Initial Query

Write a function strides() that given an array of tokens T as numpy array, using strided trick, returns [T[0:50], T[10:60], T[20: 70] ... ]

LLM Generation

Query

Write a function strides() that given an array of tokens T as numpy array, using strided trick, returns [T[0:50], T[10:60], T[20: 70] ... ]

Output

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import numpy as np

def strides(T):
  """
  Given an array of tokens T as numpy array, using strided trick, returns [T[0:50], T[10:60], T[20: 70] ... ]

  Args:
    T: numpy array of tokens

  Returns:
    list of numpy arrays
  """

  strides = np.lib.stride_tricks.as_strided
  sub_arrays = []
  for i in range(50, len(T), 10):
    sub_array = strides(T[i-50:i], shape=(50,), strides=(T.strides[0],))
    sub_arrays.append(sub_array)
  return sub_arrays

Extract Code

I extracted the following code from that output: 

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import numpy as np

def strides(T):
  """
  Given an array of tokens T as numpy array, using strided trick, returns [T[0:50], T[10:60], T[20: 70] ... ]

  Args:
    T: numpy array of tokens

  Returns:
    list of numpy arrays
  """

  strides = np.lib.stride_tricks.as_strided
  sub_arrays = []
  for i in range(50, len(T), 10):
    sub_array = strides(T[i-50:i], shape=(50,), strides=(T.strides[0],))
    sub_arrays.append(sub_array)
  return sub_arrays

Check if all of the following conditions are true:

Substring Evaluation

Testing if the previous output contains the string as_strided: True

Run Code Interpreter

Running the following program: 

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import numpy as np

def strides(T):
  """
  Given an array of tokens T as numpy array, using strided trick, returns [T[0:50], T[10:60], T[20: 70] ... ]

  Args:
    T: numpy array of tokens

  Returns:
    list of numpy arrays
  """

  strides = np.lib.stride_tricks.as_strided
  sub_arrays = []
  for i in range(50, len(T), 10):
    sub_array = strides(T[i-50:i], shape=(50,), strides=(T.strides[0],))
    sub_arrays.append(sub_array)
  return sub_arrays





answer = strides(np.arange(100)).shape
expected = (6, 50)
assert answer == expected, f'Wrong answer; got {answer} instead of {expected}'

answer = strides(np.arange(100)).sum()
expected = 14850
assert answer == expected, f'Wrong answer; got {answer} instead of {expected}'
print('All tests passed')
And got the output: Traceback (most recent call last): File "/usr/src/app/main.py", line 26, in <module> answer = strides(np.arange(100)).shape ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ AttributeError: 'list' object has no attribute 'shape'

Substring Evaluation

Testing if the previous output contains the string All tests passed: False

Final Answer: False

Initial Query

Write a function strides() that given an array of tokens T as numpy array, using strided trick, returns [T[0:50], T[10:60], T[20: 70] ... ]

LLM Generation

Query

Write a function strides() that given an array of tokens T as numpy array, using strided trick, returns [T[0:50], T[10:60], T[20: 70] ... ]

Output

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import numpy as np

def strides(T):
  """
  Given an array of tokens T as numpy array, using strided trick, returns
  [T[0:50], T[10:60], T[20: 70] ... ]
  """
  stride = 10
  return [T[i:i+stride] for i in range(0, T.shape[0], stride)]

Extract Code

I extracted the following code from that output: 

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import numpy as np

def strides(T):
  """
  Given an array of tokens T as numpy array, using strided trick, returns
  [T[0:50], T[10:60], T[20: 70] ... ]
  """
  stride = 10
  return [T[i:i+stride] for i in range(0, T.shape[0], stride)]

Check if all of the following conditions are true:

Substring Evaluation

Testing if the previous output contains the string as_strided: False

Run Code Interpreter

Running the following program: 

