Merge branch 'Skip_interpolation_tests' into 'master'

Adapted test cases to Sympy Version 1.6

See merge request pycodegen/pystencils!158

.flake8

@@ -3,4 +3,4 @@ max-line-length=120
 exclude=pystencils/jupyter.py,
         pystencils/plot.py
         pystencils/session.py
-ignore = W293 W503 W291 C901
+ignore = W293 W503 W291 C901 E741

.gitlab-ci.yml

@@ -13,6 +13,7 @@ tests-and-coverage:
       - $ENABLE_NIGHTLY_BUILDS
   image: i10git.cs.fau.de:5005/pycodegen/pycodegen/full
   script:
+    - env
     - pip list
     - export NUM_CORES=$(nproc --all)
     - mkdir -p ~/.config/matplotlib

conftest.py

@@ -152,6 +152,7 @@ class IPyNbFile(pytest.File):
             notebook = nbformat.read(notebook_contents, 4)
             code, _ = exporter.from_notebook_node(notebook)
         yield IPyNbTest(self.name, self, code)
+        # pytest v 2.4>: yield IPyNbTest.from_parent(name=self.name, parent=self, code=code)
 
     def teardown(self):
         pass
@@ -161,3 +162,4 @@ def pytest_collect_file(path, parent):
     glob_exprs = ["*demo*.ipynb", "*tutorial*.ipynb", "test_*.ipynb"]
     if any(path.fnmatch(g) for g in glob_exprs):
         return IPyNbFile(path, parent)
+        # pytest v 2.4 >: return IPyNbFile.from_parent(fspath=path, parent=parent)

pystencils/assignment.py

@@ -53,7 +53,7 @@ else:
             # Tuple of things that can be on the lhs of an assignment
             assignable = (sp.Symbol, MatrixSymbol, MatrixElement, sp.Indexed)
             if not isinstance(lhs, assignable):
-                raise TypeError("Cannot assign to lhs of type %s." % type(lhs))
+                raise TypeError(f"Cannot assign to lhs of type {type(lhs)}.")
             return sp.Rel.__new__(cls, lhs, rhs, **assumptions)
 
         __str__ = assignment_str

pystencils/astnodes.py

@@ -113,14 +113,14 @@ class Conditional(Node):
         return self.__repr__()
 
     def __repr__(self):
-        repr = 'if:({!r}) '.format(self.condition_expr)
+        result = f'if:({self.condition_expr!r}) '
         if self.true_block:
-            repr += '\n\t{}) '.format(self.true_block)
+            result += f'\n\t{self.true_block}) '
         if self.false_block:
-            repr = 'else: '.format(self.false_block)
-            repr += '\n\t{} '.format(self.false_block)
+            result = 'else: '
+            result += f'\n\t{self.false_block} '
 
-        return repr
+        return result
 
     def replace_by_true_block(self):
         """Replaces the conditional by its True block"""
@@ -264,7 +264,7 @@ class KernelFunction(Node):
 
     def __repr__(self):
         params = [p.symbol for p in self.get_parameters()]
-        return '{0} {1}({2})'.format(type(self).__name__, self.function_name, params)
+        return f'{type(self).__name__} {self.function_name}({params})'
 
     def compile(self, *args, **kwargs):
         if self._compile_function is None:
@@ -475,11 +475,11 @@ class LoopOverCoordinate(Node):
 
     @staticmethod
     def get_loop_counter_name(coordinate_to_loop_over):
-        return "%s_%s" % (LoopOverCoordinate.LOOP_COUNTER_NAME_PREFIX, coordinate_to_loop_over)
+        return f"{LoopOverCoordinate.LOOP_COUNTER_NAME_PREFIX}_{coordinate_to_loop_over}"
 
     @staticmethod
     def get_block_loop_counter_name(coordinate_to_loop_over):
-        return "%s_%s" % (LoopOverCoordinate.BlOCK_LOOP_COUNTER_NAME_PREFIX, coordinate_to_loop_over)
+        return f"{LoopOverCoordinate.BlOCK_LOOP_COUNTER_NAME_PREFIX}_{coordinate_to_loop_over}"
 
