Grade against 3.14 too, not just run on it

The pre-commit workflow already installs `python-version: "3.x"`, but ruff was
still grading the archive against py310 -- so it kept withholding the pyupgrade
and type-checking fixes that only become safe at the newer target.
`pin_ci_python.py` rewrites the knob.

The 17 findings that appeared are what the stale target was hiding:
`datetime.timezone.utc` where `datetime.UTC` is now correct (UP017), and 14
imports used only in annotations that belong under `TYPE_CHECKING` (TC002,
TC003) -- safe here precisely because 3.14's PEP 649 defers annotation
evaluation, which is the same reason ruff would not offer them at py310.

`ruff check` and `ruff format --check` are clean again, so the zero-findings
state this repo reached earlier today holds at the new target.

Still contradictory and deliberately untouched: the four
`Programming/ERSMS-project/*/Dockerfile` files say `FROM python:3.10-slim`.
They build an archived coursework service against its own era's pinned
dependencies, and nothing in this repo runs them; bumping the base image would
be a rewrite of that project, not a lint-target change.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01SfnJmxxsZ534AKk16rC2Gr

Programming/EARIN/lab3/main.py

@@ -9,13 +9,16 @@ import logging
 import sys
 import tempfile
 import time
-from collections.abc import Callable
 from pathlib import Path
+from typing import TYPE_CHECKING
 
 import cv2
 import matplotlib.pyplot as plt
 import numpy as np
 
+if TYPE_CHECKING:
+    from collections.abc import Callable
+
 # cv2.waitKey returns the ASCII code of the key pressed; 'q' quits.
 KEY_Q = ord("q")
 # NumPy's legacy np.random.* functions share one global state; Generator is

Programming/EARIN/project/final/code/main.py

@@ -466,7 +466,7 @@ def write_test_results(title: str, result: object = "") -> None:
         Path("test_results").mkdir(parents=True)
 
     # Generate timestamped filename
-    timestamp = datetime.datetime.now(tz=datetime.timezone.utc).strftime(
+    timestamp = datetime.datetime.now(tz=datetime.UTC).strftime(
         "%Y%m%d%H%M%S"
     )  # e.g., 20230611235959
     filename = f"{title}_{timestamp}.txt"

Programming/ERSMS-project/connector/Include/frontend_AI_connector.py

@@ -14,7 +14,7 @@ import os
 import time
 from configparser import ConfigParser
 from dataclasses import dataclass
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 from typing import TYPE_CHECKING
 
 import pandas as pd
@@ -89,9 +89,7 @@ MOVIES = Movies()
 @cache.cached(timeout=69)
 def hello() -> ResponseReturnValue:
     """Liveness check."""
-    return jsonify(
-        {"response": "Hello there", "time": datetime.now(tz=timezone.utc)}
-    ), HTTP_OK
+    return jsonify({"response": "Hello there", "time": datetime.now(tz=UTC)}), HTTP_OK
 
 
 # endpoint do wyciągania danych o userze

Programming/NLP/gpt_alignment.py

@@ -8,10 +8,13 @@ them here would put newlines into the middle of the prompt itself.
 
 import os
 from pathlib import Path
+from typing import TYPE_CHECKING
 
-import pandas as pd
 from openai import OpenAI
 
+if TYPE_CHECKING:
+    import pandas as pd
+
 PROMPTS = Path(__file__).parent / "prompts"
 THE_PROMPT = (PROMPTS / "alignment.txt").read_text(encoding="utf-8")
 THE_PROMPT_WITH_COMMENT = (PROMPTS / "alignment_with_comment.txt").read_text(

Programming/NLP/gpt_chunks.py

@@ -4,11 +4,15 @@
 import logging
 import os
 import re
-from collections.abc import Callable
 from pathlib import Path
+from typing import TYPE_CHECKING
 
 from openai import OpenAI
-from openai.types.chat import ChatCompletion
+
+if TYPE_CHECKING:
+    from collections.abc import Callable
+
+    from openai.types.chat import ChatCompletion
 
 logger = logging.getLogger(__name__)
 logging.basicConfig(format="%(message)s", level=logging.INFO)

