drop python<=3.7 support

docs/conf.py

@@ -1,4 +1,3 @@
-# -*- coding: utf-8 -*-
 #
 # Pythran documentation build configuration file, created by
 # sphinx-quickstart on Wed Feb 19 20:57:04 2014.
@@ -141,8 +140,8 @@ def dump_entry(entry_name, entry_value, depth):
 master_doc = 'index'
 
 # General information about the project.
-project = u'Pythran'
-copyright = u'2014, Serge Guelton, Pierrick Brunet et al.'
+project = 'Pythran'
+copyright = '2014, Serge Guelton, Pierrick Brunet et al.'
 
 # The version info for the project you're documenting, acts as replacement for
 # |version| and |release|, also used in various other places throughout the

docs/papers/iop2014/xp/numba/nqueens.py

@@ -43,8 +43,8 @@ def n_queens(queen_count):
     cols = range(queen_count)
     #for vec in permutations(cols):
     for vec in permutations(cols,None):
-        if (queen_count == len(set(vec[i]+i for i in cols))
-                        == len(set(vec[i]-i for i in cols))):
+        if (queen_count == len({vec[i]+i for i in cols})
+                        == len({vec[i]-i for i in cols})):
             #yield vec
             out.append(vec)
     return out

docs/papers/iop2014/xp/parsetab.py

@@ -1,4 +1,3 @@
-
 # parsetab.py
 # This file is automatically generated. Do not edit.
 _tabversion = '3.2'

docs/papers/iop2014/xp/pypy/nqueens.py

@@ -43,8 +43,8 @@ def n_queens(queen_count):
     cols = range(queen_count)
     #for vec in permutations(cols):
     for vec in permutations(cols,None):
-        if (queen_count == len(set(vec[i]+i for i in cols))
-                        == len(set(vec[i]-i for i in cols))):
+        if (queen_count == len({vec[i]+i for i in cols})
+                        == len({vec[i]-i for i in cols})):
             #yield vec
             out.append(vec)
     return out

docs/papers/iop2014/xp/python/nqueens.py

@@ -43,8 +43,8 @@ def n_queens(queen_count):
     cols = range(queen_count)
     #for vec in permutations(cols):
     for vec in permutations(cols,None):
-        if (queen_count == len(set(vec[i]+i for i in cols))
-                        == len(set(vec[i]-i for i in cols))):
+        if (queen_count == len({vec[i]+i for i in cols})
+                        == len({vec[i]-i for i in cols})):
             #yield vec
             out.append(vec)
     return out

docs/papers/iop2014/xp/pythran/nqueens.py

@@ -43,8 +43,8 @@ def n_queens(queen_count):
     cols = range(queen_count)
     #for vec in permutations(cols):
     for vec in permutations(cols,None):
-        if (queen_count == len(set(vec[i]+i for i in cols))
-                        == len(set(vec[i]-i for i in cols))):
+        if (queen_count == len({vec[i]+i for i in cols})
+                        == len({vec[i]-i for i in cols})):
             #yield vec
             out.append(vec)
     return out

docs/papers/sc2013/bench/pythran/parsetab.py

@@ -1,4 +1,3 @@
-
 # parsetab.py
 # This file is automatically generated. Do not edit.
 _tabversion = '3.2'

docs/papers/sc2013/bench/pythran/wave_.py

@@ -17,10 +17,10 @@ def calculate_u(dt, dx, dy, u, um, k):
         for j in xrange(1, u.shape[1]-1):
             up[i,j] = 2*u[i,j] - um[i,j] + \
                 (dt/dx)**2*(
-                        (0.5*(k[i+1,j] + k[i,j])*(u[i+1,j] - u[i,j]) -
-                            0.5*(k[i,j] + k[i-1,j])*(u[i,j] - u[i-1,j]))) + \
+                        0.5*(k[i+1,j] + k[i,j])*(u[i+1,j] - u[i,j]) -
+                            0.5*(k[i,j] + k[i-1,j])*(u[i,j] - u[i-1,j])) + \
                         (dt/dy)**2*(
-                                (0.5*(k[i,j+1] + k[i,j])*(u[i,j+1] - u[i,j]) -
-                                    0.5*(k[i,j] + k[i,j-1])*(u[i,j] - u[i,j-1])))
+                                0.5*(k[i,j+1] + k[i,j])*(u[i,j+1] - u[i,j]) -
+                                    0.5*(k[i,j] + k[i,j-1])*(u[i,j] - u[i,j-1]))
     return up
 

