hexsha stringlengths 40 40 | size int64 6 1.04M | ext stringclasses 10
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 4 247 | max_stars_repo_name stringlengths 4 130 | max_stars_repo_head_hexsha stringlengths 40 78 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 368k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 4 247 | max_issues_repo_name stringlengths 4 130 | max_issues_repo_head_hexsha stringlengths 40 78 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 116k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 4 247 | max_forks_repo_name stringlengths 4 130 | max_forks_repo_head_hexsha stringlengths 40 78 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 105k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 1 1.04M | avg_line_length float64 1.53 618k | max_line_length int64 1 1.02M | alphanum_fraction float64 0 1 | original_content stringlengths 6 1.04M | filtered:remove_non_ascii int64 0 538k | filtered:remove_decorators int64 0 917k | filtered:remove_async int64 0 722k | filtered:remove_classes int64 -45 1M | filtered:remove_generators int64 0 814k | filtered:remove_function_no_docstring int64 -102 850k | filtered:remove_class_no_docstring int64 -3 5.46k | filtered:remove_unused_imports int64 -1,350 52.4k | filtered:remove_delete_markers int64 0 59.6k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
f112c3c7f3993e3a6456b203d747ff3176963dc6 | 1,366 | py | Python | webroot/python/goldXp.py | peemoRoyal/dotadude | a90faee23a6ce7755d0c7266f1dcdb46816a8d6d | [
"MIT"
] | null | null | null | webroot/python/goldXp.py | peemoRoyal/dotadude | a90faee23a6ce7755d0c7266f1dcdb46816a8d6d | [
"MIT"
] | null | null | null | webroot/python/goldXp.py | peemoRoyal/dotadude | a90faee23a6ce7755d0c7266f1dcdb46816a8d6d | [
"MIT"
] | null | null | null | #!/usr/bin/python2.4
# Small script to show PostgreSQL and Pyscopg together
#
import json
import psycopg2
import sys
match_id = sys.argv[1]
match_id = 2125002095
conn = psycopg2.connect("dbname='postgres' user='petergleixner' host='localhost' password=''")
cursor = conn.cursor()
cursor.execute('''SELECT replay_file F... | 28.458333 | 150 | 0.662518 | #!/usr/bin/python2.4
# Small script to show PostgreSQL and Pyscopg together
#
import json
import psycopg2
import sys
match_id = sys.argv[1]
match_id = 2125002095
conn = psycopg2.connect("dbname='postgres' user='petergleixner' host='localhost' password=''")
cursor = conn.cursor()
cursor.execute('''SELECT replay_file F... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6b21fb3112526e3c6d130cc689c8ac09c81f6b73 | 1,032 | py | Python | url_shortener/database/migrations/versions/0001_initial_migration.py | tiesjan/url-shortener | 395ffc7b88dfe97c88914e8c4047690185b54ea7 | [
"BSD-3-Clause"
] | null | null | null | url_shortener/database/migrations/versions/0001_initial_migration.py | tiesjan/url-shortener | 395ffc7b88dfe97c88914e8c4047690185b54ea7 | [
"BSD-3-Clause"
] | null | null | null | url_shortener/database/migrations/versions/0001_initial_migration.py | tiesjan/url-shortener | 395ffc7b88dfe97c88914e8c4047690185b54ea7 | [
"BSD-3-Clause"
] | null | null | null | """
Initial migration
Revision ID: 4defdf508e78
Revises: (none)
Create Date: 2021-10-19 20:14:59.350979
"""
# revision identifiers, used by Alembic.
revision = '4defdf508e78'
down_revision = None
branch_labels = None
depends_on = None
| 24.571429 | 92 | 0.672481 | """
Initial migration
Revision ID: 4defdf508e78
Revises: (none)
Create Date: 2021-10-19 20:14:59.350979
"""
from alembic import op
import sqlalchemy as sa
from url_shortener.database.functions import utc_now
# revision identifiers, used by Alembic.
revision = '4defdf508e78'
down_revision = None
branch_labels = Non... | 0 | 0 | 0 | 0 | 0 | 644 | 0 | 34 | 114 |
9e6783c49f88b098a9e898f6e0d5fe94e9ffbd08 | 755 | py | Python | SplitterFile.py | abrahamalbert18/Image-Annotation-Application | bd5f0f7adffea2d749de568a41518986744d6846 | [
"MIT"
] | null | null | null | SplitterFile.py | abrahamalbert18/Image-Annotation-Application | bd5f0f7adffea2d749de568a41518986744d6846 | [
"MIT"
] | null | null | null | SplitterFile.py | abrahamalbert18/Image-Annotation-Application | bd5f0f7adffea2d749de568a41518986744d6846 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Dec 17 16:25:07 2018
@author: Albert
"""
import pandas as pd
import numpy as np
df = pd.read_csv("./PreprocessedDataFiles/MergedPreprocessedDataFiles/MergedPreprocessedDrinkingDataLabels v2.csv")
# originalDF = df
df['index'] = range(0, len(df))
splitRatio = [0.6,0.2,0.2]
... | 29.038462 | 115 | 0.684768 | # -*- coding: utf-8 -*-
"""
Created on Mon Dec 17 16:25:07 2018
@author: Albert
"""
import pandas as pd
import numpy as np
df = pd.read_csv("./PreprocessedDataFiles/MergedPreprocessedDataFiles/MergedPreprocessedDrinkingDataLabels v2.csv")
# originalDF = df
df['index'] = range(0, len(df))
splitRatio = [0.6,0.2,0.2]
... | 0 | 0 | 0 | 0 | 0 | 253 | 0 | 0 | 23 |
c525cf86b9d588c851934b1a4b781869fe7ba93d | 11,363 | py | Python | doubles/allowance.py | fakeNetflix/uber-repo-doubles | 15e68dcf98f709b19a581915fa6af5ef49ebdd8a | [
"MIT"
] | 150 | 2015-01-06T11:40:39.000Z | 2022-01-10T10:29:59.000Z | doubles/allowance.py | fakeNetflix/uber-repo-doubles | 15e68dcf98f709b19a581915fa6af5ef49ebdd8a | [
"MIT"
] | 78 | 2015-01-13T21:04:13.000Z | 2022-02-11T13:22:56.000Z | doubles/allowance.py | fakeNetflix/uber-repo-doubles | 15e68dcf98f709b19a581915fa6af5ef49ebdd8a | [
"MIT"
] | 22 | 2015-03-11T18:33:33.000Z | 2022-01-13T01:54:19.000Z |
_any = object()
| 31.131507 | 100 | 0.627299 | import functools
import inspect
import six
from doubles.call_count_accumulator import CallCountAccumulator
from doubles.exceptions import MockExpectationError, VerifyingBuiltinDoubleArgumentError
import doubles.lifecycle
from doubles.verification import verify_arguments
_any = object()
def _get_future():
try:
... | 0 | 738 | 0 | 9,338 | 0 | 877 | 0 | 117 | 271 |
167eec23d426971e1b913e6c330bb3abd675f342 | 241 | py | Python | simple_wo_blueprint_example/myapp/models.py | gtsofa/mnseriesflask | 58a84b698527ff3e790f0f7179193335bd440e3c | [
"MIT"
] | null | null | null | simple_wo_blueprint_example/myapp/models.py | gtsofa/mnseriesflask | 58a84b698527ff3e790f0f7179193335bd440e3c | [
"MIT"
] | null | null | null | simple_wo_blueprint_example/myapp/models.py | gtsofa/mnseriesflask | 58a84b698527ff3e790f0f7179193335bd440e3c | [
"MIT"
] | null | null | null | # myapp/models.py
# define model here
| 24.1 | 48 | 0.684647 | # myapp/models.py
from myapp import db
# define model here
class Member(db.Model):
id = db.Column(db.Integer, primary_key=True)
name = db.Column(db.String(50))
email = db.Column(db.String(50))
random = db.Column(db.Integer)
| 0 | 0 | 0 | 159 | 0 | 0 | 0 | -1 | 44 |
1b3d360d3d104a1f9e57c1cbb72e5d717d4819c7 | 2,625 | py | Python | external_libs/link/ci/run-tests.py | llloret/sp_link | b87ee622517fc68845b8f1d19c735c0e3bd05176 | [
"MIT"
] | null | null | null | external_libs/link/ci/run-tests.py | llloret/sp_link | b87ee622517fc68845b8f1d19c735c0e3bd05176 | [
"MIT"
] | null | null | null | external_libs/link/ci/run-tests.py | llloret/sp_link | b87ee622517fc68845b8f1d19c735c0e3bd05176 | [
"MIT"
] | 1 | 2021-02-22T11:37:41.000Z | 2021-02-22T11:37:41.000Z | #!/usr/bin/env python
import logging
import sys
if __name__ == '__main__':
logging.basicConfig(format='%(message)s', level=logging.INFO, stream=sys.stdout)
sys.exit(run_tests(parse_args()))
| 27.925532 | 88 | 0.649143 | #!/usr/bin/env python
import argparse
import logging
import os
import sys
from distutils.spawn import find_executable
from subprocess import call
def parse_args():
arg_parser = argparse.ArgumentParser()
arg_parser.add_argument(
'-t', '--target',
help='Target to test')
arg_parser.add_ar... | 0 | 0 | 0 | 0 | 0 | 2,205 | 0 | 10 | 205 |
c458dae29fdfeaad53ba796122d7d999a3528470 | 241 | py | Python | vnpy/trader/gateway/okcoinGateway/__init__.py | Adam1679/vnpy_adam | 91e384c9372ee36689d9bb600fe7f45fbb68976e | [
"MIT"
] | 1 | 2019-03-28T15:45:21.000Z | 2019-03-28T15:45:21.000Z | vnpy/trader/gateway/okcoinGateway/__init__.py | Adam1679/vnpy_adam | 91e384c9372ee36689d9bb600fe7f45fbb68976e | [
"MIT"
] | null | null | null | vnpy/trader/gateway/okcoinGateway/__init__.py | Adam1679/vnpy_adam | 91e384c9372ee36689d9bb600fe7f45fbb68976e | [
"MIT"
] | null | null | null | # encoding: UTF-8
from vnpy.trader import vtConstant
from okcoinGateway import OkcoinGateway
gatewayClass = OkcoinGateway
gatewayName = 'OKEX'
gatewayDisplayName = u'OkEx'
gatewayType = vtConstant.GATEWAYTYPE_BTC
gatewayQryEnabled = True
| 20.083333 | 40 | 0.821577 | # encoding: UTF-8
from vnpy.trader import vtConstant
from okcoinGateway import OkcoinGateway
gatewayClass = OkcoinGateway
gatewayName = 'OKEX'
gatewayDisplayName = u'OkEx'
gatewayType = vtConstant.GATEWAYTYPE_BTC
gatewayQryEnabled = True
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c4e9bbaf69c142bb6022e73c6da05f216a4b4b48 | 947 | py | Python | tests/unit/_helpers.py | metabolize-forks/booby | 4e15e4e263dc387420398f808ffb345b760364d4 | [
"Apache-2.0"
] | null | null | null | tests/unit/_helpers.py | metabolize-forks/booby | 4e15e4e263dc387420398f808ffb345b760364d4 | [
"Apache-2.0"
] | null | null | null | tests/unit/_helpers.py | metabolize-forks/booby | 4e15e4e263dc387420398f808ffb345b760364d4 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
| 16.910714 | 42 | 0.606125 | # -*- coding: utf-8 -*-
import collections
def stub_validator(value):
pass
class Spy(object):
def __init__(self):
self.times_called = 0
def __call__(self):
self.times_called += 1
class MyList(collections.MutableSequence):
def __init__(self, *args):
self._store = list(args... | 0 | 0 | 0 | 793 | 0 | 14 | 0 | -3 | 115 |
00cfbc4ba62476b2efa5d02b11c24a2c7078eb23 | 2,250 | py | Python | notes/code/trie.py | Divya-Bhargavi/msds689 | 7bc4e2c5f06ef1889a887d7f49ec367749e473af | [
"MIT"
] | 1 | 2019-08-26T04:11:13.000Z | 2019-08-26T04:11:13.000Z | notes/code/trie.py | khanhbrandy/msds689 | 7f8ee791fda9d4fa65c4b047fef6b37948e5bb7f | [
"MIT"
] | null | null | null | notes/code/trie.py | khanhbrandy/msds689 | 7f8ee791fda9d4fa65c4b047fef6b37948e5bb7f | [
"MIT"
] | 1 | 2019-07-02T08:58:59.000Z | 2019-07-02T08:58:59.000Z | import os
import psutil
def search(root:TrieNode, s:str, i=0) -> bool:
"Return true if s is prefix of word in Trie or full word in Trie"
p = root
while p is not None:
if i>=len(s): return True
e = ord(s[i]) - ord('a')
if p.edges[e] is None: return False
p = p.edges[e]
... | 25 | 85 | 0.577333 | from lolviz import *
import time
import os
import psutil
class TrieNode:
def __init__(self):
self.edges = [] # init edges, one per a..z letter
for c in range(ord('a'), ord('z')+1): self.edges.append(None)
def add(p:TrieNode, s:str, i=0) -> None:
if i>=len(s): return
e = ord(s[i]) - ord('a... | 0 | 0 | 0 | 146 | 0 | 1,077 | 0 | -11 | 182 |
df67bea4c9819ec52d3d60e17f46ad9238dc3a6d | 3,166 | py | Python | third_party/blink/renderer/build/scripts/make_runtime_features_utilities.py | zealoussnow/chromium | fd8a8914ca0183f0add65ae55f04e287543c7d4a | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 14,668 | 2015-01-01T01:57:10.000Z | 2022-03-31T23:33:32.000Z | third_party/blink/renderer/build/scripts/make_runtime_features_utilities.py | zealoussnow/chromium | fd8a8914ca0183f0add65ae55f04e287543c7d4a | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 113 | 2015-05-04T09:58:14.000Z | 2022-01-31T19:35:03.000Z | third_party/blink/renderer/build/scripts/make_runtime_features_utilities.py | zealoussnow/chromium | fd8a8914ca0183f0add65ae55f04e287543c7d4a | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 5,941 | 2015-01-02T11:32:21.000Z | 2022-03-31T16:35:46.000Z | # Copyright 2019 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
from collections import defaultdict
def _validate_runtime_features_graph(features):
"""
Raises AssertionError when sanity check failed.
@param... | 34.791209 | 94 | 0.639924 | # Copyright 2019 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
from collections import defaultdict
def _error_message(message, feature, other_feature=None):
message = 'runtime_enabled_features.json5: {}: {}'.format... | 0 | 0 | 0 | 0 | 0 | 552 | 0 | 0 | 77 |
16f2f307f2a23c4ea9298468f8941e54ddc89b6d | 587 | py | Python | K_Mathematical_Modeling/Section 0/solutionExo2.py | oercompbiomed/CBM101 | 20010dcb99fbf218c4789eb5918dcff8ceb94898 | [
"MIT"
] | 7 | 2019-07-03T07:41:55.000Z | 2022-02-06T20:25:37.000Z | K_Mathematical_Modeling/Section 0/solutionExo2.py | oercompbiomed/CBM101 | 20010dcb99fbf218c4789eb5918dcff8ceb94898 | [
"MIT"
] | 9 | 2019-03-14T15:15:09.000Z | 2019-08-01T14:18:21.000Z | K_Mathematical_Modeling/Section 0/solutionExo2.py | oercompbiomed/CBM101 | 20010dcb99fbf218c4789eb5918dcff8ceb94898 | [
"MIT"
] | 11 | 2019-03-12T10:43:11.000Z | 2021-10-05T12:15:00.000Z | Birds_year0 = 100
Birth_rate = 0.5
Death_rate = 0.2
# We repeat the "for" loop with an additional step: every time bird population reaches 1000, an epidemic kills half of them
Time=[0]
Birds=[100]
for year in range (1,51) :
Birds = Birds + [Birds[-1] + Birds[-1] * Birth_rate - Birds[-1] * Death_rate ]
... | 27.952381 | 124 | 0.637138 | Birds_year0 = 100
Birth_rate = 0.5
Death_rate = 0.2
# We repeat the "for" loop with an additional step: every time bird population reaches 1000, an epidemic kills half of them
Time=[0]
Birds=[100]
for year in range (1,51) :
Birds = Birds + [Birds[-1] + Birds[-1] * Birth_rate - Birds[-1] * Death_rate ]
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0cd24154039f132d5322d370540651a26ee7c32d | 3,682 | py | Python | Topic_modelling_output.py | Dushyanttara/ASR_SD | a7bfc07fc8ecb3b77dfd43cdadbfb2a491b66103 | [
"MIT"
] | null | null | null | Topic_modelling_output.py | Dushyanttara/ASR_SD | a7bfc07fc8ecb3b77dfd43cdadbfb2a491b66103 | [
"MIT"
] | null | null | null | Topic_modelling_output.py | Dushyanttara/ASR_SD | a7bfc07fc8ecb3b77dfd43cdadbfb2a491b66103 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Fri Dec 6 00:06:55 2019
@author: -
"""
import pandas as pd
import os
from gensim import corpora, models
from nltk.tokenize import RegexpTokenizer
from nltk.corpus import stopwords
os.getcwd()
os.chdir('C:\\Users\\abhishekpandey\\Desktop')
articles = pd.read_ex... | 42.813953 | 156 | 0.710483 | # -*- coding: utf-8 -*-
"""
Created on Fri Dec 6 00:06:55 2019
@author: -
"""
import pandas as pd
import numpy as np
from matplotlib import pyplot as plt
import os
from datetime import datetime
from gensim import corpora, models, similarities
from nltk.tokenize import RegexpTokenizer
from nltk.corpus i... | 0 | 0 | 0 | 0 | 0 | 787 | 0 | 34 | 119 |
75d3beb4b4c7a19de10f0742149b98b76a7a51f4 | 3,230 | py | Python | dakara_server/playlist/management/commands/createplayer.py | DakaraProject/dakara-server | b28fc1a8561e431d562102932f3d6ff3607e545b | [
"MIT"
] | 4 | 2018-07-24T18:22:16.000Z | 2020-01-24T16:30:54.000Z | dakara_server/playlist/management/commands/createplayer.py | DakaraProject/dakara-server | b28fc1a8561e431d562102932f3d6ff3607e545b | [
"MIT"
] | 88 | 2017-11-04T08:58:02.000Z | 2022-03-30T11:39:08.000Z | dakara_server/playlist/management/commands/createplayer.py | DakaraProject/dakara-server | b28fc1a8561e431d562102932f3d6ff3607e545b | [
"MIT"
] | 1 | 2018-05-05T15:37:20.000Z | 2018-05-05T15:37:20.000Z |
from django.contrib.auth import get_user_model
UserModel = get_user_model()
USERNAME_DEFAULT = "player"
| 27.606838 | 88 | 0.5613 | from getpass import getpass
from django.contrib.auth import get_user_model
from django.core.management.base import BaseCommand
from django.db.utils import IntegrityError
UserModel = get_user_model()
USERNAME_DEFAULT = "player"
class Command(BaseCommand):
"""Create the player special user."""
