gh-71966: Move the module docstring from _pydecimal to decimal (GH-117919)

Now it is set even if the C implementation is used.

Also add a one-line synopsis.

Lib/_pydecimal.py

@@ -13,104 +13,7 @@
 # bug) and will be backported.  At this point the spec is stabilizing
 # and the updates are becoming fewer, smaller, and less significant.
 
-"""
-This is an implementation of decimal floating point arithmetic based on
-the General Decimal Arithmetic Specification:
-
-    http://speleotrove.com/decimal/decarith.html
-
-and IEEE standard 854-1987:
-
-    http://en.wikipedia.org/wiki/IEEE_854-1987
-
-Decimal floating point has finite precision with arbitrarily large bounds.
-
-The purpose of this module is to support arithmetic using familiar
-"schoolhouse" rules and to avoid some of the tricky representation
-issues associated with binary floating point.  The package is especially
-useful for financial applications or for contexts where users have
-expectations that are at odds with binary floating point (for instance,
-in binary floating point, 1.00 % 0.1 gives 0.09999999999999995 instead
-of 0.0; Decimal('1.00') % Decimal('0.1') returns the expected
-Decimal('0.00')).
-
-Here are some examples of using the decimal module:
-
->>> from decimal import *
->>> setcontext(ExtendedContext)
->>> Decimal(0)
-Decimal('0')
->>> Decimal('1')
-Decimal('1')
->>> Decimal('-.0123')
-Decimal('-0.0123')
->>> Decimal(123456)
-Decimal('123456')
->>> Decimal('123.45e12345678')
-Decimal('1.2345E+12345680')
->>> Decimal('1.33') + Decimal('1.27')
-Decimal('2.60')
->>> Decimal('12.34') + Decimal('3.87') - Decimal('18.41')
-Decimal('-2.20')
->>> dig = Decimal(1)
->>> print(dig / Decimal(3))
-0.333333333
->>> getcontext().prec = 18
->>> print(dig / Decimal(3))
-0.333333333333333333
->>> print(dig.sqrt())
-1
->>> print(Decimal(3).sqrt())
-1.73205080756887729
->>> print(Decimal(3) ** 123)
-4.85192780976896427E+58
->>> inf = Decimal(1) / Decimal(0)
->>> print(inf)
-Infinity
->>> neginf = Decimal(-1) / Decimal(0)
->>> print(neginf)
--Infinity
->>> print(neginf + inf)
-NaN
->>> print(neginf * inf)
--Infinity
->>> print(dig / 0)
-Infinity
->>> getcontext().traps[DivisionByZero] = 1
->>> print(dig / 0)
-Traceback (most recent call last):
-  ...
-  ...
-  ...
-decimal.DivisionByZero: x / 0
->>> c = Context()
->>> c.traps[InvalidOperation] = 0
->>> print(c.flags[InvalidOperation])
-0
->>> c.divide(Decimal(0), Decimal(0))
-Decimal('NaN')
->>> c.traps[InvalidOperation] = 1
->>> print(c.flags[InvalidOperation])
-1
->>> c.flags[InvalidOperation] = 0
->>> print(c.flags[InvalidOperation])
-0
->>> print(c.divide(Decimal(0), Decimal(0)))
-Traceback (most recent call last):
-  ...
-  ...
-  ...
-decimal.InvalidOperation: 0 / 0
->>> print(c.flags[InvalidOperation])
-1
->>> c.flags[InvalidOperation] = 0
->>> c.traps[InvalidOperation] = 0
->>> print(c.divide(Decimal(0), Decimal(0)))
-NaN
->>> print(c.flags[InvalidOperation])
-1
->>>
-"""
+"""Python decimal arithmetic module"""
 
 __all__ = [
     # Two major classes

Lib/decimal.py

@@ -1,11 +1,108 @@
+"""Decimal fixed point and floating point arithmetic.
+
+This is an implementation of decimal floating point arithmetic based on
+the General Decimal Arithmetic Specification:
+
+    http://speleotrove.com/decimal/decarith.html
+
+and IEEE standard 854-1987:
+
+    http://en.wikipedia.org/wiki/IEEE_854-1987
+
+Decimal floating point has finite precision with arbitrarily large bounds.
+
+The purpose of this module is to support arithmetic using familiar
+"schoolhouse" rules and to avoid some of the tricky representation
+issues associated with binary floating point.  The package is especially
+useful for financial applications or for contexts where users have
+expectations that are at odds with binary floating point (for instance,
+in binary floating point, 1.00 % 0.1 gives 0.09999999999999995 instead
+of 0.0; Decimal('1.00') % Decimal('0.1') returns the expected
+Decimal('0.00')).
+
+Here are some examples of using the decimal module:
+
+>>> from decimal import *
+>>> setcontext(ExtendedContext)
+>>> Decimal(0)
+Decimal('0')
+>>> Decimal('1')
+Decimal('1')
+>>> Decimal('-.0123')
+Decimal('-0.0123')
+>>> Decimal(123456)
+Decimal('123456')
+>>> Decimal('123.45e12345678')
+Decimal('1.2345E+12345680')
+>>> Decimal('1.33') + Decimal('1.27')
+Decimal('2.60')
+>>> Decimal('12.34') + Decimal('3.87') - Decimal('18.41')
+Decimal('-2.20')
+>>> dig = Decimal(1)
+>>> print(dig / Decimal(3))
+0.333333333
+>>> getcontext().prec = 18
+>>> print(dig / Decimal(3))
+0.333333333333333333
+>>> print(dig.sqrt())
+1
+>>> print(Decimal(3).sqrt())
+1.73205080756887729
+>>> print(Decimal(3) ** 123)
+4.85192780976896427E+58
+>>> inf = Decimal(1) / Decimal(0)
+>>> print(inf)
+Infinity
+>>> neginf = Decimal(-1) / Decimal(0)
+>>> print(neginf)
+-Infinity
+>>> print(neginf + inf)
+NaN
+>>> print(neginf * inf)
+-Infinity
+>>> print(dig / 0)
+Infinity
+>>> getcontext().traps[DivisionByZero] = 1
+>>> print(dig / 0)
+Traceback (most recent call last):
+  ...
+  ...
+  ...
+decimal.DivisionByZero: x / 0
+>>> c = Context()
+>>> c.traps[InvalidOperation] = 0
+>>> print(c.flags[InvalidOperation])
+0
+>>> c.divide(Decimal(0), Decimal(0))
+Decimal('NaN')
+>>> c.traps[InvalidOperation] = 1
+>>> print(c.flags[InvalidOperation])
+1
+>>> c.flags[InvalidOperation] = 0
+>>> print(c.flags[InvalidOperation])
+0
+>>> print(c.divide(Decimal(0), Decimal(0)))
+Traceback (most recent call last):
+  ...
+  ...
+  ...
+decimal.InvalidOperation: 0 / 0
+>>> print(c.flags[InvalidOperation])
+1
+>>> c.flags[InvalidOperation] = 0
+>>> c.traps[InvalidOperation] = 0
+>>> print(c.divide(Decimal(0), Decimal(0)))
+NaN
+>>> print(c.flags[InvalidOperation])
+1
+>>>
+"""
 
 try:
     from _decimal import *
-    from _decimal import __doc__
     from _decimal import __version__
     from _decimal import __libmpdec_version__
 except ImportError:
     from _pydecimal import *
-    from _pydecimal import __doc__
     from _pydecimal import __version__
     from _pydecimal import __libmpdec_version__