hexsha string | size int64 | ext string | lang string | max_stars_repo_path string | max_stars_repo_name string | max_stars_repo_head_hexsha string | max_stars_repo_licenses list | max_stars_count int64 | max_stars_repo_stars_event_min_datetime string | max_stars_repo_stars_event_max_datetime string | max_issues_repo_path string | max_issues_repo_name string | max_issues_repo_head_hexsha string | max_issues_repo_licenses list | max_issues_count int64 | max_issues_repo_issues_event_min_datetime string | max_issues_repo_issues_event_max_datetime string | max_forks_repo_path string | max_forks_repo_name string | max_forks_repo_head_hexsha string | max_forks_repo_licenses list | max_forks_count int64 | max_forks_repo_forks_event_min_datetime string | max_forks_repo_forks_event_max_datetime string | content string | avg_line_length float64 | max_line_length int64 | alphanum_fraction float64 | qsc_code_num_words_quality_signal int64 | qsc_code_num_chars_quality_signal float64 | qsc_code_mean_word_length_quality_signal float64 | qsc_code_frac_words_unique_quality_signal float64 | qsc_code_frac_chars_top_2grams_quality_signal float64 | qsc_code_frac_chars_top_3grams_quality_signal float64 | qsc_code_frac_chars_top_4grams_quality_signal float64 | qsc_code_frac_chars_dupe_5grams_quality_signal float64 | qsc_code_frac_chars_dupe_6grams_quality_signal float64 | qsc_code_frac_chars_dupe_7grams_quality_signal float64 | qsc_code_frac_chars_dupe_8grams_quality_signal float64 | qsc_code_frac_chars_dupe_9grams_quality_signal float64 | qsc_code_frac_chars_dupe_10grams_quality_signal float64 | qsc_code_frac_chars_replacement_symbols_quality_signal float64 | qsc_code_frac_chars_digital_quality_signal float64 | qsc_code_frac_chars_whitespace_quality_signal float64 | qsc_code_size_file_byte_quality_signal float64 | qsc_code_num_lines_quality_signal float64 | qsc_code_num_chars_line_max_quality_signal float64 | qsc_code_num_chars_line_mean_quality_signal float64 | qsc_code_frac_chars_alphabet_quality_signal float64 | qsc_code_frac_chars_comments_quality_signal float64 | qsc_code_cate_xml_start_quality_signal float64 | qsc_code_frac_lines_dupe_lines_quality_signal float64 | qsc_code_cate_autogen_quality_signal float64 | qsc_code_frac_lines_long_string_quality_signal float64 | qsc_code_frac_chars_string_length_quality_signal float64 | qsc_code_frac_chars_long_word_length_quality_signal float64 | qsc_code_frac_lines_string_concat_quality_signal float64 | qsc_code_cate_encoded_data_quality_signal float64 | qsc_code_frac_chars_hex_words_quality_signal float64 | qsc_code_frac_lines_prompt_comments_quality_signal float64 | qsc_code_frac_lines_assert_quality_signal float64 | qsc_codepython_cate_ast_quality_signal float64 | qsc_codepython_frac_lines_func_ratio_quality_signal float64 | qsc_codepython_cate_var_zero_quality_signal bool | qsc_codepython_frac_lines_pass_quality_signal float64 | qsc_codepython_frac_lines_import_quality_signal float64 | qsc_codepython_frac_lines_simplefunc_quality_signal float64 | qsc_codepython_score_lines_no_logic_quality_signal float64 | qsc_codepython_frac_lines_print_quality_signal float64 | qsc_code_num_words int64 | qsc_code_num_chars int64 | qsc_code_mean_word_length int64 | qsc_code_frac_words_unique null | qsc_code_frac_chars_top_2grams int64 | qsc_code_frac_chars_top_3grams int64 | qsc_code_frac_chars_top_4grams int64 | qsc_code_frac_chars_dupe_5grams int64 | qsc_code_frac_chars_dupe_6grams int64 | qsc_code_frac_chars_dupe_7grams int64 | qsc_code_frac_chars_dupe_8grams int64 | qsc_code_frac_chars_dupe_9grams int64 | qsc_code_frac_chars_dupe_10grams int64 | qsc_code_frac_chars_replacement_symbols int64 | qsc_code_frac_chars_digital int64 | qsc_code_frac_chars_whitespace int64 | qsc_code_size_file_byte int64 | qsc_code_num_lines int64 | qsc_code_num_chars_line_max int64 | qsc_code_num_chars_line_mean int64 | qsc_code_frac_chars_alphabet int64 | qsc_code_frac_chars_comments int64 | qsc_code_cate_xml_start int64 | qsc_code_frac_lines_dupe_lines int64 | qsc_code_cate_autogen int64 | qsc_code_frac_lines_long_string int64 | qsc_code_frac_chars_string_length int64 | qsc_code_frac_chars_long_word_length int64 | qsc_code_frac_lines_string_concat null | qsc_code_cate_encoded_data int64 | qsc_code_frac_chars_hex_words int64 | qsc_code_frac_lines_prompt_comments int64 | qsc_code_frac_lines_assert int64 | qsc_codepython_cate_ast int64 | qsc_codepython_frac_lines_func_ratio int64 | qsc_codepython_cate_var_zero int64 | qsc_codepython_frac_lines_pass int64 | qsc_codepython_frac_lines_import int64 | qsc_codepython_frac_lines_simplefunc int64 | qsc_codepython_score_lines_no_logic int64 | qsc_codepython_frac_lines_print int64 | effective string | hits int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
4dd256c4f089e9ad67a06acbe8f272e2a293bfe0 | 94 | py | Python | release/stubs.min/Tekla/Structures/ModelInternal_parts/dotPolymeshValidateInvalidInfo_t.py | htlcnn/ironpython-stubs | 780d829e2104b2789d5f4d6f32b0ec9f2930ca03 | [
"MIT"
] | 182 | 2017-06-27T02:26:15.000Z | 2022-03-30T18:53:43.000Z | release/stubs.min/Tekla/Structures/ModelInternal_parts/dotPolymeshValidateInvalidInfo_t.py | htlcnn/ironpython-stubs | 780d829e2104b2789d5f4d6f32b0ec9f2930ca03 | [
"MIT"
] | 28 | 2017-06-27T13:38:23.000Z | 2022-03-15T11:19:44.000Z | release/stubs.min/Tekla/Structures/ModelInternal_parts/dotPolymeshValidateInvalidInfo_t.py | htlcnn/ironpython-stubs | 780d829e2104b2789d5f4d6f32b0ec9f2930ca03 | [
"MIT"
] | 67 | 2017-06-28T09:43:59.000Z | 2022-03-20T21:17:10.000Z | class dotPolymeshValidateInvalidInfo_t(object):
# no doc
ClientId=None
nInvalidFaces=None
| 15.666667 | 47 | 0.819149 | 10 | 94 | 7.6 | 0.9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.117021 | 94 | 5 | 48 | 18.8 | 0.915663 | 0.06383 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
4de41394c9e4f0e77736d64e08a2a321e52d6fba | 2,276 | py | Python | test/test_data_processing_agreements_api.py | My-Data-My-Consent/python-sdk | 414640bcda6350e6f5e74e42442737eb8d5b7447 | [
"Apache-2.0"
] | null | null | null | test/test_data_processing_agreements_api.py | My-Data-My-Consent/python-sdk | 414640bcda6350e6f5e74e42442737eb8d5b7447 | [
"Apache-2.0"
] | 5 | 2021-12-19T10:29:43.000Z | 2022-03-31T22:15:37.000Z | test/test_data_processing_agreements_api.py | mydatamyconsent/python-sdk | 414640bcda6350e6f5e74e42442737eb8d5b7447 | [
"Apache-2.0"
] | null | null | null | """
My Data My Consent - Developer API
Unleashing the power of data consent by establishing trust. The Platform Core Developer API defines a set of capabilities that can be used to request, issue, manage and update data, documents and credentials by organizations. The API can be used to request, manage and update Decentralised Identifiers, Financial Data, Health Data issue Documents, Credentials directly or using OpenID Connect flows, and verify Messages signed with DIDs and much more. # noqa: E501
The version of the OpenAPI document: v1
Contact: support@mydatamyconsent.com
Generated by: https://openapi-generator.tech
"""
import unittest
import com.mydatamyconsent
from com.mydatamyconsent.api.data_processing_agreements_api import DataProcessingAgreementsApi # noqa: E501
class TestDataProcessingAgreementsApi(unittest.TestCase):
"""DataProcessingAgreementsApi unit test stubs"""
def setUp(self):
self.api = DataProcessingAgreementsApi() # noqa: E501
def tearDown(self):
pass
def test_v1_data_agreements_get(self):
"""Test case for v1_data_agreements_get
Get all data processing agreements. # noqa: E501
"""
pass
def test_v1_data_agreements_id_delete(self):
"""Test case for v1_data_agreements_id_delete
Delete a data processing agreement. This will not delete a published or a agreement in use with consents. # noqa: E501
"""
pass
def test_v1_data_agreements_id_get(self):
"""Test case for v1_data_agreements_id_get
Get data processing agreement by Id. # noqa: E501
"""
pass
def test_v1_data_agreements_id_put(self):
"""Test case for v1_data_agreements_id_put
Update a data processing agreement. # noqa: E501
"""
pass
def test_v1_data_agreements_id_terminate_put(self):
"""Test case for v1_data_agreements_id_terminate_put
Terminate a data processing agreement. # noqa: E501
"""
pass
def test_v1_data_agreements_post(self):
"""Test case for v1_data_agreements_post
Create a data processing agreement. # noqa: E501
"""
pass
if __name__ == '__main__':
unittest.main()
| 31.611111 | 469 | 0.703427 | 292 | 2,276 | 5.267123 | 0.342466 | 0.046814 | 0.124837 | 0.093628 | 0.373862 | 0.338752 | 0.307542 | 0.263979 | 0.197009 | 0.076723 | 0 | 0.022989 | 0.235501 | 2,276 | 71 | 470 | 32.056338 | 0.86092 | 0.579525 | 0 | 0.318182 | 0 | 0 | 0.010114 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.363636 | false | 0.318182 | 0.136364 | 0 | 0.545455 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 |
4de5fa0a4d2f2388e56a4b71e084e4c4d1f90880 | 145 | py | Python | tmrwppk/__init__.py | hobakill/tmrwppk | 956cf034b93ba92f67c1bd173bbd6da4416f011e | [
"MIT"
] | null | null | null | tmrwppk/__init__.py | hobakill/tmrwppk | 956cf034b93ba92f67c1bd173bbd6da4416f011e | [
"MIT"
] | 1 | 2021-11-15T17:49:13.000Z | 2021-11-15T17:49:13.000Z | tmrwppk/__init__.py | hobakill/tmrwppk | 956cf034b93ba92f67c1bd173bbd6da4416f011e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Top-level package for tmrwppk."""
__author__ = """Nick Hobart"""
__email__ = 'nick@hobart.io'
__version__ = '0.0.6'
| 18.125 | 36 | 0.62069 | 19 | 145 | 4.105263 | 0.842105 | 0.25641 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.032258 | 0.144828 | 145 | 7 | 37 | 20.714286 | 0.596774 | 0.365517 | 0 | 0 | 0 | 0 | 0.348837 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
4df9601e57fc2bd477bc589b9111b33d0c20824d | 1,318 | py | Python | grr/test/grr_response_test/api_regression_test_generate.py | tsehori/grr | 048506f22f74642bfe61749069a45ddf496fdab3 | [
"Apache-2.0"
] | 1 | 2021-07-24T17:22:50.000Z | 2021-07-24T17:22:50.000Z | grr/test/grr_response_test/api_regression_test_generate.py | tsehori/grr | 048506f22f74642bfe61749069a45ddf496fdab3 | [
"Apache-2.0"
] | 44 | 2021-05-14T22:49:24.000Z | 2022-03-13T21:54:02.000Z | grr/test/grr_response_test/api_regression_test_generate.py | tsehori/grr | 048506f22f74642bfe61749069a45ddf496fdab3 | [
"Apache-2.0"
] | 2 | 2022-02-25T08:34:51.000Z | 2022-03-16T17:29:44.000Z | #!/usr/bin/env python
"""Program that generates golden regression data."""
from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
from absl import app
from grr_response_server.gui import api_regression_test_lib
# pylint: disable=unused-import
from grr_response_server.gui.api_plugins import artifact_regression_test
from grr_response_server.gui.api_plugins import client_regression_test
from grr_response_server.gui.api_plugins import config_regression_test
from grr_response_server.gui.api_plugins import cron_regression_test
from grr_response_server.gui.api_plugins import flow_regression_test
from grr_response_server.gui.api_plugins import hunt_regression_test
from grr_response_server.gui.api_plugins import output_plugin_regression_test
from grr_response_server.gui.api_plugins import reflection_regression_test
from grr_response_server.gui.api_plugins import stats_regression_test
from grr_response_server.gui.api_plugins import user_regression_test
from grr_response_server.gui.api_plugins import vfs_regression_test
# pylint: enable=unused-import
def main(argv):
"""Entry function."""
api_regression_test_lib.main(argv)
def DistEntry():
"""The main entry point for packages."""
app.run(main)
if __name__ == "__main__":
app.run(main)
| 33.794872 | 77 | 0.852807 | 196 | 1,318 | 5.295918 | 0.285714 | 0.175337 | 0.17341 | 0.242775 | 0.581888 | 0.558767 | 0.558767 | 0.558767 | 0.520231 | 0.520231 | 0 | 0 | 0.088771 | 1,318 | 38 | 78 | 34.684211 | 0.86428 | 0.134294 | 0 | 0.090909 | 1 | 0 | 0.007124 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.727273 | 0 | 0.818182 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
151cbd3eae8197b33fcc0379a280059a09b0bfc2 | 4,763 | py | Python | docs/code/p3/ntumc.py | bond-lab/Language-and-the-Computer | 58d808cdbe6873256f1d0fa091ebc5d909f211bb | [
"CC-BY-4.0"
] | null | null | null | docs/code/p3/ntumc.py | bond-lab/Language-and-the-Computer | 58d808cdbe6873256f1d0fa091ebc5d909f211bb | [
"CC-BY-4.0"
] | null | null | null | docs/code/p3/ntumc.py | bond-lab/Language-and-the-Computer | 58d808cdbe6873256f1d0fa091ebc5d909f211bb | [
"CC-BY-4.0"
] | null | null | null | from collections import defaultdict as dd
import sqlite3
import json
corpusdb='/home/bond/dbs/2020-hg2002/final/eng.db'
#corpusdb='eng.good.db'
conn = sqlite3.connect(corpusdb)
c = conn.cursor()
def sents(did=440):
"""Return the sentences for a given docid (default 440)"""
stype = dd(str)
c.execute("""SELECT sid, sent, comment
FROM sent WHERE docid=?
ORDER BY sid""", (did,))
sents = list()
for (sid, sent, comment) in c:
sid = int(sid)
if sid in (10000,):
stype[sid]='h1'
elif sid in (10001, 10006, 10008, 10010, 10011, 10017, 10018, 10021, 10027, 10028, 10029, 10034, 10037, 10038, 10040, 10041, 10045, 10053, 10054, 10060, 10064, 10065, 10066, 10068, 10074, 10080, 10084, 10087, 10090, 10091, 10096, 10097, 10098, 10104, 10105, 10109, 10110, 10111, 10112, 10114, 10118, 10120, 10122, 10123, 10125, 10127, 10128, 10129, 10131, 10133, 10155, 10157, 10159, 10160, 10162, 10165, 10171, 10172, 10173, 10174, 10175, 10176, 10177, 10178, 10180, 10181, 10182, 10190, 10192, 10193, 10195, 10196, 10198, 10199, 10201, 10202, 10206, 10209, 10211, 10212, 10214, 10216, 10219, 10223, 10224, 10225, 10226, 10227, 10228, 10229, 10230, 10231, 10232, 10233, 10237, 10241, 10242, 10243, 10244, 10246, 10250, 10251, 10252, 10253, 10257, 10258, 10259, 10260, 10261, 10264, 10271, 10272, 10275, 10278, 10280, 10290, 10296, 10297, 10299, 10300, 10301, 10302, 10304, 10306, 10307, 10311, 10315, 10317, 10318, 10319, 10321, 10325, 10330, 10331, 10333, 10335, 10337, 10341, 10343, 10345, 10351, 10358, 10359, 10360, 10361, 10362, 10363, 10365, 10371, 10372, 10373, 10376, 10378, 10381, 10382, 10383, 10384, 10386, 10389, 10390, 10391, 10393, 10395, 10396, 10398, 10400, 10402, 10406, 10410, 10412, 10413, 10415, 10419, 10421, 10422, 10423, 10425, 10426, 10427, 10428, 10431, 10432, 10434, 10435, 10438, 10439, 10440, 10441, 10442, 10443, 10444, 10445, 10446, 10447, 10451, 10456, 10458, 10459, 10460, 10461, 10462, 10464, 10466, 10467, 10468, 10470, 10471, 10472, 10477, 10478, 10481, 10482, 10483, 10484, 10486, 10487, 10489, 10491, 10497, 10499, 10500, 10502, 10504, 10505, 10508, 10510, 10516, 10517, 10519, 10520, 10523, 10524, 10527, 10534, 10540, 10542, 10545, 10549, 10550, 10553, 10556, 10563, 10565, 10567, 10571, 10572, 10575, 10589, 10595, 10596):
stype[sid]='p'
sents.append((sid, sent, stype[sid], comment))
return sents
def tagged_words(did=440):
"""Return the sentences for a given docid (default 440)
list of (sid, wid, word, pos, lemma, cid, clemma, tag, comment)"""
### get concept word link
c.execute("""SELECT cwl.sid, cwl.wid, cwl.cid
FROM (SELECT sid FROM sent WHERE docid=?
ORDER BY sid) as sent
JOIN cwl on sent.sid=cwl.sid""", (did,))
clink = dd(lambda: dd(list))
for (sid, wid, cid) in c:
clink[sid][wid].append(cid)
c.execute("""SELECT sent.sid, cid, clemma, tag, comment
FROM (SELECT sid FROM sent WHERE docid=?
ORDER BY sid) as sent
JOIN concept on sent.sid=concept.sid""", (did,))
concept = dd(lambda: dd())
for (sid, cid, clemma, tag, comment) in c:
if tag and tag not in ['x', 'w', 'e']: ### check 'w' and 'e' later
##print(sid, cid, clemma, tag, comment)
concept[sid][cid] = (clemma, tag, comment)
c.execute("""SELECT sent.sid, cid, score
FROM (SELECT sid FROM sent WHERE docid=?
ORDER BY sid) as sent
JOIN sentiment on sent.sid=sentiment.sid""", (did,))
sentiment = dd(lambda: dd())
for sid, cid, score in c:
sentiment[sid][cid] = score
c.execute("""SELECT word.sid, wid, word, lemma, pos, word.comment
FROM (SELECT sid FROM sent WHERE docid=?
ORDER BY sid) as sent
JOIN word on sent.sid=word.sid ORDER by word.sid, wid""", (did,))
words = list()
for (sid, wid, word, lemma, pos, comment) in c:
##print (sid, wid, word, lemma, pos, comment)
ok_clemma = ''
ok_cid = -1
ok_tag = ''
ok_sentiment = 0.0
for cid in clink[sid][wid]:
if cid in concept[sid]:
(clemma, tag, comment) = concept[sid][cid]
ok_clemma = clemma
ok_cid = cid
ok_tag = tag
if cid in sentiment[sid]:
ok_sentiment = sentiment[sid][cid] / 100
words.append((sid, wid,
word, lemma, pos,
ok_cid, ok_clemma, ok_tag, ok_sentiment,
comment))
return words
data = sents()
with open('sents.json', 'w') as outfile:
json.dump(data, outfile, indent=2)
data = tagged_words()
with open('words.json', 'w') as outfile:
json.dump(data, outfile, indent=2)
| 51.215054 | 1,771 | 0.620827 | 676 | 4,763 | 4.35355 | 0.505917 | 0.018349 | 0.03262 | 0.030581 | 0.237513 | 0.20931 | 0.143391 | 0.133877 | 0.133877 | 0.133877 | 0 | 0.355543 | 0.240605 | 4,763 | 92 | 1,772 | 51.771739 | 0.458114 | 0.066765 | 0 | 0.138889 | 0 | 0 | 0.170136 | 0.013801 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027778 | false | 0 | 0.041667 | 0 | 0.097222 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
1274beb2be25373cf963408f49826fcb43903ab4 | 109 | py | Python | turtle/static/game/level1/prompt1.py | ramimanna/turtle-playground | 6d06a10bb06ea2cf5148022c5098cf172352f800 | [
"MIT"
] | null | null | null | turtle/static/game/level1/prompt1.py | ramimanna/turtle-playground | 6d06a10bb06ea2cf5148022c5098cf172352f800 | [
"MIT"
] | null | null | null | turtle/static/game/level1/prompt1.py | ramimanna/turtle-playground | 6d06a10bb06ea2cf5148022c5098cf172352f800 | [
"MIT"
] | null | null | null | #The game has started!
#Level 1
#You are Player 1
#You have a clone of turtle called p1
def play_turn(p1):
| 18.166667 | 37 | 0.724771 | 22 | 109 | 3.545455 | 0.863636 | 0.102564 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.045977 | 0.201835 | 109 | 6 | 38 | 18.166667 | 0.850575 | 0.733945 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
1296eeb7b61297fcb047fa8ca955edd95fb5dc10 | 22 | py | Python | src/tempra/config.py | jasondraether/tempra | 832b319960ac3ec312dc240b6c7b1101d6bb5b78 | [
"MIT"
] | null | null | null | src/tempra/config.py | jasondraether/tempra | 832b319960ac3ec312dc240b6c7b1101d6bb5b78 | [
"MIT"
] | null | null | null | src/tempra/config.py | jasondraether/tempra | 832b319960ac3ec312dc240b6c7b1101d6bb5b78 | [
"MIT"
] | null | null | null | supported_units = [
] | 7.333333 | 19 | 0.681818 | 2 | 22 | 7 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.181818 | 22 | 3 | 20 | 7.333333 | 0.777778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
12b4f485b973b0f35c403bc70b9c444e4fd56889 | 70 | py | Python | setup.py | biomedical-cybernetics/pypsis | 987cea5e2895a9744a266787b7f7f5b702e128ca | [
"MIT"
] | 2 | 2021-08-03T09:38:33.000Z | 2021-11-12T21:23:00.000Z | setup.py | biomedical-cybernetics/pypsis | 987cea5e2895a9744a266787b7f7f5b702e128ca | [
"MIT"
] | null | null | null | setup.py | biomedical-cybernetics/pypsis | 987cea5e2895a9744a266787b7f7f5b702e128ca | [
"MIT"
] | null | null | null | from setuptools import setup
setup(
use_scm_version=True,
)
| 11.666667 | 29 | 0.7 | 9 | 70 | 5.222222 | 0.888889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.242857 | 70 | 5 | 30 | 14 | 0.886792 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.25 | 0 | 0.25 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
12f42f92075c6af3d1295415f2dd35955d9e28fb | 509 | py | Python | 6 kyu - Multiples of 3 or 5.py | ricardopizzimenti/Codewars | bbebc3f62642e22109d6a5ac0cdd638bca02e6ca | [
"MIT"
] | null | null | null | 6 kyu - Multiples of 3 or 5.py | ricardopizzimenti/Codewars | bbebc3f62642e22109d6a5ac0cdd638bca02e6ca | [
"MIT"
] | null | null | null | 6 kyu - Multiples of 3 or 5.py | ricardopizzimenti/Codewars | bbebc3f62642e22109d6a5ac0cdd638bca02e6ca | [
"MIT"
] | null | null | null | """
If we list all the natural numbers below 10 that are multiples of 3 or 5, we get 3, 5, 6 and 9.
The sum of these multiples is 23.
Finish the solution so that it returns the sum of all the multiples of 3 or 5 below the number passed in.
Note: If the number is a multiple of both 3 and 5, only count it once.
Also, if a number is negative, return 0(for languages that do have them)
"""
def solution(number):
return sum([i for i in range(3, number) if i % 3 == 0 or i % 5 == 0])
print(solution(10)) | 31.8125 | 105 | 0.699411 | 105 | 509 | 3.390476 | 0.495238 | 0.033708 | 0.067416 | 0.078652 | 0.08427 | 0 | 0 | 0 | 0 | 0 | 0 | 0.055696 | 0.223969 | 509 | 16 | 106 | 31.8125 | 0.84557 | 0.748527 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0.333333 | 0.666667 | 0.333333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
12f4f51baaa7ab46639b05a15fb7e30c04ec5672 | 714 | py | Python | saturpy/datasets/load_datasets.py | sciencedt/saturpy | 7edd20988ee550b4441053bbb6aae90dfbd80fb5 | [
"Apache-2.0"
] | 1 | 2020-05-30T16:12:43.000Z | 2020-05-30T16:12:43.000Z | saturpy/datasets/load_datasets.py | sciencedt/saturpy | 7edd20988ee550b4441053bbb6aae90dfbd80fb5 | [
"Apache-2.0"
] | null | null | null | saturpy/datasets/load_datasets.py | sciencedt/saturpy | 7edd20988ee550b4441053bbb6aae90dfbd80fb5 | [
"Apache-2.0"
] | null | null | null | """
loads different data sets
"""
import os
import pandas as pd
def load_iris():
"""
load iris data sets
sepal_length, sepal_width, petal_length, petal_width, species
150x4
0=setosa, 1=versicolor, 2=virginica
:return:
"""
return pd.read_csv(get_file_path('data/iris.csv'))
def get_file_path(file_to_load):
"""
append the path file path into data path
:param file_to_load:
:return:
"""
# TODO manage proper data set loading
return os.path.join(os.getcwd(), 'saturpy/datasets', file_to_load)
class DataSet:
"""
load dataset into class
"""
def __init__(self):
self.data = []
self.feature = []
self.targets = []
| 19.297297 | 70 | 0.627451 | 96 | 714 | 4.458333 | 0.520833 | 0.056075 | 0.070093 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013183 | 0.256303 | 714 | 36 | 71 | 19.833333 | 0.792844 | 0.406162 | 0 | 0 | 0 | 0 | 0.083573 | 0 | 0 | 0 | 0 | 0.027778 | 0 | 1 | 0.272727 | false | 0 | 0.181818 | 0 | 0.727273 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
12f5884ef2b975c043d06c56a5071664e3878103 | 634 | py | Python | filters/gaussian_filter.py | neodyme60/raypy | a898ba46e07ba299fcb1729dca45abdc1e944f83 | [
"MIT"
] | 1 | 2018-05-15T04:00:17.000Z | 2018-05-15T04:00:17.000Z | filters/gaussian_filter.py | neodyme60/raypy | a898ba46e07ba299fcb1729dca45abdc1e944f83 | [
"MIT"
] | null | null | null | filters/gaussian_filter.py | neodyme60/raypy | a898ba46e07ba299fcb1729dca45abdc1e944f83 | [
"MIT"
] | null | null | null | import math
from core.filter import Filter
class GaussianFilter(Filter):
def __init__(self, width: float, height: float, alpha: float):
super().__init__(width, height)
self.alpha = alpha
self.exp_x = math.exp(-self.alpha * self.width * self.width)
self.exp_y = math.exp(-self.alpha * self.height * self.height)
def evaluate(self, x: float, y: float) -> float:
return self.get_gaussian(x, self.exp_x) * self.get_gaussian(y, self.exp_y)
def get_gaussian(self, d: float, exp_v: float) -> float:
return max(0.0, float(math.exp(-self.alpha * d * d) - exp_v)) | 37.294118 | 83 | 0.634069 | 94 | 634 | 4.095745 | 0.276596 | 0.093506 | 0.085714 | 0.124675 | 0.103896 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004098 | 0.230284 | 634 | 17 | 84 | 37.294118 | 0.784836 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.166667 | 0.166667 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
420392830975d2ff85e7a0d8f9ae1d1b2d0319e5 | 452 | py | Python | ecommercejockey/premier/migrations/0008_relevancy_and_notes.py | anniethiessen/dieselr-ecommerce | 9268b72553845a4650cdfe7c88b398db3cf92258 | [
"MIT"
] | null | null | null | ecommercejockey/premier/migrations/0008_relevancy_and_notes.py | anniethiessen/dieselr-ecommerce | 9268b72553845a4650cdfe7c88b398db3cf92258 | [
"MIT"
] | 11 | 2020-06-06T00:04:26.000Z | 2022-03-12T00:57:41.000Z | ecommercejockey/premier/migrations/0008_relevancy_and_notes.py | anniethiessen/ecommerce-jockey | 9268b72553845a4650cdfe7c88b398db3cf92258 | [
"MIT"
] | null | null | null | # Generated by Django 2.2.5 on 2019-11-26 00:53
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('premier', '0007_premierproduct_notes'),
]
operations = [
migrations.RemoveField(
model_name='premiermanufacturer',
name='notes',
),
migrations.RemoveField(
model_name='premierproduct',
name='notes',
),
]
| 20.545455 | 49 | 0.579646 | 41 | 452 | 6.292683 | 0.658537 | 0.162791 | 0.20155 | 0.232558 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.061093 | 0.311947 | 452 | 21 | 50 | 21.52381 | 0.768489 | 0.099558 | 0 | 0.4 | 1 | 0 | 0.185185 | 0.061728 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.066667 | 0 | 0.266667 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
420aa866c4ab52c748c5e15dd211bc9255a49b8a | 509 | py | Python | qtpy/tests/test_qtwebsockets.py | n-elie/qtpy | 24fbb72216f18621735cce76022d8eb512468d85 | [
"MIT"
] | 632 | 2015-05-31T09:55:21.000Z | 2022-03-24T13:37:01.000Z | qtpy/tests/test_qtwebsockets.py | n-elie/qtpy | 24fbb72216f18621735cce76022d8eb512468d85 | [
"MIT"
] | 259 | 2015-05-04T16:33:45.000Z | 2022-03-24T19:48:27.000Z | qtpy/tests/test_qtwebsockets.py | n-elie/qtpy | 24fbb72216f18621735cce76022d8eb512468d85 | [
"MIT"
] | 140 | 2015-05-04T16:34:13.000Z | 2022-03-30T21:05:06.000Z | import pytest
from qtpy import PYQT5, PYSIDE2
@pytest.mark.skipif(not (PYQT5 or PYSIDE2), reason="Only available in Qt5 bindings")
def test_qtwebsockets():
"""Test the qtpy.QtWebSockets namespace"""
from qtpy import QtWebSockets
assert QtWebSockets.QMaskGenerator is not None
assert QtWebSockets.QWebSocket is not None
assert QtWebSockets.QWebSocketCorsAuthenticator is not None
assert QtWebSockets.QWebSocketProtocol is not None
assert QtWebSockets.QWebSocketServer is not None
| 36.357143 | 84 | 0.787819 | 62 | 509 | 6.451613 | 0.467742 | 0.225 | 0.1125 | 0.15 | 0.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011682 | 0.159136 | 509 | 13 | 85 | 39.153846 | 0.922897 | 0.070727 | 0 | 0 | 0 | 0 | 0.06424 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0.1 | true | 0 | 0.3 | 0 | 0.4 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
422de53b0a59b1eecbe77b4474e1dac61e350a6c | 7,342 | py | Python | tests/main/test_views.py | uk-gov-mirror/alphagov.digitalmarketplace-antivirus-api | 99876531d4edc4a8c3a8eeb72a57ef3db788847c | [
"MIT"
] | 1 | 2021-10-12T00:23:37.000Z | 2021-10-12T00:23:37.000Z | tests/main/test_views.py | uk-gov-mirror/alphagov.digitalmarketplace-antivirus-api | 99876531d4edc4a8c3a8eeb72a57ef3db788847c | [
"MIT"
] | 22 | 2018-09-11T09:44:57.000Z | 2021-06-02T14:46:37.000Z | tests/main/test_views.py | uk-gov-mirror/alphagov.digitalmarketplace-antivirus-api | 99876531d4edc4a8c3a8eeb72a57ef3db788847c | [
"MIT"
] | 3 | 2019-08-29T13:57:58.000Z | 2021-04-10T18:07:00.000Z | from functools import partial
import json
import mock
import boto3
import botocore
import pytest
from ..helpers import BaseApplicationTest
@pytest.mark.parametrize("method", ("PUT", "POST",))
class TestScanS3Object(BaseApplicationTest):
@mock.patch("app.main.views.scan.scan_and_tag_s3_object", autospec=True)
def test_missing_json_keys(self, mock_scan_and_tag_s3_object, method):
client = self.get_authorized_client()
res = client.open(
"/scan/s3-object",
method=method,
data=json.dumps({
"bucketName": "defense-duriner",
"objectVersionId": "abcdef54321wxyz",
}),
content_type="application/json",
)
assert res.status_code == 400
assert res.content_type == "application/json"
assert json.loads(res.get_data()) == {
"error": "Expected top-level JSON keys: ['objectKey']",
}
assert mock_scan_and_tag_s3_object.called is False
@mock.patch("app.main.views.scan.scan_and_tag_s3_object", autospec=True)
def test_json_not_obj(self, mock_scan_and_tag_s3_object, method):
client = self.get_authorized_client()
res = client.open(
"/scan/s3-object",
method=method,
data=json.dumps(54321),
content_type="application/json",
)
assert res.status_code == 400
assert res.content_type == "application/json"
assert json.loads(res.get_data()) == {
"error": "Expected content to be JSON object",
}
assert mock_scan_and_tag_s3_object.called is False
@mock.patch("app.main.views.scan.scan_and_tag_s3_object", autospec=True)
def test_nonexistent_bucket(self, mock_scan_and_tag_s3_object, s3_mock, method):
client = self.get_authorized_client()
res = client.open(
"/scan/s3-object",
method=method,
data=json.dumps({
"bucketName": "defense-duriner",
"objectKey": "sublime-mason.odt",
"objectVersionId": "abcdef54321wxyz",
}),
content_type="application/json",
)
assert res.status_code == 400
assert res.content_type == "application/json"
assert json.loads(res.get_data()) == {
"error": "Bucket 'defense-duriner' not found",
}
assert mock_scan_and_tag_s3_object.called is False
@mock.patch("app.main.views.scan.scan_and_tag_s3_object", autospec=True)
def test_nonexistent_object(self, mock_scan_and_tag_s3_object, empty_bucket, method):
client = self.get_authorized_client()
res = client.open(
"/scan/s3-object",
method=method,
data=json.dumps({
"bucketName": empty_bucket.name,
"objectKey": "sublime-mason.odt",
"objectVersionId": "abcdef54321wxyz",
}),
content_type="application/json",
)
assert res.status_code == 400
assert res.content_type == "application/json"
assert json.loads(res.get_data()) == {
"error": "Object with key 'sublime-mason.odt' and version 'abcdef54321wxyz' not found in bucket 'spade'",
}
assert mock_scan_and_tag_s3_object.called is False
@mock.patch("app.main.views.scan.scan_and_tag_s3_object", autospec=True)
def test_nonexistent_version(self, mock_scan_and_tag_s3_object, bucket_with_file, method):
bucket, objver = bucket_with_file
client = self.get_authorized_client()
res = client.open(
"/scan/s3-object",
method=method,
data=json.dumps({
"bucketName": bucket.name,
"objectKey": objver.Object().key,
"objectVersionId": "abcdef54321wxyz",
}),
content_type="application/json",
)
assert res.status_code == 400
assert res.content_type == "application/json"
assert json.loads(res.get_data()) == {
"error": (
"Object with key 'sandman/+4321 billy-winks☾.pdf' and version 'abcdef54321wxyz' not found in "
"bucket 'spade'"
),
}
assert mock_scan_and_tag_s3_object.called is False
@mock.patch("app.main.views.scan.scan_and_tag_s3_object", autospec=True)
def test_bucket_forbidden(self, mock_scan_and_tag_s3_object, bucket_with_file, method):
bucket, objver = bucket_with_file
unmocked_boto3_client = boto3.client
with mock.patch("boto3.client", autospec=True) as mock_boto_client:
# these tests are run against the aws-mocking library moto so that we can be more certain about exact
# behaviours of boto given certain service responses (consider exact contents of exception objects).
# currently the only capacity moto seems to have around policing permissions is rejecting anonymous access
# so that's what we'll have to use to generate our 403s. wrap the target's boto3.client to inject this
# option.
mock_boto_client.side_effect = partial(
unmocked_boto3_client,
config=botocore.client.Config(signature_version=botocore.UNSIGNED),
)
client = self.get_authorized_client()
res = client.open(
"/scan/s3-object",
method=method,
data=json.dumps({
"bucketName": bucket.name,
"objectKey": objver.Object().key,
"objectVersionId": objver.id,
}),
content_type="application/json",
)
assert res.status_code == 400
assert res.content_type == "application/json"
assert json.loads(res.get_data()) == {
"error": "Access to key 'sandman/+4321 billy-winks☾.pdf' version '0' in bucket 'spade' forbidden",
}
assert mock_scan_and_tag_s3_object.called is False
@mock.patch("app.main.views.scan.scan_and_tag_s3_object", autospec=True)
def test_correct_passthrough(self, mock_scan_and_tag_s3_object, bucket_with_file, method):
bucket, objver = bucket_with_file
client = self.get_authorized_client()
mock_scan_and_tag_s3_object.return_value = {"delectable": "swig"}, True, {"gurgling": "noise"}
res = client.open(
"/scan/s3-object",
method=method,
data=json.dumps({
"bucketName": bucket.name,
"objectKey": objver.Object().key,
"objectVersionId": objver.id,
}),
content_type="application/json",
)
assert res.status_code == 200
assert res.content_type == "application/json"
assert json.loads(res.get_data()) == {
"existingAvStatus": {"delectable": "swig"},
"avStatusApplied": True,
"newAvStatus": {"gurgling": "noise"},
}
assert mock_scan_and_tag_s3_object.call_args_list == [
mock.call(
s3_client=mock.ANY,
s3_bucket_name=bucket.name,
s3_object_key=objver.Object().key,
s3_object_version=objver.id,
)
]
| 38.239583 | 118 | 0.601199 | 830 | 7,342 | 5.084337 | 0.198795 | 0.058768 | 0.052133 | 0.062559 | 0.718957 | 0.718957 | 0.713744 | 0.682227 | 0.682227 | 0.682227 | 0 | 0.020998 | 0.292972 | 7,342 | 191 | 119 | 38.439791 | 0.791562 | 0.056116 | 0 | 0.622642 | 0 | 0.018868 | 0.215049 | 0.042461 | 0 | 0 | 0 | 0 | 0.176101 | 1 | 0.044025 | false | 0.006289 | 0.044025 | 0 | 0.09434 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
4236fff67417156f2d217307257982e1c5e264af | 1,160 | py | Python | fsuipc_airspaces/fs_position.py | tjensen/fsuipc-airspaces | 40100e1b88548350445818a7debd6f26d94f92ad | [
"MIT"
] | null | null | null | fsuipc_airspaces/fs_position.py | tjensen/fsuipc-airspaces | 40100e1b88548350445818a7debd6f26d94f92ad | [
"MIT"
] | null | null | null | fsuipc_airspaces/fs_position.py | tjensen/fsuipc-airspaces | 40100e1b88548350445818a7debd6f26d94f92ad | [
"MIT"
] | null | null | null | from typing import List, Tuple, Union, cast
from fsuipc_airspaces import offsets
from fsuipc_airspaces import position
class FSPosition():
def data_specification(self) -> List[Tuple[int, Union[str, int]]]:
return [
(offsets.TRANSPONDER, "H"),
(offsets.FS_LATITUDE, "l"),
(offsets.FS_LONGITUDE, "l"),
(offsets.FS_ALTITUDE, "l")
]
def process_data(self, data: List[Union[int, float, bytes]]) -> position.Position:
return position.Position(
transponder=self._transponder(cast(int, data[0])),
latitude=self._latitude(cast(int, data[1])),
longitude=self._longitude(cast(int, data[2])),
altitude=self._altitude(cast(int, data[3]))
)
def _transponder(self, raw: int) -> int:
return int(f"{raw:x}")
def _latitude(self, raw: int) -> float:
return float(raw) * 90 / (10001750 * 65536 * 65536)
def _longitude(self, raw: int) -> float:
return float(raw) * 360 / (65536 * 65536 * 65536 * 65536)
def _altitude(self, raw: int) -> float:
return float(raw) * 3.28084 / (65536 * 65536)
| 33.142857 | 86 | 0.599138 | 139 | 1,160 | 4.892086 | 0.302158 | 0.073529 | 0.064706 | 0.066176 | 0.127941 | 0.127941 | 0.127941 | 0 | 0 | 0 | 0 | 0.073341 | 0.259483 | 1,160 | 34 | 87 | 34.117647 | 0.718277 | 0 | 0 | 0 | 0 | 0 | 0.009483 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.230769 | false | 0 | 0.115385 | 0.230769 | 0.615385 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
4244b9b66f009ddd053a97d70ee30af86aeb4742 | 223 | py | Python | projects/convai/__init__.py | ricsinaruto/ParlAI | 733b627ae456d6b11a2fc4624088a781bc6c1d03 | [
"MIT"
] | 24 | 2019-09-16T00:10:54.000Z | 2021-09-08T19:31:51.000Z | projects/convai/__init__.py | ricsinaruto/ParlAI | 733b627ae456d6b11a2fc4624088a781bc6c1d03 | [
"MIT"
] | 3 | 2021-03-11T06:04:15.000Z | 2021-08-31T15:44:42.000Z | projects/convai/__init__.py | ricsinaruto/ParlAI | 733b627ae456d6b11a2fc4624088a781bc6c1d03 | [
"MIT"
] | 7 | 2019-09-16T02:37:31.000Z | 2021-09-01T06:06:17.000Z | #!/usr/bin/env python3
# Copyright (c) 2017-present, Moscow Institute of Physics and Technology.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
| 31.857143 | 73 | 0.766816 | 36 | 223 | 4.75 | 0.805556 | 0.116959 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.027027 | 0.170404 | 223 | 6 | 74 | 37.166667 | 0.897297 | 0.955157 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
424fcee9e1151328a057c64bf4def4bf5a641ff4 | 869 | py | Python | manga_py/providers/leviatanscans_com.py | paulolimac/manga-py | 3d180846750a4e770b5024eb8cd15629362875b1 | [
"MIT"
] | 1 | 2020-11-19T00:40:49.000Z | 2020-11-19T00:40:49.000Z | manga_py/providers/leviatanscans_com.py | paulolimac/manga-py | 3d180846750a4e770b5024eb8cd15629362875b1 | [
"MIT"
] | null | null | null | manga_py/providers/leviatanscans_com.py | paulolimac/manga-py | 3d180846750a4e770b5024eb8cd15629362875b1 | [
"MIT"
] | null | null | null | from manga_py.provider import Provider
from .helpers.std import Std
class LeviatanScansCom(Provider, Std):
def get_chapter_index(self) -> str:
return self.re.search(r'.+/(\d+/\d+)', self.chapter).group(1).replace('/', '-')
def get_main_content(self):
return self.http_get(self.get_url())
def get_manga_name(self) -> str:
return self.text_content(self.content, '.text-highlight')
def get_chapters(self):
return self._elements('.list a.item-author')
def get_files(self):
content = self.http_get(self.chapter)
images = self.re.search(r'chapterPages\s*=\s*(\[.+?\])', content).group(1)
return self.json.loads(images)
def get_cover(self) -> str:
image = self._elements('.media-comic-card .media-content')[0]
return self.parse_background(image)
main = LeviatanScansCom
| 28.966667 | 87 | 0.653625 | 117 | 869 | 4.709402 | 0.42735 | 0.065336 | 0.047187 | 0.061706 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004261 | 0.189873 | 869 | 29 | 88 | 29.965517 | 0.778409 | 0 | 0 | 0 | 0 | 0 | 0.124281 | 0.032221 | 0 | 0 | 0 | 0 | 0 | 1 | 0.315789 | false | 0 | 0.105263 | 0.210526 | 0.789474 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
4264444d701adc2d74f9b53f2207f25bdfcbd983 | 249 | py | Python | Curso em Video/Desafio_031.py | tonmarcondes/UNIVESP | a66a623d4811e8f3f9e2999f09e38a4470035ae2 | [
"MIT"
] | null | null | null | Curso em Video/Desafio_031.py | tonmarcondes/UNIVESP | a66a623d4811e8f3f9e2999f09e38a4470035ae2 | [
"MIT"
] | null | null | null | Curso em Video/Desafio_031.py | tonmarcondes/UNIVESP | a66a623d4811e8f3f9e2999f09e38a4470035ae2 | [
"MIT"
] | null | null | null | viagem = eval(input('\nQue distância pretende viajar?\n\t'))
if viagem <= 200:
print('\nO O preço de sua passagem é de R${:.2f}\n'.format(viagem * 0.5))
else:
print('\nO O preço de sua passagem é de R${:.2f}\n'.format(viagem * 0.45))
| 35.571429 | 79 | 0.618474 | 45 | 249 | 3.422222 | 0.577778 | 0.090909 | 0.103896 | 0.168831 | 0.597403 | 0.597403 | 0.597403 | 0.597403 | 0.597403 | 0.597403 | 0 | 0.049751 | 0.192771 | 249 | 6 | 80 | 41.5 | 0.716418 | 0 | 0 | 0 | 0 | 0 | 0.502058 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.4 | 0 | 0 | 0 | 0.4 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
427602869edf5c902e31a21af5a2ee3c9c1b7de4 | 137 | py | Python | 6.py | IuryBRIGNOLI/tarefas181021 | e0fc761dc9f79f80dcc48e2a9f677eb04643b0cd | [
"MIT"
] | null | null | null | 6.py | IuryBRIGNOLI/tarefas181021 | e0fc761dc9f79f80dcc48e2a9f677eb04643b0cd | [
"MIT"
] | null | null | null | 6.py | IuryBRIGNOLI/tarefas181021 | e0fc761dc9f79f80dcc48e2a9f677eb04643b0cd | [
"MIT"
] | null | null | null | rz = int(input('Digite a razao da PA: '))
n = int(input('Digite o primeiro número da PA: '))
for i in range(10):
print(n)
n += rz | 27.4 | 50 | 0.59854 | 26 | 137 | 3.153846 | 0.692308 | 0.195122 | 0.341463 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019048 | 0.233577 | 137 | 5 | 51 | 27.4 | 0.761905 | 0 | 0 | 0 | 0 | 0 | 0.391304 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.2 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
427d1cfcd647c877e98f2d2a16bc667e18079e5d | 359 | py | Python | pyta/candlesticks/new_price_lines.py | gslinger/pyta | d69cde971d43ef813c0bb96ce97bc7b4a22baf42 | [
"MIT"
] | 1 | 2021-10-10T08:00:21.000Z | 2021-10-10T08:00:21.000Z | pyta/candlesticks/new_price_lines.py | gslinger/pyta | d69cde971d43ef813c0bb96ce97bc7b4a22baf42 | [
"MIT"
] | null | null | null | pyta/candlesticks/new_price_lines.py | gslinger/pyta | d69cde971d43ef813c0bb96ce97bc7b4a22baf42 | [
"MIT"
] | null | null | null | import pandas as pd
# TODO docstring
def new_price_lines(h: pd.Series, n: int = 8) -> pd.Series:
res: pd.Series = pd.Series(h.rolling(n + 1).apply(lambda x: x.is_monotonic_increasing))
return res
"""
n New Price Lines. n Consecutively higher highs. Usual n values = 8, 10, 12, 13.
Theoretically a bearish reversal signal, but weak performance.
""" | 27.615385 | 91 | 0.707521 | 59 | 359 | 4.237288 | 0.694915 | 0.128 | 0.104 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.030405 | 0.175487 | 359 | 13 | 92 | 27.615385 | 0.814189 | 0.038997 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.076923 | 0 | 1 | 0.25 | false | 0 | 0.25 | 0 | 0.75 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
c41dd4c0742ed1890f2fd8e68288d217c1171d2e | 10,500 | py | Python | tetrimino.py | vinc-r/Tetris | f5afe1d8420e26e2c565c20c60207245f1b12b8c | [
"MIT"
] | null | null | null | tetrimino.py | vinc-r/Tetris | f5afe1d8420e26e2c565c20c60207245f1b12b8c | [
"MIT"
] | 1 | 2020-08-24T14:41:40.000Z | 2020-09-09T10:59:15.000Z | tetrimino.py | vinc-r/Tetris | f5afe1d8420e26e2c565c20c60207245f1b12b8c | [
"MIT"
] | null | null | null | import pygame
import random
from cube import Cube
from constants import MARGIN, CUBE_SIZE, NEXT_TETRIS_POS, TIME_BETWEEN_MOVE, TETRIMINO_ID, NEXT_TETRIS_CUBES_POS
def convert_pixel_positions(positions_pixels):
return [convert_pixel_position(pos) for pos in positions_pixels]
def convert_pixel_position(positions_pixels):
return int((positions_pixels[0] - MARGIN) / CUBE_SIZE), int((positions_pixels[1] - MARGIN) / CUBE_SIZE)
# translation_dict to spin tetrimino who can hold in 3*3 square (L, J, S, T, Z)
SPIN_3X3 = {
"top_left": (2, 0, "top_right"),
"top": (1, 1, "right"),
"top_right": (0, 2, "bottom_right"),
"right": (-1, 1, "bottom"),
"bottom_right": (-2, 0, "bottom_left"),
"bottom": (-1, -1, "left"),
"bottom_left": (0, -2, "top_left"),
"left": (1, -1, "top")
}
# translation_dict to spin tetrimino who can hold in 4*4 square => only for I
# ex : line_1_col_0 will be change to line_0_col_2 after spin
SPIN_4X4 = {
"l0_c1": (2, 1, "l1_c3"),
"l0_c2": (1, 2, "l2_c3"),
"l1_c3": (-1, 2, "l3_c2"),
"l2_c3": (-2, 1, "l3_c1"),
"l3_c2": (-2, -1, "l2_c0"),
"l3_c1": (-1, -2, "l1_c0"),
"l2_c0": (1, -2, "l0_c1"),
"l1_c0": (2, -1, "l0_c2"),
"l1_c1": (1, 0, "l1_c2"),
"l1_c2": (0, 1, "l2_c2"),
"l2_c2": (-1, 0, "l2_c1"),
"l2_c1": (0, -1, "l1_c1")
}
class Tetrimino:
def __init__(self, shape=random.choice(TETRIMINO_ID)):
self.shape = shape
# initialize moving clocks
self.clock_down = pygame.time.Clock()
self.time_last_move_down = 0 # init 0 sec (not moving yet)
self.clock_left = pygame.time.Clock()
self.time_last_move_left = TIME_BETWEEN_MOVE # init able to move
self.clock_right = pygame.time.Clock()
self.time_last_move_right = TIME_BETWEEN_MOVE # init able to move
# initialize empty cubes
self.cubes = []
self.spin_state = 0
def move_down(self, grid):
positions_pixels = [(cube.rect.x, cube.rect.y) for cube in self.cubes]
positions = convert_pixel_positions(positions_pixels)
for pos in positions:
if grid[pos[1]+1][pos[0]] != "e":
return positions
for cube in self.cubes:
cube.rect.y += CUBE_SIZE
self.time_last_move_down = 0
self.clock_down.tick()
return True
def move_left(self, grid):
positions_pixels = [(cube.rect.x, cube.rect.y) for cube in self.cubes]
positions = convert_pixel_positions(positions_pixels)
for pos in positions:
if grid[pos[1]][pos[0]-1] != "e":
return False
for cube in self.cubes:
cube.rect.x -= CUBE_SIZE
self.time_last_move_left = 0
self.clock_left.tick()
return True
def move_right(self, grid):
positions_pixels = [(cube.rect.x, cube.rect.y) for cube in self.cubes]
positions = convert_pixel_positions(positions_pixels)
for pos in positions:
if grid[pos[1]][pos[0]+1] != "e":
return False
for cube in self.cubes:
cube.rect.x += CUBE_SIZE
self.time_last_move_right = 0
self.clock_right.tick()
return True
def drop_tetrimino(self, grid):
positions = self.move_down(grid)
while type(positions) == bool and positions:
positions = self.move_down(grid)
return positions
def spin_tetrimino_3X3(self, grid):
movement_allowed = True
for cube in self.cubes:
if cube.pos != "center":
future_pos = convert_pixel_position((
cube.rect.x + CUBE_SIZE * SPIN_3X3[cube.pos][0],
cube.rect.y + CUBE_SIZE * SPIN_3X3[cube.pos][1]
))
if grid[future_pos[1]][future_pos[0]] != "e":
movement_allowed = False
break
if movement_allowed:
for cube in self.cubes:
if cube.pos != "center":
cube.rect.x += CUBE_SIZE * SPIN_3X3[cube.pos][0]
cube.rect.y += CUBE_SIZE * SPIN_3X3[cube.pos][1]
cube.pos = SPIN_3X3[cube.pos][2]
print("SPIN")
def is_over_other_cube(self, grid):
for cube in self.cubes:
pos = convert_pixel_position((cube.rect.x, cube.rect.y))
if grid[pos[1]][pos[0]] != "e":
return True
return False
class NextTetrimino:
def __init__(self, shape=random.choice(TETRIMINO_ID)):
assert shape in TETRIMINO_ID
self.shape = shape
self.cubes = [
Cube(type=shape, x=NEXT_TETRIS_POS[0] + CUBE_SIZE * NEXT_TETRIS_CUBES_POS[shape][0][0],
y=NEXT_TETRIS_POS[1] + CUBE_SIZE * NEXT_TETRIS_CUBES_POS[shape][0][1]),
Cube(type=shape, x=NEXT_TETRIS_POS[0] + CUBE_SIZE * NEXT_TETRIS_CUBES_POS[shape][1][0],
y=NEXT_TETRIS_POS[1] + CUBE_SIZE * NEXT_TETRIS_CUBES_POS[shape][1][1]),
Cube(type=shape, x=NEXT_TETRIS_POS[0] + CUBE_SIZE * NEXT_TETRIS_CUBES_POS[shape][2][0],
y=NEXT_TETRIS_POS[1] + CUBE_SIZE * NEXT_TETRIS_CUBES_POS[shape][2][1]),
Cube(type=shape, x=NEXT_TETRIS_POS[0] + CUBE_SIZE * NEXT_TETRIS_CUBES_POS[shape][3][0],
y=NEXT_TETRIS_POS[1] + CUBE_SIZE * NEXT_TETRIS_CUBES_POS[shape][3][1])
]
class O(Tetrimino):
def __init__(self):
super().__init__(shape="O")
self.cubes = [
Cube(type=self.shape, x=MARGIN + CUBE_SIZE * 5, y=MARGIN + CUBE_SIZE * 1),
Cube(type=self.shape, x=MARGIN + CUBE_SIZE * 6, y=MARGIN + CUBE_SIZE * 1),
Cube(type=self.shape, x=MARGIN + CUBE_SIZE * 5, y=MARGIN + CUBE_SIZE * 2),
Cube(type=self.shape, x=MARGIN + CUBE_SIZE * 6, y=MARGIN + CUBE_SIZE * 2)
]
def spin_tetrimino(self, grid):
# no spin for Tetrimino O (always the same position)
pass
class I(Tetrimino):
def __init__(self):
super().__init__(shape="I")
self.cubes = [
Cube(type=self.shape, x=MARGIN + CUBE_SIZE * 4, y=MARGIN + CUBE_SIZE * 2, pos="l1_c0"),
Cube(type=self.shape, x=MARGIN + CUBE_SIZE * 5, y=MARGIN + CUBE_SIZE * 2, pos="l1_c1"),
Cube(type=self.shape, x=MARGIN + CUBE_SIZE * 6, y=MARGIN + CUBE_SIZE * 2, pos="l1_c2"),
Cube(type=self.shape, x=MARGIN + CUBE_SIZE * 7, y=MARGIN + CUBE_SIZE * 2, pos="l1_c3")
]
def spin_tetrimino(self, grid):
movement_allowed = True
for cube in self.cubes:
future_pos = convert_pixel_position((
cube.rect.x + CUBE_SIZE * SPIN_4X4[cube.pos][0],
cube.rect.y + CUBE_SIZE * SPIN_4X4[cube.pos][1]
))
if grid[future_pos[1]][future_pos[0]] != "e":
movement_allowed = False
break
if movement_allowed:
for cube in self.cubes:
cube.rect.x += CUBE_SIZE * SPIN_4X4[cube.pos][0]
cube.rect.y += CUBE_SIZE * SPIN_4X4[cube.pos][1]
cube.pos = SPIN_4X4[cube.pos][2]
self.spin_state = (self.spin_state + 1) % 4
print("SPIN")
class J(Tetrimino):
def __init__(self):
super().__init__(shape="J")
self.cubes = [
Cube(type=self.shape, x=MARGIN + CUBE_SIZE * 4, y=MARGIN + CUBE_SIZE * 1, pos="top_left"),
Cube(type=self.shape, x=MARGIN + CUBE_SIZE * 4, y=MARGIN + CUBE_SIZE * 2, pos="left"),
Cube(type=self.shape, x=MARGIN + CUBE_SIZE * 5, y=MARGIN + CUBE_SIZE * 2, pos="center"),
Cube(type=self.shape, x=MARGIN + CUBE_SIZE * 6, y=MARGIN + CUBE_SIZE * 2, pos="right")
]
def spin_tetrimino(self, grid):
self.spin_tetrimino_3X3(grid)
class S(Tetrimino):
def __init__(self):
super().__init__(shape="S")
self.cubes = [
Cube(type=self.shape, x=MARGIN + CUBE_SIZE * 4, y=MARGIN + CUBE_SIZE * 2, pos="left"),
Cube(type=self.shape, x=MARGIN + CUBE_SIZE * 5, y=MARGIN + CUBE_SIZE * 2, pos="center"),
Cube(type=self.shape, x=MARGIN + CUBE_SIZE * 5, y=MARGIN + CUBE_SIZE * 1, pos="top"),
Cube(type=self.shape, x=MARGIN + CUBE_SIZE * 6, y=MARGIN + CUBE_SIZE * 1, pos="top_right")
]
def spin_tetrimino(self, grid):
self.spin_tetrimino_3X3(grid)
class T(Tetrimino):
def __init__(self):
super().__init__(shape="T")
self.cubes = [
Cube(type=self.shape, x=MARGIN + CUBE_SIZE * 4, y=MARGIN + CUBE_SIZE * 2, pos="left"),
Cube(type=self.shape, x=MARGIN + CUBE_SIZE * 5, y=MARGIN + CUBE_SIZE * 2, pos="center"),
Cube(type=self.shape, x=MARGIN + CUBE_SIZE * 5, y=MARGIN + CUBE_SIZE * 1, pos="top"),
Cube(type=self.shape, x=MARGIN + CUBE_SIZE * 6, y=MARGIN + CUBE_SIZE * 2, pos="right")
]
def spin_tetrimino(self, grid):
self.spin_tetrimino_3X3(grid)
class Z(Tetrimino):
def __init__(self):
super().__init__(shape="Z")
self.cubes = [
Cube(type=self.shape, x=MARGIN + CUBE_SIZE * 4, y=MARGIN + CUBE_SIZE * 1, pos="top_left"),
Cube(type=self.shape, x=MARGIN + CUBE_SIZE * 5, y=MARGIN + CUBE_SIZE * 1, pos="top"),
Cube(type=self.shape, x=MARGIN + CUBE_SIZE * 5, y=MARGIN + CUBE_SIZE * 2, pos="center"),
Cube(type=self.shape, x=MARGIN + CUBE_SIZE * 6, y=MARGIN + CUBE_SIZE * 2, pos="right")
]
def spin_tetrimino(self, grid):
self.spin_tetrimino_3X3(grid)
class L(Tetrimino):
def __init__(self):
super().__init__(shape="L")
self.cubes = [
Cube(type=self.shape, x=MARGIN + CUBE_SIZE * 4, y=MARGIN + CUBE_SIZE * 2, pos="left"),
Cube(type=self.shape, x=MARGIN + CUBE_SIZE * 5, y=MARGIN + CUBE_SIZE * 2, pos="center"),
Cube(type=self.shape, x=MARGIN + CUBE_SIZE * 6, y=MARGIN + CUBE_SIZE * 2, pos="right"),
Cube(type=self.shape, x=MARGIN + CUBE_SIZE * 6, y=MARGIN + CUBE_SIZE * 1, pos="top_right")
]
def spin_tetrimino(self, grid):
self.spin_tetrimino_3X3(grid) | 39.033457 | 113 | 0.564762 | 1,475 | 10,500 | 3.781017 | 0.081356 | 0.111888 | 0.148108 | 0.085351 | 0.789313 | 0.742155 | 0.728707 | 0.649453 | 0.62184 | 0.601399 | 0 | 0.034699 | 0.300095 | 10,500 | 269 | 114 | 39.033457 | 0.72418 | 0.03581 | 0 | 0.464455 | 0 | 0 | 0.040418 | 0 | 0 | 0 | 0 | 0 | 0.004739 | 1 | 0.113744 | false | 0.004739 | 0.018957 | 0.009479 | 0.227488 | 0.009479 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
c422fdf80d7c357a3fd3ccc97e09ec30dc957c3f | 1,094 | py | Python | app/util.py | KingsleyBell/anna_website | 280ab439ca2351ba204bb6117748d537af03e8b1 | [
"MIT"
] | null | null | null | app/util.py | KingsleyBell/anna_website | 280ab439ca2351ba204bb6117748d537af03e8b1 | [
"MIT"
] | null | null | null | app/util.py | KingsleyBell/anna_website | 280ab439ca2351ba204bb6117748d537af03e8b1 | [
"MIT"
] | null | null | null | from datetime import datetime
import json
import os
from flask import Flask
application = Flask(__name__)
@application.context_processor
def inject_now():
return {'now': datetime.utcnow().strftime('%Y-%m-%dT%H:%M:%S')}
@application.context_processor
def inject_year():
return {'year': datetime.utcnow().year}
db_path = os.path.join(application.static_folder, 'db/db.json')
about_path = os.path.join(application.static_folder, 'db/about.json')
contact_path = os.path.join(application.static_folder, 'db/contact.json')
def get_section_by_id(db, section_id):
return [s for s in db if s['id'] == section_id][0]
def update_db_file(db_file_path, new_db):
with open(db_file_path, 'w') as db_write:
db_write.write(json.dumps(new_db))
def get_image_from_db(db, section_id, image_id):
section = get_section_by_id(db, section_id)
return [i for i in section["images"] if i["id"] == image_id][0]
def delete_image_file(filename):
upload_folder = os.path.join(application.static_folder, 'images/uploads')
os.remove(os.path.join(upload_folder, filename)) | 26.682927 | 77 | 0.731261 | 175 | 1,094 | 4.32 | 0.308571 | 0.039683 | 0.066138 | 0.111111 | 0.375661 | 0.280423 | 0.236772 | 0.236772 | 0 | 0 | 0 | 0.002101 | 0.129799 | 1,094 | 41 | 78 | 26.682927 | 0.792017 | 0 | 0 | 0.08 | 0 | 0 | 0.079452 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.24 | false | 0 | 0.16 | 0.12 | 0.56 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
c44447289911936b07650070dbe523a0c2ff9b67 | 72 | py | Python | venv/Lib/site-packages/qtconsole/_version.py | BoxicaLion/BasicMathFormulas | 4d9782f2c0c75ecccf4c0ea995f324f93e4fb6e2 | [
"MIT"
] | 15 | 2020-06-29T08:33:39.000Z | 2022-02-12T00:28:51.000Z | venv/Lib/site-packages/qtconsole/_version.py | BoxicaLion/BasicMathFormulas | 4d9782f2c0c75ecccf4c0ea995f324f93e4fb6e2 | [
"MIT"
] | 10 | 2019-12-28T21:31:19.000Z | 2020-04-12T20:01:58.000Z | venv/Lib/site-packages/qtconsole/_version.py | BoxicaLion/BasicMathFormulas | 4d9782f2c0c75ecccf4c0ea995f324f93e4fb6e2 | [
"MIT"
] | 11 | 2020-06-29T08:40:24.000Z | 2022-02-24T17:39:16.000Z | version_info = (4, 7, 3)
__version__ = '.'.join(map(str, version_info))
| 24 | 46 | 0.666667 | 11 | 72 | 3.818182 | 0.727273 | 0.52381 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.047619 | 0.125 | 72 | 2 | 47 | 36 | 0.619048 | 0 | 0 | 0 | 0 | 0 | 0.013889 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
c450b542724c1b5dd04f4ee473712ef9b05fcac4 | 228 | py | Python | otp/movement/CMover.py | LittleNed/toontown-stride | 1252a8f9a8816c1810106006d09c8bdfe6ad1e57 | [
"Apache-2.0"
] | 3 | 2020-01-02T08:43:36.000Z | 2020-07-05T08:59:02.000Z | otp/movement/CMover.py | NoraTT/Historical-Commits-Project-Altis-Source | fe88e6d07edf418f7de6ad5b3d9ecb3d0d285179 | [
"Apache-2.0"
] | null | null | null | otp/movement/CMover.py | NoraTT/Historical-Commits-Project-Altis-Source | fe88e6d07edf418f7de6ad5b3d9ecb3d0d285179 | [
"Apache-2.0"
] | 4 | 2019-06-20T23:45:23.000Z | 2020-10-14T20:30:15.000Z | from pandac.PandaModules import *
class CMover:
def __init__(self, objNodePath, fwdSpeed=1, rotSpeed=1):
self.objNodePath = objNodePath
self.fwdSpeed = fwdSpeed
self.rotSpeed = rotSpeed
| 25.333333 | 60 | 0.653509 | 23 | 228 | 6.304348 | 0.565217 | 0.206897 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012048 | 0.27193 | 228 | 9 | 61 | 25.333333 | 0.861446 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.166667 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
c4542186007e38403036d11fefef210290a04de7 | 182 | py | Python | lightautoml/text/__init__.py | alexeytomashyov/LightAutoML | 41e8e10d430344dbdb5e39dd48342653ee31988c | [
"Apache-2.0"
] | 1 | 2021-09-03T21:37:58.000Z | 2021-09-03T21:37:58.000Z | lightautoml/text/__init__.py | alexeytomashyov/LightAutoML | 41e8e10d430344dbdb5e39dd48342653ee31988c | [
"Apache-2.0"
] | null | null | null | lightautoml/text/__init__.py | alexeytomashyov/LightAutoML | 41e8e10d430344dbdb5e39dd48342653ee31988c | [
"Apache-2.0"
] | 1 | 2021-12-08T13:52:45.000Z | 2021-12-08T13:52:45.000Z | """Provides an internal interface for working with text features."""
