Black reformat on processing
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eff2b09c8f
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358b57f23d
GPG key ID:
9833D3C5A25BD227
7 changed files with 62 additions and 41 deletions
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@ -30,7 +30,7 @@ def data(var):
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x = data("x")
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#t = data("t")
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# t = data("t")
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watl = data("watl")
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botl = data("botl")
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@ -55,7 +55,7 @@ vk = np.sqrt((velk[n] ** 2).sum(axis=1))
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lines = ax.plot(x, zk[n].T, c="#0066cc")
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quiv = []
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for i in range(len(lines)-1):
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for i in range(len(lines) - 1):
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quiv.append(
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ax.quiver(
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x[::50],
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@ -70,28 +70,46 @@ def PUV_dam(u, p, h, fs, zmesP, zmesU):
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ccs.append(cs)
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cccp.append(ccp)
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# calcul des amplitudes des ondes incidentes a partir de uhoriz et p
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aincident13.append(0.5 * np.sqrt(
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a1 * a1 / (cc * cc)
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+ a3
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* a3
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* g
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* g
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* xf[ii]
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* xf[ii]
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/ (omega[ii] * omega[ii] * ccp * ccp)
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+ 2 * a1 * a3 * g * k_xb[ii] * np.cos(phi3 - phi1) / (cc * ccp * omega[ii])
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))
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areflechi13.append(0.5 * np.sqrt(
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a1 * a1 / (cc * cc)
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+ a3
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* a3
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* g
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* g
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* k_xb[ii]
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* k_xb[ii]
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/ (omega[ii] * omega[ii] * ccp * ccp)
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- 2 * a1 * a3 * g * xf[ii] * np.cos(phi3 - phi1) / (cc * ccp * omega[ii])
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))
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aincident13.append(
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0.5
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* np.sqrt(
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a1 * a1 / (cc * cc)
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+ a3
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* a3
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* g
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* g
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* xf[ii]
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* xf[ii]
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/ (omega[ii] * omega[ii] * ccp * ccp)
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+ 2
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* a1
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* a3
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* g
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* k_xb[ii]
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* np.cos(phi3 - phi1)
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/ (cc * ccp * omega[ii])
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)
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)
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areflechi13.append(
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0.5
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* np.sqrt(
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a1 * a1 / (cc * cc)
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+ a3
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* a3
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* g
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* g
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* k_xb[ii]
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* k_xb[ii]
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/ (omega[ii] * omega[ii] * ccp * ccp)
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- 2
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* a1
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* a3
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* g
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* xf[ii]
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* np.cos(phi3 - phi1)
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/ (cc * ccp * omega[ii])
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)
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)
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cv = g * xf[ii] / (omega[ii] * ccp)
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cp = 1 / cc
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aprog.append(a3 / (g * xf[ii] / (omega[ii] * ccp)))
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@ -35,9 +35,9 @@ vel = np.load(inp.joinpath("vel_x.npy"))
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# Cospectral calculations
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x0 = config.getint("post", "x0")
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arg_x0 = np.abs(x - x0).argmin()
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t0 = int(config.getfloat("post", "t0")*1e3)
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t0 = int(config.getfloat("post", "t0") * 1e3)
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arg_t0 = np.abs(t - t0).argmin()
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dt = np.diff(t).mean()*1e-3
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dt = np.diff(t).mean() * 1e-3
