index 4072c212d..39871b879 100644
--- a/projects/online/environment.yaml
+++ b/projects/online/environment.yaml
@@ -3,7 +3,7 @@ channels:
   - conda-forge
 dependencies:
   # python/env management
-  - python>=3.11,<3.14
+  - python>=3.11,<3.13
   - pip
   - uv
   # C libraries not available on PyPI
diff --git a/projects/plots/apptainer.def b/projects/plots/apptainer.def
index 3dc864ad8..e8c51976e 100644
--- a/projects/plots/apptainer.def
+++ b/projects/plots/apptainer.def
@@ -1,5 +1,5 @@
 Bootstrap: docker
-From: ghcr.io/astral-sh/uv:0.6.10-python3.10-bookworm-slim
+From: ghcr.io/astral-sh/uv:0.11.6-python3.12-alpine
 
 %files
 . /opt/aframe/projects/plots
diff --git a/projects/train/apptainer.def b/projects/train/apptainer.def
index 283c97ceb..c61515bfb 100644
--- a/projects/train/apptainer.def
+++ b/projects/train/apptainer.def
@@ -1,5 +1,5 @@
 Bootstrap: docker
-From: ghcr.io/astral-sh/uv:0.6.10-python3.10-bookworm-slim
+From: ghcr.io/astral-sh/uv:0.11.6-python3.12-alpine
 
 %files
 # only copy precisely the files we need to keep things

From bd3963697799b635a1d80d5ee78880fda696609b Mon Sep 17 00:00:00 2001
From: William Benoit <benoi090@umn.edu>
Date: Sun, 12 Apr 2026 16:20:07 -0500
Subject: [PATCH 17/27] Use apk

---
 projects/export/apptainer.def | 4 ++++
 projects/infer/apptainer.def  | 6 +++---
 projects/online/apptainer.def | 1 +
 projects/plots/apptainer.def  | 6 +++---
 projects/train/apptainer.def  | 6 +++---
 5 files changed, 14 insertions(+), 9 deletions(-)

diff --git a/projects/export/apptainer.def b/projects/export/apptainer.def
index 27fc4450c..58e6e9c31 100644
--- a/projects/export/apptainer.def
+++ b/projects/export/apptainer.def
@@ -8,6 +8,10 @@ From: ghcr.io/astral-sh/uv:0.11.6-python3.12-alpine
 ../../pyproject.toml /opt/aframe/pyproject.toml
 
 %post
+apk update
+apk install -y build-essential
+apk clean
+
 cd /opt/aframe/projects/export
 # Set venv dir outside of project for 
 # when binding the repo into the container
diff --git a/projects/infer/apptainer.def b/projects/infer/apptainer.def
index 873c8aba9..aa1dd3e4e 100644
--- a/projects/infer/apptainer.def
+++ b/projects/infer/apptainer.def
@@ -12,9 +12,9 @@ From: ghcr.io/astral-sh/uv:0.11.6-python3.12-alpine
 ../../pyproject.toml /opt/aframe/pyproject.toml
 
 %post
-apt-get update
-apt-get install -y build-essential
-apt-get clean
+apk update
+apk install -y build-essential
+apk clean
 
 cd /opt/aframe/projects/infer
 # Set venv dir outside of project for 
diff --git a/projects/online/apptainer.def b/projects/online/apptainer.def
index 22d9cf9e4..953d82082 100644
--- a/projects/online/apptainer.def
+++ b/projects/online/apptainer.def
@@ -9,6 +9,7 @@ Stage: build
 ../../libs/ledger /opt/aframe/libs/ledger
 ../../libs/p_astro /opt/aframe/libs/p_astro
 ../../pyproject.toml /opt/aframe/pyproject.toml
+../../../amplfi /opt/amplfi
 
 %post
 mkdir -p /cvmfs /hdfs /gpfs /ceph /hadoop
diff --git a/projects/plots/apptainer.def b/projects/plots/apptainer.def
index e8c51976e..5347564ed 100644
--- a/projects/plots/apptainer.def
+++ b/projects/plots/apptainer.def
@@ -11,9 +11,9 @@ From: ghcr.io/astral-sh/uv:0.11.6-python3.12-alpine
 
 %post
 # install git for pip installation
-apt-get update
-apt-get install -y build-essential
-apt-get clean
+apk update
+apk install -y build-essential
+apk clean
 
 cd /opt/aframe/projects/plots
 # Set venv dir outside of project for 
diff --git a/projects/train/apptainer.def b/projects/train/apptainer.def
index c61515bfb..7231edb7a 100644
--- a/projects/train/apptainer.def
+++ b/projects/train/apptainer.def
@@ -14,9 +14,9 @@ From: ghcr.io/astral-sh/uv:0.11.6-python3.12-alpine
 ../../libs/architectures /opt/aframe/libs/architectures
 
 %post
-apt-get update
-apt-get install -y build-essential
-apt-get clean
+apk update
+apk install -y build-essential
+apk clean
 
 cd /opt/aframe/projects/train
 # Set venv dir outside of project for 

From 2b1a814ea9ff8277adec9ce218a8f1d2c26c6f88 Mon Sep 17 00:00:00 2001
From: William Benoit <benoi090@umn.edu>
Date: Sun, 12 Apr 2026 16:31:12 -0500
Subject: [PATCH 18/27] Use correct apk syntax

---
 projects/export/apptainer.def  | 3 +--
 projects/export/pyproject.toml | 1 +
 projects/infer/apptainer.def   | 3 +--
 projects/infer/pyproject.toml  | 1 +
 projects/online/pyproject.toml | 1 +
 projects/plots/apptainer.def   | 3 +--
 projects/train/apptainer.def   | 3 +--
 7 files changed, 7 insertions(+), 8 deletions(-)

diff --git a/projects/export/apptainer.def b/projects/export/apptainer.def
index 58e6e9c31..67bd421ef 100644
--- a/projects/export/apptainer.def
+++ b/projects/export/apptainer.def
@@ -9,8 +9,7 @@ From: ghcr.io/astral-sh/uv:0.11.6-python3.12-alpine
 
 %post
 apk update
-apk install -y build-essential
-apk clean
+apk add build-essential --no-cache
 
 cd /opt/aframe/projects/export
 # Set venv dir outside of project for 
diff --git a/projects/export/pyproject.toml b/projects/export/pyproject.toml
index 18f309cc0..7b6427fca 100644
--- a/projects/export/pyproject.toml
+++ b/projects/export/pyproject.toml
@@ -36,6 +36,7 @@ explicit = true
 [tool.uv.sources]
 aframe = { path = "../../", editable = true }
 utils = { path = "../../libs/utils", editable = true }
+# TODO: point at released version once available
 ml4gw-hermes = { git = "https://github.com/ML4GW/hermes", branch = "dev" }
 
 [build-system]
diff --git a/projects/infer/apptainer.def b/projects/infer/apptainer.def
index aa1dd3e4e..a7a4c1eb5 100644
--- a/projects/infer/apptainer.def
+++ b/projects/infer/apptainer.def
@@ -13,8 +13,7 @@ From: ghcr.io/astral-sh/uv:0.11.6-python3.12-alpine
 
 %post
 apk update
-apk install -y build-essential
-apk clean
+apk add build-essential --no-cache
 
 cd /opt/aframe/projects/infer
 # Set venv dir outside of project for 
diff --git a/projects/infer/pyproject.toml b/projects/infer/pyproject.toml
index a89c15bfe..293203420 100644
--- a/projects/infer/pyproject.toml
+++ b/projects/infer/pyproject.toml
@@ -39,6 +39,7 @@ explicit = true
 aframe = { path = "../../", editable = true }
 utils = { path = "../../libs/utils", editable = true }
 ledger = { path = "../../libs/ledger", editable = true }
+# TODO: point at released version once available
 ml4gw-hermes = { git = "https://github.com/ML4GW/hermes", branch = "dev" }
 
 [build-system]
diff --git a/projects/online/pyproject.toml b/projects/online/pyproject.toml
index 5c21df11f..f16027762 100644
--- a/projects/online/pyproject.toml
+++ b/projects/online/pyproject.toml
@@ -53,6 +53,7 @@ utils = { path = "../../libs/utils", editable = true }
 ledger = { path = "../../libs/ledger", editable = true }
 p_astro = { path = "../../libs/p_astro", editable = true }
 architectures = { path = "../../libs/architectures", editable = true }
+# TODO: point at released version once available
 amplfi = { path = "../../../amplfi", editable = true }
 
 [build-system]
diff --git a/projects/plots/apptainer.def b/projects/plots/apptainer.def
index 5347564ed..08002565b 100644
--- a/projects/plots/apptainer.def
+++ b/projects/plots/apptainer.def
@@ -12,8 +12,7 @@ From: ghcr.io/astral-sh/uv:0.11.6-python3.12-alpine
 %post
 # install git for pip installation
 apk update
-apk install -y build-essential
-apk clean
+apk add build-essential --no-cache
 
 cd /opt/aframe/projects/plots
 # Set venv dir outside of project for 
diff --git a/projects/train/apptainer.def b/projects/train/apptainer.def
index 7231edb7a..5a6eb4d57 100644
--- a/projects/train/apptainer.def
+++ b/projects/train/apptainer.def
@@ -15,8 +15,7 @@ From: ghcr.io/astral-sh/uv:0.11.6-python3.12-alpine
 
 %post
 apk update
-apk install -y build-essential
-apk clean
+apk add build-essential --no-cache
 
 cd /opt/aframe/projects/train
 # Set venv dir outside of project for 

From 894a2e31f9f2795800266c2c21fb5ab1d130e632 Mon Sep 17 00:00:00 2001
From: William Benoit <benoi090@umn.edu>
Date: Sun, 12 Apr 2026 16:42:49 -0500
Subject: [PATCH 19/27] Revert to bookworm-slim base

---
 projects/export/apptainer.def | 5 +----
 projects/infer/apptainer.def  | 7 ++++---
 projects/plots/apptainer.def  | 7 ++++---
 projects/train/apptainer.def  | 7 ++++---
 4 files changed, 13 insertions(+), 13 deletions(-)

diff --git a/projects/export/apptainer.def b/projects/export/apptainer.def
index 67bd421ef..8e16eea93 100644
--- a/projects/export/apptainer.def
+++ b/projects/export/apptainer.def
@@ -1,5 +1,5 @@
 Bootstrap: docker
-From: ghcr.io/astral-sh/uv:0.11.6-python3.12-alpine
+From: ghcr.io/astral-sh/uv:python3.12-bookworm-slim
 
 %files
 . /opt/aframe/projects/export/
@@ -8,9 +8,6 @@ From: ghcr.io/astral-sh/uv:0.11.6-python3.12-alpine
 ../../pyproject.toml /opt/aframe/pyproject.toml
 
 %post
-apk update
-apk add build-essential --no-cache
-
 cd /opt/aframe/projects/export
 # Set venv dir outside of project for 
 # when binding the repo into the container
diff --git a/projects/infer/apptainer.def b/projects/infer/apptainer.def
index a7a4c1eb5..28d56376b 100644
--- a/projects/infer/apptainer.def
+++ b/projects/infer/apptainer.def
@@ -1,5 +1,5 @@
 Bootstrap: docker
-From: ghcr.io/astral-sh/uv:0.11.6-python3.12-alpine
+From: ghcr.io/astral-sh/uv:python3.12-bookworm-slim
 
 %files
 # only copy precisely the files we need to keep things
@@ -12,8 +12,9 @@ From: ghcr.io/astral-sh/uv:0.11.6-python3.12-alpine
 ../../pyproject.toml /opt/aframe/pyproject.toml
 
