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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
c928ca3a7ac395bf42c3ba3eb48b8ebf2a3d0c3c | 247 | py | Python | pylibs/pycurses_widgets/__init__.py | Vaporbook/vaxdata | 0313828294f539fc103ee1d1657245319b533f6d | [
"MIT"
] | null | null | null | pylibs/pycurses_widgets/__init__.py | Vaporbook/vaxdata | 0313828294f539fc103ee1d1657245319b533f6d | [
"MIT"
] | null | null | null | pylibs/pycurses_widgets/__init__.py | Vaporbook/vaxdata | 0313828294f539fc103ee1d1657245319b533f6d | [
"MIT"
] | null | null | null | from .screen import Screen
from .statusbar import StatusBar
from .commandbar import CommandBar
from .titlebar import TitleBar
from .panel import Panel
from .textpanel import TextPanel
from .itemlist import ItemList
from .tabpanel import TabPanel
| 24.7 | 34 | 0.834008 | 32 | 247 | 6.4375 | 0.3125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.133603 | 247 | 9 | 35 | 27.444444 | 0.962617 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 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 | 4 |
c92e1675713357d0a10233b49d1f365e4c7a3275 | 301 | py | Python | scripts/mysite/secrets.py | wowwh/SI664-scripts | 7181b8184dd2cbdb6f7bcb80a851f17a81a0b547 | [
"MIT"
] | null | null | null | scripts/mysite/secrets.py | wowwh/SI664-scripts | 7181b8184dd2cbdb6f7bcb80a851f17a81a0b547 | [
"MIT"
] | null | null | null | scripts/mysite/secrets.py | wowwh/SI664-scripts | 7181b8184dd2cbdb6f7bcb80a851f17a81a0b547 | [
"MIT"
] | null | null | null | # SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = 'ov_sbg)(^$8&eqe8&urmu(^#(slcloca=mt0^gol6=n+jbm@va'
SOCIAL_AUTH_GOOGLE_OAUTH2_KEY = '151349406761-dpqoglajnvc3njl4pnc38fm7oif6m8kf.apps.googleusercontent.com'
SOCIAL_AUTH_GOOGLE_OAUTH2_SECRET = 'VVgvnVziIn5YxTvVsOqVhdx4' | 75.25 | 106 | 0.833887 | 39 | 301 | 6.179487 | 0.769231 | 0.074689 | 0.13278 | 0.182573 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.095745 | 0.063123 | 301 | 4 | 107 | 75.25 | 0.758865 | 0.212625 | 0 | 0 | 0 | 0 | 0.618644 | 0.618644 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
c9653ef0f66ac2158854e2e51b1161d3c0ceaf83 | 85 | py | Python | tests/settings/tests.py | intellineers/django-bridger | ed097984a99df7da40a4d01bd00c56e3c6083056 | [
"BSD-3-Clause"
] | 2 | 2020-03-17T00:53:23.000Z | 2020-07-16T07:00:33.000Z | tests/settings/tests.py | intellineers/django-bridger | ed097984a99df7da40a4d01bd00c56e3c6083056 | [
"BSD-3-Clause"
] | 76 | 2019-12-05T01:15:57.000Z | 2021-09-07T16:47:27.000Z | tests/settings/tests.py | intellineers/django-bridger | ed097984a99df7da40a4d01bd00c56e3c6083056 | [
"BSD-3-Clause"
] | 1 | 2020-02-05T15:09:47.000Z | 2020-02-05T15:09:47.000Z | from .base import *
EMAIL_BACKEND = "django.core.mail.backends.locmem.EmailBackend"
| 21.25 | 63 | 0.788235 | 11 | 85 | 6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.094118 | 85 | 3 | 64 | 28.333333 | 0.857143 | 0 | 0 | 0 | 0 | 0 | 0.529412 | 0.529412 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 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 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 4 |
a3120aa0b55407f101edf17b84bb9362b89b446b | 15,167 | py | Python | model/sketch.nyu/models/__init__.py | denyingmxd/Torchssc | 9080c8aadd15d6ae6f7698ba64c6c2bae7393a24 | [
"MIT"
] | null | null | null | model/sketch.nyu/models/__init__.py | denyingmxd/Torchssc | 9080c8aadd15d6ae6f7698ba64c6c2bae7393a24 | [
"MIT"
] | null | null | null | model/sketch.nyu/models/__init__.py | denyingmxd/Torchssc | 9080c8aadd15d6ae6f7698ba64c6c2bae7393a24 | [
"MIT"
] | null | null | null | from .network import Network
from .network_sobel import Network_sobel
from .network_no_cvae import Network_no_cvae
from .network_mapping import Network_mapping
from .network_tsdf_and_rgb_to_sketch import Network_tsdf_and_rgb_to_sketch
from .network_tsdf_and_rgb_to_sketch_explicit import Network_tsdf_and_rgb_to_sketch_explicit
from .network_tsdf_and_rgb_to_sketch_only_refine import Network_tsdf_and_rgb_to_sketch_only_refine
from .network_tsdf_and_rgb_to_sketch_explicit_explicit import Network_tsdf_and_rgb_to_sketch_explicit_explicit
from .network_tsdf_and_rgb_to_sketch_no_segres import Network_tsdf_and_rgb_to_sketch_no_segres
from .network_tsdf_and_rgb_to_sketch_early import Network_tsdf_and_rgb_to_sketch_early
from .network_tsdf_and_rgb_to_sketch_only_precision import Network_tsdf_and_rgb_to_sketch_only_precision
from .network_tsdf_and_rgb_to_sketch_late import Network_tsdf_and_rgb_to_sketch_late
from .network_tsdf_and_rgb_to_sketch_post_loss import Network_tsdf_and_rgb_to_sketch_post_loss
from .network_tsdf_and_rgb_to_sketch_explicit_post_loss import Network_tsdf_and_rgb_to_sketch_explicit_post_loss
from .network_unet import Network_unet
from .network_unet_predict_sketch import Network_unet_predict_sketch
from .network_baseline import Network_baseline
from .network_s0_post_sketch import Network_s0_post_sketch
from .network_s0_tsdf_to_sketch import Network_s0_tsdf_to_sketch
from .network_warp import Network_warp
from .network_tsdf import Network_tsdf
from .network_seg_2d import Network_seg_2d
from .network_s_0_late import Network_s_0_late
from .network_s_0_late_multi_supervision import Network_s_0_late_multi_supervision
from .network_s0_late_ac import Network_s0_late_ac
from .network_s0_late_gated import Network_s0_late_gated
from .network_s0_late_ac2 import Network_s0_late_ac2
from .network_s0_late_ac3 import Network_s0_late_ac3
from .network_s0_late_ac4 import Network_s0_late_ac4
from .network_s0_late_ac5 import Network_s0_late_ac5
from .network_s0_late_ac6 import Network_s0_late_ac6
from .network_s0_late_ac7 import Network_s0_late_ac7
from .network_s0_late_ac8 import Network_s0_late_ac8
from .network_s0_late_ac9 import Network_s0_late_ac9
from .network_s0_rgb import Network_s0_rgb
from .network_deeplabv3 import Network_deeplabv3
from .network_resnet50 import Network_resnet50
from config import config
import os
from shutil import copy
from .network_s0 import Network_s0
import torch.nn as nn
def make_model(norm_layer,modelname,eval):
if eval:
if norm_layer is None:
norm_layer = nn.BatchNorm3d
else:
print('norm layer here wrong')
exit()
if modelname == 'network2d':
net = Network(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer,eval=eval)
elif modelname == 'network_no_cvae':
net = Network_no_cvae(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
norm_layer=norm_layer,pretrained_model=config.pretrained_model, eval=eval)
elif modelname == 'network_sobel':
net = Network_sobel(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer, eval=eval)
elif modelname=='network_mapping':
net = Network_mapping(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer, eval=eval)
elif modelname=='network_tsdf_and_rgb_to_sketch':
net = Network_tsdf_and_rgb_to_sketch(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer, eval=eval)
elif modelname=='network_tsdf_and_rgb_to_sketch_explicit':
net= Network_tsdf_and_rgb_to_sketch_explicit(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer, eval=eval)
elif modelname=='network_tsdf_and_rgb_to_sketch_only_refine':
net = Network_tsdf_and_rgb_to_sketch_only_refine(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer, eval=eval)
elif modelname=='network_tsdf_and_rgb_to_sketch_explicit_explicit':
net = Network_tsdf_and_rgb_to_sketch_explicit_explicit(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer, eval=eval)
elif modelname=='network_tsdf_and_rgb_to_sketch_no_segres':
net = Network_tsdf_and_rgb_to_sketch_no_segres(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer, eval=eval)
elif modelname=='network_tsdf_and_rgb_to_sketch_only_precision':
net = Network_tsdf_and_rgb_to_sketch_only_precision(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer, eval=eval)
elif modelname=='network_tsdf_and_rgb_to_sketch_early':
net = Network_tsdf_and_rgb_to_sketch_early(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer, eval=eval)
elif modelname=='network_tsdf_and_rgb_to_sketch_late':
net = Network_tsdf_and_rgb_to_sketch_late(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer, eval=eval)
elif modelname=='network_tsdf_and_rgb_to_sketch_post_loss':
net = Network_tsdf_and_rgb_to_sketch_post_loss(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer, eval=eval)
elif modelname =='network_tsdf_and_rgb_to_sketch_explicit_post_loss':
net = Network_tsdf_and_rgb_to_sketch_explicit_post_loss(class_num=config.num_classes, feature=128,
bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer, eval=eval)
elif modelname=='network_unet':
net = Network_unet(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer, eval=eval)
elif modelname=='network_unet_predict_sketch':
net = Network_unet_predict_sketch(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer, eval=eval)
elif modelname=='network_baseline':
net = Network_baseline(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer, eval=eval)
elif modelname=='network_s0':
net = Network_s0(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer, eval=eval)
elif modelname=='network_s0_post_sketch':
net = Network_s0_post_sketch(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer, eval=eval)
elif modelname=='network_s0_tsdf_to_sketch':
net = Network_s0_tsdf_to_sketch(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer, eval=eval)
elif modelname=='network_warp':
net = Network_warp(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer, eval=eval)
elif modelname=='network_tsdf':
net = Network_tsdf(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer, eval=eval)
elif modelname=='network_seg_2d':
net = Network_seg_2d(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer, eval=eval)
elif modelname=='network_s_0_late':
net = Network_s_0_late(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer, eval=eval)
elif modelname=='network_s_0_late_multi_supervision':
net = Network_s_0_late_multi_supervision(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer, eval=eval)
elif modelname=='network_s0_late_ac':
net = Network_s0_late_ac(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer, eval=eval)
elif modelname=='network_s0_late_gated':
net = Network_s0_late_gated(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer, eval=eval)
elif modelname=='network_s0_late_ac2':
net = Network_s0_late_ac2(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer, eval=eval)
elif modelname=='network_s0_late_ac3':
net = Network_s0_late_ac3(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer, eval=eval)
elif modelname=='network_s0_late_ac4':
net = Network_s0_late_ac4(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer, eval=eval)
elif modelname=='network_s0_late_ac5':
net = Network_s0_late_ac5(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer, eval=eval)
elif modelname=='network_s0_late_ac6':
net = Network_s0_late_ac6(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer, eval=eval)
elif modelname=='network_s0_late_ac7':
net = Network_s0_late_ac7(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer, eval=eval)
elif modelname=='network_s0_late_ac8':
net = Network_s0_late_ac8(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer, eval=eval)
elif modelname=='network_s0_late_ac9':
net = Network_s0_late_ac9(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer, eval=eval)
elif modelname=='network_s0_rgb':
net = Network_s0_rgb(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer, eval=eval)
elif modelname=='network_deeplabv3':
return Network_deeplabv3(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer, eval=eval)
elif modelname=='network_resnet50':
return Network_resnet50(class_num=config.num_classes, feature=128, bn_momentum=config.bn_momentum,
pretrained_model=config.pretrained_model,
norm_layer=norm_layer, eval=eval)
else:
net = None
print('no such model')
exit()
name = type(net).__name__
assert name.lower()==modelname
return net
__all__ = ["make_model"] | 59.478431 | 137 | 0.645019 | 1,793 | 15,167 | 4.991634 | 0.047407 | 0.080447 | 0.06257 | 0.075978 | 0.795196 | 0.773743 | 0.762235 | 0.728603 | 0.674749 | 0.633073 | 0 | 0.02132 | 0.294917 | 15,167 | 255 | 138 | 59.478431 | 0.815598 | 0 | 0 | 0.373206 | 0 | 0 | 0.061841 | 0.03514 | 0 | 0 | 0 | 0 | 0.004785 | 1 | 0.004785 | false | 0 | 0.200957 | 0 | 0.220096 | 0.009569 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 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 | 4 |
a3208ab8e465937ccf4b8e1e9b9c4c8aaf55a391 | 994 | py | Python | RE_To_NFA.py | PatrickLenis/FLAT_Project_2020 | d3bfe17504e58c63c6b094d72cb33721da8a8e8d | [
"MIT"
] | null | null | null | RE_To_NFA.py | PatrickLenis/FLAT_Project_2020 | d3bfe17504e58c63c6b094d72cb33721da8a8e8d | [
"MIT"
] | null | null | null | RE_To_NFA.py | PatrickLenis/FLAT_Project_2020 | d3bfe17504e58c63c6b094d72cb33721da8a8e8d | [
"MIT"
] | null | null | null | #Generates NFA links out of an AbstractSyntax
#Node component data type
class Node(object):
def __init__(self, type, data, next_r = None, next_l = None):
self.type = type
self.data = data
self.next_r = next_r
self.next_l = next_l
#Link to option a.
def get_next_r(self):
return self.next_r
def set_next_r(self, next_r):
self.next_r = next_r
# Link to option b.
def get_next_l(self):
return self.next_l
def set_next_l(self, next_l):
self.next_l = next_l
# Link to node data
def get_data(self):
return self.data
def set_data(self, data):
self.data = data
# Link to node type
def get_type(self):
return self.type
def set_type(self, type):
self.type = type
#NFA data type
class NFA_List(object):
def __init__(self, start = None, end = None):
self.start = start
self.end = end
| 22.590909 | 66 | 0.579477 | 149 | 994 | 3.630872 | 0.208054 | 0.083179 | 0.066543 | 0.072089 | 0.177449 | 0.073937 | 0.073937 | 0 | 0 | 0 | 0 | 0 | 0.337022 | 994 | 43 | 67 | 23.116279 | 0.820941 | 0.152918 | 0 | 0.307692 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.384615 | false | 0 | 0 | 0.153846 | 0.615385 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 4 |
a331254fc33b6b9f08a49fab84c49498289eb151 | 175 | py | Python | straxen/__init__.py | rynge/straxen | 7546177c8d79c8570e0c6e005c5ffdd6eb4c54f6 | [
"BSD-3-Clause"
] | null | null | null | straxen/__init__.py | rynge/straxen | 7546177c8d79c8570e0c6e005c5ffdd6eb4c54f6 | [
"BSD-3-Clause"
] | null | null | null | straxen/__init__.py | rynge/straxen | 7546177c8d79c8570e0c6e005c5ffdd6eb4c54f6 | [
"BSD-3-Clause"
] | null | null | null | __version__ = '0.2.0'
from .utils import *
from .common import *
from .itp_map import InterpolatingMap
from .rundb import RunDB
from . import plugins
from .contexts import * | 19.444444 | 37 | 0.76 | 25 | 175 | 5.12 | 0.52 | 0.15625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020408 | 0.16 | 175 | 9 | 38 | 19.444444 | 0.85034 | 0 | 0 | 0 | 0 | 0 | 0.028409 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.857143 | 0 | 0.857143 | 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 | 0 | 1 | 0 | 0 | 4 |
a3473dfc1618520c49eee9487814445d4719fa00 | 16,544 | py | Python | simulator/simp_py/minya24.py | kcfkwok2003/Simp_py | f75e66da01b45dc8688dda602f8b33d4258f0c31 | [
"MIT"
] | null | null | null | simulator/simp_py/minya24.py | kcfkwok2003/Simp_py | f75e66da01b45dc8688dda602f8b33d4258f0c31 | [
"MIT"
] | null | null | null | simulator/simp_py/minya24.py | kcfkwok2003/Simp_py | f75e66da01b45dc8688dda602f8b33d4258f0c31 | [
"MIT"
] | null | null | null | # This comes with no warranty, implied or otherwise
# This data structure was designed to support Proportional fonts
# on Arduinos. It can however handle any ttf font that has been converted
# using the conversion program. These could be fixed width or proportional
# fonts. Individual characters do not have to be multiples of 8 bits wide.
# Any width is fine and does not need to be fixed.
# The data bits are packed to minimize data requirements, but the tradeoff
# is that a header is required per character.
# minya24.c
# Point Size : 24
# Memory usage : 2807 bytes
# # characters : 95
# Header Format (to make Arduino UTFT Compatible):
# ------------------------------------------------
# Character Width (Used as a marker to indicate use this format. i.e.: = 0x00)
# Character Height
# First Character (Reserved. 0x00)
# Number Of Characters (Reserved. 0x00)
tft_minya24 = [
0x00, 0x15, 0x00, 0x00,
# Individual Character Format:
# ----------------------------
# Character Code
# Adjusted Y Offset
# Width
# Height
# xOffset
# xDelta (the distance to move the cursor. Effective width of the character.)
# Data[n]
# NOTE: You can remove any of these characters if they are not needed in
# your application. The first character number in each Glyph indicates
# the ASCII character code. Therefore, these do not have to be sequential.
# Just remove all the content for a particular character to save space.
# ' '
0x20,0x13,0x00,0x00,0x00,0x07,
# '!'
0x21,0x02,0x05,0x12,0x00,0x05,
0x11,0x8C,0x63,0x18,0xC6,0x31,0x8C,0x42,0x01,0xCE,0x73,0x80,
# '"'
0x22,0x01,0x06,0x08,0x00,0x06,
0x01,0xA6,0xDB,0x6D,0xB6,0xC0,
# '#'
0x23,0x04,0x0C,0x0E,0x00,0x0B,
0x04,0x80,0x6C,0x0C,0x80,0xD8,0x7F,0xE7,0xFE,0x1B,0x01,0xB0,0x7F,0xE7,0xFC,0x12,0x03,0x20,0x32,0x00,0x00,
# '$'
0x24,0x02,0x0A,0x11,0x00,0x0B,
0x04,0x01,0x61,0xF8,0xFE,0x65,0x19,0x06,0x40,0xF0,0x1F,0x01,0xE0,0x4C,0x93,0x7C,0xCF,0xE0,0x60,0x10,0x04,0x00,
# '%'
0x25,0x01,0x0D,0x14,0x01,0x0F,
0x00,0x01,0xC1,0x1F,0x19,0x8C,0xCC,0x6C,0x63,0x61,0x36,0x0F,0xB0,0x1B,0x00,0x18,0x01,0x80,0x0C,0x00,0xCE,0x06,0xF8,0x6C,0x66,0x63,0x33,0x13,0x0F,0x98,0x38,0x00,0x00,
# '&'
0x26,0x02,0x0E,0x11,0x00,0x0D,
0x0E,0x00,0x7C,0x01,0xB0,0x06,0xC0,0x1E,0x00,0x38,0x00,0xC3,0x07,0x8C,0x37,0x60,0xCD,0x86,0x1E,0x18,0x70,0x41,0xE1,0x07,0xC6,0x33,0x9F,0x86,0x38,0x00,
# '''
0x27,0x02,0x03,0x08,0x00,0x03,
0x6D,0xB6,0xD8,
# '('
0x28,0x01,0x05,0x14,0x02,0x07,
0x00,0x8E,0x66,0x33,0x18,0xC6,0x31,0x8C,0x61,0x0C,0x63,0x8C,0x00,
# ')'
0x29,0x01,0x06,0x15,0x00,0x07,
0x01,0x86,0x0C,0x18,0x61,0x82,0x08,0x30,0xC2,0x08,0x61,0x86,0x30,0xC6,0x10,0x00,
# '*'
0x2A,0x04,0x0A,0x0D,0x01,0x0B,
0x08,0x03,0x04,0xC1,0xF6,0x7F,0x07,0x81,0xC0,0xF8,0x3F,0x1B,0xCC,0xD8,0x30,0x0C,0x00,
# '+'
0x2B,0x06,0x0A,0x0A,0x01,0x0B,
0x00,0x03,0x00,0xC0,0x30,0x7F,0xBF,0xE0,0xC0,0x30,0x0C,0x00,0x00,
# ','
0x2C,0x10,0x05,0x07,0x00,0x05,
0x33,0x9C,0x63,0x20,0x00,
# '-'
0x2D,0x09,0x07,0x02,0x00,0x07,
0x7D,0xF8,
# '.'
0x2E,0x10,0x04,0x04,0x01,0x05,
0x6E,0xE6,
# '/'
0x2F,0x01,0x0C,0x13,0x00,0x0B,
0x00,0x00,0x06,0x00,0x60,0x0C,0x00,0xC0,0x18,0x01,0x80,0x30,0x03,0x00,0x60,0x06,0x00,0xC0,0x0C,0x01,0x80,0x18,0x03,0x00,0x30,0x06,0x00,0x40,0x00,
# '0'
0x30,0x08,0x0B,0x0B,0x00,0x0B,
0x0E,0x03,0xE0,0xC6,0x30,0x66,0x0C,0xC0,0x98,0x33,0x06,0x61,0xC7,0xF0,0x7C,0x00,
# '1'
0x31,0x08,0x0A,0x0D,0x00,0x09,
0x04,0x1F,0x03,0xC0,0x30,0x0C,0x03,0x00,0xC0,0x30,0x0C,0x03,0x07,0xF9,0xFE,0x00,0x00,
# '2'
0x32,0x06,0x0A,0x0E,0x00,0x0A,
0x0E,0x07,0xC3,0x30,0xCC,0x03,0x01,0x80,0x60,0x30,0x18,0x0C,0x03,0x01,0xF8,0x7F,0xC0,0x20,
# '3'
0x33,0x08,0x09,0x10,0x00,0x08,
0x78,0x3F,0x81,0x81,0x81,0xC0,0xC0,0xE0,0x78,0x06,0x01,0x01,0x80,0xC0,0xE1,0xE0,0xC0,0x00,
# '4'
0x34,0x03,0x0B,0x13,0x00,0x0A,
0x00,0x00,0xC0,0x18,0x03,0x00,0x60,0x08,0x03,0x00,0x60,0x0D,0x83,0x20,0x64,0x18,0x83,0x10,0xC6,0x1F,0xF3,0xFE,0x03,0x00,0x60,0x0C,0x00,
# '5'
0x35,0x09,0x0A,0x0E,0x00,0x0A,
0x3F,0x8F,0xE3,0x00,0x80,0x60,0x1F,0x87,0xF0,0x06,0x01,0x80,0x60,0x19,0x86,0x7F,0x07,0x80,
# '6'
0x36,0x03,0x0A,0x12,0x00,0x0A,
0x00,0x01,0x80,0xE0,0x30,0x18,0x06,0x03,0x00,0xC0,0x60,0x1B,0x87,0xF1,0x86,0x61,0x90,0x66,0x19,0x86,0x3F,0x07,0x80,
# '7'
0x37,0x09,0x0A,0x0E,0x00,0x0A,
0x7F,0x9F,0xF0,0x18,0x0C,0x06,0x01,0x80,0xC0,0x30,0x18,0x06,0x01,0x80,0x40,0x10,0x0C,0x00,
# '8'
0x38,0x03,0x0B,0x11,0x00,0x0B,
0x0F,0x07,0xF0,0xC3,0x30,0x66,0x0C,0x63,0x87,0xE0,0xF8,0x39,0xCE,0x19,0x81,0x30,0x34,0x06,0xC1,0x98,0x71,0xFC,0x1F,0x00,
# '9'
0x39,0x07,0x0A,0x11,0x00,0x0A,
0x1E,0x0F,0xC6,0x19,0x86,0x41,0x98,0x66,0x18,0xFE,0x1D,0x80,0x40,0x30,0x0C,0x06,0x03,0x01,0xC0,0x20,0x00,0x00,
