Python solution to Advent of Code, day 3












3














In an effort to stretch my programming muscles, I'm doing the Advent of Code 2018 in a language new to me: Python. Coming from a C# background, I'm probably making all kinds of mistakes or are unaware of some usefull things in Python. This is my solution to day 3, and I would like to get a review on my code. I'm interested in both better ways to solve the problem using Python's tools, but also anything that has to do with style (I tried applying PEP8 rules), readability, etc. Thanks!



The full challenge is here and a bit involved, I'll try to keep it a bit shorter here.




The challenge



The Elves managed to locate the chimney-squeeze prototype fabric for Santa's suit. Unfortunately, nobody can even agree on how to cut the fabric. The whole piece of fabric they're working on is a very large square - at least 1000 inches on each side.



Each Elf has made a claim about which area of fabric would be ideal for Santa's suit. All claims have an ID and consist of a single rectangle with edges parallel to the edges of the fabric. Each claim's rectangle is defined as follows:




  • The number of inches between the left edge of the fabric and the left edge of the rectangle.

  • The number of inches between the top edge of the fabric and the top edge of the rectangle.

  • The width of the rectangle in inches.

  • The height of the rectangle in inches.


A claim like #123 @ 3,2: 5x4 means that claim ID 123 specifies a rectangle 3 inches from the left edge, 2 inches from the top edge, 5 inches wide, and 4 inches tall. The problem is that many of the claims overlap, causing two or more claims to cover part of the same areas. For example, consider the following claims:



- #1 @ 1,3: 4x4
- #2 @ 3,1: 4x4
- #3 @ 5,5: 2x2


Visually, these claim the following areas:



........
...2222.
...2222.
.11XX22.
.11XX22.
.111133.
.111133.
........


The four square inches marked with X are claimed by both 1 and 2. (Claim 3, while adjacent to the others, does not overlap either of them.) If the Elves all proceed with their own plans, none of them will have enough fabric. How many square inches of fabric are within two or more claims?




This puzzle also comes with custom puzzle input. I can provide mine, but it's 1350 lines long. The example above provides the way the input is formatted.



Day3.py



class Claim(object):
id = None
x = None
y = None
width = None
height = None

def __init__(self, claim_id, x, y, width, height):
self.id = claim_id
self.x = x
self.y = y
self.width = width
self.height = height

def __repr__(self):
return "<Claim #%s - %s, %s - %sx%s>" % (self.id, self.x, self.y, self.width, self.height)


def read_file_lines(file_path, strip_lines=True):
""" Reads the specified file and returns it's lines an array
file_path: the path to the file
strip_lines (default: true): boolean to indicate whether or not to strip leading and trailing whitespace from each line

Returns: An array of the lines in the file as string
"""
with open(file_path, "r") as f:
if strip_lines:
return [l.strip() for l in f.readlines()]

return [l for l in f.readlines()]


def parse_input(lines):
claims =
for line in lines:
parts = line.split(" ")

id = int(parts[0][1:])
x = int(parts[2].split(",")[0])
y = int(parts[2].split(",")[1][:-1])
width = int(parts[3].split("x")[0])
height = int(parts[3].split("x")[1])

claims.append(Claim(id, x, y, width, height))

return claims


def generate_matrix(size):
return [[0]*size for _ in range(size)]


def print_matrix(matrix):
line = ""
for y in range(0, len(matrix[0])):
line = line + str(y) + ": "
for x in range(0, len(matrix[0])):
line = line + str(matrix[x][y])
print(line)
line = ""


if __name__ == '__main__':
content = read_file_lines("input.txt")
claims = parse_input(content)

matrix = generate_matrix(1000)
print_matrix(matrix)

for claim in claims:
x_indexes = range(claim.x, claim.x + claim.width)
y_indexes = range(claim.y, claim.y + claim.height)

for x in x_indexes:
for y in y_indexes:
matrix[x][y] = matrix[x][y] + 1

print_matrix(matrix)

inches_double_claimed = 0
for x in range(0, len(matrix[0])):
for y in range(0, len(matrix[0])):
if matrix[x][y] >= 2:
inches_double_claimed += 1

print("Inches claimed by two or more claims:", inches_double_claimed)









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    3














    In an effort to stretch my programming muscles, I'm doing the Advent of Code 2018 in a language new to me: Python. Coming from a C# background, I'm probably making all kinds of mistakes or are unaware of some usefull things in Python. This is my solution to day 3, and I would like to get a review on my code. I'm interested in both better ways to solve the problem using Python's tools, but also anything that has to do with style (I tried applying PEP8 rules), readability, etc. Thanks!



    The full challenge is here and a bit involved, I'll try to keep it a bit shorter here.




    The challenge



    The Elves managed to locate the chimney-squeeze prototype fabric for Santa's suit. Unfortunately, nobody can even agree on how to cut the fabric. The whole piece of fabric they're working on is a very large square - at least 1000 inches on each side.



    Each Elf has made a claim about which area of fabric would be ideal for Santa's suit. All claims have an ID and consist of a single rectangle with edges parallel to the edges of the fabric. Each claim's rectangle is defined as follows:




    • The number of inches between the left edge of the fabric and the left edge of the rectangle.

    • The number of inches between the top edge of the fabric and the top edge of the rectangle.

    • The width of the rectangle in inches.

    • The height of the rectangle in inches.


    A claim like #123 @ 3,2: 5x4 means that claim ID 123 specifies a rectangle 3 inches from the left edge, 2 inches from the top edge, 5 inches wide, and 4 inches tall. The problem is that many of the claims overlap, causing two or more claims to cover part of the same areas. For example, consider the following claims:



    - #1 @ 1,3: 4x4
    - #2 @ 3,1: 4x4
    - #3 @ 5,5: 2x2


    Visually, these claim the following areas:



    ........
    ...2222.
    ...2222.
    .11XX22.
    .11XX22.
    .111133.
    .111133.
    ........


    The four square inches marked with X are claimed by both 1 and 2. (Claim 3, while adjacent to the others, does not overlap either of them.) If the Elves all proceed with their own plans, none of them will have enough fabric. How many square inches of fabric are within two or more claims?




    This puzzle also comes with custom puzzle input. I can provide mine, but it's 1350 lines long. The example above provides the way the input is formatted.



