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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7e74d012199c091dab3c3a658effc265930743c7
| 90
|
py
|
Python
|
exceptions.py
|
kazqvaizer/litera
|
e558446e38e32c71d112676080332c0be104d5ad
|
[
"MIT"
] | 4
|
2019-04-12T05:04:58.000Z
|
2021-12-11T13:37:24.000Z
|
exceptions.py
|
kazqvaizer/litera
|
e558446e38e32c71d112676080332c0be104d5ad
|
[
"MIT"
] | 4
|
2020-02-01T09:03:52.000Z
|
2021-05-07T01:54:40.000Z
|
exceptions.py
|
kazqvaizer/litera
|
e558446e38e32c71d112676080332c0be104d5ad
|
[
"MIT"
] | 2
|
2020-02-01T13:34:29.000Z
|
2022-03-14T14:23:29.000Z
|
class NoDataException(Exception):
pass
class BadAuthorization(Exception):
pass
| 11.25
| 34
| 0.744444
| 8
| 90
| 8.375
| 0.625
| 0.38806
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.188889
| 90
| 7
| 35
| 12.857143
| 0.917808
| 0
| 0
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
| 0
| 0
| 0.5
| 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
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
7eb1580a6d5c4697d201b4fd3cf884feea56e0d3
| 92
|
py
|
Python
|
hwm3/venv/Lib/site-packages/pymorphy2/__init__.py
|
liubov-volkova/pythondev
|
087e7c9c5ce54d51fd098a2663ae351c1a2a20be
|
[
"MIT"
] | null | null | null |
hwm3/venv/Lib/site-packages/pymorphy2/__init__.py
|
liubov-volkova/pythondev
|
087e7c9c5ce54d51fd098a2663ae351c1a2a20be
|
[
"MIT"
] | 1
|
2020-04-14T14:13:57.000Z
|
2020-04-14T14:13:57.000Z
|
hwm3/venv/Lib/site-packages/pymorphy2/__init__.py
|
liubov-volkova/pythondev
|
087e7c9c5ce54d51fd098a2663ae351c1a2a20be
|
[
"MIT"
] | 1
|
2019-05-11T23:53:04.000Z
|
2019-05-11T23:53:04.000Z
|
# -*- coding: utf-8 -*-
from .version import __version__
from .analyzer import MorphAnalyzer
| 30.666667
| 35
| 0.75
| 11
| 92
| 5.909091
| 0.727273
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.0125
| 0.130435
| 92
| 3
| 35
| 30.666667
| 0.8
| 0.228261
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
0e778b7cf32b166b6052376322bfa385b360a17f
| 61
|
py
|
Python
|
src/fel/__init__.py
|
BlueShifTA/MLHEP2020-black-box
|
e979cb92218e9242174e45f976f5bb78ac916bac
|
[
"MIT"
] | 1
|
2022-03-14T12:31:03.000Z
|
2022-03-14T12:31:03.000Z
|
src/fel/__init__.py
|
BlueShifTA/MLHEP2020-black-box
|
e979cb92218e9242174e45f976f5bb78ac916bac
|
[
"MIT"
] | null | null | null |
src/fel/__init__.py
|
BlueShifTA/MLHEP2020-black-box
|
e979cb92218e9242174e45f976f5bb78ac916bac
|
[
"MIT"
] | 7
|
2020-07-25T11:43:56.000Z
|
2020-10-14T18:53:12.000Z
|
from .sase import *
from .evaluation import eval_optimization
| 30.5
| 41
| 0.836066
| 8
| 61
| 6.25
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.114754
| 61
| 2
| 41
| 30.5
| 0.925926
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
7ed2655f494b4002dcce0d7b71db0c2f2b7d9728
| 221
|
py
|
Python
|
occiput_suite/interfile/listmode.py
|
mscipio/occiput-suite
|
9b7dc59ad615d46d811eab965a86ec9efe292a7d
|
[
"BSD-2-Clause"
] | 7
|
2018-02-22T13:50:21.000Z
|
2020-11-16T01:28:22.000Z
|
occiput_suite/interfile/listmode.py
|
mscipio/occiput-suite
|
9b7dc59ad615d46d811eab965a86ec9efe292a7d
|
[
"BSD-2-Clause"
] | null | null | null |
occiput_suite/interfile/listmode.py
|
mscipio/occiput-suite
|
9b7dc59ad615d46d811eab965a86ec9efe292a7d
|
[
"BSD-2-Clause"
] | 2
|
2018-02-22T13:50:31.000Z
|
2020-01-14T02:17:32.000Z
|
# interfile - Interfile read and write
# Stefano Pedemonte
# Aalto University, School of Science, Helsinki
# Oct 2013, Helsinki
from __future__ import absolute_import, print_function
from ..simplewrap import *
| 13.8125
| 54
| 0.760181
| 26
| 221
| 6.230769
| 0.807692
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.022222
| 0.18552
| 221
| 15
| 55
| 14.733333
| 0.877778
| 0.542986
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0.5
| 1
| 0
| 0
| null | 0
| 0
| 0
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 1
|
0
| 5
|
7d11b25f5262d3a4ebc8ad5985e7e26fc9a335c8
| 249
|
py
|
Python
|
pyram/utils/__init__.py
|
Hoseung/pyRamAn
|
f9386fa5a9f045f98590039988d3cd50bc488dc2
|
[
"MIT"
] | 1
|
2021-11-25T16:11:56.000Z
|
2021-11-25T16:11:56.000Z
|
pyram/utils/__init__.py
|
Hoseung/pyRamAn
|
f9386fa5a9f045f98590039988d3cd50bc488dc2
|
[
"MIT"
] | 6
|
2020-02-17T13:44:43.000Z
|
2020-06-25T15:35:05.000Z
|
pyram/utils/__init__.py
|
Hoseung/pyRamAn
|
f9386fa5a9f045f98590039988d3cd50bc488dc2
|
[
"MIT"
] | 1
|
2021-11-25T16:11:56.000Z
|
2021-11-25T16:11:56.000Z
|
##from . import assign
from . import array
from . import assign
from . import custom_utils
from . import cosmology
from . import util
from . import match
from . import sampling
from . import prettyplot
from . import catalogs
from . import io_module
| 20.75
| 26
| 0.771084
| 35
| 249
| 5.428571
| 0.4
| 0.578947
| 0.168421
| 0.210526
| 0.273684
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.176707
| 249
| 11
| 27
| 22.636364
| 0.926829
| 0.080321
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 0
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
adc59c0d32e4383b5821d0eca1eec6aa0d5781ca
| 3,473
|
bzl
|
Python
|
third_party/org_codehaus_plexus.bzl
|
wix/exodus
|
dfb0c9713b07a8b6a49b548b7b543021e748d80b
|
[
"MIT"
] | 186
|
2019-06-05T01:02:53.000Z
|
2022-03-31T10:44:19.000Z
|
third_party/org_codehaus_plexus.bzl
|
wix/exodus
|
dfb0c9713b07a8b6a49b548b7b543021e748d80b
|
[
"MIT"
] | 25
|
2019-06-04T23:18:55.000Z
|
2021-09-22T03:44:25.000Z
|
third_party/org_codehaus_plexus.bzl
|
wix/exodus
|
dfb0c9713b07a8b6a49b548b7b543021e748d80b
|
[
"MIT"
] | 17
|
2019-06-04T18:45:19.000Z
|
2022-01-20T09:40:04.000Z
|
load("//:import_external.bzl", import_external = "safe_wix_scala_maven_import_external")
def dependencies():
import_external(
name = "org_codehaus_plexus_plexus_archiver",
artifact = "org.codehaus.plexus:plexus-archiver:3.4",
artifact_sha256 = "3c6611c98547dbf3f5125848c273ba719bc10df44e3f492fa2e302d6135a6ea5",
srcjar_sha256 = "1887e8269928079236c9e1a75af5b5e256f4bfafaaed18da5c9c84faf5b26a91",
deps = [
"@commons_io_commons_io",
"@org_apache_commons_commons_compress",
"@org_codehaus_plexus_plexus_io",
"@org_codehaus_plexus_plexus_utils",
"@org_iq80_snappy_snappy"
],
runtime_deps = [
"@org_tukaani_xz"
],
)
import_external(
name = "org_codehaus_plexus_plexus_classworlds",
artifact = "org.codehaus.plexus:plexus-classworlds:2.5.2",
artifact_sha256 = "b2931d41740490a8d931cbe0cfe9ac20deb66cca606e679f52522f7f534c9fd7",
srcjar_sha256 = "d087c4c0ff02b035111bb72c72603b2851d126c43da39cc3c73ff45139125bec",
)
import_external(
name = "org_codehaus_plexus_plexus_component_annotations",
artifact = "org.codehaus.plexus:plexus-component-annotations:1.7.1",
artifact_sha256 = "a7fee9435db716bff593e9fb5622bcf9f25e527196485929b0cd4065c43e61df",
srcjar_sha256 = "18999359e8c1c5eb1f17a06093ceffc21f84b62b4ee0d9ab82f2e10d11049a78",
excludes = [
"junit:junit",
],
)
import_external(
name = "org_codehaus_plexus_plexus_container_default",
artifact = "org.codehaus.plexus:plexus-container-default:1.7.1",
artifact_sha256 = "f3f61952d63675ef61b42fa4256c1635749a5bc17668b4529fccde0a29d8ee19",
srcjar_sha256 = "4464c902148ed19381336e6fcf17e914dc895416953888bb049bdd4f7ef86b80",
deps = [
"@com_google_collections_google_collections",
"@org_apache_xbean_xbean_reflect",
"@org_codehaus_plexus_plexus_classworlds",
"@org_codehaus_plexus_plexus_utils"
],
)
import_external(
name = "org_codehaus_plexus_plexus_interpolation",
artifact = "org.codehaus.plexus:plexus-interpolation:1.24",
artifact_sha256 = "8fe2be04b067a75d02fb8a1a9caf6c1c8615f0d5577cced02e90b520763d2f77",
srcjar_sha256 = "0b372b91236c4a2c63dc0d6b2010e10c98b993fc8491f6a02b73052a218b6644",
)
import_external(
name = "org_codehaus_plexus_plexus_io",
artifact = "org.codehaus.plexus:plexus-io:2.7.1",
artifact_sha256 = "20aa9dd74536ad9ce65d1253b5c4386747483a7a65c48008c9affb51854539cf",
deps = [
"@commons_io_commons_io",
"@org_codehaus_plexus_plexus_utils"
],
)
import_external(
name = "org_codehaus_plexus_plexus_utils",
artifact = "org.codehaus.plexus:plexus-utils:3.1.0",
artifact_sha256 = "0ffa0ad084ebff5712540a7b7ea0abda487c53d3a18f78c98d1a3675dab9bf61",
srcjar_sha256 = "06eb127e188a940ebbcf340c43c95537c3052298acdc943a9b2ec2146c7238d9",
)
import_external(
name = "org_codehaus_plexus_plexus_velocity",
artifact = "org.codehaus.plexus:plexus-velocity:1.1.8",
artifact_sha256 = "36b3ea3d0cef03f36bd2c4e0f34729c3de80fd375059bdccbf52b10a42c6ec2c",
srcjar_sha256 = "906065102c989b1a82ab0871de1489381835af84cdb32c668c8af59d8a7767fe",
deps = [
"@commons_collections_commons_collections",
"@org_codehaus_plexus_plexus_container_default",
"@velocity_velocity"
],
)
| 36.946809
| 91
| 0.736827
| 273
| 3,473
| 8.945055
| 0.245421
| 0.099099
| 0.153153
| 0.207207
| 0.411548
| 0.253071
| 0.157248
| 0.056511
| 0.056511
| 0.056511
| 0
| 0.237995
| 0.17852
| 3,473
| 93
| 92
| 37.344086
| 0.617946
| 0
| 0
| 0.285714
| 0
| 0
| 0.615606
| 0.602937
| 0
| 0
| 0
| 0
| 0
| 1
| 0.012987
| true
| 0
| 0.116883
| 0
| 0.12987
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
adc858bef2ebb34114bb50d37bf96f9218ee09a9
| 23
|
py
|
Python
|
python/default/__init__.py
|
gilwoong-kang/education.cloudsecurity
|
b64c782017a06db9c312e04011b53a8cf058fa49
|
[
"Apache-2.0"
] | null | null | null |
python/default/__init__.py
|
gilwoong-kang/education.cloudsecurity
|
b64c782017a06db9c312e04011b53a8cf058fa49
|
[
"Apache-2.0"
] | null | null | null |
python/default/__init__.py
|
gilwoong-kang/education.cloudsecurity
|
b64c782017a06db9c312e04011b53a8cf058fa49
|
[
"Apache-2.0"
] | 1
|
2021-06-29T09:46:23.000Z
|
2021-06-29T09:46:23.000Z
|
print("default module")
| 23
| 23
| 0.782609
| 3
| 23
| 6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.043478
| 23
| 1
| 23
| 23
| 0.818182
| 0
| 0
| 0
| 0
| 0
| 0.583333
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 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
| 0
| 0
| 0
| 1
|
0
| 5
|
adff51b09174fcc76595a2ceed05e050f33486a6
| 120
|
py
|
Python
|
landingpage/admin.py
|
Patrickberzins/Tweagle_Final
|
4a7e426089dc5d3270c99fb4eb1dee243a44f924
|
[
"MIT"
] | null | null | null |
landingpage/admin.py
|
Patrickberzins/Tweagle_Final
|
4a7e426089dc5d3270c99fb4eb1dee243a44f924
|
[
"MIT"
] | null | null | null |
landingpage/admin.py
|
Patrickberzins/Tweagle_Final
|
4a7e426089dc5d3270c99fb4eb1dee243a44f924
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from .models import ReportA
admin.site.register(ReportA)
# Register your models here.
| 20
| 32
| 0.808333
| 17
| 120
| 5.705882
| 0.647059
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125
| 120
| 5
| 33
| 24
| 0.92381
| 0.216667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
bc0bcb512b96764e4fb3418575f6b3dad153d659
| 88
|
py
|
Python
|
mobile_env/scenarios/__init__.py
|
stwerner97/mobile-env
|
72ab2d142cde1e765183c8e20168d391d5ca2de7
|
[
"MIT"
] | 9
|
2022-01-12T21:57:58.000Z
|
2022-03-26T08:37:49.000Z
|
mobile_env/scenarios/__init__.py
|
stwerner97/mobile-env
|
72ab2d142cde1e765183c8e20168d391d5ca2de7
|
[
"MIT"
] | 2
|
2021-12-12T17:55:35.000Z
|
2022-02-07T22:20:22.000Z
|
mobile_env/scenarios/__init__.py
|
stwerner97/mobile-env
|
72ab2d142cde1e765183c8e20168d391d5ca2de7
|
[
"MIT"
] | 6
|
2021-10-19T09:12:26.000Z
|
2022-02-07T22:38:49.000Z
|
# import envs module so they register themselves
import mobile_env.scenarios.registry
| 29.333333
| 49
| 0.829545
| 12
| 88
| 6
| 0.916667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.136364
| 88
| 2
| 50
| 44
| 0.947368
| 0.522727
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
bc3cc4fa1b1176f747e9d38bfe96b2217a81068a
| 3,633
|
py
|
Python
|
qcm/HsdSAndFreqNewBox1CalibData.py
|
golfit/work-archive
|
bdd37d46fda3fde15ec2164d3335d6b4ed576bd7
|
[
"MIT"
] | null | null | null |
qcm/HsdSAndFreqNewBox1CalibData.py
|
golfit/work-archive
|
bdd37d46fda3fde15ec2164d3335d6b4ed576bd7
|
[
"MIT"
] | null | null | null |
qcm/HsdSAndFreqNewBox1CalibData.py
|
golfit/work-archive
|
bdd37d46fda3fde15ec2164d3335d6b4ed576bd7
|
[
"MIT"
] | null | null | null |
from numpy import *
from scipy import *
fsdS1=[37424.5996476, 41653.5595834, 44227.5263150, 46131.0556774, 49182.1682894, 50653.2950739, 53606.1748703, 55780.1390832, 57089.1133718, 59985.6457535, 62107.8610625, 63587.5513792, 66341.8088564, 68092.5511813, 72247.5476337, 76712.7851415, 80658.8429454, 85017.1129488, 89356.3968951, 93594.0489333, 97618.9823264, 101981.4708949, 106214.5114575, 110216.4585374, 114905.6925208, 118811.4579622, 123044.2552899, 127534.0780242, 131430.0200858, 135934.5997732, 140156.0737681, 144331.1893368, 148525.0469170, 152760.9304824, 156941.8488254, 161419.7132036, 165665.5066499, 169585.6757436, 174018.4621135, 178282.8769970, 182210.7172861, 186363.4646203, 189397.8241460, 190610.0620549, 192888.9157879, 195703.7345092, 196911.8206453, 199199.9926560, 202010.4013603, 203216.1321761, 205529.6446799, 208522.5978787, 210151.8740108, 211854.3228970, 214813.9191489, 216735.7611092, 218191.1551739, 221125.9724840, 223036.1525139, 224513.5490365, 227439.7441895, 229328.6753949, 230838.7373929, 233757.8880172, 235600.1324580, 237403.7660717, 240189.5206042, 241874.3935235, 243703.6902578, 246510.9192798, 248176.9515318, 250004.1428072, 252829.8252008, 254483.5682235, 256307.7576349, 259129.6242293, 261355.1974513, 262616.0436537, 265437.7732735, 267656.0504605, 268929.2057121, 271759.1764223, 273958.6792342, 275239.0767348, 278084.8413393, 280215.5909803, 281787.8815468, 284438.4985998, 286533.0096677, 288269.3083714, 290768.9270019, 292476.0027460, 294314.4896480, 297087.8179945, 299011.2694920, 300795.1439464]
Hreal=[199.05837, 199.79194, 199.09048, 197.58215, 197.07984, 196.98346, 196.74508, 196.55577, 196.45237, 196.58390, 197.09146, 197.62422, 198.15029, 198.64785, 199.12736, 199.59044, 200.02534, 200.43851, 200.85210, 201.22315, 201.55419, 201.84666, 202.11577, 202.35132, 202.56785, 202.76578, 202.94892, 203.11071, 203.26541, 203.41517, 203.55713, 203.69295, 203.80766, 203.92983, 204.03262, 204.13144, 204.22284, 204.31694, 204.39592, 204.46153, 204.51805, 204.57406, 204.62548, 204.66010, 204.69856, 204.72940, 204.75556, 204.77954, 204.81091, 204.83858, 204.86068, 204.88717, 204.91028, 204.93041, 204.95372, 204.97891, 205.00893, 205.03144, 205.05018, 205.06241, 205.08955, 205.11090, 205.13244, 205.16095, 205.18529, 205.20489, 205.21826, 205.23180, 205.24835, 205.27129, 205.28638, 205.29426, 205.30863, 205.32259, 205.33166, 205.34771, 205.36792, 205.39145, 205.40305, 205.42731, 205.44927, 205.47474, 205.49399, 205.51264, 205.53373, 205.55352, 205.57558, 205.59069, 205.61153, 205.61142, 205.63191, 205.61762, 205.62793, 205.62708, 205.60543, 205.61053]
Himag=[-7.43645, -6.39943, -6.55689, -6.34487, -6.04337, -5.73344, -5.44799, -5.21252, -4.90764, -4.59269, -4.30699, -4.02726, -3.77049, -3.53250, -3.31251, -3.11950, -2.97711, -2.80988, -2.64540, -2.49958, -2.38517, -2.29105, -2.21999, -2.16245, -2.11519, -2.08275, -2.06176, -2.05005, -2.04254, -2.03133, -2.02611, -2.02941, -2.04326, -2.06599, -2.09051, -2.11340, -2.13731, -2.15911, -2.18845, -2.22549, -2.26033, -2.29902, -2.32294, -2.34754, -2.37538, -2.39570, -2.41618, -2.44008, -2.46319, -2.48732, -2.51009, -2.53353, -2.55497, -2.57187, -2.58517, -2.60898, -2.63523, -2.65256, -2.67976, -2.70542, -2.72567, -2.74906, -2.76994, -2.78470, -2.80841, -2.82567, -2.84175, -2.86575, -2.87676, -2.87851, -2.89777, -2.90922, -2.92317, -2.95224, -2.96450, -2.97822, -2.98625, -2.99039, -3.00933, -3.03810, -3.05554, -3.08144, -3.10787, -3.12112, -3.15091, -3.26453, -3.30104, -3.33641, -3.36786, -3.39934, -3.47601, -3.50349, -3.57367, -3.52047, -3.60066, -3.75463]
HsdS1=double(Hreal)+1j*double(Himag)
| 330.272727
| 1,521
| 0.728048
| 591
| 3,633
| 4.475465
| 0.693739
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.772509
| 0.082852
| 3,633
| 10
| 1,522
| 363.3
| 0.021309
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
70bbef853118f2f13c91f3afdcbf587c60e98976
| 226
|
py
|
Python
|
e2e/config.py
|
Tismas/bigflow
|
6a4a14616d66beeaf45700ea340c97d797a1f9e5
|
[
"Apache-2.0"
] | null | null | null |
e2e/config.py
|
Tismas/bigflow
|
6a4a14616d66beeaf45700ea340c97d797a1f9e5
|
[
"Apache-2.0"
] | null | null | null |
e2e/config.py
|
Tismas/bigflow
|
6a4a14616d66beeaf45700ea340c97d797a1f9e5
|
[
"Apache-2.0"
] | null | null | null |
from __future__ import absolute_import
PROJECT_ID = None
CREDENTIALS = None
try:
from . import local_config
PROJECT_ID = local_config.PROJECT_ID
CREDENTIALS = local_config.CREDENTIALS
except ImportError:
pass
| 20.545455
| 42
| 0.778761
| 28
| 226
| 5.892857
| 0.5
| 0.163636
| 0.218182
| 0.242424
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.181416
| 226
| 11
| 43
| 20.545455
| 0.891892
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.111111
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 0
| 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
| 0
| 0
| 1
| 1
| 0
| 0
| 0
|
0
| 5
|
70be80d23dbdf8437f2cde53b1b6ee3cd111ff0c
| 169
|
py
|
Python
|
src/abc190_c.py
|
06keito/study-atcoder
|
c859e542079b550d19fa5e5e632e982a0dbb9578
|
[
"MIT"
] | 1
|
2021-08-19T07:21:47.000Z
|
2021-08-19T07:21:47.000Z
|
src/abc190_c.py
|
06keito/main-repository
|
c859e542079b550d19fa5e5e632e982a0dbb9578
|
[
"MIT"
] | null | null | null |
src/abc190_c.py
|
06keito/main-repository
|
c859e542079b550d19fa5e5e632e982a0dbb9578
|
[
"MIT"
] | null | null | null |
N,M = map(int,input().split())
ab_lst = [list(map(int,input().split())) for i in range(M)]
K = int(input())
cd_lst = [list(map(int,input().split())) for i in range(K)]
| 28.166667
| 59
| 0.609467
| 33
| 169
| 3.060606
| 0.454545
| 0.316832
| 0.326733
| 0.475248
| 0.673267
| 0.673267
| 0.673267
| 0.673267
| 0.673267
| 0.673267
| 0
| 0
| 0.12426
| 169
| 5
| 60
| 33.8
| 0.682432
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 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
| 5
|
70c731153938859987cc1ef85f5379a30f017b55
| 69
|
py
|
Python
|
main/language/hello_world/hello.py
|
catalinprescure/python-pages
|
93df3b22df2cfa269127e803a1b6c6a34bae6745
|
[
"MIT"
] | null | null | null |
main/language/hello_world/hello.py
|
catalinprescure/python-pages
|
93df3b22df2cfa269127e803a1b6c6a34bae6745
|
[
"MIT"
] | null | null | null |
main/language/hello_world/hello.py
|
catalinprescure/python-pages
|
93df3b22df2cfa269127e803a1b6c6a34bae6745
|
[
"MIT"
] | 1
|
2021-12-24T15:58:32.000Z
|
2021-12-24T15:58:32.000Z
|
# hello.py
print('Hello World')
# python hello.py
# Hello World
| 11.5
| 20
| 0.652174
| 10
| 69
| 4.5
| 0.5
| 0.311111
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.217391
| 69
| 6
| 21
| 11.5
| 0.833333
| 0.521739
| 0
| 0
| 0
| 0
| 0.366667
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 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
| 0
| 0
| 0
| 1
|
0
| 5
|
cb282313dafb980154d8b9819e4a036e533921f7
| 2,134
|
py
|
Python
|
server/tests/test_reports.py
|
ishitakapoor26/Nutrihelp
|
5bac42aaee61884f9ee7415caf441e80b7b03b48
|
[
"MIT"
] | 22
|
2021-02-15T10:30:59.000Z
|
2022-01-09T07:10:36.000Z
|
server/tests/test_reports.py
|
Ayonijakaushik19/Nutrihelp
|
85926b187a6bfcf80f1f1cd60667ed3d14dce0be
|
[
"MIT"
] | 51
|
2021-02-27T15:42:15.000Z
|
2022-03-01T15:02:03.000Z
|
server/tests/test_reports.py
|
Ayonijakaushik19/Nutrihelp
|
85926b187a6bfcf80f1f1cd60667ed3d14dce0be
|
[
"MIT"
] | 25
|
2021-02-14T17:49:23.000Z
|
2022-02-27T18:27:39.000Z
|
from json import dumps as pretty
from ..app import app
class glo:
patient_id = []
userid = ['1k313224', '60961d77a7090edb5b69c62c']
report_id = []
g = glo()
def pprint(data):
print(pretty(data, sort_keys=True, indent=4))
def test_get_all_patients():
with app.test_client() as client:
for id in g.userid:
res = client.get('/patients/'+id)
pprint(res.json)
if type(res.json) == list:
g.patient_id = [(d.get('id')) for d in res.json]
g.patient_id.append({'$oid': g.userid[1]})
assert res.status_code == 200
def test_diabetes_report():
with app.test_client() as client:
for uid in g.userid:
for pid in g.patient_id:
uri = 'reports/diabetes/'+uid+'/' + pid['$oid']
res = client.get(uri)
pprint(res.json)
assert res.status_code == 200
def test_get_all_reports():
with app.test_client() as client:
for id in g.userid:
res = client.get('reports/'+id)
pprint(res.json)
if type(res.json) == list:
g.report_id = [(d.get('id')) for d in res.json]
g.report_id.append({'$oid': g.userid[1]})
assert res.status_code == 200
def test_get_recent_reports():
with app.test_client() as client:
for id in g.userid:
res = client.get('reports/'+id+'/recent')
pprint(res.json)
assert res.status_code == 200
def test_report_get():
with app.test_client() as client:
for uid in g.userid:
for rid in g.report_id:
uri = 'reports/'+uid+'/'+rid['$oid']
res = client.get(uri)
pprint(res.json)
assert res.status_code == 200
def test_report_delete():
with app.test_client() as client:
for uid in g.userid:
for rid in g.report_id:
uri = 'reports/'+uid+'/'+rid['$oid']
res = client.delete(uri)
pprint(res.json)
assert res.status_code == 200
| 27.714286
| 64
| 0.534208
| 283
| 2,134
| 3.897527
| 0.187279
| 0.063463
| 0.059837
| 0.092475
| 0.732548
| 0.732548
| 0.732548
| 0.732548
| 0.727108
| 0.692656
| 0
| 0.031073
| 0.336457
| 2,134
| 76
| 65
| 28.078947
| 0.747881
| 0
| 0
| 0.561404
| 0
| 0
| 0.058575
| 0.011246
| 0
| 0
| 0
| 0
| 0.105263
| 1
| 0.122807
| false
| 0
| 0.035088
| 0
| 0.22807
| 0.140351
| 0
| 0
| 0
| null | 0
| 0
| 0
| 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
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
cb2d87d8633ee15dcfd606e072e94fcc802b0191
| 112
|
py
|
Python
|
enthought/block_canvas/app/segy_reader/trace_header_ui.py
|
enthought/etsproxy
|
4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347
|
[
"BSD-3-Clause"
] | 3
|
2016-12-09T06:05:18.000Z
|
2018-03-01T13:00:29.000Z
|
enthought/block_canvas/app/segy_reader/trace_header_ui.py
|
enthought/etsproxy
|
4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347
|
[
"BSD-3-Clause"
] | 1
|
2020-12-02T00:51:32.000Z
|
2020-12-02T08:48:55.000Z
|
enthought/block_canvas/app/segy_reader/trace_header_ui.py
|
enthought/etsproxy
|
4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347
|
[
"BSD-3-Clause"
] | null | null | null |
# proxy module
from __future__ import absolute_import
from blockcanvas.app.segy_reader.trace_header_ui import *
| 28
| 57
| 0.857143
| 16
| 112
| 5.5
| 0.8125
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.098214
| 112
| 3
| 58
| 37.333333
| 0.871287
| 0.107143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
cb3fa35b9c09b8457319c273f58730fd1fb70a73
| 113
|
py
|
Python
|
cone/crypto/__init__.py
|
cone387/cone-python
|
898fc82fbaf925a4e05f1939b1453f80b6c0379b
|
[
"MIT"
] | null | null | null |
cone/crypto/__init__.py
|
cone387/cone-python
|
898fc82fbaf925a4e05f1939b1453f80b6c0379b
|
[
"MIT"
] | null | null | null |
cone/crypto/__init__.py
|
cone387/cone-python
|
898fc82fbaf925a4e05f1939b1453f80b6c0379b
|
[
"MIT"
] | null | null | null |
# -*- coding:utf-8 -*-
# author: Cone
# datetime: 2022/3/20 下午4:29
# software: PyCharm
from .md5 import get_md5
| 16.142857
| 28
| 0.663717
| 18
| 113
| 4.111111
| 0.944444
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.138298
| 0.168142
| 113
| 7
| 29
| 16.142857
| 0.648936
| 0.690265
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
cb617c8edc2c2207b9febd28beb6e805f4f54445
| 160
|
py
|
Python
|
pyEXOS/__init__.py
|
fooelisa/pyexos
|
0a8a221393ed28b1510131ddd45e78a84fae2a33
|
[
"Apache-2.0"
] | 5
|
2017-05-15T13:00:00.000Z
|
2020-07-27T14:05:08.000Z
|
pyEXOS/__init__.py
|
fooelisa/pyexos
|
0a8a221393ed28b1510131ddd45e78a84fae2a33
|
[
"Apache-2.0"
] | 10
|
2017-12-02T20:45:32.000Z
|
2018-10-16T23:17:12.000Z
|
pyEXOS/__init__.py
|
fooelisa/pyexos
|
0a8a221393ed28b1510131ddd45e78a84fae2a33
|
[
"Apache-2.0"
] | 6
|
2017-05-31T09:15:50.000Z
|
2021-03-03T04:36:15.000Z
|
#!/usr/bin/env python
""" Interact with Extreme Networks devices running EXOS """
from __future__ import absolute_import
from .exos import EXOS # noqa: F401
| 22.857143
| 59
| 0.75625
| 22
| 160
| 5.272727
| 0.772727
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.022222
| 0.15625
| 160
| 6
| 60
| 26.666667
| 0.837037
| 0.525
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
cb73630b22752bbe3052e4f36281bcf5f7a54768
| 45
|
py
|
Python
|
BOJwithDongbinNa/1427/1427.py
|
jiyolla/StudyForCodingTestWithDongbinNa
|
c070829dd9c7b02b139e56511832c4a3b9f5982f
|
[
"MIT"
] | null | null | null |
BOJwithDongbinNa/1427/1427.py
|
jiyolla/StudyForCodingTestWithDongbinNa
|
c070829dd9c7b02b139e56511832c4a3b9f5982f
|
[
"MIT"
] | null | null | null |
BOJwithDongbinNa/1427/1427.py
|
jiyolla/StudyForCodingTestWithDongbinNa
|
c070829dd9c7b02b139e56511832c4a3b9f5982f
|
[
"MIT"
] | null | null | null |
print("".join(sorted(input(),reverse=True)))
| 22.5
| 44
| 0.688889
| 6
| 45
| 5.166667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.022222
| 45
| 1
| 45
| 45
| 0.704545
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 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
| 0
| 0
| 0
| 1
|
0
| 5
|
cb744e94535d4a9e27a926f07e5e637c388abfc7
| 98
|
py
|
Python
|
31/00/list.sort.1.py
|
pylangstudy/201705
|
c69de524faa67fa2d96267d5a51ed9794208f0e4
|
[
"CC0-1.0"
] | null | null | null |
31/00/list.sort.1.py
|
pylangstudy/201705
|
c69de524faa67fa2d96267d5a51ed9794208f0e4
|
[
"CC0-1.0"
] | 38
|
2017-05-25T07:08:48.000Z
|
2017-05-31T01:42:41.000Z
|
31/00/list.sort.1.py
|
pylangstudy/201705
|
c69de524faa67fa2d96267d5a51ed9794208f0e4
|
[
"CC0-1.0"
] | null | null | null |
l = [{'key': 300}, {'key': 200}, {'key': 100}]
print(l)
l.sort(key = lambda x: x['key'])
print(l)
| 19.6
| 46
| 0.510204
| 18
| 98
| 2.777778
| 0.5
| 0.24
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.108434
| 0.153061
| 98
| 4
| 47
| 24.5
| 0.493976
| 0
| 0
| 0.5
| 0
| 0
| 0.122449
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.5
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
cb7a9cd62233d422125e79a99ee64e6ccb64db40
| 190
|
py
|
Python
|
geodjango/webmap/admin.py
|
za/geodjango
|
a9d6d8f769cd36178b9d38ba25fe345970c177a9
|
[
"MIT"
] | null | null | null |
geodjango/webmap/admin.py
|
za/geodjango
|
a9d6d8f769cd36178b9d38ba25fe345970c177a9
|
[
"MIT"
] | null | null | null |
geodjango/webmap/admin.py
|
za/geodjango
|
a9d6d8f769cd36178b9d38ba25fe345970c177a9
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from leaflet.admin import LeafletGeoAdmin