# ':'
0x3A,0x0A,0x05,0x0A,0x00,0x05,
0x33,0x9C,0x60,0x00,0xCE,0x71,0x80,
# ';'
0x3B,0x09,0x05,0x0D,0x00,0x06,
0x33,0xDE,0x60,0x00,0x0E,0x73,0x8C,0xC0,0x00,
# '<'
0x3C,0x06,0x0A,0x0C,0x00,0x09,
0x00,0x00,0xE0,0x70,0x38,0x1C,0x1C,0x03,0x00,0x70,0x0E,0x01,0xC0,0x10,0x00,
# '='
0x3D,0x09,0x08,0x06,0x01,0x0A,
0xFF,0xFE,0x00,0x00,0x7F,0xFF,
# '>'
0x3E,0x06,0x0A,0x0C,0x00,0x09,
0x00,0x18,0x03,0x80,0x70,0x0E,0x00,0xE0,0x30,0x38,0x1C,0x0E,0x02,0x00,0x00,
# '?'
0x3F,0x02,0x09,0x12,0x00,0x09,
0x1E,0x1F,0x98,0x6C,0x30,0x18,0x18,0x38,0x30,0x30,0x18,0x0C,0x02,0x01,0x00,0x00,0x60,0x78,0x3C,0x0C,0x00,
# '@'
0x40,0x02,0x11,0x11,0x00,0x11,
0x01,0xF0,0x03,0xFE,0x03,0x03,0x83,0x00,0xC3,0x04,0x31,0x1F,0x19,0x9F,0x0C,0xCC,0x86,0x4C,0x43,0x24,0x21,0x12,0x39,0x89,0xF7,0x84,0x71,0x83,0x00,0x00,0xC1,0x80,0x3F,0xC0,0x0F,0x80,0x00,
# 'A'
0x41,0x02,0x12,0x13,0x00,0x10,
0x00,0x00,0x01,0xF0,0x00,0x7E,0x00,0x03,0x80,0x01,0xA0,0x00,0x6C,0x00,0x1B,0x00,0x0C,0x40,0x03,0x18,0x01,0x86,0x00,0x61,0x80,0x1F,0xE0,0x0F,0xFC,0x03,0x03,0x01,0x80,0xC0,0x60,0x10,0x18,0x1F,0x9F,0xC7,0xEF,0xF8,0x00,
# 'B'
0x42,0x02,0x0E,0x13,0x00,0x0E,
0x7F,0x81,0xFF,0x81,0x86,0x06,0x18,0x18,0xC0,0x66,0x01,0xFC,0x07,0xFC,0x1C,0x30,0x60,0x61,0x81,0x86,0x06,0x18,0x18,0x60,0x61,0x81,0x06,0x0C,0x18,0xE0,0xFE,0x03,0xE0,0x00,
# 'C'
0x43,0x02,0x0F,0x12,0x00,0x0F,
0x03,0xF0,0x1F,0xE0,0x70,0xC1,0x80,0x83,0x00,0x04,0x00,0x18,0x00,0x30,0x00,0x60,0x00,0xC0,0x01,0x80,0x03,0x00,0x06,0x00,0x06,0x00,0x0E,0x01,0x0E,0x0E,0x0F,0xF8,0x07,0xE0,
# 'D'
0x44,0x02,0x0F,0x13,0x00,0x0F,
0x3F,0xC0,0x7F,0xE0,0x60,0xE0,0xC0,0xC1,0x80,0xC3,0x01,0x86,0x03,0x0C,0x02,0x18,0x04,0x30,0x08,0x60,0x30,0xC0,0x61,0x80,0x83,0x03,0x06,0x0C,0x0C,0x38,0x18,0xE0,0xFF,0x81,0xF8,0x00,
# 'E'
0x45,0x02,0x0D,0x13,0x00,0x0D,
0x3F,0xF1,0xFF,0x86,0x0C,0x30,0x61,0x80,0x0C,0x40,0x62,0x03,0xF0,0x1F,0x80,0xC4,0x06,0x20,0x30,0x01,0x80,0x0C,0x00,0x60,0xC3,0x06,0x7F,0xF3,0xFF,0x80,0x00,
# 'F'
0x46,0x01,0x0E,0x13,0x00,0x0E,
0x00,0x01,0xFF,0xE7,0xFF,0x86,0x06,0x18,0x18,0x63,0x01,0x8C,0x03,0xF0,0x0F,0xC0,0x63,0x01,0x8C,0x06,0x30,0x18,0x00,0x60,0x01,0x80,0x06,0x00,0x3F,0x81,0xFE,0x00,0x00,0x00,
# 'G'
0x47,0x01,0x11,0x14,0x00,0x11,
0x00,0x00,0x03,0xC8,0x03,0xFC,0x03,0x0E,0x03,0x03,0x01,0x00,0x01,0x80,0x00,0xC0,0x00,0x60,0x03,0x30,0x3F,0xD8,0x1F,0x0C,0x01,0x86,0x00,0xC3,0x80,0x60,0xC0,0x30,0x70,0x38,0x1C,0x3C,0x07,0xF6,0x01,0xF3,0x80,0x01,0xE0,
# 'H'
0x48,0x01,0x10,0x13,0x00,0x10,
0x00,0x00,0x7C,0x0F,0x1C,0x0C,0x0C,0x0C,0x0C,0x0C,0x0C,0x08,0x0C,0x08,0x0F,0xF8,0x0F,0xF8,0x0C,0x18,0x0C,0x18,0x0C,0x18,0x0C,0x18,0x0C,0x18,0x0C,0x18,0x0C,0x18,0x0C,0x1A,0x7C,0x1F,0x7C,0x10,
# 'I'
0x49,0x02,0x08,0x13,0x00,0x08,
0x7E,0x7E,0x18,0x18,0x18,0x18,0x18,0x18,0x18,0x18,0x18,0x18,0x18,0x18,0x18,0x18,0x18,0x7E,0x7E,
# 'J'
0x4A,0x01,0x0C,0x14,0x00,0x0B,
0x00,0x00,0x7E,0x07,0xE0,0x18,0x01,0x80,0x18,0x01,0x80,0x18,0x00,0x80,0x08,0x00,0x80,0x18,0x61,0x84,0x18,0x41,0x8C,0x18,0xC3,0x06,0x70,0x7E,0x01,0x80,
# 'K'
0x4B,0x02,0x11,0x13,0x00,0x10,
0x7E,0x7E,0x3F,0x3E,0x06,0x06,0x03,0x06,0x01,0x86,0x00,0xC6,0x00,0x66,0x00,0x37,0x00,0x1F,0x80,0x0E,0x60,0x06,0x10,0x03,0x0C,0x01,0x06,0x00,0x81,0x00,0x60,0x80,0x30,0x66,0x7E,0x1B,0x3F,0x0F,0x80,0x01,0x80,
# 'L'
0x4C,0x02,0x0D,0x11,0x00,0x0D,
0x7E,0x03,0xF0,0x06,0x00,0x30,0x01,0x80,0x0C,0x00,0x60,0x03,0x00,0x18,0x00,0xC0,0x06,0x00,0x30,0x01,0x81,0x0C,0x08,0x60,0x4F,0xFF,0x7F,0xF8,
# 'M'
0x4D,0x02,0x14,0x12,0x00,0x13,
0x7C,0x07,0x87,0xC0,0x7C,0x0C,0x06,0x00,0xE0,0xE0,0x0E,0x0E,0x00,0xE0,0xE0,0x1B,0x1E,0x01,0xB1,0x60,0x0B,0x16,0x00,0x9B,0x60,0x09,0xA6,0x00,0x9E,0x60,0x08,0xE6,0x00,0x8C,0x60,0x08,0xC6,0x03,0x8C,0x7E,0x78,0x47,0xE0,0x00,0x00,
# 'N'
0x4E,0x01,0x12,0x13,0x00,0x12,
0x00,0x00,0x1F,0x03,0xF3,0xC0,0x7C,0x38,0x10,0x0E,0x04,0x03,0xC1,0x00,0xB0,0x40,0x26,0x10,0x09,0x84,0x02,0x31,0x00,0x8C,0x40,0x21,0x90,0x08,0x74,0x06,0x0F,0x01,0x81,0xC0,0x60,0x70,0x78,0x0C,0x3E,0x03,0x00,0x00,0x40,
# 'O'
0x4F,0x02,0x11,0x12,0x00,0x11,
0x03,0xE0,0x07,0xFC,0x07,0x07,0x06,0x01,0x82,0x00,0x63,0x00,0x11,0x80,0x0C,0x80,0x06,0x40,0x03,0x20,0x01,0x98,0x00,0xCC,0x00,0x66,0x00,0x31,0x80,0x30,0xE0,0x18,0x38,0x18,0x0F,0xF8,0x01,0xF0,0x00,
# 'P'
0x50,0x02,0x0C,0x12,0x00,0x0C,
0x7F,0x07,0xFC,0x10,0x61,0x03,0x10,0x31,0x03,0x10,0x31,0x06,0x10,0xE1,0xFC,0x1E,0x01,0x00,0x18,0x01,0x80,0x18,0x01,0x80,0x7E,0x07,0xF0,
# 'Q'
0x51,0x02,0x13,0x15,0x00,0x11,
0x07,0xE0,0x01,0xFE,0x00,0x60,0x70,0x18,0x06,0x06,0x00,0x60,0xC0,0x0C,0x18,0x00,0xC2,0x00,0x18,0x40,0x03,0x08,0x0C,0x61,0x83,0xCC,0x30,0xCD,0x83,0x09,0xE0,0x60,0x3C,0x06,0x07,0x00,0x7F,0xE3,0x07,0xEC,0x40,0x01,0x98,0x00,0x33,0x00,0x03,0xC0,0x00,0x30,
# 'R'
0x52,0x02,0x0F,0x13,0x00,0x0F,
0x7F,0x80,0xFF,0xE0,0x60,0xE0,0xC0,0x61,0x80,0xC3,0x01,0x86,0x07,0x0C,0x1C,0x1F,0xF0,0x3F,0x80,0x66,0x00,0xC4,0x01,0x8C,0x63,0x18,0xC6,0x11,0x8C,0x33,0x7E,0x7C,0xFC,0x70,0x00,0x00,
# 'S'
0x53,0x01,0x0D,0x13,0x00,0x0D,
0x00,0x60,0x7B,0x07,0xF8,0x71,0xC3,0x06,0x18,0x00,0xC0,0x03,0x80,0x0E,0x00,0x1C,0x00,0x78,0x00,0xC0,0x03,0x30,0x19,0x80,0xCC,0x06,0x30,0x70,0xFF,0x03,0xE0,
# 'T'
0x54,0x01,0x0F,0x12,0x00,0x0F,
0x00,0x00,0xFF,0xF9,0xFF,0xF3,0x18,0x66,0x30,0xCC,0x61,0x90,0xC3,0x01,0x80,0x03,0x00,0x06,0x00,0x0C,0x00,0x18,0x00,0x30,0x00,0x60,0x00,0xC0,0x01,0x80,0x0F,0xE0,0x1F,0xC0,
# 'U'
0x55,0x02,0x10,0x11,0x00,0x0F,
0x7C,0x7E,0x7C,0x7E,0x30,0x08,0x30,0x08,0x30,0x08,0x30,0x0C,0x30,0x0C,0x30,0x0C,0x30,0x0C,0x30,0x0C,0x30,0x0C,0x10,0x08,0x18,0x18,0x18,0x18,0x0C,0x30,0x0F,0xF0,0x03,0xC0,
# 'V'
0x56,0x01,0x10,0x12,0x00,0x10,
0x00,0x7E,0xFE,0x7E,0x7E,0x18,0x18,0x30,0x18,0x30,0x18,0x20,0x08,0x60,0x0C,0x60,0x0C,0x60,0x0C,0x40,0x0C,0xC0,0x04,0xC0,0x04,0xC0,0x06,0x80,0x07,0x80,0x07,0x80,0x03,0x00,0x03,0x00,
# 'W'
0x57,0x01,0x14,0x13,0x00,0x14,
0x00,0x00,0x0F,0xC4,0xFF,0xF0,0x4F,0xE3,0x06,0x10,0x30,0xE3,0x01,0x8E,0x30,0x18,0xE3,0x01,0x8E,0x30,0x19,0xA3,0x01,0x9A,0x20,0x09,0xA6,0x00,0xD2,0x60,0x0D,0x36,0x00,0xF3,0x40,0x0F,0x34,0x00,0x63,0xC0,0x06,0x1C,0x00,0x61,0x80,0x00,0x18,0x00,
# 'X'
0x58,0x01,0x10,0x13,0x00,0x10,
0x00,0x00,0x7F,0x7F,0x7E,0x7E,0x0C,0x30,0x06,0x20,0x06,0x60,0x03,0xC0,0x01,0x80,0x01,0x80,0x03,0x80,0x02,0xC0,0x06,0x40,0x04,0x60,0x0C,0x60,0x18,0x30,0x18,0x30,0x7C,0x30,0xFC,0xFE,0x00,0xFF,
# 'Y'
0x59,0x01,0x11,0x13,0x00,0x10,
0x00,0x00,0x7F,0x3F,0xBF,0x07,0x03,0x03,0x00,0xC1,0x00,0x31,0x80,0x18,0x80,0x06,0xC0,0x01,0xC0,0x00,0xE0,0x00,0x30,0x00,0x30,0x00,0x18,0x00,0x0C,0x00,0x06,0x00,0x03,0x00,0x07,0x80,0x03,0xF8,0x00,0x7C,0x00,
# 'Z'
0x5A,0x02,0x0E,0x12,0x00,0x0D,
0x7F,0xF9,0xFF,0xE6,0x03,0x18,0x18,0x60,0xC1,0x07,0x00,0x18,0x00,0xC0,0x06,0x00,0x18,0x00,0xC0,0x06,0x00,0x18,0x30,0xC0,0xC3,0x03,0x1F,0xFE,0x7F,0xF8,0x00,0x60,
# '['
0x5B,0x01,0x08,0x14,0x01,0x08,
0x00,0x7C,0x7C,0x40,0x40,0x40,0x60,0x60,0x60,0x60,0x60,0x60,0x60,0x60,0x60,0x60,0x60,0x7E,0x7E,0x00,
# '\'
0x5C,0x01,0x0A,0x13,0x00,0x0A,
0x00,0x10,0x06,0x01,0x80,0x30,0x0C,0x01,0x80,0x60,0x0C,0x03,0x00,0x60,0x18,0x06,0x00,0xC0,0x30,0x06,0x01,0x80,0x60,0x08,
# ']'
0x5D,0x01,0x08,0x14,0x00,0x08,
0x00,0x7C,0x7E,0x04,0x04,0x0C,0x0C,0x0C,0x0C,0x0C,0x0C,0x0C,0x0C,0x0C,0x0C,0x0C,0x0C,0x0C,0x7C,0xFC,
# '^'
0x5E,0x03,0x0B,0x0B,0x00,0x0B,
0x00,0x00,0x40,0x18,0x03,0x00,0xF0,0x32,0x0C,0x63,0x86,0x60,0xC0,0x0C,0x00,0x00,
# '_'
0x5F,0x15,0x11,0x02,0xFF,0x0F,
0x7F,0xFF,0x3F,0xFF,0x80,
# '`'
0x60,0x00,0x06,0x07,0x00,0x06,
0x01,0x87,0x0C,0x18,0x20,0x00,
# 'a'
0x61,0x06,0x0C,0x0D,0x00,0x0B,
0x0E,0x03,0xF0,0x31,0x06,0x10,0x23,0x80,0xF8,0x3D,0x87,0x10,0x61,0x0C,0x18,0x63,0xA7,0xFE,0x1C,0xC0,
# 'b'
0x62,0x01,0x0C,0x14,0x00,0x0C,
0x00,0x07,0xC0,0x3C,0x01,0x80,0x18,0x01,0x80,0x18,0x01,0x98,0x1F,0xC1,0xC6,0x18,0x21,0x83,0x10,0x31,0x03,0x18,0x31,0x83,0x18,0x6F,0xC6,0xF7,0xC0,0x30,
# 'c'
0x63,0x06,0x0B,0x0D,0x00,0x0B,
0x06,0x03,0xF0,0xC7,0x31,0xE4,0x1C,0x80,0x30,0x06,0x00,0x60,0x0C,0x01,0xC3,0x1F,0xC0,0xF0,
# 'd'
0x64,0x01,0x0D,0x13,0x00,0x0D,
0x00,0x00,0x1E,0x00,0xF0,0x01,0x80,0x0C,0x00,0x60,0x03,0x01,0x98,0x3E,0x81,0x9C,0x18,0x60,0xC3,0x04,0x08,0x60,0x41,0x02,0x0C,0x30,0x71,0x91,0xFF,0x87,0x1C,
# 'e'
0x65,0x07,0x0B,0x0C,0x00,0x0B,
0x0F,0x03,0xF0,0xC3,0x30,0x66,0x1C,0xDE,0x1E,0x03,0x00,0x60,0x06,0x18,0x7E,0x07,0x80,
# 'f'
0x66,0x02,0x0A,0x12,0x00,0x08,
0x07,0x07,0xE1,0xB8,0x4E,0x10,0x04,0x07,0xE1,0xF8,0x18,0x06,0x01,0x80,0x60,0x18,0x06,0x01,0x81,0xF8,0x7E,0x00,0x00,
# 'g'
0x67,0x05,0x0A,0x12,0x00,0x0A,
0x00,0x00,0x20,0x18,0x7E,0x3F,0x18,0x64,0x09,0x02,0x61,0x9F,0xC1,0xE0,0x0C,0x01,0x84,0x67,0x19,0x8C,0x7E,0x0F,0x00,
# 'h'
0x68,0x02,0x0E,0x12,0x00,0x0D,
0x78,0x01,0xE0,0x01,0x80,0x06,0x00,0x19,0xC0,0x2F,0x80,0xE6,0x07,0x08,0x18,0x20,0x60,0x81,0x82,0x06,0x08,0x18,0x20,0x60,0x81,0x82,0x1F,0x9E,0x7E,0x78,0x00,0x00,
# 'i'
0x69,0x02,0x08,0x11,0x00,0x08,
0x30,0x78,0x78,0x30,0x00,0x78,0x78,0x18,0x18,0x18,0x18,0x18,0x18,0x18,0x18,0x7E,0x7F,
# 'j'
0x6A,0x02,0x09,0x15,0xFE,0x07,
0x06,0x07,0x03,0x81,0xC0,0x00,0xF8,0x7C,0x06,0x03,0x01,0x80,0xC0,0x60,0x30,0x18,0x0C,0x06,0x03,0x01,0x99,0x8F,0xC3,0xC0,
# 'k'
0x6B,0x02,0x0D,0x12,0x00,0x0D,
0x78,0x03,0xC0,0x06,0x00,0x37,0xC1,0xBC,0x0C,0xC0,0x6C,0x03,0xC0,0x1C,0x00,0xC0,0x07,0x00,0x3E,0x01,0xB8,0x08,0x61,0xC1,0xCF,0x07,0x00,0x10,0x00,0x00,
# 'l'
0x6C,0x02,0x08,0x12,0x00,0x08,
0x78,0x78,0x18,0x08,0x08,0x08,0x08,0x08,0x08,0x18,0x18,0x18,0x18,0x18,0x18,0x7E,0x7E,0x00,
# 'm'
0x6D,0x08,0x14,0x0D,0x00,0x14,
0x40,0xC3,0x0F,0xBE,0xF8,0x1E,0x78,0xC1,0xC7,0x0C,0x18,0x20,0xC1,0x82,0x0C,0x10,0x20,0xC1,0x82,0x08,0x18,0x60,0x81,0x84,0x18,0x7E,0x71,0xE7,0xE7,0x9E,0x00,0x00,0x00,
# 'n'
0x6E,0x06,0x0E,0x0E,0x00,0x0D,
0x79,0xC1,0xEF,0x81,0xE6,0x07,0x08,0x18,0x30,0x60,0xC1,0x82,0x06,0x08,0x18,0x20,0x60,0x81,0x82,0x1F,0x1E,0x7E,0x78,0x00,0x00,
# 'o'
0x6F,0x08,0x0B,0x0C,0x00,0x0C,
0x0F,0x03,0xF8,0xC3,0x30,0x36,0x06,0x80,0xD0,0x1B,0x03,0x60,0x66,0x18,0xFE,0x07,0x80,
# 'p'
0x70,0x07,0x0B,0x10,0x00,0x0B,
0x07,0x1F,0xF1,0xE3,0x18,0x23,0x06,0x60,0xCC,0x19,0x82,0x30,0xC6,0x18,0xFE,0x1B,0x83,0x00,0x60,0x1C,0x07,0x80,
# 'q'
0x71,0x06,0x0D,0x11,0x00,0x0B,
0x0C,0x01,0xF7,0x0C,0xF8,0xC3,0x04,0x18,0x20,0x41,0x02,0x08,0x10,0x60,0x83,0x04,0x0C,0x60,0x7F,0x01,0xE8,0x00,0xC0,0x06,0xC0,0x1E,0x00,0xE0,
# 'r'
0x72,0x08,0x0A,0x0D,0x00,0x09,
0x77,0x3F,0xE3,0xB8,0xCE,0x33,0x0C,0x03,0x00,0xC0,0x30,0x04,0x07,0xC1,0xF0,0x00,0x00,
# 's'
0x73,0x05,0x0A,0x0E,0x00,0x0A,
0x03,0x00,0xC1,0xF0,0xFC,0x63,0x18,0x47,0x00,0xF8,0x07,0x80,0x64,0x19,0x86,0x7F,0x07,0x80,
# 't'
0x74,0x02,0x09,0x13,0x00,0x09,
0x30,0x18,0x0C,0x06,0x02,0x07,0xE3,0xF8,0x40,0x20,0x10,0x08,0x04,0x02,0x11,0x18,0x84,0x62,0x33,0x0F,0x83,0x00,
# 'u'
0x75,0x06,0x0E,0x0E,0x00,0x0D,
0x00,0x03,0xE7,0xC7,0x9F,0x0C,0x30,0x30,0xC0,0xC3,0x03,0x0C,0x0C,0x30,0x30,0xC0,0xC3,0x03,0x0C,0x0E,0x7C,0x1F,0xF8,0x3C,0x00,
# 'v'
0x76,0x07,0x0E,0x0D,0x00,0x0D,
0x01,0xFB,0xF3,0xEF,0xC6,0x06,0x18,0x18,0x60,0x31,0x00,0xCC,0x01,0x30,0x06,0x80,0x0A,0x00,0x38,0x00,0xE0,0x01,0x00,
# 'w'
0x77,0x08,0x11,0x0D,0x00,0x11,
0x04,0x1F,0xFF,0x6F,0xBE,0x31,0x83,0x1C,0xC1,0x9E,0x40,0x4D,0x20,0x34,0xB0,0x1A,0x78,0x05,0x3C,0x03,0x8E,0x01,0x86,0x00,0x43,0x00,0x00,0x00,
# 'x'
0x78,0x08,0x0D,0x0D,0x00,0x0D,
0x0C,0xFB,0xE7,0xDE,0x18,0x31,0x80,0xD8,0x03,0x80,0x18,0x01,0xE0,0x19,0x81,0x8C,0x0E,0x7D,0xF3,0xE4,0x00,0x00,
# 'y'
0x79,0x06,0x0F,0x11,0x00,0x0D,
0x7C,0x01,0xF8,0x00,0xC3,0xF0,0xC7,0xE1,0x82,0x01,0x0C,0x03,0x18,0x06,0x20,0x06,0xC0,0x0D,0x00,0x0E,0x00,0x18,0x00,0x30,0x06,0xC0,0x1F,0x00,0x3E,0x00,0x30,0x00,
# 'z'
0x7A,0x08,0x0B,0x0B,0x00,0x0B,
0x7F,0xCF,0xF9,0x86,0x31,0x86,0x60,0x1C,0x07,0x00,0xC6,0x30,0xCF,0xF9,0xFF,0x00,
# '{'
0x7B,0x02,0x09,0x12,0x00,0x08,
0x07,0x07,0x83,0x01,0x01,0x80,0xC0,0x60,0xE0,0x70,0x0C,0x06,0x03,0x01,0x80,0xC0,0x60,0x30,0x1F,0x03,0x80,
# '|'
0x7C,0x02,0x03,0x12,0x01,0x05,
0x49,0x24,0x92,0x6D,0xB6,0xDB,0x6C,
# '}'
0x7D,0x02,0x07,0x11,0x00,0x07,
0x30,0xF0,0x20,0x41,0x83,0x02,0x06,0x0E,0x18,0x60,0xC0,0x81,0x83,0x3C,0x78,
# '~'
0x7E,0x09,0x0D,0x04,0x00,0x0D,
0x18,0x03,0xF1,0x98,0xFC,0x83,0xC0,
# Terminator
0xFF
]
| 49.981873 | 251 | 0.743351 | 3,073 | 16,544 | 4.001302 | 0.114221 | 0.027977 | 0.024398 | 0.027326 | 0.135817 | 0.088809 | 0.05758 | 0.040013 | 0.037085 | 0.027977 | 0 | 0.474732 | 0.058692 | 16,544 | 330 | 252 | 50.133333 | 0.31484 | 0.102817 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.780644 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
a34f50aab0058ded87b960ef5eb790d146aa93c7 | 154 | py | Python | cassiopeia/tools/branch_length_estimator/__init__.py | YosefLab/SingleCellLineageTracing | d9133fc80c8314e7935fde037dd86111cac47447 | [
"MIT"
] | 52 | 2019-05-14T02:06:24.000Z | 2022-03-27T05:22:56.000Z | cassiopeia/tools/branch_length_estimator/__init__.py | sbradford2/Cassiopeia | 010072b307f7eadbf10dc4af8b2165e48f1736a7 | [
"MIT"
] | 88 | 2019-06-07T15:07:45.000Z | 2022-03-22T14:40:03.000Z | cassiopeia/tools/branch_length_estimator/__init__.py | sbradford2/Cassiopeia | 010072b307f7eadbf10dc4af8b2165e48f1736a7 | [
"MIT"
] | 17 | 2019-05-17T00:46:16.000Z | 2022-03-25T00:39:18.000Z | """Top level for branch length estimator."""
from .IIDExponentialMLE import IIDExponentialMLE
from .IIDExponentialBayesian import IIDExponentialBayesian
| 30.8 | 58 | 0.844156 | 14 | 154 | 9.285714 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.097403 | 154 | 4 | 59 | 38.5 | 0.935252 | 0.246753 | 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 | 0 | 0 | 0 | 4 |
a37a33d45cefca4491180f168768ad1c5b395dcb | 753 | py | Python | pysbolgraph/S2Model.py | zhfanrui/pysbolgraph | c4914705bd9b22a2b69db0fc4d43049fcb07ad17 | [
"BSD-2-Clause"
] | 4 | 2018-06-29T10:43:08.000Z | 2019-03-27T22:33:33.000Z | pysbolgraph/S2Model.py | zhfanrui/pysbolgraph | c4914705bd9b22a2b69db0fc4d43049fcb07ad17 | [
"BSD-2-Clause"
] | 14 | 2019-01-22T16:03:12.000Z | 2019-11-11T19:05:32.000Z | pysbolgraph/S2Model.py | zhfanrui/pysbolgraph | c4914705bd9b22a2b69db0fc4d43049fcb07ad17 | [
"BSD-2-Clause"
] | 12 | 2018-07-01T10:59:37.000Z | 2021-03-01T08:48:20.000Z |
from .S2Identified import S2Identified
class S2Model(S2Identified):
def __init__(self, g, uri):
super(S2Model, self).__init__(g, uri)
@property
def framework(self):
return self.get_uri_property(SBOL2.framework)
@framework.setter
def framework(self, framework):
self.set_uri_property(SBOL2.framework, framework)
@property
def language(self):
return self.get_uri_property(SBOL2.language)
@language.setter
def language(self, language):
self.set_uri_property(SBOL2.language, language)
@property
def source(self):
return self.get_uri_property(SBOL2.source)
@source.setter
def source(self, source):
self.set_uri_property(SBOL2.source, source)
| 24.290323 | 57 | 0.687915 | 90 | 753 | 5.533333 | 0.222222 | 0.154618 | 0.192771 | 0.10241 | 0.522088 | 0.198795 | 0.198795 | 0 | 0 | 0 | 0 | 0.018613 | 0.215139 | 753 | 30 | 58 | 25.1 | 0.824027 | 0 | 0 | 0.136364 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.318182 | false | 0 | 0.045455 | 0.136364 | 0.545455 | 0 | 0 | 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 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 4 |
6e606cc3a4ce9729dbbe9a96acb10ef177b88f50 | 3,529 | py | Python | mmtfPyspark/tests/dev/test_interactionFilter.py | sbliven/mmtf-pyspark | 3d444178bdc0d5128aafdb1326fec12b5d7634b5 | [
"Apache-2.0"
] | 59 | 2018-01-28T06:50:56.000Z | 2022-02-10T06:07:12.000Z | mmtfPyspark/tests/dev/test_interactionFilter.py | sbliven/mmtf-pyspark | 3d444178bdc0d5128aafdb1326fec12b5d7634b5 | [
"Apache-2.0"
] | 101 | 2018-02-01T20:51:10.000Z | 2022-01-24T00:50:29.000Z | mmtfPyspark/tests/dev/test_interactionFilter.py | sbliven/mmtf-pyspark | 3d444178bdc0d5128aafdb1326fec12b5d7634b5 | [
"Apache-2.0"
] | 29 | 2018-01-29T10:09:51.000Z | 2022-01-23T18:53:28.000Z | #!/usr/bin/env python
import unittest
from mmtfPyspark.interactions import InteractionFilter
class InteractionFilterTest(unittest.TestCase):
def setUp(self):
pass
def test1(self):
inFilter = InteractionFilter()
inFilter.set_query_groups(True, ["HOH","ZN"])
self.assertTrue(inFilter.is_query_group('ZN'))
self.assertTrue(inFilter.is_query_group('HOH'))
self.assertFalse(inFilter.is_query_group('MN'))
def test2(self):
inFilter = InteractionFilter()
inFilter.set_query_groups(False, ["HOH","ZN"])
self.assertFalse(inFilter.is_query_group('ZN'))
self.assertFalse(inFilter.is_query_group('HOH'))
self.assertTrue(inFilter.is_query_group('MN'))
def test3(self):
inFilter = InteractionFilter()
inFilter.set_target_groups(True, ["HOH","ZN"])
self.assertTrue(inFilter.is_target_group('ZN'))
self.assertTrue(inFilter.is_target_group('HOH'))
self.assertFalse(inFilter.is_target_group('MN'))
def test4(self):
inFilter = InteractionFilter()
inFilter.set_target_groups(False, ["HOH","ZN"])
self.assertFalse(inFilter.is_target_group('ZN'))
self.assertFalse(inFilter.is_target_group('HOH'))
self.assertTrue(inFilter.is_target_group('MN'))
def test5(self):
inFilter = InteractionFilter()
self.assertTrue(inFilter.is_query_group('ZN'))
self.assertTrue(inFilter.is_target_group('ZN'))
self.assertTrue(not inFilter.is_prohibited_target_group('ZN'))
def test6(self):
inFilter = InteractionFilter()
inFilter.set_query_elements(True, ["N","O"])
self.assertTrue(inFilter.is_query_element('O'))
self.assertTrue(inFilter.is_query_element('N'))
self.assertFalse(inFilter.is_query_element('S'))
def test7(self):
inFilter = InteractionFilter()
inFilter.set_query_elements(False, ["N","O"])
self.assertFalse(inFilter.is_query_element('O'))
self.assertFalse(inFilter.is_query_element('N'))
self.assertTrue(inFilter.is_query_element('S'))
def test8(self):
inFilter = InteractionFilter()
inFilter.set_target_elements(True, ["N","O"])
self.assertTrue(inFilter.is_target_element('O'))
self.assertTrue(inFilter.is_target_element('N'))
self.assertFalse(inFilter.is_target_element('S'))
def test9(self):
inFilter = InteractionFilter()
inFilter.set_target_elements(False, ["N","O"])
self.assertFalse(inFilter.is_target_element('O'))
self.assertFalse(inFilter.is_target_element('N'))
self.assertTrue(inFilter.is_target_element('S'))
def test10(self):
inFilter = InteractionFilter()
inFilter.set_query_atom_names(True, ["CA","CB"])
self.assertFalse(inFilter.is_query_atom_name('C'))
self.assertFalse(inFilter.is_query_atom_name('CG'))
self.assertTrue(inFilter.is_query_atom_name('CA'))
self.assertTrue(inFilter.is_query_atom_name('CB'))
def test11(self):
inFilter = InteractionFilter()
inFilter.set_target_atom_names(True, ["CA","CB"])
self.assertFalse(inFilter.is_target_atom_name('C'))
self.assertFalse(inFilter.is_target_atom_name('CG'))
self.assertTrue(inFilter.is_target_atom_name('CA'))
self.assertTrue(inFilter.is_target_atom_name('CB'))
def tearDown(self):
pass
if __name__ == '__main__':
unittest.main()
| 30.686957 | 70 | 0.668745 | 410 | 3,529 | 5.490244 | 0.143902 | 0.155486 | 0.175922 | 0.191915 | 0.860951 | 0.860951 | 0.66948 | 0.253665 | 0.126166 | 0.088849 | 0 | 0.004577 | 0.195239 | 3,529 | 114 | 71 | 30.95614 | 0.788028 | 0.005667 | 0 | 0.223684 | 0 | 0 | 0.029647 | 0 | 0 | 0 | 0 | 0 | 0.460526 | 1 | 0.171053 | false | 0.026316 | 0.026316 | 0 | 0.210526 | 0 | 0 | 0 | 0 | null | 0 | 0 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
6e7133d2e2f69001222e0c5f1dc62021dd904ec6 | 9,480 | py | Python | fracture/__init__.py | mikemalinowski/fracture | f9895d4e5f65e4d27bd3265c41eeb87a0878ceaa | [
"MIT"
] | 2 | 2020-10-09T01:40:11.000Z | 2020-10-09T14:16:51.000Z | fracture/__init__.py | mikemalinowski/fracture | f9895d4e5f65e4d27bd3265c41eeb87a0878ceaa | [
"MIT"
] | null | null | null | fracture/__init__.py | mikemalinowski/fracture | f9895d4e5f65e4d27bd3265c41eeb87a0878ceaa | [
"MIT"
] | 1 | 2020-10-09T14:16:53.000Z | 2020-10-09T14:16:53.000Z | """
# Overview
Fracture is a lightweight and flexible data management system. It allows
you to interact with data through a trait compositing mechanism, whilst
also exposing the ability to quickly query and access information
about the data you're exploring.
# How it works
You start by creating a fracture.Project. The project file is where all
the metadata and look up tables are stored - allowing you to easily search
for data assets as well as find changes.
Fracture comes built-in with a file searching mechanism, but you can extend
this with your own search mechanisms too. For instance, if you have data
on an FTP, or within Source Control and you want to add that data to the
project without having to have it physically on disk you're able to do so
by implementing a fracture.ScanProcess plugin.
Finally, and probably the most important is the DataElement. This is a class
which you can use to express the functionality of data. Rather than having a
1:1 relationship between a DataElement class and a data type the DataElement
class supports class compositing. This allows for a piece of data to be
represented by more than one class simultaneously.
# Examples
This example uses the ```dino_example``` data which you can download from
https://github.com/mikemalinowski/fracture.
To start with, we create a fracture project. To do this we must specify
two pieces of information, the first being where we want to save our
project file and the second being the locations where we want fracture
to look for Scan and Data Plugins.
```python
import os
import fracture
project = fracture.create(
project_path=os.path.join(current_path, '_dino.fracture'),
plugin_locations=[os.path.join(current_path, 'plugins')]
)
```
This returns a fracture.Project instance which we can then start interacting
with, for instance we can define locations where the project should start
looking for data:
```python
# -- Tell the project where to look for data
project.add_scan_location('/usr/my_data'))
```
Finally, with the project made, and at least one search location added we
can initiate a search...
```python
# -- Now we initiate a scan. This will cycle over all the
# -- scan locations and scrape them for data
project.scan()
```
Scanning is the process of running over all the scan plugins - of which there
is always at least one (the file scraper), and populating the project with
information about each piece of data which is found. The process is pretty
quick and the amount of data stored is minimal - primarily just the identifier
such as the path along with any tags as defined by any DataElement composites
which can represent that data.
With the project populated we can now start querying the project for
data
```python
# -- Now we have scanned we can start to run queries over data
# -- very quickly. We can search by tags, or use the special
# -- * wildcard
for item in project.find('*'):
# -- By default we get string identifiers back from a find, as
# -- this is incredibly quick. However, we can ask for the data
# -- composite representation of the item. A data composite is
# -- a composition of all the data plugins which can represent
# -- this identifier.
item = project.get(item)
# -- Print the identifier, and the item (which also shows the
# -- class composition)
print(item.identifier())
print('\t%s' % item)
# -- We can start interacting with this data, calling
# -- functionality will return a dictionary of all the
# -- functionality exposed by all the data plugins representing
# -- this item
for k, v in item.functionality().items():
print('\t\t%s = %s' % (k, v))
```
The process of querying is very quick, even for reasonably large data sets. In
the example above we're then asking the project to 'get' the item. This process
take the identifier and binds all the relevent DataElements together which
can possibly represent the data.
Binding is particularly useful when there is no obvious hierarchy between
two elements. For instance, in the ```dino_example``` data set we have a
trait which is ```carnivore``` and a trait which is ```herbivore```. There
is no hierarchical relationship between the two, but an omnivore would need
both. By using class compositing we avoid complex multi-inheritence situations.
Using this same mechanism, if we know the locator of a piece of information,
such as a file path, we can get the composited class directly without having
to run a query, as shown here:
```python
# -- We do not have to utilise the find method to get access to data,
# -- and in fact we can get a Composite representation of data even
# -- if that data is not within our scan location.
data = project.get('/usr/my_data/my_file.txt')
```
For a full demo, download the ```dino_example``` and run main.py
# Data Composition
As mentioned in the examples, we use class composition to bind traits together
to represent data. This means we can have small, self contained traits which
do not need rigid hierarchical structures designed for them.
