gh-35107: sage.{finance,interacts,libs,numerical,stats,tests}: Replace imports from sage.*.all for namespace packages

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### 📚 Description
Fixes #34957

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URL: #35107
Reported by: Matthias Köppe
Reviewer(s): Dima Pasechnik, Tobias Diez

Author: Release Manager

build/pkgs/configure/checksums.ini

@@ -1,4 +1,4 @@
 tarball=configure-VERSION.tar.gz
-sha1=81dde9cfffd7aab81def87cdb9df95d68df3a7e0
-md5=6c7050003c660cecb9363b802a8a7f63
-cksum=658724891
+sha1=d593e6b130ad78162b7efaf18f9be312ca49fc8f
+md5=5bae34229686080975fd118ef2deff08
+cksum=3618148381

build/pkgs/configure/package-version.txt

@@ -1 +1 @@
-c36342c98a8b9a82feb84759676d74d6815a4840
+fcbf5470c0bdd7ae51eff141bb3961a2a73b293e

src/sage/finance/fractal.pyx

@@ -21,7 +21,9 @@ AUTHOR:
 - William Stein (2008)
 """
 
-from sage.rings.all import RDF, CDF, Integer
+from sage.rings.real_double import RDF
+from sage.rings.complex_double import CDF
+from sage.rings.integer import Integer
 from sage.modules.free_module_element import vector
 I = CDF.gen()
 

src/sage/interacts/library.py

@@ -161,7 +161,7 @@ def html(obj):
         sage: html("<h1>Hello world</h1>")
         <h1>Hello world</h1>
     """
-    from sage.all import html
+    from sage.misc.html import html
     pretty_print(html(obj))
 
 
@@ -1301,7 +1301,7 @@ def simpson_integration(
     else:
         interval = interval_g[0]
     def parabola(a, b, c):
-        from sage.all import solve
+        from sage.symbolic.relation import solve
         A, B, C = SR.var("A, B, C")
         K = solve([A*a[0]**2+B*a[0]+C==a[1], A*b[0]**2+B*b[0]+C==b[1], A*c[0]**2+B*c[0]+C==c[1]], [A, B, C], solution_dict=True)[0]
         f = K[A]*x**2+K[B]*x+K[C]

src/sage/libs/arb/arb_version.pyx

@@ -1,5 +1,5 @@
 # -*- coding: utf-8
-from sage.libs.arb.arb cimport arb_version 
+from sage.libs.arb.arb cimport arb_version
 from sage.cpython.string cimport char_to_str
 
 def version():

src/sage/libs/coxeter3/coxeter_group.py

@@ -15,7 +15,7 @@
 from sage.structure.unique_representation import UniqueRepresentation
 from sage.structure.element_wrapper import ElementWrapper
 from sage.structure.richcmp import richcmp
-from sage.categories.all import CoxeterGroups
+from sage.categories.coxeter_groups import CoxeterGroups
 from sage.structure.parent import Parent
 
 from sage.combinat.root_system.coxeter_matrix import CoxeterMatrix
@@ -37,7 +37,7 @@ def __classcall__(cls, cartan_type, *args, **options):
             Coxeter group of type ['B', 3] relabelled by {1: 3, 2: 2, 3: 1} implemented by Coxeter3
 
         """
-        from sage.combinat.all import CartanType
+        from sage.combinat.root_system.cartan_type import CartanType
         ct = CartanType(cartan_type)
         return super().__classcall__(cls, ct, *args, **options)
 

src/sage/libs/eclib/homspace.pyx

@@ -8,7 +8,7 @@ from libcpp.map cimport map
 from ..eclib cimport vec, svec, mat, smat
 from .mat cimport MatrixFactory
 
-from sage.matrix.all import MatrixSpace
+from sage.matrix.matrix_space import MatrixSpace
 from sage.matrix.matrix_integer_sparse cimport Matrix_integer_sparse
 from sage.rings.integer_ring import ZZ
 from sage.rings.integer cimport Integer

src/sage/libs/eclib/mat.pyx

@@ -4,7 +4,7 @@ Cremona matrices
 
 from ..eclib cimport scalar, addscalar
 
-from sage.matrix.all import MatrixSpace
+from sage.matrix.matrix_space import MatrixSpace
 from sage.rings.integer_ring import ZZ
 
