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cclauss merged 5 commits into from
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Updated doctests for nor_gate #10791

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3ceb9fb
added other possible cases
Oct 21, 2023
1441533
added test for correct output of truth table
Oct 21, 2023
034133a
Merge branch 'TheAlgorithms:master' into master
nkstonks Oct 22, 2023
d87a2cc
updating DIRECTORY.md
Oct 22, 2023
e83ebb6
Update nor_gate.py
cclauss Oct 22, 2023
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6 changes: 4 additions & 2 deletions DIRECTORY.md
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Original file line numberDiff line numberDiff line change
Expand Up@@ -541,7 +541,7 @@
* [Dimensionality Reduction](machine_learning/dimensionality_reduction.py)
* Forecasting
* [Run](machine_learning/forecasting/run.py)
* [Frequent Pattern Growth Algorithm](machine_learning/frequent_pattern_growth.py)
* [Frequent Pattern Growth](machine_learning/frequent_pattern_growth.py)
* [Gradient Descent](machine_learning/gradient_descent.py)
* [K Means Clust](machine_learning/k_means_clust.py)
* [K Nearest Neighbours](machine_learning/k_nearest_neighbours.py)
Expand DownExpand Up@@ -649,6 +649,7 @@
* [Numerical Integration](maths/numerical_integration.py)
* [Odd Sieve](maths/odd_sieve.py)
* [Perfect Cube](maths/perfect_cube.py)
* [Perfect Number](maths/perfect_number.py)
* [Perfect Square](maths/perfect_square.py)
* [Persistence](maths/persistence.py)
* [Pi Generator](maths/pi_generator.py)
Expand DownExpand Up@@ -767,7 +768,6 @@
* [Swish](neural_network/activation_functions/swish.py)
* [Back Propagation Neural Network](neural_network/back_propagation_neural_network.py)
* [Convolution Neural Network](neural_network/convolution_neural_network.py)
* [Perceptron](neural_network/perceptron.py)
* [Simple Neural Network](neural_network/simple_neural_network.py)

## Other
Expand DownExpand Up@@ -803,8 +803,10 @@
* [Archimedes Principle Of Buoyant Force](physics/archimedes_principle_of_buoyant_force.py)
* [Basic Orbital Capture](physics/basic_orbital_capture.py)
* [Casimir Effect](physics/casimir_effect.py)
* [Center Of Mass](physics/center_of_mass.py)
* [Centripetal Force](physics/centripetal_force.py)
* [Coulombs Law](physics/coulombs_law.py)
* [Doppler Frequency](physics/doppler_frequency.py)
* [Grahams Law](physics/grahams_law.py)
* [Horizontal Projectile Motion](physics/horizontal_projectile_motion.py)
* [Hubble Parameter](physics/hubble_parameter.py)
Expand Down
55 changes: 37 additions & 18 deletions boolean_algebra/nor_gate.py
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Original file line numberDiff line numberDiff line change
@@ -1,15 +1,18 @@
"""
A NOR Gate is a logic gate in boolean algebra which results to false(0)
if any of the input is 1, and True(1) if both the inputs are 0.
A NOR Gate is a logic gate in boolean algebra which results in false(0) if any of the
inputs is 1, and True(1) if all inputs are 0.
Following is the truth table of a NOR Gate:
| Input 1 | Input 2 | Output |
| 0 | 0 | 1 |
| 0 | 1 | 0 |
| 1 | 0 | 0 |
| 1 | 1 | 0 |
Truth Table of NOR Gate:
| Input 1 | Input 2 | Output |
| 0 | 0 | 1 |
| 0 | 1 | 0 |
| 1 | 0 | 0 |
| 1 | 1 | 0 |

Following is the code implementation of the NOR Gate
Code provided by Akshaj Vishwanathan
https://www.geeksforgeeks.org/logic-gates-in-python
"""
from collections.abc import Callable


def nor_gate(input_1: int, input_2: int) -> int:
Expand All@@ -30,19 +33,35 @@ def nor_gate(input_1: int, input_2: int) -> int:
return int(input_1 == input_2 == 0)


def main() -> None:
print("Truth Table of NOR Gate:")
print("| Input 1 | Input 2 | Output |")
print(f"| 0 | 0 | {nor_gate(0, 0)} |")
print(f"| 0 | 1 | {nor_gate(0, 1)} |")
print(f"| 1 | 0 | {nor_gate(1, 0)} |")
print(f"| 1 | 1 | {nor_gate(1, 1)} |")
def truth_table(func: Callable) -> str:
"""
>>> print(truth_table(nor_gate))
Truth Table of NOR Gate:
| Input 1 | Input 2 | Output |
| 0 | 0 | 1 |
| 0 | 1 | 0 |
| 1 | 0 | 0 |
| 1 | 1 | 0 |
"""

def make_table_row(items: list | tuple) -> str:
"""
>>> make_table_row(("One", "Two", "Three"))
'| One | Two | Three |'
"""
return f"| {' | '.join(f'{item:^8}' for item in items)} |"

return "\n".join(
(
"Truth Table of NOR Gate:",
make_table_row(("Input 1", "Input 2", "Output")),
*[make_table_row((i, j, func(i, j))) for i in (0, 1) for j in (0, 1)],
)
)


if __name__ == "__main__":
import doctest

doctest.testmod()
main()
"""Code provided by Akshaj Vishwanathan"""
"""Reference: https://www.geeksforgeeks.org/logic-gates-in-python/"""
print(truth_table(nor_gate))
, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
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Updated doctests for nor_gate by nkstonks · Pull Request #10791 · TheAlgorithms/Python · GitHub
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Updated doctests for nor_gate #10791

