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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
e709bde051d3f68e578587ceec12aa76beff1589
| 30
|
py
|
Python
|
src/amuse/community/adaptb/__init__.py
|
sibonyves/amuse
|
5557bf88d14df1aa02133a199b6d60c0c57dcab7
|
[
"Apache-2.0"
] | null | null | null |
src/amuse/community/adaptb/__init__.py
|
sibonyves/amuse
|
5557bf88d14df1aa02133a199b6d60c0c57dcab7
|
[
"Apache-2.0"
] | 12
|
2021-11-15T09:13:03.000Z
|
2022-02-02T14:53:04.000Z
|
src/amuse/community/adaptb/__init__.py
|
sibonyves/amuse
|
5557bf88d14df1aa02133a199b6d60c0c57dcab7
|
[
"Apache-2.0"
] | null | null | null |
from .interface import Adaptb
| 15
| 29
| 0.833333
| 4
| 30
| 6.25
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.133333
| 30
| 1
| 30
| 30
| 0.961538
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
e70eb1e670bdd40fcab12fad55751c3187dd0413
| 80
|
py
|
Python
|
services/director-v2/src/simcore_service_director_v2/modules/dynamic_sidecar/scheduler/__init__.py
|
colinRawlings/osparc-simcore
|
bf2f18d5bc1e574d5f4c238d08ad15156184c310
|
[
"MIT"
] | 25
|
2018-04-13T12:44:12.000Z
|
2022-03-12T15:01:17.000Z
|
services/director-v2/src/simcore_service_director_v2/modules/dynamic_sidecar/scheduler/__init__.py
|
colinRawlings/osparc-simcore
|
bf2f18d5bc1e574d5f4c238d08ad15156184c310
|
[
"MIT"
] | 2,553
|
2018-01-18T17:11:55.000Z
|
2022-03-31T16:26:40.000Z
|
services/director-v2/src/simcore_service_director_v2/modules/dynamic_sidecar/scheduler/__init__.py
|
mrnicegyu11/osparc-simcore
|
b6fa6c245dbfbc18cc74a387111a52de9b05d1f4
|
[
"MIT"
] | 20
|
2018-01-18T19:45:33.000Z
|
2022-03-29T07:08:47.000Z
|
from .task import DynamicSidecarsScheduler, setup_scheduler, shutdown_scheduler
| 40
| 79
| 0.8875
| 8
| 80
| 8.625
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.075
| 80
| 1
| 80
| 80
| 0.932432
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
e73ea0a8ca0675f6b0397c2ea3052648d0dc71d6
| 195
|
py
|
Python
|
maomew/views.py
|
gitgitcode/myflask
|
b24c06293cb97188cc965aa55d2c44e3fb269aa3
|
[
"MIT"
] | null | null | null |
maomew/views.py
|
gitgitcode/myflask
|
b24c06293cb97188cc965aa55d2c44e3fb269aa3
|
[
"MIT"
] | null | null | null |
maomew/views.py
|
gitgitcode/myflask
|
b24c06293cb97188cc965aa55d2c44e3fb269aa3
|
[
"MIT"
] | null | null | null |
from flask import render_template
from flask import login_required
from . import app
from .util import check_expired
@app.route('/use_app')
@login_required
@check_expired
def use_app():
""
| 16.25
| 33
| 0.774359
| 29
| 195
| 4.965517
| 0.482759
| 0.125
| 0.208333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.14359
| 195
| 12
| 34
| 16.25
| 0.862275
| 0
| 0
| 0
| 0
| 0
| 0.040816
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.111111
| true
| 0
| 0.444444
| 0
| 0.555556
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
e76035a06865217b2d282943b8b8d6039f61c11b
| 1,297
|
py
|
Python
|
Assignment6/Lab6_Q1_Creating Calculator.py
|
mjmaisha527/python-projects-cse111
|
cd2311215b00a5ea87f7749ee7ff8f2b10f64591
|
[
"Apache-2.0"
] | null | null | null |
Assignment6/Lab6_Q1_Creating Calculator.py
|
mjmaisha527/python-projects-cse111
|
cd2311215b00a5ea87f7749ee7ff8f2b10f64591
|
[
"Apache-2.0"
] | null | null | null |
Assignment6/Lab6_Q1_Creating Calculator.py
|
mjmaisha527/python-projects-cse111
|
cd2311215b00a5ea87f7749ee7ff8f2b10f64591
|
[
"Apache-2.0"
] | null | null | null |
class Calculator:
def __init__(self,value1,operator,value2):
self.value1=value1
self.operator=operator
self.value2=value2
def add (self):
return self.value1+self.value2
def subtract (self):
return self.value1-self.value2
def multiply (self):
return self.value1*self.value2
def divide(self):
return self.value1/self.value2
x=int(input())
sign=input()
y=int(input())
print("Let's Calculate!")
calculate=Calculator(value1=x,operator=sign,value2=y)
if calculate.operator=="+":
print("Value 1:",calculate.value1)
print("Operator:", calculate.operator)
print("Value 2:", calculate.value2)
print("Result:", calculate.add())
elif calculate.operator=="-":
print("Value 1:",calculate.value1)
print("Operator:", calculate.operator)
print("Value 2:", calculate.value2)
print("Result:", calculate.subtract())
elif calculate.operator=="*":
print("Value 1:",calculate.value1)
print("Operator:", calculate.operator)
print("Value 2:", calculate.value2)
print("Result:", calculate.multiply())
elif calculate.operator=="/":
print("Value 1:",calculate.value1)
print("Operator:", calculate.operator)
print("Value 2:", calculate.value2)
print("Result:", calculate.divide())
| 29.477273
| 53
| 0.666153
| 153
| 1,297
| 5.620915
| 0.183007
| 0.15814
| 0.204651
| 0.251163
| 0.717442
| 0.717442
| 0.682558
| 0.567442
| 0.567442
| 0.567442
| 0
| 0.02974
| 0.170393
| 1,297
| 43
| 54
| 30.162791
| 0.769517
| 0
| 0
| 0.315789
| 0
| 0
| 0.114286
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.131579
| false
| 0
| 0
| 0.105263
| 0.263158
| 0.447368
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
|
0
| 5
|
e7741a37a19b2c903b65ec17857f6451d4c61f3a
| 27
|
py
|
Python
|
tests/test_graph.py
|
gerrymandr/graphmaker
|
e3f5f6e743867e8de138628ea5b4faab4a7f546d
|
[
"MIT"
] | null | null | null |
tests/test_graph.py
|
gerrymandr/graphmaker
|
e3f5f6e743867e8de138628ea5b4faab4a7f546d
|
[
"MIT"
] | 10
|
2018-07-03T16:14:48.000Z
|
2018-08-10T16:43:52.000Z
|
tests/test_graph.py
|
gerrymandr/graphmaker
|
e3f5f6e743867e8de138628ea5b4faab4a7f546d
|
[
"MIT"
] | 3
|
2018-07-03T14:39:51.000Z
|
2018-07-10T14:34:48.000Z
|
class TestGraph:
pass
| 6.75
| 16
| 0.666667
| 3
| 27
| 6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.296296
| 27
| 3
| 17
| 9
| 0.947368
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
| 0
| 0
| 0.5
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
e77ac6e9dd78ee58e87f8404236d78438be50444
| 5,652
|
py
|
Python
|
tests/apps/orders/views/rest/test_order.py
|
leonardon473/my-dinner-backend
|
ae64fca37d102ce5bda7570be8680e03e9b142d8
|
[
"MIT"
] | null | null | null |
tests/apps/orders/views/rest/test_order.py
|
leonardon473/my-dinner-backend
|
ae64fca37d102ce5bda7570be8680e03e9b142d8
|
[
"MIT"
] | null | null | null |
tests/apps/orders/views/rest/test_order.py
|
leonardon473/my-dinner-backend
|
ae64fca37d102ce5bda7570be8680e03e9b142d8
|
[
"MIT"
] | null | null | null |
import pytest
from freezegun import freeze_time
from model_bakery import baker
from rest_framework.test import APIClient
from apps.users.models import Client, ClientAddress
from apps.menu.models import MenuItem, TypeOfCuisine
pytestmark = pytest.mark.django_db
order_in_available_time = freeze_time("2021-12-10 16:00 -06:00")
class TestCreateOrderView:
endpoint = "/orders/orders/"
def setup_method(self, method):
self.api_client = APIClient()
self.client = baker.make(Client)
self.client_address = baker.make(ClientAddress, client=self.client)
self.type_of_cuisine = baker.make(TypeOfCuisine)
# @order_in_available_time
# def test_repeated_elements_return_a_error(self):
# # Arrange
# menu_item_1 = baker.make(MenuItem, price="200.0")
# payload = {
# "order_menu_items": [
# {"menu_item": menu_item.menu_item_id, "quantity": 1},
# {"menu_item": menu_item.menu_item_id, "quantity": 1},
# ],
# "client": self.client.client_id,
# "client_address": self.client_address.client_address_id,
# }
# # Act
# response = self.api_client.post(self.endpoint, data=payload, format="json")
# # Assert
# data = response.json()
# assert response.status_code == 400
# assert isinstance(data, dict)
@order_in_available_time
def test_raise_error_with_less_than_two_order_menu_items(self):
# Arrange
menu_item_1 = baker.make(MenuItem, price="300.0")
payload = {
"order_menu_items": [
{"menu_item": menu_item_1.menu_item_id, "quantity": 2},
],
"client": self.client.client_id,
"client_address": self.client_address.client_address_id,
}
# Act
response = self.api_client.post(self.endpoint, data=payload, format="json")
# Assert
data = response.json()
assert response.status_code == 400
assert isinstance(data, dict)
assert "order_menu_items" in data
@order_in_available_time
def test_order_amounts(self):
# Arrange
menu_item_1 = baker.make(MenuItem, price="300.0")
menu_item_2 = baker.make(MenuItem, price="400.0")
payload = {
"order_menu_items": [
{"menu_item": menu_item_1.menu_item_id, "quantity": 2},
{"menu_item": menu_item_2.menu_item_id, "quantity": 1},
],
"client": self.client.client_id,
"client_address": self.client_address.client_address_id,
}
# Act
response = self.api_client.post(self.endpoint, data=payload, format="json")
# Assert
data = response.json()
assert response.status_code == 201
assert isinstance(data, dict)
assert data["total_amount"] == "1000.00"
assert data["order_menu_items"][0]["subtotal"] == "600.00"
assert data["order_menu_items"][1]["subtotal"] == "400.00"
@freeze_time("2021-12-10 15:59 -06:00")
def test_raise_error_time_less_than_unavailable_time(self):
# Arrange
menu_item_1 = baker.make(MenuItem, price="100.0")
menu_item_2 = baker.make(MenuItem, price="100.0")
payload = {
"order_menu_items": [
{"menu_item": menu_item_1.menu_item_id, "quantity": 1},
{"menu_item": menu_item_2.menu_item_id, "quantity": 1},
],
"client": self.client.client_id,
"client_address": self.client_address.client_address_id,
}
# Act
response = self.api_client.post(self.endpoint, data=payload, format="json")
# Assert
data = response.json()
assert response.status_code == 400
assert isinstance(data, dict)
assert "non_field_errors" in data
@freeze_time("2021-12-10 21:01 -06:00")
def test_raise_error_time_greater_than_unavailable_time(self):
# Arrange
menu_item_1 = baker.make(MenuItem, price="100.0")
menu_item_2 = baker.make(MenuItem, price="100.0")
payload = {
"order_menu_items": [
{"menu_item": menu_item_1.menu_item_id, "quantity": 1},
{"menu_item": menu_item_2.menu_item_id, "quantity": 1},
],
"client": self.client.client_id,
"client_address": self.client_address.client_address_id,
}
# Act
response = self.api_client.post(self.endpoint, data=payload, format="json")
# Assert
data = response.json()
assert response.status_code == 400
assert isinstance(data, dict)
assert "non_field_errors" in data
@order_in_available_time
def test_raise_error_for_incorrect_client_address(self):
# Arrange
random_client_address = baker.make(ClientAddress)
menu_item_1 = baker.make(MenuItem, price="100.0")
menu_item_2 = baker.make(MenuItem, price="100.0")
payload = {
"order_menu_items": [
{"menu_item": menu_item_1.menu_item_id, "quantity": 1},
{"menu_item": menu_item_2.menu_item_id, "quantity": 1},
],
"client": self.client.client_id,
"client_address": random_client_address.client_address_id,
}
# Act
response = self.api_client.post(self.endpoint, data=payload, format="json")
# Assert
data = response.json()
assert response.status_code == 400
assert isinstance(data, dict)
assert "client_address" in data
| 35.10559
| 85
| 0.61005
| 682
| 5,652
| 4.755132
| 0.14956
| 0.106075
| 0.048104
| 0.064138
| 0.80111
| 0.753623
| 0.729263
| 0.713845
| 0.671292
| 0.635831
| 0
| 0.037579
| 0.274947
| 5,652
| 160
| 86
| 35.325
| 0.753782
| 0.130396
| 0
| 0.643564
| 0
| 0
| 0.127716
| 0
| 0
| 0
| 0
| 0
| 0.168317
| 1
| 0.059406
| false
| 0
| 0.059406
| 0
| 0.138614
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
e77b0bd6c4722fc29482bf3caa76de5922f4f56f
| 22
|
py
|
Python
|
addition/addition.py
|
sowmiya710/squad-repo
|
e98b84e4c639fbae722fb35d547519e0afa5ea42
|
[
"MIT"
] | null | null | null |
addition/addition.py
|
sowmiya710/squad-repo
|
e98b84e4c639fbae722fb35d547519e0afa5ea42
|
[
"MIT"
] | null | null | null |
addition/addition.py
|
sowmiya710/squad-repo
|
e98b84e4c639fbae722fb35d547519e0afa5ea42
|
[
"MIT"
] | null | null | null |
a=10
b=100
print(a+b)
| 5.5
| 10
| 0.636364
| 7
| 22
| 2
| 0.714286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.263158
| 0.136364
| 22
| 3
| 11
| 7.333333
| 0.473684
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.333333
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
e7896d86f344070df70c32be1f1231821fbe8f71
| 96
|
py
|
Python
|
venv/lib/python3.8/site-packages/poetry/core/masonry/utils/include.py
|
GiulianaPola/select_repeats
|
17a0d053d4f874e42cf654dd142168c2ec8fbd11
|
[
"MIT"
] | 2
|
2022-03-13T01:58:52.000Z
|
2022-03-31T06:07:54.000Z
|
venv/lib/python3.8/site-packages/poetry/core/masonry/utils/include.py
|
DesmoSearch/Desmobot
|
b70b45df3485351f471080deb5c785c4bc5c4beb
|
[
"MIT"
] | 19
|
2021-11-20T04:09:18.000Z
|
2022-03-23T15:05:55.000Z
|
venv/lib/python3.8/site-packages/poetry/core/masonry/utils/include.py
|
DesmoSearch/Desmobot
|
b70b45df3485351f471080deb5c785c4bc5c4beb
|
[
"MIT"
] | null | null | null |
/home/runner/.cache/pip/pool/14/6a/45/959613aab7d0674a9eb24e47bacc8b7eaa8cef7583b8cdb8b75e967ae6
| 96
| 96
| 0.895833
| 9
| 96
| 9.555556
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.375
| 0
| 96
| 1
| 96
| 96
| 0.520833
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
e793fc42cbb732735bbe35aedeedfe58002c125f
| 411
|
py
|
Python
|
libra_client/lbrtypes/account_config/constants/account_limits.py
|
violas-core/violas-client
|
e8798f7d081ac218b78b81fd7eb2f8da92631a16
|
[
"MIT"
] | null | null | null |
libra_client/lbrtypes/account_config/constants/account_limits.py
|
violas-core/violas-client
|
e8798f7d081ac218b78b81fd7eb2f8da92631a16
|
[
"MIT"
] | null | null | null |
libra_client/lbrtypes/account_config/constants/account_limits.py
|
violas-core/violas-client
|
e8798f7d081ac218b78b81fd7eb2f8da92631a16
|
[
"MIT"
] | 1
|
2022-01-05T06:49:42.000Z
|
2022-01-05T06:49:42.000Z
|
from libra_client.move_core_types.language_storage import ModuleId, CORE_CODE_ADDRESS
ACCOUNT_LIMITS_MODULE_NAME = "AccountLimits"
ACCOUNT_LIMITS_MODULE = ModuleId(CORE_CODE_ADDRESS, ACCOUNT_LIMITS_MODULE_NAME)
ACCOUNT_LIMITS_WINDOW_STRUCT_NAME = "Window"
def account_limits_module_name():
return ACCOUNT_LIMITS_MODULE
def account_limits_window_struct_name():
return ACCOUNT_LIMITS_WINDOW_STRUCT_NAME
| 37.363636
| 85
| 0.873479
| 56
| 411
| 5.821429
| 0.375
| 0.319018
| 0.291411
| 0.211656
| 0.54908
| 0.282209
| 0.282209
| 0.282209
| 0
| 0
| 0
| 0
| 0.080292
| 411
| 11
| 86
| 37.363636
| 0.862434
| 0
| 0
| 0
| 0
| 0
| 0.046117
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.125
| 0.25
| 0.625
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 5
|
e7b7dae4f2a8fc0db62b2da35f37bdcca68122f3
| 472
|
py
|
Python
|
Solutions/Correlation does not imply causation.py
|
GuardsmanPanda/ProjectLovelace
|
50549114acfe98ae9511e3ec5d0e6c1335e30db9
|
[
"MIT"
] | null | null | null |
Solutions/Correlation does not imply causation.py
|
GuardsmanPanda/ProjectLovelace
|
50549114acfe98ae9511e3ec5d0e6c1335e30db9
|
[
"MIT"
] | null | null | null |
Solutions/Correlation does not imply causation.py
|
GuardsmanPanda/ProjectLovelace
|
50549114acfe98ae9511e3ec5d0e6c1335e30db9
|
[
"MIT"
] | null | null | null |
def mean(a): return sum(a)/len(a)
def std(a):
m = mean(a)
return (sum((x - m)**2 for x in a)/len(a))**0.5
def correlation_coefficient(x, y):
xm, ym = mean(x), mean(y)
return sum((x[i]-xm)*(y[i]-ym) for i in range(len(x)))/std(x)/std(y)/len(x)
print(correlation_coefficient([ 5427, 5688, 6198, 6462, 6635, 7336, 7248, 7491, 8161, 8578, 9000], [18.079, 18.594, 19.753, 20.734, 20.831, 23.029, 23.597, 23.584, 22.525, 27.731, 29.449]))
| 42.909091
| 210
| 0.57839
| 94
| 472
| 2.882979
| 0.542553
| 0.099631
| 0.081181
| 0.103321
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.269129
| 0.197034
| 472
| 11
| 210
| 42.909091
| 0.44591
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.375
| false
| 0
| 0
| 0.125
| 0.625
| 0.125
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
e7d71247f5b3ee35ad436b26c13ac12be749f785
| 116
|
py
|
Python
|
siswrapper/__init__.py
|
mario33881/siswrapper
|
c4d41c645c5f44c5d403751b312155e438fd36e2
|
[
"MIT"
] | 1
|
2022-03-25T00:07:54.000Z
|
2022-03-25T00:07:54.000Z
|
siswrapper/__init__.py
|
mario33881/siswrapper
|
c4d41c645c5f44c5d403751b312155e438fd36e2
|
[
"MIT"
] | 1
|
2021-01-03T16:49:01.000Z
|
2021-01-03T16:49:01.000Z
|
siswrapper/__init__.py
|
mario33881/siswrapper
|
c4d41c645c5f44c5d403751b312155e438fd36e2
|
[
"MIT"
] | 1
|
2022-03-25T00:08:00.000Z
|
2022-03-25T00:08:00.000Z
|
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from ._version import __version__
from .siswrapper import Siswrapper
| 23.2
| 34
| 0.732759
| 15
| 116
| 5.333333
| 0.733333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.019802
| 0.12931
| 116
| 4
| 35
| 29
| 0.772277
| 0.37069
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
82269d0245128111b697795df41df0785b757412
| 215
|
py
|
Python
|
Node.py
|
KubaWernerowski/Crimetrax
|
163493c3fe7c5113f058c05c0434ccc0762cf3c7
|
[
"MIT"
] | 1
|
2019-04-10T09:35:56.000Z
|
2019-04-10T09:35:56.000Z
|
Node.py
|
KubaWernerowski/Crimetrax
|
163493c3fe7c5113f058c05c0434ccc0762cf3c7
|
[
"MIT"
] | null | null | null |
Node.py
|
KubaWernerowski/Crimetrax
|
163493c3fe7c5113f058c05c0434ccc0762cf3c7
|
[
"MIT"
] | 1
|
2019-03-10T05:40:31.000Z
|
2019-03-10T05:40:31.000Z
|
class Node:
def __init__(self, x, y):
self.long = x
self.lat = y
self.neighbors = 0
def __str__(self):
return str(self.long) + "," + str(self.lat) + "," + str(self.neighbors)
| 26.875
| 79
| 0.530233
| 29
| 215
| 3.655172
| 0.448276
| 0.264151
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.006757
| 0.311628
| 215
| 8
| 79
| 26.875
| 0.709459
| 0
| 0
| 0
| 0
| 0
| 0.009259
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| false
| 0
| 0
| 0.142857
| 0.571429
| 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
| 1
| 0
| 0
|
0
| 5
|
4134f190fa86f6bd8cb1436e725d8ce17b16217b
| 212
|
py
|
Python
|
networks/dorn/dp/metircs/__init__.py
|
EvoCargo/mono_depth
|
3a77291a7fc8f3eaad5f93aa17e2b60c9339a0b1
|
[
"MIT"
] | null | null | null |
networks/dorn/dp/metircs/__init__.py
|
EvoCargo/mono_depth
|
3a77291a7fc8f3eaad5f93aa17e2b60c9339a0b1
|
[
"MIT"
] | 1
|
2021-06-09T12:56:47.000Z
|
2021-06-11T10:49:06.000Z
|
networks/dorn/dp/metircs/__init__.py
|
EvoCargo/mono_depth
|
3a77291a7fc8f3eaad5f93aa17e2b60c9339a0b1
|
[
"MIT"
] | null | null | null |
#!/usr/bin/python3
# -*- coding: utf-8 -*-
def build_metrics(cfg):
mod = __import__("{}.{}".format(__name__, "metrics"), fromlist=[''])
return getattr(mod, "Metrics")() # noqa
# return mod.Metrics
| 23.555556
| 72
| 0.599057
| 24
| 212
| 4.916667
| 0.75
| 0.169492
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.011364
| 0.169811
| 212
| 8
| 73
| 26.5
| 0.659091
| 0.29717
| 0
| 0
| 0
| 0
| 0.131034
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| 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
| 1
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
68e6b6e48ac94e4cbad24cbb210b8a90e5a9e591
| 81
|
py
|
Python
|
asset/test.py
|
745184532/cmdb
|
e8e983f83ac4f5120be88983bbb73f447bd375c4
|
[
"Apache-2.0"
] | 251
|
2018-03-19T15:41:50.000Z
|
2022-02-24T03:28:44.000Z
|
asset/test.py
|
mrpal39/chain
|
169f810551a8355579d3cef670ecf88942478a05
|
[
"Apache-2.0"
] | 18
|
2018-04-20T06:31:16.000Z
|
2022-03-11T23:28:33.000Z
|
asset/test.py
|
mrpal39/chain
|
169f810551a8355579d3cef670ecf88942478a05
|
[
"Apache-2.0"
] | 167
|
2018-03-20T02:04:00.000Z
|
2021-08-05T07:30:34.000Z
|
import time
print(time.strftime('%Y-%m-%d %H:%M:%S',time.localtime(time.time())))
| 40.5
| 69
| 0.666667
| 15
| 81
| 3.6
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.037037
| 81
| 2
| 69
| 40.5
| 0.692308
| 0
| 0
| 0
| 0
| 0
| 0.207317
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0.5
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
|
0
| 5
|
68f3f947c432175106cbebe90744b3bdd9075594
| 103
|
wsgi
|
Python
|
bondora/hooks/hooks.wsgi
|
goddisignz/bondora
|
5a07c434821853bcff956e82c75b4e093698407f
|
[
"MIT"
] | null | null | null |
bondora/hooks/hooks.wsgi
|
goddisignz/bondora
|
5a07c434821853bcff956e82c75b4e093698407f
|
[
"MIT"
] | null | null | null |
bondora/hooks/hooks.wsgi
|
goddisignz/bondora
|
5a07c434821853bcff956e82c75b4e093698407f
|
[
"MIT"
] | 1
|
2021-08-08T15:14:04.000Z
|
2021-08-08T15:14:04.000Z
|
import sys
sys.path.insert(0, '/var/www/flask/bondora/hooks/')
from listener import app as application
| 25.75
| 51
| 0.776699
| 17
| 103
| 4.705882
| 0.882353
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.010753
| 0.097087
| 103
| 3
| 52
| 34.333333
| 0.849462
| 0
| 0
| 0
| 0
| 0
| 0.281553
| 0.281553
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
6b5ed27232975cb2be59d057d3e3924c918439df
| 260
|
py
|
Python
|
recipe/import_test.py
|
regro-cf-autotick-bot/yeadon-feedstock
|
d7afede10dae5a3a7394797710ade91df029d3c1
|
[
"BSD-3-Clause"
] | 22
|
2015-01-24T20:22:42.000Z
|
2022-02-06T18:07:57.000Z
|
recipe/import_test.py
|
regro-cf-autotick-bot/yeadon-feedstock
|
d7afede10dae5a3a7394797710ade91df029d3c1
|
[
"BSD-3-Clause"
] | 19
|
2015-02-09T22:33:12.000Z
|
2021-02-09T17:41:01.000Z
|
recipe/import_test.py
|
regro-cf-autotick-bot/yeadon-feedstock
|
d7afede10dae5a3a7394797710ade91df029d3c1
|
[
"BSD-3-Clause"
] | 5
|
2015-11-10T13:45:48.000Z
|
2018-07-28T15:36:38.000Z
|
import yeadon
import yeadon.exceptions
import yeadon.human
import yeadon.inertia
import yeadon.segment
import yeadon.solid
import yeadon.ui
import yeadon.utils
import yeadon.tests
try:
import yeadon.gui
except ImportError: # mayavi not installed
pass
| 18.571429
| 43
| 0.811538
| 36
| 260
| 5.861111
| 0.5
| 0.56872
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142308
| 260
| 13
| 44
| 20
| 0.946188
| 0.076923
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.076923
| 0.846154
| 0
| 0.846154
| 0
| 0
| 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
| 0
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 5
|
6b639c93bd8a5a226b15e363b8ef9a4d15085d93
| 212
|
py
|
Python
|
core/__init__.py
|
BenSmithers/MultiHex2
|
3a241d7b6e8681b56ac8f6dcc7f707bed47420ea
|
[
"MIT"
] | null | null | null |
core/__init__.py
|
BenSmithers/MultiHex2
|
3a241d7b6e8681b56ac8f6dcc7f707bed47420ea
|
[
"MIT"
] | null | null | null |
core/__init__.py
|
BenSmithers/MultiHex2
|
3a241d7b6e8681b56ac8f6dcc7f707bed47420ea
|
[
"MIT"
] | null | null | null |
from .coordinates import HexID, hex_to_screen, screen_to_hex
from .core import Hex,Region, Catalog, RegionCatalog, EntityCatalog
from .map_entities import Entity, Government, Settlement
from .core import DRAWSIZE
| 53
| 67
| 0.839623
| 29
| 212
| 5.965517
| 0.62069
| 0.092486
| 0.16185
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.103774
| 212
| 4
| 68
| 53
| 0.910526
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
6b657280c2e514b8b1d7b6d15bb032477b4a674a
| 237
|
py
|
Python
|
sort_teams.py
|
jhallman5/fencing_tournament
|
a9b6f01ef505013c64cdddcd26a1234204b0b971
|
[
"MIT"
] | null | null | null |
sort_teams.py
|
jhallman5/fencing_tournament
|
a9b6f01ef505013c64cdddcd26a1234204b0b971
|
[
"MIT"
] | null | null | null |
sort_teams.py
|
jhallman5/fencing_tournament
|
a9b6f01ef505013c64cdddcd26a1234204b0b971
|
[
"MIT"
] | null | null | null |