help = "Creat... | 0 | 232 | 0 | 2,744 | 0 | 0 | 0 | 57 | 89 |
92bf5938cadd673401ef50232fe50e8eb090235a | 24,621 | py | Python | python/ga4gh/schemas/ga4gh/genotype_phenotype_service_pb2.py | david4096/ga4gh-schemas | 774db498cc047cc64cc070325472c7dba60e6d42 | [
"Apache-2.0"
] | 114 | 2015-01-05T22:19:34.000Z | 2017-02-18T18:51:22.000Z | python/ga4gh/schemas/ga4gh/genotype_phenotype_service_pb2.py | david4096/ga4gh-schemas | 774db498cc047cc64cc070325472c7dba60e6d42 | [
"Apache-2.0"
] | 608 | 2015-01-06T00:24:39.000Z | 2017-03-09T05:29:16.000Z | python/ga4gh/schemas/ga4gh/genotype_phenotype_service_pb2.py | david4096/ga4gh-schemas | 774db498cc047cc64cc070325472c7dba60e6d42 | [
"Apache-2.0"
] | 98 | 2015-01-12T18:09:52.000Z | 2017-02-15T15:49:17.000Z | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: ga4gh/schemas/ga4gh/genotype_phenotype_service.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from goog... | 46.454717 | 3,000 | 0.779213 | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: ga4gh/schemas/ga4gh/genotype_phenotype_service.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from goog... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 22 |
910af70fde3d4b24a60b0a876965bc7f748573ce | 4,695 | py | Python | aiounittest/helpers.py | tmaila/aiounittest | c43d3b619fd6a8fd071758996a5f42310b0293dc | [
"MIT"
] | null | null | null | aiounittest/helpers.py | tmaila/aiounittest | c43d3b619fd6a8fd071758996a5f42310b0293dc | [
"MIT"
] | null | null | null | aiounittest/helpers.py | tmaila/aiounittest | c43d3b619fd6a8fd071758996a5f42310b0293dc | [
"MIT"
] | null | null | null | import asyncio
def futurized(o):
''' Makes the given object to be awaitable.
:param any o: Object to wrap
:return: awaitable that resolves to provided object
:rtype: asyncio.Future
Anything passed to :code:`futurized` is wrapped in :code:`asyncio.Future`.
This makes it awaitable (can be run ... | 30.888158 | 147 | 0.594249 | import asyncio
import functools
def futurized(o):
''' Makes the given object to be awaitable.
:param any o: Object to wrap
:return: awaitable that resolves to provided object
:rtype: asyncio.Future
Anything passed to :code:`futurized` is wrapped in :code:`asyncio.Future`.
This makes it await... | 0 | 658 | 0 | 0 | 0 | 278 | 0 | -5 | 75 |
a01937274946e3d3dc59bb59097e6ddcb1f8f4f7 | 4,528 | py | Python | daemon/core/gui/dialogs/alerts.py | kleberango/core | 87ca431e73fec22faeaebd6b25fc76e0b165c639 | [
"BSD-2-Clause"
] | null | null | null | daemon/core/gui/dialogs/alerts.py | kleberango/core | 87ca431e73fec22faeaebd6b25fc76e0b165c639 | [
"BSD-2-Clause"
] | null | null | null | daemon/core/gui/dialogs/alerts.py | kleberango/core | 87ca431e73fec22faeaebd6b25fc76e0b165c639 | [
"BSD-2-Clause"
] | 1 | 2021-09-03T19:18:54.000Z | 2021-09-03T19:18:54.000Z | """
check engine light
"""
from typing import TYPE_CHECKING
if TYPE_CHECKING:
| 39.373913 | 87 | 0.628092 | """
check engine light
"""
import tkinter as tk
from tkinter import ttk
from typing import TYPE_CHECKING, Dict, Optional
from core.gui.dialogs.dialog import Dialog
from core.gui.themes import PADX, PADY
from core.gui.widgets import CodeText
from core.gui.wrappers import ExceptionEvent, ExceptionLevel
if TYPE_CHECKING... | 0 | 0 | 0 | 4,141 | 0 | 0 | 0 | 125 | 182 |
13445cd76a57b0cfb98ffb3231749aa5d5c91508 | 195 | py | Python | gamefixes/356500.py | manueliglesiasgarcia/protonfixes | d676b6bf39f6e4268b4791d3d71c6d74e2127121 | [
"BSD-2-Clause"
] | 54 | 2019-06-21T22:03:45.000Z | 2022-03-20T19:24:36.000Z | gamefixes/356500.py | manueliglesiasgarcia/protonfixes | d676b6bf39f6e4268b4791d3d71c6d74e2127121 | [
"BSD-2-Clause"
] | 21 | 2020-06-13T22:49:18.000Z | 2022-03-20T08:28:39.000Z | gamefixes/356500.py | manueliglesiasgarcia/protonfixes | d676b6bf39f6e4268b4791d3d71c6d74e2127121 | [
"BSD-2-Clause"
] | 53 | 2019-09-11T15:23:25.000Z | 2022-03-20T08:18:49.000Z | """ Game fix for STAR WARS Galactic Battlegrounds Saga
"""
#pylint: disable=C0103
| 17.727273 | 54 | 0.728205 | """ Game fix for STAR WARS Galactic Battlegrounds Saga
"""
#pylint: disable=C0103
from protonfixes import util
def main():
util.protontricks('icodecs')
util.protontricks('directplay')
| 0 | 0 | 0 | 0 | 0 | 59 | 0 | 7 | 46 |
9693d0adc1ee8de233d3015aa07f6141ff5843be | 28 | py | Python | test/login.py | huang880/test | 9c65ffd470dd52633ded4eb2b8e1cd89d3b7c5d0 | [
"MIT"
] | null | null | null | test/login.py | huang880/test | 9c65ffd470dd52633ded4eb2b8e1cd89d3b7c5d0 | [
"MIT"
] | null | null | null | test/login.py | huang880/test | 9c65ffd470dd52633ded4eb2b8e1cd89d3b7c5d0 | [
"MIT"
] | null | null | null | a=1
b=2
c=3
d=4
f=6
| 4 | 7 | 0.607143 | a=1
b=2
c=3
d=4
你是不是个沙雕
f=6
| 21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e051ca2acbd4d511635ff08104c916ea3c6f9804 | 1,841 | py | Python | tests/integration/tasks/test_azure_data_lake.py | gwieloch/viadot | 8026c4f5e48e5bec7bf62ea3e3e044e81ef3321f | [
"MIT"
] | 23 | 2021-05-04T13:28:30.000Z | 2022-02-16T18:51:24.000Z | tests/integration/tasks/test_azure_data_lake.py | gwieloch/viadot | 8026c4f5e48e5bec7bf62ea3e3e044e81ef3321f | [
"MIT"
] | 142 | 2021-05-01T10:48:12.000Z | 2022-03-28T15:00:06.000Z | tests/integration/tasks/test_azure_data_lake.py | gwieloch/viadot | 8026c4f5e48e5bec7bf62ea3e3e044e81ef3321f | [
"MIT"
] | 13 | 2021-05-14T18:28:10.000Z | 2022-03-17T10:17:17.000Z | import uuid
uuid_4 = uuid.uuid4()
uuid_4_2 = uuid.uuid4()
file_name = f"test_file_{uuid_4}.csv"
file_name_2 = f"test_file_{uuid_4}.csv"
adls_path = f"raw/supermetrics/{file_name}"
adls_path_2 = f"raw/supermetrics/{file_name_2}"
file_name_parquet = f"test_file_{uuid_4}.parquet"
adls_path_parquet = f"raw/supermetrics/... | 27.073529 | 80 | 0.767518 | import os
import uuid
from viadot.sources import AzureDataLake
from viadot.tasks import (
AzureDataLakeDownload,
AzureDataLakeToDF,
AzureDataLakeUpload,
AzureDataLakeCopy,
AzureDataLakeList,
)
uuid_4 = uuid.uuid4()
uuid_4_2 = uuid.uuid4()
file_name = f"test_file_{uuid_4}.csv"
file_name_2 = f"test... | 0 | 0 | 0 | 0 | 0 | 1,057 | 0 | 135 | 205 |
3210d5af97fee381968e118be3cb3f5b7f008957 | 2,093 | py | Python | denoising_autoencoder.py | JiananGao/DP-NMF | be96e67bd8955e46baa4d3f477f40c32a009c1cd | [
"MIT"
] | 2 | 2019-03-16T16:59:39.000Z | 2020-12-22T02:09:42.000Z | denoising_autoencoder.py | JiananGao/DP-NMF | be96e67bd8955e46baa4d3f477f40c32a009c1cd | [
"MIT"
] | null | null | null | denoising_autoencoder.py | JiananGao/DP-NMF | be96e67bd8955e46baa4d3f477f40c32a009c1cd | [
"MIT"
] | null | null | null | #Author: Satwik Bhattamishra
import tensorflow.examples.tutorials.mnist.input_data as input_data
if __name__ == '__main__':
denoising_autoencoder()
| 26.493671 | 116 | 0.68753 | #Author: Satwik Bhattamishra
import tensorflow as tf
import numpy as np
import tensorflow.examples.tutorials.mnist.input_data as input_data
def denoising_autoencoder(hidden_units= 500, prob=0.4):
learning_rate = 0.001
batch_size = 50
n_epochs = 10
x = tf.placeholder(tf.float32, [None, 784], name='x')
x_ = tf.... | 0 | 0 | 0 | 0 | 0 | 1,875 | 0 | -1 | 68 |
a7c06cb92e54c73f18c82681723c99eff1f48301 | 1,097 | py | Python | Array/longestMountain/longestMountain.py | qyp1997/leetcoder | 4c01f11e5138cbb9aa12b4f6ef0c4a60d25b92c2 | [
"MIT"
] | null | null | null | Array/longestMountain/longestMountain.py | qyp1997/leetcoder | 4c01f11e5138cbb9aa12b4f6ef0c4a60d25b92c2 | [
"MIT"
] | null | null | null | Array/longestMountain/longestMountain.py | qyp1997/leetcoder | 4c01f11e5138cbb9aa12b4f6ef0c4a60d25b92c2 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
@Time : 2020/10/25 17:14
@Auth : Qi
@IDE : PyCharm
@Title: 845.
@Link : https://leetcode-cn.com/problems/longest-mountain-in-array/
"""
if __name__ == '__main__':
#
s = Solution()
print(s.longestMountain([2, 1, 4, 7, 3, 2, 5]))
print(s.longestMountain([0, 1, 0, 0, 1, 1,... | 29.648649 | 76 | 0.441203 | # -*- coding: utf-8 -*-
"""
@Time : 2020/10/25 17:14
@Auth : Qi
@IDE : PyCharm
@Title: 845. 数组中的最长山脉
@Link : https://leetcode-cn.com/problems/longest-mountain-in-array/
"""
class Solution:
def longestMountain(self, A) -> int:
up, down, maxRet = 0, 0, 0
for i in range(1, len(A)):
if A[... | 36 | 0 | 0 | 693 | 0 | 0 | 0 | 0 | 23 |
004dae0bab2e65b2b02c2b31eb46c43d4c61bc03 | 3,626 | py | Python | software/inpainting/inpainting_iterative_rgbd/inpaint_rgbd_tiled.py | venkai/deploy_core3d | 6333c634f8f79b3ed9d7b13f39137c406f374a4f | [
"BSD-2-Clause"
] | 3 | 2020-05-03T10:22:46.000Z | 2021-06-26T16:17:09.000Z | software/inpainting/inpainting_iterative_rgbd/inpaint_rgbd_tiled.py | venkai/deploy_core3d | 6333c634f8f79b3ed9d7b13f39137c406f374a4f | [
"BSD-2-Clause"
] | null | null | null | software/inpainting/inpainting_iterative_rgbd/inpaint_rgbd_tiled.py | venkai/deploy_core3d | 6333c634f8f79b3ed9d7b13f39137c406f374a4f | [
"BSD-2-Clause"
] | 1 | 2021-01-19T19:49:58.000Z | 2021-01-19T19:49:58.000Z | import argparse
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Command for running the Inpainting Pipeline on RGBD satellite imagery")
parser.add_argument('--gpu', type=str, default='0', help='the gpu that will be used, e.g "0"')
parser.add_argument('--nrep', type=int, default=9,... | 54.119403 | 129 | 0.664368 | import os
import time
import cv2
from inference_new import *
import argparse
from glob import glob
def main():
st = time.time()
outputdir = args.outputdir
if not os.path.isdir(outputdir):
os.makedirs(outputdir)
# Load network
test_prototxt=args.trn_dir + '/test_' + args.model_type + ('_... | 0 | 0 | 0 | 0 | 0 | 1,839 | 0 | -27 | 133 |
6257c7f64cd12ee5ad761bbc7011d80335ead4b9 | 22,819 | py | Python | threeML/utils/time_series/time_series.py | Husky22/threeML | 2ef3401e3edf82ceffd85ad0a9ea9e8b2bba3520 | [
"BSD-3-Clause"
] | null | null | null | threeML/utils/time_series/time_series.py | Husky22/threeML | 2ef3401e3edf82ceffd85ad0a9ea9e8b2bba3520 | [
"BSD-3-Clause"
] | null | null | null | threeML/utils/time_series/time_series.py | Husky22/threeML | 2ef3401e3edf82ceffd85ad0a9ea9e8b2bba3520 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import print_function
from __future__ import division
__author__ = 'grburgess'
# find out how many splits we need to make
| 29.55829 | 139 | 0.603401 | from __future__ import print_function
from __future__ import division
from builtins import zip
from builtins import range
from builtins import object
from past.utils import old_div
__author__ = 'grburgess'
import collections
import os
import numpy as np
import pandas as pd
from pandas import HDFStore
from threeML.ex... | 0 | 693 | 0 | 21,320 | 0 | 19 | 0 | 218 | 425 |
0f7f3b70073770b5b01ea972277895a04e2450c4 | 382 | py | Python | serivce/run.py | LupusAnay/gateway-prototype | e40426e05ca7b2a83bfd8d31fec252086f586eb8 | [
"MIT"
] | null | null | null | serivce/run.py | LupusAnay/gateway-prototype | e40426e05ca7b2a83bfd8d31fec252086f586eb8 | [
"MIT"
] | null | null | null | serivce/run.py | LupusAnay/gateway-prototype | e40426e05ca7b2a83bfd8d31fec252086f586eb8 | [
"MIT"
] | null | null | null | import requests
import json
from flask.cli import FlaskGroup
from serivce.app import create_app
app = create_app()
data = json.dumps(dict(name='service', port='8000'))
headers = {'Content-type': 'application/json'}
requests.post('http://localhost:5000/instance', headers=headers, data=data)
cli = FlaskGroup(app)
i... | 20.105263 | 75 | 0.73822 | import requests
import json
from flask.cli import FlaskGroup
from flask import jsonify
from serivce.app import create_app
app = create_app()
data = json.dumps(dict(name='service', port='8000'))
headers = {'Content-type': 'application/json'}
requests.post('http://localhost:5000/instance', headers=headers, data=data)... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 22 |
a5de7750593cb2f7bb8b789eae2fd2281336211a | 24,635 | py | Python | src/dorfromantik_helper/ui.py | mcdonnnj/dorfromantik_helper | adba24c135d54fc38d8879860972a869a0eba59e | [
"MIT"
] | null | null | null | src/dorfromantik_helper/ui.py | mcdonnnj/dorfromantik_helper | adba24c135d54fc38d8879860972a869a0eba59e | [
"MIT"
] | null | null | null | src/dorfromantik_helper/ui.py | mcdonnnj/dorfromantik_helper | adba24c135d54fc38d8879860972a869a0eba59e | [
"MIT"
] | null | null | null | """Canvas that displays the full game board."""
