hexsha string | size int64 | ext string | lang string | max_stars_repo_path string | max_stars_repo_name string | max_stars_repo_head_hexsha string | max_stars_repo_licenses list | max_stars_count int64 | max_stars_repo_stars_event_min_datetime string | max_stars_repo_stars_event_max_datetime string | max_issues_repo_path string | max_issues_repo_name string | max_issues_repo_head_hexsha string | max_issues_repo_licenses list | max_issues_count int64 | max_issues_repo_issues_event_min_datetime string | max_issues_repo_issues_event_max_datetime string | max_forks_repo_path string | max_forks_repo_name string | max_forks_repo_head_hexsha string | max_forks_repo_licenses list | max_forks_count int64 | max_forks_repo_forks_event_min_datetime string | max_forks_repo_forks_event_max_datetime string | content string | avg_line_length float64 | max_line_length int64 | alphanum_fraction float64 | qsc_code_num_words_quality_signal int64 | qsc_code_num_chars_quality_signal float64 | qsc_code_mean_word_length_quality_signal float64 | qsc_code_frac_words_unique_quality_signal float64 | qsc_code_frac_chars_top_2grams_quality_signal float64 | qsc_code_frac_chars_top_3grams_quality_signal float64 | qsc_code_frac_chars_top_4grams_quality_signal float64 | qsc_code_frac_chars_dupe_5grams_quality_signal float64 | qsc_code_frac_chars_dupe_6grams_quality_signal float64 | qsc_code_frac_chars_dupe_7grams_quality_signal float64 | qsc_code_frac_chars_dupe_8grams_quality_signal float64 | qsc_code_frac_chars_dupe_9grams_quality_signal float64 | qsc_code_frac_chars_dupe_10grams_quality_signal float64 | qsc_code_frac_chars_replacement_symbols_quality_signal float64 | qsc_code_frac_chars_digital_quality_signal float64 | qsc_code_frac_chars_whitespace_quality_signal float64 | qsc_code_size_file_byte_quality_signal float64 | qsc_code_num_lines_quality_signal float64 | qsc_code_num_chars_line_max_quality_signal float64 | qsc_code_num_chars_line_mean_quality_signal float64 | qsc_code_frac_chars_alphabet_quality_signal float64 | qsc_code_frac_chars_comments_quality_signal float64 | qsc_code_cate_xml_start_quality_signal float64 | qsc_code_frac_lines_dupe_lines_quality_signal float64 | qsc_code_cate_autogen_quality_signal float64 | qsc_code_frac_lines_long_string_quality_signal float64 | qsc_code_frac_chars_string_length_quality_signal float64 | qsc_code_frac_chars_long_word_length_quality_signal float64 | qsc_code_frac_lines_string_concat_quality_signal float64 | qsc_code_cate_encoded_data_quality_signal float64 | qsc_code_frac_chars_hex_words_quality_signal float64 | qsc_code_frac_lines_prompt_comments_quality_signal float64 | qsc_code_frac_lines_assert_quality_signal float64 | qsc_codepython_cate_ast_quality_signal float64 | qsc_codepython_frac_lines_func_ratio_quality_signal float64 | qsc_codepython_cate_var_zero_quality_signal bool | qsc_codepython_frac_lines_pass_quality_signal float64 | qsc_codepython_frac_lines_import_quality_signal float64 | qsc_codepython_frac_lines_simplefunc_quality_signal float64 | qsc_codepython_score_lines_no_logic_quality_signal float64 | qsc_codepython_frac_lines_print_quality_signal float64 | qsc_code_num_words int64 | qsc_code_num_chars int64 | qsc_code_mean_word_length int64 | qsc_code_frac_words_unique null | qsc_code_frac_chars_top_2grams int64 | qsc_code_frac_chars_top_3grams int64 | qsc_code_frac_chars_top_4grams int64 | qsc_code_frac_chars_dupe_5grams int64 | qsc_code_frac_chars_dupe_6grams int64 | qsc_code_frac_chars_dupe_7grams int64 | qsc_code_frac_chars_dupe_8grams int64 | qsc_code_frac_chars_dupe_9grams int64 | qsc_code_frac_chars_dupe_10grams int64 | qsc_code_frac_chars_replacement_symbols int64 | qsc_code_frac_chars_digital int64 | qsc_code_frac_chars_whitespace int64 | qsc_code_size_file_byte int64 | qsc_code_num_lines int64 | qsc_code_num_chars_line_max int64 | qsc_code_num_chars_line_mean int64 | qsc_code_frac_chars_alphabet int64 | qsc_code_frac_chars_comments int64 | qsc_code_cate_xml_start int64 | qsc_code_frac_lines_dupe_lines int64 | qsc_code_cate_autogen int64 | qsc_code_frac_lines_long_string int64 | qsc_code_frac_chars_string_length int64 | qsc_code_frac_chars_long_word_length int64 | qsc_code_frac_lines_string_concat null | qsc_code_cate_encoded_data int64 | qsc_code_frac_chars_hex_words int64 | qsc_code_frac_lines_prompt_comments int64 | qsc_code_frac_lines_assert int64 | qsc_codepython_cate_ast int64 | qsc_codepython_frac_lines_func_ratio int64 | qsc_codepython_cate_var_zero int64 | qsc_codepython_frac_lines_pass int64 | qsc_codepython_frac_lines_import int64 | qsc_codepython_frac_lines_simplefunc int64 | qsc_codepython_score_lines_no_logic int64 | qsc_codepython_frac_lines_print int64 | effective string | hits int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
93d66f35931dd0f543eb8cc50fc99b691a5620d9 | 828 | py | Python | transible/plugins/aws_ansible/amazon_ansible.py | sshnaidm/transible | 770949da4d30736799e3c629aea98b6cd53d60bc | [
"Apache-2.0"
] | 15 | 2019-12-02T19:11:09.000Z | 2021-12-01T04:50:09.000Z | transible/plugins/aws_ansible/amazon_ansible.py | sshnaidm/transible | 770949da4d30736799e3c629aea98b6cd53d60bc | [
"Apache-2.0"
] | null | null | null | transible/plugins/aws_ansible/amazon_ansible.py | sshnaidm/transible | 770949da4d30736799e3c629aea98b6cd53d60bc | [
"Apache-2.0"
] | 2 | 2019-12-03T14:49:16.000Z | 2019-12-09T06:20:45.000Z | class AmazonAnsible:
"""Main class to generate Ansible playbooks from Amazon
Args:
debug (bool, optional): debug option. Defaults to False.
from_file (str, optional): Optional file with all data. Defaults to ''.
"""
class AmazonAnsibleCalculation:
"""Class to generate all Ansible playbooks.
Args:
data (dict): Amazon info data to be used to generate the playbooks.
debug (bool, optional): debug option. Defaults to False.
"""
def __init__(self, data, debug=False):
self.debug = debug
self.data = data
class AmazonInfo:
"""Retrieve information about Amazon cloud
Args:
debug (bool, optional): debug option. Defaults to False.
"""
def __init__(self, debug=False):
self.debug = debug
self.data = {}
| 26.709677 | 79 | 0.63285 | 97 | 828 | 5.309278 | 0.360825 | 0.07767 | 0.099029 | 0.128155 | 0.43301 | 0.43301 | 0.43301 | 0.308738 | 0.308738 | 0.209709 | 0 | 0 | 0.275362 | 828 | 30 | 80 | 27.6 | 0.858333 | 0.595411 | 0 | 0.222222 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0 | 0 | 0 | 0.555556 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
93e18c50f38eaea4575b1e1f8ce2007f06e3b692 | 327 | py | Python | performance-storage-service/pss_project/api/serializers/rest/metadata/NoisePageMetadataSerializer.py | cmu-db/noisepage-stats | d61a0e143904748b3f7f43628a5b29769a5c9cf8 | [
"MIT"
] | 23 | 2020-12-22T20:19:51.000Z | 2021-11-24T06:11:01.000Z | performance-storage-service/pss_project/api/serializers/rest/metadata/NoisePageMetadataSerializer.py | cmu-db/noisepage-test | d61a0e143904748b3f7f43628a5b29769a5c9cf8 | [
"MIT"
] | 13 | 2020-06-05T22:36:49.000Z | 2020-11-10T16:25:04.000Z | performance-storage-service/pss_project/api/serializers/rest/metadata/NoisePageMetadataSerializer.py | cmu-db/noisepage-test | d61a0e143904748b3f7f43628a5b29769a5c9cf8 | [
"MIT"
] | 2 | 2020-06-08T18:03:34.000Z | 2020-10-06T18:01:35.000Z | from rest_framework.serializers import Serializer, CharField
from pss_project.api.models.rest.metadata.NoisePageMetadata import NoisePageMetadata
class NoisePageMetadataSerializer(Serializer):
# Fields
db_version = CharField()
def create(self, validated_data):
return NoisePageMetadata(**validated_data)
| 29.727273 | 84 | 0.798165 | 33 | 327 | 7.757576 | 0.727273 | 0.101563 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.134557 | 327 | 10 | 85 | 32.7 | 0.904594 | 0.018349 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.333333 | 0.166667 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 3 |
9e14c7a4217eeb315100b8e602791442bd09996a | 257 | py | Python | code/baseline.py | Heitao5200/nd_1 | 8dbc21adfa0e3ee5471fc73096605193de4fa6a2 | [
"MIT"
] | null | null | null | code/baseline.py | Heitao5200/nd_1 | 8dbc21adfa0e3ee5471fc73096605193de4fa6a2 | [
"MIT"
] | null | null | null | code/baseline.py | Heitao5200/nd_1 | 8dbc21adfa0e3ee5471fc73096605193de4fa6a2 | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
train = pd.read_csv('../data/train.csv')
test = pd.read_csv('../data/testA.csv')
sample_submit = pd.read_csv('../data/sample_submit.csv',nrows= 10)
print(666)
print(train.info())
print(test.info())
print(sample_submit) | 28.555556 | 66 | 0.727626 | 44 | 257 | 4.113636 | 0.431818 | 0.099448 | 0.149171 | 0.21547 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.021186 | 0.081712 | 257 | 9 | 67 | 28.555556 | 0.745763 | 0 | 0 | 0 | 0 | 0 | 0.228682 | 0.096899 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.222222 | 0 | 0.222222 | 0.444444 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 |
f57524eb8ab6dc63471e870c627f5ddf962c1068 | 3,071 | py | Python | python/iceberg/api/transforms/identity.py | moulimukherjee/incubator-iceberg | bf7edc4b325df6dd80d86fea0149d2be0ad09468 | [