__all__ = ['tokenizer', 'dl_transformers', 'sentence_pooling', 'weighted_average_transformer', 'embed_dataset']
| 45.5 | 111 | 0.774725 | 20 | 182 | 6.6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.093407 | 182 | 3 | 112 | 60.666667 | 0.8 | 0.340659 | 0 | 0 | 0 | 0 | 0.710526 | 0.245614 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
c458429badd223bc17b8658102393d5f43df019f | 1,333 | py | Python | json_config.py | Gorg212/PyFlappy | 869724411de8245804079f0d6353a0ea3f6a4a74 | [
"MIT"
] | 19 | 2021-03-30T20:42:30.000Z | 2022-01-12T18:41:50.000Z | json_config.py | OmerFI/PyFlappy | e34101e130a784848da97c8ae4d8f15137d4a969 | [
"MIT"
] | null | null | null | json_config.py | OmerFI/PyFlappy | e34101e130a784848da97c8ae4d8f15137d4a969 | [
"MIT"
] | 1 | 2021-04-16T09:43:32.000Z | 2021-04-16T09:43:32.000Z | import json
language_dict = {'en': {'TEXTS': {'WINNER_TEXT': 'YOU WON!', 'LINE_TEXTS': [None, 'Coding:', 'Ömer Furkan İşleyen', 'Design:', 'Ömer Furkan İşleyen', 'Icons made by Freepik from www.flaticon.com', 'Background vector created by freepik - www.freepik.com', 'Music:', '"beeps-18 1.wav" by Greencouch ( https://freesound.org/people/Greencouch/ )', 'licensed under CCBY 3.0']}, 'IMAGES': {'PLAY_BUTTON': 'play_button_en.png', 'CONTRIBUTORS_BUTTON': 'contributors_button_en.png', 'INFO_SCREEN': 'info_screen_en.jpg'}},
'tr': {'TEXTS': {'WINNER_TEXT': 'KAZANDIN!', 'LINE_TEXTS': [None, 'Kodlama:', 'Ömer Furkan İşleyen', 'Tasarım:', 'Ömer Furkan İşleyen', 'İkonlar www.flaticon.com adresinden Freepik tarafından yapılmıştır', 'Arka plan vektörü freepik tarafından oluşturulmuştur - www.freepik.com', 'Müzik:', 'Greencouch tarafından "beeps-18 1.wav" ( https://freesound.org/people/Greencouch/ )', 'CCBY 3.0 altında lisanslıdır']}, 'IMAGES': {'PLAY_BUTTON': 'play_button_tr.png', 'CONTRIBUTORS_BUTTON': 'contributors_button_tr.png', 'INFO_SCREEN': 'info_screen_tr.jpg'}}}
config_dict = {'LEVEL': 1, 'FIRST_OPENING': True, 'LANGUAGE': 'en'}
with open("language.json", "w") as f:
json.dump(language_dict, f, indent=4)
with open("config.json", "w") as f:
json.dump(config_dict, f, indent=4)
| 102.538462 | 568 | 0.694674 | 189 | 1,333 | 4.783069 | 0.428571 | 0.011062 | 0.048673 | 0.053097 | 0.382743 | 0.035398 | 0 | 0 | 0 | 0 | 0 | 0.011111 | 0.122281 | 1,333 | 12 | 569 | 111.083333 | 0.757265 | 0 | 0 | 0 | 0 | 0.25 | 0.685087 | 0.039364 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.125 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
c45859cfffc6c3681a9b0416586a3f2b4bd04acb | 149 | py | Python | utils/__init__.py | davidhwyllie/findNeighbour4 | d42e10711e59e93ebf0e798fbb1598929f662c9c | [
"MIT"
] | null | null | null | utils/__init__.py | davidhwyllie/findNeighbour4 | d42e10711e59e93ebf0e798fbb1598929f662c9c | [
"MIT"
] | 14 | 2021-11-26T14:43:25.000Z | 2022-03-22T00:39:17.000Z | utils/__init__.py | davidhwyllie/findNeighbour4 | d42e10711e59e93ebf0e798fbb1598929f662c9c | [
"MIT"
] | null | null | null | from pathlib import Path
BASE_PATH = Path(__file__).resolve().parent.parent
DEFAULT_CONFIG_FILE = BASE_PATH / "config" / "default_test_config.json"
| 29.8 | 71 | 0.791946 | 21 | 149 | 5.142857 | 0.571429 | 0.148148 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.100671 | 149 | 4 | 72 | 37.25 | 0.80597 | 0 | 0 | 0 | 0 | 0 | 0.201342 | 0.161074 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
c458e039c403c716fcc473700f32a7112a32e95b | 63 | py | Python | learn_python/test.py | Milon34/Python_Learning | b24efbba4751ed51758bf6b907e71f384415a9d5 | [
"MIT"
] | null | null | null | learn_python/test.py | Milon34/Python_Learning | b24efbba4751ed51758bf6b907e71f384415a9d5 | [
"MIT"
] | null | null | null | learn_python/test.py | Milon34/Python_Learning | b24efbba4751ed51758bf6b907e71f384415a9d5 | [
"MIT"
] | null | null | null |
s=input()
d={}
if s in d:
print(s+str(d[s]))
d[s] += 1 | 10.5 | 22 | 0.428571 | 15 | 63 | 1.8 | 0.533333 | 0.148148 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022222 | 0.285714 | 63 | 6 | 23 | 10.5 | 0.577778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.2 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
c47cb95b9c4eb047a59c2577ead1ada49e550413 | 200 | py | Python | contests_atcoder/abc177/e_testcase.py | takelifetime/competitive-programming | e7cf8ef923ccefad39a1727ca94c610d650fcb76 | [
"BSD-2-Clause"
] | null | null | null | contests_atcoder/abc177/e_testcase.py | takelifetime/competitive-programming | e7cf8ef923ccefad39a1727ca94c610d650fcb76 | [
"BSD-2-Clause"
] | 1 | 2021-01-02T06:36:51.000Z | 2021-01-02T06:36:51.000Z | contests_atcoder/abc177/e_testcase.py | takelifetime/competitive-programming | e7cf8ef923ccefad39a1727ca94c610d650fcb76 | [
"BSD-2-Clause"
] | null | null | null | import random
with open("test.txt", "w") as f:
f.write("")
n = 100000
print(n, file=open("test.txt", "a"))
li = [random.randint(1, n) for _ in range(n)]
print(*li, file=open("test.txt", "a")) | 16.666667 | 45 | 0.59 | 36 | 200 | 3.25 | 0.583333 | 0.205128 | 0.282051 | 0.25641 | 0.273504 | 0 | 0 | 0 | 0 | 0 | 0 | 0.041916 | 0.165 | 200 | 12 | 46 | 16.666667 | 0.658683 | 0 | 0 | 0 | 0 | 0 | 0.134328 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 0.285714 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
c47ffc4ca90d2a5de11409f4ac1ccaa4da64439e | 303 | py | Python | env/lib/python3.8/site-packages/plotly/io/base_renderers.py | acrucetta/Chicago_COVI_WebApp | a37c9f492a20dcd625f8647067394617988de913 | [
"MIT",
"Unlicense"
] | 11,750 | 2015-10-12T07:03:39.000Z | 2022-03-31T20:43:15.000Z | env/lib/python3.8/site-packages/plotly/io/base_renderers.py | acrucetta/Chicago_COVI_WebApp | a37c9f492a20dcd625f8647067394617988de913 | [
"MIT",
"Unlicense"
] | 2,951 | 2015-10-12T00:41:25.000Z | 2022-03-31T22:19:26.000Z | env/lib/python3.8/site-packages/plotly/io/base_renderers.py | acrucetta/Chicago_COVI_WebApp | a37c9f492a20dcd625f8647067394617988de913 | [
"MIT",
"Unlicense"
] | 2,623 | 2015-10-15T14:40:27.000Z | 2022-03-28T16:05:50.000Z | from ._base_renderers import (
MimetypeRenderer,
PlotlyRenderer,
JsonRenderer,
ImageRenderer,
PngRenderer,
SvgRenderer,
PdfRenderer,
JpegRenderer,
HtmlRenderer,
ColabRenderer,
KaggleRenderer,
NotebookRenderer,
ExternalRenderer,
BrowserRenderer,
)
| 17.823529 | 30 | 0.69637 | 18 | 303 | 11.611111 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.247525 | 303 | 16 | 31 | 18.9375 | 0.916667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.0625 | 0 | 0.0625 | 0 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
c4873fd9674166e386ffe1608fbd5884aa234c8e | 40 | py | Python | Language Skills/Python/Unit 05 Lists & Dictionaries/02 A Day at the Supermarket/Shopping Trip/10-Shopping at the market.py | rhyep/Python_tutorials | f5c8a64b91802b005dfe7dd9035f8d8daae8c3e3 | [
"MIT"
] | 346 | 2016-02-22T20:21:10.000Z | 2022-01-27T20:55:53.000Z | Language Skills/Python/Unit 5/2-A Day at the Supermarket/Shopping Trip/10-Shopping at the market.py | vpstudios/Codecademy-Exercise-Answers | ebd0ee8197a8001465636f52c69592ea6745aa0c | [
"MIT"
] | 55 | 2016-04-07T13:58:44.000Z | 2020-06-25T12:20:24.000Z | Language Skills/Python/Unit 5/2-A Day at the Supermarket/Shopping Trip/10-Shopping at the market.py | vpstudios/Codecademy-Exercise-Answers | ebd0ee8197a8001465636f52c69592ea6745aa0c | [
"MIT"
] | 477 | 2016-02-21T06:17:02.000Z | 2021-12-22T10:08:01.000Z | groceries = ["banana","orange","apple"]
| 20 | 39 | 0.65 | 4 | 40 | 6.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.075 | 40 | 1 | 40 | 40 | 0.702703 | 0 | 0 | 0 | 0 | 0 | 0.425 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
670a5f9d771f1732c047d97f9cf5219b6b5f5643 | 310 | py | Python | array_compare.py | NathanKr/numpy-playground | 5f36f7471fd7d182a8cbb6097f5d7332991bc7de | [
"MIT"
] | null | null | null | array_compare.py | NathanKr/numpy-playground | 5f36f7471fd7d182a8cbb6097f5d7332991bc7de | [
"MIT"
] | null | null | null | array_compare.py | NathanKr/numpy-playground | 5f36f7471fd7d182a8cbb6097f5d7332991bc7de | [
"MIT"
] | null | null | null | import numpy as np
ar1 = np.array([1,2,3])
ar2 = np.array([4,5,6])
ar3 = np.array([1,2,3])
# compare array , == compare the data element wise
print(ar1 == ar1)
print(ar1 == ar3)
print(ar1 == ar2)
# compare array
print(np.array_equal(ar1, ar1))
print(np.array_equal(ar1, ar3))
print(np.array_equal(ar1, ar2)) | 20.666667 | 50 | 0.670968 | 58 | 310 | 3.534483 | 0.362069 | 0.204878 | 0.17561 | 0.24878 | 0.390244 | 0 | 0 | 0 | 0 | 0 | 0 | 0.089888 | 0.13871 | 310 | 15 | 51 | 20.666667 | 0.677903 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.1 | 0 | 0.1 | 0.6 | 0 | 0 | 0 | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 |
67269b726ec85ac0110308ac4c71fb589e74a716 | 226 | py | Python | maas/app.py | ThalesSathler/maas-power | 094d5c68fe0c962185a0cbac1672d4b70a1dd42a | [
"MIT"
] | null | null | null | maas/app.py | ThalesSathler/maas-power | 094d5c68fe0c962185a0cbac1672d4b70a1dd42a | [
"MIT"
] | 4 | 2019-06-13T19:44:12.000Z | 2021-06-01T23:55:14.000Z | maas/app.py | ThalesSathler/maas-power | 094d5c68fe0c962185a0cbac1672d4b70a1dd42a | [
"MIT"
] | 1 | 2019-06-18T19:50:55.000Z | 2019-06-18T19:50:55.000Z | from aiohttp import web
from asyncworker import App, RouteTypes
app = App("", "", "", 1)
@app.route(["/"], type=RouteTypes.HTTP, methods=["POST"])
async def operation(request: web.Request):
return web.json_response({})
| 22.6 | 57 | 0.681416 | 29 | 226 | 5.275862 | 0.689655 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005128 | 0.137168 | 226 | 9 | 58 | 25.111111 | 0.779487 | 0 | 0 | 0 | 0 | 0 | 0.022124 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
672c30f63ccc8cf75fdbbfda0dbb890a64dc6cc9 | 112 | py | Python | examples/python/example_1.py | dom-lis/tulip | b9b5645b4233befc79729eeb3ba6f9b3ecb14553 | [
"MIT"
] | 2 | 2021-07-27T19:33:39.000Z | 2021-12-23T19:45:30.000Z | examples/python/example_1.py | dom-lis/tulip | b9b5645b4233befc79729eeb3ba6f9b3ecb14553 | [
"MIT"
] | null | null | null | examples/python/example_1.py | dom-lis/tulip | b9b5645b4233befc79729eeb3ba6f9b3ecb14553 | [
"MIT"
] | null | null | null | from _cmn import flush_line
while True:
i = input()
if i == 'key:Esc':
break
flush_line(i)
| 14 | 27 | 0.571429 | 17 | 112 | 3.588235 | 0.764706 | 0.295082 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.321429 | 112 | 7 | 28 | 16 | 0.802632 | 0 | 0 | 0 | 0 | 0 | 0.0625 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
6744ce1abaa78bbe19a5d2085f00b1afe7d0a214 | 487 | py | Python | models/layers/common/sentence.py | 20000607-lxc/BERT-NER-Pytorch-master | 47f2e1291ab53674986eb91abdb72693eafe9b61 | [
"MIT"
] | null | null | null | models/layers/common/sentence.py | 20000607-lxc/BERT-NER-Pytorch-master | 47f2e1291ab53674986eb91abdb72693eafe9b61 | [
"MIT"
] | null | null | null | models/layers/common/sentence.py | 20000607-lxc/BERT-NER-Pytorch-master | 47f2e1291ab53674986eb91abdb72693eafe9b61 | [
"MIT"
] | null | null | null | #
# @author: Allan
#
from typing import List
class Sentence:
def __init__(self, words: List[str], heads: List[int]=None , dep_labels: List[str]=None, pos_tags:List[str] = None):
self.words = words
self.heads = heads
self.dep_labels = dep_labels
self.pos_tags = pos_tags
def __len__(self):
return len(self.words)
# if __name__ == "__main__":
#
# words = ["a" ,"sdfsdf"]
# sent = Sentence(words)
#
# print(len(sent)) | 16.233333 | 120 | 0.595483 | 63 | 487 | 4.253968 | 0.460317 | 0.100746 | 0.08209 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.264887 | 487 | 30 | 121 | 16.233333 | 0.748603 | 0.240246 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0 | 0.111111 | 0.111111 | 0.555556 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
67593d4a846b76ae2244cc058e2ede2fec48a12d | 372 | py | Python | mmdet/ops/psroi_align_rotated/setup.py | TJUsym/TJU_Advanced_CV_Homework | 2d85943390e9ba53b80988e0ab8d50aef0cd17da | [
"Apache-2.0"
] | 643 | 2020-01-28T11:29:49.000Z | 2022-03-31T08:28:32.000Z | mmdet/ops/psroi_align_rotated/setup.py | TJUsym/TJU_Advanced_CV_Homework | 2d85943390e9ba53b80988e0ab8d50aef0cd17da | [
"Apache-2.0"
] | 148 | 2021-03-18T09:44:02.000Z | 2022-03-31T06:01:39.000Z | mmdet/ops/psroi_align_rotated/setup.py | TJUsym/TJU_Advanced_CV_Homework | 2d85943390e9ba53b80988e0ab8d50aef0cd17da | [
"Apache-2.0"
] | 197 | 2020-01-29T09:58:27.000Z | 2022-03-25T12:08:56.000Z | from setuptools import setup
from torch.utils.cpp_extension import BuildExtension, CUDAExtension
setup(
name='psroi_align_rotated_cuda',
ext_modules=[
CUDAExtension('psroi_align_rotated_cuda', [
'src/psroi_align_rotated_cuda.cpp',
'src/psroi_align_rotated_kernel.cu',
]),
],
cmdclass={'build_ext': BuildExtension})
| 28.615385 | 67 | 0.693548 | 41 | 372 | 5.926829 | 0.536585 | 0.164609 | 0.279835 | 0.259259 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.206989 | 372 | 12 | 68 | 31 | 0.823729 | 0 | 0 | 0 | 0 | 0 | 0.327957 | 0.303763 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.181818 | 0 | 0.181818 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
675ff1661e5caf39a727dd71ad91cb58081a049b | 912 | py | Python | src/geocat/comp/errors.py | erogluorhan/geocat-comp | eb42aec750e42303e6e67d664d54ace8b0cae126 | [
"Apache-2.0"
] | 76 | 2019-09-20T20:13:45.000Z | 2022-03-30T22:50:13.000Z | src/geocat/comp/errors.py | erogluorhan/geocat-comp | eb42aec750e42303e6e67d664d54ace8b0cae126 | [
"Apache-2.0"
] | 154 | 2019-07-24T20:02:27.000Z | 2022-03-29T20:32:20.000Z | src/geocat/comp/errors.py | erogluorhan/geocat-comp | eb42aec750e42303e6e67d664d54ace8b0cae126 | [
"Apache-2.0"
] | 34 | 2019-07-18T20:02:38.000Z | 2022-03-31T13:40:22.000Z | class Error(Exception):
"""Base class for exceptions in this module."""
pass
class AttributeError(Error):
"""Exception raised when the arguments of GeoCAT-comp functions argument
has a mismatch of attributes with other arguments."""
pass
class ChunkError(Error):
"""Exception raised when a Dask array is chunked in a way that is
incompatible with an f2py function."""
pass
class CoordinateError(Error):
"""Exception raised when a GeoCAT-comp function is passed a NumPy array as
an argument without a required coordinate array being passed separately."""
pass
class DimensionError(Error):
"""Exception raised when the arguments of GeoCAT-comp functions argument
has a mismatch of the necessary dimensionality."""
pass
class MetaError(Error):
"""Exception raised when the support for the retention of metadata is not
supported."""
pass
| 26.823529 | 79 | 0.723684 | 120 | 912 | 5.5 | 0.458333 | 0.127273 | 0.151515 | 0.181818 | 0.356061 | 0.239394 | 0.239394 | 0.239394 | 0.239394 | 0.239394 | 0 | 0.001383 | 0.207237 | 912 | 33 | 80 | 27.636364 | 0.91148 | 0.664474 | 0 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.5 | 0 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
6760f252df0f29983ee33f9395f868e86520ec50 | 176 | py | Python | 1044 - Multiplos.py | le16bits/URI---Python | 9d22ae74f008104bc9c3c0e2d5f8cd59303bc1db | [
"Apache-2.0"
] | null | null | null | 1044 - Multiplos.py | le16bits/URI---Python | 9d22ae74f008104bc9c3c0e2d5f8cd59303bc1db | [
"Apache-2.0"
] | null | null | null | 1044 - Multiplos.py | le16bits/URI---Python | 9d22ae74f008104bc9c3c0e2d5f8cd59303bc1db | [
"Apache-2.0"
] | null | null | null | vl=input().split()
A=int(vl[0])
B=int(vl[1])
if A==B:
print("Nao sao Multiplos")
elif A%B==0 or B%A==0:
print("Sao Multiplos")
else:
print("Nao sao Multiplos")
| 16 | 31 | 0.585227 | 34 | 176 | 3.029412 | 0.470588 | 0.349515 | 0.213592 | 0.38835 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.028169 | 0.193182 | 176 | 10 | 32 | 17.6 | 0.697183 | 0 | 0 | 0.222222 | 0 | 0 | 0.267045 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.333333 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
676175ab9dc8bd9abb907c2abe2280ac8fb6f4c9 | 24,098 | py | Python | aleph/tests/test_entities_api.py | tolgatasci/aleph | fe5f16f40bc6e7b5882e6efec98d043882534675 | [
"MIT"
] | 1,213 | 2017-03-15T08:10:52.000Z | 2022-03-29T13:57:44.000Z | aleph/tests/test_entities_api.py | tolgatasci/aleph | fe5f16f40bc6e7b5882e6efec98d043882534675 | [
"MIT"
] | 1,374 | 2017-03-14T18:23:10.000Z | 2022-03-31T18:42:20.000Z | aleph/tests/test_entities_api.py | malteos/qaleph | b1ab64e9595ac20358bb122cfa919502d10d1dd4 | [
"MIT"
] | 217 | 2017-03-17T12:04:22.000Z | 2022-03-20T11:17:16.000Z | import json
import datetime
import logging
from pprint import pformat
from followthemoney.types import registry
from aleph.core import db, settings
from aleph.index.entities import index_entity
from aleph.views.util import validate
from aleph.tests.util import TestCase, get_caption, JSON
log = logging.getLogger(__name__)
class EntitiesApiTestCase(TestCase):
def setUp(self):
super(EntitiesApiTestCase, self).setUp()
self.rolex = self.create_user(foreign_id="user_3")
self.col = self.create_collection()
book = {
"schema": "PlainText",
"properties": {
"name": "The Book",
"fileName": "book.txt",
},
}
self.book = self.create_entity(book, self.col)
self.book_id = self.col.ns.sign(self.book.id)
self.data = {
"schema": "LegalEntity",
"properties": {
"name": "Winnie the Pooh",
"country": "pa",
"proof": self.book_id,
"incorporationDate": datetime.datetime(
1926, 12, 24
).isoformat(), # noqa
},
}
self.ent = self.create_entity(self.data, self.col)
self.id = self.col.ns.sign(self.ent.id)
self.data2 = {
"schema": "LegalEntity",
"properties": {
"name": "Tom & Jerry",
"country": "pa",
"proof": self.book_id,
"incorporationDate": datetime.datetime(1940, 2, 10).isoformat(), # noqa
},
}
self.ent2 = self.create_entity(self.data2, self.col)
self.id2 = self.col.ns.sign(self.ent2.id)
db.session.commit()
self.col_id = str(self.col.id)
index_entity(self.book)
index_entity(self.ent)
index_entity(self.ent2)
def test_index(self):
url = "/api/2/entities?filter:schemata=Thing"
res = self.client.get(url + "&facet=collection_id")
assert res.status_code == 200, res
assert res.json["total"] == 0, res.json
assert len(res.json["facets"]["collection_id"]["values"]) == 0, res.json
settings.REQUIRE_LOGGED_IN = True
res = self.client.get(url)
assert res.status_code == 403, res
settings.REQUIRE_LOGGED_IN = False
_, headers = self.login(is_admin=True)
res = self.client.get(url + "&facet=collection_id", headers=headers)
assert res.status_code == 200, res
assert res.json["total"] == 3, res.json
assert len(res.json["facets"]["collection_id"]["values"]) == 1, res.json
col0 = res.json["facets"]["collection_id"]["values"][0]
assert col0["id"] == self.col_id, res.json
assert col0["label"] == self.col.label, res.json
assert len(res.json["facets"]) == 1, res.json
res = self.client.get(url + "&facet=countries", headers=headers)
assert len(res.json["facets"]) == 1, res.json
assert "values" in res.json["facets"]["countries"], res.json
validate(res.json["results"][0], "Entity")
def test_export(self):
self.load_fixtures()
url = "/api/2/search/export?filter:schemata=Thing&q=pakistan"
res = self.client.post(url)
assert res.status_code == 403, res
_, headers = self.login(is_admin=True)
res = self.client.post(url, headers=headers)
assert res.status_code == 202, res
def test_view(self):
url = "/api/2/entities/%s" % self.id
res = self.client.get(url)
assert res.status_code == 403, res
_, headers = self.login(is_admin=True)
res = self.client.get(url, headers=headers)
assert res.status_code == 200, res
assert "LegalEntity" in res.json["schema"], res.json
assert "Winnie" in get_caption(res.json), res.json
validate(res.json, "Entity")
def test_update(self):
_, headers = self.login(is_admin=True)
url = "/api/2/entities/%s" % self.id
res = self.client.get(url, headers=headers)
assert res.status_code == 200, res
data = res.json
data["properties"]["name"] = ["Winne the little Shit"]
res = self.client.post(
url, data=json.dumps(data), headers=headers, content_type=JSON
)
assert res.status_code == 200, res.json
validate(res.json, "Entity")
assert "little" in get_caption(res.json), res.json
data["properties"].pop("name", None)
res = self.client.post(
url + "?validate=true",
data=json.dumps(data),
headers=headers,
content_type=JSON,
)
assert res.status_code == 400, res.json
def test_create(self):
_, headers = self.login(is_admin=True)
url = "/api/2/entities"
data = {
"schema": "RealEstate",
"collection_id": self.col_id,
"properties": {
"name": "Our house",
"summary": "In the middle of our street",
},
}
res = self.client.post(
url, data=json.dumps(data), headers=headers, content_type=JSON
)
assert res.status_code == 200, res.json
assert "middle" in res.json["properties"]["summary"][0], res.json
validate(res.json, "Entity")
def test_create_collection_object(self):
_, headers = self.login(is_admin=True)
url = "/api/2/entities"
data = {
"schema": "RealEstate",
"collection": {"id": self.col_id, "label": "blaaa"},
"properties": {
"name": "Our house",
"summary": "In the middle of our street",
},
}
res = self.client.post(
url, data=json.dumps(data), headers=headers, content_type=JSON
)
assert res.status_code == 200, res.json
assert res.json["collection"]["id"] == self.col_id, res.json
validate(res.json, "Entity")
def test_create_nested(self):
_, headers = self.login(is_admin=True)
url = "/api/2/entities"
data = {
"schema": "Person",
"collection_id": self.col_id,
"properties": {
"name": "Osama bin Laden",
"alias": ["Usama bin Laden", "Osama bin Ladin"],
"address": "Home, Netherlands",
},
}
res = self.client.post(
url, data=json.dumps(data), headers=headers, content_type=JSON
)
assert res.status_code == 200, res.json
assert 2 == len(res.json["properties"].get("alias", [])), res.json
def test_remove_nested(self):
_, headers = self.login(is_admin=True)
url = "/api/2/entities"
data = {
"schema": "Person",
"collection_id": self.col_id,
"properties": {
"name": "Osama bin Laden",
"alias": ["Usama bin Laden", "Osama bin Ladin"],
},
}
res = self.client.post(
url, data=json.dumps(data), headers=headers, content_type=JSON
)
assert res.status_code == 200, (res.status_code, res.json)
data = res.json
data["properties"]["alias"].pop()
assert 1 == len(data["properties"]["alias"]), data
url = "/api/2/entities/%s" % data["id"]
res = self.client.post(
url, data=json.dumps(data), headers=headers, content_type=JSON
)
assert res.status_code == 200, (res.status_code, res.json)
assert 1 == len(res.json["properties"].get("alias")), res.json
def test_delete_entity(self):
_, headers = self.login(is_admin=True)
url = "/api/2/entities"
data = {
"schema": "Person",
"properties": {
"name": "Osama bin Laden",
},
"collection_id": self.col_id,
}
res = self.client.post(
url, data=json.dumps(data), headers=headers, content_type=JSON
)
assert res.status_code == 200, (res.status_code, res.json)
data = res.json
url = "/api/2/entities/%s" % data["id"]
res = self.client.delete(url, headers=headers)
assert res.status_code == 204, res.status_code
res = self.client.get(url, headers=headers)
assert res.status_code == 404, res.status_code
def test_similar_entity(self):
_, headers = self.login(is_admin=True)
url = "/api/2/entities"
data = {
"schema": "Person",
"collection_id": self.col_id,
"properties": {"name": "Osama bin Laden"},
}
res = self.client.post(
url, data=json.dumps(data), headers=headers, content_type=JSON
)
data = {
"schema": "Person",
"collection_id": self.col_id,
"properties": {"name": "Osama bin Laden"},
}
obj = self.client.post(
url, data=json.dumps(data), headers=headers, content_type=JSON
)
url = "/api/2/entities/%s/similar" % obj.json["id"]
similar = self.client.get(url, headers=headers)
assert similar.status_code == 200, (similar.status_code, similar.json)
text = similar.data.decode("utf-8")
assert obj.json["id"] not in text, obj.id
assert obj.json["id"] not in text, obj.id
data = similar.json
assert len(data["results"]) == 1, data
assert "Laden" in get_caption(data["results"][0]["entity"]), data
assert b"Pooh" not in res.data, res.data
validate(data["results"][0], "Entity")
def test_match(self):
_, headers = self.login(is_admin=True)
data = {
"schema": "Person",
"collection_id": self.col_id,
"properties": {
"name": "Osama bin Laden",
},
}
res = self.client.post(
"/api/2/entities",
data=json.dumps(data),
headers=headers,
content_type=JSON,
)
data = {
"schema": "Person",
"properties": {
"name": "Osama bin Laden",
},
}
matches = self.client.post(
"/api/2/match",
data=json.dumps(data),
headers=headers,
content_type=JSON,
)
assert matches.status_code == 200, (matches.status_code, matches.json)
data = matches.json
assert len(data["results"]) == 1, data
assert "Laden" in get_caption(data["results"][0]), data
assert b"Pooh" not in res.data, res.data
validate(data["results"][0], "Entity")
def test_entity_tags(self):
_, headers = self.login(is_admin=True)
url = "/api/2/entities"
data = {
"schema": "Person",
"collection_id": self.col_id,
"properties": {
"name": "Blaaaa blubb",
"phone": ["+491769817271", "+491769817999"],
},
}
resa = self.client.post(
url, data=json.dumps(data), headers=headers, content_type=JSON
)
data = {
"schema": "Person",
"collection_id": self.col_id,
"properties": {
"name": "Nobody Man",
"phone": ["+491769817271", "+491769817777"],
},
}
resa = self.client.post(
url, data=json.dumps(data), headers=headers, content_type=JSON
)
url = "/api/2/entities/%s/tags" % resa.json["id"]
res = self.client.get(url, headers=headers)
assert res.status_code == 200, (res.status_code, res.json)
results = res.json["results"]
assert len(results) == 1, results
assert results[0]["value"] == "+491769817271", results
validate(res.json["results"][0], "EntityTag")
def test_undelete(self):
_, headers = self.login(is_admin=True)
url = "/api/2/entities"
data = {
"schema": "Person",
"properties": {
"name": "Mr. Mango",
},
"collection_id": self.col_id,
}
res = self.client.post(
url, data=json.dumps(data), headers=headers, content_type=JSON
)
assert res.status_code == 200, (res.status_code, res.json)
id1 = res.json["id"]
url = "/api/2/entities/%s" % id1
res = self.client.delete(url, headers=headers)
assert res.status_code == 204, res.status_code
res = self.client.get(url, headers=headers)
assert res.status_code == 404, res.status_code
# test undelete with property update
url = "/api/2/entities/%s" % id1
data = {
"schema": "Person",
"properties": {
"name": "Mr. Mango",
"status": "ripe",
},
"collection_id": self.col_id,
}
res = self.client.post(
url, data=json.dumps(data), headers=headers, content_type=JSON
)
assert res.status_code == 200, res.status_code
validate(res.json, "Entity")
assert res.json["properties"]["name"] == ["Mr. Mango"], res.json
assert res.json["properties"]["status"] == ["ripe"], res.json
url = "/api/2/entities/%s" % id1
res = self.client.get(url, headers=headers)
assert res.status_code == 200, res.status_code
assert res.json["properties"]["name"] == ["Mr. Mango"], res.json
assert res.json["properties"]["status"] == ["ripe"], res.json
# Test undelete existing entity
url = "/api/2/entities/%s" % id1
data = {
"schema": "Person",
"properties": {
"name": "Mr. Mango",
"status": "ripe",
"email": "mango@mango.yum",
},
}
res = self.client.post(
url, data=json.dumps(data), headers=headers, content_type=JSON
)
assert res.status_code == 200, res.status_code
validate(res.json, "Entity")
assert res.json["properties"]["name"] == ["Mr. Mango"], res.json
assert res.json["properties"]["status"] == ["ripe"], res.json
assert res.json["properties"]["email"] == ["mango@mango.yum"], res.json
# test create entity with undelete
id2 = "randomid"
url = "/api/2/entities/%s" % id2
data = {
"schema": "Person",
"properties": {
"name": "Mr. Banana",
},
}
res = self.client.post(
url, data=json.dumps(data), headers=headers, content_type=JSON
)
assert res.status_code == 404, res.status_code
data["collection_id"] = self.col_id
res = self.client.post(
url, data=json.dumps(data), headers=headers, content_type=JSON
)
assert res.status_code == 200, res.status_code
validate(res.json, "Entity")
assert res.json["id"] != id2, res.json
assert res.json["properties"]["name"] == ["Mr. Banana"], res.json
def test_recursive_delete(self):
_, headers = self.login(is_admin=True)
url = "/api/2/entities"
headers["Content-Type"] = JSON
data1 = json.dumps(
{
"schema": "Person",
"properties": {
"name": "Osama bin Laden",
},
"collection_id": self.col_id,
}
)
res1 = self.client.post(url, data=data1, headers=headers)
id1 = res1.json["id"]
data2 = json.dumps(
{
"schema": "Organization",
"properties": {
"name": "Al-Qaeda",
},
"collection_id": self.col_id,
}
)
res2 = self.client.post(url, data=data2, headers=headers)
id2 = res2.json["id"]
data3 = json.dumps(
{
"schema": "Membership",
"properties": {"member": id1, "organization": id2},
"collection_id": self.col_id,
}
)
res3 = self.client.post(url, data=data3, headers=headers)
id3 = res3.json["id"]