Programming/PORR/code/richardson_method.py

@@ -4,13 +4,16 @@
 import gc
 import logging
 import time
+from typing import TYPE_CHECKING
 
 import linear_algebra_utils as lin_alg
 import numpy as np
 from processing_type import ProcessingType
-from richardson_problem import Problem, Settings
 from time_measurement import tests_time, time_accumulator, time_measurement
 
+if TYPE_CHECKING:
+    from richardson_problem import Problem, Settings
+
 # These helpers are called with numpy arrays in some backends and plain
 # Python lists in others, which is the point of the comparison this course
 # is about, so the aliases name both.

Programming/PORR/code/threads_indep.py

@@ -4,17 +4,20 @@
 import gc
 import logging
 import time
+from typing import TYPE_CHECKING
 
 import linear_algebra_utils as lin_alg
 import numpy as np
 from numba import njit, prange
-from richardson_problem import Problem, Settings
 from time_measurement import (
     longest_threads_time_accumulator,
     tests_time,
     time_measurement_longest,
 )
 
+if TYPE_CHECKING:
+    from richardson_problem import Problem, Settings
+
 logger = logging.getLogger(__name__)
 
 # Called with numpy arrays here and with plain lists in the sequential

Programming/PORR/code/threads_indep_old.py

@@ -5,18 +5,22 @@ import gc
 import logging
 import multiprocessing
 import time
-from collections.abc import Callable
 from concurrent.futures import ThreadPoolExecutor
+from typing import TYPE_CHECKING
 
 import linear_algebra_utils as lin_alg
 import numpy as np
-from richardson_problem import Problem, Settings
 from time_measurement import (
     longest_threads_time_accumulator,
     tests_time,
     time_measurement_longest,
 )
 
+if TYPE_CHECKING:
+    from collections.abc import Callable
+
+    from richardson_problem import Problem, Settings
+
 logger = logging.getLogger(__name__)
 
 # Called with numpy arrays here and with plain lists in the sequential

Programming/PORR/code/threads_too_simple.py

@@ -7,15 +7,18 @@ import multiprocessing
 import sys
 import threading
 import time
+from typing import TYPE_CHECKING
 
 import numpy as np
-from richardson_problem import Problem, Settings
 from time_measurement import (
     longest_time_accumulator,
     tests_time,
     time_measurement_longest,
 )
 
+if TYPE_CHECKING:
+    from richardson_problem import Problem, Settings
+
 logger = logging.getLogger(__name__)
 
 # Called with numpy arrays here and with plain lists in the sequential

Programming/PORR/code/time_measurement.py

@@ -3,7 +3,10 @@
 
 import sys
 import time
-from collections.abc import Callable
+from typing import TYPE_CHECKING
+
+if TYPE_CHECKING:
+    from collections.abc import Callable
 
 
 class TimeAccumulator:

Programming/PSD/zin3/python/code/visualizer/alarm_visualizer.py

@@ -14,7 +14,7 @@ import sys
 import threading
 import tkinter as tk
 from collections import Counter
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 from pathlib import Path
 from tkinter import ttk
 
@@ -97,7 +97,7 @@ class AlarmVisualizer:
 
                 # Format the timestamp
                 timestamp_dt = datetime.fromtimestamp(
-                    alarm.timestamp / MILLISECONDS, tz=timezone.utc
+                    alarm.timestamp / MILLISECONDS, tz=UTC
                 ).astimezone()
                 formatted_date = timestamp_dt.strftime("%Y-%m-%d %H:%M:%S")
 

pyproject.toml

@@ -7,7 +7,7 @@
 # on its own, or the gates start disagreeing about what is kuhy's code.
 
 [tool.ruff]
-target-version = "py310"
+target-version = "py314"
 line-length = 88
 include = ["*.py", "**/*.py", "*.ipynb", "**/*.ipynb"]