tally_poly_vector: Vector Tally of Poly-syllabic Words
In syllable: A Small Collection of Syllable Counting Functions
Description
Usage
Arguments
Value
See Also
Examples
View source: R/tally_poly_vector.R
Description
Poly-syllabic word tallies for the words in a vector of strings.
Usage
1
tally_poly_vector(x, ...)
Arguments
x
A character vector.
...
ignored.
Value
Returns a vector of integer tallies for the total number of
polysyllable words for each string in the vector.
See Also
Other syllable.functions: count_string,
count_vector_by,
count_vector, sum_string,
sum_vector_by, sum_vector,
tally_both_string,
tally_both_vector_by,
tally_both_vector,
tally_di_string,
tally_di_vector_by,
tally_di_vector,
tally_mono_string,
tally_mono_vector_by,
tally_mono_vector,
tally_poly_string,
tally_poly_vector_by,
tally_short_string,
tally_short_vector_by,
tally_short_vector
Examples
1
2
3
sents <- c("I like excellent chicken.", "I desparately want eggs benedict.")
tally_poly_vector(sents)
tally_poly_vector(presidential_debates_2012$dialogue)
Example output
[1] 1 2
[1] 1 1 3 1 0 0 2 0 1 2 0 0 5 0 1 1 2 0 1 2 0 0 2 5
[25] 1 3 1 0 0 1 2 1 2 2 1 0 2 0 1 0 0 0 1 1 0 0 0 1
[49] 1 1 2 0 0 1 3 0 0 1 1 1 1 0 4 0 1 1 0 0 2 1 2 0
[73] 1 2 2 2 1 0 0 0 0 5 1 0 4 5 0 1 1 1 1 0 0 0 1 1
[97] 0 2 1 0 0 0 2 1 3 0 3 1 2 2 0 0 2 1 1 2 1 4 1 3
[121] 2 0 0 1 1 1 2 1 2 0 2 1 1 2 5 0 1 1 0 2 1 1 2 0
[145] 2 3 0 1 0 1 0 0 1 0 0 2 2 0 4 0 3 0 1 2 0 1 1 2
[169] 1 2 0 6 0 0 2 2 3 5 5 3 3 5 2 2 2 0 0 1 1 0 3 4
[193] 0 0 9 0 2 0 1 4 0 1 4 1 7 7 5 1 0 1 1 2 1 2 1 5
[217] 4 2 0 1 0 2 3 2 2 2 3 6 6 0 5 2 0 2 0 1 3 3 6 3
[241] 1 2 1 0 1 1 6 3 0 2 1 0 1 0 2 2 1 2 1 3 3 4 3 2
[265] 0 2 3 4 0 6 3 5 0 2 1 2 4 2 5 3 2 2 1 2 1 4 1 0
[289] 1 0 1 2 2 0 2 3 0 0 0 0 3 1 1 0 0 1 1 1 3 0 0 2
[313] 1 0 3 5 3 1 2 0 1 0 5 2 0 1 1 0 5 2 0 3 0 1 8 4
[337] 3 9 0 0 2 1 0 1 3 2 0 2 3 1 2 2 0 0 1 0 1 1 1 3
[361] 3 1 3 1 3 4 2 3 2 0 5 5 3 0 1 0 1 0 0 0 0 2 1 6