     @property
     def loop_counter_name(self):
@@ -612,7 +612,7 @@ class SympyAssignment(Node):
             replacement.parent = self
             self.rhs = replacement
         else:
-            raise ValueError('%s is not in args of %s' % (replacement, self.__class__))
+            raise ValueError(f'{replacement} is not in args of {self.__class__}')
 
     def __repr__(self):
         return repr(self.lhs) + " ← " + repr(self.rhs)
@@ -620,7 +620,7 @@ class SympyAssignment(Node):
     def _repr_html_(self):
         printed_lhs = sp.latex(self.lhs)
         printed_rhs = sp.latex(self.rhs)
-        return "${printed_lhs} \\leftarrow {printed_rhs}$".format(printed_lhs=printed_lhs, printed_rhs=printed_rhs)
+        return f"${printed_lhs} \\leftarrow {printed_rhs}$"
 
     def __hash__(self):
         return hash((self.lhs, self.rhs))
@@ -663,7 +663,7 @@ class ResolvedFieldAccess(sp.Indexed):
 
     def __str__(self):
         top = super(ResolvedFieldAccess, self).__str__()
-        return "%s (%s)" % (top, self.typed_symbol.dtype)
+        return f"{top} ({self.typed_symbol.dtype})"
 
     def __getnewargs__(self):
         return self.base, self.indices[0], self.field, self.offsets, self.idx_coordinate_values
@@ -740,7 +740,7 @@ def early_out(condition):
 
 
 def get_dummy_symbol(dtype='bool'):
-    return TypedSymbol('dummy%s' % uuid.uuid4().hex, create_type(dtype))
+    return TypedSymbol(f'dummy{uuid.uuid4().hex}', create_type(dtype))
 
 
 class SourceCodeComment(Node):

pystencils/backends/cbackend.py

@@ -158,7 +158,7 @@ class CustomCodeNode(Node):
 class PrintNode(CustomCodeNode):
     # noinspection SpellCheckingInspection
     def __init__(self, symbol_to_print):
-        code = '\nstd::cout << "%s  =  " << %s << std::endl; \n' % (symbol_to_print.name, symbol_to_print.name)
+        code = f'\nstd::cout << "{symbol_to_print.name}  =  " << {symbol_to_print.name} << std::endl; \n'
         super(PrintNode, self).__init__(code, symbols_read=[symbol_to_print], symbols_defined=set())
         self.headers.append("<iostream>")
 
@@ -203,12 +203,12 @@ class CBackend:
         return str(node)
 
     def _print_KernelFunction(self, node):
-        function_arguments = ["%s %s" % (self._print(s.symbol.dtype), s.symbol.name) for s in node.get_parameters()]
+        function_arguments = [f"{self._print(s.symbol.dtype)} {s.symbol.name}" for s in node.get_parameters()]
         launch_bounds = ""
         if self._dialect == 'cuda':
             max_threads = node.indexing.max_threads_per_block()
             if max_threads:
-                launch_bounds = "__launch_bounds__({}) ".format(max_threads)
+                launch_bounds = f"__launch_bounds__({max_threads}) "
         func_declaration = "FUNC_PREFIX %svoid %s(%s)" % (launch_bounds, node.function_name,
                                                           ", ".join(function_arguments))
         if self._signatureOnly:
@@ -222,19 +222,19 @@ class CBackend:
         return "{\n%s\n}" % (self._indent + self._indent.join(block_contents.splitlines(True)))
 
     def _print_PragmaBlock(self, node):
-        return "%s\n%s" % (node.pragma_line, self._print_Block(node))
+        return f"{node.pragma_line}\n{self._print_Block(node)}"
 
