Dataset Viewer
dataset_name
string | task_name
string | test_cases
sequence | compare_func
string | demos
sequence | src_lang
null | tgt_lang
string | data_id
string | prefix
string | suffix
string | import_str
sequence | doc_string
string | solution
string | entry_func
string | type
dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
HumanEval | code_generation | [
[
"[1.0, 2.0, 3.9, 4.0, 5.0, 2.2], 0.3",
"True"
],
[
"[1.0, 2.0, 3.9, 4.0, 5.0, 2.2], 0.05",
"False"
],
[
"[1.0, 2.0, 5.9, 4.0, 5.0], 0.95",
"True"
],
[
"[1.0, 2.0, 5.9, 4.0, 5.0], 0.8",
"False"
],
[
"[1.0, 2.0, 3.0, 4.0, 5.0, 2.0], 0.1",
"True"
],
[
"[1.1, 2.2, 3.1, 4.1, 5.1], 1.0",
"True"
],
[
"[1.1, 2.2, 3.1, 4.1, 5.1], 0.5",
"False"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"[1.0, 2.0, 3.0], 0.5",
"False"
],
[
"[1.0, 2.8, 3.0, 4.0, 5.0, 2.0], 0.3",
"True"
]
] | null | python | HumanEval_0 | from typing import List
def has_close_elements(numbers: List[float], threshold: float) -> bool:
""" Check if in given list of numbers, are any two numbers closer to each other than
given threshold.
"""
| [
"from typing import List"
] | Check if in given list of numbers, are any two numbers closer to each other than
given threshold. | from typing import List
def has_close_elements(numbers: List[float], threshold: float) -> bool:
""" Check if in given list of numbers, are any two numbers closer to each other than
given threshold.
>>> has_close_elements([1.0, 2.0, 3.0], 0.5)
False
>>> has_close_elements([1.0, 2.8, 3.0, 4.0, 5.0, 2.0], 0.3)
True
"""
for idx, elem in enumerate(numbers):
for idx2, elem2 in enumerate(numbers):
if idx != idx2:
distance = abs(elem - elem2)
if distance < threshold:
return True
return False
| has_close_elements | {
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"x": null,
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},
"output": [
"bool"
]
} |
|
HumanEval | code_generation | [
[
"'(()()) ((())) () ((())()())'",
"[\n '(()())', '((()))', '()', '((())()())'\n ]"
],
[
"'() (()) ((())) (((())))'",
"[\n '()', '(())', '((()))', '(((())))'\n ]"
],
[
"'(()(())((())))'",
"[\n '(()(())((())))'\n ]"
],
[
"'( ) (( )) (( )( ))'",
"['()', '(())', '(()())']"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"'( ) (( )) (( )( ))'",
"['()', '(())', '(()())']"
]
] | null | python | HumanEval_1 | from typing import List
def separate_paren_groups(paren_string: str) -> List[str]:
""" Input to this function is a string containing multiple groups of nested parentheses. Your goal is to
separate those group into separate strings and return the list of those.
Separate groups are balanced (each open brace is properly closed) and not nested within each other
Ignore any spaces in the input string.
"""
| [
"from typing import List"
] | Input to this function is a string containing multiple groups of nested parentheses. Your goal is to
separate those group into separate strings and return the list of those.
Separate groups are balanced (each open brace is properly closed) and not nested within each other
Ignore any spaces in the input string. | from typing import List
def separate_paren_groups(paren_string: str) -> List[str]:
""" Input to this function is a string containing multiple groups of nested parentheses. Your goal is to
separate those group into separate strings and return the list of those.
Separate groups are balanced (each open brace is properly closed) and not nested within each other
Ignore any spaces in the input string.
>>> separate_paren_groups('( ) (( )) (( )( ))')
['()', '(())', '(()())']
"""
result = []
current_string = []
current_depth = 0
for c in paren_string:
if c == '(':
current_depth += 1
current_string.append(c)
elif c == ')':
current_depth -= 1
current_string.append(c)
if current_depth == 0:
result.append(''.join(current_string))
current_string.clear()
return result
| separate_paren_groups | {
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"y": null,
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},
"output": [
"list"
]
} |
|
HumanEval | code_generation | [
[
"3.5",
"0.5"
],
[
"1.33",
"0.33"
],
[
"123.456",
"0.456"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"3.5",
"0.5"
]
] | null | python | HumanEval_2 |
def truncate_number(number: float) -> float:
""" Given a positive floating point number, it can be decomposed into
and integer part (largest integer smaller than given number) and decimals
(leftover part always smaller than 1).
Return the decimal part of the number.
"""
| [] | Given a positive floating point number, it can be decomposed into
and integer part (largest integer smaller than given number) and decimals
(leftover part always smaller than 1).
Return the decimal part of the number. |
def truncate_number(number: float) -> float:
""" Given a positive floating point number, it can be decomposed into
and integer part (largest integer smaller than given number) and decimals
(leftover part always smaller than 1).
Return the decimal part of the number.
>>> truncate_number(3.5)
0.5
"""
return number % 1.0
| truncate_number | {
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"y": null,
"z": null
},
"output": [
"float"
]
} |
|
HumanEval | code_generation | [
[
"[]",
"False"
],
[
"[1, 2, -3, 1, 2, -3]",
"False"
],
[
"[1, 2, -4, 5, 6]",
"True"
],
[
"[1, -1, 2, -2, 5, -5, 4, -4]",
"False"
],
[
"[1, -1, 2, -2, 5, -5, 4, -5]",
"True"
],
[
"[1, -2, 2, -2, 5, -5, 4, -4]",
"True"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"[1, 2, 3]",
"False"
],
[
"[1, 2, -4, 5]",
"True"
]
] | null | python | HumanEval_3 | from typing import List
def below_zero(operations: List[int]) -> bool:
""" You're given a list of deposit and withdrawal operations on a bank account that starts with
zero balance. Your task is to detect if at any point the balance of account fallls below zero, and
at that point function should return True. Otherwise it should return False.
"""
| [
"from typing import List"
] | You're given a list of deposit and withdrawal operations on a bank account that starts with
zero balance. Your task is to detect if at any point the balance of account fallls below zero, and
at that point function should return True. Otherwise it should return False. | from typing import List
def below_zero(operations: List[int]) -> bool:
""" You're given a list of deposit and withdrawal operations on a bank account that starts with
zero balance. Your task is to detect if at any point the balance of account fallls below zero, and
at that point function should return True. Otherwise it should return False.
>>> below_zero([1, 2, 3])
False
>>> below_zero([1, 2, -4, 5])
True
"""
balance = 0
for op in operations:
balance += op
if balance < 0:
return True
return False
| below_zero | {
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},
"output": [
"bool"
]
} |
|
HumanEval | code_generation | [
[
"[1.0, 2.0, 3.0]",
"2.0/3.0"
],
[
"[1.0, 2.0, 3.0, 4.0]",
"1.0"
],
[
"[1.0, 2.0, 3.0, 4.0, 5.0]",
"6.0/5.0"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"[1.0, 2.0, 3.0, 4.0]",
"1.0"
]
] | null | python | HumanEval_4 | from typing import List
def mean_absolute_deviation(numbers: List[float]) -> float:
""" For a given list of input numbers, calculate Mean Absolute Deviation
around the mean of this dataset.
Mean Absolute Deviation is the average absolute difference between each
element and a centerpoint (mean in this case):
MAD = average | x - x_mean |
"""
| [
"from typing import List"
] | For a given list of input numbers, calculate Mean Absolute Deviation
around the mean of this dataset.
Mean Absolute Deviation is the average absolute difference between each
element and a centerpoint (mean in this case):
MAD = average | x - x_mean | | from typing import List
def mean_absolute_deviation(numbers: List[float]) -> float:
""" For a given list of input numbers, calculate Mean Absolute Deviation
around the mean of this dataset.
Mean Absolute Deviation is the average absolute difference between each
element and a centerpoint (mean in this case):
MAD = average | x - x_mean |
>>> mean_absolute_deviation([1.0, 2.0, 3.0, 4.0])
1.0
"""
mean = sum(numbers) / len(numbers)
return sum(abs(x - mean) for x in numbers) / len(numbers)
| mean_absolute_deviation | {
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},
"output": [
"float"
]
} |
|
HumanEval | code_generation | [
[
"[], 7",
"[]"
],
[
"[5, 6, 3, 2], 8",
"[5, 8, 6, 8, 3, 8, 2]"
],
[
"[2, 2, 2], 2",
"[2, 2, 2, 2, 2]"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"[], 4",
"[]"
],
[
"[1, 2, 3], 4",
"[1, 4, 2, 4, 3]"
]
] | null | python | HumanEval_5 | from typing import List
def intersperse(numbers: List[int], delimeter: int) -> List[int]:
""" Insert a number 'delimeter' between every two consecutive elements of input list `numbers'
"""
| [
"from typing import List"
] | Insert a number 'delimeter' between every two consecutive elements of input list `numbers' | from typing import List
def intersperse(numbers: List[int], delimeter: int) -> List[int]:
""" Insert a number 'delimeter' between every two consecutive elements of input list `numbers'
>>> intersperse([], 4)
[]
>>> intersperse([1, 2, 3], 4)
[1, 4, 2, 4, 3]
"""
if not numbers:
return []
result = []
for n in numbers[:-1]:
result.append(n)
result.append(delimeter)
result.append(numbers[-1])
return result
| intersperse | {
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"txt": null,
"value": null,
"values": null,
"w": null,
"word": null,
"words": null,
"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"list"
]
} |
|
HumanEval | code_generation | [
[
"'(()()) ((())) () ((())()())'",
"[2, 3, 1, 3]"
],
[
"'() (()) ((())) (((())))'",
"[1, 2, 3, 4]"
],
[
"'(()(())((())))'",
"[4]"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"'(()()) ((())) () ((())()())'",
"[2, 3, 1, 3]"
]
] | null | python | HumanEval_6 | from typing import List
def parse_nested_parens(paren_string: str) -> List[int]:
""" Input to this function is a string represented multiple groups for nested parentheses separated by spaces.
For each of the group, output the deepest level of nesting of parentheses.
E.g. (()()) has maximum two levels of nesting while ((())) has three.
"""
| [
"from typing import List"
] | Input to this function is a string represented multiple groups for nested parentheses separated by spaces.
For each of the group, output the deepest level of nesting of parentheses.
E.g. (()()) has maximum two levels of nesting while ((())) has three. | from typing import List
def parse_nested_parens(paren_string: str) -> List[int]:
""" Input to this function is a string represented multiple groups for nested parentheses separated by spaces.
For each of the group, output the deepest level of nesting of parentheses.
E.g. (()()) has maximum two levels of nesting while ((())) has three.
>>> parse_nested_parens('(()()) ((())) () ((())()())')
[2, 3, 1, 3]
"""
def parse_paren_group(s):
depth = 0
max_depth = 0
for c in s:
if c == '(':
depth += 1
max_depth = max(depth, max_depth)
else:
depth -= 1
return max_depth
return [parse_paren_group(x) for x in paren_string.split(' ') if x]
| parse_nested_parens | {
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},
"output": [
"list"
]
} |
|
HumanEval | code_generation | [
[
"[], 'john'",
"[]"
],
[
"['xxx', 'asd', 'xxy', 'john doe', 'xxxAAA', 'xxx'], 'xxx'",
"['xxx', 'xxxAAA', 'xxx']"
],
[
"['xxx', 'asd', 'aaaxxy', 'john doe', 'xxxAAA', 'xxx'], 'xx'",
"['xxx', 'aaaxxy', 'xxxAAA', 'xxx']"
],
[
"['grunt', 'trumpet', 'prune', 'gruesome'], 'run'",
"['grunt', 'prune']"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"[], 'a'",
"[]"
],
[
"['abc', 'bacd', 'cde', 'array'], 'a'",
"['abc', 'bacd', 'array']"
]
] | null | python | HumanEval_7 | from typing import List
def filter_by_substring(strings: List[str], substring: str) -> List[str]:
""" Filter an input list of strings only for ones that contain given substring
"""
| [
"from typing import List"
] | Filter an input list of strings only for ones that contain given substring | from typing import List
def filter_by_substring(strings: List[str], substring: str) -> List[str]:
""" Filter an input list of strings only for ones that contain given substring
>>> filter_by_substring([], 'a')
[]
>>> filter_by_substring(['abc', 'bacd', 'cde', 'array'], 'a')
['abc', 'bacd', 'array']
"""
return [x for x in strings if substring in x]
| filter_by_substring | {
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"str"
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"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"list"
]
} |
|
HumanEval | code_generation | [
[
"[]",
"(0, 1)"
],
[
"[1, 1, 1]",
"(3, 1)"
],
[
"[100, 0]",
"(100, 0)"
],
[
"[3, 5, 7]",
"(3 + 5 + 7, 3 * 5 * 7)"
],
[
"[10]",
"(10, 10)"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"[]",
"(0, 1)"
],
[
"[1, 2, 3, 4]",
"(10, 24)"
]
] | null | python | HumanEval_8 | from typing import List, Tuple
def sum_product(numbers: List[int]) -> Tuple[int, int]:
""" For a given list of integers, return a tuple consisting of a sum and a product of all the integers in a list.
Empty sum should be equal to 0 and empty product should be equal to 1.
>>> sum_product([])
(0, 1)
"""
| [
"from typing import List, Tuple"
] | For a given list of integers, return a tuple consisting of a sum and a product of all the integers in a list.
Empty sum should be equal to 0 and empty product should be equal to 1.
