replaced material_dico with Gas object

src/scgenerator/__init__.py

@@ -1,10 +1,11 @@
 # flake8: noqa
 from scgenerator import math, operators
 from scgenerator.evaluator import Evaluator
+from scgenerator.helpers import *
 from scgenerator.legacy import convert_sim_folder
 from scgenerator.math import abs2, argclosest, normalized, span, tspace, wspace
 from scgenerator.parameter import FileConfiguration, Parameters
-from scgenerator.physics import fiber, materials, pulse, simulate, units, plasma
+from scgenerator.physics import fiber, materials, plasma, pulse, simulate, units
 from scgenerator.physics.simulate import RK4IP, parallel_RK4IP, run_simulation
 from scgenerator.physics.units import PlotRange
 from scgenerator.plotting import (
@@ -25,4 +26,3 @@ from scgenerator.variationer import (
     Variationer,
     VariationSpecsError,
 )
-from scgenerator.helpers import *

src/scgenerator/cache.py

@@ -1,6 +1,7 @@
 from collections import namedtuple
 from copy import copy
 from functools import wraps
+
 import numpy as np
 
 CacheInfo = namedtuple("CacheInfo", "hits misses size")

src/scgenerator/const.py

@@ -1,7 +1,7 @@
-__version__ = "0.2.6dev"
-
 from typing import Any
 
+__version__ = "0.2.7dev"
+
 ONE_2 = 1 / 2
 ONE_3 = 1 / 3
 ONE_FOURTH = 1 / 4

src/scgenerator/defaults.py

@@ -1,6 +1,6 @@
-import matplotlib.pyplot as plt
 from pathlib import Path
 
+import matplotlib.pyplot as plt
 
 default_plotting = dict(
     figsize=(10, 7),

src/scgenerator/env.py

@@ -2,7 +2,6 @@ import os
 from pathlib import Path
 from typing import Any, Dict, Literal, Optional, Set
 
-
 ENVIRON_KEY_BASE = "SCGENERATOR_"
 TMP_FOLDER_KEY_BASE = ENVIRON_KEY_BASE + "SC_TMP_"
 PREFIX_KEY_BASE = ENVIRON_KEY_BASE + "PREFIX_"

src/scgenerator/evaluator.py

@@ -5,12 +5,11 @@ from typing import Any, Callable, Optional, Union
 
 import numpy as np
 
-
+from scgenerator import math, operators, utils
-from . import math, operators, utils
+from scgenerator.const import MANDATORY_PARAMETERS
-from .const import MANDATORY_PARAMETERS
+from scgenerator.errors import EvaluatorError, NoDefaultError
-from .errors import EvaluatorError, NoDefaultError
+from scgenerator.physics import fiber, materials, pulse, units
-from .physics import fiber, materials, pulse, units
+from scgenerator.utils import _mock_function, func_rewrite, get_arg_names, get_logger
-from .utils import _mock_function, func_rewrite, get_arg_names, get_logger
 
 
 class Rule:
@@ -336,7 +335,7 @@ default_rules: list[Rule] = [
     # Fiber Dispersion
     Rule("w_for_disp", units.m, ["wl_for_disp"]),
     Rule("hr_w", fiber.delayed_raman_w),
-    Rule("gas_info", materials.GasInfo),
+    Rule("gas_info", materials.Gas),
     Rule("chi_gas", lambda gas_info, wl_for_disp: gas_info.sellmeier.chi(wl_for_disp)),
     Rule("n_gas_2", materials.n_gas_2),
     Rule("n_eff", fiber.n_eff_hasan, conditions=dict(model="hasan")),

src/scgenerator/helpers.py

@@ -5,7 +5,7 @@ series of helper functions
 import numpy as np
 
 from scgenerator.math import all_zeros
-from scgenerator.physics.fiber import beta2, n_eff_marcatili, n_eff_hasan
+from scgenerator.physics.fiber import beta2, n_eff_hasan, n_eff_marcatili
 from scgenerator.physics.materials import n_gas_2
 from scgenerator.physics.units import c
 
@@ -40,7 +40,7 @@ def capillary_dispersion(
         pressure = 101325
     if temperature is None:
         temperature = 293.15
-    n = n_eff_marcatili(wl, n_gas_2(wl, gas_name.lower(), pressure, temperature, False), radius)
+    n = n_eff_marcatili(wl, n_gas_2(wl, gas_name.lower(), pressure, temperature), radius)
     w = 2 * np.pi * c / wl
     return beta2(w, n)[2:-2]
 
@@ -117,7 +117,7 @@ def revolver_dispersion(
         temperature = 293.15
     n = n_eff_hasan(
         wl,
-        n_gas_2(wl, gas_name.lower(), pressure, temperature, False),
+        n_gas_2(wl, gas_name.lower(), pressure, temperature),
         core_radius,
         capillary_num,
         capillary_nested,

src/scgenerator/legacy.py

@@ -8,11 +8,11 @@ import numpy as np
 import tomli
 import tomli_w
 
-from .const import SPEC1_FN, SPEC1_FN_N, SPECN_FN1
+from scgenerator.const import SPEC1_FN, SPEC1_FN_N, SPECN_FN1
-from .parameter import FileConfiguration, Parameters
+from scgenerator.parameter import FileConfiguration, Parameters
-from .pbar import PBars
+from scgenerator.pbar import PBars
-from .utils import save_parameters
+from scgenerator.utils import save_parameters
-from .variationer import VariationDescriptor
+from scgenerator.variationer import VariationDescriptor
 
 
 def load_config(path: os.PathLike) -> dict[str, Any]:

src/scgenerator/logger.py

@@ -1,6 +1,6 @@
 import logging
 
-from .env import log_file_level, log_print_level
+from scgenerator.env import log_file_level, log_print_level
 
 
 lvl_map: dict[str, int] = dict(

src/scgenerator/math.py

@@ -7,7 +7,7 @@ from scipy.interpolate import interp1d, lagrange
 from scipy.special import jn_zeros
 from functools import cache
 
