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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
162fc7dd93638ec5fe98277d336961116226924c
| 408
|
py
|
Python
|
.history/award/serializers_20201129160732.py
|
Nyash-Mauro/awwards
|
aa8200a4d2a26a9d022f0ebda280379c1b3761c3
|
[
"MIT"
] | null | null | null |
.history/award/serializers_20201129160732.py
|
Nyash-Mauro/awwards
|
aa8200a4d2a26a9d022f0ebda280379c1b3761c3
|
[
"MIT"
] | null | null | null |
.history/award/serializers_20201129160732.py
|
Nyash-Mauro/awwards
|
aa8200a4d2a26a9d022f0ebda280379c1b3761c3
|
[
"MIT"
] | null | null | null |
from .models import Post,Profile
from rest_framework import serializers
class PostSerializer(serializers.HyperlinkedModelSerializer):
class Meta:
model = Post
fields = ('title','image','description','link')
class ProfileSeralizer(serializers.HyperlinkedModelSerializer):
class Meta:
model = Profile
fields = (' First_Name','Last_Name',' Email',' bio',' profile_pic')
| 34
| 75
| 0.710784
| 40
| 408
| 7.15
| 0.625
| 0.258741
| 0.293706
| 0.321678
| 0.356643
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.178922
| 408
| 12
| 75
| 34
| 0.853731
| 0
| 0
| 0.2
| 0
| 0
| 0.163814
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.2
| 0
| 0.6
| 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
|
163174da5b682d33915f2cafa6bb9737cd39f415
| 2,209
|
py
|
Python
|
maya/app/renderSetup/model/initialize.py
|
arjun-namdeo/py_stubs
|
605bb167e239978f5417f3f1fc1f5c12e2a243cc
|
[
"MIT"
] | null | null | null |
maya/app/renderSetup/model/initialize.py
|
arjun-namdeo/py_stubs
|
605bb167e239978f5417f3f1fc1f5c12e2a243cc
|
[
"MIT"
] | null | null | null |
maya/app/renderSetup/model/initialize.py
|
arjun-namdeo/py_stubs
|
605bb167e239978f5417f3f1fc1f5c12e2a243cc
|
[
"MIT"
] | null | null | null |
from maya.app.renderSetup.model.applyOverride import *
from maya.app.renderSetup.model.dragAndDropBehavior import *
from maya.app.renderSetup.model.modelCmds import getMembersAsLongNames
from maya.app.renderSetup.model.override import RelOverrideComputeClass
from maya.app.renderSetup.model.override import AbsOverride
from maya.app.renderSetup.model.selector import Selector
from maya.app.renderSetup.model.override import Override
from maya.app.renderSetup.model.modelCmds import getLongName
from maya.app.renderSetup.model.modelCmds import getCollections
from maya.app.renderSetup.model.override import RelOverride
from maya.app.renderSetup.model.modelCmds import isCollectionMember
from maya.app.renderSetup.model.selector import BasicSelector
from maya.app.renderSetup.model.modelCmds import RenderSetupFindCollectionsCmd
from maya.app.renderSetup.model.modelCmds import RenderSetupCmd
from maya.app.renderSetup.model.renderLayer import RenderLayer
from maya.app.renderSetup.model.modelCmds import notInRenderLayers
from maya.app.renderSetup.model.modelCmds import RenderLayerMembersCmd
from maya.app.renderSetup.model.override import ValueOverride
from maya.app.renderSetup.model.override import UnapplyCmd
from maya.app.renderSetup.model.modelCmds import longNamesToNamesDict
from maya.app.renderSetup.model.override import fillVector
from maya.app.renderSetup.model.override import AbsOverrideComputeClass
from maya.app.renderSetup.model.modelCmds import renderSetupFindCollections
from maya.app.renderSetup.model.collection import Collection
from maya.app.renderSetup.model.modelCmds import inRenderLayers
from maya.app.renderSetup.model.modelCmds import RenderSetupLegacyLayerCmd
from maya.app.renderSetup.model.collection import LightsCollection
from maya.app.renderSetup.model.modelCmds import renderLayerMembers
def delete(*args, **kwargs):
pass
def getClassification(type):
pass
def uninitialize(mplugin):
pass
def initialize(mplugin):
pass
syntaxCommands = []
nodeTypes = []
kUnconnectableAttr = []
kNotInNeedAListToFilter = []
kLockedPlug = []
nodeDragAndDropBehaviors = []
classifications = {}
kInvalidNodeName = []
kUnapplyCmdPrivate = []
commands = []
| 32.014493
| 78
| 0.840199
| 249
| 2,209
| 7.453815
| 0.220884
| 0.12069
| 0.165948
| 0.331897
| 0.61153
| 0.582435
| 0.561422
| 0
| 0
| 0
| 0
| 0
| 0.08737
| 2,209
| 68
| 79
| 32.485294
| 0.920635
| 0
| 0
| 0.086957
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.086957
| false
| 0.086957
| 0.608696
| 0
| 0.695652
| 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
| 0
| 1
| 1
| 0
| 1
| 0
|
0
| 4
|
163c84fe8d93e45a6d1e4fc6375dcf9e6a19f3b4
| 1,412
|
py
|
Python
|
froide/publicbody/migrations/0033_auto_20210203_1554.py
|
xenein/froide
|
59bd3eeded3c3ed00fbc858fe20bfea99c8dbefa
|
[
"MIT"
] | 198
|
2016-12-03T22:42:55.000Z
|
2022-03-25T15:08:36.000Z
|
froide/publicbody/migrations/0033_auto_20210203_1554.py
|
xenein/froide
|
59bd3eeded3c3ed00fbc858fe20bfea99c8dbefa
|
[
"MIT"
] | 264
|
2016-11-30T18:53:17.000Z
|
2022-03-17T11:34:18.000Z
|
froide/publicbody/migrations/0033_auto_20210203_1554.py
|
xenein/froide
|
59bd3eeded3c3ed00fbc858fe20bfea99c8dbefa
|
[
"MIT"
] | 42
|
2016-12-22T04:08:27.000Z
|
2022-02-26T08:30:38.000Z
|
# Generated by Django 3.1.4 on 2021-02-03 14:54
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
("publicbody", "0032_auto_20201221_1953"),
]
operations = [
migrations.RenameField(
model_name="foilaw",
old_name="description",
new_name="_description",
),
migrations.RenameField(
model_name="foilaw",
old_name="letter_end",
new_name="_letter_end",
),
migrations.RenameField(
model_name="foilaw",
old_name="letter_start",
new_name="_letter_start",
),
migrations.RenameField(
model_name="foilaw",
old_name="long_description",
new_name="_long_description",
),
migrations.RenameField(
model_name="foilaw",
old_name="name",
new_name="_name",
),
migrations.RenameField(
model_name="foilaw",
old_name="request_note",
new_name="_request_note",
),
migrations.RenameField(
model_name="foilaw",
old_name="slug",
new_name="_slug",
),
migrations.RenameField(
model_name="foilaw",
old_name="refusal_reasons",
new_name="_refusal_reasons",
),
]
| 26.148148
| 50
| 0.531161
| 126
| 1,412
| 5.595238
| 0.325397
| 0.238298
| 0.295035
| 0.340426
| 0.53617
| 0.53617
| 0.53617
| 0.231206
| 0
| 0
| 0
| 0.03433
| 0.360482
| 1,412
| 53
| 51
| 26.641509
| 0.746401
| 0.03187
| 0
| 0.510638
| 1
| 0
| 0.188278
| 0.01685
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.021277
| 0
| 0.085106
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
163e13c28e42ab8be315f2aa8ebec1540b903b68
| 653
|
py
|
Python
|
bin/server/requests.py
|
vyahello/uah-ex-rate-bot
|
352b1954d5e53104816852d1f5f34b90bb5b02c7
|
[
"MIT"
] | null | null | null |
bin/server/requests.py
|
vyahello/uah-ex-rate-bot
|
352b1954d5e53104816852d1f5f34b90bb5b02c7
|
[
"MIT"
] | null | null | null |
bin/server/requests.py
|
vyahello/uah-ex-rate-bot
|
352b1954d5e53104816852d1f5f34b90bb5b02c7
|
[
"MIT"
] | 2
|
2019-10-30T16:47:08.000Z
|
2020-01-01T18:45:46.000Z
|
from abc import ABC, ABCMeta, abstractmethod
from typing import Dict, Any
from flask import request
from werkzeug.local import LocalProxy
class Request(ABC):
"""Abstraction of a request."""
__metaclass__: type = ABCMeta
@abstractmethod
def method(self) -> str:
pass
@abstractmethod
def dct(self) -> Dict[Any, Any]:
pass
class ServerRequest(Request):
"""Concrete server request."""
def __init__(self) -> None:
self._request: LocalProxy = request
def method(self) -> str:
return self._request.method
def dct(self) -> Dict[Any, Any]:
return self._request.get_json()
| 20.40625
| 44
| 0.653905
| 77
| 653
| 5.38961
| 0.428571
| 0.050602
| 0.062651
| 0.077108
| 0.096386
| 0.096386
| 0
| 0
| 0
| 0
| 0
| 0
| 0.24196
| 653
| 31
| 45
| 21.064516
| 0.838384
| 0.07657
| 0
| 0.421053
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.263158
| false
| 0.105263
| 0.210526
| 0.105263
| 0.736842
| 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
|
16470f3ad6b3ac681c7d776e0796696e77bda58d
| 3,669
|
py
|
Python
|
tests/test_service_catalog/test_api/test_request/test_request_delete.py
|
LaudateCorpus1/squest
|
98304f20c1d966fb3678d348ffd7c5be438bb6be
|
[
"Apache-2.0"
] | null | null | null |
tests/test_service_catalog/test_api/test_request/test_request_delete.py
|
LaudateCorpus1/squest
|
98304f20c1d966fb3678d348ffd7c5be438bb6be
|
[
"Apache-2.0"
] | null | null | null |
tests/test_service_catalog/test_api/test_request/test_request_delete.py
|
LaudateCorpus1/squest
|
98304f20c1d966fb3678d348ffd7c5be438bb6be
|
[
"Apache-2.0"
] | 1
|
2022-03-24T03:37:12.000Z
|
2022-03-24T03:37:12.000Z
|
from rest_framework import status
from rest_framework.reverse import reverse
from service_catalog.models import Request, RequestState
from tests.test_service_catalog.base_test_request import BaseTestRequest
class TestApiRequestDelete(BaseTestRequest):
def setUp(self):
super(TestApiRequestDelete, self).setUp()
self.test_request_standard_user_1 = Request.objects.create(
fill_in_survey={},
instance=self.test_instance,
operation=self.create_operation_test,
user=self.standard_user
)
self.test_request_standard_user_2 = Request.objects.create(
fill_in_survey={},
instance=self.test_instance_2,
operation=self.create_operation_test,
user=self.standard_user_2
)
self.request_to_delete_id = self.test_request_standard_user_1.id
self.kwargs = {
'pk': self.test_request_standard_user_1.id
}
self.get_request_details_url = reverse('api_request_details', kwargs=self.kwargs)
def test_admin_delete_request(self):
request_count = Request.objects.count()
response = self.client.delete(self.get_request_details_url)
self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)
self.assertEqual(request_count - 1, Request.objects.count())
self.assertFalse(Request.objects.filter(id=self.request_to_delete_id).exists())
def test_customer_cannot_delete_his_request_not_canceled(self):
self.client.force_login(user=self.standard_user)
response = self.client.delete(self.get_request_details_url)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
self.assertTrue(
"Request state must be 'CANCELED' to delete this request." in response.rendered_content.decode("utf-8"))
def test_customer_delete_his_request_canceled(self):
self.test_request_standard_user_1.state = RequestState.CANCELED
self.test_request_standard_user_1.save()
request_count = Request.objects.count()
self.client.force_login(user=self.standard_user)
response = self.client.delete(self.get_request_details_url)
self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)
self.assertEqual(request_count - 1, Request.objects.count())
self.assertFalse(Request.objects.filter(id=self.request_to_delete_id).exists())
def test_customer_cannot_delete_non_owned_request_not_canceled(self):
self.client.force_login(user=self.standard_user)
self.kwargs['pk'] = self.test_request_standard_user_2.id
self.get_request_details_url = reverse('api_request_details', kwargs=self.kwargs)
response = self.client.delete(self.get_request_details_url)
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
def test_customer_cannot_delete_non_owned_request_canceled(self):
self.test_request_standard_user_2.state = RequestState.CANCELED
self.test_request_standard_user_2.save()
self.kwargs['pk'] = self.test_request_standard_user_2.id
self.get_request_details_url = reverse('api_request_details', kwargs=self.kwargs)
self.client.logout()
self.client.force_login(user=self.standard_user)
response = self.client.delete(self.get_request_details_url)
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
def test_cannot_delete_request_when_logout(self):
self.client.logout()
response = self.client.delete(self.get_request_details_url)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
| 48.92
| 116
| 0.738893
| 471
| 3,669
| 5.388535
| 0.167728
| 0.07565
| 0.059102
| 0.090623
| 0.807329
| 0.774626
| 0.750985
| 0.750985
| 0.631994
| 0.591017
| 0
| 0.010909
| 0.175525
| 3,669
| 74
| 117
| 49.581081
| 0.828099
| 0
| 0
| 0.515625
| 0
| 0
| 0.033797
| 0
| 0
| 0
| 0
| 0
| 0.171875
| 1
| 0.109375
| false
| 0
| 0.0625
| 0
| 0.1875
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
164bf4a5b8487e53a451476177d50a18da86d0be
| 119
|
py
|
Python
|
tcgplayer_api/utils.py
|
ZaxR/tcgplayer-api-client-python
|
2ff2cad4eef334a20ba24ad0688bae496115f187
|
[
"CNRI-Python"
] | 4
|
2020-07-12T12:25:34.000Z
|
2022-03-05T05:11:38.000Z
|
tcgplayer_api/utils.py
|
ZaxR/tcgplayer-api-client-python
|
2ff2cad4eef334a20ba24ad0688bae496115f187
|
[
"CNRI-Python"
] | 1
|
2021-07-03T11:18:44.000Z
|
2021-07-03T11:18:44.000Z
|
tcgplayer_api/utils.py
|
ZaxR/tcgplayer-api-client-python
|
2ff2cad4eef334a20ba24ad0688bae496115f187
|
[
"CNRI-Python"
] | 1
|
2021-04-10T17:57:52.000Z
|
2021-04-10T17:57:52.000Z
|
""" """
def words_to_snake_case(s):
components = s.split(' ')
return '_'.join(x.lower() for x in components)
| 17
| 50
| 0.605042
| 17
| 119
| 4
| 0.823529
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.201681
| 119
| 6
| 51
| 19.833333
| 0.715789
| 0
| 0
| 0
| 0
| 0
| 0.017857
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
165d7306c367302c5b0c4c42453516d93a6ae210
| 582
|
py
|
Python
|
allennlp_models/structured_prediction/dataset_readers/__init__.py
|
zhiyangxu-umass/allennlp-models
|
d922f7a8075387ebed1a3e38e588345f706d3f02
|
[
"Apache-2.0"
] | null | null | null |
allennlp_models/structured_prediction/dataset_readers/__init__.py
|
zhiyangxu-umass/allennlp-models
|
d922f7a8075387ebed1a3e38e588345f706d3f02
|
[
"Apache-2.0"
] | null | null | null |
allennlp_models/structured_prediction/dataset_readers/__init__.py
|
zhiyangxu-umass/allennlp-models
|
d922f7a8075387ebed1a3e38e588345f706d3f02
|
[
"Apache-2.0"
] | null | null | null |
from allennlp_models.structured_prediction.dataset_readers.penn_tree_bank import (
PennTreeBankConstituencySpanDatasetReader,
)
from allennlp_models.structured_prediction.dataset_readers.semantic_dependencies import (
SemanticDependenciesDatasetReader,
)
from allennlp_models.structured_prediction.dataset_readers.srl import SrlReader
from allennlp_models.structured_prediction.dataset_readers.universal_dependencies import (
UniversalDependenciesDatasetReader,
)
from allennlp_models.structured_prediction.dataset_readers.srl_self_training import SrlSelfTrainingReader
| 48.5
| 105
| 0.893471
| 56
| 582
| 8.910714
| 0.392857
| 0.12024
| 0.180361
| 0.280561
| 0.533066
| 0.533066
| 0.533066
| 0.220441
| 0
| 0
| 0
| 0
| 0.065292
| 582
| 11
| 106
| 52.909091
| 0.917279
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.454545
| 0
| 0.454545
| 0
| 0
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| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
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| 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
|
16b592fd8ff38aaacb77b3bed0c8907139b5b5b7
| 567
|
py
|
Python
|
models/user.py
|
yanchen01/movie-recommendation-api
|
1e661cebeda5e49bb868728b70901f548e72bea2
|
[
"MIT"
] | null | null | null |
models/user.py
|
yanchen01/movie-recommendation-api
|
1e661cebeda5e49bb868728b70901f548e72bea2
|
[
"MIT"
] | null | null | null |
models/user.py
|
yanchen01/movie-recommendation-api
|
1e661cebeda5e49bb868728b70901f548e72bea2
|
[
"MIT"
] | null | null | null |
import mongoengine as me
class User(me.Document):
email = me.StringField(required=True, unique=True)
username = me.StringField(required=True, unique=True)
password_hash = me.StringField(required=True)
name = me.StringField(required=True)
# def __init__(self, email=None, password=None, name=None):
# self.email = email
# self.password_hash = password
# self.name = name
def json(self):
return {
'name': self.name,
'username': self.username,
'email': self.email
}
| 27
| 63
| 0.613757
| 65
| 567
| 5.261538
| 0.338462
| 0.152047
| 0.245614
| 0.292398
| 0.204678
| 0.204678
| 0
| 0
| 0
| 0
| 0
| 0
| 0.269841
| 567
| 20
| 64
| 28.35
| 0.826087
| 0.238095
| 0
| 0
| 0
| 0
| 0.039813
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.083333
| false
| 0.083333
| 0.083333
| 0.083333
| 0.666667
| 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
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
16c4fe89d83d6189e083f25a284bcb23e9a0f937
| 102
|
py
|
Python
|
io_utils.py
|
nicolay-r/frame-based-attitude-extraction-workflow
|
f20e6d17a9eb6613028545b889c74626a8260ccd
|
[
"MIT"
] | null | null | null |
io_utils.py
|
nicolay-r/frame-based-attitude-extraction-workflow
|
f20e6d17a9eb6613028545b889c74626a8260ccd
|
[
"MIT"
] | 6
|
2020-10-03T13:45:38.000Z
|
2021-07-13T18:31:57.000Z
|
io_utils.py
|
nicolay-r/frame-based-attitude-extraction-workflow
|
f20e6d17a9eb6613028545b889c74626a8260ccd
|
[
"MIT"
] | null | null | null |
import os
def create_dir(out_dir):
if not os.path.exists(out_dir):
os.makedirs(out_dir)
| 14.571429
| 35
| 0.676471
| 18
| 102
| 3.611111
| 0.611111
| 0.276923
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.215686
| 102
| 6
| 36
| 17
| 0.8125
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
16d44925a7934ecd12abb1036f7b55f8facf8402
| 196
|
py
|
Python
|
input_parameter.py
|
freyzor/efficacy
|
b40e52620b1fe3eb641fdfeb2d9a9d4daeb52d48
|
[
"MIT"
] | null | null | null |
input_parameter.py
|
freyzor/efficacy
|
b40e52620b1fe3eb641fdfeb2d9a9d4daeb52d48
|
[
"MIT"
] | null | null | null |
input_parameter.py
|
freyzor/efficacy
|
b40e52620b1fe3eb641fdfeb2d9a9d4daeb52d48
|
[
"MIT"
] | null | null | null |
class InputBroker:
"""Abstract class responsible for providing raw values when considering scores"""
def get_input_value(self, consideration, context):
raise NotImplementedError()
| 39.2
| 85
| 0.755102
| 21
| 196
| 6.952381
| 0.952381
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.173469
| 196
| 4
| 86
| 49
| 0.901235
| 0.382653
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
bc4358302fde6593dce984178824a1bda8686951
| 1,558
|
py
|
Python
|
tests/test_components.py
|
cropsinsilico/yggdrasil
|
466a4f77605a6f461d57ef7b165a6db7eec4d1fd
|
[
"BSD-3-Clause"
] | 22
|
2019-02-05T15:20:07.000Z
|
2022-02-25T09:00:40.000Z
|
tests/test_components.py
|
cropsinsilico/yggdrasil
|
466a4f77605a6f461d57ef7b165a6db7eec4d1fd
|
[
"BSD-3-Clause"
] | 48
|
2019-02-15T20:41:24.000Z
|
2022-03-16T20:52:02.000Z
|
tests/test_components.py
|
cropsinsilico/yggdrasil
|
466a4f77605a6f461d57ef7b165a6db7eec4d1fd
|
[
"BSD-3-Clause"
] | 16
|
2019-04-27T03:36:40.000Z
|
2021-12-02T09:47:06.000Z
|
import pytest
from yggdrasil import components
def test_import_component():
r"""Test dynamic import of component."""
# Test use of default
components.import_component('serializer')
components.import_component('serializer')
# Test explict type (but still new to registry)
components.import_component('serializer', 'direct')
components.import_component('serializer', 'direct')
# Using key specific to component
components.import_component('serializer', seritype='direct')
# Test using class name
components.import_component('serializer', 'PandasSerialize')
# Test access to file through comm (including error)
components.import_component('comm', 'pickle')
with pytest.raises(components.ComponentError):
components.import_component('comm', 'invalid')
# Tests with registry suspended
out = components.suspend_registry()
components.import_component('serializer')
components.import_component('serializer', 'direct')
components.import_component('serializer', 'PandasSerialize')
components.restore_registry(out)
def test_create_component():
r"""Test dynamic creation of component instance."""
x = components.create_component('serializer', seritype='direct')
assert(components.isinstance_component(x, ['serializer']))
assert(components.isinstance_component(x, ['comm', 'serializer']))
assert(not components.isinstance_component(x, ['comm']))
x = components.create_component('serializer')
assert(components.isinstance_component(x, ['serializer']))
| 42.108108
| 70
| 0.741335
| 164
| 1,558
| 6.902439
| 0.317073
| 0.159011
| 0.242933
| 0.278269
| 0.514134
| 0.34894
| 0.227032
| 0.227032
| 0.134276
| 0
| 0
| 0
| 0.14249
| 1,558
| 36
| 71
| 43.277778
| 0.847305
| 0.179718
| 0
| 0.384615
| 0
| 0
| 0.181458
| 0
| 0
| 0
| 0
| 0
| 0.153846
| 1
| 0.076923
| false
| 0
| 0.538462
| 0
| 0.615385
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
bc4c7d2cb5095be39ea53ead06b37246c4c5d7a9
| 26
|
py
|
Python
|
tests/__init__.py
|
nialov/nialog
|
bcaed0df1b4c9d0843aab51ca2911e273dd70fcd
|
[
"MIT"
] | null | null | null |
tests/__init__.py
|
nialov/nialog
|
bcaed0df1b4c9d0843aab51ca2911e273dd70fcd
|
[
"MIT"
] | null | null | null |
tests/__init__.py
|
nialov/nialog
|
bcaed0df1b4c9d0843aab51ca2911e273dd70fcd
|
[
"MIT"
] | null | null | null |
"""
Tests for nialog.
"""
| 6.5
| 17
| 0.538462
| 3
| 26
| 4.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.192308
| 26
| 3
| 18
| 8.666667
| 0.666667
| 0.653846
| 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
|
bc682fba85fd557ac9eb915abcd32338e336a895
| 220
|
py
|
Python
|
src/inmediag/apps.py
|
TechFitU/MDSOM
|
01f58277ec99051cc857de65ce6b240a177da19c
|
[
"MIT"
] | null | null | null |
src/inmediag/apps.py
|
TechFitU/MDSOM
|
01f58277ec99051cc857de65ce6b240a177da19c
|
[
"MIT"
] | null | null | null |
src/inmediag/apps.py
|
TechFitU/MDSOM
|
01f58277ec99051cc857de65ce6b240a177da19c
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.apps import AppConfig
class MDSOMConfig(AppConfig):
name = 'inmediag'
label = 'inmediag'
verbose_name = u"Diagnóstico Médico Mante"
| 27.5
| 46
| 0.727273
| 26
| 220
| 5.923077
| 0.807692
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005495
| 0.172727
| 220
| 8
| 46
| 27.5
| 0.840659
| 0.095455
| 0
| 0
| 0
| 0
| 0.20202
| 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
|
bcbbc982f94709092ab0ce4dd440d060c92f44be
| 91
|
py
|
Python
|
eshopper/apps.py
|
vaidgaurav7/quasar-burst
|
1e283783db79092e0ce04437418a42920dd1e0ae
|
[
"MIT"
] | null | null | null |
eshopper/apps.py
|
vaidgaurav7/quasar-burst
|
1e283783db79092e0ce04437418a42920dd1e0ae
|
[
"MIT"
] | null | null | null |
eshopper/apps.py
|
vaidgaurav7/quasar-burst
|
1e283783db79092e0ce04437418a42920dd1e0ae
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class EshopperConfig(AppConfig):
name = 'eshopper'
| 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
|
bcc29ca4e93c597c49343c60f8e7908a2ffa8322
| 200
|
py
|
Python
|
tensorflow/csv_test/date_test.py
|
cateto/python4NLP
|
1d2d5086f907bf75be01762bf0b384c76d8f704e
|
[
"MIT"
] | 2
|
2021-12-16T22:38:27.000Z
|
2021-12-17T13:09:49.000Z
|
tensorflow/csv_test/date_test.py
|
cateto/python4NLP
|
1d2d5086f907bf75be01762bf0b384c76d8f704e
|
[
"MIT"
] | null | null | null |
tensorflow/csv_test/date_test.py
|
cateto/python4NLP
|
1d2d5086f907bf75be01762bf0b384c76d8f704e
|
[
"MIT"
] | null | null | null |
import datetime
start_date = datetime.date(2021,6,1)
end_date = datetime.date(2021,6,30)
delta = datetime.timedelta(days=1)
while start_date <= end_date:
print(start_date)
start_date += delta
| 25
| 36
| 0.745
| 32
| 200
| 4.46875
| 0.4375
| 0.251748
| 0.223776
| 0.27972
| 0.293706
| 0
| 0
| 0
| 0
| 0
| 0
| 0.080925
| 0.135
| 200
| 8
| 37
| 25
| 0.745665
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.142857
| 0
| 0.142857
| 0.142857
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
bcd738c07170cda466d727e037766a7b10c89b23
| 724
|
py
|
Python
|
build/navigation-melodic-devel/dwa_local_planner/catkin_generated/pkg.develspace.context.pc.py
|
Louis-AD-git/racecar_ws
|
3c5cb561d1aee11d80a7f3847e0334e93f345513
|
[
"MIT"
] | null | null | null |
build/navigation-melodic-devel/dwa_local_planner/catkin_generated/pkg.develspace.context.pc.py
|
Louis-AD-git/racecar_ws
|
3c5cb561d1aee11d80a7f3847e0334e93f345513
|
[
"MIT"
] | null | null | null |
build/navigation-melodic-devel/dwa_local_planner/catkin_generated/pkg.develspace.context.pc.py
|
Louis-AD-git/racecar_ws
|
3c5cb561d1aee11d80a7f3847e0334e93f345513
|
[
"MIT"
] | null | null | null |
# generated from catkin/cmake/template/pkg.context.pc.in
CATKIN_PACKAGE_PREFIX = ""
PROJECT_PKG_CONFIG_INCLUDE_DIRS = "/home/lzh/racecar_ws/devel/include;/home/lzh/racecar_ws/src/navigation-melodic-devel/dwa_local_planner/include".split(';') if "/home/lzh/racecar_ws/devel/include;/home/lzh/racecar_ws/src/navigation-melodic-devel/dwa_local_planner/include" != "" else []
PROJECT_CATKIN_DEPENDS = "base_local_planner;dynamic_reconfigure;nav_msgs;pluginlib;sensor_msgs;roscpp;tf2;tf2_ros".replace(';', ' ')
PKG_CONFIG_LIBRARIES_WITH_PREFIX = "-ldwa_local_planner".split(';') if "-ldwa_local_planner" != "" else []
PROJECT_NAME = "dwa_local_planner"
PROJECT_SPACE_DIR = "/home/lzh/racecar_ws/devel"
PROJECT_VERSION = "1.16.7"
| 80.444444
| 287
| 0.794199
| 106
| 724
| 5.075472
| 0.481132
| 0.133829
| 0.130112
| 0.148699
| 0.377323
| 0.33829
| 0.33829
| 0.33829
| 0.33829
| 0.33829
| 0
| 0.008759
| 0.053867
| 724
| 8
| 288
| 90.5
| 0.776642
| 0.074586
| 0
| 0
| 1
| 0.285714
| 0.597305
| 0.5
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 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
| 1
| 1
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
bcf8f5f073874501e2a9ac4c33d485571a7109ce
| 23
|
py
|
Python
|
orf_annotate/__init__.py
|
camillaugolini-iit/ORF_annotate-1
|
60b6090c3569e07909deb8769d95ecc0da035832
|
[
"MIT"
] | null | null | null |
orf_annotate/__init__.py
|
camillaugolini-iit/ORF_annotate-1
|
60b6090c3569e07909deb8769d95ecc0da035832
|
[
"MIT"
] | null | null | null |
orf_annotate/__init__.py
|
camillaugolini-iit/ORF_annotate-1
|
60b6090c3569e07909deb8769d95ecc0da035832
|
[
"MIT"
] | 1
|
2020-04-30T20:52:47.000Z
|
2020-04-30T20:52:47.000Z
|
__version__ = '0.1.0a'
| 11.5
| 22
| 0.652174
| 4
| 23
| 2.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.15
| 0.130435
| 23
| 1
| 23
| 23
| 0.4
| 0
| 0
| 0
| 0
| 0
| 0.26087
| 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
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
4c1724a9ffb0b547be84db37f7a84deec4848293
| 762
|
py
|
Python
|
mosqito/sound_level_meter/noct_spectrum/_nominal_frequency.py
|
MitchellAcoustics/MoSQITo
|
15e45888d08b2932909f50fd6af0ef9d5595a588
|
[
"Apache-2.0"
] | 1
|
2022-02-20T15:09:32.000Z
|
2022-02-20T15:09:32.000Z
|
mosqito/sound_level_meter/noct_spectrum/_nominal_frequency.py
|
MitchellAcoustics/MoSQITo
|
15e45888d08b2932909f50fd6af0ef9d5595a588
|
[
"Apache-2.0"
] | 1
|
2022-02-22T09:13:20.000Z
|
2022-02-22T09:13:20.000Z
|
mosqito/sound_level_meter/noct_spectrum/_nominal_frequency.py
|
MitchellAcoustics/MoSQITo
|
15e45888d08b2932909f50fd6af0ef9d5595a588
|
[
"Apache-2.0"
] | null | null | null |
from numpy import array
NOMINAL_OCTAVE_CENTER_FREQUENCIES = array(
[
31.5,
63.0,
125.0,
250.0,
500.0,
1000.0,
2000.0,
4000.0,
8000.0,
16000.0,
]
)
NOMINAL_THIRD_OCTAVE_CENTER_FREQUENCIES = array(
[
25.0,
31.5,
40.0,
50.0,
63.0,
80.0,
100.0,
125.0,
160.0,
200.0,
250.0,
315.0,
400.0,
500.0,
630.0,
800.0,
1000.0,
1250.0,
1600.0,
2000.0,
2500.0,
3150.0,
4000.0,
5000.0,
6300.0,
8000.0,
10000.0,
12500.0,
16000.0,
20000.0,
]
)
| 14.653846
| 48
| 0.364829
| 95
| 762
| 2.852632
| 0.431579
| 0.088561
| 0.169742
| 0.206642
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.478261
| 0.51706
| 762
| 51
| 49
| 14.941176
| 0.258152
| 0
| 0
| 0.408163
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.020408
| 0
| 0.020408
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
4c22820b09c44b3f70a8c6f5eae96997ab2c71d3
| 546
|
py
|
Python
|
awaard/serializer.py
|
Uomar7/awaards
|
0648be23bda2132730a01b4f3da7f8e24ffa1447
|
[
"MIT"
] | null | null | null |
awaard/serializer.py
|
Uomar7/awaards
|
0648be23bda2132730a01b4f3da7f8e24ffa1447
|
[
"MIT"
] | 3
|
2020-06-05T21:40:28.000Z
|
2021-06-10T21:40:06.000Z
|
awaard/serializer.py
|
Uomar7/awaards
|
0648be23bda2132730a01b4f3da7f8e24ffa1447
|
[
"MIT"
] | null | null | null |
from rest_framework import serializers
from .models import Profile,Project,Comment
class ProfileSerializer(serializers.ModelSerializer):
class Meta:
model = Profile
fields = ("id","first_name","last_name","bio","profile_pic")
class ProjectSerializer(serializers.ModelSerializer):
class Meta:
model = Project
fields = ("id","title","project_image","project_description","link")
class CommentSerializer(serializers.ModelSerializer):
class Meta:
model = Comment
fields = ("id","review")
| 32.117647
| 76
| 0.701465
| 55
| 546
| 6.854545
| 0.509091
| 0.206897
| 0.246684
| 0.278515
| 0.318302
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.18315
| 546
| 17
| 77
| 32.117647
| 0.845291
| 0
| 0
| 0.214286
| 0
| 0
| 0.157221
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.142857
| 0
| 0.571429
| 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
|
4c40087a3ecd3df493fb7de11484ce2ca6a5fadf
| 255
|
py
|
Python
|
stack.py
|
AishwaryaNair687/Py-Programs
|
cc5774e74f4a85cb76a337f0c63aadfc4e818eb7
|
[
"MIT"
] | 4
|
2020-11-14T21:12:59.000Z
|
2020-12-12T17:29:12.000Z
|
stack.py
|
Bhavyakalra-13/Py-Programs
|
715b366718b45c45c1bdb8ab83d83e99d4876c5b
|
[
"MIT"
] | 1
|
2020-09-28T06:06:48.000Z
|
2021-09-30T16:22:18.000Z
|
stack.py
|
Bhavyakalra-13/Py-Programs
|
715b366718b45c45c1bdb8ab83d83e99d4876c5b
|
[
"MIT"
] | 4
|
2020-09-30T17:59:57.000Z
|
2021-10-03T17:26:27.000Z
|
stack = []
stack.append('a')
stack.append('b')
stack.append('c')
print('Initial stack')
print(stack)
print('\nElements poped from stack:')
print(stack.pop())
print(stack.pop())
print(stack.pop())
print('\nStack after elements are poped:')
print(stack)
| 15.9375
| 42
| 0.694118
| 37
| 255
| 4.783784
| 0.405405
| 0.282486
| 0.220339
| 0.305085
| 0.248588
| 0.248588
| 0.248588
| 0
| 0
| 0
| 0
| 0
| 0.098039
| 255
| 15
| 43
| 17
| 0.769565
| 0
| 0
| 0.416667
| 0
| 0
| 0.301961
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.666667
| 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
| 0
| 1
|
0
| 4
|
4c7a912cab5266eb01fa779f1ff8ac7d9a9cea4a
| 1,026
|
py
|
Python
|
DailyProgrammer/DP20120808A.py
|
DayGitH/Python-Challenges
|
bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf
|
[
"MIT"
] | 2
|
2020-12-23T18:59:22.000Z
|
2021-04-14T13:16:09.000Z
|
DailyProgrammer/DP20120808A.py
|
DayGitH/Python-Challenges
|
bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf
|
[
"MIT"
] | null | null | null |
DailyProgrammer/DP20120808A.py
|
DayGitH/Python-Challenges
|
bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf
|
[
"MIT"
] | null | null | null |
"""
[8/8/2012] Challenge #86 [easy] (run-length encoding)
https://www.reddit.com/r/dailyprogrammer/comments/xxbbo/882012_challenge_86_easy_runlength_encoding/
Run-Length encoding is a simple form of compression that detects 'runs' of repeated instances of a symbol in a string
and compresses them to a list of pairs of 'symbol' 'length'. For example, the string
"Heeeeelllllooooo nurse!"