     def _print_LoopOverCoordinate(self, node):
         counter_symbol = node.loop_counter_name
-        start = "int %s = %s" % (counter_symbol, self.sympy_printer.doprint(node.start))
-        condition = "%s < %s" % (counter_symbol, self.sympy_printer.doprint(node.stop))
-        update = "%s += %s" % (counter_symbol, self.sympy_printer.doprint(node.step),)
-        loop_str = "for (%s; %s; %s)" % (start, condition, update)
+        start = f"int {counter_symbol} = {self.sympy_printer.doprint(node.start)}"
+        condition = f"{counter_symbol} < {self.sympy_printer.doprint(node.stop)}"
+        update = f"{counter_symbol} += {self.sympy_printer.doprint(node.step)}"
+        loop_str = f"for ({start}; {condition}; {update})"
 
         prefix = "\n".join(node.prefix_lines)
         if prefix:
             prefix += "\n"
-        return "%s%s\n%s" % (prefix, loop_str, self._print(node.body))
+        return f"{prefix}{loop_str}\n{self._print(node.body)}"
 
     def _print_SympyAssignment(self, node):
         if node.is_declaration:
@@ -262,7 +262,7 @@ class CBackend:
                     instr = 'maskStore' if aligned else 'maskStoreU'
                     printed_mask = self.sympy_printer.doprint(mask)
                     if self._vector_instruction_set['dataTypePrefix']['double'] == '__mm256d':
-                        printed_mask = "_mm256_castpd_si256({})".format(printed_mask)
+                        printed_mask = f"_mm256_castpd_si256({printed_mask})"
 
                 rhs_type = get_type_of_expression(node.rhs)
                 if type(rhs_type) is not VectorType:
@@ -274,7 +274,7 @@ class CBackend:
                                                                   self.sympy_printer.doprint(rhs),
                                                                   printed_mask) + ';'
             else:
-                return "%s = %s;" % (self.sympy_printer.doprint(node.lhs), self.sympy_printer.doprint(node.rhs))
+                return f"{self.sympy_printer.doprint(node.lhs)} = {self.sympy_printer.doprint(node.rhs)};"
 
     def _print_TemporaryMemoryAllocation(self, node):
         align = 64
@@ -314,7 +314,7 @@ class CBackend:
             raise ValueError("Problem with Conditional inside vectorized loop - use vec_any or vec_all")
         condition_expr = self.sympy_printer.doprint(node.condition_expr)
         true_block = self._print_Block(node.true_block)
-        result = "if (%s)\n%s " % (condition_expr, true_block)
+        result = f"if ({condition_expr})\n{true_block} "
         if node.false_block:
             false_block = self._print_Block(node.false_block)
             result += "else " + false_block
@@ -343,7 +343,7 @@ class CustomSympyPrinter(CCodePrinter):
         if expr.exp.is_integer and expr.exp.is_number and 0 < expr.exp < 8:
             return "(" + self._print(sp.Mul(*[expr.base] * expr.exp, evaluate=False)) + ")"
         elif expr.exp.is_integer and expr.exp.is_number and - 8 < expr.exp < 0:
-            return "1 / ({})".format(self._print(sp.Mul(*[expr.base] * (-expr.exp), evaluate=False)))
+            return f"1 / ({self._print(sp.Mul(*([expr.base] * -expr.exp), evaluate=False))})"
         else:
             return super(CustomSympyPrinter, self)._print_Pow(expr)
 
@@ -362,10 +362,10 @@ class CustomSympyPrinter(CCodePrinter):
         return result.replace("\n", "")
 
     def _print_Abs(self, expr):
-        if expr.is_integer:
-            return 'abs({0})'.format(self._print(expr.args[0]))
+        if expr.args[0].is_integer:
+            return f'abs({self._print(expr.args[0])})'
         else:
-            return 'fabs({0})'.format(self._print(expr.args[0]))
+            return f'fabs({self._print(expr.args[0])})'
 