-from .cache import np_cache
+from scgenerator.cache import np_cache
 
 pi = np.pi
 c = 299792458.0
@@ -83,7 +83,7 @@ def _power_fact_array(x, n):
 
 
 def abs2(z: np.ndarray) -> np.ndarray:
-    return z.real ** 2 + z.imag ** 2
+    return z.real**2 + z.imag**2
 
 
 def normalized(z: np.ndarray) -> np.ndarray:

src/scgenerator/operators.py

@@ -6,15 +6,14 @@ from __future__ import annotations
 
 from abc import ABC, abstractmethod
 from dataclasses import dataclass
-from typing import Any, Callable
+from typing import Callable
 
 import numpy as np
 from scipy.interpolate import interp1d
 
-from . import math
+from scgenerator import math
-from .logger import get_logger
+from scgenerator.logger import get_logger
-from .physics import fiber, materials, pulse, units, plasma
+from scgenerator.physics import fiber, materials, plasma, pulse, units
-from .utils import load_material_dico
 
 
 class CurrentState:
@@ -212,8 +211,7 @@ class NoOpFreq(Operator):
 
 
 class AbstractGas(Operator):
-    gas_name: str
+    gas: materials.Gas
-    material_dico: dict[str, Any]
 
     def __call__(self, state: CurrentState) -> np.ndarray:
         return self.square_index(state)
@@ -274,18 +272,10 @@ class ConstantGas(AbstractGas):
         ideal_gas: bool,
         wl_for_disp: np.ndarray,
     ):
-        self.material_dico = load_material_dico(gas_name)
+        self.gas = materials.Gas(gas_name)
-        self.gas_name = gas_name
         self.pressure_const = pressure
-        if ideal_gas:
+        self.number_density_const = self.gas.number_density(temperature, pressure, ideal_gas)
-            self.number_density_const = materials.number_density_van_der_waals(
+        self.n_gas_2_const = self.gas.sellmeier.n_gas_2(wl_for_disp, temperature, pressure)
-                pressure=pressure, temperature=temperature, material_dico=self.material_dico
-            )
-        else:
-            self.number_density_const = self.pressure_const / (units.kB * temperature)
-        self.n_gas_2_const = materials.n_gas_2(
-            wl_for_disp, gas_name, self.pressure_const, temperature, ideal_gas
-        )
 
     def pressure(self, state: CurrentState = None) -> float:
         return self.pressure_const
@@ -311,10 +301,9 @@ class PressureGradientGas(AbstractGas):
         ideal_gas: bool,
         wl_for_disp: np.ndarray,
     ):
-        self.gas_name = gas_name
         self.p_in = pressure_in
         self.p_out = pressure_out
-        self.material_dico = load_material_dico(gas_name)
+        self.gas = materials.Gas(gas_name)
         self.temperature = temperature
         self.ideal_gas = ideal_gas
         self.wl_for_disp = wl_for_disp
@@ -323,23 +312,10 @@ class PressureGradientGas(AbstractGas):
         return materials.pressure_from_gradient(state.z_ratio, self.p_in, self.p_out)
 
     def number_density(self, state: CurrentState) -> float:
-        if self.ideal_gas:
+        return self.gas.number_density(self.temperature, self.pressure(state), self.ideal_gas)
-            return self.pressure(state) / (units.kB * self.temperature)
-        else:
-            return materials.number_density_van_der_waals(
-                pressure=self.pressure(state),
-                temperature=self.temperature,
-                material_dico=self.material_dico,
-            )
 
     def square_index(self, state: CurrentState) -> np.ndarray:
-        return materials.fast_n_gas_2(
+        return self.gas.sellmeier.n_gas_2(self.wl_for_disp, self.temperature, self.pressure(state))
-            self.wl_for_disp,
-            self.pressure(state),
-            self.temperature,
-            self.ideal_gas,
-            self.material_dico,
-        )
 
 
 ##################################################
@@ -829,9 +805,7 @@ class VariableScalarGamma(AbstractGamma):
         self.arr = np.ones(t_num)
 
     def __call__(self, state: CurrentState) -> np.ndarray:
-        n2 = materials.non_linear_refractive_index(
+        n2 = self.gas_op.gas.n2(self.temperature, self.gas_op.pressure(state))
-            self.gas_op.material_dico, self.gas_op.pressure(state), self.temperature
-        )
         return self.arr * fiber.gamma_parameter(n2, self.w0, self.A_eff)
 
 
@@ -847,7 +821,7 @@ class Plasma(Operator):
 
     def __init__(self, dt: float, w: np.ndarray, gas_op: AbstractGas):
         self.gas_op = gas_op
-        self.mat_plasma = plasma.Plasma(dt, self.gas_op.material_dico["ionization_energy"])
+        self.mat_plasma = plasma.Plasma(dt, self.gas_op.gas["ionization_energy"])
         self.factor_out = -w / (2.0 * units.c**2 * units.epsilon0)
 
     def __call__(self, state: CurrentState) -> np.ndarray:

src/scgenerator/parameter.py

@@ -9,19 +9,19 @@ from dataclasses import dataclass, field, fields
 from functools import lru_cache, wraps
 from math import isnan
 from pathlib import Path
-from typing import Any, Callable, ClassVar, Iterable, Iterator, Set, Type, TypeVar, Union
+from typing import Any, Callable, ClassVar, Iterable, Iterator, Set, Type, TypeVar
 
 import numpy as np
 
-from . import env, legacy, utils
+from scgenerator import env, legacy, utils
-from .const import MANDATORY_PARAMETERS, PARAM_FN, VALID_VARIABLE, __version__
+from scgenerator.const import MANDATORY_PARAMETERS, PARAM_FN, VALID_VARIABLE, __version__
-from .errors import EvaluatorError
+from scgenerator.errors import EvaluatorError
-from .evaluator import Evaluator
+from scgenerator.evaluator import Evaluator
-from .logger import get_logger
+from scgenerator.logger import get_logger
-from .operators import AbstractConservedQuantity, LinearOperator, NonLinearOperator
+from scgenerator.operators import AbstractConservedQuantity, LinearOperator, NonLinearOperator
-from .solver import Integrator
+from scgenerator.solver import Integrator
-from .utils import DebugDict, fiber_folder, update_path_name
+from scgenerator.utils import DebugDict, fiber_folder, update_path_name
-from .variationer import VariationDescriptor, Variationer
+from scgenerator.variationer import VariationDescriptor, Variationer
 
 T = TypeVar("T")
 

src/scgenerator/pbar.py

@@ -10,7 +10,7 @@ from typing import Iterable, Union
 
 from tqdm import tqdm
 
-from .env import pbar_policy
+from scgenerator.env import pbar_policy
 
 T_ = typing.TypeVar("T_")
 

src/scgenerator/physics/__init__.py

@@ -8,10 +8,9 @@ from typing import TypeVar
 import numpy as np
 from scipy.optimize import minimize_scalar
 
-from .. import math
+from scgenerator import math
-from . import fiber, materials, units, pulse
+from scgenerator.cache import np_cache
-from ..cache import np_cache
+from scgenerator.physics import fiber, materials, pulse, units
-from ..utils import load_material_dico
 
 T = TypeVar("T")
 
@@ -28,8 +27,6 @@ def material_dispersion(
     material: str,
     pressure=None,
     temperature=None,
-    ideal=True,
-    safe=True,
 ):
     """returns the dispersion profile (beta_2) of a bulk material.
 