Could be compressed using run-length encoding to the list of pairs
[(1,'H'),(5,'e'),(5,'l'),(5,'o'),(1,'n'),(1,'u'),(1,'r'),(1,'s'),(1,'e')]
Which seems to not be compressed, but if you represent it as an array of 18bytes (each pair is 2 bytes), then we save 5
bytes of space compressing this string.
Write a function that takes in a string and returns a run-length-encoding of that string. (either as a list of pairs
or as a 2-byte-per pair array)
BONUS: Write a decompression function that takes in the RLE representation and returns the original string
"""
def main():
pass
if __name__ == "__main__":
main()
| 41.04
| 119
| 0.722222
| 176
| 1,026
| 4.136364
| 0.539773
| 0.049451
| 0.093407
| 0.032967
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.034924
| 0.162768
| 1,026
| 24
| 120
| 42.75
| 0.812573
| 0.929825
| 0
| 0
| 0
| 0
| 0.125
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| true
| 0.25
| 0
| 0
| 0.25
| 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
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
d5b2f361aa42459762f0369a2c01907b217d8d5a
| 241
|
py
|
Python
|
pygeostat/statistics/__init__.py
|
MHadavand/pygeostat
|
020f1781e073ab7721d9181e04b9c63240b0121e
|
[
"MIT"
] | 22
|
2020-08-04T15:13:53.000Z
|
2022-03-31T00:15:07.000Z
|
pygeostat/statistics/__init__.py
|
MHadavand/pygeostat
|
020f1781e073ab7721d9181e04b9c63240b0121e
|
[
"MIT"
] | 15
|
2020-08-04T15:40:21.000Z
|
2021-12-22T15:18:01.000Z
|
pygeostat/statistics/__init__.py
|
MHadavand/pygeostat
|
020f1781e073ab7721d9181e04b9c63240b0121e
|
[
"MIT"
] | 59
|
2020-08-04T17:09:26.000Z
|
2022-03-25T23:19:44.000Z
|
"""
The :mod:`pygslib.statistics` module includes statistics functions.
"""
from __future__ import absolute_import, division, print_function
from .kde import *
from .cdf import *
from .utils import *
from .postsim import postsim_multfiles
| 24.1
| 67
| 0.780083
| 30
| 241
| 6.033333
| 0.633333
| 0.165746
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.13278
| 241
| 9
| 68
| 26.777778
| 0.866029
| 0.278008
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0.2
| 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
|
d5d6414d6b768410c443c3c15e03b2b059bce8e2
| 10,402
|
py
|
Python
|
env/lib/python3.6/site-packages/openpyxl/writer/theme.py
|
anthowen/duplify
|
846d01c1b21230937fdf0281b0cf8c0b08a8c24e
|
[
"MIT"
] | 34
|
2018-07-13T11:30:46.000Z
|
2022-01-05T13:48:10.000Z
|
env/lib/python3.6/site-packages/openpyxl/writer/theme.py
|
anthowen/duplify
|
846d01c1b21230937fdf0281b0cf8c0b08a8c24e
|
[
"MIT"
] | 4
|
2021-03-11T04:02:00.000Z
|
2022-03-27T08:31:56.000Z
|
env/lib/python3.6/site-packages/openpyxl/writer/theme.py
|
anthowen/duplify
|
846d01c1b21230937fdf0281b0cf8c0b08a8c24e
|
[
"MIT"
] | 22
|
2018-07-13T11:30:48.000Z
|
2021-09-25T13:30:08.000Z
|
# -*- coding: utf-8 -*-
from __future__ import absolute_import
# Copyright (c) 2010-2018 openpyxl
"""Write the theme xml based on a fixed string."""
# package imports
theme_xml = """<?xml version="1.0"?>
<a:theme xmlns:a="http://schemas.openxmlformats.org/drawingml/2006/main" name="Office Theme">
<a:themeElements>
<a:clrScheme name="Office">
<a:dk1>
<a:sysClr val="windowText" lastClr="000000"/>
</a:dk1>
<a:lt1>
<a:sysClr val="window" lastClr="FFFFFF"/>
</a:lt1>
<a:dk2>
<a:srgbClr val="1F497D"/>
</a:dk2>
<a:lt2>
<a:srgbClr val="EEECE1"/>
</a:lt2>
<a:accent1>
<a:srgbClr val="4F81BD"/>
</a:accent1>
<a:accent2>
<a:srgbClr val="C0504D"/>
</a:accent2>
<a:accent3>
<a:srgbClr val="9BBB59"/>
</a:accent3>
<a:accent4>
<a:srgbClr val="8064A2"/>
</a:accent4>
<a:accent5>
<a:srgbClr val="4BACC6"/>
</a:accent5>
<a:accent6>
<a:srgbClr val="F79646"/>
</a:accent6>
<a:hlink>
<a:srgbClr val="0000FF"/>
</a:hlink>
<a:folHlink>
<a:srgbClr val="800080"/>
</a:folHlink>
</a:clrScheme>
<a:fontScheme name="Office">
<a:majorFont>
<a:latin typeface="Cambria"/>
<a:ea typeface=""/>
<a:cs typeface=""/>
<a:font script="Jpan" typeface="MS Pゴシック"/>
<a:font script="Hang" typeface="맑은 고딕"/>
<a:font script="Hans" typeface="宋体"/>
<a:font script="Hant" typeface="新細明體"/>
<a:font script="Arab" typeface="Times New Roman"/>
<a:font script="Hebr" typeface="Times New Roman"/>
<a:font script="Thai" typeface="Tahoma"/>
<a:font script="Ethi" typeface="Nyala"/>
<a:font script="Beng" typeface="Vrinda"/>
<a:font script="Gujr" typeface="Shruti"/>
<a:font script="Khmr" typeface="MoolBoran"/>
<a:font script="Knda" typeface="Tunga"/>
<a:font script="Guru" typeface="Raavi"/>
<a:font script="Cans" typeface="Euphemia"/>
<a:font script="Cher" typeface="Plantagenet Cherokee"/>
<a:font script="Yiii" typeface="Microsoft Yi Baiti"/>
<a:font script="Tibt" typeface="Microsoft Himalaya"/>
<a:font script="Thaa" typeface="MV Boli"/>
<a:font script="Deva" typeface="Mangal"/>
<a:font script="Telu" typeface="Gautami"/>
<a:font script="Taml" typeface="Latha"/>
<a:font script="Syrc" typeface="Estrangelo Edessa"/>
<a:font script="Orya" typeface="Kalinga"/>
<a:font script="Mlym" typeface="Kartika"/>
<a:font script="Laoo" typeface="DokChampa"/>
<a:font script="Sinh" typeface="Iskoola Pota"/>
<a:font script="Mong" typeface="Mongolian Baiti"/>
<a:font script="Viet" typeface="Times New Roman"/>
<a:font script="Uigh" typeface="Microsoft Uighur"/>
</a:majorFont>
<a:minorFont>
<a:latin typeface="Calibri"/>
<a:ea typeface=""/>
<a:cs typeface=""/>
<a:font script="Jpan" typeface="MS Pゴシック"/>
<a:font script="Hang" typeface="맑은 고딕"/>
<a:font script="Hans" typeface="宋体"/>
<a:font script="Hant" typeface="新細明體"/>
<a:font script="Arab" typeface="Arial"/>
<a:font script="Hebr" typeface="Arial"/>
<a:font script="Thai" typeface="Tahoma"/>
<a:font script="Ethi" typeface="Nyala"/>
<a:font script="Beng" typeface="Vrinda"/>
<a:font script="Gujr" typeface="Shruti"/>
<a:font script="Khmr" typeface="DaunPenh"/>
<a:font script="Knda" typeface="Tunga"/>
<a:font script="Guru" typeface="Raavi"/>
<a:font script="Cans" typeface="Euphemia"/>
<a:font script="Cher" typeface="Plantagenet Cherokee"/>
<a:font script="Yiii" typeface="Microsoft Yi Baiti"/>
<a:font script="Tibt" typeface="Microsoft Himalaya"/>
<a:font script="Thaa" typeface="MV Boli"/>
<a:font script="Deva" typeface="Mangal"/>
<a:font script="Telu" typeface="Gautami"/>
<a:font script="Taml" typeface="Latha"/>
<a:font script="Syrc" typeface="Estrangelo Edessa"/>
<a:font script="Orya" typeface="Kalinga"/>
<a:font script="Mlym" typeface="Kartika"/>
<a:font script="Laoo" typeface="DokChampa"/>
<a:font script="Sinh" typeface="Iskoola Pota"/>
<a:font script="Mong" typeface="Mongolian Baiti"/>
<a:font script="Viet" typeface="Arial"/>
<a:font script="Uigh" typeface="Microsoft Uighur"/>
</a:minorFont>
</a:fontScheme>
<a:fmtScheme name="Office">
<a:fillStyleLst>
<a:solidFill>
<a:schemeClr val="phClr"/>
</a:solidFill>
<a:gradFill rotWithShape="1">
<a:gsLst>
<a:gs pos="0">
<a:schemeClr val="phClr">
<a:tint val="50000"/>
<a:satMod val="300000"/>
</a:schemeClr>
</a:gs>
<a:gs pos="35000">
<a:schemeClr val="phClr">
<a:tint val="37000"/>
<a:satMod val="300000"/>
</a:schemeClr>
</a:gs>
<a:gs pos="100000">
<a:schemeClr val="phClr">
<a:tint val="15000"/>
<a:satMod val="350000"/>
</a:schemeClr>
</a:gs>
</a:gsLst>
<a:lin ang="16200000" scaled="1"/>
</a:gradFill>
<a:gradFill rotWithShape="1">
<a:gsLst>
<a:gs pos="0">
<a:schemeClr val="phClr">
<a:shade val="51000"/>
<a:satMod val="130000"/>
</a:schemeClr>
</a:gs>
<a:gs pos="80000">
<a:schemeClr val="phClr">
<a:shade val="93000"/>
<a:satMod val="130000"/>
</a:schemeClr>
</a:gs>
<a:gs pos="100000">
<a:schemeClr val="phClr">
<a:shade val="94000"/>
<a:satMod val="135000"/>
</a:schemeClr>
</a:gs>
</a:gsLst>
<a:lin ang="16200000" scaled="0"/>
</a:gradFill>
</a:fillStyleLst>
<a:lnStyleLst>
<a:ln w="9525" cap="flat" cmpd="sng" algn="ctr">
<a:solidFill>
<a:schemeClr val="phClr">
<a:shade val="95000"/>
<a:satMod val="105000"/>
</a:schemeClr>
</a:solidFill>
<a:prstDash val="solid"/>
</a:ln>
<a:ln w="25400" cap="flat" cmpd="sng" algn="ctr">
<a:solidFill>
<a:schemeClr val="phClr"/>
</a:solidFill>
<a:prstDash val="solid"/>
</a:ln>
<a:ln w="38100" cap="flat" cmpd="sng" algn="ctr">
<a:solidFill>
<a:schemeClr val="phClr"/>
</a:solidFill>
<a:prstDash val="solid"/>
</a:ln>
</a:lnStyleLst>
<a:effectStyleLst>
<a:effectStyle>
<a:effectLst>
<a:outerShdw blurRad="40000" dist="20000" dir="5400000" rotWithShape="0">
<a:srgbClr val="000000">
<a:alpha val="38000"/>
</a:srgbClr>
</a:outerShdw>
</a:effectLst>
</a:effectStyle>
<a:effectStyle>
<a:effectLst>
<a:outerShdw blurRad="40000" dist="23000" dir="5400000" rotWithShape="0">
<a:srgbClr val="000000">
<a:alpha val="35000"/>
</a:srgbClr>
</a:outerShdw>
</a:effectLst>
</a:effectStyle>
<a:effectStyle>
<a:effectLst>
<a:outerShdw blurRad="40000" dist="23000" dir="5400000" rotWithShape="0">
<a:srgbClr val="000000">
<a:alpha val="35000"/>
</a:srgbClr>
</a:outerShdw>
</a:effectLst>
<a:scene3d>
<a:camera prst="orthographicFront">
<a:rot lat="0" lon="0" rev="0"/>
</a:camera>
<a:lightRig rig="threePt" dir="t">
<a:rot lat="0" lon="0" rev="1200000"/>
</a:lightRig>
</a:scene3d>
<a:sp3d>
<a:bevelT w="63500" h="25400"/>
</a:sp3d>
</a:effectStyle>
</a:effectStyleLst>
<a:bgFillStyleLst>
<a:solidFill>
<a:schemeClr val="phClr"/>
</a:solidFill>
<a:gradFill rotWithShape="1">
<a:gsLst>
<a:gs pos="0">
<a:schemeClr val="phClr">
<a:tint val="40000"/>
<a:satMod val="350000"/>
</a:schemeClr>
</a:gs>
<a:gs pos="40000">
<a:schemeClr val="phClr">
<a:tint val="45000"/>
<a:shade val="99000"/>
<a:satMod val="350000"/>
</a:schemeClr>
</a:gs>
<a:gs pos="100000">
<a:schemeClr val="phClr">
<a:shade val="20000"/>
<a:satMod val="255000"/>
</a:schemeClr>
</a:gs>
</a:gsLst>
<a:path path="circle">
<a:fillToRect l="50000" t="-80000" r="50000" b="180000"/>
</a:path>
</a:gradFill>
<a:gradFill rotWithShape="1">
<a:gsLst>
<a:gs pos="0">
<a:schemeClr val="phClr">
<a:tint val="80000"/>
<a:satMod val="300000"/>
</a:schemeClr>
</a:gs>
<a:gs pos="100000">
<a:schemeClr val="phClr">
<a:shade val="30000"/>
<a:satMod val="200000"/>
</a:schemeClr>
</a:gs>
</a:gsLst>
<a:path path="circle">
<a:fillToRect l="50000" t="50000" r="50000" b="50000"/>
</a:path>
</a:gradFill>
</a:bgFillStyleLst>
</a:fmtScheme>
</a:themeElements>
<a:objectDefaults/>
<a:extraClrSchemeLst/>
</a:theme>
"""
def write_theme():
"""Write the theme xml."""
return theme_xml
| 35.141892
| 100
| 0.489617
| 1,164
| 10,402
| 4.368557
| 0.215636
| 0.05703
| 0.125467
| 0.056637
| 0.73058
| 0.718387
| 0.718387
| 0.681023
| 0.665683
| 0.653097
| 0
| 0.075113
| 0.321669
| 10,402
| 295
| 101
| 35.261017
| 0.64555
| 0.008844
| 0
| 0.596491
| 0
| 0.010526
| 0.989075
| 0.054233
| 0
| 0
| 0
| 0
| 0
| 1
| 0.003509
| false
| 0
| 0.003509
| 0
| 0.010526
| 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
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
d5e3c989b4c127bb887c556c07eca254cdbe3985
| 128
|
py
|
Python
|
examples/login.py
|
Alert-Aigul/Amino.ed
|
f126135f6b10010c6b4356199b5cfe5cf2f1124d
|
[
"MIT"
] | 9
|
2021-10-01T18:23:59.000Z
|
2022-03-31T20:02:45.000Z
|
examples/login.py
|
Alert-Aigul/Amino.ed
|
f126135f6b10010c6b4356199b5cfe5cf2f1124d
|
[
"MIT"
] | 2
|
2021-10-30T05:40:03.000Z
|
2021-12-08T12:35:38.000Z
|
examples/login.py
|
Alert-Aigul/Amino.ed
|
f126135f6b10010c6b4356199b5cfe5cf2f1124d
|
[
"MIT"
] | null | null | null |
import aminoed
@aminoed.run_with_client()
async def main(client: aminoed.Client):
await client.login("email", "password")
| 18.285714
| 43
| 0.742188
| 17
| 128
| 5.470588
| 0.705882
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125
| 128
| 6
| 44
| 21.333333
| 0.830357
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| 0
| 0.101563
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.25
| 0.25
| 0
| 0.25
| 0
| 1
| 0
| 0
| null | 0
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| 0
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| 0
| 0
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| 0
| 0
| 0
| 0
|
0
| 4
|
d5e82948502b516ce0b316af3aed67691afe1ec8
| 20,919
|
py
|
Python
|
server/launch/sample/main_machine/main_instance/experiment_gpib/fake_linker.py
|
zstars/weblabdeusto
|
09bd9d93d483671bca67ee5c70a9c412eb5d352f
|
[
"BSD-2-Clause"
] | 15
|
2015-03-12T12:15:41.000Z
|
2021-12-20T17:53:24.000Z
|
server/launch/sample/main_machine/main_instance/experiment_gpib/fake_linker.py
|
zstars/weblabdeusto
|
09bd9d93d483671bca67ee5c70a9c412eb5d352f
|
[
"BSD-2-Clause"
] | 44
|
2015-01-07T09:22:05.000Z
|
2017-01-31T22:44:21.000Z
|
server/launch/sample/main_machine/main_instance/experiment_gpib/fake_linker.py
|
zstars/weblabdeusto
|
09bd9d93d483671bca67ee5c70a9c412eb5d352f
|
[
"BSD-2-Clause"
] | 22
|
2015-01-13T13:55:48.000Z
|
2021-12-16T17:07:00.000Z
|
#!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Copyright (C) 2005 onwards University of Deusto