import sys
import csv
from linked_list import Node, Linked_List
from model import create_linked_list, determine_num_pools, create_init_pools
LL = create_linked_list()
num_pools = determine_num_pools(LL)
create_init_pools(LL, num_pools)
| 26.333333
| 76
| 0.848101
| 39
| 237
| 4.74359
| 0.358974
| 0.216216
| 0.172973
| 0.183784
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.101266
| 237
| 8
| 77
| 29.625
| 0.868545
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.571429
| 0
| 0.571429
| 0
| 0
| 0
| 0
| null | 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
6b858f68fe3fcf4abb727bbcd46b45dd95d7c079
| 3,890
|
py
|
Python
|
pySDC/tests/test_Q_transfer.py
|
janEbert/pySDC
|
167d78c4118bc3a5a446ec973fe65fb35db94471
|
[
"BSD-2-Clause"
] | null | null | null |
pySDC/tests/test_Q_transfer.py
|
janEbert/pySDC
|
167d78c4118bc3a5a446ec973fe65fb35db94471
|
[
"BSD-2-Clause"
] | null | null | null |
pySDC/tests/test_Q_transfer.py
|
janEbert/pySDC
|
167d78c4118bc3a5a446ec973fe65fb35db94471
|
[
"BSD-2-Clause"
] | 1
|
2021-07-27T11:44:54.000Z
|
2021-07-27T11:44:54.000Z
|
import nose
import numpy as np
from numpy.polynomial.polynomial import polyval
import pySDC.helpers.transfer_helper as th
from pySDC.core.Collocation import CollBase
from pySDC.tests.test_helpers import get_derived_from_in_package
classes = []
def setup():
global classes, t_start, t_end
# generate random boundaries for the time slice with 0.0 <= t_start < 0.2 and 0.8 <= t_end < 1.0
t_start = np.random.rand(1) * 0.2
t_end = 0.8 + np.random.rand(1) * 0.2
classes = get_derived_from_in_package(CollBase, 'pySDC/implementations/collocation_classes')
@nose.tools.with_setup(setup)
def test_Q_transfer():
for collclass in classes:
yield check_Q_transfer, collclass
def check_Q_transfer(collclass):
"""
A simple test program to check the order of the Q interpolation/restriction
"""
for M in range(3, 9):
Mfine = M
Mcoarse = int((Mfine+1)/2.0)
coll_fine = collclass(Mfine, 0, 1)
coll_coarse = collclass(Mcoarse, 0, 1)
assert coll_fine.left_is_node == coll_coarse.left_is_node, 'ERROR: should be using the same class for coarse and fine Q'
fine_grid = coll_fine.nodes
coarse_grid = coll_coarse.nodes
for order in range(2,coll_coarse.num_nodes+1):
Pcoll = th.interpolation_matrix_1d(fine_grid, coarse_grid, k=order, pad=0, equidist_nested=False)
Rcoll = th.restriction_matrix_1d(fine_grid, coarse_grid, k=order, pad=0)
for polyorder in range(1,order+2):
coeff = np.random.rand(polyorder)
ufine = polyval(fine_grid,coeff)
ucoarse = polyval(coarse_grid,coeff)
uinter = Pcoll.dot(ucoarse)
urestr = Rcoll.dot(ufine)
err_inter = np.linalg.norm(uinter-ufine, np.inf)
err_restr = np.linalg.norm(urestr-ucoarse, np.inf)
if polyorder <= order:
assert err_inter < 2E-15, "ERROR: Q-interpolation order is not reached, got %s" %err_inter
assert err_restr < 2E-15, "ERROR: Q-restriction order is not reached, got %s" % err_restr
else:
assert err_inter > 2E-15, "ERROR: Q-interpolation order is higher than expected, got %s" % polyorder
@nose.tools.with_setup(setup)
def test_Q_transfer_minimal():
for collclass in classes:
yield check_Q_transfer_minimal, collclass
def check_Q_transfer_minimal(collclass):
"""
A simple test program to check the order of the Q interpolation/restriction for only 2 coarse nodes
"""
Mcoarse = 2
coll_coarse = collclass(Mcoarse, 0, 1)
for M in range(3, 9):
Mfine = M
coll_fine = collclass(Mfine, 0, 1)
assert coll_fine.left_is_node == coll_coarse.left_is_node, 'ERROR: should be using the same class for coarse and fine Q'
fine_grid = coll_fine.nodes
coarse_grid = coll_coarse.nodes
Pcoll = th.interpolation_matrix_1d(fine_grid, coarse_grid, k=2, pad=0, equidist_nested=False)
Rcoll = th.restriction_matrix_1d(fine_grid, coarse_grid, k=2, pad=0)
for polyorder in range(1,3):
coeff = np.random.rand(polyorder)
ufine = polyval(fine_grid,coeff)
ucoarse = polyval(coarse_grid,coeff)
uinter = Pcoll.dot(ucoarse)
urestr = Rcoll.dot(ufine)
err_inter = np.linalg.norm(uinter-ufine, np.inf)
err_restr = np.linalg.norm(urestr-ucoarse, np.inf)
if polyorder <= 2:
assert err_inter < 2E-15, "ERROR: Q-interpolation order is not reached, got %s" %err_inter
assert err_restr < 2E-15, "ERROR: Q-restriction order is not reached, got %s" % err_restr
else:
assert err_inter > 2E-15, "ERROR: Q-interpolation order is higher than expected, got %s" % polyorder
| 36.35514
| 128
| 0.646015
| 556
| 3,890
| 4.347122
| 0.206835
| 0.026479
| 0.022342
| 0.024824
| 0.819611
| 0.773273
| 0.719487
| 0.702938
| 0.655358
| 0.623086
| 0
| 0.023743
| 0.263753
| 3,890
| 107
| 129
| 36.35514
| 0.820182
| 0.069666
| 0
| 0.57971
| 0
| 0
| 0.133463
| 0.011424
| 0
| 0
| 0
| 0
| 0.115942
| 1
| 0.072464
| false
| 0
| 0.086957
| 0
| 0.15942
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
6b944d11c3d35c2f049ce31bda7f461e5d71d9fc
| 806
|
py
|
Python
|
client/python/ProjectName/Client/__init__.py
|
KaNaDaAT/java-spring-template
|
451bb58563bfcdbc3fe735f2e95ea52a3cf9e76e
|
[
"Unlicense"
] | null | null | null |
client/python/ProjectName/Client/__init__.py
|
KaNaDaAT/java-spring-template
|
451bb58563bfcdbc3fe735f2e95ea52a3cf9e76e
|
[
"Unlicense"
] | 70
|
2021-11-03T11:38:21.000Z
|
2022-03-31T16:23:30.000Z
|
client/python/ProjectName/Client/__init__.py
|
KaNaDaAT/java-spring-template
|
451bb58563bfcdbc3fe735f2e95ea52a3cf9e76e
|
[
"Unlicense"
] | 1
|
2021-11-11T13:06:13.000Z
|
2021-11-11T13:06:13.000Z
|
# flake8: noqa
"""
OpenAPI definition
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
The version of the OpenAPI document: v0
Generated by: https://openapi-generator.tech
"""
__version__ = "0.1.0"
# import ApiClient
from ProjectName.Client.api_client import ApiClient
# import Configuration
from ProjectName.Client.configuration import Configuration
# import exceptions
from ProjectName.Client.exceptions import OpenApiException
from ProjectName.Client.exceptions import ApiAttributeError
from ProjectName.Client.exceptions import ApiTypeError
from ProjectName.Client.exceptions import ApiValueError
from ProjectName.Client.exceptions import ApiKeyError
from ProjectName.Client.exceptions import ApiException
| 28.785714
| 124
| 0.817618
| 91
| 806
| 7.186813
| 0.406593
| 0.183486
| 0.256881
| 0.284404
| 0.33945
| 0
| 0
| 0
| 0
| 0
| 0
| 0.011284
| 0.120347
| 806
| 27
| 125
| 29.851852
| 0.911142
| 0.367246
| 0
| 0
| 1
| 0
| 0.010352
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.888889
| 0
| 0.888889
| 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
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
6ba120e543e5b432863932094976c97f7397b363
| 159
|
py
|
Python
|
indy_node/server/req_handlers/read_req_handlers/get_revoc_reg_handler.py
|
rantwijk/indy-node
|
3cb77dab5482c8b721535020fec41506de819d2e
|
[
"Apache-2.0"
] | null | null | null |
indy_node/server/req_handlers/read_req_handlers/get_revoc_reg_handler.py
|
rantwijk/indy-node
|
3cb77dab5482c8b721535020fec41506de819d2e
|
[
"Apache-2.0"
] | null | null | null |
indy_node/server/req_handlers/read_req_handlers/get_revoc_reg_handler.py
|
rantwijk/indy-node
|
3cb77dab5482c8b721535020fec41506de819d2e
|
[
"Apache-2.0"
] | null | null | null |
from plenum.server.request_handlers.handler_interfaces.read_request_handler import ReadRequestHandler
class GetRevocRegHandler(ReadRequestHandler):
pass
| 26.5
| 101
| 0.874214
| 16
| 159
| 8.4375
| 0.8125
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.081761
| 159
| 5
| 102
| 31.8
| 0.924658
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.333333
| 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
| 1
| 1
| 1
| 0
| 0
| 0
|
0
| 5
|
6bced17d8d34d40c6e36bbbfbcf9f9f00fa12417
| 362
|
py
|
Python
|
1556_thousand_separator.py
|
claytonjwong/leetcode-py
|
16bbf8ac0ba5c80fe3ef67ade0d61a12991270a7
|
[
"MIT"
] | 1
|
2020-07-15T14:16:23.000Z
|
2020-07-15T14:16:23.000Z
|
1556_thousand_separator.py
|
claytonjwong/leetcode-py
|
16bbf8ac0ba5c80fe3ef67ade0d61a12991270a7
|
[
"MIT"
] | null | null | null |
1556_thousand_separator.py
|
claytonjwong/leetcode-py
|
16bbf8ac0ba5c80fe3ef67ade0d61a12991270a7
|
[
"MIT"
] | null | null | null |
#
# 1556. Thousand Separator
#
# Q: https://leetcode.com/problems/thousand-separator/
# A: https://leetcode.com/problems/thousand-separator/discuss/805674/Javascript-Python3-C%2B%2B-1-Liners
#
class Solution:
def thousandSeparator(self, n: int) -> str:
return str(n) if n < 1000 else self.thousandSeparator(n // 1000) + '.' + str(n % 1000).zfill(3)
| 32.909091
| 104
| 0.696133
| 50
| 362
| 5.04
| 0.62
| 0.202381
| 0.126984
| 0.190476
| 0.325397
| 0.325397
| 0
| 0
| 0
| 0
| 0
| 0.086538
| 0.138122
| 362
| 10
| 105
| 36.2
| 0.721154
| 0.497238
| 0
| 0
| 0
| 0
| 0.005714
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0.333333
| 1
| 0
| 0
| 0
| 0
| null | 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
6bfd4fa6fac36bb502e751462754bbaace7de341
| 50
|
py
|
Python
|
relevanceai/dataset/write/__init__.py
|
RelevanceAI/RelevanceAI
|
a0542f35153d9c842f3d2cd0955d6b07f6dfc07b
|
[
"Apache-2.0"
] | 21
|
2021-11-23T13:01:36.000Z
|
2022-03-23T03:45:30.000Z
|
relevanceai/dataset/write/__init__.py
|
RelevanceAI/RelevanceAI
|
a0542f35153d9c842f3d2cd0955d6b07f6dfc07b
|
[
"Apache-2.0"
] | 217
|
2021-11-23T00:11:01.000Z
|
2022-03-30T08:11:49.000Z
|
relevanceai/dataset/write/__init__.py
|
RelevanceAI/RelevanceAI
|
a0542f35153d9c842f3d2cd0955d6b07f6dfc07b
|
[
"Apache-2.0"
] | 4
|
2022-01-04T01:48:30.000Z
|
2022-02-11T03:19:32.000Z
|
from relevanceai.dataset.write.write import Write
| 25
| 49
| 0.86
| 7
| 50
| 6.142857
| 0.714286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.08
| 50
| 1
| 50
| 50
| 0.934783
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
d46738cd45108b90149ea5ec6563baa5baf51d27
| 5,232
|
py
|
Python
|
pepdb/core/migrations/0005_auto_20150311_0025.py
|
dchaplinsky/pep.org.ua
|
8633a65fb657d7f04dbdb12eb8ae705fa6be67e3
|
[
"MIT"
] | 7
|
2015-12-21T03:52:46.000Z
|
2020-07-24T19:17:23.000Z
|
pepdb/core/migrations/0005_auto_20150311_0025.py
|
dchaplinsky/pep.org.ua
|
8633a65fb657d7f04dbdb12eb8ae705fa6be67e3
|
[
"MIT"
] | 12
|
2016-03-05T18:11:05.000Z
|
2021-06-17T20:20:03.000Z
|
pepdb/core/migrations/0005_auto_20150311_0025.py
|
dchaplinsky/pep.org.ua
|
8633a65fb657d7f04dbdb12eb8ae705fa6be67e3
|
[
"MIT"
] | 4
|
2016-07-17T20:19:38.000Z
|
2021-03-23T12:47:20.000Z
|
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('core', '0004_auto_20150227_0258'),
]
operations = [
migrations.CreateModel(
name='Company2Country',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('date_established', models.DateField(null=True, verbose_name="\u041a\u043e\u043b\u0438 \u043f\u043e\u0447\u0430\u0432\u0441\u044f \u0437\u0432'\u044f\u0437\u043e\u043a", blank=True)),
('date_finished', models.DateField(null=True, verbose_name="\u041a\u043e\u043b\u0438 \u0441\u043a\u0456\u043d\u0447\u0438\u0432\u0441\u044f \u0437\u0432'\u044f\u0437\u043e\u043a", blank=True)),
('proof_title', models.CharField(help_text='\u041d\u0430\u043f\u0440\u0438\u043a\u043b\u0430\u0434: \u0432\u0438\u0442\u044f\u0433', max_length=100, verbose_name="\u041d\u0430\u0437\u0432\u0430 \u0434\u043e\u043a\u0430\u0437\u0443 \u0437\u0432'\u044f\u0437\u043a\u0443", blank=True)),
('proof', models.URLField(verbose_name="\u041f\u043e\u0441\u0438\u043b\u0430\u043d\u043d\u044f \u043d\u0430 \u0434\u043e\u043a\u0430\u0437 \u0437\u0432'\u044f\u0437\u043a\u0443", blank=True)),
('relationship_type', models.CharField(max_length=30, verbose_name="\u0422\u0438\u043f \u0437\u0432'\u044f\u0437\u043a\u0443", choices=[('registered_in', '\u0417\u0430\u0440\u0435\u0454\u0441\u0442\u0440\u043e\u0432\u0430\u043d\u0430')])),
('from_company', models.ForeignKey(verbose_name='\u041a\u043e\u043c\u043f\u0430\u043d\u0456\u044f', to='core.Company')),
('to_country', models.ForeignKey(verbose_name='\u041a\u0440\u0430\u0457\u043d\u0430', to='core.Country')),
],
options={
'verbose_name': "\u0417\u0432'\u044f\u0437\u043e\u043a \u0437 \u043a\u0440\u0430\u0457\u043d\u043e\u044e",
'verbose_name_plural': "\u0417\u0432'\u044f\u0437\u043a\u0438 \u0437 \u043a\u0440\u0430\u0457\u043d\u0430\u043c\u0438",
},
bases=(models.Model,),
),
migrations.AddField(
model_name='document',
name='name_en',
field=models.CharField(max_length=255, null=True, verbose_name='\u041b\u044e\u0434\u0441\u044c\u043a\u0430 \u043d\u0430\u0437\u0432\u0430'),
preserve_default=True,
),
migrations.AddField(
model_name='document',
name='name_ua',
field=models.CharField(max_length=255, null=True, verbose_name='\u041b\u044e\u0434\u0441\u044c\u043a\u0430 \u043d\u0430\u0437\u0432\u0430'),
preserve_default=True,
),
migrations.AlterField(
model_name='company',
name='other_founders',
field=models.TextField(help_text='\u0427\u0435\u0440\u0435\u0437 \u043a\u043e\u043c\u0443, \u043d\u0435 PEP', verbose_name='\u0406\u043d\u0448\u0456 \u0437\u0430\u0441\u043d\u043e\u0432\u043d\u0438\u043a\u0438', blank=True),
preserve_default=True,
),
migrations.AlterField(
model_name='company',
name='other_managers',
field=models.TextField(help_text='\u0427\u0435\u0440\u0435\u0437 \u043a\u043e\u043c\u0443, \u043d\u0435 PEP', verbose_name='\u0406\u043d\u0448\u0456 \u043a\u0435\u0440\u0443\u044e\u0447\u0456', blank=True),
preserve_default=True,
),
migrations.AlterField(
model_name='company',
name='other_owners',
field=models.TextField(help_text='\u0427\u0435\u0440\u0435\u0437 \u043a\u043e\u043c\u0443, \u043d\u0435 PEP', verbose_name='\u0406\u043d\u0448\u0456 \u0432\u043b\u0430\u0441\u043d\u0438\u043a\u0438', blank=True),
preserve_default=True,
),
migrations.AlterField(
model_name='company2company',
name='relationship_type',
field=models.CharField(blank=True, max_length=30, verbose_name="\u0422\u0438\u043f \u0437\u0432'\u044f\u0437\u043a\u0443", choices=[('\u0412\u043b\u0430\u0441\u043d\u0438\u043a', '\u0412\u043b\u0430\u0441\u043d\u0438\u043a'), ('\u0421\u043f\u0456\u0432\u0432\u043b\u0430\u0441\u043d\u0438\u043a', '\u0421\u043f\u0456\u0432\u0432\u043b\u0430\u0441\u043d\u0438\u043a'), ('\u0421\u043f\u043e\u0440\u0456\u0434\u043d\u0435\u043d\u0430', '\u0421\u043f\u043e\u0440\u0456\u0434\u043d\u0435\u043d\u0430'), ('\u041a\u0440\u0435\u0434\u0438\u0442\u043e\u0440 (\u0444\u0456\u043d\u0430\u043d\u0441\u043e\u0432\u0438\u0439 \u043f\u0430\u0440\u0442\u043d\u0435\u0440)', '\u041a\u0440\u0435\u0434\u0438\u0442\u043e\u0440 (\u0444\u0456\u043d\u0430\u043d\u0441\u043e\u0432\u0438\u0439 \u043f\u0430\u0440\u0442\u043d\u0435\u0440)'), ('\u041d\u0430\u0434\u0430\u0432\u0430\u0447 \u043f\u0440\u043e\u0444\u0435\u0441\u0456\u0439\u043d\u0438\u0445 \u043f\u043e\u0441\u043b\u0443\u0433', '\u041d\u0430\u0434\u0430\u0432\u0430\u0447 \u043f\u0440\u043e\u0444\u0435\u0441\u0456\u0439\u043d\u0438\u0445 \u043f\u043e\u0441\u043b\u0443\u0433')]),
preserve_default=True,
),
]
| 75.826087
| 1,131
| 0.681766
| 661
| 5,232
| 5.304085
| 0.177005
| 0.0502
| 0.034227
| 0.034227
| 0.700513
| 0.666572
| 0.632345
| 0.593554
| 0.571306
| 0.571306
| 0
| 0.346198
| 0.158066
| 5,232
| 68
| 1,132
| 76.941176
| 0.449716
| 0.004014
| 0
| 0.419355
| 0
| 0.354839
| 0.54713
| 0.462469
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.032258
| 0
| 0.080645
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
| 1
| 0
| 0
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| 0
| 0
| 0
|
0
| 5
|
d48595ffac76d11d43b13a1fd4cafc84b40c6685
| 16,130
|
py
|
Python
|
cnn_model/unet.py
|
WangSong960913/CraterDetection
|
9d78311eacb7cfa0e1934e796ff15a7698d93427
|
[
"MIT"
] | 5
|
2019-11-22T08:19:15.000Z
|
2021-04-26T14:05:00.000Z
|
cnn_model/unet.py
|
WangSong960913/CraterDetection
|
9d78311eacb7cfa0e1934e796ff15a7698d93427
|
[
"MIT"
] | 10
|
2020-01-28T22:18:19.000Z
|
2022-03-12T00:05:57.000Z
|
cnn_model/unet.py
|
WangSong960913/CraterDetection
|
9d78311eacb7cfa0e1934e796ff15a7698d93427
|
[
"MIT"
] | 1
|
2021-02-26T01:14:35.000Z
|
2021-02-26T01:14:35.000Z
|
from keras.models import Model
from keras.optimizers import Adam, SGD
from keras.layers.core import Dropout, Reshape
from keras.layers import PReLU, Conv2DTranspose
from keras.layers import Input, Dense, Dropout, LeakyReLU, BatchNormalization, Conv2D, MaxPooling2D, AveragePooling2D, \
concatenate, Activation, ZeroPadding2D
from keras.layers import add, Flatten
from keras.losses import mean_squared_error, binary_crossentropy, sparse_categorical_crossentropy
from keras import losses
import keras.backend as K
import numpy as np
from keras.regularizers import l2
# Check Keras version - code will switch API if needed.
from keras import __version__ as keras_version
k2 = True if keras_version[0] == '2' else False
# If Keras is v2.x.x, create Keras 1-syntax wrappers.
if not k2:
from keras.layers import merge, Input
from keras.layers.convolutional import (Convolution2D, MaxPooling2D,
UpSampling2D)
else:
from keras.layers import Concatenate, Input
from keras.layers.convolutional import (Conv2D, MaxPooling2D,
UpSampling2D)
def merge(layers, mode=None, concat_axis=None):
"""Wrapper for Keras 2's Concatenate class (`mode` is discarded)."""
return Concatenate(axis=concat_axis)(list(layers))
def Convolution2D(n_filters, FL, FLredundant, activation=None,
init=None, W_regularizer=None, border_mode=None):
"""Wrapper for Keras 2's Conv2D class."""
return Conv2D(n_filters, FL, activation=activation,
kernel_initializer=init,
kernel_regularizer=W_regularizer,
padding=border_mode)
def Conv(x, out_channels, dilation_rate=(1, 1)):
return Conv2D(out_channels, kernel_size=(3, 3), strides=(1, 1), dilation_rate=dilation_rate, padding='same')(x)
def UpConv(x, out_channels):
return Conv2DTranspose(out_channels, kernel_size=(3, 3), strides=(2, 2), padding='same', output_padding=(1, 1))(x)
def BN_Conv_Relu(x, out_channels, dilation_rate=(1, 1)):
x = BatchNormalization(axis=3, momentum=0.01)(x)
x = Conv2D(out_channels, kernel_size=(3, 3), strides=(1, 1), dilation_rate=dilation_rate, padding='same')(x)
x = ReLU()(x)
return x
def BN_UpConv_Relu(x, out_channels):
x = BatchNormalization(axis=3, momentum=0.01)(x)
x = UpConv(x, out_channels)
x = Activation('relu')(x)
return x
def ConvOut(x):
return Conv2D(1, kernel_size=(1, 1), strides=(1, 1), padding='valid')(x)
def unet_pooling_3(dim,start_filter,lr=0.0001):
inpt = Input(batch_shape=(None, dim, dim, 1))
BCR3 = BN_Conv_Relu(inpt, start_filter) # BUCR40
BCR4 = BN_Conv_Relu(BCR3, start_filter)
MP5 = MaxPooling2D(pool_size=(2, 2), strides=(2, 2), padding='valid')(BCR4)
BCR6 = BN_Conv_Relu(MP5, start_filter*2)
BCR7 = BN_Conv_Relu(BCR6, start_filter*2) # BUCR36
BCR8 = BN_Conv_Relu(BCR7, start_filter*2)
MP9 = MaxPooling2D(pool_size=(2, 2), strides=(2, 2), padding='valid')(BCR8)
BCR10 = BN_Conv_Relu(MP9, start_filter*4)
BCR11 = BN_Conv_Relu(BCR10, start_filter*4) # BUCR32
BCR12 = BN_Conv_Relu(BCR11, start_filter*4)
MP13 = MaxPooling2D(pool_size=(2, 2), strides=(2, 2), padding='valid')(BCR12)
BCR30 = BN_Conv_Relu(MP13, start_filter*4)
BCR31 = BN_Conv_Relu(BCR30, start_filter*4)
BUCR32 = BN_UpConv_Relu(BCR31, start_filter*4) # BCR11
Add33 = add([BUCR32, BCR11])
BCR34 = BN_Conv_Relu(Add33, start_filter*4)
BCR35 = BN_Conv_Relu(BCR34, start_filter*4)
BUCR36 = BN_UpConv_Relu(BCR35, start_filter*2) # BCR7
Add37 = add([BUCR36, BCR7])
BCR38 = BN_Conv_Relu(Add37, start_filter*2)
BCR39 = BN_Conv_Relu(BCR38, start_filter*2)
BUCR40 = BN_UpConv_Relu(BCR39, start_filter) # BCR3
Add41 = add([BUCR40, BCR3])
BCR42 = BN_Conv_Relu(Add41, start_filter)
BCR43 = BN_Conv_Relu(BCR42, start_filter)
CO44 = ConvOut(BCR43)
out = Conv2D(1, 1, activation='sigmoid', padding='same')(CO44)
out = Reshape((dim, dim))(out)
model = Model(inputs=inpt, outputs=out) # convd2d
optimizer = Adam(lr=lr)
model.compile(loss='binary_crossentropy', metrics=['binary_accuracy'], optimizer=optimizer)
model.summary()
return model
#Ari Silburt's UNet for Carter decter
def unet(dim, learn_rate, lmbda, drop, FL, init, n_filters):
"""Function that builds the (UNET) convolutional neural network.
Parameters
----------
dim : int
Dimension of input images (assumes square).
learn_rate : float
Learning rate.
lmbda : float
Convolution2D regularization parameter.
drop : float
Dropout fraction.
FL : int
Filter length.
init : string
Weight initialization type.
n_filters : int
Number of filters in each layer.
Returns
-------
model : keras model object
Constructed Keras model.
"""
print('Making UNET model...')
img_input = Input(batch_shape=(None, dim, dim, 1))
a1 = Convolution2D(n_filters, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(img_input)
a1 = Convolution2D(n_filters, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(a1)
a1P = MaxPooling2D((2, 2), strides=(2, 2))(a1)
a2 = Convolution2D(n_filters * 2, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(a1P)
a2 = Convolution2D(n_filters * 2, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(a2)
a2P = MaxPooling2D((2, 2), strides=(2, 2))(a2)
a3 = Convolution2D(n_filters * 4, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(a2P)
a3 = Convolution2D(n_filters * 4, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(a3)
a3P = MaxPooling2D((2, 2), strides=(2, 2), )(a3)
u = Convolution2D(n_filters * 4, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(a3P)
u = Convolution2D(n_filters * 4, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(u)
u = UpSampling2D((2, 2))(u)
u = merge((a3, u), mode='concat', concat_axis=3)
u = Dropout(drop)(u)
u = Convolution2D(n_filters * 2, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(u)
u = Convolution2D(n_filters * 2, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(u)
u = UpSampling2D((2, 2))(u)
u = merge((a2, u), mode='concat', concat_axis=3)
u = Dropout(drop)(u)
u = Convolution2D(n_filters, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(u)
u = Convolution2D(n_filters, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(u)
u = UpSampling2D((2, 2))(u)
u = merge((a1, u), mode='concat', concat_axis=3)
u = Dropout(drop)(u)
u = Convolution2D(n_filters, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(u)
u = Convolution2D(n_filters, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(u)
# Final output
final_activation = 'sigmoid'
u = Convolution2D(1, 1, 1, activation=final_activation, init=init,
W_regularizer=l2(lmbda), border_mode='same')(u)
u = Reshape((dim, dim))(u)
if k2:
model = Model(inputs=img_input, outputs=u)
else:
model = Model(input=img_input, output=u)
optimizer = Adam(lr=learn_rate)
model.compile(loss='binary_crossentropy',metrics=['binary_accuracy'], optimizer=optimizer)
print(model.summary())
return model
def unet_ConvT(dim, learn_rate, lmbda, drop, FL, init, n_filters):
"""Function that builds the (UNET) convolutional neural network.
Parameters
----------
dim : int
Dimension of input images (assumes square).
learn_rate : float
Learning rate.
lmbda : float
Convolution2D regularization parameter.
drop : float
Dropout fraction.
FL : int
Filter length.
init : string
Weight initialization type.
n_filters : int
Number of filters in each layer.
Returns
-------
model : keras model object
Constructed Keras model.
