# Cluster experiment 2

## Clustering experiment #1

========================

## Plan:

• Derive a vector for left and righthand alignment variance for each contiguous block of text in each article (newspaper has pages, which hold articles, which consist of blocks).
• Create a k=8 kmeans clustering using data from all newspapers from 1745 to 1756.
• Visualise the clustering
• Given the set of found poems, see into which clusters the poems get assigned.
• Report on the spread of these and if a cluster is found which just has poems, report on all of the references within that cluster.
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In [7]:

%matplotlib inline

# Load this library to make the graphs interactive for smaller samples
#import mpld3
#mpld3.enable_notebook()

# Turns out, multiple interactive scattergraphs with 170,000+ points each is a bit too much for a browser
# Who knew?!

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In [1]:

from clustering_capitals import create_cluster_dataset, NewspaperArchive
DBFILE = "1745-55.db"
n = NewspaperArchive(textareas="/datastore/burneytextareas")
a = n.get_areas(newspaper="B0574REMEMBRA", year = "1748", month = "03", day = "05")
pg1a1 = a['0001']['001'][0]

print(len(pg1a1['lines']), len(pg1a1['line_widths'][:len(pg1a1['lines'])-1]))
print(pg1a1['line_widths'][:len(pg1a1['lines'])-1][-1])

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35 34
85

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In [2]:

# Get/create the dataset:

ds = create_cluster_dataset(n, daterange = [1745, 1755], dbfile = DBFILE) # , refresh = True)

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What do these 'vectors' look like? What do the columns refer to?

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In [3]:

data, transform, id_list = ds
print(data)

print(transform.get_feature_names())

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(0, 0)	95.7142857143
(0, 1)	0.288040949279
(0, 2)	619.0
(0, 3)	-1012.875
(0, 4)	0.625
(0, 6)	50889.984375
(0, 8)	240.375
(0, 9)	58688.109375
(1, 0)	103.583333333
(1, 1)	1.11418511066
(1, 2)	2215.0
(1, 3)	-1502.92
(1, 4)	0.48
(1, 6)	132023.4304
(1, 8)	125.64
(1, 9)	131.7536
(2, 0)	106.5
(2, 1)	51.25
(2, 2)	615.0
(2, 3)	-1554.14285714
(2, 4)	0.142857142857
(2, 6)	559.836734694
(2, 8)	8.14285714286
(2, 9)	11.5510204082
(3, 0)	225.571428571
:	:
(254859, 1)	0.0190523969205
(254859, 2)	5051.0
(254859, 3)	-61.9523809524
(254859, 4)	0.511904761905
(254859, 5)	0.178571428571
(254859, 6)	64127.1070011
(254859, 8)	236.488095238
(254859, 9)	8172.23582766
(254860, 0)	58.9220779221
(254860, 1)	0.0188308475295
(254860, 2)	5328.0
(254860, 3)	-243.705128205
(254860, 4)	0.628205128205
(254860, 5)	0.0512820512821
(254860, 6)	32272.780572
(254860, 8)	156.961538462
(254860, 9)	12922.8745891
(254861, 0)	1563.0
(254861, 1)	1.183539911e-05
(254861, 2)	154.0
(254861, 3)	345.0
(254861, 4)	0.5
(254861, 6)	555927.5
(254861, 8)	983.0
(254861, 9)	119520.5
['ave_lsp', 'density', 'ltcount', 'redge_x2ave', 'st_caps', 'st_nums', 'x1_var1', 'x1_var2', 'x1ave_ledge', 'x2_var1', 'x2_var2']

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## Going from a vector back to the metadata reference:

By keeping an 'id_list', we can look up the identifier for any vector in the list from the database we've made for this clustering attemp. This lets us look up what the reference for that is, and where we can find it:

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In [4]:

from clustering_capitals import ClusterDB
db = ClusterDB(DBFILE)
item = dict(db.vecidtoitem(id_list[1]))
print(item)
print(transform.inverse_transform(data[1]))

from burney_data import BurneyDB
bdb = BurneyDB("burney.db")

titlemd = bdb.get_title_row(titleAbbreviation=item['newspaper'])
entry = bdb.get_entry_row(year=item['year'], month=item['month'], day=item['day'], title_id= titlemd['id'])
issue = bdb.get_issue_row(id=entry['issue_id'])

print(titlemd)
print(issue)
print(entry)

vector = db.vector(id_list[1])

print(dict(vector))

mask = {'ave_lsp': 1.0, 'density':1.0, 'ltcount':0.0, 'redge_x2ave':0.0, 'st_caps':1.0,
'st_nums':1.0, 'x1_var1':1.0, 'x1_var2':0.0, 'x1ave_ledge':0.0, 'x2_var1':1.0, 'x2_var2':0.0}

print(m_vec)