from .models import MushroomSpot
# Register your models here.
admin.site.register(MushroomSpot, LeafletGeoAdmin)
| 23.75
| 50
| 0.836842
| 23
| 190
| 6.913043
| 0.565217
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.110526
| 190
| 7
| 51
| 27.142857
| 0.940828
| 0.136842
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.75
| 0
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
cbba3bac548524fac06eba34a5683897b3409179
| 136
|
py
|
Python
|
app/common/admin.py
|
hupili/legco-watch
|
06253a65d299564827972a38dc7d7dee5c1f6120
|
[
"MIT"
] | null | null | null |
app/common/admin.py
|
hupili/legco-watch
|
06253a65d299564827972a38dc7d7dee5c1f6120
|
[
"MIT"
] | null | null | null |
app/common/admin.py
|
hupili/legco-watch
|
06253a65d299564827972a38dc7d7dee5c1f6120
|
[
"MIT"
] | 1
|
2020-05-24T17:08:57.000Z
|
2020-05-24T17:08:57.000Z
|
from django.contrib import admin
# Register your models here.
from common.models import ErrorReport
admin.site.register(ErrorReport)
| 17
| 37
| 0.816176
| 18
| 136
| 6.166667
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125
| 136
| 7
| 38
| 19.428571
| 0.932773
| 0.191176
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
cbd0fba1941399fd7ecf872dfb1c615a9b59fa4c
| 105
|
py
|
Python
|
updatesproducer/iupdates_provider.py
|
AppleteeYT/Iris
|
b60deb6575820253bad50b48b9b39023d6440fd4
|
[
"Apache-2.0"
] | null | null | null |
updatesproducer/iupdates_provider.py
|
AppleteeYT/Iris
|
b60deb6575820253bad50b48b9b39023d6440fd4
|
[
"Apache-2.0"
] | null | null | null |
updatesproducer/iupdates_provider.py
|
AppleteeYT/Iris
|
b60deb6575820253bad50b48b9b39023d6440fd4
|
[
"Apache-2.0"
] | null | null | null |
from abc import ABC
class IUpdatesProvider(ABC):
def get_updates(self, user_id: str):
pass
| 15
| 40
| 0.685714
| 15
| 105
| 4.666667
| 0.866667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.238095
| 105
| 6
| 41
| 17.5
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0.25
| 0.25
| 0
| 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
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 5
|
1dafd5cb2b9ee24f85d0492d477b2a2487ae0d69
| 21
|
py
|
Python
|
dfs.py
|
vollov/dep-search-bpm
|
7219393c50af930e83ca4dbd494147d6e41f1d62
|
[
"MIT"
] | null | null | null |
dfs.py
|
vollov/dep-search-bpm
|
7219393c50af930e83ca4dbd494147d6e41f1d62
|
[
"MIT"
] | null | null | null |
dfs.py
|
vollov/dep-search-bpm
|
7219393c50af930e83ca4dbd494147d6e41f1d62
|
[
"MIT"
] | null | null | null |
#Depth-first search
| 7
| 19
| 0.761905
| 3
| 21
| 5.333333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 21
| 2
| 20
| 10.5
| 0.888889
| 0.857143
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
3813d3bf73e62ea5457d8b35dacfe2f616ff3028
| 77
|
py
|
Python
|
20-factorialDigitSum.py
|
cmaron/Project-Euler
|
c4950302f71ee65d81040fae5764ec9eeef6b1f0
|
[
"MIT"
] | 2
|
2015-01-20T14:00:14.000Z
|
2016-01-27T16:36:53.000Z
|
20-factorialDigitSum.py
|
cmaron/Project-Euler
|
c4950302f71ee65d81040fae5764ec9eeef6b1f0
|
[
"MIT"
] | null | null | null |
20-factorialDigitSum.py
|
cmaron/Project-Euler
|
c4950302f71ee65d81040fae5764ec9eeef6b1f0
|
[
"MIT"
] | null | null | null |
import math
print sum(map(lambda x: int(x), list(str(math.factorial(100)))))
| 25.666667
| 64
| 0.714286
| 14
| 77
| 3.928571
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.042857
| 0.090909
| 77
| 3
| 64
| 25.666667
| 0.742857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.5
| null | null | 0.5
| 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
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 1
|
0
| 5
|
381729988473d7256abd99ce4c7a6b343ffeb255
| 2,358
|
py
|
Python
|
sparrow_django_common/tests/test_permission_middleware.py
|
littletiger7/sparrow_django_common
|
342f74611e1abba94868add6d98ed0292c1cefcd
|
[
"MIT"
] | 2
|
2019-07-18T08:32:56.000Z
|
2019-07-23T03:58:51.000Z
|
sparrow_django_common/tests/test_permission_middleware.py
|
littletiger7/sparrow_django_common
|
342f74611e1abba94868add6d98ed0292c1cefcd
|
[
"MIT"
] | 3
|
2019-07-24T08:51:58.000Z
|
2019-08-12T02:48:56.000Z
|
sparrow_django_common/tests/test_permission_middleware.py
|
littletiger7/sparrow_django_common
|
342f74611e1abba94868add6d98ed0292c1cefcd
|
[
"MIT"
] | 6
|
2019-07-18T09:10:43.000Z
|
2020-09-04T08:25:51.000Z
|
import unittest
from unittest import mock
def mocked_requests_post(*args, **kwargs):
class MockResponse:
def __init__(self, json_data, status_code):
self.json_data = json_data
self.status_code = status_code
def json(self):
return self.json_data
if args[0] == 'http://127.0.0.1:9999/api':
return MockResponse({"status": True, "message": "成功", }, 200)
return MockResponse({"status": False, "message": "失败"}, 200)
class TestPermissionMiddleware(unittest.TestCase):
"""测试permission_middleware"""
@mock.patch('sparrow_django_common.utils.validation_data.VerificationConfiguration.verify_middleware_location',
return_value='')
@mock.patch('requests.post', side_effect=mocked_requests_post)
@mock.patch('sparrow_django_common.utils.validation_data.VerificationConfiguration.valid_permission_svc',
return_value='')
@mock.patch('django.conf.settings', return_value='')
@mock.patch('sparrow_django_common.utils.normalize_url.NormalizeUrl.normalize_url',
return_value='http://127.0.0.1:9999/api')
def test_have_authority(self, NormalizeUrl, settings, valid_permission_svc, requests, verify_middleware_location):
from sparrow_django_common.middleware.permission_middleware import PermissionMiddleware
self.assertEqual(PermissionMiddleware().has_permission(requests, view=''), True)
@mock.patch('sparrow_django_common.utils.validation_data.VerificationConfiguration.verify_middleware_location',
return_value='')
@mock.patch('requests.post', side_effect=mocked_requests_post)
@mock.patch('sparrow_django_common.utils.validation_data.VerificationConfiguration.valid_permission_svc',
return_value='')
@mock.patch('django.conf.settings', return_value='')
@mock.patch('sparrow_django_common.utils.normalize_url.NormalizeUrl.normalize_url',
return_value='http://127.0.0.1:9d999/api')
def test_no_permission(self, NormalizeUrl, settings, valid_permission_svc, requests, verify_middleware_location):
from sparrow_django_common.middleware.permission_middleware import PermissionMiddleware
self.assertEqual(PermissionMiddleware().has_permission(requests, view=''), False)
if __name__ == '__main__':
unittest.main()
| 48.122449
| 118
| 0.730704
| 263
| 2,358
| 6.231939
| 0.254753
| 0.054912
| 0.092739
| 0.080537
| 0.744356
| 0.744356
| 0.744356
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| 0.729713
| 0
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| 0.154368
| 2,358
| 48
| 119
| 49.125
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| 0.295406
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| 0
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| 1
| 0.135135
| false
| 0
| 0.108108
| 0.027027
| 0.378378
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
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0
| 5
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382094766492fe4d7fb7fd530bc4bf0dfce4fe43
| 81,379
|
py
|
Python
|
src/abaqus/BoundaryCondition/BoundaryConditionModel.py
|
Haiiliin/PyAbaqus
|
f20db6ebea19b73059fe875a53be370253381078
|
[
"MIT"
] | 7
|
2022-01-21T09:15:45.000Z
|
2022-02-15T09:31:58.000Z
|
src/abaqus/BoundaryCondition/BoundaryConditionModel.py
|
Haiiliin/PyAbaqus
|
f20db6ebea19b73059fe875a53be370253381078
|
[
"MIT"
] | null | null | null |
src/abaqus/BoundaryCondition/BoundaryConditionModel.py
|
Haiiliin/PyAbaqus
|
f20db6ebea19b73059fe875a53be370253381078
|
[
"MIT"
] | null | null | null |
import typing
from abaqusConstants import *
from .AccelerationBC import AccelerationBC
from .AccelerationBCState import AccelerationBCState
from .AccelerationBaseMotionBC import AccelerationBaseMotionBC
from .AccelerationBaseMotionBCState import AccelerationBaseMotionBCState
from .AcousticPressureBC import AcousticPressureBC
from .AcousticPressureBCState import AcousticPressureBCState
from .Calibration import Calibration
from .ConcentrationBC import ConcentrationBC
from .ConcentrationBCState import ConcentrationBCState
from .ConnAccelerationBC import ConnAccelerationBC
from .ConnAccelerationBCState import ConnAccelerationBCState
from .ConnDisplacementBC import ConnDisplacementBC
from .ConnDisplacementBCState import ConnDisplacementBCState
from .ConnVelocityBC import ConnVelocityBC
from .ConnVelocityBCState import ConnVelocityBCState
from .DisplacementBC import DisplacementBC
from .DisplacementBCState import DisplacementBCState
from .DisplacementBaseMotionBC import DisplacementBaseMotionBC
from .DisplacementBaseMotionBCState import DisplacementBaseMotionBCState
from .ElectricPotentialBC import ElectricPotentialBC
from .ElectricPotentialBCState import ElectricPotentialBCState
from .EulerianBC import EulerianBC
from .EulerianBCState import EulerianBCState
from .EulerianMotionBC import EulerianMotionBC
from .EulerianMotionBCState import EulerianMotionBCState
from .FluidCavityPressureBC import FluidCavityPressureBC
from .FluidCavityPressureBCState import FluidCavityPressureBCState
from .MagneticVectorPotentialBC import MagneticVectorPotentialBC
from .MaterialFlowBC import MaterialFlowBC
from .MaterialFlowBCState import MaterialFlowBCState
from .PorePressureBC import PorePressureBC
from .PorePressureBCState import PorePressureBCState
from .RetainedNodalDofsBC import RetainedNodalDofsBC
from .SecondaryBaseBC import SecondaryBaseBC
from .SecondaryBaseBCState import SecondaryBaseBCState
from .SubmodelBC import SubmodelBC
from .SubmodelBCState import SubmodelBCState
from .TemperatureBC import TemperatureBC
from .TemperatureBCState import TemperatureBCState
from .VelocityBC import VelocityBC
from .VelocityBCState import VelocityBCState
from .VelocityBaseMotionBC import VelocityBaseMotionBC
from .VelocityBaseMotionBCState import VelocityBaseMotionBCState
from ..Amplitude.CorrelationArray import CorrelationArray
from ..Model.ModelBase import ModelBase
from ..Region.Region import Region
from ..Region.RegionArray import RegionArray
class BoundaryConditionModel(ModelBase):
"""Abaqus creates a Model object named `Model-1` when a session is started.
Notes
-----
This object can be accessed by:
.. code-block:: python
mdb.models[name]
"""
def AccelerationBaseMotionBC(self, name: str, createStepName: str, dof: SymbolicConstant,
amplitudeScaleFactor: float = 1,
centerOfRotation: tuple = (), correlation: CorrelationArray = None,
secondaryBase: str = '', useComplex: Boolean = OFF,
amplitude: str = UNSET) -> AccelerationBaseMotionBC:
"""This method creates a AccelerationBaseMotionBC object.
Notes
-----
This function can be accessed by:
.. code-block:: python
mdb.models[name].AccelerationBaseMotionBC
Parameters
----------
name
A String specifying the boundary condition repository key.
createStepName
A String specifying the name of the step in which the boundary condition is created.
dof
A SymbolicConstant specifying the constrained degree-of-freedom. Possible values for the
SymbolicConstant are U1, U2, U3, UR1, UR2, UR3. The default value is U1.
amplitudeScaleFactor
A Float specifying the scale factor for the amplitude curve. The default value is 1.0.
centerOfRotation
A ModelDot object specifying a tuple containing one center of rotation. The default
value is the global origin. This argument applies only when *dof*=UR1, UR2, or UR3.
correlation
A CorrelationArray object.
secondaryBase
A String specifying the name of the SecondaryBaseBC object associated with this boundary
condition. The default value is an empty string.
useComplex
A Boolean specifying whether to define the imaginary (out-of-plane) portion of the base
motion record given by amplitude definition. The default value is OFF.
amplitude
A String or the SymbolicConstant UNSET specifying the name of the amplitude reference.
UNSET should be used if the boundary condition has no amplitude reference. The default
value is UNSET. You should provide the *amplitude* argument only if it is valid for the
specified step.
Returns
-------
bc: AccelerationBC
An AccelerationBaseMotionBC object.
"""
self.boundaryConditions[name] = boundaryCondition = AccelerationBaseMotionBC(name, createStepName, dof,
amplitudeScaleFactor,
centerOfRotation, correlation,
secondaryBase, useComplex,
amplitude)
self.steps[createStepName].boundaryConditionStates[name] = AccelerationBaseMotionBCState()
return boundaryCondition
def AccelerationBC(self, name: str, createStepName: str, region: Region, fieldName: str = '',
a1: typing.Union[SymbolicConstant, float] = UNSET,
a2: typing.Union[SymbolicConstant, float] = UNSET,
a3: typing.Union[SymbolicConstant, float] = UNSET,
ar1: typing.Union[SymbolicConstant, float] = UNSET,
ar2: typing.Union[SymbolicConstant, float] = UNSET,
ar3: typing.Union[SymbolicConstant, float] = UNSET, amplitude: str = UNSET,
localCsys: str = None, distributionType: SymbolicConstant = UNIFORM) -> AccelerationBC:
"""This method creates an AccelerationBC object.
Notes
-----
This function can be accessed by:
.. code-block:: python
mdb.models[name].AccelerationBC
Parameters
----------
name
A String specifying the boundary condition repository key.
createStepName
A String specifying the name of the step in which the boundary condition is created.
region
A Region object specifying the region to which the boundary condition is applied.
fieldName
A String specifying the name of the AnalyticalField object associated with this boundary
condition. The *fieldName* argument applies only when *distributionType*=FIELD. The
default value is an empty string.
a1
A Float or a SymbolicConstant specifying the acceleration component in the 1-direction.
Possible values for the SymbolicConstant are UNSET and SET. The default value is
UNSET.Note:Although *a1*, *a2*, *a3*, *ar1*, *ar2*, and *ar3* are optional arguments, at
least one of them must be specified.
a2
A Float or a SymbolicConstant specifying the acceleration component in the 2-direction.
Possible values for the SymbolicConstant are UNSET and SET. The default value is UNSET.
a3
A Float or a SymbolicConstant specifying the acceleration component in the 3-direction.
Possible values for the SymbolicConstant are UNSET and SET. The default value is UNSET.
ar1
A Float or a SymbolicConstant specifying the rotational acceleration component about the
1-direction. Possible values for the SymbolicConstant are UNSET and SET. The default
value is UNSET.
ar2
A Float or a SymbolicConstant specifying the rotational acceleration component about the
2-direction. Possible values for the SymbolicConstant are UNSET and SET. The default
value is UNSET.
ar3
A Float or a SymbolicConstant specifying the rotational acceleration component about the
3-direction. Possible values for the SymbolicConstant are UNSET and SET. The default
value is UNSET.
amplitude
A String or the SymbolicConstant UNSET specifying the name of the amplitude reference.
UNSET should be used if the boundary condition has no amplitude reference. The default
value is UNSET. You should provide the *amplitude* argument only if it is valid for the
specified step.
localCsys
None or a DatumCsys object specifying the local coordinate system of the boundary
condition's degrees of freedom. If *localCsys*=None, the degrees of freedom are defined
in the global coordinate system. The default value is None.
distributionType
A SymbolicConstant specifying how the boundary condition is distributed spatially.
Possible values are UNIFORM, USER_DEFINED, and FIELD. The default value is UNIFORM.
Returns
-------
bc: AccelerationBC
An AccelerationBC object.
"""
self.boundaryConditions[name] = boundaryCondition = AccelerationBC(name, createStepName, region, fieldName, a1,
a2, a3, ar1, ar2, ar3, amplitude, localCsys,
distributionType)
self.steps[createStepName].boundaryConditionStates[name] = AccelerationBCState()
return boundaryCondition
def AcousticPressureBC(self, name: str, createStepName: str, region: Region, fieldName: str = '',
magnitude: float = 0, distributionType: SymbolicConstant = UNIFORM,
amplitude: str = UNSET, fixed: Boolean = OFF) -> AcousticPressureBC:
"""This method creates a AcousticPressureBC object.
Notes
-----
This function can be accessed by:
.. code-block:: python
mdb.models[name].AcousticPressureBC
Parameters
----------
name
A String specifying the boundary condition repository key.
createStepName
A String specifying the name of the step in which the boundary condition is created.
region
A Region object specifying the region to which the boundary condition is applied.
fieldName
A String specifying the name of the AnalyticalField object associated with this boundary
condition. The *fieldName* argument applies only when *distributionType*=FIELD. The
default value is an empty string.
magnitude
A Float specifying the acoustic pressure magnitude. The default value is 0. The
*magnitude* argument is optional if *distributionType*=USER_DEFINED.
distributionType
A SymbolicConstant specifying how the boundary condition is distributed spatially.
Possible values are UNIFORM, USER_DEFINED, and FIELD. The default value is UNIFORM.
amplitude
A String or the SymbolicConstant UNSET specifying the name of the amplitude reference.
UNSET should be used if the boundary condition has no amplitude reference. The default
value is UNSET. You should provide the *amplitude* argument only if it is valid for the
specified step.
fixed
A Boolean specifying whether the boundary condition should remain fixed at the current
values at the start of the step. The default value is OFF.
Returns
-------
bc: AcousticPressureBC
An AcousticPressureBC object.
"""
self.boundaryConditions[name] = boundaryCondition = AcousticPressureBC(name, createStepName, region, fieldName,
magnitude, distributionType, amplitude,
fixed)
self.steps[createStepName].boundaryConditionStates[name] = AcousticPressureBCState()
return boundaryCondition
def Calibration(self, name: str) -> Calibration:
"""This method creates a Calibration object.
Notes
-----
This function can be accessed by:
.. code-block:: python
mdb.models[name].Calibration
Parameters
----------
name
A String specifying the name of the new calibration.
Returns
-------
calibration: Calibration
A Calibration object.
"""
self.boundaryConditions[name] = boundaryCondition = Calibration(name)
return boundaryCondition
def ConcentrationBC(self, name: str, createStepName: str, region: Region, fieldName: str = '',
magnitude: float = 0, distributionType: SymbolicConstant = UNIFORM,
amplitude: str = UNSET, fixed: Boolean = OFF) -> ConcentrationBC:
"""This method creates a ConcentrationBC object.
Notes
-----
This function can be accessed by:
.. code-block:: python
mdb.models[name].ConcentrationBC
Parameters
----------
name
A String specifying the boundary condition repository key.
createStepName
A String specifying the name of the step in which the boundary condition is created.
region
A Region object specifying the region to which the boundary condition is applied.
fieldName
A String specifying the name of the AnalyticalField object associated with this boundary
condition. The *fieldName* argument applies only when *distributionType*=FIELD. The
default value is an empty string.
magnitude
A Float specifying the concentration magnitude. The default value is 0. The *magnitude*
argument is optional if *distributionType*=USER_DEFINED.
distributionType
A SymbolicConstant specifying how the boundary condition is distributed spatially.
Possible values are UNIFORM, USER_DEFINED, and FIELD. The default value is UNIFORM.
amplitude
A String or the SymbolicConstant UNSET specifying the name of the amplitude reference.
UNSET should be used if the boundary condition has no amplitude reference. The default
value is UNSET. You should provide the *amplitude* argument only if it is valid for the
specified step.
fixed
A Boolean specifying whether the boundary condition should remain fixed at the current
values at the start of the step. The default value is OFF.
Returns
-------
bc: ConcentrationBC
A ConcentrationBC object.
"""
self.boundaryConditions[name] = boundaryCondition = ConcentrationBC(name, createStepName, region, fieldName,
magnitude, distributionType, amplitude,
fixed)
self.steps[createStepName].boundaryConditionStates[name] = ConcentrationBCState()
return boundaryCondition
def ConnAccelerationBC(self, name: str, createStepName: str, region: str = '', fastenerName: str = '',
fastenerSetName: str = '', a1: typing.Union[SymbolicConstant, float] = UNSET,
a2: typing.Union[SymbolicConstant, float] = UNSET,
a3: typing.Union[SymbolicConstant, float] = UNSET,
ar1: typing.Union[SymbolicConstant, float] = UNSET,
ar2: typing.Union[SymbolicConstant, float] = UNSET,
ar3: typing.Union[SymbolicConstant, float] = UNSET, amplitude: str = UNSET,
distributionType: SymbolicConstant = UNIFORM) -> ConnAccelerationBC:
"""This method creates an ConnAccelerationBC object on a wire region. Alternatively, the
boundary condition may also be applied to a wire set referenced from an assembled
fastener template model.
Notes
-----
This function can be accessed by:
.. code-block:: python
mdb.models[name].ConnAccelerationBC
Parameters
----------
name
A String specifying the boundary condition repository key.
createStepName
A String specifying the name of the step in which the boundary condition is created.
region
The wire region to which the boundary condition is applied. This argument is not valid
when *fastenerName* and *fastenerSetName* are specified.
fastenerName
A String specifying the name of the assembled fastener to which the boundary condition
will be applied. This argument is not valid when *region* is specified. When this
argument is specified, *fastenerSetName* must also be specified. The default value is an
empty string.
fastenerSetName
A String specifying the assembled fastener template model set to which the boundary
condition will be applied. This argument is not valid when *region* is specified. When
this argument is specified, *fastenerName* must also be specified. The default value is
an empty string.
a1
A Float or a SymbolicConstant specifying the acceleration component in the connector's
local 1-direction. Possible values for the SymbolicConstant are UNSET and SET. The
default value is UNSET.Note:Although *a1*, *a2*, *a3*, *ar1*, *ar2*, and *ar3* are
optional arguments, at least one of them must be specified.
a2
A Float or a SymbolicConstant specifying the acceleration component in the connector's
local 2-direction. Possible values for the SymbolicConstant are UNSET and SET. The
default value is UNSET.
a3
A Float or a SymbolicConstant specifying the acceleration component in the connector's
local 3-direction. Possible values for the SymbolicConstant are UNSET and SET. The
default value is UNSET.
ar1
A Float or a SymbolicConstant specifying the rotational acceleration component in the
connector's local 4-direction. Possible values for the SymbolicConstant are UNSET and
SET. The default value is UNSET.
ar2
A Float or a SymbolicConstant specifying the rotational acceleration component in the
connector's local 5-direction. Possible values for the SymbolicConstant are UNSET and
SET. The default value is UNSET.
ar3
A Float or a SymbolicConstant specifying the rotational acceleration component in the
connector's local 6-direction. Possible values for the SymbolicConstant are UNSET and
SET. The default value is UNSET.
amplitude
A String or the SymbolicConstant UNSET specifying the name of the amplitude reference.
UNSET should be used if the boundary condition has no amplitude reference. The default
value is UNSET. You should provide the *amplitude* argument only if it is valid for the
specified step.
distributionType
A SymbolicConstant specifying how the boundary condition is distributed spatially.
Possible values are UNIFORM and USER_DEFINED. The default value is UNIFORM.
Returns
-------
bc: ConnAccelerationBC
A ConnAccelerationBC object.
"""
self.boundaryConditions[name] = boundaryCondition = ConnAccelerationBC(name, createStepName, region,
fastenerName, fastenerSetName, a1, a2,
a3, ar1, ar2, ar3, amplitude,
distributionType)
self.steps[createStepName].boundaryConditionStates[name] = ConnAccelerationBCState()
return boundaryCondition
def ConnDisplacementBC(self, name: str, createStepName: str, region: str = '', fastenerName: str = '',
fastenerSetName: str = '', u1: typing.Union[SymbolicConstant, float] = UNSET,
u2: typing.Union[SymbolicConstant, float] = UNSET,
u3: typing.Union[SymbolicConstant, float] = UNSET,
ur1: typing.Union[SymbolicConstant, float] = UNSET,
ur2: typing.Union[SymbolicConstant, float] = UNSET,
ur3: typing.Union[SymbolicConstant, float] = UNSET, fixed: Boolean = OFF,
amplitude: str = UNSET, distributionType: SymbolicConstant = UNIFORM,
buckleCase: SymbolicConstant = NOT_APPLICABLE) -> ConnDisplacementBC:
"""This method creates a ConnDisplacementBC object on a wire region. Alternatively, the
boundary condition may also be applied to a wire set referenced from an assembled
fastener template model.
