allcoding1
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📈 Análisis del canal de Telegram allcoding1
El canal allcoding1 (@allcoding1) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 21 578 suscriptores, ocupando la posición 9 062 en la categoría Educación y el puesto 19 025 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 21 578 suscriptores.
Según los últimos datos del 29 agosto, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -360, y en las últimas 24 horas de -8, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 5.78%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.10% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 1 247 visualizaciones. En el primer día suele acumular 238 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 0.
- Intereses temáticos: El contenido se centra en temas clave como dsa, stack, namaste, javascript, learning.
📝 Descripción y política de contenido
No se ha proporcionado la descripción del canal.
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 30 agosto, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Educación.
21 578
Suscriptores
-824 horas
-787 días
-36030 días
Archivo de publicaciones
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def longest_equal_subarray():
n = int(input())
A = [int(input()) for _ in range(n)]
A = [-1 if x == 0 else 1 for x in A]
prefix_sum_map = {}
prefix_sum = 0
max_length = 0
for i in range(n):
prefix_sum += A[i]
if prefix_sum == 0:
max_length = i + 1
if prefix_sum in prefix_sum_map:
max_length = max(max_length, i - prefix_sum_map[prefix_sum])
else:
prefix_sum_map[prefix_sum] = i
return max_length
print(longest_equal_subarray())
Infosys Longest Subarray code
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class TreeNode:
def init(self, value=0, left=None, right=None):
self.value = value
self.left = left
self.right = right
def count_nodes(node, counts):
if node is None:
return
if node.value in counts:
counts[node.value] += 1
else:
counts[node.value] = 1
count_nodes(node.left, counts)
count_nodes(node.right, counts)
def find_double_roots(root):
counts = {}
count_nodes(root, counts)
double_roots = [value for value, count in counts.items() if count > 1]
return double_roots
def main():
# Example tree:
# 1
# / \
# 2 3
# / \
# 2 4
root = TreeNode(1)
root.left = TreeNode(2)
root.right = TreeNode(3)
root.left.left = TreeNode(2)
root.left.right = TreeNode(4)
result = find_double_roots(root)
print("Nodes with double roots:", result)
if name == "main":
main()
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def max_cost_split(s):
n = len(s)
max_cost = 0
for i in range(1, n):
a = s[:i]
b = s[i:]
cost_a = len(set(a))
cost_b = len(set(b))
max_cost = max(max_cost, cost_a + cost_b)
return n - max_cost
Infosys max cost split code in python
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def max_sum_of_distinct_characters(S):
n = len(S)
left_chars = set()
right_chars = set()
left_count = [0] * n
right_count = [0] * n
for i in range(n):
left_chars.add(S[i])
left_count[i] = len(left_chars)
for i in range(n-1, -1, -1):
right_chars.add(S[i])
right_count[i] = len(right_char)
max_sum = 0
for i in range(n-1):
max_sum = max(max_sum, left_count[i] + right_count[i+1])
return n- max_sum
Split String code
Python 3
All passed
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import sys
det solve(N, A)
for i in range(N):
if A[i]=0;
A[1]
ps=0
M-1
pm={0:-1)
for i in range(N):
ps+=A[i]
if ps in pm:
m=max(m,i-pm[ps])
else:
pm[ps]=i
return m
def main():
Nint(sys.stdin.readline().strip())
A-[]
for_ in range(N):
A.append(int(sys.stdin.readline().strip()))
result = solve(N, A)
print(result)
Largest Subarray with equal number
Infosys
21 578
def solve(N, A):
unique_sums = set()
for start in range(N):
current_sum = 0
for end in range(start, N):
current_sum += A[end]
unique_sums.add(current_sum)
print(len(unique_sums))
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def count_distinct_strings(S):
distinct_strings = set()
for i in range(len(S) - 1):
new_string = S[:i] + S[i+2:]
distinct_strings.add(new_string)
return len(distinct_strings)
# Read input string
S = input().strip()
# Get the number of distinct strings that can be generated
result = count_distinct_strings(S)
print(result)
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def minimum_unique_sum(A):
N = len(A)
A.sort()
total = A[0]
for i in range(1, N):
if A[i] <= A[i-1]:
A[i] = A[i-1] + 1
total += A[i]
return total
# Input format
N = int(input())
A = []
for i in range(N):
A.append(int(input()))
# Output
result = minimum_unique_sum(A)
print(result)
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def split_string_cost(S):
# Length of the string S
len_S = len(S)
# To store the cost of the split parts
max_cost = 0
# Set to keep track of distinct characters in the first part
distinct_chars_A = set()
# List to keep track of the cost for the second part from each split position
cost_B = [0] * len_S
# Set to keep track of distinct characters in the second part
distinct_chars_B = set()
# Calculate cost for second part from the end
for i in range(len_S - 1, -1, -1):
distinct_chars_B.add(S[i])
cost_B[i] = len(distinct_chars_B)
# Calculate maximum sum of cost for parts A and B
for i in range(len_S - 1):
distinct_chars_A.add(S[i])
cost_A = len(distinct_chars_A)
cost = cost_A + cost_B[i + 1]
max_cost = max(max_cost, cost)
# Calculate the result as |S| - X
result = len_S - max_cost
return result
# Example usage
S = "aaabbb"
print(split_string_cost(S)) # Output: 3
21 578
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21 578
Accenture HackDiva Test Pattern - 2 Codes
Round 1-2 Codes (90 min)
Round 2-2 Codes (120 min)
Round 3-2 Codes (120 min)
Note: Each Round is Elimination
Round 1 (DATE: 07 JULY 2024)
Round 2 (DATE: 14 JULY 2024)
Round 3 (DATE: 21 JULY 2024)