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{'month': '06', 'article': '001', 'vector_id': 2, 'page': '0001', 'day': '27', 'id': 2, 'newspaper': 'B1308WHITEHAL', 'year': '1747', 'block_number': '1'}
[{'density': 1.114185110663984, 'st_caps': 0.47999999999999998, 'redge_x2ave': -1502.9200000000001, 'x1ave_ledge': 125.63999999999999, 'ave_lsp': 103.58333333333333, 'ltcount': 2215.0, 'x2_var1': 131.75360000000003, 'x1_var1': 132023.43040000004}]
{'titleContinues': '', 'title': 'WHITEHALL JUNE 27 1747 THIS AFTERNOON A MESSENGER ARRIVED', 'placeOfPublication': 'LONDON', 'titleAbbreviation': 'B1308WHITEHAL', 'earliest_issue': None, 'datesOfPublication': '1747', 'id': 1160, 'typeOfPublication': 'NEWSPAPER', 'last_issue': None, 'titleContinuedBy': ''}
{'issueNumber': None, 'title_id': 1160, 'volumeNumber': None, 'ESTC': 'N69936', 'id': 185047, 'printedDate': 'JUNE 27 1747', 'normalisedDate': '1747-06-27', 'pageCount': '7'}
{'month': '06', 'filepath': '/cygdrive/w/APEX/B1308WHITEHAL/1747/06/27/service', 'issue_id': 185047, 'number_of_articles': 4, 'title_id': 1160, 'day': '27', 'id': 185047, 'year': '1747'}
{'st_caps': 0.48, 'x1ave_ledge': 125.63999999999999, 'id': 2, 'x1_var1': 132023.43040000004, 'density': 1.114185110663984, 'redge_x2ave': -1502.92, 'ave_lsp': 103.58333333333333, 'x1_var2': 0.0, 'x2_var2': 0.0, 'ltcount': 2215, 'x2_var1': 131.75360000000003, 'st_nums': 0.0}
(0, 0)	1.0
(0, 1)	1.0
(0, 2)	0.0
(0, 3)	0.0
(0, 4)	1.0
(0, 5)	1.0
(0, 6)	1.0
(0, 7)	0.0
(0, 8)	0.0
(0, 9)	1.0
(0, 10)	0.0

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In [5]:

import numpy as np
from matplotlib import pyplot as plt

# Mask off leaving just the left and right variance columns
npdata = data.toarray()
# remember: ['ave_lsp', 'density', 'ltcount', 'redge_x2ave', 'st_caps',
#            'st_nums', 'x1_var1', 'x1_var2', 'x1ave_ledge', 'x2_var1', 'x2_var2']

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## x1 vs x2 varience?

What is the rough shape of this data? The varience of x1 and x2 are equivalent to the left and right alignment of the text varies in a given block of text.

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In [ ]:

plt.scatter(marray[:,0], marray[:,1], marker = ".", s = [2] * len(marray), linewidths=[0.0] * len(marray))
plt.show()

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# Attempting K-Means

What sort of clustering algorithm to employ is actually a good question. K-means can give fairly meaningless responses if the data is of a given sort. Generally, it can be useful but cannot be used blindly.

Given the data above, it might be a good start however.

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In [ ]:

# Build the clustering and show the individual clusters as best we can:
from sklearn.cluster import KMeans

# remember: ['ave_lsp', 'density', 'ltcount', 'redge_x2ave', 'st_caps',
#            'st_nums', 'x1_var1', 'x1_var2', 'x1ave_ledge', 'x2_var1', 'x2_var2']

# so, we should cluster on ave_lsp, density, st_caps, st_nums, x1_var1, x2_var1:

estimator = KMeans(n_clusters=12)

clusters = estimator.fit(cl_marray)
labels = estimator.labels_

def isol(label, labels):
for l in labels.astype(np.float):
if l != label:
yield "#444444"
else:
yield "#FF3355"

def highlight(label, labels):
for l in labels.astype(np.float):
if l != label:
yield 2
else:
yield 4