@@ -54,23 +51,8 @@ def material_dispersion(
 
     w = units.m(wavelengths)
 
-    if safe:
+    sellmeier = materials.Sellmeier.load(material)
-        disp = np.zeros(len(w))
+    n_gas_2 = sellmeier.n_gas_2(wavelengths, temperature, pressure)
-        ind = w > 0
-        disp[ind] = material_dispersion(
-            units.m.inv(w[ind]), material, pressure, temperature, ideal, False
-        )
-        return disp
-    else:
-        material_dico = load_material_dico(material)
-        if ideal:
-            n_gas_2 = materials.sellmeier(wavelengths, material_dico, pressure, temperature) + 1
-        else:
-            N_1 = materials.number_density_van_der_waals(
-                pressure=pressure, temperature=temperature, material_dico=material_dico
-            )
-            N_0 = materials.number_density_van_der_waals(material_dico=material_dico)
-            n_gas_2 = materials.sellmeier(wavelengths, material_dico) * N_1 / N_0 + 1
     order = np.argsort(w)
     unorder = np.argsort(order)
     return fiber.beta2(w[order], np.sqrt(n_gas_2[order]))[unorder]
@@ -105,7 +87,7 @@ def find_optimal_depth(
     disp[ind] = material_dispersion(units.m.inv(w[ind]), material)
 
     def propagate(z):
-        return spectrum * np.exp(-0.5j * disp * w_c ** 2 * z)
+        return spectrum * np.exp(-0.5j * disp * w_c**2 * z)
 
     def integrate(z):
         return math.abs2(np.fft.ifft(propagate(z)))
@@ -118,7 +100,7 @@ def find_optimal_depth(
 
 
 def propagate_field(
-    t: np.ndarray, field: np.ndarray, z: float, material: str, center_wl_nm: float = 1540.0
+    t: np.ndarray, field: np.ndarray, z: float, material: str, center_wl_nm: float
 ) -> np.ndarray:
     """propagates a field through bulk material
 
@@ -132,8 +114,8 @@ def propagate_field(
         distance to propagate in m
     material : str
         material name
-    center_wl_nm : float, optional
+    center_wl_nm : float
-        center wavelength of the grid in nm, by default 1540
+        center wavelength of the grid in nm
 
     Returns
     -------
@@ -143,4 +125,4 @@ def propagate_field(
     w_c = math.wspace(t)
     l = units.m(w_c + units.nm(center_wl_nm))
     disp = material_dispersion(l, material)
-    return np.fft.ifft(np.fft.fft(field) * np.exp(0.5j * disp * w_c ** 2 * z))
+    return np.fft.ifft(np.fft.fft(field) * np.exp(0.5j * disp * w_c**2 * z))

src/scgenerator/physics/fiber.py

@@ -1,16 +1,17 @@
-from typing import Any, Iterable, Literal, TypeVar
+from typing import Iterable, TypeVar
 
 import numpy as np
 from numpy import e
 from numpy.fft import fft
 from numpy.polynomial.chebyshev import Chebyshev, cheb2poly
+from scipy.interpolate import interp1d
+
 from scgenerator import utils
 from scgenerator.cache import np_cache
 from scgenerator.math import argclosest, u_nm
 from scgenerator.physics import materials as mat
 from scgenerator.physics import units
 from scgenerator.physics.units import c, pi
-from scipy.interpolate import interp1d
 
 pipi = 2 * pi
 T = TypeVar("T")
@@ -255,7 +256,7 @@ def resonance_thickness(
     float
         thickness in m
     """
-    n_si_2 = mat.n_gas_2(wl_for_disp, "silica", None, None, True)
+    n_si_2 = mat.n_gas_2(wl_for_disp, "silica", None, None)
     return (
         wl_for_disp
         / (4 * np.sqrt(n_si_2))
@@ -268,7 +269,7 @@ def resonance_strength(
     wl_for_disp: np.ndarray, core_radius: float, capillary_thickness: float, order: int
 ) -> float:
     a = 1.83 + (2.3 * capillary_thickness / core_radius)
-    n_si = np.sqrt(mat.n_gas_2(wl_for_disp, "silica", None, None, True))
+    n_si = np.sqrt(mat.n_gas_2(wl_for_disp, "silica", None, None))
     return (
         capillary_thickness
         / (n_si * core_radius) ** (2.303 * a / n_si)
@@ -345,7 +346,7 @@ def n_eff_hasan(
 
     n_eff_2 = n_gas_2 - (u * wl_for_disp / (pipi * R_eff)) ** 2
 
-    chi_sil = mat.sellmeier(wl_for_disp, utils.load_material_dico("silica"))
+    chi_sil = mat.Sellmeier.load("silica").chi(wl_for_disp)
 
     with np.errstate(divide="ignore", invalid="ignore"):
         for m, strength in enumerate(capillary_resonance_strengths):
@@ -466,143 +467,6 @@ def A_eff_from_V(core_radius: float, V_eff: T) -> T:
     return out
 
