Datasets:

loubnabnl

/

humaneval_infilling

like 2

MultiLineInfilling/HumanEval/6/L0_L6

parse_nested_parens

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] """

else: depth -= 1 return max_depth return [parse_paren_group(x) for x in paren_string.split(' ') if x]

def parse_paren_group(s): depth = 0 max_depth = 0 for c in s: if c == '(': depth += 1 max_depth = max(depth, max_depth)

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L0_L7

parse_nested_parens

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] """

depth -= 1 return max_depth return [parse_paren_group(x) for x in paren_string.split(' ') if x]

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:

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L0_L8

parse_nested_parens

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] """

return max_depth return [parse_paren_group(x) for x in paren_string.split(' ') if x]

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

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L0_L10

parse_nested_parens

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] """

return [parse_paren_group(x) for x in paren_string.split(' ') if x]

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

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L0_L12

parse_nested_parens

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]

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L1_L1

parse_nested_parens

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):

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]

depth = 0

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L1_L2

parse_nested_parens

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):

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]

depth = 0 max_depth = 0

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L1_L3

parse_nested_parens

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):

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]

depth = 0 max_depth = 0 for c in s:

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L1_L4

parse_nested_parens

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 += 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]

depth = 0 max_depth = 0 for c in s: if c == '(':

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L1_L5

parse_nested_parens

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):

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]

depth = 0 max_depth = 0 for c in s: if c == '(': depth += 1

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L1_L6

parse_nested_parens

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):

else: depth -= 1 return max_depth return [parse_paren_group(x) for x in paren_string.split(' ') if x]

depth = 0 max_depth = 0 for c in s: if c == '(': depth += 1 max_depth = max(depth, max_depth)

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L1_L7

parse_nested_parens

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 -= 1 return max_depth return [parse_paren_group(x) for x in paren_string.split(' ') if x]

depth = 0 max_depth = 0 for c in s: if c == '(': depth += 1 max_depth = max(depth, max_depth) else:

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L1_L8

parse_nested_parens

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):

return max_depth return [parse_paren_group(x) for x in paren_string.split(' ') if x]

depth = 0 max_depth = 0 for c in s: if c == '(': depth += 1 max_depth = max(depth, max_depth) else: depth -= 1

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L1_L10

parse_nested_parens

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):

return [parse_paren_group(x) for x in paren_string.split(' ') if x]

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

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L1_L12

parse_nested_parens

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]

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L2_L2

parse_nested_parens

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

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]

max_depth = 0

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L2_L3

parse_nested_parens

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

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]

max_depth = 0 for c in s:

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L2_L4

parse_nested_parens

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

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]

max_depth = 0 for c in s: if c == '(':

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L2_L5

parse_nested_parens

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 = max(depth, max_depth) else: depth -= 1 return max_depth return [parse_paren_group(x) for x in paren_string.split(' ') if x]

max_depth = 0 for c in s: if c == '(': depth += 1

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L2_L6

parse_nested_parens

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

else: depth -= 1 return max_depth return [parse_paren_group(x) for x in paren_string.split(' ') if x]

max_depth = 0 for c in s: if c == '(': depth += 1 max_depth = max(depth, max_depth)

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L2_L7

parse_nested_parens

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

depth -= 1 return max_depth return [parse_paren_group(x) for x in paren_string.split(' ') if x]

max_depth = 0 for c in s: if c == '(': depth += 1 max_depth = max(depth, max_depth) else:

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L2_L8

parse_nested_parens

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

return max_depth return [parse_paren_group(x) for x in paren_string.split(' ') if x]

max_depth = 0 for c in s: if c == '(': depth += 1 max_depth = max(depth, max_depth) else: depth -= 1

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L2_L10

parse_nested_parens

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

return [parse_paren_group(x) for x in paren_string.split(' ') if x]

max_depth = 0 for c in s: if c == '(': depth += 1 max_depth = max(depth, max_depth) else: depth -= 1 return max_depth

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L2_L12

parse_nested_parens

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]

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L3_L3

parse_nested_parens

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

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]

for c in s:

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L3_L4

parse_nested_parens

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

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]

for c in s: if c == '(':

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L3_L5

parse_nested_parens

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

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]

for c in s: if c == '(': depth += 1

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L3_L6

parse_nested_parens

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

else: depth -= 1 return max_depth return [parse_paren_group(x) for x in paren_string.split(' ') if x]

for c in s: if c == '(': depth += 1 max_depth = max(depth, max_depth)

