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qsc_code_num_chars_quality_signal
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qsc_code_mean_word_length_quality_signal
float64
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qsc_code_frac_chars_top_2grams_quality_signal
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qsc_code_frac_chars_top_3grams_quality_signal
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qsc_code_frac_chars_top_4grams_quality_signal
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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
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qsc_codepython_score_lines_no_logic_quality_signal
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qsc_codepython_frac_lines_print_quality_signal
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qsc_code_num_words
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qsc_code_frac_chars_top_2grams
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qsc_code_frac_chars_dupe_5grams
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qsc_code_frac_chars_dupe_7grams
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qsc_code_frac_chars_dupe_8grams
int64
qsc_code_frac_chars_dupe_9grams
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qsc_code_frac_chars_dupe_10grams
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qsc_code_frac_chars_replacement_symbols
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qsc_code_frac_chars_digital
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qsc_code_frac_lines_string_concat
null
qsc_code_cate_encoded_data
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effective
string
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9bee3a9f162a2d7f5f31dde5176e04edbaf46018
224
py
Python
src/apps/streaming_plots/tests.py
MarcSkovMadsen/awesome-panel-starter
b76854882a041c7b955a59785d08e167ffef07af
[ "Apache-2.0" ]
5
2021-01-04T16:39:09.000Z
2021-08-03T15:26:49.000Z
src/apps/streaming_plots/tests.py
MarcSkovMadsen/awesome-panel-starter
b76854882a041c7b955a59785d08e167ffef07af
[ "Apache-2.0" ]
6
2020-12-28T03:28:25.000Z
2021-09-11T13:07:51.000Z
src/apps/streaming_plots/tests.py
MarcSkovMadsen/awesome-panel-starter
b76854882a041c7b955a59785d08e167ffef07af
[ "Apache-2.0" ]
1
2021-09-15T20:08:44.000Z
2021-09-15T20:08:44.000Z
"""Test of the App""" # pylint: disable=redefined-outer-name,protected-access # pylint: disable=missing-function-docstring,missing-module-docstring,missing-class-docstring from .app import view def test_view(): view()
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py
Python
json2oraparser/MetadataController/__init__.py
ntpythondev/json2oraparser
d03e31a13dbafb8650ebeec0fc1560ead488193c
[ "MIT" ]
1
2019-10-23T11:12:13.000Z
2019-10-23T11:12:13.000Z
json2oraparser/MetadataController/__init__.py
ntpythondev/testpypi2019
e9b767d4353e09861a6f7408613bb18bdbd4df04
[ "MIT" ]
null
null
null
json2oraparser/MetadataController/__init__.py
ntpythondev/testpypi2019
e9b767d4353e09861a6f7408613bb18bdbd4df04
[ "MIT" ]
null
null
null
from MetadataList import MetadataList
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py
Python
object_detection2/modeling/semantic_heads/build.py
vghost2008/wml
d0c5a1da6c228e321ae59a563e9ac84aa66266ff
[ "MIT" ]
6
2019-12-10T17:18:56.000Z
2022-03-01T01:00:35.000Z
object_detection2/modeling/semantic_heads/build.py
vghost2008/wml
d0c5a1da6c228e321ae59a563e9ac84aa66266ff
[ "MIT" ]
2
2021-08-25T16:16:01.000Z
2022-02-10T05:21:19.000Z
object_detection2/modeling/semantic_heads/build.py
vghost2008/wml
d0c5a1da6c228e321ae59a563e9ac84aa66266ff
[ "MIT" ]
2
2019-12-07T09:57:35.000Z
2021-09-06T04:58:10.000Z
from thirdparty.registry import Registry SEMANTIC_HEAD = Registry("SEMANTIC_HEAD") def build_semantic_head(name, *args, **kwargs): head = SEMANTIC_HEAD.get(name)(*args, **kwargs) return head
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py
Python
ffmpeg_db/all.py
audo-ai/ffmpeg-db
1f82aaf366950a9d5f9b086503ce1976a47456c4
[ "MIT" ]
null
null
null
ffmpeg_db/all.py
audo-ai/ffmpeg-db
1f82aaf366950a9d5f9b086503ce1976a47456c4
[ "MIT" ]
null
null
null
ffmpeg_db/all.py
audo-ai/ffmpeg-db
1f82aaf366950a9d5f9b086503ce1976a47456c4
[ "MIT" ]
null
null
null
from ffmpeg_db import ext_to_codecs_json, codec_info_json ext_to_codecs = ext_to_codecs_json() codec_info = codec_info_json()
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py
Python
pyplumio/helpers/product_info.py
denpamusic/PyPlumIO
16e8049977cbfbb1bd6c830beb751e65ee270295
[ "MIT" ]
1
2022-03-24T21:44:59.000Z
2022-03-24T21:44:59.000Z
pyplumio/helpers/product_info.py
denpamusic/PyPlumIO
16e8049977cbfbb1bd6c830beb751e65ee270295
[ "MIT" ]
null
null
null
pyplumio/helpers/product_info.py
denpamusic/PyPlumIO
16e8049977cbfbb1bd6c830beb751e65ee270295
[ "MIT" ]
null
null
null
"""Contains product info representation.""" from dataclasses import dataclass from typing import Optional @dataclass class ProductInfo: """Represents product info provided by UID response.""" type: int = 0 product: int = 0 uid: Optional[str] = None logo: int = 0 image: int = 0 model: Optional[str] = None @dataclass class ConnectedModules: """Represents firmware version info.""" module_a: Optional[str] = None module_b: Optional[str] = None module_c: Optional[str] = None module_lambda: Optional[str] = None module_ecoster: Optional[str] = None module_panel: Optional[str] = None
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py
Python
supermoto/helpers.py
vivainio/supermoto
7cc4c15df960dcc4182295c7407428a67e8c0dff
[ "MIT" ]
1
2021-04-21T12:36:24.000Z
2021-04-21T12:36:24.000Z
supermoto/helpers.py
vivainio/supermoto
7cc4c15df960dcc4182295c7407428a67e8c0dff
[ "MIT" ]
null
null
null
supermoto/helpers.py
vivainio/supermoto
7cc4c15df960dcc4182295c7407428a67e8c0dff
[ "MIT" ]
null
null
null
def generate_instance_identity_document(instance): return { "instanceId": instance.id, }
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py
Python
fbgemm_gpu/fbgemm_gpu/split_embedding_codegen_lookup_invokers.py
garroud/FBGEMM
a0c9ea3bbcbd8516ff6a9124d11c47267c714abc
[ "BSD-3-Clause" ]
792
2018-10-30T22:04:06.000Z
2022-03-31T10:56:18.000Z
fbgemm_gpu/fbgemm_gpu/split_embedding_codegen_lookup_invokers.py
garroud/FBGEMM
a0c9ea3bbcbd8516ff6a9124d11c47267c714abc
[ "BSD-3-Clause" ]
922
2018-11-05T07:03:04.000Z
2022-03-31T20:02:30.000Z
fbgemm_gpu/fbgemm_gpu/split_embedding_codegen_lookup_invokers.py
garroud/FBGEMM
a0c9ea3bbcbd8516ff6a9124d11c47267c714abc
[ "BSD-3-Clause" ]
255
2018-10-30T22:04:24.000Z
2022-03-31T17:42:28.000Z
#!/usr/bin/env python3 # Copyright (c) Facebook, Inc. and its affiliates. # All rights reserved. # This source code is licensed under the BSD-style license found in the # LICENSE file in the root directory of this source tree. import python.lookup_adagrad as lookup_adagrad # noqa: F401 import python.lookup_adam as lookup_adam # noqa: F401 import python.lookup_approx_rowwise_adagrad as lookup_approx_rowwise_adagrad # noqa: F401 import python.lookup_approx_sgd as lookup_approx_sgd # noqa: F401 import python.lookup_args as lookup_args # noqa: F401 import python.lookup_lamb as lookup_lamb # noqa: F401 import python.lookup_lars_sgd as lookup_lars_sgd # noqa: F401 import python.lookup_partial_rowwise_adam as lookup_partial_rowwise_adam # noqa: F401 import python.lookup_partial_rowwise_lamb as lookup_partial_rowwise_lamb # noqa: F401 import python.lookup_rowwise_adagrad as lookup_rowwise_adagrad # noqa: F401 import python.lookup_sgd as lookup_sgd # noqa: F401
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py
Python
nso_jsonrpc_requester/__init__.py
btr1975/nso_jsonrpc_requester
63362045b998e1b7a2235804c55da151b781c0bd
[ "MIT" ]
null
null
null
nso_jsonrpc_requester/__init__.py
btr1975/nso_jsonrpc_requester
63362045b998e1b7a2235804c55da151b781c0bd
[ "MIT" ]
null
null
null
nso_jsonrpc_requester/__init__.py
btr1975/nso_jsonrpc_requester
63362045b998e1b7a2235804c55da151b781c0bd
[ "MIT" ]
null
null
null
""" This exports the main Classes to use NSO JSON-RPC """ from .config import NsoJsonRpcConfig from .comet import NsoJsonRpcComet
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py
Python
ultimatetictactoe/game/__init__.py
stoimenoff/ultimate-tic-tac-tie
1d6980dcf51c020edef5edd2a1772cd96c003fd0
[ "MIT" ]
4
2016-11-02T19:00:29.000Z
2019-12-05T10:38:20.000Z
ultimatetictactoe/game/__init__.py
stoimenoff/ultimate-tic-tac-tie
1d6980dcf51c020edef5edd2a1772cd96c003fd0
[ "MIT" ]
null
null
null
ultimatetictactoe/game/__init__.py
stoimenoff/ultimate-tic-tac-tie
1d6980dcf51c020edef5edd2a1772cd96c003fd0
[ "MIT" ]
3
2016-05-26T17:38:57.000Z
2019-05-05T17:29:29.000Z
from . import boards from . import players __all__ = ['boards', 'players']
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py
Python
Python/code case/code case 220.py
amazing-2020/pdf
8cd3f5f510a1c1ed89b51b1354f4f8c000c5b24d
[ "Apache-2.0" ]
3
2021-01-01T13:08:24.000Z
2021-02-03T09:27:56.000Z
Python/code case/code case 220.py
amazing-2020/pdf
8cd3f5f510a1c1ed89b51b1354f4f8c000c5b24d
[ "Apache-2.0" ]
null
null
null
Python/code case/code case 220.py
amazing-2020/pdf
8cd3f5f510a1c1ed89b51b1354f4f8c000c5b24d
[ "Apache-2.0" ]
null
null
null
for i in range(1, 5): print(" "*(4-i), end="") for j in range(1, 2*i): print("*", end="") print() for i in range(1, 4): print(" "*(i), end="") for j in range(7-2*i): print("*", end="") print()
21.181818
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0.307692
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0.242424
0.222222
0.848485
0.30303
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0.055556
0.304721
233
10
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23.3
0.555556
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0
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0
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1
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5
4a181452ac41a30ad622005bf73d418e82777492
56
py
Python
pyit/lint.py
ysv/pyit
681535dd162613ee4ab8bb55216f0770e596f82e
[ "MIT" ]
null
null
null
pyit/lint.py
ysv/pyit
681535dd162613ee4ab8bb55216f0770e596f82e
[ "MIT" ]
null
null
null
pyit/lint.py
ysv/pyit
681535dd162613ee4ab8bb55216f0770e596f82e
[ "MIT" ]
null
null
null
class Lint: def __init__(self, file): pass
11.2
29
0.571429
7
56
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0.339286
56
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0.756757
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0.333333
false
0.333333
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0.666667
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null
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1
0
1
0
0
1
0
0
5
c59f089bbe50da5ddddb4edf7c3fa0b371866c21
485
py
Python
hocort/pipelines/__init__.py
ignasrum/hocort
5bf137ecaf8816cc8d951bb5168588eb87811097
[ "MIT" ]
null
null
null
hocort/pipelines/__init__.py
ignasrum/hocort
5bf137ecaf8816cc8d951bb5168588eb87811097
[ "MIT" ]
null
null
null
hocort/pipelines/__init__.py
ignasrum/hocort
5bf137ecaf8816cc8d951bb5168588eb87811097
[ "MIT" ]
null
null
null
from hocort.pipelines.bowtie2 import Bowtie2 from hocort.pipelines.bowtie2_hisat2 import Bowtie2HISAT2 from hocort.pipelines.bowtie2_bowtie2 import Bowtie2Bowtie2 from hocort.pipelines.bwa_mem2 import BWA_MEM2 from hocort.pipelines.hisat2 import HISAT2 from hocort.pipelines.minimap2 import Minimap2 from hocort.pipelines.star import STAR from hocort.pipelines.kraken2 import Kraken2 from hocort.pipelines.kraken2_bowtie2 import Kraken2Bowtie2 from hocort.pipelines.bbmap import BBMap
44.090909
59
0.876289
65
485
6.461538
0.230769
0.238095
0.452381
0.185714
0
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0
0.049438
0.082474
485
10
60
48.5
0.894382
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true
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0
1
0
0
0
0
5
a860e4256354323882c2f18267d7068e9cf50126
3,844
py
Python
tank/lod.py
woailuoli993/ksxingtest
09d861d076a1ff03152e27f5fb29e5c90144d0d1
[ "WTFPL" ]
null
null
null
tank/lod.py
woailuoli993/ksxingtest
09d861d076a1ff03152e27f5fb29e5c90144d0d1
[ "WTFPL" ]
2
2021-03-31T18:39:09.000Z
2021-12-13T19:44:48.000Z
tank/lod.py
woailuoli993/ksxingtest
09d861d076a1ff03152e27f5fb29e5c90144d0d1
[ "WTFPL" ]
null
null
null
# -*- coding: utf-8 -*- from copy import deepcopy directions = { 0: (1, 0), 1: (-1, 0), 2: (0, 1), 3: (0, -1) } OBSTACLE = '1' game_map = [["1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1"], ["1", "2", "2", "2", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "1"], ["1", "2", "0", "1", "0", "0", "0", "0", "0", "1", "0", "0", "0", "0", "0", "0", "0", "0", "1"], ["1", "1", "1", "1", "0", "0", "0", "0", "0", "1", "0", "0", "0", "0", "0", "0", "0", "0", "1"], ["1", "0", "0", "0", "0", "0", "0", "0", "0", "1", "0", "0", "0", "0", "0", "0", "0", "0", "1"], ["1", "0", "0", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "0", "0", "0", "0", "1"], ["1", "0", "0", "0", "0", "2", "2", "1", "2", "2", "2", "2", "2", "2", "0", "0", "0", "0", "1"], ["1", "0", "0", "0", "0", "2", "2", "1", "2", "2", "2", "2", "2", "2", "0", "0", "0", "0", "1"], ["1", "0", "0", "0", "0", "2", "2", "2", "2", "2", "2", "2", "2", "2", "0", "0", "0", "0", "1"], ["1", "0", "0", "0", "0", "2", "2", "2", "2", "2", "2", "2", "2", "2", "0", "0", "0", "0", "1"], ["1", "0", "0", "0", "0", "2", "2", "2", "2", "2", "2", "2", "2", "2", "0", "0", "0", "0", "1"], ["1", "0", "0", "0", "0", "2", "2", "2", "2", "2", "2", "1", "2", "2", "0", "0", "0", "0", "1"], ["1", "0", "0", "0", "0", "2", "2", "2", "2", "2", "2", "1", "2", "2", "0", "0", "0", "0", "1"], ["1", "0", "0", "0", "0", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "0", "0", "1"], ["1", "0", "0", "0", "0", "0", "0", "0", "0", "1", "0", "0", "0", "0", "0", "0", "0", "0", "1"], ["1", "0", "0", "0", "0", "0", "0", "0", "0", "1", "0", "0", "0", "0", "0", "1", "1", "1", "1"], ["1", "0", "0", "0", "0", "0", "0", "0", "0", "1", "0", "0", "0", "0", "0", "1", "0", "2", "1"], ["1", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "2", "2", "2", "1"], ["1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1"]] def move(node, direction, d): return node[0] + direction[0], node[1]+ direction[1], d def movable(node): x, y = node[0], node[1] if x < 0 or y < 0: return False if game_map[x][y] == OBSTACLE: return False return True def h(node, dest): return max(abs(dest[0] - node[0]), abs(dest[1] - node[1])) def find_path(start_node, dest_node): g = {} f = {} parent = {} close_list = [] open_list = [] open_list.append(start_node) cur_node = start_node g[start_node] = 0 f[start_node] = 0 while not (cur_node[0] == dest_node[0] and cur_node[1] == dest_node[1]): open_list = sorted(open_list) cur_node = open_list.pop() for d, direction in directions.items(): next_node = move(cur_node, direction, d) if not movable(next_node) or next_node in close_list: continue if next_node[2] == cur_node[2]: ggg = g[cur_node] + 1 else: ggg = g[cur_node] + 2 fff = ggg + h(next_node, dest_node) if next_node not in open_list: f[next_node] = fff g[next_node] = ggg parent[next_node] = cur_node open_list.append(next_node) elif next_node in open_list and f[next_node] > fff: f[next_node] = fff g[next_node] = ggg parent[next_node] = cur_node close_list.append(cur_node) while cur_node != start_node: cur_map = deepcopy(game_map) cur_map[cur_node[0]][cur_node[1]] = '*' lo_map = '' for y in cur_map: lo_map += ' '.join(y) lo_map += '\n' cur_node = parent[cur_node] if __name__ == '__main__': find_path((1, 1, 0), (10, 10, 0))
45.223529
1,854
0.365765
651
3,844
2.050691
0.096774
0.221723
0.260674
0.257678
0.33633
0.33633
0.33633
0.331835
0.331835
0.330337
0
0.145878
0.274194
3,844
84
1,855
45.761905
0.332616
0.005463
0
0.129032
0
0
0.097931
0
0
0
0
0
0
1
0.064516
false
0
0.016129
0.032258
0.16129
0
0
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
1
0
0
0
0
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null
0
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0
0
0
0
0
0
0
0
0
0
5
a883eeace941bee2dafdf97296d509d2d2904de1
131
py
Python
autox/__init__.py
OneToolsCollection/4paradigm-AutoX
f8e838021354de17f5bb9bc44e9d68d12dda6427
[ "Apache-2.0" ]
null
null
null
autox/__init__.py
OneToolsCollection/4paradigm-AutoX
f8e838021354de17f5bb9bc44e9d68d12dda6427
[ "Apache-2.0" ]
null
null
null
autox/__init__.py
OneToolsCollection/4paradigm-AutoX
f8e838021354de17f5bb9bc44e9d68d12dda6427
[ "Apache-2.0" ]
null
null
null
from .autox import AutoX from .autots import AutoTS from .autoxserver import AutoXServer from .autoxrecommend import AutoXRecommend
32.75
42
0.854962
16
131
7
0.375
0
0
0
0
0
0
0
0
0
0
0
0.114504
131
4
42
32.75
0.965517
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true
0
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null
0
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null
0
0
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0
0
0
1
0
1
0
1
0
0
5
a8840f6f56ecaa2fb24725f1ebcf4f57895fb9a9
56
py
Python
DataLoader/__init__.py
Rawan19/HMNet
2aa8de20558412c1adb15fac69f18f50d6f59227
[ "MIT" ]
49
2021-01-04T22:39:19.000Z
2022-03-19T13:08:30.000Z
DataLoader/__init__.py
Rawan19/HMNet
2aa8de20558412c1adb15fac69f18f50d6f59227
[ "MIT" ]
7
2021-03-02T18:25:11.000Z
2022-02-01T16:27:36.000Z
DataLoader/__init__.py
Rawan19/HMNet
2aa8de20558412c1adb15fac69f18f50d6f59227
[ "MIT" ]
19
2021-03-07T17:28:19.000Z
2021-12-16T02:14:41.000Z
from .infinibatch.infinibatch import datasets, iterators
56
56
0.875
6
56
8.166667
0.833333
0
0
0
0
0
0
0
0
0
0
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0.071429
56
1
56
56
0.942308
0
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true
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null
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0
0
1
0
1
0
1
0
0
5
a898144f284de14d0f4f6ce9285e7d86235966c2
12,828
py
Python
esper/controllers/pipeline/pipeline.py
pallavigopi/esper-cli
83c3536088031fd6a9e5e6e7ae8f18e3e82eeb78
[ "Apache-2.0" ]
7
2019-05-17T06:56:37.000Z
2022-03-18T16:54:48.000Z
esper/controllers/pipeline/pipeline.py
pallavigopi/esper-cli
83c3536088031fd6a9e5e6e7ae8f18e3e82eeb78
[ "Apache-2.0" ]
5
2019-07-29T17:55:33.000Z
2022-01-19T02:01:45.000Z
esper/controllers/pipeline/pipeline.py
pallavigopi/esper-cli
83c3536088031fd6a9e5e6e7ae8f18e3e82eeb78
[ "Apache-2.0" ]
9
2019-08-22T06:15:39.000Z
2021-10-04T09:08:50.000Z