 
-def HCPCF_find_with_given_ZDW(
-    variable: Literal["pressure", "temperature"],
-    target: float,
-    search_range: tuple[float, float],
-    material_dico: dict[str, Any],
-    model="marcatili",
-    model_params={},
-    pressure=None,
-    temperature=None,
-    ideal=False,
-):
-    """finds the parameters (pressure or temperature) to yield the target ZDW. assign the string value 'vary' to the parameter
-
-    Parameters
-    ----------
-    variable : str {"pressure", "temperature"}
-        which parameter to vary
-    target : float
-        the ZDW target, in m
-    search_range : array, shape (2,)
-        (min, max) of the search range
-    other parameters : see HCPCF_dispersion. Pressure or temperature is used as initial value if it is variable
-
-    Returns
-    -------
-    the parameter that satisfies the ZDW
-    """
-    from scipy import optimize
-
-    l_search = [120e-9, 6000e-9]
-    #
-    fixed = [material_dico, model, model_params, ideal]
-
-    if variable == "pressure":
-        fixed.append(temperature)
-        x0 = 1e5 if pressure is None else pressure
-
-        def zdw(x, *args):
-            current_ZDW = HCPF_ZDW(
-                l_search,
-                args[0],
-                model=args[1],
-                model_params=args[2],
-                pressure=x,
-                temperature=args[4],
-                ideal=args[3],
-            )
-            out = current_ZDW - target
-            return out
-
-    elif variable == "temperature":
-        fixed.append(pressure)
-        x0 = 273.15 if temperature is None else temperature
-
-        def zdw(x, *args):
-            current_ZDW = HCPF_ZDW(
-                l_search,
-                args[0],
-                model=args[1],
-                model_params=args[2],
-                pressure=args[4],
-                temperature=x,
-                ideal=args[3],
-            )
-            out = current_ZDW - target
-            return out
-
-    else:
-        raise AttributeError(f"'variable' arg must be 'pressure' or 'temperature', not {variable}")
-
-    optimized = optimize.root_scalar(
-        zdw, x0=x0, args=tuple(fixed), method="brentq", bracket=search_range
-    )
-
-    return optimized.root
-
-
-def HCPF_ZDW(
-    search_range,
-    material_dico,
-    model="marcatili",
-    model_params={},
-    pressure=None,
-    temperature=None,
-    ideal=False,
-    max_iter=10,
-    threshold=1e-36,
-):
-    """finds one Zero Dispersion Wavelength (ZDW) of a given HC-PCF fiber
-
-    Parameters
-    ----------
-    see HCPCF_dispersion for description of most arguments
-    max_iter : float
-        How many iterations are allowed at most to reach the threashold
-    threshold : float
-        upper bound of what counts as beta2 == 0 (in si units)
-
-    Returns
-    -------
-    float:
-        the ZDW in m
-    """
-    prev_find = np.inf
-    l = np.linspace(*search_range, 50)
-
-    core_radius = model_params["core_radius"]
-
-    zdw_ind = 0
-    for i in range(max_iter):
-        beta2 = HCPCF_dispersion(
-            l,
-            material_dico,
-            model=model,
-            model_params=model_params,
-            pressure=pressure,
-            temperature=temperature,
-            ideal=ideal,
-        )
-        zdw_ind = argclosest(beta2, 0)
-        if beta2[zdw_ind] < threshold:
-            break
-        elif beta2[zdw_ind] < prev_find:
-            l = np.linspace(
-                l[zdw_ind] - (100 / (i + 1)) * 1e-9, l[zdw_ind] + (100 / (i + 1)) * 1e-9, 50
-            )
-            prev_find = beta2[zdw_ind]
-        else:
-            raise RuntimeError(
-                f"Could not find a ZDW with parameters {1e6*core_radius} um, {1e-5 * pressure} bar, {temperature} K."
-            )
-    else:
-        print(f"Could not get to threshold in {max_iter} iterations")
-
-    return l[zdw_ind]
-
-
 def beta(w_for_disp: np.ndarray, n_eff: np.ndarray) -> np.ndarray:
     return n_eff * w_for_disp / c
 
@@ -634,12 +498,11 @@ def frame_velocity(beta1_arr: np.ndarray, w0_ind: int) -> float:
 
 def HCPCF_dispersion(
     wl_for_disp,
-    material_dico=None,
+    gas_name: str,
     model="marcatili",
-    model_params={},
     pressure=None,
     temperature=None,
-    ideal=False,
+    **model_params,
 ):
     """returns the dispersion profile (beta_2) of a hollow-core photonic crystal fiber.
 
@@ -647,8 +510,8 @@ def HCPCF_dispersion(
     ----------
     wl_for_disp : ndarray, shape (n, )
         wavelengths over which to calculate the dispersion
-    material_dico : dict
+    gas_name : str
-        material dictionary respecting standard format explained in FIXME
+        name of the filling gas in lower case
     model : string {"marcatili", "marcatili_adjusted", "hasan"}
         which model of effective refractive index to use
     model_params : tuple
@@ -666,17 +529,7 @@ def HCPCF_dispersion(
     """
 
     w = units.m(wl_for_disp)
-    if material_dico is None:
+    n_gas_2 = mat.Sellmeier.load(gas_name).n_gas_2(wl_for_disp, temperature, pressure)
-        n_gas_2 = np.ones_like(wl_for_disp)
-    else:
-        if ideal:
-            n_gas_2 = mat.sellmeier(wl_for_disp, material_dico, pressure, temperature) + 1
-        else:
-            N_1 = mat.number_density_van_der_waals(
-                pressure=pressure, temperature=temperature, material_dico=material_dico
-            )
-            N_0 = mat.number_density_van_der_waals(material_dico=material_dico)
-            n_gas_2 = mat.sellmeier(wl_for_disp, material_dico) * N_1 / N_0 + 1
 
     n_eff_func = dict(
         marcatili=n_eff_marcatili, marcatili_adjusted=n_eff_marcatili_adjusted, hasan=n_eff_hasan
@@ -686,81 +539,6 @@ def HCPCF_dispersion(
     return beta2(w, n_eff)
 
 
-def dynamic_HCPCF_dispersion(
-    wl_for_disp: np.ndarray,
-    pressure_values: list[float],
-    core_radius: float,
-    fiber_model: str,
-    model_params: dict[str, Any],
-    temperature: float,
-    ideal_gas: bool,
-    w0: float,
-    interp_range: tuple[float, float],
-    material_dico: dict[str, Any],
-    deg: int,
-):
-    """returns functions for beta2 coefficients and gamma instead of static values
-
-    Parameters
-    ----------
-    wl_for_disp : wavelength array
-    params : dict
-        flattened parameter dictionary
-    material_dico : dict
-        material dictionary (see README for details)
-
-    Returns
-    -------
-    beta2_coef : func(r), r is the relative position in the fiber
-        a function that returns an array of coefficients as function of the relative position in the fiber
-        to be used in disp_op
-    gamma : func(r), r is the relative position in the fiber
-        a function that returns a float corresponding to the nonlinear parameter at the relative position
-        in the fiber
-    """
-
-    A_eff = 1.5 * core_radius**2
-
-    # defining function instead of storing every possilble value
-    def pressure(r):
-        return mat.pressure_from_gradient(r, *pressure_values)
-
-    def beta2(r):
-        return HCPCF_dispersion(
-            wl_for_disp,
-            core_radius,
-            material_dico,
-            fiber_model,
-            model_params,
-            pressure(r),
-            temperature,
-            ideal_gas,
-        )
-
-    def n2(r):
-        return mat.non_linear_refractive_index(material_dico, pressure(r), temperature)
-
-    ratio_range = np.linspace(0, 1, 256)
-
-    gamma_grid = np.array([gamma_parameter(n2(r), w0, A_eff) for r in ratio_range])
-    gamma_interp = interp1d(ratio_range, gamma_grid)
-
-    beta2_grid = np.array(
-        [dispersion_coefficients(wl_for_disp, beta2(r), w0, interp_range, deg) for r in ratio_range]
-    )
-    beta2_interp = [
-        interp1d(ratio_range, beta2_grid[:, i], assume_sorted=True) for i in range(deg + 1)
-    ]
-
-    def beta2_func(r):
-        return [beta2_interp[i](r)[()] for i in range(deg + 1)]
-
-    def gamma_func(r):
-        return gamma_interp(r)[()]
-
-    return beta2_func, gamma_func
-
-
 def gamma_parameter(n2: float, w0: float, A_eff: T) -> T:
     if isinstance(A_eff, np.ndarray):
         A_eff_term = np.sqrt(A_eff * A_eff[0])
@@ -815,8 +593,7 @@ def n_eff_pcf(wl_for_disp: np.ndarray, pitch: float, pitch_ratio: float) -> np.n
     n_eff2 = (wl_for_disp * W / (pi2a)) ** 2 + n_FSM2
     n_eff = np.sqrt(n_eff2)
 