>>> sum_product([])
(0, 1) | from typing import List, Tuple
def sum_product(numbers: List[int]) -> Tuple[int, int]:
""" For a given list of integers, return a tuple consisting of a sum and a product of all the integers in a list.
Empty sum should be equal to 0 and empty product should be equal to 1.
>>> sum_product([])
(0, 1)
>>> sum_product([1, 2, 3, 4])
(10, 24)
"""
sum_value = 0
prod_value = 1
for n in numbers:
sum_value += n
prod_value *= n
return sum_value, prod_value
| sum_product | {
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"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"tuple"
]
} |
|
HumanEval | code_generation | [
[
"[]",
"[]"
],
[
"[1, 2, 3, 4]",
"[1, 2, 3, 4]"
],
[
"[4, 3, 2, 1]",
"[4, 4, 4, 4]"
],
[
"[3, 2, 3, 100, 3]",
"[3, 3, 3, 100, 100]"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"[1, 2, 3, 2, 3, 4, 2]",
"[1, 2, 3, 3, 3, 4, 4]"
]
] | null | python | HumanEval_9 | from typing import List, Tuple
def rolling_max(numbers: List[int]) -> List[int]:
""" From a given list of integers, generate a list of rolling maximum element found until given moment
in the sequence.
"""
| [
"from typing import List, Tuple"
] | From a given list of integers, generate a list of rolling maximum element found until given moment
in the sequence. | from typing import List, Tuple
def rolling_max(numbers: List[int]) -> List[int]:
""" From a given list of integers, generate a list of rolling maximum element found until given moment
in the sequence.
>>> rolling_max([1, 2, 3, 2, 3, 4, 2])
[1, 2, 3, 3, 3, 4, 4]
"""
running_max = None
result = []
for n in numbers:
if running_max is None:
running_max = n
else:
running_max = max(running_max, n)
result.append(running_max)
return result
| rolling_max | {
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"a": null,
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"words": null,
"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"list"
]
} |
|
HumanEval | code_generation | [
[
"''",
"''"
],
[
"'x'",
"'x'"
],
[
"'xyz'",
"'xyzyx'"
],
[
"'xyx'",
"'xyx'"
],
[
"'jerry'",
"'jerryrrej'"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"''",
"''"
],
[
"'cat'",
"'catac'"
],
[
"'cata'",
"'catac'"
]
] | null | python | HumanEval_10 |
def is_palindrome(string: str) -> bool:
""" Test if given string is a palindrome """
return string == string[::-1]
def make_palindrome(string: str) -> str:
""" Find the shortest palindrome that begins with a supplied string.
Algorithm idea is simple:
- Find the longest postfix of supplied string that is a palindrome.
- Append to the end of the string reverse of a string prefix that comes before the palindromic suffix.
"""
| [] | Test if given string is a palindrome |
def is_palindrome(string: str) -> bool:
""" Test if given string is a palindrome """
return string == string[::-1]
def make_palindrome(string: str) -> str:
""" Find the shortest palindrome that begins with a supplied string.
Algorithm idea is simple:
- Find the longest postfix of supplied string that is a palindrome.
- Append to the end of the string reverse of a string prefix that comes before the palindromic suffix.
>>> make_palindrome('')
''
>>> make_palindrome('cat')
'catac'
>>> make_palindrome('cata')
'catac'
"""
if not string:
return ''
beginning_of_suffix = 0
while not is_palindrome(string[beginning_of_suffix:]):
beginning_of_suffix += 1
return string + string[:beginning_of_suffix][::-1]
| make_palindrome | {
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"x": null,
"xs": null,
"y": null,
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},
"output": [
"str"
]
} |
|
HumanEval | code_generation | [
[
"'111000', '101010'",
"'010010'"
],
[
"'1', '1'",
"'0'"
],
[
"'0101', '0000'",
"'0101'"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"'010', '110'",
"'100'"
]
] | null | python | HumanEval_11 | from typing import List
def string_xor(a: str, b: str) -> str:
""" Input are two strings a and b consisting only of 1s and 0s.
Perform binary XOR on these inputs and return result also as a string.
"""
| [
"from typing import List"
] | Input are two strings a and b consisting only of 1s and 0s.
Perform binary XOR on these inputs and return result also as a string. | from typing import List
def string_xor(a: str, b: str) -> str:
""" Input are two strings a and b consisting only of 1s and 0s.
Perform binary XOR on these inputs and return result also as a string.
>>> string_xor('010', '110')
'100'
"""
def xor(i, j):
if i == j:
return '0'
else:
return '1'
return ''.join(xor(x, y) for x, y in zip(a, b))
| string_xor | {
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"N": null,
"S": null,
"a": [
"str"
],
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"b": [
"str"
],
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"words": null,
"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"str"
]
} |
|
HumanEval | code_generation | [
[
"[]",
"None"
],
[
"['x', 'y', 'z']",
"'x'"
],
[
"['x', 'yyy', 'zzzz', 'www', 'kkkk', 'abc']",
"'zzzz'"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"[]",
""
],
[
"['a', 'b', 'c']",
"'a'"
],
[
"['a', 'bb', 'ccc']",
"'ccc'"
]
] | null | python | HumanEval_12 | from typing import List, Optional
def longest(strings: List[str]) -> Optional[str]:
""" Out of list of strings, return the longest one. Return the first one in case of multiple
strings of the same length. Return None in case the input list is empty.
"""
| [
"from typing import List, Optional"
] | Out of list of strings, return the longest one. Return the first one in case of multiple
strings of the same length. Return None in case the input list is empty. | from typing import List, Optional
def longest(strings: List[str]) -> Optional[str]:
""" Out of list of strings, return the longest one. Return the first one in case of multiple
strings of the same length. Return None in case the input list is empty.
>>> longest([])
>>> longest(['a', 'b', 'c'])
'a'
>>> longest(['a', 'bb', 'ccc'])
'ccc'
"""
if not strings:
return None
maxlen = max(len(x) for x in strings)
for s in strings:
if len(s) == maxlen:
return s
| longest | {
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"S": null,
"a": null,
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"b": null,
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"list"
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"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"NoneType"
]
} |
|
HumanEval | code_generation | [
[
"3, 7",
"1"
],
[
"10, 15",
"5"
],
[
"49, 14",
"7"
],
[
"144, 60",
"12"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"3, 5",
"1"
],
[
"25, 15",
"5"
]
] | null | python | HumanEval_13 |
def greatest_common_divisor(a: int, b: int) -> int:
""" Return a greatest common divisor of two integers a and b
"""
| [] | Return a greatest common divisor of two integers a and b |
def greatest_common_divisor(a: int, b: int) -> int:
""" Return a greatest common divisor of two integers a and b
>>> greatest_common_divisor(3, 5)
1
>>> greatest_common_divisor(25, 15)
5
"""
while b:
a, b = b, a % b
return a
| greatest_common_divisor | {
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"N": null,
"S": null,
"a": [
"int"
],
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"array": null,
"b": [
"int"
],
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"words": null,
"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"int"
]
} |
|
HumanEval | code_generation | [
[
"''",
"[]"
],
[
"'asdfgh'",
"['a', 'as', 'asd', 'asdf', 'asdfg', 'asdfgh']"
],
[
"'WWW'",
"['W', 'WW', 'WWW']"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"'abc'",
"['a', 'ab', 'abc']"
]
] | null | python | HumanEval_14 | from typing import List
def all_prefixes(string: str) -> List[str]:
""" Return list of all prefixes from shortest to longest of the input string
"""
| [
"from typing import List"
] | Return list of all prefixes from shortest to longest of the input string | from typing import List
def all_prefixes(string: str) -> List[str]:
""" Return list of all prefixes from shortest to longest of the input string
>>> all_prefixes('abc')
['a', 'ab', 'abc']
"""
result = []
for i in range(len(string)):
result.append(string[:i+1])
return result
| all_prefixes | {
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"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
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"s1": null,
"sentence": null,
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"string": [
"str"
],
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"words": null,
"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"list"
]
} |
|
HumanEval | code_generation | [
[
"0",
"'0'"
],
[
"3",
"'0 1 2 3'"
],
[
"10",
"'0 1 2 3 4 5 6 7 8 9 10'"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"0",
"'0'"
],
[
"5",
"'0 1 2 3 4 5'"
]
] | null | python | HumanEval_15 |
def string_sequence(n: int) -> str:
""" Return a string containing space-delimited numbers starting from 0 upto n inclusive.
"""
| [] | Return a string containing space-delimited numbers starting from 0 upto n inclusive. |
def string_sequence(n: int) -> str:
""" Return a string containing space-delimited numbers starting from 0 upto n inclusive.
>>> string_sequence(0)
'0'
>>> string_sequence(5)
'0 1 2 3 4 5'
"""
return ' '.join([str(x) for x in range(n + 1)])
| string_sequence | {
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"a": null,
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"b": null,
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"music_string": null,
"n": [
"int"
],
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"values": null,
"w": null,
"word": null,
"words": null,
"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"str"
]
} |
|
HumanEval | code_generation | [
[
"''",
"0"
],
[
"'abcde'",
"5"
],
[
"'abcde' + 'cade' + 'CADE'",
"5"
],
[
"'aaaaAAAAaaaa'",
"1"
],
[
"'Jerry jERRY JeRRRY'",
"5"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"'xyzXYZ'",
"3"
],
[
"'Jerry'",
"4"
]
] | null | python | HumanEval_16 |
def count_distinct_characters(string: str) -> int:
""" Given a string, find out how many distinct characters (regardless of case) does it consist of
"""
| [] | Given a string, find out how many distinct characters (regardless of case) does it consist of |
def count_distinct_characters(string: str) -> int:
""" Given a string, find out how many distinct characters (regardless of case) does it consist of
>>> count_distinct_characters('xyzXYZ')
3
>>> count_distinct_characters('Jerry')
4
"""
return len(set(string.lower()))
| count_distinct_characters | {
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"words": null,
"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"int"
]
} |
|
HumanEval | code_generation | [
[
"''",
"[]"
],
[
"'o o o o'",
"[4, 4, 4, 4]"
],
[
"'.| .| .| .|'",
"[1, 1, 1, 1]"
],
[
"'o| o| .| .| o o o o'",
"[2, 2, 1, 1, 4, 4, 4, 4]"
],
[
"'o| .| o| .| o o| o o|'",
"[2, 1, 2, 1, 4, 2, 4, 2]"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"'o o| .| o| o| .| .| .| .| o o'",
"[4, 2, 1, 2, 2, 1, 1, 1, 1, 4, 4]"
]
] | null | python | HumanEval_17 | from typing import List
def parse_music(music_string: str) -> List[int]:
""" Input to this function is a string representing musical notes in a special ASCII format.
Your task is to parse this string and return list of integers corresponding to how many beats does each
not last.
Here is a legend:
'o' - whole note, lasts four beats
'o|' - half note, lasts two beats
'.|' - quater note, lasts one beat
"""
| [
"from typing import List"
] | Input to this function is a string representing musical notes in a special ASCII format.
Your task is to parse this string and return list of integers corresponding to how many beats does each
not last.
Here is a legend:
'o' - whole note, lasts four beats
'o|' - half note, lasts two beats
'.|' - quater note, lasts one beat | from typing import List
def parse_music(music_string: str) -> List[int]:
""" Input to this function is a string representing musical notes in a special ASCII format.
Your task is to parse this string and return list of integers corresponding to how many beats does each
not last.
Here is a legend:
'o' - whole note, lasts four beats
'o|' - half note, lasts two beats
'.|' - quater note, lasts one beat
>>> parse_music('o o| .| o| o| .| .| .| .| o o')
[4, 2, 1, 2, 2, 1, 1, 1, 1, 4, 4]
"""
note_map = {'o': 4, 'o|': 2, '.|': 1}
return [note_map[x] for x in music_string.split(' ') if x]
| parse_music | {
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"words": null,
"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"list"
]
} |
|
HumanEval | code_generation | [
[
"'', 'x'",
"0"
],
[
"'xyxyxyx', 'x'",
"4"
],
[
"'cacacacac', 'cac'",
"4"
],
[
"'john doe', 'john'",
"1"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"'', 'a'",
"0"
],
[
"'aaa', 'a'",
"3"
],
[
"'aaaa', 'aa'",
"3"
]
] | null | python | HumanEval_18 |
def how_many_times(string: str, substring: str) -> int:
""" Find how many times a given substring can be found in the original string. Count overlaping cases.
"""
| [] | Find how many times a given substring can be found in the original string. Count overlaping cases. |
def how_many_times(string: str, substring: str) -> int:
""" Find how many times a given substring can be found in the original string. Count overlaping cases.
>>> how_many_times('', 'a')
0
>>> how_many_times('aaa', 'a')
3
>>> how_many_times('aaaa', 'aa')
3
"""
times = 0
for i in range(len(string) - len(substring) + 1):
if string[i:i+len(substring)] == substring:
times += 1
return times
| how_many_times | {
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"y": null,
"z": null
},
"output": [
"int"
]
} |
|
HumanEval | code_generation | [
[
"''",
"''"
],
[
"'three'",
"'three'"
],
[
"'three five nine'",
"'three five nine'"
],
[
"'five zero four seven nine eight'",
"'zero four five seven eight nine'"
],
[
"'six five four three two one zero'",
"'zero one two three four five six'"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"'three one five'",
"'one three five'"
]
] | null | python | HumanEval_19 | from typing import List
def sort_numbers(numbers: str) -> str:
""" Input is a space-delimited string of numberals from 'zero' to 'nine'.
Valid choices are 'zero', 'one', 'two', 'three', 'four', 'five', 'six', 'seven', 'eight' and 'nine'.