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import numpy as np

def strides(T):
  """
  Given an array of tokens T as numpy array, using strided trick, returns
  [T[0:50], T[10:60], T[20: 70] ... ]
  """
  stride = 10
  return [T[i:i+stride] for i in range(0, T.shape[0], stride)]





answer = strides(np.arange(100)).shape
expected = (6, 50)
assert answer == expected, f'Wrong answer; got {answer} instead of {expected}'

answer = strides(np.arange(100)).sum()
expected = 14850
assert answer == expected, f'Wrong answer; got {answer} instead of {expected}'
print('All tests passed')
And got the output: Traceback (most recent call last): File "/usr/src/app/main.py", line 16, in <module> answer = strides(np.arange(100)).shape ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ AttributeError: 'list' object has no attribute 'shape'

Substring Evaluation

Testing if the previous output contains the string All tests passed: False

Final Answer: False

Initial Query

Write a function strides() that given an array of tokens T as numpy array, using strided trick, returns [T[0:50], T[10:60], T[20: 70] ... ]

LLM Generation

Query

Write a function strides() that given an array of tokens T as numpy array, using strided trick, returns [T[0:50], T[10:60], T[20: 70] ... ]

Output

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import numpy as np

def strides(T):
  """Given an array of tokens T as numpy array, using strided trick, returns
  [T[0:50], T[10:60], T[20: 70] ... ]
  """

  # Get the shape of the array
  shape = T.shape

  # Create a new array with the desired shape
  new_shape = (shape[0] - 50, 50)

  # Create a new array with the desired strides
  new_strides = (T.strides[0], T.strides[0])

  # Create a new array using the strided trick
  new_array = np.lib.stride_tricks.as_strided(T, new_shape, new_strides)

  # Return the new array
  return new_array

Extract Code

I extracted the following code from that output: 

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import numpy as np

def strides(T):
  """Given an array of tokens T as numpy array, using strided trick, returns
  [T[0:50], T[10:60], T[20: 70] ... ]
  """

  # Get the shape of the array
  shape = T.shape

  # Create a new array with the desired shape
  new_shape = (shape[0] - 50, 50)

  # Create a new array with the desired strides
  new_strides = (T.strides[0], T.strides[0])

  # Create a new array using the strided trick
  new_array = np.lib.stride_tricks.as_strided(T, new_shape, new_strides)

  # Return the new array
  return new_array

Check if all of the following conditions are true:

Substring Evaluation

Testing if the previous output contains the string as_strided: True

Run Code Interpreter

Running the following program: 

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import numpy as np

def strides(T):
  """Given an array of tokens T as numpy array, using strided trick, returns
  [T[0:50], T[10:60], T[20: 70] ... ]
  """

  # Get the shape of the array
  shape = T.shape

  # Create a new array with the desired shape
  new_shape = (shape[0] - 50, 50)

  # Create a new array with the desired strides
  new_strides = (T.strides[0], T.strides[0])

  # Create a new array using the strided trick
  new_array = np.lib.stride_tricks.as_strided(T, new_shape, new_strides)

  # Return the new array
  return new_array





answer = strides(np.arange(100)).shape
expected = (6, 50)
assert answer == expected, f'Wrong answer; got {answer} instead of {expected}'

answer = strides(np.arange(100)).sum()
expected = 14850
assert answer == expected, f'Wrong answer; got {answer} instead of {expected}'
print('All tests passed')
And got the output: Traceback (most recent call last): File "/usr/src/app/main.py", line 30, in <module> assert answer == expected, f'Wrong answer; got {answer} instead of {expected}' ^^^^^^^^^^^^^^^^^^ AssertionError: Wrong answer; got (50, 50) instead of (6, 50)

Substring Evaluation

Testing if the previous output contains the string All tests passed: False

Final Answer: False

Initial Query

Write a function strides() that given an array of tokens T as numpy array, using strided trick, returns [T[0:50], T[10:60], T[20: 70] ... ]

LLM Generation

Query

Write a function strides() that given an array of tokens T as numpy array, using strided trick, returns [T[0:50], T[10:60], T[20: 70] ... ]