# Standard Python Libraries
# Third-Party Libraries
| 38.372274 | 97 | 0.577349 | """Canvas that displays the full game board."""
# Standard Python Libraries
import tkinter as tk
# Third-Party Libraries
import numpy as np
from . import constants
from .board import DorfBoard
class DorfBoardCanvas(tk.Canvas):
def __init__(
self, master, board, tile_canvas, pix_height, pix_width, *args,... | 0 | 206 | 0 | 24,162 | 0 | 0 | 0 | 5 | 158 |
16ba5d46a3f627000bdc25262e6704e3cd4ff7a4 | 13,288 | py | Python | tests/parsers/cups_ipp.py | jonathan-greig/plaso | b88a6e54c06a162295d09b016bddbfbfe7ca9070 | [
"Apache-2.0"
] | 6 | 2015-07-30T11:07:24.000Z | 2021-07-23T07:12:30.000Z | tests/parsers/cups_ipp.py | jonathan-greig/plaso | b88a6e54c06a162295d09b016bddbfbfe7ca9070 | [
"Apache-2.0"
] | null | null | null | tests/parsers/cups_ipp.py | jonathan-greig/plaso | b88a6e54c06a162295d09b016bddbfbfe7ca9070 | [
"Apache-2.0"
] | 1 | 2021-07-23T07:12:37.000Z | 2021-07-23T07:12:37.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Parser test for MacOS Cups IPP Log files."""
import unittest
if __name__ == '__main__':
unittest.main()
| 35.060686 | 79 | 0.72637 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Parser test for MacOS Cups IPP Log files."""
import unittest
from dfvfs.helpers import fake_file_system_builder
from dfvfs.path import fake_path_spec
from plaso.lib import definitions
from plaso.lib import errors
from plaso.parsers import cups_ipp
from tests.parsers... | 0 | 0 | 0 | 12,880 | 0 | 0 | 0 | 90 | 158 |
5cc078595469499a2573ffbe88997b94b12bfd24 | 769 | py | Python | Backend/oeda/rtxlib/preprocessors/__init__.py | iliasger/OEDA | 0b5d94156cfc2d9252062f5d90dcb266466498d6 | [
"Apache-2.0"
] | 2 | 2019-10-11T10:40:11.000Z | 2021-05-17T14:56:18.000Z | Backend/oeda/rtxlib/preprocessors/__init__.py | iliasger/OEDA | 0b5d94156cfc2d9252062f5d90dcb266466498d6 | [
"Apache-2.0"
] | 3 | 2022-02-15T05:11:34.000Z | 2022-03-02T13:01:36.000Z | Backend/oeda/rtxlib/preprocessors/__init__.py | iliasger/OEDA | 0b5d94156cfc2d9252062f5d90dcb266466498d6 | [
"Apache-2.0"
] | 2 | 2019-05-27T13:01:23.000Z | 2020-10-23T14:47:31.000Z | from colorama import Fore
from oeda.rtxlib.preprocessors.SparkPreProcessor import SparkPreProcessor
def init_pre_processors(wf):
""" we look into the workflows definition and run the required preprocessors """
if hasattr(wf, "pre_processors"):
pp = wf.pre_processors
for p in pp:
if... | 29.576923 | 84 | 0.622887 | from colorama import Fore
from oeda.log import *
from oeda.rtxlib.preprocessors.SparkPreProcessor import SparkPreProcessor
def init_pre_processors(wf):
""" we look into the workflows definition and run the required preprocessors """
if hasattr(wf, "pre_processors"):
pp = wf.pre_processors
for... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 23 |
aab2fb48530b34760ffc1b2b1c43e3ed7ef58254 | 260 | py | Python | pythainlp/translate/__init__.py | wannaphongcom/pythai-nlp | efcbe7f1881351fadf62d28cc0415d22156a2e71 | [
"Apache-2.0"
] | 125 | 2016-06-27T06:16:38.000Z | 2017-10-14T08:02:26.000Z | pythainlp/translate/__init__.py | wannaphongcom/pythainlp | efcbe7f1881351fadf62d28cc0415d22156a2e71 | [
"Apache-2.0"
] | 48 | 2016-08-31T02:01:03.000Z | 2017-10-07T16:33:47.000Z | pythainlp/translate/__init__.py | wannaphongcom/pythai-nlp | efcbe7f1881351fadf62d28cc0415d22156a2e71 | [
"Apache-2.0"
] | 40 | 2016-06-27T00:19:12.000Z | 2017-10-16T06:32:20.000Z | # -*- coding: utf-8 -*-
"""
Language translation.
"""
__all__ = [
"ThZhTranslator",
"ZhThTranslator",
"Translate"
]
from pythainlp.translate.core import Translate
from pythainlp.translate.zh_th import (ThZhTranslator, ZhThTranslator)
| 14.444444 | 46 | 0.673077 | # -*- coding: utf-8 -*-
"""
Language translation.
"""
__all__ = [
"ThZhTranslator",
"ZhThTranslator",
"Translate"
]
from pythainlp.translate.core import Translate
from pythainlp.translate.zh_th import (
ThZhTranslator,
ZhThTranslator,
)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 |
23102cfdc377911d6f7c24434ac0713380ea8134 | 1,005 | py | Python | test/unit/ggrc/models/test_custom_attribute_definition.py | ks-manish/ggrc-core | f9499236e0c6d2e29ff9d2acf403fdecd9c8a173 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | test/unit/ggrc/models/test_custom_attribute_definition.py | ks-manish/ggrc-core | f9499236e0c6d2e29ff9d2acf403fdecd9c8a173 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | test/unit/ggrc/models/test_custom_attribute_definition.py | ks-manish/ggrc-core | f9499236e0c6d2e29ff9d2acf403fdecd9c8a173 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # Copyright (C) 2019 Google Inc.
# Licensed under http://www.apache.org/licenses/LICENSE-2.0 <see LICENSE file>
"""Test Custom Attribute Definition validation"""
| 34.655172 | 79 | 0.753234 | # Copyright (C) 2019 Google Inc.
# Licensed under http://www.apache.org/licenses/LICENSE-2.0 <see LICENSE file>
"""Test Custom Attribute Definition validation"""
import unittest
from mock import MagicMock
from ggrc.models import all_models
from ggrc.access_control import role as acr
class TestCustomAttributeDefini... | 0 | 0 | 0 | 694 | 0 | 0 | 0 | 34 | 113 |
0b7b1e425f8017f791073b532d42d48a2786d924 | 171 | py | Python | 13.py | kwoshvick/project-euler | d27370b0f22b51ad9ccb15afa912983d8fd8be5c | [
"MIT"
] | null | null | null | 13.py | kwoshvick/project-euler | d27370b0f22b51ad9ccb15afa912983d8fd8be5c | [
"MIT"
] | null | null | null | 13.py | kwoshvick/project-euler | d27370b0f22b51ad9ccb15afa912983d8fd8be5c | [
"MIT"
] | null | null | null | file = open("13")
sum = 0
for numbers in file:
#print(numbers.rstrip())
numbers = int(numbers)
sum += numbers;
print(sum)
sum = str(sum)
print(sum[:10])
| 10.6875 | 28 | 0.596491 | file = open("13")
sum = 0
for numbers in file:
#print(numbers.rstrip())
numbers = int(numbers)
sum += numbers;
print(sum)
sum = str(sum)
print(sum[:10])
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
41a4a212bdd800f5254430c0e4838186564b6a70 | 5,422 | py | Python | autoencoder_use_mnist.py | deeplearningathome/autoencoder | 7cd4a54e1ed47bbcf0cf97e2eafc7cb0cc8ad1af | [
"MIT"
] | 3 | 2017-08-08T09:43:12.000Z | 2018-05-23T09:29:41.000Z | autoencoder_use_mnist.py | deeplearningathome/autoencoder | 7cd4a54e1ed47bbcf0cf97e2eafc7cb0cc8ad1af | [
"MIT"
] | null | null | null | autoencoder_use_mnist.py | deeplearningathome/autoencoder | 7cd4a54e1ed47bbcf0cf97e2eafc7cb0cc8ad1af | [
"MIT"
] | 2 | 2016-12-26T09:27:00.000Z | 2019-12-13T13:14:05.000Z | """
MIT License
Copyright (c) 2016 deeplearningathome. http://deeplearningathome.com/
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
... | 50.672897 | 134 | 0.71007 | """
MIT License
Copyright (c) 2016 deeplearningathome. http://deeplearningathome.com/
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
... | 0 | 0 | 0 | 0 | 0 | 3,262 | 0 | 95 | 133 |
8dc572c5ddfe9278604ffcd87024633538f518d4 | 9,925 | py | Python | www/app/views/api.py | YuiJL/myweblog | 82f355d32b6d37cf329f1852459d40d5410de810 | [
"MIT"
] | 2 | 2016-09-18T12:41:44.000Z | 2016-10-26T04:27:25.000Z | www/app/views/api.py | YuiJL/webblog | 82f355d32b6d37cf329f1852459d40d5410de810 | [
"MIT"
] | null | null | null | www/app/views/api.py | YuiJL/webblog | 82f355d32b6d37cf329f1852459d40d5410de810 | [
"MIT"
] | 2 | 2016-09-22T05:31:18.000Z | 2016-10-05T18:39:29.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = 'Jiayi Li'
from flask import Blueprint
api = Blueprint('api', __name__, url_prefix='/api')
APIS = ('blogs', 'users', 'comments')
#************************************
#----------------APIs----------------
#************************************
... | 32.224026 | 109 | 0.556675 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = 'Jiayi Li'
import time, os, re
from bson.objectid import ObjectId
from werkzeug.utils import secure_filename
from flask import request, redirect, url_for, jsonify, abort, Blueprint, make_response, g, flash, current_app
from app import db
from app.models im... | 0 | 9,027 | 0 | 0 | 0 | 0 | 0 | 183 | 391 |
b37a81a05ea7a387843e0c8e55bac504975a6e81 | 1,091 | py | Python | Python/Misc.py | Spectavi/video-diff | 4ad28aea48877937f6b5b25f374f9c14eaf79212 | [
"BSD-3-Clause"
] | 1 | 2021-04-18T21:24:42.000Z | 2021-04-18T21:24:42.000Z | Python/Misc.py | Spectavi/video-diff | 4ad28aea48877937f6b5b25f374f9c14eaf79212 | [
"BSD-3-Clause"
] | null | null | null | Python/Misc.py | Spectavi/video-diff | 4ad28aea48877937f6b5b25f374f9c14eaf79212 | [
"BSD-3-Clause"
] | null | null | null | import cv
# TODO: This class doesn't seem to be used and is based on old OpenCV bindings.
# Either finish the class or remove it.
def convert_np_to_cvmat(img_np):
"""
This gives a: AttributeError: 'numpy.ndarray' object has no attribute
'from_array'
ImageAlignment.template_image = ImageAlignment.temp... | 36.366667 | 116 | 0.698442 | import cv
# TODO: This class doesn't seem to be used and is based on old OpenCV bindings.
# Either finish the class or remove it.
def convert_np_to_cvmat(img_np):
"""
This gives a: AttributeError: 'numpy.ndarray' object has no attribute
'from_array'
ImageAlignment.template_image = ImageAlignment.temp... | 0 | 0 | 0 | 0 | 0 | 441 | 0 | 0 | 23 |
148a619326f816979634a70896847110174d2691 | 6,456 | py | Python | python/extract_small_fragments.py | maubarsom/biotico-tools | 3e34e1fdde083e49da10f5afdae6a951246b8a94 | [
"Apache-2.0"
] | 1 | 2021-01-16T20:47:29.000Z | 2021-01-16T20:47:29.000Z | python/extract_small_fragments.py | maubarsom/biotico-tools | 3e34e1fdde083e49da10f5afdae6a951246b8a94 | [
"Apache-2.0"
] | null | null | null | python/extract_small_fragments.py | maubarsom/biotico-tools | 3e34e1fdde083e49da10f5afdae6a951246b8a94 | [
"Apache-2.0"
] | 1 | 2015-06-26T18:22:11.000Z | 2015-06-26T18:22:11.000Z | #!/usr/bin/env python
"""
Script that uses output from cutadapt to quickly detect fully overlapping pairs.
It is based on the fact that if sequencing adapters are trimmed from both paired-ends, the resulting
fragment needs to be shorter than the pair-end length
Depends of cutadapt seqio and xopen modules from version ... | 33.978947 | 158 | 0.74272 | #!/usr/bin/env python
"""
Script that uses output from cutadapt to quickly detect fully overlapping pairs.
It is based on the fact that if sequencing adapters are trimmed from both paired-ends, the resulting
fragment needs to be shorter than the pair-end length
Depends of cutadapt seqio and xopen modules from version ... | 0 | 0 | 0 | 837 | 0 | 2,680 | 0 | -23 | 358 |
1420efe3a125985e64e2524aecee773b66a7a539 | 5,956 | py | Python | models/audio_net.py | CFM-MSG/MTSC_VSS | 9536f8dc8d0282c3d0e6e2beee6e2cac490d6cb1 | [
"MIT"
] | 1 | 2021-11-20T12:31:24.000Z | 2021-11-20T12:31:24.000Z | models/audio_net.py | CFM-MSG/MTSC_VSS | 9536f8dc8d0282c3d0e6e2beee6e2cac490d6cb1 | [
"MIT"
] | null | null | null | models/audio_net.py | CFM-MSG/MTSC_VSS | 9536f8dc8d0282c3d0e6e2beee6e2cac490d6cb1 | [
"MIT"
] | null | null | null | import torch.nn as nn
| 48.819672 | 118 | 0.662525 | import torch
import torch.nn as nn
import torch.nn.functional as F
class Unet(nn.Module):
def __init__(self, ngf=64):
super(Unet, self).__init__()
two_stream = TwoStreamBlock(ngf * 8, ngf * 8)
unet_block = UnetBlock(ngf * 8, ngf * 8, upconv_in_dim=ngf * 8 * 2, submodule=two_stream)
... | 0 | 0 | 0 | 5,818 | 0 | 0 | 0 | 1 | 113 |
0d426cc28bb3a102172b4a5193fac6badf8ee34e | 7,741 | py | Python | test/nn/conv/test_message_passing.py | zheng-da/pytorch_geometric | 3d23afdf5f5c6f386b17a339790181313c60aae6 | [
"MIT"
] | 2 | 2020-12-06T13:10:52.000Z | 2021-07-06T06:50:10.000Z | test/nn/conv/test_message_passing.py | zheng-da/pytorch_geometric | 3d23afdf5f5c6f386b17a339790181313c60aae6 | [
"MIT"
] | null | null | null | test/nn/conv/test_message_passing.py | zheng-da/pytorch_geometric | 3d23afdf5f5c6f386b17a339790181313c60aae6 | [
"MIT"
] | 1 | 2021-07-06T06:50:21.000Z | 2021-07-06T06:50:21.000Z |
import torch
from torch_sparse import SparseTensor
edge_index = torch.tensor([
[0, 0, 0, 1, 1],
[0, 1, 2, 0, 2],
])
adj_t = SparseTensor(row=edge_index[1], col=edge_index[0])
x = (
torch.arange(1, 3, dtype=torch.float),
torch.arange(1, 4, dtype=torch.float),
)
| 31.72541 | 71 | 0.6556 | import copy
import pytest
from typing import Tuple, Optional
import torch
from torch_sparse import SparseTensor
from torch_sparse.matmul import spmm
from torch_geometric.nn import MessagePassing
from torch_geometric.utils import softmax
edge_index = torch.tensor([
[0, 0, 0, 1, 1],
[0, 1, 2, 0, 2],
])
adj_t = ... | 0 | 0 | 0 | 2,616 | 0 | 4,300 | 0 | 54 | 477 |
37d9b671438cbab3ced21ae57cea76a44b2892f3 | 4,282 | py | Python | src/plot_jhu_data.py | astrophys/covid19 | a1978a87a4d090c1de29d38db1c04164c8b0ba8e | [
"MIT"
] | 1 | 2020-03-19T17:39:17.000Z | 2020-03-19T17:39:17.000Z | src/plot_jhu_data.py | astrophys/covid19 | a1978a87a4d090c1de29d38db1c04164c8b0ba8e | [
"MIT"
] | null | null | null | src/plot_jhu_data.py | astrophys/covid19 | a1978a87a4d090c1de29d38db1c04164c8b0ba8e | [
"MIT"
] | null | null | null | # Author : Ali Snedden
# Date : 3/21/20
# License: MIT
# Purpose:
# This code plots the Johns Hoptins Covid-19 Data
#
#
#
# Notes :
#
# References :
# 1. https://github.com/CSSEGISandData/COVID-19
#
#
# Future:
#
#
#
import sys
import numpy as np
import time
import pandas as pd
from matplotlib imp... | 30.15493 | 111 | 0.541336 | # Author : Ali Snedden
# Date : 3/21/20
# License: MIT
# Purpose:
# This code plots the Johns Hoptins Covid-19 Data
#
#
#
# Notes :
#
# References :
# 1. https://github.com/CSSEGISandData/COVID-19
#
#
# Future:
#
#
#
import sys
import numpy as np
import time
import pandas as pd
from matplotlib imp... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 44 |
26bf7610cfe93f9a459dcd52bd651b53365563d4 | 1,789 | py | Python | tkinter_module/tkinter_image.py | kenwaldek/python | e6aaf5616a456a4fb91889c0617bd6511f1a223e | [
"MIT"
] | 1 | 2019-02-24T09:57:16.000Z | 2019-02-24T09:57:16.000Z | tkinter_module/tkinter_image.py | kenwaldek/python | e6aaf5616a456a4fb91889c0617bd6511f1a223e | [
"MIT"
] | null | null | null | tkinter_module/tkinter_image.py | kenwaldek/python | e6aaf5616a456a4fb91889c0617bd6511f1a223e | [
"MIT"
] | 4 | 2017-05-21T15:34:53.000Z | 2018-09-25T06:56:15.000Z | #! /usr/bin/env python3
# -*- coding:utf-8 -*-
###############################################################
# kenwaldek MIT-license
#
# Title: tkinter_image Version: 1.0
# Date: 26-12-16 Language: python3
# Description: tkinter inladen van image en text v... | 27.953125 | 73 | 0.561766 | #! /usr/bin/env python3
# -*- coding:utf-8 -*-
###############################################################
# © kenwaldek MIT-license
#
# Title: tkinter_image Version: 1.0
# Date: 26-12-16 Language: python3
# Description: tkinter inladen van image en text ... | 2 | 0 | 0 | 1,239 | 0 | 0 | 0 | 9 | 68 |
1e000f54ec66535b78129eef7b6df9704797f75b | 1,098 | py | Python | steps/run-wait/step.py | relay-integrations/relay-puppet | 1e0c2b67e778a26fcd91ed6bf2680f120e9a67d8 | [
"Apache-2.0"
] | 1 | 2020-11-30T07:20:17.000Z | 2020-11-30T07:20:17.000Z | steps/run-wait/step.py | relay-integrations/relay-puppet | 1e0c2b67e778a26fcd91ed6bf2680f120e9a67d8 | [
"Apache-2.0"
] | null | null | null | steps/run-wait/step.py | relay-integrations/relay-puppet | 1e0c2b67e778a26fcd91ed6bf2680f120e9a67d8 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
import logging
import time
from urllib.parse import urljoin
import requests
from relay_sdk import Interface, Dynamic as D
relay = Interface()
relay_api_url = relay.get(D.connection.relayAPIURL)
relay_api_token = relay.get(D.connection.token)
run_id = relay.get(D.id)
headers = {'Authorization... | 26.780488 | 105 | 0.662113 | #!/usr/bin/env python
import logging
import time
from urllib.parse import urljoin
import requests
from relay_sdk import Interface, Dynamic as D
relay = Interface()
relay_api_url = relay.get(D.connection.relayAPIURL)
relay_api_token = relay.get(D.connection.token)
run_id = relay.get(D.id)
headers = {'Authorization... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6daf6cc726a7f05dfdd45c0c735937d37d9d3b2e | 1,671 | py | Python | src/config.py | gwohlgen/w2v_ol | bb67a3a1b54ca756cff1f28ef5ca5842e8a9c91d | [
"Apache-2.0"
] | 20 | 2017-04-05T10:37:26.000Z | 2022-03-02T17:24:16.000Z | src/config.py | gwohlgen/w2v_ol | bb67a3a1b54ca756cff1f28ef5ca5842e8a9c91d | [
"Apache-2.0"
] | 1 | 2019-04-02T07:33:53.000Z | 2019-04-02T07:33:53.000Z | src/config.py | gwohlgen/w2v_ol | bb67a3a1b54ca756cff1f28ef5ca5842e8a9c91d | [
"Apache-2.0"