from enum import Enum from cement import Controller, ex from clint.textui import prompt from esper.controllers.enums import OutputFormat from esper.ext.db_wrapper import DBWrapper from esper.ext.pipeline_api import get_pipeline_url, create_pipeline, edit_pipeline, list_pipelines, fetch_pipelines, \ APIException, render_single_dict, delete_api from esper.ext.utils import validate_creds_exists class TriggerEventType(Enum): NEW_APP_VERSION_EVENT = "NewAppVersionEvent" DEVICE_COMMAND_COMPLETE_EVENT = "DeviceCommandCompleteEvent" GROUP_COMMAND_COMPLETE_EVENT = "GroupCommandCompleteEvent" MANUAL_PIPELINE_START_EVENT = "StartPipelineEvent" class Pipeline(Controller): class Meta: label = 'pipeline' # text displayed at the top of --help output description = 'Pipeline commands' # text displayed at the bottom of --help output epilog = 'Usage: espercli pipeline' stacked_type = 'nested' stacked_on = 'base' @ex( help='Create a pipeline', arguments=[ (['-n', '--name'], {'help': 'Name of the Pipeline', 'action': 'store', 'dest': 'name', 'default': None}), (['--desc'], {'help': 'Pipeline Description', 'action': 'store', 'dest': 'desc', 'default': None}) ] ) def create(self): validate_creds_exists(self.app) db = DBWrapper(self.app.creds) environment = db.get_configure().get("environment") enterprise_id = db.get_enterprise_id() name = self.app.pargs.name if not name: name = prompt.query("Name of the Pipeline: ") desc = self.app.pargs.desc if not desc: desc = input("Description for this Pipeline [optional]: ") # Setup Trigger trigger = prompt.options( "What type of trigger do you want for your Pipeline?", options=[ {"selector": 1, "prompt": TriggerEventType.NEW_APP_VERSION_EVENT.value, "return": TriggerEventType.NEW_APP_VERSION_EVENT.name}, {"selector": 2, "prompt": "Skip for now...", "return": "skip"} ]) if trigger != "skip": if trigger == TriggerEventType.NEW_APP_VERSION_EVENT.name: app_name = input("Enter the Application name: ") package_name = input("Enter the Package name: ") trigger = { "trigger_event": TriggerEventType.NEW_APP_VERSION_EVENT.value, "pre_conditions": { "application_name": app_name, "package_name": package_name } } else: trigger = None # Calling Pipeline Graphs API url = get_pipeline_url(environment, enterprise_id) api_key = db.get_configure().get("api_key") try: self.app.log.debug("Creating Pipeline...") response = create_pipeline(url, api_key, name, desc, trigger) except APIException: self.app.render("ERROR in connecting to Environment!\n") return if not response.ok: self.app.log.debug(f"Response not OK. Status Code: {response.status_code}") self.app.log.debug(f"Response not OK. Response: {response.json()}") if response.status_code == 400: errors = response.json().get('meta', {}).get('non_field_errors') if errors: self.app.log.error(f"Validation Error: {errors}") if response.json().get("errors"): self.app.log.error(f"Validation Error: {response.json().get('errors')}") if response.status_code == 404: self.app.log.error("Pipeline URL not found!") if response.status_code == 500: self.app.log.error(f"Internal Server Error! {response.json()}") return # Rendering table with populated values data = render_single_dict(response.json()) self.app.render(f"Created Pipeline Successfully! Details: \n") self.app.render(data, format=OutputFormat.TABULATED.value, headers="keys", tablefmt="plain") @ex( help='Edit a pipeline(s)', arguments=[ (['-n', '--name'], {'help': 'Name of the Pipeline', 'action': 'store', 'dest': 'name', 'default': None}), (['--desc'], {'help': 'Pipeline Description', 'action': 'store', 'dest': 'desc', 'default': None}), (['-p, --pipeline-id'], {'help': 'Pipeline ID', 'action': 'store', 'dest': 'pipeline_id', 'default': None}) ] ) def edit(self): validate_creds_exists(self.app) db = DBWrapper(self.app.creds) environment = db.get_configure().get("environment") enterprise_id = db.get_enterprise_id() name = self.app.pargs.name if not name: name = input("Change the name of the Pipeline: ") desc = self.app.pargs.desc if not desc: desc = input("Change the description for this Pipeline [optional]: ") pipeline_id = self.app.pargs.pipeline_id if not pipeline_id: pipeline_id = prompt.query("Enter the Pipeline ID: ") # Setup Trigger trigger = prompt.options( "What type of trigger do you want for your Pipeline?", options=[ {"selector": 1, "prompt": TriggerEventType.NEW_APP_VERSION_EVENT.value, "return": TriggerEventType.NEW_APP_VERSION_EVENT.name}, {"selector": 2, "prompt": "Skip for now...", "return": "skip"} ]) if trigger != "skip": if trigger == TriggerEventType.NEW_APP_VERSION_EVENT.name: app_name = input("Enter the Application name: ") package_name = input("Enter the Package name: ") trigger = { "trigger_event": TriggerEventType.NEW_APP_VERSION_EVENT.value, "pre_conditions": { "application_name": app_name, "package_name": package_name } } else: trigger = None if not name and not desc and not trigger: self.app.render("No changes requested. Exiting app!\n") return # Calling Pipeline Graphs API url = get_pipeline_url(environment, enterprise_id, pipeline_id=pipeline_id) api_key = db.get_configure().get("api_key") try: self.app.log.debug("Editing Pipeline...") response = edit_pipeline(url, api_key, name, desc, trigger) except APIException: self.app.render("ERROR in connecting to Environment!\n") return if not response.ok: self.app.log.debug(f"Response not OK. Status Code: {response.status_code}") self.app.log.debug(f"Response not OK. Response: {response.json()}") if response.status_code == 400: errors = response.json().get('meta', {}).get('non_field_errors') if errors: self.app.log.error(f"Validation Error: {errors}") if response.json().get("errors"): self.app.log.error(f"Validation Error: {response.json().get('errors')}") if response.status_code == 404: self.app.log.error("Pipeline URL not found!") if response.status_code == 500: self.app.log.error(f"Internal Server Error! {response.json()}") return # Rendering table with populated values data = render_single_dict(response.json()) self.app.render(f"Edited Pipeline Successfully! Details: \n") self.app.render(data, format=OutputFormat.TABULATED.value, headers="keys", tablefmt="plain") @ex( help='List or Fetch a pipeline(s)', arguments=[ (['-p', '--pipeline-id'], {'help': 'Name of the Pipeline', 'action': 'store', 'dest': 'pipeline_id', 'default': None}) ] ) def show(self): validate_creds_exists(self.app) db = DBWrapper(self.app.creds) environment = db.get_configure().get("environment") enterprise_id = db.get_enterprise_id() pipeline_id = self.app.pargs.pipeline_id # Calling Pipeline Graphs API url = get_pipeline_url(environment, enterprise_id, pipeline_id=pipeline_id) api_key = db.get_configure().get("api_key") try: self.app.log.debug("Listing Pipeline...") if pipeline_id: response = fetch_pipelines(url, api_key) else: response = list_pipelines(url, api_key) except APIException: self.app.render("ERROR in connecting to Environment!\n") return if not response.ok: self.app.log.debug(f"Response not OK. url: {response.url}") self.app.log.debug(f"Response not OK. Status Code: {response.status_code}") self.app.log.debug(f"Response not OK. Response: {response.json()}") if response.status_code == 400: errors = response.json().get('meta', {}).get('non_field_errors') if errors: self.app.log.error(f"Validation Error: {errors}") if response.json().get("errors"): self.app.log.error(f"Validation Error: {response.json().get('errors')}") if response.status_code == 404: self.app.log.error("Pipeline URL not found!") if response.status_code == 500: self.app.log.error(f"Internal Server Error! {response.json()}") return # Rendering table with populated values if not pipeline_id: data = response.json().get("results") else: data = [response.json()] render_data = [] for pipeline in data: trigger_app = None trigger_name = None trigger = pipeline.get("trigger", None) if trigger: trigger_name = trigger.get("trigger_event") trigger_app = trigger.get("pre_conditions") if trigger_app: trigger_app = trigger_app.get("application_name") render_pipeline = { "ID": pipeline.get("id"), "NAME": pipeline.get("name"), "DESCRIPTION": pipeline.get("description"), "STAGES": len(pipeline.get("stages")), "VERSION": pipeline.get("version"), "TRIGGER": trigger_name, "TRIGGER-APP": trigger_app } render_data.append(render_pipeline) self.app.render(f"Listing Pipeline! Details: \n") self.app.render(render_data, format=OutputFormat.TABULATED.value, headers="keys", tablefmt="plain") @ex( help='Remove a Pipeline', arguments=[ (['-p', '--pipeline-id'], {'help': 'Pipeline ID', 'action': 'store', 'dest': 'pipeline_id', 'default': None}) ] ) def remove(self): validate_creds_exists(self.app) db = DBWrapper(self.app.creds) environment = db.get_configure().get("environment") enterprise_id = db.get_enterprise_id() pipeline_id = self.app.pargs.pipeline_id if not pipeline_id: pipeline_id = prompt.query("Enter the Pipeline ID: ") # Calling Pipeline Graphs API url = get_pipeline_url(environment, enterprise_id, pipeline_id=pipeline_id) api_key = db.get_configure().get("api_key") try: self.app.log.debug("Removing Pipeline...") response = delete_api(url, api_key) except APIException: self.app.render("ERROR in connecting to Environment!\n") return if not response.ok: self.app.log.debug(f"Response not OK. Status Code: {response.status_code}") self.app.log.debug(f"Response not OK. Response: {response.json()}") if response.status_code == 404: self.app.log.error("Pipeline not found!") if response.status_code == 500: self.app.log.error(f"Internal Server Error! {response.json()}") return self.app.render(f"Removed Pipeline Successfully! \n")
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76cd33be6c5289cc2fbdf6a08e5b4c8248721d92
82
py
Python
catalyst/dl/runner/__init__.py
balakhonoff/catalyst
82d904aee97045efbaef3963e36c2ce5173ddac4
[ "Apache-2.0" ]
null
null
null
catalyst/dl/runner/__init__.py
balakhonoff/catalyst
82d904aee97045efbaef3963e36c2ce5173ddac4
[ "Apache-2.0" ]
null
null
null
catalyst/dl/runner/__init__.py
balakhonoff/catalyst
82d904aee97045efbaef3963e36c2ce5173ddac4
[ "Apache-2.0" ]
null
null
null
# flake8: noqa from .core import Runner from .supervised import SupervisedRunner
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4f123b04430dbf91bf451681c11ad723e6e3b437
155
py
Python
utils/testoval.py
justchris1/scap-security-guide
030097afa80041fcdffc537a49c09896efedadca
[ "BSD-3-Clause" ]
1
2021-09-24T07:49:08.000Z
2021-09-24T07:49:08.000Z
utils/testoval.py
justchris1/scap-security-guide
030097afa80041fcdffc537a49c09896efedadca
[ "BSD-3-Clause" ]
5
2019-05-30T15:47:50.000Z
2020-09-14T11:00:22.000Z
utils/testoval.py
justchris1/scap-security-guide
030097afa80041fcdffc537a49c09896efedadca
[ "BSD-3-Clause" ]
1
2019-01-24T18:08:45.000Z
2019-01-24T18:08:45.000Z
#!/usr/bin/env python import sys import os import ssg.oval # always use shared/testoval_module.py version if __name__ == "__main__": ssg.oval.main()
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4f21001becfd9476ad6b20a4c27f4f5c7622f70a
92
py
Python
src/setup.py
SandroWissmann/Bricks-Py
640140f9fd4a947b175a090563113108cc047f89
[ "MIT" ]
null
null
null
src/setup.py
SandroWissmann/Bricks-Py
640140f9fd4a947b175a090563113108cc047f89
[ "MIT" ]
null
null
null
src/setup.py
SandroWissmann/Bricks-Py
640140f9fd4a947b175a090563113108cc047f89
[ "MIT" ]
null
null
null
from setuptools import setup, find_packages setup(name="bricks", packages=find_packages())
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4f38bfe2ab7f45e8e4286ad4df5e57ffefe56884
213
py
Python
mnemon/services/scheduler.py
papagr/mnemon
e51787cea3d0d1a2d5e6b8b02211c2335ff73a11
[ "BSD-3-Clause" ]
1
2020-11-22T20:38:46.000Z
2020-11-22T20:38:46.000Z
mnemon/services/scheduler.py
papagr/mnemon
e51787cea3d0d1a2d5e6b8b02211c2335ff73a11
[ "BSD-3-Clause" ]
null
null
null
mnemon/services/scheduler.py
papagr/mnemon
e51787cea3d0d1a2d5e6b8b02211c2335ff73a11
[ "BSD-3-Clause" ]
null
null
null
import atexit # @UnresolvedImport from apscheduler.scheduler import Scheduler def init_scheduler(): scheduler = Scheduler() atexit.register(lambda: scheduler.shutdown(wait=False)) return scheduler
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4f3c4164ca14ecff093688ade0a2d250a2375849
92
py
Python
enthought/mayavi/core/lut_manager.py
enthought/etsproxy
4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347
[ "BSD-3-Clause" ]
3
2016-12-09T06:05:18.000Z
2018-03-01T13:00:29.000Z
enthought/mayavi/core/lut_manager.py
enthought/etsproxy
4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347
[ "BSD-3-Clause" ]
1
2020-12-02T00:51:32.000Z
2020-12-02T08:48:55.000Z
enthought/mayavi/core/lut_manager.py
enthought/etsproxy
4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347
[ "BSD-3-Clause" ]
null
null
null
# proxy module from __future__ import absolute_import from mayavi.core.lut_manager import *
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4f513992950c9270a6faf28c644444263538c6d6
116
py
Python
ckanpackager/lib/utils.py
NaturalHistoryMuseum/ckanpackager
7c2172b966fd0b5e0b2933c8c7af66355472de00
[ "CC-BY-4.0" ]
7
2015-11-11T02:21:07.000Z
2020-11-12T00:38:33.000Z
ckanpackager/lib/utils.py
NaturalHistoryMuseum/ckanpackager
7c2172b966fd0b5e0b2933c8c7af66355472de00
[ "CC-BY-4.0" ]
36
2015-01-12T12:43:13.000Z
2021-12-13T19:41:02.000Z
ckanpackager/lib/utils.py
NaturalHistoryMuseum/ckanpackager
7c2172b966fd0b5e0b2933c8c7af66355472de00
[ "CC-BY-4.0" ]
3
2018-09-10T23:49:11.000Z
2021-09-08T19:42:51.000Z
"""General utilities""" class BadRequestError(Exception): pass class NotAuthorizedError(Exception): pass
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4f8c6647fdbbbd8aaa3b35f4d168ce49af6908e4
44
py
Python
elfrewriter/errors.py
enthought/elfrewriter
7e2339fc21a045adbfd70c48900e6d29f4858062
[ "BSD-3-Clause" ]
1
2016-05-07T18:05:55.000Z
2016-05-07T18:05:55.000Z
elfrewriter/errors.py
enthought/elfrewriter
7e2339fc21a045adbfd70c48900e6d29f4858062
[ "BSD-3-Clause" ]
null
null
null
elfrewriter/errors.py
enthought/elfrewriter
7e2339fc21a045adbfd70c48900e6d29f4858062
[ "BSD-3-Clause" ]
1
2015-04-14T10:04:44.000Z
2015-04-14T10:04:44.000Z
class ELFRewriterError(Exception): pass
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96f502644d04025c059702b1cfa7363d6b4ccbce
3,994
py
Python
exercises/practice/dot-dsl/dot_dsl_test.py
Stigjb/python
cfb620d1603eb9b08511f96f00f872c67cac0d05
[ "MIT" ]
1,177
2017-06-21T20:24:06.000Z
2022-03-29T02:30:55.000Z
exercises/practice/dot-dsl/dot_dsl_test.py
Stigjb/python
cfb620d1603eb9b08511f96f00f872c67cac0d05
[ "MIT" ]
1,890
2017-06-18T20:06:10.000Z
2022-03-31T18:35:51.000Z
exercises/practice/dot-dsl/dot_dsl_test.py
Stigjb/python
cfb620d1603eb9b08511f96f00f872c67cac0d05
[ "MIT" ]
1,095
2017-06-26T23:06:19.000Z
2022-03-29T03:25:38.000Z
import unittest from dot_dsl import Graph, Node, Edge, NODE, EDGE, ATTR class DotDslTest(unittest.TestCase): def test_empty_graph(self): g = Graph() self.assertEqual(g.nodes, []) self.assertEqual(g.edges, []) self.assertEqual(g.attrs, {}) def test_graph_with_one_node(self): g = Graph([ (NODE, "a", {}) ]) self.assertEqual(g.nodes, [Node("a", {})]) self.assertEqual(g.edges, []) self.assertEqual(g.attrs, {}) def test_graph_with_one_node_with_keywords(self): g = Graph([ (NODE, "a", {"color": "green"}) ]) self.assertEqual(g.nodes, [Node("a", {"color": "green"})]) self.assertEqual(g.edges, []) self.assertEqual(g.attrs, {}) def test_graph_with_one_edge(self): g = Graph([ (EDGE, "a", "b", {}) ]) self.assertEqual(g.nodes, []) self.assertEqual(g.edges, [Edge("a", "b", {})]) self.assertEqual(g.attrs, {}) def test_graph_with_one_attribute(self): g = Graph([ (ATTR, "foo", "1") ]) self.assertEqual(g.nodes, []) self.assertEqual(g.edges, []) self.assertEqual(g.attrs, {"foo": "1"}) def test_graph_with_attributes(self): g = Graph([ (ATTR, "foo", "1"), (ATTR, "title", "Testing Attrs"), (NODE, "a", {"color": "green"}), (NODE, "c", {}), (NODE, "b", {"label": "Beta!"}), (EDGE, "b", "c", {}), (EDGE, "a", "b", {"color": "blue"}), (ATTR, "bar", "true") ]) self.assertEqual(g.nodes, [Node("a", {"color": "green"}), Node("c", {}), Node("b", {"label": "Beta!"})]) self.assertEqual(g.edges, [Edge("b", "c", {}), Edge("a", "b", {"color": "blue"})]) self.assertEqual(g.attrs, { "foo": "1", "title": "Testing Attrs", "bar": "true" }) def test_malformed_graph(self): with self.assertRaises(TypeError) as err: Graph(1) self.assertEqual(type(err.exception), TypeError) self.assertEqual(err.exception.args[0], "Graph data malformed") with self.assertRaises(TypeError) as err: Graph("problematic") self.assertEqual(type(err.exception), TypeError) self.assertEqual(err.exception.args[0], "Graph data malformed") def test_malformed_graph_item(self): with self.assertRaises(TypeError) as err: Graph([()]) self.assertEqual(type(err.exception), TypeError) self.assertEqual(err.exception.args[0], "Graph item incomplete") with self.assertRaises(TypeError) as err: Graph([(ATTR, )]) self.assertEqual(type(err.exception), TypeError) self.assertEqual(err.exception.args[0], "Graph item incomplete") def test_malformed_attr(self): with self.assertRaises(ValueError) as err: Graph([(ATTR, 1, 2, 3)]) self.assertEqual(type(err.exception), ValueError) self.assertEqual(err.exception.args[0], "Attribute is malformed") def test_malformed_node(self): with self.assertRaises(ValueError) as err: Graph([(NODE, 1, 2, 3)]) self.assertEqual(type(err.exception), ValueError) self.assertEqual(err.exception.args[0], "Node is malformed") def test_malformed_EDGE(self): with self.assertRaises(ValueError) as err: Graph([(EDGE, 1, 2)]) self.assertEqual(type(err.exception), ValueError) self.assertEqual(err.exception.args[0], "Edge is malformed") def test_unknown_item(self): with self.assertRaises(ValueError) as err: Graph([(99, 1, 2)]) self.assertEqual(type(err.exception), ValueError) self.assertEqual(err.exception.args[0], "Unknown item")
32.737705
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5
8c04498aa5a93bda3ce01b0171cdb285f063a073
159
py
Python
spambayes/scripts/sb_chkopts.py
alexeip0/spambayes
0c7d12cf4702ef82974ab16d2a36fa9ccedf185a
[ "PSF-2.0" ]
13
2015-07-03T06:53:47.000Z
2021-02-19T13:21:56.000Z
spambayes/scripts/sb_chkopts.py
alexeip0/spambayes
0c7d12cf4702ef82974ab16d2a36fa9ccedf185a
[ "PSF-2.0" ]
5
2015-07-16T07:33:46.000Z
2021-04-05T20:27:52.000Z
spambayes/scripts/sb_chkopts.py
alexeip0/spambayes
0c7d12cf4702ef82974ab16d2a36fa9ccedf185a
[ "PSF-2.0" ]
20
2015-05-16T22:42:14.000Z
2021-09-18T17:46:40.000Z
#!/usr/bin/env python """ Trivial script to check that the user's options file doesn't contain any old-style option names. """ from spambayes import Options
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5
8c123afd00f33c6d0adba1c564465da2226cd2e8
3,691
py
Python
macholib_tests/test_framework.py
pombredanne/bitbucket.org-pombredanne-macholib
7be0501117777714ab27464d62c580fdff06b016
[ "MIT" ]
3
2015-06-05T00:32:44.000Z
2017-01-06T15:44:32.000Z
macholib_tests/test_framework.py
pombredanne/bitbucket.org-pombredanne-macholib
7be0501117777714ab27464d62c580fdff06b016
[ "MIT" ]
null
null
null
macholib_tests/test_framework.py
pombredanne/bitbucket.org-pombredanne-macholib
7be0501117777714ab27464d62c580fdff06b016
[ "MIT" ]
null
null
null
from macholib import framework import sys if sys.version_info[:2] <= (2,6): import unittest2 as unittest else: import unittest class TestFramework (unittest.TestCase): def test_framework(self): self.assertEqual( framework.framework_info('Location/Name.framework/Versions/SomeVersion/Name_Suffix'), dict( location='Location', name='Name.framework/Versions/SomeVersion/Name_Suffix', shortname='Name', version='SomeVersion', suffix='Suffix', )) self.assertEqual( framework.framework_info('Location/Name.framework/Versions/SomeVersion/Name'), dict( location='Location', name='Name.framework/Versions/SomeVersion/Name', shortname='Name', version='SomeVersion', suffix=None, )) self.assertEqual( framework.framework_info('Location/Name.framework/Name_Suffix'), dict( location='Location', name='Name.framework/Name_Suffix', shortname='Name', version=None, suffix='Suffix', )) self.assertEqual( framework.framework_info('Location/Name.framework/Name'), dict( location='Location', name='Name.framework/Name', shortname='Name', version=None, suffix=None )) self.assertEqual( framework.framework_info('Location/Name.framework.disabled/Name'), None ) self.assertEqual( framework.framework_info('Location/Name.framework/Versions/A/B/Name'), None ) self.assertEqual( framework.framework_info('Location/Name.framework/Versions/A'), None ) self.assertEqual( framework.framework_info('Location/Name.framework/Versions/A/Name/_debug'), None ) def test_interal_tests(self): # Ported over from the source file def d(location=None, name=None, shortname=None, version=None, suffix=None): return dict( location=location, name=name, shortname=shortname, version=version, suffix=suffix ) self.assertEqual(framework.framework_info('completely/invalid'), None) self.assertEqual(framework.framework_info('completely/invalid/_debug'), None) self.assertEqual(framework.framework_info('P/F.framework'), None) self.assertEqual(framework.framework_info('P/F.framework/_debug'), None) self.assertEqual(framework.framework_info('P/F.framework/F'), d('P', 'F.framework/F', 'F')) self.assertEqual(framework.framework_info('P/F.framework/F_debug'), d('P', 'F.framework/F_debug', 'F', suffix='debug')) self.assertEqual(framework.framework_info('P/F.framework/Versions'), None) self.assertEqual(framework.framework_info('P/F.framework/Versions/A'), None) self.assertEqual(framework.framework_info('P/F.framework/Versions/A/F'), d('P', 'F.framework/Versions/A/F', 'F', 'A')) self.assertEqual(framework.framework_info('P/F.framework/Versions/A/F_debug'), d('P', 'F.framework/Versions/A/F_debug', 'F', 'A', 'debug')) if __name__ == "__main__": unittest.main()
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5
8c2dc7ad58ccf127100980700ae8b847c5bab2d2
39
py
Python
oscar/lib/python2.7/site-packages/isort/__main__.py
sainjusajan/django-oscar
466e8edc807be689b0a28c9e525c8323cc48b8e1
[ "BSD-3-Clause" ]
null
null
null
oscar/lib/python2.7/site-packages/isort/__main__.py
sainjusajan/django-oscar
466e8edc807be689b0a28c9e525c8323cc48b8e1
[ "BSD-3-Clause" ]
null
null
null
oscar/lib/python2.7/site-packages/isort/__main__.py
sainjusajan/django-oscar
466e8edc807be689b0a28c9e525c8323cc48b8e1
[ "BSD-3-Clause" ]
null
null
null
from isort.main import main main()
9.75
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4.5
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5
8c46355bb0a216aea63e0df7d138748af595ef6d
254
py
Python
sleepi/exceptions.py
brianlich/sleepi
08ad5f9b08afa8a8c844a6b4fa3208ba766e079c
[ "MIT" ]
null
null
null
sleepi/exceptions.py
brianlich/sleepi
08ad5f9b08afa8a8c844a6b4fa3208ba766e079c
[ "MIT" ]
null
null
null
sleepi/exceptions.py
brianlich/sleepi
08ad5f9b08afa8a8c844a6b4fa3208ba766e079c
[ "MIT" ]
null
null
null
"""Exceptions for Sleepi.""" class SleepiError(Exception): """Generic Sleepi exception.""" class SleepiConnectionError(SleepiError): """Sleepi connection exception.""" class SleepiGenericError(Exception): """Generic Sleepi exception."""