# plot graphs of ave_lsp vs x2_var1?
for label in set(labels):
print("Cluster: {0} - x1_var1 vs x2_var2".format(label))
plt.scatter(cl_marray[:,4], cl_marray[:,5], c=list(isol(label, labels)), marker = ".",
s = list(highlight(label, labels)), linewidths=[0.0] * len(marray))
plt.show()

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Cluster: 0 - x1_var1 vs x2_var2

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It looks like cluster 4 and perhaps cluster 11 are ones that should contain more complete poems than the rest if our assumptions are correct. Clump with very low x1 (lefthand edge) variance, but high x2 (right hand side).

What do the other aspects of 4 and 11 look like?

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In [9]:

# plot graphs of ave_lsp vs x2_var1?
for label in [4,11]:
print("Cluster: {0} - ave_lp vs density".format(label))
plt.scatter(cl_marray[labels == label,0], cl_marray[labels == label,1], marker = ".", linewidths=1)
plt.show()
print("Cluster: {0} - st_caps vs st_num".format(label))
plt.scatter(cl_marray[labels == label,2], cl_marray[labels == label,3], marker = ".", linewidths=1)
plt.show()
print("Cluster: {0} - x1_var1 vs x2_var2".format(label))
plt.scatter(cl_marray[labels == label,4], cl_marray[labels == label,5], marker = ".", linewidths=1)
plt.show()

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Cluster: 4 - ave_lp vs density

Cluster: 4 - st_caps vs st_num

Cluster: 4 - x1_var1 vs x2_var2

Cluster: 11 - ave_lp vs density

Cluster: 11 - st_caps vs st_num

Cluster: 11 - x1_var1 vs x2_var2

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Lets export this as a list of references to explore further - "clusterX.csv"

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In [11]:

import csv

def get_info(item_id):
record = dict(db.vecidtoitem(item_id))
vect = dict(db.vector(item_id))
titlemd = bdb.get_title_row(titleAbbreviation=record['newspaper'])
entry = bdb.get_entry_row(year=record['year'], month=record['month'], day=record['day'], title_id= titlemd['id'])
issue = bdb.get_issue_row(id=entry['issue_id'])
record.update(titlemd)
record.update(entry)
record.update(issue)
record.update(vect)
return record

for label in set(labels):
print("Saving label {0}".format(label))
with open("exp2_cluster{0}.csv".format(label), "w") as cfn:
fields = ["title", "titleAbbreviation", "year", "month", "day",
"issueNumber", "printedDate", "page", "article", "block_number", "filepath", "st_caps", "st_nums", "x1_var1", "x2_var1", "ltcount"]
csvdoc = csv.DictWriter(cfn, fieldnames = fields)
csvdoc.writerow(dict([(x,x) for x in fields]))
count = 0
for idx, vlabel in enumerate(list(labels)):
if idx % 1000 == 0:
print("Tackling line {0} - saved {1} lines for this label".format(idx, count))
if vlabel == label:
record = get_info(id_list[idx])
csvdoc.writerow(dict([(x,record[x]) for x in fields]))
count += 1