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L3_L7

parse_nested_parens

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

depth -= 1 return max_depth return [parse_paren_group(x) for x in paren_string.split(' ') if x]

for c in s: if c == '(': depth += 1 max_depth = max(depth, max_depth) else:

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L3_L8

parse_nested_parens

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

return max_depth return [parse_paren_group(x) for x in paren_string.split(' ') if x]

for c in s: if c == '(': depth += 1 max_depth = max(depth, max_depth) else: depth -= 1

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L3_L10

parse_nested_parens

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

return [parse_paren_group(x) for x in paren_string.split(' ') if x]

for c in s: if c == '(': depth += 1 max_depth = max(depth, max_depth) else: depth -= 1 return max_depth

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L3_L12

parse_nested_parens

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]

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L4_L4

parse_nested_parens

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:

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]

if c == '(':

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L4_L5

parse_nested_parens

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:

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]

if c == '(': depth += 1

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L4_L6

parse_nested_parens

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:

else: depth -= 1 return max_depth return [parse_paren_group(x) for x in paren_string.split(' ') if x]

if c == '(': depth += 1 max_depth = max(depth, max_depth)

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L4_L7

parse_nested_parens

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:

depth -= 1 return max_depth return [parse_paren_group(x) for x in paren_string.split(' ') if x]

if c == '(': depth += 1 max_depth = max(depth, max_depth) else:

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L4_L8

parse_nested_parens

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:

return max_depth return [parse_paren_group(x) for x in paren_string.split(' ') if x]

if c == '(': depth += 1 max_depth = max(depth, max_depth) else: depth -= 1

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L4_L10

parse_nested_parens

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:

return [parse_paren_group(x) for x in paren_string.split(' ') if x]

if c == '(': depth += 1 max_depth = max(depth, max_depth) else: depth -= 1 return max_depth

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L4_L12

parse_nested_parens

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]

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L5_L5

parse_nested_parens

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 == '(':

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]

depth += 1

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L5_L6

parse_nested_parens

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 == '(':

else: depth -= 1 return max_depth return [parse_paren_group(x) for x in paren_string.split(' ') if x]

depth += 1 max_depth = max(depth, max_depth)

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L5_L7

parse_nested_parens

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 return max_depth return [parse_paren_group(x) for x in paren_string.split(' ') if x]

depth += 1 max_depth = max(depth, max_depth) else:

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L5_L8

parse_nested_parens

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 == '(':

return max_depth return [parse_paren_group(x) for x in paren_string.split(' ') if x]

depth += 1 max_depth = max(depth, max_depth) else: depth -= 1

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L5_L10

parse_nested_parens

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 == '(':

return [parse_paren_group(x) for x in paren_string.split(' ') if x]

depth += 1 max_depth = max(depth, max_depth) else: depth -= 1 return max_depth

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L5_L12

parse_nested_parens

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]

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L6_L6

parse_nested_parens

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

else: depth -= 1 return max_depth return [parse_paren_group(x) for x in paren_string.split(' ') if x]

max_depth = max(depth, max_depth)

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L6_L7

parse_nested_parens

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

depth -= 1 return max_depth return [parse_paren_group(x) for x in paren_string.split(' ') if x]

max_depth = max(depth, max_depth) else:

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L6_L8

parse_nested_parens

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

return max_depth return [parse_paren_group(x) for x in paren_string.split(' ') if x]

max_depth = max(depth, max_depth) else: depth -= 1

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L6_L10

parse_nested_parens

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

return [parse_paren_group(x) for x in paren_string.split(' ') if x]

max_depth = max(depth, max_depth) else: depth -= 1 return max_depth

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L6_L12

parse_nested_parens

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]

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L7_L7

parse_nested_parens

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)

depth -= 1 return max_depth return [parse_paren_group(x) for x in paren_string.split(' ') if x]

else:

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L7_L8

parse_nested_parens

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)

return max_depth return [parse_paren_group(x) for x in paren_string.split(' ') if x]

else: depth -= 1

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L7_L10

parse_nested_parens

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)

return [parse_paren_group(x) for x in paren_string.split(' ') if x]

else: depth -= 1 return max_depth

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L7_L12

parse_nested_parens

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]

