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qsc_code_num_chars_quality_signal
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qsc_code_frac_chars_top_2grams_quality_signal
float64
qsc_code_frac_chars_top_3grams_quality_signal
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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
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qsc_code_frac_chars_dupe_7grams_quality_signal
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qsc_code_frac_chars_dupe_8grams_quality_signal
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qsc_code_frac_chars_dupe_9grams_quality_signal
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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
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qsc_code_frac_chars_string_length_quality_signal
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qsc_code_frac_chars_long_word_length_quality_signal
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qsc_code_frac_lines_string_concat_quality_signal
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qsc_code_cate_encoded_data_quality_signal
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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
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float64
qsc_codepython_frac_lines_print_quality_signal
float64
qsc_code_num_words
int64
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int64
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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
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int64
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int64
qsc_code_frac_chars_dupe_10grams
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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
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int64
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int64
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int64
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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
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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
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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
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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
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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
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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
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0.671292
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0.274947
5,652
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0
0
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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
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0
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0.136364
22
3
11
7.333333
0.473684
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1
0
false
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null
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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
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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
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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]))
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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
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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
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3.655172
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0
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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
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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
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0.037037
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2
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40.5
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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
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4.705882
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103
3
52
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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
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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
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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
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237
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0.358974
0.216216
0.172973
0.183784
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237
8
77
29.625
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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
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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" ]
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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
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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
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6bced17d8d34d40c6e36bbbfbcf9f9f00fa12417
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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)
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5
6bfd4fa6fac36bb502e751462754bbaace7de341
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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
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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, ), ]
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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)
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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
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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)
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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)
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2e42997e7ac2db7b6d00c58eb50e0be009f2b8e5
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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"
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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
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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))
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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
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0.180723
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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()
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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")
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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
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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
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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
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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
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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()
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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
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0.72449
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4.666667
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1
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0
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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