 %post
-apk update
-apk add build-essential --no-cache
+apt-get update
+apt-get install -y build-essential
+apt-get clean
 
 cd /opt/aframe/projects/infer
 # Set venv dir outside of project for 
diff --git a/projects/plots/apptainer.def b/projects/plots/apptainer.def
index 08002565b..2acef9c62 100644
--- a/projects/plots/apptainer.def
+++ b/projects/plots/apptainer.def
@@ -1,5 +1,5 @@
 Bootstrap: docker
-From: ghcr.io/astral-sh/uv:0.11.6-python3.12-alpine
+From: ghcr.io/astral-sh/uv:python3.12-bookworm-slim
 
 %files
 . /opt/aframe/projects/plots
@@ -11,8 +11,9 @@ From: ghcr.io/astral-sh/uv:0.11.6-python3.12-alpine
 
 %post
 # install git for pip installation
-apk update
-apk add build-essential --no-cache
+apt-get update
+apt-get install -y build-essential
+apt-get clean
 
 cd /opt/aframe/projects/plots
 # Set venv dir outside of project for 
diff --git a/projects/train/apptainer.def b/projects/train/apptainer.def
index 5a6eb4d57..4ecb80640 100644
--- a/projects/train/apptainer.def
+++ b/projects/train/apptainer.def
@@ -1,5 +1,5 @@
 Bootstrap: docker
-From: ghcr.io/astral-sh/uv:0.11.6-python3.12-alpine
+From: ghcr.io/astral-sh/uv:python3.12-bookworm-slim
 
 %files
 # only copy precisely the files we need to keep things
@@ -14,8 +14,9 @@ From: ghcr.io/astral-sh/uv:0.11.6-python3.12-alpine
 ../../libs/architectures /opt/aframe/libs/architectures
 
 %post
-apk update
-apk add build-essential --no-cache
+apt-get update
+apt-get install -y build-essential
+apt-get clean
 
 cd /opt/aframe/projects/train
 # Set venv dir outside of project for 

From 172d3369df41eb31f918a419719bd3404b0e3de5 Mon Sep 17 00:00:00 2001
From: William Benoit <benoi090@umn.edu>
Date: Sun, 12 Apr 2026 16:49:16 -0500
Subject: [PATCH 20/27] Install git

---
 projects/export/apptainer.def | 4 ++++
 projects/infer/apptainer.def  | 2 +-
 projects/plots/apptainer.def  | 2 +-
 projects/train/apptainer.def  | 3 ++-
 4 files changed, 8 insertions(+), 3 deletions(-)

diff --git a/projects/export/apptainer.def b/projects/export/apptainer.def
index 8e16eea93..0c5a2cb83 100644
--- a/projects/export/apptainer.def
+++ b/projects/export/apptainer.def
@@ -8,6 +8,10 @@ From: ghcr.io/astral-sh/uv:python3.12-bookworm-slim
 ../../pyproject.toml /opt/aframe/pyproject.toml
 
 %post
+apt-get update
+apt-get install -y build-essential git
+apt-get clean
+
 cd /opt/aframe/projects/export
 # Set venv dir outside of project for 
 # when binding the repo into the container
diff --git a/projects/infer/apptainer.def b/projects/infer/apptainer.def
index 28d56376b..e69d8b76e 100644
--- a/projects/infer/apptainer.def
+++ b/projects/infer/apptainer.def
@@ -13,7 +13,7 @@ From: ghcr.io/astral-sh/uv:python3.12-bookworm-slim
 
 %post
 apt-get update
-apt-get install -y build-essential
+apt-get install -y build-essential git
 apt-get clean
 
 cd /opt/aframe/projects/infer
diff --git a/projects/plots/apptainer.def b/projects/plots/apptainer.def
index 2acef9c62..f38c39238 100644
--- a/projects/plots/apptainer.def
+++ b/projects/plots/apptainer.def
@@ -12,7 +12,7 @@ From: ghcr.io/astral-sh/uv:python3.12-bookworm-slim
 %post
 # install git for pip installation
 apt-get update
-apt-get install -y build-essential
+apt-get install -y build-essential git
 apt-get clean
 
 cd /opt/aframe/projects/plots
diff --git a/projects/train/apptainer.def b/projects/train/apptainer.def
index 4ecb80640..4ed46faa9 100644
--- a/projects/train/apptainer.def
+++ b/projects/train/apptainer.def
@@ -15,7 +15,8 @@ From: ghcr.io/astral-sh/uv:python3.12-bookworm-slim
 
 %post
 apt-get update
-apt-get install -y build-essential
+# TODO: remove git once things are stable
+apt-get install -y build-essential git
 apt-get clean
 
 cd /opt/aframe/projects/train

From 5a2a6603325510f5f070ee4935c1cbbd83b5b6bd Mon Sep 17 00:00:00 2001
From: William Benoit <benoi090@umn.edu>
Date: Sun, 12 Apr 2026 18:52:22 -0500
Subject: [PATCH 21/27] Use github repo for amplfi

---
 projects/online/pyproject.toml |  2 +-
 projects/online/uv.lock        | 64 ++++++----------------------------
 2 files changed, 11 insertions(+), 55 deletions(-)

diff --git a/projects/online/pyproject.toml b/projects/online/pyproject.toml
index f16027762..5b141c745 100644
--- a/projects/online/pyproject.toml
+++ b/projects/online/pyproject.toml
@@ -54,7 +54,7 @@ ledger = { path = "../../libs/ledger", editable = true }
 p_astro = { path = "../../libs/p_astro", editable = true }
 architectures = { path = "../../libs/architectures", editable = true }
 # TODO: point at released version once available
-amplfi = { path = "../../../amplfi", editable = true }
+amplfi = { git = "https://github.com/wbenoit26/amplfi", branch = "dev" }
 
 [build-system]
 requires = ["hatchling"]
diff --git a/projects/online/uv.lock b/projects/online/uv.lock
index e47d31155..fcd0d93f0 100644
--- a/projects/online/uv.lock
+++ b/projects/online/uv.lock
@@ -149,7 +149,8 @@ wheels = [
 
 [[package]]
 name = "amplfi"
-source = { editable = "../../../amplfi" }
+version = "0.0.1"
+source = { git = "https://github.com/wbenoit26/amplfi?branch=dev#d07d0dab88646558ea8aa02245a1d022f9ab0624" }
 dependencies = [
     { name = "bilby" },
     { name = "gwpy" },
@@ -172,51 +173,6 @@ dependencies = [
     { name = "zuko" },
 ]
 
-[package.metadata]
-requires-dist = [
-    { name = "bilby", specifier = ">=2.2.3,<3" },
-    { name = "gwpy", specifier = ">=3.0.12" },
-    { name = "h5py", specifier = ">=3.10.0,<4" },
-    { name = "healpy", specifier = ">=1.16.6,<2" },
-    { name = "jsonargparse", extras = ["signatures"], specifier = ">=4.27.1,<5" },
-    { name = "lightning", specifier = ">=2.5.0" },
-    { name = "lightray", specifier = ">=0.2.4" },
-    { name = "ligo-skymap", specifier = ">=2.2.2" },
-    { name = "ml4gw", specifier = ">=0.7.13" },
-    { name = "numpy", specifier = ">=2" },
-    { name = "omegaconf", specifier = ">=2.3.0,<3" },
-    { name = "pandas", extras = ["hdf5"], specifier = ">=2.3.1" },
-    { name = "pytorch-tcn" },
-    { name = "ray", extras = ["default", "tune"], specifier = ">=2.38.0,<3" },
-    { name = "s3fs", specifier = ">=2024.12.0,<2025" },
-    { name = "torch", specifier = ">=2.5.0" },
-    { name = "urllib3", specifier = ">=2" },
-    { name = "wandb", specifier = ">=0.18.5,<0.19" },
-    { name = "zuko", specifier = ">=1.4.0" },
-]
-
-[package.metadata.requires-dev]
-data = [
-    { name = "law", specifier = ">=0.1.19" },
-    { name = "luigi", specifier = ">=3.5.1,<4" },
-    { name = "mldatafind", specifier = ">=0.1.8" },
-]
-dev = [
-    { name = "conda-lock", specifier = ">=4" },
-    { name = "jupyter", specifier = ">=1.0.0,<2" },
-    { name = "pre-commit", specifier = ">=3.7.0,<4" },
-    { name = "pytest", specifier = ">=8.0.2,<9" },
-    { name = "ruff", specifier = ">=0.9.6" },
-]
-docs = [
-    { name = "linkify-it-py", specifier = ">=2.0.3" },
-    { name = "myst-parser", specifier = ">=2.0.0" },
-    { name = "sphinx", specifier = ">=8.0" },
-    { name = "sphinx-autodoc-typehints", specifier = ">=2.0.0" },
-    { name = "sphinx-design" },
-    { name = "sphinx-rtd-theme", specifier = ">=2.0.0" },
-]
-
 [[package]]
 name = "annotated-types"
 version = "0.7.0"
@@ -3043,7 +2999,7 @@ name = "nvidia-cudnn-cu12"
 version = "9.5.1.17"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-cublas-cu12", marker = "(platform_machine != 'x86_64' and sys_platform == 'darwin') or (sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32')" },
+    { name = "nvidia-cublas-cu12", marker = "sys_platform == 'linux'" },
 ]
 wheels = [
     { url = "https://files.pythonhosted.org/packages/2a/78/4535c9c7f859a64781e43c969a3a7e84c54634e319a996d43ef32ce46f83/nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl", hash = "sha256:30ac3869f6db17d170e0e556dd6cc5eee02647abc31ca856634d5a40f82c15b2", size = 570988386, upload-time = "2024-10-25T19:54:26.39Z" },
@@ -3054,7 +3010,7 @@ name = "nvidia-cufft-cu12"
 version = "11.3.0.4"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-nvjitlink-cu12", marker = "(platform_machine != 'x86_64' and sys_platform == 'darwin') or (sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32')" },
+    { name = "nvidia-nvjitlink-cu12", marker = "sys_platform == 'linux'" },
 ]
 wheels = [
     { url = "https://files.pythonhosted.org/packages/8f/16/73727675941ab8e6ffd86ca3a4b7b47065edcca7a997920b831f8147c99d/nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ccba62eb9cef5559abd5e0d54ceed2d9934030f51163df018532142a8ec533e5", size = 200221632, upload-time = "2024-11-20T17:41:32.357Z" },
@@ -3083,9 +3039,9 @@ name = "nvidia-cusolver-cu12"
 version = "11.7.1.2"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-cublas-cu12", marker = "(platform_machine != 'x86_64' and sys_platform == 'darwin') or (sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32')" },
-    { name = "nvidia-cusparse-cu12", marker = "(platform_machine != 'x86_64' and sys_platform == 'darwin') or (sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32')" },
-    { name = "nvidia-nvjitlink-cu12", marker = "(platform_machine != 'x86_64' and sys_platform == 'darwin') or (sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32')" },
+    { name = "nvidia-cublas-cu12", marker = "sys_platform == 'linux'" },
+    { name = "nvidia-cusparse-cu12", marker = "sys_platform == 'linux'" },
+    { name = "nvidia-nvjitlink-cu12", marker = "sys_platform == 'linux'" },
 ]
 wheels = [
     { url = "https://files.pythonhosted.org/packages/f0/6e/c2cf12c9ff8b872e92b4a5740701e51ff17689c4d726fca91875b07f655d/nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e9e49843a7707e42022babb9bcfa33c29857a93b88020c4e4434656a655b698c", size = 158229790, upload-time = "2024-11-20T17:43:43.211Z" },
@@ -3097,7 +3053,7 @@ name = "nvidia-cusparse-cu12"
 version = "12.5.4.2"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-nvjitlink-cu12", marker = "(platform_machine != 'x86_64' and sys_platform == 'darwin') or (sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32')" },
+    { name = "nvidia-nvjitlink-cu12", marker = "sys_platform == 'linux'" },
 ]
 wheels = [
     { url = "https://files.pythonhosted.org/packages/06/1e/b8b7c2f4099a37b96af5c9bb158632ea9e5d9d27d7391d7eb8fc45236674/nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:7556d9eca156e18184b94947ade0fba5bb47d69cec46bf8660fd2c71a4b48b73", size = 216561367, upload-time = "2024-11-20T17:44:54.824Z" },
@@ -3184,7 +3140,7 @@ dev = [
 