Return the string with numbers sorted from smallest to largest
"""
| [
"from typing import List"
] | Input is a space-delimited string of numberals from 'zero' to 'nine'.
Valid choices are 'zero', 'one', 'two', 'three', 'four', 'five', 'six', 'seven', 'eight' and 'nine'.
Return the string with numbers sorted from smallest to largest | from typing import List
def sort_numbers(numbers: str) -> str:
""" Input is a space-delimited string of numberals from 'zero' to 'nine'.
Valid choices are 'zero', 'one', 'two', 'three', 'four', 'five', 'six', 'seven', 'eight' and 'nine'.
Return the string with numbers sorted from smallest to largest
>>> sort_numbers('three one five')
'one three five'
"""
value_map = {
'zero': 0,
'one': 1,
'two': 2,
'three': 3,
'four': 4,
'five': 5,
'six': 6,
'seven': 7,
'eight': 8,
'nine': 9
}
return ' '.join(sorted([x for x in numbers.split(' ') if x], key=lambda x: value_map[x]))
| sort_numbers | {
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},
"output": [
"str"
]
} |
|
HumanEval | code_generation | [
[
"[1.0, 2.0, 3.9, 4.0, 5.0, 2.2]",
"(3.9, 4.0)"
],
[
"[1.0, 2.0, 5.9, 4.0, 5.0]",
"(5.0, 5.9)"
],
[
"[1.0, 2.0, 3.0, 4.0, 5.0, 2.2]",
"(2.0, 2.2)"
],
[
"[1.0, 2.0, 3.0, 4.0, 5.0, 2.0]",
"(2.0, 2.0)"
],
[
"[1.1, 2.2, 3.1, 4.1, 5.1]",
"(2.2, 3.1)"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"[1.0, 2.0, 3.0, 4.0, 5.0, 2.2]",
"(2.0, 2.2)"
],
[
"[1.0, 2.0, 3.0, 4.0, 5.0, 2.0]",
"(2.0, 2.0)"
]
] | null | python | HumanEval_20 | from typing import List, Tuple
def find_closest_elements(numbers: List[float]) -> Tuple[float, float]:
""" From a supplied list of numbers (of length at least two) select and return two that are the closest to each
other and return them in order (smaller number, larger number).
"""
| [
"from typing import List, Tuple"
] | From a supplied list of numbers (of length at least two) select and return two that are the closest to each
other and return them in order (smaller number, larger number). | from typing import List, Tuple
def find_closest_elements(numbers: List[float]) -> Tuple[float, float]:
""" From a supplied list of numbers (of length at least two) select and return two that are the closest to each
other and return them in order (smaller number, larger number).
>>> find_closest_elements([1.0, 2.0, 3.0, 4.0, 5.0, 2.2])
(2.0, 2.2)
>>> find_closest_elements([1.0, 2.0, 3.0, 4.0, 5.0, 2.0])
(2.0, 2.0)
"""
closest_pair = None
distance = None
for idx, elem in enumerate(numbers):
for idx2, elem2 in enumerate(numbers):
if idx != idx2:
if distance is None:
distance = abs(elem - elem2)
closest_pair = tuple(sorted([elem, elem2]))
else:
new_distance = abs(elem - elem2)
if new_distance < distance:
distance = new_distance
closest_pair = tuple(sorted([elem, elem2]))
return closest_pair
| find_closest_elements | {
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},
"output": [
"tuple"
]
} |
|
HumanEval | code_generation | [
[
"[2.0, 49.9]",
"[0.0, 1.0]"
],
[
"[100.0, 49.9]",
"[1.0, 0.0]"
],
[
"[1.0, 2.0, 3.0, 4.0, 5.0]",
"[0.0, 0.25, 0.5, 0.75, 1.0]"
],
[
"[2.0, 1.0, 5.0, 3.0, 4.0]",
"[0.25, 0.0, 1.0, 0.5, 0.75]"
],
[
"[12.0, 11.0, 15.0, 13.0, 14.0]",
"[0.25, 0.0, 1.0, 0.5, 0.75]"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"[1.0, 2.0, 3.0, 4.0, 5.0]",
"[0.0, 0.25, 0.5, 0.75, 1.0]"
]
] | null | python | HumanEval_21 | from typing import List
def rescale_to_unit(numbers: List[float]) -> List[float]:
""" Given list of numbers (of at least two elements), apply a linear transform to that list,
such that the smallest number will become 0 and the largest will become 1
"""
| [
"from typing import List"
] | Given list of numbers (of at least two elements), apply a linear transform to that list,
such that the smallest number will become 0 and the largest will become 1 | from typing import List
def rescale_to_unit(numbers: List[float]) -> List[float]:
""" Given list of numbers (of at least two elements), apply a linear transform to that list,
such that the smallest number will become 0 and the largest will become 1
>>> rescale_to_unit([1.0, 2.0, 3.0, 4.0, 5.0])
[0.0, 0.25, 0.5, 0.75, 1.0]
"""
min_number = min(numbers)
max_number = max(numbers)
return [(x - min_number) / (max_number - min_number) for x in numbers]
| rescale_to_unit | {
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"words": null,
"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"list"
]
} |
|
HumanEval | code_generation | [
[
"[]",
"[]"
],
[
"[4, {}, [], 23.2, 9, 'adasd']",
"[4, 9]"
],
[
"[3, 'c', 3, 3, 'a', 'b']",
"[3, 3, 3]"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"['a', 3.14, 5]",
"[5]"
],
[
"[1, 2, 3, 'abc', {}, []]",
"[1, 2, 3]"
]
] | null | python | HumanEval_22 | from typing import List, Any
def filter_integers(values: List[Any]) -> List[int]:
""" Filter given list of any python values only for integers
"""
| [
"from typing import List, Any"
] | Filter given list of any python values only for integers | from typing import List, Any
def filter_integers(values: List[Any]) -> List[int]:
""" Filter given list of any python values only for integers
>>> filter_integers(['a', 3.14, 5])
[5]
>>> filter_integers([1, 2, 3, 'abc', {}, []])
[1, 2, 3]
"""
return [x for x in values if isinstance(x, int)]
| filter_integers | {
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"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"list"
]
} |
|
HumanEval | code_generation | [
[
"''",
"0"
],
[
"'x'",
"1"
],
[
"'asdasnakj'",
"9"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"''",
"0"
],
[
"'abc'",
"3"
]
] | null | python | HumanEval_23 |
def strlen(string: str) -> int:
""" Return length of given string
"""
| [] | Return length of given string |
def strlen(string: str) -> int:
""" Return length of given string
>>> strlen('')
0
>>> strlen('abc')
3
"""
return len(string)
| strlen | {
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"y": null,
"z": null
},
"output": [
"int"
]
} |
|
HumanEval | code_generation | [
[
"3",
"1"
],
[
"7",
"1"
],
[
"10",
"5"
],
[
"100",
"50"
],
[
"49",
"7"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"15",
"5"
]
] | null | python | HumanEval_24 |
def largest_divisor(n: int) -> int:
""" For a given number n, find the largest number that divides n evenly, smaller than n
"""
| [] | For a given number n, find the largest number that divides n evenly, smaller than n |
def largest_divisor(n: int) -> int:
""" For a given number n, find the largest number that divides n evenly, smaller than n
>>> largest_divisor(15)
5
"""
for i in reversed(range(n)):
if n % i == 0:
return i
| largest_divisor | {
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"words": null,
"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"int"
]
} |
|
HumanEval | code_generation | [
[
"2",
"[2]"
],
[
"4",
"[2, 2]"
],
[
"8",
"[2, 2, 2]"
],
[
"3 * 19",
"[3, 19]"
],
[
"3 * 19 * 3 * 19",
"[3, 3, 19, 19]"
],
[
"3 * 19 * 3 * 19 * 3 * 19",
"[3, 3, 3, 19, 19, 19]"
],
[
"3 * 19 * 19 * 19",
"[3, 19, 19, 19]"
],
[
"3 * 2 * 3",
"[2, 3, 3]"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"8",
"[2, 2, 2]"
],
[
"25",
"[5, 5]"
],
[
"70",
"[2, 5, 7]"
]
] | null | python | HumanEval_25 | from typing import List
def factorize(n: int) -> List[int]:
""" Return list of prime factors of given integer in the order from smallest to largest.
Each of the factors should be listed number of times corresponding to how many times it appeares in factorization.
Input number should be equal to the product of all factors
"""
| [
"from typing import List"
] | Return list of prime factors of given integer in the order from smallest to largest.
Each of the factors should be listed number of times corresponding to how many times it appeares in factorization.
Input number should be equal to the product of all factors | from typing import List
def factorize(n: int) -> List[int]:
""" Return list of prime factors of given integer in the order from smallest to largest.
Each of the factors should be listed number of times corresponding to how many times it appeares in factorization.
Input number should be equal to the product of all factors
>>> factorize(8)
[2, 2, 2]
>>> factorize(25)
[5, 5]
>>> factorize(70)
[2, 5, 7]
"""
import math
fact = []
i = 2
while i <= int(math.sqrt(n) + 1):
if n % i == 0:
fact.append(i)
n //= i
else:
i += 1
if n > 1:
fact.append(n)
return fact
| factorize | {
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"S": null,
"a": null,
"arr": null,
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"music_string": null,
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"int"
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"words": null,
"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"list"
]
} |
|
HumanEval | code_generation | [
[
"[]",
"[]"
],
[
"[1, 2, 3, 4]",
"[1, 2, 3, 4]"
],
[
"[1, 2, 3, 2, 4, 3, 5]",
"[1, 4, 5]"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"[1, 2, 3, 2, 4]",
"[1, 3, 4]"
]
] | null | python | HumanEval_26 | from typing import List
def remove_duplicates(numbers: List[int]) -> List[int]:
""" From a list of integers, remove all elements that occur more than once.
Keep order of elements left the same as in the input.
"""
| [
"from typing import List"
] | From a list of integers, remove all elements that occur more than once.
Keep order of elements left the same as in the input. | from typing import List
def remove_duplicates(numbers: List[int]) -> List[int]:
""" From a list of integers, remove all elements that occur more than once.
Keep order of elements left the same as in the input.
>>> remove_duplicates([1, 2, 3, 2, 4])
[1, 3, 4]
"""
import collections
c = collections.Counter(numbers)
return [n for n in numbers if c[n] <= 1]
| remove_duplicates | {
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"N": null,
"S": null,
"a": null,
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"numbers": [
"list"
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"w": null,
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"words": null,
"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"list"
]
} |
|
HumanEval | code_generation | [
[
"''",
"''"
],
[
"'Hello!'",
"'hELLO!'"
],
[
"'These violent delights have violent ends'",
"'tHESE VIOLENT DELIGHTS HAVE VIOLENT ENDS'"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"'Hello'",
"'hELLO'"
]
] | null | python | HumanEval_27 |
def flip_case(string: str) -> str:
""" For a given string, flip lowercase characters to uppercase and uppercase to lowercase.
"""
| [] | For a given string, flip lowercase characters to uppercase and uppercase to lowercase. |
def flip_case(string: str) -> str:
""" For a given string, flip lowercase characters to uppercase and uppercase to lowercase.
>>> flip_case('Hello')
'hELLO'
"""
return string.swapcase()
| flip_case | {
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"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
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"s1": null,
"sentence": null,
"shift": null,
"string": [
"str"
],
"strings": null,
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"values": null,
"w": null,
"word": null,
"words": null,
"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"str"
]
} |
|
HumanEval | code_generation | [
[
"[]",
"''"
],
[
"['x', 'y', 'z']",
"'xyz'"
],
[
"['x', 'y', 'z', 'w', 'k']",
"'xyzwk'"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"[]",
"''"
],
[
"['a', 'b', 'c']",
"'abc'"
]
] | null | python | HumanEval_28 | from typing import List
def concatenate(strings: List[str]) -> str:
""" Concatenate list of strings into a single string
"""
| [
"from typing import List"
] | Concatenate list of strings into a single string | from typing import List
def concatenate(strings: List[str]) -> str:
""" Concatenate list of strings into a single string
>>> concatenate([])
''
>>> concatenate(['a', 'b', 'c'])
'abc'
"""
return ''.join(strings)
| concatenate | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
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"dict": null,
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"game": null,
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"planet2": null,
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"s": null,
"s0": null,
"s1": null,
"sentence": null,
"shift": null,
"string": null,
"strings": [
"list"
],
"substring": null,
"t": null,
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"text": null,
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"txt": null,
"value": null,
"values": null,
"w": null,
"word": null,
"words": null,
"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"str"
]
} |
|
HumanEval | code_generation | [
[
"[], 'john'",
"[]"
],
[
"['xxx', 'asd', 'xxy', 'john doe', 'xxxAAA', 'xxx'], 'xxx'",
"['xxx', 'xxxAAA', 'xxx']"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"[], 'a'",
"[]"
],
[
"['abc', 'bcd', 'cde', 'array'], 'a'",
"['abc', 'array']"
]
] | null | python | HumanEval_29 | from typing import List
def filter_by_prefix(strings: List[str], prefix: str) -> List[str]:
""" Filter an input list of strings only for ones that start with a given prefix.
"""
| [
"from typing import List"
] | Filter an input list of strings only for ones that start with a given prefix. | from typing import List
def filter_by_prefix(strings: List[str], prefix: str) -> List[str]:
""" Filter an input list of strings only for ones that start with a given prefix.