Output

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import numpy as np

def strides(T):
    """
    Given an array of tokens T as numpy array, using strided trick,
    returns [T[0:50], T[10:60], T[20: 70] ... ]
    """
    # First get the desired shape
    new_shape = ((T.shape[0] -1) // 10 + 1, 10)

    # Get strides
    strides = T.strides * np.array([1, -1])

    return np.lib.stride_tricks.as_strided(T, new_shape, strides)

Extract Code

I extracted the following code from that output: 

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import numpy as np

def strides(T):
    """
    Given an array of tokens T as numpy array, using strided trick,
    returns [T[0:50], T[10:60], T[20: 70] ... ]
    """
    # First get the desired shape
    new_shape = ((T.shape[0] -1) // 10 + 1, 10)

    # Get strides
    strides = T.strides * np.array([1, -1])

    return np.lib.stride_tricks.as_strided(T, new_shape, strides)

Check if all of the following conditions are true:

Substring Evaluation

Testing if the previous output contains the string as_strided: True

Run Code Interpreter

Running the following program: 

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import numpy as np

def strides(T):
    """
    Given an array of tokens T as numpy array, using strided trick,
    returns [T[0:50], T[10:60], T[20: 70] ... ]
    """
    # First get the desired shape
    new_shape = ((T.shape[0] -1) // 10 + 1, 10)

    # Get strides
    strides = T.strides * np.array([1, -1])

    return np.lib.stride_tricks.as_strided(T, new_shape, strides)





answer = strides(np.arange(100)).shape
expected = (6, 50)
assert answer == expected, f'Wrong answer; got {answer} instead of {expected}'

answer = strides(np.arange(100)).sum()
expected = 14850
assert answer == expected, f'Wrong answer; got {answer} instead of {expected}'
print('All tests passed')
And got the output: Traceback (most recent call last): File "/usr/src/app/main.py", line 23, in <module> assert answer == expected, f'Wrong answer; got {answer} instead of {expected}' ^^^^^^^^^^^^^^^^^^ AssertionError: Wrong answer; got (10, 10) instead of (6, 50)

Substring Evaluation

Testing if the previous output contains the string All tests passed: False

Final Answer: False

Initial Query

Write a function strides() that given an array of tokens T as numpy array, using strided trick, returns [T[0:50], T[10:60], T[20: 70] ... ]

LLM Generation

Query

Write a function strides() that given an array of tokens T as numpy array, using strided trick, returns [T[0:50], T[10:60], T[20: 70] ... ]

Output

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import numpy as np

def strides(T):
    strides = np.lib.stride_tricks.as_strided(
        T, shape=(T.shape[0] - 50, 50), strides=(T.strides[0], T.strides[0])
    )
    return strides

Extract Code

I extracted the following code from that output: 

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import numpy as np

def strides(T):
    strides = np.lib.stride_tricks.as_strided(
        T, shape=(T.shape[0] - 50, 50), strides=(T.strides[0], T.strides[0])
    )
    return strides

Check if all of the following conditions are true:

Substring Evaluation

Testing if the previous output contains the string as_strided: True

Run Code Interpreter

Running the following program: 

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import numpy as np

def strides(T):
    strides = np.lib.stride_tricks.as_strided(
        T, shape=(T.shape[0] - 50, 50), strides=(T.strides[0], T.strides[0])
    )
    return strides





answer = strides(np.arange(100)).shape
expected = (6, 50)
assert answer == expected, f'Wrong answer; got {answer} instead of {expected}'

answer = strides(np.arange(100)).sum()
expected = 14850
assert answer == expected, f'Wrong answer; got {answer} instead of {expected}'
print('All tests passed')
And got the output: Traceback (most recent call last): File "/usr/src/app/main.py", line 16, in <module> assert answer == expected, f'Wrong answer; got {answer} instead of {expected}' ^^^^^^^^^^^^^^^^^^ AssertionError: Wrong answer; got (50, 50) instead of (6, 50)

Substring Evaluation

Testing if the previous output contains the string All tests passed: False

Final Answer: False