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Saving label 0
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Saving label 2
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Saving label 3
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Saving label 4
Tackling line 0 - saved 0 lines for this label
Tackling line 1000 - saved 6 lines for this label
Tackling line 2000 - saved 11 lines for this label
Tackling line 3000 - saved 14 lines for this label
Tackling line 4000 - saved 14 lines for this label
Tackling line 5000 - saved 14 lines for this label
Tackling line 6000 - saved 14 lines for this label
Tackling line 7000 - saved 14 lines for this label
Tackling line 8000 - saved 16 lines for this label
Tackling line 9000 - saved 20 lines for this label
Tackling line 10000 - saved 20 lines for this label
Tackling line 11000 - saved 20 lines for this label
Tackling line 12000 - saved 22 lines for this label
Tackling line 13000 - saved 22 lines for this label
Tackling line 14000 - saved 22 lines for this label
Tackling line 15000 - saved 23 lines for this label
Tackling line 16000 - saved 23 lines for this label
Tackling line 17000 - saved 23 lines for this label
Tackling line 18000 - saved 25 lines for this label
Tackling line 19000 - saved 25 lines for this label
Tackling line 20000 - saved 26 lines for this label
Tackling line 21000 - saved 26 lines for this label
Tackling line 22000 - saved 26 lines for this label
Tackling line 23000 - saved 26 lines for this label
Tackling line 24000 - saved 26 lines for this label
Tackling line 25000 - saved 26 lines for this label
Tackling line 26000 - saved 26 lines for this label
Tackling line 27000 - saved 26 lines for this label
Tackling line 28000 - saved 27 lines for this label
Tackling line 29000 - saved 28 lines for this label
Tackling line 30000 - saved 30 lines for this label
Tackling line 31000 - saved 33 lines for this label
Tackling line 32000 - saved 37 lines for this label
Tackling line 33000 - saved 43 lines for this label
Tackling line 34000 - saved 54 lines for this label
Tackling line 35000 - saved 66 lines for this label
Tackling line 36000 - saved 70 lines for this label
Tackling line 37000 - saved 76 lines for this label
Tackling line 38000 - saved 76 lines for this label
Tackling line 39000 - saved 76 lines for this label
Tackling line 40000 - saved 76 lines for this label
Tackling line 41000 - saved 76 lines for this label
Tackling line 42000 - saved 76 lines for this label
Tackling line 43000 - saved 76 lines for this label
Tackling line 44000 - saved 79 lines for this label
Tackling line 45000 - saved 80 lines for this label
Tackling line 46000 - saved 81 lines for this label
Tackling line 47000 - saved 81 lines for this label
Tackling line 48000 - saved 81 lines for this label
Tackling line 49000 - saved 82 lines for this label
Tackling line 50000 - saved 82 lines for this label
Tackling line 51000 - saved 82 lines for this label
Tackling line 52000 - saved 82 lines for this label
Tackling line 53000 - saved 82 lines for this label
Tackling line 54000 - saved 82 lines for this label
Tackling line 55000 - saved 82 lines for this label
Tackling line 56000 - saved 82 lines for this label
Tackling line 57000 - saved 83 lines for this label
Tackling line 58000 - saved 83 lines for this label
Tackling line 59000 - saved 83 lines for this label
Tackling line 60000 - saved 83 lines for this label
Tackling line 61000 - saved 83 lines for this label
Tackling line 62000 - saved 83 lines for this label
Tackling line 63000 - saved 84 lines for this label
Tackling line 64000 - saved 89 lines for this label
Tackling line 65000 - saved 95 lines for this label
Saving label 5
Tackling line 0 - saved 0 lines for this label
Tackling line 1000 - saved 614 lines for this label
Tackling line 2000 - saved 1256 lines for this label
Tackling line 3000 - saved 1934 lines for this label
Tackling line 4000 - saved 2748 lines for this label
Tackling line 5000 - saved 3571 lines for this label
Tackling line 6000 - saved 4300 lines for this label
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Tackling line 8000 - saved 5745 lines for this label
Tackling line 9000 - saved 6341 lines for this label
Tackling line 10000 - saved 6978 lines for this label
Tackling line 11000 - saved 7602 lines for this label
Tackling line 12000 - saved 8198 lines for this label
Tackling line 13000 - saved 8755 lines for this label
Tackling line 14000 - saved 9385 lines for this label
Tackling line 15000 - saved 10090 lines for this label
Tackling line 16000 - saved 10857 lines for this label
Tackling line 17000 - saved 11540 lines for this label
Tackling line 18000 - saved 12252 lines for this label
Tackling line 19000 - saved 12921 lines for this label
Tackling line 20000 - saved 13640 lines for this label
Tackling line 21000 - saved 14403 lines for this label
Tackling line 22000 - saved 15163 lines for this label