>>> filter_by_prefix([], 'a')
[]
>>> filter_by_prefix(['abc', 'bcd', 'cde', 'array'], 'a')
['abc', 'array']
"""
return [x for x in strings if x.startswith(prefix)]
| filter_by_prefix | {
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"S": null,
"a": null,
"arr": null,
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"b": null,
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"planet1": null,
"planet2": null,
"prefix": [
"str"
],
"q": null,
"remaining": null,
"s": null,
"s0": null,
"s1": null,
"sentence": null,
"shift": null,
"string": null,
"strings": [
"list"
],
"substring": null,
"t": null,
"test": null,
"text": null,
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"txt": null,
"value": null,
"values": null,
"w": null,
"word": null,
"words": null,
"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"list"
]
} |
|
HumanEval | code_generation | [
[
"[-1, -2, 4, 5, 6]",
"[4, 5, 6]"
],
[
"[5, 3, -5, 2, 3, 3, 9, 0, 123, 1, -10]",
"[5, 3, 2, 3, 3, 9, 123, 1]"
],
[
"[-1, -2]",
"[]"
],
[
"[]",
"[]"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"[-1, 2, -4, 5, 6]",
"[2, 5, 6]"
],
[
"[5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10]",
"[5, 3, 2, 3, 9, 123, 1]"
]
] | null | python | HumanEval_30 |
def get_positive(l: list):
"""Return only positive numbers in the list.
"""
| [] | Return only positive numbers in the list. |
def get_positive(l: list):
"""Return only positive numbers in the list.
>>> get_positive([-1, 2, -4, 5, 6])
[2, 5, 6]
>>> get_positive([5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10])
[5, 3, 2, 3, 9, 123, 1]
"""
return [e for e in l if e > 0]
| get_positive | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
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"interval1": null,
"interval2": null,
"k": null,
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"list"
],
"l1": null,
"l2": null,
"lst": null,
"lst1": null,
"lst2": null,
"m": null,
"message": null,
"music_string": null,
"n": null,
"need": null,
"num": null,
"number": null,
"numbers": null,
"nums": null,
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"operations": null,
"operator": null,
"p": null,
"paren_string": null,
"planet1": null,
"planet2": null,
"prefix": null,
"q": null,
"remaining": null,
"s": null,
"s0": null,
"s1": null,
"sentence": null,
"shift": null,
"string": null,
"strings": null,
"substring": null,
"t": null,
"test": null,
"text": null,
"threshold": null,
"txt": null,
"value": null,
"values": null,
"w": null,
"word": null,
"words": null,
"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"list"
]
} |
|
HumanEval | code_generation | [
[
"6",
"False"
],
[
"101",
"True"
],
[
"11",
"True"
],
[
"13441",
"True"
],
[
"61",
"True"
],
[
"4",
"False"
],
[
"1",
"False"
],
[
"5",
"True"
],
[
"11",
"True"
],
[
"17",
"True"
],
[
"5 * 17",
"False"
],
[
"11 * 7",
"False"
],
[
"13441 * 19",
"False"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"6",
"False"
],
[
"101",
"True"
],
[
"11",
"True"
],
[
"13441",
"True"
],
[
"61",
"True"
],
[
"4",
"False"
],
[
"1",
"False"
]
] | null | python | HumanEval_31 |
def is_prime(n):
"""Return true if a given number is prime, and false otherwise.
"""
| [] | Return true if a given number is prime, and false otherwise. |
def is_prime(n):
"""Return true if a given number is prime, and false otherwise.
>>> is_prime(6)
False
>>> is_prime(101)
True
>>> is_prime(11)
True
>>> is_prime(13441)
True
>>> is_prime(61)
True
>>> is_prime(4)
False
>>> is_prime(1)
False
"""
if n < 2:
return False
for k in range(2, n - 1):
if n % k == 0:
return False
return True
| is_prime | {
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"output": [
"bool"
]
} |
|
HumanEval | code_generation | [
[
"[1, 2]",
"[1, 2]"
],
[
"[-6, 11, -6, 1]",
"[-6, 11, -6, 1]"
],
[
"[3, -4]",
"[3, -4]"
],
[
"[5, 0, -20]",
"[5, 0, -20]"
],
[
"[-1, 0, 0, 1]",
"[-1, 0, 0, 1]"
]
] | inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assert math.fabs(poly(inp[0], candidate(*inp))) < 1e-4 | [
[
"x",
"0."
],
[
"find_zero([1, 2]), 2) # f(x",
"1 + 2x"
],
[
"find_zero([-6, 11, -6, 1]), 2) # (x - 1) * (x - 2) * (x - 3",
"-6 + 11x - 6x^2 + x^3"
]
] | null | python | HumanEval_32 | import math
def poly(xs: list, x: float):
"""
Evaluates polynomial with coefficients xs at point x.
return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n
"""
return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])
def find_zero(xs: list):
""" xs are coefficients of a polynomial.
find_zero find x such that poly(x) = 0.
find_zero returns only only zero point, even if there are many.
Moreover, find_zero only takes list xs having even number of coefficients
and largest non zero coefficient as it guarantees
a solution.
"""
| [
"import math"
] | Evaluates polynomial with coefficients xs at point x.
return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n | import math
def poly(xs: list, x: float):
"""
Evaluates polynomial with coefficients xs at point x.
return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n
"""
return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])
def find_zero(xs: list):
""" xs are coefficients of a polynomial.
find_zero find x such that poly(x) = 0.
find_zero returns only only zero point, even if there are many.
Moreover, find_zero only takes list xs having even number of coefficients
and largest non zero coefficient as it guarantees
a solution.
>>> round(find_zero([1, 2]), 2) # f(x) = 1 + 2x
-0.5
>>> round(find_zero([-6, 11, -6, 1]), 2) # (x - 1) * (x - 2) * (x - 3) = -6 + 11x - 6x^2 + x^3
1.0
"""
# Scan for a sign change in [-100, 100]
step = 0.1
x0 = -100
y0 = poly(xs, x0)
found = False
for i in range(1, int(2000/step)):
x1 = x0 + step
y1 = poly(xs, x1)
if y0 * y1 <= 0:
begin, end = x0, x1
found = True
break
x0, y0 = x1, y1
if not found:
raise ValueError("No root found in the scan range.")
# Bisection
while abs(end - begin) > 1e-10:
center = (begin + end) / 2.0
if poly(xs, center) * poly(xs, begin) > 0:
begin = center
else:
end = center
return (begin + end) / 2.0
| find_zero | {
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"x": null,
"xs": [
"list"
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"y": null,
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},
"output": [
"list"
]
} |
|
HumanEval | code_generation | [
[
"[1, 2, 3]",
"[1, 2, 3]"
],
[
"[5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10]",
"[1, 3, -5, 2, -3, 3, 5, 0, 123, 9, -10]"
],
[
"[5, 8, -12, 4, 23, 2, 3, 11, 12, -10]",
"[-10, 8, -12, 3, 23, 2, 4, 11, 12, 5]"
],
[
"[5, 6, 3, 4, 8, 9, 2, 1]",
"[2, 6, 3, 4, 8, 9, 5, 1]"
],
[
"[5, 8, 3, 4, 6, 9, 2]",
"[2, 8, 3, 4, 6, 9, 5]"
],
[
"[5, 6, 9, 4, 8, 3, 2]",
"[2, 6, 9, 4, 8, 3, 5]"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"[1, 2, 3]",
"[1, 2, 3]"
],
[
"[5, 6, 3, 4, 8, 9, 2]",
"[2, 6, 3, 4, 8, 9, 5]"
]
] | null | python | HumanEval_33 |
def sort_third(l: list):
"""This function takes a list l and returns a list l' such that
l' is identical to l in the indicies that are not divisible by three, while its values at the indicies that are divisible by three are equal
to the values of the corresponding indicies of l, but sorted.
"""
| [] | This function takes a list l and returns a list l' such that
l' is identical to l in the indicies that are not divisible by three, while its values at the indicies that are divisible by three are equal
to the values of the corresponding indicies of l, but sorted. |
def sort_third(l: list):
"""This function takes a list l and returns a list l' such that
l' is identical to l in the indicies that are not divisible by three, while its values at the indicies that are divisible by three are equal
to the values of the corresponding indicies of l, but sorted.
>>> sort_third([1, 2, 3])
[1, 2, 3]
>>> sort_third([5, 6, 3, 4, 8, 9, 2])
[2, 6, 3, 4, 8, 9, 5]
"""
l = list(l)
l[::3] = sorted(l[::3])
return l
| sort_third | {
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},
"output": [
"list"
]
} |
|
HumanEval | code_generation | [
[
"[5, 3, 5, 2, 3, 3, 9, 0, 123]",
"[0, 2, 3, 5, 9, 123]"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"[5, 3, 5, 2, 3, 3, 9, 0, 123]",
"[0, 2, 3, 5, 9, 123]"
]
] | null | python | HumanEval_34 |
def unique(l: list):
"""Return sorted unique elements in a list
"""
| [] | Return sorted unique elements in a list |
def unique(l: list):
"""Return sorted unique elements in a list
>>> unique([5, 3, 5, 2, 3, 3, 9, 0, 123])
[0, 2, 3, 5, 9, 123]
"""
return sorted(list(set(l)))
| unique | {
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"words": null,
"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"list"
]
} |
|
HumanEval | code_generation | [
[
"[1, 2, 3]",
"3"
],
[
"[5, 3, -5, 2, -3, 3, 9, 0, 124, 1, -10]",
"124"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"[1, 2, 3]",
"3"
],
[
"[5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10]",
"123"
]
] | null | python | HumanEval_35 |
def max_element(l: list):
"""Return maximum element in the list.
"""
| [] | Return maximum element in the list. |
def max_element(l: list):
"""Return maximum element in the list.
>>> max_element([1, 2, 3])
3
>>> max_element([5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10])
123
"""
m = l[0]
for e in l:
if e > m:
m = e
return m
| max_element | {
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"a": null,
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"words": null,
"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"int"
]
} |
|
HumanEval | code_generation | [
[
"50",
"0"
],
[
"78",
"2"
],
[
"79",
"3"
],
[
"100",
"3"
],
[
"200",
"6"
],
[
"4000",
"192"
],
[
"10000",
"639"
],
[
"100000",
"8026"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"50",
"0"
],
[
"78",
"2"
],
[
"79",
"3"
]
] | null | python | HumanEval_36 |
def fizz_buzz(n: int):
"""Return the number of times the digit 7 appears in integers less than n which are divisible by 11 or 13.
"""
| [] | Return the number of times the digit 7 appears in integers less than n which are divisible by 11 or 13. |
def fizz_buzz(n: int):
"""Return the number of times the digit 7 appears in integers less than n which are divisible by 11 or 13.
>>> fizz_buzz(50)
0
>>> fizz_buzz(78)
2
>>> fizz_buzz(79)
3
"""
ns = []
for i in range(n):
if i % 11 == 0 or i % 13 == 0:
ns.append(i)
s = ''.join(list(map(str, ns)))
ans = 0
for c in s:
ans += (c == '7')
return ans
| fizz_buzz | {
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"S": null,
"a": null,
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"array": null,
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"n": [
"int"
],
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"words": null,
"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"int"
]
} |
|
HumanEval | code_generation | [
[
"[1, 2, 3]",
"[1, 2, 3]"
],
[
"[5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10]",
"[-10, 3, -5, 2, -3, 3, 5, 0, 9, 1, 123]"
],
[
"[5, 8, -12, 4, 23, 2, 3, 11, 12, -10]",
"[-12, 8, 3, 4, 5, 2, 12, 11, 23, -10]"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"[1, 2, 3]",
"[1, 2, 3]"
],
[
"[5, 6, 3, 4]",
"[3, 6, 5, 4]"
]
] | null | python | HumanEval_37 |
def sort_even(l: list):
"""This function takes a list l and returns a list l' such that
l' is identical to l in the odd indicies, while its values at the even indicies are equal
to the values of the even indicies of l, but sorted.
"""
| [] | This function takes a list l and returns a list l' such that
l' is identical to l in the odd indicies, while its values at the even indicies are equal
to the values of the even indicies of l, but sorted. |
def sort_even(l: list):
"""This function takes a list l and returns a list l' such that
l' is identical to l in the odd indicies, while its values at the even indicies are equal
to the values of the even indicies of l, but sorted.