# All rights reserved.
#
# This software is licensed as described in the file COPYING, which
# you should have received as part of this distribution.
#
# This software consists of contributions made by many individuals,
# listed below:
#
# Author: Pablo Orduña <pablo@ordunya.com>
#
import os, sys
if __name__ == '__main__':
assert len(sys.argv) == 11, "Linker example: ilink32 -Tpe -c whatever.obj c0x32, whatever.exe, , visa32 import32 cw32 bidsf \n\
Got %s arguments; \"%s\"" % ( len(sys.argv), ' '.join(sys.argv) )
# assert sys.argv[0] == 'ilink32' #Not in the fake version
assert sys.argv[1] == '-Tpe'
assert sys.argv[2] == '-c'
assert sys.argv[3][-4:].lower() == '.obj'
assert sys.argv[4] == 'c0x32,'
assert sys.argv[5][-5:].lower() == '.exe,'
assert sys.argv[6] == ','
assert sys.argv[7] == 'visa32'
assert sys.argv[8] == 'import32'
assert sys.argv[9] == 'cw32'
assert sys.argv[10] =='bidsf'
fname = sys.argv[5][:-1]
try:
f = open(fname,'w')
source_lines = ""
stdout_lines = ""
for i in xrange(50):
# source_lines += "content sample line %i\\n" % i
stdout_lines += "stdout sample line %i\\n" % i
source_lines = """El nivel del marker -66.389 dBm
PTO : FREC : VALOR: dBm
============================================================
1 : 1950000 : 642 : -66.387634
2 : 1950200 : 643 : -66.359848
3 : 1950400 : 644 : -66.332062
4 : 1950600 : 644 : -66.332062
5 : 1950800 : 644 : -66.332062
6 : 1951000 : 645 : -66.304276
7 : 1951200 : 645 : -66.304276
8 : 1951400 : 644 : -66.332062
9 : 1951600 : 644 : -66.332062
10 : 1951800 : 642 : -66.387634
11 : 1952000 : 642 : -66.387634
12 : 1952200 : 642 : -66.387634
13 : 1952400 : 641 : -66.415421
14 : 1952600 : 640 : -66.443207
15 : 1952800 : 642 : -66.387634
16 : 1953000 : 642 : -66.387634
17 : 1953200 : 643 : -66.359848
18 : 1953400 : 642 : -66.387634
19 : 1953600 : 643 : -66.359848
20 : 1953800 : 641 : -66.415421
21 : 1954000 : 641 : -66.415421
22 : 1954200 : 642 : -66.387634
23 : 1954400 : 644 : -66.332062
24 : 1954600 : 644 : -66.332062
25 : 1954800 : 642 : -66.387634
26 : 1955000 : 641 : -66.415421
27 : 1955200 : 642 : -66.387634
28 : 1955400 : 645 : -66.304276
29 : 1955600 : 643 : -66.359848
30 : 1955800 : 644 : -66.332062
31 : 1956000 : 645 : -66.304276
32 : 1956200 : 644 : -66.332062
33 : 1956400 : 640 : -66.443207
34 : 1956600 : 641 : -66.415421
35 : 1956800 : 640 : -66.443207
36 : 1957000 : 640 : -66.443207
37 : 1957200 : 640 : -66.443207
38 : 1957400 : 640 : -66.443207
39 : 1957600 : 642 : -66.387634
40 : 1957800 : 641 : -66.415421
41 : 1958000 : 641 : -66.415421
42 : 1958200 : 641 : -66.415421
43 : 1958400 : 644 : -66.332062
44 : 1958600 : 642 : -66.387634
45 : 1958800 : 644 : -66.332062
46 : 1959000 : 644 : -66.332062
47 : 1959200 : 642 : -66.387634
48 : 1959400 : 642 : -66.387634
49 : 1959600 : 640 : -66.443207
50 : 1959800 : 643 : -66.359848
51 : 1960000 : 645 : -66.304276
52 : 1960200 : 643 : -66.359848
53 : 1960400 : 642 : -66.387634
54 : 1960600 : 642 : -66.387634
55 : 1960800 : 644 : -66.332062
56 : 1961000 : 644 : -66.332062
57 : 1961200 : 642 : -66.387634
58 : 1961400 : 641 : -66.415421
59 : 1961600 : 640 : -66.443207
60 : 1961800 : 640 : -66.443207
61 : 1962000 : 640 : -66.443207
62 : 1962200 : 640 : -66.443207
63 : 1962400 : 640 : -66.443207
64 : 1962600 : 640 : -66.443207
65 : 1962800 : 644 : -66.332062
66 : 1963000 : 640 : -66.443207
67 : 1963200 : 640 : -66.443207
68 : 1963400 : 641 : -66.415421
69 : 1963600 : 642 : -66.387634
70 : 1963800 : 640 : -66.443207
71 : 1964000 : 641 : -66.415421
72 : 1964200 : 641 : -66.415421
73 : 1964400 : 641 : -66.415421
74 : 1964600 : 641 : -66.415421
75 : 1964800 : 640 : -66.443207
76 : 1965000 : 640 : -66.443207
77 : 1965200 : 641 : -66.415421
78 : 1965400 : 640 : -66.443207
79 : 1965600 : 641 : -66.415421
80 : 1965800 : 641 : -66.415421
81 : 1966000 : 641 : -66.415421
82 : 1966200 : 641 : -66.415421
83 : 1966400 : 640 : -66.443207
84 : 1966600 : 642 : -66.387634
85 : 1966800 : 642 : -66.387634
86 : 1967000 : 640 : -66.443207
87 : 1967200 : 640 : -66.443207
88 : 1967400 : 641 : -66.415421
89 : 1967600 : 641 : -66.415421
90 : 1967800 : 641 : -66.415421
91 : 1968000 : 641 : -66.415421
92 : 1968200 : 640 : -66.443207
93 : 1968400 : 641 : -66.415421
94 : 1968600 : 642 : -66.387634
95 : 1968800 : 642 : -66.387634
96 : 1969000 : 640 : -66.443207
97 : 1969200 : 640 : -66.443207
98 : 1969400 : 641 : -66.415421
99 : 1969600 : 644 : -66.332062
100 : 1969800 : 644 : -66.332062
101 : 1970000 : 644 : -66.332062
102 : 1970200 : 644 : -66.332062
103 : 1970400 : 641 : -66.415421
104 : 1970600 : 640 : -66.443207
105 : 1970800 : 643 : -66.359848
106 : 1971000 : 643 : -66.359848
107 : 1971200 : 641 : -66.415421
108 : 1971400 : 640 : -66.443207
109 : 1971600 : 641 : -66.415421
110 : 1971800 : 641 : -66.415421
111 : 1972000 : 640 : -66.443207
112 : 1972200 : 641 : -66.415421
113 : 1972400 : 640 : -66.443207
114 : 1972600 : 642 : -66.387634
115 : 1972800 : 641 : -66.415421
116 : 1973000 : 640 : -66.443207
117 : 1973200 : 640 : -66.443207
118 : 1973400 : 642 : -66.387634
119 : 1973600 : 641 : -66.415421
120 : 1973800 : 640 : -66.443207
121 : 1974000 : 640 : -66.443207
122 : 1974200 : 642 : -66.387634
123 : 1974400 : 642 : -66.387634
124 : 1974600 : 640 : -66.443207
125 : 1974800 : 641 : -66.415421
126 : 1975000 : 640 : -66.443207
127 : 1975200 : 640 : -66.443207
128 : 1975400 : 641 : -66.415421
129 : 1975600 : 642 : -66.387634
130 : 1975800 : 641 : -66.415421
131 : 1976000 : 640 : -66.443207
132 : 1976200 : 643 : -66.359848
133 : 1976400 : 641 : -66.415421
134 : 1976600 : 641 : -66.415421
135 : 1976800 : 641 : -66.415421
136 : 1977000 : 642 : -66.387634
137 : 1977200 : 643 : -66.359848
138 : 1977400 : 642 : -66.387634
139 : 1977600 : 642 : -66.387634
140 : 1977800 : 640 : -66.443207
141 : 1978000 : 640 : -66.443207
142 : 1978200 : 640 : -66.443207
143 : 1978400 : 640 : -66.443207
144 : 1978600 : 641 : -66.415421
145 : 1978800 : 643 : -66.359848
146 : 1979000 : 642 : -66.387634
147 : 1979200 : 642 : -66.387634
148 : 1979400 : 642 : -66.387634
149 : 1979600 : 641 : -66.415421
150 : 1979800 : 642 : -66.387634
151 : 1980000 : 642 : -66.387634
152 : 1980200 : 644 : -66.332062
153 : 1980400 : 642 : -66.387634
154 : 1980600 : 641 : -66.415421
155 : 1980800 : 640 : -66.443207
156 : 1981000 : 640 : -66.443207
157 : 1981200 : 643 : -66.359848
158 : 1981400 : 643 : -66.359848
159 : 1981600 : 642 : -66.387634
160 : 1981800 : 640 : -66.443207
161 : 1982000 : 640 : -66.443207
162 : 1982200 : 640 : -66.443207
163 : 1982400 : 641 : -66.415421
164 : 1982600 : 642 : -66.387634
165 : 1982800 : 640 : -66.443207
166 : 1983000 : 642 : -66.387634
167 : 1983200 : 642 : -66.387634
168 : 1983400 : 640 : -66.443207
169 : 1983600 : 640 : -66.443207
170 : 1983800 : 640 : -66.443207
171 : 1984000 : 640 : -66.443207
172 : 1984200 : 640 : -66.443207
173 : 1984400 : 640 : -66.443207
174 : 1984600 : 640 : -66.443207
175 : 1984800 : 642 : -66.387634
176 : 1985000 : 640 : -66.443207
177 : 1985200 : 640 : -66.443207
178 : 1985400 : 641 : -66.415421
179 : 1985600 : 644 : -66.332062
180 : 1985800 : 645 : -66.304276
181 : 1986000 : 642 : -66.387634
182 : 1986200 : 644 : -66.332062
183 : 1986400 : 644 : -66.332062
184 : 1986600 : 645 : -66.304276
185 : 1986800 : 641 : -66.415421
186 : 1987000 : 642 : -66.387634
187 : 1987200 : 642 : -66.387634
188 : 1987400 : 641 : -66.415421
189 : 1987600 : 640 : -66.443207
190 : 1987800 : 640 : -66.443207
191 : 1988000 : 640 : -66.443207
192 : 1988200 : 640 : -66.443207
193 : 1988400 : 642 : -66.387634
194 : 1988600 : 642 : -66.387634
195 : 1988800 : 640 : -66.443207
196 : 1989000 : 641 : -66.415421
197 : 1989200 : 640 : -66.443207
198 : 1989400 : 640 : -66.443207
199 : 1989600 : 641 : -66.415421
200 : 1989800 : 643 : -66.359848
201 : 1990000 : 645 : -66.304276
202 : 1990200 : 645 : -66.304276
203 : 1990400 : 641 : -66.415421
204 : 1990600 : 641 : -66.415421
205 : 1990800 : 642 : -66.387634
206 : 1991000 : 641 : -66.415421
207 : 1991200 : 640 : -66.443207
208 : 1991400 : 642 : -66.387634
209 : 1991600 : 641 : -66.415421
210 : 1991800 : 641 : -66.415421
211 : 1992000 : 641 : -66.415421
212 : 1992200 : 642 : -66.387634
213 : 1992400 : 645 : -66.304276
214 : 1992600 : 644 : -66.332062
215 : 1992800 : 643 : -66.359848
216 : 1993000 : 642 : -66.387634
217 : 1993200 : 642 : -66.387634
218 : 1993400 : 640 : -66.443207
219 : 1993600 : 640 : -66.443207
220 : 1993800 : 641 : -66.415421
221 : 1994000 : 645 : -66.304276
222 : 1994200 : 644 : -66.332062
223 : 1994400 : 641 : -66.415421
224 : 1994600 : 641 : -66.415421
225 : 1994800 : 643 : -66.359848
226 : 1995000 : 642 : -66.387634
227 : 1995200 : 641 : -66.415421
228 : 1995400 : 640 : -66.443207
229 : 1995600 : 640 : -66.443207
230 : 1995800 : 641 : -66.415421
231 : 1996000 : 644 : -66.332062
232 : 1996200 : 641 : -66.415421
233 : 1996400 : 640 : -66.443207
234 : 1996600 : 641 : -66.415421
235 : 1996800 : 642 : -66.387634
236 : 1997000 : 641 : -66.415421
237 : 1997200 : 642 : -66.387634
238 : 1997400 : 640 : -66.443207
239 : 1997600 : 641 : -66.415421
240 : 1997800 : 642 : -66.387634
241 : 1998000 : 642 : -66.387634
242 : 1998200 : 644 : -66.332062
243 : 1998400 : 644 : -66.332062
244 : 1998600 : 642 : -66.387634
245 : 1998800 : 644 : -66.332062
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249 : 1999600 : 640 : -66.443207
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251 : 2000000 : 641 : -66.415421
252 : 2000200 : 644 : -66.332062
253 : 2000400 : 640 : -66.443207
254 : 2000600 : 641 : -66.415421
255 : 2000800 : 640 : -66.443207
256 : 2001000 : 644 : -66.332062
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259 : 2001600 : 642 : -66.387634
260 : 2001800 : 642 : -66.387634
261 : 2002000 : 642 : -66.387634
262 : 2002200 : 643 : -66.359848
263 : 2002400 : 641 : -66.415421
264 : 2002600 : 641 : -66.415421
265 : 2002800 : 643 : -66.359848
266 : 2003000 : 643 : -66.359848
267 : 2003200 : 642 : -66.387634
268 : 2003400 : 642 : -66.387634
269 : 2003600 : 643 : -66.359848
270 : 2003800 : 644 : -66.332062
271 : 2004000 : 641 : -66.415421
272 : 2004200 : 641 : -66.415421
273 : 2004400 : 640 : -66.443207
274 : 2004600 : 638 : -66.498787
275 : 2004800 : 648 : -66.220909
276 : 2005000 : 640 : -66.443207
277 : 2005200 : 638 : -66.498787
278 : 2005400 : 649 : -66.193123
279 : 2005600 : 641 : -66.415421
280 : 2005800 : 644 : -66.332062
281 : 2006000 : 642 : -66.387634
282 : 2006200 : 640 : -66.443207
283 : 2006400 : 642 : -66.387634
284 : 2006600 : 641 : -66.415421
285 : 2006800 : 643 : -66.359848
286 : 2007000 : 641 : -66.415421
287 : 2007200 : 640 : -66.443207
288 : 2007400 : 640 : -66.443207
289 : 2007600 : 641 : -66.415421
290 : 2007800 : 640 : -66.443207
291 : 2008000 : 642 : -66.387634
292 : 2008200 : 644 : -66.332062
293 : 2008400 : 643 : -66.359848
294 : 2008600 : 643 : -66.359848
295 : 2008800 : 641 : -66.415421
296 : 2009000 : 640 : -66.443207
297 : 2009200 : 643 : -66.359848
298 : 2009400 : 643 : -66.359848
299 : 2009600 : 642 : -66.387634
300 : 2009800 : 642 : -66.387634
301 : 2010000 : 642 : -66.387634
302 : 2010200 : 640 : -66.443207
303 : 2010400 : 641 : -66.415421
304 : 2010600 : 641 : -66.415421
305 : 2010800 : 641 : -66.415421
306 : 2011000 : 641 : -66.415421
307 : 2011200 : 641 : -66.415421
308 : 2011400 : 641 : -66.415421
309 : 2011600 : 641 : -66.415421
310 : 2011800 : 643 : -66.359848
311 : 2012000 : 641 : -66.415421
312 : 2012200 : 640 : -66.443207
313 : 2012400 : 640 : -66.443207
314 : 2012600 : 640 : -66.443207
315 : 2012800 : 641 : -66.415421
316 : 2013000 : 641 : -66.415421
317 : 2013200 : 641 : -66.415421
318 : 2013400 : 640 : -66.443207
319 : 2013600 : 642 : -66.387634
320 : 2013800 : 643 : -66.359848
321 : 2014000 : 642 : -66.387634
322 : 2014200 : 641 : -66.415421
323 : 2014400 : 642 : -66.387634
324 : 2014600 : 644 : -66.332062
325 : 2014800 : 641 : -66.415421
326 : 2015000 : 641 : -66.415421
327 : 2015200 : 644 : -66.332062
328 : 2015400 : 643 : -66.359848
329 : 2015600 : 640 : -66.443207
330 : 2015800 : 640 : -66.443207
331 : 2016000 : 642 : -66.387634
332 : 2016200 : 640 : -66.443207
333 : 2016400 : 643 : -66.359848
334 : 2016600 : 642 : -66.387634
335 : 2016800 : 641 : -66.415421
336 : 2017000 : 642 : -66.387634
337 : 2017200 : 641 : -66.415421
338 : 2017400 : 641 : -66.415421
339 : 2017600 : 640 : -66.443207
340 : 2017800 : 642 : -66.387634
341 : 2018000 : 641 : -66.415421
342 : 2018200 : 641 : -66.415421
343 : 2018400 : 642 : -66.387634
344 : 2018600 : 640 : -66.443207
345 : 2018800 : 640 : -66.443207
346 : 2019000 : 641 : -66.415421
347 : 2019200 : 641 : -66.415421
348 : 2019400 : 641 : -66.415421
349 : 2019600 : 641 : -66.415421
350 : 2019800 : 640 : -66.443207
351 : 2020000 : 640 : -66.443207
352 : 2020200 : 640 : -66.443207
353 : 2020400 : 641 : -66.415421
354 : 2020600 : 640 : -66.443207
355 : 2020800 : 641 : -66.415421
356 : 2021000 : 644 : -66.332062
357 : 2021200 : 641 : -66.415421
358 : 2021400 : 640 : -66.443207
359 : 2021600 : 640 : -66.443207
360 : 2021800 : 640 : -66.443207
361 : 2022000 : 640 : -66.443207
362 : 2022200 : 640 : -66.443207
363 : 2022400 : 640 : -66.443207
364 : 2022600 : 641 : -66.415421
365 : 2022800 : 642 : -66.387634
366 : 2023000 : 641 : -66.415421
367 : 2023200 : 641 : -66.415421
368 : 2023400 : 640 : -66.443207
369 : 2023600 : 640 : -66.443207
370 : 2023800 : 640 : -66.443207
371 : 2024000 : 641 : -66.415421
372 : 2024200 : 641 : -66.415421
373 : 2024400 : 640 : -66.443207
374 : 2024600 : 640 : -66.443207
375 : 2024800 : 638 : -66.498787
376 : 2025000 : 650 : -66.165337
377 : 2025200 : 642 : -66.387634
378 : 2025400 : 643 : -66.359848
379 : 2025600 : 641 : -66.415421
380 : 2025800 : 640 : -66.443207
381 : 2026000 : 643 : -66.359848
382 : 2026200 : 642 : -66.387634
383 : 2026400 : 640 : -66.443207
384 : 2026600 : 640 : -66.443207
385 : 2026800 : 641 : -66.415421
386 : 2027000 : 641 : -66.415421
387 : 2027200 : 641 : -66.415421
388 : 2027400 : 641 : -66.415421
389 : 2027600 : 641 : -66.415421
390 : 2027800 : 641 : -66.415421
391 : 2028000 : 640 : -66.443207
392 : 2028200 : 644 : -66.332062
393 : 2028400 : 643 : -66.359848
394 : 2028600 : 642 : -66.387634
395 : 2028800 : 642 : -66.387634
396 : 2029000 : 642 : -66.387634
397 : 2029200 : 641 : -66.415421
398 : 2029400 : 640 : -66.443207
399 : 2029600 : 640 : -66.443207
400 : 2029800 : 640 : -66.443207
401 : 2030000 : 640 : -66.443207
402 : 2030200 : 641 : -66.415421
403 : 2030400 : 641 : -66.415421
404 : 2030600 : 640 : -66.443207
405 : 2030800 : 641 : -66.415421
406 : 2031000 : 642 : -66.387634
407 : 2031200 : 641 : -66.415421
408 : 2031400 : 641 : -66.415421
409 : 2031600 : 641 : -66.415421
410 : 2031800 : 642 : -66.387634
411 : 2032000 : 644 : -66.332062
412 : 2032200 : 640 : -66.443207
413 : 2032400 : 640 : -66.443207
414 : 2032600 : 641 : -66.415421
415 : 2032800 : 640 : -66.443207
416 : 2033000 : 641 : -66.415421
417 : 2033200 : 640 : -66.443
207
418 : 2033400 : 640 : -66.443207
419 : 2033600 : 640 : -66.443207
420 : 2033800 : 640 : -66.443207
421 : 2034000 : 641 : -66.415421
422 : 2034200 : 643 : -66.359848
423 : 2034400 : 642 : -66.387634
424 : 2034600 : 643 : -66.359848
425 : 2034800 : 644 : -66.332062
426 : 2035000 : 642 : -66.387634
427 : 2035200 : 641 : -66.415421
428 : 2035400 : 640 : -66.443207
429 : 2035600 : 641 : -66.415421
430 : 2035800 : 640 : -66.443207
431 : 2036000 : 641 : -66.415421
432 : 2036200 : 644 : -66.332062
433 : 2036400 : 642 : -66.387634
434 : 2036600 : 642 : -66.387634
435 : 2036800 : 640 : -66.443207
436 : 2037000 : 640 : -66.443207
437 : 2037200 : 640 : -66.443207
438 : 2037400 : 640 : -66.443207
439 : 2037600 : 638 : -66.498787
440 : 2037800 : 648 : -66.220909
441 : 2038000 : 641 : -66.415421
442 : 2038200 : 641 : -66.415421
443 : 2038400 : 642 : -66.387634
444 : 2038600 : 641 : -66.415421
445 : 2038800 : 640 : -66.443207
446 : 2039000 : 640 : -66.443207
447 : 2039200 : 642 : -66.387634
448 : 2039400 : 642 : -66.387634
449 : 2039600 : 642 : -66.387634
450 : 2039800 : 641 : -66.415421
451 : 2040000 : 643 : -66.359848
452 : 2040200 : 641 : -66.415421
453 : 2040400 : 640 : -66.443207
454 : 2040600 : 642 : -66.387634
455 : 2040800 : 642 : -66.387634
456 : 2041000 : 640 : -66.443207
457 : 2041200 : 640 : -66.443207
458 : 2041400 : 640 : -66.443207
459 : 2041600 : 641 : -66.415421
460 : 2041800 : 641 : -66.415421
461 : 2042000 : 641 : -66.415421
462 : 2042200 : 640 : -66.443207
463 : 2042400 : 640 : -66.443207
464 : 2042600 : 640 : -66.443207
465 : 2042800 : 640 : -66.443207
466 : 2043000 : 640 : -66.443207
467 : 2043200 : 640 : -66.443207
468 : 2043400 : 640 : -66.443207
469 : 2043600 : 640 : -66.443207
470 : 2043800 : 640 : -66.443207
471 : 2044000 : 640 : -66.443207
472 : 2044200 : 640 : -66.443207
473 : 2044400 : 640 : -66.443207
474 : 2044600 : 641 : -66.415421
475 : 2044800 : 644 : -66.332062
476 : 2045000 : 642 : -66.387634
477 : 2045200 : 641 : -66.415421
478 : 2045400 : 643 : -66.359848
479 : 2045600 : 642 : -66.387634
480 : 2045800 : 642 : -66.387634
481 : 2046000 : 641 : -66.415421
482 : 2046200 : 643 : -66.359848
483 : 2046400 : 641 : -66.415421
484 : 2046600 : 641 : -66.415421
485 : 2046800 : 641 : -66.415421
486 : 2047000 : 642 : -66.387634
487 : 2047200 : 643 : -66.359848
488 : 2047400 : 642 : -66.387634
489 : 2047600 : 643 : -66.359848
490 : 2047800 : 643 : -66.359848
491 : 2048000 : 643 : -66.359848
492 : 2048200 : 642 : -66.387634
493 : 2048400 : 644 : -66.332062
494 : 2048600 : 645 : -66.304276
495 : 2048800 : 645 : -66.304276
496 : 2049000 : 642 : -66.387634
497 : 2049200 : 641 : -66.415421
498 : 2049400 : 641 : -66.415421
499 : 2049600 : 641 : -66.415421
500 : 2049800 : 642 : -66.387634
501 : 2050000 : 642 : -66.387634
"""
f.write("""#!/usr/bin/python
import time
print ""\"%s""\"
open("gpib.txt","w").write(""\"%s""\")
time.sleep(5)
""" %
(stdout_lines, source_lines))
f.close()
except Exception, e:
import traceback
print traceback.print_stack(e)
if hasattr(os, 'chmod'):
try:
os.chmod(fname, 0755)
except:
pass
| 36.635727
| 131
| 0.547397
| 2,751
| 20,919
| 4.15667
| 0.412941
| 0.063839
| 0.139484
| 0.002099
| 0.002274
| 0
| 0
| 0
| 0
| 0
| 0
| 0.731094
| 0.315407
| 20,919
| 570
| 132
| 36.7
| 0.067384
| 0.021846
| 0
| 0.003683
| 0
| 0.001842
| 0.946684
| 0.004794
| 0
| 0
| 0
| 0
| 0.020258
| 0
| null | null | 0.001842
| 0.009208
| null | null | 0.003683
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
d5ea7df96a8ed90fa652ffe0d82da280d0eb9668
| 239
|
py
|
Python
|
core/auth/local/group_management.py
|
sdklfjkjdf/yeti
|
c3639884963464bc2c3dd76f694ea20c4ef49068
|
[
"Apache-2.0"
] | 1
|
2021-11-16T01:31:29.000Z
|
2021-11-16T01:31:29.000Z
|
core/auth/local/group_management.py
|
sdklfjkjdf/yeti
|
c3639884963464bc2c3dd76f694ea20c4ef49068
|
[
"Apache-2.0"
] | 3
|
2020-12-04T21:17:20.000Z
|
2022-01-15T02:39:23.000Z
|
core/auth/local/group_management.py
|
sdklfjkjdf/yeti
|
c3639884963464bc2c3dd76f694ea20c4ef49068
|
[
"Apache-2.0"
] | null | null | null |
from core.logger import userLogger
from core.group import Group
from mongoengine import NotUniqueError
def create_group(groupname):
try:
return Group(groupname=groupname).save()
except NotUniqueError:
return False
| 23.9
| 48
| 0.753138
| 28
| 239
| 6.392857
| 0.571429
| 0.089385
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.192469
| 239
| 9
| 49
| 26.555556
| 0.927461
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.125
| false
| 0
| 0.375
| 0
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
911a7c36682727bde661f01bcae72cce13e13137
| 193
|
py
|
Python
|
src/TrRosetta/feature/main.py
|
ruiyangsong/mCNN
|
889f182245f919fb9c7a8d97965b11576b01a96c
|
[
"MIT"
] | null | null | null |
src/TrRosetta/feature/main.py
|
ruiyangsong/mCNN
|
889f182245f919fb9c7a8d97965b11576b01a96c
|
[
"MIT"
] | null | null | null |
src/TrRosetta/feature/main.py
|
ruiyangsong/mCNN
|
889f182245f919fb9c7a8d97965b11576b01a96c
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
os.system('./retrieve_pdb_chain.py')
os.system('./map_pos.py')
os.system('./TMalign.py')
os.system('./CalSA.py')
os.system('./coord.py')
| 21.444444
| 36
| 0.647668
| 32
| 193
| 3.8125
| 0.59375
| 0.327869
| 0.327869
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005587
| 0.072539
| 193
| 9
| 37
| 21.444444
| 0.675978
| 0.217617
| 0
| 0
| 0
| 0
| 0.446667
| 0.153333
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.166667
| 0
| 0.166667
| 0
| 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
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
912be562c4955754686bc0124903f643f94e0789
| 976
|
py
|
Python
|
cohorts_proj/datasets/mymodels/raw_dictionary.py
|
gellerjulia/harmonization-website
|
c47b109d9110e34520ef43469b6b5ccac01cc178
|
[
"MIT"
] | null | null | null |
cohorts_proj/datasets/mymodels/raw_dictionary.py
|
gellerjulia/harmonization-website
|
c47b109d9110e34520ef43469b6b5ccac01cc178
|
[
"MIT"
] | null | null | null |
cohorts_proj/datasets/mymodels/raw_dictionary.py
|
gellerjulia/harmonization-website
|
c47b109d9110e34520ef43469b6b5ccac01cc178
|
[
"MIT"
] | null | null | null |
from django.db import models
CAT_FLO_TYPE = (
('iris-setosa', 'Iris-setosa'),
('iris-virginica', 'Iris-virginica'),
('iris-versicolor', 'Iris-versicolor'),
)
class FlowerTypeField(models.CharField):
def __init__(self, *args, **kwargs):
super(FlowerTypeField, self).__init__(*args, **kwargs)
def get_prep_value(self, value):
return str(value).lower()
class RawDictionary(models.Model):
cohort = models.CharField(max_length=100)
var_name = models.CharField(max_length=100)
form_name = models.CharField(max_length=100)
section_name = models.CharField(max_length=100)
field_type = models.CharField(max_length=100)
field_label = models.CharField(max_length =100)
field_choices = models.CharField(max_length= 100)
field_min = models.CharField(max_length= 100)
field_max = models.CharField(max_length= 100)
# The type of flower
#flower_type = FlowerTypeField(max_length=100, choices=CAT_FLO_TYPE)
| 32.533333
| 72
| 0.715164
| 125
| 976
| 5.32
| 0.352
| 0.225564
| 0.180451
| 0.324812
| 0.421053
| 0.33985
| 0
| 0
| 0
| 0
| 0
| 0.036585
| 0.159836
| 976
| 29
| 73
| 33.655172
| 0.77439
| 0.08709
| 0
| 0
| 0
| 0
| 0.09009
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.095238
| false
| 0
| 0.047619
| 0.047619
| 0.714286
| 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
|
91519cb7674871a52428b5127ab4151498042145
| 3,738
|
py
|
Python
|
resources/clients.py
|
axonepro/sdk-ooti
|
146ba758f571352d02daa56349e8b3affd8ca5a9
|
[
"Unlicense"
] | 1
|
2021-03-13T16:04:54.000Z
|
2021-03-13T16:04:54.000Z
|
resources/clients.py
|
axonepro/sdk-ooti
|
146ba758f571352d02daa56349e8b3affd8ca5a9
|
[
"Unlicense"
] | 7
|
2021-07-21T12:42:39.000Z
|
2022-01-06T10:34:04.000Z
|
resources/clients.py
|
axonepro/sdk-ooti
|
146ba758f571352d02daa56349e8b3affd8ca5a9
|
[
"Unlicense"
] | 2
|
2021-06-22T08:10:48.000Z
|
2021-09-01T09:16:41.000Z
|
import requests
import json
from .helper import Helper
class Clients(Helper):
def __init__(self, base_url, org_pk, teams_pk, access_token, _csrf_token, headers, pagination):
super().__init__(base_url, org_pk, teams_pk, access_token, _csrf_token, headers, pagination)
def get_clients_list(self, team_pk, page=1):
"""Get the clients list
Keyword arguments:
pk -- the pk of the team
"""
route = 'v1/clients/list/{0}/'.format(self.org_pk)
parameters = '?team={0}&page_size={1}&page={2}'.format(team_pk, self.pagination, page)
response = self.process_request(requests, 'GET', self.base_url, route, self.headers, parameters, None)
return self.process_response(response, True)
# TODO POST on /api/v1/clients/list/{org_pk}/
def get_clients_details(self, pk):
"""Get the client details
Keyword arguments:
pk -- the pk of the client
"""
route = 'v1/clients/{0}/'.format(pk)
response = self.process_request(requests, 'GET', self.base_url, route, self.headers, None, None)
return self.process_response(response)
def create_client(self, data):
""" Create client
Keyword arguments:
data -- data create, required fields:
{
"company_name": "string",
"number": "string",
"currency": "string" (currency_pk)
"billing_address": "string",
"team": "string",
"tags": []
}
"""
route = 'v1/clients/list/{0}/'.format(self.org_pk)
response = self.process_request(requests, 'POST', self.base_url, route, self.headers, None, json.dumps(data))
return self.process_response(response)
def update_client(self, pk, data):
""" Update client
Keyword arguments:
pk -- pk of the client
data -- data create, required fields:
{
"company_name": "string",
"currency": "string" (currency_pk),
"number": "string",
"business_vat_id: "string",
"billing_address": "string",
"group": "?"
"address: "string"
}
"""
route = 'v1/clients/{0}/'.format(pk)
response = self.process_request(requests, 'PATCH', self.base_url, route, self.headers, None, json.dumps(data))
return self.process_response(response)
def delete_client(self, pk):
""" Delete client
Keyword arguments:
pk -- pk of the client
"""
route = 'v1/clients/{0}/'.format(pk)
response = self.process_request(requests, 'DELETE', self.base_url, route, self.headers, None, None)
return self.process_response(response)
# TODO GET on /api/v1/clients/export/{org_pk}/
# TODO GET on /api/v1/clients/group/list/{org_pk}/
# TODO POST on /api/v1/clients/group/list/{org_pk}/
# TODO GET on /api/v1/clients/group/{id}/
# TODO PATCH on /api/v1/clients/group/{id}/
# TODO DELETE on /api/v1/clients/group/{id}/
# TODO GET on /api/v1/clients/project/list/{org_pk}/
# TODO POST on /api/v1/clients/project/list/{org_pk}/
# TODO GET on /api/v1/clients/project/{id}/
# TODO PATCH on /api/v1/clients/project/{id}/
# TODO DELETE on /api/v1/clients/project/{id}/
# TODO GET on /api/v1/clients/split/list/{org_pk}/
# TODO POST on /api/v1/clients/split/list/{org_pk}/
# TODO GET on /api/v1/clients/split/{id}/
# TODO PATCH on /api/v1/clients/split/{id}/
# TODO DELETE on /api/v1/clients/split/{id}/
# TODO POST on /api/v1/clients/{id}/apply_default_contact/
| 29.433071
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| 0.59069
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| 3,738
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| 29.433071
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| 0
| 0
| 1
| 0
|
0
| 4
|
e67821f267879245a88e03936e8dac826a09b8d2
| 196
|
py
|
Python
|
kita_friends/admin.py
|
FelixTheC/beak_emailer_list
|
8bb34681f1d6b35a8d0cc8a81e03d1044cf74f06
|
[
"MIT"
] | null | null | null |
kita_friends/admin.py
|
FelixTheC/beak_emailer_list
|
8bb34681f1d6b35a8d0cc8a81e03d1044cf74f06
|
[
"MIT"
] | null | null | null |
kita_friends/admin.py
|
FelixTheC/beak_emailer_list
|
8bb34681f1d6b35a8d0cc8a81e03d1044cf74f06
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from kita_friends.models import KitaFriends
@admin.register(KitaFriends)
class KitaFriendsAdmin(admin.ModelAdmin):
list_display = ('name', 'email', 'kita')
| 21.777778
| 44
| 0.77551
| 23
| 196
| 6.521739
| 0.73913
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0.117347
| 196
| 8
| 45
| 24.5
| 0.867052
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| 0
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| 0
| 0.4
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| 1
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|
0
| 4
|
e687d064b1f15f8654e3b07bc99a16f26dc76104
| 9,687
|
py
|
Python
|
test/test_special.py
|
Sauci/pysvd
|
6ddfb606a47d3cb688b1041d0ed6058f90f144b9
|
[
"MIT"
] | 2
|
2020-12-09T08:03:31.000Z
|
2021-07-02T08:53:19.000Z
|
test/test_special.py
|
Sauci/pysvd
|
6ddfb606a47d3cb688b1041d0ed6058f90f144b9
|
[
"MIT"
] | 3
|
2019-09-05T10:41:32.000Z
|
2021-06-12T21:45:44.000Z
|
test/test_special.py
|
Sauci/pysvd
|
6ddfb606a47d3cb688b1041d0ed6058f90f144b9
|
[
"MIT"
] | 1
|
2019-09-26T07:51:31.000Z
|
2019-09-26T07:51:31.000Z
|
import unittest
import xml.etree.ElementTree as ET
import pysvd
class TestSpecialCluster(unittest.TestCase):
@classmethod
def setUpClass(cls):
node = ET.parse("test/specialCluster.xml").getroot()
cls.peripheral = pysvd.element.Peripheral(None, node)
def test_general(self):
peripheral = self.peripheral
self.assertEqual(peripheral.name, "RTC")
self.assertEqual(peripheral.version, "1.0.1")
self.assertEqual(peripheral.description, "Real-Time Counter")
self.assertEqual(peripheral.groupName, "RTC")
self.assertEqual(peripheral.prependToName, "RTC_")
self.assertEqual(peripheral.baseAddress, 0x40001400)
def test_address_block(self):
self.assertEqual(len(self.peripheral.addressBlocks), 1)
addressBlock = self.peripheral.addressBlocks[0]
self.assertEqual(addressBlock.offset, 0)
self.assertEqual(addressBlock.size, 0x40)
self.assertEqual(addressBlock.usage, pysvd.type.addressBlockUsage.registers)
def test_interrupt(self):
self.assertEqual(len(self.peripheral.interrupts), 1)
interrupt = self.peripheral.interrupts[0]
self.assertEqual(interrupt.name, "RTC_INTREQ")
self.assertEqual(interrupt.value, 3)
def test_register(self):
peripheral = self.peripheral
self.assertEqual(len(peripheral.registers), 0)
def test_cluster(self):
peripheral = self.peripheral
cluster_index = 0
self.assertEqual(len(peripheral.clusters), 3)
for cluster in peripheral.clusters:
if cluster_index == 0:
self.assertEqual(cluster.name, "MODE0")
self.assertEqual(cluster.description, "32-bit Counter with Single 32-bit Compare")
self.assertEqual(cluster.headerStructName, "RtcMode0")
self.assertEqual(cluster.addressOffset, 0)
elif cluster_index == 1:
self.assertEqual(cluster.name, "MODE1")
self.assertEqual(cluster.description, "16-bit Counter with Two 16-bit Compares")
self.assertEqual(cluster.alternateCluster, "MODE0")
self.assertEqual(cluster.headerStructName, "RtcMode1")
self.assertEqual(cluster.addressOffset, 0)
elif cluster_index == 2:
self.assertEqual(cluster.name, "MODE2")
self.assertEqual(cluster.description, "Clock/Calendar with Alarm")
self.assertEqual(cluster.alternateCluster, "MODE0")
self.assertEqual(cluster.headerStructName, "RtcMode2")
self.assertEqual(cluster.addressOffset, 0)
cluster_index += 1
def test_cluster0_register(self):
peripheral = self.peripheral
self.assertEqual(len(peripheral.clusters), 3)
cluster = peripheral.clusters[0]
register_index = 0
self.assertEqual(len(cluster.registers), 5)
for register in cluster.registers:
if register_index == 0:
self.assertEqual(register.name, "CTRL")
self.assertEqual(register.description, "MODE0 Control")
self.assertEqual(register.addressOffset, 0x00)
self.assertEqual(register.size, 16)
elif register_index == 1:
self.assertEqual(register.name, "READREQ")
self.assertEqual(register.description, "Read Request")
self.assertEqual(register.addressOffset, 0x02)
self.assertEqual(register.size, 16)
self.assertEqual(register.resetValue, 0x0010)
elif register_index == 2:
self.assertEqual(register.name, "STATUS")
self.assertEqual(register.description, "Status")
self.assertEqual(register.addressOffset, 0x0A)
self.assertEqual(register.size, 8)
elif register_index == 3:
self.assertEqual(register.name, "COUNT")
self.assertEqual(register.description, "MODE0 Counter Value")
self.assertEqual(register.addressOffset, 0x10)
self.assertEqual(register.size, 32)
elif register_index == 4:
self.assertEqual(register.name, "COMP0")
self.assertEqual(register.description, "MODE0 Compare n Value")
self.assertEqual(register.addressOffset, 0x18)
self.assertEqual(register.size, 32)
register_index += 1
def test_cluster1_register(self):
peripheral = self.peripheral
self.assertEqual(len(peripheral.clusters), 3)
cluster = peripheral.clusters[1]
register_index = 0
self.assertEqual(len(cluster.registers), 7)
for register in cluster.registers:
if register_index == 0:
self.assertEqual(register.name, "CTRL")
self.assertEqual(register.description, "MODE1 Control")
self.assertEqual(register.addressOffset, 0x00)
self.assertEqual(register.size, 16)
elif register_index == 1:
self.assertEqual(register.name, "READREQ")
self.assertEqual(register.description, "Read Request")
self.assertEqual(register.addressOffset, 0x02)
self.assertEqual(register.size, 16)
self.assertEqual(register.resetValue, 0x0010)
elif register_index == 2:
self.assertEqual(register.name, "STATUS")
self.assertEqual(register.description, "Status")
self.assertEqual(register.addressOffset, 0x0A)
self.assertEqual(register.size, 8)
elif register_index == 3:
self.assertEqual(register.name, "COUNT")
self.assertEqual(register.description, "MODE1 Counter Value")
self.assertEqual(register.addressOffset, 0x10)
self.assertEqual(register.size, 16)
elif register_index == 4:
self.assertEqual(register.name, "PER")
self.assertEqual(register.description, "MODE1 Counter Period")
self.assertEqual(register.addressOffset, 0x14)
self.assertEqual(register.size, 16)
elif register_index == 5:
self.assertEqual(register.name, "COMP0")
self.assertEqual(register.description, "MODE1 Compare n Value")
self.assertEqual(register.addressOffset, 0x18)
self.assertEqual(register.size, 16)
elif register_index == 6:
self.assertEqual(register.name, "COMP1")
self.assertEqual(register.description, "MODE1 Compare n Value")
self.assertEqual(register.addressOffset, 0x1A)
self.assertEqual(register.size, 16)
register_index += 1
def test_cluster2_register(self):
peripheral = self.peripheral
self.assertEqual(len(peripheral.clusters), 3)
cluster = peripheral.clusters[2]
register_index = 0
self.assertEqual(len(cluster.registers), 6)
for register in cluster.registers:
if register_index == 0:
self.assertEqual(register.name, "CTRL")
self.assertEqual(register.description, "MODE2 Control")
self.assertEqual(register.addressOffset, 0x00)
self.assertEqual(register.size, 16)
elif register_index == 1:
self.assertEqual(register.name, "READREQ")
self.assertEqual(register.description, "Read Request")
self.assertEqual(register.addressOffset, 0x02)
self.assertEqual(register.size, 16)
self.assertEqual(register.resetValue, 0x0010)
elif register_index == 2:
self.assertEqual(register.name, "STATUS")
self.assertEqual(register.description, "Status")
self.assertEqual(register.addressOffset, 0x0A)
self.assertEqual(register.size, 8)
elif register_index == 3:
self.assertEqual(register.name, "CLOCK")
self.assertEqual(register.description, "MODE2 Clock Value")
self.assertEqual(register.addressOffset, 0x10)
self.assertEqual(register.size, 32)
elif register_index == 4:
self.assertEqual(register.name, "ALARM0")
self.assertEqual(register.description, "MODE2 Alarm n Value")
self.assertEqual(register.addressOffset, 0x18)
self.assertEqual(register.size, 32)
elif register_index == 5:
self.assertEqual(register.name, "MASK0")
self.assertEqual(register.description, "MODE2 Alarm n Mask")
self.assertEqual(register.addressOffset, 0x1C)
self.assertEqual(register.size, 8)
register_index += 1
class TestSpecialDerivePeripheral(unittest.TestCase):
def test_ctor(self):
pass
def test_attributes(self):
pass
class TestSpecialDeriveRegister(unittest.TestCase):
def test_ctor(self):
pass
def test_attributes(self):
pass
class TestSpecialDeriveField(unittest.TestCase):
def test_ctor(self):
pass
def test_attributes(self):
pass
class TestSpecialDeriveEnumeratedValues(unittest.TestCase):
def test_ctor(self):
pass
def test_attributes(self):
pass
class TestSpecialDeriveAll(unittest.TestCase):
def test_ctor(self):
pass
def test_attributes(self):
pass
| 37.257692
| 98
| 0.619387
| 922
| 9,687
| 6.450108
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| 0.277451
| 0.290062
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| 9,687
| 259
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| 37.401544
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| 1
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| 0.051282
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| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
e69383cb65f2a918d451002a11b8ee6ac7a14f8e
| 231
|
py
|
Python
|
gapipy/models/associated_service.py
|
wmak/gapipy
|
b6849606d4f6af24b9f871f65e87aaf0d0c013cc
|
[
"MIT"
] | 4
|
2015-03-19T02:10:35.000Z
|
2018-10-22T19:51:44.000Z
|
gapipy/models/associated_service.py
|
wmak/gapipy
|
b6849606d4f6af24b9f871f65e87aaf0d0c013cc
|
[
"MIT"
] | 69
|
2015-03-11T20:58:04.000Z
|
2021-10-12T18:39:15.000Z
|
gapipy/models/associated_service.py
|
wmak/gapipy
|
b6849606d4f6af24b9f871f65e87aaf0d0c013cc
|
[
"MIT"
] | 1
|
2016-08-31T15:22:43.000Z
|
2016-08-31T15:22:43.000Z
|
from .base import BaseModel
class AssociatedService(BaseModel):
"""
Represent an associated service. Each service can be associated
to other services within the same booking.
