def cylindrical_in(x, y, z, V):
rho, phi, z = to_cylindrical((x, y, z), mode='radians')
variables.update(dict(rho=rho, phi=phi, z=z, V=V))
v1 = safe_eval_compiled(compiled1, variables)
v2 = safe_eval_compiled(compiled2, variables)
v3 = safe_eval_compiled(compiled3, variables)
return out_coordinates(v1, v2, v3)
def carthesian_in(x, y, z, V):
variables.update(dict(x=x, y=y, z=z, V=V))
v1 = safe_eval_compiled(compiled1, variables, allowed_names = safe_names_np)
v2 = safe_eval_compiled(compiled2, variables, allowed_names = safe_names_np)
v3 = safe_eval_compiled(compiled3, variables, allowed_names = safe_names_np)
if not isinstance(v1, np.ndarray):
v1 = np.full_like(x, v1)
if not isinstance(v2, np.ndarray):
v2 = np.full_like(x, v2)
if not isinstance(v3, np.ndarray):
v3 = np.full_like(x, v3)
return out_coordinates(v1, v2, v3)
def spherical_in(x, y, z, V):
rho, phi, theta = to_spherical_np((x, y, z), mode='radians')
variables.update(dict(rho=rho, phi=phi, theta=theta, V=V))
v1 = safe_eval_compiled(compiled1, variables, allowed_names = safe_names_np)
v2 = safe_eval_compiled(compiled2, variables, allowed_names = safe_names_np)
v3 = safe_eval_compiled(compiled3, variables, allowed_names = safe_names_np)
if not isinstance(v1, np.ndarray):
v1 = np.full_like(x, v1)
if not isinstance(v2, np.ndarray):
v2 = np.full_like(x, v2)
if not isinstance(v3, np.ndarray):
v3 = np.full_like(x, v3)
return out_coordinates(v1, v2, v3)
def function(u, v):
variables.update(dict(u=u, v=v))
v1 = safe_eval_compiled(compiled1, variables, allowed_names = safe_names_np)
v2 = safe_eval_compiled(compiled2, variables, allowed_names = safe_names_np)
v3 = safe_eval_compiled(compiled3, variables, allowed_names = safe_names_np)
if not isinstance(v1, np.ndarray):
v1 = np.full_like(u, v1)
if not isinstance(v2, np.ndarray):
v2 = np.full_like(u, v2)
if not isinstance(v3, np.ndarray):
v3 = np.full_like(u, v3)
return np.array(out_coordinates(v1, v2, v3)).T
def spherical(x, y, z, V):
rho, phi, theta = to_spherical((x, y, z), mode='radians')
variables.update(dict(rho=rho, phi=phi, theta=theta, V=V))
r = safe_eval_compiled(compiled, variables)
if not isinstance(r, np.ndarray):
r = np.full_like(x, r)
return r
def cylindrical(x, y, z, V):
rho, phi, z = to_cylindrical_np((x, y, z), mode='radians')
variables.update(dict(rho=rho, phi=phi, z=z, V=V))
r = safe_eval_compiled(compiled, variables, allowed_names = safe_names_np)
if not isinstance(r, np.ndarray):
r = np.full_like(x, r)
return r
def eval_compiled_spreadsheet(compiled_src_dict,
row_names,
order,
variables,
allowed_names=None):
result = compiled_src_dict.copy()
named_accessors = {
name: SvSpreadsheetRowAccessor(result, name)
for name in row_names
}
variables = variables.copy()
variables.update(named_accessors)
col_names = list(list(compiled_src_dict.values())[0].keys())
for row_name, col_name in order:
compiled = compiled_src_dict[row_name][col_name]
if compiled:
item_variables = variables.copy()
column_accessors = {
name: compiled_src_dict[row_name][name]
for name in col_names
}
item_variables.update(column_accessors)
value = safe_eval_compiled(compiled, item_variables, allowed_names)
result[row_name][col_name] = value
return result
def carthesian(x, y, z, V):
variables.update(dict(x=x, y=y, z=z, V=V))
r = safe_eval_compiled(compiled,
variables,
allowed_names=safe_names_np)
if not isinstance(r, np.ndarray):
r = np.full_like(x, r)
return r
def function(t):
variables.update(dict(t=t))
v1 = safe_eval_compiled(compiled1, variables)
v2 = safe_eval_compiled(compiled2, variables)
v3 = safe_eval_compiled(compiled3, variables)
return np.array(out_coordinates(v1, v2, v3))
def carthesian_in(x, y, z, V):
variables.update(dict(x=x, y=y, z=z, V=V))
v1 = safe_eval_compiled(compiled1, variables)
v2 = safe_eval_compiled(compiled2, variables)
v3 = safe_eval_compiled(compiled3, variables)
return out_coordinates(v1, v2, v3)
def spherical(x, y, z, V):
rho, phi, theta = to_spherical((x, y, z), mode='radians')
variables.update(dict(rho=rho, phi=phi, theta=theta, V=V))
return safe_eval_compiled(compiled, variables)
def cylindrical(x, y, z, V):
rho, phi, z = to_cylindrical((x, y, z), mode='radians')
variables.update(dict(rho=rho, phi=phi, z=z, V=V))
return safe_eval_compiled(compiled, variables)
def carthesian(x, y, z, V):
variables.update(dict(x=x, y=y, z=z, V=V))
return safe_eval_compiled(compiled, variables)
def function(x, y, z, V):
variables = dict(x=x, y=y, z=z, V=V)
return safe_eval_compiled(compiled, variables)
def function(x, y, z, V):
variables = dict(x=x, y=y, z=z, V=V)
v1 = safe_eval_compiled(compiled1, variables)
v2 = safe_eval_compiled(compiled2, variables)
v3 = safe_eval_compiled(compiled3, variables)
return v1, v2, v3