>>> sort_even([1, 2, 3])
[1, 2, 3]
>>> sort_even([5, 6, 3, 4])
[3, 6, 5, 4]
"""
evens = l[::2]
odds = l[1::2]
evens.sort()
ans = []
for e, o in zip(evens, odds):
ans.extend([e, o])
if len(evens) > len(odds):
ans.append(evens[-1])
return ans
| sort_even | {
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"game": null,
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"h": null,
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"k": null,
"l": [
"list"
],
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"words": null,
"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"list"
]
} |
|
HumanEval | code_generation | [
[
"'eaztdrcpoojjs'",
"'zeartdocpjojs'"
],
[
"'fcsasgmhiqc'",
"'sfcgasimhqc'"
],
[
"'avmirjdeqbylxuau'",
"'mavjirqdelbyaxuu'"
],
[
"'azhacmsfsnfsg'",
"'hazmacssfsnfg'"
],
[
"'zbvkvwoatdccvw'",
"'vzbwkvtoacdcvw'"
],
[
"'mqzfshjknuz'",
"'zmqhfsnjkuz'"
],
[
"'bgpjjqmghur'",
"'pbgqjjhmgur'"
],
[
"'skuuqfixmobqarshlnfv'",
"'uskfuqmixqobsarnhlfv'"
],
[
"'bwcoqbjzilceuidscgn'",
"'cbwboqijzelcduigscn'"
],
[
"'lpoyfvzavtysssduxn'",
"'olpvyfvzastydssnux'"
],
[
"'rguzukgsizsrmvrnt'",
"'urgkzuigsrzsrmvnt'"
],
[
"'orjrnmyozyhwc'",
"'jormrnzyowyhc'"
],
[
"'egkdzdeufufsupt'",
"'kegddzfeusuftup'"
],
[
"'kuqnvecsetyvdfero'",
"'qkuenvecsvtyedfro'"
],
[
"'rglvlgjtgesicfkcmkm'",
"'lrggvlgjtieskcfkcmm'"
],
[
"'jpdxznnaqylzmmh'",
"'djpnxzqnazylhmm'"
],
[
"'zwmgzcntpbawwlfbex'",
"'mzwcgzpntwbafwlxbe'"
],
[
"'unjdpwbxpxkpqdopaalb'",
"'junwdppbxpxkoqdapalb'"
],
[
"'zeukiguxndy'",
"'uzegkinuxdy'"
],
[
"'sjnaktdnbnokqjg'",
"'nsjtakbdnknogqj'"
],
[
"'vrmtirlygzhf'",
"'mvrrtiglyfzh'"
],
[
"'mhtgmpslldrhjl'",
"'tmhpgmlslhdrjl'"
],
[
"'mpvjpdatrmhtdx'",
"'vmpdjprattmhdx'"
],
[
"'jimzixallctnnsg'",
"'mjixzilalnctgns'"
],
[
"'gahjootuomivad'",
"'hgaojootuvmiad'"
],
[
"'ulilcmoplpsqqoyrppbh'",
"'iulmlclopqpsyqoprpbh'"
],
[
"'oznykgwonynglp'",
"'nozgyknwogynlp'"
],
[
"'fzvyarmdbmeogatu'",
"'vfzryabmdometgau'"
],
[
"'mfnngxdggewb'",
"'nmfxnggdgbew'"
],
[
"'qvacnekscjxe'",
"'aqvecncksejx'"
],
[
"'nmcapqndnkuh'",
"'cnmqapnndhku'"
],
[
"'nnennffezagabnfa'",
"'ennfnnzfeaagfbna'"
],
[
"'ifgknbekvs'",
"'gifbknveks'"
],
[
"'drtekkfffj'",
"'tdrkekfffj'"
],
[
"'tswtymazbcejja'",
"'wtsmtybazjceja'"
],
[
"'vlcyvzwvjbrc'",
"'cvlzyvjwvcbr'"
],
[
"'jvlybcuhdjhoixz'",
"'ljvcybduhojhzix'"
],
[
"'gtpwuynlrwoimpersbri'",
"'pgtywurnliwoempbrsri'"
],
[
"'gxkyyxeiltkdiuq'",
"'kgxxyyleidtkqiu'"
],
[
"'lsxrlnsbrxispzf'",
"'xlsnrlrsbsxifpz'"
],
[
"'hkwqbehapilpgesmj'",
"'whkeqbphapilsgemj'"
],
[
"'qgxkrqvsvsrwesnwot'",
"'xqgqkrvvswsrnestwo'"
],
[
"'tkjskkxoqalpnajqidr'",
"'jtkkskqxopaljnadqir'"
],
[
"'djekkirzcafg'",
"'edjikkcrzgaf'"
],
[
"'srfgcpgexwdbajohros'",
"'fsrpgcxgebwdoajohrs'"
],
[
"'sfckdzevjqezdxmcso'",
"'csfzkdjevzqemdxocs'"
],
[
"'aaikokcghtbyunigyq'",
"'iaakkohcgytbiunqgy'"
],
[
"'jaldcwbuxzqvlsff'",
"'ljawdcxbuvzqflsf'"
],
[
"'hyjfibztlplww'",
"'jhybfilztwplw'"
],
[
"'irsuppaksqoxgkyak'",
"'sirpupsakxqoygkak'"
],
[
"'rvhlirxndd'",
"'hrvrlidxnd'"
],
[
"'fwofairkckdyffng'",
"'ofwifacrkykdnffg'"
],
[
"'idmgovtowjfmf'",
"'midvgowtomjff'"
],
[
"'ovfdtilllkla'",
"'fovidtlllakl'"
],
[
"'kmmlbgisttsjhpgeo'",
"'mkmglbtisjtsghpeo'"
],
[
"'wvnqidnuhafydcdqqbzv'",
"'nwvdqihnuyafddcbqqzv'"
],
[
"'suhgzhdxuwp'",
"'hsuhgzudxwp'"
],
[
"'wovjwmvixtut'",
"'vwomjwxvittu'"
],
[
"'cghripgisjeihgsbkme'",
"'hcgprisgiijeshgmbke'"
],
[
"'vpnnwihekt'",
"'nvpinwkhet'"
],
[
"'oakdzvyxwcubs'",
"'koavdzwyxbcus'"
],
[
"'yiizrtxhhmazu'",
"'iyitzrhxhzmau'"
],
[
"'ykzsucdlyah'",
"'zykcsuydlah'"
],
[
"'wikxqjfoudburqasd'",
"'kwijxqufoudbarqsd'"
],
[
"'cssoeuoaspnhxaeipsc'",
"'scsuoesoahpnexasipc'"
],
[
"'yiztlakgbpfqpnvrwxl'",
"'zyiatlbkgqpfvpnxrwl'"
],
[
"'faljwqdqsyeghhccnrvz'",
"'lfaqjwsdqgyechhrcnvz'"
],
[
"'okdezkfuvnml'",
"'dokkezvfulnm'"
],
[
"'klkbfzkqofdmtcg'",
"'kklzbfokqmfdgtc'"
],
[
"'uqzurwhizdjvr'",
"'zuqwurzhivdjr'"
],
[
"'jrgrscrapvjpfqj'",
"'gjrcrsprapvjjfq'"
],
[
"'nwenxrwcrfaeb'",
"'enwrnxrwcefab'"
],
[
"'pldrrczxefqs'",
"'dplcrrezxsfq'"
],
[
"'ksvouegvkjyfecan'",
"'vkseoukgvfjyaecn'"
],
[
"'ijqaxfmbwjkevttzbxk'",
"'qijfaxwmbejktvtxzbk'"
],
[
"'irewkmbwkh'",
"'eirmwkkbwh'"
],
[
"'mhqhodamvtgiev'",
"'qmhdhovamitgev'"
],
[
"'ryjpgtgwucmyeulwhydh'",
"'jrytpgugwycmleuywhdh'"
],
[
"'ttkwvupppyakk'",
"'kttuwvpppkyak'"
],
[
"'dsgidvchdrln'",
"'gdsviddchnrl'"
],
[
"'nklhmphxejdcwx'",
"'lnkphmehxcjdwx'"
],
[
"'plwenneudaqxtwheh'",
"'wplnendeuxaqhtweh'"
],
[
"'pasolfzaalcs'",
"'spafolazaslc'"
],
[
"'mvohmjdjtvggijdbxbnh'",
"'omvjhmtdjgvgdijbbxnh'"
],
[
"'olbcwcvbnhh'",
"'bolccwnvbhh'"
],
[
"'nttkuqayrlcuxioymcl'",
"'tntqkurayulcoxicyml'"
],
[
"'jxhrreunodmezni'",
"'hjxerrounedmizn'"
],
[
"'wsrxjpqyzkxhbxc'",
"'rwspxjzqyhkxcbx'"
],
[
"'kxkqlaosighdfirrgd'",
"'kkxaqliosdghrfidrg'"
],
[
"'jwlphbvzsosmfdq'",
"'ljwbphsvzmosqfd'"
],
[
"'osdfiyiitm'",
"'dosyfitiim'"
],
[
"'yndqfrdeuthbcwhhvizq'",
"'dynrqfudebthhcwihvzq'"
],
[
"'cmqnxmwxnrv'",
"'qcmmnxnwxrv'"
],
[
"'qvfdfgsgqkwa'",
"'fqvgdfqsgakw'"
],
[
"'zzuimcybadfunvwd'",
"'uzzcimaybudfwnvd'"
],
[
"'bsrzyntvnvsppnz'",
"'rbsnzyntvpvszpn'"
],
[
"'mjrvpbrpqemkws'",
"'rmjbvpqrpkemws'"
],
[
"'ekwvxxlganvrot'",
"'wekxvxalgrnvot'"
],
[
"'onlzsrfkdqfuvl'",
"'lonrzsdfkuqfvl'"
],
[
"'rcwvivhovywyfnqsefv'",
"'wrcvvivhoyywqfnfsev'"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"group",
"3 else group for group in groups]"
]
] | null | python | HumanEval_38 |
def encode_cyclic(s: str):
"""
returns encoded string by cycling groups of three characters.
"""
# split string to groups. Each of length 3.
groups = [s[(3 * i):min((3 * i + 3), len(s))] for i in range((len(s) + 2) // 3)]
# cycle elements in each group. Unless group has fewer elements than 3.
groups = [(group[1:] + group[0]) if len(group) == 3 else group for group in groups]
return "".join(groups)
def decode_cyclic(s: str):
"""
takes as input string encoded with encode_cyclic function. Returns decoded string.
"""
| [] | returns encoded string by cycling groups of three characters. |
def encode_cyclic(s: str):
"""
returns encoded string by cycling groups of three characters.
"""
# split string to groups. Each of length 3.
groups = [s[(3 * i):min((3 * i + 3), len(s))] for i in range((len(s) + 2) // 3)]
# cycle elements in each group. Unless group has fewer elements than 3.
groups = [(group[1:] + group[0]) if len(group) == 3 else group for group in groups]
return "".join(groups)
def decode_cyclic(s: str):
"""
takes as input string encoded with encode_cyclic function. Returns decoded string.
"""
return encode_cyclic(encode_cyclic(s))
| decode_cyclic | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
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"dict": null,
"extensions": null,
"file_name": null,
"game": null,
"grades": null,
"grid": null,
"guess": null,
"h": null,
"interval1": null,
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"k": null,
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"l1": null,
"l2": null,
"lst": null,
"lst1": null,
"lst2": null,
"m": null,
"message": null,
"music_string": null,
"n": null,
"need": null,
"num": null,
"number": null,
"numbers": null,
"nums": null,
"operand": null,
"operations": null,
"operator": null,
"p": null,
"paren_string": null,
"planet1": null,
"planet2": null,
"prefix": null,
"q": null,
"remaining": null,
"s": [
"str"
],
"s0": null,
"s1": null,
"sentence": null,
"shift": null,
"string": null,
"strings": null,
"substring": null,
"t": null,
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"txt": null,
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"values": null,
"w": null,
"word": null,
"words": null,
"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"str"
]
} |
|
HumanEval | code_generation | [
[
"1",
"2"
],
[
"2",
"3"
],
[
"3",
"5"
],
[
"4",
"13"
],
[
"5",
"89"
],
[
"6",
"233"
],
[
"7",
"1597"
],
[
"8",
"28657"
],
[
"9",
"514229"
],
[
"10",
"433494437"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"1",
"2"
],
[
"2",
"3"
],
[
"3",
"5"
],
[
"4",
"13"
],
[
"5",
"89"
]
] | null | python | HumanEval_39 |
def prime_fib(n: int):
"""
prime_fib returns n-th number that is a Fibonacci number and it's also prime.
"""
| [] | prime_fib returns n-th number that is a Fibonacci number and it's also prime. |
def prime_fib(n: int):
"""
prime_fib returns n-th number that is a Fibonacci number and it's also prime.
>>> prime_fib(1)
2
>>> prime_fib(2)
3
>>> prime_fib(3)
5
>>> prime_fib(4)
13
>>> prime_fib(5)
89
"""
import math
def is_prime(p):
if p < 2:
return False
for k in range(2, min(int(math.sqrt(p)) + 1, p - 1)):
if p % k == 0:
return False
return True
f = [0, 1]
while True:
f.append(f[-1] + f[-2])
if is_prime(f[-1]):
n -= 1
if n == 0:
return f[-1]
| prime_fib | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
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"class_name": null,
"date": null,
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"m": null,
"message": null,
"music_string": null,
"n": [
"int"
],
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"num": null,
"number": null,
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"prefix": null,
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"s": null,
"s0": null,
"s1": null,
"sentence": null,
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"t": null,
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"w": null,
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"words": null,
"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"int"
]
} |
|
HumanEval | code_generation | [
[
"[1, 3, 5, 0]",
"False"
],
[
"[1, 3, 5, -1]",
"False"
],
[
"[1, 3, -2, 1]",
"True"
],
[
"[1, 2, 3, 7]",
"False"
],
[
"[1, 2, 5, 7]",
"False"
],
[
"[2, 4, -5, 3, 9, 7]",
"True"
],
[
"[1]",
"False"
],
[
"[1, 3, 5, -100]",
"False"
],
[
"[100, 3, 5, -100]",
"False"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"[1, 3, 5, 0]",
"False"
],
[
"[1, 3, -2, 1]",
"True"
],
[
"[1, 2, 3, 7]",
"False"
],
[
"[2, 4, -5, 3, 9, 7]",
"True"
],
[
"[1]",
"False"
]
] | null | python | HumanEval_40 |
def triples_sum_to_zero(l: list):
"""
triples_sum_to_zero takes a list of integers as an input.
it returns True if there are three distinct elements in the list that
sum to zero, and False otherwise.
"""
| [] | triples_sum_to_zero takes a list of integers as an input.
it returns True if there are three distinct elements in the list that
sum to zero, and False otherwise. |
def triples_sum_to_zero(l: list):
"""
triples_sum_to_zero takes a list of integers as an input.
it returns True if there are three distinct elements in the list that
sum to zero, and False otherwise.
