hexsha
string | size
int64 | ext
string | lang
string | max_stars_repo_path
string | max_stars_repo_name
string | max_stars_repo_head_hexsha
string | max_stars_repo_licenses
list | max_stars_count
int64 | max_stars_repo_stars_event_min_datetime
string | max_stars_repo_stars_event_max_datetime
string | max_issues_repo_path
string | max_issues_repo_name
string | max_issues_repo_head_hexsha
string | max_issues_repo_licenses
list | max_issues_count
int64 | max_issues_repo_issues_event_min_datetime
string | max_issues_repo_issues_event_max_datetime
string | max_forks_repo_path
string | max_forks_repo_name
string | max_forks_repo_head_hexsha
string | max_forks_repo_licenses
list | max_forks_count
int64 | max_forks_repo_forks_event_min_datetime
string | max_forks_repo_forks_event_max_datetime
string | content
string | avg_line_length
float64 | max_line_length
int64 | alphanum_fraction
float64 | qsc_code_num_words_quality_signal
int64 | qsc_code_num_chars_quality_signal
float64 | qsc_code_mean_word_length_quality_signal
float64 | qsc_code_frac_words_unique_quality_signal
float64 | qsc_code_frac_chars_top_2grams_quality_signal
float64 | qsc_code_frac_chars_top_3grams_quality_signal
float64 | qsc_code_frac_chars_top_4grams_quality_signal
float64 | qsc_code_frac_chars_dupe_5grams_quality_signal
float64 | qsc_code_frac_chars_dupe_6grams_quality_signal
float64 | qsc_code_frac_chars_dupe_7grams_quality_signal
float64 | qsc_code_frac_chars_dupe_8grams_quality_signal
float64 | qsc_code_frac_chars_dupe_9grams_quality_signal
float64 | qsc_code_frac_chars_dupe_10grams_quality_signal
float64 | qsc_code_frac_chars_replacement_symbols_quality_signal
float64 | qsc_code_frac_chars_digital_quality_signal
float64 | qsc_code_frac_chars_whitespace_quality_signal
float64 | qsc_code_size_file_byte_quality_signal
float64 | qsc_code_num_lines_quality_signal
float64 | qsc_code_num_chars_line_max_quality_signal
float64 | qsc_code_num_chars_line_mean_quality_signal
float64 | qsc_code_frac_chars_alphabet_quality_signal
float64 | qsc_code_frac_chars_comments_quality_signal
float64 | qsc_code_cate_xml_start_quality_signal
float64 | qsc_code_frac_lines_dupe_lines_quality_signal
float64 | qsc_code_cate_autogen_quality_signal
float64 | qsc_code_frac_lines_long_string_quality_signal
float64 | qsc_code_frac_chars_string_length_quality_signal
float64 | qsc_code_frac_chars_long_word_length_quality_signal
float64 | qsc_code_frac_lines_string_concat_quality_signal
float64 | qsc_code_cate_encoded_data_quality_signal
float64 | qsc_code_frac_chars_hex_words_quality_signal
float64 | qsc_code_frac_lines_prompt_comments_quality_signal
float64 | qsc_code_frac_lines_assert_quality_signal
float64 | qsc_codepython_cate_ast_quality_signal
float64 | qsc_codepython_frac_lines_func_ratio_quality_signal
float64 | qsc_codepython_cate_var_zero_quality_signal
bool | qsc_codepython_frac_lines_pass_quality_signal
float64 | qsc_codepython_frac_lines_import_quality_signal
float64 | qsc_codepython_frac_lines_simplefunc_quality_signal
float64 | qsc_codepython_score_lines_no_logic_quality_signal
float64 | qsc_codepython_frac_lines_print_quality_signal
float64 | qsc_code_num_words
int64 | qsc_code_num_chars
int64 | qsc_code_mean_word_length
int64 | qsc_code_frac_words_unique
null | qsc_code_frac_chars_top_2grams
int64 | qsc_code_frac_chars_top_3grams
int64 | qsc_code_frac_chars_top_4grams
int64 | qsc_code_frac_chars_dupe_5grams
int64 | qsc_code_frac_chars_dupe_6grams
int64 | qsc_code_frac_chars_dupe_7grams
int64 | qsc_code_frac_chars_dupe_8grams
int64 | qsc_code_frac_chars_dupe_9grams
int64 | qsc_code_frac_chars_dupe_10grams
int64 | qsc_code_frac_chars_replacement_symbols
int64 | qsc_code_frac_chars_digital
int64 | qsc_code_frac_chars_whitespace
int64 | qsc_code_size_file_byte
int64 | qsc_code_num_lines
int64 | qsc_code_num_chars_line_max
int64 | qsc_code_num_chars_line_mean
int64 | qsc_code_frac_chars_alphabet
int64 | qsc_code_frac_chars_comments
int64 | qsc_code_cate_xml_start
int64 | qsc_code_frac_lines_dupe_lines
int64 | qsc_code_cate_autogen
int64 | qsc_code_frac_lines_long_string
int64 | qsc_code_frac_chars_string_length
int64 | qsc_code_frac_chars_long_word_length
int64 | qsc_code_frac_lines_string_concat
null | qsc_code_cate_encoded_data
int64 | qsc_code_frac_chars_hex_words
int64 | qsc_code_frac_lines_prompt_comments
int64 | qsc_code_frac_lines_assert
int64 | qsc_codepython_cate_ast
int64 | qsc_codepython_frac_lines_func_ratio
int64 | qsc_codepython_cate_var_zero
int64 | qsc_codepython_frac_lines_pass
int64 | qsc_codepython_frac_lines_import
int64 | qsc_codepython_frac_lines_simplefunc
int64 | qsc_codepython_score_lines_no_logic
int64 | qsc_codepython_frac_lines_print
int64 | effective
string | hits
int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
a9d45eb05c9359b65567439a4e9669f107f2efde
| 19,605
|
py
|
Python
|
firedpy/create_readme.py
|
earthlab/firedpy
|
7576fcf72b029421703873b95a8994152d63ea4e
|
[
"MIT"
] | 14
|
2019-10-21T04:32:08.000Z
|
2022-03-10T19:24:41.000Z
|
firedpy/create_readme.py
|
earthlab/firedpy
|
7576fcf72b029421703873b95a8994152d63ea4e
|
[
"MIT"
] | 63
|
2020-05-20T20:41:56.000Z
|
2022-03-30T19:14:47.000Z
|
firedpy/create_readme.py
|
earthlab/firedpy
|
7576fcf72b029421703873b95a8994152d63ea4e
|
[
"MIT"
] | 10
|
2019-10-11T20:22:55.000Z
|
2022-02-23T12:40:14.000Z
|
import csv
import datetime as dt
import re
import os
import pandas as pd
def makeReadMe(proj_dir, tilename, file_base, input, first_date, last_date, ecoregion_type, ecoregion_level, landcover_type, daily, spatial_param, temporal_param, shapefile, shp_type):
read_path = os.path.join(proj_dir, 'outputs',file_base+"_README.txt")
last_date = str(last_date)
first_date = str(first_date)
file_name = file_base+"_to"+last_date
last_year = dt.datetime(year=int(last_date[:4]), month=1, day=1)
last_date = last_year + dt.timedelta(int(last_date[4:]))
first_year = dt.datetime(year=int(first_date[:4]), month=1, day=1)
first_date = first_year + dt.timedelta(int(first_date[4:]))
first_event = first_date.strftime("%B %Y")
last_event = last_date.strftime("%B %Y")
if input == 3:
name = tilename
else:
tilename = tilename.upper()
name = tilename.split("_")
with open(read_path, "w") as text_file:
print("-------------------\n", file=text_file)
print("ABSTRACT\n", file=text_file)
print("-------------------\n", file=text_file)
if input == 3:
print("This is event-level polygons for the fire event delineation (FIRED) product for MODIS grid tiles", *name , "from {} to {}. It is derived from the MODIS MCD64A1 burned area product (see https://lpdaac.usgs.gov/products/mcd64a1v006/ for more details). The MCD64A1 is a monthly raster grid of estimated burned dates. Firedpy (www.github.com/earthlab/firedpy) is an algorithm that converts these rasters into events by stacking the entire time series into a spatial-temporal data cube, then uses an algorithm to assign event identification numbers to pixels that fit into the same 3-dimensional spatial temporal window. This particular dataset was created using a spatial parameter of {} pixels and {} days. If daily polygons are included, the event identification numbers are the same for both files, but the event-level product has only single polygons for each entire event, while the daily product has separate polygons for each date per event. See the associated paper for more details on the methods and more:\n".format(first_event, last_event, spatial_param, temporal_param), file=text_file)
else:
print("This is event-level polygons for the fire event delineation (FIRED) product for", *name , "from {} to {}. It is derived from the MODIS MCD64A1 burned area product (see https://lpdaac.usgs.gov/products/mcd64a1v006/ for more details). The MCD64A1 is a monthly raster grid of estimated burned dates. Firedpy (www.github.com/earthlab/firedpy) is an algorithm that converts these rasters into events by stacking the entire time series into a spatial-temporal data cube, then uses an algorithm to assign event identification numbers to pixels that fit into the same 3-dimensional spatial temporal window. This particular dataset was created using a spatial parameter of {} pixels and {} days. If daily polygons are included, the event identification numbers are the same for both files, but the event-level product has only single polygons for each entire event, while the daily product has separate polygons for each date per event. See the associated paper for more details on the methods and more:\n".format(first_event, last_event, spatial_param, temporal_param), file=text_file)
print("Balch, J.K.; St. Denis, L.A.; Mahood, A.L.; Mietkiewicz, N.P.; Williams, T.M.; McGlinchy, J.; Cook, M.C. FIRED (Fire Events Delineation): An Open, Flexible Algorithm and Database of US Fire Events Derived from the MODIS Burned Area Product (2001–2019). Remote Sens. 2020, 12, 3498. https://doi.org/10.3390/rs12213498 \n", file=text_file)
print("""-------------------\n
GENERAL INFORMATION\n
-------------------\n
1. Title of Dataset: FIRED """, *name, """\n
2. Authors: Jennifer K. Balch, Lise A. St. Denis, Adam L. Mahood, Nathan P. Mietkiewicz, Travis Williams, Joe McGlinchy, Maxwell C. Cook, Estelle J. Lindrooth.\n
3. Contact information: jennifer.balch@colorado.edu; adam.mahood@colorado.edu\n
4. Date of data collection:{} - {}\n
--------------------------\n
SHARING/ACCESS INFORMATION\n
--------------------------\n
1. Licenses/restrictions placed on the data: MIT\n
2. Links to publications that cite or use the data: TBD\n
3. Links to other publicly accessible locations of the data: None\n
4. Recommended citation for the data: \n
Balch, J.K.; St. Denis, L.A.; Mahood, A.L.; Mietkiewicz, N.P.; Williams, T.M.; McGlinchy, J.; Cook, M.C. FIRED (Fire Events Delineation): An Open, Flexible Algorithm and Database of US Fire Events Derived from the MODIS Burned Area Product (2001–2019). Remote Sens. 2020, 12, 3498. https://doi.org/10.3390/rs12213498\n """.format(first_event, last_event), file = text_file)
print("-------------------\n", file=text_file)
print("DATA & FILE OVERVIEW\n", file=text_file)
print("-------------------\n", file=text_file)
print("1. File List: \n", file=text_file)
if daily == 'yes' and shapefile:
print(" 1. Tables: ", file=text_file)
print(" A. {}_events.csv\n".format(file_name), file=text_file)
print(" B. {}_daily.csv\n".format(file_name), file=text_file)
print(" i. This is each fired event split into daily polygons. Each polygon will have an id for the event (which may encompass multiple polygons), and a unique date.\n", file=text_file)
print(" 2. Shapefiles: \n ", file=text_file)
if shp_type == 'gpkg':
print(" A. {}_events.gpkg\n".format(file_name, last_date), file=text_file)
print(" B. {}_daily.gpkg\n".format(file_name), file=text_file)
print(" i. This is each fired event split into daily polygons. Each polygon will have an id for the event (which may encompass multiple polygons), and a unique date.\n", file=text_file)
if shp_type == 'shp':
print(" A. {}_events.shp\n".format(file_name), file=text_file)
print(" B. {}_daily.shp\n".format(file_name), file=text_file)
print(" i. This is each fired event split into daily polygons. Each polygon will have an id for the event (which may encompass multiple polygons), and a unique date.\n", file=text_file)
if shp_type == 'both':
print(" A. {}_events.shp\n".format(file_name), file=text_file)
print(" B. {}_daily.shp\n".format(file_name), file=text_file)
print(" i. This is each fired event split into daily polygons. Each polygon will have an id for the event (which may encompass multiple polygons), and a unique date.\n", file=text_file)
print(" C. {}_events.gpkg\n".format(file_name), file=text_file)
print(" D. {}_daily.gpkg\n".format(file_name), file=text_file)
print(" i. This is each fired event split into daily polygons. Each polygon will have an id for the event (which may encompass multiple polygons), and a unique date.\n", file=text_file)
elif daily == 'yes' and shapefile == False:
print(" 1. Tables:\n ", file=text_file)
print(" A. {}_events.csv\n".format(file_name), file=text_file)
print(" B. {}_daily.csv\n".format(file_name), file=text_file)
print(" i. This is each fired event split into daily polygons. Each polygon will have an id for the event (which may encompass multiple polygons), and a unique date.\n", file=text_file)
elif daily == 'no' and shapefile:
print(" 1. Table:\n ", file=text_file)
print(" A. {}_events.csv\n".format(file_name), file=text_file)
print(" 2. Shapefile: \n", file=text_file)
if shp_type == 'gpkg':
print(" A. {}_events.gpkg\n".format(file_name), file=text_file)
if shp_type == 'shp':
print(" A. {}_events.shp\n".format(file_name), file=text_file)
if shp_type == 'both':
print(" A. {}_events.shp\n".format(file_name), file=text_file)
print(" B. {}_events.gpkg\n".format(file_name), file=text_file)
else:
print(" 1. Table:\n ", file=text_file)
print(" A. {}_events.csv\n".format(file_name), file=text_file)
print("-------------------\n", file=text_file)
print("METHODOLOGICAL INFORMATION\n", file=text_file)
print("-------------------\n", file=text_file)
print(" 1. Spatial window: {} \n".format(spatial_param), file=text_file)
print(" 2. Temporal window: {} \n".format(temporal_param), file=text_file)
print("See Balch et al 2020 for complete methods. DOI: https://doi.org/10.3390/rs12213498\n", file=text_file)
print("-------------------\n", file=text_file)
if shapefile:
if shp_type == 'gpkg':
print("DATA-SPECIFIC INFORMATION FOR: {}_events.csv and {}_events.gpkg".format(file_name, file_name), file=text_file)
if shp_type == 'shp':
print("DATA-SPECIFIC INFORMATION FOR: {}_events.csv and {}_events.shp".format(file_name, file_name), file=text_file)
if shp_type == 'both':
print("DATA-SPECIFIC INFORMATION FOR: {}_events.csv, {}_events.gpkg, {}_events.shp".format(file_name, file_name,file_name), file=text_file)
else:
print("DATA-SPECIFIC INFORMATION FOR: {}_events.csv".format(file_name), file=text_file)
print("-------------------\n", file=text_file)
filepath = os.path.join(proj_dir, 'outputs', 'tables',
file_name+"_events.csv")
reader = pd.read_csv(filepath)
row_count = len(reader)
print("1. Number of variables: 24\n", file=text_file)
print("2. Number of cases/rows: {}\n".format(row_count), file=text_file)
print("3. Projection information (proj4 string): +proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.181 +b=6371007.181 +units=m +no_defs\n", file = text_file)
print("3.1. The projection is the native projection from the MODIS MCD64A1 burned area product from which this dataset is derived. The MCD64A1 product is a raster grid with a resolution of 463 meters. More info at https://lpdaac.usgs.gov/products/mcd64a1v006/ \n", file = text_file)
print("""4. Variable List: \n
A. Name: id
\n
i. Description: Unique identifier of the fire event.
\n
B. Name: ig_date
\n
i. Description: The earliest date contained in the event
\n
C. Name: ig_day
\n
i. Description: The day of the year of the earliest date contained in the event
\n
D. Name: ig_month
\n
i. Description: The month of the earliest date contained in the event
\n
E. Name: ig_year
\n
i. Description: The year of the earliest date contained in the event.
\n
F. Name: last_date
\n
i. Description: The latest date contained in the event
\n
G. Name: event_day
\n
i. Description: Days since ignition date + 1 (ignition date is day 1)
\n
H. Name: pixels
\n
i. Description: Total number of pixels burned that day.
\n
I. Name: tot_px
\n
i. Description: Total pixels burned for the entire event.
\n
J. Name: tot_ar_km2
\n
i. Description: Area burned in square kilometers for the entire event.
\n
K. Name: fsr_px_dy
\n
i. Description: Total pixels burned for the entire event divided by the duration of the fire event.
\n
L. Name: fsr_km2_dy
\n
i. Description: Total kilometers burned for the entire event divided by the duration of the fire event.
\n
M. Name: mx_grw_px
\n
i. Description: maximum growth in pixels
\n
N. Name: mn_grw_px
\n
i. Description: minimum growth in pixels
\n
O. Name: mu_grw_px
\n
i. Description: mean growth in pixels
\n
P. Name: mx_grw_km2
\n
i. Description: maximum growth in square kilometers
\n
Q. Name: mn_grw_km2
\n
i. Description: minimum growth in square kilometers
\n
R. Name: mu_grw_km2
\n
i. Description: mean growth in square kilometers
\n
S. Name: mx_grw_dte
\n
i. Description: date of maximum
\n
T. Name: lc_code
\n
i. Description: Numeric code for the landcover type extracted from the MODIS landcover product for the year preceding the fire. \n
U. Name: lc_mode
\n
i. Description: Numeric code for the landcover type extracted from the MODIS landcover product for the year preceding the fire.
\n
V. Name: lc_name
\n
i. Description: Character string of the landcover type from the year before the fire.
\n
W. Name: lc_desc
\n
i. Description: Character string description of the landcover type from the year before the fire.
\n
X. Name: lc_type
\n
i. Description: Which landcover classification type was used from the MCD12Q1 product? Default is IGBP global vegetation classification scheme
\n
Y. Name: eco_mode
\n
i. Description: Modal ecoregion code
\n
Z. Name: eco_type
\n
i. Description: Which type and level of ecoregion classification was used (North america EPA (levels 1-3) vs World Wildlife Federation)
\n
AA. Name: eco_name
\n
i. Description: Character string of the ecoregion type where the event occurred.
\n
BB. Name: ig_utm_x
\n
i. Description: estimated ignition x coordinate
\n
CC. Name: ig_utm_y
\n
i. Description: estimated ignition y coordinate
\n
DD. Name: tot_perim
\n
i. Description: Total perimeter of the fire event. \n""", file = text_file)
if daily == 'yes':
print("-------------------\n", file=text_file)
if shapefile:
if shp_type == 'gpkg':
print("DATA-SPECIFIC INFORMATION FOR: {}_daily.csv and {}_daily.gpkg".format(file_name, file_name), file=text_file)
if shp_type == 'shp':
print("DATA-SPECIFIC INFORMATION FOR: {}_daily.csv and {}_daily.shp".format(file_name, file_name), file=text_file)
if shp_type == 'both':
print("DATA-SPECIFIC INFORMATION FOR: {}_daily.csv, {}_daily.gpkg, {}_daily.shp".format(file_name, file_name,file_name), file=text_file)
else:
print("DATA-SPECIFIC INFORMATION FOR: {}_daily.csv".format(file_name), file=text_file)
print("-------------------\n", file=text_file)
filepath = os.path.join(proj_dir, 'outputs', 'tables',
file_name+"_daily.csv")
reader = pd.read_csv(filepath)
row_count = len(reader)
print("1. Number of variables: 29\n", file=text_file)
print("2. Number of cases/rows: {}\n".format(row_count), file=text_file)
print("3. Projection information (proj4 string): +proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.181 +b=6371007.181 +units=m +no_defs\n", file = text_file)
print("3.1. The projection is the native projection from the MODIS MCD64A1 burned area product from which this dataset is derived. The MCD64A1 product is a raster grid with a resolution of 463 meters. More info at https://lpdaac.usgs.gov/products/mcd64a1v006/ \n", file = text_file)
print("""4. Variable list: \n
EE. Name: id \n
i. Description: Unique identifier of the fire event. \n
FF. Name: did
\n
i. Description: unique identifier of the day within the event
\n
GG. Name: date
\n
i. Description: date that the area burned
\n
HH. Name: ig_date
\n
i. Description: The earliest date contained in the event
\n
II. Name: ig_day
\n
i. Description: The day of the year of the earliest date contained in the event
\n
JJ. Name: ig_month
\n
i. Description: The month of the earliest date contained in the event
\n
KK. Name: ig_year
\n
i. Description: The year of the earliest date contained in the event.
\n
LL. Name: last_date
\n
i. Description: The latest date contained in the event
\n
MM. Name: event_day
\n
i. Description: Days since ignition date + 1 (ignition date is day 1)
\n
NN. Name: pixels
\n
i. Description: Total number of pixels burned that day.
\n
OO. Name: tot_px
\n
i. Description: Total pixels burned for the entire event.
\n
PP. Name: dy_ar_km2 - \n
i. Description: Area burned in square kilometers that day.
\n
QQ. Name: tot_ar_km2
\n
i. Description: Area burned in square kilometers for the entire event. \n
RR. Name: fsr_px_dy
\n
i. Description: Total pixels burned for the entire event divided by the duration of the fire event.
\n
SS. Name: fsr_km2_dy
\n
i. Description: Total kilometers burned for the entire event divided by the duration of the fire event.
\n
TT. Name: mx_grw_px
\n
i. Description: Maximum daily fire growth per event in pixels
\n
UU. Name: mn_grw_px
\n
i. Description: Minimum daily fire growth per event in pixels
\n
VV. Name: mu_grw_px
\n
i. Description: Mean daily fire growth per event in pixels
\n
WW. Name: mx_grw_km2
\n
i. Description: Maximum daily fire growth per event in square kilometers
\n
XX. Name: mn_grw_km2
\n
i. Description: Minimum daily fire growth per event in square kilometers
\n
YY. Name: mu_grw_km2
\n
i. Description: Mean daily fire growth per event in square kilometers
\n
ZZ. Name: mx_grw_dte
\n
i. Description: Date of maximum fire growth
\n
AAA. Name: lc_code
\n
i. Description: Numeric code for the landcover type extracted from the MODIS landcover product for the year preceding the fire.
\n
BBB. Name: lc_mode
\n
i. Description: Numeric code for the landcover type extracted from the MODIS landcover product for the year preceding the fire.
\n
CCC. Name: lc_name
\n
i. Description: Character string of the landcover type from the year before the fire.
\n
DDD. Name: lc_desc
\n
i. Description: Character string description of the landcover type from the year before the fire.
\n
EEE. Name: lc_type
\n
i. Description: The landcover classification scheme used
\n
FFF. Name: eco_mode
\n
i. Description: modal ecoregion type
\n
GGG. Name: eco_type
\n
i. Description: modal ecoregion type
\n
HHH. Name: eco_name
\n
i. Description: Character string of the landcover type from the year before the fire.
\n
III. Name: ig_utm_x
\n
i. Description: estimated ignition x coordinate
\n
JJJ. Name: ig_utm_y
\n
i. Description: estimated ignition y coordinate
""", file = text_file)
| 68.072917
| 1,114
| 0.628513
| 2,837
| 19,605
| 4.237575
| 0.135354
| 0.046581
| 0.068874
| 0.063633
| 0.85094
| 0.836383
| 0.81459
| 0.802196
| 0.769672
| 0.749875
| 0
| 0.017685
| 0.264524
| 19,605
| 287
| 1,115
| 68.310105
| 0.815937
| 0
| 0
| 0.392308
| 0
| 0.103846
| 0.720632
| 0.022902
| 0
| 0
| 0
| 0
| 0
| 1
| 0.003846
| false
| 0.023077
| 0.019231
| 0
| 0.023077
| 0.265385
| 0
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| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
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| 1
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| null | 0
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| 0
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| 0
| 0
| 0
| 0
|
0
| 8
|
a9ec950c55b192b6ce1277176c70bc172e59f1fc
| 895
|
py
|
Python
|
background.py
|
robijn112/opseilen
|
f17a95cd5166a0ae4ca0929081f4f0311e6b9f82
|
[
"MIT"
] | 2
|
2017-01-17T12:53:41.000Z
|
2017-02-02T08:59:10.000Z
|
background.py
|
robijn112/opseilen
|
f17a95cd5166a0ae4ca0929081f4f0311e6b9f82
|
[
"MIT"
] | null | null | null |
background.py
|
robijn112/opseilen
|
f17a95cd5166a0ae4ca0929081f4f0311e6b9f82
|
[
"MIT"
] | null | null | null |
import pygame
import math
import sys
import tower
class frontlayer1:
def __init__(self, x1, y1, x2, y2):
self.x1 = x1
self.y1 = y1
self.x2 = x2
self.y2 = y2
def update(self):
pass
def draw(self, screen):
pygame.draw.rect(screen, tower.white, (int(self.x1), int(self.y1), int(self.x2), int(self.y2)))
class frontlayer2:
def __init__(self, x1, y1, x2, y2):
self.x1 = x1
self.y1 = y1
self.x2 = x2
self.y2 = y2
def update(self):
pass
def draw(self, screen):
pygame.draw.rect(screen, tower.white, (int(self.x1), int(self.y1), int(self.x2), int(self.y2)))
class frontlayer3:
def __init__(self, x1, y1, x2, y2):
self.x1 = x1
self.y1 = y1
self.x2 = x2
self.y2 = y2
def update(self):
pass
def draw(self, screen):
pygame.draw.rect(screen, tower.white, (int(self.x1), int(self.y1), int(self.x2), int(self.y2)))
| 20.813953
| 98
| 0.620112
| 149
| 895
| 3.644295
| 0.154362
| 0.154696
| 0.060773
| 0.071823
| 0.85267
| 0.85267
| 0.85267
| 0.85267
| 0.85267
| 0.85267
| 0
| 0.073276
| 0.222346
| 895
| 42
| 99
| 21.309524
| 0.706897
| 0
| 0
| 0.794118
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.264706
| false
| 0.088235
| 0.117647
| 0
| 0.470588
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 9
|
e72b626a364c28a41fe7aa2526924f83f39d279f
| 5,589
|
py
|
Python
|
tuta/model/pretrains.py
|
PseudoLabs-Demo/TUTA_table_understanding
|
d0f3fe2f15c56a5ea9f593b210296f170fc74558
|
[
"MIT"
] | 36
|
2021-06-15T01:04:27.000Z
|
2022-03-19T16:36:54.000Z
|
tuta/model/pretrains.py
|
PseudoLabs-Demo/TUTA_table_understanding
|
d0f3fe2f15c56a5ea9f593b210296f170fc74558
|
[
"MIT"
] | 6
|
2021-09-03T11:29:36.000Z
|
2021-12-15T11:33:57.000Z
|
tuta/model/pretrains.py
|
PseudoLabs-Demo/TUTA_table_understanding
|
d0f3fe2f15c56a5ea9f593b210296f170fc74558
|
[
"MIT"
] | 8
|
2021-11-03T04:32:36.000Z
|
2022-02-02T13:43:47.000Z
|
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
""" Aggregated Model Frameworks for Pre-Training. """
import torch.nn as nn
import model.heads as hds
import model.backbones as bbs
# %% Pre-training Models
class TUTAbase(nn.Module):
def __init__(self, config):
super(TUTAbase, self).__init__()
self.backbone = bbs.BbForBase(config)
self.mlm_head = hds.MlmHead(config)
self.clc_head = hds.ClcHead(config)
self.tcr_head = hds.TcrHead(config)
def forward(self,
token_id, num_mag, num_pre, num_top, num_low,
token_order, pos_top, pos_left, format_vec, indicator,
mlm_label, clc_label, tcr_label
):
encoded_states = self.backbone(
token_id=token_id,
num_mag=num_mag,
num_pre=num_pre,
num_top=num_top,
num_low=num_low,
token_order=token_order,
pos_top=pos_top,
pos_left=pos_left,
format_vec=format_vec,
indicator=indicator)
mlm_triple = self.mlm_head(encoded_states, mlm_label)
sep_triple, tok_triple = self.clc_head(encoded_states, indicator, clc_label)
tcr_triple = self.tcr_head(encoded_states, indicator, tcr_label)
return mlm_triple, sep_triple, tok_triple, tcr_triple
class TUTA(nn.Module):
def __init__(self, config):
super(TUTA, self).__init__()
self.backbone = bbs.BACKBONES[config.target](config)
self.mlm_head = hds.MlmHead(config)
self.clc_head = hds.ClcHead(config)
self.tcr_head = hds.TcrHead(config)
def forward(self,
token_id, num_mag, num_pre, num_top, num_low,
token_order, pos_row, pos_col, pos_top, pos_left,
format_vec, indicator, mlm_label, clc_label, tcr_label
):
encoded_states = self.backbone(
token_id=token_id,
num_mag=num_mag,
num_pre=num_pre,
num_top=num_top,
num_low=num_low,
token_order=token_order,
pos_row=pos_row,
pos_col=pos_col,
pos_top=pos_top,
pos_left=pos_left,
format_vec=format_vec,
indicator=indicator)
mlm_triple = self.mlm_head(encoded_states, mlm_label)
sep_triple, tok_triple = self.clc_head(encoded_states, indicator, clc_label)
tcr_triple = self.tcr_head(encoded_states, indicator, tcr_label)
return mlm_triple, sep_triple, tok_triple, tcr_triple
MODELS = {
"tuta": TUTA,
"tuta_explicit": TUTA,
"base": TUTAbase
}
# %% Dowsntream Models
class TUTAforCTC(nn.Module):
def __init__(self, config):
super(TUTAforCTC, self).__init__()
self.backbone = bbs.BBS[config.target](config)
self.ctc_head = hds.CtcHead(config)
def forward(self,
token_id, num_mag, num_pre, num_top, num_low,
token_order, pos_top, pos_left, format_vec, indicator, ctc_label
):
encoded_states = self.backbone(
token_id, num_mag, num_pre, num_top, num_low,
token_order, pos_top, pos_left, format_vec, indicator
)
sep_triple, tok_triple = self.ctc_head(encoded_states, indicator, ctc_label)
return sep_triple, tok_triple
class TUTAbaseforCTC(nn.Module):
def __init__(self, config):
super(nn.Module, self).__init__()
self.backbone = bbs.BBS[config.target](config)
self.ctc_head = hds.CtcHead(config)
def forward(self,
token_id, num_mag, num_pre, num_top, num_low,
token_order, pos_row, pos_col, pos_top, pos_left, format_vec,
indicator, ctc_label
):
encoded_states = self.backbone(
token_id, num_mag, num_pre, num_top, num_low,
token_order, pos_row, pos_col, pos_top, pos_left, format_vec, indicator
)
sep_triple, tok_triple = self.ctc_head(encoded_states, indicator, ctc_label)
return sep_triple, tok_triple
class TUTAForTTC(nn.Module):
def __init__(self, config):
super(TutaForTTC, self).__init__()
self.backbone = bbs.BACKBONES[config.target](config)
self.ttc_head = hds.TtcHead(config)
def forward(
self,
token_id, num_mag, num_pre, num_top, num_low,
token_order, pos_row, pos_col, pos_top, pos_left,
format_vec, indicator, ttc_label
):
encoded_states = self.backbone(
token_id, num_mag, num_pre, num_top, num_low,
token_order, pos_row, pos_col, pos_top, pos_left,
format_vec, indicator
)
loss, prediction = self.ttc_head(encoded_states, ttc_label)
return loss, prediction, ttc_label
class TUTAbaseforTTC(nn.Module):
def __init__(self, config):
super(TUTAbaseforTTC, self).__init__()
self.backbone = bbs.BACKBONES[config.target](config)
self.ttc_head = hds.TtcHead(config)
def forward(
self,
token_id, num_mag, num_pre, num_top, num_low,
token_order, pos_top, pos_left,
format_vec, indicator, ttc_label
):
encoded_states = self.backbone(
token_id, num_mag, num_pre, num_top, num_low,
token_order, pos_top, pos_left,
format_vec, indicator
)
loss, prediction = self.ttc_head(encoded_states, ttc_label)
return loss, prediction, ttc_label
| 34.5
| 86
| 0.616926
| 712
| 5,589
| 4.462079
| 0.106742
| 0.065471
| 0.03966
| 0.049103
| 0.891092
| 0.877243
| 0.877243
| 0.820585
| 0.820585
| 0.820585
| 0
| 0.000507
| 0.293612
| 5,589
| 161
| 87
| 34.714286
| 0.804205
| 0.023976
| 0
| 0.732824
| 0
| 0
| 0.003974
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.091603
| false
| 0
| 0.022901
| 0
| 0.206107
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
e7350f8ee4263b0943b308ef6ac203543d920844
| 128,126
|
py
|
Python
|
infoblox_netmri/api/broker/v3_6_0/device_setting_broker.py
|
IngmarVG-IB/infoblox-netmri
|
b0c725fd64aee1890d83917d911b89236207e564
|
[
"Apache-2.0"
] | null | null | null |
infoblox_netmri/api/broker/v3_6_0/device_setting_broker.py
|
IngmarVG-IB/infoblox-netmri
|
b0c725fd64aee1890d83917d911b89236207e564
|
[
"Apache-2.0"
] | null | null | null |
infoblox_netmri/api/broker/v3_6_0/device_setting_broker.py
|
IngmarVG-IB/infoblox-netmri
|
b0c725fd64aee1890d83917d911b89236207e564
|
[
"Apache-2.0"
] | null | null | null |
from ..broker import Broker
class DeviceSettingBroker(Broker):
controller = "device_settings"
def index(self, **kwargs):
"""Lists the available device settings. Any of the inputs listed may be be used to narrow the list; other inputs will be ignored. Of the various ways to query lists, using this method is most efficient.
**Inputs**
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DeviceID: The internal NetMRI identifier of each device from which device setting was collected.
:type DeviceID: Integer
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceID: The internal NetMRI identifier of each device from which device setting was collected.
:type DeviceID: Array of Integer
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DeviceSNMPCommunityReadSecure: The read operation of each device in SNMP community.
:type DeviceSNMPCommunityReadSecure: String
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceSNMPCommunityReadSecure: The read operation of each device in SNMP community.
:type DeviceSNMPCommunityReadSecure: Array of String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceGroupID: The internal NetMRI identifier of the device groups to which to limit the results.
:type DeviceGroupID: Array of Integer
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param timestamp: The data returned will represent the device settings as of this date and time. If omitted, the result will indicate the most recently collected data.
:type timestamp: DateTime
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param methods: A list of device setting methods. The listed methods will be called on each device setting returned and included in the output. Available methods are: data_source.
:type methods: Array of String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param include: A list of associated object types to include in the output. The listed associations will be returned as outputs named according to the association name (see outputs below). Available includes are: data_source.
:type include: Array of String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` 0
:param start: The record number to return in the selected page of data. It will always appear, although it may not be the first record. See the :limit for more information.
:type start: Integer
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` 1000
:param limit: The size of the page of data, that is, the maximum number of records returned. The limit size will be used to break the data up into pages and the first page with the start record will be returned. So if you have 100 records and use a :limit of 10 and a :start of 10, you will get records 10-19. The maximum limit is 10000.
:type limit: Integer
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` DeviceID
:param sort: The data field(s) to use for sorting the output. Default is DeviceID. Valid values are DataSourceID, DeviceID, DevSetStartTime, DevSetEndTime, DevSetChangedCols, DevSetTimestamp, DeviceSNMPVersion, DeviceSNMP3AuthProto, DeviceSNMP3PrivProto, DeviceSNMPTimestamp, DeviceSNMPCommunityReadSource, DeviceRespTime, DeviceRank, DeviceConfigLockLastChangeBy, DeviceConfigLockLastChangedTime, DeviceConfigLockedInd, DevicePrivilegedPollingInd, DeviceSNMPPollingInd, DeviceCLIPollingInd, DeviceConfigPollingInd, DevicePortScanningInd, DeviceSNMPAnalysisInd, DeviceFingerPrintInd, DeviceCCSCollectionInd, DeviceVendorDefaultCollectionInd, DeviceStandardsComplianceInd, DeviceLicensedInd, DeviceManagedInd, DeviceNetBIOSScanningInd, DevicePerfEnvPollingInd, SPMLicensedInd, ARPCacheRefreshInd, DeviceCommunitySecure, DeviceSNMPCommunityReadSecure, DeviceSNMPCommunityWriteSecure, DeviceSNMP3AuthPWSecure, DeviceSNMP3PrivPWSecure, SecureVersion, SAMLicensedInd, UseGlobalPolFreq, PolFreqModifier.
:type sort: Array of String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` asc
:param dir: The direction(s) in which to sort the data. Default is 'asc'. Valid values are 'asc' and 'desc'.
:type dir: Array of String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param select: The list of attributes to return for each DeviceSetting. Valid values are DataSourceID, DeviceID, DevSetStartTime, DevSetEndTime, DevSetChangedCols, DevSetTimestamp, DeviceSNMPVersion, DeviceSNMP3AuthProto, DeviceSNMP3PrivProto, DeviceSNMPTimestamp, DeviceSNMPCommunityReadSource, DeviceRespTime, DeviceRank, DeviceConfigLockLastChangeBy, DeviceConfigLockLastChangedTime, DeviceConfigLockedInd, DevicePrivilegedPollingInd, DeviceSNMPPollingInd, DeviceCLIPollingInd, DeviceConfigPollingInd, DevicePortScanningInd, DeviceSNMPAnalysisInd, DeviceFingerPrintInd, DeviceCCSCollectionInd, DeviceVendorDefaultCollectionInd, DeviceStandardsComplianceInd, DeviceLicensedInd, DeviceManagedInd, DeviceNetBIOSScanningInd, DevicePerfEnvPollingInd, SPMLicensedInd, ARPCacheRefreshInd, DeviceCommunitySecure, DeviceSNMPCommunityReadSecure, DeviceSNMPCommunityWriteSecure, DeviceSNMP3AuthPWSecure, DeviceSNMP3PrivPWSecure, SecureVersion, SAMLicensedInd, UseGlobalPolFreq, PolFreqModifier. If empty or omitted, all attributes will be returned.
:type select: Array
| ``api version min:`` 2.8
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param goto_field: The field name for NIOS GOTO that is used for locating a row position of records.
:type goto_field: String
| ``api version min:`` 2.8
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param goto_value: The value of goto_field for NIOS GOTO that is used for locating a row position of records.
:type goto_value: String
**Outputs**
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:return device_settings: An array of the DeviceSetting objects that match the specified input criteria.
:rtype device_settings: Array of DeviceSetting
"""
return self.api_list_request(self._get_method_fullname("index"), kwargs)
def show(self, **kwargs):
"""Shows the details for the specified device setting.
**Inputs**
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` True
| ``default:`` None
:param DeviceID: The internal NetMRI identifier of each device from which device setting was collected.
:type DeviceID: Integer
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param methods: A list of device setting methods. The listed methods will be called on each device setting returned and included in the output. Available methods are: data_source.
:type methods: Array of String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param include: A list of associated object types to include in the output. The listed associations will be returned as outputs named according to the association name (see outputs below). Available includes are: data_source.
:type include: Array of String
**Outputs**
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:return device_setting: The device setting identified by the specified DeviceID.
:rtype device_setting: DeviceSetting
"""
return self.api_request(self._get_method_fullname("show"), kwargs)
def search(self, **kwargs):
"""Lists the available device settings matching the input criteria. This method provides a more flexible search interface than the index method, but searching using this method is more demanding on the system and will not perform to the same level as the index method. The input fields listed below will be used as in the index method, to filter the result, along with the optional query string and XML filter described below.
**Inputs**
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param ARPCacheRefreshInd: A flag indicating if NetMRI refreshes ARP caches to aid in switch-port data collection.
:type ARPCacheRefreshInd: Boolean
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param ARPCacheRefreshInd: A flag indicating if NetMRI refreshes ARP caches to aid in switch-port data collection.
:type ARPCacheRefreshInd: Array of Boolean
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DataSourceID: The internal NetMRI identifier for the collector NetMRI that collected this data record.
:type DataSourceID: Integer
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DataSourceID: The internal NetMRI identifier for the collector NetMRI that collected this data record.
:type DataSourceID: Array of Integer
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DevSetChangedCols: The fields that changed between this revision of the record and the previous revision.
:type DevSetChangedCols: String
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DevSetChangedCols: The fields that changed between this revision of the record and the previous revision.
:type DevSetChangedCols: Array of String
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DevSetEndTime: The ending effective time of this record, or empty if still in effect.
:type DevSetEndTime: DateTime
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DevSetEndTime: The ending effective time of this record, or empty if still in effect.
:type DevSetEndTime: Array of DateTime
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DevSetStartTime: The starting effective time of this record.
:type DevSetStartTime: DateTime
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DevSetStartTime: The starting effective time of this record.
:type DevSetStartTime: Array of DateTime
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DevSetTimestamp: The date and time this record was collected or calculated.
:type DevSetTimestamp: DateTime
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DevSetTimestamp: The date and time this record was collected or calculated.
:type DevSetTimestamp: Array of DateTime
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DeviceCCSCollectionInd: If true, then CCS scripts may be executed against the device.
:type DeviceCCSCollectionInd: Boolean
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceCCSCollectionInd: If true, then CCS scripts may be executed against the device.
:type DeviceCCSCollectionInd: Array of Boolean
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DeviceCLIPollingInd: If true, than NetMRI CLI polling is enabled for the device.
:type DeviceCLIPollingInd: Boolean
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceCLIPollingInd: If true, than NetMRI CLI polling is enabled for the device.
:type DeviceCLIPollingInd: Array of Boolean
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DeviceCommunitySecure: The SNMP read community string for the device.
:type DeviceCommunitySecure: String
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceCommunitySecure: The SNMP read community string for the device.
:type DeviceCommunitySecure: Array of String
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DeviceConfigLockLastChangeBy: The user that last changed the configuration locked status of the device.
:type DeviceConfigLockLastChangeBy: String
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceConfigLockLastChangeBy: The user that last changed the configuration locked status of the device.
:type DeviceConfigLockLastChangeBy: Array of String
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DeviceConfigLockLastChangedTime: The date/time of the last change to the configuration locked status of the device.
:type DeviceConfigLockLastChangedTime: DateTime
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceConfigLockLastChangedTime: The date/time of the last change to the configuration locked status of the device.
:type DeviceConfigLockLastChangedTime: Array of DateTime
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DeviceConfigLockedInd: If true, then changes detected will be considered unauthorized.
:type DeviceConfigLockedInd: Boolean
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceConfigLockedInd: If true, then changes detected will be considered unauthorized.
:type DeviceConfigLockedInd: Array of Boolean
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DeviceConfigPollingInd: If true, than NetMRI configuration collection is enabled for the device.
:type DeviceConfigPollingInd: Boolean
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceConfigPollingInd: If true, than NetMRI configuration collection is enabled for the device.
:type DeviceConfigPollingInd: Array of Boolean
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DeviceFingerPrintInd: If true, then NetMRI fingerprinting is enabled for the device.
:type DeviceFingerPrintInd: Boolean
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceFingerPrintInd: If true, then NetMRI fingerprinting is enabled for the device.
:type DeviceFingerPrintInd: Array of Boolean
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DeviceID: The internal NetMRI identifier of each device from which device setting was collected.
:type DeviceID: Integer
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceID: The internal NetMRI identifier of each device from which device setting was collected.
:type DeviceID: Array of Integer
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DeviceLicensedInd: If true, then this device is licensed as a network device by NetMRI.
:type DeviceLicensedInd: Boolean
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceLicensedInd: If true, then this device is licensed as a network device by NetMRI.
:type DeviceLicensedInd: Array of Boolean
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DeviceManagedInd: If true, then this device is managed.
:type DeviceManagedInd: Boolean
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceManagedInd: If true, then this device is managed.
:type DeviceManagedInd: Array of Boolean
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DeviceNetBIOSScanningInd: A flag indicating if NetMRI scans for the NetBIOS name.
:type DeviceNetBIOSScanningInd: Boolean
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceNetBIOSScanningInd: A flag indicating if NetMRI scans for the NetBIOS name.
:type DeviceNetBIOSScanningInd: Array of Boolean
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DevicePerfEnvPollingInd: A flag that indicates if Performance and Environment polling is enabled for this device.
:type DevicePerfEnvPollingInd: Boolean
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DevicePerfEnvPollingInd: A flag that indicates if Performance and Environment polling is enabled for this device.
:type DevicePerfEnvPollingInd: Array of Boolean
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DevicePortScanningInd: If true, than NetMRI port scanning is enabled for the device.
:type DevicePortScanningInd: Boolean
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DevicePortScanningInd: If true, than NetMRI port scanning is enabled for the device.
:type DevicePortScanningInd: Array of Boolean
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DevicePrivilegedPollingInd: A flag indicated that NetMRI should send enable command when interacting with device
:type DevicePrivilegedPollingInd: Boolean
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DevicePrivilegedPollingInd: A flag indicated that NetMRI should send enable command when interacting with device
:type DevicePrivilegedPollingInd: Array of Boolean
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DeviceRank: The device rank as set on the Device Viewer settings screen.
:type DeviceRank: Integer
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceRank: The device rank as set on the Device Viewer settings screen.
:type DeviceRank: Array of Integer
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DeviceRespTime: The response time of the devices.
:type DeviceRespTime: DateTime
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceRespTime: The response time of the devices.
:type DeviceRespTime: Array of DateTime
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DeviceSNMP3AuthPWSecure: The SNMP3 authentication password of the device.
:type DeviceSNMP3AuthPWSecure: String
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceSNMP3AuthPWSecure: The SNMP3 authentication password of the device.
:type DeviceSNMP3AuthPWSecure: Array of String
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DeviceSNMP3AuthProto: The SNMP3 authentication protocol of the device.
:type DeviceSNMP3AuthProto: String
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceSNMP3AuthProto: The SNMP3 authentication protocol of the device.
:type DeviceSNMP3AuthProto: Array of String
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DeviceSNMP3PrivPWSecure: The SNMP3 privilege password of the device.
:type DeviceSNMP3PrivPWSecure: String
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceSNMP3PrivPWSecure: The SNMP3 privilege password of the device.
:type DeviceSNMP3PrivPWSecure: Array of String
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DeviceSNMP3PrivProto: The SNMP3 privilege protocol of the device.
:type DeviceSNMP3PrivProto: String
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceSNMP3PrivProto: The SNMP3 privilege protocol of the device.
:type DeviceSNMP3PrivProto: Array of String
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DeviceSNMPAnalysisInd: If true, than NetMRI performs analysis on the device. NOTE: Despite the 'SNMP' in the name, this represents all analysis.
:type DeviceSNMPAnalysisInd: Boolean
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceSNMPAnalysisInd: If true, than NetMRI performs analysis on the device. NOTE: Despite the 'SNMP' in the name, this represents all analysis.
:type DeviceSNMPAnalysisInd: Array of Boolean
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DeviceSNMPCommunityReadSecure: The read operation of each device in SNMP community.
:type DeviceSNMPCommunityReadSecure: String
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceSNMPCommunityReadSecure: The read operation of each device in SNMP community.
:type DeviceSNMPCommunityReadSecure: Array of String
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DeviceSNMPCommunityReadSource: The read source of the SNMP community of devices.
:type DeviceSNMPCommunityReadSource: String
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceSNMPCommunityReadSource: The read source of the SNMP community of devices.
:type DeviceSNMPCommunityReadSource: Array of String
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DeviceSNMPCommunityWriteSecure: The write operation of each device in SNMP community.
:type DeviceSNMPCommunityWriteSecure: String
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceSNMPCommunityWriteSecure: The write operation of each device in SNMP community.
:type DeviceSNMPCommunityWriteSecure: Array of String
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DeviceSNMPPollingInd: If true, than NetMRI SNMP polling is enabled for the device.
:type DeviceSNMPPollingInd: Boolean
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceSNMPPollingInd: If true, than NetMRI SNMP polling is enabled for the device.
:type DeviceSNMPPollingInd: Array of Boolean
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DeviceSNMPTimestamp: The date and time this record was collected or calculated.
:type DeviceSNMPTimestamp: DateTime
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceSNMPTimestamp: The date and time this record was collected or calculated.
:type DeviceSNMPTimestamp: Array of DateTime
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DeviceSNMPVersion: The SNMP version of the device.
:type DeviceSNMPVersion: String
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceSNMPVersion: The SNMP version of the device.
:type DeviceSNMPVersion: Array of String
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DeviceStandardsComplianceInd: If true, than this device should be considered during standards compliance checks.
:type DeviceStandardsComplianceInd: Boolean
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceStandardsComplianceInd: If true, than this device should be considered during standards compliance checks.
:type DeviceStandardsComplianceInd: Array of Boolean
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DeviceVendorDefaultCollectionInd: If true, then NetMRI vendor default credential checking is enabled for the device.
:type DeviceVendorDefaultCollectionInd: Boolean
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceVendorDefaultCollectionInd: If true, then NetMRI vendor default credential checking is enabled for the device.
:type DeviceVendorDefaultCollectionInd: Array of Boolean
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param PolFreqModifier: Polling frequency modifier for this device. Actual polling frequency intervals for the device are calculated by multiplying the default intervals by this value.
:type PolFreqModifier: Integer
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param PolFreqModifier: Polling frequency modifier for this device. Actual polling frequency intervals for the device are calculated by multiplying the default intervals by this value.
:type PolFreqModifier: Array of Integer
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param SAMLicensedInd: This flag indicating if the Device Security Control enabled.
:type SAMLicensedInd: String
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param SAMLicensedInd: This flag indicating if the Device Security Control enabled.
:type SAMLicensedInd: Array of String
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param SPMLicensedInd: A flag indicating if the Device is licensed under the Switch Port Management module.
:type SPMLicensedInd: Boolean
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param SPMLicensedInd: A flag indicating if the Device is licensed under the Switch Port Management module.
:type SPMLicensedInd: Array of Boolean
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param SecureVersion: The encryption version of the username and passwords.
:type SecureVersion: Integer
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param SecureVersion: The encryption version of the username and passwords.
:type SecureVersion: Array of Integer
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param UseGlobalPolFreq: A flag indicating if Global Polling Frequency should be used instead Device Group Polling Frequency.
:type UseGlobalPolFreq: Boolean
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param UseGlobalPolFreq: A flag indicating if Global Polling Frequency should be used instead Device Group Polling Frequency.
:type UseGlobalPolFreq: Array of Boolean
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceGroupID: The internal NetMRI identifier of the device groups to which to limit the results.
:type DeviceGroupID: Array of Integer
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param timestamp: The data returned will represent the device settings as of this date and time. If omitted, the result will indicate the most recently collected data.
:type timestamp: DateTime
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param methods: A list of device setting methods. The listed methods will be called on each device setting returned and included in the output. Available methods are: data_source.
:type methods: Array of String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param include: A list of associated object types to include in the output. The listed associations will be returned as outputs named according to the association name (see outputs below). Available includes are: data_source.
:type include: Array of String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` 0
:param start: The record number to return in the selected page of data. It will always appear, although it may not be the first record. See the :limit for more information.
:type start: Integer
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` 1000
:param limit: The size of the page of data, that is, the maximum number of records returned. The limit size will be used to break the data up into pages and the first page with the start record will be returned. So if you have 100 records and use a :limit of 10 and a :start of 10, you will get records 10-19. The maximum limit is 10000.
:type limit: Integer
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` DeviceID
:param sort: The data field(s) to use for sorting the output. Default is DeviceID. Valid values are DataSourceID, DeviceID, DevSetStartTime, DevSetEndTime, DevSetChangedCols, DevSetTimestamp, DeviceSNMPVersion, DeviceSNMP3AuthProto, DeviceSNMP3PrivProto, DeviceSNMPTimestamp, DeviceSNMPCommunityReadSource, DeviceRespTime, DeviceRank, DeviceConfigLockLastChangeBy, DeviceConfigLockLastChangedTime, DeviceConfigLockedInd, DevicePrivilegedPollingInd, DeviceSNMPPollingInd, DeviceCLIPollingInd, DeviceConfigPollingInd, DevicePortScanningInd, DeviceSNMPAnalysisInd, DeviceFingerPrintInd, DeviceCCSCollectionInd, DeviceVendorDefaultCollectionInd, DeviceStandardsComplianceInd, DeviceLicensedInd, DeviceManagedInd, DeviceNetBIOSScanningInd, DevicePerfEnvPollingInd, SPMLicensedInd, ARPCacheRefreshInd, DeviceCommunitySecure, DeviceSNMPCommunityReadSecure, DeviceSNMPCommunityWriteSecure, DeviceSNMP3AuthPWSecure, DeviceSNMP3PrivPWSecure, SecureVersion, SAMLicensedInd, UseGlobalPolFreq, PolFreqModifier.
:type sort: Array of String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` asc
:param dir: The direction(s) in which to sort the data. Default is 'asc'. Valid values are 'asc' and 'desc'.
:type dir: Array of String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param select: The list of attributes to return for each DeviceSetting. Valid values are DataSourceID, DeviceID, DevSetStartTime, DevSetEndTime, DevSetChangedCols, DevSetTimestamp, DeviceSNMPVersion, DeviceSNMP3AuthProto, DeviceSNMP3PrivProto, DeviceSNMPTimestamp, DeviceSNMPCommunityReadSource, DeviceRespTime, DeviceRank, DeviceConfigLockLastChangeBy, DeviceConfigLockLastChangedTime, DeviceConfigLockedInd, DevicePrivilegedPollingInd, DeviceSNMPPollingInd, DeviceCLIPollingInd, DeviceConfigPollingInd, DevicePortScanningInd, DeviceSNMPAnalysisInd, DeviceFingerPrintInd, DeviceCCSCollectionInd, DeviceVendorDefaultCollectionInd, DeviceStandardsComplianceInd, DeviceLicensedInd, DeviceManagedInd, DeviceNetBIOSScanningInd, DevicePerfEnvPollingInd, SPMLicensedInd, ARPCacheRefreshInd, DeviceCommunitySecure, DeviceSNMPCommunityReadSecure, DeviceSNMPCommunityWriteSecure, DeviceSNMP3AuthPWSecure, DeviceSNMP3PrivPWSecure, SecureVersion, SAMLicensedInd, UseGlobalPolFreq, PolFreqModifier. If empty or omitted, all attributes will be returned.
:type select: Array
| ``api version min:`` 2.8
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param goto_field: The field name for NIOS GOTO that is used for locating a row position of records.
:type goto_field: String
| ``api version min:`` 2.8
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param goto_value: The value of goto_field for NIOS GOTO that is used for locating a row position of records.
:type goto_value: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param query: This value will be matched against device settings, looking to see if one or more of the listed attributes contain the passed value. You may also surround the value with '/' and '/' to perform a regular expression search rather than a containment operation. Any record that matches will be returned. The attributes searched are: ARPCacheRefreshInd, DataSourceID, DevSetChangedCols, DevSetEndTime, DevSetStartTime, DevSetTimestamp, DeviceCCSCollectionInd, DeviceCLIPollingInd, DeviceCommunitySecure, DeviceConfigLockLastChangeBy, DeviceConfigLockLastChangedTime, DeviceConfigLockedInd, DeviceConfigPollingInd, DeviceFingerPrintInd, DeviceID, DeviceLicensedInd, DeviceManagedInd, DeviceNetBIOSScanningInd, DevicePerfEnvPollingInd, DevicePortScanningInd, DevicePrivilegedPollingInd, DeviceRank, DeviceRespTime, DeviceSNMP3AuthPWSecure, DeviceSNMP3AuthProto, DeviceSNMP3PrivPWSecure, DeviceSNMP3PrivProto, DeviceSNMPAnalysisInd, DeviceSNMPCommunityReadSecure, DeviceSNMPCommunityReadSource, DeviceSNMPCommunityWriteSecure, DeviceSNMPPollingInd, DeviceSNMPTimestamp, DeviceSNMPVersion, DeviceStandardsComplianceInd, DeviceVendorDefaultCollectionInd, PolFreqModifier, SAMLicensedInd, SPMLicensedInd, SecureVersion, UseGlobalPolFreq.
:type query: String
| ``api version min:`` 2.3
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param xml_filter: A SetFilter XML structure to further refine the search. The SetFilter will be applied AFTER any search query or field values, but before any limit options. The limit and pagination will be enforced after the filter. Remind that this kind of filter may be costly and inefficient if not associated with a database filtering.
:type xml_filter: String
**Outputs**
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:return device_settings: An array of the DeviceSetting objects that match the specified input criteria.
:rtype device_settings: Array of DeviceSetting
"""
return self.api_list_request(self._get_method_fullname("search"), kwargs)
def find(self, **kwargs):
"""Lists the available device settings matching the input specification. This provides the most flexible search specification of all the query mechanisms, enabling searching using comparison operations other than equality. However, it is more complex to use and will not perform as efficiently as the index or search methods. In the input descriptions below, 'field names' refers to the following fields: ARPCacheRefreshInd, DataSourceID, DevSetChangedCols, DevSetEndTime, DevSetStartTime, DevSetTimestamp, DeviceCCSCollectionInd, DeviceCLIPollingInd, DeviceCommunitySecure, DeviceConfigLockLastChangeBy, DeviceConfigLockLastChangedTime, DeviceConfigLockedInd, DeviceConfigPollingInd, DeviceFingerPrintInd, DeviceID, DeviceLicensedInd, DeviceManagedInd, DeviceNetBIOSScanningInd, DevicePerfEnvPollingInd, DevicePortScanningInd, DevicePrivilegedPollingInd, DeviceRank, DeviceRespTime, DeviceSNMP3AuthPWSecure, DeviceSNMP3AuthProto, DeviceSNMP3PrivPWSecure, DeviceSNMP3PrivProto, DeviceSNMPAnalysisInd, DeviceSNMPCommunityReadSecure, DeviceSNMPCommunityReadSource, DeviceSNMPCommunityWriteSecure, DeviceSNMPPollingInd, DeviceSNMPTimestamp, DeviceSNMPVersion, DeviceStandardsComplianceInd, DeviceVendorDefaultCollectionInd, PolFreqModifier, SAMLicensedInd, SPMLicensedInd, SecureVersion, UseGlobalPolFreq.
**Inputs**
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_ARPCacheRefreshInd: The operator to apply to the field ARPCacheRefreshInd. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. ARPCacheRefreshInd: A flag indicating if NetMRI refreshes ARP caches to aid in switch-port data collection. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_ARPCacheRefreshInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_ARPCacheRefreshInd: If op_ARPCacheRefreshInd is specified, the field named in this input will be compared to the value in ARPCacheRefreshInd using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_ARPCacheRefreshInd must be specified if op_ARPCacheRefreshInd is specified.
:type val_f_ARPCacheRefreshInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_ARPCacheRefreshInd: If op_ARPCacheRefreshInd is specified, this value will be compared to the value in ARPCacheRefreshInd using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_ARPCacheRefreshInd must be specified if op_ARPCacheRefreshInd is specified.
:type val_c_ARPCacheRefreshInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DataSourceID: The operator to apply to the field DataSourceID. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DataSourceID: The internal NetMRI identifier for the collector NetMRI that collected this data record. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DataSourceID: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DataSourceID: If op_DataSourceID is specified, the field named in this input will be compared to the value in DataSourceID using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DataSourceID must be specified if op_DataSourceID is specified.
:type val_f_DataSourceID: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DataSourceID: If op_DataSourceID is specified, this value will be compared to the value in DataSourceID using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DataSourceID must be specified if op_DataSourceID is specified.
:type val_c_DataSourceID: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DevSetChangedCols: The operator to apply to the field DevSetChangedCols. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DevSetChangedCols: The fields that changed between this revision of the record and the previous revision. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DevSetChangedCols: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DevSetChangedCols: If op_DevSetChangedCols is specified, the field named in this input will be compared to the value in DevSetChangedCols using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DevSetChangedCols must be specified if op_DevSetChangedCols is specified.
:type val_f_DevSetChangedCols: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DevSetChangedCols: If op_DevSetChangedCols is specified, this value will be compared to the value in DevSetChangedCols using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DevSetChangedCols must be specified if op_DevSetChangedCols is specified.
:type val_c_DevSetChangedCols: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DevSetEndTime: The operator to apply to the field DevSetEndTime. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DevSetEndTime: The ending effective time of this record, or empty if still in effect. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DevSetEndTime: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DevSetEndTime: If op_DevSetEndTime is specified, the field named in this input will be compared to the value in DevSetEndTime using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DevSetEndTime must be specified if op_DevSetEndTime is specified.
:type val_f_DevSetEndTime: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DevSetEndTime: If op_DevSetEndTime is specified, this value will be compared to the value in DevSetEndTime using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DevSetEndTime must be specified if op_DevSetEndTime is specified.
:type val_c_DevSetEndTime: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DevSetStartTime: The operator to apply to the field DevSetStartTime. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DevSetStartTime: The starting effective time of this record. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DevSetStartTime: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DevSetStartTime: If op_DevSetStartTime is specified, the field named in this input will be compared to the value in DevSetStartTime using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DevSetStartTime must be specified if op_DevSetStartTime is specified.
:type val_f_DevSetStartTime: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DevSetStartTime: If op_DevSetStartTime is specified, this value will be compared to the value in DevSetStartTime using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DevSetStartTime must be specified if op_DevSetStartTime is specified.
:type val_c_DevSetStartTime: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DevSetTimestamp: The operator to apply to the field DevSetTimestamp. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DevSetTimestamp: The date and time this record was collected or calculated. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DevSetTimestamp: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DevSetTimestamp: If op_DevSetTimestamp is specified, the field named in this input will be compared to the value in DevSetTimestamp using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DevSetTimestamp must be specified if op_DevSetTimestamp is specified.
:type val_f_DevSetTimestamp: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DevSetTimestamp: If op_DevSetTimestamp is specified, this value will be compared to the value in DevSetTimestamp using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DevSetTimestamp must be specified if op_DevSetTimestamp is specified.
:type val_c_DevSetTimestamp: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DeviceCCSCollectionInd: The operator to apply to the field DeviceCCSCollectionInd. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DeviceCCSCollectionInd: If true, then CCS scripts may be executed against the device. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DeviceCCSCollectionInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DeviceCCSCollectionInd: If op_DeviceCCSCollectionInd is specified, the field named in this input will be compared to the value in DeviceCCSCollectionInd using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DeviceCCSCollectionInd must be specified if op_DeviceCCSCollectionInd is specified.
:type val_f_DeviceCCSCollectionInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DeviceCCSCollectionInd: If op_DeviceCCSCollectionInd is specified, this value will be compared to the value in DeviceCCSCollectionInd using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DeviceCCSCollectionInd must be specified if op_DeviceCCSCollectionInd is specified.
:type val_c_DeviceCCSCollectionInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DeviceCLIPollingInd: The operator to apply to the field DeviceCLIPollingInd. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DeviceCLIPollingInd: If true, than NetMRI CLI polling is enabled for the device. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DeviceCLIPollingInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DeviceCLIPollingInd: If op_DeviceCLIPollingInd is specified, the field named in this input will be compared to the value in DeviceCLIPollingInd using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DeviceCLIPollingInd must be specified if op_DeviceCLIPollingInd is specified.
:type val_f_DeviceCLIPollingInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DeviceCLIPollingInd: If op_DeviceCLIPollingInd is specified, this value will be compared to the value in DeviceCLIPollingInd using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DeviceCLIPollingInd must be specified if op_DeviceCLIPollingInd is specified.
:type val_c_DeviceCLIPollingInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DeviceCommunitySecure: The operator to apply to the field DeviceCommunitySecure. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DeviceCommunitySecure: The SNMP read community string for the device. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DeviceCommunitySecure: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DeviceCommunitySecure: If op_DeviceCommunitySecure is specified, the field named in this input will be compared to the value in DeviceCommunitySecure using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DeviceCommunitySecure must be specified if op_DeviceCommunitySecure is specified.
:type val_f_DeviceCommunitySecure: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DeviceCommunitySecure: If op_DeviceCommunitySecure is specified, this value will be compared to the value in DeviceCommunitySecure using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DeviceCommunitySecure must be specified if op_DeviceCommunitySecure is specified.
:type val_c_DeviceCommunitySecure: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DeviceConfigLockLastChangeBy: The operator to apply to the field DeviceConfigLockLastChangeBy. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DeviceConfigLockLastChangeBy: The user that last changed the configuration locked status of the device. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DeviceConfigLockLastChangeBy: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DeviceConfigLockLastChangeBy: If op_DeviceConfigLockLastChangeBy is specified, the field named in this input will be compared to the value in DeviceConfigLockLastChangeBy using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DeviceConfigLockLastChangeBy must be specified if op_DeviceConfigLockLastChangeBy is specified.
:type val_f_DeviceConfigLockLastChangeBy: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DeviceConfigLockLastChangeBy: If op_DeviceConfigLockLastChangeBy is specified, this value will be compared to the value in DeviceConfigLockLastChangeBy using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DeviceConfigLockLastChangeBy must be specified if op_DeviceConfigLockLastChangeBy is specified.
:type val_c_DeviceConfigLockLastChangeBy: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DeviceConfigLockLastChangedTime: The operator to apply to the field DeviceConfigLockLastChangedTime. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DeviceConfigLockLastChangedTime: The date/time of the last change to the configuration locked status of the device. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DeviceConfigLockLastChangedTime: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DeviceConfigLockLastChangedTime: If op_DeviceConfigLockLastChangedTime is specified, the field named in this input will be compared to the value in DeviceConfigLockLastChangedTime using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DeviceConfigLockLastChangedTime must be specified if op_DeviceConfigLockLastChangedTime is specified.
:type val_f_DeviceConfigLockLastChangedTime: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DeviceConfigLockLastChangedTime: If op_DeviceConfigLockLastChangedTime is specified, this value will be compared to the value in DeviceConfigLockLastChangedTime using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DeviceConfigLockLastChangedTime must be specified if op_DeviceConfigLockLastChangedTime is specified.
:type val_c_DeviceConfigLockLastChangedTime: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DeviceConfigLockedInd: The operator to apply to the field DeviceConfigLockedInd. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DeviceConfigLockedInd: If true, then changes detected will be considered unauthorized. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DeviceConfigLockedInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DeviceConfigLockedInd: If op_DeviceConfigLockedInd is specified, the field named in this input will be compared to the value in DeviceConfigLockedInd using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DeviceConfigLockedInd must be specified if op_DeviceConfigLockedInd is specified.
:type val_f_DeviceConfigLockedInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DeviceConfigLockedInd: If op_DeviceConfigLockedInd is specified, this value will be compared to the value in DeviceConfigLockedInd using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DeviceConfigLockedInd must be specified if op_DeviceConfigLockedInd is specified.
:type val_c_DeviceConfigLockedInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DeviceConfigPollingInd: The operator to apply to the field DeviceConfigPollingInd. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DeviceConfigPollingInd: If true, than NetMRI configuration collection is enabled for the device. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DeviceConfigPollingInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DeviceConfigPollingInd: If op_DeviceConfigPollingInd is specified, the field named in this input will be compared to the value in DeviceConfigPollingInd using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DeviceConfigPollingInd must be specified if op_DeviceConfigPollingInd is specified.
:type val_f_DeviceConfigPollingInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DeviceConfigPollingInd: If op_DeviceConfigPollingInd is specified, this value will be compared to the value in DeviceConfigPollingInd using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DeviceConfigPollingInd must be specified if op_DeviceConfigPollingInd is specified.
:type val_c_DeviceConfigPollingInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DeviceFingerPrintInd: The operator to apply to the field DeviceFingerPrintInd. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DeviceFingerPrintInd: If true, then NetMRI fingerprinting is enabled for the device. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DeviceFingerPrintInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DeviceFingerPrintInd: If op_DeviceFingerPrintInd is specified, the field named in this input will be compared to the value in DeviceFingerPrintInd using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DeviceFingerPrintInd must be specified if op_DeviceFingerPrintInd is specified.
:type val_f_DeviceFingerPrintInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DeviceFingerPrintInd: If op_DeviceFingerPrintInd is specified, this value will be compared to the value in DeviceFingerPrintInd using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DeviceFingerPrintInd must be specified if op_DeviceFingerPrintInd is specified.
:type val_c_DeviceFingerPrintInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DeviceID: The operator to apply to the field DeviceID. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DeviceID: The internal NetMRI identifier of each device from which device setting was collected. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DeviceID: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DeviceID: If op_DeviceID is specified, the field named in this input will be compared to the value in DeviceID using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DeviceID must be specified if op_DeviceID is specified.
:type val_f_DeviceID: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DeviceID: If op_DeviceID is specified, this value will be compared to the value in DeviceID using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DeviceID must be specified if op_DeviceID is specified.
:type val_c_DeviceID: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DeviceLicensedInd: The operator to apply to the field DeviceLicensedInd. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DeviceLicensedInd: If true, then this device is licensed as a network device by NetMRI. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DeviceLicensedInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DeviceLicensedInd: If op_DeviceLicensedInd is specified, the field named in this input will be compared to the value in DeviceLicensedInd using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DeviceLicensedInd must be specified if op_DeviceLicensedInd is specified.
:type val_f_DeviceLicensedInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DeviceLicensedInd: If op_DeviceLicensedInd is specified, this value will be compared to the value in DeviceLicensedInd using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DeviceLicensedInd must be specified if op_DeviceLicensedInd is specified.
:type val_c_DeviceLicensedInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DeviceManagedInd: The operator to apply to the field DeviceManagedInd. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DeviceManagedInd: If true, then this device is managed. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DeviceManagedInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DeviceManagedInd: If op_DeviceManagedInd is specified, the field named in this input will be compared to the value in DeviceManagedInd using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DeviceManagedInd must be specified if op_DeviceManagedInd is specified.
:type val_f_DeviceManagedInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DeviceManagedInd: If op_DeviceManagedInd is specified, this value will be compared to the value in DeviceManagedInd using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DeviceManagedInd must be specified if op_DeviceManagedInd is specified.
:type val_c_DeviceManagedInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DeviceNetBIOSScanningInd: The operator to apply to the field DeviceNetBIOSScanningInd. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DeviceNetBIOSScanningInd: A flag indicating if NetMRI scans for the NetBIOS name. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DeviceNetBIOSScanningInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DeviceNetBIOSScanningInd: If op_DeviceNetBIOSScanningInd is specified, the field named in this input will be compared to the value in DeviceNetBIOSScanningInd using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DeviceNetBIOSScanningInd must be specified if op_DeviceNetBIOSScanningInd is specified.
:type val_f_DeviceNetBIOSScanningInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DeviceNetBIOSScanningInd: If op_DeviceNetBIOSScanningInd is specified, this value will be compared to the value in DeviceNetBIOSScanningInd using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DeviceNetBIOSScanningInd must be specified if op_DeviceNetBIOSScanningInd is specified.
:type val_c_DeviceNetBIOSScanningInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DevicePerfEnvPollingInd: The operator to apply to the field DevicePerfEnvPollingInd. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DevicePerfEnvPollingInd: A flag that indicates if Performance and Environment polling is enabled for this device. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DevicePerfEnvPollingInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DevicePerfEnvPollingInd: If op_DevicePerfEnvPollingInd is specified, the field named in this input will be compared to the value in DevicePerfEnvPollingInd using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DevicePerfEnvPollingInd must be specified if op_DevicePerfEnvPollingInd is specified.
:type val_f_DevicePerfEnvPollingInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DevicePerfEnvPollingInd: If op_DevicePerfEnvPollingInd is specified, this value will be compared to the value in DevicePerfEnvPollingInd using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DevicePerfEnvPollingInd must be specified if op_DevicePerfEnvPollingInd is specified.
:type val_c_DevicePerfEnvPollingInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DevicePortScanningInd: The operator to apply to the field DevicePortScanningInd. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DevicePortScanningInd: If true, than NetMRI port scanning is enabled for the device. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DevicePortScanningInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DevicePortScanningInd: If op_DevicePortScanningInd is specified, the field named in this input will be compared to the value in DevicePortScanningInd using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DevicePortScanningInd must be specified if op_DevicePortScanningInd is specified.
:type val_f_DevicePortScanningInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DevicePortScanningInd: If op_DevicePortScanningInd is specified, this value will be compared to the value in DevicePortScanningInd using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DevicePortScanningInd must be specified if op_DevicePortScanningInd is specified.
:type val_c_DevicePortScanningInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DevicePrivilegedPollingInd: The operator to apply to the field DevicePrivilegedPollingInd. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DevicePrivilegedPollingInd: A flag indicated that NetMRI should send enable command when interacting with device For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DevicePrivilegedPollingInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DevicePrivilegedPollingInd: If op_DevicePrivilegedPollingInd is specified, the field named in this input will be compared to the value in DevicePrivilegedPollingInd using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DevicePrivilegedPollingInd must be specified if op_DevicePrivilegedPollingInd is specified.
:type val_f_DevicePrivilegedPollingInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DevicePrivilegedPollingInd: If op_DevicePrivilegedPollingInd is specified, this value will be compared to the value in DevicePrivilegedPollingInd using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DevicePrivilegedPollingInd must be specified if op_DevicePrivilegedPollingInd is specified.
:type val_c_DevicePrivilegedPollingInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DeviceRank: The operator to apply to the field DeviceRank. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DeviceRank: The device rank as set on the Device Viewer settings screen. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DeviceRank: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DeviceRank: If op_DeviceRank is specified, the field named in this input will be compared to the value in DeviceRank using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DeviceRank must be specified if op_DeviceRank is specified.
:type val_f_DeviceRank: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DeviceRank: If op_DeviceRank is specified, this value will be compared to the value in DeviceRank using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DeviceRank must be specified if op_DeviceRank is specified.
:type val_c_DeviceRank: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DeviceRespTime: The operator to apply to the field DeviceRespTime. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DeviceRespTime: The response time of the devices. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DeviceRespTime: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DeviceRespTime: If op_DeviceRespTime is specified, the field named in this input will be compared to the value in DeviceRespTime using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DeviceRespTime must be specified if op_DeviceRespTime is specified.
:type val_f_DeviceRespTime: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DeviceRespTime: If op_DeviceRespTime is specified, this value will be compared to the value in DeviceRespTime using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DeviceRespTime must be specified if op_DeviceRespTime is specified.
:type val_c_DeviceRespTime: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DeviceSNMP3AuthPWSecure: The operator to apply to the field DeviceSNMP3AuthPWSecure. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DeviceSNMP3AuthPWSecure: The SNMP3 authentication password of the device. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DeviceSNMP3AuthPWSecure: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DeviceSNMP3AuthPWSecure: If op_DeviceSNMP3AuthPWSecure is specified, the field named in this input will be compared to the value in DeviceSNMP3AuthPWSecure using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DeviceSNMP3AuthPWSecure must be specified if op_DeviceSNMP3AuthPWSecure is specified.
:type val_f_DeviceSNMP3AuthPWSecure: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DeviceSNMP3AuthPWSecure: If op_DeviceSNMP3AuthPWSecure is specified, this value will be compared to the value in DeviceSNMP3AuthPWSecure using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DeviceSNMP3AuthPWSecure must be specified if op_DeviceSNMP3AuthPWSecure is specified.
:type val_c_DeviceSNMP3AuthPWSecure: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DeviceSNMP3AuthProto: The operator to apply to the field DeviceSNMP3AuthProto. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DeviceSNMP3AuthProto: The SNMP3 authentication protocol of the device. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DeviceSNMP3AuthProto: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DeviceSNMP3AuthProto: If op_DeviceSNMP3AuthProto is specified, the field named in this input will be compared to the value in DeviceSNMP3AuthProto using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DeviceSNMP3AuthProto must be specified if op_DeviceSNMP3AuthProto is specified.
:type val_f_DeviceSNMP3AuthProto: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DeviceSNMP3AuthProto: If op_DeviceSNMP3AuthProto is specified, this value will be compared to the value in DeviceSNMP3AuthProto using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DeviceSNMP3AuthProto must be specified if op_DeviceSNMP3AuthProto is specified.
:type val_c_DeviceSNMP3AuthProto: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DeviceSNMP3PrivPWSecure: The operator to apply to the field DeviceSNMP3PrivPWSecure. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DeviceSNMP3PrivPWSecure: The SNMP3 privilege password of the device. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DeviceSNMP3PrivPWSecure: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DeviceSNMP3PrivPWSecure: If op_DeviceSNMP3PrivPWSecure is specified, the field named in this input will be compared to the value in DeviceSNMP3PrivPWSecure using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DeviceSNMP3PrivPWSecure must be specified if op_DeviceSNMP3PrivPWSecure is specified.
:type val_f_DeviceSNMP3PrivPWSecure: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DeviceSNMP3PrivPWSecure: If op_DeviceSNMP3PrivPWSecure is specified, this value will be compared to the value in DeviceSNMP3PrivPWSecure using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DeviceSNMP3PrivPWSecure must be specified if op_DeviceSNMP3PrivPWSecure is specified.
:type val_c_DeviceSNMP3PrivPWSecure: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DeviceSNMP3PrivProto: The operator to apply to the field DeviceSNMP3PrivProto. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DeviceSNMP3PrivProto: The SNMP3 privilege protocol of the device. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DeviceSNMP3PrivProto: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DeviceSNMP3PrivProto: If op_DeviceSNMP3PrivProto is specified, the field named in this input will be compared to the value in DeviceSNMP3PrivProto using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DeviceSNMP3PrivProto must be specified if op_DeviceSNMP3PrivProto is specified.
:type val_f_DeviceSNMP3PrivProto: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DeviceSNMP3PrivProto: If op_DeviceSNMP3PrivProto is specified, this value will be compared to the value in DeviceSNMP3PrivProto using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DeviceSNMP3PrivProto must be specified if op_DeviceSNMP3PrivProto is specified.
:type val_c_DeviceSNMP3PrivProto: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DeviceSNMPAnalysisInd: The operator to apply to the field DeviceSNMPAnalysisInd. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DeviceSNMPAnalysisInd: If true, than NetMRI performs analysis on the device. NOTE: Despite the 'SNMP' in the name, this represents all analysis. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DeviceSNMPAnalysisInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DeviceSNMPAnalysisInd: If op_DeviceSNMPAnalysisInd is specified, the field named in this input will be compared to the value in DeviceSNMPAnalysisInd using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DeviceSNMPAnalysisInd must be specified if op_DeviceSNMPAnalysisInd is specified.
:type val_f_DeviceSNMPAnalysisInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DeviceSNMPAnalysisInd: If op_DeviceSNMPAnalysisInd is specified, this value will be compared to the value in DeviceSNMPAnalysisInd using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DeviceSNMPAnalysisInd must be specified if op_DeviceSNMPAnalysisInd is specified.
:type val_c_DeviceSNMPAnalysisInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DeviceSNMPCommunityReadSecure: The operator to apply to the field DeviceSNMPCommunityReadSecure. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DeviceSNMPCommunityReadSecure: The read operation of each device in SNMP community. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DeviceSNMPCommunityReadSecure: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DeviceSNMPCommunityReadSecure: If op_DeviceSNMPCommunityReadSecure is specified, the field named in this input will be compared to the value in DeviceSNMPCommunityReadSecure using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DeviceSNMPCommunityReadSecure must be specified if op_DeviceSNMPCommunityReadSecure is specified.
:type val_f_DeviceSNMPCommunityReadSecure: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DeviceSNMPCommunityReadSecure: If op_DeviceSNMPCommunityReadSecure is specified, this value will be compared to the value in DeviceSNMPCommunityReadSecure using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DeviceSNMPCommunityReadSecure must be specified if op_DeviceSNMPCommunityReadSecure is specified.
:type val_c_DeviceSNMPCommunityReadSecure: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DeviceSNMPCommunityReadSource: The operator to apply to the field DeviceSNMPCommunityReadSource. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DeviceSNMPCommunityReadSource: The read source of the SNMP community of devices. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DeviceSNMPCommunityReadSource: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DeviceSNMPCommunityReadSource: If op_DeviceSNMPCommunityReadSource is specified, the field named in this input will be compared to the value in DeviceSNMPCommunityReadSource using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DeviceSNMPCommunityReadSource must be specified if op_DeviceSNMPCommunityReadSource is specified.
:type val_f_DeviceSNMPCommunityReadSource: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DeviceSNMPCommunityReadSource: If op_DeviceSNMPCommunityReadSource is specified, this value will be compared to the value in DeviceSNMPCommunityReadSource using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DeviceSNMPCommunityReadSource must be specified if op_DeviceSNMPCommunityReadSource is specified.
:type val_c_DeviceSNMPCommunityReadSource: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DeviceSNMPCommunityWriteSecure: The operator to apply to the field DeviceSNMPCommunityWriteSecure. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DeviceSNMPCommunityWriteSecure: The write operation of each device in SNMP community. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DeviceSNMPCommunityWriteSecure: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DeviceSNMPCommunityWriteSecure: If op_DeviceSNMPCommunityWriteSecure is specified, the field named in this input will be compared to the value in DeviceSNMPCommunityWriteSecure using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DeviceSNMPCommunityWriteSecure must be specified if op_DeviceSNMPCommunityWriteSecure is specified.
:type val_f_DeviceSNMPCommunityWriteSecure: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DeviceSNMPCommunityWriteSecure: If op_DeviceSNMPCommunityWriteSecure is specified, this value will be compared to the value in DeviceSNMPCommunityWriteSecure using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DeviceSNMPCommunityWriteSecure must be specified if op_DeviceSNMPCommunityWriteSecure is specified.
:type val_c_DeviceSNMPCommunityWriteSecure: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DeviceSNMPPollingInd: The operator to apply to the field DeviceSNMPPollingInd. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DeviceSNMPPollingInd: If true, than NetMRI SNMP polling is enabled for the device. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DeviceSNMPPollingInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DeviceSNMPPollingInd: If op_DeviceSNMPPollingInd is specified, the field named in this input will be compared to the value in DeviceSNMPPollingInd using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DeviceSNMPPollingInd must be specified if op_DeviceSNMPPollingInd is specified.
:type val_f_DeviceSNMPPollingInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DeviceSNMPPollingInd: If op_DeviceSNMPPollingInd is specified, this value will be compared to the value in DeviceSNMPPollingInd using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DeviceSNMPPollingInd must be specified if op_DeviceSNMPPollingInd is specified.
:type val_c_DeviceSNMPPollingInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DeviceSNMPTimestamp: The operator to apply to the field DeviceSNMPTimestamp. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DeviceSNMPTimestamp: The date and time this record was collected or calculated. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DeviceSNMPTimestamp: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DeviceSNMPTimestamp: If op_DeviceSNMPTimestamp is specified, the field named in this input will be compared to the value in DeviceSNMPTimestamp using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DeviceSNMPTimestamp must be specified if op_DeviceSNMPTimestamp is specified.
:type val_f_DeviceSNMPTimestamp: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DeviceSNMPTimestamp: If op_DeviceSNMPTimestamp is specified, this value will be compared to the value in DeviceSNMPTimestamp using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DeviceSNMPTimestamp must be specified if op_DeviceSNMPTimestamp is specified.
:type val_c_DeviceSNMPTimestamp: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DeviceSNMPVersion: The operator to apply to the field DeviceSNMPVersion. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DeviceSNMPVersion: The SNMP version of the device. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DeviceSNMPVersion: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DeviceSNMPVersion: If op_DeviceSNMPVersion is specified, the field named in this input will be compared to the value in DeviceSNMPVersion using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DeviceSNMPVersion must be specified if op_DeviceSNMPVersion is specified.
:type val_f_DeviceSNMPVersion: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DeviceSNMPVersion: If op_DeviceSNMPVersion is specified, this value will be compared to the value in DeviceSNMPVersion using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DeviceSNMPVersion must be specified if op_DeviceSNMPVersion is specified.
:type val_c_DeviceSNMPVersion: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DeviceStandardsComplianceInd: The operator to apply to the field DeviceStandardsComplianceInd. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DeviceStandardsComplianceInd: If true, than this device should be considered during standards compliance checks. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DeviceStandardsComplianceInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DeviceStandardsComplianceInd: If op_DeviceStandardsComplianceInd is specified, the field named in this input will be compared to the value in DeviceStandardsComplianceInd using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DeviceStandardsComplianceInd must be specified if op_DeviceStandardsComplianceInd is specified.
:type val_f_DeviceStandardsComplianceInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DeviceStandardsComplianceInd: If op_DeviceStandardsComplianceInd is specified, this value will be compared to the value in DeviceStandardsComplianceInd using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DeviceStandardsComplianceInd must be specified if op_DeviceStandardsComplianceInd is specified.
:type val_c_DeviceStandardsComplianceInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DeviceVendorDefaultCollectionInd: The operator to apply to the field DeviceVendorDefaultCollectionInd. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DeviceVendorDefaultCollectionInd: If true, then NetMRI vendor default credential checking is enabled for the device. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DeviceVendorDefaultCollectionInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DeviceVendorDefaultCollectionInd: If op_DeviceVendorDefaultCollectionInd is specified, the field named in this input will be compared to the value in DeviceVendorDefaultCollectionInd using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DeviceVendorDefaultCollectionInd must be specified if op_DeviceVendorDefaultCollectionInd is specified.
:type val_f_DeviceVendorDefaultCollectionInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DeviceVendorDefaultCollectionInd: If op_DeviceVendorDefaultCollectionInd is specified, this value will be compared to the value in DeviceVendorDefaultCollectionInd using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DeviceVendorDefaultCollectionInd must be specified if op_DeviceVendorDefaultCollectionInd is specified.
:type val_c_DeviceVendorDefaultCollectionInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_PolFreqModifier: The operator to apply to the field PolFreqModifier. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. PolFreqModifier: Polling frequency modifier for this device. Actual polling frequency intervals for the device are calculated by multiplying the default intervals by this value. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_PolFreqModifier: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_PolFreqModifier: If op_PolFreqModifier is specified, the field named in this input will be compared to the value in PolFreqModifier using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_PolFreqModifier must be specified if op_PolFreqModifier is specified.
:type val_f_PolFreqModifier: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_PolFreqModifier: If op_PolFreqModifier is specified, this value will be compared to the value in PolFreqModifier using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_PolFreqModifier must be specified if op_PolFreqModifier is specified.
:type val_c_PolFreqModifier: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_SAMLicensedInd: The operator to apply to the field SAMLicensedInd. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. SAMLicensedInd: This flag indicating if the Device Security Control enabled. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_SAMLicensedInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_SAMLicensedInd: If op_SAMLicensedInd is specified, the field named in this input will be compared to the value in SAMLicensedInd using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_SAMLicensedInd must be specified if op_SAMLicensedInd is specified.
:type val_f_SAMLicensedInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_SAMLicensedInd: If op_SAMLicensedInd is specified, this value will be compared to the value in SAMLicensedInd using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_SAMLicensedInd must be specified if op_SAMLicensedInd is specified.
:type val_c_SAMLicensedInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_SPMLicensedInd: The operator to apply to the field SPMLicensedInd. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. SPMLicensedInd: A flag indicating if the Device is licensed under the Switch Port Management module. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_SPMLicensedInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_SPMLicensedInd: If op_SPMLicensedInd is specified, the field named in this input will be compared to the value in SPMLicensedInd using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_SPMLicensedInd must be specified if op_SPMLicensedInd is specified.
:type val_f_SPMLicensedInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_SPMLicensedInd: If op_SPMLicensedInd is specified, this value will be compared to the value in SPMLicensedInd using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_SPMLicensedInd must be specified if op_SPMLicensedInd is specified.
:type val_c_SPMLicensedInd: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_SecureVersion: The operator to apply to the field SecureVersion. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. SecureVersion: The encryption version of the username and passwords. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_SecureVersion: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_SecureVersion: If op_SecureVersion is specified, the field named in this input will be compared to the value in SecureVersion using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_SecureVersion must be specified if op_SecureVersion is specified.
:type val_f_SecureVersion: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_SecureVersion: If op_SecureVersion is specified, this value will be compared to the value in SecureVersion using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_SecureVersion must be specified if op_SecureVersion is specified.
:type val_c_SecureVersion: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_UseGlobalPolFreq: The operator to apply to the field UseGlobalPolFreq. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. UseGlobalPolFreq: A flag indicating if Global Polling Frequency should be used instead Device Group Polling Frequency. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_UseGlobalPolFreq: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_UseGlobalPolFreq: If op_UseGlobalPolFreq is specified, the field named in this input will be compared to the value in UseGlobalPolFreq using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_UseGlobalPolFreq must be specified if op_UseGlobalPolFreq is specified.
:type val_f_UseGlobalPolFreq: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_UseGlobalPolFreq: If op_UseGlobalPolFreq is specified, this value will be compared to the value in UseGlobalPolFreq using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_UseGlobalPolFreq must be specified if op_UseGlobalPolFreq is specified.
:type val_c_UseGlobalPolFreq: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceGroupID: The internal NetMRI identifier of the device groups to which to limit the results.
:type DeviceGroupID: Array of Integer
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param timestamp: The data returned will represent the device settings as of this date and time. If omitted, the result will indicate the most recently collected data.
:type timestamp: DateTime
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param methods: A list of device setting methods. The listed methods will be called on each device setting returned and included in the output. Available methods are: data_source.
:type methods: Array of String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param include: A list of associated object types to include in the output. The listed associations will be returned as outputs named according to the association name (see outputs below). Available includes are: data_source.
:type include: Array of String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` 0
:param start: The record number to return in the selected page of data. It will always appear, although it may not be the first record. See the :limit for more information.
:type start: Integer
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` 1000
:param limit: The size of the page of data, that is, the maximum number of records returned. The limit size will be used to break the data up into pages and the first page with the start record will be returned. So if you have 100 records and use a :limit of 10 and a :start of 10, you will get records 10-19. The maximum limit is 10000.
:type limit: Integer
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` DeviceID
:param sort: The data field(s) to use for sorting the output. Default is DeviceID. Valid values are DataSourceID, DeviceID, DevSetStartTime, DevSetEndTime, DevSetChangedCols, DevSetTimestamp, DeviceSNMPVersion, DeviceSNMP3AuthProto, DeviceSNMP3PrivProto, DeviceSNMPTimestamp, DeviceSNMPCommunityReadSource, DeviceRespTime, DeviceRank, DeviceConfigLockLastChangeBy, DeviceConfigLockLastChangedTime, DeviceConfigLockedInd, DevicePrivilegedPollingInd, DeviceSNMPPollingInd, DeviceCLIPollingInd, DeviceConfigPollingInd, DevicePortScanningInd, DeviceSNMPAnalysisInd, DeviceFingerPrintInd, DeviceCCSCollectionInd, DeviceVendorDefaultCollectionInd, DeviceStandardsComplianceInd, DeviceLicensedInd, DeviceManagedInd, DeviceNetBIOSScanningInd, DevicePerfEnvPollingInd, SPMLicensedInd, ARPCacheRefreshInd, DeviceCommunitySecure, DeviceSNMPCommunityReadSecure, DeviceSNMPCommunityWriteSecure, DeviceSNMP3AuthPWSecure, DeviceSNMP3PrivPWSecure, SecureVersion, SAMLicensedInd, UseGlobalPolFreq, PolFreqModifier.
:type sort: Array of String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` asc
:param dir: The direction(s) in which to sort the data. Default is 'asc'. Valid values are 'asc' and 'desc'.
:type dir: Array of String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param select: The list of attributes to return for each DeviceSetting. Valid values are DataSourceID, DeviceID, DevSetStartTime, DevSetEndTime, DevSetChangedCols, DevSetTimestamp, DeviceSNMPVersion, DeviceSNMP3AuthProto, DeviceSNMP3PrivProto, DeviceSNMPTimestamp, DeviceSNMPCommunityReadSource, DeviceRespTime, DeviceRank, DeviceConfigLockLastChangeBy, DeviceConfigLockLastChangedTime, DeviceConfigLockedInd, DevicePrivilegedPollingInd, DeviceSNMPPollingInd, DeviceCLIPollingInd, DeviceConfigPollingInd, DevicePortScanningInd, DeviceSNMPAnalysisInd, DeviceFingerPrintInd, DeviceCCSCollectionInd, DeviceVendorDefaultCollectionInd, DeviceStandardsComplianceInd, DeviceLicensedInd, DeviceManagedInd, DeviceNetBIOSScanningInd, DevicePerfEnvPollingInd, SPMLicensedInd, ARPCacheRefreshInd, DeviceCommunitySecure, DeviceSNMPCommunityReadSecure, DeviceSNMPCommunityWriteSecure, DeviceSNMP3AuthPWSecure, DeviceSNMP3PrivPWSecure, SecureVersion, SAMLicensedInd, UseGlobalPolFreq, PolFreqModifier. If empty or omitted, all attributes will be returned.
:type select: Array
| ``api version min:`` 2.8
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param goto_field: The field name for NIOS GOTO that is used for locating a row position of records.
:type goto_field: String
| ``api version min:`` 2.8
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param goto_value: The value of goto_field for NIOS GOTO that is used for locating a row position of records.
:type goto_value: String
| ``api version min:`` 2.3
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param xml_filter: A SetFilter XML structure to further refine the search. The SetFilter will be applied AFTER any search query or field values, but before any limit options. The limit and pagination will be enforced after the filter. Remind that this kind of filter may be costly and inefficient if not associated with a database filtering.
:type xml_filter: String
**Outputs**
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:return device_settings: An array of the DeviceSetting objects that match the specified input criteria.
:rtype device_settings: Array of DeviceSetting
"""
return self.api_list_request(self._get_method_fullname("find"), kwargs)
def data_source(self, **kwargs):
"""The collector NetMRI that collected this data record.
**Inputs**
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` True
| ``default:`` None
:param DeviceID: The internal NetMRI identifier of each device from which device setting was collected.
:type DeviceID: Integer
**Outputs**
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:return : The collector NetMRI that collected this data record.
:rtype : DataSource
"""
return self.api_request(self._get_method_fullname("data_source"), kwargs)
| 60.809682
| 1,310
| 0.646762
| 14,529
| 128,126
| 5.648565
| 0.027393
| 0.0619
| 0.040235
| 0.070186
| 0.963871
| 0.962872
| 0.918933
| 0.903653
| 0.898462
| 0.897183
| 0
| 0.004983
| 0.277992
| 128,126
| 2,107
| 1,311
| 60.809682
| 0.882162
| 0.848766
| 0
| 0
| 0
| 0
| 0.051487
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.384615
| false
| 0
| 0.076923
| 0
| 1
| 0
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| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
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|
0
| 10
|
e7564bb09b5b3f02110e7481fa5b750dce9871aa
| 42,095
|
py
|
Python
|
convex_code/experiment_epsilon_final.py
|
theUltraMarine19/ChocoSGD
|
46e375422e1c1059c2dd0304a17a4ab0631c8c40
|
[
"Apache-2.0"
] | null | null | null |
convex_code/experiment_epsilon_final.py
|
theUltraMarine19/ChocoSGD
|
46e375422e1c1059c2dd0304a17a4ab0631c8c40
|
[
"Apache-2.0"
] | null | null | null |
convex_code/experiment_epsilon_final.py
|
theUltraMarine19/ChocoSGD
|
46e375422e1c1059c2dd0304a17a4ab0631c8c40
|
[
"Apache-2.0"
] | null | null | null |
import argparse
import multiprocessing as mp
import os
import pickle
from sklearn.datasets import load_svmlight_file
import numpy as np
from logistic import LogisticDecentralizedSGD
from parameters import Parameters
from utils import pickle_it
from experiment import run_logistic, run_experiment
A, b = None, None
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument('experiment', type=str)
args = parser.parse_args()
print(args)
assert args.experiment in ['final']
dataset_path = os.path.expanduser('../data/epsilon.joblib')
n, d = 400000, 2000
###############################################
### RANDOM DATA PARTITION #####################
###############################################
n_cores = 40
################### FINAL ################################
# split_way = 'random'
# split_name = split_way
# num_epoch = 10
# n_repeat = 5
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [
# Parameters(name="decentralized-exact", num_epoch=num_epoch,
# lr_type='decay', initial_lr=0.1, tau=d,
# regularizer=1 / n, quantization='full',
# n_cores=n_cores, method='plain',
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology='ring', estimate='final'),
# ]
# run_experiment("dump/epsilon-final-decentralized-" + split_way + "-" +\
# str(n_cores) + "/", dataset_path, params, nproc=10)
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [
# Parameters(name="centralized", num_epoch=num_epoch,
# lr_type='decay', initial_lr=0.1, tau=d,
# regularizer=1 / n, quantization='full',
# n_cores=n_cores, method='plain',
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology='centralized', estimate='final')]
# run_experiment("dump/epsilon-final-centralized-" + split_way + "-" + str(n_cores)\
# + "/", dataset_path, params, nproc=10)
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [
# Parameters(name="decentralized-top-20", num_epoch=num_epoch,
# lr_type='decay', initial_lr=0.1, tau=d,
# regularizer=1 / n, consensus_lr=0.04,
# quantization='top', coordinates_to_keep=20,
# n_cores=n_cores, method='choco', topology='ring',
# estimate='final', split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name)]
# run_experiment("dump/epsilon-final-choco-top-20-" + split_way + "-" + str(n_cores)\
# + "/", dataset_path, params, nproc=10)
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [
# Parameters(name="decentralized-random-20", num_epoch=num_epoch,
# lr_type='decay', initial_lr=0.1, tau=d,
# regularizer=1 / n, consensus_lr=0.01,
# quantization='random-biased', coordinates_to_keep=20,
# n_cores=n_cores, method='choco', topology='ring',
# estimate='final', split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name)]
# run_experiment("dump/epsilon-final-choco-random-20-" + split_way+ "-" + str(n_cores)\
# + "/", dataset_path, params, nproc=10)
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [
# Parameters(name="decentralized-qsgd-8", num_epoch=num_epoch,
# lr_type='decay', initial_lr=0.1, tau=d,
# regularizer=1 / n, consensus_lr=0.34,
# quantization='qsgd-biased', num_levels=16,
# n_cores=n_cores, method='choco', topology='ring',
# estimate='final', split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name)]
# run_experiment("dump/epsilon-final-choco-qsgd-4bit-" + split_way + "-" + str(n_cores)\
# + "/", dataset_path, params, nproc=10)
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [Parameters(name="dcd-psgd-random-20",
# num_epoch=num_epoch, lr_type='decay',
# initial_lr=1e-15, tau=d, regularizer=1 / n,
# quantization='random-unbiased', coordinates_to_keep=20,
# n_cores=n_cores, method='dcd-psgd',
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology='ring', estimate='final')]
# run_experiment("dump/epsilon-final-dcd-random-20-" + split_way + "-" + str(n_cores)\
# + "/", dataset_path, params, nproc=10)
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [Parameters(name="ecd-psgd-random", num_epoch=num_epoch,
# lr_type='decay', initial_lr=1e-6, tau=d,
# regularizer=1 / n, consensus_lr=None,
# quantization='random-unbiased',
# coordinates_to_keep=20, n_cores=n_cores,
# method='ecd-psgd', split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology='ring', estimate='final')]
# run_experiment("dump/epsilon-final-ecd-random-20-" + split_way + "-" + str(n_cores)\
# + "/", dataset_path, params, nproc=10)
# ###################### qsgd quantization #####################################
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [Parameters(name="dcd-psgd-qsgd", num_epoch=num_epoch,
# lr_type='decay', initial_lr=0.01, tau=d,
# regularizer=1 / n, quantization='qsgd-unbiased',
# num_levels=16, n_cores=n_cores, method='dcd-psgd',
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology='ring', estimate='final')]
# run_experiment("dump/epsilon-final-dcd-qsgd-4bit-" + split_way + "-" + str(n_cores)\
# + "/", dataset_path, params, nproc=10)
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [Parameters(name="ecd-psgd-qsgd", num_epoch=num_epoch,
# lr_type='decay', initial_lr=1e-06, tau=d,
# regularizer=1 / n, quantization='qsgd-unbiased',
# num_levels=16, n_cores=n_cores, method='ecd-psgd',
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology='ring', estimate='final')]
# run_experiment("dump/epsilon-final-ecd-qsgd-4bit-" + split_way + "-" + str(n_cores)\
# + "/", dataset_path, params, nproc=10)
###############################################
### SORTED DATA PARTITION #####################
###############################################
################################ FINAL ####################################
split_way = 'sorted'
split_name = split_way
if split_way == 'sorted':
split_name = 'label-sorted'
n_repeat = 5
num_epoch = 10
# # D-PSGD on ring topology (1 round of ring-reduce) with top 1%
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [
# Parameters(name="decentralized-top-20", num_epoch=num_epoch,
# lr_type='decay', initial_lr=0.1, tau=d,
# regularizer=1 / n, quantization='top',
# coordinates_to_keep=20,
# n_cores=n_cores, method='plain',
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology='ring', estimate='final')]
# run_experiment("dump/epsilon-final-decentralized-ring-" + split_way+ "-" + str(n_cores)\
# + "/", dataset_path, params, nproc=10)
# # D-PSGD on ring topology (1 round of ring-reduce) with random 1%
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [
# Parameters(name="decentralized-random", num_epoch=num_epoch,
# lr_type='decay', initial_lr=0.1, tau=d,
# regularizer=1 / n, quantization='random-unbiased',
# coordinates_to_keep=20,
# n_cores=n_cores, method='plain',
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology='ring', estimate='final')]
# run_experiment("dump/epsilon-final-decentralized-ring-" + split_way+ "-" + str(n_cores)\
# + "/", dataset_path, params, nproc=10)
# # ChocoSGD on ring topology with top 1%
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [
# Parameters(name="decentralized-top-20", num_epoch=num_epoch,
# lr_type='decay', initial_lr=0.1, tau=d,
# regularizer=1 / n, quantization='top',
# consensus_lr=0.04, coordinates_to_keep=20,
# n_cores=n_cores, method='choco',
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology='ring', estimate='final',
# random_seed=40 + random_seed)]
# run_experiment("dump/epsilon-final-choco-top-20-ring-" + split_way+ "-" + str(n_cores) + "/",
# dataset_path, params, nproc=10)
# # ChocoSGD on ring topology with random-unbiased 1%
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [
# Parameters(name="decentralized-random-un-20", num_epoch=num_epoch,
# lr_type='decay', initial_lr=0.1, tau=d,
# regularizer=1 / n, quantization='random-unbiased',
# consensus_lr=0.01, coordinates_to_keep=20,
# n_cores=n_cores, method='choco',
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology='ring', estimate='final',
# random_seed=60 + random_seed)]
# run_experiment("dump/epsilon-final-choco-random-20-" + split_way+ "-" + str(n_cores) + "/",
# dataset_path, params, nproc=10)
# # ChocoSGD on ring topology with random-biased 1%
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [
# Parameters(name="decentralized-random-20", num_epoch=num_epoch,
# lr_type='decay', initial_lr=0.1, tau=d,
# regularizer=1 / n, quantization='random-biased',
# consensus_lr=0.01, coordinates_to_keep=20,
# n_cores=n_cores, method='choco',
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology='ring', estimate='final',
# random_seed=60 + random_seed)]
# run_experiment("dump/epsilon-final-choco-random-20-" + split_way+ "-" + str(n_cores) + "/",
# dataset_path, params, nproc=10)
# # DCD-PSGD on ring topology with random 1%
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [Parameters(name="dcd-psgd-random-20", num_epoch=num_epoch,
# lr_type='decay', initial_lr=1e-15, tau=d,
# regularizer=1 / n, quantization='random-unbiased',
# coordinates_to_keep=20,
# n_cores=n_cores, method='dcd-psgd',
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology='ring', estimate='final')]
# run_experiment("dump/epsilon-final-dcd-random-20-" + split_way + "-" + str(n_cores) + "/",
# dataset_path, params, nproc=10)
# # ECD-PSGD on ring topology with random 1%
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [Parameters(name="ecd-psgd-random", num_epoch=num_epoch,
# lr_type='decay', initial_lr=1e-10, tau=d,
# regularizer=1 / n, quantization='random-unbiased',
# coordinates_to_keep=20,
# n_cores=n_cores, method='ecd-psgd',
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology='ring', estimate='final')]
# run_experiment("dump/epsilon-final-ecd-random-20-" + split_way + "-" + str(n_cores) + "/",
# dataset_path, params, nproc=10)
###################### qsgd quantization #####################################
# # D-PSGD on ring topology (1 round of ring-reduce) with qsgd 4-bit
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [
# Parameters(name="dpsgd-qsgd-4-unbiased", num_epoch=num_epoch,
# lr_type='decay', initial_lr=0.1, tau=d,
# regularizer=1 / n, quantization='qsgd-unbiased',
# num_levels=16,
# n_cores=n_cores, method='plain',
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology='ring', estimate='final')]
# run_experiment("dump/epsilon-final-decentralized-ring-" + split_way+ "-" + str(n_cores)\
# + "/", dataset_path, params, nproc=10)
# # D-PSGD on ring topology (1 round of ring-reduce) with qsgd 8-bit
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [
# Parameters(name="dpsgd-qsgd-8-unbiased", num_epoch=num_epoch,
# lr_type='decay', initial_lr=0.1, tau=d,
# regularizer=1 / n, quantization='qsgd-unbiased',
# num_levels=256,
# n_cores=n_cores, method='plain',
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology='ring', estimate='final')]
# run_experiment("dump/epsilon-final-decentralized-ring-" + split_way+ "-" + str(n_cores)\
# + "/", dataset_path, params, nproc=10)
# # ChocoSGD with 4-bit biased quantization
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [
# Parameters(name="decentralized-qsgd-4-biased", num_epoch=num_epoch,
# lr_type='decay', initial_lr=0.1, tau=d,
# regularizer=1 / n, quantization='qsgd-biased',
# consensus_lr=0.34, num_levels=16,
# n_cores=n_cores, method='choco',
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology='ring', estimate='final')]
# run_experiment("dump/epsilon-final-choco-qsgd-4bit-" + split_way + "-" + str(n_cores) + "/",
# dataset_path, params, nproc=10)
# # ChocoSGD with 4-bit unbiased quantization
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [
# Parameters(name="decentralized-qsgd-4-unbiased", num_epoch=num_epoch,
# lr_type='decay', initial_lr=0.1, tau=d,
# regularizer=1 / n, quantization='qsgd-unbiased',
# consensus_lr=0.34, num_levels=16,
# n_cores=n_cores, method='choco',
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology='ring', estimate='final')]
# run_experiment("dump/epsilon-final-choco-qsgd-4bit-" + split_way + "-" + str(n_cores) + "/",
# dataset_path, params, nproc=10)
# # DCD-PSGD with 4-bit unbiased qunatization
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [Parameters(name="dcd-psgd-qsgd-4", num_epoch=num_epoch,
# lr_type='decay', initial_lr=0.01, tau=d,
# regularizer=1 / n, quantization='qsgd-unbiased',
# num_levels=16,
# n_cores=n_cores, method='dcd-psgd',
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology='ring', estimate='final', )]
# run_experiment("dump/epsilon-final-dcd-qsgd-4bit-" + split_way + "-" + str(n_cores) + "/",
# dataset_path, params, nproc=10)
# # ECD-PSGD with 4-bit unbiased qunatization
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [Parameters(name="ecd-psgd-qsgd-4", num_epoch=num_epoch,
# lr_type='decay', initial_lr=1e-12, tau=d,
# regularizer=1 / n, quantization='qsgd-unbiased',
# num_levels=16,
# n_cores=n_cores, method='ecd-psgd',
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology='ring', estimate='final')]
# run_experiment("dump/epsilon-final-ecd-qsgd-4bit-" + split_way + "-" + str(n_cores) + "/",
# dataset_path, params, nproc=10)
# # ChocoSGD with 8-bit biased quantization
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [
# Parameters(name="decentralized-qsgd-8-biased", num_epoch=num_epoch,
# lr_type='decay', initial_lr=0.1, tau=d,
# regularizer=1 / n, quantization='qsgd-biased',
# consensus_lr=0.34, num_levels=256,
# n_cores=n_cores, method='choco',
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology='ring', estimate='final')]
# run_experiment("dump/epsilon-final-choco-qsgd-4bit-" + split_way + "-" + str(n_cores) + "/",
# dataset_path, params, nproc=10)
# # DCD-PSGD with 8-bit unbiased qunatization
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [Parameters(name="dcd-psgd-qsgd-8", num_epoch=num_epoch,
# lr_type='decay', initial_lr=0.01, tau=d,
# regularizer=1 / n, quantization='qsgd-unbiased',
# num_levels=256,
# n_cores=n_cores, method='dcd-psgd',
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology='ring', estimate='final', )]
# run_experiment("dump/epsilon-final-dcd-qsgd-4bit-" + split_way + "-" + str(n_cores) + "/",
# dataset_path, params, nproc=10)
# # ECD-PSGD with 8-bit unbiased qunatization
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [Parameters(name="ecd-psgd-qsgd-8", num_epoch=num_epoch,
# lr_type='decay', initial_lr=1e-12, tau=d,
# regularizer=1 / n, quantization='qsgd-unbiased',
# num_levels=256,
# n_cores=n_cores, method='ecd-psgd',
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology='ring', estimate='final')]
# run_experiment("dump/epsilon-final-ecd-qsgd-4bit-" + split_way + "-" + str(n_cores) + "/",
# dataset_path, params, nproc=10)
############## Comparison among all algorithms ###################################
# D-PSGD on ring topology (1 round of ring-reduce)
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [
# Parameters(name="dpgd-top", num_epoch=num_epoch,
# lr_type='decay', initial_lr=0.1, tau=d,
# regularizer=1 / n, quantization='top',
# coordinates_to_keep=20,
# n_cores=n_cores, method='plain',
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology='ring', estimate='final')]
# run_experiment("dump/epsilon-final-decentralized-ring-" + split_way+ "-" + str(n_cores)\
# + "/", dataset_path, params, nproc=10)
# # D-PSGD on ring topology (1 round of ring-reduce)
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [
# Parameters(name="dpsgd-random", num_epoch=num_epoch,
# lr_type='decay', initial_lr=0.1, tau=d,
# regularizer=1 / n, quantization='random-unbiased',
# coordinates_to_keep=20,
# n_cores=n_cores, method='plain',
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology='ring', estimate='final')]
# run_experiment("dump/epsilon-final-decentralized-ring-" + split_way+ "-" + str(n_cores)\
# + "/", dataset_path, params, nproc=10)
# # D-PSGD on ring topology (1 round of ring-reduce)
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [
# Parameters(name="dpsgd-qsgd", num_epoch=num_epoch,
# lr_type='decay', initial_lr=0.1, tau=d,
# regularizer=1 / n, quantization='qsgd-unbiased',
# num_levels=16,
# n_cores=n_cores, method='plain',
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology='ring', estimate='final')]
# run_experiment("dump/epsilon-final-decentralized-ring-" + split_way+ "-" + str(n_cores)\
# + "/", dataset_path, params, nproc=10)
# # All-Reduce SGD (Param-server like)
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [
# Parameters(name="centralized-random", num_epoch=num_epoch,
# lr_type='decay', initial_lr=0.1, tau=d,
# regularizer=1 / n, quantization='random-unbiased',
# coordinates_to_keep=20,
# n_cores=n_cores, method='plain',
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology='centralized', estimate='final')]
# run_experiment("dump/epsilon-final-centralized-" + split_way+ "-" + str(n_cores)\
# + "/", dataset_path, params, nproc=10)
# # All-Reduce SGD (Param-server like)
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [
# Parameters(name="centralized-top", num_epoch=num_epoch,
# lr_type='decay', initial_lr=0.1, tau=d,
# regularizer=1 / n, quantization='top',
# coordinates_to_keep=20,
# n_cores=n_cores, method='plain',
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology='centralized', estimate='final')]
# run_experiment("dump/epsilon-final-centralized-" + split_way+ "-" + str(n_cores)\
# + "/", dataset_path, params, nproc=10)
# # All-Reduce SGD (Param-server like)
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [
# Parameters(name="centralized-qsgd", num_epoch=num_epoch,
# lr_type='decay', initial_lr=0.1, tau=d,
# regularizer=1 / n, quantization='qsgd-unbiased',
# num_levels=16,
# n_cores=n_cores, method='plain',
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology='centralized', estimate='final')]
# run_experiment("dump/epsilon-final-centralized-" + split_way+ "-" + str(n_cores)\
# + "/", dataset_path, params, nproc=10)
# # EAMSGD on fully-connected topology (Sync)
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [
# Parameters(name="EAMSGD-sync", num_epoch=num_epoch,
# lr_type='decay', initial_lr=0.1, tau=d,
# regularizer=1 / n, quantization='full',
# n_cores=n_cores, method='ea-sgd',
# momentum=0.9, comm_period=1, elasticity=0.9/(n_cores*0.1),
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology='centralized', estimate='final')]
# run_experiment("dump/epsilon-final-decentralized-ring-" + split_way+ "-" + str(n_cores)\
# + "/", dataset_path, params, nproc=10)
# # EAMSGD on fully-connected topology (Sync) -constant lr
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [
# Parameters(name="EAMSGD-sync", num_epoch=num_epoch,
# lr_type='constant', initial_lr=0.1,
# regularizer=1 / n, quantization='full',
# n_cores=n_cores, method='ea-sgd',
# momentum=0.9, comm_period=1, elasticity=0.9/(n_cores*0.1),
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology='centralized', estimate='final')]
# run_experiment("dump/epsilon-final-decentralized-ring-" + split_way+ "-" + str(n_cores)\
# + "/", dataset_path, params, nproc=10)
# EAMSGD on fully-connected topology (Async)
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [
# Parameters(name="EAMSGD-async", num_epoch=num_epoch,
# lr_type='constant', initial_lr=0.1,
# regularizer=1 / n, quantization='full',
# n_cores=n_cores, method='ea-sgd',
# momentum=0.9, comm_period=16, elasticity=0.9/(n_cores*0.1),
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology='centralized', estimate='final')]
# run_experiment("dump/epsilon-final-decentralized-ring-" + split_way+ "-" + str(n_cores)\
# + "/", dataset_path, params, nproc=10)
# # SGP With momentum on ring topology
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [
# Parameters(name="SGP-top", num_epoch=num_epoch,
# lr_type='decay', initial_lr=0.1, tau=d,
# regularizer=1 / n, quantization='top',
# coordinates_to_keep=20,
# n_cores=n_cores, method='SGP',
# momentum=0.9,
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology='ring', estimate='final')]
# run_experiment("dump/epsilon-final-decentralized-ring-" + split_way+ "-" + str(n_cores)\
# + "/", dataset_path, params, nproc=10)
# # SGP With momentum on ring topology
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [
# Parameters(name="SGP-random", num_epoch=num_epoch,
# lr_type='decay', initial_lr=0.1, tau=d,
# regularizer=1 / n, quantization='random-unbiased',
# coordinates_to_keep=20,
# n_cores=n_cores, method='SGP',
# momentum=0.9,
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology='ring', estimate='final')]
# run_experiment("dump/epsilon-final-decentralized-ring-" + split_way+ "-" + str(n_cores)\
# + "/", dataset_path, params, nproc=10)
# # SGP With momentum on ring topology
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [
# Parameters(name="SGP-qsgd", num_epoch=num_epoch,
# lr_type='decay', initial_lr=0.1, tau=d,
# regularizer=1 / n, quantization='qsgd-unbiased',
# num_levels=16,
# n_cores=n_cores, method='SGP',
# momentum=0.9,
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology='ring', estimate='final')]
# run_experiment("dump/epsilon-final-decentralized-ring-" + split_way+ "-" + str(n_cores)\
# + "/", dataset_path, params, nproc=10)
# # SGP With momentum on ring topology with different lr
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [
# Parameters(name="SGP-ImageNet", num_epoch=num_epoch,
# lr_type='epoch-decay', epoch_decay_lr=0.93, initial_lr=0.1,
# regularizer=1 / n, quantization='full',
# n_cores=n_cores, method='SGP',
# momentum=0.9,
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology='ring', estimate='final')]
# run_experiment("dump/epsilon-final-decentralized-ring-" + split_way+ "-" + str(n_cores)\
# + "/", dataset_path, params, nproc=10)
# AD-PSGD on ring topology
if args.experiment in ['final']:
params = []
for random_seed in np.arange(1, n_repeat + 1):
params += [
Parameters(name="AD-PSGD", num_epoch=num_epoch,
lr_type='decay', initial_lr=0.1, tau=d,
regularizer=1 / n, quantization='full',
# coordinates_to_keep=20,
n_cores=n_cores, method='ad-psgd',
split_data_random_seed=random_seed,
distribute_data=True, split_data_strategy=split_name,
topology='ring', estimate='final')]
run_experiment("dump/epsilon-final-decentralized-ring-" + split_way+ "-" + str(n_cores)\
+ "/", dataset_path, params, nproc=10)
# AD-PSGD on ring topology
if args.experiment in ['final']:
params = []
for random_seed in np.arange(1, n_repeat + 1):
params += [
Parameters(name="AD-PSGD-random", num_epoch=num_epoch,
lr_type='decay', initial_lr=0.1, tau=d,
regularizer=1 / n, quantization='random-unbiased',
coordinates_to_keep=20,
n_cores=n_cores, method='ad-psgd',
split_data_random_seed=random_seed,
distribute_data=True, split_data_strategy=split_name,
topology='ring', estimate='final')]
run_experiment("dump/epsilon-final-decentralized-ring-" + split_way+ "-" + str(n_cores)\
+ "/", dataset_path, params, nproc=10)
# AD-PSGD on ring topology
if args.experiment in ['final']:
params = []
for random_seed in np.arange(1, n_repeat + 1):
params += [
Parameters(name="AD-PSGD-qsgd", num_epoch=num_epoch,
lr_type='decay', initial_lr=0.1, tau=d,
regularizer=1 / n, quantization='qsgd-unbiased',
num_levels=16,
n_cores=n_cores, method='ad-psgd',
split_data_random_seed=random_seed,
distribute_data=True, split_data_strategy=split_name,
topology='ring', estimate='final')]
run_experiment("dump/epsilon-final-decentralized-ring-" + split_way+ "-" + str(n_cores)\
+ "/", dataset_path, params, nproc=10)
############################# Topo and #workers ###################################
# for workers in [36, 25, 16, 9]:
# for topo in ['centralized', 'ring', 'torus', 'disconnected', 'partly-connected']:
# # D-PSGD on ring topology (1 round of ring-reduce)
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [
# Parameters(name="dpsgd-exact-"+topo+str(workers)+"-", num_epoch=num_epoch,
# lr_type='decay', initial_lr=0.1, tau=d,
# regularizer=1 / n, quantization='full',
# n_cores=workers, method='plain',
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology=topo, estimate='final')]
# run_experiment("dump/epsilon-final-decentralized-ring-" + split_way+ "-" + str(n_cores)\
# + "/", dataset_path, params, nproc=10)
# # ChocoSGD with 4-bit biased quantization
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [
# Parameters(name="Choco-qsgd-"+topo+str(workers)+"-", num_epoch=num_epoch,
# lr_type='decay', initial_lr=0.1, tau=d,
# regularizer=1 / n, quantization='qsgd-biased',
# consensus_lr=0.34, num_levels=16,
# n_cores=workers, method='choco',
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology=topo, estimate='final')]
# run_experiment("dump/epsilon-final-choco-qsgd-4bit-" + split_way + "-" + str(n_cores) + "/",
# dataset_path, params, nproc=10)
# # ChocoSGD with random-biased 1%
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [
# Parameters(name="Choco-random-"+topo+str(workers)+"-", num_epoch=num_epoch,
# lr_type='decay', initial_lr=0.1, tau=d,
# regularizer=1 / n, quantization='random-biased',
# consensus_lr=0.01, coordinates_to_keep=20,
# n_cores=workers, method='choco',
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology=topo, estimate='final',
# random_seed=60 + random_seed)]
# run_experiment("dump/epsilon-final-choco-random-20-" + split_way+ "-" + str(n_cores) + "/",
# dataset_path, params, nproc=10)
# # SGP With momentum
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [
# Parameters(name="SGP-"+topo+str(workers)+"-", num_epoch=num_epoch,
# lr_type='decay', initial_lr=0.1, tau=d,
# regularizer=1 / n, quantization='full',
# n_cores=workers, method='SGP',
# momentum=0.9,
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology=topo, estimate='final')]
# run_experiment("dump/epsilon-final-decentralized-ring-" + split_way+ "-" + str(n_cores)\
# + "/", dataset_path, params, nproc=10)
# # AD-PSGD
# if args.experiment in ['final']:
# params = []
# for random_seed in np.arange(1, n_repeat + 1):
# params += [
# Parameters(name="AD-PSGD-"+topo+str(workers)+"-", num_epoch=num_epoch,
# lr_type='decay', initial_lr=0.1, tau=d,
# regularizer=1 / n, quantization='full',
# n_cores=workers, method='ad-psgd',
# split_data_random_seed=random_seed,
# distribute_data=True, split_data_strategy=split_name,
# topology=topo, estimate='final')]
# run_experiment("dump/epsilon-final-decentralized-ring-" + split_way+ "-" + str(n_cores)\
# + "/", dataset_path, params, nproc=10)
| 52.883166
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0
| 7
|
e7bac6909986c04f4dad15bb68d40d9eae2fdfbe
| 35,472
|
py
|
Python
|
examples/clusters/Plotting/ExoplanetsSysSim_optimize_plotting.py
|
keirtheashby/ExoplanetsSysSim.jl-1
|
b039911a7bd6ab8df40766baed526d65c6d07652
|
[
"MIT"
] | 1
|
2019-10-07T13:47:40.000Z
|
2019-10-07T13:47:40.000Z
|
examples/clusters/Plotting/ExoplanetsSysSim_optimize_plotting.py
|
keirtheashby/ExoplanetsSysSim.jl-1
|
b039911a7bd6ab8df40766baed526d65c6d07652
|
[
"MIT"
] | 6
|
2018-02-23T15:47:33.000Z
|
2018-09-07T19:08:29.000Z
|
examples/clusters/Plotting/ExoplanetsSysSim_optimize_plotting.py
|
keirtheashby/ExoplanetsSysSim.jl-1
|
b039911a7bd6ab8df40766baed526d65c6d07652
|
[
"MIT"
] | 5
|
2017-10-12T00:03:37.000Z
|
2019-04-21T22:43:31.000Z
|
#To import required modules:
import numpy as np
import time
import matplotlib
import matplotlib.cm as cm #for color maps
import matplotlib.pyplot as plt
from matplotlib.gridspec import GridSpec #for specifying plot attributes
from matplotlib import ticker #for setting contour plots to log scale
import scipy.integrate #for numerical integration
import scipy.misc #for factorial function
#matplotlib.rc('text', usetex=True)
##### This module will be used to plot simulated data generated from the ExoplanetsSysSim (Eric's version of the clustering method)
#To define some useful constants:
AU = 1.496*10.**13. #AU in cm
Msun = 1.989*10.**30. #Solar mass in kg
Rsun = 6.957*10.**10. #Solar radius in cm
Rearth = 6.371*10.**8. #Earth radius in cm
#CHECK THESE NUMBERS!!!
Nstars_Kepler = 150061.
Nstars_sim = 150061.