There are three main composited methods in the DataElement class, specifically:
* label : The first call that returns a positive result is taken
* mandatory_tags : All the lists are collated from all compositions and made unique
* functionality : All dictionaries are combined into a single dictionary
* icon : The first call that returns a positive result is taken
Given the ```dino_example``` files, the velociraptor.png file, when passed
to ```project.get('/usr/my_data/.../velociraptor.png')``` is expressed
as a class formed of the following traits: [Carnivore; File; Image;] where each
trait can expose its own information.
An implementation of a DataElement plugin looks like this:
```python
import re
import fracture
# -- All plugins must inherit from the fracture.DataElement class in order
# -- to be dynamically picked up.
class CarnivoreTrait(fracture.DataElement):
# -- The data type is mandatory, and is your way of
# -- denoting the name of this plugin
data_type = 'carnivore'
# -- These two lines are not at all required and are here
# -- just to make performance better
_split = re.compile('/|\.|,|-|:|_', re.I)
_has_trait = re.compile('(carnivore|omnivore).*\.', re.I)
# --------------------------------------------------------------------------
# -- This method must be re-implemented, and its your oppotunity to
# -- decide whether this plugin can viably represent the given data
# -- identifier.
# -- In this example we use a regex check, but it could be anything
# -- you want. The key thing to remember is that this is called a lot,
# -- so performance is worth keeping in mind.
@classmethod
def can_represent(cls, identifier):
if CarnivoreTrait._has_trait.search(identifier):
return True
return False
# --------------------------------------------------------------------------
# -- This is your way of exposing functionality in a common and consistent
# -- way. If you know the data types you can of course call things directly
# -- but this is a good catch up consistent way of exposing functionality
# -- and is typically harnessed by user interfaces.
def functionality(self):
return dict(
feed_meat=self.feed_meat,
),
)
# --------------------------------------------------------------------------
# -- This should return a 'nice name' for the identifier
def label(self):
return os.path.basename(self.identifier())
# --------------------------------------------------------------------------
# -- As fracture heavily utilises tags, this is your way of defining a
# -- set of tags which are mandatory for anything with this trait
def mandatory_tags(self):
return ['carnivore', 'meat', 'hunter']
# --------------------------------------------------------------------------
# -- This is here just as a demonstration of a callable function which
# -- which can be accessed on the trait
def feed_meat(self):
print('Would feed this creature some meat...')
```
By placing a trait plugin anywhere within the plugin locations you define
for your project will immediately make it accessible.
## ScanProcess
By default fracture comes with one built-in scan plugin which handles file
scanning, so that is a good example when wanting to write your own - if you
have need to do so.
This plugin type defines how to find data. If your data is files on a disk
such as those in the example above then your scan plugin may do little more
than cycle directories and yield file paths.
Alternatively if you're caching data from a REST API you might be utilising
requests within the scan process and feeding back URL's.
# Origin
This library is a variation on the tools demonstrated during
GDC2018 (A Practical Approach to Developing Forward-Facing Rigs, Tools and
Pipelines), which can be explored in more detail here:
https://www.gdcvault.com/play/1025427/A-Practical-Approach-to-Developing
Slide 55 onward explores this concept. It is also explored in detail
on this webpage:
https://www.twisted.space/blog/insight-localised-asset-management
"""
from ._project import icon
from ._project import Project
from ._scan import ScanProcess
from ._element import DataElement
from ._access import create
from ._access import load
from .constants import log
| 39.3361 | 83 | 0.711498 | 1,415 | 9,480 | 4.742756 | 0.309541 | 0.008196 | 0.008345 | 0.004917 | 0.038742 | 0.013411 | 0.013411 | 0.013411 | 0.013411 | 0.013411 | 0 | 0.001948 | 0.187658 | 9,480 | 240 | 84 | 39.5 | 0.869497 | 0.97827 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 4 |
6e75611e944a439f24c89d659dc0e29d97cdc369 | 2,017 | py | Python | tokens.py | brunoorlandin/projeto-compiladores | 36cb846ee54a8d8bfeb88644b201f4809c967c09 | [
"MIT"
] | null | null | null | tokens.py | brunoorlandin/projeto-compiladores | 36cb846ee54a8d8bfeb88644b201f4809c967c09 | [
"MIT"
] | null | null | null | tokens.py | brunoorlandin/projeto-compiladores | 36cb846ee54a8d8bfeb88644b201f4809c967c09 | [
"MIT"
] | 1 | 2022-03-24T00:11:48.000Z | 2022-03-24T00:11:48.000Z | '''
letras = [a-z] + [A-Z]
digito = "0" + "1" + "2" + "3" + "4" + "5" + "6" + "7" + "8" + "9"
simbolos = "!" + "@" + "#" + "$" + "%" + "&" + "*"
IDENTIFIER: letra.(letra + digito + simbolo)*
INTEGER: (digito+)
STRING: ".letra*"
L_CHAVE: {
R_CHAVE: }
ATRIBUIDOR: =
EOL: ;
## Tipos das variaveis
# Para os tipos das variaveis foram utilizados as palavras abaixo:
# a palavra "sword" corresponde ao tipo char (string)
# a palavra "shield" corresponde ao tipo inteiro
# Tokens e expressoes regulares:
SWORD: s.w.o.r.d
SHIELD: s.h.i.e.l.d
## Operadores aritimeticos
# Para os operadores aritimeticos foram utilizadas as palavras abaixo
# "buff" significa o operador de adicao (+)
# "debuff" significa o operador de subtracao (-)
# "heal" significa o operador de multiplicacao (*)
# "poison" significa o operador de divisao (/)
# Tokens e expressoes regulares:
BUFF: b.u.f.f
DEFUBB: d.e.b.u.f.f
HEAL: h.e.a.l
POISON: p.o.i.s.o.n
## Estruturas condicionais
# Para as estruturas condicionais foram utilizadas as palavras abaixo
# "hit" correspondendo ao se (condicao verdadeira)
# "miss" correspondente ao se não (condicao nao veridadeira)
# Tokens e expressoes regulares:
HIT: h.i.t
MISS: m.i.s.s
## Simbolos de comparacao
# Para os simbolos de comparacao foram utilizadas as palavras abaixo:
# "attack" correspondendo a maior (>)
# "defense" correspondendo a maior (<)
# "dodge" correspondendo a comparacao de igualdade (==)
# "critical" correspondendo a maior (>=)
# "block" correspondendo a maior (<=)
# Tokens e expressoes regulares
ATTACK: a.t.t.a.c.k
DEFENSE: d.e.f.e.n.s.e
DODGE: d.o.d.g.e
CRITICAL: c.r.i.t.i.c.a.l
BLOCK: b.l.o.c.k
'''
class Token(object):
def __init__(self, type, value):
self.type = type
self.value = value
#representação em string da classe
def __str__(self):
return "Token({type}, {value})".format(type = self.type, value = repr(self.value))
def __repr__(self):
return self.__str__()
| 27.630137 | 87 | 0.650967 | 293 | 2,017 | 4.419795 | 0.389079 | 0.057915 | 0.049421 | 0.080309 | 0.071815 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006192 | 0.199306 | 2,017 | 72 | 88 | 28.013889 | 0.795666 | 0.82945 | 0 | 0 | 0 | 0 | 0.08365 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.375 | false | 0 | 0 | 0.25 | 0.75 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 4 |
6e98de22685effa3db1f6d7261a68d9920976f23 | 201 | py | Python | kattis/nsum/nsum.py | ShengyuanWang/ShengyuanWang.github.io | b43f867a1b140b78f8031725cff212b43ecd001b | [
"MIT"
] | 1 | 2022-01-20T21:12:00.000Z | 2022-01-20T21:12:00.000Z | kattis/nsum/nsum.py | ShengyuanWang/ShengyuanWang.github.io | b43f867a1b140b78f8031725cff212b43ecd001b | [
"MIT"
] | null | null | null | kattis/nsum/nsum.py | ShengyuanWang/ShengyuanWang.github.io | b43f867a1b140b78f8031725cff212b43ecd001b | [
"MIT"
] | null | null | null | def addition(nums):
return sum(nums)
def main():
t = int(input())
nums = list(map(int, input().strip().split()))
return addition(nums)
if __name__ == "__main__":
print(main()) | 14.357143 | 50 | 0.587065 | 26 | 201 | 4.230769 | 0.615385 | 0.218182 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.223881 | 201 | 14 | 51 | 14.357143 | 0.705128 | 0 | 0 | 0 | 0 | 0 | 0.039604 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0 | 0.125 | 0.5 | 0.125 | 1 | 0 | 0 | null | 1 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 |
6e99bdbe5f2749969968dcf03f1beeef55a28f54 | 391 | py | Python | mlib/requests/sites/const.py | tmunzer/Mist_library | 5d44325dc5b59483d9d6803f31fe1568762b04ca | [
"MIT"
] | 13 | 2020-04-21T21:11:56.000Z | 2021-07-15T21:42:41.000Z | mlib/requests/sites/const.py | tmunzer/mist_library | 812828a6486f59850a12dda4f81dbfd76929ed6b | [
"MIT"
] | null | null | null | mlib/requests/sites/const.py | tmunzer/mist_library | 812828a6486f59850a12dda4f81dbfd76929ed6b | [
"MIT"
] | 2 | 2020-06-18T20:07:51.000Z | 2020-08-13T16:43:32.000Z |
def get_applications(mist_session):
uri = "/api/v1/const/applications"
resp = mist_session.mist_get(uri)
return resp
def get_ap_led_status(mist_session):
uri = "/api/v1/const/ap_led_status"
resp = mist_session.mist_get(uri)
return resp
def get_ap_models(mist_session):
uri = "/api/v1/const/device_models"
resp = mist_session.mist_get(uri)
return resp
| 23 | 39 | 0.713555 | 60 | 391 | 4.35 | 0.266667 | 0.252874 | 0.16092 | 0.195402 | 0.739464 | 0.739464 | 0.463602 | 0.463602 | 0.329502 | 0.329502 | 0 | 0.009346 | 0.179028 | 391 | 16 | 40 | 24.4375 | 0.803738 | 0 | 0 | 0.5 | 0 | 0 | 0.205656 | 0.205656 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 1 | 0 | 1 | 0 | 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 | 4 |
6ea454687e6e26549701f916328614176c2d2f55 | 222 | py | Python | Aula 15/tuplas.py | mateuschaves/curso-python | 53b2f3b4bf083ae2ce7ea19dd358f49a36becd9d | [
"MIT"
] | 1 | 2018-07-23T04:03:35.000Z | 2018-07-23T04:03:35.000Z | Aula 15/tuplas.py | mateuschaves/curso-python | 53b2f3b4bf083ae2ce7ea19dd358f49a36becd9d | [
"MIT"
] | null | null | null | Aula 15/tuplas.py | mateuschaves/curso-python | 53b2f3b4bf083ae2ce7ea19dd358f49a36becd9d | [
"MIT"
] | null | null | null | lanche = ('Hambúrguer', 'Suco', 'Pizza', 'Pudim')
print(lanche[1])
print(lanche[-1])
print(lanche[0:])
lanche = ('miojo', 'refrigerante', 'pastel', 'bolo')
for pos, comida in enumerate(lanche):
print(comida, pos)
| 17.076923 | 52 | 0.63964 | 28 | 222 | 5.071429 | 0.607143 | 0.232394 | 0.169014 | 0.239437 | 0.246479 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015707 | 0.13964 | 222 | 12 | 53 | 18.5 | 0.727749 | 0 | 0 | 0 | 0 | 0 | 0.230769 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.571429 | 1 | 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 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 |
42bcfcb4772fa092908e2294a625a78fcf366fe2 | 86 | py | Python | test/test_most_stones_removed_with_same_row_or_column.py | spencercjh/sync-leetcode-today-problem-python3-example | 4957e5eadb697334741df0fc297bec2edaa9e2ab | [
"Apache-2.0"
] | null | null | null | test/test_most_stones_removed_with_same_row_or_column.py | spencercjh/sync-leetcode-today-problem-python3-example | 4957e5eadb697334741df0fc297bec2edaa9e2ab | [
"Apache-2.0"
] | null | null | null | test/test_most_stones_removed_with_same_row_or_column.py | spencercjh/sync-leetcode-today-problem-python3-example | 4957e5eadb697334741df0fc297bec2edaa9e2ab | [
"Apache-2.0"
] | null | null | null | solution = MostStonesRemovedWithSameRowOrColumn()
assert X == solution.removeStones( ) | 43 | 49 | 0.825581 | 6 | 86 | 11.833333 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.081395 | 86 | 2 | 50 | 43 | 0.898734 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
42f558bb59b6e84ad3709224acecd361d85197e2 | 206 | py | Python | pyro/Enums/Event.py | rux616/pyro | 8f611f6c4f7a82f7ab1112d4473b172dede50efc | [
"MIT"
] | 40 | 2017-11-12T10:07:00.000Z | 2022-02-21T01:44:36.000Z | pyro/Enums/Event.py | rux616/pyro | 8f611f6c4f7a82f7ab1112d4473b172dede50efc | [
"MIT"
] | 10 | 2019-11-07T07:50:17.000Z | 2021-08-31T22:52:01.000Z | pyro/Enums/Event.py | rux616/pyro | 8f611f6c4f7a82f7ab1112d4473b172dede50efc | [
"MIT"
] | 12 | 2019-06-08T19:24:08.000Z | 2022-01-29T10:13:30.000Z | from enum import Enum
from typing import Union
class BuildEvent(Enum):
PRE = 0
POST = 1
class ImportEvent(Enum):
PRE = 0
POST = 1
Event = Union[BuildEvent, ImportEvent]
| 12.875 | 39 | 0.616505 | 26 | 206 | 4.884615 | 0.5 | 0.110236 | 0.125984 | 0.188976 | 0.204724 | 0 | 0 | 0 | 0 | 0 | 0 | 0.028369 | 0.315534 | 206 | 15 | 40 | 13.733333 | 0.87234 | 0 | 0 | 0.444444 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.444444 | 0 | 1.111111 | 0 | 1 | 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 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 4 |
6e4fcb497112993e10874f2400192d1dd99276e1 | 120 | py | Python | routes/api.py | hajidalakhtar/imgmstr | 1dede18570ff19375576104c6b99278f28767d1c | [
"MIT"
] | null | null | null | routes/api.py | hajidalakhtar/imgmstr | 1dede18570ff19375576104c6b99278f28767d1c | [
"MIT"
] | null | null | null | routes/api.py | hajidalakhtar/imgmstr | 1dede18570ff19375576104c6b99278f28767d1c | [
"MIT"
] | null | null | null | from fastapi import APIRouter
from src.endpoints import image
router = APIRouter()
router.include_router(image.router) | 24 | 35 | 0.825 | 16 | 120 | 6.125 | 0.5625 | 0.22449 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.108333 | 120 | 5 | 35 | 24 | 0.915888 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 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 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 4 |
2812c148ace346d2590acdfc882adcc4fe747d27 | 12,480 | py | Python | tests/integration_tests/data_steward/cdr_cleaner/cleaning_rules/temporal_consistency_test.py | lrwb-aou/curation | e80447e56d269dc2c9c8bc79e78218d4b0dc504c | [
"MIT"
] | 16 | 2017-06-30T20:05:05.000Z | 2022-03-08T21:03:19.000Z | tests/integration_tests/data_steward/cdr_cleaner/cleaning_rules/temporal_consistency_test.py | lrwb-aou/curation | e80447e56d269dc2c9c8bc79e78218d4b0dc504c | [
"MIT"
] | 342 | 2017-06-23T21:37:40.000Z | 2022-03-30T16:44:16.000Z | tests/integration_tests/data_steward/cdr_cleaner/cleaning_rules/temporal_consistency_test.py | lrwb-aou/curation | e80447e56d269dc2c9c8bc79e78218d4b0dc504c | [
"MIT"
] | 33 | 2017-07-01T00:12:20.000Z | 2022-01-26T18:06:53.000Z | """
Integration test for Temporal Consistency CR implemented in DC-400
"""
# Python imports
import os
from datetime import datetime as dt
# Project imports
import common
from app_identity import PROJECT_ID
from cdr_cleaner.cleaning_rules.temporal_consistency import TemporalConsistency, table_dates
from tests.integration_tests.data_steward.cdr_cleaner.cleaning_rules.bigquery_tests_base import BaseTest
class TemporalConsistencyTest(BaseTest.CleaningRulesTestBase):
@classmethod
def setUpClass(cls):
print('**************************************************************')
print(cls.__name__)
print('**************************************************************')
super().initialize_class_vars()
project_id = os.environ.get(PROJECT_ID)
cls.project_id = project_id
dataset_id = os.environ.get('UNIONED_DATASET_ID')
cls.dataset_id = dataset_id
sandbox_id = dataset_id + '_sandbox'
cls.sandbox_id = sandbox_id
cls.rule_instance = TemporalConsistency(project_id, dataset_id,
sandbox_id)
cls.fq_dataset_id = f'{cls.project_id}.{cls.dataset_id}'
cls.fq_sandbox_id = f'{cls.project_id}.{cls.sandbox_id}'
for table_name in list(table_dates.keys()) + [common.VISIT_OCCURRENCE]:
sandbox_table_name = cls.rule_instance.sandbox_table_for(table_name)
cls.fq_sandbox_table_names.append(
f'{cls.project_id}.{cls.sandbox_id}.{sandbox_table_name}')
cls.fq_table_names.append(
f'{cls.project_id}.{cls.dataset_id}.{table_name}')
super().setUpClass()
def test_temporal_consistency(self):
queries = []
co_insert = self.jinja_env.from_string(
"""
INSERT INTO `{{fq_table_id}}`
(condition_occurrence_id, person_id, condition_concept_id, condition_start_date,
condition_start_datetime, condition_end_date, condition_end_datetime,
condition_type_concept_id, visit_occurrence_id)
VALUES
(100, 1, 10, date('2019-05-06'), timestamp('2019-05-06 00:00:00'),
date('2019-05-19'), timestamp('2019-05-19 00:00:00'), 5, 101),
(101, 1, 11, date('2019-05-25'), timestamp('2019-05-25 00:00:00'),
date('2019-05-07'), timestamp('2019-05-07 00:00:00'), 6, 101),
(102, 1, 12, date('2019-05-06'), timestamp('2019-05-06 00:00:00'),
date('2019-05-28'), timestamp('2019-05-28 00:00:00'), 7, 101),
(103, 2, 13, date('2020-10-12'), timestamp('2021-10-12 00:00:00'),
date('2021-10-12'), timestamp('2021-10-12 00:00:00'), 8, 102),
(104, 2, 14, date('2021-10-12'), timestamp('2021-10-12 00:00:00'),
date('2021-09-12'), timestamp('2021-09-12 00:00:00'), 9, 102)"""
).render(fq_table_id=self.fq_table_names[0])
queries.append(co_insert)
dre_insert = self.jinja_env.from_string(
"""
INSERT INTO `{{fq_table_id}}`
(drug_exposure_id, person_id, drug_concept_id, drug_exposure_start_date,
drug_exposure_start_datetime, drug_exposure_end_date,
drug_exposure_end_datetime, drug_type_concept_id, visit_occurrence_id)
VALUES
(101, 1, 10, date('2019-05-06'), timestamp('2019-05-06 00:00:00'),
date('2019-05-01'), timestamp('2019-05-01 00:00:00'), 5, 101),
(102, 1, 11, date('2019-05-16'), timestamp('2019-05-16 00:00:00'),
date('2019-05-19'), timestamp('2019-05-19 00:00:00'), 6, 101),
(103, 2, 12, date('2021-10-12'), timestamp('2021-10-12 00:00:00'),
date('2021-10-10'), timestamp('2021-10-10 00:00:00'), 7, 102),
(104, 2, 10, date('2021-10-12'), timestamp('2021-10-12 00:00:00'),
date('2021-10-15'), timestamp('2021-10-15 00:00:00'), 8, 102)"""
).render(fq_table_id=self.fq_table_names[1])
queries.append(dre_insert)
dve_insert = self.jinja_env.from_string(
"""
INSERT INTO `{{fq_table_id}}`
(device_exposure_id, person_id, device_concept_id, device_exposure_start_date,
device_exposure_start_datetime, device_exposure_end_date,
device_exposure_end_datetime, device_type_concept_id, visit_occurrence_id)
VALUES
(101, 1, 4, date('2019-05-06'), timestamp('2019-05-06 00:00:00'),
date('2019-05-14'), timestamp('2019-05-14 00:00:00'), 4, 101),
(102, 1, 5, date('2019-05-10'), timestamp('2019-05-10 00:00:00'),
date('2019-05-16'), timestamp('2019-05-16 00:00:00'), 4, 101),
(103, 2, 6, date('2021-10-12'), timestamp('2021-10-12 00:00:00'),
date('2021-10-15'), timestamp('2021-10-15 00:00:00'), 4, 102),
(104, 2, 7, date('2021-10-15'), timestamp('2021-10-15 00:00:00'),
date('2021-10-10'), timestamp('2021-10-10 00:00:00'), 4, 102)"""
).render(fq_table_id=self.fq_table_names[2])
queries.append(dve_insert)
vo_insert = self.jinja_env.from_string(
"""
INSERT INTO `{{fq_table_id}}`
(visit_occurrence_id, person_id, visit_concept_id, visit_start_date,
visit_start_datetime, visit_end_date, visit_end_datetime, visit_type_concept_id)
VALUES
(101, 1, 9201, date('2019-05-06'), timestamp('2019-05-06 00:00:00'),
date('2019-05-05'), timestamp('2019-05-05 00:00:00'), 7),
(102, 2, 11, date('2021-10-12'), timestamp('2021-10-12 00:00:00'),
date('2021-10-18'), timestamp('2021-10-18 00:00:00'), 7),
(201, 2, 9201, date('2021-10-01'), timestamp('2021-10-01 00:00:00'),
date('2021-09-30'), timestamp('2021-09-30 00:00:00'), 7)"""
).render(fq_table_id=self.fq_table_names[3])
queries.append(vo_insert)
self.load_test_data(queries)
table_and_counts = [{
'fq_table_name':
self.fq_table_names[0],
'fq_sandbox_table_name':
self.fq_sandbox_table_names[0],
'loaded_ids': [100, 101, 102, 103, 104],
'sandboxed_ids': [101, 104],
'fields': [
'condition_occurrence_id', 'person_id', 'condition_concept_id',
'condition_start_date', 'condition_start_datetime',
'condition_end_date', 'condition_end_datetime',
'condition_type_concept_id', 'visit_occurrence_id'
],
'cleaned_values': [
(100, 1, 10, dt.fromisoformat('2019-05-06').date(),
dt.fromisoformat('2019-05-06 00:00:00+00:00'),
dt.fromisoformat('2019-05-19').date(),
dt.fromisoformat('2019-05-19 00:00:00+00:00'), 5, 101),
(101, 1, 11, dt.fromisoformat('2019-05-25').date(),
dt.fromisoformat('2019-05-25 00:00:00+00:00'), None,
dt.fromisoformat('2019-05-07 00:00:00+00:00'), 6, 101),
(102, 1, 12, dt.fromisoformat('2019-05-06').date(),
dt.fromisoformat('2019-05-06 00:00:00+00:00'),
dt.fromisoformat('2019-05-28').date(),
dt.fromisoformat('2019-05-28 00:00:00+00:00'), 7, 101),
(103, 2, 13, dt.fromisoformat('2020-10-12').date(),
dt.fromisoformat('2021-10-12 00:00:00+00:00'),
dt.fromisoformat('2021-10-12').date(),
dt.fromisoformat('2021-10-12 00:00:00+00:00'), 8, 102),
(104, 2, 14, dt.fromisoformat('2021-10-12').date(),
dt.fromisoformat('2021-10-12 00:00:00+00:00'), None,
dt.fromisoformat('2021-09-12 00:00:00+00:00'), 9, 102)
]
}, {
'fq_table_name':
self.fq_table_names[1],
'fq_sandbox_table_name':
self.fq_sandbox_table_names[1],
'loaded_ids': [101, 102, 103, 104],
'sandboxed_ids': [101, 103],
'fields': [
'drug_exposure_id', 'person_id', 'drug_concept_id',
'drug_exposure_start_date', 'drug_exposure_start_datetime',
'drug_exposure_end_date', 'drug_exposure_end_datetime',
'drug_type_concept_id', 'visit_occurrence_id'
],
'cleaned_values': [
(101, 1, 10, dt.fromisoformat('2019-05-06').date(),
dt.fromisoformat('2019-05-06 00:00:00+00:00'), None,
dt.fromisoformat('2019-05-01 00:00:00+00:00'), 5, 101),
(102, 1, 11, dt.fromisoformat('2019-05-16').date(),
dt.fromisoformat('2019-05-16 00:00:00+00:00'),
dt.fromisoformat('2019-05-19').date(),
dt.fromisoformat('2019-05-19 00:00:00+00:00'), 6, 101),
(103, 2, 12, dt.fromisoformat('2021-10-12').date(),
dt.fromisoformat('2021-10-12 00:00:00+00:00'), None,
dt.fromisoformat('2021-10-10 00:00:00+00:00'), 7, 102),
(104, 2, 10, dt.fromisoformat('2021-10-12').date(),
dt.fromisoformat('2021-10-12 00:00:00+00:00'),
dt.fromisoformat('2021-10-15').date(),
dt.fromisoformat('2021-10-15 00:00:00+00:00'), 8, 102)
]
}, {
'fq_table_name':
self.fq_table_names[2],
'fq_sandbox_table_name':
self.fq_sandbox_table_names[2],
'loaded_ids': [101, 102, 103, 104],
'sandboxed_ids': [104],
'fields': [
'device_exposure_id', 'person_id', 'device_concept_id',
'device_exposure_start_date', 'device_exposure_start_datetime',
'device_exposure_end_date', 'device_exposure_end_datetime',
'device_type_concept_id', 'visit_occurrence_id'
],
'cleaned_values': [
(101, 1, 4, dt.fromisoformat('2019-05-06').date(),
dt.fromisoformat('2019-05-06 00:00:00+00:00'),
dt.fromisoformat('2019-05-14').date(),
dt.fromisoformat('2019-05-14 00:00:00+00:00'), 4, 101),
(102, 1, 5, dt.fromisoformat('2019-05-10').date(),
dt.fromisoformat('2019-05-10 00:00:00+00:00'),
dt.fromisoformat('2019-05-16').date(),
dt.fromisoformat('2019-05-16 00:00:00+00:00'), 4, 101),
(103, 2, 6, dt.fromisoformat('2021-10-12').date(),
dt.fromisoformat('2021-10-12 00:00:00+00:00'),
dt.fromisoformat('2021-10-15').date(),
dt.fromisoformat('2021-10-15 00:00:00+00:00'), 4, 102),
(104, 2, 7, dt.fromisoformat('2021-10-15').date(),
dt.fromisoformat('2021-10-15 00:00:00+00:00'), None,
dt.fromisoformat('2021-10-10 00:00:00+00:00'), 4, 102)
]
}, {
'fq_table_name':
self.fq_table_names[3],
'fq_sandbox_table_name':
self.fq_sandbox_table_names[3],
'loaded_ids': [101, 102, 201],
'sandboxed_ids': [101, 201],
'fields': [
'visit_occurrence_id', 'person_id', 'visit_concept_id',
'visit_start_date', 'visit_start_datetime', 'visit_end_date',
'visit_end_datetime', 'visit_type_concept_id'
],
'cleaned_values': [
(101, 1, 9201, dt.fromisoformat('2019-05-06').date(),
dt.fromisoformat('2019-05-06 00:00:00+00:00'),
dt.fromisoformat('2019-05-28').date(),
dt.fromisoformat('2019-05-05 00:00:00+00:00'), 7),
(102, 2, 11, dt.fromisoformat('2021-10-12').date(),
dt.fromisoformat('2021-10-12 00:00:00+00:00'),
dt.fromisoformat('2021-10-18').date(),
dt.fromisoformat('2021-10-18 00:00:00+00:00'), 7),
(201, 2, 9201, dt.fromisoformat('2021-10-01').date(),
dt.fromisoformat('2021-10-01 00:00:00+00:00'),
dt.fromisoformat('2021-10-01').date(),
dt.fromisoformat('2021-09-30 00:00:00+00:00'), 7)
]
}]
self.default_test(table_and_counts)
| 52 | 104 | 0.546234 | 1,660 | 12,480 | 3.912651 | 0.081928 | 0.118245 | 0.118245 | 0.07883 | 0.79846 | 0.770131 | 0.732256 | 0.700693 | 0.622787 | 0.561663 | 0 | 0.210774 | 0.284535 | 12,480 | 239 | 105 | 52.217573 | 0.516631 | 0.007853 | 0 | 0.260606 | 0 | 0 | 0.274173 | 0.082863 | 0 | 0 | 0 | 0 | 0 | 1 | 0.012121 | false | 0 | 0.036364 | 0 | 0.054545 | 0.018182 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 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 | 4 |
282802444c81d6fc5d3c52b8e91ccb6a1be3961e | 27 | py | Python | squid/constants.py | dcdanko/urban_metagenomics_tutorial | 7cbe5420c4769de77158c91d40a73f815bd27b7a | [
"MIT"
] | 1 | 2020-03-20T19:25:16.000Z | 2020-03-20T19:25:16.000Z | squid/constants.py | dcdanko/urban_metagenomics_tutorial | 7cbe5420c4769de77158c91d40a73f815bd27b7a | [
"MIT"
] | null | null | null | squid/constants.py | dcdanko/urban_metagenomics_tutorial | 7cbe5420c4769de77158c91d40a73f815bd27b7a | [
"MIT"
] | 1 | 2020-03-20T19:25:51.000Z | 2020-03-20T19:25:51.000Z |
NO_TAXA = 'no_taxa_found'
| 9 | 25 | 0.740741 | 5 | 27 | 3.4 | 0.6 | 0.705882 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.148148 | 27 | 2 | 26 | 13.5 | 0.73913 | 0 | 0 | 0 | 0 | 0 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
28499e138521fa59aec3e51c212b45cd606200de | 154 | py | Python | soda/core/soda/execution/check_outcome.py | duyet/soda-core | 92a52e0d7c1e88624d0637123cfcb2610af6d112 | [
"Apache-2.0"
] | 4 | 2022-03-23T02:43:42.000Z | 2022-03-31T15:20:54.000Z | soda/core/soda/execution/check_outcome.py | duyet/soda-core | 92a52e0d7c1e88624d0637123cfcb2610af6d112 | [
"Apache-2.0"
] | 543 | 2022-03-22T09:02:17.000Z | 2022-03-31T16:29:41.000Z | soda/core/soda/execution/check_outcome.py | duyet/soda-core | 92a52e0d7c1e88624d0637123cfcb2610af6d112 | [
"Apache-2.0"
] | 1 | 2022-03-27T03:37:55.000Z | 2022-03-27T03:37:55.000Z | from enum import Enum
class CheckOutcome(Enum):
PASS = "pass"
WARN = "warn"
FAIL = "fail"
def __str__(self):
return self.name
| 12.833333 | 25 | 0.590909 | 19 | 154 | 4.578947 | 0.684211 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.305195 | 154 | 11 | 26 | 14 | 0.813084 | 0 | 0 | 0 | 0 | 0 | 0.077922 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0.142857 | 0.142857 | 0.142857 | 1 | 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 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 4 |
285f18caf7eba2d2753eee0fe11877346fba7996 | 122 | py | Python | atlas/gcp_utils/src/integration/__init__.py | DeepLearnI/atlas | 8aca652d7e647b4e88530b93e265b536de7055ed | [
"Apache-2.0"
] | 296 | 2020-03-16T19:55:00.000Z | 2022-01-10T19:46:05.000Z | atlas/gcp_utils/src/integration/__init__.py | DeepLearnI/atlas | 8aca652d7e647b4e88530b93e265b536de7055ed | [
"Apache-2.0"
] | 57 | 2020-03-17T11:15:57.000Z | 2021-07-10T14:42:27.000Z | atlas/gcp_utils/src/integration/__init__.py | DeepLearnI/atlas | 8aca652d7e647b4e88530b93e265b536de7055ed | [
"Apache-2.0"
] | 38 | 2020-03-17T21:06:05.000Z | 2022-02-08T03:19:34.000Z |
from uuid import uuid4
import foundations
import integration.config
from integration.test_deploy_job import TestDeployJob | 24.4 | 53 | 0.885246 | 16 | 122 | 6.625 | 0.6875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009091 | 0.098361 | 122 | 5 | 53 | 24.4 | 0.954545 | 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 | 0 | 0 | 0 | 4 |
28a21904e796102c59cc3d5ef5156a831ce91df3 | 626 | py | Python | source/NVDAObjects/IAccessible/delphi.py | raza-al-pakistani/raza-al-pakistani--v20022.3.1 | ac7febbbf4a32a476ee2f15994bbb3e77356c3ca | [
"bzip2-1.0.6"
] | null | null | null | source/NVDAObjects/IAccessible/delphi.py | raza-al-pakistani/raza-al-pakistani--v20022.3.1 | ac7febbbf4a32a476ee2f15994bbb3e77356c3ca | [
"bzip2-1.0.6"
] | null | null | null | source/NVDAObjects/IAccessible/delphi.py | raza-al-pakistani/raza-al-pakistani--v20022.3.1 | ac7febbbf4a32a476ee2f15994bbb3e77356c3ca | [
"bzip2-1.0.6"
] | null | null | null | from NVDAObjects import behaviors
import controlTypes
from . import IAccessible
class TRichView(IAccessible):
def _get_name(self):
pass
def _get_role(self):
return controlTypes.Role.STATICTEXT
class TRichViewEdit(IAccessible):
def _get_name(self):
pass
def _get_role(self):
return controlTypes.Role.EDITABLETEXT
class TGroupBox(IAccessible):
def _get_role(self):
return controlTypes.Role.GROUPING
class Form(behaviors.Dialog):
role=controlTypes.Role.DIALOG
class TabSheet(behaviors.Dialog):
role=controlTypes.Role.PROPERTYPAGE
class TRxRichEdit(IAccessible):
def _get_name(self):
return None
| 16.473684 | 39 | 0.790735 | 77 | 626 | 6.272727 | 0.337662 | 0.074534 | 0.140787 | 0.130435 | 0.540373 | 0.343685 | 0.343685 | 0.269151 | 0.269151 | 0.269151 | 0 | 0 | 0.127796 | 626 | 37 | 40 | 16.918919 | 0.884615 | 0 | 0 | 0.347826 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.26087 | false | 0.086957 | 0.130435 | 0.173913 | 0.913043 | 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 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 4 |
954750c7b6d60a3044c8e6dab917ee161df1d4f6 | 5,976 | py | Python | trimet_stop_event_api/models.py | hackoregon/provisional-transportation-api | 15a74f82f751e9bc60c00eacbe6f16bb2d8905e0 | [
"MIT"
] | 2 | 2018-05-30T18:07:16.000Z | 2019-05-06T10:01:54.000Z | trimet_stop_event_api/models.py | hackoregon/provisional-transportation-api | 15a74f82f751e9bc60c00eacbe6f16bb2d8905e0 | [
"MIT"
] | 33 | 2018-05-24T05:00:58.000Z | 2020-06-05T18:16:32.000Z | trimet_stop_event_api/models.py | hackoregon/provisional-transportation-api | 15a74f82f751e9bc60c00eacbe6f16bb2d8905e0 | [
"MIT"
] | 3 | 2018-05-24T03:38:59.000Z | 2019-07-10T18:35:31.000Z | from django.db import models
from django.contrib.gis.db import models
import django.db.models.options as options
options.DEFAULT_NAMES = options.DEFAULT_NAMES + ('in_db',)