>>> triples_sum_to_zero([1, 3, 5, 0])
False
>>> triples_sum_to_zero([1, 3, -2, 1])
True
>>> triples_sum_to_zero([1, 2, 3, 7])
False
>>> triples_sum_to_zero([2, 4, -5, 3, 9, 7])
True
>>> triples_sum_to_zero([1])
False
"""
for i in range(len(l)):
for j in range(i + 1, len(l)):
for k in range(j + 1, len(l)):
if l[i] + l[j] + l[k] == 0:
return True
return False
| triples_sum_to_zero | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
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"h": null,
"interval1": null,
"interval2": null,
"k": null,
"l": [
"list"
],
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"l2": null,
"lst": null,
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"m": null,
"message": null,
"music_string": null,
"n": null,
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"num": null,
"number": null,
"numbers": null,
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"p": null,
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"planet1": null,
"planet2": null,
"prefix": null,
"q": null,
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"s": null,
"s0": null,
"s1": null,
"sentence": null,
"shift": null,
"string": null,
"strings": null,
"substring": null,
"t": null,
"test": null,
"text": null,
"threshold": null,
"txt": null,
"value": null,
"values": null,
"w": null,
"word": null,
"words": null,
"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"bool"
]
} |
|
HumanEval | code_generation | [
[
"2",
"4"
],
[
"3",
"9"
],
[
"4",
"16"
],
[
"8",
"64"
],
[
"10",
"100"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [] | null | python | HumanEval_41 |
def car_race_collision(n: int):
"""
Imagine a road that's a perfectly straight infinitely long line.
n cars are driving left to right; simultaneously, a different set of n cars
are driving right to left. The two sets of cars start out being very far from
each other. All cars move in the same speed. Two cars are said to collide
when a car that's moving left to right hits a car that's moving right to left.
However, the cars are infinitely sturdy and strong; as a result, they continue moving
in their trajectory as if they did not collide.
This function outputs the number of such collisions.
"""
| [] | Imagine a road that's a perfectly straight infinitely long line.
n cars are driving left to right; simultaneously, a different set of n cars
are driving right to left. The two sets of cars start out being very far from
each other. All cars move in the same speed. Two cars are said to collide
when a car that's moving left to right hits a car that's moving right to left.
However, the cars are infinitely sturdy and strong; as a result, they continue moving
in their trajectory as if they did not collide.
This function outputs the number of such collisions. |
def car_race_collision(n: int):
"""
Imagine a road that's a perfectly straight infinitely long line.
n cars are driving left to right; simultaneously, a different set of n cars
are driving right to left. The two sets of cars start out being very far from
each other. All cars move in the same speed. Two cars are said to collide
when a car that's moving left to right hits a car that's moving right to left.
However, the cars are infinitely sturdy and strong; as a result, they continue moving
in their trajectory as if they did not collide.
This function outputs the number of such collisions.
"""
return n**2
| car_race_collision | {
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"N": null,
"S": null,
"a": null,
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},
"output": [
"int"
]
} |
|
HumanEval | code_generation | [
[
"[]",
"[]"
],
[
"[3, 2, 1]",
"[4, 3, 2]"
],
[
"[5, 2, 5, 2, 3, 3, 9, 0, 123]",
"[6, 3, 6, 3, 4, 4, 10, 1, 124]"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"[1, 2, 3]",
"[2, 3, 4]"
],
[
"[5, 3, 5, 2, 3, 3, 9, 0, 123]",
"[6, 4, 6, 3, 4, 4, 10, 1, 124]"
]
] | null | python | HumanEval_42 |
def incr_list(l: list):
"""Return list with elements incremented by 1.
"""
| [] | Return list with elements incremented by 1. |
def incr_list(l: list):
"""Return list with elements incremented by 1.
>>> incr_list([1, 2, 3])
[2, 3, 4]
>>> incr_list([5, 3, 5, 2, 3, 3, 9, 0, 123])
[6, 4, 6, 3, 4, 4, 10, 1, 124]
"""
return [(e + 1) for e in l]
| incr_list | {
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"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
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"class_name": null,
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"w": null,
"word": null,
"words": null,
"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"list"
]
} |
|
HumanEval | code_generation | [
[
"[1, 3, 5, 0]",
"False"
],
[
"[1, 3, -2, 1]",
"False"
],
[
"[1, 2, 3, 7]",
"False"
],
[
"[2, 4, -5, 3, 5, 7]",
"True"
],
[
"[1]",
"False"
],
[
"[-3, 9, -1, 3, 2, 30]",
"True"
],
[
"[-3, 9, -1, 3, 2, 31]",
"True"
],
[
"[-3, 9, -1, 4, 2, 30]",
"False"
],
[
"[-3, 9, -1, 4, 2, 31]",
"False"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"[1, 3, 5, 0]",
"False"
],
[
"[1, 3, -2, 1]",
"False"
],
[
"[1, 2, 3, 7]",
"False"
],
[
"[2, 4, -5, 3, 5, 7]",
"True"
],
[
"[1]",
"False"
]
] | null | python | HumanEval_43 |
def pairs_sum_to_zero(l):
"""
pairs_sum_to_zero takes a list of integers as an input.
it returns True if there are two distinct elements in the list that
sum to zero, and False otherwise.
"""
| [] | pairs_sum_to_zero takes a list of integers as an input.
it returns True if there are two distinct elements in the list that
sum to zero, and False otherwise. |
def pairs_sum_to_zero(l):
"""
pairs_sum_to_zero takes a list of integers as an input.
it returns True if there are two distinct elements in the list that
sum to zero, and False otherwise.
>>> pairs_sum_to_zero([1, 3, 5, 0])
False
>>> pairs_sum_to_zero([1, 3, -2, 1])
False
>>> pairs_sum_to_zero([1, 2, 3, 7])
False
>>> pairs_sum_to_zero([2, 4, -5, 3, 5, 7])
True
>>> pairs_sum_to_zero([1])
False
"""
for i, l1 in enumerate(l):
for j in range(i + 1, len(l)):
if l1 + l[j] == 0:
return True
return False
| pairs_sum_to_zero | {
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"a": null,
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"words": null,
"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"bool"
]
} |
|
HumanEval | code_generation | [
[
"8, 3",
"\"22\""
],
[
"9, 3",
"\"100\""
],
[
"234, 2",
"\"11101010\""
],
[
"16, 2",
"\"10000\""
],
[
"8, 2",
"\"1000\""
],
[
"7, 2",
"\"111\""
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"8, 3",
"'22'"
],
[
"8, 2",
"'1000'"
],
[
"7, 2",
"'111'"
]
] | null | python | HumanEval_44 |
def change_base(x: int, base: int):
"""Change numerical base of input number x to base.
return string representation after the conversion.
base numbers are less than 10.
"""
| [] | Change numerical base of input number x to base.
return string representation after the conversion.
base numbers are less than 10. |
def change_base(x: int, base: int):
"""Change numerical base of input number x to base.
return string representation after the conversion.
base numbers are less than 10.
>>> change_base(8, 3)
'22'
>>> change_base(8, 2)
'1000'
>>> change_base(7, 2)
'111'
"""
ret = ""
while x > 0:
ret = str(x % base) + ret
x //= base
return ret
| change_base | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": [
"int"
],
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"w": null,
"word": null,
"words": null,
"x": [
"int"
],
"xs": null,
"y": null,
"z": null
},
"output": [
"str"
]
} |
|
HumanEval | code_generation | [
[
"5, 3",
"7.5"
],
[
"2, 2",
"2.0"
],
[
"10, 8",
"40.0"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"5, 3",
"7.5"
]
] | null | python | HumanEval_45 |
def triangle_area(a, h):
"""Given length of a side and high return area for a triangle.
"""
| [] | Given length of a side and high return area for a triangle. |
def triangle_area(a, h):
"""Given length of a side and high return area for a triangle.
>>> triangle_area(5, 3)
7.5
"""
return a * h / 2.0
| triangle_area | {
"input": {
"N": null,
"S": null,
"a": [
"int"
],
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
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"game": null,
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"h": [
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],
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"n": null,
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"number": null,
"numbers": null,
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"words": null,
"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"float"
]
} |
|
HumanEval | code_generation | [
[
"5",
"4"
],
[
"8",
"28"
],
[
"10",
"104"
],
[
"12",
"386"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"5",
"4"
],
[
"6",
"8"
],
[
"7",
"14"
]
] | null | python | HumanEval_46 |
def fib4(n: int):
"""The Fib4 number sequence is a sequence similar to the Fibbonacci sequnece that's defined as follows:
fib4(0) -> 0
fib4(1) -> 0
fib4(2) -> 2
fib4(3) -> 0
fib4(n) -> fib4(n-1) + fib4(n-2) + fib4(n-3) + fib4(n-4).
Please write a function to efficiently compute the n-th element of the fib4 number sequence. Do not use recursion.
>>> fib4(5)
4
>>> fib4(6)
8
>>> fib4(7)
14
"""
| [] | The Fib4 number sequence is a sequence similar to the Fibbonacci sequnece that's defined as follows:
fib4(0) -> 0
fib4(1) -> 0
fib4(2) -> 2
fib4(3) -> 0
fib4(n) -> fib4(n-1) + fib4(n-2) + fib4(n-3) + fib4(n-4).
Please write a function to efficiently compute the n-th element of the fib4 number sequence. Do not use recursion.
>>> fib4(5)
4
>>> fib4(6)
8
>>> fib4(7)
14 |
def fib4(n: int):
"""The Fib4 number sequence is a sequence similar to the Fibbonacci sequnece that's defined as follows:
fib4(0) -> 0
fib4(1) -> 0
fib4(2) -> 2
fib4(3) -> 0
fib4(n) -> fib4(n-1) + fib4(n-2) + fib4(n-3) + fib4(n-4).
Please write a function to efficiently compute the n-th element of the fib4 number sequence. Do not use recursion.
>>> fib4(5)
4
>>> fib4(6)
8
>>> fib4(7)
14
"""
results = [0, 0, 2, 0]
if n < 4:
return results[n]
for _ in range(4, n + 1):
results.append(results[-1] + results[-2] + results[-3] + results[-4])
results.pop(0)
return results[-1]
| fib4 | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
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"lst1": null,
"lst2": null,
"m": null,
"message": null,
"music_string": null,
"n": [
"int"
],
"need": null,
"num": null,
"number": null,
"numbers": null,
"nums": null,
"operand": null,
"operations": null,
"operator": null,
"p": null,
"paren_string": null,
"planet1": null,
"planet2": null,
"prefix": null,
"q": null,
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"s": null,
"s0": null,
"s1": null,
"sentence": null,
"shift": null,
"string": null,
"strings": null,
"substring": null,
"t": null,
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"text": null,
"threshold": null,
"txt": null,
"value": null,
"values": null,
"w": null,
"word": null,
"words": null,
"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"int"
]
} |
|
HumanEval | code_generation | [
[
"[3, 1, 2, 4, 5]",
"3"
],
[
"[-10, 4, 6, 1000, 10, 20]",
"8.0"
],
[
"[5]",
"5"
],
[
"[6, 5]",
"5.5"
],
[
"[8, 1, 3, 9, 9, 2, 7]",
"7"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"[3, 1, 2, 4, 5]",
"3"
],
[
"[-10, 4, 6, 1000, 10, 20]",
"15.0"
]
] | null | python | HumanEval_47 |
def median(l: list):
"""Return median of elements in the list l.
"""
| [] | Return median of elements in the list l. |
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
| median | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
"file_name": null,
"game": null,
"grades": null,
"grid": null,
"guess": null,
"h": null,
"interval1": null,
"interval2": null,
"k": null,
"l": [
"list"
],
"l1": null,
"l2": null,
"lst": null,
"lst1": null,
"lst2": null,
"m": null,
"message": null,
"music_string": null,
"n": null,
"need": null,
"num": null,
"number": null,
"numbers": null,
"nums": null,
"operand": null,
"operations": null,
"operator": null,
"p": null,
"paren_string": null,
"planet1": null,
"planet2": null,
"prefix": null,
"q": null,
"remaining": null,
"s": null,
"s0": null,
"s1": null,
"sentence": null,
"shift": null,
"string": null,
"strings": null,
"substring": null,
"t": null,
"test": null,
"text": null,
"threshold": null,
"txt": null,
"value": null,
"values": null,
"w": null,
"word": null,
"words": null,
"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"int"
]
} |
|
HumanEval | code_generation | [
[
"''",
"True"
],
[
"'aba'",
"True"
],
[
"'aaaaa'",
"True"
],
[
"'zbcd'",
"False"
],
[
"'xywyx'",
"True"
],
[
"'xywyz'",
"False"
],
[
"'xywzx'",
"False"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"''",
"True"
],
[
"'aba'",
"True"
],
[
"'aaaaa'",
"True"
],
[
"'zbcd'",
"False"
]
] | null | python | HumanEval_48 |
def is_palindrome(text: str):
"""
Checks if given string is a palindrome
"""
| [] | Checks if given string is a palindrome |
def is_palindrome(text: str):
"""
Checks if given string is a palindrome
>>> is_palindrome('')
True
>>> is_palindrome('aba')
True
>>> is_palindrome('aaaaa')
True
>>> is_palindrome('zbcd')
False
"""
for i in range(len(text)):
if text[i] != text[len(text) - 1 - i]:
return False
return True
| is_palindrome | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
"file_name": null,
"game": null,
"grades": null,
"grid": null,
"guess": null,
"h": null,
"interval1": null,
"interval2": null,
"k": null,
"l": null,
"l1": null,
"l2": null,
"lst": null,
"lst1": null,
"lst2": null,
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"music_string": null,
"n": null,
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"num": null,
"number": null,
"numbers": null,
"nums": null,
"operand": null,
"operations": null,
"operator": null,
"p": null,
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"planet1": null,
"planet2": null,
"prefix": null,
"q": null,
"remaining": null,
"s": null,
"s0": null,
"s1": null,
"sentence": null,
"shift": null,
"string": null,
"strings": null,
"substring": null,
"t": null,
"test": null,
"text": [
"str"
],
"threshold": null,
"txt": null,
"value": null,
"values": null,
"w": null,
"word": null,
"words": null,
"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"bool"
]
} |
|
HumanEval | code_generation | [
[
"3, 5",
"3"
],
[
"1101, 101",
"2"
],
[
"0, 101",
"1"
],
[
"3, 11",
"8"
],
[
"100, 101",
"1"
],
[
"30, 5",
"4"
],
[
"31, 5",
"3"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"3, 5",
"3"
],
[
"1101, 101",
"2"
],
[
"0, 101",
"1"
],
[
"3, 11",
"8"
],
[
"100, 101",
"1"
]
] | null | python | HumanEval_49 |
def modp(n: int, p: int):
"""Return 2^n modulo p (be aware of numerics).
