Fix Copyright year to 2026 (#633)

Author: potiuk

.pre-commit-config.yaml

@@ -1,4 +1,4 @@
-# Copyright 2025 Apache Software Foundation
+# Copyright 2026 Apache Software Foundation
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.

.style.yapf

@@ -1,4 +1,4 @@
-# Copyright 2025 Apache Software Foundation
+# Copyright 2026 Apache Software Foundation
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.

NOTICE

@@ -1,5 +1,5 @@
 Apache Burr (Incubating)
-Copyright 2025 The Apache Software Foundation
+Copyright 2026 The Apache Software Foundation
 
 This product includes software developed at
 The Apache Software Foundation (http://www.apache.org/).

burr/tracking/server/s3/deployment/terraform/.terraform.lock.hcl

@@ -6,7 +6,7 @@
    "outputs": [],
    "execution_count": null,
    "source": [
-    "# Copyright 2025 Apache Software Foundation\n",
+    "# Copyright 2026 Apache Software Foundation\n",
     "#\n",
     "# Licensed under the Apache License, Version 2.0 (the \"License\");\n",
     "# you may not use this file except in compliance with the License.\n",
@@ -180,7 +180,7 @@
    "source": [
     "## Deep Researcher\n",
     "\n",
-    "This is an example of a research assistant agent that uses llm chat and llm-friendly search together to provide a report, complete with internet citations, on a topic of the user's choosing. The graph for the agent includes optional reflection and re-writing that is implemented as a loop. This particular version of a research assistant uses the OpenAI API code for chat and the Tavily API for search. \n",
+    "This is an example of a research assistant agent that uses llm chat and llm-friendly search together to provide a report, complete with internet citations, on a topic of the user's choosing. The graph for the agent includes optional reflection and re-writing that is implemented as a loop. This particular version of a research assistant uses the OpenAI API code for chat and the Tavily API for search.\n",
     "\n",
     "Given a research topic, the research assistant flow consists of several steps. On initialization, the assistant must:\n",
     "\n",
@@ -197,7 +197,7 @@
     "5. Finalize summary with formatted sources and return it to the user.\n",
     "\n",
     "The graph for the application is visualized below.\n",
-    "   \n"
+    "\n"
    ]
   },
   {
@@ -364,7 +364,7 @@
    "source": [
     "my_research_topic = \"getting a job in datascience\"\n",
     "action, state, result = app.run(halt_after=[\"finalize_summary\"], inputs={\"research_topic\": my_research_topic})\n",
-    "print(app.state[\"running_summary\"])     "
+    "print(app.state[\"running_summary\"])"
    ]
   },
   {
@@ -384,7 +384,7 @@
    "source": [
     "my_research_topic = \"how to get started with canning food at home\"\n",
     "action, state, result = app.run(halt_after=[\"finalize_summary\"], inputs={\"research_topic\": my_research_topic})\n",
-    "print(app.state[\"running_summary\"]) "
+    "print(app.state[\"running_summary\"])"
    ]
   },
   {

examples/deep-researcher/notebook.ipynb

@@ -1,4 +1,4 @@
-# Copyright 2025 Apache Software Foundation
+# Copyright 2026 Apache Software Foundation
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.