    Day3.py



    class Claim(object):
    id = None
    x = None
    y = None
    width = None
    height = None

    def __init__(self, claim_id, x, y, width, height):
    self.id = claim_id
    self.x = x
    self.y = y
    self.width = width
    self.height = height

    def __repr__(self):
    return "<Claim #%s - %s, %s - %sx%s>" % (self.id, self.x, self.y, self.width, self.height)


    def read_file_lines(file_path, strip_lines=True):
    """ Reads the specified file and returns it's lines an array
    file_path: the path to the file
    strip_lines (default: true): boolean to indicate whether or not to strip leading and trailing whitespace from each line

    Returns: An array of the lines in the file as string
    """
    with open(file_path, "r") as f:
    if strip_lines:
    return [l.strip() for l in f.readlines()]

    return [l for l in f.readlines()]


    def parse_input(lines):
    claims =
    for line in lines:
    parts = line.split(" ")

    id = int(parts[0][1:])
    x = int(parts[2].split(",")[0])
    y = int(parts[2].split(",")[1][:-1])
    width = int(parts[3].split("x")[0])
    height = int(parts[3].split("x")[1])

    claims.append(Claim(id, x, y, width, height))

    return claims


    def generate_matrix(size):
    return [[0]*size for _ in range(size)]


    def print_matrix(matrix):
    line = ""
    for y in range(0, len(matrix[0])):
    line = line + str(y) + ": "
    for x in range(0, len(matrix[0])):
    line = line + str(matrix[x][y])
    print(line)
    line = ""


    if __name__ == '__main__':
    content = read_file_lines("input.txt")
    claims = parse_input(content)

    matrix = generate_matrix(1000)
    print_matrix(matrix)

    for claim in claims:
    x_indexes = range(claim.x, claim.x + claim.width)
    y_indexes = range(claim.y, claim.y + claim.height)

    for x in x_indexes:
    for y in y_indexes:
    matrix[x][y] = matrix[x][y] + 1

    print_matrix(matrix)

    inches_double_claimed = 0
    for x in range(0, len(matrix[0])):
    for y in range(0, len(matrix[0])):
    if matrix[x][y] >= 2:
    inches_double_claimed += 1

    print("Inches claimed by two or more claims:", inches_double_claimed)









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    Céryl Wiltink is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.























      3












      3








      3







      In an effort to stretch my programming muscles, I'm doing the Advent of Code 2018 in a language new to me: Python. Coming from a C# background, I'm probably making all kinds of mistakes or are unaware of some usefull things in Python. This is my solution to day 3, and I would like to get a review on my code. I'm interested in both better ways to solve the problem using Python's tools, but also anything that has to do with style (I tried applying PEP8 rules), readability, etc. Thanks!



      The full challenge is here and a bit involved, I'll try to keep it a bit shorter here.




      The challenge



      The Elves managed to locate the chimney-squeeze prototype fabric for Santa's suit. Unfortunately, nobody can even agree on how to cut the fabric. The whole piece of fabric they're working on is a very large square - at least 1000 inches on each side.



      Each Elf has made a claim about which area of fabric would be ideal for Santa's suit. All claims have an ID and consist of a single rectangle with edges parallel to the edges of the fabric. Each claim's rectangle is defined as follows:




      • The number of inches between the left edge of the fabric and the left edge of the rectangle.

      • The number of inches between the top edge of the fabric and the top edge of the rectangle.

      • The width of the rectangle in inches.

      • The height of the rectangle in inches.


      A claim like #123 @ 3,2: 5x4 means that claim ID 123 specifies a rectangle 3 inches from the left edge, 2 inches from the top edge, 5 inches wide, and 4 inches tall. The problem is that many of the claims overlap, causing two or more claims to cover part of the same areas. For example, consider the following claims:



      - #1 @ 1,3: 4x4
      - #2 @ 3,1: 4x4
      - #3 @ 5,5: 2x2


      Visually, these claim the following areas:



      ........
      ...2222.
      ...2222.
      .11XX22.
      .11XX22.
      .111133.
      .111133.
      ........


      The four square inches marked with X are claimed by both 1 and 2. (Claim 3, while adjacent to the others, does not overlap either of them.) If the Elves all proceed with their own plans, none of them will have enough fabric. How many square inches of fabric are within two or more claims?




      This puzzle also comes with custom puzzle input. I can provide mine, but it's 1350 lines long. The example above provides the way the input is formatted.



      Day3.py



      class Claim(object):
      id = None
      x = None
      y = None
      width = None
      height = None

      def __init__(self, claim_id, x, y, width, height):
      self.id = claim_id
      self.x = x
      self.y = y
      self.width = width
      self.height = height

      def __repr__(self):
      return "<Claim #%s - %s, %s - %sx%s>" % (self.id, self.x, self.y, self.width, self.height)


      def read_file_lines(file_path, strip_lines=True):
      """ Reads the specified file and returns it's lines an array
      file_path: the path to the file
      strip_lines (default: true): boolean to indicate whether or not to strip leading and trailing whitespace from each line

      Returns: An array of the lines in the file as string
      """
      with open(file_path, "r") as f:
      if strip_lines:
      return [l.strip() for l in f.readlines()]

      return [l for l in f.readlines()]


      def parse_input(lines):
      claims =
      for line in lines:
      parts = line.split(" ")

      id = int(parts[0][1:])
      x = int(parts[2].split(",")[0])
      y = int(parts[2].split(",")[1][:-1])
      width = int(parts[3].split("x")[0])
      height = int(parts[3].split("x")[1])

      claims.append(Claim(id, x, y, width, height))

      return claims


      def generate_matrix(size):
      return [[0]*size for _ in range(size)]


      def print_matrix(matrix):
      line = ""
      for y in range(0, len(matrix[0])):
      line = line + str(y) + ": "
      for x in range(0, len(matrix[0])):
      line = line + str(matrix[x][y])
      print(line)
      line = ""


      if __name__ == '__main__':
      content = read_file_lines("input.txt")
      claims = parse_input(content)

      matrix = generate_matrix(1000)
      print_matrix(matrix)

      for claim in claims:
      x_indexes = range(claim.x, claim.x + claim.width)
      y_indexes = range(claim.y, claim.y + claim.height)

      for x in x_indexes:
      for y in y_indexes:
      matrix[x][y] = matrix[x][y] + 1

      print_matrix(matrix)

      inches_double_claimed = 0
      for x in range(0, len(matrix[0])):
      for y in range(0, len(matrix[0])):
      if matrix[x][y] >= 2:
      inches_double_claimed += 1

      print("Inches claimed by two or more claims:", inches_double_claimed)









      share|improve this question









      New contributor




      Céryl Wiltink is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      In an effort to stretch my programming muscles, I'm doing the Advent of Code 2018 in a language new to me: Python. Coming from a C# background, I'm probably making all kinds of mistakes or are unaware of some usefull things in Python. This is my solution to day 3, and I would like to get a review on my code. I'm interested in both better ways to solve the problem using Python's tools, but also anything that has to do with style (I tried applying PEP8 rules), readability, etc. Thanks!



      The full challenge is here and a bit involved, I'll try to keep it a bit shorter here.




      The challenge



      The Elves managed to locate the chimney-squeeze prototype fabric for Santa's suit. Unfortunately, nobody can even agree on how to cut the fabric. The whole piece of fabric they're working on is a very large square - at least 1000 inches on each side.



      Each Elf has made a claim about which area of fabric would be ideal for Santa's suit. All claims have an ID and consist of a single rectangle with edges parallel to the edges of the fabric. Each claim's rectangle is defined as follows:




      • The number of inches between the left edge of the fabric and the left edge of the rectangle.

      • The number of inches between the top edge of the fabric and the top edge of the rectangle.

      • The width of the rectangle in inches.

      • The height of the rectangle in inches.


      A claim like #123 @ 3,2: 5x4 means that claim ID 123 specifies a rectangle 3 inches from the left edge, 2 inches from the top edge, 5 inches wide, and 4 inches tall. The problem is that many of the claims overlap, causing two or more claims to cover part of the same areas. For example, consider the following claims:



      - #1 @ 1,3: 4x4
      - #2 @ 3,1: 4x4
      - #3 @ 5,5: 2x2


      Visually, these claim the following areas:



      ........
      ...2222.
      ...2222.
      .11XX22.
      .11XX22.
      .111133.
      .111133.
      ........