# Deleting a thing, deletes associated edge.
url = "/api/2/entities/%s" % id1
res = self.client.delete(url, headers=headers)
assert res.status_code == 204, res.status_code
url = "/api/2/entities/%s" % id3
res = self.client.get(url, headers=headers)
assert res.status_code == 404, res.status_code
url = "/api/2/entities/%s" % id2
res = self.client.get(url, headers=headers)
assert res.status_code == 200, res.status_code
# undelete
url = "/api/2/entities/%s" % id1
res = self.client.post(url, data=data1, headers=headers)
assert res.json["id"] == id1, (res.json["id"], id1)
url = "/api/2/entities/%s" % id3
self.client.post(url, data=data3, headers=headers)
url = "/api/2/entities/%s" % id1
res = self.client.get(url, headers=headers)
assert res.status_code == 200, res.status_code
url = "/api/2/entities/%s" % id3
res = self.client.get(url, headers=headers)
assert res.status_code == 200, res.status_code
# Deleting a edge, should not delete associated things
url = "/api/2/entities/%s" % id3
res = self.client.delete(url, headers=headers)
assert res.status_code == 204, res.status_code
url = "/api/2/entities/%s" % id1
res = self.client.get(url, headers=headers)
assert res.status_code == 200, res.status_code
url = "/api/2/entities/%s" % id2
res = self.client.get(url, headers=headers)
assert res.status_code == 200, res.status_code
def test_sort_by_date(self):
_, headers = self.login(is_admin=True)
url = "/api/2/entities?filter:schemata=Thing&sort=dates%3Aasc"
res = self.client.get(url, headers=headers, content_type=JSON)
assert res.json["results"][0]["id"] == self.ent.id, res.json
assert res.json["results"][1]["id"] == self.ent2.id, res.json
assert res.json["results"][2]["id"] == self.book.id, res.json
url = "/api/2/entities?filter:schemata=Thing&sort=dates%3Adesc"
res = self.client.get(url, headers=headers, content_type=JSON)
assert res.json["results"][0]["id"] == self.ent2.id, res.json
assert res.json["results"][1]["id"] == self.ent.id, res.json
assert res.json["results"][2]["id"] == self.book.id, res.json
def test_expand(self):
_, headers = self.login(is_admin=True)
url = "/api/2/entities"
data = {
"schema": "Person",
"collection_id": self.col_id,
"properties": {
"name": "Osama bin Laden",
"email": ["osama@al-qaeda.org", "o@laden.me"],
"status": "dead",
"nationality": "sa",
},
}
person1 = self.client.post(
url, data=json.dumps(data), headers=headers, content_type=JSON
)
data = {
"schema": "Passport",
"collection_id": self.col_id,
"properties": {
"passportNumber": "A1B2C3",
"holder": person1.json["id"],
},
}
passport = self.client.post(
url, data=json.dumps(data), headers=headers, content_type=JSON
)
col2 = self.create_collection()
data = {
"schema": "Person",
"collection_id": str(col2.id),
"properties": {
"name": "John Doe",
"email": "osama@al-qaeda.org",
},
}
person1_in_other_collection = self.client.post( # noqa
url, data=json.dumps(data), headers=headers, content_type=JSON
)
data = {
"schema": "Person",
"collection_id": self.col_id,
"properties": {
"name": "Undercover Osama",
"email": "osama@al-qaeda.org",
},
}
self.client.post(
url,
data=json.dumps(data),
headers=headers,
content_type=JSON,
)
data = {
"schema": "Person",
"collection_id": self.col_id,
"properties": {
"name": "John Doe",
"email": ["osama@al-qaeda.org", "john@doe.me"],
"nationality": "sa",
},
}
self.client.post(
url,
data=json.dumps(data),
headers=headers,
content_type=JSON,
)
data = {
"schema": "Person",
"collection_id": self.col_id,
"properties": {
"name": "Dead Guy 1",
"status": "dead",
},
}
self.client.post(
url,
data=json.dumps(data),
headers=headers,
content_type=JSON,
)
data = {
"schema": "Company",
"collection_id": self.col_id,
"properties": {
"name": "Al-Qaeda",
},
}
company1 = self.client.post(
url, data=json.dumps(data), headers=headers, content_type=JSON
)
data = {
"schema": "Ownership",
"collection_id": self.col_id,
"properties": {
"owner": person1.json["id"],
"asset": company1.json["id"],
},
}
self.client.post(
url,
data=json.dumps(data),
headers=headers,
content_type=JSON,
)
url = "/api/2/entities/%s/expand?limit=100" % (person1.json["id"])
res = self.client.get(url, headers=headers)
assert res.status_code == 200, (res.status_code, res.json)
validate(res.json, "EntityExpand")
assert res.json["total"] == 2, pformat(res.json)
results = res.json["results"]
assert len(results) == 2, pformat(results)
for res in results:
prop = res["property"]
assert prop in (
"identificiation",
"ownershipOwner",
), results
if prop == "ownershipOwner":
assert res["count"] == 1
assert len(res["entities"]) == 2
for nested in res["entities"]:
assert nested["schema"] in ("Ownership", "Company"), nested
if prop == "identificiation":
assert res["count"] == 1
assert res["entities"][0]["schema"] == "Passport", res
url = "/api/2/entities/%s/expand" % (company1.json["id"])
res = self.client.get(url, headers=headers)
assert res.status_code == 200, (res.status_code, res.json)
validate(res.json, "EntityExpand")
assert res.json["total"] == 1, pformat(res.json)
results = res.json["results"]
assert len(results) == 1, pformat(results)
for res in results:
prop = res["property"]
assert prop == "ownershipAsset", prop
assert res["count"] == 1
# assert res['entities'][0]['name'] == 'Osama bin Laden'
url = "/api/2/entities/%s/expand"
url = url % passport.json["id"]
res = self.client.get(url, headers=headers)
assert res.status_code == 200, (res.status_code, res.json)
validate(res.json, "EntityExpand")
assert res.json["total"] == 1, pformat(res.json)
results = res.json["results"]
assert len(results) == 1, pformat(results)
for res in results:
prop = res["property"]
assert prop == "holder", prop
assert res["count"] == 1, pformat(res)
assert len(res["entities"]) == 1, pformat(res)
| 36.6231 | 88 | 0.523612 | 2,692 | 24,098 | 4.598068 | 0.090639 | 0.057683 | 0.066166 | 0.058329 | 0.768299 | 0.732025 | 0.702375 | 0.681047 | 0.648166 | 0.616174 | 0 | 0.02151 | 0.330567 | 24,098 | 657 | 89 | 36.678843 | 0.745785 | 0.011287 | 0 | 0.565574 | 0 | 0 | 0.164644 | 0.013983 | 0 | 0 | 0 | 0 | 0.163934 | 1 | 0.027869 | false | 0.009836 | 0.014754 | 0 | 0.044262 | 0.001639 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
6777bcc8808e02de19da88637c788f622e6661ba | 942 | py | Python | routines/convert.py | meteostat/routines | 8867b96a3fcb254ebcc9623933a76dac44157b70 | [
"MIT"
] | 7 | 2020-07-02T09:49:06.000Z | 2021-05-24T11:46:00.000Z | routines/convert.py | meteostat/routines | 8867b96a3fcb254ebcc9623933a76dac44157b70 | [
"MIT"
] | 16 | 2021-03-29T19:45:01.000Z | 2021-11-14T11:39:12.000Z | routines/convert.py | meteostat/routines | 8867b96a3fcb254ebcc9623933a76dac44157b70 | [
"MIT"
] | 1 | 2021-04-06T20:58:42.000Z | 2021-04-06T20:58:42.000Z | import math
from numpy import isnan
# Convert Kelvin to Celsius
def kelvin_to_celsius(value):
return value - 273.15 if value is not None else None
# Convert m/s to km/h
def ms_to_kmh(value):
return value * 3.6 if value is not None else None
# Get relative humidity from temperature and dew point
def temp_dwpt_to_rhum(row: dict):
return 100 * (math.exp((17.625 * row['dwpt']) / (243.04 + row['dwpt'])) / math.exp((17.625 * row['temp']) / (
243.04 + row['temp']))) if row['temp'] is not None and row['dwpt'] is not None else None
def pres_to_msl(row: dict, altitude: int = None, temp: str = 'tavg'):
try:
return None if isnan(row['pres']) or isnan(row[temp]) or isnan(altitude) or altitude is None or row['pres'] == - \
999 else round(row['pres'] * math.pow((1 - ((0.0065 * altitude) / (row[temp] + 0.0065 * altitude + 273.15))), -5.257), 1)
except BaseException:
return None
| 31.4 | 133 | 0.636943 | 157 | 942 | 3.764331 | 0.401274 | 0.059222 | 0.060914 | 0.06599 | 0.160745 | 0.081218 | 0.081218 | 0 | 0 | 0 | 0 | 0.073171 | 0.216561 | 942 | 29 | 134 | 32.482759 | 0.727642 | 0.104034 | 0 | 0 | 0 | 0 | 0.047619 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.266667 | false | 0 | 0.133333 | 0.2 | 0.733333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
677f4d9d18bd055d71526f163855ffb374bed024 | 192 | py | Python | dla/linalg/__init__.py | mp4096/dla | a3a1ae1c86abe62e321ca2d2fba89d30c39ba6ef | [
"BSD-3-Clause"
] | null | null | null | dla/linalg/__init__.py | mp4096/dla | a3a1ae1c86abe62e321ca2d2fba89d30c39ba6ef | [
"BSD-3-Clause"
] | null | null | null | dla/linalg/__init__.py | mp4096/dla | a3a1ae1c86abe62e321ca2d2fba89d30c39ba6ef | [
"BSD-3-Clause"
] | null | null | null | """Linear algebra submodule."""
from .linalg_helpers import (
log_rel_error,
modified_gram_schmidt,
online_variance,
projector_onto_kernel,
)
from .arnoldi import arnoldi
| 19.2 | 31 | 0.729167 | 22 | 192 | 6 | 0.863636 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.192708 | 192 | 9 | 32 | 21.333333 | 0.851613 | 0.130208 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.285714 | 0 | 0.285714 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
6788dc31d002251d2bdedb01bbb76e6a60cd9f4f | 3,993 | py | Python | src/python/dxpy/templating/templates/python/parallelized/src/code.py | scalavision/dx-toolkit | e4a2361b3bb6424d7e1ad2bcfc65d649b02d0496 | [
"Apache-2.0"
] | null | null | null | src/python/dxpy/templating/templates/python/parallelized/src/code.py | scalavision/dx-toolkit | e4a2361b3bb6424d7e1ad2bcfc65d649b02d0496 | [
"Apache-2.0"
] | null | null | null | src/python/dxpy/templating/templates/python/parallelized/src/code.py | scalavision/dx-toolkit | e4a2361b3bb6424d7e1ad2bcfc65d649b02d0496 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# DX_APP_WIZARD_NAME DX_APP_WIZARD_VERSION
# Generated by dx-app-wizard.
#
# Parallelized execution pattern: Your app will generate multiple jobs
# to perform some computation in parallel, followed by a final
# "postprocess" stage that will perform any additional computations as
# necessary.
#
# See https://wiki.dnanexus.com/Developer-Portal for documentation and
# tutorials on how to modify this file.
#
# DNAnexus Python Bindings (dxpy) documentation:
# http://autodoc.dnanexus.com/bindings/python/current/
import os
import dxpy
@dxpy.entry_point("postprocess")
def postprocess(process_outputs):
# Change the following to process whatever input this stage
# receives. You may also want to copy and paste the logic to download
# and upload files here as well if this stage receives file input
# and/or makes file output.
for output in process_outputs:
pass
return { "answer": "placeholder value" }
@dxpy.entry_point("process")
def process(input1):
# Change the following to process whatever input this stage
# receives. You may also want to copy and paste the logic to download
# and upload files here as well if this stage receives file input
# and/or makes file output.
print input1
return { "output": "placeholder value" }
@dxpy.entry_point("main")
def main(DX_APP_WIZARD_INPUT_SIGNATURE):
DX_APP_WIZARD_INITIALIZE_INPUTDX_APP_WIZARD_DOWNLOAD_ANY_FILES
# Split your work into parallel tasks. As an example, the
# following generates 10 subjobs running with the same dummy
# input.
subjobs = []
for i in range(10):
subjob_input = { "input1": True }
subjobs.append(dxpy.new_dxjob(subjob_input, "process"))
# The following line creates the job that will perform the
# "postprocess" step of your app. We've given it an input field
# that is a list of job-based object references created from the
# "process" jobs we just created. Assuming those jobs have an
# output field called "output", these values will be passed to the
# "postprocess" job. Because these values are not ready until the
# "process" jobs finish, the "postprocess" job WILL NOT RUN until
# all job-based object references have been resolved (i.e. the
# jobs they reference have finished running).
#
# If you do not plan to have the "process" jobs create output that
# the "postprocess" job will require, then you can explicitly list
# the dependencies to wait for those jobs to finish by setting the
# "depends_on" field to the list of subjobs to wait for (it
# accepts either dxpy handlers or string IDs in the list). We've
# included this parameter in the line below as well for
# completeness, though it is unnecessary if you are providing
# job-based object references in the input that refer to the same
# set of jobs.
postprocess_job = dxpy.new_dxjob(fn_input={ "process_outputs": [subjob.get_output_ref("output") for subjob in subjobs] },
fn_name="postprocess",
depends_on=subjobs)
DX_APP_WIZARD_UPLOAD_ANY_FILES
# If you would like to include any of the output fields from the
# postprocess_job as the output of your app, you should return it
# here using a job-based object reference. If the output field in
# the postprocess function is called "answer", you can pass that
# on here as follows:
#
# return { "app_output_field": postprocess_job.get_output_ref("answer"), ...}
#
# Tip: you can include in your output at this point any open
# objects (such as files) which will be closed by a job that
# finishes later. The system will check to make sure that the
# output object is closed and will attempt to clone it out as
# output into the parent container only after all subjobs have
# finished.
output = {}
DX_APP_WIZARD_OUTPUT
return output
dxpy.run()
| 40.744898 | 125 | 0.710744 | 590 | 3,993 | 4.725424 | 0.361017 | 0.025825 | 0.027618 | 0.025825 | 0.147059 | 0.125538 | 0.125538 | 0.125538 | 0.125538 | 0.125538 | 0 | 0.002262 | 0.225144 | 3,993 | 97 | 126 | 41.164948 | 0.898836 | 0.695467 | 0 | 0 | 1 | 0 | 0.097582 | 0 | 0 | 0 | 0 | 0.010309 | 0 | 0 | null | null | 0.038462 | 0.076923 | null | null | 0.038462 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
678e6092da45b70e2932e611ab78149a0cd4ccec | 397 | py | Python | amplpy/tests/__main__.py | sbebo/amplpy | ac69a79ce40d5ace93801f89ce6fe8310628cfd7 | [
"BSD-3-Clause"
] | 47 | 2017-08-11T16:38:26.000Z | 2022-03-24T08:37:40.000Z | amplpy/tests/__main__.py | Seanpm2001-Python/amplpy | 26c04134b6c4135a541d54c7873d9b2933df039a | [
"BSD-3-Clause"
] | 41 | 2017-08-05T00:54:27.000Z | 2022-03-08T21:56:19.000Z | amplpy/tests/__main__.py | Seanpm2001-Python/amplpy | 26c04134b6c4135a541d54c7873d9b2933df039a | [
"BSD-3-Clause"
] | 22 | 2017-08-05T00:38:43.000Z | 2022-02-02T20:22:10.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import absolute_import
import unittest
from .test_ampl import TestAMPL
from .test_entities import TestEntities
from .test_iterators import TestIterators
from .test_dataframe import TestDataFrame
from .test_environment import TestEnvironment
from .test_properties import TestProperties
if __name__ == '__main__':
unittest.main()
| 24.8125 | 45 | 0.806045 | 49 | 397 | 6.142857 | 0.571429 | 0.159468 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002874 | 0.123426 | 397 | 15 | 46 | 26.466667 | 0.862069 | 0.105793 | 0 | 0 | 0 | 0 | 0.022663 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.8 | 0 | 0.8 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
678fb7c903ddd38cbbb4c928ca2edac7cde206ea | 217 | py | Python | Grupo2_encriptacionCesar/mensajeLista.py | IEEERASDigitalesJaveriana/encriptacion_Cesar_Git | f0f55f97448186b814d0e8567d2f432e0eeed563 | [
"CC0-1.0"
] | null | null | null | Grupo2_encriptacionCesar/mensajeLista.py | IEEERASDigitalesJaveriana/encriptacion_Cesar_Git | f0f55f97448186b814d0e8567d2f432e0eeed563 | [
"CC0-1.0"
] | null | null | null | Grupo2_encriptacionCesar/mensajeLista.py | IEEERASDigitalesJaveriana/encriptacion_Cesar_Git | f0f55f97448186b814d0e8567d2f432e0eeed563 | [
"CC0-1.0"
] | null | null | null | # función para pasar el mensaje que esta en string a lista
# parametros de entrada: mensaje - mensaje a encriptar en string
def mensaje_a_lista(mensaje): # funcion 2
return # se devuelve la lista con el mensaje | 54.25 | 67 | 0.760369 | 35 | 217 | 4.657143 | 0.657143 | 0.110429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005747 | 0.198157 | 217 | 4 | 68 | 54.25 | 0.931034 | 0.774194 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | false | 0 | 0 | 0.5 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 |
6793e230f767b7e5c1aabf7061d535301bd46934 | 443 | py | Python | main/pythonDev/TestModels/MiniExamples/miniExamplesFileList.py | eapcivil/EXUDYN | 52bddc8c258cda07e51373f68e1198b66c701d03 | [
"BSD-3-Clause-Open-MPI"
] | 1 | 2020-10-06T08:06:25.000Z | 2020-10-06T08:06:25.000Z | main/pythonDev/TestModels/MiniExamples/miniExamplesFileList.py | eapcivil/EXUDYN | 52bddc8c258cda07e51373f68e1198b66c701d03 | [
"BSD-3-Clause-Open-MPI"
] | null | null | null | main/pythonDev/TestModels/MiniExamples/miniExamplesFileList.py | eapcivil/EXUDYN | 52bddc8c258cda07e51373f68e1198b66c701d03 | [
"BSD-3-Clause-Open-MPI"
] | null | null | null | #this file provides a list of file names for mini examples
miniExamplesFileList = ['ObjectMassPoint.py',
'ObjectMassPoint2D.py',
'ObjectMass1D.py',
'ObjectRotationalMass1D.py',
'ObjectRigidBody2D.py',
'ObjectGenericODE2.py',
'ObjectConnectorSpringDamper.py',
'ObjectConnectorCartesianSpringDamper.py',
'ObjectConnectorCoordinateSpringDamper.py',
'ObjectConnectorDistance.py',
'ObjectConnectorCoordinate.py',
'MarkerSuperElementPosition.py']
| 27.6875 | 58 | 0.823928 | 36 | 443 | 10.138889 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012019 | 0.060948 | 443 | 15 | 59 | 29.533333 | 0.865385 | 0.128668 | 0 | 0 | 0 | 0 | 0.807292 | 0.565104 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
67d9a95c2072b4cc77b4f10acc8a33a853df5a15 | 86 | py | Python | tests/src/compound/while.py | lindlind/python-interpreter | ffcb38627dc128dddb04e769d0bff6466365271a | [
"MIT"
] | null | null | null | tests/src/compound/while.py | lindlind/python-interpreter | ffcb38627dc128dddb04e769d0bff6466365271a | [
"MIT"
] | null | null | null | tests/src/compound/while.py | lindlind/python-interpreter | ffcb38627dc128dddb04e769d0bff6466365271a | [
"MIT"
] | null | null | null | s = "abacaba"
length = 1
while s[0:length] != s:
length = length + 1
length == 7
| 12.285714 | 23 | 0.569767 | 14 | 86 | 3.5 | 0.5 | 0.285714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.063492 | 0.267442 | 86 | 6 | 24 | 14.333333 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0.081395 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
67fec778e4939d81260492b3bd308c4ee5e70a70 | 89 | py | Python | Video 28/Tuplas I.py | Khahory/curso_de_python_yacklyon-trabajo-py | df5ae0d88485124db37a55d69f701ff0f8dfa08b | [
"Apache-2.0"
] | null | null | null | Video 28/Tuplas I.py | Khahory/curso_de_python_yacklyon-trabajo-py | df5ae0d88485124db37a55d69f701ff0f8dfa08b | [
"Apache-2.0"
] | null | null | null | Video 28/Tuplas I.py | Khahory/curso_de_python_yacklyon-trabajo-py | df5ae0d88485124db37a55d69f701ff0f8dfa08b | [
"Apache-2.0"
] | null | null | null | #Tuplas
a = 10
b = 5
print(a)
(a,b) = (b,a)
print(a) #Cambio los valores con las tuplas | 11.125 | 43 | 0.617978 | 19 | 89 | 2.894737 | 0.578947 | 0.218182 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.042857 | 0.213483 | 89 | 8 | 43 | 11.125 | 0.742857 | 0.438202 | 0 | 0.4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.4 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
db333eb94172e54f58ebf5b2613a0b7f7ec3e67d | 894 | py | Python | Task/Floyds-triangle/Python/floyds-triangle-1.py | LaudateCorpus1/RosettaCodeData | 9ad63ea473a958506c041077f1d810c0c7c8c18d | [
"Info-ZIP"
] | 5 | 2021-01-29T20:08:05.000Z | 2022-03-22T06:16:05.000Z | Task/Floyds-triangle/Python/floyds-triangle-1.py | seanwallawalla-forks/RosettaCodeData | 9ad63ea473a958506c041077f1d810c0c7c8c18d | [
"Info-ZIP"
] | null | null | null | Task/Floyds-triangle/Python/floyds-triangle-1.py | seanwallawalla-forks/RosettaCodeData | 9ad63ea473a958506c041077f1d810c0c7c8c18d | [
"Info-ZIP"
] | 1 | 2021-04-13T04:19:31.000Z | 2021-04-13T04:19:31.000Z | >>> def floyd(rowcount=5):
rows = [[1]]
while len(rows) < rowcount:
n = rows[-1][-1] + 1
rows.append(list(range(n, n + len(rows[-1]) + 1)))
return rows
>>> floyd()
[[1], [2, 3], [4, 5, 6], [7, 8, 9, 10], [11, 12, 13, 14, 15]]
>>> def pfloyd(rows=[[1], [2, 3], [4, 5, 6], [7, 8, 9, 10]]):
colspace = [len(str(n)) for n in rows[-1]]
for row in rows:
print( ' '.join('%*i' % space_n for space_n in zip(colspace, row)))
>>> pfloyd()
1
2 3
4 5 6
7 8 9 10
>>> pfloyd(floyd(5))
1
2 3
4 5 6
7 8 9 10
11 12 13 14 15
>>> pfloyd(floyd(14))
1
2 3
4 5 6
7 8 9 10
11 12 13 14 15
16 17 18 19 20 21
22 23 24 25 26 27 28
29 30 31 32 33 34 35 36
37 38 39 40 41 42 43 44 45
46 47 48 49 50 51 52 53 54 55
56 57 58 59 60 61 62 63 64 65 66
67 68 69 70 71 72 73 74 75 76 77 78
79 80 81 82 83 84 85 86 87 88 89 90 91
92 93 94 95 96 97 98 99 100 101 102 103 104 105
>>>
| 20.790698 | 69 | 0.549217 | 218 | 894 | 2.243119 | 0.582569 | 0.051125 | 0.030675 | 0.0409 | 0.173824 | 0.173824 | 0.173824 | 0.173824 | 0.173824 | 0.173824 | 0 | 0.444094 | 0.289709 | 894 | 42 | 70 | 21.285714 | 0.325984 | 0 | 0 | 0.282051 | 0 | 0 | 0.004474 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0.025641 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
db39b507155c05bda16f33fa8a3e79c11eb29fa9 | 294 | py | Python | tools/server/judger/Strategy/settings.example.py | ypm1999/KitJudge | 8d399b38318dd6f6eec27185d26bb5146e8ce025 | [
"MIT"
] | 1 | 2018-01-17T08:24:03.000Z | 2018-01-17T08:24:03.000Z | tools/server/judger/Strategy/settings.example.py | ypm1999/KitJudge | 8d399b38318dd6f6eec27185d26bb5146e8ce025 | [
"MIT"
] | null | null | null | tools/server/judger/Strategy/settings.example.py | ypm1999/KitJudge | 8d399b38318dd6f6eec27185d26bb5146e8ce025 | [
"MIT"
] | 3 | 2018-09-23T09:08:01.000Z | 2018-10-13T02:02:03.000Z | kitReportMQHost = '***'
kitReportMQPort = 5672
kitReportMQUsername = '***'
kitReportMQPassword = '***'
kitReportMQQueueName = '***'
kitReportMQHeartBeat = 20
kitGitHost = '***'
kitGitUser = '***'
kitDBPort = 3306
kitDBHost = "***"
kitDBName = "***"
kitDBUsername = "***"
kitDBPassword = "***" | 19.6 | 28 | 0.64966 | 16 | 294 | 11.9375 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.03937 | 0.136054 | 294 | 15 | 29 | 19.6 | 0.712598 | 0 | 0 | 0 | 0 | 0 | 0.101695 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.153846 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
e1d1d2b33661087644872350c56461f1cb268c39 | 4,638 | py | Python | src/m7_summing.py | CSSE120StartingCode/AccumulatorsAndFunctionsWithParameters | f48f71118a317782909873b5220ad79cd67d5449 | [
"MIT"
] | null | null | null | src/m7_summing.py | CSSE120StartingCode/AccumulatorsAndFunctionsWithParameters | f48f71118a317782909873b5220ad79cd67d5449 | [
"MIT"
] | null | null | null | src/m7_summing.py | CSSE120StartingCode/AccumulatorsAndFunctionsWithParameters | f48f71118a317782909873b5220ad79cd67d5449 | [
"MIT"
] | 155 | 2017-09-04T20:11:32.000Z | 2020-06-26T07:21:33.000Z | """
This module lets you practice the ACCUMULATOR pattern
in its simplest classic forms:
SUMMING: total = total + number
Authors: David Mutchler, Vibha Alangar, Dave Fisher, Matt Boutell, Mark Hays,
Mohammed Noureddine, Sana Ebrahimi, Sriram Mohan, their colleagues and
PUT_YOUR_NAME_HERE.
""" # TODO: 1. PUT YOUR NAME IN THE ABOVE LINE.