Notes
-----
This function can be accessed by:
.. code-block:: python
mdb.models[name].ConnDisplacementBC
Parameters
----------
name
A String specifying the boundary condition repository key.
createStepName
A String specifying the name of the step in which the boundary condition is created.
region
The wire region to which the boundary condition is applied. This argument is not valid
when *fastenerName* and *fastenerSetName* are specified.
fastenerName
A String specifying the name of the assembled fastener to which the boundary condition
will be applied. This argument is not valid when *region* is specified. When this
argument is specified, *fastenerSetName* must also be specified. The default value is an
empty string.
fastenerSetName
A String specifying the assembled fastener template model set to which the boundary
condition will be applied. This argument is not valid when *region* is specified. When
this argument is specified, *fastenerName* must also be specified. The default value is
an empty string.
u1
A Float, a Complex, or a SymbolicConstant specifying the displacement component in the
connector's local 1-direction. Possible values for the SymbolicConstant are UNSET and
SET. The default value is UNSET.Note:Although *u1*, *u2*, *u3*, *ur1*, *ur2*, and *ur3*
are optional arguments, at least one of them must be specified.
u2
A Float, a Complex, or a SymbolicConstant specifying the displacement component in the
connector's local 2-direction. Possible values for the SymbolicConstant are UNSET and
SET. The default value is UNSET.
u3
A Float, a Complex, or a SymbolicConstant specifying the displacement component in the
connector's local 3-direction. Possible values for the SymbolicConstant are UNSET and
SET. The default value is UNSET.
ur1
A Float, a Complex, or a SymbolicConstant specifying the rotational component in the
connector's local 4-direction. Possible values for the SymbolicConstant are UNSET and
SET. The default value is UNSET.
ur2
A Float, a Complex, or a SymbolicConstant specifying the rotational component in the
connector's local 5-direction. Possible values for the SymbolicConstant are UNSET and
SET. The default value is UNSET.
ur3
A Float, a Complex, or a SymbolicConstant specifying the rotational component in the
connector's local 6-direction. Possible values for the SymbolicConstant are UNSET and
SET. The default value is UNSET.
fixed
A Boolean specifying whether the boundary condition should remain fixed at the current
values at the start of the step. The default value is OFF.
amplitude
A String or the SymbolicConstant UNSET specifying the name of the amplitude reference.
UNSET should be used if the boundary condition has no amplitude reference. The default
value is UNSET. You should provide the *amplitude* argument only if it is valid for the
specified step.
distributionType
A SymbolicConstant specifying how the boundary condition is distributed spatially.
Possible values are UNIFORM and USER_DEFINED. The default value is UNIFORM.
buckleCase
A SymbolicConstant specifying how the boundary condition is defined in a BUCKLE
analysis. Possible values are NOT_APPLICABLE, STRESS_PERTURBATION, BUCKLING_MODES, and
PERTURBATION_AND_BUCKLING. The default value is NOT_APPLICABLE.
Returns
-------
bc: ConnDisplacementBC
A ConnDisplacementBC object.
"""
self.boundaryConditions[name] = boundaryCondition = ConnDisplacementBC(name, createStepName, region,
fastenerName, fastenerSetName, u1, u2,
u3, ur1, ur2, ur3, fixed, amplitude,
distributionType, buckleCase)
self.steps[createStepName].boundaryConditionStates[name] = ConnDisplacementBCState()
return boundaryCondition
def ConnVelocityBC(self, name: str, createStepName: str, region: str = '', fastenerName: str = '',
fastenerSetName: str = '', v1: typing.Union[SymbolicConstant, float] = UNSET,
v2: typing.Union[SymbolicConstant, float] = UNSET,
v3: typing.Union[SymbolicConstant, float] = UNSET,
vr1: typing.Union[SymbolicConstant, float] = UNSET,
vr2: typing.Union[SymbolicConstant, float] = UNSET,
vr3: typing.Union[SymbolicConstant, float] = UNSET, amplitude: str = UNSET,
distributionType: SymbolicConstant = UNIFORM) -> ConnVelocityBC:
"""This method creates a ConnVelocityBC object on a wire region. Alternatively, the
boundary condition may also be applied to a wire set referenced from an assembled
fastener template model.
Notes
-----
This function can be accessed by:
.. code-block:: python
mdb.models[name].ConnVelocityBC
Parameters
----------
name
A String specifying the boundary condition repository key.
createStepName
A String specifying the name of the step in which the boundary condition is created.
region
The wire region to which the boundary condition is applied. This argument is not valid
when *fastenerName* and *fastenerSetName* are specified.
fastenerName
A String specifying the name of the assembled fastener to which the boundary condition
will be applied. This argument is not valid when *region* is specified. When this
argument is specified, *fastenerSetName* must also be specified. The default value is an
empty string.
fastenerSetName
A String specifying the assembled fastener template model set to which the boundary
condition will be applied. This argument is not valid when *region* is specified. When
this argument is specified, *fastenerName* must also be specified. The default value is
an empty string.
v1
A Float or a SymbolicConstant specifying the velocity component in the connector's local
1-direction. Possible values for the SymbolicConstant are UNSET and SET. The default
value is UNSET.Note:Although *v1*, *v2*, *v3*, *vr1*, *vr2*, and *vr3* are optional
arguments, at least one of them must be specified.
v2
A Float or a SymbolicConstant specifying the velocity component in the connector's local
2-direction. Possible values for the SymbolicConstant are UNSET and SET. The default
value is UNSET.
v3
A Float or a SymbolicConstant specifying the velocity component in the connector's local
3-direction. Possible values for the SymbolicConstant are UNSET and SET. The default
value is UNSET.
vr1
A Float or a SymbolicConstant specifying the rotational velocity component in the
connector's local 4-direction. Possible values for the SymbolicConstant are UNSET and
SET. The default value is UNSET.
vr2
A Float or a SymbolicConstant specifying the rotational velocity component in the
connector's local 5-direction. Possible values for the SymbolicConstant are UNSET and
SET. The default value is UNSET.
vr3
A Float or a SymbolicConstant specifying the rotational velocity component in the
connector's local 6-direction. Possible values for the SymbolicConstant are UNSET and
SET. The default value is UNSET.
amplitude
A String or the SymbolicConstant UNSET specifying the name of the amplitude reference.
UNSET should be used if the boundary condition has no amplitude reference. The default
value is UNSET. You should provide the *amplitude* argument only if it is valid for the
specified step.
distributionType
A SymbolicConstant specifying how the boundary condition is distributed spatially.
Possible values are UNIFORM and USER_DEFINED. The default value is UNIFORM.
Returns
-------
bc: ConnVelocityBC
A ConnVelocityBC object.
"""
self.boundaryConditions[name] = boundaryCondition = ConnVelocityBC(name, createStepName, region, fastenerName,
fastenerSetName, v1, v2, v3, vr1, vr2, vr3,
amplitude, distributionType)
self.steps[createStepName].boundaryConditionStates[name] = ConnVelocityBCState()
return boundaryCondition
def DisplacementBaseMotionBC(self, name: str, createStepName: str, dof: SymbolicConstant,
amplitudeScaleFactor: float = 1,
centerOfRotation: tuple = (), correlation: CorrelationArray = None,
secondaryBase: str = '', useComplex: Boolean = OFF,
amplitude: str = UNSET) -> DisplacementBaseMotionBC:
"""This method creates a DisplacementBaseMotionBC object.
Notes
-----
This function can be accessed by:
.. code-block:: python
mdb.models[name].DisplacementBaseMotionBC
Parameters
----------
name
A String specifying the boundary condition repository key.
createStepName
A String specifying the name of the step in which the boundary condition is created.
dof
A SymbolicConstant specifying the constrained degree-of-freedom. Possible values for the
SymbolicConstant are U1, U2, U3, UR1, UR2, UR3. The default value is U1.
amplitudeScaleFactor
A Float specifying the scale factor for the amplitude curve. The default value is 1.0.
centerOfRotation
A ModelDot object specifying a tuple containing one center of rotation. The default
value is the global origin. This argument applies only when *dof*=UR1, UR2, or UR3.
correlation
A CorrelationArray object.
secondaryBase
A String specifying the name of the SecondaryBaseBC object associated with this boundary
condition. The default value is an empty string.
useComplex
A Boolean specifying whether to define the imaginary (out-of-plane) portion of the base
motion record given by amplitude definition. The default value is OFF.
amplitude
A String or the SymbolicConstant UNSET specifying the name of the amplitude reference.
UNSET should be used if the boundary condition has no amplitude reference. The default
value is UNSET. You should provide the *amplitude* argument only if it is valid for the
specified step.
Returns
-------
bc: DisplacementBaseMotionBC
A DisplacementBaseMotionBC object.
"""
self.boundaryConditions[name] = boundaryCondition = DisplacementBaseMotionBC(name, createStepName, dof,
amplitudeScaleFactor,
centerOfRotation, correlation,
secondaryBase, useComplex,
amplitude)
self.steps[createStepName].boundaryConditionStates[name] = DisplacementBaseMotionBCState()
return boundaryCondition
def DisplacementBC(self, name: str, createStepName: str, region: Region, fieldName: str = '',
u1: typing.Union[SymbolicConstant, float] = UNSET,
u2: typing.Union[SymbolicConstant, float] = UNSET,
u3: typing.Union[SymbolicConstant, float] = UNSET,
ur1: typing.Union[SymbolicConstant, float] = UNSET,
ur2: typing.Union[SymbolicConstant, float] = UNSET,
ur3: typing.Union[SymbolicConstant, float] = UNSET, fixed: Boolean = OFF,
amplitude: str = UNSET, distributionType: SymbolicConstant = UNIFORM,
localCsys: str = None, buckleCase: SymbolicConstant = NOT_APPLICABLE) -> DisplacementBC:
"""This method creates a DisplacementBC object.
Notes
-----
This function can be accessed by:
.. code-block:: python
mdb.models[name].DisplacementBC
Parameters
----------
name
A String specifying the boundary condition repository key.
createStepName
A String specifying the name of the step in which the boundary condition is created.
region
A Region object specifying the region to which the boundary condition is applied.
fieldName
A String specifying the name of the AnalyticalField or DiscreteField object associated
with this boundary condition. The *fieldName* argument applies only when
*distributionType*=FIELD or *distributionType*=DISCRETE_FIELD. The default value is an
empty string.
u1
A Float, a Complex, or a SymbolicConstant specifying the displacement component in the
1-direction. Possible values for the SymbolicConstant are UNSET and SET. The default
value is UNSET.Note:Although *u1*, *u2*, *u3*, *ur1*, *ur2*, and *ur3* are optional
arguments, at least one of them must be specified.
u2
A Float, a Complex, or a SymbolicConstant specifying the displacement component in the
2-direction. Possible values for the SymbolicConstant are UNSET and SET. The default
value is UNSET.
u3
A Float, a Complex, or a SymbolicConstant specifying the displacement component in the
3-direction. Possible values for the SymbolicConstant are UNSET and SET. The default
value is UNSET.
ur1
A Float, a Complex, or a SymbolicConstant specifying the rotational displacement
component about the 1-direction. Possible values for the SymbolicConstant are UNSET and
SET. The default value is UNSET.
ur2
A Float, a Complex, or a SymbolicConstant specifying the rotational displacement
component about the 2-direction. Possible values for the SymbolicConstant are UNSET and
SET. The default value is UNSET.
ur3
A Float, a Complex, or a SymbolicConstant specifying the rotational displacement
component about the 3-direction. Possible values for the SymbolicConstant are UNSET and
SET. The default value is UNSET.
fixed
A Boolean specifying whether the boundary condition should remain fixed at the current
values at the start of the step. The default value is OFF.
amplitude
A String or the SymbolicConstant UNSET specifying the name of the amplitude reference.
UNSET should be used if the boundary condition has no amplitude reference. The default
value is UNSET. You should provide the *amplitude* argument only if it is valid for the
specified step.
distributionType
A SymbolicConstant specifying how the boundary condition is distributed spatially.
Possible values are UNIFORM, USER_DEFINED, FIELD, and DISCRETE_FIELD. The default value
is UNIFORM.
localCsys
None or a DatumCsys object specifying the local coordinate system of the boundary
condition's degrees of freedom. If *localCsys*=None, the degrees of freedom are defined
in the global coordinate system. The default value is None.
buckleCase
A SymbolicConstant specifying how the boundary condition is defined in a BUCKLE
analysis. Possible values are NOT_APPLICABLE, STRESS_PERTURBATION, BUCKLING_MODES, and
PERTURBATION_AND_BUCKLING. The default value is NOT_APPLICABLE.
Returns
-------
bc: DisplacementBC
A DisplacementBC object
"""
self.boundaryConditions[name] = boundaryCondition = DisplacementBC(name, createStepName, region, fieldName, u1,
u2, u3, ur1, ur2, ur3, fixed, amplitude,
distributionType, localCsys, buckleCase)
self.steps[createStepName].boundaryConditionStates[name] = DisplacementBCState()
return boundaryCondition
def ElectricPotentialBC(self, name: str, createStepName: str, region: Region, fieldName: str = '',
magnitude: float = 0, distributionType: SymbolicConstant = UNIFORM,
amplitude: str = UNSET, fixed: Boolean = OFF) -> ElectricPotentialBC:
"""This method creates an ElectricPotentialBC object.
Notes
-----
This function can be accessed by:
.. code-block:: python
mdb.models[name].ElectricPotentialBC
Parameters
----------
name
A String specifying the boundary condition repository key.
createStepName
A String specifying the name of the step in which the boundary condition is created.
region
A Region object specifying the region to which the boundary condition is applied.
fieldName
A String specifying the name of the AnalyticalField object associated with this boundary
condition. The *fieldName* argument applies only when *distributionType*=FIELD. The
default value is an empty string.
magnitude
A Float specifying the electrical potential magnitude. The default value is 0. The
*magnitude* argument is optional if *distributionType*=USER_DEFINED.
distributionType
A SymbolicConstant specifying how the boundary condition is distributed spatially.
Possible values are UNIFORM, USER_DEFINED, and FIELD. The default value is UNIFORM.
amplitude
A String or the SymbolicConstant UNSET specifying the name of the amplitude reference.
UNSET should be used if the boundary condition has no amplitude reference. The default
value is UNSET. You should provide the *amplitude* argument only if it is valid for the
specified step.
fixed
A Boolean specifying whether the boundary condition should remain fixed at the current
values at the start of the step. The default value is OFF.
Returns
-------
bc: ElectricPotentialBC
An ElectricPotentialBC object.
"""
self.boundaryConditions[name] = boundaryCondition = ElectricPotentialBC(name, createStepName, region, fieldName,
magnitude, distributionType, amplitude,
fixed)
self.steps[createStepName].boundaryConditionStates[name] = ElectricPotentialBCState()
return boundaryCondition
def EulerianBC(self, name: str, createStepName: str, region: Region, definition: SymbolicConstant = INFLOW,
inflowType: SymbolicConstant = FREE, outflowType: SymbolicConstant = ZERO_PRESSURE) -> EulerianBC:
"""This method creates a EulerianBC object.
Notes
-----
This function can be accessed by:
.. code-block:: python
mdb.models[name].EulerianBC
Parameters
----------
name
A String specifying the boundary condition repository key.
createStepName
A String specifying the name of the step in which the boundary condition is created.
region
A Region object specifying the region to which the boundary condition is applied.
definition
A SymbolicConstant specifying the flow conditions to be defined. Possible values are
INFLOW, OUTFLOW, and BOTH. The default value is INFLOW.
inflowType
A SymbolicConstant specifying the control of material flow into the Eulerian domain.
Possible values are FREE, NONE, and VOID. The default value is FREE.
outflowType
A SymbolicConstant specifying the control of flow of material out of the Eulerian
domain. Possible values are ZERO_PRESSURE, FREE, NON_REFLECTING, and EQUILIBRIUM. The
default value is ZERO_PRESSURE.
Returns
-------
bc: EulerianBC
An EulerianBC object.
"""
self.boundaryConditions[name] = boundaryCondition = EulerianBC(name, createStepName, region, definition,
inflowType, outflowType)
self.steps[createStepName].boundaryConditionStates[name] = EulerianBCState()
return boundaryCondition
def EulerianMotionBC(self, name: str, createStepName: str, instanceName: str, followRegion: Boolean = ON,
region: Region = Region(), materialName: str = '',
ctrPosition1: SymbolicConstant = FREE, posPosition1: SymbolicConstant = FREE,
negPosition1: SymbolicConstant = FREE, expansionRatio1: float = None,
contractRatio1: float = 0, ctrPosition2: SymbolicConstant = FREE,
posPosition2: SymbolicConstant = FREE, negPosition2: SymbolicConstant = FREE,
expansionRatio2: float = None, contractRatio2: float = 0,
ctrPosition3: SymbolicConstant = FREE, posPosition3: SymbolicConstant = FREE,
negPosition3: SymbolicConstant = FREE, expansionRatio3: float = None,
contractRatio3: float = 0, allowContraction: Boolean = ON, aspectLimit: float = 10,
vmaxFactor: float = 1, volThreshold: float = 0, bufferSize: float = 2) -> EulerianMotionBC:
"""This method creates an EulerianMotionBC object.
Notes
-----
This function can be accessed by:
.. code-block:: python
mdb.models[name].EulerianMotionBC
Parameters
----------
name
A String specifying the boundary condition repository key.
createStepName
A String specifying the name of the step in which the boundary condition is created.
instanceName
A String specifying the name of the Eulerian part instance.
followRegion
A Boolean specifying whether the mesh will follow a regular surface region or an
Eulerian surface. The default value is ON.
region
A Region object specifying the region to which the boundary condition is applied.
materialName
A String specifying the name of the Eulerian surface to follow. This argument applies
only when *followRegion*=False.
ctrPosition1
A SymbolicConstant specifying the 1-direction translational constraint on the center of
the Eulerian mesh. Possible values are FREE and FIXED. The default value is FREE.
posPosition1
A SymbolicConstant specifying the translational constraint on the positive (maximum)
bounds of the mesh in the 1 direction. Possible values are FREE and FIXED. The default
value is FREE.
negPosition1
A SymbolicConstant specifying the translational constraint on the negative (minimum)
bounds of the mesh in the 1 direction. Possible values are FREE and FIXED. The default
value is FREE.
expansionRatio1
None or a Float specifying the upper bounds on the allowable scaling of the mesh in the
1 direction. If *expansionRatio1*=None, then there is no upper limit. The default value
is None.
contractRatio1
A Float specifying the lower bounds on the allowable scaling of the mesh in the 1
direction. The default value is 0.0.
ctrPosition2
A SymbolicConstant specifying the 2-direction translational constraint on the center of
the Eulerian mesh. Possible values are FREE and FIXED. The default value is FREE.
posPosition2
A SymbolicConstant specifying the translational constraint on the positive (maximum)
bounds of the mesh in the 2 direction. Possible values are FREE and FIXED. The default
value is FREE.
negPosition2
A SymbolicConstant specifying the translational constraint on the negative (minimum)
bounds of the mesh in the 2 direction. Possible values are FREE and FIXED. The default
value is FREE.
expansionRatio2
None or a Float specifying the upper bounds on the allowable scaling of the mesh in the
2 direction. If *expansionRatio2*=None, then there is no upper limit. The default value
is None.
contractRatio2
A Float specifying the lower bounds on the allowable scaling of the mesh in the 2
direction. The default value is 0.0.
ctrPosition3
A SymbolicConstant specifying the 3-direction translational constraint on the center of
the Eulerian mesh. Possible values are FREE and FIXED. The default value is FREE.
posPosition3
A SymbolicConstant specifying the translational constraint on the positive (maximum)
bounds of the mesh in the 3 direction. Possible values are FREE and FIXED. The default
value is FREE.
negPosition3
A SymbolicConstant specifying the translational constraint on the negative (minimum)
bounds of the mesh in the 3 direction. Possible values are FREE and FIXED. The default
value is FREE.
expansionRatio3
None or a Float specifying the upper bounds on the allowable scaling of the mesh in the
3 direction. If *expansionRatio3*=None, then there is no upper limit. The default value
is None.
contractRatio3
A Float specifying the lower bounds on the allowable scaling of the mesh in the 3
direction. The default value is 0.0.
allowContraction
A Boolean specifying whether the mesh is allowed to contract . The default value is ON.
aspectLimit
A Float specifying the maximum change in allowed aspect ratio (for any of the three mesh
aspects, 1-2, 2-3, 3-1). The default value is 10.0.
vmaxFactor
A Float specifying the multiplier for the mesh nodal velocity limit. The default value
is 1.01.
volThreshold
A Float specifying the lower bounds on the volume fraction when determining which nodes
to include in the surface bounding box calculation for an Eulerian material surface.
This argument applies only when *followRegion*=False. The default value is 0.5.
bufferSize
None or a Float specifying the buffer between the surface box and the Eulerian section
mesh bounding box. The default value is 2.0.
Returns
-------
bc: EulerianMotionBC
An EulerianMotionBC object.
"""
self.boundaryConditions[name] = boundaryCondition = EulerianMotionBC(name, createStepName, instanceName,
followRegion, region, materialName,
ctrPosition1, posPosition1, negPosition1,
expansionRatio1, contractRatio1,
ctrPosition2, posPosition2, negPosition2,
expansionRatio2, contractRatio2,
ctrPosition3, posPosition3, negPosition3,
expansionRatio3, contractRatio3,
allowContraction, aspectLimit, vmaxFactor,
volThreshold, bufferSize)
self.steps[createStepName].boundaryConditionStates[name] = EulerianMotionBCState()
return boundaryCondition
def FluidCavityPressureBC(self, name: str, createStepName: str, fluidCavity: str, magnitude: float = 0,
amplitude: str = UNSET, fixed: Boolean = OFF) -> FluidCavityPressureBC:
"""This method creates a FluidCavityPressureBC object.
Notes
-----
This function can be accessed by:
.. code-block:: python
mdb.models[name].FluidCavityPressureBC
Parameters
----------
name
A String specifying the boundary condition repository key.
createStepName
A String specifying the name of the step in which the boundary condition is created.
fluidCavity
A String specifying the name of a Fluid Cavity Interaction.
magnitude
A Float specifying the fluid cavity pressure magnitude. The default value is 0.
amplitude
A String or the SymbolicConstant UNSET specifying the name of the amplitude reference.
UNSET should be used if the boundary condition has no amplitude reference. The default
value is UNSET. You should provide the *amplitude* argument only if it is valid for the
specified step.
fixed
A Boolean specifying whether the boundary condition should remain fixed at the current
values at the start of the step. The default value is OFF.
Returns
-------
bc: FluidCavityPressureBC
A FluidCavityPressureBC object.
"""
self.boundaryConditions[name] = boundaryCondition = FluidCavityPressureBC(name, createStepName, fluidCavity,
magnitude, amplitude, fixed)
self.steps[createStepName].boundaryConditionStates[name] = FluidCavityPressureBCState()
return boundaryCondition
def MagneticVectorPotentialBC(self, name: str, createStepName: str, region: Region,
component1: SymbolicConstant = None,
component2: SymbolicConstant = UNSET, component3: SymbolicConstant = UNSET,
amplitude: str = UNSET, distributionType: SymbolicConstant = UNIFORM,
localCsys: str = None) -> MagneticVectorPotentialBC:
"""This method creates a MagneticVectorPotentialBC object.
Notes
-----
This function can be accessed by:
.. code-block:: python
mdb.models[name].MagneticVectorPotentialBC
Parameters
----------
name
A String specifying the boundary condition repository key.
createStepName
A String specifying the name of the step in which the boundary condition is created.
region
A Region object specifying the region to which the boundary condition is applied.
component1
A Complex, or a SymbolicConstant specifying the magnetic vector potential component in
the 1-direction. Possible values for the SymbolicConstant are UNSET and SET. The default
value is UNSET
component2
A Complex, or a SymbolicConstant specifying the magnetic vector potential component in
the 2-direction. Possible values for the SymbolicConstant are UNSET and SET. The default
value is UNSET.
component3
A Complex, or a SymbolicConstant specifying the magnetic vector potential component in
the 3-direction. Possible values for the SymbolicConstant are UNSET and SET. The default
value is UNSET.
amplitude
A String or the SymbolicConstant UNSET specifying the name of the amplitude reference.
UNSET should be used if the boundary condition has no amplitude reference. The default
value is UNSET. You should provide the *amplitude* argument only if it is valid for the
specified step.
distributionType
A SymbolicConstant specifying how the boundary condition is distributed spatially.
Possible values are UNIFORM and USER_DEFINED. The default value is UNIFORM.
localCsys
None or a DatumCsys object specifying the local coordinate system of the boundary
condition's degrees of freedom. If *localCsys*=None, the degrees of freedom are defined
in the global coordinate system. The default value is None.
Returns
-------
bc: MagneticVectorPotentialBC
A MagneticVectorPotentialBC object.
"""
self.boundaryConditions[name] = boundaryCondition = MagneticVectorPotentialBC(name, createStepName, region,
component1, component2,
component3, amplitude,
distributionType, localCsys)
return boundaryCondition
def MaterialFlowBC(self, name: str, createStepName: str, region: Region, fieldName: str = '',
magnitude: float = 0, distributionType: SymbolicConstant = UNIFORM,
amplitude: str = UNSET, fixed: Boolean = OFF) -> MaterialFlowBC:
"""This method creates a MaterialFlowBC object.
Notes
-----
This function can be accessed by:
.. code-block:: python
mdb.models[name].MaterialFlowBC
Parameters
----------
name
A String specifying the boundary condition repository key.
createStepName
A String specifying the name of the step in which the boundary condition is created.
region
A Region object specifying the region to which the boundary condition is applied.
fieldName
A String specifying the name of the AnalyticalField object associated with this boundary
condition. The *fieldName* argument applies only when *distributionType*=FIELD. The
default value is an empty string.
magnitude
A Float specifying the material flow magnitude. The default value is 0. The *magnitude*
argument is optional if *distributionType*=USER_DEFINED.
distributionType
A SymbolicConstant specifying how the boundary condition is distributed spatially.
Possible values are UNIFORM, USER_DEFINED, and FIELD. The default value is UNIFORM.
amplitude
A String or the SymbolicConstant UNSET specifying the name of the amplitude reference.
UNSET should be used if the boundary condition has no amplitude reference. The default
value is UNSET. You should provide the *amplitude* argument only if it is valid for the
specified step.
fixed
A Boolean specifying whether the boundary condition should remain fixed at the current
values at the start of the step. The default value is OFF.
Returns
-------
bc: MaterialFlowBC
A MaterialFlowBC object.
"""
self.boundaryConditions[name] = boundaryCondition = MaterialFlowBC(name, createStepName, region, fieldName,
magnitude, distributionType, amplitude,
fixed)
self.steps[createStepName].boundaryConditionStates[name] = MaterialFlowBCState()
return boundaryCondition
def PorePressureBC(self, name: str, createStepName: str, region: Region, fieldName: str = '',
magnitude: float = 0, distributionType: SymbolicConstant = UNIFORM,
amplitude: str = UNSET, fixed: Boolean = OFF) -> PorePressureBC:
"""This method creates a PorePressureBC object.
Notes
-----
This function can be accessed by:
.. code-block:: python
mdb.models[name].PorePressureBC
Parameters
----------
name
A String specifying the boundary condition repository key.
createStepName
A String specifying the name of the step in which the boundary condition is created.
region
A Region object specifying the region to which the boundary condition is applied.
fieldName
A String specifying the name of the AnalyticalField object associated with this boundary
condition. The *fieldName* argument applies only when *distributionType*=FIELD. The
default value is an empty string.
magnitude
A Float specifying the pore pressure magnitude. The default value is 0. The *magnitude*
argument is optional if *distributionType*=USER_DEFINED.
distributionType
A SymbolicConstant specifying how the boundary condition is distributed spatially.
Possible values are UNIFORM, USER_DEFINED, and FIELD. The default value is UNIFORM.
amplitude
A String or the SymbolicConstant UNSET specifying the name of the amplitude reference.
UNSET should be used if the boundary condition has no amplitude reference. The default
value is UNSET. You should provide the *amplitude* argument only if it is valid for the
specified step.
fixed
A Boolean specifying whether the boundary condition should remain fixed at the current
values at the start of the step. The default value is OFF.
Returns
-------
bc: PorePressureBC
A PorePressureBC object.
"""
self.boundaryConditions[name] = boundaryCondition = PorePressureBC(name, createStepName, region, fieldName,
magnitude, distributionType, amplitude,
fixed)
self.steps[createStepName].boundaryConditionStates[name] = PorePressureBCState()
return boundaryCondition
def RetainedNodalDofsBC(self, name: str, createStepName: str, region: Region, u1: Boolean = OFF, u2: Boolean = OFF,
u3: Boolean = OFF, ur1: Boolean = OFF, ur2: Boolean = OFF,
ur3: Boolean = OFF) -> RetainedNodalDofsBC:
"""This method creates a RetainedNodalDofsBC object.
Notes
-----
This function can be accessed by:
.. code-block:: python
mdb.models[name].RetainedNodalDofsBC
Parameters
----------
name
A String specifying the boundary condition repository key.
createStepName
A String specifying the name of the step in which the boundary condition is created.
region
A Region object specifying the region to which the boundary condition is applied.
u1
A Boolean specifying whether to retain the degree of freedom in the 1-direction. The
default value is OFF indicating that the degree of freedom is not retained.
u2
A Boolean specifying whether to retain the degree of freedom in the 2-direction. The
default value is OFF indicating that the degree of freedom is not retained.
u3
A Boolean specifying whether to retain the degree of freedom in the 3-direction. The
default value is OFF indicating that the degree of freedom is not retained.
ur1
A Boolean specifying whether to retain the rotational degree of freedom about the
1-direction. The default value is OFF indicating that the degree of freedom is not
retained.
ur2
A Boolean specifying whether to retain the rotational degree of freedom about the
2-direction. The default value is OFF indicating that the degree of freedom is not
retained.
ur3
A Boolean specifying whether to retain the rotational degree of freedom about the
3-direction. The default value is OFF indicating that the degree of freedom is not
retained.
Returns
-------
bc: RetainedNodalDofsBC
A RetainedNodalDofsBC object.
"""
self.boundaryConditions[name] = boundaryCondition = RetainedNodalDofsBC(name, createStepName, region, u1, u2,
u3, ur1, ur2, ur3)
return boundaryCondition
def SecondaryBaseBC(self, name: str, createStepName: str, regions: RegionArray, dofs: tuple) -> SecondaryBaseBC:
"""This method creates a SecondaryBaseBC object.
Notes
-----
This function can be accessed by:
.. code-block:: python
mdb.models[name].SecondaryBaseBC
Parameters
----------
name
A String specifying the boundary condition repository key.
createStepName
A String specifying the name of the step in which the boundary condition is created.
regions
A RegionArray object specifying the region to which the boundary condition is applied.
Note that the usual *region* is ignored. The default value is MODEL.
dofs
A sequence of sequences of Ints specifying the constrained degrees-of-freedom.
Returns
-------
bc: SecondaryBaseBC
A SecondaryBaseBC object.