      The four square inches marked with X are claimed by both 1 and 2. (Claim 3, while adjacent to the others, does not overlap either of them.) If the Elves all proceed with their own plans, none of them will have enough fabric. How many square inches of fabric are within two or more claims?




      This puzzle also comes with custom puzzle input. I can provide mine, but it's 1350 lines long. The example above provides the way the input is formatted.



      Day3.py



      class Claim(object):
      id = None
      x = None
      y = None
      width = None
      height = None

      def __init__(self, claim_id, x, y, width, height):
      self.id = claim_id
      self.x = x
      self.y = y
      self.width = width
      self.height = height

      def __repr__(self):
      return "<Claim #%s - %s, %s - %sx%s>" % (self.id, self.x, self.y, self.width, self.height)


      def read_file_lines(file_path, strip_lines=True):
      """ Reads the specified file and returns it's lines an array
      file_path: the path to the file
      strip_lines (default: true): boolean to indicate whether or not to strip leading and trailing whitespace from each line

      Returns: An array of the lines in the file as string
      """
      with open(file_path, "r") as f:
      if strip_lines:
      return [l.strip() for l in f.readlines()]

      return [l for l in f.readlines()]


      def parse_input(lines):
      claims =
      for line in lines:
      parts = line.split(" ")

      id = int(parts[0][1:])
      x = int(parts[2].split(",")[0])
      y = int(parts[2].split(",")[1][:-1])
      width = int(parts[3].split("x")[0])
      height = int(parts[3].split("x")[1])

      claims.append(Claim(id, x, y, width, height))

      return claims


      def generate_matrix(size):
      return [[0]*size for _ in range(size)]


      def print_matrix(matrix):
      line = ""
      for y in range(0, len(matrix[0])):
      line = line + str(y) + ": "
      for x in range(0, len(matrix[0])):
      line = line + str(matrix[x][y])
      print(line)
      line = ""


      if __name__ == '__main__':
      content = read_file_lines("input.txt")
      claims = parse_input(content)

      matrix = generate_matrix(1000)
      print_matrix(matrix)

      for claim in claims:
      x_indexes = range(claim.x, claim.x + claim.width)
      y_indexes = range(claim.y, claim.y + claim.height)

      for x in x_indexes:
      for y in y_indexes:
      matrix[x][y] = matrix[x][y] + 1

      print_matrix(matrix)

      inches_double_claimed = 0
      for x in range(0, len(matrix[0])):
      for y in range(0, len(matrix[0])):
      if matrix[x][y] >= 2:
      inches_double_claimed += 1

      print("Inches claimed by two or more claims:", inches_double_claimed)






      python python-3.x






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      Céryl Wiltink is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      Check out our Code of Conduct.









      share|improve this question




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      edited Dec 30 '18 at 0:03









      Jamal

      30.3k11116226




      30.3k11116226






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      asked Dec 28 '18 at 8:35









      Céryl Wiltink

      1183




      1183




      New contributor




      Céryl Wiltink is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.





      New contributor





      Céryl Wiltink is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.






      Céryl Wiltink is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.






















          2 Answers
          2






          active

          oldest

          votes


















          4














          This is rather good Python, pleasant to read and using good practices already. I'll just focus on making it more Pythonic.






              def __repr__(self):
          return "<Claim #%s - %s, %s - %sx%s>" % (self.id, self.x, self.y, self.width, self.height)



          This should be __str__, as it is meant for "fancy" formatting like this. Ideally, __repr__ should be build such as eval(repr(x)) will reconstruct x.




          class Claim(object):
          id = None
          x = None
          y = None
          width = None
          height = None

          def __init__(self, claim_id, x, y, width, height):
          self.id = claim_id
          self.x = x
          self.y = y
          self.width = width
          self.height = height

          def __repr__(self):
          return "<Claim #%s - %s, %s - %sx%s>" % (self.id, self.x, self.y, self.width, self.height)



          This whole class could be replaced by a namedtuple. Considering the previous remark, I’d write:



          from collections import namedtuple


          class Claim(namedtuple('Claim', 'id x y width height')):
          def __str__(self):
          return "<Claim #{} - {}, {} - {}x{}>".format(self.id, self.x, self.y, self.width, self.height)


          Note that I replaced old-school % formating with the prefered str.format method. Note that there is also f-strings available if you are using Python 3.6+.



          Also note that in your original class you defined class variables that were overriden in the constructor. Don't. There is no gain in doing so as these class variables will never be used anyway.






          def read_file_lines(file_path, strip_lines=True):
          """ Reads the specified file and returns it's lines an array
          file_path: the path to the file
          strip_lines (default: true): boolean to indicate whether or not to strip leading and trailing whitespace from each line

          Returns: An array of the lines in the file as string
          """
          with open(file_path, "r") as f:
          if strip_lines:
          return [l.strip() for l in f.readlines()]

          return [l for l in f.readlines()]



          You don't need to read the whole file in memory at once and then create an array of the same content again. Instead, I’d suggest using a generator since you are transforming the output of this function anyway, so rather keep it nice with the memory:



          def read_file_lines(file_path, strip_lines=True):
          """ Reads the specified file and returns it's lines
          file_path: the path to the file
          strip_lines (default: true): boolean to indicate whether or not to strip leading and trailing whitespace from each line

          Generates the lines in the file as string
          """
          with open(file_path, "r") as f:
          for line in f:
          if strip_lines:
          yield line.strip()
          else:
          yield line





          def parse_input(lines):
          claims =
          for line in lines:
          parts = line.split(" ")

          id = int(parts[0][1:])
          x = int(parts[2].split(",")[0])
          y = int(parts[2].split(",")[1][:-1])
          width = int(parts[3].split("x")[0])
          height = int(parts[3].split("x")[1])

          claims.append(Claim(id, x, y, width, height))

          return claims



          You used list-comprehensions in other places so you know how to use them. You should try to extract the parsing logic out of the loop so you can use them here too. I’d write this function as:



          def parse_input(lines):
          return [Claim.from_input(line) for line in lines]


          and rework the Claim class into:



          class Claim(namedtuple('Claim', 'id x y width height')):
          def __str__(self):
          return "<Claim #{} - {}, {} - {}x{}>".format(self.id, self.x, self.y, self.width, self.height)

          @classmethod
          def from_input(cls, line):
          parts = line.split(" ")

          id = int(parts[0][1:])
          x = int(parts[2].split(",")[0])
          y = int(parts[2].split(",")[1][:-1])
          width = int(parts[3].split("x")[0])
          height = int(parts[3].split("x")[1])

          return cls(id, x, y, width, height)


          In fact, I'd probably merge the two previous functions into a single one, but there is no harm in keeping both:



          def parse_input(filename):
          with open(filename) as f:
          return [Claim.from_input(line.strip()) for line in f]





          def generate_matrix(size):
          return [[0]*size for _ in range(size)]



          Nothing to say here, you didn't fall in the trap of writting [[0] * size] * size.






