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benchmark_functions_edited/f2023.py
def f(iterable, default=None): return next(iter(iterable), default) assert f(range(5, 100)) == 5
benchmark_functions_edited/f4451.py
def f(input): return int(input, base=16) assert f('0x0000') == 0
benchmark_functions_edited/f3923.py
def f(e): return int(e[0]) assert f( ('1', 'C') ) == 1
benchmark_functions_edited/f4935.py
def f(z, l): if z > l: val = z - l elif z < -l: val = z + l else: val = 0 return val assert f(1, 1.5) == 0
benchmark_functions_edited/f9335.py
def f(n: int, k: int) -> int: if k > n: raise ValueError result = 1 for i in range(n - k + 1, n + 1): result *= i for i in range(2, k + 1): result /= i return int(result) assert f(4, 2) == 6
benchmark_functions_edited/f2898.py
def f(beta, x): a, b, c, d, e = beta return a * (1 - (b + c * (x - d))/((x - d) ** 2 + e ** 2)) assert f( (1, 0, 0, 0, 0), 1) == 1
benchmark_functions_edited/f1556.py
def f(n, r=1): for i in str(n): r *= max(int(i), 1) return r assert f(1) == 1
benchmark_functions_edited/f142.py
def f( h ): return int(h,16) assert f( '00' ) == 0
benchmark_functions_edited/f14513.py
def F_value (ER:float,EF:float,dfnum:float,dfden:float)->float: return ((ER-EF)/float(dfnum) / (EF/float(dfden))) assert f(1,1,2,2) == 0
benchmark_functions_edited/f7193.py
def f(player_pos, current_move): player_pos = (player_pos + current_move) % 10 if player_pos == 0: return 10 return player_pos assert f(5, 3) == 8
benchmark_functions_edited/f2965.py
def f(a: float, b: float, c: float, x: float) -> float: return ((a*x*x + b) * x*x) + c assert f(1, 1, 0, 0) == 0
benchmark_functions_edited/f1868.py
def f(num_copy): return 3 + 0.75 * (num_copy - 1) assert f(1) == 3
benchmark_functions_edited/f11228.py
def f(js, key, default=None, take_none=True): if key not in js: return default if js[key] is None and not take_none: return default return js[key] assert f(dict(), "foo", 1) == 1
benchmark_functions_edited/f4007.py
def f(n): a, b = 0, 1 for i in range(n): a, b = b, a + b return a assert f(1) == 1
benchmark_functions_edited/f14556.py
def f(shape, subtpl): if len(shape) != 2 or len(shape) != len(subtpl): raise IndexError("Input size and subscripts must have length 2 and " "be equal in length") row, col = subtpl ny, nx = shape ind = nx*row + col return ind assert f((2, 2), (1, 0)) == 2
benchmark_functions_edited/f11987.py
def f(pred, iterable, default=None): # f([a,b,c], x) --> a or b or c or x # f([a,b], x, f) --> a if f(a) else b if f(b) else x return next(filter(pred, iterable), default) assert f(lambda x: x > 5, range(10)) == 6
benchmark_functions_edited/f5449.py
def f(lst): return max([abs(x) for x in lst]) assert f([-5, -5, -5]) == 5
benchmark_functions_edited/f12688.py
def f(samples_obj): allele_count = 0 for sampleid, value in samples_obj.items(): allele_count += value["allele_count"] return allele_count assert f( { "sample_1": {"allele_count": 1}, "sample_2": {"allele_count": 2}, "sample_3": {"allele_count": 3}, } ) == 6
benchmark_functions_edited/f5904.py
def f(x, de, logtau0, a, b, einf): return ( de / ( 1 + ( 1j * x * 10**logtau0 )**a )**b + einf ) * ( 1j * x * 8.854187817 * 10**(-12) ) assert f(0, 1, 1, 1, 1, 1) == 0
benchmark_functions_edited/f9428.py
def f(str_to_add, dns_names): if str_to_add not in dns_names: dns_names.append(str_to_add) return dns_names.index(str_to_add) assert f(1, []) == 0
benchmark_functions_edited/f4910.py
def f(seq_header_len): if seq_header_len > 255: return 4 if seq_header_len > 127: return 3 return 2 assert f(10) == 2
benchmark_functions_edited/f396.py
