Pre commit check

.github/workflows/python-package.yml

@@ -16,7 +16,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ["3.9", "3.10", "3.11"]
+        python-version: ["3.10", "3.11"]
 
     steps:
     - uses: actions/checkout@v3

ruff.toml

@@ -1 +1,2 @@
+[lint]
 ignore = ["F722"]

src/jimgw/single_event/likelihood.py

@@ -541,8 +541,8 @@ def compute_coefficients(data, h_ref, psd, freqs, f_bins, f_bins_center):
 
     def maximize_likelihood(
         self,
-        bounds: Float[Array, " n_dim 2"],
         prior: Prior,
+        bounds: Float[Array, " n_dim 2"],
         popsize: int = 100,
         n_steps: int = 2000,
     ):

src/jimgw/single_event/runManager.py

@@ -65,7 +65,6 @@ def jaxarray_representer(dumper: yaml.Dumper, data: ArrayImpl):
 @dataclass
 class SingleEventRun:
     seed: int
-    path: str
 
     detectors: list[str]
     priors: dict[

src/jimgw/single_event/utils.py

@@ -1,11 +1,9 @@
 import jax.numpy as jnp
-from jax import jit
 from jax.scipy.integrate import trapezoid
 from jax.scipy.special import i0e
 from jaxtyping import Array, Float
 
 
-@jit
 def inner_product(
     h1: Float[Array, " n_sample"],
     h2: Float[Array, " n_sample"],
@@ -39,7 +37,6 @@ def inner_product(
     return 4.0 * jnp.real(trapezoid(integrand, dx=df))
 
 
-@jit
 def m1m2_to_Mq(m1: Float, m2: Float):
     """
     Transforming the primary mass m1 and secondary mass m2 to the Total mass M
@@ -64,7 +61,6 @@ def m1m2_to_Mq(m1: Float, m2: Float):
     return M_tot, q
 
 
-@jit
 def Mq_to_m1m2(trans_M_tot: Float, trans_q: Float):
     """
     Transforming the Total mass M and mass ratio q to the primary mass m1 and
@@ -91,7 +87,6 @@ def Mq_to_m1m2(trans_M_tot: Float, trans_q: Float):
     return m1, m2
 
 
-@jit
 def Mc_q_to_m1m2(Mc: Float, q: Float) -> tuple[Float, Float]:
     """
     Transforming the chirp mass Mc and mass ratio q to the primary mass m1 and
@@ -118,7 +113,6 @@ def Mc_q_to_m1m2(Mc: Float, q: Float) -> tuple[Float, Float]:
     return m1, m2
 
 
-@jit
 def ra_dec_to_theta_phi(ra: Float, dec: Float, gmst: Float) -> tuple[Float, Float]:
     """
     Transforming the right ascension ra and declination dec to the polar angle
@@ -145,8 +139,7 @@ def ra_dec_to_theta_phi(ra: Float, dec: Float, gmst: Float) -> tuple[Float, Floa
     return theta, phi
 
 
-@jit
-def euler_rotation(delta_x: tuple[Float, Float, Float]):
+def euler_rotation(delta_x: Float[Array, " 3"]):
     """
     Calculate the rotation matrix mapping the vector (0, 0, 1) to delta_x
     while preserving the origin of the azimuthal angle.
@@ -189,9 +182,8 @@ def euler_rotation(delta_x: tuple[Float, Float, Float]):
     return rotation
 
 
-@jit
 def zenith_azimuth_to_theta_phi(
-    zenith: Float, azimuth: Float, delta_x: tuple[Float, Float, Float]
+    zenith: Float, azimuth: Float, delta_x: Float[Array, " 3"]
 ) -> tuple[Float, Float]:
     """
     Transforming the azimuthal angle and zenith angle in Earth frame to the polar angle and azimuthal angle in sky frame.
@@ -241,7 +233,6 @@ def zenith_azimuth_to_theta_phi(
     return theta, phi
 
 
-@jit
 def theta_phi_to_ra_dec(theta: Float, phi: Float, gmst: Float) -> tuple[Float, Float]:
     """
     Transforming the polar angle and azimuthal angle to right ascension and declination.
@@ -267,9 +258,8 @@ def theta_phi_to_ra_dec(theta: Float, phi: Float, gmst: Float) -> tuple[Float, F
     return ra, dec
 
 
-@jit
 def zenith_azimuth_to_ra_dec(
-    zenith: Float, azimuth: Float, gmst: Float, delta_x: tuple[Float, Float, Float]
+    zenith: Float, azimuth: Float, gmst: Float, delta_x: Float[Array, " 3"]
 ) -> tuple[Float, Float]:
     """
     Transforming the azimuthal angle and zenith angle in Earth frame to right ascension and declination.
@@ -300,8 +290,7 @@ def zenith_azimuth_to_ra_dec(
     return ra, dec
 
 
-@jit
-def log_i0(x):
+def log_i0(x: Float[Array, " n"]) -> Float[Array, " n"]:
     """
     A numerically stable method to evaluate log of
     a modified Bessel function of order 0.