"""
_as_is_fields = ['id', 'href']
| 25.666667
| 67
| 0.701299
| 28
| 231
| 5.678571
| 0.892857
| 0
| 0
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| 0
| 0.212121
| 231
| 8
| 68
| 28.875
| 0.873626
| 0.458874
| 0
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| 0
| 0.057143
| 0
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| 0
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| 0
| false
| 0
| 0.333333
| 0
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| null | 0
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| null | 0
| 0
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| 0
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| 1
| 0
| 1
| 0
|
0
| 4
|
e69ee0c351b3290fcfedc07394e71995e2b3e46b
| 91
|
py
|
Python
|
backend/apps/entities/apps.py
|
gabrielmbmb/intry4.0-backend
|
1ac28ad333c93ed6069dc2db4d9fe3a12b8a1b24
|
[
"MIT"
] | 1
|
2020-09-19T11:00:31.000Z
|
2020-09-19T11:00:31.000Z
|
musicbrainz/entities/apps.py
|
tourdownunder/musicbrainz-django
|
bd8f8767ca0144dc10fd9ba2b59beb9de9788640
|
[
"BSD-3-Clause"
] | 8
|
2019-12-30T14:30:13.000Z
|
2021-09-22T18:03:10.000Z
|
backend/apps/entities/apps.py
|
gabrielmbmb/intry4.0-backend
|
1ac28ad333c93ed6069dc2db4d9fe3a12b8a1b24
|
[
"MIT"
] | 1
|
2021-10-03T10:06:29.000Z
|
2021-10-03T10:06:29.000Z
|
from django.apps import AppConfig
class EntitiesConfig(AppConfig):
name = "entities"
| 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
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| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
e6a51d6f29698ab8325adcb3e32abe6570af534b
| 6,077
|
py
|
Python
|
generate.py
|
LordRonz/LordRonz
|
a8ab0f24376c8899f56a36a29650a010cc23fcca
|
[
"WTFPL"
] | 3
|
2021-10-13T09:10:15.000Z
|
2022-02-12T16:29:48.000Z
|
generate.py
|
LordRonz/LordRonz
|
a8ab0f24376c8899f56a36a29650a010cc23fcca
|
[
"WTFPL"
] | 9
|
2021-05-04T11:47:11.000Z
|
2022-03-02T00:46:51.000Z
|
generate.py
|
LordRonz/LordRonz
|
a8ab0f24376c8899f56a36a29650a010cc23fcca
|
[
"WTFPL"
] | 9
|
2021-05-31T18:05:39.000Z
|
2022-03-16T05:58:22.000Z
|
from datetime import datetime
with open("./README.md", "w") as f:
f.write(f'''<p align="center">
<img src="https://readme-typing-svg.herokuapp.com?color=%23EB2754&size=40¢er=true&width=600&height=69&lines=Henlo;Sussy+baka" alt="Typing SVG">
<img src="./shrek.gif" alt="Vibin Greenies"/>
</p>
<p align="center">
<a href="https://github.com/lordronz/" target="_blank">
<img src="https://komarev.com/ghpvc/?username=lordronz&label=Profile%20views&color=690000&style=flat-square" alt="LordRonz"/>
</a>
<a href="https://badges.pufler.dev" target="_blank">
<img src="https://badges.pufler.dev/years/lordronz?style=flat-square&color=690000" alt="Years Badge"/>
</a>
<a href="https://badges.pufler.dev" target="_blank">
<img src="https://badges.pufler.dev/repos/lordronz?style=flat-square&color=690000" alt="Repos Badge"/>
</a>
<a href="https://badges.pufler.dev" target="_blank">
<img src="https://badges.pufler.dev/gists/lordronz?style=flat-square&color=690000" alt="Gists Badge"/>
</a>
<a href="https://badges.pufler.dev" target="_blank">
<img src="https://badges.pufler.dev/commits/monthly/lordronz?style=flat-square&color=690000" alt="Commits Badge"/>
</a>
<a href="https://badges.pufler.dev" target="_blank">
<img src="https://img.shields.io/github/followers/lordronz?style=social" alt="GitHub followers"/>
</a>
<a href="https://badges.pufler.dev" target="_blank">
<img src="https://img.shields.io/github/stars/lordronz?affiliations=OWNER%2CCOLLABORATOR&style=social" alt="GitHub User's stars"/>
</a>
<a href="https://github.com/lordronz/" target="_blank">
<img src="https://img.shields.io/badge/isAwesome-true-blue?style=flat-square&color=690000" alt="LordRonz"/>
</a>
</p>
<p align="center">
<img src="https://raw.githubusercontent.com/lordronz/lordronz/snek-output/github-contribution-grid-snake.svg" alt="Snek"/>
<img src="https://github.com/LordRonz/LordRonz/blob/main/github-metrics.svg" alt="Metrics"/>
<a href="https://github.com/ryo-ma/github-profile-trophy">
<img src="https://github-profile-trophy.vercel.app/?username=lordronz&theme=monokai" alt="lordronz"/>
</a>
</p>
## 🔧 Technologies
<p align="center"> <a href="https://www.cprogramming.com/" target="_blank"> <img src="https://raw.githubusercontent.com/devicons/devicon/master/icons/c/c-original.svg" alt="c" width="40" height="40"/> </a> <a href="https://www.w3schools.com/cpp/" target="_blank"> <img src="https://raw.githubusercontent.com/devicons/devicon/master/icons/cplusplus/cplusplus-original.svg" alt="cplusplus" width="40" height="40"/> </a> <a href="https://www.w3schools.com/css/" target="_blank"> <img src="https://raw.githubusercontent.com/devicons/devicon/master/icons/css3/css3-original-wordmark.svg" alt="css3" width="40" height="40"/> </a> <a href="https://git-scm.com/" target="_blank"> <img src="https://www.vectorlogo.zone/logos/git-scm/git-scm-icon.svg" alt="git" width="40" height="40"/> </a> <a href="https://www.w3.org/html/" target="_blank"> <img src="https://raw.githubusercontent.com/devicons/devicon/master/icons/html5/html5-original-wordmark.svg" alt="html5" width="40" height="40"/> </a> <a href="https://developer.mozilla.org/en-US/docs/Web/JavaScript" target="_blank"> <img src="https://raw.githubusercontent.com/devicons/devicon/master/icons/javascript/javascript-original.svg" alt="javascript" width="40" height="40"/> </a> <a href="https://www.linux.org/" target="_blank"> <img src="https://raw.githubusercontent.com/devicons/devicon/master/icons/linux/linux-original.svg" alt="linux" width="40" height="40"/> </a> <a href="https://nodejs.org" target="_blank"> <img src="https://raw.githubusercontent.com/devicons/devicon/master/icons/nodejs/nodejs-original-wordmark.svg" alt="nodejs" width="40" height="40"/> </a> <a href="https://www.python.org" target="_blank"> <img src="https://raw.githubusercontent.com/devicons/devicon/master/icons/python/python-original.svg" alt="python" width="40" height="40"/> </a> <a href="https://www.typescriptlang.org/" target="_blank"> <img src="https://raw.githubusercontent.com/devicons/devicon/master/icons/typescript/typescript-original.svg" alt="typescript" width="40" height="40"/> </a> <a href="https://expressjs.com" target="_blank"> <img src="https://raw.githubusercontent.com/devicons/devicon/master/icons/express/express-original-wordmark.svg" alt="express" width="40" height="40"/> </a> <a href="https://reactjs.org/" target="_blank" rel="noreferrer"> <img src="https://raw.githubusercontent.com/devicons/devicon/master/icons/react/react-original-wordmark.svg" alt="react" width="40" height="40"/> </a> <a href="https://nextjs.org/" target="_blank" rel="noreferrer"> <img src="https://cdn.worldvectorlogo.com/logos/nextjs-2.svg" alt="nextjs" width="40" height="40"/> </a> <a href="https://postman.com" target="_blank"> <img src="https://www.vectorlogo.zone/logos/getpostman/getpostman-icon.svg" alt="postman" width="40" height="40"/> </a> </p>
<details>
<summary>💻 GitHub Profile Stats</summary>
<br/>
<p align="center">
<img src="https://github-readme-stats.vercel.app/api/top-langs?username=lordronz&show_icons=true&theme=monokai&locale=en&layout=compact&langs_count=10&hide=html,css,vue,cmake,jupyter%20notebook,scss,tex,smarty" alt="Top Lang"/>
<img src="https://github-readme-stats.vercel.app/api?username=lordronz&show_icons=true&theme=monokai&locale=en" alt="LordRonz"/>
<img src="https://github-readme-streak-stats.herokuapp.com/?user=lordronz&theme=monokai" alt="LordRonz"/>
</p>
<b>Note:</b> Top languages is only a metric of the languages my public code consists of and doesn't reflect experience or skill level.
</details>
<br/>
---
<div align="center">
<a href="https://lordronz.github.io" target="_blank">Website: lordronz.github.io</a><br/><br/>
</div>

Updated: {datetime.now().strftime("%d/%m/%Y %H:%M:%S")}
''')
| 89.367647
| 2,791
| 0.697384
| 885
| 6,077
| 4.760452
| 0.227119
| 0.042725
| 0.075718
| 0.080703
| 0.582008
| 0.54854
| 0.51436
| 0.479231
| 0.417755
| 0.347971
| 0
| 0.023449
| 0.087708
| 6,077
| 68
| 2,792
| 89.367647
| 0.736111
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| 0.987496
| 0.014808
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| true
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| null | 0
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| null | 0
| 0
| 0
| 0
| 0
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| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
e6b0717eb0c6ffcf32cfe7cc30c4e486c531c221
| 434
|
py
|
Python
|
PwnTheBox/Hacking For Vodka.py
|
Don2025/CTFwriteUp
|
41e0a5bf87a1a02dd1548e621853c145ff64cedb
|
[
"MIT"
] | 2
|
2022-03-20T02:27:59.000Z
|
2022-03-20T02:28:02.000Z
|
PwnTheBox/Hacking For Vodka.py
|
Don2025/CTFwriteUp
|
41e0a5bf87a1a02dd1548e621853c145ff64cedb
|
[
"MIT"
] | null | null | null |
PwnTheBox/Hacking For Vodka.py
|
Don2025/CTFwriteUp
|
41e0a5bf87a1a02dd1548e621853c145ff64cedb
|
[
"MIT"
] | null | null | null |
a = [0x77, 0x60, 0x76, 0x66, 0x72, 0x77, 0x7D, 0x73, 0x60, 0x3D, 0x64, 0x60, 0x39, 0x52, 0x66, 0x3B, 0x73, 0x7A, 0x23, 0x7D, 0x73, 0x4A, 0x70, 0x78, 0x6A, 0x46, 0x69, 0x2B, 0x76, 0x68, 0x41, 0x77, 0x41, 0x42, 0x49, 0x4A, 0x4A, 0x42, 0x40, 0x48, 0x5A, 0x5A, 0x45, 0x41, 0x59, 0x03, 0x5A, 0x4A, 0x51, 0x5C, 0x4F]
flag = ''
for i in range(len(a)):
flag += chr(a[i]^i)
print(flag) # watevr{th4nk5_h4ck1ng_for_s0ju_hackingforsoju.team}
| 86.8
| 310
| 0.670507
| 73
| 434
| 3.931507
| 0.671233
| 0.055749
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| 0
| 0
| 0
| 0
| 0
| 0
| 0.389041
| 0.158986
| 434
| 5
| 311
| 86.8
| 0.39726
| 0.117512
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| null | 0
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| null | 0
| 1
| 0
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| 0
| 0
| 0
| 0
|
0
| 4
|
e6ba5cb32c8c9200c90c0b7e93702166a725c3e6
| 11,888
|
py
|
Python
|
main.py
|
Carlos-Bonfim/Aplicar_filtros_imagens
|
a49468b82fefb1b60f5ac3d5b4a0b7d8a7e8e5d6
|
[
"MIT"
] | null | null | null |
main.py
|
Carlos-Bonfim/Aplicar_filtros_imagens
|
a49468b82fefb1b60f5ac3d5b4a0b7d8a7e8e5d6
|
[
"MIT"
] | null | null | null |
main.py
|
Carlos-Bonfim/Aplicar_filtros_imagens
|
a49468b82fefb1b60f5ac3d5b4a0b7d8a7e8e5d6
|
[
"MIT"
] | null | null | null |
# import bibliotecas
from typing import List
import streamlit as st
import numpy as np
import cv2
from PIL import Image, ImageEnhance
from io import BytesIO
import base64
st.set_option('deprecation.showfileUploaderEncoding', False)
def get_image_download_link(img):
# Generates a link allowing the PIL image to be downloaded
# in: PIL image
# out: href string
buffered = BytesIO()
img.save(buffered, format="JPEG")
img_str = base64.b64encode(buffered.getvalue()).decode()
href = f'<a href="data:file/jpg;base64,{img_str}" download="My_photo.jpg">Download result</a>'
return href
def main():
banner = Image.open('images/banner.png')
st.sidebar.image(banner, width=300)
st.sidebar.subheader("Meu Portfolio, clique abaixo:")
link = '[*carlosbonfim.com*](https://carlosbonfim.com)'
st.sidebar.markdown(link, unsafe_allow_html=True)
st.title('**Projeto 1 - Aplicação de filtros em Imagens**')
st.sidebar.title('**Filtros**')
# Menu com opções diferentes de páginas
#opcoes_menu = ['Filtros', 'Sobre']
#st.sidebar.selectbox('Escolha uma opção', opcoes_menu)
load_image = Image.open('images/empty.jpg')
# carregando uma imagem
type_images = ['jpeg', 'jpg', 'png']
image_file = st.file_uploader('Carregue uma foto e aplique o filtro no menu lateral', type=type_images)
if image_file is not None:
load_image = Image.open(image_file)
st.sidebar.text('Imagem Original')
st.sidebar.image(load_image, width=100)
# filtros à serem aplicados
filtros = st.sidebar.selectbox('**Selecione um filtro**', ['Original', 'Grayscale', 'Sketch', 'Sépia', 'Blur', 'Canny',
'Contraste e brilho', 'Sharpness'])
if filtros == 'Grayscale':
converted_image = np.array(load_image.convert('RGB'))
gray_image = cv2.cvtColor(converted_image, cv2.COLOR_RGB2GRAY)
opt_size = st.sidebar.slider('Selecione o tamanho', 1, 200, 50)
width = int(load_image.size[0] * opt_size / 100)
height = int(load_image.size[1] * opt_size / 100)
dim = (width, height)
st.sidebar.header("Ajuste o recorte da foto")
left = st.sidebar.slider('Ajuste superior', 1, int(load_image.size[1]), 0)
upper = st.sidebar.slider('Ajuste à esquerda', 1, int(load_image.size[1]), 0)
right = st.sidebar.slider('Ajuste inferior', 1, int(load_image.size[0]), int(load_image.size[0]))
lower = st.sidebar.slider('Ajuste à direita', 1, int(load_image.size[0]), int(load_image.size[0]))
edited_photo_cont_gray = cv2.resize(gray_image[left:(right+1), upper:(lower+1)], dim, interpolation=cv2.INTER_AREA)
st.image(edited_photo_cont_gray)
# download da imagem
result = Image.fromarray(edited_photo_cont_gray)
st.markdown(get_image_download_link(result), unsafe_allow_html=True)
elif filtros == 'Sketch':
sketch_amount = st.sidebar.slider('Selecione a intensidade de contorno', 3, 81, 9, step=2)
converted_image = np.array(load_image.convert('RGB'))
gray_image = cv2.cvtColor(converted_image, cv2.COLOR_RGB2GRAY)
inv_gray_image = 255 - gray_image
blur_image = cv2.GaussianBlur(inv_gray_image, (sketch_amount, sketch_amount), 0, 0)
sketch_image = cv2.divide(gray_image, 255 - blur_image, scale=256)
opt_size = st.sidebar.slider('Selecione o tamanho', 1, 200, 50)
width = int(load_image.size[0] * opt_size / 100)
height = int(load_image.size[1] * opt_size / 100)
dim = (width, height)
st.sidebar.header("Ajuste o recorte da foto")
left = st.sidebar.slider('Ajuste superior', 1, int(load_image.size[1]), 0)
upper = st.sidebar.slider('Ajuste à esquerda', 1, int(load_image.size[1]), 0)
right = st.sidebar.slider('Ajuste inferior', 1, int(load_image.size[0]), int(load_image.size[0]))
lower = st.sidebar.slider('Ajuste à direita', 1, int(load_image.size[0]), int(load_image.size[0]))
edited_photo_cont_sketch = cv2.resize(sketch_image[left:(right+1), upper:(lower+1)], dim, interpolation=cv2.INTER_AREA)
st.image(edited_photo_cont_sketch)
# download da imagem
result = Image.fromarray(edited_photo_cont_sketch)
st.markdown(get_image_download_link(result), unsafe_allow_html=True)
elif filtros == 'Sépia':
sepia_amount = st.sidebar.slider('Selecione a intensidade', 1, 3, 1, step=1)
converted_image = np.array(load_image.convert('RGB'))
kernel = np.array([[0.272, 0.534, 0.131],
[0.349, 0.686, 0.168],
[0.393, 0.769, 0.189]])
teste = kernel * sepia_amount
sepia_image = cv2.filter2D(converted_image, -1, teste)
opt_size = st.sidebar.slider('Selecione o tamanho', 1, 200, 50)
width = int(load_image.size[0] * opt_size / 100)
height = int(load_image.size[1] * opt_size / 100)
dim = (width, height)
st.sidebar.header("Ajuste o recorte da foto")
left = st.sidebar.slider('Ajuste superior', 1, int(load_image.size[1]), 0)
upper = st.sidebar.slider('Ajuste à esquerda', 1, int(load_image.size[1]), 0)
right = st.sidebar.slider('Ajuste inferior', 1, int(load_image.size[0]), int(load_image.size[0]))
lower = st.sidebar.slider('Ajuste à direita', 1, int(load_image.size[0]), int(load_image.size[0]))
edited_photo_cont_sepia = cv2.resize(sepia_image[left:(right+1), upper:(lower+1)], dim, interpolation=cv2.INTER_AREA)
#st.image(edited_photo_cont_sepia, channels='BGR')
st.image(edited_photo_cont_sepia, channels='RGB')
# download da imagem
result = Image.fromarray(edited_photo_cont_sepia)
st.markdown(get_image_download_link(result), unsafe_allow_html=True)
elif filtros == 'Blur':
b_amount = st.sidebar.slider('Selecione a intensidade', 3, 81, 9, step=2)
converted_image = np.array(load_image.convert('RGB'))
converted_image = cv2.cvtColor(converted_image, cv2.COLOR_RGB2BGR)
blur_image = cv2.GaussianBlur(converted_image, (b_amount, b_amount), 0, 0)
opt_size = st.sidebar.slider('Selecione o tamanho', 1, 200, 50)
width = int(load_image.size[0] * opt_size / 100)
height = int(load_image.size[1] * opt_size / 100)
dim = (width, height)
st.sidebar.header("Ajuste o recorte da foto")
left = st.sidebar.slider('Ajuste superior', 1, int(load_image.size[1]), 0)
upper = st.sidebar.slider('Ajuste à esquerda', 1, int(load_image.size[1]), 0)
right = st.sidebar.slider('Ajuste inferior', 1, int(load_image.size[0]), int(load_image.size[0]))
lower = st.sidebar.slider('Ajuste à direita', 1, int(load_image.size[0]), int(load_image.size[0]))
edited_photo_cont_blur = cv2.resize(blur_image[left:(right+1), upper:(lower+1)], dim, interpolation=cv2.INTER_AREA)
st.image(edited_photo_cont_blur, channels='BGR')
# download da imagem
result = Image.fromarray(edited_photo_cont_blur)
st.markdown(get_image_download_link(result), unsafe_allow_html=True)
elif filtros == 'Canny':
b_amount = st.sidebar.slider('Selecione a intensidade', 1, 33, 3, step=2)
converted_image = np.array(load_image.convert('RGB'))
converted_image = cv2.cvtColor(converted_image, cv2.COLOR_RGB2BGR)
blur_image = cv2.GaussianBlur(converted_image, (b_amount, b_amount), 0, 0)
canny = cv2.Canny(blur_image, 100, 150)
opt_size = st.sidebar.slider('Selecione o tamanho', 1, 200, 50)
width = int(load_image.size[0] * opt_size / 100)
height = int(load_image.size[1] * opt_size / 100)
dim = (width, height)
st.sidebar.header("Ajuste o recorte da foto")
left = st.sidebar.slider('Ajuste superior', 1, int(load_image.size[1]), 0)
upper = st.sidebar.slider('Ajuste à esquerda', 1, int(load_image.size[1]), 0)
right = st.sidebar.slider('Ajuste inferior', 1, int(load_image.size[0]), int(load_image.size[0]))
lower = st.sidebar.slider('Ajuste à direita', 1, int(load_image.size[0]), int(load_image.size[0]))
edited_photo_cont_canny = cv2.resize(canny[left:(right+1), upper:(lower+1)], dim, interpolation=cv2.INTER_AREA)
st.image(edited_photo_cont_canny)
# download da imagem
result = Image.fromarray(edited_photo_cont_canny)
st.markdown(get_image_download_link(result), unsafe_allow_html=True)
elif filtros == 'Contraste e brilho':
bb_amount = st.sidebar.slider('brilho', -100, 100, 0)
cc_amount = st.sidebar.slider('Contraste', -100, 100, 0)
brightness = bb_amount
contrast = cc_amount
img = np.int16(load_image)
img = img * (contrast / 127 + 1) - contrast + brightness
img = np.clip(img, 0, 255)
img = np.uint8(img)
opt_size = st.sidebar.slider('Selecione o tamanho', 1, 200, 50)
width = int(load_image.size[0] * opt_size / 100)
height = int(load_image.size[1] * opt_size / 100)
dim = (width, height)
st.sidebar.header("Ajuste o recorte da foto")
left = st.sidebar.slider('Ajuste superior', 1, int(load_image.size[1]), 0)
upper = st.sidebar.slider('Ajuste à esquerda', 1, int(load_image.size[1]), 0)
right = st.sidebar.slider('Ajuste inferior', 1, int(load_image.size[0]), int(load_image.size[0]))
lower = st.sidebar.slider('Ajuste à direita', 1, int(load_image.size[0]), int(load_image.size[0]))
edited_photo_cont_bril = cv2.resize(img[left:(right+1), upper:(lower+1)], dim, interpolation=cv2.INTER_AREA)
st.image(edited_photo_cont_bril)
# download da imagem
result = Image.fromarray(edited_photo_cont_bril)
st.markdown(get_image_download_link(result), unsafe_allow_html=True)
elif filtros == 'Sharpness':
sharp_amount = st.sidebar.slider('Selecione a intensidade', 0, 10, 1, step=1)
converted_image = np.array(load_image.convert('RGB'))
#converted_image = cv2.cvtColor(converted_image, cv2.COLOR_RGB2BGR)
kernel = np.array([[-1.0, -1.0, -1.0],
[-1.0, 9.0, -1.0],
[-1.0, -1.0, -1.0]])
teste = kernel * sharp_amount
sharp_image = cv2.filter2D(converted_image, -1, teste)
opt_size = st.sidebar.slider('Selecione o tamanho', 1, 200, 50)
width = int(load_image.size[0] * opt_size / 100)
height = int(load_image.size[1] * opt_size / 100)
dim = (width, height)
st.sidebar.header("Ajuste o recorte da foto")
left = st.sidebar.slider('Ajuste superior', 1, int(load_image.size[1]), 0)
upper = st.sidebar.slider('Ajuste à esquerda', 1, int(load_image.size[1]), 0)
right = st.sidebar.slider('Ajuste inferior', 1, int(load_image.size[0]), int(load_image.size[0]))
lower = st.sidebar.slider('Ajuste à direita', 1, int(load_image.size[0]), int(load_image.size[0]))
edited_photo_sharp = cv2.resize(sharp_image[left:(right + 1), upper:(lower + 1)], dim, interpolation=cv2.INTER_AREA)
st.image(edited_photo_sharp, channels='RGB')
# download da imagem
result = Image.fromarray(edited_photo_sharp)
st.markdown(get_image_download_link(result), unsafe_allow_html=True)
elif filtros == 'Original':
opt_size = st.sidebar.slider('Selecione o tamanho', min_value=int(load_image.size[0]/2), max_value=load_image.size[0])
st.image(load_image, width=opt_size)
else:
opt_size = st.sidebar.slider('Selecione o tamanho', min_value=int(load_image.size[0]/2), max_value=load_image.size[0])
st.image(load_image, width=opt_size)
if __name__ == '__main__':
main()
| 45.201521
| 127
| 0.652759
| 1,699
| 11,888
| 4.395527
| 0.125956
| 0.08677
| 0.104446
| 0.124264
| 0.735806
| 0.735806
| 0.735806
| 0.719068
| 0.699518
| 0.664837
| 0
| 0.040625
| 0.209034
| 11,888
| 263
| 128
| 45.201521
| 0.753589
| 0.044499
| 0
| 0.488636
| 0
| 0.005682
| 0.130059
| 0.009258
| 0
| 0
| 0
| 0
| 0
| 1
| 0.011364
| false
| 0
| 0.039773
| 0
| 0.056818
| 0
| 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
|
e6c45c18d5a068957105efbc00418b636df5d6a5
| 141
|
py
|
Python
|
AIXOR/Utils/Utils.py
|
scando1993/MLPXORGate
|
0a1eefe32941f45be3c28b40d4f0637b23446fca
|
[
"BSD-3-Clause"
] | null | null | null |
AIXOR/Utils/Utils.py
|
scando1993/MLPXORGate
|
0a1eefe32941f45be3c28b40d4f0637b23446fca
|
[
"BSD-3-Clause"
] | null | null | null |
AIXOR/Utils/Utils.py
|
scando1993/MLPXORGate
|
0a1eefe32941f45be3c28b40d4f0637b23446fca
|
[
"BSD-3-Clause"
] | null | null | null |
import json
def save_file(filename, obj):
with open(filename,'w') as fp:
json.dump(obj, fp)
def read_file(filename):
pass
| 14.1
| 34
| 0.64539
| 22
| 141
| 4.045455
| 0.681818
| 0.269663
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.234043
| 141
| 10
| 35
| 14.1
| 0.824074
| 0
| 0
| 0
| 0
| 0
| 0.007042
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0.166667
| 0.166667
| 0
| 0.5
| 0
| 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
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
e6d972dedf63ed5eda159191889e6b094358c096
| 209
|
py
|
Python
|
src/__init__.py
|
transhapHigsn/neo4jFastAPI
|
03edd6cd49d104f74fd3f220d9d2cf8d0551fe1e
|
[
"Apache-2.0"
] | 8
|
2020-08-17T20:12:03.000Z
|
2022-03-18T05:15:43.000Z
|
src/__init__.py
|
transhapHigsn/neo4jFastAPI
|
03edd6cd49d104f74fd3f220d9d2cf8d0551fe1e
|
[
"Apache-2.0"
] | 1
|
2020-08-17T20:11:28.000Z