[385] 3 3 4 2 0 3 1 5 2 4 5 0 9 3 0 0 2 2 4 1 0 2 2 1
[409] 4 0 1 3 3 7 3 1 1 4 1 1 0 0 1 0 1 0 0 2 1 4 3 1
[433] 0 2 2 2 1 0 0 1 2 1 1 0 0 0 0 0 0 3 0 2 5 2 1 4
[457] 1 0 0 1 6 3 2 2 2 0 3 7 0 0 1 4 8 2 1 1 0 1 0 2
[481] 3 2 2 1 2 0 2 2 0 0 3 3 1 0 3 7 2 0 17 3 1 3 1 2
[505] 1 0 1 1 0 3 2 2 1 2 1 4 0 2 1 0 3 0 1 1 1 3 1 0
[529] 2 2 1 3 2 3 1 2 4 2 2 2 0 1 1 5 1 0 1 0 3 3 0 2
[553] 0 2 1 2 1 2 4 1 0 1 1 5 4 1 1 2 1 0 3 0 0 1 0 0
[577] 1 0 2 6 0 0 0 1 0 1 1 1 0 0 0 0 1 2 0 0 2 0 0 1
[601] 0 1 0 1 1 3 0 2 0 1 1 0 1 1 3 6 1 1 5 1 3 3 1 1
[625] 1 1 1 4 1 1 0 0 4 1 1 0 0 2 0 0 1 1 1 2 0 3 0 1
[649] 1 0 2 3 3 1 0 1 2 0 3 1 1 1 0 1 6 1 1 1 2 1 0 1
[673] 1 2 0 0 0 1 0 0 1 1 1 4 3 2 1 1 2 3 2 0 1 0 2 2
[697] 0 2 3 3 1 4 5 1 2 2 0 2 1 0 1 4 4 3 0 4 0 1 1 2
[721] 0 2 2 5 2 0 1 0 0 0 4 1 1 4 6 5 4 1 1 1 0 1 1 1
[745] 1 2 1 0 5 3 2 4 2 1 4 1 0 5 1 1 2 0 0 3 1 0 0 0
[769] 2 0 3 1 1 0 0 0 0 0 0 0 1 1 0 0 0 0 2 2 1 0 0 2
[793] 1 1 0 1 3 1 1 2 2 0 0 0 0 0 0 0 0 1 1 1 1 0 2 0
[817] 0 0 1 4 3 4 1 6 0 2 1 0 0 0 7 3 2 1 0 1 2 4 9 0
[841] 2 0 2 0 0 0 1 0 1 0 0 0 0 0 1 0 0 2 0 0 2 1 0 0
[865] 3 2 3 1 0 0 1 0 1 2 0 6 6 0 0 1 2 2 0 3 2 2 1 0
[889] 1 2 1 0 1 4 2 0 0 3 4 4 0 1 5 3 1 0 0 2 1 4 0 0
[913] 2 0 1 0 2 1 1 1 0 0 0 2 1 0 2 7 0 0 3 0 2 1 1 1
[937] 2 3 2 0 1 2 1 1 3 1 2 7 4 1 1 0 1 0 0 3 2 0 2 3
[961] 1 1 0 2 0 2 0 1 0 3 3 0 0 0 2 1 0 0 0 2 2 1 0 0
[985] 2 2 4 0 3 1 2 1 0 0 3 4 3 4 4 4 0 1 3 2 1 0 0 1
[1009] 0 0 1 1 3 1 0 2 2 0 2 3 0 0 0 0 0 3 0 2 1 1 0 3
[1033] 1 1 0 0 1 6 1 0 2 2 1 1 1 0 1 1 2 0 5 1 1 4 1 2
[1057] 2 1 2 2 1 1 2 0 6 0 1 1 3 0 7 1 2 0 0 0 0 1 3 0
[1081] 0 0 1 7 0 2 1 2 2 2 1 3 1 4 0 2 0 1 5 0 4 1 1 1
[1105] 5 1 7 2 2 1 2 0 1 1 3 1 2 2 0 1 3 6 4 1 1 0 0 1
[1129] 0 0 0 1 0 0 1 1 0 3 2 2 4 1 0 4 6 5 1 2 1 1 0 1
[1153] 4 1 1 3 1 0 0 1 2 0 3 2 1 0 3 1 1 1 1 0 1 2 1 0
[1177] 5 1 10 1 5 3 4 0 0 0 2 1 2 1 6 1 0 1 0 1 0 1 1 1
[1201] 2 0 0 2 0 1 0 6 2 2 1 1 0 1 0 6 4 2 0 3 0 5 0 1
[1225] 0 1 1 0 2 1 2 0 2 1 0 0 0 1 0 2 2 0 0 1 0 1 1 0