"""
print('Making UNET model...')
img_input = Input(batch_shape=(None, dim, dim, 1))
a1 = Convolution2D(n_filters, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(img_input)
a1 = Convolution2D(n_filters, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(a1)
a1P = MaxPooling2D((2, 2), strides=(2, 2))(a1)
a2 = Convolution2D(n_filters * 2, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(a1P)
a2 = Convolution2D(n_filters * 2, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(a2)
a2P = MaxPooling2D((2, 2), strides=(2, 2))(a2)
a3 = Convolution2D(n_filters * 4, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(a2P)
a3 = Convolution2D(n_filters * 4, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(a3)
a3P = MaxPooling2D((2, 2), strides=(2, 2), )(a3)
u = Convolution2D(n_filters * 4, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(a3P)
u = Convolution2D(n_filters * 4, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(u)
u = Conv2DTranspose(n_filters * 4, (3, 3), strides=(2, 2), padding="same")(u)
u = merge((a3, u), mode='concat', concat_axis=3)
u = Dropout(drop)(u)
u = Convolution2D(n_filters * 2, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(u)
u = Convolution2D(n_filters * 2, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(u)
u = Conv2DTranspose(n_filters* 2, (3, 3), strides=(2, 2), padding="same")(u)
u = merge((a2, u), mode='concat', concat_axis=3)
u = Dropout(drop)(u)
u = Convolution2D(n_filters, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(u)
u = Convolution2D(n_filters, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(u)
u = Conv2DTranspose(n_filters, (3, 3), strides=(2, 2), padding="same")(u)
u = merge((a1, u), mode='concat', concat_axis=3)
u = Dropout(drop)(u)
u = Convolution2D(n_filters, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(u)
u = Convolution2D(n_filters, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(u)
# Final output
final_activation = 'sigmoid'
u = Convolution2D(1, 1, 1, activation=final_activation, init=init,
W_regularizer=l2(lmbda), border_mode='same')(u)
u = Reshape((dim, dim))(u)
if k2:
model = Model(inputs=img_input, outputs=u)
else:
model = Model(input=img_input, output=u)
optimizer = Adam(lr=learn_rate)
model.compile(loss='binary_crossentropy',metrics=['binary_accuracy'], optimizer=optimizer)
print(model.summary())
return model
#Ari Silburt's UNet deeper
def unet_deeper(dim, learn_rate, lmbda, drop, FL, init, n_filters):
print('Making UNET model...')
img_input = Input(batch_shape=(None, dim, dim, 1))
a1 = Convolution2D(n_filters, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(img_input)
a1 = Convolution2D(n_filters, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(a1)
a1P = MaxPooling2D((2, 2), strides=(2, 2))(a1)
a2 = Convolution2D(n_filters * 2, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(a1P)
a2 = Convolution2D(n_filters * 2, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(a2)
a2P = MaxPooling2D((2, 2), strides=(2, 2))(a2)
a3 = Convolution2D(n_filters * 4, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(a2P)
a3 = Convolution2D(n_filters * 4, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(a3)
a3P = MaxPooling2D((2, 2), strides=(2, 2), )(a3)
a4 = Convolution2D(n_filters * 8, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(a3P)
a4 = Convolution2D(n_filters * 8, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(a4)
a4P = MaxPooling2D((2, 2), strides=(2, 2), )(a4)
u = Convolution2D(n_filters * 8, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(a4P)
u = Convolution2D(n_filters * 8, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(u)
u = UpSampling2D((2, 2))(u)
u = merge((a4, u), mode='concat', concat_axis=3)
u = Dropout(drop)(u)
u = Convolution2D(n_filters * 4, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(u)
u = Convolution2D(n_filters * 4, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(u)
u = UpSampling2D((2, 2))(u)
u = merge((a3, u), mode='concat', concat_axis=3)
u = Dropout(drop)(u)
u = Convolution2D(n_filters * 2, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(u)
u = Convolution2D(n_filters * 2, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(u)
u = UpSampling2D((2, 2))(u)
u = merge((a2, u), mode='concat', concat_axis=3)
u = Dropout(drop)(u)
u = Convolution2D(n_filters, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(u)
u = Convolution2D(n_filters, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(u)
u = UpSampling2D((2, 2))(u)
u = merge((a1, u), mode='concat', concat_axis=3)
u = Dropout(drop)(u)
u = Convolution2D(n_filters, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(u)
u = Convolution2D(n_filters, FL, FL, activation='relu', init=init,
W_regularizer=l2(lmbda), border_mode='same')(u)
# Final output
final_activation = 'sigmoid'
u = Convolution2D(1, 1, 1, activation=final_activation, init=init,
W_regularizer=l2(lmbda), border_mode='same')(u)
u = Reshape((dim, dim))(u)
if k2:
model = Model(inputs=img_input, outputs=u)
else:
model = Model(input=img_input, output=u)
optimizer = Adam(lr=learn_rate)
model.compile(loss='binary_crossentropy',metrics=['binary_accuracy'], optimizer=optimizer)
print(model.summary())
return model
if __name__ == '__main__':
#simple_resunet_upsample(256,112)#21,368,705
unet_deeper(256,0.0001,1e-6,0.15,3,'he_normal',112)
| 44.930362
| 120
| 0.62579
| 2,164
| 16,130
| 4.516174
| 0.10305
| 0.045841
| 0.045124
| 0.100276
| 0.766193
| 0.763123
| 0.748491
| 0.73611
| 0.730687
| 0.719533
| 0
| 0.043867
| 0.231184
| 16,130
| 358
| 121
| 45.055866
| 0.744214
| 0.083075
| 0
| 0.676923
| 0
| 0
| 0.050329
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.042308
| false
| 0
| 0.061538
| 0.011538
| 0.146154
| 0.023077
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
2e089b071c3ef5b0aba1b50bc2d0f3c69694636a
| 240
|
py
|
Python
|
solutions_automation/vdc/dashboard/monitoring.py
|
threefoldtech/js-sdk
|
811f783ac34a60225175bab2d806802a87b9d5c7
|
[
"Apache-2.0"
] | 13
|
2020-09-02T09:05:08.000Z
|
2022-03-12T02:43:24.000Z
|
solutions_automation/vdc/dashboard/monitoring.py
|
threefoldtech/js-sdk
|
811f783ac34a60225175bab2d806802a87b9d5c7
|
[
"Apache-2.0"
] | 1,998
|
2020-06-15T11:46:10.000Z
|
2022-03-24T22:12:41.000Z
|
solutions_automation/vdc/dashboard/monitoring.py
|
threefoldtech/js-sdk
|
811f783ac34a60225175bab2d806802a87b9d5c7
|
[
"Apache-2.0"
] | 8
|
2020-09-29T06:50:35.000Z
|
2021-06-14T03:30:52.000Z
|
from solutions_automation.vdc.dashboard.common import CommonChatBot
from jumpscale.packages.vdc_dashboard.chats.monitoringstack import InstallMonitoringStack
class MonitoringStackAutomated(CommonChatBot, InstallMonitoringStack):
pass
| 34.285714
| 89
| 0.879167
| 22
| 240
| 9.5
| 0.727273
| 0.114833
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.075
| 240
| 6
| 90
| 40
| 0.941441
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.25
| 0.5
| 0
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
|
0
| 5
|
2e192b6a70652c894508d715c42a2500680db1c8
| 113
|
py
|
Python
|
python programs/variable.py
|
saddam-gif/Python-crushcourse
|
63e1e1ff1eeb9a5d34bb0354cc86566c4de60260
|
[
"MIT"
] | null | null | null |
python programs/variable.py
|
saddam-gif/Python-crushcourse
|
63e1e1ff1eeb9a5d34bb0354cc86566c4de60260
|
[
"MIT"
] | null | null | null |
python programs/variable.py
|
saddam-gif/Python-crushcourse
|
63e1e1ff1eeb9a5d34bb0354cc86566c4de60260
|
[
"MIT"
] | null | null | null |
print("Hello World")
message = "Be humble"
print(message)
message = "Be humble to the Everyone"
print(message)
| 14.125
| 37
| 0.725664
| 16
| 113
| 5.125
| 0.5625
| 0.219512
| 0.365854
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.150442
| 113
| 8
| 38
| 14.125
| 0.854167
| 0
| 0
| 0.4
| 0
| 0
| 0.394737
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.6
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
2e39b87d4e32e9a95b01761ee3b5b7fa0887601b
| 138
|
py
|
Python
|
server/models/base.py
|
AndrewIjano/distributed-tic-tac-toe
|
8ac050ce45d0ad3a0a7d06c5cea1850b8cdb9f01
|
[
"MIT"
] | null | null | null |
server/models/base.py
|
AndrewIjano/distributed-tic-tac-toe
|
8ac050ce45d0ad3a0a7d06c5cea1850b8cdb9f01
|
[
"MIT"
] | null | null | null |
server/models/base.py
|
AndrewIjano/distributed-tic-tac-toe
|
8ac050ce45d0ad3a0a7d06c5cea1850b8cdb9f01
|
[
"MIT"
] | null | null | null |
class BaseModel:
@property
def key(self):
raise NotImplementedError()
def serialize(self):
return vars(self)
| 17.25
| 35
| 0.623188
| 14
| 138
| 6.142857
| 0.785714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.289855
| 138
| 7
| 36
| 19.714286
| 0.877551
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0.166667
| 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
| 1
| 1
| 0
|
0
| 5
|
2e42997e7ac2db7b6d00c58eb50e0be009f2b8e5
| 109
|
py
|
Python
|
src/validate_plist_xml/__init__.py
|
jgstew/validate_plist_xml
|
f8508b565fe910bdd34bbe0dafd68e694a8c99cf
|
[
"MIT"
] | null | null | null |
src/validate_plist_xml/__init__.py
|
jgstew/validate_plist_xml
|
f8508b565fe910bdd34bbe0dafd68e694a8c99cf
|
[
"MIT"
] | 1
|
2021-07-29T15:09:17.000Z
|
2021-07-29T15:09:17.000Z
|
src/validate_plist_xml/__init__.py
|
jgstew/validate_plist_xml
|
f8508b565fe910bdd34bbe0dafd68e694a8c99cf
|
[
"MIT"
] | null | null | null |
"""
To support validate_plist_xml as module
"""
from .validate_plist_xml import main
__version__ = "1.0.4"
| 13.625
| 39
| 0.743119
| 17
| 109
| 4.294118
| 0.823529
| 0.356164
| 0.438356
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.032258
| 0.146789
| 109
| 7
| 40
| 15.571429
| 0.752688
| 0.357798
| 0
| 0
| 0
| 0
| 0.080645
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
5ceb641d403fdcf4f3d26e38062a5c8de1bac1dd
| 122
|
py
|
Python
|
pymailer/__init__.py
|
complexsum/pymailer
|
827810569ef86e08967bdda1786a059a2f15acd7
|
[
"Apache-2.0"
] | 1
|
2021-07-22T12:59:24.000Z
|
2021-07-22T12:59:24.000Z
|
pymailer/__init__.py
|
complexsum/pymailer
|
827810569ef86e08967bdda1786a059a2f15acd7
|
[
"Apache-2.0"
] | null | null | null |
pymailer/__init__.py
|
complexsum/pymailer
|
827810569ef86e08967bdda1786a059a2f15acd7
|
[
"Apache-2.0"
] | null | null | null |
from .__about__ import __version__
from .utils.message import build_message
from .core.email_service import EmailService
| 24.4
| 44
| 0.852459
| 16
| 122
| 5.875
| 0.6875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.106557
| 122
| 4
| 45
| 30.5
| 0.862385
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
5cfbfedacf338522d2fde619e1676c52fe299c99
| 145
|
py
|
Python
|
0x04-python-more_data_structures/6-print_sorted_dictionary.py
|
malu17/alx-higher_level_programming
|
75a24d98c51116b737f339697c75855e34254d3a
|
[
"MIT"
] | null | null | null |
0x04-python-more_data_structures/6-print_sorted_dictionary.py
|
malu17/alx-higher_level_programming
|
75a24d98c51116b737f339697c75855e34254d3a
|
[
"MIT"
] | null | null | null |
0x04-python-more_data_structures/6-print_sorted_dictionary.py
|
malu17/alx-higher_level_programming
|
75a24d98c51116b737f339697c75855e34254d3a
|
[
"MIT"
] | null | null | null |
#!/usr/bin/python3
def print_sorted_dictionary(a_dictionary):
for i, j in sorted(a_dictionary.items()):
print("{}: {}".format(i, j))
| 29
| 45
| 0.648276
| 21
| 145
| 4.285714
| 0.666667
| 0.244444
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.008197
| 0.158621
| 145
| 4
| 46
| 36.25
| 0.729508
| 0.117241
| 0
| 0
| 0
| 0
| 0.047244
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0
| 0.333333
| 0.666667
| 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
| 1
|
0
| 5
|
cf336b6510b3e833aae4703c289b979f40ba7c8e
| 242
|
py
|
Python
|
src/apps/backup/management/commands/run_backup.py
|
tuxis/BuckuPy
|
1af2aa330bcfde11edbf1748af8629289cd084c0
|
[
"MIT"
] | null | null | null |
src/apps/backup/management/commands/run_backup.py
|
tuxis/BuckuPy
|
1af2aa330bcfde11edbf1748af8629289cd084c0
|
[
"MIT"
] | 1
|
2015-03-14T13:59:31.000Z
|
2015-03-14T13:59:31.000Z
|
src/apps/backup/management/commands/run_backup.py
|
tuxis/BackuPy
|
1af2aa330bcfde11edbf1748af8629289cd084c0
|
[
"MIT"
] | null | null | null |
from django.core.management.base import BaseCommand
class Command(BaseCommand):
def handle(self, *args, **options):
from apps.backup.functions import backup_process
bk_obj = backup_process()
bk_obj.run_backup()
| 24.2
| 56
| 0.706612
| 30
| 242
| 5.533333
| 0.7
| 0.156627
| 0.180723
| 0.216867
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.202479
| 242
| 9
| 57
| 26.888889
| 0.860104
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0
| 0.333333
| 0
| 0.666667
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
cf503a7c1ac12b143d8cf4103b26846bc8150482
| 1,340
|
py
|
Python
|
5 - unit testing/vehicle_info_test.py
|
mickeybeurskens/betterpython
|
1b095061b4c11bba39ba4723a23bce495b5ea06a
|
[
"MIT"
] | 523
|
2021-02-22T09:44:36.000Z
|
2022-03-30T06:20:23.000Z
|
5 - unit testing/vehicle_info_test.py
|
mickeybeurskens/betterpython
|
1b095061b4c11bba39ba4723a23bce495b5ea06a
|
[
"MIT"
] | 5
|
2021-03-03T14:54:41.000Z
|
2021-12-24T15:58:40.000Z
|
5 - unit testing/vehicle_info_test.py
|
mickeybeurskens/betterpython
|
1b095061b4c11bba39ba4723a23bce495b5ea06a
|
[
"MIT"
] | 146
|
2021-03-12T23:10:38.000Z
|
2022-03-30T11:30:16.000Z
|
import unittest
from vehicle_info_after import VehicleInfo
class TestVehicleInfoMethods(unittest.TestCase):
pass
# def test_compute_tax_non_electric(self):
# v = VehicleInfo("BMW", False, 10000)
# self.assertEqual(v.compute_tax(), 500)
# def test_compute_tax_electric(self):
# v = VehicleInfo("BMW", True, 10000)
# self.assertEqual(v.compute_tax(), 200)
# def test_compute_tax_exemption(self):
# v = VehicleInfo("BMW", False, 10000)
# self.assertEqual(v.compute_tax(5000), 250)
# def test_compute_tax_exemption_negative(self):
# v = VehicleInfo("BMW", False, 10000)
# self.assertRaises(ValueError, v.compute_tax, -5000)
# def test_compute_tax_exemption_high(self):
# v = VehicleInfo("BMW", False, 10000)
# self.assertEqual(v.compute_tax(20000), 0)
# def test_can_lease_false(self):
# v = VehicleInfo("BMW", False, 10000)
# self.assertEqual(v.can_lease(5000), False)
# def test_can_lease_true(self):
# v = VehicleInfo("BMW", False, 10000)
# self.assertEqual(v.can_lease(15000), True)
# def test_can_lease_negative_income(self):
# v = VehicleInfo("BMW", False, 10000)
# self.assertRaises(ValueError, v.can_lease, -5000)
# run the actual unittests
unittest.main()
| 31.904762
| 61
| 0.656716
| 165
| 1,340
| 5.10303
| 0.266667
| 0.118765
| 0.152019
| 0.180523
| 0.625891
| 0.491686
| 0.454869
| 0.454869
| 0.454869
| 0.454869
| 0
| 0.072519
| 0.21791
| 1,340
| 41
| 62
| 32.682927
| 0.730916
| 0.779851
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.2
| 0.4
| 0
| 0.6
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 5
|
d84d538dd05de087b9938fc33e9746ec3097ff4e
| 6,719
|
py
|
Python
|
tests/test_io.py
|
A-Breeze/premierconverter
|
97b78e184fe70c08d4d5f2174ef802b9f73adaa8
|
[
"MIT"
] | null | null | null |
tests/test_io.py
|
A-Breeze/premierconverter
|
97b78e184fe70c08d4d5f2174ef802b9f73adaa8
|
[
"MIT"
] | 4
|
2020-05-04T10:06:33.000Z
|
2020-05-30T16:33:09.000Z
|
tests/test_io.py
|
A-Breeze/premierconverter
|
97b78e184fe70c08d4d5f2174ef802b9f73adaa8
|
[
"MIT"
] | null | null | null |
"""Unit tests on input/output file functions"""
# pylint: disable=assignment-from-none
#########
# Setup #
#########
# Import external modules
import pytest
# Import project modules
import premierconverter as PCon
##########################
# in_filepath validation #
##########################
def test_io00_in_filepath_does_not_exist(tmp_dir_path):
"""Check an error is raised if there is no file at the in_filepath"""
# Given: Input file does not exist
in_filepath = tmp_dir_path / 'foo.csv'
# When: Attempt to validate the filepath
# Then: Error thrown
with pytest.raises(FileNotFoundError) as err:
PCon.validate_input_options(in_filepath)
assert err is not None # An error was thrown...
assert isinstance(err.value, FileNotFoundError) # ...of this specific type
assert ( # The error message is helpful...
'There is no file at the input location' in str(err.value)
)
assert str(in_filepath.absolute()) in str(err.value) # ...and contains the filepath
print("Correct: Helpful error message was thrown")
def test_io01_in_filepath_unrecognised_extension(tmp_dir_path):
"""Check an error is raised if there is no file at the in_filepath"""
# Given: Input file exists but does not have a recognised extension
in_filepath = tmp_dir_path / 'foo.foo'
in_filepath.write_text("Some text")
assert in_filepath.is_file()
# When: Attempt to validate the filepath
# Then: Warning is thrown (not an exception)
with pytest.warns(UserWarning) as wrns:
PCon.validate_input_options(in_filepath)
assert len(wrns) == 1 # Exactly 1 warning message was thrown
assert (
f"file extension '{in_filepath.suffix}' "
"is not one of the recognised file extensions"
in wrns[0].message.args[0]
)
print("Correct: Helpful warning was thrown")
@pytest.mark.parametrize("filename", ['foo.csv', 'fo o', 'foo.CsV', '01_f.tXt'])
def test_io02_in_filepath_valid(tmp_dir_path, filename):
"""Check the function correctly accepts a valid in_filepath"""
# Given: Input file exists and has a recognised extension
in_filepath = tmp_dir_path / filename
in_filepath.write_text("Some text")
assert in_filepath.is_file()
# When: Attempt to validate the filepath
# Then: No warnings or errors are thrown
rtn_val = 1
with pytest.warns(None) as wrns:
rtn_val = PCon.validate_input_options(in_filepath)
assert len(wrns) == 0 # No warnings are produced
assert rtn_val is None # Validation function completed
print("Correct: `in_filepath` was validated")
##########################
# out_filepath validation #
##########################
@pytest.mark.parametrize("filename", ['foo.csv', 'fo o', 'foo.CsV', '01_f.tXt'])
def test_io10_out_filepath_already_exists(tmp_dir_path, filename):
"""
Check an error is raised if there is already a file at out_filepath...
...but you can stop this error by explicitly passing force_overwrite.
"""
# Given: Output file already exists
out_filepath = tmp_dir_path / filename
out_filepath.write_text("Some text")
assert out_filepath.is_file()
# When: Attempt to validate the filepath (and no force_overwrite passed)
# Then: Error thrown
with pytest.raises(FileExistsError) as err:
PCon.validate_output_options(out_filepath)
assert err is not None # An error was thrown...
assert isinstance(err.value, FileExistsError) # ...of this specific type
assert ( # The error message contains is helpful...
'File already exists at the output location' in str(err.value)
)
assert str(out_filepath.absolute()) in str(err.value) # ...and contains the filepath
assert 'If you want to overwrite it, re-run with `force_overwrite = True`' in str(err.value)
print("Correct: Helpful error message was thrown")
# When: Attempt to validate the filepath with force_overwrite
# Then: No warnings or errors are thrown
rtn_val = 1
with pytest.warns(None) as wrns:
rtn_val = PCon.validate_output_options(out_filepath, force_overwrite=True)
assert len(wrns) == 0 # No warnings are produced
assert rtn_val is None # Validation function completed
print("Correct: `out_filepath` was validated")
def test_io11_out_filepath_no_folder(tmp_dir_path):
"""Check an error is thrown if the folder of out_filepath does not exist"""
# Given: Output file location is in a folder that does not exist
# (so certainly the output file does not exist)
out_dir = tmp_dir_path / 'another folder'
out_filepath = out_dir / 'foo.csv'
# When: Attempt to validate the filepath
# Then: Error thrown
with pytest.raises(FileNotFoundError) as err:
PCon.validate_output_options(out_filepath)
assert err is not None # An error was thrown...
assert isinstance(err.value, FileNotFoundError) # ...of this specific type
assert ( # The error message contains is helpful...
'The folder of the output file does not exist' in str(err.value)
)
assert str(out_filepath.parent.absolute()) in str(err.value) # ...and contains the filepath
print("Correct: Helpful error message was thrown")
@pytest.mark.parametrize("filename", ['foo.xlsx', 'fo .o', 'foo.gzip', '01_f.zip'])
def test_io12_out_filepath_unrecognised_extension(tmp_dir_path, filename):
"""Check an error is thrown if the folder of out_filepath does not exist"""
# Given: Output file deos not have a recognised extension
out_filepath = tmp_dir_path / filename
# When: Attempt to validate the filepath
# Then: Warning is thrown (not an exception)
with pytest.warns(UserWarning) as wrns:
PCon.validate_output_options(out_filepath)
assert len(wrns) == 1 # Exactly 1 warning message was thrown
assert (
f"file extension '{out_filepath.suffix}' "
"is not one of the recognised file extensions"
in wrns[0].message.args[0]
)
print("Correct: Helpful warning was thrown")
@pytest.mark.parametrize("filename", ['foo.csv', 'fo o', 'foo.CsV', '01_f.tXt'])
def test_io13_out_filepath_valid(tmp_dir_path, filename):
"""Check the function correctly accepts a valid in_filepath"""
# Given: Output file has a recognised extension and does not exist
out_filepath = tmp_dir_path / filename
# When: Attempt to validate the filepath
# Then: No warnings or errors are thrown
rtn_val = 1
with pytest.warns(None) as wrns:
rtn_val = PCon.validate_output_options(out_filepath)
assert len(wrns) == 0 # No warnings are produced
assert rtn_val is None # Validation function completed
print("Correct: `out_filepath` was validated")
| 45.09396
| 96
| 0.697723
| 952
| 6,719
| 4.77521
| 0.159664
| 0.058073
| 0.030796
| 0.036956
| 0.809723
| 0.797844
| 0.733392
| 0.703916
| 0.659261
| 0.639463
| 0
| 0.006673
| 0.197053
| 6,719
| 148
| 97
| 45.398649
| 0.835959
| 0.347224
| 0
| 0.593407
| 0
| 0
| 0.206399
| 0.010825
| 0
| 0
| 0
| 0
| 0.285714
| 1
| 0.076923
| false
| 0
| 0.021978
| 0
| 0.098901
| 0.087912
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
d855c6295243a30174fcf813e346d3a6d44eed0a
| 107
|
py
|
Python
|
core/meta/method.py
|
ponyatov/metaLpy
|
96149313e8083536ade1c331825242f6996f05b3
|
[
"MIT"
] | null | null | null |
core/meta/method.py
|
ponyatov/metaLpy
|
96149313e8083536ade1c331825242f6996f05b3
|
[
"MIT"
] | null | null | null |
core/meta/method.py
|
ponyatov/metaLpy
|
96149313e8083536ade1c331825242f6996f05b3
|
[
"MIT"
] | null | null | null |
## @file
from core.active import *
from .meta import *
## @ingroup meta
class Method(Meta, Fn):
pass
| 11.888889
| 25
| 0.654206
| 15
| 107
| 4.666667
| 0.733333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.214953
| 107
| 8
| 26
| 13.375
| 0.833333
| 0.17757
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.25
| 0.5
| 0
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
|
0
| 5
|
d858fae25176ddd61dd0146d989a68411a4a1ca5
| 20
|
py
|
Python
|
checkov/version.py
|
acdha/checkov
|
3b78cd6297f5b708f63aebd8c07acecf252ffa05
|
[
"Apache-2.0"
] | null | null | null |
checkov/version.py
|
acdha/checkov
|
3b78cd6297f5b708f63aebd8c07acecf252ffa05
|
[
"Apache-2.0"
] | 1
|
2021-06-02T02:53:31.000Z
|
2021-06-02T02:53:31.000Z
|
checkov/version.py
|
acdha/checkov
|
3b78cd6297f5b708f63aebd8c07acecf252ffa05
|
[
"Apache-2.0"
] | null | null | null |
version = '1.0.290'
| 10
| 19
| 0.6
| 4
| 20
| 3
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.294118
| 0.15
| 20
| 1
| 20
| 20
| 0.411765
| 0
| 0
| 0
| 0
| 0
| 0.35
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
d8bbae884e621db40be454c8a2db48239c2bd2bf
| 361
|
py
|
Python
|
app/views_info.py
|
fossabot/stream_vod_indexer
|
58bff60cc4adb1b8e5966134d2e560e59464d196
|
[
"MIT"
] | null | null | null |
app/views_info.py
|
fossabot/stream_vod_indexer
|
58bff60cc4adb1b8e5966134d2e560e59464d196
|
[
"MIT"
] | null | null | null |
app/views_info.py
|
fossabot/stream_vod_indexer
|
58bff60cc4adb1b8e5966134d2e560e59464d196
|
[
"MIT"
] | 1
|
2021-02-18T14:25:39.000Z
|
2021-02-18T14:25:39.000Z
|
from django.shortcuts import render
from django.http import JsonResponse
NotImplemented = JsonResponse({"error":"NotImplemented"})