          def print_matrix(matrix):
          line = ""
          for y in range(0, len(matrix[0])):
          line = line + str(y) + ": "
          for x in range(0, len(matrix[0])):
          line = line + str(matrix[x][y])
          print(line)
          line = ""



          Time to learn to use str.join:



          def print_matrix(matrix):
          string = 'n'.join(
          'line {}: {}'.format(i, ''.join(map(str, line)))
          for i, line in enumerate(matrix))
          print(string)





          if __name__ == '__main__':
          content = read_file_lines("input.txt")
          claims = parse_input(content)

          matrix = generate_matrix(1000)
          print_matrix(matrix)

          for claim in claims:
          x_indexes = range(claim.x, claim.x + claim.width)
          y_indexes = range(claim.y, claim.y + claim.height)

          for x in x_indexes:
          for y in y_indexes:
          matrix[x][y] = matrix[x][y] + 1

          print_matrix(matrix)

          inches_double_claimed = 0
          for x in range(0, len(matrix[0])):
          for y in range(0, len(matrix[0])):
          if matrix[x][y] >= 2:
          inches_double_claimed += 1

          print("Inches claimed by two or more claims:", inches_double_claimed)



          As you made in the print_matrix function, you are iterating over indices to access content of the matrix. Instead, you should iterate over the content directly if you need it:



          for line in matrix:
          for claims in line:
          if claims > 1:
          inches_double_claimed += 1


          And, in fact, these loops could be written in a single generator expression fed to sum:



          inches_double_claimed = sum(claims > 1 for line in matrix for claims in line)


          I would also advice you to wrap this code in a main function parametrized by the file name to read.





          There is still room for improvement: maybe defining a Matrix class to abstract your functions manipulating it, using re to simplify input parsing, using a defaultdict(defaultdict(int)) to support arbitrary sizes of fabric (and avoid wasting memory on small problems); but it is still fine as it is.






          share|improve this answer























          • Thanks so much! Very comprehensable and a lot of things to absorb!
            – Céryl Wiltink
            yesterday



















          2














          I wrote about Pythonic constructs in an other answer, so I'll focus in introducing helpful modules in this one. All in all, I'd say that converting the input to Claim objects is wasting resources and you should focus on your intermediate matrix representation instead. Or maybe as intermediate representation for documentation purposes, but you don't need to store them all at once in memory.



          As such, I would only use the re module to parse a line and immediately store it into the matrix.



          Such matrix should not be pre-allocated and allowed to be arbitrarily large if need be. For such cases, the collections module features two helpful classes: defaultdict and Counter.



          Lastly, the fileinput module make it easy to use a/several file names on the command line or standard input.



          My take on this would be:



          import re
          import fileinput
          from collections import namedtuple, defaultdict, Counter


          INPUT_PATTERN = re.compile(r'#d+ @ (d+),(d+): (d+)x(d+)')


          class Claim(namedtuple('Claim', ['x', 'y', 'width', 'height'])):
          @property
          def horizontal(self):
          return range(self.x, self.x + self.width)

          @property
          def vertical(self):
          return range(self.y, self.y + self.height)


          def parse_input(stream):
          for line in stream:
          match = INPUT_PATTERN.match(line)
          if match:
          yield Claim(*map(int, match.groups()))


          def claim_fabric(claims):
          fabric = defaultdict(Counter)
          for claim in claims:
          for line in claim.horizontal:
          fabric[line].update(claim.vertical)
          return fabric


          def count_overlaping_claims(fabric):
          return sum(
          claims > 1
          for line in fabric.values()
          for claims in line.values())


          if __name__ == '__main__':
          fabric = claim_fabric(parse_input(fileinput.input()))
          print(count_overlaping_claims(fabric))





          share|improve this answer























          • Thanks! I'm used to C# so Objects are my knee-jerk reaction to anything. I see a lot of cool new stuff in here for me to research. I'll approve the other answer because of the completeness, but at the very least: Have an upvote!
            – Céryl Wiltink
            yesterday











          Your Answer





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          2 Answers
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          4














          This is rather good Python, pleasant to read and using good practices already. I'll just focus on making it more Pythonic.






              def __repr__(self):
          return "<Claim #%s - %s, %s - %sx%s>" % (self.id, self.x, self.y, self.width, self.height)



          This should be __str__, as it is meant for "fancy" formatting like this. Ideally, __repr__ should be build such as eval(repr(x)) will reconstruct x.




          class Claim(object):
          id = None
          x = None
          y = None
          width = None
          height = None

          def __init__(self, claim_id, x, y, width, height):
          self.id = claim_id
          self.x = x
          self.y = y
          self.width = width
          self.height = height

          def __repr__(self):
          return "<Claim #%s - %s, %s - %sx%s>" % (self.id, self.x, self.y, self.width, self.height)



          This whole class could be replaced by a namedtuple. Considering the previous remark, I’d write:



          from collections import namedtuple


          class Claim(namedtuple('Claim', 'id x y width height')):
          def __str__(self):
          return "<Claim #{} - {}, {} - {}x{}>".format(self.id, self.x, self.y, self.width, self.height)


          Note that I replaced old-school % formating with the prefered str.format method. Note that there is also f-strings available if you are using Python 3.6+.



          Also note that in your original class you defined class variables that were overriden in the constructor. Don't. There is no gain in doing so as these class variables will never be used anyway.






          def read_file_lines(file_path, strip_lines=True):
          """ Reads the specified file and returns it's lines an array
          file_path: the path to the file
          strip_lines (default: true): boolean to indicate whether or not to strip leading and trailing whitespace from each line

          Returns: An array of the lines in the file as string
          """
          with open(file_path, "r") as f:
          if strip_lines:
          return [l.strip() for l in f.readlines()]

          return [l for l in f.readlines()]



          You don't need to read the whole file in memory at once and then create an array of the same content again. Instead, I’d suggest using a generator since you are transforming the output of this function anyway, so rather keep it nice with the memory:



          def read_file_lines(file_path, strip_lines=True):
          """ Reads the specified file and returns it's lines
          file_path: the path to the file
          strip_lines (default: true): boolean to indicate whether or not to strip leading and trailing whitespace from each line

          Generates the lines in the file as string
          """
          with open(file_path, "r") as f:
          for line in f:
          if strip_lines:
          yield line.strip()
          else:
          yield line





          def parse_input(lines):
          claims =
          for line in lines:
          parts = line.split(" ")

          id = int(parts[0][1:])
          x = int(parts[2].split(",")[0])
          y = int(parts[2].split(",")[1][:-1])
          width = int(parts[3].split("x")[0])
          height = int(parts[3].split("x")[1])

          claims.append(Claim(id, x, y, width, height))

          return claims



          You used list-comprehensions in other places so you know how to use them. You should try to extract the parsing logic out of the loop so you can use them here too. I’d write this function as:



          def parse_input(lines):
          return [Claim.from_input(line) for line in lines]


          and rework the Claim class into:



          class Claim(namedtuple('Claim', 'id x y width height')):
          def __str__(self):
          return "<Claim #{} - {}, {} - {}x{}>".format(self.id, self.x, self.y, self.width, self.height)

          @classmethod
          def from_input(cls, line):
          parts = line.split(" ")

          id = int(parts[0][1:])
          x = int(parts[2].split(",")[0])
          y = int(parts[2].split(",")[1][:-1])
          width = int(parts[3].split("x")[0])
          height = int(parts[3].split("x")[1])

          return cls(id, x, y, width, height)


