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-rw-r--r--Doc/tutorial/stdlib2.rst8
1 files changed, 4 insertions, 4 deletions
diff --git a/Doc/tutorial/stdlib2.rst b/Doc/tutorial/stdlib2.rst
index a06a20b..f581972 100644
--- a/Doc/tutorial/stdlib2.rst
+++ b/Doc/tutorial/stdlib2.rst
@@ -174,7 +174,7 @@ tasks in background while the main program continues to run::
class AsyncZip(threading.Thread):
def __init__(self, infile, outfile):
- threading.Thread.__init__(self)
+ threading.Thread.__init__(self)
self.infile = infile
self.outfile = outfile
def run(self):
@@ -358,11 +358,11 @@ For example, calculating a 5% tax on a 70 cent phone charge gives different
results in decimal floating point and binary floating point. The difference
becomes significant if the results are rounded to the nearest cent::
- >>> from decimal import *
+ >>> from decimal import *
>>> Decimal('0.70') * Decimal('1.05')
Decimal("0.7350")
>>> .70 * 1.05
- 0.73499999999999999
+ 0.73499999999999999
The :class:`Decimal` result keeps a trailing zero, automatically inferring four
place significance from multiplicands with two place significance. Decimal
@@ -380,7 +380,7 @@ calculations and equality tests that are unsuitable for binary floating point::
>>> sum([Decimal('0.1')]*10) == Decimal('1.0')
True
>>> sum([0.1]*10) == 1.0
- False
+ False
The :mod:`decimal` module provides arithmetic with as much precision as needed::