] | 10 | 2018-02-06T12:10:37.000Z | 2021-02-13T05:54:57.000Z | #!/usr/bin/python
# you need to config this!
# set the model file, and if the model supports big-grams: set seed with bigrams..
## the conf dict stores all relevant config parameters
conf={}
conf['model'] = "climate2_2015_7.txt.2gram.small.model" # default dummy model
#conf['model'] = "climate2_2015_7.txt.2gram.mod... | 30.944444 | 120 | 0.666667 | #!/usr/bin/python
# you need to config this!
# set the model file, and if the model supports big-grams: set seed with bigrams..
## the conf dict stores all relevant config parameters
conf={}
conf['model'] = "climate2_2015_7.txt.2gram.small.model" # default dummy model
#conf['model'] = "climate2_2015_7.txt.2gram.mod... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
cb474b9a1b131517c08f3fdabe8b41a8937618ae | 1,726 | py | Python | app/api/resources.py | XIN-TU/easySpike | 727a37e4c88f640427a1c30f80bd0fead8427566 | [
"MIT"
] | null | null | null | app/api/resources.py | XIN-TU/easySpike | 727a37e4c88f640427a1c30f80bd0fead8427566 | [
"MIT"
] | null | null | null | app/api/resources.py | XIN-TU/easySpike | 727a37e4c88f640427a1c30f80bd0fead8427566 | [
"MIT"
] | null | null | null | """
REST API Resource Routing
http://flask-restplus.readthedocs.io
"""
# this is the example hardcode test
| 24.657143 | 61 | 0.673233 | """
REST API Resource Routing
http://flask-restplus.readthedocs.io
"""
from datetime import datetime
from flask import request
from flask_restplus import Resource
from .security import require_auth
from . import api_rest
from .func import *
from .engine import * # wildcard import the TTDS lib
class SecureResou... | 0 | 1,138 | 0 | 106 | 0 | 0 | 0 | 38 | 330 |
ed0ad42fc1a7ca3834303f1c38e3ba12b01a27a1 | 3,470 | py | Python | Simple Calc-Tkinter.py | sachinkatageri/Tkinter-Simple-calculator | a5ba889da12f34d2575ce5375cd9829ce2c538eb | [
"Apache-2.0"
] | null | null | null | Simple Calc-Tkinter.py | sachinkatageri/Tkinter-Simple-calculator | a5ba889da12f34d2575ce5375cd9829ce2c538eb | [
"Apache-2.0"
] | null | null | null | Simple Calc-Tkinter.py | sachinkatageri/Tkinter-Simple-calculator | a5ba889da12f34d2575ce5375cd9829ce2c538eb | [
"Apache-2.0"
] | null | null | null | #sachin_katageri
#SKATCODE
me=Tk()
me.geometry("354x460")
me.title("CALCULATOR")
melabel = Label(me,text="CALCULATOR",bg='White',font=("Times",30,'bold'))
melabel.pack(side=TOP)
me.config(background='Dark gray')
textin=StringVar()
operator=""
metext=Entry(me,font=("Courier New",12,'bold'),textvar... | 35.050505 | 119 | 0.663112 | #sachin_katageri
#SKATCODE
from tkinter import*
me=Tk()
me.geometry("354x460")
me.title("CALCULATOR")
melabel = Label(me,text="CALCULATOR",bg='White',font=("Times",30,'bold'))
melabel.pack(side=TOP)
me.config(background='Dark gray')
textin=StringVar()
operator=""
def clickbut(number): #lambda:clickbu... | 0 | 0 | 0 | 0 | 0 | 460 | 0 | -1 | 176 |
41248fa6c1e374694f0ade81b43b48b465184936 | 640 | py | Python | Solver/Sorting.py | bchaiks/3D_Bin_Packing_Heuristics | f8c4ac1ec73f1b94287eb18fdcdff7bea685ec27 | [
"MIT"
] | 1 | 2021-03-17T03:36:58.000Z | 2021-03-17T03:36:58.000Z | Solver/Sorting.py | bchaiks/3D_Bin_Packing_Heuristics | f8c4ac1ec73f1b94287eb18fdcdff7bea685ec27 | [
"MIT"
] | 1 | 2021-03-13T11:36:54.000Z | 2021-03-16T03:42:11.000Z | Solver/Sorting.py | bchaiks/3D_Bin_Packing_Heuristics | f8c4ac1ec73f1b94287eb18fdcdff7bea685ec27 | [
"MIT"
] | 2 | 2020-11-10T15:24:16.000Z | 2021-03-13T05:38:59.000Z |
def SortArrayByArgMinIndex(array,index):
''' MAKE SURE TO SORT BY MOST IMPORTANT INDEX LAST!!! '''
a = array
L = len(a)
for i in range(L):
temp = a[i]
flag = 0
j = 0
while j < i and flag == 0:
if temp[index] < a[j][index]:
a[j+1] = a[j]
a[j] = temp
j += 1
else:
flag = 1
return(a)
| 19.393939 | 58 | 0.61875 | def Randomize(partObjects):
# eventually want to randomize the order
# and re-run the whole thing to get a broader
# picture of the solution space
return(partObjects)
def SortArrayByArgMinIndex(array,index):
''' MAKE SURE TO SORT BY MOST IMPORTANT INDEX LAST!!! '''
a = array
L = len(a)
for i in range(L):
te... | 0 | 0 | 0 | 0 | 0 | 278 | 0 | 0 | 45 |
9f8cd2ddde865984af8946621f65626e1d20b95b | 132 | py | Python | conftest.py | mclellac/connery | d7444a46e023c8f5261d5b462ae970096cfecf0f | [
"EFL-2.0"
] | null | null | null | conftest.py | mclellac/connery | d7444a46e023c8f5261d5b462ae970096cfecf0f | [
"EFL-2.0"
] | null | null | null | conftest.py | mclellac/connery | d7444a46e023c8f5261d5b462ae970096cfecf0f | [
"EFL-2.0"
] | null | null | null | # This file lists files which should be ignored by pytest
collect_ignore = ["setup.py", "connery.py", "connery/modules/ipython.py"]
| 44 | 73 | 0.75 | # This file lists files which should be ignored by pytest
collect_ignore = ["setup.py", "connery.py", "connery/modules/ipython.py"]
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
858037440c5f062f7910b0e62eaa39b16bfb5efd | 252 | py | Python | test/test_nas.py | yngtodd/nas | d2642f8b6910f40daf458504be04ff13869d3a75 | [
"MIT"
] | 6 | 2019-07-05T09:31:12.000Z | 2021-04-28T06:41:09.000Z | test/test_nas.py | yngtodd/nas | d2642f8b6910f40daf458504be04ff13869d3a75 | [
"MIT"
] | 1 | 2020-02-28T01:21:41.000Z | 2020-02-28T01:21:41.000Z | test/test_nas.py | yngtodd/nas | d2642f8b6910f40daf458504be04ff13869d3a75 | [
"MIT"
] | 1 | 2020-08-26T04:31:11.000Z | 2020-08-26T04:31:11.000Z | """
Tests for `nas` module.
"""
| 12.6 | 29 | 0.615079 | """
Tests for `nas` module.
"""
import pytest
from nas import nas
class TestNas(object):
@classmethod
def setup_class(cls):
pass
def test_something(self):
pass
@classmethod
def teardown_class(cls):
pass
| 0 | 63 | 0 | 99 | 0 | 0 | 0 | -10 | 67 |
f8cda25e292e2fc1ec31f3eab7e56ffb77666b19 | 927 | py | Python | za/fileToC/test.py | hth945/pytest | 83e2aada82a2c6a0fdd1721320e5bf8b8fd59abc | [
"Apache-2.0"
] | null | null | null | za/fileToC/test.py | hth945/pytest | 83e2aada82a2c6a0fdd1721320e5bf8b8fd59abc | [
"Apache-2.0"
] | null | null | null | za/fileToC/test.py | hth945/pytest | 83e2aada82a2c6a0fdd1721320e5bf8b8fd59abc | [
"Apache-2.0"
] | null | null | null | #%%
# IN_FILE = 'test.ncm'
# OUT_FILE = IN_FILE.split('.')[0]
fileToC('up5.html','htmlData')
# %%
| 22.071429 | 80 | 0.536138 | #%%
import os
# IN_FILE = 'test.ncm'
# OUT_FILE = IN_FILE.split('.')[0]
def fileToC(in_file, out_file):
# 1 head and open
IN_FILE=in_file
OUT_FILE=out_file
try:
in_file = open(IN_FILE, 'rb')
except Exception as e:
print(e)
return
out_file = open(OUT_FILE+'.c', 'w')
... | 0 | 0 | 0 | 0 | 0 | 793 | 0 | -12 | 45 |
010fc7a46411fd1fb19a7627a5c1ef23cb23efba | 38,007 | py | Python | model.py | Yan98/S2FGAN | 14405875c0182735afa053ae4d8c67cebd1a6ab2 | [
"MIT"
] | 6 | 2020-12-08T13:08:08.000Z | 2021-12-06T05:04:48.000Z | model.py | Yan98/S2FGAN | 14405875c0182735afa053ae4d8c67cebd1a6ab2 | [
"MIT"
] | 1 | 2021-04-12T11:43:28.000Z | 2021-10-31T23:59:40.000Z | model.py | Yan98/S2FGAN | 14405875c0182735afa053ae4d8c67cebd1a6ab2 | [
"MIT"
] | 1 | 2021-11-04T00:28:47.000Z | 2021-11-04T00:28:47.000Z | """
This module is the concrete implementation of S2FGAN.
This module structure is following:
make_kernel is used to intialise the kernel for blurring image
Blur, a layer used to apply blur kerbel to input
PixelNorm, a layer used to apply pixel normalization
EqualConv1d, convolution 1d with equalized le... | 34.086996 | 269 | 0.527876 | """
This module is the concrete implementation of S2FGAN.
This module structure is following:
make_kernel is used to intialise the kernel for blurring image
Blur, a layer used to apply blur kerbel to input
PixelNorm, a layer used to apply pixel normalization
EqualConv1d, convolution 1d with equalized le... | 0 | 161 | 0 | 34,645 | 0 | 627 | 0 | 83 | 875 |
5a1d2a0240e421bf1d94e403e1e15b300f595f14 | 21,266 | py | Python | site-packages/jedi/evaluate/finder.py | oz90210/Pyto | 59f185149b71e57e5debeb1c9a61a28739e81720 | [
"MIT"
] | null | null | null | site-packages/jedi/evaluate/finder.py | oz90210/Pyto | 59f185149b71e57e5debeb1c9a61a28739e81720 | [
"MIT"
] | 1 | 2020-04-25T20:36:07.000Z | 2020-04-25T20:36:07.000Z | site-packages/jedi/evaluate/finder.py | Wristlebane/Pyto | 901ac307b68486d8289105c159ca702318bea5b0 | [
"MIT"
] | null | null | null | #\input texinfo
"""
Searching for names with given scope and name. This is very central in Jedi and
Python. The name resolution is quite complicated with descripter,
``__getattribute__``, ``__getattr__``, ``global``, etc.
Flow checks
+++++++++++
Flow checks are not really mature. There's only a check for ``isinstanc... | 38.665455 | 114 | 0.622402 | #\input texinfo
"""
Searching for names with given scope and name. This is very central in Jedi and
Python. The name resolution is quite complicated with descripter,
``__getattribute__``, ``__getattr__``, ``global``, etc.