|
2020-08-31T05:40:29.000Z
|
src/__init__.py
|
transhapHigsn/neo4jFastAPI
|
03edd6cd49d104f74fd3f220d9d2cf8d0551fe1e
|
[
"Apache-2.0"
] | 2
|
2020-08-17T20:12:06.000Z
|
2020-09-09T07:31:54.000Z
|
from neo4j import GraphDatabase
from src.config import get_config
driver = GraphDatabase.driver(
get_config('neo4j', 'uri'),
auth=(
get_config('neo4j', 'username'),
get_config('neo4j', 'password')
)
)
| 19
| 34
| 0.717703
| 26
| 209
| 5.615385
| 0.461538
| 0.246575
| 0.287671
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.022099
| 0.133971
| 209
| 10
| 35
| 20.9
| 0.78453
| 0
| 0
| 0
| 0
| 0
| 0.162679
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.111111
| 0.222222
| 0
| 0.222222
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
e6fea186748fb91e3c2bf23506a0adaae3ab65ff
| 239
|
py
|
Python
|
setup.py
|
jeremyadavis/crdc-api
|
0539d2ac8cd50d855928b5fc18cc57ecb020c65a
|
[
"MIT"
] | null | null | null |
setup.py
|
jeremyadavis/crdc-api
|
0539d2ac8cd50d855928b5fc18cc57ecb020c65a
|
[
"MIT"
] | null | null | null |
setup.py
|
jeremyadavis/crdc-api
|
0539d2ac8cd50d855928b5fc18cc57ecb020c65a
|
[
"MIT"
] | null | null | null |
# from setuptools import setup
# setup(
# name='crdc_api',
# version='0.1.0',
# packages=['crdc_api'],
# entry_points={
# 'console_scripts': [
# 'crdc_api = crdc_api.__main__:main'
# ]
# })
| 19.916667
| 49
| 0.514644
| 25
| 239
| 4.52
| 0.64
| 0.247788
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.018293
| 0.313808
| 239
| 11
| 50
| 21.727273
| 0.670732
| 0.90795
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 1
| 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
| 0
| 0
| 0
| 0
|
0
| 4
|
fc064455be36cfe26117121448bf6429ea90d838
| 1,242
|
py
|
Python
|
TaobaoCrawler(new)/test/postman测试.py
|
Twentyfour2021/ECommerceCrawlers
|
901d1393382a6a121d476074586da2b994e1d4dd
|
[
"MIT"
] | 3,469
|
2019-04-09T12:06:38.000Z
|
2022-03-31T14:06:43.000Z
|
TaobaoCrawler(new)/test/postman测试.py
|
Twentyfour2021/ECommerceCrawlers
|
901d1393382a6a121d476074586da2b994e1d4dd
|
[
"MIT"
] | 48
|
2019-06-16T09:24:01.000Z
|
2022-03-12T00:03:32.000Z
|
TaobaoCrawler(new)/test/postman测试.py
|
Twentyfour2021/ECommerceCrawlers
|
901d1393382a6a121d476074586da2b994e1d4dd
|
[
"MIT"
] | 1,069
|
2019-04-30T14:17:18.000Z
|
2022-03-31T07:12:48.000Z
|
import requests
url = "https://h5api.m.taobao.com/h5/mtop.alimama.union.sem.landing.pc.items/1.0/?jsv=2.4.0&appKey=12574478&t=1582716745850&sign=1b91fff529136fed287df8f0056cecd6&api=mtop.alimama.union.sem.landing.pc.items&v=1.0&AntiCreep=true&dataType=jsonp&type=jsonp&ecode=0&callback=mtopjsonp2&data=%7B%22keyword%22%3A%22%E5%8D%8E%E4%B8%BA%E6%89%8B%E6%9C%BA%22%2C%22ppath%22%3A%22%22%2C%22loc%22%3A%22%22%2C%22minPrice%22%3A%22%22%2C%22maxPrice%22%3A%22%22%2C%22ismall%22%3A%22%22%2C%22ship%22%3A%22%22%2C%22itemAssurance%22%3A%22%22%2C%22exchange7%22%3A%22%22%2C%22custAssurance%22%3A%22%22%2C%22b%22%3A%22%22%2C%22clk1%22%3A%22%22%2C%22pvoff%22%3A%22%22%2C%22pageSize%22%3A%22100%22%2C%22page%22%3A%22%22%2C%22elemtid%22%3A%221%22%2C%22refpid%22%3A%22%22%2C%22pid%22%3A%22430673_1006%22%2C%22featureNames%22%3A%22spGoldMedal%2CdsrDescribe%2CdsrDescribeGap%2CdsrService%2CdsrServiceGap%2CdsrDeliver%2C%20dsrDeliverGap%22%2C%22ac%22%3A%22%22%2C%22wangwangid%22%3A%22%22%2C%22catId%22%3A%22%22%7D"
payload = {}
headers = {
'cookie': '_m_h5_tk=e0c7d67a1c53c77c6b99713095604dd2_1582728834870; _m_h5_tk_enc=4dd920929127292a2f2249db13ad10c4'
}
response = requests.request("GET", url, headers=headers, data=payload)
print(response.text)
| 95.538462
| 983
| 0.788245
| 228
| 1,242
| 4.254386
| 0.434211
| 0.090722
| 0.11134
| 0.140206
| 0.23299
| 0.068041
| 0.068041
| 0
| 0
| 0
| 0
| 0.30198
| 0.024155
| 1,242
| 12
| 984
| 103.5
| 0.49835
| 0
| 0
| 0
| 0
| 0.125
| 0.874396
| 0.08132
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.125
| 0
| 0.125
| 0.125
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
fc3f71be83dd0e8341c5927688c47a87f47fd4ee
| 29
|
py
|
Python
|
feedback/tests/__init__.py
|
everyvoter/everyvoter
|
65d9b8bdf9b5c64057135c279f6e03b6c207e0fa
|
[
"MIT"
] | 5
|
2019-07-01T17:50:44.000Z
|
2022-02-20T02:44:42.000Z
|
feedback/tests/__init__.py
|
everyvoter/everyvoter
|
65d9b8bdf9b5c64057135c279f6e03b6c207e0fa
|
[
"MIT"
] | 3
|
2020-06-05T21:44:33.000Z
|
2021-06-10T21:39:26.000Z
|
feedback/tests/__init__.py
|
everyvoter/everyvoter
|
65d9b8bdf9b5c64057135c279f6e03b6c207e0fa
|
[
"MIT"
] | 1
|
2021-12-09T06:32:40.000Z
|
2021-12-09T06:32:40.000Z
|
"""Tests for feedback app"""
| 14.5
| 28
| 0.655172
| 4
| 29
| 4.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.137931
| 29
| 1
| 29
| 29
| 0.76
| 0.758621
| 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
|
fc419b40610b35f9c4e9d26a70769ace5e041d58
| 1,832
|
py
|
Python
|
test/test_ezsigndocument_get_ezsignpages_v1_response.py
|
ezmaxinc/eZmax-SDK-python
|
6794b8001abfb7d9ae18a3b87aba164839b925a0
|
[
"MIT"
] | null | null | null |
test/test_ezsigndocument_get_ezsignpages_v1_response.py
|
ezmaxinc/eZmax-SDK-python
|
6794b8001abfb7d9ae18a3b87aba164839b925a0
|
[
"MIT"
] | null | null | null |
test/test_ezsigndocument_get_ezsignpages_v1_response.py
|
ezmaxinc/eZmax-SDK-python
|
6794b8001abfb7d9ae18a3b87aba164839b925a0
|
[
"MIT"
] | null | null | null |
"""
eZmax API Definition (Full)
This API expose all the functionnalities for the eZmax and eZsign applications. # noqa: E501
The version of the OpenAPI document: 1.1.7
Contact: support-api@ezmax.ca
Generated by: https://openapi-generator.tech
"""
import sys
import unittest
import eZmaxApi
from eZmaxApi.model.common_response import CommonResponse
from eZmaxApi.model.common_response_obj_debug import CommonResponseObjDebug
from eZmaxApi.model.common_response_obj_debug_payload import CommonResponseObjDebugPayload
from eZmaxApi.model.ezsigndocument_get_ezsignpages_v1_response_all_of import EzsigndocumentGetEzsignpagesV1ResponseAllOf
from eZmaxApi.model.ezsigndocument_get_ezsignpages_v1_response_m_payload import EzsigndocumentGetEzsignpagesV1ResponseMPayload
globals()['CommonResponse'] = CommonResponse
globals()['CommonResponseObjDebug'] = CommonResponseObjDebug
globals()['CommonResponseObjDebugPayload'] = CommonResponseObjDebugPayload
globals()['EzsigndocumentGetEzsignpagesV1ResponseAllOf'] = EzsigndocumentGetEzsignpagesV1ResponseAllOf
globals()['EzsigndocumentGetEzsignpagesV1ResponseMPayload'] = EzsigndocumentGetEzsignpagesV1ResponseMPayload
from eZmaxApi.model.ezsigndocument_get_ezsignpages_v1_response import EzsigndocumentGetEzsignpagesV1Response
class TestEzsigndocumentGetEzsignpagesV1Response(unittest.TestCase):
"""EzsigndocumentGetEzsignpagesV1Response unit test stubs"""
def setUp(self):
pass
def tearDown(self):
pass
def testEzsigndocumentGetEzsignpagesV1Response(self):
"""Test EzsigndocumentGetEzsignpagesV1Response"""
# FIXME: construct object with mandatory attributes with example values
# model = EzsigndocumentGetEzsignpagesV1Response() # noqa: E501
pass
if __name__ == '__main__':
unittest.main()
| 38.978723
| 126
| 0.819323
| 159
| 1,832
| 9.238994
| 0.465409
| 0.049013
| 0.069435
| 0.046971
| 0.186521
| 0.165419
| 0.165419
| 0.112321
| 0
| 0
| 0
| 0.014879
| 0.119541
| 1,832
| 46
| 127
| 39.826087
| 0.895846
| 0.258188
| 0
| 0.130435
| 0
| 0
| 0.12282
| 0.106141
| 0
| 0
| 0
| 0.021739
| 0
| 1
| 0.130435
| false
| 0.130435
| 0.391304
| 0
| 0.565217
| 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
| 0
| 0
| 1
| 1
| 0
| 1
| 0
|
0
| 4
|
fc42cf4f99e3e989028ee858ef73a6d7e1a753c2
| 7,615
|
py
|
Python
|
scanners/udp-probe.py
|
dev-zzo/pwn-tools
|
bb7a6ff42ec6945da3373e53d35836b22ce38413
|
[
"Unlicense"
] | 7
|
2015-12-21T19:04:54.000Z
|
2020-05-14T12:12:03.000Z
|
scanners/udp-probe.py
|
dev-zzo/pwn-tools
|
bb7a6ff42ec6945da3373e53d35836b22ce38413
|
[
"Unlicense"
] | null | null | null |
scanners/udp-probe.py
|
dev-zzo/pwn-tools
|
bb7a6ff42ec6945da3373e53d35836b22ce38413
|
[
"Unlicense"
] | null | null | null |
#!/usr/bin/python
"""
UDP Service Scanner version 0.1 by dev_zzo
This work has largely been inspired by:
https://github.com/portcullislabs/udp-proto-scanner
As is, this is more like a prober than scanner;
it operates using predefined probes for each known protocol.
"""
import argparse
import socket
import struct
import time
__scan_spec = (
# port, service name, probe
(53, 'DNSStatusRequest',
"\x00\x00\x10\x00\x00\x00\x00\x00\x00\x00\x00\x00"),
(53, 'DNSVersionBindReq',
"\x00\x06\x01\x00\x00\x01\x00\x00\x00\x00\x00\x00\x07\x76\x65\x72\x73\x69\x6f\x6e\x04\x62\x69\x6e\x64\x00\x00\x10\x00\x03"),
(69, 'tftp', "\x00\x01/etc/passwd\x00netascii\x00"),
(111, 'rpc',
"\x03\x9b\x65\x42\x00\x00\x00\x00\x00\x00\x00\x02\x00\x0f\x42\x43\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00"),
(111, 'RPCCheck',
"\x72\xFE\x1D\x13\x00\x00\x00\x00\x00\x00\x00\x02\x00\x01\x86\xA0\x00\x01\x97\x7C\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00"),
(123, 'ntp',
"\xcb\x00\x04\xfa\x00\x01\x00\x00\x00\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\xbf\xbe\x70\x99\xcd\xb3\x40\x00"),
(123, 'NTPRequest',
"\xe3\x00\x04\xfa\x00\x01\x00\x00\x00\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\xc5\x4f\x23\x4b\x71\xb1\x52\xf3"),
(137, 'NBTStat', "\x80\xf0\x00\x10\x00\x01\x00\x00\x00\x00\x00\x00\x20\x43\x4b\x41\x41\x41\x41\x41\x41\x41\x41\x41\x41\x41\x41\x41\x41\x41\x41\x41\x41\x41\x41\x41\x41\x41\x41\x41\x41\x41\x41\x41\x41\x00\x00\x21\x00\x01"),
# SNMP v1 GetRequest PDU, with community=public
(161, 'SNMPv1GetRequest-public',
"\x30\x82\x00\x2f\x02\x01\x00\x04\x06\x70\x75\x62\x6c\x69\x63\xa0\x82\x00\x20\x02\x04\x4c\x33\xa7\x56\x02\x01\x00\x02\x01\x00\x30\x82\x00\x10\x30\x82\x00\x0c\x06\x08\x2b\x06\x01\x02\x01\x01\x05\x00\x05\x00"),
# SNMP v3 GetRequest PDU, no auth, no priv, contextEngineID=0, contextName=0
# Unlikely to work...
(161, 'SNMPv3GetRequest',
"\x30\x3a\x02\x01\x03\x30\x0f\x02\x02\x4a\x69\x02\x03\x00\xff\xe3\x04\x01\x04\x02\x01\x03\x04\x10\x30\x0e\x04\x00\x02\x01\x00\x02\x01\x00\x04\x00\x04\x00\x04\x00\x30\x12\x04\x00\x04\x00\xa0\x0c\x02\x02\x37\xf0\x02\x01\x00\x02\x01\x00\x30\x00"),
(177, 'xdmcp', "\x00\x01\x00\x02\x00\x01\x00\x00"),
(500, 'ike', "\x5b\x5e\x64\xc0\x3e\x99\xb5\x11\x00\x00\x00\x00\x00\x00\x00\x00\x01\x10\x02\x00\x00\x00\x00\x00\x00\x00\x01\x50\x00\x00\x01\x34\x00\x00\x00\x01\x00\x00\x00\x01\x00\x00\x01\x28\x01\x01\x00\x08\x03\x00\x00\x24\x01\x01"),
(523, 'db2', "DB2GETADDR\x00SQL08020"),
(1434, 'ms-sql', "\x02"),
(1434, 'ms-sql-slam', "\x0A"),
(1604, 'citrix', "\x1e\x00\x01\x30\x02\xfd\xa8\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00"),
(5405, 'net-support', "\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x80\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00"),
(6502, 'netop', "\xd6\x81\x81\x52\x00\x00\x00\xf3\x87\x4e\x01\x02\x32\x00\xa8\xc0\x00\x00\x01\x13\xc1\xd9\x04\xdd\x03\x7d\x00\x00\x0d\x00\x54\x48\x43\x54\x48\x43\x54\x48\x43\x54\x48\x43\x54\x48\x43\x20\x20\x20\x20\x20\x20\x20\x20\x20\x20\x20\x20\x20\x20\x20\x20\x20\x02\x32\x00\xa8\xc0\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00"),
)
def ip2long(ipaddr):
return long(struct.unpack('!L', socket.inet_aton(ipaddr))[0])
def long2ip(ipaddr):
return socket.inet_ntoa(struct.pack('!L', ipaddr))
def __dump_bytes(data):
return ' '.join([('%02X' % ord(x)) for x in data])
def __dump_chars(data):
return ''.join([(x if 0x20 <= ord(x) < 0x80 else '.') for x in data])
def dump(data):
i = 0
lines = []
while i < len(data):
line = data[i:(i + 16)]
p1 = __dump_bytes(line[:8])
p2 = __dump_bytes(line[8:]) if len(line) > 8 else ''
lines.append('%08X %-24s %-24s %s' % (i, p1, p2, __dump_chars(line)))
i += 16
return "\n".join(lines)
def parse_targets(targets):
"Parse the target specs provided by the user"
results = []
for target_spec in targets:
if '/' in target_spec:
# a.b.c.d/m ?
net_addr, net_mask = target_spec.split('/')
net_addr = ip2long(net_addr)
net_mask = int(net_mask)
dev_mask = (1 << (32 - net_mask)) - 1
net_addr = net_addr & ~dev_mask
# First address is not allocated, last address is broadcast
for i in xrange(1, dev_mask):
addr = long2ip(net_addr + i)
results.append(addr)
elif '-' in target_spec:
# a.b.c.d-e.f.g.h ?
start_addr, end_addr = target_spec.split('-')
addr = ip2long(start_addr)
end_addr = ip2long(end_addr)
while addr <= end_addr:
addr = long2ip(a)
results.append(addr)
addr += 1
else:
addr = ip2long(target_spec)
results.append(target_spec)
return results
def scan_main(args):
"Main scanning routine"
global __scan_spec
targets = parse_targets(args.targets)
responses = {}
print("Starting scan.")
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
s.bind(('', 57022))
try:
for port, name, probe in __scan_spec:
print("Running probe '%s'..." % name)
s.settimeout(None)
for target in targets:
s.sendto(probe, (target, port))
s.settimeout(0.0)
# print("Waiting for replies...")
time.sleep(args.delay)
while True:
try:
response, addr = s.recvfrom(16384)
# print("Response from %s:%d" % addr)
try:
target_responses = responses[addr]
except KeyError:
target_responses = responses[addr] = {}
target_responses[name] = response
except socket.error as e:
# http://stackoverflow.com/a/2578794/1654774
# ICMP Port Unreachable can't be handled properly. :-(
if e.args[0] in (11, 10035):
break
if e.args[0] not in (10054):
raise
finally:
s.close()
print("Scan completed.")
for addr, target_responses in responses.iteritems():
print('')
print('=' * 76)
print("Report for %s:" % addr[0])
print('=' * 76)
for name, response in target_responses.iteritems():
print('')
print("Probe: %s, port: %d" % (name, addr[1]))
print(dump(response))
def __main():
print('\nUDP Service Scanner version 0.1\n')
parser = argparse.ArgumentParser(description='UDP Service Scanner')
parser.add_argument('targets', metavar='target', nargs='+',
help='IP address or range (ip/mask, ip-ip)')
parser.add_argument('--delay',
type=float,
default=1.0,
help='Time to wait (seconds) before moving on to the next probe')
args = parser.parse_args()
scan_main(args)
if __name__ == '__main__':
__main()
| 41.38587
| 457
| 0.601838
| 1,222
| 7,615
| 3.685761
| 0.279869
| 0.342362
| 0.453597
| 0.55151
| 0.285968
| 0.271758
| 0.260213
| 0.234458
| 0.212478
| 0.188499
| 0
| 0.225561
| 0.222193
| 7,615
| 183
| 458
| 41.612022
| 0.534864
| 0.098096
| 0
| 0.069767
| 0
| 0.100775
| 0.4407
| 0.367949
| 0
| 0
| 0.001157
| 0
| 0
| 1
| 0.062016
| false
| 0.007752
| 0.031008
| 0.031008
| 0.139535
| 0.085271
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 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
|
fc4bf91c20a190907ea0d89defa2cfc6731d05ba
| 138
|
py
|
Python
|
stellar/__init__.py
|
kevinjqiu/stellar
|
32cd40723b481cbd52722f73749b5d1f3e3971bd
|
[
"MIT"
] | 932
|
2015-01-01T16:51:32.000Z
|
2022-03-14T05:12:52.000Z
|
stellar/__init__.py
|
orf/stellar
|
2d0630f005186bab207c104d14f3430e176ca2a5
|
[
"MIT"
] | 43
|
2015-01-05T13:31:30.000Z
|
2021-10-12T17:24:07.000Z
|
stellar/__init__.py
|
orf/stellar
|
2d0630f005186bab207c104d14f3430e176ca2a5
|
[
"MIT"
] | 64
|
2015-01-02T14:44:22.000Z
|
2021-12-10T18:47:44.000Z
|
from . import app
from . import command
from . import config
from . import models
from . import operations
__version__ = app.__version__
| 17.25
| 29
| 0.775362
| 18
| 138
| 5.5
| 0.444444
| 0.505051
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.173913
| 138
| 7
| 30
| 19.714286
| 0.868421
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.833333
| 0
| 0.833333
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
fc86d035eb620c343578585696eef3ed77ff8e13
| 163
|
py
|
Python
|
shoottikala/models/__init__.py
|
conikuvat/shootti-ilmo
|
bf5ab15e20173994bac25e6b5cd3aec42f671f05
|
[
"MIT"
] | null | null | null |
shoottikala/models/__init__.py
|
conikuvat/shootti-ilmo
|
bf5ab15e20173994bac25e6b5cd3aec42f671f05
|
[
"MIT"
] | 9
|
2017-02-15T20:36:49.000Z
|
2017-05-26T12:10:43.000Z
|
shoottikala/models/__init__.py
|
conikuvat/shootti-ilmo
|
bf5ab15e20173994bac25e6b5cd3aec42f671f05
|
[
"MIT"
] | null | null | null |
# flake8: noqa
from .day import Day
from .event import Event
from .cosplayer import Cosplayer
from .photographer import Photographer
from .message import Message
| 20.375
| 38
| 0.809816
| 22
| 163
| 6
| 0.409091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007194
| 0.147239
| 163
| 7
| 39
| 23.285714
| 0.942446
| 0.07362
| 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
|
fc8fd82de6f6b33469ee774334b88eaa9a0c5baf
| 843
|
py
|
Python
|
shop/migrations/0004_orders.py
|
bpmaurya/Ecom-website
|
6fd166918be254214069ad3fe3c81537cd5d5392
|
[
"MIT"
] | 2
|
2020-11-02T11:00:22.000Z
|
2020-12-30T19:01:32.000Z
|
shop/migrations/0004_orders.py
|
bpmaurya/Ecom-website
|
6fd166918be254214069ad3fe3c81537cd5d5392
|
[
"MIT"
] | 10
|
2020-12-30T17:38:13.000Z
|
2022-01-13T03:26:42.000Z
|
shop/migrations/0004_orders.py
|
bpmaurya/Ecom-website
|
6fd166918be254214069ad3fe3c81537cd5d5392
|
[
"MIT"
] | null | null | null |
# Generated by Django 3.0.7 on 2020-07-14 12:30
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('shop', '0003_contact'),
]
operations = [
migrations.CreateModel(
name='Orders',
fields=[
('order_id', models.AutoField(primary_key=True, serialize=False)),
('items_json', models.CharField(max_length=5000)),
('name', models.CharField(max_length=90)),
('email', models.CharField(max_length=111)),
('address', models.CharField(max_length=111)),
('city', models.CharField(max_length=111)),
('state', models.CharField(max_length=111)),
('zip_code', models.CharField(max_length=111)),
],
),
]
| 31.222222
| 82
| 0.553974
| 85
| 843
| 5.352941
| 0.588235
| 0.230769
| 0.276923
| 0.369231
| 0.296703
| 0
| 0
| 0
| 0
| 0
| 0
| 0.068143
| 0.303677
| 843
| 26
| 83
| 32.423077
| 0.706985
| 0.053381
| 0
| 0
| 1
| 0
| 0.091709
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.05
| 0
| 0.2
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
fca5589b5b38cb6a5ee7907622c07015a84392d7
| 122
|
py
|
Python
|
2. Backend/2.2. Django/django-mysql-integration-with-custom-validation-and-errors/my_app/admin.py
|
noreply-developers-pdm/Codesnipp
|
126f39b24e5f3b39862c38cd55c946ce5f9f9af8
|
[
"MIT"
] | 1
|
2018-12-25T21:10:02.000Z
|
2018-12-25T21:10:02.000Z
|
2. Backend/2.2. Django/django-mysql-integration-with-custom-validation-and-errors/my_app/admin.py
|
noreply-developers-pdm/Codesnipp
|
126f39b24e5f3b39862c38cd55c946ce5f9f9af8
|
[
"MIT"
] | 2
|
2019-10-01T16:07:46.000Z
|
2019-10-01T16:07:47.000Z
|
2. Backend/2.2. Django/django-mysql-integration-with-custom-validation-and-errors/my_app/admin.py
|
noreply-developers-pdm/Codesnipp
|
126f39b24e5f3b39862c38cd55c946ce5f9f9af8
|
[
"MIT"
] | 4
|
2020-09-01T02:22:44.000Z
|
2020-10-07T12:14:58.000Z
|
from django.contrib import admin
from .models import InfoModel
# Register your models here.
admin.site.register(InfoModel)
| 30.5
| 32
| 0.827869
| 17
| 122
| 5.941176
| 0.647059
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.106557
| 122
| 4
| 33
| 30.5
| 0.926606
| 0.213115
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
5d7e5aac4a6856a85625b8a64480cac6299c5dab
| 313
|
py
|
Python
|
updater/reports/repository/ReportRepository.py
|
steffen/hubble
|
eff5fcacfa8b4776b0a198eb324dd6df65df83e6
|
[
"MIT"
] | null | null | null |
updater/reports/repository/ReportRepository.py
|
steffen/hubble
|
eff5fcacfa8b4776b0a198eb324dd6df65df83e6
|
[
"MIT"
] | null | null | null |
updater/reports/repository/ReportRepository.py
|
steffen/hubble
|
eff5fcacfa8b4776b0a198eb324dd6df65df83e6
|
[
"MIT"
] | null | null | null |
from ..Report import *
# Abstract base class for all repository reports
class ReportRepository(Report):
def metaName(self):
return self.repository + "/" + self.name()
def fileName(self):
return os.path.join(self.dataDirectory, "repository", self.repositoryOwner, self.repositoryName, self.name() + ".tsv")
| 34.777778
| 120
| 0.741214
| 38
| 313
| 6.105263
| 0.631579
| 0.086207
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.124601
| 313
| 9
| 120
| 34.777778
| 0.846715
| 0.146965
| 0
| 0
| 0
| 0
| 0.056391
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.166667
| 0.333333
| 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
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
5dc55546919e7a44a4e49ea26a4b32c227b2dc28
| 173
|
py
|
Python
|
Python/fizz-buzz.py
|
kuanhungchen/leetcode-practice
|
b75e773ada60b685da1576ae5f2234b70bc27842
|
[
"CNRI-Python"
] | 1
|
2020-04-29T06:19:44.000Z
|
2020-04-29T06:19:44.000Z
|
Python/fizz-buzz.py
|
kuanhungchen/leetcode-practice
|
b75e773ada60b685da1576ae5f2234b70bc27842
|
[
"CNRI-Python"
] | null | null | null |
Python/fizz-buzz.py
|
kuanhungchen/leetcode-practice
|
b75e773ada60b685da1576ae5f2234b70bc27842
|
[
"CNRI-Python"
] | null | null | null |
class Solution:
def fizzBuzz(self, n):
return ["FizzBuzz" if i % 15 == 0 else "Fizz" if i % 3 == 0 else "Buzz" if i % 5 == 0 else str(i) for i in range(1, n+1)]
| 43.25
| 129
| 0.560694
| 34
| 173
| 2.852941
| 0.617647
| 0.092784
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.072
| 0.277457
| 173
| 3
| 130
| 57.666667
| 0.704
| 0
| 0
| 0
| 0
| 0
| 0.092486
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0.333333
| 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
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
5dc7e9c11c71b6bafd6a35afdfaf4728bcc51ae5
| 5,577
|
py
|
Python
|
exot/channel/covertchannels.py
|
ETHZ-TEC/exot_eengine
|
7b7ce6cb949e1b0a02e716b03f2f9af751713b29
|
[
"BSD-3-Clause"
] | null | null | null |
exot/channel/covertchannels.py
|
ETHZ-TEC/exot_eengine
|
7b7ce6cb949e1b0a02e716b03f2f9af751713b29
|
[
"BSD-3-Clause"
] | null | null | null |
exot/channel/covertchannels.py
|
ETHZ-TEC/exot_eengine
|
7b7ce6cb949e1b0a02e716b03f2f9af751713b29
|
[
"BSD-3-Clause"
] | null | null | null |
# Copyright (c) 2015-2020, Swiss Federal Institute of Technology (ETH Zurich)
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice, this
# list of conditions and the following disclaimer.
#
# * Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
#
# * Neither the name of the copyright holder nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#
"""Definition of all covert channels that can be analysed with ExOT out-of-the-box."""
import abc
import importlib
import typing as t
import numpy as np
from numpy import inf
from ._base import Channel
from .mixins.covertchannel import CapacityContinuous, PerformanceSweep
if importlib.util.find_spec("tensorflow") is not None:
import tensorflow as tf
tfversion = tf.__version__.split(".")