"Apache-2.0"
] | 2,161 | 2020-05-28T01:20:01.000Z | 2022-03-31T14:48:04.000Z | python/iceberg/api/transforms/identity.py | moulimukherjee/incubator-iceberg | bf7edc4b325df6dd80d86fea0149d2be0ad09468 | [
"Apache-2.0"
] | 3,096 | 2020-05-27T20:57:13.000Z | 2022-03-31T22:55:42.000Z | python/iceberg/api/transforms/identity.py | moulimukherjee/incubator-iceberg | bf7edc4b325df6dd80d86fea0149d2be0ad09468 | [
"Apache-2.0"
] | 879 | 2020-05-28T01:20:01.000Z | 2022-03-31T12:48:48.000Z | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from .transform import Transform
from .transform_util import TransformUtil
from ..expressions import Expressions
from ..types import TypeID
class Identity(Transform):
@staticmethod
def get(type_var):
return Identity(type_var)
def __init__(self, type_var):
self.type_var = type_var
def apply(self, value):
return value
def can_transform(self, type_var):
return type_var.is_primitive_type()
def get_result_type(self, source_type):
return source_type
def project(self, name, predicate):
return self.project_strict(name, predicate)
def project_strict(self, name, predicate):
if predicate.lit is not None:
return Expressions.predicate(predicate.op, name, predicate.lit.value)
else:
return Expressions.predicate(predicate.op, name)
def to_human_string(self, value):
if value is None:
return "null"
if self.type_var.type_id == TypeID.DATE:
return TransformUtil.human_day(value)
elif self.type_var.type_id == TypeID.TIME:
return TransformUtil.human_time(value)
elif self.type_var.type_id == TypeID.TIMESTAMP:
if self.type_var.adjust_to_utc:
return TransformUtil.human_timestamp_with_timezone(value)
else:
return TransformUtil.human_timestamp_without_timezone(value)
elif self.type_var.type_id in (TypeID.BINARY, TypeID.FIXED):
raise NotImplementedError()
# if isinstance(value, bytearray):
# return base64.b64encode(value)
# elif isinstance(value, bytes):
# return base64.b64encode(bytes(value))
# else:
# raise RuntimeError("Unsupported binary type: %s" % value.__class__.__name__)
else:
return str(value)
def __str__(self):
return "identity"
def __eq__(self, other):
if id(self) == id(other):
return True
if other is None or not isinstance(other, Identity):
return False
return self.type_var == other.type_var
def __hash__(self):
return hash(self.__key())
def __key(self):
return Identity.__class__, self.type_var
| 33.380435 | 94 | 0.669163 | 388 | 3,071 | 5.108247 | 0.350515 | 0.052977 | 0.0555 | 0.037841 | 0.098385 | 0.098385 | 0.045409 | 0.032291 | 0 | 0 | 0 | 0.005242 | 0.25464 | 3,071 | 91 | 95 | 33.747253 | 0.860638 | 0.319114 | 0 | 0.058824 | 0 | 0 | 0.005803 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.235294 | false | 0 | 0.078431 | 0.156863 | 0.705882 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
f5832a66f5ab8365268dc79098d8ec3840e2a905 | 2,134 | py | Python | kge/ui/ui_manager.py | Fredkiss3/kge | 389d5ab21ecb6dc1a25dd9f98245ba5938a5d253 | [
"CC0-1.0"
] | 4 | 2020-03-17T02:15:10.000Z | 2021-06-29T13:34:40.000Z | kge/ui/ui_manager.py | Fredkiss3/kge | 389d5ab21ecb6dc1a25dd9f98245ba5938a5d253 | [
"CC0-1.0"
] | 4 | 2020-05-23T05:47:30.000Z | 2022-01-13T02:15:35.000Z | kge/ui/ui_manager.py | Fredkiss3/kge | 389d5ab21ecb6dc1a25dd9f98245ba5938a5d253 | [
"CC0-1.0"
] | null | null | null | from typing import Callable, Set, Union, Type
import kge.inputs.keys as Keys
from kge.core import events
# from kge.core.component_system import ComponentSystem
# from kge.ui.canvas_renderer import CanvasRenderer
from kge.core.system import System
from kge.utils.vector import Vector
from kge.ui.canvas import Canvas, Clear, ClickDown, ClickUp, Hover, CanvasEvent
from kge.utils.spatial_hash import Box
class UIManager(System):
"""
A system that dispatch events to canvas
FIXME : CANVAS SHOULD NOT BE AFFECTED BY ZOOM
"""
_stated = set() # type: Set[Canvas]
_searchSize = Vector.Unit() / 32
def __enter__(self):
pass
def on_key_down(self, ev: events.KeyDown, dispatch: Callable):
# TODO : SHOULD DO SOMETHIN' (?)
if ev.key is Keys.Up:
pass
elif ev.key is Keys.Down:
pass
def on_key_up(self):
# TODO : SHOULD DO SOMETHIN' (?)
pass
def dispatch(self, ev:Union[events.MouseMotion, events.MouseDown, events.MouseUp], e: Union[Type[ClickUp], Type[ClickDown], Type[Hover]]):
# FIXME : IS THIS PERFORMANT ?
self.clear_canvases()
canvases = ev.scene.spatial_hash.search(ev.position, self._searchSize, Canvas)
# For testing if canvas collide with mouse
box = Box(ev.position, self._searchSize)
# Clear all canvases
for canvas in canvases: # type: Canvas
cbox = Box(canvas.position, canvas.scale)
if box.overlaps(cbox) and canvas.visible:
canvas.dispatch(e(zone=box))
self._stated.add(canvas)
def on_mouse_motion(self, ev: events.MouseMotion, dispatch: Callable):
self.dispatch(ev, Hover)
def clear_canvases(self):
for c in self._stated:
c.dispatch(Clear())
self._stated = set()
def on_mouse_down(self, ev: events.MouseDown, dispatch: Callable):
self.dispatch(ev, ClickDown)
def on_mouse_up(self, ev: events.MouseUp, dispatch: Callable):
self.dispatch(ev, ClickUp)
| 31.382353 | 143 | 0.633552 | 269 | 2,134 | 4.925651 | 0.330855 | 0.036981 | 0.036226 | 0.063396 | 0.067925 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001288 | 0.272259 | 2,134 | 67 | 144 | 31.850746 | 0.8519 | 0.174321 | 0 | 0.105263 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.029851 | 0 | 1 | 0.210526 | false | 0.105263 | 0.184211 | 0 | 0.473684 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
1921e0ff9a4ffc28f8ebfad29345c962a8824ff6 | 240 | py | Python | factory/Factory/factories/chevy_factory.py | Tomvictor/python-design-patterns | 6b99607d721bbe03d26a0a451a10e88cd1c1d112 | [
"MIT"
] | null | null | null | factory/Factory/factories/chevy_factory.py | Tomvictor/python-design-patterns | 6b99607d721bbe03d26a0a451a10e88cd1c1d112 | [
"MIT"
] | null | null | null | factory/Factory/factories/chevy_factory.py | Tomvictor/python-design-patterns | 6b99607d721bbe03d26a0a451a10e88cd1c1d112 | [
"MIT"
] | null | null | null | from .abs_factory import AbsFactory
from autos.chevyvolt import ChevyVolt
class ChevyFactory(AbsFactory):
def create_auto(self):
self.chevy = chevy = ChevyVolt()
chevy.name = 'Chevy Volt'
return chevy
| 24 | 41 | 0.670833 | 27 | 240 | 5.888889 | 0.62963 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.258333 | 240 | 9 | 42 | 26.666667 | 0.893258 | 0 | 0 | 0 | 0 | 0 | 0.04329 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.285714 | 0 | 0.714286 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
1934a263073941d83bd788e20670adca9b1f54ca | 100 | py | Python | 06 - WeiXin/run.py | Jianfu-She/PySpider | 4f28753fc5340ddd06c5af6d3f6968ab308cf5d9 | [
"Apache-2.0"
] | null | null | null | 06 - WeiXin/run.py | Jianfu-She/PySpider | 4f28753fc5340ddd06c5af6d3f6968ab308cf5d9 | [
"Apache-2.0"
] | 3 | 2021-09-08T01:11:16.000Z | 2022-03-02T15:14:03.000Z | 06 - WeiXin/run.py | Jianfu-She/PySpider | 4f28753fc5340ddd06c5af6d3f6968ab308cf5d9 | [
"Apache-2.0"
] | 1 | 2019-08-04T09:57:29.000Z | 2019-08-04T09:57:29.000Z | from weixin.spider import Spider
if __name__ == '__main__':
spider = Spider()
spider.run()
| 16.666667 | 32 | 0.67 | 12 | 100 | 4.916667 | 0.666667 | 0.40678 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.21 | 100 | 5 | 33 | 20 | 0.746835 | 0 | 0 | 0 | 0 | 0 | 0.08 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
1940382083184a65f3afbc528bf88d59980d18ed | 85 | py | Python | shiba/optim/__init__.py | A-Jacobson/shiba | e98c1ce29c9c89bfe6c02eddce2b842fc613c3f2 | [
"MIT"
] | 2 | 2019-05-06T16:35:36.000Z | 2019-12-13T23:58:04.000Z | shiba/optim/__init__.py | A-Jacobson/shiba | e98c1ce29c9c89bfe6c02eddce2b842fc613c3f2 | [
"MIT"
] | 1 | 2019-11-15T00:43:52.000Z | 2019-11-15T00:43:52.000Z | shiba/optim/__init__.py | A-Jacobson/shiba | e98c1ce29c9c89bfe6c02eddce2b842fc613c3f2 | [
"MIT"
] | 1 | 2019-09-04T16:02:00.000Z | 2019-09-04T16:02:00.000Z | from .adamW import AdamW
from .qhadamW import QHAdamW
__all__ = ('AdamW', 'QHAdamW') | 21.25 | 30 | 0.741176 | 11 | 85 | 5.363636 | 0.454545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.141176 | 85 | 4 | 30 | 21.25 | 0.808219 | 0 | 0 | 0 | 0 | 0 | 0.139535 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
1952f0f22e5d64b8ba6de50102f08280c671fadc | 539 | py | Python | boxuegu/boxuegu/apps/operation/adminx.py | 1111111111122222222223333333333/Django_boxuegu | cec4451bcc55f04013efd4e4cb7c4098a0fd5056 | [
"MIT"
] | null | null | null | boxuegu/boxuegu/apps/operation/adminx.py | 1111111111122222222223333333333/Django_boxuegu | cec4451bcc55f04013efd4e4cb7c4098a0fd5056 | [
"MIT"
] | 6 | 2021-02-08T20:30:13.000Z | 2022-03-11T23:50:00.000Z | boxuegu/boxuegu/apps/operation/adminx.py | 1111111111122222222223333333333/Django_boxuegu | cec4451bcc55f04013efd4e4cb7c4098a0fd5056 | [
"MIT"
] | null | null | null | import xadmin
from .models import Course, UserAsk, UserCourse, UserFavorite, UserMessage
class CourseAdmin(object):
pass