###############################################################################
# TODO: 2. Read the following, then change its _TODO_ to DONE.
# Throughout these exercises, you must use RANGE statements.
# At this point of the course, you are restricted to the SINGLE-ARGUMENT
# form of RANGE statements, like this:
# range(blah):
# There is a MULTIPLE-ARGUMENT form of RANGE statements (e.g. range(a, b))
# but you are NOT permitted to use the MULTIPLE-ARGUMENT form yet,
# for pedagogical reasons.
###############################################################################
def main():
""" Calls the TEST functions in this module. """
run_test_sum_cosines()
run_test_sum_square_roots()
def run_test_sum_cosines():
""" Tests the sum_cosines function. """
# -------------------------------------------------------------------------
# TODO: 3. Implement this function.
# It TESTS the sum_cosines function defined below.
# Include at least ** 3 ** tests.
# ___
# Use the same 4-step process as in implementing previous
# TEST functions, including the same way to print expected/actual.
# -------------------------------------------------------------------------
print()
print("--------------------------------------------------")
print("Testing the sum_cosines function:")
print("--------------------------------------------------")
def sum_cosines(n):
"""
What comes in: A non-negative integer n.
What goes out: Returns the sum of the cosines of the integers
0, 1, 2, 3, ... n, inclusive, for the given n.
Side effects: None.
Example:
If n is 3, this function returns
cos(0) + cos(1) + cos(2) + cos(3) which is about 0.13416.
Type hints:
:type n: int
:rtype: float
"""
# -------------------------------------------------------------------------
# TODO: 4. Implement and test this function.
# Note that you should write its TEST function first (above).
# That is called TEST-FIRST DEVELOPMENT (TFD).
# ___
# No fair running the code of sum_cosines to GENERATE
# test cases; that would defeat the purpose of TESTING!
# -------------------------------------------------------------------------
def run_test_sum_square_roots():
""" Tests the sum_square_roots function. """
# -------------------------------------------------------------------------
# TODO: 5. Implement this function.
# It TESTS the sum_square_roots function defined below.
# Include at least ** 3 ** tests.
# ___
# Use the same 4-step process as in implementing previous
# TEST functions, including the same way to print expected/actual.
# -------------------------------------------------------------------------
print()
print("--------------------------------------------------")
print("Testing the sum_square_roots function:")
print("--------------------------------------------------")
def sum_square_roots(n):
"""
What comes in: A non-negative integer n.
What goes out: Returns the sum of the square roots of the integers
2, 4, 6, 8, ... 2n inclusive, for the given n.
So if n is 7, the last term of the sum is
the square root of 14 (not 7).
Side effects: None.
Example:
If n is 5, this function returns
sqrt(2) + sqrt(4) + sqrt(6) + sqrt(8) + sqrt(10),
which is about 11.854408.
Type hints:
:type n: int
:rtype: float
"""
# -------------------------------------------------------------------------
# TODO: 6. Implement and test this function.
# Note that you should write its TEST function first (above).
# That is called TEST-FIRST DEVELOPMENT (TFD).
# ___
# No fair running the code of sum_square_roots to GENERATE
# test cases; that would defeat the purpose of TESTING!
# -------------------------------------------------------------------------
# -----------------------------------------------------------------------------
# Calls main to start the ball rolling.
# -----------------------------------------------------------------------------
main()
| 40.684211 | 79 | 0.48232 | 503 | 4,638 | 4.355865 | 0.349901 | 0.024646 | 0.044728 | 0.028754 | 0.570972 | 0.482428 | 0.463715 | 0.408033 | 0.379735 | 0.379735 | 0 | 0.013469 | 0.21561 | 4,638 | 113 | 80 | 41.044248 | 0.588785 | 0.757223 | 0 | 0.375 | 0 | 0 | 0.355414 | 0.254777 | 0 | 0 | 0 | 0.026549 | 0 | 1 | 0.3125 | false | 0 | 0 | 0 | 0.3125 | 0.5 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 |
e1d51b9262e223b9ce3d9fe3da8ad2f56bc24ef4 | 1,246 | py | Python | src/accent_analyser/core/cluster_rules.py | stefantaubert/eng2ipa-accent-transformer | d620c70b06c83119402e255085046747ade87444 | [
"MIT"
] | null | null | null | src/accent_analyser/core/cluster_rules.py | stefantaubert/eng2ipa-accent-transformer | d620c70b06c83119402e255085046747ade87444 | [
"MIT"
] | null | null | null | src/accent_analyser/core/cluster_rules.py | stefantaubert/eng2ipa-accent-transformer | d620c70b06c83119402e255085046747ade87444 | [
"MIT"
] | null | null | null | from collections import OrderedDict
from typing import Any, List, Optional
from typing import OrderedDict as OrderedDictType
from typing import Set, Tuple
from accent_analyser.core.rule_detection import (PhonemeOccurrences,
PhoneOccurrences, Rule,
RuleType, WordEntry,
WordRules, rule_to_str,
rules_to_str)
from accent_analyser.core.rule_stats import (get_rule_occurrences,
word_rules_to_rules_dict)
from ordered_set import OrderedSet
from pandas import DataFrame
def get_fingerprint(speaker_word_rules: OrderedDictType[WordEntry, WordRules], speaker_phone_occurrences: PhoneOccurrences, speaker_phoneme_occurrences: PhonemeOccurrences, all_rules: OrderedSet[Rule]) -> Any:
speaker_words_to_rules = word_rules_to_rules_dict(speaker_word_rules)
speaker_rule_occurrences = get_rule_occurrences(speaker_words_to_rules, speaker_phone_occurrences)
def compare_two_fingerprints(fingerprint1: Any, fingerprint2: Any) -> float:
pass
def cluster_fingerprints(fingerprints: List[Any]) -> float:
pass
| 44.5 | 209 | 0.684591 | 129 | 1,246 | 6.271318 | 0.379845 | 0.044499 | 0.059333 | 0.054388 | 0.113721 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002193 | 0.268058 | 1,246 | 27 | 210 | 46.148148 | 0.884868 | 0 | 0 | 0.1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.15 | false | 0.1 | 0.4 | 0 | 0.55 | 0.15 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 3 |
e1d6efe1bc9857177bfacc3a5504aa76163912e9 | 7,588 | py | Python | client/python/modeldb/tests/utils.py | miyamotok0105/modeldb | 6b2b7fb598d90be733e4b68efae3165c24efe2d1 | [
"MIT"
] | 1 | 2018-08-23T01:15:43.000Z | 2018-08-23T01:15:43.000Z | client/python/modeldb/tests/utils.py | miyamotok0105/modeldb | 6b2b7fb598d90be733e4b68efae3165c24efe2d1 | [
"MIT"
] | 1 | 2018-08-20T17:37:22.000Z | 2018-08-20T17:37:22.000Z | client/python/modeldb/tests/utils.py | miyamotok0105/modeldb | 6b2b7fb598d90be733e4b68efae3165c24efe2d1 | [
"MIT"
] | null | null | null | def validate_fit_event_struct(fitEvent, tester):
tester.assertTrue(hasattr(fitEvent, 'df'))
tester.assertTrue(hasattr(fitEvent, 'spec'))
tester.assertTrue(hasattr(fitEvent, 'model'))
tester.assertTrue(hasattr(fitEvent, 'featureColumns'))
tester.assertTrue(hasattr(fitEvent, 'predictionColumns'))
tester.assertTrue(hasattr(fitEvent, 'labelColumns'))
tester.assertTrue(hasattr(fitEvent, 'experimentRunId'))
tester.assertTrue(type(fitEvent.experimentRunId), 'int')
def validate_project_struct(project, tester):
tester.assertTrue(hasattr(project, 'id'))
tester.assertTrue(hasattr(project, 'name'))
tester.assertTrue(hasattr(project, 'author'))
tester.assertTrue(hasattr(project, 'description'))
def validate_experiment_struct(experiment, tester):
tester.assertTrue(hasattr(experiment, 'projectId'))
tester.assertTrue(hasattr(experiment, 'description'))
tester.assertTrue(hasattr(experiment, 'id'))
tester.assertTrue(hasattr(experiment, 'isDefault'))
tester.assertTrue(hasattr(experiment, 'name'))
def validate_experiment_run_struct(experiment_run, tester):
tester.assertTrue(hasattr(experiment_run, 'id'))
tester.assertTrue(hasattr(experiment_run, 'experimentId'))
tester.assertTrue(hasattr(experiment_run, 'description'))
def validate_transformer_spec_struct(spec, tester):
tester.assertTrue(hasattr(spec, 'id'))
tester.assertTrue(hasattr(spec, 'transformerType'))
tester.assertTrue(hasattr(spec, 'hyperparameters'))
tester.assertTrue(hasattr(spec, 'tag'))
def validate_transform_event_struct(transformEvent, tester):
tester.assertTrue(hasattr(transformEvent, 'oldDataFrame'))
tester.assertTrue(hasattr(transformEvent, 'newDataFrame'))
tester.assertTrue(hasattr(transformEvent, 'transformer'))
tester.assertTrue(hasattr(transformEvent, 'inputColumns'))
tester.assertTrue(hasattr(transformEvent, 'outputColumns'))
tester.assertTrue(hasattr(transformEvent, 'experimentRunId'))
tester.assertTrue(type(transformEvent.experimentRunId), 'int')
def validate_dataframe_struct(dataframe, tester):
tester.assertTrue(hasattr(dataframe, 'numRows'))
tester.assertTrue(hasattr(dataframe, 'tag'))
tester.assertTrue(hasattr(dataframe, 'id'))
tester.assertTrue(hasattr(dataframe, 'schema'))
def validate_transformer_struct(transformer, tester):
tester.assertTrue(hasattr(transformer, 'id'))
tester.assertTrue(hasattr(transformer, 'transformerType'))
tester.assertTrue(hasattr(transformer, 'tag'))
def validate_pipeline_event_struct(pipelineEvent, tester):
tester.assertTrue(hasattr(pipelineEvent, 'pipelineFit'))
tester.assertTrue(hasattr(pipelineEvent, 'transformStages'))
tester.assertTrue(hasattr(pipelineEvent, 'fitStages'))
tester.assertTrue(hasattr(pipelineEvent, 'experimentRunId'))
def validate_pipeline_fit_stages(fitStages, tester):
count = 0
for stage in fitStages:
tester.assertTrue(hasattr(stage, 'fe'))
tester.assertTrue(hasattr(stage, 'stageNumber'))
tester.assertEqual(stage.stageNumber, count)
validate_fit_event_struct(stage.fe, tester)
count += 1
def validate_pipeline_transform_stages(transformStages, tester):
count = 0
for stage in transformStages:
tester.assertTrue(hasattr(stage, 'te'))
tester.assertTrue(hasattr(stage, 'stageNumber'))
tester.assertEqual(stage.stageNumber, count)
validate_transform_event_struct(stage.te, tester)
count += 1
def validate_random_split_event_struct(random_splitEvent, tester):
tester.assertTrue(hasattr(random_splitEvent, 'oldDataFrame'))
tester.assertTrue(hasattr(random_splitEvent, 'weights'))
tester.assertTrue(hasattr(random_splitEvent, 'seed'))
tester.assertTrue(hasattr(random_splitEvent, 'splitDataFrames'))
tester.assertTrue(hasattr(random_splitEvent, 'experimentRunId'))
def validate_metric_event_struct(metric_event, tester):
tester.assertTrue(hasattr(metric_event, 'df'))
tester.assertTrue(hasattr(metric_event, 'model'))
tester.assertTrue(hasattr(metric_event, 'metricType'))
tester.assertTrue(hasattr(metric_event, 'metricValue'))
tester.assertTrue(hasattr(metric_event, 'labelCol'))
tester.assertTrue(hasattr(metric_event, 'predictionCol'))
tester.assertTrue(hasattr(metric_event, 'experimentRunId'))
def validate_grid_search_cv_event(gridcvEvent, tester):
tester.assertTrue(hasattr(gridcvEvent, 'numFolds'))
tester.assertTrue(hasattr(gridcvEvent, 'bestFit'))
tester.assertTrue(hasattr(gridcvEvent, 'crossValidations'))
tester.assertTrue(hasattr(gridcvEvent, 'experimentRunId'))
def validate_cross_validate_event(cvEvent, tester):
tester.assertTrue(hasattr(cvEvent, 'df'))
tester.assertTrue(hasattr(cvEvent, 'spec'))
tester.assertTrue(hasattr(cvEvent, 'seed'))
tester.assertTrue(hasattr(cvEvent, 'evaluator'))
tester.assertTrue(hasattr(cvEvent, 'labelColumns'))
tester.assertTrue(hasattr(cvEvent, 'predictionColumns'))
tester.assertTrue(hasattr(cvEvent, 'featureColumns'))
tester.assertTrue(hasattr(cvEvent, 'folds'))
tester.assertTrue(hasattr(cvEvent, 'experimentRunId'))
def validate_cross_validation_fold(cvFold, tester):
tester.assertTrue(hasattr(cvFold, 'model'))
tester.assertTrue(hasattr(cvFold, 'validationDf'))
tester.assertTrue(hasattr(cvFold, 'trainingDf'))
tester.assertTrue(hasattr(cvFold, 'score'))
def is_equal_dataframe(dataframe1, dataframe2, tester):
tester.assertEqual(dataframe1.numRows, dataframe2.numRows)
tester.assertEqual(dataframe1.tag, dataframe2.tag)
tester.assertEqual(dataframe1.id, dataframe2.id)
tester.assertEqual(len(dataframe1.schema), len(dataframe2.schema))
# check schema
for i in range(len(dataframe1.schema)):
tester.assertEqual(dataframe1.schema[
i].name, dataframe2.schema[i].name)
tester.assertEqual(dataframe1.schema[
i].type, dataframe2.schema[i].type)
def is_equal_transformer_spec(spec1, spec2, tester):
tester.assertEqual(spec1.id, spec2.id)
tester.assertEqual(spec1.transformerType, spec2.transformerType)
tester.assertEqual(spec1.tag, spec2.tag)
tester.assertEqual(len(spec1.hyperparameters), len(spec2.hyperparameters))
for i in range(len(spec1.hyperparameters)):
tester.assertTrue(spec1.hyperparameters[i] in spec2.hyperparameters)
def is_equal_transformer(model1, model2, tester):
tester.assertEqual(model1.id, model2.id)
tester.assertEqual(model1.transformerType, model2.transformerType)
tester.assertEqual(model1.tag, model2.tag)
def is_equal_project(project1, project2, tester):
tester.assertEqual(project1.id, project2.id)
tester.assertEqual(project1.name, project2.name)
tester.assertEqual(project1.author, project2.author)
tester.assertEqual(project1.description, project2.description)
def is_equal_experiment(experiment1, experiment2, tester):
tester.assertEqual(experiment1.id, experiment2.id)
tester.assertEqual(experiment1.projectId, experiment2.projectId)
tester.assertEqual(experiment1.name, experiment2.name)
tester.assertEqual(experiment1.description, experiment2.description)
tester.assertEqual(experiment1.isDefault, experiment2.isDefault)
def is_equal_experiment_run(expRun1, expRun2, tester):
tester.assertEqual(expRun1.id, expRun2.id)
tester.assertEqual(expRun1.experimentId, expRun2.experimentId)
tester.assertEqual(expRun1.description, expRun2.description)
| 41.23913 | 78 | 0.758171 | 775 | 7,588 | 7.314839 | 0.132903 | 0.2145 | 0.296172 | 0.071618 | 0.172694 | 0.037749 | 0.029988 | 0.029988 | 0.029988 | 0.029988 | 0 | 0.010503 | 0.121639 | 7,588 | 183 | 79 | 41.464481 | 0.84006 | 0.001581 | 0 | 0.072993 | 0 | 0 | 0.087008 | 0 | 0 | 0 | 0 | 0 | 0.751825 | 1 | 0.160584 | false | 0 | 0 | 0 | 0.160584 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
e1d712ea1cef3a4765c0a11f911c5e58c8c76619 | 552 | py | Python | src/core/engine/pipeline_control.py | KorawichSCG/data-engine | 2a76679f113b525d7205812ee02c6b432082aa83 | [
"MIT"
] | null | null | null | src/core/engine/pipeline_control.py | KorawichSCG/data-engine | 2a76679f113b525d7205812ee02c6b432082aa83 | [
"MIT"
] | null | null | null | src/core/engine/pipeline_control.py | KorawichSCG/data-engine | 2a76679f113b525d7205812ee02c6b432082aa83 | [
"MIT"
] | null | null | null | from typing import Any, Dict, List
class Node:
def __init__(self, ps_node_name: str, ps_node_processes: Dict[str, Any]):
self.ps_node_name = ps_node_name
self.ps_node_processes = ps_node_processes
@property
def processes(self) -> List:
return list(self.ps_node_processes.keys())
def __str__(self):
return f'{self.__class__.__name__}({self.ps_node_name})'
class Pipeline:
"""
config
------
<pipeline-name>:
type: datasets.pipelines.Pipeline
nodes:
""" | 23 | 77 | 0.625 | 69 | 552 | 4.536232 | 0.362319 | 0.153355 | 0.159744 | 0.134185 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.259058 | 552 | 24 | 78 | 23 | 0.765281 | 0.164855 | 0 | 0 | 0 | 0 | 0.106977 | 0.106977 | 0 | 0 | 0 | 0 | 0 | 1 | 0.272727 | false | 0 | 0.090909 | 0.181818 | 0.727273 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
c00d09934f69e606b222076dd823ed1ae695a4af | 306 | py | Python | mishapp_api/default_config.py | gudeg-united/mishapp-api-hackathon | 282c59173b41fdc24959f38a6b1699756ecf2780 | [
"BSD-3-Clause"
] | null | null | null | mishapp_api/default_config.py | gudeg-united/mishapp-api-hackathon | 282c59173b41fdc24959f38a6b1699756ecf2780 | [
"BSD-3-Clause"
] | 1 | 2015-01-30T23:40:10.000Z | 2015-01-31T03:52:51.000Z | mishapp_api/default_config.py | gudeg-united/mishapp-api-hackathon | 282c59173b41fdc24959f38a6b1699756ecf2780 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
MONGODB_DB = "mishapp"
MONGODB_HOST = "localhost"
MONGODB_PORT = 27017
MONGODB_USERNAME = ""
MONGODB_PASSWORD = ""
PUBNUB_PUB_KEY = ""
PUBNUB_SUB_KEY = ""
| 21.857143 | 39 | 0.810458 | 38 | 306 | 5.789474 | 0.578947 | 0.181818 | 0.290909 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018727 | 0.127451 | 306 | 13 | 40 | 23.538462 | 0.805243 | 0 | 0 | 0 | 0 | 0 | 0.052288 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.090909 | 0.363636 | 0 | 0.363636 | 0.090909 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 3 |
c04585e4b1af1366e6e02e09c081b0d1c253a4fc | 85 | py | Python | src/systa/experimental/decorators/__init__.py | ipronald/systa | 0c46c99b9d04cea23d32ec34dd3f8ddadd320625 | [
"MIT"
] | 9 | 2021-07-21T01:08:54.000Z | 2022-02-21T01:34:31.000Z | src/systa/experimental/decorators/__init__.py | ipronald/systa | 0c46c99b9d04cea23d32ec34dd3f8ddadd320625 | [
"MIT"
] | 28 | 2019-04-11T14:21:46.000Z | 2021-08-09T19:10:02.000Z | src/systa/experimental/decorators/__init__.py | ipronald/systa | 0c46c99b9d04cea23d32ec34dd3f8ddadd320625 | [
"MIT"
] | 1 | 2021-07-21T15:24:26.000Z | 2021-07-21T15:24:26.000Z | from collections import defaultdict
func_stack = {}
func_ranges = defaultdict(list)
| 17 | 35 | 0.8 | 10 | 85 | 6.6 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.129412 | 85 | 4 | 36 | 21.25 | 0.891892 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
c0494f81b4db3ac91785fad6c0b44f8e62c5b90e | 918 | py | Python | terminus/builders/abstract_city_builder.py | ekumenlabs/terminus | ce6dcdc797011155e8fd52d40d910bdaf9bfe397 | [
"Apache-2.0"
] | 52 | 2016-10-12T17:54:10.000Z | 2021-09-29T04:06:24.000Z | terminus/builders/abstract_city_builder.py | ekumenlabs/terminus | ce6dcdc797011155e8fd52d40d910bdaf9bfe397 | [
"Apache-2.0"
] | 216 | 2016-09-14T18:51:36.000Z | 2019-01-31T05:57:57.000Z | terminus/builders/abstract_city_builder.py | ekumenlabs/terminus | ce6dcdc797011155e8fd52d40d910bdaf9bfe397 | [
"Apache-2.0"
] | 28 | 2016-09-21T17:55:23.000Z | 2021-09-29T04:06:25.000Z | """
Copyright (C) 2017 Open Source Robotics Foundation
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
class AbstractCityBuilder(object):
def name(self):
return self.__class__.__name__
def get_city(self):
city = self._buid_city()
city.put_metadata('builder', self)
return city
def required_licence(self):
return None
def _buid_city(self):
raise NotImplementedError()
| 27.818182 | 72 | 0.729847 | 130 | 918 | 5.038462 | 0.638462 | 0.091603 | 0.039695 | 0.048855 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010944 | 0.203704 | 918 | 32 | 73 | 28.6875 | 0.885089 | 0.626362 | 0 | 0 | 0 | 0 | 0.020896 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.363636 | false | 0 | 0 | 0.181818 | 0.727273 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
c05d1a8a0b43b5a0cab74f8a8db1a85dde6fc669 | 196 | py | Python | src/sampler/__init__.py | tristanbrown/sampler | 063c4d69698d05798dce9e37ac6463bf2d227023 | [
"MIT"
] | null | null | null | src/sampler/__init__.py | tristanbrown/sampler | 063c4d69698d05798dce9e37ac6463bf2d227023 | [
"MIT"
] | null | null | null | src/sampler/__init__.py | tristanbrown/sampler | 063c4d69698d05798dce9e37ac6463bf2d227023 | [
"MIT"
] | null | null | null | """Sampler package."""
import os
from .constraints import Constraint
from .gibbs import Gibbs
example_dir = os.path.abspath(
os.path.join(os.path.dirname(__file__), "../../tests/examples"))
| 21.777778 | 68 | 0.719388 | 26 | 196 | 5.230769 | 0.653846 | 0.132353 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.117347 | 196 | 8 | 69 | 24.5 | 0.786127 | 0.081633 | 0 | 0 | 0 | 0 | 0.114943 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.6 | 0 | 0.6 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
fbe53c234b149c2d3910c8b1621e3da7dbc8d1ae | 923 | py | Python | olivertwist/rules/no_orphaned_models.py | octoenergy/oliver-twist | 7496208d9de4c21cd9e0d553f24bf07612ddc720 | [
"Apache-2.0"
] | 37 | 2020-12-17T13:32:12.000Z | 2022-03-16T07:19:56.000Z | olivertwist/rules/no_orphaned_models.py | Norina-Sun/oliver-twist | 5bb9b2cddc097d89d4a3eff78c63036682dd19f8 | [
"Apache-2.0"
] | 28 | 2020-12-17T16:20:14.000Z | 2022-01-21T09:00:15.000Z | olivertwist/rules/no_orphaned_models.py | octoenergy/oliver-twist | 7496208d9de4c21cd9e0d553f24bf07612ddc720 | [
"Apache-2.0"
] | 2 | 2021-08-09T17:07:23.000Z | 2021-11-05T14:37:18.000Z | # -*- coding: utf-8 -*-
"""Models should have resolvable dependencies.
Copyright (C) 2020, Auto Trader UK
Created 16. Dec 2020 12:53
"""
from typing import List, Tuple
from olivertwist.manifest import Manifest, Node
from olivertwist.ruleengine.rule import rule
from olivertwist.rules.utils import partition
@rule(id="no-orphaned-models", name="No orphaned models allowed")
def no_orphaned_models(manifest: Manifest) -> Tuple[List[Node], List[Node]]:
"""
return [
node for node in dbt_manifest_file['nodes'].values()
if is_staging(node) or is_mart(node)
if not node['depends_on']['nodes']
]
"""
def is_orphan(node: Node) -> bool:
dependencies = list(manifest.graph.predecessors(node.id))
return (node.is_staging or node.is_mart) and len(dependencies) < 1
passes, failures = partition(is_orphan, manifest.nodes())
return list(passes), list(failures)
| 29.774194 | 76 | 0.695558 | 125 | 923 | 5.048 | 0.496 | 0.071315 | 0.07607 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.021164 | 0.180932 | 923 | 30 | 77 | 30.766667 | 0.813492 | 0.300108 | 0 | 0 | 0 | 0 | 0.072488 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.181818 | false | 0.181818 | 0.363636 | 0 | 0.727273 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 3 |
fbe6803d878ac6edd9f87270f44065dfb7b265d4 | 2,996 | py | Python | axelrod/tests/unit/test_backstabber.py | lipingzhu/Zero-determinant | 6e30aa72358d5dfc3975abe433d0d13cc3a750a1 | [
"MIT"
] | null | null | null | axelrod/tests/unit/test_backstabber.py | lipingzhu/Zero-determinant | 6e30aa72358d5dfc3975abe433d0d13cc3a750a1 | [
"MIT"
] | null | null | null | axelrod/tests/unit/test_backstabber.py | lipingzhu/Zero-determinant | 6e30aa72358d5dfc3975abe433d0d13cc3a750a1 | [
"MIT"
] | null | null | null | import axelrod
from .test_player import TestPlayer
C, D = axelrod.Actions.C, axelrod.Actions.D
class TestBackStabber(TestPlayer):
name = "BackStabber"
player = axelrod.BackStabber
expected_classifier = {
'memory_depth': float('inf'),
'stochastic': False,
'makes_use_of': set(['length']),
'inspects_source': False,
'manipulates_source': False,
'manipulates_state': False
}
def test_strategy(self):
"""
Forgives the first 3 defections but on the fourth
will defect forever. Defects after the 198th round unconditionally.
"""
self.first_play_test(C)
# Forgives three defections
self.responses_test([C], [D], [C], tournament_length=200)
self.responses_test([C, C], [D, D], [C], tournament_length=200)
self.responses_test([C, C, C], [D, D, D], [C], tournament_length=200)
self.responses_test([C, C, C, C], [D, D, D, D], [D],
tournament_length=200)
# Defects on rounds 199, and 200 no matter what
self.responses_test([C] * 197 , [C] * 197, [C, D, D],
tournament_length=200)
self.responses_test([C] * 198 , [C] * 198, [D, D, D],
tournament_length=200)
# But only if the tournament is known
self.responses_test([C] * 198 , [C] * 198, [C, C, C],
tournament_length=-1)
class TestDoubleCrosser(TestPlayer):
name = "DoubleCrosser"
player = axelrod.DoubleCrosser
expected_classifier = {
'memory_depth': float('inf'),
'stochastic': False,
'makes_use_of': set(['length']),
'inspects_source': False,
'manipulates_source': False,
'manipulates_state': False
}
def test_strategy(self):
"""
Forgives the first 3 defections but on the fourth
will defect forever. If the opponent did not defect
in the first 6 rounds the player will cooperate until
the 180th round. Defects after the 198th round unconditionally.