Flow checks
+++++++++++
Flow checks are not really mature. There's only a check for ``isinstanc... | 0 | 2,950 | 0 | 6,824 | 2,549 | 2,951 | 0 | 160 | 380 |
c7a0017098f53e1aca17da21cef0ed3d90134016 | 4,135 | py | Python | tools/generate-polls/generator/ansi_x931_aes128.py | pingjuiliao/cb-multios | 64ededd0b87030eda7c40c4388a4ad8283712d8e | [
"MIT"
] | 473 | 2016-08-01T12:48:16.000Z | 2022-03-09T18:13:14.000Z | tools/generate-polls/generator/ansi_x931_aes128.py | pingjuiliao/cb-multios | 64ededd0b87030eda7c40c4388a4ad8283712d8e | [
"MIT"
] | 71 | 2016-08-01T03:33:44.000Z | 2022-03-09T18:37:04.000Z | tools/generate-polls/generator/ansi_x931_aes128.py | pingjuiliao/cb-multios | 64ededd0b87030eda7c40c4388a4ad8283712d8e | [
"MIT"
] | 121 | 2016-08-01T04:07:53.000Z | 2022-03-07T11:08:09.000Z | #!/usr/bin/env python
"""
A Python implementation of ANSI X9.31 using AES 128, following:
http://csrc.nist.gov/groups/STM/cavp/documents/rng/931rngext.pdf
Copyright (C) 2015 - Brian Caswell <bmc@lungetech.com>
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associat... | 30.858209 | 104 | 0.62636 | #!/usr/bin/env python
"""
A Python implementation of ANSI X9.31 using AES 128, following:
http://csrc.nist.gov/groups/STM/cavp/documents/rng/931rngext.pdf
Copyright (C) 2015 - Brian Caswell <bmc@lungetech.com>
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associat... | 0 | 299 | 0 | 2,508 | 0 | 0 | 0 | 8 | 45 |
be16679000ce269e3f1016e7c63e3ecfdfb22cef | 2,061 | py | Python | Python/data_structure/segment_tree.py | NatsubiSogan/comp_library | 9f06d947951db40e051bd506fd8722fb75c3688b | [
"Apache-2.0"
] | 2 | 2021-09-05T13:17:01.000Z | 2021-09-05T13:17:06.000Z | Python/data_structure/segment_tree.py | NatsubiSogan/comp_library | 9f06d947951db40e051bd506fd8722fb75c3688b | [
"Apache-2.0"
] | null | null | null | Python/data_structure/segment_tree.py | NatsubiSogan/comp_library | 9f06d947951db40e051bd506fd8722fb75c3688b | [
"Apache-2.0"
] | null | null | null |
# Segment Tree | 22.9 | 84 | 0.534692 | import typing
# Segment Tree
class SegmentTree:
def __init__(
self,
lis: list,
ele: typing.Any,
op: typing.Callable[[typing.Any, typing.Any], typing.Any]) -> None:
self.n = len(lis)
self.log = (self.n - 1).bit_length()
self.size = 1 << self.log
self.op = op
self.ele = ele
self.tree = self._... | 0 | 0 | 0 | 2,010 | 0 | 0 | 0 | -8 | 44 |
64c47b1f89956e061ac9631658410771a007f9cf | 495 | py | Python | S1/Q1.py | grharon/HFD | a6abca134f7a3d6766962eb89ab9e33125dab662 | [
"CC0-1.0"
] | null | null | null | S1/Q1.py | grharon/HFD | a6abca134f7a3d6766962eb89ab9e33125dab662 | [
"CC0-1.0"
] | null | null | null | S1/Q1.py | grharon/HFD | a6abca134f7a3d6766962eb89ab9e33125dab662 | [
"CC0-1.0"
] | null | null | null |
number = 100
factorialnumber = factorial(number)
print(f"Factorial({number}) = {factorialnumber}")
sumfactorialnumber = sum_of_digits(factorialnumber)
print(
f"Sum of digits in the factorial number({number}) = {sumfactorialnumber}")
| 23.571429 | 79 | 0.640404 | def factorial(n):
if n == 1 or n == 0:
return 1
else:
return n * factorial(n-1)
def sum_of_digits(n):
sum_of_digits = 0
for digit in str(n):
sum_of_digits += int(digit)
return sum_of_digits
number = 100
factorialnumber = factorial(number)
print(f"Factorial... | 0 | 0 | 0 | 0 | 0 | 198 | 0 | 0 | 48 |
9276cadc1fb3cc5a0610a89dfa0a0b7421b2175c | 20,617 | py | Python | pysnmp-with-texts/HPN-ICF-STACK-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 8 | 2019-05-09T17:04:00.000Z | 2021-06-09T06:50:51.000Z | pysnmp-with-texts/HPN-ICF-STACK-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 4 | 2019-05-31T16:42:59.000Z | 2020-01-31T21:57:17.000Z | pysnmp-with-texts/HPN-ICF-STACK-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module HPN-ICF-STACK-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/HPN-ICF-STACK-MIB
# Produced by pysmi-0.3.4 at Wed May 1 13:41:29 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Ma... | 156.189394 | 1,999 | 0.786826 | #
# PySNMP MIB module HPN-ICF-STACK-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/HPN-ICF-STACK-MIB
# Produced by pysmi-0.3.4 at Wed May 1 13:41:29 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Ma... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ddc6fba39e2884441d6015cadffdc8b157512ecc | 25,625 | py | Python | hwrt/features.py | MartinThoma/hwrt | 7b274fa3022292bb1215eaec99f1826f64f98a07 | [
"MIT"
] | 65 | 2015-04-08T12:11:22.000Z | 2022-02-28T23:46:53.000Z | hwrt/features.py | MartinThoma/hwrt | 7b274fa3022292bb1215eaec99f1826f64f98a07 | [
"MIT"
] | 35 | 2015-01-05T11:56:30.000Z | 2022-03-12T00:55:38.000Z | hwrt/features.py | MartinThoma/hwrt | 7b274fa3022292bb1215eaec99f1826f64f98a07 | [
"MIT"
] | 18 | 2015-01-19T15:57:25.000Z | 2021-02-15T20:38:32.000Z | """
Feature extraction algorithms.
Each algorithm works on the HandwrittenData class. They have to be applied like
this:
>>> import hwrt.features
>>> from hwrt.handwritten_data import HandwrittenData
>>> data_json = '[[{"time": 123, "x": 45, "y": 67}]]'
>>> a = HandwrittenData(raw_data_id=2953, raw_data_json=data_jso... | 31.557882 | 88 | 0.554302 | """
Feature extraction algorithms.
Each algorithm works on the HandwrittenData class. They have to be applied like
this:
>>> import hwrt.features
>>> from hwrt.handwritten_data import HandwrittenData
>>> data_json = '[[{"time": 123, "x": 45, "y": 67}]]'
>>> a = HandwrittenData(raw_data_id=2953, raw_data_json=data_jso... | 0 | 371 | 0 | 21,984 | 0 | 0 | 0 | 83 | 433 |
8a62813cebb672de3944eea8a62b8afb8631e71b | 1,553 | py | Python | pinguin/views.py | OpenHackC4H/2017-Gothenburg-Pinguin | aac60014973e130977f3ef9a78b41b67a13cc527 | [
"MIT"
] | 1 | 2018-05-05T18:25:47.000Z | 2018-05-05T18:25:47.000Z | pinguin/views.py | OpenHackC4H/2017-Gothenburg-Pinguin | aac60014973e130977f3ef9a78b41b67a13cc527 | [
"MIT"
] | null | null | null | pinguin/views.py | OpenHackC4H/2017-Gothenburg-Pinguin | aac60014973e130977f3ef9a78b41b67a13cc527 | [
"MIT"
] | null | null | null | from .data_collection.collect_data import CollectData
debug = False
if(debug):
apa = CollectData() | 36.97619 | 98 | 0.777849 | from rest_framework import permissions, viewsets, generics, filters
from .serializers import JobsSerializer, HousingSerializer, ApplicantSerializer, HeatmapSerializer
from .models import Jobs, Housing, Applicant, Heatmap
from .data_collection.collect_data import CollectData
from django.shortcuts import render
debug... | 0 | 0 | 0 | 1,027 | 0 | 47 | 0 | 169 | 206 |
130e54d3a59f85155c18c48d82dfb5f339ff8926 | 5,222 | py | Python | app/recipe/views.py | mydjangoprojects/recipe-mpa | bb36b3f488fcce3292be2f23e4201c1286fe113c | [
"MIT"
] | null | null | null | app/recipe/views.py | mydjangoprojects/recipe-mpa | bb36b3f488fcce3292be2f23e4201c1286fe113c | [
"MIT"
] | null | null | null | app/recipe/views.py | mydjangoprojects/recipe-mpa | bb36b3f488fcce3292be2f23e4201c1286fe113c | [
"MIT"
] | null | null | null |
##############
# Tag Mixins #
##############
#############
# Tag Views #
#############
#####################
# Ingredient Mixins #
#####################
####################
# Ingredient Views #
####################
#################
# Recipe Mixins #
#################
################
# Recipe View... | 27.484211 | 78 | 0.684795 | from django.views.generic import DetailView
from django.contrib.auth.mixins import LoginRequiredMixin, UserPassesTestMixin
from django.views.generic.edit import CreateView, UpdateView, DeleteView
from django.urls import reverse_lazy
from core.views import PaginatedListView
from .models import Tag, Ingredient, Recipe
... | 0 | 0 | 0 | 3,997 | 0 | 0 | 0 | 266 | 614 |
2143068b1ccbc1e5fe085bbcd5a31d3a3cfd047d | 199 | py | Python | paranuara/companies/apps.py | SPLAYER-HD/Paranuara | 5a42f23d761e16e3b486ba04d9185551614f06a5 | [
"MIT"
] | null | null | null | paranuara/companies/apps.py | SPLAYER-HD/Paranuara | 5a42f23d761e16e3b486ba04d9185551614f06a5 | [
"MIT"
] | 4 | 2021-06-08T20:53:43.000Z | 2022-03-12T00:13:51.000Z | paranuara/companies/apps.py | SPLAYER-HD/RestServiceDjango | 5a42f23d761e16e3b486ba04d9185551614f06a5 | [
"MIT"
] | null | null | null | """Companies app"""
# Django
| 16.583333 | 36 | 0.703518 | """Companies app"""
# Django
from django.apps import AppConfig
class CompaniesAppConfig(AppConfig):
"""Companies app config"""
name = "paranuara.companies"
verbose_name = 'Companies'
| 0 | 0 | 0 | 111 | 0 | 0 | 0 | 12 | 45 |
80f9effd20d0ca021438532f79cd34779410673a | 210 | py | Python | examples/slots_simple.py | BarnabasSzabolcs/pyquasargui | 0ac684094c5a87dbb1a3ed1ff83f33c603d97e5a | [
"MIT"
] | 2 | 2021-09-06T20:23:43.000Z | 2022-02-02T18:24:35.000Z | examples/slots_simple.py | BarnabasSzabolcs/pyquasargui | 0ac684094c5a87dbb1a3ed1ff83f33c603d97e5a | [
"MIT"
] | 1 | 2022-02-27T01:19:14.000Z | 2022-02-27T01:19:14.000Z | examples/slots_simple.py | BarnabasSzabolcs/pyquasargui | 0ac684094c5a87dbb1a3ed1ff83f33c603d97e5a | [
"MIT"
] | null | null | null |
layout = QInput(
classes='q-ma-lg',
label='Your city',
children=[
Slot('prepend', [
QIcon('place')
])
])
run(layout, title='slots example')
| 16.153846 | 34 | 0.528571 | from quasargui import *
layout = QInput(
classes='q-ma-lg',
label='Your city',
children=[
Slot('prepend', [
QIcon('place')
])
])
run(layout, title='slots example')
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 22 |
7cd31469139c7761ef44fc5874f8112465fade84 | 4,716 | py | Python | torchvision/prototype/datasets/_builtin/pcam.py | yassineAlouini/vision-1 | ee26e9c260a255e2afb5e691e713349529170c8b | [
"BSD-3-Clause"
] | 1 | 2022-02-14T09:16:02.000Z | 2022-02-14T09:16:02.000Z | torchvision/prototype/datasets/_builtin/pcam.py | yassineAlouini/vision-1 | ee26e9c260a255e2afb5e691e713349529170c8b | [
"BSD-3-Clause"
] | null | null | null | torchvision/prototype/datasets/_builtin/pcam.py | yassineAlouini/vision-1 | ee26e9c260a255e2afb5e691e713349529170c8b | [
"BSD-3-Clause"
] | null | null | null | from collections import namedtuple
NAME = "pcam"
_Resource = namedtuple("_Resource", ("file_name", "gdrive_id", "sha256"))
| 35.19403 | 105 | 0.638465 | import io
import pathlib
from collections import namedtuple
from typing import Any, Dict, List, Optional, Tuple, Iterator, Union
from torchdata.datapipes.iter import IterDataPipe, Mapper, Zipper
from torchvision.prototype import features
from torchvision.prototype.datasets.utils import (
Dataset,
OnlineResourc... | 0 | 3,429 | 0 | 575 | 0 | 0 | 0 | 313 | 269 |
237cf432cb2a9b8f4203ddc700aff3c83f06d064 | 1,302 | py | Python | deploy/run.py | dato-code/Strata-Now | 995ed8851275996ea82131bf6e3d05131c620f60 | [
"BSD-3-Clause"
] | 4 | 2015-05-05T16:05:35.000Z | 2016-05-19T21:02:25.000Z | deploy/run.py | turi-code/Strata-Now | 995ed8851275996ea82131bf6e3d05131c620f60 | [
"BSD-3-Clause"
] | 1 | 2015-10-07T18:59:39.000Z | 2015-10-07T18:59:39.000Z | deploy/run.py | dato-code/Strata-Now | 995ed8851275996ea82131bf6e3d05131c620f60 | [
"BSD-3-Clause"
] | 6 | 2015-05-05T02:11:07.000Z | 2016-05-16T19:24:22.000Z | import graphlab as gl
path = "s3://gl-demo-usw2/predictive_service/demolab/ps-1.6"
ps = gl.deploy.predictive_service.load(path)
# Define dependencies
state = {'details_filename': '../data/talks.json',
'speakers_filename': '../data/speakers.json',
'details_sf': '../data/talks.gl',
'speakers... | 33.384615 | 191 | 0.704301 | import graphlab as gl
from models import *
path = "s3://gl-demo-usw2/predictive_service/demolab/ps-1.6"
ps = gl.deploy.predictive_service.load(path)
# Define dependencies
state = {'details_filename': '../data/talks.json',
'speakers_filename': '../data/speakers.json',
'details_sf': '../data/talks.g... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 |
602796473f89d9acc225140c9078f5ec9c51d423 | 7,892 | py | Python | fuzzylogic.py | bydzen/fuzzy-logic-sc | ccbff1a34bb19048f540244aafd38197cc12318d | [
"MIT"
] | 1 | 2021-08-22T13:52:52.000Z | 2021-08-22T13:52:52.000Z | fuzzylogic.py | bydzen/fuzzy-logic-sc | ccbff1a34bb19048f540244aafd38197cc12318d | [
"MIT"
] | null | null | null | fuzzylogic.py | bydzen/fuzzy-logic-sc | ccbff1a34bb19048f540244aafd38197cc12318d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import pandas as pd
import matplotlib.pyplot as plt
#!gdown --id 1bb2irg5nFZhoFkpjWPQHJPBBr8FiK8l7
dataRestoran = pd.read_excel('restoran.xlsx')
print(dataRestoran)
# akan menghasilkan nilai kelayakan yang lebih bervariasi
titikPelayanan = [25, 37, 58, 65, 78, 89, 101]
titikMakanan = [3, 5, 8... | 30.94902 | 86 | 0.593512 | # -*- coding: utf-8 -*-
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import xlwt
#!gdown --id 1bb2irg5nFZhoFkpjWPQHJPBBr8FiK8l7
dataRestoran = pd.read_excel('restoran.xlsx')
print(dataRestoran)
# akan menghasilkan nilai kelayakan yang lebih bervariasi
titikPelayanan = [25, 37, 58, 65, 78, 8... | 0 | 0 | 0 | 0 | 0 | 5,765 | 0 | -13 | 274 |
deb1cc2b3769ab3932370a34f4aedc4d58995c77 | 866 | py | Python | src/circuitsascode/__init__.py | devbisme/circuitsascode | 497ac4650b0da8d65f4b22eceefe918b66f915b4 | [
"MIT"
] | 3 | 2021-08-28T15:02:53.000Z | 2022-01-17T21:43:31.000Z | src/circuitsascode/__init__.py | devbisme/circuitsascode | 497ac4650b0da8d65f4b22eceefe918b66f915b4 | [
"MIT"
] | null | null | null | src/circuitsascode/__init__.py | devbisme/circuitsascode | 497ac4650b0da8d65f4b22eceefe918b66f915b4 | [
"MIT"
] | null | null | null | # The MIT License (MIT) - Copyright (c) 2021 xesscorp
"""
Categorized collections of circuits.
"""
import sys
import pint
# Create a shortcut name for "circuitsascode".
sys.modules["casc"] = sys.modules["circuitsascode"]
# For electrical units like ohms, volts, etc.
units = pint.UnitRegistry()
if sys.version_info... | 27.935484 | 85 | 0.732102 | # The MIT License (MIT) - Copyright (c) 2021 xesscorp
"""
Categorized collections of circuits.
"""
import sys
import pint
# Create a shortcut name for "circuitsascode".
sys.modules["casc"] = sys.modules["circuitsascode"]
# For electrical units like ohms, volts, etc.
units = pint.UnitRegistry()
if sys.version_info... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
59e413e90db4fea7b7d53b3bfbe74dbdf3fef42a | 8,095 | py | Python | electrical_simulation/versuch_versuch.py | architecture-building-systems/bipv-tool | 3ae73a541754e5215dfd39ef837d72f4b80ef967 | [
"MIT"
] | 4 | 2019-02-18T14:10:49.000Z | 2021-04-23T09:03:13.000Z | electrical_simulation/versuch_versuch.py | architecture-building-systems/bipv-tool | 3ae73a541754e5215dfd39ef837d72f4b80ef967 | [
"MIT"
] | 1 | 2018-08-16T13:27:15.000Z | 2018-08-16T13:27:16.000Z | electrical_simulation/versuch_versuch.py | architecture-building-systems/bipv-tool | 3ae73a541754e5215dfd39ef837d72f4b80ef967 | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
import json
import datetime
import miasole_module_two as ps
import pvlib.pvsystem as pvsyst
#import shaded_miasole as ps
import interconnection as connect
import matplotlib.pyplot as plt
def align_yaxis(ax1, v1, ax2, v2):
"""adjust ax2 ylimit so that v2 in ax2 is aligned to... | 43.994565 | 152 | 0.664484 | import pandas as pd
import numpy as np
import json
import datetime
import miasole_module_two as ps
import pvlib.pvsystem as pvsyst
#import shaded_miasole as ps
import interconnection as connect
import matplotlib.pyplot as plt
def get_irradiation_value(path, time, sensor_name):
time = time.replace(second=0)
ir... | 0 | 0 | 0 | 0 | 0 | 2,901 | 0 | 0 | 160 |
d49cc9d9d750d1b39deda00590557e916ce04222 | 1,231 | py | Python | venv/lib/python3.6/site-packages/zmq/sugar/version.py | paxthree/life-dashboard | 8c65857d1102331b1e913d8800c61af1f61d9532 | [
"CC0-1.0"
] | null | null | null | venv/lib/python3.6/site-packages/zmq/sugar/version.py | paxthree/life-dashboard | 8c65857d1102331b1e913d8800c61af1f61d9532 | [
"CC0-1.0"
] | 19 | 2020-01-28T21:41:50.000Z | 2022-03-11T23:17:39.000Z | thunau/lib/python3.6/site-packages/zmq/sugar/version.py | karlburkhart/thunau | 900dca0259b30a229cd84f6315a7da9be94cb355 | [
"MIT"
] | 1 | 2018-09-19T05:55:27.000Z | 2018-09-19T05:55:27.000Z | """PyZMQ and 0MQ version functions."""