          In fact, I'd probably merge the two previous functions into a single one, but there is no harm in keeping both:



          def parse_input(filename):
          with open(filename) as f:
          return [Claim.from_input(line.strip()) for line in f]





          def generate_matrix(size):
          return [[0]*size for _ in range(size)]



          Nothing to say here, you didn't fall in the trap of writting [[0] * size] * size.






          def print_matrix(matrix):
          line = ""
          for y in range(0, len(matrix[0])):
          line = line + str(y) + ": "
          for x in range(0, len(matrix[0])):
          line = line + str(matrix[x][y])
          print(line)
          line = ""



          Time to learn to use str.join:



          def print_matrix(matrix):
          string = 'n'.join(
          'line {}: {}'.format(i, ''.join(map(str, line)))
          for i, line in enumerate(matrix))
          print(string)





          if __name__ == '__main__':
          content = read_file_lines("input.txt")
          claims = parse_input(content)

          matrix = generate_matrix(1000)
          print_matrix(matrix)

          for claim in claims:
          x_indexes = range(claim.x, claim.x + claim.width)
          y_indexes = range(claim.y, claim.y + claim.height)

          for x in x_indexes:
          for y in y_indexes:
          matrix[x][y] = matrix[x][y] + 1

          print_matrix(matrix)

          inches_double_claimed = 0
          for x in range(0, len(matrix[0])):
          for y in range(0, len(matrix[0])):
          if matrix[x][y] >= 2:
          inches_double_claimed += 1

          print("Inches claimed by two or more claims:", inches_double_claimed)



          As you made in the print_matrix function, you are iterating over indices to access content of the matrix. Instead, you should iterate over the content directly if you need it:



          for line in matrix:
          for claims in line:
          if claims > 1:
          inches_double_claimed += 1


          And, in fact, these loops could be written in a single generator expression fed to sum:



          inches_double_claimed = sum(claims > 1 for line in matrix for claims in line)


          I would also advice you to wrap this code in a main function parametrized by the file name to read.





          There is still room for improvement: maybe defining a Matrix class to abstract your functions manipulating it, using re to simplify input parsing, using a defaultdict(defaultdict(int)) to support arbitrary sizes of fabric (and avoid wasting memory on small problems); but it is still fine as it is.






          share|improve this answer























          • Thanks so much! Very comprehensable and a lot of things to absorb!
            – Céryl Wiltink
            yesterday
















          4














          This is rather good Python, pleasant to read and using good practices already. I'll just focus on making it more Pythonic.






              def __repr__(self):
          return "<Claim #%s - %s, %s - %sx%s>" % (self.id, self.x, self.y, self.width, self.height)



          This should be __str__, as it is meant for "fancy" formatting like this. Ideally, __repr__ should be build such as eval(repr(x)) will reconstruct x.




          class Claim(object):
          id = None
          x = None
          y = None
          width = None
          height = None

          def __init__(self, claim_id, x, y, width, height):
          self.id = claim_id
          self.x = x
          self.y = y
          self.width = width
          self.height = height

          def __repr__(self):
          return "<Claim #%s - %s, %s - %sx%s>" % (self.id, self.x, self.y, self.width, self.height)



          This whole class could be replaced by a namedtuple. Considering the previous remark, I’d write:



          from collections import namedtuple


          class Claim(namedtuple('Claim', 'id x y width height')):
          def __str__(self):
          return "<Claim #{} - {}, {} - {}x{}>".format(self.id, self.x, self.y, self.width, self.height)


          Note that I replaced old-school % formating with the prefered str.format method. Note that there is also f-strings available if you are using Python 3.6+.



          Also note that in your original class you defined class variables that were overriden in the constructor. Don't. There is no gain in doing so as these class variables will never be used anyway.






          def read_file_lines(file_path, strip_lines=True):
          """ Reads the specified file and returns it's lines an array
          file_path: the path to the file
          strip_lines (default: true): boolean to indicate whether or not to strip leading and trailing whitespace from each line

          Returns: An array of the lines in the file as string
          """
          with open(file_path, "r") as f:
          if strip_lines:
          return [l.strip() for l in f.readlines()]

          return [l for l in f.readlines()]



          You don't need to read the whole file in memory at once and then create an array of the same content again. Instead, I’d suggest using a generator since you are transforming the output of this function anyway, so rather keep it nice with the memory:



          def read_file_lines(file_path, strip_lines=True):
          """ Reads the specified file and returns it's lines
          file_path: the path to the file
          strip_lines (default: true): boolean to indicate whether or not to strip leading and trailing whitespace from each line

          Generates the lines in the file as string
          """
          with open(file_path, "r") as f:
          for line in f:
          if strip_lines:
          yield line.strip()
          else:
          yield line





          def parse_input(lines):
          claims =
          for line in lines:
          parts = line.split(" ")

          id = int(parts[0][1:])
          x = int(parts[2].split(",")[0])
          y = int(parts[2].split(",")[1][:-1])
          width = int(parts[3].split("x")[0])
          height = int(parts[3].split("x")[1])

          claims.append(Claim(id, x, y, width, height))

          return claims



          You used list-comprehensions in other places so you know how to use them. You should try to extract the parsing logic out of the loop so you can use them here too. I’d write this function as:



          def parse_input(lines):
          return [Claim.from_input(line) for line in lines]


          and rework the Claim class into:



          class Claim(namedtuple('Claim', 'id x y width height')):
          def __str__(self):
          return "<Claim #{} - {}, {} - {}x{}>".format(self.id, self.x, self.y, self.width, self.height)

          @classmethod
          def from_input(cls, line):
          parts = line.split(" ")

          id = int(parts[0][1:])
          x = int(parts[2].split(",")[0])
          y = int(parts[2].split(",")[1][:-1])
          width = int(parts[3].split("x")[0])
          height = int(parts[3].split("x")[1])

          return cls(id, x, y, width, height)


          In fact, I'd probably merge the two previous functions into a single one, but there is no harm in keeping both:



          def parse_input(filename):
          with open(filename) as f:
          return [Claim.from_input(line.strip()) for line in f]





          def generate_matrix(size):
          return [[0]*size for _ in range(size)]



          Nothing to say here, you didn't fall in the trap of writting [[0] * size] * size.






          def print_matrix(matrix):
          line = ""
          for y in range(0, len(matrix[0])):
          line = line + str(y) + ": "
          for x in range(0, len(matrix[0])):
          line = line + str(matrix[x][y])
          print(line)
          line = ""



          Time to learn to use str.join:



          def print_matrix(matrix):
          string = 'n'.join(
          'line {}: {}'.format(i, ''.join(map(str, line)))
          for i, line in enumerate(matrix))
          print(string)





          if __name__ == '__main__':
          content = read_file_lines("input.txt")
          claims = parse_input(content)

          matrix = generate_matrix(1000)
          print_matrix(matrix)

          for claim in claims:
          x_indexes = range(claim.x, claim.x + claim.width)
          y_indexes = range(claim.y, claim.y + claim.height)

          for x in x_indexes:
          for y in y_indexes:
          matrix[x][y] = matrix[x][y] + 1

          print_matrix(matrix)

          inches_double_claimed = 0
          for x in range(0, len(matrix[0])):
          for y in range(0, len(matrix[0])):
          if matrix[x][y] >= 2:
          inches_double_claimed += 1

          print("Inches claimed by two or more claims:", inches_double_claimed)



          As you made in the print_matrix function, you are iterating over indices to access content of the matrix. Instead, you should iterate over the content directly if you need it:



          for line in matrix:
          for claims in line:
          if claims > 1:
          inches_double_claimed += 1


          And, in fact, these loops could be written in a single generator expression fed to sum:



          inches_double_claimed = sum(claims > 1 for line in matrix for claims in line)


          I would also advice you to wrap this code in a main function parametrized by the file name to read.





