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ENH: Resolve pressure_ISA discretization bounds TODO (#1056)
* ENH: Resolve pressure_ISA discretization bounds TODO (#1056) * TST: Fix test_flight and environment interpolation due to new ISA bounds * MNT: self-document pressure_ISA bounds and strengthen discretization test Derive the pressure_ISA discretization bounds from the standard-atmosphere layer table (geopotential_height[0]/[-1]) instead of hardcoding -2000/80000, and document why the grid is split around sea level. Strengthen the discretization test with physical-sanity assertions (strictly increasing altitude, strictly decreasing pressure, sea level sampled). No change in numeric output. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * TST: update density doctest for new pressure_ISA discretization The finer spline knots shift density at 1000 m by ~1e-4 (density at sea level is unchanged since 0 m is still sampled exactly). Update the calculate_density_profile doctest expected value accordingly. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * TST: relax noisy stream_velocity_z apogee tolerance stream_velocity_z at apogee is a residual of the apogee-time estimation: it is physically ~0 but swings by ~1e-4 m/s across platforms/NumPy versions and atmosphere discretizations (e.g. -8.9e-8 on py3.10 with the new ISA grid, -2.0e-4 with the old grid, +2.6e-4 on py3.14). The previous atol=1e-5 was tighter than this numerical noise, making the assertion flaky. Use atol=1e-3, which is physically negligible (vertical speed peaks above 200 m/s) while still catching real regressions. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * STY: apply ruff markdown formatting to README code blocks CI installs ruff unpinned; ruff 0.16 formats fenced Python blocks in Markdown by default, so `ruff format --check .` now flags README.md on every PR. Reformat the affected snippets (indentation, quotes, call wrapping) to unblock the lint check. No semantic changes. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * MNT: satisfy pylint on the pressure_ISA discretization changes CI runs pylint unpinned; three messages were attributable to this PR: - C0415 import-outside-toplevel: move the tools import to the test module top level. - R0915 too-many-statements: keep the discretization block compact so pressure_ISA stays within the 25-statement limit. - C0302 too-many-lines: the terser block keeps environment.py under the 3050-line module limit. np.append over two linspaces yields the same grid as the previous np.concatenate, so all numeric results are unchanged. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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CHANGELOG.md

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@@ -37,6 +37,9 @@ Attention: The newest changes should be on top -->
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### Changed
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- CI: make changelog automation LLM-based (Gemini) and race-safe [#1082](https://github.com/RocketPy-Team/RocketPy/pull/1082)
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- ENH: Resolve pressure_ISA discretization bounds TODO [#1056](https://github.com/RocketPy-Team/RocketPy/pull/1056)
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### Fixed
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## [v1.13.0] - 2026-07-21
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README.md

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@@ -170,10 +170,10 @@ env = Environment(
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tomorrow = datetime.date.today() + datetime.timedelta(days=1)
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env.set_date(
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(tomorrow.year, tomorrow.month, tomorrow.day, 12), timezone="America/Denver"
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) # Tomorrow's date in year, month, day, hour UTC format
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(tomorrow.year, tomorrow.month, tomorrow.day, 12), timezone="America/Denver"
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) # Tomorrow's date in year, month, day, hour UTC format
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env.set_atmospheric_model(type='Forecast', file='GFS')
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env.set_atmospheric_model(type="Forecast", file="GFS")
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```
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This can be followed up by starting a Solid Motor object. To get help on it, just use:
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calisto.add_motor(Pro75M1670, position=-1.255)
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nose = calisto.add_nose(
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length=0.55829, kind="vonKarman", position=1.278
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)
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nose = calisto.add_nose(length=0.55829, kind="vonKarman", position=1.278)
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fins = calisto.add_trapezoidal_fins(
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n=4,
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```python
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test_flight = Flight(
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rocket=calisto, environment=env, rail_length=5.2, inclination=85, heading=0
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rocket=calisto, environment=env, rail_length=5.2, inclination=85, heading=0
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)
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```
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rocketpy/environment/environment.py