     def _print_Type(self, node):
         return str(node)
@@ -382,37 +382,37 @@ class CustomSympyPrinter(CCodePrinter):
             return expr.to_c(self._print)
         if isinstance(expr, reinterpret_cast_func):
             arg, data_type = expr.args
-            return "*((%s)(& %s))" % (self._print(PointerType(data_type, restrict=False)), self._print(arg))
+            return f"*(({self._print(PointerType(data_type, restrict=False))})(& {self._print(arg)}))"
         elif isinstance(expr, address_of):
             assert len(expr.args) == 1, "address_of must only have one argument"
-            return "&(%s)" % self._print(expr.args[0])
+            return f"&({self._print(expr.args[0])})"
         elif isinstance(expr, cast_func):
             arg, data_type = expr.args
             if isinstance(arg, sp.Number) and arg.is_finite:
                 return self._typed_number(arg, data_type)
             else:
-                return "((%s)(%s))" % (data_type, self._print(arg))
+                return f"(({data_type})({self._print(arg)}))"
         elif isinstance(expr, fast_division):
-            return "({})".format(self._print(expr.args[0] / expr.args[1]))
+            return f"({self._print(expr.args[0] / expr.args[1])})"
         elif isinstance(expr, fast_sqrt):
-            return "({})".format(self._print(sp.sqrt(expr.args[0])))
+            return f"({self._print(sp.sqrt(expr.args[0]))})"
         elif isinstance(expr, vec_any) or isinstance(expr, vec_all):
             return self._print(expr.args[0])
         elif isinstance(expr, fast_inv_sqrt):
-            return "({})".format(self._print(1 / sp.sqrt(expr.args[0])))
+            return f"({self._print(1 / sp.sqrt(expr.args[0]))})"
         elif isinstance(expr, sp.Abs):
-            return "abs({})".format(self._print(expr.args[0]))
+            return f"abs({self._print(expr.args[0])})"
         elif isinstance(expr, sp.Mod):
             if expr.args[0].is_integer and expr.args[1].is_integer:
-                return "({} % {})".format(self._print(expr.args[0]), self._print(expr.args[1]))
+                return f"({self._print(expr.args[0])} % {self._print(expr.args[1])})"
             else:
-                return "fmod({}, {})".format(self._print(expr.args[0]), self._print(expr.args[1]))
+                return f"fmod({self._print(expr.args[0])}, {self._print(expr.args[1])})"
         elif expr.func in infix_functions:
-            return "(%s %s %s)" % (self._print(expr.args[0]), infix_functions[expr.func], self._print(expr.args[1]))
+            return f"({self._print(expr.args[0])} {infix_functions[expr.func]} {self._print(expr.args[1])})"
         elif expr.func == int_power_of_2:
-            return "(1 << (%s))" % (self._print(expr.args[0]))
+            return f"(1 << ({self._print(expr.args[0])}))"
         elif expr.func == int_div:
-            return "((%s) / (%s))" % (self._print(expr.args[0]), self._print(expr.args[1]))
+            return f"(({self._print(expr.args[0])}) / ({self._print(expr.args[1])}))"
         else:
             name = expr.name if hasattr(expr, 'name') else expr.__class__.__name__
             arg_str = ', '.join(self._print(a) for a in expr.args)
@@ -540,14 +540,14 @@ class VectorizedCustomSympyPrinter(CustomSympyPrinter):
                 result = self.instruction_set['/'].format(self._print(expr.args[0]), self._print(expr.args[1]))
             return result
         elif expr.func == fast_sqrt:
-            return "({})".format(self._print(sp.sqrt(expr.args[0])))
+            return f"({self._print(sp.sqrt(expr.args[0]))})"
         elif expr.func == fast_inv_sqrt:
             result = self._scalarFallback('_print_Function', expr)
             if not result:
                 if self.instruction_set['rsqrt']:
                     return self.instruction_set['rsqrt'].format(self._print(expr.args[0]))
                 else:
-                    return "({})".format(self._print(1 / sp.sqrt(expr.args[0])))
+                    return f"({self._print(1 / sp.sqrt(expr.args[0]))})"
         elif isinstance(expr, vec_any):
             expr_type = get_type_of_expression(expr.args[0])
             if type(expr_type) is not VectorType:

pystencils/backends/cuda_backend.py

@@ -98,7 +98,7 @@ class CudaSympyPrinter(CustomSympyPrinter):
         if isinstance(expr, fast_division):
             return "__fdividef(%s, %s)" % tuple(self._print(a) for a in expr.args)
         elif isinstance(expr, fast_sqrt):
-            return "__fsqrt_rn(%s)" % tuple(self._print(a) for a in expr.args)
+            return f"__fsqrt_rn({tuple(self._print(a) for a in expr.args)})"
         elif isinstance(expr, fast_inv_sqrt):
-            return "__frsqrt_rn(%s)" % tuple(self._print(a) for a in expr.args)
+            return f"__frsqrt_rn({tuple(self._print(a) for a in expr.args)})"
         return super()._print_Function(expr)

pystencils/backends/dot.py

@@ -57,7 +57,7 @@ def __shortened(node):
         params = node.get_parameters()
         param_names = [p.field_name for p in params if p.is_field_pointer]
         param_names += [p.symbol.name for p in params if not p.is_field_parameter]
-        return "Func: %s (%s)" % (node.function_name, ",".join(param_names))
+        return f"Func: {node.function_name} ({','.join(param_names)})"
     elif isinstance(node, SympyAssignment):
         return repr(node.lhs)
     elif isinstance(node, Block):
@@ -65,7 +65,7 @@ def __shortened(node):
     elif isinstance(node, Conditional):
         return repr(node)
     else:
-        raise NotImplementedError("Cannot handle node type %s" % (type(node),))
+        raise NotImplementedError(f"Cannot handle node type {type(node)}")
 
 
 def print_dot(node, view=False, short=False, **kwargs):

pystencils/backends/opencl_backend.py

@@ -98,7 +98,7 @@ class OpenClSympyPrinter(CudaSympyPrinter):
         if isinstance(expr, fast_division):
             return "native_divide(%s, %s)" % tuple(self._print(a) for a in expr.args)
         elif isinstance(expr, fast_sqrt):
-            return "native_sqrt(%s)" % tuple(self._print(a) for a in expr.args)
+            return f"native_sqrt({tuple(self._print(a) for a in expr.args)})"
         elif isinstance(expr, fast_inv_sqrt):
-            return "native_rsqrt(%s)" % tuple(self._print(a) for a in expr.args)
+            return f"native_rsqrt({tuple(self._print(a) for a in expr.args)})"
         return CustomSympyPrinter._print_Function(self, expr)

pystencils/backends/simd_instruction_sets.py

@@ -51,7 +51,7 @@ def get_vector_instruction_set(data_type='double', instruction_set='avx'):
         })
 
     for comparison_op, constant in comparisons.items():
-        base_names[comparison_op] = 'cmp[0, 1, %s]' % (constant,)
+        base_names[comparison_op] = f'cmp[0, 1, {constant}]'
 
     headers = {
         'avx512': ['<immintrin.h>'],
@@ -89,16 +89,16 @@ def get_vector_instruction_set(data_type='double', instruction_set='avx'):
         name = function_shortcut[:function_shortcut.index('[')]
 
         if intrinsic_id == 'makeVecConst':
-            arg_string = "({})".format(",".join(["{0}"] * result['width']))
+            arg_string = f"({','.join(['{0}'] * result['width'])})"
         elif intrinsic_id == 'makeVec':
             params = ["{" + str(i) + "}" for i in reversed(range(result['width']))]
-            arg_string = "({})".format(",".join(params))
+            arg_string = f"({','.join(params)})"
         elif intrinsic_id == 'makeVecBool':
-            params = ["(({{{i}}} ? -1.0 : 0.0)".format(i=i) for i in reversed(range(result['width']))]
-            arg_string = "({})".format(",".join(params))
+            params = [f"(({{{i}}} ? -1.0 : 0.0)" for i in reversed(range(result['width']))]
+            arg_string = f"({','.join(params)})"
         elif intrinsic_id == 'makeVecConstBool':
             params = ["(({0}) ? -1.0 : 0.0)" for _ in range(result['width'])]
-            arg_string = "({})".format(",".join(params))
+            arg_string = f"({','.join(params)})"
         else:
             args = function_shortcut[function_shortcut.index('[') + 1: -1]
             arg_string = "("
@@ -141,9 +141,9 @@ def get_vector_instruction_set(data_type='double', instruction_set='avx'):
         result['bool'] = "__mmask%d" % (size,)
 