"""
self.boundaryConditions[name] = boundaryCondition = SecondaryBaseBC(name, createStepName, regions, dofs)
self.steps[createStepName].boundaryConditionStates[name] = SecondaryBaseBCState()
return boundaryCondition
def SubmodelBC(self, name: str, createStepName: str, region: Region, dof: tuple, globalStep: str,
timeScale: Boolean, shellThickness: float, globalDrivingRegion: str = '',
absoluteExteriorTolerance: float = None, exteriorTolerance: float = 0,
localCsys: str = None, globalIncrement: int = 0, centerZoneSize: float = None,
intersectionOnly: Boolean = OFF) -> SubmodelBC:
"""This method creates a SubmodelBC object.
Notes
-----
This function can be accessed by:
.. code-block:: python
mdb.models[name].SubmodelBC
Parameters
----------
name
A String specifying the boundary condition repository key.
createStepName
A String specifying the name of the step in which the boundary condition is created.
region
A Region object specifying the region to which the boundary condition is applied.
dof
A sequence of Ints specifying the degrees of freedom to which the boundary condition is
applied.
globalStep
A String specifying the step in the global model from which Abaqus reads the values of
the variables that will drive the submodel analysis. The String indicates the position
of the step in the sequence of analysis steps. For example, *globalStep*='1' indicates
the first step.
timeScale
A Boolean specifying whether to scale the time variable for the driven nodes' amplitude
functions to match the submodel analysis step time. The default value is OFF.
shellThickness
A Float specifying the thickness of the shell in the global model. This argument is
required for shell-to-solid submodeling and is not applicable to other submodels. The
default value is 0.0.
globalDrivingRegion
A String specifying the element set in the global model that will be searched for
elements whose responses will be used to drive the submodel. An empty string indicates
that the entire global model will be searched. The default value is an empty string.
absoluteExteriorTolerance
None or a Float specifying the absolute value by which a driven node of the submodel can
lie outside the region of the elements of the global model. The default value is None.
exteriorTolerance
None or a Float specifying the fraction of the average element size in the global model
by which a driven node of the submodel can lie outside the region of the elements of the
global model. The default value is 0.05.
localCsys
None or a DatumCsys object specifying the local coordinate system of the boundary
condition's degrees of freedom. If *localCsys*=None, the degrees of freedom are defined
in the global coordinate system. The default value is None.
globalIncrement
An Int specifying the increment number in the global model step from which the solution
will be used to specify the values of the driven variables. If *globalIncrement*=0, the
solution from the last increment will be used. The *globalIncrement* argument is
applicable only for linear perturbation steps. The default value is 0.
centerZoneSize
A Float specifying the thickness of the center zone size around the shell midsurface.
The default value is None.
intersectionOnly
A Boolean specifying whether to ignore driven nodes that lie outside the region of
elements of the global model after accounting for the exterior search tolerance. The
default value is OFF.
Returns
-------
bc: SubmodelBC
A SubmodelBC object.
"""
self.boundaryConditions[name] = boundaryCondition = SubmodelBC(name, createStepName, region, dof, globalStep,
timeScale, shellThickness, globalDrivingRegion,
absoluteExteriorTolerance, exteriorTolerance,
localCsys, globalIncrement, centerZoneSize,
intersectionOnly)
self.steps[createStepName].boundaryConditionStates[name] = SubmodelBCState()
return boundaryCondition
def TemperatureBC(self, name: str, createStepName: str, region: Region, fieldName: str = '',
magnitude: float = 0, dof: tuple = (), amplitude: str = UNSET,
distributionType: SymbolicConstant = UNIFORM, fixed: Boolean = OFF) -> TemperatureBC:
"""This method creates a TemperatureBC object.
Notes
-----
This function can be accessed by:
.. code-block:: python
mdb.models[name].TemperatureBC
Parameters
----------
name
A String specifying the boundary condition repository key.
createStepName
A String specifying the name of the step in which the boundary condition is created.
region
A Region object specifying the region to which the boundary condition is applied.
fieldName
A String specifying the name of the AnalyticalField object associated with this boundary
condition. The *fieldName* argument applies only when *distributionType*=FIELD. The
default value is an empty string.
magnitude
A Float specifying the temperature magnitude. The default value is 0.
dof
A sequence of Ints specifying the degrees of freedom to which the boundary condition is
applied. The default value is (11,).
amplitude
A String or the SymbolicConstant UNSET specifying the name of the amplitude reference.
UNSET should be used if the boundary condition has no amplitude reference. The default
value is UNSET. You should provide the *amplitude* argument only if it is valid for the
specified step.
distributionType
A SymbolicConstant specifying how the boundary condition is distributed spatially.
Possible values are UNIFORM, USER_DEFINED, and FIELD. The default value is UNIFORM.
fixed
A Boolean specifying whether the boundary condition should remain fixed at the current
values at the start of the step. The default value is OFF.
Returns
-------
bc: TemperatureBC
A TemperatureBC object.
"""
self.boundaryConditions[name] = boundaryCondition = TemperatureBC(name, createStepName, region, fieldName,
magnitude, dof, amplitude, distributionType,
fixed)
self.steps[createStepName].boundaryConditionStates[name] = TemperatureBCState()
return boundaryCondition
def VelocityBaseMotionBC(self, name: str, createStepName: str, dof: SymbolicConstant,
amplitudeScaleFactor: float = 1,
centerOfRotation: tuple = (), correlation: CorrelationArray = None,
secondaryBase: str = '', useComplex: Boolean = OFF,
amplitude: str = UNSET) -> VelocityBaseMotionBC:
"""This method creates a VelocityBaseMotionBC object.
Notes
-----
This function can be accessed by:
.. code-block:: python
mdb.models[name].VelocityBaseMotionBC
Parameters
----------
name
A String specifying the boundary condition repository key.
createStepName
A String specifying the name of the step in which the boundary condition is created.
dof
A SymbolicConstant specifying the constrained degree-of-freedom. Possible values for the
SymbolicConstant are U1, U2, U3, UR1, UR2, UR3. The default value is U1.
amplitudeScaleFactor
A Float specifying the scale factor for the amplitude curve. The default value is 1.0.
centerOfRotation
A ModelDot object specifying a tuple containing one center of rotation. The default
value is the global origin. This argument applies only when *dof*=UR1, UR2, or UR3.
correlation
A CorrelationArray object.
secondaryBase
A String specifying the name of the SecondaryBaseBC object associated with this boundary
condition. The default value is an empty string.
useComplex
A Boolean specifying whether to define the imaginary (out-of-plane) portion of the base
motion record given by amplitude definition. The default value is OFF.
amplitude
A String or the SymbolicConstant UNSET specifying the name of the amplitude reference.
UNSET should be used if the boundary condition has no amplitude reference. The default
value is UNSET. You should provide the *amplitude* argument only if it is valid for the
specified step.
Returns
-------
bc: VelocityBaseMotionBC
A VelocityBaseMotionBC object.
"""
self.boundaryConditions[name] = boundaryCondition = VelocityBaseMotionBC(name, createStepName, dof,
amplitudeScaleFactor, centerOfRotation,
correlation, secondaryBase, useComplex,
amplitude)
self.steps[createStepName].boundaryConditionStates[name] = VelocityBaseMotionBCState()
return boundaryCondition
def VelocityBC(self, name: str, createStepName: str, region: Region, fieldName: str = '',
v1: typing.Union[SymbolicConstant, float] = UNSET,
v2: typing.Union[SymbolicConstant, float] = UNSET,
v3: typing.Union[SymbolicConstant, float] = UNSET,
vr1: typing.Union[SymbolicConstant, float] = UNSET,
vr2: typing.Union[SymbolicConstant, float] = UNSET,
vr3: typing.Union[SymbolicConstant, float] = UNSET, amplitude: str = UNSET,
localCsys: str = None, distributionType: SymbolicConstant = UNIFORM) -> VelocityBC:
"""This method creates a VelocityBC object.
Notes
-----
This function can be accessed by:
.. code-block:: python
mdb.models[name].VelocityBC
Parameters
----------
name
A String specifying the boundary condition repository key.
createStepName
A String specifying the name of the step in which the boundary condition is created.
region
A Region object specifying the region to which the boundary condition is applied.
fieldName
A String specifying the name of the AnalyticalField object associated with this boundary
condition. The *fieldName* argument applies only when *distributionType*=FIELD. The
default value is an empty string.
v1
A Float or a SymbolicConstant specifying the velocity component in the 1-direction.
Possible values for the SymbolicConstant are UNSET and SET. The default value is
UNSET.Note:Although *v1*, *v2*, *v3*, *vr1*, *vr2*, and *vr3* are optional arguments, at
least one of them must be specified.
v2
A Float or a SymbolicConstant specifying the velocity component in the 2-direction.
Possible values for the SymbolicConstant are UNSET and SET. The default value is UNSET.
v3
A Float or a SymbolicConstant specifying the velocity component in the 3-direction.
Possible values for the SymbolicConstant are UNSET and SET. The default value is UNSET.
vr1
A Float or a SymbolicConstant specifying the rotational velocity component about the
1-direction. Possible values for the SymbolicConstant are UNSET and SET. The default
value is UNSET.
vr2
A Float or a SymbolicConstant specifying the rotational velocity component about the
2-direction. Possible values for the SymbolicConstant are UNSET and SET. The default
value is UNSET.
vr3
A Float or a SymbolicConstant specifying the rotational velocity component about the
3-direction. Possible values for the SymbolicConstant are UNSET and SET. The default
value is UNSET.
amplitude
A String or the SymbolicConstant UNSET specifying the name of the amplitude reference.
UNSET should be used if the boundary condition has no amplitude reference. The default
value is UNSET. You should provide the *amplitude* argument only if it is valid for the
specified step.
localCsys
None or a DatumCsys object specifying the local coordinate system of the boundary
condition's degrees of freedom. If *localCsys*=None, the degrees of freedom are defined
in the global coordinate system. The default value is None.
distributionType
A SymbolicConstant specifying how the boundary condition is distributed spatially.
Possible values are UNIFORM, USER_DEFINED, and FIELD. The default value is UNIFORM.
Returns
-------
bc: VelocityBC
A VelocityBC object.
"""
self.boundaryConditions[name] = boundaryCondition = VelocityBC(name, createStepName, region, fieldName, v1, v2,
v3, vr1, vr2, vr3, amplitude, localCsys,
distributionType)
self.steps[createStepName].boundaryConditionStates[name] = VelocityBCState()
return boundaryCondition
| 54.3251
| 120
| 0.618993
| 8,300
| 81,379
| 6.064458
| 0.051566
| 0.048296
| 0.048277
| 0.054713
| 0.776875
| 0.739187
| 0.725877
| 0.711533
| 0.704917
| 0.69846
| 0
| 0.006946
| 0.336622
| 81,379
| 1,497
| 121
| 54.361389
| 0.925442
| 0.592032
| 0
| 0.326316
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.080702
| false
| 0
| 0.17193
| 0
| 0.336842
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 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
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
382d73f86eabcf33ad784308b67af36f241218f0
| 786
|
py
|
Python
|
HiggsAnalysis/Configuration/python/HiggsAnalysis_cff.py
|
SWuchterl/cmssw
|
769b4a7ef81796579af7d626da6039dfa0347b8e
|
[
"Apache-2.0"
] | 6
|
2017-09-08T14:12:56.000Z
|
2022-03-09T23:57:01.000Z
|
HiggsAnalysis/Configuration/python/HiggsAnalysis_cff.py
|
SWuchterl/cmssw
|
769b4a7ef81796579af7d626da6039dfa0347b8e
|
[
"Apache-2.0"
] | 545
|
2017-09-19T17:10:19.000Z
|
2022-03-07T16:55:27.000Z
|
HiggsAnalysis/Configuration/python/HiggsAnalysis_cff.py
|
SWuchterl/cmssw
|
769b4a7ef81796579af7d626da6039dfa0347b8e
|
[
"Apache-2.0"
] | 14
|
2017-10-04T09:47:21.000Z
|
2019-10-23T18:04:45.000Z
|
import FWCore.ParameterSet.Config as cms
#
# HiggsAnalysis standard sequences
#
# Dominique Fortin - UC Riverside
from HiggsAnalysis.Skimming.heavyChHiggsToTauNu_Sequences_cff import *
from HiggsAnalysis.Skimming.higgsTo2Gamma_Sequences_cff import *
from HiggsAnalysis.Skimming.higgsToInvisible_Sequences_cff import *
from HiggsAnalysis.Skimming.higgsToTauTau_LeptonTau_Sequences_cff import *
from HiggsAnalysis.Skimming.higgsToWW2Leptons_Sequences_cff import *
from HiggsAnalysis.Skimming.higgsToZZ4Leptons_Sequences_cff import *
# include "HiggsAnalysis/Skimming/data/rsTo2Gamma_Sequences.cff"
higgsAnalysis = cms.Sequence(heavyChHiggsToTauNuSequence+higgsTo2GammaSequence+higgsToInvisibleSequence+higgsToTauTauLeptonTauSequence+higgsToWW2LeptonsSequence+higgsToZZ4LeptonsSequence)
| 49.125
| 187
| 0.886768
| 72
| 786
| 9.486111
| 0.458333
| 0.215227
| 0.219619
| 0.161054
| 0.314788
| 0.314788
| 0
| 0
| 0
| 0
| 0
| 0.009485
| 0.061069
| 786
| 15
| 188
| 52.4
| 0.915989
| 0.161578
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.875
| 0
| 0.875
| 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
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
382fc16c2945d32d9989f8fdbb5969d9a0919059
| 145
|
py
|
Python
|
textattack/commands/eval_model/__init__.py
|
StatNLP/discretezoo
|
565552b894a5c9632ac7b949d61a6f71123031e4
|
[
"MIT"
] | null | null | null |
textattack/commands/eval_model/__init__.py
|
StatNLP/discretezoo
|
565552b894a5c9632ac7b949d61a6f71123031e4
|
[
"MIT"
] | null | null | null |
textattack/commands/eval_model/__init__.py
|
StatNLP/discretezoo
|
565552b894a5c9632ac7b949d61a6f71123031e4
|
[
"MIT"
] | 1
|
2022-03-25T16:45:12.000Z
|
2022-03-25T16:45:12.000Z
|
"""
TextAttack Command Package for Evaluation
------------------------------------------
"""
from .eval_model_command import EvalModelCommand
| 16.111111
| 48
| 0.558621
| 11
| 145
| 7.181818
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.103448
| 145
| 8
| 49
| 18.125
| 0.607692
| 0.57931
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
697c0d629aa33b9a6cc8a7dc825e782dbbd3336d
| 76
|
py
|
Python
|
multiqc_uphl/modules/abricate/__init__.py
|
Ikkik/MultiQC_UPHL
|
26658ee664613e71bb41c4a23ddaeb0e41f6cdd1
|
[
"MIT"
] | 2
|
2019-11-15T16:40:08.000Z
|
2019-12-04T18:02:32.000Z
|
multiqc_uphl/modules/abricate/__init__.py
|
erinyoung/MultiQC_UPHL
|
26658ee664613e71bb41c4a23ddaeb0e41f6cdd1
|
[
"MIT"
] | null | null | null |
multiqc_uphl/modules/abricate/__init__.py
|
erinyoung/MultiQC_UPHL
|
26658ee664613e71bb41c4a23ddaeb0e41f6cdd1
|
[
"MIT"
] | null | null | null |
from __future__ import absolute_import
from .abricate import MultiqcModule
| 19
| 38
| 0.868421
| 9
| 76
| 6.777778
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.118421
| 76
| 3
| 39
| 25.333333
| 0.910448
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
698f55fcb6776e8f50e1255407bb98682f3c48c4
| 398
|
py
|
Python
|
terracotta/server/spec.py
|
vlro/terracotta
|
26ef2f61bd8306fd8fecd27288df6426a6751534
|
[
"MIT"
] | null | null | null |
terracotta/server/spec.py
|
vlro/terracotta
|
26ef2f61bd8306fd8fecd27288df6426a6751534
|
[
"MIT"
] | null | null | null |
terracotta/server/spec.py
|
vlro/terracotta
|
26ef2f61bd8306fd8fecd27288df6426a6751534
|
[
"MIT"
] | null | null | null |
"""server/spec.py
Flask routes to serve API spec
"""
from typing import Any
from flask import jsonify, render_template
from terracotta.server.flask_api import spec_api, spec
@spec_api.route('/swagger.json', methods=['GET'])
def specification() -> str:
return jsonify(spec.to_dict())
@spec_api.route('/apidoc', methods=['GET'])
def ui() -> Any:
return render_template('apidoc.html')
| 18.952381
| 54
| 0.71608
| 57
| 398
| 4.877193
| 0.508772
| 0.07554
| 0.086331
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.135678
| 398
| 20
| 55
| 19.9
| 0.80814
| 0.115578
| 0
| 0
| 0
| 0
| 0.107246
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.222222
| true
| 0
| 0.333333
| 0.222222
| 0.777778
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 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
| 1
| 1
| 1
| 0
|
0
| 5
|
2a064c52142b792f6e0d9214e7344f177557518f
| 671
|
py
|
Python
|
hyperopt/hp.py
|
Loquats/hyperopt
|
6c5b33be93a71a4ae6a38f04a29b18020b78b702
|
[
"BSD-3-Clause"
] | 6,071
|
2015-01-02T18:07:25.000Z
|
2022-03-31T23:43:16.000Z
|
hyperopt/hp.py
|
Loquats/hyperopt
|
6c5b33be93a71a4ae6a38f04a29b18020b78b702
|
[
"BSD-3-Clause"
] | 606
|
2015-01-08T03:05:01.000Z
|
2022-03-31T07:55:13.000Z
|
hyperopt/hp.py
|
Loquats/hyperopt
|
6c5b33be93a71a4ae6a38f04a29b18020b78b702
|
[
"BSD-3-Clause"
] | 945
|
2015-01-07T09:21:18.000Z
|
2022-03-29T08:51:55.000Z
|
"""
Support nicer user syntax:
from hyperopt import hp
hp.uniform('x', 0, 1)
"""
from .pyll_utils import hp_choice as choice
from .pyll_utils import hp_randint as randint
from .pyll_utils import hp_pchoice as pchoice
from .pyll_utils import hp_uniform as uniform
from .pyll_utils import hp_uniformint as uniformint
from .pyll_utils import hp_quniform as quniform
from .pyll_utils import hp_loguniform as loguniform
from .pyll_utils import hp_qloguniform as qloguniform
from .pyll_utils import hp_normal as normal
from .pyll_utils import hp_qnormal as qnormal
from .pyll_utils import hp_lognormal as lognormal
from .pyll_utils import hp_qlognormal as qlognormal
| 33.55
| 53
| 0.819672
| 109
| 671
| 4.825688
| 0.238532
| 0.197719
| 0.296578
| 0.43346
| 0.479087
| 0
| 0
| 0
| 0
| 0
| 0
| 0.003472
| 0.14158
| 671
| 19
| 54
| 35.315789
| 0.909722
| 0.119225
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
2a712153d7093cb205a000880188f8419ae7c784
| 111
|
py
|
Python
|
setup.py
|
wade-crys/crys-backend
|
521b1f99f9990c4dcc6296ab2145015847305fc2
|
[
"Apache-2.0"
] | null | null | null |
setup.py
|
wade-crys/crys-backend
|
521b1f99f9990c4dcc6296ab2145015847305fc2
|
[
"Apache-2.0"
] | 2
|
2021-06-02T00:54:57.000Z
|
2021-12-13T20:30:16.000Z
|
setup.py
|
wade-crys/CryS-Backend
|
521b1f99f9990c4dcc6296ab2145015847305fc2
|
[
"Apache-2.0"
] | null | null | null |
from setuptools import setup, find_packages
setup(name='CrysBackend', version='1.0', packages=find_packages())
| 37
| 66
| 0.792793
| 15
| 111
| 5.733333
| 0.733333
| 0.27907
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.019417
| 0.072072
| 111
| 3
| 66
| 37
| 0.815534
| 0
| 0
| 0
| 0
| 0
| 0.125
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 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
| 0
| 0
| 0
|
0
| 5
|
2a77017e1cc54eb9e88a98f6c9a6f7e46e75fdca
| 1,195
|
py
|
Python
|
scope/device/iotool/commands.py
|
drew-sinha/rpc-scope
|
268864097b5b7d123a842f216adc446ec6b32d01
|
[
"MIT"
] | 1
|
2017-11-10T17:23:11.000Z
|
2017-11-10T17:23:11.000Z
|
scope/device/iotool/commands.py
|
drew-sinha/rpc-scope
|
268864097b5b7d123a842f216adc446ec6b32d01
|
[
"MIT"
] | 5
|
2018-08-01T03:05:35.000Z
|
2018-11-29T22:11:25.000Z
|
scope/device/iotool/commands.py
|
drew-sinha/rpc-scope
|
268864097b5b7d123a842f216adc446ec6b32d01
|
[
"MIT"
] | 3
|
2016-05-25T18:58:35.000Z
|
2018-11-29T23:40:45.000Z
|
# This code is licensed under the MIT License (see LICENSE file for details)
def _make_command(*elements):
return ' '.join(map(str, elements))
def wait_high(pin):
return _make_command('wh', pin)
def wait_low(pin):
return _make_command('wl', pin)
def wait_change(pin):
return _make_command('wc', pin)
def wait_time(time):
return _make_command('wt', time)
def read_digital(pin):
return _make_command('rd', pin)
def read_analog(pin):
return _make_command('ra', pin)
def delay_ms(delay):
return _make_command('dm', delay)
def delay_us(delay):
return _make_command('du', delay)
def timer_begin():
return _make_command('tb')
def timer_end():
return _make_command('te')
def pwm(pin, value):
return _make_command('pm', pin, value)
def set_high(pin):
return _make_command('sh', pin)
def set_low(pin):
return _make_command('sl', pin)
def set_tristate(pin):
return _make_command('st', pin)
def char_transmit(byte):
return _make_command('ct', byte)
def char_receive():
return _make_command('cr')
def loop(index, count):
return _make_command('lo', index, count)
def goto(index):
return _make_command('go', index)
| 20.254237
| 76
| 0.693724
| 179
| 1,195
| 4.335196
| 0.363128
| 0.26933
| 0.39433
| 0.206186
| 0.121134
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.172385
| 1,195
| 58
| 77
| 20.603448
| 0.784631
| 0.061925
| 0
| 0
| 0
| 0
| 0.033065
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0.5
| 1
| 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
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 5
|
aa74157043a5854682f44c51426933aad7277532
| 25
|
py
|
Python
|
emanager/crm/__init__.py
|
sourav-30/Manager
|
21adc814ab2c6e1cd5b375ea3ce3e01da743e357
|
[
"MIT"
] | null | null | null |
emanager/crm/__init__.py
|
sourav-30/Manager
|
21adc814ab2c6e1cd5b375ea3ce3e01da743e357
|
[
"MIT"
] | null | null | null |
emanager/crm/__init__.py
|
sourav-30/Manager
|
21adc814ab2c6e1cd5b375ea3ce3e01da743e357
|
[
"MIT"
] | null | null | null |
from .Customer import *
| 12.5
| 24
| 0.72
| 3
| 25
| 6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2
| 25
| 1
| 25
| 25
| 0.9
| 0
| 0
| 0
| 0
| 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
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
aa7557a968bd3d0e4eb689c342b6be2c1bfc895d
| 1,744
|
py
|
Python
|
Python/examples/prostate.py
|
RyanShahidi/easyml
|
fe0ecab6de02c0d91ef7de937cfb72ce7fcf3a51
|
[
"MIT"
] | 37
|
2016-11-16T20:11:34.000Z
|
2022-03-28T19:18:35.000Z
|
Python/examples/prostate.py
|
RyanShahidi/easyml
|
fe0ecab6de02c0d91ef7de937cfb72ce7fcf3a51
|
[
"MIT"
] | 76
|
2016-11-06T18:04:41.000Z
|
2021-04-30T20:34:51.000Z
|
Python/examples/prostate.py
|
CCS-Lab/easyML
|
664076b4aba733751905ed351e5a320f20f1e520
|
[
"MIT"
] | 18
|
2016-12-21T17:41:29.000Z
|
2021-05-10T20:43:49.000Z
|
from easymlpy import glmnet, random_forest, support_vector_machine
from easymlpy.datasets import load_prostate
# Settings
n_samples = 50
n_divisions = 50
n_iterations = 2
# Load data
prostate = load_prostate()
# Analyze data
output = support_vector_machine.easy_support_vector_machine(prostate, 'lpsa',
random_state=1, progress_bar=True, n_core=1,
n_samples=50, n_divisions=50, n_iterations=2)
output.plot_predictions_single_train_test_split_train()
output.plot_predictions_single_train_test_split_test()
output.plot_model_performance_train()
output.plot_model_performance_test()
# Analyze data
output = random_forest.easy_random_forest(prostate, 'lpsa',
random_state=1, progress_bar=True, n_core=1,
n_samples=50, n_divisions=50, n_iterations=2,
model_args={'n_estimators': 10})
output.plot_variable_importances()
output.plot_predictions_single_train_test_split_train()
output.plot_predictions_single_train_test_split_test()
output.plot_model_performance_train()
output.plot_model_performance_test()
# Analyze data
output = glmnet.easy_glmnet(prostate, 'lpsa',
random_state=1, progress_bar=True, n_core=1,
n_samples=50, n_divisions=50, n_iterations=2,
model_args={'alpha': 1, 'n_lambda': 200})
output.plot_coefficients()
output.plot_predictions_single_train_test_split_train()
output.plot_predictions_single_train_test_split_test()
output.plot_model_performance_train()
output.plot_model_performance_test()
| 39.636364
| 105
| 0.682339
| 211
| 1,744
| 5.184834
| 0.222749
| 0.127971
| 0.115174
| 0.14808
| 0.712066
| 0.712066
| 0.712066
| 0.712066
| 0.712066
| 0.680987
| 0
| 0.024224
| 0.242546
| 1,744
| 43
| 106
| 40.55814
| 0.803936
| 0.032683
| 0
| 0.548387
| 0
| 0
| 0.022011
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.096774
| 0
| 0.096774
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 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
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
aa886adfa70460f3298b14b87ac0b37322cd3906
| 256
|
py
|
Python
|
src/olympia/landfill/tests/test_names.py
|
covariant/addons-server
|
41e6ee9e426facb19a1e1ca8d40277cb6f94a7da
|
[
"BSD-3-Clause"
] | 843
|
2016-02-09T13:00:37.000Z
|
2022-03-20T19:17:06.000Z
|
src/olympia/landfill/tests/test_names.py
|
covariant/addons-server
|
41e6ee9e426facb19a1e1ca8d40277cb6f94a7da
|
[
"BSD-3-Clause"
] | 10,187
|
2016-02-05T23:51:05.000Z
|
2022-03-31T15:24:44.000Z
|
src/olympia/landfill/tests/test_names.py
|
covariant/addons-server
|
41e6ee9e426facb19a1e1ca8d40277cb6f94a7da
|
[
"BSD-3-Clause"
] | 551
|
2016-02-08T20:32:16.000Z
|
2022-03-15T16:49:24.000Z
|
from olympia.amo.tests import TestCase
from olympia.landfill.names import generate_names
class NamesTests(TestCase):
def test_names_generation(self):
assert len(generate_names()) == 136
assert 'Exquisite Sandwich' in generate_names()
| 28.444444
| 55
| 0.753906
| 32
| 256
| 5.875
| 0.65625
| 0.207447
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.014085
| 0.167969
| 256
| 8
| 56
| 32
| 0.868545
| 0
| 0
| 0
| 1
| 0
| 0.070313
| 0
| 0
| 0
| 0
| 0
| 0.333333
| 1
| 0.166667
| false
| 0
| 0.333333
| 0
| 0.666667
| 0
| 0
| 0
| 0
| null | 1
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
aa8cc0163535772bcc828d91776be3b06d8b1083
| 26
|
py
|
Python
|
test/__init__.py
|
KryptedGaming/django-eveonline-doctrines
|
145b80e38a57b4662dc62891dca29a0ba3bfd67c
|
[
"MIT"
] | 1
|
2021-03-19T17:08:04.000Z
|
2021-03-19T17:08:04.000Z
|
test/__init__.py
|
KryptedGaming/django-eveonline-doctrines
|
145b80e38a57b4662dc62891dca29a0ba3bfd67c
|
[
"MIT"
] | 25
|
2020-04-20T03:04:53.000Z
|
2021-02-21T17:01:53.000Z
|
test/__init__.py
|
KryptedGaming/django-eveonline-doctrines
|
145b80e38a57b4662dc62891dca29a0ba3bfd67c
|
[
"MIT"
] | 1
|
2020-10-04T18:21:17.000Z
|
2020-10-04T18:21:17.000Z
|
# from .celery import app
| 13
| 25
| 0.730769
| 4
| 26
| 4.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.192308
| 26
| 1
| 26
| 26
| 0.904762
| 0.884615
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
aaa2137c5eb39ce2f5c3e43e4af1148d368c7590
| 30
|
py
|
Python
|
utilidades/__init__.py
|
marcosmercurio/Ola-Mundo
|
d5452336a3d83c2d43a8f3c222aa93fcbce845a0
|
[
"MIT"
] | null | null | null |
utilidades/__init__.py
|
marcosmercurio/Ola-Mundo
|
d5452336a3d83c2d43a8f3c222aa93fcbce845a0
|
[
"MIT"
] | null | null | null |
utilidades/__init__.py
|
marcosmercurio/Ola-Mundo
|
d5452336a3d83c2d43a8f3c222aa93fcbce845a0
|
[
"MIT"
] | null | null | null |
input ("ola digite seu nome")
| 15
| 29
| 0.7
| 5
| 30
| 4.2
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 30
| 1
| 30
| 30
| 0.84
| 0
| 0
| 0
| 0
| 0
| 0.633333
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 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
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
aad1e5769a96c00fe5569b09f253a28e2f6778b6
| 153
|
py
|
Python
|
src/Lotes/admin.py
|
carnadaxxx/lotizados
|
5d3dc346cb268dfc481e0c532712450b9ac2fc84
|
[
"Apache-2.0"
] | null | null | null |
src/Lotes/admin.py
|
carnadaxxx/lotizados
|
5d3dc346cb268dfc481e0c532712450b9ac2fc84
|
[
"Apache-2.0"
] | null | null | null |
src/Lotes/admin.py
|
carnadaxxx/lotizados
|
5d3dc346cb268dfc481e0c532712450b9ac2fc84
|
[
"Apache-2.0"