class UserAskAdmin(object):
pass
class UserCourseAdmin(object):
pass
class UserFavoriteAdmin(object):
pass
class UserMessageAdmin(object):
pass
xadmin.site.register(Course, CourseAdmin)
xadmin.site.register(UserAsk, UserAskAdmin)
xadmin.site.register(UserCourse, UserCourseAdmin)
xadmin.site.register(UserFavorite, UserFavoriteAdmin)
xadmin.site.register(UserMessage, UserMessageAdmin)
| 17.966667 | 74 | 0.792208 | 55 | 539 | 7.763636 | 0.345455 | 0.117096 | 0.210773 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.124304 | 539 | 29 | 75 | 18.586207 | 0.904661 | 0 | 0 | 0.294118 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.294118 | 0.117647 | 0 | 0.411765 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
1958ee8008ba88aea5fb3660d9f2b2025afe2994 | 79 | py | Python | pypeflow/plugins/contrib/__init__.py | pypeflow/pypeflow | 69de9f6d41cfa62aab53fb242d141d8cfc1f84d3 | [
"MIT"
] | 2 | 2015-07-03T04:01:44.000Z | 2016-02-04T13:39:06.000Z | pypeflow/plugins/contrib/__init__.py | pypeflow/pypeflow | 69de9f6d41cfa62aab53fb242d141d8cfc1f84d3 | [
"MIT"
] | null | null | null | pypeflow/plugins/contrib/__init__.py | pypeflow/pypeflow | 69de9f6d41cfa62aab53fb242d141d8cfc1f84d3 | [
"MIT"
] | null | null | null | # coding: utf-8
from __future__ import unicode_literals
__author__ = 'gleber'
| 15.8 | 39 | 0.78481 | 10 | 79 | 5.3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014706 | 0.139241 | 79 | 4 | 40 | 19.75 | 0.764706 | 0.164557 | 0 | 0 | 0 | 0 | 0.09375 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
196fbdb8b0657d253133dcc32cefab74b42e52a0 | 152 | py | Python | yeahyeah/config.py | sjoerdk/yeahyeah | 75a6b07337c86cd23cdd1e5953f783a1eeb53c31 | [
"MIT"
] | null | null | null | yeahyeah/config.py | sjoerdk/yeahyeah | 75a6b07337c86cd23cdd1e5953f783a1eeb53c31 | [
"MIT"
] | 246 | 2019-03-28T09:28:41.000Z | 2022-03-31T23:56:01.000Z | yeahyeah/config.py | sjoerdk/yeahyeah | 75a6b07337c86cd23cdd1e5953f783a1eeb53c31 | [
"MIT"
] | 1 | 2021-11-09T01:21:33.000Z | 2021-11-09T01:21:33.000Z | from pathlib import Path
# This needs to be in a separate module for easy mocking during tests
CORE_CONFIG_PATH = Path.home() / ".config" / "yeahyeah"
| 30.4 | 69 | 0.75 | 24 | 152 | 4.666667 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.171053 | 152 | 4 | 70 | 38 | 0.888889 | 0.440789 | 0 | 0 | 0 | 0 | 0.180723 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
197638c37a684d69d939e33eb738c3313918efa0 | 1,436 | py | Python | examples/optimization_applications/search_space_example.py | nevinadalal/Hyperactive | 3232ffeda70c5d4853b9e71aaf5d1e761c0db9c2 | [
"MIT"
] | 4 | 2019-06-09T08:04:01.000Z | 2019-06-26T05:45:09.000Z | examples/optimization_applications/search_space_example.py | SimonBlanke/hyperactive | 2137f682dd6351dc5c4de8d0d3ad3bd637af57dd | [
"MIT"
] | null | null | null | examples/optimization_applications/search_space_example.py | SimonBlanke/hyperactive | 2137f682dd6351dc5c4de8d0d3ad3bd637af57dd | [
"MIT"
] | null | null | null | """
Hyperactive is very versatile, because it can handle not just numerical or
string variables in the search space, but also functions. If you want to
search for the best list, numpy array, dataframed or class you can put them into a
function that returns them as shown in the example below.
This enables many possibilities for more complex optimization applications.
Neural architecture search, feature engineering, ensemble optimization and many other applications are
only possible or much easier if you can put functions in the search space.
"""
from hyperactive import Hyperactive
def function_0():
# do stuff in function0
return
def function_1():
# do stuff in function1
return
def function_2():
# do stuff in function2
return
def list1():
return [1, 0, 0]
def list2():
return [0, 1, 0]
def list3():
return [0, 0, 1]
# Hyperactive can handle python objects in the search space
search_space = {
"int": list(range(1, 10)),
"float": [0.1, 0.01, 0.001],
"string": ["string1", "string2"],
"function": [function_0, function_1, function_2],
"list": [list1, list2, list3],
}
def objective_function(para):
# score must be a number
score = 1
return score
hyper = Hyperactive()
hyper.add_search(objective_function, search_space, n_iter=20)
hyper.run()
search_data = hyper.search_data(objective_function)
print("\n Search Data: \n", search_data)
| 22.092308 | 103 | 0.708914 | 210 | 1,436 | 4.771429 | 0.485714 | 0.05489 | 0.032934 | 0.047904 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.035745 | 0.201253 | 1,436 | 64 | 104 | 22.4375 | 0.837838 | 0.482591 | 0 | 0.107143 | 0 | 0 | 0.079343 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.035714 | 0.214286 | 0.535714 | 0.035714 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
1976c8290b8fbf5153976f05a2ea4f2a0a7ce369 | 35 | py | Python | athanor_staff/__init__.py | volundmush/athanor_staff | 76b01355b0725fecff2654bce6df86f3070981d8 | [
"BSD-3-Clause"
] | null | null | null | athanor_staff/__init__.py | volundmush/athanor_staff | 76b01355b0725fecff2654bce6df86f3070981d8 | [
"BSD-3-Clause"
] | null | null | null | athanor_staff/__init__.py | volundmush/athanor_staff | 76b01355b0725fecff2654bce6df86f3070981d8 | [
"BSD-3-Clause"
] | null | null | null | INSTALLED_APPS = ["athanor_staff"]
| 17.5 | 34 | 0.771429 | 4 | 35 | 6.25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.085714 | 35 | 1 | 35 | 35 | 0.78125 | 0 | 0 | 0 | 0 | 0 | 0.371429 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
19a28c5a64422a4919dbbf5e29d0a2e246406b80 | 74 | py | Python | Ejercicios Uri/1004.py | GabrielRojas74/Talleres-AyP | 346b87ddc118b4c8f45fe083f63b4bacb5d01d19 | [
"MIT"
] | null | null | null | Ejercicios Uri/1004.py | GabrielRojas74/Talleres-AyP | 346b87ddc118b4c8f45fe083f63b4bacb5d01d19 | [
"MIT"
] | null | null | null | Ejercicios Uri/1004.py | GabrielRojas74/Talleres-AyP | 346b87ddc118b4c8f45fe083f63b4bacb5d01d19 | [
"MIT"
] | null | null | null | A = int(input())
B = int(input())
PROD = A*B
print("PROD = " + str(PROD))
| 14.8 | 28 | 0.540541 | 13 | 74 | 3.076923 | 0.538462 | 0.4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.189189 | 74 | 4 | 29 | 18.5 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0.094595 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.25 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
2701bbfa5e956680c2cb3ea184b59e32f148cc43 | 504 | py | Python | src/api/domain/operation/GetDataOperationJobList/GetDataOperationJobListRequest.py | PythonDataIntegrator/pythondataintegrator | 6167778c36c2295e36199ac0d4d256a4a0c28d7a | [
"MIT"
] | 14 | 2020-12-19T15:06:13.000Z | 2022-01-12T19:52:17.000Z | src/api/domain/operation/GetDataOperationJobList/GetDataOperationJobListRequest.py | PythonDataIntegrator/pythondataintegrator | 6167778c36c2295e36199ac0d4d256a4a0c28d7a | [
"MIT"
] | 43 | 2021-01-06T22:05:22.000Z | 2022-03-10T10:30:30.000Z | src/api/domain/operation/GetDataOperationJobList/GetDataOperationJobListRequest.py | PythonDataIntegrator/pythondataintegrator | 6167778c36c2295e36199ac0d4d256a4a0c28d7a | [
"MIT"
] | 4 | 2020-12-18T23:10:09.000Z | 2021-04-02T13:03:12.000Z | from typing import Optional
from infrastructure.cqrs.decorators.requestclass import requestclass
from domain.common.request_parameter.OrderByParameter import OrderByParameter
from domain.common.request_parameter.PagingParameter import PagingParameter
@requestclass
class GetDataOperationJobListRequest(PagingParameter, OrderByParameter):
DataOperationId: Optional[int] = None
DataOperationName: Optional[str] = None
OnlyCron: Optional[bool] = None
OnlyUndeleted: Optional[bool] = None
| 36 | 77 | 0.831349 | 48 | 504 | 8.6875 | 0.5 | 0.047962 | 0.076739 | 0.110312 | 0.153477 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.109127 | 504 | 13 | 78 | 38.769231 | 0.928731 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.4 | 0 | 0.9 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
273bf6f9e9acbf6bdf2dca5898991d8c28ac1b28 | 560 | py | Python | lib/markdown/extensions/nofollow.py | gluwer/przepisymm | dc83fdc4068fb0102a87081bd519807fd66397c2 | [
"BSD-3-Clause"
] | null | null | null | lib/markdown/extensions/nofollow.py | gluwer/przepisymm | dc83fdc4068fb0102a87081bd519807fd66397c2 | [
"BSD-3-Clause"
] | null | null | null | lib/markdown/extensions/nofollow.py | gluwer/przepisymm | dc83fdc4068fb0102a87081bd519807fd66397c2 | [
"BSD-3-Clause"
] | null | null | null | import markdown
import re
R_NOFOLLOW = re.compile('<a (?![^>]*rel=["\']nofollow[\'"])')
S_NOFOLLOW = '<a rel="nofollow" '
class NofollowPostprocessor(markdown.postprocessors.Postprocessor):
def run(self, text):
return R_NOFOLLOW.sub(S_NOFOLLOW, text)
class NofollowExtension(markdown.Extension):
""" Add nofollow for links to Markdown. """
def extendMarkdown(self, md, md_globals):
md.postprocessors.add('nofollow', NofollowPostprocessor(md), '_end')
def makeExtension(configs={}):