 [package.metadata]
 requires-dist = [
-    { name = "amplfi", editable = "../../../amplfi" },
+    { name = "amplfi", git = "https://github.com/wbenoit26/amplfi?branch=dev" },
     { name = "architectures", editable = "../../libs/architectures" },
     { name = "arrakis", specifier = ">=0.2.0,<0.3" },
     { name = "ciecplib" },
@@ -4942,7 +4898,7 @@ name = "triton"
 version = "3.3.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "setuptools", marker = "(platform_machine != 'x86_64' and sys_platform == 'darwin') or (sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32')" },
+    { name = "setuptools", marker = "sys_platform == 'linux'" },
 ]
 wheels = [
     { url = "https://files.pythonhosted.org/packages/21/2f/3e56ea7b58f80ff68899b1dbe810ff257c9d177d288c6b0f55bf2fe4eb50/triton-3.3.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b31e3aa26f8cb3cc5bf4e187bf737cbacf17311e1112b781d4a059353dfd731b", size = 155689937, upload-time = "2025-05-29T23:39:44.182Z" },

From 8095759fc3b3075b387f88a6e70e7d79bc70331d Mon Sep 17 00:00:00 2001
From: William Benoit <benoi090@umn.edu>
Date: Sun, 12 Apr 2026 19:17:42 -0500
Subject: [PATCH 22/27] Consolidated apptainer definition files

---
 .github/project-filters.yaml                  |  1 +
 .github/workflows/project-build-test.yaml     |  4 +
 .gitignore                                    |  1 +
 .../micromamba.def                            | 23 ++---
 .../uv.def                                    | 16 ++--
 projects/infer/apptainer.def                  | 29 ------
 projects/online/apptainer.def                 | 56 ------------
 projects/plots/apptainer.def                  | 28 ------
 projects/train/apptainer.def                  | 34 -------
 scripts/build_containers.py                   | 89 ++++++++++++++++---
 10 files changed, 98 insertions(+), 183 deletions(-)
 rename projects/data/apptainer.def => container_templates/micromamba.def (62%)
 rename projects/export/apptainer.def => container_templates/uv.def (53%)
 delete mode 100644 projects/infer/apptainer.def
 delete mode 100644 projects/online/apptainer.def
 delete mode 100644 projects/plots/apptainer.def
 delete mode 100644 projects/train/apptainer.def

diff --git a/.github/project-filters.yaml b/.github/project-filters.yaml
index bc0cef9f1..3f71f9350 100644
--- a/.github/project-filters.yaml
+++ b/.github/project-filters.yaml
@@ -1,6 +1,7 @@
 workflow: &workflow
   - '.github/lib-filters.yaml'
   - '.github/workflows/lib-tests.yaml'
+  - 'container_templates/**'
 
 data:
   - *workflow
diff --git a/.github/workflows/project-build-test.yaml b/.github/workflows/project-build-test.yaml
index 55116aa45..13c5a4cff 100644
--- a/.github/workflows/project-build-test.yaml
+++ b/.github/workflows/project-build-test.yaml
@@ -77,6 +77,10 @@ jobs:
         username: ${{ github.actor }}
         password: ${{ secrets.GITHUB_TOKEN }}
 
+    -
+      name: Write apptainer definition
+      run: python scripts/build_containers.py --definition-only ${{ matrix.project }}
+
     # build the singularity image as a sandbox directory
     # inside a docker container that has singularity
     # installed (take a big breath). Then tar that directory
diff --git a/.gitignore b/.gitignore
index 82ce2c187..fcd315846 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,3 +1,4 @@
+projects/*/apptainer.def
 **/__pycache__
 **/.ipynb_checkpoints
 **/*.log
diff --git a/projects/data/apptainer.def b/container_templates/micromamba.def
similarity index 62%
rename from projects/data/apptainer.def
rename to container_templates/micromamba.def
index 559598a26..faee2136b 100644
--- a/projects/data/apptainer.def
+++ b/container_templates/micromamba.def
@@ -3,12 +3,7 @@ From: mambaorg/micromamba:1.5
 Stage: build
 
 %files
-. /opt/aframe/projects/data/
-../../libs/utils /opt/aframe/libs/utils
-../../libs/ledger /opt/aframe/libs/ledger
-../../libs/priors /opt/aframe/libs/priors
-../../aframe /opt/aframe/aframe
-../../pyproject.toml /opt/aframe/pyproject.toml
+@@FILES_BLOCK@@
 
 %post
 mkdir -p /cvmfs /hdfs /gpfs /ceph /hadoop
@@ -16,31 +11,25 @@ mkdir -p /cvmfs /hdfs /gpfs /ceph /hadoop
 # install git for pip installation
 apt-get update
 apt-get install -y --no-install-recommends git
-apt-get install -y build-essential
-apt-get clean
+apt-get install -y --no-install-recommends build-essential openssh-client
+rm -rf /var/lib/apt/lists/*
 
 # activate micromamba and create environment from lockfile
-/bin/bash /root/.bashrc
-micromamba create -p /opt/env -f /opt/aframe/projects/data/conda-lock.yml
+micromamba create -p /opt/env -f /opt/aframe/projects/@@PROJECT@@/conda-lock.yml
 
 # install uv so we can install local deps of deps editably
 micromamba run -p /opt/env python -m \
     pip install --no-build-isolation uv
 
-export CONDA_PREFIX=/root/micromamba
-cd /opt/aframe/projects/data/
+cd /opt/aframe/projects/@@PROJECT@@/
 micromamba run -p /opt/env \
     uv export --frozen --all-extras -o requirements.txt
-    
-# Needs to be pip sync to discover conda env
+
 micromamba run -p /opt/env \
     uv pip install -r requirements.txt
 
 # initialize our shell so that we can execute
 # commands in our environment at run time
-micromamba shell init --shell=bash --root-prefix=~/micromamba
-
-
 # set path, and add it to /etc/profile
 # so that it will be set if login shell
 # is invoked
diff --git a/projects/export/apptainer.def b/container_templates/uv.def
similarity index 53%
rename from projects/export/apptainer.def
rename to container_templates/uv.def
index 0c5a2cb83..db0e9efc6 100644
--- a/projects/export/apptainer.def
+++ b/container_templates/uv.def
@@ -2,24 +2,22 @@ Bootstrap: docker
 From: ghcr.io/astral-sh/uv:python3.12-bookworm-slim
 
 %files
-. /opt/aframe/projects/export/
-../../libs/utils /opt/aframe/libs/utils
-../../aframe /opt/aframe/aframe
-../../pyproject.toml /opt/aframe/pyproject.toml
+@@FILES_BLOCK@@
 
 %post
 apt-get update
-apt-get install -y build-essential git
-apt-get clean
+apt-get install -y --no-install-recommends build-essential git
+rm -rf /var/lib/apt/lists/*
 
-cd /opt/aframe/projects/export
-# Set venv dir outside of project for 
+cd /opt/aframe/projects/@@PROJECT@@
+# Set venv dir outside of project for
 # when binding the repo into the container
 export UV_PROJECT_ENVIRONMENT=/opt/env
+
 uv export --frozen --all-extras -o requirements.txt
 uv pip sync requirements.txt --system
 
 %environment
-# Append venv dir to PATH so the 
+# Append venv dir to PATH so the
 # environment is active by default
 export PATH="/opt/env/bin:$PATH"
diff --git a/projects/infer/apptainer.def b/projects/infer/apptainer.def
deleted file mode 100644
index e69d8b76e..000000000
--- a/projects/infer/apptainer.def
+++ /dev/null
@@ -1,29 +0,0 @@
-Bootstrap: docker
-From: ghcr.io/astral-sh/uv:python3.12-bookworm-slim
-
-%files
-# only copy precisely the files we need to keep things
-# light and protect against any large files that might
-# accidentally get created in this repo
-. /opt/aframe/projects/infer
-../../libs/utils /opt/aframe/libs/utils
-../../libs/ledger /opt/aframe/libs/ledger
-../../aframe /opt/aframe/aframe
-../../pyproject.toml /opt/aframe/pyproject.toml
-
-%post
-apt-get update
-apt-get install -y build-essential git
-apt-get clean
-
-cd /opt/aframe/projects/infer
-# Set venv dir outside of project for 
-# when binding the repo into the container
-export UV_PROJECT_ENVIRONMENT=/opt/env
-uv export --frozen --all-extras -o requirements.txt
-uv pip sync requirements.txt --system
-
-%environment
-# Append venv dir to PATH so the 
-# environment is active by default
-export PATH="/opt/env/bin:$PATH"
diff --git a/projects/online/apptainer.def b/projects/online/apptainer.def
deleted file mode 100644
index 953d82082..000000000
--- a/projects/online/apptainer.def
+++ /dev/null
@@ -1,56 +0,0 @@
-Bootstrap: docker
-From: mambaorg/micromamba:1.5
-Stage: build
-
-%files
-. /opt/aframe/projects/online/
-../../libs/utils /opt/aframe/libs/utils
-../../libs/architectures /opt/aframe/libs/architectures
-../../libs/ledger /opt/aframe/libs/ledger
-../../libs/p_astro /opt/aframe/libs/p_astro
-../../pyproject.toml /opt/aframe/pyproject.toml
-../../../amplfi /opt/amplfi
-
-%post
-mkdir -p /cvmfs /hdfs /gpfs /ceph /hadoop
-
-# install git for pip installation
-apt-get update
-apt-get install -y --no-install-recommends git
-apt-get install -y build-essential
-apt-get install -y openssh-client
-apt-get clean
-
-# activate micromamba and create environment from lockfile
-/bin/bash /root/.bashrc
-micromamba create -p /opt/env -f /opt/aframe/projects/online/conda-lock.yml
-
-# install uv so we can install local deps of deps editably
-micromamba run -p /opt/env python -m \
-    pip install --no-build-isolation uv
-
-cd /opt/aframe/projects/online/
-micromamba run -p /opt/env \
-    uv export --frozen --all-extras -o requirements.txt
-
-# Needs to be pip sync to discover conda env
-micromamba run -p /opt/env \
-    uv pip install -r requirements.txt
-
-# initialize our shell so that we can execute
-# commands in our environment at run time
-micromamba shell init --shell=bash --root-prefix=~/micromamba
-
-
-# set path, and add it to /etc/profile
-# so that it will be set if login shell
-# is invoked
-export PATH=/opt/env/bin:$PATH
-echo export PATH=$PATH >> /etc/profile
-
-
-%runscript
-#!/bin/bash
-eval "$(micromamba shell hook --shell bash)"
-micromamba activate /opt/env
-exec "$@"
diff --git a/projects/plots/apptainer.def b/projects/plots/apptainer.def
deleted file mode 100644
index f38c39238..000000000
--- a/projects/plots/apptainer.def
+++ /dev/null
@@ -1,28 +0,0 @@
-Bootstrap: docker
-From: ghcr.io/astral-sh/uv:python3.12-bookworm-slim
-
-%files
-. /opt/aframe/projects/plots
-../../libs/utils /opt/aframe/libs/utils
-../../libs/ledger /opt/aframe/libs/ledger
-../../libs/priors /opt/aframe/libs/priors
-../../aframe /opt/aframe/aframe
-../../pyproject.toml /opt/aframe/pyproject.toml
-
-%post
-# install git for pip installation
-apt-get update
-apt-get install -y build-essential git
-apt-get clean
-
-cd /opt/aframe/projects/plots
-# Set venv dir outside of project for 
-# when binding the repo into the container
-export UV_PROJECT_ENVIRONMENT=/opt/env
-uv export --frozen --all-extras -o requirements.txt
-uv pip sync requirements.txt --system
-
-%environment
-# Append venv dir to PATH so the 
-# environment is active by default
-export PATH="/opt/env/bin:$PATH"
diff --git a/projects/train/apptainer.def b/projects/train/apptainer.def
deleted file mode 100644
index 4ed46faa9..000000000
--- a/projects/train/apptainer.def
+++ /dev/null
@@ -1,34 +0,0 @@
-Bootstrap: docker
-From: ghcr.io/astral-sh/uv:python3.12-bookworm-slim
-
-%files
-# only copy precisely the files we need to keep things
-# light and protect against any large files that might
-# accidentally get created in this repo
-. /opt/aframe/projects/train
-../../libs/utils /opt/aframe/libs/utils
-../../aframe /opt/aframe/aframe
-../../pyproject.toml /opt/aframe/pyproject.toml
-../../libs/ledger /opt/aframe/libs/ledger
-../../libs/priors /opt/aframe/libs/priors
-../../libs/architectures /opt/aframe/libs/architectures
-
-%post
-apt-get update
-# TODO: remove git once things are stable
-apt-get install -y build-essential git
-apt-get clean
-
-cd /opt/aframe/projects/train
-# Set venv dir outside of project for 
-# when binding the repo into the container
-export UV_PROJECT_ENVIRONMENT=/opt/env
-
-# I think there might be a better way to do this
-uv export --frozen --all-extras -o requirements.txt
-uv pip sync requirements.txt --system
-
-%environment
-# Append venv dir to PATH so the 
-# environment is active by default
-export PATH="/opt/env/bin:$PATH"
diff --git a/scripts/build_containers.py b/scripts/build_containers.py
index 8f5ea85da..a4e801a78 100644
--- a/scripts/build_containers.py
+++ b/scripts/build_containers.py
@@ -1,5 +1,6 @@
 import logging
 import os
+import tomllib
 from concurrent.futures import ProcessPoolExecutor, as_completed
 from pathlib import Path
 