          There is still room for improvement: maybe defining a Matrix class to abstract your functions manipulating it, using re to simplify input parsing, using a defaultdict(defaultdict(int)) to support arbitrary sizes of fabric (and avoid wasting memory on small problems); but it is still fine as it is.






          share|improve this answer























          • Thanks so much! Very comprehensable and a lot of things to absorb!
            – Céryl Wiltink
            yesterday














          4












          4








          4






          This is rather good Python, pleasant to read and using good practices already. I'll just focus on making it more Pythonic.






              def __repr__(self):
          return "<Claim #%s - %s, %s - %sx%s>" % (self.id, self.x, self.y, self.width, self.height)



          This should be __str__, as it is meant for "fancy" formatting like this. Ideally, __repr__ should be build such as eval(repr(x)) will reconstruct x.




          class Claim(object):
          id = None
          x = None
          y = None
          width = None
          height = None

          def __init__(self, claim_id, x, y, width, height):
          self.id = claim_id
          self.x = x
          self.y = y
          self.width = width
          self.height = height

          def __repr__(self):
          return "<Claim #%s - %s, %s - %sx%s>" % (self.id, self.x, self.y, self.width, self.height)



          This whole class could be replaced by a namedtuple. Considering the previous remark, I’d write:



          from collections import namedtuple


          class Claim(namedtuple('Claim', 'id x y width height')):
          def __str__(self):
          return "<Claim #{} - {}, {} - {}x{}>".format(self.id, self.x, self.y, self.width, self.height)


          Note that I replaced old-school % formating with the prefered str.format method. Note that there is also f-strings available if you are using Python 3.6+.



          Also note that in your original class you defined class variables that were overriden in the constructor. Don't. There is no gain in doing so as these class variables will never be used anyway.






          def read_file_lines(file_path, strip_lines=True):
          """ Reads the specified file and returns it's lines an array
          file_path: the path to the file
          strip_lines (default: true): boolean to indicate whether or not to strip leading and trailing whitespace from each line

          Returns: An array of the lines in the file as string
          """
          with open(file_path, "r") as f:
          if strip_lines:
          return [l.strip() for l in f.readlines()]

          return [l for l in f.readlines()]



          You don't need to read the whole file in memory at once and then create an array of the same content again. Instead, I’d suggest using a generator since you are transforming the output of this function anyway, so rather keep it nice with the memory:



          def read_file_lines(file_path, strip_lines=True):
          """ Reads the specified file and returns it's lines
          file_path: the path to the file
          strip_lines (default: true): boolean to indicate whether or not to strip leading and trailing whitespace from each line

          Generates the lines in the file as string
          """
          with open(file_path, "r") as f:
          for line in f:
          if strip_lines:
          yield line.strip()
          else:
          yield line





          def parse_input(lines):
          claims =
          for line in lines:
          parts = line.split(" ")

          id = int(parts[0][1:])
          x = int(parts[2].split(",")[0])
          y = int(parts[2].split(",")[1][:-1])
          width = int(parts[3].split("x")[0])
          height = int(parts[3].split("x")[1])

          claims.append(Claim(id, x, y, width, height))

          return claims



          You used list-comprehensions in other places so you know how to use them. You should try to extract the parsing logic out of the loop so you can use them here too. I’d write this function as:



          def parse_input(lines):
          return [Claim.from_input(line) for line in lines]


          and rework the Claim class into:



          class Claim(namedtuple('Claim', 'id x y width height')):
          def __str__(self):
          return "<Claim #{} - {}, {} - {}x{}>".format(self.id, self.x, self.y, self.width, self.height)

          @classmethod
          def from_input(cls, line):
          parts = line.split(" ")

          id = int(parts[0][1:])
          x = int(parts[2].split(",")[0])
          y = int(parts[2].split(",")[1][:-1])
          width = int(parts[3].split("x")[0])
          height = int(parts[3].split("x")[1])

          return cls(id, x, y, width, height)


          In fact, I'd probably merge the two previous functions into a single one, but there is no harm in keeping both:



          def parse_input(filename):
          with open(filename) as f:
          return [Claim.from_input(line.strip()) for line in f]





          def generate_matrix(size):
          return [[0]*size for _ in range(size)]



          Nothing to say here, you didn't fall in the trap of writting [[0] * size] * size.






          def print_matrix(matrix):
          line = ""
          for y in range(0, len(matrix[0])):
          line = line + str(y) + ": "
          for x in range(0, len(matrix[0])):
          line = line + str(matrix[x][y])
          print(line)
          line = ""



          Time to learn to use str.join:



          def print_matrix(matrix):
          string = 'n'.join(
          'line {}: {}'.format(i, ''.join(map(str, line)))
          for i, line in enumerate(matrix))
          print(string)





          if __name__ == '__main__':
          content = read_file_lines("input.txt")
          claims = parse_input(content)

          matrix = generate_matrix(1000)
          print_matrix(matrix)

          for claim in claims:
          x_indexes = range(claim.x, claim.x + claim.width)
          y_indexes = range(claim.y, claim.y + claim.height)

          for x in x_indexes:
          for y in y_indexes:
          matrix[x][y] = matrix[x][y] + 1

          print_matrix(matrix)

          inches_double_claimed = 0
          for x in range(0, len(matrix[0])):
          for y in range(0, len(matrix[0])):
          if matrix[x][y] >= 2:
          inches_double_claimed += 1

          print("Inches claimed by two or more claims:", inches_double_claimed)



          As you made in the print_matrix function, you are iterating over indices to access content of the matrix. Instead, you should iterate over the content directly if you need it:



          for line in matrix:
          for claims in line:
          if claims > 1:
          inches_double_claimed += 1


          And, in fact, these loops could be written in a single generator expression fed to sum:



          inches_double_claimed = sum(claims > 1 for line in matrix for claims in line)


          I would also advice you to wrap this code in a main function parametrized by the file name to read.