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5
8c5dbe1007cce325bfce78bf198b272b9794be29
11,765
py
Python
competitor/synth-action-seq/models/german/actions.py
ppnaumann/CSCF
ea8af1f2fdec3a90a041324a32893d5dadc7e14b
[ "MIT" ]
null
null
null
competitor/synth-action-seq/models/german/actions.py
ppnaumann/CSCF
ea8af1f2fdec3a90a041324a32893d5dadc7e14b
[ "MIT" ]
null
null
null
competitor/synth-action-seq/models/german/actions.py
ppnaumann/CSCF
ea8af1f2fdec3a90a041324a32893d5dadc7e14b
[ "MIT" ]
null
null
null
import tensorflow.compat.v1 as tf tf.disable_v2_behavior() import numpy as np from actions.action import Action import actions.condition_ops as cond # WaitYears class WaitYears(Action): def __init__(self, features): super().__init__(name='WaitYears', description='Wait x amount of years', type='Numeric', features=features, target_features=['age_in_years'], init_p=[0]) def apply(self, instance, p, use_tensor=True): param = self.get_param(p, use_tensor) return self.features['age_in_years'].change_feature_value(instance, param, use_tensor) def get_cost(self, instance, new_instance, use_tensor=True): new_age = self.features['age_in_years'].get_feature_value(new_instance, use_tensor, space='x') old_age = self.features['age_in_years'].get_feature_value(instance, use_tensor, space='x') cost = tf.abs(new_age - old_age) if use_tensor else np.abs(new_age - old_age) return self.return_cost(instance, new_instance, cost, use_tensor) def postcondition(self, instance, new_instance, use_tensor=True): new_age = self.features['age_in_years'].get_feature_value(new_instance, use_tensor, space='x') old_age = self.features['age_in_years'].get_feature_value(instance, use_tensor, space='x') return cond.op_and(cond.op_gt(new_age, old_age, use_tensor, scale=100.), cond.op_lt(new_age, 120, use_tensor, scale=100.), use_tensor) # Categorical Action class Naturalize(Action): def __init__(self, features): super().__init__(name='Naturalize', description='Become citizen', type='Categoric', num_params=0, features=features, target_features=['foreign_worker'], init_p=[]) def apply(self, instance, p, use_tensor=True): return self.features['foreign_worker'].change_feature_value(instance, 1, use_tensor) def get_cost(self, instance, new_instance, use_tensor=True): return self.return_cost(instance, new_instance, 5., use_tensor) def precondition(self, instance, use_tensor=True): return cond.op_neq(self.features['foreign_worker'].get_feature_value(instance, use_tensor), 1., use_tensor) class GetUnskilledJob(Action): def __init__(self, features): super().__init__(name='GetUnskilledJob', description='Get an unskilled job', type='Categoric', num_params=0, features=features, target_features=['job'], init_p=[]) def apply(self, instance, p, use_tensor=True): return self.features['job'].change_feature_value(instance, 1, use_tensor) def get_cost(self, instance, new_instance, use_tensor=True): return self.return_cost(instance, new_instance, 5., use_tensor) def precondition(self, instance, use_tensor=True): # Must be unemployeed return cond.op_and( cond.op_and(cond.op_neq(self.features['job'].get_feature_value(instance, use_tensor), 1., use_tensor), cond.op_neq(self.features['job'].get_feature_value(instance, use_tensor), 2., use_tensor), use_tensor), cond.op_neq(self.features['job'].get_feature_value(instance, use_tensor), 3., use_tensor), use_tensor) # Categorical Action class GetGuarantor(Action): def __init__(self, features): super().__init__(name='GetGuarantor', description='Get a guarantor', type='Categoric', num_params=0, features=features, target_features=['other_debtors_guarantors'], init_p=[]) def apply(self, instance, p, use_tensor=True): return self.features['other_debtors_guarantors'].change_feature_value(instance, 2, use_tensor) def get_cost(self, instance, new_instance, use_tensor=True): return self.return_cost(instance, new_instance, 5., use_tensor) def precondition(self, instance, use_tensor=True): return cond.op_neq( self.features['other_debtors_guarantors'].get_feature_value(instance, use_tensor), 2., use_tensor) class ChangeCreditAmount(Action): def __init__(self, features): super().__init__(name='ChangeCreditAmount', description='Changes Requested Loan Amount', type='Numeric', features=features, target_features=['credit_amount'], init_p=[0]) def apply(self, instance, p, use_tensor=True): param = self.get_param(p, use_tensor) return self.features['credit_amount'].change_feature_value(instance, param, use_tensor) def get_cost(self, instance, new_instance, use_tensor=True): new_credit = self.features['credit_amount'].get_feature_value(new_instance, use_tensor, space='x') old_credit = self.features['credit_amount'].get_feature_value(instance, use_tensor, space='x') change = (new_credit - old_credit) / old_credit cost = tf.reduce_sum(tf.square(change)) if use_tensor else np.square(change) return self.return_cost(instance, new_instance, cost, use_tensor) def precondition(self, instance, use_tensor=True): age = self.features['age_in_years'].get_feature_value(instance, use_tensor, space='x') return cond.op_gt(age, 15, use_tensor) def postcondition(self, instance, new_instance, use_tensor=True): new_credit = self.features['credit_amount'].get_feature_value(new_instance, use_tensor, space='x') return cond.op_and(cond.op_gt(new_credit, 0, use_tensor, scale=100000.), cond.op_lt(new_credit, 100000, use_tensor, scale=100000.), use_tensor) class ChangeLoanPeriod(Action): def __init__(self, features): super().__init__(name='ChangeLoanPeriod', description='Changes Loan Period', type='Numeric', features=features, target_features=['loan_duration'], init_p=[0]) def apply(self, instance, p, use_tensor=True): param = self.get_param(p, use_tensor) return self.features['loan_duration'].change_feature_value(instance, param, use_tensor) def get_cost(self, instance, new_instance, use_tensor=True): new_period = self.features['loan_duration'].get_feature_value(new_instance, use_tensor, space='x') old_period = self.features['loan_duration'].get_feature_value(instance, use_tensor, space='x') change = (new_period - old_period) / old_period cost = tf.reduce_sum(tf.square(change)) if use_tensor else np.square(change) return self.return_cost(instance, new_instance, cost, use_tensor) def postcondition(self, instance, new_instance, use_tensor=True): new_period = self.features['loan_duration'].get_feature_value(new_instance, use_tensor, space='x') return cond.op_and(cond.op_gt(new_period, 0, use_tensor, scale=100.), cond.op_lt(new_period, 120, use_tensor, scale=100.), use_tensor) class AdjustLoanPeriod(Action): def __init__(self, features): super().__init__(name='AdjustLoanPeriod', description='Changes Loan Period but keeps total loan / period same', type='Numeric', features=features, target_features=['credit_amount', 'loan_duration'], init_p=[0]) def apply(self, instance, p, use_tensor=True): old_credit_x = self.features['credit_amount'].get_feature_value(instance, use_tensor, space='x') old_period_x = self.features['loan_duration'].get_feature_value(instance, use_tensor, space='x') change_in_credit_z = self.get_param(p, use_tensor) change_in_credit_x = self.features['credit_amount'].ztox(change_in_credit_z, add_mean=False) change_in_period_x = old_period_x * (old_credit_x + change_in_credit_x) / old_credit_x change_in_period_z = self.features['loan_duration'].xtoz(change_in_period_x, add_mean=False) instance = self.features['credit_amount'].change_feature_value(instance, change_in_credit_z, use_tensor) return self.features['loan_duration'].change_feature_value(instance, change_in_period_z, use_tensor) def get_cost(self, instance, new_instance, use_tensor=True): new_credit = self.features['credit_amount'].get_feature_value(new_instance, use_tensor) old_credit = self.features['credit_amount'].get_feature_value(instance, use_tensor) change = (new_credit - old_credit) / old_credit cost = tf.reduce_sum(tf.square(change)) if use_tensor else np.square(change) return self.return_cost(instance, new_instance, cost, use_tensor) def precondition(self, instance, use_tensor=True): old_credit_x = self.features['credit_amount'].get_feature_value(instance, use_tensor, space='x') return cond.op_gt(old_credit_x, 1000, use_tensor, scale=100000.) def postcondition(self, instance, new_instance, use_tensor=True): new_period_x = self.features['loan_duration'].get_feature_value(new_instance, use_tensor, space='x') new_credit_x = self.features['credit_amount'].get_feature_value(new_instance, use_tensor, space='x') return cond.op_and(cond.op_and(cond.op_gt(new_period_x, 0, use_tensor, scale=100.), cond.op_lt(new_period_x, 120, use_tensor, scale=100.), use_tensor), cond.op_and(cond.op_gt(new_credit_x, 0, use_tensor, scale=100000.), cond.op_lt(new_credit_x, 100000, use_tensor, scale=100000.), use_tensor), use_tensor) actions = [ WaitYears, Naturalize, ChangeCreditAmount, ChangeLoanPeriod, AdjustLoanPeriod, GetGuarantor, GetUnskilledJob, ]
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5
4fcd93fe2858e15428cefc08dd1561a7d0968c48
2,114
py
Python
src/pyrin/api/schema/manager.py
wilsonGmn/pyrin
25dbe3ce17e80a43eee7cfc7140b4c268a6948e0
[ "BSD-3-Clause" ]
null
null
null
src/pyrin/api/schema/manager.py
wilsonGmn/pyrin
25dbe3ce17e80a43eee7cfc7140b4c268a6948e0
[ "BSD-3-Clause" ]
null
null
null
src/pyrin/api/schema/manager.py
wilsonGmn/pyrin
25dbe3ce17e80a43eee7cfc7140b4c268a6948e0
[ "BSD-3-Clause" ]
null
null
null
# -*- coding: utf-8 -*- """ schema manager module. """ import pyrin.converters.serializer.services as serializer_services from pyrin.api.schema import SchemaPackage from pyrin.core.structs import Manager class SchemaManager(Manager): """ schema manager class. """ package_class = SchemaPackage def get_computed_entity_columns(self, entity, result_schema=None, **options): """ gets a dict containing all computed columns to be added to the result. if `result_schema` is not provided, it returns an empty dict. note that the result dict should not contain any `BaseEntity` or `ROW_RESULT` values, otherwise a max recursion error may occur. :param BaseEntity entity: the actual entity to be processed. :param ResultSchema result_schema: result schema to be used for computation. :rtype: dict """ if result_schema is None: return {} result = result_schema.get_computed_entity_columns(entity, **options) if result is None: return {} options.update(result_schema=result_schema) result = serializer_services.serialize(result, **options) return result def get_computed_row_columns(self, row, result_schema=None, **options): """ gets a dict containing all computed columns to be added to the result. if `result_schema` is not provided, it returns an empty dict. note that the result dict should not contain any `BaseEntity` or `ROW_RESULT` values, otherwise a max recursion error may occur. :param ROW_RESULT row: the actual row result to be processed. :param ResultSchema result_schema: result schema to be used for computation. :rtype: dict """ if result_schema is None: return {} result = result_schema.get_computed_row_columns(row, **options) if result is None: return {} options.update(result_schema=result_schema) result = serializer_services.serialize(result, **options) return result
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5
4fe774254238dc20abba9ad9fe2e540c5e04f63b
128
py
Python
scriptcore/console/asciimatics/widgets/divider.py
LowieHuyghe/scriptcore
0c9d94b353d4d149db9492eb4ae0aa87cc1e082c
[ "Apache-2.0" ]
null
null
null
scriptcore/console/asciimatics/widgets/divider.py
LowieHuyghe/scriptcore
0c9d94b353d4d149db9492eb4ae0aa87cc1e082c
[ "Apache-2.0" ]
6
2017-02-23T13:22:31.000Z
2018-07-06T04:51:06.000Z
scriptcore/console/asciimatics/widgets/divider.py
LowieHuyghe/scriptcore
0c9d94b353d4d149db9492eb4ae0aa87cc1e082c
[ "Apache-2.0" ]
null
null
null
from __future__ import absolute_import from asciimatics.widgets import Divider as ADivider class Divider(ADivider): pass
16
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0.8125
16
128
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7
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0
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5
4ff75793b340ae2ce10d1b844b88e55c50e19602
138
py
Python
BitManipulation/PowerOfThree.py
PK-100/Competitive_Programming
d0863feaaa99462b2999e85dcf115f7a6c08bb8d
[ "MIT" ]
70
2018-06-25T21:20:15.000Z
2022-03-24T03:55:17.000Z
BitManipulation/PowerOfThree.py
An3sha/Competitive_Programming
ee7eadf51939a360d0b004d787ebabda583e92f0
[ "MIT" ]
4
2018-09-04T13:12:20.000Z
2021-06-20T08:29:12.000Z
BitManipulation/PowerOfThree.py
An3sha/Competitive_Programming
ee7eadf51939a360d0b004d787ebabda583e92f0
[ "MIT" ]
24
2018-12-26T05:15:32.000Z
2022-01-23T23:04:54.000Z
threePow19 = 1162261467 # 3**19 class Solution: def isPowerOfThree(self, n: int) -> bool: return n>0 and not (threePow19 % n)
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5
8c9017a4b03aa970db7b5209c4b8e27ba9fe065d
20,230
py
Python
airavata/model/application/io/ttypes.py
isururanawaka/airavata-django-portal
5be3f3eeb6c42fabd0aca6f92821a5629ac1b3cc
[ "Apache-2.0" ]
null
null
null
airavata/model/application/io/ttypes.py
isururanawaka/airavata-django-portal
5be3f3eeb6c42fabd0aca6f92821a5629ac1b3cc
[ "Apache-2.0" ]
null
null
null
airavata/model/application/io/ttypes.py
isururanawaka/airavata-django-portal
5be3f3eeb6c42fabd0aca6f92821a5629ac1b3cc
[ "Apache-2.0" ]
null
null
null
# # Autogenerated by Thrift Compiler (0.10.0) # # DO NOT EDIT UNLESS YOU ARE SURE THAT YOU KNOW WHAT YOU ARE DOING # # options string: py # from thrift.Thrift import TType, TMessageType, TFrozenDict, TException, TApplicationException from thrift.protocol.TProtocol import TProtocolException import sys import airavata.model.appcatalog.computeresource.ttypes from thrift.transport import TTransport class DataType(object): """ Data Types supported in Airavata. The primitive data types """ STRING = 0 INTEGER = 1 FLOAT = 2 URI = 3 URI_COLLECTION = 4 STDOUT = 5 STDERR = 6 _VALUES_TO_NAMES = { 0: "STRING", 1: "INTEGER", 2: "FLOAT", 3: "URI", 4: "URI_COLLECTION", 5: "STDOUT", 6: "STDERR", } _NAMES_TO_VALUES = { "STRING": 0, "INTEGER": 1, "FLOAT": 2, "URI": 3, "URI_COLLECTION": 4, "STDOUT": 5, "STDERR": 6, } class InputDataObjectType(object): """ Application Inputs. The paramters describe how inputs are passed to the application. name: Name of the parameter. value: Value of the parameter. A default value could be set during registration. type: Data type of the parameter applicationArguement: The argument flag sent to the application. Such as -p pressure. standardInput: When this value is set, the parameter is sent as standard input rather than a parameter. Typically this is passed using redirection operator ">". userFriendlyDescription: Description to be displayed at the user interface. metaData: Any metadat. This is typically ignore by Airavata and is used by gateways for application configuration. Attributes: - name - value - type - applicationArgument - standardInput - userFriendlyDescription - metaData - inputOrder - isRequired - requiredToAddedToCommandLine - dataStaged - storageResourceId - isReadOnly """ thrift_spec = ( None, # 0 (1, TType.STRING, 'name', 'UTF8', None, ), # 1 (2, TType.STRING, 'value', 'UTF8', None, ), # 2 (3, TType.I32, 'type', None, None, ), # 3 (4, TType.STRING, 'applicationArgument', 'UTF8', None, ), # 4 (5, TType.BOOL, 'standardInput', None, None, ), # 5 (6, TType.STRING, 'userFriendlyDescription', 'UTF8', None, ), # 6 (7, TType.STRING, 'metaData', 'UTF8', None, ), # 7 (8, TType.I32, 'inputOrder', None, None, ), # 8 (9, TType.BOOL, 'isRequired', None, None, ), # 9 (10, TType.BOOL, 'requiredToAddedToCommandLine', None, None, ), # 10 (11, TType.BOOL, 'dataStaged', None, None, ), # 11 (12, TType.STRING, 'storageResourceId', 'UTF8', None, ), # 12 (13, TType.BOOL, 'isReadOnly', None, None, ), # 13 ) def __init__(self, name=None, value=None, type=None, applicationArgument=None, standardInput=None, userFriendlyDescription=None, metaData=None, inputOrder=None, isRequired=None, requiredToAddedToCommandLine=None, dataStaged=None, storageResourceId=None, isReadOnly=None,): self.name = name self.value = value self.type = type self.applicationArgument = applicationArgument self.standardInput = standardInput self.userFriendlyDescription = userFriendlyDescription self.metaData = metaData self.inputOrder = inputOrder self.isRequired = isRequired self.requiredToAddedToCommandLine = requiredToAddedToCommandLine self.dataStaged = dataStaged self.storageResourceId = storageResourceId self.isReadOnly = isReadOnly def read(self, iprot): if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None: iprot._fast_decode(self, iprot, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRING: self.name = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString() else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRING: self.value = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString() else: iprot.skip(ftype) elif fid == 3: if ftype == TType.I32: self.type = iprot.readI32() else: iprot.skip(ftype) elif fid == 4: if ftype == TType.STRING: self.applicationArgument = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString() else: iprot.skip(ftype) elif fid == 5: if ftype == TType.BOOL: self.standardInput = iprot.readBool() else: iprot.skip(ftype) elif fid == 6: if ftype == TType.STRING: self.userFriendlyDescription = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString() else: iprot.skip(ftype) elif fid == 7: if ftype == TType.STRING: self.metaData = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString() else: iprot.skip(ftype) elif fid == 8: if ftype == TType.I32: self.inputOrder = iprot.readI32() else: iprot.skip(ftype) elif fid == 9: if ftype == TType.BOOL: self.isRequired = iprot.readBool() else: iprot.skip(ftype) elif fid == 10: if ftype == TType.BOOL: self.requiredToAddedToCommandLine = iprot.readBool() else: iprot.skip(ftype) elif fid == 11: if ftype == TType.BOOL: self.dataStaged = iprot.readBool() else: iprot.skip(ftype) elif fid == 12: if ftype == TType.STRING: self.storageResourceId = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString() else: iprot.skip(ftype) elif fid == 13: if ftype == TType.BOOL: self.isReadOnly = iprot.readBool() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot._fast_encode is not None and self.thrift_spec is not None: oprot.trans.write(oprot._fast_encode(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('InputDataObjectType') if self.name is not None: oprot.writeFieldBegin('name', TType.STRING, 1) oprot.writeString(self.name.encode('utf-8') if sys.version_info[0] == 2 else self.name) oprot.writeFieldEnd() if self.value is not None: oprot.writeFieldBegin('value', TType.STRING, 2) oprot.writeString(self.value.encode('utf-8') if sys.version_info[0] == 2 else self.value) oprot.writeFieldEnd() if self.type is not None: oprot.writeFieldBegin('type', TType.I32, 3) oprot.writeI32(self.type) oprot.writeFieldEnd() if self.applicationArgument is not None: oprot.writeFieldBegin('applicationArgument', TType.STRING, 4) oprot.writeString(self.applicationArgument.encode('utf-8') if sys.version_info[0] == 2 else self.applicationArgument) oprot.writeFieldEnd() if self.standardInput is not None: oprot.writeFieldBegin('standardInput', TType.BOOL, 5) oprot.writeBool(self.standardInput) oprot.writeFieldEnd() if self.userFriendlyDescription is not None: oprot.writeFieldBegin('userFriendlyDescription', TType.STRING, 6) oprot.writeString(self.userFriendlyDescription.encode('utf-8') if sys.version_info[0] == 2 else self.userFriendlyDescription) oprot.writeFieldEnd() if self.metaData is not None: oprot.writeFieldBegin('metaData', TType.STRING, 7) oprot.writeString(self.metaData.encode('utf-8') if sys.version_info[0] == 2 else self.metaData) oprot.writeFieldEnd() if self.inputOrder is not None: oprot.writeFieldBegin('inputOrder', TType.I32, 8) oprot.writeI32(self.inputOrder) oprot.writeFieldEnd() if self.isRequired is not None: oprot.writeFieldBegin('isRequired', TType.BOOL, 9) oprot.writeBool(self.isRequired) oprot.writeFieldEnd() if self.requiredToAddedToCommandLine is not None: oprot.writeFieldBegin('requiredToAddedToCommandLine', TType.BOOL, 10) oprot.writeBool(self.requiredToAddedToCommandLine) oprot.writeFieldEnd() if self.dataStaged is not None: oprot.writeFieldBegin('dataStaged', TType.BOOL, 11) oprot.writeBool(self.dataStaged) oprot.writeFieldEnd() if self.storageResourceId is not None: oprot.writeFieldBegin('storageResourceId', TType.STRING, 12) oprot.writeString(self.storageResourceId.encode('utf-8') if sys.version_info[0] == 2 else self.storageResourceId) oprot.writeFieldEnd() if self.isReadOnly is not None: oprot.writeFieldBegin('isReadOnly', TType.BOOL, 13) oprot.writeBool(self.isReadOnly) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): if self.name is None: raise TProtocolException(message='Required field name is unset!') return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class OutputDataObjectType(object): """ Application Outputs. The paramters describe how outputs generated by the application. name: Name of the parameter. value: Value of the parameter. type: Data type of the parameter applicationArguement: The argument flag sent to the application. Such as -p pressure. standardInput: When this value is set, the parameter is sent as standard input rather than a parameter. Typically this is passed using redirection operator ">". userFriendlyDescription: Description to be displayed at the user interface. metaData: Any metadat. This is typically ignore by Airavata and is used by gateways for application configuration. Attributes: - name - value - type - applicationArgument - isRequired - requiredToAddedToCommandLine - dataMovement - location - searchQuery - outputStreaming - storageResourceId - metaData """ thrift_spec = ( None, # 0 (1, TType.STRING, 'name', 'UTF8', None, ), # 1 (2, TType.STRING, 'value', 'UTF8', None, ), # 2 (3, TType.I32, 'type', None, None, ), # 3 (4, TType.STRING, 'applicationArgument', 'UTF8', None, ), # 4 (5, TType.BOOL, 'isRequired', None, None, ), # 5 (6, TType.BOOL, 'requiredToAddedToCommandLine', None, None, ), # 6 (7, TType.BOOL, 'dataMovement', None, None, ), # 7 (8, TType.STRING, 'location', 'UTF8', None, ), # 8 (9, TType.STRING, 'searchQuery', 'UTF8', None, ), # 9 (10, TType.BOOL, 'outputStreaming', None, None, ), # 10 (11, TType.STRING, 'storageResourceId', 'UTF8', None, ), # 11 (12, TType.STRING, 'metaData', 'UTF8', None, ), # 12 ) def __init__(self, name=None, value=None, type=None, applicationArgument=None, isRequired=None, requiredToAddedToCommandLine=None, dataMovement=None, location=None, searchQuery=None, outputStreaming=None, storageResourceId=None, metaData=None,): self.name = name self.value = value self.type = type self.applicationArgument = applicationArgument self.isRequired = isRequired self.requiredToAddedToCommandLine = requiredToAddedToCommandLine self.dataMovement = dataMovement self.location = location self.searchQuery = searchQuery self.outputStreaming = outputStreaming self.storageResourceId = storageResourceId self.metaData = metaData def read(self, iprot): if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None: iprot._fast_decode(self, iprot, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRING: self.name = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString() else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRING: self.value = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString() else: iprot.skip(ftype) elif fid == 3: if ftype == TType.I32: self.type = iprot.readI32() else: iprot.skip(ftype) elif fid == 4: if ftype == TType.STRING: self.applicationArgument = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString() else: iprot.skip(ftype) elif fid == 5: if ftype == TType.BOOL: self.isRequired = iprot.readBool() else: iprot.skip(ftype) elif fid == 6: if ftype == TType.BOOL: self.requiredToAddedToCommandLine = iprot.readBool() else: iprot.skip(ftype) elif fid == 7: if ftype == TType.BOOL: self.dataMovement = iprot.readBool() else: iprot.skip(ftype) elif fid == 8: if ftype == TType.STRING: self.location = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString() else: iprot.skip(ftype) elif fid == 9: if ftype == TType.STRING: self.searchQuery = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString() else: iprot.skip(ftype) elif fid == 10: if ftype == TType.BOOL: self.outputStreaming = iprot.readBool() else: iprot.skip(ftype) elif fid == 11: if ftype == TType.STRING: self.storageResourceId = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString() else: iprot.skip(ftype) elif fid == 12: if ftype == TType.STRING: self.metaData = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString() else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot._fast_encode is not None and self.thrift_spec is not None: oprot.trans.write(oprot._fast_encode(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('OutputDataObjectType') if self.name is not None: oprot.writeFieldBegin('name', TType.STRING, 1) oprot.writeString(self.name.encode('utf-8') if sys.version_info[0] == 2 else self.name) oprot.writeFieldEnd() if self.value is not None: oprot.writeFieldBegin('value', TType.STRING, 2) oprot.writeString(self.value.encode('utf-8') if sys.version_info[0] == 2 else self.value) oprot.writeFieldEnd() if self.type is not None: oprot.writeFieldBegin('type', TType.I32, 3) oprot.writeI32(self.type) oprot.writeFieldEnd() if self.applicationArgument is not None: oprot.writeFieldBegin('applicationArgument', TType.STRING, 4) oprot.writeString(self.applicationArgument.encode('utf-8') if sys.version_info[0] == 2 else self.applicationArgument) oprot.writeFieldEnd() if self.isRequired is not None: oprot.writeFieldBegin('isRequired', TType.BOOL, 5) oprot.writeBool(self.isRequired) oprot.writeFieldEnd() if self.requiredToAddedToCommandLine is not None: oprot.writeFieldBegin('requiredToAddedToCommandLine', TType.BOOL, 6) oprot.writeBool(self.requiredToAddedToCommandLine) oprot.writeFieldEnd() if self.dataMovement is not None: oprot.writeFieldBegin('dataMovement', TType.BOOL, 7) oprot.writeBool(self.dataMovement) oprot.writeFieldEnd() if self.location is not None: oprot.writeFieldBegin('location', TType.STRING, 8) oprot.writeString(self.location.encode('utf-8') if sys.version_info[0] == 2 else self.location) oprot.writeFieldEnd() if self.searchQuery is not None: oprot.writeFieldBegin('searchQuery', TType.STRING, 9) oprot.writeString(self.searchQuery.encode('utf-8') if sys.version_info[0] == 2 else self.searchQuery) oprot.writeFieldEnd() if self.outputStreaming is not None: oprot.writeFieldBegin('outputStreaming', TType.BOOL, 10) oprot.writeBool(self.outputStreaming) oprot.writeFieldEnd() if self.storageResourceId is not None: oprot.writeFieldBegin('storageResourceId', TType.STRING, 11) oprot.writeString(self.storageResourceId.encode('utf-8') if sys.version_info[0] == 2 else self.storageResourceId) oprot.writeFieldEnd() if self.metaData is not None: oprot.writeFieldBegin('metaData', TType.STRING, 12) oprot.writeString(self.metaData.encode('utf-8') if sys.version_info[0] == 2 else self.metaData) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): if self.name is None: raise TProtocolException(message='Required field name is unset!') return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.items()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other)
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276
0.579881
2,100
20,230
5.511429
0.09619
0.031104
0.025661
0.041991
0.777259
0.711595
0.704942
0.690081
0.674702
0.674702
0
0.019958
0.316411
20,230
498
277
40.62249
0.816979
0.09916
0
0.710526
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0.055983
0.008819
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0.036842
false
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0.013158
0.010526
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0
0
0
5
8cb39f1bba1b86c648fc1db090c2f4c4e9f06277
159
py
Python
emat/model/core_files/__init__.py
tlumip/tmip-emat
55cca13e004a2844bef1f6afd09338852c61e1f1
[ "BSD-3-Clause" ]
null
null
null
emat/model/core_files/__init__.py
tlumip/tmip-emat
55cca13e004a2844bef1f6afd09338852c61e1f1
[ "BSD-3-Clause" ]
null
null
null
emat/model/core_files/__init__.py
tlumip/tmip-emat
55cca13e004a2844bef1f6afd09338852c61e1f1
[ "BSD-3-Clause" ]
null
null
null
from .core_files import FilesCoreModel from .gbnrtc_model import GBNRTCModel from .ODOT_model import ODOTModel from .parsers import TableParser, FileParser
19.875
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0.842767
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159
6.55
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159
7
45
22.714286
0.942446
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true
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1
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5
8cc1700c3dac79faa754808b57c172cb16991b0d
96
py
Python
venv/lib/python3.8/site-packages/setuptools/_vendor/packaging/_manylinux.py
Retraces/UkraineBot
3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71
[ "MIT" ]
2
2022-03-13T01:58:52.000Z
2022-03-31T06:07:54.000Z
venv/lib/python3.8/site-packages/setuptools/_vendor/packaging/_manylinux.py
DesmoSearch/Desmobot
b70b45df3485351f471080deb5c785c4bc5c4beb
[ "MIT" ]
19
2021-11-20T04:09:18.000Z
2022-03-23T15:05:55.000Z
venv/lib/python3.8/site-packages/setuptools/_vendor/packaging/_manylinux.py
DesmoSearch/Desmobot
b70b45df3485351f471080deb5c785c4bc5c4beb
[ "MIT" ]
null
null
null
/home/runner/.cache/pip/pool/5d/c6/e2/5c1faa723bf76dca21a7a37df1332938fe3f8f79be88e03ca6d2b61966
96
96
0.895833
9
96
9.555556
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0.385417
0
96
1
96
96
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null
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1
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0
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0
0
0
0
5
8cdccb8366221aec63076adc2979425ada9d0b78
98
py
Python
__init__.py
jb262/completewasteoftime
1a4d378e5cf077e81ee5e269c451bec5c3ea4926
[ "MIT" ]
6
2019-09-10T04:30:52.000Z
2022-01-08T18:14:32.000Z
__init__.py
jb262/completewasteoftime
1a4d378e5cf077e81ee5e269c451bec5c3ea4926
[ "MIT" ]
null
null
null
__init__.py
jb262/completewasteoftime
1a4d378e5cf077e81ee5e269c451bec5c3ea4926
[ "MIT" ]
null
null
null
from websites.gamefaqs.model import GameFAQs from websites.gamerankings.model import Gamerankings
32.666667
52
0.877551
12
98
7.166667
0.5
0.27907
0
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98
2
53
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5
507c65f8e7d3c0a1f7b6a86dafa1678078c7f263
118
py
Python
openmdao.test/src/openmdao/test/__init__.py
mjfwest/OpenMDAO-Framework
a5521f47ad7686c25b203de74e1c7dff5fd7a52b
[ "Apache-2.0" ]
69
2015-01-02T19:10:08.000Z
2021-11-14T04:42:28.000Z
openmdao.test/src/openmdao/test/__init__.py
jcchin/OpenMDAO-Framework
038e89b06da1c74f00918f4c6fbd8bd365e25657
[ "Apache-2.0" ]
3
2015-01-15T23:08:18.000Z
2015-03-11T16:57:35.000Z
openmdao.test/src/openmdao/test/__init__.py
jcchin/OpenMDAO-Framework
038e89b06da1c74f00918f4c6fbd8bd365e25657
[ "Apache-2.0" ]
31
2015-09-16T00:37:35.000Z
2022-01-10T06:27:55.000Z
""" This package contains classes and modules that are used to test openmdao. """ from releaseinfo import __version__
23.6
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4
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5
509754ccc3a17ae7ab1d8dc021ff2f1df1c0f606
3,673
py
Python
src/super_gradients/common/decorators/deci_logger.py
Deci-AI/super-gradients
658f638389654668a085e23c3b19622241fd9267
[ "Apache-2.0" ]
308
2021-12-30T10:14:30.000Z
2022-03-30T19:05:31.000Z
src/super_gradients/common/decorators/deci_logger.py
karndeepsingh/super-gradients
bfed440ecaf485af183570bf965eb5b74cb9f832
[ "Apache-2.0" ]
24
2022-01-10T08:05:37.000Z
2022-03-30T18:49:06.000Z
src/super_gradients/common/decorators/deci_logger.py
karndeepsingh/super-gradients
bfed440ecaf485af183570bf965eb5b74cb9f832
[ "Apache-2.0" ]
26
2021-12-31T06:04:07.000Z
2022-03-21T09:51:44.000Z
def deci_func_logger(_func=None, *, name: str = 'abstract_decorator'): """ This decorator is used to wrap our functions with logs. It will log every enter and exit of the functon with the equivalent parameters as extras. It will also log exceptions that raises in the function. It will also log the exception time of the function. How it works:` First it will check if the decorator called with name keyword. If so it will return a new decorator that its logger is the name parameter. If not it will return a new decorator that its logger is the wrapped function name. Then the return decorator will return a new function that warps the original function with the new logs. For further understanding advise real-python "fancy decorators documentation" Args: _func (): used when called without name specify. dont pass it directly name (): The name of the logger to save logs by. Returns: a decorator that wraps function with logs logic. """ # TODO: Not Working - Breaks the code, tests does not pass (s3 connector, platform...) # TODO: Fix problem with ExplicitParamValidation error (arguments not passed) # TODO: Run ALL test suite of deci2 (NOT circieCI test suite, but ALL the tests under tests folders) # TODO: Delete/Update all failing tests. # def deci_logger_decorator(fn): # # @functools.wraps(fn) # def wrapper_func(*args, **kwargs): # try: # # try: # logger.debug(f"Start: {fn.__name__}", extra={"args": args, "kwargs": kwargs}) # time1 = time.perf_counter() # except Exception: # # failed to write log - continue. # pass # # result = fn(*args, **kwargs) # # try: # time2 = time.perf_counter() # logger.debug(f"End: {fn.__name__}", # extra={'duration': (time2 - time1) * 1000.0, 'return_value': result}) # except Exception: # # failed to write log - continue. # pass # # return result # # except Exception as ex: # # This exception was raised from inside the function call # logger.error(f"Exception: {ex}", exc_info=ex) # raise ex # # return wrapper_func # if _func is None: # logger = get_logger(name) # return deci_logger_decorator # else: # logger = get_logger(_func.__name__) # return deci_logger_decorator(_func) return _func def deci_class_logger(): """ This decorator wraps every class method with deci_func_logger decorator. It works by checking if class method is callable and if so it will set a new decorated method as the same method name. """ def wrapper(cls): # TODO: Not Working - Breaks the code, tests does not pass (s3 connector, platform...) # TODO: Fix problem with ExplicitParamValidation error (arguments not passed) # TODO: Run ALL test suite of deci2 (NOT circieCI test suite, but ALL the tests under tests folders) # TODO: Delete/Update all failing tests. # for attr in cls.__dict__: # if callable(getattr(cls, attr)) and attr != '__init__': # decorated_function = deci_func_logger(name=cls.__name__)(getattr(cls, attr)) # if type(cls.__dict__[attr]) is staticmethod: # decorated_function = staticmethod(decorated_function) # setattr(cls, attr, decorated_function) return cls return wrapper
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50acd8893553538047b26e74753839f1be2c53fb
131
py
Python
abacusai/__init__.py
Ankit-RealityEngines/api-python
3627048d31df5972c5777de2a1c1211ea06a8804
[ "MIT" ]
null
null
null
abacusai/__init__.py
Ankit-RealityEngines/api-python
3627048d31df5972c5777de2a1c1211ea06a8804
[ "MIT" ]
null
null
null
abacusai/__init__.py
Ankit-RealityEngines/api-python
3627048d31df5972c5777de2a1c1211ea06a8804
[ "MIT" ]
null
null
null
from .client import ApiClient, ApiException, ClientOptions from .prediction_client import PredictionClient __version__ = "0.32.4"
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0fa2905d652a2bd480bcb6b8c90043b98870a186
270
py
Python
pyxplr/__init__.py
UBC-MDS/pyxplr
7e0d94316bce7b3ed343a6a6b5c3afce5c71afd8
[ "MIT" ]
1
2020-02-25T23:47:18.000Z
2020-02-25T23:47:18.000Z
pyxplr/__init__.py
UBC-MDS/pyxplr
7e0d94316bce7b3ed343a6a6b5c3afce5c71afd8
[ "MIT" ]
46
2020-02-25T23:43:52.000Z
2020-03-27T01:24:24.000Z
pyxplr/__init__.py
UBC-MDS/pyxplr
7e0d94316bce7b3ed343a6a6b5c3afce5c71afd8
[ "MIT" ]
null
null
null
__version__ = '0.4.14' from pyxplr.explore_feature_map import explore_feature_map # noqa from pyxplr.explore_missing import explore_missing # noqa from pyxplr.explore_summary import explore_summary # noqa from pyxplr.explore_outliers import explore_outliers # noqa
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0fad4468028c1e18cdfa6ec12c739c61bccd22ad
3,755
py
Python
library/source1/bsp/lumps/vertex_lump.py
BlenderAddonsArchive/SourceIO
7e29de15e7b9a3db538bcdf805547d1781fce3c9
[ "MIT" ]
199
2019-04-02T02:30:58.000Z
2022-03-30T21:29:49.000Z
source1/bsp/lumps/vertex_lump.py
syborg64/SourceIO
e4ba86d801f518e192260af08ef533759c2e1cc3
[ "MIT" ]
113
2019-03-03T19:36:25.000Z
2022-03-31T19:44:05.000Z
source1/bsp/lumps/vertex_lump.py
syborg64/SourceIO
e4ba86d801f518e192260af08ef533759c2e1cc3
[ "MIT" ]
38
2019-05-15T16:49:30.000Z
2022-03-22T03:40:43.000Z
import numpy as np from .. import Lump, lump_tag @lump_tag(3, 'LUMP_VERTICES') class VertexLump(Lump): def __init__(self, bsp, lump_id): super().__init__(bsp, lump_id) self.vertices = np.array([]) def parse(self): reader = self.reader self.vertices = np.frombuffer(reader.read(), np.float32) self.vertices = self.vertices.reshape((-1, 3)) return self @lump_tag(0x47, 'LUMP_UNLITVERTEX', bsp_version=29) class UnLitVertexLump(Lump): _dtype = np.dtype( [ ('vpi', np.uint32, (1,)), ('vni', np.uint32, (1,)), ('uv', np.float32, (2,)), ('unk', np.int32, (1,)), ] ) def __init__(self, bsp, lump_id): super().__init__(bsp, lump_id) self.vertex_info = np.array([]) def parse(self): reader = self.reader self.vertex_info = np.frombuffer(reader.read(), self._dtype) return self @lump_tag(0x49, 'LUMP_BUMPLITVERTEX', bsp_version=29) class BumpLitVertexLump(Lump): _dtype = np.dtype( [ ('vpi', np.uint32, (1,)), ('vni', np.uint32, (1,)), ('uv', np.float32, (2,)), ('unk1', np.int32, (1,)), ('uv_lm', np.float32, (2,)), ('uv1', np.float32, (2,)), ('unk2', np.uint32, (2,)), ] ) def __init__(self, bsp, lump_id): super().__init__(bsp, lump_id) self.vertex_info = np.array([]) def parse(self): reader = self.reader self.vertex_info = np.frombuffer(reader.read(), self._dtype) return self @lump_tag(0x4a, 'LUMP_UNLITTSVERTEX', bsp_version=29) class UnlitTSVertexLump(Lump): _dtype = np.dtype( [ ('vpi', np.uint32, (3,)), ('vni', np.uint32, (1,)), ('uv', np.float32, (2,)), ] ) def __init__(self, bsp, lump_id): super().__init__(bsp, lump_id) self.vertex_info = np.array([]) def parse(self): reader = self.reader self.vertex_info = np.frombuffer(reader.read(), self._dtype) return self @lump_tag(0x4B, 'LUMP_BLINNPHONGVERTEX', bsp_version=29) class BlinnPhongVertexLump(Lump): _dtype = np.dtype( [ ('vpi', np.uint32, (3,)), ('vni', np.uint32, (1,)), ('unk', np.uint32, (2,)), ] ) def __init__(self, bsp, lump_id): super().__init__(bsp, lump_id) self.vertex_info = np.array([]) def parse(self): reader = self.reader self.vertex_info = np.frombuffer(reader.read(), self._dtype) return self @lump_tag(0x4C, 'LUMP_R5VERTEX', bsp_version=29) class R5VertexLump(Lump): _dtype = np.dtype( [ ('vpi', np.uint32, (3,)), ('vni', np.uint32, (1,)), ('unk', np.uint32, (2,)), ('uv', np.float32, (2,)), ('uv_lm', np.float32, (2,)), ] ) def __init__(self, bsp, lump_id): super().__init__(bsp, lump_id) self.vertex_info = np.array([]) def parse(self): reader = self.reader self.vertex_info = np.frombuffer(reader.read(), self._dtype) return self @lump_tag(0x4E, 'LUMP_R7VERTEX', bsp_version=29) class R7VertexLump(Lump): _dtype = np.dtype( [ ('vpi', np.uint32, (3,)), ('vni', np.uint32, (1,)), ('uv', np.float32, (2,)), ('neg_one', np.int32, (1,)), ] ) def __init__(self, bsp, lump_id): super().__init__(bsp, lump_id) self.vertex_info = np.array([]) def parse(self): reader = self.reader self.vertex_info = np.frombuffer(reader.read(), self._dtype) return self
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5
0fbfa59d802bd263b050e5e86e46429a7a1996cc
173
py
Python
py_moysklad/entities/discounts/discount.py
upmarket-cc/py_moysklad
e026e611344c38f8a8d4f428781fcfb315aaaa60
[ "MIT" ]
null
null
null
py_moysklad/entities/discounts/discount.py
upmarket-cc/py_moysklad
e026e611344c38f8a8d4f428781fcfb315aaaa60
[ "MIT" ]
null
null
null
py_moysklad/entities/discounts/discount.py
upmarket-cc/py_moysklad
e026e611344c38f8a8d4f428781fcfb315aaaa60
[ "MIT" ]
null
null
null
from typing import List from py_moysklad.entities.meta_entity import MetaEntity class Discount(MetaEntity): active: bool allAgents: bool agentTags: List[str]
17.3
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5
ba0a883f8c09146d1f43c4ad8326192598b99b22
67
py
Python
Random-Programs/util/clear_screen.py
naumoff0/Archive
d4ad2da89abb1576dd5a7c72ded6bf9b45c3f610
[ "MIT" ]
null
null
null
Random-Programs/util/clear_screen.py
naumoff0/Archive
d4ad2da89abb1576dd5a7c72ded6bf9b45c3f610
[ "MIT" ]
null
null
null
Random-Programs/util/clear_screen.py
naumoff0/Archive
d4ad2da89abb1576dd5a7c72ded6bf9b45c3f610
[ "MIT" ]
null
null
null
def clearScreen(): # emulate ctrl l print(chr(27) + "[2J")
22.333333
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0.567164
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5
ba1810aa58e236475f11af4d18af23439b5653cd
19
py
Python
cloudmesh/openapi/__version__.py
cloudmesh/cloudmesh.openapi
c866c4cbdad3adfdf3fe31591906ced8d71352ef
[ "Apache-2.0" ]
7
2020-02-29T14:53:19.000Z
2021-01-17T17:08:44.000Z
cloudmesh/openapi/__version__.py
cloudmesh/cloudmesh.openapi
c866c4cbdad3adfdf3fe31591906ced8d71352ef
[ "Apache-2.0" ]
27
2020-02-29T13:38:11.000Z
2020-09-02T20:24:59.000Z
cloudmesh/openapi/__version__.py
cloudmesh/cloudmesh.openapi
c866c4cbdad3adfdf3fe31591906ced8d71352ef
[ "Apache-2.0" ]
6
2020-03-02T17:09:14.000Z
2020-10-30T22:48:01.000Z
version = "4.0.20"
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5
ba1c444e0c5137f845b4ebb0795039e9e77228c2
3,916
py
Python
poker/poker_env/betsizes.py
MorGriffiths/PokerAI
a68400f4918f10dde82574ad19654243c9a65024
[ "MIT" ]
2
2020-05-24T12:21:36.000Z
2022-02-08T03:02:17.000Z
poker/poker_env/betsizes.py
MorGriffiths/PokerAI
a68400f4918f10dde82574ad19654243c9a65024
[ "MIT" ]
3
2017-04-28T00:25:18.000Z
2018-03-18T20:51:20.000Z
poker/poker_env/betsizes.py
C5ipo7i/PokerAI
a68400f4918f10dde82574ad19654243c9a65024
[ "MIT" ]
2
2020-11-05T11:57:04.000Z
2021-03-17T17:57:24.000Z
import poker_env.datatypes as pdt class Betsizes(): LIMIT_MAP = { pdt.LimitTypes.NO_LIMIT: return_nolimit_betsize, pdt.LimitTypes.POT_LIMIT: return_potlimit_betsize, pdt.LimitTypes.LIMIT: return_limit_betsize } def __init__(self,limit): self.return_betsize = self.LIMIT_MAP[limit] @staticmethod def return_limit_betsize(env,action,betsize_category): """TODO Betsizes should be indexed by street""" if action == pdt.Globals.REVERSE_ACTION_ORDER[pdt.Actions.CALL]: # Call betsize = min(env.players[env.current_player].stack,env.players[env.last_aggressor.key].street_total - env.players[env.current_player].street_total) elif action == pdt.Globals.REVERSE_ACTION_ORDER[pdt.Actions.BET]: # Bet betsize = min(1,env.players[env.current_player].stack) elif action == pdt.Globals.REVERSE_ACTION_ORDER[pdt.Actions.RAISE]: # Raise can be more than 2 with multiple people betsize = min(env.players[env.last_aggressor.key].street_total+1,env.players[env.current_player].stack) - env.players[env.current_player].street_total else: # fold or check betsize = 0 return betsize ## NO LIMIT ## def return_nolimit_betsize(self,action,betsize_category): """ TODO Betsize_category would make the most sense if it represented percentages of pot on the first portion. And percentages of stack or simply an allin option as the last action. """ if action == pdt.Globals.REVERSE_ACTION_ORDER[pdt.Actions.CALL]: betsize = min(self.players[self.last_aggressor.key].street_total - self.players[self.current_index.key].street_total,self.players[self.current_player].stack) elif action == pdt.Globals.REVERSE_ACTION_ORDER[pdt.Actions.BET]: # Bet betsize_value = self.betsizes[betsize_category] * self.pot betsize = min(max(1,betsize_value),self.players[self.current_player].stack) elif action == pdt.Globals.REVERSE_ACTION_ORDER[pdt.Actions.RAISE]: # Raise max_raise = (2 * self.players[self.last_aggressor.key].street_total) + (self.pot - self.players[self.current_index.key].street_total) betsize_value = self.betsizes[betsize_category] * max_raise previous_bet = self.players[self.last_aggressor.key].street_total - self.players[self.current_index.key].street_total betsize = min(max(previous_bet * 2,betsize_value),self.players[self.current_player].stack) else: betsize = 0 return betsize ## POT LIMIT def return_potlimit_betsize(self,action,betsize_category): """TODO Betsize_category in POTLIMIT is a float [0,1] representing fraction of pot""" if action == pdt.Globals.REVERSE_ACTION_ORDER[pdt.Actions.CALL]: betsize = min(self.players[self.last_aggressor.key].street_total - self.players[self.current_index.key].street_total,self.players[self.current_player].stack) elif action == pdt.Globals.REVERSE_ACTION_ORDER[pdt.Actions.BET]: # Bet betsize_value = self.betsizes[betsize_category] * self.pot betsize = min(max(1,betsize_value),self.players[self.current_player].stack) elif action == pdt.Globals.REVERSE_ACTION_ORDER[pdt.Actions.RAISE]: # Raise max_raise = (2 * self.players[self.last_aggressor.key].street_total) + (self.pot - self.players[self.current_index.key].street_total) betsize_value = (self.betsizes[betsize_category] * max_raise) - self.players[self.current_index.key].street_total previous_bet = self.players[self.last_aggressor.key].street_total - self.players[self.current_index.key].street_total betsize = min(max(previous_bet * 2,betsize_value),self.players[self.current_player].stack) else: betsize = 0 return betsize
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0
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5
2cef32b9bc05fe8f3cb58de2df2c323820cc2856
103
py
Python
pyexplain/attach/links/admin.py
LucasMagnum/pyexplain
ca7a91df8519f576c21d5ede4b4f779fabfd5cbe
[ "MIT" ]
6
2018-03-20T19:50:47.000Z
2021-11-21T12:59:01.000Z
pyexplain/attach/links/admin.py
LucasMagnum/pyexplain
ca7a91df8519f576c21d5ede4b4f779fabfd5cbe
[ "MIT" ]
1
2015-10-30T22:01:28.000Z
2015-11-03T23:07:52.000Z
pyexplain/attach/links/admin.py
LucasMagnum/pyexplain
ca7a91df8519f576c21d5ede4b4f779fabfd5cbe
[ "MIT" ]
1
2015-12-18T12:53:59.000Z
2015-12-18T12:53:59.000Z
# coding: utf-8 from django.contrib import admin from .models import Link admin.site.register(Link)
12.875
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5
2cf762680f07e4c1c3663e742528c1fc4c0666f3
195
py
Python
study/w3resource/exercises/python-basic/001 - 030/python-basic - 024.py
gustavomarquezinho/python