@@ -8,30 +9,84 @@
 
 # Define the directory where the projects are located
 BASE_DIR: Path = Path(__file__).resolve().parent.parent / "projects"
+TEMPLATES_DIR: Path = (
+    Path(__file__).resolve().parent.parent / "container_templates"
+)
 
 # List of all available project names
 PROJECTS: list[str] = [x.name for x in BASE_DIR.iterdir() if x.is_dir()]
 
 
+def _get_files_block(project_name: str) -> str:
+    """
+    Build the %files block for an apptainer definition by reading the
+    project's [tool.uv.sources] and resolving which local paths to copy.
+    """
+    pyproject_path = BASE_DIR / project_name / "pyproject.toml"
+    with open(pyproject_path, "rb") as f:
+        data = tomllib.load(f)
+
+    sources = data["tool"]["uv"]["sources"]
+
+    lines = [f". /opt/aframe/projects/{project_name}/"]
+    seen: set[str] = set()
+
+    for source in sources.values():
+        path = source.get("path", "")
+        if not path:
+            # git source
+            continue
+
+        normalized = path.rstrip("/")
+
+        lib_name = normalized.removeprefix("../../libs/")
+        entry = f"../../libs/{lib_name} /opt/aframe/libs/{lib_name}"
+
+        if entry not in seen:
+            seen.add(entry)
+            lines.append(entry)
+
+    lines.append("../../pyproject.toml /opt/aframe/pyproject.toml")
+    return "\n".join(lines)
+
+
+def create_definition_file(project_name: str) -> Path:
+    """
+    Create the apptainer definition file for a project from the appropriate
+    template and write it to projects/<project>/apptainer.def.
+
+    Projects with a conda-lock.yml use the micromamba template; all others
+    use the uv template.
+    """
+    project_dir = BASE_DIR / project_name
+    is_micromamba = (project_dir / "conda-lock.yml").exists()
+    template_name = "micromamba.def" if is_micromamba else "uv.def"
+    template_text = (TEMPLATES_DIR / template_name).read_text()
+
+    files_block = _get_files_block(project_name)
+    definition_text = template_text.replace(
+        "@@PROJECT@@", project_name
+    ).replace("@@FILES_BLOCK@@", files_block)
+
+    output_path = project_dir / "apptainer.def"
+    output_path.write_text(definition_text)
+    logging.info(f"Wrote template {template_name} to {output_path}")
+    return output_path
+
+
 def build_container(project_name: str, container_root: Path) -> str:
     project_path = BASE_DIR / project_name
     container_path = container_root / f"{project_name}.sif"
+
+    create_definition_file(project_name)
     definition_path = project_path / "apptainer.def"
+
     # change directory to project path since
     # that's the root from where
     # the apptainer def files are defined
     cwd = os.getcwd()
     os.chdir(project_path)
 
-    # skip this project if there
-    # is no associated apptainer definition file
-    if not definition_path.exists():
-        out = (
-            f"Apptainer definition file for {project_name} "
-            "does not exist. Skipping build."
-        )
-        return out
-
     # build the container
     image, cmd = Client.build(
         image=str(container_path),
@@ -114,16 +169,30 @@ def main():
     parser.add_argument(
         "--max-workers",
         type=int,
-        default=None,  # Set a default number of workers
+        default=None,
         help="Maximum number of concurrent builds. Can be useful to set if "
         "your local TMPDIR is being overfilled when building containers. "
         "Default is `None`.",
     )
 
+    parser.add_argument(
+        "--definition-only",
+        action="store_true",
+        default=False,
+        help="Write the definition files(s) for the specified project, and "
+        "do not build the container images.",
+    )
+
     args = parser.parse_args()
     logging.basicConfig(level=logging.INFO)
 
     validate_projects(args.projects)
+
+    if args.definition_only:
+        for project in args.projects:
+            create_definition_file(project)
+        return
+
     build(args.projects, args.container_root, args.max_workers)
 
 

From 3c89c8e4614e6d83eeaf043be77a02624f0f67ae Mon Sep 17 00:00:00 2001
From: William Benoit <benoi090@umn.edu>
Date: Sun, 12 Apr 2026 19:22:18 -0500
Subject: [PATCH 23/27] Include aframe copying

---
 scripts/build_containers.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/scripts/build_containers.py b/scripts/build_containers.py
index a4e801a78..3cd33d03c 100644
--- a/scripts/build_containers.py
+++ b/scripts/build_containers.py
@@ -46,6 +46,7 @@ def _get_files_block(project_name: str) -> str:
             seen.add(entry)
             lines.append(entry)
 
+    lines.append("../../aframe /opt/aframe/aframe")
     lines.append("../../pyproject.toml /opt/aframe/pyproject.toml")
     return "\n".join(lines)
 

From df10594c1b6557ae35002f57edd8e938a54e4ee7 Mon Sep 17 00:00:00 2001
From: William Benoit <benoi090@umn.edu>
Date: Sun, 12 Apr 2026 19:38:55 -0500
Subject: [PATCH 24/27] Fix source parsing bug

---
 scripts/build_containers.py | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/scripts/build_containers.py b/scripts/build_containers.py
index 3cd33d03c..ef0b4a302 100644
--- a/scripts/build_containers.py
+++ b/scripts/build_containers.py
@@ -39,8 +39,11 @@ def _get_files_block(project_name: str) -> str:
 
         normalized = path.rstrip("/")
 
-        lib_name = normalized.removeprefix("../../libs/")
-        entry = f"../../libs/{lib_name} /opt/aframe/libs/{lib_name}"
+        if normalized == "../..":
+            entry = "../../aframe /opt/aframe/aframe"
+        else:
+            lib_name = normalized.removeprefix("../../libs/")
+            entry = f"../../libs/{lib_name} /opt/aframe/libs/{lib_name}"
 
         if entry not in seen:
             seen.add(entry)

From 45547891ca1982bcc4b745ced7bd1146f321b0d6 Mon Sep 17 00:00:00 2001
From: William Benoit <benoi090@umn.edu>
Date: Sun, 12 Apr 2026 19:47:40 -0500
Subject: [PATCH 25/27] Install missing deps in workflow

---
 .github/workflows/project-build-test.yaml | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/.github/workflows/project-build-test.yaml b/.github/workflows/project-build-test.yaml
index 13c5a4cff..12ef2816f 100644
--- a/.github/workflows/project-build-test.yaml
+++ b/.github/workflows/project-build-test.yaml
@@ -77,6 +77,10 @@ jobs:
         username: ${{ github.actor }}
         password: ${{ secrets.GITHUB_TOKEN }}
 
+    -
+      name: Install definition generation dependencies
+      run: python -m pip install jsonargparse spython
+
     -
       name: Write apptainer definition
       run: python scripts/build_containers.py --definition-only ${{ matrix.project }}

From f6b7655588a5318b7053d6f40df3927c81a80530 Mon Sep 17 00:00:00 2001
From: William Benoit <benoi090@umn.edu>
Date: Mon, 13 Apr 2026 18:41:28 -0500
Subject: [PATCH 26/27] Duplicate triton server context in infer project

---
 projects/infer/infer/server.py | 125 +++++++++++++++++++++++++++++++++
 projects/infer/pyproject.toml  |   2 +
 projects/infer/uv.lock         |   2 +
 3 files changed, 129 insertions(+)
 create mode 100644 projects/infer/infer/server.py