Nplanets_Kepler = 2712.
cos_factor = np.cos(80.*np.pi/180.) #####
savefigures = False
savefigures_directory = 'Clustering_Method_Figures/ExoplanetsSysSim/'
model_name = 'ExoplanetsSysSim_Clustered_Model'
##### To load arrays/grids with model fit statistics (including KS distances):
#NOTE: in Julia, saving a 2D array into a file actually transposes the array! Thus the naming '...A_B_grid' actually refers to the varied parameters on the x (cols) and y (rows) of the saved arrays respectively; we will transpose them back after loading so that A refers to the parameter along y (rows) and B refers to the parameter along x (cols)
'''
Model_stats_P_r_grid = [] #list to be filled with grids (2D arrays) of model statistics
with open('Clustering_Method_Figures/ExoplanetsSysSim/Power_law_r/Model_stats_P_r_grid.out', 'r') as file: #ExoplanetsSysSim.jl-master/examples/clusters/
for line in file:
if line[0] != '#':
grid = [] #list to be filled with lists (rows of the grid)
line = line[1:-2]
line_per_row = line.split('; ')
#print len(line_per_sys)
for x in line_per_row:
run_list = x.split()
run_list = [float(i) for i in run_list]
grid.append(run_list)
grid = np.transpose(np.array(grid))
Model_stats_P_r_grid.append(grid)
print np.shape(grid)
Model_stats_P_r_grid = np.array(Model_stats_P_r_grid)
'''
#'''
Model_stats_Nhill_sigma_grid = [] #list to be filled with grids (2D arrays) of model statistics
with open('Clustering_Method_Figures/ExoplanetsSysSim/Power_law_r1_r2_sigma_r/Model_stats_Nhill_sigmaP_grid.out', 'r') as file:
for line in file:
if line[0] != '#':
grid = [] #list to be filled with lists (rows of the grid)
line = line[1:-2]
line_per_row = line.split('; ')
#print len(line_per_sys)
for x in line_per_row:
run_list = x.split()
run_list = [float(i) for i in run_list]
grid.append(run_list)
grid = np.transpose(np.array(grid))
Model_stats_Nhill_sigma_grid.append(grid)
print np.shape(grid)
Model_stats_Nhill_sigma_grid = np.array(Model_stats_Nhill_sigma_grid)
#'''
#'''
Model_stats_sigma_incl_sigma_hk_grid = [] #list to be filled with grids (2D arrays) of model statistics
with open('Clustering_Method_Figures/ExoplanetsSysSim/Power_law_r1_r2_sigma_r/Model_stats_sigma_incl_sigma_hk_grid.out', 'r') as file:
for line in file:
if line[0] != '#':
grid = [] #list to be filled with lists (rows of the grid)
line = line[1:-2]
line_per_row = line.split('; ')
#print len(line_per_sys)
for x in line_per_row:
run_list = x.split()
run_list = [float(i) for i in run_list]
grid.append(run_list)
grid = np.transpose(np.array(grid))
Model_stats_sigma_incl_sigma_hk_grid.append(grid)
print np.shape(grid)
Model_stats_sigma_incl_sigma_hk_grid = np.array(Model_stats_sigma_incl_sigma_hk_grid)
#'''
'''
Model_stats_max_radius_mr_grid = [] #list to be filled with grids (2D arrays) of model statistics
with open('Clustering_Method_Figures/ExoplanetsSysSim/Power_law_r/Model_stats_max_radius_mr_grid.out', 'r') as file:
for line in file:
if line[0] != '#':
grid = [] #list to be filled with lists (rows of the grid)
line = line[1:-2]
line_per_row = line.split('; ')
#print len(line_per_sys)
for x in line_per_row:
run_list = x.split()
run_list = [float(i) for i in run_list]
grid.append(run_list)
grid = np.transpose(np.array(grid))
Model_stats_max_radius_mr_grid.append(grid)
print np.shape(grid)
Model_stats_max_radius_mr_grid = np.array(Model_stats_max_radius_mr_grid)
'''
#'''
Model_stats_mr_sigmaR_grid = [] #list to be filled with grids (2D arrays) of model statistics
with open('Clustering_Method_Figures/ExoplanetsSysSim/Power_law_r1_r2_sigma_r/Model_stats_mr_sigmaR_grid.out', 'r') as file:
for line in file:
if line[0] != '#':
grid = [] #list to be filled with lists (rows of the grid)
line = line[1:-2]
line_per_row = line.split('; ')
#print len(line_per_sys)
for x in line_per_row:
run_list = x.split()
run_list = [float(i) for i in run_list]
grid.append(run_list)
grid = np.transpose(np.array(grid))
Model_stats_mr_sigmaR_grid.append(grid)
print np.shape(grid)
Model_stats_mr_sigmaR_grid = np.array(Model_stats_mr_sigmaR_grid)
#'''
#'''
Model_stats_Nc_Np_grid = [] #list to be filled with grids (2D arrays) of model statistics
with open('Clustering_Method_Figures/ExoplanetsSysSim/Power_law_r1_r2_sigma_r/Model_stats_Nc_Np_grid.out', 'r') as file:
for line in file:
if line[0] != '#':
grid = [] #list to be filled with lists (rows of the grid)
line = line[1:-2]
line_per_row = line.split('; ')
#print len(line_per_sys)
for x in line_per_row:
run_list = x.split()
run_list = [float(i) for i in run_list]
grid.append(run_list)
grid = np.transpose(np.array(grid))
Model_stats_Nc_Np_grid.append(grid)
print np.shape(grid)
Model_stats_Nc_Np_grid = np.array(Model_stats_Nc_Np_grid)
#'''
#'''
Model_stats_r1_r2_grid = [] #list to be filled with grids (2D arrays) of model statistics
with open('Clustering_Method_Figures/ExoplanetsSysSim/Power_law_r1_r2_sigma_r/Model_stats_r1_r2_rbreak2_grid.out', 'r') as file:
for line in file:
if line[0] != '#':
grid = [] #list to be filled with lists (rows of the grid)
line = line[1:-2]
line_per_row = line.split('; ')
#print len(line_per_sys)
for x in line_per_row:
run_list = x.split()
run_list = [float(i) for i in run_list]
grid.append(run_list)
grid = np.transpose(np.array(grid))
Model_stats_r1_r2_grid.append(grid)
print np.shape(grid)
Model_stats_r1_r2_grid = np.array(Model_stats_r1_r2_grid)
#'''
'''
Model_stats_r1_r2_rbreak3_grid = [] #list to be filled with grids (2D arrays) of model statistics
with open('Clustering_Method_Figures/ExoplanetsSysSim/Power_law_r1_r2/Model_stats_r1_r2_rbreak3_grid.out', 'r') as file:
for line in file:
if line[0] != '#':
grid = [] #list to be filled with lists (rows of the grid)
line = line[1:-2]
line_per_row = line.split('; ')
#print len(line_per_sys)
for x in line_per_row:
run_list = x.split()
run_list = [float(i) for i in run_list]
grid.append(run_list)
grid = np.transpose(np.array(grid))
Model_stats_r1_r2_rbreak3_grid.append(grid)
print np.shape(grid)
Model_stats_r1_r2_rbreak3_grid = np.array(Model_stats_r1_r2_rbreak3_grid)
'''
'''
Model_stats_r_sigma_r_grid = [] #list to be filled with grids (2D arrays) of model statistics
with open('Clustering_Method_Figures/ExoplanetsSysSim/Power_law_r_sigma_r/Model_stats_r_sigma_r_grid.out', 'r') as file:
for line in file:
if line[0] != '#':
grid = [] #list to be filled with lists (rows of the grid)
line = line[1:-2]
line_per_row = line.split('; ')
#print len(line_per_sys)
for x in line_per_row:
run_list = x.split()
run_list = [float(i) for i in run_list]
grid.append(run_list)
grid = np.transpose(np.array(grid))
Model_stats_r_sigma_r_grid.append(grid)
print np.shape(grid)
Model_stats_r_sigma_r_grid = np.array(Model_stats_r_sigma_r_grid)
'''
Model_stats_fields = [r'$f_{\rm sim}/f_{\rm Kepler}$', 'K-S multiplicities', 'K-S periods', 'K-S period ratios', 'K-S transit durations', 'K-S xi', 'K-S transit depths', 'K-S transit depth ratios'] #names of the fields associated with the 'Model_stats_...' arrays
'''
##### To plot the 2D arrays of model fit statistics (N_obs, KS multiplicities, KS periods, KS period ratios, KS transit depths, KS xi) on the parameter space grids:
#To plot the 2D arrays of model fit statistics on the grid of 'power_law_P' vs. 'power_law_r':
power_law_P_range = np.linspace(-0.5, 0.5, 11)
power_law_r_range = np.linspace(-3., -1.2, 11)
d_y = np.diff(power_law_P_range)[0]
d_x = np.diff(power_law_r_range)[0]
xmin, xmax, ymin, ymax = power_law_r_range[0] - d_x/2., power_law_r_range[-1] + d_x/2., power_law_P_range[0] - d_y/2., power_law_P_range[-1] + d_y/2.
xy_ratio = (xmax - xmin)/(ymax - ymin)
fig = plt.figure(figsize=(16,8))
plot = GridSpec(2,3,left=0.075,bottom=0.115,right=0.95,top=0.925,wspace=0.15,hspace=0.4)
plot_rows = [0,0,0,1,1,1]
plot_cols = [0,1,2,0,1,2]
for i,name in enumerate(Model_stats_fields):
ax = plt.subplot(plot[plot_rows[i],plot_cols[i]])
plt.title(name, fontsize=20)
data_array = Model_stats_P_r_grid[i]
if i==0:
data_array = (data_array/Nstars_sim)/(Nplanets_Kepler/Nstars_Kepler)
plt.imshow(data_array, aspect=xy_ratio, origin='lower', extent=(xmin, xmax, ymin, ymax))
plt.colorbar()
plt.xlabel(r'power_law_r', fontsize=20)
plt.ylabel(r'power_law_P', fontsize=20)
if savefigures == True:
plt.savefig(savefigures_directory + 'Power_law_r/' + model_name + '_P_r_stats.pdf')
else:
plt.show()
plt.close()
'''
'''
#To plot the 2D arrays of model fit statistics on the grid of 'num_mutual_hill_radii' vs. 'sigma_logperiod_per_pl_in_cluster':
num_mutual_hill_radii_range = np.linspace(5., 20., 11)
sigma_logperiod_per_pl_in_cluster_range = np.linspace(0.05, 0.5, 11)
d_y = np.diff(num_mutual_hill_radii_range)[0]
d_x = np.diff(sigma_logperiod_per_pl_in_cluster_range)[0]
xmin, xmax, ymin, ymax = sigma_logperiod_per_pl_in_cluster_range[0] - d_x/2., sigma_logperiod_per_pl_in_cluster_range[-1] + d_x/2., num_mutual_hill_radii_range[0] - d_y/2., num_mutual_hill_radii_range[-1] + d_y/2.
xy_ratio = (xmax - xmin)/(ymax - ymin)
fig = plt.figure(figsize=(16,8))
plot = GridSpec(2,4,left=0.075,bottom=0.115,right=0.95,top=0.925,wspace=0.15,hspace=0.4)
plot_rows = [0,0,0,0,1,1,1,1]
plot_cols = [0,1,2,3,0,1,2,3]
for i,name in enumerate(Model_stats_fields):
ax = plt.subplot(plot[plot_rows[i],plot_cols[i]])
plt.title(name, fontsize=20)
data_array = Model_stats_Nhill_sigma_grid[i]
if i==0:
data_array = (data_array/Nstars_sim)/(Nplanets_Kepler/Nstars_Kepler)
plt.imshow(data_array, aspect=xy_ratio, origin='lower', extent=(xmin, xmax, ymin, ymax))
plt.colorbar()
plt.xlabel(r'sigma_logperiod_per_pl_in_cluster', fontsize=20)
plt.ylabel(r'num_mutual_hill_radii', fontsize=20)
if savefigures == True:
plt.savefig(savefigures_directory + 'Power_law_r1_r2_sigma_r/' + model_name + '_Nhill_sigma_stats.pdf')
else:
plt.show()
plt.close()
'''
'''
#To plot the 2D arrays of model fit statistics on the grid of 'sigma_incl' vs. 'sigma_hk':
sigma_incl_range = np.linspace(0., 5., 11)
sigma_hk_range = np.linspace(0., 0.2, 11)
d_y = np.diff(sigma_incl_range)[0]
d_x = np.diff(sigma_hk_range)[0]
xmin, xmax, ymin, ymax = sigma_hk_range[0] - d_x/2., sigma_hk_range[-1] + d_x/2., sigma_incl_range[0] - d_y/2., sigma_incl_range[-1] + d_y/2.
xy_ratio = (xmax - xmin)/(ymax - ymin)
fig = plt.figure(figsize=(16,8))
plot = GridSpec(2,4,left=0.075,bottom=0.115,right=0.95,top=0.925,wspace=0.15,hspace=0.4)
plot_rows = [0,0,0,0,1,1,1,1]
plot_cols = [0,1,2,3,0,1,2,3]
for i,name in enumerate(Model_stats_fields):
ax = plt.subplot(plot[plot_rows[i],plot_cols[i]])
plt.title(name, fontsize=20)
data_array = Model_stats_sigma_incl_sigma_hk_grid[i]
if i==0:
data_array = (data_array/Nstars_sim)/(Nplanets_Kepler/Nstars_Kepler)
plt.imshow(data_array, aspect=xy_ratio, origin='lower', extent=(xmin, xmax, ymin, ymax))
plt.colorbar()
plt.xlabel(r'sigma_hk', fontsize=20)
plt.ylabel(r'sigma_incl', fontsize=20)
if savefigures == True:
plt.savefig(savefigures_directory + 'Power_law_r1_r2_sigma_r/' + model_name + '_sigma_incl_sigma_hk_stats.pdf')
else:
plt.show()
plt.close()
'''
'''
#To plot the 2D arrays of model fit statistics on the grid of 'max_radius' vs. 'mr_power_law':
max_radius_range = np.linspace(2., 12., 11)
mr_range = np.linspace(1.5, 3.5, 11)
d_y = np.diff(max_radius_range)[0]
d_x = np.diff(mr_range)[0]
xmin, xmax, ymin, ymax = mr_range[0] - d_x/2., mr_range[-1] + d_x/2., max_radius_range[0] - d_y/2., max_radius_range[-1] + d_y/2.
xy_ratio = (xmax - xmin)/(ymax - ymin)
fig = plt.figure(figsize=(16,8))
plot = GridSpec(2,3,left=0.075,bottom=0.115,right=0.95,top=0.925,wspace=0.15,hspace=0.4)
plot_rows = [0,0,0,1,1,1]
plot_cols = [0,1,2,0,1,2]
for i,name in enumerate(Model_stats_fields):
ax = plt.subplot(plot[plot_rows[i],plot_cols[i]])
plt.title(name, fontsize=20)
data_array = Model_stats_max_radius_mr_grid[i]
if i==0:
data_array = (data_array/Nstars_sim)/(Nplanets_Kepler/Nstars_Kepler)
plt.imshow(data_array, aspect=xy_ratio, origin='lower', extent=(xmin, xmax, ymin, ymax))
plt.colorbar()
plt.xlabel(r'mr_power_law', fontsize=20)
plt.ylabel(r'max_radius (R_earth)', fontsize=20)
if savefigures == True:
plt.savefig(savefigures_directory + 'Power_law_r/' + model_name + '_max_radius_mr_stats.pdf')
else:
plt.show()
plt.close()
'''
'''
#To plot the 2D arrays of model fit statistics on the grid of 'mr_power_law' vs. 'sigma_log_radius_in_cluster':
mr_range = np.linspace(1.5, 3.5, 11)
sigmaR_range = np.linspace(0.1, 1.0, 11)
d_y = np.diff(mr_range)[0]
d_x = np.diff(sigmaR_range)[0]
xmin, xmax, ymin, ymax = sigmaR_range[0] - d_x/2., sigmaR_range[-1] + d_x/2., mr_range[0] - d_y/2., mr_range[-1] + d_y/2.
xy_ratio = (xmax - xmin)/(ymax - ymin)
fig = plt.figure(figsize=(16,8))
plot = GridSpec(2,4,left=0.075,bottom=0.115,right=0.95,top=0.925,wspace=0.15,hspace=0.4)
plot_rows = [0,0,0,0,1,1,1,1]
plot_cols = [0,1,2,3,0,1,2,3]
for i,name in enumerate(Model_stats_fields):
ax = plt.subplot(plot[plot_rows[i],plot_cols[i]])
plt.title(name, fontsize=20)
data_array = Model_stats_mr_sigmaR_grid[i]
if i==0:
data_array = (data_array/Nstars_sim)/(Nplanets_Kepler/Nstars_Kepler)
plt.imshow(data_array, aspect=xy_ratio, origin='lower', extent=(xmin, xmax, ymin, ymax))
plt.colorbar()
plt.xlabel(r'sigma_log_radius_in_cluster', fontsize=20)
plt.ylabel(r'mr_power_law', fontsize=20)
if savefigures == True:
plt.savefig(savefigures_directory + 'Power_law_r1_r2_sigma_r/' + model_name + '_mr_sigmaR_stats.pdf')
else:
plt.show()
plt.close()
'''
'''
#To plot the 2D arrays of model fit statistics on the grid of 'log_rate_clusters' vs. 'log_rate_planets_per_cluster':
Model_stats_fields = [r'$f_{\rm sim}/f_{\rm Kepler}$', 'Number of observed singles', 'K-S multiplicities', 'K-S periods', 'K-S period ratios', 'K-S transit durations', 'K-S xi', 'K-S transit depths', 'K-S transit depth ratios'] #names of the fields associated with the 'Model_stats_...' arrays
Nc_range = np.linspace(1., 5., 11)
Np_range = np.linspace(1., 5., 11)
d_y = np.diff(Nc_range)[0]
d_x = np.diff(Np_range)[0]
xmin, xmax, ymin, ymax = Np_range[0] - d_x/2., Np_range[-1] + d_x/2., Nc_range[0] - d_y/2., Nc_range[-1] + d_y/2.
xy_ratio = (xmax - xmin)/(ymax - ymin)
fig = plt.figure(figsize=(16,8))
plot = GridSpec(3,3,left=0.075,bottom=0.115,right=0.95,top=0.925,wspace=0.25,hspace=0.4)
plot_rows = [0,0,0,1,1,1,2,2,2]
plot_cols = [0,1,2,0,1,2,0,1,2]
for i,name in enumerate(Model_stats_fields):
ax = plt.subplot(plot[plot_rows[i],plot_cols[i]])
plt.title(name, fontsize=20)
data_array = Model_stats_Nc_Np_grid[i]
if i==0:
data_array = (data_array/Nstars_sim)/(Nplanets_Kepler/Nstars_Kepler)
plt.imshow(data_array, aspect=xy_ratio, origin='lower', extent=(xmin, xmax, ymin, ymax))
plt.colorbar()
plt.xlabel(r'rate_planets_per_cluster', fontsize=20)
plt.ylabel(r'rate_clusters', fontsize=20)
if savefigures == True:
plt.savefig(savefigures_directory + 'Power_law_r1_r2_sigma_r/' + model_name + '_Nc_Np_stats.pdf')
else:
plt.show()
plt.close()
'''
'''
##### To re-make each of the above grid plots as single panels for 2nd year paper:
Model_stats_fields = [r'$f_{\rm sim}/f_{\rm Kepler}$', 'Planet Multiplicities', r'$P$', r'$P_{i+1}/P_i$', r'$\delta$', r'$\/xi$'] #names of the fields associated with the 'Model_stats_...' arrays
#To plot the 2D arrays of model fit statistics on the grid of 'power_law_P' vs. 'power_law_r':
power_law_P_range = np.linspace(-0.5, 0.5, 11)
power_law_r_range = np.linspace(-3., -1.2, 11)
d_y = np.diff(power_law_P_range)[0]
d_x = np.diff(power_law_r_range)[0]
xmin, xmax, ymin, ymax = power_law_r_range[0] - d_x/2., power_law_r_range[-1] + d_x/2., power_law_P_range[0] - d_y/2., power_law_P_range[-1] + d_y/2.
xy_ratio = (xmax - xmin)/(ymax - ymin)
for i,name in enumerate(Model_stats_fields):
fig = plt.figure(figsize=(5,4))
plot = GridSpec(1,1,left=0.05,bottom=0.15,right=0.95,top=0.9,wspace=0.1,hspace=0.1)
ax = plt.subplot(plot[0,0])
plt.title(name, fontsize=20)
data_array = Model_stats_P_r_grid[i]
if i==0:
data_array = (data_array/Nstars_sim)/(Nplanets_Kepler/Nstars_Kepler)
plt.imshow(data_array, aspect=xy_ratio, origin='lower', extent=(xmin, xmax, ymin, ymax))
plt.colorbar()
plt.xlabel(r'$\alpha_R$', fontsize=20)
plt.ylabel(r'$\alpha_P$', fontsize=20)
if savefigures == True:
plt.savefig(savefigures_directory + 'Power_law_r/Paper_Figures/KS_grids/' + model_name + '_P_r_stats_%s.pdf' % i)
plt.close()
plt.show()
#To plot the 2D arrays of model fit statistics on the grid of 'num_mutual_hill_radii' vs. 'sigma_logperiod_per_pl_in_cluster':
num_mutual_hill_radii_range = np.linspace(10., 20., 11)
sigma_logperiod_per_pl_in_cluster_range = np.linspace(0.1, 0.4, 11)
d_y = np.diff(num_mutual_hill_radii_range)[0]
d_x = np.diff(sigma_logperiod_per_pl_in_cluster_range)[0]
xmin, xmax, ymin, ymax = sigma_logperiod_per_pl_in_cluster_range[0] - d_x/2., sigma_logperiod_per_pl_in_cluster_range[-1] + d_x/2., num_mutual_hill_radii_range[0] - d_y/2., num_mutual_hill_radii_range[-1] + d_y/2.
xy_ratio = (xmax - xmin)/(ymax - ymin)
for i,name in enumerate(Model_stats_fields):
fig = plt.figure(figsize=(5,4))
plot = GridSpec(1,1,left=0.05,bottom=0.15,right=0.95,top=0.9,wspace=0.1,hspace=0.1)
ax = plt.subplot(plot[0,0])
plt.title(name, fontsize=20)
data_array = Model_stats_Nhill_sigma_grid[i]
if i==0:
data_array = (data_array/Nstars_sim)/(Nplanets_Kepler/Nstars_Kepler)
plt.imshow(data_array, aspect=xy_ratio, origin='lower', extent=(xmin, xmax, ymin, ymax))
plt.colorbar()
plt.xlabel(r'$\sigma_N$', fontsize=20)
plt.ylabel(r'$\Delta_c$', fontsize=20)
if savefigures == True:
plt.savefig(savefigures_directory + 'Power_law_r/Paper_Figures/KS_grids/' + model_name + '_Nhill_sigma_stats_%s.pdf' % i)
plt.close()
plt.show()
#To plot the 2D arrays of model fit statistics on the grid of 'sigma_incl' vs. 'sigma_hk':
sigma_incl_range = np.linspace(0., 3., 11)
sigma_hk_range = np.linspace(0., 0.1, 11)
d_y = np.diff(sigma_incl_range)[0]
d_x = np.diff(sigma_hk_range)[0]
xmin, xmax, ymin, ymax = sigma_hk_range[0] - d_x/2., sigma_hk_range[-1] + d_x/2., sigma_incl_range[0] - d_y/2., sigma_incl_range[-1] + d_y/2.
xy_ratio = (xmax - xmin)/(ymax - ymin)
for i,name in enumerate(Model_stats_fields):
fig = plt.figure(figsize=(5,4))
plot = GridSpec(1,1,left=0.05,bottom=0.15,right=0.95,top=0.9,wspace=0.1,hspace=0.1)
ax = plt.subplot(plot[0,0])
plt.title(name, fontsize=20)
data_array = Model_stats_sigma_incl_sigma_hk_grid[i]
if i==0:
data_array = (data_array/Nstars_sim)/(Nplanets_Kepler/Nstars_Kepler)
plt.imshow(data_array, aspect=xy_ratio, origin='lower', extent=(xmin, xmax, ymin, ymax))
plt.colorbar()
plt.xlabel(r'$\sigma_e$', fontsize=20)
plt.ylabel(r'$\sigma_i$', fontsize=20)
if savefigures == True:
plt.savefig(savefigures_directory + 'Power_law_r/Paper_Figures/KS_grids/' + model_name + '_sigma_incl_sigma_hk_stats_%s.pdf' % i)
plt.close()
plt.show()
#To plot the 2D arrays of model fit statistics on the grid of 'max_radius' vs. 'mr_power_law':
max_radius_range = np.linspace(2., 12., 11)
mr_range = np.linspace(1.5, 3.5, 11)
d_y = np.diff(max_radius_range)[0]
d_x = np.diff(mr_range)[0]
xmin, xmax, ymin, ymax = mr_range[0] - d_x/2., mr_range[-1] + d_x/2., max_radius_range[0] - d_y/2., max_radius_range[-1] + d_y/2.
xy_ratio = (xmax - xmin)/(ymax - ymin)
for i,name in enumerate(Model_stats_fields):
fig = plt.figure(figsize=(5,4))
plot = GridSpec(1,1,left=0.05,bottom=0.15,right=0.95,top=0.9,wspace=0.1,hspace=0.1)
ax = plt.subplot(plot[0,0])
plt.title(name, fontsize=20)
data_array = Model_stats_max_radius_mr_grid[i]
if i==0:
data_array = (data_array/Nstars_sim)/(Nplanets_Kepler/Nstars_Kepler)
plt.imshow(data_array, aspect=xy_ratio, origin='lower', extent=(xmin, xmax, ymin, ymax))
plt.colorbar()
plt.xlabel(r'$\alpha_{mr}$', fontsize=20)
plt.ylabel(r'$R_{p,\rm max}$ $(R_\odot)$', fontsize=20)
if savefigures == True:
plt.savefig(savefigures_directory + 'Power_law_r/Paper_Figures/KS_grids/' + model_name + '_max_radius_mr_stats_%s.pdf' % i)
plt.close()
plt.show()
#To plot the 2D arrays of model fit statistics on the grid of 'log_rate_clusters' vs. 'log_rate_planets_per_cluster':
Model_stats_fields = [r'$f_{\rm sim}/f_{\rm Kepler}$', r'$N_{\rm obs,singles}$', 'Planet Multiplicities', r'$P$', r'$P_{i+1}/P_i$', r'$\delta$', r'$\/xi$'] #names of the fields associated with the 'Model_stats_...' arrays
Nc_range = np.linspace(1., 3., 11)
Np_range = np.linspace(1., 3., 11)
d_y = np.diff(Nc_range)[0]
d_x = np.diff(Np_range)[0]
xmin, xmax, ymin, ymax = Np_range[0] - d_x/2., Np_range[-1] + d_x/2., Nc_range[0] - d_y/2., Nc_range[-1] + d_y/2.
xy_ratio = (xmax - xmin)/(ymax - ymin)
for i,name in enumerate(Model_stats_fields):
fig = plt.figure(figsize=(5,4))
plot = GridSpec(1,1,left=0.05,bottom=0.15,right=0.95,top=0.9,wspace=0.1,hspace=0.1)
ax = plt.subplot(plot[0,0])
plt.title(name, fontsize=20)
data_array = Model_stats_Nc_Np_grid[i]
if i==0:
data_array = (data_array/Nstars_sim)/(Nplanets_Kepler/Nstars_Kepler)
plt.imshow(data_array, aspect=xy_ratio, origin='lower', extent=(xmin, xmax, ymin, ymax))
plt.colorbar()
plt.xlabel(r'$\lambda_p$', fontsize=20)
plt.ylabel(r'$\lambda_c$', fontsize=20)
if savefigures == True:
plt.savefig(savefigures_directory + 'Power_law_r/Paper_Figures/KS_grids/' + model_name + '_Nc_Np_stats_%s.pdf' % i)
plt.close()
plt.show()
'''
'''
#To plot the 2D arrays of model fit statistics on the grid of 'power_law_r1' vs. 'power_law_r2' for broken power law model of radii:
Model_stats_fields = ['Number of observed planets', 'K-S multiplicities', 'K-S periods', 'K-S period ratios', 'K-S transit durations', 'K-S xi', 'K-S transit depths', 'K-S transit depth ratios'] #names of the fields associated with the 'Model_stats_...' arrays
r1_range = np.linspace(-6., 3., 11)
r2_range = np.linspace(-6., 3., 11)
d_y = np.diff(r1_range)[0]
d_x = np.diff(r2_range)[0]
xmin, xmax, ymin, ymax = r2_range[0] - d_x/2., r2_range[-1] + d_x/2., r1_range[0] - d_y/2., r1_range[-1] + d_y/2.
xy_ratio = (xmax - xmin)/(ymax - ymin)
fig = plt.figure(figsize=(16,8))
plot = GridSpec(2,4,left=0.075,bottom=0.115,right=0.95,top=0.925,wspace=0.25,hspace=0.4)
plot_rows = [0,0,0,0,1,1,1,1]
plot_cols = [0,1,2,3,0,1,2,3]
for i,name in enumerate(Model_stats_fields):
ax = plt.subplot(plot[plot_rows[i],plot_cols[i]])
plt.title(name, fontsize=20)
plt.imshow(Model_stats_r1_r2_grid[i], aspect=xy_ratio, origin='lower', extent=(xmin, xmax, ymin, ymax))
plt.colorbar()
plt.xlabel(r'power_law_r2', fontsize=20)
plt.ylabel(r'power_law_r1', fontsize=20)
if savefigures == True:
plt.savefig(savefigures_directory + 'Power_law_r1_r2_sigma_r/' + model_name + '_r1_r2_rbreak2_stats.pdf')
else:
plt.show()
plt.close()
'''
'''
#To plot the 2D arrays of model fit statistics on the grid of 'power_law_r1' vs. 'power_law_r2' for broken power law model of radii:
r1_range = np.linspace(-3., 3., 11)
r2_range = np.linspace(-3., 3., 11)
d_y = np.diff(r1_range)[0]
d_x = np.diff(r2_range)[0]
xmin, xmax, ymin, ymax = r2_range[0] - d_x/2., r2_range[-1] + d_x/2., r1_range[0] - d_y/2., r1_range[-1] + d_y/2.
xy_ratio = (xmax - xmin)/(ymax - ymin)
fig = plt.figure(figsize=(16,8))
plot = GridSpec(2,4,left=0.075,bottom=0.115,right=0.95,top=0.925,wspace=0.25,hspace=0.4)
plot_rows = [0,0,0,0,1,1,1]
plot_cols = [0,1,2,3,0,1,2]
for i,name in enumerate(Model_stats_fields):
ax = plt.subplot(plot[plot_rows[i],plot_cols[i]])
plt.title(name, fontsize=20)
plt.imshow(Model_stats_r1_r2_rbreak3_grid[i], aspect=xy_ratio, origin='lower', extent=(xmin, xmax, ymin, ymax))
plt.colorbar()
plt.xlabel(r'power_law_r2', fontsize=20)
plt.ylabel(r'power_law_r1', fontsize=20)
if savefigures == True:
plt.savefig(savefigures_directory + 'Power_law_r1_r2/' + model_name + '_r1_r2_rbreak3_stats.pdf')
else:
plt.show()
plt.close()
'''
'''
#To plot the 2D arrays of model fit statistics on the grid of 'power_law_r' vs. 'sigma_log_radius_in_cluster' for clustered (lognormal) radii, but still a single power law:
Model_stats_fields = ['Number of observed planets', 'Number of observed singles', 'K-S multiplicities', 'K-S periods', 'K-S period ratios', 'K-S transit depths', 'K-S xi'] #names of the fields associated with the 'Model_stats_...' arrays
r_range = np.linspace(-3., -1.2, 11)
sigma_r_range = np.linspace(0.05, 0.5, 11)
d_y = np.diff(r_range)[0]
d_x = np.diff(sigma_r_range)[0]
xmin, xmax, ymin, ymax = sigma_r_range[0] - d_x/2., sigma_r_range[-1] + d_x/2., r_range[0] - d_y/2., r_range[-1] + d_y/2.
xy_ratio = (xmax - xmin)/(ymax - ymin)
fig = plt.figure(figsize=(16,8))
plot = GridSpec(2,4,left=0.075,bottom=0.115,right=0.95,top=0.925,wspace=0.25,hspace=0.4)
plot_rows = [0,0,0,0,1,1,1]
plot_cols = [0,1,2,3,0,1,2]
for i,name in enumerate(Model_stats_fields):
ax = plt.subplot(plot[plot_rows[i],plot_cols[i]])
plt.title(name, fontsize=20)
plt.imshow(Model_stats_r_sigma_r_grid[i], aspect=xy_ratio, origin='lower', extent=(xmin, xmax, ymin, ymax))
plt.colorbar()
plt.xlabel(r'sigma_log_radius_in_cluster', fontsize=20)
plt.ylabel(r'power_law_r', fontsize=20)
if savefigures == True:
plt.savefig(savefigures_directory + 'Power_law_r_sigma_r/' + model_name + '_r_sigma_r_stats.pdf')
else:
plt.show()
plt.close()
'''
#'''
##### To re-make each of the above grid plots as single panels for Comprehensive exam paper:
Model_stats_fields = [r'$f_{\rm sim}/f_{\rm Kepler}$', 'Planet Multiplicities', r'$P$', r'$P_{i+1}/P_i$', r'$t_{\rm dur}$', r'$\xi$', r'$\delta$', r'$\delta_{i+1}/\delta_i$'] #names of the fields associated with the 'Model_stats_...' arrays
#To plot the 2D arrays of model fit statistics on the grid of 'power_law_r1' vs. 'power_law_r2':
r1_range = np.linspace(-6., 3., 11)
r2_range = np.linspace(-6., 3., 11)
d_y = np.diff(r1_range)[0]
d_x = np.diff(r2_range)[0]
xmin, xmax, ymin, ymax = r2_range[0] - d_x/2., r2_range[-1] + d_x/2., r1_range[0] - d_y/2., r1_range[-1] + d_y/2.
xy_ratio = (xmax - xmin)/(ymax - ymin)
for i,name in enumerate(Model_stats_fields):
fig = plt.figure(figsize=(5,4))
plot = GridSpec(1,1,left=0.05,bottom=0.15,right=0.95,top=0.9,wspace=0.1,hspace=0.1)
ax = plt.subplot(plot[0,0])
plt.title(name, fontsize=20)
data_array = Model_stats_r1_r2_grid[i]
if i==0:
data_array = (data_array/(Nstars_sim/cos_factor))/(Nplanets_Kepler/Nstars_Kepler)
plt.imshow(data_array, aspect=xy_ratio, vmin=0.5, vmax=2., origin='lower', extent=(xmin, xmax, ymin, ymax))
else:
plt.imshow(data_array, aspect=xy_ratio, vmin=0., vmax=0.2, origin='lower', extent=(xmin, xmax, ymin, ymax))
plt.colorbar()
plt.xlabel(r'$\alpha_{R2}$', fontsize=20)
plt.ylabel(r'$\alpha_{R1}$', fontsize=20)
if savefigures == True:
plt.savefig(savefigures_directory + 'Power_law_r1_r2_sigma_r/Paper_Figures/KS_grids/' + model_name + '_r1_r2_rbreak2_stats_%s.pdf' % i)
plt.close()
plt.show()
#To plot the 2D arrays of model fit statistics on the grid of 'num_mutual_hill_radii' vs. 'sigma_logperiod_per_pl_in_cluster':
num_mutual_hill_radii_range = np.linspace(5., 20., 11)
sigma_logperiod_per_pl_in_cluster_range = np.linspace(0.05, 0.5, 11)
d_y = np.diff(num_mutual_hill_radii_range)[0]
d_x = np.diff(sigma_logperiod_per_pl_in_cluster_range)[0]
xmin, xmax, ymin, ymax = sigma_logperiod_per_pl_in_cluster_range[0] - d_x/2., sigma_logperiod_per_pl_in_cluster_range[-1] + d_x/2., num_mutual_hill_radii_range[0] - d_y/2., num_mutual_hill_radii_range[-1] + d_y/2.
xy_ratio = (xmax - xmin)/(ymax - ymin)
for i,name in enumerate(Model_stats_fields):
fig = plt.figure(figsize=(5,4))
plot = GridSpec(1,1,left=0.05,bottom=0.15,right=0.95,top=0.9,wspace=0.1,hspace=0.1)
ax = plt.subplot(plot[0,0])
plt.title(name, fontsize=20)
data_array = Model_stats_Nhill_sigma_grid[i]
if i==0:
data_array = (data_array/(Nstars_sim/cos_factor))/(Nplanets_Kepler/Nstars_Kepler)
plt.imshow(data_array, aspect=xy_ratio, vmin=0.5, vmax=2., origin='lower', extent=(xmin, xmax, ymin, ymax))
else:
plt.imshow(data_array, aspect=xy_ratio, vmin=0., vmax=0.2, origin='lower', extent=(xmin, xmax, ymin, ymax))
plt.colorbar()
plt.xlabel(r'$\sigma_N$', fontsize=20)
plt.ylabel(r'$\Delta_c$', fontsize=20)
if savefigures == True:
plt.savefig(savefigures_directory + 'Power_law_r1_r2_sigma_r/Paper_Figures/KS_grids/' + model_name + '_Nhill_sigma_stats_%s.pdf' % i)
plt.close()
plt.show()
#To plot the 2D arrays of model fit statistics on the grid of 'sigma_incl' vs. 'sigma_hk':
sigma_incl_range = np.linspace(0., 5., 11)
sigma_hk_range = np.linspace(0., 0.2, 11)
d_y = np.diff(sigma_incl_range)[0]
d_x = np.diff(sigma_hk_range)[0]
xmin, xmax, ymin, ymax = sigma_hk_range[0] - d_x/2., sigma_hk_range[-1] + d_x/2., sigma_incl_range[0] - d_y/2., sigma_incl_range[-1] + d_y/2.
xy_ratio = (xmax - xmin)/(ymax - ymin)
for i,name in enumerate(Model_stats_fields):
fig = plt.figure(figsize=(5,4))
plot = GridSpec(1,1,left=0.05,bottom=0.15,right=0.95,top=0.9,wspace=0.1,hspace=0.1)
ax = plt.subplot(plot[0,0])
plt.title(name, fontsize=20)
data_array = Model_stats_sigma_incl_sigma_hk_grid[i]
if i==0:
data_array = (data_array/(Nstars_sim/cos_factor))/(Nplanets_Kepler/Nstars_Kepler)
plt.imshow(data_array, aspect=xy_ratio, vmin=0.5, vmax=2., origin='lower', extent=(xmin, xmax, ymin, ymax))
else:
plt.imshow(data_array, aspect=xy_ratio, vmin=0., vmax=0.2, origin='lower', extent=(xmin, xmax, ymin, ymax))
plt.colorbar()
plt.xlabel(r'$\sigma_e$', fontsize=20)
plt.ylabel(r'$\sigma_i$', fontsize=20)
if savefigures == True:
plt.savefig(savefigures_directory + 'Power_law_r1_r2_sigma_r/Paper_Figures/KS_grids/' + model_name + '_sigma_incl_sigma_hk_stats_%s.pdf' % i)
plt.close()
plt.show()
#To plot the 2D arrays of model fit statistics on the grid of 'mr_power_law' vs. 'sigma_log_radius_in_cluster':
mr_range = np.linspace(1.5, 3.5, 11)
sigmaR_range = np.linspace(0.1, 1.0, 11)
d_y = np.diff(mr_range)[0]
d_x = np.diff(sigmaR_range)[0]
xmin, xmax, ymin, ymax = sigmaR_range[0] - d_x/2., sigmaR_range[-1] + d_x/2., mr_range[0] - d_y/2., mr_range[-1] + d_y/2.
xy_ratio = (xmax - xmin)/(ymax - ymin)
for i,name in enumerate(Model_stats_fields):
fig = plt.figure(figsize=(5,4))
plot = GridSpec(1,1,left=0.05,bottom=0.15,right=0.95,top=0.9,wspace=0.1,hspace=0.1)
ax = plt.subplot(plot[0,0])
plt.title(name, fontsize=20)
data_array = Model_stats_mr_sigmaR_grid[i]
if i==0:
data_array = (data_array/(Nstars_sim/cos_factor))/(Nplanets_Kepler/Nstars_Kepler)
plt.imshow(data_array, aspect=xy_ratio, vmin=0.5, vmax=2., origin='lower', extent=(xmin, xmax, ymin, ymax))
else:
plt.imshow(data_array, aspect=xy_ratio, vmin=0., vmax=0.2, origin='lower', extent=(xmin, xmax, ymin, ymax))
plt.colorbar()
plt.xlabel(r'$\sigma_R$', fontsize=20)
plt.ylabel(r'$\alpha_{mr}$', fontsize=20)
if savefigures == True:
plt.savefig(savefigures_directory + 'Power_law_r1_r2_sigma_r/Paper_Figures/KS_grids/' + model_name + '_mr_sigmaR_stats_%s.pdf' % i)
plt.close()
plt.show()
#To plot the 2D arrays of model fit statistics on the grid of 'log_rate_clusters' vs. 'log_rate_planets_per_cluster':
Model_stats_fields = [r'$f_{\rm sim}/f_{\rm Kepler}$', r'$N_{p,\rm obs,singles}$', 'Planet Multiplicities', r'$P$', r'$P_{i+1}/P_i$', r'$t_{\rm dur}$', r'$\xi$', r'$\delta$', r'$\delta_{i+1}/\delta_i$'] #names of the fields associated with the 'Model_stats_...' arrays
Nc_range = np.linspace(1., 5., 11)
Np_range = np.linspace(1., 5., 11)
d_y = np.diff(Nc_range)[0]
d_x = np.diff(Np_range)[0]
xmin, xmax, ymin, ymax = Np_range[0] - d_x/2., Np_range[-1] + d_x/2., Nc_range[0] - d_y/2., Nc_range[-1] + d_y/2.
xy_ratio = (xmax - xmin)/(ymax - ymin)
for i,name in enumerate(Model_stats_fields):
fig = plt.figure(figsize=(5,4))
plot = GridSpec(1,1,left=0.05,bottom=0.15,right=0.95,top=0.9,wspace=0.1,hspace=0.1)
ax = plt.subplot(plot[0,0])
plt.title(name, fontsize=20)
data_array = Model_stats_Nc_Np_grid[i]
if i==0:
data_array = (data_array/(Nstars_sim/cos_factor))/(Nplanets_Kepler/Nstars_Kepler)
plt.imshow(data_array, aspect=xy_ratio, vmin=0.5, vmax=2., origin='lower', extent=(xmin, xmax, ymin, ymax))
else:
plt.imshow(data_array, aspect=xy_ratio, vmin=0., vmax=0.2, origin='lower', extent=(xmin, xmax, ymin, ymax))
plt.colorbar()
plt.xlabel(r'$\lambda_p$', fontsize=20)
plt.ylabel(r'$\lambda_c$', fontsize=20)
if savefigures == True:
plt.savefig(savefigures_directory + 'Power_law_r1_r2_sigma_r/Paper_Figures/KS_grids/' + model_name + '_Nc_Np_stats_%s.pdf' % i)
plt.close()
plt.show()
#'''
| 43.523926
| 347
| 0.678056
| 6,222
| 35,472
| 3.617969
| 0.047091
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| 0.017725
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| 0.937719
| 0.930301
| 0.901559
| 0.88037
| 0.873306
| 0.864333
| 0
| 0.045393
| 0.169035
| 35,472
| 814
| 348
| 43.577396
| 0.718313
| 0.066221
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| 0.59633
| 0
| 0
| 0.136726
| 0.087106
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.041284
| null | null | 0.022936
| 0
| 0
| 0
| null | 0
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| 0
| 1
| 1
| 1
| 1
| 1
| 1
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| null | 0
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| 0
|
0
| 7
|
e7e0607548dfc7214da93330eb087c16c14d12a0
| 66
|
py
|
Python
|
whyis/decorator/__init__.py
|
tolulomo/whyis
|
eb50ab3301eb7efd27a1a3f6fb2305dedd910397
|
[
"Apache-2.0"
] | 31
|
2018-05-30T02:41:23.000Z
|
2021-10-17T01:25:20.000Z
|
whyis/decorator/__init__.py
|
tolulomo/whyis
|
eb50ab3301eb7efd27a1a3f6fb2305dedd910397
|
[
"Apache-2.0"
] | 115
|
2018-04-07T00:59:11.000Z
|
2022-03-02T03:06:45.000Z
|
whyis/decorator/__init__.py
|
tolulomo/whyis
|
eb50ab3301eb7efd27a1a3f6fb2305dedd910397
|
[
"Apache-2.0"
] | 25
|
2018-04-07T00:49:55.000Z
|
2021-09-28T14:29:18.000Z
|
from .conditional_login_required import conditional_login_required
| 66
| 66
| 0.939394
| 8
| 66
| 7.25
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| 0.551724
| 0.827586
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| 66
| 1
| 66
| 66
| 0.920635
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| 1
| 0
|
0
| 7
|
99d9cf233e740e3c81b48a8e27032cb71aec7103
| 5,063
|
py
|
Python
|
selenium_lib/common.py
|
sudotong/slack-end-to-end-testing
|
6cbdf118b908b7d6fd72ff75e817584d44d07aae
|
[
"Apache-2.0"
] | null | null | null |
selenium_lib/common.py
|
sudotong/slack-end-to-end-testing
|
6cbdf118b908b7d6fd72ff75e817584d44d07aae
|
[
"Apache-2.0"
] | null | null | null |
selenium_lib/common.py
|
sudotong/slack-end-to-end-testing
|
6cbdf118b908b7d6fd72ff75e817584d44d07aae
|
[
"Apache-2.0"
] | null | null | null |
import time
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from selenium.common.exceptions import TimeoutException
from selenium.webdriver.support.ui import WebDriverWait
class SeleniumLib(object):
def wait_for_id(self, object_id):
driver = self.driver
try:
element = WebDriverWait(driver, self.wait_time).until(
EC.presence_of_element_located((By.ID, object_id))
)
except TimeoutException:
print 'loading took to much time for: ', object_id
assert False
def wait_for_xpath(self, path, should_assert=False):
driver = self.driver
try:
element = WebDriverWait(driver, self.wait_time).until(
EC.presence_of_element_located((By.XPATH, path))
)
return True
except TimeoutException:
print 'loading took to much time for: ', path
#if should_assert:
# assert False # should this assert?
return False
def wait_for_css_path(self, path, should_assert=False):
driver = self.driver
try:
element = WebDriverWait(driver, self.wait_time).until(
EC.presence_of_element_located((By.CSS_SELECTOR, path))
)
driver.find_element_by_css_selector(path)
return True
except TimeoutException:
print 'loading took to much time for: ', path
#if should_assert:
assert False # should this assert?
return False
def wait_for_css_path_to_be_visible(self, path, should_assert=False):
driver = self.driver
try:
element = WebDriverWait(driver, self.wait_time).until(
EC.visibility_of_element_located((By.CSS_SELECTOR, path))
)
driver.find_element_by_css_selector(path)
return True
except TimeoutException:
print 'loading took to much time for: ', path
#if should_assert:
assert False # should this assert?
return False
def wait_for_id_to_be_clickable(self, object_id):
driver = self.driver
try:
element = WebDriverWait(driver, self.wait_time).until(
EC.element_to_be_clickable((By.ID, object_id))
)
time.sleep(1)
driver.find_element_by_id(object_id).click()
except TimeoutException:
print 'loading took too much time for: ', object_id
assert False
def wait_for_xpath_to_be_clickable(self, object_path, should_assert=True):
driver = self.driver
try:
element = WebDriverWait(driver, self.wait_time).until(
EC.element_to_be_clickable((By.XPATH, object_path))
)
time.sleep(1)
driver.find_element_by_xpath(object_path).click()
except TimeoutException:
print 'loading took too much time for: ', object_path
if should_assert:
assert False
def wait_for_css_path_to_be_clickable(self, object_path):
driver = self.driver
try:
element = WebDriverWait(driver, self.wait_time).until(
EC.element_to_be_clickable((By.CSS_SELECTOR, object_path))
)
time.sleep(1)
driver.find_element_by_css_selector(object_path).click()
except TimeoutException:
print 'loading took too much time for: ', object_path
assert False
def wait_for_text_in_xpath(self, path, wait_text, should_assert=True):
driver = self.driver
try:
element = WebDriverWait(driver, self.wait_time).until(
EC.text_to_be_present_in_element((By.XPATH, path), wait_text)
)
except TimeoutException:
print "loading took too much time for: ", wait_text, " in ", path
if should_assert:
assert False
def wait_for_text_in_css_path(self, path, wait_text, should_assert=True):
driver = self.driver
try:
element = WebDriverWait(driver, self.wait_time).until(
EC.text_to_be_present_in_element((By.CSS_SELECTOR, path), wait_text)
)
except TimeoutException:
print "loading took too much time for: ", wait_text, " in ", path
if should_assert:
assert False
def get_attribute_in_css_path(self, path, attribute):
driver = self.driver
try:
element = WebDriverWait(driver, self.wait_time).until(
EC.element_to_be_clickable((By.CSS_SELECTOR, path))
)
time.sleep(1)
return element.get_attribute(attribute)
except TimeoutException:
print 'loading took too much time for: ', object_path
assert False
def __init__(self, driver, wait_time=10):
self.driver = driver
self.wait_time = wait_time
| 37.503704
| 84
| 0.610113
| 591
| 5,063
| 4.969543
| 0.108291
| 0.071502
| 0.052434
| 0.067416
| 0.850528
| 0.834185
| 0.813415
| 0.797072
| 0.791965
| 0.737487
| 0
| 0.001733
| 0.316216
| 5,063
| 134
| 85
| 37.783582
| 0.84662
| 0.025281
| 0
| 0.615385
| 0
| 0
| 0.065747
| 0
| 0
| 0
| 0
| 0
| 0.153846
| 0
| null | null | 0
| 0.042735
| null | null | 0.08547
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
8211a7e940b58993b1602b315ba350c973d8e3a6
| 1,621
|
py
|
Python
|
test/TestEventIsEmpty.py
|
ruchidesai/redi
|
562706805fb6bb472f38ba79094a57c72848492e
|
[
"BSD-3-Clause"
] | null | null | null |
test/TestEventIsEmpty.py
|
ruchidesai/redi
|
562706805fb6bb472f38ba79094a57c72848492e
|
[
"BSD-3-Clause"
] | null | null | null |
test/TestEventIsEmpty.py
|
ruchidesai/redi
|
562706805fb6bb472f38ba79094a57c72848492e
|
[
"BSD-3-Clause"
] | null | null | null |
import unittest
from lxml import etree
from form import Form
class TestEventIsEmpty(unittest.TestCase):
def test_is_empty(self):
raw_xml = """
<person_form_event>
<person>
<study_id>60</study_id>
<all_form_events>
<form>
<name>hcv_rna_results</name>
<event>
<name>1_arm_1</name>
<field><name/><value/></field>
<field><name>hcv_lbdtc</name><value/></field>
</event>
</form>
</all_form_events>
</person>
</person_form_event>"""
form = Form(etree.fromstring(raw_xml))
event = form.events().next()
self.assertTrue(event.is_empty())
def test_is_not_empty(self):
raw_xml = """
<person_form_event>
<person>
<study_id>60</study_id>
<all_form_events>
<form>
<name>hcv_rna_results</name>
<event>
<name>1_arm_1</name>
<field><name/><value>o hai</value></field>
<field><name>hcv_lbdtc</name><value/></field>
</event>
</form>
</all_form_events>
</person>
</person_form_event>"""
form = Form(etree.fromstring(raw_xml))
event = form.events().next()
self.assertFalse(event.is_empty())
if __name__ == "__main__":
unittest.main()
| 28.946429
| 67
| 0.456508
| 155
| 1,621
| 4.458065
| 0.264516
| 0.086831
| 0.086831
| 0.043415
| 0.739508
| 0.739508
| 0.739508
| 0.739508
| 0.739508
| 0.739508
| 0
| 0.008511
| 0.420111
| 1,621
| 55
| 68
| 29.472727
| 0.726596
| 0
| 0
| 0.73913
| 0
| 0
| 0.681061
| 0.150524
| 0
| 0
| 0
| 0
| 0.043478
| 1
| 0.043478
| false
| 0
| 0.065217
| 0
| 0.130435
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
415922cdd9da6e402e62e21750a6c6ac935fc57d
| 27
|
py
|
Python
|
minimax/minimax.py
|
LenniDev/minimax
|
e56b3f2a2f6ac448596e382fb2e4b1d327b26470
|
[
"MIT"
] | 1
|
2021-11-28T15:13:11.000Z
|
2021-11-28T15:13:11.000Z
|
minimax/minimax.py
|
LenniDev/minimax
|
e56b3f2a2f6ac448596e382fb2e4b1d327b26470
|
[
"MIT"
] | null | null | null |
minimax/minimax.py
|
LenniDev/minimax
|
e56b3f2a2f6ac448596e382fb2e4b1d327b26470
|
[
"MIT"
] | null | null | null |
def minimax():
return 0
| 13.5
| 14
| 0.62963
| 4
| 27
| 4.25
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.05
| 0.259259
| 27
| 2
| 15
| 13.5
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| true
| 0
| 0
| 0.5
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 1
| 0
|
0
| 7
|
41a921b19cfa4db22d0f43be9be5e36f0f268098
| 8,387
|
py
|
Python
|
a10sdk/core/cgnv6/cgnv6_pcp.py
|
deepfield/a10sdk-python
|
bfaa58099f51f085d5e91652d1d1a3fd5c529d5d
|
[
"Apache-2.0"
] | 16
|
2015-05-20T07:26:30.000Z
|
2021-01-23T11:56:57.000Z
|
a10sdk/core/cgnv6/cgnv6_pcp.py
|
deepfield/a10sdk-python
|
bfaa58099f51f085d5e91652d1d1a3fd5c529d5d
|
[
"Apache-2.0"
] | 6
|
2015-03-24T22:07:11.000Z
|
2017-03-28T21:31:18.000Z
|
a10sdk/core/cgnv6/cgnv6_pcp.py
|
deepfield/a10sdk-python
|
bfaa58099f51f085d5e91652d1d1a3fd5c529d5d
|
[
"Apache-2.0"
] | 23
|
2015-03-29T15:43:01.000Z
|
2021-06-02T17:12:01.000Z
|
from a10sdk.common.A10BaseClass import A10BaseClass
class SamplingEnable(A10BaseClass):
"""This class does not support CRUD Operations please use parent.
:param counters1: {"enum": ["all", "packets-rcv", "lsn-map-process-success", "dslite-map-process-success", "nat64-map-process-success", "lsn-peer-process-success", "dslite-peer-process-success", "nat64-peer-process-success", "lsn-announce-process-success", "dslite-announce-process-success", "nat64-announce-process-success", "pkt-not-request-drop", "pkt-too-short-drop", "noroute-drop", "unsupported-version", "not-authorized", "malform-request", "unsupp-opcode", "unsupp-option", "malform-option", "no-resources", "unsupp-protocol", "user-quota-exceeded", "cannot-provide-suggest", "address-mismatch", "excessive-remote-peers", "pkt-not-from-nat-inside", "l4-process-error", "internal-error-drop", "unsol_ance_sent_succ", "unsol_ance_sent_fail", "ha_sync_epoch_sent", "ha_sync_epoch_rcv", "fullcone-ext-alloc", "fullcone-ext-free", "fullcone-ext-alloc-failure", "fullcone-ext-notfound", "fullcone-ext-reuse", "client-nonce-mismatch", "map-filter-set", "map-filter-deny"], "type": "string", "description": "'all': all; 'packets-rcv': Packets Received; 'lsn-map-process-success': PCP MAP Request Processing Success (NAT44); 'dslite-map-process-success': PCP MAP Request Processing Success (DS-Lite); 'nat64-map-process-success': PCP MAP Request Processing Success (NAT64); 'lsn-peer-process-success': PCP PEER Request Processing Success (NAT44); 'dslite-peer-process-success': PCP PEER Request Processing Success (DS-Lite); 'nat64-peer-process-success': PCP PEER Request Processing Success (NAT64); 'lsn-announce-process-success': PCP ANNOUNCE Request Processing Success (NAT44); 'dslite-announce-process-success': PCP ANNOUNCE Request Processing Success (DS-Lite); 'nat64-announce-process-success': PCP ANNOUNCE Request Processing Success (NAT64); 'pkt-not-request-drop': Packet Not a PCP Request; 'pkt-too-short-drop': Packet Too Short; 'noroute-drop': Response No Route; 'unsupported-version': Unsupported PCP version; 'not-authorized': PCP Request Not Authorized; 'malform-request': PCP Request Malformed; 'unsupp-opcode': Unsupported PCP Opcode; 'unsupp-option': Unsupported PCP Option; 'malform-option': PCP Option Malformed; 'no-resources': No System or NAT Resources; 'unsupp-protocol': Unsupported Mapping Protocol; 'user-quota-exceeded': User Quota Exceeded; 'cannot-provide-suggest': Cannot Provide Suggested Port When PREFER_FAILURE; 'address-mismatch': PCP Client Address Mismatch; 'excessive-remote-peers': Excessive Remote Peers; 'pkt-not-from-nat-inside': Packet Dropped For Not Coming From NAT Inside; 'l4-process-error': L3/L4 Process Error; 'internal-error-drop': Internal Error; 'unsol_ance_sent_succ': Unsolicited Announce Sent; 'unsol_ance_sent_fail': Unsolicited Announce Send Failure; 'ha_sync_epoch_sent': HA Sync PCP Epoch Sent; 'ha_sync_epoch_rcv': HA Sync PCP Epoch Recv; 'fullcone-ext-alloc': PCP Fullcone Extension Alloc; 'fullcone-ext-free': PCP Fullcone Extension Free; 'fullcone-ext-alloc-failure': PCP Fullcone Extension Alloc Failure; 'fullcone-ext-notfound': PCP Fullcone Extension Not Found; 'fullcone-ext-reuse': PCP Fullcone Extension Reuse; 'client-nonce-mismatch': PCP Client Nonce Mismatch; 'map-filter-set': PCP MAP Filter Set; 'map-filter-deny': PCP MAP Filter Deny Inbound; ", "format": "enum"}
:param DeviceProxy: The device proxy for REST operations and session handling. Refer to `common/device_proxy.py`
"""
def __init__(self, **kwargs):
self.ERROR_MSG = ""
self.b_key = "sampling-enable"
self.DeviceProxy = ""
self.counters1 = ""
for keys, value in kwargs.items():
setattr(self,keys, value)
class Pcp(A10BaseClass):
""" :param sampling_enable: {"minItems": 1, "items": {"type": "object"}, "uniqueItems": true, "type": "array", "array": [{"properties": {"optional": true, "counters1": {"enum": ["all", "packets-rcv", "lsn-map-process-success", "dslite-map-process-success", "nat64-map-process-success", "lsn-peer-process-success", "dslite-peer-process-success", "nat64-peer-process-success", "lsn-announce-process-success", "dslite-announce-process-success", "nat64-announce-process-success", "pkt-not-request-drop", "pkt-too-short-drop", "noroute-drop", "unsupported-version", "not-authorized", "malform-request", "unsupp-opcode", "unsupp-option", "malform-option", "no-resources", "unsupp-protocol", "user-quota-exceeded", "cannot-provide-suggest", "address-mismatch", "excessive-remote-peers", "pkt-not-from-nat-inside", "l4-process-error", "internal-error-drop", "unsol_ance_sent_succ", "unsol_ance_sent_fail", "ha_sync_epoch_sent", "ha_sync_epoch_rcv", "fullcone-ext-alloc", "fullcone-ext-free", "fullcone-ext-alloc-failure", "fullcone-ext-notfound", "fullcone-ext-reuse", "client-nonce-mismatch", "map-filter-set", "map-filter-deny"], "type": "string", "description": "'all': all; 'packets-rcv': Packets Received; 'lsn-map-process-success': PCP MAP Request Processing Success (NAT44); 'dslite-map-process-success': PCP MAP Request Processing Success (DS-Lite); 'nat64-map-process-success': PCP MAP Request Processing Success (NAT64); 'lsn-peer-process-success': PCP PEER Request Processing Success (NAT44); 'dslite-peer-process-success': PCP PEER Request Processing Success (DS-Lite); 'nat64-peer-process-success': PCP PEER Request Processing Success (NAT64); 'lsn-announce-process-success': PCP ANNOUNCE Request Processing Success (NAT44); 'dslite-announce-process-success': PCP ANNOUNCE Request Processing Success (DS-Lite); 'nat64-announce-process-success': PCP ANNOUNCE Request Processing Success (NAT64); 'pkt-not-request-drop': Packet Not a PCP Request; 'pkt-too-short-drop': Packet Too Short; 'noroute-drop': Response No Route; 'unsupported-version': Unsupported PCP version; 'not-authorized': PCP Request Not Authorized; 'malform-request': PCP Request Malformed; 'unsupp-opcode': Unsupported PCP Opcode; 'unsupp-option': Unsupported PCP Option; 'malform-option': PCP Option Malformed; 'no-resources': No System or NAT Resources; 'unsupp-protocol': Unsupported Mapping Protocol; 'user-quota-exceeded': User Quota Exceeded; 'cannot-provide-suggest': Cannot Provide Suggested Port When PREFER_FAILURE; 'address-mismatch': PCP Client Address Mismatch; 'excessive-remote-peers': Excessive Remote Peers; 'pkt-not-from-nat-inside': Packet Dropped For Not Coming From NAT Inside; 'l4-process-error': L3/L4 Process Error; 'internal-error-drop': Internal Error; 'unsol_ance_sent_succ': Unsolicited Announce Sent; 'unsol_ance_sent_fail': Unsolicited Announce Send Failure; 'ha_sync_epoch_sent': HA Sync PCP Epoch Sent; 'ha_sync_epoch_rcv': HA Sync PCP Epoch Recv; 'fullcone-ext-alloc': PCP Fullcone Extension Alloc; 'fullcone-ext-free': PCP Fullcone Extension Free; 'fullcone-ext-alloc-failure': PCP Fullcone Extension Alloc Failure; 'fullcone-ext-notfound': PCP Fullcone Extension Not Found; 'fullcone-ext-reuse': PCP Fullcone Extension Reuse; 'client-nonce-mismatch': PCP Client Nonce Mismatch; 'map-filter-set': PCP MAP Filter Set; 'map-filter-deny': PCP MAP Filter Deny Inbound; ", "format": "enum"}}}]}
:param uuid: {"description": "uuid of the object", "format": "string", "minLength": 1, "modify-not-allowed": 1, "optional": true, "maxLength": 64, "type": "string"}
:param default_template: {"description": "Bind the default template for PCP (Bind a PCP template)", "format": "string-rlx", "minLength": 1, "optional": true, "maxLength": 63, "type": "string"}
:param DeviceProxy: The device proxy for REST operations and session handling. Refer to `common/device_proxy.py`
Class Description::
Set Port Control Protocol parameters.
Class pcp supports CRUD Operations and inherits from `common/A10BaseClass`.
This class is the `"PARENT"` class for this module.`
URL for this object::
`https://<Hostname|Ip address>//axapi/v3/cgnv6/pcp`.
"""
def __init__(self, **kwargs):
self.ERROR_MSG = ""
self.required=[]
self.b_key = "pcp"
self.a10_url="/axapi/v3/cgnv6/pcp"
self.DeviceProxy = ""
self.sampling_enable = []
self.uuid = ""
self.default_template = ""
for keys, value in kwargs.items():
setattr(self,keys, value)
| 135.274194
| 3,400
| 0.734828
| 1,111
| 8,387
| 5.485149
| 0.156616
| 0.082704
| 0.050213
| 0.014769
| 0.86298
| 0.86298
| 0.86298
| 0.86298
| 0.85215
| 0.85215
| 0
| 0.011485
| 0.117563
| 8,387
| 61
| 3,401
| 137.491803
| 0.811917
| 0.905807
| 0
| 0.47619
| 0
| 0
| 0.049465
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.095238
| false
| 0
| 0.047619
| 0
| 0.238095
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
68ce2f532e1e21081d34bbc194efd0acd470ff55
| 467
|
py
|
Python
|
app/schemas/product.py
|
MrHenryD/microservice
|
c85f9d5ac644b1c8e8118a64f661f7a267bf0d90
|
[
"MIT"
] | null | null | null |
app/schemas/product.py
|
MrHenryD/microservice
|
c85f9d5ac644b1c8e8118a64f661f7a267bf0d90
|
[
"MIT"
] | null | null | null |
app/schemas/product.py
|
MrHenryD/microservice
|
c85f9d5ac644b1c8e8118a64f661f7a267bf0d90
|
[
"MIT"
] | null | null | null |
from typing import Optional
from pydantic import BaseModel
class ProductBase(BaseModel):
name: Optional[str] = None
price: Optional[float] = None
description: Optional[str] = None
class ProductCreate(ProductBase):
name: Optional[str] = None
price: Optional[float] = None
description: Optional[str] = None
class Product(ProductBase):
name: Optional[str] = None
price: Optional[float] = None
description: Optional[str] = None
| 21.227273
| 37
| 0.704497
| 53
| 467
| 6.207547
| 0.301887
| 0.200608
| 0.273556
| 0.173252
| 0.708207
| 0.708207
| 0.708207
| 0.708207
| 0.708207
| 0.708207
| 0
| 0
| 0.199143
| 467
| 21
| 38
| 22.238095
| 0.879679
| 0
| 0
| 0.642857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.142857
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
|
0
| 10
|
68d06a9d412c3df6271dd31e88d8d04d80ad1940
| 4,330
|
py
|
Python
|
function/basic_atoms.py
|
facebookresearch/task_bench
|
1a75797d635d2b2e79336b5c02af654f1bec7013
|
[
"CC0-1.0"
] | 1
|
2022-03-20T22:09:25.000Z
|
2022-03-20T22:09:25.000Z
|
function/basic_atoms.py
|
facebookresearch/task_bench
|
1a75797d635d2b2e79336b5c02af654f1bec7013
|
[
"CC0-1.0"
] | null | null | null |
function/basic_atoms.py
|
facebookresearch/task_bench
|
1a75797d635d2b2e79336b5c02af654f1bec7013
|
[
"CC0-1.0"
] | null | null | null |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
import json
import os
from function import Function, FUNCTION_REGISTRY, WordFunction
from function import get_lang_vocab
class AllWordPredicate(WordFunction):
"""
Maps word -> true
X -> true
"""
def __init__(self, fn_tree, function, inner_fns, lang, **kwargs):
super().__init__(fn_tree=fn_tree, inner_fns=inner_fns)
# Getting pre-computed relations
self.function = function
self.lang = lang
@classmethod
def get_func_name(cls):
return ['acceptall']
def get_universe(self):
# TODO
if not hasattr(self, 'universe'):
self.universe = super().get_universe()
if self.universe is None:
self.universe = get_lang_vocab(self.input_lang)
return self.universe
def to_nl(self):
return str(True)
def __call__(self, inputs: list=None):
"""
get all words lexically related to any words in word_set
"""
assert len(inputs) == 1
return {'out': True, 'inner': self.compute_inner_fns(inputs)}
@classmethod
def build(cls, fn_tree, inner_fns, **kwargs):
curr_function = fn_tree.get_base_fn()
function = str(fn_tree)
lang = fn_tree.bracket_children[0]
return cls(
fn_tree=fn_tree,
function=curr_function,
inner_fns=inner_fns,
lang=lang,
**kwargs,
)
class NoWordPredicate(WordFunction):
"""
Maps word -> false
X -> false
"""
def __init__(self, fn_tree, function, inner_fns, lang, **kwargs):
super().__init__(fn_tree=fn_tree, inner_fns=inner_fns)
# Getting pre-computed relations
self.function = function
self.lang = lang
@classmethod
def get_func_name(cls):
return ['rejectall']
def get_universe(self):
# TODO
if not hasattr(self, 'universe'):
self.universe = super().get_universe()
if self.universe is None:
self.universe = get_lang_vocab(self.input_lang)
return self.universe
def to_nl(self):
return str(False)
def __call__(self, inputs: list=None):
"""
get all words lexically related to any words in word_set
"""
assert len(inputs) == 1
return {'out': False, 'inner': self.compute_inner_fns(inputs)}
@classmethod
def build(cls, fn_tree, inner_fns, **kwargs):
curr_function = fn_tree.get_base_fn()
function = str(fn_tree)
lang = fn_tree.bracket_children[0]
return cls(
fn_tree=fn_tree,
function=curr_function,
inner_fns=inner_fns,
lang=lang,
**kwargs,
)
class WordIdentityMapping(WordFunction):
"""
Maps word -> singleton set of a same word
X -> {X}
"""
def __init__(self, fn_tree, function, inner_fns, lang, **kwargs):
super().__init__(fn_tree=fn_tree, inner_fns=inner_fns)
# Getting pre-computed relations
self.function = function
self.lang = lang
@classmethod
def get_func_name(cls):
return ['identity']
def get_universe(self):
# TODO
if not hasattr(self, 'universe'):
self.universe = super().get_universe()
if self.universe is None:
self.universe = get_lang_vocab(self.input_lang)
return self.universe
def to_nl(self):
inner_nls = [inner_fn.to_nl() for inner_fn in self.inner_fns]
assert len(inner_nls) == 1
inner_nl = inner_nls[0]
return f"same word as {inner_nl}".strip()
def __call__(self, inputs: list=None):
"""
get all words lexically related to any words in word_set
"""
assert len(inputs) == 1
return {'out': inputs[0], 'inner': self.compute_inner_fns(inputs)}
@classmethod
def build(cls, fn_tree, inner_fns, **kwargs):
curr_function = fn_tree.get_base_fn()
function = str(fn_tree)
lang = fn_tree.bracket_children[0]
return cls(
fn_tree=fn_tree,
function=curr_function,
inner_fns=inner_fns,
lang=lang,
**kwargs,
)
| 27.75641
| 74
| 0.593533
| 529
| 4,330
| 4.591682
| 0.170132
| 0.066694
| 0.034582
| 0.029642
| 0.804446
| 0.804446
| 0.804446
| 0.804446
| 0.804446
| 0.804446
| 0
| 0.002989
| 0.304619
| 4,330
| 155
| 75
| 27.935484
| 0.80372
| 0.106236
| 0
| 0.78
| 0
| 0
| 0.025964
| 0
| 0
| 0
| 0
| 0.019355
| 0.04
| 1
| 0.18
| false
| 0
| 0.04
| 0.05
| 0.4
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
d433da4ab832f36ae015ad663ddb197fa61d7cab
| 187
|
py
|
Python
|
engines/not_conns.py
|
djjohns/postgres_examples
|
c3e54dfa870e4cb457272beef8f4fc17d85c30c6
|
[
"MIT"
] | null | null | null |
engines/not_conns.py
|
djjohns/postgres_examples
|
c3e54dfa870e4cb457272beef8f4fc17d85c30c6
|
[
"MIT"
] | null | null | null |
engines/not_conns.py
|
djjohns/postgres_examples
|
c3e54dfa870e4cb457272beef8f4fc17d85c30c6
|
[
"MIT"
] | null | null | null |
import sqlalchemy
# db_name = sqlalchemy.create_engine('postgresql://user:password@host:port/db_name')
db_name = sqlalchemy.create_engine('postgresql://user:password@host:port/db_name')
| 37.4
| 84
| 0.802139
| 26
| 187
| 5.538462
| 0.423077
| 0.166667
| 0.222222
| 0.305556
| 0.888889
| 0.888889
| 0.888889
| 0.888889
| 0.888889
| 0.888889
| 0
| 0
| 0.053476
| 187
| 5
| 85
| 37.4
| 0.813559
| 0.438503
| 0
| 0
| 0
| 0
| 0.423077
| 0.423077
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.5
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
|
0
| 13
|
d478efe3bdf917a495dd99db29f0aa89406b3599
| 182
|
py
|
Python
|
hermes_fix/message_lib/__init__.py
|
yabov/hermes_fix
|
0a5e89fd15903a7ee0929e82b39879362e2e1008
|
[
"Apache-2.0"
] | 2
|
2020-02-20T15:00:35.000Z
|
2020-02-21T19:27:53.000Z
|
hermes_fix/message_lib/__init__.py
|
yabov/hermes_fix
|
0a5e89fd15903a7ee0929e82b39879362e2e1008
|
[
"Apache-2.0"
] | 3
|
2020-02-21T03:25:35.000Z
|
2020-02-21T18:37:42.000Z
|
hermes_fix/message_lib/__init__.py
|
yabov/hermes_fix
|
0a5e89fd15903a7ee0929e82b39879362e2e1008
|
[
"Apache-2.0"
] | null | null | null |
from . import FIX_4_0
from . import FIX_4_1
from . import FIX_4_2
from . import FIX_4_3
from . import FIX_4_4
from . import FIX_5_0
from . import FIX_5_0SP1
from . import FIX_5_0SP2
| 20.222222
| 24
| 0.78022
| 40
| 182
| 3.15
| 0.275
| 0.634921
| 0.825397
| 0.555556
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.12
| 0.175824
| 182
| 8
| 25
| 22.75
| 0.72
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
2e1aa3fbbb96ff4e040d2a0741d9579ec947195d
| 40,955
|
py
|
Python
|
end_of_month/migrations/0009_create_views_20200620_0842.py
|
uktrade/fadmin2
|
0f774400fb816c9ca30e30b25ae542135966e185
|
[
"MIT"
] | 3
|
2020-01-05T16:46:42.000Z
|
2021-08-02T08:08:39.000Z
|
end_of_month/migrations/0009_create_views_20200620_0842.py
|
uktrade/fadmin2
|
0f774400fb816c9ca30e30b25ae542135966e185
|
[
"MIT"
] | 30
|
2019-11-28T15:16:35.000Z
|
2021-08-16T14:49:58.000Z
|
end_of_month/migrations/0009_create_views_20200620_0842.py
|
uktrade/fadmin2
|
0f774400fb816c9ca30e30b25ae542135966e185
|
[
"MIT"
] | null | null | null |
# Generated by Django 2.2.10 on 2020-06-20 08:42
from django.db import migrations
def generate_view_forecast_drop_query(archived_period_name):
return f"DROP VIEW if exists budget_forecast_{archived_period_name}_view CASCADE;"
def generate_create_view_forecast_query(archived_period_name, archived_period_id):
drop_query = generate_view_forecast_drop_query(archived_period_name)
query = f'Create view budget_forecast_{archived_period_name}_view as '\
f'SELECT ROW_NUMBER () ' \
f'OVER (ORDER BY coalesce(b.financial_code_id, f.financial_code_id)) as id,' \
f'coalesce(b.financial_code_id, f.financial_code_id) as financial_code_id,' \
f'coalesce(b.financial_year_id, f.financial_year_id) as financial_year, ' \
f'coalesce(f.archived_period_id, b.archived_period_id) as archived_period_id, ' \
f'coalesce(amount, 0) as budget, ' \
f'coalesce(apr, 0) as apr, ' \
f'coalesce(may, 0) as may, ' \
f'coalesce(jun, 0) as jun, ' \
f'coalesce(jul, 0) as jul, ' \
f'coalesce(aug, 0) as aug, ' \
f'coalesce(sep, 0) as sep, ' \
f'coalesce(oct, 0) as oct, ' \
f'coalesce(nov, 0) as nov, ' \
f'coalesce("dec", 0) as "dec", ' \
f'coalesce(jan, 0) as jan, ' \
f'coalesce(feb, 0) as feb, ' \
f'coalesce(mar, 0) as mar, ' \
f'coalesce(adj1, 0) as adj1, ' \
f'coalesce(adj2, 0) as adj2, ' \
f'coalesce(adj3, 0) as adj3 ' \
f'FROM monthly_forecast_{archived_period_name} f ' \
f'FULL OUTER JOIN public.end_of_month_monthlytotalbudget b ' \
f'on b.financial_code_id = f.financial_code_id ' \
f'and b.financial_year_id = f.financial_year_id ' \
f'and b.archived_period_id = f.archived_period_id ' \
f'WHERE coalesce(f.archived_period_id, b.archived_period_id) = {archived_period_id};'
return f'{drop_query} {query}'
class Migration(migrations.Migration):
dependencies = [
('end_of_month', '0008_merge_20200527_1737'),
]
operations = [
migrations.RunSQL(
"""
DROP VIEW if exists monthly_forecast_apr CASCADE;
DROP VIEW if exists monthly_forecast_may CASCADE;
DROP VIEW if exists monthly_forecast_jun CASCADE;
DROP VIEW if exists monthly_forecast_jul CASCADE;
DROP VIEW if exists monthly_forecast_aug CASCADE;
DROP VIEW if exists monthly_forecast_sep CASCADE;
DROP VIEW if exists monthly_forecast_oct CASCADE;
DROP VIEW if exists monthly_forecast_nov CASCADE;
DROP VIEW if exists monthly_forecast_dec CASCADE;
DROP VIEW if exists monthly_forecast_jan CASCADE;
DROP VIEW if exists monthly_forecast_feb CASCADE;
DROP VIEW if exists monthly_forecast_mar CASCADE;
DROP VIEW if exists monthly_forecast_adj1 CASCADE;
DROP VIEW if exists monthly_forecast_adj2 CASCADE;
DROP VIEW if exists monthly_forecast_adj3 CASCADE;
CREATE VIEW monthly_forecast_apr as
SELECT 1 as archived_period_id, financial_code_id, financial_year_id,
SUM(CASE WHEN financial_period_id = 1 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS apr,
SUM(CASE WHEN financial_period_id = 2 and a.archived_period_id = 1 THEN amount ELSE NULL END) AS may,
SUM(CASE WHEN financial_period_id = 3 and a.archived_period_id = 1 THEN amount ELSE NULL END) AS jun,
SUM(CASE WHEN financial_period_id = 4 and a.archived_period_id = 1 THEN amount ELSE NULL END) AS jul,
SUM(CASE WHEN financial_period_id = 5 and a.archived_period_id = 1 THEN amount ELSE NULL END) AS aug,
SUM(CASE WHEN financial_period_id = 6 and a.archived_period_id = 1 THEN amount ELSE NULL END) AS sep,
SUM(CASE WHEN financial_period_id = 7 and a.archived_period_id = 1 THEN amount ELSE NULL END) AS oct,
SUM(CASE WHEN financial_period_id = 8 and a.archived_period_id = 1 THEN amount ELSE NULL END) AS nov,
SUM(CASE WHEN financial_period_id = 9 and a.archived_period_id = 1 THEN amount ELSE NULL END) AS "dec",
SUM(CASE WHEN financial_period_id = 10 and a.archived_period_id = 1 THEN amount ELSE NULL END) AS jan,
SUM(CASE WHEN financial_period_id = 11 and a.archived_period_id = 1 THEN amount ELSE NULL END) AS feb,
SUM(CASE WHEN financial_period_id = 12 and a.archived_period_id = 1 THEN amount ELSE NULL END) AS mar,
SUM(CASE WHEN financial_period_id = 13 and a.archived_period_id = 1 THEN amount ELSE NULL END) AS adj1 ,
SUM(CASE WHEN financial_period_id = 14 and a.archived_period_id = 1 THEN amount ELSE NULL END) AS adj2 ,
SUM(CASE WHEN financial_period_id = 15 and a.archived_period_id = 1 THEN amount ELSE NULL END) AS adj3
FROM forecast_forecastmonthlyfigure left outer join public.end_of_month_endofmonthstatus a
on forecast_forecastmonthlyfigure.archived_status_id = a.id
GROUP BY financial_code_id, financial_year_id;
CREATE VIEW monthly_forecast_may as
SELECT 2 as archived_period_id, financial_code_id, financial_year_id,
SUM(CASE WHEN financial_period_id = 1 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS apr,
SUM(CASE WHEN financial_period_id = 2 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS may,
SUM(CASE WHEN financial_period_id = 3 and a.archived_period_id = 2 THEN amount ELSE NULL END) AS jun,
SUM(CASE WHEN financial_period_id = 4 and a.archived_period_id = 2 THEN amount ELSE NULL END) AS jul,
SUM(CASE WHEN financial_period_id = 5 and a.archived_period_id = 2 THEN amount ELSE NULL END) AS aug,
SUM(CASE WHEN financial_period_id = 6 and a.archived_period_id = 2 THEN amount ELSE NULL END) AS sep,
SUM(CASE WHEN financial_period_id = 7 and a.archived_period_id = 2 THEN amount ELSE NULL END) AS oct,
SUM(CASE WHEN financial_period_id = 8 and a.archived_period_id = 2 THEN amount ELSE NULL END) AS nov,
SUM(CASE WHEN financial_period_id = 9 and a.archived_period_id = 2 THEN amount ELSE NULL END) AS "dec",
SUM(CASE WHEN financial_period_id = 10 and a.archived_period_id = 2 THEN amount ELSE NULL END) AS jan,
SUM(CASE WHEN financial_period_id = 11 and a.archived_period_id = 2 THEN amount ELSE NULL END) AS feb,
SUM(CASE WHEN financial_period_id = 12 and a.archived_period_id = 2 THEN amount ELSE NULL END) AS mar,
SUM(CASE WHEN financial_period_id = 13 and a.archived_period_id = 2 THEN amount ELSE NULL END) AS adj1 ,
SUM(CASE WHEN financial_period_id = 14 and a.archived_period_id = 2 THEN amount ELSE NULL END) AS adj2 ,
SUM(CASE WHEN financial_period_id = 15 and a.archived_period_id = 2 THEN amount ELSE NULL END) AS adj3
FROM forecast_forecastmonthlyfigure left outer join public.end_of_month_endofmonthstatus a
on forecast_forecastmonthlyfigure.archived_status_id = a.id
GROUP BY financial_code_id, financial_year_id;
CREATE VIEW monthly_forecast_jun as
SELECT 3 as archived_period_id, financial_code_id, financial_year_id,
SUM(CASE WHEN financial_period_id = 1 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS apr,
SUM(CASE WHEN financial_period_id = 2 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS may,
SUM(CASE WHEN financial_period_id = 3 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS jun,
SUM(CASE WHEN financial_period_id = 4 and a.archived_period_id = 3 THEN amount ELSE NULL END) AS jul,
SUM(CASE WHEN financial_period_id = 5 and a.archived_period_id = 3 THEN amount ELSE NULL END) AS aug,
SUM(CASE WHEN financial_period_id = 6 and a.archived_period_id = 3 THEN amount ELSE NULL END) AS sep,
SUM(CASE WHEN financial_period_id = 7 and a.archived_period_id = 3 THEN amount ELSE NULL END) AS oct,
SUM(CASE WHEN financial_period_id = 8 and a.archived_period_id = 3 THEN amount ELSE NULL END) AS nov,
SUM(CASE WHEN financial_period_id = 9 and a.archived_period_id = 3 THEN amount ELSE NULL END) AS "dec",
SUM(CASE WHEN financial_period_id = 10 and a.archived_period_id = 3 THEN amount ELSE NULL END) AS jan,
SUM(CASE WHEN financial_period_id = 11 and a.archived_period_id = 3 THEN amount ELSE NULL END) AS feb,
SUM(CASE WHEN financial_period_id = 12 and a.archived_period_id = 3 THEN amount ELSE NULL END) AS mar,
SUM(CASE WHEN financial_period_id = 13 and a.archived_period_id = 3 THEN amount ELSE NULL END) AS adj1 ,
SUM(CASE WHEN financial_period_id = 14 and a.archived_period_id = 3 THEN amount ELSE NULL END) AS adj2 ,
SUM(CASE WHEN financial_period_id = 15 and a.archived_period_id = 3 THEN amount ELSE NULL END) AS adj3
FROM forecast_forecastmonthlyfigure left outer join public.end_of_month_endofmonthstatus a
on forecast_forecastmonthlyfigure.archived_status_id = a.id
GROUP BY financial_code_id, financial_year_id;
CREATE VIEW monthly_forecast_jul as
SELECT 4 as archived_period_id, financial_code_id, financial_year_id,
SUM(CASE WHEN financial_period_id = 1 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS apr,
SUM(CASE WHEN financial_period_id = 2 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS may,
SUM(CASE WHEN financial_period_id = 3 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS jun,
SUM(CASE WHEN financial_period_id = 4 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS jul,
SUM(CASE WHEN financial_period_id = 5 and a.archived_period_id = 4 THEN amount ELSE NULL END) AS aug,
SUM(CASE WHEN financial_period_id = 6 and a.archived_period_id = 4 THEN amount ELSE NULL END) AS sep,
SUM(CASE WHEN financial_period_id = 7 and a.archived_period_id = 4 THEN amount ELSE NULL END) AS oct,
SUM(CASE WHEN financial_period_id = 8 and a.archived_period_id = 4 THEN amount ELSE NULL END) AS nov,
SUM(CASE WHEN financial_period_id = 9 and a.archived_period_id = 4 THEN amount ELSE NULL END) AS "dec",
SUM(CASE WHEN financial_period_id = 10 and a.archived_period_id = 4 THEN amount ELSE NULL END) AS jan,
SUM(CASE WHEN financial_period_id = 11 and a.archived_period_id = 4 THEN amount ELSE NULL END) AS feb,
SUM(CASE WHEN financial_period_id = 12 and a.archived_period_id = 4 THEN amount ELSE NULL END) AS mar,
SUM(CASE WHEN financial_period_id = 13 and a.archived_period_id = 4 THEN amount ELSE NULL END) AS adj1 ,
SUM(CASE WHEN financial_period_id = 14 and a.archived_period_id = 4 THEN amount ELSE NULL END) AS adj2 ,
SUM(CASE WHEN financial_period_id = 15 and a.archived_period_id = 4 THEN amount ELSE NULL END) AS adj3
FROM forecast_forecastmonthlyfigure left outer join public.end_of_month_endofmonthstatus a
on forecast_forecastmonthlyfigure.archived_status_id = a.id
GROUP BY financial_code_id, financial_year_id;
CREATE VIEW monthly_forecast_aug as
SELECT 5 as archived_period_id, financial_code_id, financial_year_id,
SUM(CASE WHEN financial_period_id = 1 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS apr,
SUM(CASE WHEN financial_period_id = 2 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS may,
SUM(CASE WHEN financial_period_id = 3 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS jun,
SUM(CASE WHEN financial_period_id = 4 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS jul,
SUM(CASE WHEN financial_period_id = 5 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS aug,
SUM(CASE WHEN financial_period_id = 6 and a.archived_period_id = 5 THEN amount ELSE NULL END) AS sep,
SUM(CASE WHEN financial_period_id = 7 and a.archived_period_id = 5 THEN amount ELSE NULL END) AS oct,
SUM(CASE WHEN financial_period_id = 8 and a.archived_period_id = 5 THEN amount ELSE NULL END) AS nov,
SUM(CASE WHEN financial_period_id = 9 and a.archived_period_id = 5 THEN amount ELSE NULL END) AS "dec",
SUM(CASE WHEN financial_period_id = 10 and a.archived_period_id = 5 THEN amount ELSE NULL END) AS jan,
SUM(CASE WHEN financial_period_id = 11 and a.archived_period_id = 5 THEN amount ELSE NULL END) AS feb,
SUM(CASE WHEN financial_period_id = 12 and a.archived_period_id = 5 THEN amount ELSE NULL END) AS mar,
SUM(CASE WHEN financial_period_id = 13 and a.archived_period_id = 5 THEN amount ELSE NULL END) AS adj1 ,
SUM(CASE WHEN financial_period_id = 14 and a.archived_period_id = 5 THEN amount ELSE NULL END) AS adj2 ,
SUM(CASE WHEN financial_period_id = 15 and a.archived_period_id = 5 THEN amount ELSE NULL END) AS adj3
FROM forecast_forecastmonthlyfigure left outer join public.end_of_month_endofmonthstatus a
on forecast_forecastmonthlyfigure.archived_status_id = a.id
GROUP BY financial_code_id, financial_year_id;
CREATE VIEW monthly_forecast_sep as
SELECT 6 as archived_period_id, financial_code_id, financial_year_id,
SUM(CASE WHEN financial_period_id = 1 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS apr,
SUM(CASE WHEN financial_period_id = 2 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS may,
SUM(CASE WHEN financial_period_id = 3 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS jun,
SUM(CASE WHEN financial_period_id = 4 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS jul,
SUM(CASE WHEN financial_period_id = 5 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS aug,
SUM(CASE WHEN financial_period_id = 6 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS sep,
SUM(CASE WHEN financial_period_id = 7 and a.archived_period_id = 6 THEN amount ELSE NULL END) AS oct,
SUM(CASE WHEN financial_period_id = 8 and a.archived_period_id = 6 THEN amount ELSE NULL END) AS nov,
SUM(CASE WHEN financial_period_id = 9 and a.archived_period_id = 6 THEN amount ELSE NULL END) AS "dec",
SUM(CASE WHEN financial_period_id = 10 and a.archived_period_id = 6 THEN amount ELSE NULL END) AS jan,
SUM(CASE WHEN financial_period_id = 11 and a.archived_period_id = 6 THEN amount ELSE NULL END) AS feb,
SUM(CASE WHEN financial_period_id = 12 and a.archived_period_id = 6 THEN amount ELSE NULL END) AS mar,
SUM(CASE WHEN financial_period_id = 13 and a.archived_period_id = 6 THEN amount ELSE NULL END) AS adj1 ,
SUM(CASE WHEN financial_period_id = 14 and a.archived_period_id = 6 THEN amount ELSE NULL END) AS adj2 ,
SUM(CASE WHEN financial_period_id = 15 and a.archived_period_id = 6 THEN amount ELSE NULL END) AS adj3
FROM forecast_forecastmonthlyfigure left outer join public.end_of_month_endofmonthstatus a
on forecast_forecastmonthlyfigure.archived_status_id = a.id
GROUP BY financial_code_id, financial_year_id;
CREATE VIEW monthly_forecast_oct as
SELECT 7 as archived_period_id, financial_code_id, financial_year_id,
SUM(CASE WHEN financial_period_id = 1 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS apr,
SUM(CASE WHEN financial_period_id = 2 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS may,
SUM(CASE WHEN financial_period_id = 3 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS jun,
SUM(CASE WHEN financial_period_id = 4 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS jul,
SUM(CASE WHEN financial_period_id = 5 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS aug,
SUM(CASE WHEN financial_period_id = 6 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS sep,
SUM(CASE WHEN financial_period_id = 7 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS oct,
SUM(CASE WHEN financial_period_id = 8 and a.archived_period_id = 7 THEN amount ELSE NULL END) AS nov,
SUM(CASE WHEN financial_period_id = 9 and a.archived_period_id = 7 THEN amount ELSE NULL END) AS "dec",
SUM(CASE WHEN financial_period_id = 10 and a.archived_period_id = 7 THEN amount ELSE NULL END) AS jan,
SUM(CASE WHEN financial_period_id = 11 and a.archived_period_id = 7 THEN amount ELSE NULL END) AS feb,
SUM(CASE WHEN financial_period_id = 12 and a.archived_period_id = 7 THEN amount ELSE NULL END) AS mar,
SUM(CASE WHEN financial_period_id = 13 and a.archived_period_id = 7 THEN amount ELSE NULL END) AS adj1 ,
SUM(CASE WHEN financial_period_id = 14 and a.archived_period_id = 7 THEN amount ELSE NULL END) AS adj2 ,
SUM(CASE WHEN financial_period_id = 15 and a.archived_period_id = 7 THEN amount ELSE NULL END) AS adj3
FROM forecast_forecastmonthlyfigure left outer join public.end_of_month_endofmonthstatus a
on forecast_forecastmonthlyfigure.archived_status_id = a.id
GROUP BY financial_code_id, financial_year_id;
CREATE VIEW monthly_forecast_nov as
SELECT 8 as archived_period_id, financial_code_id, financial_year_id,
SUM(CASE WHEN financial_period_id = 1 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS apr,
SUM(CASE WHEN financial_period_id = 2 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS may,
SUM(CASE WHEN financial_period_id = 3 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS jun,
SUM(CASE WHEN financial_period_id = 4 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS jul,
SUM(CASE WHEN financial_period_id = 5 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS aug,
SUM(CASE WHEN financial_period_id = 6 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS sep,
SUM(CASE WHEN financial_period_id = 7 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS oct,
SUM(CASE WHEN financial_period_id = 8 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS nov,
SUM(CASE WHEN financial_period_id = 9 and a.archived_period_id = 8 THEN amount ELSE NULL END) AS "dec",
SUM(CASE WHEN financial_period_id = 10 and a.archived_period_id = 8 THEN amount ELSE NULL END) AS jan,
SUM(CASE WHEN financial_period_id = 11 and a.archived_period_id = 8 THEN amount ELSE NULL END) AS feb,
SUM(CASE WHEN financial_period_id = 12 and a.archived_period_id = 8 THEN amount ELSE NULL END) AS mar,
SUM(CASE WHEN financial_period_id = 13 and a.archived_period_id = 8 THEN amount ELSE NULL END) AS adj1 ,
SUM(CASE WHEN financial_period_id = 14 and a.archived_period_id = 8 THEN amount ELSE NULL END) AS adj2 ,
SUM(CASE WHEN financial_period_id = 15 and a.archived_period_id = 8 THEN amount ELSE NULL END) AS adj3
FROM forecast_forecastmonthlyfigure left outer join public.end_of_month_endofmonthstatus a
on forecast_forecastmonthlyfigure.archived_status_id = a.id
GROUP BY financial_code_id, financial_year_id;
CREATE VIEW monthly_forecast_dec as
SELECT 9 as archived_period_id, financial_code_id, financial_year_id,
SUM(CASE WHEN financial_period_id = 1 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS apr,
SUM(CASE WHEN financial_period_id = 2 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS may,
SUM(CASE WHEN financial_period_id = 3 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS jun,
SUM(CASE WHEN financial_period_id = 4 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS jul,
SUM(CASE WHEN financial_period_id = 5 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS aug,
SUM(CASE WHEN financial_period_id = 6 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS sep,
SUM(CASE WHEN financial_period_id = 7 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS oct,
SUM(CASE WHEN financial_period_id = 8 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS nov,
SUM(CASE WHEN financial_period_id = 9 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS "dec",
SUM(CASE WHEN financial_period_id = 10 and a.archived_period_id = 9 THEN amount ELSE NULL END) AS jan,
SUM(CASE WHEN financial_period_id = 11 and a.archived_period_id = 9 THEN amount ELSE NULL END) AS feb,
SUM(CASE WHEN financial_period_id = 12 and a.archived_period_id = 9 THEN amount ELSE NULL END) AS mar,
SUM(CASE WHEN financial_period_id = 13 and a.archived_period_id = 9 THEN amount ELSE NULL END) AS adj1 ,
SUM(CASE WHEN financial_period_id = 14 and a.archived_period_id = 9 THEN amount ELSE NULL END) AS adj2 ,
SUM(CASE WHEN financial_period_id = 15 and a.archived_period_id = 9 THEN amount ELSE NULL END) AS adj3
FROM forecast_forecastmonthlyfigure left outer join public.end_of_month_endofmonthstatus a
on forecast_forecastmonthlyfigure.archived_status_id = a.id
GROUP BY financial_code_id, financial_year_id;
CREATE VIEW monthly_forecast_jan as
SELECT 10 as archived_period_id, financial_code_id, financial_year_id,
SUM(CASE WHEN financial_period_id = 1 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS apr,
SUM(CASE WHEN financial_period_id = 2 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS may,
SUM(CASE WHEN financial_period_id = 3 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS jun,
SUM(CASE WHEN financial_period_id = 4 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS jul,
SUM(CASE WHEN financial_period_id = 5 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS aug,
SUM(CASE WHEN financial_period_id = 6 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS sep,
SUM(CASE WHEN financial_period_id = 7 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS oct,
SUM(CASE WHEN financial_period_id = 8 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS nov,
SUM(CASE WHEN financial_period_id = 9 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS "dec",
SUM(CASE WHEN financial_period_id = 10 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS jan,
SUM(CASE WHEN financial_period_id = 11 and a.archived_period_id = 10 THEN amount ELSE NULL END) AS feb,
SUM(CASE WHEN financial_period_id = 12 and a.archived_period_id = 10 THEN amount ELSE NULL END) AS mar,
SUM(CASE WHEN financial_period_id = 13 and a.archived_period_id = 10 THEN amount ELSE NULL END) AS adj1 ,
SUM(CASE WHEN financial_period_id = 14 and a.archived_period_id = 10 THEN amount ELSE NULL END) AS adj2 ,
SUM(CASE WHEN financial_period_id = 15 and a.archived_period_id = 10 THEN amount ELSE NULL END) AS adj3
FROM forecast_forecastmonthlyfigure left outer join public.end_of_month_endofmonthstatus a
on forecast_forecastmonthlyfigure.archived_status_id = a.id
GROUP BY financial_code_id, financial_year_id;
CREATE VIEW monthly_forecast_feb as
SELECT 11 as archived_period_id, financial_code_id, financial_year_id,
SUM(CASE WHEN financial_period_id = 1 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS apr,
SUM(CASE WHEN financial_period_id = 2 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS may,
SUM(CASE WHEN financial_period_id = 3 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS jun,
SUM(CASE WHEN financial_period_id = 4 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS jul,
SUM(CASE WHEN financial_period_id = 5 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS aug,
SUM(CASE WHEN financial_period_id = 6 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS sep,
SUM(CASE WHEN financial_period_id = 7 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS oct,
SUM(CASE WHEN financial_period_id = 8 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS nov,
SUM(CASE WHEN financial_period_id = 9 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS "dec",
SUM(CASE WHEN financial_period_id = 10 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS jan,
SUM(CASE WHEN financial_period_id = 11 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS feb,
SUM(CASE WHEN financial_period_id = 12 and a.archived_period_id = 11 THEN amount ELSE NULL END) AS mar,
SUM(CASE WHEN financial_period_id = 13 and a.archived_period_id = 11 THEN amount ELSE NULL END) AS adj1 ,
SUM(CASE WHEN financial_period_id = 14 and a.archived_period_id = 11 THEN amount ELSE NULL END) AS adj2 ,
SUM(CASE WHEN financial_period_id = 15 and a.archived_period_id = 11 THEN amount ELSE NULL END) AS adj3
FROM forecast_forecastmonthlyfigure left outer join public.end_of_month_endofmonthstatus a
on forecast_forecastmonthlyfigure.archived_status_id = a.id
GROUP BY financial_code_id, financial_year_id;
CREATE VIEW monthly_forecast_mar as
SELECT 12 as archived_period_id, financial_code_id, financial_year_id,
SUM(CASE WHEN financial_period_id = 1 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS apr,
SUM(CASE WHEN financial_period_id = 2 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS may,
SUM(CASE WHEN financial_period_id = 3 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS jun,
SUM(CASE WHEN financial_period_id = 4 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS jul,
SUM(CASE WHEN financial_period_id = 5 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS aug,
SUM(CASE WHEN financial_period_id = 6 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS sep,
SUM(CASE WHEN financial_period_id = 7 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS oct,
SUM(CASE WHEN financial_period_id = 8 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS nov,
SUM(CASE WHEN financial_period_id = 9 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS "dec",
SUM(CASE WHEN financial_period_id = 10 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS jan,
SUM(CASE WHEN financial_period_id = 11 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS feb,
SUM(CASE WHEN financial_period_id = 12 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS mar,
SUM(CASE WHEN financial_period_id = 13 and a.archived_period_id = 12 THEN amount ELSE NULL END) AS adj1 ,
SUM(CASE WHEN financial_period_id = 14 and a.archived_period_id = 12 THEN amount ELSE NULL END) AS adj2 ,
SUM(CASE WHEN financial_period_id = 15 and a.archived_period_id = 12 THEN amount ELSE NULL END) AS adj3
FROM forecast_forecastmonthlyfigure left outer join public.end_of_month_endofmonthstatus a
on forecast_forecastmonthlyfigure.archived_status_id = a.id
GROUP BY financial_code_id, financial_year_id;
CREATE VIEW monthly_forecast_adj1 as
SELECT 13 as archived_period_id, financial_code_id, financial_year_id,
SUM(CASE WHEN financial_period_id = 1 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS apr,
SUM(CASE WHEN financial_period_id = 2 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS may,
SUM(CASE WHEN financial_period_id = 3 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS jun,
SUM(CASE WHEN financial_period_id = 4 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS jul,
SUM(CASE WHEN financial_period_id = 5 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS aug,
SUM(CASE WHEN financial_period_id = 6 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS sep,
SUM(CASE WHEN financial_period_id = 7 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS oct,
SUM(CASE WHEN financial_period_id = 8 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS nov,
SUM(CASE WHEN financial_period_id = 9 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS "dec",
SUM(CASE WHEN financial_period_id = 10 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS jan,
SUM(CASE WHEN financial_period_id = 11 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS feb,
SUM(CASE WHEN financial_period_id = 12 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS mar,
SUM(CASE WHEN financial_period_id = 13 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS adj1 ,
SUM(CASE WHEN financial_period_id = 14 and a.archived_period_id = 13 THEN amount ELSE NULL END) AS adj2 ,
SUM(CASE WHEN financial_period_id = 15 and a.archived_period_id = 13 THEN amount ELSE NULL END) AS adj3
FROM forecast_forecastmonthlyfigure left outer join public.end_of_month_endofmonthstatus a
on forecast_forecastmonthlyfigure.archived_status_id = a.id
GROUP BY financial_code_id, financial_year_id;
CREATE VIEW monthly_forecast_adj2 as
SELECT 14 as archived_period_id, financial_code_id, financial_year_id,
SUM(CASE WHEN financial_period_id = 1 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS apr,
SUM(CASE WHEN financial_period_id = 2 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS may,
SUM(CASE WHEN financial_period_id = 3 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS jun,
SUM(CASE WHEN financial_period_id = 4 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS jul,
SUM(CASE WHEN financial_period_id = 5 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS aug,
SUM(CASE WHEN financial_period_id = 6 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS sep,
SUM(CASE WHEN financial_period_id = 7 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS oct,
SUM(CASE WHEN financial_period_id = 8 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS nov,
SUM(CASE WHEN financial_period_id = 9 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS "dec",
SUM(CASE WHEN financial_period_id = 10 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS jan,
SUM(CASE WHEN financial_period_id = 11 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS feb,
SUM(CASE WHEN financial_period_id = 12 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS mar,
SUM(CASE WHEN financial_period_id = 13 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS adj1 ,
SUM(CASE WHEN financial_period_id = 14 and a.archived_period_id = 14 THEN amount ELSE NULL END) AS adj2 ,
SUM(CASE WHEN financial_period_id = 15 and a.archived_period_id = 14 THEN amount ELSE NULL END) AS adj3
FROM forecast_forecastmonthlyfigure left outer join public.end_of_month_endofmonthstatus a
on forecast_forecastmonthlyfigure.archived_status_id = a.id
GROUP BY financial_code_id, financial_year_id;
CREATE VIEW monthly_forecast_adj3 as
SELECT 15 as archived_period_id, financial_code_id, financial_year_id,
SUM(CASE WHEN financial_period_id = 1 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS apr,
SUM(CASE WHEN financial_period_id = 2 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS may,
SUM(CASE WHEN financial_period_id = 3 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS jun,
SUM(CASE WHEN financial_period_id = 4 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS jul,
SUM(CASE WHEN financial_period_id = 5 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS aug,
SUM(CASE WHEN financial_period_id = 6 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS sep,
SUM(CASE WHEN financial_period_id = 7 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS oct,
SUM(CASE WHEN financial_period_id = 8 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS nov,
SUM(CASE WHEN financial_period_id = 9 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS "dec",
SUM(CASE WHEN financial_period_id = 10 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS jan,
SUM(CASE WHEN financial_period_id = 11 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS feb,
SUM(CASE WHEN financial_period_id = 12 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS mar,
SUM(CASE WHEN financial_period_id = 13 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS adj1 ,
SUM(CASE WHEN financial_period_id = 14 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS adj2 ,
SUM(CASE WHEN financial_period_id = 15 and a.archived_period_id IS NULL THEN amount ELSE NULL END) AS adj3
FROM forecast_forecastmonthlyfigure left outer join public.end_of_month_endofmonthstatus a
on forecast_forecastmonthlyfigure.archived_status_id = a.id
GROUP BY financial_code_id, financial_year_id;
""",
"""
DROP VIEW if exists monthly_forecast_apr CASCADE;
DROP VIEW if exists monthly_forecast_may CASCADE;
DROP VIEW if exists monthly_forecast_jun CASCADE;
DROP VIEW if exists monthly_forecast_jul CASCADE;
DROP VIEW if exists monthly_forecast_aug CASCADE;
DROP VIEW if exists monthly_forecast_sep CASCADE;
DROP VIEW if exists monthly_forecast_oct CASCADE;
DROP VIEW if exists monthly_forecast_nov CASCADE;
DROP VIEW if exists monthly_forecast_dec CASCADE;
DROP VIEW if exists monthly_forecast_jan CASCADE;
DROP VIEW if exists monthly_forecast_feb CASCADE;
DROP VIEW if exists monthly_forecast_mar CASCADE;
DROP VIEW if exists monthly_forecast_adj1 CASCADE;
DROP VIEW if exists monthly_forecast_adj2 CASCADE;
DROP VIEW if exists monthly_forecast_adj3 CASCADE;
""",
),
migrations.RunSQL(generate_create_view_forecast_query('apr', 1),
generate_view_forecast_drop_query('apr')),
migrations.RunSQL(generate_create_view_forecast_query('may', 2),
generate_view_forecast_drop_query('may')),
migrations.RunSQL(generate_create_view_forecast_query('jun', 3),
generate_view_forecast_drop_query('jun')),
migrations.RunSQL(generate_create_view_forecast_query('jul', 4),
generate_view_forecast_drop_query('jul')),
migrations.RunSQL(generate_create_view_forecast_query('aug', 5),
generate_view_forecast_drop_query('aug')),
migrations.RunSQL(generate_create_view_forecast_query('sep', 6),
generate_view_forecast_drop_query('sep')),
migrations.RunSQL(generate_create_view_forecast_query('oct', 7),
generate_view_forecast_drop_query('oct')),
migrations.RunSQL(generate_create_view_forecast_query('nov', 8),
generate_view_forecast_drop_query('nov')),
migrations.RunSQL(generate_create_view_forecast_query('dec', 9),
generate_view_forecast_drop_query('dec')),
migrations.RunSQL(generate_create_view_forecast_query('jan', 10),
generate_view_forecast_drop_query('jan')),
migrations.RunSQL(generate_create_view_forecast_query('feb', 11),
generate_view_forecast_drop_query('feb')),
migrations.RunSQL(generate_create_view_forecast_query('mar', 12),
generate_view_forecast_drop_query('mar')),
migrations.RunSQL(generate_create_view_forecast_query('adj1', 13),
generate_view_forecast_drop_query('adj1')),
migrations.RunSQL(generate_create_view_forecast_query('adj2', 14),
generate_view_forecast_drop_query('adj2')),
migrations.RunSQL(generate_create_view_forecast_query('adj3', 15),
generate_view_forecast_drop_query('adj3')),
]
| 94.584296
| 131
| 0.655598
| 6,084
| 40,955
| 4.175049
| 0.017423
| 0.149285
| 0.156844
| 0.177158
| 0.955947
| 0.93705
| 0.933231
| 0.905476
| 0.897996
| 0.894689
| 0
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| 132
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0
| 8
|
cf479ec08dc3f39a5da686cb3993e3d805474472
| 5,798
|
py
|
Python
|
tests/test_spectrum_similarity_functions.py
|
adelabriere/matchms
|
a580539e6db3f4f00e12097983b85b2d494159ba
|
[
"Apache-2.0"
] | 64
|
2020-06-22T14:59:21.000Z
|
2022-03-30T00:50:13.000Z
|
tests/test_spectrum_similarity_functions.py
|
adelabriere/matchms
|
a580539e6db3f4f00e12097983b85b2d494159ba
|
[
"Apache-2.0"
] | 561
|
2020-03-19T14:35:59.000Z
|
2022-03-29T10:11:12.000Z
|
tests/test_spectrum_similarity_functions.py
|
adelabriere/matchms
|
a580539e6db3f4f00e12097983b85b2d494159ba
|
[
"Apache-2.0"
] | 32
|
2020-05-06T07:35:59.000Z
|
2022-03-10T09:03:45.000Z
|
"""Test function to collect matching peaks. Run tests both on numba compiled and
pure Python version."""
import numpy
import pytest
from matchms.similarity.spectrum_similarity_functions import collect_peak_pairs
from matchms.similarity.spectrum_similarity_functions import find_matches
from matchms.similarity.spectrum_similarity_functions import score_best_matches
@pytest.mark.parametrize("shift, expected_pairs, expected_matches",
[(0.0, [[2., 2., 1.], [3., 3., 1.]], (2, 3)),
(-5.0, [[0., 0., 0.01], [1., 1., 0.01]], (2, 3))])
def test_collect_peak_pairs_compiled(shift, expected_pairs, expected_matches):
"""Test finding expected peak matches for given tolerance."""
spec1 = numpy.array([[100, 200, 300, 500],
[0.1, 0.1, 1.0, 1.0]], dtype="float").T
spec2 = numpy.array([[105, 205.1, 300, 500.1],
[0.1, 0.1, 1.0, 1.0]], dtype="float").T
matching_pairs = numpy.array(collect_peak_pairs(spec1, spec2, tolerance=0.2, shift=shift))
assert matching_pairs.shape == expected_matches, "Expected different number of matching peaks"
assert numpy.allclose(matching_pairs, numpy.array(expected_pairs), atol=1e-8), "Expected different values."
@pytest.mark.parametrize("shift, expected_pairs, expected_matches",
[(0.0, [[2., 2., 1.], [3., 3., 1.]], (2, 3)),
(-5.0, [[0., 0., 0.01], [1., 1., 0.01]], (2, 3))])
def test_collect_peak_pairs(shift, expected_pairs, expected_matches):
"""Test finding expected peak matches for tolerance=0.2 and given shift."""
spec1 = numpy.array([[100, 200, 300, 500],
[0.1, 0.1, 1.0, 1.0]], dtype="float").T
spec2 = numpy.array([[105, 205.1, 300, 500.1],
[0.1, 0.1, 1.0, 1.0]], dtype="float").T
matching_pairs = numpy.array(collect_peak_pairs.py_func(spec1, spec2, tolerance=0.2, shift=shift))
assert matching_pairs.shape == expected_matches, "Expected different number of matching peaks"
assert numpy.allclose(matching_pairs, numpy.array(expected_pairs), atol=1e-8), "Expected different values."
@pytest.mark.parametrize("numba_compiled", [True, False])
def test_collect_peak_pairs_no_matches(numba_compiled):
"""Test function for no matching peaks."""
shift = -20.0
spec1 = numpy.array([[100, 200, 300, 500],
[0.1, 0.1, 1.0, 1.0]], dtype="float").T
spec2 = numpy.array([[105, 205.1, 300, 500.1],
[0.1, 0.1, 1.0, 1.0]], dtype="float").T
if numba_compiled:
matching_pairs = collect_peak_pairs(spec1, spec2, tolerance=0.2, shift=shift)
else:
matching_pairs = collect_peak_pairs.py_func(spec1, spec2, tolerance=0.2, shift=shift)
assert matching_pairs is None, "Expected pairs to be None."
@pytest.mark.parametrize("numba_compiled", [True, False])
def test_find_matches_shifted(numba_compiled):
"""Test finding matches with shifted peaks."""
shift = -5.0
spec1_mz = numpy.array([100, 200, 300, 500], dtype="float")
spec2_mz = numpy.array([105, 205.1, 300, 304.99, 500.1], dtype="float")
expected_matches = [(0, 0), (1, 1), (2, 3)]
if numba_compiled:
matches = find_matches(spec1_mz, spec2_mz, tolerance=0.2, shift=shift)
else:
matches = find_matches.py_func(spec1_mz, spec2_mz, tolerance=0.2, shift=shift)
assert expected_matches == matches, "Expected different matches."
@pytest.mark.parametrize("numba_compiled", [True, False])
def test_find_matches_no_matches(numba_compiled):
"""Test function for no matching peaks."""
shift = -20.0
spec1_mz = numpy.array([100, 200, 300, 500], dtype="float")
spec2_mz = numpy.array([105, 205.1, 300, 500.1], dtype="float")
if numba_compiled:
matches = find_matches(spec1_mz, spec2_mz, tolerance=0.2, shift=shift)
else:
matches = find_matches.py_func(spec1_mz, spec2_mz, tolerance=0.2, shift=shift)
assert matches == [], "Expected empty list of matches."
@pytest.mark.parametrize("matching_pairs, expected_score",
[([[2., 2., 1.], [3., 3., 1.]], (0.990099009900, 2)),
([[0., 0., 0.01], [1., 1., 0.01]], (0.009900990099, 2))])
def test_score_best_matches_compiled(matching_pairs, expected_score):
"""Test finding expected peak matches for given tolerance."""
matching_pairs = numpy.array(matching_pairs)
spec1 = numpy.array([[100, 200, 300, 500],
[0.1, 0.1, 1.0, 1.0]], dtype="float").T
spec2 = numpy.array([[105, 205.1, 300, 500.1],
[0.1, 0.1, 1.0, 1.0]], dtype="float").T
score, matches = score_best_matches(matching_pairs, spec1, spec2)
assert score == pytest.approx(expected_score[0], 1e-6), "Expected different score"
assert matches == expected_score[1], "Expected different matches."
@pytest.mark.parametrize("matching_pairs, expected_score",
[([[2., 2., 1.], [3., 3., 1.]], (0.990099009900, 2)),
([[0., 0., 0.01], [1., 1., 0.01]], (0.009900990099, 2))])
def test_score_best_matches(matching_pairs, expected_score):
"""Test finding expected peak matches for given tolerance."""
matching_pairs = numpy.array(matching_pairs)
spec1 = numpy.array([[100, 200, 300, 500],
[0.1, 0.1, 1.0, 1.0]], dtype="float").T
spec2 = numpy.array([[105, 205.1, 300, 500.1],
[0.1, 0.1, 1.0, 1.0]], dtype="float").T
score, matches = score_best_matches.py_func(matching_pairs, spec1, spec2)
assert score == pytest.approx(expected_score[0], 1e-6), "Expected different score"
assert matches == expected_score[1], "Expected different matches."
| 48.316667
| 111
| 0.627113
| 825
| 5,798
| 4.261818
| 0.107879
| 0.023322
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| 5,798
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| 48.722689
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| 1
| 0.083333
| false
| 0
| 0.059524
| 0
| 0.142857
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
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| 1
| 0
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0
| 7
|
cf5cb7a758b08bd5660d7d5510aaeeaabe086674
| 57,349
|
py
|
Python
|
pm/models/coach_social_activity_friends.py
|
aosojnik/pipeline-manager-features-models
|
e5232f1c1b2073253a1c505dc9fff0d3d839dd6c
|
[
"MIT"
] | null | null | null |
pm/models/coach_social_activity_friends.py
|
aosojnik/pipeline-manager-features-models
|
e5232f1c1b2073253a1c505dc9fff0d3d839dd6c
|
[
"MIT"
] | null | null | null |
pm/models/coach_social_activity_friends.py
|
aosojnik/pipeline-manager-features-models
|
e5232f1c1b2073253a1c505dc9fff0d3d839dd6c
|
[
"MIT"
] | null | null | null |
##################################################################################
##########--this is an autogenerated python model definition for proDEX--#########
##--original file: Friends_Coaching_v05_forprodex.dxi --##
##################################################################################
from .lib.proDEX import *
coach_social_activity_friends = Node()
situ_social_activity_friends = Atrib()
feat_social_activity_friends_qualitative_lowest = Atrib()
profile_social_invite_possible_friends = Atrib()
profile_social_interaction_preferrence = Atrib()
coach_social_activity_friends.setName('coach_social_activity_friends')
situ_social_activity_friends.setName('situ_social_activity_friends')
feat_social_activity_friends_qualitative_lowest.setName('feat_social_activity_friends_qualitative_lowest')
profile_social_invite_possible_friends.setName('profile_social_invite_possible_friends')
profile_social_interaction_preferrence.setName('profile_social_interaction_preferrence')
coach_social_activity_friends.setValues(['Suggest_going_out_to_an_event_or_social_place_together', 'Suggest_calling', 'Suggest_visit', 'no_action', 'Suggest_going_out_to_an_event_or_social_place', 'Send_positive_message'])
situ_social_activity_friends.setValues(['very_low', 'low', 'medium', 'high', 'very_high'])
feat_social_activity_friends_qualitative_lowest.setValues(['calls', 'visits', 'together_outside', 'none'])
profile_social_invite_possible_friends.setValues(['yes', 'no'])
profile_social_interaction_preferrence.setValues(['to_PU', 'to_SU', 'no_preference'])
coach_social_activity_friends.addChild(situ_social_activity_friends)
situ_social_activity_friends.setParent(coach_social_activity_friends)
coach_social_activity_friends.addChild(feat_social_activity_friends_qualitative_lowest)
feat_social_activity_friends_qualitative_lowest.setParent(coach_social_activity_friends)
coach_social_activity_friends.addChild(profile_social_invite_possible_friends)
profile_social_invite_possible_friends.setParent(coach_social_activity_friends)
coach_social_activity_friends.addChild(profile_social_interaction_preferrence)
profile_social_interaction_preferrence.setParent(coach_social_activity_friends)
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'calls', situ_social_activity_friends:'very_low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 1.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'calls', situ_social_activity_friends:'very_low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 1.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'calls', situ_social_activity_friends:'very_low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 1.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'calls', situ_social_activity_friends:'very_low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 1.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'calls', situ_social_activity_friends:'very_low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 1.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'calls', situ_social_activity_friends:'very_low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 1.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'visits', situ_social_activity_friends:'very_low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 1.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'visits', situ_social_activity_friends:'very_low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 1.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'visits', situ_social_activity_friends:'very_low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 1.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'visits', situ_social_activity_friends:'very_low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 1.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'visits', situ_social_activity_friends:'very_low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.5, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.5, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'visits', situ_social_activity_friends:'very_low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.3333333333333333, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.6666666666666666, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'together_outside', situ_social_activity_friends:'very_low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 1.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'together_outside', situ_social_activity_friends:'very_low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 1.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'together_outside', situ_social_activity_friends:'very_low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.5, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.5, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'together_outside', situ_social_activity_friends:'very_low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 1.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'together_outside', situ_social_activity_friends:'very_low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.3333333333333333, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.6666666666666666, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'together_outside', situ_social_activity_friends:'very_low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 1.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'none', situ_social_activity_friends:'very_low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 1.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'none', situ_social_activity_friends:'very_low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 1.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'none', situ_social_activity_friends:'very_low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 1.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'none', situ_social_activity_friends:'very_low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.5, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.5, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'none', situ_social_activity_friends:'very_low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.3333333333333333, 'Suggest_calling': 0.3333333333333333, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.3333333333333333, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'none', situ_social_activity_friends:'very_low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.2, 'Suggest_calling': 0.4, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.4, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'calls', situ_social_activity_friends:'low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 1.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'calls', situ_social_activity_friends:'low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 1.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'calls', situ_social_activity_friends:'low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 1.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'calls', situ_social_activity_friends:'low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 1.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'calls', situ_social_activity_friends:'low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 1.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'calls', situ_social_activity_friends:'low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 1.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'visits', situ_social_activity_friends:'low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 1.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'visits', situ_social_activity_friends:'low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 1.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'visits', situ_social_activity_friends:'low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 1.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'visits', situ_social_activity_friends:'low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 1.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'visits', situ_social_activity_friends:'low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.5, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.5, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'visits', situ_social_activity_friends:'low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.3333333333333333, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.6666666666666666, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'together_outside', situ_social_activity_friends:'low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 1.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'together_outside', situ_social_activity_friends:'low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 1.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'together_outside', situ_social_activity_friends:'low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.5, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.5, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'together_outside', situ_social_activity_friends:'low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 1.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'together_outside', situ_social_activity_friends:'low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.3333333333333333, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.6666666666666666, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'together_outside', situ_social_activity_friends:'low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 1.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'none', situ_social_activity_friends:'low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 1.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'none', situ_social_activity_friends:'low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 1.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'none', situ_social_activity_friends:'low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 1.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'none', situ_social_activity_friends:'low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.5, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.5, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'none', situ_social_activity_friends:'low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.3333333333333333, 'Suggest_calling': 0.3333333333333333, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.3333333333333333, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'none', situ_social_activity_friends:'low'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.2, 'Suggest_calling': 0.4, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.4, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'calls', situ_social_activity_friends:'medium'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 1.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'calls', situ_social_activity_friends:'medium'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 1.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'calls', situ_social_activity_friends:'medium'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 1.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'calls', situ_social_activity_friends:'medium'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 1.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'calls', situ_social_activity_friends:'medium'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 1.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'calls', situ_social_activity_friends:'medium'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 1.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'visits', situ_social_activity_friends:'medium'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 1.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'visits', situ_social_activity_friends:'medium'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 1.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'visits', situ_social_activity_friends:'medium'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 1.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'visits', situ_social_activity_friends:'medium'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 1.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'visits', situ_social_activity_friends:'medium'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.5, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.5, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'visits', situ_social_activity_friends:'medium'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.3333333333333333, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.6666666666666666, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'together_outside', situ_social_activity_friends:'medium'}, {'Suggest_going_out_to_an_event_or_social_place_together': 1.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'together_outside', situ_social_activity_friends:'medium'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 1.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'together_outside', situ_social_activity_friends:'medium'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.5, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.5, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'together_outside', situ_social_activity_friends:'medium'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 1.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'together_outside', situ_social_activity_friends:'medium'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.3333333333333333, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.6666666666666666, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'together_outside', situ_social_activity_friends:'medium'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 1.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'none', situ_social_activity_friends:'medium'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 1.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'none', situ_social_activity_friends:'medium'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 1.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'none', situ_social_activity_friends:'medium'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 1.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'none', situ_social_activity_friends:'medium'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.5, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.5, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'none', situ_social_activity_friends:'medium'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.3333333333333333, 'Suggest_calling': 0.3333333333333333, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.3333333333333333, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'none', situ_social_activity_friends:'medium'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.2, 'Suggest_calling': 0.4, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.4, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'calls', situ_social_activity_friends:'high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 1.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'calls', situ_social_activity_friends:'high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 1.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'calls', situ_social_activity_friends:'high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 1.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'calls', situ_social_activity_friends:'high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 1.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'calls', situ_social_activity_friends:'high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 1.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'calls', situ_social_activity_friends:'high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 1.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'visits', situ_social_activity_friends:'high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 1.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'visits', situ_social_activity_friends:'high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 1.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'visits', situ_social_activity_friends:'high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 1.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'visits', situ_social_activity_friends:'high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 1.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'visits', situ_social_activity_friends:'high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 1.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'visits', situ_social_activity_friends:'high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 1.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'together_outside', situ_social_activity_friends:'high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 1.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'together_outside', situ_social_activity_friends:'high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 1.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'together_outside', situ_social_activity_friends:'high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 1.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'together_outside', situ_social_activity_friends:'high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 1.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'together_outside', situ_social_activity_friends:'high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 1.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'together_outside', situ_social_activity_friends:'high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 1.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'none', situ_social_activity_friends:'high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 1.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'none', situ_social_activity_friends:'high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 1.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'none', situ_social_activity_friends:'high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 1.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'none', situ_social_activity_friends:'high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 1.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'none', situ_social_activity_friends:'high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 1.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'none', situ_social_activity_friends:'high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 0.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 1.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'calls', situ_social_activity_friends:'very_high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 1.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'calls', situ_social_activity_friends:'very_high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 1.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'calls', situ_social_activity_friends:'very_high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 1.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'calls', situ_social_activity_friends:'very_high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 1.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'calls', situ_social_activity_friends:'very_high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 1.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'calls', situ_social_activity_friends:'very_high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 1.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'visits', situ_social_activity_friends:'very_high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 1.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'visits', situ_social_activity_friends:'very_high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 1.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'visits', situ_social_activity_friends:'very_high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 1.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'visits', situ_social_activity_friends:'very_high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 1.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'visits', situ_social_activity_friends:'very_high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 1.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'visits', situ_social_activity_friends:'very_high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 1.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'together_outside', situ_social_activity_friends:'very_high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 1.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'together_outside', situ_social_activity_friends:'very_high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 1.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'together_outside', situ_social_activity_friends:'very_high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 1.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'together_outside', situ_social_activity_friends:'very_high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 1.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'together_outside', situ_social_activity_friends:'very_high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 1.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'together_outside', situ_social_activity_friends:'very_high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 1.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'none', situ_social_activity_friends:'very_high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 1.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'none', situ_social_activity_friends:'very_high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 1.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'yes', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'none', situ_social_activity_friends:'very_high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 1.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_PU', feat_social_activity_friends_qualitative_lowest:'none', situ_social_activity_friends:'very_high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 1.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'to_SU', feat_social_activity_friends_qualitative_lowest:'none', situ_social_activity_friends:'very_high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 1.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
coach_social_activity_friends.addFunctionRow([{profile_social_invite_possible_friends:'no', profile_social_interaction_preferrence:'no_preference', feat_social_activity_friends_qualitative_lowest:'none', situ_social_activity_friends:'very_high'}, {'Suggest_going_out_to_an_event_or_social_place_together': 0.0, 'Suggest_calling': 0.0, 'Suggest_visit': 0.0, 'no_action': 1.0, 'Suggest_going_out_to_an_event_or_social_place': 0.0, 'Send_positive_message': 0.0}])
| 369.993548
| 496
| 0.846257
| 8,611
| 57,349
| 5.037394
| 0.008361
| 0.02642
| 0.185905
| 0.094843
| 0.984762
| 0.98045
| 0.974641
| 0.970814
| 0.970814
| 0.969154
| 0
| 0.03174
| 0.034752
| 57,349
| 154
| 497
| 372.396104
| 0.751861
| 0.00204
| 0
| 0
| 1
| 0
| 0.388045
| 0.257691
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.006944
| 0
| 0.006944
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
cf6c13ff57f888a1044e534bb772001c78f7178f
| 254
|
py
|
Python
|
datagym/models/__init__.py
|
datagym-ai/datagym-python
|
65b5b2edaba1d401b08007e86a787585a88b33ae
|
[
"BSD-3-Clause"
] | 4
|
2020-04-28T23:00:15.000Z
|
2022-03-21T19:34:10.000Z
|
datagym/models/__init__.py
|
datagym-ai/datagym-python
|
65b5b2edaba1d401b08007e86a787585a88b33ae
|
[
"BSD-3-Clause"
] | 2
|
2022-02-07T10:34:33.000Z
|
2022-02-07T10:53:46.000Z
|
datagym/models/__init__.py
|
datagym-ai/datagym-python
|
65b5b2edaba1d401b08007e86a787585a88b33ae
|
[
"BSD-3-Clause"
] | null | null | null |
from datagym.models.project import Project # noqa
from datagym.models.dataset import Dataset # noqa
from datagym.models.image import Image # noqa
from datagym.models.video import Video # noqa
from datagym.models.label_config import LabelConfig # noqa
| 42.333333
| 59
| 0.811024
| 36
| 254
| 5.694444
| 0.333333
| 0.268293
| 0.414634
| 0.409756
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.129921
| 254
| 5
| 60
| 50.8
| 0.927602
| 0.094488
| 0
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| 0
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| 0
| 1
| 0
| true
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| 1
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| 0
| null | 1
| 1
| 1
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| 0
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| 0
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| 1
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| 0
| 0
| 0
| 0
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
cf7e911e4e428a628eacc34743555f22d5348a6c
| 11,088
|
py
|
Python
|
simpletwitter/__init__.py
|
Abipravi1/Twitter_bot_module
|
ed10656277585e6e0fe04b176d879a4d4ca0f0a7
|
[
"MIT"
] | null | null | null |
simpletwitter/__init__.py
|
Abipravi1/Twitter_bot_module
|
ed10656277585e6e0fe04b176d879a4d4ca0f0a7
|
[
"MIT"
] | null | null | null |
simpletwitter/__init__.py
|
Abipravi1/Twitter_bot_module
|
ed10656277585e6e0fe04b176d879a4d4ca0f0a7
|
[
"MIT"
] | null | null | null |
from selenium.webdriver.common.keys import Keys
from selenium import webdriver
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from bs4 import BeautifulSoup
import requests
from lxml import etree
import time
class SimpleTwitter:
def __init__(self, email, password, no_of_tweets, user_name):
self.email = email
self.password = password
self.no_of_tweets = no_of_tweets
self.user_name = user_name
self.s = ChromeDriverManager().install()
self.bot = webdriver.Chrome(self.s)
self.wait = WebDriverWait(self.bot, 20)
def login(self):
bot = self.bot
bot.get("https://twitter.com/i/flow/login")
print("Attempt1")
try:
email_path = self.wait.until(EC.presence_of_element_located(
(By.XPATH, '//*[@id="react-root"]/div/div/div[2]/main/div/div/div/div[2]/div[2]/div[1]/div/div[5]/label/div/div[2]/div/input'))).send_keys(self.email)
next_button = self.wait.until(EC.presence_of_element_located(
(By.XPATH, '//*[@id = "layers"]/div/div/div/div/div/div/div[2]/div[2]/div/div/div[2]/div[2]/div[1]/div/div[6]/div'))).click()
try:
username = self.wait.until(EC.presence_of_element_located(
(By.XPATH, '//*[@id="layers"]/div/div/div/div/div/div/div[2]/div[2]/div/div/div[2]/div[2]/div[1]/div/div[2]/label/div/div[2]/div/input'))).send_keys(self.user_name)
next_button = self.wait.until(EC.presence_of_element_located(
(By.XPATH, '//*[@id="layers"]/div/div/div/div/div/div/div[2]/div[2]/div/div/div[2]/div[2]/div[2]/div'))).click()
except:
pass
password = self.wait.until(EC.presence_of_element_located(
(By.XPATH, '//*[@id="layers"]/div/div/div/div/div/div/div[2]/div[2]/div/div/div[2]/div[2]/div[1]/div/div[3]/div/label/div/div[2]/div[1]/input'))).send_keys(self.password)
next_button = self.wait.until(EC.presence_of_element_located(
(By.XPATH, '//*[@id="layers"]/div/div/div/div/div/div/div[2]/div[2]/div/div/div[2]/div[2]/div[2]/div/div'))).click()
except:
print("Attempt2")
email = self.wait.until(EC.presence_of_element_located(
(By.XPATH, '//*[@id = "layers"]/div/div/div/div/div/div/div[2]/div[2]/div/div/div[2]/div[2]/div[1]/div/div[5]/label/div/div[2]/div/input'))).send_keys(self.email)
next_button = self.wait.until(EC.presence_of_element_located(
(By.XPATH, '//*[@id = "layers"]/div/div/div/div/div/div/div[2]/div[2]/div/div/div[2]/div[2]/div[1]/div/div[6]/div'))).click()
try:
username = self.wait.until(EC.presence_of_element_located(
(By.XPATH, '//*[@id="layers"]/div/div/div/div/div/div/div[2]/div[2]/div/div/div[2]/div[2]/div[1]/div/div[2]/label/div/div[2]/div/input'))).send_keys(self.user_name)
next_button = self.wait.until(EC.presence_of_element_located(
(By.XPATH, '//*[@id="layers"]/div/div/div/div/div/div/div[2]/div[2]/div/div/div[2]/div[2]/div[2]/div'))).click()
except:
pass
password = self.wait.until(EC.presence_of_element_located(
(By.XPATH, '//*[@id="layers"]/div/div/div/div/div/div/div[2]/div[2]/div/div/div[2]/div[2]/div[1]/div/div[3]/div/label/div/div[2]/div[1]/input'))).send_keys(self.password)
next_button = self.wait.until(EC.presence_of_element_located(
(By.XPATH, '//*[@id="layers"]/div/div/div/div/div/div/div[2]/div[2]/div/div/div[2]/div[2]/div[2]/div/div'))).click()
time.sleep(5)
def like_tweet(self, hashtag):
for x in hashtag:
tweet_button_XPATH = self.wait.until(EC.presence_of_element_located((
By.XPATH, '//*[@id="react-root"]/div/div/div[2]/header/div/div/div/div[1]/div[2]/nav/a[2]'))).click()
search_button_XPATH = self.wait.until(EC.presence_of_element_located(
(By.XPATH, '//*[@id="react-root"]/div/div/div[2]/main/div/div/div/div/div/div[1]/div[1]/div/div/div/div/div[1]/div[2]/div/div/div/form/div[1]/div/div/label/div[2]/div/input'))).send_keys(x)
search_button_Click_XPATH = self.wait.until(EC.presence_of_element_located(
(By.XPATH, '//*[@id="react-root"]/div/div/div[2]/main/div/div/div/div/div/div[1]/div[1]/div/div/div/div/div[1]/div[2]/div/div/div/form/div[1]/div/div/label/div[2]/div/input'))).send_keys(Keys.ENTER)
time.sleep(1)
go_to_photos_XPATH = self.wait.until(EC.presence_of_element_located(
(By.XPATH, '//*[@id="react-root"]/div/div/div[2]/main/div/div/div/div/div/div[1]/div[2]/nav/div/div[2]/div/div[4]/a'))).click()
time.sleep(5)
print("sleeping")
for i in range(self.no_of_tweets):
print(i)
try:
like = self.wait.until(EC.presence_of_element_located(
(By.XPATH, "//div[@data-testid='like']"))).click()
print('liked_image')
time.sleep(1)
except:
time.sleep(1)
print('liked_image_failed_except')
self.bot.execute_script(
"window.scrollTo(0, document.body.scrollHeight/1.5);")
time.sleep(1)
time.sleep(1)
print("Next hashtag")
def only_like_top_tweet(self, hashtag):
for x in hashtag:
tweet_button_XPATH = self.wait.until(EC.presence_of_element_located((
By.XPATH, '//*[@id="react-root"]/div/div/div[2]/header/div/div/div/div[1]/div[2]/nav/a[2]'))).click()
search_button_XPATH = self.wait.until(EC.presence_of_element_located(
(By.XPATH, '//*[@id="react-root"]/div/div/div[2]/main/div/div/div/div/div/div[1]/div[1]/div/div/div/div/div[1]/div[2]/div/div/div/form/div[1]/div/div/label/div[2]/div/input'))).send_keys(x)
search_button_Click_XPATH = self.wait.until(EC.presence_of_element_located(
(By.XPATH, '//*[@id="react-root"]/div/div/div[2]/main/div/div/div/div/div/div[1]/div[1]/div/div/div/div/div[1]/div[2]/div/div/div/form/div[1]/div/div/label/div[2]/div/input'))).send_keys(Keys.ENTER)
time.sleep(5)
print("sleeping")
for i in range(self.no_of_tweets):
print(i)
try:
like = self.wait.until(EC.presence_of_element_located(
(By.XPATH, "//div[@data-testid='like']"))).click()
print('liked_image')
time.sleep(1)
except:
time.sleep(1)
print('liked_image_failed_except')
self.bot.execute_script(
"window.scrollTo(0, document.body.scrollHeight/1.5);")
time.sleep(1)
time.sleep(1)
print("Next hashtag")
def tweet(self, tweet_body):
tweet_button_XPATH = self.wait.until(EC.presence_of_element_located((
By.XPATH, '//*[@id="react-root"]/div/div/div[2]/header/div/div/div/div[1]/div[3]/a/div/span/div/div/span/span'))).click()
print("Tweet Button Clicked", tweet_body)
message_XPATH = self.wait.until(EC.presence_of_element_located(
(By.XPATH, '//*[@id="layers"]/div[2]/div/div/div/div/div/div[2]/div[2]/div/div[3]/div/div/div/div[1]/div/div/div/div/div[2]/div[1]/div/div/div/div/div/div/div/div/div/label/div[1]/div/div/div/div/div/div/div/div/div'))).send_keys(tweet_body)
send_tweet_XPATH = self.wait.until(EC.presence_of_element_located((
By.XPATH, '//*[@id="layers"]/div[2]/div/div/div/div/div/div[2]/div[2]/div/div[3]/div/div/div/div[1]/div/div/div/div/div[2]/div[3]/div/div/div[2]/div[4]'))).click()
def Unlike_liked_tweets(self, length):
goto_profile_XPATH = self.wait.until(EC.presence_of_element_located(
(By.XPATH, '//*[@id="react-root"]/div/div/div[2]/header/div/div/div/div[1]/div[2]/nav/a[5]'))).click()
goto_liked_tweets_XPATH = self.wait.until(EC.presence_of_element_located(
(By.XPATH, '//*[@id="react-root"]/div/div/div[2]/main/div/div/div/div/div/div[2]/div/div/nav/div/div[2]/div/div[4]/a'))).click()
for i in range(length):
try:
unlike = self.wait.until(EC.presence_of_element_located(
(By.XPATH, "//div[@data-testid='unlike']"))).click()
print('unliked_image')
time.sleep(1)
except:
time.sleep(1)
print('unliked_image_failed_except')
self.bot.execute_script(
"window.scrollTo(0, document.body.scrollHeight/1.5);")
time.sleep(1)
time.sleep(1)
print("Next hashtag")
def retweet(self, hashtag):
for x in hashtag:
tweet_button_XPATH = self.wait.until(EC.presence_of_element_located((
By.XPATH, '//*[@id="react-root"]/div/div/div[2]/header/div/div/div/div[1]/div[2]/nav/a[2]'))).click()
search_button_XPATH = self.wait.until(EC.presence_of_element_located(
(By.XPATH, '//*[@id="react-root"]/div/div/div[2]/main/div/div/div/div/div/div[1]/div[1]/div/div/div/div/div[1]/div[2]/div/div/div/form/div[1]/div/div/label/div[2]/div/input'))).send_keys(x)
search_button_Click_XPATH = self.wait.until(EC.presence_of_element_located(
(By.XPATH, '//*[@id="react-root"]/div/div/div[2]/main/div/div/div/div/div/div[1]/div[1]/div/div/div/div/div[1]/div[2]/div/div/div/form/div[1]/div/div/label/div[2]/div/input'))).send_keys(Keys.ENTER)
time.sleep(1)
go_to_latest_XPATH = self.wait.until(EC.presence_of_element_located(
(By.XPATH, '//*[@id="react-root"]/div/div/div[2]/main/div/div/div/div/div/div[1]/div[2]/nav/div/div[2]/div/div[2]/a'))).click()
time.sleep(5)
print("sleeping")
for i in range(self.no_of_tweets):
print(i)
try:
retweet = self.wait.until(EC.presence_of_element_located(
(By.XPATH, "//div[@data-testid='retweet']"))).click()
retweet_click = self.wait.until(EC.presence_of_element_located(
(By.XPATH, "//div[@data-testid='retweetConfirm']"))).click()
print('retweet')
time.sleep(1)
except:
time.sleep(1)
print('retweet_tweet_failed_except')
self.bot.execute_script(
"window.scrollTo(0, document.body.scrollHeight/1.5);")
time.sleep(1)
time.sleep(1)
print("Next hashtag")
| 63
| 253
| 0.582612
| 1,665
| 11,088
| 3.754955
| 0.073273
| 0.279271
| 0.267754
| 0.216891
| 0.836852
| 0.834133
| 0.834133
| 0.834133
| 0.828535
| 0.818938
| 0
| 0.024094
| 0.228896
| 11,088
| 175
| 254
| 63.36
| 0.707135
| 0
| 0
| 0.652695
| 0
| 0.167665
| 0.356962
| 0.330988
| 0
| 0
| 0
| 0
| 0
| 1
| 0.041916
| false
| 0.047904
| 0.05988
| 0
| 0.107784
| 0.125749
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
d8fdb3e8374a63778081445bdb67911b90dbf5b9
| 7,525
|
py
|
Python
|
benches/cm4_performance/fchashmap.py
|
Simsys/fchashmap
|
3a4e620031e56af80e8815792f03395f12c2bba7
|
[
"Apache-2.0",
"MIT"
] | 2
|
2021-06-02T09:09:00.000Z
|
2021-08-02T02:03:06.000Z
|
benches/cm4_performance/fchashmap.py
|
Simsys/fchashmap
|
3a4e620031e56af80e8815792f03395f12c2bba7
|
[
"Apache-2.0",
"MIT"
] | null | null | null |
benches/cm4_performance/fchashmap.py
|
Simsys/fchashmap
|
3a4e620031e56af80e8815792f03395f12c2bba7
|
[
"Apache-2.0",
"MIT"
] | null | null | null |
data = [[93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 125, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 125, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 159, 93, 93, 154, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 182, 93, 93, 93, 125, 93, 93, 93, 93, 93, 93, 93, 125, 93, 159, 93, 93, 93, 93, 93, 93, 125, 93, 93, 93, 93, 93, 159, 154, 182, 93, 93, 93, 93, 125, 93, 93, 93, 93, 183, 93, 125, 93, 93, 93, 93, 93, 125, 154, 159, 159, 93, 159, 93, 93, 93, 93, 125, 93, 93, 93, 125, 93, 188, 93, 93, 93, 125, 93, 93, 125, 93, 93, 93, 93, 93, 93, 93, 125, 125, 93, 93, 93, 125, 125, 93, 93, 93, 93, 93, 182, 93, 93, 93, 135, 93, 93, 93, 93, 93, 93, 93, 125, 125, 93, 93, 125, 93, 125, 93, 93, 93, 93, 93, 93, 182, 93, 93, 228, 93, 159, 125, 93, 93, 183, 125, 93, 159, 93, 154, 93, 93, 188, 93, 93, 188, 93, 154, 93, 303, 93, 93, 125, 93, 93, 93, 93, 93, 93, 154, 93, 93, 93, 93, 93, 93, 93, 93, 234, 159, 93, 93, 93, 93, 125, 154, 159, 93, 93, 93, 125, 93, 263, 125, 93, 93, 93, 125, 183, 93, 93, 93, 93, 205, 93, 93, 93, 93, 93, 93, 188, 257, 93, 188, 234, 241, 93, 182, 93, 125, 93, 93, 309, 93, 93, 183, 159, 93, 338, 93, 93, 183, 182, 93, 343, 125, 154, 361, 93, 269, 125, 159, 125, 93, 251, 93, 182, 159, 159, 93, 93, 154, 93, 188, 378, 234, 125, 93, 93, 390, 125, 93, 93, 159, 93, 211, 159, 93, 159, 470, 93, 93, 93, 125, 93, 93, 93, 93, 93, 93, 125, 93, 125, 93, 93, 419, 93, 93, 93, 93, 240, 93, 93, 159, 93, 93, 309, 389, 93, 125, 125, 125, 182, 631, 159, 286, 182, 125, 298, 125, 93, 93, 280, 476, 93, 292, 441, 182, 534, 562, 125, 447, 188, 125, 355, 93, 93, 205, 390, 159, 93, 505, 182, 338, 93, 557, 183, 234, 580, 93, 125, 188, 188, 125, 418, 724, 654, 93, 228, 93, 183, 286, 154, 534, 211, 217, 228, 1068, 217, 309, 257, 182, 93, 93, 500, 93, 211, 580, 211, 125, 931, 597, 234, 93, 677, 804, 159, 93, 309, 154, 125, 568, 591, 1092, 724, 603, 539, 1040, 234, 366, 1575, 1264, 384, 487, 430, 988, 257, 159, 1392, 261, 3116, 93, 182, 93, 2190, 93, 510, 159, 93, 1470, 93, 125, 1593, 384, 960, 93, 742, 1920, 321, 93, 413, 93, 580, 809, 1223, 2047, 93, 188, 93, 1612, 959, 3317, 303, 125, 1819, 539, 1246, 685, 494, 1207, 493, 2414, 932, 93, 2541, 125, 1345, 982, 2249, 677, 769, 367, 1482, 3501, 2709, 4547, 321, 2484, 5901, 9239, 7959, 6207, 1127, 7723, 11632, 1570], [139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 165, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 165, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 165, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 165, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 165, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 165, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 165, 139, 139, 139, 165, 139, 139, 139, 191, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 191, 139, 139, 139, 165, 139, 139, 139, 139, 139, 139, 165, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 217, 139, 139, 139, 165, 139, 139, 139, 139, 139, 139, 165, 139, 139, 139, 191, 139, 139, 139, 139, 139, 165, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 139, 165, 139, 165, 191, 139, 165, 139, 139, 165, 139, 139, 165, 165, 139, 191, 165, 139, 191, 139, 139, 139, 139, 191, 165, 139, 191, 165, 165, 139, 139, 139, 139, 139, 139, 217, 139, 165, 139, 139, 191, 165, 243, 139, 165, 139, 139, 165, 139, 139, 139, 139, 139, 139, 139, 139, 165, 139, 243, 139, 139, 217, 139, 191, 139, 139, 295, 243, 139, 139, 243, 165, 243, 139, 139, 139, 139, 139, 139, 139, 165, 139, 139, 139, 139, 139, 139, 217, 139, 139, 165, 139, 269, 139, 139, 139, 243, 139, 165, 139, 191, 139, 165, 139, 165, 191, 269, 139, 139, 321, 139, 139, 165, 217, 295, 139, 139, 165, 139, 191, 139, 191, 139, 139, 243, 139, 191, 295, 165, 139, 165, 191, 139, 191, 165, 165, 269, 165, 139, 217, 165, 191, 191, 191, 165, 269, 295, 243, 139, 191, 139, 191, 243, 139, 191, 191, 165, 295, 139, 165, 217, 165, 217, 295, 321, 217, 165, 165, 399, 217, 139, 555, 425, 139, 347, 139, 191, 295, 165, 373, 295, 243, 269, 399, 373, 295, 321, 347, 217, 581, 217, 503, 269, 347, 425, 529, 321, 321, 217, 633], [360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 394, 360, 360, 360, 360, 360, 372, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 372, 360, 372, 360, 360, 360, 360, 372, 360, 372, 360, 360, 360, 360, 360, 360, 372, 360, 360, 360, 394, 360, 360, 360, 372, 372, 360, 360, 360, 372, 394, 360, 360, 360, 360, 360, 360, 426, 360, 360, 360, 360, 394, 360, 360, 360, 360, 372, 360, 360, 360, 372, 360, 360, 360, 360, 360, 394, 360, 360, 360, 372, 394, 360, 421, 360, 360, 360, 360, 421, 360, 360, 360, 360, 360, 372, 360, 360, 386, 360, 394, 360, 360, 394, 360, 394, 394, 360, 394, 360, 394, 360, 425, 360, 372, 360, 360, 426, 453, 360, 394, 421, 360, 372, 360, 360, 360, 360, 372, 360, 386, 394, 372, 502, 360, 421, 372, 360, 372, 360, 372, 360, 360, 421, 360, 360, 360, 360, 360, 386, 372, 360, 394, 360, 360, 360, 426, 372, 360, 360, 360, 360, 372, 394, 360, 360, 372, 360, 360, 394, 360, 399, 421, 360, 360, 372, 360, 360, 394, 501, 360, 360, 372, 399, 372, 448, 360, 360, 372, 421, 398, 360, 360, 372, 372, 360, 360, 372, 372, 399, 372, 360, 372, 394, 561, 360, 372, 587, 448, 421, 372, 474, 360, 360, 360, 446, 502, 480, 372, 360, 453, 360, 360, 372, 372, 360, 583, 360, 394, 360, 372, 500, 360, 360, 534, 614, 360, 399, 372, 401, 428, 401, 468, 401, 389, 423, 539, 389, 477, 401, 389, 423, 389, 389, 408, 389, 423, 461, 401, 389, 389, 401, 427, 695, 420, 428, 408, 535, 566, 428, 793, 408, 389, 450, 427, 423, 455, 389, 502, 482, 408, 482, 423, 501, 473, 389, 389, 442, 446, 408, 401, 423, 420, 428, 427, 389, 415, 906, 434, 529, 401, 778, 408, 401, 670, 401, 509, 476, 427, 401, 742, 554, 428, 580, 465, 389, 914, 401, 745, 530, 401, 502, 581, 476, 389, 408, 523, 428, 515, 523, 693, 488, 994, 389, 439, 580, 446, 978, 401, 508, 442, 493, 587, 408, 561, 408, 550, 569, 488, 879, 423, 473, 439, 597, 482, 455, 1073, 458, 588, 477, 504, 865, 1024, 401, 577, 997, 522, 708, 447, 447, 469, 439, 420, 488, 496, 711, 428, 509, 423, 465, 1271, 1090, 731, 442, 466, 527, 439, 1609, 401, 1203, 563, 1434, 389, 541, 428, 626, 569, 1345, 447, 1670, 645, 1090, 420, 593, 1180, 420, 389, 484, 620, 1678, 427, 599, 541, 634, 794, 484, 602, 474, 1103, 722, 496, 1531, 800, 743, 496, 641, 761, 610, 1142, 484, 1688, 947, 427, 447, 820, 1086, 526, 853, 1822, 1075, 1085, 1400, 1159, 575, 1069, 553, 664, 1456, 428, 1342, 2473, 1273, 995, 515, 806, 2963, 622, 3984, 2538, 2784, 1271, 453, 4094, 1894, 839, 439, 2098, 2821, 564, 1498, 477, 838, 1446, 2083, 2647, 1138, 2020, 3378, 2851, 4121, 2037, 1739, 2805, 688, 1629, 763, 6182, 11819, 8642, 3340, 8083, 10037, 6130, 11161, 7754]]
| 3,762.5
| 7,524
| 0.590432
| 1,537
| 7,525
| 2.890696
| 0.184776
| 0.42944
| 0.571236
| 0.696826
| 0.503264
| 0.465451
| 0.43124
| 0.403556
| 0.372721
| 0.32298
| 0
| 0.74144
| 0.204385
| 7,525
| 1
| 7,525
| 7,525
| 0.000668
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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0
| 8
|
2b2e90be17253e33d1f86cf63f7db3e6ae52b719
| 14,099
|
py
|
Python
|
nonlincausality_test.py
|
jackchua/Nonlincausality
|
ef0ea0ea66f740f83bf643aa02e6762d873ee08a
|
[
"MIT"
] | null | null | null |
nonlincausality_test.py
|
jackchua/Nonlincausality
|
ef0ea0ea66f740f83bf643aa02e6762d873ee08a
|
[
"MIT"
] | null | null | null |
nonlincausality_test.py
|
jackchua/Nonlincausality
|
ef0ea0ea66f740f83bf643aa02e6762d873ee08a
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
"""
Created on Fri Jan 28 21:12:00 2022
@author: Maciej Rosoł
"""
import pytest
import numpy as np
import keras
import nonlincausality_new03022022 as nlc
#%% Test check input
class TestCheckInput:
test_data_ok = [
(np.zeros([1000,2]), [5], 2, [10,10], 2, [10,10], [], 1, [], [], True, 0.1, 10, 0.01, 8, False, False, 'LSTM'),
(np.zeros([1000,2]), [5], 2, [10,10], 2, [10,10], [], 1, [], [], True, 0.1, [10,10], [0.01,0.001], 8, False, False, 'LSTM'),
(np.zeros([1000,2]), [4,5], 1, [10], 2, [10,10], np.zeros([100,2]), 1, [], [], True, 0.1, 10, 0.01, 8, False, False, 'LSTM'),
(np.zeros([1000,2]), [4,5], 1, [10], 2, [10,10], np.zeros([100,2]), 1, np.ones([1000,5]), np.ones([100,2]), True, 0.1, 10, 0.01, 8, False, False, 'LSTM'),
(np.zeros([1000,2]), [4,5], 1, [10], 2, [10,10], np.zeros([100,2]), 1, [], [], True, 0.1, 10, 0.01, 8, True, False, 'GRU'),
(np.zeros([1000,2]), [4,5], 1, [10], 2, [10,10], np.zeros([100,2]), 1, [], [], True, 0.1, 10, 0.01, 8, False, True, 'GRU'),
(np.zeros([1000,2]), 5, 1, [10], 2, [10,10], np.zeros([100,2]), 1, [], [], True, 0.1, 10, 0.01, 8, False, False, 'GRU'),
(np.zeros([1000,2]), [5], ['d','dr','l','dr','g','dr'], [10, 0.1, 10, 0.1, 10, 0.1], None, None, np.zeros([100,2]), 1, [], [], True, 0.1, 10, 0.01, 8, False, False, 'NN'),
(np.zeros([1000,2]), [5], None, None, 2, [10,10], np.zeros([100,2]), 1, [], [], True, 0.1, 10, 0.01, 8, False, False, 'MLP'),
]
@pytest.mark.parametrize('x, maxlag, Network_layers, Network_neurons, Dense_layers, Dense_neurons, xtest, run, z, ztest, add_Dropout, Dropout_rate, epochs_num, learning_rate, batch_size_num, verbose, plot, functin_type',test_data_ok)
def test_check_input_ok(self,x, maxlag, Network_layers, Network_neurons, Dense_layers, Dense_neurons, xtest, run, z, ztest, add_Dropout, Dropout_rate, epochs_num, learning_rate, batch_size_num, verbose, plot, functin_type):
print(nlc.check_input(x, maxlag, Network_layers, Network_neurons, Dense_layers, Dense_neurons, xtest, run, z, ztest, add_Dropout, Dropout_rate, epochs_num, learning_rate, batch_size_num, verbose, plot, functin_type))
test_data_not_ok = [
# to many columns in x
(np.zeros([1000,3]), [5], 2, [10,10], 2, [10,10], 1, [], [], [], True, 0.1, 10, 0.01, 8, False, False, 'LSTM'),
# epoch_num is list and learning_rate is int
(np.zeros([1000,2]), [5], 2, [10,10], 2, [10,10], 1, [], [], [], True, 0.1, [10,10], 0.01, 8, False, False, 'LSTM'),
# epoch_num and learning_rate have different length
(np.zeros([1000,2]), [5], 2, [10,10], 2, [10,10], 1, [], [], [], True, 0.1, [10,10], [0.01,0.001,0.001], 8, False, False, 'LSTM'),
# negative epochs_num
(np.zeros([1000,2]), [5], 2, [10,10], 2, [10,10], 1, [], [], [], True, 0.1, [-10,10], [0.01,0.001], 8, False, False, 'LSTM'),
# negative learning_rate
(np.zeros([1000,2]), [5], 2, [10,10], 2, [10,10], 1, [], [], [], True, 0.1, [10,10], [-0.01,0.001], 8, False, False, 'LSTM'),
# run = 0
(np.zeros([1000,2]), [4,5], 1, [10], 2, [10,10], 0, np.zeros([100,2]), [], [], True, 0.1, 10, 0.01, 8, False, False, 'LSTM'),
# run <0
(np.zeros([1000,2]), [4,5], 1, [10], 2, [10,10], -1, np.zeros([100,2]), [], [], True, 0.1, 10, 0.01, 8, False, False, 'LSTM'),
# z is to short
(np.zeros([1000,2]), [4,5], 1, [10], 2, [10,10], 1, np.zeros([100,2]), np.ones([5000,5]), np.ones([100,2]), True, 0.1, 10, 0.01, 8, False, False, 'LSTM'),
# ztest is to short
(np.zeros([1000,2]), [4,5], 1, [10], 2, [10,10], 1, np.zeros([100,2]), np.ones([1000,5]), np.ones([50,2]), True, 0.1, 10, 0.01, 8, False, False, 'LSTM'),
# batch_size = 0
(np.zeros([1000,2]), [4,5], 1, [10], 2, [10,10], 1, np.zeros([100,2]), [], [], True, 0.1, 10, 0.01, 0, True, False, 'LSTM'),
# batch_size <0
(np.zeros([1000,2]), [4,5], 1, [10], 2, [10,10], 1, np.zeros([100,2]), [], [], True, 0.1, 10, 0.01, -8, True, False, 'LSTM'),
# maxlag = 0
(np.zeros([1000,2]), 0, 1, [10], 2, [10,10], 1, np.zeros([100,2]), [], [], True, 0.1, 10, 0.01, 8, False, False, 'LSTM'),
# maxlag < 0
(np.zeros([1000,2]), -5, 1, [10], 2, [10,10], 1, np.zeros([100,2]), [], [], True, 0.1, 10, 0.01, 8, False, False, 'LSTM'),
# incorrect functin_type
(np.zeros([1000,2]), 5, 1, [10], 2, [10,10], 1, np.zeros([100,2]), [], [], True, 0.1, 10, 0.01, 8, False, False, 'AAA'),
# incorrect NN_config
(np.zeros([1000,2]), 5, ['a','1'], [10,10], None, None, 1, np.zeros([100,2]), [], [], True, 0.1, 10, 0.01, 8, False, False, 'NN'),
# incorrect NN_config Dense=0.1
(np.zeros([1000,2]), 5, ['d'], [0.1], None, None, 1, np.zeros([100,2]), [], [], True, 0.1, 10, 0.01, 8, False, False, 'NN'),
# incorrect NN_config dr>1
(np.zeros([1000,2]), 5, ['dr'], [1.1], None, None, 1, np.zeros([100,2]), [], [], True, 0.1, 10, 0.01, 8, False, False, 'NN'),
# incorrect NN_config dr<0
(np.zeros([1000,2]), 5, ['dr'], [-0.1], None, None, 1, np.zeros([100,2]), [], [], True, 0.1, 10, 0.01, 8, False, False, 'NN'),
# incorrect NN_config
(np.zeros([1000,2]), 5, ['g'], [0.1], None, None, 1, np.zeros([100,2]), [], [], True, 0.1, 10, 0.01, 8, False, False, 'NN'),
# incorrect NN_config
(np.zeros([1000,2]), 5, ['l'], [0.1], None, None, 1, np.zeros([100,2]), [], [], True, 0.1, 10, 0.01, 8, False, False, 'NN'),
# incorrect NN_config
(np.zeros([1000,2]), 5, ['g'], [-0.1], None, None, 1, np.zeros([100,2]), [], [], True, 0.1, 10, 0.01, 8, False, False, 'NN'),
# incorrect NN_config
(np.zeros([1000,2]), 5, ['l'], [-0.1], None, None, 1, np.zeros([100,2]), [], [], True, 0.1, 10, 0.01, 8, False, False, 'NN'),
# incorrect NN_config
(np.zeros([1000,2]), 5, None, None, None, None, 1, np.zeros([100,2]), [], [], True, 0.1, 10, 0.01, 8, False, False, 'NN'),
]
@pytest.mark.parametrize('x, maxlag, Network_layers, Network_neurons, run, Dense_layers, Dense_neurons, xtest, z, ztest, add_Dropout, Dropout_rate, epochs_num, learning_rate, batch_size_num, verbose, plot, functin_type',test_data_not_ok)
def test_check_input_not_ok(self,x, maxlag, Network_layers, Network_neurons, Dense_layers, Dense_neurons, xtest, run, z, ztest, add_Dropout, Dropout_rate, epochs_num, learning_rate, batch_size_num, verbose, plot, functin_type):
error = False
try:
nlc.check_input(x, maxlag, Network_layers, Network_neurons, Dense_layers, Dense_neurons, xtest, run, z, ztest, add_Dropout, Dropout_rate, epochs_num, learning_rate, batch_size_num, verbose, plot, functin_type)
except:
error = True
assert error
#%% test MLP_architecture
class TestMLPArchitecture():
test_data = [
(2, [10,10], True, 0.1, [100, 5, 1], 7, 181),
(2, [10,10], True, 0.1, [100, 5, 2], 7, 191),
(2, [10,10], False, 0.1, [100, 5, 1], 5, 181),
(2, [10,10], False, 0.1, [100, 5, 2], 5, 191),
(1, [10], True, 0.1, [100, 5, 1], 5, 71),
(1, [10], False, 0.1, [100, 5, 1], 4, 71),
(1, [10], True, 0.1, [100, 5, 2], 5, 81),
(1, [10], False, 0.1, [100, 5, 2], 4, 81),
(3, [10,10,10], True, 0.1, [100, 5, 1], 9, 291),
(3, [10,10,10], False, 0.1, [100, 5, 1], 6, 291),
(3, [10,10,10], True, 0.1, [100, 5, 2], 9, 301),
(3, [10,10,10], False, 0.1, [100, 5, 2], 6, 301),
]
@pytest.mark.parametrize('Dense_layers, Dense_neurons, add_Dropout, Dropout_rate, data_shape, expected_layers_number, expected_parameters', test_data)
def test_MLP_architecture(self, Dense_layers, Dense_neurons, add_Dropout, Dropout_rate, data_shape, expected_layers_number, expected_parameters):
mdl = nlc.MLP_architecture(Dense_layers, Dense_neurons, add_Dropout, Dropout_rate, data_shape)
assert len(mdl.layers) == expected_layers_number
assert mdl.count_params() == expected_parameters
#%% test GRU_architecture
class TestGRUArchitecture():
test_data = [
(2, [10,10], 1, [10], True, 0.1, [100, 5, 1], 8, 1111),
(2, [10,10], 2, [10,10], True, 0.1, [100, 5, 2], 10, 1251),
(2, [10,10], 3, [10,10, 10], False, 0.1, [100, 5, 1], 7, 1331),
(2, [10,10], 0, [], False, 0.1, [100, 5, 2], 4, 1031),
(1, [10], 1, [10], True, 0.1, [100, 5, 1], 5, 481),
(1, [10], 2, [10,10], False, 0.1, [100, 5, 1], 5, 591),
(1, [10], 3, [10,10, 10], True, 0.1, [100, 5, 2], 9, 731),
(1, [10], 0, [], False, 0.1, [100, 5, 2], 3, 401),
(3, [10,10,10], 1, [10], True, 0.1, [100, 5, 1], 10, 1741),
(3, [10,10,10], 2, [10,10], False, 0.1, [100, 5, 1], 7, 1851),
(3, [10,10,10], 3, [10,10, 10], True, 0.1, [100, 5, 2], 14, 1991),
(3, [10,10,10], 0, [], False, 0.1, [100, 5, 2], 5, 1661),
]
@pytest.mark.parametrize('GRU_layers, GRU_neurons, Dense_layers, Dense_neurons, add_Dropout, Dropout_rate, data_shape, expected_layers_number, expected_parameters', test_data)
def test_GRU_architecture(self, GRU_layers, GRU_neurons, Dense_layers, Dense_neurons, add_Dropout, Dropout_rate, data_shape, expected_layers_number, expected_parameters):
mdl = nlc.GRU_architecture(GRU_layers, GRU_neurons, Dense_layers, Dense_neurons, add_Dropout, Dropout_rate, data_shape)
assert len(mdl.layers) == expected_layers_number
assert mdl.count_params() == expected_parameters
#%%
class TestLSTMArchitecture():
test_data = [
(2, [10,10], 1, [10], True, 0.1, [100, 5, 1], 8, 1441),
(2, [10,10], 2, [10,10], True, 0.1, [100, 5, 2], 10, 1591),
(2, [10,10], 3, [10,10, 10], False, 0.1, [100, 5, 1], 7, 1661),
(2, [10,10], 0, [], False, 0.1, [100, 5, 2], 4, 1371),
(1, [10], 1, [10], True, 0.1, [100, 5, 1], 5, 601),
(1, [10], 2, [10,10], False, 0.1, [100, 5, 1], 5, 711),
(1, [10], 3, [10,10, 10], True, 0.1, [100, 5, 2], 9, 861),
(1, [10], 0, [], False, 0.1, [100, 5, 2], 3, 531),
(3, [10,10,10], 1, [10], True, 0.1, [100, 5, 1], 10, 2281),
(3, [10,10,10], 2, [10,10], False, 0.1, [100, 5, 1], 7, 2391),
(3, [10,10,10], 3, [10,10, 10], True, 0.1, [100, 5, 2], 14, 2541),
(3, [10,10,10], 0, [], False, 0.1, [100, 5, 2], 5, 2211),
]
@pytest.mark.parametrize('LSTM_layers, LSTM_neurons, Dense_layers, Dense_neurons, add_Dropout, Dropout_rate, data_shape, expected_layers_number, expected_parameters', test_data)
def test_LSTM_arcgitecture(self, LSTM_layers, LSTM_neurons, Dense_layers, Dense_neurons, add_Dropout, Dropout_rate, data_shape, expected_layers_number, expected_parameters):
mdl = mdl = nlc.LSTM_architecture(LSTM_layers, LSTM_neurons, Dense_layers, Dense_neurons, add_Dropout, Dropout_rate, data_shape)
assert expected_layers_number == len(mdl.layers)
assert expected_parameters == mdl.count_params()
'''
for i in range(len(test_data)):
LSTM_layers, LSTM_neurons, Dense_layers, Dense_neurons, add_Dropout, Dropout_rate, data_shape, exp_l, exp_par = test_data[i]
mdl = nlc.LSTM_architecture(LSTM_layers, LSTM_neurons, Dense_layers, Dense_neurons, add_Dropout, Dropout_rate, data_shape)
print(exp_l == len(mdl.layers))
print(exp_par == mdl.count_params())
'''
#%% test NN architecture
class TestNNArchitecture():
test_data = [
(['d'], [10], [100, 5, 1], 4, 71),
(['d','d'], [10, 10], [100, 5, 1], 5, 181),
(['d'], [10], [100, 5, 2], 4, 81),
(['d','d'], [10, 10], [100, 5, 2], 5, 191),
(['d','dr'], [10,0.1], [100, 5, 1], 5, 71),
(['d','dr','d','dr'], [10, 0.1, 10, 0.1], [100, 5, 1], 7, 181),
(['d', 'dr'], [10, 0.1], [100, 5, 2], 5, 81),
(['d','dr','d','dr'], [10, 0.1, 10, 0.1], [100, 5, 2], 7, 191),
(['g'], [10], [100, 5, 1], 3, 371),
(['g','d'], [10, 10], [100, 5, 1], 4, 481),
(['g','d','g'], [10, 10, 10], [100, 5, 1], 5, 1111),
(['d','g','d'], [10, 10, 10], [100, 5, 1], 5, 771),
(['d','dr','g','dr','d','dr'], [10, 0.1, 10, 0.1, 10, 0.1], [100, 5, 1], 8, 771),
(['g','d','g'], [10, 10, 10], [100, 5, 2], 5, 1141),
(['d','g','d'], [10, 10, 10], [100, 5, 2], 5, 781),
(['d','dr','g','dr','d','dr'], [10, 0.1, 10, 0.1, 10, 0.1], [100, 5, 2], 8, 781),
(['l'], [10], [100, 5, 1], 3, 491),
(['l','d'], [10, 10], [100, 5, 1], 4, 601),
(['l','d','l'], [10, 10, 10], [100, 5, 1], 5, 1441),
(['d','l','d'], [10, 10, 10], [100, 5, 1], 5, 981),
(['d','dr','l','dr','d','dr'], [10, 0.1, 10, 0.1, 10, 0.1], [100, 5, 1], 8, 981),
(['l','d','l'], [10, 10, 10], [100, 5, 2], 5, 1481),
(['d','l','d'], [10, 10, 10], [100, 5, 2], 5, 991),
(['d','dr','l','dr','d','dr'], [10, 0.1, 10, 0.1, 10, 0.1], [100, 5, 2], 8, 991),
(['g','dr','l','dr','d','dr'], [10, 0.1, 10, 0.1, 10, 0.1], [100, 5, 1], 8, 1321),
(['d','dr','l','dr','g','dr'], [10, 0.1, 10, 0.1, 10, 0.1], [100, 5, 1], 8, 1501),
(['d','dr','l','dr','g','dr','d'], [10, 0.1, 10, 0.1, 10, 0.1, 10], [100, 5, 1], 9, 1611),
(['g','dr','l','dr','d','dr'], [10, 0.1, 10, 0.1, 10, 0.1], [100, 5, 2], 8, 1351),
(['d','dr','l','dr','g','dr'], [10, 0.1, 10, 0.1, 10, 0.1], [100, 5, 2], 8, 1511),
(['d','dr','l','dr','g','dr','d'], [10, 0.1, 10, 0.1, 10, 0.1, 10], [100, 5, 2], 9, 1621),
]
@pytest.mark.parametrize('NN_config, NN_neurons, data_shape, expected_layers_number, expected_parameters', test_data)
def test_NN_arcgitecture(self, NN_config, NN_neurons, data_shape, expected_layers_number, expected_parameters):
mdl = mdl = nlc.NN_architecture(NN_config, NN_neurons, data_shape)
assert expected_layers_number == len(mdl.layers)
assert expected_parameters == mdl.count_params()
#%%
if __name__ == "__main__":
pytest.main([__file__])
| 65.576744
| 241
| 0.52564
| 2,415
| 14,099
| 2.958592
| 0.073292
| 0.03219
| 0.03303
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| 0.851505
| 0.83345
| 0.815115
| 0.788383
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| 0.7324
| 0
| 0.188462
| 0.216824
| 14,099
| 214
| 242
| 65.883178
| 0.458613
| 0.046386
| 0
| 0.078947
| 0
| 0.013158
| 0.086223
| 0.007057
| 0
| 0
| 0
| 0
| 0.059211
| 1
| 0.039474
| false
| 0
| 0.026316
| 0
| 0.138158
| 0.006579
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| null | 0
| 0
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| 0
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| 0
| 0
|
0
| 7
|
999f28043f047130bc2b2cc0deb6b8da35ac36d7
| 7,205
|
py
|
Python
|
problem/01000~09999/02814/2814.pypy3.py
|
njw1204/BOJ-AC
|
1de41685725ae4657a7ff94e413febd97a888567
|
[
"MIT"
] | 1
|
2019-04-19T16:37:44.000Z
|
2019-04-19T16:37:44.000Z
|
problem/01000~09999/02814/2814.pypy3.py
|
njw1204/BOJ-AC
|
1de41685725ae4657a7ff94e413febd97a888567
|
[
"MIT"
] | 1
|
2019-04-20T11:42:44.000Z
|
2019-04-20T11:42:44.000Z
|
problem/01000~09999/02814/2814.pypy3.py
|
njw1204/BOJ-AC
|
1de41685725ae4657a7ff94e413febd97a888567
|
[
"MIT"
] | 3
|
2019-04-19T16:37:47.000Z
|
2021-10-25T00:45:00.000Z
|
import sys
n=1000000
sosu=[True]*(n+5)
sosu[1],sosu[2]=False,True
i=2
while i*i<=n:
if sosu[i]==False:
i+=1
continue
j=i*i
while j<=n:
sosu[j]=False
j+=i
i+=1
N,P=map(int,input().split())
if N==1:
print(P)
sys.exit()
if P*P>10**9:
print(0)
sys.exit()
ss=[]
for i in range(2,n+1):
if sosu[i] and i<P:
ss.append(i)
left,right=1,10**9+1
while left<right:
cnt=cnt2=0
mid=(left+right)//2
lenss=len(ss)
for val in ss:
if val*P>mid: break
cnt2+=mid//(val*P)
for i1 in range(lenss):
s1=True
for i2 in range(i1+1,lenss):
val=ss[i1]*ss[i2]*P
if val>mid: break
cnt2+=(mid//val)*(-1)
s1=False
if s1: break
for i1 in range(lenss):
s1=True
for i2 in range(i1+1,lenss):
s2=True
for i3 in range(i2+1,lenss):
val=ss[i1]*ss[i2]*ss[i3]*P
if val>mid: break
cnt2+=mid//val
s2=False
if s2: break
s1=False
if s1: break
for i1 in range(lenss):
s1=True
for i2 in range(i1+1,lenss):
s2=True
for i3 in range(i2+1,lenss):
s3=True
for i4 in range(i3+1,lenss):
val=ss[i1]*ss[i2]*ss[i3]*ss[i4]*P
if val>mid: break
cnt2+=(mid//val)*(-1)
s3=False
if s3: break
s2=False
if s2: break
s1=False
if s1: break
for i1 in range(lenss):
s1=True
for i2 in range(i1+1,lenss):
s2=True
for i3 in range(i2+1,lenss):
s3=True
for i4 in range(i3+1,lenss):
s4=True
for i5 in range(i4+1,lenss):
val=ss[i1]*ss[i2]*ss[i3]*ss[i4]*ss[i5]*P
if val>mid: break
cnt2+=mid//val
s4=False
if s4: break
s3=False
if s3: break
s2=False
if s2: break
s1=False
if s1: break
for i1 in range(lenss):
s1=True
for i2 in range(i1+1,lenss):
s2=True
for i3 in range(i2+1,lenss):
s3=True
for i4 in range(i3+1,lenss):
s4=True
for i5 in range(i4+1,lenss):
s5=True
for i6 in range(i5+1,lenss):
val=ss[i1]*ss[i2]*ss[i3]*ss[i4]*ss[i5]*ss[i6]*P
if val>mid: break
cnt2+=(mid//val)*(-1)
s5=False
if s5: break
s4=False
if s4: break
s3=False
if s3: break
s2=False
if s2: break
s1=False
if s1: break
for i1 in range(lenss):
s1=True
for i2 in range(i1+1,lenss):
s2=True
for i3 in range(i2+1,lenss):
s3=True
for i4 in range(i3+1,lenss):
s4=True
for i5 in range(i4+1,lenss):
s5=True
for i6 in range(i5+1,lenss):
s6=True
for i7 in range(i6+1,lenss):
val=ss[i1]*ss[i2]*ss[i3]*ss[i4]*ss[i5]*ss[i6]*ss[i7]*P
if val>mid: break
cnt2+=mid//val
s6=False
if s6: break
s5=False
if s5: break
s4=False
if s4: break
s3=False
if s3: break
s2=False
if s2: break
s1=False
if s1: break
for i1 in range(lenss):
s1=True
for i2 in range(i1+1,lenss):
s2=True
for i3 in range(i2+1,lenss):
s3=True
for i4 in range(i3+1,lenss):
s4=True
for i5 in range(i4+1,lenss):
s5=True
for i6 in range(i5+1,lenss):
s6=True
for i7 in range(i6+1,lenss):
s7=True
for i8 in range(i7+1,lenss):
val=ss[i1]*ss[i2]*ss[i3]*ss[i4]*ss[i5]*ss[i6]*ss[i7]*ss[i8]*P
if val>mid: break
cnt2+=(mid//val)*(-1)
s7=False
if s7: break
s6=False
if s6: break
s5=False
if s5: break
s4=False
if s4: break
s3=False
if s3: break
s2=False
if s2: break
s1=False
if s1: break
for i1 in range(lenss):
s1=True
for i2 in range(i1+1,lenss):
s2=True
for i3 in range(i2+1,lenss):
s3=True
for i4 in range(i3+1,lenss):
s4=True
for i5 in range(i4+1,lenss):
s5=True
for i6 in range(i5+1,lenss):
s6=True
for i7 in range(i6+1,lenss):
s7=True
for i8 in range(i7+1,lenss):
s8=True
for i9 in range(i8+1,lenss):
val=ss[i1]*ss[i2]*ss[i3]*ss[i4]*ss[i5]*ss[i6]*ss[i7]*ss[i8]*ss[i9]*P
if val>mid: break
cnt2+=mid//val
s8=False
if s8: break
s7=False
if s7: break
s6=False
if s6: break
s5=False
if s5: break
s4=False
if s4: break
s3=False
if s3: break
s2=False
if s2: break
s1=False
if s1: break
cnt=mid//P-cnt2
if cnt<N:
left=mid+1
elif cnt>N:
right=mid-1
else:
ans=True
for v in ss:
if mid%v==0:
ans=False
break
if ans and mid%P==0:
left=right=mid
break
else:
right=mid-1
print(left if left<=10**9 else 0)
| 29.896266
| 108
| 0.344067
| 871
| 7,205
| 2.846154
| 0.070034
| 0.127067
| 0.043566
| 0.054457
| 0.815651
| 0.80839
| 0.80839
| 0.803953
| 0.765228
| 0.718838
| 0
| 0.10127
| 0.562804
| 7,205
| 241
| 109
| 29.896266
| 0.685714
| 0
| 0
| 0.769912
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.004425
| 0
| 0.004425
| 0.013274
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
41ffb9a029d1f77d62925d681ad14b5173036d21
| 21,422
|
py
|
Python
|
tests/model/test_model.py
|
Shinkai125/RecBole
|
2e156473267d8b869fbeffc92b409ce474390f6d
|
[
"MIT"
] | 17
|
2021-04-27T09:45:57.000Z
|
2022-03-16T04:00:58.000Z
|
tests/model/test_model.py
|
Limore0129/RecBole
|
2e156473267d8b869fbeffc92b409ce474390f6d
|
[
"MIT"
] | 2
|
2021-07-03T02:30:45.000Z
|
2021-11-18T07:24:15.000Z
|
tests/model/test_model.py
|
Limore0129/RecBole
|
2e156473267d8b869fbeffc92b409ce474390f6d
|
[
"MIT"
] | 4
|
2021-06-01T03:37:41.000Z
|
2021-08-11T20:16:56.000Z
|
# -*- coding: utf-8 -*-
# @Time : 2020/10/24
# @Author : Shanlei Mu
# @Email : slmu@ruc.edu.cn
import unittest
from recbole.quick_start import objective_function
class TestGeneralRecommender(unittest.TestCase):
def test_pop(self):
config_dict = {
'model': 'Pop',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_itemknn(self):
config_dict = {
'model': 'ItemKNN',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_bpr(self):
config_dict = {
'model': 'BPR',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_neumf(self):
config_dict = {
'model': 'NeuMF',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_convncf(self):
config_dict = {
'model': 'ConvNCF',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_dmf(self):
config_dict = {
'model': 'DMF',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_fism(self):
config_dict = {
'model': 'FISM',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_nais(self):
config_dict = {
'model': 'NAIS',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_spectralcf(self):
config_dict = {
'model': 'SpectralCF',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_gcmc(self):
config_dict = {
'model': 'GCMC',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_ngcf(self):
config_dict = {
'model': 'NGCF',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_lightgcn(self):
config_dict = {
'model': 'LightGCN',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_dgcf(self):
config_dict = {
'model': 'DGCF',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
class TestContextRecommender(unittest.TestCase):
# todo: more complex context information should be test, such as criteo dataset
def test_lr(self):
config_dict = {
'model': 'LR',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_fm(self):
config_dict = {
'model': 'FM',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_nfm(self):
config_dict = {
'model': 'NFM',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_deepfm(self):
config_dict = {
'model': 'DeepFM',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_xdeepfm(self):
config_dict = {
'model': 'xDeepFM',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_afm(self):
config_dict = {
'model': 'AFM',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_fnn(self):
config_dict = {
'model': 'FNN',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_pnn(self):
config_dict = {
'model': 'PNN',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_dssm(self):
config_dict = {
'model': 'DSSM',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_widedeep(self):
config_dict = {
'model': 'WideDeep',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_dcn(self):
config_dict = {
'model': 'DCN',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_autoint(self):
config_dict = {
'model': 'AutoInt',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_ffm(self):
config_dict = {
'model': 'FFM',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_fwfm(self):
config_dict = {
'model': 'FwFM',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
# def test_din(self):
# config_dict = {
# 'model': 'DIN',
# }
# objective_function(config_dict=config_dict,
# config_file_list=['test_model.yaml'], saved=False)
class TestSequentialRecommender(unittest.TestCase):
def test_fpmc(self):
config_dict = {
'model': 'FPMC',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_gru4rec(self):
config_dict = {
'model': 'GRU4Rec',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_narm(self):
config_dict = {
'model': 'NARM',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_stamp(self):
config_dict = {
'model': 'STAMP',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_caser(self):
config_dict = {
'model': 'Caser',
'MAX_ITEM_LIST_LENGTH': 10,
'reproducibility': False,
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_nextitnet(self):
config_dict = {
'model': 'NextItNet',
'reproducibility': False,
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_transrec(self):
config_dict = {
'model': 'TransRec',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_sasrec(self):
config_dict = {
'model': 'SASRec',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_bert4rec(self):
config_dict = {
'model': 'BERT4Rec',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_srgnn(self):
config_dict = {
'model': 'SRGNN',
'MAX_ITEM_LIST_LENGTH': 3,
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_gcsan(self):
config_dict = {
'model': 'GCSAN',
'MAX_ITEM_LIST_LENGTH': 3,
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_gru4recf(self):
config_dict = {
'model': 'GRU4RecF',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_sasrecf(self):
config_dict = {
'model': 'SASRecF',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_fdsa(self):
config_dict = {
'model': 'FDSA',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
# def test_gru4reckg(self):
# config_dict = {
# 'model': 'GRU4RecKG',
# }
# objective_function(config_dict=config_dict,
# config_file_list=['test_model.yaml'], saved=False)
def test_s3rec(self):
config_dict = {
'model': 'S3Rec',
'train_stage': 'pretrain',
'save_step': 1,
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
config_dict = {
'model': 'S3Rec',
'train_stage': 'finetune',
'pre_model_path': './saved/S3Rec-ml-100k-1.pth',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
class TestKnowledgeRecommender(unittest.TestCase):
def test_cke(self):
config_dict = {
'model': 'CKE',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_cfkg(self):
config_dict = {
'model': 'CFKG',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_ktup(self):
config_dict = {
'model': 'KTUP',
'train_rec_step': 1,
'train_kg_step': 1,
'epochs': 2,
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_kgat(self):
config_dict = {
'model': 'KGAT',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_ripplenet(self):
config_dict = {
'model': 'RippleNet',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_mkr(self):
config_dict = {
'model': 'MKR',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_kgcn(self):
config_dict = {
'model': 'KGCN',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_kgnnls(self):
config_dict = {
'model': 'KGNNLS',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
class TestGeneralRecommender2(unittest.TestCase):
def test_dmf(self):
config_dict = {
'model': 'DMF',
'inter_matrix_type': 'rating',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_fism(self):
config_dict = {
'model': 'FISM',
'split_to': 10,
'alpha': 0.5,
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_nais(self):
config_dict = {
'model': 'NAIS',
'algorithm': 'concat',
'split_to': 10,
'alpha': 0.5,
'beta': 0.1,
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_gcmc(self):
config_dict = {
'model': 'GCMC',
'accum': 'stack',
'sparse_feature': False,
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
class TestKnowledgeRecommender2(unittest.TestCase):
def test_cfkg(self):
config_dict = {
'model': 'CFKG',
'loss_function': 'transe',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_ktup(self):
config_dict = {
'model': 'KTUP',
'use_st_gumbel': False,
'L1_flag': True,
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_kgat(self):
config_dict = {
'model': 'KGAT',
'aggregator_type': 'gcn',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
config_dict = {
'model': 'KGAT',
'aggregator_type': 'graphsage',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_mkr(self):
config_dict = {
'model': 'MKR',
'use_inner_product': False,
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_kgcn(self):
config_dict = {
'model': 'KGCN',
'aggregator': 'neighbor',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
config_dict = {
'model': 'KGCN',
'aggregator': 'concat',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_kgnnls(self):
config_dict = {
'model': 'KGNNLS',
'aggregator': 'neighbor',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
config_dict = {
'model': 'KGNNLS',
'aggregator': 'concat',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
class TestContextRecommender2(unittest.TestCase):
def test_xdeepfm(self):
config_dict = {
'model': 'xDeepFM',
'direct': True,
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_pnn(self):
config_dict = {
'model': 'PNN',
'use_inner': True,
'use_outer': True,
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
config_dict = {
'model': 'PNN',
'use_inner': False,
'use_outer': False,
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
class TestSequentialRecommender2(unittest.TestCase):
def test_gru4rec(self):
config_dict = {
'model': 'GRU4Rec',
'loss_type': 'BPR',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_narm(self):
config_dict = {
'model': 'NARM',
'loss_type': 'BPR',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_stamp(self):
config_dict = {
'model': 'STAMP',
'loss_type': 'BPR',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_caser(self):
config_dict = {
'model': 'Caser',
'loss_type': 'BPR',
'MAX_ITEM_LIST_LENGTH': 10,
'reproducibility': False,
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_nextitnet(self):
config_dict = {
'model': 'NextItNet',
'loss_type': 'BPR',
'reproducibility': False,
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_srgnn(self):
config_dict = {
'model': 'SRGNN',
'loss_type': 'BPR',
'MAX_ITEM_LIST_LENGTH': 3,
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_sasrec(self):
config_dict = {
'model': 'SASRec',
'loss_type': 'BPR',
'hidden_act': 'relu'
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
config_dict = {
'model': 'SASRec',
'loss_type': 'BPR',
'hidden_act': 'sigmoid'
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_bert4rec(self):
config_dict = {
'model': 'BERT4Rec',
'loss_type': 'BPR',
'hidden_act': 'swish'
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_gcsan(self):
config_dict = {
'model': 'GCSAN',
'loss_type': 'BPR',
'hidden_act': 'tanh',
'MAX_ITEM_LIST_LENGTH': 3,
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_gru4recf(self):
config_dict = {
'model': 'GRU4RecF',
'pooling_mode': 'max',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
config_dict = {
'model': 'GRU4RecF',
'pooling_mode': 'sum',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_sasrecf(self):
config_dict = {
'model': 'SASRecF',
'pooling_mode': 'max',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
config_dict = {
'model': 'SASRecF',
'pooling_mode': 'sum',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
def test_fdsa(self):
config_dict = {
'model': 'FDSA',
'pooling_mode': 'max',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
config_dict = {
'model': 'FDSA',
'pooling_mode': 'sum',
}
objective_function(config_dict=config_dict,
config_file_list=['test_model.yaml'], saved=False)
if __name__ == '__main__':
unittest.main()
| 31.59587
| 83
| 0.53235
| 2,101
| 21,422
| 5.073298
| 0.081866
| 0.239234
| 0.255183
| 0.215311
| 0.84811
| 0.843419
| 0.829628
| 0.827564
| 0.802796
| 0.79848
| 0
| 0.004271
| 0.355196
| 21,422
| 677
| 84
| 31.642541
| 0.767393
| 0.026281
| 0
| 0.692171
| 0
| 0
| 0.142028
| 0.001296
| 0
| 0
| 0
| 0.001477
| 0
| 1
| 0.131673
| false
| 0
| 0.003559
| 0
| 0.149466
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
51087c2b09dec827b72cf85084a75e7d18b25db2
| 173
|
py
|
Python
|
payments/models/mpesa_models.py
|
Shopyangu-engineering/Shopyangu-Payments
|
2a9d0b4583f2b8cc473c6e2b3a36bc4aad1194bb
|
[
"BSD-3-Clause"
] | null | null | null |
payments/models/mpesa_models.py
|
Shopyangu-engineering/Shopyangu-Payments
|
2a9d0b4583f2b8cc473c6e2b3a36bc4aad1194bb
|
[
"BSD-3-Clause"
] | null | null | null |
payments/models/mpesa_models.py
|
Shopyangu-engineering/Shopyangu-Payments
|
2a9d0b4583f2b8cc473c6e2b3a36bc4aad1194bb
|
[
"BSD-3-Clause"
] | null | null | null |
from payments.models.abstract_models import AbstractMpesaExpressRequest
class MpesaExpressRequest(AbstractMpesaExpressRequest):
"""Handles Online Checkout"""
pass
| 24.714286
| 71
| 0.820809
| 14
| 173
| 10.071429
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0.115607
| 173
| 6
| 72
| 28.833333
| 0.921569
| 0.132948
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.333333
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 7
|
511e5e1eba264de12e568591b4e4afd840a0f57d
| 295,165
|
py
|
Python
|
version/app_constants.py
|
rabaarabaa/happypanda
|
e35fe4b32ea4fd5f373f226c4d6026e0d6d11e80
|
[
"Apache-2.0"
] | null | null | null |
version/app_constants.py
|
rabaarabaa/happypanda
|
e35fe4b32ea4fd5f373f226c4d6026e0d6d11e80
|
[
"Apache-2.0"
] | 4
|
2020-11-10T01:43:50.000Z
|
2021-01-14T21:14:38.000Z
|
version/app_constants.py
|
rabaarabaa/happypanda
|
e35fe4b32ea4fd5f373f226c4d6026e0d6d11e80
|
[
"Apache-2.0"