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L8_L8

parse_nested_parens

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:

return max_depth return [parse_paren_group(x) for x in paren_string.split(' ') if x]

depth -= 1

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L8_L10

parse_nested_parens

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:

return [parse_paren_group(x) for x in paren_string.split(' ') if x]

depth -= 1 return max_depth

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L8_L12

parse_nested_parens

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]

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L10_L10

parse_nested_parens

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 [parse_paren_group(x) for x in paren_string.split(' ') if x]

return max_depth

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L10_L12

parse_nested_parens

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]

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/6/L12_L12

parse_nested_parens

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]

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]

MultiLineInfilling/HumanEval/7/L0_L0

filter_by_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]

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([], 'john') == [] assert candidate(['xxx', 'asd', 'xxy', 'john doe', 'xxxAAA', 'xxx'], 'xxx') == ['xxx', 'xxxAAA', 'xxx'] assert candidate(['xxx', 'asd', 'aaaxxy', 'john doe', 'xxxAAA', 'xxx'], 'xx') == ['xxx', 'aaaxxy', 'xxxAAA', 'xxx'] assert candidate(['grunt', 'trumpet', 'prune', 'gruesome'], 'run') == ['grunt', 'prune']

MultiLineInfilling/HumanEval/8/L0_L0

sum_product

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) """

prod_value = 1 for n in numbers: sum_value += n prod_value *= n return sum_value, prod_value

sum_value = 0

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == (0, 1) assert candidate([1, 1, 1]) == (3, 1) assert candidate([100, 0]) == (100, 0) assert candidate([3, 5, 7]) == (3 + 5 + 7, 3 * 5 * 7) assert candidate([10]) == (10, 10)

MultiLineInfilling/HumanEval/8/L0_L1

sum_product

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) """

for n in numbers: sum_value += n prod_value *= n return sum_value, prod_value

sum_value = 0 prod_value = 1

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == (0, 1) assert candidate([1, 1, 1]) == (3, 1) assert candidate([100, 0]) == (100, 0) assert candidate([3, 5, 7]) == (3 + 5 + 7, 3 * 5 * 7) assert candidate([10]) == (10, 10)

MultiLineInfilling/HumanEval/8/L0_L3

sum_product

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 += n prod_value *= n return sum_value, prod_value

sum_value = 0 prod_value = 1 for n in numbers:

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == (0, 1) assert candidate([1, 1, 1]) == (3, 1) assert candidate([100, 0]) == (100, 0) assert candidate([3, 5, 7]) == (3 + 5 + 7, 3 * 5 * 7) assert candidate([10]) == (10, 10)

MultiLineInfilling/HumanEval/8/L0_L4

sum_product

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) """

prod_value *= n return sum_value, prod_value

sum_value = 0 prod_value = 1 for n in numbers: sum_value += n

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == (0, 1) assert candidate([1, 1, 1]) == (3, 1) assert candidate([100, 0]) == (100, 0) assert candidate([3, 5, 7]) == (3 + 5 + 7, 3 * 5 * 7) assert candidate([10]) == (10, 10)

MultiLineInfilling/HumanEval/8/L0_L5

sum_product

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) """

return sum_value, prod_value

sum_value = 0 prod_value = 1 for n in numbers: sum_value += n prod_value *= n

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == (0, 1) assert candidate([1, 1, 1]) == (3, 1) assert candidate([100, 0]) == (100, 0) assert candidate([3, 5, 7]) == (3 + 5 + 7, 3 * 5 * 7) assert candidate([10]) == (10, 10)

MultiLineInfilling/HumanEval/8/L0_L6

sum_product

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

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == (0, 1) assert candidate([1, 1, 1]) == (3, 1) assert candidate([100, 0]) == (100, 0) assert candidate([3, 5, 7]) == (3 + 5 + 7, 3 * 5 * 7) assert candidate([10]) == (10, 10)

MultiLineInfilling/HumanEval/8/L1_L1

sum_product

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

for n in numbers: sum_value += n prod_value *= n return sum_value, prod_value

prod_value = 1

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == (0, 1) assert candidate([1, 1, 1]) == (3, 1) assert candidate([100, 0]) == (100, 0) assert candidate([3, 5, 7]) == (3 + 5 + 7, 3 * 5 * 7) assert candidate([10]) == (10, 10)

MultiLineInfilling/HumanEval/8/L1_L3

sum_product

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

sum_value += n prod_value *= n return sum_value, prod_value

prod_value = 1 for n in numbers:

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == (0, 1) assert candidate([1, 1, 1]) == (3, 1) assert candidate([100, 0]) == (100, 0) assert candidate([3, 5, 7]) == (3 + 5 + 7, 3 * 5 * 7) assert candidate([10]) == (10, 10)

MultiLineInfilling/HumanEval/8/L1_L4

sum_product

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 *= n return sum_value, prod_value

prod_value = 1 for n in numbers: sum_value += n

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == (0, 1) assert candidate([1, 1, 1]) == (3, 1) assert candidate([100, 0]) == (100, 0) assert candidate([3, 5, 7]) == (3 + 5 + 7, 3 * 5 * 7) assert candidate([10]) == (10, 10)

MultiLineInfilling/HumanEval/8/L1_L5

sum_product

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

return sum_value, prod_value

prod_value = 1 for n in numbers: sum_value += n prod_value *= n

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == (0, 1) assert candidate([1, 1, 1]) == (3, 1) assert candidate([100, 0]) == (100, 0) assert candidate([3, 5, 7]) == (3 + 5 + 7, 3 * 5 * 7) assert candidate([10]) == (10, 10)

MultiLineInfilling/HumanEval/8/L1_L6

sum_product

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

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == (0, 1) assert candidate([1, 1, 1]) == (3, 1) assert candidate([100, 0]) == (100, 0) assert candidate([3, 5, 7]) == (3 + 5 + 7, 3 * 5 * 7) assert candidate([10]) == (10, 10)

MultiLineInfilling/HumanEval/8/L3_L3

sum_product

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

sum_value += n prod_value *= n return sum_value, prod_value

for n in numbers:

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == (0, 1) assert candidate([1, 1, 1]) == (3, 1) assert candidate([100, 0]) == (100, 0) assert candidate([3, 5, 7]) == (3 + 5 + 7, 3 * 5 * 7) assert candidate([10]) == (10, 10)

MultiLineInfilling/HumanEval/8/L3_L4

sum_product

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

prod_value *= n return sum_value, prod_value

for n in numbers: sum_value += n

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == (0, 1) assert candidate([1, 1, 1]) == (3, 1) assert candidate([100, 0]) == (100, 0) assert candidate([3, 5, 7]) == (3 + 5 + 7, 3 * 5 * 7) assert candidate([10]) == (10, 10)

MultiLineInfilling/HumanEval/8/L3_L5

sum_product

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

return sum_value, prod_value

for n in numbers: sum_value += n prod_value *= n

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == (0, 1) assert candidate([1, 1, 1]) == (3, 1) assert candidate([100, 0]) == (100, 0) assert candidate([3, 5, 7]) == (3 + 5 + 7, 3 * 5 * 7) assert candidate([10]) == (10, 10)

MultiLineInfilling/HumanEval/8/L3_L6

sum_product

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

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == (0, 1) assert candidate([1, 1, 1]) == (3, 1) assert candidate([100, 0]) == (100, 0) assert candidate([3, 5, 7]) == (3 + 5 + 7, 3 * 5 * 7) assert candidate([10]) == (10, 10)

MultiLineInfilling/HumanEval/8/L4_L4

sum_product

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:

prod_value *= n return sum_value, prod_value

sum_value += n

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == (0, 1) assert candidate([1, 1, 1]) == (3, 1) assert candidate([100, 0]) == (100, 0) assert candidate([3, 5, 7]) == (3 + 5 + 7, 3 * 5 * 7) assert candidate([10]) == (10, 10)

MultiLineInfilling/HumanEval/8/L4_L5

sum_product

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:

return sum_value, prod_value

sum_value += n prod_value *= n

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == (0, 1) assert candidate([1, 1, 1]) == (3, 1) assert candidate([100, 0]) == (100, 0) assert candidate([3, 5, 7]) == (3 + 5 + 7, 3 * 5 * 7) assert candidate([10]) == (10, 10)

MultiLineInfilling/HumanEval/8/L4_L6

sum_product

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

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == (0, 1) assert candidate([1, 1, 1]) == (3, 1) assert candidate([100, 0]) == (100, 0) assert candidate([3, 5, 7]) == (3 + 5 + 7, 3 * 5 * 7) assert candidate([10]) == (10, 10)