-    material_dico = utils.load_material_dico("silica")
+    chi_mat = mat.Sellmeier.load("silica").chi(wl_for_disp)
-    chi_mat = mat.sellmeier(wl_for_disp, material_dico)
     return n_eff + np.sqrt(chi_mat + 1)
 
 
@@ -1121,7 +898,7 @@ def capillary_loss(wl: np.ndarray, he_mode: tuple[int, int], core_radius: float)
     np.ndarray
         loss in 1/m
     """
-    chi_silica = abs(mat.sellmeier(wl, utils.load_material_dico("silica")))
+    chi_silica = abs(mat.Sellmeier.load("silica").chi(wl))
     nu_n = 0.5 * (chi_silica + 2) / np.sqrt(chi_silica)
     return nu_n * (u_nm(*he_mode) * wl / pipi) ** 2 * core_radius**-3
 

src/scgenerator/physics/materials.py

@@ -1,10 +1,11 @@
 from __future__ import annotations
 
-import functools
 from dataclasses import dataclass, field
-from typing import Any, TypeVar
+from functools import cache
+from typing import TypeVar
 
 import numpy as np
+
 from scgenerator import utils
 from scgenerator.cache import np_cache
 from scgenerator.logger import get_logger
@@ -24,6 +25,7 @@ class Sellmeier:
     constant: float = 0
 
     @classmethod
+    @cache
     def load(cls, name: str) -> Sellmeier:
         mat_dico = utils.load_material_dico(name)
         s = mat_dico.get("sellmeier", {})
@@ -38,7 +40,7 @@ class Sellmeier:
             }
         )
 
-    def chi(self, wl: T) -> T:
+    def chi(self, wl: T, temperature: float | None = None, pressure: float | None = None) -> T:
         """n^2 - 1"""
         if isinstance(wl, np.ndarray):
             chi = np.zeros_like(wl)  # = n^2 - 1
@@ -59,32 +61,32 @@ class Sellmeier:
         else:
             raise ValueError(f"kind {self.kind} is not recognized.")
 
-        # if temperature is not None:
+        if temperature is not None:
-        #     chi *= self.temperature_ref / temperature
+            chi *= self.temperature_ref / temperature
 
-        # if pressure is not None:
+        if pressure is not None:
-        #     chi *= pressure / self.pressure_ref
+            chi *= pressure / self.pressure_ref
         return chi
 
-    def n_gas_2(self, wl: T) -> T:
+    def n_gas_2(self, wl: T, temperature: float | None = None, pressure: float | None = None) -> T:
-        return self.chi(wl) + 1
+        return self.chi(wl, temperature, pressure) + 1
 
-    def n(self, wl: T) -> T:
+    def n(self, wl: T, temperature: float | None = None, pressure: float | None = None) -> T:
-        return np.sqrt(self.n_gas_2(wl))
+        return np.sqrt(self.n_gas_2(wl, temperature, pressure))
 
 
-class GasInfo:
+class Gas:
     name: str
     sellmeier: Sellmeier
-    n2: float
     atomic_number: int
     atomic_mass: float
-    ionization_energy: float
+    _n2: float
+    ionization_energy: float | None
 
     def __init__(self, gas_name: str):
         self.name = gas_name
         self.mat_dico = utils.load_material_dico(gas_name)
-        self.n2 = self.mat_dico["kerr"]["n2"]
+        self._n2 = self.mat_dico["kerr"]["n2"]
         self.atomic_mass = self.mat_dico["atomic_mass"]
         self.atomic_number = self.mat_dico["atomic_number"]
         self.ionization_energy = self.mat_dico.get("ionization_energy")
@@ -130,11 +132,9 @@ class GasInfo:
                 / temperature
             )
         else:
-            return number_density_van_der_waals(
+            return self.number_density_van_der_waals(
-                self.get("a"), self.get("b"), pressure, temperature
+                pressure, temperature
-            ) / number_density_van_der_waals(
+            ) / self.number_density_van_der_waals(
-                self.get("a"),
-                self.get("b"),
                 self.sellmeier.pressure_ref,
                 self.sellmeier.temperature_ref,
             )
@@ -161,80 +161,22 @@ class GasInfo:
         if ideal_gas:
             return pressure / temperature / kB
         else:
-            return number_density_van_der_waals(self.get("a"), self.get("b"), pressure, temperature)
+            return self.number_density_van_der_waals(pressure, temperature)
 