docs/papers/sc2013/bench/run_all.py

@@ -25,19 +25,19 @@
                     os.path.basename(candidate))
             # pythran
             runas_commands = runas[0].replace('#runas', '').split(";")
-            runas_context = ";".join(["import {0}".format(
+            runas_context = ";".join(["import {}".format(
                             module_name)] + runas_commands[:-1])
-            runas_command = "{0}.{1}".format(module_name,
+            runas_command = "{}.{}".format(module_name,
                             runas_commands[-1])
 
             ti = timeit.Timer(runas_command, runas_context)
             timing = median(ti.repeat(nb_iter, number=1))
             print module_name, timing, 
 
             # pythran + omp
-            runas_context = ";".join(["import {0}_omp".format(
+            runas_context = ";".join(["import {}_omp".format(
                             module_name)] + runas_commands[:-1])
-            runas_command = "{0}_omp.{1}".format(module_name,
+            runas_command = "{}_omp.{}".format(module_name,
                             runas_commands[-1])
 
             ti = timeit.Timer(runas_command, runas_context)
@@ -46,19 +46,19 @@
 
             #cython
             runas_commands = runas[0].replace('#runas', '').split(";")
-            runas_context = ";".join(["import c{0}".format(
+            runas_context = ";".join(["import c{}".format(
                             module_name)] + runas_commands[:-1])
-            runas_command = "c{0}.{1}".format(module_name,
+            runas_command = "c{}.{}".format(module_name,
                             runas_commands[-1])
 
             ti = timeit.Timer(runas_command, runas_context)
             timing = median(ti.repeat(nb_iter, number=1))
             print  timing,
 
             # cython + omp
-            runas_context = ";".join(["import c{0}_omp".format(
+            runas_context = ";".join(["import c{}_omp".format(
                             module_name)] + runas_commands[:-1])
-            runas_command = "c{0}_omp.{1}".format(module_name,
+            runas_command = "c{}_omp.{}".format(module_name,
                             runas_commands[-1])
 
             ti = timeit.Timer(runas_command, runas_context)

docs/papers/sc2013/bench/run_hyantes.py

@@ -21,9 +21,9 @@
                 os.path.basename(candidate))
         # pythran + omp
         runas_commands = runas[0].replace('#runas', '').split(";")
-        runas_context = ";".join(["import {0}_omp".format(
+        runas_context = ";".join(["import {}_omp".format(
                         module_name)] + runas_commands[:-1])
-        runas_command = "{0}_omp.{1}".format(module_name,
+        runas_command = "{}_omp.{}".format(module_name,
                         runas_commands[-1])
 
         ti = timeit.Timer(runas_command, runas_context)

docs/papers/sc2013/hyantes.py

@@ -8,14 +8,14 @@ def run():
     with file('Rhone-alpesXYLongLat_pop.txt') as data_in:
         towns = []
         for line in data_in:
-            lat, lon, val = [x for x in line.split('\t') if x]
+            lat, lon, val = (x for x in line.split('\t') if x)
             towns.append((float(lat)*pi/180, float(lon)*pi/180, float(val)))
         towns = array(towns)
     grid = hyantes_core.run(1.1*pi/180., 32*pi/180, 4*pi/180, 35*pi/180, 0.01*pi/180, 40, 290, 299, towns)
     with file('out', 'w') as data_out:
         for i in xrange(290):
             for j in xrange(299):
-                data_out.write("{0} {1} {2}\n".format( grid[i,j,0], grid[i,j,1], grid[i,j,2]) )
+                data_out.write(f"{grid[i,j,0]} {grid[i,j,1]} {grid[i,j,2]}\n" )
             data_out.write('\n')
     #gnuplot -persist -e "set pm3d map; set size ratio 1; splot 'out'
 if __name__ == '__main__':