# This is an auto-generated Django model module.
# You'll have to do the following manually to clean this up:
# * Rearrange models' order
# * Make sure each model has one field with primary_key=True
# * Make sure each ForeignKey has `on_delete` set to the desired behavior.
# * Remove `managed = False` lines if you wish to allow Django to create, modify, and delete the table
# Feel free to rename the models, but don't rename db_table values or field names.
class DisturbanceStops(models.Model):
opd_date_x = models.DateField(blank=True, null=True)
vehicle_id_x = models.IntegerField(blank=True, null=True)
event_no_x = models.IntegerField(blank=True, null=True)
event_no_course = models.IntegerField(blank=True, null=True)
meters_x = models.IntegerField(blank=True, null=True)
act_dep_time_x = models.IntegerField(blank=True, null=True)
nom_dep_time_x = models.IntegerField(blank=True, null=True)
nom_end_time = models.IntegerField(blank=True, null=True)
act_end_time = models.IntegerField(blank=True, null=True)
line_id = models.IntegerField(blank=True, null=True)
course_id = models.IntegerField(blank=True, null=True)
trip_id = models.IntegerField(blank=True, null=True)
pattern_id = models.IntegerField(blank=True, null=True)
pattern_direction = models.TextField(blank=True, null=True)
trip_type = models.IntegerField(blank=True, null=True)
pattern_quality = models.IntegerField(blank=True, null=True)
block_id = models.IntegerField(blank=True, null=True)
passenger_data = models.IntegerField(blank=True, null=True)
time_grp_id = models.IntegerField(blank=True, null=True)
trip_code = models.IntegerField(blank=True, null=True)
driver_id = models.IntegerField(blank=True, null=True)
data_source = models.IntegerField(blank=True, null=True)
is_additional_trip = models.TextField(blank=True, null=True)
trip_role = models.TextField(blank=True, null=True)
trip_subrole = models.TextField(blank=True, null=True)
event_no_y = models.IntegerField(blank=True, null=True)
event_no_trip = models.IntegerField(blank=True, null=True)
event_no_prev = models.IntegerField(blank=True, null=True)
opd_date_y = models.DateField(blank=True, null=True)
vehicle_id_y = models.IntegerField(blank=True, null=True)
meters_y = models.IntegerField(blank=True, null=True)
act_arr_time = models.IntegerField(blank=True, null=True)
act_dep_time_y = models.IntegerField(blank=True, null=True)
point_id = models.IntegerField(blank=True, null=True)
stop_pos = models.IntegerField(blank=True, null=True)
distance_to_next = models.IntegerField(blank=True, null=True)
doors_opening = models.IntegerField(blank=True, null=True)
positioning_method = models.IntegerField(blank=True, null=True)
stop_type = models.IntegerField(blank=True, null=True)
gps_longitude = models.FloatField(blank=True, null=True)
gps_latitude = models.FloatField(blank=True, null=True)
door_open_time = models.IntegerField(blank=True, null=True)
point_role = models.TextField(blank=True, null=True)
point_action = models.TextField(blank=True, null=True)
plan_status = models.TextField(blank=True, null=True)
time_diff = models.IntegerField(blank=True, null=True)
time_diff_min = models.FloatField(blank=True, null=True)
geom_4326 = models.GeometryField(blank=True, null=True)
class Meta:
managed = False
db_table = 'disturbance_stops'
in_db = 'trimet_stop_events'
class TotalOnsByHour(models.Model):
service_date = models.DateField(blank=True, null=True)
service_key = models.TextField(blank=True, null=True)
weekday = models.TextField(blank=True, null=True)
hour_of_day = models.DecimalField(max_digits=65535, decimal_places=65535, blank=True, null=True)
total_ons = models.BigIntegerField(blank=True, null=True)
class Meta:
managed = False
db_table = 'total_ons_by_hour'
in_db = 'trimet_stop_events'
class TrimetStopEvents(models.Model):
service_date = models.DateField(blank=True, null=True)
vehicle_number = models.IntegerField(blank=True, null=True)
train = models.IntegerField(blank=True, null=True)
route_number = models.IntegerField(blank=True, null=True)
direction = models.IntegerField(blank=True, null=True)
trip_number = models.IntegerField(blank=True, null=True)
service_key = models.TextField(blank=True, null=True)
stop_time = models.IntegerField(blank=True, null=True)
arrive_time = models.IntegerField(blank=True, null=True)
seconds_late = models.IntegerField(blank=True, null=True)
leave_time = models.IntegerField(blank=True, null=True)
dwell = models.IntegerField(blank=True, null=True)
location_id = models.IntegerField(blank=True, null=True)
door = models.IntegerField(blank=True, null=True)
lift = models.IntegerField(blank=True, null=True)
ons = models.IntegerField(blank=True, null=True)
offs = models.IntegerField(blank=True, null=True)
estimated_load = models.IntegerField(blank=True, null=True)
train_mileage = models.FloatField(blank=True, null=True)
from_location = models.IntegerField(blank=True, null=True)
mileage_there = models.FloatField(blank=True, null=True)
left_there = models.IntegerField(blank=True, null=True)
travel_miles = models.FloatField(blank=True, null=True)
travel_seconds = models.IntegerField(blank=True, null=True)
x_coordinate = models.FloatField(blank=True, null=True)
y_coordinate = models.FloatField(blank=True, null=True)
geom_point_4326 = models.GeometryField(blank=True, null=True)
class Meta:
managed = False
db_table = 'trimet_stop_events'
in_db = 'trimet_stop_events'
| 49.38843 | 104 | 0.743641 | 823 | 5,976 | 5.250304 | 0.206561 | 0.166628 | 0.240685 | 0.314742 | 0.758852 | 0.746124 | 0.524647 | 0.249479 | 0.15066 | 0.111548 | 0 | 0.003538 | 0.148594 | 5,976 | 120 | 105 | 49.8 | 0.845715 | 0.075803 | 0 | 0.131313 | 0 | 0 | 0.020127 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.010101 | 0.030303 | 0 | 0.89899 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 |
954824ac2092e776f593f0f7aa406e89d1893e0d | 2,301 | py | Python | python/oneflow/framework/blob_trait.py | Zhangchangh/oneflow | 4ea3935458cc83dcea0abd88dd613f09c57dc01a | [
"Apache-2.0"
] | 1 | 2021-09-13T02:34:53.000Z | 2021-09-13T02:34:53.000Z | python/oneflow/framework/blob_trait.py | Zhangchangh/oneflow | 4ea3935458cc83dcea0abd88dd613f09c57dc01a | [
"Apache-2.0"
] | null | null | null | python/oneflow/framework/blob_trait.py | Zhangchangh/oneflow | 4ea3935458cc83dcea0abd88dd613f09c57dc01a | [
"Apache-2.0"
] | 1 | 2021-01-17T03:34:39.000Z | 2021-01-17T03:34:39.000Z | """
Copyright 2020 The OneFlow Authors. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
import oneflow
def __add__(self, rhs):
return oneflow.math.add(self, rhs)
def __radd__(self, lhs):
return oneflow.math.add(lhs, self)
def __sub__(self, rhs):
return oneflow.math.subtract(self, rhs)
def __rsub__(self, lhs):
return oneflow.math.subtract(lhs, self)
def __mul__(self, rhs):
return oneflow.math.multiply(self, rhs)
def __rmul__(self, lhs):
return oneflow.math.multiply(lhs, self)
def __truediv__(self, rhs):
return oneflow.math.divide(self, rhs)
def __rtruediv__(self, lhs):
return oneflow.math.divide(lhs, self)
def __div__(self, rhs):
return oneflow.math.divide(self, rhs)
def __mod__(self, rhs):
return oneflow.math.mod(self, rhs)
def __eq__(self, rhs):
return oneflow.math.equal(self, rhs)
def __ne__(self, rhs):
return oneflow.math.not_equal(self, rhs)
def __lt__(self, rhs):
return oneflow.math.less(self, rhs)
def __le__(self, rhs):
return oneflow.math.less_equal(self, rhs)
def __gt__(self, rhs):
return oneflow.math.greater(self, rhs)
def __ge__(self, rhs):
return oneflow.math.greater_equal(self, rhs)
def RegisterBlobOperatorTraitMethod(blob_class):
blob_class.__add__ = __add__
blob_class.__radd__ = __radd__
blob_class.__sub__ = __sub__
blob_class.__rsub__ = __rsub__
blob_class.__mul__ = __mul__
blob_class.__rmul__ = __rmul__
blob_class.__truediv__ = __truediv__
blob_class.__rtruediv__ = __rtruediv__
blob_class.__div__ = __div__
blob_class.__mod__ = __mod__
blob_class.__eq__ = __eq__
blob_class.__ne__ = __ne__
blob_class.__lt__ = __lt__
blob_class.__le__ = __le__
blob_class.__gt__ = __gt__
blob_class.__ge__ = __ge__
| 23.01 | 72 | 0.73229 | 327 | 2,301 | 4.504587 | 0.299694 | 0.114053 | 0.184657 | 0.162933 | 0.297352 | 0.13442 | 0.054311 | 0.054311 | 0.054311 | 0 | 0 | 0.004219 | 0.17601 | 2,301 | 99 | 73 | 23.242424 | 0.772679 | 0.252499 | 0 | 0.04 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.34 | false | 0 | 0.02 | 0.32 | 0.68 | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 |
956f8ddc9fb72f072f98a9f1ab8ff44495b8ba94 | 1,253 | py | Python | pyehr/ehr/services/dbmanager/errors.py | madineniguna/EHR | 54ab760ca9a52e5c6c32b861ad6cbce41075d59f | [
"MIT"
] | 23 | 2015-01-29T00:15:05.000Z | 2021-01-23T18:21:00.000Z | pyehr/ehr/services/dbmanager/errors.py | madineniguna/EHR | 54ab760ca9a52e5c6c32b861ad6cbce41075d59f | [
"MIT"
] | 2 | 2015-07-22T13:58:00.000Z | 2017-05-02T15:40:33.000Z | pyehr/ehr/services/dbmanager/errors.py | madineniguna/EHR | 54ab760ca9a52e5c6c32b861ad6cbce41075d59f | [
"MIT"
] | 7 | 2015-07-10T13:02:01.000Z | 2021-02-19T10:51:52.000Z | class DBManagerNotConnectedError(Exception):
pass
class CascadeDeleteError(Exception):
pass
class DuplicatedKeyError(Exception):
pass
class InvalidRecordTypeError(Exception):
pass
class InvalidJsonStructureError(Exception):
pass
class UnknownDriverError(Exception):
pass
class IndexServiceConnectionError(Exception):
pass
class ConfigurationError(Exception):
pass
class PredicateException(Exception):
def __init__(self, value):
self.value = value
def __str__(self):
return repr(self.value)
class ParseSimpleExpressionException(Exception):
def __init__(self, value):
self.value = value
def __str__(self):
return repr(self.value)
class MissingOperatorError(Exception):
pass
class MissingLocationExpressionError(Exception):
pass
class InvalidFieldError(Exception):
pass
class OptimisticLockError(Exception):
pass
class RedundantUpdateError(Exception):
pass
class RecordRestoreFailedError(Exception):
pass
class RecordRestoreUnnecessaryError(Exception):
pass
class MissingRevisionError(Exception):
pass
class OperationNotAllowedError(Exception):
pass
class QueryCreationException(Exception):
pass
| 14.402299 | 48 | 0.743017 | 106 | 1,253 | 8.632075 | 0.283019 | 0.255738 | 0.334426 | 0.043716 | 0.159563 | 0.159563 | 0.159563 | 0.159563 | 0.159563 | 0.159563 | 0 | 0 | 0.189944 | 1,253 | 86 | 49 | 14.569767 | 0.901478 | 0 | 0 | 0.565217 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0.391304 | 0 | 0.043478 | 0.565217 | 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 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 |
959db8ad7270bdbf9765a194ef5b8687d60b6366 | 215 | py | Python | setup.py | kingbase/AnomalyDetection | 14e6d029adf906791fb5d4a6c06251c69e3ca20e | [
"Apache-2.0"
] | null | null | null | setup.py | kingbase/AnomalyDetection | 14e6d029adf906791fb5d4a6c06251c69e3ca20e | [
"Apache-2.0"
] | null | null | null | setup.py | kingbase/AnomalyDetection | 14e6d029adf906791fb5d4a6c06251c69e3ca20e | [
"Apache-2.0"
] | null | null | null | from setuptools import setup
setup(
name="anomaly_detection",
packages=["anomaly_detection"],
version="0.0.2",
description="A python implementation of https://github.com/twitter/AnomalyDetection",
) | 26.875 | 89 | 0.730233 | 25 | 215 | 6.2 | 0.84 | 0.206452 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016216 | 0.139535 | 215 | 8 | 90 | 26.875 | 0.821622 | 0 | 0 | 0 | 0 | 0 | 0.50463 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.142857 | 0 | 0.142857 | 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 | 0 | 0 | 0 | 0 | 0 | 4 |
95b0fa3522565e04a77137206085cf90a051d16b | 91 | py | Python | hongguan/apps.py | bizeasy17/investtrack | 3840948896573f3906a5df80ea80859a492f4133 | [
"MIT"
] | null | null | null | hongguan/apps.py | bizeasy17/investtrack | 3840948896573f3906a5df80ea80859a492f4133 | [
"MIT"
] | 3 | 2021-07-15T13:23:28.000Z | 2021-12-09T03:32:16.000Z | hongguan/apps.py | bizeasy17/investtrack | 3840948896573f3906a5df80ea80859a492f4133 | [
"MIT"
] | 1 | 2021-08-19T14:42:59.000Z | 2021-08-19T14:42:59.000Z | from django.apps import AppConfig
class HongguanConfig(AppConfig):
name = 'hongguan'
| 15.166667 | 33 | 0.758242 | 10 | 91 | 6.9 | 0.9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.164835 | 91 | 5 | 34 | 18.2 | 0.907895 | 0 | 0 | 0 | 0 | 0 | 0.087912 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 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 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 4 |
95beb45ab5722451f82600668e458038dec3c64c | 85 | py | Python | submissions-api/app/__init__.py | sanger-tol/tol-submissions | 8dbbfaa98b1dfa09a09cb54cf1b2eb9d1dca5331 | [
"MIT"
] | null | null | null | submissions-api/app/__init__.py | sanger-tol/tol-submissions | 8dbbfaa98b1dfa09a09cb54cf1b2eb9d1dca5331 | [
"MIT"
] | null | null | null | submissions-api/app/__init__.py | sanger-tol/tol-submissions | 8dbbfaa98b1dfa09a09cb54cf1b2eb9d1dca5331 | [
"MIT"
] | null | null | null | # SPDX-FileCopyrightText: 2021 Genome Research Ltd.
#
# SPDX-License-Identifier: MIT
| 21.25 | 51 | 0.776471 | 10 | 85 | 6.6 | 0.9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.053333 | 0.117647 | 85 | 3 | 52 | 28.333333 | 0.826667 | 0.917647 | 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 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
95c3fea2af385dca87865ea3fe478db698858ac5 | 428 | py | Python | bot/implementation.py | LHGames-2018/DCI4espaces | 0b5dfed8b99d07f3f13ef4b9861494155922bc8b | [
"MIT"
] | null | null | null | bot/implementation.py | LHGames-2018/DCI4espaces | 0b5dfed8b99d07f3f13ef4b9861494155922bc8b | [
"MIT"
] | null | null | null | bot/implementation.py | LHGames-2018/DCI4espaces | 0b5dfed8b99d07f3f13ef4b9861494155922bc8b | [
"MIT"
] | null | null | null | # Insert here all custom implementation for the bot.
from helper import *
def distance(a, b):
return abs(b.x - a.x) + abs(b.y - a.y)
def distanceTo(target):
return lambda tile: distance(tile.Position, target)
def sort_by_distance(tile_list, current_point):
return sorted(tile_list, key=distanceTo(current_point))
def get_closest(tile_list, current_point):
return sort_by_distance(tile_list, current_point)[0] | 30.571429 | 59 | 0.75 | 68 | 428 | 4.529412 | 0.5 | 0.103896 | 0.146104 | 0.194805 | 0.324675 | 0.220779 | 0.220779 | 0 | 0 | 0 | 0 | 0.002732 | 0.14486 | 428 | 14 | 60 | 30.571429 | 0.838798 | 0.116822 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.444444 | false | 0 | 0.111111 | 0.444444 | 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 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 4 |
95c76036ab11d86e6a11c58fd789016ccf8e16ea | 120 | py | Python | src/typeDefs/transformer.py | nagasudhirpulla/wrldc_codebook | 8fbc795074e16e2012b29ae875b99aa721a7f021 | [
"MIT"
] | null | null | null | src/typeDefs/transformer.py | nagasudhirpulla/wrldc_codebook | 8fbc795074e16e2012b29ae875b99aa721a7f021 | [
"MIT"
] | 21 | 2021-01-08T18:03:32.000Z | 2021-02-02T16:17:34.000Z | src/typeDefs/transformer.py | nagasudhirpulla/wrldc_codebook | 8fbc795074e16e2012b29ae875b99aa721a7f021 | [
"MIT"
] | null | null | null | from src.typeDefs.element import IElement
class ITransformer(IElement):
mvaCapacity: str
transformerType: str
| 17.142857 | 41 | 0.775 | 13 | 120 | 7.153846 | 0.846154 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.166667 | 120 | 6 | 42 | 20 | 0.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.25 | 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 | 0 | 0 | 1 | 0 | 0 | 4 |
95cde57cbcb2721688520306c54a462a8afc4d2d | 159 | py | Python | clearcache/utils.py | fabianhoward/django-clearcache | fdd544239b80aa1f8f35056bb109284ebd1bc301 | [
"MIT"
] | 26 | 2020-01-22T09:01:17.000Z | 2022-02-20T16:07:31.000Z | clearcache/utils.py | fabianhoward/django-clearcache | fdd544239b80aa1f8f35056bb109284ebd1bc301 | [
"MIT"
] | 7 | 2020-10-15T07:28:41.000Z | 2021-04-15T11:58:05.000Z | clearcache/utils.py | fabianhoward/django-clearcache | fdd544239b80aa1f8f35056bb109284ebd1bc301 | [
"MIT"
] | 10 | 2020-04-28T15:14:30.000Z | 2022-03-21T08:46:20.000Z | from django.conf import settings
from django.core.cache import caches
def clear_cache(cache_name):
assert settings.CACHES
caches[cache_name].clear()
| 19.875 | 36 | 0.779874 | 23 | 159 | 5.26087 | 0.521739 | 0.165289 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.144654 | 159 | 7 | 37 | 22.714286 | 0.889706 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2 | 1 | 0.2 | false | 0 | 0.4 | 0 | 0.6 | 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 | 0 | 1 | 0 | 0 | 4 |
2504290b78925d23db34256158ed3138efe3aff6 | 2,571 | py | Python | Project/migrations/0004_comment_reply_project_comments_project_pics_project_tags.py | sabreensalama/Cloud-Devops-Capstone | a42c2bd1a9222f7834f579842308ba584b7f5f6e | [
"MIT"
] | null | null | null | Project/migrations/0004_comment_reply_project_comments_project_pics_project_tags.py | sabreensalama/Cloud-Devops-Capstone | a42c2bd1a9222f7834f579842308ba584b7f5f6e | [
"MIT"
] | 14 | 2020-05-30T12:45:46.000Z | 2022-03-12T00:32:54.000Z | Project/migrations/0004_comment_reply_project_comments_project_pics_project_tags.py | sabreensalama/Cloud-Devops-Capstone | a42c2bd1a9222f7834f579842308ba584b7f5f6e | [
"MIT"
] | null | null | null | # Generated by Django 2.2.11 on 2020-03-18 20:48
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('Project', '0003_auto_20200318_2024'),
]
operations = [
migrations.CreateModel(
name='Project_tags',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('title', models.CharField(max_length=100)),
('created_at', models.DateTimeField(auto_now_add=True)),
('updated_at', models.DateTimeField(auto_now=True)),
('prj_tag', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='tproject', to='Project.Projects')),
],
),
migrations.CreateModel(
name='Project_pics',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('picture', models.ImageField(upload_to='')),
('created_at', models.DateTimeField(auto_now_add=True)),
('updated_at', models.DateTimeField(auto_now=True)),
('prj_pic', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='oproject', to='Project.Projects')),
],
),
migrations.CreateModel(
name='Project_comments',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('title', models.CharField(max_length=100)),
('created_at', models.DateTimeField(auto_now_add=True)),
('updated_at', models.DateTimeField(auto_now=True)),
('prj_comment', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='cproject', to='Project.Projects')),
],
),
migrations.CreateModel(
name='comment_reply',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('reply', models.CharField(max_length=100)),
('created_at', models.DateTimeField(auto_now_add=True)),
('updated_at', models.DateTimeField(auto_now=True)),
('comment', models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, related_name='comment', to='Project.Project_comments')),
],
),
]
| 46.745455 | 150 | 0.600545 | 265 | 2,571 | 5.618868 | 0.260377 | 0.042982 | 0.112827 | 0.134318 | 0.752183 | 0.752183 | 0.723976 | 0.65816 | 0.65816 | 0.625923 | 0 | 0.0215 | 0.258265 | 2,571 | 54 | 151 | 47.611111 | 0.759308 | 0.017892 | 0 | 0.625 | 1 | 0 | 0.133175 | 0.018629 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.041667 | 0 | 0.104167 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 4 |
251972302537212feab8486644509d781ed0f9b7 | 161 | py | Python | venv/lib/python2.7/site-packages/nano-1.0a3-py2.7.egg/nano/comments/__init__.py | 784134748/kubernetes-install | 5df59632c2619632e422948b667fb68eab9ff5be | [
"MIT"
] | null | null | null | venv/lib/python2.7/site-packages/nano-1.0a3-py2.7.egg/nano/comments/__init__.py | 784134748/kubernetes-install | 5df59632c2619632e422948b667fb68eab9ff5be | [
"MIT"
] | 1 | 2021-04-30T20:41:19.000Z | 2021-04-30T20:41:19.000Z | venv/lib/python2.7/site-packages/nano-1.0a3-py2.7.egg/nano/comments/__init__.py | 784134748/kubernetes-install | 5df59632c2619632e422948b667fb68eab9ff5be | [
"MIT"
] | null | null | null | from django.conf import settings
default_app_config = 'nano.comments.apps.NanoCommentsConfig'
COMMENT_MAX_LENGTH = getattr(settings,'COMMENT_MAX_LENGTH',3000)
| 26.833333 | 64 | 0.838509 | 21 | 161 | 6.142857 | 0.809524 | 0.155039 | 0.248062 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.026846 | 0.074534 | 161 | 5 | 65 | 32.2 | 0.838926 | 0 | 0 | 0 | 0 | 0 | 0.341615 | 0.229814 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 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 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 4 |
251c8efebe3fc1d684de8db342e32422f2356e08 | 228 | py | Python | persons/admin.py | joselpadronc/CRUD_Persons | efce0fbce4af956fc39dd2b6ef668803ab1373f9 | [
"MIT"
] | 2 | 2020-11-14T12:04:39.000Z | 2020-11-14T18:39:30.000Z | persons/admin.py | joselpadronc/CRUD_Persons | efce0fbce4af956fc39dd2b6ef668803ab1373f9 | [
"MIT"
] | null | null | null | persons/admin.py | joselpadronc/CRUD_Persons | efce0fbce4af956fc39dd2b6ef668803ab1373f9 | [
"MIT"
] | 1 | 2021-03-17T09:09:39.000Z | 2021-03-17T09:09:39.000Z | from django.contrib import admin
from .models import Person
# Register your models here.
class PersonsAdmin(admin.ModelAdmin):
list_display = ['name', 'id_card', 'nationality', 'age']
admin.site.register(Person, PersonsAdmin) | 28.5 | 57 | 0.77193 | 29 | 228 | 6 | 0.724138 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.109649 | 228 | 8 | 58 | 28.5 | 0.857143 | 0.114035 | 0 | 0 | 0 | 0 | 0.124378 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.4 | 0 | 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 | 0 | 1 | 0 | 0 | 4 |
252c1c75bc7ed611f20ff0fe6ab666cb43097d6d | 79 | py | Python | test/test_positions_of_large_groups.py | spencercjh/sync-leetcode-today-problem-python3-example | 4957e5eadb697334741df0fc297bec2edaa9e2ab | [
"Apache-2.0"
] | null | null | null | test/test_positions_of_large_groups.py | spencercjh/sync-leetcode-today-problem-python3-example | 4957e5eadb697334741df0fc297bec2edaa9e2ab | [
"Apache-2.0"
] | null | null | null | test/test_positions_of_large_groups.py | spencercjh/sync-leetcode-today-problem-python3-example | 4957e5eadb697334741df0fc297bec2edaa9e2ab | [
"Apache-2.0"
] | null | null | null | solution = PositionsOfLargeGroups()
assert X == solution.largeGroupPositions( ) | 39.5 | 43 | 0.810127 | 6 | 79 | 10.666667 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.088608 | 79 | 2 | 43 | 39.5 | 0.888889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
253bfb3d83e19639ec385e4778e4ad42135dde44 | 49 | py | Python | pleque/__init__.py | kripnerl/pleque | af351c4aa4a40aa5bb5bdaa8083575344c0827e2 | [
"MIT"
] | 13 | 2018-11-08T11:59:37.000Z | 2022-03-14T20:17:38.000Z | pleque/__init__.py | kripnerl/pleque | af351c4aa4a40aa5bb5bdaa8083575344c0827e2 | [
"MIT"
] | 18 | 2018-07-31T12:17:37.000Z | 2020-05-19T08:36:42.000Z | pleque/__init__.py | kripnerl/pleque | af351c4aa4a40aa5bb5bdaa8083575344c0827e2 | [
"MIT"
] | 3 | 2018-08-26T07:50:04.000Z | 2021-12-03T11:44:57.000Z | __version__ = '0.0.5'
from pleque.core import *
| 12.25 | 25 | 0.693878 | 8 | 49 | 3.75 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.073171 | 0.163265 | 49 | 3 | 26 | 16.333333 | 0.658537 | 0 | 0 | 0 | 0 | 0 | 0.102041 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 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 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 4 |
254b143a885ec60ae6b4beb93e974509eadb0c73 | 809 | py | Python | 8_kyu/find_difference.py | resulemreaygan/codewars | 153c6cc8b285164ff0ebea1c041949be0ebeb925 | [
"MIT"
] | null | null | null | 8_kyu/find_difference.py | resulemreaygan/codewars | 153c6cc8b285164ff0ebea1c041949be0ebeb925 | [
"MIT"
] | null | null | null | 8_kyu/find_difference.py | resulemreaygan/codewars | 153c6cc8b285164ff0ebea1c041949be0ebeb925 | [
"MIT"
] | null | null | null | from functools import reduce
"""
Author: Resul Emre AYGAN
"""
"""
Project Description: Difference of Volumes of Cuboids
In this simple exercise, you will create a program that will take two lists of integers, a and b.