-    @property
+    def number_density_van_der_waals(self, pressure: float = None, temperature: float = None):
-    def ionic_charge(self):
-        return self.atomic_number - 1
-
-    def get(self, key, default=None):
-        return self.mat_dico.get(key, default)
-
-    def __getitem__(self, key):
-        return self.mat_dico[key]
-
-    def __repr__(self) -> str:
-        return f"{self.__class__.__name__}({self.name!r})"
-
-
-@np_cache
-def n_gas_2(
-    wl_for_disp: np.ndarray, gas_name: str, pressure: float, temperature: float, ideal_gas: bool
-):
-    """Returns the sqare of the index of refraction of the specified gas"""
-    material_dico = utils.load_material_dico(gas_name)
-
-    n_gas_2 = fast_n_gas_2(wl_for_disp, pressure, temperature, ideal_gas, material_dico)
-    return n_gas_2
-
-
-def fast_n_gas_2(
-    wl_for_disp: np.ndarray,
-    pressure: float,
-    temperature: float,
-    ideal_gas: bool,
-    material_dico: dict[str, Any],
-):
-    if ideal_gas:
-        n_gas_2 = sellmeier(wl_for_disp, material_dico, pressure, temperature) + 1
-    else:
-        N_1 = number_density_van_der_waals(
-            pressure=pressure, temperature=temperature, material_dico=material_dico
-        )
-        N_0 = number_density_van_der_waals(material_dico=material_dico)
-        n_gas_2 = sellmeier(wl_for_disp, material_dico) * N_1 / N_0 + 1
-    return n_gas_2
-
-
-def pressure_from_gradient(ratio, p0, p1):
-    """returns the pressure as function of distance with eq. 20 in Markos et al. (2017)
-    Parameters
-    ----------
-        ratio : relative position in the fiber (0 = start, 1 = end)
-        p0 : pressure at the start
-        p1 : pressure at the end
-    Returns
-    ----------
-        the pressure (float)
-    """
-    return np.sqrt(p0**2 - ratio * (p0**2 - p1**2))
-
-
-def number_density_van_der_waals(
-    a=None, b=None, pressure=None, temperature=None, material_dico=None
-):
         """returns the number density of a gas
+
         Parameters
         ----------
-        P : pressure
+        pressure : float, optional
-        T : temperature
+            pressure in Pa, by default the reference pressure
-            for pressure and temperature, the default
+        temperature : float, optional
-        a : Van der Waals a coefficient
+            temperature in K, by default the reference temperature
-        b : Van der Waals b coefficient
+
-        material_dico : optional. If passed, will compute the number density at given reference values found in material_dico
         Returns
         ----------
         the numbers density (/m^3)
+
         Raises
         ----------
         ValueError : Since the Van der Waals equation is a cubic one, there could be more than one real, positive solution
@@ -244,19 +186,12 @@ def number_density_van_der_waals(
 
         if pressure == 0:
             return 0
-    if material_dico is not None:
+        a = self.mat_dico.get("a", 0)
-        a = material_dico.get("a", 0) if a is None else a
+        b = self.mat_dico.get("b", 0)
-        b = material_dico.get("b", 0) if b is None else b
+        pressure = self.mat_dico["sellmeier"].get("P0", 101325) if pressure is None else pressure
-        pressure = material_dico["sellmeier"].get("P0", 101325) if pressure is None else pressure
         temperature = (
-            material_dico["sellmeier"].get("T0", 273.15) if temperature is None else temperature
+            self.mat_dico["sellmeier"].get("T0", 273.15) if temperature is None else temperature
         )
-    else:
-        a = 0 if a is None else a
-        b = 0 if b is None else b
-        pressure = 101325 if pressure is None else pressure
-        temperature = 273.15 if temperature is None else temperature
-
         ap = a / NA**2
         bp = b / NA
 
@@ -277,133 +212,71 @@ def number_density_van_der_waals(
             logger.warning(s)
         return np.min(roots)
 
+    def n2(self, temperature: float | None = None, pressure: float | None = None) -> float:
+        """nonlinear refractive index"""
 
-@functools.singledispatch
+        # if pressure and/or temperature are specified, adjustment is made according to number density ratio
-def sellmeier(
+        if pressure is not None or temperature is not None:
-    wl_for_disp: np.ndarray,
+            N0 = self.number_density_van_der_waals()
-    material_dico: dict[str, Any],
+            N = self.number_density_van_der_waals(pressure, temperature)
-    pressure: float = None,
+            ratio = N / N0
-    temperature: float = None,
+        else:
-) -> np.ndarray:
+            ratio = 1
-    """reads a file containing the Sellmeier values corresponding to the choses material and
+        return ratio * self._n2
-    returns the real susceptibility pressure and temperature adjustments are made according to
-    ideal gas law.
 
+    @property
+    def ionic_charge(self):
+        return self.atomic_number - 1
+
+    def get(self, key, default=None):
+        return self.mat_dico.get(key, default)
+
+    def __getitem__(self, key):
+        return self.mat_dico[key]
+
+    def __repr__(self) -> str:
+        return f"{self.__class__.__name__}({self.name!r})"
+
+
+@np_cache
+def n_gas_2(wl_for_disp: np.ndarray, gas_name: str, pressure: float, temperature: float):
+    """Returns the sqare of the index of refraction of the specified gas"""
+    return Sellmeier.load(gas_name).n_gas_2(wl_for_disp, temperature, pressure)
+
+
+def pressure_from_gradient(ratio, p0, p1):
+    """returns the pressure as function of distance with eq. 20 in Markos et al. (2017)
     Parameters
     ----------
-    wl_for_disp : array, shape (n,)
+        ratio : relative position in the fiber (0 = start, 1 = end)
-        wavelength vector over which to compute the refractive index
+        p0 : pressure at the start
-    material_dico : dict[str, Any]
+        p1 : pressure at the end
-        material dictionary as explained in scgenerator.utils.load_material_dico
-    pressure : float, optional
-        pressure in Pa, by default None
-    temperature : float, optional
-        temperature of the gas in Kelvin
-
     Returns
-    -------
+    ----------
-    array, shape (n,)
+        the pressure (float)
-        chi = n^2 - 1
     """
-    logger = get_logger(__name__)
+    return np.sqrt(p0**2 - ratio * (p0**2 - p1**2))
-
-    WL_THRESHOLD = 8.285e-6
-    ind = wl_for_disp < WL_THRESHOLD
-    temp_l = wl_for_disp[ind]
-
-    B = material_dico["sellmeier"]["B"]
-    C = material_dico["sellmeier"]["C"]
-    const = material_dico["sellmeier"].get("const", 0)
-    P0 = material_dico["sellmeier"].get("P0", 1e5)
-    t0 = material_dico["sellmeier"].get("t0", 273.15)
-    kind = material_dico["sellmeier"].get("kind", 1)
-
-    chi = np.zeros_like(wl_for_disp)  # = n^2 - 1
-    if kind == 1:
-        logger.debug("materials : using Sellmeier 1st kind equation")
-        for b, c_ in zip(B, C):
-            chi[ind] += temp_l**2 * b / (temp_l**2 - c_)
-    elif kind == 2:  # gives n-1
-        logger.debug("materials : using Sellmeier 2nd kind equation")
-        for b, c_ in zip(B, C):
-            chi[ind] += b / (c_ - 1 / temp_l**2)
-        chi += const
-        chi = (chi + 1) ** 2 - 1
-    elif kind == 3:  # Schott formula
-        logger.debug("materials : using Schott equation")
-        for i, b in reversed(list(enumerate(B))):
-            chi[ind] += b * temp_l ** (-2 * (i - 1))
-        chi[ind] = chi[ind] - 1
-    else:
-        raise ValueError(f"kind {kind} is not recognized.")
-
-    if temperature is not None:
-        chi *= t0 / temperature
-
-    if pressure is not None:
-        chi *= pressure / P0
-
-    logger.debug(f"computed chi between {np.min(chi):.2e} and {np.max(chi):.2e}")
-    return chi
 