def f(y, alpha=0.02): return pow(y, alpha) assert f(1, 0.5) == 1
benchmark_functions_edited/f11144.py
def f(series, params, offset): return params[-1] + sum([params[i] * series[offset-i] for i in range(len(params) - 1)]) assert f( [1, 2, 3], [1, 0, 0], 1 ) == 2
benchmark_functions_edited/f2098.py
def f(json_data): return json_data['@odata.count'] assert f( {'some_key': 5, '@odata.count': 1, 'other_key': 99}) == 1
benchmark_functions_edited/f12068.py
def f(input_size, conv_size, stride, pad): if input_size is None: return None without_stride = input_size + 2 * pad - conv_size + 1 # equivalent to np.ceil(without_stride / stride) output_size = (without_stride + stride - 1) // stride return output_size assert f(10, 5, 1, 1) == 8
benchmark_functions_edited/f10351.py
def f(obj, methodName): method = getattr(obj, methodName) if hasattr(obj, '__call_arguments'): ret = method(*obj.__call_arguments) del obj.__call_arguments return ret return method() assert f(1, 'bit_length') == 1
benchmark_functions_edited/f13155.py
def f(n, k): if n < 0 or k < 0: raise Exception("Error: Negative argument in binomial coefficient!") if n < k: return 0 if n == k: return 1 if k == 0: return 1 if k < n - k: delta = n - k iMax = k else: delta = k iMax = n - k ans = delta + 1 for i in range(2, iMax + 1): ans = (ans * (delta + i)) / i return ans assert f(7, 1) == 7
benchmark_functions_edited/f2724.py
def f(conf): TN, FP, FN, TP = conf if (TN + FN) == 0: return 0 return TN / float(TN + FN) assert f([1, 0, 0, 0]) == 1
benchmark_functions_edited/f3091.py
def f(number): _ = 0 while number: _, number = _ + number%10, number // 10 return _ assert f(9) == 9
benchmark_functions_edited/f7515.py
def f(comment: str) -> int: return len(comment.split()) assert f("") == 0
benchmark_functions_edited/f11787.py
def f(input_shape): idx = [i for i, s in enumerate(input_shape) if s == -1] assert len(idx) == 1 return idx[0] assert f((-1, 20)) == 0
benchmark_functions_edited/f262.py
def f(x): return int(x + 1 - x % 2) assert f(5) == 5
benchmark_functions_edited/f10792.py
def f(array, reverse=True, sort_by_key=False): if isinstance(array, dict): if not sort_by_key: return sorted(array.items(), key=lambda x: x[1], reverse=reverse) return sorted(array.items(), key=lambda x: str(x[0]).lower(), reverse=reverse) return array assert f(1) == 1
benchmark_functions_edited/f13990.py
def f(col): # Convert column index e.g. 'A', 'BZ' etc to # integer equivalent idx = 0 i = 0 for c in col[::-1]: idx = idx + pow(26,i)*(ord(c)-64) i += 1 return idx-1 assert f('A') == 0
benchmark_functions_edited/f1124.py
def f(lst): return sum([abs(x) for x in lst]) assert f([]) == 0
benchmark_functions_edited/f78.py
def f(p,q): return (p-1)*(q-1) assert f(2,5) == 4
benchmark_functions_edited/f1027.py
def f(O, E): return (O - E) / E assert f(*[0.3333333333333333, 0.3333333333333333]) == 0
benchmark_functions_edited/f8782.py
def f(a, b): fp = 0 for item in a: if item not in b: fp += 1 return fp assert f({1, 2, 3}, {1, 2}) == 1
benchmark_functions_edited/f7528.py
def f(level: int) -> int: levels = {4: 1, 5: 3, 6: 5} return levels[level] if isinstance(level, int) and level in levels else 0 assert f(3) == 0
benchmark_functions_edited/f14361.py
def f(string: str, substring: str) -> int: i_str: int = 0 l_str: int = len(string) l_sub: int = len(substring) while i_str <= l_str - l_sub: index = 0 while index < l_sub and string[index + i_str] == substring[index]: index += 1 if index >= l_sub: return i_str elif index + i_str >= l_str: return -1 i_str += 1 return -1 assert f( "test string", "test ") == 0
benchmark_functions_edited/f13334.py
def f(s): try: return int(s) except ValueError: return s assert f(1) == 1