if tfversion[0] == 1 and tfversion[1] == 2:
from .evaluate import RNNdecoderEval
from .train import RNNdecoderTrain
class CovertChannel(Channel):
@property
@abc.abstractmethod
def signal(self) -> t.Mapping:
pass
@property
def max_num_symbols(self) -> int:
return len([k for k in self.signal if isinstance(k, int)])
@property
@abc.abstractmethod
def fixed_length_symbols(self) -> bool:
pass
@property
def symbols(self) -> t.List:
return list(self.signal.keys())
def __repr__(self) -> str:
return (
f"<{self.__module__}.{self.__class__.__name__} at {hex(id(self))} "
f"signal={self.signal}, fixed={self.fixed_length_symbols}>"
)
"""
Cache Covert Channels
----------
"""
class CacheCC(CovertChannel, PerformanceSweep):
@property
def signal(self) -> t.Mapping:
"""
0 -> Keep data in cache (low access time)
1 -> Remove data from cache (high access time)
"""
return {0: 0, 1: 1}
@property
def fixed_length_symbols(self) -> bool:
return True
@property
def fixed_length_symbols(self) -> bool:
return True
@property
def analyses_classes(self):
return {} # At this point, no analyses are implemented
# The classes below allow the user to differentiate more between different chache channel types.
class FlushFlushCC(CacheCC):
pass
class FlushReloadCC(CacheCC):
pass
class FlushPrefetchCC(CacheCC):
pass
"""
Frequency Covert Channels
----------
"""
class FrequencyCC(CovertChannel):
pass
class ConservativeGovernorCC(FrequencyCC):
@property
def signal(self) -> t.Mapping:
"""
-X -> Decrease frequency by X levels (if possible)
X -> Increase frequency by X levels (if possible)
"""
return {
0: [1, -1],
1: [-1, 1],
"preamble": [5, -1],
"postamble": [1, -5],
inf: [inf, inf],
}
@property
def fixed_length_symbols(self) -> bool:
return False
@property
def analyses_classes(self):
if importlib.util.find_spec("tensorflow") is not None:
return {"RNNdecoderTrain": RNNdecoderTrain, "RNNdecoderEval": RNNdecoderEval}
else:
return {}
"""
Power Cache Covert Channels
----------
TODO
"""
class PowerCC(CovertChannel, CapacityContinuous, PerformanceSweep):
@property
def inputs(self) -> np.array:
"""
0 -> Do not utilise core (cool down)
n -> Utilise n cores
"""
return np.arange(999)
@property
def signal(self) -> t.Mapping:
"""
0 -> Do not utilise core (low power consumption)
1 -> Utilise core (high power consumption)
"""
return {0: 0, 1: 1}
@property
def fixed_length_symbols(self) -> bool:
return True
@property
def analyses_classes(self):
return {}
"""
Thermal Covert Channels
----------
TODO
"""
class ThermalCC(CovertChannel, PerformanceSweep):
@property
def inputs(self) -> np.array:
"""
0 -> Do not utilise core (cool down)
-1 -> Fully utilise all cores (heat up)
"""
return np.array([0, 1])
@property
def signal(self) -> t.Mapping:
return {0: [0, -1], 1: [-1, 0], "carrier": [1, 0]}
@property
def fixed_length_symbols(self) -> bool:
return True
@property
def analyses_classes(self):
return {}
| 25.819444
| 96
| 0.649632
| 682
| 5,577
| 5.249267
| 0.368035
| 0.052235
| 0.035196
| 0.035196
| 0.291899
| 0.256983
| 0.217039
| 0.200279
| 0.188268
| 0.164804
| 0
| 0.011985
| 0.251928
| 5,577
| 215
| 97
| 25.939535
| 0.846117
| 0.389815
| 0
| 0.565657
| 0
| 0
| 0.064048
| 0.032684
| 0
| 0
| 0
| 0.009302
| 0
| 1
| 0.20202
| false
| 0.060606
| 0.121212
| 0.121212
| 0.606061
| 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
|
5de24e04dbbbef7978da870bbb4db1ceea80cf8d
| 132
|
py
|
Python
|
main.py
|
tobiassernhede/MixxTape
|
e87c626e5a8503a0cbf6ac478b88b49a3053ea40
|
[
"MIT"
] | null | null | null |
main.py
|
tobiassernhede/MixxTape
|
e87c626e5a8503a0cbf6ac478b88b49a3053ea40
|
[
"MIT"
] | null | null | null |
main.py
|
tobiassernhede/MixxTape
|
e87c626e5a8503a0cbf6ac478b88b49a3053ea40
|
[
"MIT"
] | null | null | null |
from lib import setup # import the setup.py in lib
if __name__ == '__main__':
setup.runServer() # if is mainfile run the server
| 33
| 53
| 0.719697
| 21
| 132
| 4.142857
| 0.714286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.19697
| 132
| 4
| 53
| 33
| 0.820755
| 0.424242
| 0
| 0
| 0
| 0
| 0.108108
| 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
|
b90a217df4cc62da936ddef4f956def17a71d5b8
| 146
|
py
|
Python
|
cardflip/card/forms.py
|
themillennialkingdom/framework
|
7d25702f6a69fdcc3dd384599b3495bdb0418477
|
[
"MIT"
] | null | null | null |
cardflip/card/forms.py
|
themillennialkingdom/framework
|
7d25702f6a69fdcc3dd384599b3495bdb0418477
|
[
"MIT"
] | null | null | null |
cardflip/card/forms.py
|
themillennialkingdom/framework
|
7d25702f6a69fdcc3dd384599b3495bdb0418477
|
[
"MIT"
] | 1
|
2019-10-22T15:04:38.000Z
|
2019-10-22T15:04:38.000Z
|
from django import forms
from .models import User
class Signup_form(forms.ModelForm):
class Meta:
model=User
fields='__all__'
| 20.857143
| 35
| 0.69863
| 19
| 146
| 5.105263
| 0.736842
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.232877
| 146
| 7
| 36
| 20.857143
| 0.866071
| 0
| 0
| 0
| 0
| 0
| 0.047619
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
b911137f8cf4ba6598e87be12e94a4ebe3e76e7e
| 92
|
py
|
Python
|
webapp/naccbisapp/apps.py
|
troymoench/naccbis
|
87fd79a79e9ae189236781fa4682811c1da6480f
|
[
"MIT"
] | 1
|
2019-02-28T18:46:40.000Z
|
2019-02-28T18:46:40.000Z
|
webapp/naccbisapp/apps.py
|
troymoench/naccbis
|
87fd79a79e9ae189236781fa4682811c1da6480f
|
[
"MIT"
] | 19
|
2018-04-17T04:47:40.000Z
|
2022-02-10T10:40:07.000Z
|
webapp/naccbisapp/apps.py
|
troymoench/naccbis
|
87fd79a79e9ae189236781fa4682811c1da6480f
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class NaccbisConfig(AppConfig):
name = 'naccbisapp'
| 15.333333
| 33
| 0.76087
| 10
| 92
| 7
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.163043
| 92
| 5
| 34
| 18.4
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0.108696
| 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
|
f8dc48daaa59b3d3be347f4b8f11220153088839
| 627
|
py
|
Python
|
courses/backend/django-for-everybody/Web Application Technologies and Django/resources/dj4e-samples/crispy/forms.py
|
Nahid-Hassan/fullstack-software-development
|
892ffb33e46795061ea63378279a6469de317b1a
|
[
"CC0-1.0"
] | 297
|
2019-01-25T08:44:08.000Z
|
2022-03-29T18:46:08.000Z
|
courses/backend/django-for-everybody/Web Application Technologies and Django/resources/dj4e-samples/crispy/forms.py
|
Nahid-Hassan/fullstack-software-development
|
892ffb33e46795061ea63378279a6469de317b1a
|
[
"CC0-1.0"
] | 22
|
2019-05-06T14:21:04.000Z
|
2022-02-21T10:05:25.000Z
|
courses/backend/django-for-everybody/Web Application Technologies and Django/resources/dj4e-samples/crispy/forms.py
|
Nahid-Hassan/fullstack-software-development
|
892ffb33e46795061ea63378279a6469de317b1a
|
[
"CC0-1.0"
] | 412
|
2019-02-12T20:44:43.000Z
|
2022-03-30T04:23:25.000Z
|
from django import forms
from django.core.exceptions import ValidationError
from django.core import validators
class BasicForm(forms.Form):
title = forms.CharField(validators=[
validators.MinLengthValidator(2, "Please enter 2 or more characters")
])
mileage = forms.IntegerField()
purchase_date = forms.DateField()
# References
# https://docs.djangoproject.com/en/3.0/ref/forms/api/
# https://docs.djangoproject.com/en/3.0/ref/forms/fields/#datefield
# https://docs.djangoproject.com/en/3.0/ref/forms/validation/#using-validation-in-practice
# https://docs.djangoproject.com/en/3.0/ref/validators/
| 33
| 90
| 0.752791
| 84
| 627
| 5.607143
| 0.47619
| 0.076433
| 0.186837
| 0.212314
| 0.303609
| 0.303609
| 0.303609
| 0.303609
| 0.235669
| 0
| 0
| 0.017953
| 0.111643
| 627
| 18
| 91
| 34.833333
| 0.827648
| 0.432217
| 0
| 0
| 0
| 0
| 0.095101
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.777778
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
f8fccc4f7c7526a5302f464393c5bcadc01e6c82
| 83
|
py
|
Python
|
shet/apps.py
|
SurajPatidar201198/Assignment-2
|
628d0774419ced312cf2b79d3de883fa48774a9c
|
[
"MIT"
] | null | null | null |
shet/apps.py
|
SurajPatidar201198/Assignment-2
|
628d0774419ced312cf2b79d3de883fa48774a9c
|
[
"MIT"
] | null | null | null |
shet/apps.py
|
SurajPatidar201198/Assignment-2
|
628d0774419ced312cf2b79d3de883fa48774a9c
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class ShetConfig(AppConfig):
name = 'shet'
| 13.833333
| 33
| 0.73494
| 10
| 83
| 6.1
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.180723
| 83
| 5
| 34
| 16.6
| 0.897059
| 0
| 0
| 0
| 0
| 0
| 0.048193
| 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
|
5d0716217c00bd34e0efbbc174e31d7552bee275
| 50
|
py
|
Python
|
signals.py
|
BontaVlad/jira-cli
|
263473400e6b1842af531002d23af1ed4b56bfba
|
[
"MIT"
] | null | null | null |
signals.py
|
BontaVlad/jira-cli
|
263473400e6b1842af531002d23af1ed4b56bfba
|
[
"MIT"
] | null | null | null |
signals.py
|
BontaVlad/jira-cli
|
263473400e6b1842af531002d23af1ed4b56bfba
|
[
"MIT"
] | null | null | null |
from blinker import signal
echo = signal('echo')
| 12.5
| 26
| 0.74
| 7
| 50
| 5.285714
| 0.714286
| 0.540541
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.16
| 50
| 3
| 27
| 16.666667
| 0.880952
| 0
| 0
| 0
| 0
| 0
| 0.08
| 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
|
5d0f4cf01f04f55b63f3ad5fed7904b4ef89a735
| 1,268
|
py
|
Python
|
pymitblod/institution.py
|
slimcdk/pymitblod
|
8bae9401abec73e53a0687a5429b215722076b39
|
[
"Apache-2.0"
] | null | null | null |
pymitblod/institution.py
|
slimcdk/pymitblod
|
8bae9401abec73e53a0687a5429b215722076b39
|
[
"Apache-2.0"
] | null | null | null |
pymitblod/institution.py
|
slimcdk/pymitblod
|
8bae9401abec73e53a0687a5429b215722076b39
|
[
"Apache-2.0"
] | null | null | null |
'''
All model classes for pymitblod
'''
from .url import Url
class Institution():
'''
Class representing an institution.
'''
def __init__(
self,
id:int,
name:str,
domain:Url,
login_form:dict=None
):
self._domain = domain
self._id = id
self._name = name
self._login_form = login_form
def __repr__(self) -> str:
return str(self._name)
def domain(self) -> Url:
return self._domain
def auth_path(self) -> str:
return self._domain.join_path("auth").join_path("login")
def homepage_path(self) -> str:
return self._domain.join_path("startpage")
def upcoming_booking_path(self) -> str:
return self._domain.join_path("booking").join_path("get-coming-appointments")
def donations_history_path(self) -> str:
return self._domain.join_path("tableData").join_path("Donations")
def messages_history_path(self) -> str:
return self._domain.join_path("tableData").join_path("DonorMessages")
def __login_form__(self, identification, password) -> dict:
if self._login_form: return self._login_form
return {'id':identification, 'password':password}
| 23.054545
| 85
| 0.620662
| 149
| 1,268
| 4.959732
| 0.295302
| 0.097429
| 0.105548
| 0.11502
| 0.301759
| 0.301759
| 0.301759
| 0.301759
| 0.159675
| 0.159675
| 0
| 0
| 0.263407
| 1,268
| 55
| 86
| 23.054545
| 0.791221
| 0.05205
| 0
| 0
| 0
| 0
| 0.083051
| 0.019492
| 0
| 0
| 0
| 0
| 0
| 1
| 0.3
| false
| 0.066667
| 0.033333
| 0.233333
| 0.633333
| 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
|
5d28b79b30c42f5bafe9bf5a3b38e50fa013b6b5
| 1,016
|
py
|
Python
|
telemetry/telemetry/internal/platform/tracing_agent/chrome_report_events_tracing_agent.py
|
BearerPipelineTest/catapult
|
3800a67cd916200046a50748893bbd0dcf3d7f4a
|
[
"BSD-3-Clause"
] | null | null | null |
telemetry/telemetry/internal/platform/tracing_agent/chrome_report_events_tracing_agent.py
|
BearerPipelineTest/catapult
|
3800a67cd916200046a50748893bbd0dcf3d7f4a
|
[
"BSD-3-Clause"
] | null | null | null |
telemetry/telemetry/internal/platform/tracing_agent/chrome_report_events_tracing_agent.py
|
BearerPipelineTest/catapult
|
3800a67cd916200046a50748893bbd0dcf3d7f4a
|
[
"BSD-3-Clause"
] | null | null | null |
# Copyright 2020 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
from __future__ import absolute_import
from telemetry.internal.platform.tracing_agent import chrome_tracing_agent
# A class that uses ReportEvents mode for chrome tracing.
class ChromeReportEventsTracingAgent(chrome_tracing_agent.ChromeTracingAgent):
@classmethod
def IsSupported(cls, platform_backend):
# TODO(crbug.com/1279968): Workaround to enable streaming for some fuchsia
# platforms while progress is made on others.
return (platform_backend.GetOSName() == 'fuchsia' and
platform_backend.GetDeviceTypeName() in
chrome_tracing_agent.NON_STREAM_FUCHSIA_BOARDS)
def _GetTransferMode(self):
return 'ReportEvents'
def _StartStartupTracing(self, config):
del config
# Fuchsia doesn't support starting tracing with a config file
return False
def _RemoveTraceConfigFile(self):
pass
| 35.034483
| 78
| 0.772638
| 126
| 1,016
| 6.063492
| 0.666667
| 0.062827
| 0.070681
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.01308
| 0.172244
| 1,016
| 28
| 79
| 36.285714
| 0.895363
| 0.38189
| 0
| 0
| 0
| 0
| 0.030645
| 0
| 0
| 0
| 0
| 0.035714
| 0
| 1
| 0.266667
| false
| 0.066667
| 0.133333
| 0.133333
| 0.666667
| 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
| 1
| 0
| 0
|
0
| 4
|
5d297340cfadfeecc22a429a2495b60ce37bdc0a
| 159
|
py
|
Python
|
cm/html/attachment/__init__.py
|
likwoka/ak
|
e6ac14e202e5a0d8f1b57e3e1a5c5a1ed9ecc14b
|
[
"Apache-2.0"
] | null | null | null |
cm/html/attachment/__init__.py
|
likwoka/ak
|
e6ac14e202e5a0d8f1b57e3e1a5c5a1ed9ecc14b
|
[
"Apache-2.0"
] | null | null | null |
cm/html/attachment/__init__.py
|
likwoka/ak
|
e6ac14e202e5a0d8f1b57e3e1a5c5a1ed9ecc14b
|
[
"Apache-2.0"
] | null | null | null |
from cm.html.attachment.index import browse, _q_index, \
download, upload, _q_lookup, attach_to
_q_exports = ['browse', 'download', 'upload', 'attach_to']
| 19.875
| 58
| 0.72956
| 22
| 159
| 4.909091
| 0.636364
| 0.259259
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125786
| 159
| 7
| 59
| 22.714286
| 0.776978
| 0
| 0
| 0
| 0
| 0
| 0.185897
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
5d369dcd0785c398e2d42af0494afc3ae8273d15
| 103
|
py
|
Python
|
simplemfa/admin.py
|
mwhawkins/django-simple-mfa
|
58b5188473a776f5fcebda9843e2147123dce59f
|
[
"MIT"
] | 3
|
2020-07-17T09:14:09.000Z
|
2020-12-15T09:26:56.000Z
|
simplemfa/admin.py
|
mwhawkins/django-simple-mfa
|
58b5188473a776f5fcebda9843e2147123dce59f
|
[
"MIT"
] | 1
|
2020-11-25T10:41:02.000Z
|
2020-11-25T10:41:02.000Z
|
simplemfa/admin.py
|
mwhawkins/django-simple-mfa
|
58b5188473a776f5fcebda9843e2147123dce59f
|
[
"MIT"
] | 2
|
2020-11-25T10:47:20.000Z
|
2021-11-04T15:41:21.000Z
|
from django.contrib import admin
from simplemfa.models import AuthCode
admin.site.register(AuthCode)
| 17.166667
| 37
| 0.834951
| 14
| 103
| 6.142857
| 0.714286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.106796
| 103
| 5
| 38
| 20.6
| 0.934783
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
5d36cb216c3680d2a0444496897bbd952d449285
| 601
|
py
|
Python
|
test/unit/v0/deps.py
|
KernelErr/b2-sdk-python
|
5310ebdf29f073895f34ffe58893fc50ebdd8c83
|
[
"MIT"
] | 128
|
2019-02-02T17:53:23.000Z
|
2022-03-28T09:28:35.000Z
|
test/unit/v0/deps.py
|
KernelErr/b2-sdk-python
|
5310ebdf29f073895f34ffe58893fc50ebdd8c83
|
[
"MIT"
] | 168
|
2019-02-26T22:14:16.000Z
|
2022-03-27T06:25:28.000Z
|
test/unit/v0/deps.py
|
KernelErr/b2-sdk-python
|
5310ebdf29f073895f34ffe58893fc50ebdd8c83
|
[
"MIT"
] | 52
|
2019-01-28T16:40:56.000Z
|
2022-03-14T19:55:05.000Z
|
######################################################################
#
# File: test/unit/v0/deps.py
#
# Copyright 2019 Backblaze Inc. All Rights Reserved.
#
# License https://www.backblaze.com/using_b2_code.html
#
######################################################################
# TODO: This module is used in old-style unit tests, written separately for v0 and v1.
# It will be removed when all test are rewritten for the new style, like e.g. test/unit/sync/.
# configured by pytest using `--api` option
# check test/unit/conftest.py:pytest_configure for details
from apiver_deps import *
| 35.352941
| 95
| 0.572379
| 76
| 601
| 4.473684
| 0.789474
| 0.070588
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.015123
| 0.1198
| 601
| 16
| 96
| 37.5625
| 0.627599
| 0.678869
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.0625
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
5d3e64ead213de4d83cf483a3eff27875f5f549b
| 2,473
|
py
|
Python
|
tensorflow_probability/python/__init__.py
|
bolcom/probability
|
4a11efad1ecd8a1336e4c9fdb0105efbf2375ad7
|
[
"Apache-2.0"
] | 1
|
2019-10-10T06:15:42.000Z
|
2019-10-10T06:15:42.000Z
|
tensorflow_probability/python/__init__.py
|
bolcom/probability
|
4a11efad1ecd8a1336e4c9fdb0105efbf2375ad7
|
[
"Apache-2.0"
] | null | null | null |
tensorflow_probability/python/__init__.py
|
bolcom/probability
|
4a11efad1ecd8a1336e4c9fdb0105efbf2375ad7
|
[
"Apache-2.0"
] | 1
|
2019-10-10T06:15:44.000Z
|
2019-10-10T06:15:44.000Z
|
# Copyright 2018 The TensorFlow Probability Authors.
#
# 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.
# ============================================================================
"""Tools for probabilistic reasoning in TensorFlow."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow_probability.python import bijectors
from tensorflow_probability.python import debugging
from tensorflow_probability.python import distributions
from tensorflow_probability.python import experimental
from tensorflow_probability.python import glm
from tensorflow_probability.python import layers
from tensorflow_probability.python import math
from tensorflow_probability.python import mcmc
from tensorflow_probability.python import monte_carlo
from tensorflow_probability.python import optimizer
from tensorflow_probability.python import stats
from tensorflow_probability.python import sts
from tensorflow_probability.python import trainable_distributions
from tensorflow_probability.python import util
from tensorflow_probability.python import vi
from tensorflow.python.util import lazy_loader # pylint: disable=g-direct-tensorflow-import
from tensorflow.python.util.all_util import remove_undocumented # pylint: disable=g-direct-tensorflow-import
edward2 = lazy_loader.LazyLoader('edward2', globals(),
'tensorflow_probability.python.edward2')
positive_semidefinite_kernels = lazy_loader.LazyLoader(
'positive_semidefinite_kernels', globals(),
'tensorflow_probability.python.positive_semidefinite_kernels')
_allowed_symbols = [
'bijectors',
'debugging',
'distributions',
'edward2',
'experimental',
'glm',
'layers',
'math',
'mcmc',
'monte_carlo',
'optimizer',
'positive_semidefinite_kernels',
'trainable_distributions',
'stats',
'sts',
'util',
'vi',
]
remove_undocumented(__name__, _allowed_symbols)
| 36.910448
| 109
| 0.763445
| 286
| 2,473
| 6.402098
| 0.381119
| 0.206445
| 0.250683
| 0.25396
| 0.356636
| 0.093938
| 0
| 0
| 0
| 0
| 0
| 0.005642
| 0.139911
| 2,473
| 66
| 110
| 37.469697
| 0.855195
| 0.317428
| 0
| 0
| 0
| 0
| 0.170966
| 0.106179
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.444444
| 0
| 0.444444
| 0.022222
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
5d5abaf28a41e21ff0840bc3deec07e68068d370
| 63
|
py
|
Python
|
.history/postImages/index_20201005142229.py
|
Lambda-School-Labs/Labs27-C-Bridges-To-Prosperity-BE
|
9a8289d8550115362c46dea3ed8570b789c09a10
|
[
"MIT"
] | 2
|
2020-10-21T22:14:15.000Z
|
2020-10-21T22:14:16.000Z
|
.history/postImages/index_20201005142229.py
|
Lambda-School-Labs/Labs27-C-Bridges-To-Prosperity-BE
|
9a8289d8550115362c46dea3ed8570b789c09a10
|
[
"MIT"
] | null | null | null |
.history/postImages/index_20201005142229.py
|
Lambda-School-Labs/Labs27-C-Bridges-To-Prosperity-BE
|
9a8289d8550115362c46dea3ed8570b789c09a10
|
[
"MIT"
] | null | null | null |
import pandas as pd
df = pd.read_excel("bridgeData2.xlsx")
\
| 12.6
| 38
| 0.714286
| 10
| 63
| 4.4
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.018868
| 0.15873
| 63
| 5
| 39
| 12.6
| 0.811321
| 0
| 0
| 0
| 0
| 0
| 0.25
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.333333
| null | null | 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
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
5d5c64188639376bb08391268139af88ec2ee44a
| 706
|
py
|
Python
|
docs/user_guide/operation/scripts/examples/argus/post_equilibration/jan/PumpMicrobone.py
|
ASUPychron/pychron
|
dfe551bdeb4ff8b8ba5cdea0edab336025e8cc76
|
[
"Apache-2.0"
] | 31
|
2016-03-07T02:38:17.000Z
|
2022-02-14T18:23:43.000Z
|
docs/user_guide/operation/scripts/examples/argus/post_equilibration/jan/PumpMicrobone.py
|
ASUPychron/pychron
|
dfe551bdeb4ff8b8ba5cdea0edab336025e8cc76
|
[
"Apache-2.0"
] | 1,626
|
2015-01-07T04:52:35.000Z
|
2022-03-25T19:15:59.000Z
|
docs/user_guide/operation/scripts/examples/argus/post_equilibration/jan/PumpMicrobone.py
|
UIllinoisHALPychron/pychron
|
f21b79f4592a9fb9dc9a4cb2e4e943a3885ededc
|
[
"Apache-2.0"
] | 26
|
2015-05-23T00:10:06.000Z
|
2022-03-07T16:51:57.000Z
|
'''
'''
def main():
info('Pump Microbone')
close(description="Jan Inlet")
if is_closed('F'):
open(description= 'Microbone to CO2 Laser')
else:
close(name="T", description="Microbone to CO2 Laser")
sleep(1)
close(description= 'CO2 Laser to Roughing')
#close(description= 'Microbone to Minibone')
open(description= 'Microbone to Turbo')
open(description= 'Microbone to Getter NP-10H')
open(description= 'Microbone to Getter NP-10C')
#open(description= 'Microbone to CO2 Laser')
open(description= 'Microbone to Inlet Pipette')
sleep(1)
set_resource(name='CO2PumpTimeFlag', value=30)
release('JanCO2Flag')
| 30.695652
| 61
| 0.63881
| 82
| 706
| 5.47561
| 0.45122
| 0.356347
| 0.391982
| 0.347439
| 0.36971
| 0.302895
| 0
| 0
| 0
| 0
| 0
| 0.025783
| 0.230878
| 706
| 23
| 62
| 30.695652
| 0.801105
| 0.126062
| 0
| 0.125
| 0
| 0
| 0.34647
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.0625
| true
| 0
| 0
| 0
| 0.0625
| 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
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
538642e57be9fbd568f1bb61a054a68216db8c72
| 1,245
|
py
|
Python
|
PyOpenGL-3.0.2/OpenGL/raw/GL/ARB/clear_buffer_object.py
|
frederica07/Dragon_Programming_Process
|
c0dff2e20c1be6db5adc6f9977efae8f7f888ef5
|
[
"BSD-2-Clause"
] | null | null | null |
PyOpenGL-3.0.2/OpenGL/raw/GL/ARB/clear_buffer_object.py
|
frederica07/Dragon_Programming_Process
|
c0dff2e20c1be6db5adc6f9977efae8f7f888ef5
|
[
"BSD-2-Clause"
] | null | null | null |
PyOpenGL-3.0.2/OpenGL/raw/GL/ARB/clear_buffer_object.py
|
frederica07/Dragon_Programming_Process
|
c0dff2e20c1be6db5adc6f9977efae8f7f888ef5
|
[
"BSD-2-Clause"
] | null | null | null |
'''Autogenerated by get_gl_extensions script, do not edit!'''