 from sage.matrix.matrix_integer_sparse cimport Matrix_integer_sparse

src/sage/libs/eclib/mwrank.pyx

@@ -593,20 +593,20 @@ cdef class _mw:
             Reducing saturation bound from given value 20 to computed index bound 3
             Tamagawa index primes are [ 2 ]
             Checking saturation at [ 2 3 ]
-            Checking 2-saturation 
+            Checking 2-saturation
             Points were proved 2-saturated (max q used = 7)
-            Checking 3-saturation 
+            Checking 3-saturation
             Points were proved 3-saturated (max q used = 7)
             done
             P2 = [-2:3:1]         is generator number 2
             saturating up to 20...Saturation index bound (for points of good reduction)  = 4
             Reducing saturation bound from given value 20 to computed index bound 4
             Tamagawa index primes are [ 2 ]
             Checking saturation at [ 2 3 ]
-            Checking 2-saturation 
+            Checking 2-saturation
             possible kernel vector = [1,1]
             This point may be in 2E(Q): [14:-52:1]
-            ...and it is! 
+            ...and it is!
             Replacing old generator #1 with new generator [1:-1:1]
             Reducing index bound from 4 to 2
             Points have successfully been 2-saturated (max q used = 7)
@@ -618,9 +618,9 @@ cdef class _mw:
             Reducing saturation bound from given value 20 to computed index bound 3
             Tamagawa index primes are [ 2 ]
             Checking saturation at [ 2 3 ]
-            Checking 2-saturation 
+            Checking 2-saturation
             Points were proved 2-saturated (max q used = 11)
-            Checking 3-saturation 
+            Checking 3-saturation
             Points were proved 3-saturated (max q used = 13)
             done, index = 1.
             P4 = [-1:3:1]        = -1*P1 + -1*P2 + -1*P3 (mod torsion)

src/sage/libs/gap/element.pyx

@@ -27,7 +27,9 @@ from sage.cpython.string cimport str_to_bytes, char_to_str
 from sage.misc.cachefunc import cached_method
 from sage.structure.sage_object cimport SageObject
 from sage.structure.parent import Parent
-from sage.rings.all import ZZ, QQ, RDF
+from sage.rings.integer_ring import ZZ
+from sage.rings.rational_field import QQ
+from sage.rings.real_double import RDF
 
 from sage.groups.perm_gps.permgroup_element cimport PermutationGroupElement
 from sage.combinat.permutation import Permutation

src/sage/libs/giac/giac.pyx

@@ -154,7 +154,9 @@ from sage.ext.stdsage cimport PY_NEW
 
 from sage.libs.gmp.mpz cimport mpz_t, mpz_init_set
 
-from sage.rings.all import ZZ, QQ, IntegerModRing
+from sage.rings.integer_ring import ZZ
+from sage.rings.rational_field import QQ
+from sage.rings.finite_rings.integer_mod_ring import IntegerModRing
 from sage.rings.integer cimport Integer
 from sage.rings.rational cimport Rational
 from sage.structure.element cimport Matrix

src/sage/libs/lcalc/lcalc_Lfunction.pyx

@@ -272,7 +272,7 @@ cdef class Lfunction:
 
     def find_zeros(self, T1, T2, stepsize):
         """
-        Finds zeros on critical line between ``T1`` and ``T2`` using step size 
+        Finds zeros on critical line between ``T1`` and ``T2`` using step size
         of stepsize. This function might miss zeros if step size is too
         large. This function computes the zeros of the L-function by using
         change in signs of areal valued function whose zeros coincide with

src/sage/libs/linkages/padics/API.pxi

@@ -201,8 +201,8 @@ cdef inline long cremove(celement out, celement a, long prec, PowComputer_class
     - ``a`` -- the element whose valuation and unit are desired.
     - ``prec`` -- a long, used if `a = 0`.
     - ``prime_pow`` -- the PowComputer for the ring.
-    - ``reduce_relative`` -- a bint: whether the final result 
-      should be reduced at precision ``prec`` (case ``False``) 
+    - ``reduce_relative`` -- a bint: whether the final result
+      should be reduced at precision ``prec`` (case ``False``)
       or ``prec - valuation`` (case ``True``)
 
     OUTPUT:

src/sage/libs/linkages/padics/Polynomial_shared.pxi

@@ -128,14 +128,14 @@ cdef inline long cremove(celement out, celement a, long prec, PowComputer_ prime
     INPUT:
 
     - ``out`` -- a ``celement`` to store the unit part
- 
+
     - ``a`` -- the ``celement`` whose valuation and unit are desired
- 
+
     - ``prec`` -- a ``long``, the return value if ``a`` is zero
- 
+
     - ``prime_pow`` -- the ``PowComputer`` for the ring
 