diff --git a/projects/infer/infer/server.py b/projects/infer/infer/server.py
new file mode 100644
index 000000000..392fdfd52
--- /dev/null
+++ b/projects/infer/infer/server.py
@@ -0,0 +1,125 @@
+import logging
+import os
+import socket
+import time
+from contextlib import ExitStack, contextmanager
+from pathlib import Path
+
+import jsonargparse
+import psutil
+from hermes.aeriel.monitor import ServerMonitor
+from hermes.aeriel.serve import serve
+from utils.logging import configure_logging
+
+
+def get_ip_address() -> str:
+    """
+    Get the local node's cluster-internal IP address
+    """
+    for _, addrs in psutil.net_if_addrs().items():
+        for addr in addrs:
+            if addr.family == socket.AF_INET and not addr.address.startswith(
+                "127."
+            ):
+                return addr.address
+    raise ValueError("No valid IP address found")
+
+
+@contextmanager
+def triton_server(
+    model_repo_dir: Path,
+    triton_image: str,
+    gpus: str,
+    output_dir: Path,
+    model_name: str,
+    model_version: int,
+    batch_size: int,
+):
+    """
+    Context manager that starts a Triton server and a ServerMonitor.
+    Yields the node's cluster-internal IP address.
+    """
+    server_log = output_dir / "server.log"
+    serve_context = serve(
+        str(model_repo_dir),
+        triton_image,
+        log_file=server_log,
+        wait=True,
+    )
+
+    current_gpus = os.getenv("CUDA_VISIBLE_DEVICES", "")
+    os.environ["CUDA_VISIBLE_DEVICES"] = gpus
+    try:
+        with ExitStack() as stack:
+            stack.enter_context(serve_context)
+            monitor = ServerMonitor(
+                model_name=model_name,
+                ips="localhost",
+                filename=output_dir / f"server-stats-{batch_size}.csv",
+                model_version=model_version,
+                name="monitor",
+                rate=10,
+            )
+            time.sleep(1)
+            stack.enter_context(monitor)
+            yield get_ip_address()
+    finally:
+        os.environ["CUDA_VISIBLE_DEVICES"] = current_gpus
+
+
+def build_parser():
+    parser = jsonargparse.ArgumentParser(
+        description="Start a Triton inference server and block until done"
+    )
+    parser.add_argument("--config", action=jsonargparse.ActionConfigFile)
+    parser.add_argument("--logfile", type=str, default=None)
+    parser.add_argument("--verbose", type=bool, default=False)
+    parser.add_function_arguments(triton_server)
+    parser.add_argument(
+        "--ip_file",
+        type=Path,
+        required=True,
+        help="Path where the server IP address will be written.",
+    )
+    parser.add_argument(
+        "--stop_sentinel",
+        type=Path,
+        required=True,
+        help="Path whose existence signals the server to shut down.",
+    )
+    return parser
+
+
+def main(args=None):
+    """
+    Entry point for the start-server CLI.
+
+    Starts a Triton server, writes the node IP to ip_file, then blocks
+    until stop_sentinel appears on disk.
+    """
+    parser = build_parser()
+    cfg = parser.parse_args(args)
+
+    cfg.output_dir.mkdir(parents=True, exist_ok=True)
+    if cfg.logfile is not None:
+        os.makedirs(os.path.dirname(cfg.logfile), exist_ok=True)
+    configure_logging(cfg.logfile, cfg.verbose)
+
+    logging.info(f"Starting Triton server for model '{cfg.model_name}'")
+
+    server_kwargs = cfg.as_dict()
+    for key in ("config", "logfile", "verbose", "ip_file", "stop_sentinel"):
+        server_kwargs.pop(key, None)
+
+    with triton_server(**server_kwargs) as ip:
+        cfg.ip_file.write_text(ip)
+        logging.info(f"Server ready at {ip}; wrote IP to {cfg.ip_file}")
+        while not cfg.stop_sentinel.exists():
+            time.sleep(5)
+        logging.info(
+            f"Stop sentinel {cfg.stop_sentinel} detected, shutting down."
+        )
+
+
+if __name__ == "__main__":
+    main()
diff --git a/projects/infer/pyproject.toml b/projects/infer/pyproject.toml
index 293203420..7977f75a6 100644
--- a/projects/infer/pyproject.toml
+++ b/projects/infer/pyproject.toml
@@ -12,6 +12,7 @@ dependencies = [
     "ratelimiter~=1.2",
     "jsonargparse~=4.24",
     "tqdm~=4.66",
+    "psutil>=5.9",
     "ml4gw-hermes[torch]",
     "aframe",
     "utils",
@@ -21,6 +22,7 @@ dependencies = [
 
 [project.scripts]
 infer = "infer.cli:main"
+start-server = "infer.server:main"
 
 [dependency-groups]
 dev = [
diff --git a/projects/infer/uv.lock b/projects/infer/uv.lock
index 9ad491dae..85fdb6503 100644
--- a/projects/infer/uv.lock
+++ b/projects/infer/uv.lock
@@ -933,6 +933,7 @@ dependencies = [
     { name = "jsonargparse" },
     { name = "ledger" },
     { name = "ml4gw-hermes", extra = ["torch"] },
+    { name = "psutil" },
     { name = "ratelimiter" },
     { name = "tqdm" },
     { name = "urllib3" },
@@ -951,6 +952,7 @@ requires-dist = [
     { name = "jsonargparse", specifier = "~=4.24" },
     { name = "ledger", editable = "../../libs/ledger" },
     { name = "ml4gw-hermes", extras = ["torch"], git = "https://github.com/ML4GW/hermes?branch=dev" },
+    { name = "psutil", specifier = ">=5.9" },
     { name = "ratelimiter", specifier = "~=1.2" },
     { name = "tqdm", specifier = "~=4.66" },
     { name = "urllib3", specifier = ">=2" },

From d34c66dc97e0c45e935295c266ddec254b522de9 Mon Sep 17 00:00:00 2001
From: William Benoit <benoi090@umn.edu>
Date: Tue, 14 Apr 2026 11:45:07 -0500
Subject: [PATCH 27/27] Duplicate remote training logic in train project

---
 projects/export/pyproject.toml |   4 +-
 projects/export/uv.lock        |  43 +----
 projects/online/pyproject.toml |   2 +-
 projects/train/pyproject.toml  |   4 +-
 projects/train/train/helm.py   | 142 ++++++++++++++++
 projects/train/train/remote.py | 295 +++++++++++++++++++++++++++++++++
 projects/train/uv.lock         |  86 +++++++---
 pyproject.toml                 |   2 +-
 uv.lock                        |  69 +++++++-
 9 files changed, 575 insertions(+), 72 deletions(-)
 create mode 100644 projects/train/train/helm.py
 create mode 100644 projects/train/train/remote.py

diff --git a/projects/export/pyproject.toml b/projects/export/pyproject.toml
index 7b6427fca..48bfe77d9 100644
--- a/projects/export/pyproject.toml
+++ b/projects/export/pyproject.toml
@@ -13,8 +13,8 @@ dependencies = [
     "aframe",
     "utils",
     "jsonargparse>=4.27.1,<5",
-    "nvidia-cudnn-cu11",
-    "tensorrt",
+    "nvidia-cudnn-cu12",
+    "tensorrt>=10.0",
     "urllib3>=2",
 ]
 
diff --git a/projects/export/uv.lock b/projects/export/uv.lock
index 8f122ff62..db182e34f 100644
--- a/projects/export/uv.lock
+++ b/projects/export/uv.lock
@@ -340,7 +340,7 @@ dependencies = [
     { name = "jsonargparse" },
     { name = "ml4gw" },
     { name = "ml4gw-hermes", extra = ["torch"] },
-    { name = "nvidia-cudnn-cu11" },
+    { name = "nvidia-cudnn-cu12" },
     { name = "tensorrt" },
     { name = "urllib3" },
     { name = "utils" },
@@ -359,8 +359,8 @@ requires-dist = [
     { name = "jsonargparse", specifier = ">=4.27.1,<5" },
     { name = "ml4gw", specifier = ">=0.8.0" },
     { name = "ml4gw-hermes", extras = ["torch"], git = "https://github.com/ML4GW/hermes?branch=dev" },
-    { name = "nvidia-cudnn-cu11" },
-    { name = "tensorrt" },
+    { name = "nvidia-cudnn-cu12" },
+    { name = "tensorrt", specifier = ">=10.0" },
     { name = "urllib3", specifier = ">=2" },
     { name = "utils", editable = "../../libs/utils" },
 ]
@@ -887,23 +887,14 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/67/0e/35082d13c09c02c011cf21570543d202ad929d961c02a147493cb0c2bdf5/numpy-2.2.6-cp313-cp313t-win_amd64.whl", hash = "sha256:6031dd6dfecc0cf9f668681a37648373bddd6421fff6c66ec1624eed0180ee06", size = 12771374, upload-time = "2025-05-17T21:43:35.479Z" },
 ]
 
-[[package]]
-name = "nvidia-cublas-cu11"
-version = "11.11.3.6"
-source = { registry = "https://pypi.org/simple" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/46/be/c222e33e60d28ecd496a46fc4d78ccae0ee28e1fd7dc705b6288b4cad27e/nvidia_cublas_cu11-11.11.3.6-py3-none-manylinux1_x86_64.whl", hash = "sha256:39fb40e8f486dd8a2ddb8fdeefe1d5b28f5b99df01c87ab3676f057a74a5a6f3", size = 417870452, upload-time = "2022-10-18T21:17:48.638Z" },
-    { url = "https://files.pythonhosted.org/packages/96/df/c5ac9ac5096355c47c606e613ecc7aa50fbccf5e0145df857d11da6464b1/nvidia_cublas_cu11-11.11.3.6-py3-none-manylinux2014_aarch64.whl", hash = "sha256:5ccae9e069a2c6be9af9cb5a0b0c6928c19c7915e390d15f598a1eead2a01a7a", size = 291428448, upload-time = "2024-08-16T23:59:46.358Z" },
-    { url = "https://files.pythonhosted.org/packages/ea/2e/9d99c60771d275ecf6c914a612e9a577f740a615bc826bec132368e1d3ae/nvidia_cublas_cu11-11.11.3.6-py3-none-manylinux2014_x86_64.whl", hash = "sha256:60252822adea5d0b10cd990a7dc7bedf7435f30ae40083c7a624a85a43225abc", size = 417870460, upload-time = "2024-08-17T00:00:26.889Z" },
-    { url = "https://files.pythonhosted.org/packages/0b/1d/7a78cd36fd5e3da4021b3ac2c2c8b2651dd72345b7c3ecc0d3e051884f50/nvidia_cublas_cu11-11.11.3.6-py3-none-win_amd64.whl", hash = "sha256:6ab12b1302bef8ac1ff4414edd1c059e57f4833abef9151683fb8f4de25900be", size = 427234740, upload-time = "2022-10-18T21:21:50.058Z" },
-]
-
 [[package]]
 name = "nvidia-cublas-cu12"
 version = "12.4.5.8"
 source = { registry = "https://pypi.org/simple" }
 wheels = [
+    { url = "https://files.pythonhosted.org/packages/7f/7f/7fbae15a3982dc9595e49ce0f19332423b260045d0a6afe93cdbe2f1f624/nvidia_cublas_cu12-12.4.5.8-py3-none-manylinux2014_aarch64.whl", hash = "sha256:0f8aa1706812e00b9f19dfe0cdb3999b092ccb8ca168c0db5b8ea712456fd9b3", size = 363333771, upload-time = "2024-06-18T19:28:09.881Z" },
     { url = "https://files.pythonhosted.org/packages/ae/71/1c91302526c45ab494c23f61c7a84aa568b8c1f9d196efa5993957faf906/nvidia_cublas_cu12-12.4.5.8-py3-none-manylinux2014_x86_64.whl", hash = "sha256:2fc8da60df463fdefa81e323eef2e36489e1c94335b5358bcb38360adf75ac9b", size = 363438805, upload-time = "2024-04-03T20:57:06.025Z" },
+    { url = "https://files.pythonhosted.org/packages/e2/2a/4f27ca96232e8b5269074a72e03b4e0d43aa68c9b965058b1684d07c6ff8/nvidia_cublas_cu12-12.4.5.8-py3-none-win_amd64.whl", hash = "sha256:5a796786da89203a0657eda402bcdcec6180254a8ac22d72213abc42069522dc", size = 396895858, upload-time = "2024-04-03T21:03:31.996Z" },
 ]
 
 [[package]]
@@ -914,17 +905,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/67/42/f4f60238e8194a3106d06a058d494b18e006c10bb2b915655bd9f6ea4cb1/nvidia_cuda_cupti_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:9dec60f5ac126f7bb551c055072b69d85392b13311fcc1bcda2202d172df30fb", size = 13813957, upload-time = "2024-04-03T20:55:01.564Z" },
 ]
 