[1249] 0 1 0 3 0 0 1 2 0 1 1 0 0 3 0 5 4 1 0 1 2 2 0 0
[1273] 0 1 0 1 1 7 1 2 7 1 1 2 1 1 3 3 1 2 1 0 0 1 1 1
[1297] 1 2 0 1 0 0 0 0 0 0 4 0 0 0 0 0 2 1 1 4 1 0 0 0
[1321] 1 1 2 0 0 0 2 1 1 2 4 1 3 7 6 0 3 4 1 0 2 0 1 0
[1345] 0 0 3 4 1 1 3 4 0 0 1 0 2 1 1 3 5 1 1 5 0 4 1 2
[1369] 0 3 0 5 5 2 0 0 2 1 1 6 0 3 1 1 0 0 0 0 1 0 0 1
[1393] 1 2 0 3 0 2 1 2 0 0 0 1 1 1 1 0 0 0 0 1 5 1 0 0
[1417] 1 0 0 0 0 0 0 2 2 1 1 1 0 1 0 1 3 5 1 1 0 3 3 1
[1441] 1 8 0 0 0 2 1 1 1 1 0 0 0 0 1 0 0 0 0 4 0 7 1 4
[1465] 3 1 1 2 6 5 4 2 2 5 3 2 2 2 1 0 4 3 2 0 1 1 1 7
[1489] 2 2 1 2 4 1 2 4 0 12 7 0 1 1 2 3 4 1 8 6 0 2 4 1
[1513] 2 0 5 3 1 1 3 0 5 0 2 1 0 0 2 0 0 2 1 2 0 0 0 0
[1537] 0 1 0 7 0 2 2 0 0 3 0 1 1 1 0 1 1 0 0 0 0 0 0 1
[1561] 4 6 2 2 1 4 2 3 0 2 1 3 1 1 3 1 1 2 0 4 2 4 3 1
[1585] 2 2 3 4 4 0 5 1 0 1 1 0 1 0 0 0 0 0 1 1 5 0 1 1
[1609] 0 1 2 1 1 0 0 1 1 4 1 2 1 1 2 0 1 0 1 2 3 0 3 2
[1633] 4 0 0 2 1 2 0 1 0 0 2 6 6 0 0 3 2 2 0 0 1 1 2 1
[1657] 1 2 4 1 1 1 0 1 0 0 3 0 1 3 1 2 4 0 0 1 1 0 1 1
[1681] 0 0 2 1 3 3 5 0 1 6 1 2 0 3 1 0 3 1 1 0 1 3 2 1
[1705] 0 3 0 2 1 1 1 0 2 0 0 0 0 0 2 1 0 4 1 1 3 1 1 1
[1729] 1 2 0 0 1 0 0 3 4 2 2 3 1 2 0 3 1 2 1 0 2 1 1 0
[1753] 1 1 1 1 0 1 2 0 0 0 2 0 1 0 3 1 0 1 0 0 1 1 2 0
[1777] 2 4 4 0 1 2 1 1 3 1 1 2 0 0 0 0 1 0 0 0 2 1 3 0
[1801] 3 2 0 1 0 2 2 1 0 1 5 1 0 1 2 6 6 0 1 0 1 2 4 0
[1825] 0 0 1 1 1 1 5 0 1 0 0 2 2 1 3 0 5 4 1 3 3 0 1 2
[1849] 2 1 2 3 0 6 1 5 1 2 0 4 3 6 1 9 1 2 7 5 0 3 6 3
[1873] 1 1 1 3 0 3 0 2 0 1 2 4 1 1 0 1 2 0 4 0 2 0 2 1
[1897] 1 5 6 2 0 5 1 0 6 2 0 2 2 5 0 1 1 2 2 4 0 2 0 0
[1921] 4 1 0 0 0 1 3 1 1 0 0 0 1 3 0 1 0 0 0 1 0 0 1 1
[1945] 0 0 0 1 0 1 1 1 1 1 0 1 0 3 2 4 2 6 4 2 2 2 3 2
[1969] 0 1 1 1 1 0 0 3 1 0 3 2 1 10 3 9 4 7 1 5 1 3 3 6
[1993] 1 0 3 2 4 3 1 8 1 0 0 3 1 0 6 1 0 4 3 1 0 0 1 0
[2017] 1 2 0 1 1 2 3 0 2 6 1 5 3 1 4 0 0 3 1 4 2 3 1 6
[2041] 1 2 0 1 2 0 2 5 3 1 1 0 1 1 1 0 3 6 1 2 3 0 1 0
[2065] 2 2 1 7 3 2 1 3 2 7 2 0 0 9 4 7 1 2 0 3 0 8 8 0