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cclauss
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Oct 22, 2023
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Updated doctests for nor_gate #10791
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3ceb9fb

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1441533

added test for correct output of truth table

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034133a

Merge branch 'TheAlgorithms:master' into master


nkstonks Oct 22, 2023
d87a2cc

updating DIRECTORY.md

Oct 22, 2023
e83ebb6

Update nor_gate.py


cclauss Oct 22, 2023

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6 changes: 4 additions & 2 deletions
DIRECTORY.md

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Original file line numberDiff line numberDiff line change
Expand Up@@ -541,7 +541,7 @@
 * [Dimensionality Reduction](machine_learning/dimensionality_reduction.py)
 * Forecasting
 * [Run](machine_learning/forecasting/run.py)
 * [Frequent Pattern Growth Algorithm](machine_learning/frequent_pattern_growth.py)
 * [Frequent Pattern Growth](machine_learning/frequent_pattern_growth.py)
 * [Gradient Descent](machine_learning/gradient_descent.py)
 * [K Means Clust](machine_learning/k_means_clust.py)
 * [K Nearest Neighbours](machine_learning/k_nearest_neighbours.py)
Expand DownExpand Up@@ -649,6 +649,7 @@
 * [Numerical Integration](maths/numerical_integration.py)
 * [Odd Sieve](maths/odd_sieve.py)
 * [Perfect Cube](maths/perfect_cube.py)
 * [Perfect Number](maths/perfect_number.py)
 * [Perfect Square](maths/perfect_square.py)
 * [Persistence](maths/persistence.py)
 * [Pi Generator](maths/pi_generator.py)
Expand DownExpand Up@@ -767,7 +768,6 @@
 * [Swish](neural_network/activation_functions/swish.py)
 * [Back Propagation Neural Network](neural_network/back_propagation_neural_network.py)
 * [Convolution Neural Network](neural_network/convolution_neural_network.py)
 * [Perceptron](neural_network/perceptron.py)
 * [Simple Neural Network](neural_network/simple_neural_network.py)

## Other
Expand DownExpand Up@@ -803,8 +803,10 @@
 * [Archimedes Principle Of Buoyant Force](physics/archimedes_principle_of_buoyant_force.py)
 * [Basic Orbital Capture](physics/basic_orbital_capture.py)
 * [Casimir Effect](physics/casimir_effect.py)
 * [Center Of Mass](physics/center_of_mass.py)
 * [Centripetal Force](physics/centripetal_force.py)
 * [Coulombs Law](physics/coulombs_law.py)
 * [Doppler Frequency](physics/doppler_frequency.py)
 * [Grahams Law](physics/grahams_law.py)
 * [Horizontal Projectile Motion](physics/horizontal_projectile_motion.py)
 * [Hubble Parameter](physics/hubble_parameter.py)
Expand Down

55 changes: 37 additions & 18 deletions
boolean_algebra/nor_gate.py

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Original file line numberDiff line numberDiff line change
@@ -1,15 +1,18 @@
"""
A NOR Gate is a logic gate in boolean algebra which results to false(0)
if any of the input is 1, and True(1) if  both the inputs are 0.
A NOR Gate is a logic gate in boolean algebra which results in false(0) if any of the
inputs is 1, and True(1) if all inputs are 0.
Following is the truth table of a NOR Gate:
 | Input 1 | Input 2 | Output |
 | 0 | 0 | 1 |
 | 0 | 1 | 0 |
 | 1 | 0 | 0 |
 | 1 | 1 | 0 |
 Truth Table of NOR Gate:
 | Input 1 | Input 2 | Output |
 | 0 | 0 | 1 |
 | 0 | 1 | 0 |
 | 1 | 0 | 0 |
 | 1 | 1 | 0 |

Following is the code implementation of the NOR Gate
 Code provided by Akshaj Vishwanathan
https://www.geeksforgeeks.org/logic-gates-in-python
"""
from collections.abc import Callable


def nor_gate(input_1: int, input_2: int) -> int:
Expand All@@ -30,19 +33,35 @@ def nor_gate(input_1: int, input_2: int) -> int:
 return int(input_1 == input_2 == 0)


def main() -> None:
 print("Truth Table of NOR Gate:")
 print("| Input 1 | Input 2 | Output |")
 print(f"| 0 | 0 | {nor_gate(0, 0)} |")
 print(f"| 0 | 1 | {nor_gate(0, 1)} |")
 print(f"| 1 | 0 | {nor_gate(1, 0)} |")
 print(f"| 1 | 1 | {nor_gate(1, 1)} |")
def truth_table(func: Callable) -> str:
 """
 >>> print(truth_table(nor_gate))
 Truth Table of NOR Gate:
 | Input 1 | Input 2 | Output |
 | 0 | 0 | 1 |
 | 0 | 1 | 0 |
 | 1 | 0 | 0 |
 | 1 | 1 | 0 |
 """

 def make_table_row(items: list | tuple) -> str:
 """
 >>> make_table_row(("One", "Two", "Three"))
 '| One | Two | Three |'
 """
 return f"| {' | '.join(f'{item:^8}' for item in items)} |"

 return "\n".join(
 (
 "Truth Table of NOR Gate:",
 make_table_row(("Input 1", "Input 2", "Output")),
 *[make_table_row((i, j, func(i, j))) for i in (0, 1) for j in (0, 1)],
 )
 )


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 main()
"""Code provided by Akshaj Vishwanathan"""
"""Reference: https://www.geeksforgeeks.org/logic-gates-in-python/"""
 print(truth_table(nor_gate))