return NofollowExtension(configs=configs) | 31.111111 | 76 | 0.710714 | 62 | 560 | 6.322581 | 0.5 | 0.045918 | 0.061224 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.139286 | 560 | 18 | 77 | 31.111111 | 0.813278 | 0.0625 | 0 | 0 | 0 | 0 | 0.098456 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.166667 | 0.166667 | 0.75 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
2740b2159fbf5f24eefd44bb6c5a56afe8c31aa6 | 2,464 | py | Python | mySQL_Python_Examples/IEF_Database_Insert_population.py | tmillross/IE_data_commons | ca42444e4da99e0f34c34c76de49dabf80b324b0 | [
"MIT"
] | 13 | 2018-07-11T08:21:16.000Z | 2022-03-25T13:40:08.000Z | mySQL_Python_Examples/IEF_Database_Insert_population.py | tmillross/IE_data_commons | ca42444e4da99e0f34c34c76de49dabf80b324b0 | [
"MIT"
] | 23 | 2018-06-22T12:35:50.000Z | 2021-08-03T17:23:13.000Z | mySQL_Python_Examples/IEF_Database_Insert_population.py | tmillross/IE_data_commons | ca42444e4da99e0f34c34c76de49dabf80b324b0 | [
"MIT"
] | 2 | 2018-09-12T07:17:49.000Z | 2019-06-14T15:12:22.000Z | # -*- coding: utf-8 -*-
"""
Created on Thu Nov 30 16:57:29 2017
@author: spauliuk
"""
import pymysql
import datetime
import numpy as np
import IEDC_PW
conn = pymysql.connect(host='www.industrialecology.uni-freiburg.de', port=3306, user=IEDC_PW.IEDC_write_access_user, passwd=IEDC_PW.IEDC_write_access_user_PW, db='iefdatabase_test')
cur = conn.cursor()
# 0) add new unit to unit table:
sql = "INSERT INTO iefdatabase_test.unit_classification (UnitID,SiUnitID,UnitCode,UnitName,Factor)VALUES(49,1,'k','thousand',1000);"
cur.execute(sql)
# 1) Add new data set to dataset table:
sql = "INSERT INTO iefdatabase_test.dataset (System_ID,System_definition,Dataset_name,Reference_date,Most_recent_update,Corresponding_author_info,Other_author_info,Document_reference,region,Time_period_of_analysis,Indicator_element,Comment)VALUES(2, 'XXX.png', 'Historic population by country', %s, %s, 'Pauliuk, Stefan', 'Tao Wang, Daniel B Müller', '10.1016/j.resconrec.2012.11.008', 'World', '1700-2008', 'Population', 'Compiled from other statistical sources');"
cur.execute(sql,(datetime.datetime(2012, 8, 5, 0, 0),datetime.datetime(2012, 8, 5, 0, 0)))
# 2) Add processes for new data set to process table:
sql = "INSERT INTO iefdatabase_test.process_list (system_id,process_id,process_name,process_code,process_type,comment,color,angle,width,height,xPos,yPos)VALUES(2,1,'Population', '', '', '', '[(35,35,35)]', '[0]', '[100.00]', '[100.00]', '[300]', '[200]');"
cur.execute(sql)
# 3) Read population dataset from xls and insert into db stocks:
system_id = 2
stock_dataset_number = 1
Process_id = 1
FilePath = 'C:\\Users\\spauliuk\\FILES\\ARBEIT\\PROJECTS\\Database\\IndEcolFreiburg_Database\\CSVexport_SteelCycle_Population\\P1_D.csv'
lines = open(FilePath,'r').read().split('\n')
for line in lines:
if line != '':
cols = line.split(',')
CountryID = int(cols[3])
YearID = int(cols[4])
PopValue = np.float(cols[8])
# Add data into db:
sql = "INSERT INTO iefdatabase_test.stocks (system_id,stock_dataset_number,process_id,country_iso_code,year,age_cohort,indicator_element,aspect_of_dataset,value,error_type,error_value_1,error_value_2,data_quality,unit_id,comment )VALUES(%s,%s,%s,'%s',%s,'','Population','Stock',%s,'','','','',49,'');"
cur.execute(sql,(system_id,stock_dataset_number,Process_id,CountryID,YearID,PopValue))
stock_dataset_number += 1
# 4) close connection
cur.close()
conn.close()
| 47.384615 | 466 | 0.72849 | 370 | 2,464 | 4.67027 | 0.486486 | 0.043403 | 0.030093 | 0.055556 | 0.170718 | 0.154514 | 0.068287 | 0 | 0 | 0 | 0 | 0.04849 | 0.112825 | 2,464 | 51 | 467 | 48.313725 | 0.741537 | 0.09862 | 0 | 0.071429 | 0 | 0.178571 | 0.606329 | 0.451373 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.035714 | 0.142857 | null | null | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
27482418dbfba809001857bbcd7689328bd04d1c | 156 | py | Python | pitu/gray.py | kenblikylee/pitu | 4cca09e5f3ddaf725e63e3b46f2bed83a5c8f918 | [
"MIT"
] | 12 | 2019-11-04T05:35:03.000Z | 2020-02-21T08:03:07.000Z | pitu/gray.py | gaecom/pitu | e4ec86f045d6820c283a88485b19db3d605c6a9c | [
"MIT"
] | 2 | 2020-03-04T05:13:35.000Z | 2020-11-29T11:35:22.000Z | pitu/gray.py | gaecom/pitu | e4ec86f045d6820c283a88485b19db3d605c6a9c | [
"MIT"
] | 3 | 2019-11-05T04:51:28.000Z | 2020-02-21T08:02:14.000Z | from .photo import Photo
def gray(photo, params, show=False):
_photo = Photo(photo).gray()
_photo.save('gray-' + photo)
if show: _photo.show()
| 22.285714 | 36 | 0.653846 | 22 | 156 | 4.5 | 0.454545 | 0.272727 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.192308 | 156 | 6 | 37 | 26 | 0.785714 | 0 | 0 | 0 | 0 | 0 | 0.032051 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.2 | 0 | 0.4 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
275f5eb0acc7da03032a2d016d6a9a26c54c013e | 404 | py | Python | democrasite/conftest.py | mfosterw/cookiestocracy | 6912e9e7c3006024d0fbee61dce5c48e63e9e231 | [
"MIT"
] | null | null | null | democrasite/conftest.py | mfosterw/cookiestocracy | 6912e9e7c3006024d0fbee61dce5c48e63e9e231 | [
"MIT"
] | 9 | 2021-07-18T17:16:42.000Z | 2022-03-31T00:19:14.000Z | democrasite/conftest.py | mfosterw/cookiestocracy | 6912e9e7c3006024d0fbee61dce5c48e63e9e231 | [
"MIT"
] | null | null | null | import pytest
from democrasite.users.models import User
from democrasite.users.tests.factories import UserFactory
@pytest.fixture(autouse=True)
def media_storage(settings, tmpdir):
settings.MEDIA_ROOT = tmpdir.strpath
@pytest.fixture(autouse=True)
def enable_db_access_for_all_tests(db): # pylint: disable=unused-argument
pass
@pytest.fixture
def user() -> User:
return UserFactory()
| 20.2 | 74 | 0.779703 | 53 | 404 | 5.811321 | 0.584906 | 0.126623 | 0.12987 | 0.155844 | 0.175325 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.126238 | 404 | 19 | 75 | 21.263158 | 0.872521 | 0.076733 | 0 | 0.166667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0.083333 | 0.25 | 0.083333 | 0.583333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 |
27697a5a18a4e97999994949208762c60c8c3d7d | 243 | py | Python | fastapi-sync/src/models/base.py | LexGalante/karro | d255bd6d7e19b4a40b2ff3ba837dd64f1cb1eed6 | [
"MIT"
] | 2 | 2020-11-17T03:19:01.000Z | 2021-02-22T15:01:40.000Z | fastapi-sync/src/models/base.py | LexGalante/karro | d255bd6d7e19b4a40b2ff3ba837dd64f1cb1eed6 | [
"MIT"
] | null | null | null | fastapi-sync/src/models/base.py | LexGalante/karro | d255bd6d7e19b4a40b2ff3ba837dd64f1cb1eed6 | [
"MIT"
] | 1 | 2021-12-02T11:08:29.000Z | 2021-12-02T11:08:29.000Z | from sqlalchemy.ext.declarative import as_declarative
from sqlalchemy import Column, Integer
@as_declarative()
class Base:
__table_args__ = {'schema': 'public'}
id = Column(Integer, primary_key=True, index=True, autoincrement=True)
| 24.3 | 74 | 0.765432 | 30 | 243 | 5.933333 | 0.666667 | 0.157303 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.135802 | 243 | 9 | 75 | 27 | 0.847619 | 0 | 0 | 0 | 0 | 0 | 0.049383 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.833333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
27bec64e49475202d63e1e459508ce1c6692b57c | 399 | py | Python | profiles/migrations/0023_remove_newsletter_fields.py | Sukriva/open-city-profile | 8c8df883457b9c79534dc9f7b57d556143362229 | [
"MIT"
] | 5 | 2020-03-17T15:56:17.000Z | 2022-01-31T13:43:31.000Z | profiles/migrations/0023_remove_newsletter_fields.py | Sukriva/open-city-profile | 8c8df883457b9c79534dc9f7b57d556143362229 | [
"MIT"
] | 337 | 2018-05-21T08:35:05.000Z | 2022-03-14T07:38:15.000Z | profiles/migrations/0023_remove_newsletter_fields.py | Sukriva/open-city-profile | 8c8df883457b9c79534dc9f7b57d556143362229 | [
"MIT"
] | 10 | 2019-08-05T08:16:06.000Z | 2021-08-06T15:08:44.000Z | # Generated by Django 2.2.10 on 2020-03-30 06:22
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
("profiles", "0022_add_newsletter_options"),
]
operations = [
migrations.RemoveField(model_name="profile", name="newsletters_via_email",),
migrations.RemoveField(model_name="profile", name="newsletters_via_sms",),
]
| 24.9375 | 84 | 0.694236 | 46 | 399 | 5.826087 | 0.695652 | 0.156716 | 0.19403 | 0.223881 | 0.410448 | 0.410448 | 0.410448 | 0.410448 | 0 | 0 | 0 | 0.06135 | 0.182957 | 399 | 15 | 85 | 26.6 | 0.760736 | 0.115288 | 0 | 0 | 1 | 0 | 0.253561 | 0.136752 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 0 | 0.444444 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
27c2d441e88966e39cf024b80529211f8e75136d | 311 | py | Python | release/stubs.min/System/__init___parts/FtpStyleUriParser.py | tranconbv/ironpython-stubs | a601759e6c6819beff8e6b639d18a24b7e351851 | [
"MIT"
] | null | null | null | release/stubs.min/System/__init___parts/FtpStyleUriParser.py | tranconbv/ironpython-stubs | a601759e6c6819beff8e6b639d18a24b7e351851 | [
"MIT"
] | null | null | null | release/stubs.min/System/__init___parts/FtpStyleUriParser.py | tranconbv/ironpython-stubs | a601759e6c6819beff8e6b639d18a24b7e351851 | [
"MIT"
] | null | null | null | class FtpStyleUriParser(UriParser):
"""
A customizable parser based on the File Transfer Protocol (FTP) scheme.