         params = " | ".join(["({{{i}}} ? {power} : 0)".format(i=i, power=2 ** i) for i in range(8)])
-        result['makeVecBool'] = "__mmask8(({}) )".format(params)
+        result['makeVecBool'] = f"__mmask8(({params}) )"
         params = " | ".join(["({{0}} ? {power} : 0)".format(power=2 ** i) for i in range(8)])
-        result['makeVecConstBool'] = "__mmask8(({}) )".format(params)
+        result['makeVecConstBool'] = f"__mmask8(({params}) )"
 
     if instruction_set == 'avx' and data_type == 'float':
         result['rsqrt'] = "_mm256_rsqrt_ps({0})"

pystencils/boundaries/boundaryhandling.py

@@ -66,13 +66,13 @@ class FlagInterface:
                 self._used_flags.add(flag)
                 assert self._is_power_of_2(flag)
                 return flag
-        raise ValueError("All available {} flags are reserved".format(self.max_bits))
+        raise ValueError(f"All available {self.max_bits} flags are reserved")
 
     def reserve_flag(self, flag):
         assert self._is_power_of_2(flag)
         flag = self.dtype(flag)
         if flag in self._used_flags:
-            raise ValueError("The flag {flag} is already reserved".format(flag=flag))
+            raise ValueError(f"The flag {flag} is already reserved")
         self._used_flags.add(flag)
         return flag
 
@@ -392,12 +392,12 @@ class BoundaryDataSetter:
 
     def __setitem__(self, key, value):
         if key not in self.boundary_data_names:
-            raise KeyError("Invalid boundary data name %s. Allowed are %s" % (key, self.boundary_data_names))
+            raise KeyError(f"Invalid boundary data name {key}. Allowed are {self.boundary_data_names}")
         self.index_array[key] = value
 
     def __getitem__(self, item):
         if item not in self.boundary_data_names:
-            raise KeyError("Invalid boundary data name %s. Allowed are %s" % (item, self.boundary_data_names))
+            raise KeyError(f"Invalid boundary data name {item}. Allowed are {self.boundary_data_names}")
         return self.index_array[item]
 
 
@@ -437,7 +437,7 @@ class BoundaryOffsetInfo(CustomCodeNode):
 
     @staticmethod
     def _offset_symbols(dim):
-        return [TypedSymbol("c%s" % (d,), create_type(np.int64)) for d in ['x', 'y', 'z'][:dim]]
+        return [TypedSymbol(f"c{d}", create_type(np.int64)) for d in ['x', 'y', 'z'][:dim]]
 
     INV_DIR_SYMBOL = TypedSymbol("invdir", "int")
 

pystencils/cpu/cpujit.py

@@ -362,7 +362,7 @@ def create_function_boilerplate_code(parameter_info, name, insert_checks=True):
             field = param.fields[0]
             pre_call_code += template_extract_array.format(name=field.name)
             post_call_code += template_release_buffer.format(name=field.name)
-            parameters.append("({dtype} *)buffer_{name}.buf".format(dtype=str(field.dtype), name=field.name))
+            parameters.append(f"({str(field.dtype)} *)buffer_{field.name}.buf")
 
             if insert_checks:
                 np_dtype = field.dtype.numpy_dtype
@@ -375,12 +375,12 @@ def create_function_boilerplate_code(parameter_info, name, insert_checks=True):
                     pre_call_code += template_check_array.format(cond=dtype_cond, what="data type", name=field.name,
                                                                  expected=str(field.dtype.numpy_dtype))
 