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Force GitHub README to respect dark mode
(function() {
var style = document.createElement('style');
style.textContent = '
.markdown-body {
color-scheme: dark light;
}
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';
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(function(){
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Updated doctests for nor_gate by nkstonks · Pull Request #10791 · TheAlgorithms/Python · GitHub
Skip to content
Updated doctests for nor_gate #10791

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cclauss
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Oct 22, 2023
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Updated doctests for nor_gate #10791
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3ceb9fb

added other possible cases

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1441533

added test for correct output of truth table

Oct 21, 2023
034133a

Merge branch 'TheAlgorithms:master' into master


nkstonks Oct 22, 2023
d87a2cc

updating DIRECTORY.md

Oct 22, 2023
e83ebb6

Update nor_gate.py


cclauss Oct 22, 2023

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6 changes: 4 additions & 2 deletions
DIRECTORY.md

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Original file line numberDiff line numberDiff line change
Expand Up@@ -541,7 +541,7 @@
 * [Dimensionality Reduction](machine_learning/dimensionality_reduction.py)
 * Forecasting
 * [Run](machine_learning/forecasting/run.py)
 * [Frequent Pattern Growth Algorithm](machine_learning/frequent_pattern_growth.py)
 * [Frequent Pattern Growth](machine_learning/frequent_pattern_growth.py)
 * [Gradient Descent](machine_learning/gradient_descent.py)
 * [K Means Clust](machine_learning/k_means_clust.py)
 * [K Nearest Neighbours](machine_learning/k_nearest_neighbours.py)
Expand DownExpand Up@@ -649,6 +649,7 @@
 * [Numerical Integration](maths/numerical_integration.py)
 * [Odd Sieve](maths/odd_sieve.py)
 * [Perfect Cube](maths/perfect_cube.py)
 * [Perfect Number](maths/perfect_number.py)
 * [Perfect Square](maths/perfect_square.py)
 * [Persistence](maths/persistence.py)
 * [Pi Generator](maths/pi_generator.py)
Expand DownExpand Up@@ -767,7 +768,6 @@
 * [Swish](neural_network/activation_functions/swish.py)
 * [Back Propagation Neural Network](neural_network/back_propagation_neural_network.py)
 * [Convolution Neural Network](neural_network/convolution_neural_network.py)
 * [Perceptron](neural_network/perceptron.py)
 * [Simple Neural Network](neural_network/simple_neural_network.py)

## Other
Expand DownExpand Up@@ -803,8 +803,10 @@
 * [Archimedes Principle Of Buoyant Force](physics/archimedes_principle_of_buoyant_force.py)
 * [Basic Orbital Capture](physics/basic_orbital_capture.py)
 * [Casimir Effect](physics/casimir_effect.py)
 * [Center Of Mass](physics/center_of_mass.py)
 * [Centripetal Force](physics/centripetal_force.py)
 * [Coulombs Law](physics/coulombs_law.py)
 * [Doppler Frequency](physics/doppler_frequency.py)
 * [Grahams Law](physics/grahams_law.py)
 * [Horizontal Projectile Motion](physics/horizontal_projectile_motion.py)
 * [Hubble Parameter](physics/hubble_parameter.py)
Expand Down

55 changes: 37 additions & 18 deletions
boolean_algebra/nor_gate.py

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Original file line numberDiff line numberDiff line change
@@ -1,15 +1,18 @@
"""
A NOR Gate is a logic gate in boolean algebra which results to false(0)
if any of the input is 1, and True(1) if  both the inputs are 0.
A NOR Gate is a logic gate in boolean algebra which results in false(0) if any of the
inputs is 1, and True(1) if all inputs are 0.
Following is the truth table of a NOR Gate:
 | Input 1 | Input 2 | Output |
 | 0 | 0 | 1 |
 | 0 | 1 | 0 |
 | 1 | 0 | 0 |
 | 1 | 1 | 0 |
 Truth Table of NOR Gate:
 | Input 1 | Input 2 | Output |
 | 0 | 0 | 1 |
 | 0 | 1 | 0 |
 | 1 | 0 | 0 |
 | 1 | 1 | 0 |

Following is the code implementation of the NOR Gate
 Code provided by Akshaj Vishwanathan
https://www.geeksforgeeks.org/logic-gates-in-python
"""
from collections.abc import Callable


def nor_gate(input_1: int, input_2: int) -> int:
Expand All@@ -30,19 +33,35 @@ def nor_gate(input_1: int, input_2: int) -> int:
 return int(input_1 == input_2 == 0)


def main() -> None:
 print("Truth Table of NOR Gate:")
 print("| Input 1 | Input 2 | Output |")
 print(f"| 0 | 0 | {nor_gate(0, 0)} |")
 print(f"| 0 | 1 | {nor_gate(0, 1)} |")
 print(f"| 1 | 0 | {nor_gate(1, 0)} |")
 print(f"| 1 | 1 | {nor_gate(1, 1)} |")
def truth_table(func: Callable) -> str:
 """
 >>> print(truth_table(nor_gate))
 Truth Table of NOR Gate:
 | Input 1 | Input 2 | Output |
 | 0 | 0 | 1 |
 | 0 | 1 | 0 |
 | 1 | 0 | 0 |
 | 1 | 1 | 0 |
 """

 def make_table_row(items: list | tuple) -> str:
 """
 >>> make_table_row(("One", "Two", "Three"))
 '| One | Two | Three |'
 """
 return f"| {' | '.join(f'{item:^8}' for item in items)} |"

 return "\n".join(
 (
 "Truth Table of NOR Gate:",
 make_table_row(("Input 1", "Input 2", "Output")),
 *[make_table_row((i, j, func(i, j))) for i in (0, 1) for j in (0, 1)],
 )
 )


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 main()
"""Code provided by Akshaj Vishwanathan"""
"""Reference: https://www.geeksforgeeks.org/logic-gates-in-python/"""
 print(truth_table(nor_gate))