-[[package]]
-name = "nvidia-cuda-nvrtc-cu11"
-version = "11.8.89"
-source = { registry = "https://pypi.org/simple" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/83/08/a9833e4e9f9165bedb7f36033b47aa399b053b9cb2eaf7b84d1e28705cf7/nvidia_cuda_nvrtc_cu11-11.8.89-py3-none-manylinux1_x86_64.whl", hash = "sha256:1f27d67b0f72902e9065ae568b4f6268dfe49ba3ed269c9a3da99bb86d1d2008", size = 23173264, upload-time = "2022-10-03T21:47:00.705Z" },
-    { url = "https://files.pythonhosted.org/packages/1d/ad/58a9f86b0280190582691b1141ac3678c08f698d3d6161eed5cbe4e43b46/nvidia_cuda_nvrtc_cu11-11.8.89-py3-none-manylinux2014_aarch64.whl", hash = "sha256:8ab17ed51e7c4928f7170a0551e3e3b42f89d973bd267ced9688c238b3e10aef", size = 22671777, upload-time = "2024-08-16T23:57:58.688Z" },
-    { url = "https://files.pythonhosted.org/packages/60/44/202e027c224c26e15a53f01c5c7604c7f6b4fd368882d3164ea08fead207/nvidia_cuda_nvrtc_cu11-11.8.89-py3-none-manylinux2014_x86_64.whl", hash = "sha256:a8d02f3cba345be56b1ffc3e74d8f61f02bb758dd31b0f20e12277a5a244f756", size = 23173745, upload-time = "2024-08-16T23:58:16.539Z" },
-    { url = "https://files.pythonhosted.org/packages/c9/19/17745076214b0cc985cfdbabe2b3108f1237704985dab5b748e48432aca1/nvidia_cuda_nvrtc_cu11-11.8.89-py3-none-win_amd64.whl", hash = "sha256:e18a23a8f4064664a6f1c4a64f38c581cbebfb5935280e94a4943ea8ae3791b1", size = 19034935, upload-time = "2022-10-03T23:39:03.211Z" },
-]
-
 [[package]]
 name = "nvidia-cuda-nvrtc-cu12"
 version = "12.4.127"
@@ -941,18 +921,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/ea/27/1795d86fe88ef397885f2e580ac37628ed058a92ed2c39dc8eac3adf0619/nvidia_cuda_runtime_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:64403288fa2136ee8e467cdc9c9427e0434110899d07c779f25b5c068934faa5", size = 883737, upload-time = "2024-04-03T20:54:51.355Z" },
 ]
 
-[[package]]
-name = "nvidia-cudnn-cu11"
-version = "8.9.6.50"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "nvidia-cublas-cu11" },
-    { name = "nvidia-cuda-nvrtc-cu11" },
-]
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/85/2d/3f083fcff1c302119f48e7b30a5f7b23db793f262f900943a9eb456b9e4d/nvidia_cudnn_cu11-8.9.6.50-py3-none-manylinux1_x86_64.whl", hash = "sha256:319a8f7ca3d65139f1b69998595c7076ae0e4271a325e5dfde50a3ca31f55584", size = 699874407, upload-time = "2023-11-01T23:40:02.18Z" },
-]
-
 [[package]]
 name = "nvidia-cudnn-cu12"
 version = "9.1.0.70"
@@ -962,6 +930,7 @@ dependencies = [
 ]
 wheels = [
     { url = "https://files.pythonhosted.org/packages/9f/fd/713452cd72343f682b1c7b9321e23829f00b842ceaedcda96e742ea0b0b3/nvidia_cudnn_cu12-9.1.0.70-py3-none-manylinux2014_x86_64.whl", hash = "sha256:165764f44ef8c61fcdfdfdbe769d687e06374059fbb388b6c89ecb0e28793a6f", size = 664752741, upload-time = "2024-04-22T15:24:15.253Z" },
+    { url = "https://files.pythonhosted.org/packages/3f/d0/f90ee6956a628f9f04bf467932c0a25e5a7e706a684b896593c06c82f460/nvidia_cudnn_cu12-9.1.0.70-py3-none-win_amd64.whl", hash = "sha256:6278562929433d68365a07a4a1546c237ba2849852c0d4b2262a486e805b977a", size = 679925892, upload-time = "2024-04-22T15:24:53.333Z" },
 ]
 
 [[package]]
diff --git a/projects/online/pyproject.toml b/projects/online/pyproject.toml
index 5b141c745..2188dba2e 100644
--- a/projects/online/pyproject.toml
+++ b/projects/online/pyproject.toml
@@ -45,7 +45,7 @@ dev = [
 
 [[tool.uv.index]]
 name = "torch"
-url = "https://download.pytorch.org/whl/cu118"
+url = "https://download.pytorch.org/whl/cu124"
 explicit = true
 
 [tool.uv.sources]
diff --git a/projects/train/pyproject.toml b/projects/train/pyproject.toml
index 6dd50ea0b..a5c05b4e8 100644
--- a/projects/train/pyproject.toml
+++ b/projects/train/pyproject.toml
@@ -31,10 +31,12 @@ dependencies = [
     "filelock>=3.13.1,<4",
     "s3fs>=2024,<2025",
     "lightray>=0.2.3",
+    "kr8s>=0.20.0",
 ]
 
 [project.scripts]
 train = "train.cli:main"
+train-remote = "train.remote:main"
 
 [dependency-groups]
 dev = [
@@ -46,7 +48,7 @@ dev = [
 
 [[tool.uv.index]]
 name = "torch"
-url = "https://download.pytorch.org/whl/cu118"
+url = "https://download.pytorch.org/whl/cu124"
 explicit = true
 