"""
self.first_play_test(C)
# Forgives three defections
self.responses_test([C], [D], [C], tournament_length=200)
self.responses_test([C, C], [D, D], [C], tournament_length=200)
self.responses_test([C, C, C], [D, D, D], [C], tournament_length=200)
self.responses_test([C, C, C, C], [D, D, D, D], [D],
tournament_length=200)
# If opponent did not defect in the first six rounds, cooperate until
# round 180
self.responses_test([C] * 6, [C] * 6, [C] * 174, tournament_length=200)
self.responses_test([C] * 12, [C] * 6 + [D] + [C] * 5, [C] * 160,
tournament_length=200)
# Defects on rounds 199, and 200 no matter what
self.responses_test([C] * 198 , [C] * 198, [D, D, D],
tournament_length=200)
| 35.247059 | 79 | 0.570761 | 368 | 2,996 | 4.513587 | 0.225543 | 0.022878 | 0.143287 | 0.151716 | 0.760987 | 0.759783 | 0.759783 | 0.674895 | 0.674895 | 0.674895 | 0 | 0.049495 | 0.305407 | 2,996 | 84 | 80 | 35.666667 | 0.748679 | 0.198932 | 0 | 0.68 | 0 | 0 | 0.090752 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0 | 0.04 | 0 | 0.24 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
2210aad9eb79f1baba29974c71cb3685a956bd65 | 213 | py | Python | 2022/Design-Patters-2/Factory/connection_factory.py | Muramatsu2602/python-study | c81eb5d2c343817bc29b2763dcdcabed0f6a42c6 | [
"MIT"
] | null | null | null | 2022/Design-Patters-2/Factory/connection_factory.py | Muramatsu2602/python-study | c81eb5d2c343817bc29b2763dcdcabed0f6a42c6 | [
"MIT"
] | null | null | null | 2022/Design-Patters-2/Factory/connection_factory.py | Muramatsu2602/python-study | c81eb5d2c343817bc29b2763dcdcabed0f6a42c6 | [
"MIT"
] | null | null | null | import MySQLdb
class Connection_factory(object):
def get_connection(self):
connection = MySQLdb.connect(
host="localhost", user="root", passwd='', db='alura')
return connection
| 19.363636 | 65 | 0.643192 | 22 | 213 | 6.136364 | 0.818182 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.239437 | 213 | 10 | 66 | 21.3 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0.084507 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0.166667 | 0.166667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 |
222bc91f83b2cc7ba1d37ad3fb6f6abbcf8920e5 | 2,149 | py | Python | src/sql/ast/crate.py | chicco785/ngsi-timeseries-api | 6f8ca2e277960bc9549e3fd79350732e459a345f | [
"MIT"
] | 25 | 2017-07-14T15:16:10.000Z | 2020-10-23T19:04:11.000Z | src/sql/ast/crate.py | chicco785/ngsi-timeseries-api | 6f8ca2e277960bc9549e3fd79350732e459a345f | [
"MIT"
] | 346 | 2017-07-14T09:13:29.000Z | 2021-02-02T11:54:03.000Z | src/sql/ast/crate.py | chicco785/ngsi-timeseries-api | 6f8ca2e277960bc9549e3fd79350732e459a345f | [
"MIT"
] | 76 | 2017-08-24T12:11:47.000Z | 2021-02-02T05:28:43.000Z | from enum import Enum
from geocoding.slf import SlfGeometry, SlfPoint, encode_as_wkt
from .terms import *
class GeoMatchType(Enum):
DISJOINT = 'disjoint'
INTERSECTS = 'intersects'
WITHIN = 'within'
def geo_shape_term(geometry: SlfGeometry) -> str:
geo_shape = encode_as_wkt(geometry)
return lit(geo_shape).eval()
class GeoMatchTerm(Term):
def __init__(self, column_name: str,
match_type: GeoMatchType,
geometry: SlfGeometry):
self.column_name = column_name
self.match_type = match_type
self.geometry = geometry
def eval(self):
return 'match ({}, {}) using {}'.format(
self.column_name,
geo_shape_term(self.geometry),
self.match_type.value
)
class GeoEqualTerm(Term):
def __init__(self, column_name: str, geometry: SlfGeometry):
self.column_name = column_name
self.geometry = geometry
def eval(self):
geo_shape = geo_shape_term(self.geometry)
return 'match ({}, {}) using {} and within({}, {})'.format(
self.column_name,
geo_shape,
GeoMatchType.WITHIN.value,
geo_shape,
self.column_name
)
class GeoDistanceTerm(Term):
def __init__(self, column_name: str, point_from: SlfPoint):
self.column_name = column_name
self.point_from = point_from
def eval(self):
return 'distance({}, {})'.format(
self.column_name, geo_shape_term(self.point_from))
def intersects(column: str, geometry: SlfGeometry) -> GeoMatchTerm:
return GeoMatchTerm(column, GeoMatchType.INTERSECTS, geometry)
def disjoint(column: str, geometry: SlfGeometry) -> GeoMatchTerm:
return GeoMatchTerm(column, GeoMatchType.DISJOINT, geometry)
def within(column: str, geometry: SlfGeometry) -> GeoMatchTerm:
return GeoMatchTerm(column, GeoMatchType.WITHIN, geometry)
def distance(column: str, point_from: SlfPoint):
return GeoDistanceTerm(column, point_from)
def equals(column: str, geometry: SlfGeometry) -> GeoEqualTerm:
return GeoEqualTerm(column, geometry)
| 26.8625 | 67 | 0.662634 | 236 | 2,149 | 5.813559 | 0.173729 | 0.094752 | 0.102041 | 0.081633 | 0.454811 | 0.431487 | 0.348397 | 0.287172 | 0.166181 | 0 | 0 | 0 | 0.236389 | 2,149 | 79 | 68 | 27.202532 | 0.836076 | 0 | 0 | 0.226415 | 0 | 0 | 0.04886 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.226415 | false | 0 | 0.056604 | 0.132075 | 0.584906 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
222dc6c0a7b30c650fe23ae86cbbdbc32be34838 | 11,963 | py | Python | PupilDilationAnalyzer.py | peitek/eyetracking-analyses | 3258b8bc7ff4bd8ca952ade900dc83cf06add170 | [
"MIT"
] | null | null | null | PupilDilationAnalyzer.py | peitek/eyetracking-analyses | 3258b8bc7ff4bd8ca952ade900dc83cf06add170 | [
"MIT"
] | null | null | null | PupilDilationAnalyzer.py | peitek/eyetracking-analyses | 3258b8bc7ff4bd8ca952ade900dc83cf06add170 | [
"MIT"
] | null | null | null | from os.path import join
import math
import numpy
import _pickle as pickle
from config import PATH_DATA_PREPROCESSED, PATH_DATA_OUTPUT, PARTICIPANTS
# TODO remove required response log file
# TODO remove required physio log file
# TODO generalize code better (e.g., conditions)
# TODO clean up code
# TODO comment/document functions
def analyze_pupil_dilation_movement_for_all_participants(participants):
average_dilation_gaze_pos_over_time = []
for participant in participants:
pupil_dilation_over_time = {}
pupil_dilation_over_time = analyze_each_frame_movement(participants, participant, pupil_dilation_over_time)
print("\n#### ANALYSIS FOR PARTICIPANT")
for timestamp in sorted(pupil_dilation_over_time):
data = pupil_dilation_over_time[timestamp]
average_dilation_gaze_pos_over_time.append({
"participant": participant,
"timestamp": timestamp,
"average_dilation": math.floor(numpy.mean([item['pupil_dilation'] for item in data])),
"gaze_x": math.floor(numpy.mean([item['gaze_x'] for item in data])),
"gaze_y": math.floor(numpy.mean([item['gaze_y'] for item in data])),
})
# write objects to file as giant csv
output_file_path = join(PATH_DATA_OUTPUT, "pupil_dilation_gaze_pos_time_sec.csv")
with open(output_file_path, 'w') as output_file:
file_write = output_file.write
file_write("time;gaze_x;gaze_y;pupil_dilation;subject\n")
for line in average_dilation_gaze_pos_over_time:
file_write(str(line["timestamp"]) + ";" + str(line["gaze_x"]) + ";"+ str(line["gaze_y"]) + ";"+ str(line["average_dilation"]) + ";" + line["participant"] + "\n")
def analyze_pupil_dilation_for_all_participants(participants):
average_dilation_per_condition = []
average_dilation_per_snippet_time_participant = []
average_dilation_per_snippet_time = []
average_dilation_per_snippet_raw = {}
average_dilation_per_snippet_processed = []
average_dilation_over_time = []
pupil_dilation_per_snippet = {}
for participant in participants:
pupil_dilation_per_condition = {}
pupil_dilation_per_snippet_participant = {}
pupil_dilation_over_time = {}
[pupil_dilation_over_time, pupil_dilation_per_condition, pupil_dilation_per_snippet_participant, pupil_dilation_per_snippet] = analyze_each_frame(participants, participant, pupil_dilation_over_time, pupil_dilation_per_condition, pupil_dilation_per_snippet_participant, pupil_dilation_per_snippet)
print("\n#### ANALYSIS FOR PARTICIPANT")
for timestamp in sorted(pupil_dilation_over_time):
data = pupil_dilation_over_time[timestamp]
average_dilation_over_time.append({
"participant": participant,
"timestamp": timestamp,
"average_dilation": math.floor(numpy.mean(data))
})
for condition in sorted(pupil_dilation_per_condition):
for timestamp in sorted(pupil_dilation_per_condition[condition]):
data = pupil_dilation_per_condition[condition][timestamp]
average_dilation_per_condition.append({
"participant": participant,
"condition": condition,
"timestamp": timestamp,
"average_dilation": math.floor(numpy.mean(data))
})
for condition in sorted(pupil_dilation_per_snippet_participant):
for snippet in sorted(pupil_dilation_per_snippet_participant[condition]):
for timestamp in sorted(pupil_dilation_per_snippet_participant[condition][snippet]):
data = pupil_dilation_per_snippet_participant[condition][snippet][timestamp]
average_dilation_per_snippet_time_participant.append({
"participant": participant,
"condition": condition,
"snippet": snippet,
"timestamp": timestamp,
"average_dilation": math.floor(numpy.mean(data))
})
for condition in sorted(pupil_dilation_per_snippet):
for snippet in sorted(pupil_dilation_per_snippet[condition]):
for timestamp in sorted(pupil_dilation_per_snippet[condition][snippet]):
data = pupil_dilation_per_snippet[condition][snippet][timestamp]
average = math.floor(numpy.mean(data))
average_dilation_per_snippet_time.append({
"condition": condition,
"snippet": snippet,
"timestamp": timestamp,
"average_dilation": average
})
if snippet not in average_dilation_per_snippet_raw:
average_dilation_per_snippet_raw[snippet] = []
average_dilation_per_snippet_raw[snippet].append({
"condition": condition,
"snippet": snippet,
"average_dilation": average
})
for condition in sorted(pupil_dilation_per_snippet):
for snippet in sorted(pupil_dilation_per_snippet[condition]):
for timestamp in sorted(pupil_dilation_per_snippet[condition][snippet]):
data = pupil_dilation_per_snippet[condition][snippet][timestamp]
average = math.floor(numpy.mean(data))
average_dilation_per_snippet_processed.append({
"condition": condition,
"snippet": snippet,
"timestamp": timestamp,
"average_dilation": average
})
print("\n#### WRITE RESULTS TO CSV")
write_dilation_over_time(average_dilation_over_time)
write_dilation_per_condition(average_dilation_per_condition)
write_dilation_per_snippet_participant(average_dilation_per_snippet_time_participant)
write_dilation_per_snippet(average_dilation_per_snippet_time)
print("-> saving file: done!")
def write_dilation_over_time(average_dilation_over_time):
# write objects to file as giant csv
output_file_path = join(PATH_DATA_OUTPUT, "pupil_dilation_time_sec.csv")
with open(output_file_path, 'w') as output_file:
file_write = output_file.write
file_write("time;pupil_dilation;subject\n")
for line in average_dilation_over_time:
file_write(str(line["timestamp"]) + ";" + str(line["average_dilation"]) + ";" + line["participant"] + "\n")
def write_dilation_per_condition(average_dilation_per_condition):
# write objects to file as giant csv
output_file_path = join(PATH_DATA_OUTPUT, "pupil_dilation_condition.csv")
with open(output_file_path, 'w') as output_file:
file_write = output_file.write
file_write("condition;time;pupil_dilation;subject\n")
for line in average_dilation_per_condition:
file_write(line["condition"] + ";" + str(line["timestamp"]) + ";" + str(line["average_dilation"]) + ";" + line["participant"] + "\n")
def write_dilation_per_snippet(average_dilation_per_snippet):
# write objects to file as giant csv
output_file_path = join(PATH_DATA_OUTPUT, "pupil_dilation_snippet.csv")
with open(output_file_path, 'w') as output_file:
file_write = output_file.write
file_write("condition;snippet;time;pupil_dilation;subject\n")
for line in average_dilation_per_snippet:
file_write(line["condition"] + ";" + line["snippet"] + ";" + str(line["timestamp"]) + ";" + str(line["average_dilation"]) + ";average\n")
def write_dilation_per_snippet_participant(average_dilation_per_snippet_participant):
# write objects to file as giant csv
output_file_path = join(PATH_DATA_OUTPUT, "pupil_dilation_snippet_participant.csv")
with open(output_file_path, 'w') as output_file:
file_write = output_file.write
file_write("condition;snippet;time;pupil_dilation;subject\n")
for line in average_dilation_per_snippet_participant:
file_write(line["condition"] + ";" + line["snippet"] + ";" + str(line["timestamp"]) + ";" + str(line["average_dilation"]) + ";" + line["participant"] + "\n")
def analyze_each_frame_movement(participants, participant_id, pupil_dilation_over_time):
with open(join(PATH_DATA_PREPROCESSED, "full", participant_id + "_pupil_data_raw.pkl"), 'rb') as input:
eyetracking_data = pickle.load(input)
print("\n## " + participant_id)
for et_frame in eyetracking_data:
# over time
grouped_time = math.floor(et_frame["timestamp"]/100)
if grouped_time not in pupil_dilation_over_time:
pupil_dilation_over_time[grouped_time] = []
pupil_dilation_over_time[grouped_time].append({
"pupil_dilation": math.floor(float(et_frame["pupil_dilation"])),
"gaze_x": math.floor(float(et_frame["gaze_x"])),
"gaze_y": math.floor(float(et_frame["gaze_y"])),
})
return pupil_dilation_over_time
def analyze_each_frame(participants, participant_id, pupil_dilation_over_time, pupil_dilation_per_condition, pupil_dilation_per_snippet_participant, pupil_dilation_per_snippet):
with open(join(PATH_DATA_PREPROCESSED, "full", participant_id + "_pupil_data_raw.pkl"), 'rb') as input:
eyetracking_data = pickle.load(input)
print("\n## " + participant_id)
trial_category = None
for et_frame in eyetracking_data:
#print("-> found frame for " + str(et_frame["snippet"]) + " after " + str(et_frame["frames"]) + " frames, pupil dilation: " + et_frame["pupil_dilation"])
if trial_category != et_frame["trial_category"]:
#print("switched to " + et_frame["trial_category"] + " after " + str(et_frame["timestamp"]))
trial_category = et_frame["trial_category"]
# per condition
grouped_frame_10 = math.floor(et_frame["frames"]/10)
if trial_category not in pupil_dilation_per_condition:
pupil_dilation_per_condition[trial_category] = {}
if grouped_frame_10 not in pupil_dilation_per_condition[trial_category]:
pupil_dilation_per_condition[trial_category][grouped_frame_10] = []
pupil_dilation_per_condition[trial_category][grouped_frame_10].append(math.floor(float(et_frame["pupil_dilation"])))
# per snippet
set_snippet_to_data(et_frame, pupil_dilation_per_snippet_participant, trial_category)
set_snippet_to_data(et_frame, pupil_dilation_per_snippet, trial_category)
# over time
grouped_time = math.floor(et_frame["timestamp"]/100)
if grouped_time not in pupil_dilation_over_time:
pupil_dilation_over_time[grouped_time] = []
pupil_dilation_over_time[grouped_time].append(math.floor(float(et_frame["pupil_dilation"])))
return [pupil_dilation_over_time, pupil_dilation_per_condition, pupil_dilation_per_snippet_participant, pupil_dilation_per_snippet]
def set_snippet_to_data(et_frame, pupil_dilation_dict, trial_category):
grouped_frame_100 = math.floor(et_frame["frames"] / 100)
if trial_category not in pupil_dilation_dict:
pupil_dilation_dict[trial_category] = {}
snippet = et_frame["snippet"]
if snippet not in pupil_dilation_dict[trial_category]:
pupil_dilation_dict[trial_category][snippet] = {}
if grouped_frame_100 not in pupil_dilation_dict[trial_category][snippet]:
pupil_dilation_dict[trial_category][snippet][grouped_frame_100] = []
pupil_dilation_dict[trial_category][snippet][grouped_frame_100].append(math.floor(float(et_frame["pupil_dilation"])))
if __name__ == "__main__": analyze_pupil_dilation_for_all_participants(PARTICIPANTS)
| 46.368217 | 304 | 0.679177 | 1,399 | 11,963 | 5.396712 | 0.075054 | 0.148079 | 0.107285 | 0.076159 | 0.884503 | 0.829536 | 0.717483 | 0.658543 | 0.601722 | 0.49351 | 0 | 0.003344 | 0.225111 | 11,963 | 257 | 305 | 46.548638 | 0.811111 | 0.053248 | 0 | 0.448864 | 0 | 0 | 0.113096 | 0.031833 | 0 | 0 | 0 | 0.003891 | 0 | 1 | 0.051136 | false | 0 | 0.028409 | 0 | 0.090909 | 0.034091 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
223e3392d634ac4989017aa2a17ebd531e74d154 | 953 | py | Python | ida_plugins/ui/ida_70/sample_plugin_dialog.py | CrackerCat/reverse_engineering_tools | 393a26246a4c6150bce9c4a8c80c338d1653058a | [
"MIT"
] | 69 | 2020-08-19T15:10:30.000Z | 2022-03-17T08:41:36.000Z | ida_plugins/ui/ida_70/sample_plugin_dialog.py | CrackerCat/reverse_engineering_tools | 393a26246a4c6150bce9c4a8c80c338d1653058a | [
"MIT"
] | null | null | null | ida_plugins/ui/ida_70/sample_plugin_dialog.py | CrackerCat/reverse_engineering_tools | 393a26246a4c6150bce9c4a8c80c338d1653058a | [
"MIT"
] | 15 | 2020-01-20T04:47:17.000Z | 2022-02-25T06:32:01.000Z | """
Sample dialog box UI for IDA 7.0 plugins which lets the user choose between several options
"""
from idaapi import *
def dummy1():
print('inside dummy1\n')
def dummy2():
print('inside dummy2\n')
options = [
('First option', dummy1),
('Second option', dummy2),
]
def main():
title = 'My title'
class MainMenu(Choose):
def __init__(self):
Choose.__init__(self, title=title, cols=[["Option", 10]], flags=0x11)
def OnClose(self):
pass
def OnGetLine(self, n):
return [options[n][0]]
def OnGetSize(self):
return len(options)
def OnSelectLine(self, n):
f = options[n][1]
f()
pass
menu = MainMenu()
menu.Show(modal=True)
class MyPlugin(plugin_t):
flags = PLUGIN_FIX
comment = 'My Comment'
help = 'My Help'
wanted_name = 'My Plugin Name'
wanted_hotkey = 'Alt-1'
def init(self):
return PLUGIN_KEEP
def run(self, arg):
main()
def term(self):
pass
def PLUGIN_ENTRY():
return MyPlugin()
| 14.661538 | 91 | 0.656873 | 136 | 953 | 4.5 | 0.5 | 0.039216 | 0.035948 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02097 | 0.19937 | 953 | 64 | 92 | 14.890625 | 0.781127 | 0.095488 | 0 | 0.075 | 0 | 0 | 0.122951 | 0 | 0 | 0 | 0.004684 | 0 | 0 | 1 | 0.3 | false | 0.075 | 0.025 | 0.1 | 0.6 | 0.05 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 |
2262370847bb13eeb66c044712636a9b4fa8dab3 | 65 | py | Python | sqlfocus/__init__.py | XuHg-zjcn/sqlfocus | 9d3bacbe82564f7e8414cf252c45f9cc4b9b91d4 | [
"MIT"
] | 1 | 2021-03-18T23:05:21.000Z | 2021-03-18T23:05:21.000Z | sqlfocus/__init__.py | XuHg-zjcn/sqlfocus | 9d3bacbe82564f7e8414cf252c45f9cc4b9b91d4 | [
"MIT"
] | 1 | 2021-11-02T18:43:45.000Z | 2021-11-02T18:43:45.000Z | sqlfocus/__init__.py | XuHg-zjcn/sqlfocus | 9d3bacbe82564f7e8414cf252c45f9cc4b9b91d4 | [
"MIT"
] | 1 | 2021-11-02T17:27:40.000Z | 2021-11-02T17:27:40.000Z | from .table import SQLTable, SQLTableBase
__version__ = "0.3.4"
| 16.25 | 41 | 0.753846 | 9 | 65 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.053571 | 0.138462 | 65 | 3 | 42 | 21.666667 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0.076923 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
97db3aba9685655dca6d7d7db801e90842b4323e | 2,335 | py | Python | d4rl/gym_minigrid/fourroom_controller.py | chappers/d4rl | b838da60b51c98c1d673a81657f58a44ccf5d3fe | [
"Apache-2.0"
] | 552 | 2020-04-20T01:07:02.000Z | 2022-03-31T16:47:39.000Z | d4rl/gym_minigrid/fourroom_controller.py | chappers/d4rl | b838da60b51c98c1d673a81657f58a44ccf5d3fe | [
"Apache-2.0"
] | 103 | 2020-04-20T14:18:32.000Z | 2022-03-30T14:33:45.000Z | d4rl/gym_minigrid/fourroom_controller.py | chappers/d4rl | b838da60b51c98c1d673a81657f58a44ccf5d3fe | [
"Apache-2.0"
] | 135 | 2020-04-21T16:57:52.000Z | 2022-03-30T14:29:55.000Z | import numpy as np
import random
from d4rl.pointmaze import q_iteration
from d4rl.pointmaze.gridcraft import grid_env
from d4rl.pointmaze.gridcraft import grid_spec
MAZE = \
"###################\\"+\
"#OOOOOOOO#OOOOOOOO#\\"+\
"#OOOOOOOO#OOOOOOOO#\\"+\
"#OOOOOOOOOOOOOOOOO#\\"+\
"#OOOOOOOO#OOOOOOOO#\\"+\
"#OOOOOOOO#OOOOOOOO#\\"+\
"#OOOOOOOO#OOOOOOOO#\\"+\
"#OOOOOOOO#OOOOOOOO#\\"+\
"#OOOOOOOO#OOOOOOOO#\\"+\
"####O#########O####\\"+\
"#OOOOOOOO#OOOOOOOO#\\"+\
"#OOOOOOOO#OOOOOOOO#\\"+\
"#OOOOOOOO#OOOOOOOO#\\"+\
"#OOOOOOOO#OOOOOOOO#\\"+\
"#OOOOOOOO#OOOOOOOO#\\"+\
"#OOOOOOOO#OOOOOOOO#\\"+\
"#OOOOOOOOOOOOOOOOO#\\"+\
"#OOOOOOOO#OOOOOOOO#\\"+\
"###################\\"
# NLUDR -> RDLU
TRANSLATE_DIRECTION = {
0: None,
1: 3,#3,
2: 1,#1,
3: 2,#2,
4: 0,#0,
}
RIGHT = 1
LEFT = 0
FORWARD = 2
class FourRoomController(object):
def __init__(self):
self.env = grid_env.GridEnv(grid_spec.spec_from_string(MAZE))
self.reset_locations = list(zip(*np.where(self.env.gs.spec == grid_spec.EMPTY)))
def sample_target(self):
return random.choice(self.reset_locations)
def set_target(self, target):
self.target = target
self.env.gs[target] = grid_spec.REWARD
self.q_values = q_iteration.q_iteration(env=self.env, num_itrs=32, discount=0.99)
self.env.gs[target] = grid_spec.EMPTY
def get_action(self, pos, orientation):
if tuple(pos) == tuple(self.target):
done = True
else:
done = False
env_pos_idx = self.env.gs.xy_to_idx(pos)
qvalues = self.q_values[env_pos_idx]
direction = TRANSLATE_DIRECTION[np.argmax(qvalues)]
#tgt_pos, _ = self.env.step_stateless(env_pos_idx, np.argmax(qvalues))
#tgt_pos = self.env.gs.idx_to_xy(tgt_pos)
#print('\tcmd_dir:', direction, np.argmax(qvalues), qvalues, tgt_pos)
#infos = {}
#infos['tgt_pos'] = tgt_pos
if orientation == direction or direction == None:
return FORWARD, done
else:
return get_turn(orientation, direction), done
#RDLU
TURN_DIRS = [
[None, RIGHT, RIGHT, LEFT], #R
[LEFT, None, RIGHT, RIGHT], #D
[RIGHT, LEFT, None, RIGHT], #L
[RIGHT, RIGHT, LEFT, None], #U
]
def get_turn(ori, tgt_ori):
return TURN_DIRS[ori][tgt_ori]
| 27.470588 | 89 | 0.608137 | 291 | 2,335 | 4.704467 | 0.302406 | 0.280497 | 0.350621 | 0.39737 | 0.315559 | 0.315559 | 0.229365 | 0.128561 | 0.128561 | 0.128561 | 0 | 0.01291 | 0.203854 | 2,335 | 84 | 90 | 27.797619 | 0.723507 | 0.10364 | 0 | 0.272727 | 0 | 0 | 0.192104 | 0.192104 | 0 | 0 | 0 | 0 | 0 | 1 | 0.075758 | false | 0 | 0.075758 | 0.030303 | 0.227273 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
97ec9f21d8b2ed72072ccf1d17aba6db890c777a | 370 | py | Python | backend/student/admin.py | Cian747/student-motivation | 49be6b57a44dec7f0c436e3bc6a8546ccd44152c | [
"MIT"
] | null | null | null | backend/student/admin.py | Cian747/student-motivation | 49be6b57a44dec7f0c436e3bc6a8546ccd44152c | [
"MIT"
] | null | null | null | backend/student/admin.py | Cian747/student-motivation | 49be6b57a44dec7f0c436e3bc6a8546ccd44152c | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import Category, StudentUser,Motivation,Review,WishList,Profile,ReviewThread
# Register your models here.
admin.site.register(StudentUser)
admin.site.register(Profile)
admin.site.register(Motivation)
admin.site.register(ReviewThread)
admin.site.register(Category)
admin.site.register(Review)
admin.site.register(WishList)
| 28.461538 | 89 | 0.835135 | 47 | 370 | 6.574468 | 0.361702 | 0.203884 | 0.385113 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.062162 | 370 | 12 | 90 | 30.833333 | 0.89049 | 0.07027 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.222222 | 0 | 0.222222 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
97f5f38e60f2de2ce7a9c04870086f71ab006e74 | 584 | py | Python | nnutil2/util/__init__.py | aroig/nnutil2 | 1fc77df351d4eee1166688e25a94287a5cfa27c4 | [
"BSD-3-Clause"
] | null | null | null | nnutil2/util/__init__.py | aroig/nnutil2 | 1fc77df351d4eee1166688e25a94287a5cfa27c4 | [
"BSD-3-Clause"
] | 3 | 2020-11-13T18:33:29.000Z | 2021-08-25T15:55:57.000Z | nnutil2/util/__init__.py | aroig/nnutil2 | 1fc77df351d4eee1166688e25a94287a5cfa27c4 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# nnutil2 - Tensorflow utilities for training neural networks
# Copyright (c) 2019, Abdó Roig-Maranges <abdo.roig@gmail.com>
#
# This file is part of 'nnutil2'.
#
# This file may be modified and distributed under the terms of the 3-clause BSD
# license. See the LICENSE file for details.
from .tensorboard import *
from .shape import *
from .interpolate_shape import *
from .kwargs_for import *
from .numpy_json_encoder import *
from .cached_property import *
from .interleave import *
from .uninterleave import *
from .timer import *
| 27.809524 | 79 | 0.744863 | 84 | 584 | 5.119048 | 0.666667 | 0.186047 | 0.069767 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016293 | 0.159247 | 584 | 20 | 80 | 29.2 | 0.85947 | 0.541096 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
3f06b008405b791e952feebf85177fb35611a404 | 250 | py | Python | src/tcal.py | gpu0/gemm | 3aa50005e3f380ab89b29dd7793c1f52c2ce6b23 | [
"MIT"
] | null | null | null | src/tcal.py | gpu0/gemm | 3aa50005e3f380ab89b29dd7793c1f52c2ce6b23 | [
"MIT"
] | null | null | null | src/tcal.py | gpu0/gemm | 3aa50005e3f380ab89b29dd7793c1f52c2ce6b23 | [
"MIT"
] | null | null | null | """
Calculate different thread patterns
"""
tx = list(range(0, 256))
#print("sAtx", map(lambda x: (x%2) * 512 + x/2, tx))
print("gmStoreCtx", map(lambda x: (x%16)*2 + (x/16)*16*8, tx))
print("", map(lambda x: (x%16)*2 + (x/16)*16*8 + 32 + 1, tx))
| 22.727273 | 62 | 0.568 | 47 | 250 | 3.021277 | 0.446809 | 0.084507 | 0.211268 | 0.232394 | 0.28169 | 0.28169 | 0.28169 | 0.28169 | 0.28169 | 0.28169 | 0 | 0.133333 | 0.16 | 250 | 10 | 63 | 25 | 0.542857 | 0.348 | 0 | 0 | 0 | 0 | 0.064935 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.666667 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 |
3f2deb68c60ebfb66dff7097b04e2e38d5650535 | 644 | py | Python | python/tests/test_multi-bracket-validation.py | everydaytimmy/data-structures-and-algorithms | eb8166c79c5cccfd20ad591c496c81dab82e297d | [
"MIT"
] | null | null | null | python/tests/test_multi-bracket-validation.py | everydaytimmy/data-structures-and-algorithms | eb8166c79c5cccfd20ad591c496c81dab82e297d | [
"MIT"
] | 10 | 2021-04-14T20:08:53.000Z | 2021-05-25T23:59:45.000Z | python/tests/test_multi-bracket-validation.py | everydaytimmy/data-structures-and-algorithms | eb8166c79c5cccfd20ad591c496c81dab82e297d | [
"MIT"
] | null | null | null | from code_challenges.multi_bracket_validation.multi_bracket_validation import (multi_bracket_validation)
def test_one():
string = "{}{Code}[Fellows](())"
actual = multi_bracket_validation(string)
expected = True
assert actual == expected
def test_two():
string = "{{}}}}"
actual = multi_bracket_validation(string)
expected = False
assert actual == expected
def test_three():
string = "(){}[]"
actual = multi_bracket_validation(string)
expected = True
assert actual == expected
def test_four():
string = "{"
actual = multi_bracket_validation(string)
expected = False
assert actual == expected
| 24.769231 | 104 | 0.703416 | 71 | 644 | 6.112676 | 0.28169 | 0.193548 | 0.354839 | 0.258065 | 0.702765 | 0.686636 | 0.686636 | 0.672811 | 0.672811 | 0.672811 | 0 | 0 | 0.180124 | 644 | 25 | 105 | 25.76 | 0.82197 | 0 | 0 | 0.571429 | 0 | 0 | 0.052795 | 0.032609 | 0 | 0 | 0 | 0 | 0.190476 | 1 | 0.190476 | false | 0 | 0.047619 | 0 | 0.238095 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
3f51f1f166df3051d1744f7177ada944d75fd4af | 3,212 | py | Python | test/record/parser/test_response_whois_ua_ua_uanic_property_contacts_multiple.py | huyphan/pyyawhois | 77fb2f73a9c67989f1d41d98f37037406a69d136 | [
"MIT"
] | null | null | null | test/record/parser/test_response_whois_ua_ua_uanic_property_contacts_multiple.py | huyphan/pyyawhois | 77fb2f73a9c67989f1d41d98f37037406a69d136 | [
"MIT"
] | null | null | null | test/record/parser/test_response_whois_ua_ua_uanic_property_contacts_multiple.py | huyphan/pyyawhois | 77fb2f73a9c67989f1d41d98f37037406a69d136 | [
"MIT"