] | null | null | null |
from django.contrib import admin
from .models import Lote, Manzana
# Register your models here.
admin.site.register(Lote)
admin.site.register(Manzana)
| 19.125
| 33
| 0.797386
| 22
| 153
| 5.545455
| 0.545455
| 0.147541
| 0.278689
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.117647
| 153
| 7
| 34
| 21.857143
| 0.903704
| 0.169935
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 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
| 0
| 0
|
0
| 5
|
aae3a3ea8fa2e4b5f7e5f873ba5cc3719ab8d202
| 7,986
|
py
|
Python
|
tests/test_experiment/test_local_experiment_saver.py
|
mv1388/AIToolbox
|
c64ac4810a02d230ce471d86b758e82ea232a7e7
|
[
"MIT"
] | 3
|
2019-10-12T12:24:09.000Z
|
2020-08-02T02:42:43.000Z
|
tests/test_experiment/test_local_experiment_saver.py
|
mv1388/aitoolbox
|
1060435e6cbdfd19abcb726c4080b663536b7467
|
[
"MIT"
] | 3
|
2020-04-10T14:07:07.000Z
|
2020-04-22T19:04:38.000Z
|
tests/test_experiment/test_local_experiment_saver.py
|
mv1388/aitoolbox
|
1060435e6cbdfd19abcb726c4080b663536b7467
|
[
"MIT"
] | null | null | null |
import unittest
import os
import shutil
from tests.utils import *
from aitoolbox.experiment.local_experiment_saver import *
from aitoolbox.experiment.experiment_saver import AbstractExperimentSaver
from aitoolbox.experiment.result_package.abstract_result_packages import AbstractResultPackage
from aitoolbox.experiment.local_save.local_model_save import PyTorchLocalModelSaver, KerasLocalModelSaver
from aitoolbox.experiment.local_save.local_results_save import LocalResultsSaver
from aitoolbox.experiment.training_history import TrainingHistory
THIS_DIR = os.path.dirname(os.path.abspath(__file__))
class DummyFullResultPackage(AbstractResultPackage):
def __init__(self, result_dict, hyper_params):
AbstractResultPackage.__init__(self, 'dummyFullPkg')
self.result_dict = result_dict
self.hyper_params = hyper_params
self.y_true = [10.0] * 100
self.y_predicted = [123.4] * 100
def prepare_results_dict(self):
return self.result_dict
def get_results(self):
return self.prepare_results_dict()
def get_hyperparameters(self):
return self.hyper_params
class TestFullPyTorchExperimentLocalSaver(unittest.TestCase):
def test_init(self):
project_dir_name = 'projectPyTorchLocalModelSaver'
exp_dir_name = 'experimentSubDirPT'
saver = FullPyTorchExperimentLocalSaver(project_name=project_dir_name, experiment_name=exp_dir_name,
local_model_result_folder_path=THIS_DIR)
self.assertIsInstance(saver, AbstractExperimentSaver)
self.assertIsInstance(saver, BaseFullExperimentLocalSaver)
self.assertEqual(type(saver.model_saver), PyTorchLocalModelSaver)
self.assertEqual(type(saver.results_saver), LocalResultsSaver)
def test_save_experiment(self):
self.save_experiment_options(save_true_pred_labels=True, separate_files=True)
self.save_experiment_options(save_true_pred_labels=True, separate_files=False)
self.save_experiment_options(save_true_pred_labels=False, separate_files=True)
self.save_experiment_options(save_true_pred_labels=False, separate_files=False)
def save_experiment_options(self, save_true_pred_labels, separate_files):
model = Net()
project_dir_name = 'projectPyTorchLocalModelSaver'
exp_dir_name = 'experimentSubDirPT'
current_time = datetime.datetime.fromtimestamp(time.time()).strftime('%Y-%m-%d_%H-%M-%S')
project_path = os.path.join(THIS_DIR, project_dir_name)
exp_path = os.path.join(project_path, f'{exp_dir_name}_{current_time}')
model_path = os.path.join(exp_path, 'model')
results_path = os.path.join(exp_path, 'results')
result_pkg = DummyFullResultPackage({'metric1': 33434, 'acc1': 223.43, 'loss': 4455.6},
{'epoch': 20, 'lr': 0.334})
training_history = TrainingHistory().wrap_pre_prepared_history({})
model_checkpoint = {'model_state_dict': model.state_dict(), 'optimizer_state_dict': None,
'epoch': 10, 'hyperparams': {}}
saver = FullPyTorchExperimentLocalSaver(project_name=project_dir_name, experiment_name=exp_dir_name,
local_model_result_folder_path=THIS_DIR)
saved_paths = saver.save_experiment(model_checkpoint, result_pkg, training_history, current_time,
save_true_pred_labels=save_true_pred_labels, separate_files=separate_files)
model_file_path_true = os.path.join(model_path, f'model_{exp_dir_name}_{current_time}.pth')
self.assertTrue(os.path.exists(model_file_path_true))
if not separate_files:
saved_paths_true = [model_file_path_true,
os.path.join(results_path, f'results_hyperParams_hist_{exp_dir_name}_{current_time}.p')]
else:
saved_paths_true = [model_file_path_true,
os.path.join(results_path, f'results_{exp_dir_name}_{current_time}.p'),
os.path.join(results_path, f'hyperparams_{exp_dir_name}_{current_time}.p'),
os.path.join(results_path, f'train_history_{exp_dir_name}_{current_time}.p')]
if save_true_pred_labels:
saved_paths_true.append(os.path.join(results_path, f'true_pred_labels_{exp_dir_name}_{current_time}.p'))
self.assertEqual(sorted(saved_paths_true), sorted(saved_paths))
if os.path.exists(project_path):
shutil.rmtree(project_path)
class TestFullKerasExperimentLocalSaver(unittest.TestCase):
def test_init(self):
project_dir_name = 'projectPyTorchLocalModelSaver'
exp_dir_name = 'experimentSubDirPT'
saver = FullKerasExperimentLocalSaver(project_name=project_dir_name, experiment_name=exp_dir_name,
local_model_result_folder_path=THIS_DIR)
self.assertIsInstance(saver, AbstractExperimentSaver)
self.assertIsInstance(saver, BaseFullExperimentLocalSaver)
self.assertEqual(type(saver.model_saver), KerasLocalModelSaver)
self.assertEqual(type(saver.results_saver), LocalResultsSaver)
def test_save_experiment(self):
self.save_experiment_options(save_true_pred_labels=True, separate_files=True)
self.save_experiment_options(save_true_pred_labels=True, separate_files=False)
self.save_experiment_options(save_true_pred_labels=False, separate_files=True)
self.save_experiment_options(save_true_pred_labels=False, separate_files=False)
def save_experiment_options(self, save_true_pred_labels, separate_files):
model = keras_dummy_model()
project_dir_name = 'projectKerasLocalModelSaver'
exp_dir_name = 'experimentSubDirPT'
current_time = datetime.datetime.fromtimestamp(time.time()).strftime('%Y-%m-%d_%H-%M-%S')
project_path = os.path.join(THIS_DIR, project_dir_name)
exp_path = os.path.join(project_path, f'{exp_dir_name}_{current_time}')
model_path = os.path.join(exp_path, 'model')
results_path = os.path.join(exp_path, 'results')
result_pkg = DummyFullResultPackage({'metric1': 33434, 'acc1': 223.43, 'loss': 4455.6},
{'epoch': 20, 'lr': 0.334})
training_history = TrainingHistory().wrap_pre_prepared_history({})
saver = FullKerasExperimentLocalSaver(project_name=project_dir_name, experiment_name=exp_dir_name,
local_model_result_folder_path=THIS_DIR)
saved_paths = saver.save_experiment(model, result_pkg, training_history, current_time,
save_true_pred_labels=save_true_pred_labels, separate_files=separate_files)
model_file_path_true = os.path.join(model_path, f'model_{exp_dir_name}_{current_time}.h5')
self.assertTrue(os.path.exists(model_file_path_true))
if not separate_files:
saved_paths_true = [model_file_path_true,
os.path.join(results_path, f'results_hyperParams_hist_{exp_dir_name}_{current_time}.p')]
else:
saved_paths_true = [model_file_path_true,
os.path.join(results_path, f'results_{exp_dir_name}_{current_time}.p'),
os.path.join(results_path, f'hyperparams_{exp_dir_name}_{current_time}.p'),
os.path.join(results_path, f'train_history_{exp_dir_name}_{current_time}.p')]
if save_true_pred_labels:
saved_paths_true.append(os.path.join(results_path, f'true_pred_labels_{exp_dir_name}_{current_time}.p'))
self.assertEqual(sorted(saved_paths_true), sorted(saved_paths))
if os.path.exists(project_path):
shutil.rmtree(project_path)
| 51.192308
| 120
| 0.694966
| 937
| 7,986
| 5.512273
| 0.134472
| 0.043369
| 0.042594
| 0.05576
| 0.794385
| 0.794385
| 0.780058
| 0.780058
| 0.771733
| 0.771733
| 0
| 0.009899
| 0.215753
| 7,986
| 155
| 121
| 51.522581
| 0.814785
| 0
| 0
| 0.686441
| 0
| 0
| 0.118833
| 0.089031
| 0
| 0
| 0
| 0
| 0.101695
| 1
| 0.084746
| false
| 0
| 0.084746
| 0.025424
| 0.220339
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 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
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
2aa14cea28d089fef82ea76140020a9e16bf6486
| 25
|
py
|
Python
|
latest/modules/physics/continuum_mechanics/beam_problems-3.py
|
sympy/sympy_doc
|
ec4f28eed09d5acb9e55874e82cc86c74e762c0d
|
[
"BSD-3-Clause"
] | 20
|
2015-01-28T01:08:13.000Z
|
2021-12-19T04:03:28.000Z
|
latest/modules/physics/continuum_mechanics/beam_problems-3.py
|
varunjha089/sympy_doc
|
a9548e3691954dfc16357072d19aeccc3bdd959b
|
[
"BSD-3-Clause"
] | 31
|
2015-01-27T07:16:19.000Z
|
2021-11-15T10:58:15.000Z
|
latest/modules/physics/continuum_mechanics/beam_problems-3.py
|
varunjha089/sympy_doc
|
a9548e3691954dfc16357072d19aeccc3bdd959b
|
[
"BSD-3-Clause"
] | 38
|
2015-01-08T18:48:27.000Z
|
2021-12-02T13:19:43.000Z
|
b.apply_load(12, 9, -1)
| 12.5
| 24
| 0.6
| 6
| 25
| 2.333333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.190476
| 0.16
| 25
| 1
| 25
| 25
| 0.47619
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
2ab3d4649efd979a11e0a3ab7ad4fe5cd1889b3c
| 124
|
py
|
Python
|
cyclegan/utils/__init__.py
|
narumiruna/cyclegan-pytorch
|
11e28b7d9681e9cd40ecf9ee6d0fc93076d69365
|
[
"MIT"
] | 1
|
2020-03-19T07:38:42.000Z
|
2020-03-19T07:38:42.000Z
|
cyclegan/utils/__init__.py
|
narumiruna/cyclegan-pytorch
|
11e28b7d9681e9cd40ecf9ee6d0fc93076d69365
|
[
"MIT"
] | null | null | null |
cyclegan/utils/__init__.py
|
narumiruna/cyclegan-pytorch
|
11e28b7d9681e9cd40ecf9ee6d0fc93076d69365
|
[
"MIT"
] | null | null | null |
from .collections import AttrDict
from .factory import get_factory
from .utils import distributed_is_initialized, load_yaml
| 31
| 56
| 0.862903
| 17
| 124
| 6.058824
| 0.705882
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.104839
| 124
| 3
| 57
| 41.333333
| 0.927928
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
63205f0d0f403bce0d50f3687a12fd46ce50107c
| 279
|
py
|
Python
|
lasso/dyna/__init__.py
|
vishalbelsare/lasso-python
|
319bf590599b4a4d50d9345e83e8030afe044aec
|
[
"BSD-3-Clause"
] | 43
|
2019-06-20T20:23:15.000Z
|
2022-03-08T11:28:12.000Z
|
lasso/dyna/__init__.py
|
vishalbelsare/lasso-python
|
319bf590599b4a4d50d9345e83e8030afe044aec
|
[
"BSD-3-Clause"
] | 19
|
2019-10-04T17:13:34.000Z
|
2022-02-16T16:49:59.000Z
|
lasso/dyna/__init__.py
|
vishalbelsare/lasso-python
|
319bf590599b4a4d50d9345e83e8030afe044aec
|
[
"BSD-3-Clause"
] | 17
|
2020-02-09T08:19:03.000Z
|
2021-12-03T07:06:31.000Z
|
from .D3plot import D3plot
from .Binout import Binout
from .ArrayType import ArrayType
from .FilterType import FilterType
from .D3plotHeader import D3plotHeader, D3plotFiletype
__all__ = ["Binout", "D3plot", "ArrayType", "FilterType", "D3plotHeader", "D3plotFiletype"]
| 31
| 92
| 0.767025
| 28
| 279
| 7.5
| 0.321429
| 0.247619
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.033333
| 0.139785
| 279
| 8
| 93
| 34.875
| 0.841667
| 0
| 0
| 0
| 0
| 0
| 0.211111
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.833333
| 0
| 0.833333
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
6323c2041b1f1bf636e3e18c36db7c4b362e6b48
| 216
|
py
|
Python
|
Chapter02/hillar_django_restful_02_01/restful01/toys/views.py
|
weiliy/Django-RESTful-Web-Services
|
0b26a84ec8005c6a2cef61671b6d009f0780a9cc
|
[
"MIT"
] | 95
|
2018-01-22T21:35:21.000Z
|
2022-03-30T10:13:35.000Z
|
Chapter02/hillar_django_restful_02_01/restful01/toys/views.py
|
weiliy/Django-RESTful-Web-Services
|
0b26a84ec8005c6a2cef61671b6d009f0780a9cc
|
[
"MIT"
] | 6
|
2020-03-24T16:37:46.000Z
|
2021-06-10T21:04:36.000Z
|
Chapter02/hillar_django_restful_02_01/restful01/toys/views.py
|
weiliy/Django-RESTful-Web-Services
|
0b26a84ec8005c6a2cef61671b6d009f0780a9cc
|
[
"MIT"
] | 73
|
2018-01-24T02:38:17.000Z
|
2022-01-23T21:02:41.000Z
|
"""
Book: Django RESTful Web Services
Author: Gaston C. Hillar - Twitter.com/gastonhillar
Publisher: Packt Publishing Ltd. - http://www.packtpub.com
"""
from django.shortcuts import render
# Create your views here.
| 24
| 58
| 0.759259
| 29
| 216
| 5.655172
| 0.931034
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.134259
| 216
| 8
| 59
| 27
| 0.877005
| 0.782407
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
2d4d95095ea40b1fc5639e7a3f8b8fa3c0d93d58
| 1,952
|
bzl
|
Python
|
rules/toolchain_containers.bzl
|
bansalvinayak/bazel-toolchains
|
5e4c884b0507a399141d3cc018f11edbd29034e8
|
[
"Apache-2.0"
] | null | null | null |
rules/toolchain_containers.bzl
|
bansalvinayak/bazel-toolchains
|
5e4c884b0507a399141d3cc018f11edbd29034e8
|
[
"Apache-2.0"
] | null | null | null |
rules/toolchain_containers.bzl
|
bansalvinayak/bazel-toolchains
|
5e4c884b0507a399141d3cc018f11edbd29034e8
|
[
"Apache-2.0"
] | null | null | null |
def toolchain_container_sha256s():
return {
###########################################################
# Base images #
###########################################################
# gcr.io/cloud-marketplace/google/debian8:latest
"debian8": "sha256:a6df7738c401aef6bf9c113eb1eea7f3921417fd4711ea28100681f2fe483ea2",
# gcr.io/cloud-marketplace/google/debian9:latest
"debian9": "sha256:1d6a9a6d106bd795098f60f4abb7083626354fa6735e81743c7f8cfca11259f0",
# gcr.io/cloud-marketplace/google/ubuntu16_04:latest
"ubuntu16_04": "sha256:8a12cc26c62e2f9824aada8d13c1f0c2d2847d18191560e1500d651a709d6550",
###########################################################
# Python3 images #
###########################################################
# gcr.io/cloud-marketplace/google/python:latest
# Pinned to ace668f0f01e5e562ad09c3f128488ec33fa9126313f16505a86ae77865d1696 as it is the
# latest *debian8* based python3 image. Newer ones are ubuntu16_04 based.
"debian8_python3": "sha256:ace668f0f01e5e562ad09c3f128488ec33fa9126313f16505a86ae77865d1696",
# gcr.io/google-appengine/python:latest
"ubuntu16_04_python3": "sha256:67fd35064a812fd0ba0a6e9485410f9f2710ebf7b0787a7b350ce6a20f166bfe",
###########################################################
# Clang images #
###########################################################
# gcr.io/cloud-marketplace/google/clang-debian8:r337145
"debian8_clang": "sha256:de1116d36eafe16890afd64b6bc6809a3ed5b3597ed7bc857980749270894677",
# gcr.io/cloud-marketplace/google/clang-ubuntu:r337145
"ubuntu16_04_clang": "sha256:fbf123ca7c7696f53864da4f7d1d9470f9ef4ebfabc4344f44173d1951faee6f",
}
| 62.967742
| 105
| 0.550205
| 108
| 1,952
| 9.842593
| 0.388889
| 0.032926
| 0.056444
| 0.118532
| 0.178739
| 0.12794
| 0
| 0
| 0
| 0
| 0
| 0.259715
| 0.209016
| 1,952
| 30
| 106
| 65.066667
| 0.428756
| 0.341189
| 0
| 0
| 0
| 0
| 0.639738
| 0.542576
| 0
| 0
| 0
| 0
| 0
| 1
| 0.1
| true
| 0
| 0
| 0.1
| 0.2
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
931fed1443314c67d4622ad038c45adcca2c04f4
| 181
|
py
|
Python
|
tests/test-checkpoint2.py
|
mrzv/saturn
|
e89e01c8cfb2bf9980f4e3117a3d4b498305dc59
|
[
"BSD-3-Clause-LBNL"
] | null | null | null |
tests/test-checkpoint2.py
|
mrzv/saturn
|
e89e01c8cfb2bf9980f4e3117a3d4b498305dc59
|
[
"BSD-3-Clause-LBNL"
] | null | null | null |
tests/test-checkpoint2.py
|
mrzv/saturn
|
e89e01c8cfb2bf9980f4e3117a3d4b498305dc59
|
[
"BSD-3-Clause-LBNL"
] | null | null | null |
a = 5
#chk>{{{
#chk>gANDIEfymvjN9EowcCGj+XNtin7uihFyNxXkbW2Myny7GZzJcQAugAN9cQAoWAwAAABfX2J1aWx0aW5z
#chk>X19xAWNidWlsdGlucwpfX2RpY3RfXwpYAQAAAGFxAksFdS4=
#chk>}}}
print(a)
#o> 5
| 18.1
| 85
| 0.81768
| 13
| 181
| 11.384615
| 0.615385
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.094675
| 0.066298
| 181
| 9
| 86
| 20.111111
| 0.781065
| 0.850829
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.5
| 1
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
933aa79c9f0f508fcaa73dbcdae2f6c260f23f93
| 1,397
|
py
|
Python
|
smart-pizza-store_factory-part3/pizza_ingredients_factory.py
|
johnklee/learn_dp_from_bad_smell_design
|
88506487ce64a1b9492ec28fe235ae596ddf1472
|
[
"MIT"
] | null | null | null |
smart-pizza-store_factory-part3/pizza_ingredients_factory.py
|
johnklee/learn_dp_from_bad_smell_design
|
88506487ce64a1b9492ec28fe235ae596ddf1472
|
[
"MIT"
] | 4
|
2022-01-02T06:49:43.000Z
|
2022-02-15T12:36:41.000Z
|
smart-pizza-store_factory-part3/pizza_ingredients_factory.py
|
johnklee/learn_dp_from_bad_smell_design
|
88506487ce64a1b9492ec28fe235ae596ddf1472
|
[
"MIT"
] | null | null | null |
import abc
import pizza_ingredients
class PizzaIngredientFactory(abc.ABC):
@abc.abstractmethod
def create_topping(self) -> pizza_ingredients.Topping:
raise NotImplementedError
@abc.abstractmethod
def create_dough(self) -> pizza_ingredients.Dough:
raise NotImplementedError
@abc.abstractmethod
def create_sauce(self) -> pizza_ingredients.Sauce:
raise NotImplementedError
@abc.abstractmethod
def create_cheese(self) -> pizza_ingredients.Cheese:
raise NotImplementedError
@abc.abstractmethod
def create_clams(self) -> pizza_ingredients.Clams:
raise NotImplementedError
class SimpleIngredientFactory(PizzaIngredientFactory):
def create_topping(self) -> pizza_ingredients.Topping:
return pizza_ingredients.SausageTopping()
def create_pepperoni_topping(self) -> pizza_ingredients.Topping:
return pizza_ingredients.PepperoniTopping()
def create_veggie_topping(self) -> pizza_ingredients.Topping:
return pizza_ingredients.VeggieTopping()
def create_dough(self) -> pizza_ingredients.Dough:
return pizza_ingredients.ThickCrustDough()
def create_sauce(self) -> pizza_ingredients.Sauce:
return pizza_ingredients.KetchupSauce()
def create_cheese(self) -> pizza_ingredients.Cheese:
return pizza_ingredients.SakuraCheese()
def create_clams(self) -> pizza_ingredients.Clams:
return pizza_ingredients.SoftshellClams()
| 29.104167
| 66
| 0.791696
| 146
| 1,397
| 7.342466
| 0.191781
| 0.298507
| 0.223881
| 0.121269
| 0.652985
| 0.652985
| 0.5
| 0.156716
| 0
| 0
| 0
| 0
| 0.129563
| 1,397
| 47
| 67
| 29.723404
| 0.881579
| 0
| 0
| 0.606061
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.363636
| false
| 0
| 0.060606
| 0.212121
| 0.69697
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 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
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
934e0c51556d8b17848b2d215abc76ae07f45253
| 135
|
py
|
Python
|
tests/conftest.py
|
edornd/clidantic
|
1d76357541a2684815ab8919ba0de64a04fe50a1
|
[
"MIT"
] | 1
|
2022-02-18T10:23:13.000Z
|
2022-02-18T10:23:13.000Z
|
tests/conftest.py
|
edornd/clidantic
|
1d76357541a2684815ab8919ba0de64a04fe50a1
|
[
"MIT"
] | 6
|
2022-01-07T16:16:57.000Z
|
2022-02-11T19:45:39.000Z
|
tests/conftest.py
|
edornd/clidantic
|
1d76357541a2684815ab8919ba0de64a04fe50a1
|
[
"MIT"
] | null | null | null |
import pytest
from clidantic.testing import CliRunner
@pytest.fixture(scope="function")
def runner(request):
return CliRunner()
| 15
| 39
| 0.77037
| 16
| 135
| 6.5
| 0.8125
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.133333
| 135
| 8
| 40
| 16.875
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0.059259
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.4
| 0.2
| 0.8
| 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
| 0
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 5
|
fa762350734f52fe95b1ff1a95fbd76bbd2baf99
| 276
|
py
|
Python
|
python/tom/linalg/__init__.py
|
m7thon/tom
|
fde3e934083c8c91256350b00e4128e48b351a8c
|
[
"MIT"
] | 7
|
2017-10-04T05:41:46.000Z
|
2021-07-18T01:31:36.000Z
|
python/tom/linalg/__init__.py
|
m7thon/tom
|
fde3e934083c8c91256350b00e4128e48b351a8c
|
[
"MIT"
] | 1
|
2021-05-16T16:16:55.000Z
|
2021-05-20T09:21:30.000Z
|
python/tom/linalg/__init__.py
|
m7thon/tom
|
fde3e934083c8c91256350b00e4128e48b351a8c
|
[
"MIT"
] | 1
|
2017-10-04T05:41:59.000Z
|
2017-10-04T05:41:59.000Z
|
from .._tomlib import normalize, normalizeRows, normalizeCols, colwiseMean, rowwiseMean, weightedNorm, kron, svd
from .._tomlib import solveLS
from .._tomlib import computeWLRA, improveWLRA
from ._linalg import spectral_norm_expectation, wsvd, cached_wsvd, CachedWSVD, pinv
| 39.428571
| 112
| 0.822464
| 31
| 276
| 7.096774
| 0.709677
| 0.136364
| 0.218182
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.108696
| 276
| 6
| 113
| 46
| 0.894309
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
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| 0
| 0
| null | 0
| 1
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| 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
| 5
|
fa981f9249e26b4894e567148ad152210444af05
| 264
|
py
|
Python
|
func4.py
|
akash0905/Python_codes
|
f650bfa6a13c7c00cf5852e31999359039bd7ea4
|
[
"MIT"
] | null | null | null |
func4.py
|
akash0905/Python_codes
|
f650bfa6a13c7c00cf5852e31999359039bd7ea4
|
[
"MIT"
] | null | null | null |
func4.py
|
akash0905/Python_codes
|
f650bfa6a13c7c00cf5852e31999359039bd7ea4
|
[
"MIT"
] | null | null | null |
#~ def product(x,y,z=10):
#~ print(x*y*z)
#~ product(2,3)
#~ def product(x=1,y=10,z):
#~ print(x*y*z)
#~ product(2,3)
def product(x,y,z=10):
print(x)
print(y)
print(z)
#~ print(x*y*z)
#~ product(2,3)
product(2,3,100)
| 13.894737
| 28
| 0.481061
| 50
| 264
| 2.54
| 0.22
| 0.07874
| 0.11811
| 0.188976
| 0.787402
| 0.787402
| 0.787402
| 0.787402
| 0.440945
| 0.440945
| 0
| 0.093264
| 0.268939
| 264
| 18
| 29
| 14.666667
| 0.564767
| 0.507576
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0
| 0
| 0.2
| 0.6
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 1
| 1
| 1
| 0
| 0
| 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
| 1
|
0
| 5
|
fadc9d13b585237eafb6821964ba9077d2ac97e6
| 1,069
|
py
|
Python
|
terrascript/resource/hashicorp/hcp.py
|
mjuenema/python-terrascript
|
6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d
|
[
"BSD-2-Clause"
] | 507
|
2017-07-26T02:58:38.000Z
|
2022-01-21T12:35:13.000Z
|
terrascript/resource/hashicorp/hcp.py
|
mjuenema/python-terrascript
|
6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d
|
[
"BSD-2-Clause"
] | 135
|
2017-07-20T12:01:59.000Z
|
2021-10-04T22:25:40.000Z
|
terrascript/resource/hashicorp/hcp.py
|
mjuenema/python-terrascript
|
6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d
|
[
"BSD-2-Clause"
] | 81
|
2018-02-20T17:55:28.000Z
|
2022-01-31T07:08:40.000Z
|
# terrascript/resource/hashicorp/hcp.py
# Automatically generated by tools/makecode.py (24-Sep-2021 15:18:10 UTC)
import terrascript
class hcp_aws_network_peering(terrascript.Resource):
pass
class hcp_aws_transit_gateway_attachment(terrascript.Resource):
pass
class hcp_consul_cluster(terrascript.Resource):
pass
class hcp_consul_cluster_root_token(terrascript.Resource):
pass
class hcp_consul_snapshot(terrascript.Resource):
pass
class hcp_hvn(terrascript.Resource):
pass
class hcp_hvn_peering_connection(terrascript.Resource):
pass
class hcp_hvn_route(terrascript.Resource):
pass
class hcp_vault_cluster(terrascript.Resource):
pass
class hcp_vault_cluster_admin_token(terrascript.Resource):
pass
__all__ = [
"hcp_aws_network_peering",
"hcp_aws_transit_gateway_attachment",
"hcp_consul_cluster",
"hcp_consul_cluster_root_token",
"hcp_consul_snapshot",
"hcp_hvn",
"hcp_hvn_peering_connection",
"hcp_hvn_route",
"hcp_vault_cluster",
"hcp_vault_cluster_admin_token",
]
| 18.431034
| 73
| 0.770814
| 135
| 1,069
| 5.674074
| 0.274074
| 0.272846
| 0.300261
| 0.328982
| 0.613577
| 0.408616
| 0.227154
| 0
| 0
| 0
| 0
| 0.013172
| 0.147802
| 1,069
| 57
| 74
| 18.754386
| 0.827662
| 0.101964
| 0
| 0.30303
| 1
| 0
| 0.22466
| 0.147335
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.30303
| 0.030303
| 0
| 0.333333
| 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
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
faef097b7b9859bb74392def96dff17e707d6a4b
| 133
|
py
|
Python
|
tests/test_pyxq.py
|
goodchinas/pyxq
|
c7f6ea63084c18178049451f30f32f04080a511c
|
[
"MIT"
] | 4
|
2019-12-17T11:05:53.000Z
|
2020-06-01T05:41:02.000Z
|
tests/test_pyxq.py
|
goodchinas/pyxq
|
c7f6ea63084c18178049451f30f32f04080a511c
|
[
"MIT"
] | null | null | null |
tests/test_pyxq.py
|
goodchinas/pyxq
|
c7f6ea63084c18178049451f30f32f04080a511c
|
[
"MIT"
] | 2
|
2019-11-13T01:11:53.000Z
|
2019-12-17T10:55:44.000Z
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Tests for `pyxq` package."""
def test_000_something():
"""Test something."""