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Updated doctests for nor_gate by nkstonks · Pull Request #10791 · TheAlgorithms/Python · GitHub
Skip to content
Updated doctests for nor_gate #10791

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cclauss
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Updated doctests for nor_gate #10791
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3ceb9fb

added other possible cases

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1441533

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Oct 21, 2023
034133a

Merge branch 'TheAlgorithms:master' into master


nkstonks Oct 22, 2023
d87a2cc

updating DIRECTORY.md

Oct 22, 2023
e83ebb6

Update nor_gate.py


cclauss Oct 22, 2023

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6 changes: 4 additions & 2 deletions
DIRECTORY.md

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Original file line numberDiff line numberDiff line change
Expand Up@@ -541,7 +541,7 @@
 * [Dimensionality Reduction](machine_learning/dimensionality_reduction.py)
 * Forecasting
 * [Run](machine_learning/forecasting/run.py)
 * [Frequent Pattern Growth Algorithm](machine_learning/frequent_pattern_growth.py)
 * [Frequent Pattern Growth](machine_learning/frequent_pattern_growth.py)
 * [Gradient Descent](machine_learning/gradient_descent.py)
 * [K Means Clust](machine_learning/k_means_clust.py)
 * [K Nearest Neighbours](machine_learning/k_nearest_neighbours.py)
Expand DownExpand Up@@ -649,6 +649,7 @@
 * [Numerical Integration](maths/numerical_integration.py)
 * [Odd Sieve](maths/odd_sieve.py)
 * [Perfect Cube](maths/perfect_cube.py)
 * [Perfect Number](maths/perfect_number.py)
 * [Perfect Square](maths/perfect_square.py)
 * [Persistence](maths/persistence.py)
 * [Pi Generator](maths/pi_generator.py)
Expand DownExpand Up@@ -767,7 +768,6 @@
 * [Swish](neural_network/activation_functions/swish.py)
 * [Back Propagation Neural Network](neural_network/back_propagation_neural_network.py)
 * [Convolution Neural Network](neural_network/convolution_neural_network.py)
 * [Perceptron](neural_network/perceptron.py)
 * [Simple Neural Network](neural_network/simple_neural_network.py)

## Other
Expand DownExpand Up@@ -803,8 +803,10 @@
 * [Archimedes Principle Of Buoyant Force](physics/archimedes_principle_of_buoyant_force.py)
 * [Basic Orbital Capture](physics/basic_orbital_capture.py)
 * [Casimir Effect](physics/casimir_effect.py)
 * [Center Of Mass](physics/center_of_mass.py)
 * [Centripetal Force](physics/centripetal_force.py)
 * [Coulombs Law](physics/coulombs_law.py)
 * [Doppler Frequency](physics/doppler_frequency.py)
 * [Grahams Law](physics/grahams_law.py)
 * [Horizontal Projectile Motion](physics/horizontal_projectile_motion.py)
 * [Hubble Parameter](physics/hubble_parameter.py)
Expand Down

55 changes: 37 additions & 18 deletions
boolean_algebra/nor_gate.py

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Open in desktop

Original file line numberDiff line numberDiff line change
@@ -1,15 +1,18 @@
"""
A NOR Gate is a logic gate in boolean algebra which results to false(0)
if any of the input is 1, and True(1) if  both the inputs are 0.
A NOR Gate is a logic gate in boolean algebra which results in false(0) if any of the
inputs is 1, and True(1) if all inputs are 0.
Following is the truth table of a NOR Gate:
 | Input 1 | Input 2 | Output |
 | 0 | 0 | 1 |
 | 0 | 1 | 0 |
 | 1 | 0 | 0 |
 | 1 | 1 | 0 |
 Truth Table of NOR Gate:
 | Input 1 | Input 2 | Output |
 | 0 | 0 | 1 |
 | 0 | 1 | 0 |
 | 1 | 0 | 0 |
 | 1 | 1 | 0 |

Following is the code implementation of the NOR Gate
 Code provided by Akshaj Vishwanathan
https://www.geeksforgeeks.org/logic-gates-in-python
"""
from collections.abc import Callable


def nor_gate(input_1: int, input_2: int) -> int:
Expand All@@ -30,19 +33,35 @@ def nor_gate(input_1: int, input_2: int) -> int:
 return int(input_1 == input_2 == 0)


def main() -> None:
 print("Truth Table of NOR Gate:")
 print("| Input 1 | Input 2 | Output |")
 print(f"| 0 | 0 | {nor_gate(0, 0)} |")
 print(f"| 0 | 1 | {nor_gate(0, 1)} |")
 print(f"| 1 | 0 | {nor_gate(1, 0)} |")
 print(f"| 1 | 1 | {nor_gate(1, 1)} |")
def truth_table(func: Callable) -> str:
 """
 >>> print(truth_table(nor_gate))
 Truth Table of NOR Gate:
 | Input 1 | Input 2 | Output |
 | 0 | 0 | 1 |
 | 0 | 1 | 0 |
 | 1 | 0 | 0 |
 | 1 | 1 | 0 |
 """

 def make_table_row(items: list | tuple) -> str:
 """
 >>> make_table_row(("One", "Two", "Three"))
 '| One | Two | Three |'
 """
 return f"| {' | '.join(f'{item:^8}' for item in items)} |"

 return "\n".join(
 (
 "Truth Table of NOR Gate:",
 make_table_row(("Input 1", "Input 2", "Output")),
 *[make_table_row((i, j, func(i, j))) for i in (0, 1) for j in (0, 1)],
 )
 )