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0.647059
10
51
3.2
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0.196078
51
2
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25.5
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null
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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
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0.001404
0.078913
773
13
98
59.461538
0.928371
0.416559
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true
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0
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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
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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()
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false
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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()
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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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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
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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
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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)
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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 *
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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
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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)
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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
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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
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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
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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
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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
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0
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0.072555
317
10
109
31.7
0.5
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1
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false
0
0.375
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0.375
0.25
1
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0
null
0
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null
0
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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
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true
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0
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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
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0
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0.314381
0.11276
337
4
300
84.25
0.434783
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0.333333
0.895833
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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
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0
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0
0
0
0
0.25
0.157895
19
1
19
19
0.4375
0
0
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0
0.315789
0
0
0
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0
false
0
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1
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null
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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
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0
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0.294737
0
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1
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true
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null
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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
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0
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0
0
0.073171
246
5
70
49.2
0.903509
0
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0
0.191057
0
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0
1
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false
0
0.75
0
0.75
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0
null
0
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null
0
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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
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true
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0.5
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0
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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
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0
0
0
0
0
0
0
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0
null
0
0
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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
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1
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true
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1
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null
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0
null
0
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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
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0
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0
0
0
0
0
0
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1
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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
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0
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0
0
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1
0
true
0
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0.5
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1
1
0
null
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0
0
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0
null
0
0
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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
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0
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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
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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
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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
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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
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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 = []
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0
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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
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61
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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
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39
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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
0.492701
23
274
5.521739
0.695652
0.173228
0.330709
0
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0.012146
0.09854
274
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43
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0
1
0
1
0
0
1
0
5
a479a523b52deb6c77a24eb04d848a0983c336a0
152
py
Python
mysite/slhpa/admin.py
jeffb4real/SLHPA-Web-App
cdb837ee24d790d48e8280b3d085be12cfdc52bb
[ "MIT" ]
1
2019-02-28T09:16:43.000Z
2019-02-28T09:16:43.000Z