] | null | null | null |
# This file is part of Happypanda.
# Happypanda is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 2 of the License, or
# any later version.
# Happypanda is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
# You should have received a copy of the GNU General Public License
# along with Happypanda. If not, see <http://www.gnu.org/licenses/>.
"""Contains constants to be used by several modules"""
from __future__ import annotations
import enum
import os
import sys
from typing import Set, TYPE_CHECKING
import qtawesome as qta
from PyQt5.QtGui import QIcon
from . import settings
from .database import db_constants
if TYPE_CHECKING:
from . import gallerydb
# Version number
vs = '1.1'
DEBUG = False
OS_NAME = ''
if sys.platform.startswith('darwin'):
OS_NAME = "darwin"
elif os.name == 'nt':
OS_NAME = "windows"
elif os.name == 'posix':
OS_NAME = "linux"
APP_RESTART_CODE = 0
get = settings.get
posix_program_dir = os.path.dirname(os.path.realpath(__file__))
if os.name == 'posix':
static_dir = os.path.join(posix_program_dir, '../res')
bin_dir = os.path.join(posix_program_dir, 'bin')
temp_dir = os.path.join(posix_program_dir, 'temp')
else:
bin_dir = os.path.join(os.getcwd(), 'bin')
static_dir = os.path.join(os.getcwd(), "res")
temp_dir = os.path.join('temp')
# path to unrar tool binary
unrar_tool_path = get('', 'Application', 'unrar tool path')
# type of download needed by download manager for each site parser
# NOTE define here if any new type will be supported in the future.
DOWNLOAD_TYPE_ARCHIVE = 0
DOWNLOAD_TYPE_TORRENT = 1 # Note: With this type, file will be sent to torrent program
DOWNLOAD_TYPE_OTHER = 2
VALID_GALLERY_CATEGORY = (
'Doujinshi',
'Manga',
'Artist CG',
'Game CG',
'Western',
'Non-H',
'Image Set',
'Cosplay',
'Miscellaneous',
'Private'
)
# default stylesheet path
default_stylesheet_path = os.path.join(static_dir, "style.css")
user_stylesheet_path = ""
INTERNAL_LEVEL = 8
FIRST_TIME_LEVEL = get(INTERNAL_LEVEL, 'Application', 'first time level', int)
UPDATE_VERSION = get('0.30', 'Application', 'version', str)
FORCE_HIGH_DPI_SUPPORT = get(False, 'Advanced', 'force high dpi support', bool)
# sizes
MAIN_W = 1061 # main window
MAIN_H = 650 # main window
SIZE_FACTOR = get(10, 'Visual', 'size factor', int)
GRID_SPACING = get(15, 'Visual', 'grid spacing', int)
LISTBOX_H_SIZE = 190
LISTBOX_W_SIZE = 950
GRIDBOX_LBL_H = 60
THUMB_H_SIZE = 190 + SIZE_FACTOR
THUMB_W_SIZE = 133 + SIZE_FACTOR
THUMB_DEFAULT = (THUMB_W_SIZE, THUMB_H_SIZE)
THUMB_SMALL = (140, 93)
# Columns
COLUMNS = tuple(range(11))
TITLE = 0
ARTIST = 1
DESCR = 2
TAGS = 3
TYPE = 4
FAV = 5
CHAPTERS = 6
LANGUAGE = 7
LINK = 8
PUB_DATE = 9
DATE_ADDED = 10
@enum.unique
class ViewType(enum.IntEnum):
Default = 1
Addition = 2
Duplicate = 3
@enum.unique
class ProfileType(enum.Enum):
Default = 1
Small = 2
# Application
SYSTEM_TRAY = None
NOTIF_BAR = None
NOTIF_BUBBLE = None
STAT_MSG_METHOD = None
GENERAL_THREAD = None
WHEEL_SCROLL_EFFECT = 10
DOWNLOAD_MANAGER = None
# ICONS
G_LISTS_ICON_WH: QIcon
G_LISTS_ICON: QIcon
LIST_ICON: QIcon
ARTISTS_ICON: QIcon
ARTIST_ICON: QIcon
NSTAGS_ICON: QIcon
PLUS_ICON: QIcon
ARROW_RIGHT_ICON: QIcon
ARROW_LEFT_ICON: QIcon
GRID_ICON: QIcon
GRIDL_ICON: QIcon
SEARCH_ICON: QIcon
CROSS_ICON: QIcon
CROSS_ICON_WH: QIcon
MANAGER_ICON: QIcon
DOWNLOAD_ICON: QIcon
RANDOM_ICON: QIcon
DUPLICATE_ICON: QIcon
SORT_ICON_DESC: QIcon
SORT_ICON_ASC: QIcon
REFRESH_ICON: QIcon
STAR_ICON: QIcon
CIRCLE_ICON: QIcon
INBOX_ICON: QIcon
SPINNER_ICON: QIcon
# IMPORTANT: Neccessary because qtawesome can't function without an instanced QApplication
# IMPORTANT: called after instancing qApplication in main.py
def load_icons():
global G_LISTS_ICON_WH
global G_LISTS_ICON
global LIST_ICON
global ARTISTS_ICON
global ARTIST_ICON
global NSTAGS_ICON
global PLUS_ICON
global ARROW_RIGHT_ICON
global ARROW_LEFT_ICON
global GRID_ICON
global GRIDL_ICON
global SEARCH_ICON
global CROSS_ICON
global CROSS_ICON_WH
global MANAGER_ICON
global DOWNLOAD_ICON
global RANDOM_ICON
global DUPLICATE_ICON
global SORT_ICON_DESC
global SORT_ICON_ASC
global REFRESH_ICON
global STAR_ICON
global CIRCLE_ICON
global INBOX_ICON
global SPINNER_ICON
G_LISTS_ICON_WH = qta.icon("fa.bars", color="white")
G_LISTS_ICON = qta.icon("fa.bars", color="black")
LIST_ICON = qta.icon("fa.bars", color="white")
ARTISTS_ICON = qta.icon("fa.users", color="white")
ARTIST_ICON = qta.icon("fa.user", color="black")
NSTAGS_ICON = qta.icon("fa.sitemap", color="white")
PLUS_ICON = qta.icon("fa.plus", color="white")
ARROW_RIGHT_ICON = qta.icon("fa.angle-double-right", color="white")
ARROW_LEFT_ICON = qta.icon("fa.angle-double-left", color="white")
GRID_ICON = qta.icon("fa.th", color="white")
GRIDL_ICON = qta.icon("fa.th-large", color="white")
SEARCH_ICON = qta.icon("fa.search", color="white")
CROSS_ICON = qta.icon("fa.times", color="black")
CROSS_ICON_WH = qta.icon("fa.times", color="white")
MANAGER_ICON = qta.icon("fa.tasks", color="white")
DOWNLOAD_ICON = qta.icon("fa.arrow-circle-o-down", color="white")
RANDOM_ICON = qta.icon("fa.random", color="white")
DUPLICATE_ICON = qta.icon("fa.files-o", color="white")
SORT_ICON_DESC = qta.icon("fa.sort-amount-desc", color="white")
SORT_ICON_ASC = qta.icon("fa.sort-amount-asc", color="white")
REFRESH_ICON = qta.icon("fa.refresh", color="black")
STAR_ICON = qta.icon("fa.star", color="white")
CIRCLE_ICON = qta.icon("fa.circle", color="white")
INBOX_ICON = qta.icon("fa.inbox", color="white")
SPINNER_ICON = qta.icon("fa.spinner", color="white")
# image paths
GALLERY_DEF_ICO_PATH = os.path.join(static_dir, "gallery_def_ico.ico")
GALLERY_EXT_ICO_PATH = os.path.join(static_dir, "gallery_ext_ico.ico")
APP_ICO_PATH = os.path.join(static_dir, "happypanda.ico")
SETTINGS_PATH = os.path.join(static_dir, "settings.png")
NO_IMAGE_PATH = os.path.join(static_dir, "default.jpg")
# Monitored Paths
OVERRIDE_MONITOR = False # set true to make watchers to ignore next item (will be set to False)
LOOK_NEW_GALLERY_STARTUP = get(True, 'Application', 'look new gallery startup', bool)
ENABLE_MONITOR = get(True, 'Application', 'enable monitor', bool)
MONITOR_PATHS = [p for p in get([], 'Application', 'monitor paths', list) if os.path.exists(p)]
IGNORE_PATHS = get([], 'Application', 'ignore paths', list)
IGNORE_EXTS = get([], 'Application', 'ignore exts', list)
SCANNING_FOR_GALLERIES = False # if a scan for new galleries is being done
TEMP_PATH_IGNORE = []
# GENERAL
# set to true to make a fetch instance ignore moving files (will be set to false)
OVERRIDE_MOVE_IMPORTED_IN_FETCH = False
MOVE_IMPORTED_GALLERIES = get(False, 'Application', 'move imported galleries', bool)
IMPORTED_GALLERY_DEF_PATH = get('', 'Application', 'imported gallery def path', str)
OPEN_RANDOM_GALLERY_CHAPTERS = get(False, 'Application', 'open random gallery chapters', bool)
# set to true to make a fetch instance treat subfolder as galleries (will be set to false)
OVERRIDE_SUBFOLDER_AS_GALLERY = False
SUBFOLDER_AS_GALLERY = get(False, 'Application', 'subfolder as gallery', bool)
RENAME_GALLERY_SOURCE = get(False, 'Application', 'rename gallery source', bool)
EXTRACT_CHAPTER_BEFORE_OPENING = get(True, 'Application', 'extract chapter before opening', bool)
OPEN_GALLERIES_SEQUENTIALLY = get(False, 'Application', 'open galleries sequentially', bool)
SEND_FILES_TO_TRASH = get(True, 'Application', 'send files to trash', bool)
SHOW_SIDEBAR_WIDGET = get(False, 'Application', 'show sidebar widget', bool)
# ADVANCED
GALLERY_DATA_FIX_REGEX = get("", 'Advanced', 'gallery data fix regex', str)
GALLERY_DATA_FIX_TITLE = get(True, 'Advanced', 'gallery data fix title', bool)
GALLERY_DATA_FIX_ARTIST = get(True, 'Advanced', 'gallery data fix artist', bool)
GALLERY_DATA_FIX_REPLACE = get("", 'Advanced', 'gallery data fix replace', str)
EXTERNAL_VIEWER_ARGS = get("{$file}", 'Advanced', 'external viewer args', str)
# Import/Export
EXPORT_FORMAT = get(1, 'Advanced', 'export format', int)
EXPORT_PATH = ''
# HASH
HASH_GALLERY_PAGES = get('all', 'Advanced', 'hash gallery pages', int, str)
# WEB
INCLUDE_EH_EXPUNGED = get(False, 'Web', 'include eh expunged', bool)
GLOBAL_EHEN_TIME = get(5, 'Web', 'global ehen time offset', int)
GLOBAL_EHEN_LOCK = False
DEFAULT_EHEN_URL = get('https://e-hentai.org/', 'Web', 'default ehen url', str)
REPLACE_METADATA = get(False, 'Web', 'replace metadata', bool)
ALWAYS_CHOOSE_FIRST_HIT = get(False, 'Web', 'always choose first hit', bool)
USE_GALLERY_LINK = get(True, 'Web', 'use gallery link', bool)
USE_JPN_TITLE = get(False, 'Web', 'use jpn title', bool)
CONTINUE_AUTO_METADATA_FETCHER = get(True, 'Web', 'continue auto metadata fetcher', bool)
HEN_DOWNLOAD_TYPE = get(DOWNLOAD_TYPE_ARCHIVE, 'Web', 'hen download type', int)
DOWNLOAD_DIRECTORY = get('downloads', 'Web', 'download directory', str)
TORRENT_CLIENT = get('', 'Web', 'torrent client', str)
HEN_LIST = get(['chaikahen'], 'Web', 'hen list', list)
DOWNLOAD_GALLERY_TO_LIB = get(False, 'Web', 'download galleries to library', bool)
# External Viewer
EXTERNAL_VIEWER_SUPPORT = {'honeyview': ['Honeyview.exe']}
USE_EXTERNAL_VIEWER = get(False, 'Application', 'use external viewer', bool)
EXTERNAL_VIEWER_PATH = os.path.normcase(get('', 'Application', 'external viewer path', str))
_REFRESH_EXTERNAL_VIEWER = False
# controls
THUMBNAIL_CACHE_SIZE = (1024, get(200, 'Advanced', 'cache size', int)) # 1024 is 1mib
PREFETCH_ITEM_AMOUNT = get(50, 'Advanced', 'prefetch item amount', int) # amount of items to prefetch
SCROLL_SPEED = get(7, 'Advanced', 'scroll speed', int) # controls how many steps it takes when scrolling
# POPUP
POPUP_WIDTH = get(500, 'Visual', 'popup.w', int)
POPUP_HEIGHT = get(300, 'Visual', 'popup.h', int)
# Gallery
APPEND_TAGS_GALLERIES = get(True, 'Application', 'append tags to gallery', bool)
KEEP_ADDED_GALLERIES = get(True, 'Application', 'keep added galleries', bool)
GALLERY_METAFILE_KEYWORDS = ('info.json', 'info.txt')
CURRENT_SORT = get('title', 'General', 'current sort')
HIGH_QUALITY_THUMBS = get(False, 'Visual', 'high quality thumbs', bool)
DISPLAY_RATING = get(True, 'Visual', 'display gallery rating', bool)
DISPLAY_GALLERY_TYPE = get(False, 'Visual', 'display gallery type', bool) if not sys.platform.startswith(
'darwin') else False
DISPLAY_GALLERY_RIBBON = get(True, 'Visual', 'display gallery ribbon', bool)
GALLERY_FONT = (get('Segoe UI', 'Visual', 'gallery font family', str),
get(11, 'Visual', 'gallery font size', int))
GALLERY_FONT_ELIDE = get(True, 'Visual', 'gallery font elide', bool)
G_DEF_LANGUAGE = get('English', 'General', 'gallery default language', str)
G_CUSTOM_LANGUAGES = get([], 'General', 'gallery custom languages', list)
G_DEF_STATUS = get('Completed', 'General', 'gallery default status', str)
G_DEF_TYPE = get('Doujinshi', 'General', 'gallery default type', str)
G_LANGUAGES = ["English", "Japanese", "Chinese", "Other"]
G_STATUS = ["Ongoing", "Completed", "Unknown"]
G_TYPES = ["Manga", "Doujinshi", "Artist CG Sets", "Game CG Sets", "Western", "Image Sets", "Non-H", "Cosplay", "Other"]
@enum.unique
class GalleryState(enum.Enum):
Default = 1
New = 2
# Colors
GRID_VIEW_TITLE_COLOR = get('#ffffff', 'Visual', 'grid view title color', str)
GRID_VIEW_ARTIST_COLOR = get('#e2e2e2', 'Visual', 'grid view artist color', str)
GRID_VIEW_LABEL_COLOR = get('#d64933', 'Visual', 'grid view label color', str)
GRID_VIEW_T_MANGA_COLOR = get('#3498db', 'Visual', 'grid view t manga color', str)
GRID_VIEW_T_DOUJIN_COLOR = get('#e74c3c', 'Visual', 'grid view t doujin color', str)
GRID_VIEW_T_ARTIST_CG_COLOR = get('#16a085', 'Visual', 'grid view t artist cg color', str)
GRID_VIEW_T_GAME_CG_COLOR = get('#2ecc71', 'Visual', 'grid view t game cg color', str)
GRID_VIEW_T_WESTERN_COLOR = get('#ecf0f1', 'Visual', 'grid view t western color', str)
GRID_VIEW_T_IMAGE_COLOR = get('#f39c12', 'Visual', 'grid view t image color', str)
GRID_VIEW_T_NON_H_COLOR = get('#f1c40f', 'Visual', 'grid view t non-h color', str)
GRID_VIEW_T_COSPLAY_COLOR = get('#9b59b6', 'Visual', 'grid view t cosplay color', str)
GRID_VIEW_T_OTHER_COLOR = get('#34495e', 'Visual', 'grid view t other color', str)
# Search
SEARCH_AUTOCOMPLETE = get(True, 'Application', 'search autocomplete', bool)
GALLERY_SEARCH_REGEX = get(False, 'Application', 'allow search regex', bool)
SEARCH_ON_ENTER = get(False, 'Application', 'search on enter', bool)
GALLERY_SEARCH_STRICT = get(False, 'Application', 'gallery search strict', bool)
GALLERY_SEARCH_CASE = get(False, 'Application', 'gallery search case', bool)
@enum.unique
class Search(enum.Enum):
Strict = 1
Case = 2
Regex = 3
# Grid Tooltip
GRID_TOOLTIP = get(True, 'Visual', 'grid tooltip', bool)
TOOLTIP_TITLE = get(False, 'Visual', 'tooltip title', bool)
TOOLTIP_AUTHOR = get(False, 'Visual', 'tooltip author', bool)
TOOLTIP_CHAPTERS = get(True, 'Visual', 'tooltip chapters', bool)
TOOLTIP_STATUS = get(True, 'Visual', 'tooltip status', bool)
TOOLTIP_TYPE = get(True, 'Visual', 'tooltip type', bool)
TOOLTIP_LANG = get(False, 'Visual', 'tooltip lang', bool)
TOOLTIP_DESCR = get(False, 'Visual', 'tooltip descr', bool)
TOOLTIP_TAGS = get(False, 'Visual', 'tooltip tags', bool)
TOOLTIP_LAST_READ = get(True, 'Visual', 'tooltip last read', bool)
TOOLTIP_TIMES_READ = get(True, 'Visual', 'tooltip times read', bool)
TOOLTIP_PUB_DATE = get(False, 'Visual', 'tooltip pub date', bool)
TOOLTIP_DATE_ADDED = get(True, 'Visual', 'tooltip date added', bool)
GALLERY_ADDITION_DATA = []
GALLERY_DATA = [] # contains the most up to date gallery data
GALLERY_LISTS: Set[gallerydb.GalleryList] = set() # contains the most up to dat gallery lists
# Exceptions
class MetadataFetchFail(Exception):
pass
class InternalPagesMismatch(Exception):
pass
class ChapterExists(Exception):
pass
class ChapterWrongParentGallery(Exception):
pass
class CreateArchiveFail(Exception):
pass
class FileNotFoundInArchive(Exception):
pass
class WrongURL(Exception):
pass
class NeedLogin(Exception):
pass
class WrongLogin(Exception):
pass
class HTMLParsing(Exception):
pass
class GNotAvailable(Exception):
pass
class TitleParsingError(Exception):
pass
EXTERNAL_VIEWER_INFO = (
"""{$folder} = path to folder
{$file} = path to first image
Tip: IrfanView uses {$file}
"""
)
WHAT_IS_FILTER = (
"""[FILTER]
Filters are basically predefined gallery search terms.
Every time a gallery matches the specific filter it gets automatically added to the list!
Filter works the same way a gallery search does so make sure to read the guide in
Settings -> About -> Search Guide.
You can write any valid gallery search term.
[ENFORCE]
With Enforce enabled the list will only allow galleries that match the specified filter into the list.
"""
)
SUPPORTED_DOWNLOAD_URLS = (
"""Supported URLs:
- exhentai/g.e-hentai/e-hentai gallery urls, e.g.: https://e-hentai.org/g/618395/0439fa3666/
- panda.chaika.moe gallery and archive urls
http://panda.chaika.moe/[0]/[1]/ where [0] is 'gallery' or 'archive' and [1] are numbers
- asmhentai.com gallery urls, e.g: http://asmhentai.com/g/102845/
"""
)
SUPPORTED_METADATA_URLS = (
"""Supported gallery URLs:
- exhentai/g.e-hentai gallery urls, e.g.: http://g.e-hentai.org/g/618395/0439fa3666/
- panda.chaika.moe gallery and archive urls
http://panda.chaika.moe/[0]/[1]/ where [0] is 'gallery' or 'archive' and [1] is numbers
"""
)
EXHEN_COOKIE_TUTORIAL = (
"""
How do I find these two values? <br \>
<b>All browsers</b> <br \>
1. Navigate to e-hentai.org (needs to be logged in) or exhentai.org <br \>
2. Right click on page --> Inspect element <br \>
3. Go on 'Console' tab <br \>
4. Write : 'document.cookie' <br \>
5. A line of values should appear that correspond to active cookies <br \>
6. Look for the 'ipb_member_id' and 'ipb_pass_hash' values <br \>
"""
)
REGEXCHEAT = (
"""
<!DOCTYPE html><html><head><meta charset="utf-8"><title>Untitled Document.md</title><style>@import 'https://cdnjs.cloudflare.com/ajax/libs/KaTeX/0.2.0/katex.min.css';code{color:#c7254e;background-color:#f9f2f4;border-radius:4px}code,kbd{padding:2px 4px}kbd{color:#fff;background-color:#333;border-radius:3px;box-shadow:inset 0 -1px 0 rgba(0,0,0,.25)}kbd kbd{padding:0;font-size:100%;box-shadow:none}pre{display:block;margin:0 0 10px;word-break:break-all;word-wrap:break-word;color:#333;background-color:#f5f5f5;border:1px solid #ccc;border-radius:4px}pre code{padding:0;font-size:inherit;color:inherit;white-space:pre-wrap;background-color:transparent;border-radius:0}.pre-scrollable{max-height:340px;overflow-y:scroll}fieldset{border:0;min-width:0}legend{display:block;width:100%;margin-bottom:20px;font-size:21px;line-height:inherit;color:#333;border-bottom:1px solid 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<h4><a id="Characters_I_1"></a>Characters I</h4>
<table>
<thead>
<tr>
<th>Expression</th>
<th>Meaning</th>
</tr>
</thead>
<tbody>
<tr>
<td>.</td>
<td>Match any character except newline</td>
</tr>
<tr>
<td>^</td>
<td>Match the start of the string</td>
</tr>
<tr>
<td>$</td>
<td>Match the end of the string</td>
</tr>
<tr>
<td>*</td>
<td>Match 0 or more repetitions</td>
</tr>
<tr>
<td>+</td>
<td>Match 1 or more repetitions</td>
</tr>
<tr>
<td>?</td>
<td>Match 0 or 1 repetitions</td>
</tr>
</tbody>
</table>
<h4><a id="Special_Sequences_I_12"></a>Special Sequences I</h4>
<table>
<thead>
<tr>
<th>Expression</th>
<th>Meaning</th>
</tr>
</thead>
<tbody>
<tr>
<td>\A</td>
<td>Match only at start of string</td>
</tr>
<tr>
<td>\\b</td>
<td>Match empty string, only at beginning or end of a word</td>
</tr>
<tr>
<td>\B</td>
<td>Match empty string, only when it is not at beginning or end of word</td>
</tr>
<tr>
<td>\d</td>
<td>Match digits # same as [0-9]</td>
</tr>
<tr>
<td>\D</td>
<td>Match any non digit # same as [^0-9]</td>
</tr>
</tbody>
</table>
<h4><a id="Characters_II_22"></a>Characters II</h4>
<table>
<thead>
<tr>
<th>Expression</th>
<th>Meaning</th>
</tr>
</thead>
<tbody>
<tr>
<td>*?</td>
<td>Match 0 or more repetitions non-greedy</td>
</tr>
<tr>
<td>+?</td>
<td>Match 1 or more repetitions non-greedy</td>
</tr>
<tr>
<td>??</td>
<td>Match 0 or 1 repetitions non-greedy</td>
</tr>
<tr>
<td>\</td>
<td>Escape special characters</td>
</tr>
<tr>
<td>[]</td>
<td>Match a set of characters</td>
</tr>
<tr>
<td>[a-z]</td>
<td>Match any lowercase ASCII letter</td>
</tr>
<tr>
<td>[lower-upper]</td>
<td>Match a set of characters from lower to upper</td>
</tr>
<tr>
<td>[^]</td>
<td>Match characters NOT in a set</td>
</tr>
<tr>
<td>A|B</td>
<td>Match either A or B regular expressions (non-greedy)</td>
</tr>
</tbody>
</table>
<h4><a id="Special_Sequences_II_36"></a>Special Sequences II</h4>
<table>
<thead>
<tr>
<th>Expression</th>
<th>Meaning</th>
</tr>
</thead>
<tbody>
<tr>
<td>\s</td>
<td>Match whitespace characters # same as [ \t\n\r\f\v]</td>
</tr>
<tr>
<td>\S</td>
<td>Match non whitespace characters #same as [^ \t\n\r\f\v]</td>
</tr>
<tr>
<td>\w</td>
<td>Match unicode word characters # same as [a-zA-Z0-9_]</td>
</tr>
<tr>
<td>\W</td>
<td>Match any character not a Unicode word character # same as [^a-zA-Z0-9_]</td>
</tr>
<tr>
<td>\Z</td>
<td>Match only at end of string</td>
</tr>
</tbody>
</table>
<h4><a id="Characters_III_46"></a>Characters III</h4>
<table>
<thead>
<tr>
<th>Expression</th>
<th>Meaning</th>
</tr>
</thead>
<tbody>
<tr>
<td>{m}</td>
<td>Match exactly m copies</td>
</tr>
<tr>
<td>{m,n}</td>
<td>Match from m to n repetitions</td>
</tr>
<tr>
<td>{,n}</td>
<td>Match from 0 to n repetitions</td>
</tr>
<tr>
<td>{m,}</td>
<td>Match from m to infinite repetitions</td>
</tr>
<tr>
<td>{m,n}?</td>
<td>Match from m to n repetitions non-greedy (as few as possible)</td>
</tr>
</tbody>
</table>
<h4><a id="Groups_I_56"></a>Groups I</h4>
<table>
<thead>
<tr>
<th>Expression</th>
<th>Meaning</th>
</tr>
</thead>
<tbody>
<tr>
<td>(match)</td>
<td>Use to specify a group for which match can be retrieved later</td>
</tr>
<tr>
<td>(?:match)</td>
<td>Non-capturing version parenthesis (match cannot be retrieved later)</td>
</tr>
<tr>
<td>(?P<name>)</td>
<td>Capture group with name “name”</td>
</tr>
<tr>
<td>(?P=name)</td>
<td>Back reference group named “name” in same pattern</td>
</tr>
<tr>
<td>(?#comment)</td>
<td>Comment</td>
</tr>
</tbody>
</table>
<h4><a id="Lookahead__Behind_I_66"></a>Lookahead / Behind I</h4>
<table>
<thead>
<tr>
<th>Expression</th>
<th>Meaning</th>
</tr>
</thead>
<tbody>
<tr>
<td>(?=match)</td>
<td>Lookahead assertion - match if contents matches next, but don’t consume any of the string.</td>
</tr>
<tr>
<td>(?!match)</td>
<td>Negative lookahead assertion - match if contents do not match next</td>
</tr>
<tr>
<td>(?<=match)</td>
<td>Positive lookbehind assertion - match if current position in string is preceded by match</td>
</tr>
<tr>
<td>(?<!match)</td>
<td>Negative lookbehind assertion - match if current position is not preceded by match</td>
</tr>
<tr>
<td>(?(id/name)yes|no)</td>
<td>Match “yes” pattern if id or name exists, otherwise match “no” pattern</td>
</tr>
</tbody>
</table>
</body></html>
"""
)
ABOUT = (
"""
<!DOCTYPE html><html><head></head><body>
<p><strong>Creator</strong>: <a href="https://github.com/Pewpews">Pewpews</a></p>
<p>Twitter: <a href="https://twitter.com/pewspew">@pewspew</a></p>
<p>Chat: <a href="https://gitter.im/Pewpews/happypanda">Gitter chat</a></p>
<p>Email: <code>happypandabugs@gmail.com</code></p>
<p><strong>Current version</strong>: {}</p>
<p><strong>Current database version</strong>: {}</p>
<p>License: <a href="https://www.gnu.org/licenses/gpl-2.0.txt"> GENERAL PUBLIC LICENSE, Version 2</a></p>
<p>Happypanda was created using:</p>
<ul>
<li>Python 3.5</li>
<li>The Qt5 Framework</li>
<li>Various python libraries (see github repo)</li>
</ul>
<p>Contributors (github):
rachmadaniHaryono (big thanks!), nonamethanks, ImoutoChan, Moshidesu, peaceanpizza, utterbull, LePearlo</p>
</body></html>
"""
).format(vs, db_constants.CURRENT_DB_VERSION)
TROUBLE_GUIDE = (
"""
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<p>When you encounter a bug, I encourage you to follow these steps to make it easier for me to troubleshoot.
<ol>
<li>Can you start a new instance of Happypanda and reproduce the bug?
<ul>
<li>If that’s not the case then skip the steps below and go to <strong>How to report</strong>
<ol>
<li>First close all instances of Happypanda.</li>
<li>Open a command prompt *(terminal in <em>nix)</em> and navigate to where Happypanda is installed. <em>Eg.: <code>cd path/to/happypanda</code></em></li>
<li>Now type the name of the main executable with a <code>-d</code> following, <em>eg.: <code>happypanda.exe -d</code> or <code>main.py -d</code> if you’re running from source.</em></li>
<li>The program will now open and create a new file named <code>happypanda_debug.log</code></li>
<li>Now you try to reproduce the error/bug</li>
</ol>
</li>
</ul>
</li>
</ol>
<h3><a id="How_to_report_12"></a>How to report</h3>
<p>If you completed the steps above, make sure to include the <code>happypanda_debug.log</code> file which was created
and a description of how you reproduced the error/bug.</p>
<ol>
<li>Navigate to where you installed Happypanda with a file explorer and find <code>happypanda.log</code>. Send it to me with a description of the bug.</li>
<li>You have 3 options of contacting me:
<ul>
<li>Go to the github repo <a href="https://github.com/Pewpews/happypanda/issues">issue page</a> and create a new issue</li>
<li>Enter the gitter chat <a href="https://gitter.im/Pewpews/happypanda">here</a> and tell me about your issue</li>
<li>If for some reason you don’t want anything to do with github, feel free to email me: <code>happypandabugs@gmail.com</code></li>
</ul>
</li>
</ol>
</body></html>
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<h4><a id="Constraints_0"></a>Constraints</h4>
<ul>
<li><code>" (quote)</code>, <code>(whitespace)</code>(unless in quotes), <code>, (comma)</code>, <code>: (semi-colon)</code>, <code>[ (starting bracket)</code> and <code>] (closing bracket)</code> are <strong>ignored</strong> and not included in the search</li>
<li>terms and namespaces are separated by <code>(white space)</code> (if not in quotes) and/or a <code>, (comma)</code></li>
<li>to include <em>whitespace</em> you must put the <em>term</em> in quotes: <code>"this is a valid term"</code></li>
<li>to exclude a term, prefix the term with a <code>- (hyphen)</code>: <code>-"i want to exclude this"</code></li>
</ul>
<h4><a id="Searching_6"></a>Searching</h4>
<p><code>-></code> points where the terms will be searched</p>
<ul>
<li><code>term</code> => show only galleries with <code>term</code> in them <code>-></code> (title, artist, language, namespace & tags)</li>
<li><code>-term</code> => exclude all galleries with <code>term</code> in them <code>-></code> (title, artist, language, namespace & tags)</li>
<li><code>ns:term</code> => show only galleries where <code>term</code> is in the <code>ns</code> namespace in them <code>-></code> (namespace & tags)</li>
<li><code>-ns:term</code> => exclude all galleries where <code>term</code> is in the <code>ns</code> namespace in them <code>-></code> (namespace & tags)</li>
<li><code>ns:[term1, term2, ...]</code> => equivalent to <code>ns:term1</code>, <code>ns:term2</code></li>
<li><code>-ns:[term1, term2, ...]</code> => equivalent to <code>-ns:term1</code>, <code>-ns:term2</code></li>
</ul>
<h4><a id="Protips__warnings_16"></a>Protips & warnings</h4>
<ul>
<li>When grouping tags under the same namespace in brackets, excluding tags (<code>-term</code>) and including tags (<code>term</code>) can both be used:
<ul>
<li><code>ns:[term, -term1, term2, ...]</code> -> equivalent to <code>ns:term</code>, <code>-ns:term1</code>, <code>ns:term2</code></li>
</ul>
</li>
<li><code>ns:-term</code> is <strong>NOT</strong> equivalent to <code>-ns:term</code></li>
<li>You can enchance your search with regex. Regex can be used <em>anywhere</em> in your search terms
<ul>
<li>Enable <em>regex</em> in settings</li>
</ul>
</li>
<li>Clicking on the search icon on the search bar will give you more options to search with</li>
</ul>
<h4><a id="Special_namespaced_tags_24"></a>Special namespaced tags</h4>
<p>They work just like normal namespaced tags, meaning that the <em>constraints</em> above also apply to them!</p>
<ul>
<li><strong>Reserved</strong> means that it shouldn’t be used on your galleries. It <strong>won’t</strong> be searched for in your gallery.</li>
<li><strong>Operator</strong> means that less than <code><</code> and greater than <code>></code> are supported. They should be used just like the exclude operator <code>-</code>. E.g.: <code>ns:<term</code> or <code>ns:>[term1, term2]</code>.</li>
<li><code>term</code> means… well, your term… what you want to search for… any kind of characters not in <strong>Constraints</strong> above</li>
<li><code>integer</code> means that only numbers are allowed</li>
<li><code>date</code> means a date format. Most (if not all) date formats are supported (try it out yourself)</li>
</ul>
<hr>
<table>
<thead>
<tr>
<th>Namespaced tag(s)</th>
<th>Reserved</th>
<th>Filtered galleries</th>
<th>Operator</th>
</tr>
</thead>
<tbody>
<tr>
<td><code>tag:none</code>, <code>tag:null</code></td>
<td>*</td>
<td>Galleries with <strong>no</strong> namespace & tags set</td>
<td></td>
</tr>
<tr>
<td><code>artist:none</code>, <code>artist:null</code></td>
<td>*</td>
<td>Galleries with <strong>no</strong> artist set</td>
<td></td>
</tr>
<tr>
<td><code>status:none</code>, <code>status:null</code></td>
<td>*</td>
<td>Galleries with <strong>no</strong> status set</td>
<td></td>
</tr>
<tr>
<td><code>language:none</code>, <code>language:null</code></td>
<td>*</td>
<td>Galleries with <strong>no</strong> language set</td>
<td></td>
</tr>
<tr>
<td><code>type:none</code>, <code>type:null</code></td>
<td>*</td>
<td>Galleries with <strong>no</strong> type set</td>
<td></td>
</tr>
<tr>
<td><code>path:none</code>, <code>path:null</code></td>
<td>*</td>
<td>Galleries that has been <strong>moved/deleted</strong> from the filesystem</td>
<td></td>
</tr>
<tr>
<td><code>descr:none</code>, <code>descr:null</code>, <code>description:none</code>, <code>description:null</code></td>
<td>*</td>
<td>Galleries with <strong>no</strong> description set</td>
<td></td>
</tr>
<tr>
<td><code>"pub date":none</code>, <code>"pub date":null</code>, <code>pub_date:none</code>, <code>pub_date:null</code>, <code>publication:none</code>, <code>publication:null</code></td>
<td>*</td>
<td>Galleries with <strong>no</strong> publication date set</td>
<td></td>
</tr>
<tr>
<td><code>title:term</code></td>
<td></td>
<td>Galleries with <code>term</code> in their title <strong>OR</strong> has matching namespace & tag</td>
<td></td>
</tr>
<tr>
<td><code>artist:term</code></td>
<td></td>
<td>Galleries with <code>term</code> in their artist <strong>OR</strong> has matching namespace & tag</td>
<td></td>
</tr>
<tr>
<td><code>language:term</code>, <code>lang:term</code></td>
<td></td>
<td>Galleries with <code>term</code> in their language <strong>OR</strong> has matching namespace & tag</td>
<td></td>
</tr>
<tr>
<td><code>type:term</code></td>
<td></td>
<td>Galleries with <code>term</code> in their type <strong>OR</strong> has matching namespace & tag</td>
<td></td>
</tr>
<tr>
<td><code>status:term</code></td>
<td></td>
<td>Galleries with <code>term</code> in their status <strong>OR</strong> has matching namespace & tag</td>
<td></td>
</tr>
<tr>
<td><code>descr:term</code>, <code>description:term</code></td>
<td></td>
<td>Galleries with <code>term</code> in their description <strong>OR</strong> has matching namespace & tag</td>
<td></td>
</tr>
<tr>
<td><code>chapter:integer</code>, <code>chapters:integer</code></td>
<td></td>
<td>Galleries with <code>integer</code> chapters <strong>OR</strong> has matching namespace & tag</td>
<td>*</td>
</tr>
<tr>
<td><code>read_count:integer</code>, <code>"read count":integer</code>, <code>times_read:integer</code>, <code>"times read":integer</code></td>
<td></td>
<td>Galleries read <code>integer</code> times <strong>OR</strong> has matching namespace & tag</td>
<td>*</td>
</tr>
<tr>
<td><code>date_added:date</code>, <code>"date added":date</code></td>
<td></td>
<td>Galleries added on <code>date</code> <strong>OR</strong> has matching namespace & tag</td>
<td>*</td>
</tr>
<tr>
<td><code>pub_date:date</code>, <code>"pub date":date</code>, <code>publication:date</code></td>
<td></td>
<td>Galleries published on <code>date</code> <strong>OR</strong> has matching namespace & tag</td>
<td>*</td>
</tr>
<tr>
<td><code>last_read:date</code>, <code>"last read":date</code></td>
<td></td>
<td>Galleries last read on <code>date</code> <strong>OR</strong> has matching namespace & tag</td>
<td>*</td>
</tr>
<tr>
<td><code>rating:integer</code>, <code>stars:integer</code></td>
<td></td>
<td>Galleries that has been rated <code>integer</code> <strong>OR</strong> has matching namespace & tag</td>
<td>*</td>
</tr>
</tbody>
</table>
</body></html>
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<p>The not so obvious keyboard shortcuts:</p>
<hr>
<table>
<thead>
<tr>
<th>Action</th>
<th>Windows</th>
<th>Mac</th>
<th>KDE</th>
<th>Gnome</th>
</tr>
</thead>
<tbody>
<tr>
<td>Quit</td>
<td><code>Ctrl+Q</code></td>
<td>same</td>
<td>same</td>
<td>same</td>
</tr>
<tr>
<td>Focus search bar</td>
<td><code>Ctrl+F</code></td>
<td>same</td>
<td>same</td>
<td>same</td>
</tr>
<tr>
<td>Next view</td>
<td><code>Ctrl+Tab</code>, <code>Forward</code>, <code>Ctrl+F6</code></td>
<td><code>Ctrl+}</code>, <code>Forward</code>, <code>Ctrl+Tab</code></td>
<td><code>Ctrl+Tab</code>, <code>Forward</code>, <code>Ctrl+Comma</code></td>
<td><code>Ctrl+Tab</code>, <code>Forward</code></td>
</tr>
<tr>
<td>Previous view</td>
<td><code>Ctrl+Shift+Tab</code>, <code>Back</code>, <code>Ctrl+Shift+F6</code></td>
<td><code>Ctrl+{</code>, <code>Back</code>, <code>Ctrl+Shift+Tab</code></td>
<td><code>Ctrl+Shift+Tab</code>, <code>Back</code>, <code>Ctrl+Period</code></td>
<td><code>Ctrl+Shift+Tab</code>, <code>Back</code></td>
</tr>
<tr>
<td>Next in search history</td>
<td><code>Alt+Right</code>, <code>Shift+Backspace</code></td>
<td><code>Ctrl+]</code></td>
<td><code>Alt+Right</code></td>
<td><code>Alt+Right</code></td>
</tr>
<tr>
<td>Previous in search history</td>
<td><code>Alt+Left</code>, <code>Backspace</code></td>
<td><code>Ctrl+[</code></td>
<td><code>Alt+Left</code></td>
<td><code>Alt+Left</code></td>
</tr>
<tr>
<td>Help</td>
<td><code>F1</code></td>
<td><code>Ctrl+?</code></td>
<td><code>F1</code></td>
<td><code>F1</code></td>
</tr>
<tr>
<td>Toggle gallery menu</td>
<td><code>Alt+G</code></td>
<td>same</td>
<td>same</td>
<td>same</td>
</tr>
<tr>
<td>Toggle view mode</td>
<td><code>Alt+Space</code></td>
<td>same</td>
<td>same</td>
<td>same</td>
</tr>
<tr>
<td>Settings</td>
<td><code>Ctrl+P</code></td>
<td>same</td>
<td>same</td>
<td>same</td>
</tr>
</tbody>
</table>
</body></html>
"""
)
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0
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|
5129ab50f7c25cfbddfde859a1cbe2d1f8603f2c
| 8,995
|
py
|
Python
|
P0_Coding_Diagnostic/submission_autograder.py
|
zheedong/CS188_Project
|
f10676e0dd6c7f0c46419dced2700c083bd7da72
|
[
"MIT"
] | 1
|
2021-12-10T13:55:03.000Z
|
2021-12-10T13:55:03.000Z
|
tutorial/submission_autograder.py
|
abrarrhine/Artificial-Intelligence
|
20e6b183fc458977f0a9c157d5e40d8487408c86
|
[
"MIT"
] | 13
|
2021-08-23T14:08:47.000Z
|
2022-01-18T08:38:40.000Z
|
P0_Coding_Diagnostic/submission_autograder.py
|
zheedong/CS188_Project
|
f10676e0dd6c7f0c46419dced2700c083bd7da72
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import print_function
from codecs import open
import os, ssl
if (not os.environ.get('PYTHONHTTPSVERIFY', '') and getattr(ssl, '_create_unverified_context', None)):
ssl._create_default_https_context = ssl._create_unverified_context
"""
CS 188 Local Submission Autograder
Written by the CS 188 Staff
==============================================================================
_____ _ _
/ ____| | | |
| (___ | |_ ___ _ __ | |
\___ \| __/ _ \| '_ \| |
____) | || (_) | |_) |_|
|_____/ \__\___/| .__/(_)
| |
|_|
Modifying or tampering with this file is a violation of course policy.
If you're having trouble running the autograder, please contact the staff.
==============================================================================
"""
import bz2, base64
exec(bz2.decompress(base64.b64decode('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')))
| 290.16129
| 8,082
| 0.926848
| 271
| 8,995
| 30.527675
| 0.896679
| 0.003264
| 0.004593
| 0.006286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.135774
| 0.022346
| 8,995
| 30
| 8,083
| 299.833333
| 0.804981
| 0.004669
| 0
| 0
| 0
| 0.142857
| 0.967097
| 0.965063
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.571429
| 0
| 0.571429
| 0.142857
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 9
|
513a4472c933fd912065b11f218e2b1d852a63af
| 1,270
|
py
|
Python
|
tests/test_version.py
|
node13h/lase
|
e10620fc2086773f9578c82af46e68a18663a696
|
[
"MIT"
] | 2
|
2019-07-23T10:00:22.000Z
|
2019-10-16T21:23:01.000Z
|
tests/test_version.py
|
node13h/lase
|
e10620fc2086773f9578c82af46e68a18663a696
|
[
"MIT"
] | null | null | null |
tests/test_version.py
|
node13h/lase
|
e10620fc2086773f9578c82af46e68a18663a696
|
[
"MIT"
] | null | null | null |
# MIT license
# Copyright 2019 Sergej Alikov <sergej.alikov@gmail.com>
from lase import version
def test_next_dev_release():
assert version.next_dev('1.2.3') == '1.2.4-SNAPSHOT'
def test_next_dev_snapshot():
assert version.next_dev('1.2.3-SNAPSHOT') == '1.2.4-SNAPSHOT'
def test_next_dev_pre_num():
assert version.next_dev('1.2.3-BETA1') == '1.2.3-BETA2-SNAPSHOT'
def test_next_dev_pre_num_snapshot():
assert version.next_dev('1.2.3-BETA1-SNAPSHOT') == '1.2.3-BETA2-SNAPSHOT'
def test_next_dev_pre_num_only():
assert version.next_dev('1.2.3-1') == '1.2.3-2-SNAPSHOT'
def test_next_dev_pre_num_oly_snapshot():
assert version.next_dev('1.2.3-1-SNAPSHOT') == '1.2.3-2-SNAPSHOT'
def test_next_dev_pre():
assert version.next_dev('1.2.3-BETA') == '1.2.4-SNAPSHOT'
def test_next_dev_pre_snapshot():
assert version.next_dev('1.2.3-BETA-SNAPSHOT') == '1.2.4-SNAPSHOT'
def test_release_snapshot():
assert version.release('1.2.3-SNAPSHOT') == '1.2.3'
def test_release_release():
assert version.release('1.2.3') == '1.2.3'
def test_release_beta_snapshot():
assert version.release('1.2.3-BETA1-SNAPSHOT') == '1.2.3-BETA1'
def test_release_beta_release():
assert version.release('1.2.3-BETA1') == '1.2.3-BETA1'
| 23.962264
| 77
| 0.69685
| 225
| 1,270
| 3.706667
| 0.133333
| 0.057554
| 0.071942
| 0.134293
| 0.818945
| 0.818945
| 0.768585
| 0.568345
| 0.223022
| 0.155875
| 0
| 0.079137
| 0.124409
| 1,270
| 52
| 78
| 24.423077
| 0.670863
| 0.051969
| 0
| 0
| 0
| 0
| 0.259784
| 0
| 0
| 0
| 0
| 0
| 0.48
| 1
| 0.48
| true
| 0
| 0.04
| 0
| 0.52
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 1
| 1
| 0
| 0
| 0
| 1
| 0
|
0
| 7
|
51493753583e2c1456aaaee143f208b2814ec2d1
| 5,821
|
py
|
Python
|
tests/test_jinja2_vars_cleanup.py
|
Prodyte/cf-scripts
|
1800432178f158d824b17faef9ed70d557a06c8d
|
[
"MIT"
] | 33
|
2018-02-28T04:05:46.000Z
|
2022-01-13T15:34:43.000Z
|
tests/test_jinja2_vars_cleanup.py
|
Prodyte/cf-scripts
|
1800432178f158d824b17faef9ed70d557a06c8d
|
[
"MIT"
] | 1,371
|
2018-02-25T00:32:37.000Z
|
2022-03-29T23:44:42.000Z
|
tests/test_jinja2_vars_cleanup.py
|
bgruening/cf-scripts
|
bca57b85be7c9b85a180210f74c90be293519371
|
[
"MIT"
] | 62
|
2018-02-25T00:28:48.000Z
|
2022-02-22T02:55:28.000Z
|
import pytest
from conda_forge_tick.migrators.jinja2_vars_cleanup import (
_should_filter,
_cleanup_raw_yaml,
)
@pytest.mark.parametrize(
"raw_yaml",
[
"{{name}}",
"{{ name}}",
"{{name }}",
"{{name|lower}}",
"{{ name|lower}}",
"{{name|lower }}",
"{{name[0]}}",
"{{ name[0]}}",
"{{name[0] }}",
"{{name.replace('-', '_')}}",
"{{ name.replace('-', '_')}}",
"{{name.replace('-', '_') }}",
"{{x.update({4:5})}}",
"{{x.update({4:5}) }}",
"{{ x.update({4:5})}}",
],
)
def test_jinja2_vars_cleanup_should_filter(raw_yaml):
assert not _should_filter(raw_yaml)
@pytest.mark.parametrize(
"raw_yaml,res",
[
("{{name}}", "{{ name }}"),
("{{ name}}", "{{ name }}"),
("{{name }}", "{{ name }}"),
("{{name|lower}}", "{{ name|lower }}"),
("{{ name|lower}}", "{{ name|lower }}"),
("{{name|lower }}", "{{ name|lower }}"),
("{{name[0]}}", "{{ name[0] }}"),
("{{ name[0]}}", "{{ name[0] }}"),
("{{name[0] }}", "{{ name[0] }}"),
("{{name.replace('-', '_')}}", "{{ name.replace('-', '_') }}"),
("{{ name.replace('-', '_')}}", "{{ name.replace('-', '_') }}"),
("{{name.replace('-', '_') }}", "{{ name.replace('-', '_') }}"),
("{{x.update({4:5})}}", "{{ x.update({4:5}) }}"),
("{{x.update({4:5}) }}", "{{ x.update({4:5}) }}"),
("{{ x.update({4:5})}}", "{{ x.update({4:5}) }}"),
],
)
def test_jinja2_vars_cleanup_raw_yaml(raw_yaml, res):
assert _cleanup_raw_yaml(raw_yaml).strip() == res
def test_jinja2_vars_cleanup_recipe():
raw_yaml = """\
{% set name = "MetPy" %}
{% set version = "0.12.0" %}
{% set sha256 = "4125fbbc2620e3702961fe012cb52bdaba5f609ec5f5458818617676044b7921" %}
package:
name: {{ name|lower }}
version: {{ version }}
source:
url: https://pypi.io/packages/source/{{name[0]}}/{{name}}/{{name}}-{{version}}.tar.gz
sha256: {{sha256}}
build:
noarch: python
script: "{{ PYTHON }} -m pip install . --no-deps -vv"
number: 0
requirements:
host:
- python >=3.6
- setuptools
- pip
- setuptools_scm
run:
- python >=3.6
- matplotlib-base >=2.1.0
- numpy >=1.13
- scipy >=1.0
- pint >=0.8
- xarray >=0.10.7
- pooch >=0.1
- traitlets >=4.3.0
- pandas >=0.22.0
- pyproj >=1.9.4
- cartopy >=0.15.0
test:
imports:
- metpy.calc
- metpy.interpolate
- metpy.io
- metpy.plots
- metpy.units
about:
home: https://github.com/Unidata/MetPy
license: BSD 3-Clause
license_family: BSD
license_file: LICENSE
summary: 'MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.'
description: |
The space MetPy aims for is GEMPAK (and maybe NCL)-like functionality,
in a way that plugs easily into the existing scientific Python ecosystem
(numpy, scipy, matplotlib). So, if you take the average GEMPAK script for
a weather map, you need to: read data, calculate a derived field, and
show on a map/skew-T. One of the benefits hoped to achieve over GEMPAK
is to make it easier to use these routines for any meteorological Python
application; this means making it easy to pull out the LCL calculation
and just use that, or re-use the Skew-T with your own data code. MetPy
also prides itself on being well-documented and well-tested, so that
on-going maintenance is easily manageable.
doc_url: https://unidata.github.io/MetPy
dev_url: https://github.com/Unidata/MetPy
extra:
recipe-maintainers:
- dopplershift
""" # noqa
clean_yml = """\
{% set name = "MetPy" %}
{% set version = "0.12.0" %}
{% set sha256 = "4125fbbc2620e3702961fe012cb52bdaba5f609ec5f5458818617676044b7921" %}
package:
name: {{ name|lower }}
version: {{ version }}
source:
url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name }}-{{ version }}.tar.gz
sha256: {{ sha256 }}
build:
noarch: python
script: "{{ PYTHON }} -m pip install . --no-deps -vv"
number: 0
requirements:
host:
- python >=3.6
- setuptools
- pip
- setuptools_scm
run:
- python >=3.6
- matplotlib-base >=2.1.0
- numpy >=1.13
- scipy >=1.0
- pint >=0.8
- xarray >=0.10.7
- pooch >=0.1
- traitlets >=4.3.0
- pandas >=0.22.0
- pyproj >=1.9.4
- cartopy >=0.15.0
test:
imports:
- metpy.calc
- metpy.interpolate
- metpy.io
- metpy.plots
- metpy.units
about:
home: https://github.com/Unidata/MetPy
license: BSD 3-Clause
license_family: BSD
license_file: LICENSE
summary: 'MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.'
description: |
The space MetPy aims for is GEMPAK (and maybe NCL)-like functionality,
in a way that plugs easily into the existing scientific Python ecosystem
(numpy, scipy, matplotlib). So, if you take the average GEMPAK script for
a weather map, you need to: read data, calculate a derived field, and
show on a map/skew-T. One of the benefits hoped to achieve over GEMPAK
is to make it easier to use these routines for any meteorological Python
application; this means making it easy to pull out the LCL calculation
and just use that, or re-use the Skew-T with your own data code. MetPy
also prides itself on being well-documented and well-tested, so that
on-going maintenance is easily manageable.
doc_url: https://unidata.github.io/MetPy
dev_url: https://github.com/Unidata/MetPy
extra:
recipe-maintainers:
- dopplershift
""" # noqa
assert not _should_filter(raw_yaml)
assert clean_yml == _cleanup_raw_yaml(raw_yaml)
| 28.816832
| 125
| 0.593197
| 755
| 5,821
| 4.490066
| 0.256954
| 0.026844
| 0.029204
| 0.023894
| 0.961652
| 0.930678
| 0.912684
| 0.892035
| 0.892035
| 0.892035
| 0
| 0.049308
| 0.230029
| 5,821
| 201
| 126
| 28.960199
| 0.70705
| 0.001546
| 0
| 0.897727
| 0
| 0.022727
| 0.817697
| 0.022723
| 0
| 0
| 0
| 0
| 0.022727
| 1
| 0.017045
| false
| 0
| 0.022727
| 0
| 0.039773
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
516acb4e29c0f68494a602aeb5c6f701586e8c53
| 105
|
py
|
Python
|
tests/unit/worker/conftest.py
|
Explorer1092/pyzeebe
|
c76dc2bfae9ea0c491c1ea2b278cffd938a39d02
|
[
"MIT"
] | 30
|
2021-04-13T15:48:20.000Z
|
2022-03-28T15:48:01.000Z
|
tests/unit/worker/conftest.py
|
Explorer1092/pyzeebe
|
c76dc2bfae9ea0c491c1ea2b278cffd938a39d02
|
[
"MIT"
] | 121
|
2021-04-02T10:21:33.000Z
|
2022-03-31T04:06:43.000Z
|
tests/unit/worker/conftest.py
|
Explorer1092/pyzeebe
|
c76dc2bfae9ea0c491c1ea2b278cffd938a39d02
|
[
"MIT"
] | 9
|
2021-05-05T10:51:26.000Z
|
2022-03-17T08:07:32.000Z
|
import asyncio
import pytest
@pytest.fixture
def queue() -> asyncio.Queue:
return asyncio.Queue()
| 11.666667
| 29
| 0.72381
| 13
| 105
| 5.846154
| 0.538462
| 0.315789
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.171429
| 105
| 8
| 30
| 13.125
| 0.873563
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| true
| 0
| 0.4
| 0.2
| 0.8
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 1
| 1
| 0
|
0
| 7
|
5adf973289477b1b9bd0e360ed25fa3779df1e43
| 8,988
|
py
|
Python
|
learning/datasets.py
|
ZJU-Robotics-Lab/CICT
|
ff873a03ab03d9113b8db96d26246939bb5da0d4
|
[
"MIT"
] | 12
|
2021-02-09T05:08:36.000Z
|
2022-02-24T07:51:30.000Z
|
learning/datasets.py
|
ZJU-Robotics-Lab/CICT
|
ff873a03ab03d9113b8db96d26246939bb5da0d4
|
[
"MIT"
] | null | null | null |
learning/datasets.py
|
ZJU-Robotics-Lab/CICT
|
ff873a03ab03d9113b8db96d26246939bb5da0d4
|
[
"MIT"
] | 6
|
2021-03-30T06:30:13.000Z
|
2022-03-01T14:15:00.000Z
|
import glob
import random
import os
import numpy as np
from torch.utils.data import Dataset
from PIL import Image
import torchvision.transforms as transforms
import torch
class Yq21Dataset(Dataset):
def __init__(self, transforms_=None, transforms2_=None,data_index=[1,2,3,4,5]):
self.transform = transforms.Compose(transforms_)
self.transform2 = transforms.Compose(transforms2_)
self.data_index = data_index
self.files_dict = {}
self.total_len = 0
for index in self.data_index:
files = glob.glob('/media/wang/DATASET/images'+str(index)+'/*.png')
self.total_len += len(files)
file_names = []
for file in files:
file_name = file.split('/')[5]
file_names.append(file_name)
file_names.sort()
self.files_dict[index] = file_names
self.corner_start = [
[250,2750,3750,4400,5050,5750,6550,7450,8150,8650,9350,10250,11150,12450],#1
[142,2492,3442,3942,4392,4942,5342,6042,6292,6942,7692,8042,8689,9539,10439,11639],#2
[286,2536,3386,3886,4336,4886,5286,5836,6086,6686,7336,7786,8336,9186,9986,11186],#3
[324,2524,3374,3924,4274,5224,5824,6124,6724,7424,7924,8424,9324,10174,11374],#4
[149,2399,3199,3699,4149,4749,5199,5649,6599,7299,7749,8299,9099,9899,11149],#5
[293,2593,3443,3943,4343,4893,5193,5793,6693,7393,7693,8343,9193,9993,11093],#6
]
self.corner_end = [
[750,3350,4200,4750,5150,6150,7150,7850,8550,8950,9550,10650,11450,12750],#1
[442,2742,3642,4192,4542,5142,5642,6242,6542,7242,7892,8339,8889,9839,10689,11939],#2
[536,2836,3636,4136,4536,5086,5486,5986,6336,6986,7586,8086,8586,9486,10236,11436],#3
[624,2824,3674,4124,4424,5424,6024,6324,7074,7724,8174,8724,9624,10424,11724],#4
[449,2599,3499,3999,4349,4899,5399,6299,6949,7549,7949,8499,9399,10199,11449],#5
[593,2843,3693,4193,4543,5143,5393,6393,6993,7593,7993,8593,9443,10243,11493],#6
]
def __getitem__(self, index):
mirror = True if random.random() > 0.5 else False
data_index = random.sample(self.data_index,1)[0]
corner_start = self.corner_start[data_index-1]
corner_end = self.corner_end[data_index-1]
try:
if random.random() > 0.5:
corner_index = random.sample([item for item in range(len(corner_start))],1)[0]
file_index = random.sample([item for item in range(corner_start[corner_index], corner_end[corner_index])],1)[0]
file_name = self.files_dict[data_index][file_index]
else:
file_name = random.sample(self.files_dict[data_index],1)[0]
except:
print('Error when get corner data')
file_name = random.sample(self.files_dict[data_index],1)[0]
#file_name = random.sample(self.files_dict[data_index],1)[0]
image_path = '/media/wang/DATASET/images'+str(data_index)+'/'+file_name
label_path = '/media/wang/DATASET/label'+str(data_index)+'/'+file_name
nav_path = '/media/wang/DATASET/nav'+str(data_index)+'/'+file_name
img = Image.open(image_path).convert("RGB")
nav = Image.open(nav_path).convert("RGB")
lable = Image.open(label_path).convert('L')
# mirror the inputs
if mirror:
img = Image.fromarray(np.array(img)[:, ::-1, :], 'RGB')
nav = Image.fromarray(np.array(nav)[:, ::-1, :], 'RGB')
lable = Image.fromarray(np.array(lable)[:, ::-1], 'L')
img = self.transform(img)
nav = self.transform(nav)
lable = self.transform2(lable)
input_img = torch.cat((img, nav), 0)
return {'A': input_img, 'B': lable}
def __len__(self):
return self.total_len
class Yq21Dataset_test(Dataset):
def __init__(self, transforms_=None, transforms2_=None,data_index=[6]):
self.transform = transforms.Compose(transforms_)
self.transform2 = transforms.Compose(transforms2_)
self.data_index = data_index
self.files_dict = {}
self.total_len = 0
for index in self.data_index:
files = glob.glob('/media/wang/DATASET/images'+str(index)+'/*.png')
self.total_len += len(files)
file_names = []
for file in files:
file_name = file.split('/')[5]
file_names.append(file_name)
file_names.sort()
self.files_dict[index] = file_names
self.corner_start = [
[250,2750,3750,4400,5050,5750,6550,7450,8150,8650,9350,10250,11150,12450],#1
[142,2492,3442,3942,4392,4942,5342,6042,6292,6942,7692,8042,8689,9539,10439,11639],#2
[286,2536,3386,3886,4336,4886,5286,5836,6086,6686,7336,7786,8336,9186,9986,11186],#3
[324,2524,3374,3924,4274,5224,5824,6124,6724,7424,7924,8424,9324,10174,11374],#4
[149,2399,3199,3699,4149,4749,5199,5649,6599,7299,7749,8299,9099,9899,11149],#5
[293,2593,3443,3943,4343,4893,5193,5793,6693,7393,7693,8343,9193,9993,11093],#6
]
self.corner_end = [
[750,3350,4200,4750,5150,6150,7150,7850,8550,8950,9550,10650,11450,12750],#1
[442,2742,3642,4192,4542,5142,5642,6242,6542,7242,7892,8339,8889,9839,10689,11939],#2
[536,2836,3636,4136,4536,5086,5486,5986,6336,6986,7586,8086,8586,9486,10236,11436],#3
[624,2824,3674,4124,4424,5424,6024,6324,7074,7724,8174,8724,9624,10424,11724],#4
[449,2599,3499,3999,4349,4899,5399,6299,6949,7549,7949,8499,9399,10199,11449],#5
[593,2843,3693,4193,4543,5143,5393,6393,6993,7593,7993,8593,9443,10243,11493],#6
]
def __getitem__(self, index):
data_index = random.sample(self.data_index,1)[0]
#file_name = random.sample(self.files_dict[data_index],1)[0]
corner_start = self.corner_start[data_index-1]
corner_end = self.corner_end[data_index-1]
try:
if random.random() > 0.5:
corner_index = random.sample([item for item in range(len(corner_start))],1)[0]
file_index = random.sample([item for item in range(corner_start[corner_index], corner_end[corner_index])],1)[0]
file_name = self.files_dict[data_index][file_index]
else:
file_name = random.sample(self.files_dict[data_index],1)[0]
except:
print('Error when get corner data')
file_name = random.sample(self.files_dict[data_index],1)[0]
image_path = '/media/wang/DATASET/images'+str(data_index)+'/'+file_name
label_path = '/media/wang/DATASET/label'+str(data_index)+'/'+file_name
nav_path = '/media/wang/DATASET/nav'+str(data_index)+'/'+file_name
img = Image.open(image_path).convert("RGB")
nav = Image.open(nav_path).convert("RGB")
lable = Image.open(label_path).convert('L')
img = self.transform(img)
nav = self.transform(nav)
lable = self.transform2(lable)
return {'A1': img, 'A2': nav, 'B': lable}
def __len__(self):
return self.total_len
class Yq21Dataset_eval(Dataset):
def __init__(self, transforms_=None, transforms2_=None,data_index=[6]):
self.transform = transforms.Compose(transforms_)
self.transform2 = transforms.Compose(transforms2_)
self.data_index = data_index
self.files_dict = {}
self.total_len = 0
for index in self.data_index:
files = glob.glob('/media/wang/DATASET/images'+str(index)+'/*.png')
self.total_len += len(files)
file_names = []
for file in files:
file_name = file.split('/')[5]
file_names.append(file_name)
file_names.sort()
self.files_dict[index] = file_names
self.cnt = 0
def __getitem__(self, index):
data_index = random.sample(self.data_index,1)[0]
file_name = self.files_dict[data_index][self.cnt]
self.cnt += 1
image_path = '/media/wang/DATASET/images'+str(data_index)+'/'+file_name
label_path = '/media/wang/DATASET/label'+str(data_index)+'/'+file_name
nav_path = '/media/wang/DATASET/nav'+str(data_index)+'/'+file_name
img = Image.open(image_path).convert("RGB")
nav = Image.open(nav_path).convert("RGB")
lable = Image.open(label_path).convert('L')
img = self.transform(img)
nav = self.transform(nav)
lable = self.transform2(lable)
return {'A1': img, 'A2': nav, 'B': lable, 'file_name':file_name}
def __len__(self):
return self.total_len
| 45.624365
| 127
| 0.60425
| 1,228
| 8,988
| 4.259772
| 0.223127
| 0.06882
| 0.037278
| 0.018926
| 0.926974
| 0.923915
| 0.923915
| 0.918562
| 0.918562
| 0.913783
| 0
| 0.234517
| 0.25089
| 8,988
| 197
| 128
| 45.624365
| 0.542403
| 0.017802
| 0
| 0.828221
| 0
| 0
| 0.048966
| 0.034083
| 0
| 0
| 0
| 0
| 0
| 1
| 0.055215
| false
| 0
| 0.04908
| 0.018405
| 0.159509
| 0.01227
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
850e7e6ebe5df5c469be65b34073d3df1c27a17c
| 10,632
|
py
|
Python
|
Packs/D2/Scripts/RegPathReputationBasicLists/RegPathReputationBasicLists.py
|
diCagri/content
|
c532c50b213e6dddb8ae6a378d6d09198e08fc9f
|
[
"MIT"
] | 799
|
2016-08-02T06:43:14.000Z
|
2022-03-31T11:10:11.000Z
|
Packs/D2/Scripts/RegPathReputationBasicLists/RegPathReputationBasicLists.py
|
diCagri/content
|
c532c50b213e6dddb8ae6a378d6d09198e08fc9f
|
[
"MIT"
] | 9,317
|
2016-08-07T19:00:51.000Z
|
2022-03-31T21:56:04.000Z
|
Packs/D2/Scripts/RegPathReputationBasicLists/RegPathReputationBasicLists.py
|
diCagri/content
|
c532c50b213e6dddb8ae6a378d6d09198e08fc9f
|
[
"MIT"
] | 1,297
|
2016-08-04T13:59:00.000Z
|
2022-03-31T23:43:06.000Z
|
import demistomock as demisto # noqa: F401
from CommonServerPython import * # noqa: F401
WHITELIST = [r'HKEY_LOCAL_MACHINE\Software\wow6432node\Microsoft\Windows\CurrentVersion\Run\vmware-tray.exe']
BLACKLIST = [r'HKEY_CURRENT_USER\Software\Locky',
r'HKEY_CURRENT_USER\Software\Microsoft\Windows\CurrentVersion\Run\Locky'] # guardrails-disable-line
SUSPICIOUS = [r"HKEY_CURRENT_USER\Software\Microsoft\Internet Explorer\UrlSearchHooks",
r"HKEY_CURRENT_USER\Software\Microsoft\Windows\CurrentVersion\Run",
r"HKEY_LOCAL_MACHINE\SOFTWARE\Classes\Htmlfile\Shell\Open\Command",
r"HKEY_LOCAL_MACHINE\SOFTWARE\Classes\Htmlfile\Shell\Open\Command\(Default)",
r"HKEY_LOCAL_MACHINE\SOFTWARE\Classes\Protocols\Filter",
r"HKEY_LOCAL_MACHINE\SOFTWARE\Classes\Protocols\Handler",
r"HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Active Setup\Installed Components",
r"HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Windows NT\CurrentVersion\Windows\Appinit_Dlls",
r"HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Windows NT\CurrentVersion\Winlogon",
r"HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Windows NT\CurrentVersion\Winlogon\Shell",
r"HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Windows NT\CurrentVersion\Winlogon\Userinit",
r"HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Windows NT\CurrentVersion\Winlogon\VmApplet",
r"HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Windows\CurrentVersion\Authentication\Credential Provider Filters",
r"HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Windows\CurrentVersion\Authentication\Credential Providers",
r"HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Windows\CurrentVersion\Authentication\PLAP Providers",
r"HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Windows\CurrentVersion\Explorer\ShellServiceObjects",
r"HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Windows\CurrentVersion\Run",
r"HKEY_LOCAL_MACHINE\SOFTWARE\Wow6432Node\Microsoft\Active Setup\Installed Components",
r"HKEY_LOCAL_MACHINE\SOFTWARE\Wow6432Node\Microsoft\Windows NT\CurrentVersion\Windows\Appinit_Dlls",
r"HKEY_LOCAL_MACHINE\SOFTWARE\Wow6432Node\Microsoft\Windows\CurrentVersion\Explorer\ShellServiceObjects",
r"HKEY_LOCAL_MACHINE\SOFTWARE\Wow6432Node\Microsoft\Windows\CurrentVersion\Run",
r"HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Control\Lsa\Authentication Packages",
r"HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Control\Lsa\Notification Packages",
r"HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Control\Lsa\OSConfig\Security Packages",
r"HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Control\Lsa\Security Packages",
r"HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Control\NetworkProvider\Order",
r"HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Control\Print\Monitors",
r"HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Control\SafeBoot",
r"HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Control\SafeBoot\AlternateShell",
r"HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Control\SecurityProviders",
r"HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Control\SecurityProviders\SecurityProviders",
r"HKEY_LOCAL_MACHINE\Software\Classes\AllFileSystemObjects\ShellEx\ContextMenuHandlers",
r"HKEY_LOCAL_MACHINE\Software\Classes\AllFileSystemObjects\ShellEx\PropertySheetHandlers",
r"HKEY_LOCAL_MACHINE\Software\Classes\CLSID\{083863F1-70DE-11d0-BD40-00A0C911CE86}\Instance",
r"HKEY_LOCAL_MACHINE\Software\Classes\CLSID\{7ED96837-96F0-4812-B211-F13C24117ED3}\Instance",
r"HKEY_LOCAL_MACHINE\Software\Classes\Directory\Background\ShellEx\ContextMenuHandlers",
r"HKEY_LOCAL_MACHINE\Software\Classes\Directory\ShellEx\ContextMenuHandlers",
r"HKEY_LOCAL_MACHINE\Software\Classes\Directory\Shellex\CopyHookHandlers",
r"HKEY_LOCAL_MACHINE\Software\Classes\Directory\Shellex\DragDropHandlers",
r"HKEY_LOCAL_MACHINE\Software\Classes\Directory\Shellex\PropertySheetHandlers",
r"HKEY_LOCAL_MACHINE\Software\Classes\Drive\ShellEx\ContextMenuHandlers",
r"HKEY_LOCAL_MACHINE\Software\Classes\Folder\ShellEx\ContextMenuHandlers",
r"HKEY_LOCAL_MACHINE\Software\Classes\Folder\ShellEx\DragDropHandlers",
r"HKEY_LOCAL_MACHINE\Software\Classes\Folder\ShellEx\PropertySheetHandlers",
r"HKEY_LOCAL_MACHINE\Software\Classes\Folder\Shellex\ColumnHandlers",
r"HKEY_LOCAL_MACHINE\Software\Microsoft\Windows NT\CurrentVersion\Drivers32",
r"HKEY_LOCAL_MACHINE\Software\Microsoft\Windows NT\CurrentVersion\Windows",
r"HKEY_LOCAL_MACHINE\Software\Microsoft\Windows NT\CurrentVersion\Windows\IconServiceLib",
r"HKEY_LOCAL_MACHINE\Software\Microsoft\Windows\CurrentVersion\Explorer\Browser Helper Objects",
r"HKEY_LOCAL_MACHINE\Software\Microsoft\Windows\CurrentVersion\Explorer\ShellIconOverlayIdentifiers",
r"HKEY_LOCAL_MACHINE\Software\Microsoft\Windows\CurrentVersion\RunOnce",
r"HKEY_LOCAL_MACHINE\Software\Wow6432Node\Classes\AllFileSystemObjects\ShellEx\ContextMenuHandlers",
r"HKEY_LOCAL_MACHINE\Software\Wow6432Node\Classes\AllFileSystemObjects\ShellEx\PropertySheetHandlers",
r"HKEY_LOCAL_MACHINE\Software\Wow6432Node\Classes\CLSID\{083863F1-70DE-11d0-BD40-00A0C911CE86}\Instance",
r"HKEY_LOCAL_MACHINE\Software\Wow6432Node\Classes\CLSID\{7ED96837-96F0-4812-B211-F13C24117ED3}\Instance",
r"HKEY_LOCAL_MACHINE\Software\Wow6432Node\Classes\Directory\Background\ShellEx\ContextMenuHandlers",
r"HKEY_LOCAL_MACHINE\Software\Wow6432Node\Classes\Directory\ShellEx\ContextMenuHandlers",
r"HKEY_LOCAL_MACHINE\Software\Wow6432Node\Classes\Directory\Shellex\CopyHookHandlers",
r"HKEY_LOCAL_MACHINE\Software\Wow6432Node\Classes\Directory\Shellex\DragDropHandlers",
r"HKEY_LOCAL_MACHINE\Software\Wow6432Node\Classes\Directory\Shellex\PropertySheetHandlers",
r"HKEY_LOCAL_MACHINE\Software\Wow6432Node\Classes\Drive\ShellEx\ContextMenuHandlers",
r"HKEY_LOCAL_MACHINE\Software\Wow6432Node\Classes\Folder\ShellEx\ContextMenuHandlers",
r"HKEY_LOCAL_MACHINE\Software\Wow6432Node\Classes\Folder\ShellEx\DragDropHandlers",
r"HKEY_LOCAL_MACHINE\Software\Wow6432Node\Classes\Folder\ShellEx\PropertySheetHandlers",
r"HKEY_LOCAL_MACHINE\Software\Wow6432Node\Classes\Folder\Shellex\ColumnHandlers",
r"HKEY_LOCAL_MACHINE\Software\Wow6432Node\Microsoft\Windows NT\CurrentVersion\Drivers32",
r"HKEY_LOCAL_MACHINE\Software\Wow6432Node\Microsoft\Windows\CurrentVersion\Explorer\Browser Helper Objects",
r"HKEY_LOCAL_MACHINE\Software\Wow6432Node\Microsoft\Windows\CurrentVersion\Explorer\ShellIconOverlayIdentifiers",
r"HKEY_LOCAL_MACHINE\System\CurrentControlSet\Control",
r"HKEY_LOCAL_MACHINE\System\CurrentControlSet\Control\ServiceControlManagerExtension",
r"HKEY_LOCAL_MACHINE\System\CurrentControlSet\Control\Session Manager\BootExecute",
r"HKEY_LOCAL_MACHINE\System\CurrentControlSet\Control\Session Manager\KnownDlls",
r"HKEY_LOCAL_MACHINE\System\CurrentControlSet\Control\Terminal Server\Wds\rdpwd",
r"HKEY_LOCAL_MACHINE\System\CurrentControlSet\Control\Terminal Server\Wds\rdpwd\StartupPrograms",
r"HKEY_LOCAL_MACHINE\System\CurrentControlSet\Services",
r"HKEY_LOCAL_MACHINE\System\CurrentControlSet\Services\WinSock2\Parameters\NameSpace_Catalog5\Catalog_Entries",
r"HKEY_LOCAL_MACHINE\System\CurrentControlSet\Services\WinSock2\Parameters\NameSpace_Catalog5\Catalog_Entries64",
r"HKEY_LOCAL_MACHINE\System\CurrentControlSet\Services\WinSock2\Parameters\Protocol_Catalog9\Catalog_Entries",
r"HKEY_LOCAL_MACHINE\System\CurrentControlSet\Services\WinSock2\Parameters\Protocol_Catalog9\Catalog_Entries64",
r"HKEY_LOCAL_MACHINE\software\microsoft\windows\currentversion\policies\explorer\run",
r"HKEY_CURRENT_USER\Software\Microsoft\Windows\CurrentVersion\RunServices",
r"HKEY_LOCAL_MACHINE\Software\Microsoft\Windows\CurrentVersion\RunServices",
r"HKEY_LOCAL_MACHINE\software\microsoft\wbem\ess\//./root/cimv2\win32clockprovider",
r"HKEY_LOCAL_MACHINE\Software\Microsoft\Windows\CurrentVersion\RunServicesOnce",
r"HKEY_CURRENT_USER\Software\Microsoft\Windows\CurrentVersion\RunServicesOnce",
r"HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Windows NT\CurrentVersion\Winlogon\Notify",
r"HKEY_CURRENT_USER\SOFTWARE\Microsoft\Windows NT\CurrentVersion\Winlogon\Shell",
r"HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Windows\CurrentVersion\ShellServiceObjectDelayLoad",
r"HKEY_LOCAL_MACHINE\Software\Microsoft\Windows\CurrentVersion\RunOnceEx",
r"HKEY_CURRENT_USER\Software\Microsoft\Windows\CurrentVersion\Run",
r"HKEY_CURRENT_USER\Software\Microsoft\Windows\CurrentVersion\RunOnce",
r"HKEY_CURRENT_USER\Software\Microsoft\Windows\CurrentVersion\Policies\Explorer\Run",
r"HKEY_CURRENT_USER\Software\Microsoft\Windows NT\CurrentVersion\Windows\load",
r"HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Windows\CurrentVersion\Explorer\SharedTaskScheduler"]
# registry keys are case insensative: https://docs.microsoft.com/en-us/windows/desktop/sysinfo/structure-of-the-registry
reg_path = NormalizeRegistryPath(demisto.args()['input'].upper())
def check_reg_in_list(path, list_to_check):
for key in list_to_check:
if path.startswith(key.upper()):
return True
return False
if check_reg_in_list(reg_path, WHITELIST):
score = 1
elif check_reg_in_list(reg_path, BLACKLIST):
score = 3
elif check_reg_in_list(reg_path, SUSPICIOUS):
score = 2
else:
score = 0
outputs = {
'Path': reg_path,
'Score': score
}
demisto.results({
'Type': entryTypes['note'],
'ContentsFormat': formats['json'],
'Contents': score,
'ReadableContentsFormat': formats['text'],
'HumanReadable': "The Registry Path reputation for: {} is: {}".format(reg_path, score),
'EntryContext': {
'RegistryKey(val.Path == obj.Path)': outputs
}
})
| 77.605839
| 127
| 0.750658
| 1,122
| 10,632
| 6.911765
| 0.174688
| 0.06254
| 0.110896
| 0.188524
| 0.868085
| 0.862798
| 0.849387
| 0.803095
| 0.727789
| 0.477756
| 0
| 0.023261
| 0.15491
| 10,632
| 136
| 128
| 78.176471
| 0.839844
| 0.015425
| 0
| 0.015748
| 0
| 0.015748
| 0.756188
| 0.71987
| 0
| 0
| 0
| 0
| 0
| 1
| 0.007874
| false
| 0
| 0.015748
| 0
| 0.03937
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
cfc4ccfc2e3163c208cc2cf4a5a937dec819c7cf
| 1,450
|
py
|
Python
|
torchnlp/data/lots.py
|
Yoark/Transformer-Attention
|
b8c62cb8618a03150ccfd73f705893d2b931b224
|
[
"Apache-2.0"
] | null | null | null |
torchnlp/data/lots.py
|
Yoark/Transformer-Attention
|
b8c62cb8618a03150ccfd73f705893d2b931b224
|
[
"Apache-2.0"
] | null | null | null |
torchnlp/data/lots.py
|
Yoark/Transformer-Attention
|
b8c62cb8618a03150ccfd73f705893d2b931b224
|
[
"Apache-2.0"
] | null | null | null |
from torchtext.data.iterator import Iterator, BucketIterator
from torchtext.data.field import RawField
import torch
# class AttnIterator(BucketIterator):
# def __init__(self, dataset, batch_size, sort_key=None, device=None,
# batch_size_fn=None, train=True,
# repeat=False, shuffle=None, sort=None,
# sort_within_batch=None, adv=False):
# super().__init__(self, dataset, batch_size, sort_key=None, device=None,
# batch_size_fn=None, train=True,
# repeat=False, shuffle=None, sort=None,
# sort_within_batch=None)
# if adv:
class AttnField(RawField):
def __init__(self, preprocessing=None, postprocessing=None, is_target=False):
super().__init__(preprocessing=preprocessing, postprocessing=postprocessing, is_target=is_target)
def process(self, batch, *args, **kwargs):
new_batch = []
for item in batch:
new_batch.append(torch.FloatTensor(item))
return new_batch
class PredField(RawField):
def __init__(self, preprocessing=None, postprocessing=None, is_target=False):
super().__init__(preprocessing=preprocessing, postprocessing=postprocessing, is_target=is_target)
def process(self, batch, *args, **kwargs):
new_batch = []
for item in batch:
new_batch.append(torch.FloatTensor(item))
return new_batch
| 42.647059
| 105
| 0.657931
| 164
| 1,450
| 5.52439
| 0.286585
| 0.05298
| 0.036424
| 0.04415
| 0.801325
| 0.801325
| 0.801325
| 0.801325
| 0.801325
| 0.801325
| 0
| 0
| 0.24069
| 1,450
| 34
| 106
| 42.647059
| 0.822888
| 0.349655
| 0
| 0.736842
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.210526
| false
| 0
| 0.157895
| 0
| 0.578947
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 9
|
cfe6b4f060b79a6157cf496860765f85600aed6a
| 1,505
|
py
|
Python
|
venv/lib/python2.7/site-packages/pychart/afm/NewCenturySchlbk_Italic.py
|
Christian-Castro/castro_odoo8
|
8247fdb20aa39e043b6fa0c4d0af509462ab3e00
|
[
"Unlicense"
] | 1
|
2019-12-19T01:53:13.000Z
|
2019-12-19T01:53:13.000Z
|
venv/lib/python2.7/site-packages/pychart/afm/NewCenturySchlbk_Italic.py
|
Christian-Castro/castro_odoo8
|
8247fdb20aa39e043b6fa0c4d0af509462ab3e00
|
[
"Unlicense"
] | null | null | null |
venv/lib/python2.7/site-packages/pychart/afm/NewCenturySchlbk_Italic.py
|
Christian-Castro/castro_odoo8
|
8247fdb20aa39e043b6fa0c4d0af509462ab3e00
|
[
"Unlicense"
] | null | null | null |
# AFM font NewCenturySchlbk-Italic (path: /usr/share/fonts/afms/adobe/pncri8a.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["NewCenturySchlbk-Italic"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 278, 333, 400, 556, 556, 833, 852, 204, 333, 333, 500, 606, 278, 333, 278, 606, 556, 556, 556, 556, 556, 556, 556, 556, 556, 556, 278, 278, 606, 606, 606, 444, 747, 704, 722, 722, 778, 722, 667, 778, 833, 407, 611, 741, 667, 944, 815, 778, 667, 778, 741, 667, 685, 815, 704, 926, 704, 685, 667, 333, 606, 333, 606, 500, 204, 574, 556, 444, 611, 444, 333, 537, 611, 333, 315, 556, 333, 889, 611, 500, 574, 556, 444, 444, 352, 611, 519, 778, 500, 500, 463, 333, 606, 333, 606, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 333, 556, 556, 167, 556, 556, 500, 556, 278, 389, 426, 333, 333, 611, 611, 500, 500, 500, 500, 278, 500, 650, 606, 204, 389, 389, 426, 1000, 1000, 500, 444, 500, 333, 333, 333, 333, 333, 333, 333, 333, 500, 333, 333, 500, 333, 333, 333, 1000, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 870, 500, 422, 500, 500, 500, 500, 667, 778, 981, 372, 500, 500, 500, 500, 500, 722, 500, 500, 500, 333, 500, 500, 333, 500, 778, 556, )
| 250.833333
| 1,302
| 0.627243
| 287
| 1,505
| 3.289199
| 0.233449
| 0.591102
| 0.800847
| 0.978814
| 0.400424
| 0.317797
| 0.317797
| 0.292373
| 0.292373
| 0.260593
| 0
| 0.619397
| 0.184718
| 1,505
| 5
| 1,303
| 301
| 0.149959
| 0.122259
| 0
| 0
| 0
| 0
| 0.017464
| 0.017464
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 10
|
3213cf88b696db805fd8a2cec042f3325740069d
| 10,208
|
py
|
Python
|
catkin_ws/py_ws/timeuse_test/noseenddistancedata_plot.py
|
ayuguchi/gazed_object_identification_robot
|
c06a49e405fa7c8a05ea6c4540b2a34b4aeca243
|
[
"MIT"
] | null | null | null |
catkin_ws/py_ws/timeuse_test/noseenddistancedata_plot.py
|
ayuguchi/gazed_object_identification_robot
|
c06a49e405fa7c8a05ea6c4540b2a34b4aeca243
|
[
"MIT"
] | null | null | null |
catkin_ws/py_ws/timeuse_test/noseenddistancedata_plot.py
|
ayuguchi/gazed_object_identification_robot
|
c06a49e405fa7c8a05ea6c4540b2a34b4aeca243
|
[
"MIT"
] | 1
|
2019-09-11T15:47:50.000Z
|
2019-09-11T15:47:50.000Z
|
#! c:/Python27/python.exe
# -*- coding: utf-8 -*-
#------------import modules
import matplotlib.pyplot as plt
import matplotlib.cm as cm
from matplotlib.ticker import *
import csv
import scipy as sp
import scipy.interpolate
from matplotlib.mlab import griddata
import matplotlib.mlab as ml
import numpy as np
from math import *
#import pyemf
import math
#import func
import random
#------------CSV open
def drange(begin, end, step):
n = begin
value = []
while n+step < end:
n += step
value.append(n)
return value
def cmtoinch(x):
y = x/2.4
return y
if __name__ == "__main__":
print ""
i=0
j=0
k=0
labelnum=0
cnt0 = []
t0 = []
cnt1 = []
t1 = []
thin = 1
#----Read data
score_face_label = []
print "reading score_face_label and t0"
ScoreFaceLabel = "datatimeuse/scorefacelabel.csv"
scorefacelabel = csv.reader(open(ScoreFaceLabel,"rb"),delimiter=',')
for row in scorefacelabel:
if i>0:
t0.append(float(row[1]))
i+=1
print "data_length with csv header:"+str(i)
print "time_length:"+str(len(t0))
#print t0
i-=1
scorefacelabel = csv.reader(open(ScoreFaceLabel,"rb"),delimiter=',')
for row in scorefacelabel:
if j==i:
labelnum = len(row)
while k<labelnum:
score_face_label.append(row[k])
k+=1
#print row
j+=1
i=0
score_face_label.pop(0)
score_face_label.pop(0)
print score_face_label
print "len(score_face_label):"+str(len(score_face_label))
i=0
j=0
k=0
print "read score_face_label and t0"
print ""
print "reading score_face_data"
ScoreFaceData = "datatimeuse/scorefacedata.csv"
scorefacedata = csv.reader(open(ScoreFaceData,"rb"),delimiter=',')
for row in scorefacedata:
i+=1
print "data_length:"+str(i)
i-=1
scorefacedata = csv.reader(open(ScoreFaceData,"rb"),delimiter=',')
for row in scorefacedata:
if j==i:
labelnum = len(row)
#print row
j+=1
print "labelnum:"+str(labelnum)
score_face_data = []
notemptycnt = 0
data_length = []
i=2
j=0
k=0
while i<labelnum:
j=0
k=0
array_data_tmp = []
notemptycnt=0
scorefacedata = csv.reader(open(ScoreFaceData,"rb"),delimiter=',')
for row in scorefacedata:
if j > 0:
if i<(labelnum-(labelnum-len(row))):
if row[0] != '':
array_data_tmp.append(row[i])
else:
array_data_tmp.append('0')
notemptycnt+=1
else:
array_data_tmp.append(0)
j+=1
#print "i="+str(i)+" "+"j="+str(j)+" len(array_data_tmp)before:"+str(len(array_data_tmp))
#print array_data_tmp
while k<j-1:
array_data_tmp[k] = int(array_data_tmp[k])
k+=1
data_length.append(k)
#print "i="+str(i)+" array_data_tmp_after"
#print array_data_tmp
score_face_data.append(array_data_tmp)
i+=1
#print score_face_data
i=0
j=0
k=0
alldatalength = 0
for x in score_face_data:
alldatalength += len(x)
print "alldatalength:"+str(alldatalength)
#print score_face_data[0][:]
print "read score_face_data"
print ""
print "ploting score_face_data"
size_x = 40
size_y = 11
r=[]
g=[]
b=[]
figurenum = 1
plt.figure(figurenum,figsize=(cmtoinch(size_x),cmtoinch(size_y)))
#plt.minorticks_on()
params = {
'font.family' :'Bitstream Vera Sans',
'axes.labelsize' :18,
#'title.size' :20,
'xtick.labelsize':18,
'ytick.labelsize':18,
'xtick.major.size':5,
'xtick.minor.size':0,
'ytick.major.size':5,
'ytick.minor.size':0,
'xtick.major.pad':10,
'xtick.major.pad':10
}
plt.rcParams.update(params)
plt.xlabel("time[s]")
plt.ylabel("score")
x_data = []
y_data = []
i=0
j=0
while i<len(t0):
x_data.append(t0[i])
i+=1
i=0
plt.axis([0,max(x_data),-1.2,1.2])
while i<len(score_face_label):
y_data = []
j=0
if (score_face_label[i]!="person") and (score_face_label[i]!="dining table"):
while j<len(t0):
y_data.append(score_face_data[i][j])
j+=1
#plt.plot(x_data,y_data, label=score_face_label[i],marker=".",markersize=1)
r.append(random.random())
g.append(random.random())
b.append(random.random())
#plt.scatter(x_data,y_data, label=score_face_label[i],marker=".",c=(r[i],g[i],b[i]))
plt.scatter(x_data,y_data, label=score_face_label[i],marker=".")
i+=1
plt.subplots_adjust(left=0.15, bottom=0.16,right=0.96, top=0.95)
plt.legend(loc="lower right")
plt.savefig("facescore/facescoredata"+".png")
figurenum +=1
i=0
j=0
k=0
print "ploted score_face_data"
print ""
score_object_label = []
print "reading score_object_label"
ScoreObjectLabel = "datatimeuse/scoreobjectlabel.csv"
scoreobjectlabel = csv.reader(open(ScoreObjectLabel,"rb"),delimiter=',')
for row in scoreobjectlabel:
i+=1
print "data_length with csv header:"+str(i)
print "time_length:"+str(len(t0))
#print t0
i-=1
scoreobjectlabel = csv.reader(open(ScoreObjectLabel,"rb"),delimiter=',')
for row in scoreobjectlabel:
if j==i:
labelnum = len(row)
while k<labelnum:
score_object_label.append(row[k])
k+=1
#print row
j+=1
i=0
score_object_label.pop(0)
score_object_label.pop(0)
print score_object_label
print "len(score_object_label):"+str(len(score_object_label))
i=0
j=0
k=0
print "read score_object_label"
print ""
print "reading score_object_data"
ScoreObjectData = "datatimeuse/scoreobjectdata.csv"
scoreobjectdata = csv.reader(open(ScoreObjectData,"rb"),delimiter=',')
for row in scoreobjectdata:
i+=1
print "data_length:"+str(i)
i-=1
scoreobjectdata = csv.reader(open(ScoreObjectData,"rb"),delimiter=',')
for row in scoreobjectdata:
if j==i:
labelnum = len(row)
#print row
j+=1
print "labelnum:"+str(labelnum)
score_object_data = []
notemptycnt = 0
data_length = []
i=2
j=0
k=0
while i<labelnum:
j=0
k=0
array_data_tmp = []
notemptycnt=0
scoreobjectdata = csv.reader(open(ScoreObjectData,"rb"),delimiter=',')
for row in scoreobjectdata:
if j > 0:
if i<(labelnum-(labelnum-len(row))):
if row[0] != '':
array_data_tmp.append(row[i])
else:
array_data_tmp.append('0')
notemptycnt+=1
else:
array_data_tmp.append(0)
j+=1
#print "i="+str(i)+" "+"j="+str(j)+" len(array_data_tmp)before:"+str(len(array_data_tmp))
#print array_data_tmp
while k<j-1:
array_data_tmp[k] = int(array_data_tmp[k])
k+=1
data_length.append(k)
#print "i="+str(i)+" array_data_tmp_after"
#print array_data_tmp
score_object_data.append(array_data_tmp)
i+=1
#print score_object_data
i=0
j=0
k=0
alldatalength = 0
for x in score_object_data:
alldatalength += len(x)
print "alldatalength:"+str(alldatalength)
#print score_object_data[0][:]
print "read score_object_data"
print ""
print "ploting score_object_data"
plt.figure(figurenum,figsize=(cmtoinch(size_x),cmtoinch(size_y)))
#plt.minorticks_on()
params = {
'font.family' :'Bitstream Vera Sans',
'axes.labelsize' :18,
#'title.size' :20,
'xtick.labelsize':18,
'ytick.labelsize':18,
'xtick.major.size':5,
'xtick.minor.size':0,
'ytick.major.size':5,
'ytick.minor.size':0,
'xtick.major.pad':10,
'xtick.major.pad':10
}
plt.rcParams.update(params)
plt.xlabel("time[s]")
plt.ylabel("score")
x_data = []
y_data = []
i=0
j=0
while i<len(t0):
x_data.append(t0[i])
i+=1
i=0
plt.axis([0,max(x_data),-1.2,1.2])
while i<len(score_object_label):
y_data = []
j=0
if (score_object_label[i]!="person") and (score_object_label[i]!="dining table"):
while j<len(t0):
y_data.append(score_object_data[i][j])
j+=1
#plt.plot(x_data,y_data, label=score_object_label[i])
plt.scatter(x_data,y_data, label=score_object_label[i],marker=".")
i+=1
plt.subplots_adjust(left=0.15, bottom=0.16,right=0.96, top=0.95)
plt.legend(loc="lower right")
plt.savefig("objectscore/objectscoredata"+".png")
figurenum +=1
print "ploted score_object_data"
print ""
print "ploting each score_face_data"
y_data = []
i=0
j=0
while i<len(score_face_label):
y_data = []
j=0
if (score_face_label[i]!="person") and (score_face_label[i]!="dining table"):
while j<len(t0):
y_data.append(score_face_data[i][j])
j+=1
plt.figure(figurenum,figsize=(cmtoinch(size_x),cmtoinch(size_y)))
params = {
'font.family' :'Bitstream Vera Sans',
'axes.labelsize' :18,
#'title.size' :20,
'xtick.labelsize':18,
'ytick.labelsize':18,
'xtick.major.size':5,
'xtick.minor.size':0,
'ytick.major.size':5,
'ytick.minor.size':0,
'xtick.major.pad':10,
'xtick.major.pad':10
}
plt.rcParams.update(params)
plt.xlabel("time[s]")
plt.ylabel("score")
plt.axis([0,max(x_data),-1.2,1.2])
plt.scatter(x_data,y_data,marker=".")
plt.subplots_adjust(left=0.15, bottom=0.16,right=0.96, top=0.95)
plt.savefig("facescore/"+"face_"+score_face_label[i]+".png")
i+=1
figurenum+=1
print "ploted each score_face_data"
print ""
print "ploting each score_object_data"
y_data = []
i=0
j=0
while i<len(score_object_label):
y_data = []
j=0
if (score_object_label[i]!="person") and (score_object_label[i]!="dining table"):
while j<len(t0):
y_data.append(score_object_data[i][j])
j+=1
plt.figure(figurenum,figsize=(cmtoinch(size_x),cmtoinch(size_y)))
params = {
'font.family' :'Bitstream Vera Sans',
'axes.labelsize' :18,
#'title.size' :20,
'xtick.labelsize':18,
'ytick.labelsize':18,
'xtick.major.size':5,
'xtick.minor.size':0,
'ytick.major.size':5,
'ytick.minor.size':0,
'xtick.major.pad':10,
'xtick.major.pad':10
}
plt.rcParams.update(params)
plt.xlabel("time[s]")
plt.ylabel("score")
plt.axis([0,max(x_data),-1.2,1.2])
plt.scatter(x_data,y_data,marker=".")