[2089] 0 1 0 4 0 0 1 1 2 3 3 1 1 1 1 4 3 0 4 0 2 2 3 3
[2113] 0 0 1 0 1 5 5 1 0 1 1 2 1 1 1 0 1 1 1 2 0 3 1 1
[2137] 3 1 0 3 3 4 3 1 2 1 6 3 10 3 6 4 2 2 3 1 1 2 2 1
[2161] 2 1 2 3 2 2 1 0 1 1 0 1 3 3 0 0 0 2 3 3 0 3 1 0
[2185] 4 2 0 2 0 1 2 0 0 2 9 1 0 1 5 0 3 1 1 1 1 3 1 1
[2209] 3 2 6 2 1 0 0 0 1 0 1 0 0 1 0 0 0 6 1 0 0 1 0 0
[2233] 0 7 0 1 3 0 0 2 0 0 1 0 1 4 0 0 0 0 0 0 2 0 1 0
[2257] 2 1 2 1 3 3 0 2 0 0 2 1 3 1 2 0 0 0 3 2 2 0 2 1
[2281] 0 2 1 0 1 5 3 0 0 0 1 1 3 0 1 1 0 0 1 0 1 0 0 1
[2305] 1 0 0 3 0 4 4 0 0 1 0 0 2 1 2 1 3 1 3 1 1 3 1 0
[2329] 0 0 1 4 1 2 1 1 0 3 1 0 2 1 6 5 3 0 4 1 1 1 5 2
[2353] 1 3 1 0 5 4 1 0 7 4 0 5 5 4 2 0 0 1 1 1 0 0 1 1
[2377] 0 0 1 0 3 4 2 0 2 3 5 1 2 4 0 1 1 0 2 0 1 3 1 3
[2401] 1 1 2 1 1 0 5 1 1 0 2 4 2 1 1 0 0 2 0 7 0 4 1 3
[2425] 1 4 3 5 0 4 0 2 2 5 6 3 3 3 0 2 1 2 0 2 1 2 1 7
[2449] 4 9 1 1 1 3 2 4 1 1 2 0 3 1 1 4 3 3 1 0 1 2 1 4
[2473] 1 1 1 1 1 7 5 3 2 0 0 1 5 2 0 0 0 0 0 3 1 1 3 0
[2497] 2 1 4 2 1 8 4 2 0 0 2 9 0 3 1 1 2 1 2 2 0 2 1 1
[2521] 1 0 4 3 2 5 0 4 0 1 1 0 1 0 5 5 3 0 1 1 2 1 2 3
[2545] 0 6 0 2 4 1 3 3 4 2 3 1 1 4 1 2 1 2 4 0 6 2 3 2
[2569] 12 3 0 1 2 6 0 2 0 2 7 2 3 1 6 2 4 3 3 1 2 0 3 1
[2593] 1 0 1 2 1 2 2 2 1 1 3 2 5 1 6 2 5 0 0 0 0 0 0 0
[2617] 0 3 0 4 1 5 5 2 1 4 1 1 3 3 0 3 0 1 0 0 1 1 1 2
[2641] 2 1 5 2 3 1 4 5 1 2 4 0 3 0 6 4 0 1 2 3 3 0 1 0
[2665] 1 2 1 0 1 2 2 0 1 1 3 0 3 4 3 3 1 2 1 3 0 1 0 0
[2689] 2 5 1 0 1 1 2 0 0 0 0 0 0 2 2 1 1 0 5 4 1 3 0 2
[2713] 0 1 0 1 0 6 0 0 2 2 2 0 1 1 5 1 0 3 0 1 1 7 2 2
[2737] 3 1 2 3 2 0 0 0 1 1 0 0 1 1 1 1 2 4 1 1 1 0 1 4
[2761] 3 3 0 0 1 0 1 0 2 1 3 2 7 4 2 1 0 0 2 2 1 1 0 0
[2785] 0 2 0 5 2 0 1 0 0 1 0 0 0 0 1 2 2 0 2 1 0 0 0 0
[2809] 0 0 0 0 0 0 2 1 0 2 0 5 1 6 7 2 0 2 3 1 0 0 0 0
[2833] 0 1 0 0 2 1 0 2 5 0 1 2 1 1 2 0 0 0 2 0 1 2 2 0
[2857] 4 6 2 0 6 1 2 4 4 2 4 5 3 0 1 0 2 1 1 0 0 1 2 5
[2881] 1 1 2 0 3 0 3 0 1 0 0 2 2 0 1 1 2 0 3 1 0 0 1 0
[2905] 0 0 4 0 1 1 0 0
syllable documentation built on May 30, 2017, 12:52 a.m.
