mertbozkir

mertbozkir

def search(nums, target) -> int:
        high = len(nums) - 1
        low, mid  = 0, 0
        
        while low <= high:
            mid = (high + low)// 2
        
            if nums[mid] < target:
                low = mid + 1
            

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class Solution:
    def reverse(self, x: int) -> int:
        ex = str(x)
        if ex[0] == "-":
            ex2 = ex[1:]
            print(ex2[::-1])
            if not((-2)**31 < int(ex2[::-1]) < 2**31 - 1):
                return 0
            return ex[0] + str(int(ex2[::-1]))
        else:

mertbozkir

import numpy as np
class Solution:
    def areaEdge(self, h_w: int, Cuts: List[int]) -> int:
        Cuts.insert(len(Cuts), h_w)
    
        temp_list = Cuts[:-1]
        temp_list.insert(0,0)
        
        Cuts.sort()
        temp_list.sort()

mertbozkir

def CodelandUsernameValidation(strParam):
  if (4<len(strParam)<25) or (strParam[0] != str) or strParam[-1] == "_":
    return False
  
  return True

# keep this function call here 
print(CodelandUsernameValidation(input()))

"""

mertbozkir

# Function that runs the requested algorithm and returns the accuracy metrics
def fit_ml_algo(algo, X_train, y_train, cv):
    
    # One Pass
    model = algo.fit(X_train, y_train)
    acc = round(model.score(X_train, y_train) * 100, 2)
    
    # Cross Validation
    train_pred = model_selection.cross_val_predict(algo,
                                                  X_train,

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