] | null | null | null |
# This file is autogenerated. Do not edit it manually.
# If you want change the content of this file, edit
#
# spec/fixtures/responses/whois.ua/ua/uanic/property_contacts_multiple
#
# and regenerate the tests with the following script
#
# $ scripts/generate_tests.py
#
from nose.tools import *
from dateutil.parser import parse as time_parse
import yawhois
class TestWhoisUaUaUanicPropertyContactsMultiple(object):
def setUp(self):
fixture_path = "spec/fixtures/responses/whois.ua/ua/uanic/property_contacts_multiple.txt"
host = "whois.ua"
part = yawhois.record.Part(open(fixture_path, "r").read(), host)
self.record = yawhois.record.Record(None, [part])
def test_technical_contacts(self):
eq_(self.record.technical_contacts.__class__.__name__, 'list')
eq_(len(self.record.technical_contacts), 2)
eq_(self.record.technical_contacts[0].__class__.__name__, 'Contact')
eq_(self.record.technical_contacts[0].type, yawhois.record.Contact.TYPE_TECHNICAL)
eq_(self.record.technical_contacts[0].id, "KG780-UANIC")
eq_(self.record.technical_contacts[0].name, None)
eq_(self.record.technical_contacts[0].organization, "Kyivstar GSM")
eq_(self.record.technical_contacts[0].address, "Chervonozoryanyi Av., 51")
eq_(self.record.technical_contacts[0].city, "KYIV")
eq_(self.record.technical_contacts[0].zip, "03110")
eq_(self.record.technical_contacts[0].state, None)
eq_(self.record.technical_contacts[0].country, "UA")
eq_(self.record.technical_contacts[0].country_code, None)
eq_(self.record.technical_contacts[0].phone, "+380 (67) 2372213")
eq_(self.record.technical_contacts[0].fax, "+380 (44) 2473954")
eq_(self.record.technical_contacts[0].email, "dnsmaster@kyivstar.net")
eq_(self.record.technical_contacts[0].created_on, None)
eq_(self.record.technical_contacts[0].updated_on, time_parse('2008-09-02 12:52:47'))
eq_(self.record.technical_contacts[1].__class__.__name__, 'Contact')
eq_(self.record.technical_contacts[1].type, yawhois.record.Contact.TYPE_TECHNICAL)
eq_(self.record.technical_contacts[1].id, "EIC-UANIC")
eq_(self.record.technical_contacts[1].name, None)
eq_(self.record.technical_contacts[1].organization, "\"ElVisti Information Center\", LLC\nООО \"Информационный центр \"Электронные вести\"\nТОВ \"ІЦ ЕЛВІСТІ\"")
eq_(self.record.technical_contacts[1].address, "а/с, 151")
eq_(self.record.technical_contacts[1].city, "КИЇВ")
eq_(self.record.technical_contacts[1].zip, "03037")
eq_(self.record.technical_contacts[1].state, None)
eq_(self.record.technical_contacts[1].country, "UA")
eq_(self.record.technical_contacts[1].country_code, None)
eq_(self.record.technical_contacts[1].phone, "+38044 239-90-91")
eq_(self.record.technical_contacts[1].fax, None)
eq_(self.record.technical_contacts[1].email, "hostmaster@visti.net")
eq_(self.record.technical_contacts[1].created_on, None)
eq_(self.record.technical_contacts[1].updated_on, time_parse('2011-12-15 11:33:14'))
| 54.440678 | 168 | 0.707347 | 429 | 3,212 | 5.034965 | 0.314685 | 0.162037 | 0.299074 | 0.425 | 0.620833 | 0.607407 | 0.362037 | 0.237037 | 0.115741 | 0.115741 | 0 | 0.042373 | 0.155044 | 3,212 | 58 | 169 | 55.37931 | 0.7535 | 0.079078 | 0 | 0 | 1 | 0 | 0.12114 | 0.031897 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0.068182 | 0 | 0.136364 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
3f58b705036bdccebde3019424f2e2e4b2126bd1 | 93 | py | Python | python/1011.py | LourdesOshiroIgarashi/uri-begginner | 05f7993dfde2c7cc49e5b74907dee6297c82f447 | [
"MIT"
] | 3 | 2021-05-17T05:39:08.000Z | 2021-05-23T05:14:54.000Z | python/1011.py | LourdesOshiroIgarashi/uri-beginner | 05f7993dfde2c7cc49e5b74907dee6297c82f447 | [
"MIT"
] | null | null | null | python/1011.py | LourdesOshiroIgarashi/uri-beginner | 05f7993dfde2c7cc49e5b74907dee6297c82f447 | [
"MIT"
] | null | null | null | r = int(input())
pi = 3.14159
v = (4/3) *pi * (r ** 3)
print("VOLUME = {0:.3f}".format(v))
| 13.285714 | 35 | 0.483871 | 18 | 93 | 2.5 | 0.722222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.148649 | 0.204301 | 93 | 6 | 36 | 15.5 | 0.459459 | 0 | 0 | 0 | 0 | 0 | 0.172043 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.25 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
58bb2340b8eca1239c0703eb82cd1335bf3581b3 | 278 | py | Python | 1-lsh/Fred.py | lukaselmer/ethz-data-mining | cb4215c202efc37f3626a25c8301a4ac36813493 | [
"MIT"
] | 2 | 2015-01-24T18:22:33.000Z | 2019-08-14T06:30:58.000Z | 1-lsh/Fred.py | lukaselmer/ethz-data-mining | cb4215c202efc37f3626a25c8301a4ac36813493 | [
"MIT"
] | null | null | null | 1-lsh/Fred.py | lukaselmer/ethz-data-mining | cb4215c202efc37f3626a25c8301a4ac36813493 | [
"MIT"
] | 2 | 2016-01-15T21:12:32.000Z | 2019-08-14T06:30:59.000Z | #!/usr/bin/env python
import sys
import numpy as np
from numpy.core.multiarray import dtype
def test(str):
key,video_id,shingles = str.split(',')
return key,video_id, shingles
if __name__ == "__main__":
str = "0:195043920039,0,[123 1 34 45]"
test(str) | 16.352941 | 46 | 0.665468 | 43 | 278 | 4.069767 | 0.72093 | 0.08 | 0.114286 | 0.205714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.099548 | 0.205036 | 278 | 17 | 47 | 16.352941 | 0.692308 | 0.071942 | 0 | 0 | 0 | 0 | 0.166667 | 0.081395 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.333333 | 0 | 0.555556 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
58c06e58e5690fd8fee5c78d6212da3969ff7259 | 2,462 | py | Python | tests/Composition/test_Composition__species_molar_densities.py | kamilazdybal/multipy | ebdcddb63bfb1cd647ca99bbf9002b04a9b50ed9 | [
"MIT"
] | null | null | null | tests/Composition/test_Composition__species_molar_densities.py | kamilazdybal/multipy | ebdcddb63bfb1cd647ca99bbf9002b04a9b50ed9 | [
"MIT"
] | null | null | null | tests/Composition/test_Composition__species_molar_densities.py | kamilazdybal/multipy | ebdcddb63bfb1cd647ca99bbf9002b04a9b50ed9 | [
"MIT"
] | null | null | null | import unittest
import numpy as np
import multipy
################################################################################
################################################################################
####
#### Class: Composition
####
################################################################################
################################################################################
class Composition(unittest.TestCase):
def test_Composition__species_molar_densities__allowed_calls(self):
species_mole_fractions = np.random.rand(100,10)
T = 300
p = 10000
try:
comp = multipy.Composition()
c = comp.species_molar_densities(species_mole_fractions, T, p)
(n_observations, n_species) = np.shape(c)
self.assertTrue(n_observations == 100)
self.assertTrue(n_species == 10)
except Exception:
self.assertTrue(False)
species_mole_fractions = np.random.rand(100,1)
try:
comp = multipy.Composition()
c = comp.species_molar_densities(species_mole_fractions, T, p)
(n_observations, n_species) = np.shape(c)
self.assertTrue(n_observations == 100)
self.assertTrue(n_species == 1)
except Exception:
self.assertTrue(False)
################################################################################
################################################################################
def test_Composition__species_molar_densities__not_allowed_calls(self):
species_mole_fractions = np.random.rand(100,1).ravel()
T = 300
p = 10000
comp = multipy.Composition()
with self.assertRaises(ValueError):
c = comp.species_molar_densities(species_mole_fractions, T, p)
with self.assertRaises(ValueError):
c = comp.species_molar_densities(1, T, p)
with self.assertRaises(ValueError):
c = comp.species_molar_densities([1,2,3], T, p)
################################################################################
################################################################################
def test_Composition__species_molar_densities__computation(self):
pass
################################################################################
################################################################################
| 35.681159 | 80 | 0.42567 | 190 | 2,462 | 5.231579 | 0.247368 | 0.096579 | 0.169014 | 0.085513 | 0.830986 | 0.762575 | 0.644869 | 0.644869 | 0.607646 | 0.577465 | 0 | 0.02099 | 0.187246 | 2,462 | 68 | 81 | 36.205882 | 0.475762 | 0.007311 | 0 | 0.605263 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.236842 | 1 | 0.078947 | false | 0.026316 | 0.078947 | 0 | 0.184211 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
58c8ae18db0fa9424e9c7d3ffcb0dfa8924bde01 | 2,972 | py | Python | thirdparty/bintrees-2.0.7/issues/004_rbtree_copy.py | anonymouscode1/djxperf | b6073a761753aa7a6247f2618977ca3a2633e78a | [
"MIT"
] | 50 | 2019-08-30T13:20:19.000Z | 2022-02-12T16:25:38.000Z | thirdparty/bintrees-2.0.7/issues/004_rbtree_copy.py | anonymouscode1/djxperf | b6073a761753aa7a6247f2618977ca3a2633e78a | [
"MIT"
] | 5 | 2019-09-02T17:42:07.000Z | 2020-07-17T09:30:47.000Z | thirdparty/bintrees-2.0.7/issues/004_rbtree_copy.py | anonymouscode1/djxperf | b6073a761753aa7a6247f2618977ca3a2633e78a | [
"MIT"
] | 4 | 2020-03-30T02:57:51.000Z | 2021-08-24T09:20:51.000Z | '''
Created on Apr 11, 2013
@author: matthijssnel
'''
from bintrees import FastRBTree
def print_node(key, value):
print("Key: {}; Value:{}".format(key, value))
def populate(tree):
tree[20.5] = tree.get(20.5, 0) + 644
tree[17.35] = tree.get(17.35, 0) + 32
tree[19.5] = tree.get(19.5, 0) + 440
tree[20.0] = tree.get(20.0, 0) + 73
tree[18.5] = tree.get(18.5, 0) + 1500
tree[20.8] = tree.get(20.8, 0) + 330
tree[21.0] = tree.get(21.0, 0) + 450
tree[19.25] = tree.get(19.25, 0) + 137
tree[18.7] = tree.get(18.7, 0) + 740
tree[20.12] = tree.get(20.12, 0) + 500
tree[19.85] = tree.get(19.85, 0) + 300
del tree[17.35]
tree[18.5] = 1662
tree[17.23] = tree.get(17.23, 0) + 4594
tree[16.6] = tree.get(16.6, 0) + 2000
tree[16.62] = tree.get(16.62, 0) + 2000
tree[16.66] = tree.get(16.66, 0) + 2000
tree[16.68] = tree.get(16.68, 0) + 2000
tree[16.61] = tree.get(16.61, 0) + 2000
tree[16.64] = tree.get(16.64, 0) + 2000
tree[16.67] = tree.get(16.67, 0) + 2000
tree[16.57] = tree.get(16.57, 0) + 600
tree[16.58] = tree.get(16.58, 0) + 600
tree[16.59] = tree.get(16.59, 0) + 600
del tree[16.68]
tree[16.59] = 2600
tree[16.59] = 2000
tree[16.56] = tree.get(16.56, 0) + 600
tree[16.59] = 2800
del tree[16.67]
tree[16.58] = 2600
tree[16.56] = 5796
tree[16.56] = 600
tree[16.57] = 2600
tree[16.56] = 1400
tree[16.55] = tree.get(16.55, 0) + 5196
tree[16.53] = tree.get(16.53, 0) + 548
tree[16.55] = 5829
tree[16.54] = tree.get(16.54, 0) + 657
tree[16.56] = 1964
tree[16.58] = 3119
tree[16.6] = 2691
tree[16.57] = 3245
tree[16.59] = 3385
tree[16.58] = 3919
tree[16.6] = 3491
tree[16.57] = 4045
del tree[16.66]
tree[16.56] = 2764
tree[16.55] = 6629
tree[16.58] = 3319
tree[16.55] = 7229
tree[16.55] = 2033
tree[16.55] = 2833
tree[16.54] = 1457
tree[16.54] = 6653
tree[16.54] = 5996
tree[16.62] = 2492
del tree[16.53]
tree[16.61] = 2708
tree[16.54] = 5196
tree[16.55] = 2033
tree[16.62] = 2000
tree[16.54] = 5801
tree[16.62] = 2800
tree[16.61] = 3508
tree[16.58] = 3687
tree[16.61] = 2800
tree[16.53] = tree.get(16.53, 0) + 522
tree[16.55] = 2833
tree[16.54] = 6601
tree[16.54] = 1405
tree[16.53] = 5718
tree[16.6] = 2800
tree[16.52] = tree.get(16.52, 0) + 537
tree[16.58] = 3319
tree[16.56] = 3133
tree.copy()
del tree[16.52]
tree[16.6] = 3471
tree[16.6] = 2800
tree[16.52] = tree.get(16.52, 0) + 655
tree[16.54] = 2905
tree[16.57] = 3445
del tree[16.64]
tree[16.54] = 3705
tree[16.53] = 6518
tree[16.59] = 2800
tree[16.51] = tree.get(16.51, 0) + 523
clone = tree.copy()
print("\nOriginal Tree:")
tree.foreach(print_node)
print("\nClone Tree:")
clone.foreach(print_node)
tree = FastRBTree()
populate(tree)
| 26.070175 | 49 | 0.543069 | 550 | 2,972 | 2.929091 | 0.209091 | 0.275605 | 0.100559 | 0.047796 | 0.14401 | 0.129112 | 0.088144 | 0.063315 | 0.038485 | 0.038485 | 0 | 0.357727 | 0.259758 | 2,972 | 113 | 50 | 26.300885 | 0.374545 | 0.015478 | 0 | 0.1 | 0 | 0 | 0.01577 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02 | false | 0 | 0.01 | 0 | 0.03 | 0.06 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
58ce8f1d01d4eaf5ace86e4a20ffc665535d002f | 560 | py | Python | oo_trees/random_forest.py | asross/decision_trees | 8cbdc7a90474abbeddcfccdaadea0e67d67aec86 | [
"Apache-2.0"
] | 1 | 2021-09-18T08:42:05.000Z | 2021-09-18T08:42:05.000Z | oo_trees/random_forest.py | asross/decision_trees | 8cbdc7a90474abbeddcfccdaadea0e67d67aec86 | [
"Apache-2.0"
] | null | null | null | oo_trees/random_forest.py | asross/decision_trees | 8cbdc7a90474abbeddcfccdaadea0e67d67aec86 | [
"Apache-2.0"
] | null | null | null | from collections import Counter
from .classifier import *
from .decision_tree import *
class RandomForest(Classifier):
def __init__(self, dataset, tree_class=DecisionTree, n_trees=10, examples_per_tree=None):
self.trees = [tree_class(dataset.bootstrap(examples_per_tree)) for _i in range(n_trees)]
def vote_on(self, x):
# TODO: we could return early as soon as we have a definite plurality
return Counter(tree.classify(x) for tree in self.trees)
def classify(self, x):
return self.vote_on(x).most_common(1)[0][0]
| 37.333333 | 96 | 0.721429 | 85 | 560 | 4.552941 | 0.517647 | 0.046512 | 0.077519 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010917 | 0.182143 | 560 | 14 | 97 | 40 | 0.834061 | 0.119643 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.071429 | 0 | 1 | 0.3 | false | 0 | 0.3 | 0.2 | 0.9 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 |
58e50e64efc6807b86e58a2ee032564035ca41f9 | 1,511 | py | Python | hwtLib/abstract/frame_utils/join/state_trans_info.py | Nic30/hwtLib | 52fd28023c4a25f64da17bb4d7c3089d5c7348f4 | [
"MIT"
] | 24 | 2017-02-23T10:00:50.000Z | 2022-01-28T12:20:21.000Z | hwtLib/abstract/frame_utils/join/state_trans_info.py | Nic30/hwtLib | 52fd28023c4a25f64da17bb4d7c3089d5c7348f4 | [
"MIT"
] | 32 | 2017-04-28T10:29:34.000Z | 2021-04-27T09:16:43.000Z | hwtLib/abstract/frame_utils/join/state_trans_info.py | Nic30/hwtLib | 52fd28023c4a25f64da17bb4d7c3089d5c7348f4 | [
"MIT"
] | 8 | 2019-09-19T03:34:36.000Z | 2022-01-21T06:56:58.000Z | from typing import Dict, Tuple, Optional, List
class StateTransInfo():
"""
:ivar ~.label: tuple(frame id, word id)
:ivar ~.outputs: list of tuples (input index, input time, input byte index)
:ivar ~.last_per_input: last flags for each input if last=1
the the input word is end of the actual frame
(None = don't care value)
"""
def __init__(self, label, word_bytes, input_cnt):
self.label = label
self.outputs: List[Optional[Tuple[int, int, int]]] = [None for _ in range(word_bytes)]
self.last_per_input: List[Optional[int]] = [None for _ in range(input_cnt)]
def get_state_i(self) -> int:
"""
:return: source state index for this state transition, min input index used when this state transition can happen
"""
return min([x[0] for x in self.outputs if x is not None])
def get_next_substate(self, sub_states: Dict[Tuple[int, int], "StateTransInfo"]) -> Optional["StateTransInfo"]:
return sub_states.get((self.label[0], self.label[1] + 1), None)
def __eq__(self, other):
return self.label == other.label
def set_output(self, out_B_i, in_i, time, in_B_i, B_from_last_input_word):
v = (in_i, time, in_B_i, B_from_last_input_word)
assert self.outputs[out_B_i] is None, (
self, out_B_i, self.outputs[out_B_i], v)
self.outputs[out_B_i] = v
def __repr__(self):
return f"<{self.__class__.__name__:s} {self.label:s} o:{self.outputs}>"
| 38.74359 | 121 | 0.647253 | 235 | 1,511 | 3.902128 | 0.32766 | 0.015267 | 0.027263 | 0.049073 | 0.154853 | 0.100327 | 0.06325 | 0.06325 | 0.06325 | 0.06325 | 0 | 0.00431 | 0.232296 | 1,511 | 38 | 122 | 39.763158 | 0.786207 | 0.244209 | 0 | 0 | 0 | 0.052632 | 0.081952 | 0.025783 | 0 | 0 | 0 | 0 | 0.052632 | 1 | 0.315789 | false | 0 | 0.052632 | 0.157895 | 0.631579 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
450d03eaaddfd4bc726e8564701c18dcb566c7ca | 255 | py | Python | rdmo/system_integration/admin.py | hkrock/rdmo | 80bbd3b5749f48a918e9aa4549a96479bf665b93 | [
"Apache-2.0"
] | null | null | null | rdmo/system_integration/admin.py | hkrock/rdmo | 80bbd3b5749f48a918e9aa4549a96479bf665b93 | [
"Apache-2.0"
] | null | null | null | rdmo/system_integration/admin.py | hkrock/rdmo | 80bbd3b5749f48a918e9aa4549a96479bf665b93 | [
"Apache-2.0"
] | null | null | null | from django.contrib import admin
# Register your models here.
from .models import Catalog2ExternalDatamodel
class cat2extAdmin(admin.ModelAdmin):
list_display = ('catalog', 'datamodel')
admin.site.register(Catalog2ExternalDatamodel, cat2extAdmin)
| 23.181818 | 60 | 0.803922 | 26 | 255 | 7.846154 | 0.692308 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017699 | 0.113725 | 255 | 10 | 61 | 25.5 | 0.884956 | 0.101961 | 0 | 0 | 0 | 0 | 0.070485 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.4 | 0 | 0.8 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
451bd739afa44d6a1d3b989db4d8349587cffb65 | 32 | py | Python | mi/dataset/driver/metbk_a/dcl/__init__.py | rmanoni/mi-dataset | c1012a0cd8f2ea075e008cdd1ab291ed54f44d43 | [
"BSD-2-Clause"
] | 1 | 2015-05-10T01:08:44.000Z | 2015-05-10T01:08:44.000Z | mi/dataset/driver/metbk_a/dcl/__init__.py | rmanoni/mi-dataset | c1012a0cd8f2ea075e008cdd1ab291ed54f44d43 | [
"BSD-2-Clause"
] | 33 | 2017-04-25T19:53:45.000Z | 2022-03-18T17:42:18.000Z | mi/dataset/driver/metbk_a/dcl/__init__.py | rmanoni/mi-dataset | c1012a0cd8f2ea075e008cdd1ab291ed54f44d43 | [
"BSD-2-Clause"
] | 31 | 2015-03-04T01:01:09.000Z | 2020-10-28T14:42:12.000Z | __author__ = 'Ronald Ronquillo'
| 16 | 31 | 0.78125 | 3 | 32 | 7 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.125 | 32 | 1 | 32 | 32 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
45272c7e669eb4be33e525ade7b1038eebc2884b | 73 | py | Python | flush-redis.py | marshyski/pydatadc-2016 | 752c8f547909bac6e20d7dcdacd1b0892afd3914 | [
"Apache-2.0"
] | 15 | 2016-10-09T14:51:37.000Z | 2019-05-21T15:04:58.000Z | flush-redis.py | marshyski/pydatadc-2016 | 752c8f547909bac6e20d7dcdacd1b0892afd3914 | [
"Apache-2.0"
] | 1 | 2017-07-17T16:18:20.000Z | 2019-01-18T11:37:18.000Z | flush-redis.py | marshyski/pydatadc-2016 | 752c8f547909bac6e20d7dcdacd1b0892afd3914 | [
"Apache-2.0"
] | 7 | 2016-10-09T14:51:43.000Z | 2022-01-28T20:23:46.000Z | import redis
db = redis.StrictRedis('localhost', 6379, 1)
db.flushall()
| 14.6 | 44 | 0.726027 | 10 | 73 | 5.3 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.078125 | 0.123288 | 73 | 4 | 45 | 18.25 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0.123288 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
188e87bd17292b6b1a30c44117134e3109be6475 | 913 | py | Python | test_server.py | TomerZeitune/submarines | c18415f8ec1694c83171aaf2d0e34dacdc32585c | [
"Apache-2.0"
] | null | null | null | test_server.py | TomerZeitune/submarines | c18415f8ec1694c83171aaf2d0e34dacdc32585c | [
"Apache-2.0"
] | null | null | null | test_server.py | TomerZeitune/submarines | c18415f8ec1694c83171aaf2d0e34dacdc32585c | [
"Apache-2.0"
] | null | null | null | from src.server.server import Server
from src.game.game import Game
from src.core.constants import SUB, SEA
def main():
table = [[SUB, SUB, SUB, SEA, SEA, SEA, SEA, SEA, SEA, SEA],
[SEA, SEA, SEA, SEA, SEA, SEA, SEA, SEA, SEA, SEA],
[SUB, SEA, SEA, SUB, SEA, SUB, SUB, SUB, SUB, SEA],
[SUB, SEA, SEA, SUB, SEA, SEA, SEA, SEA, SEA, SEA],
[SUB, SEA, SEA, SUB, SEA, SEA, SEA, SEA, SEA, SEA],
[SUB, SEA, SEA, SEA, SEA, SEA, SEA, SEA, SEA, SEA],
[SUB, SEA, SEA, SEA, SEA, SEA, SEA, SEA, SEA, SEA],
[SEA, SEA, SEA, SUB, SUB, SUB, SUB, SEA, SEA, SUB],
[SEA, SEA, SEA, SEA, SEA, SEA, SEA, SEA, SEA, SUB],
[SEA, SEA, SEA, SEA, SEA, SEA, SEA, SEA, SEA, SUB]]
server = Server(5555)
server.begin()
Game(server, table, True).play()
server.end()
if __name__ == "__main__":
main()
| 33.814815 | 64 | 0.526835 | 138 | 913 | 3.427536 | 0.137681 | 0.824524 | 1.027484 | 1.192389 | 0.634249 | 0.621564 | 0.58351 | 0.58351 | 0.58351 | 0.58351 | 0 | 0.006289 | 0.303395 | 913 | 26 | 65 | 35.115385 | 0.737421 | 0 | 0 | 0.2 | 0 | 0 | 0.008772 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.15 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
18980ec3bb7d9eab7917861f35b2a826f7fbd3e2 | 2,776 | py | Python | migrator/UCPAccess.py | reallyinsane/docker2artifactory | eb184982d65971c43f57a1a873fbeebf049799b4 | [
"Apache-2.0"
] | 27 | 2018-06-14T16:16:33.000Z | 2022-02-26T09:02:30.000Z | migrator/UCPAccess.py | reallyinsane/docker2artifactory | eb184982d65971c43f57a1a873fbeebf049799b4 | [
"Apache-2.0"
] | 14 | 2018-11-19T23:08:11.000Z | 2021-05-14T11:36:39.000Z | migrator/UCPAccess.py | reallyinsane/docker2artifactory | eb184982d65971c43f57a1a873fbeebf049799b4 | [
"Apache-2.0"
] | 15 | 2018-06-11T10:01:47.000Z | 2021-07-09T06:53:59.000Z | from DockerEEHTTPAccess import DockerEEHTTPAccess
import urllib
import logging
'''
Simple API for accessing UCP resources
Supports:
'''
class UCPAccess(DockerEEHTTPAccess):
def __init__(self, url, username=None, password=None, ignore_cert=False, exlog=False):
super(UCPAccess, self).__init__(url, username, password, ignore_cert, exlog)
self.log = logging.getLogger(__name__)
'''
Test connection with UCP
'''
def test_connection(self):
return bool(super(UCPAccess, self).get_call_wrapper('/id/'))
'''
Gets the list of all organizations
@return None if there was an error, else the a list of available organizations
'''
def get_organizations(self):
return super(UCPAccess, self).get_with_pagination('accounts/', 'accounts', 'name', self.__get_organizations_page_handler)
def __get_organizations_page_handler(self, result, page_results):
for account in page_results:
if account['isOrg'] == True:
result.append(account['name'])
'''
Gets the list of all users
@return None if there was an error, else the a list of available team of a given organization
'''
def get_users(self):
return super(UCPAccess, self).get_with_pagination('accounts/', 'accounts', 'name', self.__get_users_page_handler)
def __get_users_page_handler(self, result, page_results):
for account in page_results:
if account['isOrg'] == False and account['isActive'] == True:
result.append(account['name'])
'''
Get the list of all teams of a given organizations
@return None if there was an error, else the a list of available team of a given organization
'''
def get_teams(self, organization):
org_encoded = urllib.quote_plus(organization)
return super(UCPAccess, self).get_with_pagination("accounts/" + org_encoded + "/teams/", 'teams', 'name', self.__get_teams_page_handler)
def __get_teams_page_handler(self, result, page_results):
for team in page_results:
result.append(team['name'])
'''
Get the list of members of a given team
@return None if there was an error, else the a list of available members of a given team
'''
def get_members(self, organization, team):
org_encoded = urllib.quote_plus(organization)
team_encoded = urllib.quote_plus(team)
return super(UCPAccess, self).get_with_pagination("accounts/" + org_encoded + "/teams/" + team + "/members/", 'members', 'member.id', self.__get_members_page_handler)
def __get_members_page_handler(self, result, page_results):
for member in page_results:
result.append(member['member']['name'])
| 39.657143 | 174 | 0.675432 | 353 | 2,776 | 5.070822 | 0.215297 | 0.035196 | 0.060335 | 0.058659 | 0.582123 | 0.469274 | 0.427933 | 0.388827 | 0.388827 | 0.388827 | 0 | 0 | 0.223703 | 2,776 | 69 | 175 | 40.231884 | 0.830626 | 0 | 0 | 0.176471 | 0 | 0 | 0.074219 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.294118 | false | 0.058824 | 0.088235 | 0.088235 | 0.558824 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 |
18a65a9ae487e42679d7d964705c84cf62f6acfb | 241 | py | Python | tests/__init__.py | ktshen/transport-linebot | 22e285dd9a148835592dfca62b1ca80b531ed4dd | [
"MIT"
] | null | null | null | tests/__init__.py | ktshen/transport-linebot | 22e285dd9a148835592dfca62b1ca80b531ed4dd | [
"MIT"
] | null | null | null | tests/__init__.py | ktshen/transport-linebot | 22e285dd9a148835592dfca62b1ca80b531ed4dd | [
"MIT"
] | null | null | null | import os
from dotenv import load_dotenv
# Load envirnoment variables
dotenv_path = os.path.join(os.path.dirname(os.path.dirname(os.path.realpath(__file__))), '.env')
if os.path.exists(dotenv_path):
load_dotenv(dotenv_path=dotenv_path)
| 30.125 | 96 | 0.784232 | 38 | 241 | 4.710526 | 0.394737 | 0.167598 | 0.145251 | 0.167598 | 0.178771 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.091286 | 241 | 7 | 97 | 34.428571 | 0.817352 | 0.107884 | 0 | 0 | 0 | 0 | 0.018779 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.4 | 0 | 0.4 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
18f841e676d7442e36ddbd04e74ddf216581716d | 192 | py | Python | 2.4.py | mertcanaltin/python-final | 25257ed78cb460ff943724638f71135bf3ca2db4 | [
"MIT"
] | null | null | null | 2.4.py | mertcanaltin/python-final | 25257ed78cb460ff943724638f71135bf3ca2db4 | [
"MIT"
] | null | null | null | 2.4.py | mertcanaltin/python-final | 25257ed78cb460ff943724638f71135bf3ca2db4 | [
"MIT"
] | null | null | null | from math import *
d1 = []
d2 = []
d3 = []
for i in range (11):
d1 += [i**2]
for j in range (14,26):
d2 += [sqrt(j)]
for k in range (11):
d3 += [(d1[k],d2[k])]
print d3
| 12 | 24 | 0.453125 | 35 | 192 | 2.485714 | 0.514286 | 0.241379 | 0.206897 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.138462 | 0.322917 | 192 | 15 | 25 | 12.8 | 0.530769 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.090909 | null | null | 0.090909 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
18fb14498629438c68c53f3e784845f09713cfbd | 57 | py | Python | python/testData/inspections/PyUnusedLocalInspection/singleUnderscore.py | jnthn/intellij-community | 8fa7c8a3ace62400c838e0d5926a7be106aa8557 | [
"Apache-2.0"
] | 2 | 2019-04-28T07:48:50.000Z | 2020-12-11T14:18:08.000Z | python/testData/inspections/PyUnusedLocalInspection/singleUnderscore.py | Cyril-lamirand/intellij-community | 60ab6c61b82fc761dd68363eca7d9d69663cfa39 | [
"Apache-2.0"
] | 173 | 2018-07-05T13:59:39.000Z | 2018-08-09T01:12:03.000Z | python/testData/inspections/PyUnusedLocalInspection/singleUnderscore.py | Cyril-lamirand/intellij-community | 60ab6c61b82fc761dd68363eca7d9d69663cfa39 | [
"Apache-2.0"
] | 2 | 2020-03-15T08:57:37.000Z | 2020-04-07T04:48:14.000Z | def foo():
l = [42 for _ in xrange(100)]
print(l) | 19 | 33 | 0.526316 | 10 | 57 | 2.9 | 0.9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.125 | 0.298246 | 57 | 3 | 34 | 19 | 0.6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0 | 0.333333 | 0.333333 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
7a106907cb1692a85b7e7d5f52d930926c17dca8 | 752 | py | Python | kipi/checksum.py | hildogjr/kicad-getlibs | 67d073a2e451855ff8181e6cdd0c88de08add10e | [
"MIT"
] | 2 | 2018-04-05T20:05:22.000Z | 2018-07-08T23:40:42.000Z | kipi/checksum.py | hildogjr/kicad-getlibs | 67d073a2e451855ff8181e6cdd0c88de08add10e | [
"MIT"
] | 3 | 2018-04-05T19:27:56.000Z | 2019-06-26T19:18:08.000Z | kipi/checksum.py | hildogjr/kicad-getlibs | 67d073a2e451855ff8181e6cdd0c88de08add10e | [
"MIT"
] | 4 | 2018-04-05T17:56:36.000Z | 2019-06-26T18:04:18.000Z | import hashlib
def hash_bytestr_iter(bytesiter, hasher, ashexstr=False):
for block in bytesiter:
hasher.update(block)
return hasher.hexdigest() if ashexstr else hasher.digest()
def file_as_blockiter(afile, blocksize=65536):
with afile:
block = afile.read(blocksize)
while len(block) > 0:
yield block
block = afile.read(blocksize)
def get_md5_hash (fname):
return hash_bytestr_iter(file_as_blockiter(open(fname, 'rb')), hashlib.md5(), True)
def get_sha256_hash (fname):
return hash_bytestr_iter(file_as_blockiter(open(fname, 'rb')), hashlib.sha256(), True)
def get_sha256_hash_by_handle (fhandle):
return hash_bytestr_iter(file_as_blockiter(fhandle), hashlib.sha256(), True)
| 31.333333 | 90 | 0.714096 | 102 | 752 | 5.029412 | 0.401961 | 0.08577 | 0.116959 | 0.122807 | 0.385965 | 0.315789 | 0.315789 | 0.245614 | 0.245614 | 0.245614 | 0 | 0.032415 | 0.179521 | 752 | 23 | 91 | 32.695652 | 0.799028 | 0 | 0 | 0.117647 | 0 | 0 | 0.005319 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.294118 | false | 0 | 0.058824 | 0.176471 | 0.588235 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
7a17495789b3d6b0b8ad5f3fe40d25c16753943d | 284 | py | Python | examples/lexicon_learner/get_hubert_lookup_table.py | jonojace/fairseq | ce287a3ca25fb26e65ae4d12614bbf174371eaa9 | [
"MIT"
] | null | null | null | examples/lexicon_learner/get_hubert_lookup_table.py | jonojace/fairseq | ce287a3ca25fb26e65ae4d12614bbf174371eaa9 | [
"MIT"
] | null | null | null | examples/lexicon_learner/get_hubert_lookup_table.py | jonojace/fairseq | ce287a3ca25fb26e65ae4d12614bbf174371eaa9 | [
"MIT"
] | null | null | null | #from dan lyth
import joblib
kmeans_model_path = '../../fairseq/examples/textless_nlp/gslm/speech2unit/pretrained_models/hubert/km100/hubert_km100.bin'
kmeans_model = joblib.load(open(kmeans_model_path, "rb")) # this is just a sklearn model
centroids = kmeans_model.cluster_centers_
| 40.571429 | 122 | 0.809859 | 41 | 284 | 5.341463 | 0.731707 | 0.200913 | 0.136986 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02682 | 0.080986 | 284 | 6 | 123 | 47.333333 | 0.812261 | 0.147887 | 0 | 0 | 0 | 0 | 0.425 | 0.416667 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
e1313a7271455914ef157d05dcdeea3dcdb8507f | 119 | py | Python | ldapkg/__init__.py | MSSfusiqi/LDA | e23e5682e4a5d51f01f36e225d305b6645f88568 | [
"MIT"
] | 1 | 2021-11-19T03:40:29.000Z | 2021-11-19T03:40:29.000Z | ldapkg/__init__.py | MSSfusiqi/LDA | e23e5682e4a5d51f01f36e225d305b6645f88568 | [
"MIT"
] | null | null | null | ldapkg/__init__.py | MSSfusiqi/LDA | e23e5682e4a5d51f01f36e225d305b6645f88568 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Apr 29 16:51:16 2019
@author: linyizi
"""
| 8.5 | 35 | 0.554622 | 18 | 119 | 3.666667 | 0.944444 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.155556 | 0.243697 | 119 | 13 | 36 | 9.153846 | 0.577778 | 0.815126 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
e1468d99ac818a6e67f218ca7a52aea9dae60a7e | 3,040 | py | Python | source/pkgsrc/lang/python27/patches/patch-Lib_ctypes_test_test__parameters.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 1 | 2021-11-20T22:46:39.000Z | 2021-11-20T22:46:39.000Z | source/pkgsrc/lang/python27/patches/patch-Lib_ctypes_test_test__parameters.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | null | null | null | source/pkgsrc/lang/python27/patches/patch-Lib_ctypes_test_test__parameters.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | null | null | null | $NetBSD: patch-Lib_ctypes_test_test__parameters.py,v 1.1.2.2 2021/10/13 21:04:01 tm Exp $
Fix CVE-2021-3177: Replace snprintf with Python unicode formatting in ctypes param reprs
Via Fedora:
https://src.fedoraproject.org/rpms/python2.7/blob/rawhide/f/00357-CVE-2021-3177.patch
--- Lib/ctypes/test/test_parameters.py.orig 2020-04-19 21:13:39.000000000 +0000
+++ Lib/ctypes/test/test_parameters.py
@@ -206,6 +206,49 @@ class SimpleTypesTestCase(unittest.TestC
with self.assertRaises(ZeroDivisionError):
WorseStruct().__setstate__({}, b'foo')
+ def test_parameter_repr(self):
+ from ctypes import (
+ c_bool,
+ c_char,
+ c_wchar,
+ c_byte,
+ c_ubyte,
+ c_short,
+ c_ushort,
+ c_int,
+ c_uint,
+ c_long,
+ c_ulong,
+ c_longlong,
+ c_ulonglong,
+ c_float,
+ c_double,
+ c_longdouble,
+ c_char_p,
+ c_wchar_p,
+ c_void_p,
+ )
+ self.assertRegexpMatches(repr(c_bool.from_param(True)), r"^<cparam '\?' at 0x[A-Fa-f0-9]+>$")
+ self.assertEqual(repr(c_char.from_param('a')), "<cparam 'c' ('a')>")
+ self.assertRegexpMatches(repr(c_wchar.from_param('a')), r"^<cparam 'u' at 0x[A-Fa-f0-9]+>$")
+ self.assertEqual(repr(c_byte.from_param(98)), "<cparam 'b' (98)>")
+ self.assertEqual(repr(c_ubyte.from_param(98)), "<cparam 'B' (98)>")
+ self.assertEqual(repr(c_short.from_param(511)), "<cparam 'h' (511)>")
+ self.assertEqual(repr(c_ushort.from_param(511)), "<cparam 'H' (511)>")
+ self.assertRegexpMatches(repr(c_int.from_param(20000)), r"^<cparam '[li]' \(20000\)>$")
+ self.assertRegexpMatches(repr(c_uint.from_param(20000)), r"^<cparam '[LI]' \(20000\)>$")
+ self.assertRegexpMatches(repr(c_long.from_param(20000)), r"^<cparam '[li]' \(20000\)>$")
+ self.assertRegexpMatches(repr(c_ulong.from_param(20000)), r"^<cparam '[LI]' \(20000\)>$")
+ self.assertRegexpMatches(repr(c_longlong.from_param(20000)), r"^<cparam '[liq]' \(20000\)>$")
+ self.assertRegexpMatches(repr(c_ulonglong.from_param(20000)), r"^<cparam '[LIQ]' \(20000\)>$")
+ self.assertEqual(repr(c_float.from_param(1.5)), "<cparam 'f' (1.5)>")
+ self.assertEqual(repr(c_double.from_param(1.5)), "<cparam 'd' (1.5)>")
+ self.assertEqual(repr(c_double.from_param(1e300)), "<cparam 'd' (1e+300)>")
+ self.assertRegexpMatches(repr(c_longdouble.from_param(1.5)), r"^<cparam ('d' \(1.5\)|'g' at 0x[A-Fa-f0-9]+)>$")
+ self.assertRegexpMatches(repr(c_char_p.from_param(b'hihi')), "^<cparam 'z' \(0x[A-Fa-f0-9]+\)>$")
+ self.assertRegexpMatches(repr(c_wchar_p.from_param('hihi')), "^<cparam 'Z' \(0x[A-Fa-f0-9]+\)>$")
+ self.assertRegexpMatches(repr(c_void_p.from_param(0x12)), r"^<cparam 'P' \(0x0*12\)>$")
+
################################################################
if __name__ == '__main__':
| 51.525424 | 120 | 0.587171 | 407 | 3,040 | 4.174447 | 0.292383 | 0.058858 | 0.1907 | 0.197763 | 0.513243 | 0.462036 | 0.444968 | 0.373161 | 0.334314 | 0.26957 | 0 | 0.081357 | 0.195395 | 3,040 | 58 | 121 | 52.413793 | 0.613246 | 0 | 0 | 0 | 0 | 0.018868 | 0.178763 | 0 | 0 | 0 | 0.002352 | 0 | 0.396226 | 0 | null | null | 0 | 0.018868 | null | null | 0.018868 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
e16eb74e271113e181d2e95523f7b87dae1ca729 | 511 | py | Python | pyopenproject/business/previewing_service.py | webu/pyopenproject | 40b2cb9fe0fa3f89bc0fe2a3be323422d9ecf966 | [
"MIT"
] | 5 | 2021-02-25T15:54:28.000Z | 2021-04-22T15:43:36.000Z | pyopenproject/business/previewing_service.py | webu/pyopenproject | 40b2cb9fe0fa3f89bc0fe2a3be323422d9ecf966 | [
"MIT"
] | 7 | 2021-03-15T16:26:23.000Z | 2022-03-16T13:45:18.000Z | pyopenproject/business/previewing_service.py | webu/pyopenproject | 40b2cb9fe0fa3f89bc0fe2a3be323422d9ecf966 | [
"MIT"
] | 6 | 2021-06-18T18:59:11.000Z | 2022-03-27T04:58:52.000Z | from abc import ABCMeta, abstractmethod
from pyopenproject.business.abstract_service import AbstractService
class PreviewingService(AbstractService):
"""
Class PreviewingService,
service for previewing endpoint
"""
__metaclass__ = ABCMeta
def __init__(self, connection):
super().__init__(connection)
@abstractmethod
def from_markdown(self, text, context=None): raise NotImplementedError
@abstractmethod
def from_plain(self, text): raise NotImplementedError
| 24.333333 | 74 | 0.749511 | 48 | 511 | 7.666667 | 0.583333 | 0.108696 | 0.201087 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.181996 | 511 | 20 | 75 | 25.55 | 0.880383 | 0.109589 | 0 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.3 | false | 0 | 0.2 | 0 | 0.7 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
e17019d523feb69235892aaaf0b612b24589ea3c | 158 | py | Python | mysite/users/router.py | 2021fallCMPUT404/group-cmput404-project | 985b76dc6c554caf77e7cf5788355cca22a26e74 | [
"Apache-2.0"
] | 2 | 2021-12-06T06:42:41.000Z | 2022-03-29T21:40:14.000Z | mysite/users/router.py | 2021fallCMPUT404/group-cmput404-project | 985b76dc6c554caf77e7cf5788355cca22a26e74 | [
"Apache-2.0"
] | 7 | 2021-10-29T20:31:44.000Z | 2021-12-05T06:55:58.000Z | mysite/users/router.py | 2021fallCMPUT404/group-cmput404-project | 985b76dc6c554caf77e7cf5788355cca22a26e74 | [
"Apache-2.0"
] | null | null | null |
from . import userviewsets
from rest_framework import routers
router = routers.DefaultRouter()
router.register('user', userviewsets, base_name ='user_api') | 26.333333 | 60 | 0.797468 | 19 | 158 | 6.473684 | 0.684211 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.107595 | 158 | 6 | 60 | 26.333333 | 0.87234 | 0 | 0 | 0 | 0 | 0 | 0.075949 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
e1799e9361652655eaf0bc3c23fc3cb3a66c1f66 | 5,747 | py | Python | build/ARM/python/m5/internal/param_RubyCache.py | Jakgn/gem5_test | 0ba7cc5213cf513cf205af7fc995cf679ebc1a3f | [
"BSD-3-Clause"
] | null | null | null | build/ARM/python/m5/internal/param_RubyCache.py | Jakgn/gem5_test | 0ba7cc5213cf513cf205af7fc995cf679ebc1a3f | [
"BSD-3-Clause"
] | null | null | null | build/ARM/python/m5/internal/param_RubyCache.py | Jakgn/gem5_test | 0ba7cc5213cf513cf205af7fc995cf679ebc1a3f | [
"BSD-3-Clause"
] | null | null | null | # This file was automatically generated by SWIG (http://www.swig.org).