Each list will consist of 3 positive integers above 0, representing the dimensions of cuboids a and b.
You must find the difference of the cuboids' volumes regardless of which is bigger.
For example, if the parameters passed are ([2, 2, 3], [5, 4, 1]), the volume of a is 12 and the volume of b is 20.
Therefore, the function should return 8.
Your function will be tested with pre-made examples as well as random ones.
If you can, try writing it in one line of code.
"""
def find_difference(a, b):
return abs(reduce((lambda x, y: x * y), a) - reduce((lambda x, y: x * y), b))
| 32.36 | 115 | 0.723115 | 144 | 809 | 4.055556 | 0.604167 | 0.013699 | 0.017123 | 0.047945 | 0.054795 | 0.054795 | 0 | 0 | 0 | 0 | 0 | 0.020031 | 0.197775 | 809 | 24 | 116 | 33.708333 | 0.879815 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.333333 | 0.333333 | 1 | 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 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 4 |
2559a0bfac7faf6c5b6d9b231a8833074fd7b6fd | 388 | py | Python | prnu_copy_attack/extract/__init__.py | frassom/prnu-copy-attack | 234c9579e423bcd214c00281eb2dfdc4f3273438 | [
"MIT"
] | null | null | null | prnu_copy_attack/extract/__init__.py | frassom/prnu-copy-attack | 234c9579e423bcd214c00281eb2dfdc4f3273438 | [
"MIT"
] | null | null | null | prnu_copy_attack/extract/__init__.py | frassom/prnu-copy-attack | 234c9579e423bcd214c00281eb2dfdc4f3273438 | [
"MIT"
] | 1 | 2021-07-03T21:36:13.000Z | 2021-07-03T21:36:13.000Z | # Copyright (c) 2021 Marco Frassineti
#
# Licensed under the MIT license: https://opensource.org/licenses/MIT
# Permission is granted to use, copy, modify, and redistribute the work.
# Full license information available in the project LICENSE file.
from .prnu import extract_prnu_single
from .prnu import extract_prnu
from .prnu import extract_prnu_var
from .noise import extract_noise
| 32.333333 | 72 | 0.801546 | 57 | 388 | 5.350877 | 0.649123 | 0.170492 | 0.137705 | 0.206557 | 0.245902 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011976 | 0.139175 | 388 | 11 | 73 | 35.272727 | 0.901198 | 0.613402 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 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 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 4 |
c2639447056ae6ca9def5af4f1c2dfd220b70424 | 28 | py | Python | data/studio21_generated/introductory/3547/starter_code.py | vijaykumawat256/Prompt-Summarization | 614f5911e2acd2933440d909de2b4f86653dc214 | [
"Apache-2.0"
] | null | null | null | data/studio21_generated/introductory/3547/starter_code.py | vijaykumawat256/Prompt-Summarization | 614f5911e2acd2933440d909de2b4f86653dc214 | [
"Apache-2.0"
] | null | null | null | data/studio21_generated/introductory/3547/starter_code.py | vijaykumawat256/Prompt-Summarization | 614f5911e2acd2933440d909de2b4f86653dc214 | [
"Apache-2.0"
] | null | null | null | def odd_ones_out(numbers):
| 14 | 26 | 0.785714 | 5 | 28 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.107143 | 28 | 2 | 27 | 14 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
c265103e37758ccd549693fe714ce9ea21221b2c | 336 | py | Python | emptytime/notice/admin.py | hyeongonkim/OSS-emptytime | fee91bcf2533ee6ae6220efeb2c87bda4d9d8092 | [
"MIT"
] | null | null | null | emptytime/notice/admin.py | hyeongonkim/OSS-emptytime | fee91bcf2533ee6ae6220efeb2c87bda4d9d8092 | [
"MIT"
] | 2 | 2021-06-04T23:45:05.000Z | 2021-06-10T20:11:57.000Z | emptytime/notice/admin.py | hyeongonkim/OSS-emptytime | fee91bcf2533ee6ae6220efeb2c87bda4d9d8092 | [
"MIT"
] | 2 | 2021-04-04T14:23:59.000Z | 2021-04-07T07:35:31.000Z | from django.contrib import admin
from django.contrib import admin
# models에서 BlogData를 import 해옵니다.
from .models import TitleData, Mytag, KmTitle, RecentTagLink
# 아래의 코드를 입력하면 BlogData를 admin 페이지에서 관리할 수 있습니다.
admin.site.register(TitleData)
admin.site.register(KmTitle)
admin.site.register(RecentTagLink)
admin.site.register(Mytag)
| 25.846154 | 61 | 0.809524 | 46 | 336 | 5.913043 | 0.478261 | 0.132353 | 0.25 | 0.169118 | 0.205882 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.113095 | 336 | 12 | 62 | 28 | 0.912752 | 0.232143 | 0 | 0.285714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.428571 | 0 | 0.428571 | 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 | 0 | 0 | 0 | 4 |
c26f5b1dd7c09d72004fc78bc660029d32b4ce53 | 125 | py | Python | cvxpy/reductions/dgp2dcp/atom_canonicalizers/xexp_canon.py | QiuWJX/cvxpy | fd1c225b0cdf541618e292cae1a4c7ea25ddc934 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | cvxpy/reductions/dgp2dcp/atom_canonicalizers/xexp_canon.py | QiuWJX/cvxpy | fd1c225b0cdf541618e292cae1a4c7ea25ddc934 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | cvxpy/reductions/dgp2dcp/atom_canonicalizers/xexp_canon.py | QiuWJX/cvxpy | fd1c225b0cdf541618e292cae1a4c7ea25ddc934 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | from cvxpy.atoms.elementwise.exp import exp
def xexp_canon(expr, args):
del expr
return args[0] + exp(args[0]), []
| 17.857143 | 43 | 0.672 | 20 | 125 | 4.15 | 0.7 | 0.120482 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019802 | 0.192 | 125 | 6 | 44 | 20.833333 | 0.80198 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 4 |
c28dabb7ab3fd0769455ebf47c921a191f4a40fd | 1,098 | py | Python | src/main/python/programmingtheiot/cda/system/BaseSystemUtilTask.py | xinhaiwang/piot-python-components | 8c342aa464ce7c377328c45a3f608cd602a274f5 | [
"MIT"
] | null | null | null | src/main/python/programmingtheiot/cda/system/BaseSystemUtilTask.py | xinhaiwang/piot-python-components | 8c342aa464ce7c377328c45a3f608cd602a274f5 | [
"MIT"
] | null | null | null | src/main/python/programmingtheiot/cda/system/BaseSystemUtilTask.py | xinhaiwang/piot-python-components | 8c342aa464ce7c377328c45a3f608cd602a274f5 | [
"MIT"
] | null | null | null | import programmingtheiot.common.ConfigConst as ConfigConst
import logging
from programmingtheiot.data.SensorData import SensorData
class BaseSystemUtilTask():
"""
Shell representation of class for student implementation.
"""
def __init__(self, sensorName=ConfigConst.NOT_SET):
###
# TODO: fill in the details here
self.latestSensorData = None
pass
def __init__(self, name=ConfigConst.NOT_SET, typeID=ConfigConst.DEFAULT_SENSOR_TYPE):
self.name = name
self.typeID = typeID
def getName(self):
return self.name
def getTypeID(self):
return self.typeID
def generateTelemetry(self) -> SensorData:
###
# TODO: fill in the details here
#
# NOTE: Use self._getSystemUtil() to retrieve the value from the sub-class
pass
def getTelemetryValue(self):
val = self._getSystemUtil()
logging.info(self.__class__.__name__, val)
return val
def getTelemetryValue(self) -> float:
pass
def _getSystemUtil(self) -> float:
"""
Template method implemented by sub-class.
Retrieve the system utilization value as a float.
@return float
"""
pass
| 20.716981 | 86 | 0.733151 | 133 | 1,098 | 5.879699 | 0.443609 | 0.026854 | 0.028133 | 0.033248 | 0.061381 | 0.061381 | 0 | 0 | 0 | 0 | 0 | 0 | 0.177596 | 1,098 | 52 | 87 | 21.115385 | 0.866002 | 0.274135 | 0 | 0.166667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019231 | 0 | 1 | 0.333333 | false | 0.166667 | 0.125 | 0.083333 | 0.625 | 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 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 |
c29419724451c31efb1c9a8f7aa5c86e0a0fb3c7 | 237 | py | Python | tasknum.py | pivandco/university | 61ec6ee1af4469b4ce65987b06d6113e098c4041 | [
"Unlicense"
] | 2 | 2021-04-28T08:51:54.000Z | 2021-08-14T08:07:15.000Z | tasknum.py | pivandco/university | 61ec6ee1af4469b4ce65987b06d6113e098c4041 | [
"Unlicense"
] | 1 | 2021-05-17T15:44:27.000Z | 2021-05-17T15:44:27.000Z | tasknum.py | pivandco/university | 61ec6ee1af4469b4ce65987b06d6113e098c4041 | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python3
variant = int(input("Variant: "))
tasks = int(input("Tasks: "))
print("+12:", variant % tasks, (variant + 12) % tasks)
print("+13:", variant % tasks, (variant + 13) % tasks)
print("Press Enter to exit...")
input()
| 29.625 | 54 | 0.624473 | 32 | 237 | 4.625 | 0.46875 | 0.243243 | 0.256757 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.044118 | 0.139241 | 237 | 7 | 55 | 33.857143 | 0.681373 | 0.088608 | 0 | 0 | 0 | 0 | 0.213953 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.5 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 4 |
6c167f25cfe5f6c7093e8eca87ccdae7047b183b | 166 | py | Python | end_to_end_tests/golden-record/my_test_api_client/models/different_enum.py | oterrier/openapi-python-client | ca8acdbe34b11584143b78afc130684f0690d5bf | [
"MIT"
] | 172 | 2020-02-15T20:14:16.000Z | 2021-06-09T07:09:15.000Z | end_to_end_tests/golden-record/my_test_api_client/models/different_enum.py | oterrier/openapi-python-client | ca8acdbe34b11584143b78afc130684f0690d5bf | [
"MIT"
] | 410 | 2020-02-15T19:39:29.000Z | 2021-06-09T19:28:57.000Z | end_to_end_tests/golden-record/my_test_api_client/models/different_enum.py | oterrier/openapi-python-client | ca8acdbe34b11584143b78afc130684f0690d5bf | [
"MIT"
] | 38 | 2020-04-12T09:36:27.000Z | 2021-06-11T08:57:07.000Z | from enum import Enum
class DifferentEnum(str, Enum):
DIFFERENT = "DIFFERENT"
OTHER = "OTHER"
def __str__(self) -> str:
return str(self.value)
| 16.6 | 31 | 0.638554 | 20 | 166 | 5.1 | 0.6 | 0.137255 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.253012 | 166 | 9 | 32 | 18.444444 | 0.822581 | 0 | 0 | 0 | 0 | 0 | 0.084337 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.166667 | 0.166667 | 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 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 4 |
6c399f02c31a728122564227e88235d78c8567ed | 440 | py | Python | object_modeler/__init__.py | KeyStorke/ObjectModeler | 59ba6ffdaf55502a022c53350ab665527651b238 | [
"MIT"
] | 6 | 2017-11-18T14:37:03.000Z | 2019-10-26T19:53:17.000Z | object_modeler/__init__.py | KeyStorke/ObjectModeler | 59ba6ffdaf55502a022c53350ab665527651b238 | [
"MIT"
] | null | null | null | object_modeler/__init__.py | KeyStorke/ObjectModeler | 59ba6ffdaf55502a022c53350ab665527651b238 | [
"MIT"
] | null | null | null | from object_modeler.common import Field
from object_modeler.dict_object_model import GenericDictObjectModel, ObjectModel
from object_modeler.slots_object_model import GenericSlotsObjectModel, SlotsObjectModel, SlotsObjectModelKwargs
from object_modeler.yaml_model import load_model
__all__ = ['GenericSlotsObjectModel', 'GenericDictObjectModel', 'ObjectModel', 'Field',
'SlotsObjectModel', 'SlotsObjectModelKwargs', load_model]
| 55 | 111 | 0.845455 | 42 | 440 | 8.5 | 0.404762 | 0.112045 | 0.190476 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.090909 | 440 | 7 | 112 | 62.857143 | 0.8925 | 0 | 0 | 0 | 0 | 0 | 0.225 | 0.152273 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.666667 | 0 | 0.666667 | 0 | 0 | 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 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 4 |
6c4032df7b361b78d0bf7859bd721697bad8e9be | 70 | py | Python | treeSet/first.py | vishnupsingh523/java-carnival-learning | 76b802542092280cd0e149ecd8eb350e9cdf4960 | [
"MIT"
] | 1 | 2021-01-23T04:28:07.000Z | 2021-01-23T04:28:07.000Z | treeSet/first.py | vishnupsingh523/java-learning-carnival | c5c78ea068147c5239eedeb3443bd049f654306b | [
"MIT"
] | null | null | null | treeSet/first.py | vishnupsingh523/java-learning-carnival | c5c78ea068147c5239eedeb3443bd049f654306b | [
"MIT"
] | null | null | null | def ipl(team, run):
run = 184
print(team, run)
ipl('KKR',200) | 14 | 20 | 0.571429 | 12 | 70 | 3.333333 | 0.666667 | 0.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.113208 | 0.242857 | 70 | 5 | 21 | 14 | 0.641509 | 0 | 0 | 0 | 0 | 0 | 0.042254 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0 | 0 | 0.25 | 0.25 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
6c4f268709408c91c20eb1dd6d371a24ff5780d1 | 108 | py | Python | scripts/slave/recipe_modules/luci_config/__init__.py | bopopescu/chromium-build | f8e42c70146c1b668421ee6358dc550a955770a3 | [
"BSD-3-Clause"
] | null | null | null | scripts/slave/recipe_modules/luci_config/__init__.py | bopopescu/chromium-build | f8e42c70146c1b668421ee6358dc550a955770a3 | [
"BSD-3-Clause"
] | null | null | null | scripts/slave/recipe_modules/luci_config/__init__.py | bopopescu/chromium-build | f8e42c70146c1b668421ee6358dc550a955770a3 | [
"BSD-3-Clause"
] | 1 | 2020-07-22T09:16:32.000Z | 2020-07-22T09:16:32.000Z | DEPS = [
'recipe_engine/json',
'recipe_engine/raw_io',
'recipe_engine/step',
'recipe_engine/url',
]
| 15.428571 | 25 | 0.675926 | 14 | 108 | 4.857143 | 0.571429 | 0.705882 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.148148 | 108 | 6 | 26 | 18 | 0.73913 | 0 | 0 | 0 | 0 | 0 | 0.675926 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
6c5fa0ac6a94a69694c1e1603df03ee8045807b1 | 29 | py | Python | DForurm/DForurm/__init__.py | hydrospanner/DForurm | b8e9f4b37db8e2b02462976a11e9cd3fe76984d7 | [
"MIT"
] | null | null | null | DForurm/DForurm/__init__.py | hydrospanner/DForurm | b8e9f4b37db8e2b02462976a11e9cd3fe76984d7 | [
"MIT"
] | null | null | null | DForurm/DForurm/__init__.py | hydrospanner/DForurm | b8e9f4b37db8e2b02462976a11e9cd3fe76984d7 | [
"MIT"
] | null | null | null | """
Package for DForurm.
"""
| 7.25 | 20 | 0.586207 | 3 | 29 | 5.666667 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.172414 | 29 | 3 | 21 | 9.666667 | 0.708333 | 0.689655 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
6c62ef0289f9a847d4e00f6a27d323e3a948cfa6 | 70 | py | Python | utils/incremental/__init__.py | samils7/BLG561E-Class-Incremental-Learning | dfdf0388d35c6530dc089b8bf701347e9f75fbc2 | [
"MIT"
] | 241 | 2020-10-12T08:53:17.000Z | 2022-03-30T02:39:38.000Z | 2_LUCIR_+DC/utils_incremental/__init__.py | lywang3081/MRDC | 7f8ec5060495560d6e307d89341ccf5598dcb85b | [
"MIT"
] | 29 | 2020-12-21T02:46:57.000Z | 2022-03-24T07:51:58.000Z | 2_LUCIR_+DC/utils_incremental/__init__.py | lywang3081/MRDC | 7f8ec5060495560d6e307d89341ccf5598dcb85b | [
"MIT"
] | 40 | 2020-10-14T07:54:31.000Z | 2022-03-29T16:54:38.000Z | #!/usr/bin/env python
# coding=utf-8
# for incremental train and eval
| 17.5 | 32 | 0.728571 | 12 | 70 | 4.25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016667 | 0.142857 | 70 | 3 | 33 | 23.333333 | 0.833333 | 0.914286 | 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 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
6c805325747c75b6e8c05301ae7537dfc9a59cca | 120 | py | Python | 04/operators.py | EmanueleRossi/pyPG | 853996023c0020671bb1b7c3ecbeb7a5db5888a3 | [
"Apache-2.0"
] | null | null | null | 04/operators.py | EmanueleRossi/pyPG | 853996023c0020671bb1b7c3ecbeb7a5db5888a3 | [
"Apache-2.0"
] | null | null | null | 04/operators.py | EmanueleRossi/pyPG | 853996023c0020671bb1b7c3ecbeb7a5db5888a3 | [
"Apache-2.0"
] | null | null | null | add1 = 1
add2 = 'Ciao!'
add3 = 98.1
print(type(add1))
print(type(add2))
print(add2 + ' ' + str(add1))
print(float(add1)) | 17.142857 | 29 | 0.633333 | 20 | 120 | 3.8 | 0.5 | 0.236842 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.116505 | 0.141667 | 120 | 7 | 30 | 17.142857 | 0.621359 | 0 | 0 | 0 | 0 | 0 | 0.049587 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.571429 | 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 | 0 | 0 | 0 | 1 | 0 | 4 |
6c855f7cc0755c45fe7f7fd2252b77de10ff8737 | 30,376 | py | Python | test/variant_caller_transforms/varscan_test.py | umich-brcf-bioinf/Jacquard | ff79fcb2ea67ff3c5e222ef1ed24083deb7c3f7c | [
"Apache-2.0"
] | 7 | 2018-10-04T10:21:23.000Z | 2020-11-10T07:18:19.000Z | test/variant_caller_transforms/varscan_test.py | umich-brcf-bioinf/Jacquard | ff79fcb2ea67ff3c5e222ef1ed24083deb7c3f7c | [
"Apache-2.0"
] | 5 | 2019-07-22T06:35:14.000Z | 2020-11-03T17:05:33.000Z | test/variant_caller_transforms/varscan_test.py | umich-brcf-bioinf/Jacquard | ff79fcb2ea67ff3c5e222ef1ed24083deb7c3f7c | [
"Apache-2.0"
] | 3 | 2017-03-12T22:37:18.000Z | 2020-10-19T13:40:38.000Z | # pylint: disable=line-too-long,too-many-public-methods,too-few-public-methods
# pylint: disable=invalid-name,global-statement
from __future__ import print_function, absolute_import, division
from argparse import Namespace
from collections import OrderedDict
import re
import jacquard.utils.logger
import jacquard.utils.utils as utils
import jacquard.utils.vcf as vcf
from jacquard.variant_caller_transforms import varscan
from jacquard.variant_caller_transforms.varscan import _HCTag
import test.utils.mock_logger
import test.utils.test_case as test_case
from test.utils.vcf_test import MockFileReader, MockVcfReader, MockVcfRecord
class HCTagTestCase(test_case.JacquardBaseTestCase):
def test_add_tag_values_highConfidenceDoesNotChangeFilter(self):
record = vcf.VcfRecord("chr1", "42", "ref", "alt", vcf_filter="pass")
input_reader = MockFileReader("foo.txt", ["chrom\tposition\tref\tvar",
"chr1\t42\tref\tvar",
"chr2\t50\tref\tvar"])
expected = "pass"
actual = _HCTag(input_reader).add_tag_values(record).filter
self.assertEquals(expected, actual)
def test_add_tag_values_lowConfidencePassingReplacesFilter(self):
record = vcf.VcfRecord("chr1", "30", "ref", "alt", vcf_filter="pass")
input_reader = MockFileReader("foo.txt", ["chrom\tposition\tref\tvar",
"chr1\t42\tref\tvar",
"chr2\t50\tref\tvar"])
tag = _HCTag(input_reader)
expected = tag._TAG_ID
actual = tag.add_tag_values(record).filter
self.assertEquals(expected, actual)
class GenotypeTagTestCase(test_case.JacquardBaseTestCase):
def test_metaheader(self):
self.assertEqual('##FORMAT=<ID={0}GT,Number=1,Type=String,Description="Jacquard genotype (based on GT)">'.format(varscan.JQ_VARSCAN_TAG),
varscan._GenotypeTag().metaheader)
def test_add_tag_values_addsGTTag(self):
vcf_record = MockVcfRecord("chr1", "12", "A", "T", vcf_format="AF:GT", samples=["0.2:0/0", "0.4:0/1"])
tag = varscan._GenotypeTag()
tag.add_tag_values(vcf_record)
expected_sample1 = OrderedDict(sorted({"AF": "0.2",
"GT": "0/0",
"{}GT".format(varscan.JQ_VARSCAN_TAG): "0/0"}.items()))
self.assertEquals(expected_sample1, vcf_record.sample_tag_values[0])
expected_sample2 = OrderedDict(sorted({"AF": "0.4",
"GT": "0/1",
"{}GT".format(varscan.JQ_VARSCAN_TAG): "0/1"}.items()))
self.assertEquals(expected_sample2, vcf_record.sample_tag_values[1])
def test_add_tag_values_missingGTTag(self):
vcf_record = MockVcfRecord("chr1", "12", "A", "T", vcf_format="AF", samples=["0.2", "0.4"])
tag = varscan._GenotypeTag()
tag.add_tag_values(vcf_record)
expected_sample1 = OrderedDict(sorted({"AF": "0.2"}.items()))
self.assertEquals(expected_sample1, vcf_record.sample_tag_values[0])
expected_sample2 = OrderedDict(sorted({"AF": "0.4"}.items()))
self.assertEquals(expected_sample2, vcf_record.sample_tag_values[1])
class AlleleFreqTagTestCase(test_case.JacquardBaseTestCase):
def test_metaheader(self):
self.assertEqual('##FORMAT=<ID={0}AF,Number=A,Type=Float,Description="Jacquard allele frequency for VarScan: Decimal allele frequency rounded to 4 digits (based on FREQ)">'.format(varscan.JQ_VARSCAN_TAG),
varscan._AlleleFreqTag().metaheader)
def test_format_missingAFTag(self):
tag = varscan._AlleleFreqTag()
line = "CHROM|POS|ID|REF|ALT|QUAL|FILTER|INFO|F1:F2:F3|SA.1:SA.2:SA.3|SB.1:SB.2:SB.3\n".replace('|', "\t")
originalVcfRecord = vcf.VcfRecord.parse_record(line, ["SA", "SB"])
processedVcfRecord = vcf.VcfRecord.parse_record(line, ["SA", "SB"])
tag.add_tag_values(processedVcfRecord)
self.assertEquals(originalVcfRecord.text(), processedVcfRecord.text())
def test_format_presentAFTag(self):
tag = varscan._AlleleFreqTag()
line = self.entab("CHROM|POS|ID|REF|ALT|QUAL|FILTER|INFO|"
"FREQ:F2:F3|"
"56.7%:SA.2:SA.3|"
"83.4%:SB.2:SB.3\n")
expected = self.entab(("CHROM|POS|ID|REF|ALT|QUAL|FILTER|INFO|"
"FREQ:F2:F3:{0}AF|"
"56.7%:SA.2:SA.3:0.567|"
"83.4%:SB.2:SB.3:0.834\n")
).format(varscan.JQ_VARSCAN_TAG)
processedVcfRecord = vcf.VcfRecord.parse_record(line, ["SA", "SB"])
tag.add_tag_values(processedVcfRecord)
self.assertEquals(expected, processedVcfRecord.text())
def test_format_multAlt(self):
tag = varscan._AlleleFreqTag()
line = self.entab("CHROM|POS|ID|REF|ALT|QUAL|FILTER|INFO|"
"FREQ:F2:F3|"
"56.7%,41%:SA.2:SA.3|"
"83.4%,23%:SB.2:SB.3\n")
expected = self.entab(("CHROM|POS|ID|REF|ALT|QUAL|FILTER|INFO|"
"FREQ:F2:F3:{0}AF|"
"56.7%,41%:SA.2:SA.3:0.567,0.41|"
"83.4%,23%:SB.2:SB.3:0.834,0.23\n")
).format(varscan.JQ_VARSCAN_TAG)
processedVcfRecord = vcf.VcfRecord.parse_record(line, ["SA", "SB"])
tag.add_tag_values(processedVcfRecord)
self.assertEquals(expected, processedVcfRecord.text())
class DepthTagTestCase(test_case.JacquardBaseTestCase):
def test_metaheader(self):
self.assertEqual('##FORMAT=<ID={0}DP,Number=1,Type=Integer,Description="Jacquard depth for VarScan (based on DP)">'.format(varscan.JQ_VARSCAN_TAG),
varscan._DepthTag().metaheader)
def test_format_missingDPTag(self):
tag = varscan._DepthTag()
line = "CHROM|POS|ID|REF|ALT|QUAL|FILTER|INFO|F1:F2:F3|SA.1:SA.2:SA.3|SB.1:SB.2:SB.3\n".replace('|', "\t")
originalVcfRecord = vcf.VcfRecord.parse_record(line, ["SA", "SB"])
processedVcfRecord = vcf.VcfRecord.parse_record(line, ["SA", "SB"])
tag.add_tag_values(processedVcfRecord)
self.assertEquals(originalVcfRecord.text(), processedVcfRecord.text())
def test_format_presentDPTag(self):
tag = varscan._DepthTag()
line = "CHROM|POS|ID|REF|ALT|QUAL|FILTER|INFO|DP:F2:F3|2:SA.2:SA.3|4:SB.2:SB.3\n".replace('|', "\t")
expected = "CHROM|POS|ID|REF|ALT|QUAL|FILTER|INFO|DP:F2:F3:{0}DP|2:SA.2:SA.3:2|4:SB.2:SB.3:4\n".format(varscan.JQ_VARSCAN_TAG).replace('|', "\t")
processedVcfRecord = vcf.VcfRecord.parse_record(line, ["SA", "SB"])
tag.add_tag_values(processedVcfRecord)
self.assertEquals(expected, processedVcfRecord.text())
class SomaticTagTestCase(test_case.JacquardBaseTestCase):
def test_metaheader(self):
self.assertEqual('##FORMAT=<ID={0}HC_SOM,Number=1,Type=Integer,Description="Jacquard somatic status for VarScan: 0=non-somatic,1=somatic (based on SOMATIC info tag and if sample is TUMOR)">'.format(varscan.JQ_VARSCAN_TAG),
varscan._SomaticTag().metaheader)
def test_format_missingSSTag(self):
tag = varscan._SomaticTag()
line = "CHROM|POS|ID|REF|ALT|QUAL|FILTER|INFO|F1:F2:F3|SA.1:SA.2:SA.3|SB.1:SB.2:SB.3\n".replace('|', "\t")
expected = ("CHROM|POS|ID|REF|ALT|QUAL|FILTER|INFO|F1:F2:F3:{0}HC_SOM|SA.1:SA.2:SA.3:0|SB.1:SB.2:SB.3:0\n").format(varscan.JQ_VARSCAN_TAG).replace('|', "\t")
processedVcfRecord = vcf.VcfRecord.parse_record(line, ["SA", "SB"])
tag.add_tag_values(processedVcfRecord)
self.assertEquals(expected, processedVcfRecord.text())
def test_format_presentSSTag_withHC(self):
tag = varscan._SomaticTag()
line = "CHROM|POS|ID|REF|ALT|QUAL|PASS|SS=2|F1:F2:F3|2:SA.2:SA.3|SB.1:SB.2:SB.3\n".replace('|', "\t")
expected = "CHROM|POS|ID|REF|ALT|QUAL|PASS|SS=2|F1:F2:F3:{0}HC_SOM|2:SA.2:SA.3:0|SB.1:SB.2:SB.3:1\n".format(varscan.JQ_VARSCAN_TAG).replace('|', "\t")
processedVcfRecord = vcf.VcfRecord.parse_record(line, ["SA", "SB"])
tag.add_tag_values(processedVcfRecord)
self.assertEquals(expected, processedVcfRecord.text())
def test_format_presentSSTag_withoutHCManyFilters(self):
tag = varscan._SomaticTag()
line = "CHROM|POS|ID|REF|ALT|QUAL|{0};foo|SS=2|F1:F2:F3|2:SA.2:SA.3|SB.1:SB.2:SB.3\n".format(varscan._HCTag._TAG_ID).replace('|', "\t")
expected = "CHROM|POS|ID|REF|ALT|QUAL|{0};foo|SS=2|F1:F2:F3:{1}HC_SOM|2:SA.2:SA.3:0|SB.1:SB.2:SB.3:0\n".format(varscan._HCTag._TAG_ID, varscan.JQ_VARSCAN_TAG).replace('|', "\t")
processedVcfRecord = vcf.VcfRecord.parse_record(line, ["SA", "SB"])
tag.add_tag_values(processedVcfRecord)
self.assertEquals(expected, processedVcfRecord.text())
def test_format_presentSSTag_withoutHC(self):
tag = varscan._SomaticTag()
line = "CHROM|POS|ID|REF|ALT|QUAL|{0}|SS=2|F1:F2:F3|2:SA.2:SA.3|SB.1:SB.2:SB.3\n".replace('|', "\t").format(varscan._HCTag._TAG_ID)
expected = "CHROM|POS|ID|REF|ALT|QUAL|{0}|SS=2|F1:F2:F3:{1}HC_SOM|2:SA.2:SA.3:0|SB.1:SB.2:SB.3:0\n".format(varscan._HCTag._TAG_ID, varscan.JQ_VARSCAN_TAG).replace('|', "\t")
processedVcfRecord = vcf.VcfRecord.parse_record(line, ["SA", "SB"])
tag.add_tag_values(processedVcfRecord)
self.assertEquals(expected, processedVcfRecord.text())
def test_format_SSTag_notEqual2(self):
tag = varscan._SomaticTag()
line = "CHROM|POS|ID|REF|ALT|QUAL|PASS|SS=5|F1:F2:F3|2:SA.2:SA.3|SB.1:SB.2:SB.3\n".replace('|', "\t")
expected = "CHROM|POS|ID|REF|ALT|QUAL|PASS|SS=5|F1:F2:F3:{0}HC_SOM|2:SA.2:SA.3:0|SB.1:SB.2:SB.3:0\n".format(varscan.JQ_VARSCAN_TAG).replace('|', "\t")
processedVcfRecord = vcf.VcfRecord.parse_record(line, ["SA", "SB"])
tag.add_tag_values(processedVcfRecord)
self.assertEquals(expected, processedVcfRecord.text())
class VarscanTestCase(test_case.JacquardBaseTestCase):
def setUp(self):
super(VarscanTestCase, self).setUp()
self.caller = varscan.Varscan()
varscan.logger = test.utils.mock_logger
def tearDown(self):
test.utils.mock_logger.reset()
varscan.logger = jacquard.utils.logger
super(VarscanTestCase, self).tearDown()
@staticmethod
def append_hc_files(readers,
file1="snp.somatic.hc.fpfilter.pass",
file2="indel.somatic.hc.fpfilter.pass",
content1=None,
content2=None):
if not content1:
content1 = []
if not content2:
content2 = []
readers.append(MockFileReader(file1, content1))
readers.append(MockFileReader(file2, content2))
@staticmethod
def _get_tag_class_names(vcf_reader):
return [tag.__class__.__name__ for tag in vcf_reader.tags]
def test_validate_vcf_hc_pairs(self):
self.caller._validate_vcf_hc_pairs([(MockFileReader("A.vcf"), MockFileReader("A.hc")),
(MockFileReader("B.vcf"), MockFileReader("B.hc"))])
self.ok()
def test_validate_vcf_hc_pairs_okIfNoHcFiles(self):
self.caller._validate_vcf_hc_pairs([(MockFileReader("A.vcf"), None),
(MockFileReader("B.vcf"), None)])
self.ok()
def test_validate_vcf_hc_pairs_raisesIfMissingHcFiles(self):
vcf_hc_pairs = [(MockFileReader("A.vcf"), MockFileReader("A.hc")),
(MockFileReader("B.vcf"), None)]
self.assertRaisesRegexp(utils.UsageError,
r"The VarScan VCF file \[B.vcf\] has no matching high-confidence file.",
self.caller._validate_vcf_hc_pairs,
vcf_hc_pairs)
def test_validate_vcf_hc_pairs_raisesIfNoMissingVcfFiles(self):
vcf_hc_pairs = [(MockFileReader("A.vcf"), MockFileReader("A.hc")),
(None, MockFileReader("B.hc"))]
self.assertRaisesRegexp(utils.UsageError,
r"The VarScan high-confidence file \[B.hc\] has no matching VCF file.",
self.caller._validate_vcf_hc_pairs,
vcf_hc_pairs)
def test_get_hc_file_pattern(self):
args = Namespace(varscan_hc_filter_file_regex="foo.*")
compiled_regex = varscan.Varscan._get_hc_file_pattern(args)
self.assertEquals("foo.*", compiled_regex.pattern)
def test_get_hc_file_pattern_invalidRegex(self):
args = Namespace(varscan_hc_filter_file_regex="*foo")
self.assertRaisesRegexp(utils.UsageError,
r"The specified regex \[\*foo\] could not be compiled. Review inputs and try again",
varscan.Varscan._get_hc_file_pattern,
args)
def test_validate_filter_file_emptyFile(self):
file_reader = MockFileReader("p1.hc.fpfilter.pass", [])
caller = varscan.Varscan()
valid_reader = caller._validate_filter_file(file_reader)
self.assertEquals("p1.hc.fpfilter.pass", valid_reader.file_name)
def test_validate_filter_file_validFile(self):
file_reader = MockFileReader("p1.hc.fpfilter.pass", ["chrom\tposition"])
caller = varscan.Varscan()
valid_reader = caller._validate_filter_file(file_reader)
self.assertEquals("p1.hc.fpfilter.pass", valid_reader.file_name)
def test_validate_filter_file_invalidFile(self):
file_reader = MockFileReader("p1.hc.fpfilter.pass", ["chrom\tpos\tref"])
caller = varscan.Varscan()
valid_reader = caller._validate_filter_file(file_reader)
self.assertEquals(None, valid_reader)
def test_claim_multiplePatients(self):
record1 = "chr1\t.\t.\t.\t.\t.\t.\t.\t."