FtpStyleUriParser()
"""
def ZZZ(self):
"""hardcoded/mock instance of the class"""
return FtpStyleUriParser()
instance=ZZZ()
"""hardcoded/returns an instance of the class"""
| 25.916667 | 74 | 0.697749 | 35 | 311 | 6.2 | 0.685714 | 0.092166 | 0.119816 | 0.165899 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.186495 | 311 | 11 | 75 | 28.272727 | 0.857708 | 0.421222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
27d2c3eac2e74469eddf8010b4ad614799bf2306 | 27 | py | Python | TikzBuilder/__init__.py | rblack42/TikzBuilder | ec69517db422ebda947c6e236c0b9ea597c3a934 | [
"BSD-3-Clause"
] | null | null | null | TikzBuilder/__init__.py | rblack42/TikzBuilder | ec69517db422ebda947c6e236c0b9ea597c3a934 | [
"BSD-3-Clause"
] | null | null | null | TikzBuilder/__init__.py | rblack42/TikzBuilder | ec69517db422ebda947c6e236c0b9ea597c3a934 | [
"BSD-3-Clause"
] | null | null | null | __all__ = ['TikzBuilder']
| 9 | 25 | 0.666667 | 2 | 27 | 7 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.148148 | 27 | 2 | 26 | 13.5 | 0.608696 | 0 | 0 | 0 | 0 | 0 | 0.423077 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
7e0dbfeb1854683752f9295aa567b86e589da40e | 216 | py | Python | ecommerce/profiles/admin.py | kurniantoska/ecommerce | a30c51417dd8183517cb2feb8f0efdc8ec202421 | [
"MIT"
] | null | null | null | ecommerce/profiles/admin.py | kurniantoska/ecommerce | a30c51417dd8183517cb2feb8f0efdc8ec202421 | [
"MIT"
] | null | null | null | ecommerce/profiles/admin.py | kurniantoska/ecommerce | a30c51417dd8183517cb2feb8f0efdc8ec202421 | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import Profile
# Register your models here.
class ProfileAdmin(admin.ModelAdmin):
class Meta:
fields = '__all__'
admin.site.register(Profile, ProfileAdmin) | 21.6 | 42 | 0.75463 | 26 | 216 | 6.115385 | 0.653846 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.166667 | 216 | 10 | 42 | 21.6 | 0.883333 | 0.12037 | 0 | 0 | 0 | 0 | 0.037037 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
fd830541ce91868a247dc0b1a215b27802ce9a2f | 7,379 | py | Python | thesis/src/consultas/cons_scopes_simple.py | gmonce/bioscope | b5ad3b5a769b92ef071954c6ff9fc0ebf5b6d4e3 | [
"MIT"
] | 1 | 2022-03-30T09:24:01.000Z | 2022-03-30T09:24:01.000Z | thesis/src/consultas/cons_scopes_simple.py | gmonce/bioscope | b5ad3b5a769b92ef071954c6ff9fc0ebf5b6d4e3 | [
"MIT"
] | 1 | 2020-04-07T20:42:23.000Z | 2020-04-11T17:06:53.000Z | thesis/src/consultas/cons_scopes_simple.py | gmonce/bioscope | b5ad3b5a769b92ef071954c6ff9fc0ebf5b6d4e3 | [
"MIT"
] | 1 | 2022-03-30T09:24:04.000Z | 2022-03-30T09:24:04.000Z | # -*- coding: utf-8 -*-
# Uso: python cons_scopes_simple.py $BIOSCOPE tabla
# Script que mira las oraciones en el corpus de entrenamiento y se fija si coincide con el scope de algún constituyente del aŕbol sintáctico
import pln_inco.bioscope as bioscope
import pln_inco.bioscope.util
import os.path
import time
import sys
import yaml
import sqlite3
working_dir=sys.argv[1]
table=sys.argv[2]
dbname=os.path.join(working_dir,'bioscope.db')
script_name=os.path.join(sys.path[0],sys.argv[0])
t0=time.clock()
# Inicializo la conección a la base de datos
conn= sqlite3.connect(dbname)
conn.text_factory = str
conn.row_factory=sqlite3.Row
c=conn.cursor()
c1=conn.cursor()
err=conn.cursor()
# Inicializo el diccionario de hedge cues
hc_list=dict([])
#Consulto todas las oraciones con error
err.execute("select document_id,sentence_id,hc_start from "+ table+" where scope<>guessed_scope group by document_id,sentence_id,hc_start")
for e in err:
c.execute("select document_id,sentence_id,hc_start,hc_token,pos,hc_parent_pos,hc_gparent_pos,hc_ggparent_pos, passive_voice from "+table+" where document_id=? and sentence_id=? and hc_start=? and token_num=hc_start", [e['document_id'],e['sentence_id'], e['hc_start']])
for row in c:
hc_token=row['hc_token']
pos=row['pos']
sentence_id=row['sentence_id']
route=pos
#if hc_token not in hc_list:
# hc_list[hc_token]=dict([])
#if route not in hc_list[hc_token]:
# hc_list[hc_token][route]=[0,0,0,0,[],[],0,0,[],0]
found=False
# Veo si coincide el scope con el padre
c1.execute("select count(*) cant from "+table+" where document_id=? and sentence_id=? and hc_start=? and scope<>in_hc_parent_scope",(row['document_id'],row['sentence_Id'],row['hc_start']))
for row1 in c1:
if row1['cant']==0:
#hc_list[hc_token][route][0]+=1
coincidence='P'
found=True
# Veo si coincide el scope con el abuelo
if not found:
c1.execute("select count(*) cant from "+table+" where document_id=? and sentence_id=? and hc_start=? and scope<>in_hc_gparent_scope",(row['document_id'],row['sentence_Id'],row['hc_start']))
for row1 in c1:
if row1['cant']==0:
#hc_list[hc_token][route][1]+=1
coincidence='GP'
found=True
# Veo si coincide el scope con el bisabuelo
if not found:
c1.execute("select count(*) cant from "+table+" where document_id=? and sentence_id=? and hc_start=? and scope<>in_hc_ggparent_scope",(row['document_id'],row['sentence_Id'],row['hc_start']))
for row1 in c1:
if row1['cant']==0:
#hc_list[hc_token][route][2]+=1
coincidence='GGP'
found=True
# Veo si coincide con el scope del tatarabuelo
if not found:
c1.execute("select count(*) cant from "+table+" where document_id=? and sentence_id=? and hc_start=? and scope<>in_hc_gggparent_scope",(row['document_id'],row['sentence_Id'],row['hc_start']))
for row1 in c1:
if row1['cant']==0:
#hc_list[hc_token][route][9]+=1
coincidence='GGGP'
found=True
# Veo si coincide con algun scope de mas arriba
if not found:
c1.execute("select count(*) cant from "+table+" where document_id=? and sentence_id=? and hc_start=? and scope<>in_nextS_scope",(row['document_id'],row['sentence_Id'],row['hc_start']))
for row1 in c1:
if row1['cant']==0:
coincidence='OTHER'
found=True
# No coincide con ninguno
if not found:
coincidence='NONE'
# Veo ahora si lo guessed coincide con alguno
found=False
# Veo si coincide el scope con el padre
c1.execute("select count(*) cant from "+table+" where document_id=? and sentence_id=? and hc_start=? and guessed_scope<>in_hc_parent_scope",(row['document_id'],row['sentence_Id'],row['hc_start']))
for row1 in c1:
if row1['cant']==0:
#hc_list[hc_token][route][0]+=1
gcoincidence='P'
found=True
# Veo si coincide el scope con el abuelo
if not found:
c1.execute("select count(*) cant from "+table+" where document_id=? and sentence_id=? and hc_start=? and guessed_scope<>in_hc_gparent_scope",(row['document_id'],row['sentence_Id'],row['hc_start']))
for row1 in c1:
if row1['cant']==0:
#hc_list[hc_token][route][1]+=1
gcoincidence='GP'
found=True
# Veo si coincide el scope con el bisabuelo
if not found:
c1.execute("select count(*) cant from "+table+" where document_id=? and sentence_id=? and hc_start=? and guessed_scope<>in_hc_ggparent_scope",(row['document_id'],row['sentence_Id'],row['hc_start']))
for row1 in c1:
if row1['cant']==0:
#hc_list[hc_token][route][2]+=1
gcoincidence='GGP'
found=True
# Veo si coincide con el scope del tatarabuelo
if not found:
c1.execute("select count(*) cant from "+table+" where document_id=? and sentence_id=? and hc_start=? and guessed_scope<>in_hc_gggparent_scope",(row['document_id'],row['sentence_Id'],row['hc_start']))
for row1 in c1:
if row1['cant']==0:
#hc_list[hc_token][route][9]+=1
gcoincidence='GGGP'
found=True
# Veo si coincide con algun scope de mas arriba
if not found:
c1.execute("select count(*) cant from "+table+" where document_id=? and sentence_id=? and hc_start=? and guessed_scope<>in_nextS_scope",(row['document_id'],row['sentence_Id'],row['hc_start']))
for row1 in c1:
if row1['cant']==0:
gcoincidence='OTHER'
found=True
# No coincide con ninguno
if not found:
gcoincidence='NONE'
# Obtengo el texto del scope predicho
# Primero obtengo el comienzo
c1.execute("select token_num from "+table+" where document_id=? and sentence_id=? and hc_start=? and scope='F'",(row['document_id'],row['sentence_id'], row['hc_start']))
first=None
for row1 in c1:
first=row1['token_num']
last=None
# Obtengo el final
c1.execute("select token_num from "+table+" where document_id=? and sentence_id=? and hc_start=? and scope='L'",(row['document_id'],row['sentence_id'], row['hc_start']))
for row1 in c1:
last=row1['token_num']
# Obtengo el texto
if first and last:
c1.execute("select word from "+table+" where document_id=? and sentence_id=? and hc_start=? and token_num between ? and ?",(row['document_id'],row['sentence_id'], row['hc_start'],first,last))
texto=""
for row1 in c1:
texto+=row1['word']
texto+=" "
texto=texto[0:len(texto)-1]
else:
texto="None"
# Obtengo el texto del scope original
# Primero obtengo el comienzo
first=None
c1.execute("select token_num from "+table+" where document_id=? and sentence_id=? and hc_start=? and guessed_scope='F'",(row['document_id'],row['sentence_id'], row['hc_start']))
for row1 in c1:
first=row1['token_num']
# Obtengo el final
last=None
c1.execute("select token_num from "+table+" where document_id=? and sentence_id=? and hc_start=? and guessed_scope='L'",(row['document_id'],row['sentence_id'], row['hc_start']))
for row1 in c1:
last=row1['token_num']
# Obtengo el texto
if first and last:
c1.execute("select word from "+table+" where document_id=? and sentence_id=? and hc_start=? and token_num between ? and ?",(row['document_id'],row['sentence_id'], row['hc_start'],first,last))
gtexto=""
for row1 in c1:
gtexto+=row1['word']
gtexto+=" "
gtexto=gtexto[0:len(gtexto)-1]
else:
gtexto="None"
# Muestro los resultados
print "#".join([sentence_id,str(e['hc_start']),hc_token,route,coincidence, gcoincidence,texto,gtexto])
| 37.841026 | 269 | 0.692099 | 1,194 | 7,379 | 4.103015 | 0.132328 | 0.081649 | 0.051439 | 0.076342 | 0.72525 | 0.714023 | 0.692794 | 0.692794 | 0.667279 | 0.667279 | 0 | 0.017866 | 0.158016 | 7,379 | 194 | 270 | 38.036082 | 0.770642 | 0.196775 | 0 | 0.492063 | 0 | 0 | 0.458376 | 0.076283 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.007937 | 0.055556 | null | null | 0.007937 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
fd9618664966e322d4e9be3a30506b9e85c4dc6e | 25 | py | Python | application/lib/storage/__init__.py | taewookimfardark/gnp_server | 3318d3348c4f0849eb9e3523d27259647aa1f706 | [
"Apache-2.0"
] | null | null | null | application/lib/storage/__init__.py | taewookimfardark/gnp_server | 3318d3348c4f0849eb9e3523d27259647aa1f706 | [
"Apache-2.0"
] | null | null | null | application/lib/storage/__init__.py | taewookimfardark/gnp_server | 3318d3348c4f0849eb9e3523d27259647aa1f706 | [
"Apache-2.0"
] | null | null | null | __author__ = 'taewookim'
| 12.5 | 24 | 0.76 | 2 | 25 | 7.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.12 | 25 | 1 | 25 | 25 | 0.681818 | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
fdaa540df99f3efc90e8ab036e19bbb63a0ffe02 | 250 | py | Python | sample/models.py | imtapps/django-google-maps | 1c85102b05a0dc86a5b04f913c79534cdb0f0801 | [
"BSD-2-Clause"
] | null | null | null | sample/models.py | imtapps/django-google-maps | 1c85102b05a0dc86a5b04f913c79534cdb0f0801 | [
"BSD-2-Clause"
] | null | null | null | sample/models.py | imtapps/django-google-maps | 1c85102b05a0dc86a5b04f913c79534cdb0f0801 | [
"BSD-2-Clause"