 [tool.uv.sources]
diff --git a/projects/train/train/helm.py b/projects/train/train/helm.py
new file mode 100644
index 000000000..d24866e2b
--- /dev/null
+++ b/projects/train/train/helm.py
@@ -0,0 +1,142 @@
+"""
+Tools for deploying helm charts
+"""
+
+import logging
+import subprocess
+import time
+
+# httpx-ws 0.9.0 references anyio.AsyncContextManagerMixin
+# which was removed in anyio 4.0.
+# Remove once httpx-ws releases a fix.
+import anyio
+
+if not hasattr(anyio, "AsyncContextManagerMixin"):
+    anyio.AsyncContextManagerMixin = object
+
+import kr8s
+
+CHART_REPO = "https://github.com/EthanMarx/lightray/releases/download/"
+
+
+def authenticate():
+    result = subprocess.run(
+        ["kubectl", "cluster-info"],
+        stdout=subprocess.DEVNULL,
+        stderr=subprocess.PIPE,
+    )
+    if result.returncode != 0:
+        logging.warning(
+            "kubectl cluster-info failed (returncode %d): %s",
+            result.returncode,
+            result.stderr.decode().strip(),
+        )
+
+
+# used to monkey patch kr8s api refresh method;
+# see https://github.com/kr8s-org/kr8s/issues/214
+async def auth(self):
+    """
+    Replacement reauthenticate method that
+    uses kubectl to refresh the OIDC token
+    """
+    authenticate()
+    await self._load_kubeconfig()
+
+
+def setup_kr8s_auth():
+    """
+    Return a kr8s API instance with its reauthenticate method patched
+    to use kubectl for OIDC token refresh.
+
+    Call this before any kr8s operations that require cluster access.
+    """
+    api = kr8s.api()
+    api.auth.reauthenticate = auth.__get__(api.auth, type(api.auth))
+    return api
+
+
+class HelmChart:
+    def __init__(self, chart_url: str, release: str):
+        self.chart_url = chart_url
+        self.release = release
+        base_cmd = ["helm", "install", self.release, self.chart_url]
+
+        self.base_cmd = base_cmd
+        self.api = setup_kr8s_auth()
+
+    def install(self):
+        logging.info(f"Installing chart from {self.chart_url}")
+        try:
+            subprocess.run(self.base_cmd, check=True)
+        except subprocess.CalledProcessError as e:
+            logging.error(f"Error installing helm chart: {e}")
+            raise
+
+    def build_command(self, values: dict[str, str]) -> list[str]:
+        for k, v in values.items():
+            self.base_cmd += ["--set", f"{k}={v}"]
+
+    def uninstall(self):
+        subprocess.run(["helm", "uninstall", self.release], check=True)
+
+    def wait(self):
+        raise NotImplementedError
+
+    def __enter__(self):
+        self.install()
+        self.wait()
+        return self
+
+    def __exit__(self, exc_type, exc_value, traceback):
+        self.uninstall()
+        super().__exit__(exc_type, exc_value, traceback)
+
+
+class RayCluster(HelmChart):
+    def __init__(
+        self,
+        release: str,
+        chart_path: str | None = None,
+        chart_version: str = "0.1.3",
+    ):
+        # if no chart path is provided, use the chart
+        # in the github repo
+        if chart_path is None:
+            chart_path = f"{CHART_REPO}/ray-cluster-{chart_version}"
+            chart_path += f"/ray-cluster-{chart_version}.tgz"
+        super().__init__(chart_path, release)
+
+    def get_ip(self):
+        services = kr8s.get("service")
+        services = [s for s in services if s.name.startswith(self.release)]
+        service = [s for s in services if s.spec["type"] == "LoadBalancer"][0]
+        service.refresh()
+        return service.status.loadBalancer.ingress[0].ip
+
+    def get_pods(self):
+        pods = kr8s.get("pod")
+        # filter for pods related to this release
+        # and that aren't terminating from a previous run
+        pods = [
+            p
+            for p in pods
+            if p.name.startswith(self.release)
+            and p.status.phase in ["Pending", "Running"]
+        ]
+
+        head = [p for p in pods if "head" in p.name][0]
+        workers = [p for p in pods if "worker" in p.name]
+        return head, workers
+
+    def wait(self):
+        # get pods related to this release
+        head, workers = self.get_pods()
+
+        # wait for pods to be ready;
+        # can subclass to define "readiness"
+        ready = False
+        while not ready:
+            ready = any(p.ready() for p in workers)
+            ready = ready and head.ready()
+            time.sleep(2)
diff --git a/projects/train/train/remote.py b/projects/train/train/remote.py
new file mode 100644
index 000000000..125336c3c
--- /dev/null
+++ b/projects/train/train/remote.py
@@ -0,0 +1,295 @@
+import base64
+import logging
+import os
+import time
+from dataclasses import dataclass, field
+from pathlib import Path
+
+import jsonargparse
+from kr8s.objects import Pod, Secret
+from utils.logging import configure_logging
+
+from train.helm import authenticate, setup_kr8s_auth
+
+# Maps external Nautilus S3 URLs to the internal cluster equivalents.
+_NAUTILUS_INTERNAL_URLS = {
+    "https://s3-west.nrp-nautilus.io": "https://s3-west.nrp-nautilus.io",
+    "https://s3-central.nrp-nautilus.io": "http://rook-ceph-rgw-centrals3.rook-central",  # noqa: E501
+    "https://s3-east.nrp-nautilus.io": "http://rook-ceph-rgw-easts3.rook-east",
+}
+
+
+@dataclass
+class RemoteTrainer:
+    """
+    Manages a remote training job on a Kubernetes cluster.
+    """
+
+    remote_image: str = "ghcr.io/ml4gw/aframe/train:main"
+    request_gpus: int = 8
+    cpus_per_gpu: int = 12
+    memory_per_cpu: float = 4.0
+    base_memory: int = 32
+    min_gpu_memory: int = 15000
+    aws_endpoint_url: str = field(
+        default_factory=lambda: os.getenv("AWS_ENDPOINT_URL", "")
+    )
+    aws_access_key_id: str = field(
+        default_factory=lambda: os.getenv("AWS_ACCESS_KEY_ID", "")
+    )
+    aws_secret_access_key: str = field(
+        default_factory=lambda: os.getenv("AWS_SECRET_ACCESS_KEY", "")
+    )
+    wandb_api_key: str = field(
+        default_factory=lambda: os.getenv("WANDB_API_KEY", "")
+    )
+    use_git_sync: bool = False
+    git_url: str = "git@github.com:ML4GW/aframe.git"
+    git_ref: str = "main"
+    namespace: str = "bbhnet"
+    pod_creation_timeout: int = 7200
+
+    @property
+    def internal_endpoint_url(self) -> str:
+        """
+        Remap external Nautilus URLs to their internal cluster equivalents.
+        """
+        return _NAUTILUS_INTERNAL_URLS.get(
+            self.aws_endpoint_url, self.aws_endpoint_url
+        )
+
+    @property
+    def num_cpus(self) -> int:
+        return self.request_gpus * self.cpus_per_gpu
+
+    @property
+    def cpu_memory(self) -> str:
+        memory = self.memory_per_cpu * self.num_cpus + self.base_memory
+        return f"{memory}G"
+
+    def git_secret(self) -> Secret:
+        ssh_key_path = Path.home() / ".ssh" / "id_rsa"
+        with open(ssh_key_path) as f:
+            key = f.read()
+        encoded = base64.b64encode(key.encode("ascii")).decode("ascii")
+        spec = {
+            "apiVersion": "v1",
+            "kind": "Secret",
+            "metadata": {"name": "git-creds", "namespace": self.namespace},
+            "type": "Opaque",
+            "data": {"ssh": encoded},
+        }
+        return Secret(resource=spec)
+
+    def pod_spec(self, args: list[str]) -> dict:
+        spec = {
+            "affinity": {
+                "nodeAffinity": {
+                    "requiredDuringSchedulingIgnoredDuringExecution": {
+                        "nodeSelectorTerms": [
+                            {
+                                "matchExpressions": [
+                                    {
+                                        "key": "nvidia.com/gpu.memory",
+                                        "operator": "Gt",
+                                        "values": [f"{self.min_gpu_memory}"],
+                                    }
+                                ]
+                            }
+                        ]
+                    }
+                }
+            },
+            "restartPolicy": "Never",
+            "containers": [
+                {
+                    "name": "train",
+                    "image": self.remote_image,
+                    "imagePullPolicy": "Always",
+                    "command": ["python", "-m", "train"],
+                    "args": args,
+                    "volumeMounts": [
+                        {"mountPath": "/dev/shm", "name": "dshm"},
+                    ],
+                    "resources": {
+                        "limits": {
+                            "memory": self.cpu_memory,
+                            "cpu": f"{self.num_cpus}",
+                            "nvidia.com/gpu": f"{self.request_gpus}",
+                        },
+                        "requests": {
+                            "memory": self.cpu_memory,
+                            "cpu": f"{self.num_cpus}",
+                            "nvidia.com/gpu": f"{self.request_gpus}",
+                        },
+                    },
+                    "envFrom": [{"secretRef": {"name": "s3-credentials"}}],
+                    "env": [
+                        {
+                            "name": "AWS_ENDPOINT_URL",
+                            "value": self.internal_endpoint_url,
+                        },
+                        {
+                            "name": "WANDB_API_KEY",
+                            "value": self.wandb_api_key,
+                        },
+                    ],
+                }
+            ],
+            "volumes": [
+                {
+                    "name": "dshm",
+                    "emptyDir": {"sizeLimit": "256Gi", "medium": "Memory"},
+                },
+            ],
+        }
+
+        if self.use_git_sync:
+            spec["initContainers"] = [
+                {
+                    "name": "git-sync",
+                    "image": "registry.k8s.io/git-sync/git-sync:v4.2.1",
+                    "env": [
+                        {"name": "GITSYNC_REPO", "value": self.git_url},
+                        {"name": "GITSYNC_REF", "value": self.git_ref},
+                        {"name": "GITSYNC_ROOT", "value": "/opt"},
+                        {"name": "GITSYNC_LINK", "value": "aframe"},
+                        {"name": "GITSYNC_ONE_TIME", "value": "true"},
+                        {"name": "GITSYNC_SSH_KNOWN_HOSTS", "value": "false"},
+                        {"name": "GITSYNC_SUBMODULES", "value": "recursive"},
+                        {"name": "GITSYNC_ADD_USER", "value": "true"},
+                        {"name": "GITSYNC_SYNC_TIMEOUT", "value": "360s"},
+                    ],
+                    "volumeMounts": [
+                        {"name": "aframe", "mountPath": "/opt"},
+                        {
+                            "name": "git-creds",
+                            "mountPath": "/etc/git-secret",
+                            "readOnly": True,
+                        },
+                    ],
+                    "securityContext": {"runAsUser": 65533},
+                }
+            ]
+            spec["containers"][0]["volumeMounts"].append(
+                {"mountPath": "/opt", "name": "aframe"}
+            )
+            spec["volumes"] += [
+                {"name": "aframe", "emptyDir": {}},
+                {"name": "git-creds", "secret": {"secretName": "git-creds"}},
+            ]
+
+        return spec
+
+    def wait_for_completion(self, pod: Pod) -> str:
+        """
+        Poll the pod until it terminates.
+        """
+        start = time.monotonic()
+        while True:
+            pod.refresh()
+            phase = pod.status.phase
+            if phase in ("Succeeded", "Failed"):
+                return phase
+            elapsed = time.monotonic() - start
+            if elapsed > self.pod_creation_timeout and phase == "Pending":
+                raise TimeoutError(
+                    f"Pod still Pending after {self.pod_creation_timeout}s"
+                )
+            time.sleep(10)
+
+    def run(self, args: list[str]) -> None:
+        """
+        Launch a training pod on Kubernetes, stream its logs, and
+        wait for completion. Cleans up secrets and the pod on exit.
+
+        Args:
+            args: Arguments forwarded verbatim to `python -m train`
+                  inside the pod (e.g. ["fit", "--config", "..."]).
+        """
+        authenticate()
+        setup_kr8s_auth()
+
+        s3_secret = Secret(
+            resource={
+                "apiVersion": "v1",
+                "kind": "Secret",
+                "metadata": {
+                    "name": "s3-credentials",
+                    "namespace": self.namespace,
+                },
+                "type": "Opaque",
+                "stringData": {
+                    "AWS_ACCESS_KEY_ID": self.aws_access_key_id,
+                    "AWS_SECRET_ACCESS_KEY": self.aws_secret_access_key,
+                },
+            }
+        )
+        git_secret = self.git_secret() if self.use_git_sync else None
+
+        if not s3_secret.exists():
+            s3_secret.create()
+        if git_secret is not None and not git_secret.exists():
+            git_secret.create()
+
+        pod_manifest = {
+            "apiVersion": "v1",
+            "kind": "Pod",
+            "metadata": {
+                "name": "aframe-train",
+                "namespace": self.namespace,
+            },
+            "spec": self.pod_spec(args),
+        }
+        pod = Pod(resource=pod_manifest)
+
+        try:
+            pod.create()
+            logging.info(
+                f"Created pod aframe-train in namespace {self.namespace}"
+            )
+            for line in pod.logs(follow=True):
+                logging.info(line)
+            phase = self.wait_for_completion(pod)
+            if phase != "Succeeded":
+                raise RuntimeError(
+                    f"Training pod terminated with phase '{phase}'"
+                )
+            logging.info("Training completed successfully")
+        finally:
+            pod.delete()
+            s3_secret.delete()
+            if git_secret is not None:
+                git_secret.delete()
+
+
+def build_parser():
+    parser = jsonargparse.ArgumentParser()
+    parser.add_argument("--config", action=jsonargparse.ActionConfigFile)
+    parser.add_argument("--logfile", type=str, default=None)
+    parser.add_argument("--verbose", type=bool, default=False)
+    parser.add_class_arguments(RemoteTrainer)
+    parser.add_argument(
+        "--train_args",
+        nargs="*",
+        default=[],
+        help="Arguments forwarded verbatim to `python -m train` in the pod "
+        "(e.g. fit --config config.yaml --data.sample_rate 2048).",
+    )
+    return parser
+
+
+def main(args=None):
+    parser = build_parser()
+    cfg = parser.parse_args(args)
+
+    if cfg.logfile is not None:
+        Path(cfg.logfile).parent.mkdir(parents=True, exist_ok=True)
+    configure_logging(cfg.logfile, cfg.verbose)
+
+    cfg = parser.instantiate_classes(cfg)
+    cfg.trainer.run(cfg.train_args)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/projects/train/uv.lock b/projects/train/uv.lock
index 6a28d2c0c..ec3713e33 100644
--- a/projects/train/uv.lock
+++ b/projects/train/uv.lock
@@ -37,7 +37,7 @@ requires-dist = [
     { name = "boto3", specifier = ">=1.34.4,<2" },
     { name = "cloudpathlib", specifier = ">=0.18.1,<0.19" },
     { name = "jsonargparse", specifier = ">=4.27.1,<5" },
-    { name = "kr8s", specifier = ">=0.10.0,<0.11" },
+    { name = "kr8s", specifier = ">=0.20.0" },
     { name = "law", specifier = ">=0.1.20" },
     { name = "luigi", specifier = "~=3.0" },
     { name = "ml4gw-hermes", git = "https://github.com/ML4GW/hermes?branch=dev" },
@@ -206,16 +206,15 @@ sdist = { url = "https://files.pythonhosted.org/packages/3e/38/7859ff46355f76f8d
 
 [[package]]
 name = "anyio"
-version = "4.8.0"
+version = "4.13.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "idna" },
-    { name = "sniffio" },
     { name = "typing-extensions", marker = "python_full_version < '3.13'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/a3/73/199a98fc2dae33535d6b8e8e6ec01f8c1d76c9adb096c6b7d64823038cde/anyio-4.8.0.tar.gz", hash = "sha256:1d9fe889df5212298c0c0723fa20479d1b94883a2df44bd3897aa91083316f7a", size = 181126, upload-time = "2025-01-05T13:13:11.095Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/19/14/2c5dd9f512b66549ae92767a9c7b330ae88e1932ca57876909410251fe13/anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc", size = 231622, upload-time = "2026-03-24T12:59:09.671Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/46/eb/e7f063ad1fec6b3178a3cd82d1a3c4de82cccf283fc42746168188e1cdd5/anyio-4.8.0-py3-none-any.whl", hash = "sha256:b5011f270ab5eb0abf13385f851315585cc37ef330dd88e27ec3d34d651fd47a", size = 96041, upload-time = "2025-01-05T13:13:07.985Z" },
+    { url = "https://files.pythonhosted.org/packages/da/42/e921fccf5015463e32a3cf6ee7f980a6ed0f395ceeaa45060b61d86486c2/anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708", size = 114353, upload-time = "2026-03-24T12:59:08.246Z" },
 ]
 
 [[package]]
@@ -925,6 +924,18 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/f9/ef/2196b9bf88ffa1bde45853c72df021fbd07a8fa91a0f59a22d14a050dc04/emcee-3.1.6-py2.py3-none-any.whl", hash = "sha256:f2d63752023bdccf744461450e512a5b417ae7d28f18e12acd76a33de87580cb", size = 47351, upload-time = "2024-04-19T10:03:17.522Z" },
 ]
 
+[[package]]
+name = "exceptiongroup"
+version = "1.3.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "typing-extensions", marker = "python_full_version < '3.12'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/50/79/66800aadf48771f6b62f7eb014e352e5d06856655206165d775e675a02c9/exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219", size = 30371, upload-time = "2025-11-21T23:01:54.787Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/8a/0e/97c33bf5009bdbac74fd2beace167cab3f978feb69cc36f1ef79360d6c4e/exceptiongroup-1.3.1-py3-none-any.whl", hash = "sha256:a7a39a3bd276781e98394987d3a5701d0c4edffb633bb7a5144577f82c773598", size = 16740, upload-time = "2025-11-21T23:01:53.443Z" },
+]
+
 [[package]]
 name = "executing"
 version = "2.2.0"
@@ -1242,6 +1253,21 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/2a/39/e50c7c3a983047577ee07d2a9e53faf5a69493943ec3f6a384bdc792deb2/httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad", size = 73517, upload-time = "2024-12-06T15:37:21.509Z" },
 ]
 