from OpenGL import platform as _p, constants as _cs, arrays
from OpenGL.GL import glget
import ctypes
EXTENSION_NAME = 'GL_ARB_clear_buffer_object'
def _f( function ):
return _p.createFunction( function,_p.GL,'GL_ARB_clear_buffer_object',False)
@_f
@_p.types(None,_cs.GLenum,_cs.GLenum,_cs.GLenum,_cs.GLenum,ctypes.POINTER(_cs.void))
def glClearBufferData( target,internalformat,format,type,data ):pass
@_f
@_p.types(None,_cs.GLenum,_cs.GLenum,_cs.GLintptr,_cs.GLsizeiptr,_cs.GLenum,_cs.GLenum,ctypes.POINTER(_cs.void))
def glClearBufferSubData( target,internalformat,offset,size,format,type,data ):pass
@_f
@_p.types(None,_cs.GLuint,_cs.GLenum,_cs.GLenum,_cs.GLenum,ctypes.POINTER(_cs.void))
def glClearNamedBufferDataEXT( buffer,internalformat,format,type,data ):pass
@_f
@_p.types(None,_cs.GLuint,_cs.GLenum,_cs.GLenum,_cs.GLenum,_cs.GLsizeiptr,_cs.GLsizeiptr,ctypes.POINTER(_cs.void))
def glClearNamedBufferSubDataEXT( buffer,internalformat,format,type,offset,size,data ):pass
def glInitClearBufferObjectARB():
'''Return boolean indicating whether this extension is available'''
from OpenGL import extensions
return extensions.hasGLExtension( EXTENSION_NAME )
| 46.111111
| 114
| 0.804016
| 175
| 1,245
| 5.44
| 0.342857
| 0.117647
| 0.115546
| 0.151261
| 0.409664
| 0.340336
| 0.340336
| 0.338235
| 0.338235
| 0.261555
| 0
| 0
| 0.075502
| 1,245
| 26
| 115
| 47.884615
| 0.827107
| 0.093976
| 0
| 0.190476
| 1
| 0
| 0.046553
| 0.046553
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| false
| 0.190476
| 0.190476
| 0.047619
| 0.571429
| 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
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
539d9252ef49499068ac188b1f90466bf0595b40
| 863
|
py
|
Python
|
eth_utils/functional.py
|
TokenMarketNet/ethereum-utils
|
d58ff2d7151b80b41ef0b79bfe2c780b186f024c
|
[
"MIT"
] | 1
|
2018-02-09T01:30:27.000Z
|
2018-02-09T01:30:27.000Z
|
eth_utils/functional.py
|
TokenMarketNet/ethereum-utils
|
d58ff2d7151b80b41ef0b79bfe2c780b186f024c
|
[
"MIT"
] | null | null | null |
eth_utils/functional.py
|
TokenMarketNet/ethereum-utils
|
d58ff2d7151b80b41ef0b79bfe2c780b186f024c
|
[
"MIT"
] | 2
|
2017-06-13T15:17:09.000Z
|
2021-06-17T11:09:32.000Z
|
import functools
import itertools
import collections
def identity(value):
return value
def combine(f, g):
return lambda x: f(g(x))
def compose(*functions):
return functools.reduce(combine, reversed(functions), identity)
def apply_to_return_value(callback):
def outer(fn):
@functools.wraps(fn)
def inner(*args, **kwargs):
return callback(fn(*args, **kwargs))
return inner
return outer
to_tuple = apply_to_return_value(tuple)
to_list = apply_to_return_value(list)
to_dict = apply_to_return_value(dict)
to_ordered_dict = apply_to_return_value(collections.OrderedDict)
sort_return = compose(apply_to_return_value(sorted), to_tuple)
flatten_return = compose(apply_to_return_value(itertools.chain.from_iterable), to_tuple)
reversed_return = compose(to_tuple, apply_to_return_value(reversed), to_tuple)
| 24.657143
| 88
| 0.754345
| 121
| 863
| 5.07438
| 0.305785
| 0.161238
| 0.169381
| 0.234528
| 0.254072
| 0.18241
| 0
| 0
| 0
| 0
| 0
| 0
| 0.150637
| 863
| 34
| 89
| 25.382353
| 0.837653
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.26087
| false
| 0
| 0.130435
| 0.173913
| 0.652174
| 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
|
53bede9bc9da4dee03a1936c07d3bdedacb1192e
| 145
|
py
|
Python
|
app_polls/graphql/__types.py
|
Audiotuete/backend_wagtail_api
|
3c5a4a610ffdbb75d45a57fc670e2ae3b7178c62
|
[
"MIT"
] | null | null | null |
app_polls/graphql/__types.py
|
Audiotuete/backend_wagtail_api
|
3c5a4a610ffdbb75d45a57fc670e2ae3b7178c62
|
[
"MIT"
] | null | null | null |
app_polls/graphql/__types.py
|
Audiotuete/backend_wagtail_api
|
3c5a4a610ffdbb75d45a57fc670e2ae3b7178c62
|
[
"MIT"
] | null | null | null |
from graphene_django import DjangoObjectType
#Models
from ..models import Poll
class PollType(DjangoObjectType):
class Meta:
model = Poll
| 18.125
| 44
| 0.786207
| 17
| 145
| 6.647059
| 0.647059
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.158621
| 145
| 8
| 45
| 18.125
| 0.92623
| 0.041379
| 0
| 0
| 0
| 0
| 0
| 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
|
53e124cc2df21f290360a84d40875219de4b6ac1
| 215
|
py
|
Python
|
joint_teapot/__main__.py
|
BoYanZh/joint-teapot
|
9eefd8bc01024a2dd74df10295c5b4411aad0645
|
[
"MIT"
] | 2
|
2021-06-10T15:40:25.000Z
|
2021-06-12T14:24:28.000Z
|
joint_teapot/__main__.py
|
BoYanZh/joint-teapot
|
9eefd8bc01024a2dd74df10295c5b4411aad0645
|
[
"MIT"
] | null | null | null |
joint_teapot/__main__.py
|
BoYanZh/joint-teapot
|
9eefd8bc01024a2dd74df10295c5b4411aad0645
|
[
"MIT"
] | 2
|
2021-09-15T16:09:59.000Z
|
2021-09-15T16:11:32.000Z
|
from joint_teapot.app import app
from joint_teapot.utils.logger import logger as logger
if __name__ == "__main__":
try:
app()
except Exception:
logger.exception("Unexpected error:")
| 23.888889
| 55
| 0.669767
| 26
| 215
| 5.153846
| 0.615385
| 0.134328
| 0.223881
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.246512
| 215
| 8
| 56
| 26.875
| 0.82716
| 0
| 0
| 0
| 0
| 0
| 0.120773
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.285714
| 0
| 0.285714
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
54cbc24981d5a2d2130c8388e8a1a941fcac1878
| 233
|
py
|
Python
|
podmena/parser.py
|
bmwant/podmena
|
cb3a6f6e9a3882f0ff5c081f226d93607fbbd1c9
|
[
"Unlicense"
] | 50
|
2018-04-10T22:26:09.000Z
|
2021-12-02T16:14:24.000Z
|
podmena/parser.py
|
bmwant/podmena
|
cb3a6f6e9a3882f0ff5c081f226d93607fbbd1c9
|
[
"Unlicense"
] | 1
|
2018-04-11T15:37:36.000Z
|
2018-04-25T14:06:57.000Z
|
podmena/parser.py
|
bmwant/podmena
|
cb3a6f6e9a3882f0ff5c081f226d93607fbbd1c9
|
[
"Unlicense"
] | 3
|
2019-02-28T11:43:55.000Z
|
2019-11-26T14:07:03.000Z
|
import re
class RegexParser(object):
def __init__(self):
self.pattern = re.compile(
r'<span .+></span>:<span .+>([\w_]+)</span>:</div>')
def parse(self, text):
return self.pattern.findall(text)
| 21.181818
| 64
| 0.562232
| 28
| 233
| 4.5
| 0.642857
| 0.174603
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.240343
| 233
| 10
| 65
| 23.3
| 0.711864
| 0
| 0
| 0
| 0
| 0
| 0.206009
| 0.107296
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| false
| 0
| 0.142857
| 0.142857
| 0.714286
| 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
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
54f3689d553f827f8afa1e2b6fa3dbb0578a13c7
| 96
|
py
|
Python
|
src/gs_shipping/apps.py
|
pygaur/gsshop
|
87a25239ebd3d15f67057865b66d07d6857f6084
|
[
"Apache-2.0"
] | 2
|
2020-04-14T19:22:13.000Z
|
2020-08-18T17:08:33.000Z
|
src/gs_shipping/apps.py
|
pygaur/gsshop
|
87a25239ebd3d15f67057865b66d07d6857f6084
|
[
"Apache-2.0"
] | 8
|
2020-05-25T14:05:45.000Z
|
2022-03-12T00:46:30.000Z
|
src/gs_shipping/apps.py
|
pygaur/gsshop
|
87a25239ebd3d15f67057865b66d07d6857f6084
|
[
"Apache-2.0"
] | 1
|
2020-04-14T19:22:18.000Z
|
2020-04-14T19:22:18.000Z
|
from django.apps import AppConfig
class GsShippingConfig(AppConfig):
name = 'gs_shipping'
| 16
| 34
| 0.770833
| 11
| 96
| 6.636364
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.15625
| 96
| 5
| 35
| 19.2
| 0.901235
| 0
| 0
| 0
| 0
| 0
| 0.114583
| 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
|
07152a05d819e3daf7d6bdfd326e84d25e92ec54
| 117
|
py
|
Python
|
src/orders/tests/pay_signals/conftest.py
|
denkasyanov/education-backend
|
c796b6f2f1cc1cd09f83cab2ca0cc45344906ef5
|
[
"MIT"
] | 151
|
2020-04-21T09:58:57.000Z
|
2021-09-12T09:01:21.000Z
|
src/orders/tests/pay_signals/conftest.py
|
denkasyanov/education-backend
|
c796b6f2f1cc1cd09f83cab2ca0cc45344906ef5
|
[
"MIT"
] | 163
|
2020-05-29T20:52:00.000Z
|
2021-09-11T12:44:56.000Z
|
src/orders/tests/pay_signals/conftest.py
|
boochamoocha/education-backend
|
c6ffb0c00bc066c8f1e0a8c0ffe4d0215c7c416a
|
[
"MIT"
] | 39
|
2020-04-21T12:28:16.000Z
|
2021-09-12T15:33:47.000Z
|
import pytest
pytestmark = [pytest.mark.django_db]
@pytest.fixture
def order(factory):
return factory.order()
| 13
| 36
| 0.74359
| 15
| 117
| 5.733333
| 0.733333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.145299
| 117
| 8
| 37
| 14.625
| 0.86
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.2
| 0.2
| 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
| 0
| 1
| 1
| 0
|
0
| 4
|
072126377674f45929d30eddcc206e471edf8ac3
| 329
|
py
|
Python
|
Round 1B/fair-fight.test-generator.py
|
enigma-pattern/GoogleCodeJam-2019
|
558c57209a90319d31da13a58f8da60ca56d9f0a
|
[
"MIT"
] | 54
|
2019-04-07T06:19:19.000Z
|
2022-01-19T10:58:00.000Z
|
Round 1B/fair-fight.test-generator.py
|
Escapist-007/GoogleCodeJam-2019
|
bfa4f2a9585c710f3bbc176b9f8aa4d2ee0a4ce4
|
[
"MIT"
] | 1
|
2019-06-02T18:20:30.000Z
|
2019-06-02T18:40:32.000Z
|
Round 1B/fair-fight.test-generator.py
|
Escapist-007/GoogleCodeJam-2019
|
bfa4f2a9585c710f3bbc176b9f8aa4d2ee0a4ce4
|
[
"MIT"
] | 21
|
2019-04-10T04:32:03.000Z
|
2021-07-22T22:38:53.000Z
|
import random
B = 100000
N = 100000
T = 10
print T
for _ in xrange(T):
n = random.randint(1, N)
k = random.randint(0, B)
print n, k
C, D = [], []
for _ in xrange(n):
C.append(random.randint(0, B))
D.append(random.randint(0, B))
print " ".join(map(str, C))
print " ".join(map(str, D))
| 19.352941
| 38
| 0.541033
| 55
| 329
| 3.2
| 0.381818
| 0.295455
| 0.238636
| 0.255682
| 0.380682
| 0
| 0
| 0
| 0
| 0
| 0
| 0.076596
| 0.285714
| 329
| 16
| 39
| 20.5625
| 0.67234
| 0
| 0
| 0
| 0
| 0
| 0.006079
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.066667
| null | null | 0.266667
| 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
|
072942cb5db41747a65be7199756b5a27613ed0a
| 124
|
py
|
Python
|
code/models/__init__.py
|
hiyouga/Cuisine_Prediction
|
e23900e5b2b7f4143e1cdb3eab8a227ddd8baf61
|
[
"MIT"
] | 2
|
2021-12-31T04:24:04.000Z
|
2021-12-31T06:34:03.000Z
|
code/models/__init__.py
|
hiyouga/Cuisine_Prediction
|
e23900e5b2b7f4143e1cdb3eab8a227ddd8baf61
|
[
"MIT"
] | null | null | null |
code/models/__init__.py
|
hiyouga/Cuisine_Prediction
|
e23900e5b2b7f4143e1cdb3eab8a227ddd8baf61
|
[
"MIT"
] | null | null | null |
from .textcnn import textcnn
from .textrnn import textrnn
from .restext import restext
from .dualtextcnn import dualtextcnn
| 24.8
| 36
| 0.83871
| 16
| 124
| 6.5
| 0.375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.129032
| 124
| 4
| 37
| 31
| 0.962963
| 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
|
07556d9c7fe39d34c30315cb9099524522054463
| 15,422
|
py
|
Python
|
tests/ut/python/dataset/test_generator.py
|
TommyLike/mindspore
|
401dabb786a9097d6dd84f391657d266b04e9a37
|
[
"Apache-2.0"
] | 1
|
2020-05-23T07:08:46.000Z
|
2020-05-23T07:08:46.000Z
|
tests/ut/python/dataset/test_generator.py
|
liyong126/mindspore
|
930a1fb0a8fa9432025442c4f4732058bb7af592
|
[
"Apache-2.0"
] | 7
|
2020-03-30T08:31:56.000Z
|
2020-04-01T09:54:39.000Z
|
tests/ut/python/dataset/test_generator.py
|
liyong126/mindspore
|
930a1fb0a8fa9432025442c4f4732058bb7af592
|
[
"Apache-2.0"
] | 1
|
2020-03-30T17:07:43.000Z
|
2020-03-30T17:07:43.000Z
|
# Copyright 2019 Huawei Technologies Co., Ltd
#
# 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 numpy as np
import pytest
import mindspore.common.dtype as mstype
import mindspore.dataset as ds
from mindspore import log as logger
# Generate 1d int numpy array from 0 - 63
def generator_1d():
for i in range(64):
yield (np.array([i]),)
def test_case_0():
"""
Test 1D Generator
"""
logger.info("Test 1D Generator : 0 - 63")
# apply dataset operations
data1 = ds.GeneratorDataset(generator_1d, ["data"])
i = 0
for item in data1.create_dict_iterator(): # each data is a dictionary
golden = np.array([i])
assert np.array_equal(item["data"], golden)
i = i + 1
# Generate md int numpy array from [[0, 1], [2, 3]] to [[63, 64], [65, 66]]
def generator_md():
for i in range(64):
yield (np.array([[i, i + 1], [i + 2, i + 3]]),)
def test_case_1():
"""
Test MD Generator
"""
logger.info("Test MD Generator : 0 - 63, with shape [2, 2]")
# apply dataset operations
data1 = ds.GeneratorDataset(generator_md, ["data"])
i = 0
for item in data1.create_dict_iterator(): # each data is a dictionary
golden = np.array([[i, i + 1], [i + 2, i + 3]])
assert np.array_equal(item["data"], golden)
i = i + 1
# Generate two columns, the first column is from Generator1D, the second column is from GeneratorMD
def generator_mc(maxid=64):
for i in range(maxid):
yield (np.array([i]), np.array([[i, i + 1], [i + 2, i + 3]]))
def test_case_2():
"""
Test multi column generator
"""
logger.info("Test multi column generator")
# apply dataset operations
data1 = ds.GeneratorDataset(generator_mc, ["col0", "col1"])
i = 0
for item in data1.create_dict_iterator(): # each data is a dictionary
golden = np.array([i])
assert np.array_equal(item["col0"], golden)
golden = np.array([[i, i + 1], [i + 2, i + 3]])
assert np.array_equal(item["col1"], golden)
i = i + 1
def test_case_3():
"""
Test 1D Generator + repeat(4)
"""
logger.info("Test 1D Generator : 0 - 63 + Repeat(4)")
# apply dataset operations
data1 = ds.GeneratorDataset(generator_1d, ["data"])
data1 = data1.repeat(4)
i = 0
for item in data1.create_dict_iterator(): # each data is a dictionary
golden = np.array([i])
assert np.array_equal(item["data"], golden)
i = i + 1
if i == 64:
i = 0
def test_case_4():
"""
Test fixed size 1D Generator + batch
"""
logger.info("Test 1D Generator : 0 - 63 + batch(4)")
# apply dataset operations
data1 = ds.GeneratorDataset(generator_1d, ["data"])
data1 = data1.batch(4)
i = 0
for item in data1.create_dict_iterator(): # each data is a dictionary
golden = np.array([[i], [i + 1], [i + 2], [i + 3]])
assert np.array_equal(item["data"], golden)
i = i + 4
def generator_with_type(t):
for i in range(64):
yield (np.array([i], dtype=t),)
def type_tester(t):
logger.info("Test with Type {}".format(t.__name__))
# apply dataset operations
data1 = ds.GeneratorDataset((lambda: generator_with_type(t)), ["data"])
data1 = data1.batch(4)
i = 0
for item in data1.create_dict_iterator(): # each data is a dictionary
golden = np.array([[i], [i + 1], [i + 2], [i + 3]], dtype=t)
assert np.array_equal(item["data"], golden)
i = i + 4
def test_case_5():
"""
Test 1D Generator on different data type
"""
logger.info("Test 1D Generator on all data types")
types = [np.int8, np.int16, np.int32, np.int64, np.uint8, np.uint16, np.uint32, np.uint64, np.float32, np.float64]
for t in types:
type_tester(t)
def type_tester_with_type_check(t, c):
logger.info("Test with Type {}".format(t.__name__))
# apply dataset operations
data1 = ds.GeneratorDataset((lambda: generator_with_type(t)), ["data"], column_types=[c])
data1 = data1.batch(4)
i = 0
for item in data1.create_dict_iterator(): # each data is a dictionary
golden = np.array([[i], [i + 1], [i + 2], [i + 3]], dtype=t)
assert np.array_equal(item["data"], golden)
i = i + 4
def test_case_6():
"""
Test 1D Generator on different data type with type check
"""
logger.info("Test 1D Generator on all data types with type check")
np_types = [np.int8, np.int16, np.int32, np.int64, np.uint8, np.uint16, np.uint32, np.uint64, np.float32,
np.float64]
de_types = [mstype.int8, mstype.int16, mstype.int32, mstype.int64, mstype.uint8, mstype.uint16, mstype.uint32,
mstype.uint64, mstype.float32, mstype.float64]
for i in range(len(np_types)):
type_tester_with_type_check(np_types[i], de_types[i])
def generator_with_type_2c(t):
for i in range(64):
yield (np.array([i], dtype=t), np.array([i], dtype=t))
def type_tester_with_type_check_2c(t, c):
logger.info("Test with Type {}".format(t.__name__))
# apply dataset operations
data1 = ds.GeneratorDataset((lambda: generator_with_type_2c(t)), ["data0", "data1"], column_types=c)
data1 = data1.batch(4)
i = 0
for item in data1.create_dict_iterator(): # each data is a dictionary
golden = np.array([[i], [i + 1], [i + 2], [i + 3]], dtype=t)
assert np.array_equal(item["data0"], golden)
i = i + 4
def test_case_7():
"""
Test 2 column Generator on different data type with type check
"""
logger.info("Test 2 column Generator on all data types with type check")
np_types = [np.int8, np.int16, np.int32, np.int64, np.uint8, np.uint16, np.uint32, np.uint64, np.float32,
np.float64]
de_types = [mstype.int8, mstype.int16, mstype.int32, mstype.int64, mstype.uint8, mstype.uint16, mstype.uint32,
mstype.uint64, mstype.float32, mstype.float64]
for i in range(len(np_types)):
type_tester_with_type_check_2c(np_types[i], [None, de_types[i]])
def test_case_8():
"""
Test multi column generator with few mapops
"""
logger.info("Test multi column generator with mapops to check the order too")
# apply dataset operations
data1 = ds.GeneratorDataset(generator_mc(2048), ["col0", "col1"])
data1 = data1.map(input_columns="col0", output_columns="out0", operations=(lambda x: x * 3),
num_parallel_workers=2)
data1 = data1.map(input_columns="col1", output_columns=["out1", "out2"], operations=(lambda x: (x * 7, x)),
num_parallel_workers=2, columns_order=["out0", "out1", "out2"])
data1 = data1.map(input_columns="out2", output_columns="out2", operations=(lambda x: x + 1),
num_parallel_workers=2)
i = 0
for item in data1.create_dict_iterator(): # each data is a dictionary
golden = np.array([i * 3])
assert np.array_equal(item["out0"], golden)
golden = np.array([[i * 7, (i + 1) * 7], [(i + 2) * 7, (i + 3) * 7]])
assert np.array_equal(item["out1"], golden)
golden = np.array([[i + 1, i + 2], [i + 3, i + 4]])
assert np.array_equal(item["out2"], golden)
i = i + 1
def test_case_9():
"""
Test map column order when len(input_columns) == len(output_columns).
"""
logger.info("Test map column order when len(input_columns) == len(output_columns).")
# apply dataset operations
data1 = ds.GeneratorDataset(generator_mc(2048), ["image", "label"])
data2 = ds.GeneratorDataset(generator_mc(2048), ["label", "image"])
data1 = data1.map(input_columns="label", operations=(lambda x: x * 3),
num_parallel_workers=4)
data2 = data2.map(input_columns="label", operations=(lambda x: x * 3),
num_parallel_workers=4)
# Expected column order is not changed.
# data1 = data[0] is "image" and data[1] is "label"
# data2 = data[0] is "label" and data[1] is "image"
i = 0
for data1, data2 in zip(data1, data2): # each data is a dictionary
golden = np.array([i])
assert np.array_equal(data1[0], golden)
golden = np.array([[i * 3, (i + 1) * 3], [(i + 2) * 3, (i + 3) * 3]])
assert np.array_equal(data1[1], golden)
golden = np.array([i * 3])
assert np.array_equal(data2[0], golden)
golden = np.array([[i, i + 1], [i + 2, i + 3]])
assert np.array_equal(data2[1], golden)
i = i + 1
def test_case_10():
"""
Test map column order when len(input_columns) != len(output_columns).
"""
logger.info("Test map column order when len(input_columns) != len(output_columns).")
# apply dataset operations
data1 = ds.GeneratorDataset(generator_mc(2048), ["col0", "col1"])
data1 = data1.map(input_columns="col1", output_columns=["out1", "out2"], operations=(lambda x: (x, x * 5)),
columns_order=['col0', 'out1', 'out2'], num_parallel_workers=2)
# Expected column order is |col0|out1|out2|
i = 0
for item in data1.create_tuple_iterator():
golden = np.array([i])
assert np.array_equal(item[0], golden)
golden = np.array([[i, i + 1], [i + 2, i + 3]])
assert np.array_equal(item[1], golden)
golden = np.array([[i * 5, (i + 1) * 5], [(i + 2) * 5, (i + 3) * 5]])
assert np.array_equal(item[2], golden)
i = i + 1
def test_case_11():
"""
Test map column order when len(input_columns) != len(output_columns).
"""
logger.info("Test map column order when len(input_columns) != len(output_columns), "
"and columns_order drops some columns.")
# apply dataset operations
data1 = ds.GeneratorDataset(generator_mc(2048), ["col0", "col1"])
data1 = data1.map(input_columns="col1", output_columns=["out1", "out2"], operations=(lambda x: (x, x * 5)),
columns_order=['out1', 'out2'], num_parallel_workers=2)
# Expected column order is |out1|out2|
i = 0
for item in data1.create_tuple_iterator():
# len should be 2 because col0 is dropped (not included in columns_order)
assert len(item) == 2
golden = np.array([[i, i + 1], [i + 2, i + 3]])
assert np.array_equal(item[0], golden)
golden = np.array([[i * 5, (i + 1) * 5], [(i + 2) * 5, (i + 3) * 5]])
assert np.array_equal(item[1], golden)
i = i + 1
def test_case_12():
"""
Test map column order when input_columns and output_columns are None.
"""
logger.info("Test map column order when input_columns and output_columns are None.")
# apply dataset operations
data1 = ds.GeneratorDataset(generator_mc(2048), ["col0", "col1"])
data1 = data1.map(operations=(lambda x: (x * 5)), num_parallel_workers=2)
# Expected column order is |col0|col1|
i = 0
for item in data1.create_tuple_iterator():
assert len(item) == 2
golden = np.array([i * 5])
assert np.array_equal(item[0], golden)
golden = np.array([[i, i + 1], [i + 2, i + 3]])
assert np.array_equal(item[1], golden)
i = i + 1
data1 = ds.GeneratorDataset(generator_mc(2048), ["col0", "col1"])
data1 = data1.map(operations=(lambda x: (x * 5)), columns_order=["col1", "col0"], num_parallel_workers=2)
# Expected column order is |col0|col1|
i = 0
for item in data1.create_tuple_iterator():
assert len(item) == 2
golden = np.array([i * 5])
assert np.array_equal(item[1], golden)
golden = np.array([[i, i + 1], [i + 2, i + 3]])
assert np.array_equal(item[0], golden)
i = i + 1
def test_case_13():
"""
Test map column order when input_columns is None.
"""
logger.info("Test map column order when input_columns is None.")
# apply dataset operations
data1 = ds.GeneratorDataset(generator_mc(2048), ["col0", "col1"])
data1 = data1.map(operations=(lambda x: (x * 5)), output_columns=["out0"], num_parallel_workers=2)
# Expected column order is |out0|col1|
i = 0
for item in data1.create_tuple_iterator():
assert len(item) == 2
golden = np.array([i * 5])
assert np.array_equal(item[0], golden)
golden = np.array([[i, i + 1], [i + 2, i + 3]])
assert np.array_equal(item[1], golden)
i = i + 1
for item in data1.create_dict_iterator(): # each data is a dictionary
# len should be 2 because col0 is dropped (not included in columns_order)
assert len(item) == 2
golden = np.array([i * 5])
assert np.array_equal(item["out0"], golden)
golden = np.array([[i, i + 1], [i + 2, i + 3]])
assert np.array_equal(item["col1"], golden)
i = i + 1
def test_case_error_1():
def generator_np():
for i in range(64):
yield (np.array([{i}]),)
with pytest.raises(RuntimeError) as info:
data1 = ds.GeneratorDataset(generator_np, ["data"])
for _ in data1:
pass
assert "Invalid data type" in str(info.value)
def test_case_error_2():
def generator_np():
for i in range(64):
yield ({i},)
with pytest.raises(RuntimeError) as info:
data1 = ds.GeneratorDataset(generator_np, ["data"])
for _ in data1:
pass
assert "Generator should return a tuple of numpy arrays" in str(info.value)
def test_case_error_3():
with pytest.raises(ValueError) as info:
# apply dataset operations
data1 = ds.GeneratorDataset(generator_mc(2048), ["label", "image"])
data1 = data1.map(input_columns=["label"], output_columns=["out1", "out2"], operations=(lambda x: (x, x * 5)),
num_parallel_workers=2)
for _ in data1:
pass
assert "When (len(input_columns) != len(output_columns)), columns_order must be specified." in str(info.value)
def test_case_error_4():
with pytest.raises(RuntimeError) as info:
# apply dataset operations
data1 = ds.GeneratorDataset(generator_mc(2048), ["label", "image"])
data1 = data1.map(input_columns=["label"], operations=(lambda x: (x, x * 5)),
num_parallel_workers=2)
for _ in data1:
pass
assert "Unexpected error. Result of a tensorOp doesn't match output column names" in str(info.value)
if __name__ == "__main__":
test_case_0()
test_case_1()
test_case_2()
test_case_3()
test_case_4()
test_case_5()
test_case_6()
test_case_7()
test_case_8()
test_case_9()
test_case_10()
test_case_11()
test_case_12()
test_case_13()
test_case_error_1()
test_case_error_2()
test_case_error_3()
test_case_error_4()
| 33.453362
| 118
| 0.606277
| 2,220
| 15,422
| 4.077928
| 0.096847
| 0.051033
| 0.032696
| 0.044847
| 0.799183
| 0.7698
| 0.754888
| 0.717663
| 0.685077
| 0.650834
| 0
| 0.049033
| 0.248865
| 15,422
| 460
| 119
| 33.526087
| 0.732476
| 0.173583
| 0
| 0.564103
| 0
| 0
| 0.107123
| 0.001683
| 0
| 0
| 0
| 0
| 0.139194
| 1
| 0.102564
| false
| 0.014652
| 0.018315
| 0
| 0.120879
| 0
| 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
|
0764ee73ee29d54312a2ebb3b984fa9fb4550ed5
| 1,505
|
py
|
Python
|
netbox/exceptions.py
|
austinjhunt/python-netbox
|
0fced40eb40389f11f45e6b70748dd2169fd7e2b
|
[
"Apache-2.0"
] | 1
|
2019-01-16T22:35:07.000Z
|
2019-01-16T22:35:07.000Z
|
netbox/exceptions.py
|
jixianbo/python-netbox
|
b893492653b99865981ebec566b37cd0f9bab0c3
|
[
"Apache-2.0"
] | null | null | null |
netbox/exceptions.py
|
jixianbo/python-netbox
|
b893492653b99865981ebec566b37cd0f9bab0c3
|
[
"Apache-2.0"
] | null | null | null |
class BaseExceptions(Exception):
pass
class DeleteException(BaseException):
"""Raised when delete failed"""
def __init__(self, resp_data):
if isinstance(resp_data, dict):
self.err = ''.join('Failed with reason {}'.format(val) for key, val in resp_data.items())
else:
self.err = 'Delete failed with an unknown reason'
def __str__(self):
return '{}'.format(self.err)
class NotFoundException(BaseException):
"""Raised when item is not found"""
def __init__(self, msg):
self.msg = msg
def __str__(self):
return 'Unable to found {}'.format(self.msg)
class CreateException(BaseException):
"""Raised when creation failed"""
def __init__(self, resp_data):
if isinstance(resp_data, dict):
self.err = ''.join('{} '.format(val[0]) for key, val in resp_data.items())
else:
self.err = 'Creation failed with unknown reason'
def __str__(self):
return '{}'.format(self.err)
class UpdateException(BaseException):
"""Raised when an object update fails"""
def __init__(self, resp_data):
if isinstance(resp_data, dict):
self.err = ''.join('{} '.format(val[0]) for key, val in resp_data.items())
else:
self.err = 'Update failed with unknown reason'
def __str__(self):
return '{}'.format(self.err)
class AuthException(BaseException):
"""Raised when an API call method is not allowed"""
pass
| 27.363636
| 101
| 0.620598
| 183
| 1,505
| 4.879781
| 0.289617
| 0.080627
| 0.128779
| 0.071669
| 0.515118
| 0.515118
| 0.515118
| 0.515118
| 0.515118
| 0.515118
| 0
| 0.001771
| 0.249834
| 1,505
| 54
| 102
| 27.87037
| 0.789194
| 0.10897
| 0
| 0.606061
| 0
| 0
| 0.117871
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.242424
| false
| 0.060606
| 0
| 0.121212
| 0.545455
| 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
|
076a45091932bf0f7855476b1c2625393fb16180
| 57
|
py
|
Python
|
{{ cookiecutter.project_slug }}/settings/dev.py
|
ibrag8998/cookiecutter-chaban
|
ffd513afe2d82fa21246f8efb99f357699127b2c
|
[
"MIT"
] | null | null | null |
{{ cookiecutter.project_slug }}/settings/dev.py
|
ibrag8998/cookiecutter-chaban
|
ffd513afe2d82fa21246f8efb99f357699127b2c
|
[
"MIT"
] | null | null | null |
{{ cookiecutter.project_slug }}/settings/dev.py
|
ibrag8998/cookiecutter-chaban
|
ffd513afe2d82fa21246f8efb99f357699127b2c
|
[
"MIT"
] | null | null | null |
from .base import env
ADMIN_ID = env.int("ADMIN_ID", 0)
| 14.25
| 33
| 0.701754
| 11
| 57
| 3.454545
| 0.727273
| 0.368421
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.020833
| 0.157895
| 57
| 3
| 34
| 19
| 0.770833
| 0
| 0
| 0
| 0
| 0
| 0.140351
| 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
|
4aea2535cfa938b19d10e997bfc7725a0943f127
| 1,197
|
py
|
Python
|
commands.py
|
lukepetrolekas/selene
|
f7a411279747d69a3e3eb7ee9e9e29b0c51e3826
|
[
"MIT"
] | null | null | null |
commands.py
|
lukepetrolekas/selene
|
f7a411279747d69a3e3eb7ee9e9e29b0c51e3826
|
[
"MIT"
] | null | null | null |
commands.py
|
lukepetrolekas/selene
|
f7a411279747d69a3e3eb7ee9e9e29b0c51e3826
|
[
"MIT"
] | null | null | null |
class CommandBuilder():
def __init__(self, cindex):
self.cindex = cindex
class CodeBuilder(CommandBuilder):
def __init__(self, cindex, cmd):
super().__init__(cindex)
self.cmd = cmd
def __str__(self):
return self.cmd
class SlugBuilder(CommandBuilder):
def __init__(self, cindex, time, location, transition):
super().__init__(cindex)
self.time = time
self.location = location
self.transition = transition
def __str__(self):
return F" scene bg {self.location}" + (F"\n with {self.transition}" if self.transition else "")
class ActorBuilder(CommandBuilder):
def __init__(self, cindex, alias, actor):
super().__init__(cindex)
self.alias = alias
self.actor = actor
def __str__(self):
return F"define {self.alias} = Character(\"{self.actor.upper()}\", color=\"#fff\")"
class LineBuilder(CommandBuilder):
def __init__(self, cindex, actor, blocking, line):
super().__init__(cindex)
self.actor = actor
self.blocking = blocking
self.line = line
def __str__(self):
return F" {self.actor} \"{self.line}\""
| 29.925
| 109
| 0.619048
| 132
| 1,197
| 5.219697
| 0.25
| 0.087083
| 0.152395
| 0.181422
| 0.298984
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.254804
| 1,197
| 40
| 110
| 29.925
| 0.772422
| 0
| 0
| 0.3125
| 0
| 0
| 0.097663
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.28125
| false
| 0
| 0
| 0.125
| 0.5625
| 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
|
4aea5cf91d94441afc3f3253e0ecdf90e1f667b3
| 64
|
py
|
Python
|
python/utir/ast/__init__.py
|
ChanTsune/Unit-Test-IR
|
201b5171b6abe600d4f6acf869fbe02ee6e18a3d
|
[
"MIT"
] | 2
|
2021-01-21T05:57:07.000Z
|
2021-03-08T15:18:21.000Z
|
python/utir/ast/__init__.py
|
ChanTsune/Unit-Test-IR
|
201b5171b6abe600d4f6acf869fbe02ee6e18a3d
|
[
"MIT"
] | 2
|
2020-11-18T07:53:30.000Z
|
2020-12-28T08:40:18.000Z
|
python/utir/ast/__init__.py
|
ChanTsune/Unit-Test-IR
|
201b5171b6abe600d4f6acf869fbe02ee6e18a3d
|
[
"MIT"
] | null | null | null |
from .base import AST
from .nodes import *
from .suite import *
| 16
| 21
| 0.734375
| 10
| 64
| 4.7
| 0.6
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1875
| 64
| 3
| 22
| 21.333333
| 0.903846
| 0
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| 0
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| 0
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| 0
| 0
| 0
| 1
| 0
| true
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| 0
| 0
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| 1
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
ab01b8ca14ad0f5ba4b9c410af856f303d8f25eb
| 5,160
|
py
|
Python
|
python/controls/text_control.py
|
mikaelho/examples
|
2efc52d841b5b9bdfb3ad83d023c978c02d51700
|
[
"MIT"
] | null | null | null |
python/controls/text_control.py
|
mikaelho/examples
|
2efc52d841b5b9bdfb3ad83d023c978c02d51700
|
[
"MIT"
] | null | null | null |
python/controls/text_control.py
|
mikaelho/examples
|
2efc52d841b5b9bdfb3ad83d023c978c02d51700
|
[
"MIT"
] | null | null | null |
import pglet
from pglet import Stack, Text
def main(page):
page.add(
Text("Squares", size="large"),
Stack(
horizontal=True,
controls=[
Text(
"left top",
align="left",
vertical_align="top",
width=100,
height=100,
bgcolor="salmon",
color="white",
padding=5,
),
Text(
"center top",
align="center",
vertical_align="top",
width=100,
height=100,
bgcolor="salmon",
color="white",
padding=5,
size="large",
border="1px solid #555",
),
Text(
"right top",
align="right",
vertical_align="top",
width=100,
height=100,
bgcolor="salmon",
color="white",
padding=5,
border="2px solid #555",
),
],
),
Stack(
horizontal=True,
controls=[
Text(
"left center",
align="left",
vertical_align="center",
width=100,
height=100,
bgcolor="PaleGoldenrod",
padding=5,
),
Text(
"center center",
align="center",
vertical_align="center",
width=100,
height=100,
bgcolor="PaleGoldenrod",
padding=5,
size="large",
border="1px solid #555",
),
Text(
"right center",
align="right",
vertical_align="center",
width=100,
height=100,
bgcolor="PaleGoldenrod",
padding=5,
border="2px solid #555",
),
],
),
Stack(
horizontal=True,
controls=[
Text(
"left bottom",
align="left",
vertical_align="center",
width=100,
height=100,
bgcolor="PaleGreen",
padding=5,
),
Text(
"center bottom",
align="center",
vertical_align="center",
width=100,
height=100,
bgcolor="PaleGreen",
padding=5,
size="large",
border="1px solid #555",
),
Text(
"right bottom",
align="right",
vertical_align="center",
width=100,
height=100,
bgcolor="PaleGreen",
padding=5,
border="2px solid #555",
),
],
),
Text("Circles", size="large"),
Stack(
horizontal=True,
controls=[
Text(
"regular",
align="center",
vertical_align="center",
width=100,
height=100,
border_radius=50,
bgcolor="salmon",
),
Text(
"bold italic",
bold=True,
italic=True,
align="center",
vertical_align="center",
width=100,
height=100,
border_radius=50,
bgcolor="PaleGoldenrod",
size="large",
border="1px solid #555",
),
Text(
"bold",
bold=True,
align="center",
vertical_align="center",
width=100,
height=100,
border_radius=50,
bgcolor="PaleGreen",
border="2px solid #555",
),
],
),
Text("Markdown", size="large"),
Text(
"""
# GitHub Flavored Markdown
## Autolink literals
www.example.com, https://example.com, and contact@example.com.