e36779aa5c4bfaf88c587f05db5bd447fd41e4a2
[ "MIT" ]
null
null
null
study/w3resource/exercises/python-basic/001 - 030/python-basic - 024.py
gustavomarquezinho/python
e36779aa5c4bfaf88c587f05db5bd447fd41e4a2
[ "MIT" ]
null
null
null
study/w3resource/exercises/python-basic/001 - 030/python-basic - 024.py
gustavomarquezinho/python
e36779aa5c4bfaf88c587f05db5bd447fd41e4a2
[ "MIT" ]
null
null
null
# 024 - Write a Python program to test whether a passed letter is a vowel or not. def vowelLetter(pLetter): return pLetter.upper() in 'AEIOU' print(vowelLetter('A')) print(vowelLetter('B'))
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0.158974
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5
fa00fc7d1639244400abb47ad56b197bfeb824fa
111
py
Python
python-lib/config/__init__.py
dataiku/dss-plugin-nlp-analysis
ff9dce56500dc8f28f83158afbdf7db01074ee38
[ "Apache-2.0" ]
1
2021-03-12T10:45:53.000Z
2021-03-12T10:45:53.000Z
python-lib/config/__init__.py
dataiku/dss-plugin-nlp-analysis
ff9dce56500dc8f28f83158afbdf7db01074ee38
[ "Apache-2.0" ]
22
2021-03-01T18:49:54.000Z
2021-06-08T15:16:30.000Z
python-lib/config/__init__.py
dataiku/dss-plugin-nlp-analysis
ff9dce56500dc8f28f83158afbdf7db01074ee38
[ "Apache-2.0" ]
1
2021-02-22T15:19:43.000Z
2021-02-22T15:19:43.000Z
from .custom_check import CustomCheck from .dku_config import DkuConfig from .dss_parameter import DSSParameter
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fa329c14dcf078f8e9d094af4d2d65b3ce83883e
209
py
Python
venv/lib/python3.7/site-packages/allauth/socialaccount/providers/vimeo_oauth2/urls.py
vikram0207/django-rest
eafec575999dce6859dc7b99177cff339b2bcbdd
[ "MIT" ]
6,342
2015-01-01T07:40:30.000Z
2022-03-31T04:18:30.000Z
venv/lib/python3.7/site-packages/allauth/socialaccount/providers/vimeo_oauth2/urls.py
vikram0207/django-rest
eafec575999dce6859dc7b99177cff339b2bcbdd
[ "MIT" ]
2,198
2015-01-02T15:17:45.000Z
2022-03-28T10:20:43.000Z
venv/lib/python3.7/site-packages/allauth/socialaccount/providers/vimeo_oauth2/urls.py
vikram0207/django-rest
eafec575999dce6859dc7b99177cff339b2bcbdd
[ "MIT" ]
2,928
2015-01-01T10:44:13.000Z
2022-03-31T03:20:16.000Z
"""URLs for Patreon Provider""" from allauth.socialaccount.providers.oauth2.urls import default_urlpatterns from .provider import VimeoOAuth2Provider urlpatterns = default_urlpatterns(VimeoOAuth2Provider)
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fa6f63f59a80ec1c268d5dedb22afe0021d126ae
83,183
py
Python
aula05_estruturas_condicionais(Gabriel).py
Glightman/estruturas-condicionais
c90958ee04797a65af58c6dcb08cc04e25b7801d
[ "MIT" ]
null
null
null
aula05_estruturas_condicionais(Gabriel).py
Glightman/estruturas-condicionais
c90958ee04797a65af58c6dcb08cc04e25b7801d
[ "MIT" ]
null
null
null
aula05_estruturas_condicionais(Gabriel).py
Glightman/estruturas-condicionais
c90958ee04797a65af58c6dcb08cc04e25b7801d
[ "MIT" ]
null
null
null
#!/usr/bin/env python # coding: utf-8 # # **Estruturas de controle condicionais** # # > São estruturas para controlar o fluxo do programa # # Vamos utilizar os famosos SE e SENÃO. # # Em Python a estrutura é bem simples, comparado a outras linguagens, mas antes considere esse fluxograma: # # 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) # # **Vamos transcrever ele em Python** # In[ ]: # SE em Python é if # SENÃO em Python é else n1 = float(input('Digite a primeira nota: ')) n2 = float(input('Digite a segunda nota: ')) media = (n1 + n2) / 2 if media >= 6: #Retornar True ou False print(f'Aluno aprovado com a média: {media}') else: print(f'Aluno reprovado com a média: {media}') print('Fim do programa!') # # **Exercícios** # ## Exercício 01 # # Faça um programa que pergunte ao usuário um número e valide se o numero é par ou impar: # # * Crie uma variável para receber o valor, com conversão para int # * Para um número ser par, a divisão dele por 2 tem que dar resto 0 # In[ ]: # Resposta numero = int(input('Digite o numero: ')) if numero % 2 == 0: print('Numero par') else: print('Numero impar') # ## Exercício 02 # # > Parte 1 # # Faça um script que peça um valor e mostre na tela se o valor é positivo ou negativo. # # > Parte 2 # # Agora implemente a funcionalidade de não aceitar o número 0, no input. # In[ ]: # Resposta Parte 1 valor = int(input('Valor: ')) if valor > 0: print('Valor positivo') else: print('Valor negativo') # In[ ]: # Resposta Parte 2 valor = int(input('Digite o valor: ')) if valor == 0: print('Número inválido!') else: if valor > 0: print('Numero positivo') else: print('Numero negativo') print('Programa finalizado!') # # **IF aninhado** # # Nesse último exercício a gente precisou utilizar dois if e else para resolver nosso problema, isso se chama If aninhado, vamos continuar treinando esse tipo de if com os exercícios abaixo: # # **Exercícios** # ## Exercício 03 # # Faça um programa que peça dois números, imprima o maior deles ou imprima "Numeros iguais" se os números forem iguais. # In[ ]: num1 = int(input('Digite o primeiro numero: ')) num2 = int(input('Digite o segundo numero: ')) if num1 > num2: print(f'O numero {num1} é o maior') else: if num1 == num2: print("Os numeros são iguais!") else: print(f'O numero {num2} é o maior') # ## Exercício 04 # # Crie um programa que verifique se uma letra digitada é "F" ou "M". Conforme a letra escrever: F - Feminino, M - Masculino, caso escreva outra letra: Sexo Inválido. # # In[ ]: resposta = input('Digite M ou F: ').upper() if resposta == 'M': print('Masculino') else: if resposta == 'F': print('Feminino') else: print('Você não digitou as letras correta!') # # **ELIF** # # > O If serve para verificar uma condição e o elif serve para verificar outra condição caso a condição do If seja falsa. No código não há muita diferença, o elif vai garantir que aquela condição seja verificada caso o If seja falso, diferente dos dois If que são 'fluxos' independentes. # # Vamos refazer o exemplo da média adicionando a condição de "Aluno em recuperação" # In[ ]: n1 = float(input('Digite a primeira nota: ')) n2 = float(input('Digite a segunda nota: ')) media = (n1 + n2) / 2 if media >= 6: print(f'Aluno aprovado com a média {media}') elif media >= 4 and media < 6: print(f'Aluno está de recuperação com a média {media}') else: print(f'Aluno reprovado com a média {media}') # # **Exercícios** # ## Exercício 05 # # Crie um programa em Python que peça a nota do aluno, que deve ser um float entre 0.00 e 10.0 # # * Se a nota for menor que 6.0, deve exibir a nota F. # # * Se a nota for de 6.0 até 7.0, deve exibir a nota D. # # * Se a nota for entre 7.0 e 8.0, deve exibir a nota C. # # * Se a nota for entre 8.0 e 9.0, deve exibir a nota B. # # * Por fim, se for entre 9.0 e 10.0, deve exibir um belo de um A. # In[ ]: nota = float(input('Qual a nota [0.0 - 10.00]: ')) if nota >= 0 and nota <= 10: if nota < 6: print('Nota F') elif nota < 7: print('Nota D') elif nota < 8: print('Nota C') elif nota < 9: print('Nota B') else: print('Nota A') else: print('Nota inválida!') # # *Projetos* # ## **PROJETO 01** # # * Escreva um programa que receba uma string digitada pelo usuário; # * Caso a string seja "medieval", exiba no console "espada"; # * Caso contrário, se a string for "futurista", exiba no console "sabre de luz"; # * Caso contrário, exiba no console "Tente novamente" # In[ ]: # Resposta: arma = input('Que tipo de arma vc quer usar? Medieval ou Futurista?').upper() if arma == ('MEDIEVAL'): print ('Você usará uma ESPADA como arma. BOA SORTE!') else: if arma == ('FUTURISTA'): print ('Você usará um SABRE DE LUZ como arma. BOA SORTE!') else: print('Você digitou uma opção inválida :[. TENTE DE NOVO!') # ## **PROJETO 02** # # * Escreva um programa que receba um ataque de espada ou sabre digitada pelo usuário; # # * Caso o ataque seja "espada", exiba no console "VOCÊ AINDA NÃO MATOU O CHEFÃO"; # # * Caso contrário, se o ataque for "sabre", exiba no console "VOCÊ DERROTOU O CHEFÃO COM O SABRE DE LUZ"; # # * Caso contrário, exiba no console "ATAQUE NOVAMENTE" # In[ ]: # Resposta: arma = input('Qual arma vc quer usar? Espada ou Sabre de Luz?').upper() if arma == ('ESPADA'): print ('VOCÊ AINDA NÃO MATOU O CHEFÃO :[') else: if arma == ('SABRE DE LUZ'): print ('VOCÊ DERROTOU O CHEFÃO COM O SABRE DE LUZ') else: print('ATAQUE NOVAMENTE') # ## **PROJETO 03 - DESAFIO** # # As empresas @.com resolveram dar um aumento de salário aos seus colaboradores e lhe contrataram para desenvolver o programa que calculará os reajustes. # # Faça um programa que recebe o salário de um colaborador e o reajuste segundo o seguinte critério, baseado no salário atual: # * salários até R$ 280,00 (incluindo) : aumento de 20% # # * salários entre R\$ 280,00 e R$ 700,00 : aumento de 15% # # * salários entre R\$ 700,00 e R$ 1500,00 : aumento de 10% # # * salários de R$ 1500,00 em diante : aumento de 5% # # Após o aumento ser realizado, informe na tela: # * o salário antes do reajuste; # # * o percentual de aumento aplicado; # # * o valor do aumento; # # * o novo salário, após o aumento." # In[11]: # Resposta: salário = float(input('Digite o valor do seu salário:')) if salário <= 280: percent1 = 20/100 cal1 = salário*percent1 n1 = salário+cal1 print(f'Seu salário antes do reajuste é: R${salário}') print('o percentual de aumento aplicado foi de 20%') print(f'o valor do aumento foi de: R${cal1}') print(f'o novo salário, após o aumento será de: R${n1}') else: if salário > 280 and salário <= 700: percent2 = 15/100 cal2 = salário*percent2 n2 = salário+cal2 print(f'Seu salário antes do reajuste é: R${salário}') print('o percentual de aumento aplicado foi de 15%') print(f'o valor do aumento foi de: R${cal2}') print(f'o novo salário, após o aumento será de: R${n2}') else: if salário > 700 and salário <= 1500: percent3 = 10/100 cal3 = salário*percent3 n3 = salário+cal3 print(f'Seu salário antes do reajuste é: R${salário}') print('o percentual de aumento aplicado foi de 10%') print(f'o valor do aumento foi de: R${cal3}') print(f'o novo salário, após o aumento será de: R${n3}') else: if salário > 1500: percent4 = 5/100 cal4 = salário*percent4 n4 = salário+cal4 print(f'Seu salário antes do reajuste é: R${salário}') print('o percentual de aumento aplicado foi de 5%') print(f'o valor do aumento foi de: R${cal4}') print(f'o novo salário, após o aumento será de: R${n4}') # ## **PROJETO 04 - DESAFIO** # # Faça um Programa para um caixa eletrônico. O programa deverá perguntar ao usuário a valor do saque e depois informar quantas notas de cada valor serão fornecidas. As notas disponíveis serão as de 1, 5, 10, 50 e 100 reais. O valor mínimo é de 10 reais e o máximo de 600 reais. O programa não deve se preocupar com a quantidade de notas existentes na máquina. # # * Exemplo 1: Para sacar a quantia de 256 reais, o programa fornece duas notas de 100, uma nota de 50, uma nota de 5 e uma nota de 1; # # * Exemplo 2: Para sacar a quantia de 399 reais, o programa fornece três notas de 100, uma nota de 50, quatro notas de 10, uma nota de 5 e quatro notas de 1. # In[9]: #ORIGINAL print('As notas disponíveis são: 1, 5, 10, 50 e 100') print('Valor minimo: R$ 10. Valor máximo: R$ 600.') valor = int(input('Valor do saque: R$ ')) if valor == 600: print('6 notas de R$ 100') elif valor < 600 and valor >= 100: cal1 = valor//100 resto1 = valor%100 if resto1 == 0: print(f'{cal1} nota(s) de R$ 100') else: cal2 = resto1//50 resto2 = resto1%50 if resto2 == 0: print(f'{cal1} nota(s) de R$ 100') print(f'{cal2} nota(s) de R$ 50') else: cal3 = resto2//10 resto3 = resto2%10 if resto3 == 0: print(f'{cal1} nota(s) de R$ 100') if cal2 >0: print(f'{cal2} nota(s) de R$ 50') print(f'{cal3} nota(s) de R$ 10') else: cal4 = resto3//5 resto4 = resto3%5 if resto4 == 0: print(f'{cal1} nota(s) de R$ 100') print(f'{cal2} nota(s) de R$ 50') print(f'{cal3} nota(s) de R$ 10') print(f'{cal4} nota(s) de R$ 5') else: cal5 = resto4//1 resto5 = resto4%1 if resto5 == 0: print(f'{cal1} nota(s) de R$ 100') if cal2>0: print(f'{cal2} nota(s) de R$ 50') if cal3 >0: print(f'{cal3} nota(s) de R$ 10') if cal4 >0: print(f'{cal4} nota(s) de R$ 5') if cal5>0: print(f'{cal5} nota(s) de R$ 1') elif valor < 100 and valor >= 50: cal1 = valor//50 resto1 = valor%50 if resto1 == 0: print(f'{cal1} nota(s) de 50 R$') else: cal2 = resto1//10 resto2 = resto1%10 if resto2 == 0: print(f'{cal1} nota(s) de R$ 50') print(f'{cal2} nota(s) de R$ 10') else: cal3 = resto2//5 resto3 = resto2%5 if resto3 == 0: print(f'{cal1} nota(s) de R$ 50') print(f'{cal2} nota(s) de R$ 10') print(f'{cal3} nota(s) de R$ 5') else: cal4 = resto3//1 resto4 = resto3%1 if resto4 == 0: print(f'{cal1} nota(s) de R$ 50') if cal2 >0: print(f'{cal2} nota(s) de R$ 10') if cal3 >0: print(f'{cal3} nota(s) de R$ 5') if cal4>0: print(f'{cal4} nota(s) de R$ 1') elif valor <50 and valor >= 10: cal1 = valor//10 resto1 = valor%10 if resto1 == 0: print(f'{cal1} nota(s) de R$ 10') else: cal2 = resto1//5 resto2 = resto1%5 if resto2 == 0: print(f'{cal1} nota(s) de R$ 10') print(f'{cal2} nota(s) de R$ 5') else: cal3 = resto2//1 resto3 = resto2%1 if resto3 == 0: print(f'{cal1} nota(s) de R$ 10') if cal2 >0: print(f'{cal2} nota(s) de R$ 5') if cal3 >0: print(f'{cal3} nota(s) de R$ 1') elif valor <10 and valor >=5: cal1 = valor//5 resto1 = valor%5 if resto1 == 0: print(f'{cal1} nota(s) de R$ 5') else: cal2 = resto1//1 resto2 = resto1%1 if resto2 == 0: print(f'{cal1} nota(s) de R$ 5') print(f'{cal2} nota(s) de R$ 1') # In[ ]:
189.482916
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d7077d0304168b676f15ed5545300f9a46769448
78
py
Python
xbout/tests/test_init.py
BuildJet/xBOUT
523a78c8fa62cc390cfb9e434fc152c51ba9db7c
[ "Apache-2.0" ]
15
2018-12-08T15:57:58.000Z
2022-03-22T11:40:25.000Z
xbout/tests/test_init.py
BuildJet/xBOUT
523a78c8fa62cc390cfb9e434fc152c51ba9db7c
[ "Apache-2.0" ]
210
2018-12-07T19:12:14.000Z
2022-03-28T13:06:05.000Z
xbout/tests/test_init.py
BuildJet/xBOUT
523a78c8fa62cc390cfb9e434fc152c51ba9db7c
[ "Apache-2.0" ]
13
2019-02-12T14:39:19.000Z
2021-09-07T18:54:30.000Z
def test_version(): from xbout import __version__ assert __version__
15.6
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0.74359
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78
5.444444
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0
0
0
0
0
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0.217949
78
4
34
19.5
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0.333333
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0
1
1
0
1
0
0
0
0
5
d7158befb6b8f0814dcdec3a0ddb26a48d1b1698
15
py
Python
AHS/__init__.py
yujunjiex/AHSSpider
be233dfef5478a56652426974a8f96500542c7c0
[ "MIT" ]
6
2019-09-30T13:13:31.000Z
2021-09-27T00:28:17.000Z
AHS/loggers/__init__.py
yujunjiex/AHSSpider
be233dfef5478a56652426974a8f96500542c7c0
[ "MIT" ]
2
2021-03-24T09:16:29.000Z
2021-12-13T20:18:35.000Z
AHS/loggers/__init__.py
yujunjiex/AHSSpider
be233dfef5478a56652426974a8f96500542c7c0
[ "MIT" ]
2
2019-11-22T03:25:17.000Z
2021-09-27T00:28:19.000Z
# coding: UTF-8
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3.333333
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1
15
15
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5
d7404e0c3b2e5756d6a15d90cd99d382c9811ae8
24,652
py
Python
src/transbigdata/tests/test_busdata.py
cirno1w/transport
f088b4111992dd5ec6371db71cf1d26689cf8c26
[ "BSD-3-Clause" ]
1
2022-03-06T00:15:19.000Z
2022-03-06T00:15:19.000Z
src/transbigdata/tests/test_busdata.py
anitagraser/transbigdata
0eb972c78f9154c0a3f780f197ef9af406b2bb71
[ "BSD-3-Clause" ]
null
null
null
src/transbigdata/tests/test_busdata.py
anitagraser/transbigdata
0eb972c78f9154c0a3f780f197ef9af406b2bb71
[ "BSD-3-Clause" ]
null
null
null
import transbigdata as tbd import numpy as np import pandas as pd import geopandas as gpd from shapely.geometry import Polygon class TestBikedata: def setup_method(self): self.data = pd.DataFrame([['沪D-R7103', '2019-01-16 23:59:59', 121.3308582912764, 31.175129076427655], ['沪D-R7103', '2019-01-17 12:40:20', 121.33049311941906, 31.175065802450753], ['沪D-R7103', '2019-01-17 13:05:32', 121.33049311941906, 31.175065802450753], ['沪D-R7103', '2019-01-17 13:05:52', 121.33036738445367, 31.175279932303557], ['沪D-R7103', '2019-01-17 13:06:07', 121.32967297800323, 31.17497940724048], ['沪D-R7103', '2019-01-17 13:06:22', 121.33008305045536, 31.174995618170627], ['沪D-R7103', '2019-01-17 13:06:42', 121.33029256851628, 31.17510216522793], ['沪D-R7103', '2019-01-17 16:24:05', 121.33029256851628, 31.17510216522793], ['沪D-R7103', '2019-01-17 16:24:30', 121.33093714049436, 31.174819084849073], ['沪D-R7103', '2019-01-17 16:25:00', 121.33119656323854, 31.174744630573823], ['沪D-R7103', '2019-01-17 16:25:35', 121.3313133039642, 31.17470742816974], ['沪D-R7103', '2019-01-17 16:34:29', 121.3313133039642, 31.17470742816974], ['沪D-R7103', '2019-01-17 16:34:54', 121.33121258219445, 31.17410692572959], ['沪D-R7103', '2019-01-17 16:35:20', 121.32927503207796, 31.173189080128747], ['沪D-R7103', '2019-01-17 16:35:45', 121.32774259804339, 31.17211555668083], ['沪D-R7103', '2019-01-17 16:36:05', 121.32828742144076, 31.171421870458047], ['沪D-R7103', '2019-01-17 16:36:35', 121.32889308056538, 31.171053902452424], ['沪D-R7103', '2019-01-17 16:37:00', 121.33147515535293, 31.172212396845183], ['沪D-R7103', '2019-01-17 16:37:25', 121.33256465354401, 31.17289898466245], ['沪D-R7103', '2019-01-17 16:38:35', 121.33256465354401, 31.17289898466245], ['沪D-R7103', '2019-01-17 16:39:01', 121.33345761253085, 31.17344502270766], ['沪D-R7103', '2019-01-17 16:39:21', 121.33442839412734, 31.17413784648959], ['沪D-R7103', '2019-01-17 16:39:46', 121.33490830097844, 31.17448277252849], ['沪D-R7103', '2019-01-17 16:40:12', 121.33624028223001, 31.175424811168998], ['沪D-R7103', '2019-01-17 16:40:42', 121.33855210267679, 31.176992750548038], ['沪D-R7103', '2019-01-17 16:41:07', 121.33912682562804, 31.177395495654412], ['沪D-R7103', '2019-01-17 16:41:12', 121.33912682562804, 31.177395495654412], ['沪D-R7103', '2019-01-17 16:41:32', 121.33984722140025, 31.178022866403307], ['沪D-R7103', '2019-01-17 16:41:57', 121.34230283289175, 31.17997546117461], ['沪D-R7103', '2019-01-17 16:42:17', 121.34406503104313, 31.18139063132967], ['沪D-R7103', '2019-01-17 16:42:37', 121.34565267426674, 31.182475320933605], ['沪D-R7103', '2019-01-17 16:43:03', 121.34695897571785, 31.183092769036772], ['沪D-R7103', '2019-01-17 16:44:13', 121.34695897571785, 31.183092769036772], ['沪D-R7103', '2019-01-17 16:44:38', 121.34771044680997, 31.183373352784702], ['沪D-R7103', '2019-01-17 16:44:58', 121.34986914233515, 31.18401142963308], ['沪D-R7103', '2019-01-17 16:45:24', 121.35271164978475, 31.184866403422394], ['沪D-R7103', '2019-01-17 16:45:44', 121.35296916183509, 31.18495395177752], ['沪D-R7103', '2019-01-17 16:46:50', 121.35296916183509, 31.18495395177752], ['沪D-R7103', '2019-01-17 16:47:10', 121.35310590274719, 31.185008708410415], ['沪D-R7103', '2019-01-17 16:47:35', 121.35506825574805, 31.185636343326177], ['沪D-R7103', '2019-01-17 16:47:55', 121.35622514959864, 31.186098356723118], ['沪D-R7103', '2019-01-17 16:48:16', 121.35660148846878, 31.1860708068457], ['沪D-R7103', '2019-01-17 16:48:46', 121.3605496684798, 31.18750939452662], ['沪D-R7103', '2019-01-17 16:49:06', 121.36308454783347, 31.188574433939618], ['沪D-R7103', '2019-01-17 16:49:27', 121.36374253432413, 31.18862454957953], ['沪D-R7103', '2019-01-17 16:49:47', 121.36475999015713, 31.188787165079752], ['沪D-R7103', '2019-01-17 16:50:12', 121.36528119368472, 31.189100353278842], ['沪D-R7103', '2019-01-17 16:50:32', 121.36799531701536, 31.189494880357508], ['沪D-R7103', '2019-01-17 16:51:03', 121.37051893150148, 31.19027066127662], ['沪D-R7103', '2019-01-17 16:51:43', 121.37233468156712, 31.190505638967373]], columns=['VehicleId', 'GPSDateTime', 'lon', 'lat']) self.line = gpd.read_file('{"type": "FeatureCollection", "features": [{"id": "0", "type": "Feature", "properties": {"Id": 0, "name": "71\\u8def(\\u5ef6\\u5b89\\u4e1c\\u8def\\u5916\\u6ee9-\\u7533\\u6606\\u8def\\u67a2\\u7ebd\\u7ad9)"}, "geometry": {"type": "LineString", "coordinates": [[121.48680833406775, 31.23479712221373, 0.0], [121.48654212047136, 31.234694676029786, 0.0], [121.48640321578763, 31.2344335165597, 0.0], [121.48620424418269, 31.234332091432126, 0.0], [121.48570963449876, 31.23407338399259, 0.0], [121.48520746843946, 31.233845822266794, 0.0], [121.48473939391056, 31.23371324838625, 0.0], [121.48435071992188, 31.233602809110284, 0.0], [121.48382747488549, 31.233252131305267, 0.0], [121.48358667235713, 31.23313436404436, 0.0], [121.4830110244368, 31.233081954943895, 0.0], [121.48159212474732, 31.233197283736708, 0.0], [121.48081840120713, 31.233175997627082, 0.0], [121.48046555948812, 31.233141592052398, 0.0], [121.4792684569557, 31.23294431959499, 0.0], [121.47728773381367, 31.23219022228969, 0.0], [121.47650938696911, 31.23182638081955, 0.0], [121.47615549794644, 31.231646740130707, 0.0], [121.47467923815317, 31.230790112644126, 0.0], [121.47396374247927, 31.23041805989505, 0.0], [121.4723546525761, 31.22946394254198, 0.0], [121.4718447208883, 31.22916120530873, 0.0], [121.47162507708418, 31.229063043002803, 0.0], [121.46971148882133, 31.228210311091555, 0.0], [121.46934522194101, 31.22804592028437, 0.0], [121.46895218140925, 31.22786892438538, 0.0], [121.46659610091696, 31.226897254621516, 0.0], [121.4649631794914, 31.226282609517412, 0.0], [121.46414113119387, 31.226039232240876, 0.0], [121.46346858001557, 31.225907738094904, 0.0], [121.4632085414404, 31.22585738171055, 0.0], [121.46201595667192, 31.22581602366564, 0.0], [121.46012337207506, 31.22589498094655, 0.0], [121.45964966243406, 31.225915179689988, 0.0], [121.45916931421996, 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[121.34143955204493, 31.17883883921868, 0.0], [121.33937970212246, 31.177271930382528, 0.0], [121.3390253936204, 31.176999658284107, 0.0], [121.33873935903235, 31.17678044295161, 0.0], [121.33831308857619, 31.17648439328463, 0.0], [121.33753628037235, 31.17594366146003, 0.0], [121.33604789800422, 31.17497203682833, 0.0], [121.33495675278324, 31.174259650219373, 0.0], [121.33462195194231, 31.174037199940333, 0.0], [121.33270025695657, 31.172760813025707, 0.0], [121.33118423301782, 31.171754317896283, 0.0], [121.32987961299621, 31.171128931445935, 0.0], [121.32936757297823, 31.170915817469155, 0.0], [121.32871072365552, 31.170641854595385, 0.0], [121.32808295962585, 31.170381012393694, 0.0], [121.32694229666748, 31.171535181527215, 0.0], [121.32949486297333, 31.1727777609417, 0.0]]}}]}') self.stop = gpd.read_file('{"type": "FeatureCollection", "features": [{"id": "0", "type": "Feature", "properties": {"lat": 31.232760281, "linename": "71\\u8def(\\u5ef6\\u5b89\\u4e1c\\u8def\\u5916\\u6ee9-\\u7533\\u6606\\u8def\\u67a2\\u7ebd\\u7ad9)", "lon": 121.483251722, "stopname": "\\u5ef6\\u5b89\\u4e1c\\u8def\\u5916\\u6ee9"}, "geometry": {"type": "Point", "coordinates": [121.48688469316784, 31.23484102475723]}}, {"id": "1", "type": "Feature", "properties": {"lat": 31.228843235, "linename": "71\\u8def(\\u5ef6\\u5b89\\u4e1c\\u8def\\u5916\\u6ee9-\\u7533\\u6606\\u8def\\u67a2\\u7ebd\\u7ad9)", "lon": 121.471204173, "stopname": "\\u897f\\u85cf\\u4e2d\\u8def"}, "geometry": {"type": "Point", "coordinates": [121.47468505225578, 31.230783624070586]}}, {"id": "2", "type": "Feature", "properties": {"lat": 31.2262890815, "linename": "71\\u8def(\\u5ef6\\u5b89\\u4e1c\\u8def\\u5916\\u6ee9-\\u7533\\u6606\\u8def\\u67a2\\u7ebd\\u7ad9)", "lon": 121.46620721, "stopname": "\\u9ec4\\u9642\\u5317\\u8def"}, "geometry": {"type": "Point", "coordinates": [121.46970615320824, 