MultiLineInfilling/HumanEval/8/L5_L5

sum_product

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

return sum_value, prod_value

prod_value *= n

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == (0, 1) assert candidate([1, 1, 1]) == (3, 1) assert candidate([100, 0]) == (100, 0) assert candidate([3, 5, 7]) == (3 + 5 + 7, 3 * 5 * 7) assert candidate([10]) == (10, 10)

MultiLineInfilling/HumanEval/8/L5_L6

sum_product

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

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == (0, 1) assert candidate([1, 1, 1]) == (3, 1) assert candidate([100, 0]) == (100, 0) assert candidate([3, 5, 7]) == (3 + 5 + 7, 3 * 5 * 7) assert candidate([10]) == (10, 10)

MultiLineInfilling/HumanEval/8/L6_L6

sum_product

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

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == (0, 1) assert candidate([1, 1, 1]) == (3, 1) assert candidate([100, 0]) == (100, 0) assert candidate([3, 5, 7]) == (3 + 5 + 7, 3 * 5 * 7) assert candidate([10]) == (10, 10)

MultiLineInfilling/HumanEval/9/L0_L0

rolling_max

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] """

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

running_max = None

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == [] assert candidate([1, 2, 3, 4]) == [1, 2, 3, 4] assert candidate([4, 3, 2, 1]) == [4, 4, 4, 4] assert candidate([3, 2, 3, 100, 3]) == [3, 3, 3, 100, 100]

MultiLineInfilling/HumanEval/9/L0_L1

rolling_max

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] """

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

running_max = None result = []

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == [] assert candidate([1, 2, 3, 4]) == [1, 2, 3, 4] assert candidate([4, 3, 2, 1]) == [4, 4, 4, 4] assert candidate([3, 2, 3, 100, 3]) == [3, 3, 3, 100, 100]

MultiLineInfilling/HumanEval/9/L0_L3

rolling_max

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] """

if running_max is None: running_max = n else: running_max = max(running_max, n) result.append(running_max) return result

running_max = None result = [] for n in numbers:

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == [] assert candidate([1, 2, 3, 4]) == [1, 2, 3, 4] assert candidate([4, 3, 2, 1]) == [4, 4, 4, 4] assert candidate([3, 2, 3, 100, 3]) == [3, 3, 3, 100, 100]

MultiLineInfilling/HumanEval/9/L0_L4

rolling_max

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 = n else: running_max = max(running_max, n) result.append(running_max) return result

running_max = None result = [] for n in numbers: if running_max is None:

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == [] assert candidate([1, 2, 3, 4]) == [1, 2, 3, 4] assert candidate([4, 3, 2, 1]) == [4, 4, 4, 4] assert candidate([3, 2, 3, 100, 3]) == [3, 3, 3, 100, 100]

MultiLineInfilling/HumanEval/9/L0_L5

rolling_max

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] """

else: running_max = max(running_max, n) result.append(running_max) return result

running_max = None result = [] for n in numbers: if running_max is None: running_max = n

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == [] assert candidate([1, 2, 3, 4]) == [1, 2, 3, 4] assert candidate([4, 3, 2, 1]) == [4, 4, 4, 4] assert candidate([3, 2, 3, 100, 3]) == [3, 3, 3, 100, 100]

MultiLineInfilling/HumanEval/9/L0_L6

rolling_max

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 = max(running_max, n) result.append(running_max) return result

running_max = None result = [] for n in numbers: if running_max is None: running_max = n else:

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == [] assert candidate([1, 2, 3, 4]) == [1, 2, 3, 4] assert candidate([4, 3, 2, 1]) == [4, 4, 4, 4] assert candidate([3, 2, 3, 100, 3]) == [3, 3, 3, 100, 100]

MultiLineInfilling/HumanEval/9/L0_L7

rolling_max

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] """

result.append(running_max) return result

running_max = None result = [] for n in numbers: if running_max is None: running_max = n else: running_max = max(running_max, n)

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == [] assert candidate([1, 2, 3, 4]) == [1, 2, 3, 4] assert candidate([4, 3, 2, 1]) == [4, 4, 4, 4] assert candidate([3, 2, 3, 100, 3]) == [3, 3, 3, 100, 100]

MultiLineInfilling/HumanEval/9/L0_L9

rolling_max

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] """

return result

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)

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == [] assert candidate([1, 2, 3, 4]) == [1, 2, 3, 4] assert candidate([4, 3, 2, 1]) == [4, 4, 4, 4] assert candidate([3, 2, 3, 100, 3]) == [3, 3, 3, 100, 100]