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Description Usage Arguments Value See Also Examples
View source: R/tally_poly_vector.R
Description
Poly-syllabic word tallies for the words in a vector of strings.
Usage
1 | tally_poly_vector(x, ...)
|
Arguments
x |
A character vector. |
... |
ignored. |
Value
Returns a vector of integer tallies for the total number of polysyllable words for each string in the vector.
See Also
Other syllable.functions: count_string,
count_vector_by,
count_vector, sum_string,
sum_vector_by, sum_vector,
tally_both_string,
tally_both_vector_by,
tally_both_vector,
tally_di_string,
tally_di_vector_by,
tally_di_vector,
tally_mono_string,
tally_mono_vector_by,
tally_mono_vector,
tally_poly_string,
tally_poly_vector_by,
tally_short_string,
tally_short_vector_by,
tally_short_vector
Examples
1 2 3 | sents <- c("I like excellent chicken.", "I desparately want eggs benedict.")
tally_poly_vector(sents)
tally_poly_vector(presidential_debates_2012$dialogue)
|
Example output
[1] 1 2
[1] 1 1 3 1 0 0 2 0 1 2 0 0 5 0 1 1 2 0 1 2 0 0 2 5
[25] 1 3 1 0 0 1 2 1 2 2 1 0 2 0 1 0 0 0 1 1 0 0 0 1
[49] 1 1 2 0 0 1 3 0 0 1 1 1 1 0 4 0 1 1 0 0 2 1 2 0
[73] 1 2 2 2 1 0 0 0 0 5 1 0 4 5 0 1 1 1 1 0 0 0 1 1
[97] 0 2 1 0 0 0 2 1 3 0 3 1 2 2 0 0 2 1 1 2 1 4 1 3
[121] 2 0 0 1 1 1 2 1 2 0 2 1 1 2 5 0 1 1 0 2 1 1 2 0
[145] 2 3 0 1 0 1 0 0 1 0 0 2 2 0 4 0 3 0 1 2 0 1 1 2
[169] 1 2 0 6 0 0 2 2 3 5 5 3 3 5 2 2 2 0 0 1 1 0 3 4
[193] 0 0 9 0 2 0 1 4 0 1 4 1 7 7 5 1 0 1 1 2 1 2 1 5
[217] 4 2 0 1 0 2 3 2 2 2 3 6 6 0 5 2 0 2 0 1 3 3 6 3
[241] 1 2 1 0 1 1 6 3 0 2 1 0 1 0 2 2 1 2 1 3 3 4 3 2
[265] 0 2 3 4 0 6 3 5 0 2 1 2 4 2 5 3 2 2 1 2 1 4 1 0
[289] 1 0 1 2 2 0 2 3 0 0 0 0 3 1 1 0 0 1 1 1 3 0 0 2
[313] 1 0 3 5 3 1 2 0 1 0 5 2 0 1 1 0 5 2 0 3 0 1 8 4
[337] 3 9 0 0 2 1 0 1 3 2 0 2 3 1 2 2 0 0 1 0 1 1 1 3
[361] 3 1 3 1 3 4 2 3 2 0 5 5 3 0 1 0 1 0 0 0 0 2 1 6
[385] 3 3 4 2 0 3 1 5 2 4 5 0 9 3 0 0 2 2 4 1 0 2 2 1