benchmark_functions_edited/f8382.py
def f(note_str): notes = ["C", "C#", "D", "D#", "E", "F", "F#", "G", "G#", "A", "A#", "B"] return(notes.index(note_str)) assert f("D") == 2
benchmark_functions_edited/f12221.py
def f(f_t1, f_t2, args): if args['token_similarity_change'] == 'abs': fd = abs(f_t2 - f_t1) / max(f_t2, f_t1) else: fd = (f_t2 - f_t1) / max(f_t2, f_t1) return fd assert f(2, 2, {'token_similarity_change':'rel'}) == 0
benchmark_functions_edited/f3256.py
def f(n): ndx = 0 while ( 1 < n ): n = ( n >> 1 ) ndx += 1 return ndx assert f(0b00100001) == 5
benchmark_functions_edited/f1011.py
def f(x,n): return x.upper().count(n.upper()) assert f('AAAA', 'A') == 4
benchmark_functions_edited/f6319.py
def f(num: int) -> int: if num == 0: return 1 digits: int = 0 while num != 0: digits += 1 num = int(num / 10) return digits assert f(99999) == 5
benchmark_functions_edited/f3918.py
def f(steps_per_quarter, qpm): return steps_per_quarter * qpm / 60.0 assert f(4, 30) == 2
benchmark_functions_edited/f8627.py
def f(state): for i in range(0,len(state)): if state[i] == "_": return i break else: None assert f( "_1_2_3_4_5_6_7_8" ) == 0
benchmark_functions_edited/f10596.py
def f(hash: bytes) -> int: return ((0xFC & hash[0]) << 5) | (hash[-1] & 0x7F) assert f(bytes([0x01, 0x00, 0x00, 0x00])) == 0
benchmark_functions_edited/f2908.py
def f(): print('Hi, I am a simple function') return 1 assert f(**{}) == 1
benchmark_functions_edited/f12098.py
def f(ebit, debt, equity): return ebit / (debt - equity) assert f(100, 100, 0) == 1
benchmark_functions_edited/f6121.py
def f(limit, lower, upper): return min(max(lower, limit), upper) assert f(-4, 0, 2) == 0
benchmark_functions_edited/f5717.py
def f(request_queue, request_id): for request in request_queue: if request[0] == request_id: return request_queue.index(request) assert f( [('A', '2'), ('B', '4'), ('C', '1'), ('D', '5')], 'A') == 0
benchmark_functions_edited/f2481.py
def f(tree): return 1 + f(tree.left) + f(tree.right) if tree else 0 assert f(None) == 0
benchmark_functions_edited/f848.py
def f(lst): return sum(lst) / len(lst) assert f([1, 3]) == 2
benchmark_functions_edited/f9209.py
def f(predictions, target, confidence): targets_identified = [ pred for pred in predictions if pred['label'] == target and float(pred['confidence']) >= confidence] return len(targets_identified) assert f( [ {'label': 'person', 'confidence': '0.98'}, {'label': 'car', 'confidence': '0.94'}, {'label': 'cat', 'confidence': '0.87'}, {'label': 'person', 'confidence': '0.98'}, {'label': 'car', 'confidence': '0.94'} ], 'dog', 0.85 ) == 0
benchmark_functions_edited/f493.py
def f(a, b, adder2_offset=0): return (a + b) + adder2_offset assert f(1, 1, 0) == 2
benchmark_functions_edited/f9661.py
def f(min_val, max_val, percentage): value_range = max_val - min_val return min_val + int(percentage * value_range) assert f(4, 0, 1) == 0
benchmark_functions_edited/f653.py
def f(px): return ((px & ~7) // 2) + (px & 7) assert f(0) == 0
benchmark_functions_edited/f3066.py
def f(v): b = 0 while v != 0: v //= 2 b += 1 return b assert f(0b1) == 1
benchmark_functions_edited/f2027.py
def f(level): return int((level * 255) / 100) assert f(0) == 0
benchmark_functions_edited/f14216.py
def f( prev1_start, prev1_haplo, curr1_haplo, prev2_start, prev2_haplo, curr2_haplo): earliest_start = None if prev1_haplo == curr1_haplo: earliest_start = prev1_start if prev2_haplo == curr2_haplo: if earliest_start is None or prev2_start < prev1_start: earliest_start = prev2_start return earliest_start assert f(1, 1, 1, 1, 1, 2) == 1
benchmark_functions_edited/f11268.py