31.22822013538774]}}, {"id": "3", "type": "Feature", "properties": {"lat": 31.2241692712, "linename": "71\\u8def(\\u5ef6\\u5b89\\u4e1c\\u8def\\u5916\\u6ee9-\\u7533\\u6606\\u8def\\u67a2\\u7ebd\\u7ad9)", "lon": 121.460679191, "stopname": "\\u6210\\u90fd\\u5317\\u8def"}, "geometry": {"type": "Point", "coordinates": [121.46413649158545, 31.226052872297608]}}, {"id": "4", "type": "Feature", "properties": {"lat": 31.2242450755, "linename": "71\\u8def(\\u5ef6\\u5b89\\u4e1c\\u8def\\u5916\\u6ee9-\\u7533\\u6606\\u8def\\u67a2\\u7ebd\\u7ad9)", "lon": 121.453549153, "stopname": "\\u8302\\u540d\\u5317\\u8def"}, "geometry": {"type": "Point", "coordinates": [121.45670741736707, 31.225919681700777]}}, {"id": "5", "type": "Feature", "properties": {"lat": 31.2236712033, "linename": "71\\u8def(\\u5ef6\\u5b89\\u4e1c\\u8def\\u5916\\u6ee9-\\u7533\\u6606\\u8def\\u67a2\\u7ebd\\u7ad9)", "lon": 121.445507471, "stopname": "\\u4e0a\\u6d77\\u5c55\\u89c8\\u4e2d\\u5fc3"}, "geometry": {"type": "Point", "coordinates": [121.44838602968272, 31.2251447687407]}}, {"id": "6", "type": "Feature", "properties": {"lat": 31.2218815305, "linename": "71\\u8def(\\u5ef6\\u5b89\\u4e1c\\u8def\\u5916\\u6ee9-\\u7533\\u6606\\u8def\\u67a2\\u7ebd\\u7ad9)", "lon": 121.440473777, "stopname": "\\u5e38\\u5fb7\\u8def"}, "geometry": {"type": "Point", "coordinates": [121.44330213951724, 31.22330447998906]}}, {"id": "7", "type": "Feature", "properties": {"lat": 31.221176291, "linename": "71\\u8def(\\u5ef6\\u5b89\\u4e1c\\u8def\\u5916\\u6ee9-\\u7533\\u6606\\u8def\\u67a2\\u7ebd\\u7ad9)", "lon": 121.436915266, "stopname": "\\u534e\\u5c71\\u8def"}, "geometry": {"type": "Point", "coordinates": [121.4396592559502, 31.222534008422322]}}, {"id": "8", "type": "Feature", "properties": {"lat": 31.2182418106, "linename": "71\\u8def(\\u5ef6\\u5b89\\u4e1c\\u8def\\u5916\\u6ee9-\\u7533\\u6606\\u8def\\u67a2\\u7ebd\\u7ad9)", "lon": 121.430528141, "stopname": "\\u9547\\u5b81\\u8def"}, "geometry": {"type": "Point", "coordinates": [121.43326636585115, 31.219570192858782]}}, {"id": "9", "type": "Feature", "properties": 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31.208161334, "linename": "71\\u8def(\\u5ef6\\u5b89\\u4e1c\\u8def\\u5916\\u6ee9-\\u7533\\u6606\\u8def\\u67a2\\u7ebd\\u7ad9)", "lon": 121.40784817, "stopname": "\\u51ef\\u65cb\\u8def"}, "geometry": {"type": "Point", "coordinates": [121.41053622161131, 31.209367641295568]}}, {"id": "13", "type": "Feature", "properties": {"lat": 31.2017646283, "linename": "71\\u8def(\\u5ef6\\u5b89\\u4e1c\\u8def\\u5916\\u6ee9-\\u7533\\u6606\\u8def\\u67a2\\u7ebd\\u7ad9)", "lon": 121.396563628, "stopname": "\\u5a04\\u5c71\\u5173\\u8def"}, "geometry": {"type": "Point", "coordinates": [121.39934723279329, 31.202982794937725]}}, {"id": "14", "type": "Feature", "properties": {"lat": 31.1966784182, "linename": "71\\u8def(\\u5ef6\\u5b89\\u4e1c\\u8def\\u5916\\u6ee9-\\u7533\\u6606\\u8def\\u67a2\\u7ebd\\u7ad9)", "lon": 121.384656058, "stopname": "\\u6c34\\u57ce\\u5357\\u8def"}, "geometry": {"type": "Point", "coordinates": [121.38739524533014, 31.197821587877485]}}, {"id": "15", "type": "Feature", "properties": 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31.1868269216, "linename": "71\\u8def(\\u5ef6\\u5b89\\u4e1c\\u8def\\u5916\\u6ee9-\\u7533\\u6606\\u8def\\u67a2\\u7ebd\\u7ad9)", "lon": 121.361545646, "stopname": "\\u8679\\u4e95\\u8def"}, "geometry": {"type": "Point", "coordinates": [121.36419682256896, 31.18782342514133]}}, {"id": "19", "type": "Feature", "properties": {"lat": 31.1840846357, "linename": "71\\u8def(\\u5ef6\\u5b89\\u4e1c\\u8def\\u5916\\u6ee9-\\u7533\\u6606\\u8def\\u67a2\\u7ebd\\u7ad9)", "lon": 121.352767681, "stopname": "\\u5916\\u73af\\u8def"}, "geometry": {"type": "Point", "coordinates": [121.35529817330725, 31.184972846336553]}}, {"id": "20", "type": "Feature", "properties": {"lat": 31.181572874, "linename": "71\\u8def(\\u5ef6\\u5b89\\u4e1c\\u8def\\u5916\\u6ee9-\\u7533\\u6606\\u8def\\u67a2\\u7ebd\\u7ad9)", "lon": 121.345073283, "stopname": "\\u822a\\u4e1c\\u8def"}, "geometry": {"type": "Point", "coordinates": [121.347507406901, 31.182371829399024]}}, {"id": "21", "type": "Feature", "properties": {"lat": 31.1764410431, "linename": "71\\u8def(\\u5ef6\\u5b89\\u4e1c\\u8def\\u5916\\u6ee9-\\u7533\\u6606\\u8def\\u67a2\\u7ebd\\u7ad9)", "lon": 121.336834516, "stopname": "\\u822a\\u65b0\\u8def"}, "geometry": {"type": "Point", "coordinates": [121.33937857556569, 31.177272847089057]}}, {"id": "22", "type": "Feature", "properties": {"lat": 31.1733903453, "linename": "71\\u8def(\\u5ef6\\u5b89\\u4e1c\\u8def\\u5916\\u6ee9-\\u7533\\u6606\\u8def\\u67a2\\u7ebd\\u7ad9)", "lon": 121.332337755, "stopname": "\\u5434\\u5b9d\\u8def"}, "geometry": {"type": "Point", "coordinates": [121.33496359737327, 31.174253204731254]}}, {"id": "23", "type": "Feature", "properties": {"lat": 31.1723921945, "linename": "71\\u8def(\\u5ef6\\u5b89\\u4e1c\\u8def\\u5916\\u6ee9-\\u7533\\u6606\\u8def\\u67a2\\u7ebd\\u7ad9)", "lon": 121.326950253, "stopname": "\\u7533\\u6606\\u8def\\u67a2\\u7ebd\\u7ad9"}, "geometry": {"type": "Point", "coordinates": [121.32944223863883, 31.17315254936537]}}]}') def test_busgps_arriveinfo(self): arriveinfo = tbd.busgps_arriveinfo(self.data, self.line, self.stop) assert len(arriveinfo) == 9 assert len(tbd.busgps_arriveinfo(self.data, self.line, self.stop,method='dislimit'))==7 onewaytime = tbd.busgps_onewaytime(arriveinfo, start='剑河路', end='航新路', col=['VehicleId', 'stopname','arrivetime','leavetime']) assert onewaytime['duration'].iloc[0] == 562.0
202.065574
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d75a2c9cec7a42cc207289931da5cd5d981ef86e
146
py
Python
Instructions/starter_code/api_keys.py
fmkaramloo/python-api-challenge
900271c220de9465ebfb6981fb51c322ac1c4367
[ "ADSL" ]
null
null
null
Instructions/starter_code/api_keys.py
fmkaramloo/python-api-challenge
900271c220de9465ebfb6981fb51c322ac1c4367
[ "ADSL" ]
null
null
null
Instructions/starter_code/api_keys.py
fmkaramloo/python-api-challenge
900271c220de9465ebfb6981fb51c322ac1c4367
[ "ADSL" ]
null
null
null
# OpenWeatherMap API Key weather_api_key = "972fc242a771ca44611f48d634a9e967" # Google API Key g_key = "AIzaSyCWD-Z7WINc53d-5orJ46Zg3qVZN1UK0ho"
24.333333
52
0.828767
15
146
7.866667
0.666667
0.152542
0
0
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0
0.244275
0.10274
146
5
53
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0.656489
0.253425
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0.669811
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ad1233af780254c29cdd21eef490a1f4b6a8e71e
130
py
Python
helpers/IndexTools.py
GigliOneiric/ElliotWave
5d0fc166530a57132dce4e4c00ecb33cb8101aaa
[ "Apache-2.0" ]
null
null
null
helpers/IndexTools.py
GigliOneiric/ElliotWave
5d0fc166530a57132dce4e4c00ecb33cb8101aaa
[ "Apache-2.0" ]
null
null
null
helpers/IndexTools.py
GigliOneiric/ElliotWave
5d0fc166530a57132dce4e4c00ecb33cb8101aaa
[ "Apache-2.0" ]
null
null
null
def last_index(pattern): wave_list = pattern.wave_list number_of_elements = len(wave_list) return number_of_elements
21.666667
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5
ad240b5b7da24b5a7e4b11b3b6042cba0965098e
72
py
Python
mistos-backend/src/app/api/napari_widgets.py
Maddonix/mistos_2
4bd9f45ad9e49f4178c0b8bb1a177d7db5349c34
[ "MIT" ]
1
2021-03-22T10:57:01.000Z
2021-03-22T10:57:01.000Z
mistos-backend/src/app/api/napari_widgets.py
Maddonix/mistos_2
4bd9f45ad9e49f4178c0b8bb1a177d7db5349c34
[ "MIT" ]
44
2021-02-17T15:07:17.000Z
2021-04-05T07:07:09.000Z
mistos-backend/src/app/api/napari_widgets.py
Maddonix/mistos_2
4bd9f45ad9e49f4178c0b8bb1a177d7db5349c34
[ "MIT" ]
null
null
null
from magicgui import magicgui from app.api import utils_transformations
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5
ad3535931f60c3b61c4997c6ed7e371daf06e341
48
py
Python
nordlys/nordlys/logic/query/__init__.py
medtray/MultiEm-RGCN
11c7978273d57242090fa3715207ba18732d7f38
[ "MIT" ]
34
2017-03-22T10:49:51.000Z
2022-03-15T07:20:14.000Z
nordlys/nordlys/logic/query/__init__.py
medtray/MultiEm-RGCN
11c7978273d57242090fa3715207ba18732d7f38
[ "MIT" ]
33
2017-11-08T11:11:34.000Z
2021-11-15T15:39:51.000Z
nordlys/nordlys/logic/query/__init__.py
medtray/MultiEm-RGCN
11c7978273d57242090fa3715207ba18732d7f38
[ "MIT" ]
19
2017-03-22T17:48:42.000Z
2021-03-10T20:52:04.000Z
""" Query ===== This is the query package. """
6.857143
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5
ad64f3dc2915f4b43a3c400c5a454bbac5e2bcb7
150
py
Python
winter/drf/body_with_context.py
EvgenySmekalin/winter
24b6a02f958478547a4a120324823743a1f7e1a1
[ "MIT" ]
1
2020-03-28T14:54:28.000Z
2020-03-28T14:54:28.000Z
winter/drf/body_with_context.py
EvgenySmekalin/winter
24b6a02f958478547a4a120324823743a1f7e1a1
[ "MIT" ]
null
null
null
winter/drf/body_with_context.py
EvgenySmekalin/winter
24b6a02f958478547a4a120324823743a1f7e1a1
[ "MIT" ]
null
null
null
from typing import Any from typing import Dict from dataclasses import dataclass @dataclass class BodyWithContext: body: Any context: Dict
13.636364
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150
6.105263
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a8ec08e8701f0032894433df382eeb2b7bc0bc67
130
py
Python
ml/__init__.py
ruberVulpes/a-discord-bot
0996a39b01917bf4f1a9b2a33ca46033ca2c9eb5
[ "MIT" ]
null
null
null
ml/__init__.py
ruberVulpes/a-discord-bot
0996a39b01917bf4f1a9b2a33ca46033ca2c9eb5
[ "MIT" ]
2
2021-02-22T05:08:30.000Z
2021-04-06T20:29:39.000Z
ml/__init__.py
ruberVulpes/a-discord-bot
0996a39b01917bf4f1a9b2a33ca46033ca2c9eb5
[ "MIT" ]
null
null
null
cutoff = 20 decision_cutoff = .25 model_path = 'ml/overwatch_messages.model' vectorizer_path = 'ml/overwatch_messages.vectorizer'
26
52
0.807692
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130
5.882353
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4
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5
d1132d5444be5af40ed9f2221b9471e94728b833
74
py
Python
04_exploration/solutions/titanic_missing_age_21.py
glemaitre/x_exed_10_2018
72289925ddcac02ca36c003faa6f9de680313227
[ "CC0-1.0" ]
1
2019-01-11T14:45:55.000Z
2019-01-11T14:45:55.000Z
04_exploration/solutions/titanic_missing_age_21.py
glemaitre/smob_paristech_12_2018
b669206f204a3e57e71efb3dd22e2ffbc4e0a309
[ "CC0-1.0" ]
4
2019-02-22T21:37:20.000Z
2019-03-12T13:20:29.000Z
04_exploration/solutions/titanic_missing_age_21.py
glemaitre/smob_paristech_12_2018
b669206f204a3e57e71efb3dd22e2ffbc4e0a309
[ "CC0-1.0" ]
1
2018-10-18T06:57:59.000Z
2018-10-18T06:57:59.000Z
without_age = data[data.Age.isnull()] with_age = data[~data.Age.isnull()]
24.666667
37
0.716216
12
74
4.25
0.416667
0.27451
0.431373
0.54902
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0.081081
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2
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5
d12f6bc14acd8d9ae78b1f3375a7c3f727262b32
181
py
Python
web/jobmatchings/admin.py
MattYu/django-docker-nginx-postgres-letsEncrypt-jobBoard
a59d4c3d8adf38eaa986eaf5efc21f774010aa2a
[ "MIT" ]
1
2020-06-03T02:10:30.000Z
2020-06-03T02:10:30.000Z
jobmatchings/admin.py
MattYu/ConcordiaAce
35eff7614652eb548e532dcf00e3a7296855285c
[ "MIT" ]
34
2020-04-05T01:14:31.000Z
2022-03-12T00:23:02.000Z
jobmatchings/admin.py
MattYu/ConcordiaAce
35eff7614652eb548e532dcf00e3a7296855285c
[ "MIT" ]
1
2020-10-29T03:09:08.000Z
2020-10-29T03:09:08.000Z
from django.contrib import admin from jobmatchings.models import MatchingHistory, Match # Register your models here. admin.site.register(Match) admin.site.register(MatchingHistory)
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55
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d16e81d6c4e5dc05c80f118526526d5449d81efe
174
py
Python
tests/test_io_spec.py
JBorrow/pageplot
8abad574fda476d26a59fc8b7d36da2838f2c11e
[ "MIT" ]
null
null
null
tests/test_io_spec.py
JBorrow/pageplot
8abad574fda476d26a59fc8b7d36da2838f2c11e
[ "MIT" ]
null
null
null
tests/test_io_spec.py
JBorrow/pageplot
8abad574fda476d26a59fc8b7d36da2838f2c11e
[ "MIT" ]
null
null
null
""" Tests basic understanding of pydantic. """ from pageplot.io.spec import IOSpecification def test_IOSpecification(): io_spec = IOSpecification(filename="test.csv")
17.4
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9
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5
0f2e0e71d28a8e69036155605aaeb715ec760718
786
py
Python
lizardanalysis/__init__.py
JojoReikun/ClimbingLizardDLCAnalysis
6cc38090217a3ffd4860ef6d06ba7967d3c10b7c
[ "MIT" ]
1
2021-03-09T19:12:44.000Z
2021-03-09T19:12:44.000Z
lizardanalysis/__init__.py
JojoReikun/ClimbingLizardDLCAnalysis
6cc38090217a3ffd4860ef6d06ba7967d3c10b7c
[ "MIT" ]
null
null
null
lizardanalysis/__init__.py
JojoReikun/ClimbingLizardDLCAnalysis
6cc38090217a3ffd4860ef6d06ba7967d3c10b7c
[ "MIT" ]
null
null
null
""" LizardDLCAnalysis Toolbox © Jojo S. Licensed under MIT License """ # TODO: complete as going along import os DEBUG = True and 'DEBUG' in os.environ and os.environ['DEBUG'] from lizardanalysis import DEBUG from lizardanalysis import start_new_analysis from lizardanalysis.start_new_analysis import create_new_project from lizardanalysis.utils import auxiliaryfunctions from lizardanalysis import calculations from lizardanalysis.calculations.read_in_files import analyze_files, initialize from lizardanalysis.calculations.write_result_files import summarize_results from lizardanalysis.calculations.lizard_morphometrics import calc_morphometrics from lizardanalysis.calculations.step_wise_summary import summarize_stepwise from lizardanalysis.version import __version__, VERSION
34.173913
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5
7e22e81524acb013749b13dcc9a75c538e4fac05
63
py
Python
inference/params/190212_minnie_mip4_render.py
emitch/SEAMLeSS
cae21c67316ed36529fdc2e470a105a9f847975c
[ "MIT" ]
4
2018-12-17T18:45:57.000Z
2021-04-29T16:30:42.000Z
inference/params/190212_minnie_mip4_render.py
emitch/SEAMLeSS
cae21c67316ed36529fdc2e470a105a9f847975c
[ "MIT" ]
19
2019-01-02T19:09:12.000Z
2020-12-14T18:50:47.000Z
inference/params/190212_minnie_mip4_render.py
emitch/SEAMLeSS
cae21c67316ed36529fdc2e470a105a9f847975c
[ "MIT" ]
2
2020-03-18T01:24:03.000Z
2022-01-06T06:19:58.000Z
A11,A12,A13,A21,A22,A23,z_start,z_stop 1,0,-32,0,1,-32,1,28000
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63
2.388889
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0.031746
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2
39
31.5
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5
7e47df40f2dd568f1cea6d73d309a89a05eb2224
354
py
Python
nsd1802/python/day07/myclass.py
MrWangwf/nsd1806
069e993b0bb64cb21adc2a25aa56f6da674453bc
[ "Apache-2.0" ]
null
null
null
nsd1802/python/day07/myclass.py
MrWangwf/nsd1806
069e993b0bb64cb21adc2a25aa56f6da674453bc
[ "Apache-2.0" ]
null
null
null
nsd1802/python/day07/myclass.py
MrWangwf/nsd1806
069e993b0bb64cb21adc2a25aa56f6da674453bc
[ "Apache-2.0" ]
null
null
null
class A: def foo(self): print('in A foo') def hello(self): print('A hello') class B: def bar(self): print('in B bar') def hello(self): print('B hello') class C(B, A): pass # def hello(self): # print('C hello') if __name__ == '__main__': c = C() c.foo() c.bar() c.hello()
15.391304
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7e4ddaae72f374866e52dd98ada8aff03307716e
164
py
Python
day2/and.py
alqmy/The-Garage-Summer-Of-Code
af310d5e5194a62962db2fc1e601099468251efa
[ "MIT" ]
null
null
null
day2/and.py
alqmy/The-Garage-Summer-Of-Code
af310d5e5194a62962db2fc1e601099468251efa
[ "MIT" ]
null
null
null
day2/and.py
alqmy/The-Garage-Summer-Of-Code
af310d5e5194a62962db2fc1e601099468251efa
[ "MIT" ]
null
null
null
print(1 == 2 and 1 == 1) # False print(1 == 1 and 2 == 2) # True print(5 > 2 and True) # True print(False and True) print(False and False) print(True and True)
14.909091
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0.621951
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3.1875
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5
7e598ec383c9d2ec4538155bf748fd9583b20bc3
30
py
Python
PythonCurso01/aula121_docstrings/exemplo03/main.py
AlissonAnjos21/Aprendendo
9454d9e53ef9fb8bc61bf481b6592164f5bf8695
[ "MIT" ]
null
null
null
PythonCurso01/aula121_docstrings/exemplo03/main.py
AlissonAnjos21/Aprendendo
9454d9e53ef9fb8bc61bf481b6592164f5bf8695
[ "MIT" ]
null
null
null
PythonCurso01/aula121_docstrings/exemplo03/main.py
AlissonAnjos21/Aprendendo
9454d9e53ef9fb8bc61bf481b6592164f5bf8695
[ "MIT" ]
null
null
null
import funcoes help(funcoes)
7.5
14
0.8
4
30
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1
0
0
0
0
5
7e6e0b59caa97c2a83c5da36efccd565fae29e6c
154
py
Python
fizzbuzz/fizzbuzz.py
varikvalefor/Equivalent-Computer-Programs
868c97b8305dc78e7a2eda94f4eaf4f26effe2cc
[ "BSD-3-Clause" ]
null
null
null
fizzbuzz/fizzbuzz.py
varikvalefor/Equivalent-Computer-Programs
868c97b8305dc78e7a2eda94f4eaf4f26effe2cc
[ "BSD-3-Clause" ]
4
2021-09-08T20:30:03.000Z
2021-09-10T00:58:05.000Z
fizzbuzz/fizzbuzz.py
varikvalefor/Equivalent-Computer-Programs
868c97b8305dc78e7a2eda94f4eaf4f26effe2cc
[ "BSD-3-Clause" ]
null
null
null
a = 0 while(1): a = a+1 if(a%15 == 0): print("FIZZ BUZZ") elif(a%5 == 0): print("BUZZ") elif(a%3 == 0): print("FIZZ") else: print(a)
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5
0e4d7a9ee0828734f7c04d5ac284e08205839e40
123
py
Python
qtpynodeeditor/examples/__init__.py
tfarago/qtpynodeeditor
513301cfdb65be14bed428be1ef6b815d5873b63
[ "BSD-3-Clause" ]
100
2019-03-23T20:32:45.000Z
2022-03-30T17:50:23.000Z
qtpynodeeditor/examples/__init__.py
tfarago/qtpynodeeditor
513301cfdb65be14bed428be1ef6b815d5873b63
[ "BSD-3-Clause" ]
30
2019-03-17T14:12:05.000Z
2021-04-15T17:30:19.000Z
qtpynodeeditor/examples/__init__.py
tfarago/qtpynodeeditor
513301cfdb65be14bed428be1ef6b815d5873b63
[ "BSD-3-Clause" ]
36
2019-05-22T06:27:00.000Z
2022-01-11T06:53:50.000Z
from . import calculator, connection_colors, image, style __all__ = ['calculator', 'style', 'connection_colors', 'image']
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0e9640042763021ab9069eb583d7fb8d39bf7347
122
py
Python
SDALib-CPP/SDALib-Python/Driver.py
red-panda-productions/SDALib
ff5505b3454374792589529de1c45308c4d119e7
[ "MIT" ]
null
null
null
SDALib-CPP/SDALib-Python/Driver.py
red-panda-productions/SDALib
ff5505b3454374792589529de1c45308c4d119e7
[ "MIT" ]
null
null
null
SDALib-CPP/SDALib-Python/Driver.py
red-panda-productions/SDALib
ff5505b3454374792589529de1c45308c4d119e7
[ "MIT" ]
null
null
null
class SDADriver: def InitAI(self): return def UpdateAI(self,SDAData): return (0.4, 0.2, 0.5, 1)
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1
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5
7d2075ef1b2f083294b6b85ea8bf06d0688c6a91
1,278
py
Python
tests/test_execute.py
mwouts/papermill_jupytext
133dd38e76145e77c477522114b87284ab687a21
[ "MIT" ]
14
2019-05-22T05:02:59.000Z
2021-11-08T11:46:43.000Z
tests/test_execute.py
mwouts/papermill_jupytext
133dd38e76145e77c477522114b87284ab687a21
[ "MIT" ]
1
2019-07-21T20:15:24.000Z
2019-07-21T20:15:24.000Z
tests/test_execute.py
mwouts/papermill_jupytext
133dd38e76145e77c477522114b87284ab687a21
[ "MIT" ]
2
2019-06-20T17:51:01.000Z
2019-10-22T22:23:21.000Z
import os import nbformat import papermill as pm def test_execute_markdown(tmpdir): tmp_md = str(tmpdir.join('markdown.md')) tmp_ipynb = str(tmpdir.join('executed.ipynb')) with open(tmp_md, 'w') as fp: fp.write("""```python tags=["parameters"] # This cell defines the default value for parameters integer = 1 text = "default" ``` ```python print('Parameters are {}'.format({'integer': integer, 'text': text})) ``` """) pm.execute_notebook( 'txt://' + tmp_md, tmp_ipynb, parameters=dict(integer=2) ) assert os.path.isfile(tmp_ipynb) nb = nbformat.read(tmp_ipynb, as_version=4) assert len(nb.cells) == 3 def test_execute_script(tmpdir): tmp_py = str(tmpdir.join('script.py')) tmp_ipynb = str(tmpdir.join('executed.ipynb')) with open(tmp_py, 'w') as fp: fp.write("""# %% {"tags": ["parameters"]} # This cell defines the default value for parameters integer = 1 text = "default" # %% print('Parameters are {}'.format({'integer': integer, 'text': text})) """) pm.execute_notebook( 'txt://' + tmp_py, tmp_ipynb, parameters=dict(integer=2) ) assert os.path.isfile(tmp_ipynb) nb = nbformat.read(tmp_ipynb, as_version=4) assert len(nb.cells) == 3
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0
5
adf1b14193567eb5f56aac6b95823392a1e10ef0
76
py
Python
CodeWars/Python/5 kyu/Not very secure/main.py
opastushkov/codewars-solutions
0132a24259a4e87f926048318332dcb4d94858ca
[ "MIT" ]
null
null
null
CodeWars/Python/5 kyu/Not very secure/main.py
opastushkov/codewars-solutions
0132a24259a4e87f926048318332dcb4d94858ca
[ "MIT" ]
null
null
null
CodeWars/Python/5 kyu/Not very secure/main.py
opastushkov/codewars-solutions
0132a24259a4e87f926048318332dcb4d94858ca
[ "MIT" ]
null
null
null
def alphanumeric(s): return all([x.isalpha() or x.isdigit() for x in s])
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5
bc0c7522d70df5f3bcddc440b0d5a5080b65cea6
5,578
py
Python
brawl_api/core.py
sebastianmarines/bst
52d76e9c421b7b74dea00f5a5bee051e6b6b2ef0
[ "MIT" ]
1
2021-09-17T22:57:05.000Z
2021-09-17T22:57:05.000Z
brawl_api/core.py
sebastianmarines/bst
52d76e9c421b7b74dea00f5a5bee051e6b6b2ef0
[ "MIT" ]
2
2021-09-18T22:55:52.000Z
2021-09-21T02:41:34.000Z
brawl_api/core.py
sebastianmarines/brawl_api
52d76e9c421b7b74dea00f5a5bee051e6b6b2ef0
[ "MIT" ]
null
null
null