 
-@sellmeier.register
+def delta_gas(w: np.ndarray, gas: Gas) -> np.ndarray:
-def sellmeier_scalar(
-    wavelength: float,
-    material_dico: dict[str, Any],
-    pressure: float = None,
-    temperature: float = None,
-) -> float:
-    """n^2 - 1"""
-    return float(sellmeier(np.array([wavelength]), material_dico, pressure, temperature)[0])
-
-
-def delta_gas(w, material_dico):
     """returns the value delta_t (eq. 24 in Markos(2017))
     Parameters
     ----------
-        w : angular frequency array
+        w : np.ndarray
-        material_dico : material dictionary as explained in scgenerator.utils.load_material_dico
+            angular frequency array
+        gas : Gas
     Returns
     ----------
         delta_t
         since 2 gradients are computed, it is recommended to exclude the 2 extremum values
     """
-    chi = sellmeier(units.m.inv(w), material_dico)
+    chi = gas.sellmeier.chi(units.m.inv(w))
-    N0 = number_density_van_der_waals(material_dico=material_dico)
+    N0 = gas.number_density_van_der_waals()
 
     dchi_dw = np.gradient(chi, w)
     return 1 / (N0 * c) * (dchi_dw + w / 2 * np.gradient(dchi_dw, w))
 
 
-def non_linear_refractive_index(material_dico, pressure=None, temperature=None):
-    """returns the non linear refractive index n2 adjusted for pressure and temperature
-    NOTE : so far, there is no adjustment made for wavelength
-    Parameters
-    ----------
-        lambda_ : wavelength array
-        material_dico :
-        pressure : pressure in Pa
-        temperature : temperature in Kelvin
-    Returns
-    ----------
-        n2
-    """
-
-    n2_ref = material_dico["kerr"]["n2"]
-
-    # if pressure and/or temperature are specified, adjustment is made according to number density ratio
-    if pressure is not None or temperature is not None:
-        N0 = number_density_van_der_waals(material_dico=material_dico)
-        N = number_density_van_der_waals(
-            pressure=pressure, temperature=temperature, material_dico=material_dico
-        )
-        ratio = N / N0
-    else:
-        ratio = 1
-    return ratio * n2_ref
-
-
 def gas_n2(gas_name: str, pressure: float, temperature: float) -> float:
     """returns the nonlinear refractive index
 
@@ -421,7 +294,7 @@ def gas_n2(gas_name: str, pressure: float, temperature: float) -> float:
     float
         n2 in m2/W
     """
-    return non_linear_refractive_index(utils.load_material_dico(gas_name), pressure, temperature)
+    return Gas(gas_name).n2(temperature, pressure)
 
 
 def gas_chi3(gas_name: str, wavelength: float, pressure: float, temperature: float) -> float:
@@ -441,11 +314,10 @@ def gas_chi3(gas_name: str, wavelength: float, pressure: float, temperature: flo
     float
         [description]
     """
-    mat_dico = utils.load_material_dico(gas_name)
+    gas = Gas(gas_name)
-    chi = sellmeier_scalar(wavelength, mat_dico, pressure=pressure, temperature=temperature)
+    n = gas.sellmeier.n(wavelength, temperature, pressure)
-    return n2_to_chi3(
+    n2 = gas.n2(temperature, pressure)
-        non_linear_refractive_index(mat_dico, pressure, temperature), np.sqrt(chi + 1)
+    return n2_to_chi3(n2, n)
-    )
 
 
 def n2_to_chi3(n2: float, n0: float) -> float:

src/scgenerator/physics/plasma.py

@@ -1,12 +1,12 @@
-from typing import Any, Callable, NamedTuple, TypeVar
+from typing import Any, Callable, NamedTuple
 
 import numpy as np
 import scipy.special
-from scipy.interpolate import interp1d
 from numpy.core.numeric import zeros_like
+from scipy.interpolate import interp1d
 
-from ..math import cumulative_simpson, expm1_int
+from scgenerator.math import cumulative_simpson, expm1_int
-from .units import e, hbar, me
+from scgenerator.physics.units import e, hbar, me
 
 
 class PlasmaInfo(NamedTuple):
@@ -99,7 +99,7 @@ class Plasma:
         loss_term = np.zeros_like(field)
         loss_term[nzi] = dn_dt[nzi] * self.ionization_energy / field[nzi]
 
-        phase_term = self.dt * e ** 2 / me * cumulative_simpson(electron_density * field)
+        phase_term = self.dt * e**2 / me * cumulative_simpson(electron_density * field)
 
         dp_dt = loss_term + phase_term
         polarization = self.dt * cumulative_simpson(dp_dt)
@@ -117,4 +117,4 @@ def free_electron_density(rate: np.ndarray, dt: float, N0: float) -> np.ndarray:
 def barrier_suppression(ionpot, Z):
     Ip_au = ionpot / 4.359744650021498e-18
     ns = Z / np.sqrt(2 * Ip_au)
-    return Z ** 3 / (16 * ns ** 4) * 5.14220670712125e11
+    return Z**3 / (16 * ns**4) * 5.14220670712125e11

src/scgenerator/physics/pulse.py

@@ -15,18 +15,17 @@ from dataclasses import astuple, dataclass
 from pathlib import Path
 from typing import Literal, Tuple, TypeVar
 
-import numba
 import matplotlib.pyplot as plt
 import numpy as np
 from numpy import pi
 from numpy.fft import fft, fftshift, ifft
 from scipy.interpolate import UnivariateSpline, interp1d
 from scipy.optimize import minimize_scalar
-from scipy.optimize.optimize import OptimizeResult
+from scipy.optimize._optimize import OptimizeResult
 