          There is still room for improvement: maybe defining a Matrix class to abstract your functions manipulating it, using re to simplify input parsing, using a defaultdict(defaultdict(int)) to support arbitrary sizes of fabric (and avoid wasting memory on small problems); but it is still fine as it is.






          share|improve this answer














          This is rather good Python, pleasant to read and using good practices already. I'll just focus on making it more Pythonic.






              def __repr__(self):
          return "<Claim #%s - %s, %s - %sx%s>" % (self.id, self.x, self.y, self.width, self.height)



          This should be __str__, as it is meant for "fancy" formatting like this. Ideally, __repr__ should be build such as eval(repr(x)) will reconstruct x.




          class Claim(object):
          id = None
          x = None
          y = None
          width = None
          height = None

          def __init__(self, claim_id, x, y, width, height):
          self.id = claim_id
          self.x = x
          self.y = y
          self.width = width
          self.height = height

          def __repr__(self):
          return "<Claim #%s - %s, %s - %sx%s>" % (self.id, self.x, self.y, self.width, self.height)



          This whole class could be replaced by a namedtuple. Considering the previous remark, I’d write:



          from collections import namedtuple


          class Claim(namedtuple('Claim', 'id x y width height')):
          def __str__(self):
          return "<Claim #{} - {}, {} - {}x{}>".format(self.id, self.x, self.y, self.width, self.height)


          Note that I replaced old-school % formating with the prefered str.format method. Note that there is also f-strings available if you are using Python 3.6+.



          Also note that in your original class you defined class variables that were overriden in the constructor. Don't. There is no gain in doing so as these class variables will never be used anyway.






          def read_file_lines(file_path, strip_lines=True):
          """ Reads the specified file and returns it's lines an array
          file_path: the path to the file
          strip_lines (default: true): boolean to indicate whether or not to strip leading and trailing whitespace from each line

          Returns: An array of the lines in the file as string
          """
          with open(file_path, "r") as f:
          if strip_lines:
          return [l.strip() for l in f.readlines()]

          return [l for l in f.readlines()]



          You don't need to read the whole file in memory at once and then create an array of the same content again. Instead, I’d suggest using a generator since you are transforming the output of this function anyway, so rather keep it nice with the memory:



          def read_file_lines(file_path, strip_lines=True):
          """ Reads the specified file and returns it's lines
          file_path: the path to the file
          strip_lines (default: true): boolean to indicate whether or not to strip leading and trailing whitespace from each line

          Generates the lines in the file as string
          """
          with open(file_path, "r") as f:
          for line in f:
          if strip_lines:
          yield line.strip()
          else:
          yield line





          def parse_input(lines):
          claims =
          for line in lines:
          parts = line.split(" ")

          id = int(parts[0][1:])
          x = int(parts[2].split(",")[0])
          y = int(parts[2].split(",")[1][:-1])
          width = int(parts[3].split("x")[0])
          height = int(parts[3].split("x")[1])

          claims.append(Claim(id, x, y, width, height))

          return claims



          You used list-comprehensions in other places so you know how to use them. You should try to extract the parsing logic out of the loop so you can use them here too. I’d write this function as:



          def parse_input(lines):
          return [Claim.from_input(line) for line in lines]


          and rework the Claim class into:



          class Claim(namedtuple('Claim', 'id x y width height')):
          def __str__(self):
          return "<Claim #{} - {}, {} - {}x{}>".format(self.id, self.x, self.y, self.width, self.height)

          @classmethod
          def from_input(cls, line):
          parts = line.split(" ")

          id = int(parts[0][1:])
          x = int(parts[2].split(",")[0])
          y = int(parts[2].split(",")[1][:-1])
          width = int(parts[3].split("x")[0])
          height = int(parts[3].split("x")[1])

          return cls(id, x, y, width, height)


          In fact, I'd probably merge the two previous functions into a single one, but there is no harm in keeping both:



          def parse_input(filename):
          with open(filename) as f:
          return [Claim.from_input(line.strip()) for line in f]





          def generate_matrix(size):
          return [[0]*size for _ in range(size)]



          Nothing to say here, you didn't fall in the trap of writting [[0] * size] * size.






          def print_matrix(matrix):
          line = ""
          for y in range(0, len(matrix[0])):
          line = line + str(y) + ": "
          for x in range(0, len(matrix[0])):
          line = line + str(matrix[x][y])
          print(line)
          line = ""



          Time to learn to use str.join:



          def print_matrix(matrix):
          string = 'n'.join(
          'line {}: {}'.format(i, ''.join(map(str, line)))
          for i, line in enumerate(matrix))
          print(string)





          if __name__ == '__main__':
          content = read_file_lines("input.txt")
          claims = parse_input(content)

          matrix = generate_matrix(1000)
          print_matrix(matrix)

          for claim in claims:
          x_indexes = range(claim.x, claim.x + claim.width)
          y_indexes = range(claim.y, claim.y + claim.height)

          for x in x_indexes:
          for y in y_indexes:
          matrix[x][y] = matrix[x][y] + 1

          print_matrix(matrix)

          inches_double_claimed = 0
          for x in range(0, len(matrix[0])):
          for y in range(0, len(matrix[0])):
          if matrix[x][y] >= 2:
          inches_double_claimed += 1

          print("Inches claimed by two or more claims:", inches_double_claimed)



          As you made in the print_matrix function, you are iterating over indices to access content of the matrix. Instead, you should iterate over the content directly if you need it:



          for line in matrix:
          for claims in line:
          if claims > 1:
          inches_double_claimed += 1


          And, in fact, these loops could be written in a single generator expression fed to sum:



          inches_double_claimed = sum(claims > 1 for line in matrix for claims in line)


          I would also advice you to wrap this code in a main function parametrized by the file name to read.





          There is still room for improvement: maybe defining a Matrix class to abstract your functions manipulating it, using re to simplify input parsing, using a defaultdict(defaultdict(int)) to support arbitrary sizes of fabric (and avoid wasting memory on small problems); but it is still fine as it is.







          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited Dec 28 '18 at 11:03

























          answered Dec 28 '18 at 9:42









          Mathias Ettinger

          23.5k33182




          23.5k33182












          • Thanks so much! Very comprehensable and a lot of things to absorb!
            – Céryl Wiltink
            yesterday


















          • Thanks so much! Very comprehensable and a lot of things to absorb!
            – Céryl Wiltink
            yesterday
















          Thanks so much! Very comprehensable and a lot of things to absorb!
          – Céryl Wiltink
          yesterday




          Thanks so much! Very comprehensable and a lot of things to absorb!
          – Céryl Wiltink
          yesterday













          2














          I wrote about Pythonic constructs in an other answer, so I'll focus in introducing helpful modules in this one. All in all, I'd say that converting the input to Claim objects is wasting resources and you should focus on your intermediate matrix representation instead. Or maybe as intermediate representation for documentation purposes, but you don't need to store them all at once in memory.



          As such, I would only use the re module to parse a line and immediately store it into the matrix.



          Such matrix should not be pre-allocated and allowed to be arbitrarily large if need be. For such cases, the collections module features two helpful classes: defaultdict and Counter.



          Lastly, the fileinput module make it easy to use a/several file names on the command line or standard input.