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 main()
"""Code provided by Akshaj Vishwanathan"""
"""Reference: https://www.geeksforgeeks.org/logic-gates-in-python/"""
 print(truth_table(nor_gate))

, 'i');
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Updated doctests for nor_gate by nkstonks · Pull Request #10791 · TheAlgorithms/Python · GitHub
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034133a

Merge branch 'TheAlgorithms:master' into master


nkstonks Oct 22, 2023
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cclauss Oct 22, 2023

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DIRECTORY.md

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Original file line numberDiff line numberDiff line change
Expand Up@@ -541,7 +541,7 @@
 * [Dimensionality Reduction](machine_learning/dimensionality_reduction.py)
 * Forecasting
 * [Run](machine_learning/forecasting/run.py)
 * [Frequent Pattern Growth Algorithm](machine_learning/frequent_pattern_growth.py)
 * [Frequent Pattern Growth](machine_learning/frequent_pattern_growth.py)
 * [Gradient Descent](machine_learning/gradient_descent.py)
 * [K Means Clust](machine_learning/k_means_clust.py)
 * [K Nearest Neighbours](machine_learning/k_nearest_neighbours.py)
Expand DownExpand Up@@ -649,6 +649,7 @@
 * [Numerical Integration](maths/numerical_integration.py)
 * [Odd Sieve](maths/odd_sieve.py)
 * [Perfect Cube](maths/perfect_cube.py)
 * [Perfect Number](maths/perfect_number.py)
 * [Perfect Square](maths/perfect_square.py)
 * [Persistence](maths/persistence.py)
 * [Pi Generator](maths/pi_generator.py)
Expand DownExpand Up@@ -767,7 +768,6 @@
 * [Swish](neural_network/activation_functions/swish.py)
 * [Back Propagation Neural Network](neural_network/back_propagation_neural_network.py)
 * [Convolution Neural Network](neural_network/convolution_neural_network.py)
 * [Perceptron](neural_network/perceptron.py)
 * [Simple Neural Network](neural_network/simple_neural_network.py)

## Other
Expand DownExpand Up@@ -803,8 +803,10 @@
 * [Archimedes Principle Of Buoyant Force](physics/archimedes_principle_of_buoyant_force.py)
 * [Basic Orbital Capture](physics/basic_orbital_capture.py)
 * [Casimir Effect](physics/casimir_effect.py)
 * [Center Of Mass](physics/center_of_mass.py)
 * [Centripetal Force](physics/centripetal_force.py)
 * [Coulombs Law](physics/coulombs_law.py)
 * [Doppler Frequency](physics/doppler_frequency.py)
 * [Grahams Law](physics/grahams_law.py)
 * [Horizontal Projectile Motion](physics/horizontal_projectile_motion.py)
 * [Hubble Parameter](physics/hubble_parameter.py)
Expand Down

55 changes: 37 additions & 18 deletions
boolean_algebra/nor_gate.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -1,15 +1,18 @@
"""
A NOR Gate is a logic gate in boolean algebra which results to false(0)
if any of the input is 1, and True(1) if  both the inputs are 0.
A NOR Gate is a logic gate in boolean algebra which results in false(0) if any of the
inputs is 1, and True(1) if all inputs are 0.
Following is the truth table of a NOR Gate:
 | Input 1 | Input 2 | Output |
 | 0 | 0 | 1 |
 | 0 | 1 | 0 |
 | 1 | 0 | 0 |
 | 1 | 1 | 0 |
 Truth Table of NOR Gate:
 | Input 1 | Input 2 | Output |
 | 0 | 0 | 1 |
 | 0 | 1 | 0 |
 | 1 | 0 | 0 |
 | 1 | 1 | 0 |

Following is the code implementation of the NOR Gate
 Code provided by Akshaj Vishwanathan
https://www.geeksforgeeks.org/logic-gates-in-python
"""
from collections.abc import Callable


def nor_gate(input_1: int, input_2: int) -> int:
Expand All@@ -30,19 +33,35 @@ def nor_gate(input_1: int, input_2: int) -> int:
 return int(input_1 == input_2 == 0)


def main() -> None:
 print("Truth Table of NOR Gate:")
 print("| Input 1 | Input 2 | Output |")
 print(f"| 0 | 0 | {nor_gate(0, 0)} |")
 print(f"| 0 | 1 | {nor_gate(0, 1)} |")
 print(f"| 1 | 0 | {nor_gate(1, 0)} |")
 print(f"| 1 | 1 | {nor_gate(1, 1)} |")
def truth_table(func: Callable) -> str:
 """
 >>> print(truth_table(nor_gate))
 Truth Table of NOR Gate:
 | Input 1 | Input 2 | Output |
 | 0 | 0 | 1 |
 | 0 | 1 | 0 |
 | 1 | 0 | 0 |
 | 1 | 1 | 0 |
 """

 def make_table_row(items: list | tuple) -> str:
 """
 >>> make_table_row(("One", "Two", "Three"))
 '| One | Two | Three |'
 """
 return f"| {' | '.join(f'{item:^8}' for item in items)} |"

 return "\n".join(
 (
 "Truth Table of NOR Gate:",
 make_table_row(("Input 1", "Input 2", "Output")),
 *[make_table_row((i, j, func(i, j))) for i in (0, 1) for j in (0, 1)],
 )
 )


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 main()
"""Code provided by Akshaj Vishwanathan"""
"""Reference: https://www.geeksforgeeks.org/logic-gates-in-python/"""
 print(truth_table(nor_gate))

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
(function() {
function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
if (btn && !btn.classList.contains('activated')) {
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lastUrl = location.href;
setTimeout(tryTheater, 500);
}
}, 1000);
// Also try on player load
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observer.observe(document.body, { childList: true, subtree: true });
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}
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
Updated doctests for nor_gate by nkstonks · Pull Request #10791 · TheAlgorithms/Python · GitHub
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Updated doctests for nor_gate #10791