| 14.777778
| 31
| 0.586466
| 17
| 133
| 4.470588
| 0.882353
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.036036
| 0.165414
| 133
| 8
| 32
| 16.625
| 0.648649
| 0.631579
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| true
| 0
| 0
| 0
| 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
| 0
| 0
| 1
| 0
|
0
| 5
|
8784ecafff073d10c5e14b2aa1d5c02a01236216
| 48
|
py
|
Python
|
Language Skills/Python/Unit 07 Lists and Functions/01 Lists and Functions/List Recap/1-List accessing.py
|
rhyep/Python_tutorials
|
f5c8a64b91802b005dfe7dd9035f8d8daae8c3e3
|
[
"MIT"
] | 346
|
2016-02-22T20:21:10.000Z
|
2022-01-27T20:55:53.000Z
|
Language Skills/Python/Unit 7/1-Lists and Functions/List Recap/1-List accessing.py
|
vpstudios/Codecademy-Exercise-Answers
|
ebd0ee8197a8001465636f52c69592ea6745aa0c
|
[
"MIT"
] | 55
|
2016-04-07T13:58:44.000Z
|
2020-06-25T12:20:24.000Z
|
Language Skills/Python/Unit 7/1-Lists and Functions/List Recap/1-List accessing.py
|
vpstudios/Codecademy-Exercise-Answers
|
ebd0ee8197a8001465636f52c69592ea6745aa0c
|
[
"MIT"
] | 477
|
2016-02-21T06:17:02.000Z
|
2021-12-22T10:08:01.000Z
|
n = [1, 3, 5]
# Add your code below
print n[1]
| 9.6
| 21
| 0.5625
| 11
| 48
| 2.454545
| 0.818182
| 0.148148
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.114286
| 0.270833
| 48
| 4
| 22
| 12
| 0.657143
| 0.395833
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.5
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
87890d5e80b6b90fe1cd2d9bc2f2d39827212fc8
| 320
|
py
|
Python
|
stubs/ev3_pybricks_1_0_0/uhashlib.py
|
RonaldHiemstra/micropython-stubs
|
d97f879b01f6687baaebef1c7e26a80909c3cff3
|
[
"MIT"
] | 38
|
2020-10-18T21:59:44.000Z
|
2022-03-17T03:03:28.000Z
|
stubs/ev3_pybricks_1_0_0/uhashlib.py
|
RonaldHiemstra/micropython-stubs
|
d97f879b01f6687baaebef1c7e26a80909c3cff3
|
[
"MIT"
] | 176
|
2020-10-18T14:31:03.000Z
|
2022-03-30T23:22:39.000Z
|
stubs/ev3_pybricks_1_0_0/uhashlib.py
|
RonaldHiemstra/micropython-stubs
|
d97f879b01f6687baaebef1c7e26a80909c3cff3
|
[
"MIT"
] | 6
|
2020-12-28T21:11:12.000Z
|
2022-02-06T04:07:50.000Z
|
"""
Module: 'uhashlib' on LEGO EV3 v1.0.0
"""
# MCU: sysname=ev3, nodename=ev3, release=('v1.0.0',), version=('0.0.0',), machine=ev3
# Stubber: 1.3.2
class sha1:
''
def digest():
pass
def update():
pass
class sha256:
''
def digest():
pass
def update():
pass
| 13.333333
| 86
| 0.5125
| 43
| 320
| 3.813953
| 0.55814
| 0.04878
| 0.04878
| 0.195122
| 0.317073
| 0.317073
| 0
| 0
| 0
| 0
| 0
| 0.09009
| 0.30625
| 320
| 23
| 87
| 13.913043
| 0.648649
| 0.43125
| 0
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| true
| 0.333333
| 0
| 0
| 0.5
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
878ed1fd67baa0c5456e5183445f48ee5235cd07
| 119
|
py
|
Python
|
ingredients_characterization/nutrition/ciqual/__init__.py
|
openfoodfacts/off-product-environmental-impact
|
a78958fec1a21f057339184be27cf299d4fe12d1
|
[
"MIT"
] | 3
|
2021-09-07T13:46:25.000Z
|
2022-01-12T14:38:29.000Z
|
ingredients_characterization/nutrition/ciqual/__init__.py
|
openfoodfacts/off-product-environmental-impact
|
a78958fec1a21f057339184be27cf299d4fe12d1
|
[
"MIT"
] | 18
|
2021-09-13T16:19:26.000Z
|
2022-03-24T16:22:38.000Z
|
ingredients_characterization/nutrition/ciqual/__init__.py
|
openfoodfacts/off-product-environmental-impact
|
a78958fec1a21f057339184be27cf299d4fe12d1
|
[
"MIT"
] | null | null | null |
""" Nutritional characterization of the ingredients of the OFF taxonomy using CIQUAL (French nutritional database) """
| 59.5
| 118
| 0.798319
| 14
| 119
| 6.785714
| 0.785714
| 0.105263
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.134454
| 119
| 1
| 119
| 119
| 0.92233
| 0.92437
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
87c437491b7916075bb5de68985dcd1926705865
| 1,941
|
py
|
Python
|
test_functions.py
|
everyday847/trna_thread
|
963ef1ed3400fb4de06116815f56d84162b12960
|
[
"MIT"
] | 1
|
2019-07-28T13:54:03.000Z
|
2019-07-28T13:54:03.000Z
|
test_functions.py
|
everyday847/trna_thread
|
963ef1ed3400fb4de06116815f56d84162b12960
|
[
"MIT"
] | null | null | null |
test_functions.py
|
everyday847/trna_thread
|
963ef1ed3400fb4de06116815f56d84162b12960
|
[
"MIT"
] | null | null | null |
from lib.str_manip import dashed
from thread_denovo_trna import simple_match, import_dash_pattern
from lib.Sequence import Sequence
import mypy
from typing import List, Dict, Tuple
def test_dashed():
"""
We're okay with a terminating space because we can just strip it off if it
ever matters.
"""
assert(dashed([1,2,3,7,8,9], 'A') == "A:1-3 A:7-9 ")
def test_dashed_solo():
"""
We're okay with a terminating space because we can just strip it off if it
ever matters.
"""
assert(dashed([1,2,3,7,8,9,15], 'A') == "A:1-3 A:7-9 A:15 ")
def test_dashed_solo_mid():
"""
We're okay with a terminating space because we can just strip it off if it
ever matters.
"""
assert(dashed([1,2,3,5,7,8,9], 'A') == "A:1-3 A:5 A:7-9 ")
def test_simple_match_identity():
"""
aaa
"""
assert(simple_match(Sequence('A-'), Sequence('A-')) == 10)
assert(simple_match(Sequence('G-'), Sequence('G-')) == 10)
assert(simple_match(Sequence('GGAA---'), Sequence('GGAA---')) == 35)
def test_simple_match_gap_penalty():
assert(simple_match(Sequence('A-'), Sequence('-A')) == -20)
def test_simple_match_purine_eq():
assert(simple_match(Sequence('A-'), Sequence('G-')) == 7)
def test_simple_match_pyrimidine_eq():
assert(simple_match(Sequence('U-'), Sequence('C-')) == 7)
def test_simple_match_mod_U_eq():
assert(simple_match(Sequence('U-'), Sequence('T-')) == 8)
def test_import_dash_pattern_middle():
assert(import_dash_pattern(Sequence('A--A', '....'), 'GG') == 'G--G')
def test_import_dash_pattern_beginning():
assert(import_dash_pattern(Sequence('---AA', '....'), 'GG') == '---GG')
def test_import_dash_pattern_end():
assert(import_dash_pattern(Sequence('AA---', '....'), 'GG') == 'GG---')
def test_import_dash_pattern_dashes():
"""
Does this make sense?
"""
assert(import_dash_pattern(Sequence('AA---', '....'), 'G-G') == 'G---G')
| 31.306452
| 78
| 0.638331
| 297
| 1,941
| 3.959596
| 0.249158
| 0.121599
| 0.130102
| 0.14881
| 0.683673
| 0.522109
| 0.465136
| 0.336735
| 0.32568
| 0.32568
| 0
| 0.028977
| 0.164348
| 1,941
| 61
| 79
| 31.819672
| 0.696054
| 0.150438
| 0
| 0
| 0
| 0
| 0.095452
| 0
| 0
| 0
| 0
| 0
| 0.451613
| 1
| 0.387097
| true
| 0
| 0.419355
| 0
| 0.806452
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 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
| 1
| 0
| 1
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
87e505d81fa57880790e5c0de2ebda58b37fd4e5
| 127
|
py
|
Python
|
stats_scripts/mpmath/calculus/__init__.py
|
michalkouril/altanalyze
|
e721c79c56f7b0022516ff5456ebaa14104c933b
|
[
"Apache-2.0"
] | 73
|
2015-08-17T03:21:32.000Z
|
2022-01-02T17:37:56.000Z
|
stats_scripts/mpmath/calculus/__init__.py
|
michalkouril/altanalyze
|
e721c79c56f7b0022516ff5456ebaa14104c933b
|
[
"Apache-2.0"
] | 43
|
2017-07-30T03:30:04.000Z
|
2022-03-26T04:46:05.000Z
|
stats_scripts/mpmath/calculus/__init__.py
|
michalkouril/altanalyze
|
e721c79c56f7b0022516ff5456ebaa14104c933b
|
[
"Apache-2.0"
] | 30
|
2015-08-26T07:21:43.000Z
|
2021-12-09T02:53:25.000Z
|
import calculus
# XXX: hack to set methods
import approximation
import differentiation
import extrapolation
import polynomials
| 18.142857
| 26
| 0.858268
| 15
| 127
| 7.266667
| 0.733333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125984
| 127
| 6
| 27
| 21.166667
| 0.981982
| 0.188976
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
e20574e339d0813725a410fad77f864d6de2e62e
| 1,241
|
py
|
Python
|
tests/parse/test_get_surrounding_blocks.py
|
GSE-CCL/scratch-tools
|
4c17e671cf7f3493f04981a468b0afe9489bf403
|
[
"MIT"
] | null | null | null |
tests/parse/test_get_surrounding_blocks.py
|
GSE-CCL/scratch-tools
|
4c17e671cf7f3493f04981a468b0afe9489bf403
|
[
"MIT"
] | 9
|
2020-04-17T02:41:49.000Z
|
2020-07-07T15:38:27.000Z
|
tests/parse/test_get_surrounding_blocks.py
|
GSE-CCL/scratch-scrape
|
4c17e671cf7f3493f04981a468b0afe9489bf403
|
[
"MIT"
] | null | null | null |
import pytest
def test_get_surrounding_blocks_nodata(parser):
result = parser.get_surrounding_blocks("fakeid", dict())
assert result == False
def test_get_surrounding_blocks_nonexistent(parser, full_sb3):
result = parser.get_surrounding_blocks("fakeid", full_sb3)
assert result == False
def test_get_surrounding_blocks_delve(parser, full_sb3):
result = parser.get_surrounding_blocks("CupN)`F`z1tugXtDqYzj", full_sb3, delve=True)
assert type(result) == list
assert result == ["CupN)`F`z1tugXtDqYzj", "G+C7yL/-O.6MH2V,f@DG", "(Psor|t+4_@pna[eo4{0", "Fw-*+6_[m%^1H#z%J9:5", "Zb.aqYN8g)eq3U?(dp8D"]
def test_get_surrounding_blocks_even_count(parser, full_sb3):
result = parser.get_surrounding_blocks("G+C7yL/-O.6MH2V,f@DG", full_sb3, count=4)
assert type(result) == list
assert result == ["CupN)`F`z1tugXtDqYzj", "G+C7yL/-O.6MH2V,f@DG", "(Psor|t+4_@pna[eo4{0", "Fw-*+6_[m%^1H#z%J9:5"]
def test_get_surrounding_blocks_no_delve(parser, full_sb3):
result = parser.get_surrounding_blocks("CupN)`F`z1tugXtDqYzj", full_sb3)
assert type(result) == list
assert result == ["Aui.NpK5Cs_obawNI4{c", "[f|hsFZ%vg~}7{C}=*%5", "CupN)`F`z1tugXtDqYzj", "G+C7yL/-O.6MH2V,f@DG", "(Psor|t+4_@pna[eo4{0"]
| 49.64
| 141
| 0.709911
| 196
| 1,241
| 4.260204
| 0.285714
| 0.167665
| 0.239521
| 0.125749
| 0.853892
| 0.756886
| 0.649102
| 0.649102
| 0.435928
| 0.435928
| 0
| 0.045496
| 0.114424
| 1,241
| 24
| 142
| 51.708333
| 0.714286
| 0
| 0
| 0.263158
| 0
| 0
| 0.283642
| 0
| 0
| 0
| 0
| 0
| 0.421053
| 1
| 0.263158
| false
| 0
| 0.052632
| 0
| 0.315789
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 1
| 1
| 0
| 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
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
e20cd31aff1d409e3821c727fc308974bcfd620b
| 221
|
py
|
Python
|
Chapter01/chapter1/installing_openai_gym.py
|
CrazyNicolas/PyTorch-1.x-Reinforcement-Learning-Cookbook
|
614ee6055039e2b4f91fc762c6bc5c92aee3ee83
|
[
"MIT"
] | 1
|
2020-06-11T07:41:35.000Z
|
2020-06-11T07:41:35.000Z
|
Chapter01/chapter1/installing_openai_gym.py
|
AmazingDD/PyTorch-1.x-Reinforcement-Learning-Cookbook
|
1cca7e0218c2683a730b1c4a66681e68023657ef
|
[
"MIT"
] | null | null | null |
Chapter01/chapter1/installing_openai_gym.py
|
AmazingDD/PyTorch-1.x-Reinforcement-Learning-Cookbook
|
1cca7e0218c2683a730b1c4a66681e68023657ef
|
[
"MIT"
] | 1
|
2020-07-20T16:20:41.000Z
|
2020-07-20T16:20:41.000Z
|
'''
Source codes for PyTorch 1.0 Reinforcement Learning (Packt Publishing)
Chapter 1: Getting started with reinforcement learning and PyTorch
Author: Yuxi (Hayden) Liu
'''
from gym import envs
print(envs.registry.all())
| 24.555556
| 70
| 0.778281
| 31
| 221
| 5.548387
| 0.83871
| 0.244186
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.015707
| 0.135747
| 221
| 9
| 71
| 24.555556
| 0.884817
| 0.737557
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0.5
| 0
| 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
| 0
| 0
| 1
|
0
| 5
|
35a08cfb9e6e78b34ff6462d049b66333936f214
| 78
|
py
|
Python
|
Demo90/routes/__init__.py
|
De-Risking-Strategies/SensorFusionPublic
|
caa6ef7a5ac8991ee12ce2d5ad9b28e2b2b8ed38
|
[
"MIT"
] | null | null | null |
Demo90/routes/__init__.py
|
De-Risking-Strategies/SensorFusionPublic
|
caa6ef7a5ac8991ee12ce2d5ad9b28e2b2b8ed38
|
[
"MIT"
] | null | null | null |
Demo90/routes/__init__.py
|
De-Risking-Strategies/SensorFusionPublic
|
caa6ef7a5ac8991ee12ce2d5ad9b28e2b2b8ed38
|
[
"MIT"
] | null | null | null |
#Sensor Fusion ROUTES Package
print(f'Invoking ___init__.py for {__name__}')
| 19.5
| 46
| 0.782051
| 11
| 78
| 4.727273
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.115385
| 78
| 3
| 47
| 26
| 0.753623
| 0.358974
| 0
| 0
| 0
| 0
| 0.734694
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 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
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
35a626c9cce9c424d9f029ff747859b4ede726b5
| 259
|
py
|
Python
|
bauspartrackerapp/admin.py
|
hollesse/bauspartracker
|
3b490497a523707f5607483954ffbc3423053660
|
[
"MIT"
] | null | null | null |
bauspartrackerapp/admin.py
|
hollesse/bauspartracker
|
3b490497a523707f5607483954ffbc3423053660
|
[
"MIT"
] | null | null | null |
bauspartrackerapp/admin.py
|
hollesse/bauspartracker
|
3b490497a523707f5607483954ffbc3423053660
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from bauspartrackerapp.models import Bausparvertrag, Sparbeitrag, Buchung, SparbeitragJob
admin.site.register(Bausparvertrag)
admin.site.register(Sparbeitrag)
admin.site.register(Buchung)
admin.site.register(SparbeitragJob)
| 28.777778
| 89
| 0.853282
| 29
| 259
| 7.62069
| 0.448276
| 0.162896
| 0.307692
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.065637
| 259
| 8
| 90
| 32.375
| 0.913223
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 0
| 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
| 0
| 0
|
0
| 5
|
35e44455d0eafd20503ce3dde9a3b8700ff7ea7d
| 108
|
py
|
Python
|
cmd.py
|
Carrotor116/fserver
|
86934023fb080088854b4bae7867ad3667561111
|
[
"MIT"
] | 1
|
2020-08-06T01:25:14.000Z
|
2020-08-06T01:25:14.000Z
|
cmd.py
|
Carrotor116/fserver
|
86934023fb080088854b4bae7867ad3667561111
|
[
"MIT"
] | 1
|
2020-07-26T09:27:01.000Z
|
2020-07-26T09:27:01.000Z
|
cmd.py
|
Carrotor116/fserver
|
86934023fb080088854b4bae7867ad3667561111
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
from fserver.cmd import run_fserver
if __name__ == '__main__':
run_fserver()
| 13.5
| 35
| 0.648148
| 14
| 108
| 4.285714
| 0.785714
| 0.333333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.011494
| 0.194444
| 108
| 7
| 36
| 15.428571
| 0.678161
| 0.194444
| 0
| 0
| 0
| 0
| 0.094118
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 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
| 0
| 0
| 0
|
0
| 5
|
ea3548036ea2ba6c9edf8f6933ad88c30bbd8aef
| 217
|
py
|
Python
|
algorithms/algo4.py
|
dash61/AIM
|
f34031b13f69d2b9e028bb3bf54aab6fde06d817
|
[
"MIT"
] | 2
|
2021-05-11T22:35:55.000Z
|
2021-06-03T19:52:24.000Z
|
algorithms/algo4.py
|
dash61/AIM
|
f34031b13f69d2b9e028bb3bf54aab6fde06d817
|
[
"MIT"
] | 1
|
2021-01-19T02:49:30.000Z
|
2021-02-05T01:07:21.000Z
|
algorithms/algo4.py
|
dash61/AIM
|
f34031b13f69d2b9e028bb3bf54aab6fde06d817
|
[
"MIT"
] | null | null | null |
"""
Fourth algorithm function for application.
Fill in your own algorithmic code here.
"""
def calculate4(self):
'Calculate ROI and other params given historical stock data using ?? algorithm.'
return False
| 21.7
| 84
| 0.741935
| 28
| 217
| 5.75
| 0.964286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.00565
| 0.184332
| 217
| 9
| 85
| 24.111111
| 0.903955
| 0.746544
| 0
| 0
| 0
| 0
| 0.619048
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0
| 0.666667
| 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
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 5
|
ea7625e0b9924a6984e5e614f7211edba8347784
| 147
|
py
|
Python
|
mnist_arithmetic/__init__.py
|
e2crawfo/mnist_arithmetic
|
ba18f13cd8ed804e93548ae47a6a316088f05d53
|
[
"MIT"
] | 1
|
2019-10-17T19:20:45.000Z
|
2019-10-17T19:20:45.000Z
|
mnist_arithmetic/__init__.py
|
e2crawfo/mnist_arithmetic
|
ba18f13cd8ed804e93548ae47a6a316088f05d53
|
[
"MIT"
] | null | null | null |
mnist_arithmetic/__init__.py
|
e2crawfo/mnist_arithmetic
|
ba18f13cd8ed804e93548ae47a6a316088f05d53
|
[
"MIT"
] | null | null | null |
from .emnist import MnistArithmeticDataset, load_emnist
from .salience import SalienceDataset
from .omniglot import load_omniglot, omniglot_classes
| 49
| 55
| 0.877551
| 17
| 147
| 7.411765
| 0.529412
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.088435
| 147
| 3
| 56
| 49
| 0.940299
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
ea8d29985b649cfe98bb06090e127c2248b60df3
| 188
|
py
|
Python
|
Python/Basic Programs/reversenumber.py
|
themohitpapneja/Code_Dump
|
ec72144e66d12cba2ce719c37292517588490b42
|
[
"Apache-2.0"
] | null | null | null |
Python/Basic Programs/reversenumber.py
|
themohitpapneja/Code_Dump
|
ec72144e66d12cba2ce719c37292517588490b42
|
[
"Apache-2.0"
] | null | null | null |
Python/Basic Programs/reversenumber.py
|
themohitpapneja/Code_Dump
|
ec72144e66d12cba2ce719c37292517588490b42
|
[
"Apache-2.0"
] | null | null | null |
## reverse a 4-digit number using operators
a=eval(input("Enter any 4-Digit Number: "))
print((),(a//1000),a%1000,a%10000)
print((a%10)*1000 + ((a//10)%100)*100 + (a%1000)*10 + (a%10000))
| 37.6
| 64
| 0.632979
| 35
| 188
| 3.4
| 0.457143
| 0.12605
| 0.201681
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.238095
| 0.106383
| 188
| 4
| 65
| 47
| 0.470238
| 0.212766
| 0
| 0
| 0
| 0
| 0.17931
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.666667
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
5769dbc059fd9259875fff826c11550efa4ebec7
| 8,048
|
py
|
Python
|
tests/test_base_controllers.py
|
stuart-fb/pyrobot
|
2f06f337f84e2c0b172dcf5ee0cd8c7de73a50e1
|
[
"MIT"
] | 6
|
2020-03-08T00:56:25.000Z
|
2021-05-21T03:32:37.000Z
|
tests/test_base_controllers.py
|
stuart-fb/pyrobot
|
2f06f337f84e2c0b172dcf5ee0cd8c7de73a50e1
|
[
"MIT"
] | 16
|
2020-01-28T22:49:47.000Z
|
2022-03-11T23:51:24.000Z
|
tests/test_base_controllers.py
|
stuart-fb/pyrobot
|
2f06f337f84e2c0b172dcf5ee0cd8c7de73a50e1
|
[
"MIT"
] | 2
|
2022-02-15T21:28:53.000Z
|
2022-03-21T21:45:55.000Z
|
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import pytest
import time
import numpy as np
from pyrobot import Robot
from pyrobot.locobot.base_control_utils import \
get_trajectory_circle, get_trajectory_negcircle, _get_absolute_pose
from pyrobot.locobot.bicycle_model import wrap_theta
# Launch for running the following tests:
# roslaunch locobot_control main.launch use_arm:=false use_base:=true base:=create use_rviz:=false use_sim:=true
@pytest.fixture
def botname(request):
return request.config.getoption('botname')
def _mkdir_if_missing(dir_name):
if not os.path.exists(dir_name):
os.makedirs(dir_name)
def _get_time_str():
return time.strftime("%Y-%m-%d-%H-%M-%S", time.localtime())
@pytest.mark.parametrize("base_controller", ['ilqr'])
@pytest.mark.parametrize("base_planner", ['none'])
@pytest.mark.parametrize("close_loop", [True, False])
def test_trajectory_tracking_circle(botname, base_controller, base_planner, close_loop):
bot = Robot(botname, base_config={'base_controller': base_controller,
'base_planner': base_planner},
use_arm=False, use_camera=False)
dt = 1. / bot.configs.BASE.BASE_CONTROL_RATE
v = bot.configs.BASE.MAX_ABS_FWD_SPEED / 2.
w = bot.configs.BASE.MAX_ABS_TURN_SPEED / 2.
r = v / w
start_state = np.array(bot.base.get_state('odom'))
states, _ = get_trajectory_circle(start_state, dt, r, v, np.pi)
bot.base.track_trajectory(states, close_loop=close_loop)
end_state = np.array(bot.base.get_state('odom'))
dist = np.linalg.norm(states[-1, :2] - end_state[:2])
assert dist < 0.1
@pytest.mark.parametrize("base_controller", ['ilqr'])
@pytest.mark.parametrize("base_planner", ['none'])
@pytest.mark.parametrize("close_loop", [True, False])
def test_trajectory_tracking_two_circles(botname, base_controller, base_planner, close_loop):
bot = Robot(botname, base_config={'base_controller': base_controller,
'base_planner': base_planner},
use_arm=False, use_camera=False)
dt = 1. / bot.configs.BASE.BASE_CONTROL_RATE
v = bot.configs.BASE.MAX_ABS_FWD_SPEED / 2.
w = bot.configs.BASE.MAX_ABS_TURN_SPEED / 2.
r = v / w
start_state = np.array(bot.base.get_state('odom'))
states1, _ = get_trajectory_circle(start_state, dt, r, v, np.pi)
states2, _ = get_trajectory_negcircle(states1[-1, :] * 1, dt, r, v, np.pi)
states = np.concatenate([states1, states2], 0)
bot.base.track_trajectory(states, close_loop=close_loop)
end_state = np.array(bot.base.get_state('odom'))
dist = np.linalg.norm(states[-1, :2] - end_state[:2])
assert dist < 0.1
def _test_relative_position_control(posn, botname, base_controller,
base_planner, close_loop, smooth,
trans_thresh, angular_thresh):
bot = Robot(botname, base_config={'base_controller': base_controller,
'base_planner': base_planner},
use_arm=False, use_camera=False)
start_state = np.array(bot.base.get_state('odom'))
desired_target = _get_absolute_pose(posn, start_state)
bot.base.go_to_relative(posn, use_map=False, close_loop=close_loop, smooth=smooth)
end_state = np.array(bot.base.get_state('odom'))
if False:
# Plot results to file
file_name = '{:s}_position_{:s}_controller_{:s}_planner_{:s}_close{:d}_smooth{:d}-{:s}.pdf'
posn_str = ['{:0.1f}'.format(x) for x in posn]
file_name = file_name.format(botname, ','.join(posn_str),
base_controller, base_planner, int(close_loop), int(smooth),
_get_time_str())
tmp_dir = os.path.join(os.path.dirname(__file__), 'tmp')
_mkdir_if_missing(tmp_dir)
file_name = os.path.join(tmp_dir, file_name)
bot.base.controller.plot_plan_execution(file_name)
dist = np.linalg.norm(end_state[:2] - desired_target[:2])
angle = end_state[2] - desired_target[2]
angle = np.abs(wrap_theta(angle))
assert dist < trans_thresh
assert angle * 180. / np.pi < angular_thresh
posns = np.array([[1., 0., 0.], [0., 0., np.pi], [1., 1., np.pi / 2.],
[1., 1., 0.], [-1., 0., 0.]], dtype=np.float32)
@pytest.mark.parametrize("base_controller", ['proportional'])
@pytest.mark.parametrize("base_planner", ['none'])
@pytest.mark.parametrize("close_loop", [True])
@pytest.mark.parametrize("smooth", [False])
@pytest.mark.parametrize("posn", posns)
def test_relative_position_control1(botname, posn, base_controller, base_planner, close_loop, smooth):
_test_relative_position_control(posn, botname, base_controller,
base_planner, close_loop, smooth, 0.05, 10)
@pytest.mark.parametrize("base_controller", ['movebase'])
@pytest.mark.parametrize("base_planner", ['none'])
@pytest.mark.parametrize("close_loop", [True])
@pytest.mark.parametrize("smooth", [False])
@pytest.mark.parametrize("posn", posns)
def test_relative_position_control1_movebase(botname, posn, base_controller, base_planner, close_loop, smooth):
_test_relative_position_control(posn, botname, base_controller,
base_planner, close_loop, smooth, 0.25, 20)
@pytest.mark.parametrize("base_controller", ['ilqr'])
@pytest.mark.parametrize("base_planner", ['none'])
@pytest.mark.parametrize("posn", posns)
def test_relative_position_control2_close_smooth(botname, posn, base_controller, base_planner):
_test_relative_position_control(posn, botname, base_controller,
base_planner, True, True, 0.05, 10)
@pytest.mark.parametrize("base_controller", ['ilqr'])
@pytest.mark.parametrize("base_planner", ['none'])
@pytest.mark.parametrize("posn", posns)
def test_relative_position_control2_open_smooth(botname, posn, base_controller, base_planner):
_test_relative_position_control(posn, botname, base_controller,
base_planner, False, True, 0.10, 20)
@pytest.mark.parametrize("base_controller", ['ilqr'])
@pytest.mark.parametrize("base_planner", ['none'])
@pytest.mark.parametrize("posn", posns)
def test_relative_position_control2_close_sharp(botname, posn, base_controller, base_planner):
_test_relative_position_control(posn, botname, base_controller,
base_planner, True, False, 0.05, 10)
@pytest.mark.parametrize("base_controller", ['ilqr'])
@pytest.mark.parametrize("base_planner", ['none'])
@pytest.mark.parametrize("posn", posns)
def test_relative_position_control2_open_sharp(botname, posn, base_controller, base_planner):
_test_relative_position_control(posn, botname, base_controller,
base_planner, False, False, 0.10, 20)
@pytest.mark.parametrize("base_controller", ['proportional', 'ilqr'])
@pytest.mark.parametrize("base_planner", ['movebase'])
@pytest.mark.parametrize("close_loop", [True])
@pytest.mark.parametrize("smooth", [False])
@pytest.mark.parametrize("posn", posns[:1, :])
def test_relative_position_control3(botname, posn, base_controller, base_planner, close_loop, smooth):
_test_relative_position_control(posn, botname, base_controller,
base_planner, close_loop, smooth, 0.05, 10)
@pytest.mark.parametrize("base_controller", ['movebase'])
@pytest.mark.parametrize("base_planner", ['movebase'])
@pytest.mark.parametrize("close_loop", [True])
@pytest.mark.parametrize("smooth", [False])
@pytest.mark.parametrize("posn", posns[:1, :])
def test_relative_position_control3_movebase(botname, posn, base_controller, base_planner, close_loop, smooth):
_test_relative_position_control(posn, botname, base_controller,
base_planner, close_loop, smooth, 0.25, 20)
| 45.213483
| 112
| 0.687624
| 1,052
| 8,048
| 4.977186
| 0.159696
| 0.072574
| 0.152406
| 0.109817
| 0.740833
| 0.738732
| 0.7267
| 0.716005
| 0.707792
| 0.694423
| 0
| 0.014984
| 0.179051
| 8,048
| 177
| 113
| 45.468927
| 0.777509
| 0.042247
| 0
| 0.57037
| 0
| 0.007407
| 0.093365
| 0.009999
| 0
| 0
| 0
| 0
| 0.02963
| 1
| 0.103704
| false
| 0
| 0.051852
| 0.014815
| 0.17037
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 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
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
578e05116b46078c34a30ac92c819c89603f7d1b
| 232
|
py
|
Python
|
src/lyrics/exceptions.py
|
LimaGuilherme/what-is-your-band-favorite-word-api
|
dff4a9ed120bdd9dca1ad72167aa963d15d810ca
|
[
"MIT"
] | null | null | null |
src/lyrics/exceptions.py
|
LimaGuilherme/what-is-your-band-favorite-word-api
|
dff4a9ed120bdd9dca1ad72167aa963d15d810ca
|
[
"MIT"
] | null | null | null |
src/lyrics/exceptions.py
|
LimaGuilherme/what-is-your-band-favorite-word-api
|
dff4a9ed120bdd9dca1ad72167aa963d15d810ca
|
[
"MIT"
] | null | null | null |
class LyricsNotFound(Exception):
pass
class ElasticSearchConnectionError(Exception):
pass
class InvalidRepository(Exception):
pass
class ArtistNotFound(Exception):
pass
class ConfigError(Exception):
pass
| 12.210526
| 46
| 0.75
| 20
| 232
| 8.7
| 0.4
| 0.373563
| 0.413793
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.185345
| 232
| 18
| 47
| 12.888889
| 0.920635
| 0
| 0
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
| 0
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 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
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
579dd3aa82c64303c7249f345c3404a33f42c196
| 6,225
|
py
|
Python
|
tests/utils_test/test_morph.py
|
JanekEbb/paderbox
|
7cd3bf92380e05ec856936d21a64d0a8a3ff0fca
|
[
"MIT"
] | 25
|
2019-12-21T21:10:08.000Z
|
2022-02-04T10:40:19.000Z
|
tests/utils_test/test_morph.py
|
JanekEbb/paderbox
|
7cd3bf92380e05ec856936d21a64d0a8a3ff0fca
|
[
"MIT"
] | 32
|
2019-12-21T21:48:24.000Z
|
2022-03-31T08:20:39.000Z
|
tests/utils_test/test_morph.py
|
JanekEbb/paderbox
|
7cd3bf92380e05ec856936d21a64d0a8a3ff0fca
|
[
"MIT"
] | 254
|
2019-12-16T08:15:08.000Z
|
2021-11-26T12:41:12.000Z
|
import unittest
import numpy as np
import paderbox.testing as tc
from paderbox.array import morph
T, B, F = 40, 6, 50
A = np.random.uniform(size=(T, B, F))
A2 = np.random.uniform(size=(T, 1, B, F))
A3 = np.random.uniform(size=(T*B*F,))
A4 = np.random.uniform(size=(T, 1, 1, B, 1, F))
class TestMorph(unittest.TestCase):
def test_noop_comma(self):
result = morph('T,B,F->T,B,F', A)
tc.assert_equal(result.shape, (T, B, F))
tc.assert_equal(result, A)
def test_noop_space(self):
result = morph('T B F->T B F', A)
tc.assert_equal(result.shape, (T, B, F))
tc.assert_equal(result, A)
def test_noop_mixed(self):
result = morph('tbf->t, b f', A)
tc.assert_equal(result.shape, (T, B, F))
tc.assert_equal(result, A)
def test_transpose_comma(self):
result = morph('T,B,F->F,T,B', A)
tc.assert_equal(result.shape, (F, T, B))
tc.assert_equal(result, A.transpose(2, 0, 1))
def test_transpose_mixed(self):
result = morph('t, b, f -> f t b', A)
tc.assert_equal(result.shape, (F, T, B))
tc.assert_equal(result, A.transpose(2, 0, 1))
def test_broadcast_axis_0(self):
result = morph('T,B,F->1,T,B,F', A)
tc.assert_equal(result.shape, (1, T, B, F))
tc.assert_equal(result, A[None, ...])
