text: # Question
  
  In this exercise, we compute the distance between two points where the first is 2D and the second is 3D. How do we compute their difference when the dimensions are different?
  
  If we have points `p1` and `p2` represented as arrays and the dimension, that is, the size of the array, of `p1` is less than the dimension of `p2`. Then we make sense of the distance between these points by adding enough zeros to the end of the array for `p1` until the sizes of the arrays are equal. Explicitly, if `p1 = [1,0]` and `p2 = [1,1,1,1]`, then `Distance(p1,p2)` is the same as `Distance([1,0,0,0], p2)`.
  
  5 Likes
  
  Explicitly, if `p1 = [1,0]` and `p2 = [1,1,,1,1]` , then `Distance(p1,p2)` is the same as `Distance([1,0,0,0], p2)` .
  
  What does the empty space do at index 2 of the p2 list `p2 = [1,1,,1,1]` ?
  
  I feel like this would throw a syntax error.
  
  2 Likes
  
  Well spotted! You are right
  
  I edited the FAQ. Thank you very much.
  
  1 Like
  
  On point 2 with the code:
  
  Blockquote
  def euclidean_distance(pt1, pt2):
  distance = 0
  â# We will be adding code here nextâ
  for i in range(len(pt1)):
  distance += (pt1[i] - pt2[i]) ** 2
  
  It is giving me error:
  
  Blockquote
  Traceback (most recent call last):
  File âscript.pyâ, line 10, in
  for i in range(len(pt1)):
  NameError: name âpt1â is not defined
  
  Which is probably right pt1 and pt2 havenât been defined yet.
  
  Anyone else having similar issues?
  
  the for loop should be part of the function (body). There `pt1` is defined, its one of the function parameters.
  
  1 Like
  
  I know this question is two months old and youâve probably resolved the issue yourself, but just in case someone else comes along and sees this question, what I think is going on here is that you have indeed defined pt1 as a parameter of the function, but you are then using pt1 as a variable outside the function in your line âfor i in range(len(pt1)):â because itâs not indented (plus the indent problems for the for loop and the âdistance = 0â)
  
  I think if your code is otherwise fine if itâs just indented correctly.
  
  Happy coding.
  
  1 Like
  
  def euclidean_distance(pt1, pt2):
  distance = sum([(pt1[i] - pt2[i]) ** 2 for i in range(len(pt1))]) ** 0.5
  return distance
  
  1 Like
  
  Like @jimbeason pointed, the identation thing is very important, absolutely. Although, it seems that the step 2 will only works if you pass the the step 3 code in that ; it is, when you return the square root of distance.
explanation: The provided text is a discussion thread from a forum or similar platform, where users are discussing a math problem related to computing the distance between two points of different dimensions. The thread includes a question about the syntax of a list in Python and a question about a code implementation for computing the Euclidean distance. The text also contains answers to these questions.
distilabel_metadata.content: Evaluate the user given text extract and determine if it contains a math question and optionally and answer to this question.
  
  Output rules:
  
  1. Briefly describe the document and mention if it contains a question or a question and answer.
  2. Finalize the output with: Label: no-question,question,question-and-answer,multiple-question,multiple-question-and-answer
distilabel_metadata.role: system
distilabel_metadata.content: # Question
  
  In this exercise, we compute the distance between two points where the first is 2D and the second is 3D. How do we compute their difference when the dimensions are different?
  
  If we have points `p1` and `p2` represented as arrays and the dimension, that is, the size of the array, of `p1` is less than the dimension of `p2`. Then we make sense of the distance between these points by adding enough zeros to the end of the array for `p1` until the sizes of the arrays are equal. Explicitly, if `p1 = [1,0]` and `p2 = [1,1,1,1]`, then `Distance(p1,p2)` is the same as `Distance([1,0,0,0], p2)`.
  
  5 Likes
  
  Explicitly, if `p1 = [1,0]` and `p2 = [1,1,,1,1]` , then `Distance(p1,p2)` is the same as `Distance([1,0,0,0], p2)` .
  
  What does the empty space do at index 2 of the p2 list `p2 = [1,1,,1,1]` ?
  
  I feel like this would throw a syntax error.
  
  2 Likes
  
  Well spotted! You are right
  
  I edited the FAQ. Thank you very much.
  
  1 Like
  
  On point 2 with the code:
  
  Blockquote
  def euclidean_distance(pt1, pt2):
  distance = 0
  â# We will be adding code here nextâ
  for i in range(len(pt1)):
  distance += (pt1[i] - pt2[i]) ** 2
  
  It is giving me error:
  
  Blockquote
  Traceback (most recent call last):
  File âscript.pyâ, line 10, in
  for i in range(len(pt1)):
  NameError: name âpt1â is not defined
  
  Which is probably right pt1 and pt2 havenât been defined yet.
  
  Anyone else having similar issues?
  
  the for loop should be part of the function (body). There `pt1` is defined, its one of the function parameters.
  
  1 Like
  
  I know this question is two months old and youâve probably resolved the issue yourself, but just in case someone else comes along and sees this question, what I think is going on here is that you have indeed defined pt1 as a parameter of the function, but you are then using pt1 as a variable outside the function in your line âfor i in range(len(pt1)):â because itâs not indented (plus the indent problems for the for loop and the âdistance = 0â)
  
  I think if your code is otherwise fine if itâs just indented correctly.
  
  Happy coding.
  
  1 Like
  
  def euclidean_distance(pt1, pt2):
  distance = sum([(pt1[i] - pt2[i]) ** 2 for i in range(len(pt1))]) ** 0.5
  return distance
  
  1 Like
  
  Like @jimbeason pointed, the identation thing is very important, absolutely. Although, it seems that the step 2 will only works if you pass the the step 3 code in that ; it is, when you return the square root of distance.
distilabel_metadata.role: user
distilabel_metadata.raw_output_q_a_detector_0: The provided text is a discussion thread from a forum or similar platform, where users are discussing a math problem related to computing the distance between two points of different dimensions. The thread includes a question about the syntax of a list in Python and a question about a code implementation for computing the Euclidean distance. The text also contains answers to these questions.
  
  Label: multiple-question-and-answer