-from ..defaults import default_plotting
+from scgenerator import math
-from .. import math
+from scgenerator.defaults import default_plotting
-from . import units
+from scgenerator.physics import units
 
 c = 299792458.0
 hbar = 1.05457148e-34

src/scgenerator/physics/simulate.py

@@ -1,20 +1,20 @@
 import multiprocessing
 import multiprocessing.connection
 import os
+import warnings
 from collections import defaultdict
 from datetime import datetime
 from logging import Logger
 from pathlib import Path
 from typing import Any, Generator, Iterator, Optional, Type, Union
-import warnings
 
 import numpy as np
 
-from .. import solver, utils
+from scgenerator import solver, utils
-from ..logger import get_logger
+from scgenerator.logger import get_logger
-from ..operators import CurrentState
+from scgenerator.operators import CurrentState
-from ..parameter import FileConfiguration, Parameters
+from scgenerator.parameter import FileConfiguration, Parameters
-from ..pbar import PBars, ProgressBarActor, progress_worker
+from scgenerator.pbar import PBars, ProgressBarActor, progress_worker
 
 try:
     import ray

src/scgenerator/plotting.py

@@ -6,18 +6,18 @@ import matplotlib.gridspec as gs
 import matplotlib.pyplot as plt
 import numpy as np
 from matplotlib.axes import Axes
-from matplotlib.figure import Figure
 from matplotlib.colors import ListedColormap
+from matplotlib.figure import Figure
 from matplotlib.transforms import offset_copy
-from scipy.interpolate import UnivariateSpline, interp1d
+from scipy.interpolate import UnivariateSpline
 
-from . import math
+from scgenerator import math
-from .const import PARAM_SEPARATOR
+from scgenerator.const import PARAM_SEPARATOR
-from .defaults import default_plotting as defaults
+from scgenerator.defaults import default_plotting as defaults
-from .math import abs2, linear_interp_2d, span
+from scgenerator.math import abs2, linear_interp_2d, span
-from .parameter import Parameters
+from scgenerator.parameter import Parameters
-from .physics import pulse, units
+from scgenerator.physics import pulse, units
-from .physics.units import PlotRange, sort_axis
+from scgenerator.physics.units import PlotRange, sort_axis
 
 RangeType = tuple[float, float, Union[str, Callable]]
 NO_LIM = object()
@@ -563,7 +563,6 @@ def transform_mean_values(
     np.ndarray, shape (m, n)
         all the values
     """
-    AAA
     if values.ndim != 2:
         print(f"Shape was {values.shape}. Can only plot 2D arrays")
         return
@@ -1133,7 +1132,5 @@ def annotate_fwhm(
     else:
         offset = -arrow_length_pts
         x, y = (left, v_max / 2)
-    trans = offset_copy(
+    trans = offset_copy(ax.transData, ax.get_figure(), offset, 0, "points")
-        ax.transData, ax.get_figure(), offset, 0, "points"
-    )
     ax.text(x, y, arrow_label, transform=trans, **text_kwargs)

src/scgenerator/solver.py

@@ -1,23 +1,22 @@
 from __future__ import annotations
-from collections import defaultdict
 
 import logging
 from abc import abstractmethod
+from collections import defaultdict
 from typing import Iterator, Type
 
 import numba
 import numpy as np
 
-from .logger import get_logger
+from scgenerator.logger import get_logger
-from .operators import (
+from scgenerator.operators import (
     AbstractConservedQuantity,
     CurrentState,
     LinearOperator,
     NonLinearOperator,
     ValueTracker,
 )
-from .utils import get_arg_names
+from scgenerator.utils import get_arg_names
-import warnings
 
 
 class IntegratorError(Exception):
@@ -455,8 +454,8 @@ def rk4ip_step(
 @numba.jit(nopython=True)
 def compute_diff(coarse_spec: np.ndarray, fine_spec: np.ndarray) -> float:
     diff = coarse_spec - fine_spec
-    diff2 = diff.imag ** 2 + diff.real ** 2
+    diff2 = diff.imag**2 + diff.real**2
-    return np.sqrt(diff2.sum() / (fine_spec.real ** 2 + fine_spec.imag ** 2).sum())
+    return np.sqrt(diff2.sum() / (fine_spec.real**2 + fine_spec.imag**2).sum())
 
 
 def get_integrator(integration_scheme: str):

src/scgenerator/spectra.py

@@ -7,21 +7,21 @@ from typing import Callable, Iterator, Optional, Union
 import matplotlib.pyplot as plt
 import numpy as np
 
-from . import math
+from scgenerator import math
-from .const import PARAM_FN, SPEC1_FN, SPEC1_FN_N
+from scgenerator.const import PARAM_FN, SPEC1_FN, SPEC1_FN_N
-from .logger import get_logger
+from scgenerator.legacy import translate_parameters
-from .parameter import Parameters
+from scgenerator.logger import get_logger
-from .physics import pulse, units
+from scgenerator.parameter import Parameters
-from .physics.units import PlotRange
+from scgenerator.physics import pulse, units
-from .plotting import (
+from scgenerator.physics.units import PlotRange
+from scgenerator.plotting import (
     mean_values_plot,
     propagation_plot,
     single_position_plot,
     transform_1D_values,
     transform_2D_propagation,
 )
-from .utils import load_spectrum, simulations_list, load_toml
+from scgenerator.utils import load_spectrum, load_toml, simulations_list
-from .legacy import translate_parameters
 
 
 class Spectrum(np.ndarray):

src/scgenerator/variationer.py

@@ -1,6 +1,6 @@
-from math import prod
 import itertools
 from collections.abc import MutableMapping, Sequence
+from math import prod
 from pathlib import Path
 from typing import Any, Callable, Generator, Generic, Iterable, Iterator, Optional, TypeVar, Union
 
@@ -8,7 +8,7 @@ import numpy as np
 from pydantic import validator
 from pydantic.main import BaseModel
 
-from .const import PARAM_SEPARATOR
+from scgenerator.const import PARAM_SEPARATOR
 
 T = TypeVar("T")
 

testing/test_resonance.py

@@ -6,7 +6,7 @@ import matplotlib.pyplot as plt
 def main():
     capillary_thickness = 1.4e-6
     wl = np.linspace(200e-9, 2000e-9, 500)
-    n_gas_2 = sc.materials.n_gas_2(wl, "air", 3e5, 300, True)
+    n_gas_2 = sc.materials.n_gas_2(wl, "air", 3e5, 300)
     resonances = []
     for i in range(5):
         t = sc.fiber.resonance_thickness(wl, i, n_gas_2, 40e-6)