def f(data, index): maxValue = [-99999, 0] for i in data: if i[index] > maxValue[0]: maxValue[0] = i[index] maxValue[1] = i[0] return maxValue[1] assert f([(1, 1), (2, 2), (3, 3)], 0) == 3
benchmark_functions_edited/f7328.py
def f(x, coef): result = 0 for c in coef: result = result * x + c return result assert f(0, [1, 2, 3, 4, 5, 6, 7]) == 7
benchmark_functions_edited/f7557.py
def f(hand_value): if hand_value + 11 > 21: value = 1 else: value = 11 return value assert f(25) == 1
benchmark_functions_edited/f10687.py
def f(c, dc, D_fn): # computes diffusivity at given concentration and one step size away [m^2/s] D1 = D_fn(c) D2 = D_fn(c + dc) # computes dD/dc using forward difference formula [m^2/s / kg/m^3] dDdc = (D2 - D1) / dc return dDdc assert f(0, 0.01, lambda c: 1.0) == 0
benchmark_functions_edited/f5187.py
def f(meters: float, units: str) -> float: if units == 'english': return meters * 3.2808 else: return meters assert f(0, 'english') == 0
benchmark_functions_edited/f6835.py
def f(mydict, the_val): for key, val in mydict.items(): if val == the_val: return key return None assert f( dict.fromkeys( [1, 2], 'one'), 'one') == 1
benchmark_functions_edited/f1690.py
def f(*args): n = len(args) return (sum([abs(arg)**2 for arg in args]))**(1/2) assert f(0, 0) == 0
benchmark_functions_edited/f8343.py
def f(n, k): if k > n // 2: k = n - k x = 1 y = 1 i = n - k + 1 while i <= n: x = (x * i) // y y += 1 i += 1 return x assert f(5, 4) == 5
benchmark_functions_edited/f12996.py
def f(points, i, j, k): # FIXME: add doc a = points[0][j] - points[0][i] b = points[1][j] - points[1][i] c = points[0][k] - points[0][i] d = points[1][k] - points[1][i] # Determinant r = 0.5 * (a * d - b * c) if r == 0: return 0 elif r > 0: return 1 else: return -1 assert f( [(0, 0), (1, 1), (2, 2)], 0, 1, 1) == 0
benchmark_functions_edited/f2004.py
def f(ecc): if ecc == 0: return(2) else: return(1) assert f(1.0) == 1
benchmark_functions_edited/f5916.py
def f(kernel_size, dilation): kernel_size = kernel_size + (kernel_size-1)*(dilation-1) padding = (kernel_size-1) // 2 return padding assert f(3, 1) == 1
benchmark_functions_edited/f5661.py
def f(n): if not 0.0 <= n <= 1.0: raise ValueError('Argument must be between 0.0 and 1.0.') return n assert f(1) == 1
benchmark_functions_edited/f14104.py
def f(hyper): if hasattr(hyper, "size"): return hyper.size elif isinstance(hyper, (list, tuple)): return len(hyper) elif hasattr(hyper, "rvs"): return 10 # heuristic else: return 1 assert f("string") == 1
benchmark_functions_edited/f3224.py
def f(n): if n == 0 or n == 1: return 1 else: return f(n-1) + f(n-2) assert f(5) == 8
benchmark_functions_edited/f13303.py
def f(obj, quiet=False): # Try "2" -> 2 try: return int(obj) except (ValueError, TypeError): pass # Try "2.5" -> 2 try: return int(float(obj)) except (ValueError, TypeError): pass # Eck, not sure what this is then. if not quiet: raise TypeError("Can not translate %s to an integer." % (obj)) return obj assert f(0.0) == 0
benchmark_functions_edited/f4960.py
def f(lwup_sfc, lwup_sfc_clr, lwdn_sfc, lwdn_sfc_clr): return lwup_sfc - lwup_sfc_clr - lwdn_sfc + lwdn_sfc_clr assert f(0, 0, 0, 0) == 0
benchmark_functions_edited/f5400.py
def f(singles, doubles): r = float(singles)/doubles return doubles*(.5*r**2 + r**3 + .24*r**4) assert f(0, 3) == 0
benchmark_functions_edited/f520.py
def f(myList): return myList[0]**3-1 #return (myList[1]+1)**(1/3) assert f([1, 2]) == 0
benchmark_functions_edited/f7100.py
def f(days: list) -> int: progress = 0 for index, day in enumerate(days): if index+1 < len(days): progress += 1 if day < days[index+1] else 0 return progress assert f( [100, 100, 100, 100, 100, 100, 100, 100, 100, 90, 90, 90, 90, 90, 90, 90, 90, 90]) == 0