] | null | null | null | from django.db import models
from django_google_maps.fields import AddressField, GeoLocationField
# Create your models here.
class SampleModel(models.Model):
address = AddressField(max_length=100)
geolocation = GeoLocationField(blank=True)
| 27.777778 | 68 | 0.804 | 30 | 250 | 6.6 | 0.766667 | 0.10101 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013761 | 0.128 | 250 | 8 | 69 | 31.25 | 0.894495 | 0.096 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.4 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
fdb4558075775c0ec22400a6d39583aa8dba89c7 | 12,133 | py | Python | engine/stats/modifiers.py | kiciek/WarhammerStatsEngine | 3e4396435e9ba0edb89aba64d101dd79a1814093 | [
"MIT"
] | null | null | null | engine/stats/modifiers.py | kiciek/WarhammerStatsEngine | 3e4396435e9ba0edb89aba64d101dd79a1814093 | [
"MIT"
] | null | null | null | engine/stats/modifiers.py | kiciek/WarhammerStatsEngine | 3e4396435e9ba0edb89aba64d101dd79a1814093 | [
"MIT"
] | null | null | null | from .pmf import PMF, PMFCollection
class Modifier(object):
"""
Base class for Modifiers. 'priority' is used for order of opperations and
for re-rolls it determines the which re-roll is applied.
e.g. full re-roll > re-roll failed > re-roll 1s
"""
priority = 0
def __init__(self, *args, **kwargs):
pass
def modify_dice(self, col, thresh=None, mod_thresh=None):
return col
def modify_re_roll(self, col, thresh=None, mod_thresh=None):
return col
def modify_threshold(self, thresh):
return thresh
def modify_save(self, save):
return save
def modify_ap(self, ap):
return ap
def modify_invuln(self, invuln):
return invuln
def mod_extra_hit(self):
return None
def extra_hit(self):
return None
def mod_extra_shot(self):
return None
def extra_shot(self):
return None
def mod_extra_wound(self):
return None
def extra_wound(self):
return None
def mod_mortal_wound(self):
return None
def mortal_wound(self):
return None
def modify_drones(self):
return False, 7, 7
def modify_self_wounds(self):
return 0
class MinimumValue(Modifier):
def __init__(self, min_val):
self.min_val = min_val
def modify_dice(self, col, thresh=None, mod_thresh=None):
return col.map(lambda x: x.min(self.min_val))
class ExplodingDice(Modifier):
def __init__(self, thresh, value):
self.thresh = max(0, min(7, thresh))
self.value = value
def _pmf_collection(self):
return PMFCollection([PMF.static(0)] * self.thresh + [PMF.static(self.value)] * (7 - self.thresh))
class ModExtraHit(ExplodingDice):
def mod_extra_hit(self):
return self._pmf_collection()
class ExtraHit(ExplodingDice):
def extra_hit(self):
return self._pmf_collection()
class ModExtraAttack(ExplodingDice):
def mod_extra_shot(self):
return self._pmf_collection()
class ExtraShot(ExplodingDice):
def extra_shot(self):
return self._pmf_collection()
class ModExtraWound(ExplodingDice):
def mod_extra_wound(self):
return self._pmf_collection()
class ExtraWound(ExplodingDice):
def extra_wound(self):
return self._pmf_collection()
class GenerateMortalWound(ExplodingDice):
def mortal_wound(self):
return self._pmf_collection()
class ModGenerateMortalWound(ExplodingDice):
def mod_mortal_wound(self):
return self._pmf_collection()
class Haywire(ExplodingDice):
def mod_mortal_wound(self):
col = [PMF.static(0), PMF.static(0), PMF.static(0), PMF.static(0), PMF.static(1), PMF.static(1), PMF.dn(3)]
return PMFCollection(col)
class ReRollOnes(Modifier):
priority = 1
def modify_re_roll(self, col, thresh=None, mod_thresh=None):
return col.map(lambda x: x.re_roll_value(1))
class ReRollFailed(Modifier):
priority = 99
def modify_re_roll(self, col, thresh=None, mod_thresh=None):
rr_thresh = min(thresh, mod_thresh)
return col.map(lambda x: x.re_roll_less_than(rr_thresh))
class ReRollOneDice(Modifier):
def modify_re_roll(self, col, thresh=None, mod_thresh=None):
pmfs = col.pmfs
if not pmfs:
return col
pmfs[0] = pmfs[0].re_roll_less_than(thresh)
return PMFCollection(pmfs)
class ModReRollOneDice(Modifier):
def modify_re_roll(self, col, thresh=None, mod_thresh=None):
pmfs = col.pmfs
if not pmfs:
return col
pmfs[0] = pmfs[0].re_roll_less_than(mod_thresh)
return PMFCollection(pmfs)
class ReRollOneDiceVolume(Modifier):
def modify_re_roll(self, col, thresh=None, mod_thresh=None):
pmfs = col.pmfs
if not pmfs:
return col
pmfs[0] = pmfs[0].re_roll_less_than(pmfs[0].mean())
return PMFCollection(pmfs)
class ReRollAll(Modifier):
priority = 100
def modify_re_roll(self, col, thresh=None, mod_thresh=None):
return col.map(lambda x: x.re_roll_less_than(mod_thresh))
class ReRollLessThanExpectedValue(Modifier):
priority = 98
def modify_re_roll(self, col, thresh=None, mod_thresh=None):
return col.map(lambda x: x.re_roll_less_than(x.mean()))
class Melta(Modifier):
def modify_dice(self, col, thresh=None, mod_thresh=None):
return col.map(lambda x: x.melta())
class AddNTo(Modifier):
def __init__(self, value=0, *args, **kwargs):
self.n = value
self.priority = self.n
class AddNToThreshold(AddNTo):
def modify_threshold(self, thresh):
return thresh - self.n
class AddNToAP(AddNTo):
def modify_ap(self, ap):
return ap - self.n
class AddNToSave(AddNTo):
def modify_save(self, save):
return save - self.n
class AddNToInvuln(AddNTo):
def modify_invuln(self, invuln):
return invuln - self.n
class AddNToVolume(AddNTo):
def modify_dice(self, col, thresh=None, mod_thresh=None):
return col.map(lambda x: x.roll(self.n))
class AddD6(AddNTo):
def modify_dice(self, col, thresh=None, mod_thresh=None):
return PMFCollection(col.pmfs+[PMF.dn(6)])
class AddD3(AddNTo):
def modify_dice(self, col, thresh=None, mod_thresh=None):
return PMFCollection(col.pmfs+[PMF.dn(3)])
class SetToN(Modifier):
def __init__(self, value=0, *args, **kwargs):
self.n = value
class SetThresholdToN(SetToN):
def modify_threshold(self, thresh):
return self.n
class SetAPToN(SetToN):
def modify_ap(self, ap):
return self.n
class SetSaveToN(SetToN):
def modify_save(self, save):
return self.n
class SetInvulnToN(SetToN):
def modify_invuln(self, invuln):
return self.n
class IgnoreAP(Modifier):
def __init__(self, value=0, *args, **kwargs):
self.ap = value
def modify_ap(self, ap):
return 0 if ap <= self.ap else ap
class IgnoreInvuln(Modifier):
def modify_invuln(self, ap):
return 7
class HalfDamage(Modifier):
def modify_dice(self, col, thresh=None, mod_thresh=None):
return col.map(lambda x: x.div_min_one(2))
class ShieldDrone(Modifier):
def modify_drones(self):
return True, 2, 5
class NormalDrone(Modifier):
def modify_drones(self):
return True, 2, 7
class Overheat(Modifier):
def modify_self_wounds(self):
return 2
class ModifierCollection(object):
"""
Used to keep track of any modifiers to the attack
"""
def __init__(self, data=None):
self._data = {'shots': [], 'hit': [], 'wound': [], 'pen': [], 'fnp': [], 'damage': []}
self.merge_dicts(data or {})
def merge_dicts(self, mod_dict):
for mod_name in self._data:
self._data[mod_name] += mod_dict.get(mod_name, [])
self._sort_modifiers()
def add_mods(self, mod_name, mods):
self._data[mod_name] += mods
def _sort_modifiers(self):
for mod_name in self._data:
self._data[mod_name] = sorted(
self._data[mod_name],
key=lambda x: x.priority,
reverse=True
)
def _shot_mods(self):
return self._data.get('shots', [])
def _hit_mods(self):
return self._data.get('hit', [])
def _wound_mods(self):
return self._data.get('wound', [])
def _pen_mods(self):
return self._data.get('pen', [])
def _fnp_mods(self):
return self._data.get('fnp', [])
def _damage_mods(self):
return self._data.get('damage', [])
def _get_mods(self, mods_name):
return self._data.get(mods_name, [])
def _mod_dice(self, col, mods, thresh=None, mod_thresh=None):
"""
Apply dice modifications. Rerolls happen before modifiers.
"""
for mod in mods:
col = mod.modify_re_roll(col, thresh, mod_thresh)
for mod in mods:
col = mod.modify_dice(col, thresh, mod_thresh)
return col
def modify_shot_dice(self, dists):
"""
Modify the PMF of shot volume the dice. Ususally for re-rolls.