# Copyright (C) PyZMQ Developers
# Distributed under the terms of the Modified BSD License.
from zmq.backend import zmq_version_info
VERSION_MAJOR = 16
VERSION_MINOR = 0
VERSION_PATCH = 4
VERSION_EXTRA = ""
__version__ = '%i.%i.%i' % (VERSION_MAJOR, VERSION_MINOR, VERSION_PAT... | 25.122449 | 86 | 0.692933 | """PyZMQ and 0MQ version functions."""
# Copyright (C) PyZMQ Developers
# Distributed under the terms of the Modified BSD License.
from zmq.backend import zmq_version_info
VERSION_MAJOR = 16
VERSION_MINOR = 0
VERSION_PATCH = 4
VERSION_EXTRA = ""
__version__ = '%i.%i.%i' % (VERSION_MAJOR, VERSION_MINOR, VERSION_PAT... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4300d28866dc3941f3120411372fade12a422e39 | 3,846 | py | Python | penguin_random_house/parse_scripts/books.py | EvgenyTsydenov/book_recommender | bfbbed52907f979a6ba404f9d1f2ff8cfe142aff | [
"MIT"
] | null | null | null | penguin_random_house/parse_scripts/books.py | EvgenyTsydenov/book_recommender | bfbbed52907f979a6ba404f9d1f2ff8cfe142aff | [
"MIT"
] | null | null | null | penguin_random_house/parse_scripts/books.py | EvgenyTsydenov/book_recommender | bfbbed52907f979a6ba404f9d1f2ff8cfe142aff | [
"MIT"
] | null | null | null | import json
import os
from tqdm import tqdm
def parse_book(book_data: dict) -> dict:
"""Parse book core data."""
info = {}
for param in ['isbn', 'title', 'onsale', 'price',
'language', 'pages', 'publisher']:
info[param] = book_data.get(param)
info['cover'] = f'https://images... | 32.05 | 75 | 0.568903 | import json
import os
from tqdm import tqdm
def parse_book(book_data: dict) -> dict:
"""Parse book core data."""
info = {}
for param in ['isbn', 'title', 'onsale', 'price',
'language', 'pages', 'publisher']:
info[param] = book_data.get(param)
info['cover'] = f'https://images... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b7d7274c982532facf17dec2970f658f11cf429a | 3,502 | py | Python | scripts/parse_proto.py | JustinGanzer/j2objc | feb43475d70a027c96d5e94874003ef65e6ae34b | [
"Apache-2.0"
] | null | null | null | scripts/parse_proto.py | JustinGanzer/j2objc | feb43475d70a027c96d5e94874003ef65e6ae34b | [
"Apache-2.0"
] | null | null | null | scripts/parse_proto.py | JustinGanzer/j2objc | feb43475d70a027c96d5e94874003ef65e6ae34b | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python3
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# dis... | 25.75 | 78 | 0.658195 | #!/usr/bin/python3
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# dis... | 0 | 0 | 0 | 288 | 0 | 2,262 | 0 | -25 | 228 |
74d5c07e6a219370de5020bdd900eea843a2ba4f | 165,553 | py | Python | icbd/compiler/compiler_types.py | kmod/icbd | 9636564eb3993afa07c6220d589bbd1991923d74 | [
"MIT"
] | 7 | 2015-04-06T15:17:13.000Z | 2020-10-21T04:57:00.000Z | icbd/compiler/compiler_types.py | kmod/icbd | 9636564eb3993afa07c6220d589bbd1991923d74 | [
"MIT"
] | null | null | null | icbd/compiler/compiler_types.py | kmod/icbd | 9636564eb3993afa07c6220d589bbd1991923d74 | [
"MIT"
] | 4 | 2016-05-16T17:53:08.000Z | 2020-11-28T17:18:50.000Z | import _ast
import inspect
DEBUG_CHECKS = True
BINOP_MAP = {
_ast.Add:"__add__",
_ast.Sub:"__sub__",
_ast.Mult:"__mul__",
_ast.BitOr:"__or__",
_ast.BitXor:"__xor__",
_ast.BitAnd:'__and__',
_ast.LShift:'__lshift__',
_ast.RShift:'__rshift__',
_ast.... | 41.669519 | 331 | 0.570228 | import _ast
import inspect
import re
import sys
import traceback
from . import closure_analyzer
from .code_emitter import CodeEmitter
DEBUG_CHECKS = True
BINOP_MAP = {
_ast.Add:"__add__",
_ast.Sub:"__sub__",
_ast.Mult:"__mul__",
_ast.BitOr:"__or__",
_ast.BitXor:"__xor__",
... | 0 | 25,801 | 0 | 109,966 | 0 | 19,030 | 0 | -3 | 1,689 |
1df90d6b5a21d880a74025dd9aa1c5f1ebfced00 | 7,715 | py | Python | addons/io_scene_gltf2/io/exp/gltf2_io_get.py | dtysky/glTF-Blender-IO | 5488adce3d496c6db7b2fff121d4fb46962a02b2 | [
"Apache-2.0"
] | null | null | null | addons/io_scene_gltf2/io/exp/gltf2_io_get.py | dtysky/glTF-Blender-IO | 5488adce3d496c6db7b2fff121d4fb46962a02b2 | [
"Apache-2.0"
] | null | null | null | addons/io_scene_gltf2/io/exp/gltf2_io_get.py | dtysky/glTF-Blender-IO | 5488adce3d496c6db7b2fff121d4fb46962a02b2 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2017 The Khronos Group Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | 20.091146 | 114 | 0.6 | # Copyright (c) 2017 The Khronos Group Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 23 |
527d5a647225fe1451d9322370f1d08e468c34af | 696 | py | Python | Src/Web/config.py | 23233/sproxy | b40d6593e3a60ba089484c527de1bc4afc3a2d24 | [
"MIT"
] | 167 | 2019-07-05T13:25:39.000Z | 2020-04-25T11:31:19.000Z | Src/Web/config.py | 23233/sproxy | b40d6593e3a60ba089484c527de1bc4afc3a2d24 | [
"MIT"
] | 10 | 2018-12-11T06:07:37.000Z | 2019-07-03T11:14:36.000Z | Src/Web/config.py | 23233/sproxy | b40d6593e3a60ba089484c527de1bc4afc3a2d24 | [
"MIT"
] | 38 | 2019-07-04T07:50:08.000Z | 2020-04-17T21:05:46.000Z | # Create dummy secrey key so we can use sessions
SECRET_KEY = '1234567890'
# Flask-Security config
SECURITY_URL_PREFIX = "/admin"
SECURITY_PASSWORD_HASH = "pbkdf2_sha256"
SECURITY_PASSWORD_SALT = "ATGUOHAELKiubahiughaerGOJAEGj"
SECURITY_USER_IDENTITY_ATTRIBUTES = ["name"]
# Flask-Security URLs, overridden because th... | 30.26087 | 71 | 0.804598 | # Create dummy secrey key so we can use sessions
SECRET_KEY = '1234567890'
# Flask-Security config
SECURITY_URL_PREFIX = "/admin"
SECURITY_PASSWORD_HASH = "pbkdf2_sha256"
SECURITY_PASSWORD_SALT = "ATGUOHAELKiubahiughaerGOJAEGj"
SECURITY_USER_IDENTITY_ATTRIBUTES = ["name"]
# Flask-Security URLs, overridden because th... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
813d0a9cf8930b06ac9932bbfc5b272617c5c4ac | 3,785 | py | Python | homeassistant/components/mobile_app/websocket_api.py | jeanfpoulin/home-assistant | 04dbe5bc841e1a429873efbd850c35b823ef26ce | [
"Apache-2.0"
] | 3 | 2020-05-18T10:18:16.000Z | 2020-12-08T11:27:55.000Z | homeassistant/components/mobile_app/websocket_api.py | jeanfpoulin/home-assistant | 04dbe5bc841e1a429873efbd850c35b823ef26ce | [
"Apache-2.0"
] | 3 | 2021-02-08T20:54:46.000Z | 2021-09-08T02:30:04.000Z | homeassistant/components/mobile_app/websocket_api.py | jeanfpoulin/home-assistant | 04dbe5bc841e1a429873efbd850c35b823ef26ce | [
"Apache-2.0"
] | 6 | 2020-04-10T06:21:11.000Z | 2021-07-01T08:53:38.000Z | """Websocket API for mobile_app."""
from homeassistant.components.websocket_api import (async_register_command)
from homeassistant.helpers.typing import HomeAssistantType
def register_websocket_handlers(hass: HomeAssistantType) -> bool:
"""Register the websocket handlers."""
async_register_command(hass, webso... | 30.772358 | 88 | 0.732893 | """Websocket API for mobile_app."""
import voluptuous as vol
from homeassistant.components.cloud import async_delete_cloudhook
from homeassistant.components.websocket_api import (
ActiveConnection,
async_register_command,
async_response,
error_message,
result_message,
websocket_command,
ws_... | 0 | 2,599 | 0 | 0 | 0 | 0 | 0 | 529 | 224 |
fba6df107748d61010973df91014413655aef5fb | 4,000 | py | Python | test_locks.py | zbentley/amqp-locks-python | 7da8e941fff752bde1f1fd56caa51810fdac7577 | [
"MIT"
] | null | null | null | test_locks.py | zbentley/amqp-locks-python | 7da8e941fff752bde1f1fd56caa51810fdac7577 | [
"MIT"
] | null | null | null | test_locks.py | zbentley/amqp-locks-python | 7da8e941fff752bde1f1fd56caa51810fdac7577 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import sys
sys.path.append("lib")
# http://www.huyng.com/posts/python-performance-analysis/
parse_and_dispatch(sys.argv[1:])
| 29.411765 | 101 | 0.62375 | #!/usr/bin/env python3
import pika
import time
import sys
import argparse
sys.path.append("lib")
from rabbitlock.mutex import Mutex
from rabbitlock.semaphore import Semaphore
def positive_float(value):
retval = float(value)
if retval < 0:
raise argparse.ArgumentTypeError("%s not a positive float" % ... | 0 | 0 | 0 | 382 | 0 | 3,180 | 0 | 8 | 271 |
5b3f69f42eae7163ac1ea43116b8a85cdb9c27b7 | 1,068 | py | Python | django_sourcebook/sourcebook/migrations/0009_auto_20200101_2140.py | maxblee/django_sourcebook | f90ca62cfe43c875a485f783ca1a06be40d9bbc5 | [
"MIT"
] | null | null | null | django_sourcebook/sourcebook/migrations/0009_auto_20200101_2140.py | maxblee/django_sourcebook | f90ca62cfe43c875a485f783ca1a06be40d9bbc5 | [
"MIT"
] | null | null | null | django_sourcebook/sourcebook/migrations/0009_auto_20200101_2140.py | maxblee/django_sourcebook | f90ca62cfe43c875a485f783ca1a06be40d9bbc5 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.1 on 2020-01-02 02:40
| 29.666667 | 78 | 0.495318 | # Generated by Django 3.0.1 on 2020-01-02 02:40
import datetime
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("sourcebook", "0008_foiarequest_time_completed"),
]
operations = [
migrations.AddField(
model_name="story",
... | 0 | 0 | 0 | 938 | 0 | 0 | 0 | 13 | 68 |
0655f1c66e00a9e31b9d920ea6a88703dd4f5793 | 3,688 | py | Python | src/exp_num_query.py | moseslichten/TAFSSL | b236dee4936fe933293ebdd65e48a332a3aacdea | [
"Apache-2.0"
] | 10 | 2020-09-26T07:07:52.000Z | 2021-10-11T12:11:33.000Z | src/exp_num_query.py | moseslichten/TAFSSL | b236dee4936fe933293ebdd65e48a332a3aacdea | [
"Apache-2.0"
] | 1 | 2021-04-16T14:36:28.000Z | 2021-04-16T14:36:28.000Z | src/exp_num_query.py | moseslichten/TAFSSL | b236dee4936fe933293ebdd65e48a332a3aacdea | [
"Apache-2.0"
] | 2 | 2020-09-26T07:00:21.000Z | 2021-08-14T14:12:50.000Z | # --------------------------------------------------------
# TAFSSL
# Copyright (c) 2019 IBM Corp
# Licensed under The Apache-2.0 License [see LICENSE for details]
# --------------------------------------------------------
from utils.misc import get_features
if __name__ == '__main__':
get_features()
n_que... | 32.637168 | 116 | 0.608731 | # --------------------------------------------------------
# TAFSSL
# Copyright (c) 2019 IBM Corp
# Licensed under The Apache-2.0 License [see LICENSE for details]
# --------------------------------------------------------
import numpy as np
from utils.proto_msp import ProtoMSP
import time
import pickle
from utils.mis... | 0 | 0 | 0 | 0 | 0 | 2,929 | 0 | 95 | 313 |
5e9233f492e89e51840f8454bc6abde3f18cbc0a | 3,259 | py | Python | qcommunity/optimization/obj.py | rsln-s/QCommunity | 926c64efc7add34dae5fbab20359ef5b9b4aa420 | [
"Apache-2.0"
] | 2 | 2019-09-05T23:21:49.000Z | 2020-03-10T13:54:32.000Z | qcommunity/optimization/obj.py | rsln-s/QCommunity | 926c64efc7add34dae5fbab20359ef5b9b4aa420 | [
"Apache-2.0"
] | null | null | null | qcommunity/optimization/obj.py | rsln-s/QCommunity | 926c64efc7add34dae5fbab20359ef5b9b4aa420 | [
"Apache-2.0"
] | 1 | 2020-03-10T13:54:34.000Z | 2020-03-10T13:54:34.000Z | #!/usr/bin/env python
# Returns obj_val function to be used in an optimizer
# A better and updated version of qaoa_obj.py
import networkx as nx
import numpy as np
# import matplotlib.pyplot as plt
from networkx.generators.classic import barbell_graph
import copy
import sys
import warnings
import qcommunity.modularit... | 32.267327 | 166 | 0.59865 | #!/usr/bin/env python
# Returns obj_val function to be used in an optimizer
# A better and updated version of qaoa_obj.py
import networkx as nx
import numpy as np
# import matplotlib.pyplot as plt
from networkx.generators.classic import barbell_graph
import copy
import sys
import warnings
import qcommunity.modularit... | 0 | 0 | 0 | 0 | 0 | 1,063 | 0 | 0 | 58 |
5d32eec903f269edde168438b4d81ba0b9cc8d71 | 1,274 | py | Python | tests/test_write.py | reshalfahsi/GGBColorSpace | f56994ffcd6a83762d67705116e690c7a64c9093 | [
"MIT"
] | 1 | 2020-12-06T07:38:08.000Z | 2020-12-06T07:38:08.000Z | tests/test_write.py | reshalfahsi/GGBColorSpace | f56994ffcd6a83762d67705116e690c7a64c9093 | [
"MIT"
] | 1 | 2021-06-19T02:20:02.000Z | 2021-06-19T02:20:02.000Z | tests/test_write.py | reshalfahsi/GGB | f56994ffcd6a83762d67705116e690c7a64c9093 | [
"MIT"
] | 1 | 2021-05-10T04:14:24.000Z | 2021-05-10T04:14:24.000Z | import pytest
if __name__ == '__main__':
pytest.main([__file__])
| 25.48 | 58 | 0.689168 | import cv2
from PIL import Image
import numpy as np
import random
import pytest
from ggb import GGB, CVLib
from ggb.testing import ggb_test
from ggb.testing import get_random_image, get_filled_image
@ggb_test
def test_opencv_write():
w = random.randint(16, 2048)
h = random.randint(16, 2048)
image = get_r... | 0 | 969 | 0 | 0 | 0 | 0 | 0 | 31 | 201 |
092bdfd9880f8cd15ba0d55680a5b605d55352b5 | 9,518 | py | Python | tests/unit/test_marc_writer.py | BookOps-CAT/NightShift | dc106b55cee3ec60c790f71f20e0754506385d59 | [
"MIT"
] | null | null | null | tests/unit/test_marc_writer.py | BookOps-CAT/NightShift | dc106b55cee3ec60c790f71f20e0754506385d59 | [
"MIT"
] | 17 | 2020-12-07T04:43:48.000Z | 2022-03-30T12:44:41.000Z | tests/unit/test_marc_writer.py | BookOps-CAT/NightShift | dc106b55cee3ec60c790f71f20e0754506385d59 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Tests `marc.marc_writer.py` module
"""
| 35.251852 | 109 | 0.560937 | # -*- coding: utf-8 -*-
"""
Tests `marc.marc_writer.py` module
"""
from contextlib import nullcontext as does_not_raise
import logging
import os