# Create your views here.
def slugs(request):
return NotImplemented
def last_updated(request):
return NotImplemented
def streamer(request):
return NotImplemented
def endpoints(request):
return NotImplemented
| 19
| 57
| 0.778393
| 39
| 361
| 7.179487
| 0.538462
| 0.185714
| 0.385714
| 0.321429
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.149584
| 361
| 18
| 58
| 20.055556
| 0.912052
| 0.063712
| 0
| 0.363636
| 0
| 0
| 0.056716
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.363636
| false
| 0
| 0.181818
| 0.363636
| 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
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
2b115be421033d184d276d09161f585acead1560
| 8,751
|
py
|
Python
|
lib/UITableDelegate.py
|
apimetre/MetreAppUI_v0.25
|
16cdee8154bca18cffeff512a431249f79a62f83
|
[
"MIT"
] | null | null | null |
lib/UITableDelegate.py
|
apimetre/MetreAppUI_v0.25
|
16cdee8154bca18cffeff512a431249f79a62f83
|
[
"MIT"
] | null | null | null |
lib/UITableDelegate.py
|
apimetre/MetreAppUI_v0.25
|
16cdee8154bca18cffeff512a431249f79a62f83
|
[
"MIT"
] | null | null | null |
# Python imports
import os
import numpy as np
import datetime as datetime
import time
import json
from pytz import timezone
# Pythonista imports
import ui
class TData (ui.ListDataSource):
def __init__(self, scale, items=None):
ui.ListDataSource.__init__(self, items)
self.xscale = scale
def tableview_cell_for_row(self, tableview, section, row):
cell = ui.TableViewCell()
cell.text_label.text = str(self.items[row])
scaled_size = round(self.xscale, 1) *1.5 + 12
cell.text_label.font = ("Helvetica", scaled_size)
cell.text_label.alignment = ui.ALIGN_CENTER
return cell
class ResultsTable(object):
def __init__(self, subview_, table_, xscale, yscale, cwd):
self.subview = subview_
self.table = table_
self.xscale = xscale
self.yscale = yscale
self.cwd = cwd
self.log_src = (self.cwd + '/log/log_003.json')
with open(self.log_src) as json_file:
self.log = json.load(json_file)
if self.xscale > 2:
self.spacer = ' '
else:
self.spacer = ' '
with open(self.log_src) as json_file:
self.log = json.load(json_file)
self.etime = self.log['Etime']
self.sorted_etime = sorted(list(self.etime))
self.dt_etime = []
for val in self.etime:
tval = datetime.datetime.fromtimestamp(int(val))
self.dt_etime.append(tval)
self.acetone = self.log['Acetone']
############### This is for displaying '< 2' for acetone values < 2 ##############
self.acetone_str = []
for val in self.acetone:
if float(val) < 2:
self.acetone_str.append("< 2")
else:
self.acetone_str.append(str(round(val,1)))
###################################################################################
new_sorted_etime = sorted(list(self.etime)) # This is the sorted version of self.log['Etime']
new_sorted_dt = sorted(self.dt_etime)
self.rev_sort_etime = list(reversed(new_sorted_etime))
dt_list = []
orig_dt_list = []
for i in new_sorted_dt:
dt_list.append(i.strftime("%b %d, %Y, %I:%M %p"))
for i in self.dt_etime:
orig_dt_list.append(i.strftime("%b %d, %Y, %I:%M %p"))
results = []
self.ref_list_inv = []
for i in dt_list:
results.append(i + self.spacer + self.acetone_str[np.where(np.array(orig_dt_list) == i)[0][0]] + ' ppm ' + np.array(self.log['Key'])[np.where(np.array(orig_dt_list) == i)[0][0]])
self.ref_list_inv.append(np.where(np.array(orig_dt_list) == i)[0][0])
self.ref_list = list(reversed(self.ref_list_inv))
self.table.data_source = TData(self.xscale, reversed(results))
self.table.delegate.action = self.write_notes
def update_table(self):
self.table.reload()
with open(self.log_src) as json_file:
self.log = json.load(json_file)
self.etime = self.log['Etime']
self.dt_etime = []
for val in self.etime:
tval = datetime.datetime.fromtimestamp(int(val))
self.dt_etime.append(tval)
self.acetone = self.log['Acetone']
############### This is for displaying '< 2' for acetone values < 2 ##############
self.acetone_str = []
for val in self.acetone:
if float(val) < 2:
self.acetone_str.append("< 2")
else:
self.acetone_str.append(str(round(val,1)))
###################################################################################
new_sorted_etime = sorted(list(self.etime)) # This is the sorted version of self.log['Etime']
new_sorted_dt = sorted(self.dt_etime)
self.rev_sort_etime = list(reversed(new_sorted_etime))
dt_list = []
orig_dt_list = []
for i in new_sorted_dt:
dt_list.append(i.strftime("%b %d, %Y, %I:%M %p"))
for i in self.dt_etime:
orig_dt_list.append(i.strftime("%b %d, %Y, %I:%M %p"))
results = []
self.ref_list_inv = []
for i in dt_list:
results.append(i + self.spacer + self.acetone_str[np.where(np.array(orig_dt_list) == i)[0][0]] + ' ppm ' + np.array(self.log['Key'])[np.where(np.array(orig_dt_list) == i)[0][0]])
self.ref_list_inv.append(np.where(np.array(orig_dt_list) == i)[0][0])
self.ref_list = reversed(self.ref_list_inv)
self.table.data_source = TData(self.xscale, reversed(results))
def write_notes(self, sender):
with open(self.log_src) as json_file:
self.log = json.load(json_file)
self.row_ix = sender.selected_row
self.log_entry = self.log['Notes'][np.where(np.array(self.etime) == self.rev_sort_etime[self.row_ix])[0][0]]#self.log['Notes'][self.row_ix]
self.tdialog = ui.load_view('tabledialog')
self.tdialog.name = self.table.data_source.items[sender.selected_row]
self.tdialog.frame = (0,0,600,150)
update_button = self.tdialog['update']
replace_button = self.tdialog['replace']
self.tdialog['test_notes'].text = self.log_entry
update_button.action = self.update_log_notes
replace_button.action = self.replace_log_notes
self.tdialog.frame = (0, 0, 600, 150)
self.tdialog.present('Sheet')
def update_log_notes(self, sender):
self.update_table()
current_entry = self.log_entry
entry_to_add = self.tdialog['text_entry'].text
try:
if entry_to_add[0].isupper():
try:
if current_entry[-1] != '.':
spacer = '. '
else:
spacer = ' '
except:
spacer = ''
elif entry_to_add[0].isdigit():
try:
if current_entry[-1] != '.':
spacer = '. '
else:
spacer = ', '
except:
spacer = ''
else:
try:
if current_entry[-1] != ',':
spacer = ', '
else:
spacer = ' '
except:
spacer = ''
new_entry = self.log_entry + spacer + entry_to_add
self.log['Notes'][np.where(np.array(self.etime) == self.rev_sort_etime[self.row_ix])[0][0]] = new_entry
self.log['Key'][np.where(np.array(self.etime) == self.rev_sort_etime[self.row_ix])[0][0]] = " *"
with open(self.log_src, "w") as outfile:
json.dump(self.log, outfile)
self.tdialog['test_notes'].text = self.log['Notes'][np.where(np.array(self.etime) == self.rev_sort_etime[self.row_ix])[0][0]]
self.tdialog['text_entry'].text = ''
except:
self.tdialog['text_entry'].text = ''
self.tdialog['text_entry'].end_editing()
self.update_table()
self.table.delegate.action = self.write_notes
def replace_log_notes(self, sender):
self.update_table()
current_entry = self.log_entry
entry_to_add = self.tdialog['text_entry'].text
try:
self.log['Notes'][np.where(np.array(self.etime) == self.rev_sort_etime[self.row_ix])[0][0]] = entry_to_add
if entry_to_add != '':
self.log['Key'][np.where(np.array(self.etime) == self.rev_sort_etime[self.row_ix])[0][0]] = " *"
else:
self.log['Key'][np.where(np.array(self.etime) == self.rev_sort_etime[self.row_ix])[0][0]] = ''
with open(self.log_src, "w") as outfile:
json.dump(self.log, outfile)
self.tdialog['test_notes'].text = self.log['Notes'][np.where(np.array(self.etime) == self.rev_sort_etime[self.row_ix])[0][0]]
self.tdialog['text_entry'].text = ''
except:
self.tdialog['text_entry'].text = ''
self.tdialog['text_entry'].end_editing()
self.update_table()
self.table.delegate.action = self.write_notes
| 40.142202
| 190
| 0.516627
| 1,062
| 8,751
| 4.059322
| 0.130885
| 0.056831
| 0.029228
| 0.045465
| 0.745535
| 0.740895
| 0.735096
| 0.716771
| 0.706797
| 0.706797
| 0
| 0.011632
| 0.331962
| 8,751
| 217
| 191
| 40.327189
| 0.725795
| 0.031196
| 0
| 0.690058
| 0
| 0
| 0.042192
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.040936
| false
| 0
| 0.040936
| 0
| 0.099415
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
2b1b40296d057b4ebdabe7d9a8c1e830fa3fbf9c
| 25,082
|
py
|
Python
|
reminder.py
|
NikitaMikhailov/bot_herobot
|
4e462f622dd0ba67854b5e778efc86abab303bec
|
[
"MIT"
] | null | null | null |
reminder.py
|
NikitaMikhailov/bot_herobot
|
4e462f622dd0ba67854b5e778efc86abab303bec
|
[
"MIT"
] | 6
|
2020-03-24T17:23:25.000Z
|
2021-12-13T20:04:34.000Z
|
reminder.py
|
NikitaMikhailov/bot_herobot_ls
|
4e462f622dd0ba67854b5e778efc86abab303bec
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env bash
# !/bin/bash
# !/bin/sh
# !/bin/sh -
from vk_api import VkUpload
from vk_api.bot_longpoll import VkBotLongPoll, VkBotEventType
import datetime, requests, vk_api, calendar
from vk_api.utils import get_random_id
# сделать проверку при переходе на завтра в последний день месяца !!done
# сделать проверку на правильную дату !!done
# исправить регистр в напоминании !!done
# добавить возможность указывать время с точкой и без минут
# добавить напоминания на год вперед !!done и на какой-то конкретный год
# добавить написание месяца словом
f=open('/root/bot_herobot_chat/token.txt','r')
token=f.read()
f.close()
session = requests.Session()
vk_session = vk_api.VkApi(token=token)
longpoll = VkBotLongPoll(vk_session, '178949259')
vk = vk_session.get_api()
upload = VkUpload(vk_session) # Для загрузки изображений
# file_zametki = open("/root/bot_herobot_ls/resurses/zametki.txt", "w", encoding="utf8")
# file_zametki.close()
format_command = "Формат команды:\n'напомни мне\n+\nутром/днем/вечером\nв hh:mm\nзавтра в hh:mm\nзавтра утром/днем/вечером\nday.month\nday.month в hh:mm\n+\nтекст напоминания.'\nПросмотреть список напоминаний: 'напомни мне все'"
uncorrect_comand = "Команда напоминания некорректна"
def sent_message(text, user_id):
vk.messages.send(
user_id=user_id,
random_id=get_random_id(),
message=text
)
def refactor_time_start(time_start):
tm_st = time_start.split(':')
if len(tm_st) < 2:
return time_start.split('.')
else:
return tm_st
def correct_date(date_start):
if int(date_start.split('.')[1]) < 1 or int(date_start.split('.')[1]) > 12 or int(
date_start.split('.')[0]) < 1 or int(date_start.split('.')[0]) > \
calendar.monthrange(datetime.datetime.now().year, int(date_start.split('.')[1]))[1]:
text = 'Дата задана некорректно'
sent_message(text, event.obj.peer_id)
return False
if int(date_start.split('.')[1]) <= datetime.datetime.now().month and int(
date_start.split('.')[0]) < datetime.datetime.now().day or int(
date_start.split('.')[1]) < datetime.datetime.now().month:
text = 'Указанная дата меньше текущей, напоминание сработает только на следующий год'
sent_message(text, event.obj.peer_id)
return True
return True
def correct_time(time_start, today_flag):
time_start = refactor_time_start(time_start)
if len(time_start)>2:
text = 'Время задано некорректно'
sent_message(text, event.obj.peer_id)
return False
if int(time_start[0]) < 0 or int(time_start[0]) > 23 or int(
time_start[1]) < 0 or int(time_start[1]) > 59:
text = 'Время задано некорректно'
sent_message(text, event.obj.peer_id)
return False
if today_flag is True and datetime.time(int(time_start[0]),
int(time_start[1])) <= datetime.time(
datetime.datetime.now().hour, datetime.datetime.now().minute):
text = 'Указанное время меньше текущего'
sent_message(text, event.obj.peer_id)
return False
return True
for event in longpoll.listen():
if event.type == VkBotEventType.MESSAGE_NEW and event.obj.text and event.from_user:
input_text = event.obj.text
event.obj.text = event.obj.text.lower()
if event.obj.text[:11:] == "напомни мне":
try:
if event.obj.text == "напомни мне":
text = "Я могу помочь тебе не забывать важную информацию"
sent_message(text, event.obj.peer_id)
sent_message(format_command, event.obj.peer_id)
elif event.obj.text == "напомни мне все" or event.obj.text == 'напомни мне всё':
f = open('/root/bot_herobot_ls/resurses/zametki.txt', encoding='utf8')
text = 'Список твоих напоминаний\n'
for line in f:
zametka = line.split('***#***')
if zametka != ['\n'] and zametka[5] == str(event.obj.peer_id):
text += zametka[1]+'.'+zametka[0]+' на '+zametka[2]+':'+zametka[3]+' с текстом "' + zametka[4].capitalize()+'"\n'
if text == 'Список твоих напоминаний\n':
text = 'У тебя нет напоминаний'
sent_message(text, event.obj.peer_id)
f.close()
elif event.obj.text[11:14:] == " в ":
time_start = event.obj.text.split(' ')[3]
if correct_time(time_start, True) is True:
date_start = [datetime.datetime.now().month, datetime.datetime.now().day]
time_start = refactor_time_start(time_start)
file_zametki = open("/root/bot_herobot_ls/resurses/zametki.txt", "a", encoding="utf8")
file_zametki.write(str(date_start[0]) + '***#***' + str(date_start[1]) + '***#***' + time_start[
0] + '***#***' + time_start[1] + '***#***' + input_text[event.obj.text.find(' ', 16,
-1) + 1::] + '***#***' + str(
event.obj.peer_id) + '***#***' + '\n')
file_zametki.close()
text = "Напоминание с текстом: '" + input_text[
event.obj.text.find(' ', 16, -1) + 1::] + "' в " + \
time_start[0] + ':' + time_start[1] + " на сегодня создано."
sent_message(text, event.obj.peer_id)
elif event.obj.text[11:11 + len(" завтра в "):] == " завтра в ":
time_start = event.obj.text.split(' ')[4]
if correct_time(time_start, False) is True:
date_start = [datetime.datetime.now().month, int(datetime.datetime.now().day) + 1]
if date_start[1] > calendar.monthrange(datetime.datetime.now().year, int(date_start[0]))[1]:
date_start[0] += 1
date_start[1] = 1
if date_start[0] > 12:
date_start[0] = 1
time_start = refactor_time_start(time_start)
file_zametki = open("/root/bot_herobot_ls/resurses/zametki.txt", "a", encoding="utf8")
file_zametki.write(str(date_start[0]) + '***#***' + str(date_start[1]) + '***#***' + time_start[
0] + '***#***' + time_start[1] + '***#***' + input_text[event.obj.text.find(' ',
11 + len(
" завтра в ") + 2,
-1) + 1::] + '***#***' + str(
event.obj.peer_id) + '***#***' + '\n')
file_zametki.close()
text = "Напоминание с текстом: '" + input_text[event.obj.text.find(' ',
11 + len(
" завтра в ") + 2,
-1) + 1::] + "' в " + \
time_start[0] + ':' + time_start[1] + " на завтра создано."
sent_message(text, event.obj.peer_id)
elif event.obj.text[11:11 + len(" завтра утром "):] == " завтра утром ":
time_start = "9:00"
if correct_time(time_start, False) is True:
date_start = [datetime.datetime.now().month, int(datetime.datetime.now().day) + 1]
if date_start[1] > calendar.monthrange(datetime.datetime.now().year, int(date_start[0]))[1]:
date_start[0] += 1
date_start[1] = 1
if date_start[0] > 12:
date_start[0] = 1
time_start = time_start.split(':')
file_zametki = open("/root/bot_herobot_ls/resurses/zametki.txt", "a", encoding="utf8")
file_zametki.write(str(date_start[0]) + '***#***' + str(date_start[1]) + '***#***' + time_start[
0] + '***#***' + time_start[1] + '***#***' + input_text[event.obj.text.find(' ',
11 + len(
" завтра утром ") - 2,
-1) + 1::] + '***#***' + str(
event.obj.peer_id) + '***#***' + '\n')
file_zametki.close()
text = "Напоминание с текстом: '" + input_text[event.obj.text.find(' ',
11 + len(
" завтра утром ") - 2,
-1) + 1::] + "' в " + \
time_start[0] + ':' + time_start[1] + " на завтра создано."
sent_message(text, event.obj.peer_id)
elif event.obj.text[11:11 + len(" завтра днем "):] == " завтра днем " or event.obj.text[11:11 + len(
" завтра днём "):] == " завтра днём ":
time_start = "13:00"
if correct_time(time_start, False) is True:
date_start = [datetime.datetime.now().month, int(datetime.datetime.now().day) + 1]
if date_start[1] > calendar.monthrange(datetime.datetime.now().year, int(date_start[0]))[1]:
date_start[0] += 1
date_start[1] = 1
if date_start[0] > 12:
date_start[0] = 1
time_start = time_start.split(':')
file_zametki = open("/root/bot_herobot_ls/resurses/zametki.txt", "a", encoding="utf8")
file_zametki.write(str(date_start[0]) + '***#***' + str(date_start[1]) + '***#***' + time_start[
0] + '***#***' + time_start[1] + '***#***' + input_text[event.obj.text.find(' ',
11 + len(
" завтра днем ") - 2,
-1) + 1::] + '***#***' + str(
event.obj.peer_id) + '***#***' + '\n')
file_zametki.close()
text = "Напоминание с текстом: '" + input_text[event.obj.text.find(' ',
11 + len(
" завтра днем ") - 2,
-1) + 1::] + "' в " + \
time_start[0] + ':' + time_start[1] + " на завтра создано."
sent_message(text, event.obj.peer_id)
elif event.obj.text[11:11 + len(" завтра вечером "):] == " завтра вечером ":
time_start = "18:00"
if correct_time(time_start, False) is True:
date_start = [datetime.datetime.now().month, int(datetime.datetime.now().day) + 1]
if date_start[1] > calendar.monthrange(datetime.datetime.now().year, int(date_start[0]))[1]:
date_start[0] += 1
date_start[1] = 1
if date_start[0] > 12:
date_start[0] = 1
time_start = time_start.split(':')
file_zametki = open("/root/bot_herobot_ls/resurses/zametki.txt", "a", encoding="utf8")
file_zametki.write(str(date_start[0]) + '***#***' + str(date_start[1]) + '***#***' + time_start[
0] + '***#***' + time_start[1] + '***#***' + input_text[event.obj.text.find(' ',
11 + len(
" завтра вечером ") - 2,
-1) + 1::] + '***#***' + str(
event.obj.peer_id) + '***#***' + '\n')
file_zametki.close()
text = "Напоминание с текстом: '" + input_text[event.obj.text.find(' ',
11 + len(
" завтра вечером ") - 2,
-1) + 1::] + "' в " + \
time_start[0] + ':' + time_start[1] + " на завтра создано."
sent_message(text, event.obj.peer_id)
elif event.obj.text[11:11 + len(" утром "):] == " утром ":
time_start = "9:00"
if correct_time(time_start, True) is True:
date_start = [datetime.datetime.now().month, datetime.datetime.now().day]
time_start = time_start.split(':')
file_zametki = open("/root/bot_herobot_ls/resurses/zametki.txt", "a", encoding="utf8")
file_zametki.write(str(date_start[0]) + '***#***' + str(date_start[1]) + '***#***' + time_start[
0] + '***#***' + time_start[1] + '***#***' + input_text[event.obj.text.find(' ',
11 + len(
" утром ") - 2,
-1) + 1::] + '***#***' + str(
event.obj.peer_id) + '***#***' + '\n')
file_zametki.close()
text = "Напоминание с текстом: '" + input_text[event.obj.text.find(' ',
11 + len(
" утром ") - 2,
-1) + 1::] + "' в " + \
time_start[0] + ':' + time_start[1] + " на сегодня создано."
sent_message(text, event.obj.peer_id)
elif event.obj.text[11:11 + len(" днем "):] == " днем " or event.obj.text[
11:11 + len(" днём "):] == " днём ":
time_start = "13:00"
if correct_time(time_start, True) is True:
date_start = [datetime.datetime.now().month, datetime.datetime.now().day]
time_start = time_start.split(':')
file_zametki = open("/root/bot_herobot_ls/resurses/zametki.txt", "a", encoding="utf8")
file_zametki.write(str(date_start[0]) + '***#***' + str(date_start[1]) + '***#***' + time_start[
0] + '***#***' + time_start[1] + '***#***' + input_text[event.obj.text.find(' ',
11 + len(
" днем ") - 2,
-1) + 1::] + '***#***' + str(
event.obj.peer_id) + '***#***' + '\n')
file_zametki.close()
text = "Напоминание с текстом: '" + input_text[event.obj.text.find(' ',
11 + len(
" днем ") - 2,
-1) + 1::] + "' в " + \
time_start[0] + ':' + time_start[1] + " на сегодня создано."
sent_message(text, event.obj.peer_id)
elif event.obj.text[11:11 + len(" вечером "):] == " вечером ":
time_start = "18:00"
if correct_time(time_start, True) is True:
date_start = [datetime.datetime.now().month, datetime.datetime.now().day]
time_start = time_start.split(':')
file_zametki = open("/root/bot_herobot_ls/resurses/zametki.txt", "a", encoding="utf8")
file_zametki.write(str(date_start[0]) + '***#***' + str(date_start[1]) + '***#***' + time_start[
0] + '***#***' + time_start[1] + '***#***' + input_text[event.obj.text.find(' ',
11 + len(
" вечером ") - 2,
-1) + 1::] + '***#***' + str(
event.obj.peer_id) + '***#***' + '\n')
file_zametki.close()
text = "Напоминание с текстом: '" + input_text[event.obj.text.find(' ',
11 + len(
" вечером ") - 2,
-1) + 1::] + "' в " + \
time_start[0] + ':' + time_start[1] + " на сегодня создано."
sent_message(text, event.obj.peer_id)
elif event.obj.text.split(' ')[2][0].isdigit():
date_start = event.obj.text.split(' ')[2]
if len(event.obj.text.split(' ')) < 5 or event.obj.text.split(' ')[4][0].isdigit() is False:
event.obj.text = event.obj.text.split(' ')
event.obj.text.insert(3, 'в')
event.obj.text.insert(4, '06:00')
input_text = input_text.split(' ')
input_text.insert(3, 'в')
input_text.insert(4, '06:00')
input_text = ' '.join(input_text)
event.obj.text = ' '.join(event.obj.text)
time_start = event.obj.text.split(' ')[4]
if correct_time(time_start, False) is True:
if correct_date(date_start) is True:
if int(date_start.split('.')[0]) == datetime.datetime.now().day and int(
date_start.split('.')[
1]) == datetime.datetime.now().month:
if correct_time(time_start, True) is False:
continue
else:
date_start = date_start.split('.')
time_start = refactor_time_start(time_start)
file_zametki = open("/root/bot_herobot_ls/resurses/zametki.txt", "a",
encoding="utf8")
file_zametki.write(
str(date_start[1]) + '***#***' + str(date_start[0]) + '***#***' + time_start[
0] + '***#***' + time_start[1] + '***#***' + input_text[
event.obj.text.find(' ',
event.obj.text.find(
' в ') + 3,
-1) + 1::] + '***#***' + str(
event.obj.peer_id) + '***#***' + '\n')
file_zametki.close()
text = "Напоминание с текстом: '" + input_text[event.obj.text.find(' ',
event.obj.text.find(
' в ') + 3,
-1) + 1::] + "' в " + \
time_start[0] + ':' + time_start[1] + " на " + str(
date_start[0]) + '.' + str(
date_start[1]) + " создано."
sent_message(text, event.obj.peer_id)
else:
date_start = date_start.split('.')
time_start = refactor_time_start(time_start)
file_zametki = open("/root/bot_herobot_ls/resurses/zametki.txt", "a", encoding="utf8")
file_zametki.write(
str(date_start[1]) + '***#***' + str(date_start[0]) + '***#***' + time_start[
0] + '***#***' + time_start[1] + '***#***' + input_text[event.obj.text.find(' ',
event.obj.text.find(
' в ') + 3,
-1) + 1::] + '***#***' + str(
event.obj.peer_id) + '***#***' + '\n')
file_zametki.close()
text = "Напоминание с текстом: '" + input_text[event.obj.text.find(' ',
event.obj.text.find(
' в ') + 3,
-1) + 1::] + "' в " + \
time_start[0] + ':' + time_start[1] + " на " + str(date_start[0]) + '.' + str(
date_start[1]) + " создано."
sent_message(text, event.obj.peer_id)
else:
sent_message(uncorrect_comand, event.obj.peer_id)
sent_message(format_command, event.obj.peer_id)
except:
sent_message(uncorrect_comand, event.obj.peer_id)
sent_message(format_command, event.obj.peer_id)
| 67.064171
| 228
| 0.362092
| 2,116
| 25,082
| 4.120038
| 0.098299
| 0.10117
| 0.075705
| 0.052994
| 0.77644
| 0.740193
| 0.727002
| 0.700734
| 0.68479
| 0.650379
| 0
| 0.028384
| 0.512599
| 25,082
| 373
| 229
| 67.243968
| 0.684744
| 0.019895
| 0
| 0.692063
| 0
| 0.003175
| 0.102849
| 0.023525
| 0
| 0
| 0
| 0
| 0
| 1
| 0.012698
| false
| 0
| 0.012698
| 0
| 0.053968
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
99581c5a8e09b457ae98f2d23124e73c96bec07d
| 166
|
py
|
Python
|
qoredl_project/qoredl-core/Global_client.py
|
qore-dl/qore-dl-code
|
dc60df8fd072df5c641005992630f43892b7f78e
|
[
"Apache-2.0"
] | null | null | null |
qoredl_project/qoredl-core/Global_client.py
|
qore-dl/qore-dl-code
|
dc60df8fd072df5c641005992630f43892b7f78e
|
[
"Apache-2.0"
] | null | null | null |
qoredl_project/qoredl-core/Global_client.py
|
qore-dl/qore-dl-code
|
dc60df8fd072df5c641005992630f43892b7f78e
|
[
"Apache-2.0"
] | null | null | null |
from influxdb import InfluxDBClient
class Global_Influx():
Client_all = InfluxDBClient(host='172.16.20.190',port=8086,username='voicecomm',password='voicecomm')
| 33.2
| 105
| 0.783133
| 21
| 166
| 6.095238
| 0.904762
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.092105
| 0.084337
| 166
| 4
| 106
| 41.5
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0.187879
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.333333
| 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
| 1
| 1
| 0
| 1
| 0
|
0
| 5
|
997b45949a906e8f5210698f429a43512569a506
| 259
|
py
|
Python
|
sniffing/http-password-sniffer.py
|
imsouza/pentest-tools
|
798b8e6f09534d61b3acd1873614c423c0b98f13
|
[
"MIT"
] | null | null | null |
sniffing/http-password-sniffer.py
|
imsouza/pentest-tools
|
798b8e6f09534d61b3acd1873614c423c0b98f13
|
[
"MIT"
] | null | null | null |
sniffing/http-password-sniffer.py
|
imsouza/pentest-tools
|
798b8e6f09534d61b3acd1873614c423c0b98f13
|
[
"MIT"
] | null | null | null |
from scapy.all import *
def print_packages(package):
header = str(package[TCP].payload[0:4])
if header == 'POST':
if 'pass' in str(package[TCP].payload).lower():
print package[TCP].payload
sniff(filter='port 80',store=0, prn=print_packages)
| 21.583333
| 51
| 0.683398
| 39
| 259
| 4.487179
| 0.641026
| 0.171429
| 0.291429
| 0.228571
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.022831
| 0.15444
| 259
| 11
| 52
| 23.545455
| 0.776256
| 0
| 0
| 0
| 0
| 0
| 0.05814
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0.142857
| 0.142857
| null | null | 0.428571
| 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
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 1
|
0
| 5
|
997c1f767f3b6775e40a66e64cf1159f1db42a2d
| 1,758
|
py
|
Python
|
Leetcode/Python/_169.py
|
Xrenya/algorithms
|
aded82cacde2f4f2114241907861251e0e2e5638
|
[
"MIT"
] | 1
|
2021-11-28T15:03:32.000Z
|
2021-11-28T15:03:32.000Z
|
Leetcode/Python/_169.py
|
Xrenya/algorithms
|
aded82cacde2f4f2114241907861251e0e2e5638
|
[
"MIT"
] | null | null | null |
Leetcode/Python/_169.py
|
Xrenya/algorithms
|
aded82cacde2f4f2114241907861251e0e2e5638
|
[
"MIT"
] | null | null | null |
class Solution:
def majorityElement(self, nums: List[int]) -> int:
vote = 0
result = None
n = len(nums) // 2
for num in nums:
if vote == 0:
result = num
if result == num:
vote += 1
if vote > n:
return result
else:
vote -= 1
return result
class Solution:
def majorityElement(self, nums: List[int]) -> int:
vote = 0
result = None
for num in nums:
if vote == 0:
result = num
if result == num:
vote += 1
else:
vote -= 1
return result
from collections import defaultdict
class Solution:
def majorityElement(self, nums: List[int]) -> int:
lenght = len(nums)
major = lenght // 2
hashMap = defaultdict(int)
for num in nums:
hashMap[num] += 1
if hashMap[num] > major:
return num
class Solution:
def majorityElement(self, nums: List[int]) -> int:
hashMap = {}
high = 0
output = 0
for num in nums:
if num not in hashMap:
hashMap[num] = 0
hashMap[num] += 1
if high < hashMap[num]:
high = hashMap[num]
output = num
return output
class Solution:
def majorityElement(self, nums: List[int]) -> int:
hashMap = defaultdict(int)
high = 0
output = 0
for num in nums:
hashMap[num] += 1
if high < hashMap[num]:
high = hashMap[num]
output = num
return output
| 26.238806
| 54
| 0.448237
| 182
| 1,758
| 4.32967
| 0.175824
| 0.114213
| 0.101523
| 0.196701
| 0.784264
| 0.728426
| 0.728426
| 0.728426
| 0.635787
| 0.573604
| 0
| 0.019293
| 0.469283
| 1,758
| 66
| 55
| 26.636364
| 0.825295
| 0
| 0
| 0.836066
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.081967
| false
| 0
| 0.016393
| 0
| 0.278689
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
997f1e8286dec29a79fb1385182f5f82a1aa9e67
| 30
|
py
|
Python
|
pcdet/version.py
|
tuanho27/OpenPCDet
|
facde3cdb9590f238cfbfac88633e2746dcad2a4
|
[
"Apache-2.0"
] | null | null | null |
pcdet/version.py
|
tuanho27/OpenPCDet
|
facde3cdb9590f238cfbfac88633e2746dcad2a4
|
[
"Apache-2.0"
] | null | null | null |
pcdet/version.py
|
tuanho27/OpenPCDet
|
facde3cdb9590f238cfbfac88633e2746dcad2a4
|
[
"Apache-2.0"
] | null | null | null |
__version__ = "0.2.0+1e2b0ad"
| 15
| 29
| 0.7
| 5
| 30
| 3.4
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.222222
| 0.1
| 30
| 1
| 30
| 30
| 0.407407
| 0
| 0
| 0
| 0
| 0
| 0.433333
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
5117f425a33dacec425924067a43e90a3fd96c77
| 141
|
py
|
Python
|
random/stocks_simulator.py
|
Dmendoza3/Phyton
|
e6c563609724b2dadcd767d2bfc291090ac2f58e
|
[
"MIT"
] | null | null | null |
random/stocks_simulator.py
|
Dmendoza3/Phyton
|
e6c563609724b2dadcd767d2bfc291090ac2f58e
|
[
"MIT"
] | null | null | null |
random/stocks_simulator.py
|
Dmendoza3/Phyton
|
e6c563609724b2dadcd767d2bfc291090ac2f58e
|
[
"MIT"
] | null | null | null |
import time
import random
value = random.randint(0, 1000)
while True:
if random.randint(0, 100) > 50:
print("lose everything")
| 15.666667
| 35
| 0.666667
| 20
| 141
| 4.7
| 0.75
| 0.276596
| 0.297872
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1
| 0.219858
| 141
| 8
| 36
| 17.625
| 0.754545
| 0
| 0
| 0
| 0
| 0
| 0.106383
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0.166667
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
850acae9e6730e1a008027badd4b40e01b33c578
| 2,542
|
py
|
Python
|
pepper_snp/modules/python/MakeImages.py
|
Samteymoori/pepper
|
734d226de47a855952e3b58145c1fcfbe221d3b4
|
[
"MIT"
] | null | null | null |
pepper_snp/modules/python/MakeImages.py
|
Samteymoori/pepper
|
734d226de47a855952e3b58145c1fcfbe221d3b4
|
[
"MIT"
] | null | null | null |
pepper_snp/modules/python/MakeImages.py
|
Samteymoori/pepper
|
734d226de47a855952e3b58145c1fcfbe221d3b4
|
[
"MIT"
] | null | null | null |
import os
from pepper_snp.modules.python.ImageGenerationUI import UserInterfaceSupport
def make_images(bam_file, draft_file, region, output_path, total_threads, downsample_rate):
output_dir = UserInterfaceSupport.handle_output_directory(os.path.abspath(output_path))
chr_list, bed_list = UserInterfaceSupport.get_chromosome_list(region, draft_file, bam_file, region_bed=None)
UserInterfaceSupport.chromosome_level_parallelization(chr_list=chr_list,
bam_file=bam_file,
draft_file=draft_file,
truth_bam_h1=None,
truth_bam_h2=None,
output_path=output_dir,
total_threads=total_threads,
realignment_flag=False,
train_mode=False,
downsample_rate=downsample_rate,
bed_list=None)
def make_train_images(bam_file, draft_file, truth_bam_h1, truth_bam_h2, region, region_bed, output_path, total_threads, downsample_rate):
output_dir = UserInterfaceSupport.handle_output_directory(os.path.abspath(output_path))
chr_list, bed_list_dictionary = UserInterfaceSupport.get_chromosome_list(region, draft_file, bam_file, region_bed=region_bed)
UserInterfaceSupport.chromosome_level_parallelization(chr_list=chr_list,
bam_file=bam_file,
draft_file=draft_file,
truth_bam_h1=truth_bam_h1,
truth_bam_h2=truth_bam_h2,
output_path=output_dir,
total_threads=total_threads,
realignment_flag=False,
train_mode=True,
downsample_rate=downsample_rate,
bed_list=bed_list_dictionary)
| 65.179487
| 137
| 0.464595
| 199
| 2,542
| 5.477387
| 0.221106
| 0.051376
| 0.07156
| 0.058716
| 0.818349
| 0.789908
| 0.712844
| 0.712844
| 0.677064
| 0.677064
| 0
| 0.006226
| 0.494493
| 2,542
| 38
| 138
| 66.894737
| 0.842023
| 0
| 0
| 0.533333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.066667
| false
| 0
| 0.066667
| 0
| 0.133333
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
517f586f07c888f23e3ebae5fa5950083f9c7651
| 85
|
py
|
Python
|
5_Pham_Ngo_Tien_Dung/1.1.py
|
huong-rose/student-practices
|
3d0e500a1864665b63247e3b6c96c297c55fceb8
|
[
"MIT"
] | null | null | null |
5_Pham_Ngo_Tien_Dung/1.1.py
|
huong-rose/student-practices
|
3d0e500a1864665b63247e3b6c96c297c55fceb8
|
[
"MIT"
] | null | null | null |
5_Pham_Ngo_Tien_Dung/1.1.py
|
huong-rose/student-practices
|
3d0e500a1864665b63247e3b6c96c297c55fceb8
|
[
"MIT"
] | 8
|
2020-07-10T14:13:54.000Z
|
2020-08-03T08:17:50.000Z
|
# Write a program that prints ‘Hello World’ to the screen.
print("hello world!")