docs/papers/sc2013/parsetab.py

@@ -1,4 +1,3 @@
-
 # parsetab.py
 # This file is automatically generated. Do not edit.
 _tabversion = '3.2'

docs/papers/sc2013/pythranmagic.py

@@ -20,7 +20,7 @@
 class PythranMagics(Magics):
 
     def __init__(self, shell):
-        super(PythranMagics,self).__init__(shell)
+        super().__init__(shell)
         self._reloads = {}
 
     def _import_all(self, module):

omp/__init__.py

@@ -82,7 +82,7 @@ def msvc_runtime_major():
     return major
 
 
-class OpenMP(object):
+class OpenMP:
 
     """
     Internal representation of the OpenMP module.

pyproject.toml

@@ -3,7 +3,7 @@ name = "pythran"
 authors = [{name="Serge Guelton", email="[email protected]"}]
 license = {file = "LICENSE"}
 description = "Ahead of Time compiler for numeric kernels"
-requires-python = ">=3.7"
+requires-python = ">=3.8"
 classifiers=[
   'Development Status :: 4 - Beta',
   'Environment :: Console',

pythran/analyses/aliases.py

@@ -22,7 +22,7 @@ class UnboundIdentifierError(RuntimeError):
     pass
 
 
-class DictLayer(object):
+class DictLayer:
     def __init__(self, base, layer=None):
         self.base = base
         self.layer = dict() if layer is None else layer
@@ -40,7 +40,7 @@ def get(self, key, default=None):
         return self.layer.get(key, self.base.get(key, default))
 
 
-class ContainerOf(object):
+class ContainerOf:
     '''
     Represents a container of something
 
@@ -84,15 +84,15 @@ class Aliases(ModuleAnalysis):
     def __init__(self):
         self.result = dict()
         self.aliases = None
-        super(Aliases, self).__init__(GlobalDeclarations)
+        super().__init__(GlobalDeclarations)
 
     @staticmethod
     def dump(result, filter=None):
         def pp(n):
             output = io.StringIO()
             if isinstance(n, ContainerOf):
                 if n.index == n.index:  # always valid except for UnknownIndex
-                    output.write('[{}]='.format(n.index))
+                    output.write(f'[{n.index}]=')
                 containees = sorted(map(pp, n.containees))
                 output.write(', '.join(map("|{}|".format, containees)))
             else:
@@ -102,7 +102,7 @@ def pp(n):
         if isinstance(result, dict):
             for k, v in result.items():
                 if (filter is None) or isinstance(k, filter):
-                    print('{} => {}'.format(pp(k), sorted(map(pp, v))))
+                    print(f'{pp(k)} => {sorted(map(pp, v))}')
         elif isinstance(result, (frozenset, set)):
             print(sorted(map(pp, result)))
 

pythran/analyses/ancestors.py

@@ -16,12 +16,12 @@ class Ancestors(ModuleAnalysis):
     def __init__(self):
         self.result = dict()
         self.current = tuple()
-        super(Ancestors, self).__init__()
+        super().__init__()
 
     def generic_visit(self, node):
         self.result[node] = current = self.current
         self.current += node,
-        super(Ancestors, self).generic_visit(node)
+        super().generic_visit(node)
         self.current = current
 
     visit = generic_visit

pythran/analyses/argument_effects.py

@@ -13,7 +13,7 @@
 from functools import reduce
 
 
-class FunctionEffects(object):
+class FunctionEffects:
     def __init__(self, node):
         self.func = node
         if isinstance(node, ast.FunctionDef):
@@ -57,7 +57,7 @@ def __init__(self):
         # modified by src
         self.result = DiGraph()
         self.node_to_functioneffect = {}
-        super(ArgumentEffects, self).__init__(Aliases, GlobalDeclarations,
+        super().__init__(Aliases, GlobalDeclarations,
                                               Intrinsics)
 
     def prepare(self, node):
@@ -67,7 +67,7 @@ def prepare(self, node):
         Initialisation done for Pythonic functions and default value set for
         user defined functions.
         """
-        super(ArgumentEffects, self).prepare(node)
+        super().prepare(node)
         for i in self.intrinsics:
             fe = IntrinsicArgumentEffects[i]
             self.node_to_functioneffect[i] = fe
@@ -79,7 +79,7 @@ def prepare(self, node):
             self.result.add_node(fe)
 
     def run(self, node):
-        result = super(ArgumentEffects, self).run(node)
+        result = super().run(node)
         candidates = set(result)
         while candidates:
             function = candidates.pop()

pythran/analyses/argument_read_once.py

@@ -23,7 +23,7 @@ class ArgumentReadOnce(ModuleAnalysis):
         FunctionDef ast node to function effect binding.
     """
 