def test_broadcast_axis_2(self):
result = morph('T,B,F->T,B,1,F', A)
tc.assert_equal(result.shape, (T, B, 1, F))
tc.assert_equal(result, A[..., None, :])
def test_broadcast_axis_3(self):
result = morph('T,B,F->T,B,F,1', A)
tc.assert_equal(result.shape, (T, B, F, 1))
tc.assert_equal(result, A[..., None])
def test_reshape_comma(self):
result = morph('T,B,F->T,B*F', A)
tc.assert_equal(result.shape, (T, B*F))
tc.assert_equal(result, A.reshape(T, B*F))
def test_reshape_comma_unflatten(self):
result = morph('t*b*f->tbf', A3, t=T, b=B)
tc.assert_equal(result.shape, (T, B, F))
tc.assert_equal(result, A3.reshape((T, B, F)))
def test_reshape_comma_unflatten_and_transpose_and_flatten(self):
result = morph('t*b*f->f, t*b', A3, f=F, t=T)
tc.assert_equal(result.shape, (F, T*B))
tc.assert_equal(result, A3.reshape((T*B, F)).transpose((1, 0)))
def test_reshape_comma_flat(self):
result = morph('T,B,F->T*B*F', A)
tc.assert_equal(result.shape, (T*B*F,))
tc.assert_equal(result, A.ravel())
def test_reshape_comma_with_singleton_input(self):
result = morph('T, 1, B, F -> T*B*F', A2)
tc.assert_equal(result.shape, (T*B*F,))
tc.assert_equal(result, A2.ravel())
def test_reshape_and_broadcast(self):
tc.assert_equal(morph('T,B,F->T,1,B*F', A).shape, (T, 1, B*F))
tc.assert_equal(morph('T,B,F->T,1,B*F', A).ravel(), A.ravel())
def test_reshape_and_broadcast_many(self):
result = morph('T,B,F->1,T,1,B*F,1', A)
tc.assert_equal(result.shape, (1, T, 1, B*F, 1))
def test_swap_and_reshape(self):
result = morph('T,B,F->T,F*B', A)
tc.assert_equal(result.shape, (T, F * B))
tc.assert_equal(result, A.swapaxes(-1, -2).reshape(T, F * B))
def test_transpose_and_reshape(self):
result = morph('T,B,F->F,B*T', A)
tc.assert_equal(result.shape, (F, B*T))
tc.assert_equal(result, A.transpose(2, 1, 0).reshape(F, B*T))
def test_transpose_capital(self):
result = morph('tbB->tBb', A)
tc.assert_equal(result.shape, (T, F, B))
tc.assert_equal(result, A.transpose(0, 2, 1))
def test_all_comma(self):
tc.assert_equal(morph('T,B,F->F,1,B*T', A).shape, (F, 1, B*T))
def test_all_space(self):
tc.assert_equal(morph('t b f -> f1b*t', A).shape, (F, 1, B*T))
def test_ellipsis_3(self):
tc.assert_equal(morph('...->...', A).shape, (T, B, F))
def test_ellipsis_2(self):
tc.assert_equal(morph('...F->...F', A).shape, (T, B, F))
def test_ellipsis_2_begin(self):
tc.assert_equal(morph('T...->T...', A).shape, (T, B, F))
def test_ellipsis_2_letter_conflict(self):
tc.assert_equal(morph('a...->a...', A).shape, (T, B, F))
def test_ellipsis_1(self):
tc.assert_equal(morph('...BF->...FB', A).shape, (T, F, B))
def test_ellipsis_1_begin(self):
tc.assert_equal(morph('TB...->BT...', A).shape, (B, T, F))
def test_ellipsis_1_mid(self):
tc.assert_equal(morph('T...F->F...T', A).shape, (F, B, T))
def test_ellipsis_0(self):
tc.assert_equal(morph('...TBF->...TFB', A).shape, (T, F, B))
def test_ellipsis_0_begin(self):
tc.assert_equal(morph('TBF...->TFB...', A).shape, (T, F, B))
def test_ellipsis_expand_0(self):
tc.assert_equal(
morph(
'a*b...->ab...',
A,
a=T // 2,
b=2
).shape, (T // 2, 2, B, F))
def test_ellipsis_expand_1(self):
tc.assert_equal(
morph(
'...a*b->...ab',
A,
a=F // 2,
b=2
).shape, (T, B, F // 2, 2))
def test_reduce_mean(self):
tc.assert_equal(
morph(
'...F->...',
A,
reduce=np.mean
).shape, (T, B))
tc.assert_equal(
morph(
'...F->...',
A,
reduce=np.mean
), np.mean(A, axis=-1))
def test_reduce_median(self):
tc.assert_equal(
morph(
'...F->...',
A,
reduce=np.median
).shape, (T, B))
tc.assert_equal(
morph(
'...F->...',
A,
reduce=np.median
), np.median(A, axis=-1))
def test_reduce_sum(self):
tc.assert_equal(
morph(
'...F->...',
A,
reduce=np.sum
).shape, (T, B))
tc.assert_equal(
morph(
'...F->...',
A,
reduce=np.sum
), np.sum(A, axis=-1))
| 31.923077
| 71
| 0.52
| 966
| 6,225
| 3.197723
| 0.081781
| 0.037553
| 0.227258
| 0.202978
| 0.809971
| 0.76821
| 0.657494
| 0.619618
| 0.537714
| 0.382972
| 0
| 0.017926
| 0.292048
| 6,225
| 194
| 72
| 32.087629
| 0.683004
| 0
| 0
| 0.343949
| 0
| 0
| 0.073735
| 0
| 0
| 0
| 0
| 0
| 0.343949
| 1
| 0.216561
| false
| 0
| 0.025478
| 0
| 0.248408
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 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
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
57dba0e6434e7de02990f1e3a92cae51bb90b96c
| 141
|
py
|
Python
|
components/collector/src/source_model/__init__.py
|
Erik-Stel/quality-time
|
602b6970e5d9088cb89cc6d488337349e54e1c9a
|
[
"Apache-2.0"
] | null | null | null |
components/collector/src/source_model/__init__.py
|
Erik-Stel/quality-time
|
602b6970e5d9088cb89cc6d488337349e54e1c9a
|
[
"Apache-2.0"
] | null | null | null |
components/collector/src/source_model/__init__.py
|
Erik-Stel/quality-time
|
602b6970e5d9088cb89cc6d488337349e54e1c9a
|
[
"Apache-2.0"
] | null | null | null |
"""Model package."""
from .entity import Entities, Entity
from .measurement import SourceMeasurement
from .responses import SourceResponses
| 23.5
| 42
| 0.808511
| 15
| 141
| 7.6
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.113475
| 141
| 5
| 43
| 28.2
| 0.912
| 0.099291
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
57dbe61128a55390d1b0dad863bf47373fe0c412
| 76
|
py
|
Python
|
code snippets/list_comprehension.py
|
akshaynagpal/python_snippets
|
86896150cc5b6ab37ea289cb7659d04a22a288ac
|
[
"MIT"
] | null | null | null |
code snippets/list_comprehension.py
|
akshaynagpal/python_snippets
|
86896150cc5b6ab37ea289cb7659d04a22a288ac
|
[
"MIT"
] | null | null | null |
code snippets/list_comprehension.py
|
akshaynagpal/python_snippets
|
86896150cc5b6ab37ea289cb7659d04a22a288ac
|
[
"MIT"
] | null | null | null |
even_squares = [x**2 for x in range(1,11) if x%2 == 0 ]
print even_squares
| 19
| 55
| 0.657895
| 17
| 76
| 2.823529
| 0.705882
| 0.458333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.098361
| 0.197368
| 76
| 3
| 56
| 25.333333
| 0.688525
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.5
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
17cb33c2ae598f99d591d2de363ae38c90adab46
| 95
|
py
|
Python
|
caqi/scripts/create_project.py
|
chrisgervang/caqi
|
1441ea0dc66add6611005b9aebdf37dfc12d3811
|
[
"MIT"
] | null | null | null |
caqi/scripts/create_project.py
|
chrisgervang/caqi
|
1441ea0dc66add6611005b9aebdf37dfc12d3811
|
[
"MIT"
] | null | null | null |
caqi/scripts/create_project.py
|
chrisgervang/caqi
|
1441ea0dc66add6611005b9aebdf37dfc12d3811
|
[
"MIT"
] | null | null | null |
from prefect import Client
client = Client()
client.create_project(project_name="caqi-flows")
| 19
| 48
| 0.8
| 13
| 95
| 5.692308
| 0.692308
| 0.486486
| 0.486486
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.094737
| 95
| 4
| 49
| 23.75
| 0.860465
| 0
| 0
| 0
| 0
| 0
| 0.105263
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 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
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
aa38006fd2abe646ad711730671c51767a6c838c
| 54
|
py
|
Python
|
sessions/session_01.py
|
pavanmaradia/202102-Python-Django-Training
|
6ce836009acf037a921b7439a6edda7fc8370dcb
|
[
"MIT"
] | 1
|
2021-02-09T16:14:36.000Z
|
2021-02-09T16:14:36.000Z
|
sessions/session_01.py
|
pavanmaradia/202102-Python-Django-Training
|
6ce836009acf037a921b7439a6edda7fc8370dcb
|
[
"MIT"
] | null | null | null |
sessions/session_01.py
|
pavanmaradia/202102-Python-Django-Training
|
6ce836009acf037a921b7439a6edda7fc8370dcb
|
[
"MIT"
] | null | null | null |
print("Hello World")
print("My name is Pavan Maradia")
| 27
| 33
| 0.740741
| 9
| 54
| 4.444444
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.111111
| 54
| 2
| 33
| 27
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0.636364
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 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
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
aa3afd5361d6cca4c856ba4a4d0f6b45b9d50161
| 278
|
py
|
Python
|
MINI_WEB/mini_web/framework/mini_frame_1.py
|
GalphaXie/LaoX
|
b7e8f9744292dc052c870e4d873052e9bfec19ee
|
[
"MIT"
] | null | null | null |
MINI_WEB/mini_web/framework/mini_frame_1.py
|
GalphaXie/LaoX
|
b7e8f9744292dc052c870e4d873052e9bfec19ee
|
[
"MIT"
] | 12
|
2020-03-24T17:39:25.000Z
|
2022-03-12T00:01:24.000Z
|
MINI_WEB/mini_web/framework/mini_frame_1.py
|
GalphaXie/LaoX
|
b7e8f9744292dc052c870e4d873052e9bfec19ee
|
[
"MIT"
] | null | null | null |
#!/usr/bin/python3
# file: mini_frame.py
# Created by Guang at 19-7-19
# description:
# *-* coding:utf8 *-*
import time
def login():
return "Welcome xxx to website! %s" % time.ctime()
def register():
return "Welcome xxx register on our website! %s" % time.ctime()
| 18.533333
| 68
| 0.651079
| 41
| 278
| 4.390244
| 0.731707
| 0.144444
| 0.177778
| 0.188889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.03125
| 0.194245
| 278
| 15
| 68
| 18.533333
| 0.772321
| 0.352518
| 0
| 0
| 0
| 0
| 0.380682
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| true
| 0
| 0.2
| 0.4
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 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
| 5
|
a4bec53bcda6e2d722e2cb189aa2b9afcc501350
| 267
|
py
|
Python
|
KerbalLanderEnvironment/__init__.py
|
dpohanlon/KerbalLanderEnvironment
|
d591f9c4e993cf922c2832aac54f5a55366439cf
|
[
"MIT"
] | 2
|
2021-07-05T03:16:19.000Z
|
2021-12-09T13:37:08.000Z
|
KerbalLanderEnvironment/__init__.py
|
dpohanlon/KerbalLanderEnvironment
|
d591f9c4e993cf922c2832aac54f5a55366439cf
|
[
"MIT"
] | null | null | null |
KerbalLanderEnvironment/__init__.py
|
dpohanlon/KerbalLanderEnvironment
|
d591f9c4e993cf922c2832aac54f5a55366439cf
|
[
"MIT"
] | null | null | null |
from gym.envs.registration import register
register(id='KerbalLander-v0',
entry_point='KerbalLanderEnvironment.envs:KerbalLanderEnvironment',
)
register(id='KerbalLanderSimple-v0',
entry_point='KerbalLanderEnvironment.envs:KerbalLanderSimpleEnvironment',
)
| 26.7
| 77
| 0.820225
| 24
| 267
| 9.041667
| 0.583333
| 0.092166
| 0.110599
| 0.322581
| 0.359447
| 0
| 0
| 0
| 0
| 0
| 0
| 0.008097
| 0.074906
| 267
| 9
| 78
| 29.666667
| 0.870445
| 0
| 0
| 0
| 0
| 0
| 0.546816
| 0.490637
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.142857
| 0
| 0.142857
| 0
| 1
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
352ad1262868bac74344bf07990e300c1c377ffe
| 1,150
|
py
|
Python
|
backend/myplaces/migrations/0010_auto_20220516_0955.py
|
crowdbotics-apps/ideapros-llc-viaggi-32125
|
8749fea0e08f50289cb7a192fd4d923f94770386
|
[
"FTL",
"AML",
"RSA-MD"
] | null | null | null |
backend/myplaces/migrations/0010_auto_20220516_0955.py
|
crowdbotics-apps/ideapros-llc-viaggi-32125
|
8749fea0e08f50289cb7a192fd4d923f94770386
|
[
"FTL",
"AML",
"RSA-MD"
] | null | null | null |
backend/myplaces/migrations/0010_auto_20220516_0955.py
|
crowdbotics-apps/ideapros-llc-viaggi-32125
|
8749fea0e08f50289cb7a192fd4d923f94770386
|
[
"FTL",
"AML",
"RSA-MD"
] | null | null | null |
# Generated by Django 2.2.28 on 2022-05-16 09:55
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('myplaces', '0009_auto_20220515_1138'),
]
operations = [
migrations.AddField(
model_name='place',
name='formatted_address',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AddField(
model_name='place',
name='formatted_phone_number',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AddField(
model_name='place',
name='international_phone_number',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AddField(
model_name='place',
name='url',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AddField(
model_name='place',
name='website',
field=models.CharField(blank=True, max_length=255, null=True),
),
]
| 29.487179
| 74
| 0.578261
| 119
| 1,150
| 5.436975
| 0.369748
| 0.139104
| 0.177743
| 0.208655
| 0.718702
| 0.718702
| 0.718702
| 0.63524
| 0.63524
| 0.63524
| 0
| 0.058677
| 0.303478
| 1,150
| 38
| 75
| 30.263158
| 0.749064
| 0.04
| 0
| 0.625
| 1
| 0
| 0.118875
| 0.064428
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.03125
| 0
| 0.125
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 1
| 1
| 0
| 0
| 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
| 5
|
352c7e3d4df3057ff4a19fa92a39066cf0945034
| 181
|
py
|
Python
|
Python/cython/rowdotsetup.py
|
jessicaleete/numerical_computing
|
cc71f51f35ca74d00e617af3d1a0223e19fb9a68
|
[
"CC-BY-3.0"
] | 10
|
2016-10-18T19:54:25.000Z
|
2021-10-09T20:12:38.000Z
|
Python/cython/rowdotsetup.py
|
jessicaleete/numerical_computing
|
cc71f51f35ca74d00e617af3d1a0223e19fb9a68
|
[
"CC-BY-3.0"
] | null | null | null |
Python/cython/rowdotsetup.py
|
jessicaleete/numerical_computing
|
cc71f51f35ca74d00e617af3d1a0223e19fb9a68
|
[
"CC-BY-3.0"
] | 2
|
2017-05-14T16:07:59.000Z
|
2020-06-20T09:05:06.000Z
|
from distutils.core import setup
from Cython.Build import cythonize
import numpy
setup(name = "rowdot", ext_modules = cythonize('rowdot.pyx'), include_dirs=[numpy.get_include()], )
| 36.2
| 99
| 0.779006
| 25
| 181
| 5.52
| 0.68
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.099448
| 181
| 4
| 100
| 45.25
| 0.846626
| 0
| 0
| 0
| 0
| 0
| 0.088398
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.75
| 0
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
107a1eb8d15f317190fa1548d7088f81416a2d85
| 40
|
py
|
Python
|
tests/__init__.py
|
Bouchet07/intelligen
|
d876b1241efe7ad70fa759e1f10728728f867992
|
[
"MIT"
] | null | null | null |
tests/__init__.py
|
Bouchet07/intelligen
|
d876b1241efe7ad70fa759e1f10728728f867992
|
[
"MIT"
] | null | null | null |
tests/__init__.py
|
Bouchet07/intelligen
|
d876b1241efe7ad70fa759e1f10728728f867992
|
[
"MIT"
] | null | null | null |
"""Unit test package for intelligen."""
| 20
| 39
| 0.7
| 5
| 40
| 5.6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125
| 40
| 1
| 40
| 40
| 0.8
| 0.825
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
10a5061bd78f2c222e12007e870b7a28687728f4
| 159
|
py
|
Python
|
tests/algorithms/__init__.py
|
Landanjs/composer
|
de75822706bc8a33e7d487b33a0b994944b9c806
|
[
"Apache-2.0"
] | 1
|
2021-11-09T22:58:46.000Z
|
2021-11-09T22:58:46.000Z
|
tests/algorithms/__init__.py
|
Landanjs/composer
|
de75822706bc8a33e7d487b33a0b994944b9c806
|
[
"Apache-2.0"
] | null | null | null |
tests/algorithms/__init__.py
|
Landanjs/composer
|
de75822706bc8a33e7d487b33a0b994944b9c806
|
[
"Apache-2.0"
] | null | null | null |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
from tests.algorithms.algorithm_settings import get_settings as get_settings
| 31.8
| 76
| 0.842767
| 22
| 159
| 5.954545
| 0.863636
| 0.167939
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.041958
| 0.100629
| 159
| 4
| 77
| 39.75
| 0.874126
| 0.477987
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
52b8271924e4b63fe8431f291f4ae87957db0831
| 2,366
|
py
|
Python
|
metaswitch_tinder/components/grid.py
|
MartinHowarth/melinda
|
651591a16797bc5dc95e784e8c35eb57fc8de41f
|
[
"MIT"
] | 1
|
2018-05-12T19:56:27.000Z
|
2018-05-12T19:56:27.000Z
|
metaswitch_tinder/components/grid.py
|
MartinHowarth/melinda
|
651591a16797bc5dc95e784e8c35eb57fc8de41f
|
[
"MIT"
] | 24
|
2018-05-12T19:07:40.000Z
|
2018-06-12T21:46:50.000Z
|
metaswitch_tinder/components/grid.py
|
MartinHowarth/melinda
|
651591a16797bc5dc95e784e8c35eb57fc8de41f
|
[
"MIT"
] | null | null | null |
import dash_html_components as html
def create_equal_grid(elements):
"""
:param elements: List of rows, of which each is a list of columns
Rows must be of equal length.
Each element of a row must be a html.Div.
:return:
"""
n_columns = len(elements[0])
if not all([len(row) == n_columns for row in elements]):
raise ValueError("Not all rows are of the same length.")
# Bootstrap allows a maximum of 12 columns per grid.
column_class = "col-sm-{}".format(int(12 / n_columns))
grid_children = []
for row in elements:
row_children = []
for col in row:
if hasattr(col, "className"):
col.className += " {}".format(column_class)
else:
col.className = column_class
row_children.append(col)
grid_children.append(html.Div(children=row_children, className="row"))
grid = html.Div(children=grid_children, className="container")
return grid
def create_equal_row(elements):
return create_equal_grid([elements])
def create_magic_three_grid(elements):
"""
:param elements: List of rows, of which each is a list of columns
Rows must be of equal length.
Each element of a row must be a html.Div.
:return:
"""
n_columns = len(elements[0])
if not all([len(row) == n_columns for row in elements]):
raise ValueError("Not all rows are of the same length.")