[409] 4 0 1 3 3 7 3 1 1 4 1 1 0 0 1 0 1 0 0 2 1 4 3 1
[433] 0 2 2 2 1 0 0 1 2 1 1 0 0 0 0 0 0 3 0 2 5 2 1 4
[457] 1 0 0 1 6 3 2 2 2 0 3 7 0 0 1 4 8 2 1 1 0 1 0 2
[481] 3 2 2 1 2 0 2 2 0 0 3 3 1 0 3 7 2 0 17 3 1 3 1 2
[505] 1 0 1 1 0 3 2 2 1 2 1 4 0 2 1 0 3 0 1 1 1 3 1 0
[529] 2 2 1 3 2 3 1 2 4 2 2 2 0 1 1 5 1 0 1 0 3 3 0 2
[553] 0 2 1 2 1 2 4 1 0 1 1 5 4 1 1 2 1 0 3 0 0 1 0 0
[577] 1 0 2 6 0 0 0 1 0 1 1 1 0 0 0 0 1 2 0 0 2 0 0 1
[601] 0 1 0 1 1 3 0 2 0 1 1 0 1 1 3 6 1 1 5 1 3 3 1 1
[625] 1 1 1 4 1 1 0 0 4 1 1 0 0 2 0 0 1 1 1 2 0 3 0 1
[649] 1 0 2 3 3 1 0 1 2 0 3 1 1 1 0 1 6 1 1 1 2 1 0 1
[673] 1 2 0 0 0 1 0 0 1 1 1 4 3 2 1 1 2 3 2 0 1 0 2 2
[697] 0 2 3 3 1 4 5 1 2 2 0 2 1 0 1 4 4 3 0 4 0 1 1 2
[721] 0 2 2 5 2 0 1 0 0 0 4 1 1 4 6 5 4 1 1 1 0 1 1 1
[745] 1 2 1 0 5 3 2 4 2 1 4 1 0 5 1 1 2 0 0 3 1 0 0 0
[769] 2 0 3 1 1 0 0 0 0 0 0 0 1 1 0 0 0 0 2 2 1 0 0 2
[793] 1 1 0 1 3 1 1 2 2 0 0 0 0 0 0 0 0 1 1 1 1 0 2 0
[817] 0 0 1 4 3 4 1 6 0 2 1 0 0 0 7 3 2 1 0 1 2 4 9 0
[841] 2 0 2 0 0 0 1 0 1 0 0 0 0 0 1 0 0 2 0 0 2 1 0 0
[865] 3 2 3 1 0 0 1 0 1 2 0 6 6 0 0 1 2 2 0 3 2 2 1 0
[889] 1 2 1 0 1 4 2 0 0 3 4 4 0 1 5 3 1 0 0 2 1 4 0 0
[913] 2 0 1 0 2 1 1 1 0 0 0 2 1 0 2 7 0 0 3 0 2 1 1 1
[937] 2 3 2 0 1 2 1 1 3 1 2 7 4 1 1 0 1 0 0 3 2 0 2 3
[961] 1 1 0 2 0 2 0 1 0 3 3 0 0 0 2 1 0 0 0 2 2 1 0 0
[985] 2 2 4 0 3 1 2 1 0 0 3 4 3 4 4 4 0 1 3 2 1 0 0 1
[1009] 0 0 1 1 3 1 0 2 2 0 2 3 0 0 0 0 0 3 0 2 1 1 0 3
[1033] 1 1 0 0 1 6 1 0 2 2 1 1 1 0 1 1 2 0 5 1 1 4 1 2
[1057] 2 1 2 2 1 1 2 0 6 0 1 1 3 0 7 1 2 0 0 0 0 1 3 0
[1081] 0 0 1 7 0 2 1 2 2 2 1 3 1 4 0 2 0 1 5 0 4 1 1 1
[1105] 5 1 7 2 2 1 2 0 1 1 3 1 2 2 0 1 3 6 4 1 1 0 0 1
[1129] 0 0 0 1 0 0 1 1 0 3 2 2 4 1 0 4 6 5 1 2 1 1 0 1
[1153] 4 1 1 3 1 0 0 1 2 0 3 2 1 0 3 1 1 1 1 0 1 2 1 0
[1177] 5 1 10 1 5 3 4 0 0 0 2 1 2 1 6 1 0 1 0 1 0 1 1 1
[1201] 2 0 0 2 0 1 0 6 2 2 1 1 0 1 0 6 4 2 0 3 0 5 0 1
[1225] 0 1 1 0 2 1 2 0 2 1 0 0 0 1 0 2 2 0 0 1 0 1 1 0