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f = 1 / dt
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nperseg = config.getint("post", "nperseg", fallback=None)
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log.info(f"Computing reflection coefficient at x={x0}")
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@ -58,10 +58,10 @@ R = np.sqrt(
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(np.abs(phi_eta[1]) + np.abs(phi_u[1]) - 2 * phi_eta_u[1].real)
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/ (np.abs(phi_eta[1]) + np.abs(phi_u[1]) + 2 * phi_eta_u[1].real)
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)
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#R = np.sqrt(
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# R = np.sqrt(
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# (1 + G**2 - 2 * G * np.cos(th_eta_u))
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# / (1 + G**2 + 2 * G * np.cos(th_eta_u))
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#)
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# )
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if config.has_option("post", "compare"):
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inp_comp = pathlib.Path(config.get("post", "compare"))
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@ -91,27 +91,27 @@ if config.has_option("post", "compare"):
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(np.abs(phi_eta_[1]) + np.abs(phi_u_[1]) - 2 * phi_eta_u_[1].real)
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/ (np.abs(phi_eta_[1]) + np.abs(phi_u_[1]) + 2 * phi_eta_u_[1].real)
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)
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#R_ = np.sqrt(
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# R_ = np.sqrt(
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# (1 + G_**2 - 2 * G_ * np.cos(th_eta_u_))
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# / (1 + G_**2 + 2 * G_ * np.cos(th_eta_u_))
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#)
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# )
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# Plotting
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log.info("Plotting results")
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fig, (ax_watl, ax_vel) = plt.subplots(2)
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ax_watl.plot(t*1e-3, watl[:, arg_x0], lw=1, label="watl")
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ax_watl.plot(t * 1e-3, watl[:, arg_x0], lw=1, label="watl")
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ax_watl.set(xlabel="t (s)", ylabel="z (m)")
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ax_watl.autoscale(axis="x", tight=True)
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ax_watl.grid()
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ax_watl.axvline(t0*1e-3, c="k", alpha=0.2)
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ax_watl.axvline(t0 * 1e-3, c="k", alpha=0.2)
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ax_vel.plot(t*1e-3, vel[:, arg_x0], lw=1, label="vel")
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ax_vel.plot(t * 1e-3, vel[:, arg_x0], lw=1, label="vel")
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ax_vel.set(xlabel="t (s)", ylabel="U (m/s)")
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ax_vel.autoscale(axis="x", tight=True)
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ax_vel.grid()
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ax_vel.axvline(t0*1e-3, c="k", alpha=0.2)
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ax_vel.axvline(t0 * 1e-3, c="k", alpha=0.2)
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fig.tight_layout()
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@ -40,7 +40,9 @@ for r in np.arange(0, 1.1, 0.1):
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*Rn,
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c="#ff6600",
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)
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axr.annotate(f"{r=:.1f}", (Rn[0][0], Rn[1][0]), bbox={"boxstyle": "square", "facecolor": "w"})
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axr.annotate(
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f"{r=:.1f}", (Rn[0][0], Rn[1][0]), bbox={"boxstyle": "square", "facecolor": "w"}
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)
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axr.grid()
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axr.autoscale(True, "x", tight=True)
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axr.set(ylim=(0, 1), ylabel="R", xlabel="f")
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@ -7,6 +7,7 @@ import numpy as np
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log = logging.getLogger("read_swash")
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class ReadSwash:
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def __init__(self):
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self._n_x = None
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@ -30,14 +30,14 @@ np.save(inp.joinpath("tsec"), rsws.read_time(sws_out.joinpath("tsec.dat")))
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np.save(inp.joinpath("xp"), rsws.read_x(sws_out.joinpath("xp.dat")))
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var = {
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#"dep": rsws.read_scalar,
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# "dep": rsws.read_scalar,
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"botl": rsws.read_const,
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"watl": rsws.read_scalar,
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#"pressk": rsws.read_scalar_lay,
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#"nhprsk": rsws.read_scalar_lay,
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#"zk": rsws.read_scalar_lay,
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#"velk": rsws.read_vector_lay,
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#"vz": rsws.read_scalar_lay,
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# "pressk": rsws.read_scalar_lay,
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# "nhprsk": rsws.read_scalar_lay,
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# "zk": rsws.read_scalar_lay,
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# "velk": rsws.read_vector_lay,
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# "vz": rsws.read_scalar_lay,
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"vel": rsws.read_vector,
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}
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