          My take on this would be:



          import re
          import fileinput
          from collections import namedtuple, defaultdict, Counter


          INPUT_PATTERN = re.compile(r'#d+ @ (d+),(d+): (d+)x(d+)')


          class Claim(namedtuple('Claim', ['x', 'y', 'width', 'height'])):
          @property
          def horizontal(self):
          return range(self.x, self.x + self.width)

          @property
          def vertical(self):
          return range(self.y, self.y + self.height)


          def parse_input(stream):
          for line in stream:
          match = INPUT_PATTERN.match(line)
          if match:
          yield Claim(*map(int, match.groups()))


          def claim_fabric(claims):
          fabric = defaultdict(Counter)
          for claim in claims:
          for line in claim.horizontal:
          fabric[line].update(claim.vertical)
          return fabric


          def count_overlaping_claims(fabric):
          return sum(
          claims > 1
          for line in fabric.values()
          for claims in line.values())


          if __name__ == '__main__':
          fabric = claim_fabric(parse_input(fileinput.input()))
          print(count_overlaping_claims(fabric))





          share|improve this answer























          • Thanks! I'm used to C# so Objects are my knee-jerk reaction to anything. I see a lot of cool new stuff in here for me to research. I'll approve the other answer because of the completeness, but at the very least: Have an upvote!
            – Céryl Wiltink
            yesterday
















          2














          I wrote about Pythonic constructs in an other answer, so I'll focus in introducing helpful modules in this one. All in all, I'd say that converting the input to Claim objects is wasting resources and you should focus on your intermediate matrix representation instead. Or maybe as intermediate representation for documentation purposes, but you don't need to store them all at once in memory.



          As such, I would only use the re module to parse a line and immediately store it into the matrix.



          Such matrix should not be pre-allocated and allowed to be arbitrarily large if need be. For such cases, the collections module features two helpful classes: defaultdict and Counter.



          Lastly, the fileinput module make it easy to use a/several file names on the command line or standard input.



          My take on this would be:



          import re
          import fileinput
          from collections import namedtuple, defaultdict, Counter


          INPUT_PATTERN = re.compile(r'#d+ @ (d+),(d+): (d+)x(d+)')


          class Claim(namedtuple('Claim', ['x', 'y', 'width', 'height'])):
          @property
          def horizontal(self):
          return range(self.x, self.x + self.width)

          @property
          def vertical(self):
          return range(self.y, self.y + self.height)


          def parse_input(stream):
          for line in stream:
          match = INPUT_PATTERN.match(line)
          if match:
          yield Claim(*map(int, match.groups()))


          def claim_fabric(claims):
          fabric = defaultdict(Counter)
          for claim in claims:
          for line in claim.horizontal:
          fabric[line].update(claim.vertical)
          return fabric


          def count_overlaping_claims(fabric):
          return sum(
          claims > 1
          for line in fabric.values()
          for claims in line.values())


          if __name__ == '__main__':
          fabric = claim_fabric(parse_input(fileinput.input()))
          print(count_overlaping_claims(fabric))





          share|improve this answer























          • Thanks! I'm used to C# so Objects are my knee-jerk reaction to anything. I see a lot of cool new stuff in here for me to research. I'll approve the other answer because of the completeness, but at the very least: Have an upvote!
            – Céryl Wiltink
            yesterday














          2












          2








          2






          I wrote about Pythonic constructs in an other answer, so I'll focus in introducing helpful modules in this one. All in all, I'd say that converting the input to Claim objects is wasting resources and you should focus on your intermediate matrix representation instead. Or maybe as intermediate representation for documentation purposes, but you don't need to store them all at once in memory.



          As such, I would only use the re module to parse a line and immediately store it into the matrix.



          Such matrix should not be pre-allocated and allowed to be arbitrarily large if need be. For such cases, the collections module features two helpful classes: defaultdict and Counter.



          Lastly, the fileinput module make it easy to use a/several file names on the command line or standard input.



          My take on this would be:



          import re
          import fileinput
          from collections import namedtuple, defaultdict, Counter


          INPUT_PATTERN = re.compile(r'#d+ @ (d+),(d+): (d+)x(d+)')


          class Claim(namedtuple('Claim', ['x', 'y', 'width', 'height'])):
          @property
          def horizontal(self):
          return range(self.x, self.x + self.width)

          @property
          def vertical(self):
          return range(self.y, self.y + self.height)


          def parse_input(stream):
          for line in stream:
          match = INPUT_PATTERN.match(line)
          if match:
          yield Claim(*map(int, match.groups()))


          def claim_fabric(claims):
          fabric = defaultdict(Counter)
          for claim in claims:
          for line in claim.horizontal:
          fabric[line].update(claim.vertical)
          return fabric


          def count_overlaping_claims(fabric):
          return sum(
          claims > 1
          for line in fabric.values()
          for claims in line.values())


          if __name__ == '__main__':
          fabric = claim_fabric(parse_input(fileinput.input()))
          print(count_overlaping_claims(fabric))





          share|improve this answer














          I wrote about Pythonic constructs in an other answer, so I'll focus in introducing helpful modules in this one. All in all, I'd say that converting the input to Claim objects is wasting resources and you should focus on your intermediate matrix representation instead. Or maybe as intermediate representation for documentation purposes, but you don't need to store them all at once in memory.



          As such, I would only use the re module to parse a line and immediately store it into the matrix.



          Such matrix should not be pre-allocated and allowed to be arbitrarily large if need be. For such cases, the collections module features two helpful classes: defaultdict and Counter.



          Lastly, the fileinput module make it easy to use a/several file names on the command line or standard input.



          My take on this would be:



          import re
          import fileinput
          from collections import namedtuple, defaultdict, Counter


          INPUT_PATTERN = re.compile(r'#d+ @ (d+),(d+): (d+)x(d+)')


          class Claim(namedtuple('Claim', ['x', 'y', 'width', 'height'])):
          @property
          def horizontal(self):
          return range(self.x, self.x + self.width)

          @property
          def vertical(self):
          return range(self.y, self.y + self.height)


          def parse_input(stream):
          for line in stream:
          match = INPUT_PATTERN.match(line)
          if match:
          yield Claim(*map(int, match.groups()))


          def claim_fabric(claims):
          fabric = defaultdict(Counter)
          for claim in claims:
          for line in claim.horizontal:
          fabric[line].update(claim.vertical)
          return fabric


          def count_overlaping_claims(fabric):
          return sum(
          claims > 1
          for line in fabric.values()
          for claims in line.values())


          if __name__ == '__main__':
          fabric = claim_fabric(parse_input(fileinput.input()))
          print(count_overlaping_claims(fabric))






          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited 2 days ago

























          answered Dec 28 '18 at 11:35









          Mathias Ettinger

          23.5k33182




          23.5k33182












          • Thanks! I'm used to C# so Objects are my knee-jerk reaction to anything. I see a lot of cool new stuff in here for me to research. I'll approve the other answer because of the completeness, but at the very least: Have an upvote!
            – Céryl Wiltink
            yesterday


















          • Thanks! I'm used to C# so Objects are my knee-jerk reaction to anything. I see a lot of cool new stuff in here for me to research. I'll approve the other answer because of the completeness, but at the very least: Have an upvote!
            – Céryl Wiltink
            yesterday
















          Thanks! I'm used to C# so Objects are my knee-jerk reaction to anything. I see a lot of cool new stuff in here for me to research. I'll approve the other answer because of the completeness, but at the very least: Have an upvote!
          – Céryl Wiltink
          yesterday




          Thanks! I'm used to C# so Objects are my knee-jerk reaction to anything. I see a lot of cool new stuff in here for me to research. I'll approve the other answer because of the completeness, but at the very least: Have an upvote!
          – Céryl Wiltink
          yesterday










          Céryl Wiltink is a new contributor. Be nice, and check out our Code of Conduct.










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