content1 = ["##foo", "##source=VarScan2", "#chrom", record1]
content2 = ["chrom\tposition", "1\t23"]
reader1 = MockFileReader("p2.fileA.vcf", content1)
reader2 = MockFileReader("p2.fileA.Somatic.hc.fpfilter.pass", content2)
reader3 = MockFileReader("p3.fileA.Somatic.hc.fpfilter.pass", content2)
reader4 = MockFileReader("p3.fileA.vcf", content1)
file_readers = [reader1, reader2, reader3, reader4]
caller = varscan.Varscan()
dummy, vcf_readers = caller.claim(file_readers)
self.assertEquals(2, len(vcf_readers))
self.assertIsInstance(vcf_readers[0], varscan._VarscanVcfReader)
self.assertEquals("p2.fileA.vcf", vcf_readers[0]._vcf_reader.file_name)
self.assertIn("_HCTag",
self._get_tag_class_names(vcf_readers[0]))
self.assertIn("_HCTag",
self._get_tag_class_names(vcf_readers[1]))
self.assertEquals(reader1.file_name, vcf_readers[0]._vcf_reader.file_name)
def test_claim_varscanVcfOnly(self):
record1 = "chr1\t.\t.\t.\t.\t.\t.\t.\t."
content1 = ["##foo", "##source=VarScan2", "#chrom", record1]
reader1 = MockFileReader("fileA.snp.vcf", content1)
reader2 = MockFileReader("fileB.snp.vcf", content1)
file_readers = [reader1, reader2]
caller = varscan.Varscan()
unrecognized_readers, vcf_readers = caller.claim(file_readers)
self.assertEquals(0, len(unrecognized_readers))
self.assertEquals([], unrecognized_readers)
self.assertEquals(2, len(vcf_readers))
self.assertIsInstance(vcf_readers[0], varscan._VarscanVcfReader)
self.assertEquals(reader1.file_name, vcf_readers[0]._vcf_reader.file_name)
def test_claim_vcfAndFilterFile(self):
record1 = "chr1\t.\t.\t.\t.\t.\t.\t.\t."
content1 = [self.entab("chrom|position|ref|var"),
record1]
content2 = ["##foo", "##source=VarScan2", "#chrom", record1]
reader1 = MockFileReader("patientA.indel.Somatic.hc.fpfilter.pass", content1)
reader2 = MockFileReader("patientA.indel.vcf", content2)
reader3 = MockFileReader("patientA.snp.Somatic.hc.fpfilter.pass", content1)
reader4 = MockFileReader("patientA.snp.vcf", content2)
reader5 = MockFileReader("patientA.readme", ["foo"])
file_readers = [reader1, reader2, reader3, reader4, reader5]
caller = varscan.Varscan()
unrecognized_readers, vcf_readers = caller.claim(file_readers)
self.assertEquals(1, len(unrecognized_readers))
self.assertEquals([reader5], unrecognized_readers)
self.assertEquals(2, len(vcf_readers))
self.assertIsInstance(vcf_readers[0], varscan._VarscanVcfReader)
self.assertEquals(reader2.file_name, vcf_readers[0]._vcf_reader.file_name)
self.assertEquals(reader1.file_name, vcf_readers[0]._som_hc_file_reader.file_name)
self.assertIsInstance(vcf_readers[1], varscan._VarscanVcfReader)
self.assertEquals(reader4.file_name, vcf_readers[1]._vcf_reader.file_name)
self.assertEquals(reader3.file_name, vcf_readers[1]._som_hc_file_reader.file_name)
def test_claim_vcfAndFilterFileNameGiven(self):
record1 = "chr1\t.\t.\t.\t.\t.\t.\t.\t."
content1 = [self.entab("chrom|position|ref|var"),
record1]
content2 = ["##foo", "##source=VarScan2", "#chrom", record1]
reader1 = MockFileReader("patientA.indel.Somatic.foo.bar", content1)
reader2 = MockFileReader("patientA.indel.vcf", content2)
reader3 = MockFileReader("patientA.snp.Somatic.foo.bar", content1)
reader4 = MockFileReader("patientA.snp.vcf", content2)
reader5 = MockFileReader("patientA.readme", ["foo"])
file_readers = [reader1, reader2, reader3, reader4, reader5]
caller = varscan.Varscan()
caller.hc_file_pattern = re.compile("foo.bar$")
unrecognized_readers, vcf_readers = caller.claim(file_readers)
self.assertEquals(1, len(unrecognized_readers))
self.assertEquals([reader5], unrecognized_readers)
self.assertEquals(2, len(vcf_readers))
self.assertIsInstance(vcf_readers[0], varscan._VarscanVcfReader)
self.assertEquals(reader2.file_name, vcf_readers[0]._vcf_reader.file_name)
self.assertEquals(reader1.file_name, vcf_readers[0]._som_hc_file_reader.file_name)
self.assertIsInstance(vcf_readers[1], varscan._VarscanVcfReader)
self.assertEquals(reader4.file_name, vcf_readers[1]._vcf_reader.file_name)
self.assertEquals(reader3.file_name, vcf_readers[1]._som_hc_file_reader.file_name)
def test_claim_vcfAndInvalidFilterFile(self):
record1 = "chr1\t.\t.\t.\t.\t.\t.\t.\t."
content1 = [self.entab("chrom|pos|ref|alt"),
record1]
content2 = ["##foo", "##source=VarScan2", "#chrom", record1]
reader1 = MockFileReader("patientA.indel.Somatic.hc.fpfilter.pass", content1)
reader2 = MockFileReader("patientA.indel.vcf", content2)
reader3 = MockFileReader("patientA.snp.Somatic.hc.fpfilter.pass", content1)
reader4 = MockFileReader("patientA.snp.vcf", content2)
reader5 = MockFileReader("patientA.readme", ["foo"])
file_readers = [reader1, reader2, reader3, reader4, reader5]
caller = varscan.Varscan()
self.assertRaisesRegexp(utils.JQException,
r"The \[2\] input files \[.*\] match high-confidence file names, but the file header is invalid or missing. Review inputs and try again.",
caller.claim,
file_readers)
def test_claim_vcfAnd6InvalidFilterFiles(self):
#pylint: disable=too-many-locals
record1 = "chr1\t.\t.\t.\t.\t.\t.\t.\t."
content1 = [self.entab("chrom|pos|ref|alt"),
record1]
content2 = ["##foo", "##source=VarScan2", "#chrom", record1]
reader1 = MockFileReader("patientA.snp.Somatic.hc.fpfilter.pass", content1)
reader2 = MockFileReader("patientA.snp.vcf", content2)
reader3 = MockFileReader("patientB.snp.Somatic.hc.fpfilter.pass", content1)
reader4 = MockFileReader("patientB.snp.vcf", content2)
reader5 = MockFileReader("patientC.snp.Somatic.hc.fpfilter.pass", content1)
reader6 = MockFileReader("patientC.snp.vcf", content2)
reader7 = MockFileReader("patientD.snp.Somatic.hc.fpfilter.pass", content1)
reader8 = MockFileReader("patientD.snp.vcf", content2)
reader9 = MockFileReader("patientE.snp.Somatic.hc.fpfilter.pass", content1)
reader10 = MockFileReader("patientE.snp.vcf", content2)
reader11 = MockFileReader("patientF.snp.Somatic.hc.fpfilter.pass", content1)
reader12 = MockFileReader("patientF.snp.vcf", content2)
file_readers = [reader1, reader2, reader3, reader4, reader5, reader6,
reader7, reader8, reader9, reader10, reader11, reader12]
caller = varscan.Varscan()
self.assertRaisesRegexp(utils.JQException,
r"The \[6\] input files \[.*\(1 file\(s\) omitted\)\] match high-confidence file names, but the file header is invalid or missing. Review inputs and try again.",
caller.claim,
file_readers)
def test_claim_filterRegexDoesNotMatch(self):
record1 = "chr1\t.\t.\t.\t.\t.\t.\t.\t."
content1 = ["##foo", "##source=VarScan2", "#chrom", record1]
reader1 = MockFileReader("patientA.vcf", content1)
file_readers = [reader1]
caller = varscan.Varscan()
caller.hc_file_pattern = re.compile("foo.bar$")
self.assertRaisesRegexp(utils.UsageError,
r"The VarScan high-confidence filename regex \[foo\.bar\$\] didn't match any files in the input directory. The beginning of the high-confidence filename must exactly match a VCF filename up to the .vcf extension. Review inputs/command options and try again.",
caller.claim,
file_readers)
def test_claim_hcHasNoMatchingVCF(self):
record1 = "chr1\t.\t.\t.\t.\t.\t.\t.\t."
content1 = [self.entab("chrom|position"),
record1]
content2 = ["##foo", "##source=VarScan2", "#chrom", record1]
reader1 = MockFileReader("patientA.snp.vcf", content2)
reader2 = MockFileReader("patientA.snp.Somatic.hc.fpfilter.pass", content1)
reader3 = MockFileReader("patientB.snp.Somatic.hc.fpfilter.pass", content1)
file_readers = [reader1, reader2, reader3]
caller = varscan.Varscan()
self.assertRaisesRegexp(utils.JQException,
r"The VarScan high-confidence file \[patientB.snp.Somatic.hc.fpfilter.pass\] has no matching VCF file.",
caller.claim,
file_readers)
def test_claim_VCFHasNoMatchingHc(self):
record1 = "chr1\t.\t.\t.\t.\t.\t.\t.\t."
content1 = [self.entab("chrom|position"),
record1]
content2 = ["##foo", "##source=VarScan2", "#chrom", record1]
reader1 = MockFileReader("patientA.vcf", content2)
reader2 = MockFileReader("patientB.vcf", content2)
reader3 = MockFileReader("patientB.snp.Somatic.hc.fpfilter.pass", content1)
file_readers = [reader1, reader2, reader3]
caller = varscan.Varscan()
self.assertRaisesRegexp(utils.UsageError,
r"The VarScan VCF file \[patientA.vcf\] has no matching high-confidence file.",
caller.claim,
file_readers)
def test_claim_ignoresUnpairedNonVcfFiles(self):
record1 = "chr1\t.\t.\t.\t.\t.\t.\t.\t."
content1 = ["##foo", "##source=VarScan2", "#chrom", record1]
reader1 = MockFileReader("fileA.txt", content1)
file_readers = [reader1]
caller = varscan.Varscan()
unrecognized_readers, vcf_readers = caller.claim(file_readers)
self.assertEquals(1, len(unrecognized_readers))
self.assertEquals([reader1], unrecognized_readers)
self.assertEquals(0, len(vcf_readers))
def test_claim_ignoresOtherCallers(self):
record1 = "chr1\t.\t.\t.\t.\t.\t.\t.\t."
content1 = ["##foo", "##source=Foo", "#chrom", record1]
content2 = ["##foo", "##source=VarScan2", "#chrom", record1]
reader1 = MockFileReader("fileA.txt", content1)
reader2 = MockFileReader("fileA.vcf", content2)
file_readers = [reader1, reader2]
caller = varscan.Varscan()
unrecognized_readers, vcf_readers = caller.claim(file_readers)
self.assertEquals(1, len(unrecognized_readers))
self.assertEquals([reader1], unrecognized_readers)
self.assertEquals(1, len(vcf_readers))
def test_claim_mismatchingSnpIndelFiles(self):
record1 = "chr1\t.\t.\t.\t.\t.\t.\t.\t."
content1 = ["##foo", "##source=VarScan2", "#chrom", record1]
reader1 = MockFileReader("fileA.snp.vcf", content1)
reader2 = MockFileReader("fileA.indel.vcf", content1)
reader3 = MockFileReader("fileB.indel.vcf", content1)
file_readers = [reader1, reader2, reader3]
caller = varscan.Varscan()
self.assertRaisesRegexp(utils.JQException,
r"Some Varscan VCFs were missing either a snp or indel file. Review inputs/command options and try again.",
caller.claim,
file_readers)
actual_log_errors = test.utils.mock_logger.messages["ERROR"]
expected_log_errors = ["VarScan VCF [fileB.indel] has no snp file."]
self.assertEquals(expected_log_errors, actual_log_errors)
def test_claim_allSnpOrIndelOkay(self):
record1 = "chr1\t.\t.\t.\t.\t.\t.\t.\t."
content1 = ["##foo", "##source=VarScan2", "#chrom", record1]
reader1 = MockFileReader("fileA.indel.vcf", content1)
reader2 = MockFileReader("fileB.indel.vcf", content1)
file_readers = [reader1, reader2]
caller = varscan.Varscan()
unrecognized_readers, vcf_readers = caller.claim(file_readers)
self.assertEquals(0, len(unrecognized_readers))
self.assertEquals(2, len(vcf_readers))
class VarscanVcfReaderTestCase(test_case.JacquardBaseTestCase):
def test_metaheaders(self):
vcf_reader = MockVcfReader(metaheaders=["##foo", "##source=VarScan2"])
varscan_vcf_reader = varscan._VarscanVcfReader(vcf_reader)
metaheaders = varscan_vcf_reader.metaheaders
self.assertIn(varscan._AlleleFreqTag().metaheader, metaheaders)
self.assertIn(varscan._DepthTag().metaheader, metaheaders)
self.assertIn(varscan._SomaticTag().metaheader, metaheaders)
self.assertIn("##foo", metaheaders)
self.assertIn("##source=VarScan2", metaheaders)
self.assertIn("##jacquard.translate.caller=VarScan", metaheaders)
def test_vcf_records_newTagsPresent(self):
record1 = vcf.VcfRecord(chrom="chr1",
pos="21",
ref="A",
alt="G",
sample_tag_values={"sampleA": {"DP": "45"},
"sampleB": {"DP": "67"}})
record2 = vcf.VcfRecord(chrom="chr1",
pos="22",
ref="A",
alt="G",
sample_tag_values={"sampleA": {"FREQ": "46%"},
"sampleB": {"FREQ": "68%"}})
vcf_reader = MockVcfReader(records=[record1, record2])
varscan_vcf_reader = varscan._VarscanVcfReader(vcf_reader)
vcf_records = [record for record in varscan_vcf_reader.vcf_records()]
self.assertEquals(2, len(vcf_records))
self.assertIn("DP", vcf_records[0].format_tags)
self.assertIn(varscan.JQ_VARSCAN_TAG + "DP", vcf_records[0].format_tags)
self.assertIn(varscan.JQ_VARSCAN_TAG + "HC_SOM", vcf_records[0].format_tags)
self.assertIn(varscan.JQ_VARSCAN_TAG + "CALLER_REPORTED", vcf_records[0].format_tags)
self.assertIn(varscan.JQ_VARSCAN_TAG + "CALLER_PASSED", vcf_records[0].format_tags)
self.assertIn("FREQ", vcf_records[1].format_tags)
self.assertIn(varscan.JQ_VARSCAN_TAG + "AF", vcf_records[1].format_tags)
self.assertIn(varscan.JQ_VARSCAN_TAG + "HC_SOM", vcf_records[1].format_tags)
self.assertIn(varscan.JQ_VARSCAN_TAG + "CALLER_REPORTED", vcf_records[1].format_tags)
self.assertIn(varscan.JQ_VARSCAN_TAG + "CALLER_PASSED", vcf_records[1].format_tags)
def test_vcf_records_SomHcFileSNP(self):
record1 = vcf.VcfRecord(chrom="chr1", pos="21", ref="A", alt="G", vcf_filter="PASS")
record2 = vcf.VcfRecord(chrom="chr1", pos="22", ref="A", alt="T", vcf_filter="PASS")
vcf_reader = MockVcfReader(records=[record1, record2])
content1 = ["chrom\tposition",
"chr1\t21",
"chr1\t22"]
somatic_hc_reader = MockFileReader("fileA.Somatic.hc.fpfilter.pass", content1)
varscan_vcf_reader = varscan._VarscanVcfReader(vcf_reader, somatic_hc_reader)
vcf_records = [record for record in varscan_vcf_reader.vcf_records()]
self.assertEquals(2, len(vcf_records))
self.assertIn("PASS", vcf_records[0].filter)
self.assertIn("PASS", vcf_records[1].filter)
def test_open_and_close(self):
vcf_reader = MockVcfReader(metaheaders=["##foo", "##source=VarScan2"])
varscan_vcf_reader = varscan._VarscanVcfReader(vcf_reader)
varscan_vcf_reader.open()
varscan_vcf_reader.close()
self.assertTrue(varscan_vcf_reader.open)
self.assertTrue(varscan_vcf_reader.close)
| 52.736111 | 291 | 0.630366 | 3,572 | 30,376 | 5.18813 | 0.092665 | 0.009821 | 0.012627 | 0.01403 | 0.790471 | 0.747356 | 0.701166 | 0.675858 | 0.652385 | 0.614397 | 0 | 0.028482 | 0.232519 | 30,376 | 575 | 292 | 52.827826 | 0.766439 | 0.005037 | 0 | 0.522822 | 0 | 0.051867 | 0.199378 | 0.096231 | 0 | 0 | 0 | 0 | 0.192946 | 1 | 0.099585 | false | 0.078838 | 0.024896 | 0.002075 | 0.141079 | 0.002075 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 4 |
665caf05ab4fe084f03d9a0e81fbbea9f94d004b | 167 | py | Python | aula3/aula3.py | higornobrega/Python_3_Basico_ao_Avancado | d056dffa0954fa33a767c58ce2a7a15f7435d047 | [
"MIT"
] | null | null | null | aula3/aula3.py | higornobrega/Python_3_Basico_ao_Avancado | d056dffa0954fa33a767c58ce2a7a15f7435d047 | [
"MIT"
] | null | null | null | aula3/aula3.py | higornobrega/Python_3_Basico_ao_Avancado | d056dffa0954fa33a767c58ce2a7a15f7435d047 | [
"MIT"
] | null | null | null | #Strings (texto) e aspas em Python
#r antes da string informa para o compilador não execultar nada dentro da string
#string, comenário_
print(r'Esse é meu \n (str).') | 33.4 | 80 | 0.754491 | 29 | 167 | 4.310345 | 0.862069 | 0.128 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.161677 | 167 | 5 | 81 | 33.4 | 0.892857 | 0.778443 | 0 | 0 | 0 | 0 | 0.571429 | 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 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 4 |
666b7274c5fb9f0072b76c756a9e873a2e7833cb | 7,075 | py | Python | dataformatter.py | stefan863/netflow-parser | e49eca86de10865a2204e72c57522e6264da0baf | [
"MIT"
] | null | null | null | dataformatter.py | stefan863/netflow-parser | e49eca86de10865a2204e72c57522e6264da0baf | [
"MIT"
] | null | null | null | dataformatter.py | stefan863/netflow-parser | e49eca86de10865a2204e72c57522e6264da0baf | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import csv
import sys
import os
import argparse
def sortOnPorts(INFILE):
PORTLIST = [102, 110, 143, 1911, 2000, 21, 22, 23, 2323, 25, 443, 445, 465, 502, 7547, 80 , 8080, 8888, 993, 995]
foundPorts = []
filename = INFILE.name
with open(filename, newline='') as f:
reader = csv.reader(f)
try:
for row in reader:
row[0] = row[0].strip()
row[1] = row[1].strip()
portnr = float(row[1]) #float because of the outputfile containing 0.0 as a port
if portnr in PORTLIST:
if portnr not in foundPorts:
foundPorts.append(int(portnr))
with open('/tmp/' + row[1] + '.csv', 'a', newline='') as csvfile: #files saved as /tmp/PORTNR.csv
writer = csv.writer(csvfile, delimiter=' ',
quotechar='|', quoting=csv.QUOTE_MINIMAL)
writer.writerow([row[0]])
except:
pass
foundPorts.sort()
return foundPorts
def portToScanType(argument):
switcher = {
102: '/tmp/102.csv | zgrab --senders=2500 --timeout=10 --port=102 --s7 --output-file=/home/ubuntu/scanresults-netflow/$(date +%Y%m%d)/102-s7-szl-full_ipv4.json;',
110: '/tmp/110.csv | zgrab --senders=2500 --timeout=5 --port=110 --starttls --banners --pop3 --output-file=/home/ubuntu/scanresults-netflow/$(date +%Y%m%d)/110-pop3-starttls-full_ipv4.json;',
143: '/tmp/143.csv | zgrab --senders=2500 --timeout=5 --port=143 --starttls --banners --imap --output-file=/home/ubuntu/scanresults-netflow/$(date +%Y%m%d)/143-imap-starttls-full_ipv4.json;',
1911: '/tmp/1911.csv | zgrab --senders=2500 --timeout=5 --port=1911 --fox --output-file=/home/ubuntu/scanresults-netflow/$(date +%Y%m%d)/1911-fox-device_id-full_ipv4.json;',
2000: '/tmp/2000.csv | zgrab --senders=2500 --timeout=15 --port=20000 --dnp3 --output-file=/home/ubuntu/scanresults-netflow/$(date +%Y%m%d)/20000-dnp3-status-full_ipv4.json;',
21: '/tmp/21.csv | zgrab --senders=2500 --timeout=5 --port=21 --banners --output-file=/home/ubuntu/scanresults-netflow/$(date +%Y%m%d)/21-ftp-banner-full_ipv4.json;',
22: '/tmp/22.csv | zgrab --senders=2500 --timeout=5 --port=22 --xssh --output-file=/home/ubuntu/scanresults-netflow/$(date +%Y%m%d)/22-ssh-v2-full_ipv4.json;',
23: '/tmp/23.csv | zgrab --senders=2500 --timeout=5 --port=23 --telnet --output-file=/home/ubuntu/scanresults-netflow/$(date +%Y%m%d)/23-telnet-banner-full_ipv4.json;',
2323: '/tmp/2323.csv | zgrab --senders=2500 --timeout=5 --port=2323 --telnet --output-file=/home/ubuntu/scanresults-netflow/$(date +%Y%m%d)/2323-telnet-banner-full_ipv4.json;',
25: '/tmp/25.csv | zgrab --senders=2500 --timeout=5 --port=25 --starttls --banners --smtp --output-file=/home/ubuntu/scanresults-netflow/$(date +%Y%m%d)/25-smtp-starttls-full_ipv4.json;',
443: '/tmp/443.csv | zgrab --senders=2500 --timeout=5 --port=443 --tls --export-dhe-ciphers --output-file=/home/ubuntu/scanresults-netflow/$(date +%Y%m%d)/443-https-dhe_export-full_ipv4.json; /tmp/443_1.csv | zgrab --senders=2500 --timeout=5 --port=443 --tls --dhe-ciphers --output-file=/home/ubuntu/scanresults-netflow/$(date +%Y%m%d)/443-https-dhe-full_ipv4.json; /tmp/443.csv | zgrab --senders=2500 --timeout=5 --port=443 --tls --export-ciphers --output-file=/home/ubuntu/scanresults-netflow/$(date +%Y%m%d)/443-https-rsa_export-full_ipv4.json; /tmp/443.csv | zgrab --senders=2500 --timeout=5 --port=443 --tls --heartbleed --output-file=/home/ubuntu/scanresults-netflow/$(date +%Y%m%d)/443-https-heartbleed-full_ipv4.json; /tmp/443.csv | zgrab --senders=2500 --timeout=5 --ca-file=/etc/nss-root-store.pem --port=443 --tls --chrome-ciphers --tls-session-ticket --output-file=/home/ubuntu/scanresults-netflow/$(date +%Y%m%d)/443-certificates-and-chrome-ciphers.json; /tmp/443.csv | zgrab --senders=2500 --timeout=5 --tls-version=sslv3 --port=443 --tls --output-file=/home/ubuntu/scanresults-netflow/$(date +%Y%m%d)/443-https-ssl_3-full_ipv4.json;',
445: '/tmp/445.csv | zgrab --senders=2500 --timeout=5 --port=445 --smb --output-file=/home/ubuntu/scanresults-netflow/$(date +%Y%m%d)/445-smb-banner-full_ipv4.json;',
465: '/tmp/465.csv | zgrab --senders=2500 --timeout=5 --port=465 --tls --banners --smtp --output-file=/home/ubuntu/scanresults-netflow/$(date +%Y%m%d)/465-smtps-tls-full_ipv4.json;',
502: '/tmp/502.csv | zgrab --senders=2500 --timeout=5 --port=502 --modbus --output-file=/home/ubuntu/scanresults-netflow/$(date +%Y%m%d)/502-modbus-device_id-full_ipv4.json;',
7547: '/tmp/7547.csv | zgrab --http-max-size=64--http=/ --senders=2500 --timeout=5 --port=7547 --output-file=/home/ubuntu/scanresults-netflow/$(date +%Y%m%d)/7547-cwmp-get-full_ipv4.json;',
80: '/tmp/80.csv | zgrab --http-max-size=64 --http=/ --http-max-redirects=5 --port=80 --timeout=5 --follow-localhost-redirects=False --senders=1000 --output-file=/home/ubuntu/scanresults-netflow/$(date +%Y%m%d)/80-http-get-full_ipv4.json;',
8080: '/tmp/8080.csv | zgrab --http-max-size=64 --http=/ --http-max-redirects=5 --port=8080 --timeout=5 --follow-localhost-redirects=False --senders=1000 --output-file=/home/ubuntu/scanresults-netflow/$(date +%Y%m%d)/8080-http-get-full_ipv4.json;',
8888: '/tmp/8888.csv | zgrab --http-max-size=64--http=/ --http-max-redirects=5 --port=8888 --timeout=5 --follow-localhost-redirects=False --senders=1000 --output-file=/home/ubuntu/scanresults-netflow/$(date +%Y%m%d)/8888-http-get-full_ipv4.json;',
993: '/tmp/993.csv | zgrab --senders=2500 --timeout=5 --port=993 --tls --banners --imap --output-file=/home/ubuntu/scanresults-netflow/$(date +%Y%m%d)/993-imaps-tls-full_ipv4.json; sudo zmap -p 993 --whitelist-file=/tmp/993.csv | sudo ztee /home/ubuntu/results-netflow/$(date +%Y%m%d)/993_2.csv | zgrab --senders=2500 --timeout=5 --port=993 --tls --export-dhe-ciphers --output-file=/home/ubuntu/scanresults-netflow/$(date +%Y%m%d)/993-imaps-dhe_export-full_ipv4.json;',
995: '/tmp/995.csv | zgrab --senders=2500 --timeout=5 --port=995 --tls --banners --pop3 --output-file=/home/ubuntu/scanresults-netflow/$(date +%Y%m%d)/995-pop3s-tls-full_ipv4.json;',
}
return switcher.get(argument, "error")
def initScan(portlist):
os.system('mkdir scanresults-netflow/$(date +%Y%m%d)/')
os.system('mkdir results-netflow/$(date +%Y%m%d)/')
os.system('ulimit -n 4096;')
for port in portlist:
os.system(portToScanType(port))
def main(arguments):
parser = argparse.ArgumentParser( description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter)
parser.add_argument('infile', help="Input file", type=argparse.FileType('r'))
args = parser.parse_args(arguments)
INFILE = args.infile
portlist = sortOnPorts(INFILE)
initScan(portlist)
if __name__ == '__main__':
sys.exit(main(sys.argv[1:]))
| 79.494382 | 1,157 | 0.652297 | 1,043 | 7,075 | 4.377756 | 0.182167 | 0.069864 | 0.076216 | 0.082567 | 0.602278 | 0.549496 | 0.533728 | 0.437144 | 0.437144 | 0.405388 | 0 | 0.093108 | 0.146855 | 7,075 | 88 | 1,158 | 80.397727 | 0.663353 | 0.014982 | 0 | 0 | 0 | 0.307692 | 0.713609 | 0.401952 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061538 | false | 0.015385 | 0.061538 | 0 | 0.153846 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
666f27e408e7292c3e8736b73b206d482dd6ddc0 | 204 | py | Python | py2/test/all_tests.py | greenarr0w/yass | 0f17de682666096bc0294430aa69d1822e661cd8 | [
"BSD-3-Clause"
] | null | null | null | py2/test/all_tests.py | greenarr0w/yass | 0f17de682666096bc0294430aa69d1822e661cd8 | [
"BSD-3-Clause"
] | null | null | null | py2/test/all_tests.py | greenarr0w/yass | 0f17de682666096bc0294430aa69d1822e661cd8 | [
"BSD-3-Clause"
] | null | null | null | import unittest
from typing import cast, Any
def load_tests(loader, tests, pattern):
return loader.discover('.', "*_test.py")
if __name__ == '__main__':
cast(Any, unittest).main(verbosity=1)
| 17 | 44 | 0.696078 | 27 | 204 | 4.888889 | 0.740741 | 0.106061 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005848 | 0.161765 | 204 | 11 | 45 | 18.545455 | 0.766082 | 0 | 0 | 0 | 0 | 0 | 0.088235 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 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 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 4 |
66754f1bde41efbda0241eed3e396b78216fb2f3 | 74 | py | Python | Reset_sound_lib.py | yash-dhingra/musifre | d123b7059356d9304e36a5acd0e13aec1af06185 | [
"MIT"
] | 10 | 2022-02-02T16:56:50.000Z | 2022-03-22T19:24:27.000Z | Reset_sound_lib.py | Erebus-P/musifre | d123b7059356d9304e36a5acd0e13aec1af06185 | [
"MIT"
] | null | null | null | Reset_sound_lib.py | Erebus-P/musifre | d123b7059356d9304e36a5acd0e13aec1af06185 | [
"MIT"
] | 2 | 2022-02-02T17:32:59.000Z | 2022-02-05T10:40:15.000Z | import pickle
with open("data.dat","wb") as file:
pickle.dump({},file) | 24.666667 | 35 | 0.662162 | 12 | 74 | 4.083333 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.135135 | 74 | 3 | 36 | 24.666667 | 0.765625 | 0 | 0 | 0 | 0 | 0 | 0.133333 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.333333 | 0 | 0.333333 | 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 | 0 | 0 | 0 | 4 |
66987e76b24518eddc6b3e1ca9f6d07bc1cc62c3 | 51 | py | Python | enthought/pyface/preference/api.py | enthought/etsproxy | 4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347 | [
"BSD-3-Clause"
] | 3 | 2016-12-09T06:05:18.000Z | 2018-03-01T13:00:29.000Z | enthought/pyface/preference/api.py | enthought/etsproxy | 4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347 | [