Tackling line 23000 - saved 15938 lines for this label
Tackling line 24000 - saved 16725 lines for this label
Tackling line 25000 - saved 17567 lines for this label
Tackling line 26000 - saved 18382 lines for this label
Tackling line 27000 - saved 19153 lines for this label
Tackling line 28000 - saved 19850 lines for this label
Tackling line 29000 - saved 20505 lines for this label
Tackling line 30000 - saved 21222 lines for this label
Tackling line 31000 - saved 21827 lines for this label
Tackling line 32000 - saved 22142 lines for this label
Tackling line 33000 - saved 22487 lines for this label
Tackling line 34000 - saved 22882 lines for this label
Tackling line 35000 - saved 23365 lines for this label
Tackling line 36000 - saved 23943 lines for this label
Tackling line 37000 - saved 24525 lines for this label
Tackling line 38000 - saved 25314 lines for this label
Tackling line 39000 - saved 26117 lines for this label
Tackling line 40000 - saved 26811 lines for this label
Tackling line 41000 - saved 27482 lines for this label
Tackling line 42000 - saved 28195 lines for this label
Tackling line 43000 - saved 28896 lines for this label
Tackling line 44000 - saved 29294 lines for this label
Tackling line 45000 - saved 29841 lines for this label
Tackling line 46000 - saved 30517 lines for this label
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Tackling line 48000 - saved 31638 lines for this label
Tackling line 49000 - saved 32141 lines for this label
Tackling line 50000 - saved 32649 lines for this label
Tackling line 51000 - saved 33301 lines for this label
Tackling line 52000 - saved 34023 lines for this label
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Tackling line 54000 - saved 35504 lines for this label
Tackling line 55000 - saved 36148 lines for this label
Tackling line 56000 - saved 36842 lines for this label
Tackling line 57000 - saved 37615 lines for this label
Tackling line 58000 - saved 38372 lines for this label
Tackling line 59000 - saved 39056 lines for this label
Tackling line 60000 - saved 39737 lines for this label
Tackling line 61000 - saved 40233 lines for this label
Tackling line 62000 - saved 40803 lines for this label
Tackling line 63000 - saved 41376 lines for this label
Tackling line 64000 - saved 41889 lines for this label
Tackling line 65000 - saved 42394 lines for this label
Saving label 6
Tackling line 0 - saved 0 lines for this label
Tackling line 1000 - saved 1 lines for this label
Tackling line 2000 - saved 2 lines for this label
Tackling line 3000 - saved 3 lines for this label
Tackling line 4000 - saved 3 lines for this label
Tackling line 5000 - saved 3 lines for this label
Tackling line 6000 - saved 4 lines for this label
Tackling line 7000 - saved 4 lines for this label
Tackling line 8000 - saved 4 lines for this label
Tackling line 9000 - saved 7 lines for this label
Tackling line 10000 - saved 20 lines for this label
Tackling line 11000 - saved 25 lines for this label
Tackling line 12000 - saved 40 lines for this label
Tackling line 13000 - saved 42 lines for this label
Tackling line 14000 - saved 42 lines for this label
Tackling line 15000 - saved 43 lines for this label
Tackling line 16000 - saved 46 lines for this label
Tackling line 17000 - saved 46 lines for this label
Tackling line 18000 - saved 60 lines for this label
Tackling line 19000 - saved 60 lines for this label
Tackling line 20000 - saved 63 lines for this label
Tackling line 21000 - saved 65 lines for this label
Tackling line 22000 - saved 66 lines for this label
Tackling line 23000 - saved 66 lines for this label
Tackling line 24000 - saved 66 lines for this label
Tackling line 25000 - saved 66 lines for this label
Tackling line 26000 - saved 68 lines for this label
Tackling line 27000 - saved 68 lines for this label
Tackling line 28000 - saved 69 lines for this label
Tackling line 29000 - saved 69 lines for this label
Tackling line 30000 - saved 70 lines for this label
Tackling line 31000 - saved 71 lines for this label
Tackling line 32000 - saved 72 lines for this label
Tackling line 33000 - saved 72 lines for this label
Tackling line 34000 - saved 75 lines for this label
Tackling line 35000 - saved 87 lines for this label
Tackling line 36000 - saved 87 lines for this label
Tackling line 37000 - saved 89 lines for this label
Tackling line 38000 - saved 90 lines for this label
Tackling line 39000 - saved 90 lines for this label
Tackling line 40000 - saved 91 lines for this label
Tackling line 41000 - saved 97 lines for this label
Tackling line 42000 - saved 106 lines for this label
Tackling line 43000 - saved 113 lines for this label
Tackling line 44000 - saved 113 lines for this label
Tackling line 45000 - saved 113 lines for this label
Tackling line 46000 - saved 113 lines for this label
Tackling line 47000 - saved 115 lines for this label
Tackling line 48000 - saved 117 lines for this label