"""
return self._mod_dice(dists, self._shot_mods())
def modify_hit_thresh(self, thresh):
"""
Modify the hit threshold. Important to note the -1 to hit modifiers actually
are a +1 to the threshold. Similarly +1 to hits are -1 to the threshold.
"""
if thresh == 1:
# Handle the case where the weapon is auto hit. No to hit modifiers map
return thresh
for mod in self._hit_mods():
thresh = mod.modify_threshold(thresh)
return max(thresh, 2) #1's always fail
def modify_hit_dice(self, dists, thresh, mod_thresh):
"""
Modify the PMF of hit dice. Ususally for re-rolls.
"""
return self._mod_dice(dists, self._hit_mods(), thresh, mod_thresh)
def modify_wound_thresh(self, thresh):
"""
Modify the wound threshold. Important to note the -1 to wound modifiers actually
are a +1 to the threshold. Similarly +1 are -1 to the threshold.
"""
for mod in self._wound_mods():
thresh = mod.modify_threshold(thresh)
return max(2, thresh) # 1's always fail
def modify_wound_dice(self, dists, thresh, mod_thresh):
"""
Modify the PMF of hit dice. Ususally for re-rolls.
"""
return self._mod_dice(dists, self._wound_mods(), thresh, mod_thresh)
def modify_pen_thresh(self, save, ap, invuln):
"""
Modify the pen threshold by modifying the save, ap, and invuln
"""
for mod in self._pen_mods():
save = mod.modify_save(save)
for mod in self._pen_mods():
ap = mod.modify_ap(ap)
for mod in self._pen_mods():
invuln = mod.modify_invuln(invuln)
return min(max(save + ap, 2), max(invuln, 2)) # 1's alwasys fail
def modify_pen_dice(self, dists, thresh, mod_thresh):
"""
Modify the PMF of the pen dice. Ususally for re-rolls.
"""
return self._mod_dice(dists, self._pen_mods(), thresh, mod_thresh)
def modify_drone(self):
"""
Return if the attack should be modified by saviour protocols
"""
enabled = False
thresh = 7
fnp = 7
for mod in self._pen_mods():
e, t, f = mod.modify_drones()
enabled = enabled or e
thresh = thresh if thresh < t else t
fnp = fnp if fnp < f else f
return enabled, thresh, fnp
def modify_self_wounds(self):
"""
Return threshold for self wound
"""
thresh = 0
for mod in self._hit_mods():
mod_thresh = mod.modify_self_wounds()
thresh = thresh if thresh > mod_thresh else mod_thresh
return thresh
def modify_fnp_thresh(self, thresh):
"""
Modify the fnp threshold. I think some death guard units can do this?
"""
for mod in self._fnp_mods():
thresh = mod.modify_save(thresh)
return max(thresh, 2) # 1's alwasys fail
def modify_fnp_dice(self, dists, thresh, mod_thresh):
"""
Modify the PMF of the FNP dice. Ususally for re-rolls.
"""
return self._mod_dice(dists, self._fnp_mods(), thresh, mod_thresh)
def modify_damage_dice(self, dists):
"""
Modify the damage dice
"""
return self._mod_dice(dists, self._damage_mods())
def sum_generators(self, mod_list, attr_name):
cols = [getattr(mod, attr_name)() for mod in mod_list]
cols = [x for x in cols if x]
return PMFCollection.add_many(cols)
def get_mod_extra_hit(self):
"""
Generate extra hits on a modfiable value
"""
return self.sum_generators(self._hit_mods(), 'mod_extra_hit')
def get_extra_hit(self):
"""
Generate extra hits on a static value
"""
return self.sum_generators(self._hit_mods(), 'extra_hit')
def get_mod_extra_shot(self):
"""
Generate extra shots on a modfiable value
"""
return self.sum_generators(self._hit_mods(), 'mod_extra_shot')
def get_extra_shot(self):
"""
Generate extra shots on a static value
"""
return self.sum_generators(self._hit_mods(), 'extra_shot')
def get_mod_extra_wound(self):
"""
Generate extra wounds on a modfiable value
"""
return self.sum_generators(self._wound_mods(), 'mod_extra_wound')
def get_extra_wound(self):
"""
Generate extra wounds on a static value
"""
return self.sum_generators(self._wound_mods(), 'extra_wound')
def get_mod_mortal_wounds(self, mods_name):
"""
Generate mortal wounds on a modfiable value
"""
return self.sum_generators(self._get_mods(mods_name), 'mod_mortal_wound')
def get_mortal_wounds(self, mods_name):
"""
Generate mortal wounds on a static value
"""
return self.sum_generators(self._get_mods(mods_name), 'mortal_wound')
| 25.068182 | 111 | 0.683013 | 1,780 | 12,133 | 4.45 | 0.114607 | 0.052266 | 0.026259 | 0.038379 | 0.62429 | 0.576316 | 0.452721 | 0.397046 | 0.310441 | 0.305517 | 0 | 0.007027 | 0.202423 | 12,133 | 483 | 112 | 25.120083 | 0.811512 | 0.129482 | 0 | 0.380282 | 0 | 0 | 0.014694 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.320423 | false | 0.003521 | 0.003521 | 0.190141 | 0.78169 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
fde4444d8aa3bbb11a2e42be755048422166a96b | 7,783 | py | Python | LightningFunc/step.py | Leyan529/ImageSegmentationPL | c41d6b4d2fa86620601dd4401775494d372f07b2 | [
"MIT"
] | null | null | null | LightningFunc/step.py | Leyan529/ImageSegmentationPL | c41d6b4d2fa86620601dd4401775494d372f07b2 | [
"MIT"
] | null | null | null | LightningFunc/step.py | Leyan529/ImageSegmentationPL | c41d6b4d2fa86620601dd4401775494d372f07b2 | [
"MIT"
] | null | null | null | import torch
from torch._C import dtype
from torchvision.utils import save_image
from LightningFunc.utils import *
from LightningFunc.optimizer import get_lr
import numpy as np
import cv2
def training_step(self, batch, batch_idx):
# training_step defined the train loop.
# It is independent of forward
x, y = batch
self.reference_image = x
out = self.forward(x)
loss = self.criterion(out, y)
# acc
predicted = np.argmax(out.clone().detach().data.cpu().numpy(), axis=1)
self.prepare_matrix(y.clone().detach().cpu().numpy(), predicted)
self.logger.experiment.add_scalars("Loss/Step", {"Train":loss}, self.global_step)
return {'loss':loss}
def training_epoch_end(self, outputs): # 在Validation的一個Epoch結束後，計算平均的Loss及Acc.
avg_loss = torch.stack([x['loss'] for x in outputs]).mean()
avg_train_Acc, avg_train_Acc_class, avg_train_mIoU, avg_train_FWIoU = self.generate_score()
self.confusion_matrix = np.zeros((self.num_classes,) * 2)
self.logger.experiment.add_scalars("Loss/Epoch", {"Train":avg_loss}, self.current_epoch)
self.logger.experiment.add_scalars("Accuracy/Acc_normal", {"Train":avg_train_Acc}, self.current_epoch)
self.logger.experiment.add_scalars("Accuracy/Acc_class", {"Train":avg_train_Acc_class}, self.current_epoch)
self.logger.experiment.add_scalars("Accuracy/mIoU", {"Train":avg_train_mIoU}, self.current_epoch)
self.logger.experiment.add_scalars("Accuracy/FWIoU", {"Train":avg_train_FWIoU}, self.current_epoch)
if(self.current_epoch==1):
self.logger.experiment.add_graph(self, self.sampleImg)
# iterating through all parameters
for name,params in self.named_parameters():
self.logger.experiment.add_histogram(name,params,self.current_epoch)
def validation_step(self, batch, batch_idx):
x, y = batch
out = self.forward(x)
loss = self.criterion(out, y)
# acc
predicted = np.argmax(out.clone().detach().data.cpu().numpy(), axis=1)
self.prepare_matrix(y.clone().detach().cpu().numpy(), predicted)
# show result
pred_rgb = decode_seg_map_sequence(predicted, self.args.data_module)
orign_img = np.array(x[0].cpu(), dtype=np.float64)
orign_img = orign_img.transpose((1, 2, 0))
orign_img *= (0.229, 0.224, 0.225)
orign_img += (0.485, 0.456, 0.406)
orign_img *= 255.0
orign_img = cv2.resize(orign_img, dsize=(512, 256), interpolation=cv2.INTER_LINEAR)
# ratio = 0.7
ratio = 0.0
pred_rgb = pred_rgb[0].cpu().numpy().transpose((1, 2, 0))*255
pred_rgb = cv2.resize(pred_rgb, dsize=(512, 256), interpolation=cv2.INTER_LINEAR)
pred_rgb = np.add(orign_img*ratio , pred_rgb*(1 - ratio))
# loss
values = {'val_loss':loss}
self.log_dict(values, logger=True, on_epoch=True)
return {'val_loss':loss, "orign_img": torch.from_numpy(orign_img/255).type(torch.FloatTensor), \
"pred_img":torch.from_numpy(pred_rgb/255).type(torch.FloatTensor) }
def validation_epoch_end(self, outputs): # 在Validation的一個Epoch結束後，計算平均的Loss及Acc.
