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Runtime error
Runtime error
Daniel Varga
commited on
Commit
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dd041b8
1
Parent(s):
751b904
heads OR tails
Browse files
app.py
CHANGED
@@ -1,11 +1,12 @@
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import gradio as gr
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import numpy as np
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import plotly.graph_objects as go
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# N sequences, each with n coinflips.
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# for each sequence, determine the length of the longest constant 0 interval.
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def
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data = np.random.binomial(size=(N, n + 2), n=1, p=0.5)
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# putting 1s at both ends as barriers:
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data[:, 0] = 1
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@@ -21,10 +22,40 @@ def histogram(N, n):
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return np.array(ks)
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def visualize(x):
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fig = go.Figure(data=[go.Histogram(x=x, marker=dict(color='#7A88CC'), nbinsx=x_range)])
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fig.update_layout(title='
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return fig
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import gradio as gr
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import numpy as np
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import plotly.graph_objects as go
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import numba
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# N sequences, each with n coinflips.
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# for each sequence, determine the length of the longest constant 0 interval.
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def histogram_vectorized(N, n):
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data = np.random.binomial(size=(N, n + 2), n=1, p=0.5)
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# putting 1s at both ends as barriers:
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data[:, 0] = 1
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return np.array(ks)
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@numba.njit
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def length_of_longest(seq):
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longest = 0
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current = 1
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for j in range(1, len(seq)):
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if seq[j - 1] == seq[j]:
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current += 1
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else:
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if current > longest:
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longest = current
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current = 1
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if current > longest:
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longest = current
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return longest
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# N sequences, each with n coinflips.
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# for each sequence, determine the length of the longest constant 0 interval.
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@numba.njit
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def histogram(N, n):
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data = np.random.binomial(size=(N, n), n=1, p=0.5)
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ks = np.empty(N)
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for i in range(N):
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ks[i] = length_of_longest(data[i])
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return ks
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def visualize(x):
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if len(x) > 0:
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x_range = int(np.max(x) - np.min(x) + 1)
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else:
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x_range = 1
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fig = go.Figure(data=[go.Histogram(x=x, marker=dict(color='#7A88CC'), nbinsx=x_range)])
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fig.update_layout(title='Longest row of same flips', xaxis_title='length k', yaxis_title='count')
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return fig
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