Date: 18 July, 2023
Model: gpt-4
Temperature: 0.2
Passing runs: 10
Total runs: 10
Success rate: 100%
Tokens: 101
def median(l: list):
"""Return median of elements in the list l.
>>> median([3, 1, 2, 4, 5])
3
>>> median([-10, 4, 6, 1000, 10, 20])
15.0
"""
The above is an incomplete Python code fragment. Return the complete and correct code with no additional text.
def median(l: list):
"""Return median of elements in the list l.
>>> median([3, 1, 2, 4, 5])
3
>>> median([-10, 4, 6, 1000, 10, 20])
15.0
"""l = sorted(l)
if len(l) % 2 == 1:
return l[len(l) // 2]
else:
return (l[len(l) // 2 - 1] + l[len(l) // 2]) / 2.0
METADATA = {}
def check(candidate):
assert candidate([3, 1, 2, 4, 5]) == 3
assert candidate([-10, 4, 6, 1000, 10, 20]) == 8.0
assert candidate([5]) == 5
assert candidate([6, 5]) == 5.5
assert candidate([8, 1, 3, 9, 9, 2, 7]) == 7
Start time: 2023-07-18 18:39:16
Duration: 9.41s
Completion tokens: 127
Result: Pass
def median(l: list):
"""Return median of elements in the list l.
>>> median([3, 1, 2, 4, 5])
3
>>> median([-10, 4, 6, 1000, 10, 20])
15.0
"""
l.sort()
length = len(l)
if length % 2 == 0:
return (l[length // 2] + l[length // 2 - 1]) / 2
else:
return l[length // 2]
Start time: 2023-07-18 18:39:05
Duration: 10.36s
Completion tokens: 136
Result: Pass
def median(l: list):
"""Return median of elements in the list l.
>>> median([3, 1, 2, 4, 5])
3
>>> median([-10, 4, 6, 1000, 10, 20])
15.0
"""
l.sort()
n = len(l)
m = n - 1
if (n % 2):
return l[int((m)/2)]
else:
return (l[int(m/2)] + l[int((m/2) + 1)]) / 2
Start time: 2023-07-18 18:38:54
Duration: 10.68s
Completion tokens: 127
Result: Pass
def median(l: list):
"""Return median of elements in the list l.
>>> median([3, 1, 2, 4, 5])
3
>>> median([-10, 4, 6, 1000, 10, 20])
15.0
"""
l.sort()
length = len(l)
if length % 2 == 0:
return (l[length // 2] + l[length // 2 - 1]) / 2
else:
return l[length // 2]
Start time: 2023-07-18 18:38:44
Duration: 10.72s
Completion tokens: 136
Result: Pass
def median(l: list):
"""Return median of elements in the list l.
>>> median([3, 1, 2, 4, 5])
3
>>> median([-10, 4, 6, 1000, 10, 20])
15.0
"""
l.sort()
n = len(l)
m = n - 1
if (n % 2):
return l[int((m)/2)]
else:
return (l[int(m/2)] + l[int((m/2) + 1)]) / 2
Start time: 2023-07-18 18:38:34
Duration: 9.4s
Completion tokens: 136
Result: Pass
def median(l: list):
"""Return median of elements in the list l.
>>> median([3, 1, 2, 4, 5])
3
>>> median([-10, 4, 6, 1000, 10, 20])
15.0
"""
l.sort()
n = len(l)
m = n - 1
if (n % 2):
return l[int((m)/2)]
else:
return (l[int(m/2)] + l[int((m/2) + 1)]) / 2
Start time: 2023-07-18 18:38:24
Duration: 10.45s
Completion tokens: 127
Result: Pass
def median(l: list):
"""Return median of elements in the list l.
>>> median([3, 1, 2, 4, 5])
3
>>> median([-10, 4, 6, 1000, 10, 20])
15.0
"""
l.sort()
length = len(l)
if length % 2 == 0:
return (l[length // 2] + l[length // 2 - 1]) / 2
else:
return l[length // 2]
Start time: 2023-07-18 18:38:09
Duration: 14.9s
Completion tokens: 137
Result: Pass
def median(l: list):
"""Return median of elements in the list l.
>>> median([3, 1, 2, 4, 5])
3
>>> median([-10, 4, 6, 1000, 10, 20])
15.0
"""
l.sort()
n = len(l)
m = n - 1
if (n % 2):
return l[int((m)/2)]
else:
return (l[int((m)/2)] + l[int((m)/2) + 1])/2.0
Start time: 2023-07-18 18:37:59
Duration: 9.69s
Completion tokens: 127
Result: Pass
def median(l: list):
"""Return median of elements in the list l.
>>> median([3, 1, 2, 4, 5])
3
>>> median([-10, 4, 6, 1000, 10, 20])
15.0
"""
l.sort()
length = len(l)
if length % 2 == 0:
return (l[length // 2] + l[length // 2 - 1]) / 2
else:
return l[length // 2]
Start time: 2023-07-18 18:37:48
Duration: 10.96s
Completion tokens: 127
Result: Pass
def median(l: list):
"""Return median of elements in the list l.
>>> median([3, 1, 2, 4, 5])
3
>>> median([-10, 4, 6, 1000, 10, 20])
15.0
"""
l.sort()
length = len(l)
if length % 2 == 0:
return (l[length // 2] + l[length // 2 - 1]) / 2
else:
return l[length // 2]
Start time: 2023-07-18 18:37:38
Duration: 9.59s
Completion tokens: 136
Result: Pass
def median(l: list):
"""Return median of elements in the list l.
>>> median([3, 1, 2, 4, 5])
3
>>> median([-10, 4, 6, 1000, 10, 20])
15.0
"""
l.sort()
n = len(l)
m = n - 1
if (n % 2):
return l[int((m)/2)]
else:
return (l[int(m/2)] + l[int((m/2) + 1)]) / 2