Tackling line 49000 - saved 120 lines for this label
Tackling line 50000 - saved 120 lines for this label
Tackling line 51000 - saved 121 lines for this label
Tackling line 52000 - saved 122 lines for this label
Tackling line 53000 - saved 124 lines for this label
Tackling line 54000 - saved 124 lines for this label
Tackling line 55000 - saved 125 lines for this label
Tackling line 56000 - saved 125 lines for this label
Tackling line 57000 - saved 125 lines for this label
Tackling line 58000 - saved 125 lines for this label
Tackling line 59000 - saved 125 lines for this label
Tackling line 60000 - saved 125 lines for this label
Tackling line 61000 - saved 126 lines for this label
Tackling line 62000 - saved 127 lines for this label
Tackling line 63000 - saved 128 lines for this label
Tackling line 64000 - saved 130 lines for this label
Tackling line 65000 - saved 134 lines for this label
Saving label 7
Tackling line 0 - saved 0 lines for this label
Tackling line 1000 - saved 27 lines for this label
Tackling line 2000 - saved 43 lines for this label
Tackling line 3000 - saved 51 lines for this label
Tackling line 4000 - saved 56 lines for this label
Tackling line 5000 - saved 64 lines for this label
Tackling line 6000 - saved 73 lines for this label
Tackling line 7000 - saved 76 lines for this label
Tackling line 8000 - saved 82 lines for this label
Tackling line 9000 - saved 109 lines for this label
Tackling line 10000 - saved 132 lines for this label
Tackling line 11000 - saved 156 lines for this label
Tackling line 12000 - saved 193 lines for this label
Tackling line 13000 - saved 250 lines for this label
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Tackling line 15000 - saved 330 lines for this label
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Tackling line 17000 - saved 402 lines for this label
Tackling line 18000 - saved 423 lines for this label
Tackling line 19000 - saved 433 lines for this label
Tackling line 20000 - saved 444 lines for this label
Tackling line 21000 - saved 459 lines for this label
Tackling line 22000 - saved 460 lines for this label
Tackling line 23000 - saved 462 lines for this label
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Tackling line 31000 - saved 532 lines for this label
Tackling line 32000 - saved 580 lines for this label
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Tackling line 36000 - saved 717 lines for this label
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Tackling line 38000 - saved 747 lines for this label
Tackling line 39000 - saved 753 lines for this label
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Tackling line 41000 - saved 776 lines for this label
Tackling line 42000 - saved 790 lines for this label
Tackling line 43000 - saved 809 lines for this label
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Tackling line 46000 - saved 889 lines for this label
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Tackling line 48000 - saved 922 lines for this label
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Tackling line 50000 - saved 988 lines for this label
Tackling line 51000 - saved 1005 lines for this label
Tackling line 52000 - saved 1017 lines for this label
Tackling line 53000 - saved 1023 lines for this label
Tackling line 54000 - saved 1042 lines for this label
Tackling line 55000 - saved 1078 lines for this label
Tackling line 56000 - saved 1114 lines for this label
Tackling line 57000 - saved 1126 lines for this label
Tackling line 58000 - saved 1147 lines for this label
Tackling line 59000 - saved 1175 lines for this label
Tackling line 60000 - saved 1200 lines for this label
Tackling line 61000 - saved 1219 lines for this label
Tackling line 62000 - saved 1233 lines for this label
Tackling line 63000 - saved 1252 lines for this label
Tackling line 64000 - saved 1266 lines for this label
Tackling line 65000 - saved 1289 lines for this label
Saving label 8
Tackling line 0 - saved 0 lines for this label
Tackling line 1000 - saved 227 lines for this label
Tackling line 2000 - saved 439 lines for this label
Tackling line 3000 - saved 630 lines for this label
Tackling line 4000 - saved 751 lines for this label
Tackling line 5000 - saved 859 lines for this label
Tackling line 6000 - saved 1031 lines for this label
Tackling line 7000 - saved 1207 lines for this label
Tackling line 8000 - saved 1401 lines for this label
Tackling line 9000 - saved 1621 lines for this label
Tackling line 10000 - saved 1812 lines for this label
Tackling line 11000 - saved 2026 lines for this label
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Tackling line 13000 - saved 2439 lines for this label
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Tackling line 15000 - saved 2797 lines for this label
Tackling line 16000 - saved 2915 lines for this label
Tackling line 17000 - saved 3083 lines for this label