benchmark_functions_edited/f12753.py
def f(adapters): adapters.append(0) adapters.sort() combinations = dict.fromkeys(adapters, 0) combinations[0] = 1 for adapter in adapters: for diff in range(1, 4): if adapter + diff in adapters: combinations[adapter + diff] += combinations[adapter] return combinations[adapters[-1]] assert f( [16, 10, 15, 5, 1, 11, 7, 19, 6, 12, 4]) == 8
benchmark_functions_edited/f3642.py
def f(n): return n[0][0] assert f([[2, 0], 0]) == 2
benchmark_functions_edited/f4585.py
def f(input_list): if len(input_list) != 0: return sum(input_list)/len(input_list) else: return 0 assert f([1,2,3,4,5]) == 3
benchmark_functions_edited/f6105.py
def f(x, y): if y > x: x, y = y, x r = x % y if r == 0: return y else: result = f(y, r) return result assert f(8, 10) == 2
benchmark_functions_edited/f2552.py
def f(s1, s2): return sum(s1[i] == s2[i] for i in range(min(len(s1), len(s2)))) assert f( "A", "G", ) == 0
benchmark_functions_edited/f11970.py
def f(value, bins): for index, bin in enumerate (bins): # assumes bins in increasing order if value < bin: return index-1 print (' overflow ! ', value , ' out of range ' , bins) return bins.size-2 assert f(-1, [-1, 0, 1]) == 0
benchmark_functions_edited/f1096.py
def f(x, y): return 1 - (1-x) * (1-y) assert f(1, 0) == 1
benchmark_functions_edited/f9403.py
def f(limbs): n = 0 c = 0 shift = 0 mask = (1 << 30) - 1 for i in range(9): n += ((limbs[i] & mask) + c) << shift c = limbs[i] >> 30 shift += 30 return n assert f(bytes([0, 0, 0, 0, 0, 0, 0, 0, 0])) == 0
benchmark_functions_edited/f9600.py
def f(p_jugada, p_total): if p_jugada == p_total: p_jugada = 0 return p_jugada assert f(1, 0) == 1
benchmark_functions_edited/f7149.py
def f(p,q): same = 0 for i in p: if i in q: same += 1 n = same vals = range(n) distance = sum(abs(p[i] - q[i]) for i in vals) return distance assert f( [1, 3, 5], [1, 3, 5] ) == 0
benchmark_functions_edited/f1429.py
def f(acc_index): return int(acc_index[0:4]) assert f("0000-00000") == 0
benchmark_functions_edited/f10236.py
def f(c, freq, ref_freq): return ((freq - ref_freq[c]) ** 2 / ref_freq[c] if c in ref_freq else 0 if c in ('\n', '\'', '"', ',', '-', '.', '?', '!', '-') else 1) assert f(1, 0.3, {1: 0.3}) == 0
benchmark_functions_edited/f2033.py
def f(l): # warning, pass-by-ref so WILL modify input arg return l.pop() if l[-1] >= l[0] else l.pop(0) assert f([3, 2, 3, 2, 3, 2, 1, 1, 2, 8]) == 8
benchmark_functions_edited/f11859.py
def f(u1, u2): # utility function value generation diff = u2 - u1 y = 1*(diff > 0.) #p = probit_link_func(3*diff) #y = bernoulli.rvs(p) return y assert f(200, 100) == 0
benchmark_functions_edited/f3889.py
def f(conf_mtx): [tp, fp], [fn, tn] = conf_mtx r = tn + fp return fp / r if r > 0 else 0 assert f( [[1, 0], [0, 2]]) == 0
benchmark_functions_edited/f6946.py
def f(p): return 2 * max(p - 0.5, 0) assert f(1) == 1
benchmark_functions_edited/f9656.py
def f(labels, label_to_ix): end_position = len(labels) - 1 for position, label in enumerate(labels): if label == label_to_ix['<pad>']: end_position = position break return end_position assert f(['a', 'b', '<pad>'], {'a':0, 'b':1, '<pad>':2}) == 2
benchmark_functions_edited/f7327.py
def f(n, minn, maxn): return max(min(maxn, n), minn) assert f(5, 3, 5) == 5
benchmark_functions_edited/f11408.py
def f(number): if not isinstance(number, int): raise Exception('Enter an integer number to find the factorial') if number == 1 or number == 2: return 1 else: return number * f(number - 1) assert f(1) == 1