mysite/slhpa/admin.py
jeffb4real/SLHPA-Web-App
cdb837ee24d790d48e8280b3d085be12cfdc52bb
[ "MIT" ]
9
2019-02-08T05:01:53.000Z
2021-04-08T19:12:44.000Z
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)
21.714286
47
0.842105
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7.111111
0.555556
0.140625
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6
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25.333333
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1
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5
f11af53535d1ba5fcbb9d035aceaeadf138c8b67
117,796
py
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
json_raw = """{"points":[{"ecole_RNE":"0130753Y","ecole_lat":"43.2975202863","ecole_long":"5.36703973974","ecole_appellation":"Ecole \u00e9l\u00e9mentaire d'application Mont\u00e9e des Accoules","CRITERE1":"ECOLE ELEMENTAIRE D'APPLICATION","CRITERE2":"13002","CRITERE3":"4","CRITERE4":"DEFAVORABLE","CRITERE5":"100-200"},{"ecole_RNE":"0130630P","ecole_lat":"43.3061271674","ecole_long":"5.3763300956","ecole_appellation":"Ecole \u00e9l\u00e9mentaire d'application Saint Charles 1","CRITERE1":"ECOLE ELEMENTAIRE D'APPLICATION","CRITERE2":"13003","CRITERE3":"4","CRITERE4":"DEFAVORABLE","CRITERE5":"100-200"},{"ecole_RNE":"0130710B","ecole_lat":"43.2902483934","ecole_long":"5.36947012404","ecole_appellation":"Ecole \u00e9l\u00e9mentaire d'application Corderie","CRITERE1":"ECOLE ELEMENTAIRE D'APPLICATION","CRITERE2":"13007","CRITERE3":"3","CRITERE4":"FAVORABLE","CRITERE5":"100-200"},{"ecole_RNE":"0132183C","ecole_lat":"43.3252453025","ecole_long":"5.42851248915","ecole_appellation":"Ecole \u00e9l\u00e9mentaire Rose Frais Vallon Sud","CRITERE1":"ECOLE ELEMENTAIRE PUBLIQUE","CRITERE2":"13013","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"100-200"},{"ecole_RNE":"0130536M","ecole_lat":"43.3349746252","ecole_long":"5.36041988299","ecole_appellation":"Ecole \u00e9l\u00e9mentaire La Cabucelle","CRITERE1":"ECOLE ELEMENTAIRE PUBLIQUE","CRITERE2":"13015","CRITERE3":null,"CRITERE4":null,"CRITERE5":"200-300"},{"ecole_RNE":"0130551D","ecole_lat":"43.2837174753","ecole_long":"5.44886026687","ecole_appellation":"Ecole \u00e9l\u00e9mentaire Cit\u00e9 Michelis 1","CRITERE1":"ECOLE ELEMENTAIRE PUBLIQUE","CRITERE2":"13011","CRITERE3":"3","CRITERE4":"FAVORABLE","CRITERE5":"100-200"},{"ecole_RNE":"0130609S","ecole_lat":"43.2752142783","ecole_long":"5.41609042078","ecole_appellation":"Ecole \u00e9l\u00e9mentaire Pont de Vivaux Saccoman","CRITERE1":"ECOLE ELEMENTAIRE PUBLIQUE","CRITERE2":"13010","CRITERE3":"3","CRITERE4":"FAVORABLE","CRITERE5":"300-400"},{"ecole_RNE":"0130531G","ecole_lat":"43.2963417948","ecole_long":"5.40408004628","ecole_appellation":"Ecole \u00e9l\u00e9mentaire Boisson","CRITERE1":"ECOLE ELEMENTAIRE PUBLIQUE","CRITERE2":"13004","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"100-200"},{"ecole_RNE":"0130537N","ecole_lat":"43.301368906","ecole_long":"5.4483900875","ecole_appellation":"Ecole \u00e9l\u00e9mentaire Caillols","CRITERE1":"ECOLE ELEMENTAIRE PUBLIQUE","CRITERE2":"13012","CRITERE3":"4","CRITERE4":"DEFAVORABLE","CRITERE5":"200-300"},{"ecole_RNE":"0130541T","ecole_lat":"43.3307218542","ecole_long":"5.37477996175","ecole_appellation":"Ecole \u00e9l\u00e9mentaire Canet Ambrosini","CRITERE1":"ECOLE ELEMENTAIRE PUBLIQUE","CRITERE2":"13014","CRITERE3":"3","CRITERE4":"FAVORABLE","CRITERE5":"200-300"},{"ecole_RNE":"0130548A","ecole_lat":"43.2862143053","ecole_long":"5.3592494797","ecole_appellation":"Ecole \u00e9l\u00e9mentaire Chateaubriand","CRITERE1":"ECOLE ELEMENTAIRE PUBLIQUE","CRITERE2":"13007","CRITERE3":"4","CRITERE4":"DEFAVORABLE","CRITERE5":"100-200"},{"ecole_RNE":"0130553F","ecole_lat":"43.3237084355","ecole_long":"5.38474722664","ecole_appellation":"Ecole \u00e9l\u00e9mentaire Clair Soleil","CRITERE1":"ECOLE ELEMENTAIRE PUBLIQUE","CRITERE2":"13014","CRITERE3":"2","CRITERE4":"FAVORABLE","CRITERE5":"200-300"},{"ecole_RNE":"0130554G","ecole_lat":"43.265058154","ecole_long":"5.40220985843","ecole_appellation":"Ecole \u00e9l\u00e9mentaire Coin Joli","CRITERE1":"ECOLE ELEMENTAIRE PUBLIQUE","CRITERE2":"13009","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"200-300"},{"ecole_RNE":"0130558L","ecole_lat":"43.2838136955","ecole_long":"5.37897076492","ecole_appellation":"Ecole \u00e9l\u00e9mentaire Jean Fiolle","CRITERE1":"ECOLE ELEMENTAIRE PUBLIQUE","CRITERE2":"13006","CRITERE3":"3","CRITERE4":"FAVORABLE","CRITERE5":"300-400"},{"ecole_RNE":"0130561P","ecole_lat":"43.3613369952","ecole_long":"5.32046015424","ecole_appellation":"Ecole \u00e9l\u00e9mentaire Estaque Gare","CRITERE1":"ECOLE ELEMENTAIRE PUBLIQUE","CRITERE2":"13016","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"100-200"},{"ecole_RNE":"0130574D","ecole_lat":"43.3040154254","ecole_long":"5.37019985388","ecole_appellation":"Ecole \u00e9l\u00e9mentaire Hozier","CRITERE1":"ECOLE ELEMENTAIRE PUBLIQUE","CRITERE2":"13002","CRITERE3":"3","CRITERE4":"FAVORABLE","CRITERE5":"200-300"},{"ecole_RNE":"0130576F","ecole_lat":"43.2726707752","ecole_long":"5.38695034903","ecole_appellation":"Ecole \u00e9l\u00e9mentaire Jean Mermoz","CRITERE1":"ECOLE ELEMENTAIRE PUBLIQUE","CRITERE2":"13008","CRITERE3":"3","CRITERE4":"DEFAVORABLE","CRITERE5":"200-300"},{"ecole_RNE":"0130589V","ecole_lat":"43.2848760707","ecole_long":"5.39475946705","ecole_appellation":"Ecole \u00e9l\u00e9mentaire Menpenti","CRITERE1":"ECOLE ELEMENTAIRE PUBLIQUE","CRITERE2":"13010","CRITERE3":"3","CRITERE4":"FAVORABLE","CRITERE5":"200-300"},{"ecole_RNE":"0130603K","ecole_lat":"43.2711792393","ecole_long":"5.40901942555","ecole_appellation":"Ecole \u00e9l\u00e9mentaire La Pauline","CRITERE1":"ECOLE ELEMENTAIRE PUBLIQUE","CRITERE2":"13009","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"200-300"},{"ecole_RNE":"0130606N","ecole_lat":"43.2425483666","ecole_long":"5.372630102","ecole_appellation":"Ecole elementaire Pointe Rouge","CRITERE1":"ECOLE ELEMENTAIRE PUBLIQUE","CRITERE2":"13008","CRITERE3":"4","CRITERE4":"FAVORABLE","CRITERE5":"300-400"},{"ecole_RNE":"0130617A","ecole_lat":"43.3358466334","ecole_long":"5.42510000249","ecole_appellation":"Ecole \u00e9l\u00e9mentaire Rose Sauvagine","CRITERE1":"ECOLE ELEMENTAIRE 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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]])
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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
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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
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f137f141651e560cfa387ec3bbebc49e5867d741
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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)
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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)
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f175d58f2b2d4d3f0d53801ae5480f6f7f771bec
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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
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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()
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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 *
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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)
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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
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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
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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
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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
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0.709056
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0.439306
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0.439306
0.439306
0.439306
0.439306
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0.097331
0.112813
718
25
91
28.72
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