## Strikethrough
~one~ or ~~two~~ tildes.
### Code sample
```
import pglet
page = page.page()
```
## Table
| a | b | c | d |
| - | :- | -: | :-: |
""",
markdown=True,
),
)
pglet.app("python-text", target=main)
| 27.446809
| 62
| 0.325388
| 326
| 5,160
| 5.104294
| 0.214724
| 0.099159
| 0.100962
| 0.122596
| 0.721755
| 0.706731
| 0.694111
| 0.628005
| 0.628005
| 0.628005
| 0
| 0.054412
| 0.576163
| 5,160
| 187
| 63
| 27.593583
| 0.706447
| 0
| 0
| 0.849057
| 0
| 0
| 0.113664
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.006289
| false
| 0
| 0.012579
| 0
| 0.018868
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
db4d10edd5dfeead283fded317ee4b1d51fc9cd7
| 90
|
py
|
Python
|
apps.py
|
AileenLumina/dwarf
|
5fc3b1b532290a474d17f84694dae1d0d53be7b4
|
[
"MIT"
] | null | null | null |
apps.py
|
AileenLumina/dwarf
|
5fc3b1b532290a474d17f84694dae1d0d53be7b4
|
[
"MIT"
] | null | null | null |
apps.py
|
AileenLumina/dwarf
|
5fc3b1b532290a474d17f84694dae1d0d53be7b4
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class DwarfConfig(AppConfig):
name = 'dwarf'
| 15
| 34
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| 10
| 90
| 6.3
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| 5
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| 0
| 1
| 0
|
0
| 4
|
db540b9be4659914c537188852f374bf372b23cc
| 134
|
py
|
Python
|
mtaa/apps.py
|
tgalvinjr/majirani-IP
|
c4fb852130c3e4e6b9b6ff9707c125a3c964a67f
|
[
"MIT"
] | null | null | null |
mtaa/apps.py
|
tgalvinjr/majirani-IP
|
c4fb852130c3e4e6b9b6ff9707c125a3c964a67f
|
[
"MIT"
] | 4
|
2020-06-05T21:45:44.000Z
|
2021-06-10T21:39:38.000Z
|
mtaa/apps.py
|
tgalvinjr/majirani-IP
|
c4fb852130c3e4e6b9b6ff9707c125a3c964a67f
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class MtaaConfig(AppConfig):
name = 'mtaa'
def ready(self):
import mtaa.signals
| 13.4
| 33
| 0.671642
| 16
| 134
| 5.625
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| 9
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| 1
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|
0
| 4
|
db8576a751b510395c7791eb66f7379e94b858d4
| 189
|
py
|
Python
|
python/testData/quickFixes/PyTypeHintsQuickFixTest/instanceCheckOnCallable.py
|
truthiswill/intellij-community
|
fff88cfb0dc168eea18ecb745d3e5b93f57b0b95
|
[
"Apache-2.0"
] | 2
|
2019-04-28T07:48:50.000Z
|
2020-12-11T14:18:08.000Z
|
python/testData/quickFixes/PyTypeHintsQuickFixTest/instanceCheckOnCallable.py
|
truthiswill/intellij-community
|
fff88cfb0dc168eea18ecb745d3e5b93f57b0b95
|
[
"Apache-2.0"
] | 173
|
2018-07-05T13:59:39.000Z
|
2018-08-09T01:12:03.000Z
|
python/testData/quickFixes/PyTypeHintsQuickFixTest/instanceCheckOnCallable.py
|
truthiswill/intellij-community
|
fff88cfb0dc168eea18ecb745d3e5b93f57b0b95
|
[
"Apache-2.0"
] | 2
|
2020-03-15T08:57:37.000Z
|
2020-04-07T04:48:14.000Z
|
from typing import Callable
class A:
pass
assert isinstance(A(), <error descr="Parameterized generics cannot be used with instance and class checks">Callable<caret>[..., str]</error>)
| 31.5
| 141
| 0.746032
| 26
| 189
| 5.423077
| 0.846154
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| 0.137566
| 189
| 6
| 141
| 31.5
| 0.865031
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| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
db8bad619e798a005e405e27c036e2f84460d837
| 231
|
py
|
Python
|
apps/xfzauth/serializers.py
|
NAZBIN/web
|
cc9289dc5973e1041c0ed5df802d99b7efcf4d18
|
[
"MIT"
] | 3
|
2019-08-26T11:11:31.000Z
|
2020-11-30T17:16:14.000Z
|
apps/xfzauth/serializers.py
|
NAZBIN/web
|
cc9289dc5973e1041c0ed5df802d99b7efcf4d18
|
[
"MIT"
] | 7
|
2021-03-19T03:06:26.000Z
|
2022-03-11T23:57:45.000Z
|
apps/xfzauth/serializers.py
|
NAZBIN/web
|
cc9289dc5973e1041c0ed5df802d99b7efcf4d18
|
[
"MIT"
] | null | null | null |
from rest_framework import serializers
from .forms import User
class UserSerializers(serializers.ModelSerializer):
class Meta:
model = User
fields = ('uid','telephone','username','email','is_active','is_staff')
| 33
| 78
| 0.718615
| 26
| 231
| 6.269231
| 0.769231
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| 0.164502
| 231
| 7
| 78
| 33
| 0.84456
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| 0.181034
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| 1
| 0
| 1
| 0
|
0
| 4
|
dba347baa6c07f3e8f9bab237f4b6d14547be283
| 513
|
py
|
Python
|
apero/science/calib/__init__.py
|
njcuk9999/apero-drs
|
83b043e9f277a011b03e0227c77307961b200901
|
[
"MIT"
] | 1
|
2021-03-09T17:49:31.000Z
|
2021-03-09T17:49:31.000Z
|
apero/science/calib/__init__.py
|
njcuk9999/apero-drs
|
83b043e9f277a011b03e0227c77307961b200901
|
[
"MIT"
] | 43
|
2020-10-06T18:42:24.000Z
|
2022-03-28T21:23:10.000Z
|
apero/science/calib/__init__.py
|
njcuk9999/apero-drs
|
83b043e9f277a011b03e0227c77307961b200901
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
# CODE NAME HERE
# CODE DESCRIPTION HERE
Created on 2019-01-17 at 14:31
@author: cook
"""
__all__ = []
# =============================================================================
# Define functions
# =============================================================================
# =============================================================================
# End of code
# =============================================================================
| 22.304348
| 79
| 0.233918
| 29
| 513
| 4
| 0.896552
| 0
| 0
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| 0
| 0
| 0.028017
| 0.095517
| 513
| 22
| 80
| 23.318182
| 0.221983
| 0.920078
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
dbb63f86d1ddff187c07cafbc7115125230dfde5
| 169
|
py
|
Python
|
bakery/custom_filebrowser/apps.py
|
yoniLavi/bobr_ru-bakery
|
4ae9b5de2bfd8462a515bd0685d8c6c38913c47f
|
[
"MIT"
] | null | null | null |
bakery/custom_filebrowser/apps.py
|
yoniLavi/bobr_ru-bakery
|
4ae9b5de2bfd8462a515bd0685d8c6c38913c47f
|
[
"MIT"
] | null | null | null |
bakery/custom_filebrowser/apps.py
|
yoniLavi/bobr_ru-bakery
|
4ae9b5de2bfd8462a515bd0685d8c6c38913c47f
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class CustomAdminConfig(AppConfig):
name = 'bakery.custom_filebrowser'
def ready(self):
from . import forms # noqa
| 18.777778
| 38
| 0.704142
| 19
| 169
| 6.210526
| 0.842105
| 0
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| 0
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| 0
| 0
| 0.218935
| 169
| 8
| 39
| 21.125
| 0.893939
| 0.023669
| 0
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| 0.153374
| 0.153374
| 0
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| false
| 0
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| null | 0
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| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
dbd281fbb978887f616b5c1ff675e0e580ab6de4
| 61
|
py
|
Python
|
throttle/storage/base.py
|
Hanaasagi/throttle
|
c80aa6266e36f8ff0b99fbedac1c4e28e305f91d
|
[
"MIT"
] | null | null | null |
throttle/storage/base.py
|
Hanaasagi/throttle
|
c80aa6266e36f8ff0b99fbedac1c4e28e305f91d
|
[
"MIT"
] | null | null | null |
throttle/storage/base.py
|
Hanaasagi/throttle
|
c80aa6266e36f8ff0b99fbedac1c4e28e305f91d
|
[
"MIT"
] | null | null | null |
class BaseStorage:
"""Abstract Storage Class"""
pass
| 15.25
| 32
| 0.655738
| 6
| 61
| 6.666667
| 0.833333
| 0
| 0
| 0
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| 0
| 0.229508
| 61
| 3
| 33
| 20.333333
| 0.851064
| 0.360656
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| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
915776791016162ecf151351fa76ec290cff203e
| 235
|
py
|
Python
|
common/data.py
|
kollad/turbo-ninja
|
9c3f66b2af64aec01f522d19b309cfdd723e67cf
|
[
"MIT"
] | null | null | null |
common/data.py
|
kollad/turbo-ninja
|
9c3f66b2af64aec01f522d19b309cfdd723e67cf
|
[
"MIT"
] | 1
|
2017-12-14T05:35:38.000Z
|
2017-12-14T05:35:38.000Z
|
common/data.py
|
kollad/turbo-ninja
|
9c3f66b2af64aec01f522d19b309cfdd723e67cf
|
[
"MIT"
] | null | null | null |
from abc import ABCMeta, abstractmethod
__author__ = 'kollad'
class DataObjectAbstract(metaclass=ABCMeta):
@abstractmethod
def reload_cache(self, key):
pass
@abstractmethod
def drop_cache(self):
pass
| 18.076923
| 44
| 0.697872
| 24
| 235
| 6.583333
| 0.708333
| 0.265823
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| 0.229787
| 235
| 13
| 45
| 18.076923
| 0.872928
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| 0.222222
| false
| 0.222222
| 0.111111
| 0
| 0.444444
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| 0
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| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
916df208b078621ca1c231c8872b3e92cd1518e6
| 2,536
|
py
|
Python
|
modules/dbnd/src/dbnd/_core/tracking/backends/channels/abstract_channel.py
|
dmytrostriletskyi/dbnd
|
d4a5f5167523e80439c9d64182cdc87b40cbc48f
|
[
"Apache-2.0"
] | null | null | null |
modules/dbnd/src/dbnd/_core/tracking/backends/channels/abstract_channel.py
|
dmytrostriletskyi/dbnd
|
d4a5f5167523e80439c9d64182cdc87b40cbc48f
|
[
"Apache-2.0"
] | null | null | null |
modules/dbnd/src/dbnd/_core/tracking/backends/channels/abstract_channel.py
|
dmytrostriletskyi/dbnd
|
d4a5f5167523e80439c9d64182cdc87b40cbc48f
|
[
"Apache-2.0"
] | null | null | null |
import logging
from abc import ABCMeta
import six
logger = logging.getLogger(__name__)
@six.add_metaclass(ABCMeta)
class TrackingChannel(object):
def _handle(self, name, data):
logger.info("Tracking %s.%s is not implemented", self.__class__.__name__, name)
def init_scheduled_job(self, data):
return self._handle(TrackingChannel.init_scheduled_job.__name__, data)
def init_run(self, data):
return self._handle(TrackingChannel.init_run.__name__, data)
def add_task_runs(self, data):
return self._handle(TrackingChannel.add_task_runs.__name__, data)
def set_run_state(self, data):
return self._handle(TrackingChannel.set_run_state.__name__, data)
def set_task_reused(self, data):
return self._handle(TrackingChannel.set_task_reused.__name__, data)
def update_task_run_attempts(self, data):
return self._handle(TrackingChannel.update_task_run_attempts.__name__, data)
def set_unfinished_tasks_state(self, data):
return self._handle(TrackingChannel.set_unfinished_tasks_state.__name__, data)
def save_task_run_log(self, data):
return self._handle(TrackingChannel.save_task_run_log.__name__, data)
def save_external_links(self, data):
return self._handle(TrackingChannel.save_external_links.__name__, data)
def log_dataset(self, data):
return self._handle(TrackingChannel.log_dataset.__name__, data)
def log_datasets(self, data):
return self._handle(TrackingChannel.log_datasets.__name__, data)
def log_target(self, data):
return self._handle(TrackingChannel.log_target.__name__, data)
def log_targets(self, data):
return self._handle(TrackingChannel.log_targets.__name__, data)
def log_metric(self, data):
return self._handle(TrackingChannel.log_metric.__name__, data)
def log_metrics(self, data):
return self._handle(TrackingChannel.log_metrics.__name__, data)
def log_artifact(self, data):
return self._handle(TrackingChannel.log_artifact.__name__, data)
def heartbeat(self, data):
return self._handle(TrackingChannel.heartbeat.__name__, data)
def save_airflow_task_infos(self, data):
return self._handle(TrackingChannel.save_airflow_task_infos.__name__, data)
def is_ready(self):
return self._handle(TrackingChannel.is_ready.__name__, None)
def get_schema_by_handler_name(self, handler_name):
raise NotImplementedError()
def shutdown(self):
pass
| 32.512821
| 87
| 0.738565
| 321
| 2,536
| 5.286604
| 0.193146
| 0.08957
| 0.17914
| 0.347083
| 0.449028
| 0.449028
| 0.380083
| 0.055392
| 0
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| 0
| 0.172319
| 2,536
| 77
| 88
| 32.935065
| 0.80848
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| 0.013013
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| 0.44
| false
| 0.02
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| 0.38
| 0.9
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| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
9181131f7790bfdbf1b203f21d944628f5219a78
| 544
|
py
|
Python
|
src/type.py
|
hieunv495/backuptools
|
962a3719cfa306c85834aef74a19cb832200a13d
|
[
"MIT"
] | 1
|
2021-07-27T11:23:17.000Z
|
2021-07-27T11:23:17.000Z
|
src/type.py
|
hieunv495/backuptools
|
962a3719cfa306c85834aef74a19cb832200a13d
|
[
"MIT"
] | null | null | null |
src/type.py
|
hieunv495/backuptools
|
962a3719cfa306c85834aef74a19cb832200a13d
|
[
"MIT"
] | null | null | null |
from typing import Any, Dict
FileMeta = Dict[str, Any]
class ParentNotFoundException(Exception):
def __init__(self, message="Parent not found"):
self.message = message
super().__init__(self.message)
class FileNotFoundException(Exception):
def __init__(self, message="File not found"):
self.message = message
super().__init__(self.message)
class FileExistedException(Exception):
def __init__(self, message="File existed"):
self.message = message
super().__init__(self.message)
| 23.652174
| 51
| 0.691176
| 59
| 544
| 5.966102
| 0.372881
| 0.28125
| 0.255682
| 0.170455
| 0.650568
| 0.573864
| 0.397727
| 0.289773
| 0.289773
| 0.289773
| 0
| 0
| 0.200368
| 544
| 22
| 52
| 24.727273
| 0.809195
| 0
| 0
| 0.428571
| 0
| 0
| 0.077348
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.214286
| false
| 0
| 0.071429
| 0
| 0.5
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
91a8e79f44493d453f1057af4955c2775a43ba46
| 104
|
py
|
Python
|
src/biblishelf_main/apps.py
|
x007007007/biblishelf
|
a79b105f6929ecc9df41b1e74a92713212cd06fa
|
[
"MIT"
] | null | null | null |
src/biblishelf_main/apps.py
|
x007007007/biblishelf
|
a79b105f6929ecc9df41b1e74a92713212cd06fa
|
[
"MIT"
] | 3
|
2018-01-28T15:17:55.000Z
|
2018-01-31T09:21:01.000Z
|
src/biblishelf_main/apps.py
|
x007007007/biblishelf
|
a79b105f6929ecc9df41b1e74a92713212cd06fa
|
[
"MIT"
] | 1
|
2018-01-27T13:49:51.000Z
|
2018-01-27T13:49:51.000Z
|
from django.apps import AppConfig
class BiblishelfMainConfig(AppConfig):
name = 'biblishelf_main'
| 17.333333
| 38
| 0.788462
| 11
| 104
| 7.363636
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.144231
| 104
| 5
| 39
| 20.8
| 0.910112
| 0
| 0
| 0
| 0
| 0
| 0.144231
| 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
|
91b9059197cb6a954f639cfe3773f40982c651ff
| 98
|
py
|
Python
|
RL_Toy/base/__init__.py
|
Bobobert/RL_Toy
|
34d5955525aa761b3180181168b8a9b83061623f
|
[
"MIT"
] | null | null | null |
RL_Toy/base/__init__.py
|
Bobobert/RL_Toy
|
34d5955525aa761b3180181168b8a9b83061623f
|
[
"MIT"
] | null | null | null |
RL_Toy/base/__init__.py
|
Bobobert/RL_Toy
|
34d5955525aa761b3180181168b8a9b83061623f
|
[
"MIT"
] | null | null | null |
from RL_Toy.base.basics import Environment, Policy, ActionSpace, ObservationSpace, Agent, AgentToy
| 98
| 98
| 0.846939
| 12
| 98
| 6.833333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.081633
| 98
| 1
| 98
| 98
| 0.911111
| 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
|
91cc74c18f882a413f121876ebbcc3f5035f6360
| 43
|
py
|
Python
|
utils/data/processing/_abstract.py
|
m-zayan/deeplearning_utils
|
cc40636f46d13a81cb1020fdcfae84e52456fa06
|
[
"MIT"
] | null | null | null |
utils/data/processing/_abstract.py
|
m-zayan/deeplearning_utils
|
cc40636f46d13a81cb1020fdcfae84e52456fa06
|
[
"MIT"
] | null | null | null |
utils/data/processing/_abstract.py
|
m-zayan/deeplearning_utils
|
cc40636f46d13a81cb1020fdcfae84e52456fa06
|
[
"MIT"
] | null | null | null |
__all__ = ['Meta']
class Meta:
pass
| 6.142857
| 18
| 0.55814
| 5
| 43
| 4
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.302326
| 43
| 6
| 19
| 7.166667
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0.095238
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.333333
| 0
| 0
| 0.333333
| 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
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
37d038f91aaa246d15d5c61e62f9f0881f39043c
| 476
|
py
|
Python
|
src/arbies/__init__.py
|
broiledmeat/arbies
|
29f3ce498dbd3265b1181dde62629df3deda0440
|
[
"MIT"
] | null | null | null |
src/arbies/__init__.py
|
broiledmeat/arbies
|
29f3ce498dbd3265b1181dde62629df3deda0440
|
[
"MIT"
] | null | null | null |
src/arbies/__init__.py
|
broiledmeat/arbies
|
29f3ce498dbd3265b1181dde62629df3deda0440
|
[
"MIT"
] | null | null | null |
import importlib
from typing import Type, Dict
_import_class_cache: Dict[str, Type] = {}
def import_module_class_from_fullname(name) -> Type:
if name not in _import_class_cache:
name_index: int = name.rindex('.')
module_name: str = name[:name_index]
class_name: str = name[name_index + 1:]
module = importlib.import_module(module_name)
_import_class_cache[name] = getattr(module, class_name)
return _import_class_cache[name]
| 31.733333
| 63
| 0.705882
| 65
| 476
| 4.8
| 0.338462
| 0.141026
| 0.205128
| 0.192308
| 0.128205
| 0
| 0
| 0
| 0
| 0
| 0
| 0.002625
| 0.19958
| 476
| 14
| 64
| 34
| 0.816273
| 0
| 0
| 0
| 0
| 0
| 0.002101
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.090909
| false
| 0
| 0.727273
| 0
| 0.909091
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
37e756f9e12aea68d8c736176a9a3e6c2cd5fee9
| 71
|
py
|
Python
|
src/utils.py
|
aman313/SCAN
|
2819bfe7e5b3da0fd3bcceb68c67ff87b343f6e9
|
[
"BSD-3-Clause"
] | null | null | null |
src/utils.py
|
aman313/SCAN
|
2819bfe7e5b3da0fd3bcceb68c67ff87b343f6e9
|
[
"BSD-3-Clause"
] | null | null | null |
src/utils.py
|
aman313/SCAN
|
2819bfe7e5b3da0fd3bcceb68c67ff87b343f6e9
|
[
"BSD-3-Clause"
] | null | null | null |
def create_paired_scan_dataset(instance_file, reference_file):
pass
| 35.5
| 62
| 0.84507
| 10
| 71
| 5.5
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.098592
| 71
| 2
| 63
| 35.5
| 0.859375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0.5
| 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
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
37f69fb2c73a3280f8e050080b9aea5d461bff6a
| 97
|
py
|
Python
|
dealsengine/apps.py
|
lh15/dealscore_django
|
0f17cc5c399d28d89ea1db9b4f978515d8f29334
|
[
"MIT"
] | null | null | null |
dealsengine/apps.py
|
lh15/dealscore_django
|
0f17cc5c399d28d89ea1db9b4f978515d8f29334
|
[
"MIT"
] | 3
|
2021-03-19T11:32:01.000Z
|
2022-02-10T11:43:56.000Z
|
dealsengine/apps.py
|
lh15/dealscore_django
|
0f17cc5c399d28d89ea1db9b4f978515d8f29334
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class DealsengineConfig(AppConfig):
name = 'dealsengine'
| 16.166667
| 35
| 0.773196
| 10
| 97
| 7.5
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.154639
| 97
| 5
| 36
| 19.4
| 0.914634
| 0
| 0
| 0
| 0
| 0
| 0.113402
| 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
|
5308d29cfed8808640991b0a13bdf4ac39960f35
| 39
|
py
|
Python
|
Bronze/Bronze_V/18108.py
|
masterTyper/baekjoon_solved_ac
|
b9ce14d9bdaa5b5b06735ad075fb827de9f44b9c
|
[
"MIT"
] | null | null | null |
Bronze/Bronze_V/18108.py
|
masterTyper/baekjoon_solved_ac
|
b9ce14d9bdaa5b5b06735ad075fb827de9f44b9c
|
[
"MIT"
] | null | null | null |
Bronze/Bronze_V/18108.py
|
masterTyper/baekjoon_solved_ac
|
b9ce14d9bdaa5b5b06735ad075fb827de9f44b9c
|
[
"MIT"
] | null | null | null |
year = int(input())
print(year - 543)
| 9.75
| 19
| 0.615385
| 6
| 39
| 4
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.09375
| 0.179487
| 39
| 3
| 20
| 13
| 0.65625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.5
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
5319e8ef45b4465b2db575a82bd9713034c1231d
| 223
|
py
|
Python
|
src/logits.py
|
hankyul2/KnowledgeDistillation
|
f019dfc17886f40339f13421bfb452b364e302f3
|
[
"Apache-2.0"
] | null | null | null |
src/logits.py
|
hankyul2/KnowledgeDistillation
|
f019dfc17886f40339f13421bfb452b364e302f3
|
[
"Apache-2.0"
] | 1
|
2021-08-30T00:22:02.000Z
|
2021-08-30T00:22:11.000Z
|
src/logits.py
|
hankyul2/KnowledgeDistillation
|
f019dfc17886f40339f13421bfb452b364e302f3
|
[
"Apache-2.0"
] | null | null | null |
from torch import nn
import torch.nn.functional as F
class Logits(nn.Module):
def __init__(self):
super(Logits, self).__init__()
def forward(self, s_feat, t_feat):
return F.mse_loss(s_feat, t_feat)
| 24.777778
| 41
| 0.686099
| 36
| 223
| 3.888889
| 0.583333
| 0.071429
| 0.085714
| 0.142857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.206278
| 223
| 9
| 41
| 24.777778
| 0.79096
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| false
| 0
| 0.285714
| 0.142857
| 0.857143
| 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
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
53221716448bba0fa996200170d76d60bcb6257c
| 58
|
py
|
Python
|
Codeforces/ACMSGURU/112-a^b-b^a.py
|
Pankajcoder1/Competitive_programming
|
72ee0d41f3f72f43a5c2a232255eb84a04b14df9
|
[
"MIT"
] | null | null | null |
Codeforces/ACMSGURU/112-a^b-b^a.py
|
Pankajcoder1/Competitive_programming
|
72ee0d41f3f72f43a5c2a232255eb84a04b14df9
|
[
"MIT"
] | null | null | null |
Codeforces/ACMSGURU/112-a^b-b^a.py
|
Pankajcoder1/Competitive_programming
|
72ee0d41f3f72f43a5c2a232255eb84a04b14df9
|
[
"MIT"
] | 1
|
2020-10-02T04:51:22.000Z
|
2020-10-02T04:51:22.000Z
|
a,b=[int(x) for x in input().split()]
print((a**b)-(b**a))
| 29
| 37
| 0.534483
| 14
| 58
| 2.214286
| 0.642857
| 0.129032
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.086207
| 58
| 2
| 38
| 29
| 0.584906
| 0
| 0
| 0
| 0
| 0
| 0
| 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
|
5341cf30131c2a96e4f9818ef4e0bcc0ce7bfc37
| 40
|
py
|
Python
|
vox/__init__.py
|
BastienLaby/vox
|
07ec972315f1714d3791d3e55e59e7b3fadff338
|
[
"MIT"
] | null | null | null |
vox/__init__.py
|
BastienLaby/vox
|
07ec972315f1714d3791d3e55e59e7b3fadff338
|
[
"MIT"
] | 1
|
2021-06-08T22:05:06.000Z
|
2021-06-08T22:05:06.000Z
|
vox/__init__.py
|
BastienLaby/vox
|
07ec972315f1714d3791d3e55e59e7b3fadff338
|
[
"MIT"
] | null | null | null |
# vox/__init__.py
__version__ = "0.1.0"
| 13.333333
| 21
| 0.675
| 7
| 40
| 2.714286
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.085714
| 0.125
| 40
| 3
| 21
| 13.333333
| 0.457143
| 0.375
| 0
| 0
| 0
| 0
| 0.208333
| 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
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
534a223855036c4342853825e5f0f6fb379d15d1
| 48
|
py
|
Python
|
Interface.py
|
ijtodorov/Python_aksiom16
|
6242a5a164c0366fb3d48eed9b2182575cf59194
|
[
"MIT"
] | null | null | null |
Interface.py
|
ijtodorov/Python_aksiom16
|
6242a5a164c0366fb3d48eed9b2182575cf59194
|
[
"MIT"
] | null | null | null |
Interface.py
|
ijtodorov/Python_aksiom16
|
6242a5a164c0366fb3d48eed9b2182575cf59194
|
[
"MIT"
] | null | null | null |
__author__ = 'Cib'
class interface():
pass
| 9.6
| 18
| 0.645833
| 5
| 48
| 5.4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.229167
| 48
| 4
| 19
| 12
| 0.72973
| 0
| 0
| 0
| 0
| 0
| 0.0625
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.333333
| 0
| 0
| 0.333333
| 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
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
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