examples/deep-researcher/requirements.txt

@@ -6,7 +6,7 @@
    "outputs": [],
    "execution_count": null,
    "source": [
-    "# Copyright 2025 Apache Software Foundation\n",
+    "# Copyright 2026 Apache Software Foundation\n",
     "#\n",
     "# Licensed under the Apache License, Version 2.0 (the \"License\");\n",
     "# you may not use this file except in compliance with the License.\n",
@@ -57,15 +57,15 @@
    "source": [
     "# The Application\n",
     "\n",
-    "We're modeling this as a multi-shot model. No sane person would trust GPT-x to respond on their behalf, \n",
+    "We're modeling this as a multi-shot model. No sane person would trust GPT-x to respond on their behalf,\n",
     "but it can be quite valuable in helping automate the process of responding to an email and deciding how to respond.\n",
     "There are a few interaction points:\n",
     "\n",
     "1. Initially, the user provides an email and response instructions (note this should probably be changed to be a chain of emails)\n",
     "2. The LLM has the option to ask a set of clarifying questions that the user can then respond to\n",
     "3. The user then provides feedback. If feedback is empty, the LLM will return a result\n",
     "\n",
-    "This demonstrates how to use Burr to move in/out of more complex flows. \n",
+    "This demonstrates how to use Burr to move in/out of more complex flows.\n",
     "\n",
     "First, we instantiate/visualize the application. To see the code, see [application.py](application.py)."
    ]
@@ -146,9 +146,9 @@
     "Regards,\n",
     "Someone\"\"\"\n",
     "\n",
-    "INSTRUCTIONS = \"\"\"I get a bunch of these emails and usually ignore them. I don't want to pay \n",
-    "(or really engage) but I want to see if they can help promote our tooling, \n",
-    "particularly the OS libraries Hamilton and Burr, which are tools for AI practitioners. \n",
+    "INSTRUCTIONS = \"\"\"I get a bunch of these emails and usually ignore them. I don't want to pay\n",
+    "(or really engage) but I want to see if they can help promote our tooling,\n",
+    "particularly the OS libraries Hamilton and Burr, which are tools for AI practitioners.\n",
     "Let's see if we can turn this cold-call around.\n",
     "\"\"\""
    ]
@@ -200,7 +200,7 @@
     "\n",
     "def request_feedback(draft):\n",
     "    \"\"\"Requests feedback from the user for a draft\"\"\"\n",
-    "    print( \n",
+    "    print(\n",
     "        f\"here's a draft!: \\n {draft} \\n \\n What feedback do you have?\",\n",
     "        \"If you have no feedback then we'll finish it up.\"\n",
     "    )\n",
@@ -212,7 +212,7 @@
     "}\n",
     "while True:\n",
     "    action, result, state = app.run(\n",
-    "        halt_before=[\"clarify_instructions\", \"process_feedback\"], \n",
+    "        halt_before=[\"clarify_instructions\", \"process_feedback\"],\n",
     "        halt_after=[\"final_result\"],\n",
     "        inputs=inputs\n",
     "    )\n",

examples/email-assistant/notebook.ipynb

@@ -1,4 +1,4 @@
-# Copyright 2025 Apache Software Foundation
+# Copyright 2026 Apache Software Foundation
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.

examples/email-assistant/requirements.txt

@@ -6,7 +6,7 @@
    "outputs": [],
    "execution_count": null,
    "source": [
-    "# Copyright 2025 Apache Software Foundation\n",
+    "# Copyright 2026 Apache Software Foundation\n",
     "#\n",
     "# Licensed under the Apache License, Version 2.0 (the \"License\");\n",
     "# you may not use this file except in compliance with the License.\n",

