update error message
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@@ -49,7 +49,7 @@ def spatial_markov_trend(subquery, time_cols, num_time_per_bin,
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query_result = plpy.execute(query)
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except:
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plpy.notice('** Query failed: %s' % query)
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plpy.error('Query failed: check the input parameters')
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plpy.error('Spatial Markov failed: check the input parameters')
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return zip([None], [None], [None], [None], [None])
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## build weight
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@@ -91,7 +91,7 @@ def get_time_data(markov_data, time_cols):
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def rebin_data(time_data, num_time_per_bin):
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"""
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convert an n x l matrix into an (n/m) x l matrix where the values are
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Convert an n x l matrix into an (n/m) x l matrix where the values are
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reduced (averaged) for the intervening states:
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1 2 3 4 1.5 3.5
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5 6 7 8 -> 5.5 7.5
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@@ -126,7 +126,7 @@ def rebin_data(time_data, num_time_per_bin):
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for i in range(n_max)]).T
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def get_prob_dist(transition_matrix, lag_indices, unit_indices):
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"""
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given an array of transition matrices, look up the probability
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Given an array of transition matrices, look up the probability
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associated with the arrangements passed
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Input:
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