plt.subplots_adjust(left=0.15, bottom=0.16,right=0.96, top=0.95)
plt.savefig("objectscore/"+"object_"+score_object_label[i]+".png")
i+=1
figurenum+=1
print "ploted each score_object_data"
print ""
| 23.520737
| 92
| 0.638813
| 1,560
| 10,208
| 4.022436
| 0.102564
| 0.045896
| 0.045896
| 0.006375
| 0.810677
| 0.788526
| 0.755219
| 0.753466
| 0.753466
| 0.72749
| 0
| 0.032687
| 0.196806
| 10,208
| 434
| 93
| 23.520737
| 0.73265
| 0.091693
| 0
| 0.76338
| 0
| 0
| 0.191006
| 0.024756
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.033803
| null | null | 0.109859
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
5c7118c17190c2790a9d2f3a0195f598d2778727
| 31,650
|
py
|
Python
|
tests/functional/basic/isql/test_03.py
|
FirebirdSQL/firebird-qa
|
96af2def7f905a06f178e2a80a2c8be4a4b44782
|
[
"MIT"
] | 1
|
2022-02-05T11:37:13.000Z
|
2022-02-05T11:37:13.000Z
|
tests/functional/basic/isql/test_03.py
|
FirebirdSQL/firebird-qa
|
96af2def7f905a06f178e2a80a2c8be4a4b44782
|
[
"MIT"
] | 1
|
2021-09-03T11:47:00.000Z
|
2021-09-03T12:42:10.000Z
|
tests/functional/basic/isql/test_03.py
|
FirebirdSQL/firebird-qa
|
96af2def7f905a06f178e2a80a2c8be4a4b44782
|
[
"MIT"
] | 1
|
2021-06-30T14:14:16.000Z
|
2021-06-30T14:14:16.000Z
|
#coding:utf-8
#
# id: functional.basic.isql.03
# title: SHOW SYSTEM parameters
# decription: Extend ISQL SHOW SYSTEM command to accept parameters TABLES, COLLATIONS and FUNCTIONS
# tracker_id: CORE-978
# min_versions: []
# versions: 3.0, 4.0, 5.0
# qmid: functional.basic.isql.isql_14
import pytest
from firebird.qa import db_factory, isql_act, Action
# version: 3.0
# resources: None
substitutions_1 = [("'COLL-VERSION=\\d+\\.\\d+\\.\\d+\\.\\d+', ", ''), ("'COLL-VERSION=\\d+\\.\\d+', ", '')]
init_script_1 = """"""
db_1 = db_factory(sql_dialect=3, init=init_script_1)
test_script_1 = """SHOW SYSTEM TABLES;
SHOW SYSTEM COLLATIONS;
SHOW SYSTEM FUNCTIONS;
"""
act_1 = isql_act('db_1', test_script_1, substitutions=substitutions_1)
expected_stdout_1 = """
MON$ATTACHMENTS MON$CALL_STACK
MON$CONTEXT_VARIABLES MON$DATABASE
MON$IO_STATS MON$MEMORY_USAGE
MON$RECORD_STATS MON$STATEMENTS
MON$TABLE_STATS MON$TRANSACTIONS
RDB$AUTH_MAPPING RDB$BACKUP_HISTORY
RDB$CHARACTER_SETS RDB$CHECK_CONSTRAINTS
RDB$COLLATIONS RDB$DATABASE
RDB$DB_CREATORS RDB$DEPENDENCIES
RDB$EXCEPTIONS RDB$FIELDS
RDB$FIELD_DIMENSIONS RDB$FILES
RDB$FILTERS RDB$FORMATS
RDB$FUNCTIONS RDB$FUNCTION_ARGUMENTS
RDB$GENERATORS RDB$INDEX_SEGMENTS
RDB$INDICES RDB$LOG_FILES
RDB$PACKAGES RDB$PAGES
RDB$PROCEDURES RDB$PROCEDURE_PARAMETERS
RDB$REF_CONSTRAINTS RDB$RELATIONS
RDB$RELATION_CONSTRAINTS RDB$RELATION_FIELDS
RDB$ROLES RDB$SECURITY_CLASSES
RDB$TRANSACTIONS RDB$TRIGGERS
RDB$TRIGGER_MESSAGES RDB$TYPES
RDB$USER_PRIVILEGES RDB$VIEW_RELATIONS
SEC$DB_CREATORS SEC$GLOBAL_AUTH_MAPPING
SEC$USERS SEC$USER_ATTRIBUTES
ASCII, CHARACTER SET ASCII, PAD SPACE, SYSTEM
BIG_5, CHARACTER SET BIG_5, PAD SPACE, SYSTEM
BS_BA, CHARACTER SET WIN1250, PAD SPACE, SYSTEM
CP943C, CHARACTER SET CP943C, PAD SPACE, SYSTEM
CP943C_UNICODE, CHARACTER SET CP943C, PAD SPACE, SYSTEM
CS_CZ, CHARACTER SET ISO8859_2, PAD SPACE, SYSTEM
CYRL, CHARACTER SET CYRL, PAD SPACE, SYSTEM
DA_DA, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
DB_CSY, CHARACTER SET DOS852, PAD SPACE, SYSTEM
DB_DAN865, CHARACTER SET DOS865, PAD SPACE, SYSTEM
DB_DEU437, CHARACTER SET DOS437, PAD SPACE, SYSTEM
DB_DEU850, CHARACTER SET DOS850, PAD SPACE, SYSTEM
DB_ESP437, CHARACTER SET DOS437, PAD SPACE, SYSTEM
DB_ESP850, CHARACTER SET DOS850, PAD SPACE, SYSTEM
DB_FIN437, CHARACTER SET DOS437, PAD SPACE, SYSTEM
DB_FRA437, CHARACTER SET DOS437, PAD SPACE, SYSTEM
DB_FRA850, CHARACTER SET DOS850, PAD SPACE, SYSTEM
DB_FRC850, CHARACTER SET DOS850, PAD SPACE, SYSTEM
DB_FRC863, CHARACTER SET DOS863, PAD SPACE, SYSTEM
DB_ITA437, CHARACTER SET DOS437, PAD SPACE, SYSTEM
DB_ITA850, CHARACTER SET DOS850, PAD SPACE, SYSTEM
DB_NLD437, CHARACTER SET DOS437, PAD SPACE, SYSTEM
DB_NLD850, CHARACTER SET DOS850, PAD SPACE, SYSTEM
DB_NOR865, CHARACTER SET DOS865, PAD SPACE, SYSTEM
DB_PLK, CHARACTER SET DOS852, PAD SPACE, SYSTEM
DB_PTB850, CHARACTER SET DOS850, PAD SPACE, SYSTEM
DB_PTG860, CHARACTER SET DOS860, PAD SPACE, SYSTEM
DB_RUS, CHARACTER SET CYRL, PAD SPACE, SYSTEM
DB_SLO, CHARACTER SET DOS852, PAD SPACE, SYSTEM
DB_SVE437, CHARACTER SET DOS437, PAD SPACE, SYSTEM
DB_SVE850, CHARACTER SET DOS850, PAD SPACE, SYSTEM
DB_TRK, CHARACTER SET DOS857, PAD SPACE, SYSTEM
DB_UK437, CHARACTER SET DOS437, PAD SPACE, SYSTEM
DB_UK850, CHARACTER SET DOS850, PAD SPACE, SYSTEM
DB_US437, CHARACTER SET DOS437, PAD SPACE, SYSTEM
DB_US850, CHARACTER SET DOS850, PAD SPACE, SYSTEM
DE_DE, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
DOS437, CHARACTER SET DOS437, PAD SPACE, SYSTEM
DOS737, CHARACTER SET DOS737, PAD SPACE, SYSTEM
DOS775, CHARACTER SET DOS775, PAD SPACE, SYSTEM
DOS850, CHARACTER SET DOS850, PAD SPACE, SYSTEM
DOS852, CHARACTER SET DOS852, PAD SPACE, SYSTEM
DOS857, CHARACTER SET DOS857, PAD SPACE, SYSTEM
DOS858, CHARACTER SET DOS858, PAD SPACE, SYSTEM
DOS860, CHARACTER SET DOS860, PAD SPACE, SYSTEM
DOS861, CHARACTER SET DOS861, PAD SPACE, SYSTEM
DOS862, CHARACTER SET DOS862, PAD SPACE, SYSTEM
DOS863, CHARACTER SET DOS863, PAD SPACE, SYSTEM
DOS864, CHARACTER SET DOS864, PAD SPACE, SYSTEM
DOS865, CHARACTER SET DOS865, PAD SPACE, SYSTEM
DOS866, CHARACTER SET DOS866, PAD SPACE, SYSTEM
DOS869, CHARACTER SET DOS869, PAD SPACE, SYSTEM
DU_NL, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
EN_UK, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
EN_US, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
ES_ES, CHARACTER SET ISO8859_1, PAD SPACE, 'DISABLE-COMPRESSIONS=1;SPECIALS-FIRST=1', SYSTEM
ES_ES_CI_AI, CHARACTER SET ISO8859_1, PAD SPACE, CASE INSENSITIVE, ACCENT INSENSITIVE, 'DISABLE-COMPRESSIONS=1;SPECIALS-FIRST=1', SYSTEM
EUCJ_0208, CHARACTER SET EUCJ_0208, PAD SPACE, SYSTEM
FI_FI, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
FR_CA, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
FR_CA_CI_AI, CHARACTER SET ISO8859_1, FROM EXTERNAL ('FR_CA'), PAD SPACE, CASE INSENSITIVE, ACCENT INSENSITIVE, 'SPECIALS-FIRST=1', SYSTEM
FR_FR, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
FR_FR_CI_AI, CHARACTER SET ISO8859_1, FROM EXTERNAL ('FR_FR'), PAD SPACE, CASE INSENSITIVE, ACCENT INSENSITIVE, 'SPECIALS-FIRST=1', SYSTEM
GB18030, CHARACTER SET GB18030, PAD SPACE, SYSTEM
GB18030_UNICODE, CHARACTER SET GB18030, PAD SPACE, SYSTEM
GBK, CHARACTER SET GBK, PAD SPACE, SYSTEM
GBK_UNICODE, CHARACTER SET GBK, PAD SPACE, SYSTEM
GB_2312, CHARACTER SET GB_2312, PAD SPACE, SYSTEM
ISO8859_1, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
ISO8859_13, CHARACTER SET ISO8859_13, PAD SPACE, SYSTEM
ISO8859_2, CHARACTER SET ISO8859_2, PAD SPACE, SYSTEM
ISO8859_3, CHARACTER SET ISO8859_3, PAD SPACE, SYSTEM
ISO8859_4, CHARACTER SET ISO8859_4, PAD SPACE, SYSTEM
ISO8859_5, CHARACTER SET ISO8859_5, PAD SPACE, SYSTEM
ISO8859_6, CHARACTER SET ISO8859_6, PAD SPACE, SYSTEM
ISO8859_7, CHARACTER SET ISO8859_7, PAD SPACE, SYSTEM
ISO8859_8, CHARACTER SET ISO8859_8, PAD SPACE, SYSTEM
ISO8859_9, CHARACTER SET ISO8859_9, PAD SPACE, SYSTEM
ISO_HUN, CHARACTER SET ISO8859_2, PAD SPACE, SYSTEM
ISO_PLK, CHARACTER SET ISO8859_2, PAD SPACE, SYSTEM
IS_IS, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
IT_IT, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
KOI8R, CHARACTER SET KOI8R, PAD SPACE, SYSTEM
KOI8R_RU, CHARACTER SET KOI8R, PAD SPACE, SYSTEM
KOI8U, CHARACTER SET KOI8U, PAD SPACE, SYSTEM
KOI8U_UA, CHARACTER SET KOI8U, PAD SPACE, SYSTEM
KSC_5601, CHARACTER SET KSC_5601, PAD SPACE, SYSTEM
KSC_DICTIONARY, CHARACTER SET KSC_5601, PAD SPACE, SYSTEM
LT_LT, CHARACTER SET ISO8859_13, PAD SPACE, SYSTEM
NEXT, CHARACTER SET NEXT, PAD SPACE, SYSTEM
NONE, CHARACTER SET NONE, PAD SPACE, SYSTEM
NO_NO, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
NXT_DEU, CHARACTER SET NEXT, PAD SPACE, SYSTEM
NXT_ESP, CHARACTER SET NEXT, PAD SPACE, SYSTEM
NXT_FRA, CHARACTER SET NEXT, PAD SPACE, SYSTEM
NXT_ITA, CHARACTER SET NEXT, PAD SPACE, SYSTEM
NXT_US, CHARACTER SET NEXT, PAD SPACE, SYSTEM
OCTETS, CHARACTER SET OCTETS, PAD SPACE, SYSTEM
PDOX_ASCII, CHARACTER SET DOS437, PAD SPACE, SYSTEM
PDOX_CSY, CHARACTER SET DOS852, PAD SPACE, SYSTEM
PDOX_CYRL, CHARACTER SET CYRL, PAD SPACE, SYSTEM
PDOX_HUN, CHARACTER SET DOS852, PAD SPACE, SYSTEM
PDOX_INTL, CHARACTER SET DOS437, PAD SPACE, SYSTEM
PDOX_ISL, CHARACTER SET DOS861, PAD SPACE, SYSTEM
PDOX_NORDAN4, CHARACTER SET DOS865, PAD SPACE, SYSTEM
PDOX_PLK, CHARACTER SET DOS852, PAD SPACE, SYSTEM
PDOX_SLO, CHARACTER SET DOS852, PAD SPACE, SYSTEM
PDOX_SWEDFIN, CHARACTER SET DOS437, PAD SPACE, SYSTEM
PT_BR, CHARACTER SET ISO8859_1, PAD SPACE, CASE INSENSITIVE, ACCENT INSENSITIVE, SYSTEM
PT_PT, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
PXW_CSY, CHARACTER SET WIN1250, PAD SPACE, SYSTEM
PXW_CYRL, CHARACTER SET WIN1251, PAD SPACE, SYSTEM
PXW_GREEK, CHARACTER SET WIN1253, PAD SPACE, SYSTEM
PXW_HUN, CHARACTER SET WIN1250, PAD SPACE, SYSTEM
PXW_HUNDC, CHARACTER SET WIN1250, PAD SPACE, SYSTEM
PXW_INTL, CHARACTER SET WIN1252, PAD SPACE, SYSTEM
PXW_INTL850, CHARACTER SET WIN1252, PAD SPACE, SYSTEM
PXW_NORDAN4, CHARACTER SET WIN1252, PAD SPACE, SYSTEM
PXW_PLK, CHARACTER SET WIN1250, PAD SPACE, SYSTEM
PXW_SLOV, CHARACTER SET WIN1250, PAD SPACE, SYSTEM
PXW_SPAN, CHARACTER SET WIN1252, PAD SPACE, SYSTEM
PXW_SWEDFIN, CHARACTER SET WIN1252, PAD SPACE, SYSTEM
PXW_TURK, CHARACTER SET WIN1254, PAD SPACE, SYSTEM
SJIS_0208, CHARACTER SET SJIS_0208, PAD SPACE, SYSTEM
SV_SV, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
TIS620, CHARACTER SET TIS620, PAD SPACE, SYSTEM
TIS620_UNICODE, CHARACTER SET TIS620, PAD SPACE, SYSTEM
UCS_BASIC, CHARACTER SET UTF8, PAD SPACE, SYSTEM
UNICODE, CHARACTER SET UTF8, PAD SPACE, SYSTEM
UNICODE_CI, CHARACTER SET UTF8, FROM EXTERNAL ('UNICODE'), PAD SPACE, CASE INSENSITIVE, SYSTEM
UNICODE_CI_AI, CHARACTER SET UTF8, FROM EXTERNAL ('UNICODE'), PAD SPACE, CASE INSENSITIVE, ACCENT INSENSITIVE, SYSTEM
UNICODE_FSS, CHARACTER SET UNICODE_FSS, PAD SPACE, SYSTEM
UTF8, CHARACTER SET UTF8, PAD SPACE, SYSTEM
WIN1250, CHARACTER SET WIN1250, PAD SPACE, SYSTEM
WIN1251, CHARACTER SET WIN1251, PAD SPACE, SYSTEM
WIN1251_UA, CHARACTER SET WIN1251, PAD SPACE, SYSTEM
WIN1252, CHARACTER SET WIN1252, PAD SPACE, SYSTEM
WIN1253, CHARACTER SET WIN1253, PAD SPACE, SYSTEM
WIN1254, CHARACTER SET WIN1254, PAD SPACE, SYSTEM
WIN1255, CHARACTER SET WIN1255, PAD SPACE, SYSTEM
WIN1256, CHARACTER SET WIN1256, PAD SPACE, SYSTEM
WIN1257, CHARACTER SET WIN1257, PAD SPACE, SYSTEM
WIN1257_EE, CHARACTER SET WIN1257, PAD SPACE, SYSTEM
WIN1257_LT, CHARACTER SET WIN1257, PAD SPACE, SYSTEM
WIN1257_LV, CHARACTER SET WIN1257, PAD SPACE, SYSTEM
WIN1258, CHARACTER SET WIN1258, PAD SPACE, SYSTEM
WIN_CZ, CHARACTER SET WIN1250, PAD SPACE, CASE INSENSITIVE, SYSTEM
WIN_CZ_CI_AI, CHARACTER SET WIN1250, PAD SPACE, CASE INSENSITIVE, ACCENT INSENSITIVE, SYSTEM
WIN_PTBR, CHARACTER SET WIN1252, PAD SPACE, CASE INSENSITIVE, ACCENT INSENSITIVE, SYSTEM
"""
@pytest.mark.version('>=3.0,<4.0')
def test_1(act_1: Action):
act_1.expected_stdout = expected_stdout_1
act_1.execute()
assert act_1.clean_stdout == act_1.clean_expected_stdout
# version: 4.0
# resources: None
substitutions_2 = [("'COLL-VERSION=\\d+\\.\\d+\\.\\d+\\.\\d+', ", ''), ("'COLL-VERSION=\\d+\\.\\d+', ", '')]
init_script_2 = """"""
db_2 = db_factory(sql_dialect=3, init=init_script_2)
test_script_2 = """
SHOW SYSTEM TABLES;
SHOW SYSTEM COLLATIONS;
SHOW SYSTEM FUNCTIONS;
"""
act_2 = isql_act('db_2', test_script_2, substitutions=substitutions_2)
expected_stdout_2 = """
MON$ATTACHMENTS
MON$CALL_STACK
MON$CONTEXT_VARIABLES
MON$DATABASE
MON$IO_STATS
MON$MEMORY_USAGE
MON$RECORD_STATS
MON$STATEMENTS
MON$TABLE_STATS
MON$TRANSACTIONS
RDB$AUTH_MAPPING
RDB$BACKUP_HISTORY
RDB$CHARACTER_SETS
RDB$CHECK_CONSTRAINTS
RDB$COLLATIONS
RDB$CONFIG
RDB$DATABASE
RDB$DB_CREATORS
RDB$DEPENDENCIES
RDB$EXCEPTIONS
RDB$FIELDS
RDB$FIELD_DIMENSIONS
RDB$FILES
RDB$FILTERS
RDB$FORMATS
RDB$FUNCTIONS
RDB$FUNCTION_ARGUMENTS
RDB$GENERATORS
RDB$INDEX_SEGMENTS
RDB$INDICES
RDB$LOG_FILES
RDB$PACKAGES
RDB$PAGES
RDB$PROCEDURES
RDB$PROCEDURE_PARAMETERS
RDB$PUBLICATIONS
RDB$PUBLICATION_TABLES
RDB$REF_CONSTRAINTS
RDB$RELATIONS
RDB$RELATION_CONSTRAINTS
RDB$RELATION_FIELDS
RDB$ROLES
RDB$SECURITY_CLASSES
RDB$TIME_ZONES
RDB$TRANSACTIONS
RDB$TRIGGERS
RDB$TRIGGER_MESSAGES
RDB$TYPES
RDB$USER_PRIVILEGES
RDB$VIEW_RELATIONS
SEC$DB_CREATORS
SEC$GLOBAL_AUTH_MAPPING
SEC$USERS
SEC$USER_ATTRIBUTES
ASCII, CHARACTER SET ASCII, PAD SPACE, SYSTEM
BIG_5, CHARACTER SET BIG_5, PAD SPACE, SYSTEM
BS_BA, CHARACTER SET WIN1250, PAD SPACE, SYSTEM
CP943C, CHARACTER SET CP943C, PAD SPACE, SYSTEM
CP943C_UNICODE, CHARACTER SET CP943C, PAD SPACE, 'COLL-VERSION=153.88', SYSTEM
CS_CZ, CHARACTER SET ISO8859_2, PAD SPACE, SYSTEM
CYRL, CHARACTER SET CYRL, PAD SPACE, SYSTEM
DA_DA, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
DB_CSY, CHARACTER SET DOS852, PAD SPACE, SYSTEM
DB_DAN865, CHARACTER SET DOS865, PAD SPACE, SYSTEM
DB_DEU437, CHARACTER SET DOS437, PAD SPACE, SYSTEM
DB_DEU850, CHARACTER SET DOS850, PAD SPACE, SYSTEM
DB_ESP437, CHARACTER SET DOS437, PAD SPACE, SYSTEM
DB_ESP850, CHARACTER SET DOS850, PAD SPACE, SYSTEM
DB_FIN437, CHARACTER SET DOS437, PAD SPACE, SYSTEM
DB_FRA437, CHARACTER SET DOS437, PAD SPACE, SYSTEM
DB_FRA850, CHARACTER SET DOS850, PAD SPACE, SYSTEM
DB_FRC850, CHARACTER SET DOS850, PAD SPACE, SYSTEM
DB_FRC863, CHARACTER SET DOS863, PAD SPACE, SYSTEM
DB_ITA437, CHARACTER SET DOS437, PAD SPACE, SYSTEM
DB_ITA850, CHARACTER SET DOS850, PAD SPACE, SYSTEM
DB_NLD437, CHARACTER SET DOS437, PAD SPACE, SYSTEM
DB_NLD850, CHARACTER SET DOS850, PAD SPACE, SYSTEM
DB_NOR865, CHARACTER SET DOS865, PAD SPACE, SYSTEM
DB_PLK, CHARACTER SET DOS852, PAD SPACE, SYSTEM
DB_PTB850, CHARACTER SET DOS850, PAD SPACE, SYSTEM
DB_PTG860, CHARACTER SET DOS860, PAD SPACE, SYSTEM
DB_RUS, CHARACTER SET CYRL, PAD SPACE, SYSTEM
DB_SLO, CHARACTER SET DOS852, PAD SPACE, SYSTEM
DB_SVE437, CHARACTER SET DOS437, PAD SPACE, SYSTEM
DB_SVE850, CHARACTER SET DOS850, PAD SPACE, SYSTEM
DB_TRK, CHARACTER SET DOS857, PAD SPACE, SYSTEM
DB_UK437, CHARACTER SET DOS437, PAD SPACE, SYSTEM
DB_UK850, CHARACTER SET DOS850, PAD SPACE, SYSTEM
DB_US437, CHARACTER SET DOS437, PAD SPACE, SYSTEM
DB_US850, CHARACTER SET DOS850, PAD SPACE, SYSTEM
DE_DE, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
DOS437, CHARACTER SET DOS437, PAD SPACE, SYSTEM
DOS737, CHARACTER SET DOS737, PAD SPACE, SYSTEM
DOS775, CHARACTER SET DOS775, PAD SPACE, SYSTEM
DOS850, CHARACTER SET DOS850, PAD SPACE, SYSTEM
DOS852, CHARACTER SET DOS852, PAD SPACE, SYSTEM
DOS857, CHARACTER SET DOS857, PAD SPACE, SYSTEM
DOS858, CHARACTER SET DOS858, PAD SPACE, SYSTEM
DOS860, CHARACTER SET DOS860, PAD SPACE, SYSTEM
DOS861, CHARACTER SET DOS861, PAD SPACE, SYSTEM
DOS862, CHARACTER SET DOS862, PAD SPACE, SYSTEM
DOS863, CHARACTER SET DOS863, PAD SPACE, SYSTEM
DOS864, CHARACTER SET DOS864, PAD SPACE, SYSTEM
DOS865, CHARACTER SET DOS865, PAD SPACE, SYSTEM
DOS866, CHARACTER SET DOS866, PAD SPACE, SYSTEM
DOS869, CHARACTER SET DOS869, PAD SPACE, SYSTEM
DU_NL, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
EN_UK, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
EN_US, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
ES_ES, CHARACTER SET ISO8859_1, PAD SPACE, 'DISABLE-COMPRESSIONS=1;SPECIALS-FIRST=1', SYSTEM
ES_ES_CI_AI, CHARACTER SET ISO8859_1, PAD SPACE, CASE INSENSITIVE, ACCENT INSENSITIVE, 'DISABLE-COMPRESSIONS=1;SPECIALS-FIRST=1', SYSTEM
EUCJ_0208, CHARACTER SET EUCJ_0208, PAD SPACE, SYSTEM
FI_FI, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
FR_CA, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
FR_CA_CI_AI, CHARACTER SET ISO8859_1, FROM EXTERNAL ('FR_CA'), PAD SPACE, CASE INSENSITIVE, ACCENT INSENSITIVE, 'SPECIALS-FIRST=1', SYSTEM
FR_FR, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
FR_FR_CI_AI, CHARACTER SET ISO8859_1, FROM EXTERNAL ('FR_FR'), PAD SPACE, CASE INSENSITIVE, ACCENT INSENSITIVE, 'SPECIALS-FIRST=1', SYSTEM
GB18030, CHARACTER SET GB18030, PAD SPACE, SYSTEM
GB18030_UNICODE, CHARACTER SET GB18030, PAD SPACE, 'COLL-VERSION=153.88', SYSTEM
GBK, CHARACTER SET GBK, PAD SPACE, SYSTEM
GBK_UNICODE, CHARACTER SET GBK, PAD SPACE, 'COLL-VERSION=153.88', SYSTEM
GB_2312, CHARACTER SET GB_2312, PAD SPACE, SYSTEM
ISO8859_1, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
ISO8859_13, CHARACTER SET ISO8859_13, PAD SPACE, SYSTEM
ISO8859_2, CHARACTER SET ISO8859_2, PAD SPACE, SYSTEM
ISO8859_3, CHARACTER SET ISO8859_3, PAD SPACE, SYSTEM
ISO8859_4, CHARACTER SET ISO8859_4, PAD SPACE, SYSTEM
ISO8859_5, CHARACTER SET ISO8859_5, PAD SPACE, SYSTEM
ISO8859_6, CHARACTER SET ISO8859_6, PAD SPACE, SYSTEM
ISO8859_7, CHARACTER SET ISO8859_7, PAD SPACE, SYSTEM
ISO8859_8, CHARACTER SET ISO8859_8, PAD SPACE, SYSTEM
ISO8859_9, CHARACTER SET ISO8859_9, PAD SPACE, SYSTEM
ISO_HUN, CHARACTER SET ISO8859_2, PAD SPACE, SYSTEM
ISO_PLK, CHARACTER SET ISO8859_2, PAD SPACE, SYSTEM
IS_IS, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
IT_IT, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
KOI8R, CHARACTER SET KOI8R, PAD SPACE, SYSTEM
KOI8R_RU, CHARACTER SET KOI8R, PAD SPACE, SYSTEM
KOI8U, CHARACTER SET KOI8U, PAD SPACE, SYSTEM
KOI8U_UA, CHARACTER SET KOI8U, PAD SPACE, SYSTEM
KSC_5601, CHARACTER SET KSC_5601, PAD SPACE, SYSTEM
KSC_DICTIONARY, CHARACTER SET KSC_5601, PAD SPACE, SYSTEM
LT_LT, CHARACTER SET ISO8859_13, PAD SPACE, SYSTEM
NEXT, CHARACTER SET NEXT, PAD SPACE, SYSTEM
NONE, CHARACTER SET NONE, PAD SPACE, SYSTEM
NO_NO, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
NXT_DEU, CHARACTER SET NEXT, PAD SPACE, SYSTEM
NXT_ESP, CHARACTER SET NEXT, PAD SPACE, SYSTEM
NXT_FRA, CHARACTER SET NEXT, PAD SPACE, SYSTEM
NXT_ITA, CHARACTER SET NEXT, PAD SPACE, SYSTEM
NXT_US, CHARACTER SET NEXT, PAD SPACE, SYSTEM
OCTETS, CHARACTER SET OCTETS, PAD SPACE, SYSTEM
PDOX_ASCII, CHARACTER SET DOS437, PAD SPACE, SYSTEM
PDOX_CSY, CHARACTER SET DOS852, PAD SPACE, SYSTEM
PDOX_CYRL, CHARACTER SET CYRL, PAD SPACE, SYSTEM
PDOX_HUN, CHARACTER SET DOS852, PAD SPACE, SYSTEM
PDOX_INTL, CHARACTER SET DOS437, PAD SPACE, SYSTEM
PDOX_ISL, CHARACTER SET DOS861, PAD SPACE, SYSTEM
PDOX_NORDAN4, CHARACTER SET DOS865, PAD SPACE, SYSTEM
PDOX_PLK, CHARACTER SET DOS852, PAD SPACE, SYSTEM
PDOX_SLO, CHARACTER SET DOS852, PAD SPACE, SYSTEM
PDOX_SWEDFIN, CHARACTER SET DOS437, PAD SPACE, SYSTEM
PT_BR, CHARACTER SET ISO8859_1, PAD SPACE, CASE INSENSITIVE, ACCENT INSENSITIVE, SYSTEM
PT_PT, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
PXW_CSY, CHARACTER SET WIN1250, PAD SPACE, SYSTEM
PXW_CYRL, CHARACTER SET WIN1251, PAD SPACE, SYSTEM
PXW_GREEK, CHARACTER SET WIN1253, PAD SPACE, SYSTEM
PXW_HUN, CHARACTER SET WIN1250, PAD SPACE, SYSTEM
PXW_HUNDC, CHARACTER SET WIN1250, PAD SPACE, SYSTEM
PXW_INTL, CHARACTER SET WIN1252, PAD SPACE, SYSTEM
PXW_INTL850, CHARACTER SET WIN1252, PAD SPACE, SYSTEM
PXW_NORDAN4, CHARACTER SET WIN1252, PAD SPACE, SYSTEM
PXW_PLK, CHARACTER SET WIN1250, PAD SPACE, SYSTEM
PXW_SLOV, CHARACTER SET WIN1250, PAD SPACE, SYSTEM
PXW_SPAN, CHARACTER SET WIN1252, PAD SPACE, SYSTEM
PXW_SWEDFIN, CHARACTER SET WIN1252, PAD SPACE, SYSTEM
PXW_TURK, CHARACTER SET WIN1254, PAD SPACE, SYSTEM
SJIS_0208, CHARACTER SET SJIS_0208, PAD SPACE, SYSTEM
SV_SV, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
TIS620, CHARACTER SET TIS620, PAD SPACE, SYSTEM
TIS620_UNICODE, CHARACTER SET TIS620, PAD SPACE, 'COLL-VERSION=153.88', SYSTEM
UCS_BASIC, CHARACTER SET UTF8, PAD SPACE, SYSTEM
UNICODE, CHARACTER SET UTF8, PAD SPACE, 'COLL-VERSION=153.88', SYSTEM
UNICODE_CI, CHARACTER SET UTF8, FROM EXTERNAL ('UNICODE'), PAD SPACE, CASE INSENSITIVE, 'COLL-VERSION=153.88', SYSTEM
UNICODE_CI_AI, CHARACTER SET UTF8, FROM EXTERNAL ('UNICODE'), PAD SPACE, CASE INSENSITIVE, ACCENT INSENSITIVE, 'COLL-VERSION=153.88', SYSTEM
UNICODE_FSS, CHARACTER SET UNICODE_FSS, PAD SPACE, SYSTEM
UTF8, CHARACTER SET UTF8, PAD SPACE, SYSTEM
WIN1250, CHARACTER SET WIN1250, PAD SPACE, SYSTEM
WIN1251, CHARACTER SET WIN1251, PAD SPACE, SYSTEM
WIN1251_UA, CHARACTER SET WIN1251, PAD SPACE, SYSTEM
WIN1252, CHARACTER SET WIN1252, PAD SPACE, SYSTEM
WIN1253, CHARACTER SET WIN1253, PAD SPACE, SYSTEM
WIN1254, CHARACTER SET WIN1254, PAD SPACE, SYSTEM
WIN1255, CHARACTER SET WIN1255, PAD SPACE, SYSTEM
WIN1256, CHARACTER SET WIN1256, PAD SPACE, SYSTEM
WIN1257, CHARACTER SET WIN1257, PAD SPACE, SYSTEM
WIN1257_EE, CHARACTER SET WIN1257, PAD SPACE, SYSTEM
WIN1257_LT, CHARACTER SET WIN1257, PAD SPACE, SYSTEM
WIN1257_LV, CHARACTER SET WIN1257, PAD SPACE, SYSTEM
WIN1258, CHARACTER SET WIN1258, PAD SPACE, SYSTEM
WIN_CZ, CHARACTER SET WIN1250, PAD SPACE, CASE INSENSITIVE, SYSTEM
WIN_CZ_CI_AI, CHARACTER SET WIN1250, PAD SPACE, CASE INSENSITIVE, ACCENT INSENSITIVE, SYSTEM
WIN_PTBR, CHARACTER SET WIN1252, PAD SPACE, CASE INSENSITIVE, ACCENT INSENSITIVE, SYSTEM
"""
@pytest.mark.version('>=4.0,<5.0')
def test_2(act_2: Action):
act_2.expected_stdout = expected_stdout_2
act_2.execute()
assert act_2.clean_stdout == act_2.clean_expected_stdout
# version: 5.0
# resources: None
substitutions_3 = [("'COLL-VERSION=\\d+\\.\\d+\\.\\d+\\.\\d+', ", ''), ("'COLL-VERSION=\\d+\\.\\d+', ", '')]
init_script_3 = """"""
db_3 = db_factory(sql_dialect=3, init=init_script_3)
test_script_3 = """
SHOW SYSTEM TABLES;
SHOW SYSTEM COLLATIONS;
SHOW SYSTEM FUNCTIONS;
"""
act_3 = isql_act('db_3', test_script_3, substitutions=substitutions_3)
expected_stdout_3 = """
MON$ATTACHMENTS
MON$CALL_STACK
MON$CONTEXT_VARIABLES
MON$DATABASE
MON$IO_STATS
MON$MEMORY_USAGE
MON$RECORD_STATS
MON$STATEMENTS
MON$TABLE_STATS
MON$TRANSACTIONS
RDB$AUTH_MAPPING
RDB$BACKUP_HISTORY
RDB$CHARACTER_SETS
RDB$CHECK_CONSTRAINTS
RDB$COLLATIONS
RDB$CONFIG
RDB$DATABASE
RDB$DB_CREATORS
RDB$DEPENDENCIES
RDB$EXCEPTIONS
RDB$FIELDS
RDB$FIELD_DIMENSIONS
RDB$FILES
RDB$FILTERS
RDB$FORMATS
RDB$FUNCTIONS
RDB$FUNCTION_ARGUMENTS
RDB$GENERATORS
RDB$INDEX_SEGMENTS
RDB$INDICES
RDB$KEYWORDS
RDB$LOG_FILES
RDB$PACKAGES
RDB$PAGES
RDB$PROCEDURES
RDB$PROCEDURE_PARAMETERS
RDB$PUBLICATIONS
RDB$PUBLICATION_TABLES
RDB$REF_CONSTRAINTS
RDB$RELATIONS
RDB$RELATION_CONSTRAINTS
RDB$RELATION_FIELDS
RDB$ROLES
RDB$SECURITY_CLASSES
RDB$TIME_ZONES
RDB$TRANSACTIONS
RDB$TRIGGERS
RDB$TRIGGER_MESSAGES
RDB$TYPES
RDB$USER_PRIVILEGES
RDB$VIEW_RELATIONS
SEC$DB_CREATORS
SEC$GLOBAL_AUTH_MAPPING
SEC$USERS
SEC$USER_ATTRIBUTES
ASCII, CHARACTER SET ASCII, PAD SPACE, SYSTEM
BIG_5, CHARACTER SET BIG_5, PAD SPACE, SYSTEM
BS_BA, CHARACTER SET WIN1250, PAD SPACE, SYSTEM
CP943C, CHARACTER SET CP943C, PAD SPACE, SYSTEM
CP943C_UNICODE, CHARACTER SET CP943C, PAD SPACE, 'COLL-VERSION=153.88', SYSTEM
CS_CZ, CHARACTER SET ISO8859_2, PAD SPACE, SYSTEM
CYRL, CHARACTER SET CYRL, PAD SPACE, SYSTEM
DA_DA, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
DB_CSY, CHARACTER SET DOS852, PAD SPACE, SYSTEM
DB_DAN865, CHARACTER SET DOS865, PAD SPACE, SYSTEM
DB_DEU437, CHARACTER SET DOS437, PAD SPACE, SYSTEM
DB_DEU850, CHARACTER SET DOS850, PAD SPACE, SYSTEM
DB_ESP437, CHARACTER SET DOS437, PAD SPACE, SYSTEM
DB_ESP850, CHARACTER SET DOS850, PAD SPACE, SYSTEM
DB_FIN437, CHARACTER SET DOS437, PAD SPACE, SYSTEM
DB_FRA437, CHARACTER SET DOS437, PAD SPACE, SYSTEM
DB_FRA850, CHARACTER SET DOS850, PAD SPACE, SYSTEM
DB_FRC850, CHARACTER SET DOS850, PAD SPACE, SYSTEM
DB_FRC863, CHARACTER SET DOS863, PAD SPACE, SYSTEM
DB_ITA437, CHARACTER SET DOS437, PAD SPACE, SYSTEM
DB_ITA850, CHARACTER SET DOS850, PAD SPACE, SYSTEM
DB_NLD437, CHARACTER SET DOS437, PAD SPACE, SYSTEM
DB_NLD850, CHARACTER SET DOS850, PAD SPACE, SYSTEM
DB_NOR865, CHARACTER SET DOS865, PAD SPACE, SYSTEM
DB_PLK, CHARACTER SET DOS852, PAD SPACE, SYSTEM
DB_PTB850, CHARACTER SET DOS850, PAD SPACE, SYSTEM
DB_PTG860, CHARACTER SET DOS860, PAD SPACE, SYSTEM
DB_RUS, CHARACTER SET CYRL, PAD SPACE, SYSTEM
DB_SLO, CHARACTER SET DOS852, PAD SPACE, SYSTEM
DB_SVE437, CHARACTER SET DOS437, PAD SPACE, SYSTEM
DB_SVE850, CHARACTER SET DOS850, PAD SPACE, SYSTEM
DB_TRK, CHARACTER SET DOS857, PAD SPACE, SYSTEM
DB_UK437, CHARACTER SET DOS437, PAD SPACE, SYSTEM
DB_UK850, CHARACTER SET DOS850, PAD SPACE, SYSTEM
DB_US437, CHARACTER SET DOS437, PAD SPACE, SYSTEM
DB_US850, CHARACTER SET DOS850, PAD SPACE, SYSTEM
DE_DE, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
DOS437, CHARACTER SET DOS437, PAD SPACE, SYSTEM
DOS737, CHARACTER SET DOS737, PAD SPACE, SYSTEM
DOS775, CHARACTER SET DOS775, PAD SPACE, SYSTEM
DOS850, CHARACTER SET DOS850, PAD SPACE, SYSTEM
DOS852, CHARACTER SET DOS852, PAD SPACE, SYSTEM
DOS857, CHARACTER SET DOS857, PAD SPACE, SYSTEM
DOS858, CHARACTER SET DOS858, PAD SPACE, SYSTEM
DOS860, CHARACTER SET DOS860, PAD SPACE, SYSTEM
DOS861, CHARACTER SET DOS861, PAD SPACE, SYSTEM
DOS862, CHARACTER SET DOS862, PAD SPACE, SYSTEM
DOS863, CHARACTER SET DOS863, PAD SPACE, SYSTEM
DOS864, CHARACTER SET DOS864, PAD SPACE, SYSTEM
DOS865, CHARACTER SET DOS865, PAD SPACE, SYSTEM
DOS866, CHARACTER SET DOS866, PAD SPACE, SYSTEM
DOS869, CHARACTER SET DOS869, PAD SPACE, SYSTEM
DU_NL, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
EN_UK, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
EN_US, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
ES_ES, CHARACTER SET ISO8859_1, PAD SPACE, 'DISABLE-COMPRESSIONS=1;SPECIALS-FIRST=1', SYSTEM
ES_ES_CI_AI, CHARACTER SET ISO8859_1, PAD SPACE, CASE INSENSITIVE, ACCENT INSENSITIVE, 'DISABLE-COMPRESSIONS=1;SPECIALS-FIRST=1', SYSTEM
EUCJ_0208, CHARACTER SET EUCJ_0208, PAD SPACE, SYSTEM
FI_FI, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
FR_CA, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
FR_CA_CI_AI, CHARACTER SET ISO8859_1, FROM EXTERNAL ('FR_CA'), PAD SPACE, CASE INSENSITIVE, ACCENT INSENSITIVE, 'SPECIALS-FIRST=1', SYSTEM
FR_FR, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
FR_FR_CI_AI, CHARACTER SET ISO8859_1, FROM EXTERNAL ('FR_FR'), PAD SPACE, CASE INSENSITIVE, ACCENT INSENSITIVE, 'SPECIALS-FIRST=1', SYSTEM
GB18030, CHARACTER SET GB18030, PAD SPACE, SYSTEM
GB18030_UNICODE, CHARACTER SET GB18030, PAD SPACE, 'COLL-VERSION=153.88', SYSTEM
GBK, CHARACTER SET GBK, PAD SPACE, SYSTEM
GBK_UNICODE, CHARACTER SET GBK, PAD SPACE, 'COLL-VERSION=153.88', SYSTEM
GB_2312, CHARACTER SET GB_2312, PAD SPACE, SYSTEM
ISO8859_1, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
ISO8859_13, CHARACTER SET ISO8859_13, PAD SPACE, SYSTEM
ISO8859_2, CHARACTER SET ISO8859_2, PAD SPACE, SYSTEM
ISO8859_3, CHARACTER SET ISO8859_3, PAD SPACE, SYSTEM
ISO8859_4, CHARACTER SET ISO8859_4, PAD SPACE, SYSTEM
ISO8859_5, CHARACTER SET ISO8859_5, PAD SPACE, SYSTEM
ISO8859_6, CHARACTER SET ISO8859_6, PAD SPACE, SYSTEM
ISO8859_7, CHARACTER SET ISO8859_7, PAD SPACE, SYSTEM
ISO8859_8, CHARACTER SET ISO8859_8, PAD SPACE, SYSTEM
ISO8859_9, CHARACTER SET ISO8859_9, PAD SPACE, SYSTEM
ISO_HUN, CHARACTER SET ISO8859_2, PAD SPACE, SYSTEM
ISO_PLK, CHARACTER SET ISO8859_2, PAD SPACE, SYSTEM
IS_IS, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
IT_IT, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
KOI8R, CHARACTER SET KOI8R, PAD SPACE, SYSTEM
KOI8R_RU, CHARACTER SET KOI8R, PAD SPACE, SYSTEM
KOI8U, CHARACTER SET KOI8U, PAD SPACE, SYSTEM
KOI8U_UA, CHARACTER SET KOI8U, PAD SPACE, SYSTEM
KSC_5601, CHARACTER SET KSC_5601, PAD SPACE, SYSTEM
KSC_DICTIONARY, CHARACTER SET KSC_5601, PAD SPACE, SYSTEM
LT_LT, CHARACTER SET ISO8859_13, PAD SPACE, SYSTEM
NEXT, CHARACTER SET NEXT, PAD SPACE, SYSTEM
NONE, CHARACTER SET NONE, PAD SPACE, SYSTEM
NO_NO, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
NXT_DEU, CHARACTER SET NEXT, PAD SPACE, SYSTEM
NXT_ESP, CHARACTER SET NEXT, PAD SPACE, SYSTEM
NXT_FRA, CHARACTER SET NEXT, PAD SPACE, SYSTEM
NXT_ITA, CHARACTER SET NEXT, PAD SPACE, SYSTEM
NXT_US, CHARACTER SET NEXT, PAD SPACE, SYSTEM
OCTETS, CHARACTER SET OCTETS, PAD SPACE, SYSTEM
PDOX_ASCII, CHARACTER SET DOS437, PAD SPACE, SYSTEM
PDOX_CSY, CHARACTER SET DOS852, PAD SPACE, SYSTEM
PDOX_CYRL, CHARACTER SET CYRL, PAD SPACE, SYSTEM
PDOX_HUN, CHARACTER SET DOS852, PAD SPACE, SYSTEM
PDOX_INTL, CHARACTER SET DOS437, PAD SPACE, SYSTEM
PDOX_ISL, CHARACTER SET DOS861, PAD SPACE, SYSTEM
PDOX_NORDAN4, CHARACTER SET DOS865, PAD SPACE, SYSTEM
PDOX_PLK, CHARACTER SET DOS852, PAD SPACE, SYSTEM
PDOX_SLO, CHARACTER SET DOS852, PAD SPACE, SYSTEM
PDOX_SWEDFIN, CHARACTER SET DOS437, PAD SPACE, SYSTEM
PT_BR, CHARACTER SET ISO8859_1, PAD SPACE, CASE INSENSITIVE, ACCENT INSENSITIVE, SYSTEM
PT_PT, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
PXW_CSY, CHARACTER SET WIN1250, PAD SPACE, SYSTEM
PXW_CYRL, CHARACTER SET WIN1251, PAD SPACE, SYSTEM
PXW_GREEK, CHARACTER SET WIN1253, PAD SPACE, SYSTEM
PXW_HUN, CHARACTER SET WIN1250, PAD SPACE, SYSTEM
PXW_HUNDC, CHARACTER SET WIN1250, PAD SPACE, SYSTEM
PXW_INTL, CHARACTER SET WIN1252, PAD SPACE, SYSTEM
PXW_INTL850, CHARACTER SET WIN1252, PAD SPACE, SYSTEM
PXW_NORDAN4, CHARACTER SET WIN1252, PAD SPACE, SYSTEM
PXW_PLK, CHARACTER SET WIN1250, PAD SPACE, SYSTEM
PXW_SLOV, CHARACTER SET WIN1250, PAD SPACE, SYSTEM
PXW_SPAN, CHARACTER SET WIN1252, PAD SPACE, SYSTEM
PXW_SWEDFIN, CHARACTER SET WIN1252, PAD SPACE, SYSTEM
PXW_TURK, CHARACTER SET WIN1254, PAD SPACE, SYSTEM
SJIS_0208, CHARACTER SET SJIS_0208, PAD SPACE, SYSTEM
SV_SV, CHARACTER SET ISO8859_1, PAD SPACE, SYSTEM
TIS620, CHARACTER SET TIS620, PAD SPACE, SYSTEM
TIS620_UNICODE, CHARACTER SET TIS620, PAD SPACE, 'COLL-VERSION=153.88', SYSTEM
UCS_BASIC, CHARACTER SET UTF8, PAD SPACE, SYSTEM
UNICODE, CHARACTER SET UTF8, PAD SPACE, 'COLL-VERSION=153.88', SYSTEM
UNICODE_CI, CHARACTER SET UTF8, FROM EXTERNAL ('UNICODE'), PAD SPACE, CASE INSENSITIVE, 'COLL-VERSION=153.88', SYSTEM
UNICODE_CI_AI, CHARACTER SET UTF8, FROM EXTERNAL ('UNICODE'), PAD SPACE, CASE INSENSITIVE, ACCENT INSENSITIVE, 'COLL-VERSION=153.88', SYSTEM
UNICODE_FSS, CHARACTER SET UNICODE_FSS, PAD SPACE, SYSTEM
UTF8, CHARACTER SET UTF8, PAD SPACE, SYSTEM
WIN1250, CHARACTER SET WIN1250, PAD SPACE, SYSTEM
WIN1251, CHARACTER SET WIN1251, PAD SPACE, SYSTEM
WIN1251_UA, CHARACTER SET WIN1251, PAD SPACE, SYSTEM
WIN1252, CHARACTER SET WIN1252, PAD SPACE, SYSTEM
WIN1253, CHARACTER SET WIN1253, PAD SPACE, SYSTEM
WIN1254, CHARACTER SET WIN1254, PAD SPACE, SYSTEM
WIN1255, CHARACTER SET WIN1255, PAD SPACE, SYSTEM
WIN1256, CHARACTER SET WIN1256, PAD SPACE, SYSTEM
WIN1257, CHARACTER SET WIN1257, PAD SPACE, SYSTEM
WIN1257_EE, CHARACTER SET WIN1257, PAD SPACE, SYSTEM
WIN1257_LT, CHARACTER SET WIN1257, PAD SPACE, SYSTEM
WIN1257_LV, CHARACTER SET WIN1257, PAD SPACE, SYSTEM
WIN1258, CHARACTER SET WIN1258, PAD SPACE, SYSTEM
WIN_CZ, CHARACTER SET WIN1250, PAD SPACE, CASE INSENSITIVE, SYSTEM
WIN_CZ_CI_AI, CHARACTER SET WIN1250, PAD SPACE, CASE INSENSITIVE, ACCENT INSENSITIVE, SYSTEM
WIN_PTBR, CHARACTER SET WIN1252, PAD SPACE, CASE INSENSITIVE, ACCENT INSENSITIVE, SYSTEM
"""
@pytest.mark.version('>=5.0')
def test_3(act_3: Action):
act_3.expected_stdout = expected_stdout_3
act_3.execute()
assert act_3.clean_stdout == act_3.clean_expected_stdout
| 46.888889
| 144
| 0.736714
| 4,586
| 31,650
| 4.939163
| 0.058875
| 0.236811
| 0.251556
| 0.059335
| 0.958103
| 0.958103
| 0.958103
| 0.958103
| 0.9536
| 0.9536
| 0
| 0.09533
| 0.194281
| 31,650
| 674
| 145
| 46.958457
| 0.79291
| 0.012227
| 0
| 0.892063
| 0
| 0.026984
| 0.957116
| 0.03882
| 0
| 0
| 0
| 0
| 0.004762
| 1
| 0.004762
| false
| 0
| 0.003175
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| 0.007937
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| null | 1
| 1
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| 1
| 1
| 1
| 1
| 1
| 1
| 0
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0
| 10
|
5cc0980d9f02857fe40684a38ec67b079c58c2a5
| 5,675
|
py
|
Python
|
tests/test_static.py
|
metroboomin427/mapbox-cli-py
|
90faaa5cb44d053ea8982f5526851ed5e3d4626a
|
[
"MIT"
] | 128
|
2015-11-26T00:05:24.000Z
|
2022-02-22T09:22:39.000Z
|
tests/test_static.py
|
metroboomin427/mapbox-cli-py
|
90faaa5cb44d053ea8982f5526851ed5e3d4626a
|
[
"MIT"
] | 114
|
2015-11-10T17:10:24.000Z
|
2022-03-13T09:30:56.000Z
|
tests/test_static.py
|
mapbox/mbx-cli
|
7bc7d8aadf5f487702aacf72328296641f95f4c5
|
[
"MIT"
] | 36
|
2015-12-20T19:45:51.000Z
|
2021-12-31T12:34:12.000Z
|
from click.testing import CliRunner
import responses
from mapboxcli.scripts.cli import main_group
@responses.activate
def test_cli_static():
responses.add(
responses.GET,
'https://api.mapbox.com/v4/mapbox.satellite/-61.7,12.1,12/600x600.png256?access_token=bogus',
match_querystring=True,
body='.PNG...',
status=200,
content_type='image/png')
runner = CliRunner()
result = runner.invoke(
main_group,
['--access-token', 'bogus',
'staticmap',
'--lon', '-61.7',
'--lat', '12.1',
'--zoom', '12',
'mapbox.satellite',
'/dev/null'])
assert result.exit_code == 0
@responses.activate
def test_cli_static_features_stdin():
responses.add(
responses.GET,
'https://api.mapbox.com/v4/mapbox.satellite/geojson(%7B%22features%22%3A%5B%7B%22geometry%22%3A%7B%22coordinates%22%3A%5B-122.7282%2C45.5801%5D%2C%22type%22%3A%22Point%22%7D%2C%22id%22%3A%220%22%2C%22properties%22%3A%7B%7D%2C%22type%22%3A%22Feature%22%7D%2C%7B%22geometry%22%3A%7B%22coordinates%22%3A%5B-121.3153%2C44.0582%5D%2C%22type%22%3A%22Point%22%7D%2C%22id%22%3A%221%22%2C%22properties%22%3A%7B%7D%2C%22type%22%3A%22Feature%22%7D%5D%2C%22type%22%3A%22FeatureCollection%22%7D)/-61.7,12.1,12/600x600.png256?access_token=bogus',
match_querystring=True,
body='.PNG...',
status=200,
content_type='image/png')
# alternate ordering for py26
responses.add(
responses.GET,
'https://api.mapbox.com/v4/mapbox.satellite/geojson(%7B%22features%22%3A%5B%7B%22geometry%22%3A%7B%22coordinates%22%3A%5B-122.7282%2C45.580100000000002%5D%2C%22type%22%3A%22Point%22%7D%2C%22id%22%3A%220%22%2C%22properties%22%3A%7B%7D%2C%22type%22%3A%22Feature%22%7D%2C%7B%22geometry%22%3A%7B%22coordinates%22%3A%5B-121.31529999999999%2C44.058199999999999%5D%2C%22type%22%3A%22Point%22%7D%2C%22id%22%3A%221%22%2C%22properties%22%3A%7B%7D%2C%22type%22%3A%22Feature%22%7D%5D%2C%22type%22%3A%22FeatureCollection%22%7D)/-61.7,12.1,12/600x600.png256?access_token=bogus',
match_querystring=True,
body='.PNG...',
status=200,
content_type='image/png')
with open('tests/twopoints_seq.geojson', 'r') as src:
stdin = src.read()
runner = CliRunner()
result = runner.invoke(
main_group,
['--access-token', 'bogus',
'staticmap',
'--features', '-',
'--lon', '-61.7',
'--lat', '12.1',
'--zoom', '12',
'mapbox.satellite',
'/dev/null'],
input=stdin)
assert result.exit_code == 0
def test_cli_bad_size():
with open('tests/twopoints_seq.geojson', 'r') as src:
stdin = src.read()
runner = CliRunner()
result = runner.invoke(
main_group,
['--access-token', 'bogus',
'staticmap',
'--features', '-',
'--size', '2000', '2000',
'--zoom', '12',
'mapbox.satellite',
'/dev/null'],
input=stdin)
assert result.exit_code == 2
@responses.activate
def test_cli_static_unauthorized():
responses.add(
responses.GET,
'https://api.mapbox.com/v4/mapbox.satellite/-61.7,12.1,12/600x600.png256?access_token=INVALID',
match_querystring=True,
body='{"message":"Not Authorized - Invalid Token"}', status=401,
content_type='application/json')
runner = CliRunner()
result = runner.invoke(
main_group,
['--access-token', 'INVALID',
'staticmap',
'--lon', '-61.7',
'--lat', '12.1',
'--zoom', '12',
'mapbox.satellite',
'/dev/null'])
assert result.exit_code == 1
assert result.output == 'Error: {"message":"Not Authorized - Invalid Token"}\n'
@responses.activate
def test_cli_static_features_file():
responses.add(
responses.GET,
'https://api.mapbox.com/v4/mapbox.satellite/geojson(%7B%22features%22%3A%5B%7B%22geometry%22%3A%7B%22coordinates%22%3A%5B-122.7282%2C45.5801%5D%2C%22type%22%3A%22Point%22%7D%2C%22id%22%3A%220%22%2C%22properties%22%3A%7B%7D%2C%22type%22%3A%22Feature%22%7D%2C%7B%22geometry%22%3A%7B%22coordinates%22%3A%5B-121.3153%2C44.0582%5D%2C%22type%22%3A%22Point%22%7D%2C%22id%22%3A%221%22%2C%22properties%22%3A%7B%7D%2C%22type%22%3A%22Feature%22%7D%5D%2C%22type%22%3A%22FeatureCollection%22%7D)/-61.7,12.1,12/600x600.png256?access_token=bogus',
match_querystring=True,
body='.PNG...',
status=200,
content_type='image/png')
# alternate ordering for py26
responses.add(
responses.GET,
'https://api.mapbox.com/v4/mapbox.satellite/geojson(%7B%22features%22%3A%5B%7B%22geometry%22%3A%7B%22coordinates%22%3A%5B-122.7282%2C45.580100000000002%5D%2C%22type%22%3A%22Point%22%7D%2C%22id%22%3A%220%22%2C%22properties%22%3A%7B%7D%2C%22type%22%3A%22Feature%22%7D%2C%7B%22geometry%22%3A%7B%22coordinates%22%3A%5B-121.31529999999999%2C44.058199999999999%5D%2C%22type%22%3A%22Point%22%7D%2C%22id%22%3A%221%22%2C%22properties%22%3A%7B%7D%2C%22type%22%3A%22Feature%22%7D%5D%2C%22type%22%3A%22FeatureCollection%22%7D)/-61.7,12.1,12/600x600.png256?access_token=bogus',
match_querystring=True,
body='.PNG...',
status=200,
content_type='image/png')
runner = CliRunner()
result = runner.invoke(
main_group,
['--access-token', 'bogus',
'staticmap',
'--features', 'tests/twopoints_seq.geojson',
'--lon', '-61.7',
'--lat', '12.1',
'--zoom', '12',
'mapbox.satellite',
'/dev/null'])
assert result.exit_code == 0
| 38.344595
| 572
| 0.634714
| 814
| 5,675
| 4.366093
| 0.143735
| 0.063028
| 0.056275
| 0.06753
| 0.927687
| 0.909398
| 0.890827
| 0.867755
| 0.867755
| 0.852842
| 0
| 0.188106
| 0.182203
| 5,675
| 147
| 573
| 38.605442
| 0.577677
| 0.009692
| 0
| 0.846154
| 0
| 0.051282
| 0.546021
| 0.014421
| 0
| 0
| 0
| 0
| 0.051282
| 1
| 0.042735
| false
| 0
| 0.025641
| 0
| 0.068376
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
5cc3b50930b2117ee7256dc4a359047f0c04de80
| 21,071
|
py
|
Python
|
mysite/patterns/32.py
|
BioinfoNet/prepub
|
e19c48cabf8bd22736dcef9308a5e196cfd8119a
|
[
"MIT"
] | 19
|
2016-06-17T23:36:27.000Z
|
2020-01-13T16:41:55.000Z
|
mysite/patterns/32.py
|
BioinfoNet/prepub
|
e19c48cabf8bd22736dcef9308a5e196cfd8119a
|
[
"MIT"
] | 13
|
2016-06-06T12:57:05.000Z
|
2019-02-05T02:21:00.000Z
|
patterns/32.py
|
OmnesRes/GRIMMER
|
173c99ebdb6a9edb1242d24a791d0c5d778ff643
|
[
"MIT"
] | 7
|
2017-03-28T18:12:22.000Z
|
2021-06-16T09:32:59.000Z
|
pattern_zero=[0.0, 0.0302734375, 0.05859375, 0.0625, 0.0849609375, 0.0927734375, 0.109375, 0.12109375, 0.125, 0.1318359375, 0.1474609375, 0.15234375, 0.1552734375, 0.1708984375, 0.171875, 0.18359375, 0.1875, 0.1943359375, 0.2021484375, 0.2099609375, 0.21484375, 0.2177734375, 0.2255859375, 0.2333984375, 0.234375, 0.2412109375, 0.24609375, 0.2490234375, 0.25, 0.2568359375, 0.2646484375, 0.2724609375, 0.27734375, 0.2802734375, 0.2880859375, 0.2958984375, 0.296875, 0.3037109375, 0.30859375, 0.3115234375, 0.3125, 0.3193359375, 0.3271484375, 0.3349609375, 0.33984375, 0.3427734375, 0.3505859375, 0.3583984375, 0.359375, 0.3662109375, 0.37109375, 0.3740234375, 0.375, 0.3818359375, 0.3896484375, 0.3974609375, 0.40234375, 0.4052734375, 0.4130859375, 0.4208984375, 0.421875, 0.4287109375, 0.43359375, 0.4365234375, 0.4375, 0.4443359375, 0.4521484375, 0.4599609375, 0.46484375, 0.4677734375, 0.4755859375, 0.4833984375, 0.484375, 0.4912109375, 0.49609375, 0.4990234375, 0.5, 0.5068359375, 0.5146484375, 0.5224609375, 0.52734375, 0.5302734375, 0.5380859375, 0.5458984375, 0.546875, 0.5537109375, 0.55859375, 0.5615234375, 0.5625, 0.5693359375, 0.5771484375, 0.5849609375, 0.58984375, 0.5927734375, 0.6005859375, 0.6083984375, 0.609375, 0.6162109375, 0.62109375, 0.6240234375, 0.625, 0.6318359375, 0.6396484375, 0.6474609375, 0.65234375, 0.6552734375, 0.6630859375, 0.6708984375, 0.671875, 0.6787109375, 0.68359375, 0.6865234375, 0.6875, 0.6943359375, 0.7021484375, 0.7099609375, 0.71484375, 0.7177734375, 0.7255859375, 0.7333984375, 0.734375, 0.7412109375, 0.74609375, 0.7490234375, 0.75, 0.7568359375, 0.7646484375, 0.7724609375, 0.77734375, 0.7802734375, 0.7880859375, 0.7958984375, 0.796875, 0.8037109375, 0.80859375, 0.8115234375, 0.8125, 0.8193359375, 0.8271484375, 0.8349609375, 0.83984375, 0.8427734375, 0.8505859375, 0.8583984375, 0.859375, 0.8662109375, 0.87109375, 0.8740234375, 0.875, 0.8818359375, 0.8896484375, 0.8974609375, 0.90234375, 0.9052734375, 0.9130859375, 0.9208984375, 0.921875, 0.9287109375, 0.93359375, 0.9365234375, 0.9375, 0.9443359375, 0.9521484375, 0.9599609375, 0.96484375, 0.9677734375, 0.9755859375, 0.9833984375, 0.984375, 0.9912109375, 0.99609375, 0.9990234375]
pattern_odd=[0.0, 0.0068359375, 0.0146484375, 0.0224609375, 0.02734375, 0.0302734375, 0.0380859375, 0.0458984375, 0.046875, 0.0537109375, 0.05859375, 0.0615234375, 0.0625, 0.0693359375, 0.0771484375, 0.0849609375, 0.08984375, 0.0927734375, 0.1005859375, 0.1083984375, 0.109375, 0.1162109375, 0.12109375, 0.1240234375, 0.125, 0.1318359375, 0.1396484375, 0.1474609375, 0.15234375, 0.1552734375, 0.1630859375, 0.1708984375, 0.171875, 0.1787109375, 0.18359375, 0.1865234375, 0.1875, 0.1943359375, 0.2021484375, 0.2099609375, 0.21484375, 0.2177734375, 0.2255859375, 0.2333984375, 0.234375, 0.2412109375, 0.24609375, 0.2490234375, 0.25, 0.2568359375, 0.2646484375, 0.2724609375, 0.27734375, 0.2802734375, 0.2880859375, 0.2958984375, 0.296875, 0.3037109375, 0.30859375, 0.3115234375, 0.3125, 0.3193359375, 0.3271484375, 0.3349609375, 0.33984375, 0.3427734375, 0.3505859375, 0.3583984375, 0.359375, 0.3662109375, 0.37109375, 0.3740234375, 0.375, 0.3818359375, 0.3896484375, 0.3974609375, 0.40234375, 0.4052734375, 0.4130859375, 0.4208984375, 0.421875, 0.4287109375, 0.43359375, 0.4365234375, 0.4375, 0.4443359375, 0.4521484375, 0.4599609375, 0.46484375, 0.4677734375, 0.4755859375, 0.4833984375, 0.484375, 0.4912109375, 0.49609375, 0.4990234375, 0.5, 0.5068359375, 0.5146484375, 0.5224609375, 0.52734375, 0.5302734375, 0.5380859375, 0.5458984375, 0.546875, 0.5537109375, 0.55859375, 0.5615234375, 0.5625, 0.5693359375, 0.5771484375, 0.5849609375, 0.58984375, 0.5927734375, 0.6005859375, 0.6083984375, 0.609375, 0.6162109375, 0.62109375, 0.6240234375, 0.625, 0.6318359375, 0.6396484375, 0.6474609375, 0.65234375, 0.6552734375, 0.6630859375, 0.6708984375, 0.671875, 0.6787109375, 0.68359375, 0.6865234375, 0.6875, 0.6943359375, 0.7021484375, 0.7099609375, 0.71484375, 0.7177734375, 0.7255859375, 0.7333984375, 0.734375, 0.7412109375, 0.74609375, 0.7490234375, 0.75, 0.7568359375, 0.7646484375, 0.7724609375, 0.77734375, 0.7802734375, 0.7880859375, 0.7958984375, 0.796875, 0.8037109375, 0.80859375, 0.8115234375, 0.8125, 0.8193359375, 0.8271484375, 0.8349609375, 0.83984375, 0.8427734375, 0.8505859375, 0.8583984375, 0.859375, 0.8662109375, 0.87109375, 0.8740234375, 0.875, 0.8818359375, 0.8896484375, 0.8974609375, 0.90234375, 0.9052734375, 0.9130859375, 0.9208984375, 0.921875, 0.9287109375, 0.93359375, 0.9365234375, 0.9375, 0.9443359375, 0.9521484375, 0.9599609375, 0.96484375, 0.9677734375, 0.9755859375, 0.9833984375, 0.984375, 0.9912109375, 0.99609375, 0.9990234375]
pattern_even=[0.0, 0.0068359375, 0.0146484375, 0.0224609375, 0.02734375, 0.0302734375, 0.0380859375, 0.0458984375, 0.046875, 0.0537109375, 0.05859375, 0.0615234375, 0.0625, 0.0693359375, 0.0771484375, 0.0849609375, 0.08984375, 0.0927734375, 0.1005859375, 0.1083984375, 0.109375, 0.1162109375, 0.12109375, 0.1240234375, 0.125, 0.1318359375, 0.1396484375, 0.1474609375, 0.15234375, 0.1552734375, 0.1630859375, 0.1708984375, 0.171875, 0.1787109375, 0.18359375, 0.1865234375, 0.1875, 0.1943359375, 0.2021484375, 0.2099609375, 0.21484375, 0.2177734375, 0.2255859375, 0.2333984375, 0.234375, 0.2412109375, 0.24609375, 0.2490234375, 0.25, 0.2568359375, 0.2646484375, 0.2724609375, 0.27734375, 0.2802734375, 0.2880859375, 0.2958984375, 0.296875, 0.3037109375, 0.30859375, 0.3115234375, 0.3125, 0.3193359375, 0.3271484375, 0.3349609375, 0.33984375, 0.3427734375, 0.3505859375, 0.3583984375, 0.359375, 0.3662109375, 0.37109375, 0.3740234375, 0.375, 0.3818359375, 0.3896484375, 0.3974609375, 0.40234375, 0.4052734375, 0.4130859375, 0.4208984375, 0.421875, 0.4287109375, 0.43359375, 0.4365234375, 0.4375, 0.4443359375, 0.4521484375, 0.4599609375, 0.46484375, 0.4677734375, 0.4755859375, 0.4833984375, 0.484375, 0.4912109375, 0.49609375, 0.4990234375, 0.5, 0.5068359375, 0.5146484375, 0.5224609375, 0.52734375, 0.5302734375, 0.5380859375, 0.5458984375, 0.546875, 0.5537109375, 0.55859375, 0.5615234375, 0.5625, 0.5693359375, 0.5771484375, 0.5849609375, 0.58984375, 0.5927734375, 0.6005859375, 0.6083984375, 0.609375, 0.6162109375, 0.62109375, 0.6240234375, 0.625, 0.6318359375, 0.6396484375, 0.6474609375, 0.65234375, 0.6552734375, 0.6630859375, 0.6708984375, 0.671875, 0.6787109375, 0.68359375, 0.6865234375, 0.6875, 0.6943359375, 0.7021484375, 0.7099609375, 0.71484375, 0.7177734375, 0.7255859375, 0.7333984375, 0.734375, 0.7412109375, 0.74609375, 0.7490234375, 0.75, 0.7568359375, 0.7646484375, 0.7724609375, 0.77734375, 0.7802734375, 0.7880859375, 0.7958984375, 0.796875, 0.8037109375, 0.80859375, 0.8115234375, 0.8125, 0.8193359375, 0.8271484375, 0.8349609375, 0.83984375, 0.8427734375, 0.8505859375, 0.8583984375, 0.859375, 0.8662109375, 0.87109375, 0.8740234375, 0.875, 0.8818359375, 0.8896484375, 0.8974609375, 0.90234375, 0.9052734375, 0.9130859375, 0.9208984375, 0.921875, 0.9287109375, 0.93359375, 0.9365234375, 0.9375, 0.9443359375, 0.9521484375, 0.9599609375, 0.96484375, 0.9677734375, 0.9755859375, 0.9833984375, 0.984375, 0.9912109375, 0.99609375, 0.9990234375]
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| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 11
|
7a31e8154ca60431964d8ba0eecbfe12a887b129
| 1,232
|
py
|
Python
|
CONTOH_CONTOH/aoc2021/hari6.ms.py
|
jiaminglimjm/JawiPython
|
affbb34c7876498a7cc3eef2ef87d59f7cccd8b1
|
[
"0BSD"
] | null | null | null |
CONTOH_CONTOH/aoc2021/hari6.ms.py
|
jiaminglimjm/JawiPython
|
affbb34c7876498a7cc3eef2ef87d59f7cccd8b1
|
[
"0BSD"
] | null | null | null |
CONTOH_CONTOH/aoc2021/hari6.ms.py
|
jiaminglimjm/JawiPython
|
affbb34c7876498a7cc3eef2ef87d59f7cccd8b1
|
[
"0BSD"
] | null | null | null |
اينڤوت = [1,2,1,1,1,1,1,1,2,1,3,1,1,1,1,3,1,1,1,5,1,1,1,4,5,1,1,1,3,4,1,1,1,1,1,1,1,5,1, 4,1,1,1,1,1,1,1,5,1,3,1,3,1,1,1,5,1,1,1,1,1,5,4,1,2,4,4,1, 1,1,1,1,5,1,1,1,1,1,5,4,3,1,1,1,1,1,1,1,5,1,3,1,4,1,1,3,1, 1,1,1,1,1,2,1,4,1,3,1,1,1,1,1,5,1,1,1,2,1,1,1,1,2,1,1,1,1, 4,1,3,1,1,1,1,1,1,1,1,5,1,1,4,1,1,1,1,1,3,1,3,3,1,1,1,2,1, 1,1,1,1,1,1,1,1,5,1,1,1,1,5,1,1,1,1,2,1,1,1,4,1,1,1,2,3,1, 1,1,1,1,1,1,1,2,1,1,1,2,3,1,2,1,1,5,4,1,1,2,1,1,1,3,1,4,1, 1,1,1,3,1,2,5,1,1,1,5,1,1,1,1,1,4,1,1,4,1,1,1,2,2,2,2,4,3, 1,1,3,1,1,1,1,1,1,2,2,1,1,4,2,1,4,1,1,1,1,1,5,1,1,4,2,1,1, 2,5,4,2,1,1,1,1,4,2,3,5,2,1,5,1,3,1,1,5,1,1,4,5,1,1,1,1,4
]
#اينڤوت = [3,4,3,1,2]
'''
اونتوق شي دالم اينڤوت:
چيتق(شي ,end=' ')
'''
'''
اونتوق _ دالم جولت(80):
چيتق(_ ,len(اينڤوت))
اونتوق ي ,ن دالم مڠڠکاکن(اينڤوت):
جک ن == 0:
اينڤوت[ي] = 7
اينڤوت.append(9)
اينڤوت[ي] -= 1
چيتق(len(اينڤوت))
'''
ڤڠيرا = {شي :اينڤوت.count(شي) اونتوق شي دالم جولت(0 ,9)}
اونتوق _ دالم جولت(256):
چيتق(_ ,(ڤڠيرا))
کوسوڠ = ڤڠيرا[0]
اونتوق شي دالم جولت(0 ,8):
ڤڠيرا[شي] = ڤڠيرا[شي+1]
ڤڠيرا[6] += کوسوڠ
ڤڠيرا[8] = کوسوڠ
چيتق(ڤڠيرا,تمبه(ڤڠيرا.values()))
# 390923
# 1749945484935
#
| 20.196721
| 618
| 0.504058
| 386
| 1,232
| 1.598446
| 0.082902
| 0.460292
| 0.461912
| 0.382496
| 0.508914
| 0.423015
| 0.366288
| 0.317666
| 0.264182
| 0.163695
| 0
| 0.331712
| 0.165584
| 1,232
| 60
| 619
| 20.533333
| 0.268482
| 0.033279
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0
| 0
| 0
| 1
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
7a388c6ba0d621a30a13bf50d7631ba3944278bb
| 3,679
|
py
|
Python
|
First Project/Exercise1/iterations_comparison.py
|
TasosOperatingInBinary/Numerical-Analysis-Projects
|
61a8014f2b853a646145cea5a4d3655e100be854
|
[
"MIT"
] | null | null | null |
First Project/Exercise1/iterations_comparison.py
|
TasosOperatingInBinary/Numerical-Analysis-Projects
|
61a8014f2b853a646145cea5a4d3655e100be854
|
[
"MIT"
] | null | null | null |
First Project/Exercise1/iterations_comparison.py
|
TasosOperatingInBinary/Numerical-Analysis-Projects
|
61a8014f2b853a646145cea5a4d3655e100be854
|
[
"MIT"
] | null | null | null |
import numpy as np
from Exercise1.bisection import bisection
from Exercise1.newton_raphson import newton_raphson
from Exercise1.secant import secant
"""
This file is used for comparison between the three method Bisection,Newton-Raphson and secant for finding roots
of a function.
"""
def find_x0(a, b, g, g_second_der):
for i in np.arange(a, b, 0.01):
if g(i) * g_second_der(i) > 0:
return i
print("could not find x0")
return (a + b) / 2
def bisection_iterations(g):
iterations_per_interval = []
root_per_interval = []
num_of_calls = 0
for i in np.arange(1.5, 3.5, 0.008): # for first root -> np.arange(-2.0, -0.1, 0.008):
# for third root -> np.arange(0.1, 2.0, 0.008)
# for second root -> np.arange(-1.0, 1.0, 0.008)
if num_of_calls >= 10000:
break
for j in np.arange(3.5, i, -0.008): # for first root -> np.arange(-0.1, i, -0.008)
# for third root -> np.arange(2.0, i, -0.008)
# for second root -> np.arange(1.0, i, -0.008)
if num_of_calls >= 10000:
break
# return root_per_interval, iterations_per_interval, num_of_calls
if g(i) * g(j) < 0:
current_root, current_iterations = bisection(g, i, j)
num_of_calls = num_of_calls + 1
root_per_interval.append(current_root)
iterations_per_interval.append(current_iterations)
while np.nan in root_per_interval: root_per_interval.remove(np.nan)
while -1 in iterations_per_interval: iterations_per_interval.remove(-1)
return root_per_interval, iterations_per_interval, num_of_calls
def newton_iterations(g, gprime, g_second_der):
iterations_per_interval = []
root_per_interval = []
num_of_calls = 0
for i in np.arange(1.251, 2, 0.003): # for first root -> np.arange(-2.0, -0.9684, 0.003)
if num_of_calls >= 10000:
break
for j in np.arange(2, i, -0.003): # for first root -> np.arange(-0.9684, i, -0.003)
if num_of_calls >= 10000:
break
# return root_per_interval, iterations_per_interval, num_of_calls
if g(i) * g(j) < 0:
current_root, current_iterations = newton_raphson(g, gprime, find_x0(i, j, g, g_second_der))
num_of_calls += 1
root_per_interval.append(current_root)
iterations_per_interval.append(current_iterations)
while np.nan in root_per_interval: root_per_interval.remove(np.nan)
while -1 in iterations_per_interval: iterations_per_interval.remove(-1)
return root_per_interval, iterations_per_interval, num_of_calls
def secant_iterations(g):
iterations_per_interval = []
root_per_interval = []
num_of_calls = 0
for i in np.arange(1.251, 2, 0.003): # for first root -> np.arange(-2.0, -0.9684, 0.003)
if num_of_calls >= 10000:
break
for j in np.arange(2, i, -0.003): # for first root -> np.arange(-0.9684, i, -0.003)
if num_of_calls >= 10000:
break
# return root_per_interval, iterations_per_interval, num_of_calls
if g(i) * g(j) < 0:
current_root, current_iterations = secant(g, i, j)
num_of_calls += 1
root_per_interval.append(current_root)
iterations_per_interval.append(current_iterations)
while np.nan in root_per_interval: root_per_interval.remove(np.nan)
while -1 in iterations_per_interval: iterations_per_interval.remove(-1)
return root_per_interval, iterations_per_interval, num_of_calls
| 40.877778
| 115
| 0.62816
| 558
| 3,679
| 3.894265
| 0.121864
| 0.182237
| 0.087437
| 0.066268
| 0.802117
| 0.793373
| 0.78555
| 0.750575
| 0.736309
| 0.711459
| 0
| 0.06689
| 0.268551
| 3,679
| 89
| 116
| 41.337079
| 0.740617
| 0.179668
| 0
| 0.703125
| 0
| 0
| 0.00594
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.0625
| false
| 0
| 0.0625
| 0
| 0.203125
| 0.015625
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
8ff31361a8347e3a8656c38624d3e17587bef4c2
| 2,432
|
py
|
Python
|
tests/test_url_utils.py
|
samuelkhtu/aws_chalice_template
|
9ce7a5bf434ceadc221fb13a59454bbedc8cc709
|
[
"Apache-2.0"
] | 2
|
2021-03-20T20:19:17.000Z
|
2021-11-18T03:44:50.000Z
|
tests/test_url_utils.py
|
samuelkhtu/aws_chalice_template
|
9ce7a5bf434ceadc221fb13a59454bbedc8cc709
|
[
"Apache-2.0"
] | 1
|
2021-06-28T08:35:58.000Z
|
2021-06-28T08:40:16.000Z
|
tests/test_url_utils.py
|
samuelkhtu/aws_chalice_template
|
9ce7a5bf434ceadc221fb13a59454bbedc8cc709
|
[
"Apache-2.0"
] | null | null | null |
from chalice.app import Request
from chalicelib.utils.url_utils import build_api_endpoint
from urllib import parse
MOCK_STAGE = "test"
MOCK_DOMAIN = "fake_domain"
MOCK_API_ID = "fake_api_id"
def test_url_build():
mock_rq = Request(
{
"multiValueQueryStringParameters": None,
"headers": {"a": "b", "c": "d"},
"pathParameters": None,
"body": None,
"stageVariables": None,
"requestContext": {
"resourcePath": None,
"httpMethod": None,
"stage": MOCK_STAGE,
"domainName": MOCK_DOMAIN,
"apiId": MOCK_API_ID,
},
}
)
request_dict = mock_rq.to_dict()
# print(request_dict.keys())
context = request_dict["context"]
# print(context)
stage = context["stage"]
assert stage == MOCK_STAGE
# print(stage)
api_domain = context["domainName"]
# print(api_domain)
assert api_domain == MOCK_DOMAIN
api_id = context["apiId"]
# print(api_id)
assert api_id == MOCK_API_ID
# build url
url = build_api_endpoint(mock_rq, "/")
# Is the url valid?
result = parse.urlparse(url)
# print(result)
assert result is not None
def test_url_build_with_param():
mock_rq = Request(
{
"multiValueQueryStringParameters": None,
"headers": {"a": "b", "c": "d"},
"pathParameters": None,
"body": None,
"stageVariables": None,
"requestContext": {
"resourcePath": None,
"httpMethod": None,
"stage": MOCK_STAGE,
"domainName": MOCK_DOMAIN,
"apiId": MOCK_API_ID,
},
}
)
request_dict = mock_rq.to_dict()
# print(request_dict.keys())
context = request_dict["context"]
# print(context)
stage = context["stage"]
assert stage == MOCK_STAGE
# print(stage)
api_domain = context["domainName"]
# print(api_domain)
assert api_domain == MOCK_DOMAIN
api_id = context["apiId"]
# print(api_id)
assert api_id == MOCK_API_ID
# build url
url = build_api_endpoint(mock_rq, "/", {"q1": "v1", "q2": "v2"})
# Is the url valid?
result = parse.urlparse(url)
# print(f"{result.scheme}//{result.netloc}{result.path}{result.query}{result.params}")
assert result is not None
| 28.27907
| 90
| 0.566201
| 263
| 2,432
| 5
| 0.228137
| 0.045627
| 0.034221
| 0.022814
| 0.803042
| 0.771103
| 0.771103
| 0.771103
| 0.771103
| 0.710266
| 0
| 0.002372
| 0.306743
| 2,432
| 85
| 91
| 28.611765
| 0.77758
| 0.134868
| 0
| 0.709677
| 0
| 0
| 0.167705
| 0.029708
| 0
| 0
| 0
| 0
| 0.129032
| 1
| 0.032258
| false
| 0
| 0.048387
| 0
| 0.080645
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
64e45fc55aacece0c9b05f99b8628487b99747a2
| 3,234
|
py
|
Python
|
src/fdk_organization_bff/sparql/dataset_queries.py
|
Informasjonsforvaltning/organization-page-bffe
|
473dc9606649f864618f4f8bfc4a6a2a035f06d7
|
[
"Apache-2.0"
] | null | null | null |
src/fdk_organization_bff/sparql/dataset_queries.py
|
Informasjonsforvaltning/organization-page-bffe
|
473dc9606649f864618f4f8bfc4a6a2a035f06d7
|
[
"Apache-2.0"
] | null | null | null |
src/fdk_organization_bff/sparql/dataset_queries.py
|
Informasjonsforvaltning/organization-page-bffe
|
473dc9606649f864618f4f8bfc4a6a2a035f06d7
|
[
"Apache-2.0"
] | null | null | null |
"""Module for Dataset SPARQL-queries."""
from string import Template
def build_org_datasets_query(organization_id: str) -> str:
"""Build query for an organizations datasets."""
query_template = Template(
"""
PREFIX dct: <http://purl.org/dc/terms/>
PREFIX foaf: <http://xmlns.com/foaf/0.1/>
PREFIX dcat: <http://www.w3.org/ns/dcat#>
PREFIX fdk: <https://raw.githubusercontent.com/Informasjonsforvaltning/fdk-reasoning-service/master/src/main/resources/ontology/fdk.owl#>
SELECT DISTINCT ?dataset ?issued ?isAuthoritative ?isOpenData
FROM <https://datasets.fellesdatakatalog.digdir.no>
WHERE {{
?dataset a dcat:Dataset .
?record foaf:primaryTopic ?dataset .
?record dct:issued ?issued .
OPTIONAL {{ ?dataset fdk:isOpenData ?isOpenData . }}
OPTIONAL {{ ?dataset fdk:isAuthoritative ?isAuthoritative . }}
?dataset dct:publisher ?publisher .
?publisher dct:identifier "$org_id" .
}}"""
)
return query_template.substitute(org_id=organization_id)
def build_nap_org_datasets_query(organization_id: str) -> str:
"""Build query for an organizations NAP datasets."""
query_template = Template(
"""
PREFIX dct: <http://purl.org/dc/terms/>
PREFIX foaf: <http://xmlns.com/foaf/0.1/>
PREFIX dcat: <http://www.w3.org/ns/dcat#>
PREFIX fdk: <https://raw.githubusercontent.com/Informasjonsforvaltning/fdk-reasoning-service/master/src/main/resources/ontology/fdk.owl#>
SELECT DISTINCT ?dataset ?issued ?isAuthoritative ?isOpenData
FROM <https://datasets.fellesdatakatalog.digdir.no>
WHERE {{
?dataset a dcat:Dataset .
?dataset fdk:isRelatedToTransportportal ?isNAP .
FILTER (STR(?isNAP) = "true")
?record foaf:primaryTopic ?dataset .
?record dct:issued ?issued .
OPTIONAL {{ ?dataset fdk:isOpenData ?isOpenData . }}
OPTIONAL {{ ?dataset fdk:isAuthoritative ?isAuthoritative . }}
?dataset dct:publisher ?publisher .
?publisher dct:identifier "$org_id" .
}}"""
)
return query_template.substitute(org_id=organization_id)
def build_datasets_by_publisher_query() -> str:
"""Build query to count datasets grouped by publisher."""
return """
PREFIX dct: <http://purl.org/dc/terms/>
PREFIX dcat: <http://www.w3.org/ns/dcat#>
SELECT ?organizationNumber (COUNT(DISTINCT ?dataset) AS ?count)
FROM <https://datasets.fellesdatakatalog.digdir.no>
WHERE {{
?dataset a dcat:Dataset .
?dataset dct:publisher ?publisher .
?publisher dct:identifier ?organizationNumber .
}}
GROUP BY ?organizationNumber"""
def build_nap_datasets_by_publisher_query() -> str:
"""Build query to count NAP datasets grouped by publisher."""
return """
PREFIX dct: <http://purl.org/dc/terms/>
PREFIX dcat: <http://www.w3.org/ns/dcat#>
PREFIX fdk: <https://raw.githubusercontent.com/Informasjonsforvaltning/fdk-reasoning-service/master/src/main/resources/ontology/fdk.owl#>
SELECT ?organizationNumber (COUNT(DISTINCT ?dataset) AS ?count)
FROM <https://datasets.fellesdatakatalog.digdir.no>
WHERE {{
?dataset a dcat:Dataset .
?dataset fdk:isRelatedToTransportportal ?isNAP .
FILTER (STR(?isNAP) = "true")
?dataset dct:publisher ?publisher .
?publisher dct:identifier ?organizationNumber .
}}
GROUP BY ?organizationNumber"""
| 36.337079
| 137
| 0.722325
| 386
| 3,234
| 5.979275
| 0.196891
| 0.062392
| 0.02253
| 0.029463
| 0.964905
| 0.964905
| 0.964905
| 0.964905
| 0.964905
| 0.926776
| 0
| 0.002867
| 0.137291
| 3,234
| 88
| 138
| 36.75
| 0.824373
| 0.071738
| 0
| 0.722222
| 0
| 0.027778
| 0.640974
| 0.020284
| 0
| 0
| 0
| 0
| 0
| 1
| 0.111111
| false
| 0
| 0.027778
| 0
| 0.25
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
64f93bec253ff88ef027648a5e51bfdcff9f88fa
| 19,858
|
py
|
Python
|
yellowbrick/datasets/loaders.py
|
souravsingh/yellowbrick
|
a5941a6c47fbe5264f3622bc15276ba618bbe1d0
|
[
"Apache-2.0"
] | 2
|
2018-05-24T01:32:03.000Z
|
2018-05-27T19:56:02.000Z
|
yellowbrick/datasets/loaders.py
|
souravsingh/yellowbrick
|
a5941a6c47fbe5264f3622bc15276ba618bbe1d0
|
[
"Apache-2.0"
] | null | null | null |
yellowbrick/datasets/loaders.py
|
souravsingh/yellowbrick
|
a5941a6c47fbe5264f3622bc15276ba618bbe1d0
|
[
"Apache-2.0"
] | null | null | null |
# yellowbrick.datasets.loaders
# Dataset loading utilities and primary API to the datasets module.
#
# Author: Benjamin Bengfort <benjamin@bengfort.com>
# Created: Tue Jul 31 13:31:23 2018 -0400
#
# ID: loaders.py [] benjamin@bengfort.com $
"""
Dataset loading utilities and primary API to the datasets module.
"""
##########################################################################
## Imports
##########################################################################
import os
import json
from .base import Dataset, Corpus
__all__ = [
"load_concrete", "load_energy", "load_credit", "load_occupancy",
"load_mushroom", "load_hobbies", "load_game", "load_bikeshare",
"load_spam", "load_walking",
]
##########################################################################
## Links and SHA 256 signature of Yellowbrick hosted datasets
##########################################################################
MANIFEST = os.path.join(os.path.dirname(__file__), "manifest.json")
with open(MANIFEST, "r") as f:
DATASETS = json.load(f)
##########################################################################
## Specific loading utilities
##########################################################################
def _load_dataset(name, data_home=None, return_dataset=False):
"""
Load a dataset by name and return specified format.
"""
info = DATASETS[name]
data = Dataset(name, data_home=data_home, **info)
if return_dataset:
return data
return data.to_data()
def _load_corpus(name, data_home=None):
"""
Load a corpus object by name.
"""
info = DATASETS[name]
return Corpus(name, data_home=data_home, **info)
def load_concrete(data_home=None, return_dataset=False):
"""
Loads the concrete multivariate dataset that is well suited to regression
tasks. The dataset contains 1030 instances and 8 real valued attributes
with a continuous target.
The Yellowbrick datasets are hosted online and when requested, the dataset
is downloaded to your local computer for use. Note that if the dataset
hasn't been downloaded before, an Internet connection is required. However,
if the data is cached locally, no data will be downloaded. Yellowbrick
checks the known signature of the dataset with the data downloaded to
ensure the download completes successfully.
Datasets are stored alongside the code, but the location can be specified
with the ``data_home`` parameter or the $YELLOWBRICK_DATA envvar.
Parameters
----------
data_home : str, optional
The path on disk where data is stored. If not passed in, it is looked
up from YELLOWBRICK_DATA or the default returned by ``get_data_home``.
return_dataset : bool, default=False
Return the raw dataset object instead of X and y numpy arrays to
get access to alternative targets, extra features, content and meta.
Returns
-------
X : array-like with shape (n_instances, n_features) if return_dataset=False
A pandas DataFrame or numpy array describing the instance features.
y : array-like with shape (n_instances,) if return_dataset=False
A pandas Series or numpy array describing the target vector.
dataset : Dataset instance if return_dataset=True
The Yellowbrick Dataset object provides an interface to accessing the
data in a variety of formats as well as associated metadata and content.
"""
return _load_dataset('concrete', data_home, return_dataset)
def load_energy(data_home=None, return_dataset=False):
"""
Loads the energy multivariate dataset that is well suited to multi-output
regression and classification tasks. The dataset contains 768 instances and
8 real valued attributes with two continous targets.
The Yellowbrick datasets are hosted online and when requested, the dataset
is downloaded to your local computer for use. Note that if the dataset
hasn't been downloaded before, an Internet connection is required. However,
if the data is cached locally, no data will be downloaded. Yellowbrick
checks the known signature of the dataset with the data downloaded to
ensure the download completes successfully.
Datasets are stored alongside the code, but the location can be specified
with the ``data_home`` parameter or the $YELLOWBRICK_DATA envvar.
Parameters
----------
data_home : str, optional
The path on disk where data is stored. If not passed in, it is looked
up from YELLOWBRICK_DATA or the default returned by ``get_data_home``.
return_dataset : bool, default=False
Return the raw dataset object instead of X and y numpy arrays to
get access to alternative targets, extra features, content and meta.
Returns
-------
X : array-like with shape (n_instances, n_features) if return_dataset=False
A pandas DataFrame or numpy array describing the instance features.
y : array-like with shape (n_instances,) if return_dataset=False
A pandas Series or numpy array describing the target vector.
dataset : Dataset instance if return_dataset=True
The Yellowbrick Dataset object provides an interface to accessing the
data in a variety of formats as well as associated metadata and content.
"""
return _load_dataset('energy', data_home, return_dataset)
def load_credit(data_home=None, return_dataset=False):
"""
Loads the credit multivariate dataset that is well suited to binary
classification tasks. The dataset contains 30000 instances and 23 integer
and real value attributes with a discrete target.
The Yellowbrick datasets are hosted online and when requested, the dataset
is downloaded to your local computer for use. Note that if the dataset
hasn't been downloaded before, an Internet connection is required. However,
if the data is cached locally, no data will be downloaded. Yellowbrick
checks the known signature of the dataset with the data downloaded to
ensure the download completes successfully.
Datasets are stored alongside the code, but the location can be specified
with the ``data_home`` parameter or the $YELLOWBRICK_DATA envvar.
Parameters
----------
data_home : str, optional
The path on disk where data is stored. If not passed in, it is looked
up from YELLOWBRICK_DATA or the default returned by ``get_data_home``.
return_dataset : bool, default=False
Return the raw dataset object instead of X and y numpy arrays to
get access to alternative targets, extra features, content and meta.
Returns
-------
X : array-like with shape (n_instances, n_features) if return_dataset=False
A pandas DataFrame or numpy array describing the instance features.
y : array-like with shape (n_instances,) if return_dataset=False
A pandas Series or numpy array describing the target vector.
dataset : Dataset instance if return_dataset=True
The Yellowbrick Dataset object provides an interface to accessing the
data in a variety of formats as well as associated metadata and content.
"""
return _load_dataset('credit', data_home, return_dataset)
def load_occupancy(data_home=None, return_dataset=False):
"""
Loads the occupancy multivariate, time-series dataset that is well suited
to binary classification tasks. The dataset contains 20560 instances with
5 real valued attributes and a discrete target.
The Yellowbrick datasets are hosted online and when requested, the dataset
is downloaded to your local computer for use. Note that if the dataset
hasn't been downloaded before, an Internet connection is required. However,
if the data is cached locally, no data will be downloaded. Yellowbrick
checks the known signature of the dataset with the data downloaded to
ensure the download completes successfully.
Datasets are stored alongside the code, but the location can be specified
with the ``data_home`` parameter or the $YELLOWBRICK_DATA envvar.
Parameters
----------
data_home : str, optional
The path on disk where data is stored. If not passed in, it is looked
up from YELLOWBRICK_DATA or the default returned by ``get_data_home``.
return_dataset : bool, default=False
Return the raw dataset object instead of X and y numpy arrays to
get access to alternative targets, extra features, content and meta.
Returns
-------
X : array-like with shape (n_instances, n_features) if return_dataset=False
A pandas DataFrame or numpy array describing the instance features.
y : array-like with shape (n_instances,) if return_dataset=False
A pandas Series or numpy array describing the target vector.
dataset : Dataset instance if return_dataset=True
The Yellowbrick Dataset object provides an interface to accessing the
data in a variety of formats as well as associated metadata and content.
"""
return _load_dataset('occupancy', data_home, return_dataset)
def load_mushroom(data_home=None, return_dataset=False):
"""
Loads the mushroom multivariate dataset that is well suited to binary
classification tasks. The dataset contains 8123 instances with 3
categorical attributes and a discrete target.
The Yellowbrick datasets are hosted online and when requested, the dataset
is downloaded to your local computer for use. Note that if the dataset
hasn't been downloaded before, an Internet connection is required. However,
if the data is cached locally, no data will be downloaded. Yellowbrick
checks the known signature of the dataset with the data downloaded to
ensure the download completes successfully.
Datasets are stored alongside the code, but the location can be specified
with the ``data_home`` parameter or the $YELLOWBRICK_DATA envvar.
Parameters
----------
data_home : str, optional
The path on disk where data is stored. If not passed in, it is looked
up from YELLOWBRICK_DATA or the default returned by ``get_data_home``.
return_dataset : bool, default=False
Return the raw dataset object instead of X and y numpy arrays to
get access to alternative targets, extra features, content and meta.
Returns
-------
X : array-like with shape (n_instances, n_features) if return_dataset=False
A pandas DataFrame or numpy array describing the instance features.
y : array-like with shape (n_instances,) if return_dataset=False
A pandas Series or numpy array describing the target vector.
dataset : Dataset instance if return_dataset=True
The Yellowbrick Dataset object provides an interface to accessing the
data in a variety of formats as well as associated metadata and content.
"""
return _load_dataset('mushroom', data_home, return_dataset)
def load_hobbies(data_home=None):
"""
Loads the hobbies text corpus that is well suited to classification,
clustering, and text analysis tasks. The dataset contains 448 documents in
5 categories with 7420 paragraphs, 14251 sentences, 288520 words, and a
vocabulary of 23738.
The Yellowbrick datasets are hosted online and when requested, the dataset
is downloaded to your local computer for use. Note that if the dataset
hasn't been downloaded before, an Internet connection is required. However,
if the data is cached locally, no data will be downloaded. Yellowbrick
checks the known signature of the dataset with the data downloaded to
ensure the download completes successfully.
Datasets are stored alongside the code, but the location can be specified
with the ``data_home`` parameter or the $YELLOWBRICK_DATA envvar.
Parameters
----------
data_home : str, optional
The path on disk where data is stored. If not passed in, it is looked
up from YELLOWBRICK_DATA or the default returned by ``get_data_home``.
Returns
-------
dataset : Corpus
The Yellowbrick Corpus object provides an interface to accessing the
text documents and metadata associated with the corpus.
"""
return _load_corpus('hobbies', data_home)
def load_game(data_home=None, return_dataset=False):
"""
Load the Connect-4 game multivariate and spatial dataset that is well
suited to multiclass classification tasks. The dataset contains 67557
instances with 42 categorical attributes and a discrete target.
The Yellowbrick datasets are hosted online and when requested, the dataset
is downloaded to your local computer for use. Note that if the dataset
hasn't been downloaded before, an Internet connection is required. However,
if the data is cached locally, no data will be downloaded. Yellowbrick
checks the known signature of the dataset with the data downloaded to
ensure the download completes successfully.
Datasets are stored alongside the code, but the location can be specified
with the ``data_home`` parameter or the $YELLOWBRICK_DATA envvar.
Parameters
----------
data_home : str, optional
The path on disk where data is stored. If not passed in, it is looked
up from YELLOWBRICK_DATA or the default returned by ``get_data_home``.
return_dataset : bool, default=False
Return the raw dataset object instead of X and y numpy arrays to
get access to alternative targets, extra features, content and meta.
Returns
-------
X : array-like with shape (n_instances, n_features) if return_dataset=False
A pandas DataFrame or numpy array describing the instance features.
y : array-like with shape (n_instances,) if return_dataset=False
A pandas Series or numpy array describing the target vector.
dataset : Dataset instance if return_dataset=True
The Yellowbrick Dataset object provides an interface to accessing the
data in a variety of formats as well as associated metadata and content.
"""
return _load_dataset('game', data_home, return_dataset)
def load_bikeshare(data_home=None, return_dataset=False):
"""
Loads the bike sharing univariate dataset that is well suited to regression
tasks. The dataset contains 17379 instances with 12 integer and real valued
attributes and a continuous target.
The Yellowbrick datasets are hosted online and when requested, the dataset
is downloaded to your local computer for use. Note that if the dataset
hasn't been downloaded before, an Internet connection is required. However,
if the data is cached locally, no data will be downloaded. Yellowbrick
checks the known signature of the dataset with the data downloaded to
ensure the download completes successfully.
Datasets are stored alongside the code, but the location can be specified
with the ``data_home`` parameter or the $YELLOWBRICK_DATA envvar.
Parameters
----------
data_home : str, optional
The path on disk where data is stored. If not passed in, it is looked
up from YELLOWBRICK_DATA or the default returned by ``get_data_home``.
return_dataset : bool, default=False
Return the raw dataset object instead of X and y numpy arrays to
get access to alternative targets, extra features, content and meta.
Returns
-------
X : array-like with shape (n_instances, n_features) if return_dataset=False
A pandas DataFrame or numpy array describing the instance features.
y : array-like with shape (n_instances,) if return_dataset=False
A pandas Series or numpy array describing the target vector.
dataset : Dataset instance if return_dataset=True
The Yellowbrick Dataset object provides an interface to accessing the
data in a variety of formats as well as associated metadata and content.
"""
return _load_dataset('bikeshare', data_home, return_dataset)
def load_spam(data_home=None, return_dataset=False):
"""
Loads the email spam dataset that is weill suited to binary classification
and threshold tasks. The dataset contains 4600 instances with 57 integer and
real valued attributes and a discrete target.
The Yellowbrick datasets are hosted online and when requested, the dataset
is downloaded to your local computer for use. Note that if the dataset
hasn't been downloaded before, an Internet connection is required. However,
if the data is cached locally, no data will be downloaded. Yellowbrick
checks the known signature of the dataset with the data downloaded to
ensure the download completes successfully.
Datasets are stored alongside the code, but the location can be specified
with the ``data_home`` parameter or the $YELLOWBRICK_DATA envvar.
Parameters
----------
data_home : str, optional
The path on disk where data is stored. If not passed in, it is looked
up from YELLOWBRICK_DATA or the default returned by ``get_data_home``.
return_dataset : bool, default=False
Return the raw dataset object instead of X and y numpy arrays to
get access to alternative targets, extra features, content and meta.
Returns
-------
X : array-like with shape (n_instances, n_features) if return_dataset=False
A pandas DataFrame or numpy array describing the instance features.
y : array-like with shape (n_instances,) if return_dataset=False
A pandas Series or numpy array describing the target vector.
dataset : Dataset instance if return_dataset=True
The Yellowbrick Dataset object provides an interface to accessing the
data in a variety of formats as well as associated metadata and content.
"""
return _load_dataset('spam', data_home, return_dataset)
def load_walking(data_home=None, return_dataset=False):
"""
Loads the walking activity dataset that is weill suited to clustering and
multi-label classification tasks. The dataset contains multi-variate time
series data with 149,332 real valued measurements across 22 unique walkers.
The Yellowbrick datasets are hosted online and when requested, the dataset
is downloaded to your local computer for use. Note that if the dataset
hasn't been downloaded before, an Internet connection is required. However,
if the data is cached locally, no data will be downloaded. Yellowbrick
checks the known signature of the dataset with the data downloaded to
ensure the download completes successfully.
Datasets are stored alongside the code, but the location can be specified
with the ``data_home`` parameter or the $YELLOWBRICK_DATA envvar.
Parameters
----------
data_home : str, optional
The path on disk where data is stored. If not passed in, it is looked
up from YELLOWBRICK_DATA or the default returned by ``get_data_home``.
return_dataset : bool, default=False
Return the raw dataset object instead of X and y numpy arrays to
get access to alternative targets, extra features, content and meta.
Returns
-------
X : array-like with shape (n_instances, n_features) if return_dataset=False
A pandas DataFrame or numpy array describing the instance features.
y : array-like with shape (n_instances,) if return_dataset=False
A pandas Series or numpy array describing the target vector.
dataset : Dataset instance if return_dataset=True
The Yellowbrick Dataset object provides an interface to accessing the
data in a variety of formats as well as associated metadata and content.
"""
return _load_dataset('walking', data_home, return_dataset)
| 43.263617
| 80
| 0.714876
| 2,763
| 19,858
| 5.057546
| 0.086138
| 0.03206
| 0.036067
| 0.02705
| 0.883569
| 0.874338
| 0.849363
| 0.829827
| 0.808072
| 0.808072
| 0
| 0.006336
| 0.213113
| 19,858
| 459
| 81
| 43.263617
| 0.887943
| 0.815994
| 0
| 0.05
| 0
| 0
| 0.102302
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.3
| false
| 0
| 0.075
| 0
| 0.7
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 9
|
56c9b4325130675fb14a045f99637300300a123f
| 366
|
py
|
Python
|
package/SmartLoong/SmartLoong.py
|
ccccmagicboy2022/pikascript
|
154ccd8e90e0d50e1551536d32bd2a3648e194d2
|
[
"MIT"
] | 228
|
2021-09-11T06:09:43.000Z
|
2022-03-30T08:09:01.000Z
|
package/SmartLoong/SmartLoong.py
|
ccccmagicboy2022/pikascript
|
154ccd8e90e0d50e1551536d32bd2a3648e194d2
|
[
"MIT"
] | 48
|
2021-09-25T01:23:43.000Z
|
2022-03-31T07:34:43.000Z
|
package/SmartLoong/SmartLoong.py
|
ccccmagicboy2022/pikascript
|
154ccd8e90e0d50e1551536d32bd2a3648e194d2
|
[
"MIT"
] | 31
|
2021-09-17T12:06:45.000Z
|
2022-03-19T16:10:11.000Z
|
from PikaObj import *
class LED(TinyObj):
def __init__():
pass
def setId(id: int):
pass
def enable():
pass
def on():
pass
def off():
pass
class KEY(TinyObj):
def __init__():
pass
def setId(id: int):
pass
def enable():
pass
def read() -> int:
pass
| 11.090909
| 23
| 0.464481
| 41
| 366
| 3.95122
| 0.414634
| 0.302469
| 0.17284
| 0.222222
| 0.62963
| 0.62963
| 0.62963
| 0.62963
| 0.62963
| 0.62963
| 0
| 0
| 0.431694
| 366
| 32
| 24
| 11.4375
| 0.778846
| 0
| 0
| 0.714286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.428571
| false
| 0.428571
| 0.047619
| 0
| 0.571429
| 0
| 0
| 0
| 0
| null | 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 7
|
56e18f0b9cb296c71b65a4e87483eeeaa591345f
| 46
|
py
|
Python
|
src/amuse/community/etics/__init__.py
|
sibonyves/amuse
|
5557bf88d14df1aa02133a199b6d60c0c57dcab7
|
[
"Apache-2.0"
] | null | null | null |
src/amuse/community/etics/__init__.py
|
sibonyves/amuse
|
5557bf88d14df1aa02133a199b6d60c0c57dcab7
|
[
"Apache-2.0"
] | 12
|
2021-11-15T09:13:03.000Z
|
2022-02-02T14:53:04.000Z
|
src/amuse/community/etics/__init__.py
|
sibonyves/amuse
|
5557bf88d14df1aa02133a199b6d60c0c57dcab7
|
[
"Apache-2.0"
] | null | null | null |
# generated file
from .interface import Etics
| 15.333333
| 28
| 0.804348
| 6
| 46
| 6.166667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.152174
| 46
| 2
| 29
| 23
| 0.948718
| 0.304348
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
56ec0565b8cd8a6c101fc1a3e34d1ac2ddefc871
| 26,228
|
py
|
Python
|
sdk/python/pulumi_azuredevops/git.py
|
pulumi/pulumi-azuredevops
|
e6d73d1501335037fb944ae627091a7afc7f0048
|
[
"ECL-2.0",
"Apache-2.0"
] | 13
|
2020-06-28T11:39:32.000Z
|
2022-03-05T13:34:16.000Z
|
sdk/python/pulumi_azuredevops/git.py
|
pulumi/pulumi-azuredevops
|
e6d73d1501335037fb944ae627091a7afc7f0048
|
[
"ECL-2.0",
"Apache-2.0"
] | 58
|
2020-06-20T14:00:28.000Z
|
2022-03-31T15:20:51.000Z
|
sdk/python/pulumi_azuredevops/git.py
|
pulumi/pulumi-azuredevops
|
e6d73d1501335037fb944ae627091a7afc7f0048
|
[
"ECL-2.0",
"Apache-2.0"
] | 2
|
2020-10-21T03:22:01.000Z
|
2021-12-10T18:26:59.000Z
|
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from . import _utilities
from . import outputs
from ._inputs import *
__all__ = ['GitArgs', 'Git']
@pulumi.input_type
class GitArgs:
def __init__(__self__, *,
initialization: pulumi.Input['GitInitializationArgs'],
project_id: pulumi.Input[str],
default_branch: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
parent_repository_id: Optional[pulumi.Input[str]] = None):
"""
The set of arguments for constructing a Git resource.
:param pulumi.Input['GitInitializationArgs'] initialization: An `initialization` block as documented below.
:param pulumi.Input[str] project_id: The project ID or project name.
:param pulumi.Input[str] default_branch: The ref of the default branch. Will be used as the branch name for initialized repositories.
:param pulumi.Input[str] name: The name of the git repository.
:param pulumi.Input[str] parent_repository_id: The ID of a Git project from which a fork is to be created.
"""
pulumi.set(__self__, "initialization", initialization)
pulumi.set(__self__, "project_id", project_id)
if default_branch is not None:
pulumi.set(__self__, "default_branch", default_branch)
if name is not None:
pulumi.set(__self__, "name", name)
if parent_repository_id is not None:
pulumi.set(__self__, "parent_repository_id", parent_repository_id)
@property
@pulumi.getter
def initialization(self) -> pulumi.Input['GitInitializationArgs']:
"""
An `initialization` block as documented below.
"""
return pulumi.get(self, "initialization")
@initialization.setter
def initialization(self, value: pulumi.Input['GitInitializationArgs']):
pulumi.set(self, "initialization", value)
@property
@pulumi.getter(name="projectId")
def project_id(self) -> pulumi.Input[str]:
"""
The project ID or project name.
"""
return pulumi.get(self, "project_id")
@project_id.setter
def project_id(self, value: pulumi.Input[str]):
pulumi.set(self, "project_id", value)
@property
@pulumi.getter(name="defaultBranch")
def default_branch(self) -> Optional[pulumi.Input[str]]:
"""
The ref of the default branch. Will be used as the branch name for initialized repositories.
"""
return pulumi.get(self, "default_branch")
@default_branch.setter
def default_branch(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "default_branch", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
The name of the git repository.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter(name="parentRepositoryId")
def parent_repository_id(self) -> Optional[pulumi.Input[str]]:
"""
The ID of a Git project from which a fork is to be created.
"""
return pulumi.get(self, "parent_repository_id")
@parent_repository_id.setter
def parent_repository_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "parent_repository_id", value)
@pulumi.input_type
class _GitState:
def __init__(__self__, *,
default_branch: Optional[pulumi.Input[str]] = None,
initialization: Optional[pulumi.Input['GitInitializationArgs']] = None,
is_fork: Optional[pulumi.Input[bool]] = None,
name: Optional[pulumi.Input[str]] = None,
parent_repository_id: Optional[pulumi.Input[str]] = None,
project_id: Optional[pulumi.Input[str]] = None,
remote_url: Optional[pulumi.Input[str]] = None,
size: Optional[pulumi.Input[int]] = None,
ssh_url: Optional[pulumi.Input[str]] = None,
url: Optional[pulumi.Input[str]] = None,
web_url: Optional[pulumi.Input[str]] = None):
"""
Input properties used for looking up and filtering Git resources.
:param pulumi.Input[str] default_branch: The ref of the default branch. Will be used as the branch name for initialized repositories.
:param pulumi.Input['GitInitializationArgs'] initialization: An `initialization` block as documented below.
:param pulumi.Input[bool] is_fork: True if the repository was created as a fork.
:param pulumi.Input[str] name: The name of the git repository.
:param pulumi.Input[str] parent_repository_id: The ID of a Git project from which a fork is to be created.
:param pulumi.Input[str] project_id: The project ID or project name.
:param pulumi.Input[str] remote_url: Git HTTPS URL of the repository
:param pulumi.Input[int] size: Size in bytes.
:param pulumi.Input[str] ssh_url: Git SSH URL of the repository.
:param pulumi.Input[str] url: REST API URL of the repository.
:param pulumi.Input[str] web_url: Web link to the repository.
"""
if default_branch is not None:
pulumi.set(__self__, "default_branch", default_branch)
if initialization is not None:
pulumi.set(__self__, "initialization", initialization)
if is_fork is not None:
pulumi.set(__self__, "is_fork", is_fork)
if name is not None:
pulumi.set(__self__, "name", name)
if parent_repository_id is not None:
pulumi.set(__self__, "parent_repository_id", parent_repository_id)
if project_id is not None:
pulumi.set(__self__, "project_id", project_id)
if remote_url is not None:
pulumi.set(__self__, "remote_url", remote_url)
if size is not None:
pulumi.set(__self__, "size", size)
if ssh_url is not None:
pulumi.set(__self__, "ssh_url", ssh_url)
if url is not None:
pulumi.set(__self__, "url", url)
if web_url is not None:
pulumi.set(__self__, "web_url", web_url)
@property
@pulumi.getter(name="defaultBranch")
def default_branch(self) -> Optional[pulumi.Input[str]]:
"""
The ref of the default branch. Will be used as the branch name for initialized repositories.
"""
return pulumi.get(self, "default_branch")
@default_branch.setter
def default_branch(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "default_branch", value)
@property
@pulumi.getter
def initialization(self) -> Optional[pulumi.Input['GitInitializationArgs']]:
"""
An `initialization` block as documented below.
"""
return pulumi.get(self, "initialization")
@initialization.setter
def initialization(self, value: Optional[pulumi.Input['GitInitializationArgs']]):
pulumi.set(self, "initialization", value)
@property
@pulumi.getter(name="isFork")
def is_fork(self) -> Optional[pulumi.Input[bool]]:
"""
True if the repository was created as a fork.
"""
return pulumi.get(self, "is_fork")
@is_fork.setter
def is_fork(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "is_fork", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
The name of the git repository.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter(name="parentRepositoryId")
def parent_repository_id(self) -> Optional[pulumi.Input[str]]:
"""
The ID of a Git project from which a fork is to be created.
"""
return pulumi.get(self, "parent_repository_id")
@parent_repository_id.setter
def parent_repository_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "parent_repository_id", value)
@property
@pulumi.getter(name="projectId")
def project_id(self) -> Optional[pulumi.Input[str]]:
"""
The project ID or project name.
"""
return pulumi.get(self, "project_id")
@project_id.setter
def project_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "project_id", value)
@property
@pulumi.getter(name="remoteUrl")
def remote_url(self) -> Optional[pulumi.Input[str]]:
"""
Git HTTPS URL of the repository
"""
return pulumi.get(self, "remote_url")
@remote_url.setter
def remote_url(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "remote_url", value)
@property
@pulumi.getter
def size(self) -> Optional[pulumi.Input[int]]:
"""
Size in bytes.
"""
return pulumi.get(self, "size")
@size.setter
def size(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "size", value)
@property
@pulumi.getter(name="sshUrl")
def ssh_url(self) -> Optional[pulumi.Input[str]]:
"""
Git SSH URL of the repository.
"""
return pulumi.get(self, "ssh_url")
@ssh_url.setter
def ssh_url(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "ssh_url", value)
@property
@pulumi.getter
def url(self) -> Optional[pulumi.Input[str]]:
"""
REST API URL of the repository.
"""
return pulumi.get(self, "url")
@url.setter
def url(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "url", value)
@property
@pulumi.getter(name="webUrl")
def web_url(self) -> Optional[pulumi.Input[str]]:
"""
Web link to the repository.
"""
return pulumi.get(self, "web_url")
@web_url.setter
def web_url(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "web_url", value)
class Git(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
default_branch: Optional[pulumi.Input[str]] = None,
initialization: Optional[pulumi.Input[pulumi.InputType['GitInitializationArgs']]] = None,
name: Optional[pulumi.Input[str]] = None,
parent_repository_id: Optional[pulumi.Input[str]] = None,
project_id: Optional[pulumi.Input[str]] = None,
__props__=None):
"""
Manages a git repository within Azure DevOps.
## Example Usage
### Create Git repository
```python
import pulumi
import pulumi_azuredevops as azuredevops
project = azuredevops.Project("project",
visibility="private",
version_control="Git",
work_item_template="Agile")
repo = azuredevops.Git("repo",
project_id=project.id,
initialization=azuredevops.GitInitializationArgs(
init_type="Clean",
))
```
### Create Fork of another Azure DevOps Git repository
```python
import pulumi
import pulumi_azuredevops as azuredevops
repo = azuredevops.Git("repo",
project_id=azuredevops_project["project"]["id"],
parent_repository_id=azuredevops_git_repository["parent"]["id"],
initialization=azuredevops.GitInitializationArgs(
init_type="Clean",
))
```
### Create Import from another Git repository
```python
import pulumi
import pulumi_azuredevops as azuredevops
repo = azuredevops.Git("repo",
project_id=azuredevops_project["project"]["id"],
initialization=azuredevops.GitInitializationArgs(
init_type="Import",
source_type="Git",
source_url="https://github.com/microsoft/terraform-provider-azuredevops.git",
))
```
### Import from a Private Repository
```python
import pulumi
import pulumi_azuredevops as azuredevops
serviceendpoint = azuredevops.ServiceEndpointGenericGit("serviceendpoint",
project_id=azuredevops_project["project"]["id"],
repository_url="https://dev.azure.com/org/project/_git/repository",
username="username",
password="<password>/<PAT>",
service_endpoint_name="Sample Generic Git",
description="Managed by Terraform")
repo = azuredevops.Git("repo",
project_id=azuredevops_project["project"]["id"],
initialization=azuredevops.GitInitializationArgs(
init_type="Import",
source_type="Git",
source_url="https://dev.azure.com/example-org/private-repository.git",
service_connection_id=serviceendpoint.id,
))
```
## Relevant Links
- [Azure DevOps Service REST API 5.1 - Git Repositories](https://docs.microsoft.com/en-us/rest/api/azure/devops/git/repositories?view=azure-devops-rest-5.1)
## Import
Azure DevOps Repositories can be imported using the repo name or by the repo Guid e.g.
```sh
$ pulumi import azuredevops:index/git:Git repository projectName/repoName
```
or
```sh
$ pulumi import azuredevops:index/git:Git repository projectName/00000000-0000-0000-0000-000000000000
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] default_branch: The ref of the default branch. Will be used as the branch name for initialized repositories.
:param pulumi.Input[pulumi.InputType['GitInitializationArgs']] initialization: An `initialization` block as documented below.
:param pulumi.Input[str] name: The name of the git repository.
:param pulumi.Input[str] parent_repository_id: The ID of a Git project from which a fork is to be created.
:param pulumi.Input[str] project_id: The project ID or project name.
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: GitArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
Manages a git repository within Azure DevOps.
## Example Usage
### Create Git repository
```python
import pulumi
import pulumi_azuredevops as azuredevops
project = azuredevops.Project("project",
visibility="private",
version_control="Git",
work_item_template="Agile")
repo = azuredevops.Git("repo",
project_id=project.id,
initialization=azuredevops.GitInitializationArgs(
init_type="Clean",
))
```
### Create Fork of another Azure DevOps Git repository
```python
import pulumi
import pulumi_azuredevops as azuredevops
repo = azuredevops.Git("repo",
project_id=azuredevops_project["project"]["id"],
parent_repository_id=azuredevops_git_repository["parent"]["id"],
initialization=azuredevops.GitInitializationArgs(
init_type="Clean",
))
```
### Create Import from another Git repository
```python
import pulumi
import pulumi_azuredevops as azuredevops
repo = azuredevops.Git("repo",
project_id=azuredevops_project["project"]["id"],
initialization=azuredevops.GitInitializationArgs(
init_type="Import",
source_type="Git",
source_url="https://github.com/microsoft/terraform-provider-azuredevops.git",
))
```
### Import from a Private Repository
```python
import pulumi
import pulumi_azuredevops as azuredevops
serviceendpoint = azuredevops.ServiceEndpointGenericGit("serviceendpoint",
project_id=azuredevops_project["project"]["id"],
repository_url="https://dev.azure.com/org/project/_git/repository",
username="username",
password="<password>/<PAT>",
service_endpoint_name="Sample Generic Git",
description="Managed by Terraform")
repo = azuredevops.Git("repo",
project_id=azuredevops_project["project"]["id"],
initialization=azuredevops.GitInitializationArgs(
init_type="Import",
source_type="Git",
source_url="https://dev.azure.com/example-org/private-repository.git",
service_connection_id=serviceendpoint.id,
))
```
## Relevant Links
- [Azure DevOps Service REST API 5.1 - Git Repositories](https://docs.microsoft.com/en-us/rest/api/azure/devops/git/repositories?view=azure-devops-rest-5.1)
## Import
Azure DevOps Repositories can be imported using the repo name or by the repo Guid e.g.
```sh
$ pulumi import azuredevops:index/git:Git repository projectName/repoName
```
or
```sh
$ pulumi import azuredevops:index/git:Git repository projectName/00000000-0000-0000-0000-000000000000
```
:param str resource_name: The name of the resource.
:param GitArgs args: The arguments to use to populate this resource's properties.
:param pulumi.ResourceOptions opts: Options for the resource.
"""
...
def __init__(__self__, resource_name: str, *args, **kwargs):
resource_args, opts = _utilities.get_resource_args_opts(GitArgs, pulumi.ResourceOptions, *args, **kwargs)
if resource_args is not None:
__self__._internal_init(resource_name, opts, **resource_args.__dict__)
else:
__self__._internal_init(resource_name, *args, **kwargs)
def _internal_init(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
default_branch: Optional[pulumi.Input[str]] = None,
initialization: Optional[pulumi.Input[pulumi.InputType['GitInitializationArgs']]] = None,
name: Optional[pulumi.Input[str]] = None,
parent_repository_id: Optional[pulumi.Input[str]] = None,
project_id: Optional[pulumi.Input[str]] = None,
__props__=None):
if opts is None:
opts = pulumi.ResourceOptions()
if not isinstance(opts, pulumi.ResourceOptions):
raise TypeError('Expected resource options to be a ResourceOptions instance')
if opts.version is None:
opts.version = _utilities.get_version()
if opts.id is None:
if __props__ is not None:
raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource')
__props__ = GitArgs.__new__(GitArgs)
__props__.__dict__["default_branch"] = default_branch
if initialization is None and not opts.urn:
raise TypeError("Missing required property 'initialization'")
__props__.__dict__["initialization"] = initialization
__props__.__dict__["name"] = name
__props__.__dict__["parent_repository_id"] = parent_repository_id
if project_id is None and not opts.urn:
raise TypeError("Missing required property 'project_id'")
__props__.__dict__["project_id"] = project_id
__props__.__dict__["is_fork"] = None
__props__.__dict__["remote_url"] = None
__props__.__dict__["size"] = None
__props__.__dict__["ssh_url"] = None
__props__.__dict__["url"] = None
__props__.__dict__["web_url"] = None
alias_opts = pulumi.ResourceOptions(aliases=[pulumi.Alias(type_="azuredevops:Repository/git:Git")])
opts = pulumi.ResourceOptions.merge(opts, alias_opts)
super(Git, __self__).__init__(
'azuredevops:index/git:Git',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
default_branch: Optional[pulumi.Input[str]] = None,
initialization: Optional[pulumi.Input[pulumi.InputType['GitInitializationArgs']]] = None,
is_fork: Optional[pulumi.Input[bool]] = None,
name: Optional[pulumi.Input[str]] = None,
parent_repository_id: Optional[pulumi.Input[str]] = None,
project_id: Optional[pulumi.Input[str]] = None,
remote_url: Optional[pulumi.Input[str]] = None,
size: Optional[pulumi.Input[int]] = None,
ssh_url: Optional[pulumi.Input[str]] = None,
url: Optional[pulumi.Input[str]] = None,
web_url: Optional[pulumi.Input[str]] = None) -> 'Git':
"""
Get an existing Git resource's state with the given name, id, and optional extra
properties used to qualify the lookup.
:param str resource_name: The unique name of the resulting resource.
:param pulumi.Input[str] id: The unique provider ID of the resource to lookup.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] default_branch: The ref of the default branch. Will be used as the branch name for initialized repositories.
:param pulumi.Input[pulumi.InputType['GitInitializationArgs']] initialization: An `initialization` block as documented below.
:param pulumi.Input[bool] is_fork: True if the repository was created as a fork.
:param pulumi.Input[str] name: The name of the git repository.
:param pulumi.Input[str] parent_repository_id: The ID of a Git project from which a fork is to be created.
:param pulumi.Input[str] project_id: The project ID or project name.
:param pulumi.Input[str] remote_url: Git HTTPS URL of the repository
:param pulumi.Input[int] size: Size in bytes.
:param pulumi.Input[str] ssh_url: Git SSH URL of the repository.
:param pulumi.Input[str] url: REST API URL of the repository.
:param pulumi.Input[str] web_url: Web link to the repository.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _GitState.__new__(_GitState)
__props__.__dict__["default_branch"] = default_branch
__props__.__dict__["initialization"] = initialization
__props__.__dict__["is_fork"] = is_fork
__props__.__dict__["name"] = name
__props__.__dict__["parent_repository_id"] = parent_repository_id
__props__.__dict__["project_id"] = project_id
__props__.__dict__["remote_url"] = remote_url
__props__.__dict__["size"] = size
__props__.__dict__["ssh_url"] = ssh_url
__props__.__dict__["url"] = url
__props__.__dict__["web_url"] = web_url
return Git(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter(name="defaultBranch")
def default_branch(self) -> pulumi.Output[str]:
"""
The ref of the default branch. Will be used as the branch name for initialized repositories.
"""
return pulumi.get(self, "default_branch")
@property
@pulumi.getter
def initialization(self) -> pulumi.Output['outputs.GitInitialization']:
"""
An `initialization` block as documented below.
"""
return pulumi.get(self, "initialization")
@property
@pulumi.getter(name="isFork")
def is_fork(self) -> pulumi.Output[bool]:
"""
True if the repository was created as a fork.
"""
return pulumi.get(self, "is_fork")
@property
@pulumi.getter
def name(self) -> pulumi.Output[str]:
"""
The name of the git repository.
"""
return pulumi.get(self, "name")
@property
@pulumi.getter(name="parentRepositoryId")
def parent_repository_id(self) -> pulumi.Output[Optional[str]]:
"""
The ID of a Git project from which a fork is to be created.
"""
return pulumi.get(self, "parent_repository_id")
@property
@pulumi.getter(name="projectId")
def project_id(self) -> pulumi.Output[str]:
"""
The project ID or project name.
"""
return pulumi.get(self, "project_id")
@property
@pulumi.getter(name="remoteUrl")
def remote_url(self) -> pulumi.Output[str]:
"""
Git HTTPS URL of the repository
"""
return pulumi.get(self, "remote_url")
@property
@pulumi.getter
def size(self) -> pulumi.Output[int]:
"""
Size in bytes.
"""
return pulumi.get(self, "size")
@property
@pulumi.getter(name="sshUrl")
def ssh_url(self) -> pulumi.Output[str]:
"""
Git SSH URL of the repository.
"""
return pulumi.get(self, "ssh_url")
@property
@pulumi.getter
def url(self) -> pulumi.Output[str]:
"""
REST API URL of the repository.
"""
return pulumi.get(self, "url")
@property
@pulumi.getter(name="webUrl")
def web_url(self) -> pulumi.Output[str]:
"""
Web link to the repository.
"""
return pulumi.get(self, "web_url")
| 38.684366
| 164
| 0.62277
| 2,978
| 26,228
| 5.266622
| 0.075554
| 0.073642
| 0.069625
| 0.068732
| 0.868528
| 0.834353
| 0.806299
| 0.779967
| 0.772635
| 0.739926
| 0
| 0.003812
| 0.269864
| 26,228
| 677
| 165
| 38.741507
| 0.815196
| 0.372236
| 0
| 0.606452
| 1
| 0
| 0.103477
| 0.01882
| 0
| 0
| 0
| 0
| 0
| 1
| 0.16129
| false
| 0.003226
| 0.022581
| 0
| 0.283871
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
56f97dff5db86d4d4119464fd5fd4152e4c555e4
| 29,095
|
py
|
Python
|
cv/crop.py
|
nanpuhaha/cv-tools
|
53444a9defda02d4589c159d811639bc59c754bf
|
[
"MIT"
] | null | null | null |
cv/crop.py
|
nanpuhaha/cv-tools
|
53444a9defda02d4589c159d811639bc59c754bf
|
[
"MIT"
] | null | null | null |
cv/crop.py
|
nanpuhaha/cv-tools
|
53444a9defda02d4589c159d811639bc59c754bf
|
[
"MIT"
] | null | null | null |
import cv2
import numpy as np
from cv.io import imread
def compute_area(ymax, ymin, xmax, xmin):
"""function that computes rectangle area"""
return (ymax - ymin) * (xmax - xmin)
def reset_variables(var):
"""
function that reset all variables for row analysis
used after every row evaluation
"""
var["coord_upper_left"] = {"x": 0, "y": 0}
var["coord_lower_left"] = {"x": 0, "y": 0}
var["coord_upper_right"] = {"x": 0, "y": 0}
var["coord_lower_right"] = {"x": 0, "y": 0}
var["upper_left"] = False
var["lower_left"] = False
var["unhindered"] = []
def find_largest_rectangle(real_image):
if not isinstance(real_image, np.ndarray):
print(f"find_max_rectangle() -> Image is None.. Break!")