"""
| [] | Return 2^n modulo p (be aware of numerics). |
def modp(n: int, p: int):
"""Return 2^n modulo p (be aware of numerics).
>>> modp(3, 5)
3
>>> modp(1101, 101)
2
>>> modp(0, 101)
1
>>> modp(3, 11)
8
>>> modp(100, 101)
1
"""
ret = 1
for i in range(n):
ret = (2 * ret) % p
return ret
| modp | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
"file_name": null,
"game": null,
"grades": null,
"grid": null,
"guess": null,
"h": null,
"interval1": null,
"interval2": null,
"k": null,
"l": null,
"l1": null,
"l2": null,
"lst": null,
"lst1": null,
"lst2": null,
"m": null,
"message": null,
"music_string": null,
"n": [
"int"
],
"need": null,
"num": null,
"number": null,
"numbers": null,
"nums": null,
"operand": null,
"operations": null,
"operator": null,
"p": [
"int"
],
"paren_string": null,
"planet1": null,
"planet2": null,
"prefix": null,
"q": null,
"remaining": null,
"s": null,
"s0": null,
"s1": null,
"sentence": null,
"shift": null,
"string": null,
"strings": null,
"substring": null,
"t": null,
"test": null,
"text": null,
"threshold": null,
"txt": null,
"value": null,
"values": null,
"w": null,
"word": null,
"words": null,
"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"int"
]
} |
|
HumanEval | code_generation | [
[
"\"nppetuavkhytds\"",
"\"ikkzopvqfctoyn\""
],
[
"\"jkwevzwwetoiui\"",
"\"efrzqurrzojdpd\""
],
[
"\"deqhgbmrgyvolvllvgu\"",
"\"yzlcbwhmbtqjgqggqbp\""
],
[
"\"adwtpwmzzsba\"",
"\"vyrokrhuunwv\""
],
[
"\"kviyfxcqqk\"",
"\"fqdtasxllf\""
],
[
"\"owuxsmtkqyi\"",
"\"jrpsnhofltd\""
],
[
"\"nnmfgsupnnlfnyke\"",
"\"iihabnpkiigaitfz\""
],
[
"\"neklmdclmzoro\"",
"\"izfghyxghujmj\""
],
[
"\"lesnecsgpsgcya\"",
"\"gznizxnbknbxtv\""
],
[
"\"oxbtwcbwsxinxvdwir\"",
"\"jsworxwrnsdisqyrdm\""
],
[
"\"sdghpnyvoqrwpzgvdu\"",
"\"nybckitqjlmrkubqyp\""
],
[
"\"jyzljgmjrbquen\"",
"\"etugebhemwlpzi\""
],
[
"\"zgyrlfbwabpjhperjslh\"",
"\"ubtmgawrvwkeckzmengc\""
],
[
"\"qleffvhomvtyngciggde\"",
"\"lgzaaqcjhqotibxdbbyz\""
],
[
"\"qqpicuvmrtkj\"",
"\"llkdxpqhmofe\""
],
[
"\"jyyevmecuetxqrirfd\"",
"\"ettzqhzxpzoslmdmay\""
],
[
"\"lmbsrqvjevdtb\"",
"\"ghwnmlqezqyow\""
],
[
"\"whxcodekelxlmln\"",
"\"rcsxjyzfzgsghgi\""
],
[
"\"delrtygeoyvml\"",
"\"yzgmotbzjtqhg\""
],
[
"\"apdqbcrttlq\"",
"\"vkylwxmoogl\""
],
[
"\"xttskzvkfh\"",
"\"soonfuqfac\""
],
[
"\"olbwqqdnru\"",
"\"jgwrllyimp\""
],
[
"\"ehdpgbpcwbqsqr\"",
"\"zcykbwkxrwlnlm\""
],
[
"\"oxbdypniamafgtsz\"",
"\"jswytkidvhvabonu\""
],
[
"\"sdnuydcckyvllunfbxi\"",
"\"nyiptyxxftqggpiawsd\""
],
[
"\"antvcacedbucqjmhl\"",
"\"vioqxvxzywpxlehcg\""
],
[
"\"zogbormycllavatve\"",
"\"ujbwjmhtxggvqvoqz\""
],
[
"\"fuueutygaxwywovpnigy\"",
"\"appzpotbvsrtrjqkidbt\""
],
[
"\"jknughmjbqvtcrulb\"",
"\"efipbchewlqoxmpgw\""
],
[
"\"xbvxtynbqwz\"",
"\"swqsotiwlru\""
],
[
"\"mgctjkezbtnklcsw\"",
"\"hbxoefzuwoifgxnr\""
],
[
"\"fmelllajoemkowluz\"",
"\"ahzgggvejzhfjrgpu\""
],
[
"\"ptozvzdtyvnhzime\"",
"\"kojuquyotqicudhz\""
],
[
"\"xxhgplwbzs\"",
"\"sscbkgrwun\""
],
[
"\"rfzoarauxuka\"",
"\"maujvmvpspfv\""
],
[
"\"twqnkxildqtbrbjwyqrh\"",
"\"orlifsdgylowmwertlmc\""
],
[
"\"eildvqeupsl\"",
"\"zdgyqlzpkng\""
],
[
"\"pnzptdzfhzxpn\"",
"\"kiukoyuacuski\""
],
[
"\"hbmzwirdoar\"",
"\"cwhurdmyjvm\""
],
[
"\"gaqxkjkpnwkca\"",
"\"bvlsfefkirfxv\""
],
[
"\"xddhfaftiziqebsa\"",
"\"syycavaodudlzwnv\""
],
[
"\"ydyqdhblfckp\"",
"\"tytlycwgaxfk\""
],
[
"\"ymypgwmwogoudeq\"",
"\"thtkbrhrjbjpyzl\""
],
[
"\"unvmuxgbdyhchso\"",
"\"piqhpsbwytcxcnj\""
],
[
"\"dhghjsovcb\"",
"\"ycbcenjqxw\""
],
[
"\"piinwbmppf\"",
"\"kddirwhkka\""
],
[
"\"zvyoceomaxjcgwprqm\"",
"\"uqtjxzjhvsexbrkmlh\""
],
[
"\"eijmnrfqtqudyv\"",
"\"zdehimalolpytq\""
],
[
"\"qpeqklfmwnry\"",
"\"lkzlfgahrimt\""
],
[
"\"fwnkdnyqbo\"",
"\"arifyitlwj\""
],
[
"\"smcxegzdxbfd\"",
"\"nhxszbuysway\""
],
[
"\"jvtkgaecmqnpszjvf\"",
"\"eqofbvzxhliknueqa\""
],
[
"\"aurjwvkebktdv\"",
"\"vpmerqfzwfoyq\""
],
[
"\"nfmmmhjeliakugh\"",
"\"iahhhcezgdvfpbc\""
],
[
"\"eyfxptmpshohi\"",
"\"ztaskohkncjcd\""
],
[
"\"glaoltrkxsmxspdvow\"",
"\"bgvjgomfsnhsnkyqjr\""
],
[
"\"zwyupdxanebym\"",
"\"urtpkysvizwth\""
],
[
"\"xkoigfpvcvqcxcgeoq\"",
"\"sfjdbakqxqlxsxbzjl\""
],
[
"\"fgizxalyjcpkvkt\"",
"\"abdusvgtexkfqfo\""
],
[
"\"zirsuhlzwi\"",
"\"udmnpcgurd\""
],
[
"\"zhwqbyhkbqeomarlldcb\"",
"\"ucrlwtcfwlzjhvmggyxw\""
],
[
"\"rvshqbrvsxnjfjakul\"",
"\"mqnclwmqnsieaevfpg\""
],
[
"\"nktgcnuxplhfsm\"",
"\"ifobxipskgcanh\""
],
[
"\"baoiqymypxkvlrn\"",
"\"wvjdlthtksfqgmi\""
],
[
"\"nwagelwecafiphlj\"",
"\"irvbzgrzxvadkcge\""
],
[
"\"kbqtmzbujxumptcvyl\"",
"\"fwlohuwpesphkoxqtg\""
],
[
"\"dujvyrdslwf\"",
"\"ypeqtmyngra\""
],
[
"\"vujolzbqoqekvv\"",
"\"qpejguwljlzfqq\""
],
[
"\"hbbdoumleckjwhws\"",
"\"cwwyjphgzxfercrn\""
],
[
"\"aykhykkfnxckhmzndki\"",
"\"vtfctffaisxfchuiyfd\""
],
[
"\"wpidhybggvempzrfa\"",
"\"rkdyctwbbqzhkumav\""
],
[
"\"dwgrdroeuiduby\"",
"\"yrbmymjzpdypwt\""
],
[
"\"yptrachqjtgrgqxy\"",
"\"tkomvxcleobmblst\""
],
[
"\"gjragaaocfbadfbeebky\"",
"\"bemvbvvjxawvyawzzwft\""
],
[
"\"rnisigwzqqshj\"",
"\"midndbrullnce\""
],
[
"\"gzivhmjtyysqsuqubbur\"",
"\"budqcheottnlnplpwwpm\""
],
[
"\"gfmeiuvbyuuiiflplahw\"",
"\"bahzdpqwtppddagkgvcr\""
],
[
"\"iczpwzppirpxfm\"",
"\"dxukrukkdmksah\""
],
[
"\"hwtxjblmlsikphbivd\"",
"\"crosewghgndfkcwdqy\""
],
[
"\"fwzjefnnnjwhv\"",
"\"aruezaiiiercq\""
],
[
"\"sysvhbbqkh\"",
"\"ntnqcwwlfc\""
],
[
"\"lbwiwpvlcdtvh\"",
"\"gwrdrkqgxyoqc\""
],
[
"\"rlehhmhevv\"",
"\"mgzcchczqq\""
],
[
"\"qtrfjsocbsldii\"",
"\"lomaenjxwngydd\""
],
[
"\"eszhonrsle\"",
"\"znucjimngz\""
],
[
"\"jvzxprqiyfqfj\"",
"\"equskmldtalae\""
],
[
"\"wdzasevrfyobkbro\"",
"\"ryuvnzqmatjwfwmj\""
],
[
"\"hzvhjetyyntxiplf\"",
"\"cuqcezottiosdkga\""
],
[
"\"yfskmymfdjqooty\"",
"\"tanfhthayeljjot\""
],
[
"\"rrtepprngbbv\"",
"\"mmozkkmibwwq\""
],
[
"\"zsqaqzsbxtwpqa\"",
"\"unlvlunwsorklv\""
],
[
"\"kneyiarobkgl\"",
"\"fiztdvmjwfbg\""
],
[
"\"xxbudxuwlhi\"",
"\"sswpysprgcd\""
],
[
"\"fetivyuynb\"",
"\"azodqtptiw\""
],
[
"\"syswumgxpgxmcwzgedq\"",
"\"ntnrphbskbshxrubzyl\""
],
[
"\"xychwdsfyfoly\"",
"\"stxcrynatajgt\""
],
[
"\"nfwrujwavgavutrxuzsg\"",
"\"iarmpervqbvqpomspunb\""
],
[
"\"vuhhhndgmzkwplolb\"",
"\"qpccciybhufrkgjgw\""
],
[
"\"fwqxfhbqjbgryci\"",
"\"arlsacwlewbmtxd\""
],
[
"\"amzcptlnzkor\"",
"\"vhuxkogiufjm\""
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [] | null | python | HumanEval_50 |
def encode_shift(s: str):
"""
returns encoded string by shifting every character by 5 in the alphabet.
"""
return "".join([chr(((ord(ch) + 5 - ord("a")) % 26) + ord("a")) for ch in s])
def decode_shift(s: str):
"""
takes as input string encoded with encode_shift function. Returns decoded string.
"""
| [] | returns encoded string by shifting every character by 5 in the alphabet. |
def encode_shift(s: str):
"""
returns encoded string by shifting every character by 5 in the alphabet.
"""
return "".join([chr(((ord(ch) + 5 - ord("a")) % 26) + ord("a")) for ch in s])
def decode_shift(s: str):
"""
takes as input string encoded with encode_shift function. Returns decoded string.