-    - ``reduce_relative`` -- a bint: whether the final result          
+    - ``reduce_relative`` -- a bint: whether the final result
       should be reduced at precision ``prec`` (case ``False``)
       or ``prec - valuation`` (case ``True``)
 

src/sage/libs/linkages/padics/fmpz_poly_unram.pxi

@@ -194,7 +194,7 @@ cdef inline long cremove(celement out, celement a, long prec, PowComputer_ prime
     - ``a`` -- the element whose valuation and unit are desired.
     - ``prec`` -- a long, used if `a = 0`.
     - ``prime_pow`` -- the PowComputer for the ring.
-    - ``reduce_relative`` -- a bint: whether the final result          
+    - ``reduce_relative`` -- a bint: whether the final result
       should be reduced at precision ``prec`` (case ``False``)
       or ``prec - valuation`` (case ``True``)
 

src/sage/libs/linkages/padics/mpz.pxi

@@ -367,7 +367,7 @@ cdef inline int csetone(mpz_t out, PowComputer_ prime_pow) except -1:
     - ``prime_pow`` -- the PowComputer for the ring.
     """
     mpz_set_ui(out, 1)
-    
+
 cdef inline int csetzero(mpz_t out, PowComputer_ prime_pow) except -1:
     """
     Sets to 0.
@@ -378,7 +378,7 @@ cdef inline int csetzero(mpz_t out, PowComputer_ prime_pow) except -1:
     - ``prime_pow`` -- the PowComputer for the ring.
     """
     mpz_set_ui(out, 0)
-    
+
 cdef inline bint cisone(mpz_t out, PowComputer_ prime_pow) except -1:
     """
     Returns whether this element is equal to 1.

src/sage/libs/linkages/padics/relaxed/API.pxi

@@ -362,7 +362,7 @@ cdef inline void element_get_slice(celement res, celement x, long start, long le
     .. NOTE::
 
         This function only sets up a pointer to the requested slice
-        (the slice is not copied). Hence any future modification 
+        (the slice is not copied). Hence any future modification
         of the slice ``res`` will affect the container ``x``.
     """
     pass

src/sage/libs/pari/convert_sage.pyx

@@ -30,7 +30,9 @@ from sage.ext.stdsage cimport PY_NEW
 from sage.libs.gmp.mpz cimport mpz_fits_slong_p, mpz_sgn, mpz_get_ui, mpz_set, mpz_set_si, mpz_set_ui
 from sage.libs.gmp.mpq cimport mpq_denref, mpq_numref
 from sage.rings.integer cimport smallInteger
-from sage.rings.all import RealField, ComplexField, QuadraticField
+from sage.rings.real_mpfr import RealField
+from sage.rings.complex_mpfr import ComplexField
+from sage.rings.number_field.number_field import QuadraticField
 from sage.matrix.args cimport (MatrixArgs, MA_ENTRIES_SEQ_SEQ,
                                MA_ENTRIES_SEQ_FLAT, MA_ENTRIES_CALLABLE,
                                MA_ENTRIES_UNKNOWN, MA_ENTRIES_SCALAR)

src/sage/numerical/backends/cvxopt_backend.pyx

@@ -137,7 +137,7 @@ cdef class CVXOPTBackend(GenericBackend):
         This amounts to adding a new column to the matrix. By default,
         the variable is both positive and real.
         Variable types are always continuous, and thus the parameters
-        ``binary``, ``integer``, and ``continuous`` have no effect. 
+        ``binary``, ``integer``, and ``continuous`` have no effect.
 
         INPUT:
 

src/sage/numerical/backends/cvxopt_sdp_backend.pyx

@@ -20,7 +20,7 @@ AUTHORS:
 #*****************************************************************************
 
 from sage.numerical.sdp import SDPSolverException
-from sage.matrix.all import Matrix
+from sage.matrix.constructor import Matrix
 from .matrix_sdp_backend cimport MatrixSDPBackend
 
 

src/sage/numerical/backends/generic_backend.pyx

@@ -1555,7 +1555,7 @@ def default_mip_solver(solver=None):
         - a string indicating one of the available solvers
           (see :class:`MixedIntegerLinearProgram`);
 
-        - a callable (typically a subclass of 
+        - a callable (typically a subclass of
           :class:`sage.numerical.backends.generic_backend.GenericBackend`);
 
         - ``None`` (default), in which case the current default solver
@@ -1759,7 +1759,8 @@ cpdef GenericBackend get_solver(constraint_generation = False, solver = None, ba
 
         if base_ring is not None:
             base_ring = base_ring.fraction_field()
-            from sage.rings.all import QQ, RDF
+            from sage.rings.rational_field import QQ
+            from sage.rings.real_double import RDF
             if base_ring is QQ:
                 solver = "Ppl"
             elif solver in ["Interactivelp", "Ppl"] and not base_ring.is_exact():

src/sage/numerical/backends/matrix_sdp_backend.pyx

@@ -20,7 +20,7 @@ other classes implementing solvers.
 #                  http://www.gnu.org/licenses/
 #*****************************************************************************
 
-from sage.matrix.all import Matrix
+from sage.matrix.constructor import Matrix
 from .generic_sdp_backend cimport GenericSDPBackend
 
 cdef class MatrixSDPBackend(GenericSDPBackend):

src/sage/numerical/gauss_legendre.pyx

@@ -63,7 +63,7 @@ def nodes_uncached(degree, prec):
 
      - ``degree`` -- integer. The number of nodes. Must be 3 or even.
 