MultiLineInfilling/HumanEval/9/L0_L11

rolling_max

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

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == [] assert candidate([1, 2, 3, 4]) == [1, 2, 3, 4] assert candidate([4, 3, 2, 1]) == [4, 4, 4, 4] assert candidate([3, 2, 3, 100, 3]) == [3, 3, 3, 100, 100]

MultiLineInfilling/HumanEval/9/L1_L1

rolling_max

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

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

result = []

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == [] assert candidate([1, 2, 3, 4]) == [1, 2, 3, 4] assert candidate([4, 3, 2, 1]) == [4, 4, 4, 4] assert candidate([3, 2, 3, 100, 3]) == [3, 3, 3, 100, 100]

MultiLineInfilling/HumanEval/9/L1_L3

rolling_max

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

if running_max is None: running_max = n else: running_max = max(running_max, n) result.append(running_max) return result

result = [] for n in numbers:

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == [] assert candidate([1, 2, 3, 4]) == [1, 2, 3, 4] assert candidate([4, 3, 2, 1]) == [4, 4, 4, 4] assert candidate([3, 2, 3, 100, 3]) == [3, 3, 3, 100, 100]

MultiLineInfilling/HumanEval/9/L1_L4

rolling_max

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

running_max = n else: running_max = max(running_max, n) result.append(running_max) return result

result = [] for n in numbers: if running_max is None:

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == [] assert candidate([1, 2, 3, 4]) == [1, 2, 3, 4] assert candidate([4, 3, 2, 1]) == [4, 4, 4, 4] assert candidate([3, 2, 3, 100, 3]) == [3, 3, 3, 100, 100]

MultiLineInfilling/HumanEval/9/L1_L5

rolling_max

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

else: running_max = max(running_max, n) result.append(running_max) return result

result = [] for n in numbers: if running_max is None: running_max = n

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == [] assert candidate([1, 2, 3, 4]) == [1, 2, 3, 4] assert candidate([4, 3, 2, 1]) == [4, 4, 4, 4] assert candidate([3, 2, 3, 100, 3]) == [3, 3, 3, 100, 100]

MultiLineInfilling/HumanEval/9/L1_L6

rolling_max

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

running_max = max(running_max, n) result.append(running_max) return result

result = [] for n in numbers: if running_max is None: running_max = n else:

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == [] assert candidate([1, 2, 3, 4]) == [1, 2, 3, 4] assert candidate([4, 3, 2, 1]) == [4, 4, 4, 4] assert candidate([3, 2, 3, 100, 3]) == [3, 3, 3, 100, 100]

MultiLineInfilling/HumanEval/9/L1_L7

rolling_max

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.append(running_max) return result

result = [] for n in numbers: if running_max is None: running_max = n else: running_max = max(running_max, n)

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == [] assert candidate([1, 2, 3, 4]) == [1, 2, 3, 4] assert candidate([4, 3, 2, 1]) == [4, 4, 4, 4] assert candidate([3, 2, 3, 100, 3]) == [3, 3, 3, 100, 100]

MultiLineInfilling/HumanEval/9/L1_L9

rolling_max

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

return result

result = [] for n in numbers: if running_max is None: running_max = n else: running_max = max(running_max, n) result.append(running_max)

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == [] assert candidate([1, 2, 3, 4]) == [1, 2, 3, 4] assert candidate([4, 3, 2, 1]) == [4, 4, 4, 4] assert candidate([3, 2, 3, 100, 3]) == [3, 3, 3, 100, 100]

MultiLineInfilling/HumanEval/9/L1_L11

rolling_max

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

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == [] assert candidate([1, 2, 3, 4]) == [1, 2, 3, 4] assert candidate([4, 3, 2, 1]) == [4, 4, 4, 4] assert candidate([3, 2, 3, 100, 3]) == [3, 3, 3, 100, 100]

MultiLineInfilling/HumanEval/9/L3_L3

rolling_max

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 = []

if running_max is None: running_max = n else: running_max = max(running_max, n) result.append(running_max) return result

for n in numbers:

METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == [] assert candidate([1, 2, 3, 4]) == [1, 2, 3, 4] assert candidate([4, 3, 2, 1]) == [4, 4, 4, 4] assert candidate([3, 2, 3, 100, 3]) == [3, 3, 3, 100, 100]