raise ValueError(f"Image is None")
var = {
"coord_upper_left": {"x": 0, "y": 0},
"coord_lower_left": {"x": 0, "y": 0},
"coord_upper_right": {"x": 0, "y": 0},
"coord_lower_right": {"x": 0, "y": 0},
"upper_left": False,
"lower_left": False,
"unhindered": [],
}
# Initial area of our first rectangle
area = 0
image = cv2.cvtColor(real_image, cv2.COLOR_BGR2GRAY)
ret, bin_image = cv2.threshold(image, 128, 1, cv2.THRESH_BINARY)
# Shape of image
height, width = bin_image.shape
for i in range(height):
# Reset all variables
reset_variables(var)
# Dealing with the case of last row
# Check that our current area is larger than the max of area remaining to check
# If so no need to continue
if area > (width * (height - i)):
break
for j in range(width):
# Find the first line of pixels containing "1"
if bin_image[i, j] == 0 and not (var["upper_left"]):
# Do not consider pixels that are equal to 0 unless upper left bound is ddefined
continue
if bin_image[i, j] == 1 and not (var["upper_left"]):
# We found our "1" pixel that defines our upper left coordinate
var["coord_upper_left"]["x"] = j
var["coord_upper_left"]["y"] = i
if j == (width - 1):
var["coord_upper_right"]["y"] = i
var["coord_upper_right"]["x"] = j
var["upper_left"] = True
# define our upper right coordinate after upper left coordinate has been set
if (bin_image[i, j] == 0 and var["upper_left"]) or (
bin_image[i, j] == 1 and j == (width - 1) and var["upper_left"]
):
var["coord_upper_right"]["x"] = j - 1
var["coord_upper_right"]["y"] = i
if j == (width - 1):
var["coord_upper_right"]["x"] = j
var["upper_left"] = False
# Vertical evaluation of previously found line through rows
# Horizontal and vertical counters for evaluation
for horizontal_counter in range(
var["coord_upper_left"]["x"], (var["coord_upper_right"]["x"] + 1)
):
for vertical_counter in range((i + 1), height):
# iteratively check rectangles using lower left tracker
# we hit a bound when we meet a '0' pixel or we hit the height
if bin_image[
vertical_counter, horizontal_counter
] == 0 and not (var["lower_left"]):
var["lower_left"] = True
var["coord_lower_left"]["x"] = horizontal_counter
var["coord_lower_left"]["y"] = vertical_counter - 1
# compute the area for this particular case
a = vertical_counter - var["coord_upper_left"]["y"]
# check to see if a larger area exists
# if so set rectangle coordinates
if a > area:
area = a
ymax = height - var["coord_upper_left"]["y"]
ymin = height - var["coord_lower_left"]["y"] - 1
xmax = var["coord_lower_left"]["x"] + 1
xmin = var["coord_lower_left"]["x"]
# No need to continue downward, we have our first vertical line
# so we break the vertical counter loop
break
# if we hit the bottom and we find no lower left bound
# we set a lower left coordinate to last element of the vertical line
if (
vertical_counter == height - 1
and bin_image[vertical_counter, horizontal_counter] == 1
and not (var["lower_left"])
):
var["lower_left"] = True
var["coord_lower_left"]["x"] = horizontal_counter
var["coord_lower_left"]["y"] = vertical_counter
# compute area and compare it
a = height - var["coord_upper_left"]["y"]
if a > area:
area = a
ymax = height - var["coord_upper_left"]["y"]
ymin = height - var["coord_lower_left"]["y"] - 1
xmax = var["coord_lower_left"]["x"] + 1
xmin = var["coord_lower_left"]["x"]
break
# lower left coordinate has already been set
# so we are basically checking vertical lines along our initial pixel line at the top
if (
bin_image[vertical_counter, horizontal_counter] == 0
and var["lower_left"]
):
if var["coord_lower_left"]["y"] < vertical_counter - 1:
# we went lower than the what had already ben set as a lower left bound
# so a new unhindered element has to be created
# UNHINDERED RECTANGLES are those that continue to grow horizontally without meeting an obstacle
# unhindered elements contain current lower left coordinates as well as upper left coordinates
# they will be used to evaluate unhindered rectangle that linger between lower and upper bounds (most disturbing cases)
len_unhindered = len(var["unhindered"])
# we do not want to make hindered rectangles unhindered so we have to check that they are not already set
already = False
for l in range(len_unhindered):
if (
var["unhindered"][l][0]
== var["coord_lower_left"]["y"]
):
already = True
if not (already):
var["unhindered"].append(
[
var["coord_lower_left"]["y"],
var["coord_lower_left"]["x"],
var["coord_upper_left"]["y"],
var["coord_upper_left"]["x"],
]
)
# we set new lower bounds and upper bounds accordingly
var["coord_lower_left"]["x"] = horizontal_counter
var["coord_lower_left"]["y"] = vertical_counter - 1
var["coord_upper_left"]["x"] = horizontal_counter
# upper counter "y" coordinate remains the same
# compute the area and compare it accordignly
a = vertical_counter - var["coord_upper_left"]["y"]
if a > area:
area = a
ymax = height - var["coord_upper_left"]["y"]
ymin = height - var["coord_lower_left"]["y"] - 1
xmax = horizontal_counter + 1
xmin = var["coord_upper_left"]["x"]
# Now we compute areas of above unhindered rectangles
# and compare their areas
length_unhindered = len(var["unhindered"])
for l in range(length_unhindered):
unhindered_area = compute_area(
(height - var["unhindered"][l][2]),
(height - var["unhindered"][l][0] - 1),
(horizontal_counter + 1),
var["unhindered"][l][1],
)
if unhindered_area > area:
area = unhindered_area
ymax = height - var["unhindered"][l][2]
ymin = height - var["unhindered"][l][0] - 1
xmax = horizontal_counter + 1
xmin = var["unhindered"][l][1]
break
# We remained higher than our lower left bound that we had set
# we therefore get rid of unhindered rectangles that do not need
# to be considered because they have become hindered
# new unhindered are also created
if var["coord_lower_left"]["y"] > (vertical_counter - 1):
# first insert a new unhindered element lower bound between current hindered elements
# correct particular exceptions
length_unhindered = len(var["unhindered"])
checked = False
added = False
for l in range(length_unhindered):
if var["unhindered"][l][0] < vertical_counter - 1:
checked = True
if var["unhindered"][l][0] > vertical_counter - 1:
var["unhindered"].insert(
l,
[
vertical_counter - 1,
var["unhindered"][l][1],
var["unhindered"][l][2],
var["unhindered"][l][3],
],
)
added = True
break
if checked and not (added):
var["unhindered"].append(
[
(vertical_counter - 1),
(var["coord_lower_left"]["x"]),
var["coord_upper_left"]["y"],
var["coord_lower_left"]["x"],
]
)
# now get rid of hindered elements
length_unhindered = len(var["unhindered"])
if length_unhindered != 0:
indices = []
for l in range(length_unhindered):
if var["unhindered"][l][0] > (
vertical_counter - 1
):
indices.append(l)
indices.reverse()
for indice in indices:
var["unhindered"].pop(indice)
# compute remaining areas
# first check to see if there were indeed unhidered elements previously created
# compute and compare their areas
if length_unhindered != 0:
length_unhindered = len(var["unhindered"])
var["coord_lower_left"]["y"] = vertical_counter - 1
var["coord_lower_left"]["x"] = (
var["unhindered"][length_unhindered - 1][1] + 1
)
for l in range(length_unhindered):
unhindered_area = compute_area(
(height - var["unhindered"][l][2]),
(height - var["unhindered"][l][0] - 1),
(horizontal_counter + 1),
var["unhindered"][l][1],
)
if unhindered_area > area:
area = unhindered_area
ymax = height - var["unhindered"][l][2]
ymin = height - var["unhindered"][l][0] - 1
xmax = horizontal_counter + 1
xmin = var["unhindered"][l][1]
if length_unhindered == 0:
var["coord_lower_left"]["y"] = vertical_counter - 1
# compute one area
a = compute_area(
(height - var["coord_upper_left"]["y"]),
(height - var["coord_lower_left"]["y"] - 1),
(horizontal_counter + 1),
(var["coord_lower_left"]["x"]),
)
if a > area:
area = a
ymax = height - var["coord_upper_left"]["y"]
ymin = height - var["coord_lower_left"]["y"] - 1
xmax = horizontal_counter + 1
xmin = var["coord_lower_left"]["x"]
break
# if we stay at the same lower bound
if (
var["coord_lower_left"]["y"] == (vertical_counter - 1)
) or (
var["coord_lower_left"]["y"] == vertical_counter
and vertical_counter == height - 1
):
# compute and compare
a = compute_area(
(height - var["coord_upper_left"]["y"]),
(height - var["coord_lower_left"]["y"] - 1),
(horizontal_counter + 1),
(var["coord_lower_left"]["x"]),
)
if a > area:
area = a
ymax = height - var["coord_upper_left"]["y"]
ymin = height - var["coord_lower_left"]["y"] - 1
xmax = horizontal_counter + 1
xmin = var["coord_lower_left"]["x"]
# check unhindered elements
length_unhindered = len(var["unhindered"])
for l in range(length_unhindered):
unhindered_area = compute_area(
(height - var["unhindered"][l][2]),
(height - var["unhindered"][l][0] - 1),
(horizontal_counter + 1),
var["unhindered"][l][1],
)
if unhindered_area > area:
area = unhindered_area
ymax = height - var["unhindered"][l][2]
ymin = height - var["unhindered"][l][0] - 1
xmax = horizontal_counter + 1
xmin = var["unhindered"][l][1]
break
break
# Special case where we hit the bottom
if (
bin_image[vertical_counter, horizontal_counter] == 1
and var["lower_left"]
and vertical_counter == (height - 1)
):
if var["coord_lower_left"]["y"] < vertical_counter:
# we went lower than the what had already ben set as a lower left bound
# so a new unhindered element has to be created
# unhindered elements contain current lower left coordinates as well as upper left coordinates
# they will be used to evaluate unhindered rectangle that linger between lower and upper bounds (most disturbing cases)
len_unhindered = len(var["unhindered"])
already = False
for l in range(len_unhindered):
if (
var["unhindered"][l][0]
== var["coord_lower_left"]["y"]
):
already = True
if not (already):
var["unhindered"].append(
[
var["coord_lower_left"]["y"],
var["coord_lower_left"]["x"],
var["coord_upper_left"]["y"],
var["coord_upper_left"]["x"],
]
)
# we set new lower bounds and upper bounds accordingly
var["coord_lower_left"]["x"] = horizontal_counter
var["coord_lower_left"]["y"] = vertical_counter
var["coord_upper_left"]["x"] = horizontal_counter
# upper counter "y" coordinate remains the same
# compute the area and compare it accordignly
a = height - var["coord_upper_left"]["y"]
if a > area:
area = a
ymax = height - var["coord_upper_left"]["y"]
ymin = height - var["coord_lower_left"]["y"] - 1
xmax = horizontal_counter + 1
xmin = var["coord_upper_left"]["x"]
# Now we compute areas of above unhindered rectangles
# and compare their areas
length_unhindered = len(var["unhindered"])
for l in range(length_unhindered):
unhindered_area = compute_area(
(height - var["unhindered"][l][2]),
(height - var["unhindered"][l][0] - 1),
(horizontal_counter + 1),
var["unhindered"][l][1],
)
if unhindered_area > area:
area = unhindered_area
ymax = height - var["unhindered"][l][2]
ymin = height - var["unhindered"][l][0] - 1
xmax = horizontal_counter + 1
xmin = var["unhindered"][l][1]
break
# We remained higher than our lower left bound that we had set
# we therefore get rid of unhindered elements (rectangles) that do not need
# to be considered because they have become hindered
if var["coord_lower_left"]["y"] > (vertical_counter):
# first insert a new unhindered element lower bound between current hindered elements
length_unhindered = len(var["unhindered"])
for l in range(length_unhindered):
if var["unhindered"][l][0] > vertical_counter - 1:
var["unhindered"].insert(
l,
[
vertical_counter - 1,
var["unhindered"][l][1],
var["unhindered"][l][2],
var["unhindered"][l][3],
],
)
break
# now get rid of hindered elements
length_unhindered = len(var["unhindered"])
if length_unhindered != 0:
indices = []
for l in range(length_unhindered):
if var["unhindered"][l][0] > (
vertical_counter - 1
):
indices.append(l)
indices.reverse()
for indice in indices:
var["unhindered"].pop(indice)
# compute remaining areas
# first check to see if there were indeed unhidered elements previously created
# compute and compare their areas
if length_unhindered != 0:
length_unhindered = len(var["unhindered"])
var["coord_lower_left"]["y"] = vertical_counter - 1
var["coord_lower_left"]["x"] = (
var["unhindered"][length_unhindered - 1][1] + 1
)
for l in range(length_unhindered):
unhindered_area = compute_area(
(height - var["unhindered"][l][2]),
(height - var["unhindered"][l][0] - 1),
(horizontal_counter + 1),
var["unhindered"][l][1],
)
if unhindered_area > area:
area = unhindered_area
ymax = height - var["unhindered"][l][2]
ymin = height - var["unhindered"][l][0] - 1
xmax = horizontal_counter + 1
xmin = var["unhindered"][l][1]
if length_unhindered == 0:
var["coord_lower_left"]["y"] = vertical_counter - 1
# compute one area
a = compute_area(
(height - var["coord_upper_left"]["y"]),
(height - var["coord_lower_left"]["y"] - 1),
(horizontal_counter + 1),
(var["coord_lower_left"]["x"]),
)
if a > area:
area = a
ymax = height - var["coord_upper_left"]["y"]
ymin = height - var["coord_lower_left"]["y"] - 1
xmax = horizontal_counter + 1
xmin = var["coord_lower_left"]["x"]
break
# if we stay at the same lower bound
if (
var["coord_lower_left"]["y"] == (vertical_counter - 1)
) or (
var["coord_lower_left"]["y"] == vertical_counter
and vertical_counter == height - 1
):
# compute and compare
a = compute_area(
(height - var["coord_upper_left"]["y"]),
(height - var["coord_lower_left"]["y"] - 1),
(horizontal_counter + 1),
(var["coord_lower_left"]["x"]),
)
if a > area:
area = a
ymax = height - var["coord_upper_left"]["y"]
ymin = height - var["coord_lower_left"]["y"] - 1
xmax = horizontal_counter + 1
xmin = var["coord_lower_left"]["x"]
# check unhindered elements
length_unhindered = len(var["unhindered"])
for l in range(length_unhindered):
unhindered_area = compute_area(
(height - var["unhindered"][l][2]),
(height - var["unhindered"][l][0] - 1),
(horizontal_counter + 1),
var["unhindered"][l][1],
)
if unhindered_area > area:
area = unhindered_area
ymax = height - var["unhindered"][l][2]
ymin = height - var["unhindered"][l][0] - 1
xmax = horizontal_counter + 1
xmin = var["unhindered"][l][1]
break
break
reset_variables(var)
results = [xmin, (height - ymax), (xmax - 1), (height - ymin - 1)]
return results
| 60.238095
| 151
| 0.360406
| 2,293
| 29,095
| 4.416485
| 0.095944
| 0.073467
| 0.071887
| 0.092327
| 0.78819
| 0.771798
| 0.766762
| 0.748395
| 0.72361
| 0.700899
| 0
| 0.013901
| 0.55989
| 29,095
| 482
| 152
| 60.363071
| 0.776962
| 0.128819
| 0
| 0.763021
| 0
| 0
| 0.102527
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.007813
| false
| 0
| 0.007813
| 0
| 0.020833
| 0.002604
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
7123441fe841ad5e84b0ed47891873d1bff4a693
| 5,973
|
py
|
Python
|
osc_bge/school/migrations/0005_auto_20181130_1342.py
|
jisuhan3201/osc-bge
|
125c441d23d7f1fdb2d9b8f42f859082e757e25a
|
[
"MIT"
] | null | null | null |
osc_bge/school/migrations/0005_auto_20181130_1342.py
|
jisuhan3201/osc-bge
|
125c441d23d7f1fdb2d9b8f42f859082e757e25a
|
[
"MIT"
] | 5
|
2020-06-05T19:49:47.000Z
|
2021-09-08T00:50:55.000Z
|
osc_bge/school/migrations/0005_auto_20181130_1342.py
|
jisuhan3201/osc-bge
|
125c441d23d7f1fdb2d9b8f42f859082e757e25a
|
[
"MIT"
] | null | null | null |
# Generated by Django 2.0.9 on 2018-11-30 13:42
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('school', '0004_auto_20181130_1342'),
('users', '0003_bgebranchcoordinator'),
('bge', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='school',
name='admission_coordi',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='admission_coordi', to='users.BgeBranchCoordinator'),
),
migrations.AddField(
model_name='school',
name='partnership',
field=models.BooleanField(default=False),
),
migrations.AddField(
model_name='school',
name='provider',
field=models.CharField(blank=True, choices=[('bge', 'BGE'), ('other_providers', 'Other-Provider')], max_length=80, null=True),
),
migrations.AddField(
model_name='school',
name='provider_branch',
field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to='bge.BgeBranch'),
),
migrations.AddField(
model_name='school',
name='religion',
field=models.CharField(blank=True, max_length=80, null=True),
),
migrations.AddField(
model_name='school',
name='school_coordi',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='school_coordi', to='users.BgeBranchCoordinator'),
),
migrations.AddField(
model_name='school',
name='web_url',
field=models.CharField(blank=True, max_length=140, null=True),
),
migrations.AddField(
model_name='secondary',
name='accept_12_grade',
field=models.BooleanField(default=False),
),
migrations.AddField(
model_name='secondary',
name='admission_documents',
field=models.TextField(blank=True, null=True),
),
migrations.AddField(
model_name='secondary',
name='admission_requirements',
field=models.TextField(blank=True, null=True),
),
migrations.AddField(
model_name='secondary',
name='application_fee',
field=models.IntegerField(blank=True, null=True),
),
migrations.AddField(
model_name='secondary',
name='avg_sat',
field=models.CharField(blank=True, max_length=80, null=True),
),
migrations.AddField(
model_name='secondary',
name='class_size',
field=models.CharField(blank=True, max_length=80, null=True),
),
migrations.AddField(
model_name='secondary',
name='college_acceptance_rate',
field=models.CharField(blank=True, max_length=80, null=True),
),
migrations.AddField(
model_name='secondary',
name='esl',
field=models.BooleanField(default=False),
),
migrations.AddField(
model_name='secondary',
name='facilities',
field=models.TextField(blank=True, null=True),
),
migrations.AddField(
model_name='secondary',
name='list_ap_courses',
field=models.TextField(blank=True, null=True),
),
migrations.AddField(
model_name='secondary',
name='list_honor_courses',
field=models.TextField(blank=True, null=True),
),
migrations.AddField(
model_name='secondary',
name='list_sports',
field=models.TextField(blank=True, null=True),
),
migrations.AddField(
model_name='secondary',
name='selling_point',
field=models.TextField(blank=True, null=True),
),
migrations.AddField(
model_name='secondary',
name='student_body',
field=models.CharField(blank=True, choices=[('boys', 'Boys'), ('girls', 'Girls'), ('coed', 'Coed')], max_length=80, null=True),
),
migrations.AddField(
model_name='secondary',
name='student_teach_ratio',
field=models.CharField(blank=True, max_length=80, null=True),
),
migrations.AddField(
model_name='secondary',
name='uniform',
field=models.BooleanField(default=False),
),
migrations.AlterField(
model_name='secondary',
name='number_ap_courses',
field=models.CharField(blank=True, max_length=80, null=True),
),
migrations.AlterField(
model_name='secondary',
name='number_clubs',
field=models.CharField(blank=True, max_length=80, null=True),
),
migrations.AlterField(
model_name='secondary',
name='number_honor_courses',
field=models.CharField(blank=True, max_length=80, null=True),
),
migrations.AlterField(
model_name='secondary',
name='number_sports',
field=models.CharField(blank=True, max_length=80, null=True),
),
migrations.AddField(
model_name='schooltypes',
name='school',
field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='school_type', to='school.School'),
),
migrations.AddField(
model_name='schoolphotos',
name='school',
field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='school_photo', to='school.School'),
),
]
| 36.87037
| 171
| 0.574753
| 581
| 5,973
| 5.748709
| 0.180723
| 0.078144
| 0.172156
| 0.202096
| 0.813772
| 0.813772
| 0.759581
| 0.720659
| 0.706287
| 0.683533
| 0
| 0.015767
| 0.29918
| 5,973
| 161
| 172
| 37.099379
| 0.782131
| 0.007534
| 0
| 0.690323
| 1
| 0
| 0.150861
| 0.024468
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.012903
| 0
| 0.032258
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
8536106b7264ff53eba9af733e8fa70015b25c6a
| 23,615
|
py
|
Python
|
src/blender/blender_autocomplete-master/2.92/bl_ui/properties_material_gpencil.py
|
JonasWard/ClayAdventures
|
a716445ac690e4792e70658319aa1d5299f9c9e9
|
[
"MIT"
] | 1
|
2020-03-25T10:55:10.000Z
|
2020-03-25T10:55:10.000Z
|
src/blender/blender_autocomplete-master/2.92/bl_ui/properties_material_gpencil.py
|
JonasWard/ClayAdventures
|
a716445ac690e4792e70658319aa1d5299f9c9e9
|
[
"MIT"
] | null | null | null |
src/blender/blender_autocomplete-master/2.92/bl_ui/properties_material_gpencil.py
|
JonasWard/ClayAdventures
|
a716445ac690e4792e70658319aa1d5299f9c9e9
|
[
"MIT"
] | null | null | null |
import sys
import typing
import bpy_types
import rna_prop_ui
import bl_ui.utils
import bl_ui.properties_grease_pencil_common
class GPENCIL_MT_material_context_menu(bpy_types.Menu, bpy_types._GenericUI):
bl_label = None
''' '''
bl_rna = None
''' '''
id_data = None
''' '''
def append(self, draw_func):
'''
'''
pass
def as_pointer(self):
'''
'''
pass
def bl_rna_get_subclass(self):
'''
'''
pass
def bl_rna_get_subclass_py(self):
'''
'''
pass
def draw(self, _context):
'''
'''
pass
def draw_collapsible(self, context, layout):
'''
'''
pass
def draw_preset(self, _context):
'''
'''
pass
def driver_add(self):
'''
'''
pass
def driver_remove(self):
'''
'''
pass
def get(self):
'''
'''
pass
def is_extended(self):
'''
'''
pass
def is_property_hidden(self):
'''
'''
pass
def is_property_overridable_library(self):
'''
'''
pass
def is_property_readonly(self):
'''
'''
pass
def is_property_set(self):
'''
'''
pass
def items(self):
'''
'''
pass
def keyframe_delete(self):
'''
'''
pass
def keyframe_insert(self):
'''
'''
pass
def keys(self):
'''
'''
pass
def path_from_id(self):
'''
'''
pass
def path_menu(self, searchpaths, operator, props_default, prop_filepath,
filter_ext, filter_path, display_name, add_operator):
'''
'''
pass
def path_resolve(self):
'''
'''
pass
def pop(self):
'''
'''
pass
def prepend(self, draw_func):
'''
'''
pass
def property_overridable_library_set(self):
'''
'''
pass
def property_unset(self):
'''
'''
pass
def remove(self, draw_func):
'''
'''
pass
def type_recast(self):
'''
'''
pass
def values(self):
'''
'''
pass
class GPENCIL_UL_matslots(bpy_types.UIList, bpy_types._GenericUI):
bl_rna = None
''' '''
id_data = None
''' '''
def append(self, draw_func):
'''
'''
pass
def as_pointer(self):
'''
'''
pass
def bl_rna_get_subclass(self):
'''
'''
pass
def bl_rna_get_subclass_py(self):
'''
'''
pass
def draw_item(self, _context, layout, _data, item, icon, _active_data,
_active_propname, _index):
'''
'''
pass
def driver_add(self):
'''
'''
pass
def driver_remove(self):
'''
'''
pass
def get(self):
'''
'''
pass
def is_extended(self):
'''
'''
pass
def is_property_hidden(self):
'''
'''
pass
def is_property_overridable_library(self):
'''
'''
pass
def is_property_readonly(self):
'''
'''
pass
def is_property_set(self):
'''
'''
pass
def items(self):
'''
'''
pass
def keyframe_delete(self):
'''
'''
pass
def keyframe_insert(self):
'''
'''
pass
def keys(self):
'''
'''
pass
def path_from_id(self):
'''
'''
pass
def path_resolve(self):
'''
'''
pass
def pop(self):
'''
'''
pass
def prepend(self, draw_func):
'''
'''
pass
def property_overridable_library_set(self):
'''
'''
pass
def property_unset(self):
'''
'''
pass
def remove(self, draw_func):
'''
'''
pass
def type_recast(self):
'''
'''
pass
def values(self):
'''
'''
pass
class GPMaterialButtonsPanel:
bl_context = None
''' '''
bl_region_type = None
''' '''
bl_space_type = None
''' '''
def poll(self, context):
'''
'''
pass
class MATERIAL_PT_gpencil_material_presets(
bl_ui.utils.PresetPanel, bpy_types.Panel, bpy_types._GenericUI):
bl_label = None
''' '''
bl_region_type = None
''' '''
bl_rna = None
''' '''
bl_space_type = None
''' '''
id_data = None
''' '''
preset_add_operator = None
''' '''
preset_operator = None
''' '''
preset_subdir = None
''' '''
def append(self, draw_func):
'''
'''
pass
def as_pointer(self):
'''
'''
pass
def bl_rna_get_subclass(self):
'''
'''
pass
def bl_rna_get_subclass_py(self):
'''
'''
pass
def draw(self, context):
'''
'''
pass
def draw_menu(self, layout, text):
'''
'''
pass
def draw_panel_header(self, layout):
'''
'''
pass
def driver_add(self):
'''
'''
pass
def driver_remove(self):
'''
'''
pass
def get(self):
'''
'''
pass
def is_extended(self):
'''
'''
pass
def is_property_hidden(self):
'''
'''
pass
def is_property_overridable_library(self):
'''
'''
pass
def is_property_readonly(self):
'''
'''
pass
def is_property_set(self):
'''
'''
pass
def items(self):
'''
'''
pass
def keyframe_delete(self):
'''
'''
pass
def keyframe_insert(self):
'''
'''
pass
def keys(self):
'''
'''
pass
def path_from_id(self):
'''
'''
pass
def path_menu(self, searchpaths, operator, props_default, prop_filepath,
filter_ext, filter_path, display_name, add_operator):
'''
'''
pass
def path_resolve(self):
'''
'''
pass
def pop(self):
'''
'''
pass
def prepend(self, draw_func):
'''
'''
pass
def property_overridable_library_set(self):
'''
'''
pass
def property_unset(self):
'''
'''
pass
def remove(self, draw_func):
'''
'''
pass
def type_recast(self):
'''
'''
pass
def values(self):
'''
'''
pass
class MATERIAL_PT_gpencil_slots(
bl_ui.properties_grease_pencil_common.GreasePencilMaterialsPanel,
bpy_types.Panel, bpy_types._GenericUI):
bl_context = None
''' '''
bl_label = None
''' '''
bl_options = None
''' '''
bl_region_type = None
''' '''
bl_rna = None
''' '''
bl_space_type = None
''' '''
id_data = None
''' '''
def append(self, draw_func):
'''
'''
pass
def as_pointer(self):
'''
'''
pass
def bl_rna_get_subclass(self):
'''
'''
pass
def bl_rna_get_subclass_py(self):
'''
'''
pass
def draw(self, context):
'''
'''
pass
def driver_add(self):
'''
'''
pass
def driver_remove(self):
'''
'''
pass
def get(self):
'''
'''
pass
def is_extended(self):
'''
'''
pass
def is_property_hidden(self):
'''
'''
pass
def is_property_overridable_library(self):
'''
'''
pass
def is_property_readonly(self):
'''
'''
pass
def is_property_set(self):
'''
'''
pass
def items(self):
'''
'''
pass
def keyframe_delete(self):
'''
'''
pass
def keyframe_insert(self):
'''
'''
pass
def keys(self):
'''
'''
pass
def path_from_id(self):
'''
'''
pass
def path_resolve(self):
'''
'''
pass
def poll(self, context):
'''
'''
pass
def pop(self):
'''
'''
pass
def prepend(self, draw_func):
'''
'''
pass
def property_overridable_library_set(self):
'''
'''
pass
def property_unset(self):
'''
'''
pass
def remove(self, draw_func):
'''
'''
pass
def type_recast(self):
'''
'''
pass
def values(self):
'''
'''
pass
class MATERIAL_PT_gpencil_custom_props(GPMaterialButtonsPanel,
rna_prop_ui.PropertyPanel,
bpy_types.Panel, bpy_types._GenericUI):
COMPAT_ENGINES = None
''' '''
bl_context = None
''' '''
bl_label = None
''' '''
bl_options = None
''' '''
bl_order = None
''' '''
bl_region_type = None
''' '''
bl_rna = None
''' '''
bl_space_type = None
''' '''
id_data = None
''' '''
def append(self, draw_func):
'''
'''
pass
def as_pointer(self):
'''
'''
pass
def bl_rna_get_subclass(self):
'''
'''
pass
def bl_rna_get_subclass_py(self):
'''
'''
pass
def draw(self, context):
'''
'''
pass
def driver_add(self):
'''
'''
pass
def driver_remove(self):
'''
'''
pass
def get(self):
'''
'''
pass
def is_extended(self):
'''
'''
pass
def is_property_hidden(self):
'''
'''
pass
def is_property_overridable_library(self):
'''
'''
pass
def is_property_readonly(self):
'''
'''
pass
def is_property_set(self):
'''
'''
pass
def items(self):
'''
'''
pass
def keyframe_delete(self):
'''
'''
pass
def keyframe_insert(self):
'''
'''
pass
def keys(self):
'''
'''
pass
def path_from_id(self):
'''
'''
pass
def path_resolve(self):
'''
'''
pass
def poll(self, context):
'''
'''
pass
def pop(self):
'''
'''
pass
def prepend(self, draw_func):
'''
'''
pass
def property_overridable_library_set(self):
'''
'''
pass
def property_unset(self):
'''
'''
pass
def remove(self, draw_func):
'''
'''
pass
def type_recast(self):
'''
'''
pass
def values(self):
'''
'''
pass
class MATERIAL_PT_gpencil_fillcolor(GPMaterialButtonsPanel, bpy_types.Panel,
bpy_types._GenericUI):
bl_context = None
''' '''
bl_label = None
''' '''
bl_parent_id = None
''' '''
bl_region_type = None
''' '''
bl_rna = None
''' '''
bl_space_type = None
''' '''
id_data = None
''' '''
def append(self, draw_func):
'''
'''
pass
def as_pointer(self):
'''
'''
pass
def bl_rna_get_subclass(self):
'''
'''
pass
def bl_rna_get_subclass_py(self):
'''
'''
pass
def draw(self, context):
'''
'''
pass
def draw_header(self, context):
'''
'''
pass
def driver_add(self):
'''
'''
pass
def driver_remove(self):
'''
'''
pass
def get(self):
'''
'''
pass
def is_extended(self):
'''
'''
pass
def is_property_hidden(self):
'''
'''
pass
def is_property_overridable_library(self):
'''
'''
pass
def is_property_readonly(self):
'''
'''
pass
def is_property_set(self):
'''
'''
pass
def items(self):
'''
'''
pass
def keyframe_delete(self):
'''
'''
pass
def keyframe_insert(self):
'''
'''
pass
def keys(self):
'''
'''
pass
def path_from_id(self):
'''
'''
pass
def path_resolve(self):
'''
'''
pass
def poll(self, context):
'''
'''
pass
def pop(self):
'''
'''
pass
def prepend(self, draw_func):
'''
'''
pass
def property_overridable_library_set(self):
'''
'''
pass
def property_unset(self):
'''
'''
pass
def remove(self, draw_func):
'''
'''
pass
def type_recast(self):
'''
'''
pass
def values(self):
'''
'''
pass
class MATERIAL_PT_gpencil_options(GPMaterialButtonsPanel, bpy_types.Panel,
bpy_types._GenericUI):
bl_context = None
''' '''
bl_label = None
''' '''
bl_options = None
''' '''
bl_region_type = None
''' '''
bl_rna = None
''' '''
bl_space_type = None
''' '''
id_data = None
''' '''
def append(self, draw_func):
'''
'''
pass
def as_pointer(self):
'''
'''
pass
def bl_rna_get_subclass(self):
'''
'''
pass
def bl_rna_get_subclass_py(self):
'''
'''
pass
def draw(self, context):
'''
'''
pass
def driver_add(self):
'''
'''
pass
def driver_remove(self):
'''
'''
pass
def get(self):
'''
'''
pass
def is_extended(self):
'''
'''
pass
def is_property_hidden(self):
'''
'''
pass
def is_property_overridable_library(self):
'''
'''
pass
def is_property_readonly(self):
'''
'''
pass
def is_property_set(self):
'''
'''
pass
def items(self):
'''
'''
pass
def keyframe_delete(self):
'''
'''
pass
def keyframe_insert(self):
'''
'''
pass
def keys(self):
'''
'''
pass
def path_from_id(self):
'''
'''
pass
def path_resolve(self):
'''
'''
pass
def poll(self, context):
'''
'''
pass
def pop(self):
'''
'''
pass
def prepend(self, draw_func):
'''
'''
pass
def property_overridable_library_set(self):
'''
'''
pass
def property_unset(self):
'''
'''
pass
def remove(self, draw_func):
'''
'''
pass
def type_recast(self):
'''
'''
pass
def values(self):
'''
'''
pass
class MATERIAL_PT_gpencil_preview(GPMaterialButtonsPanel, bpy_types.Panel,
bpy_types._GenericUI):
COMPAT_ENGINES = None
''' '''
bl_context = None
''' '''
bl_label = None
''' '''
bl_options = None
''' '''
bl_region_type = None
''' '''
bl_rna = None
''' '''
bl_space_type = None
''' '''
id_data = None
''' '''
def append(self, draw_func):
'''
'''
pass
def as_pointer(self):
'''
'''
pass
def bl_rna_get_subclass(self):
'''
'''
pass
def bl_rna_get_subclass_py(self):
'''
'''
pass
def draw(self, context):
'''
'''
pass
def driver_add(self):
'''
'''
pass
def driver_remove(self):
'''
'''
pass
def get(self):
'''
'''
pass
def is_extended(self):
'''
'''
pass
def is_property_hidden(self):
'''
'''
pass
def is_property_overridable_library(self):
'''
'''
pass
def is_property_readonly(self):
'''
'''
pass
def is_property_set(self):
'''
'''
pass
def items(self):
'''
'''
pass
def keyframe_delete(self):
'''
'''
pass
def keyframe_insert(self):
'''
'''
pass
def keys(self):
'''
'''
pass
def path_from_id(self):
'''
'''
pass
def path_resolve(self):
'''
'''
pass
def poll(self, context):
'''
'''
pass
def pop(self):
'''
'''
pass
def prepend(self, draw_func):
'''
'''
pass
def property_overridable_library_set(self):
'''
'''
pass
def property_unset(self):
'''
'''
pass
def remove(self, draw_func):
'''
'''
pass
def type_recast(self):
'''
'''
pass
def values(self):
'''
'''
pass
class MATERIAL_PT_gpencil_strokecolor(GPMaterialButtonsPanel, bpy_types.Panel,
bpy_types._GenericUI):
bl_context = None
''' '''
bl_label = None
''' '''
bl_parent_id = None
''' '''
bl_region_type = None
''' '''
bl_rna = None
''' '''
bl_space_type = None
''' '''
id_data = None
''' '''
def append(self, draw_func):
'''
'''
pass
def as_pointer(self):
'''
'''
pass
def bl_rna_get_subclass(self):
'''
'''
pass
def bl_rna_get_subclass_py(self):
'''
'''
pass
def draw(self, context):
'''
'''
pass
def draw_header(self, context):
'''
'''
pass
def driver_add(self):
'''
'''
pass
def driver_remove(self):
'''
'''
pass
def get(self):
'''
'''
pass
def is_extended(self):
'''
'''
pass
def is_property_hidden(self):
'''
'''
pass
def is_property_overridable_library(self):
'''
'''
pass
def is_property_readonly(self):
'''
'''
pass
def is_property_set(self):
'''
'''
pass
def items(self):
'''
'''
pass
def keyframe_delete(self):
'''
'''
pass
def keyframe_insert(self):
'''
'''
pass
def keys(self):
'''
'''
pass
def path_from_id(self):
'''
'''
pass
def path_resolve(self):
'''
'''
pass
def poll(self, context):
'''
'''
pass
def pop(self):
'''
'''
pass
def prepend(self, draw_func):
'''
'''
pass
def property_overridable_library_set(self):
'''
'''
pass
def property_unset(self):
'''
'''
pass
def remove(self, draw_func):
'''
'''
pass
def type_recast(self):
'''
'''
pass
def values(self):
'''
'''
pass
class MATERIAL_PT_gpencil_surface(GPMaterialButtonsPanel, bpy_types.Panel,
bpy_types._GenericUI):
bl_context = None
''' '''
bl_label = None
''' '''
bl_region_type = None
''' '''
bl_rna = None
''' '''
bl_space_type = None
''' '''
id_data = None
''' '''
def append(self, draw_func):
'''
'''
pass
def as_pointer(self):
'''
'''
pass
def bl_rna_get_subclass(self):
'''
'''
pass
def bl_rna_get_subclass_py(self):
'''
'''
pass
def draw(self, _context):
'''
'''
pass
def draw_header_preset(self, _context):
'''
'''
pass
def driver_add(self):
'''
'''
pass
def driver_remove(self):
'''
'''
pass
def get(self):
'''
'''
pass
def is_extended(self):
'''
'''
pass
def is_property_hidden(self):
'''
'''
pass
def is_property_overridable_library(self):
'''
'''
pass
def is_property_readonly(self):
'''
'''
pass
def is_property_set(self):
'''
'''
pass
def items(self):
'''
'''
pass
def keyframe_delete(self):
'''
'''
pass
def keyframe_insert(self):
'''
'''
pass
def keys(self):
'''
'''
pass
def path_from_id(self):
'''
'''
pass
def path_resolve(self):
'''
'''
pass
def poll(self, context):
'''
'''
pass
def pop(self):
'''
'''
pass
def prepend(self, draw_func):
'''
'''
pass
def property_overridable_library_set(self):
'''
'''
pass
def property_unset(self):
'''
'''
pass
def remove(self, draw_func):
'''
'''
pass
def type_recast(self):
'''
'''
pass
def values(self):
'''
'''
pass
| 12.396325
| 78
| 0.385687
| 1,923
| 23,615
| 4.460738
| 0.054602
| 0.217067
| 0.269294
| 0.075775
| 0.93425
| 0.927606
| 0.91758
| 0.908254
| 0.908254
| 0.908254
| 0
| 0
| 0.482236
| 23,615
| 1,904
| 79
| 12.402836
| 0.701562
| 0
| 0
| 0.952381
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.425499
| false
| 0.425499
| 0.009217
| 0
| 0.554531
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
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| 1
| 0
| 0
| 1
| 0
|
0
| 12
|
85a4aec1fcfc6d209e54db18eba3786578efb9e7
| 6,907
|
py
|
Python
|
apps/civic_pulse/tests/test_api.py
|
whoback/GovLens
|
bd17706ca824838b9284519e95e1f078771ef471
|
[
"MIT"
] | 1
|
2021-03-02T02:14:46.000Z
|
2021-03-02T02:14:46.000Z
|
apps/civic_pulse/tests/test_api.py
|
whoback/GovLens
|
bd17706ca824838b9284519e95e1f078771ef471
|
[
"MIT"
] | null | null | null |
apps/civic_pulse/tests/test_api.py
|
whoback/GovLens
|
bd17706ca824838b9284519e95e1f078771ef471
|
[
"MIT"
] | null | null | null |
import json
from django.test import TestCase
from rest_framework.authtoken.models import Token
from rest_framework.test import APIClient
from django.contrib.auth.models import User
from apps.civic_pulse.models import Agency,Entry
class AgencyAPITest(TestCase):
def setUp(self):
Agency.objects.create(
name='Test Agency 1'
)
Agency.objects.create(
name='Test Agency 2'
)
self.client = APIClient()
def test_GET(self):
response = self.client.get('/api/agencies/')
self.assertEqual(200, response.status_code)
agencies_json = json.loads(response.content.decode("utf-8"))
expected_results = [{
'id': 1,
'name': 'Test Agency 1',
'website': '',
'twitter': '',
'facebook': '',
'phone_number': '',
'address': '',
'description': '',
'last_successful_scrape': None,
'scrape_counter': 0
},{
'id': 2,
'name': 'Test Agency 2',
'website': '',
'twitter': '',
'facebook': '',
'phone_number': '',
'address': '',
'description': '',
'last_successful_scrape': None,
'scrape_counter': 0
}]
self.assertEqual(agencies_json,expected_results)
def test_GET_Individual(self):
response = self.client.get('/api/agencies/1/')
self.assertEqual(200, response.status_code)
agency_json = json.loads(response.content.decode("utf-8"))
expected_results = {
'id': 1,
'name': 'Test Agency 1',
'website': '',
'twitter': '',
'facebook': '',
'phone_number': '',
'address': '',
'description': '',
'last_successful_scrape': None,
'scrape_counter': 0
}
self.assertEqual(agency_json, expected_results)
def test_POST_Unauthorized(self):
data = {
'name': 'Test POST Agency'
}
response = self.client.post('/api/agencies/',data=data,format='json')
self.assertEqual(401,response.status_code)
json_response = json.loads(response.content.decode("utf-8"))
self.assertEqual("Authentication credentials were not provided.",json_response['detail'])
def test_POST_Authorized(self):
user = User.objects.create_user(username='test',email='test@test.test',password='test')
token = Token.objects.create(user=user)
data = {
'id': 5,
'name': 'Test POST Agency'
}
self.client.credentials(HTTP_AUTHORIZATION="Token " + token.key)
response = self.client.post('/api/agencies/', data=data, format='json')
self.assertEqual(201, response.status_code)
json_response = json.loads(response.content.decode("utf-8"))
expected_results = {
'id': 5,
'name': 'Test POST Agency',
'website': '',
'twitter': '',
'facebook': '',
'phone_number': '',
'address': '',
'description': '',
'last_successful_scrape': None,
'scrape_counter': 0
}
self.assertEqual(json_response, expected_results)
class EntryAPITest(TestCase):
def setUp(self):
self.agency = Agency.objects.create(
name='Test Agency 1',
id=1
)
Entry.objects.create(
agency_id=self.agency.id,
)
Entry.objects.create(
agency_id=self.agency.id,
https_enabled=True,
)
self.client = APIClient()
def test_GET(self):
response = self.client.get('/api/entries/')
self.assertEqual(200, response.status_code)
entries_json = json.loads(response.content.decode("utf-8"))
expected_results = [{
'id': 1,
'agency': 1,
'https_enabled': False,
'has_privacy_policy': False,
'mobile_friendly': False,
'good_performance': False,
'has_social_media': False,
'has_contact_info': False
}, {
'id': 2,
'agency': 1,
'https_enabled': True,
'has_privacy_policy': False,
'mobile_friendly': False,
'good_performance': False,
'has_social_media': False,
'has_contact_info': False
}]
self.assertEqual(entries_json,expected_results)
def test_GET_Individual(self):
response = self.client.get('/api/entries/1/')
self.assertEqual(200, response.status_code)
entry_json = json.loads(response.content.decode("utf-8"))
expected_results = {
'id': 1,
'agency': 1,
'https_enabled': False,
'has_privacy_policy': False,
'mobile_friendly': False,
'good_performance': False,
'has_social_media': False,
'has_contact_info': False
}
self.assertEqual(entry_json, expected_results)
def test_POST_Unauthorized(self):
data = {
'agency': 1,
'https_enabled': True,
'has_privacy_policy': False,
'mobile_friendly': False,
'good_performance': False,
'has_social_media': True,
'has_contact_info': False
}
response = self.client.post('/api/entries/',data=data,format='json')
self.assertEqual(401,response.status_code)
json_response = json.loads(response.content.decode("utf-8"))
self.assertEqual("Authentication credentials were not provided.",json_response['detail'])
def test_POST_Authorized(self):
user = User.objects.create_user(username='test',email='test@test.test',password='test')
token = Token.objects.create(user=user)
data = {
'agency': 1,
'https_enabled': True,
'has_privacy_policy': False,
'mobile_friendly': False,
'good_performance': False,
'has_social_media': True,
'has_contact_info': False
}
self.client.credentials(HTTP_AUTHORIZATION="Token " + token.key)
response = self.client.post('/api/entries/', data=data, format='json')
self.assertEqual(201, response.status_code)
json_response = json.loads(response.content.decode("utf-8"))
expected_results = {
'id': 3,
'agency': 1,
'https_enabled': True,
'has_privacy_policy': False,
'mobile_friendly': False,
'good_performance': False,
'has_social_media': True,
'has_contact_info': False
}
self.assertEqual(json_response, expected_results)
| 31.829493
| 97
| 0.551035
| 683
| 6,907
| 5.382138
| 0.144949
| 0.065288
| 0.039173
| 0.052231
| 0.893362
| 0.893362
| 0.836235
| 0.789445
| 0.76877
| 0.742655
| 0
| 0.012785
| 0.320544
| 6,907
| 216
| 98
| 31.976852
| 0.770509
| 0
| 0
| 0.774194
| 0
| 0
| 0.209353
| 0.012741
| 0
| 0
| 0
| 0
| 0.086022
| 1
| 0.053763
| false
| 0.010753
| 0.032258
| 0
| 0.096774
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
a46d53631ec3a4a3ce8b59845d3d4b120a4470ae
| 51,089
|
py
|
Python
|
pymatflow/elk/static.py
|
DeqiTang/pymatflow
|
bd8776feb40ecef0e6704ee898d9f42ded3b0186
|
[
"MIT"
] | 6
|
2020-03-06T16:13:08.000Z
|
2022-03-09T07:53:34.000Z
|
pymatflow/octopus/static.py
|
DeqiTang/pymatflow
|
bd8776feb40ecef0e6704ee898d9f42ded3b0186
|
[
"MIT"
] | 1
|
2021-10-02T02:23:08.000Z
|
2021-11-08T13:29:37.000Z
|
pymatflow/octopus/static.py
|
DeqiTang/pymatflow
|
bd8776feb40ecef0e6704ee898d9f42ded3b0186
|
[
"MIT"
] | 1
|
2021-07-10T16:28:14.000Z
|
2021-07-10T16:28:14.000Z
|
#!/usr/bin/env python
# _*_ coding: utf-8 _*_
import os
import sys
import copy
import shutil
from pymatflow.remote.server import server_handle
from pymatflow.octopus.octopus import octopus
"""
usage:
"""
class static_run(octopus):
"""
"""
def __init__(self):
super().__init__()
#self.inp.set_runtype(runtype="static")
self.magnetic_status = "spin-unpolarized" # "spin-polarized" "non-collinear"
def scf(self, directory="tmp-octopus-static", runopt="gen", auto=0):
"""
directory: a place for all the generated files
runopt:
gen -> generate a new calculation but do not run
run -> run a calculation on the previously generated files
genrun -> generate a calculation and run it
"""
if runopt == "gen" or runopt == "genrun":
if os.path.exists(directory):
shutil.rmtree(directory)
os.mkdir(directory)
#shutil.copyfile("POTCAR", os.path.join(directory, "POTCAR"))
os.system("cp %s %s/" % (self.inp[0].system.xyz.file, directory))
#with open(os.path.join(directory, "POSCAR"), 'w') as fout:
# self.poscar.to_poscar(fout)
# gen llhpc script
self.gen_llhpc(directory=directory, scriptname="static-scf.slurm", cmd="$PMF_OCTOPUS")
# gen pbs script
self.gen_pbs(directory=directory, cmd="$PMF_OCTOPUS", scriptname="static-scf.pbs", jobname=self.run_params["jobname"], nodes=self.run_params["nodes"], ppn=self.run_params["ppn"], queue=self.run_params["queue"])
# gen local bash script
self.gen_bash(directory=directory, mpi=self.run_params["mpi"], cmd="$PMF_OCTOPUS", scriptname="static-scf.sh")
# gen lsf_sz script
self.gen_lsf_sz(directory=directory, cmd="$PMF_OCTOPUS", scriptname="static-scf.lsf_sz", np=self.run_params["nodes"]*self.run_params["ppn"], np_per_node=self.run_params["ppn"])
if runopt == "run" or runopt == "genrun":
os.chdir(directory)
#os.system("vasp")
os.system("bash static-scf.sh")
os.chdir("../")
server_handle(auto=auto, directory=directory, jobfilebase="static-scf", server=self.run_params["server"])
def nscf(self, directory="tmp-octopus-static", runopt="gen", auto=0):
"""
directory: a place for all the generated files
runopt:
gen -> generate a new calculation but do not run
run -> run a calculation on the previously generated files
genrun -> generate a calculation and run it
"""
# first check whether there is a previous scf running
if not os.path.exists(directory):
print("===================================================\n")
print(" Warning !!!\n")
print("===================================================\n")
print("non-scf calculation:\n")
print(" directory of previous scf calculattion not found!\n")
sys.exit(1)
if runopt == "gen" or runopt == "genrun":
# gen llhpc script
self.gen_llhpc(directory=directory, scriptname="static-nscf.slurm", cmd="$PMF_OCTOPUS")
# gen pbs script
self.gen_pbs(directory=directory, cmd="$PMF_OCTOPUS", scriptname="static-nscf.pbs", jobname=self.run_params["jobname"], nodes=self.run_params["nodes"], ppn=self.run_params["ppn"])
# gen local bash script
self.gen_bash(directory=directory, mpi=self.run_params["mpi"], cmd="$PMF_OCTOPUS", scriptname="static-nscf.sh")
# gen lsf_sz script
self.gen_lsf_sz(directory=directory, cmd="$PMF_OCTOPUS", scriptname="static-nscf.lsf_sz", np=self.run_params["nodes"]*self.run_params["ppn"], np_per_node=self.run_params["ppn"])
if runopt == "run" or runopt == "genrun":
os.chdir(directory)
#os.system("vasp")
os.system("bash static-nscf.sh")
os.chdir("../")
server_handle(auto=auto, directory=directory, jobfilebase="static-nscf", server=self.run_params["server"])
def bands(self, directory="tmp-octopus-static", runopt="gen", auto=0):
"""
directory: a place for all the generated files
runopt:
gen -> generate a new calculation but do not run
run -> run a calculation on the previously generated files
genrun -> generate a calculation and run it
"""
self.set_params({
"Calculation Modes/CalculationMode": "unocc",
})
if not os.path.exists(directory):
print("===================================================\n")
print(" Warning !!!\n")
print("===================================================\n")
print("bands calculation:\n")
print(" directory of previous scf or nscf calculattion not found!\n")
sys.exit(1)
if runopt == "gen" or runopt == "genrun":
# gen llhpc script
self.gen_llhpc(directory=directory, scriptname="static-bands.slurm", cmd="$PMF_OCTOPUS")
# gen pbs script
self.gen_pbs(directory=directory, cmd="$PMF_OCTOPUS", scriptname="static-bands.pbs", jobname=self.run_params["jobname"], nodes=self.run_params["nodes"], ppn=self.run_params["ppn"])
# gen local bash script
self.gen_bash(directory=directory, cmd="%s %PMF_OCTOPUS" % self.run_params["mpi"], scriptname="static-bands.sh")
# gen lsf_sz script
self.gen_lsf_sz(directory=directory, cmd="$PMF_OCTOPUS", scriptname="static-bands.lsf_sz", np=self.run_params["nodes"]*self.run_params["ppn"], np_per_node=self.run_params["ppn"])
if runopt == "run" or runopt == "genrun":
os.chdir(directory)
#os.system("vasp")
os.system("bash static-bands.sh")
os.chdir("../")
server_handle(auto=auto, directory=directory, jobfilebase="static-bands", server=self.run_params["server"])
def converge_spacing(self, spacing_range=[], directory="tmp-octopus-encut", runopt="gen", auto=0, restart=0):
"""
spacing_range: [[spacing_x, spacing_y, spacing_z], [spacing_x, spacing_y, spacing_z],...]
"""
if runopt == "gen" or runopt == "genrun":
if os.path.exists(directory):
shutil.rmtree(directory)
os.mkdir(directory)
shutil.copyfile("POTCAR", os.path.join(directory, "POTCAR"))
os.system("cp %s %s/" % (self.poscar.xyz.file, directory))
os.chdir(directory)
n_test = int((emax - emin) / step)
for i in range(n_test + 1):
encut = int(emin + i * step)
os.mkdir("encut-%d" % encut)
self.incar.params['ENCUT'] = encut
with open(os.path.join("encut-%d" % encut, "INCAR"), 'w') as fout:
self.incar.to_incar(fout)
with open(os.path.join("encut-%d" % encut, "POSCAR"), 'w') as fout:
self.poscar.to_poscar(fout)
with open(os.path.join("encut-%d" % encut, "KPOINTS"), 'w') as fout:
self.kpoints.to_kpoints(fout)
shutil.copyfile("POTCAR", os.path.join("encut-%d" % encut, "POTCAR"))
# gen llhpc script
with open("converge-encut.slurm", 'w') as fout:
fout.write("#!/bin/bash\n")
fout.write("#SBATCH -p %s\n" % self.run_params["partition"])
fout.write("#SBATCH -N %d\n" % self.run_params["nodes"])
fout.write("#SBATCH -n %d\n" % self.run_params["ntask"])
fout.write("#SBATCH -J %s\n" % self.run_params["jobname"])
fout.write("#SBATCH -o %s\n" % self.run_params["stdout"])
fout.write("#SBATCH -e %s\n" % self.run_params["stderr"])
for i in range(n_test + 1):
encut = int(emin + i * step)
fout.write("cd ./encut-%d\n" % encut)
fout.write("yhrun $PMF_OCTOPUS\n")
fout.write("cd ../\n")
fout.write("\n")
# gen pbs running script
with open("converge-encut.pbs", 'w') as fout:
fout.write("#!/bin/bash\n")
fout.write("#PBS -N %s\n" % self.run_params["jobname"])
fout.write("#PBS -l nodes=%d:ppn=%d\n" % (self.run_params["nodes"], self.run_params["ppn"]))
if "queue" in self.run_params and self.run_params["queue"] != None:
fout.write("#PBS -q %s\n" %self.run_params["queue"])
fout.write("\n")
fout.write("cd $PBS_O_WORKDIR\n")
fout.write("NP=`cat $PBS_NODEFILE | wc -l`\n")
for i in range(n_test + 1):
encut = int(emin + i * step)
fout.write("cd ./encut-%d\n" % encut)
fout.write("mpirun -np $NP -machinefile $PBS_NODEFILE -genv I_MPI_FABRICS shm:tmi %s\n" % ("$PMF_OCTOPUS"))
fout.write("cd ../\n")
fout.write("\n")
os.chdir("../")
if runopt == "run" or runopt == "genrun":
# run the simulation
os.chdir(directory)
for i in range(n_test + 1):
encut = int(emin + i * step)
os.chdir("encut-%d" % encut)
os.system("%s vasp" % (self.run_params["mpi"]))
os.chdir("../")
os.chdir("../")
server_handle(auto=auto, directory=directory, jobfilebase="converge-encut", server=self.run_params["server"])
def converge_kpoints(self, kmin, kmax, step, directory="tmp-octopus-kpoints", runopt="gen", auto=0):
if runopt == "gen" or runopt == "genrun":
if os.path.exists(directory):
shutil.rmtree(directory)
os.mkdir(directory)
shutil.copyfile("POTCAR", os.path.join(directory, "POTCAR"))
os.system("cp %s %s/" % (self.poscar.xyz.file, directory))
os.chdir(directory)
n_test = int((kmax - kmin) / step)
for i in range(n_test + 1):
kpoints = int(kmin + i * step)
os.mkdir("kpoints-%d" % kpoints)
self.kpoints.set_kpoints(kpoints_mp=[kpoints, kpoints, kpoints, 0, 0, 0])
with open(os.path.join("kpoints-%d" % kpoints, "INCAR"), 'w') as fout:
self.incar.to_incar(fout)
with open(os.path.join("kpoints-%d" % kpoints, "POSCAR"), 'w') as fout:
self.poscar.to_poscar(fout)
with open(os.path.join("kpoints-%d" % kpoints, "KPOINTS"), 'w') as fout:
self.kpoints.to_kpoints(fout)
shutil.copyfile("POTCAR", os.path.join("kpoints-%d" % kpoints, "POTCAR"))
# gen llhpc script
with open("converge-kpoints.slurm", 'w') as fout:
fout.write("#!/bin/bash\n")
fout.write("#SBATCH -p %s\n" % self.run_params["partition"])
fout.write("#SBATCH -N %d\n" % self.run_params["nodes"])
fout.write("#SBATCH -n %d\n" % self.run_params["ntask"])
fout.write("#SBATCH -J %s\n" % self.run_params["jobname"])
fout.write("#SBATCH -o %s\n" % self.run_params["stdout"])
fout.write("#SBATCH -e %s\n" % self.run_params["stderr"])
for i in range(n_test + 1):
kpoints = int(kmin + i * step)
fout.write("cd ./kpoints-%d\n" % kpoints)
fout.write("yhrun $PMF_OCTOPUS\n")
fout.write("cd ../\n")
fout.write("\n")
# gen pbs running script
with open("converge-kpoints.pbs", 'w') as fout:
fout.write("#!/bin/bash\n")
fout.write("#PBS -N %s\n" % self.run_params["jobname"])
fout.write("#PBS -l nodes=%d:ppn=%d\n" % (self.run_params["nodes"], self.run_params["ppn"]))
if "queue" in self.run_params and self.run_params["queue"] != None:
fout.write("#PBS -q %s\n" %self.run_params["queue"])
fout.write("\n")
fout.write("cd $PBS_O_WORKDIR\n")
fout.write("NP=`cat $PBS_NODEFILE | wc -l`\n")
for i in range(n_test + 1):
kpoints = int(kmin + i * step)
fout.write("cd ./kpoints-%d\n" % kpoints)
fout.write("mpirun -np $NP -machinefile $PBS_NODEFILE -genv I_MPI_FABRICS shm:tmi %s\n" % ("$PMF_OCTOPUS"))
fout.write("cd ../\n")
fout.write("\n")
os.chdir("../")
if runopt == "run" or runopt == "genrun":
# run the simulation
os.chdir(directory)
for i in range(n_test + 1):
kpoints = int(kmin + i * step)
os.chdir("kpoints-%d" % kpoints)
os.system("%s vasp" % (self.run_params["mpi"]))
os.chdir("../")
os.chdir("../")
server_handle(auto=auto, directory=directory, jobfilebase="converge-kpoints", server=self.run_params["server"])
def converge_sigma(self, sigma_min, sigma_max, step, directory="tmp-octopus-sigma", runopt="gen", auto=0):
if runopt == "gen" or runopt == "genrun":
if os.path.exists(directory):
shutil.rmtree(directory)
os.mkdir(directory)
shutil.copyfile("POTCAR", os.path.join(directory, "POTCAR"))
os.system("cp %s %s/" % (self.poscar.xyz.file, directory))
os.chdir(directory)
n_test = int((sigma_max - sigma_min) / step)
for i in range(n_test + 1):
sigma = sigma_min + i * step
os.mkdir("sigma-%.6f" % sigma)
self.incar.electrons.params['SIGMA'] = sigma
with open(os.path.join("sigma-%.6f" % sigma, "INCAR"), "w") as fout:
self.incar.to_incar(fout)
with open(os.path.join("sigma-%.6f" % sigma, "POSCAR"), 'w') as fout:
self.poscar.to_poscar(fout)
with open(os.path.join("sigma-%.6f" % sigma, "KPOINTS"), 'w') as fout:
self.kpoints.to_kpoints(fout)
shutil.copyfile("POTCAR", os.path.join("sigma-%.6f" % sigma, "POTCAR"))
# gen llhpc running script
with open("converge-sigma.slurm", 'w') as fout:
fout.write("#!/bin/bash\n")
fout.write("#SBATCH -p %s\n" % self.run_params["partition"])
fout.write("#SBATCH -N %d\n" % self.run_params["nodes"])
fout.write("#SBATCH -n %d\n" % self.run_params["ntask"])
fout.write("#SBATCH -J %s\n" % self.run_params["jobname"])
fout.write("#SBATCH -o %s\n" % self.run_params["stdout"])
fout.write("#SBATCH -e %s\n" % self.run_params["stderr"])
for i in range(n_test + 1):
sigma = sigma_min + i * step
fout.write("cd ./sigma-%.6f\n" % sigma)
fout.write("yhrun %PMF_OCTOPUS\n")
fout.write("cd ../\n")
fout.write("\n")
# gen pbs running script
with open("converge-sigma.pbs", 'w') as fout:
fout.write("#!/bin/bash\n")
fout.write("#PBS -N %s\n" % (self.run_params["jobname"]))
fout.write("#PBS -l nodes=%d:ppn=%d\n" % (self.run_params["nodes"], self.run_params["ppn"]))
if "queue" in self.run_params and self.run_params["queue"] != None:
fout.write("#PBS -q %s\n" %self.run_params["queue"])
fout.write("\n")
fout.write("cd $PBS_O_WORKDIR\n")
fout.write("NP=`cat $PBS_NODEFILE | wc -l`\n")
for i in range(n_test + 1):
sigma = sigma_min + i * step
fout.write("cd ./sigma-%.6f\n" % sigma)
fout.write("mpirun -np $NP -machinefile $PBS_NODEFILE -genv I_MPI_FABRICS shm:tmi %s\n" % ("$PMF_OCTOPUS"))
fout.write("cd ../\n")
fout.write("\n")
os.chdir("../")
if runopt == "run" or runopt == "genrun":
# run the simulation
os.chdir(directory)
for i in range(n_test + 1):
sigma = sigma_min + i * step
os.chdir("sigma-%.6f" % sigma)
os.system("%s vasp" % (self.run_params["mpi"]))
os.chdir("../")
os.chdir("../")
server_handle(auto=auto, directory=directory, jobfilebase="converge-sigma", server=self.run_params["server"])
#
def set_scf(self, params):
pass
def band(self, directory="tmp-octopus-static", runopt="gen", auto=0, kpath=None):
"""
directory: a place for all the generated files
runopt:
gen -> generate a new calculation but do not run
run -> run a calculation on the previously generated files
genrun -> generate a calculation and run it
Note: scf nscf(bands) in a single run
"""
if runopt == "gen" or runopt == "genrun":
if os.path.exists(directory):
shutil.rmtree(directory)
os.mkdir(directory)
#shutil.copyfile("POTCAR", os.path.join(directory, "POTCAR"))
os.system("cp %s %s/" % (self.inp[0].system.xyz.file, directory))
# scf
self.inp[0].set_params({
"Calculation Modes/CalculationMode": "gs",
})
# nscf: bands
self.inp[1].set_params({
"Calculation Modes/CalculationMode": "unocc",
})
# gen llhpc script
with open(os.path.join(directory, "static.slurm"), 'w') as fout:
fout.write("#!/bin/bash\n")
fout.write("#SBATCH -p %s\n" % self.run_params["partition"])
fout.write("#SBATCH -N %d\n" % self.run_params["nodes"])
fout.write("#SBATCH -n %d\n" % self.run_params["ntask"])
fout.write("#SBATCH -J %s\n" % self.run_params["jobname"])
fout.write("#SBATCH -o %s\n" % self.run_params["stdout"])
fout.write("#SBATCH -e %s\n" % self.run_params["stderr"])
fout.write("#scf\n")
fout.write("cat >inp<<EOF\n")
fout.write(self.inp[0].to_string())
fout.write("EOF\n")
fout.write("yhrun $PMF_OCTOPUS > output.scf\n")
fout.write("# nscf\n")
fout.write("cat > inp<<EOF\n")
fout.write(self.inp[1].to_string())
fout.write("EOF\n")
fout.write("yhrun $PMF_OCTOPUS > output.nscf\n")
# gen pbs script
with open(os.path.join(directory, "static.pbs"), 'w') as fout:
fout.write("#!/bin/bash\n")
fout.write("#PBS -N %s\n" % self.run_params["jobname"])
fout.write("#PBS -l nodes=%d:ppn=%d\n" % (self.run_params["nodes"], self.run_params["ppn"]))
if "queue" in self.run_params and self.run_params["queue"] != None:
fout.write("#PBS -q %s\n" %self.run_params["queue"])
fout.write("\n")
fout.write("cd $PBS_O_WORKDIR\n")
fout.write("NP=`cat $PBS_NODEFILE | wc -l`\n")
fout.write("#scf\n")
fout.write("cat >inp<<EOF\n")
fout.write(self.inp[0].to_string())
fout.write("EOF\n")
fout.write("mpirun -np $NP -machinefile $PBS_NODEFILE $PMF_OCTOPUS > output.scf\n")
fout.write("# nscf\n")
fout.write("cat > inp<<EOF\n")
fout.write(self.inp[1].to_string())
fout.write("EOF\n")
fout.write("mpirun -np $NP -machinefile $PBS_NODEFILE $PMF_OCTOPUS > output.nscf\n")
# gen local bash script
with open(os.path.join(directory, "static.sh"), 'w') as fout:
fout.write("#!/bin/bash\n")
fout.write("#scf\n")
fout.write("cat >inp<<EOF\n")
fout.write(self.inp[0].to_string())
fout.write("EOF\n")
fout.write("%s $PMF_OCTOPUS > output.scf\n" % self.run_params["mpi"])
fout.write("# nscf\n")
fout.write("cat > inp<<EOF\n")
fout.write(self.inp[1].to_string())
fout.write("EOF\n")
fout.write("%s $PMF_OCTOPUS > output.nscf\n" % self.run_params["mpi"])
# gen lsf_sz script
with open(os.path.join(directory, "static.lsf_sz"), 'w') as fout:
fout.write("#!/bin/bash\n")
fout.write("APP_NAME=%s\n" % self.run_params["queue"])
fout.write("NP=%d\n" % (self.run_params["nodes"] * self.run_params["ppn"]))
fout.write("NP_PER_NODE=%d\n" % self.run_params["ppn"])
fout.write("RUN=\"RAW\"\n")
fout.write("CURDIR=$PWD\n")
fout.write("#VASP=/home-yg/Soft/Vasp5.4/vasp_std\n")
fout.write("source /home-yg/env/intel-12.1.sh\n")
fout.write("source /home-yg/env/openmpi-1.6.5-intel.sh\n")
fout.write("cd $CURDIR\n")
fout.write("# starting creating ./nodelist\n")
fout.write("rm -rf $CURDIR/nodelist >& /dev/null\n")
fout.write("for i in `echo $LSB_HOSTS`\n")
fout.write("do\n")
fout.write(" echo \"$i\" >> $CURDIR/nodelist \n")
fout.write("done\n")
fout.write("ndoelist=$(cat $CURDIR/nodelist | uniq | awk \'{print $1}\' | tr \'\n\' \',\')\n")
fout.write("#scf\n")
fout.write("cat >inp<<EOF\n")
fout.write(self.inp[0].to_string())
fout.write("EOF\n")
fout.write("mpirun -np $NP -machinefile $CURDIR/nodelist $PMF_OCTOPUS > output.scf\n")
fout.write("# nscf\n")
fout.write("cat > inp<<EOF\n")
fout.write(self.inp[1].to_string())
fout.write("EOF\n")
fout.write("mpirun -np $NP -machinefile $CURDIR/nodelist $PMF_OCTOPUS > output.nscf\n")
if runopt == "run" or runopt == "genrun":
os.chdir(directory)
os.system("bash static.sh")
os.chdir("../")
server_handle(auto=auto, directory=directory, jobfilebase="static", server=self.run_params["server"])
def dos(self, directory="tmp-octopus-static", runopt="gen", auto=0):
"""
directory: a place for all the generated files
runopt:
gen -> generate a new calculation but do not run
run -> run a calculation on the previously generated files
genrun -> generate a calculation and run it
Note: scf nscf(dos) in a single run
"""
"""
directory: a place for all the generated files
runopt:
gen -> generate a new calculation but do not run
run -> run a calculation on the previously generated files
genrun -> generate a calculation and run it
Note: scf nscf(bands) in a single run
"""
if runopt == "gen" or runopt == "genrun":
if os.path.exists(directory):
shutil.rmtree(directory)
os.mkdir(directory)
#shutil.copyfile("POTCAR", os.path.join(directory, "POTCAR"))
os.system("cp %s %s/" % (self.inp[0].system.xyz.file, directory))
# scf
self.inp[0].set_params({
"Calculation Modes/CalculationMode": "gs",
})
# nscf: bands
self.inp[1].set_params({
"Calculation Modes/CalculationMode": "unocc",
})
# gen llhpc script
with open(os.path.join(directory, "static.slurm"), 'w') as fout:
fout.write("#!/bin/bash\n")
fout.write("#SBATCH -p %s\n" % self.run_params["partition"])
fout.write("#SBATCH -N %d\n" % self.run_params["nodes"])
fout.write("#SBATCH -n %d\n" % self.run_params["ntask"])
fout.write("#SBATCH -J %s\n" % self.run_params["jobname"])
fout.write("#SBATCH -o %s\n" % self.run_params["stdout"])
fout.write("#SBATCH -e %s\n" % self.run_params["stderr"])
fout.write("#scf\n")
fout.write("cat >inp<<EOF\n")
fout.write(self.inp[0].to_string())
fout.write("EOF\n")
fout.write("yhrun $PMF_OCTOPUS > output.scf\n")
fout.write("# nscf\n")
fout.write("cat > inp<<EOF\n")
fout.write(self.inp[1].to_string())
fout.write("EOF\n")
fout.write("yhrun $PMF_OCTOPUS \n")
# gen pbs script
with open(os.path.join(directory, "static.pbs"), 'w') as fout:
fout.write("#!/bin/bash\n")
fout.write("#PBS -N %s\n" % self.run_params["jobname"])
fout.write("#PBS -l nodes=%d:ppn=%d\n" % (self.run_params["nodes"], self.run_params["ppn"]))
if "queue" in self.run_params and self.run_params["queue"] != None:
fout.write("#PBS -q %s\n" %self.run_params["queue"])
fout.write("\n")
fout.write("cd $PBS_O_WORKDIR\n")
fout.write("NP=`cat $PBS_NODEFILE | wc -l`\n")
fout.write("#scf\n")
fout.write("cat >inp<<EOF\n")
fout.write(self.inp[0].to_string())
fout.write("EOF\n")
fout.write("mpirun -np $NP -machinefile $PBS_NODEFILE $PMF_OCTOPUS > output.scf\n")
fout.write("# nscf\n")
fout.write("cat > inp<<EOF\n")
fout.write(self.inp[1].to_string())
fout.write("EOF\n")
fout.write("mpirun -np $NP -machinefile $PBS_NODEFILE $PMF_OCTOPUS > output.nscf\n")
# gen local bash script
with open(os.path.join(directory, "static.sh"), 'w') as fout:
fout.write("#!/bin/bash\n")
fout.write("#scf\n")
fout.write("cat >inp<<EOF\n")
fout.write(self.inp[0].to_string())
fout.write("EOF\n")
fout.write("%s $PMF_OCTOPUS > output.scf\n" % self.run_params["mpi"])
fout.write("# nscf\n")
fout.write("cat > inp<<EOF\n")
fout.write(self.inp[1].to_string())
fout.write("EOF\n")
fout.write("%s $PMF_OCTOPUS > output.nscf\n" % self.run_params["mpi"])
# gen lsf_sz script
with open(os.path.join(directory, "static.lsf_sz"), 'w') as fout:
fout.write("#!/bin/bash\n")
fout.write("APP_NAME=%s\n" % self.run_params["queue"])
fout.write("NP=%d\n" % (self.run_params["nodes"] * self.run_params["ppn"]))
fout.write("NP_PER_NODE=%d\n" % self.run_params["ppn"])
fout.write("RUN=\"RAW\"\n")
fout.write("CURDIR=$PWD\n")
fout.write("#VASP=/home-yg/Soft/Vasp5.4/vasp_std\n")
fout.write("source /home-yg/env/intel-12.1.sh\n")
fout.write("source /home-yg/env/openmpi-1.6.5-intel.sh\n")
fout.write("cd $CURDIR\n")
fout.write("# starting creating ./nodelist\n")
fout.write("rm -rf $CURDIR/nodelist >& /dev/null\n")
fout.write("for i in `echo $LSB_HOSTS`\n")
fout.write("do\n")
fout.write(" echo \"$i\" >> $CURDIR/nodelist \n")
fout.write("done\n")
fout.write("ndoelist=$(cat $CURDIR/nodelist | uniq | awk \'{print $1}\' | tr \'\n\' \',\')\n")
fout.write("#scf\n")
fout.write("cat >inp<<EOF\n")
fout.write(self.inp[0].to_string())
fout.write("EOF\n")
fout.write("mpirun -np $NP -machinefile $CURDIR/nodelist $PMF_OCTOPUS > output.scf\n")
fout.write("# nscf\n")
fout.write("cat > inp<<EOF\n")
fout.write(self.inp[1].to_string())
fout.write("EOF\n")
fout.write("mpirun -np $NP -machinefile $CURDIR/nodelist $PMF_OCTOPUS > output.nscf\n")
if runopt == "run" or runopt == "genrun":
os.chdir(directory)
os.system("bash static.sh")
os.chdir("../")
server_handle(auto=auto, directory=directory, jobfilebase="static", server=self.run_params["server"])
def optics(self, directory="tmp-octopus-static", runopt="gen", auto=0):
"""
directory: a place for all the generated files
runopt:
gen -> generate a new calculation but do not run
run -> run a calculation on the previously generated files
genrun -> generate a calculation and run it
Note: scf nscf(pdos, bands) in a single run
"""
"""
directory: a place for all the generated files
runopt:
gen -> generate a new calculation but do not run
run -> run a calculation on the previously generated files
genrun -> generate a calculation and run it
Note: scf nscf(bands) in a single run
"""
if runopt == "gen" or runopt == "genrun":
if os.path.exists(directory):
shutil.rmtree(directory)
os.mkdir(directory)
#shutil.copyfile("POTCAR", os.path.join(directory, "POTCAR"))
os.system("cp %s %s/" % (self.inp[0].system.xyz.file, directory))
# scf
self.inp[0].set_params({
"Calculation Modes/CalculationMode": "gs",
})
# nscf: bands
self.inp[1].set_params({
"Calculation Modes/CalculationMode": "unocc",
})
# gen llhpc script
with open(os.path.join(directory, "static.slurm"), 'w') as fout:
fout.write("#!/bin/bash\n")
fout.write("#SBATCH -p %s\n" % self.run_params["partition"])
fout.write("#SBATCH -N %d\n" % self.run_params["nodes"])
fout.write("#SBATCH -n %d\n" % self.run_params["ntask"])
fout.write("#SBATCH -J %s\n" % self.run_params["jobname"])
fout.write("#SBATCH -o %s\n" % self.run_params["stdout"])
fout.write("#SBATCH -e %s\n" % self.run_params["stderr"])
fout.write("#scf\n")
fout.write("cat >inp<<EOF\n")
fout.write(self.inp[0].to_string())
fout.write("EOF\n")
fout.write("yhrun $PMF_OCTOPUS > output.scf\n")
fout.write("# nscf\n")
fout.write("cat > inp<<EOF\n")
fout.write(self.inp[1].to_string())
fout.write("EOF\n")
fout.write("yhrun $PMF_OCTOPUS > output.nscf\n")
# gen pbs script
with open(os.path.join(directory, "static.pbs"), 'w') as fout:
fout.write("#!/bin/bash\n")
fout.write("#PBS -N %s\n" % self.run_params["jobname"])
fout.write("#PBS -l nodes=%d:ppn=%d\n" % (self.run_params["nodes"], self.run_params["ppn"]))
if "queue" in self.run_params and self.run_params["queue"] != None:
fout.write("#PBS -q %s\n" %self.run_params["queue"])
fout.write("\n")
fout.write("cd $PBS_O_WORKDIR\n")
fout.write("NP=`cat $PBS_NODEFILE | wc -l`\n")
fout.write("#scf\n")
fout.write("cat >inp<<EOF\n")
fout.write(self.inp[0].to_string())
fout.write("EOF\n")
fout.write("mpirun -np $NP -machinefile $PBS_NODEFILE $PMF_OCTOPUS > output.scf\n")
fout.write("# nscf\n")
fout.write("cat > inp<<EOF\n")
fout.write(self.inp[1].to_string())
fout.write("EOF\n")
fout.write("mpirun -np $NP -machinefile $PBS_NODEFILE $PMF_OCTOPUS > output.nscf\n")
# gen local bash script
with open(os.path.join(directory, "static.sh"), 'w') as fout:
fout.write("#!/bin/bash\n")
fout.write("#scf\n")
fout.write("cat >inp<<EOF\n")
fout.write(self.inp[0].to_string())
fout.write("EOF\n")
fout.write("%s $PMF_OCTOPUS > output.scf\n" % self.run_params["mpi"])
fout.write("# nscf\n")
fout.write("cat > inp<<EOF\n")
fout.write(self.inp[1].to_string())
fout.write("EOF\n")
fout.write("%s $PMF_OCTOPUS > output.nscf\n" % self.run_params["mpi"])
# gen lsf_sz script
with open(os.path.join(directory, "static.lsf_sz"), 'w') as fout:
fout.write("#!/bin/bash\n")
fout.write("APP_NAME=%s\n" % self.run_params["queue"])
fout.write("NP=%d\n" % (self.run_params["nodes"] * self.run_params["ppn"]))
fout.write("NP_PER_NODE=%d\n" % self.run_params["ppn"])
fout.write("RUN=\"RAW\"\n")
fout.write("CURDIR=$PWD\n")
fout.write("#VASP=/home-yg/Soft/Vasp5.4/vasp_std\n")
fout.write("source /home-yg/env/intel-12.1.sh\n")
fout.write("source /home-yg/env/openmpi-1.6.5-intel.sh\n")
fout.write("cd $CURDIR\n")
fout.write("# starting creating ./nodelist\n")
fout.write("rm -rf $CURDIR/nodelist >& /dev/null\n")
fout.write("for i in `echo $LSB_HOSTS`\n")
fout.write("do\n")
fout.write(" echo \"$i\" >> $CURDIR/nodelist \n")
fout.write("done\n")
fout.write("ndoelist=$(cat $CURDIR/nodelist | uniq | awk \'{print $1}\' | tr \'\n\' \',\')\n")
fout.write("#scf\n")
fout.write("cat >inp<<EOF\n")
fout.write(self.inp[0].to_string())
fout.write("EOF\n")
fout.write("mpirun -np $NP -machinefile $CURDIR/nodelist $PMF_OCTOPUS > outpu.scf\n")
fout.write("# nscf\n")
fout.write("cat > inp<<EOF\n")
fout.write(self.inp[1].to_string())
fout.write("EOF\n")
fout.write("mpirun -np $NP -machinefile $CURDIR/nodelist $PMF_OCTOPUS > output.nscf\n")
if runopt == "run" or runopt == "genrun":
os.chdir(directory)
os.system("bash static.sh")
os.chdir("../")
server_handle(auto=auto, directory=directory, jobfilebase="static", server=self.run_params["server"])
def bse(self, directory="tmp-octopus-static", runopt="gen", auto=0, bse_level=0, algo_gw="EVGW"):
"""
directory: a place for all the generated files
runopt:
gen -> generate a new calculation but do not run
run -> run a calculation on the previously generated files
genrun -> generate a calculation and run it
bse_level:
0 -> bse on standard DFT
1 -> bse on hybrid functional
2 -> bse on GW
Note:
Reference:
https://www.vasp.at/wiki/index.php/Practical_guide_to_GW_calculations
https://www.vasp.at/wiki/index.php/BSE_calculations
https://www.vasp.at/wiki/index.php/Dielectric_properties_of_Si_using_BSE
https://www.vasp.at/wiki/index.php/Plotting_the_BSE_fatband_structure_of_Si
https://www.vasp.at/wiki/index.php/Bandgap_of_Si_in_GW
https://www.vasp.at/wiki/index.php/Bandstructure_of_Si_in_GW_(VASP2WANNIER90)
https://www.vasp.at/wiki/index.php/Bandstructure_of_SrVO3_in_GW
https://www.vasp.at/wiki/index.php/Improving_the_dielectric_function
"""
"""
directory: a place for all the generated files
runopt:
gen -> generate a new calculation but do not run
run -> run a calculation on the previously generated files
genrun -> generate a calculation and run it
Note: scf nscf(bands) in a single run
"""
if runopt == "gen" or runopt == "genrun":
if os.path.exists(directory):
shutil.rmtree(directory)
os.mkdir(directory)
#shutil.copyfile("POTCAR", os.path.join(directory, "POTCAR"))
os.system("cp %s %s/" % (self.inp[0].system.xyz.file, directory))
# scf
self.inp[0].set_params({
"Calculation Modes/CalculationMode": "gs",
})
# nscf: bands
self.inp[1].set_params({
"Calculation Modes/CalculationMode": "unocc",
})
# gen llhpc script
with open(os.path.join(directory, "static.slurm"), 'w') as fout:
fout.write("#!/bin/bash\n")
fout.write("#SBATCH -p %s\n" % self.run_params["partition"])
fout.write("#SBATCH -N %d\n" % self.run_params["nodes"])
fout.write("#SBATCH -n %d\n" % self.run_params["ntask"])
fout.write("#SBATCH -J %s\n" % self.run_params["jobname"])
fout.write("#SBATCH -o %s\n" % self.run_params["stdout"])
fout.write("#SBATCH -e %s\n" % self.run_params["stderr"])
fout.write("#scf\n")
fout.write("cat >inp<<EOF\n")
fout.write(self.inp[0].to_string())
fout.write("EOF\n")
fout.write("yhrun $PMF_OCTOPUS > output.scf\n")
fout.write("# nscf\n")
fout.write("cat > inp<<EOF\n")
fout.write(self.inp[1].to_string())
fout.write("EOF\n")
fout.write("yhrun $PMF_OCTOPUS > output.nscf\n")
# gen pbs script
with open(os.path.join(directory, "static.pbs"), 'w') as fout:
fout.write("#!/bin/bash\n")
fout.write("#PBS -N %s\n" % self.run_params["jobname"])
fout.write("#PBS -l nodes=%d:ppn=%d\n" % (self.run_params["nodes"], self.run_params["ppn"]))
if "queue" in self.run_params and self.run_params["queue"] != None:
fout.write("#PBS -q %s\n" %self.run_params["queue"])
fout.write("\n")
fout.write("cd $PBS_O_WORKDIR\n")
fout.write("NP=`cat $PBS_NODEFILE | wc -l`\n")
fout.write("#scf\n")
fout.write("cat >inp<<EOF\n")
fout.write(self.inp[0].to_string())
fout.write("EOF\n")
fout.write("mpirun -np $NP -machinefile $PBS_NODEFILE $PMF_OCTOPUS > output.scf\n")
fout.write("# nscf\n")
fout.write("cat > inp<<EOF\n")
fout.write(self.inp[1].to_string())
fout.write("EOF\n")
fout.write("mpirun -np $NP -machinefile $PBS_NODEFILE $PMF_OCTOPUS > output.nscf\n")
# gen local bash script
with open(os.path.join(directory, "static.sh"), 'w') as fout:
fout.write("#!/bin/bash\n")
fout.write("#scf\n")
fout.write("cat >inp<<EOF\n")
fout.write(self.inp[0].to_string())
fout.write("EOF\n")
fout.write("%s $PMF_OCTOPUS > output.scf\n" % self.run_params["mpi"])
fout.write("# nscf\n")
fout.write("cat > inp<<EOF\n")
fout.write(self.inp[1].to_string())
fout.write("EOF\n")
fout.write("%s $PMF_OCTOPUS > output.nscf\n" % self.run_params["mpi"])
# gen lsf_sz script
with open(os.path.join(directory, "static.lsf_sz"), 'w') as fout:
fout.write("#!/bin/bash\n")
fout.write("APP_NAME=%s\n" % self.run_params["queue"])
fout.write("NP=%d\n" % (self.run_params["nodes"] * self.run_params["ppn"]))
fout.write("NP_PER_NODE=%d\n" % self.run_params["ppn"])
fout.write("RUN=\"RAW\"\n")
fout.write("CURDIR=$PWD\n")
fout.write("#VASP=/home-yg/Soft/Vasp5.4/vasp_std\n")
fout.write("source /home-yg/env/intel-12.1.sh\n")
fout.write("source /home-yg/env/openmpi-1.6.5-intel.sh\n")
fout.write("cd $CURDIR\n")
fout.write("# starting creating ./nodelist\n")
fout.write("rm -rf $CURDIR/nodelist >& /dev/null\n")
fout.write("for i in `echo $LSB_HOSTS`\n")
fout.write("do\n")
fout.write(" echo \"$i\" >> $CURDIR/nodelist \n")
fout.write("done\n")
fout.write("ndoelist=$(cat $CURDIR/nodelist | uniq | awk \'{print $1}\' | tr \'\n\' \',\')\n")
fout.write("#scf\n")
fout.write("cat >inp<<EOF\n")
fout.write(self.inp[0].to_string())
fout.write("EOF\n")
fout.write("mpirun -np $NP -machinefile $CURDIR/nodelist $PMF_OCTOPUS > output.scf\n")
fout.write("# nscf\n")
fout.write("cat > inp<<EOF\n")
fout.write(self.inp[1].to_string())
fout.write("EOF\n")
fout.write("mpirun -np $NP -machinefile $CURDIR/nodelist $PMF_OCTOPUS > output.nscf\n")
if runopt == "run" or runopt == "genrun":
os.chdir(directory)
os.system("bash static.sh")
os.chdir("../")
server_handle(auto=auto, directory=directory, jobfilebase="static", server=self.run_params["server"])
def stm(self, directory="tmp-octopus-static", runopt="gen", auto=0, hse_in_scf=True):
"""
directory: a place for all the generated files
hse_in_scf:
if HSE is used, choose whether to use HSE in both scf and nscf or only in nscf.
if HSE is not used, hse_in_scf will do nothing
runopt:
gen -> generate a new calculation but do not run
run -> run a calculation on the previously generated files
genrun -> generate a calculation and run it
Note: scf stm in a single run
"""
"""
directory: a place for all the generated files
runopt:
gen -> generate a new calculation but do not run
run -> run a calculation on the previously generated files
genrun -> generate a calculation and run it
Note: scf nscf(bands) in a single run
"""
if runopt == "gen" or runopt == "genrun":
if os.path.exists(directory):
shutil.rmtree(directory)
os.mkdir(directory)
#shutil.copyfile("POTCAR", os.path.join(directory, "POTCAR"))
os.system("cp %s %s/" % (self.inp[0].system.xyz.file, directory))
# scf
self.inp[0].set_params({
"Calculation Modes/CalculationMode": "gs",
})
# nscf: bands
self.inp[1].set_params({
"Calculation Modes/CalculationMode": "unocc",
})
# gen llhpc script
with open(os.path.join(directory, "static.slurm"), 'w') as fout:
fout.write("#!/bin/bash\n")
fout.write("#SBATCH -p %s\n" % self.run_params["partition"])
fout.write("#SBATCH -N %d\n" % self.run_params["nodes"])
fout.write("#SBATCH -n %d\n" % self.run_params["ntask"])
fout.write("#SBATCH -J %s\n" % self.run_params["jobname"])
fout.write("#SBATCH -o %s\n" % self.run_params["stdout"])
fout.write("#SBATCH -e %s\n" % self.run_params["stderr"])
fout.write("#scf\n")
fout.write("cat >inp<<EOF\n")
fout.write(self.inp[0].to_string())
fout.write("EOF\n")
fout.write("yhrun $PMF_OCTOPUS > output.scf\n")
fout.write("# nscf\n")
fout.write("cat > inp<<EOF\n")
fout.write(self.inp[1].to_string())
fout.write("EOF\n")
fout.write("yhrun $PMF_OCTOPUS > output.nscf\n")
# gen pbs script
with open(os.path.join(directory, "static.pbs"), 'w') as fout:
fout.write("#!/bin/bash\n")
fout.write("#PBS -N %s\n" % self.run_params["jobname"])
fout.write("#PBS -l nodes=%d:ppn=%d\n" % (self.run_params["nodes"], self.run_params["ppn"]))
if "queue" in self.run_params and self.run_params["queue"] != None:
fout.write("#PBS -q %s\n" %self.run_params["queue"])
fout.write("\n")
fout.write("cd $PBS_O_WORKDIR\n")
fout.write("NP=`cat $PBS_NODEFILE | wc -l`\n")
fout.write("#scf\n")
fout.write("cat >inp<<EOF\n")
fout.write(self.inp[0].to_string())
fout.write("EOF\n")
fout.write("mpirun -np $NP -machinefile $PBS_NODEFILE $PMF_OCTOPUS > output.scf\n")
fout.write("# nscf\n")
fout.write("cat > inp<<EOF\n")
fout.write(self.inp[1].to_string())
fout.write("EOF\n")
fout.write("mpirun -np $NP -machinefile $PBS_NODEFILE $PMF_OCTOPUS > output.nscf\n")
# gen local bash script
with open(os.path.join(directory, "static.sh"), 'w') as fout:
fout.write("#!/bin/bash\n")
fout.write("#scf\n")
fout.write("cat >inp<<EOF\n")
fout.write(self.inp[0].to_string())
fout.write("EOF\n")
fout.write("%s $PMF_OCTOPUS > output.scf\n" % self.run_params["mpi"])
fout.write("# nscf\n")
fout.write("cat > inp<<EOF\n")
fout.write(self.inp[1].to_string())
fout.write("EOF\n")
fout.write("%s $PMF_OCTOPUS > output.nscf\n" % self.run_params["mpi"])
# gen lsf_sz script
with open(os.path.join(directory, "static.lsf_sz"), 'w') as fout:
fout.write("#!/bin/bash\n")
fout.write("APP_NAME=%s\n" % self.run_params["queue"])
fout.write("NP=%d\n" % (self.run_params["nodes"] * self.run_params["ppn"]))
fout.write("NP_PER_NODE=%d\n" % self.run_params["ppn"])
fout.write("RUN=\"RAW\"\n")
fout.write("CURDIR=$PWD\n")
fout.write("#VASP=/home-yg/Soft/Vasp5.4/vasp_std\n")
fout.write("source /home-yg/env/intel-12.1.sh\n")
fout.write("source /home-yg/env/openmpi-1.6.5-intel.sh\n")
fout.write("cd $CURDIR\n")
fout.write("# starting creating ./nodelist\n")
fout.write("rm -rf $CURDIR/nodelist >& /dev/null\n")
fout.write("for i in `echo $LSB_HOSTS`\n")
fout.write("do\n")
fout.write(" echo \"$i\" >> $CURDIR/nodelist \n")
fout.write("done\n")
fout.write("ndoelist=$(cat $CURDIR/nodelist | uniq | awk \'{print $1}\' | tr \'\n\' \',\')\n")
fout.write("#scf\n")
fout.write("cat >inp<<EOF\n")
fout.write(self.inp[0].to_string())
fout.write("EOF\n")
fout.write("mpirun -np $NP -machinefile $CURDIR/nodelist $PMF_OCTOPUS > output.scf\n")
fout.write("# nscf\n")
fout.write("cat > inp<<EOF\n")
fout.write(self.inp[1].to_string())
fout.write("EOF\n")
fout.write("mpirun -np $NP -machinefile $CURDIR/nodelist $PMF_OCTOPUS > output.nscf\n")
if runopt == "run" or runopt == "genrun":
os.chdir(directory)
os.system("bash static.sh")
os.chdir("../")
server_handle(auto=auto, directory=directory, jobfilebase="static", server=self.run_params["server"])
| 48.517569
| 223
| 0.491534
| 6,109
| 51,089
| 4.030283
| 0.043542
| 0.155721
| 0.103976
| 0.055156
| 0.944925
| 0.943747
| 0.93205
| 0.918403
| 0.908574
| 0.894115
| 0
| 0.00444
| 0.351915
| 51,089
| 1,053
| 224
| 48.517569
| 0.739172
| 0.086007
| 0
| 0.884993
| 0
| 0.014025
| 0.252642
| 0.022469
| 0
| 0
| 0
| 0
| 0
| 1
| 0.018233
| false
| 0.001403
| 0.008415
| 0
| 0.02805
| 0.021038
| 0
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| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
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| 1
| 0
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| null | 0
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| 0
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| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
a47ac5a2619464814892dc0a545947165bb24a56
| 2,770
|
py
|
Python
|
dataset.py
|
Khamies/T5-Fine-tune-Wikihow-XSum
|
fa83b6389f0b03a3ba365937531479c0d526f54c
|
[
"MIT"
] | null | null | null |
dataset.py
|
Khamies/T5-Fine-tune-Wikihow-XSum
|
fa83b6389f0b03a3ba365937531479c0d526f54c
|
[
"MIT"
] | null | null | null |
dataset.py
|
Khamies/T5-Fine-tune-Wikihow-XSum
|
fa83b6389f0b03a3ba365937531479c0d526f54c
|
[
"MIT"
] | null | null | null |
from typing import Tuple
import torch
import datasets
from transformers import T5Tokenizer
# Wikihow
class Wikihow_Dataset(torch.utils.data.Dataset):
def __init__(self, path, split, source_length, target_length) -> None:
super().__init__()
self.dataset = datasets.load_dataset("wikihow", "all", data_dir=path, split=split)
self.tokenizer = T5Tokenizer.from_pretrained('t5-small')
self.source_length = source_length
self.target_length = target_length
def __len__(self) -> int:
return self.dataset.shape[0]
def process_example(self, example):
source = example['text']
target = example['headline']
source_tuple = self.tokenizer.batch_encode_plus([source,], padding= 'max_length', max_length= self.source_length, truncation = True , return_tensors = "pt")
target_tuple = self.tokenizer.batch_encode_plus([target,], padding= 'max_length', max_length = self.target_length, truncation = True, return_tensors = "pt")
return (source_tuple, target_tuple)
def __getitem__(self, index) -> Tuple:
example = self.dataset[index]
source_tuple, target_tuple = self.process_example(example)
source = source_tuple["input_ids"]
source_mask = source_tuple["attention_mask"]
target = target_tuple["input_ids"]
target_mask = target_tuple["attention_mask"]
return {"source": source, "source_mask": source_mask, "target": target, "target_mask": target_mask}
# Xsum Dataset
class Xsum_Dataset(torch.utils.data.Dataset):
def __init__(self, split, source_length, target_length) -> None:
super().__init__()
self.dataset = datasets.load_dataset("xsum", split=split)
self.tokenizer = T5Tokenizer.from_pretrained('t5-small')
self.source_length = source_length
self.target_length = target_length
def __len__(self) -> int:
return self.dataset.shape[0]
def process_example(self, example):
source = example['document']
target = example['summary']
source_tuple = self.tokenizer.batch_encode_plus([source,], padding= 'max_length', max_length= self.source_length, truncation = True , return_tensors = "pt")
target_tuple = self.tokenizer.batch_encode_plus([target,], padding= 'max_length', max_length = self.target_length, truncation = True, return_tensors = "pt")
return (source_tuple, target_tuple)
def __getitem__(self, index) -> Tuple:
example = self.dataset[index]
source_tuple, target_tuple = self.process_example(example)
source = source_tuple["input_ids"]
source_mask = source_tuple["attention_mask"]
target = target_tuple["input_ids"]
target_mask = target_tuple["attention_mask"]
return {"source": source, "source_mask": source_mask, "target": target, "target_mask": target_mask}
| 33.373494
| 160
| 0.720939
| 344
| 2,770
| 5.459302
| 0.165698
| 0.058573
| 0.038339
| 0.046858
| 0.893504
| 0.893504
| 0.893504
| 0.893504
| 0.85197
| 0.85197
| 0
| 0.003011
| 0.16065
| 2,770
| 83
| 161
| 33.373494
| 0.804731
| 0.007581
| 0
| 0.72
| 0
| 0
| 0.096469
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.16
| false
| 0
| 0.08
| 0.04
| 0.4
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
f10bb38228e0c7341403e288f7b48a3f3faa8499
| 180
|
py
|
Python
|
qd3dt/core/track/__init__.py
|
mengmengliu1998/qd-3dt
|
9fcd1c0b165793e259deb46a64fcbbdc33735f2f
|
[
"BSD-3-Clause"
] | 384
|
2021-03-19T11:12:31.000Z
|
2022-03-31T01:59:16.000Z
|
qd3dt/core/track/__init__.py
|
mengmengliu1998/qd-3dt
|
9fcd1c0b165793e259deb46a64fcbbdc33735f2f
|
[
"BSD-3-Clause"
] | 22
|
2021-04-06T14:28:12.000Z
|
2022-03-22T18:02:00.000Z
|
qd3dt/core/track/__init__.py
|
mengmengliu1998/qd-3dt
|
9fcd1c0b165793e259deb46a64fcbbdc33735f2f
|
[
"BSD-3-Clause"
] | 73
|
2021-03-20T06:23:26.000Z
|
2022-03-16T08:00:21.000Z
|
from .transforms import track2results, results2track, max_matching
from .match import get_similarity
__all__ = ['track2results', 'results2track', 'max_matching', 'get_similarity']
| 45
| 78
| 0.811111
| 19
| 180
| 7.263158
| 0.578947
| 0.376812
| 0.42029
| 0.536232
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.02439
| 0.088889
| 180
| 3
| 79
| 60
| 0.817073
| 0
| 0
| 0
| 0
| 0
| 0.288889
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
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| 0
| 0
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
2d091da7b9d6f4d3f0d45ac83f70052dbaf0c9e7
| 377
|
py
|
Python
|
app/admin/views.py
|
KaijianYou/papaya
|
729d81ae0b7b02338690442029a1bdb512f4d161
|
[
"CNRI-Python"
] | null | null | null |
app/admin/views.py
|
KaijianYou/papaya
|
729d81ae0b7b02338690442029a1bdb512f4d161
|
[
"CNRI-Python"
] | null | null | null |
app/admin/views.py
|
KaijianYou/papaya
|
729d81ae0b7b02338690442029a1bdb512f4d161
|
[
"CNRI-Python"
] | null | null | null |
from flask import render_template
from app.admin import admin
@admin.route('/')
def index():
return render_template('admin/index.html')
@admin.route('/operation-logs')
def operation_log_list():
return render_template('admin/operation_log_list.html')
@admin.route('/database-backups')
def db_backup_list():
return render_template('admin/db_backup_list.html')
| 19.842105
| 59
| 0.753316
| 52
| 377
| 5.230769
| 0.384615
| 0.205882
| 0.220588
| 0.275735
| 0.213235
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.111406
| 377
| 18
| 60
| 20.944444
| 0.81194
| 0
| 0
| 0
| 0
| 0
| 0.27321
| 0.143236
| 0
| 0
| 0
| 0
| 0
| 1
| 0.272727
| true
| 0
| 0.181818
| 0.272727
| 0.727273
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 1
| 0
|
0
| 7
|
2d21e7147744fc1764b667976dad3e218dd44804
| 27,034
|
py
|
Python
|
sdk/python/pulumi_aws/redshift/scheduled_action.py
|
rapzo/pulumi-aws
|
390a098221315d98a54ba97d1559e750dc3053b7
|
[
"ECL-2.0",
"Apache-2.0"
] | 260
|
2018-06-18T14:57:00.000Z
|
2022-03-29T11:41:03.000Z
|
sdk/python/pulumi_aws/redshift/scheduled_action.py
|
rapzo/pulumi-aws
|
390a098221315d98a54ba97d1559e750dc3053b7
|
[
"ECL-2.0",
"Apache-2.0"
] | 1,154
|
2018-06-19T20:38:20.000Z
|
2022-03-31T19:48:16.000Z
|
sdk/python/pulumi_aws/redshift/scheduled_action.py
|
rapzo/pulumi-aws
|
390a098221315d98a54ba97d1559e750dc3053b7
|
[
"ECL-2.0",
"Apache-2.0"
] | 115
|
2018-06-28T03:20:27.000Z
|
2022-03-29T11:41:06.000Z
|
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
from . import outputs
from ._inputs import *
__all__ = ['ScheduledActionArgs', 'ScheduledAction']
@pulumi.input_type
class ScheduledActionArgs:
def __init__(__self__, *,
iam_role: pulumi.Input[str],
schedule: pulumi.Input[str],
target_action: pulumi.Input['ScheduledActionTargetActionArgs'],
description: Optional[pulumi.Input[str]] = None,
enable: Optional[pulumi.Input[bool]] = None,
end_time: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
start_time: Optional[pulumi.Input[str]] = None):
"""
The set of arguments for constructing a ScheduledAction resource.
:param pulumi.Input[str] iam_role: The IAM role to assume to run the scheduled action.
:param pulumi.Input[str] schedule: The schedule of action. The schedule is defined format of "at expression" or "cron expression", for example `at(2016-03-04T17:27:00)` or `cron(0 10 ? * MON *)`. See [Scheduled Action](https://docs.aws.amazon.com/redshift/latest/APIReference/API_ScheduledAction.html) for more information.
:param pulumi.Input['ScheduledActionTargetActionArgs'] target_action: Target action. Documented below.
:param pulumi.Input[str] description: The description of the scheduled action.
:param pulumi.Input[bool] enable: Whether to enable the scheduled action. Default is `true` .
:param pulumi.Input[str] end_time: The end time in UTC when the schedule is active, in UTC RFC3339 format(for example, YYYY-MM-DDTHH:MM:SSZ).
:param pulumi.Input[str] name: The scheduled action name.
:param pulumi.Input[str] start_time: The start time in UTC when the schedule is active, in UTC RFC3339 format(for example, YYYY-MM-DDTHH:MM:SSZ).
"""
pulumi.set(__self__, "iam_role", iam_role)
pulumi.set(__self__, "schedule", schedule)
pulumi.set(__self__, "target_action", target_action)
if description is not None:
pulumi.set(__self__, "description", description)
if enable is not None:
pulumi.set(__self__, "enable", enable)
if end_time is not None:
pulumi.set(__self__, "end_time", end_time)
if name is not None:
pulumi.set(__self__, "name", name)
if start_time is not None:
pulumi.set(__self__, "start_time", start_time)
@property
@pulumi.getter(name="iamRole")
def iam_role(self) -> pulumi.Input[str]:
"""
The IAM role to assume to run the scheduled action.
"""
return pulumi.get(self, "iam_role")
@iam_role.setter
def iam_role(self, value: pulumi.Input[str]):
pulumi.set(self, "iam_role", value)
@property
@pulumi.getter
def schedule(self) -> pulumi.Input[str]:
"""
The schedule of action. The schedule is defined format of "at expression" or "cron expression", for example `at(2016-03-04T17:27:00)` or `cron(0 10 ? * MON *)`. See [Scheduled Action](https://docs.aws.amazon.com/redshift/latest/APIReference/API_ScheduledAction.html) for more information.
"""
return pulumi.get(self, "schedule")
@schedule.setter
def schedule(self, value: pulumi.Input[str]):
pulumi.set(self, "schedule", value)
@property
@pulumi.getter(name="targetAction")
def target_action(self) -> pulumi.Input['ScheduledActionTargetActionArgs']:
"""
Target action. Documented below.
"""
return pulumi.get(self, "target_action")
@target_action.setter
def target_action(self, value: pulumi.Input['ScheduledActionTargetActionArgs']):
pulumi.set(self, "target_action", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
"""
The description of the scheduled action.
"""
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@property
@pulumi.getter
def enable(self) -> Optional[pulumi.Input[bool]]:
"""
Whether to enable the scheduled action. Default is `true` .
"""
return pulumi.get(self, "enable")
@enable.setter
def enable(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "enable", value)
@property
@pulumi.getter(name="endTime")
def end_time(self) -> Optional[pulumi.Input[str]]:
"""
The end time in UTC when the schedule is active, in UTC RFC3339 format(for example, YYYY-MM-DDTHH:MM:SSZ).
"""
return pulumi.get(self, "end_time")
@end_time.setter
def end_time(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "end_time", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
The scheduled action name.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter(name="startTime")
def start_time(self) -> Optional[pulumi.Input[str]]:
"""
The start time in UTC when the schedule is active, in UTC RFC3339 format(for example, YYYY-MM-DDTHH:MM:SSZ).
"""
return pulumi.get(self, "start_time")
@start_time.setter
def start_time(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "start_time", value)
@pulumi.input_type
class _ScheduledActionState:
def __init__(__self__, *,
description: Optional[pulumi.Input[str]] = None,
enable: Optional[pulumi.Input[bool]] = None,
end_time: Optional[pulumi.Input[str]] = None,
iam_role: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
schedule: Optional[pulumi.Input[str]] = None,
start_time: Optional[pulumi.Input[str]] = None,
target_action: Optional[pulumi.Input['ScheduledActionTargetActionArgs']] = None):
"""
Input properties used for looking up and filtering ScheduledAction resources.
:param pulumi.Input[str] description: The description of the scheduled action.
:param pulumi.Input[bool] enable: Whether to enable the scheduled action. Default is `true` .
:param pulumi.Input[str] end_time: The end time in UTC when the schedule is active, in UTC RFC3339 format(for example, YYYY-MM-DDTHH:MM:SSZ).
:param pulumi.Input[str] iam_role: The IAM role to assume to run the scheduled action.
:param pulumi.Input[str] name: The scheduled action name.
:param pulumi.Input[str] schedule: The schedule of action. The schedule is defined format of "at expression" or "cron expression", for example `at(2016-03-04T17:27:00)` or `cron(0 10 ? * MON *)`. See [Scheduled Action](https://docs.aws.amazon.com/redshift/latest/APIReference/API_ScheduledAction.html) for more information.
:param pulumi.Input[str] start_time: The start time in UTC when the schedule is active, in UTC RFC3339 format(for example, YYYY-MM-DDTHH:MM:SSZ).
:param pulumi.Input['ScheduledActionTargetActionArgs'] target_action: Target action. Documented below.
"""
if description is not None:
pulumi.set(__self__, "description", description)
if enable is not None:
pulumi.set(__self__, "enable", enable)
if end_time is not None:
pulumi.set(__self__, "end_time", end_time)
if iam_role is not None:
pulumi.set(__self__, "iam_role", iam_role)
if name is not None:
pulumi.set(__self__, "name", name)
if schedule is not None:
pulumi.set(__self__, "schedule", schedule)
if start_time is not None:
pulumi.set(__self__, "start_time", start_time)
if target_action is not None:
pulumi.set(__self__, "target_action", target_action)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
"""
The description of the scheduled action.
"""
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@property
@pulumi.getter
def enable(self) -> Optional[pulumi.Input[bool]]:
"""
Whether to enable the scheduled action. Default is `true` .
"""
return pulumi.get(self, "enable")
@enable.setter
def enable(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "enable", value)
@property
@pulumi.getter(name="endTime")
def end_time(self) -> Optional[pulumi.Input[str]]:
"""
The end time in UTC when the schedule is active, in UTC RFC3339 format(for example, YYYY-MM-DDTHH:MM:SSZ).
"""
return pulumi.get(self, "end_time")
@end_time.setter
def end_time(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "end_time", value)
@property
@pulumi.getter(name="iamRole")
def iam_role(self) -> Optional[pulumi.Input[str]]:
"""
The IAM role to assume to run the scheduled action.
"""
return pulumi.get(self, "iam_role")
@iam_role.setter
def iam_role(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "iam_role", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
The scheduled action name.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter
def schedule(self) -> Optional[pulumi.Input[str]]:
"""
The schedule of action. The schedule is defined format of "at expression" or "cron expression", for example `at(2016-03-04T17:27:00)` or `cron(0 10 ? * MON *)`. See [Scheduled Action](https://docs.aws.amazon.com/redshift/latest/APIReference/API_ScheduledAction.html) for more information.
"""
return pulumi.get(self, "schedule")
@schedule.setter
def schedule(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "schedule", value)
@property
@pulumi.getter(name="startTime")
def start_time(self) -> Optional[pulumi.Input[str]]:
"""
The start time in UTC when the schedule is active, in UTC RFC3339 format(for example, YYYY-MM-DDTHH:MM:SSZ).
"""
return pulumi.get(self, "start_time")
@start_time.setter
def start_time(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "start_time", value)
@property
@pulumi.getter(name="targetAction")
def target_action(self) -> Optional[pulumi.Input['ScheduledActionTargetActionArgs']]:
"""
Target action. Documented below.
"""
return pulumi.get(self, "target_action")
@target_action.setter
def target_action(self, value: Optional[pulumi.Input['ScheduledActionTargetActionArgs']]):
pulumi.set(self, "target_action", value)
class ScheduledAction(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
description: Optional[pulumi.Input[str]] = None,
enable: Optional[pulumi.Input[bool]] = None,
end_time: Optional[pulumi.Input[str]] = None,
iam_role: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
schedule: Optional[pulumi.Input[str]] = None,
start_time: Optional[pulumi.Input[str]] = None,
target_action: Optional[pulumi.Input[pulumi.InputType['ScheduledActionTargetActionArgs']]] = None,
__props__=None):
"""
## Example Usage
### Pause Cluster Action
```python
import pulumi
import pulumi_aws as aws
example_role = aws.iam.Role("exampleRole", assume_role_policy=\"\"\"{
"Version": "2012-10-17",
"Statement": [
{
"Action": "sts:AssumeRole",
"Principal": {
"Service": [
"scheduler.redshift.amazonaws.com"
]
},
"Effect": "Allow",
"Sid": ""
}
]
}
\"\"\")
example_policy = aws.iam.Policy("examplePolicy", policy=\"\"\"{
"Version": "2012-10-17",
"Statement": [
{
"Sid": "VisualEditor0",
"Effect": "Allow",
"Action": [
"redshift:PauseCluster",
"redshift:ResumeCluster",
"redshift:ResizeCluster"
],
"Resource": "*"
}
]
}
\"\"\")
example_role_policy_attachment = aws.iam.RolePolicyAttachment("exampleRolePolicyAttachment",
policy_arn=example_policy.arn,
role=example_role.name)
example_scheduled_action = aws.redshift.ScheduledAction("exampleScheduledAction",
schedule="cron(00 23 * * ? *)",
iam_role=example_role.arn,
target_action=aws.redshift.ScheduledActionTargetActionArgs(
pause_cluster=aws.redshift.ScheduledActionTargetActionPauseClusterArgs(
cluster_identifier="tf-redshift001",
),
))
```
### Resize Cluster Action
```python
import pulumi
import pulumi_aws as aws
example = aws.redshift.ScheduledAction("example",
schedule="cron(00 23 * * ? *)",
iam_role=aws_iam_role["example"]["arn"],
target_action=aws.redshift.ScheduledActionTargetActionArgs(
resize_cluster=aws.redshift.ScheduledActionTargetActionResizeClusterArgs(
cluster_identifier="tf-redshift001",
cluster_type="multi-node",
node_type="dc1.large",
number_of_nodes=2,
),
))
```
## Import
Redshift Scheduled Action can be imported using the `name`, e.g.
```sh
$ pulumi import aws:redshift/scheduledAction:ScheduledAction example tf-redshift-scheduled-action
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] description: The description of the scheduled action.
:param pulumi.Input[bool] enable: Whether to enable the scheduled action. Default is `true` .
:param pulumi.Input[str] end_time: The end time in UTC when the schedule is active, in UTC RFC3339 format(for example, YYYY-MM-DDTHH:MM:SSZ).
:param pulumi.Input[str] iam_role: The IAM role to assume to run the scheduled action.
:param pulumi.Input[str] name: The scheduled action name.
:param pulumi.Input[str] schedule: The schedule of action. The schedule is defined format of "at expression" or "cron expression", for example `at(2016-03-04T17:27:00)` or `cron(0 10 ? * MON *)`. See [Scheduled Action](https://docs.aws.amazon.com/redshift/latest/APIReference/API_ScheduledAction.html) for more information.
:param pulumi.Input[str] start_time: The start time in UTC when the schedule is active, in UTC RFC3339 format(for example, YYYY-MM-DDTHH:MM:SSZ).
:param pulumi.Input[pulumi.InputType['ScheduledActionTargetActionArgs']] target_action: Target action. Documented below.
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: ScheduledActionArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
## Example Usage
### Pause Cluster Action
```python
import pulumi
import pulumi_aws as aws
example_role = aws.iam.Role("exampleRole", assume_role_policy=\"\"\"{
"Version": "2012-10-17",
"Statement": [
{
"Action": "sts:AssumeRole",
"Principal": {
"Service": [
"scheduler.redshift.amazonaws.com"
]
},
"Effect": "Allow",
"Sid": ""
}
]
}
\"\"\")
example_policy = aws.iam.Policy("examplePolicy", policy=\"\"\"{
"Version": "2012-10-17",
"Statement": [
{
"Sid": "VisualEditor0",
"Effect": "Allow",
"Action": [
"redshift:PauseCluster",
"redshift:ResumeCluster",
"redshift:ResizeCluster"
],
"Resource": "*"
}
]
}
\"\"\")
example_role_policy_attachment = aws.iam.RolePolicyAttachment("exampleRolePolicyAttachment",
policy_arn=example_policy.arn,
role=example_role.name)
example_scheduled_action = aws.redshift.ScheduledAction("exampleScheduledAction",
schedule="cron(00 23 * * ? *)",
iam_role=example_role.arn,
target_action=aws.redshift.ScheduledActionTargetActionArgs(
pause_cluster=aws.redshift.ScheduledActionTargetActionPauseClusterArgs(
cluster_identifier="tf-redshift001",
),
))
```
### Resize Cluster Action
```python
import pulumi
import pulumi_aws as aws
example = aws.redshift.ScheduledAction("example",
schedule="cron(00 23 * * ? *)",
iam_role=aws_iam_role["example"]["arn"],
target_action=aws.redshift.ScheduledActionTargetActionArgs(
resize_cluster=aws.redshift.ScheduledActionTargetActionResizeClusterArgs(
cluster_identifier="tf-redshift001",
cluster_type="multi-node",
node_type="dc1.large",
number_of_nodes=2,
),
))
```
## Import
Redshift Scheduled Action can be imported using the `name`, e.g.
```sh
$ pulumi import aws:redshift/scheduledAction:ScheduledAction example tf-redshift-scheduled-action
```
:param str resource_name: The name of the resource.
:param ScheduledActionArgs args: The arguments to use to populate this resource's properties.
:param pulumi.ResourceOptions opts: Options for the resource.
"""
...
def __init__(__self__, resource_name: str, *args, **kwargs):
resource_args, opts = _utilities.get_resource_args_opts(ScheduledActionArgs, pulumi.ResourceOptions, *args, **kwargs)
if resource_args is not None:
__self__._internal_init(resource_name, opts, **resource_args.__dict__)
else:
__self__._internal_init(resource_name, *args, **kwargs)
def _internal_init(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
description: Optional[pulumi.Input[str]] = None,
enable: Optional[pulumi.Input[bool]] = None,
end_time: Optional[pulumi.Input[str]] = None,
iam_role: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
schedule: Optional[pulumi.Input[str]] = None,
start_time: Optional[pulumi.Input[str]] = None,
target_action: Optional[pulumi.Input[pulumi.InputType['ScheduledActionTargetActionArgs']]] = None,
__props__=None):
if opts is None:
opts = pulumi.ResourceOptions()
if not isinstance(opts, pulumi.ResourceOptions):
raise TypeError('Expected resource options to be a ResourceOptions instance')
if opts.version is None:
opts.version = _utilities.get_version()
if opts.id is None:
if __props__ is not None:
raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource')
__props__ = ScheduledActionArgs.__new__(ScheduledActionArgs)
__props__.__dict__["description"] = description
__props__.__dict__["enable"] = enable
__props__.__dict__["end_time"] = end_time
if iam_role is None and not opts.urn:
raise TypeError("Missing required property 'iam_role'")
__props__.__dict__["iam_role"] = iam_role
__props__.__dict__["name"] = name
if schedule is None and not opts.urn:
raise TypeError("Missing required property 'schedule'")
__props__.__dict__["schedule"] = schedule
__props__.__dict__["start_time"] = start_time
if target_action is None and not opts.urn:
raise TypeError("Missing required property 'target_action'")
__props__.__dict__["target_action"] = target_action
super(ScheduledAction, __self__).__init__(
'aws:redshift/scheduledAction:ScheduledAction',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
description: Optional[pulumi.Input[str]] = None,
enable: Optional[pulumi.Input[bool]] = None,
end_time: Optional[pulumi.Input[str]] = None,
iam_role: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
schedule: Optional[pulumi.Input[str]] = None,
start_time: Optional[pulumi.Input[str]] = None,
target_action: Optional[pulumi.Input[pulumi.InputType['ScheduledActionTargetActionArgs']]] = None) -> 'ScheduledAction':
"""
Get an existing ScheduledAction resource's state with the given name, id, and optional extra
properties used to qualify the lookup.
:param str resource_name: The unique name of the resulting resource.
:param pulumi.Input[str] id: The unique provider ID of the resource to lookup.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] description: The description of the scheduled action.
:param pulumi.Input[bool] enable: Whether to enable the scheduled action. Default is `true` .
:param pulumi.Input[str] end_time: The end time in UTC when the schedule is active, in UTC RFC3339 format(for example, YYYY-MM-DDTHH:MM:SSZ).
:param pulumi.Input[str] iam_role: The IAM role to assume to run the scheduled action.
:param pulumi.Input[str] name: The scheduled action name.
:param pulumi.Input[str] schedule: The schedule of action. The schedule is defined format of "at expression" or "cron expression", for example `at(2016-03-04T17:27:00)` or `cron(0 10 ? * MON *)`. See [Scheduled Action](https://docs.aws.amazon.com/redshift/latest/APIReference/API_ScheduledAction.html) for more information.
:param pulumi.Input[str] start_time: The start time in UTC when the schedule is active, in UTC RFC3339 format(for example, YYYY-MM-DDTHH:MM:SSZ).
:param pulumi.Input[pulumi.InputType['ScheduledActionTargetActionArgs']] target_action: Target action. Documented below.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _ScheduledActionState.__new__(_ScheduledActionState)
__props__.__dict__["description"] = description
__props__.__dict__["enable"] = enable
__props__.__dict__["end_time"] = end_time
__props__.__dict__["iam_role"] = iam_role
__props__.__dict__["name"] = name
__props__.__dict__["schedule"] = schedule
__props__.__dict__["start_time"] = start_time
__props__.__dict__["target_action"] = target_action
return ScheduledAction(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter
def description(self) -> pulumi.Output[Optional[str]]:
"""
The description of the scheduled action.
"""
return pulumi.get(self, "description")
@property
@pulumi.getter
def enable(self) -> pulumi.Output[Optional[bool]]:
"""
Whether to enable the scheduled action. Default is `true` .
"""
return pulumi.get(self, "enable")
@property
@pulumi.getter(name="endTime")
def end_time(self) -> pulumi.Output[Optional[str]]:
"""
The end time in UTC when the schedule is active, in UTC RFC3339 format(for example, YYYY-MM-DDTHH:MM:SSZ).
"""
return pulumi.get(self, "end_time")
@property
@pulumi.getter(name="iamRole")
def iam_role(self) -> pulumi.Output[str]:
"""
The IAM role to assume to run the scheduled action.
"""
return pulumi.get(self, "iam_role")
@property
@pulumi.getter
def name(self) -> pulumi.Output[str]:
"""
The scheduled action name.
"""
return pulumi.get(self, "name")
@property
@pulumi.getter
def schedule(self) -> pulumi.Output[str]:
"""
The schedule of action. The schedule is defined format of "at expression" or "cron expression", for example `at(2016-03-04T17:27:00)` or `cron(0 10 ? * MON *)`. See [Scheduled Action](https://docs.aws.amazon.com/redshift/latest/APIReference/API_ScheduledAction.html) for more information.
"""
return pulumi.get(self, "schedule")
@property
@pulumi.getter(name="startTime")
def start_time(self) -> pulumi.Output[Optional[str]]:
"""
The start time in UTC when the schedule is active, in UTC RFC3339 format(for example, YYYY-MM-DDTHH:MM:SSZ).
"""
return pulumi.get(self, "start_time")
@property
@pulumi.getter(name="targetAction")
def target_action(self) -> pulumi.Output['outputs.ScheduledActionTargetAction']:
"""
Target action. Documented below.
"""
return pulumi.get(self, "target_action")
| 42.640379
| 331
| 0.616298
| 3,010
| 27,034
| 5.359468
| 0.077741
| 0.073642
| 0.069427
| 0.06546
| 0.88216
| 0.867158
| 0.852281
| 0.832755
| 0.826618
| 0.809323
| 0
| 0.012281
| 0.271103
| 27,034
| 633
| 332
| 42.707741
| 0.806394
| 0.419805
| 0
| 0.741497
| 1
| 0
| 0.102818
| 0.026405
| 0
| 0
| 0
| 0
| 0
| 1
| 0.159864
| false
| 0.003401
| 0.02381
| 0
| 0.278912
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
7440ce86fdf009115eb60619a0f1a5d0b816efe6
| 121
|
py
|
Python
|
tests/test_caaalle.py
|
caalle/caaalle
|
3653155338fefde73579508ee83905a8ad8e3924
|
[
"Apache-2.0"
] | null | null | null |
tests/test_caaalle.py
|
caalle/caaalle
|
3653155338fefde73579508ee83905a8ad8e3924
|
[
"Apache-2.0"
] | 4
|
2021-04-26T18:42:38.000Z
|
2021-04-26T18:42:41.000Z
|
tests/test_caaalle.py
|
caalle/caaalle
|
3653155338fefde73579508ee83905a8ad8e3924
|
[
"Apache-2.0"
] | null | null | null |
"""
tests.test_caaalle.py
~~~~~~~~~~~~~~~~~~~~
"""
import caaalle
def test_caaalle():
assert caaalle.add(0, 4) == 4
| 13.444444
| 33
| 0.545455
| 15
| 121
| 4.266667
| 0.666667
| 0.34375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.029126
| 0.14876
| 121
| 9
| 33
| 13.444444
| 0.592233
| 0.347107
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.333333
| 1
| 0.333333
| true
| 0
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
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| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
7471def4b372740ab93a10b3c9a0a3d9fe8beb69
| 231
|
py
|
Python
|
random_dict/__init__.py
|
LucaCappelletti94/random_dict
|
a7ec7081b0c28e160e7bdd4a47cfc9cae324618b
|
[
"MIT"
] | 2
|
2020-06-10T03:36:14.000Z
|
2021-04-29T09:33:26.000Z
|
random_dict/__init__.py
|
LucaCappelletti94/random_dict
|
a7ec7081b0c28e160e7bdd4a47cfc9cae324618b
|
[
"MIT"
] | null | null | null |
random_dict/__init__.py
|
LucaCappelletti94/random_dict
|
a7ec7081b0c28e160e7bdd4a47cfc9cae324618b
|
[
"MIT"
] | null | null | null |
from .random_dict import random_dict, random_float_dict, random_bool_dict, random_string_dict, random_int_dict
__all__ = ["random_dict", "random_float_dict",
"random_bool_dict", "random_string_dict", "random_int_dict"]
| 46.2
| 110
| 0.787879
| 33
| 231
| 4.818182
| 0.272727
| 0.503145
| 0.201258
| 0.264151
| 0.855346
| 0.855346
| 0.855346
| 0.855346
| 0.855346
| 0.855346
| 0
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| 231
| 4
| 111
| 57.75
| 0.779412
| 0
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| false
| 0
| 0.333333
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| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
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| 1
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| 0
|
0
| 11
|
7497e2ab54d673e0170cce872aa54f71b235114b
| 2,142
|
py
|
Python
|
Packs/CommonScripts/Scripts/ProductJoin/ProductJoin_test.py
|
diCagri/content
|
c532c50b213e6dddb8ae6a378d6d09198e08fc9f
|
[
"MIT"
] | 799
|
2016-08-02T06:43:14.000Z
|
2022-03-31T11:10:11.000Z
|
Packs/CommonScripts/Scripts/ProductJoin/ProductJoin_test.py
|
diCagri/content
|
c532c50b213e6dddb8ae6a378d6d09198e08fc9f
|
[
"MIT"
] | 9,317
|
2016-08-07T19:00:51.000Z
|
2022-03-31T21:56:04.000Z
|
Packs/CommonScripts/Scripts/ProductJoin/ProductJoin_test.py
|
diCagri/content
|
c532c50b213e6dddb8ae6a378d6d09198e08fc9f
|
[
"MIT"
] | 1,297
|
2016-08-04T13:59:00.000Z
|
2022-03-31T23:43:06.000Z
|
from ProductJoin import product_join
def test_when_list1_is_csv_and_list2_is_list():
list1 = 'a,b,c'
list2 = ['1', '2']
result = product_join({'value': list1, 'list2': list2, 'join': '='})
expectedOutput = ['a=1', 'a=2', 'b=1', 'b=2', 'c=1', 'c=2']
assert expectedOutput == result
def test_when_list1_is_list_and_list2_is_csv():
list1 = ['a', 'b', 'c']
list2 = '1,2'
result = product_join({'value': list1, 'list2': list2, 'join': '='})
expectedOutput = ['a=1', 'a=2', 'b=1', 'b=2', 'c=1', 'c=2']
assert expectedOutput == result
def test_when_list1_is_list_and_list2_is_list():
list1 = ['a', 'b', 'c']
list2 = ['1', '2']
result = product_join({'value': list1, 'list2': list2, 'join': '='})
expectedOutput = ['a=1', 'a=2', 'b=1', 'b=2', 'c=1', 'c=2']
assert expectedOutput == result
def test_when_list1_is_csv_and_list2_is_csv():
list1 = 'a,b,c'
list2 = '1,2'
result = product_join({'value': list1, 'list2': list2, 'join': '='})
expectedOutput = ['a=1', 'a=2', 'b=1', 'b=2', 'c=1', 'c=2']
assert expectedOutput == result
def test_when_list1_is_csv_and_list2_is_csv_with_spaces():
list1 = 'a,b,c'
list2 = '1, 2'
result = product_join({'value': list1, 'list2': list2, 'join': '='})
expectedOutput = ['a=1', 'a=2', 'b=1', 'b=2', 'c=1', 'c=2']
assert expectedOutput == result
def test_when_list1_is_csv_and_list2_is_numbers():
list1 = 'a, b, c'
list2 = [1, 2]
result = product_join({'value': list1, 'list2': list2, 'join': '='})
expectedOutput = ['a=1', 'a=2', 'b=1', 'b=2', 'c=1', 'c=2']
assert expectedOutput == result
def test_when_list1_is_csv_and_list2_is_number():
list1 = 'a, b, c'
list2 = 1
result = product_join({'value': list1, 'list2': list2, 'join': '='})
expectedOutput = ['a=1', 'b=1', 'c=1']
assert expectedOutput == result
def test_when_list1_is_csv_and_list2_is_single_item():
list1 = 'a, b, c'
list2 = [1]
result = product_join({'value': list1, 'list2': list2, 'join': '='})
expectedOutput = ['a=1', 'b=1', 'c=1']
assert expectedOutput == result
| 28.945946
| 72
| 0.587302
| 322
| 2,142
| 3.670807
| 0.090062
| 0.083756
| 0.07445
| 0.108291
| 0.945008
| 0.945008
| 0.945008
| 0.945008
| 0.945008
| 0.927242
| 0
| 0.065041
| 0.196078
| 2,142
| 73
| 73
| 29.342466
| 0.621371
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| 0
| 0.14099
| 0
| 0
| 0
| 0
| 0
| 0.163265
| 1
| 0.163265
| false
| 0
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| 0
| 0.183673
| 0
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|
0
| 7
|
749ab3d4724b1210dfe428f5da203bc5531f591d
| 11,250
|
py
|
Python
|
mackay.py
|
jameshensman/mlss_2019
|
e0d75a5700aac829287eb889592ffcf1f6414d22
|
[
"Apache-2.0"
] | 1
|
2021-01-24T02:33:03.000Z
|
2021-01-24T02:33:03.000Z
|
mackay.py
|
jameshensman/mlss_2019
|
e0d75a5700aac829287eb889592ffcf1f6414d22
|
[
"Apache-2.0"
] | null | null | null |
mackay.py
|
jameshensman/mlss_2019
|
e0d75a5700aac829287eb889592ffcf1f6414d22
|
[
"Apache-2.0"
] | null | null | null |
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
from matplotlib.patches import Ellipse
import matplotlib
matplotlib.rcParams['figure.figsize'] = (16, 6)
def samples_2D():
np.random.seed(12)
num_samples = 100
Ks = [np.array([[1., 0.8], [0.8, 1.]]),
np.array([[1., 0.32], [0.32, 1.]]),
np.array([[1., 0.98], [0.98, 1.]])]
for i, K in enumerate(Ks):
fig, axes = plt.subplots(1, 2)
L = np.linalg.cholesky(K)
samples = np.dot(L, np.random.randn(2, num_samples))
line, = axes[0].plot([], [], 'C0x', mew=2, ms=8)
evals, evecs = np.linalg.eigh(K)
ell = Ellipse(xy=(0, 0),
width=np.sqrt(evals[0])*4, height=np.sqrt(evals[1])*4,
angle=np.rad2deg(np.arccos(evecs[0, 0])))
ell.set_facecolor('none')
ell.set_edgecolor('k')
axes[0].add_artist(ell)
axes[0].set_xlabel('f(x_1)')
axes[0].set_ylabel('f(x_2)')
axes[0].set_xlim(-2.5, 2.5)
axes[0].set_ylim(-2.5, 2.5)
axes[1].imshow(K, cmap=plt.cm.gray, extent=[0, 2, 0, 2], origin='lower', interpolation='nearest', vmin=0.2, vmax=1.0)
axes[1].set_xticks([])
axes[1].set_yticks([])
xx, yy = np.mgrid[0:1:2j, 0:1:2j]
xx, yy = xx + 0.5, yy + 0.5
[axes[1].text(x, y, k, color='C1',
horizontalalignment='center',
verticalalignment='center',
fontsize=20)
for x, y, k in zip(xx.flat, yy.flat, K.flat)]
def init():
return [line]
def animate(i):
line.set_xdata(samples[0, :i])
line.set_ydata(samples[1, :i])
return [line]
ani = animation.FuncAnimation(
fig, animate, init_func=init, interval=100, blit=True, save_count=num_samples)
w = animation.ImageMagickWriter(fps=25)
ani.save('twoD_samples{}.gif'.format(i+1), writer=w)
def samples_2D_gp_plot():
np.random.seed(12)
num_samples = 100
Ks = [np.array([[1., 0.8], [0.8, 1.]]),
np.array([[1., 0.32], [0.32, 1.]]),
np.array([[1., 0.98], [0.98, 1.]])]
for i, K in enumerate(Ks):
fig, axes = plt.subplots(1, 2)
L = np.linalg.cholesky(K)
samples = np.dot(L, np.random.randn(2, num_samples))
line1, = axes[0].plot([], [], 'C0x', mew=2, ms=8)
evals, evecs = np.linalg.eigh(K)
ell = Ellipse(xy=(0, 0),
width=np.sqrt(evals[0])*4, height=np.sqrt(evals[1])*4,
angle=np.rad2deg(np.arccos(evecs[0, 0])))
ell.set_facecolor('none')
ell.set_edgecolor('k')
axes[0].add_artist(ell)
axes[0].set_xlabel('f(x_1)')
axes[0].set_ylabel('f(x_2)')
axes[0].set_xlim(-2.5, 2.5)
axes[0].set_ylim(-2.5, 2.5)
axes[1].set_xticks([-1, 1])
axes[1].set_xticklabels(['x_1', 'x_2'])
axes[1].set_yticks([])
axes[1].set_ylim(-2.5, 2.5)
axes[1].set_xlim(-1.5, 1.5)
line2, = axes[1].plot([], [], 'C0--', mew=2, ms=8, marker='x')
def init():
return [line1, line2]
def animate(i):
line1.set_xdata(samples[0, :i])
line1.set_ydata(samples[1, :i])
line2.set_xdata(np.tile([[-1, 1, np.nan]], [i, 1]).flatten())
line2.set_ydata(np.vstack([samples[:, :i], (np.empty(i) * np.nan)]).T.flatten())
return [line1, line2]
ani = animation.FuncAnimation(
fig, animate, init_func=init, interval=100, blit=True, save_count=num_samples)
w = animation.ImageMagickWriter(fps=25)
ani.save('twoD_samples_gpplot{}.gif'.format(i+1), writer=w)
def samples_2D_gp_plot_cond():
np.random.seed(12)
num_samples = 100
cond_val = 1.1
Ks = [np.array([[1., 0.8], [0.8, 1.]]),
np.array([[1., 0.32], [0.32, 1.]]),
np.array([[1., 0.98], [0.98, 1.]])]
for i, K in enumerate(Ks):
fig, axes = plt.subplots(1, 2)
L = np.linalg.cholesky(K)
mean = K[0, 1] / K[0, 0] * cond_val
var = K[1, 1] - K[0 , 1]**2 / K[0, 0]
samples = np.random.randn(num_samples) * np.sqrt(var) + mean
x_line = np.linspace(-2.5, 2.5, 200)
density = np.exp(-0.5 * np.log(2 * np.pi) - 0.5 * np.log(var) - 0.5 * (x_line - mean)**2 / var)
axes[0].plot(cond_val + density * 0.3, x_line, 'C1', lw=1.2)
line1, = axes[0].plot([], [], 'C0x', mew=2, ms=8)
line2, = axes[1].plot([], [], 'C0--', mew=2, ms=8, marker='x')
evals, evecs = np.linalg.eigh(K)
ell = Ellipse(xy=(0, 0),
width=np.sqrt(evals[0])*4, height=np.sqrt(evals[1])*4,
angle=np.rad2deg(np.arccos(evecs[0, 0])))
ell.set_facecolor('none')
ell.set_edgecolor('k')
axes[0].add_artist(ell)
axes[0].set_xlabel('f(x_1)')
axes[0].set_ylabel('f(x_2)')
axes[0].set_xlim(-2.5, 2.5)
axes[0].set_ylim(-2.5, 2.5)
axes[1].set_xticks([-1, 1])
axes[1].set_xticklabels(['x_1', 'x_2'])
axes[1].set_yticks([])
axes[1].set_ylim(-2.5, 2.5)
axes[1].set_xlim(-1.5, 1.5)
def init():
return [line1, line2]
def animate(i):
line1.set_xdata(np.zeros(i) + cond_val)
line1.set_ydata(samples[:i])
line2.set_xdata(np.tile([[-1, 1, np.nan]], [i, 1]).flatten())
line2.set_ydata(np.vstack([np.zeros(i) + cond_val, samples[:i], (np.empty(i) * np.nan)]).T.flatten())
return [line1, line2]
ani = animation.FuncAnimation(
fig, animate, init_func=init, interval=100, blit=True, save_count=num_samples)
w = animation.ImageMagickWriter(fps=25)
ani.save('twoD_samples_gpplot_cond{}.gif'.format(i+1), writer=w)
def samples_2D_conditioned():
np.random.seed(12)
num_samples = 100
cond_val = 1.1
Ks = [np.array([[1., 0.8], [0.8, 1.]]),
np.array([[1., 0.32], [0.32, 1.]]),
np.array([[1., 0.98], [0.98, 1.]])]
for i, K in enumerate(Ks):
fig, axes = plt.subplots(1, 2)
mean = K[0, 1] / K[0, 0] * cond_val
var = K[1, 1] - K[0 , 1]**2 / K[0, 0]
samples = np.random.randn(num_samples) * np.sqrt(var) + mean
line, = axes[0].plot([], [], 'C0x', mew=2, ms=8)
x_line = np.linspace(-2.5, 2.5, 200)
density = np.exp(-0.5 * np.log(2 * np.pi) - 0.5 * np.log(var) - 0.5 * (x_line - mean)**2 / var)
axes[0].plot(cond_val + density * 0.3, x_line, 'C1', lw=1.2)
evals, evecs = np.linalg.eigh(K)
ell = Ellipse(xy=(0, 0),
width=np.sqrt(evals[0])*4, height=np.sqrt(evals[1])*4,
angle=np.rad2deg(np.arccos(evecs[0, 0])))
ell.set_facecolor('none')
ell.set_edgecolor('k')
axes[0].add_artist(ell)
axes[0].set_xlabel('f(x_1)')
axes[0].set_ylabel('f(x_2)')
axes[0].set_xlim(-2.5, 2.5)
axes[0].set_ylim(-2.5, 2.5)
axes[1].imshow(K, cmap=plt.cm.gray, extent=[0, 2, 0, 2], origin='lower', interpolation='nearest', vmin=0.2, vmax=1.0)
axes[1].set_xticks([])
axes[1].set_yticks([])
xx, yy = np.mgrid[0:1:2j, 0:1:2j]
xx, yy = xx + 0.5, yy + 0.5
[axes[1].text(x, y, k, color='C1',
horizontalalignment='center',
verticalalignment='center',
fontsize=20)
for x, y, k in zip(xx.flat, yy.flat, K.flat)]
def init():
return [line]
def animate(i):
line.set_xdata(np.zeros(i) + cond_val)
line.set_ydata(samples[:i])
return [line]
ani = animation.FuncAnimation(
fig, animate, init_func=init, interval=100, blit=True, save_count=num_samples)
w = animation.ImageMagickWriter(fps=25)
ani.save('twoD_samples_cond{}.gif'.format(i+1), writer=w)
def samples_6D_gp_plot():
np.random.seed(12)
num_samples = 100
x = np.linspace(-1, 1, 6)
K = np.exp(-0.5 * np.square(x - x[:, None]))
fig, axes = plt.subplots(1, 2)
line, = axes[1].plot([], [], 'C0--', mew=2, ms=8, marker='x')
L = np.linalg.cholesky(K)
samples = np.dot(L, np.random.randn(6, num_samples))
axes[0].imshow(K, cmap=plt.cm.gray, extent=[0, 6, 0, 6], origin='lower', interpolation='nearest', vmin=0.2, vmax=1.0)
axes[0].set_xticks([])
axes[0].set_yticks([])
xx, yy = np.mgrid[0:5:6j, 0:5:6j]
xx, yy = xx + 0.5, yy + 0.5
[axes[0].text(x, y, '{0:.2f}'.format(k), color='C1',
horizontalalignment='center',
verticalalignment='center',
fontsize=12)
for x, y, k in zip(xx.flat, yy.flat, K.flat)]
axes[1].set_xticks(x)
axes[1].set_xticklabels(['x_{}'.format(i+1) for i in range(len(x))])
axes[1].set_yticks([])
axes[1].set_ylim(-2.5, 2.5)
axes[1].set_xlim(-1.2, 1.2)
def init():
return [line]
def animate(i):
line.set_xdata(np.tile(np.hstack([x, [np.nan]]), [i, 1]).flatten())
line.set_ydata(np.vstack([samples[:, :i], (np.empty(i) * np.nan)]).T.flatten())
print(i)
return [line]
ani = animation.FuncAnimation(
fig, animate, init_func=init, interval=200, blit=True, save_count=num_samples)
w = animation.ImageMagickWriter(fps=10)
ani.save('sixD_samples_gpplot.gif', writer=w)
def samples_6D_gp_plot_cond():
np.random.seed(12)
num_samples = 100
x = np.linspace(-1, 1, 6)
K = np.exp(-0.5 * np.square(x - x[:, None]))
i_cond = [1, 3]
f_cond = np.array([[1.], [-0.2]])
Kxx = K[i_cond][:, i_cond]
kxX = K[i_cond]
mu = np.dot(kxX.T, np.linalg.solve(Kxx, f_cond))
var = K - np.dot(kxX.T, np.linalg.solve(Kxx, kxX))
fig, axes = plt.subplots(1, 2)
line, = axes[1].plot([], [], 'C0--', mew=2, ms=8, marker='x')
L = np.linalg.cholesky(var + np.eye(6) * 1e-6)
samples = np.dot(L, np.random.randn(6, num_samples)) + mu
axes[0].imshow(K, cmap=plt.cm.gray, extent=[0, 6, 0, 6], origin='lower', interpolation='nearest', vmin=0.2, vmax=1.0)
axes[0].set_xticks([])
axes[0].set_yticks([])
xx, yy = np.mgrid[0:5:6j, 0:5:6j]
xx, yy = xx + 0.5, yy + 0.5
[axes[0].text(x, y, '{0:.2f}'.format(k), color='C1',
horizontalalignment='center',
verticalalignment='center',
fontsize=12)
for x, y, k in zip(xx.flat, yy.flat, K.flat)]
axes[1].set_xticks(x)
axes[1].set_xticklabels(['x_{}'.format(i+1) for i in range(len(x))])
axes[1].set_yticks([])
axes[1].set_ylim(-2.5, 2.5)
axes[1].set_xlim(-1.2, 1.2)
def init():
return [line]
def animate(i):
line.set_xdata(np.tile(np.hstack([x, [np.nan]]), [i, 1]).flatten())
line.set_ydata(np.vstack([samples[:, :i], (np.empty(i) * np.nan)]).T.flatten())
return [line]
ani = animation.FuncAnimation(
fig, animate, init_func=init, interval=200, blit=True, save_count=num_samples)
w = animation.ImageMagickWriter(fps=10)
ani.save('sixD_samples_gpplot_cond.gif', writer=w)
| 34.722222
| 125
| 0.532533
| 1,798
| 11,250
| 3.239155
| 0.092325
| 0.02919
| 0.032967
| 0.009615
| 0.943681
| 0.932521
| 0.932521
| 0.924107
| 0.915522
| 0.893544
| 0
| 0.071273
| 0.265422
| 11,250
| 323
| 126
| 34.829721
| 0.63347
| 0
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| 0.851563
| 0
| 0
| 0.035829
| 0.011469
| 0
| 0
| 0
| 0
| 0
| 1
| 0.070313
| false
| 0
| 0.019531
| 0.023438
| 0.136719
| 0.003906
| 0
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| 0
| null | 0
| 0
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| 1
| 1
| 1
| 1
| 1
| 1
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
77a2d346d1d53ee495bb9b99b497c3ce57f2a083
| 139
|
py
|
Python
|
mountainlab_pytools/mlproc/__init__.py
|
tjd2002/mountainlab_pytools
|
19b4ab06b073a7cfd9535b9285fd95471e731df9
|
[
"Apache-2.0"
] | null | null | null |
mountainlab_pytools/mlproc/__init__.py
|
tjd2002/mountainlab_pytools
|
19b4ab06b073a7cfd9535b9285fd95471e731df9
|
[
"Apache-2.0"
] | null | null | null |
mountainlab_pytools/mlproc/__init__.py
|
tjd2002/mountainlab_pytools
|
19b4ab06b073a7cfd9535b9285fd95471e731df9
|
[
"Apache-2.0"
] | 1
|
2019-01-19T04:07:15.000Z
|
2019-01-19T04:07:15.000Z
|
from .mlproc_impl import runProcess,execProcess,queueProcess
from .mlproc_impl import spec
from .mlproc_impl import locateFile,realizeFile
| 34.75
| 60
| 0.870504
| 18
| 139
| 6.555556
| 0.555556
| 0.254237
| 0.355932
| 0.508475
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.086331
| 139
| 3
| 61
| 46.333333
| 0.929134
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| null | 1
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| null | 0
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| 0
| 1
| 0
|
0
| 8
|
77cadf35146cee517dd24ad2d159f688a0390d92
| 4,372
|
py
|
Python
|
angr_platforms/tricore/ssro_instr.py
|
shahinsba/angr-platforms
|
86f9ea90c396fb5561d0196a2d1a873e573b0294
|
[
"BSD-2-Clause"
] | null | null | null |
angr_platforms/tricore/ssro_instr.py
|
shahinsba/angr-platforms
|
86f9ea90c396fb5561d0196a2d1a873e573b0294
|
[
"BSD-2-Clause"
] | null | null | null |
angr_platforms/tricore/ssro_instr.py
|
shahinsba/angr-platforms
|
86f9ea90c396fb5561d0196a2d1a873e573b0294
|
[
"BSD-2-Clause"
] | null | null | null |
#!/usr/bin/env python3
""" ssro_instr.py
Implementation of SSRO format instructions.
"""
from pyvex.lifting.util import Type, Instruction
from .logger import log_this
class SSRO_ST_A_Inst(Instruction):
""" Store Word from Address Register instruction.
op = 0xE8
User Status Flags: no change.
"""
name = 'SSRO_ST.A'
op = "{0}{1}".format(bin(0xe)[2:].zfill(4), bin(8)[2:].zfill(4))
bin_format = op + 'b'*4 + 'a'*4
def parse(self, bitstrm):
data = Instruction.parse(self, bitstrm)
data = {"a": int(data['a'], 2),
"off4": int(data['b'], 2)}
log_this(self.name, data, hex(self.addr))
return data
def get_offset(self):
return self.constant(self.data['off4'], Type.int_4).cast_to(Type.int_32)
def get_a_15(self):
return self.get("a15", Type.int_32)
def get_a_a(self):
return self.get("a{0}".format(self.data['a']), Type.int_32)
def fetch_operands(self):
return self.get_a_a(), self.get_a_15(), self.get_offset()
def compute_result(self, *args):
a_a = args[0]
a_15 = args[1]
offset = args[2]
addr = a_15 + (offset << 2)
self.store(a_a, addr)
class SSRO_ST_B_Inst(Instruction):
""" Store Byte instruction.
op = 0x28
User Status Flags: no change.
"""
name = 'SSRO_ST.B'
op = "{0}{1}".format(bin(2)[2:].zfill(4), bin(8)[2:].zfill(4))
bin_format = op + 'b'*4 + 'a'*4
def parse(self, bitstrm):
data = Instruction.parse(self, bitstrm)
data = {"a": int(data['a'], 2),
"off4": int(data['b'], 2)}
log_this(self.name, data, hex(self.addr))
return data
def get_offset(self):
return self.constant(self.data['off4'], Type.int_4).cast_to(Type.int_32)
def get_a_15(self):
return self.get("a15", Type.int_32)
def get_d_a(self):
return self.get("d{0}".format(self.data['a']), Type.int_32)
def fetch_operands(self):
return self.get_d_a(), self.get_a_15(), self.get_offset()
def compute_result(self, *args):
d_a = args[0]
a_15 = args[1]
offset = args[2]
val = d_a & 0xff
addr = a_15 + offset
self.store(val, addr)
class SSRO_ST_H_Inst(Instruction):
""" Store Half-word instruction.
op = 0xA8
User Status Flags: no change.
"""
name = 'SSRO_ST.H'
op = "{0}{1}".format(bin(0xa)[2:].zfill(4), bin(8)[2:].zfill(4))
bin_format = op + 'b'*4 + 'a'*4
def parse(self, bitstrm):
data = Instruction.parse(self, bitstrm)
data = {"a": int(data['a'], 2),
"off4": int(data['b'], 2)}
log_this(self.name, data, hex(self.addr))
return data
def get_offset(self):
return self.constant(self.data['off4'], Type.int_4).cast_to(Type.int_32)
def get_a_15(self):
return self.get("a15", Type.int_32)
def get_d_a(self):
return self.get("d{0}".format(self.data['a']), Type.int_32)
def fetch_operands(self):
return self.get_d_a(), self.get_a_15(), self.get_offset()
def compute_result(self, *args):
d_a = args[0]
a_15 = args[1]
offset = args[2]
val = d_a & 0xffff
addr = a_15 + (offset << 1)
self.store(val, addr)
class SSRO_ST_W_Inst(Instruction):
""" Store Word instruction.
op = 0x68
User Status Flags: no change.
"""
name = 'SSRO_ST.W'
op = "{0}{1}".format(bin(6)[2:].zfill(4), bin(8)[2:].zfill(4))
bin_format = op + 'b'*4 + 'a'*4
def parse(self, bitstrm):
data = Instruction.parse(self, bitstrm)
data = {"a": int(data['a'], 2),
"off4": int(data['b'], 2)}
log_this(self.name, data, hex(self.addr))
return data
def get_offset(self):
return self.constant(self.data['off4'], Type.int_4).cast_to(Type.int_32)
def get_a_15(self):
return self.get("a15", Type.int_32)
def get_d_a(self):
return self.get("d{0}".format(self.data['a']), Type.int_32)
def fetch_operands(self):
return self.get_d_a(), self.get_a_15(), self.get_offset()
def compute_result(self, *args):
d_a = args[0]
a_15 = args[1]
offset = args[2]
addr = a_15 + (offset << 2)
self.store(d_a, addr)
| 27.670886
| 80
| 0.565188
| 673
| 4,372
| 3.508172
| 0.120357
| 0.059297
| 0.094875
| 0.060991
| 0.828886
| 0.798391
| 0.797967
| 0.775095
| 0.719187
| 0.719187
| 0
| 0.048674
| 0.266926
| 4,372
| 157
| 81
| 27.847134
| 0.687988
| 0.0828
| 0
| 0.76
| 0
| 0
| 0.03698
| 0
| 0
| 0
| 0.004109
| 0
| 0
| 1
| 0.24
| false
| 0
| 0.02
| 0.16
| 0.62
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 10
|
24a6fcdb33423bd9d714c075ed8f693d1cd7a194
| 147
|
py
|
Python
|
srcs/python/kungfu/__init__.py
|
awesome-archive/KungFu-1
|
1aba2a2b320d52f2a8fec96380fcbfd3a9e49ef5
|
[
"Apache-2.0"
] | 1
|
2019-10-30T07:29:45.000Z
|
2019-10-30T07:29:45.000Z
|
srcs/python/kungfu/__init__.py
|
awesome-archive/KungFu-1
|
1aba2a2b320d52f2a8fec96380fcbfd3a9e49ef5
|
[
"Apache-2.0"
] | null | null | null |
srcs/python/kungfu/__init__.py
|
awesome-archive/KungFu-1
|
1aba2a2b320d52f2a8fec96380fcbfd3a9e49ef5
|
[
"Apache-2.0"
] | null | null | null |
from .ext import current_cluster_size, current_rank, run_barrier
__all__ = [
'current_cluster_size',
'current_rank',
'run_barrier',
]
| 18.375
| 64
| 0.721088
| 18
| 147
| 5.222222
| 0.555556
| 0.297872
| 0.382979
| 0.531915
| 0.829787
| 0.829787
| 0.829787
| 0
| 0
| 0
| 0
| 0
| 0.176871
| 147
| 7
| 65
| 21
| 0.77686
| 0
| 0
| 0
| 0
| 0
| 0.292517
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.166667
| 0
| 0.166667
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
24d7544bb5ef9cb86f26fa8e2333a86f65e4e77e
| 506
|
py
|
Python
|
src/shadow_auth/__init__.py
|
ospinakamilo/pam_linux
|
85f6f65837e5a02e2a0ab5d4879a59b49220f156
|
[
"Apache-2.0"
] | null | null | null |
src/shadow_auth/__init__.py
|
ospinakamilo/pam_linux
|
85f6f65837e5a02e2a0ab5d4879a59b49220f156
|
[
"Apache-2.0"
] | null | null | null |
src/shadow_auth/__init__.py
|
ospinakamilo/pam_linux
|
85f6f65837e5a02e2a0ab5d4879a59b49220f156
|
[
"Apache-2.0"
] | null | null | null |
from shadow_auth._internal import (
Algorithm,
validate_with_hash,
validate_with_password,
generate_openssl_hash,
get_password_info,
PrerequisiteException,
InvalidArgumentType,
InvalidArgumentFormat,
ValidateUserError
)
__all__ = [
"Algorithm",
"validate_with_hash",
"validate_with_password",
"generate_openssl_hash",
"get_password_info",
"PrerequisiteException",
"InvalidArgumentType",
"InvalidArgumentFormat",
"ValidateUserError"
]
| 22
| 35
| 0.725296
| 40
| 506
| 8.625
| 0.475
| 0.13913
| 0.121739
| 0.144928
| 0.910145
| 0.910145
| 0.910145
| 0.910145
| 0.910145
| 0.910145
| 0
| 0
| 0.195652
| 506
| 23
| 36
| 22
| 0.847666
| 0
| 0
| 0
| 1
| 0
| 0.325444
| 0.167653
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.181818
| 0.045455
| 0
| 0.045455
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 8
|
24f8e7927ab6bbe180d1f69ebcbf16d121cc86d3
| 8,716
|
py
|
Python
|
authors/apps/articles/tests/test_report_articles.py
|
andela/Ah-backend-valkyrie
|
f0eb64c27e1fe37d5c81e4b9a8762dcf3c336a79
|
[
"BSD-3-Clause"
] | null | null | null |
authors/apps/articles/tests/test_report_articles.py
|
andela/Ah-backend-valkyrie
|
f0eb64c27e1fe37d5c81e4b9a8762dcf3c336a79
|
[
"BSD-3-Clause"
] | 46
|
2019-01-08T13:16:41.000Z
|
2021-04-30T20:47:08.000Z
|
authors/apps/articles/tests/test_report_articles.py
|
andela/Ah-backend-valkyrie
|
f0eb64c27e1fe37d5c81e4b9a8762dcf3c336a79
|
[
"BSD-3-Clause"
] | 3
|
2019-01-07T08:21:59.000Z
|
2019-09-20T06:43:18.000Z
|
import json
from rest_framework.reverse import reverse
from rest_framework import status
from authors.apps.authentication.tests.base import BaseTestMethods
from authors.apps.articles.models import Article, ReportArticle
from authors.apps.authentication.models import User
class TestReportArticle(BaseTestMethods):
def test_report_article(self):
"""Tests that a user reports an article"""
user = self.register_and_loginUser()
user2 = self.register_and_login_user2()
url = reverse(self.get_post_article_url)
self.client.credentials(
HTTP_AUTHORIZATION='Bearer ' + user.data.get('token'))
response = self.client.post(url, data=self.article, format='json')
data = {
"message": "This post violates the terms and conditions"
}
report_url = reverse('articles:report-article',
args=[response.data.get('slug')])
self.client.credentials(
HTTP_AUTHORIZATION='Bearer ' + user2.data.get('token'))
res = self.client.post(report_url, data=data)
self.assertGreater(len(res.data), 0)
self.assertEqual(res.status_code, status.HTTP_201_CREATED)
def test_user_cannot_report_own_article(self):
"""Tests that a user cannot report his own article"""
user = self.register_and_loginUser()
url = reverse(self.get_post_article_url)
self.client.credentials(
HTTP_AUTHORIZATION='Bearer ' + user.data.get('token'))
response = self.client.post(url, data=self.article, format='json')
data = {
"message": "This post violates the terms and conditions"
}
report_url = reverse('articles:report-article',
args=[response.data.get('slug')])
res = self.client.post(report_url, data=data)
self.assertEqual(
res.data.get('detail'),
'You cannot report your own article'
)
self.assertEqual(res.status_code, status.HTTP_406_NOT_ACCEPTABLE)
def test_report_article_without_message(self):
"""Tests that user cannot report article without a message"""
user = self.register_and_loginUser()
user2 = self.register_and_login_user2()
url = reverse(self.get_post_article_url)
self.client.credentials(
HTTP_AUTHORIZATION='Bearer ' + user.data.get('token'))
response = self.client.post(url, data=self.article, format='json')
data = {
"message": ""
}
report_url = reverse('articles:report-article',
args=[response.data.get('slug')])
self.client.credentials(
HTTP_AUTHORIZATION='Bearer ' + user2.data.get('token'))
res = self.client.post(report_url, data=data)
self.assertEqual(
res.data.get('errors').get('message')[0],
'This field may not be blank.'
)
self.assertEqual(res.status_code, status.HTTP_400_BAD_REQUEST)
def test_report_article_without_message_field(self):
"""Tests that user cannot report article without a message field"""
user = self.register_and_loginUser()
user2 = self.register_and_login_user2()
url = reverse(self.get_post_article_url)
self.client.credentials(
HTTP_AUTHORIZATION='Bearer ' + user.data.get('token'))
response = self.client.post(url, data=self.article, format='json')
report_url = reverse('articles:report-article',
args=[response.data.get('slug')])
self.client.credentials(
HTTP_AUTHORIZATION='Bearer ' + user2.data.get('token'))
res = self.client.post(report_url)
self.assertEqual(
res.data.get('errors').get('message')[0],
'This field may not be null.'