grid_children = []
for row in elements:
row_children = []
for num, col in enumerate(row):
if (num == 0) or (num == 2):
column_class = "col-sm-2 align-middle"
elif num == 1:
column_class = "col-sm-4 align-middle"
else:
break
if hasattr(col, "className"):
col.className += " {}".format(column_class)
else:
col.className = column_class
row_children.append(col)
if (num == 0) or (num == 1):
row_children.append(html.Div("", className="col-sm-2"))
grid_children.append(html.Div(children=row_children, className="row"))
grid = html.Div(children=grid_children, className="container")
return grid
def create_magic_three_row(elements):
return create_magic_three_grid([elements])
| 29.209877
| 78
| 0.598901
| 311
| 2,366
| 4.421222
| 0.21865
| 0.035636
| 0.023273
| 0.046545
| 0.754909
| 0.706909
| 0.706909
| 0.706909
| 0.706909
| 0.645818
| 0
| 0.008388
| 0.29459
| 2,366
| 80
| 79
| 29.575
| 0.815458
| 0.152578
| 0
| 0.630435
| 0
| 0
| 0.091889
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.086957
| false
| 0
| 0.021739
| 0.043478
| 0.195652
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 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
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
5e2402ff01388e02e821916011528b1ae1b8b977
| 141
|
py
|
Python
|
run.py
|
modelop/fastscore-cli
|
1e14a00d473eece35b7dfe6791137af2ddd569ee
|
[
"Apache-2.0"
] | 4
|
2017-06-06T15:41:51.000Z
|
2019-02-06T17:14:41.000Z
|
run.py
|
modelop/fastscore-cli
|
1e14a00d473eece35b7dfe6791137af2ddd569ee
|
[
"Apache-2.0"
] | 4
|
2017-04-10T10:06:00.000Z
|
2019-01-29T11:11:11.000Z
|
run.py
|
modelop/fastscore-cli
|
1e14a00d473eece35b7dfe6791137af2ddd569ee
|
[
"Apache-2.0"
] | null | null | null |
#!/usr/bin/python
from cli import dispatch
import sys
def main():
return dispatch.main()
if __name__ == "__main__":
sys.exit(main())
| 11.75
| 26
| 0.680851
| 20
| 141
| 4.4
| 0.7
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.170213
| 141
| 11
| 27
| 12.818182
| 0.752137
| 0.113475
| 0
| 0
| 0
| 0
| 0.065041
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| true
| 0
| 0.333333
| 0.166667
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 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
| 0
| 1
| 0
| 1
| 1
| 1
| 0
|
0
| 5
|
5e257b62886200366be9a70881fc76bfab830611
| 55
|
py
|
Python
|
src/analyze/__init__.py
|
ppisarski/digit-recognizer
|
4cfc5469a158045ed454764a3a591352b37adced
|
[
"MIT"
] | null | null | null |
src/analyze/__init__.py
|
ppisarski/digit-recognizer
|
4cfc5469a158045ed454764a3a591352b37adced
|
[
"MIT"
] | null | null | null |
src/analyze/__init__.py
|
ppisarski/digit-recognizer
|
4cfc5469a158045ed454764a3a591352b37adced
|
[
"MIT"
] | null | null | null |
from .confusion_matrix import *
from .history import *
| 18.333333
| 31
| 0.781818
| 7
| 55
| 6
| 0.714286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.145455
| 55
| 2
| 32
| 27.5
| 0.893617
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
eaa3b5553c3c9727b7c98ddbf6e193acc91c45eb
| 123
|
py
|
Python
|
tests/test_module.py
|
DNXLabs/python-module-template
|
28cde52ad9744ca0cd8825ec922ac401b8eaf2fb
|
[
"Apache-2.0"
] | null | null | null |
tests/test_module.py
|
DNXLabs/python-module-template
|
28cde52ad9744ca0cd8825ec922ac401b8eaf2fb
|
[
"Apache-2.0"
] | null | null | null |
tests/test_module.py
|
DNXLabs/python-module-template
|
28cde52ad9744ca0cd8825ec922ac401b8eaf2fb
|
[
"Apache-2.0"
] | null | null | null |
import pytest
from module.utils import template
def test_module():
result = template()
assert result == 'Template'
| 20.5
| 33
| 0.723577
| 15
| 123
| 5.866667
| 0.666667
| 0.318182
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.186992
| 123
| 6
| 34
| 20.5
| 0.88
| 0
| 0
| 0
| 0
| 0
| 0.064516
| 0
| 0
| 0
| 0
| 0
| 0.2
| 1
| 0.2
| false
| 0
| 0.4
| 0
| 0.6
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
eac3a3dbc184bcfe18cec6acbed3fc7b3d231206
| 136
|
py
|
Python
|
source/__main__.py
|
zackjohnson8/TeamCityTestRepo
|
ccf719fb49f3dda579f1f9d6792229a4686252cb
|
[
"MIT"
] | null | null | null |
source/__main__.py
|
zackjohnson8/TeamCityTestRepo
|
ccf719fb49f3dda579f1f9d6792229a4686252cb
|
[
"MIT"
] | null | null | null |
source/__main__.py
|
zackjohnson8/TeamCityTestRepo
|
ccf719fb49f3dda579f1f9d6792229a4686252cb
|
[
"MIT"
] | null | null | null |
import shutil
import sys
import team_city_math
def main():
print(team_city_math.add(2, 3))
if __name__ == "__main__":
main()
| 12.363636
| 35
| 0.691176
| 21
| 136
| 3.904762
| 0.666667
| 0.195122
| 0.292683
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.018182
| 0.191176
| 136
| 10
| 36
| 13.6
| 0.727273
| 0
| 0
| 0
| 0
| 0
| 0.058824
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.142857
| true
| 0
| 0.428571
| 0
| 0.571429
| 0.142857
| 1
| 0
| 0
| null | 0
| 1
| 0
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
eafc3ed56673f8c4f2304a6e8ba663a653f8d1d8
| 49
|
py
|
Python
|
specreduce/utils/__init__.py
|
duytnguyendtn/specreduce
|
7b4235796852041426b7279b21217df287553225
|
[
"BSD-3-Clause"
] | null | null | null |
specreduce/utils/__init__.py
|
duytnguyendtn/specreduce
|
7b4235796852041426b7279b21217df287553225
|
[
"BSD-3-Clause"
] | null | null | null |
specreduce/utils/__init__.py
|
duytnguyendtn/specreduce
|
7b4235796852041426b7279b21217df287553225
|
[
"BSD-3-Clause"
] | null | null | null |
"""
General purpose utilities for specreduce
"""
| 12.25
| 40
| 0.734694
| 5
| 49
| 7.2
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 49
| 3
| 41
| 16.333333
| 0.857143
| 0.816327
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
d83b0a176c74ffa7c757537f2bb5c5945644bfbd
| 170
|
py
|
Python
|
vedastr/models/bodies/sequences/transformer/unit/registry.py
|
csmasters/vedastr
|
7513384ab503f15dc574c7d92b75ff2092354757
|
[
"Apache-2.0"
] | 475
|
2020-03-17T01:46:32.000Z
|
2022-03-29T23:30:15.000Z
|
vedastr/models/bodies/sequences/transformer/unit/registry.py
|
csmasters/vedastr
|
7513384ab503f15dc574c7d92b75ff2092354757
|
[
"Apache-2.0"
] | 71
|
2020-04-01T04:17:47.000Z
|
2021-11-18T06:55:14.000Z
|
vedastr/models/bodies/sequences/transformer/unit/registry.py
|
csmasters/vedastr
|
7513384ab503f15dc574c7d92b75ff2092354757
|
[
"Apache-2.0"
] | 108
|
2020-02-21T10:30:37.000Z
|
2022-03-21T12:03:30.000Z
|
from vedastr.utils import Registry
TRANSFORMER_ENCODER_LAYERS = Registry('transformer_encoder_layer')
TRANSFORMER_DECODER_LAYERS = Registry('transformer_decoder_layer')
| 34
| 66
| 0.870588
| 19
| 170
| 7.368421
| 0.526316
| 0.407143
| 0.371429
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.064706
| 170
| 4
| 67
| 42.5
| 0.880503
| 0
| 0
| 0
| 0
| 0
| 0.294118
| 0.294118
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 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
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
dc25fdfc40a7f52eca66494aa6b68ba8eb801bf0
| 66
|
py
|
Python
|
Stream Tool/Resources/Scripts/RoAUpdateScores.py
|
Ateozc/RoA-Stream-Tool
|
c2e90d8ac2a6b2604016e11c6bd9210b37f39aa8
|
[
"MIT"
] | null | null | null |
Stream Tool/Resources/Scripts/RoAUpdateScores.py
|
Ateozc/RoA-Stream-Tool
|
c2e90d8ac2a6b2604016e11c6bd9210b37f39aa8
|
[
"MIT"
] | null | null | null |
Stream Tool/Resources/Scripts/RoAUpdateScores.py
|
Ateozc/RoA-Stream-Tool
|
c2e90d8ac2a6b2604016e11c6bd9210b37f39aa8
|
[
"MIT"
] | null | null | null |
from RoAScripts import *
update_scores(sys.argv[1], sys.argv[2])
| 16.5
| 39
| 0.742424
| 11
| 66
| 4.363636
| 0.818182
| 0.291667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.033898
| 0.106061
| 66
| 4
| 39
| 16.5
| 0.779661
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 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
| 0
| 0
| 0
|
0
| 5
|
dc31152df60be3b996e61e5c06ba9b836258dc51
| 363
|
py
|
Python
|
account_check/wizard/__init__.py
|
odoo-mastercore/odoo-argentina
|
58cdfe8610bae42f69ddb9d652a28eb3245f6a04
|
[
"MIT"
] | 1
|
2021-01-25T15:57:58.000Z
|
2021-01-25T15:57:58.000Z
|
account_check/wizard/__init__.py
|
odoo-mastercore/odoo-argentina
|
58cdfe8610bae42f69ddb9d652a28eb3245f6a04
|
[
"MIT"
] | null | null | null |
account_check/wizard/__init__.py
|
odoo-mastercore/odoo-argentina
|
58cdfe8610bae42f69ddb9d652a28eb3245f6a04
|
[
"MIT"
] | 2
|
2020-10-17T16:36:02.000Z
|
2021-01-24T10:20:05.000Z
|
##############################################################################
# For copyright and license notices, see __manifest__.py file in module root
# directory
##############################################################################
from . import account_check_action_wizard
from . import print_pre_numbered_checks
from . import res_config_settings
| 45.375
| 78
| 0.473829
| 30
| 363
| 5.333333
| 0.866667
| 0.1875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.077135
| 363
| 7
| 79
| 51.857143
| 0.477612
| 0.231405
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0.333333
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
dcb0409ca9c88b4f26f4e26b2d3552f7099ac68d
| 395
|
py
|
Python
|
CPT/format.py
|
Grosse-pasteque/CPT
|
3e3588617a7c058361546844a2c35913b0bcf7ed
|
[
"MIT"
] | 1
|
2021-06-30T19:54:31.000Z
|
2021-06-30T19:54:31.000Z
|
CPT/format.py
|
Grosse-pasteque/CPT
|
3e3588617a7c058361546844a2c35913b0bcf7ed
|
[
"MIT"
] | null | null | null |
CPT/format.py
|
Grosse-pasteque/CPT
|
3e3588617a7c058361546844a2c35913b0bcf7ed
|
[
"MIT"
] | 1
|
2021-07-20T07:33:20.000Z
|
2021-07-20T07:33:20.000Z
|
from colorama import Fore
def console(text, config, status):
if config['return_only_value']:
return text
def text_format(text):
return str(text).replace('\n', f"{Fore.RESET}\n{config['console']['start']}{config['colors'][status]}")
return f"{config['console']['start']}{config['colors'][status]}{text_format(text)}{Fore.RESET}{config['console']['end']}{config['console']['line_sep']}"
| 39.5
| 153
| 0.691139
| 55
| 395
| 4.872727
| 0.436364
| 0.19403
| 0.104478
| 0.179104
| 0.268657
| 0.268657
| 0
| 0
| 0
| 0
| 0
| 0
| 0.073418
| 395
| 10
| 153
| 39.5
| 0.73224
| 0
| 0
| 0
| 0
| 0.142857
| 0.578283
| 0.530303
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| false
| 0
| 0.142857
| 0.142857
| 0.857143
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
f492805777e51bd77c19fae4e0678169bb2b3d42
| 185
|
py
|
Python
|
mitm/core/__init__.py
|
alvarogzp/man-in-the-middle
|
82b645872582477cda21e3e8e62d61ba18e91282
|
[
"Apache-2.0"
] | 4
|
2017-09-19T15:21:30.000Z
|
2022-03-21T14:19:13.000Z
|
mitm/core/__init__.py
|
alvarogzp/man-in-the-middle
|
82b645872582477cda21e3e8e62d61ba18e91282
|
[
"Apache-2.0"
] | 1
|
2017-09-11T08:52:19.000Z
|
2017-09-11T08:52:19.000Z
|
mitm/core/__init__.py
|
alvarogzp/man-in-the-middle
|
82b645872582477cda21e3e8e62d61ba18e91282
|
[
"Apache-2.0"
] | null | null | null |
from mitm.core.request_handler.base import BaseMitmRequestHandler
from mitm.core.request_handler.with_destination import set_destination_endpoint, BaseWithDestinationMitmRequestHandler
| 61.666667
| 118
| 0.913514
| 20
| 185
| 8.2
| 0.65
| 0.097561
| 0.146341
| 0.231707
| 0.317073
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.048649
| 185
| 2
| 119
| 92.5
| 0.931818
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 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
| 0
| 0
|
0
| 5
|
f4dd9fea73cf8daad855913e16230d4c7c89c1ec
| 88
|
py
|
Python
|
ontology/logistic_regression/sherlock/listify_circuits_k18_reverse.py
|
ehbeam/neuro-knowledge-engine
|
9dc56ade0bbbd8d14f0660774f787c3f46d7e632
|
[
"MIT"
] | 15
|
2020-07-17T07:10:26.000Z
|
2022-02-18T05:51:45.000Z
|
ontology/neural_network/sherlock/listify_circuits_k18_reverse.py
|
YifeiCAO/neuro-knowledge-engine
|
9dc56ade0bbbd8d14f0660774f787c3f46d7e632
|
[
"MIT"
] | 2
|
2022-01-14T09:10:12.000Z
|
2022-01-28T17:32:42.000Z
|
ontology/neural_network/sherlock/listify_circuits_k18_reverse.py
|
YifeiCAO/neuro-knowledge-engine
|
9dc56ade0bbbd8d14f0660774f787c3f46d7e632
|
[
"MIT"
] | 4
|
2021-12-22T13:27:32.000Z
|
2022-02-18T05:51:47.000Z
|
#!/bin/python
import listify_circuits
listify_circuits.optimize_circuits(18, 'reverse')
| 22
| 49
| 0.829545
| 11
| 88
| 6.363636
| 0.727273
| 0.428571
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.024096
| 0.056818
| 88
| 4
| 49
| 22
| 0.819277
| 0.136364
| 0
| 0
| 0
| 0
| 0.092105
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 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
| 0
| 0
| 0
|
0
| 5
|
7617b941b39dfbfdc86e9bb06d28eb21625cc0ec
| 164
|
py
|
Python
|
moto/elbv2/urls.py
|
gtourkas/moto
|
307104417b579d23d02f670ff55217a2d4a16bee
|
[
"Apache-2.0"
] | 5,460
|
2015-01-01T01:11:17.000Z
|
2022-03-31T23:45:38.000Z
|
moto/elbv2/urls.py
|
gtourkas/moto
|
307104417b579d23d02f670ff55217a2d4a16bee
|
[
"Apache-2.0"
] | 4,475
|
2015-01-05T19:37:30.000Z
|
2022-03-31T13:55:12.000Z
|
moto/elbv2/urls.py
|
gtourkas/moto
|
307104417b579d23d02f670ff55217a2d4a16bee
|
[
"Apache-2.0"
] | 1,831
|
2015-01-14T00:00:44.000Z
|
2022-03-31T20:30:04.000Z
|
from ..elb.urls import api_version_elb_backend
url_bases = [r"https?://elasticloadbalancing\.(.+)\.amazonaws.com"]
url_paths = {"{0}/$": api_version_elb_backend}
| 27.333333
| 67
| 0.731707
| 22
| 164
| 5.090909
| 0.727273
| 0.178571
| 0.232143
| 0.357143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.006623
| 0.079268
| 164
| 5
| 68
| 32.8
| 0.735099
| 0
| 0
| 0
| 0
| 0
| 0.335366
| 0.304878
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 0
| 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
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
762885c9976ddb30ace13aee3b4667c8fc4f5962
| 78
|
py
|
Python
|
bandit/__init__.py
|
mremes/bandit-simulation
|
1167d059bf7c67a5b5e0a1c33d340edddc721b5e
|
[
"MIT"
] | null | null | null |
bandit/__init__.py
|
mremes/bandit-simulation
|
1167d059bf7c67a5b5e0a1c33d340edddc721b5e
|
[
"MIT"
] | null | null | null |
bandit/__init__.py
|
mremes/bandit-simulation
|
1167d059bf7c67a5b5e0a1c33d340edddc721b5e
|
[
"MIT"
] | null | null | null |
from .agent import Agent
from .reward import NormallyDistributedRandomRewards
| 26
| 52
| 0.871795
| 8
| 78
| 8.5
| 0.625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.102564
| 78
| 2
| 53
| 39
| 0.971429
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
762f707ad0f82b1bed45c93db1dc73e16b7f9aba
| 130
|
py
|
Python
|
src/test/break_int3.py
|
jalapenopuzzle/rr
|
6f8b3c73868d9fd3e6ac14a1322b92dbe9958807
|
[
"BSD-1-Clause"
] | 5,156
|
2015-01-01T06:10:28.000Z
|
2020-11-13T15:12:34.000Z
|
src/test/break_int3.py
|
jalapenopuzzle/rr
|
6f8b3c73868d9fd3e6ac14a1322b92dbe9958807
|
[
"BSD-1-Clause"
] | 1,214
|
2015-01-02T02:32:13.000Z
|
2020-11-09T04:36:26.000Z
|
src/test/break_int3.py
|
jalapenopuzzle/rr
|
6f8b3c73868d9fd3e6ac14a1322b92dbe9958807
|
[
"BSD-1-Clause"
] | 402
|
2015-01-13T22:54:32.000Z
|
2020-11-05T15:02:25.000Z
|
from util import *
send_gdb('b int3.c:6')
expect_gdb('Breakpoint 1')
send_gdb('c')
expect_gdb('Breakpoint 1, breakpoint')
ok()
| 13
| 38
| 0.707692
| 22
| 130
| 4
| 0.590909
| 0.159091
| 0.431818
| 0.454545
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.035088
| 0.123077
| 130
| 9
| 39
| 14.444444
| 0.736842
| 0
| 0
| 0
| 0
| 0
| 0.361538
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.166667
| 0
| 0.166667
| 0
| 1
| 0
| 0
| null | 0
| 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
| 0
| 0
| 0
| 0
|
0
| 5
|
52091da1f95350e4f7788e6c763431a9214abcf6
| 3,351
|
py
|
Python
|
dojo/unittests/tools/test_gitlab_sast_parser.py
|
axelpavageau/django-DefectDojo
|
00b425742b783ada0f432241c2812ac1257feb73
|
[
"BSD-3-Clause"
] | 1
|
2021-07-26T21:12:01.000Z
|
2021-07-26T21:12:01.000Z
|
dojo/unittests/tools/test_gitlab_sast_parser.py
|
axelpavageau/django-DefectDojo
|
00b425742b783ada0f432241c2812ac1257feb73
|
[
"BSD-3-Clause"
] | 562
|
2019-06-21T18:44:38.000Z
|
2022-03-28T18:09:08.000Z
|
dojo/unittests/tools/test_gitlab_sast_parser.py
|
axelpavageau/django-DefectDojo
|
00b425742b783ada0f432241c2812ac1257feb73
|
[
"BSD-3-Clause"
] | 2
|
2021-09-16T18:30:17.000Z
|
2021-09-17T00:46:38.000Z
|
from django.test import TestCase
from dojo.tools.gitlab_sast.parser import GitlabSastParser
from dojo.models import Test
class TestGitlabSastParser(TestCase):
def test_parse_file_with_no_vuln_has_no_findings(self):
testfile = open("dojo/unittests/scans/gitlab_sast/gl-sast-report-0-vuln.json")
parser = GitlabSastParser()
findings = parser.get_findings(testfile, Test())
self.assertEqual(0, len(findings))
def test_parse_file_with_one_vuln_has_one_finding(self):
testfile = open("dojo/unittests/scans/gitlab_sast/gl-sast-report-1-vuln.json")
parser = GitlabSastParser()
findings = parser.get_findings(testfile, Test())
self.assertEqual(1, len(findings))
finding = findings[0]
self.assertEqual("Password in URL", finding.title)
self.assertEqual("Critical", finding.severity)
def test_parse_file_with_multiple_vuln_has_multiple_findings(self):
testfile = open(
"dojo/unittests/scans/gitlab_sast/gl-sast-report-many-vuln.json"
)
parser = GitlabSastParser()
findings = parser.get_findings(testfile, Test())
self.assertTrue(3, len(findings))
finding = findings[0]
self.assertEqual("Password in URL", finding.title)
self.assertEqual("Critical", finding.severity)
finding = findings[1]
self.assertEqual("Password in URL", finding.title)
self.assertEqual("Critical", finding.severity)
finding = findings[2]
self.assertEqual("PKCS8 key", finding.title)
self.assertEqual("Critical", finding.severity)
def test_parse_file_with_various_confidences(self):
testfile = open(
"dojo/unittests/scans/gitlab_sast/gl-sast-report-confidence.json"
)
parser = GitlabSastParser()
findings = parser.get_findings(testfile, Test())
self.assertTrue(len(findings) == 8)
for item in findings:
self.assertTrue(item.cwe is None or isinstance(item.cwe, int))
finding = findings[3]
self.assertEqual("Tentative", finding.get_scanner_confidence_text())
finding = findings[4]
self.assertEqual("Tentative", finding.get_scanner_confidence_text())
finding = findings[5]
self.assertEqual("Firm", finding.get_scanner_confidence_text())
finding = findings[6]
self.assertEqual("Firm", finding.get_scanner_confidence_text())
finding = findings[7]
self.assertEqual("Certain", finding.get_scanner_confidence_text())
def test_parse_file_with_various_cwes(self):
testfile = open("dojo/unittests/scans/gitlab_sast/gl-sast-report-cwe.json")
parser = GitlabSastParser()
findings = parser.get_findings(testfile, Test())
self.assertTrue(len(findings) == 3)
self.assertEqual(79, findings[0].cwe)
self.assertEqual(89, findings[1].cwe)
self.assertEqual(None, findings[2].cwe)
def test_parse_file_issue4336(self):
testfile = open("dojo/unittests/scans/gitlab_sast/gl-sast-report_issue4344.json")
parser = GitlabSastParser()
findings = parser.get_findings(testfile, Test())
self.assertEqual(1, len(findings))
finding = findings[0]
self.assertEqual("[None severity] Potential XSS vulnerability", finding.title)
| 44.092105
| 89
| 0.682781
| 388
| 3,351
| 5.726804
| 0.203608
| 0.135014
| 0.032403
| 0.043204
| 0.755176
| 0.723222
| 0.707921
| 0.707921
| 0.707921
| 0.707921
| 0
| 0.012772
| 0.20561
| 3,351
| 75
| 90
| 44.68
| 0.821938
| 0
| 0
| 0.447761
| 0
| 0
| 0.156073
| 0.107729
| 0
| 0
| 0
| 0
| 0.358209
| 1
| 0.089552
| false
| 0.044776
| 0.044776
| 0
| 0.149254
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 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
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
5213265a7b0f61a62df6364c00660b37cf1226ec
| 42
|
py
|
Python
|
tests/components/mutesync/__init__.py
|
MrDelik/core
|
93a66cc357b226389967668441000498a10453bb
|
[
"Apache-2.0"
] | 30,023
|
2016-04-13T10:17:53.000Z
|
2020-03-02T12:56:31.000Z
|
tests/components/mutesync/__init__.py
|
jagadeeshvenkatesh/core
|
1bd982668449815fee2105478569f8e4b5670add
|
[
"Apache-2.0"
] | 31,101
|
2020-03-02T13:00:16.000Z
|
2022-03-31T23:57:36.000Z
|
tests/components/mutesync/__init__.py
|
jagadeeshvenkatesh/core
|
1bd982668449815fee2105478569f8e4b5670add
|
[
"Apache-2.0"
] | 11,956
|
2016-04-13T18:42:31.000Z
|
2020-03-02T09:32:12.000Z
|
"""Tests for the mütesync integration."""
| 21
| 41
| 0.714286
| 5
| 42
| 6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.119048
| 42
| 1
| 42
| 42
| 0.810811
| 0.833333
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
525c175f06dc3889c663c3e4b4c36d57d56544ab
| 3,942
|
py
|
Python
|
find_shortest_path.py
|
tjbruce19/codewars
|
ecc22421916d88589635d8781400acbd71c53c01
|
[
"Apache-2.0"
] | null | null | null |
find_shortest_path.py
|
tjbruce19/codewars
|
ecc22421916d88589635d8781400acbd71c53c01
|
[
"Apache-2.0"
] | null | null | null |
find_shortest_path.py
|
tjbruce19/codewars
|
ecc22421916d88589635d8781400acbd71c53c01
|
[
"Apache-2.0"
] | null | null | null |
import time
def get_next_node(grid, path, min_path, end_node,pre_move=None):
cur_node = path[-1]
if cur_node is end_node:
return min_path,path[:-1]
if cur_node.position.x != end_node.position.x:
right_node = grid[cur_node.position.x + 1][cur_node.position.y]
path.append(right_node)
# print("right_node:")
# print(right_node)
# print(path)
# print("--------------------")
if min_path != [] and len(min_path) <= len(path):
return min_path, path[:-1]
else:
if right_node is end_node:
if min_path == []:
min_path = path
else:
min_path = min_path if len(min_path) <= len(path) else path
return min_path, path[:-1]
else:
if right_node.passable is True:
min_path, path = get_next_node(grid,path,min_path,end_node)
path = path[:-1]
if cur_node.position.y != end_node.position.y and pre_move != "up":
down_node = grid[cur_node.position.x][cur_node.position.y + 1]
path.append(down_node)
# print("down_node:")
# print(down_node)
# print(path)
# print("--------------------")
if min_path != [] and len(min_path) <= len(path):
return min_path, path[:-1]
else:
if down_node is end_node:
# print(123123)
if min_path == []:
min_path = path
else:
min_path = min_path if len(min_path) <= len(path) else path
return min_path,path[:-1]
else:
if down_node.passable is True:
min_path, path = get_next_node(grid,path,min_path,end_node,pre_move = "down")
path = path[:-1]
# if cur_node.position.x != 0:
# left_node = grid[cur_node.position.x - 1][cur_node.position.y]
# path.append(left_node)
# # print("left_node:")
# # print(left_node)
# # print(path)
# # print("--------------------")
# if min_path != [] and len(min_path) <= len(path):
# return min_path, path[:-1]
# else:
# if left_node is end_node:
# if min_path == []:
# min_path = path
# else:
# min_path = min_path if len(min_path) <= len(path) else path
# return min_path, path[:-1]
# else:
# if left_node.passable is True and not path[:-1].__contains__(left_node):
# min_path, path = get_next_node(grid,path,min_path,end_node)
# path = path[:-1]
if cur_node.position.y != 0 and pre_move != "down":
up_node = grid[cur_node.position.x][cur_node.position.y - 1]
path.append(up_node)
# print("up_node:")
# print(up_node)
# print(path)
# print("--------------------")
if min_path != [] and len(min_path) <= len(path):
return min_path, path[:-1]
else:
if up_node is end_node:
if min_path == []:
min_path = path
else:
min_path = min_path if len(min_path) <= len(path) else path
return min_path, path[:-1]
else:
if up_node.passable is True:
min_path,path = get_next_node(grid,path,min_path,end_node,pre_move = "up")
path = path[:-1]
return min_path,path
def find_shortest_path(grid, start_node, end_node):
# print(grid)
# print(start_node)
# print(end_node)
cur_path = [start_node]
min_path = []
pre_move = None
if start_node is None or end_node is None:
return []
else:
min_path,path = get_next_node(grid, cur_path,min_path,end_node,pre_move)
return min_path
| 39.818182
| 97
| 0.509386
| 511
| 3,942
| 3.661448
| 0.078278
| 0.190807
| 0.111705
| 0.090861
| 0.803848
| 0.791555
| 0.729022
| 0.701764
| 0.672902
| 0.672902
| 0
| 0.010638
| 0.356164
| 3,942
| 99
| 98
| 39.818182
| 0.726556
| 0.265094
| 0
| 0.507937
| 0
| 0
| 0.0042
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.031746
| false
| 0.047619
| 0.015873
| 0
| 0.206349
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 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
| 5
|
5285401a494222004db84f3a011339ac586ff970
| 3,409
|
py
|
Python
|
configs/defect/cascade_rcnn_x101_64x4d_fpn_20e_coco.py
|
zwqnju/mmdetection
|
40dff5ac0fb9d3edd37f777b6e871b9587722457
|
[
"Apache-2.0"
] | null | null | null |
configs/defect/cascade_rcnn_x101_64x4d_fpn_20e_coco.py
|
zwqnju/mmdetection
|
40dff5ac0fb9d3edd37f777b6e871b9587722457
|
[
"Apache-2.0"
] | null | null | null |
configs/defect/cascade_rcnn_x101_64x4d_fpn_20e_coco.py
|
zwqnju/mmdetection
|
40dff5ac0fb9d3edd37f777b6e871b9587722457
|
[
"Apache-2.0"
] | null | null | null |
_base_ = [
'../cascade_rcnn/cascade_rcnn_x101_64x4d_fpn_20e_coco.py'
]
dataset_type = 'DefectDataset'
classes = (
"边异常",
"角异常",
"白色点瑕疵",
"浅色块瑕疵",
"深色点块瑕疵",
"光圈瑕疵"
)
data_root = '/media/samba/weiqiang/Datasets/dataset/'
data = dict(
samples_per_gpu=2,
workers_per_gpu=2,
train=dict(
type=dataset_type,
classes=classes,
data_root=data_root + 'tile_round1_train_20201231/',
ann_file=data_root + 'tile_round1_train_20201231/train_annos.json',
img_prefix=data_root + 'tile_round1_train_20201231/train_imgs/',
),
val=dict(
type=dataset_type,
classes=classes,
data_root=data_root + 'tile_round1_train_20201231/',
ann_file=data_root + 'tile_round1_train_20201231/train_annos.json',
img_prefix=data_root + 'tile_round1_train_20201231/train_imgs/',
),
test=dict(
type=dataset_type,
classes=classes,
data_root=data_root + 'tile_round1_testA_20201231/',
ann_file=None,
img_prefix=data_root + 'tile_round1_testA_20201231/testA_imgs/',
),
)
model = dict(
roi_head=dict(
bbox_head=[
dict(
type='Shared2FCBBoxHead',
in_channels=256,
fc_out_channels=1024,
roi_feat_size=7,
num_classes=6,
bbox_coder=dict(
type='DeltaXYWHBBoxCoder',
target_means=[0.0, 0.0, 0.0, 0.0],
target_stds=[0.1, 0.1, 0.2, 0.2]),
reg_class_agnostic=True,
loss_cls=dict(
type='CrossEntropyLoss',
use_sigmoid=False,
loss_weight=1.0),
loss_bbox=dict(type='SmoothL1Loss', beta=1.0,
loss_weight=1.0)),
dict(
type='Shared2FCBBoxHead',
in_channels=256,
fc_out_channels=1024,
roi_feat_size=7,
num_classes=6,
bbox_coder=dict(
type='DeltaXYWHBBoxCoder',
target_means=[0.0, 0.0, 0.0, 0.0],
target_stds=[0.05, 0.05, 0.1, 0.1]),
reg_class_agnostic=True,
loss_cls=dict(
type='CrossEntropyLoss',
use_sigmoid=False,
loss_weight=1.0),
loss_bbox=dict(type='SmoothL1Loss', beta=1.0,
loss_weight=1.0)),
dict(
type='Shared2FCBBoxHead',
in_channels=256,
fc_out_channels=1024,
roi_feat_size=7,
num_classes=6,
bbox_coder=dict(
type='DeltaXYWHBBoxCoder',
target_means=[0.0, 0.0, 0.0, 0.0],
target_stds=[0.033, 0.033, 0.067, 0.067]),
reg_class_agnostic=True,
loss_cls=dict(
type='CrossEntropyLoss',
use_sigmoid=False,
loss_weight=1.0),
loss_bbox=dict(type='SmoothL1Loss', beta=1.0, loss_weight=1.0))
]
)
)
optimizer = dict(
lr=0.02/4,
)
evaluation = dict(
metric='mAP',
)
load_from = 'checkpoints/cascade_mask_rcnn_x101_64x4d_fpn_20e_coco_20200512_161033-bdb5126a.pth'
| 32.160377
| 96
| 0.520681
| 380
| 3,409
| 4.344737
| 0.263158
| 0.025439
| 0.032707
| 0.036342
| 0.79043
| 0.79043
| 0.730466
| 0.730466
| 0.730466
| 0.730466
| 0
| 0.103223
| 0.371957
| 3,409
| 106
| 96
| 32.160377
| 0.667912
| 0
| 0
| 0.60396
| 0
| 0
| 0.20176
| 0.134018
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 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
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
87137c9d0c9321a8df4dcd89c9de316439447dde
| 38
|
py
|
Python
|
Hola.py
|
JoshuaRoy/3240-labdemo
|
089093048a09dc3420cfcab0558564cdeb0b5e56
|
[
"MIT"
] | null | null | null |
Hola.py
|
JoshuaRoy/3240-labdemo
|
089093048a09dc3420cfcab0558564cdeb0b5e56
|
[
"MIT"
] | null | null | null |
Hola.py
|
JoshuaRoy/3240-labdemo
|
089093048a09dc3420cfcab0558564cdeb0b5e56
|
[
"MIT"
] | null | null | null |
import helper
helper.greeting("Hola!")
| 19
| 24
| 0.789474
| 5
| 38
| 6
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.052632
| 38
| 2
| 24
| 19
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0.128205
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 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
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
871c5ff5bb4a0f07ffed44c13457676d4a54ce92
| 78
|
py
|
Python
|
train.py
|
DrazenDodik/vh_execution_onpush
|
70bd309aa1e2da2603acd3a908ea557547dd2991
|
[
"MIT"
] | null | null | null |
train.py
|
DrazenDodik/vh_execution_onpush
|
70bd309aa1e2da2603acd3a908ea557547dd2991
|
[
"MIT"
] | null | null | null |
train.py
|
DrazenDodik/vh_execution_onpush
|
70bd309aa1e2da2603acd3a908ea557547dd2991
|
[
"MIT"
] | null | null | null |
import os
import argparse
print("Updated train.py!")
print("Testing changes")
| 15.6
| 26
| 0.769231
| 11
| 78
| 5.454545
| 0.818182
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.102564
| 78
| 5
| 27
| 15.6
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0.405063
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0.5
| 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
| 0
| 1
| 0
| 1
| 0
| 0
| 1
|
0
| 5
|
874af8fec1ca589c89370f28ec5f91344b92e3ad
| 157
|
py
|
Python
|
reservations/exceptions.py
|
kkarolis/cct-subsilocus
|
b2fd38a184550203410aa29248a6e5d6160acc19
|
[
"MIT"
] | 1
|
2020-03-04T18:23:30.000Z
|
2020-03-04T18:23:30.000Z
|
reservations/exceptions.py
|
kkarolis/cct-subsilocus
|
b2fd38a184550203410aa29248a6e5d6160acc19
|
[
"MIT"
] | 5
|
2021-03-18T23:45:40.000Z
|
2021-06-10T18:27:09.000Z
|
reservations/exceptions.py
|
kkarolis/cct-subsilocus
|
b2fd38a184550203410aa29248a6e5d6160acc19
|
[
"MIT"
] | null | null | null |
from django.core.exceptions import ValidationError
class ReservationException(ValidationError):
"""General exception raised by apps business logic."""
| 26.166667
| 58
| 0.802548
| 16
| 157
| 7.875
| 0.9375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.121019
| 157
| 5
| 59
| 31.4
| 0.913043
| 0.305732
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
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