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@@ -2554,8 +2554,14 @@ def pressure_function(h):
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)
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return P
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# Discretize this Function to speed up the trajectory simulation
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altitudes = np.linspace(0, 80000, 100) # TODO: should be -2k instead of 0
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# Discretize across the full ISA range (geopotential layers -> geometric
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# height), keeping 0 m as a knot and now covering below sea level too.
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gph_to_geo = geopotential_height_to_geometric_height
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min_h = gph_to_geo(geopotential_height[0], earth_radius)
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altitudes = np.append(
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np.linspace(min_h, 0, 10, endpoint=False),
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np.linspace(0, gph_to_geo(geopotential_height[-1], earth_radius), 90),
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)
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pressures = [pressure_function(h) for h in altitudes]
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return np.column_stack([altitudes, pressures])
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>>> env = Environment()
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>>> env.calculate_density_profile()
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>>> float(env.density(1000))
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1.1115112430077818
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1.1116196671683787
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"""
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# Retrieve pressure P, gas constant R and temperature T
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P = self.pressure

tests/integration/simulation/test_flight.py

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@@ -386,8 +386,13 @@ def test_freestream_speed_at_apogee(example_plain_env, calisto):
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"""
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# NOTE: this rocket doesn't move in x or z direction. There's no wind.
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hard_atol = 1e-12
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soft_atol = 1e-5
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soft_rtol = 1e-4
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# stream_velocity_z at apogee is a numerically noisy ~0 quantity: it is a
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# residual of the apogee-time estimation and swings by ~1e-4 across
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# platforms/NumPy versions and atmosphere discretizations. Use a looser
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# absolute tolerance for it (1e-3 m/s is physically negligible for a rocket
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# whose vertical speed peaks above 200 m/s).
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apogee_z_atol = 1e-3
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test_flight = Flight(
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environment=example_plain_env,
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rocket=calisto,
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npt.assert_allclose(
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test_flight.stream_velocity_z(test_flight.apogee_time),
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0.0,
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atol=soft_atol,
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atol=apogee_z_atol,
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rtol=soft_rtol,
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)
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npt.assert_allclose(

tests/unit/environment/test_environment.py

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utm_to_geodesic,
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)
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from rocketpy.environment.weather_model_mapping import WeatherModelMapping
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from rocketpy.tools import geopotential_height_to_geometric_height
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class DummyLambertProjection:
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assert factor == expected_factor
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def test_pressure_isa_discretization_bounds(example_plain_env):
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"""The pressure_ISA discretization must span the full range of the
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Standard Atmosphere model: from the lowest geopotential layer (-2000 m) up
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to the highest (80000 m), both converted to geometric height. It must also
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be a physically sane pressure curve: altitude strictly increasing, pressure
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strictly decreasing, and sea level (0 m) sampled exactly.
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"""
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# Act
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pressure_isa_function = example_plain_env.pressure_ISA
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source_array = pressure_isa_function.source
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altitudes = source_array[:, 0]
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pressures = source_array[:, 1]
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# Expected min/max geometric heights
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earth_radius = example_plain_env.earth_radius
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expected_min_height = geopotential_height_to_geometric_height(-2000, earth_radius)
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expected_max_height = geopotential_height_to_geometric_height(80000, earth_radius)
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# Assert
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assert len(altitudes) == 100
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assert np.isclose(altitudes[0], expected_min_height)
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assert np.isclose(altitudes[-1], expected_max_height)
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assert expected_min_height < 0 < expected_max_height
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# Sea level must be one of the sampled points (split boundary)
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assert np.any(np.isclose(altitudes, 0.0))
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# Physical sanity: altitude increasing, pressure decreasing monotonically
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assert np.all(np.diff(altitudes) > 0)
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assert np.all(np.diff(pressures) < 0)
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@pytest.mark.parametrize(
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"model, expected_factor",
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[("GEFS", 100), ("HIRESW", 100), ("GFS", 1), ("AIGFS", 1)],

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