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3ceb9fb

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1441533

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034133a

Merge branch 'TheAlgorithms:master' into master


nkstonks Oct 22, 2023
d87a2cc

updating DIRECTORY.md

Oct 22, 2023
e83ebb6

Update nor_gate.py


cclauss Oct 22, 2023

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6 changes: 4 additions & 2 deletions
DIRECTORY.md

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Original file line numberDiff line numberDiff line change
Expand Up@@ -541,7 +541,7 @@
 * [Dimensionality Reduction](machine_learning/dimensionality_reduction.py)
 * Forecasting
 * [Run](machine_learning/forecasting/run.py)
 * [Frequent Pattern Growth Algorithm](machine_learning/frequent_pattern_growth.py)
 * [Frequent Pattern Growth](machine_learning/frequent_pattern_growth.py)
 * [Gradient Descent](machine_learning/gradient_descent.py)
 * [K Means Clust](machine_learning/k_means_clust.py)
 * [K Nearest Neighbours](machine_learning/k_nearest_neighbours.py)
Expand DownExpand Up@@ -649,6 +649,7 @@
 * [Numerical Integration](maths/numerical_integration.py)
 * [Odd Sieve](maths/odd_sieve.py)
 * [Perfect Cube](maths/perfect_cube.py)
 * [Perfect Number](maths/perfect_number.py)
 * [Perfect Square](maths/perfect_square.py)
 * [Persistence](maths/persistence.py)
 * [Pi Generator](maths/pi_generator.py)
Expand DownExpand Up@@ -767,7 +768,6 @@
 * [Swish](neural_network/activation_functions/swish.py)
 * [Back Propagation Neural Network](neural_network/back_propagation_neural_network.py)
 * [Convolution Neural Network](neural_network/convolution_neural_network.py)
 * [Perceptron](neural_network/perceptron.py)
 * [Simple Neural Network](neural_network/simple_neural_network.py)

## Other
Expand DownExpand Up@@ -803,8 +803,10 @@
 * [Archimedes Principle Of Buoyant Force](physics/archimedes_principle_of_buoyant_force.py)
 * [Basic Orbital Capture](physics/basic_orbital_capture.py)
 * [Casimir Effect](physics/casimir_effect.py)
 * [Center Of Mass](physics/center_of_mass.py)
 * [Centripetal Force](physics/centripetal_force.py)
 * [Coulombs Law](physics/coulombs_law.py)
 * [Doppler Frequency](physics/doppler_frequency.py)
 * [Grahams Law](physics/grahams_law.py)
 * [Horizontal Projectile Motion](physics/horizontal_projectile_motion.py)
 * [Hubble Parameter](physics/hubble_parameter.py)
Expand Down

55 changes: 37 additions & 18 deletions
boolean_algebra/nor_gate.py

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Open in desktop

Original file line numberDiff line numberDiff line change
@@ -1,15 +1,18 @@
"""
A NOR Gate is a logic gate in boolean algebra which results to false(0)
if any of the input is 1, and True(1) if  both the inputs are 0.
A NOR Gate is a logic gate in boolean algebra which results in false(0) if any of the
inputs is 1, and True(1) if all inputs are 0.
Following is the truth table of a NOR Gate:
 | Input 1 | Input 2 | Output |
 | 0 | 0 | 1 |
 | 0 | 1 | 0 |
 | 1 | 0 | 0 |
 | 1 | 1 | 0 |
 Truth Table of NOR Gate:
 | Input 1 | Input 2 | Output |
 | 0 | 0 | 1 |
 | 0 | 1 | 0 |
 | 1 | 0 | 0 |
 | 1 | 1 | 0 |

Following is the code implementation of the NOR Gate
 Code provided by Akshaj Vishwanathan
https://www.geeksforgeeks.org/logic-gates-in-python
"""
from collections.abc import Callable


def nor_gate(input_1: int, input_2: int) -> int:
Expand All@@ -30,19 +33,35 @@ def nor_gate(input_1: int, input_2: int) -> int:
 return int(input_1 == input_2 == 0)


def main() -> None:
 print("Truth Table of NOR Gate:")
 print("| Input 1 | Input 2 | Output |")
 print(f"| 0 | 0 | {nor_gate(0, 0)} |")
 print(f"| 0 | 1 | {nor_gate(0, 1)} |")
 print(f"| 1 | 0 | {nor_gate(1, 0)} |")
 print(f"| 1 | 1 | {nor_gate(1, 1)} |")
def truth_table(func: Callable) -> str:
 """
 >>> print(truth_table(nor_gate))
 Truth Table of NOR Gate:
 | Input 1 | Input 2 | Output |
 | 0 | 0 | 1 |
 | 0 | 1 | 0 |
 | 1 | 0 | 0 |
 | 1 | 1 | 0 |
 """

 def make_table_row(items: list | tuple) -> str:
 """
 >>> make_table_row(("One", "Two", "Three"))
 '| One | Two | Three |'
 """
 return f"| {' | '.join(f'{item:^8}' for item in items)} |"

 return "\n".join(
 (
 "Truth Table of NOR Gate:",
 make_table_row(("Input 1", "Input 2", "Output")),
 *[make_table_row((i, j, func(i, j))) for i in (0, 1) for j in (0, 1)],
 )
 )


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 main()
"""Code provided by Akshaj Vishwanathan"""
"""Reference: https://www.geeksforgeeks.org/logic-gates-in-python/"""
 print(truth_table(nor_gate))

