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adda95ea58 |
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@ -9,7 +9,9 @@ import time
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def cross(items_a, items_b):
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def cross(items_a, items_b):
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"Cross product of elements in A and elements in B."
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"""
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Cross product of elements in A and elements in B.
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"""
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return [a + b for a in items_a for b in items_b]
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return [a + b for a in items_a for b in items_b]
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@ -27,7 +29,7 @@ peers = {s: set(sum(units[s], [])) - {s} for s in squares} # noqa: RUF017
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def test():
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def test():
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"A set of unit tests."
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"""A set of unit tests."""
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assert len(squares) == 81
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assert len(squares) == 81
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assert len(unitlist) == 27
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assert len(unitlist) == 27
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assert all(len(units[s]) == 3 for s in squares)
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assert all(len(units[s]) == 3 for s in squares)
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@ -47,8 +49,10 @@ def test():
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def parse_grid(grid):
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def parse_grid(grid):
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"""Convert grid to a dict of possible values, {square: digits}, or
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"""
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return False if a contradiction is detected."""
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Convert grid to a dict of possible values, {square: digits}, or
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return False if a contradiction is detected.
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"""
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## To start, every square can be any digit; then assign values from the grid.
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## To start, every square can be any digit; then assign values from the grid.
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values = {s: digits for s in squares}
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values = {s: digits for s in squares}
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for s, d in grid_values(grid).items():
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for s, d in grid_values(grid).items():
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@ -58,15 +62,19 @@ def parse_grid(grid):
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def grid_values(grid):
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def grid_values(grid):
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"Convert grid into a dict of {square: char} with '0' or '.' for empties."
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"""
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Convert grid into a dict of {square: char} with '0' or '.' for empties.
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"""
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chars = [c for c in grid if c in digits or c in "0."]
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chars = [c for c in grid if c in digits or c in "0."]
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assert len(chars) == 81
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assert len(chars) == 81
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return dict(zip(squares, chars))
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return dict(zip(squares, chars))
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def assign(values, s, d):
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def assign(values, s, d):
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"""Eliminate all the other values (except d) from values[s] and propagate.
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"""
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Return values, except return False if a contradiction is detected."""
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Eliminate all the other values (except d) from values[s] and propagate.
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Return values, except return False if a contradiction is detected.
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"""
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other_values = values[s].replace(d, "")
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other_values = values[s].replace(d, "")
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if all(eliminate(values, s, d2) for d2 in other_values):
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if all(eliminate(values, s, d2) for d2 in other_values):
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return values
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return values
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@ -75,8 +83,10 @@ def assign(values, s, d):
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def eliminate(values, s, d):
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def eliminate(values, s, d):
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"""Eliminate d from values[s]; propagate when values or places <= 2.
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"""
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Return values, except return False if a contradiction is detected."""
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Eliminate d from values[s]; propagate when values or places <= 2.
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Return values, except return False if a contradiction is detected.
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"""
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if d not in values[s]:
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if d not in values[s]:
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return values ## Already eliminated
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return values ## Already eliminated
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values[s] = values[s].replace(d, "")
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values[s] = values[s].replace(d, "")
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@ -99,7 +109,9 @@ def eliminate(values, s, d):
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def display(values):
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def display(values):
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"Display these values as a 2-D grid."
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"""
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Display these values as a 2-D grid.
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"""
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width = 1 + max(len(values[s]) for s in squares)
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width = 1 + max(len(values[s]) for s in squares)
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line = "+".join(["-" * (width * 3)] * 3)
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line = "+".join(["-" * (width * 3)] * 3)
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for r in rows:
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for r in rows:
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@ -114,11 +126,14 @@ def display(values):
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def solve(grid):
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def solve(grid):
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"""
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Solve the grid.
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"""
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return search(parse_grid(grid))
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return search(parse_grid(grid))
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def some(seq):
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def some(seq):
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"Return some element of seq that is true."
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"""Return some element of seq that is true."""
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for e in seq:
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for e in seq:
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if e:
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if e:
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return e
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return e
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@ -126,7 +141,9 @@ def some(seq):
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def search(values):
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def search(values):
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"Using depth-first search and propagation, try all possible values."
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"""
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Using depth-first search and propagation, try all possible values.
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"""
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if values is False:
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if values is False:
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return False ## Failed earlier
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return False ## Failed earlier
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if all(len(values[s]) == 1 for s in squares):
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if all(len(values[s]) == 1 for s in squares):
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@ -137,9 +154,11 @@ def search(values):
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def solve_all(grids, name="", showif=0.0):
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def solve_all(grids, name="", showif=0.0):
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"""Attempt to solve a sequence of grids. Report results.
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"""
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Attempt to solve a sequence of grids. Report results.
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When showif is a number of seconds, display puzzles that take longer.
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When showif is a number of seconds, display puzzles that take longer.
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When showif is None, don't display any puzzles."""
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When showif is None, don't display any puzzles.
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"""
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def time_solve(grid):
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def time_solve(grid):
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start = time.monotonic()
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start = time.monotonic()
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@ -162,7 +181,9 @@ def solve_all(grids, name="", showif=0.0):
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def solved(values):
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def solved(values):
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"A puzzle is solved if each unit is a permutation of the digits 1 to 9."
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"""
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A puzzle is solved if each unit is a permutation of the digits 1 to 9.
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"""
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def unitsolved(unit):
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def unitsolved(unit):
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return {values[s] for s in unit} == set(digits)
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return {values[s] for s in unit} == set(digits)
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@ -176,9 +197,11 @@ def from_file(filename, sep="\n"):
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def random_puzzle(assignments=17):
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def random_puzzle(assignments=17):
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"""Make a random puzzle with N or more assignments. Restart on contradictions.
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"""
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Make a random puzzle with N or more assignments. Restart on contradictions.
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Note the resulting puzzle is not guaranteed to be solvable, but empirically
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Note the resulting puzzle is not guaranteed to be solvable, but empirically
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about 99.8% of them are solvable. Some have multiple solutions."""
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about 99.8% of them are solvable. Some have multiple solutions.
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"""
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values = {s: digits for s in squares}
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values = {s: digits for s in squares}
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for s in shuffled(squares):
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for s in shuffled(squares):
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if not assign(values, s, random.choice(values[s])):
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if not assign(values, s, random.choice(values[s])):
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@ -190,7 +213,9 @@ def random_puzzle(assignments=17):
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def shuffled(seq):
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def shuffled(seq):
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"Return a randomly shuffled copy of the input sequence."
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"""
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Return a randomly shuffled copy of the input sequence.
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"""
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seq = list(seq)
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seq = list(seq)
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random.shuffle(seq)
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random.shuffle(seq)
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return seq
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return seq
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@ -29,6 +29,12 @@ def sigmoid(vector: np.ndarray) -> np.ndarray:
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>>> sigmoid(np.array([0.0]))
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>>> sigmoid(np.array([0.0]))
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array([0.5])
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array([0.5])
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>>> sigmoid(np.array([100.0]))
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array([1.])
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>>> sigmoid(np.array([-100.0]))
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array([3.72007598e-44])
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"""
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"""
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return 1 / (1 + np.exp(-vector))
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return 1 / (1 + np.exp(-vector))
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