Tackling line 18000 - saved 3263 lines for this label
Tackling line 19000 - saved 3464 lines for this label
Tackling line 20000 - saved 3637 lines for this label
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Tackling line 22000 - saved 3942 lines for this label
Tackling line 23000 - saved 4100 lines for this label
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Tackling line 25000 - saved 4349 lines for this label
Tackling line 26000 - saved 4448 lines for this label
Tackling line 27000 - saved 4608 lines for this label
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Tackling line 30000 - saved 5220 lines for this label
Tackling line 31000 - saved 5444 lines for this label
Tackling line 32000 - saved 5746 lines for this label
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Tackling line 52000 - saved 10010 lines for this label
Tackling line 53000 - saved 10106 lines for this label
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Tackling line 62000 - saved 11780 lines for this label
Tackling line 63000 - saved 12047 lines for this label
Tackling line 64000 - saved 12373 lines for this label
Tackling line 65000 - saved 12663 lines for this label
Saving label 9
Tackling line 0 - saved 0 lines for this label
Tackling line 1000 - saved 3 lines for this label
Tackling line 2000 - saved 6 lines for this label
Tackling line 3000 - saved 9 lines for this label
Tackling line 4000 - saved 10 lines for this label
Tackling line 5000 - saved 10 lines for this label
Tackling line 6000 - saved 10 lines for this label
Tackling line 7000 - saved 11 lines for this label
Tackling line 8000 - saved 13 lines for this label
Tackling line 9000 - saved 19 lines for this label
Tackling line 10000 - saved 29 lines for this label
Tackling line 11000 - saved 46 lines for this label
Tackling line 12000 - saved 56 lines for this label
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Tackling line 14000 - saved 80 lines for this label
Tackling line 15000 - saved 89 lines for this label
Tackling line 16000 - saved 93 lines for this label
Tackling line 17000 - saved 104 lines for this label
Tackling line 18000 - saved 109 lines for this label
Tackling line 19000 - saved 121 lines for this label
Tackling line 20000 - saved 125 lines for this label
Tackling line 21000 - saved 128 lines for this label
Tackling line 22000 - saved 133 lines for this label
Tackling line 23000 - saved 139 lines for this label
Tackling line 24000 - saved 144 lines for this label
Tackling line 25000 - saved 145 lines for this label
Tackling line 26000 - saved 147 lines for this label
Tackling line 27000 - saved 152 lines for this label
Tackling line 28000 - saved 159 lines for this label
Tackling line 29000 - saved 165 lines for this label
Tackling line 30000 - saved 167 lines for this label
Tackling line 31000 - saved 175 lines for this label
Tackling line 32000 - saved 182 lines for this label
Tackling line 33000 - saved 184 lines for this label
Tackling line 34000 - saved 187 lines for this label
Tackling line 35000 - saved 196 lines for this label
Tackling line 36000 - saved 198 lines for this label
Tackling line 37000 - saved 201 lines for this label
Tackling line 38000 - saved 210 lines for this label
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Tackling line 40000 - saved 233 lines for this label
Tackling line 41000 - saved 238 lines for this label
Tackling line 42000 - saved 243 lines for this label
Tackling line 43000 - saved 245 lines for this label
Tackling line 44000 - saved 252 lines for this label
Tackling line 45000 - saved 256 lines for this label
Tackling line 46000 - saved 260 lines for this label
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Tackling line 48000 - saved 280 lines for this label
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Tackling line 50000 - saved 297 lines for this label
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Tackling line 53000 - saved 314 lines for this label
Tackling line 54000 - saved 314 lines for this label
Tackling line 55000 - saved 316 lines for this label
Tackling line 56000 - saved 318 lines for this label
Tackling line 57000 - saved 320 lines for this label
Tackling line 58000 - saved 322 lines for this label
Tackling line 59000 - saved 323 lines for this label
Tackling line 60000 - saved 324 lines for this label
Tackling line 61000 - saved 324 lines for this label
Tackling line 62000 - saved 324 lines for this label
Tackling line 63000 - saved 325 lines for this label
Tackling line 64000 - saved 327 lines for this label
Tackling line 65000 - saved 332 lines for this label
Saving label 10
Tackling line 0 - saved 0 lines for this label
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Tackling line 2000 - saved 15 lines for this label
Tackling line 3000 - saved 22 lines for this label
Tackling line 4000 - saved 22 lines for this label
Tackling line 5000 - saved 32 lines for this label