| 21.25
| 59
| 0.694118
| 13
| 85
| 4.538462
| 0.846154
| 0.338983
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2
| 85
| 4
| 60
| 21.25
| 0.867647
| 0.658824
| 0
| 0
| 0
| 0
| 0.48
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
51cda408d24b0b351a76452570085336eb6c1d3a
| 368
|
py
|
Python
|
tests/test_parse.py
|
assasinitachi123/extra-boolean
|
632bf238bd44df0a31be8fb970ed65f812dad166
|
[
"MIT"
] | null | null | null |
tests/test_parse.py
|
assasinitachi123/extra-boolean
|
632bf238bd44df0a31be8fb970ed65f812dad166
|
[
"MIT"
] | 2
|
2021-04-01T12:07:06.000Z
|
2021-04-01T12:30:17.000Z
|
tests/test_parse.py
|
assasinitachi123/extra-boolean
|
632bf238bd44df0a31be8fb970ed65f812dad166
|
[
"MIT"
] | 3
|
2021-04-01T11:29:06.000Z
|
2021-04-01T12:07:55.000Z
|
from extra_boolean import parse
def test_parse():
assert parse("1") == True
assert parse("truthy") == True
assert parse("Not Off") == True
assert parse("Not Inactive") == True
assert parse("cold") == False
assert parse("inactive") == False
assert parse("Negative Yes") == False
assert parse("Negative Aye") == False
| 28.307692
| 39
| 0.605978
| 44
| 368
| 5.022727
| 0.431818
| 0.39819
| 0.271493
| 0.162896
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.00365
| 0.255435
| 368
| 12
| 40
| 30.666667
| 0.80292
| 0
| 0
| 0
| 0
| 0
| 0.168478
| 0
| 0
| 0
| 0
| 0
| 0.8
| 1
| 0.1
| true
| 0
| 0.1
| 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
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
51cdc580268ef4c73784dd8b9b39a834260fc8c9
| 206
|
py
|
Python
|
interprocedural_analyses/taint/test/integration/static_methods.py
|
skylerberg/pyre-check
|
e7967e5ee65dd09608f162cdb36a5b0919aeb5e3
|
[
"MIT"
] | 1
|
2020-08-12T14:33:46.000Z
|
2020-08-12T14:33:46.000Z
|
interprocedural_analyses/taint/test/integration/static_methods.py
|
skylerberg/pyre-check
|
e7967e5ee65dd09608f162cdb36a5b0919aeb5e3
|
[
"MIT"
] | null | null | null |
interprocedural_analyses/taint/test/integration/static_methods.py
|
skylerberg/pyre-check
|
e7967e5ee65dd09608f162cdb36a5b0919aeb5e3
|
[
"MIT"
] | null | null | null |
# flake8: noqa
class StaticClass:
@staticmethod
def sink(oops):
__test_sink(oops)
def test(source):
return StaticClass.sink(source)
def run_test(source):
test(__test_source())
| 12.875
| 35
| 0.669903
| 25
| 206
| 5.24
| 0.48
| 0.229008
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.00625
| 0.223301
| 206
| 15
| 36
| 13.733333
| 0.8125
| 0.058252
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.375
| false
| 0
| 0
| 0.125
| 0.625
| 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
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
51d10772c01bd5a7501884d7d34b996156b5855b
| 11,131
|
py
|
Python
|
openshift/test/test_image_openshift_io_v1_api.py
|
flaper87/openshift-restclient-python
|
13d5d86ca89035b9f596032e7a34f3cc33bf8f18
|
[
"Apache-2.0"
] | null | null | null |
openshift/test/test_image_openshift_io_v1_api.py
|
flaper87/openshift-restclient-python
|
13d5d86ca89035b9f596032e7a34f3cc33bf8f18
|
[
"Apache-2.0"
] | null | null | null |
openshift/test/test_image_openshift_io_v1_api.py
|
flaper87/openshift-restclient-python
|
13d5d86ca89035b9f596032e7a34f3cc33bf8f18
|
[
"Apache-2.0"
] | null | null | null |
# coding: utf-8
"""
OpenShift API (with Kubernetes)
OpenShift provides builds, application lifecycle, image content management, and administrative policy on top of Kubernetes. The API allows consistent management of those objects. All API operations are authenticated via an Authorization bearer token that is provided for service accounts as a generated secret (in JWT form) or via the native OAuth endpoint located at /oauth/authorize. Core infrastructure components may use openshift.client certificates that require no authentication. All API operations return a 'resourceVersion' string that represents the version of the object in the underlying storage. The standard LIST operation performs a snapshot read of the underlying objects, returning a resourceVersion representing a consistent version of the listed objects. The WATCH operation allows all updates to a set of objects after the provided resourceVersion to be observed by a openshift.client. By listing and beginning a watch from the returned resourceVersion, openshift.clients may observe a consistent view of the state of one or more objects. Note that WATCH always returns the update after the provided resourceVersion. Watch may be extended a limited time in the past - using etcd 2 the watch window is 1000 events (which on a large cluster may only be a few tens of seconds) so openshift.clients must explicitly handle the \"watch to old error\" by re-listing. Objects are divided into two rough categories - those that have a lifecycle and must reflect the state of the cluster, and those that have no state. Objects with lifecycle typically have three main sections: * 'metadata' common to all objects * a 'spec' that represents the desired state * a 'status' that represents how much of the desired state is reflected on the cluster at the current time Objects that have no state have 'metadata' but may lack a 'spec' or 'status' section. Objects are divided into those that are namespace scoped (only exist inside of a namespace) and those that are cluster scoped (exist outside of a namespace). A namespace scoped resource will be deleted when the namespace is deleted and cannot be created if the namespace has not yet been created or is in the process of deletion. Cluster scoped resources are typically only accessible to admins - resources like nodes, persistent volumes, and cluster policy. All objects have a schema that is a combination of the 'kind' and 'apiVersion' fields. This schema is additive only for any given version - no backwards incompatible changes are allowed without incrementing the apiVersion. The server will return and accept a number of standard responses that share a common schema - for instance, the common error type is 'unversioned.Status' (described below) and will be returned on any error from the API server. The API is available in multiple serialization formats - the default is JSON (Accept: application/json and Content-Type: application/json) but openshift.clients may also use YAML (application/yaml) or the native Protobuf schema (application/vnd.kubernetes.protobuf). Note that the format of the WATCH API call is slightly different - for JSON it returns newline delimited objects while for Protobuf it returns length-delimited frames (4 bytes in network-order) that contain a 'versioned.Watch' Protobuf object. See the OpenShift documentation at https://docs.openshift.org for more information.
OpenAPI spec version: v3.6.0-alpha.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import os
import sys
import unittest
import openshift.client
from kubernetes.client.rest import ApiException
from openshift.client.apis.image_openshift_io_v1_api import ImageOpenshiftIoV1Api
class TestImageOpenshiftIoV1Api(unittest.TestCase):
""" ImageOpenshiftIoV1Api unit test stubs """
def setUp(self):
self.api = openshift.client.apis.image_openshift_io_v1_api.ImageOpenshiftIoV1Api()
def tearDown(self):
pass
def test_create_image_openshift_io_v1_image(self):
"""
Test case for create_image_openshift_io_v1_image
"""
pass
def test_create_image_openshift_io_v1_image_signature(self):
"""
Test case for create_image_openshift_io_v1_image_signature
"""
pass
def test_create_image_openshift_io_v1_image_stream_for_all_namespaces(self):
"""
Test case for create_image_openshift_io_v1_image_stream_for_all_namespaces
"""
pass
def test_create_image_openshift_io_v1_image_stream_import_for_all_namespaces(self):
"""
Test case for create_image_openshift_io_v1_image_stream_import_for_all_namespaces
"""
pass
def test_create_image_openshift_io_v1_image_stream_mapping_for_all_namespaces(self):
"""
Test case for create_image_openshift_io_v1_image_stream_mapping_for_all_namespaces
"""
pass
def test_create_image_openshift_io_v1_image_stream_tag_for_all_namespaces(self):
"""
Test case for create_image_openshift_io_v1_image_stream_tag_for_all_namespaces
"""
pass
def test_create_image_openshift_io_v1_namespaced_image_stream(self):
"""
Test case for create_image_openshift_io_v1_namespaced_image_stream
"""
pass
def test_create_image_openshift_io_v1_namespaced_image_stream_import(self):
"""
Test case for create_image_openshift_io_v1_namespaced_image_stream_import
"""
pass
def test_create_image_openshift_io_v1_namespaced_image_stream_mapping(self):
"""
Test case for create_image_openshift_io_v1_namespaced_image_stream_mapping
"""
pass
def test_create_image_openshift_io_v1_namespaced_image_stream_tag(self):
"""
Test case for create_image_openshift_io_v1_namespaced_image_stream_tag
"""
pass
def test_delete_image_openshift_io_v1_collection_image(self):
"""
Test case for delete_image_openshift_io_v1_collection_image
"""
pass
def test_delete_image_openshift_io_v1_collection_namespaced_image_stream(self):
"""
Test case for delete_image_openshift_io_v1_collection_namespaced_image_stream
"""
pass
def test_delete_image_openshift_io_v1_image(self):
"""
Test case for delete_image_openshift_io_v1_image
"""
pass
def test_delete_image_openshift_io_v1_image_signature(self):
"""
Test case for delete_image_openshift_io_v1_image_signature
"""
pass
def test_delete_image_openshift_io_v1_namespaced_image_stream(self):
"""
Test case for delete_image_openshift_io_v1_namespaced_image_stream
"""
pass
def test_delete_image_openshift_io_v1_namespaced_image_stream_tag(self):
"""
Test case for delete_image_openshift_io_v1_namespaced_image_stream_tag
"""
pass
def test_get_image_openshift_io_v1_api_resources(self):
"""
Test case for get_image_openshift_io_v1_api_resources
"""
pass
def test_list_image_openshift_io_v1_image(self):
"""
Test case for list_image_openshift_io_v1_image
"""
pass
def test_list_image_openshift_io_v1_image_stream_for_all_namespaces(self):
"""
Test case for list_image_openshift_io_v1_image_stream_for_all_namespaces
"""
pass
def test_list_image_openshift_io_v1_image_stream_tag_for_all_namespaces(self):
"""
Test case for list_image_openshift_io_v1_image_stream_tag_for_all_namespaces
"""
pass
def test_list_image_openshift_io_v1_namespaced_image_stream(self):
"""
Test case for list_image_openshift_io_v1_namespaced_image_stream
"""
pass
def test_list_image_openshift_io_v1_namespaced_image_stream_tag(self):
"""
Test case for list_image_openshift_io_v1_namespaced_image_stream_tag
"""
pass
def test_patch_image_openshift_io_v1_image(self):
"""
Test case for patch_image_openshift_io_v1_image
"""
pass
def test_patch_image_openshift_io_v1_namespaced_image_stream(self):
"""
Test case for patch_image_openshift_io_v1_namespaced_image_stream
"""
pass
def test_patch_image_openshift_io_v1_namespaced_image_stream_status(self):
"""
Test case for patch_image_openshift_io_v1_namespaced_image_stream_status
"""
pass
def test_patch_image_openshift_io_v1_namespaced_image_stream_tag(self):
"""
Test case for patch_image_openshift_io_v1_namespaced_image_stream_tag
"""
pass
def test_read_image_openshift_io_v1_image(self):
"""
Test case for read_image_openshift_io_v1_image
"""
pass
def test_read_image_openshift_io_v1_namespaced_image_stream(self):
"""
Test case for read_image_openshift_io_v1_namespaced_image_stream
"""
pass
def test_read_image_openshift_io_v1_namespaced_image_stream_image(self):
"""
Test case for read_image_openshift_io_v1_namespaced_image_stream_image
"""
pass
def test_read_image_openshift_io_v1_namespaced_image_stream_status(self):
"""
Test case for read_image_openshift_io_v1_namespaced_image_stream_status
"""
pass
def test_read_image_openshift_io_v1_namespaced_image_stream_tag(self):
"""
Test case for read_image_openshift_io_v1_namespaced_image_stream_tag
"""
pass
def test_read_image_openshift_io_v1_namespaced_secret_list_secrets(self):
"""
Test case for read_image_openshift_io_v1_namespaced_secret_list_secrets
"""
pass
def test_replace_image_openshift_io_v1_image(self):
"""
Test case for replace_image_openshift_io_v1_image
"""
pass
def test_replace_image_openshift_io_v1_namespaced_image_stream(self):
"""
Test case for replace_image_openshift_io_v1_namespaced_image_stream
"""
pass
def test_replace_image_openshift_io_v1_namespaced_image_stream_status(self):
"""
Test case for replace_image_openshift_io_v1_namespaced_image_stream_status
"""
pass
def test_replace_image_openshift_io_v1_namespaced_image_stream_tag(self):
"""
Test case for replace_image_openshift_io_v1_namespaced_image_stream_tag
"""
pass
if __name__ == '__main__':
unittest.main()
| 34.249231
| 3,380
| 0.715479
| 1,471
| 11,131
| 5.013596
| 0.190347
| 0.140475
| 0.160542
| 0.18061
| 0.568814
| 0.568814
| 0.568814
| 0.559864
| 0.544542
| 0.488271
| 0
| 0.010516
| 0.239691
| 11,131
| 324
| 3,381
| 34.354938
| 0.860924
| 0.535981
| 0
| 0.430233
| 0
| 0
| 0.00203
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.44186
| false
| 0.430233
| 0.104651
| 0
| 0.55814
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 5
|
51d813be5ea4c881476a88db27b07aafd831f9e8
| 98
|
py
|
Python
|
results/sherpa_studies/start_sherpa_frontend.py
|
yimengmin/wiki-cs-dataset
|
4078c80e698c58e5cfb3ef19f2716f1032dced4d
|
[
"MIT"
] | 30
|
2020-07-05T12:04:24.000Z
|
2021-12-08T13:08:33.000Z
|
results/sherpa_studies/start_sherpa_frontend.py
|
yimengmin/wiki-cs-dataset
|
4078c80e698c58e5cfb3ef19f2716f1032dced4d
|
[
"MIT"
] | 4
|
2021-02-26T13:59:42.000Z
|
2022-01-09T23:22:09.000Z
|
results/sherpa_studies/start_sherpa_frontend.py
|
yimengmin/wiki-cs-dataset
|
4078c80e698c58e5cfb3ef19f2716f1032dced4d
|
[
"MIT"
] | 5
|
2020-07-07T09:21:57.000Z
|
2021-07-14T13:32:42.000Z
|
import sherpa
import sys
sherpa.core.Study.load_dashboard(sys.argv[1])
while True:
pass
| 12.25
| 45
| 0.72449
| 15
| 98
| 4.666667
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.0125
| 0.183673
| 98
| 7
| 46
| 14
| 0.8625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.2
| 0.4
| 0
| 0.4
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
|
0
| 5
|
51ed1f450f5c2e9116d1e102628234c8acd52cd5
| 51
|
py
|
Python
|
python_basics/Module & packages/basic/mymodule.py
|
alok8765/basic_python_practicse
|
9bd61f0b03fc1e703a75df39862a24692bb3fdb7
|
[
"MIT"
] | null | null | null |
python_basics/Module & packages/basic/mymodule.py
|
alok8765/basic_python_practicse
|
9bd61f0b03fc1e703a75df39862a24692bb3fdb7
|
[
"MIT"
] | null | null | null |
python_basics/Module & packages/basic/mymodule.py
|
alok8765/basic_python_practicse
|
9bd61f0b03fc1e703a75df39862a24692bb3fdb7
|
[
"MIT"
] | null | null | null |
def my_func():
print("Hey i am in mymodule.py")
| 25.5
| 36
| 0.647059
| 10
| 51
| 3.2
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.196078
| 51
| 2
| 36
| 25.5
| 0.780488
| 0
| 0
| 0
| 0
| 0
| 0.442308
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| true
| 0
| 0
| 0
| 0.5
| 0.5
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
cf99ad9c7199c43d556a3a6c11b158ea03a10b17
| 773
|
py
|
Python
|
src/prefect/environments/execution/__init__.py
|
vnsn/prefect
|
972345597975155dba9e3232bcc430d0a6258a37
|
[
"Apache-2.0"
] | 8,633
|
2019-03-23T17:51:03.000Z
|
2022-03-31T22:17:42.000Z
|
src/prefect/environments/execution/__init__.py
|
vnsn/prefect
|
972345597975155dba9e3232bcc430d0a6258a37
|
[
"Apache-2.0"
] | 3,903
|
2019-03-23T19:11:21.000Z
|
2022-03-31T23:21:23.000Z
|
src/prefect/environments/execution/__init__.py
|
vnsn/prefect
|
972345597975155dba9e3232bcc430d0a6258a37
|
[
"Apache-2.0"
] | 937
|
2019-03-23T18:49:44.000Z
|
2022-03-31T21:45:13.000Z
|
"""
Execution environments encapsulate the logic for where your Flow should execute in Prefect Cloud.
DEPRECATED: Environment based configuration is deprecated, please transition to
configuring `flow.run_config` instead of `flow.environment`. See
https://docs.prefect.io/orchestration/flow_config/overview.html for more info.
"""
from prefect.environments.execution.base import Environment, load_and_run_flow
from prefect.environments.execution.dask import DaskKubernetesEnvironment
from prefect.environments.execution.dask import DaskCloudProviderEnvironment
from prefect.environments.execution.fargate import FargateTaskEnvironment
from prefect.environments.execution.k8s import KubernetesJobEnvironment
from prefect.environments.execution.local import LocalEnvironment
| 55.214286
| 97
| 0.862872
| 90
| 773
| 7.355556
| 0.555556
| 0.099698
| 0.208459
| 0.29003
| 0.126888
| 0.126888
| 0
| 0
| 0
| 0
| 0
| 0.001404
| 0.078913
| 773
| 13
| 98
| 59.461538
| 0.928371
| 0.416559
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
3207c9319a811fe99f49e82e377ba3c9bf004132
| 37
|
py
|
Python
|
complaints/forms.py
|
Three-Dev-Musketeers/Mumbai_Police
|
293fbc1d81db459c23649c9c6b1eef8c38da1939
|
[
"MIT"
] | 5
|
2021-02-19T20:37:35.000Z
|
2021-12-19T06:41:50.000Z
|
complaints/forms.py
|
Divesh2201/Mumbai_Police
|
dfabf8494de2c790178541ee20d37d3002ca12af
|
[
"MIT"
] | 1
|
2021-10-04T17:37:51.000Z
|
2021-10-05T10:50:36.000Z
|
complaints/forms.py
|
Divesh2201/Mumbai_Police
|
dfabf8494de2c790178541ee20d37d3002ca12af
|
[
"MIT"
] | 4
|
2021-03-05T05:44:20.000Z
|
2021-04-25T17:23:16.000Z
|
from django.forms import ModelForm
| 9.25
| 34
| 0.810811
| 5
| 37
| 6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.162162
| 37
| 3
| 35
| 12.333333
| 0.967742
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
32104f4e311e84be738def4f129964e48460c0d9
| 5,152
|
py
|
Python
|
tests/testLock.py
|
geek-plus/vlcp
|
e7936e00929fcef00c04d4da39b67d9679d5f083
|
[
"Apache-2.0"
] | 1
|
2016-09-10T12:09:29.000Z
|
2016-09-10T12:09:29.000Z
|
tests/testLock.py
|
wan-qy/vlcp
|
e7936e00929fcef00c04d4da39b67d9679d5f083
|
[
"Apache-2.0"
] | null | null | null |
tests/testLock.py
|
wan-qy/vlcp
|
e7936e00929fcef00c04d4da39b67d9679d5f083
|
[
"Apache-2.0"
] | null | null | null |
'''
Created on 2015/12/14
:author: hubo
'''
from __future__ import print_function
import unittest
from vlcp.server.server import Server
from vlcp.event.runnable import RoutineContainer
from vlcp.event.lock import Lock, Semaphore
from vlcp.config.config import manager
class Test(unittest.TestCase):
def setUp(self):
self.server = Server()
def tearDown(self):
pass
def testLock(self):
rc = RoutineContainer(self.server.scheduler)
obj = [0]
def routineLock(key):
l = Lock(key, rc.scheduler)
for m in l.lock(rc):
yield m
t = obj[0]
for m in rc.waitWithTimeout(0.5):
yield m
obj[0] = t + 1
l.unlock()
rc.subroutine(routineLock('testobj'))
rc.subroutine(routineLock('testobj'))
self.server.serve()
self.assertEqual(obj[0], 2)
def testWith(self):
rc = RoutineContainer(self.server.scheduler)
obj = [0]
def routineLock(key):
l = Lock(key, rc.scheduler)
for m in l.lock(rc):
yield m
with l:
t = obj[0]
for m in rc.waitWithTimeout(0.5):
yield m
obj[0] = t + 1
rc.subroutine(routineLock('testobj'))
rc.subroutine(routineLock('testobj'))
self.server.serve()
self.assertEqual(obj[0], 2)
def testLock2(self):
rc = RoutineContainer(self.server.scheduler)
obj = [0]
def routineLock(key):
l = Lock(key, rc.scheduler)
for m in l.lock(rc):
yield m
t = obj[0]
for m in rc.waitWithTimeout(0.5):
yield m
obj[0] = t + 1
l.unlock()
rc.subroutine(routineLock('testobj'))
rc.subroutine(routineLock('testobj2'))
self.server.serve()
self.assertEqual(obj[0], 1)
def testTrylock(self):
rc = RoutineContainer(self.server.scheduler)
result = []
def routineTrylock(key):
l = Lock(key, rc.scheduler)
locked = l.trylock()
result.append(locked)
for m in rc.waitWithTimeout(0.5):
yield m
l.unlock()
rc.subroutine(routineTrylock('testobj'))
rc.subroutine(routineTrylock('testobj'))
self.server.serve()
self.assertEqual(result, [True, False])
def testBeginlock(self):
rc = RoutineContainer(self.server.scheduler)
obj = [0]
def routineLock(key):
l = Lock(key, rc.scheduler)
locked = l.beginlock(rc)
if not locked:
for m in rc.waitWithTimeout(1.0):
yield m
locked = l.trylock()
if not locked:
raise ValueError('Not locked')
t = obj[0]
for m in rc.waitWithTimeout(0.5):
yield m
obj[0] = t + 1
l.unlock()
for m in rc.doEvents():
yield m
for m in l.lock(rc):
yield m
t = obj[0]
for m in rc.waitWithTimeout(1.0):
yield m
obj[0] = t + 1
l.unlock()
rc.subroutine(routineLock('testobj'))
rc.subroutine(routineLock('testobj'))
self.server.serve()
self.assertEqual(obj[0], 4)
def testBeginlock2(self):
rc = RoutineContainer(self.server.scheduler)
obj = [0]
def routineLock(key):
l = Lock(key, rc.scheduler)
locked = l.beginlock(rc)
if not locked:
for m in rc.waitWithTimeout(0.5):
yield m
for m in l.lock(rc):
yield m
t = obj[0]
for m in rc.waitWithTimeout(1.0):
yield m
obj[0] = t + 1
l.unlock()
for m in rc.doEvents():
yield m
for m in l.lock(rc):
yield m
t = obj[0]
if t != 2:
obj[0] = t - 1
l.unlock()
rc.subroutine(routineLock('testobj'))
rc.subroutine(routineLock('testobj'))
self.server.serve()
self.assertEqual(obj[0], 2)
def testSemaphore(self):
rc = RoutineContainer(self.server.scheduler)
obj = [0]
smp = Semaphore('testobj', 2, rc.scheduler)
smp.create()
def routineLock(key):
l = Lock(key, rc.scheduler)
for m in l.lock(rc):
yield m
t = obj[0]
for m in rc.waitWithTimeout(0.5):
yield m
obj[0] = t + 1
l.unlock()
rc.subroutine(routineLock('testobj'))
rc.subroutine(routineLock('testobj'))
rc.subroutine(routineLock('testobj'))
rc.subroutine(routineLock('testobj'))
self.server.serve()
self.assertEqual(obj[0], 2)
if __name__ == "__main__":
#import sys;sys.argv = ['', 'Test.testName']
unittest.main()
| 31.607362
| 52
| 0.500582
| 584
| 5,152
| 4.393836
| 0.138699
| 0.043648
| 0.044427
| 0.151988
| 0.744739
| 0.744739
| 0.714341
| 0.701091
| 0.672253
| 0.669135
| 0
| 0.023772
| 0.387616
| 5,152
| 163
| 53
| 31.607362
| 0.78954
| 0.015528
| 0
| 0.784314
| 0
| 0
| 0.027246
| 0
| 0
| 0
| 0
| 0
| 0.045752
| 1
| 0.104575
| false
| 0.006536
| 0.039216
| 0
| 0.150327
| 0.006536
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
321a677bc86f6867f322f039ff7af55885cb61d6
| 108
|
py
|
Python
|
desafio021.py
|
RickChaves29/Desafios-Python
|
9d67036ca2ba9c6db2a649a381cac832ac83035f
|
[
"MIT"
] | null | null | null |
desafio021.py
|
RickChaves29/Desafios-Python
|
9d67036ca2ba9c6db2a649a381cac832ac83035f
|
[
"MIT"
] | null | null | null |
desafio021.py
|
RickChaves29/Desafios-Python
|
9d67036ca2ba9c6db2a649a381cac832ac83035f
|
[
"MIT"
] | null | null | null |
import pygame
pygame.int()
pygame.mixer.music.load('mus.wav')
pygame.mixer.music.play()
pygame.event.wait()
| 18
| 34
| 0.759259
| 17
| 108
| 4.823529
| 0.647059
| 0.268293
| 0.390244
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.055556
| 108
| 5
| 35
| 21.6
| 0.803922
| 0
| 0
| 0
| 0
| 0
| 0.064815
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.2
| 0
| 0.2
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
5c5a7bc210161001a104c32fd99fc7efc61f204e
| 119
|
py
|
Python
|
jobhunter/admin.py
|
alexhyang/portfolio
|
77a489cdc8a658e0a7334ad1a40821d1943da9c1
|
[
"MIT"
] | null | null | null |
jobhunter/admin.py
|
alexhyang/portfolio
|
77a489cdc8a658e0a7334ad1a40821d1943da9c1
|
[
"MIT"