"BSD-3-Clause"
] | 1 | 2020-12-02T00:51:32.000Z | 2020-12-02T08:48:55.000Z | enthought/pyface/preference/api.py | enthought/etsproxy | 4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347 | [
"BSD-3-Clause"
] | null | null | null | # proxy module
from pyface.preference.api import *
| 17 | 35 | 0.784314 | 7 | 51 | 5.714286 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.137255 | 51 | 2 | 36 | 25.5 | 0.909091 | 0.235294 | 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 | 0 | 0 | 0 | 4 |
66adf2671409ff38e025b362b858e870c647e3ab | 201 | py | Python | tasks/apps.py | SpeedyCoder/task-manager | 1f7d98bad6b8251e94bd8cd63f14e3f4524c4f72 | [
"MIT"
] | null | null | null | tasks/apps.py | SpeedyCoder/task-manager | 1f7d98bad6b8251e94bd8cd63f14e3f4524c4f72 | [
"MIT"
] | null | null | null | tasks/apps.py | SpeedyCoder/task-manager | 1f7d98bad6b8251e94bd8cd63f14e3f4524c4f72 | [
"MIT"
] | null | null | null | from django.apps import AppConfig
class TasksConfig(AppConfig):
name = 'tasks'
def ready(self):
# Register rules
import tasks.rules
import tasks.templatetags.helpers
| 18.272727 | 41 | 0.666667 | 22 | 201 | 6.090909 | 0.727273 | 0.164179 | 0.238806 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.263682 | 201 | 10 | 42 | 20.1 | 0.905405 | 0.069652 | 0 | 0 | 0 | 0 | 0.027027 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.5 | 0 | 1 | 0 | 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 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 4 |
66bb39c6a187334df89e2083c643e7d4eb121600 | 326 | py | Python | nicelka/convert_file.py | konrad-kocik/nicelka | a174fce9b8c6d4414312120e89e10bb1e10629df | [
"MIT"
] | null | null | null | nicelka/convert_file.py | konrad-kocik/nicelka | a174fce9b8c6d4414312120e89e10bb1e10629df | [
"MIT"
] | null | null | null | nicelka/convert_file.py | konrad-kocik/nicelka | a174fce9b8c6d4414312120e89e10bb1e10629df | [
"MIT"
] | null | null | null | from nicelka.data_normalizer.importer import import_results_from_text_file
from nicelka.data_normalizer.exporter import export_results_to_excel_file
name = 'Otrębusy po edycji'
results = import_results_from_text_file('data', 'report_text_file.txt')
export_results_to_excel_file(results, 'data', '{}.xls'.format(name), name)
| 40.75 | 74 | 0.834356 | 48 | 326 | 5.25 | 0.4375 | 0.095238 | 0.119048 | 0.198413 | 0.388889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.070552 | 326 | 7 | 75 | 46.571429 | 0.831683 | 0 | 0 | 0 | 0 | 0 | 0.159509 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.6 | 0 | 0.6 | 0 | 0 | 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 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 4 |
66de4454a5e9740a5cd634f8e72f39325339c247 | 156 | py | Python | mushroom_rl/utils/pybullet/__init__.py | PuzeLiu/mushroom-rl | 99942b425e66b4ddcc26009d7105dde23841e95d | [
"MIT"
] | 344 | 2020-01-10T09:45:02.000Z | 2022-03-30T09:48:28.000Z | mushroom_rl/utils/pybullet/__init__.py | PuzeLiu/mushroom-rl | 99942b425e66b4ddcc26009d7105dde23841e95d | [
"MIT"
] | 44 | 2020-01-23T03:00:56.000Z | 2022-03-25T17:14:22.000Z | mushroom_rl/utils/pybullet/__init__.py | PuzeLiu/mushroom-rl | 99942b425e66b4ddcc26009d7105dde23841e95d | [
"MIT"
] | 93 | 2020-01-10T21:17:58.000Z | 2022-03-31T17:58:52.000Z | from .observation import PyBulletObservationType
from .index_map import IndexMap
from .viewer import PyBulletViewer
from .joints_helper import JointsHelper
| 31.2 | 48 | 0.871795 | 18 | 156 | 7.444444 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.102564 | 156 | 4 | 49 | 39 | 0.957143 | 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 | 0 | 0 | 0 | 4 |
dd0059e939288d0f77e5996d24210bd5e1674de6 | 274 | py | Python | hackerrank/python/math/mod-divmod.py | ParinVachhani/coding-practice | 2268215b1e1f26bfe09d0dfb4f94366594a6ef37 | [
"MIT"
] | 1 | 2018-05-06T14:03:02.000Z | 2018-05-06T14:03:02.000Z | hackerrank/python/math/mod-divmod.py | ParinVachhani/coding-practice | 2268215b1e1f26bfe09d0dfb4f94366594a6ef37 | [
"MIT"
] | null | null | null | hackerrank/python/math/mod-divmod.py | ParinVachhani/coding-practice | 2268215b1e1f26bfe09d0dfb4f94366594a6ef37 | [
"MIT"
] | null | null | null | if __name__ == '__main__':
a,b = int(input()), int(input())
print(a//b)
print(a%b)
print(divmod(a,b))
# print('{0}\n{1}\n({0}, {1})'.format(*divmod(int(input()), int(input()))))
# a, b = int(input()), int(input())
# print("{d[0]}\n{d[1]}\n{d}".format(d=divmod(a, b)))
| 24.909091 | 75 | 0.536496 | 51 | 274 | 2.72549 | 0.27451 | 0.086331 | 0.23741 | 0.345324 | 0.330935 | 0.330935 | 0.330935 | 0 | 0 | 0 | 0 | 0.02459 | 0.109489 | 274 | 10 | 76 | 27.4 | 0.545082 | 0.580292 | 0 | 0 | 0 | 0 | 0.072072 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0.6 | 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 | 0 | 0 | 0 | 1 | 0 | 4 |
dd3125bc3b40df7d247bc096756b9e82350e719d | 200 | py | Python | tronx/methods/decorators/__init__.py | JayPatel1314/Tron | d8f2d799eea344c0d76f0fe758ce385c7ceceea7 | [
"MIT"
] | 8 | 2021-08-22T06:43:34.000Z | 2022-02-24T17:09:49.000Z | tronx/methods/decorators/__init__.py | JayPatel1314/Tron | d8f2d799eea344c0d76f0fe758ce385c7ceceea7 | [
"MIT"
] | 61 | 2021-09-12T11:05:33.000Z | 2021-12-07T15:26:18.000Z | tronx/methods/decorators/__init__.py | JayPatel1314/Tron | d8f2d799eea344c0d76f0fe758ce385c7ceceea7 | [
"MIT"
] | 6 | 2021-09-08T08:43:04.000Z | 2022-02-24T17:09:50.000Z | from .on_message import OnMessage
from .on_callback import OnCallbackQuery
from .on_inline import OnInlineQuery
class Decorators(
OnMessage,
OnInlineQuery,
OnCallbackQuery,
):
pass
| 15.384615 | 40 | 0.765 | 21 | 200 | 7.142857 | 0.571429 | 0.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.19 | 200 | 12 | 41 | 16.666667 | 0.925926 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.111111 | 0.333333 | 0 | 0.444444 | 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 | 1 | 1 | 0 | 0 | 0 | 0 | 4 |
dd33494e0ddab98cd2d87350732cb5a9b4e558fc | 1,382 | py | Python | xai/exception.py | ngpgn/contextual-ai | deb119395ced5242f243b2b31c074507e96646c0 | [
"Apache-2.0"
] | 83 | 2020-06-17T04:07:29.000Z | 2022-03-12T13:45:24.000Z | xai/exception.py | ngpgn/contextual-ai | deb119395ced5242f243b2b31c074507e96646c0 | [
"Apache-2.0"
] | 15 | 2020-06-30T09:22:19.000Z | 2021-11-11T10:52:40.000Z | xai/exception.py | ngpgn/contextual-ai | deb119395ced5242f243b2b31c074507e96646c0 | [
"Apache-2.0"
] | 11 | 2020-06-17T17:01:24.000Z | 2022-02-27T18:53:03.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Copyright 2019 SAP SE or an SAP affiliate company. All rights reserved
# ============================================================================
""" Exception """
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
################################################################################
### ERROR Constants
################################################################################
GENERAL_ERROR = 500
################################################################################
### General Exception
################################################################################
class GeneralException(Exception):
"""General exception."""
def __init__(self, error_message: str, *, error_code=GENERAL_ERROR):
super().__init__()
self._message = error_message
self._code = error_code
def __repr__(self):
return 'Error {}[{}]'.format(self._message, self._code)
def __str__(self):
return 'Error {}[{}]'.format(self._message, self._code)
################################################################################
### Compiler Exception
################################################################################
class CompilerException(GeneralException):
"""Compiler exception""" | 34.55 | 80 | 0.409551 | 92 | 1,382 | 5.695652 | 0.467391 | 0.057252 | 0.091603 | 0.080153 | 0.152672 | 0.152672 | 0.152672 | 0.152672 | 0 | 0 | 0 | 0.006525 | 0.11288 | 1,382 | 40 | 81 | 34.55 | 0.420881 | 0.208394 | 0 | 0.142857 | 0 | 0 | 0.040956 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.214286 | false | 0 | 0.214286 | 0.142857 | 0.714286 | 0.071429 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 4 |
dd4aeb2c7e8854c3dcf3a564f4b8c7e6246da487 | 106 | py | Python | mayan/apps/databases/warnings.py | bonitobonita24/Mayan-EDMS | 7845fe0e1e83c81f5d227a16116397a3d3883b85 | [
"Apache-2.0"
] | 343 | 2015-01-05T14:19:35.000Z | 2018-12-10T19:07:48.000Z | mayan/apps/databases/warnings.py | bonitobonita24/Mayan-EDMS | 7845fe0e1e83c81f5d227a16116397a3d3883b85 | [
"Apache-2.0"
] | 191 | 2015-01-03T00:48:19.000Z | 2018-11-30T09:10:25.000Z | mayan/apps/databases/warnings.py | bonitobonita24/Mayan-EDMS | 7845fe0e1e83c81f5d227a16116397a3d3883b85 | [
"Apache-2.0"
] | 114 | 2015-01-08T20:21:05.000Z | 2018-12-10T19:07:53.000Z | class DatabaseWarning(UserWarning):
"""
Warning when using unsupported database backends.
"""
| 21.2 | 53 | 0.698113 | 9 | 106 | 8.222222 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.207547 | 106 | 4 | 54 | 26.5 | 0.880952 | 0.462264 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 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 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4 |
dd5f1a60b2788ed9deb512814345790625ab4478 | 52 | py | Python | uq360/algorithms/quantile_regression/__init__.py | Sclare87/UQ360 | 2378bfa4a8d61f813afbf6854341888434c9eb11 | [
"Apache-2.0"
] | 148 | 2021-05-27T20:52:51.000Z | 2022-03-16T22:49:48.000Z | uq360/algorithms/quantile_regression/__init__.py | Sclare87/UQ360 | 2378bfa4a8d61f813afbf6854341888434c9eb11 | [
"Apache-2.0"
] | 9 | 2021-06-21T18:45:07.000Z | 2021-11-08T14:42:30.000Z | uq360/algorithms/quantile_regression/__init__.py | Sclare87/UQ360 | 2378bfa4a8d61f813afbf6854341888434c9eb11 | [
"Apache-2.0"
] | 27 | 2021-06-01T18:29:02.000Z | 2022-03-02T06:56:03.000Z | from .quantile_regression import QuantileRegression
| 26 | 51 | 0.903846 | 5 | 52 | 9.2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.076923 | 52 | 1 | 52 | 52 | 0.958333 | 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 | 0 | 0 | 0 | 4 |
dd754fe41548ae6eea61d1b6b3cfe6f826ba16c4 | 23 | py | Python | src/sage/dynamics/flat_surfaces/__init__.py | bopopescu/sage | 2d495be78e0bdc7a0a635454290b27bb4f5f70f0 | [
"BSL-1.0"
] | 10 | 2018-06-01T21:54:53.000Z | 2022-03-14T20:11:34.000Z | src/sage/dynamics/__init__.py | Ivo-Maffei/sage | 467fbc70a08b552b3de33d9065204ee9cbfb02c7 | [
"BSL-1.0"
] | 2 | 2021-04-02T20:43:29.000Z | 2021-04-05T23:38:58.000Z | src/sage/dynamics/__init__.py | dimpase/sage | 468f23815ade42a2192b0a9cd378de8fdc594dcd | [
"BSL-1.0"
] | 15 | 2020-07-23T10:46:25.000Z | 2022-01-25T15:37:24.000Z | r"""
Flat surfaces
"""
| 5.75 | 13 | 0.565217 | 3 | 23 | 4.333333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.173913 | 23 | 3 | 14 | 7.666667 | 0.684211 | 0.565217 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
dd8a80c70347c76053e37c64e1b6b644f3030666 | 161 | py | Python | Math_Run/main.py | raafatabualazm/Competitive-Programming-Solutions | 3c8c953e9597e64a77e804ba4d3881c8f0354c7a | [
"MIT"
] | null | null | null | Math_Run/main.py | raafatabualazm/Competitive-Programming-Solutions | 3c8c953e9597e64a77e804ba4d3881c8f0354c7a | [
"MIT"
] | null | null | null | Math_Run/main.py | raafatabualazm/Competitive-Programming-Solutions | 3c8c953e9597e64a77e804ba4d3881c8f0354c7a | [
"MIT"
] | null | null | null | n = 1000
count = 0
for i in range(n):
for j in range(n):
for k in range(n):
if i < j and j < k:
count += 1
print(count) | 16.1 | 31 | 0.447205 | 29 | 161 | 2.482759 | 0.482759 | 0.291667 | 0.333333 | 0.305556 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.066667 | 0.440994 | 161 | 10 | 32 | 16.1 | 0.733333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.125 | 1 | 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 | 0 | 0 | 0 | 0 | 0 | 4 |
663fd8457b7972da3ec0a779407e8888250c83f1 | 171 | py | Python | bulletwrapper/__init__.py | dnnspark/bulletwrapper | 3d034ee27ccf1613e84bd0beaae345eb4cbb9f91 | [
"MIT"
] | null | null | null | bulletwrapper/__init__.py | dnnspark/bulletwrapper | 3d034ee27ccf1613e84bd0beaae345eb4cbb9f91 | [
"MIT"
] | 4 | 2018-10-09T21:33:05.000Z | 2018-10-16T07:07:18.000Z | bulletwrapper/__init__.py | dnnspark/bulletwrapper | 3d034ee27ccf1613e84bd0beaae345eb4cbb9f91 | [
"MIT"
] | null | null | null | # from session import BulletSession, BulletHook, StopSimulation
# import os
# root = os.path.dirname(os.path.realpath(__file__))
# data_root = os.path.join(root, 'data')
| 28.5 | 63 | 0.748538 | 23 | 171 | 5.347826 | 0.608696 | 0.146341 | 0.162602 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.116959 | 171 | 5 | 64 | 34.2 | 0.81457 | 0.94152 | 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 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
664f194b387280a16bb879cee12f9d8c387aef79 | 447 | py | Python | strativ_api/models.py | FahimSifnatul/strativ | b8ed3fad4a2a1e9daeead725d9e7174367a00290 | [
"MIT"
] | null | null | null | strativ_api/models.py | FahimSifnatul/strativ | b8ed3fad4a2a1e9daeead725d9e7174367a00290 | [
"MIT"
] | null | null | null | strativ_api/models.py | FahimSifnatul/strativ | b8ed3fad4a2a1e9daeead725d9e7174367a00290 | [
"MIT"
] | null | null | null | from django.db import models
# Create your models here.
class Countries(models.Model):
name = models.CharField(max_length=32)
alpha2code = models.CharField(max_length=16)
capital = models.CharField(max_length=32)
population = models.IntegerField()
timezones = models.CharField(max_length=16)
flag = models.CharField(max_length=64)
languages = models.CharField(max_length=256)
borders = models.CharField(max_length=256) | 37.25 | 46 | 0.756152 | 58 | 447 | 5.706897 | 0.465517 | 0.317221 | 0.380665 | 0.507553 | 0.477341 | 0 | 0 | 0 | 0 | 0 | 0 | 0.044271 | 0.14094 | 447 | 12 | 47 | 37.25 | 0.817708 | 0.053691 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.1 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 |
b083fff1ac160600d412b6902a6e192aedf975d8 | 163 | py | Python | python/datagit/navigate/dmo/__init__.py | jiportilla/ontology | 8a66bb7f76f805c64fc76cfc40ab7dfbc1146f40 | [
"MIT"
] | null | null | null | python/datagit/navigate/dmo/__init__.py | jiportilla/ontology | 8a66bb7f76f805c64fc76cfc40ab7dfbc1146f40 | [
"MIT"
] | null | null | null | python/datagit/navigate/dmo/__init__.py | jiportilla/ontology | 8a66bb7f76f805c64fc76cfc40ab7dfbc1146f40 | [
"MIT"
] | null | null | null | from .issue_index_builder import IssueIndexBuilder
from .issue_pattern_builder import IssuePatternBuilder
from .issue_taxonomy_builder import IssueTaxonomyBuilder
| 40.75 | 56 | 0.907975 | 18 | 163 | 7.888889 | 0.555556 | 0.190141 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.07362 | 163 | 3 | 57 | 54.333333 | 0.940397 | 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 | 0 | 0 | 0 | 4 |
b0ba6bdaf26087edbd8cde4be001de641091d1a9 | 378 | py | Python | axonius_api_client/cli/grp_system/grp_discover/__init__.py | geransmith/axonius_api_client | 09fd564d62f0ddf7aa44db14a509eaafaf0c930f | [
"MIT"
] | null | null | null | axonius_api_client/cli/grp_system/grp_discover/__init__.py | geransmith/axonius_api_client | 09fd564d62f0ddf7aa44db14a509eaafaf0c930f | [
"MIT"
] | 3 | 2021-05-18T14:28:30.000Z | 2021-09-06T20:01:56.000Z | axonius_api_client/cli/grp_system/grp_discover/__init__.py | geransmith/axonius_api_client | 09fd564d62f0ddf7aa44db14a509eaafaf0c930f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Command line interface for Axonius API Client."""
import click
from ...context import AliasedGroup
from . import cmd_get, cmd_start, cmd_stop
@click.group(cls=AliasedGroup)
def discover():
"""Group: Discover and Lifecycle management."""
discover.add_command(cmd_get.cmd)
discover.add_command(cmd_start.cmd)
discover.add_command(cmd_stop.cmd)
| 22.235294 | 52 | 0.751323 | 53 | 378 | 5.188679 | 0.509434 | 0.12 | 0.196364 | 0.229091 | 0.174545 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002994 | 0.116402 | 378 | 16 | 53 | 23.625 | 0.820359 | 0.293651 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | true | 0 | 0.375 | 0 | 0.5 | 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 | 0 | 0 | 0 | 4 |
b0cf93e391317af52cde877a4173db8885adc531 | 135 | py | Python | codev/template-library/python/namespace/third-party/modules/ModuleA.py | creative-sensor/echo-home | 14ed0da26e455ff19425ea9fc2a5e81bba8ca2c2 | [
"MIT"
] | null | null | null | codev/template-library/python/namespace/third-party/modules/ModuleA.py | creative-sensor/echo-home | 14ed0da26e455ff19425ea9fc2a5e81bba8ca2c2 | [
"MIT"
] | 2 | 2021-05-11T10:33:39.000Z | 2022-01-22T11:35:20.000Z | codev/template-library/python/namespace/third-party/modules/ModuleA.py | creative-sensor/echo-home | 14ed0da26e455ff19425ea9fc2a5e81bba8ca2c2 | [
"MIT"
] | null | null | null |
def printNumber(number):
print(number)
def printText(text):
print("Text: " + text)
class SimpleA:
""" Empty Class """
| 11.25 | 26 | 0.607407 | 15 | 135 | 5.466667 | 0.6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.237037 | 135 | 11 | 27 | 12.272727 | 0.796117 | 0.081481 | 0 | 0 | 0 | 0 | 0.052632 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4 | false | 0 | 0 | 0 | 0.6 | 0.8 | 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 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 4 |
b0f120ad271743ba4f02b31f4ea46603c4a2bfd8 | 69 | py | Python | xlib/face/EMaskType.py | jkennedyvz/DeepFaceLive | 274c20808da089eb7fc0fc0e8abe649379a29ffe | [
"MIT"
] | null | null | null | xlib/face/EMaskType.py | jkennedyvz/DeepFaceLive | 274c20808da089eb7fc0fc0e8abe649379a29ffe | [
"MIT"
] | null | null | null | xlib/face/EMaskType.py | jkennedyvz/DeepFaceLive | 274c20808da089eb7fc0fc0e8abe649379a29ffe | [
"MIT"
] | null | null | null | from enum import IntEnum
class EMaskType(IntEnum):
UNDEFINED = 0 | 17.25 | 25 | 0.753623 | 9 | 69 | 5.777778 | 0.888889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017857 | 0.188406 | 69 | 4 | 26 | 17.25 | 0.910714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 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 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 4 |
b0f8b2d65dfa9756e8dfdaabcd697e76263a3e27 | 12 | py | Python | public_test/__init__.py | digismoothie/public-test | d57cb0573c41c601fab7d81ce96161a81e8fe927 | [
"MIT"
] | null | null | null | public_test/__init__.py | digismoothie/public-test | d57cb0573c41c601fab7d81ce96161a81e8fe927 | [
"MIT"
] | null | null | null | public_test/__init__.py | digismoothie/public-test | d57cb0573c41c601fab7d81ce96161a81e8fe927 | [
"MIT"
] | null | null | null | ANSWER = 42
| 6 | 11 | 0.666667 | 2 | 12 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.222222 | 0.25 | 12 | 1 | 12 | 12 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 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 | 4 |
7c081db1316d96853c3d7d2baa599261fa2f4b72 | 108 | py | Python | src/sdk/analytics/analytics_handler.py | jzlotek/drexel-tms-parser | 9d5582a441d490a8099252994f9e41dca36acf81 | [
"Apache-2.0"
] | null | null | null | src/sdk/analytics/analytics_handler.py | jzlotek/drexel-tms-parser | 9d5582a441d490a8099252994f9e41dca36acf81 | [
"Apache-2.0"
] | 6 | 2021-03-09T00:34:54.000Z | 2022-02-17T19:35:47.000Z | src/sdk/analytics/analytics_handler.py | jzlotek/drexel-tms-parser | 9d5582a441d490a8099252994f9e41dca36acf81 | [
"Apache-2.0"
] | null | null | null | # Only sc, cn should be queried
# create plot for sc, cn based on year/quarter and number per year/quarter
| 27 | 74 | 0.75 | 20 | 108 | 4.05 | 0.8 | 0.098765 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.194444 | 108 | 3 | 75 | 36 | 0.931034 | 0.944444 | 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 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
9ff0d36ffbcc23c455e78bc489e6617033747dd0 | 165 | py | Python | mash_place_ui/config.py | MashSoftware/place | 41b4bea35cf1f1db80b839b8184b39ab02497c13 | [
"MIT"
] | null | null | null | mash_place_ui/config.py | MashSoftware/place | 41b4bea35cf1f1db80b839b8184b39ab02497c13 | [
"MIT"
] | null | null | null | mash_place_ui/config.py | MashSoftware/place | 41b4bea35cf1f1db80b839b8184b39ab02497c13 | [
"MIT"
] | null | null | null | import os
SECRET_KEY = os.getenv('SECRET_KEY', '4odS$gCbD7Y@*Erd')
GA_KEY = os.getenv('GA_KEY')
PLACE_API_URL = os.getenv('PLACE_API_URL', 'http://localhost:5000')
| 27.5 | 67 | 0.727273 | 28 | 165 | 4 | 0.535714 | 0.214286 | 0.196429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.039735 | 0.084848 | 165 | 5 | 68 | 33 | 0.701987 | 0 | 0 | 0 | 0 | 0 | 0.4 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 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 | 0 | 0 | 0 | 0 | 0 | 4 |
9ffff21747e21e6641b9004e465acd648ad7a18e | 298 | py | Python | wysdom/base_schema/__init__.py | jetavator/wysdom | 4c67c82a9df66370da5cf5347abd7450a52d3d03 | [
"Apache-2.0"
] | 1 | 2021-04-20T07:40:28.000Z | 2021-04-20T07:40:28.000Z | wysdom/base_schema/__init__.py | jetavator/wysdom | 4c67c82a9df66370da5cf5347abd7450a52d3d03 | [
"Apache-2.0"
] | 69 | 2020-05-13T07:13:49.000Z | 2021-05-06T18:26:21.000Z | wysdom/base_schema/__init__.py | jetavator/wysdom | 4c67c82a9df66370da5cf5347abd7450a52d3d03 | [
"Apache-2.0"
] | null | null | null | from .Schema import Schema
from .SchemaAnything import SchemaAnything
from .SchemaType import SchemaType
from .SchemaPrimitive import SchemaPrimitive
from .SchemaNone import SchemaNone
from .SchemaConst import SchemaConst
from .SchemaEnum import SchemaEnum
from .SchemaPattern import SchemaPattern
| 33.111111 | 44 | 0.865772 | 32 | 298 | 8.0625 | 0.3125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.107383 | 298 | 8 | 45 | 37.25 | 0.969925 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 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 | 4 |
b0035e1c40830183be5dd355787710d306097c8f | 121 | py | Python | api/__init__.py | Kac001/sangfor_sslvpn_api | e029bda7739147d6cb6fb20ff5af6f347d397cc9 | [
"MIT"
] | 3 | 2021-01-17T14:46:39.000Z | 2021-08-06T02:57:43.000Z | api/__init__.py | Kac001/sangfor_sslvpn_api | e029bda7739147d6cb6fb20ff5af6f347d397cc9 | [
"MIT"
] | null | null | null | api/__init__.py | Kac001/sangfor_sslvpn_api | e029bda7739147d6cb6fb20ff5af6f347d397cc9 | [
"MIT"
] | 1 | 2021-11-26T06:47:55.000Z | 2021-11-26T06:47:55.000Z | #!/usr/bin/env python
# -*- coding:utf-8 -*-
#
# Copyright (C) 2021 All rights reserved.
#
# @Author Kaco
# @Version 1.0
| 15.125 | 41 | 0.619835 | 18 | 121 | 4.166667 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.07 | 0.173554 | 121 | 7 | 42 | 17.285714 | 0.68 | 0.884298 | 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 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
b027e5c6cb598b82f82efe650de37af553ae487b | 2,221 | py | Python | stubs.min/System/Windows/__init___parts/AttachedPropertyBrowsableWhenAttributePresentAttribute.py | ricardyn/ironpython-stubs | 4d2b405eda3ceed186e8adca55dd97c332c6f49d | [
"MIT"
] | 1 | 2021-02-02T13:39:16.000Z | 2021-02-02T13:39:16.000Z | stubs.min/System/Windows/__init___parts/AttachedPropertyBrowsableWhenAttributePresentAttribute.py | hdm-dt-fb/ironpython-stubs | 4d2b405eda3ceed186e8adca55dd97c332c6f49d | [
"MIT"
] | null | null | null | stubs.min/System/Windows/__init___parts/AttachedPropertyBrowsableWhenAttributePresentAttribute.py | hdm-dt-fb/ironpython-stubs | 4d2b405eda3ceed186e8adca55dd97c332c6f49d | [
"MIT"
] | null | null | null | class AttachedPropertyBrowsableWhenAttributePresentAttribute(AttachedPropertyBrowsableAttribute,_Attribute):
"""
Specifies that an attached property is only browsable on an element that also has another specific �.NET Framework attribute�applied to its class definition.
AttachedPropertyBrowsableWhenAttributePresentAttribute(attributeType: Type)
"""
def Equals(self,obj):
"""
Equals(self: AttachedPropertyBrowsableWhenAttributePresentAttribute,obj: object) -> bool
Determines whether the current
System.Windows.AttachedPropertyBrowsableWhenAttributePresentAttribute�.NET
Framework attribute is equal to a specified object.
obj: The System.Windows.AttachedPropertyBrowsableWhenAttributePresentAttribute to
compare to the current
System.Windows.AttachedPropertyBrowsableWhenAttributePresentAttribute.