import pickle
from pymarc import Field, MARCReader, Record
import pytest
from nightshift import __title__, __version__
from nightshift.datastore import Resource
from nights... | 0 | 3,692 | 0 | 5,441 | 0 | 0 | 0 | 93 | 223 |
db40eccb4e3a9805eb8362b1213257f77b448646 | 590 | py | Python | schedule/migrations/0014_event_status.py | itmagistr/django-scheduler | 14d403b581d6ec5c195f7cd4f1567f6f636d1efb | [
"BSD-3-Clause"
] | null | null | null | schedule/migrations/0014_event_status.py | itmagistr/django-scheduler | 14d403b581d6ec5c195f7cd4f1567f6f636d1efb | [
"BSD-3-Clause"
] | null | null | null | schedule/migrations/0014_event_status.py | itmagistr/django-scheduler | 14d403b581d6ec5c195f7cd4f1567f6f636d1efb | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.13 on 2018-06-02 18:17
from __future__ import unicode_literals
| 28.095238 | 190 | 0.640678 | # -*- coding: utf-8 -*-
# Generated by Django 1.11.13 on 2018-06-02 18:17
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('schedule', '0013_auto_20180424_1145'),
]
operations = [
migrations.AddFiel... | 0 | 0 | 0 | 410 | 0 | 0 | 0 | 19 | 46 |
5f18738c3a2c1e5ce066a636d50938a7b409ce4a | 939 | py | Python | test/wien2k/w2kutils_test.py | minyez/mykit | 911413120c081be2cfcaef06d62dc40b2abd2747 | [
"MIT"
] | 4 | 2019-01-02T09:17:54.000Z | 2019-12-26T07:15:59.000Z | test/wien2k/w2kutils_test.py | minyez/mykit | 911413120c081be2cfcaef06d62dc40b2abd2747 | [
"MIT"
] | 6 | 2019-03-06T03:16:12.000Z | 2019-03-14T14:36:01.000Z | test/wien2k/w2kutils_test.py | minyez/mykit | 911413120c081be2cfcaef06d62dc40b2abd2747 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# coding = utf-8
import unittest as ut
if __name__ == '__main__':
ut.main() | 27.617647 | 102 | 0.683706 | #!/usr/bin/env python3
# coding = utf-8
import os
import unittest as ut
from mykit.wien2k.utils import get_casename, find_complex_file, get_default_r0, get_default_rmt, get_z
class test_get_elements_info(ut.TestCase):
def test_r0(self):
self.assertEqual(get_default_r0('Ne1'), get_default_r0('Ne10'))
... | 0 | 0 | 0 | 673 | 0 | 0 | 0 | 69 | 92 |
6e87c4e4158b3902ea8dc3803de751b0eaa24e67 | 11,586 | py | Python | annotate/annotation/tasks.py | dojo-modeling/dojo | 8abc71790cbb8639a56c89791535b3df59c725ac | [
"MIT"
] | 3 | 2022-01-28T01:43:30.000Z | 2022-02-24T21:42:13.000Z | annotate/annotation/tasks.py | dojo-modeling/dojo | 8abc71790cbb8639a56c89791535b3df59c725ac | [
"MIT"
] | 8 | 2022-01-12T16:39:57.000Z | 2022-01-31T19:05:45.000Z | annotate/annotation/tasks.py | dojo-modeling/dojo | 8abc71790cbb8639a56c89791535b3df59c725ac | [
"MIT"
] | null | null | null | import json
from .rename import rename as rename_function
from django.apps import apps
from django.conf import settings
# Load GADM3 from gadm app
if settings.CACHE_GADM:
gadm3 = apps.get_app_config("gadm").gadm3()
gadm2 = apps.get_app_config("gadm").gadm2()
else:
gadm3 = None
gadm2 = None
def dupe(... | 33.102857 | 175 | 0.566718 | import copy
import json
import logging
import os
import time
from .rename import rename as rename_function
from django.apps import apps
from django.conf import settings
from django_rq import job
from mixmasta import mixmasta as mix
from utils.cache_helper import cache_get
# Load GADM3 from gadm app
if settings.CACHE... | 0 | 2,276 | 0 | 0 | 0 | 3,351 | 0 | -1 | 270 |
f0ff86078deb2aa6845135b2c376566c8a81691f | 1,880 | py | Python | dags/utils/scale_features.py | tiendatscorpy/ETL-pipeline | e3f800596e17e0ac2b32f52ea06a196e477c3414 | [
"MIT"
] | null | null | null | dags/utils/scale_features.py | tiendatscorpy/ETL-pipeline | e3f800596e17e0ac2b32f52ea06a196e477c3414 | [
"MIT"
] | null | null | null | dags/utils/scale_features.py | tiendatscorpy/ETL-pipeline | e3f800596e17e0ac2b32f52ea06a196e477c3414 | [
"MIT"
] | null | null | null | import os, errno
import numpy as np
import os
from sklearn.preprocessing import scale, minmax_scale
import logging
LOGGER = logging.getLogger(__name__)
def scale_features(input_folder: str, output_folder: str, op_conf: str, **kwargs):
"""
input_folder: folder which contains input audio files
output_folde... | 35.471698 | 88 | 0.545745 | import json
import os, errno
from typing import Dict
import numpy as np
import os
from sklearn.preprocessing import scale, minmax_scale
import logging
LOGGER = logging.getLogger(__name__)
def scale_features(input_folder: str, output_folder: str, op_conf: str, **kwargs):
"""
input_folder: folder which contain... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -8 | 44 |
e54f3fcf098da3812b7d4a0e9f85780e8a12a31b | 934 | py | Python | benches/bench_merge.py | crkrenn/distogram | 9701233e46bd9e7528071c3c90600516d06c7f5a | [
"MIT"
] | 16 | 2020-07-12T17:27:46.000Z | 2022-03-22T23:42:24.000Z | benches/bench_merge.py | crkrenn/distogram | 9701233e46bd9e7528071c3c90600516d06c7f5a | [
"MIT"
] | 7 | 2020-06-20T01:43:34.000Z | 2022-02-02T17:41:36.000Z | benches/bench_merge.py | crkrenn/distogram | 9701233e46bd9e7528071c3c90600516d06c7f5a | [
"MIT"
] | 3 | 2020-12-27T07:36:48.000Z | 2021-11-04T18:56:46.000Z |
if __name__ == '__main__':
bench_merge()
| 21.227273 | 56 | 0.591006 | import time
from functools import reduce
import distogram
import utils
def bench_merge():
num_samples = 10
num_points = 100_000
values_list = [
utils.create_values(mean, 0.3, num_points)
for mean in range(num_samples)
]
times_dict: utils.TimesDict = {num_points: dict()}
for ... | 0 | 0 | 0 | 0 | 0 | 791 | 0 | -17 | 112 |
094ba497e8b98cc0b00f380b8d7c8ff4348b9eb1 | 1,210 | py | Python | Chapter14/r2_paths_auth/my_library/models/sample_auth_http.py | a17juanbl/exercicios | 8df4bdf232207fcbc8f1308d1937ee599c1b39d4 | [
"MIT"
] | 125 | 2020-11-28T18:00:34.000Z | 2022-03-07T17:53:22.000Z | Chapter14/r2_paths_auth/my_library/models/sample_auth_http.py | a17juanbl/exercicios | 8df4bdf232207fcbc8f1308d1937ee599c1b39d4 | [
"MIT"
] | 5 | 2021-02-02T10:03:29.000Z | 2022-03-16T07:32:28.000Z | Chapter14/r2_paths_auth/my_library/models/sample_auth_http.py | a17juanbl/exercicios | 8df4bdf232207fcbc8f1308d1937ee599c1b39d4 | [
"MIT"
] | 182 | 2020-11-29T12:07:07.000Z | 2022-03-22T04:27:51.000Z | # -*- coding: utf-8 -*-
# /!\/!\/!\/!\/!\/!\/!\/!\
# Note that this is just a sample code
# You need to add this file in __init__.py
# /!\/!\/!\/!\/!\/!\/!\/!\
| 28.139535 | 72 | 0.623967 | # -*- coding: utf-8 -*-
# /!\/!\/!\/!\/!\/!\/!\/!\
# Note that this is just a sample code
# You need to add this file in __init__.py
# /!\/!\/!\/!\/!\/!\/!\/!\
from odoo import exceptions, models
from odoo.http import request
class IrHttp(models.AbstractModel):
_inherit = 'ir.http'
@classmethod
def _a... | 0 | 688 | 0 | 270 | 0 | 0 | 0 | 22 | 68 |
6d5634d1807e48c38dd5968a7d8b0e5bd2f87b3d | 817 | py | Python | pypy/iterator_generator_coroutine/first_of_all/2_generator.py | DowsonJones/test_test | 9f941b20de42090e6ec9b449953ce1dae405ef73 | [
"MIT"
] | 1 | 2020-03-30T07:13:08.000Z | 2020-03-30T07:13:08.000Z | pypy/iterator_generator_coroutine/first_of_all/2_generator.py | DowsonJones/test_test | 9f941b20de42090e6ec9b449953ce1dae405ef73 | [
"MIT"
] | null | null | null | pypy/iterator_generator_coroutine/first_of_all/2_generator.py | DowsonJones/test_test | 9f941b20de42090e6ec9b449953ce1dae405ef73 | [
"MIT"
] | null | null | null |
F = fib(10) #
# print(next(F))
for i in F:
print(i)
"""
yield:
1. -,
2. yield,
"""
# yield
if __name__ == '__main__':
main()
| 15.12963 | 42 | 0.49694 | def fib(n):
print('进入')
current = 0
num1, num2 = 0, 1
while current < n:
num = num1
num1, num2 = num2, num2 + num1
current += 1
yield num
return 'done'
F = fib(10) # 运行到这里没有任何反映
# print(next(F))
for i in F:
print(i)
"""
yield:
1. 保存运行状态-断点... | 156 | 0 | 0 | 0 | 371 | 116 | 0 | -10 | 121 |
5783c68228392e653ee096d49b29e66e2ac5a022 | 1,563 | py | Python | lib/opticalflow.py | hanebarla/CrowdCounting-using-PedestrianFlow | 0f7c196a8b396d92901172a334ecf0256f30ff8a | [
"MIT"
] | null | null | null | lib/opticalflow.py | hanebarla/CrowdCounting-using-PedestrianFlow | 0f7c196a8b396d92901172a334ecf0256f30ff8a | [
"MIT"
] | null | null | null | lib/opticalflow.py | hanebarla/CrowdCounting-using-PedestrianFlow | 0f7c196a8b396d92901172a334ecf0256f30ff8a | [
"MIT"
] | null | null | null | import os
import json
import cv2
import numpy as np
if __name__ == "__main__":
# json file contains the test images
test_json_path = './test.json'
# the folder to output density map and flow maps
output_folder = './plot'
with open(test_json_path, 'r') as outfile:
img_paths = json.load(ou... | 27.910714 | 86 | 0.632118 | import os
import json
import cv2
import numpy as np
import matplotlib.pyplot as plt
import torch
def OptFlow(c_prev_img, c_img):
prev_img = cv2.cvtColor(c_prev_img, cv2.COLOR_BGR2GRAY)
img = cv2.cvtColor(c_img, cv2.COLOR_BGR2GRAY)
hsv = np.zeros_like(c_img)
hsv[..., 1] = 255
flow = cv2.calcOptica... | 0 | 0 | 0 | 0 | 0 | 445 | 0 | 1 | 67 |
d367c19a7c2a7b23b387887269c0b45058aff294 | 6,978 | py | Python | fairseq/models/nat/old/latent/predictor_module.py | wangqi1996/cmlm | 78472e7edfecd8e36eaf5ae77c674033e1498735 | [
"MIT"
] | null | null | null | fairseq/models/nat/old/latent/predictor_module.py | wangqi1996/cmlm | 78472e7edfecd8e36eaf5ae77c674033e1498735 | [
"MIT"
] | null | null | null | fairseq/models/nat/old/latent/predictor_module.py | wangqi1996/cmlm | 78472e7edfecd8e36eaf5ae77c674033e1498735 | [
"MIT"
] | null | null | null |
"""
TODO: AT Decoder
"""
| 32.915094 | 120 | 0.633276 | from torch import nn
from fairseq.modules import TransformerEncoderLayer, TransformerDecoderLayer
def mean_ds(x, dim=None):
return (
x.float().mean().type_as(x)
if dim is None
else x.float().mean(dim).type_as(x)
)
class Perceptron(nn.Module):
"""
1. 是否激活 通过是否有激活层来控制，最后一层都没有激... | 291 | 0 | 0 | 6,437 | 0 | 126 | 0 | 54 | 229 |
5f0496938b0764b39076e5b64d229dd8946afff8 | 598 | py | Python | python-experiments/lambda_example.py | MichaelCurrin/python-2016 | 00af4e61175fc15aebfab208c76fe9db845d2f4c | [
"MIT"
] | null | null | null | python-experiments/lambda_example.py | MichaelCurrin/python-2016 | 00af4e61175fc15aebfab208c76fe9db845d2f4c | [
"MIT"
] | null | null | null | python-experiments/lambda_example.py | MichaelCurrin/python-2016 | 00af4e61175fc15aebfab208c76fe9db845d2f4c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
""" flatten a 2 dimensional list into a 1 dimension list
by joining column items in a row into one item as single comma-separated string
This is useful for preparing data for a CSV writer function which requires a 1-dimensional list of rows with no columns
Alternatively, the join functional can... | 27.181818 | 119 | 0.680602 | # -*- coding: utf-8 -*-
""" flatten a 2 dimensional list into a 1 dimension list
by joining column items in a row into one item as single comma-separated string
This is useful for preparing data for a CSV writer function which requires a 1-dimensional list of rows with no columns
Alternatively, the join functional can... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
afcd895d40b418f27e030dda81dde145aeb07ff0 | 49,651 | py | Python | src/NebulaBayes/tests/test_NB.py | ADThomas-astro/NebulaBayes | bda65809f43bc336914ce39ae59123e8be1abcbc | [
"MIT"
] | 2 | 2018-08-13T13:50:38.000Z | 2019-09-12T01:45:21.000Z | src/NebulaBayes/tests/test_NB.py | ADThomas-astro/NebulaBayes | bda65809f43bc336914ce39ae59123e8be1abcbc | [
"MIT"
] | null | null | null | src/NebulaBayes/tests/test_NB.py | ADThomas-astro/NebulaBayes | bda65809f43bc336914ce39ae59123e8be1abcbc | [
"MIT"
] | 1 | 2018-09-17T19:10:07.000Z | 2018-09-17T19:10:07.000Z | from __future__ import print_function, division
from collections import OrderedDict as OD
import itertools
import os
import unittest
import numpy as np
import pandas as pd
from NebulaBayes import NB_Model, __version__
"""
Test suite to test NebulaBayes. Mostly functional and regression tests, with
some unit tests a... | 44.65018 | 88 | 0.583372 | from __future__ import print_function, division
from collections import OrderedDict as OD
import itertools
import os
import unittest
from astropy.io import fits # FITS file I/O
from astropy.table import Table # Used in converting to pandas DataFrame
import numpy as np
import pandas as pd
import NebulaBayes
from Neb... | 0 | 15,101 | 0 | 26,651 | 0 | 152 | 0 | 76 | 591 |
7f5c849a1922a15d5a237861a7d432656ec07858 | 224 | py | Python | spider/spider/distance/rfd/__init__.py | Rosna/P4ML-UI | edf0dd830588f03b197e4d6532830a5aedd88424 | [
"Apache-2.0"
] | 1 | 2021-11-05T17:42:47.000Z | 2021-11-05T17:42:47.000Z | spider/spider/distance/rfd/__init__.py | Rosna/P4ML-UI | edf0dd830588f03b197e4d6532830a5aedd88424 | [
"Apache-2.0"
] | null | null | null | spider/spider/distance/rfd/__init__.py | Rosna/P4ML-UI | edf0dd830588f03b197e4d6532830a5aedd88424 | [
"Apache-2.0"
] | 2 | 2019-02-21T18:29:51.000Z | 2019-09-02T21:21:26.000Z | """
spider.distance.metricl.rfd sub-package
__init.py__
@author: david johnson
Primitive that learns and applies random-forest-based distance metric.
defines the module index
"""
| 17.230769 | 74 | 0.709821 | """
spider.distance.metricl.rfd sub-package
__init.py__
@author: david johnson
Primitive that learns and applies random-forest-based distance metric.