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
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var __re = new RegExp('^' + ".*" + '
Updated doctests for nor_gate by nkstonks · Pull Request #10791 · TheAlgorithms/Python · GitHub
Skip to content
Updated doctests for nor_gate #10791

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Oct 21, 2023
034133a

Merge branch 'TheAlgorithms:master' into master


nkstonks Oct 22, 2023
d87a2cc

updating DIRECTORY.md

Oct 22, 2023
e83ebb6

Update nor_gate.py


cclauss Oct 22, 2023

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6 changes: 4 additions & 2 deletions
DIRECTORY.md

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Original file line numberDiff line numberDiff line change
Expand Up@@ -541,7 +541,7 @@
 * [Dimensionality Reduction](machine_learning/dimensionality_reduction.py)
 * Forecasting
 * [Run](machine_learning/forecasting/run.py)
 * [Frequent Pattern Growth Algorithm](machine_learning/frequent_pattern_growth.py)
 * [Frequent Pattern Growth](machine_learning/frequent_pattern_growth.py)
 * [Gradient Descent](machine_learning/gradient_descent.py)
 * [K Means Clust](machine_learning/k_means_clust.py)
 * [K Nearest Neighbours](machine_learning/k_nearest_neighbours.py)
Expand DownExpand Up@@ -649,6 +649,7 @@
 * [Numerical Integration](maths/numerical_integration.py)
 * [Odd Sieve](maths/odd_sieve.py)
 * [Perfect Cube](maths/perfect_cube.py)
 * [Perfect Number](maths/perfect_number.py)
 * [Perfect Square](maths/perfect_square.py)
 * [Persistence](maths/persistence.py)
 * [Pi Generator](maths/pi_generator.py)
Expand DownExpand Up@@ -767,7 +768,6 @@
 * [Swish](neural_network/activation_functions/swish.py)
 * [Back Propagation Neural Network](neural_network/back_propagation_neural_network.py)
 * [Convolution Neural Network](neural_network/convolution_neural_network.py)
 * [Perceptron](neural_network/perceptron.py)
 * [Simple Neural Network](neural_network/simple_neural_network.py)

## Other
Expand DownExpand Up@@ -803,8 +803,10 @@
 * [Archimedes Principle Of Buoyant Force](physics/archimedes_principle_of_buoyant_force.py)
 * [Basic Orbital Capture](physics/basic_orbital_capture.py)
 * [Casimir Effect](physics/casimir_effect.py)
 * [Center Of Mass](physics/center_of_mass.py)
 * [Centripetal Force](physics/centripetal_force.py)
 * [Coulombs Law](physics/coulombs_law.py)
 * [Doppler Frequency](physics/doppler_frequency.py)
 * [Grahams Law](physics/grahams_law.py)
 * [Horizontal Projectile Motion](physics/horizontal_projectile_motion.py)
 * [Hubble Parameter](physics/hubble_parameter.py)
Expand Down

55 changes: 37 additions & 18 deletions
boolean_algebra/nor_gate.py

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Open in desktop

Original file line numberDiff line numberDiff line change
@@ -1,15 +1,18 @@
"""
A NOR Gate is a logic gate in boolean algebra which results to false(0)
if any of the input is 1, and True(1) if  both the inputs are 0.
A NOR Gate is a logic gate in boolean algebra which results in false(0) if any of the
inputs is 1, and True(1) if all inputs are 0.
Following is the truth table of a NOR Gate:
 | Input 1 | Input 2 | Output |
 | 0 | 0 | 1 |
 | 0 | 1 | 0 |
 | 1 | 0 | 0 |
 | 1 | 1 | 0 |
 Truth Table of NOR Gate:
 | Input 1 | Input 2 | Output |
 | 0 | 0 | 1 |
 | 0 | 1 | 0 |
 | 1 | 0 | 0 |
 | 1 | 1 | 0 |

Following is the code implementation of the NOR Gate
 Code provided by Akshaj Vishwanathan
https://www.geeksforgeeks.org/logic-gates-in-python
"""
from collections.abc import Callable


def nor_gate(input_1: int, input_2: int) -> int:
Expand All@@ -30,19 +33,35 @@ def nor_gate(input_1: int, input_2: int) -> int:
 return int(input_1 == input_2 == 0)


def main() -> None:
 print("Truth Table of NOR Gate:")
 print("| Input 1 | Input 2 | Output |")
 print(f"| 0 | 0 | {nor_gate(0, 0)} |")
 print(f"| 0 | 1 | {nor_gate(0, 1)} |")
 print(f"| 1 | 0 | {nor_gate(1, 0)} |")
 print(f"| 1 | 1 | {nor_gate(1, 1)} |")
def truth_table(func: Callable) -> str:
 """
 >>> print(truth_table(nor_gate))
 Truth Table of NOR Gate:
 | Input 1 | Input 2 | Output |
 | 0 | 0 | 1 |
 | 0 | 1 | 0 |
 | 1 | 0 | 0 |
 | 1 | 1 | 0 |
 """

 def make_table_row(items: list | tuple) -> str:
 """
 >>> make_table_row(("One", "Two", "Three"))
 '| One | Two | Three |'
 """
 return f"| {' | '.join(f'{item:^8}' for item in items)} |"

 return "\n".join(
 (
 "Truth Table of NOR Gate:",
 make_table_row(("Input 1", "Input 2", "Output")),
 *[make_table_row((i, j, func(i, j))) for i in (0, 1) for j in (0, 1)],
 )
 )


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 main()
"""Code provided by Akshaj Vishwanathan"""
"""Reference: https://www.geeksforgeeks.org/logic-gates-in-python/"""
 print(truth_table(nor_gate))