from typing import Generic, Type, TypeVar from aiohttp.client_reqrep import ClientResponse from pydantic.main import BaseModel import requests import aiohttp from requests.sessions import Session from requests import Response from brawl_api.utils import API, format_tag from brawl_api.models import Battlelog, Player, Club, MemberList T = TypeVar('T', Player, Club, Battlelog, MemberList) R = TypeVar('R', Response, ClientResponse) class ClientBase: def _check_request_error(self, request: R) -> R: # TODO return request class Client(ClientBase): """Client class """ session: Session def __init__(self, token: str) -> None: self.session = requests.Session() self.headers = { 'Authorization': f'Bearer {token}', } def _request(self, route: str) -> dict: with self.session as session: response = session.get(API.base + route, headers=self.headers) response = self._check_request_error(response) return response.json() def _get_x(self, model: Type[T], url: str) -> T: resp = self._request(url) return model.parse_obj(resp) def get_player(self, player_tag) -> Player: """Get player Args: player_tag (str): Brawl stars player tag Returns: Player: A Player object """ player_tag = format_tag(player_tag) return self._get_x(Player, f"{API.players}/{player_tag}") # json_resp = self._request(f"{API.players}/{player_tag}") # return Player.parse_obj(json_resp) def get_player_battlelog(self, player_tag: str) -> Battlelog: """Get player's battlelog Args: player_tag (str): Brawl stars player tag Returns: Battlelog: A Battlelog object """ player_tag = format_tag(player_tag) return self._get_x(Battlelog, f"{API.players}/{player_tag}/battlelog") # json_resp = self._request(f"{API.players}/{player_tag}/battlelog") # return Battlelog.parse_obj(json_resp["items"]) def get_club(self, club_tag: str) -> Club: """Get club information Args: club_tag (str): Brawl Stars club tag Returns: Club: A Club object """ club_tag = format_tag(club_tag) return self._get_x(Club, f"{API.club}/{club_tag}") # json_resp = self._request(f"{API.club}/{club_tag}") # return Club.parse_obj(json_resp) def get_club_members(self, club_tag: str) -> MemberList: """Get club members Args: club_tag (str): Brawl Stars club tag Returns: MemberList: A MemberList object """ club_tag = format_tag(club_tag) return self._get_x(MemberList, f"{API.club}/{club_tag}/members") # json_resp = self._request(f"{API.club}/{club_tag}/members") # return MemberList.parse_obj(json_resp["items"]) class AsyncClient(ClientBase): session: aiohttp.ClientSession def __init__(self, token: str) -> None: self.session = aiohttp.ClientSession() self.headers = { 'Authorization': f'Bearer {token}', } async def _request(self, route: str): async with self.session.get(API.base + route, headers=self.headers) as response: response = self._check_request_error(response) return await response.json() async def _get_x(self, model: Type[T], url: str) -> T: resp = await self._request(url) return model.parse_obj(resp) async def get_player(self, player_tag: str) -> Player: """Get player Args: player_tag (str): Brawl stars player tag Returns: Player: A Player object """ player_tag = format_tag(player_tag) return await self._get_x(Player, f"{API.players}/{player_tag}") # json_resp = await self._request(f"{API.players}/{player_tag}") # return Player.parse_obj(json_resp) async def get_player_battlelog(self, player_tag: str) -> Battlelog: """Get player's battlelog Args: player_tag (str): Brawl stars player tag Returns: Battlelog: A Battlelog object """ player_tag = format_tag(player_tag) return await self._get_x(Battlelog, f"{API.players}/{player_tag}/battlelog") # json_resp = await self._request(f"{API.players}/{player_tag}/battlelog" # ) # return Battlelog.parse_obj(json_resp["items"]) async def get_club(self, club_tag: str) -> Club: """Get club information Args: club_tag (str): Brawl Stars club tag Returns: Club: A Club object """ club_tag = format_tag(club_tag) return await self._get_x(Club, f"{API.club}/{club_tag}") # json_resp = await self._request(f"{API.club}/{club_tag}") # return Club.parse_obj(json_resp) async def get_club_members(self, club_tag: str) -> MemberList: """Get club members Args: club_tag (str): Brawl Stars club tag Returns: MemberList: A MemberList object """ club_tag = format_tag(club_tag) return await self._get_x(MemberList, f"{API.club}/{club_tag}/members") # json_resp = await self._request(f"{API.club}/{club_tag}/members") # return MemberList.parse_obj(json_resp["items"])
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0
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5
bc11a9dafce7108046bb49574b6f5d8fb928cc53
84
py
Python
ec2ssh/__main__.py
akx/ec2ssh
3709f886de74b1def88c0b7ff8d83279c1b3b7d7
[ "MIT" ]
null
null
null
ec2ssh/__main__.py
akx/ec2ssh
3709f886de74b1def88c0b7ff8d83279c1b3b7d7
[ "MIT" ]
null
null
null
ec2ssh/__main__.py
akx/ec2ssh
3709f886de74b1def88c0b7ff8d83279c1b3b7d7
[ "MIT" ]
null
null
null
from ec2ssh.main import wrapped_main if __name__ == '__main__': wrapped_main()
16.8
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5
bc251d0a692477a7dfebe4d75fe5cadc5641db74
55
py
Python
tifa/apps/user/__init__.py
twocucao/tifa
f703fd27f54000e7d51f06d2456d09cc79e0ab72
[ "MIT" ]
71
2020-04-16T04:28:45.000Z
2022-03-31T22:45:11.000Z
tifa/apps/user/__init__.py
twocucao/tifa
f703fd27f54000e7d51f06d2456d09cc79e0ab72
[ "MIT" ]
6
2021-05-13T06:32:38.000Z
2022-03-04T01:18:34.000Z
tifa/apps/user/__init__.py
twocucao/tifa
f703fd27f54000e7d51f06d2456d09cc79e0ab72
[ "MIT" ]
12
2021-05-01T08:43:11.000Z
2022-03-29T00:58:54.000Z
from .router import bp from .checkout import * # noqa
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cb231e80a4264acd5b77b537ee8e416a9ae73667
42
py
Python
utils/__init__.py
paulo-henrique-ph/flask_restplus_tutorial
2072be87a25605e4a5596f9bd7701142edd7ea3d
[ "MIT" ]
null
null
null
utils/__init__.py
paulo-henrique-ph/flask_restplus_tutorial
2072be87a25605e4a5596f9bd7701142edd7ea3d
[ "MIT" ]
1
2021-06-01T23:46:04.000Z
2021-06-01T23:46:04.000Z
utils/__init__.py
paulo-henrique-ph/flask_restplus_tutorial
2072be87a25605e4a5596f9bd7701142edd7ea3d
[ "MIT" ]
null
null
null
from .exemplo_utilitario import Utilitario
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5
cb30a205ba2f6feff5633e9ba83d4b877cfccfdc
505
py
Python
ProgettoLube/WebInspector/venv/Lib/site-packages/tensorflow/_api/v2/compat/v1/train/queue_runner/__init__.py
Lube-Project/ProgettoLube
cbf33971e2c2e865783ec1a2302625539186a338
[ "MIT" ]
2
2020-09-30T00:11:09.000Z
2021-10-04T13:00:38.000Z
ProgettoLube/WebInspector/venv/Lib/site-packages/tensorflow/_api/v2/compat/v1/train/queue_runner/__init__.py
Lube-Project/ProgettoLube
cbf33971e2c2e865783ec1a2302625539186a338
[ "MIT" ]
null
null
null
ProgettoLube/WebInspector/venv/Lib/site-packages/tensorflow/_api/v2/compat/v1/train/queue_runner/__init__.py
Lube-Project/ProgettoLube
cbf33971e2c2e865783ec1a2302625539186a338
[ "MIT" ]
1
2021-01-28T01:57:41.000Z
2021-01-28T01:57:41.000Z
# This file is MACHINE GENERATED! Do not edit. # Generated by: tensorflow/python/tools/api/generator/create_python_api.py script. """Public API for tf.train.queue_runner namespace. """ from __future__ import print_function as _print_function import sys as _sys from tensorflow.python.training.queue_runner_impl import QueueRunner from tensorflow.python.training.queue_runner_impl import add_queue_runner from tensorflow.python.training.queue_runner_impl import start_queue_runners del _print_function
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5
cb3fed21221487b9f7711ffff9e9f6e7723b92d9
11,732
py
Python
ProjectHelper/items/operations/models.py
MirrorChu/SUSTech-Project-Helper
7a3dad7f9ccc92adee411384057089fe89994d0a
[ "MIT" ]
1
2021-05-14T13:28:51.000Z
2021-05-14T13:28:51.000Z
ProjectHelper/items/operations/models.py
MirrorChu/SUSTech-Project-Helper
7a3dad7f9ccc92adee411384057089fe89994d0a
[ "MIT" ]
null
null
null
ProjectHelper/items/operations/models.py
MirrorChu/SUSTech-Project-Helper
7a3dad7f9ccc92adee411384057089fe89994d0a
[ "MIT" ]
null
null
null
from datetime import datetime from django.db import models from django.contrib.auth import get_user_model from items.users.models import BaseModel from items.groups.models import GroupOrg from items.courses.models import Course from items.projects.models import Project UserProfile = get_user_model() class Tag(BaseModel): tag = models.CharField(verbose_name="标签", max_length=50, default="") # 加分项:不同类型的标签相应的颜色不同 type = models.CharField(verbose_name="属性", max_length=50, default="") class Meta: verbose_name = "标签清单" verbose_name_plural = verbose_name def __str__(self): return self.tag # 以下记录的都是多对多的关系 # 记录每个人都有上哪些课 class UserCourse(BaseModel): user_name = models.ForeignKey(UserProfile, on_delete=models.CASCADE, verbose_name="用户名称") course_name = models.ForeignKey(Course, on_delete=models.CASCADE, verbose_name="所在课程的名称") lab = models.CharField(verbose_name="实验班名称", max_length=1) class Meta: verbose_name = "课程清单" verbose_name_plural = verbose_name def __str__(self): return self.user_name # 记录每个队有谁评论了什么,队伍成员也能在评论区发表内容 class UserComment(BaseModel): user_name = models.ForeignKey(UserProfile, on_delete=models.CASCADE, verbose_name="评论用户的名称") group_name = models.ForeignKey(GroupOrg, on_delete=models.CASCADE, verbose_name="被评论队伍的名称") comments = models.CharField(max_length=200, verbose_name="评论内容") class Meta: verbose_name = "队伍评论" verbose_name_plural = verbose_name def __str__(self): return self.group_name # 记录所有用户组队的信息,还没实现:限制一门课只能组一个队 class UserGroup(BaseModel): user_name = models.ForeignKey(UserProfile, on_delete=models.CASCADE, verbose_name="用户的名称") group_name = models.ForeignKey(GroupOrg, on_delete=models.CASCADE, verbose_name="已加入队伍的名称") class Meta: verbose_name = "组队情况" verbose_name_plural = verbose_name def __str__(self): return self.group_name class UserTag(BaseModel): user_name = models.ForeignKey(UserProfile, on_delete=models.CASCADE, verbose_name="用户名称") tag = models.ForeignKey(Tag, on_delete=models.CASCADE, verbose_name="标签") visibility = models.IntegerField(verbose_name="可见度", default=1) class Meta: verbose_name = "用户拥有的标签" verbose_name_plural = verbose_name def __str__(self): return self.user_name class UserLikeTag(BaseModel): user_name = models.ForeignKey(UserProfile, on_delete=models.CASCADE, verbose_name="用户名称") tag = models.ForeignKey(UserTag, on_delete=models.CASCADE, verbose_name="标签") class Meta: verbose_name = "用户点赞的标签" verbose_name_plural = verbose_name def __str__(self): return self.user_name # 记录每个项目发布页面下有谁评论了什么 class ProjectComment(BaseModel): user_name = models.ForeignKey(UserProfile, on_delete=models.CASCADE, verbose_name="评论用户的名称") project_name = models.ForeignKey(Project, on_delete=models.CASCADE, verbose_name="被评论项目的名称") comments = models.CharField(max_length=200, verbose_name="评论内容", default="") floor = models.CharField(max_length=200, verbose_name="类型", default="") class Meta: verbose_name = "项目评论" verbose_name_plural = verbose_name def __str__(self): return self.project_name class Event(BaseModel): publish_user = models.ForeignKey(UserProfile, on_delete=models.CASCADE, verbose_name="用户") project = models.ForeignKey(Project, on_delete=models.CASCADE, verbose_name="项目") type = models.CharField(max_length=200, verbose_name="类型", default="") parameter = models.TextField(max_length=65535, verbose_name="参数", default="") end_time = models.DateTimeField(default=datetime.now, verbose_name="截止日期") start_time = models.DateTimeField(default=datetime.now, verbose_name="开始日期") detail = models.TextField(max_length=65535, verbose_name="简介", default="") title = models.CharField(max_length=200, verbose_name="标题", default="") class Meta: verbose_name = "组件" verbose_name_plural = verbose_name def __str__(self): return self.project_id # 记录每个项目有什么附件 class ProjectAttachment(BaseModel): project = models.ForeignKey(Project, on_delete=models.CASCADE, verbose_name="项目") user = models.ForeignKey(UserProfile, on_delete=models.CASCADE, verbose_name="用户") group = models.ForeignKey(GroupOrg, on_delete=models.CASCADE, verbose_name="队伍") event = models.ForeignKey(Event, on_delete=models.CASCADE, verbose_name="组件") file_path = models.CharField(max_length=200, verbose_name="文件路径", default="") class Meta: verbose_name = "项目附件" verbose_name_plural = verbose_name def __str__(self): return self.project class Key(BaseModel): key_word = models.CharField(max_length=200, verbose_name="批次识别码", default="") class Meta: verbose_name = "老师上传项目附件key" verbose_name_plural = verbose_name def __str__(self): return self.project class ProjectFile(BaseModel): project = models.ForeignKey(Project, on_delete=models.CASCADE, verbose_name="项目") file_path = models.CharField(max_length=200, verbose_name="文件路径", default="") class Meta: verbose_name = "老师上传项目附件" verbose_name_plural = verbose_name def __str__(self): return self.project class EventGrades(BaseModel): event = models.ForeignKey(Event, on_delete=models.CASCADE, verbose_name="组件") user = models.ForeignKey(UserProfile, on_delete=models.CASCADE, verbose_name="用户") grade = models.FloatField(verbose_name="成绩", default=0) comment = models.TextField(verbose_name="评论", default="", max_length=65535) class Meta: verbose_name = "项目成绩" verbose_name_plural = verbose_name def __str__(self): return self.project class ProjectGrades(BaseModel): event = models.ForeignKey(Event, on_delete=models.CASCADE, verbose_name="组件") group = models.ForeignKey(GroupOrg, on_delete=models.CASCADE, verbose_name="队伍") grade = models.FloatField(verbose_name="成绩", default=0) comment = models.TextField(verbose_name="评论", default="", max_length=65535) class Meta: verbose_name = "小组项目成绩" verbose_name_plural = verbose_name def __str__(self): return self.project # class ProjectDDL(BaseModel): # project = models.ForeignKey(Project, on_delete=models.CASCADE, verbose_name="项目") # ddl = models.DateTimeField(default=datetime.now, verbose_name="截止日期") # type = models.CharField(max_length=200, verbose_name="类型", default="") # # class Meta: # verbose_name = "项目截止日期" # verbose_name_plural = verbose_name # # def __str__(self): # return self.project class ChooseEvent(BaseModel): event_id = models.ForeignKey(Event, on_delete=models.CASCADE, verbose_name="组件") choice = models.TextField(max_length=65535, verbose_name="选择", default="") group = models.ForeignKey(GroupOrg, on_delete=models.CASCADE, verbose_name="队伍") class Meta: verbose_name = "选择组件" verbose_name_plural = verbose_name def __str__(self): return self.event_id class ParticipantEvent(BaseModel): event_id = models.ForeignKey(Event, on_delete=models.CASCADE, verbose_name="组件") end_time = models.DateTimeField(default=datetime.now, verbose_name="截止日期") start_time = models.DateTimeField(default=datetime.now, verbose_name="开始日期") group = models.ForeignKey(GroupOrg, on_delete=models.CASCADE, verbose_name="队伍") class Meta: verbose_name = "时间选择组件" verbose_name_plural = verbose_name def __str__(self): return self.event_id class Authority(BaseModel): type = models.CharField(max_length=200, verbose_name="类型", default="") end_time = models.DateTimeField(default=datetime.now, verbose_name="截止日期") start_time = models.DateTimeField(default=datetime.now, verbose_name="开始日期") user = models.ForeignKey(UserProfile, on_delete=models.CASCADE, verbose_name="用户") course = models.ForeignKey(Course, on_delete=models.CASCADE, verbose_name="课程") class Meta: verbose_name = "权限" verbose_name_plural = verbose_name def __str__(self): return self.type class Annexation(BaseModel): a = models.CharField(max_length=200, verbose_name="a", default="") b = models.CharField(max_length=200, verbose_name="b", default="") c = models.CharField(max_length=200, verbose_name="c", default="") d = models.CharField(max_length=200, verbose_name="d", default="") e = models.CharField(max_length=200, verbose_name="e", default="") f = models.CharField(max_length=200, verbose_name="f", default="") g = models.CharField(max_length=200, verbose_name="g", default="") h = models.CharField(max_length=200, verbose_name="h", default="") i = models.CharField(max_length=200, verbose_name="i", default="") j = models.CharField(max_length=200, verbose_name="j", default="") class Meta: verbose_name = "Annexation" verbose_name_plural = verbose_name def __str__(self): return self.a # # 记录谁向另一个人发送了聊天消息 # class UserMessage(BaseModel): # receiver = models.ForeignKey(UserProfile, on_delete=models.CASCADE, verbose_name="接收方", default="") # sender = models.ForeignKey(UserProfile, on_delete=models.CASCADE, verbose_name="发送方", default="") # receiver_is_read = models.BooleanField(default=False, verbose_name="接收方是否已读") # sender_is_read = models.BooleanField(default=False, verbose_name="发送方是否已读") # content = models.TextField(verbose_name="内容", default="", max_length=65535) # send_time = models.DateTimeField(verbose_name="发送时间") # # class Meta: # verbose_name = "聊天消息" # verbose_name_plural = verbose_name # # def __str__(self): # return self.receiver # # # # 记录每个队都有谁申请加入 # class UserAsk(BaseModel): # receiver_group = models.ForeignKey(GroupOrg, on_delete=models.CASCADE, verbose_name="接收申请的队伍") # sender = models.ForeignKey(UserProfile, on_delete=models.CASCADE, verbose_name="发出申请的用户") # # receiver_group_is_read = models.BooleanField(default=False, verbose_name="接收方是否已读") # sender_is_read = models.BooleanField(default=False, verbose_name="发送方是否已读") # is_accepted = models.BooleanField(default=False, verbose_name="是否已接受") # # request_send_time = models.DateTimeField(verbose_name="申请发送时间") # request_receive_time = models.DateTimeField(verbose_name="申请接收时间") # # reply_send_time = models.DateTimeField(verbose_name="申请回复发送时间") # reply_receive_time = models.DateTimeField(verbose_name="申请回复接收时间") # # class Meta: # verbose_name = "组队申请" # verbose_name_plural = verbose_name # # def __str__(self): # return self.receiver_group # # # # 记录每个队都有谁申请加入 # class UserInvite(BaseModel): # receiver = models.ForeignKey(UserProfile, on_delete=models.CASCADE, verbose_name="接收邀请的用户") # sender_group = models.ForeignKey(GroupOrg, on_delete=models.CASCADE, verbose_name="发出邀请的用户") # # receiver_is_read = models.BooleanField(default=False, verbose_name="接收方是否已读") # sender_group_is_read = models.BooleanField(default=False, verbose_name="发送方是否已读") # is_accepted = models.BooleanField(default=False, verbose_name="是否已接受") # # request_send_time = models.DateTimeField(verbose_name="邀请发送时间") # request_receive_time = models.DateTimeField(verbose_name="邀请接收时间") # # reply_send_time = models.DateTimeField(verbose_name="申请回复发送时间") # reply_receive_time = models.DateTimeField(verbose_name="申请回复接收时间") # # class Meta: # verbose_name = "组队邀请" # verbose_name_plural = verbose_name # # def __str__(self): # return self.receiver
35.659574
105
0.717354
1,416
11,732
5.663842
0.133475
0.212594
0.062843
0.094264
0.807107
0.788404
0.783666
0.691397
0.684913
0.650873
0
0.010028
0.166979
11,732
329
106
35.659574
0.810601
0.258353
0
0.554286
0
0
0.032486
0
0
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0.097143
false
0
0.04
0.097143
0.8
0
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null
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0
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0
0
0
0
0
0
0
0
0
0
5
cb6f369a891a417f3ad45d57a8600daf86e53969
30
py
Python
fairways/io/asyn/__init__.py
dan-win/fairways_py
771623c6f9ec40e8016b5cebb7951613d01e31f7
[ "Apache-2.0" ]
null
null
null
fairways/io/asyn/__init__.py
dan-win/fairways_py
771623c6f9ec40e8016b5cebb7951613d01e31f7
[ "Apache-2.0" ]
null
null
null
fairways/io/asyn/__init__.py
dan-win/fairways_py
771623c6f9ec40e8016b5cebb7951613d01e31f7
[ "Apache-2.0" ]
null
null
null
# from ..generic.dbi import *
15
29
0.666667
4
30
5
1
0
0
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0
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0
0
0.166667
30
1
30
30
0.8
0.9
0
null
0
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null
true
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0
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0
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1
0
0
0
0
0
0
5
cb8801e95a6a86303309f2fa07eaee12771e99f9
39
py
Python
src/crud/__init__.py
superb-dev/mermaid-test
bb63a375a68923b35008d75290f55b67b529bfd5
[ "MIT" ]
3
2021-03-04T07:44:04.000Z
2021-12-06T03:45:58.000Z
src/crud/__init__.py
superb-dev/wallet-fastapi-dynamodb
bb63a375a68923b35008d75290f55b67b529bfd5
[ "MIT" ]
2
2021-02-13T06:37:47.000Z
2021-02-13T13:17:56.000Z
src/crud/__init__.py
superb-dev/wallet-fastapi-dynamodb
bb63a375a68923b35008d75290f55b67b529bfd5
[ "MIT" ]
null
null
null
from crud.wallet import Wallet # noqa
19.5
38
0.769231
6
39
5
0.833333
0
0
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0
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0
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0.179487
39
1
39
39
0.9375
0.102564
0
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true
0
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0
0
0
0
5
cbd0c1257fac12edaf2145737b32b2625c935f41
102
py
Python
Python Codewars Answers/sum of intervals.py
OreOlad/github-slideshow
6c4ef5df6971e3dbd79c9ef7cbb141b2ff682006
[ "MIT" ]
null
null
null
Python Codewars Answers/sum of intervals.py
OreOlad/github-slideshow
6c4ef5df6971e3dbd79c9ef7cbb141b2ff682006
[ "MIT" ]
4
2020-05-14T15:28:52.000Z
2021-09-28T02:43:53.000Z
Python Codewars Answers/sum of intervals.py
OreOlad/github-slideshow
6c4ef5df6971e3dbd79c9ef7cbb141b2ff682006
[ "MIT" ]
null
null
null
def sum_of_intervals(intervals): return len(set(i for x in intervals for i in range(x[0], x[1])))
34
68
0.696078
21
102
3.285714
0.666667
0
0
0
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0.023529
0.166667
102
2
69
51
0.788235
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0
0
0
1
1
0
0
5
cbd3641007499681a5536e76412abbc415606f22
236
py
Python
state_machine.py
smirok/Deadline-helper-bot
1dd33b234c0ad1b1955c4eefc63306c9b3fb3e49
[ "MIT" ]
1
2022-03-28T10:14:06.000Z
2022-03-28T10:14:06.000Z
state_machine.py
smirok/Deadline-helper-bot
1dd33b234c0ad1b1955c4eefc63306c9b3fb3e49
[ "MIT" ]
null
null
null
state_machine.py
smirok/Deadline-helper-bot
1dd33b234c0ad1b1955c4eefc63306c9b3fb3e49
[ "MIT" ]
null
null
null
from aiogram.dispatcher.filters.state import State, StatesGroup class StateMachine(StatesGroup): waiting_for_subject = State() waiting_for_task = State() waiting_for_old_record = State() waiting_for_new_date = State()
26.222222
63
0.762712
29
236
5.862069
0.586207
0.235294
0.264706
0
0
0
0
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0.15678
236
8
64
29.5
0.854271
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false
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5
1db1c8ea059567d135db65d8ce774039bc1959d4
47
py
Python
mmskeleton/__init__.py
Hunkzer/mmskeleton
551e3b4fa01330b23caab5815a40fbd848400b15
[ "Apache-2.0" ]
null
null
null
mmskeleton/__init__.py
Hunkzer/mmskeleton
551e3b4fa01330b23caab5815a40fbd848400b15
[ "Apache-2.0" ]
null
null
null
mmskeleton/__init__.py
Hunkzer/mmskeleton
551e3b4fa01330b23caab5815a40fbd848400b15
[ "Apache-2.0" ]
null
null
null
from .datasets.skeleton import skeleton_process
47
47
0.893617
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47
6.833333
0.833333
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47
1
47
47
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0
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0
5
1db3ddfb49a2c8a0ef616f59e3fa94e6e990aab6
94
py
Python
webnovel/api/__init__.py
mHaisham/webnovelscraper
c094b21014fe538a36d28722291174549de8ca54
[ "Apache-2.0" ]
6
2020-12-09T08:30:38.000Z
2021-05-11T20:30:56.000Z
webnovel/api/__init__.py
mHaisham/webnovelscraper
c094b21014fe538a36d28722291174549de8ca54
[ "Apache-2.0" ]
1
2022-02-22T17:11:09.000Z
2022-02-22T17:11:09.000Z
webnovel/api/__init__.py
mHaisham/webnovelscraper
c094b21014fe538a36d28722291174549de8ca54
[ "Apache-2.0" ]
1
2021-02-23T15:46:28.000Z
2021-02-23T15:46:28.000Z
from .base import BaseApi from .html import HtmlApi from .parsed import UnlockType, ParsedApi
23.5
41
0.819149
13
94
5.923077
0.692308
0
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94
3
42
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5
1dc1bc8a26238d0ed03f995b269f6232955a068f
225
py
Python
omnizart/transcribe_all.py
nicolasanjoran/omnizart
b0e74af39b2e3a312ef32dbf0837626b2e043cb6
[ "MIT" ]
1,145
2020-11-13T10:07:47.000Z
2022-03-29T17:35:36.000Z
omnizart/transcribe_all.py
nicolasanjoran/omnizart
b0e74af39b2e3a312ef32dbf0837626b2e043cb6
[ "MIT" ]
44
2020-12-29T04:51:16.000Z
2022-03-15T06:52:04.000Z
omnizart/transcribe_all.py
nicolasanjoran/omnizart
b0e74af39b2e3a312ef32dbf0837626b2e043cb6
[ "MIT" ]
61
2020-12-19T09:09:42.000Z
2022-03-23T01:26:22.000Z
# import pretty_midi # from omnizart.music import app as music_app # from omnizart.drum import app as drum_app # from omnizart.chord import app as chord_app def process(input_audio, model_path=None, output="./"): pass
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1df0f076e8edaf914d87c670e4935a922c169ebf
96
py
Python
olive/devices/error/sensor.py
liuyenting/olive-core
b532b29e29fe9f167369f66b8d922f5f644f9309
[ "Apache-2.0" ]
null
null
null
olive/devices/error/sensor.py
liuyenting/olive-core
b532b29e29fe9f167369f66b8d922f5f644f9309
[ "Apache-2.0" ]
null
null
null
olive/devices/error/sensor.py
liuyenting/olive-core
b532b29e29fe9f167369f66b8d922f5f644f9309
[ "Apache-2.0" ]
null
null
null
from .base import DeviceError class SensorError(DeviceError): """Generic sensor error."""