[1249] 0 1 0 3 0 0 1 2 0 1 1 0 0 3 0 5 4 1 0 1 2 2 0 0
[1273] 0 1 0 1 1 7 1 2 7 1 1 2 1 1 3 3 1 2 1 0 0 1 1 1
[1297] 1 2 0 1 0 0 0 0 0 0 4 0 0 0 0 0 2 1 1 4 1 0 0 0
[1321] 1 1 2 0 0 0 2 1 1 2 4 1 3 7 6 0 3 4 1 0 2 0 1 0
[1345] 0 0 3 4 1 1 3 4 0 0 1 0 2 1 1 3 5 1 1 5 0 4 1 2
[1369] 0 3 0 5 5 2 0 0 2 1 1 6 0 3 1 1 0 0 0 0 1 0 0 1
[1393] 1 2 0 3 0 2 1 2 0 0 0 1 1 1 1 0 0 0 0 1 5 1 0 0
[1417] 1 0 0 0 0 0 0 2 2 1 1 1 0 1 0 1 3 5 1 1 0 3 3 1
[1441] 1 8 0 0 0 2 1 1 1 1 0 0 0 0 1 0 0 0 0 4 0 7 1 4
[1465] 3 1 1 2 6 5 4 2 2 5 3 2 2 2 1 0 4 3 2 0 1 1 1 7
[1489] 2 2 1 2 4 1 2 4 0 12 7 0 1 1 2 3 4 1 8 6 0 2 4 1
[1513] 2 0 5 3 1 1 3 0 5 0 2 1 0 0 2 0 0 2 1 2 0 0 0 0
[1537] 0 1 0 7 0 2 2 0 0 3 0 1 1 1 0 1 1 0 0 0 0 0 0 1
[1561] 4 6 2 2 1 4 2 3 0 2 1 3 1 1 3 1 1 2 0 4 2 4 3 1
[1585] 2 2 3 4 4 0 5 1 0 1 1 0 1 0 0 0 0 0 1 1 5 0 1 1
[1609] 0 1 2 1 1 0 0 1 1 4 1 2 1 1 2 0 1 0 1 2 3 0 3 2
[1633] 4 0 0 2 1 2 0 1 0 0 2 6 6 0 0 3 2 2 0 0 1 1 2 1
[1657] 1 2 4 1 1 1 0 1 0 0 3 0 1 3 1 2 4 0 0 1 1 0 1 1
[1681] 0 0 2 1 3 3 5 0 1 6 1 2 0 3 1 0 3 1 1 0 1 3 2 1
[1705] 0 3 0 2 1 1 1 0 2 0 0 0 0 0 2 1 0 4 1 1 3 1 1 1
[1729] 1 2 0 0 1 0 0 3 4 2 2 3 1 2 0 3 1 2 1 0 2 1 1 0
[1753] 1 1 1 1 0 1 2 0 0 0 2 0 1 0 3 1 0 1 0 0 1 1 2 0
[1777] 2 4 4 0 1 2 1 1 3 1 1 2 0 0 0 0 1 0 0 0 2 1 3 0
[1801] 3 2 0 1 0 2 2 1 0 1 5 1 0 1 2 6 6 0 1 0 1 2 4 0
[1825] 0 0 1 1 1 1 5 0 1 0 0 2 2 1 3 0 5 4 1 3 3 0 1 2
[1849] 2 1 2 3 0 6 1 5 1 2 0 4 3 6 1 9 1 2 7 5 0 3 6 3
[1873] 1 1 1 3 0 3 0 2 0 1 2 4 1 1 0 1 2 0 4 0 2 0 2 1
[1897] 1 5 6 2 0 5 1 0 6 2 0 2 2 5 0 1 1 2 2 4 0 2 0 0
[1921] 4 1 0 0 0 1 3 1 1 0 0 0 1 3 0 1 0 0 0 1 0 0 1 1
[1945] 0 0 0 1 0 1 1 1 1 1 0 1 0 3 2 4 2 6 4 2 2 2 3 2
[1969] 0 1 1 1 1 0 0 3 1 0 3 2 1 10 3 9 4 7 1 5 1 3 3 6
[1993] 1 0 3 2 4 3 1 8 1 0 0 3 1 0 6 1 0 4 3 1 0 0 1 0
[2017] 1 2 0 1 1 2 3 0 2 6 1 5 3 1 4 0 0 3 1 4 2 3 1 6
[2041] 1 2 0 1 2 0 2 5 3 1 1 0 1 1 1 0 3 6 1 2 3 0 1 0
[2065] 2 2 1 7 3 2 1 3 2 7 2 0 0 9 4 7 1 2 0 3 0 8 8 0