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
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style = document.createElement('style');
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Updated doctests for nor_gate by nkstonks · Pull Request #10791 · TheAlgorithms/Python · GitHub
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 Merged

cclauss
merged 5 commits into

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Oct 22, 2023
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Updated doctests for nor_gate #10791
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3ceb9fb

added other possible cases

Oct 21, 2023
1441533

added test for correct output of truth table

Oct 21, 2023
034133a

Merge branch 'TheAlgorithms:master' into master


nkstonks Oct 22, 2023
d87a2cc

updating DIRECTORY.md

Oct 22, 2023
e83ebb6

Update nor_gate.py


cclauss Oct 22, 2023

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6 changes: 4 additions & 2 deletions
DIRECTORY.md

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -541,7 +541,7 @@
 * [Dimensionality Reduction](machine_learning/dimensionality_reduction.py)
 * Forecasting
 * [Run](machine_learning/forecasting/run.py)
 * [Frequent Pattern Growth Algorithm](machine_learning/frequent_pattern_growth.py)
 * [Frequent Pattern Growth](machine_learning/frequent_pattern_growth.py)
 * [Gradient Descent](machine_learning/gradient_descent.py)
 * [K Means Clust](machine_learning/k_means_clust.py)
 * [K Nearest Neighbours](machine_learning/k_nearest_neighbours.py)
Expand DownExpand Up@@ -649,6 +649,7 @@
 * [Numerical Integration](maths/numerical_integration.py)
 * [Odd Sieve](maths/odd_sieve.py)
 * [Perfect Cube](maths/perfect_cube.py)
 * [Perfect Number](maths/perfect_number.py)
 * [Perfect Square](maths/perfect_square.py)
 * [Persistence](maths/persistence.py)
 * [Pi Generator](maths/pi_generator.py)
Expand DownExpand Up@@ -767,7 +768,6 @@
 * [Swish](neural_network/activation_functions/swish.py)
 * [Back Propagation Neural Network](neural_network/back_propagation_neural_network.py)
 * [Convolution Neural Network](neural_network/convolution_neural_network.py)
 * [Perceptron](neural_network/perceptron.py)
 * [Simple Neural Network](neural_network/simple_neural_network.py)

## Other
Expand DownExpand Up@@ -803,8 +803,10 @@
 * [Archimedes Principle Of Buoyant Force](physics/archimedes_principle_of_buoyant_force.py)
 * [Basic Orbital Capture](physics/basic_orbital_capture.py)
 * [Casimir Effect](physics/casimir_effect.py)
 * [Center Of Mass](physics/center_of_mass.py)
 * [Centripetal Force](physics/centripetal_force.py)
 * [Coulombs Law](physics/coulombs_law.py)
 * [Doppler Frequency](physics/doppler_frequency.py)
 * [Grahams Law](physics/grahams_law.py)
 * [Horizontal Projectile Motion](physics/horizontal_projectile_motion.py)
 * [Hubble Parameter](physics/hubble_parameter.py)
Expand Down

55 changes: 37 additions & 18 deletions
boolean_algebra/nor_gate.py

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Original file line numberDiff line numberDiff line change
@@ -1,15 +1,18 @@
"""
A NOR Gate is a logic gate in boolean algebra which results to false(0)
if any of the input is 1, and True(1) if  both the inputs are 0.
A NOR Gate is a logic gate in boolean algebra which results in false(0) if any of the
inputs is 1, and True(1) if all inputs are 0.
Following is the truth table of a NOR Gate:
 | Input 1 | Input 2 | Output |
 | 0 | 0 | 1 |
 | 0 | 1 | 0 |
 | 1 | 0 | 0 |
 | 1 | 1 | 0 |
 Truth Table of NOR Gate:
 | Input 1 | Input 2 | Output |
 | 0 | 0 | 1 |
 | 0 | 1 | 0 |
 | 1 | 0 | 0 |
 | 1 | 1 | 0 |

Following is the code implementation of the NOR Gate
 Code provided by Akshaj Vishwanathan
https://www.geeksforgeeks.org/logic-gates-in-python
"""
from collections.abc import Callable


def nor_gate(input_1: int, input_2: int) -> int:
Expand All@@ -30,19 +33,35 @@ def nor_gate(input_1: int, input_2: int) -> int:
 return int(input_1 == input_2 == 0)


def main() -> None:
 print("Truth Table of NOR Gate:")
 print("| Input 1 | Input 2 | Output |")
 print(f"| 0 | 0 | {nor_gate(0, 0)} |")
 print(f"| 0 | 1 | {nor_gate(0, 1)} |")
 print(f"| 1 | 0 | {nor_gate(1, 0)} |")
 print(f"| 1 | 1 | {nor_gate(1, 1)} |")
def truth_table(func: Callable) -> str:
 """
 >>> print(truth_table(nor_gate))
 Truth Table of NOR Gate:
 | Input 1 | Input 2 | Output |
 | 0 | 0 | 1 |
 | 0 | 1 | 0 |
 | 1 | 0 | 0 |
 | 1 | 1 | 0 |
 """

 def make_table_row(items: list | tuple) -> str:
 """
 >>> make_table_row(("One", "Two", "Three"))
 '| One | Two | Three |'
 """
 return f"| {' | '.join(f'{item:^8}' for item in items)} |"

 return "\n".join(
 (
 "Truth Table of NOR Gate:",
 make_table_row(("Input 1", "Input 2", "Output")),
 *[make_table_row((i, j, func(i, j))) for i in (0, 1) for j in (0, 1)],
 )
 )


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 main()
"""Code provided by Akshaj Vishwanathan"""
"""Reference: https://www.geeksforgeeks.org/logic-gates-in-python/"""
 print(truth_table(nor_gate))