Merge pull request #5195 from yt-project/dependabot/pip/requirements/actions-d4e780ad0b

Author: neutrinoceros

requirements/typecheck.txt

@@ -1,5 +1,5 @@
-mypy==1.15.0
-types-PyYAML==6.0.12.20250402
+mypy==1.16.1
+types-PyYAML==6.0.12.20250516
 types-chardet==5.0.4.6
-types-requests==2.32.0.20250328
-typing-extensions==4.13.2; python_version < '3.12'
+types-requests==2.32.4.20250611
+typing-extensions==4.14.0; python_version < '3.12'

yt/_maintenance/numpy2_compat.py

@@ -6,4 +6,4 @@
     # np.trapz is deprecated in numpy 2.0 in favor of np.trapezoid
     trapezoid = np.trapezoid
 else:
-    trapezoid = np.trapz  # type: ignore[assignment] # noqa: NPY201
+    trapezoid = np.trapz  # type: ignore # noqa: NPY201

yt/frontends/ramses/io.py

@@ -6,6 +6,7 @@
 from unyt import unyt_array
 
 from yt._maintenance.deprecation import issue_deprecation_warning
+from yt._typing import FieldKey
 from yt.frontends.ramses.definitions import VAR_DESC_RE, VERSION_RE
 from yt.utilities.cython_fortran_utils import FortranFile
 from yt.utilities.exceptions import (
@@ -19,6 +20,9 @@
 if TYPE_CHECKING:
     import os
 
+    from yt.frontends.ramses.data_structures import RAMSESDomainSubset
+    from yt.frontends.ramses.particle_handlers import ParticleFileHandler
+
 
 def convert_ramses_ages(ds, conformal_ages):
     issue_deprecation_warning(
@@ -73,7 +77,12 @@ def convert_ramses_conformal_time_to_physical_time(
     )
 
 
-def _ramses_particle_binary_file_handler(particle_handler, subset, fields, count):
+def _ramses_particle_binary_file_handler(
+    particle_handler: "ParticleFileHandler",
+    subset: "RAMSESDomainSubset",
+    fields: list[FieldKey],
+    count: int,
+) -> dict[FieldKey, np.ndarray]:
     """General file handler for binary file, called by _read_particle_subset
 
     Parameters
@@ -116,7 +125,12 @@ def _ramses_particle_binary_file_handler(particle_handler, subset, fields, count
     return tr
 
 
-def _ramses_particle_csv_file_handler(particle_handler, subset, fields, count):
+def _ramses_particle_csv_file_handler(
+    particle_handler: "ParticleFileHandler",
+    subset: "RAMSESDomainSubset",
+    fields: list[FieldKey],
+    count: int,
+) -> dict[FieldKey, np.ndarray]:
     """General file handler for csv file, called by _read_particle_subset
 
     Parameters

yt/frontends/ramses/particle_handlers.py

@@ -25,6 +25,7 @@
 if TYPE_CHECKING:
     from yt.frontends.ramses.data_structures import RAMSESDomainSubset
 
+
 PARTICLE_HANDLERS: set[type["ParticleFileHandler"]] = set()
 
 
@@ -65,20 +66,23 @@ class ParticleFileHandler(abc.ABC, HandlerMixin):
     known_fields: list[FieldKey]
 
     # The function to employ to read the file
+    # NOTE: We omit the `ParticleFileHandler` argument since
+    #       it is accessed as a method (so the first argument is
+    #       assumed to be `self`).
     reader: Callable[
-        ["ParticleFileHandler", "RAMSESDomainSubset", list[tuple[str, str]], int],
-        dict[tuple[str, str], np.ndarray],
+        ["RAMSESDomainSubset", list[FieldKey], int],
+        dict[FieldKey, np.ndarray],
     ]
 
     # Name of the config section (if any)
     config_field: str | None = None
 
     ## These properties are computed dynamically
     # Mapping from field to offset in file
-    _field_offsets: dict[tuple[str, str], int]
+    _field_offsets: dict[FieldKey, int]
 
     # Mapping from field to the type of the data (float, integer, ...)
-    _field_types: dict[tuple[str, str], str]
+    _field_types: dict[FieldKey, str]
 
     # Number of particle in the domain
     _local_particle_count: int
@@ -131,14 +135,14 @@ def read_header(self):
         pass
 
     @property
-    def field_offsets(self) -> dict[tuple[str, str], int]:
+    def field_offsets(self) -> dict[FieldKey, int]:
         if hasattr(self, "_field_offsets"):
             return self._field_offsets
         self.read_header()
         return self._field_offsets
 
     @property
-    def field_types(self) -> dict[tuple[str, str], str]:
+    def field_types(self) -> dict[FieldKey, str]:
         if hasattr(self, "_field_types"):
             return self._field_types
         self.read_header()
@@ -158,9 +162,7 @@ def header(self) -> dict[str, Any]:
         self.read_header()
         return self._header
 
-    def handle_field(
-        self, field: tuple[str, str], data_dict: dict[tuple[str, str], np.ndarray]
-    ):
+    def handle_field(self, field: FieldKey, data_dict: dict[FieldKey, np.ndarray]):
         """
         This function allows custom code to be called to handle special cases,
         such as the particle birth time.
@@ -169,9 +171,9 @@ def handle_field(
 
         Parameters
         ----------
-        field : tuple[str, str]
+        field : FieldKey
             The field name.
-        data_dict : dict[tuple[str, str], np.ndarray]
+        data_dict : dict[FieldKey, np.ndarray]
             A dictionary containing the data.
 
         By default, this function does nothing.
@@ -344,9 +346,7 @@ def birth_file_fname(self):
     def has_birth_file(self):
         return os.path.exists(self.birth_file_fname)
 
-    def handle_field(
-        self, field: tuple[str, str], data_dict: dict[tuple[str, str], np.ndarray]
-    ):
+    def handle_field(self, field: FieldKey, data_dict: dict[FieldKey, np.ndarray]):
         _ptype, fname = field
         if not (fname == "particle_birth_time" and self.ds.cosmological_simulation):
             return
@@ -492,9 +492,7 @@ def read_header(self):
         self._field_offsets = field_offsets
         self._field_types = _pfields
 
-    def handle_field(
-        self, field: tuple[str, str], data_dict: dict[tuple[str, str], np.ndarray]
-    ):
+    def handle_field(self, field: FieldKey, data_dict: dict[FieldKey, np.ndarray]):
         _ptype, fname = field
         if not (fname == "particle_birth_time" and self.ds.cosmological_simulation):
             return

yt/visualization/profile_plotter.py

@@ -319,7 +319,7 @@ def save(
         names = []
         for uid, plot in iters:
             if isinstance(uid, tuple):
-                uid = uid[1]  # type: ignore
+                uid = uid[1]
             uid_name = f"{prefix}_1d-Profile_{xfn}_{uid}{suffix}"
             names.append(uid_name)
             with matplotlib_style_context():