# Version 2.0.11
#
# Do not make changes to this file unless you know what you are doing--modify
# the SWIG interface file instead.
from sys import version_info
if version_info >= (2,6,0):
def swig_import_helper():
from os.path import dirname
import imp
fp = None
try:
fp, pathname, description = imp.find_module('_param_RubyCache', [dirname(__file__)])
except ImportError:
import _param_RubyCache
return _param_RubyCache
if fp is not None:
try:
_mod = imp.load_module('_param_RubyCache', fp, pathname, description)
finally:
fp.close()
return _mod
_param_RubyCache = swig_import_helper()
del swig_import_helper
else:
import _param_RubyCache
del version_info
try:
_swig_property = property
except NameError:
pass # Python < 2.2 doesn't have 'property'.
def _swig_setattr_nondynamic(self,class_type,name,value,static=1):
if (name == "thisown"): return self.this.own(value)
if (name == "this"):
if type(value).__name__ == 'SwigPyObject':
self.__dict__[name] = value
return
method = class_type.__swig_setmethods__.get(name,None)
if method: return method(self,value)
if (not static):
self.__dict__[name] = value
else:
raise AttributeError("You cannot add attributes to %s" % self)
def _swig_setattr(self,class_type,name,value):
return _swig_setattr_nondynamic(self,class_type,name,value,0)
def _swig_getattr(self,class_type,name):
if (name == "thisown"): return self.this.own()
method = class_type.__swig_getmethods__.get(name,None)
if method: return method(self)
raise AttributeError(name)
def _swig_repr(self):
try: strthis = "proxy of " + self.this.__repr__()
except: strthis = ""
return "<%s.%s; %s >" % (self.__class__.__module__, self.__class__.__name__, strthis,)
try:
_object = object
_newclass = 1
except AttributeError:
class _object : pass
_newclass = 0
def _swig_setattr_nondynamic_method(set):
def set_attr(self,name,value):
if (name == "thisown"): return self.this.own(value)
if hasattr(self,name) or (name == "this"):
set(self,name,value)
else:
raise AttributeError("You cannot add attributes to %s" % self)
return set_attr
import m5.internal.param_ReplacementPolicy
import m5.internal.param_SimObject
import m5.internal.drain
import m5.internal.serialize
import m5.internal.param_RubySystem
import m5.internal.param_SimpleMemory
import m5.internal.param_AbstractMemory
import m5.internal.param_MemObject
import m5.internal.param_ClockedObject
import m5.internal.param_ClockDomain
import m5.internal.enum_PwrState
import m5.internal.param_PowerModel
import m5.internal.PowerModelState_vector
import m5.internal.param_PowerModelState
import m5.internal.param_SubSystem
import m5.internal.param_ThermalDomain
class CacheMemory(m5.internal.param_SimObject.SimObject):
thisown = _swig_property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc='The membership flag')
def __init__(self, *args, **kwargs): raise AttributeError("No constructor defined - class is abstract")
__repr__ = _swig_repr
CacheMemory_swigregister = _param_RubyCache.CacheMemory_swigregister
CacheMemory_swigregister(CacheMemory)
class RubyCacheParams(m5.internal.param_SimObject.SimObjectParams):
thisown = _swig_property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc='The membership flag')
__repr__ = _swig_repr
def create(self): return _param_RubyCache.RubyCacheParams_create(self)
assoc = _swig_property(_param_RubyCache.RubyCacheParams_assoc_get, _param_RubyCache.RubyCacheParams_assoc_set)
block_size = _swig_property(_param_RubyCache.RubyCacheParams_block_size_get, _param_RubyCache.RubyCacheParams_block_size_set)
dataAccessLatency = _swig_property(_param_RubyCache.RubyCacheParams_dataAccessLatency_get, _param_RubyCache.RubyCacheParams_dataAccessLatency_set)
dataArrayBanks = _swig_property(_param_RubyCache.RubyCacheParams_dataArrayBanks_get, _param_RubyCache.RubyCacheParams_dataArrayBanks_set)
is_icache = _swig_property(_param_RubyCache.RubyCacheParams_is_icache_get, _param_RubyCache.RubyCacheParams_is_icache_set)
replacement_policy = _swig_property(_param_RubyCache.RubyCacheParams_replacement_policy_get, _param_RubyCache.RubyCacheParams_replacement_policy_set)
resourceStalls = _swig_property(_param_RubyCache.RubyCacheParams_resourceStalls_get, _param_RubyCache.RubyCacheParams_resourceStalls_set)
ruby_system = _swig_property(_param_RubyCache.RubyCacheParams_ruby_system_get, _param_RubyCache.RubyCacheParams_ruby_system_set)
size = _swig_property(_param_RubyCache.RubyCacheParams_size_get, _param_RubyCache.RubyCacheParams_size_set)
start_index_bit = _swig_property(_param_RubyCache.RubyCacheParams_start_index_bit_get, _param_RubyCache.RubyCacheParams_start_index_bit_set)
tagAccessLatency = _swig_property(_param_RubyCache.RubyCacheParams_tagAccessLatency_get, _param_RubyCache.RubyCacheParams_tagAccessLatency_set)
tagArrayBanks = _swig_property(_param_RubyCache.RubyCacheParams_tagArrayBanks_get, _param_RubyCache.RubyCacheParams_tagArrayBanks_set)
def __init__(self):
this = _param_RubyCache.new_RubyCacheParams()
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _param_RubyCache.delete_RubyCacheParams
__del__ = lambda self : None;
RubyCacheParams_swigregister = _param_RubyCache.RubyCacheParams_swigregister
RubyCacheParams_swigregister(RubyCacheParams)
| 43.537879 | 153 | 0.768227 | 696 | 5,747 | 5.902299 | 0.227011 | 0.119279 | 0.183544 | 0.061344 | 0.327167 | 0.169912 | 0.127556 | 0.120253 | 0.082278 | 0.064265 | 0 | 0.00636 | 0.151905 | 5,747 | 131 | 154 | 43.870229 | 0.836479 | 0.040021 | 0 | 0.174312 | 1 | 0 | 0.042855 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.091743 | false | 0.018349 | 0.229358 | 0.018349 | 0.568807 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
e183a7415b7112304f8241876902f1dcf0f31a54 | 1,559 | py | Python | fixture/signup.py | Sorail/python_training_mantis | 45e1843c4cf7a2585c12d945e5c9bd305d7de20c | [
"MIT"
] | null | null | null | fixture/signup.py | Sorail/python_training_mantis | 45e1843c4cf7a2585c12d945e5c9bd305d7de20c | [
"MIT"
] | null | null | null | fixture/signup.py | Sorail/python_training_mantis | 45e1843c4cf7a2585c12d945e5c9bd305d7de20c | [
"MIT"
] | null | null | null | import re
import quopri
class SignupHelper:
def __init__(self, app):
self.app = app
def new_user(self, username, email, password):
wd = self.app.wd
wd.get(self.app.config['web']['baseUrl'] + "/signup_page.php")
wd.find_element_by_name("username").click()
wd.find_element_by_name("username").clear()
wd.find_element_by_name("username").send_keys(username)
wd.find_element_by_name("email").click()
wd.find_element_by_name("email").clear()
wd.find_element_by_name("email").send_keys(email)
wd.find_element_by_xpath("//input[@type='submit']").click()
mail = self.app.mail.get_mail(username, password, '[MantisBT] Account registration')
url = self.extract_confirmation_url(mail)
wd.get(url)
wd.find_element_by_name("realname").click()
wd.find_element_by_name("realname").clear()
wd.find_element_by_name("realname").send_keys(username)
wd.find_element_by_name("password").click()
wd.find_element_by_name("password").clear()
wd.find_element_by_name("password").send_keys(password)
wd.find_element_by_name("password_confirm").click()
wd.find_element_by_name("password_confirm").clear()
wd.find_element_by_name("password_confirm").send_keys(password)
wd.find_element_by_xpath("//button[@type='submit']").click()
def extract_confirmation_url(self, text):
body = quopri.decodestring(text).decode('utf-8')
return re.search("http://.*", body).group(0)
| 38.975 | 92 | 0.670943 | 210 | 1,559 | 4.647619 | 0.261905 | 0.104508 | 0.226434 | 0.26127 | 0.585041 | 0.559426 | 0.300205 | 0.071721 | 0 | 0 | 0 | 0.001564 | 0.179602 | 1,559 | 39 | 93 | 39.974359 | 0.761532 | 0 | 0 | 0 | 0 | 0 | 0.162284 | 0.030148 | 0 | 0 | 0 | 0 | 0 | 1 | 0.096774 | false | 0.258065 | 0.064516 | 0 | 0.225806 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
e184ddb7a473b6b8f017e54ede29da58c774a841 | 727 | py | Python | Python3/0036-Valid-Sudoku/soln-2.py | wyaadarsh/LeetCode-Solutions | 3719f5cb059eefd66b83eb8ae990652f4b7fd124 | [
"MIT"
] | 5 | 2020-07-24T17:48:59.000Z | 2020-12-21T05:56:00.000Z | Python3/0036-Valid-Sudoku/soln-2.py | zhangyaqi1989/LeetCode-Solutions | 2655a1ffc8678ad1de6c24295071308a18c5dc6e | [
"MIT"
] | null | null | null | Python3/0036-Valid-Sudoku/soln-2.py | zhangyaqi1989/LeetCode-Solutions | 2655a1ffc8678ad1de6c24295071308a18c5dc6e | [
"MIT"
] | 2 | 2020-07-24T17:49:01.000Z | 2020-08-31T19:57:35.000Z | class Solution:
def isValidSudoku(self, board):
"""
:type board: List[List[str]]
:rtype: bool
"""
def valid(sub):
nums = [item for item in sub if item.isdigit()]
return len(set(nums)) == len(nums)
def check_row():
return all(valid(row) for row in board)
def check_col():
return all(valid(col) for col in zip(*board))
def check_sub():
return all(valid([board[r + dr][c + dc]
for dr in range(3) for dc in range(3)])
for r, c in itertools.product((0, 3, 6), repeat=2))
return check_row() and check_col() and check_sub() | 34.619048 | 75 | 0.489684 | 95 | 727 | 3.684211 | 0.421053 | 0.068571 | 0.12 | 0.062857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013514 | 0.389271 | 727 | 21 | 76 | 34.619048 | 0.774775 | 0.056396 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.357143 | false | 0 | 0 | 0.214286 | 0.785714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
e18907b6c62867758856da35f47ec15db42e5c92 | 1,233 | py | Python | src/python/zquantum/core/circuits/symbolic/translations.py | alexjuda2/z-quantum-core | c258100dbd091f0b22495b77b36399426ae9abac | [
"Apache-2.0"
] | 24 | 2020-04-15T17:36:59.000Z | 2022-01-25T05:02:14.000Z | src/python/zquantum/core/circuits/symbolic/translations.py | alexjuda2/z-quantum-core | c258100dbd091f0b22495b77b36399426ae9abac | [
"Apache-2.0"
] | 177 | 2020-04-23T15:19:59.000Z | 2022-03-30T18:06:17.000Z | src/python/zquantum/core/circuits/symbolic/translations.py | alexjuda2/z-quantum-core | c258100dbd091f0b22495b77b36399426ae9abac | [
"Apache-2.0"
] | 19 | 2020-06-24T10:56:02.000Z | 2021-09-30T13:02:21.000Z | """Utilities related to translation of symbolic expressions."""
from functools import singledispatch
from numbers import Number
from typing import Iterable, Tuple, Union
from .expressions import Expression, ExpressionDialect, FunctionCall, Symbol
@singledispatch
def translate_expression(
expression: Union[Expression, Tuple[Expression, ...]], dialect: ExpressionDialect
):
pass
@translate_expression.register
def translate_number(number: Number, dialect: ExpressionDialect):
return dialect.number_factory(number)
@translate_expression.register
def translate_symbol(symbol: Symbol, dialect: ExpressionDialect):
return dialect.symbol_factory(symbol)
@translate_expression.register
def translate_function_call(function_call: FunctionCall, dialect: ExpressionDialect):
if function_call.name not in dialect.known_functions:
raise ValueError(f"Function {function_call.name} is unknown in this dialect.")
return dialect.known_functions[function_call.name](
*translate_tuple(function_call.args, dialect)
)
def translate_tuple(expression_tuple: Iterable[Expression], dialect: ExpressionDialect):
return tuple(translate_expression(element, dialect) for element in expression_tuple)
| 32.447368 | 88 | 0.801298 | 136 | 1,233 | 7.102941 | 0.330882 | 0.074534 | 0.083851 | 0.093168 | 0.121118 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.122466 | 1,233 | 37 | 89 | 33.324324 | 0.892791 | 0.046229 | 0 | 0.125 | 0 | 0 | 0.048718 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.208333 | false | 0.041667 | 0.166667 | 0.125 | 0.541667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
e19378cb98560578fdc69fe5ee4a62131dacdd8e | 751 | py | Python | simple_hash_list.py | ftsmchl/hash_pointers_example | 9219cc1e4a10286003f0ca2248f931045dc3a72b | [
"MIT"
] | null | null | null | simple_hash_list.py | ftsmchl/hash_pointers_example | 9219cc1e4a10286003f0ca2248f931045dc3a72b | [
"MIT"
] | null | null | null | simple_hash_list.py | ftsmchl/hash_pointers_example | 9219cc1e4a10286003f0ca2248f931045dc3a72b | [
"MIT"
] | null | null | null | #!/usr/bin/python
import hashlib
class ListNode:
def __init__(self, name):
self.list = []
self.name = name
def __str__(self):
return str(map(str, self.list))
def __repr__(self):
return str(self)
def __len__(self):
return len(self.list)
def _hash(self, s):
return hashlib.sha256(s).hexdigest()
def append(self, msg):
if len(self) == 0:
p = ""
else:
p = self._hash(str(self.list[-1]))
n = Node(msg, p)
self.list.append(n)
class Node:
def __init__(self, msg, prev):
self.msg = str(msg)
self.prev = prev
def __str__(self):
return "(%s, %s)" % (self.msg, self.prev)
| 19.25641 | 49 | 0.51265 | 96 | 751 | 3.739583 | 0.322917 | 0.111421 | 0.061281 | 0.089136 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010204 | 0.347537 | 751 | 38 | 50 | 19.763158 | 0.722449 | 0.021305 | 0 | 0.076923 | 0 | 0 | 0.010899 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.307692 | false | 0 | 0.038462 | 0.192308 | 0.615385 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
e1a595bfee0149e3eeae133eef740b48588517fd | 939 | py | Python | Examples/EQ/compare_chebyshev.py | apohl79/AudioTK | 05ac241b0bc6a8f841d93257b4d81e5961b1f627 | [
"BSD-3-Clause"
] | 10 | 2018-05-17T15:29:05.000Z | 2021-12-19T22:26:08.000Z | Examples/EQ/compare_chebyshev.py | apohl79/AudioTK | 05ac241b0bc6a8f841d93257b4d81e5961b1f627 | [
"BSD-3-Clause"
] | null | null | null | Examples/EQ/compare_chebyshev.py | apohl79/AudioTK | 05ac241b0bc6a8f841d93257b4d81e5961b1f627 | [
"BSD-3-Clause"
] | 2 | 2020-04-21T13:43:57.000Z | 2020-04-28T19:10:14.000Z | #!/usr/bin/env python
from scipy import signal
import numpy as np
import matplotlib.pyplot as plt
b, a = signal.cheby2(5, 3, (200./24000, 1000./24000), btype="bandstop")
print b, a
myb = (0.970480608569324, -9.674889407346342, 43.43258097823774, -115.6217271672294, 202.12989516929048, -242.47268036304317, 202.12989516929048, -115.62172716722938, 43.43258097823773, -9.674889407346342, 0.9704806085693239)
mya = (-0.9418326116090838, 9.445529769182228, -42.657169682139696, 114.23899007770811, -200.91212825428292, 242.46055315510847, -203.33552044319293, 117.01137758064448, -44.21926252097025, 9.909462929551104, -1 )[::-1]
origbutter = signal.freqz(b, a)
mybutter = signal.freqz(myb, mya)
fig = plt.figure()
plt.title('Digital filter frequency response')
ax1 = fig.add_subplot(111)
plt.loglog(origbutter[0] / np.pi * 24000, np.abs(origbutter[1]), 'b')
plt.loglog(mybutter[0] / np.pi * 24000, np.abs(mybutter[1]), 'g')
plt.show()
| 40.826087 | 225 | 0.745474 | 128 | 939 | 5.460938 | 0.601563 | 0.008584 | 0.014306 | 0.028612 | 0.042918 | 0.042918 | 0 | 0 | 0 | 0 | 0 | 0.457547 | 0.096912 | 939 | 22 | 226 | 42.681818 | 0.366745 | 0.021299 | 0 | 0 | 0 | 0 | 0.046841 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.2 | null | null | 0.066667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
e1b7ce140799842f0e9876b00a4e50608d6cc803 | 410 | py | Python | alphatwirl/nanoaod/Component.py | benkrikler/alphatwirl | cda7d12fec21291ea33af23234fc08be19430934 | [
"BSD-3-Clause"
] | null | null | null | alphatwirl/nanoaod/Component.py | benkrikler/alphatwirl | cda7d12fec21291ea33af23234fc08be19430934 | [
"BSD-3-Clause"
] | 7 | 2018-02-26T10:32:26.000Z | 2018-03-19T12:27:12.000Z | alphatwirl/nanoaod/Component.py | benkrikler/alphatwirl | cda7d12fec21291ea33af23234fc08be19430934 | [
"BSD-3-Clause"
] | null | null | null | ##__________________________________________________________________||
import collections
##__________________________________________________________________||
# NamedTuple for each row in the component dataframe
Component = collections.namedtuple(
'Component',
'name eventtype dataset era nevents nfiles cross_section files'
)
##__________________________________________________________________||
| 34.166667 | 70 | 0.856098 | 23 | 410 | 6.608696 | 0.826087 | 0.276316 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.090244 | 410 | 11 | 71 | 37.272727 | 0.407507 | 0.621951 | 0 | 0 | 0 | 0 | 0.472973 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
e1d0d74e64f4061117fcd3bf365823e248f9e74a | 1,828 | py | Python | blueapps/middleware/xss/decorators.py | jin-cc/bastion-test | 9feecbe927e5446213ab25b4da4a5eca23cf6bae | [
"Apache-2.0"
] | 42 | 2021-06-16T12:06:03.000Z | 2022-03-29T13:18:00.000Z | blueapps/middleware/xss/decorators.py | jin-cc/bastion-test | 9feecbe927e5446213ab25b4da4a5eca23cf6bae | [
"Apache-2.0"
] | 2 | 2021-02-08T20:50:31.000Z | 2021-06-10T23:01:54.000Z | blueapps/middleware/xss/decorators.py | wangzishuo111/bk_prometheus | c6aa16d8a547a3d00fbca317f6846ad35b1297ea | [
"MIT"
] | 16 | 2021-07-13T01:17:57.000Z | 2022-03-01T12:39:32.000Z | # -*- coding: utf-8 -*-
from django.utils.decorators import available_attrs
try:
from functools import wraps
except ImportError:
from django.utils.functional import wraps # Python 2.4 fallback.
# ===============================================================================
# 转义装饰器
# ===============================================================================
def escape_exempt(view_func):
"""
转义豁免，被此装饰器修饰的action可以不进行中间件escape
"""
def wrapped_view(*args, **kwargs):
return view_func(*args, **kwargs)
wrapped_view.escape_exempt = True
return wraps(view_func, assigned=available_attrs(view_func))(wrapped_view)
def escape_script(view_func):
"""
被此装饰器修饰的action会对GET与POST参数进行javascript escape
"""
def wrapped_view(*args, **kwargs):
return view_func(*args, **kwargs)
wrapped_view.escape_script = True
return wraps(view_func, assigned=available_attrs(view_func))(wrapped_view)
def escape_url(view_func):
"""
被此装饰器修饰的action会对GET与POST参数进行url escape
"""
def wrapped_view(*args, **kwargs):
return view_func(*args, **kwargs)
wrapped_view.escape_url = True
return wraps(view_func, assigned=available_attrs(view_func))(wrapped_view)
def escape_exempt_param(*param_list, **param_list_dict):
"""
此装饰器用来豁免某个view函数的某个参数
@param param_list: 参数列表
@return:
"""
def _escape_exempt_param(view_func):
def wrapped_view(*args, **kwargs):
return view_func(*args, **kwargs)
if param_list_dict.get('param_list'):
wrapped_view.escape_exempt_param = param_list_dict['param_list']
else:
wrapped_view.escape_exempt_param = list(param_list)
return wraps(view_func, assigned=available_attrs(view_func))(wrapped_view)
return _escape_exempt_param
| 30.983051 | 82 | 0.63895 | 199 | 1,828 | 5.552764 | 0.231156 | 0.115837 | 0.076923 | 0.065158 | 0.560181 | 0.483258 | 0.483258 | 0.483258 | 0.483258 | 0.483258 | 0 | 0.001997 | 0.178337 | 1,828 | 58 | 83 | 31.517241 | 0.733688 | 0.209519 | 0 | 0.4 | 0 | 0 | 0.014577 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.3 | false | 0 | 0.133333 | 0.133333 | 0.733333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
bed49e65c6596e2759173f0239db2f5b671a5efc | 202 | py | Python | herd/herd.py | AmirRanos/TripleSeven-Cogs | 2b7a37b59fb8e82c85b9d8d44aadc8efcf2bfe8f | [
"MIT"
] | null | null | null | herd/herd.py | AmirRanos/TripleSeven-Cogs | 2b7a37b59fb8e82c85b9d8d44aadc8efcf2bfe8f | [
"MIT"
] | null | null | null | herd/herd.py | AmirRanos/TripleSeven-Cogs | 2b7a37b59fb8e82c85b9d8d44aadc8efcf2bfe8f | [
"MIT"
] | null | null | null | from redbot.core import commands
class Herd(commands.Cog):
"""Move people to a different channel."""
@commands.command()
async def herd(self, ctx):
await ctx.send("Hello world.")
| 20.2 | 45 | 0.658416 | 27 | 202 | 4.925926 | 0.851852 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.212871 | 202 | 9 | 46 | 22.444444 | 0.836478 | 0.173267 | 0 | 0 | 0 | 0 | 0.074534 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.2 | 0 | 0.4 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
beeb389094030d0a585c42bc0a8ebeb619d5473d | 61 | py | Python | aioclustermanager/tests/conftest.py | sunbit/aioclustermanager | f5a2f4ba7936a75c7748cff9f77c3bfff1a3a61d | [
"BSD-3-Clause"
] | 1 | 2020-03-24T16:15:56.000Z | 2020-03-24T16:15:56.000Z | aioclustermanager/tests/conftest.py | bloodbare/aioclustermanager | 9abe7e9db7140854709c8044128e0153debe6971 | [
"BSD-3-Clause"
] | 8 | 2018-03-12T20:40:23.000Z | 2018-06-05T18:35:16.000Z | aioclustermanager/tests/conftest.py | onna/aioclustermanager | 9abe7e9db7140854709c8044128e0153debe6971 | [
"BSD-3-Clause"
] | 2 | 2020-05-21T17:32:23.000Z | 2021-05-11T12:17:56.000Z |
pytest_plugins = [
'aioclustermanager.tests.fixtures'
]
| 12.2 | 38 | 0.721311 | 5 | 61 | 8.6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.163934 | 61 | 4 | 39 | 15.25 | 0.843137 | 0 | 0 | 0 | 0 | 0 | 0.533333 | 0.533333 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
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