examples/hello-world-counter/notebook.ipynb

@@ -6,7 +6,7 @@
    "outputs": [],
    "execution_count": null,
    "source": [
-    "# Copyright 2025 Apache Software Foundation\n",
+    "# Copyright 2026 Apache Software Foundation\n",
     "#\n",
     "# Licensed under the Apache License, Version 2.0 (the \"License\");\n",
     "# you may not use this file except in compliance with the License.\n",
@@ -123,7 +123,7 @@
     "import copy\n",
     "\n",
     "from IPython.display import Image, display\n",
-    "from IPython.core.display import HTML \n",
+    "from IPython.core.display import HTML\n",
     "import openai\n",
     "\n",
     "from burr.core import ApplicationBuilder, State, default, graph, when\n",
@@ -190,7 +190,7 @@
     "def chat_response(\n",
     "        state: State, prepend_prompt: str, model: str = \"gpt-3.5-turbo\"\n",
     ") -> State:\n",
-    "    \n",
+    "\n",
     "    chat_history = copy.deepcopy(state[\"chat_history\"])\n",
     "    chat_history[-1][\"content\"] = f\"{prepend_prompt}: {chat_history[-1]['content']}\"\n",
     "    chat_history_api_format = [\n",
@@ -409,7 +409,7 @@
     "base_graph = (\n",
     "    graph.GraphBuilder()\n",
     "    .with_actions(\n",
-    "        # these are the \"nodes\" \n",
+    "        # these are the \"nodes\"\n",
     "        prompt=process_prompt,\n",
     "        decide_mode=choose_mode,\n",
     "        generate_image=image_response,\n",
@@ -635,8 +635,8 @@
     "    ApplicationBuilder()\n",
     "    .with_graph(base_graph)\n",
     "    .initialize_from(\n",
-    "        tracker, \n",
-    "        resume_at_next_action=True, \n",
+    "        tracker,\n",
+    "        resume_at_next_action=True,\n",
     "        default_state={\"chat_history\": []},\n",
     "        default_entrypoint=\"prompt\",\n",
     "    )\n",
@@ -744,7 +744,7 @@
     "    if \"quit\" == user_input.lower():\n",
     "        break\n",
     "    last_action, action_result, app_state = app.run(\n",
-    "        halt_after=[\"response\"], \n",
+    "        halt_after=[\"response\"],\n",
     "        inputs={\"prompt\": user_input}\n",
     "    )\n",
     "    last_message = app_state[\"chat_history\"][-1]\n",
@@ -796,7 +796,7 @@
     "    .with_graph(base_graph)\n",
     "    .initialize_from(\n",
     "        tracker,\n",
-    "        resume_at_next_action=True, \n",
+    "        resume_at_next_action=True,\n",
     "        default_state={\"chat_history\": []},\n",
     "        default_entrypoint=\"prompt\",\n",
     "    )\n",
@@ -868,7 +868,7 @@
     "    if \"quit\" == user_input.lower():\n",
     "        break\n",
     "    last_action, action_result, app_state = resumed_app.run(\n",
-    "        halt_after=[\"response\"], \n",
+    "        halt_after=[\"response\"],\n",
     "        inputs={\"prompt\": user_input}\n",
     "    )\n",
     "    last_message = app_state[\"chat_history\"][-1]\n",
@@ -917,7 +917,7 @@
     "    .with_graph(base_graph) # this could be different...\n",
     "    .initialize_from(\n",
     "        tracker,\n",
-    "        resume_at_next_action=True, \n",
+    "        resume_at_next_action=True,\n",
     "        default_state={\"chat_history\": []},\n",
     "        default_entrypoint=\"prompt\",\n",
     "        fork_from_app_id=app_id,\n",
@@ -997,7 +997,7 @@
     "    if \"quit\" == user_input.lower():\n",
     "        break\n",
     "    last_action, action_result, app_state = forked_app.run(\n",
-    "        halt_after=[\"response\"], \n",
+    "        halt_after=[\"response\"],\n",
     "        inputs={\"prompt\": user_input}\n",
     "    )\n",
     "    last_message = app_state[\"chat_history\"][-1]\n",
@@ -1021,7 +1021,7 @@
     "\n",
     "[Time Travel blog post & video:](https://blog.dagworks.io/p/travel-back-in-time-with-burr)\n",
     "\n",
-    "<a href=\"https://www.youtube.com/embed/98vxhIcE6NI?si=oV1BbSUCKa1UvX5P\"><img src=\"https://img.youtube.com/vi/98vxhIcE6NI/0.jpg\"> \n",
+    "<a href=\"https://www.youtube.com/embed/98vxhIcE6NI?si=oV1BbSUCKa1UvX5P\"><img src=\"https://img.youtube.com/vi/98vxhIcE6NI/0.jpg\">\n",
     "</img>\n",
     "<a href=\"https://www.youtube.com/embed/98vxhIcE6NI?si=oV1BbSUCKa1UvX5P\">\n",
     "\n",