] | null | null | null |
jobhunter/admin.py
|
alexhyang/portfolio
|
77a489cdc8a658e0a7334ad1a40821d1943da9c1
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from .models import Posting
# Register your models here.
admin.site.register(Posting)
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| 32
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| 17
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| 5.705882
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|
0
| 5
|
5cb7c6beb0e5f753cb7807deb732ba6f531833e1
| 128
|
py
|
Python
|
bin/apache-hive-3.1.2-bin/lib/py/thrift/__init__.py
|
ptrick/hdfs-hive-sql-playground
|
83f2aaa79f022a3c320939eace1fd2d06583187f
|
[
"Apache-2.0"
] | null | null | null |
bin/apache-hive-3.1.2-bin/lib/py/thrift/__init__.py
|
ptrick/hdfs-hive-sql-playground
|
83f2aaa79f022a3c320939eace1fd2d06583187f
|
[
"Apache-2.0"
] | null | null | null |
bin/apache-hive-3.1.2-bin/lib/py/thrift/__init__.py
|
ptrick/hdfs-hive-sql-playground
|
83f2aaa79f022a3c320939eace1fd2d06583187f
|
[
"Apache-2.0"
] | null | null | null |
version https://git-lfs.github.com/spec/v1
oid sha256:4483dc4e2110743c7c39245cfd5626a1e46f9b4007e129bbf2b7c923d52056ea
size 817
| 32
| 75
| 0.882813
| 13
| 128
| 8.692308
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|
0
| 5
|
5cd4da743fe378f38dbba8d2979b2bf609b1a278
| 180
|
py
|
Python
|
tmp/httprunner/debugtalk2.py
|
hanzhichao/runnerz
|
3a42b7281972871b16c6347a2e233c5215047b08
|
[
"MIT"
] | null | null | null |
tmp/httprunner/debugtalk2.py
|
hanzhichao/runnerz
|
3a42b7281972871b16c6347a2e233c5215047b08
|
[
"MIT"
] | 2
|
2021-03-31T19:45:39.000Z
|
2021-12-13T20:43:55.000Z
|
tmp/tests/debugtalk.py
|
hanzhichao/runnerz
|
3a42b7281972871b16c6347a2e233c5215047b08
|
[
"MIT"
] | null | null | null |
def add(a,b):
return a+b
def setup(request):
print('setup')
print(request)
def teardown(response):
print('teardown')
# print(response.resp_obj.text) # 原始请求文本
| 18
| 45
| 0.644444
| 25
| 180
| 4.6
| 0.56
| 0.034783
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| 180
| 10
| 45
| 18
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| 1
|
0
| 5
|
5cd983b4bc6e39be8caaea36796b0643f9db5dab
| 3,107
|
py
|
Python
|
battleship/battleship.py
|
johncoleman83/codewars
|
5757703c1498a42a9e7f32bfa8938ca804dbdfeb
|
[
"MIT"
] | null | null | null |
battleship/battleship.py
|
johncoleman83/codewars
|
5757703c1498a42a9e7f32bfa8938ca804dbdfeb
|
[
"MIT"
] | 1
|
2022-01-06T20:33:46.000Z
|
2022-01-06T20:33:46.000Z
|
battleship/battleship.py
|
johncoleman83/codewars
|
5757703c1498a42a9e7f32bfa8938ca804dbdfeb
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python3
def ship_size(row, i):
size = 0
if 0 <= i < 10 and row[i] == 1:
row[i] = 0
size += 1 + ship_size(row, i + 1) + ship_size(row, i - 1)
return size
def check_diagonals(f):
coords = {}
for r in range(10):
for c in range(10):
coords[(r, c)] = f[r][c]
for coord, val in coords.items():
if val == 1:
r, c = coord[0], coord[1]
diagonals = [
coords.get((r - 1, c - 1), 0), coords.get((r - 1, c + 1), 0),
coords.get((r + 1, c - 1), 0), coords.get((r + 1, c + 1), 0)
]
if any(diagonals): return False
return True
def validateBattlefield(f):
if check_diagonals(f) is False: return False
fr = list(zip(*f[::-1]))
for r in range(10): fr[r] = list(fr[r])
ships, subs = [4, 3, 3, 2, 2, 2], 4
while len(ships) > 0:
pre_ships = len(ships) + subs
r = 0
while r < 10:
c = 0
while c < 10:
if f[r][c] == 1:
c_r, c_c = c, 9 - r
count_r = ship_size(f[r].copy(), c)
count_c = ship_size(fr[c_r].copy(), c_c)
count = max(count_r, count_c)
if count_r > 1 and count_c > 1: return False
if count_r == 1 and count_c == 1:
subs -= 1
ship_size(f[r], c)
ship_size(fr[c_r], c_c)
if len(ships) > 0 and count == ships[0]:
if len(ships) > 0: del ships[0]
else: return False
ship_size(f[r], c)
ship_size(fr[c_r], c_c)
c += 1
r += 1
if pre_ships == len(ships) + subs: return False
if len(ships) == 0 and subs == 0: return True
return False
battleField = [
[1, 0, 0, 0, 0, 1, 1, 0, 0, 0],
[1, 0, 1, 0, 0, 0, 0, 0, 1, 0],
[1, 0, 1, 0, 1, 1, 1, 0, 1, 0],
[1, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 1, 0],
[0, 0, 0, 0, 1, 1, 1, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 1, 0],
[0, 0, 0, 1, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 1, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
]
battleField2 = [
[1, 0, 0, 0, 0, 1, 1, 0, 0, 0],
[1, 0, 0, 0, 0, 0, 0, 0, 1, 0],
[1, 1, 0, 0, 1, 1, 1, 0, 1, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 1, 0],
[0, 0, 0, 0, 1, 1, 1, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 1, 0],
[0, 1, 0, 1, 0, 0, 0, 0, 0, 0],
[0, 1, 0, 0, 0, 0, 0, 1, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
]
battleField3 = [
[1, 0, 0, 0, 0, 1, 1, 0, 0, 0],
[1, 0, 1, 0, 0, 0, 0, 0, 1, 0],
[1, 0, 1, 0, 1, 1, 1, 0, 1, 0],
[1, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 1, 0],
[0, 0, 0, 0, 1, 1, 1, 0, 0, 0],
[0, 0, 0, 1, 0, 0, 0, 0, 1, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 1, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
]
valid = validateBattlefield(battleField3)
print(valid)
| 31.704082
| 77
| 0.38365
| 591
| 3,107
| 1.967851
| 0.093063
| 0.337059
| 0.430782
| 0.481513
| 0.50215
| 0.415305
| 0.380052
| 0.377472
| 0.343938
| 0.343938
| 0
| 0.199561
| 0.412939
| 3,107
| 97
| 78
| 32.030928
| 0.438048
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| 0.033708
| false
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| 0.011236
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| 0
| 0
| 0
|
0
| 5
|
7a75b759259dac5df09438dc22be9316ec5e2bd8
| 23
|
py
|
Python
|
src/netatmo/__init__.py
|
elcombato/netatmo
|
14b03eb31a0cca0fe58195393cd167ec20212c7d
|
[
"Unlicense"
] | 33
|
2016-11-22T22:42:08.000Z
|
2022-03-31T18:25:24.000Z
|
src/netatmo/__init__.py
|
elcombato/netatmo
|
14b03eb31a0cca0fe58195393cd167ec20212c7d
|
[
"Unlicense"
] | 11
|
2018-04-19T11:57:01.000Z
|
2022-02-01T17:08:56.000Z
|
src/netatmo/__init__.py
|
elcombato/netatmo
|
14b03eb31a0cca0fe58195393cd167ec20212c7d
|
[
"Unlicense"
] | 24
|
2018-02-20T12:49:42.000Z
|
2021-09-06T10:14:19.000Z
|
from .netatmo import *
| 11.5
| 22
| 0.73913
| 3
| 23
| 5.666667
| 1
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|
0
| 5
|
7a8528678f449fc6681fb79f2a58010d0276290a
| 209
|
py
|
Python
|
src/trainers/__init__.py
|
pomelyu/ML_HW
|
b87697f3ee86592a34d80c8dbf167a5767731630
|
[
"MIT"
] | null | null | null |
src/trainers/__init__.py
|
pomelyu/ML_HW
|
b87697f3ee86592a34d80c8dbf167a5767731630
|
[
"MIT"
] | null | null | null |
src/trainers/__init__.py
|
pomelyu/ML_HW
|
b87697f3ee86592a34d80c8dbf167a5767731630
|
[
"MIT"
] | null | null | null |
from .classification_trainer import ClassificationTrainer
from .gan_trainer import GANTrainer
from .regression_trainer import RegressionTrainer
from .trainer import Trainer
from .hw3_trainer import HW3Trainer
| 34.833333
| 57
| 0.880383
| 24
| 209
| 7.5
| 0.458333
| 0.361111
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.010582
| 0.095694
| 209
| 5
| 58
| 41.8
| 0.941799
| 0
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| 0
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| 0
| 0
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| 1
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| true
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
7a99cf695073e20147d0e7b560063ec5d6000fca
| 168
|
py
|
Python
|
tasks/admin.py
|
housepig7/ops
|
ed1dc6f6e160e2a4a414c1eeeee78ded02597013
|
[
"Apache-2.0"
] | 394
|
2017-09-08T04:19:06.000Z
|
2022-03-25T16:43:22.000Z
|
tasks/admin.py
|
kevin4shey/autoops
|
5e717a2d86dd37cd2cfaf6db3d9613a0c41c49ae
|
[
"Apache-2.0"
] | 9
|
2017-10-11T02:20:55.000Z
|
2022-03-25T09:43:08.000Z
|
tasks/admin.py
|
kevin4shey/autoops
|
5e717a2d86dd37cd2cfaf6db3d9613a0c41c49ae
|
[
"Apache-2.0"
] | 218
|
2017-09-10T08:10:55.000Z
|
2022-03-16T08:54:27.000Z
|
from django.contrib import admin
# Register your models here.
from .models import history,toolsscript
admin.site.register(history)
admin.site.register(toolsscript)
| 18.666667
| 40
| 0.809524
| 22
| 168
| 6.181818
| 0.545455
| 0.132353
| 0.25
| 0
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| 0
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| 0.113095
| 168
| 9
| 41
| 18.666667
| 0.912752
| 0.154762
| 0
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| null | 0
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| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
8f8e026c95b97103043293836bde9dd47532a4fd
| 200
|
py
|
Python
|
armstrong/core/arm_content/mixins/__init__.py
|
cirlabs/armstrong.core.arm_content
|
91b2022bc19f0ddb10402d928c9b68c9faf242b6
|
[
"Apache-2.0"
] | null | null | null |
armstrong/core/arm_content/mixins/__init__.py
|
cirlabs/armstrong.core.arm_content
|
91b2022bc19f0ddb10402d928c9b68c9faf242b6
|
[
"Apache-2.0"
] | null | null | null |
armstrong/core/arm_content/mixins/__init__.py
|
cirlabs/armstrong.core.arm_content
|
91b2022bc19f0ddb10402d928c9b68c9faf242b6
|
[
"Apache-2.0"
] | null | null | null |
import pkg_resources
pkg_resources.declare_namespace(__name__)
from .authors import AuthorsMixin
from .images import *
from .publication import PublicationMixin
from .video import EmbeddedVideoMixin
| 25
| 41
| 0.86
| 23
| 200
| 7.173913
| 0.608696
| 0.145455
| 0
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| 0
| 0.1
| 200
| 7
| 42
| 28.571429
| 0.916667
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| 0.833333
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| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
8fec60a8567dd19c25b319855cd1ae8d78b8faef
| 142
|
py
|
Python
|
fastfunc/divide.py
|
nschloe/fastfunc
|
a5dca6d4b7b2f98b870215911eece2ba4652d403
|
[
"MIT"
] | 10
|
2018-07-02T17:10:37.000Z
|
2021-01-31T13:52:24.000Z
|
fastfunc/divide.py
|
nschloe/fastfunc
|
a5dca6d4b7b2f98b870215911eece2ba4652d403
|
[
"MIT"
] | 7
|
2018-05-24T13:15:30.000Z
|
2021-02-05T10:11:03.000Z
|
fastfunc/divide.py
|
nschloe/fastfunc
|
a5dca6d4b7b2f98b870215911eece2ba4652d403
|
[
"MIT"
] | null | null | null |
from _fastfunc import _divide_at
from .helpers import _operator_at
def at(a, k, vals):
_operator_at(_divide_at, a, k, vals)
return
| 15.777778
| 40
| 0.725352
| 23
| 142
| 4.086957
| 0.521739
| 0.170213
| 0.085106
| 0.170213
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.197183
| 142
| 8
| 41
| 17.75
| 0.824561
| 0
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| 0
| 0
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| 0.2
| false
| 0
| 0.4
| 0
| 0.8
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| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 1
| 0
| 0
| 0
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
89107a84cdd4a9134c9440f0812452a774eacd16
| 112
|
py
|
Python
|
falconcv/models/__init__.py
|
haruiz/FalconCV
|
0c9444451a60c8f6375c30426811160ae79b02ba
|
[
"Apache-2.0"
] | 16
|
2020-06-05T01:26:04.000Z
|
2020-09-18T23:56:14.000Z
|
falconcv/models/__init__.py
|
haruiz/FalconCV
|
0c9444451a60c8f6375c30426811160ae79b02ba
|
[
"Apache-2.0"
] | 13
|
2020-06-01T17:35:22.000Z
|
2020-09-22T23:19:27.000Z
|
falconcv/models/__init__.py
|
haruiz/FalconCV
|
0c9444451a60c8f6375c30426811160ae79b02ba
|
[
"Apache-2.0"
] | 2
|
2020-06-06T06:10:58.000Z
|
2020-06-08T07:19:24.000Z
|
from .api_installer import ApiInstaller
from .model_builder import ModelBuilder
from .api_model import ApiModel
| 28
| 39
| 0.866071
| 15
| 112
| 6.266667
| 0.6
| 0.148936
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.107143
| 112
| 3
| 40
| 37.333333
| 0.94
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
64eb8fc09fc7346848da8a3026318e6bdf617656
| 139
|
py
|
Python
|
src/decorators/overrides.py
|
ZelphirKaltstahl/QuestionsAndAnswers
|
3edb7ef8357706d94fcbc060d966186e933112c8
|
[
"MIT"
] | null | null | null |
src/decorators/overrides.py
|
ZelphirKaltstahl/QuestionsAndAnswers
|
3edb7ef8357706d94fcbc060d966186e933112c8
|
[
"MIT"
] | null | null | null |
src/decorators/overrides.py
|
ZelphirKaltstahl/QuestionsAndAnswers
|
3edb7ef8357706d94fcbc060d966186e933112c8
|
[
"MIT"
] | null | null | null |
def overrides(interface_class):
def overrider(method):
assert(method.__name__ in dir(interface_class))
return method
return overrider
| 27.8
| 49
| 0.805755
| 18
| 139
| 5.888889
| 0.611111
| 0.264151
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.115108
| 139
| 5
| 50
| 27.8
| 0.861789
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2
| 1
| 0.4
| false
| 0
| 0
| 0
| 0.8
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 5
|
64ef1b2048241c8ff4eb4c687aa7e4c12001e6db
| 317
|
py
|
Python
|
colight-master/run_batch.py
|
utkachenko/Con-MATSCo
|
4f8a0299feb8d523462c9ed998c7cb498d99d4a2
|
[
"Apache-2.0"
] | 1
|
2022-03-15T19:15:51.000Z
|
2022-03-15T19:15:51.000Z
|
colight-master/run_batch.py
|
utkachenko/Con-MATSCo
|
4f8a0299feb8d523462c9ed998c7cb498d99d4a2
|
[
"Apache-2.0"
] | null | null | null |
colight-master/run_batch.py
|
utkachenko/Con-MATSCo
|
4f8a0299feb8d523462c9ed998c7cb498d99d4a2
|
[
"Apache-2.0"
] | null | null | null |
import runexp
import testexp
import summary
memo = "multi_phase/sumo/pipeline"
runexp.main(memo)
print("****************************** runexp ends (generate, train, test)!! ******************************")
summary.main(memo)
print("****************************** summary_detail ends ******************************")
| 31.7
| 108
| 0.470032
| 27
| 317
| 5.444444
| 0.592593
| 0.108844
| 0.176871
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.072555
| 317
| 10
| 109
| 31.7
| 0.5
| 0
| 0
| 0
| 1
| 0
| 0.644654
| 0.455975
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.375
| 0
| 0.375
| 0.25
| 1
| 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
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
8f1057241afa925eeac6771ba54217fa7151dae6
| 42
|
py
|
Python
|
kloppy_spark/sinks/__init__.py
|
deepsports-io/kloppy-spark
|
47bf1ed8b258e7354075d3ba6373cbc4cbd33a75
|
[
"BSD-3-Clause"
] | null | null | null |
kloppy_spark/sinks/__init__.py
|
deepsports-io/kloppy-spark
|
47bf1ed8b258e7354075d3ba6373cbc4cbd33a75
|
[
"BSD-3-Clause"
] | 2
|
2020-12-22T21:33:27.000Z
|
2020-12-28T13:06:32.000Z
|
kloppy_spark/sinks/__init__.py
|
deepsports-io/kloppy-spark
|
47bf1ed8b258e7354075d3ba6373cbc4cbd33a75
|
[
"BSD-3-Clause"
] | null | null | null |
from .show_dataframe import ShowDataFrame
| 21
| 41
| 0.880952
| 5
| 42
| 7.2
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.095238
| 42
| 1
| 42
| 42
| 0.947368
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
8f2dfe36a7ccd0163606dad67fc16995405ee2a1
| 337
|
py
|
Python
|
octicons16px/check_circle_fill.py
|
andrewp-as-is/octicons16px.py
|
1272dc9f290619d83bd881e87dbd723b0c48844c
|
[
"Unlicense"
] | 1
|
2021-01-28T06:47:39.000Z
|
2021-01-28T06:47:39.000Z
|
octicons16px/check_circle_fill.py
|
andrewp-as-is/octicons16px.py
|
1272dc9f290619d83bd881e87dbd723b0c48844c
|
[
"Unlicense"
] | null | null | null |
octicons16px/check_circle_fill.py
|
andrewp-as-is/octicons16px.py
|
1272dc9f290619d83bd881e87dbd723b0c48844c
|
[
"Unlicense"
] | null | null | null |
OCTICON_CHECK_CIRCLE_FILL = """
<svg class="octicon octicon-circle-fill" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16" width="16" height="16"><path fill-rule="evenodd" d="M8 16A8 8 0 108 0a8 8 0 000 16zm3.78-9.72a.75.75 0 00-1.06-1.06L6.75 9.19 5.28 7.72a.75.75 0 00-1.06 1.06l2 2a.75.75 0 001.06 0l4.5-4.5z"></path></svg>
"""
| 67.4
| 299
| 0.673591
| 79
| 337
| 2.835443
| 0.582278
| 0.053571
| 0.066964
| 0.071429
| 0.125
| 0.125
| 0.125
| 0.125
| 0
| 0
| 0
| 0.314381
| 0.11276
| 337
| 4
| 300
| 84.25
| 0.434783
| 0
| 0
| 0
| 0
| 0.333333
| 0.895833
| 0.074405
| 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
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
8f520520746e38be0ec8aeb786635f0c781f643d
| 19
|
py
|
Python
|
tools/python/boutiques/__version__.py
|
glatard/boutiques
|
a75de1b2fcf96e0eb196974ee2376b014972e847
|
[
"MIT"
] | 2
|
2016-11-01T15:08:37.000Z
|
2018-09-07T20:56:43.000Z
|
tools/python/boutiques/__version__.py
|
glatard/boutiques
|
a75de1b2fcf96e0eb196974ee2376b014972e847
|
[
"MIT"
] | null | null | null |
tools/python/boutiques/__version__.py
|
glatard/boutiques
|
a75de1b2fcf96e0eb196974ee2376b014972e847
|
[
"MIT"
] | 1
|
2018-03-20T15:51:00.000Z
|
2018-03-20T15:51:00.000Z
|
VERSION = "0.5.23"
| 9.5
| 18
| 0.578947
| 4
| 19
| 2.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.25
| 0.157895
| 19
| 1
| 19
| 19
| 0.4375
| 0
| 0
| 0
| 0
| 0
| 0.315789
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
56c069f41efe0c074083f73bfe3d3cb9eb7e2d87
| 94
|
py
|
Python
|
a.py
|
JuYeong98/st-gcn
|
29d049d93ad6dad458f743a06791f04e520eedc0
|
[
"BSD-2-Clause"
] | 2
|
2021-08-06T06:08:06.000Z
|
2021-08-08T11:52:12.000Z
|
a.py
|
JuYeong98/st-gcn
|
29d049d93ad6dad458f743a06791f04e520eedc0
|
[
"BSD-2-Clause"
] | null | null | null |
a.py
|
JuYeong98/st-gcn
|
29d049d93ad6dad458f743a06791f04e520eedc0
|
[
"BSD-2-Clause"
] | null | null | null |
import os
print("before: %s"%os.getcwd())
os.chdir("/work_dir")
print("after: %s"%os.getcwd())
| 23.5
| 31
| 0.659574
| 16
| 94
| 3.8125
| 0.625
| 0.098361
| 0.295082
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.06383
| 94
| 4
| 32
| 23.5
| 0.693182
| 0
| 0
| 0
| 0
| 0
| 0.294737
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.25
| 0
| 0.25
| 0.5
| 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
| 1
|
0
| 5
|
710353ef8047fc0f6aec15c4cca7bfe5b9d81a0c
| 246
|
py
|
Python
|
barry/samplers/__init__.py
|
AaronGlanville/Barry
|
f181448b2ed10a8c08195e7e34819ceb8abfe532
|
[
"MIT"
] | 13
|
2019-07-29T20:39:20.000Z
|
2021-09-26T09:20:52.000Z
|
barry/samplers/__init__.py
|
AaronGlanville/Barry
|
f181448b2ed10a8c08195e7e34819ceb8abfe532
|
[
"MIT"
] | 1
|
2021-02-11T10:54:58.000Z
|
2021-02-11T10:54:58.000Z
|
barry/samplers/__init__.py
|
AaronGlanville/Barry
|
f181448b2ed10a8c08195e7e34819ceb8abfe532
|
[
"MIT"
] | 7
|
2019-08-26T04:54:00.000Z
|
2022-01-20T14:47:47.000Z
|
from barry.samplers.dynesty_sampler import DynestySampler
from barry.samplers.ensemble import EnsembleSampler
from barry.samplers.metropolisHastings import MetropolisHastings
__all__ = ["EnsembleSampler", "DynestySampler", "MetropolisHastings"]
| 41
| 69
| 0.857724
| 23
| 246
| 8.956522
| 0.478261
| 0.131068
| 0.247573
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.073171
| 246
| 5
| 70
| 49.2
| 0.903509
| 0
| 0
| 0
| 0
| 0
| 0.191057
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.75
| 0
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
71347db91ac6608b36a5dbcf02ec696791f3a2b3
| 430
|
py
|
Python
|
appzoo/apps_gradio/demo.py
|
SunYanCN/AppZoo
|
91b04cc75fcc5f70ae5819e98233ea9146c1f001
|
[
"MIT"
] | 5
|
2020-11-05T12:13:45.000Z
|
2021-11-19T12:26:49.000Z
|
appzoo/apps_gradio/demo.py
|
SunYanCN/AppZoo
|
91b04cc75fcc5f70ae5819e98233ea9146c1f001
|
[
"MIT"
] | null | null | null |
appzoo/apps_gradio/demo.py
|
SunYanCN/AppZoo
|
91b04cc75fcc5f70ae5819e98233ea9146c1f001
|
[
"MIT"
] | 3
|
2020-11-23T23:06:34.000Z
|
2021-04-18T02:12:40.000Z
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Project : AppZoo.