-    class FunctionEffects(object):
+    class FunctionEffects:
         def __init__(self, node):
             self.func = node
             self.dependencies = lambda ctx: 0
@@ -38,13 +38,13 @@ def __init__(self, node):
             else:
                 raise NotImplementedError
 
-    class ConstructorEffects(object):
+    class ConstructorEffects:
         def __init__(self, node):
             self.func = node
             self.dependencies = lambda ctx: 0
             self.read_effects = [0]
 
-    class Context(object):
+    class Context:
         def __init__(self, function, index, path, global_dependencies):
             self.function = function
             self.index = index
@@ -55,7 +55,7 @@ def __init__(self):
         """ Basic initialiser for class attributes. """
         self.result = set()
         self.node_to_functioneffect = dict()
-        super(ArgumentReadOnce, self).__init__(Aliases, GlobalDeclarations)
+        super().__init__(Aliases, GlobalDeclarations)
 
     def prepare(self, node):
         """
@@ -64,7 +64,7 @@ def prepare(self, node):
         Initialisation done for Pythonic functions and default values set for
         user defined functions.
         """
-        super(ArgumentReadOnce, self).prepare(node)
+        super().prepare(node)
         # global functions init
         for n in self.global_declarations.values():
             fe = ArgumentReadOnce.FunctionEffects(n)
@@ -88,7 +88,7 @@ def save_effect(module):
             save_effect(module)
 
     def run(self, node):
-        result = super(ArgumentReadOnce, self).run(node)
+        result = super().run(node)
         for fun in result:
             for i in range(len(fun.read_effects)):
                 self.recursive_weight(fun, i, set())

pythran/analyses/ast_matcher.py

@@ -21,7 +21,7 @@ def __init__(self, identifier, type=None, constraint=None):
         self.id = identifier
         self.type = type
         self.constraint = constraint
-        super(Placeholder, self).__init__()
+        super().__init__()
 
 
 class AST_any(AST):
@@ -43,7 +43,7 @@ class AST_or(AST):
     def __init__(self, *args):
         """ Initialiser to keep track of arguments. """
         self.args = args
-        super(AST_or, self).__init__()
+        super().__init__()
 
 
 class Check(NodeVisitor):
@@ -207,7 +207,7 @@ def __init__(self, pattern):
         """ Basic initialiser saving pattern and initialising result set. """
         self.pattern = pattern
         self.result = set()
-        super(ASTMatcher, self).__init__()
+        super().__init__()
 
     def visit(self, node):
         """

pythran/analyses/cfg.py

@@ -37,7 +37,7 @@ class CFG(FunctionAnalysis):
 
     def __init__(self):
         self.result = DiGraph()
-        super(CFG, self).__init__()
+        super().__init__()
 
     def visit_FunctionDef(self, node):
         """OUT = node, RAISES = ()"""

pythran/analyses/constant_expressions.py

@@ -17,7 +17,7 @@ class ConstantExpressions(NodeAnalysis):
 
     def __init__(self):
         self.result = set()
-        super(ConstantExpressions, self).__init__(Globals, Locals, Aliases,
+        super().__init__(Globals, Locals, Aliases,
                                                   PureFunctions)
 
     def add(self, node):

pythran/analyses/dependencies.py

@@ -61,7 +61,7 @@ class Dependencies(ModuleAnalysis):
 
     def __init__(self):
         self.result = set()
-        super(Dependencies, self).__init__()
+        super().__init__()
 
     def visit_List(self, node):
         self.result.add(('builtins', 'list'))