)
self.assertEqual(res.status_code, status.HTTP_400_BAD_REQUEST)
def test_report_article_with_non_existent_slug(self):
"""
Tests that user cannot report article without a slug
that does not exist in the database
"""
user = self.register_and_loginUser()
user2 = self.register_and_login_user2()
url = reverse(self.get_post_article_url)
self.client.credentials(
HTTP_AUTHORIZATION='Bearer ' + user.data.get('token'))
response = self.client.post(url, data=self.article, format='json')
data = {
"message": "This post violates the terms and conditions"
}
report_url = reverse('articles:report-article',
args=['non-existent-slug'])
self.client.credentials(
HTTP_AUTHORIZATION='Bearer ' + user2.data.get('token'))
res = self.client.post(report_url, data=data)
self.assertEqual(
res.data.get('detail'),
'Article with slug \'non-existent-slug\' was not found'
)
self.assertEqual(res.status_code, status.HTTP_404_NOT_FOUND)
def test_admin_can_get_reports_for_single_article(self):
"""Tests that admin can retrieve reports for a single article"""
user1 = self.register_and_loginUser()
user2 = self.register_and_login_user2()
admin = self.register_superuser()
url = reverse(self.get_post_article_url)
self.client.credentials(
HTTP_AUTHORIZATION='Bearer ' + user1.data.get('token'))
response = self.client.post(url, data=self.article, format='json')
data = {
"message": "This post violates the terms and conditions"
}
report_url = reverse(
'articles:report-article',
args=[response.data.get('slug')]
)
self.client.credentials(
HTTP_AUTHORIZATION='Bearer ' + user2.data.get('token'))
self.client.post(report_url, data=data)
self.client.credentials(
HTTP_AUTHORIZATION='Bearer ' + admin.token)
res = self.client.get(report_url)
self.assertEqual(
res.data[0].get('message'),
'This post violates the terms and conditions'
)
self.assertEqual(res.status_code, status.HTTP_200_OK)
def test_admin_can_get_reports_for_all_articles(self):
"""Tests that admin can retrieve reports for all articles"""
user1 = self.register_and_loginUser()
user2 = self.register_and_login_user2()
admin = self.register_superuser()
url = reverse(self.get_post_article_url)
self.client.credentials(
HTTP_AUTHORIZATION='Bearer ' + user1.data.get('token'))
response = self.client.post(url, data=self.article, format='json')
data = {
"message": "This post violates the terms and conditions"
}
report_url = reverse(
'articles:report-article',
args=[response.data.get('slug')]
)
self.client.credentials(
HTTP_AUTHORIZATION='Bearer ' + user2.data.get('token'))
self.client.post(report_url, data=data)
get_report_url = reverse('articles:reported-articles')
self.client.credentials(
HTTP_AUTHORIZATION='Bearer ' + admin.token)
res = self.client.get(get_report_url)
self.assertEqual(
res.data[0].get('message'),
'This post violates the terms and conditions'
)
self.assertEqual(res.status_code, status.HTTP_200_OK)
def test_non_admin_cannot_get_reports_for_articles(self):
"""Tests that a normal user cannot retrieve reports for articles"""
user1 = self.register_and_loginUser()
user2 = self.register_and_login_user2()
url = reverse(self.get_post_article_url)
self.client.credentials(
HTTP_AUTHORIZATION='Bearer ' + user1.data.get('token'))
response = self.client.post(url, data=self.article, format='json')
data = {
"message": "This post violates the terms and conditions"
}
report_url = reverse(
'articles:report-article',
args=[response.data.get('slug')]
)
self.client.credentials(
HTTP_AUTHORIZATION='Bearer ' + user2.data.get('token'))
self.client.post(report_url, data=data)
get_report_url = reverse('articles:reported-articles')
self.client.credentials(
HTTP_AUTHORIZATION='Bearer ' + user1.data.get('token'))
res = self.client.get(get_report_url)
self.assertEqual(
res.data.get('detail'),
'You are not authorized to access this resource'
)
self.assertEqual(res.status_code, status.HTTP_401_UNAUTHORIZED)
| 40.728972
| 75
| 0.626434
| 1,005
| 8,716
| 5.254726
| 0.108458
| 0.070062
| 0.071577
| 0.085211
| 0.863094
| 0.863094
| 0.836584
| 0.795683
| 0.780913
| 0.772581
| 0
| 0.008879
| 0.263424
| 8,716
| 213
| 76
| 40.920188
| 0.813707
| 0.05358
| 0
| 0.740113
| 0
| 0
| 0.139086
| 0.028844
| 0
| 0
| 0
| 0
| 0.090395
| 1
| 0.045198
| false
| 0
| 0.033898
| 0
| 0.084746
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
24fb119dbffb10912f45f959bf3334d68310a747
| 162
|
py
|
Python
|
Calculator.py
|
aboladebaba/calculatorTest
|
af8f3f22844cc5b881f2d8c3725e25211f30706c
|
[
"MIT"
] | null | null | null |
Calculator.py
|
aboladebaba/calculatorTest
|
af8f3f22844cc5b881f2d8c3725e25211f30706c
|
[
"MIT"
] | null | null | null |
Calculator.py
|
aboladebaba/calculatorTest
|
af8f3f22844cc5b881f2d8c3725e25211f30706c
|
[
"MIT"
] | null | null | null |
class Calculator:
def add(self, operand1, operand2):
return operand1 + operand2
def subtract(self, operand1, operand2):
return operand1 - operand2
| 18
| 41
| 0.716049
| 18
| 162
| 6.444444
| 0.5
| 0.551724
| 0.344828
| 0.448276
| 0.724138
| 0.724138
| 0
| 0
| 0
| 0
| 0
| 0.062016
| 0.203704
| 162
| 8
| 42
| 20.25
| 0.837209
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0
| 0
| 0.4
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 9
|
701aa057117a8a569fa96df2268f14aecda2f941
| 76
|
py
|
Python
|
cardinal/fixtures/fake_plugins/valid/plugin.py
|
LoLei/Cardinal
|
28081e3a192ef59a3ad715341cc190792d28ed84
|
[
"MIT"
] | 96
|
2015-01-24T00:00:45.000Z
|
2022-03-15T14:06:57.000Z
|
cardinal/fixtures/fake_plugins/valid/plugin.py
|
LoLei/Cardinal
|
28081e3a192ef59a3ad715341cc190792d28ed84
|
[
"MIT"
] | 166
|
2015-01-02T02:30:24.000Z
|
2022-03-24T20:03:55.000Z
|
cardinal/fixtures/fake_plugins/valid/plugin.py
|
LoLei/Cardinal
|
28081e3a192ef59a3ad715341cc190792d28ed84
|
[
"MIT"
] | 63
|
2015-02-13T06:46:01.000Z
|
2022-02-24T10:50:34.000Z
|
class TestValidPlugin:
pass
def setup():
return TestValidPlugin()
| 10.857143
| 28
| 0.697368
| 7
| 76
| 7.571429
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.223684
| 76
| 6
| 29
| 12.666667
| 0.898305
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| true
| 0.25
| 0
| 0.25
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 1
| 0
|
0
| 7
|
7021c2f3aafdb0a2e204cd07f11b69249f8c1aed
| 47
|
py
|
Python
|
src/simple_array_sum.py
|
yxtay/code-ex
|
aabcfd4741067a8515fe75441c10853b5724bc01
|
[
"MIT"
] | null | null | null |
src/simple_array_sum.py
|
yxtay/code-ex
|
aabcfd4741067a8515fe75441c10853b5724bc01
|
[
"MIT"
] | null | null | null |
src/simple_array_sum.py
|
yxtay/code-ex
|
aabcfd4741067a8515fe75441c10853b5724bc01
|
[
"MIT"
] | null | null | null |
def simple_array_sum(arr):
return sum(arr)
| 15.666667
| 26
| 0.723404
| 8
| 47
| 4
| 0.75
| 0.375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.170213
| 47
| 2
| 27
| 23.5
| 0.820513
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0.5
| 1
| 0
| 1
| 1
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 7
|
565a17e7bb6b575de0a917bda09cba188aa309bf
| 21,059
|
py
|
Python
|
src/oci/data_connectivity/data_connectivity_management_client_composite_operations.py
|
pabs3/oci-python-sdk
|
437ba18ce39af2d1090e277c4bb8750c89f83021
|
[
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null |
src/oci/data_connectivity/data_connectivity_management_client_composite_operations.py
|
pabs3/oci-python-sdk
|
437ba18ce39af2d1090e277c4bb8750c89f83021
|
[
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null |
src/oci/data_connectivity/data_connectivity_management_client_composite_operations.py
|
pabs3/oci-python-sdk
|
437ba18ce39af2d1090e277c4bb8750c89f83021
|
[
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null |
# coding: utf-8
# Copyright (c) 2016, 2022, Oracle and/or its affiliates. All rights reserved.
# This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license.
import oci # noqa: F401
from oci.util import WAIT_RESOURCE_NOT_FOUND # noqa: F401
class DataConnectivityManagementClientCompositeOperations(object):
"""
This class provides a wrapper around :py:class:`~oci.data_connectivity.DataConnectivityManagementClient` and offers convenience methods
for operations that would otherwise need to be chained together. For example, instead of performing an action
on a resource (e.g. launching an instance, creating a load balancer) and then using a waiter to wait for the resource
to enter a given state, you can call a single method in this class to accomplish the same functionality
"""
def __init__(self, client, **kwargs):
"""
Creates a new DataConnectivityManagementClientCompositeOperations object
:param DataConnectivityManagementClient client:
The service client which will be wrapped by this object
"""
self.client = client
def change_endpoint_compartment_and_wait_for_state(self, endpoint_id, change_endpoint_compartment_details, wait_for_states=[], operation_kwargs={}, waiter_kwargs={}):
"""
Calls :py:func:`~oci.data_connectivity.DataConnectivityManagementClient.change_endpoint_compartment` and waits for the :py:class:`~oci.data_connectivity.models.WorkRequest`
to enter the given state(s).
:param str endpoint_id: (required)
DCMS Endpoint id
:param oci.data_connectivity.models.ChangeEndpointCompartmentDetails change_endpoint_compartment_details: (required)
The details of change compartment action.
:param list[str] wait_for_states:
An array of states to wait on. These should be valid values for :py:attr:`~oci.data_connectivity.models.WorkRequest.status`
:param dict operation_kwargs:
A dictionary of keyword arguments to pass to :py:func:`~oci.data_connectivity.DataConnectivityManagementClient.change_endpoint_compartment`
:param dict waiter_kwargs:
A dictionary of keyword arguments to pass to the :py:func:`oci.wait_until` function. For example, you could pass ``max_interval_seconds`` or ``max_interval_seconds``
as dictionary keys to modify how long the waiter function will wait between retries and the maximum amount of time it will wait
"""
operation_result = self.client.change_endpoint_compartment(endpoint_id, change_endpoint_compartment_details, **operation_kwargs)
if not wait_for_states:
return operation_result
lowered_wait_for_states = [w.lower() for w in wait_for_states]
wait_for_resource_id = operation_result.headers['opc-work-request-id']
try:
waiter_result = oci.wait_until(
self.client,
self.client.get_work_request(wait_for_resource_id),
evaluate_response=lambda r: getattr(r.data, 'status') and getattr(r.data, 'status').lower() in lowered_wait_for_states,
**waiter_kwargs
)
result_to_return = waiter_result
return result_to_return
except Exception as e:
raise oci.exceptions.CompositeOperationError(partial_results=[operation_result], cause=e)
def change_registry_compartment_and_wait_for_state(self, registry_id, change_registry_compartment_details, wait_for_states=[], operation_kwargs={}, waiter_kwargs={}):
"""
Calls :py:func:`~oci.data_connectivity.DataConnectivityManagementClient.change_registry_compartment` and waits for the :py:class:`~oci.data_connectivity.models.WorkRequest`
to enter the given state(s).
:param str registry_id: (required)
The registry Ocid.
:param oci.data_connectivity.models.ChangeRegistryCompartmentDetails change_registry_compartment_details: (required)
The details of change compartment action.
:param list[str] wait_for_states:
An array of states to wait on. These should be valid values for :py:attr:`~oci.data_connectivity.models.WorkRequest.status`
:param dict operation_kwargs:
A dictionary of keyword arguments to pass to :py:func:`~oci.data_connectivity.DataConnectivityManagementClient.change_registry_compartment`
:param dict waiter_kwargs:
A dictionary of keyword arguments to pass to the :py:func:`oci.wait_until` function. For example, you could pass ``max_interval_seconds`` or ``max_interval_seconds``
as dictionary keys to modify how long the waiter function will wait between retries and the maximum amount of time it will wait
"""
operation_result = self.client.change_registry_compartment(registry_id, change_registry_compartment_details, **operation_kwargs)
if not wait_for_states:
return operation_result
lowered_wait_for_states = [w.lower() for w in wait_for_states]
wait_for_resource_id = operation_result.headers['opc-work-request-id']
try:
waiter_result = oci.wait_until(
self.client,
self.client.get_work_request(wait_for_resource_id),
evaluate_response=lambda r: getattr(r.data, 'status') and getattr(r.data, 'status').lower() in lowered_wait_for_states,
**waiter_kwargs
)
result_to_return = waiter_result
return result_to_return
except Exception as e:
raise oci.exceptions.CompositeOperationError(partial_results=[operation_result], cause=e)
def create_endpoint_and_wait_for_state(self, create_endpoint_details, wait_for_states=[], operation_kwargs={}, waiter_kwargs={}):
"""
Calls :py:func:`~oci.data_connectivity.DataConnectivityManagementClient.create_endpoint` and waits for the :py:class:`~oci.data_connectivity.models.WorkRequest`
to enter the given state(s).
:param oci.data_connectivity.models.CreateEndpointDetails create_endpoint_details: (required)
Details for the new Data Connectivity Management Endpoint.
:param list[str] wait_for_states:
An array of states to wait on. These should be valid values for :py:attr:`~oci.data_connectivity.models.WorkRequest.status`
:param dict operation_kwargs:
A dictionary of keyword arguments to pass to :py:func:`~oci.data_connectivity.DataConnectivityManagementClient.create_endpoint`
:param dict waiter_kwargs:
A dictionary of keyword arguments to pass to the :py:func:`oci.wait_until` function. For example, you could pass ``max_interval_seconds`` or ``max_interval_seconds``
as dictionary keys to modify how long the waiter function will wait between retries and the maximum amount of time it will wait
"""
operation_result = self.client.create_endpoint(create_endpoint_details, **operation_kwargs)
if not wait_for_states:
return operation_result
lowered_wait_for_states = [w.lower() for w in wait_for_states]
wait_for_resource_id = operation_result.headers['opc-work-request-id']
try:
waiter_result = oci.wait_until(
self.client,
self.client.get_work_request(wait_for_resource_id),
evaluate_response=lambda r: getattr(r.data, 'status') and getattr(r.data, 'status').lower() in lowered_wait_for_states,
**waiter_kwargs
)
result_to_return = waiter_result
return result_to_return
except Exception as e:
raise oci.exceptions.CompositeOperationError(partial_results=[operation_result], cause=e)
def create_registry_and_wait_for_state(self, create_registry_details, wait_for_states=[], operation_kwargs={}, waiter_kwargs={}):
"""
Calls :py:func:`~oci.data_connectivity.DataConnectivityManagementClient.create_registry` and waits for the :py:class:`~oci.data_connectivity.models.WorkRequest`
to enter the given state(s).
:param oci.data_connectivity.models.CreateRegistryDetails create_registry_details: (required)
Details for the new Data Connectivity Management Registry.
:param list[str] wait_for_states:
An array of states to wait on. These should be valid values for :py:attr:`~oci.data_connectivity.models.WorkRequest.status`
:param dict operation_kwargs:
A dictionary of keyword arguments to pass to :py:func:`~oci.data_connectivity.DataConnectivityManagementClient.create_registry`
:param dict waiter_kwargs:
A dictionary of keyword arguments to pass to the :py:func:`oci.wait_until` function. For example, you could pass ``max_interval_seconds`` or ``max_interval_seconds``
as dictionary keys to modify how long the waiter function will wait between retries and the maximum amount of time it will wait
"""
operation_result = self.client.create_registry(create_registry_details, **operation_kwargs)
if not wait_for_states:
return operation_result
lowered_wait_for_states = [w.lower() for w in wait_for_states]
wait_for_resource_id = operation_result.headers['opc-work-request-id']
try:
waiter_result = oci.wait_until(
self.client,
self.client.get_work_request(wait_for_resource_id),
evaluate_response=lambda r: getattr(r.data, 'status') and getattr(r.data, 'status').lower() in lowered_wait_for_states,
**waiter_kwargs
)
result_to_return = waiter_result
return result_to_return
except Exception as e:
raise oci.exceptions.CompositeOperationError(partial_results=[operation_result], cause=e)
def delete_endpoint_and_wait_for_state(self, endpoint_id, wait_for_states=[], operation_kwargs={}, waiter_kwargs={}):
"""
Calls :py:func:`~oci.data_connectivity.DataConnectivityManagementClient.delete_endpoint` and waits for the :py:class:`~oci.data_connectivity.models.WorkRequest`
to enter the given state(s).
:param str endpoint_id: (required)
DCMS Endpoint id
:param list[str] wait_for_states:
An array of states to wait on. These should be valid values for :py:attr:`~oci.data_connectivity.models.WorkRequest.status`
:param dict operation_kwargs:
A dictionary of keyword arguments to pass to :py:func:`~oci.data_connectivity.DataConnectivityManagementClient.delete_endpoint`
:param dict waiter_kwargs:
A dictionary of keyword arguments to pass to the :py:func:`oci.wait_until` function. For example, you could pass ``max_interval_seconds`` or ``max_interval_seconds``
as dictionary keys to modify how long the waiter function will wait between retries and the maximum amount of time it will wait
"""
operation_result = None
try:
operation_result = self.client.delete_endpoint(endpoint_id, **operation_kwargs)
except oci.exceptions.ServiceError as e:
if e.status == 404:
return WAIT_RESOURCE_NOT_FOUND
else:
raise e
if not wait_for_states:
return operation_result
lowered_wait_for_states = [w.lower() for w in wait_for_states]
wait_for_resource_id = operation_result.headers['opc-work-request-id']
try:
waiter_result = oci.wait_until(
self.client,
self.client.get_work_request(wait_for_resource_id),
evaluate_response=lambda r: getattr(r.data, 'status') and getattr(r.data, 'status').lower() in lowered_wait_for_states,
**waiter_kwargs
)
result_to_return = waiter_result
return result_to_return
except Exception as e:
raise oci.exceptions.CompositeOperationError(partial_results=[operation_result], cause=e)
def delete_registry_and_wait_for_state(self, registry_id, wait_for_states=[], operation_kwargs={}, waiter_kwargs={}):
"""
Calls :py:func:`~oci.data_connectivity.DataConnectivityManagementClient.delete_registry` and waits for the :py:class:`~oci.data_connectivity.models.WorkRequest`
to enter the given state(s).
:param str registry_id: (required)
The registry Ocid.
:param list[str] wait_for_states:
An array of states to wait on. These should be valid values for :py:attr:`~oci.data_connectivity.models.WorkRequest.status`
:param dict operation_kwargs:
A dictionary of keyword arguments to pass to :py:func:`~oci.data_connectivity.DataConnectivityManagementClient.delete_registry`
:param dict waiter_kwargs:
A dictionary of keyword arguments to pass to the :py:func:`oci.wait_until` function. For example, you could pass ``max_interval_seconds`` or ``max_interval_seconds``
as dictionary keys to modify how long the waiter function will wait between retries and the maximum amount of time it will wait
"""
operation_result = None
try:
operation_result = self.client.delete_registry(registry_id, **operation_kwargs)
except oci.exceptions.ServiceError as e:
if e.status == 404:
return WAIT_RESOURCE_NOT_FOUND
else:
raise e
if not wait_for_states:
return operation_result
lowered_wait_for_states = [w.lower() for w in wait_for_states]
wait_for_resource_id = operation_result.headers['opc-work-request-id']
try:
waiter_result = oci.wait_until(
self.client,
self.client.get_work_request(wait_for_resource_id),
evaluate_response=lambda r: getattr(r.data, 'status') and getattr(r.data, 'status').lower() in lowered_wait_for_states,
**waiter_kwargs
)
result_to_return = waiter_result
return result_to_return
except Exception as e:
raise oci.exceptions.CompositeOperationError(partial_results=[operation_result], cause=e)
def update_endpoint_and_wait_for_state(self, endpoint_id, update_endpoint_details, wait_for_states=[], operation_kwargs={}, waiter_kwargs={}):
"""
Calls :py:func:`~oci.data_connectivity.DataConnectivityManagementClient.update_endpoint` and waits for the :py:class:`~oci.data_connectivity.models.WorkRequest`
to enter the given state(s).
:param str endpoint_id: (required)
DCMS Endpoint id
:param oci.data_connectivity.models.UpdateEndpointDetails update_endpoint_details: (required)
The information to be updated.
:param list[str] wait_for_states:
An array of states to wait on. These should be valid values for :py:attr:`~oci.data_connectivity.models.WorkRequest.status`
:param dict operation_kwargs:
A dictionary of keyword arguments to pass to :py:func:`~oci.data_connectivity.DataConnectivityManagementClient.update_endpoint`
:param dict waiter_kwargs:
A dictionary of keyword arguments to pass to the :py:func:`oci.wait_until` function. For example, you could pass ``max_interval_seconds`` or ``max_interval_seconds``
as dictionary keys to modify how long the waiter function will wait between retries and the maximum amount of time it will wait
"""
operation_result = self.client.update_endpoint(endpoint_id, update_endpoint_details, **operation_kwargs)
if not wait_for_states:
return operation_result
lowered_wait_for_states = [w.lower() for w in wait_for_states]
wait_for_resource_id = operation_result.headers['opc-work-request-id']
try:
waiter_result = oci.wait_until(
self.client,
self.client.get_work_request(wait_for_resource_id),
evaluate_response=lambda r: getattr(r.data, 'status') and getattr(r.data, 'status').lower() in lowered_wait_for_states,
**waiter_kwargs
)
result_to_return = waiter_result
return result_to_return
except Exception as e:
raise oci.exceptions.CompositeOperationError(partial_results=[operation_result], cause=e)
def update_registry_and_wait_for_state(self, registry_id, update_registry_details, wait_for_states=[], operation_kwargs={}, waiter_kwargs={}):
"""
Calls :py:func:`~oci.data_connectivity.DataConnectivityManagementClient.update_registry` and waits for the :py:class:`~oci.data_connectivity.models.WorkRequest`
to enter the given state(s).
:param str registry_id: (required)
The registry Ocid.
:param oci.data_connectivity.models.UpdateRegistryDetails update_registry_details: (required)
The information to be updated.
:param list[str] wait_for_states:
An array of states to wait on. These should be valid values for :py:attr:`~oci.data_connectivity.models.WorkRequest.status`
:param dict operation_kwargs:
A dictionary of keyword arguments to pass to :py:func:`~oci.data_connectivity.DataConnectivityManagementClient.update_registry`
:param dict waiter_kwargs:
A dictionary of keyword arguments to pass to the :py:func:`oci.wait_until` function. For example, you could pass ``max_interval_seconds`` or ``max_interval_seconds``
as dictionary keys to modify how long the waiter function will wait between retries and the maximum amount of time it will wait
"""
operation_result = self.client.update_registry(registry_id, update_registry_details, **operation_kwargs)
if not wait_for_states:
return operation_result
lowered_wait_for_states = [w.lower() for w in wait_for_states]
wait_for_resource_id = operation_result.headers['opc-work-request-id']
try:
waiter_result = oci.wait_until(
self.client,
self.client.get_work_request(wait_for_resource_id),
evaluate_response=lambda r: getattr(r.data, 'status') and getattr(r.data, 'status').lower() in lowered_wait_for_states,
**waiter_kwargs
)
result_to_return = waiter_result
return result_to_return
except Exception as e:
raise oci.exceptions.CompositeOperationError(partial_results=[operation_result], cause=e)
def validate_data_asset_network_reachablity_and_wait_for_state(self, endpoint_id, wait_for_states=[], operation_kwargs={}, waiter_kwargs={}):
"""
Calls :py:func:`~oci.data_connectivity.DataConnectivityManagementClient.validate_data_asset_network_reachablity` and waits for the :py:class:`~oci.data_connectivity.models.WorkRequest`
to enter the given state(s).
:param str endpoint_id: (required)
DCMS Endpoint id
:param list[str] wait_for_states:
An array of states to wait on. These should be valid values for :py:attr:`~oci.data_connectivity.models.WorkRequest.status`
:param dict operation_kwargs:
A dictionary of keyword arguments to pass to :py:func:`~oci.data_connectivity.DataConnectivityManagementClient.validate_data_asset_network_reachablity`
:param dict waiter_kwargs:
A dictionary of keyword arguments to pass to the :py:func:`oci.wait_until` function. For example, you could pass ``max_interval_seconds`` or ``max_interval_seconds``
as dictionary keys to modify how long the waiter function will wait between retries and the maximum amount of time it will wait
"""
operation_result = self.client.validate_data_asset_network_reachablity(endpoint_id, **operation_kwargs)
if not wait_for_states:
return operation_result
lowered_wait_for_states = [w.lower() for w in wait_for_states]
wait_for_resource_id = operation_result.headers['opc-work-request-id']
try:
waiter_result = oci.wait_until(
self.client,
self.client.get_work_request(wait_for_resource_id),
evaluate_response=lambda r: getattr(r.data, 'status') and getattr(r.data, 'status').lower() in lowered_wait_for_states,
**waiter_kwargs
)
result_to_return = waiter_result
return result_to_return
except Exception as e:
raise oci.exceptions.CompositeOperationError(partial_results=[operation_result], cause=e)
| 53.313924
| 245
| 0.696804
| 2,643
| 21,059
| 5.314794
| 0.079834
| 0.040863
| 0.049975
| 0.042714
| 0.904606
| 0.897131
| 0.882964
| 0.878835
| 0.870506
| 0.860112
| 0
| 0.001662
| 0.228406
| 21,059
| 394
| 246
| 53.449239
| 0.862822
| 0.476138
| 0
| 0.813953
| 0
| 0
| 0.027984
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.05814
| false
| 0
| 0.011628
| 0
| 0.19186
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
56835f6319325d041a98263098ea82485b54326c
| 114
|
py
|
Python
|
kachery_cloud/get_client_id.py
|
scratchrealm/kachery-cloud
|
bf9c1f07c000e9726a0bf38afd3bedfdcd9a12b6
|
[
"Apache-2.0"
] | null | null | null |
kachery_cloud/get_client_id.py
|
scratchrealm/kachery-cloud
|
bf9c1f07c000e9726a0bf38afd3bedfdcd9a12b6
|
[
"Apache-2.0"
] | null | null | null |
kachery_cloud/get_client_id.py
|
scratchrealm/kachery-cloud
|
bf9c1f07c000e9726a0bf38afd3bedfdcd9a12b6
|
[
"Apache-2.0"
] | null | null | null |
from ._client_keys import _get_client_public_key_hex
def get_client_id():
return _get_client_public_key_hex()
| 28.5
| 52
| 0.842105
| 19
| 114
| 4.315789
| 0.578947
| 0.329268
| 0.365854
| 0.439024
| 0.512195
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.105263
| 114
| 4
| 53
| 28.5
| 0.803922
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| true
| 0
| 0.333333
| 0.333333
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 1
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| 0
| 0
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| 0
| 0
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| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 1
| 1
| 0
|
0
| 10
|
56a86c5126cb5c04a65902d75368f3b6d2cb75ed
| 4,479
|
py
|
Python
|
backend/api.py
|
wangyurzee7/SolegalCopycat
|
433ae436f2706673dfa8991350ca59668d6f80e4
|
[
"MIT"
] | null | null | null |
backend/api.py
|
wangyurzee7/SolegalCopycat
|
433ae436f2706673dfa8991350ca59668d6f80e4
|
[
"MIT"
] | null | null | null |
backend/api.py
|
wangyurzee7/SolegalCopycat
|
433ae436f2706673dfa8991350ca59668d6f80e4
|
[
"MIT"
] | null | null | null |
# SolegalCopycat Backend APIs.
# Author : Yazid Wong
# Time : 2020.05.17
import json
__bked__=None
'''
init()
[ Description ] Init for backend.
'''
def init(config_file="backend/config.json"):
config=json.load(open(config_file,"r"))
global __bked__
if "fake_backend" in config and config["fake_backend"]:
import backend.fake_backend
__bked__=backend.fake_backend
__bked__.init(config)
else:
from backend.backend import Backend
__bked__=Backend(config)
'''
search_authoritative(keyword, condition, ret_info, page, page_size)
[ Description ] Search authoritative cases.
[ Params ]
* keyword : A string, search keyword.
* condition : A dict, describing the screening condition:
* condition["type"] : A string. Type of authoritative case. Stored in field `LB`.
* condition["cause_of_action"] : A string list. Cause of action of the case. Stored in field `AJLB` (as a list). Notice that each case may have multiple causes.
* condition["region"] : A string. Source region of the case. Stored in field `XZQH_P`.
* condition["year"] : A string. Year of the case. Stored in field `LAND`.
* ret_info : A dict, returning information about the search. Contain field `total_num`, `total_pages`, `condition_list`(A dict, describing what options are available for each condition).
* page : An integer, page number. Default as 1.
* page_size : The number of cases per page. Default as 20.
[ Return Value ] A list, containing all search results' origin JSON object.
'''
def search_authoritative(keyword, condition, ret_info=None, page=1, page_size=20):
return __bked__.search_authoritative(keyword, condition, ret_info, int(page), page_size)
'''
search_common(keyword, condition, ret_info, page, page_size)
[ Description ] Search common cases.
[ Params ]
* keyword : A string, search keyword.
* condition : A dict, describing the screening condition:
* condition["cause_of_action"] : A string list. Cause of action of the case. Stored in field `AJLB` (as a list). Notice that each case may have multiple causes.
* condition["region"] : A string. Source region of the case. Stored in field `XZQH_P`.
* condition["court_level"] : A string. Level of court. Stored in field `FYJB`.
* condition["year"] : A string. Year of the case. Stored in field `LAND`.
* condition["judicial_procedure"] : A string. Judicial procedure of the case. Stored in field `SPCX`.
* condition["document_type"] : A string. Type of legal instrument. Stored in field `WSZL`.
* ret_info : A dict, returning information about the search. Contain field `total_num`, `total_pages`, `condition_list`(A dict, describing what options are available for each condition).
* page : An integer, page number. Default as 1.
* page_size : The number of cases per page. Default as 20.
[ Return Value ] A list, containing all search results' origin JSON object.
'''
def search_common(keyword, condition, ret_info=None, page=1, page_size=20):
return __bked__.search_common(keyword, condition, ret_info, int(page), page_size)
'''
get_authoritative_case_by_unique_id(unique_id)
[ Description ] Get authoritative case's origin JSON object by unique id.
[ Params ]
* unique_id : A string, the unique id, should be matched with field `unique-id`.
[ Return Value ] A dict, result's origin JSON object. If there's no case matched, return None.
'''
def get_authoritative_case_by_unique_id(unique_id):
return __bked__.get_authoritative_case_by_unique_id(unique_id)
'''
get_common_case_by_unique_id(unique_id)
[ Description ] Get common case's origin JSON object by unique id.
[ Params ]
* unique_id : A string, the unique id, should be matched with field `unique-id`.
[ Return Value ] A dict, result's origin JSON object. If there's no case matched, return None.
'''
def get_common_case_by_unique_id(unique_id):
return __bked__.get_common_case_by_unique_id(unique_id)
'''
get_common_case_by_reference_number(reference_number)
[ Description ] Get common case's origin JSON object by reference number.
[ Params ]
* reference_number : A string, the reference number, should be matched with field `AH`.
[ Return Value ] A dict, result's origin JSON object. If there's no case matched, return None.
'''
def get_common_case_by_reference_number(reference_number):
return __bked__.get_common_case_by_reference_number(reference_number)
| 49.21978
| 187
| 0.726948
| 648
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| 0.272727
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0
| 7
|
3b41a5e6d432175b940ab4fad4ac3ec9db57c13b
| 49,174
|
py
|
Python
|
python3/madasterapi/api/building_file_api.py
|
Madaster/examples
|
bd2e8e464172e0d47cac8ed1672501a24ba624c3
|
[
"MIT"
] | 2
|
2021-04-13T12:19:26.000Z
|
2021-09-13T15:40:44.000Z
|
python3/madasterapi/api/building_file_api.py
|
Madaster/examples
|
bd2e8e464172e0d47cac8ed1672501a24ba624c3
|
[
"MIT"
] | null | null | null |
python3/madasterapi/api/building_file_api.py
|
Madaster/examples
|
bd2e8e464172e0d47cac8ed1672501a24ba624c3
|
[
"MIT"
] | null | null | null |
"""
Madaster Private API - Build: 8815
Welcome to the **Madaster Private API** endpoint. This endpoint can be used to interact with the Madaster Platform and its resources. This API does not fully cover all functionality of the platform yet, please see below for the available functions and what they can be used for. For detailed information about the platform and this API, please refer to the [Madaster Documentation](https://docs.madaster.com) or the [Madaster API Documentation](https://docs.madaster.com/api).<br/><br/>To access these resources, you need an authorization token. If you do not have one yet, see the chapter about Authorization in the [API documentation](https://docs.madaster.com/api). This token should be sent as a header with the name 'X-API-Key', which will authenticate the request with the token. The documentation below specifies which requests are available and which responses they might produce.<br/><br/>This API can be reached at the endpoint: **[https://api.madaster.com/](https://api.madaster.com/)** # noqa: E501
The version of the OpenAPI document: v3.0
Contact: service@madaster.com
Generated by: https://openapi-generator.tech
"""
import re # noqa: F401
import sys # noqa: F401
from madasterapi.api_client import ApiClient, Endpoint as _Endpoint
from madasterapi.model_utils import ( # noqa: F401
check_allowed_values,
check_validations,
date,
datetime,
file_type,
none_type,
validate_and_convert_types
)
from madasterapi.model.building_file_request import BuildingFileRequest
from madasterapi.model.building_file_response import BuildingFileResponse
from madasterapi.model.building_file_status_response import BuildingFileStatusResponse
from madasterapi.model.file_download_response import FileDownloadResponse
class BuildingFileApi(object):
"""NOTE: This class is auto generated by OpenAPI Generator
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
def __init__(self, api_client=None):
if api_client is None:
api_client = ApiClient()
self.api_client = api_client
def __building_file_add_file(
self,
building_id,
**kwargs
):
"""Adds a building file # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.building_file_add_file(building_id, async_req=True)
>>> result = thread.get()
Args:
building_id (str): The building identifier
Keyword Args:
building_file_request (BuildingFileRequest): [optional]
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
BuildingFileResponse
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['building_id'] = \
building_id
return self.call_with_http_info(**kwargs)
self.building_file_add_file = _Endpoint(
settings={
'response_type': (BuildingFileResponse,),
'auth': [
'ApiKeyAuth'
],
'endpoint_path': '/api/v3.0/building/{buildingId}/files',
'operation_id': 'building_file_add_file',
'http_method': 'POST',
'servers': None,
},
params_map={
'all': [
'building_id',
'building_file_request',
],
'required': [
'building_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'building_id':
(str,),
'building_file_request':
(BuildingFileRequest,),
},
'attribute_map': {
'building_id': 'buildingId',
},
'location_map': {
'building_id': 'path',
'building_file_request': 'body',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [
'application/json',
'text/json',
'application/*+json'
]
},
api_client=api_client,
callable=__building_file_add_file
)
def __building_file_delete_file(
self,
building_id,
id,
**kwargs
):
"""Delete a building file # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.building_file_delete_file(building_id, id, async_req=True)
>>> result = thread.get()
Args:
building_id (str): The building identifier
id (str): The file identifier
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
None
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['building_id'] = \
building_id
kwargs['id'] = \
id
return self.call_with_http_info(**kwargs)
self.building_file_delete_file = _Endpoint(
settings={
'response_type': None,
'auth': [
'ApiKeyAuth'
],
'endpoint_path': '/api/v3.0/building/{buildingId}/files/{id}',
'operation_id': 'building_file_delete_file',
'http_method': 'DELETE',
'servers': None,
},
params_map={
'all': [
'building_id',
'id',
],
'required': [
'building_id',
'id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'building_id':
(str,),
'id':
(str,),
},
'attribute_map': {
'building_id': 'buildingId',
'id': 'id',
},
'location_map': {
'building_id': 'path',
'id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [],
'content_type': [],
},
api_client=api_client,
callable=__building_file_delete_file
)
def __building_file_download(
self,
building_id,
id,
**kwargs
):
"""Gets a download url for the building file # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.building_file_download(building_id, id, async_req=True)
>>> result = thread.get()
Args:
building_id (str): The building identifier
id (str): The file identifier
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
FileDownloadResponse
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['building_id'] = \
building_id
kwargs['id'] = \
id
return self.call_with_http_info(**kwargs)
self.building_file_download = _Endpoint(
settings={
'response_type': (FileDownloadResponse,),
'auth': [
'ApiKeyAuth'
],
'endpoint_path': '/api/v3.0/building/{buildingId}/files/{id}/download',
'operation_id': 'building_file_download',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'building_id',
'id',
],
'required': [
'building_id',
'id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'building_id':
(str,),
'id':
(str,),
},
'attribute_map': {
'building_id': 'buildingId',
'id': 'id',
},
'location_map': {
'building_id': 'path',
'id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__building_file_download
)
def __building_file_get_file_by_id(
self,
building_id,
id,
**kwargs
):
"""Gets a building file by its identifier # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.building_file_get_file_by_id(building_id, id, async_req=True)
>>> result = thread.get()
Args:
building_id (str): The building identifier
id (str): The file identifier
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
BuildingFileResponse
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['building_id'] = \
building_id
kwargs['id'] = \
id
return self.call_with_http_info(**kwargs)
self.building_file_get_file_by_id = _Endpoint(
settings={
'response_type': (BuildingFileResponse,),
'auth': [
'ApiKeyAuth'
],
'endpoint_path': '/api/v3.0/building/{buildingId}/files/{id}',
'operation_id': 'building_file_get_file_by_id',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'building_id',
'id',
],
'required': [
'building_id',
'id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'building_id':
(str,),
'id':
(str,),
},
'attribute_map': {
'building_id': 'buildingId',
'id': 'id',
},
'location_map': {
'building_id': 'path',
'id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__building_file_get_file_by_id
)
def __building_file_get_files(
self,
building_id,
**kwargs
):
"""Gets all building files # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.building_file_get_files(building_id, async_req=True)
>>> result = thread.get()
Args:
building_id (str): The building identifier
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
[BuildingFileResponse]
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['building_id'] = \
building_id
return self.call_with_http_info(**kwargs)
self.building_file_get_files = _Endpoint(
settings={
'response_type': ([BuildingFileResponse],),
'auth': [
'ApiKeyAuth'
],
'endpoint_path': '/api/v3.0/building/{buildingId}/files',
'operation_id': 'building_file_get_files',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'building_id',
],
'required': [
'building_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'building_id':
(str,),
},
'attribute_map': {
'building_id': 'buildingId',
},
'location_map': {
'building_id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__building_file_get_files
)
def __building_file_get_status_by_id(
self,
building_id,
id,
**kwargs
):
"""Gets a building file status by its identifier # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.building_file_get_status_by_id(building_id, id, async_req=True)
>>> result = thread.get()
Args:
building_id (str): The building identifier
id (str): The file identifier
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
BuildingFileStatusResponse
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['building_id'] = \
building_id
kwargs['id'] = \
id
return self.call_with_http_info(**kwargs)
self.building_file_get_status_by_id = _Endpoint(
settings={
'response_type': (BuildingFileStatusResponse,),
'auth': [
'ApiKeyAuth'
],
'endpoint_path': '/api/v3.0/building/{buildingId}/files/{id}/status',
'operation_id': 'building_file_get_status_by_id',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'building_id',
'id',
],
'required': [
'building_id',
'id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'building_id':
(str,),
'id':
(str,),
},
'attribute_map': {
'building_id': 'buildingId',
'id': 'id',
},
'location_map': {
'building_id': 'path',
'id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__building_file_get_status_by_id
)
def __building_file_set_active(
self,
building_id,
id,
**kwargs
):
"""Activates or deactivates a building file # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.building_file_set_active(building_id, id, async_req=True)
>>> result = thread.get()
Args:
building_id (str): The building identifier
id (str): The file identifier
Keyword Args:
body (bool): [optional]
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
BuildingFileResponse
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['building_id'] = \
building_id
kwargs['id'] = \
id
return self.call_with_http_info(**kwargs)
self.building_file_set_active = _Endpoint(
settings={
'response_type': (BuildingFileResponse,),
'auth': [
'ApiKeyAuth'
],
'endpoint_path': '/api/v3.0/building/{buildingId}/files/{id}/active',
'operation_id': 'building_file_set_active',
'http_method': 'POST',
'servers': None,
},
params_map={
'all': [
'building_id',
'id',
'body',
],
'required': [
'building_id',
'id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'building_id':
(str,),
'id':
(str,),
'body':
(bool,),
},
'attribute_map': {
'building_id': 'buildingId',
'id': 'id',
},
'location_map': {
'building_id': 'path',
'id': 'path',
'body': 'body',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [
'application/json',
'text/json',
'application/*+json'
]
},
api_client=api_client,
callable=__building_file_set_active
)
def __building_file_set_importing(
self,
building_id,
id,
**kwargs
):
"""Sets the status of a file to 'importing', so element can be added or updated can be made. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.building_file_set_importing(building_id, id, async_req=True)
>>> result = thread.get()
Args:
building_id (str): The building identifier
id (str): The file identifier
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
None
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['building_id'] = \
building_id
kwargs['id'] = \
id
return self.call_with_http_info(**kwargs)
self.building_file_set_importing = _Endpoint(
settings={
'response_type': None,
'auth': [
'ApiKeyAuth'
],
'endpoint_path': '/api/v3.0/building/{buildingId}/files/{id}/setimporting',
'operation_id': 'building_file_set_importing',
'http_method': 'POST',
'servers': None,
},
params_map={
'all': [
'building_id',
'id',
],
'required': [
'building_id',
'id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'building_id':
(str,),
'id':
(str,),
},
'attribute_map': {
'building_id': 'buildingId',
'id': 'id',
},
'location_map': {
'building_id': 'path',
'id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [],
'content_type': [],
},
api_client=api_client,
callable=__building_file_set_importing
)
def __building_file_start_refinement(
self,
building_id,
id,
**kwargs
):
"""Starts the refinement of a building file. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.building_file_start_refinement(building_id, id, async_req=True)
>>> result = thread.get()
Args:
building_id (str): The building identifier
id (str): The file identifier
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
None
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['building_id'] = \
building_id
kwargs['id'] = \
id
return self.call_with_http_info(**kwargs)
self.building_file_start_refinement = _Endpoint(
settings={
'response_type': None,
'auth': [
'ApiKeyAuth'
],
'endpoint_path': '/api/v3.0/building/{buildingId}/files/{id}/startrefinement',
'operation_id': 'building_file_start_refinement',
'http_method': 'POST',
'servers': None,
},
params_map={
'all': [
'building_id',
'id',
],
'required': [
'building_id',
'id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'building_id':
(str,),
'id':
(str,),
},
'attribute_map': {
'building_id': 'buildingId',
'id': 'id',
},
'location_map': {
'building_id': 'path',
'id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [],
'content_type': [],
},
api_client=api_client,
callable=__building_file_start_refinement
)
def __building_file_upload_file(
self,
building_id,
id,
file_name,
body,
**kwargs
):
"""Uploads a building file. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.building_file_upload_file(building_id, id, file_name, body, async_req=True)
>>> result = thread.get()
Args:
building_id (str): The building identifier
id (str): The file identifier
file_name (str, none_type): The file name
body (file_type):
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
None
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['building_id'] = \
building_id
kwargs['id'] = \
id
kwargs['file_name'] = \
file_name
kwargs['body'] = \
body
return self.call_with_http_info(**kwargs)
self.building_file_upload_file = _Endpoint(
settings={
'response_type': None,
'auth': [
'ApiKeyAuth'
],
'endpoint_path': '/api/v3.0/building/{buildingId}/files/{id}/upload/{fileName}',
'operation_id': 'building_file_upload_file',
'http_method': 'POST',
'servers': None,
},
params_map={
'all': [
'building_id',
'id',
'file_name',
'body',
],
'required': [
'building_id',
'id',
'file_name',
'body',
],
'nullable': [
'file_name',
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'building_id':
(str,),
'id':
(str,),
'file_name':
(str, none_type,),
'body':
(file_type,),
},
'attribute_map': {
'building_id': 'buildingId',
'id': 'id',
'file_name': 'fileName',
},
'location_map': {
'building_id': 'path',
'id': 'path',
'file_name': 'path',
'body': 'body',
},
'collection_format_map': {
}
},
headers_map={
'accept': [],
'content_type': [
'application/octet-stream'
]
},
api_client=api_client,
callable=__building_file_upload_file
)
| 36.862069
| 1,015
| 0.45703
| 4,225
| 49,174
| 5.062012
| 0.060118
| 0.046757
| 0.024314
| 0.025249
| 0.879787
| 0.862066
| 0.851499
| 0.84168
| 0.840885
| 0.8385
| 0
| 0.002938
| 0.460121
| 49,174
| 1,333
| 1,016
| 36.889722
| 0.802659
| 0.328914
| 0
| 0.702525
| 0
| 0
| 0.218272
| 0.050744
| 0
| 0
| 0
| 0
| 0
| 1
| 0.012075
| false
| 0
| 0.01427
| 0
| 0.038419
| 0
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| 0
| null | 0
| 0
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| 1
| 1
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| 0
|
0
| 8
|
3b4260ef6906624aa81de42c9e41a1583855095e
| 23,967
|
py
|
Python
|
evolved5g/swagger_client/api/cells_api.py
|
EVOLVED-5G/SDK-CLI
|
0f289c7b21c14c3e349164d21cc78d9b6af0a237
|
[
"Apache-2.0"
] | 3
|
2021-10-19T14:37:14.000Z
|
2021-11-01T10:43:33.000Z
|
evolved5g/swagger_client/api/cells_api.py
|
skolome/evolved5g_cli
|
b202a878befe22b8dda66ee05610408777f4f006
|
[
"Apache-2.0"
] | 14
|
2021-11-02T10:30:56.000Z
|
2022-03-10T11:30:59.000Z
|
evolved5g/swagger_client/api/cells_api.py
|
skolome/evolved5g_cli
|
b202a878befe22b8dda66ee05610408777f4f006
|
[
"Apache-2.0"
] | 1
|
2021-11-16T16:20:31.000Z
|
2021-11-16T16:20:31.000Z
|
# coding: utf-8
"""
NEF_Emulator
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501
OpenAPI spec version: 0.1.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from evolved5g.swagger_client.api_client import ApiClient
class CellsApi(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
Ref: https://github.com/swagger-api/swagger-codegen
"""
def __init__(self, api_client=None):
if api_client is None:
api_client = ApiClient()
self.api_client = api_client
def create_cell_api_v1_cells_post(self, body, **kwargs): # noqa: E501
"""Create Cell # noqa: E501
Create new cell. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_cell_api_v1_cells_post(body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param CellCreate body: (required)
:return: Cell
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.create_cell_api_v1_cells_post_with_http_info(body, **kwargs) # noqa: E501
else:
(data) = self.create_cell_api_v1_cells_post_with_http_info(body, **kwargs) # noqa: E501
return data
def create_cell_api_v1_cells_post_with_http_info(self, body, **kwargs): # noqa: E501
"""Create Cell # noqa: E501
Create new cell. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_cell_api_v1_cells_post_with_http_info(body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param CellCreate body: (required)
:return: Cell
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['body'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method create_cell_api_v1_cells_post" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'body' is set
if ('body' not in params or
params['body'] is None):
raise ValueError("Missing the required parameter `body` when calling `create_cell_api_v1_cells_post`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'body' in params:
body_params = params['body']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['OAuth2PasswordBearer'] # noqa: E501
return self.api_client.call_api(
'/api/v1/Cells', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='Cell', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def delete_cell_api_v1_cells_cell_id_delete(self, cell_id, **kwargs): # noqa: E501
"""Delete Cell # noqa: E501
Delete a cell. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_cell_api_v1_cells_cell_id_delete(cell_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str cell_id: The cell id of the cell you want to delete (required)
:return: Cell
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.delete_cell_api_v1_cells_cell_id_delete_with_http_info(cell_id, **kwargs) # noqa: E501
else:
(data) = self.delete_cell_api_v1_cells_cell_id_delete_with_http_info(cell_id, **kwargs) # noqa: E501
return data
def delete_cell_api_v1_cells_cell_id_delete_with_http_info(self, cell_id, **kwargs): # noqa: E501
"""Delete Cell # noqa: E501
Delete a cell. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_cell_api_v1_cells_cell_id_delete_with_http_info(cell_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str cell_id: The cell id of the cell you want to delete (required)
:return: Cell
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['cell_id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method delete_cell_api_v1_cells_cell_id_delete" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'cell_id' is set
if ('cell_id' not in params or
params['cell_id'] is None):
raise ValueError("Missing the required parameter `cell_id` when calling `delete_cell_api_v1_cells_cell_id_delete`") # noqa: E501
collection_formats = {}
path_params = {}
if 'cell_id' in params:
path_params['cell_id'] = params['cell_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['OAuth2PasswordBearer'] # noqa: E501
return self.api_client.call_api(
'/api/v1/Cells/{cell_id}', 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='Cell', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_by_gnb_id_api_v1_cells_by_gnbgnb_id_get(self, g_nb_id, **kwargs): # noqa: E501
"""Get By Gnb Id # noqa: E501
Get Cells of specifc gNB. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_by_gnb_id_api_v1_cells_by_gnbgnb_id_get(g_nb_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str g_nb_id: The gNB id of the gNB in hexadecimal format (required)
:return: list[Cell]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_by_gnb_id_api_v1_cells_by_gnbgnb_id_get_with_http_info(g_nb_id, **kwargs) # noqa: E501
else:
(data) = self.get_by_gnb_id_api_v1_cells_by_gnbgnb_id_get_with_http_info(g_nb_id, **kwargs) # noqa: E501
return data
def get_by_gnb_id_api_v1_cells_by_gnbgnb_id_get_with_http_info(self, g_nb_id, **kwargs): # noqa: E501
"""Get By Gnb Id # noqa: E501
Get Cells of specifc gNB. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_by_gnb_id_api_v1_cells_by_gnbgnb_id_get_with_http_info(g_nb_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str g_nb_id: The gNB id of the gNB in hexadecimal format (required)
:return: list[Cell]
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['g_nb_id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_by_gnb_id_api_v1_cells_by_gnbgnb_id_get" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'g_nb_id' is set
if ('g_nb_id' not in params or
params['g_nb_id'] is None):
raise ValueError("Missing the required parameter `g_nb_id` when calling `get_by_gnb_id_api_v1_cells_by_gnbgnb_id_get`") # noqa: E501
collection_formats = {}
path_params = {}
if 'g_nb_id' in params:
path_params['gNB_id'] = params['g_nb_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['OAuth2PasswordBearer'] # noqa: E501
return self.api_client.call_api(
'/api/v1/Cells/by_gNB/{gNB_id}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[Cell]', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def read_cell_api_v1_cells_cell_id_get(self, cell_id, **kwargs): # noqa: E501
"""Read Cell # noqa: E501
Get Cell by ID. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.read_cell_api_v1_cells_cell_id_get(cell_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str cell_id: The cell id of the cell you want to retrieve (required)
:return: Cell
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.read_cell_api_v1_cells_cell_id_get_with_http_info(cell_id, **kwargs) # noqa: E501
else:
(data) = self.read_cell_api_v1_cells_cell_id_get_with_http_info(cell_id, **kwargs) # noqa: E501
return data
def read_cell_api_v1_cells_cell_id_get_with_http_info(self, cell_id, **kwargs): # noqa: E501
"""Read Cell # noqa: E501
Get Cell by ID. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.read_cell_api_v1_cells_cell_id_get_with_http_info(cell_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str cell_id: The cell id of the cell you want to retrieve (required)
:return: Cell
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['cell_id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method read_cell_api_v1_cells_cell_id_get" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'cell_id' is set
if ('cell_id' not in params or
params['cell_id'] is None):
raise ValueError("Missing the required parameter `cell_id` when calling `read_cell_api_v1_cells_cell_id_get`") # noqa: E501
collection_formats = {}
path_params = {}
if 'cell_id' in params:
path_params['cell_id'] = params['cell_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['OAuth2PasswordBearer'] # noqa: E501
return self.api_client.call_api(
'/api/v1/Cells/{cell_id}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='Cell', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def read_cells_api_v1_cells_get(self, **kwargs): # noqa: E501
"""Read Cells # noqa: E501
Retrieve Cells. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.read_cells_api_v1_cells_get(async_req=True)
>>> result = thread.get()
:param async_req bool
:param int skip:
:param int limit:
:return: list[Cell]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.read_cells_api_v1_cells_get_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.read_cells_api_v1_cells_get_with_http_info(**kwargs) # noqa: E501
return data
def read_cells_api_v1_cells_get_with_http_info(self, **kwargs): # noqa: E501
"""Read Cells # noqa: E501
Retrieve Cells. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.read_cells_api_v1_cells_get_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:param int skip:
:param int limit:
:return: list[Cell]
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['skip', 'limit'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method read_cells_api_v1_cells_get" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
if 'skip' in params:
query_params.append(('skip', params['skip'])) # noqa: E501
if 'limit' in params:
query_params.append(('limit', params['limit'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['OAuth2PasswordBearer'] # noqa: E501
return self.api_client.call_api(
'/api/v1/Cells', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[Cell]', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def update_cell_api_v1_cells_cell_id_put(self, body, cell_id, **kwargs): # noqa: E501
"""Update Cell # noqa: E501
Update a cell. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_cell_api_v1_cells_cell_id_put(body, cell_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param CellUpdate body: (required)
:param str cell_id: The cell id of the cell you want to update (required)
:return: Cell
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.update_cell_api_v1_cells_cell_id_put_with_http_info(body, cell_id, **kwargs) # noqa: E501
else:
(data) = self.update_cell_api_v1_cells_cell_id_put_with_http_info(body, cell_id, **kwargs) # noqa: E501
return data
def update_cell_api_v1_cells_cell_id_put_with_http_info(self, body, cell_id, **kwargs): # noqa: E501
"""Update Cell # noqa: E501
Update a cell. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_cell_api_v1_cells_cell_id_put_with_http_info(body, cell_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param CellUpdate body: (required)
:param str cell_id: The cell id of the cell you want to update (required)
:return: Cell
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['body', 'cell_id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method update_cell_api_v1_cells_cell_id_put" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'body' is set
if ('body' not in params or
params['body'] is None):
raise ValueError("Missing the required parameter `body` when calling `update_cell_api_v1_cells_cell_id_put`") # noqa: E501
# verify the required parameter 'cell_id' is set
if ('cell_id' not in params or
params['cell_id'] is None):
raise ValueError("Missing the required parameter `cell_id` when calling `update_cell_api_v1_cells_cell_id_put`") # noqa: E501
collection_formats = {}
path_params = {}
if 'cell_id' in params:
path_params['cell_id'] = params['cell_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'body' in params:
body_params = params['body']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['OAuth2PasswordBearer'] # noqa: E501
return self.api_client.call_api(
'/api/v1/Cells/{cell_id}', 'PUT',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='Cell', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
| 38.656452
| 145
| 0.612175
| 2,982
| 23,967
| 4.600604
| 0.057679
| 0.051899
| 0.039361
| 0.033676
| 0.959764
| 0.954661
| 0.939646
| 0.924995
| 0.911582
| 0.892558
| 0
| 0.020052
| 0.298786
| 23,967
| 619
| 146
| 38.718901
| 0.796263
| 0.314808
| 0
| 0.790274
| 1
| 0
| 0.185146
| 0.061517
| 0
| 0
| 0
| 0
| 0
| 1
| 0.039514
| false
| 0.018237
| 0.012158
| 0
| 0.109422
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
3b4c7667ff47714c8ac5c643015cf2c3fdd53dc4
| 2,141
|
py
|
Python
|
tests/three/test_account.py
|
Cologler/ezapi-tmdb
|
6a8a1a0a3da99cb18d11f47f1b40bbffb2a16be6
|
[
"MIT"
] | 4
|
2017-05-16T02:30:52.000Z
|
2021-07-01T13:21:27.000Z
|
tests/three/test_account.py
|
Cologler/ezapi-tmdb
|
6a8a1a0a3da99cb18d11f47f1b40bbffb2a16be6
|
[
"MIT"
] | 4
|
2020-09-03T03:19:49.000Z
|
2021-12-21T05:24:04.000Z
|
tests/three/test_account.py
|
Cologler/ezapi-tmdb
|
6a8a1a0a3da99cb18d11f47f1b40bbffb2a16be6
|
[
"MIT"
] | 3
|
2021-02-15T18:13:08.000Z
|
2021-04-10T03:53:58.000Z
|
import pytest
from . import polite
media_type, media_id = "movie", 550
@polite
def test_get_account_details(tmdb, session_id):
assert tmdb.get_account_details(session_id=session_id) is not None
@polite
def test_get_account_lists(tmdb, account_id, session_id):
assert tmdb.get_account_lists(account_id, session_id=session_id) is not None
@polite
def test_get_account_favorite_movies(tmdb, account_id, session_id):
assert (
tmdb.get_account_favorite_movies(account_id, session_id=session_id) is not None
)
@polite
def test_get_account_favorite_tvs(tmdb, account_id, session_id):
assert tmdb.get_account_favorite_tvs(account_id, session_id=session_id) is not None
@polite
@pytest.mark.parametrize("favorite", [True, False])
def test_mark_as_favorite(tmdb, account_id, session_id, favorite):
assert (
tmdb.mark_as_favorite(
account_id, media_type, media_id, favorite, session_id=session_id
)
is not None
)
@polite
def test_get_account_rated_movies(tmdb, account_id, session_id):
assert tmdb.get_account_rated_movies(account_id, session_id=session_id) is not None
@polite
def test_get_account_rated_tvs(tmdb, account_id, session_id):
assert tmdb.get_account_rated_tvs(account_id, session_id=session_id) is not None
@polite
def test_get_account_rated_tv_episodes(tmdb, account_id, session_id):
assert (
tmdb.get_account_rated_tv_episodes(account_id, session_id=session_id)
is not None
)
@polite
def test_get_account_movie_watchlist(tmdb, account_id, session_id):
assert (
tmdb.get_account_movie_watchlist(account_id, session_id=session_id) is not None
)
@polite
def test_get_account_tv_watchlist(tmdb, account_id, session_id):
assert tmdb.get_account_tv_watchlist(account_id, session_id=session_id) is not None
@polite
@pytest.mark.parametrize("watchlist", [True, False])
def test_add_to_watchlist(tmdb, account_id, session_id, watchlist):
assert (
tmdb.add_to_watchlist(
account_id, media_type, media_id, watchlist, session_id=session_id
)
is not None
)
| 26.7625
| 87
| 0.759458
| 322
| 2,141
| 4.645963
| 0.108696
| 0.198529
| 0.213235
| 0.216578
| 0.836898
| 0.793449
| 0.71992
| 0.701872
| 0.701872
| 0.673797
| 0
| 0.001675
| 0.163475
| 2,141
| 79
| 88
| 27.101266
| 0.833613
| 0
| 0
| 0.345455
| 0
| 0
| 0.010276
| 0
| 0
| 0
| 0
| 0
| 0.2
| 1
| 0.2
| false
| 0
| 0.036364
| 0
| 0.236364
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
3b80fdbfce4958eb7f0593090170e11e0ec895d5
| 128
|
py
|
Python
|
omoide/domain/__init__.py
|
IgorZyktin/Omoide
|
7ae27c5f1629079b15c3855861710b5eee8dd1dd
|
[
"MIT"
] | null | null | null |
omoide/domain/__init__.py
|
IgorZyktin/Omoide
|
7ae27c5f1629079b15c3855861710b5eee8dd1dd
|
[
"MIT"
] | 32
|
2021-09-02T06:38:59.000Z
|
2021-10-17T07:44:10.000Z
|
omoide/domain/__init__.py
|
IgorZyktin/Omoide
|
7ae27c5f1629079b15c3855861710b5eee8dd1dd
|
[
"MIT"
] | 1
|
2021-08-28T11:17:55.000Z
|
2021-08-28T11:17:55.000Z
|
# -*- coding: utf-8 -*-
from omoide.domain.query import Query
from omoide.domain.search_results import SimpleItem, SearchResult
| 32
| 65
| 0.78125
| 17
| 128
| 5.823529
| 0.705882
| 0.20202
| 0.323232
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.008772
| 0.109375
| 128
| 3
| 66
| 42.666667
| 0.859649
| 0.164063
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
8e8fecd24ef3f03ebb6241eaef25e24ad764fb0b
| 18,402
|
py
|
Python
|
tasks-deploy/anomaly/generate.py
|
chankruze/qctf-school-2018
|
1e732cf264ee0a94bc2fc1fd8cf3a20660d57605
|
[
"MIT"
] | null | null | null |
tasks-deploy/anomaly/generate.py
|
chankruze/qctf-school-2018
|
1e732cf264ee0a94bc2fc1fd8cf3a20660d57605
|
[
"MIT"
] | null | null | null |
tasks-deploy/anomaly/generate.py
|
chankruze/qctf-school-2018
|
1e732cf264ee0a94bc2fc1fd8cf3a20660d57605
|
[
"MIT"
] | null | null | null |
tokens = ['3f8abb08b74486706f7dc004ea99b2ec', '4e81889e79bd14015f8f7aa3f9ec3bb3', '7bae5af0838f38db515d9318fd3ad156', 'ccc38d6c9c6a6d78fac535da4cfe185e', '6b6d79faab0903507e71349b7fc9ccb1', '0f40b7ed4f3121424717375e87b98ad2', 'bf5cc16f3ab12415c851cc6ed133584f', '73eed52c6a3fa88f3427bceae67c0524', '6188e4428265fecdf980b02d2b24b596', '3b9dafc87a6204eb72150555223cbc82', '3c14ff173e437ccf853d598be33c9310', 'c162e505fe811c9d2a2b5299ad39d0f4', '92010d5d8ba93822a1202e52159448da', 'ed24a2dd469e77235454ef51f9735cbd', '0c36c4fb4c3ef95757ddb66b90481e97', '531ce03f5970d60af44844380bfcf7e4', 'ef913a844eebf2073b1402015adab3f9', '5a2e87cc66c5d4a71210fe1153f24236', '1212b4d3d3f3366aa59f5d1c221a05c3', '9562e0bff2005e818797ee0a2211aa8e', 'eb965a9b79f77ebd0163c639049cc81d', 'fa8163fd8fec1838a578542c8b7cdcfd', '7872351a7773dabf361a3c5507a70d91', '6e8185027bc80406402fa5cc787b94f3', '4cbb18e977092c7b1cbddefd98896d4b', '5b48709a3af401a4f9445f78b2d3a89f', 'a4ba6b931575ebc4d8d13e0ff093e3b2', 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'c58a1274424630629e98bf855b11a515', '823e2e5e6e5663e1de7c49df0a38fe28', 'a60b98c86d934886748a402507fcbdbc', '9fffffacff9573f3534c08ee2c5d14ee', '2fde197468297f918fcddd8e77947b83', '5158e91efd48f43770d91ca9c9269c59', 'd46a5527b8b06e7d1a765a7ceb38626d', 'a07c6c6972c5d618d0c705ad84ddecd4', '42737cb0b7beab192fc25f12acf744e5', 'a4343093f0f78ab48394d836e8096feb', 'aaa1831c2c21956642230c392d27090c', 'f274d3e8655fbb9e0ab143ace199e93e', '881aeabfdc863466723fa1a86a7128ae', '80e0945d2ba6e40dfa99eb2a5daf19ac']
TITLE = "Проверка слуха"
STATEMENT_TEMPLATE = '''
Мы записали звуки, исходящие из аномалии.
Возможно, где-то между ними спрятана секретная информация.
[sound.wav](/static/files/f5eke7i6pg/{0}/sound.wav)
'''
def generate(context):
participant = context['participant']
token = tokens[participant.id % len(tokens)]
return TaskStatement(TITLE, STATEMENT_TEMPLATE.format(token))
| 1,082.470588
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0
| 7
|
8edf2cd04c5a9a99af7c5b0d59db4e78b36bc99d
| 51,705
|
py
|
Python
|
opensilexClientToolsPython/api/brapi_api.py
|
OpenSILEX/opensilexClientToolsPython
|
41b1e7e707670ecf1b2c06d79bdd9749945788cb
|
[
"RSA-MD"
] | null | null | null |
opensilexClientToolsPython/api/brapi_api.py
|
OpenSILEX/opensilexClientToolsPython
|
41b1e7e707670ecf1b2c06d79bdd9749945788cb
|
[
"RSA-MD"
] | 7
|
2021-05-25T14:06:04.000Z
|
2021-11-05T15:42:14.000Z
|
opensilexClientToolsPython/api/brapi_api.py
|
OpenSILEX/opensilexClientToolsPython
|
41b1e7e707670ecf1b2c06d79bdd9749945788cb
|
[
"RSA-MD"
] | null | null | null |
# coding: utf-8
"""
OpenSilex API
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501
OpenAPI spec version: INSTANCE-SNAPSHOT
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from opensilexClientToolsPython.api_client import ApiClient
class BRAPIApi(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
Ref: https://github.com/swagger-api/swagger-codegen
"""
def __init__(self, api_client=None):
if api_client is None:
api_client = ApiClient()
self.api_client = api_client
def get_calls(self, **kwargs): # noqa: E501
"""Check the available BrAPI calls # noqa: E501
Check the available BrAPI calls # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_calls(async_req=True)
>>> result = thread.get()
:param async_req bool
:param int page: Page number
:param int page_size: Page size
:param str data_type: datatype
:return: list[Call]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_calls_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.get_calls_with_http_info(**kwargs) # noqa: E501
return data
def get_calls_with_http_info(self, **kwargs): # noqa: E501
"""Check the available BrAPI calls # noqa: E501
Check the available BrAPI calls # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_calls_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:param int page: Page number
:param int page_size: Page size
:param str data_type: datatype
:return: list[Call]
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['page', 'page_size', 'data_type'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_calls" % key
)
params[key] = val
del params['kwargs']
if 'page' in params and params['page'] < 0: # noqa: E501
raise ValueError("Invalid value for parameter `page` when calling `get_calls`, must be a value greater than or equal to `0`") # noqa: E501
if 'page_size' in params and params['page_size'] < 0: # noqa: E501
raise ValueError("Invalid value for parameter `page_size` when calling `get_calls`, must be a value greater than or equal to `0`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
if 'page' in params:
query_params.append(('page', params['page'])) # noqa: E501
if 'page_size' in params:
query_params.append(('pageSize', params['page_size'])) # noqa: E501
if 'data_type' in params:
query_params.append(('dataType', params['data_type'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/brapi/v1/calls', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[Call]', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_germplasm_by_search(self, **kwargs): # noqa: E501
"""Submit a search request for germplasm # noqa: E501
# noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_germplasm_by_search(async_req=True)
>>> result = thread.get()
:param async_req bool
:param str authorization: Authentication token (required)
:param str germplasm_db_id: Search by germplasmDbId
:param str germplasm_pui: Search by germplasmPUI
:param str germplasm_name: Search by germplasmName
:param str common_crop_name: Search by commonCropName
:param int page: Page number
:param int page_size: Page size
:param str accept_language: Request accepted language
:return: GermplasmDTO
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_germplasm_by_search_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.get_germplasm_by_search_with_http_info(**kwargs) # noqa: E501
return data
def get_germplasm_by_search_with_http_info(self, **kwargs): # noqa: E501
"""Submit a search request for germplasm # noqa: E501
# noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_germplasm_by_search_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:param str authorization: Authentication token (required)
:param str germplasm_db_id: Search by germplasmDbId
:param str germplasm_pui: Search by germplasmPUI
:param str germplasm_name: Search by germplasmName
:param str common_crop_name: Search by commonCropName
:param int page: Page number
:param int page_size: Page size
:param str accept_language: Request accepted language
:return: GermplasmDTO
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['germplasm_db_id', 'germplasm_pui', 'germplasm_name', 'common_crop_name', 'page', 'page_size', ] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_germplasm_by_search" % key
)
params[key] = val
del params['kwargs']
if 'page' in params and params['page'] < 0: # noqa: E501
raise ValueError("Invalid value for parameter `page` when calling `get_germplasm_by_search`, must be a value greater than or equal to `0`") # noqa: E501
if 'page_size' in params and params['page_size'] < 0: # noqa: E501
raise ValueError("Invalid value for parameter `page_size` when calling `get_germplasm_by_search`, must be a value greater than or equal to `0`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
if 'germplasm_db_id' in params:
query_params.append(('germplasmDbId', params['germplasm_db_id'])) # noqa: E501
if 'germplasm_pui' in params:
query_params.append(('germplasmPUI', params['germplasm_pui'])) # noqa: E501
if 'germplasm_name' in params:
query_params.append(('germplasmName', params['germplasm_name'])) # noqa: E501
if 'common_crop_name' in params:
query_params.append(('commonCropName', params['common_crop_name'])) # noqa: E501
if 'page' in params:
query_params.append(('page', params['page'])) # noqa: E501
if 'page_size' in params:
query_params.append(('page_size', params['page_size'])) # noqa: E501
header_params = {}
#if 'authorization' in params:
# header_params['Authorization'] = params['authorization'] # noqa: E501
#if 'accept_language' in params:
# header_params['Accept-Language'] = params['accept_language'] # noqa: E501
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/brapi/v1/germplasm', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='GermplasmDTO', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_observation_units(self, study_db_id, **kwargs): # noqa: E501
"""List all the observation units measured in the study. # noqa: E501
List all the observation units measured in the study. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_observation_units(study_db_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str study_db_id: studyDbId (required)
:param str authorization: Authentication token (required)
:param str observation_level: observationLevel
:param int page_size: pageSize
:param int page: page
:param str accept_language: Request accepted language
:return: list[ObservationUnitDTO]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_observation_units_with_http_info(study_db_id, **kwargs) # noqa: E501
else:
(data) = self.get_observation_units_with_http_info(study_db_id, **kwargs) # noqa: E501
return data
def get_observation_units_with_http_info(self, study_db_id, **kwargs): # noqa: E501
"""List all the observation units measured in the study. # noqa: E501
List all the observation units measured in the study. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_observation_units_with_http_info(study_db_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str study_db_id: studyDbId (required)
:param str authorization: Authentication token (required)
:param str observation_level: observationLevel
:param int page_size: pageSize
:param int page: page
:param str accept_language: Request accepted language
:return: list[ObservationUnitDTO]
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['study_db_id', 'observation_level', 'page_size', 'page', ] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_observation_units" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'study_db_id' is set
if ('study_db_id' not in params or
params['study_db_id'] is None):
raise ValueError("Missing the required parameter `study_db_id` when calling `get_observation_units`") # noqa: E501
if 'page_size' in params and params['page_size'] < 0: # noqa: E501
raise ValueError("Invalid value for parameter `page_size` when calling `get_observation_units`, must be a value greater than or equal to `0`") # noqa: E501
if 'page' in params and params['page'] < 0: # noqa: E501
raise ValueError("Invalid value for parameter `page` when calling `get_observation_units`, must be a value greater than or equal to `0`") # noqa: E501
collection_formats = {}
path_params = {}
if 'study_db_id' in params:
path_params['studyDbId'] = params['study_db_id'] # noqa: E501
query_params = []
if 'observation_level' in params:
query_params.append(('observationLevel', params['observation_level'])) # noqa: E501
if 'page_size' in params:
query_params.append(('pageSize', params['page_size'])) # noqa: E501
if 'page' in params:
query_params.append(('page', params['page'])) # noqa: E501
header_params = {}
#if 'authorization' in params:
# header_params['Authorization'] = params['authorization'] # noqa: E501
#if 'accept_language' in params:
# header_params['Accept-Language'] = params['accept_language'] # noqa: E501
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/brapi/v1/studies/{studyDbId}/observationunits', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[ObservationUnitDTO]', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_observation_variables(self, study_db_id, **kwargs): # noqa: E501
"""List all the observation variables measured in the study. # noqa: E501
List all the observation variables measured in the study. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_observation_variables(study_db_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str study_db_id: studyDbId (required)
:param str authorization: Authentication token (required)
:param int page_size: pageSize
:param int page: page
:param str accept_language: Request accepted language
:return: list[ObservationVariableDTO]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_observation_variables_with_http_info(study_db_id, **kwargs) # noqa: E501
else:
(data) = self.get_observation_variables_with_http_info(study_db_id, **kwargs) # noqa: E501
return data
def get_observation_variables_with_http_info(self, study_db_id, **kwargs): # noqa: E501
"""List all the observation variables measured in the study. # noqa: E501
List all the observation variables measured in the study. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_observation_variables_with_http_info(study_db_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str study_db_id: studyDbId (required)
:param str authorization: Authentication token (required)
:param int page_size: pageSize
:param int page: page
:param str accept_language: Request accepted language
:return: list[ObservationVariableDTO]
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['study_db_id', 'page_size', 'page', ] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_observation_variables" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'study_db_id' is set
if ('study_db_id' not in params or
params['study_db_id'] is None):
raise ValueError("Missing the required parameter `study_db_id` when calling `get_observation_variables`") # noqa: E501
if 'page_size' in params and params['page_size'] < 0: # noqa: E501
raise ValueError("Invalid value for parameter `page_size` when calling `get_observation_variables`, must be a value greater than or equal to `0`") # noqa: E501
if 'page' in params and params['page'] < 0: # noqa: E501
raise ValueError("Invalid value for parameter `page` when calling `get_observation_variables`, must be a value greater than or equal to `0`") # noqa: E501
collection_formats = {}
path_params = {}
if 'study_db_id' in params:
path_params['studyDbId'] = params['study_db_id'] # noqa: E501
query_params = []
if 'page_size' in params:
query_params.append(('pageSize', params['page_size'])) # noqa: E501
if 'page' in params:
query_params.append(('page', params['page'])) # noqa: E501
header_params = {}
#if 'authorization' in params:
# header_params['Authorization'] = params['authorization'] # noqa: E501
#if 'accept_language' in params:
# header_params['Accept-Language'] = params['accept_language'] # noqa: E501
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/brapi/v1/studies/{studyDbId}/observationvariables', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[ObservationVariableDTO]', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_observations(self, study_db_id, **kwargs): # noqa: E501
"""Get the observations associated to a specific study # noqa: E501
Get the observations associated to a specific study # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_observations(study_db_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str study_db_id: studyDbId (required)
:param str authorization: Authentication token (required)
:param list[str] observation_variable_db_ids: observationVariableDbIds
:param int page_size: pageSize
:param int page: page
:param str accept_language: Request accepted language
:return: list[ObservationDTO]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_observations_with_http_info(study_db_id, **kwargs) # noqa: E501
else:
(data) = self.get_observations_with_http_info(study_db_id, **kwargs) # noqa: E501
return data
def get_observations_with_http_info(self, study_db_id, **kwargs): # noqa: E501
"""Get the observations associated to a specific study # noqa: E501
Get the observations associated to a specific study # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_observations_with_http_info(study_db_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str study_db_id: studyDbId (required)
:param str authorization: Authentication token (required)
:param list[str] observation_variable_db_ids: observationVariableDbIds
:param int page_size: pageSize
:param int page: page
:param str accept_language: Request accepted language
:return: list[ObservationDTO]
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['study_db_id', 'observation_variable_db_ids', 'page_size', 'page', ] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_observations" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'study_db_id' is set
if ('study_db_id' not in params or
params['study_db_id'] is None):
raise ValueError("Missing the required parameter `study_db_id` when calling `get_observations`") # noqa: E501
if 'page_size' in params and params['page_size'] < 0: # noqa: E501
raise ValueError("Invalid value for parameter `page_size` when calling `get_observations`, must be a value greater than or equal to `0`") # noqa: E501
if 'page' in params and params['page'] < 0: # noqa: E501
raise ValueError("Invalid value for parameter `page` when calling `get_observations`, must be a value greater than or equal to `0`") # noqa: E501
collection_formats = {}
path_params = {}
if 'study_db_id' in params:
path_params['studyDbId'] = params['study_db_id'] # noqa: E501
query_params = []
if 'observation_variable_db_ids' in params:
query_params.append(('observationVariableDbIds', params['observation_variable_db_ids'])) # noqa: E501
collection_formats['observationVariableDbIds'] = 'multi' # noqa: E501
if 'page_size' in params:
query_params.append(('pageSize', params['page_size'])) # noqa: E501
if 'page' in params:
query_params.append(('page', params['page'])) # noqa: E501
header_params = {}
#if 'authorization' in params:
# header_params['Authorization'] = params['authorization'] # noqa: E501
#if 'accept_language' in params:
# header_params['Accept-Language'] = params['accept_language'] # noqa: E501
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/brapi/v1/studies/{studyDbId}/observations', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[ObservationDTO]', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_studies(self, **kwargs): # noqa: E501
"""Retrieve studies information # noqa: E501
Retrieve studies information # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_studies(async_req=True)
>>> result = thread.get()
:param async_req bool
:param str authorization: Authentication token (required)
:param str study_db_id: Search by studyDbId
:param str active: Filter active status true/false
:param str sort_by: Name of the field to sort by: studyDbId, active
:param str sort_order: Sort order direction - ASC or DESC
:param int page: Page number
:param int page_size: Page size
:param str accept_language: Request accepted language
:return: list[StudyDTO]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_studies_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.get_studies_with_http_info(**kwargs) # noqa: E501
return data
def get_studies_with_http_info(self, **kwargs): # noqa: E501
"""Retrieve studies information # noqa: E501
Retrieve studies information # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_studies_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:param str authorization: Authentication token (required)
:param str study_db_id: Search by studyDbId
:param str active: Filter active status true/false
:param str sort_by: Name of the field to sort by: studyDbId, active
:param str sort_order: Sort order direction - ASC or DESC
:param int page: Page number
:param int page_size: Page size
:param str accept_language: Request accepted language
:return: list[StudyDTO]
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['study_db_id', 'active', 'sort_by', 'sort_order', 'page', 'page_size', ] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_studies" % key
)
params[key] = val
del params['kwargs']
if 'page' in params and params['page'] < 0: # noqa: E501
raise ValueError("Invalid value for parameter `page` when calling `get_studies`, must be a value greater than or equal to `0`") # noqa: E501
if 'page_size' in params and params['page_size'] < 0: # noqa: E501
raise ValueError("Invalid value for parameter `page_size` when calling `get_studies`, must be a value greater than or equal to `0`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
if 'study_db_id' in params:
query_params.append(('studyDbId', params['study_db_id'])) # noqa: E501
if 'active' in params:
query_params.append(('active', params['active'])) # noqa: E501
if 'sort_by' in params:
query_params.append(('sortBy', params['sort_by'])) # noqa: E501
if 'sort_order' in params:
query_params.append(('sortOrder', params['sort_order'])) # noqa: E501
if 'page' in params:
query_params.append(('page', params['page'])) # noqa: E501
if 'page_size' in params:
query_params.append(('pageSize', params['page_size'])) # noqa: E501
header_params = {}
#if 'authorization' in params:
# header_params['Authorization'] = params['authorization'] # noqa: E501
#if 'accept_language' in params:
# header_params['Accept-Language'] = params['accept_language'] # noqa: E501
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/brapi/v1/studies', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[StudyDTO]', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_studies_search(self, **kwargs): # noqa: E501
"""Retrieve studies information # noqa: E501
Retrieve studies information # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_studies_search(async_req=True)
>>> result = thread.get()
:param async_req bool
:param str authorization: Authentication token (required)
:param str study_db_id: Search by studyDbId
:param str active: Filter active status true/false
:param str sort_by: Name of the field to sort by: studyDbId or seasonDbId
:param str sort_order: Sort order direction - ASC or DESC
:param int page_size: pageSize
:param int page: page
:param str accept_language: Request accepted language
:return: list[StudyDTO]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_studies_search_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.get_studies_search_with_http_info(**kwargs) # noqa: E501
return data
def get_studies_search_with_http_info(self, **kwargs): # noqa: E501
"""Retrieve studies information # noqa: E501
Retrieve studies information # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_studies_search_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:param str authorization: Authentication token (required)
:param str study_db_id: Search by studyDbId
:param str active: Filter active status true/false
:param str sort_by: Name of the field to sort by: studyDbId or seasonDbId
:param str sort_order: Sort order direction - ASC or DESC
:param int page_size: pageSize
:param int page: page
:param str accept_language: Request accepted language
:return: list[StudyDTO]
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['study_db_id', 'active', 'sort_by', 'sort_order', 'page_size', 'page', ] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_studies_search" % key
)
params[key] = val
del params['kwargs']
if 'page_size' in params and params['page_size'] < 0: # noqa: E501
raise ValueError("Invalid value for parameter `page_size` when calling `get_studies_search`, must be a value greater than or equal to `0`") # noqa: E501
if 'page' in params and params['page'] < 0: # noqa: E501
raise ValueError("Invalid value for parameter `page` when calling `get_studies_search`, must be a value greater than or equal to `0`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
if 'study_db_id' in params:
query_params.append(('studyDbId', params['study_db_id'])) # noqa: E501
if 'active' in params:
query_params.append(('active', params['active'])) # noqa: E501
if 'sort_by' in params:
query_params.append(('sortBy', params['sort_by'])) # noqa: E501
if 'sort_order' in params:
query_params.append(('sortOrder', params['sort_order'])) # noqa: E501
if 'page_size' in params:
query_params.append(('pageSize', params['page_size'])) # noqa: E501
if 'page' in params:
query_params.append(('page', params['page'])) # noqa: E501
header_params = {}
#if 'authorization' in params:
# header_params['Authorization'] = params['authorization'] # noqa: E501
#if 'accept_language' in params:
# header_params['Accept-Language'] = params['accept_language'] # noqa: E501
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/brapi/v1/studies-search', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[StudyDTO]', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_study_details(self, study_db_id, **kwargs): # noqa: E501
"""Retrieve study details # noqa: E501
Retrieve study details # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_study_details(study_db_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str study_db_id: Search by studyDbId (required)
:param str authorization: Authentication token (required)
:param str accept_language: Request accepted language
:return: list[StudyDetailsDTO]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_study_details_with_http_info(study_db_id, **kwargs) # noqa: E501
else:
(data) = self.get_study_details_with_http_info(study_db_id, **kwargs) # noqa: E501
return data
def get_study_details_with_http_info(self, study_db_id, **kwargs): # noqa: E501
"""Retrieve study details # noqa: E501
Retrieve study details # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_study_details_with_http_info(study_db_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str study_db_id: Search by studyDbId (required)
:param str authorization: Authentication token (required)
:param str accept_language: Request accepted language
:return: list[StudyDetailsDTO]
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['study_db_id', ] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_study_details" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'study_db_id' is set
if ('study_db_id' not in params or
params['study_db_id'] is None):
raise ValueError("Missing the required parameter `study_db_id` when calling `get_study_details`") # noqa: E501
collection_formats = {}
path_params = {}
if 'study_db_id' in params:
path_params['studyDbId'] = params['study_db_id'] # noqa: E501
query_params = []
header_params = {}
#if 'authorization' in params:
# header_params['Authorization'] = params['authorization'] # noqa: E501
#if 'accept_language' in params:
# header_params['Accept-Language'] = params['accept_language'] # noqa: E501
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/brapi/v1/studies/{studyDbId}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[StudyDetailsDTO]', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_variable_details(self, observation_variable_db_id, **kwargs): # noqa: E501
"""Retrieve variable details by id # noqa: E501
Retrieve variable details by id # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_variable_details(observation_variable_db_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str observation_variable_db_id: A variable URI (Unique Resource Identifier) (required)
:param str authorization: Authentication token (required)
:param str accept_language: Request accepted language
:return: list[ObservationVariableDTO]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_variable_details_with_http_info(observation_variable_db_id, **kwargs) # noqa: E501
else:
(data) = self.get_variable_details_with_http_info(observation_variable_db_id, **kwargs) # noqa: E501
return data
def get_variable_details_with_http_info(self, observation_variable_db_id, **kwargs): # noqa: E501
"""Retrieve variable details by id # noqa: E501
Retrieve variable details by id # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_variable_details_with_http_info(observation_variable_db_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str observation_variable_db_id: A variable URI (Unique Resource Identifier) (required)
:param str authorization: Authentication token (required)
:param str accept_language: Request accepted language
:return: list[ObservationVariableDTO]
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['observation_variable_db_id', ] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_variable_details" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'observation_variable_db_id' is set
if ('observation_variable_db_id' not in params or
params['observation_variable_db_id'] is None):
raise ValueError("Missing the required parameter `observation_variable_db_id` when calling `get_variable_details`") # noqa: E501
collection_formats = {}
path_params = {}
if 'observation_variable_db_id' in params:
path_params['observationVariableDbId'] = params['observation_variable_db_id'] # noqa: E501
query_params = []
header_params = {}
#if 'authorization' in params:
# header_params['Authorization'] = params['authorization'] # noqa: E501
#if 'accept_language' in params:
# header_params['Accept-Language'] = params['accept_language'] # noqa: E501
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/brapi/v1/variables/{observationVariableDbId}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[ObservationVariableDTO]', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_variables_list(self, **kwargs): # noqa: E501
"""Call to retrieve a list of observationVariables available in the system # noqa: E501
retrieve variables information # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_variables_list(async_req=True)
>>> result = thread.get()
:param async_req bool
:param str authorization: Authentication token (required)
:param str observation_variable_db_id: observationVariableDbId
:param int page_size: pageSize
:param int page: page
:param str accept_language: Request accepted language
:return: list[ObservationVariableDTO]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_variables_list_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.get_variables_list_with_http_info(**kwargs) # noqa: E501
return data
def get_variables_list_with_http_info(self, **kwargs): # noqa: E501
"""Call to retrieve a list of observationVariables available in the system # noqa: E501
retrieve variables information # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_variables_list_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:param str authorization: Authentication token (required)
:param str observation_variable_db_id: observationVariableDbId
:param int page_size: pageSize
:param int page: page
:param str accept_language: Request accepted language
:return: list[ObservationVariableDTO]
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['observation_variable_db_id', 'page_size', 'page', ] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_variables_list" % key
)
params[key] = val
del params['kwargs']
if 'page_size' in params and params['page_size'] < 0: # noqa: E501
raise ValueError("Invalid value for parameter `page_size` when calling `get_variables_list`, must be a value greater than or equal to `0`") # noqa: E501
if 'page' in params and params['page'] < 0: # noqa: E501
raise ValueError("Invalid value for parameter `page` when calling `get_variables_list`, must be a value greater than or equal to `0`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
if 'observation_variable_db_id' in params:
query_params.append(('observationVariableDbId', params['observation_variable_db_id'])) # noqa: E501
if 'page_size' in params:
query_params.append(('pageSize', params['page_size'])) # noqa: E501
if 'page' in params:
query_params.append(('page', params['page'])) # noqa: E501
header_params = {}
#if 'authorization' in params:
# header_params['Authorization'] = params['authorization'] # noqa: E501
#if 'accept_language' in params:
# header_params['Accept-Language'] = params['accept_language'] # noqa: E501
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/brapi/v1/variables', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[ObservationVariableDTO]', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
| 43.89219
| 172
| 0.625471
| 6,073
| 51,705
| 5.086448
| 0.037379
| 0.055422
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| 0.959081
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| 0.946941
| 0.938394
| 0.930722
| 0.929621
| 0
| 0.018636
| 0.283899
| 51,705
| 1,177
| 173
| 43.929482
| 0.815643
| 0.370699
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| 1
| 0.026622
| 0.244402
| 0.061269
| 0
| 0
| 0
| 0
| 0
| 1
| 0.034942
| false
| 0
| 0.006656
| 0
| 0.093178
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
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|
0
| 8
|
d9200376bc7a9bbd4b3ddad73b4c7013d8b6fc83
| 15,049
|
py
|
Python
|
tests/metrics/test_robustness_metrics.py
|
sebastian-lapuschkin/Quantus
|
c3b8a9fb2018f34bd89ba38efa2b2b8c38128b3f
|
[
"MIT"
] | null | null | null |
tests/metrics/test_robustness_metrics.py
|
sebastian-lapuschkin/Quantus
|
c3b8a9fb2018f34bd89ba38efa2b2b8c38128b3f
|
[
"MIT"
] | null | null | null |
tests/metrics/test_robustness_metrics.py
|
sebastian-lapuschkin/Quantus
|
c3b8a9fb2018f34bd89ba38efa2b2b8c38128b3f
|
[
"MIT"
] | null | null | null |
from typing import Union
import numpy as np
import pytest
from pytest_lazyfixture import lazy_fixture
from ..fixtures import *
from ...quantus.metrics import *
from ...quantus.helpers import *
from ...quantus.helpers.explanation_func import explain
@pytest.mark.robustness
@pytest.mark.parametrize(
"model,data,params,expected",
[
(
lazy_fixture("load_1d_3ch_conv_model"),
lazy_fixture("almost_uniform_1d_no_abatch"),
{
"perturb_std": 0.1,
"explain_func": explain,
"method": "Saliency",
"disable_warnings": False,
"display_progressbar": False,
"a_batch_generate": False,
},
{"min": 0.0, "max": 1.0},
),
(
lazy_fixture("load_mnist_model"),
lazy_fixture("load_mnist_images"),
{
"perturb_std": 0.1,
"nr_samples": 10,
"explain_func": explain,
"method": "Saliency",
"disable_warnings": False,
"display_progressbar": False,
"a_batch_generate": False,
},
{"min": 0.0, "max": 1.0},
),
(
lazy_fixture("load_1d_3ch_conv_model"),
lazy_fixture("almost_uniform_1d_no_abatch"),
{
"perturb_std": 0.1,
"explain_func": explain,
"method": "Saliency",
"disable_warnings": True,
"display_progressbar": False,
"a_batch_generate": False,
},
{"min": 0.0, "max": 1.0},
),
(
lazy_fixture("load_mnist_model"),
lazy_fixture("load_mnist_images"),
{
"perturb_std": 0.1,
"nr_samples": 10,
"explain_func": explain,
"method": "Saliency",
"disable_warnings": True,
"display_progressbar": False,
"a_batch_generate": False,
},
{"min": 0.0, "max": 1.0},
),
(
lazy_fixture("load_1d_3ch_conv_model"),
lazy_fixture("almost_uniform_1d_no_abatch"),
{
"perturb_std": 0.1,
"explain_func": explain,
"method": "Saliency",
"disable_warnings": True,
"display_progressbar": True,
"a_batch_generate": False,
},
{"min": 0.0, "max": 1.0},
),
(
lazy_fixture("load_mnist_model"),
lazy_fixture("load_mnist_images"),
{
"perturb_std": 0.1,
"nr_samples": 10,
"explain_func": explain,
"method": "Saliency",
"disable_warnings": True,
"display_progressbar": True,
"a_batch_generate": False,
},
{"min": 0.0, "max": 1.0},
),
],
)
def test_local_lipschitz_estimate(
model: ModelInterface,
data: np.ndarray,
params: dict,
expected: Union[float, dict, bool],
):
x_batch, y_batch = (
data["x_batch"],
data["y_batch"],
)
if params.get("a_batch_generate", True):
explain = params["explain_func"]
a_batch = explain(
model=model,
inputs=x_batch,
targets=y_batch,
**params,
)
elif "a_batch" in data:
a_batch = data["a_batch"]
else:
a_batch = None
scores = LocalLipschitzEstimate(**params)(
model=model,
x_batch=x_batch,
y_batch=y_batch,
a_batch=a_batch,
**params,
)
assert scores is not None, "Test failed."
@pytest.mark.robustness
@pytest.mark.parametrize(
"model,data,params,expected",
[
(
lazy_fixture("load_1d_3ch_conv_model"),
lazy_fixture("almost_uniform_1d_no_abatch"),
{
"perturb_radius": 0.2,
"explain_func": explain,
"method": "Saliency",
"disable_warnings": False,
"display_progressbar": False,
},
{"min": 0.0, "max": 1.0},
),
(
lazy_fixture("load_mnist_model"),
lazy_fixture("load_mnist_images"),
{
"perturb_radius": 0.2,
"nr_samples": 10,
"explain_func": explain,
"method": "Saliency",
"disable_warnings": False,
"display_progressbar": False,
},
{"min": 0.0, "max": 1.0},
),
(
lazy_fixture("load_1d_3ch_conv_model"),
lazy_fixture("almost_uniform_1d_no_abatch"),
{
"perturb_radius": 0.2,
"explain_func": explain,
"method": "Saliency",
"disable_warnings": True,
"display_progressbar": False,
},
{"min": 0.0, "max": 1.0},
),
(
lazy_fixture("load_mnist_model"),
lazy_fixture("load_mnist_images"),
{
"perturb_radius": 0.2,
"nr_samples": 10,
"explain_func": explain,
"method": "Saliency",
"disable_warnings": True,
"display_progressbar": False,
},
{"min": 0.0, "max": 1.0},
),
(
lazy_fixture("load_1d_3ch_conv_model"),
lazy_fixture("almost_uniform_1d_no_abatch"),
{
"perturb_radius": 0.2,
"explain_func": explain,
"method": "Saliency",
"disable_warnings": True,
"display_progressbar": True,
},
{"min": 0.0, "max": 1.0},
),
(
lazy_fixture("load_mnist_model"),
lazy_fixture("load_mnist_images"),
{
"perturb_radius": 0.2,
"nr_samples": 10,
"explain_func": explain,
"method": "Saliency",
"disable_warnings": True,
"display_progressbar": True,
},
{"min": 0.0, "max": 1.0},
),
],
)
def test_max_sensitivity(
model: ModelInterface,
data: np.ndarray,
params: dict,
expected: Union[float, dict, bool],
):
x_batch, y_batch = (
data["x_batch"],
data["y_batch"],
)
if params.get("a_batch_generate", True):
explain = params["explain_func"]
a_batch = explain(
model=model,
inputs=x_batch,
targets=y_batch,
**params,
)
elif "a_batch" in data:
a_batch = data["a_batch"]
else:
a_batch = None
scores = MaxSensitivity(**params)(
model=model,
x_batch=x_batch,
y_batch=y_batch,
a_batch=a_batch,
**params,
)
if isinstance(expected, float):
assert all(s == expected for s in scores), "Test failed."
else:
assert np.all(
((s >= expected["min"]) & (s <= expected["max"])) for s in scores
), "Test failed."
@pytest.mark.robustness
@pytest.mark.parametrize(
"model,data,params,expected",
[
(
lazy_fixture("load_1d_3ch_conv_model"),
lazy_fixture("almost_uniform_1d_no_abatch"),
{
"perturb_radius": 0.2,
"explain_func": explain,
"method": "Saliency",
"disable_warnings": False,
"display_progressbar": False,
"a_batch_generate": False,
},
{"min": 0.0, "max": 1.0},
),
(
lazy_fixture("load_mnist_model"),
lazy_fixture("load_mnist_images"),
{
"perturb_radius": 0.2,
"nr_samples": 10,
"explain_func": explain,
"method": "Saliency",
"disable_warnings": False,
"display_progressbar": False,
"a_batch_generate": False,
},
{"min": 0.0, "max": 1.0},
),
(
lazy_fixture("load_1d_3ch_conv_model"),
lazy_fixture("almost_uniform_1d_no_abatch"),
{
"perturb_radius": 0.2,
"explain_func": explain,
"method": "Saliency",
"disable_warnings": True,
"display_progressbar": False,
"a_batch_generate": False,
},
{"min": 0.0, "max": 1.0},
),
(
lazy_fixture("load_mnist_model"),
lazy_fixture("load_mnist_images"),
{
"perturb_radius": 0.2,
"nr_samples": 10,
"explain_func": explain,
"method": "Saliency",
"disable_warnings": True,
"display_progressbar": False,
"a_batch_generate": False,
},
{"min": 0.0, "max": 1.0},
),
(
lazy_fixture("load_1d_3ch_conv_model"),
lazy_fixture("almost_uniform_1d_no_abatch"),
{
"perturb_radius": 0.2,
"explain_func": explain,
"method": "Saliency",
"disable_warnings": True,
"display_progressbar": True,
"a_batch_generate": False,
},
{"min": 0.0, "max": 1.0},
),
(
lazy_fixture("load_mnist_model"),
lazy_fixture("load_mnist_images"),
{
"perturb_radius": 0.2,
"nr_samples": 10,
"explain_func": explain,
"method": "Saliency",
"disable_warnings": True,
"display_progressbar": True,
"a_batch_generate": False,
},
{"min": 0.0, "max": 1.0},
),
],
)
def test_avg_sensitivity(
model: ModelInterface,
data: np.ndarray,
params: dict,
expected: Union[float, dict, bool],
):
x_batch, y_batch = (
data["x_batch"],
data["y_batch"],
)
if params.get("a_batch_generate", True):
explain = params["explain_func"]
a_batch = explain(
model=model,
inputs=x_batch,
targets=y_batch,
**params,
)
elif "a_batch" in data:
a_batch = data["a_batch"]
else:
a_batch = None
scores = AvgSensitivity(**params)(
model=model,
x_batch=x_batch,
y_batch=y_batch,
a_batch=a_batch,
**params,
)
if isinstance(expected, float):
assert all(s == expected for s in scores), "Test failed."
else:
assert np.all(
((s >= expected["min"]) & (s <= expected["max"])) for s in scores
), "Test failed."
@pytest.mark.robustness
@pytest.mark.parametrize(
"model,data,params,expected",
[
(
lazy_fixture("load_1d_3ch_conv_model"),
lazy_fixture("almost_uniform_1d_no_abatch"),
{
"nr_steps": 10,
"patch_size": 10,
"explain_func": explain,
"method": "Saliency",
"disable_warnings": False,
"display_progressbar": False,
"a_batch_generate": False,
},
{"exception": ValueError},
),
(
lazy_fixture("load_mnist_model"),
lazy_fixture("load_mnist_images"),
{
"nr_steps": 10,
"patch_size": 7,
"explain_func": explain,
"method": "Saliency",
"disable_warnings": False,
"display_progressbar": False,
"a_batch_generate": False,
},
{"min": 0.0, "max": 1.0},
),
(
lazy_fixture("load_1d_3ch_conv_model"),
lazy_fixture("almost_uniform_1d_no_abatch"),
{
"nr_steps": 10,
"patch_size": 10,
"explain_func": explain,
"method": "Saliency",
"disable_warnings": True,
"display_progressbar": False,
"a_batch_generate": False,
},
{"exception": ValueError},
),
(
lazy_fixture("load_mnist_model"),
lazy_fixture("load_mnist_images"),
{
"nr_steps": 10,
"patch_size": 7,
"explain_func": explain,
"method": "Saliency",
"disable_warnings": True,
"display_progressbar": False,
"a_batch_generate": False,
},
{"min": 0.0, "max": 1.0},
),
(
lazy_fixture("load_1d_3ch_conv_model"),
lazy_fixture("almost_uniform_1d_no_abatch"),
{
"nr_steps": 10,
"patch_size": 10,
"explain_func": explain,
"method": "Saliency",
"disable_warnings": True,
"display_progressbar": True,
"a_batch_generate": False,
},
{"exception": ValueError},
),
(
lazy_fixture("load_mnist_model"),
lazy_fixture("load_mnist_images"),
{
"nr_steps": 10,
"patch_size": 7,
"explain_func": explain,
"method": "Saliency",
"disable_warnings": True,
"display_progressbar": True,
"a_batch_generate": False,
},
{"min": 0.0, "max": 1.0},
),
],
)
def test_continuity(
model: ModelInterface,
data: np.ndarray,
params: dict,
expected: Union[float, dict, bool],
):
x_batch, y_batch = (
data["x_batch"],
data["y_batch"],
)
if params.get("a_batch_generate", True):
explain = params["explain_func"]
a_batch = explain(
model=model,
inputs=x_batch,
targets=y_batch,
**params,
)
elif "a_batch" in data:
a_batch = data["a_batch"]
else:
a_batch = None
if "exception" in expected:
with pytest.raises(expected["exception"]):
scores = Continuity(**params)(
model=model,
x_batch=x_batch,
y_batch=y_batch,
a_batch=a_batch,
**params,
)
return
scores = Continuity(**params)(
model=model,
x_batch=x_batch,
y_batch=y_batch,
a_batch=a_batch,
**params,
)
assert scores is not None, "Test failed."
| 29.682446
| 77
| 0.463486
| 1,391
| 15,049
| 4.700935
| 0.07261
| 0.047714
| 0.082581
| 0.088087
| 0.947087
| 0.947087
| 0.947087
| 0.947087
| 0.946016
| 0.946016
| 0
| 0.022069
| 0.412851
| 15,049
| 506
| 78
| 29.741107
| 0.717972
| 0
| 0
| 0.774848
| 0
| 0
| 0.249252
| 0.045983
| 0
| 0
| 0
| 0
| 0.01217
| 1
| 0.008114
| false
| 0
| 0.016227
| 0
| 0.026369
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
d92478c5f3979ef8de84204ffc08ae0b91ee5881
| 1,061
|
py
|
Python
|
examples/introductions/second/show_version.py
|
zqmillet/kinopico_python_book
|
0db4b0a904a1ba1b7e90cf971871e134941aeb65
|
[
"MIT"
] | null | null | null |
examples/introductions/second/show_version.py
|
zqmillet/kinopico_python_book
|
0db4b0a904a1ba1b7e90cf971871e134941aeb65
|
[
"MIT"
] | null | null | null |
examples/introductions/second/show_version.py
|
zqmillet/kinopico_python_book
|
0db4b0a904a1ba1b7e90cf971871e134941aeb65
|
[
"MIT"
] | null | null | null |
import sys
import platform
print('Python', sys.version)
print('OS is', platform.platform())
import subprocess
process = subprocess.Popen(['dot', '-V'], stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
output, _ = process.communicate()
print(output.decode('utf8'))
process = subprocess.Popen(['gs', '-v'], stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
output, _ = process.communicate()
print(output.decode('utf8'))
process = subprocess.Popen(['latex', '-v'], stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
output, _ = process.communicate()
print(output.decode('utf8'))
process = subprocess.Popen(['xelatex', '-v'], stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
output, _ = process.communicate()
print(output.decode('utf8'))
process = subprocess.Popen(['pdflatex', '-v'], stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
output, _ = process.communicate()
print(output.decode('utf8'))
process = subprocess.Popen(['pdf2svg', '-v'], stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
output, _ = process.communicate()
print(output.decode('utf8'))
| 34.225806
| 96
| 0.737983
| 123
| 1,061
| 6.317073
| 0.203252
| 0.131274
| 0.169884
| 0.162162
| 0.821107
| 0.821107
| 0.821107
| 0.821107
| 0.821107
| 0.821107
| 0
| 0.007165
| 0.079171
| 1,061
| 30
| 97
| 35.366667
| 0.788127
| 0
| 0
| 0.521739
| 0
| 0
| 0.074458
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.130435
| 0
| 0.130435
| 0.347826
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
d95737a691d25f65c617e6edccd18d32fa1eac00
| 57
|
py
|
Python
|
effective_python_learn/python_01_version.py
|
Hao973/python_learn
|
a61130b88228d71a5d566bee8f6e62f376f58996
|
[
"MIT"
] | null | null | null |
effective_python_learn/python_01_version.py
|
Hao973/python_learn
|
a61130b88228d71a5d566bee8f6e62f376f58996
|
[
"MIT"
] | null | null | null |
effective_python_learn/python_01_version.py
|
Hao973/python_learn
|
a61130b88228d71a5d566bee8f6e62f376f58996
|
[
"MIT"
] | null | null | null |
import sys
print sys.version_info
print sys.version
| 11.4
| 23
| 0.77193
| 9
| 57
| 4.777778
| 0.555556
| 0.372093
| 0.697674
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.192982
| 57
| 4
| 24
| 14.25
| 0.934783
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.333333
| null | null | 0.666667
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 1
|
0
| 7
|
d96c747c2e5867496fdf95709790e4cb0b313a0a
| 9,455
|
py
|
Python
|
conanguide/ui/dialog/edit/remote/edit_remote_ui.py
|
afri-bit/conan-guide
|
4eac41710ee83da64cea1e5ce2aafc09844c4fa1
|
[
"MIT"
] | 8
|
2021-05-31T10:45:14.000Z
|
2022-03-29T12:55:58.000Z
|
conanguide/ui/dialog/edit/remote/edit_remote_ui.py
|
afri-bit/conan-blade
|
4eac41710ee83da64cea1e5ce2aafc09844c4fa1
|
[
"MIT"
] | 4
|
2021-05-31T10:46:37.000Z
|
2021-07-24T08:15:01.000Z
|
conanguide/ui/dialog/edit/remote/edit_remote_ui.py
|
afri-bit/conan-blade
|
4eac41710ee83da64cea1e5ce2aafc09844c4fa1
|
[
"MIT"
] | 2
|
2021-05-31T17:42:28.000Z
|
2021-07-23T17:40:28.000Z
|
# -*- coding: utf-8 -*-
################################################################################
## Form generated from reading UI file 'edit_remote.ui'
##
## Created by: Qt User Interface Compiler version 5.15.2
##
## WARNING! All changes made in this file will be lost when recompiling UI file!
################################################################################
from PySide2.QtCore import *
from PySide2.QtGui import *
from PySide2.QtWidgets import *
from conanguide.ui.res import resources_rc
class Ui_DialogEditRemote(object):
def setupUi(self, DialogEditRemote):
if not DialogEditRemote.objectName():
DialogEditRemote.setObjectName(u"DialogEditRemote")
DialogEditRemote.resize(550, 129)
DialogEditRemote.setMinimumSize(QSize(550, 129))
DialogEditRemote.setMaximumSize(QSize(550, 129))
icon = QIcon()
icon.addFile(u":/general/icon/conan_guide_icon.png", QSize(), QIcon.Normal, QIcon.Off)
DialogEditRemote.setWindowIcon(icon)
self.verticalLayout = QVBoxLayout(DialogEditRemote)
self.verticalLayout.setSpacing(2)
self.verticalLayout.setObjectName(u"verticalLayout")
self.verticalLayout.setContentsMargins(5, 5, 5, 5)
self.horizontalLayout = QHBoxLayout()
self.horizontalLayout.setObjectName(u"horizontalLayout")
self.label = QLabel(DialogEditRemote)
self.label.setObjectName(u"label")
self.label.setMinimumSize(QSize(40, 0))
self.horizontalLayout.addWidget(self.label)
self.lineEditName = QLineEdit(DialogEditRemote)
self.lineEditName.setObjectName(u"lineEditName")
self.horizontalLayout.addWidget(self.lineEditName)
self.verticalLayout.addLayout(self.horizontalLayout)
self.horizontalLayout_2 = QHBoxLayout()
self.horizontalLayout_2.setObjectName(u"horizontalLayout_2")
self.label_2 = QLabel(DialogEditRemote)
self.label_2.setObjectName(u"label_2")
self.label_2.setMinimumSize(QSize(40, 0))
self.horizontalLayout_2.addWidget(self.label_2)
self.lineEditURL = QLineEdit(DialogEditRemote)
self.lineEditURL.setObjectName(u"lineEditURL")
self.horizontalLayout_2.addWidget(self.lineEditURL)
self.verticalLayout.addLayout(self.horizontalLayout_2)
self.horizontalLayout_4 = QHBoxLayout()
self.horizontalLayout_4.setObjectName(u"horizontalLayout_4")
self.checkBoxVerifySSL = QCheckBox(DialogEditRemote)
self.checkBoxVerifySSL.setObjectName(u"checkBoxVerifySSL")
self.checkBoxVerifySSL.setLayoutDirection(Qt.LeftToRight)
self.horizontalLayout_4.addWidget(self.checkBoxVerifySSL)
self.horizontalSpacer = QSpacerItem(40, 20, QSizePolicy.Expanding, QSizePolicy.Minimum)
self.horizontalLayout_4.addItem(self.horizontalSpacer)
self.verticalLayout.addLayout(self.horizontalLayout_4)
self.horizontalLayout_3 = QHBoxLayout()
self.horizontalLayout_3.setObjectName(u"horizontalLayout_3")
self.labelInfo = QLabel(DialogEditRemote)
self.labelInfo.setObjectName(u"labelInfo")
self.labelInfo.setMinimumSize(QSize(0, 22))
self.labelInfo.setMaximumSize(QSize(16777215, 22))
self.horizontalLayout_3.addWidget(self.labelInfo)
self.btnOK = QPushButton(DialogEditRemote)
self.btnOK.setObjectName(u"btnOK")
self.btnOK.setMinimumSize(QSize(0, 25))
self.btnOK.setMaximumSize(QSize(75, 16777215))
self.horizontalLayout_3.addWidget(self.btnOK)
self.btnCancel = QPushButton(DialogEditRemote)
self.btnCancel.setObjectName(u"btnCancel")
self.btnCancel.setMinimumSize(QSize(0, 25))
self.btnCancel.setMaximumSize(QSize(75, 16777215))
self.horizontalLayout_3.addWidget(self.btnCancel)
self.verticalLayout.addLayout(self.horizontalLayout_3)
self.retranslateUi(DialogEditRemote)
QMetaObject.connectSlotsByName(DialogEditRemote)
# setupUi
def retranslateUi(self, DialogEditRemote):
DialogEditRemote.setWindowTitle(QCoreApplication.translate("DialogEditRemote", u"Dialog", None))
self.label.setText(QCoreApplication.translate("DialogEditRemote", u"Name", None))
self.label_2.setText(QCoreApplication.translate("DialogEditRemote", u"URL", None))
self.checkBoxVerifySSL.setText(QCoreApplication.translate("DialogEditRemote", u"Verify SSL", None))
self.labelInfo.setText("")
self.btnOK.setText(QCoreApplication.translate("DialogEditRemote", u"OK", None))
self.btnCancel.setText(QCoreApplication.translate("DialogEditRemote", u"Cancel", None))
# re# -*- coding: utf-8 -*-
################################################################################
## Form generated from reading UI file 'edit_remote.ui'
##
## Created by: Qt User Interface Compiler version 5.15.2
##
## WARNING! All changes made in this file will be lost when recompiling UI file!
################################################################################
from PySide2.QtCore import *
from PySide2.QtGui import *
from PySide2.QtWidgets import *
from conanguide.ui.res import resources_rc
class Ui_DialogEditRemote(object):
def setupUi(self, DialogEditRemote):
if not DialogEditRemote.objectName():
DialogEditRemote.setObjectName(u"DialogEditRemote")
DialogEditRemote.resize(550, 129)
DialogEditRemote.setMinimumSize(QSize(550, 129))
DialogEditRemote.setMaximumSize(QSize(550, 129))
icon = QIcon()
icon.addFile(u":/general/icon/conan_guide_icon.png", QSize(), QIcon.Normal, QIcon.Off)
DialogEditRemote.setWindowIcon(icon)
self.verticalLayout = QVBoxLayout(DialogEditRemote)
self.verticalLayout.setSpacing(2)
self.verticalLayout.setObjectName(u"verticalLayout")
self.verticalLayout.setContentsMargins(5, 5, 5, 5)
self.horizontalLayout = QHBoxLayout()
self.horizontalLayout.setObjectName(u"horizontalLayout")
self.label = QLabel(DialogEditRemote)
self.label.setObjectName(u"label")
self.label.setMinimumSize(QSize(40, 0))
self.horizontalLayout.addWidget(self.label)
self.lineEditName = QLineEdit(DialogEditRemote)
self.lineEditName.setObjectName(u"lineEditName")
self.horizontalLayout.addWidget(self.lineEditName)
self.verticalLayout.addLayout(self.horizontalLayout)
self.horizontalLayout_2 = QHBoxLayout()
self.horizontalLayout_2.setObjectName(u"horizontalLayout_2")
self.label_2 = QLabel(DialogEditRemote)
self.label_2.setObjectName(u"label_2")
self.label_2.setMinimumSize(QSize(40, 0))
self.horizontalLayout_2.addWidget(self.label_2)
self.lineEditURL = QLineEdit(DialogEditRemote)
self.lineEditURL.setObjectName(u"lineEditURL")
self.horizontalLayout_2.addWidget(self.lineEditURL)
self.verticalLayout.addLayout(self.horizontalLayout_2)
self.horizontalLayout_4 = QHBoxLayout()
self.horizontalLayout_4.setObjectName(u"horizontalLayout_4")
self.checkBoxVerifySSL = QCheckBox(DialogEditRemote)
self.checkBoxVerifySSL.setObjectName(u"checkBoxVerifySSL")
self.checkBoxVerifySSL.setLayoutDirection(Qt.LeftToRight)
self.horizontalLayout_4.addWidget(self.checkBoxVerifySSL)
self.horizontalSpacer = QSpacerItem(40, 20, QSizePolicy.Expanding, QSizePolicy.Minimum)
self.horizontalLayout_4.addItem(self.horizontalSpacer)
self.verticalLayout.addLayout(self.horizontalLayout_4)
self.horizontalLayout_3 = QHBoxLayout()
self.horizontalLayout_3.setObjectName(u"horizontalLayout_3")
self.labelInfo = QLabel(DialogEditRemote)
self.labelInfo.setObjectName(u"labelInfo")
self.labelInfo.setMinimumSize(QSize(0, 22))
self.labelInfo.setMaximumSize(QSize(16777215, 22))
self.horizontalLayout_3.addWidget(self.labelInfo)
self.btnOK = QPushButton(DialogEditRemote)
self.btnOK.setObjectName(u"btnOK")
self.btnOK.setMinimumSize(QSize(0, 25))
self.btnOK.setMaximumSize(QSize(75, 16777215))
self.horizontalLayout_3.addWidget(self.btnOK)
self.btnCancel = QPushButton(DialogEditRemote)
self.btnCancel.setObjectName(u"btnCancel")
self.btnCancel.setMinimumSize(QSize(0, 25))
self.btnCancel.setMaximumSize(QSize(75, 16777215))
self.horizontalLayout_3.addWidget(self.btnCancel)
self.verticalLayout.addLayout(self.horizontalLayout_3)
self.retranslateUi(DialogEditRemote)
QMetaObject.connectSlotsByName(DialogEditRemote)
# setupUi
def retranslateUi(self, DialogEditRemote):
DialogEditRemote.setWindowTitle(QCoreApplication.translate("DialogEditRemote", u"Dialog", None))
self.label.setText(QCoreApplication.translate("DialogEditRemote", u"Name", None))
self.label_2.setText(QCoreApplication.translate("DialogEditRemote", u"URL", None))
self.checkBoxVerifySSL.setText(QCoreApplication.translate("DialogEditRemote", u"Verify SSL", None))
self.labelInfo.setText("")
self.btnOK.setText(QCoreApplication.translate("DialogEditRemote", u"OK", None))
self.btnCancel.setText(QCoreApplication.translate("DialogEditRemote", u"Cancel", None))
# retranslateUi
| 39.894515
| 107
| 0.69963
| 898
| 9,455
| 7.299555
| 0.13363
| 0.128146
| 0.038444
| 0.076888
| 0.997712
| 0.997712
| 0.997712
| 0.997712
| 0.997712
| 0.997712
| 0
| 0.026728
| 0.169011
| 9,455
| 236
| 108
| 40.063559
| 0.80756
| 0.047171
| 0
| 1
| 1
| 0
| 0.07782
| 0.008082
| 0
| 0
| 0
| 0
| 0
| 1
| 0.026667
| false
| 0
| 0.053333
| 0
| 0.093333
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
7980a444a794a06423e62d01e050a24686840db9
| 46,655
|
py
|
Python
|
nova/tests/unit/pci/test_stats.py
|
bopopescu/nova-token
|
ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2
|
[
"Apache-2.0"
] | null | null | null |
nova/tests/unit/pci/test_stats.py
|
bopopescu/nova-token
|
ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2
|
[
"Apache-2.0"
] | null | null | null |
nova/tests/unit/pci/test_stats.py
|
bopopescu/nova-token
|
ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2
|
[
"Apache-2.0"
] | 2
|
2017-07-20T17:31:34.000Z
|
2020-07-24T02:42:19.000Z
|
begin_unit
comment|'# Copyright (c) 2012 OpenStack Foundation'
nl|'\n'
comment|'# All Rights Reserved.'
nl|'\n'
comment|'#'
nl|'\n'
comment|'# Licensed under the Apache License, Version 2.0 (the "License"); you may'
nl|'\n'
comment|'# not use this file except in compliance with the License. You may obtain'
nl|'\n'
comment|'# a copy of the License at'
nl|'\n'
comment|'#'
nl|'\n'
comment|'# http://www.apache.org/licenses/LICENSE-2.0'
nl|'\n'
comment|'#'
nl|'\n'
comment|'# Unless required by applicable law or agreed to in writing, software'
nl|'\n'
comment|'# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT'
nl|'\n'
comment|'# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the'
nl|'\n'
comment|'# License for the specific language governing permissions and limitations'
nl|'\n'
comment|'# under the License.'
nl|'\n'
nl|'\n'
name|'import'
name|'mock'
newline|'\n'
name|'import'
name|'six'
newline|'\n'
nl|'\n'
name|'from'
name|'oslo_config'
name|'import'
name|'cfg'
newline|'\n'
nl|'\n'
name|'from'
name|'nova'
name|'import'
name|'exception'
newline|'\n'
name|'from'
name|'nova'
name|'import'
name|'objects'
newline|'\n'
name|'from'
name|'nova'
op|'.'
name|'objects'
name|'import'
name|'fields'
newline|'\n'
name|'from'
name|'nova'
op|'.'
name|'pci'
name|'import'
name|'stats'
newline|'\n'
name|'from'
name|'nova'
op|'.'
name|'pci'
name|'import'
name|'whitelist'
newline|'\n'
name|'from'
name|'nova'
name|'import'
name|'test'
newline|'\n'
name|'from'
name|'nova'
op|'.'
name|'tests'
op|'.'
name|'unit'
op|'.'
name|'pci'
name|'import'
name|'fakes'
newline|'\n'
nl|'\n'
DECL|variable|CONF
name|'CONF'
op|'='
name|'cfg'
op|'.'
name|'CONF'
newline|'\n'
DECL|variable|fake_pci_1
name|'fake_pci_1'
op|'='
op|'{'
nl|'\n'
string|"'compute_node_id'"
op|':'
number|'1'
op|','
nl|'\n'
string|"'address'"
op|':'
string|"'0000:00:00.1'"
op|','
nl|'\n'
string|"'product_id'"
op|':'
string|"'p1'"
op|','
nl|'\n'
string|"'vendor_id'"
op|':'
string|"'v1'"
op|','
nl|'\n'
string|"'status'"
op|':'
string|"'available'"
op|','
nl|'\n'
string|"'extra_k1'"
op|':'
string|"'v1'"
op|','
nl|'\n'
string|"'request_id'"
op|':'
name|'None'
op|','
nl|'\n'
string|"'numa_node'"
op|':'
number|'0'
op|','
nl|'\n'
string|"'dev_type'"
op|':'
name|'fields'
op|'.'
name|'PciDeviceType'
op|'.'
name|'STANDARD'
op|','
nl|'\n'
string|"'parent_addr'"
op|':'
name|'None'
op|','
nl|'\n'
op|'}'
newline|'\n'
nl|'\n'
nl|'\n'
DECL|variable|fake_pci_2
name|'fake_pci_2'
op|'='
name|'dict'
op|'('
name|'fake_pci_1'
op|','
name|'vendor_id'
op|'='
string|"'v2'"
op|','
nl|'\n'
DECL|variable|product_id
name|'product_id'
op|'='
string|"'p2'"
op|','
nl|'\n'
DECL|variable|address
name|'address'
op|'='
string|"'0000:00:00.2'"
op|','
nl|'\n'
DECL|variable|numa_node
name|'numa_node'
op|'='
number|'1'
op|')'
newline|'\n'
nl|'\n'
nl|'\n'
DECL|variable|fake_pci_3
name|'fake_pci_3'
op|'='
name|'dict'
op|'('
name|'fake_pci_1'
op|','
name|'address'
op|'='
string|"'0000:00:00.3'"
op|')'
newline|'\n'
nl|'\n'
DECL|variable|fake_pci_4
name|'fake_pci_4'
op|'='
name|'dict'
op|'('
name|'fake_pci_1'
op|','
name|'vendor_id'
op|'='
string|"'v3'"
op|','
nl|'\n'
DECL|variable|product_id
name|'product_id'
op|'='
string|"'p3'"
op|','
nl|'\n'
DECL|variable|address
name|'address'
op|'='
string|"'0000:00:00.3'"
op|','
nl|'\n'
DECL|variable|numa_node
name|'numa_node'
op|'='
name|'None'
op|')'
newline|'\n'
nl|'\n'
DECL|variable|pci_requests
name|'pci_requests'
op|'='
op|'['
name|'objects'
op|'.'
name|'InstancePCIRequest'
op|'('
name|'count'
op|'='
number|'1'
op|','
nl|'\n'
DECL|variable|spec
name|'spec'
op|'='
op|'['
op|'{'
string|"'vendor_id'"
op|':'
string|"'v1'"
op|'}'
op|']'
op|')'
op|','
nl|'\n'
name|'objects'
op|'.'
name|'InstancePCIRequest'
op|'('
name|'count'
op|'='
number|'1'
op|','
nl|'\n'
DECL|variable|spec
name|'spec'
op|'='
op|'['
op|'{'
string|"'vendor_id'"
op|':'
string|"'v2'"
op|'}'
op|']'
op|')'
op|']'
newline|'\n'
nl|'\n'
nl|'\n'
DECL|variable|pci_requests_multiple
name|'pci_requests_multiple'
op|'='
op|'['
name|'objects'
op|'.'
name|'InstancePCIRequest'
op|'('
name|'count'
op|'='
number|'1'
op|','
nl|'\n'
DECL|variable|spec
name|'spec'
op|'='
op|'['
op|'{'
string|"'vendor_id'"
op|':'
string|"'v1'"
op|'}'
op|']'
op|')'
op|','
nl|'\n'
name|'objects'
op|'.'
name|'InstancePCIRequest'
op|'('
name|'count'
op|'='
number|'3'
op|','
nl|'\n'
DECL|variable|spec
name|'spec'
op|'='
op|'['
op|'{'
string|"'vendor_id'"
op|':'
string|"'v2'"
op|'}'
op|']'
op|')'
op|']'
newline|'\n'
nl|'\n'
nl|'\n'
DECL|class|PciDeviceStatsTestCase
name|'class'
name|'PciDeviceStatsTestCase'
op|'('
name|'test'
op|'.'
name|'NoDBTestCase'
op|')'
op|':'
newline|'\n'
DECL|member|_create_fake_devs
indent|' '
name|'def'
name|'_create_fake_devs'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'fake_dev_1'
op|'='
name|'objects'
op|'.'
name|'PciDevice'
op|'.'
name|'create'
op|'('
name|'None'
op|','
name|'fake_pci_1'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'fake_dev_2'
op|'='
name|'objects'
op|'.'
name|'PciDevice'
op|'.'
name|'create'
op|'('
name|'None'
op|','
name|'fake_pci_2'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'fake_dev_3'
op|'='
name|'objects'
op|'.'
name|'PciDevice'
op|'.'
name|'create'
op|'('
name|'None'
op|','
name|'fake_pci_3'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'fake_dev_4'
op|'='
name|'objects'
op|'.'
name|'PciDevice'
op|'.'
name|'create'
op|'('
name|'None'
op|','
name|'fake_pci_4'
op|')'
newline|'\n'
nl|'\n'
name|'map'
op|'('
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'add_device'
op|','
nl|'\n'
op|'['
name|'self'
op|'.'
name|'fake_dev_1'
op|','
name|'self'
op|'.'
name|'fake_dev_2'
op|','
nl|'\n'
name|'self'
op|'.'
name|'fake_dev_3'
op|','
name|'self'
op|'.'
name|'fake_dev_4'
op|']'
op|')'
newline|'\n'
nl|'\n'
DECL|member|setUp
dedent|''
name|'def'
name|'setUp'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'super'
op|'('
name|'PciDeviceStatsTestCase'
op|','
name|'self'
op|')'
op|'.'
name|'setUp'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'pci_stats'
op|'='
name|'stats'
op|'.'
name|'PciDeviceStats'
op|'('
op|')'
newline|'\n'
comment|'# The following two calls need to be made before adding the devices.'
nl|'\n'
name|'patcher'
op|'='
name|'fakes'
op|'.'
name|'fake_pci_whitelist'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'addCleanup'
op|'('
name|'patcher'
op|'.'
name|'stop'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'_create_fake_devs'
op|'('
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_add_device
dedent|''
name|'def'
name|'test_add_device'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'len'
op|'('
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'pools'
op|')'
op|','
number|'3'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'set'
op|'('
op|'['
name|'d'
op|'['
string|"'vendor_id'"
op|']'
name|'for'
name|'d'
name|'in'
name|'self'
op|'.'
name|'pci_stats'
op|']'
op|')'
op|','
nl|'\n'
name|'set'
op|'('
op|'['
string|"'v1'"
op|','
string|"'v2'"
op|','
string|"'v3'"
op|']'
op|')'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'set'
op|'('
op|'['
name|'d'
op|'['
string|"'count'"
op|']'
name|'for'
name|'d'
name|'in'
name|'self'
op|'.'
name|'pci_stats'
op|']'
op|')'
op|','
nl|'\n'
name|'set'
op|'('
op|'['
number|'1'
op|','
number|'2'
op|']'
op|')'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_remove_device
dedent|''
name|'def'
name|'test_remove_device'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'remove_device'
op|'('
name|'self'
op|'.'
name|'fake_dev_2'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'len'
op|'('
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'pools'
op|')'
op|','
number|'2'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'pools'
op|'['
number|'0'
op|']'
op|'['
string|"'count'"
op|']'
op|','
number|'2'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'pools'
op|'['
number|'0'
op|']'
op|'['
string|"'vendor_id'"
op|']'
op|','
string|"'v1'"
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_remove_device_exception
dedent|''
name|'def'
name|'test_remove_device_exception'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'remove_device'
op|'('
name|'self'
op|'.'
name|'fake_dev_2'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertRaises'
op|'('
name|'exception'
op|'.'
name|'PciDevicePoolEmpty'
op|','
nl|'\n'
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'remove_device'
op|','
nl|'\n'
name|'self'
op|'.'
name|'fake_dev_2'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_pci_stats_equivalent
dedent|''
name|'def'
name|'test_pci_stats_equivalent'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'pci_stats2'
op|'='
name|'stats'
op|'.'
name|'PciDeviceStats'
op|'('
op|')'
newline|'\n'
name|'map'
op|'('
name|'pci_stats2'
op|'.'
name|'add_device'
op|','
op|'['
name|'self'
op|'.'
name|'fake_dev_1'
op|','
nl|'\n'
name|'self'
op|'.'
name|'fake_dev_2'
op|','
nl|'\n'
name|'self'
op|'.'
name|'fake_dev_3'
op|','
nl|'\n'
name|'self'
op|'.'
name|'fake_dev_4'
op|']'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'self'
op|'.'
name|'pci_stats'
op|','
name|'pci_stats2'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_pci_stats_not_equivalent
dedent|''
name|'def'
name|'test_pci_stats_not_equivalent'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'pci_stats2'
op|'='
name|'stats'
op|'.'
name|'PciDeviceStats'
op|'('
op|')'
newline|'\n'
name|'map'
op|'('
name|'pci_stats2'
op|'.'
name|'add_device'
op|','
op|'['
name|'self'
op|'.'
name|'fake_dev_1'
op|','
nl|'\n'
name|'self'
op|'.'
name|'fake_dev_2'
op|','
nl|'\n'
name|'self'
op|'.'
name|'fake_dev_3'
op|']'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertNotEqual'
op|'('
name|'self'
op|'.'
name|'pci_stats'
op|','
name|'pci_stats2'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_object_create
dedent|''
name|'def'
name|'test_object_create'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'m'
op|'='
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'to_device_pools_obj'
op|'('
op|')'
newline|'\n'
name|'new_stats'
op|'='
name|'stats'
op|'.'
name|'PciDeviceStats'
op|'('
name|'m'
op|')'
newline|'\n'
nl|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'len'
op|'('
name|'new_stats'
op|'.'
name|'pools'
op|')'
op|','
number|'3'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'set'
op|'('
op|'['
name|'d'
op|'['
string|"'count'"
op|']'
name|'for'
name|'d'
name|'in'
name|'new_stats'
op|']'
op|')'
op|','
nl|'\n'
name|'set'
op|'('
op|'['
number|'1'
op|','
number|'2'
op|']'
op|')'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'set'
op|'('
op|'['
name|'d'
op|'['
string|"'vendor_id'"
op|']'
name|'for'
name|'d'
name|'in'
name|'new_stats'
op|']'
op|')'
op|','
nl|'\n'
name|'set'
op|'('
op|'['
string|"'v1'"
op|','
string|"'v2'"
op|','
string|"'v3'"
op|']'
op|')'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_support_requests
dedent|''
name|'def'
name|'test_support_requests'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'support_requests'
op|'('
name|'pci_requests'
op|')'
op|','
nl|'\n'
name|'True'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'len'
op|'('
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'pools'
op|')'
op|','
number|'3'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'set'
op|'('
op|'['
name|'d'
op|'['
string|"'count'"
op|']'
name|'for'
name|'d'
name|'in'
name|'self'
op|'.'
name|'pci_stats'
op|']'
op|')'
op|','
nl|'\n'
name|'set'
op|'('
op|'('
number|'1'
op|','
number|'2'
op|')'
op|')'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_support_requests_failed
dedent|''
name|'def'
name|'test_support_requests_failed'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'assertEqual'
op|'('
nl|'\n'
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'support_requests'
op|'('
name|'pci_requests_multiple'
op|')'
op|','
name|'False'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'len'
op|'('
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'pools'
op|')'
op|','
number|'3'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'set'
op|'('
op|'['
name|'d'
op|'['
string|"'count'"
op|']'
name|'for'
name|'d'
name|'in'
name|'self'
op|'.'
name|'pci_stats'
op|']'
op|')'
op|','
nl|'\n'
name|'set'
op|'('
op|'['
number|'1'
op|','
number|'2'
op|']'
op|')'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_apply_requests
dedent|''
name|'def'
name|'test_apply_requests'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'apply_requests'
op|'('
name|'pci_requests'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'len'
op|'('
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'pools'
op|')'
op|','
number|'2'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'pools'
op|'['
number|'0'
op|']'
op|'['
string|"'vendor_id'"
op|']'
op|','
string|"'v1'"
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'pools'
op|'['
number|'0'
op|']'
op|'['
string|"'count'"
op|']'
op|','
number|'1'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_apply_requests_failed
dedent|''
name|'def'
name|'test_apply_requests_failed'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'assertRaises'
op|'('
name|'exception'
op|'.'
name|'PciDeviceRequestFailed'
op|','
nl|'\n'
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'apply_requests'
op|','
nl|'\n'
name|'pci_requests_multiple'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_consume_requests
dedent|''
name|'def'
name|'test_consume_requests'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'devs'
op|'='
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'consume_requests'
op|'('
name|'pci_requests'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
number|'2'
op|','
name|'len'
op|'('
name|'devs'
op|')'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'set'
op|'('
op|'['
string|"'v1'"
op|','
string|"'v2'"
op|']'
op|')'
op|','
nl|'\n'
name|'set'
op|'('
op|'['
name|'dev'
op|'.'
name|'vendor_id'
name|'for'
name|'dev'
name|'in'
name|'devs'
op|']'
op|')'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_consume_requests_empty
dedent|''
name|'def'
name|'test_consume_requests_empty'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'devs'
op|'='
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'consume_requests'
op|'('
op|'['
op|']'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
number|'0'
op|','
name|'len'
op|'('
name|'devs'
op|')'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_consume_requests_failed
dedent|''
name|'def'
name|'test_consume_requests_failed'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'assertIsNone'
op|'('
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'consume_requests'
op|'('
nl|'\n'
name|'pci_requests_multiple'
op|')'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_support_requests_numa
dedent|''
name|'def'
name|'test_support_requests_numa'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'cells'
op|'='
op|'['
name|'objects'
op|'.'
name|'NUMACell'
op|'('
name|'id'
op|'='
number|'0'
op|','
name|'cpuset'
op|'='
name|'set'
op|'('
op|')'
op|','
name|'memory'
op|'='
number|'0'
op|')'
op|','
nl|'\n'
name|'objects'
op|'.'
name|'NUMACell'
op|'('
name|'id'
op|'='
number|'1'
op|','
name|'cpuset'
op|'='
name|'set'
op|'('
op|')'
op|','
name|'memory'
op|'='
number|'0'
op|')'
op|']'
newline|'\n'
name|'self'
op|'.'
name|'assertTrue'
op|'('
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'support_requests'
op|'('
nl|'\n'
name|'pci_requests'
op|','
name|'cells'
op|')'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_support_requests_numa_failed
dedent|''
name|'def'
name|'test_support_requests_numa_failed'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'cells'
op|'='
op|'['
name|'objects'
op|'.'
name|'NUMACell'
op|'('
name|'id'
op|'='
number|'0'
op|','
name|'cpuset'
op|'='
name|'set'
op|'('
op|')'
op|','
name|'memory'
op|'='
number|'0'
op|')'
op|']'
newline|'\n'
name|'self'
op|'.'
name|'assertFalse'
op|'('
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'support_requests'
op|'('
nl|'\n'
name|'pci_requests'
op|','
name|'cells'
op|')'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_support_requests_no_numa_info
dedent|''
name|'def'
name|'test_support_requests_no_numa_info'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'cells'
op|'='
op|'['
name|'objects'
op|'.'
name|'NUMACell'
op|'('
name|'id'
op|'='
number|'0'
op|','
name|'cpuset'
op|'='
name|'set'
op|'('
op|')'
op|','
name|'memory'
op|'='
number|'0'
op|')'
op|']'
newline|'\n'
name|'pci_request'
op|'='
op|'['
name|'objects'
op|'.'
name|'InstancePCIRequest'
op|'('
name|'count'
op|'='
number|'1'
op|','
nl|'\n'
name|'spec'
op|'='
op|'['
op|'{'
string|"'vendor_id'"
op|':'
string|"'v3'"
op|'}'
op|']'
op|')'
op|']'
newline|'\n'
name|'self'
op|'.'
name|'assertTrue'
op|'('
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'support_requests'
op|'('
nl|'\n'
name|'pci_request'
op|','
name|'cells'
op|')'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_consume_requests_numa
dedent|''
name|'def'
name|'test_consume_requests_numa'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'cells'
op|'='
op|'['
name|'objects'
op|'.'
name|'NUMACell'
op|'('
name|'id'
op|'='
number|'0'
op|','
name|'cpuset'
op|'='
name|'set'
op|'('
op|')'
op|','
name|'memory'
op|'='
number|'0'
op|')'
op|','
nl|'\n'
name|'objects'
op|'.'
name|'NUMACell'
op|'('
name|'id'
op|'='
number|'1'
op|','
name|'cpuset'
op|'='
name|'set'
op|'('
op|')'
op|','
name|'memory'
op|'='
number|'0'
op|')'
op|']'
newline|'\n'
name|'devs'
op|'='
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'consume_requests'
op|'('
name|'pci_requests'
op|','
name|'cells'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
number|'2'
op|','
name|'len'
op|'('
name|'devs'
op|')'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'set'
op|'('
op|'['
string|"'v1'"
op|','
string|"'v2'"
op|']'
op|')'
op|','
nl|'\n'
name|'set'
op|'('
op|'['
name|'dev'
op|'.'
name|'vendor_id'
name|'for'
name|'dev'
name|'in'
name|'devs'
op|']'
op|')'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_consume_requests_numa_failed
dedent|''
name|'def'
name|'test_consume_requests_numa_failed'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'cells'
op|'='
op|'['
name|'objects'
op|'.'
name|'NUMACell'
op|'('
name|'id'
op|'='
number|'0'
op|','
name|'cpuset'
op|'='
name|'set'
op|'('
op|')'
op|','
name|'memory'
op|'='
number|'0'
op|')'
op|']'
newline|'\n'
name|'self'
op|'.'
name|'assertIsNone'
op|'('
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'consume_requests'
op|'('
name|'pci_requests'
op|','
name|'cells'
op|')'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_consume_requests_no_numa_info
dedent|''
name|'def'
name|'test_consume_requests_no_numa_info'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'cells'
op|'='
op|'['
name|'objects'
op|'.'
name|'NUMACell'
op|'('
name|'id'
op|'='
number|'0'
op|','
name|'cpuset'
op|'='
name|'set'
op|'('
op|')'
op|','
name|'memory'
op|'='
number|'0'
op|')'
op|']'
newline|'\n'
name|'pci_request'
op|'='
op|'['
name|'objects'
op|'.'
name|'InstancePCIRequest'
op|'('
name|'count'
op|'='
number|'1'
op|','
nl|'\n'
name|'spec'
op|'='
op|'['
op|'{'
string|"'vendor_id'"
op|':'
string|"'v3'"
op|'}'
op|']'
op|')'
op|']'
newline|'\n'
name|'devs'
op|'='
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'consume_requests'
op|'('
name|'pci_request'
op|','
name|'cells'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
number|'1'
op|','
name|'len'
op|'('
name|'devs'
op|')'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'set'
op|'('
op|'['
string|"'v3'"
op|']'
op|')'
op|','
nl|'\n'
name|'set'
op|'('
op|'['
name|'dev'
op|'.'
name|'vendor_id'
name|'for'
name|'dev'
name|'in'
name|'devs'
op|']'
op|')'
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'mock'
op|'.'
name|'patch'
op|'('
nl|'\n'
string|"'nova.pci.whitelist.Whitelist._parse_white_list_from_config'"
op|')'
newline|'\n'
DECL|member|test_white_list_parsing
name|'def'
name|'test_white_list_parsing'
op|'('
name|'self'
op|','
name|'mock_whitelist_parse'
op|')'
op|':'
newline|'\n'
indent|' '
name|'white_list'
op|'='
string|'\'{"product_id":"0001", "vendor_id":"8086"}\''
newline|'\n'
name|'CONF'
op|'.'
name|'set_override'
op|'('
string|"'pci_passthrough_whitelist'"
op|','
name|'white_list'
op|')'
newline|'\n'
name|'pci_stats'
op|'='
name|'stats'
op|'.'
name|'PciDeviceStats'
op|'('
op|')'
newline|'\n'
name|'pci_stats'
op|'.'
name|'add_device'
op|'('
name|'self'
op|'.'
name|'fake_dev_2'
op|')'
newline|'\n'
name|'pci_stats'
op|'.'
name|'remove_device'
op|'('
name|'self'
op|'.'
name|'fake_dev_2'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
number|'1'
op|','
name|'mock_whitelist_parse'
op|'.'