-                item_size_cond = "buffer_{name}.itemsize == {size}".format(name=field.name, size=item_size)
+                item_size_cond = f"buffer_{field.name}.itemsize == {item_size}"
                 pre_call_code += template_check_array.format(cond=item_size_cond, what="itemsize", name=field.name,
                                                              expected=item_size)
 
                 if field.has_fixed_shape:
-                    shape_cond = ["buffer_{name}.shape[{i}] == {s}".format(s=s, name=field.name, i=i)
+                    shape_cond = [f"buffer_{field.name}.shape[{i}] == {s}"
                                   for i, s in enumerate(field.spatial_shape)]
                     shape_cond = " && ".join(shape_cond)
                     pre_call_code += template_check_array.format(cond=shape_cond, what="shape", name=field.name,
@@ -403,7 +403,7 @@ def create_function_boilerplate_code(parameter_info, name, insert_checks=True):
             parameters.append("buffer_{name}.strides[{i}] / {bytes}".format(bytes=item_size, i=param.symbol.coordinate,
                                                                             name=field.name))
         elif param.is_field_shape:
-            parameters.append("buffer_{name}.shape[{i}]".format(i=param.symbol.coordinate, name=param.field_name))
+            parameters.append(f"buffer_{param.field_name}.shape[{param.symbol.coordinate}]")
         else:
             extract_function, target_type = type_mapping[param.symbol.dtype.numpy_dtype.type]
             if np.issubdtype(param.symbol.dtype.numpy_dtype, np.complexfloating):
@@ -490,8 +490,8 @@ class ExtensionModuleCode:
         includes = "\n".join(["#include %s" % (include_file,) for include_file in header_list])
         print(includes, file=file)
         print("\n", file=file)
-        print("#define RESTRICT %s" % (restrict_qualifier,), file=file)
-        print("#define FUNC_PREFIX %s" % (function_prefix,), file=file)
+        print(f"#define RESTRICT {restrict_qualifier}", file=file)
+        print(f"#define FUNC_PREFIX {function_prefix}", file=file)
         print("\n", file=file)
 
         for ast, name in zip(self._ast_nodes, self._function_names):
@@ -541,7 +541,7 @@ def compile_module(code, code_hash, base_dir):
             import sysconfig
             config_vars = sysconfig.get_config_vars()
             py_lib = os.path.join(config_vars["installed_base"], "libs",
-                                  "python{}.lib".format(config_vars["py_version_nodot"]))
+                                  f"python{config_vars['py_version_nodot']}.lib")
             run_compile_step(['link.exe', py_lib, '/DLL', '/out:' + lib_file, object_file])
         elif platform.system().lower() == 'darwin':
             with atomic_file_write(lib_file) as file_name:

pystencils/cpu/kernelcreation.py

@@ -129,7 +129,7 @@ def create_indexed_kernel(assignments: AssignmentOrAstNodeList, index_fields, fu
                 rhs = idx_field[0](name)
                 lhs = TypedSymbol(name, BasicType(data_type.get_element_type(name)))
                 return SympyAssignment(lhs, rhs)
-        raise ValueError("Index %s not found in any of the passed index fields" % (name,))
+        raise ValueError(f"Index {name} not found in any of the passed index fields")
 
     coordinate_symbol_assignments = [get_coordinate_symbol_assignment(n)
                                      for n in coordinate_names[:spatial_coordinates]]
@@ -173,7 +173,7 @@ def add_openmp(ast_node, schedule="static", num_threads=True, collapse=None, ass
 
     assert type(ast_node) is ast.KernelFunction
     body = ast_node.body
-    threads_clause = "" if num_threads and isinstance(num_threads, bool) else " num_threads(%s)" % (num_threads,)
+    threads_clause = "" if num_threads and isinstance(num_threads, bool) else f" num_threads({num_threads})"
     wrapper_block = ast.PragmaBlock('#pragma omp parallel' + threads_clause, body.take_child_nodes())
     body.append(wrapper_block)
 