"""
return "".join([chr(((ord(ch) - 5 - ord("a")) % 26) + ord("a")) for ch in s])
| decode_shift | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
"file_name": null,
"game": null,
"grades": null,
"grid": null,
"guess": null,
"h": null,
"interval1": null,
"interval2": null,
"k": null,
"l": null,
"l1": null,
"l2": null,
"lst": null,
"lst1": null,
"lst2": null,
"m": null,
"message": null,
"music_string": null,
"n": null,
"need": null,
"num": null,
"number": null,
"numbers": null,
"nums": null,
"operand": null,
"operations": null,
"operator": null,
"p": null,
"paren_string": null,
"planet1": null,
"planet2": null,
"prefix": null,
"q": null,
"remaining": null,
"s": [
"str"
],
"s0": null,
"s1": null,
"sentence": null,
"shift": null,
"string": null,
"strings": null,
"substring": null,
"t": null,
"test": null,
"text": null,
"threshold": null,
"txt": null,
"value": null,
"values": null,
"w": null,
"word": null,
"words": null,
"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"str"
]
} |
|
HumanEval | code_generation | [
[
"''",
"''"
],
[
"\"abcdef\\nghijklm\"",
"'bcdf\\nghjklm'"
],
[
"'fedcba'",
"'fdcb'"
],
[
"'eeeee'",
"''"
],
[
"'acBAA'",
"'cB'"
],
[
"'EcBOO'",
"'cB'"
],
[
"'ybcd'",
"'ybcd'"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"''",
"''"
],
[
"\"abcdef\\nghijklm\"",
"'bcdf\\nghjklm'"
],
[
"'abcdef'",
"'bcdf'"
],
[
"'aaaaa'",
"''"
],
[
"'aaBAA'",
"'B'"
],
[
"'zbcd'",
"'zbcd'"
]
] | null | python | HumanEval_51 |
def remove_vowels(text):
"""
remove_vowels is a function that takes string and returns string without vowels.
"""
| [] | remove_vowels is a function that takes string and returns string without vowels. |
def remove_vowels(text):
"""
remove_vowels is a function that takes string and returns string without vowels.
>>> remove_vowels('')
''
>>> remove_vowels("abcdef\nghijklm")
'bcdf\nghjklm'
>>> remove_vowels('abcdef')
'bcdf'
>>> remove_vowels('aaaaa')
''
>>> remove_vowels('aaBAA')
'B'
>>> remove_vowels('zbcd')
'zbcd'
"""
return "".join([s for s in text if s.lower() not in ["a", "e", "i", "o", "u"]])
| remove_vowels | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
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"c": null,
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"class_name": null,
"date": null,
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"game": null,
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"s1": null,
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"str"
],
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"words": null,
"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"str"
]
} |
|
HumanEval | code_generation | [
[
"[1, 2, 4, 10], 100",
"True"
],
[
"[1, 20, 4, 10], 5",
"False"
],
[
"[1, 20, 4, 10], 21",
"True"
],
[
"[1, 20, 4, 10], 22",
"True"
],
[
"[1, 8, 4, 10], 11",
"True"
],
[
"[1, 8, 4, 10], 10",
"False"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"[1, 2, 4, 10], 100",
"True"
],
[
"[1, 20, 4, 10], 5",
"False"
]
] | null | python | HumanEval_52 |
def below_threshold(l: list, t: int):
"""Return True if all numbers in the list l are below threshold t.
"""
| [] | Return True if all numbers in the list l are below threshold t. |
def below_threshold(l: list, t: int):
"""Return True if all numbers in the list l are below threshold t.
>>> below_threshold([1, 2, 4, 10], 100)
True
>>> below_threshold([1, 20, 4, 10], 5)
False
"""
for e in l:
if e >= t:
return False
return True
| below_threshold | {
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"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
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"date": null,
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"list"
],
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"l2": null,
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"lst1": null,
"lst2": null,
"m": null,
"message": null,
"music_string": null,
"n": null,
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"num": null,
"number": null,
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"nums": null,
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"planet2": null,
"prefix": null,
"q": null,
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"s": null,
"s0": null,
"s1": null,
"sentence": null,
"shift": null,
"string": null,
"strings": null,
"substring": null,
"t": [
"int"
],
"test": null,
"text": null,
"threshold": null,
"txt": null,
"value": null,
"values": null,
"w": null,
"word": null,
"words": null,
"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"bool"
]
} |
|
HumanEval | code_generation | [
[
"0, 1",
"1"
],
[
"1, 0",
"1"
],
[
"2, 3",
"5"
],
[
"5, 7",
"12"
],
[
"7, 5",
"12"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"2, 3",
"5"
],
[
"5, 7",
"12"
]
] | null | python | HumanEval_53 |
def add(x: int, y: int):
"""Add two numbers x and y
"""
| [] | Add two numbers x and y |
def add(x: int, y: int):
"""Add two numbers x and y
>>> add(2, 3)
5
>>> add(5, 7)
12
"""
return x + y
| add | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
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"dict": null,
"extensions": null,
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"game": null,
"grades": null,
"grid": null,
"guess": null,
"h": null,
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"lst1": null,
"lst2": null,
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"music_string": null,
"n": null,
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"number": null,
"numbers": null,
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"prefix": null,
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"sentence": null,
"shift": null,
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"strings": null,
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"text": null,
"threshold": null,
"txt": null,
"value": null,
"values": null,
"w": null,
"word": null,
"words": null,
"x": [
"int"
],
"xs": null,
"y": [
"int"
],
"z": null
},
"output": [
"int"
]
} |
|
HumanEval | code_generation | [
[
"'eabcdzzzz', 'dddzzzzzzzddeddabc'",
"True"
],
[
"'abcd', 'dddddddabc'",
"True"
],
[
"'dddddddabc', 'abcd'",
"True"
],
[
"'eabcd', 'dddddddabc'",
"False"
],
[
"'abcd', 'dddddddabcf'",
"False"
],
[
"'eabcdzzzz', 'dddzzzzzzzddddabc'",
"False"
],
[
"'aabb', 'aaccc'",
"False"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"'eabcdzzzz', 'dddzzzzzzzddeddabc'",
"True"
],
[
"'abcd', 'dddddddabc'",
"True"
],
[
"'dddddddabc', 'abcd'",
"True"
],
[
"'eabcd', 'dddddddabc'",
"False"
],
[
"'abcd', 'dddddddabce'",
"False"
],
[
"'eabcdzzzz', 'dddzzzzzzzddddabc'",
"False"
]
] | null | python | HumanEval_54 |
def same_chars(s0: str, s1: str):
"""
Check if two words have the same characters.
"""
| [] | Check if two words have the same characters. |
def same_chars(s0: str, s1: str):
"""
Check if two words have the same characters.
>>> same_chars('eabcdzzzz', 'dddzzzzzzzddeddabc')
True
>>> same_chars('abcd', 'dddddddabc')
True
>>> same_chars('dddddddabc', 'abcd')
True
>>> same_chars('eabcd', 'dddddddabc')
False
>>> same_chars('abcd', 'dddddddabce')
False
>>> same_chars('eabcdzzzz', 'dddzzzzzzzddddabc')
False
"""
return set(s0) == set(s1)
| same_chars | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
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"c": null,
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"class_name": null,
"date": null,
"decimal": null,
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"dict": null,
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"game": null,
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"planet2": null,
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"s": null,
"s0": [
"str"
],
"s1": [
"str"
],
"sentence": null,
"shift": null,
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"t": null,
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"txt": null,
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"values": null,
"w": null,
"word": null,
"words": null,
"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"bool"
]
} |
|
HumanEval | code_generation | [
[
"10",
"55"
],
[
"1",
"1"
],
[
"8",
"21"
],
[
"11",
"89"
],
[
"12",
"144"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"10",
"55"
],
[
"1",
"1"
],
[
"8",
"21"
]
] | null | python | HumanEval_55 |
def fib(n: int):
"""Return n-th Fibonacci number.
"""
| [] | Return n-th Fibonacci number. |
def fib(n: int):
"""Return n-th Fibonacci number.
>>> fib(10)
55
>>> fib(1)
1
>>> fib(8)
21
"""
if n == 0:
return 0
if n == 1:
return 1
return fib(n - 1) + fib(n - 2)
| fib | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
"file_name": null,
"game": null,
"grades": null,
"grid": null,
"guess": null,
"h": null,
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"k": null,
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"l2": null,
"lst": null,
"lst1": null,
"lst2": null,
"m": null,
"message": null,
"music_string": null,
"n": [
"int"
],
"need": null,
"num": null,
"number": null,
"numbers": null,
"nums": null,
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"planet2": null,
"prefix": null,
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"s0": null,
"s1": null,
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"shift": null,
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"substring": null,
"t": null,
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"threshold": null,
"txt": null,
"value": null,
"values": null,
"w": null,
"word": null,
"words": null,
"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"int"
]
} |
|
HumanEval | code_generation | [
[
"'<>'",
"True"
],
[
"'<<><>>'",
"True"
],
[
"'<><><<><>><>'",
"True"
],
[
"'<<<><>>>>'",
"False"
],
[
"'><<>'",
"False"
],
[
"'<'",
"False"
],
[
"'<<<<'",
"False"
],
[
"'>'",
"False"
],
[
"'<<>'",
"False"
],
[
"'<><><<><>><>><<>'",
"False"
],
[
"'<><><<><>><>>><>'",
"False"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"\"<\"",
"False"
],
[
"\"<>\"",
"True"
],
[
"\"<<><>>\"",
"True"
],
[
"\"><<>\"",
"False"
]
] | null | python | HumanEval_56 |
def correct_bracketing(brackets: str):
""" brackets is a string of "<" and ">".
return True if every opening bracket has a corresponding closing bracket.
"""
| [] | brackets is a string of "<" and ">".
return True if every opening bracket has a corresponding closing bracket. |
def correct_bracketing(brackets: str):
""" brackets is a string of "<" and ">".
return True if every opening bracket has a corresponding closing bracket.
>>> correct_bracketing("<")
False
>>> correct_bracketing("<>")
True
>>> correct_bracketing("<<><>>")
True
>>> correct_bracketing("><<>")
False
"""
depth = 0
for b in brackets:
if b == "<":
depth += 1
else:
depth -= 1
if depth < 0:
return False
return depth == 0
| correct_bracketing | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": [
"str"
],
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
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"dict": null,
"extensions": null,
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"game": null,
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"grid": null,
"guess": null,
"h": null,
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"k": null,
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"l2": null,
"lst": null,
"lst1": null,
"lst2": null,
"m": null,
"message": null,
"music_string": null,
"n": null,
"need": null,
"num": null,
"number": null,
"numbers": null,
"nums": null,
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"s0": null,
"s1": null,
"sentence": null,
"shift": null,
"string": null,
"strings": null,
"substring": null,
"t": null,
"test": null,
"text": null,
"threshold": null,
"txt": null,
"value": null,
"values": null,
"w": null,
"word": null,
"words": null,
"x": null,
"xs": null,
"y": null,
"z": null
},
"output": [
"bool"
]
} |
|
HumanEval | code_generation | [
[
"[1, 2, 4, 10]",
"True"
],
[
"[1, 2, 4, 20]",
"True"
],
[
"[1, 20, 4, 10]",
"False"
],
[
"[4, 1, 0, -10]",
"True"
],
[
"[4, 1, 1, 0]",
"True"
],
[
"[1, 2, 3, 2, 5, 60]",
"False"
],
[
"[1, 2, 3, 4, 5, 60]",
"True"
],
[
"[9, 9, 9, 9]",
"True"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"[1, 2, 4, 20]",
"True"
],
[
"[1, 20, 4, 10]",
"False"
],
[
"[4, 1, 0, -10]",
"True"
]
] | null | python | HumanEval_57 |
def monotonic(l: list):
"""Return True is list elements are monotonically increasing or decreasing.
"""
| [] | Return True is list elements are monotonically increasing or decreasing. |
def monotonic(l: list):
"""Return True is list elements are monotonically increasing or decreasing.
>>> monotonic([1, 2, 4, 20])
True
>>> monotonic([1, 20, 4, 10])
False
>>> monotonic([4, 1, 0, -10])
True
"""
if l == sorted(l) or l == sorted(l, reverse=True):
return True
return False
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},
"output": [
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]
} |
|
HumanEval | code_generation | [
[
"[1, 4, 3, 34, 653, 2, 5], [5, 7, 1, 5, 9, 653, 121]",
"[1, 5, 653]"
],
[
"[5, 3, 2, 8], [3, 2]",
"[2, 3]"
],
[
"[4, 3, 2, 8], [3, 2, 4]",
"[2, 3, 4]"
],
[
"[4, 3, 2, 8], []",
"[]"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype == np.float32
return False
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
assert np.allclose(out, exp, rtol=1e-07, atol=atol)
else:
assert exact_match
inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assertion(candidate(*inp), exp, 0) | [
[
"[1, 4, 3, 34, 653, 2, 5], [5, 7, 1, 5, 9, 653, 121]",
"[1, 5, 653]"
],
[
"[5, 3, 2, 8], [3, 2]",
"[2, 3]"
]
] | null | python | HumanEval_58 |
def common(l1: list, l2: list):
"""Return sorted unique common elements for two lists.
"""
| [] | Return sorted unique common elements for two lists. |
def common(l1: list, l2: list):
"""Return sorted unique common elements for two lists.
>>> common([1, 4, 3, 34, 653, 2, 5], [5, 7, 1, 5, 9, 653, 121])
[1, 5, 653]
>>> common([5, 3, 2, 8], [3, 2])
[2, 3]
"""
ret = set()
for e1 in l1:
for e2 in l2:
if e1 == e2:
ret.add(e1)
return sorted(list(ret))
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},
"output": [
"list"
]
} |
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