name|'call_count'
op|')'
newline|'\n'
nl|'\n'
nl|'\n'
DECL|class|PciDeviceStatsWithTagsTestCase
dedent|''
dedent|''
name|'class'
name|'PciDeviceStatsWithTagsTestCase'
op|'('
name|'test'
op|'.'
name|'NoDBTestCase'
op|')'
op|':'
newline|'\n'
nl|'\n'
DECL|member|setUp
indent|' '
name|'def'
name|'setUp'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'super'
op|'('
name|'PciDeviceStatsWithTagsTestCase'
op|','
name|'self'
op|')'
op|'.'
name|'setUp'
op|'('
op|')'
newline|'\n'
name|'white_list'
op|'='
op|'['
string|'\'{"vendor_id":"1137","product_id":"0071",\''
nl|'\n'
string|'\'"address":"*:0a:00.*","physical_network":"physnet1"}\''
op|','
nl|'\n'
string|'\'{"vendor_id":"1137","product_id":"0072"}\''
op|']'
newline|'\n'
name|'self'
op|'.'
name|'flags'
op|'('
name|'pci_passthrough_whitelist'
op|'='
name|'white_list'
op|')'
newline|'\n'
name|'dev_filter'
op|'='
name|'whitelist'
op|'.'
name|'Whitelist'
op|'('
name|'white_list'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'pci_stats'
op|'='
name|'stats'
op|'.'
name|'PciDeviceStats'
op|'('
name|'dev_filter'
op|'='
name|'dev_filter'
op|')'
newline|'\n'
nl|'\n'
DECL|member|_create_pci_devices
dedent|''
name|'def'
name|'_create_pci_devices'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'pci_tagged_devices'
op|'='
op|'['
op|']'
newline|'\n'
name|'for'
name|'dev'
name|'in'
name|'range'
op|'('
number|'4'
op|')'
op|':'
newline|'\n'
indent|' '
name|'pci_dev'
op|'='
op|'{'
string|"'compute_node_id'"
op|':'
number|'1'
op|','
nl|'\n'
string|"'address'"
op|':'
string|"'0000:0a:00.%d'"
op|'%'
name|'dev'
op|','
nl|'\n'
string|"'vendor_id'"
op|':'
string|"'1137'"
op|','
nl|'\n'
string|"'product_id'"
op|':'
string|"'0071'"
op|','
nl|'\n'
string|"'status'"
op|':'
string|"'available'"
op|','
nl|'\n'
string|"'request_id'"
op|':'
name|'None'
op|','
nl|'\n'
string|"'dev_type'"
op|':'
string|"'type-PCI'"
op|','
nl|'\n'
string|"'parent_addr'"
op|':'
name|'None'
op|','
nl|'\n'
string|"'numa_node'"
op|':'
number|'0'
op|'}'
newline|'\n'
name|'self'
op|'.'
name|'pci_tagged_devices'
op|'.'
name|'append'
op|'('
name|'objects'
op|'.'
name|'PciDevice'
op|'.'
name|'create'
op|'('
name|'None'
op|','
nl|'\n'
name|'pci_dev'
op|')'
op|')'
newline|'\n'
nl|'\n'
dedent|''
name|'self'
op|'.'
name|'pci_untagged_devices'
op|'='
op|'['
op|']'
newline|'\n'
name|'for'
name|'dev'
name|'in'
name|'range'
op|'('
number|'3'
op|')'
op|':'
newline|'\n'
indent|' '
name|'pci_dev'
op|'='
op|'{'
string|"'compute_node_id'"
op|':'
number|'1'
op|','
nl|'\n'
string|"'address'"
op|':'
string|"'0000:0b:00.%d'"
op|'%'
name|'dev'
op|','
nl|'\n'
string|"'vendor_id'"
op|':'
string|"'1137'"
op|','
nl|'\n'
string|"'product_id'"
op|':'
string|"'0072'"
op|','
nl|'\n'
string|"'status'"
op|':'
string|"'available'"
op|','
nl|'\n'
string|"'request_id'"
op|':'
name|'None'
op|','
nl|'\n'
string|"'dev_type'"
op|':'
string|"'type-PCI'"
op|','
nl|'\n'
string|"'parent_addr'"
op|':'
name|'None'
op|','
nl|'\n'
string|"'numa_node'"
op|':'
number|'0'
op|'}'
newline|'\n'
name|'self'
op|'.'
name|'pci_untagged_devices'
op|'.'
name|'append'
op|'('
name|'objects'
op|'.'
name|'PciDevice'
op|'.'
name|'create'
op|'('
name|'None'
op|','
nl|'\n'
name|'pci_dev'
op|')'
op|')'
newline|'\n'
nl|'\n'
dedent|''
name|'map'
op|'('
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'add_device'
op|','
name|'self'
op|'.'
name|'pci_tagged_devices'
op|')'
newline|'\n'
name|'map'
op|'('
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'add_device'
op|','
name|'self'
op|'.'
name|'pci_untagged_devices'
op|')'
newline|'\n'
nl|'\n'
DECL|member|_assertPoolContent
dedent|''
name|'def'
name|'_assertPoolContent'
op|'('
name|'self'
op|','
name|'pool'
op|','
name|'vendor_id'
op|','
name|'product_id'
op|','
name|'count'
op|','
op|'**'
name|'tags'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'vendor_id'
op|','
name|'pool'
op|'['
string|"'vendor_id'"
op|']'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'product_id'
op|','
name|'pool'
op|'['
string|"'product_id'"
op|']'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'count'
op|','
name|'pool'
op|'['
string|"'count'"
op|']'
op|')'
newline|'\n'
name|'if'
name|'tags'
op|':'
newline|'\n'
indent|' '
name|'for'
name|'k'
op|','
name|'v'
name|'in'
name|'six'
op|'.'
name|'iteritems'
op|'('
name|'tags'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'v'
op|','
name|'pool'
op|'['
name|'k'
op|']'
op|')'
newline|'\n'
nl|'\n'
DECL|member|_assertPools
dedent|''
dedent|''
dedent|''
name|'def'
name|'_assertPools'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
comment|"# Pools are ordered based on the number of keys. 'product_id',"
nl|'\n'
comment|"# 'vendor_id' are always part of the keys. When tags are present,"
nl|'\n'
comment|'# they are also part of the keys. In this test class, we have'
nl|'\n'
comment|"# two pools with the second one having the tag 'physical_network'"
nl|'\n'
comment|"# and the value 'physnet1'"
nl|'\n'
indent|' '
name|'self'
op|'.'
name|'assertEqual'
op|'('
number|'2'
op|','
name|'len'
op|'('
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'pools'
op|')'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'_assertPoolContent'
op|'('
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'pools'
op|'['
number|'0'
op|']'
op|','
string|"'1137'"
op|','
string|"'0072'"
op|','
nl|'\n'
name|'len'
op|'('
name|'self'
op|'.'
name|'pci_untagged_devices'
op|')'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'self'
op|'.'
name|'pci_untagged_devices'
op|','
nl|'\n'
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'pools'
op|'['
number|'0'
op|']'
op|'['
string|"'devices'"
op|']'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'_assertPoolContent'
op|'('
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'pools'
op|'['
number|'1'
op|']'
op|','
string|"'1137'"
op|','
string|"'0071'"
op|','
nl|'\n'
name|'len'
op|'('
name|'self'
op|'.'
name|'pci_tagged_devices'
op|')'
op|','
nl|'\n'
name|'physical_network'
op|'='
string|"'physnet1'"
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'self'
op|'.'
name|'pci_tagged_devices'
op|','
nl|'\n'
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'pools'
op|'['
number|'1'
op|']'
op|'['
string|"'devices'"
op|']'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_add_devices
dedent|''
name|'def'
name|'test_add_devices'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'_create_pci_devices'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'_assertPools'
op|'('
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_consume_reqeusts
dedent|''
name|'def'
name|'test_consume_reqeusts'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'_create_pci_devices'
op|'('
op|')'
newline|'\n'
name|'pci_requests'
op|'='
op|'['
name|'objects'
op|'.'
name|'InstancePCIRequest'
op|'('
name|'count'
op|'='
number|'1'
op|','
nl|'\n'
name|'spec'
op|'='
op|'['
op|'{'
string|"'physical_network'"
op|':'
string|"'physnet1'"
op|'}'
op|']'
op|')'
op|','
nl|'\n'
name|'objects'
op|'.'
name|'InstancePCIRequest'
op|'('
name|'count'
op|'='
number|'1'
op|','
nl|'\n'
name|'spec'
op|'='
op|'['
op|'{'
string|"'vendor_id'"
op|':'
string|"'1137'"
op|','
nl|'\n'
string|"'product_id'"
op|':'
string|"'0072'"
op|'}'
op|']'
op|')'
op|']'
newline|'\n'
name|'devs'
op|'='
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'consume_requests'
op|'('
name|'pci_requests'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
number|'2'
op|','
name|'len'
op|'('
name|'devs'
op|')'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'set'
op|'('
op|'['
string|"'0071'"
op|','
string|"'0072'"
op|']'
op|')'
op|','
nl|'\n'
name|'set'
op|'('
op|'['
name|'dev'
op|'.'
name|'product_id'
name|'for'
name|'dev'
name|'in'
name|'devs'
op|']'
op|')'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'_assertPoolContent'
op|'('
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'pools'
op|'['
number|'0'
op|']'
op|','
string|"'1137'"
op|','
string|"'0072'"
op|','
number|'2'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'_assertPoolContent'
op|'('
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'pools'
op|'['
number|'1'
op|']'
op|','
string|"'1137'"
op|','
string|"'0071'"
op|','
number|'3'
op|','
nl|'\n'
name|'physical_network'
op|'='
string|"'physnet1'"
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_add_device_no_devspec
dedent|''
name|'def'
name|'test_add_device_no_devspec'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'_create_pci_devices'
op|'('
op|')'
newline|'\n'
name|'pci_dev'
op|'='
op|'{'
string|"'compute_node_id'"
op|':'
number|'1'
op|','
nl|'\n'
string|"'address'"
op|':'
string|"'0000:0c:00.1'"
op|','
nl|'\n'
string|"'vendor_id'"
op|':'
string|"'2345'"
op|','
nl|'\n'
string|"'product_id'"
op|':'
string|"'0172'"
op|','
nl|'\n'
string|"'status'"
op|':'
string|"'available'"
op|','
nl|'\n'
string|"'parent_addr'"
op|':'
name|'None'
op|','
nl|'\n'
string|"'request_id'"
op|':'
name|'None'
op|'}'
newline|'\n'
name|'pci_dev_obj'
op|'='
name|'objects'
op|'.'
name|'PciDevice'
op|'.'
name|'create'
op|'('
name|'None'
op|','
name|'pci_dev'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'add_device'
op|'('
name|'pci_dev_obj'
op|')'
newline|'\n'
comment|'# There should be no change'
nl|'\n'
name|'self'
op|'.'
name|'assertIsNone'
op|'('
nl|'\n'
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'_create_pool_keys_from_dev'
op|'('
name|'pci_dev_obj'
op|')'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'_assertPools'
op|'('
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_remove_device_no_devspec
dedent|''
name|'def'
name|'test_remove_device_no_devspec'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'_create_pci_devices'
op|'('
op|')'
newline|'\n'
name|'pci_dev'
op|'='
op|'{'
string|"'compute_node_id'"
op|':'
number|'1'
op|','
nl|'\n'
string|"'address'"
op|':'
string|"'0000:0c:00.1'"
op|','
nl|'\n'
string|"'vendor_id'"
op|':'
string|"'2345'"
op|','
nl|'\n'
string|"'product_id'"
op|':'
string|"'0172'"
op|','
nl|'\n'
string|"'status'"
op|':'
string|"'available'"
op|','
nl|'\n'
string|"'parent_addr'"
op|':'
name|'None'
op|','
nl|'\n'
string|"'request_id'"
op|':'
name|'None'
op|'}'
newline|'\n'
name|'pci_dev_obj'
op|'='
name|'objects'
op|'.'
name|'PciDevice'
op|'.'
name|'create'
op|'('
name|'None'
op|','
name|'pci_dev'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'remove_device'
op|'('
name|'pci_dev_obj'
op|')'
newline|'\n'
comment|'# There should be no change'
nl|'\n'
name|'self'
op|'.'
name|'assertIsNone'
op|'('
nl|'\n'
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'_create_pool_keys_from_dev'
op|'('
name|'pci_dev_obj'
op|')'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'_assertPools'
op|'('
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_remove_device
dedent|''
name|'def'
name|'test_remove_device'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'_create_pci_devices'
op|'('
op|')'
newline|'\n'
name|'dev1'
op|'='
name|'self'
op|'.'
name|'pci_untagged_devices'
op|'.'
name|'pop'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'remove_device'
op|'('
name|'dev1'
op|')'
newline|'\n'
name|'dev2'
op|'='
name|'self'
op|'.'
name|'pci_tagged_devices'
op|'.'
name|'pop'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'remove_device'
op|'('
name|'dev2'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'_assertPools'
op|'('
op|')'
newline|'\n'
nl|'\n'
nl|'\n'
DECL|class|PciDeviceVFPFStatsTestCase
dedent|''
dedent|''
name|'class'
name|'PciDeviceVFPFStatsTestCase'
op|'('
name|'test'
op|'.'
name|'NoDBTestCase'
op|')'
op|':'
newline|'\n'
nl|'\n'
DECL|member|setUp
indent|' '
name|'def'
name|'setUp'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'super'
op|'('
name|'PciDeviceVFPFStatsTestCase'
op|','
name|'self'
op|')'
op|'.'
name|'setUp'
op|'('
op|')'
newline|'\n'
name|'white_list'
op|'='
op|'['
string|'\'{"vendor_id":"8086","product_id":"1528"}\''
op|','
nl|'\n'
string|'\'{"vendor_id":"8086","product_id":"1515"}\''
op|']'
newline|'\n'
name|'self'
op|'.'
name|'flags'
op|'('
name|'pci_passthrough_whitelist'
op|'='
name|'white_list'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'pci_stats'
op|'='
name|'stats'
op|'.'
name|'PciDeviceStats'
op|'('
op|')'
newline|'\n'
nl|'\n'
DECL|member|_create_pci_devices
dedent|''
name|'def'
name|'_create_pci_devices'
op|'('
name|'self'
op|','
name|'vf_product_id'
op|'='
number|'1515'
op|','
name|'pf_product_id'
op|'='
number|'1528'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'sriov_pf_devices'
op|'='
op|'['
op|']'
newline|'\n'
name|'for'
name|'dev'
name|'in'
name|'range'
op|'('
number|'2'
op|')'
op|':'
newline|'\n'
indent|' '
name|'pci_dev'
op|'='
op|'{'
string|"'compute_node_id'"
op|':'
number|'1'
op|','
nl|'\n'
string|"'address'"
op|':'
string|"'0000:81:00.%d'"
op|'%'
name|'dev'
op|','
nl|'\n'
string|"'vendor_id'"
op|':'
string|"'8086'"
op|','
nl|'\n'
string|"'product_id'"
op|':'
string|"'%d'"
op|'%'
name|'pf_product_id'
op|','
nl|'\n'
string|"'status'"
op|':'
string|"'available'"
op|','
nl|'\n'
string|"'request_id'"
op|':'
name|'None'
op|','
nl|'\n'
string|"'dev_type'"
op|':'
name|'fields'
op|'.'
name|'PciDeviceType'
op|'.'
name|'SRIOV_PF'
op|','
nl|'\n'
string|"'parent_addr'"
op|':'
name|'None'
op|','
nl|'\n'
string|"'numa_node'"
op|':'
number|'0'
op|'}'
newline|'\n'
name|'self'
op|'.'
name|'sriov_pf_devices'
op|'.'
name|'append'
op|'('
name|'objects'
op|'.'
name|'PciDevice'
op|'.'
name|'create'
op|'('
name|'None'
op|','
nl|'\n'
name|'pci_dev'
op|')'
op|')'
newline|'\n'
nl|'\n'
dedent|''
name|'self'
op|'.'
name|'sriov_vf_devices'
op|'='
op|'['
op|']'
newline|'\n'
name|'for'
name|'dev'
name|'in'
name|'range'
op|'('
number|'8'
op|')'
op|':'
newline|'\n'
indent|' '
name|'pci_dev'
op|'='
op|'{'
string|"'compute_node_id'"
op|':'
number|'1'
op|','
nl|'\n'
string|"'address'"
op|':'
string|"'0000:81:10.%d'"
op|'%'
name|'dev'
op|','
nl|'\n'
string|"'vendor_id'"
op|':'
string|"'8086'"
op|','
nl|'\n'
string|"'product_id'"
op|':'
string|"'%d'"
op|'%'
name|'vf_product_id'
op|','
nl|'\n'
string|"'status'"
op|':'
string|"'available'"
op|','
nl|'\n'
string|"'request_id'"
op|':'
name|'None'
op|','
nl|'\n'
string|"'dev_type'"
op|':'
name|'fields'
op|'.'
name|'PciDeviceType'
op|'.'
name|'SRIOV_VF'
op|','
nl|'\n'
string|"'parent_addr'"
op|':'
string|"'0000:81:00.%d'"
op|'%'
name|'int'
op|'('
name|'dev'
op|'/'
number|'4'
op|')'
op|','
nl|'\n'
string|"'numa_node'"
op|':'
number|'0'
op|'}'
newline|'\n'
name|'self'
op|'.'
name|'sriov_vf_devices'
op|'.'
name|'append'
op|'('
name|'objects'
op|'.'
name|'PciDevice'
op|'.'
name|'create'
op|'('
name|'None'
op|','
nl|'\n'
name|'pci_dev'
op|')'
op|')'
newline|'\n'
nl|'\n'
dedent|''
name|'list'
op|'('
name|'map'
op|'('
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'add_device'
op|','
name|'self'
op|'.'
name|'sriov_pf_devices'
op|')'
op|')'
newline|'\n'
name|'list'
op|'('
name|'map'
op|'('
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'add_device'
op|','
name|'self'
op|'.'
name|'sriov_vf_devices'
op|')'
op|')'
newline|'\n'
nl|'\n'
DECL|member|_fake_get_by_parent_address
dedent|''
name|'def'
name|'_fake_get_by_parent_address'
op|'('
name|'self'
op|','
name|'ctxt'
op|','
name|'node_id'
op|','
name|'addr'
op|')'
op|':'
newline|'\n'
indent|' '
name|'vf_devs'
op|'='
op|'['
op|']'
newline|'\n'
name|'for'
name|'dev'
name|'in'
name|'self'
op|'.'
name|'sriov_vf_devices'
op|':'
newline|'\n'
indent|' '
name|'if'
name|'dev'
op|'.'
name|'parent_addr'
op|'=='
name|'addr'
op|':'
newline|'\n'
indent|' '
name|'vf_devs'
op|'.'
name|'append'
op|'('
name|'dev'
op|')'
newline|'\n'
dedent|''
dedent|''
name|'return'
name|'vf_devs'
newline|'\n'
nl|'\n'
DECL|member|_fake_pci_device_get_by_addr
dedent|''
name|'def'
name|'_fake_pci_device_get_by_addr'
op|'('
name|'self'
op|','
name|'ctxt'
op|','
name|'id'
op|','
name|'addr'
op|')'
op|':'
newline|'\n'
indent|' '
name|'for'
name|'dev'
name|'in'
name|'self'
op|'.'
name|'sriov_pf_devices'
op|':'
newline|'\n'
indent|' '
name|'if'
name|'dev'
op|'.'
name|'address'
op|'=='
name|'addr'
op|':'
newline|'\n'
indent|' '
name|'return'
name|'dev'
newline|'\n'
nl|'\n'
DECL|member|test_consume_VF_requests
dedent|''
dedent|''
dedent|''
name|'def'
name|'test_consume_VF_requests'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'with'
name|'mock'
op|'.'
name|'patch'
op|'.'
name|'object'
op|'('
name|'objects'
op|'.'
name|'PciDevice'
op|','
string|"'get_by_dev_addr'"
op|','
nl|'\n'
name|'side_effect'
op|'='
name|'self'
op|'.'
name|'_fake_pci_device_get_by_addr'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'_create_pci_devices'
op|'('
op|')'
newline|'\n'
name|'pci_requests'
op|'='
op|'['
name|'objects'
op|'.'
name|'InstancePCIRequest'
op|'('
name|'count'
op|'='
number|'2'
op|','
nl|'\n'
name|'spec'
op|'='
op|'['
op|'{'
string|"'product_id'"
op|':'
string|"'1515'"
op|'}'
op|']'
op|')'
op|']'
newline|'\n'
name|'devs'
op|'='
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'consume_requests'
op|'('
name|'pci_requests'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
number|'2'
op|','
name|'len'
op|'('
name|'devs'
op|')'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'set'
op|'('
op|'['
string|"'1515'"
op|']'
op|')'
op|','
nl|'\n'
name|'set'
op|'('
op|'['
name|'dev'
op|'.'
name|'product_id'
name|'for'
name|'dev'
name|'in'
name|'devs'
op|']'
op|')'
op|')'
newline|'\n'
name|'free_devs'
op|'='
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'get_free_devs'
op|'('
op|')'
newline|'\n'
comment|'# Validate that the parents of these VFs has been removed'
nl|'\n'
comment|'# from pools.'
nl|'\n'
name|'for'
name|'dev'
name|'in'
name|'devs'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'assertTrue'
op|'('
name|'all'
op|'('
name|'dev'
op|'.'
name|'parent_addr'
op|'!='
name|'free_dev'
op|'.'
name|'address'
nl|'\n'
name|'for'
name|'free_dev'
name|'in'
name|'free_devs'
op|')'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_consume_PF_requests
dedent|''
dedent|''
dedent|''
name|'def'
name|'test_consume_PF_requests'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'with'
name|'mock'
op|'.'
name|'patch'
op|'.'
name|'object'
op|'('
name|'objects'
op|'.'
name|'PciDeviceList'
op|','
string|"'get_by_parent_address'"
op|','
nl|'\n'
name|'side_effect'
op|'='
name|'self'
op|'.'
name|'_fake_get_by_parent_address'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'_create_pci_devices'
op|'('
op|')'
newline|'\n'
name|'pci_requests'
op|'='
op|'['
name|'objects'
op|'.'
name|'InstancePCIRequest'
op|'('
name|'count'
op|'='
number|'2'
op|','
nl|'\n'
name|'spec'
op|'='
op|'['
op|'{'
string|"'product_id'"
op|':'
string|"'1528'"
op|','
nl|'\n'
string|"'dev_type'"
op|':'
string|"'type-PF'"
op|'}'
op|']'
op|')'
op|']'
newline|'\n'
name|'devs'
op|'='
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'consume_requests'
op|'('
name|'pci_requests'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
number|'2'
op|','
name|'len'
op|'('
name|'devs'
op|')'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'set'
op|'('
op|'['
string|"'1528'"
op|']'
op|')'
op|','
nl|'\n'
name|'set'
op|'('
op|'['
name|'dev'
op|'.'
name|'product_id'
name|'for'
name|'dev'
name|'in'
name|'devs'
op|']'
op|')'
op|')'
newline|'\n'
name|'free_devs'
op|'='
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'get_free_devs'
op|'('
op|')'
newline|'\n'
comment|'# Validate that there are no free devices left, as when allocating'
nl|'\n'
comment|'# both available PFs, its VFs should not be available.'
nl|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
number|'0'
op|','
name|'len'
op|'('
name|'free_devs'
op|')'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_consume_VF_and_PF_requests
dedent|''
dedent|''
name|'def'
name|'test_consume_VF_and_PF_requests'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'with'
name|'test'
op|'.'
name|'nested'
op|'('
nl|'\n'
name|'mock'
op|'.'
name|'patch'
op|'.'
name|'object'
op|'('
name|'objects'
op|'.'
name|'PciDevice'
op|','
string|"'get_by_dev_addr'"
op|','
nl|'\n'
name|'side_effect'
op|'='
name|'self'
op|'.'
name|'_fake_pci_device_get_by_addr'
op|')'
op|','
nl|'\n'
name|'mock'
op|'.'
name|'patch'
op|'.'
name|'object'
op|'('
name|'objects'
op|'.'
name|'PciDeviceList'
op|','
string|"'get_by_parent_address'"
op|','
nl|'\n'
name|'side_effect'
op|'='
name|'self'
op|'.'
name|'_fake_get_by_parent_address'
op|')'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'_create_pci_devices'
op|'('
op|')'
newline|'\n'
name|'pci_requests'
op|'='
op|'['
name|'objects'
op|'.'
name|'InstancePCIRequest'
op|'('
name|'count'
op|'='
number|'2'
op|','
nl|'\n'
name|'spec'
op|'='
op|'['
op|'{'
string|"'product_id'"
op|':'
string|"'1515'"
op|'}'
op|']'
op|')'
op|','
nl|'\n'
name|'objects'
op|'.'
name|'InstancePCIRequest'
op|'('
name|'count'
op|'='
number|'1'
op|','
nl|'\n'
name|'spec'
op|'='
op|'['
op|'{'
string|"'product_id'"
op|':'
string|"'1528'"
op|','
nl|'\n'
string|"'dev_type'"
op|':'
string|"'type-PF'"
op|'}'
op|']'
op|')'
op|']'
newline|'\n'
name|'devs'
op|'='
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'consume_requests'
op|'('
name|'pci_requests'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
number|'3'
op|','
name|'len'
op|'('
name|'devs'
op|')'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'assertEqual'
op|'('
name|'set'
op|'('
op|'['
string|"'1528'"
op|','
string|"'1515'"
op|']'
op|')'
op|','
nl|'\n'
name|'set'
op|'('
op|'['
name|'dev'
op|'.'
name|'product_id'
name|'for'
name|'dev'
name|'in'
name|'devs'
op|']'
op|')'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_consume_VF_and_PF_requests_failed
dedent|''
dedent|''
name|'def'
name|'test_consume_VF_and_PF_requests_failed'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'with'
name|'test'
op|'.'
name|'nested'
op|'('
nl|'\n'
name|'mock'
op|'.'
name|'patch'
op|'.'
name|'object'
op|'('
name|'objects'
op|'.'
name|'PciDevice'
op|','
string|"'get_by_dev_addr'"
op|','
nl|'\n'
name|'side_effect'
op|'='
name|'self'
op|'.'
name|'_fake_pci_device_get_by_addr'
op|')'
op|','
nl|'\n'
name|'mock'
op|'.'
name|'patch'
op|'.'
name|'object'
op|'('
name|'objects'
op|'.'
name|'PciDeviceList'
op|','
string|"'get_by_parent_address'"
op|','
nl|'\n'
name|'side_effect'
op|'='
name|'self'
op|'.'
name|'_fake_get_by_parent_address'
op|')'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'_create_pci_devices'
op|'('
op|')'
newline|'\n'
name|'pci_requests'
op|'='
op|'['
name|'objects'
op|'.'
name|'InstancePCIRequest'
op|'('
name|'count'
op|'='
number|'5'
op|','
nl|'\n'
name|'spec'
op|'='
op|'['
op|'{'
string|"'product_id'"
op|':'
string|"'1515'"
op|'}'
op|']'
op|')'
op|','
nl|'\n'
name|'objects'
op|'.'
name|'InstancePCIRequest'
op|'('
name|'count'
op|'='
number|'1'
op|','
nl|'\n'
name|'spec'
op|'='
op|'['
op|'{'
string|"'product_id'"
op|':'
string|"'1528'"
op|','
nl|'\n'
string|"'dev_type'"
op|':'
string|"'type-PF'"
op|'}'
op|']'
op|')'
op|']'
newline|'\n'
name|'self'
op|'.'
name|'assertIsNone'
op|'('
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'consume_requests'
op|'('
name|'pci_requests'
op|')'
op|')'
newline|'\n'
nl|'\n'
DECL|member|test_consume_VF_and_PF_same_prodict_id_failed
dedent|''
dedent|''
name|'def'
name|'test_consume_VF_and_PF_same_prodict_id_failed'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'with'
name|'test'
op|'.'
name|'nested'
op|'('
nl|'\n'
name|'mock'
op|'.'
name|'patch'
op|'.'
name|'object'
op|'('
name|'objects'
op|'.'
name|'PciDevice'
op|','
string|"'get_by_dev_addr'"
op|','
nl|'\n'
name|'side_effect'
op|'='
name|'self'
op|'.'
name|'_fake_pci_device_get_by_addr'
op|')'
op|','
nl|'\n'
name|'mock'
op|'.'
name|'patch'
op|'.'
name|'object'
op|'('
name|'objects'
op|'.'
name|'PciDeviceList'
op|','
string|"'get_by_parent_address'"
op|','
nl|'\n'
name|'side_effect'
op|'='
name|'self'
op|'.'
name|'_fake_get_by_parent_address'
op|')'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'_create_pci_devices'
op|'('
name|'pf_product_id'
op|'='
number|'1515'
op|')'
newline|'\n'
name|'pci_requests'
op|'='
op|'['
name|'objects'
op|'.'
name|'InstancePCIRequest'
op|'('
name|'count'
op|'='
number|'9'
op|','
nl|'\n'
name|'spec'
op|'='
op|'['
op|'{'
string|"'product_id'"
op|':'
string|"'1515'"
op|'}'
op|']'
op|')'
op|']'
newline|'\n'
name|'self'
op|'.'
name|'assertIsNone'
op|'('
name|'self'
op|'.'
name|'pci_stats'
op|'.'
name|'consume_requests'
op|'('
name|'pci_requests'
op|')'
op|')'
newline|'\n'
dedent|''
dedent|''
dedent|''
endmarker|''
end_unit
| 11.877546
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| 0.041367
| 0.171345
| 0.086424
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| 0.913839
| 0.894713
| 0.870853
| 0.844813
| 0.813813
| 0.778567
| 0
| 0.010723
| 0.100482
| 46,655
| 3,927
| 89
| 11.88057
| 0.623418
| 0
| 0
| 0.963331
| 0
| 0
| 0.342064
| 0.032108
| 0
| 0
| 0
| 0
| 0.017316
| 0
| null | null | 0.000764
| 0.002546
| null | null | 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 1
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
79965c81817cdd4b28acc4ae1826adf0858113ac
| 228
|
py
|
Python
|
aiflearn/algorithms/inprocessing/celisMeta/__init__.py
|
gusrabbit/aif360-learn
|
b14a9b98e96dd2756faf312047e9a50ccc1559fa
|
[
"Apache-2.0"
] | null | null | null |
aiflearn/algorithms/inprocessing/celisMeta/__init__.py
|
gusrabbit/aif360-learn
|
b14a9b98e96dd2756faf312047e9a50ccc1559fa
|
[
"Apache-2.0"
] | null | null | null |
aiflearn/algorithms/inprocessing/celisMeta/__init__.py
|
gusrabbit/aif360-learn
|
b14a9b98e96dd2756faf312047e9a50ccc1559fa
|
[
"Apache-2.0"
] | null | null | null |
from aiflearn.algorithms.inprocessing.celisMeta.FalseDiscovery import FalseDiscovery
from aiflearn.algorithms.inprocessing.celisMeta.StatisticalRate import StatisticalRate
import aiflearn.algorithms.inprocessing.celisMeta.utils
| 57
| 86
| 0.903509
| 22
| 228
| 9.363636
| 0.409091
| 0.262136
| 0.436893
| 0.567961
| 0.417476
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| 0
| 0
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| 0.04386
| 228
| 3
| 87
| 76
| 0.944954
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| 0
| 1
| 0
| true
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| 1
| 0
| 1
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| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
8ddf9121970848b72b08d6a8d93ab4e46a7f47b7
| 3,432
|
py
|
Python
|
examples/python/test_concat.py
|
SmartEconomyWorkshop/workshop
|
5961dcc8832f60b3a0407cb9a8361ba5485ac280
|
[
"MIT"
] | 79
|
2017-10-22T03:35:06.000Z
|
2021-12-02T10:28:06.000Z
|
examples/python/test_concat.py
|
SmartEconomyWorkshop/workshop
|
5961dcc8832f60b3a0407cb9a8361ba5485ac280
|
[
"MIT"
] | 122
|
2017-10-19T12:34:08.000Z
|
2020-08-20T12:38:17.000Z
|
examples/python/test_concat.py
|
SmartEconomyWorkshop/workshop
|
5961dcc8832f60b3a0407cb9a8361ba5485ac280
|
[
"MIT"
] | 76
|
2017-10-19T05:09:55.000Z
|
2020-12-08T12:03:59.000Z
|
from boa_test.tests.boa_test import BoaTest
from boa.compiler import Compiler
from neo.Prompt.Commands.BuildNRun import TestBuild
class TestContract(BoaTest):
def test_Concat1(self):
output = Compiler.instance().load('%s/boa_test/example/ConcatTest.py' % TestContract.dirname).default
out = output.write()
tx, results, total_ops, engine = TestBuild(out, [], self.GetWallet1(), '', '07')
self.assertEqual(len(results), 1)
self.assertEqual(results[0].GetString(), 'helloworld')
def test_Concat2(self):
output = Compiler.instance().load('%s/boa_test/example/ConcatTest2.py' % TestContract.dirname).default
out = output.write()
tx, results, total_ops, engine = TestBuild(out, ['concat', "['hello','world']"], self.GetWallet1(), '10', '07')
self.assertEqual(len(results), 1)
self.assertEqual(results[0].GetString(), 'helloworld')
tx, results, total_ops, engine = TestBuild(out, ['blah', "['hello','world']"], self.GetWallet1(), '10', '07')
self.assertEqual(len(results), 1)
self.assertEqual(results[0].GetBoolean(), False)
tx, results, total_ops, engine = TestBuild(out, ['concat', "['blah']"], self.GetWallet1(), '10', '07')
self.assertEqual(len(results), 1)
self.assertEqual(results[0].GetBoolean(), False)
tx, results, total_ops, engine = TestBuild(out, ['concat', "['hello','world','third']"], self.GetWallet1(), '10', '07')
self.assertEqual(len(results), 1)
self.assertEqual(results[0].GetString(), 'helloworld')
tx, results, total_ops, engine = TestBuild(out, ['concat', "['1','neo']"], self.GetWallet1(), '10', '07')
self.assertEqual(len(results), 1)
self.assertEqual(results[0].GetString(), '\x01neo')
tx, results, total_ops, engine = TestBuild(out, ['concat', "['','neo']"], self.GetWallet1(), '10', '07')
self.assertEqual(len(results), 1)
self.assertEqual(results[0].GetString(), 'neo')
# Testinvoke args need to be fixed
# tx, results, total_ops, engine = TestBuild(out, ['concat',"[bytearray(b'\x01\xa0\x04'),bytearray(b'\x04\x02\x04')]"], self.GetWallet1(), '10','07')
# self.assertEqual(len(results), 1)
# self.assertEqual(results[0].GetByteArray(), bytearray(b'\x01\xa0\x04\x04\x02\x04'))
def test_Take(self):
output = Compiler.instance().load('%s/boa_test/example/TakeTest.py' % TestContract.dirname).default
out = output.write()
tx, results, total_ops, engine = TestBuild(out, [2], self.GetWallet1(), '02', '07')
self.assertEqual(len(results), 1)
self.assertEqual(results[0].GetString(), 'he')
tx, results, total_ops, engine = TestBuild(out, [0], self.GetWallet1(), '02', '07')
self.assertEqual(len(results), 1)
self.assertEqual(results[0].GetString(), '')
tx, results, total_ops, engine = TestBuild(out, [12], self.GetWallet1(), '02', '07')
self.assertEqual(len(results), 1)
self.assertEqual(results[0].GetString(), 'helloworld12')
tx, results, total_ops, engine = TestBuild(out, [40], self.GetWallet1(), '02', '07')
self.assertEqual(len(results), 1)
self.assertEqual(results[0].GetString(), 'helloworld1234567')
tx, results, total_ops, engine = TestBuild(out, [-2], self.GetWallet1(), '02', '07')
self.assertEqual(len(results), 0)
| 48.338028
| 156
| 0.630536
| 407
| 3,432
| 5.265356
| 0.181818
| 0.174988
| 0.084928
| 0.103126
| 0.839944
| 0.822212
| 0.822212
| 0.773215
| 0.732151
| 0.669155
| 0
| 0.047042
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| 157
| 49.028571
| 0.716679
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| 0
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| 0.479167
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| false
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| 0
|
0
| 7
|
5c0946952b71037bb1f97ce65af023f47196a25c
| 35,474
|
py
|
Python
|
files/runs_small/cores_2/ocean.cont/power.py
|
ST4NSB/sniper-simulator-predictions
|
1f0fe2a10fda55fceea053464ea202bfe2effafc
|
[
"MIT"
] | 1
|
2021-03-08T03:39:23.000Z
|
2021-03-08T03:39:23.000Z
|
files/runs_small/cores_2/ocean.cont/power.py
|
ST4NSB/sniper-simulator-predictions
|
1f0fe2a10fda55fceea053464ea202bfe2effafc
|
[
"MIT"
] | null | null | null |
files/runs_small/cores_2/ocean.cont/power.py
|
ST4NSB/sniper-simulator-predictions
|
1f0fe2a10fda55fceea053464ea202bfe2effafc
|
[
"MIT"
] | null | null | null |
power = {'BUSES': {'Area': 1.08752,
'Bus/Area': 1.08752,
'Bus/Gate Leakage': 0.00541455,
'Bus/Peak Dynamic': 0.0,
'Bus/Runtime Dynamic': 0.0,
'Bus/Subthreshold Leakage': 0.0564625,
'Bus/Subthreshold Leakage with power gating': 0.0211734,
'Gate Leakage': 0.00541455,
'Peak Dynamic': 0.0,
'Runtime Dynamic': 0.0,
'Subthreshold Leakage': 0.0564625,
'Subthreshold Leakage with power gating': 0.0211734},
'Core': [{'Area': 32.6082,
'Execution Unit/Area': 8.2042,
'Execution Unit/Complex ALUs/Area': 0.235435,
'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646,
'Execution Unit/Complex ALUs/Peak Dynamic': 0.0955308,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.277723,
'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111,
'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163,
'Execution Unit/Floating Point Units/Area': 4.6585,
'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156,
'Execution Unit/Floating Point Units/Peak Dynamic': 0.852868,
'Execution Unit/Floating Point Units/Runtime Dynamic': 0.679223,
'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829,
'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061,
'Execution Unit/Gate Leakage': 0.122718,
'Execution Unit/Instruction Scheduler/Area': 2.17927,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.328073,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.00115349,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.20978,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.337297,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.017004,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00962066,
'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00730101,
'Execution Unit/Instruction Scheduler/Instruction Window/Area': 1.00996,
'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00529112,
'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 2.07911,
'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.584077,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0800117,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0455351,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 4.84781,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.841232,
'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.000856399,
'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.55892,
'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.377493,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.0178624,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00897339,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 1.29887,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.114878,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.0641291,
'Execution Unit/Integer ALUs/Area': 0.47087,
'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291,
'Execution Unit/Integer ALUs/Peak Dynamic': 0.202647,
'Execution Unit/Integer ALUs/Runtime Dynamic': 0.319665,
'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222,
'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833,
'Execution Unit/Peak Dynamic': 6.59121,
'Execution Unit/Register Files/Area': 0.570804,
'Execution Unit/Register Files/Floating Point RF/Area': 0.208131,
'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788,
'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.161125,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.0122273,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.110483,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.0904283,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675,
'Execution Unit/Register Files/Peak Dynamic': 0.271608,
'Execution Unit/Register Files/Runtime Dynamic': 0.102656,
'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387,
'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643,
'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0442632,
'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00607074,
'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.293143,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.835198,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.0920413,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0345155,
'Execution Unit/Runtime Dynamic': 3.51333,
'Execution Unit/Subthreshold Leakage': 1.83518,
'Execution Unit/Subthreshold Leakage with power gating': 0.709678,
'Gate Leakage': 0.372997,
'Instruction Fetch Unit/Area': 5.86007,
'Instruction Fetch Unit/Branch Predictor/Area': 0.138516,
'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.000781008,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.000781008,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.000675581,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000258971,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05,
'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00129901,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00353661,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0076553,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0590479,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0869311,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 5.52956,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.213019,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.295257,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 8.02054,
'Instruction Fetch Unit/Runtime Dynamic': 0.606399,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932587,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.408542,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.152811,
'L2/Runtime Dynamic': 0.0364529,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80969,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 3.72689,
'Load Store Unit/Data Cache/Runtime Dynamic': 1.24846,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0351387,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.08055,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.0805499,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 4.10881,
'Load Store Unit/Runtime Dynamic': 1.72626,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.198623,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.397245,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591622,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283406,
'Memory Management Unit/Area': 0.434579,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.0704918,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.0727723,
'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485,
'Memory Management Unit/Gate Leakage': 0.00813591,
'Memory Management Unit/Itlb/Area': 0.301552,
'Memory Management Unit/Itlb/Gate Leakage': 0.00393464,
'Memory Management Unit/Itlb/Peak Dynamic': 0.343808,
'Memory Management Unit/Itlb/Runtime Dynamic': 0.0347031,
'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.624173,
'Memory Management Unit/Runtime Dynamic': 0.107475,
'Memory Management Unit/Subthreshold Leakage': 0.0769113,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0399462,
'Peak Dynamic': 24.0592,
'Renaming Unit/Area': 0.369768,
'Renaming Unit/FP Front End RAT/Area': 0.168486,
'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00489731,
'Renaming Unit/FP Front End RAT/Peak Dynamic': 3.33511,
'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.562129,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0437281,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.024925,
'Renaming Unit/Free List/Area': 0.0414755,
'Renaming Unit/Free List/Gate Leakage': 4.15911e-05,
'Renaming Unit/Free List/Peak Dynamic': 0.0401324,
'Renaming Unit/Free List/Runtime Dynamic': 0.0240118,
'Renaming Unit/Free List/Subthreshold Leakage': 0.000670426,
'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000377987,
'Renaming Unit/Gate Leakage': 0.00863632,
'Renaming Unit/Int Front End RAT/Area': 0.114751,
'Renaming Unit/Int Front End RAT/Gate Leakage': 0.00038343,
'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.86945,
'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.163866,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00611897,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00348781,
'Renaming Unit/Peak Dynamic': 4.56169,
'Renaming Unit/Runtime Dynamic': 0.750006,
'Renaming Unit/Subthreshold Leakage': 0.070483,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0362779,
'Runtime Dynamic': 6.73993,
'Subthreshold Leakage': 6.21877,
'Subthreshold Leakage with power gating': 2.58311},
{'Area': 32.6082,
'Execution Unit/Area': 8.2042,
'Execution Unit/Complex ALUs/Area': 0.235435,
'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646,
'Execution Unit/Complex ALUs/Peak Dynamic': 0.0955837,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.277764,
'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111,
'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163,
'Execution Unit/Floating Point Units/Area': 4.6585,
'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156,
'Execution Unit/Floating Point Units/Peak Dynamic': 0.853885,
'Execution Unit/Floating Point Units/Runtime Dynamic': 0.679669,
'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829,
'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061,
'Execution Unit/Gate Leakage': 0.122718,
'Execution Unit/Instruction Scheduler/Area': 2.17927,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.328073,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.00115349,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.20978,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.337724,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.017004,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00962066,
'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00730101,
'Execution Unit/Instruction Scheduler/Instruction Window/Area': 1.00996,
'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00529112,
'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 2.07911,
'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.584816,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0800117,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0455351,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 4.84781,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.841232,
'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.000856399,
'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.55892,
'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.377927,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.0178624,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00897339,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 1.30047,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.114878,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.0641291,
'Execution Unit/Integer ALUs/Area': 0.47087,
'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291,
'Execution Unit/Integer ALUs/Peak Dynamic': 0.202914,
'Execution Unit/Integer ALUs/Runtime Dynamic': 0.319906,
'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222,
'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833,
'Execution Unit/Peak Dynamic': 6.59314,
'Execution Unit/Register Files/Area': 0.570804,
'Execution Unit/Register Files/Floating Point RF/Area': 0.208131,
'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788,
'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.161317,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.0122428,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.110585,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.0905428,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675,
'Execution Unit/Register Files/Peak Dynamic': 0.271902,
'Execution Unit/Register Files/Runtime Dynamic': 0.102786,
'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387,
'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643,
'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0442632,
'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00607074,
'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.293405,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.836102,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.0920413,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0345155,
'Execution Unit/Runtime Dynamic': 3.5167,
'Execution Unit/Subthreshold Leakage': 1.83518,
'Execution Unit/Subthreshold Leakage with power gating': 0.709678,
'Gate Leakage': 0.372997,
'Instruction Fetch Unit/Area': 5.86007,
'Instruction Fetch Unit/Branch Predictor/Area': 0.138516,
'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.000782126,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.000782126,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.000676533,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000259327,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05,
'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00130065,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00354144,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0076668,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0590479,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0870411,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 5.53656,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.212864,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.295631,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 8.02789,
'Instruction Fetch Unit/Runtime Dynamic': 0.606744,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932587,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.408542,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.152816,
'L2/Runtime Dynamic': 0.036542,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80969,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 3.73104,
'Load Store Unit/Data Cache/Runtime Dynamic': 1.25059,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0351387,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.0806842,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.0806842,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 4.1136,
'Load Store Unit/Runtime Dynamic': 1.72918,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.198953,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.397907,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591622,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283406,
'Memory Management Unit/Area': 0.434579,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.0706092,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.0728902,
'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485,
'Memory Management Unit/Gate Leakage': 0.00813591,
'Memory Management Unit/Itlb/Area': 0.301552,
'Memory Management Unit/Itlb/Gate Leakage': 0.00393464,
'Memory Management Unit/Itlb/Peak Dynamic': 0.344243,
'Memory Management Unit/Itlb/Runtime Dynamic': 0.0346814,
'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.624811,
'Memory Management Unit/Runtime Dynamic': 0.107572,
'Memory Management Unit/Subthreshold Leakage': 0.0769113,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0399462,
'Peak Dynamic': 24.0739,
'Renaming Unit/Area': 0.369768,
'Renaming Unit/FP Front End RAT/Area': 0.168486,
'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00489731,
'Renaming Unit/FP Front End RAT/Peak Dynamic': 3.33511,
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'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.024925,
'Renaming Unit/Free List/Area': 0.0414755,
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'Renaming Unit/Gate Leakage': 0.00863632,
'Renaming Unit/Int Front End RAT/Area': 0.114751,
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'Renaming Unit/Subthreshold Leakage with power gating': 0.0362779,
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'Subthreshold Leakage with power gating': 2.58311}],
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'Runtime Dynamic': 3.72117540729286,
'Subthreshold Leakage': 4.252,
'Subthreshold Leakage with power gating': 4.252},
'L3': [{'Area': 61.9075,
'Gate Leakage': 0.0484137,
'Peak Dynamic': 0.569896,
'Runtime Dynamic': 0.377251,
'Subthreshold Leakage': 6.80085,
'Subthreshold Leakage with power gating': 3.32364}],
'Processor': {'Area': 128.211,
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'Peak Power': 68.7978,
'Runtime Dynamic': 13.8648,
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'Subthreshold Leakage with power gating': 8.76959,
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'Total Cores/Gate Leakage': 0.745993,
'Total Cores/Peak Dynamic': 48.1332,
'Total Cores/Runtime Dynamic': 13.4876,
'Total Cores/Subthreshold Leakage': 12.4375,
'Total Cores/Subthreshold Leakage with power gating': 5.16621,
'Total L3s/Area': 61.9075,
'Total L3s/Gate Leakage': 0.0484137,
'Total L3s/Peak Dynamic': 0.569896,
'Total L3s/Runtime Dynamic': 0.377251,
'Total L3s/Subthreshold Leakage': 6.80085,
'Total L3s/Subthreshold Leakage with power gating': 3.32364,
'Total Leakage': 20.0947,
'Total NoCs/Area': 1.08752,
'Total NoCs/Gate Leakage': 0.00541455,
'Total NoCs/Peak Dynamic': 0.0,
'Total NoCs/Runtime Dynamic': 0.0,
'Total NoCs/Subthreshold Leakage': 0.0564625,
'Total NoCs/Subthreshold Leakage with power gating': 0.0211734}}
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0
| 7
|
308daa2e30e1d8b40f5ee398ffef986b33d17ed9
| 55,355
|
py
|
Python
|
hotkeynet/projects/warmane/hkn_script/mode/raid.py
|
Mario-Kart-Felix/hotkeynet-project
|
81b218e86ef85d69ea0e639937f765c7218c2686
|
[
"MIT"
] | 2
|
2021-07-25T11:26:23.000Z
|
2022-02-02T20:03:20.000Z
|
hotkeynet/projects/warmane/hkn_script/mode/raid.py
|
Mario-Kart-Felix/hotkeynet-project
|
81b218e86ef85d69ea0e639937f765c7218c2686
|
[
"MIT"
] | null | null | null |
hotkeynet/projects/warmane/hkn_script/mode/raid.py
|
Mario-Kart-Felix/hotkeynet-project
|
81b218e86ef85d69ea0e639937f765c7218c2686
|
[
"MIT"
] | 2
|
2021-03-04T07:20:30.000Z
|
2021-07-25T11:26:25.000Z
|
# -*- coding: utf-8 -*-
from ...config import Config, ActiveCharacterConfig
from ...constant.characters import CharacterFactory
from ...constant.talent_category_association import T, TC
from .....script import Script, Hotkey, SendLabel, Key
from ... import act
from ..... import keyname, utils
from .._config_and_script import script
class Mode:
@classmethod
def set_mode_solo_raid_10p_batlefury_luxiaofeng_core_team(cls, config: Config):
config.game_client_config.use_1600_900_resolution()
config.game_client_config.use_n_windows(10)
config.game_client_config.use_credential_list_luxiaofeng()
config.toggle_window_config.key1_to_25_window_index = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
config.toggle_window_config.round_robin_window_index = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
config.active_character_config = ActiveCharacterConfig(
active_characters=[
CharacterFactory.make_char_fatmulti1_batlefury_pve_protect_pala().evolve(is_tank1=True,
is_dr_pala1=True),
CharacterFactory.make_char_fatmulti2_quentin_pve_elemental_shaman().evolve(),
CharacterFactory.make_char_fatmulti3_opiitou_pve_balance_druid().evolve(),
CharacterFactory.make_char_fatmulti4_swagsonic_pve_arcane_mage().evolve(),
CharacterFactory.make_char_fatmulti5_kangliu_pve_shadow_priest().evolve(),
CharacterFactory.make_char_fitsheep_kindhearted_pve_demonology_warlock().evolve(),
CharacterFactory.make_char_fatmulti6_kapacuk_pve_marksman_hunter().evolve(),
CharacterFactory.make_char_fatmulti8_bunnysisters_pve_resto_druid().evolve(),
CharacterFactory.make_char_fatmulti9_glowyy_pve_holy_pala().evolve(is_dr_pala2=True),
CharacterFactory.make_char_fatmulti10_luxiaofeng_pve_blood_tank_dk().evolve(is_tank2=True),
]
)
config.active_character_config.set_leader1_window_index(1)
config.active_character_config.set_leader2_window_index(10)
def post_hook(config: Config, script: Script):
print("set_mode_solo_raid_10p_batlefury_flydps_core_team")
config.post_hook = post_hook
@classmethod
def post_hook_set_mode_solo_raid_10p_batlefury_flydps_core_team(cls, config: Config, script: Script):
pass
@classmethod
def set_mode_solo_raid_22p_batlefury_flydps_4_druid_4_priest_4_shaman_core_team(cls, config: Config):
# config.game_client_config.use_1600_900_resolution()
config.game_client_config.use_1176_664_resolution()
config.game_client_config.use_n_windows(22)
config.game_client_config.use_credential_list_default()
config.toggle_window_config.key1_to_25_window_index = list(range(1, 22 + 1))
config.toggle_window_config.round_robin_window_index = list(range(1, 22 + 1))
config.active_character_config = ActiveCharacterConfig(
active_characters=[
CharacterFactory.make_char_fatmulti1_batlefury_pve_protect_pala().evolve(is_tank1=True,
is_dr_pala1=True),
CharacterFactory.make_char_fatmulti2_quentin_pve_elemental_shaman().evolve(),
CharacterFactory.make_char_fatmulti3_opiitou_pve_balance_druid().evolve(),
CharacterFactory.make_char_fatmulti4_swagsonic_pve_arcane_mage().evolve(),
CharacterFactory.make_char_fatmulti5_kangliu_pve_shadow_priest().evolve(),
CharacterFactory.make_char_fitsheep_kindhearted_pve_demonology_warlock().evolve(),
CharacterFactory.make_char_fatmulti6_kapacuk_pve_marksman_hunter().evolve(),
CharacterFactory.make_char_fatmulti8_bunnysisters_pve_resto_druid().evolve(),
# CharacterFactory.make_char_fatmulti9_glowyy_pve_holy_pala().evolve(is_dr_pala2=True),
CharacterFactory.make_char_fatmulti9_glowyy_pve_protect_pala().evolve(is_dr_pala2=True),
# CharacterFactory.make_char_monkey130_flydps_pve_blood_tank_dk().evolve(is_tank2=True),
# CharacterFactory.make_char_makun7551_laoshou_retri_paladin().evolve(),
CharacterFactory.make_char_makun7551_ganjj_pve_blood_tank_dk().evolve(),
CharacterFactory.make_char_fatmulti11_litgugua_pve_balance_druid(),
CharacterFactory.make_char_fatmulti12_litgugub_pve_balance_druid(),
CharacterFactory.make_char_fatmulti13_litguguc_pve_balance_druid(),
CharacterFactory.make_char_fatmulti14_litgugud_pvp_resto_druid(),
CharacterFactory.make_char_fatmulti19_lgmsi_pve_shadow_priest(),
CharacterFactory.make_char_fatmulti20_lgmsj_pve_shadow_priest(),
CharacterFactory.make_char_fatmulti21_lgmsk_pve_shadow_priest(),
CharacterFactory.make_char_fatmulti22_lgmsl_pve_shadow_priest(),
# CharacterFactory.make_char_fatmulti23_lgsmm_pve_elemental_shaman(),
# CharacterFactory.make_char_fatmulti24_lgsmn_pve_elemental_shaman(),
# CharacterFactory.make_char_fatmulti25_lgsmo_pve_elemental_shaman(),
# CharacterFactory.make_char_fatmulti26_lgsmp_pve_elemental_shaman(),
CharacterFactory.make_char_fatmulti23_lgsmm_pve_resto_shaman(),
CharacterFactory.make_char_fatmulti24_lgsmn_pve_resto_shaman(),
CharacterFactory.make_char_fatmulti25_lgsmo_pve_resto_shaman(),
CharacterFactory.make_char_fatmulti26_lgsmp_pve_resto_shaman(),
]
)
config.active_character_config.set_leader1_window_index(1)
config.active_character_config.set_leader2_window_index(10)
@classmethod
def set_mode_solo_raid_10p_naxx10_team2_batlefury_litgugu_abcd(cls, config: Config):
config.game_client_config.use_1600_900_resolution()
# config.game_client_config.use_1176_664_resolution()
config.game_client_config.use_n_windows(22)
config.game_client_config.use_credential_list_default()
config.toggle_window_config.key1_to_25_window_index = list(range(1, 22 + 1))
config.toggle_window_config.round_robin_window_index = list(range(1, 22 + 1))
config.active_character_config = ActiveCharacterConfig(
active_characters=[
CharacterFactory.make_char_fatmulti1_batlefury_pve_protect_pala().evolve(is_tank1=True,
is_dr_pala1=True),
CharacterFactory.make_char_fatmulti2_litgoatssb_pve_demo_warlock().evolve(),
CharacterFactory.make_char_fatmulti3_opiitou_pve_balance_druid().evolve(),
CharacterFactory.make_char_fatmulti4_swagsonic_pve_arcane_mage().evolve(),
CharacterFactory.make_char_fatmulti5_litgoatsse_pve_demo_warlock().evolve(),
CharacterFactory.make_char_fatmulti11_litgugua_pve_balance_druid().evolve(),
CharacterFactory.make_char_fatmulti12_litgugub_pve_balance_druid().evolve(),
CharacterFactory.make_char_fatmulti13_litguguc_pve_balance_druid().evolve(),
CharacterFactory.make_char_fatmulti14_litgugud_pvp_resto_druid().evolve(is_tank2=True),
CharacterFactory.make_char_makun7551_ganjj_pve_blood_tank_dk(),
]
)
config.active_character_config.set_leader1_window_index(1)
config.active_character_config.set_leader2_window_index(10)
@classmethod
def set_mode_solo_raid_10p_naxx10_team3_glowyy_litgoatss_abcd(cls, config: Config):
config.game_client_config.use_1600_900_resolution()
# config.game_client_config.use_1176_664_resolution()
config.game_client_config.use_n_windows(22)
config.game_client_config.use_credential_list_default()
config.toggle_window_config.key1_to_25_window_index = list(range(1, 22 + 1))
config.active_character_config = ActiveCharacterConfig(
active_characters=[
CharacterFactory.make_char_fatmulti1_litgoatssa_pve_demo_warlock().evolve(),
CharacterFactory.make_char_fatmulti2_quentin_pve_elemental_shaman().evolve(),
CharacterFactory.make_char_fatmulti3_litgoatssc_pve_demo_warlock().evolve(),
CharacterFactory.make_char_fatmulti4_litgoatssd_pve_demo_warlock().evolve(),
CharacterFactory.make_char_fatmulti5_kangliu_pve_shadow_priest().evolve(),
CharacterFactory.make_char_fitsheep_kindhearted_pve_demonology_warlock().evolve(),
CharacterFactory.make_char_fatmulti6_kapacuk_pve_marksman_hunter().evolve(),
CharacterFactory.make_char_fatmulti8_bunnysisters_pve_resto_druid().evolve(),
CharacterFactory.make_char_fatmulti9_glowyy_pve_protect_pala().evolve(is_tank1=True,
is_dr_pala1=True),
CharacterFactory.make_char_makun7551_laoshou_retri_paladin().evolve(),
]
)
config.toggle_window_config.round_robin_window_index = list(range(1, 22 + 1))
config.active_character_config.set_leader1_window_index(9)
config.active_character_config.set_leader2_window_index(9)
@classmethod
def set_mode_solo_raid_10p_naxx10_team4_lgms(cls, config: Config):
config.game_client_config.use_1600_900_resolution()
# config.game_client_config.use_1176_664_resolution()
config.game_client_config.use_n_windows(22)
config.game_client_config.use_credential_list_default()
config.toggle_window_config.key1_to_25_window_index = list(range(1, 22 + 1))
config.active_character_config = ActiveCharacterConfig(
active_characters=[
CharacterFactory.make_char_monkey130_flydps_pve_blood_tank_dk().evolve(),
CharacterFactory.make_char_fatmulti19_lgmsi_pve_shadow_priest().evolve(),
CharacterFactory.make_char_fatmulti20_lgmsj_pve_shadow_priest().evolve(),
CharacterFactory.make_char_fatmulti21_lgmsk_pve_shadow_priest().evolve(),
CharacterFactory.make_char_fatmulti22_lgmsl_pve_shadow_priest().evolve(),
]
)
config.toggle_window_config.round_robin_window_index = list(range(1, 22 + 1))
config.active_character_config.set_leader1_window_index(10)
config.active_character_config.set_leader2_window_index(10)
@classmethod
def set_mode_solo_raid_10p_naxx10_team5_lgsm(cls, config: Config):
config.game_client_config.use_1600_900_resolution()
# config.game_client_config.use_1176_664_resolution()
config.game_client_config.use_n_windows(22)
config.game_client_config.use_credential_list_default()
config.toggle_window_config.key1_to_25_window_index = list(range(1, 22 + 1))
config.active_character_config = ActiveCharacterConfig(
active_characters=[
CharacterFactory.make_char_monkey130_flydps_pve_blood_tank_dk().evolve(),
CharacterFactory.make_char_fatmulti23_lgsmm_pve_elemental_shaman().evolve(),
CharacterFactory.make_char_fatmulti24_lgsmn_pve_elemental_shaman().evolve(),
CharacterFactory.make_char_fatmulti25_lgsmo_pve_elemental_shaman().evolve(),
CharacterFactory.make_char_fatmulti26_lgsmp_pve_elemental_shaman().evolve(),
]
)
config.toggle_window_config.round_robin_window_index = list(range(1, 22 + 1))
config.active_character_config.set_leader1_window_index(10)
config.active_character_config.set_leader2_window_index(10)
@classmethod
def set_mode_solo_raid_10p_naxx10_team6_temp(cls, config: Config):
config.game_client_config.use_1600_900_resolution()
# config.game_client_config.use_1176_664_resolution()
config.game_client_config.use_n_windows(22)
config.game_client_config.use_credential_list_default()
config.toggle_window_config.key1_to_25_window_index = list(range(1, 22 + 1))
config.active_character_config = ActiveCharacterConfig(
active_characters=[
# 1 - 5
# CharacterFactory.make_char_fatmulti1_batlefury_pve_protect_pala().evolve(),
# CharacterFactory.make_char_fatmulti1_batlefury_pve_retri_pala().evolve(),
# CharacterFactory.make_char_fatmulti1_litgoatssa_pve_demo_warlock().evolve(),
CharacterFactory.make_char_fatmulti1_litgoatdka_pve_blood_dk().evolve(),
# CharacterFactory.make_char_fatmulti1_litgoatdka_pvp_frost_dk().evolve(),
#
# CharacterFactory.make_char_fatmulti2_quentin_pve_elemental_shaman().evolve(),
# CharacterFactory.make_char_fatmulti2_quentin_pve_resto_shaman().evolve(),
# CharacterFactory.make_char_fatmulti2_litgoatssb_pve_demo_warlock().evolve(),
CharacterFactory.make_char_fatmulti2_litgoatdkb_pve_unholy_dk().evolve(),
# CharacterFactory.make_char_fatmulti2_litgoatdkb_pvp_frost_dk().evolve(),
#
# CharacterFactory.make_char_fatmulti3_opiitou_pve_balance_druid().evolve(),
# CharacterFactory.make_char_fatmulti3_opiitou_pve_bear_druid().evolve(),
# CharacterFactory.make_char_fatmulti3_litgoatssc_pve_demo_warlock().evolve(),
CharacterFactory.make_char_fatmulti3_litgoatdkc_pve_unholy_dk().evolve(),
# CharacterFactory.make_char_fatmulti3_litgoatdkc_pvp_frost_dk().evolve(),
#
# CharacterFactory.make_char_fatmulti4_swagsonic_pve_arcane_mage().evolve(),
# CharacterFactory.make_char_fatmulti4_swagsonic_pve_fire_mage().evolve(),
# CharacterFactory.make_char_fatmulti4_litgoatssd_pve_demo_warlock().evolve(),
CharacterFactory.make_char_fatmulti4_litgoatdkd_pve_unholy_dk().evolve(),
# CharacterFactory.make_char_fatmulti4_litgoatdkd_pvp_frost_dk().evolve(),
#
# CharacterFactory.make_char_fatmulti5_kangliu_pve_shadow_priest().evolve(),
# CharacterFactory.make_char_fatmulti5_kangliu_pve_disco_priest().evolve(),
# CharacterFactory.make_char_fatmulti5_litgoatsse_pve_demo_warlock().evolve(),
CharacterFactory.make_char_fatmulti5_litgoatdke_pve_unholy_dk().evolve(),
# CharacterFactory.make_char_fatmulti5_litgoatdke_pvp_frost_dk().evolve(),
# 6 - 10
# CharacterFactory.make_char_fitsheep_kindhearted_pve_demonology_warlock().evolve(),
# CharacterFactory.make_char_fitsheep_kindhearted_pvp_destruction_warlock().evolve(),
# CharacterFactory.make_char_fitsheep_bordercollie_pve_shadow_priest().evolve(),
# CharacterFactory.make_char_fitsheep_bordercollie_pve_disco_priest().evolve(),
#
# CharacterFactory.make_char_fatmulti6_kapacuk_pve_marksman_hunter().evolve(),
# CharacterFactory.make_char_fatmulti6_kapacuk_pvp_beast_hunter().evolve(),
#
# CharacterFactory.make_char_fatmulti8_bunnysisters_pve_resto_druid().evolve(),
# CharacterFactory.make_char_fatmulti8_bunnysisters_pve_balance_druid().evolve(),
#
# CharacterFactory.make_char_fatmulti9_glowyy_pve_holy_pala().evolve(),
# CharacterFactory.make_char_fatmulti9_glowyy_pve_protect_pala().evolve(),
#
CharacterFactory.make_char_monkey130_flydps_pve_blood_tank_dk().evolve(),
#
# CharacterFactory.make_char_makun7551_ganjj_pve_blood_tank_dk().evolve(),
# CharacterFactory.make_char_makun7551_laoshou_retri_paladin().evolve(),
# 11 - 14
# CharacterFactory.make_char_fatmulti11_litgugua_pve_balance_druid().evolve(),
# CharacterFactory.make_char_fatmulti11_litgugua_pvp_resto_druid().evolve(),
#
# CharacterFactory.make_char_fatmulti12_litgugub_pve_balance_druid().evolve(),
# CharacterFactory.make_char_fatmulti12_litgugub_pvp_resto_druid().evolve(),
#
# CharacterFactory.make_char_fatmulti13_litguguc_pve_balance_druid().evolve(),
# CharacterFactory.make_char_fatmulti13_litguguc_pvp_resto_druid().evolve(),
#
# CharacterFactory.make_char_fatmulti14_litgugud_pve_balance_druid().evolve(),
# CharacterFactory.make_char_fatmulti14_litgugud_pvp_resto_druid().evolve(),
# 15 - 18
# CharacterFactory.make_char_fatmulti19_lgmsi_pve_shadow_priest().evolve(),
# CharacterFactory.make_char_fatmulti20_lgmsj_pve_shadow_priest().evolve(),
# CharacterFactory.make_char_fatmulti21_lgmsk_pve_shadow_priest().evolve(),
# CharacterFactory.make_char_fatmulti22_lgmsl_pve_shadow_priest().evolve(),
# 19 - 22
# CharacterFactory.make_char_fatmulti23_lgsmm_pve_elemental_shaman().evolve(),
# CharacterFactory.make_char_fatmulti24_lgsmn_pve_elemental_shaman().evolve(),
# CharacterFactory.make_char_fatmulti25_lgsmo_pve_elemental_shaman().evolve(),
# CharacterFactory.make_char_fatmulti26_lgsmp_pve_elemental_shaman().evolve(),
]
)
config.toggle_window_config.round_robin_window_index = list(range(1, 22 + 1))
config.active_character_config.set_leader1_window_index(10)
config.active_character_config.set_leader2_window_index(10)
@classmethod
def set_mode_solo_raid_25p_naxx25_full_run(cls, config: Config):
# config.game_client_config.use_1600_900_resolution()
config.game_client_config.use_1176_664_resolution()
config.game_client_config.use_n_windows(22)
config.game_client_config.use_credential_list_default()
config.toggle_window_config.key1_to_25_window_index = list(range(1, 22 + 1))
config.active_character_config = ActiveCharacterConfig(
active_characters=[
# 1 - 5
CharacterFactory.make_char_fatmulti1_batlefury_pve_protect_pala().evolve(is_tank1=True),
# CharacterFactory.make_char_fatmulti1_batlefury_pve_retri_pala().evolve(),
# CharacterFactory.make_char_fatmulti1_litgoatssa_pve_demo_warlock().evolve(),
# CharacterFactory.make_char_fatmulti1_litgoatdka_pve_blood_dk().evolve(),
# CharacterFactory.make_char_fatmulti1_litgoatdka_pvp_frost_dk().evolve(),
#
CharacterFactory.make_char_fatmulti2_quentin_pve_elemental_shaman().evolve(),
# CharacterFactory.make_char_fatmulti2_quentin_pve_resto_shaman().evolve(),
# CharacterFactory.make_char_fatmulti2_litgoatssb_pve_demo_warlock().evolve(),
# CharacterFactory.make_char_fatmulti2_litgoatdkb_pve_unholy_dk().evolve(),
# CharacterFactory.make_char_fatmulti2_litgoatdkb_pvp_frost_dk().evolve(),
#
CharacterFactory.make_char_fatmulti3_opiitou_pve_balance_druid().evolve(),
# CharacterFactory.make_char_fatmulti3_opiitou_pve_bear_druid().evolve(),
# CharacterFactory.make_char_fatmulti3_litgoatssc_pve_demo_warlock().evolve(),
# CharacterFactory.make_char_fatmulti3_litgoatdkc_pve_unholy_dk().evolve(),
# CharacterFactory.make_char_fatmulti3_litgoatdkc_pvp_frost_dk().evolve(),
#
CharacterFactory.make_char_fatmulti4_swagsonic_pve_arcane_mage().evolve(),
# CharacterFactory.make_char_fatmulti4_swagsonic_pve_fire_mage().evolve(),
# CharacterFactory.make_char_fatmulti4_litgoatssd_pve_demo_warlock().evolve(),
# CharacterFactory.make_char_fatmulti4_litgoatdkd_pve_unholy_dk().evolve(),
# CharacterFactory.make_char_fatmulti4_litgoatdkd_pvp_frost_dk().evolve(),
#
CharacterFactory.make_char_fatmulti5_kangliu_pve_shadow_priest().evolve(),
# CharacterFactory.make_char_fatmulti5_kangliu_pve_disco_priest().evolve(),
# CharacterFactory.make_char_fatmulti5_litgoatsse_pve_demo_warlock().evolve(),
# CharacterFactory.make_char_fatmulti5_litgoatdke_pve_unholy_dk().evolve(),
# CharacterFactory.make_char_fatmulti5_litgoatdke_pvp_frost_dk().evolve(),
# 6 - 10
CharacterFactory.make_char_fitsheep_kindhearted_pve_demonology_warlock().evolve(),
# CharacterFactory.make_char_fitsheep_kindhearted_pvp_destruction_warlock().evolve(),
# CharacterFactory.make_char_fitsheep_bordercollie_pve_shadow_priest().evolve(),
# CharacterFactory.make_char_fitsheep_bordercollie_pve_disco_priest().evolve(),
#
CharacterFactory.make_char_fatmulti6_kapacuk_pve_marksman_hunter().evolve(),
# CharacterFactory.make_char_fatmulti6_kapacuk_pvp_beast_hunter().evolve(),
#
CharacterFactory.make_char_fatmulti8_bunnysisters_pve_resto_druid().evolve(),
# CharacterFactory.make_char_fatmulti8_bunnysisters_pve_balance_druid().evolve(),
#
CharacterFactory.make_char_fatmulti9_glowyy_pve_holy_pala().evolve(),
# CharacterFactory.make_char_fatmulti9_glowyy_pve_protect_pala().evolve(),
#
# CharacterFactory.make_char_monkey130_flydps_pve_blood_tank_dk().evolve(),
CharacterFactory.make_char_fatmulti10_luxiaofeng_pve_blood_tank_dk().evolve(is_tank2=True),
#
# CharacterFactory.make_char_makun7551_ganjj_pve_blood_tank_dk().evolve(),
# CharacterFactory.make_char_makun7551_laoshou_retri_paladin().evolve(),
# 11 - 14
# CharacterFactory.make_char_fatmulti11_litgugua_pve_balance_druid().evolve(),
# CharacterFactory.make_char_fatmulti11_litgugua_pvp_resto_druid().evolve(),
#
# CharacterFactory.make_char_fatmulti12_litgugub_pve_balance_druid().evolve(),
# CharacterFactory.make_char_fatmulti12_litgugub_pvp_resto_druid().evolve(),
#
# CharacterFactory.make_char_fatmulti13_litguguc_pve_balance_druid().evolve(),
# CharacterFactory.make_char_fatmulti13_litguguc_pvp_resto_druid().evolve(),
#
# CharacterFactory.make_char_fatmulti14_litgugud_pve_balance_druid().evolve(),
# CharacterFactory.make_char_fatmulti14_litgugud_pvp_resto_druid().evolve(),
CharacterFactory.make_char_fatmulti15_litgugue_pvp_balance_druid().evolve(),
CharacterFactory.make_char_fatmulti16_litguguf_pvp_balance_druid().evolve(),
CharacterFactory.make_char_fatmulti17_litgugug_pvp_balance_druid().evolve(),
CharacterFactory.make_char_fatmulti18_litguguh_pvp_resto_druid().evolve(), # Healer
# 15 - 18
CharacterFactory.make_char_fatmulti19_lgmsi_pve_shadow_priest().evolve(),
CharacterFactory.make_char_fatmulti20_lgmsj_pve_shadow_priest().evolve(),
CharacterFactory.make_char_fatmulti21_lgmsk_pve_shadow_priest().evolve(),
CharacterFactory.make_char_fatmulti22_lgmsl_pve_shadow_priest().evolve(),
# 19 - 22
CharacterFactory.make_char_fatmulti23_lgsmm_pve_elemental_shaman().evolve(),
CharacterFactory.make_char_fatmulti24_lgsmn_pve_elemental_shaman().evolve(),
# CharacterFactory.make_char_fatmulti25_lgsmo_pve_elemental_shaman().evolve(),
CharacterFactory.make_char_fatmulti25_lgsmo_pve_resto_shaman().evolve(),
# CharacterFactory.make_char_fatmulti26_lgsmp_pve_elemental_shaman().evolve(),
CharacterFactory.make_char_fatmulti26_lgsmp_pve_resto_shaman().evolve(),
]
)
config.toggle_window_config.round_robin_window_index = list(range(1, 22 + 1))
config.active_character_config.set_leader1_window_index(1)
config.active_character_config.set_leader2_window_index(10)
#--- UDR
@classmethod
def set_mode_solo_raid_10p_udr10_team1_kindhearted_litgoatdk_lgsm(cls, config: Config):
config.game_client_config.use_1600_900_resolution()
# config.game_client_config.use_1176_664_resolution()
config.game_client_config.use_n_windows(22)
config.game_client_config.use_credential_list_default()
config.toggle_window_config.key1_to_25_window_index = list(range(1, 22 + 1))
config.active_character_config = ActiveCharacterConfig(
active_characters=[
CharacterFactory.make_char_fatmulti1_litgoatdka_pvp_frost_dk().evolve(),
CharacterFactory.make_char_fatmulti3_litgoatdkc_pvp_frost_dk().evolve(),
CharacterFactory.make_char_fatmulti2_litgoatdkb_pvp_frost_dk().evolve(),
CharacterFactory.make_char_fatmulti4_litgoatdkd_pvp_frost_dk().evolve(),
CharacterFactory.make_char_fatmulti5_litgoatdke_pvp_frost_dk().evolve(),
CharacterFactory.make_char_fitsheep_kindhearted_pve_demonology_warlock().evolve(),
CharacterFactory.make_char_fatmulti23_lgsmm_pve_elemental_shaman().evolve(),
CharacterFactory.make_char_fatmulti24_lgsmn_pve_elemental_shaman().evolve(),
CharacterFactory.make_char_fatmulti25_lgsmo_pve_elemental_shaman().evolve(),
CharacterFactory.make_char_fatmulti26_lgsmp_pve_elemental_shaman().evolve(),
]
)
config.toggle_window_config.round_robin_window_index = list(range(1, 22 + 1))
config.active_character_config.set_leader1_window_index(6)
config.active_character_config.set_leader2_window_index(6)
@classmethod
def set_mode_solo_raid_25p_udr25_team2_litgoatss_litgugua_lgms(cls, config: Config):
config.game_client_config.use_1600_900_resolution()
# config.game_client_config.use_1176_664_resolution()
config.game_client_config.use_n_windows(22)
config.game_client_config.use_credential_list_default()
config.toggle_window_config.key1_to_25_window_index = list(range(1, 22 + 1))
config.active_character_config = ActiveCharacterConfig(
active_characters=[
CharacterFactory.make_char_fatmulti1_litgoatssa_pve_demo_warlock().evolve(),
CharacterFactory.make_char_fatmulti2_litgoatssb_pve_demo_warlock().evolve(),
CharacterFactory.make_char_fatmulti3_litgoatssc_pve_demo_warlock().evolve(),
CharacterFactory.make_char_fatmulti4_litgoatssd_pve_demo_warlock().evolve(),
CharacterFactory.make_char_fatmulti5_litgoatsse_pve_demo_warlock().evolve(),
CharacterFactory.make_char_fatmulti6_kapacuk_pve_marksman_hunter().evolve(),
CharacterFactory.make_char_fatmulti8_bunnysisters_pve_resto_druid().evolve(),
CharacterFactory.make_char_fatmulti9_glowyy_pve_protect_pala().evolve(),
CharacterFactory.make_char_makun7551_laoshou_retri_paladin().evolve(),
CharacterFactory.make_char_fatmulti11_litgugua_pve_balance_druid().evolve(),
CharacterFactory.make_char_fatmulti12_litgugub_pve_balance_druid().evolve(),
CharacterFactory.make_char_fatmulti13_litguguc_pve_balance_druid().evolve(),
CharacterFactory.make_char_fatmulti14_litgugud_pve_balance_druid().evolve(),
CharacterFactory.make_char_fatmulti19_lgmsi_pve_shadow_priest().evolve(),
CharacterFactory.make_char_fatmulti20_lgmsj_pve_shadow_priest().evolve(),
CharacterFactory.make_char_fatmulti21_lgmsk_pve_shadow_priest().evolve(),
CharacterFactory.make_char_fatmulti22_lgmsl_pve_shadow_priest().evolve(),
]
)
config.toggle_window_config.round_robin_window_index = list(range(1, 22 + 1))
config.active_character_config.set_leader1_window_index(7)
config.active_character_config.set_leader2_window_index(7)
#--- VOA
@classmethod
def set_mode_solo_raid_10p_voa10_team1_batlefury_team(cls, config: Config):
config.game_client_config.use_1600_900_resolution()
config.game_client_config.use_n_windows(22)
config.game_client_config.use_credential_list_default()
config.toggle_window_config.key1_to_25_window_index = list(range(1, 22 + 1))
config.toggle_window_config.round_robin_window_index = list(range(1, 22 + 1))
config.active_character_config = ActiveCharacterConfig(
active_characters=[
CharacterFactory.make_char_fatmulti1_batlefury_pve_protect_pala().evolve(is_tank1=True),
CharacterFactory.make_char_fatmulti2_litgoatssb_pve_demo_warlock().evolve(),
CharacterFactory.make_char_fatmulti3_opiitou_pve_balance_druid().evolve(),
CharacterFactory.make_char_fatmulti4_swagsonic_pve_arcane_mage().evolve(),
CharacterFactory.make_char_fatmulti5_litgoatsse_pve_demo_warlock().evolve(),
CharacterFactory.make_char_fitsheep_bordercollie_pve_shadow_priest().evolve(),
CharacterFactory.make_char_fatmulti6_kapacuk_pve_marksman_hunter().evolve(),
CharacterFactory.make_char_makun7551_laoshou_retri_paladin().evolve(is_tank2=True),
CharacterFactory.make_char_fatmulti13_litguguc_pve_balance_druid().evolve(),
CharacterFactory.make_char_fatmulti14_litgugud_pvp_resto_druid().evolve(),
]
)
config.active_character_config.set_leader1_window_index(1)
config.active_character_config.set_leader2_window_index(10)
@classmethod
def set_mode_solo_raid_10p_voa10_team2_glowyy_team(cls, config: Config):
config.game_client_config.use_1600_900_resolution()
config.game_client_config.use_n_windows(22)
config.game_client_config.use_credential_list_default()
config.toggle_window_config.key1_to_25_window_index = list(range(1, 22 + 1))
config.active_character_config = ActiveCharacterConfig(
active_characters=[
CharacterFactory.make_char_fatmulti1_litgoatssa_pve_demo_warlock().evolve(),
CharacterFactory.make_char_fatmulti2_quentin_pve_elemental_shaman().evolve(),
CharacterFactory.make_char_fatmulti3_litgoatssc_pve_demo_warlock().evolve(),
CharacterFactory.make_char_fatmulti4_litgoatssd_pve_demo_warlock().evolve(),
CharacterFactory.make_char_fatmulti5_kangliu_pve_shadow_priest().evolve(),
CharacterFactory.make_char_fatmulti8_bunnysisters_pve_resto_druid().evolve(),
CharacterFactory.make_char_fatmulti9_glowyy_pve_protect_pala().evolve(is_tank1=True),
CharacterFactory.make_char_makun7551_ganjj_pve_blood_tank_dk().evolve(is_tank2=True),
CharacterFactory.make_char_fatmulti11_litgugua_pve_balance_druid().evolve(),
CharacterFactory.make_char_fatmulti12_litgugub_pve_balance_druid().evolve(),
]
)
config.toggle_window_config.round_robin_window_index = list(range(1, 22 + 1))
config.active_character_config.set_leader1_window_index(9)
config.active_character_config.set_leader2_window_index(10)
@classmethod
def set_mode_solo_raid_10p_voa10_team4_luxiaofeng_2_priest_2_shaman_team(cls, config: Config):
config.game_client_config.use_1600_900_resolution()
config.game_client_config.use_n_windows(22)
config.game_client_config.use_credential_list_luxiaofeng()
config.toggle_window_config.key1_to_25_window_index = list(range(1, 22 + 1))
config.active_character_config = ActiveCharacterConfig(
active_characters=[
CharacterFactory.make_char_fatmulti2_litgoatdkb_pve_unholy_dk().evolve(),
CharacterFactory.make_char_fatmulti3_litgoatdkc_pve_unholy_dk().evolve(),
CharacterFactory.make_char_fitsheep_kindhearted_pve_demonology_warlock(),
CharacterFactory.make_char_fatmulti10_luxiaofeng_pve_blood_tank_dk().evolve(is_tank1=True),
# CharacterFactory.make_char_fatmulti15_litgugue_pvp_balance_druid().evolve(),
# CharacterFactory.make_char_fatmulti16_litguguf_pvp_balance_druid().evolve(),
CharacterFactory.make_char_fatmulti19_lgmsi_pve_shadow_priest().evolve(),
CharacterFactory.make_char_fatmulti20_lgmsj_pve_shadow_priest().evolve(),
# CharacterFactory.make_char_fatmulti23_lgsmm_pve_elemental_shaman().evolve(),
CharacterFactory.make_char_fatmulti23_lgsmm_pve_resto_shaman().evolve(),
# CharacterFactory.make_char_fatmulti24_lgsmn_pve_elemental_shaman().evolve(),
CharacterFactory.make_char_fatmulti24_lgsmn_pve_resto_shaman().evolve(),
]
)
config.toggle_window_config.round_robin_window_index = list(range(1, 22 + 1))
config.active_character_config.set_leader1_window_index(10)
config.active_character_config.set_leader2_window_index(10)
@classmethod
def set_mode_solo_raid_10p_voa10_team5_flydps_2_priest_2_shaman_team(cls, config: Config):
config.game_client_config.use_1600_900_resolution()
config.game_client_config.use_n_windows(22)
config.game_client_config.use_credential_list_flydps()
config.toggle_window_config.key1_to_25_window_index = list(range(1, 22 + 1))
config.active_character_config = ActiveCharacterConfig(
active_characters=[
CharacterFactory.make_char_monkey130_flydps_pve_blood_tank_dk().evolve(is_tank1=True),
CharacterFactory.make_char_fatmulti1_litgoatdka_pve_blood_dk().evolve(is_tank2=True),
CharacterFactory.make_char_fatmulti4_litgoatdkd_pve_unholy_dk().evolve(),
CharacterFactory.make_char_fatmulti5_litgoatdke_pve_unholy_dk().evolve(),
CharacterFactory.make_char_fatmulti21_lgmsk_pve_shadow_priest().evolve(),
CharacterFactory.make_char_fatmulti22_lgmsl_pve_shadow_priest().evolve(),
CharacterFactory.make_char_fatmulti25_lgsmo_pve_elemental_shaman().evolve(),
# CharacterFactory.make_char_fatmulti25_lgsmo_pve_resto_shaman().evolve(),
# CharacterFactory.make_char_fatmulti26_lgsmp_pve_elemental_shaman().evolve(),
CharacterFactory.make_char_fatmulti26_lgsmp_pve_resto_shaman().evolve(),
]
)
config.toggle_window_config.round_robin_window_index = list(range(1, 22 + 1))
config.active_character_config.set_leader1_window_index(10)
config.active_character_config.set_leader2_window_index(1)
# VOA 10 four team.
# batlefury team = 10 p
# litgoatss x 5, litgoatdk x 5 = 10p
# litgugu x 8, lgms x 4, lgsm x 4 = 16 p
# bordercollie, laoshou, ganjj, flydps = 4p
@classmethod
def set_mode_solo_raid_10p_voa10_team5(cls, config: Config):
config.game_client_config.use_1600_900_resolution()
config.game_client_config.use_n_windows(22)
config.game_client_config.use_credential_list_default()
config.toggle_window_config.key1_to_25_window_index = list(range(1, 22 + 1))
config.toggle_window_config.round_robin_window_index = list(range(1, 22 + 1))
config.active_character_config = ActiveCharacterConfig(
active_characters=[
CharacterFactory.make_char_fatmulti1_batlefury_pve_protect_pala().evolve(is_tank1=True),
CharacterFactory.make_char_fatmulti2_litgoatssb_pve_demo_warlock().evolve(),
CharacterFactory.make_char_fatmulti3_litgoatdkc_pve_unholy_dk().evolve(),
CharacterFactory.make_char_fatmulti4_swagsonic_pve_arcane_mage().evolve(),
CharacterFactory.make_char_fitsheep_bordercollie_pve_shadow_priest().evolve(),
CharacterFactory.make_char_makun7551_ganjj_pve_unholy_dps_dk().evolve(),
CharacterFactory.make_char_fatmulti11_litgugua_pvp_resto_druid().evolve(),
CharacterFactory.make_char_fatmulti16_litguguf_pvp_balance_druid().evolve(),
CharacterFactory.make_char_fatmulti19_lgmsi_pve_shadow_priest().evolve(),
CharacterFactory.make_char_fatmulti23_lgsmm_pve_elemental_shaman().evolve(),
]
)
config.active_character_config.set_leader1_window_index(1)
config.active_character_config.set_leader2_window_index(10)
@classmethod
def set_mode_solo_raid_10p_voa10_team6(cls, config: Config):
config.game_client_config.use_1600_900_resolution()
config.game_client_config.use_n_windows(22)
config.game_client_config.use_credential_list_default()
config.toggle_window_config.key1_to_25_window_index = list(range(1, 22 + 1))
config.active_character_config = ActiveCharacterConfig(
active_characters=[
CharacterFactory.make_char_fatmulti9_glowyy_pve_protect_pala().evolve(is_tank1=True),
CharacterFactory.make_char_fatmulti1_litgoatssa_pve_demo_warlock().evolve(),
CharacterFactory.make_char_fatmulti3_litgoatssc_pve_demo_warlock().evolve(),
CharacterFactory.make_char_fatmulti2_litgoatdkb_pve_unholy_dk().evolve(),
CharacterFactory.make_char_fatmulti5_kangliu_pve_shadow_priest().evolve(),
CharacterFactory.make_char_fatmulti8_bunnysisters_pve_balance_druid().evolve(),
CharacterFactory.make_char_fatmulti13_litguguc_pvp_resto_druid().evolve(),
CharacterFactory.make_char_fatmulti18_litguguh_pvp_balance_druid().evolve(),
CharacterFactory.make_char_fatmulti20_lgmsj_pve_shadow_priest().evolve(),
CharacterFactory.make_char_fatmulti24_lgsmn_pve_elemental_shaman().evolve(),
]
)
config.toggle_window_config.round_robin_window_index = list(range(1, 22 + 1))
config.active_character_config.set_leader1_window_index(9)
config.active_character_config.set_leader2_window_index(9)
@classmethod
def set_mode_solo_raid_10p_voa10_team7(cls, config: Config):
config.game_client_config.use_1600_900_resolution()
config.game_client_config.use_n_windows(22)
config.game_client_config.use_credential_list_luxiaofeng()
config.toggle_window_config.key1_to_25_window_index = list(range(1, 22 + 1))
config.active_character_config = ActiveCharacterConfig(
active_characters=[
CharacterFactory.make_char_fatmulti10_luxiaofeng_pve_blood_tank_dk().evolve(is_tank1=True),
CharacterFactory.make_char_makun7551_laoshou_protect_paladin_at_window_9().evolve(is_tank2=True),
CharacterFactory.make_char_fatmulti4_litgoatssd_pve_demo_warlock().evolve(),
CharacterFactory.make_char_fatmulti5_litgoatdke_pve_unholy_dk().evolve(),
CharacterFactory.make_char_fatmulti2_quentin_pve_elemental_shaman().evolve(),
CharacterFactory.make_char_fitsheep_kindhearted_pve_demonology_warlock().evolve(),
CharacterFactory.make_char_fatmulti15_litgugue_pvp_balance_druid().evolve(),
CharacterFactory.make_char_fatmulti12_litgugub_pvp_resto_druid().evolve(),
CharacterFactory.make_char_fatmulti21_lgmsk_pve_shadow_priest().evolve(),
CharacterFactory.make_char_fatmulti25_lgsmo_pve_elemental_shaman().evolve(),
]
)
config.toggle_window_config.round_robin_window_index = list(range(1, 22 + 1))
config.active_character_config.set_leader1_window_index(10)
config.active_character_config.set_leader2_window_index(9)
@classmethod
def set_mode_solo_raid_10p_voa10_team8(cls, config: Config):
config.game_client_config.use_1600_900_resolution()
config.game_client_config.use_n_windows(22)
config.game_client_config.use_credential_list_flydps()
config.toggle_window_config.key1_to_25_window_index = list(range(1, 22 + 1))
config.active_character_config = ActiveCharacterConfig(
active_characters=[
CharacterFactory.make_char_monkey130_flydps_pve_blood_tank_dk().evolve(is_tank1=True),
CharacterFactory.make_char_fatmulti1_litgoatdka_pve_blood_dk().evolve(is_tank2=True),
CharacterFactory.make_char_fatmulti3_opiitou_pve_balance_druid().evolve(),
CharacterFactory.make_char_fatmulti5_litgoatsse_pve_demo_warlock().evolve(),
CharacterFactory.make_char_fatmulti4_litgoatdkd_pve_unholy_dk().evolve(),
CharacterFactory.make_char_fatmulti6_kapacuk_pve_marksman_hunter().evolve(),
CharacterFactory.make_char_fatmulti17_litgugug_pvp_balance_druid().evolve(),
CharacterFactory.make_char_fatmulti14_litgugud_pvp_resto_druid().evolve(),
CharacterFactory.make_char_fatmulti22_lgmsl_pve_shadow_priest().evolve(),
CharacterFactory.make_char_fatmulti26_lgsmp_pve_elemental_shaman().evolve(),
]
)
config.toggle_window_config.round_robin_window_index = list(range(1, 22 + 1))
config.active_character_config.set_leader1_window_index(10)
config.active_character_config.set_leader2_window_index(1)
@classmethod
def set_mode_solo_raid_22p_voa25_batlefury_2_priest_2_shaman_team1(cls, config: Config):
# config.game_client_config.use_1600_900_resolution()
config.game_client_config.use_1176_664_resolution()
config.game_client_config.use_n_windows(22)
config.game_client_config.use_credential_list_default()
config.toggle_window_config.key1_to_25_window_index = list(range(1, 22 + 1))
config.toggle_window_config.round_robin_window_index = list(range(1, 22 + 1))
config.active_character_config = ActiveCharacterConfig(
active_characters=[
# 1 - 5
CharacterFactory.make_char_fatmulti1_batlefury_pve_protect_pala().evolve(is_tank2=True),
CharacterFactory.make_char_fatmulti2_quentin_pve_elemental_shaman().evolve(),
CharacterFactory.make_char_fatmulti3_opiitou_pve_balance_druid().evolve(),
CharacterFactory.make_char_fatmulti4_litgoatdkd_pve_unholy_dk().evolve(),
CharacterFactory.make_char_fatmulti5_litgoatdke_pve_unholy_dk().evolve(),
# 6 - 10
CharacterFactory.make_char_fitsheep_bordercollie_pve_disco_priest().evolve(), # Healer
CharacterFactory.make_char_fatmulti9_glowyy_pve_holy_pala().evolve(), # Healer
CharacterFactory.make_char_fatmulti10_luxiaofeng_pve_blood_tank_dk().evolve(is_tank1=True),
# 11 - 14
CharacterFactory.make_char_fatmulti15_litgugue_pvp_balance_druid().evolve(),
CharacterFactory.make_char_fatmulti16_litguguf_pvp_balance_druid().evolve(),
CharacterFactory.make_char_fatmulti17_litgugug_pvp_balance_druid().evolve(),
CharacterFactory.make_char_fatmulti18_litguguh_pvp_resto_druid().evolve(), # Healer
# 15 - 18
CharacterFactory.make_char_fatmulti19_lgmsi_pve_shadow_priest().evolve(),
CharacterFactory.make_char_fatmulti20_lgmsj_pve_shadow_priest().evolve(),
# 19 - 22
CharacterFactory.make_char_fatmulti23_lgsmm_pve_elemental_shaman().evolve(),
CharacterFactory.make_char_fatmulti24_lgsmn_pve_elemental_shaman().evolve(),
CharacterFactory.make_char_makun7551_ganjj_pve_unholy_dps_dk_at_window_22().evolve(),
]
)
config.active_character_config.set_leader1_window_index(1)
config.active_character_config.set_leader2_window_index(10)
@classmethod
def set_mode_solo_raid_22p_voa25_litgoatdk_2_priest_2_shaman_team2(cls, config: Config):
# config.game_client_config.use_1600_900_resolution()
config.game_client_config.use_1176_664_resolution()
config.game_client_config.use_n_windows(22)
config.game_client_config.use_credential_list_default()
config.toggle_window_config.key1_to_25_window_index = list(range(1, 22 + 1))
config.toggle_window_config.round_robin_window_index = list(range(1, 22 + 1))
config.active_character_config = ActiveCharacterConfig(
active_characters=[
# 1 - 5
CharacterFactory.make_char_fatmulti1_litgoatdka_pve_blood_dk().evolve(is_tank2=True),
CharacterFactory.make_char_fatmulti3_litgoatdkc_pve_unholy_dk().evolve(),
CharacterFactory.make_char_fatmulti2_litgoatdkb_pve_unholy_dk().evolve(),
CharacterFactory.make_char_fatmulti4_swagsonic_pve_arcane_mage().evolve(),
CharacterFactory.make_char_fatmulti5_kangliu_pve_shadow_priest().evolve(),
# 6 - 10
CharacterFactory.make_char_fitsheep_kindhearted_pve_demonology_warlock().evolve(),
CharacterFactory.make_char_fatmulti6_kapacuk_pve_marksman_hunter().evolve(),
CharacterFactory.make_char_fatmulti8_bunnysisters_pve_resto_druid().evolve(), # Healer
CharacterFactory.make_char_monkey130_flydps_pve_blood_tank_dk().evolve(is_tank1=True),
# 11 - 14
CharacterFactory.make_char_fatmulti11_litgugua_pve_balance_druid().evolve(),
CharacterFactory.make_char_fatmulti12_litgugub_pve_balance_druid().evolve(),
# CharacterFactory.make_char_fatmulti11_litgugua_pvp_resto_druid().evolve(),
# CharacterFactory.make_char_fatmulti12_litgugub_pvp_resto_druid().evolve(),
CharacterFactory.make_char_fatmulti13_litguguc_pvp_resto_druid().evolve(), # Healer
CharacterFactory.make_char_fatmulti14_litgugud_pve_balance_druid().evolve(),
# 15 - 18
CharacterFactory.make_char_fatmulti21_lgmsk_pve_shadow_priest().evolve(),
CharacterFactory.make_char_fatmulti22_lgmsl_pve_shadow_priest().evolve(),
# 19 - 22
CharacterFactory.make_char_makun7551_laoshou_retri_paladin_at_window_19().evolve(),
CharacterFactory.make_char_fatmulti25_lgsmo_pve_elemental_shaman().evolve(),
CharacterFactory.make_char_fatmulti26_lgsmp_pve_elemental_shaman().evolve(),
]
)
config.active_character_config.set_leader1_window_index(1)
config.active_character_config.set_leader2_window_index(10)
@classmethod
def set_mode_solo_raid_22p_voa25_team3(cls, config: Config):
config.game_client_config.use_1600_900_resolution()
# config.game_client_config.use_1176_664_resolution()
config.game_client_config.use_n_windows(22)
config.game_client_config.use_credential_list_default()
config.toggle_window_config.key1_to_25_window_index = list(range(1, 22 + 1))
config.toggle_window_config.round_robin_window_index = list(range(1, 22 + 1))
config.active_character_config = ActiveCharacterConfig(
active_characters=[
# 1 - 5
CharacterFactory.make_char_fatmulti1_litgoatssa_pve_demo_warlock().evolve(),
CharacterFactory.make_char_fatmulti2_litgoatssb_pve_demo_warlock().evolve(),
CharacterFactory.make_char_fatmulti3_litgoatssc_pve_demo_warlock().evolve(),
CharacterFactory.make_char_fatmulti4_litgoatssd_pve_demo_warlock().evolve(),
CharacterFactory.make_char_fatmulti5_litgoatsse_pve_demo_warlock().evolve(),
CharacterFactory.make_char_freiliheng_stophealing_pve_blood_tank_dk().evolve(is_tank1=True),
]
)
config.active_character_config.set_leader2_window_index(10)
#--- ICC
@classmethod
def set_mode_solo_raid_10p_icc10_lich_king_team(cls, config: Config):
"""
:param config:
:return:
"""
config.game_client_config.use_1600_900_resolution()
# config.game_client_config.use_1176_664_resolution()
config.game_client_config.use_n_windows(22)
config.game_client_config.use_credential_list_default()
config.toggle_window_config.key1_to_25_window_index = list(range(1, 22 + 1))
config.active_character_config = ActiveCharacterConfig(
active_characters=[
# 1 - 5
CharacterFactory.make_char_fatmulti1_batlefury_pve_protect_pala().evolve(),
CharacterFactory.make_char_fatmulti2_quentin_pve_elemental_shaman().evolve(),
# CharacterFactory.make_char_fatmulti2_quentin_pve_resto_shaman().evolve(),
CharacterFactory.make_char_fatmulti3_opiitou_pve_balance_druid().evolve(),
CharacterFactory.make_char_fatmulti4_swagsonic_pve_arcane_mage().evolve(),
CharacterFactory.make_char_fatmulti5_kangliu_pve_shadow_priest().evolve(),
# 6 - 10
CharacterFactory.make_char_fitsheep_kindhearted_pve_demonology_warlock().evolve(),
CharacterFactory.make_char_fatmulti6_kapacuk_pve_marksman_hunter().evolve(),
CharacterFactory.make_char_fatmulti8_bunnysisters_pve_resto_druid().evolve(),
CharacterFactory.make_char_fatmulti9_glowyy_pve_holy_pala().evolve(),
CharacterFactory.make_char_monkey130_flydps_pve_blood_tank_dk().evolve(),
]
)
config.toggle_window_config.round_robin_window_index = list(range(1, 22 + 1))
config.active_character_config.set_leader1_window_index(1)
config.active_character_config.set_leader2_window_index(10)
@classmethod
def set_mode_solo_raid_10p_onyxia(cls, config: Config):
"""
:param config:
:return:
"""
config.game_client_config.use_1600_900_resolution()
config.game_client_config.use_n_windows(22)
config.game_client_config.use_credential_list_default()
config.toggle_window_config.key1_to_25_window_index = list(range(1, 22 + 1))
config.active_character_config = ActiveCharacterConfig(
active_characters=[
# 1 - 5
CharacterFactory.make_char_fatmulti1_batlefury_pve_protect_pala().evolve(leader2_window_index=10),
CharacterFactory.make_char_fatmulti2_quentin_pve_elemental_shaman().evolve(leader1_window_index=10, leader2_window_index=10),
CharacterFactory.make_char_fatmulti3_opiitou_pve_balance_druid().evolve(leader1_window_index=10, leader2_window_index=10),
CharacterFactory.make_char_fatmulti4_swagsonic_pve_arcane_mage().evolve(leader1_window_index=10, leader2_window_index=10),
CharacterFactory.make_char_fatmulti5_kangliu_pve_shadow_priest().evolve(leader1_window_index=10, leader2_window_index=10),
# 6 - 10
CharacterFactory.make_char_fitsheep_kindhearted_pve_demonology_warlock().evolve(leader1_window_index=10, leader2_window_index=10),
CharacterFactory.make_char_fatmulti6_kapacuk_pve_marksman_hunter().evolve(leader1_window_index=10, leader2_window_index=10),
CharacterFactory.make_char_fatmulti8_bunnysisters_pve_resto_druid().evolve(leader1_window_index=10, leader2_window_index=10),
CharacterFactory.make_char_fatmulti9_glowyy_pve_holy_pala().evolve(leader1_window_index=1, leader2_window_index=10),
CharacterFactory.make_char_fatmulti10_luxiaofeng_pve_blood_tank_dk().evolve(),
]
)
config.toggle_window_config.round_robin_window_index = list(range(1, 22 + 1))
from .. import hk_g03_1_to_12
from .. import hk_g07_skills
send_label = hk_g03_1_to_12.hk_1.get_send_label_by_name(T.paladin_pve_holy.name)
send_label.actions = [
act.Target.TARGET_FOCUS,
Key(name=keyname.KEY_1),
]
send_label = hk_g03_1_to_12.hk_2.get_send_label_by_name(T.paladin_pve_holy.name)
send_label.actions = [
act.Target.TARGET_FOCUS,
Key(name=keyname.KEY_2),
]
send_label = hk_g03_1_to_12.hk_0_short_term_buff.get_send_label_by_name(TC.paladin_healer.name)
send_label.actions = [
act.Target.TARGET_W10_LUXIAOFENG,
act.Paladin.HOLY_SPEC_KEY_0_BEACON_OF_LIGHT,
]
hk_c = Hotkey(
name="C",
key=keyname.SCROLOCK_ON(keyname.C),
actions=[
SendLabel(
name=TC.priest.name,
to=config.lbs_by_tc(tc=TC.priest),
actions=[
act.Target.TARGET_W10_LUXIAOFENG,
act.Priest.ALL_SPEC_FEAR_WARD,
]
),
],
script=script,
)
hk_v = Hotkey(
name="V",
key=keyname.SCROLOCK_ON(keyname.V),
actions=[
SendLabel(
name=TC.paladin_protect.name,
to=config.lbs_by_tc(tc=TC.paladin_protect),
actions=[
act.Paladin.ALL_SPEC_DIVINE_PROTECTION,
]
),
],
script=script,
)
hk_b = Hotkey(
name="B",
key=keyname.SCROLOCK_ON(keyname.B),
actions=[
SendLabel(
name=TC.paladin_protect.name,
to=config.lbs_by_tc(tc=TC.paladin_protect),
actions=[
act.Paladin.ALL_SPEC_DIVINE_SACRIFICE,
]
),
SendLabel(
name=TC.paladin_non_protect.name,
to=config.lbs_by_tc(tc=TC.paladin_non_protect),
actions=[
act.Paladin.ALL_SPEC_AURA_MASTERY,
]
),
],
script=script,
)
| 57.842215
| 146
| 0.70579
| 5,987
| 55,355
| 5.944881
| 0.044931
| 0.200607
| 0.240728
| 0.220836
| 0.966959
| 0.963138
| 0.961817
| 0.95159
| 0.917341
| 0.896156
| 0
| 0.035631
| 0.217686
| 55,355
| 956
| 147
| 57.90272
| 0.78626
| 0.160871
| 0
| 0.72126
| 0
| 0
| 0.001125
| 0.00106
| 0
| 0
| 0
| 0
| 0
| 1
| 0.03937
| false
| 0.001575
| 0.014173
| 0
| 0.055118
| 0.001575
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 10
|
eb960309622657a4555075159c9849c4bd223e79
| 21,118
|
py
|
Python
|
test/test_crypto.py
|
voisine/addressimo
|
0943a399796f518b5ccca1746e379ab1aed2997d
|
[
"BSD-3-Clause"
] | 2
|
2015-09-09T01:18:00.000Z
|
2021-10-31T04:29:25.000Z
|
test/test_crypto.py
|
voisine/addressimo
|
0943a399796f518b5ccca1746e379ab1aed2997d
|
[
"BSD-3-Clause"
] | null | null | null |
test/test_crypto.py
|
voisine/addressimo
|
0943a399796f518b5ccca1746e379ab1aed2997d
|
[
"BSD-3-Clause"
] | 1
|
2021-10-31T04:29:18.000Z
|
2021-10-31T04:29:18.000Z
|
__author__ = 'Matt David'
from mock import patch, Mock
from test import AddressimoTestCase
from addressimo.crypto import *
class TestDeriveBranch(AddressimoTestCase):
def setUp(self):
self.patcher1 = patch('addressimo.crypto.iptools')
self.patcher2 = patch('addressimo.crypto.request')
self.mockIpTools = self.patcher1.start()
self.mockRequest = self.patcher2.start()
def testGoRightAbove2147483648(self):
# Setup Test Case
self.mockIpTools.ipv4.ip2long.return_value = 3000000000
ret_val = derive_branch()
self.assertEqual(24064, ret_val)
self.assertEqual(1, self.mockIpTools.ipv4.ip2long.call_count)
self.assertEqual(self.mockRequest.remote_addr, self.mockIpTools.ipv4.ip2long.call_args[0][0])
def testGoRightBelow2147483648(self):
# Setup Test Case
self.mockIpTools.ipv4.ip2long.return_value = 1000000000
ret_val = derive_branch()
self.assertEqual(51712, ret_val)
self.assertEqual(1, self.mockIpTools.ipv4.ip2long.call_count)
self.assertEqual(self.mockRequest.remote_addr, self.mockIpTools.ipv4.ip2long.call_args[0][0])
class TestGenerateBIP32AddressFromExtendedPublicKey(AddressimoTestCase):
def setUp(self):
self.patcher1 = patch('addressimo.crypto.BIP32Node')
self.mockBIP32Node = self.patcher1.start()
def test_go_right(self):
ret_val = generate_bip32_address_from_extended_pubkey('xpub_extended_pubkey', 1231244, 3)
self.assertEqual(self.mockBIP32Node.from_wallet_key.return_value.subkey_for_path.return_value.address.return_value, ret_val)
self.assertEqual(1, self.mockBIP32Node.from_wallet_key.call_count)
self.assertEqual('xpub_extended_pubkey', self.mockBIP32Node.from_wallet_key.call_args[0][0])
self.assertEqual(1, self.mockBIP32Node.from_wallet_key.return_value.subkey_for_path.call_count)
self.assertEqual('1231244/3', self.mockBIP32Node.from_wallet_key.return_value.subkey_for_path.call_args[0][0])
self.assertEqual(1, self.mockBIP32Node.from_wallet_key.return_value.subkey_for_path.return_value.address.call_count)
class TestGetCerts(AddressimoTestCase):
def setUp(self):
self.patcher1 = patch('addressimo.crypto.ssl')
self.mockSsl = self.patcher1.start()
def test_go_right_single_cert(self):
data = '''
test-data
-----END CERTIFICATE-----
'''
ret_val = get_certs(data)
self.assertIn(self.mockSsl.PEM_cert_to_DER_cert.return_value, ret_val)
self.assertEqual(1, len(ret_val))
self.assertEqual(1, self.mockSsl.PEM_cert_to_DER_cert.call_count)
self.assertEqual(data.replace('\n','').strip(), self.mockSsl.PEM_cert_to_DER_cert.call_args[0][0])
def test_go_right_multiple_certs(self):
data = '''
test-data
-----END CERTIFICATE-----
test-data2
-----END CERTIFICATE-----
test-data3
-----END CERTIFICATE-----
'''
ret_val = get_certs(data)
self.assertIn(self.mockSsl.PEM_cert_to_DER_cert.return_value, ret_val)
self.assertEqual(3, len(ret_val))
self.assertEqual(3, self.mockSsl.PEM_cert_to_DER_cert.call_count)
self.assertEqual('test-data-----END CERTIFICATE-----', self.mockSsl.PEM_cert_to_DER_cert.call_args_list[0][0][0])
self.assertEqual('test-data2-----END CERTIFICATE-----', self.mockSsl.PEM_cert_to_DER_cert.call_args_list[1][0][0])
self.assertEqual('test-data3-----END CERTIFICATE-----', self.mockSsl.PEM_cert_to_DER_cert.call_args_list[2][0][0])
class GeneratePaymentRequest(AddressimoTestCase):
def setUp(self):
self.patcher1 = patch('addressimo.crypto.serialize_script')
self.patcher2 = patch('addressimo.crypto.b58check_to_hex')
self.patcher3 = patch('addressimo.crypto.PluginManager')
self.patcher4 = patch('addressimo.crypto.get_certs')
self.patcher5 = patch('addressimo.crypto.datetime', wraps=datetime, spec=datetime)
self.mockSerializeScript = self.patcher1.start()
self.mockB58CheckToHex = self.patcher2.start()
self.mockPluginManager = self.patcher3.start()
self.mockGetCerts = self.patcher4.start()
self.mockDatetime = self.patcher5.start()
self.mockSerializeScript.return_value = 'BFFBFFBFFBFF'
self.mockSigner = Mock()
self.mockSigner.sign.return_value = 'signature'
self.mockSigner.get_pki_type.return_value = 'pki_type'
self.mockGetCerts.return_value = ['cert1', 'cert2']
self.crypto_addr = '1abdcdefg123456789'
self.x509_cert = 'x509_cert'
self.mockDatetime.utcnow.return_value = datetime(2015, 6, 13, 9, 0, 0)
def test_go_right_defaults(self):
ret_val = generate_payment_request(self.crypto_addr, self.x509_cert, self.mockSigner)
self.assertIsNotNone(ret_val)
self.assertEqual(1, self.mockSerializeScript.call_count)
self.assertEqual([OP_DUP, OP_HASH160, self.mockB58CheckToHex.return_value, OP_EQUALVERIFY, OP_CHECKSIG], self.mockSerializeScript.call_args[0][0])
self.assertEqual(1, self.mockB58CheckToHex.call_count)
self.assertEqual(self.crypto_addr, self.mockB58CheckToHex.call_args[0][0])
self.assertEqual(1, self.mockPluginManager.get_plugin.call_count)
self.assertEqual('LOGGER', self.mockPluginManager.get_plugin.call_args[0][0])
self.assertEqual(1, self.mockGetCerts.call_count)
self.assertEqual(self.x509_cert, self.mockGetCerts.call_args[0][0])
self.assertEqual(2, self.mockDatetime.utcnow.call_count)
self.assertEqual(1, self.mockSigner.sign.call_count)
pr = PaymentRequest()
pr.ParseFromString(ret_val)
self.assertEqual(1, pr.payment_details_version)
self.assertEqual('\n\x05cert1\n\x05cert2', pr.pki_data)
self.assertEqual('pki_type', pr.pki_type)
self.assertEqual('signature', pr.signature)
pd = PaymentDetails()
pd.ParseFromString(pr.serialized_payment_details)
self.assertEqual(1434212100, pd.expires)
self.assertEqual('', pd.memo)
self.assertEqual('', pd.merchant_data)
self.assertEqual('main', pd.network)
self.assertEqual('', pd.payment_url)
self.assertEqual(1434211200, pd.time)
for output in pd.outputs:
self.assertEqual(0, output.amount)
self.assertEqual('\xbf\xfb\xff\xbf\xfb\xff', output.script)
def test_go_right_all_args(self):
ret_val = generate_payment_request(
self.crypto_addr,
self.x509_cert,
self.mockSigner,
amount=9999,
expires=datetime(2015,7,1),
memo='memo',
payment_url='https://payme.domain.com/path?query',
merchant_data='merchant_data'
)
self.assertIsNotNone(ret_val)
self.assertEqual(1, self.mockSerializeScript.call_count)
self.assertEqual([OP_DUP, OP_HASH160, self.mockB58CheckToHex.return_value, OP_EQUALVERIFY, OP_CHECKSIG], self.mockSerializeScript.call_args[0][0])
self.assertEqual(1, self.mockB58CheckToHex.call_count)
self.assertEqual(self.crypto_addr, self.mockB58CheckToHex.call_args[0][0])
self.assertEqual(1, self.mockPluginManager.get_plugin.call_count)
self.assertEqual('LOGGER', self.mockPluginManager.get_plugin.call_args[0][0])
self.assertEqual(1, self.mockGetCerts.call_count)
self.assertEqual(self.x509_cert, self.mockGetCerts.call_args[0][0])
self.assertEqual(1, self.mockDatetime.utcnow.call_count)
self.assertEqual(1, self.mockSigner.sign.call_count)
pr = PaymentRequest()
pr.ParseFromString(ret_val)
self.assertEqual(1, pr.payment_details_version)
self.assertEqual('\n\x05cert1\n\x05cert2', pr.pki_data)
self.assertEqual('pki_type', pr.pki_type)
self.assertEqual('signature', pr.signature)
pd = PaymentDetails()
pd.ParseFromString(pr.serialized_payment_details)
self.assertEqual(1435734000, pd.expires)
self.assertEqual('memo', pd.memo)
self.assertEqual('merchant_data', pd.merchant_data)
self.assertEqual('main', pd.network)
self.assertEqual('https://payme.domain.com/path?query', pd.payment_url)
self.assertEqual(1434211200, pd.time)
for output in pd.outputs:
self.assertEqual(999900000000, output.amount)
self.assertEqual('\xbf\xfb\xff\xbf\xfb\xff', output.script)
def test_no_signer(self):
ret_val = generate_payment_request(self.crypto_addr, self.x509_cert)
self.assertIsNotNone(ret_val)
self.assertEqual(1, self.mockSerializeScript.call_count)
self.assertEqual([OP_DUP, OP_HASH160, self.mockB58CheckToHex.return_value, OP_EQUALVERIFY, OP_CHECKSIG], self.mockSerializeScript.call_args[0][0])
self.assertEqual(1, self.mockB58CheckToHex.call_count)
self.assertEqual(self.crypto_addr, self.mockB58CheckToHex.call_args[0][0])
self.assertEqual(1, self.mockPluginManager.get_plugin.call_count)
self.assertEqual('LOGGER', self.mockPluginManager.get_plugin.call_args[0][0])
self.assertEqual(0, self.mockGetCerts.call_count)
self.assertEqual(2, self.mockDatetime.utcnow.call_count)
self.assertEqual(0, self.mockSigner.sign.call_count)
pr = PaymentRequest()
pr.ParseFromString(ret_val)
self.assertEqual(1, pr.payment_details_version)
self.assertEqual('', pr.pki_data)
self.assertEqual('none', pr.pki_type)
self.assertEqual('', pr.signature)
pd = PaymentDetails()
pd.ParseFromString(pr.serialized_payment_details)
self.assertEqual(1434212100, pd.expires)
self.assertEqual('', pd.memo)
self.assertEqual('', pd.merchant_data)
self.assertEqual('main', pd.network)
self.assertEqual('', pd.payment_url)
self.assertEqual(1434211200, pd.time)
for output in pd.outputs:
self.assertEqual(0, output.amount)
self.assertEqual('\xbf\xfb\xff\xbf\xfb\xff', output.script)
def test_go_right_non_P2KH_non_hex_addr(self):
ret_val = generate_payment_request('addr', self.x509_cert, self.mockSigner)
self.assertIsNotNone(ret_val)
self.assertEqual(0, self.mockSerializeScript.call_count)
self.assertEqual(0, self.mockB58CheckToHex.call_count)
self.assertEqual(1, self.mockPluginManager.get_plugin.call_count)
self.assertEqual('LOGGER', self.mockPluginManager.get_plugin.call_args[0][0])
self.assertEqual(1, self.mockGetCerts.call_count)
self.assertEqual(self.x509_cert, self.mockGetCerts.call_args[0][0])
self.assertEqual(2, self.mockDatetime.utcnow.call_count)
self.assertEqual(1, self.mockSigner.sign.call_count)
pr = PaymentRequest()
pr.ParseFromString(ret_val)
self.assertEqual(1, pr.payment_details_version)
self.assertEqual('\n\x05cert1\n\x05cert2', pr.pki_data)
self.assertEqual('pki_type', pr.pki_type)
self.assertEqual('signature', pr.signature)
pd = PaymentDetails()
pd.ParseFromString(pr.serialized_payment_details)
self.assertEqual(1434212100, pd.expires)
self.assertEqual('', pd.memo)
self.assertEqual('', pd.merchant_data)
self.assertEqual('main', pd.network)
self.assertEqual('', pd.payment_url)
self.assertEqual(1434211200, pd.time)
for output in pd.outputs:
self.assertEqual(0, output.amount)
self.assertEqual('addr', output.script)
def test_go_right_non_P2KH_hex_addr(self):
ret_val = generate_payment_request('abcf9975', self.x509_cert, self.mockSigner)
self.assertIsNotNone(ret_val)
self.assertEqual(0, self.mockSerializeScript.call_count)
self.assertEqual(0, self.mockB58CheckToHex.call_count)
self.assertEqual(1, self.mockPluginManager.get_plugin.call_count)
self.assertEqual('LOGGER', self.mockPluginManager.get_plugin.call_args[0][0])
self.assertEqual(1, self.mockGetCerts.call_count)
self.assertEqual(self.x509_cert, self.mockGetCerts.call_args[0][0])
self.assertEqual(2, self.mockDatetime.utcnow.call_count)
self.assertEqual(1, self.mockSigner.sign.call_count)
pr = PaymentRequest()
pr.ParseFromString(ret_val)
self.assertEqual(1, pr.payment_details_version)
self.assertEqual('\n\x05cert1\n\x05cert2', pr.pki_data)
self.assertEqual('pki_type', pr.pki_type)
self.assertEqual('signature', pr.signature)
pd = PaymentDetails()
pd.ParseFromString(pr.serialized_payment_details)
self.assertEqual(1434212100, pd.expires)
self.assertEqual('', pd.memo)
self.assertEqual('', pd.merchant_data)
self.assertEqual('main', pd.network)
self.assertEqual('', pd.payment_url)
self.assertEqual(1434211200, pd.time)
for output in pd.outputs:
self.assertEqual(0, output.amount)
self.assertEqual('\xab\xcf\x99u', output.script)
def test_expires_datetime(self):
ret_val = generate_payment_request(self.crypto_addr, self.x509_cert, self.mockSigner, expires=datetime(2015,7,1))
self.assertIsNotNone(ret_val)
self.assertEqual(1, self.mockSerializeScript.call_count)
self.assertEqual([OP_DUP, OP_HASH160, self.mockB58CheckToHex.return_value, OP_EQUALVERIFY, OP_CHECKSIG], self.mockSerializeScript.call_args[0][0])
self.assertEqual(1, self.mockB58CheckToHex.call_count)
self.assertEqual(self.crypto_addr, self.mockB58CheckToHex.call_args[0][0])
self.assertEqual(1, self.mockPluginManager.get_plugin.call_count)
self.assertEqual('LOGGER', self.mockPluginManager.get_plugin.call_args[0][0])
self.assertEqual(1, self.mockGetCerts.call_count)
self.assertEqual(self.x509_cert, self.mockGetCerts.call_args[0][0])
self.assertEqual(1, self.mockDatetime.utcnow.call_count)
self.assertEqual(1, self.mockSigner.sign.call_count)
pr = PaymentRequest()
pr.ParseFromString(ret_val)
self.assertEqual(1, pr.payment_details_version)
self.assertEqual('\n\x05cert1\n\x05cert2', pr.pki_data)
self.assertEqual('pki_type', pr.pki_type)
self.assertEqual('signature', pr.signature)
pd = PaymentDetails()
pd.ParseFromString(pr.serialized_payment_details)
self.assertEqual(1435734000, pd.expires)
self.assertEqual('', pd.memo)
self.assertEqual('', pd.merchant_data)
self.assertEqual('main', pd.network)
self.assertEqual('', pd.payment_url)
self.assertEqual(1434211200, pd.time)
for output in pd.outputs:
self.assertEqual(0, output.amount)
self.assertEqual('\xbf\xfb\xff\xbf\xfb\xff', output.script)
def test_expires_number(self):
ret_val = generate_payment_request(self.crypto_addr, self.x509_cert, self.mockSigner, expires=3600)
self.assertIsNotNone(ret_val)
self.assertEqual(1, self.mockSerializeScript.call_count)
self.assertEqual([OP_DUP, OP_HASH160, self.mockB58CheckToHex.return_value, OP_EQUALVERIFY, OP_CHECKSIG], self.mockSerializeScript.call_args[0][0])
self.assertEqual(1, self.mockB58CheckToHex.call_count)
self.assertEqual(self.crypto_addr, self.mockB58CheckToHex.call_args[0][0])
self.assertEqual(1, self.mockPluginManager.get_plugin.call_count)
self.assertEqual('LOGGER', self.mockPluginManager.get_plugin.call_args[0][0])
self.assertEqual(1, self.mockGetCerts.call_count)
self.assertEqual(self.x509_cert, self.mockGetCerts.call_args[0][0])
self.assertEqual(2, self.mockDatetime.utcnow.call_count)
self.assertEqual(1, self.mockSigner.sign.call_count)
pr = PaymentRequest()
pr.ParseFromString(ret_val)
self.assertEqual(1, pr.payment_details_version)
self.assertEqual('\n\x05cert1\n\x05cert2', pr.pki_data)
self.assertEqual('pki_type', pr.pki_type)
self.assertEqual('signature', pr.signature)
pd = PaymentDetails()
pd.ParseFromString(pr.serialized_payment_details)
self.assertEqual(1434214800, pd.expires)
self.assertEqual('', pd.memo)
self.assertEqual('', pd.merchant_data)
self.assertEqual('main', pd.network)
self.assertEqual('', pd.payment_url)
self.assertEqual(1434211200, pd.time)
for output in pd.outputs:
self.assertEqual(0, output.amount)
self.assertEqual('\xbf\xfb\xff\xbf\xfb\xff', output.script)
class TestGetUnusedPresignedPaymentRequest(AddressimoTestCase):
def setUp(self):
self.patcher1 = patch('addressimo.crypto.Redis')
self.patcher2 = patch('addressimo.crypto.get_addrs_from_paymentrequest')
self.patcher3 = patch('addressimo.crypto.PluginManager')
self.mockRedis = self.patcher1.start()
self.mockGetAddressFromPR = self.patcher2.start()
self.mockPluginManager = self.patcher3.start()
self.mockGetAddressFromPR.return_value = ['123456789']
self.id_obj = Mock()
self.id_obj.presigned_payment_requests = [
'PR1'.encode('hex'),
'PR2'.encode('hex')
]
self.mockRedis.from_url.return_value.get.return_value = False
def test_go_right_no_pr_used(self):
ret_val = get_unused_presigned_payment_request(self.id_obj)
self.assertEqual('PR1'.encode('hex'), ret_val)
self.assertEqual(1, self.mockRedis.from_url.call_count)
self.assertEqual(1, self.mockRedis.from_url.return_value.get.call_count)
self.assertEqual(1, self.mockGetAddressFromPR.call_count)
self.assertEqual(0, self.mockPluginManager.get_plugin.call_count)
self.assertEqual(0, self.id_obj.save.call_count)
def test_go_right_first_pr_used(self):
self.mockRedis.from_url.return_value.get.side_effect = [True, None]
ret_val = get_unused_presigned_payment_request(self.id_obj)
self.assertEqual('PR2'.encode('hex'), ret_val)
self.assertEqual(1, self.mockRedis.from_url.call_count)
self.assertEqual(2, self.mockRedis.from_url.return_value.get.call_count)
self.assertEqual(2, self.mockGetAddressFromPR.call_count)
self.assertEqual(1, self.mockPluginManager.get_plugin.call_count)
self.assertEqual('RESOLVER', self.mockPluginManager.get_plugin.call_args[0][0])
self.assertEqual('REDIS', self.mockPluginManager.get_plugin.call_args[0][1])
self.assertEqual(1, self.mockPluginManager.get_plugin.return_value.save.call_count)
self.assertEqual(self.id_obj, self.mockPluginManager.get_plugin.return_value.save.call_args[0][0])
self.assertNotIn('PR1'.encode('hex'), self.id_obj.presigned_payment_requests)
def test_go_right_all_pr_used(self):
self.mockRedis.from_url.return_value.get.side_effect = [True, True]
ret_val = get_unused_presigned_payment_request(self.id_obj)
self.assertIsNone(ret_val)
self.assertEqual(1, self.mockRedis.from_url.call_count)
self.assertEqual(2, self.mockRedis.from_url.return_value.get.call_count)
self.assertEqual(2, self.mockGetAddressFromPR.call_count)
self.assertEqual(1, self.mockPluginManager.get_plugin.call_count)
self.assertEqual('RESOLVER', self.mockPluginManager.get_plugin.call_args[0][0])
self.assertEqual('REDIS', self.mockPluginManager.get_plugin.call_args[0][1])
self.assertEqual(1, self.mockPluginManager.get_plugin.return_value.save.call_count)
self.assertEqual(self.id_obj, self.mockPluginManager.get_plugin.return_value.save.call_args[0][0])
self.assertNotIn('PR1'.encode('hex'), self.id_obj.presigned_payment_requests)
self.assertNotIn('PR2'.encode('hex'), self.id_obj.presigned_payment_requests)
class TestGetAddrsFromPaymentRequest(AddressimoTestCase):
def setUp(self):
self.crypto_addr1 = '1HjDauL2kth6KJUz5vX198Nvp1xN1hgYRb'
self.crypto_addr2 = '13HFqPr9Ceh2aBvcjxNdUycHuFG7PReGH4'
self.pd = PaymentDetails()
output1 = self.pd.outputs.add()
output1.script = serialize_script([OP_DUP, OP_HASH160, b58check_to_hex(self.crypto_addr1), OP_EQUALVERIFY, OP_CHECKSIG]).decode('hex')
output2 = self.pd.outputs.add()
output2.script = serialize_script([OP_DUP, OP_HASH160, b58check_to_hex(self.crypto_addr2), OP_EQUALVERIFY, OP_CHECKSIG]).decode('hex')
self.pd.time = int(datetime.utcnow().strftime('%s'))
self.pr = PaymentRequest()
self.pr.serialized_payment_details = self.pd.SerializeToString()
def test_go_right(self):
ret_val = get_addrs_from_paymentrequest(self.pr.SerializeToString())
self.assertIn('1HjDauL2kth6KJUz5vX198Nvp1xN1hgYRb', ret_val)
self.assertIn('13HFqPr9Ceh2aBvcjxNdUycHuFG7PReGH4', ret_val)
| 41.246094
| 154
| 0.702339
| 2,547
| 21,118
| 5.615626
| 0.08402
| 0.201356
| 0.04999
| 0.092288
| 0.853527
| 0.823534
| 0.79319
| 0.775781
| 0.757603
| 0.724883
| 0
| 0.039404
| 0.180415
| 21,118
| 512
| 155
| 41.246094
| 0.786977
| 0.001468
| 0
| 0.64011
| 0
| 0
| 0.07318
| 0.035001
| 0
| 0
| 0
| 0
| 0.568681
| 1
| 0.06044
| false
| 0
| 0.008242
| 0
| 0.085165
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| null | 0
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| 0
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| 0
|
0
| 8
|
ebe8795f7e16dd2873119fd17f5310fb3b54813d
| 36,633
|
py
|
Python
|
nlte/nde_cvae.py
|
cdiazbas/bayesflows
|
c62bf982627453f5c1c43ca954dbc332d502dfef
|
[
"MIT"
] | 4
|
2021-08-17T10:14:34.000Z
|
2021-08-19T19:26:01.000Z
|
nlte/nde_cvae.py
|
cdiazbas/bayesflows
|
c62bf982627453f5c1c43ca954dbc332d502dfef
|
[
"MIT"
] | null | null | null |
nlte/nde_cvae.py
|
cdiazbas/bayesflows
|
c62bf982627453f5c1c43ca954dbc332d502dfef
|
[
"MIT"
] | null | null | null |
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn import init
# +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def _strictly_tril_size(n):
"""Unique elements outside the diagonal
"""
return n * (n-1) // 2
# +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
class create_Coder(nn.Module):
"""Creates a encoder or a decoder according to input parameters
"""
def __init__(self, input_size, output_size, hidden_size=[64,64], activation=nn.ELU(), full_cov=True, methodfullcov="scale_tril"):
super(create_Coder, self).__init__()
self.activation = activation
self.relu = nn.ReLU()
self.elu = nn.ELU()
self.sigmoid = nn.Sigmoid()
self.tanh = nn.Tanh()
self.epsrho = 1e-2
self.full_cov = full_cov
self.methodfullcov = methodfullcov
# Input layers
coder_net_list = []
coder_net_list.append( nn.Linear(input_size, hidden_size[0]))
for i in range(1, len(hidden_size)):
coder_net_list.append(nn.Linear(hidden_size[i-1], hidden_size[i]))
self.coder_net_list = nn.ModuleList(coder_net_list)
# Output layers
self.output_mu = nn.Linear(hidden_size[-1], output_size)
self.output_logvar = nn.Linear(hidden_size[-1], output_size)
if self.full_cov is True:
self.output_chol_net = nn.Linear(hidden_size[-1], _strictly_tril_size(output_size))
self.lt_indices = torch.tril_indices(output_size, output_size, -1)
def forward(self, xx):
# Pass through input layers
for ii, ilayer in enumerate(self.coder_net_list):
xx = self.activation(ilayer(xx))
# Pass through output layers
mu = self.output_mu(xx)
logvar = -self.elu(self.output_logvar(xx))
if self.full_cov is False:
dist = torch.distributions.Independent(torch.distributions.Normal(loc=mu, scale=torch.exp(logvar.mul(0.5))),1)
return mu, logvar, dist
else:
if self.methodfullcov == "scale_tril":
rho = self.output_chol_net(xx)
diagA = torch.exp(logvar.mul(0.5))
diagB = torch.exp(logvar)
diag = torch.diag_embed(diagA)
chol = torch.zeros_like(diag)
chol[..., self.lt_indices[0], self.lt_indices[1]] = rho
chol = chol + diag
dist = torch.distributions.MultivariateNormal(loc=mu, scale_tril=chol)
elif self.methodfullcov == "covariance_matrix":
rho = self.tanh(self.output_chol_net(xx))* (1.0- self.epsrho)
diagA = torch.exp(logvar.mul(0.5))
diagB = torch.exp(logvar)
diag = torch.diag_embed(diagB)
chol = torch.zeros_like(diag)
for jj in range(self.lt_indices.shape[1]):
chol[..., self.lt_indices[0][jj], self.lt_indices[1][jj]] = rho[:,jj]*diagA[:,self.lt_indices[0][jj]]*diagA[:,self.lt_indices[1][jj]]
chol[..., self.lt_indices[1][jj], self.lt_indices[0][jj]] = rho[:,jj]*diagA[:,self.lt_indices[0][jj]]*diagA[:,self.lt_indices[1][jj]]
chol = chol + diag
# torch.cholesky(chol)
dist = torch.distributions.MultivariateNormal(loc=mu, covariance_matrix=chol)
return mu, [logvar, rho], dist
# +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
class CVAE(nn.Module):
"""Conditional Variational Autoencoder (CVAE)
"""
def __init__(self, y_size, x_size, latent_size, full_cov=True, hidden_size = [64, 64, 64], train_loader=None, methodfullcov="scale_tril"):
super(CVAE, self).__init__()
self.y_size = y_size
self.x_size = x_size
self.latent_size = latent_size
self.hidden_size = hidden_size
self.full_cov = full_cov
self.relu = nn.ReLU()
self.sigmoid = nn.Sigmoid()
self.tanh = nn.Tanh()
self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
self.methodfullcov = methodfullcov
self.encoder1_ = create_Coder(self.x_size, self.latent_size, full_cov=False, hidden_size=self.hidden_size)
self.encoder2_ = create_Coder(self.y_size + self.x_size, self.latent_size, full_cov=False, hidden_size=self.hidden_size)
self.decoder_ = create_Coder(self.latent_size + self.x_size, self.y_size, full_cov=self.full_cov,
hidden_size=self.hidden_size,methodfullcov=self.methodfullcov)
if self.full_cov is True: self.lt_indices = self.decoder_.lt_indices
if train_loader is not None:
self.x_std = train_loader.dataset.observations.std((0,1))
self.y_std = train_loader.dataset.modelparameters.std((0))
else:
self.y_std = 1.0
self.x_std = 1.0
def encode1(self, x): # x
# Conditional Prior network
mu_E , logvar_E, dum = self.encoder1_(x)
return mu_E, logvar_E
def encode2(self, x, y): # y + x
# Recognition network
inputs = torch.cat([x, y], 1)
mu_K, logvar_K, dum = self.encoder2_(inputs)
return mu_K, logvar_K
def reparametrize(self, mu, logvar):
std = torch.exp(logvar.mul(0.5))
eps = torch.empty_like(std).normal_()
eps.to(self.device)
return eps.mul(std).add_(mu)
def decode(self, z, x):
# Generation network
inputs = torch.cat([z, x], 1) # (bs, latent_size+class_size)
mu_D, logvar_D, dist = self.decoder_(inputs)
return mu_D, logvar_D, dist
def forward(self, y, x, split=False):
y = y/self.y_std
x = x/self.x_std
mu_E, logvar_E = self.encode1(x.view(-1, self.x_size))
mu_K, logvar_K = self.encode2(x.view(-1, self.x_size), y)
z = self.reparametrize(mu_K, logvar_K)
mu_D, logvar_D, dist = self.decode(z,x)
loss, i_rec, i_kld = self.loss_function(y, dist, mu_K, logvar_K, mu_E, logvar_E)
if split == False:
return loss
else:
return loss, i_rec, i_kld
def loss_function(self, y, dist, mu_K, logvar_K, mu_E, logvar_E):
# Reconstruction loss
neg_logp_total = dist.log_prob(y)
rec = -torch.mean(neg_logp_total)
# KL divergence loss
var_K = logvar_K.exp()
var_E = logvar_E.exp()
kl_div = var_K/var_E + (mu_K - mu_E)**2.0 / var_E + logvar_E - logvar_K - 1.0
kld = torch.mean(kl_div.sum(dim=1) / 2.0)
return rec+kld, rec, kld
def sample(self, x):
# Forward pass
x = x/self.x_std
mu_E, logvar_E = self.encode1(x.view(-1, self.x_size))
z = self.reparametrize(mu_E, logvar_E)
mu_D, logvar_D, dist = self.decode(z,x)
return dist.sample()*self.y_std
# +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
class GSNN(nn.Module):
"""Gaussian Stochastic Neural network (GSNN)
"""
# It is like CVAE but without the recognition encoder
def __init__(self, y_size, x_size, latent_size, full_cov=True, hidden_size = [64, 64, 64], train_loader=None, methodfullcov="scale_tril"):
super(GSNN, self).__init__()
self.y_size = y_size
self.x_size = x_size
self.latent_size = latent_size
self.hidden_size = hidden_size
self.full_cov = full_cov
self.relu = nn.ReLU()
self.sigmoid = nn.Sigmoid()
self.tanh = nn.Tanh()
self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
self.methodfullcov = methodfullcov
self.encoder1_ = create_Coder(self.x_size, self.latent_size, full_cov=False, hidden_size=self.hidden_size)
self.decoder_ = create_Coder(self.latent_size + self.x_size, self.y_size, full_cov=self.full_cov,
hidden_size=self.hidden_size,methodfullcov=self.methodfullcov)
if self.full_cov is True: self.lt_indices = self.decoder_.lt_indices
if train_loader is not None:
self.x_std = train_loader.dataset.observations.std((0,1))
self.y_std = train_loader.dataset.modelparameters.std((0))
else:
self.y_std = 1.0
self.x_std = 1.0
def encode1(self, x): # x
# Conditional Prior network
mu_E , logvar_E, dum = self.encoder1_(x)
return mu_E, logvar_E
def reparametrize(self, mu, logvar):
std = torch.exp(logvar.mul(0.5))
eps = torch.empty_like(std).normal_()
eps.to(self.device)
return eps.mul(std).add_(mu)
def decode(self, z, x):
# Generation network
inputs = torch.cat([z, x], 1) # (bs, latent_size+class_size)
mu_D, logvar_D, dist = self.decoder_(inputs)
return mu_D, logvar_D, dist
def forward(self, y, x):
y = y/self.y_std
x = x/self.x_std
mu_E, logvar_E = self.encode1(x.view(-1, self.x_size))
z = self.reparametrize(mu_E, logvar_E)
mu_D, logvar_D, dist = self.decode(z,x)
loss, i_rec, i_kld = self.loss_function(y, dist, mu_E, logvar_E, mu_E, logvar_E)
return loss
def loss_function(self, y, dist, mu_K, logvar_K, mu_E, logvar_E):
# Reconstruction loss
neg_logp_total = dist.log_prob(y)
rec = -torch.mean(neg_logp_total)
# KL divergence loss = 0
kld = torch.zeros([1], dtype=torch.int32)
return rec+kld, rec, kld
def sample(self, x):
# Forward pass
x = x/self.x_std
mu_E, logvar_E = self.encode1(x.view(-1, self.x_size))
z = self.reparametrize(mu_E, logvar_E)
mu_D, logvar_D, dist = self.decode(z,x)
# Sampling
return dist.sample()*self.y_std
# +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
class GDNN(nn.Module):
"""Gaussian Deterministic Neural network (GDNN)
"""
# It is like CVAE but without the recognition encoder and without the reparameterization trick
def __init__(self, y_size, x_size, latent_size, full_cov=True, hidden_size = [64, 64, 64], train_loader=None, methodfullcov="scale_tril"):
super(GDNN, self).__init__()
self.y_size = y_size
self.x_size = x_size
self.latent_size = latent_size
self.hidden_size = hidden_size
self.full_cov = full_cov
self.relu = nn.ReLU()
self.sigmoid = nn.Sigmoid()
self.tanh = nn.Tanh()
self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
self.methodfullcov = methodfullcov
self.decoder_ = create_Coder(self.x_size, self.y_size, full_cov=self.full_cov, hidden_size=self.hidden_size,methodfullcov=self.methodfullcov)
if self.full_cov is True: self.lt_indices = self.decoder_.lt_indices
if train_loader is not None:
print('[INFO] Normalizing to training set')
self.x_std = train_loader.dataset.modelparameters.std((0))
self.x_mean = train_loader.dataset.modelparameters.mean((0))
self.y_std = train_loader.dataset.observations.std((0))
self.y_mean = train_loader.dataset.observations.mean((0))
else:
self.y_std = 1.0
self.y_mean = 0.0
self.x_std = 1.0
self.x_mean = 0.0
def forward(self, y, x):
y = (y-self.y_mean)/self.y_std
x = (x-self.x_mean)/self.x_std
mu_D, logvar_D, dist = self.decoder_(x)
return self.loss_function(y, dist)
def loss_function(self, y, dist):
# Reconstruction loss
neg_logp_total = dist.log_prob(y)
return -torch.mean(neg_logp_total)
def sample(self, x):
# Forward pass
x = (x-self.x_mean)/self.x_std
mu_D, logvar_D, dist = self.decoder_(x)
# Sampling
return dist.sample()*self.y_std + self.y_mean
def obtain_samples(self, x, nsamples):
# Forward pass
x = (x-self.x_mean)/self.x_std
x = torch.from_numpy(x).unsqueeze(0)#.to(device)
mu_D, logvar_D, dist = self.decoder_(x)
return dist.sample((nsamples,))*self.y_std + self.y_mean
# +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
class ResidualBlock(nn.Module):
"""A general-purpose residual block. Works only with 1-dim inputs."""
