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This commit is contained in:
Matthew Gaughan 2023-11-10 15:38:49 -06:00
parent f8cb616273
commit cd988a3a5b
7 changed files with 209 additions and 6 deletions
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1
R/EDA.R
View File

@ -35,6 +35,7 @@ t.test(df1$up.fac.mean)
#95 percent confidence interval: #95 percent confidence interval:
# -0.1961401 -0.1647757 # -0.1961401 -0.1647757
df$mmt <- (df$contributors + (2 * df$collaborators)) / (df$contributors + df$collaborators) df$mmt <- (df$contributors + (2 * df$collaborators)) / (df$contributors + df$collaborators)
df$old_mmt <- (df$contributors) / (df$contributors + df$collaborators)
t.test(df$mmt) t.test(df$mmt)
# 95 percent confidence interval: # 95 percent confidence interval:
# 1.610638 1.684438 # 1.610638 1.684438

7
consolidate_data.py
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@ -3,8 +3,8 @@ import os
import csv import csv
import pandas import pandas
#directory = '/data/users/mgaughan/kkex_data_110823_3/' directory = '/data/users/mgaughan/kkex_data_111023/'
'''
path_to_file = 'power_data_110923_mmt.csv' path_to_file = 'power_data_110923_mmt.csv'
csv_1 = pandas.read_csv(path_to_file) csv_1 = pandas.read_csv(path_to_file)
@ -34,7 +34,7 @@ print(csv_1)
csv_1.to_csv('power_data_110923_mmt.csv') csv_1.to_csv('power_data_110923_mmt.csv')
''' '''
with open('/data/users/mgaughan/power_data_110923.csv', "w") as csv_file: with open('/data/users/mgaughan/power_data_111023.csv', "w") as csv_file:
csv_header = ['repo', 'age', 'contributors', 'collaborators', 'milestones'] csv_header = ['repo', 'age', 'contributors', 'collaborators', 'milestones']
writer = csv.writer(csv_file, delimiter=',') writer = csv.writer(csv_file, delimiter=',')
writer.writerow(csv_header) writer.writerow(csv_header)
@ -51,4 +51,3 @@ with open('/data/users/mgaughan/power_data_110923.csv', "w") as csv_file:
new_row.append(data['perceval_obj']['collaborators']) new_row.append(data['perceval_obj']['collaborators'])
new_row.append(data['gha_obj']['milestone_count']) new_row.append(data['gha_obj']['milestone_count'])
writer.writerow(new_row) writer.writerow(new_row)
'''

4
main.py
View File

@ -23,7 +23,7 @@ import gh_gsql_req as ghs
def main(): def main():
# we should discuss whether we're using the 93 day window that seems to be widely used or if we want a longer window # we should discuss whether we're using the 93 day window that seems to be widely used or if we want a longer window
early_cutoff = dt.datetime(2013,11, 8) early_cutoff = dt.datetime(2008,2, 8)
print("Earliest date examined: " + str(early_cutoff)) print("Earliest date examined: " + str(early_cutoff))
#largest_object = {} #largest_object = {}
#manifest = '../kaylea_dissertation/lifecycle/package_metadata/jupyter-notebook_manifest.yaml' #manifest = '../kaylea_dissertation/lifecycle/package_metadata/jupyter-notebook_manifest.yaml'
@ -78,7 +78,7 @@ def get_everything(manifest_path, early_cutoff):
largest_object[repo_path]['ghs_obj'] = ghs.main(vcs_path, early_cutoff) largest_object[repo_path]['ghs_obj'] = ghs.main(vcs_path, early_cutoff)
#print(ghs_obj["time_cleaned_comm"]) #print(ghs_obj["time_cleaned_comm"])
repo_uri_list = repo_path.split('/') repo_uri_list = repo_path.split('/')
with open('/data/users/mgaughan/kkex_data_110823_3/' + repo_uri_list[-2] + '_' + repo_uri_list[-1] + '_result.json', 'w') as data_path: with open('/data/users/mgaughan/kkex_data_111023/' + repo_uri_list[-2] + '_' + repo_uri_list[-1] + '_result.json', 'w') as data_path:
json.dump(largest_object[repo_path], data_path) json.dump(largest_object[repo_path], data_path)
except yaml.YAMLError as err: except yaml.YAMLError as err:

203
power_data_111023_mmt.csv Normal file
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@ -0,0 +1,203 @@
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3 2 arandr_arandr.git_result.json 5334.45178240741 82 8 0 1.08888888888889 0.911111111111111
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8 7 SpamExperts_pyzor_result.json 5279.20960648148 6 19 1 1.76 0.24
9 8 etingof_pysnmp_result.json 4346.81112268519 17 11 0 1.39285714285714 0.607142857142857
10 9 httplib2_httplib2_result.json 5422.78184027778 50 36 0 1.41860465116279 0.581395348837209
11 10 OSGeo_grass_result.json 5675.03436342593 79 60 5 1.43165467625899 0.568345323741007
12 11 cogent3_cogent3_result.json 3974.24590277778 7 87 5 1.92553191489362 0.074468085106383
13 12 debian_debian-goodies.git_result.json 3986.26633101852 10 9 0 1.47368421052632 0.526315789473684
14 13 openstack_python-saharaclient_result.json 3823.89311342593 10 118 0 1.921875 0.078125
15 14 ytdl-org_youtube-dl_result.json 5542.99671296296 597 455 5 1.43250950570342 0.567490494296578
16 15 openstack-archive_python-tuskarclient_result.json 2281.21077546296 4 37 0 1.90243902439024 0.0975609756097561
17 16 jelmer_lintian-brush.git_result.json 1873.14923611111 4 16 0 1.8 0.2
18 17 Supervisor_supervisor_result.json 5710.6949537037 47 143 0 1.75263157894737 0.247368421052632
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20 19 tools_dh-python.git_result.json 3783.80024305556 37 19 0 1.33928571428571 0.660714285714286
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22 21 openstack_tempest_result.json 4445.06381944444 133 977 0 1.88018018018018 0.11981981981982
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24 23 openSUSE_osc_result.json 5742.81569444444 38 185 6 1.82959641255605 0.170403587443946
25 24 openstack_tosca-parser_result.json 3424.41236111111 22 110 0 1.83333333333333 0.166666666666667
26 25 openstack_glance_store_result.json 3526.84253472222 26 164 0 1.86315789473684 0.136842105263158
27 26 ahupp_python-magic_result.json 4939.93570601852 16 47 0 1.74603174603175 0.253968253968254
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30 29 irmen_Pyro3_result.json 2168.83753472222 0 4 0 2 0
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32 31 EGI-Federation_bdii_result.json 5185.3821875 8 9 0 1.52941176470588 0.470588235294118
33 32 chinese-team_galternatives.git_result.json 2509.34570601852 3 7 0 1.7 0.3
34 33 TurboGears_crank_result.json 3630.08614583333 0 4 0 2 0
35 34 Nicotine-Plus_nicotine-plus_result.json 5746.67703703704 84 41 0 1.328 0.672
36 35 kassoulet_soundconverter_result.json 5626.47232638889 7 36 0 1.83720930232558 0.162790697674419
37 36 ojuba-org_monajat_result.json 2971.75086805556 1 14 0 1.93333333333333 0.0666666666666667
38 37 openstack_nose-html-output_result.json 3267.2818287037 1 10 0 1.90909090909091 0.0909090909090909
39 38 mvo5_unattended-upgrades_result.json 4983.50472222222 29 52 0 1.64197530864198 0.358024691358025
40 39 applications_debomatic.git_result.json 2079.82677083333 0 9 0 2 0
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44 43 ncqgm_gnumed_result.json 5731.20027777778 1 12 0 1.92307692307692 0.0769230769230769
45 44 bup_bup_result.json 5131.7605787037 105 16 0 1.13223140495868 0.867768595041322
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47 46 fweimer_debsecan.git_result.json 3979.07826388889 4 1 0 1.2 0.8
48 47 ncarrier_discus_result.json 1119.01925925926 0 4 0 2 0
49 48 insanum_gcalcli_result.json 4200.55261574074 20 41 3 1.67213114754098 0.327868852459016
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51 50 nuxeo_FunkLoad_result.json 2956.6462962963 0 41 0 2 0
52 51 georgesk_scolasync_result.json 887.116238425926 0 2 0 2 0
53 52 kiorky_SOAPpy_result.json 3057.36087962963 1 11 0 1.91666666666667 0.0833333333333333
54 53 pytroll_mpop_result.json 2899.47983796296 0 27 2 2 0
55 54 python-babel_babel_result.json 5733.77023148148 71 93 2 1.56707317073171 0.432926829268293
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