Tackling line 6000 - saved 34 lines for this label
Tackling line 7000 - saved 40 lines for this label
Tackling line 8000 - saved 48 lines for this label
Tackling line 9000 - saved 52 lines for this label
Tackling line 10000 - saved 56 lines for this label
Tackling line 11000 - saved 65 lines for this label
Tackling line 12000 - saved 75 lines for this label
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Tackling line 14000 - saved 90 lines for this label
Tackling line 15000 - saved 95 lines for this label
Tackling line 16000 - saved 110 lines for this label
Tackling line 17000 - saved 117 lines for this label
Tackling line 18000 - saved 128 lines for this label
Tackling line 19000 - saved 140 lines for this label
Tackling line 20000 - saved 154 lines for this label
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Tackling line 22000 - saved 179 lines for this label
Tackling line 23000 - saved 188 lines for this label
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Tackling line 25000 - saved 197 lines for this label
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Tackling line 27000 - saved 208 lines for this label
Tackling line 28000 - saved 212 lines for this label
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Tackling line 30000 - saved 229 lines for this label
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Tackling line 32000 - saved 239 lines for this label
Tackling line 33000 - saved 246 lines for this label
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Tackling line 42000 - saved 308 lines for this label
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Tackling line 51000 - saved 381 lines for this label
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Tackling line 56000 - saved 406 lines for this label
Tackling line 57000 - saved 406 lines for this label
Tackling line 58000 - saved 408 lines for this label
Tackling line 59000 - saved 409 lines for this label
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Tackling line 63000 - saved 455 lines for this label
Tackling line 64000 - saved 460 lines for this label
Tackling line 65000 - saved 469 lines for this label
Saving label 11
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Tackling line 2000 - saved 6 lines for this label
Tackling line 3000 - saved 8 lines for this label
Tackling line 4000 - saved 8 lines for this label
Tackling line 5000 - saved 8 lines for this label
Tackling line 6000 - saved 8 lines for this label
Tackling line 7000 - saved 8 lines for this label
Tackling line 8000 - saved 13 lines for this label
Tackling line 9000 - saved 13 lines for this label
Tackling line 10000 - saved 15 lines for this label
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Tackling line 15000 - saved 34 lines for this label
Tackling line 16000 - saved 35 lines for this label
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Tackling line 22000 - saved 51 lines for this label
Tackling line 23000 - saved 52 lines for this label
Tackling line 24000 - saved 52 lines for this label
Tackling line 25000 - saved 52 lines for this label
Tackling line 26000 - saved 52 lines for this label
Tackling line 27000 - saved 52 lines for this label
Tackling line 28000 - saved 53 lines for this label
Tackling line 29000 - saved 54 lines for this label
Tackling line 30000 - saved 54 lines for this label
Tackling line 31000 - saved 54 lines for this label
Tackling line 32000 - saved 54 lines for this label
Tackling line 33000 - saved 57 lines for this label
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Tackling line 35000 - saved 64 lines for this label
Tackling line 36000 - saved 66 lines for this label
Tackling line 37000 - saved 67 lines for this label
Tackling line 38000 - saved 67 lines for this label
Tackling line 39000 - saved 67 lines for this label
Tackling line 40000 - saved 67 lines for this label
Tackling line 41000 - saved 68 lines for this label
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Tackling line 43000 - saved 69 lines for this label
Tackling line 44000 - saved 70 lines for this label
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Tackling line 52000 - saved 94 lines for this label
Tackling line 53000 - saved 94 lines for this label
Tackling line 54000 - saved 94 lines for this label
Tackling line 55000 - saved 94 lines for this label
Tackling line 56000 - saved 94 lines for this label
Tackling line 57000 - saved 94 lines for this label
Tackling line 58000 - saved 94 lines for this label
Tackling line 59000 - saved 95 lines for this label
Tackling line 60000 - saved 97 lines for this label
Tackling line 61000 - saved 97 lines for this label
Tackling line 62000 - saved 97 lines for this label
Tackling line 63000 - saved 99 lines for this label
Tackling line 64000 - saved 106 lines for this label
Tackling line 65000 - saved 107 lines for this label

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