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188
py
Python
registration/urls.py
allenallen/intered-web
1dfed88081f38df6cef2d873cd3c6f6fee31dffd
[ "MIT" ]
null
null
null
registration/urls.py
allenallen/intered-web
1dfed88081f38df6cef2d873cd3c6f6fee31dffd
[ "MIT" ]
null
null
null
registration/urls.py
allenallen/intered-web
1dfed88081f38df6cef2d873cd3c6f6fee31dffd
[ "MIT" ]
null
null
null
from django.conf.urls import url from django.urls import path, include from . import views # urlpatterns = [ # path('register/<str:uuid>', views.registration, name='register'), # ]
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py
Python
src/test/test_sources.py
RLReed/unotran
b317107e1a39490dda732f86a731872f5207a167
[ "MIT" ]
null
null
null
src/test/test_sources.py
RLReed/unotran
b317107e1a39490dda732f86a731872f5207a167
[ "MIT" ]
null
null
null
src/test/test_sources.py
RLReed/unotran
b317107e1a39490dda732f86a731872f5207a167
[ "MIT" ]
3
2019-12-02T23:01:24.000Z
2022-01-26T04:48:41.000Z
import sys sys.path.append('../') import unittest import pydgm import numpy as np class TestSOURCES(unittest.TestCase): def setUp(self): # Set the variables for the test pydgm.control.spatial_dimension = 1 pydgm.control.fine_mesh_x = [1] pydgm.control.coarse_mesh_x = [0.0, 1.0] pydgm.control.material_map = [1] pydgm.control.xs_name = 'test/3gXS.anlxs'.ljust(256) pydgm.control.angle_order = 2 pydgm.control.angle_option = pydgm.angle.gl pydgm.control.boundary_east = 1.0 pydgm.control.boundary_west = 1.0 pydgm.control.boundary_type = [1.0, 1.0] pydgm.control.allow_fission = True pydgm.control.outer_print = False pydgm.control.outer_tolerance = 1e-14 pydgm.control.equation_type = 'DD' pydgm.control.lamb = 1.0 pydgm.control.store_psi = False pydgm.control.solver_type = 'fixed'.ljust(256) pydgm.control.source_value = 1.0 pydgm.control.scatter_leg_order = 0 pydgm.control.use_dgm = False # Initialize the dependancies pydgm.solver.initialize_solver() def test_compute_source(self): test = [0.652227008050471, 0.500051646579093, 0.5] pydgm.sources.compute_source() for g in range(3): with self.subTest(g=g): source = pydgm.state.mg_source[g] np.testing.assert_array_almost_equal(source, test[g], 12, 'Failed for g={}'.format(g + 1)) def tearDown(self): pydgm.solver.finalize_solver() pydgm.control.finalize_control() class TestSOURCES_2D(unittest.TestCase): def setUp(self): # Set the variables for the test pydgm.control.spatial_dimension = 2 pydgm.control.fine_mesh_x = [1] pydgm.control.fine_mesh_y = [1] pydgm.control.coarse_mesh_x = [0.0, 1.0] pydgm.control.coarse_mesh_y = [0.0, 1.0] pydgm.control.material_map = [1] pydgm.control.xs_name = 'test/1gXS.anlxs'.ljust(256) pydgm.control.boundary_east = 0.0 pydgm.control.boundary_west = 0.0 pydgm.control.boundary_north = 0.0 pydgm.control.boundary_south = 0.0 pydgm.control.angle_order = 2 pydgm.control.angle_option = pydgm.angle.gl pydgm.control.allow_fission = True pydgm.control.outer_print = False pydgm.control.outer_tolerance = 1e-14 pydgm.control.equation_type = 'DD' pydgm.control.lamb = 1.0 pydgm.control.store_psi = False pydgm.control.solver_type = 'fixed'.ljust(256) pydgm.control.source_value = 1.0 pydgm.control.scatter_leg_order = 1 pydgm.control.use_dgm = False # Initialize the dependancies pydgm.solver.initialize_solver() def test_compute_source(self): test = [(1.0 + 0.5) / (2 * np.pi)] pydgm.sources.compute_source() source = pydgm.state.mg_source[0] np.testing.assert_array_almost_equal(source, test, 12) test = np.array([0.3, 0.2, 0.2, 0.2]) / (2 * np.pi) np.testing.assert_array_almost_equal(pydgm.state.sigphi.flatten(), test, 12) def tearDown(self): pydgm.solver.finalize_solver() pydgm.control.finalize_control() class TestSOURCESdgm(unittest.TestCase): def setUp(self): # Set the variables for the test pydgm.control.spatial_dimension = 1 pydgm.control.fine_mesh_x = [1] pydgm.control.coarse_mesh_x = [0.0, 1.0] pydgm.control.material_map = [1] pydgm.control.angle_order = 2 pydgm.control.angle_option = pydgm.angle.gl pydgm.control.boundary_type = [1.0, 1.0] pydgm.control.allow_fission = True pydgm.control.outer_print = False pydgm.control.inner_print = False pydgm.control.outer_tolerance = 1e-14 pydgm.control.inner_tolerance = 1e-14 pydgm.control.equation_type = 'DD' pydgm.control.lamb = 1.0 pydgm.control.store_psi = True pydgm.control.solver_type = 'fixed'.ljust(256) pydgm.control.source_value = 1.0 pydgm.control.scatter_leg_order = 0 pydgm.control.use_dgm = True pydgm.control.xs_name = 'test/4gXS.anlxs'.ljust(256) pydgm.control.energy_group_map = [1, 1, 2, 2] pydgm.control.dgm_basis_name = 'test/4gbasis'.ljust(256) # Initialize the dependancies pydgm.dgmsolver.initialize_dgmsolver() pydgm.dgmsolver.compute_flux_moments() pydgm.state.mg_phi = pydgm.dgm.phi_m[0] pydgm.dgmsolver.compute_xs_moments() pydgm.dgmsolver.slice_xs_moments(0) pydgm.state.update_fission_density() def test_compute_source(self): test = [0.727975095456, 0.707343815354] pydgm.sources.compute_source() for g in range(2): with self.subTest(g=g): source = pydgm.state.mg_source[g] np.testing.assert_array_almost_equal(source, test[g], 12, 'Failed for g={}'.format(g + 1)) def tearDown(self): pydgm.dgmsolver.finalize_dgmsolver() pydgm.control.finalize_control() if __name__ == '__main__': unittest.main()
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344
py
Python
flask_atomic/orm/mixins/columns.py
kmjbyrne/flask-kbpc
859ea26146ea69cfff7699c75a0612388b84c756
[ "MIT" ]
null
null
null
flask_atomic/orm/mixins/columns.py
kmjbyrne/flask-kbpc
859ea26146ea69cfff7699c75a0612388b84c756
[ "MIT" ]
3
2020-05-29T01:28:25.000Z
2021-04-30T21:05:42.000Z
flask_atomic/orm/mixins/columns.py
kmjbyrne/flask-kbpc
859ea26146ea69cfff7699c75a0612388b84c756
[ "MIT" ]
null
null
null
from sqlalchemy import Column from sqlalchemy import Integer from sqlalchemy import DateTime from sqlalchemy import func class PrimaryKeyMixin: id = Column(Integer, primary_key=True) class CreationTimestampMixin: created = Column(DateTime, default=func.now()) class UpdateMixin: updated = Column(DateTime, default=func.now())
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384c6a9d8631ba2c2242a8885677dca37dbff362
223
py
Python
testing/slides/examples/fixtures/test_fixtures.py
ramosmaria/school2021
3e162a05767bbc8fa6ce3f92c858d1bd639fee16
[ "MIT" ]
252
2021-05-18T11:58:17.000Z
2022-03-12T06:48:52.000Z
testing/slides/examples/fixtures/test_fixtures.py
ramosmaria/school2021
3e162a05767bbc8fa6ce3f92c858d1bd639fee16
[ "MIT" ]
44
2021-05-21T14:28:34.000Z
2021-07-12T22:36:06.000Z
testing/slides/examples/fixtures/test_fixtures.py
ramosmaria/school2021
3e162a05767bbc8fa6ce3f92c858d1bd639fee16
[ "MIT" ]
128
2021-05-24T18:32:54.000Z
2022-03-26T11:24:16.000Z
import pytest @pytest.fixture(scope='session') def some_data(): return [1, 2, 3] def test_using_fixture(some_data): assert len(some_data) == 3 def test_also_using_fixture(some_data): assert some_data[0] == 1
18.583333
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4.138889
0.5
0.268456
0.107383
0.268456
0.348993
0
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0
0.032086
0.161435
223
11
40
20.272727
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5
698f0d389ad7717244da51971a9ca95ac873c40f
38
py
Python
cupy_alias/sparse/dia.py
fixstars/clpy
693485f85397cc110fa45803c36c30c24c297df0
[ "BSD-3-Clause" ]
142
2018-06-07T07:43:10.000Z
2021-10-30T21:06:32.000Z
cupy_alias/sparse/dia.py
fixstars/clpy
693485f85397cc110fa45803c36c30c24c297df0
[ "BSD-3-Clause" ]
282
2018-06-07T08:35:03.000Z
2021-03-31T03:14:32.000Z
cupy_alias/sparse/dia.py
fixstars/clpy
693485f85397cc110fa45803c36c30c24c297df0
[ "BSD-3-Clause" ]
19
2018-06-19T11:07:53.000Z
2021-05-13T20:57:04.000Z
from clpy.sparse.dia import * # NOQA
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37
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4.5
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py
Python
{{cookiecutter.repo_name}}/{{cookiecutter.module_name}}/{{cookiecutter.module_name}}.py
mpgomez/python_package_cookiecutter
a6152fb0fedf8f54d2427c975cdabef9aaff27f3
[ "Apache-2.0" ]
1
2019-10-09T18:32:27.000Z
2019-10-09T18:32:27.000Z
{{cookiecutter.repo_name}}/{{cookiecutter.module_name}}/{{cookiecutter.module_name}}.py
mpgomez/python_package_cookiecutter
a6152fb0fedf8f54d2427c975cdabef9aaff27f3
[ "Apache-2.0" ]
4
2019-10-09T18:29:50.000Z
2020-10-12T08:25:59.000Z
{{cookiecutter.repo_name}}/{{cookiecutter.module_name}}/{{cookiecutter.module_name}}.py
mpgomez/python_package_cookiecutter
a6152fb0fedf8f54d2427c975cdabef9aaff27f3
[ "Apache-2.0" ]
null
null
null
import sys def main(): print("Run arguments: {}", sys.argv[1:])
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5
69a6c45f193f842b8e440a9e98814d1d3f26459d
202
py
Python
otello/__init__.py
hysds/otello
c32cb7c3c85039bf476ff6002206764ded8e6fc7
[ "Apache-2.0" ]
null
null
null
otello/__init__.py
hysds/otello
c32cb7c3c85039bf476ff6002206764ded8e6fc7
[ "Apache-2.0" ]
4
2021-01-27T07:48:38.000Z
2021-09-15T17:56:31.000Z
otello/__init__.py
hysds/otello
c32cb7c3c85039bf476ff6002206764ded8e6fc7
[ "Apache-2.0" ]
null
null
null
import urllib3 from otello.ci import CI from otello.mozart import Mozart, Job, JobType, JobSet from otello.client import initialize urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
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369
py
Python
__init__.py
Michany/pycing
761c3cd1a887d6a168909abc107c6ea0d80992d3
[ "MIT" ]
null
null
null
__init__.py
Michany/pycing
761c3cd1a887d6a168909abc107c6ea0d80992d3
[ "MIT" ]
1
2020-02-12T15:12:41.000Z
2020-02-12T15:13:34.000Z
__init__.py
Michany/pycing
761c3cd1a887d6a168909abc107c6ea0d80992d3
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- """ ----------------------- @Author Michael Wang @GitHub Michany @Website michany.xyz ----------------------- Created on Tue Jul 2 22:17:10 2019 """ from .core.simulator import Simulator from .core.derivative import Derivative from pycing.option.european import * from pycing.option.asian import * from pycing.option.barrier import *
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69d2bf80798236da705fa3d980fdb6e3b58cb177
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py
Python
jybase/__init__.py
cnds/wxdemo
a445ea19ccd0b47caf6ea94e1ddec2ce3faf7d5e
[ "MIT" ]
null
null
null
jybase/__init__.py
cnds/wxdemo
a445ea19ccd0b47caf6ea94e1ddec2ce3faf7d5e
[ "MIT" ]
null
null
null
jybase/__init__.py
cnds/wxdemo
a445ea19ccd0b47caf6ea94e1ddec2ce3faf7d5e
[ "MIT" ]
null
null
null
from .database import MongoBase, RedisBase from .authentication_base import AuthenticationBase
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3856160d49204db6d0d2e2e73b98029625d2b4f8
131
py
Python
my_module.py
njmiska/ibl_code_camp_tutorials
7f79dd0a1a81afcaa468d6af58fa681cc510c6c3
[ "MIT" ]
null
null
null
my_module.py
njmiska/ibl_code_camp_tutorials
7f79dd0a1a81afcaa468d6af58fa681cc510c6c3
[ "MIT" ]
null
null
null
my_module.py
njmiska/ibl_code_camp_tutorials
7f79dd0a1a81afcaa468d6af58fa681cc510c6c3
[ "MIT" ]
null
null
null
print('Hello World!') print("Here's something interesting:\n") # Add lines here, let's make this script do something ineterting!!
32.75
67
0.740458
20
131
4.85
0.8
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131
3
68
43.666667
0.850877
0.48855
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1
0
0
0
0
1
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5
385e1480eb436fc4af7587811d3838718171d54b
129
py
Python
1024 Pair and Triples.py
ansabgillani/binarysearchcomproblems
12fe8632f8cbb5058c91a55bae53afa813a3247e
[ "MIT" ]
1
2020-12-29T21:17:26.000Z
2020-12-29T21:17:26.000Z
1024 Pair and Triples.py
ansabgillani/binarysearchcomproblems
12fe8632f8cbb5058c91a55bae53afa813a3247e
[ "MIT" ]
null
null
null
1024 Pair and Triples.py
ansabgillani/binarysearchcomproblems
12fe8632f8cbb5058c91a55bae53afa813a3247e
[ "MIT" ]
4
2021-09-09T17:42:43.000Z
2022-03-18T04:54:03.000Z
class Solution: def solve(self, s): return sum(3 if count%3 == 1 else count%3 for count in Counter(s).values()) == 2
32.25
88
0.620155
23
129
3.478261
0.782609
0.15
0
0
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0
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0
0.05102
0.24031
129
3
89
43
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0.333333
false
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null
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0
0
1
0
0
0
1
1
0
0
5
385e7f6c5a1de0865a7ecbeaffe40bcdab410798
66
py
Python
07_moduly_i_pakiety/rocket/funkcje/stats.py
krakowiakpawel9/python_kurs
7e532a6acb135c352834e03d34512270538ec209
[ "MIT" ]
17
2020-04-08T11:20:57.000Z
2022-03-15T16:49:37.000Z
07_moduly_i_pakiety/rocket/funkcje/stats.py
brownmilleryt/python_kurs
7e532a6acb135c352834e03d34512270538ec209
[ "MIT" ]
null
null
null
07_moduly_i_pakiety/rocket/funkcje/stats.py
brownmilleryt/python_kurs
7e532a6acb135c352834e03d34512270538ec209
[ "MIT" ]
19
2019-12-08T18:59:44.000Z
2022-03-02T19:09:48.000Z
# -*- coding: utf-8 -*- def mean(x): return sum(x) / len(x)
11
26
0.484848
11
66
2.909091
0.818182
0
0
0
0
0
0
0
0
0
0
0.020408
0.257576
66
5
27
13.2
0.632653
0.318182
0
0
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0
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0
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1
0.5
false
0
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1
0
1
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null
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null
0
0
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0
1
0
0
0
1
1
0
0
5
38b50b053d432d3e2b605efbfd1d097ff2e59c7e
138
py
Python
mechroutines/pf/ktp/__init__.py
sjklipp/mechdriver
17c3d9bc82116954b331955e87a60e9adc5e1de9
[ "Apache-2.0" ]
null
null
null
mechroutines/pf/ktp/__init__.py
sjklipp/mechdriver
17c3d9bc82116954b331955e87a60e9adc5e1de9
[ "Apache-2.0" ]
null
null
null
mechroutines/pf/ktp/__init__.py
sjklipp/mechdriver
17c3d9bc82116954b331955e87a60e9adc5e1de9
[ "Apache-2.0" ]
null
null
null
""" rate stuff """ from mechroutines.pf.ktp import rates from mechroutines.pf.ktp import label __all__ = [ 'rates', 'label', ]
11.5
37
0.652174
17
138
5.058824
0.588235
0.372093
0.418605
0.488372
0.627907
0
0
0
0
0
0
0
0.210145
138
11
38
12.545455
0.788991
0.072464
0
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0.083333
0
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1
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false
0
0.333333
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0
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null
1
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1
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null
0
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0
0
0
0
1
0
0
0
0
5
2a0f4a5db472cfe3cb81e0ad5ba0462d95bc8a38
180
py
Python
app/user/views.py
joiller/flask_blog
c7eb2846a63ede03a83b46bd59f463da4393a9f1
[ "Apache-2.0" ]
null
null
null
app/user/views.py
joiller/flask_blog
c7eb2846a63ede03a83b46bd59f463da4393a9f1
[ "Apache-2.0" ]
null
null
null
app/user/views.py
joiller/flask_blog
c7eb2846a63ede03a83b46bd59f463da4393a9f1
[ "Apache-2.0" ]
null
null
null
# 针对用户业务逻辑处理的视图和路由的定义 from flask import render_template from . import user from .. import db from ..models import * @user.route('/user') def user_index(): return '这是user的首页'
16.363636
33
0.733333
23
180
5.652174
0.608696
0.153846
0
0
0
0
0
0
0
0
0
0
0.161111
180
10
34
18
0.860927
0.105556
0
0
0
0
0.08805
0
0
0
0
0
0
1
0.142857
true
0
0.571429
0.142857
0.857143
0
1
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0
null
0
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null
0
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1
1
1
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5