Returns: true if the specified
System.Windows.AttachedPropertyBrowsableWhenAttributePresentAttribute is equal
to the current
System.Windows.AttachedPropertyBrowsableWhenAttributePresentAttribute;
otherwise,false.
"""
pass
def GetHashCode(self):
"""
GetHashCode(self: AttachedPropertyBrowsableWhenAttributePresentAttribute) -> int
Returns the hash code for this
System.Windows.AttachedPropertyBrowsableWhenAttributePresentAttribute�.NET
Framework attribute.
Returns: An unsigned 32-bit integer value.
"""
pass
def __eq__(self,*args):
""" x.__eq__(y) <==> x==y """
pass
def __init__(self,*args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
@staticmethod
def __new__(self,attributeType):
""" __new__(cls: type,attributeType: Type) """
pass
def __ne__(self,*args):
pass
AttributeType=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Gets the type of the �.NET Framework attribute�that must also be applied on a class.
Get: AttributeType(self: AttachedPropertyBrowsableWhenAttributePresentAttribute) -> Type
"""
| 38.293103 | 215 | 0.74471 | 214 | 2,221 | 7.471963 | 0.383178 | 0.04878 | 0.251407 | 0.055034 | 0.315822 | 0.280801 | 0.181989 | 0.070669 | 0.070669 | 0.070669 | 0.002701 | 0.00109 | 0.173796 | 2,221 | 57 | 216 | 38.964912 | 0.86703 | 0.65421 | 0 | 0.4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4 | false | 0.4 | 0 | 0 | 0.533333 | 0 | 0 | 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 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 |
b05711fb700a74c07935ad71ffd5fdbb235ec318 | 25 | py | Python | data/studio21_generated/introductory/4464/starter_code.py | vijaykumawat256/Prompt-Summarization | 614f5911e2acd2933440d909de2b4f86653dc214 | [
"Apache-2.0"
] | null | null | null | data/studio21_generated/introductory/4464/starter_code.py | vijaykumawat256/Prompt-Summarization | 614f5911e2acd2933440d909de2b4f86653dc214 | [
"Apache-2.0"
] | null | null | null | data/studio21_generated/introductory/4464/starter_code.py | vijaykumawat256/Prompt-Summarization | 614f5911e2acd2933440d909de2b4f86653dc214 | [
"Apache-2.0"
] | null | null | null | def feast(beast, dish):
| 12.5 | 23 | 0.68 | 4 | 25 | 4.25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.16 | 25 | 2 | 24 | 12.5 | 0.809524 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
b069ada9dca294e010de419e643c2eac1c570615 | 328 | py | Python | trackproof/sample.py | AbigailMcGovern/trackproof | 583a6b01d275a181954f5f6c922529162adc95e3 | [
"BSD-3-Clause"
] | null | null | null | trackproof/sample.py | AbigailMcGovern/trackproof | 583a6b01d275a181954f5f6c922529162adc95e3 | [
"BSD-3-Clause"
] | null | null | null | trackproof/sample.py | AbigailMcGovern/trackproof | 583a6b01d275a181954f5f6c922529162adc95e3 | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
import pandas as pd
# Reinforcement learning to find boxes/tracks in which errors are found (+1 for every error identified possibly pentalty for correct segments)
# Input
# Image & tracks or subsection (might be too computationally intensive to process the whole thing)
# Output:
# chosen track segment | 32.8 | 142 | 0.780488 | 48 | 328 | 5.333333 | 0.895833 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003717 | 0.179878 | 328 | 10 | 143 | 32.8 | 0.947955 | 0.841463 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 4 |
c6b67313462a040a089e9fc777c4667a81e45a37 | 134 | py | Python | chconsole/launch/__init__.py | mincode/chconsole | ab8ca8a38bd47ecb1aa7ff90225f57e042aaad6e | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | chconsole/launch/__init__.py | mincode/chconsole | ab8ca8a38bd47ecb1aa7ff90225f57e042aaad6e | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | chconsole/launch/__init__.py | mincode/chconsole | ab8ca8a38bd47ecb1aa7ff90225f57e042aaad6e | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | from .launch import Launch, start_console, start_chconsole, start_qtconsole
__author__ = 'Manfred Minimair <manfred@minimair.org>'
| 22.333333 | 75 | 0.80597 | 16 | 134 | 6.3125 | 0.6875 | 0.29703 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.11194 | 134 | 5 | 76 | 26.8 | 0.84874 | 0 | 0 | 0 | 0 | 0 | 0.293233 | 0.165414 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 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 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 4 |
c6d008cf9f9e3483339356fc24012f0c13054502 | 669 | py | Python | sitemap_xml_generator.py | isNPComplete/sitemap_generator | 9a139c508bc47f7caa983d8eb2a86bbc2fe0ba83 | [
"MIT"
] | null | null | null | sitemap_xml_generator.py | isNPComplete/sitemap_generator | 9a139c508bc47f7caa983d8eb2a86bbc2fe0ba83 | [
"MIT"
] | null | null | null | sitemap_xml_generator.py | isNPComplete/sitemap_generator | 9a139c508bc47f7caa983d8eb2a86bbc2fe0ba83 | [
"MIT"
] | null | null | null | class XML_Generator(object):
def __init__(self, links):
self.xml_sitemap = "<!-- Service provided by David Qian --> \n"
self.xml_sitemap += '<?xml version="1.0" encoding="UTF-8"?> \n'
self.xml_sitemap += '<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"> \n'
for link in links:
self.xml_sitemap += '\t<url>\n'
self.xml_sitemap += '\t\t<loc>'+link+'</loc>\n'
self.xml_sitemap += '\t</url>\n'
self.xml_sitemap += '</urlset>'
def generate_xml_sitemap_file(self):
outputFile = open('sitemap.xml', 'w')
outputFile.write(self.xml_sitemap)
outputFile.close()
def generate_xml_sitemap_standard_output(self):
print self.xml_sitemap
| 31.857143 | 87 | 0.68012 | 100 | 669 | 4.34 | 0.45 | 0.253456 | 0.290323 | 0.172811 | 0.218894 | 0.152074 | 0.152074 | 0.152074 | 0.152074 | 0 | 0 | 0.008621 | 0.133034 | 669 | 20 | 88 | 33.45 | 0.739655 | 0 | 0 | 0 | 0 | 0.0625 | 0.304805 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0.0625 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
05aad2bb9cfc7a97c18536cd0bb0707fb0245011 | 145 | py | Python | learningPython/mundo1/desafios/desafio5.py | SrTesch/LearningC | cd6d4c131c3e4617f8a19243ebf443dd78f621a2 | [
"MIT"
] | null | null | null | learningPython/mundo1/desafios/desafio5.py | SrTesch/LearningC | cd6d4c131c3e4617f8a19243ebf443dd78f621a2 | [
"MIT"
] | null | null | null | learningPython/mundo1/desafios/desafio5.py | SrTesch/LearningC | cd6d4c131c3e4617f8a19243ebf443dd78f621a2 | [
"MIT"
] | null | null | null | n1 = int(input('Digite um valor: '))
print('O número que você digitou foi {}. O seu antecessor é {} e seu sucessor é {}'.format(n1, n1-1, n1+1)) | 48.333333 | 107 | 0.648276 | 27 | 145 | 3.481481 | 0.740741 | 0.06383 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.05 | 0.172414 | 145 | 3 | 107 | 48.333333 | 0.733333 | 0 | 0 | 0 | 0 | 0 | 0.630137 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 |
05bb68eac33827c65bef783a0f4f60ff251cd570 | 355 | py | Python | server/utils.py | tomy0000000/TSkr | a88c52396a08adcf50b65c5d17dea552fae50dc4 | [
"MIT"
] | 1 | 2019-12-25T14:50:31.000Z | 2019-12-25T14:50:31.000Z | server/utils.py | tomy0000000/TSkr | a88c52396a08adcf50b65c5d17dea552fae50dc4 | [
"MIT"
] | null | null | null | server/utils.py | tomy0000000/TSkr | a88c52396a08adcf50b65c5d17dea552fae50dc4 | [
"MIT"
] | null | null | null | """A Series of Helper Function which can be used by tasks"""
import logging
def build_logger():
""""""
# logging.config.dictConfig(LOGGING_CONFIG)
def send_notification():
""""""
pass
def save_data():
"""Save file which can be retrieved with get_data"""
pass
def get_data():
"""Retrieve file saved by save_data"""
pass
| 18.684211 | 60 | 0.650704 | 48 | 355 | 4.666667 | 0.604167 | 0.071429 | 0.089286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.216901 | 355 | 18 | 61 | 19.722222 | 0.805755 | 0.498592 | 0 | 0.375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | true | 0.375 | 0.125 | 0 | 0.625 | 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 | 1 | 0 | 0 | 1 | 0 | 0 | 4 |
05c645e53d13e697185bc9c614b13555fa5389b7 | 52 | py | Python | startup/stage.py | coderubrika/python-startup | b2732f1a27203b12d1c6d48c21a5e194e8d15c90 | [
"MIT"
] | null | null | null | startup/stage.py | coderubrika/python-startup | b2732f1a27203b12d1c6d48c21a5e194e8d15c90 | [
"MIT"
] | null | null | null | startup/stage.py | coderubrika/python-startup | b2732f1a27203b12d1c6d48c21a5e194e8d15c90 | [
"MIT"
] | null | null | null | def stage(cfg):
print('startup by "Stage" mode') | 26 | 36 | 0.653846 | 8 | 52 | 4.25 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.173077 | 52 | 2 | 36 | 26 | 0.790698 | 0 | 0 | 0 | 0 | 0 | 0.433962 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | false | 0 | 0 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 |
05cfcc399e9ff8dbe4d335df1000b2d8d8645d37 | 144 | py | Python | cnn-from-scratch/fc.py | glide23/dl | 9fd9ae1d011602819a1a04e18c814c2baca253bf | [
"Apache-2.0"
] | null | null | null | cnn-from-scratch/fc.py | glide23/dl | 9fd9ae1d011602819a1a04e18c814c2baca253bf | [
"Apache-2.0"
] | null | null | null | cnn-from-scratch/fc.py | glide23/dl | 9fd9ae1d011602819a1a04e18c814c2baca253bf | [
"Apache-2.0"
] | null | null | null | # fully-connected layer from scratch in numpy
import numpy as np
def fc_feedforward(x,W,b):
output = np.matmul(W,x) + b
return output
| 18 | 45 | 0.701389 | 25 | 144 | 4 | 0.76 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.208333 | 144 | 7 | 46 | 20.571429 | 0.877193 | 0.298611 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 4 |
05db40ecd996d745cbf2e8ffe75a274826ddcf4d | 160 | py | Python | coffea/nanoevents/__init__.py | dntaylor/coffea | 6d0b1e5678c840b60a9bf87d6e01341115d26735 | [
"BSD-3-Clause"
] | null | null | null | coffea/nanoevents/__init__.py | dntaylor/coffea | 6d0b1e5678c840b60a9bf87d6e01341115d26735 | [
"BSD-3-Clause"
] | null | null | null | coffea/nanoevents/__init__.py | dntaylor/coffea | 6d0b1e5678c840b60a9bf87d6e01341115d26735 | [
"BSD-3-Clause"
] | null | null | null | """NanoEvents and helpers
"""
from coffea.nanoevents.factory import NanoEventsFactory
import coffea.nanoevents.methods
__all__ = [
"NanoEventsFactory",
]
| 16 | 55 | 0.76875 | 15 | 160 | 7.933333 | 0.666667 | 0.268908 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.13125 | 160 | 9 | 56 | 17.777778 | 0.856115 | 0.1375 | 0 | 0 | 0 | 0 | 0.130769 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.4 | 0 | 0.4 | 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 | 0 | 0 | 0 | 4 |
af133635f98494e8eee6e40349135bc34d8aa15e | 89 | py | Python | double.py | imerla1/git-course-repo | 0c49a2b47597bd1770cc9a647f5e6424af225372 | [
"MIT"
] | 2 | 2022-02-06T19:38:53.000Z | 2022-02-24T18:44:14.000Z | double.py | imerla1/git-course-repo | 0c49a2b47597bd1770cc9a647f5e6424af225372 | [
"MIT"
] | null | null | null | double.py | imerla1/git-course-repo | 0c49a2b47597bd1770cc9a647f5e6424af225372 | [
"MIT"
] | null | null | null | def double(x):
# Doubles X
return x * 2
if __name__ == "__main__":
print(double(5))
| 12.714286 | 26 | 0.629213 | 14 | 89 | 3.428571 | 0.785714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.028571 | 0.213483 | 89 | 6 | 27 | 14.833333 | 0.657143 | 0.101124 | 0 | 0 | 0 | 0 | 0.102564 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0 | 0.25 | 0.5 | 0.25 | 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 | 0 | 0 | 1 | 0 | 0 | 0 | 4 |
af3c17a94324ad326fbff6feb79ae4ef3cd18282 | 266 | py | Python | suslab/users/controllers.py | AyushMukherjee/things-library | 73ea5af4c2f335bc36de08b14f2bf556498dd8d1 | [
"MIT"
] | 1 | 2022-01-31T19:19:34.000Z | 2022-01-31T19:19:34.000Z | suslab/users/controllers.py | AyushMukherjee/things-library | 73ea5af4c2f335bc36de08b14f2bf556498dd8d1 | [
"MIT"
] | 20 | 2021-04-18T05:09:34.000Z | 2021-11-01T14:40:03.000Z | suslab/users/controllers.py | AyushMukherjee/things-library | 73ea5af4c2f335bc36de08b14f2bf556498dd8d1 | [
"MIT"
] | 2 | 2021-05-09T07:31:28.000Z | 2021-12-07T06:59:53.000Z | from flask import request, render_template, url_for, redirect
from flask_security import SQLAlchemyUserDatastore
def get_user_datastore():
from suslab.users.models import User, Role
from suslab import db
return SQLAlchemyUserDatastore(db, User, Role)
| 26.6 | 61 | 0.796992 | 34 | 266 | 6.088235 | 0.617647 | 0.086957 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.154135 | 266 | 9 | 62 | 29.555556 | 0.92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | true | 0 | 0.666667 | 0 | 1 | 0 | 0 | 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 | 4 |
af85354400d9949d9c59bd8a894b00b33da0e92c | 306 | py | Python | lfc_contact_form/forms.py | diefenbach/lfc-contact-form | 0b000ce2e3c9cd4d1f2933fdbab982b404e18185 | [
"BSD-3-Clause"
] | null | null | null | lfc_contact_form/forms.py | diefenbach/lfc-contact-form | 0b000ce2e3c9cd4d1f2933fdbab982b404e18185 | [
"BSD-3-Clause"
] | null | null | null | lfc_contact_form/forms.py | diefenbach/lfc-contact-form | 0b000ce2e3c9cd4d1f2933fdbab982b404e18185 | [
"BSD-3-Clause"
] | null | null | null | from django import forms
from django.utils.translation import ugettext_lazy as _
class ContactForm(forms.Form):
name = forms.CharField(label=_(u'Your name'))
email = forms.EmailField(label=_(u'Your email address'))
message = forms.CharField(label=_(u'Your message'), widget=forms.Textarea())
| 34 | 80 | 0.745098 | 41 | 306 | 5.439024 | 0.560976 | 0.080717 | 0.134529 | 0.179372 | 0.215247 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.130719 | 306 | 8 | 81 | 38.25 | 0.838346 | 0 | 0 | 0 | 0 | 0 | 0.127451 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 1 | 0 | 0 | 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 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 4 |
af9a5ea4161b22c57b1916b620e4dc5546247bee | 90 | py | Python | Chapter 06 - Files and Exceptions/Assignments/6.4 Exceptions/51363.py | EllisBarnes00/COP-1000 | 8509e59e8a566c77295c714ddcb0f557c470358b | [
"Unlicense"
] | null | null | null | Chapter 06 - Files and Exceptions/Assignments/6.4 Exceptions/51363.py | EllisBarnes00/COP-1000 | 8509e59e8a566c77295c714ddcb0f557c470358b | [
"Unlicense"
] | 1 | 2021-06-07T03:55:29.000Z | 2021-06-07T03:56:47.000Z | Chapter 06 - Files and Exceptions/Assignments/6.4 Exceptions/51363.py | EllisBarnes00/COP-1000 | 8509e59e8a566c77295c714ddcb0f557c470358b | [
"Unlicense"
] | null | null | null | try:
print(budget/(num_boys + num_girls))
except ZeroDivisionError:
print("unavailable") | 22.5 | 37 | 0.777778 | 11 | 90 | 6.181818 | 0.818182 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.088889 | 90 | 4 | 38 | 22.5 | 0.829268 | 0 | 0 | 0 | 0 | 0 | 0.120879 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 4 |
afb6812f3bbaac885f2667b16a60ff3a8e7dcce6 | 91 | py | Python | river_engine/core/synchronizer.py | cysnake4713/river | 579ca1f6bdf45a3e51e35a181cf1912edfe724e7 | [
"Apache-2.0"
] | null | null | null | river_engine/core/synchronizer.py | cysnake4713/river | 579ca1f6bdf45a3e51e35a181cf1912edfe724e7 | [
"Apache-2.0"
] | null | null | null | river_engine/core/synchronizer.py | cysnake4713/river | 579ca1f6bdf45a3e51e35a181cf1912edfe724e7 | [
"Apache-2.0"
] | null | null | null | class Synchronizer:
def sync(self, sync_item):
pass
class SyncItem:
pass
| 11.375 | 30 | 0.637363 | 11 | 91 | 5.181818 | 0.727273 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.296703 | 91 | 7 | 31 | 13 | 0.890625 | 0 | 0 | 0.4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0.4 | 0 | 0 | 0.6 | 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 | 1 | 0 | 0 | 1 | 0 | 0 | 4 |
afc2c55882ebd230d80486a1311b07b06767678a | 983 | py | Python | tests/test_attrs.py | sbuss/pydockerfile | aa6a6d7dc79a3682ef3c56aad8228cc24b41973d | [
"MIT"
] | null | null | null | tests/test_attrs.py | sbuss/pydockerfile | aa6a6d7dc79a3682ef3c56aad8228cc24b41973d | [
"MIT"
] | null | null | null | tests/test_attrs.py | sbuss/pydockerfile | aa6a6d7dc79a3682ef3c56aad8228cc24b41973d | [
"MIT"
] | 2 | 2015-10-16T14:32:50.000Z | 2017-02-09T18:02:01.000Z | from tests.fixtures import basic_dockerfile # nopep8
from tests.fixtures import dockerfile_with_comments # nopep8
basic_dockerfile # shut up pep8
dockerfile_with_comments # shut up pep8
def test_from(basic_dockerfile):
assert basic_dockerfile.FROM
assert len(basic_dockerfile.FROM) == 1
assert basic_dockerfile.FROM[0].args == "ubuntu:trusty"
def test_many(basic_dockerfile):
assert basic_dockerfile.RUN
assert len(basic_dockerfile.RUN) == 3
assert basic_dockerfile.RUN[0].cmd == "RUN"
assert basic_dockerfile.RUN[0].args == "apt-get update"
assert basic_dockerfile.RUN[1].args == "apt-get install -y python"
assert basic_dockerfile.RUN[2].args == "apt-get install -y python-pip"
def test_comments(dockerfile_with_comments):
assert len(dockerfile_with_comments.FROM) == 1
assert len(dockerfile_with_comments.RUN) == 1
assert len(dockerfile_with_comments.CMD) == 1
assert len(getattr(dockerfile_with_comments, '#')) == 3
| 35.107143 | 74 | 0.749746 | 137 | 983 | 5.160584 | 0.248175 | 0.275813 | 0.217822 | 0.169731 | 0.374823 | 0.158416 | 0 | 0 | 0 | 0 | 0 | 0.017943 | 0.149542 | 983 | 27 | 75 | 36.407407 | 0.827751 | 0.039674 | 0 | 0 | 0 | 0 | 0.090522 | 0 | 0 | 0 | 0 | 0 | 0.65 | 1 | 0.15 | false | 0 | 0.1 | 0 | 0.25 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
bb970afede1ceb2d9ae6c225722776b94e2b2a80 | 337 | py | Python | assist/util.py | colonelzentor/assist | 55e4ff2dcf048652872fe6dc21d9492600acc1ba | [
"MIT"
] | 1 | 2021-04-14T19:51:32.000Z | 2021-04-14T19:51:32.000Z | assist/util.py | colonelzentor/assist | 55e4ff2dcf048652872fe6dc21d9492600acc1ba | [
"MIT"
] | null | null | null | assist/util.py | colonelzentor/assist | 55e4ff2dcf048652872fe6dc21d9492600acc1ba | [
"MIT"
] | null | null | null | def verify_value(name, value, min_value=None, max_value=None, units='unitless'):
if value is not None and ((min_value is not None and value < min_value) or (max_value is not None and value > max_value)):
raise ValueError("Value for '{}' [{} ({})] outside of bounds [{}, {}]".format(name, value, units, min_value, max_value))
| 84.25 | 128 | 0.682493 | 53 | 337 | 4.169811 | 0.396226 | 0.144796 | 0.135747 | 0.190045 | 0.276018 | 0.199095 | 0 | 0 | 0 | 0 | 0 | 0 | 0.166172 | 337 | 3 | 129 | 112.333333 | 0.786477 | 0 | 0 | 0 | 0 | 0 | 0.175074 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
bba6d6bcfb5649d2ea70309e9365d61a73e48477 | 1,616 | py | Python | src/datashare/azext_datashare/generated/_client_factory.py | Mannan2812/azure-cli-extensions | e2b34efe23795f6db9c59100534a40f0813c3d95 | [
"MIT"
] | 207 | 2017-11-29T06:59:41.000Z | 2022-03-31T10:00:53.000Z | src/datashare/azext_datashare/generated/_client_factory.py | Mannan2812/azure-cli-extensions | e2b34efe23795f6db9c59100534a40f0813c3d95 | [
"MIT"
] | 4,061 | 2017-10-27T23:19:56.000Z | 2022-03-31T23:18:30.000Z | src/datashare/azext_datashare/generated/_client_factory.py | Mannan2812/azure-cli-extensions | e2b34efe23795f6db9c59100534a40f0813c3d95 | [
"MIT"
] | 802 | 2017-10-11T17:36:26.000Z | 2022-03-31T22:24:32.000Z | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------------------------------
def cf_datashare(cli_ctx, *_):
from azure.cli.core.commands.client_factory import get_mgmt_service_client
from ..vendored_sdks.datashare import DataShareManagementClient
return get_mgmt_service_client(cli_ctx, DataShareManagementClient)
def cf_account(cli_ctx, *_):
return cf_datashare(cli_ctx).account
def cf_consumer_invitation(cli_ctx, *_):
return cf_datashare(cli_ctx).consumer_invitation
def cf_data_set(cli_ctx, *_):
return cf_datashare(cli_ctx).data_set
def cf_data_set_mapping(cli_ctx, *_):
return cf_datashare(cli_ctx).data_set_mapping
def cf_invitation(cli_ctx, *_):
return cf_datashare(cli_ctx).invitation
def cf_share(cli_ctx, *_):
return cf_datashare(cli_ctx).share
def cf_provider_share_subscription(cli_ctx, *_):
return cf_datashare(cli_ctx).provider_share_subscription
def cf_share_subscription(cli_ctx, *_):
return cf_datashare(cli_ctx).share_subscription
def cf_consumer_source_data_set(cli_ctx, *_):
return cf_datashare(cli_ctx).consumer_source_data_set
def cf_synchronization_setting(cli_ctx, *_):
return cf_datashare(cli_ctx).synchronization_setting
def cf_trigger(cli_ctx, *_):
return cf_datashare(cli_ctx).trigger
| 29.381818 | 95 | 0.673267 | 196 | 1,616 | 5.096939 | 0.260204 | 0.144144 | 0.168168 | 0.204204 | 0.427427 | 0.427427 | 0.427427 | 0.34034 | 0.207207 | 0 | 0 | 0 | 0.142327 | 1,616 | 54 | 96 | 29.925926 | 0.720779 | 0.207921 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.461538 | false | 0 | 0.076923 | 0.423077 | 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 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 4 |
bbbab7491f97a2fe7a9ce869b4be98162075c512 | 3,199 | py | Python | dia/libs/Properties.py | sosie-js/dia-test | eebf777c65487002ac9cb6cd4dd9e97466ba0f93 | [
"CC0-1.0"
] | null | null | null | dia/libs/Properties.py | sosie-js/dia-test | eebf777c65487002ac9cb6cd4dd9e97466ba0f93 | [
"CC0-1.0"
] | null | null | null | dia/libs/Properties.py | sosie-js/dia-test | eebf777c65487002ac9cb6cd4dd9e97466ba0f93 | [
"CC0-1.0"
] | null | null | null | """
pydia: Properties.py - 2021.11
================================================
Template code generated from UML diagrams of PyDia
with 'dia2code -t python ../dia2code/PyDiaObjects.dia'
Note: Experimental, will be obsolete if we found a way to use libdia /pydia libraries
Author: SoSie@sos-productions.com
License: LGPL
"""
import _once
_once.imported['Properties']=None
if not 'Property' in _once.imported.keys() :
from dia.libs.Property import Property
class Properties(dict):
"""Class Properties
A dictionary interface to dia.Object's standard properties.
Many propertiescan be get and set through this. If there is a specific method
to change anobjects property like o.move() or o.move_handle() use that instead. """
# Attributes:
# Operations
def __init__(self, props, *args):
dict.__init__(self, args) #I wonder if we really need this
for prop in props.values():
name = prop["name"]
type = prop["type"]
value = prop["value"]
visible = prop["visible"]
self.__dict__[name] =Property(name, type, value, visible)
def __setitem__(self, name, type, value, visible):
prop = Property(name, type, value, visible)
self.__dict__[key] = prop #item
def __getitem__(self, key):
#Make object subscritable ie if 'properties' is an instance of Properties
#make properties[key] possible, equivalent in our case to properties.get(key)"""
return self.__dict__[key]
def get (self, key) :
"""get(key: str) -> Property
returns the property matching the key """
val = self[key]
return val
def __repr__(self):
return repr(self.__dict__)
def __len__(self):
return len(self.__dict__)
def __delitem__(self, key):
del self.__dict__[key]
def clear(self):
return self.__dict__.clear()
def copy(self):
return self.__dict__.copy()
def has_key(self, k):
"""has_key(key: str) -> bool
returns True if a property matching the key exists else False
"""
return k in self.__dict__
def update(self, *args, **kwargs):
return self.__dict__.update(*args, **kwargs)
def keys(self):
"""keys() -> list of str
Get the list of property names
"""
return self.__dict__.keys()
def values(self):
return self.__dict__.values()
def items(self):
return self.__dict__.items()
def pop(self, *args):
return self.__dict__.pop(*args)
def __cmp__(self, dict_):
return self.__cmp__(self.__dict__, dict_)
def __contains__(self, item):
return item in self.__dict__
def __iter__(self):
return iter(self.__dict__)
def __unicode__(self):
return unicode(repr(self.__dict__))
_once.imported['Properties']= Properties
for name, object in _once.imported.items():
globals()[name]=object
"""
foo={"n1":{"name":"n1","type":"t1","value":"v1","visible":"d1"}}
bar=Properties(foo)
print(bar.keys())
print("--")
print(bar.has_key("n1"))
print(bar.get("n1"))
""" | 27.34188 | 89 | 0.612379 | 401 | 3,199 | 4.558603 | 0.356608 | 0.083151 | 0.061269 | 0.039387 | 0.030635 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006284 | 0.253829 | 3,199 | 117 | 90 | 27.34188 | 0.759531 | 0.305721 | 0 | 0 | 1 | 0 | 0.024628 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.351852 | false | 0 | 0.111111 | 0.240741 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 4 |
bbe4b12f6b3e182108d649e06e456db47e10f5e0 | 99 | py | Python | src/sampleinfo/main.py | Manjunathsk92/sampleinfo | 7b365818caebb97022a02d636e171988c99ae033 | [
"MIT"
] | null | null | null | src/sampleinfo/main.py | Manjunathsk92/sampleinfo | 7b365818caebb97022a02d636e171988c99ae033 | [
"MIT"
] | null | null | null | src/sampleinfo/main.py | Manjunathsk92/sampleinfo | 7b365818caebb97022a02d636e171988c99ae033 | [
"MIT"
] | null | null | null | import platform
def main():
return(platform.platform())
if __name__=='__main__':
main()
| 11 | 31 | 0.656566 | 11 | 99 | 5.181818 | 0.636364 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.191919 | 99 | 8 | 32 | 12.375 | 0.7125 | 0 | 0 | 0 | 0 | 0 | 0.080808 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | true | 0 | 0.2 | 0.2 | 0.4 | 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 | 0 | 1 | 0 | 0 | 0 | 4 |
a5287e7dc00aa5ccbe0fa1c1aadfdd66cb4ef2c1 | 52 | py | Python | python/testData/formatter/spacesAfterFromInYieldFrom_after.py | jnthn/intellij-community | 8fa7c8a3ace62400c838e0d5926a7be106aa8557 | [
"Apache-2.0"
] | 2 | 2019-04-28T07:48:50.000Z | 2020-12-11T14:18:08.000Z | python/testData/formatter/spacesAfterFromInYieldFrom_after.py | jnthn/intellij-community | 8fa7c8a3ace62400c838e0d5926a7be106aa8557 | [
"Apache-2.0"
] | 173 | 2018-07-05T13:59:39.000Z | 2018-08-09T01:12:03.000Z | python/testData/formatter/spacesAfterFromInYieldFrom_after.py | jnthn/intellij-community | 8fa7c8a3ace62400c838e0d5926a7be106aa8557 | [
"Apache-2.0"
] | 2 | 2020-03-15T08:57:37.000Z | 2020-04-07T04:48:14.000Z | def g():
yield 42
def f():
yield from g()
| 7.428571 | 18 | 0.480769 | 9 | 52 | 2.777778 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.060606 | 0.365385 | 52 | 6 | 19 | 8.666667 | 0.69697 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | true | 0 | 0 | 0 | 0.5 | 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 | 0 | 0 | 0 | 4 |
a5327ef2536404024198d6379e1c3168625c4bc8 | 159 | py | Python | src/oolongt/__init__.py | schmamps/textteaser | e948ac6c0a4a4a44c7011206d7df236529d7813d | [
"MIT"
] | 2 | 2020-02-18T09:13:13.000Z | 2021-06-12T13:16:13.000Z | src/oolongt/__init__.py | schmamps/textteaser | e948ac6c0a4a4a44c7011206d7df236529d7813d | [
"MIT"
] | null | null | null | src/oolongt/__init__.py | schmamps/textteaser | e948ac6c0a4a4a44c7011206d7df236529d7813d | [
"MIT"
] | 1 | 2019-05-05T14:43:53.000Z | 2019-05-05T14:43:53.000Z | """package init"""
from .constants import BUILTIN, DEFAULT_IDIOM, DEFAULT_LENGTH # noqa: F401
from .text import score_body_sentences, summarize # noqa: F401
| 39.75 | 75 | 0.773585 | 21 | 159 | 5.666667 | 0.761905 | 0.134454 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.043478 | 0.132075 | 159 | 3 | 76 | 53 | 0.818841 | 0.220126 | 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 | 0 | 0 | 0 | 4 |
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