def __init__(
self,
features,
context_features,
activation=F.relu,
dropout_probability=0.0,
use_batch_norm=False,
zero_initialization=True,
):
super().__init__()
self.activation = activation
self.use_batch_norm = use_batch_norm
if use_batch_norm:
self.batch_norm_layers = nn.ModuleList(
[nn.BatchNorm1d(features, eps=1e-3) for _ in range(2)]
)
if context_features is not None:
self.context_layer = nn.Linear(context_features, features)
self.linear_layers = nn.ModuleList(
[nn.Linear(features, features) for _ in range(2)]
)
self.dropout = nn.Dropout(p=dropout_probability)
if zero_initialization:
init.uniform_(self.linear_layers[-1].weight, -1e-3, 1e-3)
init.uniform_(self.linear_layers[-1].bias, -1e-3, 1e-3)
def forward(self, inputs, context=None):
temps = inputs
if self.use_batch_norm:
temps = self.batch_norm_layers[0](temps)
temps = self.activation(temps)
temps = self.linear_layers[0](temps)
if self.use_batch_norm:
temps = self.batch_norm_layers[1](temps)
temps = self.activation(temps)
temps = self.dropout(temps)
temps = self.linear_layers[1](temps)
if context is not None:
temps = F.glu(torch.cat((temps, self.context_layer(context)), dim=1), dim=1)
return inputs + temps
class ResidualNet(nn.Module):
"""A general-purpose residual network. Works only with 1-dim inputs."""
def __init__(
self,
in_features,
out_features,
hidden_features,
context_features=None,
num_blocks=2,
activation=F.elu,
dropout_probability=0.0,
use_batch_norm=False,
zero_initialization=True,
train_loader=None,
):
super().__init__()
self.hidden_features = hidden_features
self.context_features = context_features
if context_features is not None:
self.initial_layer = nn.Linear(
in_features + context_features, hidden_features
)
else:
self.initial_layer = nn.Linear(in_features, hidden_features)
self.blocks = nn.ModuleList(
[
ResidualBlock(
features=hidden_features,
context_features=context_features,
activation=activation,
dropout_probability=dropout_probability,
use_batch_norm=use_batch_norm,
zero_initialization=zero_initialization,
)
for _ in range(num_blocks)
]
)
self.output_mu = nn.Linear(hidden_features, out_features)
self.output_logvar = nn.Linear(hidden_features, out_features)
if train_loader is not None:
print('[INFO] Normalizing to training set')
self.x_std = train_loader.dataset.modelparameters.std((0))
self.x_mean = train_loader.dataset.modelparameters.mean((0))
self.y_std = train_loader.dataset.observations.std((0))
self.y_mean = train_loader.dataset.observations.mean((0))
else:
self.y_std = 1.0
self.y_mean = 0.0
self.x_std = 1.0
self.x_mean = 0.0
# print(self.y_std)
# print(self.x_std)
self.l1loss = nn.L1Loss()
self.l1loss = nn.MSELoss()
def forward_mu(self, inputs, context=None):
if context is None:
temps = self.initial_layer(inputs)
else:
temps = self.initial_layer(torch.cat((inputs, context), dim=1))
for block in self.blocks:
temps = block(temps, context=context)
# Pass through output layers
mu = self.output_mu(temps)
logvar = self.output_logvar(temps)
return mu
def forwardX(self, inputs, context=None):
if context is None:
temps = self.initial_layer(inputs)
else:
temps = self.initial_layer(torch.cat((inputs, context), dim=1))
for block in self.blocks:
temps = block(temps, context=context)
# Pass through output layers
mu = self.output_mu(temps)
logvar = self.output_logvar(temps)
dist = torch.distributions.Independent(torch.distributions.Normal(loc=mu, scale=torch.exp(logvar.mul(0.5))),1)
return dist
def forward(self, y, x):
y = (y-self.y_mean)/self.y_std
x = (x-self.x_mean)/self.x_std
dist = self.forwardX(x)
return self.loss_function(y, dist)
def loss_function(self, y, dist):
# Reconstruction loss
neg_logp_total = dist.log_prob(y)
return -torch.mean(neg_logp_total)
def sample(self, x):
# Forward pass
x = (x-self.x_mean)/self.x_std
dist = self.forwardX(x)
# Sampling
return dist.sample()*self.y_std + self.y_mean
def obtain_samples(self, x, nsamples):
# Forward pass
x = (x-self.x_mean)/self.x_std
x = torch.from_numpy(x).unsqueeze(0)#.to(device)
dist = self.forwardX(x)
return dist.sample((nsamples,))*self.y_std + self.y_mean
def evaluate(self, x):
# y = (y-self.y_mean)/self.y_std
if torch.is_tensor(x) is False: x = torch.from_numpy(x).unsqueeze(0)#.to(device)
x = (x-self.x_mean)/self.x_std
# x = torch.from_numpy(x).unsqueeze(0)#.to(device)
return self.forward_mu(x).detach().numpy()*self.y_std + self.y_mean
def forward_mse(self, y, x):
y = (y-self.y_mean)/self.y_std
x = (x-self.x_mean)/self.x_std
mu = self.forward_mu(x)
return self.loss_function_mse(y, mu)
def loss_function_mse(self, y, dist):
# print(y.shape,dist.shape)
# return +torch.mean(torch.abs(y - dist))
return self.l1loss(y,dist)
class ResidualNet2(nn.Module):
"""A general-purpose residual network. Works only with 1-dim inputs. Only mu!"""
def __init__(
self,
in_features,
out_features,
hidden_features,
context_features=None,
num_blocks=2,
activation=F.elu,
dropout_probability=0.0,
use_batch_norm=False,
zero_initialization=True,
train_loader=None,
):
super().__init__()
self.hidden_features = hidden_features
self.context_features = context_features
if context_features is not None:
self.initial_layer = nn.Linear(
in_features + context_features, hidden_features
)
else:
self.initial_layer = nn.Linear(in_features, hidden_features)
self.blocks = nn.ModuleList(
[
ResidualBlock(
features=hidden_features,
context_features=context_features,
activation=activation,
dropout_probability=dropout_probability,
use_batch_norm=use_batch_norm,
zero_initialization=zero_initialization,
)
for _ in range(num_blocks)
]
)
self.output_mu = nn.Linear(hidden_features, out_features)
if train_loader is not None:
print('[INFO] Normalizing to training set')
self.x_std = train_loader.dataset.modelparameters.std((0))
self.x_mean = train_loader.dataset.modelparameters.mean((0))
self.y_std = train_loader.dataset.observations.std((0))
self.y_mean = train_loader.dataset.observations.mean((0))
else:
self.y_std = 1.0
self.y_mean = 0.0
self.x_std = 1.0
self.x_mean = 0.0
# self.l1loss = nn.L1Loss()
self.l1loss = nn.MSELoss()
def forward_mu(self, inputs, context=None):
if context is None:
temps = self.initial_layer(inputs)
else:
temps = self.initial_layer(torch.cat((inputs, context), dim=1))
for block in self.blocks:
temps = block(temps, context=context)
# Pass through output layers
mu = self.output_mu(temps)
return mu
def obtain_samples(self, x, nsamples):
# Forward pass
x = (x-self.x_mean)/self.x_std
x = torch.from_numpy(x).unsqueeze(0)#.to(device)
dist = self.forward_mu(x)
return torch.unsqueeze(dist, 0).detach().numpy()*self.y_std + self.y_mean
def evaluate(self, x):
# y = (y-self.y_mean)/self.y_std
if torch.is_tensor(x) is False: x = torch.from_numpy(x).unsqueeze(0)#.to(device)
x = (x-self.x_mean)/self.x_std
# x = torch.from_numpy(x).unsqueeze(0)#.to(device)
return self.forward_mu(x).detach().numpy()*self.y_std + self.y_mean
def forward_mse(self, y, x):
y = (y-self.y_mean)/self.y_std
x = (x-self.x_mean)/self.x_std
mu = self.forward_mu(x)
return self.loss_function_mse(y, mu)
def loss_function_mse(self, y, dist):
# return +torch.mean(torch.abs(y - dist))
return self.l1loss(y,dist)
class ResidualNet3(nn.Module):
"""A general-purpose residual network. Works only with 1-dim inputs. 1 trainable Fourier"""
def __init__(
self,
in_features,
out_features,
hidden_features,
context_features=None,
num_blocks=2,
activation=F.elu,
dropout_probability=0.0,
use_batch_norm=False,
zero_initialization=True,
train_loader=None,
):
super().__init__()
fourier = 2
in_features = int(fourier*in_features)
self.hidden_features = hidden_features
self.context_features = context_features
if context_features is not None:
self.initial_layer = nn.Linear(
in_features + context_features, hidden_features
)
else:
self.initial_layer = nn.Linear(in_features, hidden_features)
self.blocks = nn.ModuleList(
[
ResidualBlock(
features=hidden_features,
context_features=context_features,
activation=activation,
dropout_probability=dropout_probability,
use_batch_norm=use_batch_norm,
zero_initialization=zero_initialization,
)
for _ in range(num_blocks)
]
)
self.output_mu = nn.Linear(hidden_features, out_features)
if train_loader is not None:
print('[INFO] Normalizing to training set')
self.x_std = train_loader.dataset.modelparameters.std((0))
self.x_mean = train_loader.dataset.modelparameters.mean((0))
self.y_std = train_loader.dataset.observations.std((0))
self.y_mean = train_loader.dataset.observations.mean((0))
else:
self.y_std = 1.0
self.y_mean = 0.0
self.x_std = 1.0
self.x_mean = 0.0
# self.l1loss = nn.L1Loss()
self.l1loss = nn.MSELoss()
self.register_parameter(name='A0', param=torch.nn.Parameter(torch.randn(int(in_features/fourier))))
self.register_parameter(name='w0', param=torch.nn.Parameter(torch.randn(int(in_features/fourier))))
self.register_parameter(name='b0', param=torch.nn.Parameter(torch.randn(int(in_features/fourier))))
# print('in_features',in_features)
def forward_mu(self, inputs, context=None):
# print(inputs.max((0)))
# print(self.w0)
# print(inputs.shape)
# print(torch.sin(inputs).shape)
# print(torch.sin(self.w0*inputs).shape)
inputs = torch.cat((inputs, 3*self.A0*torch.sin(self.w0*inputs+self.b0)), dim=1)
# print(inputs.max())
if context is None:
temps = self.initial_layer(inputs)
else:
temps = self.initial_layer(torch.cat((inputs, context), dim=1))
for block in self.blocks:
temps = block(temps, context=context)
# Pass through output layers
mu = self.output_mu(temps)
return mu
def obtain_samples(self, x, nsamples):
# Forward pass
x = (x-self.x_mean)/self.x_std
x = torch.from_numpy(x).unsqueeze(0)#.to(device)
dist = self.forward_mu(x)
return torch.unsqueeze(dist, 0).detach().numpy()*self.y_std + self.y_mean
def evaluate(self, x):
# y = (y-self.y_mean)/self.y_std
# print('---------')
# print(self.w0)
# print(self.A0)
# print(self.b0)
# print('---------')
if torch.is_tensor(x) is False: x = torch.from_numpy(x).unsqueeze(0)#.to(device)
x = (x-self.x_mean)/self.x_std
# x = torch.from_numpy(x).unsqueeze(0)#.to(device)
return self.forward_mu(x).detach().numpy()*self.y_std + self.y_mean
def forward_mse(self, y, x):
y = (y-self.y_mean)/self.y_std
x = (x-self.x_mean)/self.x_std
mu = self.forward_mu(x)
return self.loss_function_mse(y, mu)
def loss_function_mse(self, y, dist):
# return +torch.mean(torch.abs(y - dist))
return self.l1loss(y,dist)
class ResidualNet4(nn.Module):
"""A general-purpose residual network. Works only with 1-dim inputs. Fourier feature"""
def __init__(
self,
in_features,
out_features,
hidden_features,
context_features=None,
num_blocks=2,
activation=F.elu,
dropout_probability=0.0,
use_batch_norm=False,
zero_initialization=True,
train_loader=None,
fourier = 128,
trainble=True,
matrix=True,
):
super().__init__()
self.matrix = matrix
in_features_ori = int(in_features*1.0)
in_features = int(fourier*in_features)
if self.matrix: in_features = int(fourier-1 + in_features_ori)
self.hidden_features = hidden_features
self.context_features = context_features
if context_features is not None:
self.initial_layer = nn.Linear(
in_features + context_features, hidden_features
)
else:
self.initial_layer = nn.Linear(in_features, hidden_features)
self.blocks = nn.ModuleList(
[
ResidualBlock(
features=hidden_features,
context_features=context_features,
activation=activation,
dropout_probability=dropout_probability,
use_batch_norm=use_batch_norm,
zero_initialization=zero_initialization,
)
for _ in range(num_blocks)
]
)
self.output_mu = nn.Linear(hidden_features, out_features)
if train_loader is not None:
print('[INFO] Normalizing to training set')
self.x_std = train_loader.dataset.modelparameters.std((0))
self.x_mean = train_loader.dataset.modelparameters.mean((0))
self.y_std = train_loader.dataset.observations.std((0))
self.y_mean = train_loader.dataset.observations.mean((0))
else:
self.y_std = 1.0
self.y_mean = 0.0
self.x_std = 1.0
self.x_mean = 0.0
# self.l1loss = nn.L1Loss()
self.l1loss = nn.MSELoss()
# self.register_parameter(name='A0', param=torch.nn.Parameter(torch.randn(int(fourier-1),in_features_ori)), requires_grad=False)
# self.register_parameter(name='w0', param=torch.nn.Parameter(torch.randn(int(fourier-1),in_features_ori)))
# self.register_parameter(name='b0', param=torch.nn.Parameter(torch.randn(int(fourier-1),in_features_ori)))
self.A0 = nn.Parameter(torch.nn.Parameter(torch.randn(int(fourier-1),in_features_ori)), requires_grad=trainble )
self.w0 = nn.Parameter(torch.nn.Parameter(torch.randn(int(fourier-1),in_features_ori)), requires_grad=trainble )
self.b0 = nn.Parameter(torch.nn.Parameter(torch.randn(int(fourier-1),in_features_ori)), requires_grad=trainble )
print('[X] in_features',in_features)
print('[X] in_features_ori',in_features_ori)
print('[X] fourier',fourier)
print('[X] trainble',trainble)
# print('[X] (fourier-1)*in_features_ori',(fourier-1)*in_features_ori)
print('')
def forward_mu(self, inputs, context=None):
# print(inputs.max((0)))
# print(self.w0)
# x_proj = (2. * np.pi * x) @ B.t()
# print(self.A0)
# print(inputs.shape)
# print(self.A0.shape)
# if self.matrix:
# (self.A0 @ inputs.t())
if self.matrix is True:
nA0 = (self.A0 @ inputs.t()).t()
nw0 = (self.w0 @ inputs.t()).t()
nb0 = (self.b0 @ torch.ones_like(inputs).t()).t()
ninput = nA0* torch.sin(nw0+nb0)
inputs = torch.cat((inputs,ninput), dim=1)
# new_tensor = torch.cat(inputs.shape[0]*[self.A0])
# new_tensor = self.A0.repeat(inputs.shape[0], 1, 1).t()*inputs
# print('new_tensor',new_tensor.shape)
# new_tensor torch.Size([12700, 27])
# ninput = self.A0.repeat(inputs.shape[0], 1, 1)*torch.sin(self.w0.repeat(inputs.shape[0], 1, 1)*inputs+self.b0.repeat(inputs.shape[0], 1, 1))
# print('ninput',ninput.shape)
# print( (self.A0[0,:]*inputs).shape )
# print(self.A0.shape[0])
# print( ' torch.cat((inputs, self.A0[0,:]*inputs), dim=1)', torch.cat((inputs, self.A0[0,:]*inputs), dim=1))
else:
for jj in range(self.A0.shape[0]):
inputs = torch.cat((inputs, self.A0[jj,:]*torch.sin(self.w0[jj,:]*inputs[:,:self.A0.shape[1]]+self.b0[jj,:]) ), dim=1)
# print(torch.sin(inputs).shape)
# print(torch.sin(self.w0*inputs).shape)
# print('after',inputs.shape)
# inputs = torch.cat((inputs, 3*self.A0*torch.sin(self.w0*inputs+self.b0)), dim=1)
# print(inputs.max())
if context is None:
temps = self.initial_layer(inputs)
else:
temps = self.initial_layer(torch.cat((inputs, context), dim=1))
for block in self.blocks:
temps = block(temps, context=context)
# Pass through output layers
mu = self.output_mu(temps)
return mu
def obtain_samples(self, x, nsamples):
# Forward pass
x = (x-self.x_mean)/self.x_std
x = torch.from_numpy(x).unsqueeze(0)#.to(device)
dist = self.forward_mu(x)
return torch.unsqueeze(dist, 0).detach().numpy()*self.y_std + self.y_mean
def evaluate(self, x):
# y = (y-self.y_mean)/self.y_std
# print('---------')
# print(self.w0)
# print(self.A0)
# print(self.b0)
# print('---------')
if torch.is_tensor(x) is False: x = torch.from_numpy(x)#.to(device)
if len(x.shape)<1.5:
x = x.unsqueeze(0)
x = (x-self.x_mean)/self.x_std
# x = torch.from_numpy(x).unsqueeze(0)#.to(device)
if x.shape[0] ==1:
return self.forward_mu(x)[0,:].detach().numpy()*self.y_std + self.y_mean
else:
return self.forward_mu(x).detach().numpy()*self.y_std + self.y_mean
def forward_mse(self, y, x):
y = (y-self.y_mean)/self.y_std
x = (x-self.x_mean)/self.x_std
mu = self.forward_mu(x)
return self.loss_function_mse(y, mu)
def loss_function_mse(self, y, dist):
# return +torch.mean(torch.abs(y - dist))
return self.l1loss(y,dist)
class ResidualNet5(nn.Module):
"""A general-purpose residual network. Works only with 1-dim inputs. Only mu!"""
def __init__(
self,
in_features,
out_features,
hidden_features,
context_features=None,
num_blocks=2,
activation=F.elu,
dropout_probability=0.0,
use_batch_norm=False,
zero_initialization=True,
train_loader=None,
input_encoder=None,
):
super().__init__()
self.hidden_features = hidden_features
self.context_features = context_features
if context_features is not None:
self.initial_layer = nn.Linear(
in_features + context_features, hidden_features
)
else:
self.initial_layer = nn.Linear(in_features, hidden_features)
self.blocks = nn.ModuleList(
[
ResidualBlock(
features=hidden_features,
context_features=context_features,
activation=activation,
dropout_probability=dropout_probability,
use_batch_norm=use_batch_norm,
zero_initialization=zero_initialization,
)
for _ in range(num_blocks)
]
)
self.output_mu = nn.Linear(hidden_features, out_features)
if train_loader is not None:
print('[INFO] Normalizing to training set')
self.x_std = train_loader.dataset.modelparameters.std((0))
self.x_mean = train_loader.dataset.modelparameters.mean((0))
self.y_std = train_loader.dataset.observations.std((0))
self.y_mean = train_loader.dataset.observations.mean((0))
else:
self.y_std = 1.0
self.y_mean = 0.0
self.x_std = 1.0
self.x_mean = 0.0
# self.l1loss = nn.L1Loss()
self.l1loss = nn.MSELoss()
if input_encoder is not None:
print('[INFO] Using a pretrained input encoder')
self.input_encoder = torch.load(input_encoder)
for parami in self.input_encoder.parameters():
parami.requires_grad = False
self.y_std = self.input_encoder.y_std
self.y_mean = self.input_encoder.y_mean
self.x_std = self.input_encoder.x_std
self.x_mean = self.input_encoder.x_mean
self.input_encoder.x_std = 1.0
self.input_encoder.x_mean = 0.0
self.input_encoder.y_std = 1.0
self.input_encoder.y_mean = 0.0
def forward_mu(self, inputs, context=None):
sinputs = torch.from_numpy(self.input_encoder.evaluate(inputs))
if context is None:
temps = self.initial_layer(inputs)
else:
temps = self.initial_layer(torch.cat((inputs, context), dim=1))
for block in self.blocks:
temps = block(temps, context=context)
# Pass through output layers
mu = self.output_mu(temps)
return mu+sinputs
def obtain_samples(self, x, nsamples):
# Forward pass
x = (x-self.x_mean)/self.x_std
x = torch.from_numpy(x).unsqueeze(0)#.to(device)
dist = self.forward_mu(x)
return torch.unsqueeze(dist, 0).detach().numpy()*self.y_std + self.y_mean
def evaluate(self, x):
# y = (y-self.y_mean)/self.y_std
if torch.is_tensor(x) is False: x = torch.from_numpy(x).unsqueeze(0)#.to(device)
x = (x-self.x_mean)/self.x_std
# x = torch.from_numpy(x).unsqueeze(0)#.to(device)
return self.forward_mu(x).detach().numpy()*self.y_std + self.y_mean
def forward_mse(self, y, x):
y = (y-self.y_mean)/self.y_std
x = (x-self.x_mean)/self.x_std
mu = self.forward_mu(x)
return self.loss_function_mse(y, mu)
def loss_function_mse(self, y, dist):
# return +torch.mean(torch.abs(y - dist))
return self.l1loss(y,dist)
| 35.774414
| 153
| 0.583681
| 4,809
| 36,633
| 4.237887
| 0.055729
| 0.028214
| 0.018842
| 0.008243
| 0.844603
| 0.814671
| 0.786016
| 0.772375
| 0.766438
| 0.752993
| 0
| 0.014917
| 0.286327
| 36,633
| 1,023
| 154
| 35.809384
| 0.764611
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| 0
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| 1
| 0.083451
| false
| 0
| 0.007072
| 0.007072
| 0.178218
| 0.016973
| 0
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| null | 0
| 0
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0
| 7
|
ccf6c8308c0748656b1317ca366ed5b4daaa3e9b
| 90,206
|
py
|
Python
|
google/ads/google_ads/v6/proto/common/segments_pb2.py
|
arammaliachi/google-ads-python
|
a4fe89567bd43eb784410523a6306b5d1dd9ee67
|
[
"Apache-2.0"
] | null | null | null |
google/ads/google_ads/v6/proto/common/segments_pb2.py
|
arammaliachi/google-ads-python
|
a4fe89567bd43eb784410523a6306b5d1dd9ee67
|
[
"Apache-2.0"
] | null | null | null |
google/ads/google_ads/v6/proto/common/segments_pb2.py
|
arammaliachi/google-ads-python
|
a4fe89567bd43eb784410523a6306b5d1dd9ee67
|
[
"Apache-2.0"
] | null | null | null |
# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: google/ads/googleads/v6/common/segments.proto
"""Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
from google.ads.google_ads.v6.proto.common import criteria_pb2 as google_dot_ads_dot_googleads_dot_v6_dot_common_dot_criteria__pb2
from google.ads.google_ads.v6.proto.enums import ad_destination_type_pb2 as google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_ad__destination__type__pb2
from google.ads.google_ads.v6.proto.enums import ad_network_type_pb2 as google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_ad__network__type__pb2
from google.ads.google_ads.v6.proto.enums import budget_campaign_association_status_pb2 as google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_budget__campaign__association__status__pb2
from google.ads.google_ads.v6.proto.enums import click_type_pb2 as google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_click__type__pb2
from google.ads.google_ads.v6.proto.enums import conversion_action_category_pb2 as google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_conversion__action__category__pb2
from google.ads.google_ads.v6.proto.enums import conversion_attribution_event_type_pb2 as google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_conversion__attribution__event__type__pb2
from google.ads.google_ads.v6.proto.enums import conversion_lag_bucket_pb2 as google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_conversion__lag__bucket__pb2
from google.ads.google_ads.v6.proto.enums import conversion_or_adjustment_lag_bucket_pb2 as google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_conversion__or__adjustment__lag__bucket__pb2
from google.ads.google_ads.v6.proto.enums import day_of_week_pb2 as google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_day__of__week__pb2
from google.ads.google_ads.v6.proto.enums import device_pb2 as google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_device__pb2
from google.ads.google_ads.v6.proto.enums import external_conversion_source_pb2 as google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_external__conversion__source__pb2
from google.ads.google_ads.v6.proto.enums import hotel_date_selection_type_pb2 as google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_hotel__date__selection__type__pb2
from google.ads.google_ads.v6.proto.enums import hotel_price_bucket_pb2 as google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_hotel__price__bucket__pb2
from google.ads.google_ads.v6.proto.enums import hotel_rate_type_pb2 as google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_hotel__rate__type__pb2
from google.ads.google_ads.v6.proto.enums import month_of_year_pb2 as google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_month__of__year__pb2
from google.ads.google_ads.v6.proto.enums import placeholder_type_pb2 as google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_placeholder__type__pb2
from google.ads.google_ads.v6.proto.enums import product_channel_pb2 as google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_product__channel__pb2
from google.ads.google_ads.v6.proto.enums import product_channel_exclusivity_pb2 as google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_product__channel__exclusivity__pb2
from google.ads.google_ads.v6.proto.enums import product_condition_pb2 as google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_product__condition__pb2
from google.ads.google_ads.v6.proto.enums import search_engine_results_page_type_pb2 as google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_search__engine__results__page__type__pb2
from google.ads.google_ads.v6.proto.enums import search_term_match_type_pb2 as google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_search__term__match__type__pb2
from google.ads.google_ads.v6.proto.enums import slot_pb2 as google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_slot__pb2
from google.api import annotations_pb2 as google_dot_api_dot_annotations__pb2
DESCRIPTOR = _descriptor.FileDescriptor(
name='google/ads/googleads/v6/common/segments.proto',
package='google.ads.googleads.v6.common',
syntax='proto3',
serialized_options=b'\n\"com.google.ads.googleads.v6.commonB\rSegmentsProtoP\001ZDgoogle.golang.org/genproto/googleapis/ads/googleads/v6/common;common\242\002\003GAA\252\002\036Google.Ads.GoogleAds.V6.Common\312\002\036Google\\Ads\\GoogleAds\\V6\\Common\352\002\"Google::Ads::GoogleAds::V6::Common',
create_key=_descriptor._internal_create_key,
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,
dependencies=[google_dot_ads_dot_googleads_dot_v6_dot_common_dot_criteria__pb2.DESCRIPTOR,google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_ad__destination__type__pb2.DESCRIPTOR,google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_ad__network__type__pb2.DESCRIPTOR,google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_budget__campaign__association__status__pb2.DESCRIPTOR,google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_click__type__pb2.DESCRIPTOR,google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_conversion__action__category__pb2.DESCRIPTOR,google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_conversion__attribution__event__type__pb2.DESCRIPTOR,google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_conversion__lag__bucket__pb2.DESCRIPTOR,google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_conversion__or__adjustment__lag__bucket__pb2.DESCRIPTOR,google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_day__of__week__pb2.DESCRIPTOR,google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_device__pb2.DESCRIPTOR,google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_external__conversion__source__pb2.DESCRIPTOR,google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_hotel__date__selection__type__pb2.DESCRIPTOR,google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_hotel__price__bucket__pb2.DESCRIPTOR,google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_hotel__rate__type__pb2.DESCRIPTOR,google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_month__of__year__pb2.DESCRIPTOR,google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_placeholder__type__pb2.DESCRIPTOR,google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_product__channel__pb2.DESCRIPTOR,google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_product__channel__exclusivity__pb2.DESCRIPTOR,google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_product__condition__pb2.DESCRIPTOR,google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_search__engine__results__page__type__pb2.DESCRIPTOR,google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_search__term__match__type__pb2.DESCRIPTOR,google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_slot__pb2.DESCRIPTOR,google_dot_api_dot_annotations__pb2.DESCRIPTOR,])
_SEGMENTS = _descriptor.Descriptor(
name='Segments',
full_name='google.ads.googleads.v6.common.Segments',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='ad_destination_type', full_name='google.ads.googleads.v6.common.Segments.ad_destination_type', index=0,
number=136, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='ad_network_type', full_name='google.ads.googleads.v6.common.Segments.ad_network_type', index=1,
number=3, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='budget_campaign_association_status', full_name='google.ads.googleads.v6.common.Segments.budget_campaign_association_status', index=2,
number=134, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='click_type', full_name='google.ads.googleads.v6.common.Segments.click_type', index=3,
number=26, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='conversion_action', full_name='google.ads.googleads.v6.common.Segments.conversion_action', index=4,
number=113, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='conversion_action_category', full_name='google.ads.googleads.v6.common.Segments.conversion_action_category', index=5,
number=53, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='conversion_action_name', full_name='google.ads.googleads.v6.common.Segments.conversion_action_name', index=6,
number=114, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='conversion_adjustment', full_name='google.ads.googleads.v6.common.Segments.conversion_adjustment', index=7,
number=115, type=8, cpp_type=7, label=1,
has_default_value=False, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='conversion_attribution_event_type', full_name='google.ads.googleads.v6.common.Segments.conversion_attribution_event_type', index=8,
number=2, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='conversion_lag_bucket', full_name='google.ads.googleads.v6.common.Segments.conversion_lag_bucket', index=9,
number=50, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='conversion_or_adjustment_lag_bucket', full_name='google.ads.googleads.v6.common.Segments.conversion_or_adjustment_lag_bucket', index=10,
number=51, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='date', full_name='google.ads.googleads.v6.common.Segments.date', index=11,
number=79, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='day_of_week', full_name='google.ads.googleads.v6.common.Segments.day_of_week', index=12,
number=5, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='device', full_name='google.ads.googleads.v6.common.Segments.device', index=13,
number=1, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='external_conversion_source', full_name='google.ads.googleads.v6.common.Segments.external_conversion_source', index=14,
number=55, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='geo_target_airport', full_name='google.ads.googleads.v6.common.Segments.geo_target_airport', index=15,
number=116, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='geo_target_canton', full_name='google.ads.googleads.v6.common.Segments.geo_target_canton', index=16,
number=117, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='geo_target_city', full_name='google.ads.googleads.v6.common.Segments.geo_target_city', index=17,
number=118, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='geo_target_country', full_name='google.ads.googleads.v6.common.Segments.geo_target_country', index=18,
number=119, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='geo_target_county', full_name='google.ads.googleads.v6.common.Segments.geo_target_county', index=19,
number=120, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='geo_target_district', full_name='google.ads.googleads.v6.common.Segments.geo_target_district', index=20,
number=121, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='geo_target_metro', full_name='google.ads.googleads.v6.common.Segments.geo_target_metro', index=21,
number=122, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='geo_target_most_specific_location', full_name='google.ads.googleads.v6.common.Segments.geo_target_most_specific_location', index=22,
number=123, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='geo_target_postal_code', full_name='google.ads.googleads.v6.common.Segments.geo_target_postal_code', index=23,
number=124, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='geo_target_province', full_name='google.ads.googleads.v6.common.Segments.geo_target_province', index=24,
number=125, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='geo_target_region', full_name='google.ads.googleads.v6.common.Segments.geo_target_region', index=25,
number=126, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='geo_target_state', full_name='google.ads.googleads.v6.common.Segments.geo_target_state', index=26,
number=127, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='hotel_booking_window_days', full_name='google.ads.googleads.v6.common.Segments.hotel_booking_window_days', index=27,
number=135, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='hotel_center_id', full_name='google.ads.googleads.v6.common.Segments.hotel_center_id', index=28,
number=80, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='hotel_check_in_date', full_name='google.ads.googleads.v6.common.Segments.hotel_check_in_date', index=29,
number=81, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='hotel_check_in_day_of_week', full_name='google.ads.googleads.v6.common.Segments.hotel_check_in_day_of_week', index=30,
number=9, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='hotel_city', full_name='google.ads.googleads.v6.common.Segments.hotel_city', index=31,
number=82, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='hotel_class', full_name='google.ads.googleads.v6.common.Segments.hotel_class', index=32,
number=83, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='hotel_country', full_name='google.ads.googleads.v6.common.Segments.hotel_country', index=33,
number=84, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='hotel_date_selection_type', full_name='google.ads.googleads.v6.common.Segments.hotel_date_selection_type', index=34,
number=13, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='hotel_length_of_stay', full_name='google.ads.googleads.v6.common.Segments.hotel_length_of_stay', index=35,
number=85, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='hotel_rate_rule_id', full_name='google.ads.googleads.v6.common.Segments.hotel_rate_rule_id', index=36,
number=86, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='hotel_rate_type', full_name='google.ads.googleads.v6.common.Segments.hotel_rate_type', index=37,
number=74, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='hotel_price_bucket', full_name='google.ads.googleads.v6.common.Segments.hotel_price_bucket', index=38,
number=78, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='hotel_state', full_name='google.ads.googleads.v6.common.Segments.hotel_state', index=39,
number=87, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='hour', full_name='google.ads.googleads.v6.common.Segments.hour', index=40,
number=88, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='interaction_on_this_extension', full_name='google.ads.googleads.v6.common.Segments.interaction_on_this_extension', index=41,
number=89, type=8, cpp_type=7, label=1,
has_default_value=False, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='keyword', full_name='google.ads.googleads.v6.common.Segments.keyword', index=42,
number=61, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='month', full_name='google.ads.googleads.v6.common.Segments.month', index=43,
number=90, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='month_of_year', full_name='google.ads.googleads.v6.common.Segments.month_of_year', index=44,
number=18, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='partner_hotel_id', full_name='google.ads.googleads.v6.common.Segments.partner_hotel_id', index=45,
number=91, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='placeholder_type', full_name='google.ads.googleads.v6.common.Segments.placeholder_type', index=46,
number=20, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='product_aggregator_id', full_name='google.ads.googleads.v6.common.Segments.product_aggregator_id', index=47,
number=132, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='product_bidding_category_level1', full_name='google.ads.googleads.v6.common.Segments.product_bidding_category_level1', index=48,
number=92, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='product_bidding_category_level2', full_name='google.ads.googleads.v6.common.Segments.product_bidding_category_level2', index=49,
number=93, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='product_bidding_category_level3', full_name='google.ads.googleads.v6.common.Segments.product_bidding_category_level3', index=50,
number=94, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='product_bidding_category_level4', full_name='google.ads.googleads.v6.common.Segments.product_bidding_category_level4', index=51,
number=95, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='product_bidding_category_level5', full_name='google.ads.googleads.v6.common.Segments.product_bidding_category_level5', index=52,
number=96, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='product_brand', full_name='google.ads.googleads.v6.common.Segments.product_brand', index=53,
number=97, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='product_channel', full_name='google.ads.googleads.v6.common.Segments.product_channel', index=54,
number=30, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='product_channel_exclusivity', full_name='google.ads.googleads.v6.common.Segments.product_channel_exclusivity', index=55,
number=31, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='product_condition', full_name='google.ads.googleads.v6.common.Segments.product_condition', index=56,
number=32, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='product_country', full_name='google.ads.googleads.v6.common.Segments.product_country', index=57,
number=98, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='product_custom_attribute0', full_name='google.ads.googleads.v6.common.Segments.product_custom_attribute0', index=58,
number=99, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='product_custom_attribute1', full_name='google.ads.googleads.v6.common.Segments.product_custom_attribute1', index=59,
number=100, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='product_custom_attribute2', full_name='google.ads.googleads.v6.common.Segments.product_custom_attribute2', index=60,
number=101, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='product_custom_attribute3', full_name='google.ads.googleads.v6.common.Segments.product_custom_attribute3', index=61,
number=102, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='product_custom_attribute4', full_name='google.ads.googleads.v6.common.Segments.product_custom_attribute4', index=62,
number=103, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='product_item_id', full_name='google.ads.googleads.v6.common.Segments.product_item_id', index=63,
number=104, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='product_language', full_name='google.ads.googleads.v6.common.Segments.product_language', index=64,
number=105, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='product_merchant_id', full_name='google.ads.googleads.v6.common.Segments.product_merchant_id', index=65,
number=133, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='product_store_id', full_name='google.ads.googleads.v6.common.Segments.product_store_id', index=66,
number=106, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='product_title', full_name='google.ads.googleads.v6.common.Segments.product_title', index=67,
number=107, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='product_type_l1', full_name='google.ads.googleads.v6.common.Segments.product_type_l1', index=68,
number=108, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='product_type_l2', full_name='google.ads.googleads.v6.common.Segments.product_type_l2', index=69,
number=109, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='product_type_l3', full_name='google.ads.googleads.v6.common.Segments.product_type_l3', index=70,
number=110, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='product_type_l4', full_name='google.ads.googleads.v6.common.Segments.product_type_l4', index=71,
number=111, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='product_type_l5', full_name='google.ads.googleads.v6.common.Segments.product_type_l5', index=72,
number=112, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='quarter', full_name='google.ads.googleads.v6.common.Segments.quarter', index=73,
number=128, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='search_engine_results_page_type', full_name='google.ads.googleads.v6.common.Segments.search_engine_results_page_type', index=74,
number=70, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='search_term_match_type', full_name='google.ads.googleads.v6.common.Segments.search_term_match_type', index=75,
number=22, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='slot', full_name='google.ads.googleads.v6.common.Segments.slot', index=76,
number=23, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='webpage', full_name='google.ads.googleads.v6.common.Segments.webpage', index=77,
number=129, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='week', full_name='google.ads.googleads.v6.common.Segments.week', index=78,
number=130, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='year', full_name='google.ads.googleads.v6.common.Segments.year', index=79,
number=131, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
_descriptor.OneofDescriptor(
name='_conversion_action', full_name='google.ads.googleads.v6.common.Segments._conversion_action',
index=0, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_conversion_action_name', full_name='google.ads.googleads.v6.common.Segments._conversion_action_name',
index=1, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_conversion_adjustment', full_name='google.ads.googleads.v6.common.Segments._conversion_adjustment',
index=2, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_date', full_name='google.ads.googleads.v6.common.Segments._date',
index=3, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_geo_target_airport', full_name='google.ads.googleads.v6.common.Segments._geo_target_airport',
index=4, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_geo_target_canton', full_name='google.ads.googleads.v6.common.Segments._geo_target_canton',
index=5, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_geo_target_city', full_name='google.ads.googleads.v6.common.Segments._geo_target_city',
index=6, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_geo_target_country', full_name='google.ads.googleads.v6.common.Segments._geo_target_country',
index=7, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_geo_target_county', full_name='google.ads.googleads.v6.common.Segments._geo_target_county',
index=8, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_geo_target_district', full_name='google.ads.googleads.v6.common.Segments._geo_target_district',
index=9, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_geo_target_metro', full_name='google.ads.googleads.v6.common.Segments._geo_target_metro',
index=10, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_geo_target_most_specific_location', full_name='google.ads.googleads.v6.common.Segments._geo_target_most_specific_location',
index=11, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_geo_target_postal_code', full_name='google.ads.googleads.v6.common.Segments._geo_target_postal_code',
index=12, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_geo_target_province', full_name='google.ads.googleads.v6.common.Segments._geo_target_province',
index=13, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_geo_target_region', full_name='google.ads.googleads.v6.common.Segments._geo_target_region',
index=14, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_geo_target_state', full_name='google.ads.googleads.v6.common.Segments._geo_target_state',
index=15, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_hotel_booking_window_days', full_name='google.ads.googleads.v6.common.Segments._hotel_booking_window_days',
index=16, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_hotel_center_id', full_name='google.ads.googleads.v6.common.Segments._hotel_center_id',
index=17, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_hotel_check_in_date', full_name='google.ads.googleads.v6.common.Segments._hotel_check_in_date',
index=18, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_hotel_city', full_name='google.ads.googleads.v6.common.Segments._hotel_city',
index=19, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_hotel_class', full_name='google.ads.googleads.v6.common.Segments._hotel_class',
index=20, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_hotel_country', full_name='google.ads.googleads.v6.common.Segments._hotel_country',
index=21, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_hotel_length_of_stay', full_name='google.ads.googleads.v6.common.Segments._hotel_length_of_stay',
index=22, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_hotel_rate_rule_id', full_name='google.ads.googleads.v6.common.Segments._hotel_rate_rule_id',
index=23, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_hotel_state', full_name='google.ads.googleads.v6.common.Segments._hotel_state',
index=24, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_hour', full_name='google.ads.googleads.v6.common.Segments._hour',
index=25, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_interaction_on_this_extension', full_name='google.ads.googleads.v6.common.Segments._interaction_on_this_extension',
index=26, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_month', full_name='google.ads.googleads.v6.common.Segments._month',
index=27, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_partner_hotel_id', full_name='google.ads.googleads.v6.common.Segments._partner_hotel_id',
index=28, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_product_aggregator_id', full_name='google.ads.googleads.v6.common.Segments._product_aggregator_id',
index=29, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_product_bidding_category_level1', full_name='google.ads.googleads.v6.common.Segments._product_bidding_category_level1',
index=30, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_product_bidding_category_level2', full_name='google.ads.googleads.v6.common.Segments._product_bidding_category_level2',
index=31, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_product_bidding_category_level3', full_name='google.ads.googleads.v6.common.Segments._product_bidding_category_level3',
index=32, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_product_bidding_category_level4', full_name='google.ads.googleads.v6.common.Segments._product_bidding_category_level4',
index=33, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_product_bidding_category_level5', full_name='google.ads.googleads.v6.common.Segments._product_bidding_category_level5',
index=34, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_product_brand', full_name='google.ads.googleads.v6.common.Segments._product_brand',
index=35, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_product_country', full_name='google.ads.googleads.v6.common.Segments._product_country',
index=36, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_product_custom_attribute0', full_name='google.ads.googleads.v6.common.Segments._product_custom_attribute0',
index=37, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_product_custom_attribute1', full_name='google.ads.googleads.v6.common.Segments._product_custom_attribute1',
index=38, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_product_custom_attribute2', full_name='google.ads.googleads.v6.common.Segments._product_custom_attribute2',
index=39, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_product_custom_attribute3', full_name='google.ads.googleads.v6.common.Segments._product_custom_attribute3',
index=40, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_product_custom_attribute4', full_name='google.ads.googleads.v6.common.Segments._product_custom_attribute4',
index=41, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_product_item_id', full_name='google.ads.googleads.v6.common.Segments._product_item_id',
index=42, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_product_language', full_name='google.ads.googleads.v6.common.Segments._product_language',
index=43, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_product_merchant_id', full_name='google.ads.googleads.v6.common.Segments._product_merchant_id',
index=44, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_product_store_id', full_name='google.ads.googleads.v6.common.Segments._product_store_id',
index=45, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_product_title', full_name='google.ads.googleads.v6.common.Segments._product_title',
index=46, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_product_type_l1', full_name='google.ads.googleads.v6.common.Segments._product_type_l1',
index=47, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_product_type_l2', full_name='google.ads.googleads.v6.common.Segments._product_type_l2',
index=48, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_product_type_l3', full_name='google.ads.googleads.v6.common.Segments._product_type_l3',
index=49, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_product_type_l4', full_name='google.ads.googleads.v6.common.Segments._product_type_l4',
index=50, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_product_type_l5', full_name='google.ads.googleads.v6.common.Segments._product_type_l5',
index=51, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_quarter', full_name='google.ads.googleads.v6.common.Segments._quarter',
index=52, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_webpage', full_name='google.ads.googleads.v6.common.Segments._webpage',
index=53, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_week', full_name='google.ads.googleads.v6.common.Segments._week',
index=54, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_year', full_name='google.ads.googleads.v6.common.Segments._year',
index=55, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
],
serialized_start=1434,
serialized_end=6960,
)
_KEYWORD = _descriptor.Descriptor(
name='Keyword',
full_name='google.ads.googleads.v6.common.Keyword',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='ad_group_criterion', full_name='google.ads.googleads.v6.common.Keyword.ad_group_criterion', index=0,
number=3, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='info', full_name='google.ads.googleads.v6.common.Keyword.info', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
_descriptor.OneofDescriptor(
name='_ad_group_criterion', full_name='google.ads.googleads.v6.common.Keyword._ad_group_criterion',
index=0, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
],
serialized_start=6962,
serialized_end=7086,
)
_BUDGETCAMPAIGNASSOCIATIONSTATUS = _descriptor.Descriptor(
name='BudgetCampaignAssociationStatus',
full_name='google.ads.googleads.v6.common.BudgetCampaignAssociationStatus',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='campaign', full_name='google.ads.googleads.v6.common.BudgetCampaignAssociationStatus.campaign', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='status', full_name='google.ads.googleads.v6.common.BudgetCampaignAssociationStatus.status', index=1,
number=2, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
_descriptor.OneofDescriptor(
name='_campaign', full_name='google.ads.googleads.v6.common.BudgetCampaignAssociationStatus._campaign',
index=0, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
],
serialized_start=7089,
serialized_end=7274,
)
_SEGMENTS.fields_by_name['ad_destination_type'].enum_type = google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_ad__destination__type__pb2._ADDESTINATIONTYPEENUM_ADDESTINATIONTYPE
_SEGMENTS.fields_by_name['ad_network_type'].enum_type = google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_ad__network__type__pb2._ADNETWORKTYPEENUM_ADNETWORKTYPE
_SEGMENTS.fields_by_name['budget_campaign_association_status'].message_type = _BUDGETCAMPAIGNASSOCIATIONSTATUS
_SEGMENTS.fields_by_name['click_type'].enum_type = google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_click__type__pb2._CLICKTYPEENUM_CLICKTYPE
_SEGMENTS.fields_by_name['conversion_action_category'].enum_type = google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_conversion__action__category__pb2._CONVERSIONACTIONCATEGORYENUM_CONVERSIONACTIONCATEGORY
_SEGMENTS.fields_by_name['conversion_attribution_event_type'].enum_type = google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_conversion__attribution__event__type__pb2._CONVERSIONATTRIBUTIONEVENTTYPEENUM_CONVERSIONATTRIBUTIONEVENTTYPE
_SEGMENTS.fields_by_name['conversion_lag_bucket'].enum_type = google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_conversion__lag__bucket__pb2._CONVERSIONLAGBUCKETENUM_CONVERSIONLAGBUCKET
_SEGMENTS.fields_by_name['conversion_or_adjustment_lag_bucket'].enum_type = google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_conversion__or__adjustment__lag__bucket__pb2._CONVERSIONORADJUSTMENTLAGBUCKETENUM_CONVERSIONORADJUSTMENTLAGBUCKET
_SEGMENTS.fields_by_name['day_of_week'].enum_type = google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_day__of__week__pb2._DAYOFWEEKENUM_DAYOFWEEK
_SEGMENTS.fields_by_name['device'].enum_type = google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_device__pb2._DEVICEENUM_DEVICE
_SEGMENTS.fields_by_name['external_conversion_source'].enum_type = google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_external__conversion__source__pb2._EXTERNALCONVERSIONSOURCEENUM_EXTERNALCONVERSIONSOURCE
_SEGMENTS.fields_by_name['hotel_check_in_day_of_week'].enum_type = google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_day__of__week__pb2._DAYOFWEEKENUM_DAYOFWEEK
_SEGMENTS.fields_by_name['hotel_date_selection_type'].enum_type = google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_hotel__date__selection__type__pb2._HOTELDATESELECTIONTYPEENUM_HOTELDATESELECTIONTYPE
_SEGMENTS.fields_by_name['hotel_rate_type'].enum_type = google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_hotel__rate__type__pb2._HOTELRATETYPEENUM_HOTELRATETYPE
_SEGMENTS.fields_by_name['hotel_price_bucket'].enum_type = google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_hotel__price__bucket__pb2._HOTELPRICEBUCKETENUM_HOTELPRICEBUCKET
_SEGMENTS.fields_by_name['keyword'].message_type = _KEYWORD
_SEGMENTS.fields_by_name['month_of_year'].enum_type = google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_month__of__year__pb2._MONTHOFYEARENUM_MONTHOFYEAR
_SEGMENTS.fields_by_name['placeholder_type'].enum_type = google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_placeholder__type__pb2._PLACEHOLDERTYPEENUM_PLACEHOLDERTYPE
_SEGMENTS.fields_by_name['product_channel'].enum_type = google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_product__channel__pb2._PRODUCTCHANNELENUM_PRODUCTCHANNEL
_SEGMENTS.fields_by_name['product_channel_exclusivity'].enum_type = google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_product__channel__exclusivity__pb2._PRODUCTCHANNELEXCLUSIVITYENUM_PRODUCTCHANNELEXCLUSIVITY
_SEGMENTS.fields_by_name['product_condition'].enum_type = google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_product__condition__pb2._PRODUCTCONDITIONENUM_PRODUCTCONDITION
_SEGMENTS.fields_by_name['search_engine_results_page_type'].enum_type = google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_search__engine__results__page__type__pb2._SEARCHENGINERESULTSPAGETYPEENUM_SEARCHENGINERESULTSPAGETYPE
_SEGMENTS.fields_by_name['search_term_match_type'].enum_type = google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_search__term__match__type__pb2._SEARCHTERMMATCHTYPEENUM_SEARCHTERMMATCHTYPE
_SEGMENTS.fields_by_name['slot'].enum_type = google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_slot__pb2._SLOTENUM_SLOT
_SEGMENTS.oneofs_by_name['_conversion_action'].fields.append(
_SEGMENTS.fields_by_name['conversion_action'])
_SEGMENTS.fields_by_name['conversion_action'].containing_oneof = _SEGMENTS.oneofs_by_name['_conversion_action']
_SEGMENTS.oneofs_by_name['_conversion_action_name'].fields.append(
_SEGMENTS.fields_by_name['conversion_action_name'])
_SEGMENTS.fields_by_name['conversion_action_name'].containing_oneof = _SEGMENTS.oneofs_by_name['_conversion_action_name']
_SEGMENTS.oneofs_by_name['_conversion_adjustment'].fields.append(
_SEGMENTS.fields_by_name['conversion_adjustment'])
_SEGMENTS.fields_by_name['conversion_adjustment'].containing_oneof = _SEGMENTS.oneofs_by_name['_conversion_adjustment']
_SEGMENTS.oneofs_by_name['_date'].fields.append(
_SEGMENTS.fields_by_name['date'])
_SEGMENTS.fields_by_name['date'].containing_oneof = _SEGMENTS.oneofs_by_name['_date']
_SEGMENTS.oneofs_by_name['_geo_target_airport'].fields.append(
_SEGMENTS.fields_by_name['geo_target_airport'])
_SEGMENTS.fields_by_name['geo_target_airport'].containing_oneof = _SEGMENTS.oneofs_by_name['_geo_target_airport']
_SEGMENTS.oneofs_by_name['_geo_target_canton'].fields.append(
_SEGMENTS.fields_by_name['geo_target_canton'])
_SEGMENTS.fields_by_name['geo_target_canton'].containing_oneof = _SEGMENTS.oneofs_by_name['_geo_target_canton']
_SEGMENTS.oneofs_by_name['_geo_target_city'].fields.append(
_SEGMENTS.fields_by_name['geo_target_city'])
_SEGMENTS.fields_by_name['geo_target_city'].containing_oneof = _SEGMENTS.oneofs_by_name['_geo_target_city']
_SEGMENTS.oneofs_by_name['_geo_target_country'].fields.append(
_SEGMENTS.fields_by_name['geo_target_country'])
_SEGMENTS.fields_by_name['geo_target_country'].containing_oneof = _SEGMENTS.oneofs_by_name['_geo_target_country']
_SEGMENTS.oneofs_by_name['_geo_target_county'].fields.append(
_SEGMENTS.fields_by_name['geo_target_county'])
_SEGMENTS.fields_by_name['geo_target_county'].containing_oneof = _SEGMENTS.oneofs_by_name['_geo_target_county']
_SEGMENTS.oneofs_by_name['_geo_target_district'].fields.append(
_SEGMENTS.fields_by_name['geo_target_district'])
_SEGMENTS.fields_by_name['geo_target_district'].containing_oneof = _SEGMENTS.oneofs_by_name['_geo_target_district']
_SEGMENTS.oneofs_by_name['_geo_target_metro'].fields.append(
_SEGMENTS.fields_by_name['geo_target_metro'])
_SEGMENTS.fields_by_name['geo_target_metro'].containing_oneof = _SEGMENTS.oneofs_by_name['_geo_target_metro']
_SEGMENTS.oneofs_by_name['_geo_target_most_specific_location'].fields.append(
_SEGMENTS.fields_by_name['geo_target_most_specific_location'])
_SEGMENTS.fields_by_name['geo_target_most_specific_location'].containing_oneof = _SEGMENTS.oneofs_by_name['_geo_target_most_specific_location']
_SEGMENTS.oneofs_by_name['_geo_target_postal_code'].fields.append(
_SEGMENTS.fields_by_name['geo_target_postal_code'])
_SEGMENTS.fields_by_name['geo_target_postal_code'].containing_oneof = _SEGMENTS.oneofs_by_name['_geo_target_postal_code']
_SEGMENTS.oneofs_by_name['_geo_target_province'].fields.append(
_SEGMENTS.fields_by_name['geo_target_province'])
_SEGMENTS.fields_by_name['geo_target_province'].containing_oneof = _SEGMENTS.oneofs_by_name['_geo_target_province']
_SEGMENTS.oneofs_by_name['_geo_target_region'].fields.append(
_SEGMENTS.fields_by_name['geo_target_region'])
_SEGMENTS.fields_by_name['geo_target_region'].containing_oneof = _SEGMENTS.oneofs_by_name['_geo_target_region']
_SEGMENTS.oneofs_by_name['_geo_target_state'].fields.append(
_SEGMENTS.fields_by_name['geo_target_state'])
_SEGMENTS.fields_by_name['geo_target_state'].containing_oneof = _SEGMENTS.oneofs_by_name['_geo_target_state']
_SEGMENTS.oneofs_by_name['_hotel_booking_window_days'].fields.append(
_SEGMENTS.fields_by_name['hotel_booking_window_days'])
_SEGMENTS.fields_by_name['hotel_booking_window_days'].containing_oneof = _SEGMENTS.oneofs_by_name['_hotel_booking_window_days']
_SEGMENTS.oneofs_by_name['_hotel_center_id'].fields.append(
_SEGMENTS.fields_by_name['hotel_center_id'])
_SEGMENTS.fields_by_name['hotel_center_id'].containing_oneof = _SEGMENTS.oneofs_by_name['_hotel_center_id']
_SEGMENTS.oneofs_by_name['_hotel_check_in_date'].fields.append(
_SEGMENTS.fields_by_name['hotel_check_in_date'])
_SEGMENTS.fields_by_name['hotel_check_in_date'].containing_oneof = _SEGMENTS.oneofs_by_name['_hotel_check_in_date']
_SEGMENTS.oneofs_by_name['_hotel_city'].fields.append(
_SEGMENTS.fields_by_name['hotel_city'])
_SEGMENTS.fields_by_name['hotel_city'].containing_oneof = _SEGMENTS.oneofs_by_name['_hotel_city']
_SEGMENTS.oneofs_by_name['_hotel_class'].fields.append(
_SEGMENTS.fields_by_name['hotel_class'])
_SEGMENTS.fields_by_name['hotel_class'].containing_oneof = _SEGMENTS.oneofs_by_name['_hotel_class']
_SEGMENTS.oneofs_by_name['_hotel_country'].fields.append(
_SEGMENTS.fields_by_name['hotel_country'])
_SEGMENTS.fields_by_name['hotel_country'].containing_oneof = _SEGMENTS.oneofs_by_name['_hotel_country']
_SEGMENTS.oneofs_by_name['_hotel_length_of_stay'].fields.append(
_SEGMENTS.fields_by_name['hotel_length_of_stay'])
_SEGMENTS.fields_by_name['hotel_length_of_stay'].containing_oneof = _SEGMENTS.oneofs_by_name['_hotel_length_of_stay']
_SEGMENTS.oneofs_by_name['_hotel_rate_rule_id'].fields.append(
_SEGMENTS.fields_by_name['hotel_rate_rule_id'])
_SEGMENTS.fields_by_name['hotel_rate_rule_id'].containing_oneof = _SEGMENTS.oneofs_by_name['_hotel_rate_rule_id']
_SEGMENTS.oneofs_by_name['_hotel_state'].fields.append(
_SEGMENTS.fields_by_name['hotel_state'])
_SEGMENTS.fields_by_name['hotel_state'].containing_oneof = _SEGMENTS.oneofs_by_name['_hotel_state']
_SEGMENTS.oneofs_by_name['_hour'].fields.append(
_SEGMENTS.fields_by_name['hour'])
_SEGMENTS.fields_by_name['hour'].containing_oneof = _SEGMENTS.oneofs_by_name['_hour']
_SEGMENTS.oneofs_by_name['_interaction_on_this_extension'].fields.append(
_SEGMENTS.fields_by_name['interaction_on_this_extension'])
_SEGMENTS.fields_by_name['interaction_on_this_extension'].containing_oneof = _SEGMENTS.oneofs_by_name['_interaction_on_this_extension']
_SEGMENTS.oneofs_by_name['_month'].fields.append(
_SEGMENTS.fields_by_name['month'])
_SEGMENTS.fields_by_name['month'].containing_oneof = _SEGMENTS.oneofs_by_name['_month']
_SEGMENTS.oneofs_by_name['_partner_hotel_id'].fields.append(
_SEGMENTS.fields_by_name['partner_hotel_id'])
_SEGMENTS.fields_by_name['partner_hotel_id'].containing_oneof = _SEGMENTS.oneofs_by_name['_partner_hotel_id']
_SEGMENTS.oneofs_by_name['_product_aggregator_id'].fields.append(
_SEGMENTS.fields_by_name['product_aggregator_id'])
_SEGMENTS.fields_by_name['product_aggregator_id'].containing_oneof = _SEGMENTS.oneofs_by_name['_product_aggregator_id']
_SEGMENTS.oneofs_by_name['_product_bidding_category_level1'].fields.append(
_SEGMENTS.fields_by_name['product_bidding_category_level1'])
_SEGMENTS.fields_by_name['product_bidding_category_level1'].containing_oneof = _SEGMENTS.oneofs_by_name['_product_bidding_category_level1']
_SEGMENTS.oneofs_by_name['_product_bidding_category_level2'].fields.append(
_SEGMENTS.fields_by_name['product_bidding_category_level2'])
_SEGMENTS.fields_by_name['product_bidding_category_level2'].containing_oneof = _SEGMENTS.oneofs_by_name['_product_bidding_category_level2']
_SEGMENTS.oneofs_by_name['_product_bidding_category_level3'].fields.append(
_SEGMENTS.fields_by_name['product_bidding_category_level3'])
_SEGMENTS.fields_by_name['product_bidding_category_level3'].containing_oneof = _SEGMENTS.oneofs_by_name['_product_bidding_category_level3']
_SEGMENTS.oneofs_by_name['_product_bidding_category_level4'].fields.append(
_SEGMENTS.fields_by_name['product_bidding_category_level4'])
_SEGMENTS.fields_by_name['product_bidding_category_level4'].containing_oneof = _SEGMENTS.oneofs_by_name['_product_bidding_category_level4']
_SEGMENTS.oneofs_by_name['_product_bidding_category_level5'].fields.append(
_SEGMENTS.fields_by_name['product_bidding_category_level5'])
_SEGMENTS.fields_by_name['product_bidding_category_level5'].containing_oneof = _SEGMENTS.oneofs_by_name['_product_bidding_category_level5']
_SEGMENTS.oneofs_by_name['_product_brand'].fields.append(
_SEGMENTS.fields_by_name['product_brand'])
_SEGMENTS.fields_by_name['product_brand'].containing_oneof = _SEGMENTS.oneofs_by_name['_product_brand']
_SEGMENTS.oneofs_by_name['_product_country'].fields.append(
_SEGMENTS.fields_by_name['product_country'])
_SEGMENTS.fields_by_name['product_country'].containing_oneof = _SEGMENTS.oneofs_by_name['_product_country']
_SEGMENTS.oneofs_by_name['_product_custom_attribute0'].fields.append(
_SEGMENTS.fields_by_name['product_custom_attribute0'])
_SEGMENTS.fields_by_name['product_custom_attribute0'].containing_oneof = _SEGMENTS.oneofs_by_name['_product_custom_attribute0']
_SEGMENTS.oneofs_by_name['_product_custom_attribute1'].fields.append(
_SEGMENTS.fields_by_name['product_custom_attribute1'])
_SEGMENTS.fields_by_name['product_custom_attribute1'].containing_oneof = _SEGMENTS.oneofs_by_name['_product_custom_attribute1']
_SEGMENTS.oneofs_by_name['_product_custom_attribute2'].fields.append(
_SEGMENTS.fields_by_name['product_custom_attribute2'])
_SEGMENTS.fields_by_name['product_custom_attribute2'].containing_oneof = _SEGMENTS.oneofs_by_name['_product_custom_attribute2']
_SEGMENTS.oneofs_by_name['_product_custom_attribute3'].fields.append(
_SEGMENTS.fields_by_name['product_custom_attribute3'])
_SEGMENTS.fields_by_name['product_custom_attribute3'].containing_oneof = _SEGMENTS.oneofs_by_name['_product_custom_attribute3']
_SEGMENTS.oneofs_by_name['_product_custom_attribute4'].fields.append(
_SEGMENTS.fields_by_name['product_custom_attribute4'])
_SEGMENTS.fields_by_name['product_custom_attribute4'].containing_oneof = _SEGMENTS.oneofs_by_name['_product_custom_attribute4']
_SEGMENTS.oneofs_by_name['_product_item_id'].fields.append(
_SEGMENTS.fields_by_name['product_item_id'])
_SEGMENTS.fields_by_name['product_item_id'].containing_oneof = _SEGMENTS.oneofs_by_name['_product_item_id']
_SEGMENTS.oneofs_by_name['_product_language'].fields.append(
_SEGMENTS.fields_by_name['product_language'])
_SEGMENTS.fields_by_name['product_language'].containing_oneof = _SEGMENTS.oneofs_by_name['_product_language']
_SEGMENTS.oneofs_by_name['_product_merchant_id'].fields.append(
_SEGMENTS.fields_by_name['product_merchant_id'])
_SEGMENTS.fields_by_name['product_merchant_id'].containing_oneof = _SEGMENTS.oneofs_by_name['_product_merchant_id']
_SEGMENTS.oneofs_by_name['_product_store_id'].fields.append(
_SEGMENTS.fields_by_name['product_store_id'])
_SEGMENTS.fields_by_name['product_store_id'].containing_oneof = _SEGMENTS.oneofs_by_name['_product_store_id']
_SEGMENTS.oneofs_by_name['_product_title'].fields.append(
_SEGMENTS.fields_by_name['product_title'])
_SEGMENTS.fields_by_name['product_title'].containing_oneof = _SEGMENTS.oneofs_by_name['_product_title']
_SEGMENTS.oneofs_by_name['_product_type_l1'].fields.append(
_SEGMENTS.fields_by_name['product_type_l1'])
_SEGMENTS.fields_by_name['product_type_l1'].containing_oneof = _SEGMENTS.oneofs_by_name['_product_type_l1']
_SEGMENTS.oneofs_by_name['_product_type_l2'].fields.append(
_SEGMENTS.fields_by_name['product_type_l2'])
_SEGMENTS.fields_by_name['product_type_l2'].containing_oneof = _SEGMENTS.oneofs_by_name['_product_type_l2']
_SEGMENTS.oneofs_by_name['_product_type_l3'].fields.append(
_SEGMENTS.fields_by_name['product_type_l3'])
_SEGMENTS.fields_by_name['product_type_l3'].containing_oneof = _SEGMENTS.oneofs_by_name['_product_type_l3']
_SEGMENTS.oneofs_by_name['_product_type_l4'].fields.append(
_SEGMENTS.fields_by_name['product_type_l4'])
_SEGMENTS.fields_by_name['product_type_l4'].containing_oneof = _SEGMENTS.oneofs_by_name['_product_type_l4']
_SEGMENTS.oneofs_by_name['_product_type_l5'].fields.append(
_SEGMENTS.fields_by_name['product_type_l5'])
_SEGMENTS.fields_by_name['product_type_l5'].containing_oneof = _SEGMENTS.oneofs_by_name['_product_type_l5']
_SEGMENTS.oneofs_by_name['_quarter'].fields.append(
_SEGMENTS.fields_by_name['quarter'])
_SEGMENTS.fields_by_name['quarter'].containing_oneof = _SEGMENTS.oneofs_by_name['_quarter']
_SEGMENTS.oneofs_by_name['_webpage'].fields.append(
_SEGMENTS.fields_by_name['webpage'])
_SEGMENTS.fields_by_name['webpage'].containing_oneof = _SEGMENTS.oneofs_by_name['_webpage']
_SEGMENTS.oneofs_by_name['_week'].fields.append(
_SEGMENTS.fields_by_name['week'])
_SEGMENTS.fields_by_name['week'].containing_oneof = _SEGMENTS.oneofs_by_name['_week']
_SEGMENTS.oneofs_by_name['_year'].fields.append(
_SEGMENTS.fields_by_name['year'])
_SEGMENTS.fields_by_name['year'].containing_oneof = _SEGMENTS.oneofs_by_name['_year']
_KEYWORD.fields_by_name['info'].message_type = google_dot_ads_dot_googleads_dot_v6_dot_common_dot_criteria__pb2._KEYWORDINFO
_KEYWORD.oneofs_by_name['_ad_group_criterion'].fields.append(
_KEYWORD.fields_by_name['ad_group_criterion'])
_KEYWORD.fields_by_name['ad_group_criterion'].containing_oneof = _KEYWORD.oneofs_by_name['_ad_group_criterion']
_BUDGETCAMPAIGNASSOCIATIONSTATUS.fields_by_name['status'].enum_type = google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_budget__campaign__association__status__pb2._BUDGETCAMPAIGNASSOCIATIONSTATUSENUM_BUDGETCAMPAIGNASSOCIATIONSTATUS
_BUDGETCAMPAIGNASSOCIATIONSTATUS.oneofs_by_name['_campaign'].fields.append(
_BUDGETCAMPAIGNASSOCIATIONSTATUS.fields_by_name['campaign'])
_BUDGETCAMPAIGNASSOCIATIONSTATUS.fields_by_name['campaign'].containing_oneof = _BUDGETCAMPAIGNASSOCIATIONSTATUS.oneofs_by_name['_campaign']
DESCRIPTOR.message_types_by_name['Segments'] = _SEGMENTS
DESCRIPTOR.message_types_by_name['Keyword'] = _KEYWORD
DESCRIPTOR.message_types_by_name['BudgetCampaignAssociationStatus'] = _BUDGETCAMPAIGNASSOCIATIONSTATUS
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
Segments = _reflection.GeneratedProtocolMessageType('Segments', (_message.Message,), {
'DESCRIPTOR' : _SEGMENTS,
'__module__' : 'google.ads.googleads.v6.common.segments_pb2'
# @@protoc_insertion_point(class_scope:google.ads.googleads.v6.common.Segments)
})
_sym_db.RegisterMessage(Segments)
Keyword = _reflection.GeneratedProtocolMessageType('Keyword', (_message.Message,), {
'DESCRIPTOR' : _KEYWORD,
'__module__' : 'google.ads.googleads.v6.common.segments_pb2'
# @@protoc_insertion_point(class_scope:google.ads.googleads.v6.common.Keyword)
})
_sym_db.RegisterMessage(Keyword)
BudgetCampaignAssociationStatus = _reflection.GeneratedProtocolMessageType('BudgetCampaignAssociationStatus', (_message.Message,), {
'DESCRIPTOR' : _BUDGETCAMPAIGNASSOCIATIONSTATUS,
'__module__' : 'google.ads.googleads.v6.common.segments_pb2'
# @@protoc_insertion_point(class_scope:google.ads.googleads.v6.common.BudgetCampaignAssociationStatus)
})
_sym_db.RegisterMessage(BudgetCampaignAssociationStatus)
DESCRIPTOR._options = None
# @@protoc_insertion_point(module_scope)
| 73.100486
| 10,392
| 0.800401
| 12,538
| 90,206
| 5.304195
| 0.049609
| 0.037652
| 0.064853
| 0.058643
| 0.866715
| 0.831469
| 0.803861
| 0.742406
| 0.660847
| 0.635405
| 0
| 0.036969
| 0.08842
| 90,206
| 1,233
| 10,393
| 73.159773
| 0.771786
| 0.005476
| 0
| 0.546058
| 1
| 0.005809
| 0.258598
| 0.211262
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.023237
| 0
| 0.023237
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
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| 1
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|
0
| 7
|
6914a1cd08bda4f67656b4c2497dec7df984a675
| 8,907
|
py
|
Python
|
authors/apps/articles/test_articles_ratings.py
|
andela/ah-leagueOfLegends
|
ebe3a4621a5baf36a9345d4b126ba73dc37acd1f
|
[
"BSD-3-Clause"
] | null | null | null |
authors/apps/articles/test_articles_ratings.py
|
andela/ah-leagueOfLegends
|
ebe3a4621a5baf36a9345d4b126ba73dc37acd1f
|
[
"BSD-3-Clause"
] | 43
|
2018-08-27T16:53:58.000Z
|
2022-03-11T23:28:24.000Z
|
authors/apps/articles/test_articles_ratings.py
|
andela/ah-leagueOfLegends
|
ebe3a4621a5baf36a9345d4b126ba73dc37acd1f
|
[
"BSD-3-Clause"
] | 2
|
2018-10-30T10:30:35.000Z
|
2018-11-12T07:48:02.000Z
|
from ..base_test import BaseTest
from django.urls import reverse
from rest_framework.views import status
import json
class ArticleTestCase(BaseTest):
"""
Class implements tests for artcles
"""
def create_article(self, token, article):
"""
Helper method to creates an article
"""
return self.client.post(
'/api/articles',
article,
HTTP_AUTHORIZATION='Bearer ' + token,
format='json'
)
def rate_article(self, token, slug, rate):
"""
Helper method to creates an article
"""
return self.client.post(
'/api/articles/' + slug + '/rate/', rate,
HTTP_AUTHORIZATION='Bearer ' + token,
format='json'
)
def test_cannot_rate_own_article(self):
"""
Test an article can be searched by title
and returned successfully
"""
response = self.client.post(
self.SIGN_UP_URL,
self.user_cred,
format='json')
response = self.client.post(
reverse('authentication:user_login'),
self.user_cred,
format='json')
token = response.data['token']
article= {
"article":
{
"title": "How to feed your dragon",
"description": "Wanna know how?",
"body": "You don't believe?",
}
}
response = self.create_article(token, article)
slug = 'how-to-feed-your-dragon'
rate={
"rate": {
"rating": 5
}
}
response = self.rate_article(token, slug, rate)
self.assertEquals(status.HTTP_401_UNAUTHORIZED, response.status_code)
def test_can_rate_article_successfully(self):
""" Tests whether a user can delete an article when not author
Method registers a user, logs in the user,
creates an article, then updates the article
"""
response = self.client.post(
self.SIGN_UP_URL,
self.user_cred,
format='json')
response = self.client.post(
reverse('authentication:user_login'),
self.user_cred,
format='json')
token = response.data['token']
article = {
"article":
{
"title": "How to feed your dragon",
"description": "Wanna know how?",
"body": "You don't believe?",
}
}
response = self.create_article(token, article)
# Asserr true that an article has been created
self.assertEquals(status.HTTP_201_CREATED,
response.status_code)
response = self.client.post(
self.SIGN_UP_URL,
self.user_cred1,
format='json')
response = self.client.post(
reverse('authentication:user_login'),
self.user_cred1,
format='json')
token = response.data['token']
# Delete the article created by another user.
# Expects to throw a 404 error
slug = 'how-to-feed-your-dragon'
rate={
"rate": {
"rating": 5,
"note": "I loved the dragons story"
}
}
response = self.rate_article(token, slug, rate)
self.assertEquals(status.HTTP_201_CREATED,
response.status_code)
def test_can_rate_article_not_integer(self):
""" Tests whether a user can delete an article when not author
Method registers a user, logs in the user,
creates an article, then updates the article
"""
response = self.client.post(
self.SIGN_UP_URL,
self.user_cred,
format='json')
response = self.client.post(
reverse('authentication:user_login'),
self.user_cred,
format='json')
token = response.data['token']
article = {
"article":
{
"title": "How to feed your dragon",
"description": "Wanna know how?",
"body": "You don't believe?",
}
}
response = self.create_article(token, article)
# Asserr true that an article has been created
self.assertEquals(status.HTTP_201_CREATED,
response.status_code)
response = self.client.post(
self.SIGN_UP_URL,
self.user_cred1,
format='json')
response = self.client.post(
reverse('authentication:user_login'),
self.user_cred1,
format='json')
token = response.data['token']
# Delete the article created by another user.
# Expects to throw a 404 error
slug = 'how-to-feed-your-dragon'
rate={
"rate": {
"rating": "5",
"note": "I loved the dragons story"
}
}
response = self.rate_article(token, slug, rate)
self.assertEquals(status.HTTP_401_UNAUTHORIZED,
response.status_code)
def test_can_rate_article_rate_value_greater_than_5(self):
""" Tests whether a user can delete an article when not author
Method registers a user, logs in the user,
creates an article, then updates the article
"""
response = self.client.post(
self.SIGN_UP_URL,
self.user_cred,
format='json')
response = self.client.post(
reverse('authentication:user_login'),
self.user_cred,
format='json')
token = response.data['token']
article = {
"article":
{
"title": "How to feed your dragon",
"description": "Wanna know how?",
"body": "You don't believe?",
}
}
response = self.create_article(token, article)
# Asserr true that an article has been created
self.assertEquals(status.HTTP_201_CREATED,
response.status_code)
response = self.client.post(
self.SIGN_UP_URL,
self.user_cred1,
format='json')
response = self.client.post(
reverse('authentication:user_login'),
self.user_cred1,
format='json')
token = response.data['token']
# Delete the article created by another user.
# Expects to throw a 404 error
slug = 'how-to-feed-your-dragon'
rate={
"rate": {
"rating": 6,
"note": "I loved the dragons story"
}
}
response = self.rate_article(token, slug, rate)
self.assertEquals(status.HTTP_401_UNAUTHORIZED,
response.status_code)
def test_can_rate_article_rate_value_less_than_1(self):
""" Tests whether a user can delete an article when not author
Method registers a user, logs in the user,
creates an article, then updates the article
"""
response = self.client.post(
self.SIGN_UP_URL,
self.user_cred,
format='json')
response = self.client.post(
reverse('authentication:user_login'),
self.user_cred,
format='json')
token = response.data['token']
article = {
"article":
{
"title": "How to feed your dragon",
"description": "Wanna know how?",
"body": "You don't believe?",
}
}
response = self.create_article(token, article)
# Asserr true that an article has been created
self.assertEquals(status.HTTP_201_CREATED,
response.status_code)
response = self.client.post(
self.SIGN_UP_URL,
self.user_cred1,
format='json')
response = self.client.post(
reverse('authentication:user_login'),
self.user_cred1,
format='json')
token = response.data['token']
# Delete the article created by another user.
# Expects to throw a 404 error
slug = 'how-to-feed-your-dragon'
rate={
"rate": {
"rating": 0,
"note": "I loved the dragons story"
}
}
response = self.rate_article(token, slug, rate)
self.assertEquals(status.HTTP_401_UNAUTHORIZED,
response.status_code)
| 31.034843
| 77
| 0.516111
| 897
| 8,907
| 4.994426
| 0.128205
| 0.075
| 0.0625
| 0.088393
| 0.918973
| 0.918973
| 0.918973
| 0.90067
| 0.895982
| 0.889732
| 0
| 0.009954
| 0.390928
| 8,907
| 287
| 78
| 31.034843
| 0.815853
| 0.138543
| 0
| 0.765854
| 0
| 0
| 0.146984
| 0.045681
| 0
| 0
| 0
| 0
| 0.043902
| 1
| 0.034146
| false
| 0
| 0.019512
| 0
| 0.068293
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
691a54d8c72507cabd3c980e8b03ee2d2d0cd10b
| 122
|
py
|
Python
|
use1.py
|
pythontrainernag/python_7
|
eaff90ac6885f3c1e1db91d885215040b32d8f0f
|
[
"MIT"
] | null | null | null |
use1.py
|
pythontrainernag/python_7
|
eaff90ac6885f3c1e1db91d885215040b32d8f0f
|
[
"MIT"
] | null | null | null |
use1.py
|
pythontrainernag/python_7
|
eaff90ac6885f3c1e1db91d885215040b32d8f0f
|
[
"MIT"
] | null | null | null |
import arth
print arth.addi(4, 8)
print arth.subs(4, 8)
print arth.mul(4, 8)
print arth.a
obj = arth.Myclass()
print obj
| 13.555556
| 21
| 0.704918
| 25
| 122
| 3.44
| 0.44
| 0.418605
| 0.244186
| 0.383721
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.058252
| 0.155738
| 122
| 8
| 22
| 15.25
| 0.776699
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.142857
| null | null | 0.714286
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 7
|
694e910fd479c311b592de678d764f3d0b499d04
| 15,259
|
py
|
Python
|
scheduler.py
|
YangChenye/Khameleon-Scheduler-RL
|
7ddfe067bf5ebb757b06aede6591e9f86ea4af6a
|
[
"MIT"
] | null | null | null |
scheduler.py
|
YangChenye/Khameleon-Scheduler-RL
|
7ddfe067bf5ebb757b06aede6591e9f86ea4af6a
|
[
"MIT"
] | null | null | null |
scheduler.py
|
YangChenye/Khameleon-Scheduler-RL
|
7ddfe067bf5ebb757b06aede6591e9f86ea4af6a
|
[
"MIT"
] | null | null | null |
# Created by Chenye Yang on 2020/8/12.
# Copyright © 2020 Chenye Yang. All rights reserved.
import random
import numpy as np
import matplotlib.pyplot as plt
class Scheduler():
def epsilon_greedy(self, value, e, seed=None):
'''
Implement Epsilon-Greedy policy.
Inputs:
value: numpy ndarray
A vector of values of actions to choose from
e: float
Epsilon
seed: None or int
Assign an integer value to remove the randomness
Outputs:
action: int
Index of the chosen action
'''
assert len(value.shape) == 1
assert 0 <= e <= 1
if seed != None:
np.random.seed(seed)
############################
# YOUR CODE STARTS HERE
if random.random() > e: # prob = 1-e
action = np.argmax(value)
else: # prob = e
action = random.randrange(value.size)
# YOUR CODE ENDS HERE
############################
return action
def follow_prediction(self, prediction):
'''
choose action from Prediction with max prob.
Inputs:
prediction: float list
A list of predicted probability of actions to choose from
Outputs:
action: int
Index of the chosen action
'''
action = prediction.index(max(prediction))
return action
def which_action(self, prediction, value, e, seed=None):
'''
balance between greedy-policy and predicted distribution.
Inputs:
prediction: float list
A list of predicted probability of actions to choose from
value: numpy ndarray
A vector of values of actions to choose from
e: float
Epsilon
seed: None or int
Assign an integer value to remove the randomness
Outputs:
action: int
Index of the chosen action
'''
balance = 0.1
if random.random() > balance:
action = self.epsilon_greedy(value, e, seed) # choose action from State using e-greedy policy derived from Q
else:
action = self.follow_prediction(prediction) # choose action from Prediction with max prob
return action
def QLearning(self, prediction, env, num_episodes, gamma, lr, e):
"""
Implement the Q-learning algorithm following the epsilon-greedy exploration.
Inputs:
env: OpenAI Gym environment
env.P: dictionary
P[state][action] are tuples of tuples tuples with (probability, nextstate, reward, terminal)
probability: float
nextstate: int
reward: float
terminal: boolean
env.nS: int
number of states
env.nA: int
number of actions
num_episodes: int
Number of episodes of training
gamma: float
Discount factor.
lr: float
Learning rate.
e: float
Epsilon value used in the epsilon-greedy method.
Outputs:
Q: numpy.ndarray
"""
Q = np.zeros((env.nS, env.nA))
############################
# YOUR CODE STARTS HERE
max_iteration = 600
average_reward_Q = [0 for i in range(num_episodes)]
for episode in range(num_episodes):
state = random.randint(0, (env.nS - 1)) # randomly initialize start state
step = 0
while (not env.P[state][0][0][3] and step < max_iteration):
step += 1
action = self.which_action(prediction, Q[state], e) # which action to take
reward = env.P[state][action][0][2] # take action, get reward
next_state = env.P[state][action][0][1] # take action, get next state
diff = Q[next_state]
Q[state][action] = Q[state][action] + lr * (
reward + gamma * Q[next_state][np.argmax(Q[next_state])] - Q[state][action])
state = next_state
average_reward_Q[episode] += reward
if step != 0:
average_reward_Q[episode] = average_reward_Q[episode] / step
# Plot the learning process of both algorithms for training 1000 episodes.
plt.plot([i for i in range(num_episodes)], average_reward_Q, label="Q-Learning")
plt.legend()
plt.xlabel('episodes numbers')
plt.ylabel('average rewards')
plt.title('Q-Learning learning process')
plt.show()
# YOUR CODE ENDS HERE
############################
return Q
def SARSA(self, prediction, env, num_episodes, gamma, lr, e):
"""
Implement the SARSA algorithm following epsilon-greedy exploration.
Inputs:
env: OpenAI Gym environment
env.P: dictionary
P[state][action] are tuples of tuples tuples with (probability, nextstate, reward, terminal)
probability: float
nextstate: int
reward: float
terminal: boolean
env.nS: int
number of states
env.nA: int
number of actions
num_episodes: int
Number of episodes of training
gamma: float
Discount factor.
lr: float
Learning rate.
e: float
Epsilon value used in the epsilon-greedy method.
Outputs:
Q: numpy.ndarray
State-action values
"""
Q = np.zeros((env.nS, env.nA))
############################
# YOUR CODE STARTS HERE
max_iteration = 600
average_reward_SARSA = [0 for i in range(num_episodes)]
for episode in range(num_episodes):
state = random.randint(0, (env.nS - 1)) # randomly initialize start state
action = self.which_action(prediction, Q[state], e) # which action to take
step = 0
while (not env.P[state][0][0][3] and step < max_iteration):
step += 1
reward = env.P[state][action][0][2] # take action, get reward
next_state = env.P[state][action][0][1] # take action, get next state
next_action = self.which_action(prediction, Q[next_state], e) # which action to take
diff = [Q[next_state][a] - Q[state][action] for a in range(env.nA)]
Q[state][action] = Q[state][action] + lr * (reward + gamma * Q[next_state][next_action] - Q[state][action])
state = next_state
action = next_action
average_reward_SARSA[episode] += reward
if step != 0:
average_reward_SARSA[episode] = average_reward_SARSA[episode] / step
# Plot the learning process of both algorithms for training 1000 episodes.
plt.plot([i for i in range(num_episodes)], average_reward_SARSA, label="SARSA")
plt.legend()
plt.xlabel('episodes numbers')
plt.ylabel('average rewards')
plt.title('SARSA learning process')
plt.show()
# YOUR CODE ENDS HERE
############################
return Q
class Scheduler_Dynamic():
def epsilon_greedy(self, value, e, seed=None):
'''
Implement Epsilon-Greedy policy.
Inputs:
value: numpy ndarray
A vector of values of actions to choose from
e: float
Epsilon
seed: None or int
Assign an integer value to remove the randomness
Outputs:
action: int
Index of the chosen action
'''
assert len(value.shape) == 1
assert 0 <= e <= 1
if seed != None:
np.random.seed(seed)
############################
# YOUR CODE STARTS HERE
if random.random() > e: # prob = 1-e
action = np.argmax(value)
else: # prob = e
action = random.randrange(value.size)
# YOUR CODE ENDS HERE
############################
return action
def follow_prediction(self, prediction):
'''
choose action from Prediction with max prob.
Inputs:
prediction: float list
A list of predicted probability of actions to choose from
Outputs:
action: int
Index of the chosen action
'''
action = prediction.index(max(prediction))
return action
def which_action(self, prediction, value, e, seed=None):
'''
balance between greedy-policy and predicted distribution.
Inputs:
prediction: float list
A list of predicted probability of actions to choose from
value: numpy ndarray
A vector of values of actions to choose from
e: float
Epsilon
seed: None or int
Assign an integer value to remove the randomness
Outputs:
action: int
Index of the chosen action
'''
chance = 0
if random.random() > chance:
action = self.epsilon_greedy(value, e, seed) # choose action from State using e-greedy policy derived from Q
else:
action = self.follow_prediction(prediction) # choose action from Prediction with max prob
return action
def QLearning(self, prediction, env, num_episodes, gamma, lr, e):
"""
Implement the Q-learning algorithm following the epsilon-greedy exploration.
Inputs:
env: OpenAI Gym environment
env.P: dictionary
P[state][action] are tuples of tuples tuples with (probability, nextstate, reward, terminal)
probability: float
nextstate: int
reward: float
terminal: boolean
env.nS: int
number of states
env.nA: int
number of actions
num_episodes: int
Number of episodes of training
gamma: float
Discount factor.
lr: float
Learning rate.
e: float
Epsilon value used in the epsilon-greedy method.
Outputs:
Q: numpy.ndarray
"""
Q = np.zeros((env.nS, env.nA))
############################
# YOUR CODE STARTS HERE
max_iteration = 600
average_reward_Q = [0 for i in range(num_episodes)]
for episode in range(num_episodes):
state = random.randint(0, (env.nS - 1)) # randomly initialize start state
step = 0
while (step < max_iteration):
step += 1
action = self.which_action(prediction, Q[state], e) # which action to take
next_state, reward = env.trans(state)[action][0][1:3] # take action, get next state and reward
diff = Q[next_state]
Q[state][action] = Q[state][action] + lr * (
reward + gamma * Q[next_state][np.argmax(Q[next_state])] - Q[state][action])
state = next_state
average_reward_Q[episode] += reward
if step != 0:
average_reward_Q[episode] = average_reward_Q[episode] / step
# Plot the learning process of both algorithms for training 1000 episodes.
plt.plot([i for i in range(num_episodes)], average_reward_Q, label="Q-Learning")
plt.legend()
plt.xlabel('episodes numbers')
plt.ylabel('average rewards')
plt.title('Q-Learning learning process')
plt.show()
# YOUR CODE ENDS HERE
############################
return Q
def SARSA(self, prediction, env, num_episodes, gamma, lr, e):
"""
Implement the SARSA algorithm following epsilon-greedy exploration.
Inputs:
env: OpenAI Gym environment
env.trans(): dictionary
trans(state)[action] are tuples of tuples tuples with (probability, nextstate, reward, terminal)
probability: float
nextstate: int
reward: float
terminal: boolean
env.nS: int
number of states
env.nA: int
number of actions
num_episodes: int
Number of episodes of training
gamma: float
Discount factor.
lr: float
Learning rate.
e: float
Epsilon value used in the epsilon-greedy method.
Outputs:
Q: numpy.ndarray
State-action values
"""
Q = np.zeros((env.nS, env.nA))
############################
# YOUR CODE STARTS HERE
max_iteration = 600
average_reward_SARSA = [0 for i in range(num_episodes)]
for episode in range(num_episodes):
state = random.randint(0, (env.nS - 1)) # randomly initialize start state
action = self.which_action(prediction, Q[state], e) # which action to take
step = 0
while (step < max_iteration):
step += 1
next_state, reward = env.trans(state)[action][0][1:3] # take action, get next state and reward
next_action = self.which_action(prediction, Q[next_state], e) # which action to take
diff = [Q[next_state][a] - Q[state][action] for a in range(env.nA)]
Q[state][action] = Q[state][action] + lr * (reward + gamma * Q[next_state][next_action] - Q[state][action])
state = next_state
action = next_action
average_reward_SARSA[episode] += reward
if step != 0:
average_reward_SARSA[episode] = average_reward_SARSA[episode] / step
# Plot the learning process of both algorithms for training 1000 episodes.
plt.plot([i for i in range(num_episodes)], average_reward_SARSA, label="SARSA")
plt.legend()
plt.xlabel('episodes numbers')
plt.ylabel('average rewards')
plt.title('SARSA learning process')
plt.show()
# YOUR CODE ENDS HERE
############################
return Q
if __name__ == '__main__':
# test
import gym
from helpers import utils
from helpers import evaluation_utils
env = gym.make('Taxi-v3')
scheduler = Scheduler()
Q = scheduler.QLearning(env=env.env, num_episodes=1000, gamma=1, lr=0.1, e=0.1)
print('Action values:')
print(Q)
policy_estimate = utils.action_selection(Q)
evaluation_utils.render_episode(env, policy_estimate)
Q = scheduler.SARSA(env=env.env, num_episodes=1000, gamma=1, lr=0.1, e=0.1)
print('Action values:')
print(Q)
policy_estimate = utils.action_selection(Q)
evaluation_utils.render_episode(env, policy_estimate)
| 34.136465
| 123
| 0.540337
| 1,729
| 15,259
| 4.692886
| 0.099479
| 0.04067
| 0.020705
| 0.026621
| 0.953167
| 0.953167
| 0.953167
| 0.953167
| 0.950579
| 0.950579
| 0
| 0.011574
| 0.360181
| 15,259
| 447
| 124
| 34.136465
| 0.81942
| 0.376237
| 0
| 0.89697
| 0
| 0
| 0.038104
| 0
| 0
| 0
| 0
| 0
| 0.024242
| 1
| 0.060606
| false
| 0
| 0.036364
| 0
| 0.169697
| 0.024242
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
696b2c84c3650d44d65c193d3c953d243a83a508
| 122
|
py
|
Python
|
data/loader.py
|
hhio618/golem-dbscan
|
4f00f1af933c2cec9007080f07df43d6d3742036
|
[
"Apache-2.0"
] | null | null | null |
data/loader.py
|
hhio618/golem-dbscan
|
4f00f1af933c2cec9007080f07df43d6d3742036
|
[
"Apache-2.0"
] | null | null | null |
data/loader.py
|
hhio618/golem-dbscan
|
4f00f1af933c2cec9007080f07df43d6d3742036
|
[
"Apache-2.0"
] | 1
|
2021-11-13T13:49:37.000Z
|
2021-11-13T13:49:37.000Z
|
import os
import numpy as np
def load_patches():
return np.genfromtxt("data%spatches.txt" % os.sep, delimiter=',').T
| 20.333333
| 71
| 0.704918
| 19
| 122
| 4.473684
| 0.842105
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.147541
| 122
| 6
| 71
| 20.333333
| 0.817308
| 0
| 0
| 0
| 0
| 0
| 0.146341
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| true
| 0
| 0.5
| 0.25
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 1
| 1
| 0
|
0
| 7
|
c605a7e00fc54987fcef71e63543b64b0dec93e1
| 2,312
|
py
|
Python
|
2017/1_1.py
|
elmisback/aoc
|
ceac42bfc6bd925549860c133be2ad7862b9a427
|
[
"MIT"
] | null | null | null |
2017/1_1.py
|
elmisback/aoc
|
ceac42bfc6bd925549860c133be2ad7862b9a427
|
[
"MIT"
] | null | null | null |
2017/1_1.py
|
elmisback/aoc
|
ceac42bfc6bd925549860c133be2ad7862b9a427
|
[
"MIT"
] | null | null | null |
s = "951484596541141557316984781494999179679767747627132447513171626424561779662873157761442952212296685573452311263445163233493199211387838461594635666699422982947782623317333683978438123261326863959719777179228599319321138948466562743761584836184512984131635354116264899181952748224523953976485816295227945792555726121913344959454458829485471174415775278865324142733339789878929596275998341778873889585819916457474773252249179366599951454182657225576277834669222982366884688565754691273745959468648957498511326215934353963981471593984617554514519623785326888374742147318993423214834751785956958395133486656388454552769722562524415715913869946325551396638593398729938526424994348267935153555851552287223313383583669912941364344694725478258297498969517632881187394141593479818536194597976519254215932257653777455227477617957833273463216593642394215275314734914719726618923177918342664351954252667253233858814365351722938716621544226598956257753212248859258351363174782742336961425325381561575992352415514168782816173861148859478285339529151631429536819286498721812323861771638574344416879476255929929157912984151742613268754779685396125954595318134933366626594498249956388771723777242772654678448815844555372892574747735672368299826548254744359377667294764559334659523233146587568261116253155189394188696831691284711264872914348961888253386971994431352474717376878745948769171243242621219912378731755544387249443997382399714738351857752329367997665166956467544459817582915478514486541453932175598413554259672117364863112592515988922747164842668361925135551248923449968328385889877512156952725198691746951431443497496455761516486573476185321748523644283494181119399874324683922393547682851931435931276267766772798261563117954648576421741384823494187895272582575669685279986988357796138794326125852772995446355723211161523161886222562853546488411563473998633847953246787557146187696947831335722888918172961256498971868946237299523474841983527391489962357196433927251798764362493965894995592683296651874787384247326643886774966828657393717626591578321174832222434128817871765347278152799425565633521152643686221411129463425496425385516719682884157452772141585743166647191938727971366274357874252166721759"
A = list(map(int, s))
sum = 0
for i, e in enumerate(A):
if e == A[(i+1)%len(A)]: sum += A[i]
print sum
| 256.888889
| 2,202
| 0.974481
| 27
| 2,312
| 83.444444
| 0.62963
| 0.001775
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.96319
| 0.012976
| 2,312
| 8
| 2,203
| 289
| 0.024102
| 0
| 0
| 0
| 0
| 0
| 0.949827
| 0.949827
| 0
| 1
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.166667
| 1
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 11
|
c6559d9757bb500932df87b7a6809811eb6a7cc2
| 4,866
|
py
|
Python
|
tests/kubectl_test.py
|
enamrik/krogon
|
a41a10ed346b7198509929ed9ba1e9fcf778dc78
|
[
"MIT"
] | 1
|
2020-03-02T14:17:02.000Z
|
2020-03-02T14:17:02.000Z
|
tests/kubectl_test.py
|
enamrik/krogon
|
a41a10ed346b7198509929ed9ba1e9fcf778dc78
|
[
"MIT"
] | null | null | null |
tests/kubectl_test.py
|
enamrik/krogon
|
a41a10ed346b7198509929ed9ba1e9fcf778dc78
|
[
"MIT"
] | null | null | null |
import json
from krogon import gke_conn
from krogon.k8s.providers.gke_provider import GKEProvider
from tests.helpers.assert_diff import assert_same_dict
from tests.helpers.mock_os_system import MockOsSystem
from unittest.mock import patch
from krogon.config import config
from base64 import b64encode, b64decode
from tests.helpers.entry_mocks import mock_krogon_dsl
def test_gke_conn_can_get_project_id_if_exits():
def _run_dsl(_args):
project_id = "someId"
service_account_key = {"key": "someKey"}
service_account_b64 = b64encode(json.dumps(service_account_key).encode('utf-8')).decode('utf-8')
conf = config()
k_ctl = gke_conn(cluster_regex='.*', project_id=project_id, service_account_b64=service_account_b64)(conf)
provider: GKEProvider = k_ctl.get_provider()
assert provider.get_project_id() == project_id
mock_krogon_dsl(_run_dsl)
def test_gke_conn_can_get_project_id_if_exits_as_env_variable():
def _run_dsl(args):
os: MockOsSystem = args['os_system']
project_id = "someId"
os.mock_get_env('KG_PROJECT_ID', return_values=[project_id])
os.mock_get_env('KG_DELETE', return_values=["true"])
os.mock_get_env('KG_TEMPLATE', return_values=["false"])
service_account_key = {'key': 'someKey'}
service_account_b64 = b64encode(json.dumps(service_account_key).encode('utf-8')).decode('utf-8')
conf = config()
k_ctl = gke_conn(cluster_regex='.*', project_id=project_id, service_account_b64=service_account_b64)(conf)
provider: GKEProvider = k_ctl.get_provider()
assert provider.get_project_id() == project_id
mock_krogon_dsl(_run_dsl)
def test_gke_conn_can_raise_error_if_project_id_missing():
def _run_dsl(_args):
project_id = None
service_account_key = {"key": "someKey"}
service_account_b64 = b64encode(json.dumps(service_account_key).encode('utf-8')).decode('utf-8')
conf = config()
with patch('sys.exit', return_value="RaisedError"):
k_ctl = gke_conn(cluster_regex='.*', project_id=project_id, service_account_b64=service_account_b64)(conf)
provider: GKEProvider = k_ctl.get_provider()
assert provider.get_project_id() == "RaisedError"
mock_krogon_dsl(_run_dsl)
def test_gke_conn_can_get_service_account_if_exits():
def _run_dsl(_args):
project_id = "someId"
service_account_key = {"key": "someKey"}
service_account_b64 = b64encode(json.dumps(service_account_key).encode('utf-8')).decode('utf-8')
conf = config()
k_ctl = gke_conn(cluster_regex='.*', project_id=project_id, service_account_b64=service_account_b64)(conf)
provider: GKEProvider = k_ctl.get_provider()
assert_same_dict(
provider.get_service_account_info(),
service_account_key)
mock_krogon_dsl(_run_dsl)
def test_gke_conn_can_get_service_account_if_exits_as_env_variable():
def _run_dsl(args):
os: MockOsSystem = args['os_system']
project_id = "someId"
service_account_key = {"key": "someKey"}
service_account_b64 = b64encode(json.dumps(service_account_key).encode('utf-8')).decode('utf-8')
os.mock_get_env('KG_SERVICE_ACCOUNT_B64', return_values=[service_account_b64])
os.mock_get_env('KG_DELETE', return_values=["true"])
os.mock_get_env('KG_TEMPLATE', return_values=["false"])
conf = config()
k_ctl = gke_conn(cluster_regex='.*', project_id=project_id)(conf)
provider: GKEProvider = k_ctl.get_provider()
assert_same_dict(
provider.get_service_account_info(),
service_account_key)
mock_krogon_dsl(_run_dsl)
def test_gke_conn_can_raise_error_if_service_account_missing():
def _run_dsl(_args):
project_id = "someProjectId"
conf = config()
with patch('sys.exit', return_value=b64encode('{"error": "RaisedError"}'.encode('utf-8')).decode('utf-8')):
k_ctl = gke_conn(cluster_regex='.*', project_id=project_id)(conf)
provider: GKEProvider = k_ctl.get_provider()
assert provider.get_service_account_info()['error'] == 'RaisedError'
mock_krogon_dsl(_run_dsl)
def test_gke_conn_can_get_service_account_info_if_exits():
def _run_dsl(_args):
project_id = "someId"
service_account_key = {"key": "someKey"}
service_account_b64 = b64encode(json.dumps(service_account_key).encode('utf-8')).decode('utf-8')
conf = config()
k_ctl = gke_conn(cluster_regex='.*', project_id=project_id, service_account_b64=service_account_b64)(conf)
provider: GKEProvider = k_ctl.get_provider()
assert_same_dict(
provider.get_service_account_info(),
service_account_key)
mock_krogon_dsl(_run_dsl)
| 38.314961
| 118
| 0.699548
| 655
| 4,866
| 4.738931
| 0.116031
| 0.184923
| 0.098582
| 0.052191
| 0.849549
| 0.834729
| 0.828286
| 0.809601
| 0.788982
| 0.788982
| 0
| 0.017938
| 0.186601
| 4,866
| 126
| 119
| 38.619048
| 0.766296
| 0
| 0
| 0.731183
| 0
| 0
| 0.077271
| 0.004521
| 0
| 0
| 0
| 0
| 0.086022
| 1
| 0.150538
| false
| 0
| 0.096774
| 0
| 0.247312
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
d6a00332aaa6a33cfdf44a8861b624766d4a68ad
| 19,855
|
py
|
Python
|
python/swagger_client/api/services_api.py
|
alextselegidis/easyappointments-sdk
|
8ba969dc1221ea614b70d4d52313f20fc85df1e1
|
[
"CC-BY-3.0"
] | null | null | null |
python/swagger_client/api/services_api.py
|
alextselegidis/easyappointments-sdk
|
8ba969dc1221ea614b70d4d52313f20fc85df1e1
|
[
"CC-BY-3.0"
] | null | null | null |
python/swagger_client/api/services_api.py
|
alextselegidis/easyappointments-sdk
|
8ba969dc1221ea614b70d4d52313f20fc85df1e1
|
[
"CC-BY-3.0"
] | null | null | null |
# coding: utf-8
"""
Easy!Appointments API
These are the OpenAPI specs that describe the REST API of Easy!Appointments. # noqa: E501
OpenAPI spec version: 1.0.0
Contact: info@easyappointments.org
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from swagger_client.api_client import ApiClient
class ServicesApi(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
Ref: https://github.com/swagger-api/swagger-codegen
"""
def __init__(self, api_client=None):
if api_client is None:
api_client = ApiClient()
self.api_client = api_client
def services_get(self, **kwargs): # noqa: E501
"""Get all services # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.services_get(async_req=True)
>>> result = thread.get()
:param async_req bool
:param int page:
:param int length:
:param str sort:
:param str q:
:param str fields:
:param str _with:
:return: ServiceCollection
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.services_get_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.services_get_with_http_info(**kwargs) # noqa: E501
return data
def services_get_with_http_info(self, **kwargs): # noqa: E501
"""Get all services # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.services_get_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:param int page:
:param int length:
:param str sort:
:param str q:
:param str fields:
:param str _with:
:return: ServiceCollection
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['page', 'length', 'sort', 'q', 'fields', '_with'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method services_get" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
if 'page' in params:
query_params.append(('page', params['page'])) # noqa: E501
if 'length' in params:
query_params.append(('length', params['length'])) # noqa: E501
if 'sort' in params:
query_params.append(('sort', params['sort'])) # noqa: E501
if 'q' in params:
query_params.append(('q', params['q'])) # noqa: E501
if 'fields' in params:
query_params.append(('fields', params['fields'])) # noqa: E501
if '_with' in params:
query_params.append(('with', params['_with'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['BasicAuth', 'BearerToken'] # noqa: E501
return self.api_client.call_api(
'/services', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='ServiceCollection', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def services_post(self, body, **kwargs): # noqa: E501
"""Create a service # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.services_post(body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param ServicePayload body: (required)
:return: ServiceRecord
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.services_post_with_http_info(body, **kwargs) # noqa: E501
else:
(data) = self.services_post_with_http_info(body, **kwargs) # noqa: E501
return data
def services_post_with_http_info(self, body, **kwargs): # noqa: E501
"""Create a service # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.services_post_with_http_info(body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param ServicePayload body: (required)
:return: ServiceRecord
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['body'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method services_post" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'body' is set
if ('body' not in params or
params['body'] is None):
raise ValueError("Missing the required parameter `body` when calling `services_post`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'body' in params:
body_params = params['body']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['BasicAuth', 'BearerToken'] # noqa: E501
return self.api_client.call_api(
'/services', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='ServiceRecord', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def services_service_id_delete(self, service_id, **kwargs): # noqa: E501
"""Delete a service # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.services_service_id_delete(service_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param int service_id: (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.services_service_id_delete_with_http_info(service_id, **kwargs) # noqa: E501
else:
(data) = self.services_service_id_delete_with_http_info(service_id, **kwargs) # noqa: E501
return data
def services_service_id_delete_with_http_info(self, service_id, **kwargs): # noqa: E501
"""Delete a service # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.services_service_id_delete_with_http_info(service_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param int service_id: (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['service_id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method services_service_id_delete" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'service_id' is set
if ('service_id' not in params or
params['service_id'] is None):
raise ValueError("Missing the required parameter `service_id` when calling `services_service_id_delete`") # noqa: E501
collection_formats = {}
path_params = {}
if 'service_id' in params:
path_params['serviceId'] = params['service_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['BasicAuth', 'BearerToken'] # noqa: E501
return self.api_client.call_api(
'/services/{serviceId}', 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None, # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def services_service_id_get(self, service_id, **kwargs): # noqa: E501
"""Get a service # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.services_service_id_get(service_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param int service_id: (required)
:return: ServiceRecord
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.services_service_id_get_with_http_info(service_id, **kwargs) # noqa: E501
else:
(data) = self.services_service_id_get_with_http_info(service_id, **kwargs) # noqa: E501
return data
def services_service_id_get_with_http_info(self, service_id, **kwargs): # noqa: E501
"""Get a service # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.services_service_id_get_with_http_info(service_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param int service_id: (required)
:return: ServiceRecord
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['service_id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method services_service_id_get" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'service_id' is set
if ('service_id' not in params or
params['service_id'] is None):
raise ValueError("Missing the required parameter `service_id` when calling `services_service_id_get`") # noqa: E501
collection_formats = {}
path_params = {}
if 'service_id' in params:
path_params['serviceId'] = params['service_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['BasicAuth', 'BearerToken'] # noqa: E501
return self.api_client.call_api(
'/services/{serviceId}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='ServiceRecord', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def services_service_id_put(self, body, service_id, **kwargs): # noqa: E501
"""Update a service # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.services_service_id_put(body, service_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param ServicePayload body: (required)
:param int service_id: (required)
:return: ServiceRecord
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.services_service_id_put_with_http_info(body, service_id, **kwargs) # noqa: E501
else:
(data) = self.services_service_id_put_with_http_info(body, service_id, **kwargs) # noqa: E501
return data
def services_service_id_put_with_http_info(self, body, service_id, **kwargs): # noqa: E501
"""Update a service # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.services_service_id_put_with_http_info(body, service_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param ServicePayload body: (required)
:param int service_id: (required)
:return: ServiceRecord
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['body', 'service_id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method services_service_id_put" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'body' is set
if ('body' not in params or
params['body'] is None):
raise ValueError("Missing the required parameter `body` when calling `services_service_id_put`") # noqa: E501
# verify the required parameter 'service_id' is set
if ('service_id' not in params or
params['service_id'] is None):
raise ValueError("Missing the required parameter `service_id` when calling `services_service_id_put`") # noqa: E501
collection_formats = {}
path_params = {}
if 'service_id' in params:
path_params['serviceId'] = params['service_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'body' in params:
body_params = params['body']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['BasicAuth', 'BearerToken'] # noqa: E501
return self.api_client.call_api(
'/services/{serviceId}', 'PUT',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='ServiceRecord', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
| 37.391714
| 131
| 0.602266
| 2,262
| 19,855
| 5.022546
| 0.074713
| 0.055453
| 0.037409
| 0.031687
| 0.93284
| 0.914796
| 0.907315
| 0.893407
| 0.888214
| 0.87994
| 0
| 0.015636
| 0.304256
| 19,855
| 530
| 132
| 37.462264
| 0.80679
| 0.30209
| 0
| 0.768421
| 0
| 0
| 0.181953
| 0.044451
| 0
| 0
| 0
| 0
| 0
| 1
| 0.038596
| false
| 0
| 0.014035
| 0
| 0.108772
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
d6c52cce8668de87d7506656273e4762c8a397c3
| 38
|
py
|
Python
|
budgetkey_list_manager/__init__.py
|
OpenBudget/budgetkey-list-manager
|
63f144e08117b2f044b6e92dece57d7227ea4d73
|
[
"MIT"
] | 5
|
2017-07-08T06:16:33.000Z
|
2018-09-03T04:04:00.000Z
|
flowmanager/__init__.py
|
datopian/specstore
|
d605a9d4d796a9059ad91a3fc17f6565b279a852
|
[
"MIT"
] | 35
|
2017-07-25T07:36:13.000Z
|
2018-11-02T06:04:42.000Z
|
flowmanager/__init__.py
|
datahq/specstore
|
d605a9d4d796a9059ad91a3fc17f6565b279a852
|
[
"MIT"
] | 1
|
2017-07-03T16:10:54.000Z
|
2017-07-03T16:10:54.000Z
|
from .blueprint import make_blueprint
| 19
| 37
| 0.868421
| 5
| 38
| 6.4
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.105263
| 38
| 1
| 38
| 38
| 0.941176
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 1
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 1
|
0
| 7
|
d6c8ca81c2fd2b09e27a407f46b17168bba80423
| 30,652
|
py
|
Python
|
DQM/RPCMonitorClient/test/rpcTier0Source_cfg.py
|
ckamtsikis/cmssw
|
ea19fe642bb7537cbf58451dcf73aa5fd1b66250
|
[
"Apache-2.0"
] | 852
|
2015-01-11T21:03:51.000Z
|
2022-03-25T21:14:00.000Z
|
DQM/RPCMonitorClient/test/rpcTier0Source_cfg.py
|
ckamtsikis/cmssw
|
ea19fe642bb7537cbf58451dcf73aa5fd1b66250
|
[
"Apache-2.0"
] | 30,371
|
2015-01-02T00:14:40.000Z
|
2022-03-31T23:26:05.000Z
|
DQM/RPCMonitorClient/test/rpcTier0Source_cfg.py
|
ckamtsikis/cmssw
|
ea19fe642bb7537cbf58451dcf73aa5fd1b66250
|
[
"Apache-2.0"
] | 3,240
|
2015-01-02T05:53:18.000Z
|
2022-03-31T17:24:21.000Z
|
import FWCore.ParameterSet.Config as cms
process = cms.Process("rpcTier0SourceProcess")
################# Input ########################
readFiles = cms.untracked.vstring()
secFiles = cms.untracked.vstring()
process.source = cms.Source ("PoolSource",fileNames = readFiles, secondaryFileNames = secFiles)
readFiles.extend( [
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/FCA6CCE5-F2C2-DE11-A1BB-000423D9A212.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/FC59F5F3-C7C2-DE11-AB94-0030487A1990.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/FC394E44-DAC2-DE11-919E-001617C3B6C6.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/FC083776-E1C2-DE11-91E8-001617E30D12.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/F89E64F2-BEC2-DE11-B984-003048D375AA.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/F623F5C4-BAC2-DE11-BF8E-001D09F24FEC.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/F2415DA2-E7C2-DE11-BA54-000423D98B6C.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/F2313D20-FEC2-DE11-AFB3-000423D94990.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/F04E02BA-CFC2-DE11-B168-000423D98834.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/F0475EDA-EBC2-DE11-BCE5-000423D998BA.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/EEF6D8F3-E6C2-DE11-AA4C-000423D99E46.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/EEE2407C-F1C2-DE11-A4FC-000423D991F0.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/ECE73220-FEC2-DE11-A7F9-000423D6006E.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/EC69873D-D3C2-DE11-8CB0-0030487A1990.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/EC626D04-E2C2-DE11-9E55-001D09F2512C.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/EA4E255B-D5C2-DE11-B23B-000423D94524.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/E89F19A5-D4C2-DE11-97EA-0030487A1FEC.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/E885472E-D8C2-DE11-AFC4-000423D9989E.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/E61B1A33-D6C2-DE11-A3C9-003048D37580.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/E4DBF8B2-CDC2-DE11-8F0D-001D09F2906A.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/E46E74FB-DAC2-DE11-8756-003048D3750A.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/E2D59FEB-B9C2-DE11-BA6D-001D09F2B2CF.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/E2A34759-C2C2-DE11-9986-001D09F25041.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/E2959B5D-B4C2-DE11-B118-001D09F24353.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/E251AE30-CCC2-DE11-A0A1-000423D98EC8.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/E20DF622-D1C2-DE11-AA54-001D09F24DDF.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/E09CB035-F9C2-DE11-B364-000423D94A20.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/E094A157-D5C2-DE11-BD15-001617C3B6DE.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/E07875FD-F4C2-DE11-8470-000423D9880C.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/DEC1F652-E1C2-DE11-ADA2-001617DBCF6A.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/DEB4C428-EBC2-DE11-9EC5-000423D98800.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/DC1F764A-B4C2-DE11-92D3-001D09F290CE.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/DA0D8A39-C0C2-DE11-A936-000423D98DC4.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/D8E547A8-E0C2-DE11-908F-001D09F25208.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/D8D555DF-D8C2-DE11-A0A9-000423D94E70.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/D8BB30CA-F0C2-DE11-AC96-000423D98FBC.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/D8B5B3D1-E4C2-DE11-841B-000423D986A8.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/D8A5D8F8-DFC2-DE11-ACFD-001D09F2905B.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/D8771A8F-B3C2-DE11-A49A-001D09F2546F.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/D81130B1-F5C2-DE11-906F-000423D99CEE.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/D6F2D788-BFC2-DE11-B8BD-001D09F24E39.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/D68DC430-CCC2-DE11-8E8F-000423D99EEE.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/D6856365-F6C2-DE11-828D-000423D98950.root',
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'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/D0379158-E8C2-DE11-9B69-000423D98930.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/CEF0E5EA-F4C2-DE11-9C58-000423D991D4.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/CEE83EC4-CAC2-DE11-9323-000423D99CEE.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/CE914214-DDC2-DE11-936A-000423D6C8EE.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/CE3C47F2-C7C2-DE11-B92E-000423D99CEE.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/CE295014-DDC2-DE11-985A-000423D98B08.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/CCABF0BB-E2C2-DE11-BBAB-001617E30F48.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/CC7B593A-D6C2-DE11-8DD4-001D09F29849.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/CC78FCBD-E9C2-DE11-A81F-000423D987E0.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/C86BDA0D-C3C2-DE11-BB6C-0019B9F705A3.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/C828068F-B3C2-DE11-B273-001D09F27003.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/C823F2B0-F5C2-DE11-84BE-000423D98634.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/C801FEEF-CCC2-DE11-A6C9-003048D373AE.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/C6533358-D5C2-DE11-8006-001617C3B6C6.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/C6276566-D0C2-DE11-B9ED-0019DB29C614.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/C411BB02-E2C2-DE11-9F86-001D09F23C73.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/C0E02F24-D6C2-DE11-9DD7-001617C3B6DE.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/C07BB0F8-CCC2-DE11-B0C4-003048D37456.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/C0798AA6-BAC2-DE11-BC3A-001D09F24F65.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/C03541EF-F4C2-DE11-8A15-000423D99896.root',
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'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/BCFF2DE0-D8C2-DE11-903D-001617C3B6DE.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/BC703366-E1C2-DE11-B562-001D09F24DDF.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/BA708659-E8C2-DE11-9579-000423D99AAA.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/BA47BE0B-F0C2-DE11-B746-000423D8FA38.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/BA3CFE66-F6C2-DE11-A3FA-000423D98930.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/BA0C97CE-E4C2-DE11-B0CE-000423D98804.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/B8D080AB-D4C2-DE11-9E3C-001617E30D52.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/B885A819-B7C2-DE11-9E65-001D09F29146.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/B850E01F-D1C2-DE11-AAAF-001D09F25401.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/B84D0C7A-F8C2-DE11-BF05-000423D98950.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/B8331907-E2C2-DE11-B047-001D09F25456.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/B6433E84-D2C2-DE11-B381-000423D6C8E6.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/B4E3C0AA-DBC2-DE11-8D4F-000423D987FC.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/B42AEDEC-BCC2-DE11-88A5-001D09F290CE.root',
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'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/18EB81E7-F9C2-DE11-9B36-000423D9A2AE.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/18A4D704-E2C2-DE11-B77B-001D09F241B9.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/1875E2CF-D1C2-DE11-9CBE-000423D99BF2.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/162C932F-DFC2-DE11-8D56-000423D94534.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/160F5695-ECC2-DE11-9295-000423D98800.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/16069AB1-DBC2-DE11-AF43-000423D98B08.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/14AB2D4C-CEC2-DE11-BFB4-003048D2C0F0.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/148BF98C-D2C2-DE11-B57A-000423D98EC8.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/145997CA-DDC2-DE11-81D3-000423D944F0.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/128398AC-F5C2-DE11-A296-000423D6CA42.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/124F66F5-CCC2-DE11-867E-003048D2BED6.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/109748FB-DAC2-DE11-88F5-000423D94524.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/106E6C43-EDC2-DE11-8205-000423D94908.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/0CDFAF05-BCC2-DE11-A818-000423D99394.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/0CDC89FB-DAC2-DE11-B825-000423D998BA.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/0C5324B9-CFC2-DE11-B83C-001D09F29538.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/0ABCA514-F5C2-DE11-BE62-000423D944DC.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/0AA0CF63-E3C2-DE11-A539-000423D98930.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/087186DA-EBC2-DE11-A7F9-000423D9A212.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/080E8524-C5C2-DE11-9194-000423D986A8.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/06BF2310-F0C2-DE11-87C5-000423D987E0.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/04C5C4A3-C1C2-DE11-A82F-0019B9F709A4.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/04AC6AB8-CFC2-DE11-A451-000423D6B444.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/0423630A-C3C2-DE11-B403-001D09F2AD7F.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/00B844A7-E0C2-DE11-8A95-0019B9F72CE5.root',
'/store/data/Commissioning09/Cosmics/RECO/v9/000/118/367/005A0AA9-E0C2-DE11-BE1B-001D09F2512C.root'] );
secFiles.extend( [
] )
process.maxEvents = cms.untracked.PSet( input = cms.untracked.int32(50000))
################# Geometry ######################
process.load("Geometry.MuonCommonData.muonIdealGeometryXML_cfi")
process.load("Geometry.RPCGeometry.rpcGeometry_cfi")
process.load("Geometry.MuonNumbering.muonNumberingInitialization_cfi")
process.load("CondCore.DBCommon.CondDBSetup_cfi")
################# RPC Unpacker ######################
process.rpcunpacker = cms.EDProducer("RPCUnpackingModule",
InputLabel = cms.untracked.InputTag("source"),
doSynchro = cms.bool(False)
)
process.load("EventFilter.RPCRawToDigi.RPCSQLiteCabling_cfi")
################# RPC Rec Hits ######################
process.load("RecoLocalMuon.RPCRecHit.rpcRecHits_cfi")
process.rpcRecHits.rpcDigiLabel = 'rpcunpacker'
################# DQM Cetral Modules ###################
process.load("DQMServices.Core.DQM_cfg")
process.load("DQMServices.Components.DQMEnvironment_cfi")
process.dqmEnv.subSystemFolder = 'RPC'
process.dqmSaver.convention = 'Online'
############# Message Logger ####################
process.MessageLogger = cms.Service("MessageLogger",
cerr = cms.untracked.PSet(
enable = cms.untracked.bool(False)
),
cout = cms.untracked.PSet(
enable = cms.untracked.bool(True),
threshold = cms.untracked.string('INFO')
),
debugModules = cms.untracked.vstring('*')
)
############## Output module ##################*_MEtoEDMConverter_*_*
process.out = cms.OutputModule("PoolOutputModule",
fileName = cms.untracked.string('out.root'),
outputCommands = cms.untracked.vstring("keep *_MEtoEDMConverter_*_*")
)
process.load("DQMServices.Components.EDMtoMEConverter_cfi")
process.load("DQMServices.Components.MEtoEDMConverter_cfi")
process.load("DQM.RPCMonitorClient.RPCTier0Client_cff")
process.load("DQM.RPCMonitorClient.RPCTier0Source_cff")
################# Path ###########################
process.p = cms.Path(process.rpcTier0Source*process.MEtoEDMConverter*process.EDMtoMEConverter*process.rpcTier0Client*process.dqmSaver)
#process.outpath = cms.EndPath(process.out)
#*process.EDMtoMEConverter*process.rpcTier0Client*process.dqmSaver)
| 89.364431
| 134
| 0.751925
| 4,130
| 30,652
| 5.576271
| 0.204358
| 0.101607
| 0.270951
| 0.349978
| 0.664438
| 0.664438
| 0.659314
| 0.656014
| 0.656014
| 0.654017
| 0
| 0.300406
| 0.076569
| 30,652
| 342
| 135
| 89.625731
| 0.513231
| 0.007634
| 0
| 0.006601
| 0
| 0.858086
| 0.858419
| 0.855065
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.0033
| 0
| 0.0033
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
d6ccfdf5739933432bc120e85172c968deff2d98
| 233
|
py
|
Python
|
ml-agents-envs/mlagents_envs/side_channel/__init__.py
|
bobcy2015/ml-agents
|
5d02292ad889f1884fa98bd92f127f17cbfe0112
|
[
"Apache-2.0"
] | 5
|
2019-02-01T04:53:19.000Z
|
2021-02-17T21:27:56.000Z
|
ml-agents-envs/mlagents_envs/side_channel/__init__.py
|
bobcy2015/ml-agents
|
5d02292ad889f1884fa98bd92f127f17cbfe0112
|
[
"Apache-2.0"
] | 5
|
2020-09-26T01:23:05.000Z
|
2022-02-10T01:58:20.000Z
|
ml-agents-envs/mlagents_envs/side_channel/__init__.py
|
bobcy2015/ml-agents
|
5d02292ad889f1884fa98bd92f127f17cbfe0112
|
[
"Apache-2.0"
] | 5
|
2020-04-15T10:46:39.000Z
|
2020-05-06T20:52:03.000Z
|
from mlagents_envs.side_channel.incoming_message import IncomingMessage # noqa
from mlagents_envs.side_channel.outgoing_message import OutgoingMessage # noqa
from mlagents_envs.side_channel.side_channel import SideChannel # noqa
| 46.6
| 79
| 0.866953
| 30
| 233
| 6.433333
| 0.433333
| 0.227979
| 0.248705
| 0.310881
| 0.46114
| 0.321244
| 0
| 0
| 0
| 0
| 0
| 0
| 0.094421
| 233
| 4
| 80
| 58.25
| 0.914692
| 0.060086
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
ba38851d8d5656515286c8c8b9256173c4019b85
| 15,154
|
py
|
Python
|
scale/storage/test/messages/test_delete_files.py
|
kaydoh/scale
|
1b6a3b879ffe83e10d3b9d9074835a4c3bf476ee
|
[
"Apache-2.0"
] | 121
|
2015-11-18T18:15:33.000Z
|
2022-03-10T01:55:00.000Z
|
scale/storage/test/messages/test_delete_files.py
|
kaydoh/scale
|
1b6a3b879ffe83e10d3b9d9074835a4c3bf476ee
|
[
"Apache-2.0"
] | 1,415
|
2015-12-23T23:36:04.000Z
|
2022-01-07T14:10:09.000Z
|
scale/storage/test/messages/test_delete_files.py
|
kaydoh/scale
|
1b6a3b879ffe83e10d3b9d9074835a4c3bf476ee
|
[
"Apache-2.0"
] | 66
|
2015-12-03T20:38:56.000Z
|
2020-07-27T15:28:11.000Z
|
from __future__ import unicode_literals
import os
import django
from django.test import TestCase
from job.test import utils as job_test_utils
from product.models import FileAncestryLink
from product.test import utils as product_test_utils
from storage.messages.delete_files import create_delete_files_messages, DeleteFiles
from storage.models import PurgeResults, ScaleFile
from storage.test import utils as storage_test_utils
import trigger.test.utils as trigger_test_utils
class TestDeleteFiles(TestCase):
def setUp(self):
django.setup()
self.source_file = storage_test_utils.create_file(file_type='SOURCE')
trigger = trigger_test_utils.create_trigger_event()
PurgeResults.objects.create(source_file_id=self.source_file.id, trigger_event=trigger)
def test_json(self):
"""Tests coverting a DeleteFiles message to and from JSON"""
job = job_test_utils.create_job()
job_exe = job_test_utils.create_job_exe(job=job)
trigger = trigger_test_utils.create_trigger_event()
PurgeResults.objects.create(source_file_id=self.source_file.id, trigger_event=trigger)
file_path_1 = os.path.join('my_dir', 'my_file.txt')
file_path_2 = os.path.join('my_dir', 'my_file.json')
file_1 = storage_test_utils.create_file(file_path=file_path_1, job_exe=job_exe)
file_2 = storage_test_utils.create_file(file_path=file_path_2, job_exe=job_exe)
# Add files to message
message = DeleteFiles()
message.purge = True
message.job_id = job.id
message.trigger_id = trigger.id
message.source_file_id = self.source_file.id
if message.can_fit_more():
message.add_file(file_1.id)
if message.can_fit_more():
message.add_file(file_2.id)
# Convert message to JSON and back, and then execute
message_json_dict = message.to_json()
new_message = DeleteFiles.from_json(message_json_dict)
result = new_message.execute()
self.assertTrue(result)
# Both files should have been deleted
self.assertEqual(ScaleFile.objects.filter(id=file_1.id).count(), 0)
self.assertEqual(ScaleFile.objects.filter(id=file_2.id).count(), 0)
# One new job for create_purge_jobs_messages
self.assertEqual(len(new_message.new_messages), 1)
def test_execute(self):
"""Tests calling DeleteFile.execute() successfully"""
job = job_test_utils.create_job()
job_exe = job_test_utils.create_job_exe(job=job)
trigger = trigger_test_utils.create_trigger_event()
PurgeResults.objects.create(source_file_id=self.source_file.id, trigger_event=trigger)
file_path_1 = os.path.join('my_dir', 'my_file.txt')
file_path_2 = os.path.join('my_dir', 'my_file1.json')
file_path_3 = os.path.join('my_dir', 'my_file2.json')
file_path_4 = os.path.join('my_dir', 'my_file3.json')
file_1 = storage_test_utils.create_file(file_path=file_path_1, job_exe=job_exe)
file_2 = storage_test_utils.create_file(file_path=file_path_2, job_exe=job_exe)
file_3 = storage_test_utils.create_file(file_path=file_path_3, job_exe=job_exe)
file_4 = storage_test_utils.create_file(file_path=file_path_4, job_exe=job_exe)
# Add files to message
message = DeleteFiles()
message.purge = False
message.job_id = job.id
message.trigger_id = trigger.id
message.source_file_id = self.source_file.id
if message.can_fit_more():
message.add_file(file_1.id)
if message.can_fit_more():
message.add_file(file_2.id)
if message.can_fit_more():
message.add_file(file_3.id)
if message.can_fit_more():
message.add_file(file_4.id)
# Execute message
result = message.execute()
self.assertTrue(result)
# All files should have marked as deleted
self.assertTrue(ScaleFile.objects.filter(id=file_1.id).values('is_deleted'))
self.assertTrue(ScaleFile.objects.filter(id=file_2.id).values('is_deleted'))
self.assertTrue(ScaleFile.objects.filter(id=file_3.id).values('is_deleted'))
self.assertTrue(ScaleFile.objects.filter(id=file_4.id).values('is_deleted'))
file_5 = storage_test_utils.create_file(file_path=file_path_1)
file_6 = storage_test_utils.create_file(file_path=file_path_2)
file_7 = storage_test_utils.create_file(file_path=file_path_3)
file_8 = storage_test_utils.create_file(file_path=file_path_4)
# Add files to message
message = DeleteFiles()
message.purge = True
message.job_id = job.id
message.trigger_id = trigger.id
message.source_file_id = self.source_file.id
if message.can_fit_more():
message.add_file(file_5.id)
if message.can_fit_more():
message.add_file(file_6.id)
if message.can_fit_more():
message.add_file(file_7.id)
if message.can_fit_more():
message.add_file(file_8.id)
# Execute message
result = message.execute()
self.assertTrue(result)
# All files should have been purged
self.assertEqual(ScaleFile.objects.filter(id=file_5.id).count(), 0)
self.assertEqual(ScaleFile.objects.filter(id=file_6.id).count(), 0)
self.assertEqual(ScaleFile.objects.filter(id=file_7.id).count(), 0)
self.assertEqual(ScaleFile.objects.filter(id=file_8.id).count(), 0)
def test_create_message(self):
"""
Tests calling the create message function for DeleteFiles
"""
job = job_test_utils.create_job()
job_exe = job_test_utils.create_job_exe(job=job)
trigger = trigger_test_utils.create_trigger_event()
file_path_1 = os.path.join('my_dir', 'my_file.txt')
file_path_2 = os.path.join('my_dir', 'my_file1.json')
file_path_3 = os.path.join('my_dir', 'my_file2.json')
file_path_4 = os.path.join('my_dir', 'my_file3.json')
file_1 = storage_test_utils.create_file(file_path=file_path_1, job_exe=job_exe)
file_2 = storage_test_utils.create_file(file_path=file_path_2, job_exe=job_exe)
file_3 = storage_test_utils.create_file(file_path=file_path_3, job_exe=job_exe)
file_4 = storage_test_utils.create_file(file_path=file_path_4, job_exe=job_exe)
files = [file_1, file_2, file_3, file_4]
# No exception is success
create_delete_files_messages(files=files, job_id=job.id, trigger_id=trigger.id,
source_file_id=self.source_file.id, purge=True)
def test_execute_check_results(self):
"""Tests calling DeleteFile.execute() successfully"""
# Create PurgeResults entry
source_file = storage_test_utils.create_file()
trigger = trigger_test_utils.create_trigger_event()
PurgeResults.objects.create(source_file_id=source_file.id, trigger_event=trigger)
self.assertEqual(PurgeResults.objects.values_list('num_products_deleted', flat=True).get(
source_file_id=source_file.id), 0)
job = job_test_utils.create_job()
job_exe = job_test_utils.create_job_exe(job=job)
file_path_1 = os.path.join('my_dir', 'my_file.txt')
file_path_2 = os.path.join('my_dir', 'my_file1.json')
file_path_3 = os.path.join('my_dir', 'my_file2.json')
file_path_4 = os.path.join('my_dir', 'my_file3.json')
file_1 = storage_test_utils.create_file(file_path=file_path_1, job_exe=job_exe)
file_2 = storage_test_utils.create_file(file_path=file_path_2, job_exe=job_exe)
file_3 = storage_test_utils.create_file(file_path=file_path_3, job_exe=job_exe)
file_4 = storage_test_utils.create_file(file_path=file_path_4, job_exe=job_exe)
# Add files to message
message = DeleteFiles()
message.purge = True
message.job_id = job.id
message.source_file_id = source_file.id
message.trigger_id = trigger.id
if message.can_fit_more():
message.add_file(file_1.id)
if message.can_fit_more():
message.add_file(file_2.id)
if message.can_fit_more():
message.add_file(file_3.id)
if message.can_fit_more():
message.add_file(file_4.id)
# Execute message
result = message.execute()
self.assertTrue(result)
# Check results are accurate
self.assertEqual(PurgeResults.objects.values_list('num_products_deleted', flat=True).get(
source_file_id=source_file.id), 4)
def test_execute_force_stop(self):
"""Tests calling DeleteFile.execute() successfully"""
# Create PurgeResults entry
source_file = storage_test_utils.create_file()
trigger = trigger_test_utils.create_trigger_event()
PurgeResults.objects.create(source_file_id=source_file.id, trigger_event=trigger, force_stop_purge=True)
self.assertEqual(PurgeResults.objects.values_list('num_products_deleted', flat=True).get(
source_file_id=source_file.id), 0)
job = job_test_utils.create_job()
job_exe = job_test_utils.create_job_exe(job=job)
file_path_1 = os.path.join('my_dir', 'my_file.txt')
file_path_2 = os.path.join('my_dir', 'my_file1.json')
file_path_3 = os.path.join('my_dir', 'my_file2.json')
file_path_4 = os.path.join('my_dir', 'my_file3.json')
file_1 = storage_test_utils.create_file(file_path=file_path_1, job_exe=job_exe)
file_2 = storage_test_utils.create_file(file_path=file_path_2, job_exe=job_exe)
file_3 = storage_test_utils.create_file(file_path=file_path_3, job_exe=job_exe)
file_4 = storage_test_utils.create_file(file_path=file_path_4, job_exe=job_exe)
# Add files to message
message = DeleteFiles()
message.purge = True
message.job_id = job.id
message.source_file_id = source_file.id
message.trigger_id = trigger.id
if message.can_fit_more():
message.add_file(file_1.id)
if message.can_fit_more():
message.add_file(file_2.id)
if message.can_fit_more():
message.add_file(file_3.id)
if message.can_fit_more():
message.add_file(file_4.id)
# Execute message
result = message.execute()
self.assertTrue(result)
# Check results are accurate
self.assertEqual(PurgeResults.objects.values_list('num_products_deleted', flat=True).get(
source_file_id=source_file.id), 0)
def test_execute_check_results_no_purge(self):
"""Tests calling DeleteFile.execute() successfully"""
# Create PurgeResults entry
source_file = storage_test_utils.create_file()
trigger = trigger_test_utils.create_trigger_event()
PurgeResults.objects.create(source_file_id=source_file.id, trigger_event=trigger)
self.assertEqual(PurgeResults.objects.values_list('num_products_deleted', flat=True).get(
source_file_id=source_file.id), 0)
job = job_test_utils.create_job()
job_exe = job_test_utils.create_job_exe(job=job)
file_path_1 = os.path.join('my_dir', 'my_file.txt')
file_path_2 = os.path.join('my_dir', 'my_file1.json')
file_path_3 = os.path.join('my_dir', 'my_file2.json')
file_path_4 = os.path.join('my_dir', 'my_file3.json')
file_1 = storage_test_utils.create_file(file_path=file_path_1, job_exe=job_exe)
file_2 = storage_test_utils.create_file(file_path=file_path_2, job_exe=job_exe)
file_3 = storage_test_utils.create_file(file_path=file_path_3, job_exe=job_exe)
file_4 = storage_test_utils.create_file(file_path=file_path_4, job_exe=job_exe)
# Add files to message
message = DeleteFiles()
message.purge = False
message.job_id = job.id
message.source_file_id = source_file.id
message.trigger_id = trigger.id
if message.can_fit_more():
message.add_file(file_1.id)
if message.can_fit_more():
message.add_file(file_2.id)
if message.can_fit_more():
message.add_file(file_3.id)
if message.can_fit_more():
message.add_file(file_4.id)
# Execute message
result = message.execute()
self.assertTrue(result)
# Check results are accurate. Should be 0 since purge flag was False
self.assertEqual(PurgeResults.objects.values_list('num_products_deleted', flat=True).get(
source_file_id=self.source_file.id), 0)
def test_execute_ancestor(self):
"""Tests calling DeleteFile.execute() successfully"""
# Create PurgeResults entry
source_file = storage_test_utils.create_file()
trigger = trigger_test_utils.create_trigger_event()
PurgeResults.objects.create(source_file_id=source_file.id, trigger_event=trigger)
self.assertEqual(PurgeResults.objects.values_list('num_products_deleted', flat=True).get(
source_file_id=source_file.id), 0)
job = job_test_utils.create_job()
job_exe = job_test_utils.create_job_exe(job=job)
file_path_1 = os.path.join('my_dir', 'my_file.txt')
file_path_2 = os.path.join('my_dir', 'my_file1.json')
file_path_3 = os.path.join('my_dir', 'my_file2.json')
file_path_4 = os.path.join('my_dir', 'my_file3.json')
file_1 = storage_test_utils.create_file(file_path=file_path_1, job_exe=job_exe)
file_2 = storage_test_utils.create_file(file_path=file_path_2, job_exe=job_exe)
file_3 = storage_test_utils.create_file(file_path=file_path_3, job_exe=job_exe)
file_4 = storage_test_utils.create_file(file_path=file_path_4, job_exe=job_exe)
product_test_utils.create_file_link(ancestor=source_file, descendant=file_1, job=job, job_exe=job_exe)
product_test_utils.create_file_link(ancestor=source_file, descendant=file_2, job=job, job_exe=job_exe)
product_test_utils.create_file_link(ancestor=source_file, descendant=file_3, job=job, job_exe=job_exe)
product_test_utils.create_file_link(ancestor=source_file, descendant=file_4, job=job, job_exe=job_exe)
# Add files to message
message = DeleteFiles()
message.purge = True
message.job_id = job.id
message.source_file_id = source_file.id
message.trigger_id = trigger.id
if message.can_fit_more():
message.add_file(file_1.id)
if message.can_fit_more():
message.add_file(file_2.id)
if message.can_fit_more():
message.add_file(file_3.id)
if message.can_fit_more():
message.add_file(file_4.id)
# Execute message
result = message.execute()
self.assertTrue(result)
# Check results are accurate.
self.assertEqual(PurgeResults.objects.values_list('num_products_deleted', flat=True).get(
trigger_event=trigger), 4)
| 42.929178
| 112
| 0.686815
| 2,199
| 15,154
| 4.371533
| 0.05457
| 0.07157
| 0.095184
| 0.077083
| 0.880682
| 0.873193
| 0.867471
| 0.846146
| 0.841049
| 0.841049
| 0
| 0.013771
| 0.214135
| 15,154
| 352
| 113
| 43.051136
| 0.793434
| 0.07107
| 0
| 0.774194
| 0
| 0
| 0.048939
| 0
| 0
| 0
| 0
| 0
| 0.104839
| 1
| 0.032258
| false
| 0
| 0.044355
| 0
| 0.080645
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
baead20ddf26fca9fce761fbf2634b83c6ec0903
| 125
|
py
|
Python
|
pterradactyl/util/package.py
|
GiampaoloFalqui/pterradactyl
|
3d34f8088784c53e3d0871d8ca81f2381f2c2be9
|
[
"Apache-2.0"
] | 2
|
2022-03-31T09:02:49.000Z
|
2022-03-31T18:56:52.000Z
|
pterradactyl/util/package.py
|
GiampaoloFalqui/pterradactyl
|
3d34f8088784c53e3d0871d8ca81f2381f2c2be9
|
[
"Apache-2.0"
] | 4
|
2021-12-20T18:31:47.000Z
|
2022-03-14T16:31:49.000Z
|
pterradactyl/util/package.py
|
GiampaoloFalqui/pterradactyl
|
3d34f8088784c53e3d0871d8ca81f2381f2c2be9
|
[
"Apache-2.0"
] | null | null | null |
import pkg_resources
def entry_points(group):
return {c.name: c for c in pkg_resources.iter_entry_points(group=group)}
| 20.833333
| 76
| 0.776
| 21
| 125
| 4.380952
| 0.619048
| 0.26087
| 0.347826
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.136
| 125
| 5
| 77
| 25
| 0.851852
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0.333333
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 8
|
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