+[[package]]
+name = "httpx-ws"
+version = "0.9.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "anyio" },
+    { name = "httpcore" },
+    { name = "httpx" },
+    { name = "wsproto" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/cd/cd/ca91a07ae446451f7476bf3fcc909e98cb942ff032ebfda0e3fe449aca7b/httpx_ws-0.9.0.tar.gz", hash = "sha256:797373326f70eec1ae96f6e43ae9f12002fd7d73aee139a4985eaab964338a08", size = 107105, upload-time = "2026-03-28T14:11:10.781Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/98/f8/a6bc80313a9e93c888fa10534dfce2ad76ff86911b6f485777ce6de6a073/httpx_ws-0.9.0-py3-none-any.whl", hash = "sha256:71640d2fb1bf9a225775015b33cd755cfd4c5f7e21c885192fe3adc4c387b248", size = 15759, upload-time = "2026-03-28T14:11:11.887Z" },
+]
+
 [[package]]
 name = "idna"
 version = "3.10"
@@ -1767,19 +1793,24 @@ wheels = [
 
 [[package]]
 name = "kr8s"
-version = "0.10.0"
+version = "0.20.15"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "aiohttp" },
     { name = "anyio" },
+    { name = "cachetools" },
+    { name = "cryptography" },
+    { name = "exceptiongroup", marker = "python_full_version < '3.12'" },
     { name = "httpx" },
+    { name = "httpx-ws" },
+    { name = "packaging" },
     { name = "python-box" },
     { name = "python-jsonpath" },
     { name = "pyyaml" },
+    { name = "typing-extensions", marker = "python_full_version < '3.12'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/b8/0a/db52898da5e1ca08e7e6e7b4c5f50edb4098400af903ca2bcc6161b4338d/kr8s-0.10.0.tar.gz", hash = "sha256:7963f52d24e567e6a2cb29adcaa8479daa5d47491d604036e0b169f5eac98942", size = 2811130, upload-time = "2023-11-06T16:09:09.069Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/20/55/ca9ff53d97413a0dca36c30da80750415350876aa23ea8a762a0b06c6d1f/kr8s-0.20.15.tar.gz", hash = "sha256:484d5206bbebd48f8cc00dd3ed749d4419294d2f08cd50c6232114cf62ed6d3a", size = 2839774, upload-time = "2026-01-16T15:23:42.645Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/98/ff/68600c19eaa59a4c7532dcdcf95bf151063d63bb359ce0611e2f666d09d5/kr8s-0.10.0-py3-none-any.whl", hash = "sha256:a558e6250b371a1210f62c9a4b72ee5cb59152550e405b6d1fe29a2767a3dfa8", size = 44656, upload-time = "2023-11-06T16:09:07.062Z" },
+    { url = "https://files.pythonhosted.org/packages/59/08/4247abe88116c1e59dd9b62992d8a69b7178f4046c85cca03eda7e3d87e3/kr8s-0.20.15-py3-none-any.whl", hash = "sha256:eacc6eb72b6354d932a1e22c0cb698c88adbd815c36164c24c2232a69dfabe40", size = 87670, upload-time = "2026-01-16T15:23:40.593Z" },
 ]
 
 [[package]]
@@ -2399,7 +2430,7 @@ name = "nvidia-cudnn-cu12"
 version = "9.1.0.70"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-cublas-cu12", marker = "platform_machine != 'x86_64' or sys_platform != 'darwin'" },
+    { name = "nvidia-cublas-cu12", marker = "sys_platform == 'linux'" },
 ]
 wheels = [
     { url = "https://files.pythonhosted.org/packages/9f/fd/713452cd72343f682b1c7b9321e23829f00b842ceaedcda96e742ea0b0b3/nvidia_cudnn_cu12-9.1.0.70-py3-none-manylinux2014_x86_64.whl", hash = "sha256:165764f44ef8c61fcdfdfdbe769d687e06374059fbb388b6c89ecb0e28793a6f", size = 664752741, upload-time = "2024-04-22T15:24:15.253Z" },
@@ -2410,7 +2441,7 @@ name = "nvidia-cufft-cu12"
 version = "11.2.1.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-nvjitlink-cu12", marker = "platform_machine != 'x86_64' or sys_platform != 'darwin'" },
+    { name = "nvidia-nvjitlink-cu12", marker = "sys_platform == 'linux'" },
 ]
 wheels = [
     { url = "https://files.pythonhosted.org/packages/27/94/3266821f65b92b3138631e9c8e7fe1fb513804ac934485a8d05776e1dd43/nvidia_cufft_cu12-11.2.1.3-py3-none-manylinux2014_x86_64.whl", hash = "sha256:f083fc24912aa410be21fa16d157fed2055dab1cc4b6934a0e03cba69eb242b9", size = 211459117, upload-time = "2024-04-03T20:57:40.402Z" },
@@ -2429,9 +2460,9 @@ name = "nvidia-cusolver-cu12"
 version = "11.6.1.9"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-cublas-cu12", marker = "platform_machine != 'x86_64' or sys_platform != 'darwin'" },
-    { name = "nvidia-cusparse-cu12", marker = "platform_machine != 'x86_64' or sys_platform != 'darwin'" },
-    { name = "nvidia-nvjitlink-cu12", marker = "platform_machine != 'x86_64' or sys_platform != 'darwin'" },
+    { name = "nvidia-cublas-cu12", marker = "sys_platform == 'linux'" },
+    { name = "nvidia-cusparse-cu12", marker = "sys_platform == 'linux'" },
+    { name = "nvidia-nvjitlink-cu12", marker = "sys_platform == 'linux'" },
 ]
 wheels = [
     { url = "https://files.pythonhosted.org/packages/3a/e1/5b9089a4b2a4790dfdea8b3a006052cfecff58139d5a4e34cb1a51df8d6f/nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_x86_64.whl", hash = "sha256:19e33fa442bcfd085b3086c4ebf7e8debc07cfe01e11513cc6d332fd918ac260", size = 127936057, upload-time = "2024-04-03T20:58:28.735Z" },
@@ -2442,7 +2473,7 @@ name = "nvidia-cusparse-cu12"
 version = "12.3.1.170"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-nvjitlink-cu12", marker = "platform_machine != 'x86_64' or sys_platform != 'darwin'" },
+    { name = "nvidia-nvjitlink-cu12", marker = "sys_platform == 'linux'" },
 ]
 wheels = [
     { url = "https://files.pythonhosted.org/packages/db/f7/97a9ea26ed4bbbfc2d470994b8b4f338ef663be97b8f677519ac195e113d/nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_x86_64.whl", hash = "sha256:ea4f11a2904e2a8dc4b1833cc1b5181cde564edd0d5cd33e3c168eff2d1863f1", size = 207454763, upload-time = "2024-04-03T20:58:59.995Z" },
@@ -3809,15 +3840,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/04/be/d09147ad1ec7934636ad912901c5fd7667e1c858e19d355237db0d0cd5e4/smmap-5.0.2-py3-none-any.whl", hash = "sha256:b30115f0def7d7531d22a0fb6502488d879e75b260a9db4d0819cfb25403af5e", size = 24303, upload-time = "2025-01-02T07:14:38.724Z" },
 ]
 
-[[package]]
-name = "sniffio"
-version = "1.3.1"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/a2/87/a6771e1546d97e7e041b6ae58d80074f81b7d5121207425c964ddf5cfdbd/sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc", size = 20372, upload-time = "2024-02-25T23:20:04.057Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/e9/44/75a9c9421471a6c4805dbf2356f7c181a29c1879239abab1ea2cc8f38b40/sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2", size = 10235, upload-time = "2024-02-25T23:20:01.196Z" },
-]
-
 [[package]]
 name = "soupsieve"
 version = "2.6"
@@ -4044,6 +4066,7 @@ dependencies = [
     { name = "filelock" },
     { name = "fsspec", extra = ["s3"] },
     { name = "jsonargparse", extra = ["signatures"] },
+    { name = "kr8s" },
     { name = "ledger" },
     { name = "lightning" },
     { name = "lightray" },
@@ -4074,6 +4097,7 @@ requires-dist = [
     { name = "filelock", specifier = ">=3.13.1,<4" },
     { name = "fsspec", extras = ["s3"], specifier = ">=2024,<2025" },
     { name = "jsonargparse", extras = ["signatures"], specifier = "~=4.29" },
+    { name = "kr8s", specifier = ">=0.20.0" },
     { name = "ledger", editable = "../../libs/ledger" },
     { name = "lightning", specifier = ">=2.2.1" },
     { name = "lightray", specifier = ">=0.2.3" },
@@ -4108,7 +4132,7 @@ name = "triton"
 version = "3.1.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "filelock", marker = "platform_machine != 'x86_64' or sys_platform != 'darwin'" },
+    { name = "filelock", marker = "python_full_version < '3.13' and sys_platform == 'linux'" },
 ]
 wheels = [
     { url = "https://files.pythonhosted.org/packages/86/17/d9a5cf4fcf46291856d1e90762e36cbabd2a56c7265da0d1d9508c8e3943/triton-3.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0f34f6e7885d1bf0eaaf7ba875a5f0ce6f3c13ba98f9503651c1e6dc6757ed5c", size = 209506424, upload-time = "2024-10-14T16:05:42.337Z" },
@@ -4373,6 +4397,18 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/2d/82/f56956041adef78f849db6b289b282e72b55ab8045a75abad81898c28d19/wrapt-1.17.2-py3-none-any.whl", hash = "sha256:b18f2d1533a71f069c7f82d524a52599053d4c7166e9dd374ae2136b7f40f7c8", size = 23594, upload-time = "2025-01-14T10:35:44.018Z" },
 ]
 
+[[package]]
+name = "wsproto"
+version = "1.2.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "h11" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/c9/4a/44d3c295350d776427904d73c189e10aeae66d7f555bb2feee16d1e4ba5a/wsproto-1.2.0.tar.gz", hash = "sha256:ad565f26ecb92588a3e43bc3d96164de84cd9902482b130d0ddbaa9664a85065", size = 53425, upload-time = "2022-08-23T19:58:21.447Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/78/58/e860788190eba3bcce367f74d29c4675466ce8dddfba85f7827588416f01/wsproto-1.2.0-py3-none-any.whl", hash = "sha256:b9acddd652b585d75b20477888c56642fdade28bdfd3579aa24a4d2c037dd736", size = 24226, upload-time = "2022-08-23T19:58:19.96Z" },
+]
+
 [[package]]
 name = "xyzservices"
 version = "2025.1.0"
diff --git a/pyproject.toml b/pyproject.toml
index d6cc847c2..5abc9c5ac 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -13,7 +13,7 @@ dependencies = [
     "utils",
     "ml4gw-hermes",
     "law>=0.1.20",
-    "kr8s>=0.10.0,<0.11",
+    "kr8s>=0.20.0",
     "pykube-ng[oidc]>=23.6.0,<24",
     "spython>=0.3",
     "boto3>=1.34.4,<2",
diff --git a/uv.lock b/uv.lock
index 25a736590..729278c81 100644
--- a/uv.lock
+++ b/uv.lock
@@ -45,7 +45,7 @@ requires-dist = [
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     { name = "cloudpathlib", specifier = ">=0.18.1,<0.19" },
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