@@ -204,7 +204,7 @@ def add_openmp(ast_node, schedule="static", num_threads=True, collapse=None, ass
                 except TypeError:
                     pass
 
-        prefix = "#pragma omp for schedule(%s)" % (schedule,)
+        prefix = f"#pragma omp for schedule({schedule})"
         if collapse:
             prefix += " collapse(%d)" % (collapse, )
         loop_to_parallelize.prefix_lines.append(prefix)

pystencils/cpu/msvc_detection.py

@@ -71,7 +71,7 @@ def normalize_msvc_version(version):
 
 def get_environment_from_vc_vars_file(vc_vars_file, arch):
     out = subprocess.check_output(
-        'cmd /u /c "{}" {} && set'.format(vc_vars_file, arch),
+        f'cmd /u /c "{vc_vars_file}" {arch} && set',
         stderr=subprocess.STDOUT,
     ).decode('utf-16le', errors='replace')
 

pystencils/cpu/vectorization.py

@@ -115,7 +115,7 @@ def vectorize_inner_loops_and_adapt_load_stores(ast_node, vector_width, assume_a
                     break
                 typed_symbol = base.label
                 assert type(typed_symbol.dtype) is PointerType, \
-                    "Type of access is {}, {}".format(typed_symbol.dtype, indexed)
+                    f"Type of access is {typed_symbol.dtype}, {indexed}"
 
                 vec_type = VectorType(typed_symbol.dtype.base_type, vector_width)
                 use_aligned_access = aligned_access and assume_aligned

pystencils/data_types.py

@@ -396,7 +396,7 @@ def ctypes_from_llvm(data_type):
     elif isinstance(data_type, ir.VoidType):
         return None  # Void type is not supported by ctypes
     else:
-        raise NotImplementedError('Data type %s of %s is not supported yet' % (type(data_type), data_type))
+        raise NotImplementedError(f'Data type {type(data_type)} of {data_type} is not supported yet')
 
 
 def to_llvm_type(data_type, nvvm_target=False):
@@ -603,7 +603,7 @@ class BasicType(Type):
         elif name == 'bool':
             return 'bool'
         else:
-            raise NotImplementedError("Can map numpy to C name for %s" % (name,))
+            raise NotImplementedError(f"Can map numpy to C name for {name}")
 
     def __init__(self, dtype, const=False):
         self.const = const

pystencils/datahandling/parallel_datahandling.py

@@ -383,7 +383,7 @@ class ParallelDataHandling(DataHandling):
         if not os.path.exists(directory):
             os.mkdir(directory)
         if os.path.isfile(directory):
-            raise RuntimeError("Trying to save to {}, but file exists already".format(directory))
+            raise RuntimeError(f"Trying to save to {directory}, but file exists already")
 
         for field_name, data_name in self._field_name_to_cpu_data_name.items():
             self.blocks.writeBlockData(data_name, os.path.join(directory, field_name + ".dat"))

pystencils/datahandling/serial_datahandling.py

@@ -407,7 +407,7 @@ class SerialDataHandling(DataHandling):
 
         time_running = time.perf_counter() - self._start_time
         spacing = 7 - len(str(int(time_running)))
-        message = "[{: <8}]{}({:.3f} sec) {} ".format(level, spacing * '-', time_running, message)
+        message = f"[{level: <8}]{spacing * '-'}({time_running:.3f} sec) {message} "
         print(message, flush=True)
 
     def log_on_root(self, *args, level='INFO'):
@@ -428,7 +428,7 @@ class SerialDataHandling(DataHandling):
         file_contents = np.load(file)
         for arr_name, arr_contents in self.cpu_arrays.items():
             if arr_name not in file_contents:
-                print("Skipping read data {} because there is no data with this name in data handling".format(arr_name))
+                print(f"Skipping read data {arr_name} because there is no data with this name in data handling")
                 continue
             if file_contents[arr_name].shape != arr_contents.shape:
                 print("Skipping read data {} because shapes don't match. "

pystencils/display_utils.py

@@ -30,7 +30,7 @@ def highlight_cpp(code: str):