# @File : demo
# @Time : 2021/9/6 上午9:51
# @Author : yuanjie
# @WeChat : 313303303
# @Software : PyCharm
# @Description :
# /Users/yuanjie/Library/Python/3.7/lib/python/site-packages/pip
# <module 'gradio' from '/Users/yuanjie/Library/Python/3.7/lib/python/site-packages/gradio/__init__.py'>
import gradio
print(gradio)
| 22.631579
| 104
| 0.625581
| 55
| 430
| 4.818182
| 0.709091
| 0.090566
| 0.143396
| 0.188679
| 0.362264
| 0.362264
| 0.362264
| 0.362264
| 0.362264
| 0.362264
| 0
| 0.067251
| 0.204651
| 430
| 18
| 105
| 23.888889
| 0.707602
| 0.872093
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0.5
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
|
0
| 5
|
713bcf21ccd1d1ee1505411baeaebb4c2b72bc85
| 524
|
py
|
Python
|
executor/meta/env_var.py
|
asyre/bachelor_degree
|
274415a32dc642ecde53935d6b9c8bb23d21cf29
|
[
"MIT"
] | null | null | null |
executor/meta/env_var.py
|
asyre/bachelor_degree
|
274415a32dc642ecde53935d6b9c8bb23d21cf29
|
[
"MIT"
] | null | null | null |
executor/meta/env_var.py
|
asyre/bachelor_degree
|
274415a32dc642ecde53935d6b9c8bb23d21cf29
|
[
"MIT"
] | null | null | null |
import os
from typing import Optional
def is_env_var(value: str) -> bool:
return value.startswith("$")
def extract_env_var(value: str) -> Optional[str]:
return os.environ[value[1:]]
def must_extract_env_var(value: str) -> str:
env = extract_env_var(value)
if env is None:
raise MissingEnvVar
return env
def must_extract_env_var_if_present(value: str) -> str:
if is_env_var(value):
return must_extract_env_var(value)
return value
class MissingEnvVar(Exception):
pass
| 18.714286
| 55
| 0.698473
| 77
| 524
| 4.506494
| 0.337662
| 0.121037
| 0.190202
| 0.207493
| 0.262248
| 0
| 0
| 0
| 0
| 0
| 0
| 0.002404
| 0.206107
| 524
| 27
| 56
| 19.407407
| 0.831731
| 0
| 0
| 0
| 0
| 0
| 0.001908
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.235294
| false
| 0.058824
| 0.117647
| 0.117647
| 0.705882
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
|
0
| 5
|
854b531dfce789f0f2976e41da22404bfae0895e
| 85
|
py
|
Python
|
moderngl_window/capture/__init__.py
|
sheepman4267/moderngl-window
|
94df150b1915a2de48d8432248fc13e80673742b
|
[
"MIT"
] | 12
|
2019-02-25T13:38:42.000Z
|
2019-09-03T06:19:28.000Z
|
moderngl_window/capture/__init__.py
|
sheepman4267/moderngl-window
|
94df150b1915a2de48d8432248fc13e80673742b
|
[
"MIT"
] | 45
|
2019-02-26T14:03:53.000Z
|
2019-10-29T00:32:46.000Z
|
moderngl_window/capture/__init__.py
|
sheepman4267/moderngl-window
|
94df150b1915a2de48d8432248fc13e80673742b
|
[
"MIT"
] | 5
|
2019-04-17T22:36:24.000Z
|
2019-10-08T12:42:16.000Z
|
from .base import BaseVideoCapture # noqa
from .ffmpeg import FFmpegCapture # noqa
| 28.333333
| 42
| 0.788235
| 10
| 85
| 6.7
| 0.7
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.164706
| 85
| 2
| 43
| 42.5
| 0.943662
| 0.105882
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
854eb28b4e125bd8057607aaabe4468868754548
| 92
|
py
|
Python
|
app/tasksmodule/__init__.py
|
sanketsaurav/personfinder
|
aace412bd26aab6f6561834c95beed0a4531c6e3
|
[
"Apache-2.0"
] | null | null | null |
app/tasksmodule/__init__.py
|
sanketsaurav/personfinder
|
aace412bd26aab6f6561834c95beed0a4531c6e3
|
[
"Apache-2.0"
] | null | null | null |
app/tasksmodule/__init__.py
|
sanketsaurav/personfinder
|
aace412bd26aab6f6561834c95beed0a4531c6e3
|
[
"Apache-2.0"
] | null | null | null |
# TODO(nworden): rename this module to just "tasks" once tasks.py is emptied and
# deleted.
| 30.666667
| 80
| 0.73913
| 15
| 92
| 4.533333
| 0.933333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.163043
| 92
| 2
| 81
| 46
| 0.883117
| 0.945652
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0.5
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
856b4f1ad372b048dd332a6db8e6e5d65744d265
| 47
|
py
|
Python
|
test4.py
|
Ticlext-Altihaf/Absen-Kamera
|
acf88198fb1460aad1aaa126df68b22b364a8558
|
[
"MIT"
] | null | null | null |
test4.py
|
Ticlext-Altihaf/Absen-Kamera
|
acf88198fb1460aad1aaa126df68b22b364a8558
|
[
"MIT"
] | null | null | null |
test4.py
|
Ticlext-Altihaf/Absen-Kamera
|
acf88198fb1460aad1aaa126df68b22b364a8558
|
[
"MIT"
] | null | null | null |
from deepface import DeepFace
DeepFace.stream()
| 23.5
| 29
| 0.851064
| 6
| 47
| 6.666667
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.085106
| 47
| 2
| 30
| 23.5
| 0.930233
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
8576e7235279d8e22e96e9ed2173eb4d5833ae88
| 149
|
py
|
Python
|
tests/snippets/type_hints.py
|
janczer/RustPython
|
406ec46ce896e727214e2b8aef097779724acf45
|
[
"MIT"
] | null | null | null |
tests/snippets/type_hints.py
|
janczer/RustPython
|
406ec46ce896e727214e2b8aef097779724acf45
|
[
"MIT"
] | null | null | null |
tests/snippets/type_hints.py
|
janczer/RustPython
|
406ec46ce896e727214e2b8aef097779724acf45
|
[
"MIT"
] | null | null | null |
# See also: https://github.com/RustPython/RustPython/issues/587
def curry(foo: int) -> float:
return foo * 3.1415926 * 2
assert curry(2) > 10
| 18.625
| 63
| 0.677852
| 23
| 149
| 4.391304
| 0.826087
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.121951
| 0.174497
| 149
| 7
| 64
| 21.285714
| 0.699187
| 0.409396
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.333333
| 1
| 0.333333
| false
| 0
| 0
| 0.333333
| 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
| 1
| 1
| 0
|
0
| 5
|
85827fe7f034233d2452085280d880cdf00ba776
| 44
|
py
|
Python
|
__init__.py
|
daqbroker/daqbrokerServer
|
e8d2b72b4e3ab12c26dfa7b52e9d77097ede3f33
|
[
"MIT"
] | null | null | null |
__init__.py
|
daqbroker/daqbrokerServer
|
e8d2b72b4e3ab12c26dfa7b52e9d77097ede3f33
|
[
"MIT"
] | null | null | null |
__init__.py
|
daqbroker/daqbrokerServer
|
e8d2b72b4e3ab12c26dfa7b52e9d77097ede3f33
|
[
"MIT"
] | null | null | null |
from daqbrokerServer.daqbroker import Server
| 44
| 44
| 0.909091
| 5
| 44
| 8
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.068182
| 44
| 1
| 44
| 44
| 0.97561
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
85869db3061b9847ef4412f0276095c17cfee69d
| 120
|
py
|
Python
|
blog/admin.py
|
abhishekBhartiProjects/learnLanguageDjango
|
2313a602463b23dbd766e7215c787c5456374823
|
[
"MIT"
] | null | null | null |
blog/admin.py
|
abhishekBhartiProjects/learnLanguageDjango
|
2313a602463b23dbd766e7215c787c5456374823
|
[
"MIT"
] | null | null | null |
blog/admin.py
|
abhishekBhartiProjects/learnLanguageDjango
|
2313a602463b23dbd766e7215c787c5456374823
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
# Register your models here.
from blog.models import Post
admin.site.register(Post)
| 15
| 32
| 0.791667
| 18
| 120
| 5.277778
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.141667
| 120
| 7
| 33
| 17.142857
| 0.92233
| 0.216667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
a40fb76f87c6e3f338b859d175f861e22e2e72e1
| 328
|
py
|
Python
|
cli/decorators/count_calls.py
|
oleoneto/django-clite
|
6df3051fe42af6e9385a11df1b20ebd46be69dd9
|
[
"BSD-3-Clause"
] | 22
|
2019-08-18T21:22:41.000Z
|
2022-01-18T03:51:34.000Z
|
cli/decorators/count_calls.py
|
oleoneto/django-clite
|
6df3051fe42af6e9385a11df1b20ebd46be69dd9
|
[
"BSD-3-Clause"
] | 30
|
2019-11-11T12:54:35.000Z
|
2022-01-18T01:07:21.000Z
|
cli/decorators/count_calls.py
|
oleoneto/django-clite
|
6df3051fe42af6e9385a11df1b20ebd46be69dd9
|
[
"BSD-3-Clause"
] | null | null | null |
import functools
def count_calls(f):
@functools.wraps(f)
def wrapper_count_calls(*args, **kwargs):
wrapper_count_calls.num_calls += 1
print(f"Call {wrapper_count_calls.num_calls} of {f.__name__!r}")
return f(*args, **kwargs)
wrapper_count_calls.num_calls = 0
return wrapper_count_calls
| 27.333333
| 72
| 0.692073
| 47
| 328
| 4.446809
| 0.404255
| 0.287081
| 0.406699
| 0.287081
| 0.454545
| 0.334928
| 0.334928
| 0
| 0
| 0
| 0
| 0.007605
| 0.198171
| 328
| 11
| 73
| 29.818182
| 0.787072
| 0
| 0
| 0
| 0
| 0
| 0.164634
| 0.094512
| 0
| 0
| 0
| 0
| 0
| 1
| 0.222222
| false
| 0
| 0.111111
| 0
| 0.555556
| 0.111111
| 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
| 1
| 0
|
0
| 5
|
a41bab924a43c9a9a94378eba50ba3ac86bb073a
| 39
|
py
|
Python
|
airflow_run/__init__.py
|
TheWeatherCompany/airflow-run
|
42f8f6cba350365dba8922c58e541adc65875f02
|
[
"MIT"
] | 3
|
2020-06-20T03:57:17.000Z
|
2022-03-25T21:46:21.000Z
|
airflow_run/__init__.py
|
TheWeatherCompany/airflow-run
|
42f8f6cba350365dba8922c58e541adc65875f02
|
[
"MIT"
] | null | null | null |
airflow_run/__init__.py
|
TheWeatherCompany/airflow-run
|
42f8f6cba350365dba8922c58e541adc65875f02
|
[
"MIT"
] | 3
|
2020-06-18T13:57:21.000Z
|
2021-02-03T00:57:33.000Z
|
from airflow_run.run import AirflowRun
| 19.5
| 38
| 0.871795
| 6
| 39
| 5.5
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.102564
| 39
| 1
| 39
| 39
| 0.942857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
a4453acc5543fef22d22c0ef3a962b6edb2d4260
| 173
|
py
|
Python
|
ozet/settings/dev.py
|
ozet-team/ozet-server
|
4772d37339634adee6ace65a5e2380df4bd22bbb
|
[
"MIT"
] | null | null | null |
ozet/settings/dev.py
|
ozet-team/ozet-server
|
4772d37339634adee6ace65a5e2380df4bd22bbb
|
[
"MIT"
] | 4
|
2021-11-27T14:15:55.000Z
|
2021-12-10T12:59:44.000Z
|
ozet/settings/dev.py
|
ozet-team/ozet-server
|
4772d37339634adee6ace65a5e2380df4bd22bbb
|
[
"MIT"
] | null | null | null |
# fmt: off
# flake8: noqa
from .base import *
INSTAGRAM_OAUTH_REDIRECT_URL = "https://staging-api.ozet.app/api/v1/member/user/me/instagram/oauth/authorize/"
CRONJOBS = []
| 21.625
| 110
| 0.739884
| 25
| 173
| 5
| 0.88
| 0.224
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.012903
| 0.104046
| 173
| 7
| 111
| 24.714286
| 0.793548
| 0.121387
| 0
| 0
| 0
| 0.333333
| 0.516779
| 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
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
a459a15f5fc732d0133a52c8e5b9b4b9e69ea193
| 61
|
py
|
Python
|
plugins/niux2_hermit_player/__init__.py
|
sdphome/blog-content
|
927569d0d082bbcadb0e1d510f9e2b95af635ae1
|
[
"Apache-2.0"
] | null | null | null |
plugins/niux2_hermit_player/__init__.py
|
sdphome/blog-content
|
927569d0d082bbcadb0e1d510f9e2b95af635ae1
|
[
"Apache-2.0"
] | null | null | null |
plugins/niux2_hermit_player/__init__.py
|
sdphome/blog-content
|
927569d0d082bbcadb0e1d510f9e2b95af635ae1
|
[
"Apache-2.0"
] | null | null | null |
# -*- coding: UTF-8 -*-
from .niux2_hermit_player import *
| 12.2
| 34
| 0.639344
| 8
| 61
| 4.625
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.04
| 0.180328
| 61
| 4
| 35
| 15.25
| 0.7
| 0.344262
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
a47141b726145bd065c1262a312312bbafb12dc2
| 78
|
py
|
Python
|
stagecraft/apps/dashboards/models/__init__.py
|
alphagov-mirror/stagecraft
|
16afba8c0cf942279426c28c416d5dd430ae2d68
|
[
"MIT"
] | 3
|
2016-03-07T11:12:07.000Z
|
2018-04-07T21:56:27.000Z
|
stagecraft/apps/dashboards/models/__init__.py
|
alphagov-mirror/stagecraft
|
16afba8c0cf942279426c28c416d5dd430ae2d68
|
[
"MIT"
] | 81
|
2015-01-05T15:27:56.000Z
|
2021-03-24T10:51:43.000Z
|
stagecraft/apps/dashboards/models/__init__.py
|
alphagov-mirror/stagecraft
|
16afba8c0cf942279426c28c416d5dd430ae2d68
|
[
"MIT"
] | 6
|
2015-01-25T09:05:52.000Z
|
2021-04-10T20:14:58.000Z
|
from .dashboard import Dashboard, Link
from .module import Module, ModuleType
| 26
| 38
| 0.820513
| 10
| 78
| 6.4
| 0.6
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.128205
| 78
| 2
| 39
| 39
| 0.941176
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
a473e7f65d5ec60873fadc3674a2c8a8cea50dfd
| 274
|
py
|
Python
|
_doc/examples/gallery1/plot_project_name.py
|
sdpython/python_project_template
|
e365b29ba9a7dfd2688f68eb7ff2b84a6a82cb57
|
[
"MIT"
] | null | null | null |
_doc/examples/gallery1/plot_project_name.py
|
sdpython/python_project_template
|
e365b29ba9a7dfd2688f68eb7ff2b84a6a82cb57
|
[
"MIT"
] | null | null | null |
_doc/examples/gallery1/plot_project_name.py
|
sdpython/python_project_template
|
e365b29ba9a7dfd2688f68eb7ff2b84a6a82cb57
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
"""
===============================
Example with the project itself
===============================
Example with a simple import.
"""
##############################
# import
import python3_module_template
print(python3_module_template.__version__)
| 19.571429
| 42
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a479a523b52deb6c77a24eb04d848a0983c336a0
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py
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Python
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mysite/slhpa/admin.py
|
jeffb4real/SLHPA-Web-App
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cdb837ee24d790d48e8280b3d085be12cfdc52bb
|
[
"MIT"
] | 1
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2019-02-28T09:16:43.000Z
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2019-02-28T09:16:43.000Z
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mysite/slhpa/admin.py
|
jeffb4real/SLHPA-Web-App
|
cdb837ee24d790d48e8280b3d085be12cfdc52bb
|
[
"MIT"
] | 9
|
2019-02-08T05:01:53.000Z
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2021-04-08T19:12:44.000Z
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mysite/slhpa/admin.py
|
jeffb4real/SLHPA-Web-App
|
cdb837ee24d790d48e8280b3d085be12cfdc52bb
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from .models import PhotoRecord, KeyValueRecord
admin.site.register(PhotoRecord)
admin.site.register(KeyValueRecord)
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f11af53535d1ba5fcbb9d035aceaeadf138c8b67
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py
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Python
|
POC_Tasks/WebView/Leaflet/python/useJsonToAddDataOnPriorityDistrict.py
|
jnguyen1192/HackAndHopeDefi3
|
a9c92a0d45798af1c70dec6f66b668dff01e2b10
|
[
"MIT"
] | 2
|
2020-11-11T06:45:22.000Z
|
2021-03-08T19:54:43.000Z
|
POC_Tasks/WebView/Leaflet/python/useJsonToAddDataOnPriorityDistrict.py
|
jnguyen1192/HackAndHopeDefi3
|
a9c92a0d45798af1c70dec6f66b668dff01e2b10
|
[
"MIT"
] | 7
|
2020-11-05T06:41:53.000Z
|
2020-11-17T21:03:43.000Z
|
POC_Tasks/WebView/Leaflet/python/useJsonToAddDataOnPriorityDistrict.py
|
jnguyen1192/HackAndHopeDefi3
|
a9c92a0d45798af1c70dec6f66b668dff01e2b10
|
[
"MIT"
] | 1
|
2021-10-16T09:15:59.000Z
|
2021-10-16T09:15:59.000Z
|
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MATERNELLE PUBLIQUE","CRITERE2":"13014","CRITERE3":"2","CRITERE4":"FAVORABLE","CRITERE5":"100-200"},{"ecole_RNE":"0130877H","ecole_lat":"43.2849698956","ecole_long":"5.38808029905","ecole_appellation":"Ecole maternelle Delphes","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13006","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"100-200"},{"ecole_RNE":"0130881M","ecole_lat":"43.3080132224","ecole_long":"5.37491049396","ecole_appellation":"Ecole maternelle Kleber","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13003","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"100-200"},{"ecole_RNE":"0130887U","ecole_lat":"43.2329551825","ecole_long":"5.36171012713","ecole_appellation":"Ecole maternelle Madrague Montredon","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13008","CRITERE3":null,"CRITERE4":null,"CRITERE5":"<100"},{"ecole_RNE":"0130890X","ecole_lat":"43.3000937325","ecole_long":"5.37952053721","ecole_appellation":"Ecole maternelle Parmentier","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13001","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"200-300"},{"ecole_RNE":"0130901J","ecole_lat":"43.3293599393","ecole_long":"5.36027989975","ecole_appellation":"Ecole maternelle Oddo","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13015","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"200-300"},{"ecole_RNE":"0130902K","ecole_lat":"43.3256493418","ecole_long":"5.45485954226","ecole_appellation":"Ecole maternelle Les Olives","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13013","CRITERE3":null,"CRITERE4":null,"CRITERE5":"<100"},{"ecole_RNE":"0130914Y","ecole_lat":"43.3091759272","ecole_long":"5.38105020829","ecole_appellation":"Ecole maternelle Pommier","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13003","CRITERE3":"4","CRITERE4":"DEFAVORABLE","CRITERE5":"300-400"},{"ecole_RNE":"0130924J","ecole_lat":"43.3559058498","ecole_long":"5.34399029214","ecole_appellation":"Ecole maternelle Saint-Andr\u00e9 Boisseau","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13016","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"100-200"},{"ecole_RNE":"0130926L","ecole_lat":"43.3737528325","ecole_long":"5.36447579455","ecole_appellation":"Ecole maternelle Saint-Antoine Palanque","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13015","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"100-200"},{"ecole_RNE":"0130927M","ecole_lat":"43.3049512388","ecole_long":"5.41468965342","ecole_appellation":"Ecole maternelle Saint-Barnab\u00e9","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13012","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"<100"},{"ecole_RNE":"0130944F","ecole_lat":"43.3002387334","ecole_long":"5.39166639888","ecole_appellation":"Ecole maternelle Saint-Vincent-de-Paul","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13004","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"100-200"},{"ecole_RNE":"0130945G","ecole_lat":"43.2555836271","ecole_long":"5.39397338158","ecole_appellation":"Ecole maternelle Sainte-Anne","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13008","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"100-200"},{"ecole_RNE":"0130947J","ecole_lat":"43.3063766783","ecole_long":"5.40257973929","ecole_appellation":"Ecole maternelle Sainte-Sophie","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13004","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"100-200"},{"ecole_RNE":"0130955T","ecole_lat":"43.2821363115","ecole_long":"5.3734396223","ecole_appellation":"Ecole maternelle Vauban","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13006","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"100-200"},{"ecole_RNE":"0131248L","ecole_lat":"43.3252453025","ecole_long":"5.42851248915","ecole_appellation":"Ecole maternelle Rose Frais Vallon Sud","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13013","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"<100"},{"ecole_RNE":"0131249M","ecole_lat":"43.2832053529","ecole_long":"5.3525397016","ecole_appellation":"Ecole maternelle La Roseraie","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13007","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"100-200"},{"ecole_RNE":"0131250N","ecole_lat":"43.3300360875","ecole_long":"5.41653970709","ecole_appellation":"Ecole maternelle Saint-J\u00e9r\u00f4me Village","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13013","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"<100"},{"ecole_RNE":"0131268H","ecole_lat":"43.3533043262","ecole_long":"5.36942085923","ecole_appellation":"Ecole maternelle Aygalades Oasis","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13015","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"100-200"},{"ecole_RNE":"0131279V","ecole_lat":"43.2832503813","ecole_long":"5.41189009924","ecole_appellation":"Ecole maternelle Capelette Mireille Lauze","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13010","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"200-300"},{"ecole_RNE":"0131644S","ecole_lat":"43.3262967791","ecole_long":"5.41262041585","ecole_appellation":"Ecole maternelle Bouge","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13013","CRITERE3":"3","CRITERE4":"FAVORABLE","CRITERE5":"100-200"},{"ecole_RNE":"0131654C","ecole_lat":"43.301368906","ecole_long":"5.4483900875","ecole_appellation":"Ecole maternelle Les Caillols","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13012","CRITERE3":null,"CRITERE4":null,"CRITERE5":"100-200"},{"ecole_RNE":"0131857Y","ecole_lat":"43.272820215","ecole_long":"5.43613391025","ecole_appellation":"Ecole maternelle Les Trois Ponts","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13010","CRITERE3":null,"CRITERE4":null,"CRITERE5":"<100"},{"ecole_RNE":"0132177W","ecole_lat":"43.3690524578","ecole_long":"5.35484018625","ecole_appellation":"Ecole maternelle Plan d'Aou","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13015","CRITERE3":null,"CRITERE4":null,"CRITERE5":"100-200"},{"ecole_RNE":"0132270X","ecole_lat":"43.2763987495","ecole_long":"5.43124971465","ecole_appellation":"Ecole maternelle Saint-Loup Chanteperdrix","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13010","CRITERE3":null,"CRITERE4":null,"CRITERE5":"<100"},{"ecole_RNE":"0132344C","ecole_lat":"43.3478697918","ecole_long":"5.35467973247","ecole_appellation":"Ecole maternelle Saint-Louis Consolat","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13015","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"100-200"},{"ecole_RNE":"0132375L","ecole_lat":"43.3629014886","ecole_long":"5.36689709007","ecole_appellation":"Ecole maternelle Les Borels","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13015","CRITERE3":"4","CRITERE4":"DEFAVORABLE","CRITERE5":"<100"},{"ecole_RNE":"0132389B","ecole_lat":"43.2955841913","ecole_long":"5.44828983846","ecole_appellation":"Ecole maternelle Pomme Sainte-Madeleine","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13011","CRITERE3":"3","CRITERE4":"FAVORABLE","CRITERE5":"200-300"},{"ecole_RNE":"0132606M","ecole_lat":"43.2856333138","ecole_long":"5.46115020754","ecole_appellation":"Ecole maternelle Les N\u00e9r\u00e9ides","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13011","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"<100"},{"ecole_RNE":"0132627K","ecole_lat":"43.3352882666","ecole_long":"5.39706059304","ecole_appellation":"Ecole maternelle Emile Vayssi\u00e8re 3","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13014","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"100-200"},{"ecole_RNE":"0132755Z","ecole_lat":"43.2462085558","ecole_long":"5.39143006819","ecole_appellation":"Ecole maternelle Zac de Bonneveine","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13008","CRITERE3":"3","CRITERE4":"DEFAVORABLE","CRITERE5":"100-200"},{"ecole_RNE":"0132756A","ecole_lat":"43.2818430562","ecole_long":"5.44029685506","ecole_appellation":"Ecole maternelle Ch\u00e2teau Saint-Cyr","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13010","CRITERE3":"3","CRITERE4":"FAVORABLE","CRITERE5":"<100"},{"ecole_RNE":"0132757B","ecole_lat":"43.327147079","ecole_long":"5.4127102578","ecole_appellation":"Ecole maternelle Malpass\u00e9 Les Lauriers","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13013","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"100-200"},{"ecole_RNE":"0132801Z","ecole_lat":"43.2380951339","ecole_long":"5.37362991562","ecole_appellation":"Ecole maternelle Sainte-Catherine","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13008","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"<100"},{"ecole_RNE":"0133049U","ecole_lat":"43.2456400261","ecole_long":"5.38580518187","ecole_appellation":"Ecole maternelle Lapin Blanc","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13008","CRITERE3":"4","CRITERE4":"DEFAVORABLE","CRITERE5":"<100"},{"ecole_RNE":"0133355B","ecole_lat":"43.3032962535","ecole_long":"5.37287021967","ecole_appellation":"Ecole maternelle Montolieu","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13002","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"100-200"},{"ecole_RNE":"0133898S","ecole_lat":"43.3014400458","ecole_long":"5.36924003238","ecole_appellation":"ECOLE MATERNELLE REPUBLIQUE-MOISSON","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13002","CRITERE3":null,"CRITERE4":null,"CRITERE5":"<100"},{"ecole_RNE":"0134326G","ecole_lat":"43.3154711834","ecole_long":"5.36847823387","ecole_appellation":"\u00e9cole maternelle publique Antoine de Ruffi","CRITERE1":"ECOLE MATERNELLE PUBLIQUE","CRITERE2":"13002","CRITERE3":null,"CRITERE4":null,"CRITERE5":">500"},{"ecole_RNE":"0133778L","ecole_lat":"43.3138612006","ecole_long":"5.37048639109","ecole_appellation":"\u00e9cole primaire ruffi","CRITERE1":"ECOLE PRIMAIRE PUBLIQUE","CRITERE2":"13003","CRITERE3":"3","CRITERE4":"FAVORABLE","CRITERE5":"300-400"},{"ecole_RNE":"0133896P","ecole_lat":"43.2815633735","ecole_long":"5.39788010342","ecole_appellation":"\u00e9cole primaire cap est","CRITERE1":"ECOLE PRIMAIRE PUBLIQUE","CRITERE2":"13010","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"200-300"},{"ecole_RNE":"0130832J","ecole_lat":"43.2441772372","ecole_long":"5.42681212528","ecole_appellation":"Ecole primaire Valmont Redon","CRITERE1":"ECOLE PRIMAIRE PUBLIQUE","CRITERE2":"13009","CRITERE3":null,"CRITERE4":null,"CRITERE5":"100-200"},{"ecole_RNE":"0130599F","ecole_lat":"43.2910583218","ecole_long":"5.37324505563","ecole_appellation":"Ecole primaire Paix","CRITERE1":"ECOLE PRIMAIRE PUBLIQUE","CRITERE2":"13006","CRITERE3":"3","CRITERE4":"FAVORABLE","CRITERE5":"200-300"},{"ecole_RNE":"0130743M","ecole_lat":"43.284665818","ecole_long":"5.36187039825","ecole_appellation":"Ecole primaire Marius Thomas","CRITERE1":"ECOLE PRIMAIRE PUBLIQUE","CRITERE2":"13007","CRITERE3":"5","CRITERE4":"FAVORABLE","CRITERE5":"200-300"},{"ecole_RNE":"0134095F","ecole_lat":"43.3072024555","ecole_long":"5.38443043001","ecole_appellation":"Ecole primaire Bugeaud","CRITERE1":"ECOLE PRIMAIRE PUBLIQUE","CRITERE2":"13003","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"400-500"},{"ecole_RNE":"0130560N","ecole_lat":"43.3009166427","ecole_long":"5.51967960617","ecole_appellation":"Ecole primaire Eoures","CRITERE1":"ECOLE PRIMAIRE PUBLIQUE","CRITERE2":"13011","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"200-300"},{"ecole_RNE":"0130566V","ecole_lat":"43.3149453345","ecole_long":"5.37534032039","ecole_appellation":"Ecole primaire F\u00e9lix Pyat","CRITERE1":"ECOLE PRIMAIRE PUBLIQUE","CRITERE2":"13003","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"200-300"},{"ecole_RNE":"0130587T","ecole_lat":"43.2499301789","ecole_long":"5.40612057883","ecole_appellation":"Ecole primaire Mazargues Beauch\u00eane","CRITERE1":"ECOLE PRIMAIRE PUBLIQUE","CRITERE2":"13009","CRITERE3":"4","CRITERE4":"DEFAVORABLE","CRITERE5":"100-200"},{"ecole_RNE":"0130601H","ecole_lat":"43.2863671237","ecole_long":"5.42984054154","ecole_appellation":"Ecole primaire Parette Mazenode","CRITERE1":"ECOLE PRIMAIRE PUBLIQUE","CRITERE2":"13011","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"200-300"},{"ecole_RNE":"0130655S","ecole_lat":"43.2737299289","ecole_long":"5.41397011884","ecole_appellation":"Ecole primaire La Sauvag\u00e8re","CRITERE1":"ECOLE PRIMAIRE PUBLIQUE","CRITERE2":"13010","CRITERE3":"4","CRITERE4":"DEFAVORABLE","CRITERE5":"200-300"},{"ecole_RNE":"0130831H","ecole_lat":"43.3123617808","ecole_long":"5.51220040861","ecole_appellation":"Ecole primaire La Treille","CRITERE1":"ECOLE PRIMAIRE PUBLIQUE","CRITERE2":"13011","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"<100"},{"ecole_RNE":"0130515P","ecole_lat":"43.2988909868","ecole_long":"5.48796653691","ecole_appellation":"Ecole primaire Accates La Valentine","CRITERE1":"ECOLE PRIMAIRE PUBLIQUE","CRITERE2":"13011","CRITERE3":null,"CRITERE4":null,"CRITERE5":"100-200"},{"ecole_RNE":"0130556J","ecole_lat":"43.3342670346","ecole_long":"5.45489994961","ecole_appellation":"Ecole primaire Croix Rouge 1","CRITERE1":"ECOLE PRIMAIRE PUBLIQUE","CRITERE2":"13013","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"100-200"},{"ecole_RNE":"0134096G","ecole_lat":"43.3011182032","ecole_long":"5.39912964167","ecole_appellation":"\u00e9cole primaire Michelet Foch","CRITERE1":"ECOLE PRIMAIRE PUBLIQUE","CRITERE2":"13004","CRITERE3":null,"CRITERE4":null,"CRITERE5":"300-400"},{"ecole_RNE":"0132352L","ecole_lat":"43.2716374282","ecole_long":"5.43218951941","ecole_appellation":"Ecole primairere Saint Tronc Castel Roc","CRITERE1":"ECOLE PRIMAIRE PUBLIQUE","CRITERE2":"13010","CRITERE3":"3","CRITERE4":"DEFAVORABLE","CRITERE5":"400-500"},{"ecole_RNE":"0130688C","ecole_lat":"43.2797436143","ecole_long":"5.36060949732","ecole_appellation":"Ecole primaire Bompard","CRITERE1":"ECOLE PRIMAIRE PUBLIQUE","CRITERE2":"13007","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"100-200"},{"ecole_RNE":"0134273Z","ecole_lat":"43.3036337328","ecole_long":"5.39002656902","ecole_appellation":"Ecole primaire Chanterelle","CRITERE1":"ECOLE PRIMAIRE PUBLIQUE","CRITERE2":"13001","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"100-200"},{"ecole_RNE":"0133970V","ecole_lat":"43.3085187414","ecole_long":"5.38403997908","ecole_appellation":"\u00e9cole primaire busserade-massena","CRITERE1":"ECOLE PRIMAIRE PUBLIQUE","CRITERE2":"13003","CRITERE3":null,"CRITERE4":null,"CRITERE5":"200-300"},{"ecole_RNE":"0134167J","ecole_lat":"43.2802120123","ecole_long":"5.39165013006","ecole_appellation":"\u00e9cole primaire rouet charles alle","CRITERE1":"ECOLE PRIMAIRE PUBLIQUE","CRITERE2":"13008","CRITERE3":"3","CRITERE4":"FAVORABLE","CRITERE5":"200-300"},{"ecole_RNE":"0134225X","ecole_lat":"43.3245757733","ecole_long":"5.36435045705","ecole_appellation":"Ecole primaire publique Andr\u00e9 Allar","CRITERE1":"ECOLE PRIMAIRE PUBLIQUE","CRITERE2":"13015","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"100-200"},{"ecole_RNE":"0130580K","ecole_lat":"43.289714616","ecole_long":"5.39121019178","ecole_appellation":"Ecole primaire Loubi\u00e8re","CRITERE1":"ECOLE PRIMAIRE PUBLIQUE","CRITERE2":"13005","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"300-400"},{"ecole_RNE":"0130616Z","ecole_lat":"43.3290624774","ecole_long":"5.42762049215","ecole_appellation":"Ecole primaire Rose","CRITERE1":"ECOLE PRIMAIRE PUBLIQUE","CRITERE2":"13013","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"200-300"},{"ecole_RNE":"0130918C","ecole_lat":"43.286670656","ecole_long":"5.36648968895","ecole_appellation":"Ecole primaire Roucas Blanc","CRITERE1":"ECOLE PRIMAIRE PUBLIQUE","CRITERE2":"13007","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"200-300"},{"ecole_RNE":"0134097H","ecole_lat":"43.2767129977","ecole_long":"5.40837972469","ecole_appellation":"\u00e9cole primaire capelette curtel","CRITERE1":"ECOLE PRIMAIRE PUBLIQUE","CRITERE2":"13361","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":">500"},{"ecole_RNE":"0134168K","ecole_lat":"43.3428646089","ecole_long":"5.39928965254","ecole_appellation":"\u00e9cole primaire sainte marthe audisio","CRITERE1":"\u00c9COLE PRIMAIRE PUBLIQUE","CRITERE2":"13014","CRITERE3":null,"CRITERE4":null,"CRITERE5":"200-300"}]}"""