[2089] 0 1 0 4 0 0 1 1 2 3 3 1 1 1 1 4 3 0 4 0 2 2 3 3
[2113] 0 0 1 0 1 5 5 1 0 1 1 2 1 1 1 0 1 1 1 2 0 3 1 1
[2137] 3 1 0 3 3 4 3 1 2 1 6 3 10 3 6 4 2 2 3 1 1 2 2 1
[2161] 2 1 2 3 2 2 1 0 1 1 0 1 3 3 0 0 0 2 3 3 0 3 1 0
[2185] 4 2 0 2 0 1 2 0 0 2 9 1 0 1 5 0 3 1 1 1 1 3 1 1
[2209] 3 2 6 2 1 0 0 0 1 0 1 0 0 1 0 0 0 6 1 0 0 1 0 0
[2233] 0 7 0 1 3 0 0 2 0 0 1 0 1 4 0 0 0 0 0 0 2 0 1 0
[2257] 2 1 2 1 3 3 0 2 0 0 2 1 3 1 2 0 0 0 3 2 2 0 2 1
[2281] 0 2 1 0 1 5 3 0 0 0 1 1 3 0 1 1 0 0 1 0 1 0 0 1
[2305] 1 0 0 3 0 4 4 0 0 1 0 0 2 1 2 1 3 1 3 1 1 3 1 0
[2329] 0 0 1 4 1 2 1 1 0 3 1 0 2 1 6 5 3 0 4 1 1 1 5 2
[2353] 1 3 1 0 5 4 1 0 7 4 0 5 5 4 2 0 0 1 1 1 0 0 1 1
[2377] 0 0 1 0 3 4 2 0 2 3 5 1 2 4 0 1 1 0 2 0 1 3 1 3
[2401] 1 1 2 1 1 0 5 1 1 0 2 4 2 1 1 0 0 2 0 7 0 4 1 3
[2425] 1 4 3 5 0 4 0 2 2 5 6 3 3 3 0 2 1 2 0 2 1 2 1 7
[2449] 4 9 1 1 1 3 2 4 1 1 2 0 3 1 1 4 3 3 1 0 1 2 1 4
[2473] 1 1 1 1 1 7 5 3 2 0 0 1 5 2 0 0 0 0 0 3 1 1 3 0
[2497] 2 1 4 2 1 8 4 2 0 0 2 9 0 3 1 1 2 1 2 2 0 2 1 1
[2521] 1 0 4 3 2 5 0 4 0 1 1 0 1 0 5 5 3 0 1 1 2 1 2 3
[2545] 0 6 0 2 4 1 3 3 4 2 3 1 1 4 1 2 1 2 4 0 6 2 3 2
[2569] 12 3 0 1 2 6 0 2 0 2 7 2 3 1 6 2 4 3 3 1 2 0 3 1
[2593] 1 0 1 2 1 2 2 2 1 1 3 2 5 1 6 2 5 0 0 0 0 0 0 0
[2617] 0 3 0 4 1 5 5 2 1 4 1 1 3 3 0 3 0 1 0 0 1 1 1 2
[2641] 2 1 5 2 3 1 4 5 1 2 4 0 3 0 6 4 0 1 2 3 3 0 1 0
[2665] 1 2 1 0 1 2 2 0 1 1 3 0 3 4 3 3 1 2 1 3 0 1 0 0
[2689] 2 5 1 0 1 1 2 0 0 0 0 0 0 2 2 1 1 0 5 4 1 3 0 2
[2713] 0 1 0 1 0 6 0 0 2 2 2 0 1 1 5 1 0 3 0 1 1 7 2 2
[2737] 3 1 2 3 2 0 0 0 1 1 0 0 1 1 1 1 2 4 1 1 1 0 1 4
[2761] 3 3 0 0 1 0 1 0 2 1 3 2 7 4 2 1 0 0 2 2 1 1 0 0
[2785] 0 2 0 5 2 0 1 0 0 1 0 0 0 0 1 2 2 0 2 1 0 0 0 0
[2809] 0 0 0 0 0 0 2 1 0 2 0 5 1 6 7 2 0 2 3 1 0 0 0 0
[2833] 0 1 0 0 2 1 0 2 5 0 1 2 1 1 2 0 0 0 2 0 1 2 2 0
[2857] 4 6 2 0 6 1 2 4 4 2 4 5 3 0 1 0 2 1 1 0 0 1 2 5
[2881] 1 1 2 0 3 0 3 0 1 0 0 2 2 0 1 1 2 0 3 1 0 0 1 0
[2905] 0 0 4 0 1 1 0 0
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