-     - ``prec`` -- integer (minimal value 53). Binary precision with which the 
+     - ``prec`` -- integer (minimal value 53). Binary precision with which the
        nodes and weights are computed.
 
     OUTPUT:
@@ -166,13 +166,13 @@ def nodes(degree, prec):
     Compute the integration nodes and weights for the Gauss-Legendre quadrature
     scheme, caching the output
 
-    Works by calling ``nodes_uncached``. 
+    Works by calling ``nodes_uncached``.
 
     INPUT:
 
      - ``degree`` -- integer. The number of nodes. Must be 3 or even.
 
-     - ``prec`` -- integer (minimal value 53). Binary precision with which the 
+     - ``prec`` -- integer (minimal value 53). Binary precision with which the
        nodes and weights are computed.
 
     OUTPUT:
@@ -271,10 +271,10 @@ def integrate_vector_N(f, prec, N=3):
     Integrate a one-argument vector-valued function numerically using Gauss-Legendre,
     setting the number of nodes.
 
-    This function uses the Gauss-Legendre quadrature scheme to approximate the 
+    This function uses the Gauss-Legendre quadrature scheme to approximate the
     integral `\int_0^1 f(t) \, dt`. It is different from ``integrate_vector``
     by using a specific number of nodes rather than targeting a specified error
-    bound on the result. 
+    bound on the result.
 
     INPUT:
 
@@ -284,9 +284,9 @@ def integrate_vector_N(f, prec, N=3):
 
      - ``N`` -- integer (default: 3). Number of nodes to use.
 
-     OUTPUT: 
+     OUTPUT:
 
-     Vector approximating value of the integral. 
+     Vector approximating value of the integral.
 
      EXAMPLES::
 
@@ -300,14 +300,14 @@ def integrate_vector_N(f, prec, N=3):
 
     .. NOTE::
 
-        The nodes and weights are calculated in the real field with ``prec`` 
+        The nodes and weights are calculated in the real field with ``prec``
         bits of precision. If the vector space in which ``f`` takes values
         is over a field which is incompatible with this field (e.g. a finite
-        field) then a TypeError occurs. 
+        field) then a TypeError occurs.
     """
-    # We use nodes_uncached, because caching takes up memory, and numerics in 
-    # Bruin-DisneyHogg-Gao suggest that caching provides little benefit in the 
-    # use in the Riemann surfaces module. 
+    # We use nodes_uncached, because caching takes up memory, and numerics in
+    # Bruin-DisneyHogg-Gao suggest that caching provides little benefit in the
+    # use in the Riemann surfaces module.
     nodelist = nodes_uncached(N, prec)
     I = nodelist[0][1]*f(nodelist[0][0])
     for i in range(1,len(nodelist)):

src/sage/numerical/interactive_simplex_method.py

@@ -183,10 +183,10 @@
 
 from sage.misc.abstract_method import abstract_method
 from sage.geometry.all import Polyhedron
-from sage.matrix.all import (column_matrix,
-                             identity_matrix,
-                             matrix,
-                             random_matrix)
+from sage.matrix.special import column_matrix
+from sage.matrix.special import identity_matrix
+from sage.matrix.constructor import Matrix as matrix
+from sage.matrix.special import random_matrix
 from sage.misc.latex import LatexExpr, latex
 from sage.misc.cachefunc import cached_function, cached_method
 from sage.misc.prandom import randint, random
@@ -195,7 +195,11 @@
 from sage.modules.all import random_vector, vector
 from sage.misc.lazy_import import lazy_import
 lazy_import("sage.plot.all", ["Graphics", "arrow", "line", "point", "rainbow", "text"])
-from sage.rings.all import Infinity, PolynomialRing, QQ, RDF, ZZ
+from sage.rings.infinity import Infinity
+from sage.rings.polynomial.polynomial_ring_constructor import PolynomialRing
+from sage.rings.rational_field import QQ
+from sage.rings.real_double import RDF
+from sage.rings.integer_ring import ZZ
 from sage.structure.all import SageObject
 from sage.symbolic.ring import SR
 

src/sage/numerical/linear_functions.pyx

@@ -1064,7 +1064,7 @@ cdef class LinearFunction(LinearFunctionOrConstraint):
             sage: f._coeff_formatter(sqrt5)
             'sqrt5*'
 
-            sage: from sage.rings.all import AA
+            sage: from sage.rings.qqbar import AA
             sage: sqrt5 = AA(5).sqrt()
             sage: p = MixedIntegerLinearProgram(solver='interactivelp', base_ring=AA)
             sage: LF = p.linear_functions_parent()