defines the module index
"""
from .rfd import RFD
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | -1 | 23 |
e6cd940742010007d0946f002755532450bf69fa | 4,842 | py | Python | prission.py | mandypepe/pythontets | 5bf1d84e5c7c769b27c5cda221ab08cc6625daa4 | [
"Apache-2.0"
] | null | null | null | prission.py | mandypepe/pythontets | 5bf1d84e5c7c769b27c5cda221ab08cc6625daa4 | [
"Apache-2.0"
] | null | null | null | prission.py | mandypepe/pythontets | 5bf1d84e5c7c769b27c5cda221ab08cc6625daa4 | [
"Apache-2.0"
] | null | null | null | import pygame
# Aclaraciones
# Requiere "pygame" para las graficas
#
# Se grafican las figuras para una mejor comprencion pero como son coordenadas tan pequenas no se muestran bien
# (aumentando las proporciones pude verse mejo)
# pero la orden del problema no lo permite.
#
# La solucion trate de buscarla ma... | 37.828125 | 117 | 0.522305 | import pygame, sys
from pygame.locals import *
# Aclaraciones
# Requiere "pygame" para las graficas
#
# Se grafican las figuras para una mejor comprencion pero como son coordenadas tan pequenas no se muestran bien
# (aumentando las proporciones pude verse mejo)
# pero la orden del problema no lo permite.
#
... | 0 | 0 | 0 | 0 | 0 | 777 | 0 | 11 | 58 |
1dc936213106f9d125c70a922c89b50eee90b068 | 4,148 | py | Python | scripts/mg-compare-heatmap.py | natalie-robinson/MG-RAST-Tools | ed28ffaeb17a156a1d249e4104b042a9ba9cb8d5 | [
"BSD-2-Clause"
] | 21 | 2015-01-18T01:43:12.000Z | 2021-09-09T03:26:59.000Z | scripts/mg-compare-heatmap.py | natalie-robinson/MG-RAST-Tools | ed28ffaeb17a156a1d249e4104b042a9ba9cb8d5 | [
"BSD-2-Clause"
] | 26 | 2015-01-22T21:23:09.000Z | 2021-11-13T17:55:37.000Z | scripts/mg-compare-heatmap.py | natalie-robinson/MG-RAST-Tools | ed28ffaeb17a156a1d249e4104b042a9ba9cb8d5 | [
"BSD-2-Clause"
] | 22 | 2015-01-18T01:44:36.000Z | 2021-09-18T09:29:06.000Z | #!/usr/bin/env python
import sys
prehelp = """
NAME
mg-compare-heatmap
VERSION
%s
SYNOPSIS
mg-compare-heatmap [ --help, --input <input file or stdin>, --output <output file or stdout>, --format <cv: 'text' or 'biom'>, --cluster <cv: ward, single, complete, mcquitty, median, centroid>, --distance <cv: bra... | 41.48 | 334 | 0.662729 | #!/usr/bin/env python
import os
import sys
import json
from argparse import ArgumentParser
from mglib import obj_from_url, tab_to_matrix, AUTH_LIST, API_URL, biom_to_matrix, VERSION
prehelp = """
NAME
mg-compare-heatmap
VERSION
%s
SYNOPSIS
mg-compare-heatmap [ --help, --input <input file or stdin>, --ou... | 0 | 0 | 0 | 0 | 0 | 2,855 | 0 | 61 | 112 |
3bf02f939d9fa44b09bbbe9fe168ef56750390f0 | 5,733 | py | Python | Youtube Bot Video Generator/videoscript.py | wasimakh2/Automatic-Youtube-Reddit-Text-To-Speech-Video-Generator-and-Uploader | 8f6e1c7fcbd93f7da8f437cb4bf2d9c67c2932c2 | [
"MIT"
] | 1 | 2020-08-24T07:02:32.000Z | 2020-08-24T07:02:32.000Z | Youtube Bot Video Generator/videoscript.py | wasimakh2/Automatic-Youtube-Reddit-Text-To-Speech-Video-Generator-and-Uploader | 8f6e1c7fcbd93f7da8f437cb4bf2d9c67c2932c2 | [
"MIT"
] | null | null | null | Youtube Bot Video Generator/videoscript.py | wasimakh2/Automatic-Youtube-Reddit-Text-To-Speech-Video-Generator-and-Uploader | 8f6e1c7fcbd93f7da8f437cb4bf2d9c67c2932c2 | [
"MIT"
] | 1 | 2021-01-25T17:09:35.000Z | 2021-01-25T17:09:35.000Z |
videoscripts = []
| 41.846715 | 117 | 0.631083 | import settings
import cv2
from VideoTypes import imageframe, standardredditformat
import generatemovie
import generatorclient
import datetime
import os
import shutil
import videouploader
import random
import pickle
from time import sleep
videoscripts = []
class VideoScriptEngine():
def __init... | 0 | 0 | 0 | 4,373 | 0 | 932 | 0 | -25 | 426 |
c7cec01c629502ed181bf15521238a3423e46732 | 258 | py | Python | start.py | ddpaimon/treedbclient | ff03343556090c0398ee1130a91b386e9e2f4cec | [
"MIT"
] | null | null | null | start.py | ddpaimon/treedbclient | ff03343556090c0398ee1130a91b386e9e2f4cec | [
"MIT"
] | null | null | null | start.py | ddpaimon/treedbclient | ff03343556090c0398ee1130a91b386e9e2f4cec | [
"MIT"
] | null | null | null | from main_window import MainWindow
if __name__ == "__main__":
root = Tk()
root.columnconfigure(0, weight=1)
root.columnconfigure(2, weight=1)
root.rowconfigure(0, weight=1)
m = MainWindow(root)
root.mainloop()
| 21.5 | 37 | 0.686047 | from tkinter import *
from main_window import MainWindow
if __name__ == "__main__":
root = Tk()
root.columnconfigure(0, weight=1)
root.columnconfigure(2, weight=1)
root.rowconfigure(0, weight=1)
m = MainWindow(root)
root.mainloop()
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 |
a927846d4e9a598f9eff23e33973c320f1038c9d | 28,220 | py | Python | sim_db/sim_db_lib.py | task123/sim_db | 892934693fc166640f6cbf7af905a2c0d48ea99b | [
"MIT"
] | null | null | null | sim_db/sim_db_lib.py | task123/sim_db | 892934693fc166640f6cbf7af905a2c0d48ea99b | [
"MIT"
] | null | null | null | sim_db/sim_db_lib.py | task123/sim_db | 892934693fc166640f6cbf7af905a2c0d48ea99b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Read and write parameters, results and metadata to the 'sim_db' database."""
# Copyright (C) 2017-2019 Hkon Austlid Taskn <hakon.tasken@gmail.com>
# Licenced under the MIT License.
import sim_db.src_command_line_tool.commands.helpers as helpers
def add_empty_sim(store_metadata=False):
... | 43.684211 | 80 | 0.545216 | # -*- coding: utf-8 -*-
"""Read and write parameters, results and metadata to the 'sim_db' database."""
# Copyright (C) 2017-2019 Håkon Austlid Taskén <hakon.tasken@gmail.com>
# Licenced under the MIT License.
import sim_db.src_command_line_tool.commands.helpers as helpers
import sqlite3
import argparse
import subproc... | 4 | 0 | 0 | 26,880 | 0 | 0 | 0 | -62 | 222 |
154902bea517a92105fa6ca2dc639b1aa8ad881c | 1,591 | py | Python | fossor/checks/loadavg.py | NeolithEra/fossor | d8dbdc40f2f16da601c317dfa74b83e3932c9bb3 | [
"BSD-2-Clause"
] | 165 | 2017-12-14T18:44:25.000Z | 2020-12-09T01:48:57.000Z | fossor/checks/loadavg.py | NeolithEra/fossor | d8dbdc40f2f16da601c317dfa74b83e3932c9bb3 | [
"BSD-2-Clause"
] | 12 | 2017-12-14T23:42:45.000Z | 2020-05-29T15:11:02.000Z | fossor/checks/loadavg.py | NeolithEra/fossor | d8dbdc40f2f16da601c317dfa74b83e3932c9bb3 | [
"BSD-2-Clause"
] | 32 | 2017-12-14T17:51:57.000Z | 2020-06-12T13:11:47.000Z | # Copyright 2017 LinkedIn Corporation. All rights reserved. Licensed under the BSD-2 Clause license.
# See LICENSE in the project root for license information.
if __name__ == '__main__':
l = LoadAvg()
print(l.run({}))
| 43 | 122 | 0.614079 | # Copyright 2017 LinkedIn Corporation. All rights reserved. Licensed under the BSD-2 Clause license.
# See LICENSE in the project root for license information.
import os
from fossor.checks.check import Check
class LoadAvg(Check):
'''this Check will compare the current load average summaries against the count of ... | 0 | 0 | 0 | 1,290 | 0 | 0 | 0 | 4 | 68 |
f4b37dcb02cb91970f72659ca8869f6a3bbb5643 | 1,532 | py | Python | day26_lists_NATO_alphabet/main.py | frnkvsk/python100days | 70d607ca58a526f0d66544ed65405b2425718108 | [
"Unlicense"
] | null | null | null | day26_lists_NATO_alphabet/main.py | frnkvsk/python100days | 70d607ca58a526f0d66544ed65405b2425718108 | [
"Unlicense"
] | null | null | null | day26_lists_NATO_alphabet/main.py | frnkvsk/python100days | 70d607ca58a526f0d66544ed65405b2425718108 | [
"Unlicense"
] | null | null | null |
# names = ['Alex', 'Beth', 'Carol', 'Dave', 'Kim', 'Sam', 'Heather', 'Hank']
# students_scores = {student:random.randint(1, 100) for student in names}
# passed_students = {student:score for (student, score) in students_scores.items() if score > 59}
# print(students_scores)
# print(passed_students)
# sentence =... | 30.039216 | 103 | 0.622063 | import random
# names = ['Alex', 'Beth', 'Carol', 'Dave', 'Kim', 'Sam', 'Heather', 'Hank']
# students_scores = {student:random.randint(1, 100) for student in names}
# passed_students = {student:score for (student, score) in students_scores.items() if score > 59}
# print(students_scores)
# print(passed_students)
... | 0 | 0 | 0 | 0 | 0 | 297 | 0 | -8 | 48 |
f855524a5a17dbd4474da10c04f38088efe0a849 | 4,279 | py | Python | gladiator/prepare/command.py | hellcat17/gladiator | 4f1ea65112dab04f584b148d23a150f28a94c434 | [
"Apache-2.0"
] | null | null | null | gladiator/prepare/command.py | hellcat17/gladiator | 4f1ea65112dab04f584b148d23a150f28a94c434 | [
"Apache-2.0"
] | null | null | null | gladiator/prepare/command.py | hellcat17/gladiator | 4f1ea65112dab04f584b148d23a150f28a94c434 | [
"Apache-2.0"
] | null | null | null | """Prepare OpenGL commands for use in templates."""
from gladiator.resources import read_resource_file
_TYPE_TRANSLATIONS = dict(
t.split(",") for t in read_resource_file("data/type_translations").split("\n") if t
)
# TODO: take options such as casing, style and namespace
# TODO: generate special wr... | 28.526667 | 87 | 0.714419 | """Prepare OpenGL commands for use in templates."""
from enum import auto, Enum
from typing import Iterable, Mapping, Optional, Union
import attr
from gladiator.parse.command import Command, Type
from gladiator.prepare.enum import PreparedEnum
from gladiator.prepare.style import transform_symbol
from gladiator.optio... | 0 | 1,106 | 0 | 117 | 683 | 1,387 | 0 | 152 | 478 |
c7393ff14c969a96e0698f982393eac0fd77f625 | 351 | py | Python | notebooks/bqm_functions.py | ozlemsalehi/qa-edu | 4b74a1d06820df36b710919c31a82a71b4e85d84 | [
"MIT"
] | 1 | 2021-10-10T03:35:03.000Z | 2021-10-10T03:35:03.000Z | notebooks/bqm_functions.py | ozlemsalehi/qa-edu | 4b74a1d06820df36b710919c31a82a71b4e85d84 | [
"MIT"
] | null | null | null | notebooks/bqm_functions.py | ozlemsalehi/qa-edu | 4b74a1d06820df36b710919c31a82a71b4e85d84 | [
"MIT"
] | null | null | null | """
This file contains all the functions used in the notebooks
under the Binary Quadratic Model section.
Prepared by Akash Narayanan B
"""
# Task 3
linear = {'x1': 3, 'x2': -1, 'x3': 10, 'x4': 7}
quadratic = {('x1', 'x2'): 2, ('x1', 'x3'): -5, ('x2', 'x3'): 3, ('x3', 'x4'): 11}
offset = 8
vartype = 'BINARY' | 25.071429 | 82 | 0.621083 | """
This file contains all the functions used in the notebooks
under the Binary Quadratic Model section.
Prepared by Akash Narayanan B
"""
from dimod import BinaryQuadraticModel
# Task 3
linear = {'x1': 3, 'x2': -1, 'x3': 10, 'x4': 7}
quadratic = {('x1', 'x2'): 2, ('x1', 'x3'): -5, ('x2', 'x3'): 3, ('x3', 'x4'): 11... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 22 |
21724846cd453a1ea089631982f272aa7f74cddf | 754 | py | Python | project/delibere/migrations/0036_auto_20170922_1319.py | guglielmo/mosic2-db-delibere | a7c92adf42ad53023af47776c32baa2ee525f5e9 | [
"BSD-3-Clause"
] | null | null | null | project/delibere/migrations/0036_auto_20170922_1319.py | guglielmo/mosic2-db-delibere | a7c92adf42ad53023af47776c32baa2ee525f5e9 | [
"BSD-3-Clause"
] | null | null | null | project/delibere/migrations/0036_auto_20170922_1319.py | guglielmo/mosic2-db-delibere | a7c92adf42ad53023af47776c32baa2ee525f5e9 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.10.8 on 2017-09-22 13:19
from __future__ import unicode_literals
| 27.925926 | 124 | 0.619363 | # -*- coding: utf-8 -*-
# Generated by Django 1.10.8 on 2017-09-22 13:19
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('delibere', '0035_auto_20170621_1621'),
]
operations = [
migrations.AlterFie... | 0 | 0 | 0 | 575 | 0 | 0 | 0 | 19 | 46 |
b4791417864a20c51bb22fe093517c0cb17c5969 | 2,605 | py | Python | classification_ScanObjectNN/ScanObjectNN.py | ma-xu/pointMLP-pytorch | 205669826d269972e2616b13198dd52f41c9992e | [
"Apache-2.0"
] | 95 | 2022-02-15T10:09:31.000Z | 2022-03-30T04:29:12.000Z | classification_ScanObjectNN/ScanObjectNN.py | ma-xu/pointMLP-pytorch | 205669826d269972e2616b13198dd52f41c9992e | [
"Apache-2.0"
] | 17 | 2022-02-16T06:41:09.000Z | 2022-03-31T13:00:09.000Z | classification_ScanObjectNN/ScanObjectNN.py | 13952522076/pointMLP-pytorch | 205669826d269972e2616b13198dd52f41c9992e | [
"Apache-2.0"
] | 13 | 2022-02-16T10:06:11.000Z | 2022-03-31T12:55:44.000Z | """
ScanObjectNN download: http://103.24.77.34/scanobjectnn/h5_files.zip
"""
import os
os.environ["HDF5_USE_FILE_LOCKING"] = "FALSE"
if __name__ == '__main__':
train = ScanObjectNN(1024)
test = ScanObjectNN(1024, 'test')
for data, label in train:
print(data.shape)
print(label)
| 32.160494 | 108 | 0.66142 | """
ScanObjectNN download: http://103.24.77.34/scanobjectnn/h5_files.zip
"""
import os
import sys
import glob
import h5py
import numpy as np
from torch.utils.data import Dataset
os.environ["HDF5_USE_FILE_LOCKING"] = "FALSE"
def download():
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
DATA_DIR = os.... | 0 | 0 | 0 | 557 | 0 | 1,551 | 0 | -19 | 202 |
a4a4356ef17d15a32870aceafc1ab8a92b4c9303 | 71 | py | Python | sgi/recursos_humanos/__init__.py | jorgevilaca82/SGI | c3f13d9e3e8f04377d9e23636dc8e35ed5ace35a | [
"MIT"
] | null | null | null | sgi/recursos_humanos/__init__.py | jorgevilaca82/SGI | c3f13d9e3e8f04377d9e23636dc8e35ed5ace35a | [
"MIT"
] | 8 | 2019-12-07T13:13:34.000Z | 2021-09-02T03:07:25.000Z | sgi/recursos_humanos/__init__.py | jorgevilaca82/SGI | c3f13d9e3e8f04377d9e23636dc8e35ed5ace35a | [
"MIT"
] | null | null | null | default_app_config = "sgi.recursos_humanos.apps.RecursosHumanosConfig"
| 35.5 | 70 | 0.873239 | default_app_config = "sgi.recursos_humanos.apps.RecursosHumanosConfig"
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9903afe6a1227ea53c957090155382ddf95e9914 | 13,824 | py | Python | gntp/__init__.py | pcjacobse/sabnzbd | 494e72a9963a1810e69f4e0f69df7c9dfb9256b0 | [
"0BSD",
"PSF-2.0",
"BSD-2-Clause",
"MIT",
"BSD-3-Clause"
] | null | null | null | gntp/__init__.py | pcjacobse/sabnzbd | 494e72a9963a1810e69f4e0f69df7c9dfb9256b0 | [
"0BSD",
"PSF-2.0",
"BSD-2-Clause",
"MIT",
"BSD-3-Clause"
] | null | null | null | gntp/__init__.py | pcjacobse/sabnzbd | 494e72a9963a1810e69f4e0f69df7c9dfb9256b0 | [
"0BSD",
"PSF-2.0",
"BSD-2-Clause",
"MIT",
"BSD-3-Clause"
] | null | null | null | import re
__version__ = '0.8'
#GNTP/<version> <messagetype> <encryptionAlgorithmID>[:<ivValue>][ <keyHashAlgorithmID>:<keyHash>.<salt>]
GNTP_INFO_LINE = re.compile(
'GNTP/(?P<version>\d+\.\d+) (?P<messagetype>REGISTER|NOTIFY|SUBSCRIBE|\-OK|\-ERROR)' +
' (?P<encryptionAlgorithmID>[A-Z0-9]+(:(?P<ivValue>[A-F0-9]+))?)... | 27.105882 | 105 | 0.697844 | import re
import hashlib
import time
import StringIO
__version__ = '0.8'
#GNTP/<version> <messagetype> <encryptionAlgorithmID>[:<ivValue>][ <keyHashAlgorithmID>:<keyHash>.<salt>]
GNTP_INFO_LINE = re.compile(
'GNTP/(?P<version>\d+\.\d+) (?P<messagetype>REGISTER|NOTIFY|SUBSCRIBE|\-OK|\-ERROR)' +
' (?P<encryptionAlgor... | 0 | 0 | 0 | 12,125 | 0 | 0 | 0 | -23 | 319 |