import json
import csv
from shapely.geometry import Point, Polygon
json_py = json.loads(json_raw)
school_list, pd_list = [], []
for point in json_py['points']:
#print(point['ecole_RNE'], point['ecole_long'], point['ecole_lat'])
#print(point)
school_list.append([point['ecole_RNE'], Point(float(point['ecole_long']), float(point['ecole_lat']))])
with open("liste_quartiers_prioritairesville.csv", encoding="utf-8") as csvFile:
reader = csv.reader(csvFile, delimiter=";")
for row in list(reader)[1:]: # without header
pd_school_list = []
if row[11] != "":
json_coord = json.loads(row[11])
#print(json_coord)
#print(row[1], row[2])
if json_coord['type'] != 'MultiPolygon':
poly = Polygon([(p[0], p[1]) for p in json_coord['coordinates'][0]])
for school in school_list:
# is school in pd
if school[1].within(poly):
pd_school_list.append(school[0])
pd_data = [row[0], len(pd_school_list)] # ",".join(pd_school_list) TODO more information between school and priority district
# TODO add row
pd_list.append(pd_data)
#print(school_list)
print(pd_list)
with open("liste_quartiers_prioritairesville.csv", encoding="utf-8") as csvFileReader:
reader = csv.reader(csvFileReader, delimiter=";")
with open("quartiers_prioritaires_ecoles.csv", "w", newline='', encoding="utf-8") as csvFileWriter:
writer = csv.writer(csvFileWriter, delimiter=";")
pd_file_list = list(reader)
# header
writer.writerow(pd_file_list[0] + ['nombre_ecoles'])
# other
print([row for row in reader])
for i, row in enumerate(pd_file_list[1:]): # without header
print(row)
writer.writerow(row + [pd_list[i][1]])
| 2,222.566038
| 115,919
| 0.745985
| 14,038
| 117,796
| 6.129149
| 0.125232
| 0.041748
| 0.051952
| 0.04814
| 0.711207
| 0.644623
| 0.587115
| 0.552492
| 0.532746
| 0.496868
| 0
| 0.197396
| 0.025052
| 117,796
| 52
| 115,920
| 2,265.307692
| 0.551796
| 0.002462
| 0
| 0
| 0
| 0.03125
| 0.988178
| 0.876586
| 0
| 0
| 0
| 0.019231
| 0
| 1
| 0
| false
| 0.03125
| 0.09375
| 0
| 0.09375
| 0.09375
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
f1263952c766bff98434a515311a9bd5dd742621
| 78
|
py
|
Python
|
tests/test_basic.py
|
aigarius/photoriver2
|
23d61bfc2e33771a8ec23c66009c957ed0038863
|
[
"MIT"
] | null | null | null |
tests/test_basic.py
|
aigarius/photoriver2
|
23d61bfc2e33771a8ec23c66009c957ed0038863
|
[
"MIT"
] | null | null | null |
tests/test_basic.py
|
aigarius/photoriver2
|
23d61bfc2e33771a8ec23c66009c957ed0038863
|
[
"MIT"
] | null | null | null |
"""Basic test environment tests"""
def test_math():
assert 40 + 2 == 42
| 13
| 34
| 0.615385
| 11
| 78
| 4.272727
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.083333
| 0.230769
| 78
| 5
| 35
| 15.6
| 0.7
| 0.358974
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.5
| 1
| 0.5
| true
| 0
| 0
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
f12d63ea5ca762d7a785b0b752f5b05a53eed838
| 174
|
py
|
Python
|
server/orchestrator/models/__init__.py
|
bsantaus/qiskit-dell-runtime
|
aec129a83e0a5d6ee34de01be14c91469ce74407
|
[
"Apache-2.0"
] | 17
|
2021-09-27T14:46:06.000Z
|
2022-02-15T12:08:48.000Z
|
server/orchestrator/models/__init__.py
|
manannarang/qiskit-dell-runtime
|
ef8da4fc27ccca60ef81e7391d0c2a60593170b3
|
[
"Apache-2.0"
] | 4
|
2021-09-27T14:21:53.000Z
|
2022-01-20T16:43:46.000Z
|
server/orchestrator/models/__init__.py
|
manannarang/qiskit-dell-runtime
|
ef8da4fc27ccca60ef81e7391d0c2a60593170b3
|
[
"Apache-2.0"
] | 2
|
2021-10-13T03:42:31.000Z
|
2022-01-16T10:12:54.000Z
|
from .db_service import DBService
from .runtime_program_model import RuntimeProgram
from .message_model import Message
from .job_model import Job
from .user_model import User
| 34.8
| 49
| 0.862069
| 26
| 174
| 5.538462
| 0.461538
| 0.305556
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.109195
| 174
| 5
| 50
| 34.8
| 0.929032
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
f137f141651e560cfa387ec3bbebc49e5867d741
| 113
|
py
|
Python
|
server/services/slack_service.py
|
nithinkashyapn/ooo-slack-bot
|
42fe9c622b1f9ee429301ca8f1ae60e3ad9fde41
|
[
"MIT"
] | null | null | null |
server/services/slack_service.py
|
nithinkashyapn/ooo-slack-bot
|
42fe9c622b1f9ee429301ca8f1ae60e3ad9fde41
|
[
"MIT"
] | 7
|
2021-03-03T01:11:31.000Z
|
2021-11-17T18:25:18.000Z
|
server/services/slack_service.py
|
nithinkashyapn/ooo-slack-bot
|
42fe9c622b1f9ee429301ca8f1ae60e3ad9fde41
|
[
"MIT"
] | 1
|
2020-12-07T07:24:13.000Z
|
2020-12-07T07:24:13.000Z
|
from slack import WebClient
import server.config as config
slack_service = WebClient(token=config.SLACK_TOKEN)
| 18.833333
| 51
| 0.831858
| 16
| 113
| 5.75
| 0.5625
| 0.23913
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.115044
| 113
| 5
| 52
| 22.6
| 0.92
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
f13d35d14451bf252485023e3d12ff3efdb03477
| 92
|
py
|
Python
|
src/jobs/admin.py
|
HitLuca/predict-python
|
14f2f55cb29f817a5871d4c0b11a3758285301ca
|
[
"MIT"
] | 12
|
2018-06-27T08:09:18.000Z
|
2021-10-10T22:19:04.000Z
|
src/jobs/admin.py
|
HitLuca/predict-python
|
14f2f55cb29f817a5871d4c0b11a3758285301ca
|
[
"MIT"
] | 17
|
2018-06-12T17:36:11.000Z
|
2020-11-16T21:23:22.000Z
|
src/jobs/admin.py
|
HitLuca/predict-python
|
14f2f55cb29f817a5871d4c0b11a3758285301ca
|
[
"MIT"
] | 16
|
2018-08-02T14:40:17.000Z
|
2021-11-12T12:28:46.000Z
|
from django.contrib import admin
from src.jobs.models import Job
admin.site.register(Job)
| 15.333333
| 32
| 0.804348
| 15
| 92
| 4.933333
| 0.733333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.119565
| 92
| 5
| 33
| 18.4
| 0.91358
| 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
| 1
| 0
|
0
| 5
|
f175d58f2b2d4d3f0d53801ae5480f6f7f771bec
| 1,417
|
py
|
Python
|
autofit/plot/__init__.py
|
vishalbelsare/PyAutoFit
|
04b927419fa95c302e0eebab632fc7ebcdc3f06b
|
[
"MIT"
] | null | null | null |
autofit/plot/__init__.py
|
vishalbelsare/PyAutoFit
|
04b927419fa95c302e0eebab632fc7ebcdc3f06b
|
[
"MIT"
] | null | null | null |
autofit/plot/__init__.py
|
vishalbelsare/PyAutoFit
|
04b927419fa95c302e0eebab632fc7ebcdc3f06b
|
[
"MIT"
] | null | null | null |
from autofit.plot.mat_wrap.wrap.wrap_base import Units
from autofit.plot.mat_wrap.wrap.wrap_base import Figure
from autofit.plot.mat_wrap.wrap.wrap_base import Axis
from autofit.plot.mat_wrap.wrap.wrap_base import Cmap
from autofit.plot.mat_wrap.wrap.wrap_base import Colorbar
from autofit.plot.mat_wrap.wrap.wrap_base import ColorbarTickParams
from autofit.plot.mat_wrap.wrap.wrap_base import TickParams
from autofit.plot.mat_wrap.wrap.wrap_base import YTicks
from autofit.plot.mat_wrap.wrap.wrap_base import XTicks
from autofit.plot.mat_wrap.wrap.wrap_base import Title
from autofit.plot.mat_wrap.wrap.wrap_base import YLabel
from autofit.plot.mat_wrap.wrap.wrap_base import XLabel
from autofit.plot.mat_wrap.wrap.wrap_base import Legend
from autofit.plot.mat_wrap.wrap.wrap_base import Output
from autofit.plot.mat_wrap.mat_plot import MatPlot1D
from autofit.plot.mat_wrap.include import Include1D
from autofit.plot.mat_wrap.visuals import Visuals1D
from autofit.plot.mat_wrap.include import Include2D
from autofit.plot.mat_wrap.visuals import Visuals2D
from autofit.plot.samples_plotters import SamplesPlotter
from autofit.plot.dynesty_plotter import DynestyPlotter
from autofit.plot.ultranest_plotter import UltraNestPlotter
from autofit.plot.emcee_plotter import EmceePlotter
from autofit.plot.zeus_plotter import ZeusPlotter
from autofit.plot.pyswarms_plotter import PySwarmsPlotter
| 52.481481
| 68
| 0.8518
| 223
| 1,417
| 5.233184
| 0.188341
| 0.191945
| 0.321337
| 0.293059
| 0.61868
| 0.599829
| 0.599829
| 0.479863
| 0.479863
| 0
| 0
| 0.003876
| 0.089626
| 1,417
| 27
| 69
| 52.481481
| 0.900775
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
f17b32a02ad426ad9db31048fb5d91f3e1db060b
| 83
|
py
|
Python
|
tests/assign.py
|
fangyuchen86/mini-pysonar
|
541e55ebadee35afb22e17b19eed5c19ad31e21e
|
[
"BSD-3-Clause"
] | 22
|
2015-04-03T12:44:24.000Z
|
2021-12-22T17:55:00.000Z
|
tests/assign.py
|
GaoGersy/mini-pysonar
|
541e55ebadee35afb22e17b19eed5c19ad31e21e
|
[
"BSD-3-Clause"
] | null | null | null |
tests/assign.py
|
GaoGersy/mini-pysonar
|
541e55ebadee35afb22e17b19eed5c19ad31e21e
|
[
"BSD-3-Clause"
] | 43
|
2015-04-03T12:46:28.000Z
|
2022-01-20T17:27:45.000Z
|
def f():
x = 0
def g(y):
global x
x = y
g(2)
print x
f()
| 8.3
| 13
| 0.349398
| 16
| 83
| 1.8125
| 0.5625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.04878
| 0.506024
| 83
| 9
| 14
| 9.222222
| 0.658537
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.125
| 1
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
f1892a023c54f99a4011eeee8b568516286ea715
| 91
|
py
|
Python
|
enthought/chaco/shell/scaly_plot.py
|
enthought/etsproxy
|
4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347
|
[
"BSD-3-Clause"
] | 3
|
2016-12-09T06:05:18.000Z
|
2018-03-01T13:00:29.000Z
|
enthought/chaco/shell/scaly_plot.py
|
enthought/etsproxy
|
4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347
|
[
"BSD-3-Clause"
] | 1
|
2020-12-02T00:51:32.000Z
|
2020-12-02T08:48:55.000Z
|
enthought/chaco/shell/scaly_plot.py
|
enthought/etsproxy
|
4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347
|
[
"BSD-3-Clause"
] | null | null | null |
# proxy module
from __future__ import absolute_import
from chaco.shell.scaly_plot import *
| 22.75
| 38
| 0.835165
| 13
| 91
| 5.384615
| 0.769231
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.120879
| 91
| 3
| 39
| 30.333333
| 0.875
| 0.131868
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
74d148ee0f56f8c12453b7ba51b10fc473120284
| 276
|
py
|
Python
|
home/admin.py
|
codejay411/Wheeling_and_dealing
|
26b8133950094e7b65463c8418edd8f5cd1c544c
|
[
"MIT"
] | 1
|
2020-12-26T05:43:49.000Z
|
2020-12-26T05:43:49.000Z
|
home/admin.py
|
codejay411/Wheeling_and_dealing
|
26b8133950094e7b65463c8418edd8f5cd1c544c
|
[
"MIT"
] | null | null | null |
home/admin.py
|
codejay411/Wheeling_and_dealing
|
26b8133950094e7b65463c8418edd8f5cd1c544c
|
[
"MIT"
] | 2
|
2020-09-11T18:04:42.000Z
|
2021-06-08T17:31:32.000Z
|
from django.contrib import admin
from .models import ngodetail, donordetail, medicine
# Register your models here.
admin.site.register(ngodetail)
admin.site.register(donordetail)
admin.site.register(medicine)
# admin.site.register(post)
# admin.site.register(postngo)
| 30.666667
| 53
| 0.789855
| 35
| 276
| 6.228571
| 0.428571
| 0.206422
| 0.389908
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.108696
| 276
| 9
| 54
| 30.666667
| 0.886179
| 0.293478
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.4
| 0
| 0.4
| 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
| 1
| 0
| 0
| 0
|
0
| 5
|
2d01a84604aa47d8f741e27a87e3545938638e3b
| 31
|
py
|
Python
|
test/data/generic_acceptance_poe.py
|
hung135/pythoscope
|
b4b89b77b5184b25992893e320d58de32ed987f1
|
[
"MIT"
] | 78
|
2015-01-03T22:35:30.000Z
|
2022-01-09T15:32:57.000Z
|
test/data/generic_acceptance_poe.py
|
hung135/pythoscope
|
b4b89b77b5184b25992893e320d58de32ed987f1
|
[
"MIT"
] | 15
|
2015-05-26T14:29:20.000Z
|
2020-12-08T11:26:44.000Z
|
test/data/generic_acceptance_poe.py
|
hung135/pythoscope
|
b4b89b77b5184b25992893e320d58de32ed987f1
|
[
"MIT"
] | 30
|
2015-06-05T13:02:11.000Z
|
2021-05-31T08:03:28.000Z
|
from module import main
main()
| 10.333333
| 23
| 0.774194
| 5
| 31
| 4.8
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.16129
| 31
| 2
| 24
| 15.5
| 0.923077
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
2d3585b75534af1271e52a3a430fc0e9da77097b
| 238
|
py
|
Python
|
prajwal/__init__.py
|
Ishita-Sharma1/Prajwal
|
7b46d02d0a1765ae4486ada996d772d19c8d10b9
|
[
"MIT"
] | 1
|
2021-07-19T07:14:27.000Z
|
2021-07-19T07:14:27.000Z
|
prajwal/__init__.py
|
Ishita-Sharma1/Prajwal
|
7b46d02d0a1765ae4486ada996d772d19c8d10b9
|
[
"MIT"
] | null | null | null |
prajwal/__init__.py
|
Ishita-Sharma1/Prajwal
|
7b46d02d0a1765ae4486ada996d772d19c8d10b9
|
[
"MIT"
] | null | null | null |
from flask import Flask
from flask import render_template
app = Flask(__name__)
# main routes
@app.route('/')
def index():
return render_template('index.html')
@app.route('/home')
def home():
return render_template('home.html')
| 18.307692
| 40
| 0.714286
| 33
| 238
| 4.939394
| 0.454545
| 0.257669
| 0.184049
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 238
| 13
| 41
| 18.307692
| 0.79902
| 0.046218
| 0
| 0
| 0
| 0
| 0.110619
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.222222
| false
| 0
| 0.222222
| 0.222222
| 0.666667
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
741054e5d20eb21a1773115e150c532168d43e9d
| 11,400
|
py
|
Python
|
home/migrations/0001_initial.py
|
MarkJaroski/aho-dev-dct
|
75ad72d408ce60ebfdf9c02fe57cdf9edba5e4d7
|
[
"MIT"
] | null | null | null |
home/migrations/0001_initial.py
|
MarkJaroski/aho-dev-dct
|
75ad72d408ce60ebfdf9c02fe57cdf9edba5e4d7
|
[
"MIT"
] | null | null | null |
home/migrations/0001_initial.py
|
MarkJaroski/aho-dev-dct
|
75ad72d408ce60ebfdf9c02fe57cdf9edba5e4d7
|
[
"MIT"
] | null | null | null |
# Generated by Django 2.1.2 on 2020-07-23 04:37
from django.db import migrations, models
import django.db.models.deletion
import parler.fields
import parler.models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='StgCategoryoption',
fields=[
('categoryoption_id', models.AutoField(primary_key=True, serialize=False)),
('date_created', models.DateTimeField(auto_now_add=True, null=True, verbose_name='Date Created')),
('date_lastupdated', models.DateTimeField(auto_now=True, null=True, verbose_name='Date Modified')),
],
options={
'verbose_name': 'Disaggregation Option',
'verbose_name_plural': 'Disaggregation Options',
'db_table': 'stg_categoryoption',
'managed': True,
},
bases=(parler.models.TranslatableModelMixin, models.Model),
),
migrations.CreateModel(
name='StgCategoryoptionTranslation',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('language_code', models.CharField(db_index=True, max_length=15, verbose_name='Language')),
('name', models.CharField(max_length=230, verbose_name='Modality Name')),
('shortname', models.CharField(blank=True, max_length=50, null=True, verbose_name='Short Name')),
('code', models.CharField(blank=True, max_length=230, unique=True)),
('description', models.TextField(blank=True, null=True)),
('master', parler.fields.TranslationsForeignKey(editable=False, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='translations', to='home.StgCategoryoption')),
],
options={
'verbose_name': 'Disaggregation Option Translation',
'db_table': 'stg_categoryoption_translation',
'db_tablespace': '',
'managed': True,
'default_permissions': (),
},
bases=(parler.models.TranslatedFieldsModelMixin, models.Model),
),
migrations.CreateModel(
name='StgCategoryParent',
fields=[
('category_id', models.AutoField(primary_key=True, serialize=False, verbose_name='Category Name')),
('date_created', models.DateTimeField(auto_now_add=True, null=True, verbose_name='Date Created')),
('date_lastupdated', models.DateTimeField(auto_now=True, null=True, verbose_name='Date Modified')),
],
options={
'verbose_name': 'Disaggregation Category',
'verbose_name_plural': 'Disaggregation Categories',
'db_table': 'stg_category_parent',
'managed': True,
},
bases=(parler.models.TranslatableModelMixin, models.Model),
),
migrations.CreateModel(
name='StgCategoryParentTranslation',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('language_code', models.CharField(db_index=True, max_length=15, verbose_name='Language')),
('name', models.CharField(max_length=230, verbose_name='Category')),
('shortname', models.CharField(blank=True, max_length=50, null=True, verbose_name='Short Name')),
('code', models.CharField(blank=True, max_length=50, null=True, unique=True)),
('description', models.TextField(blank=True, null=True)),
('master', parler.fields.TranslationsForeignKey(editable=False, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='translations', to='home.StgCategoryParent')),
],
options={
'verbose_name': 'Disaggregation Category Translation',
'db_table': 'stg_category_parent_translation',
'db_tablespace': '',
'managed': True,
'default_permissions': (),
},
bases=(parler.models.TranslatedFieldsModelMixin, models.Model),
),
migrations.CreateModel(
name='StgDatasource',
fields=[
('datasource_id', models.AutoField(primary_key=True, serialize=False)),
('date_created', models.DateTimeField(auto_now_add=True, null=True, verbose_name='Date Created')),
('date_lastupdated', models.DateTimeField(auto_now=True, null=True, verbose_name='Date Modified')),
],
options={
'verbose_name': 'Data Source',
'verbose_name_plural': 'Data Sources',
'db_table': 'stg_datasource',
'managed': True,
},
bases=(parler.models.TranslatableModelMixin, models.Model),
),
migrations.CreateModel(
name='StgDatasourceTranslation',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('language_code', models.CharField(db_index=True, max_length=15, verbose_name='Language')),
('name', models.CharField(max_length=230, verbose_name='Data Source')),
('shortname', models.CharField(blank=True, max_length=50, null=True, verbose_name='Short Name')),
('code', models.CharField(blank=True, max_length=50, null=True, unique=True)),
('description', models.TextField(default='No specific definition')),
('master', parler.fields.TranslationsForeignKey(editable=False, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='translations', to='home.StgDatasource')),
],
options={
'verbose_name': 'Data Source Translation',
'db_table': 'stg_datasource_translation',
'db_tablespace': '',
'managed': True,
'default_permissions': (),
},
bases=(parler.models.TranslatedFieldsModelMixin, models.Model),
),
migrations.CreateModel(
name='StgMeasuremethod',
fields=[
('measuremethod_id', models.AutoField(primary_key=True, serialize=False)),
('date_created', models.DateTimeField(auto_now_add=True, null=True, verbose_name='Date Created')),
('date_lastupdated', models.DateTimeField(auto_now=True, null=True, verbose_name='Date Modified')),
],
options={
'verbose_name': 'Measure Type',
'verbose_name_plural': 'Measure Types',
'db_table': 'stg_measuremethod',
'managed': True,
},
bases=(parler.models.TranslatableModelMixin, models.Model),
),
migrations.CreateModel(
name='StgMeasuremethodTranslation',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('language_code', models.CharField(db_index=True, max_length=15, verbose_name='Language')),
('name', models.CharField(max_length=230, verbose_name='Measure Name')),
('measure_value', models.DecimalField(blank=True, decimal_places=0, max_digits=50, null=True, verbose_name='Indicator Type')),
('code', models.CharField(blank=True, max_length=50, unique=True)),
('description', models.TextField(blank=True, max_length=200, null=True)),
('master', parler.fields.TranslationsForeignKey(editable=False, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='translations', to='home.StgMeasuremethod')),
],
options={
'verbose_name': 'Measure Type Translation',
'db_table': 'stg_measuremethod_translation',
'db_tablespace': '',
'managed': True,
'default_permissions': (),
},
bases=(parler.models.TranslatedFieldsModelMixin, models.Model),
),
migrations.CreateModel(
name='StgValueDatatype',
fields=[
('valuetype_id', models.AutoField(primary_key=True, serialize=False)),
('date_created', models.DateTimeField(auto_now_add=True, null=True, verbose_name='Date Created')),
('date_lastupdated', models.DateTimeField(auto_now=True, null=True, verbose_name='Date Modified')),
],
options={
'verbose_name': ' Value Type',
'verbose_name_plural': 'Value Types',
'db_table': 'stg_value_datatype',
'managed': True,
},
bases=(parler.models.TranslatableModelMixin, models.Model),
),
migrations.CreateModel(
name='StgValueDatatypeTranslation',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('language_code', models.CharField(db_index=True, max_length=15, verbose_name='Language')),
('name', models.CharField(max_length=50, verbose_name='Data Value Type')),
('code', models.CharField(max_length=50, unique=True)),
('shortname', models.CharField(blank=True, max_length=50, null=True, verbose_name='Short Name')),
('description', models.TextField(blank=True, null=True)),
('master', parler.fields.TranslationsForeignKey(editable=False, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='translations', to='home.StgValueDatatype')),
],
options={
'verbose_name': ' Value Type Translation',
'db_table': 'stg_value_datatype_translation',
'db_tablespace': '',
'managed': True,
'default_permissions': (),
},
bases=(parler.models.TranslatedFieldsModelMixin, models.Model),
),
migrations.AddField(
model_name='stgcategoryoption',
name='category',
field=models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='home.StgCategoryParent', verbose_name='Disaggregation Category'),
),
migrations.AlterUniqueTogether(
name='stgvaluedatatypetranslation',
unique_together={('language_code', 'master')},
),
migrations.AlterUniqueTogether(
name='stgmeasuremethodtranslation',
unique_together={('language_code', 'master')},
),
migrations.AlterUniqueTogether(
name='stgdatasourcetranslation',
unique_together={('language_code', 'master')},
),
migrations.AlterUniqueTogether(
name='stgcategoryparenttranslation',
unique_together={('language_code', 'master')},
),
migrations.AlterUniqueTogether(
name='stgcategoryoptiontranslation',
unique_together={('language_code', 'master')},
),
]
| 52.293578
| 195
| 0.592456
| 1,023
| 11,400
| 6.415445
| 0.121212
| 0.078775
| 0.034283
| 0.043425
| 0.78455
| 0.720098
| 0.715526
| 0.706994
| 0.654579
| 0.654579
| 0
| 0.007782
| 0.278596
| 11,400
| 217
| 196
| 52.534562
| 0.790248
| 0.003947
| 0
| 0.595238
| 1
| 0
| 0.221351
| 0.045979
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.019048
| 0
| 0.038095
| 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
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
74155d9871da344520bcc06327d02bf14f4b3ae5
| 718
|
py
|
Python
|
clipper-cli/src/test/resources/lubm-ex-20/execQuery.py
|
ghxiao/clipper
|
23153e97c09371eea99c4941a606aa56fe5d78b7
|
[
"Apache-2.0"
] | 5
|
2015-01-20T13:17:40.000Z
|
2018-12-03T14:14:32.000Z
|
clipper-cli/src/test/resources/lubm-ex-20/execQuery.py
|
wish55/clipper
|
23153e97c09371eea99c4941a606aa56fe5d78b7
|
[
"Apache-2.0"
] | 3
|
2015-08-11T13:03:37.000Z
|
2015-11-08T09:27:22.000Z
|
clipper-cli/src/test/resources/lubm-ex-20/execQuery.py
|
wish55/clipper
|
23153e97c09371eea99c4941a606aa56fe5d78b7
|
[
"Apache-2.0"
] | 5
|
2015-06-21T14:35:19.000Z
|
2021-11-09T10:39:50.000Z
|
import os
univs = 100
ndeparts = 15
q = 2
shcmd = r'''
dlv -filter=ans
'''
#shcmd += "q" + q + ".dlv "
#for univ in range(univs):
shcmd += '''
q2.dlv LUBM-ex-20.owl.dl University0_0.owl.dl University0_1.owl.dl University0_2.owl.dl \
University0_3.owl.dl University0_4.owl.dl University0_5.owl.dl University0_6.owl.dl \
University0_7.owl.dl University0_8.owl.dl University0_9.owl.dl University0_10.owl.dl \
University0_7.owl.dl University0_8.owl.dl University0_9.owl.dl University0_10.owl.dl \
University0_11.owl.dl University0_12.owl.dl University0_13.owl.dl University0_14.owl.dl \
University0_7.owl.dl University0_8.owl.dl University0_9.owl.dl University0_10.owl.dl \
'''
print shcmd
#os.system(shcmd)
| 27.615385
| 90
| 0.754875
| 127
| 718
| 4.086614
| 0.314961
| 0.231214
| 0.709056
| 0.098266
| 0.439306
| 0.439306
| 0.439306
| 0.439306
| 0.439306
| 0.439306
| 0
| 0.097331
| 0.112813
| 718
| 25
| 91
| 28.72
| 0.717425
| 0.093315
| 0
| 0.3125
| 0
| 0.375
| 0.851852
| 0.226852
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.0625
| null | null | 0.0625
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
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