avg_loss = torch.stack([x['val_loss'] for x in outputs]).mean()
avg_Val_Acc, avg_Val_Acc_class, avg_Val_mIoU, avg_Val_FWIoU = self.generate_score()
self.confusion_matrix = np.zeros((self.num_classes,) * 2)
self.logger.experiment.add_scalars("Loss/Epoch", {"Val":avg_loss}, self.current_epoch)
self.logger.experiment.add_scalars("Loss/Step", {"Val":avg_loss}, self.global_step)
self.logger.experiment.add_scalars("Accuracy/Acc_normal", {"Val":avg_Val_Acc}, self.current_epoch)
self.logger.experiment.add_scalars("Accuracy/Acc_class", {"Val":avg_Val_Acc_class}, self.current_epoch)
self.logger.experiment.add_scalars("Accuracy/mIoU", {"Val":avg_Val_mIoU}, self.current_epoch)
self.logger.experiment.add_scalars("Accuracy/FWIoU", {"Val":avg_Val_FWIoU}, self.current_epoch)
orign_imgs = torch.stack([x['orign_img'] for x in outputs[:4]])
orign_imgs = orign_imgs[:,:,:,[2,1,0]]
self.logger.experiment.add_image("validation_%s/orign_img" %(self.current_epoch),
orign_imgs,
self.current_epoch,
dataformats="NHWC")
pred_imgs = torch.stack([x['pred_img'] for x in outputs[:4]])
pred_imgs = pred_imgs[:,:,:,[2,1,0]]
self.logger.experiment.add_image("validation_%s/pred_img" %(self.current_epoch),
pred_imgs,
self.current_epoch,
dataformats="NHWC")
self.write_Best_model_path()
def test_step(self, batch, batch_idx): #定義 Test 階段
x, y = batch
out = self.forward(x)
# acc
predicted = np.argmax(out.clone().detach().data.cpu().numpy(), axis=1)
self.prepare_matrix(y.clone().detach().cpu().numpy(), predicted)
# show result
pred_rgb = decode_seg_map_sequence(predicted, self.args.data_module)
orign_img = np.array(x[0].cpu(), dtype=np.float64)
orign_img = orign_img.transpose((1, 2, 0))
orign_img *= (0.229, 0.224, 0.225)
orign_img += (0.485, 0.456, 0.406)
orign_img *= 255.0
orign_img = cv2.resize(orign_img, dsize=(512, 256), interpolation=cv2.INTER_LINEAR)
# ratio = 0.7
ratio = 0.0
pred_rgb = pred_rgb[0].cpu().numpy().transpose((1, 2, 0))*255
pred_rgb = cv2.resize(pred_rgb, dsize=(512, 256), interpolation=cv2.INTER_LINEAR)
pred_rgb = np.add(orign_img*ratio , pred_rgb*(1 - ratio))
# orign_y = np.array(y.cpu(), dtype=np.float64)
# orign_y = orign_y.transpose((1, 2, 0))
# orign_y *= 255.0
# write cv2 IMG
# cv2.imwrite(os.path.join(self.dir, 'orign_img.png'.format(batch_idx)), orign_img)
# cv2.imwrite(os.path.join(self.dir, 'orign_y.png'.format(batch_idx)), orign_y)
# cv2.imwrite(os.path.join(self.dir, 'pred_rgb.png'.format(batch_idx)), pred_rgb)
return {"orign_img": torch.from_numpy(orign_img/255).type(torch.FloatTensor), \
"pred_img":torch.from_numpy(pred_rgb/255).type(torch.FloatTensor) }
def test_epoch_end(self, outputs): # 在test的一個Epoch結束後，計算平均的Loss及Acc.
# if self.args.data_module not in ["Cityscapes"]:
avg_Test_Acc, avg_Test_Acc_class, avg_Test_mIoU, avg_Test_FWIoU = self.generate_score()
self.confusion_matrix = np.zeros((self.num_classes,) * 2)
self.logger.experiment.add_scalars("Test/Acc_normal", {"":avg_Test_Acc}, self.current_epoch)
self.logger.experiment.add_scalars("Test/Acc_class", {"":avg_Test_Acc_class}, self.current_epoch)
self.logger.experiment.add_scalars("Test/mIoU", {"":avg_Test_mIoU}, self.current_epoch)
self.logger.experiment.add_scalars("Test/FWIoU", {"":avg_Test_FWIoU}, self.current_epoch)
# logging reference image
orign_imgs = torch.stack([x['orign_img'] for x in outputs[:4]])
orign_imgs = orign_imgs[:,:,:,[2,1,0]]
self.logger.experiment.add_image("Test_%s/orign_img" %(self.current_epoch),
orign_imgs,
self.current_epoch,
dataformats="NHWC")
pred_imgs = torch.stack([x['pred_img'] for x in outputs[:4]])
pred_imgs = pred_imgs[:,:,:,[2,1,0]]
self.logger.experiment.add_image("Test_%s/pred_img" %(self.current_epoch),
pred_imgs,
self.current_epoch,
dataformats="NHWC")
| 44.221591 | 114 | 0.635745 | 1,057 | 7,783 | 4.445601 | 0.143803 | 0.04767 | 0.08172 | 0.107682 | 0.763567 | 0.722494 | 0.722494 | 0.688444 | 0.677165 | 0.638647 | 0 | 0.028614 | 0.223179 | 7,783 | 176 | 115 | 44.221591 | 0.748594 | 0.091867 | 0 | 0.554545 | 0 | 0 | 0.066453 | 0.006558 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054545 | false | 0 | 0.063636 | 0 | 0.145455 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
fdf5e7706fc6679da48cd91a2530c7f85e111c68 | 372 | py | Python | spiders/utils/dynamics.py | jacobic/spiders | 287dcf041ba248dd369646236cdbf07ecf32d4e8 | [
"MIT"
] | null | null | null | spiders/utils/dynamics.py | jacobic/spiders | 287dcf041ba248dd369646236cdbf07ecf32d4e8 | [
"MIT"
] | null | null | null | spiders/utils/dynamics.py | jacobic/spiders | 287dcf041ba248dd369646236cdbf07ecf32d4e8 | [
"MIT"
] | null | null | null | from astropy import constants
def proper_velocity(zi, zclu):
# Computes proper velocities of member galaxes in numpy array
# zclu comes from clusterZ definition
"""
zi: redshift of the members
zclu: cluster redshift
Returns array of velocities
(Ruel et al. 2014)
"""
return constants.c * (zi - zclu) / (1. + zclu)
| 26.571429 | 65 | 0.634409 | 46 | 372 | 5.108696 | 0.695652 | 0.051064 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019011 | 0.293011 | 372 | 13 | 66 | 28.615385 | 0.874525 | 0.526882 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.333333 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
8bf66708bf0aa2c079f32207b30c73988620ed9f | 27 | py | Python | applications/STORAGE/redisPSCO/COMPSs-Redis-bundle/python/storage/__init__.py | srgrr/TFM | f6c302547fdfc9b1df3423cc4e927cd6bb83b345 | [
"MIT"
] | 6 | 2019-01-02T10:39:32.000Z | 2019-05-22T14:01:41.000Z | applications/STORAGE/redisPSCO/python/storage/__init__.py | srgrr/TFM | f6c302547fdfc9b1df3423cc4e927cd6bb83b345 | [
"MIT"
] | 1 | 2019-11-13T14:30:21.000Z | 2019-11-13T14:30:21.000Z | applications/STORAGE/redisPSCO/python/storage/__init__.py | srgrr/TFM | f6c302547fdfc9b1df3423cc4e927cd6bb83b345 | [
"MIT"
] | null | null | null | __name__ = "redispycompss"
| 13.5 | 26 | 0.777778 | 2 | 27 | 8.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.111111 | 27 | 1 | 27 | 27 | 0.708333 | 0 | 0 | 0 | 0 | 0 | 0.481481 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
e30864c53f11f67ca877299b3fa5502aa908de27 | 443 | py | Python | bouncer/app/internal.py | Klarrio/bouncer | f2116912adc43dafbb4b96668ebca17b3f924603 | [
"Apache-2.0"
] | 6 | 2018-11-30T22:10:20.000Z | 2022-02-13T14:20:37.000Z | bouncer/app/internal.py | Klarrio/bouncer | f2116912adc43dafbb4b96668ebca17b3f924603 | [
"Apache-2.0"
] | 6 | 2018-11-30T10:38:23.000Z | 2019-08-19T08:27:59.000Z | bouncer/app/internal.py | Klarrio/bouncer | f2116912adc43dafbb4b96668ebca17b3f924603 | [
"Apache-2.0"
] | 7 | 2018-11-28T14:50:50.000Z | 2022-03-01T13:16:36.000Z | # Copyright (C) Mesosphere, Inc. See LICENSE file for details.
"""Implement handlers for /internal* endpoints."""
from bouncer.app import http_openapi_spec_utf8
def get_module_route_handlers():
return {
'/internal/openapispec.yaml': OpenAPISpecYAML
}
class OpenAPISpecYAML:
def on_get(self, req, resp):
resp.content_type = 'application/x-yaml; charset=utf-8'
resp.data = http_openapi_spec_utf8
| 21.095238 | 63 | 0.702032 | 55 | 443 | 5.454545 | 0.763636 | 0.073333 | 0.1 | 0.126667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008451 | 0.198646 | 443 | 20 | 64 | 22.15 | 0.83662 | 0.239278 | 0 | 0 | 0 | 0 | 0.178248 | 0.07855 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0 | 0.111111 | 0.111111 | 0.555556 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
e31d969d816f0c9243bb8264a123d39874586fc3 | 113 | py | Python | TPs/TP7/test0.py | Aympab/BigDataHadoopSparkDaskCourse | 42f9e0475cbd7c5db240ccc6dc00c19b9006012a | [
"Apache-2.0"
] | null | null | null | TPs/TP7/test0.py | Aympab/BigDataHadoopSparkDaskCourse | 42f9e0475cbd7c5db240ccc6dc00c19b9006012a | [
"Apache-2.0"
] | null | null | null | TPs/TP7/test0.py | Aympab/BigDataHadoopSparkDaskCourse | 42f9e0475cbd7c5db240ccc6dc00c19b9006012a | [
"Apache-2.0"
] | 1 | 2022-01-31T17:14:27.000Z | 2022-01-31T17:14:27.000Z | import pyspark
from pyspark import SparkContext
sc =SparkContext()
nums= sc.parallelize([1,2,3,4])
nums.take(1)
| 18.833333 | 32 | 0.761062 | 18 | 113 | 4.777778 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.049505 | 0.106195 | 113 | 5 | 33 | 22.6 | 0.80198 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.4 | 0 | 0.4 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
e3390ac808e3c887645e988c97be5049924aea26 | 209 | py | Python | test_xml.py | tooploox/SPCConvert | c56b472e7f4ccb466c0eb9791bd6c4f6c828216e | [
"MIT"
] | 2 | 2019-05-03T05:02:58.000Z | 2022-01-10T18:23:38.000Z | test_xml.py | MicroscopeIT/SPCConvert | c56b472e7f4ccb466c0eb9791bd6c4f6c828216e | [
"MIT"
] | 1 | 2020-03-06T00:28:22.000Z | 2020-03-06T00:28:22.000Z | test_xml.py | hab-spc/SPCConvert | a31716a5b3e48a5ae333e5086a922e320ad16dbf | [
"MIT"
] | 4 | 2018-02-07T10:12:33.000Z | 2021-07-12T22:44:56.000Z | import os
import sys
import json
cfg = xmlsettings.XMLSettings(os.path.join(sys.path[0],'settings.xml'))
with open(os.path.join(sys.path[0],'config.json')) as data_file:
data = json.load(data_file)
| 20.9 | 71 | 0.712919 | 35 | 209 | 4.2 | 0.514286 | 0.081633 | 0.136054 | 0.176871 | 0.244898 | 0.244898 | 0 | 0 | 0 | 0 | 0 | 0.010989 | 0.129187 | 209 | 9 | 72 | 23.222222 | 0.796703 | 0 | 0 | 0 | 0 | 0 | 0.110577 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
e34f3ff4da512947982b8972f3fb6ada0f6d85c5 | 1,158 | py | Python | src/sima/workflow/blueprints/modelinputslot.py | SINTEF/simapy | 650b8c2f15503dad98e2bfc0d0788509593822c7 | [
"MIT"
] | null | null | null | src/sima/workflow/blueprints/modelinputslot.py | SINTEF/simapy | 650b8c2f15503dad98e2bfc0d0788509593822c7 | [
"MIT"
] | null | null | null | src/sima/workflow/blueprints/modelinputslot.py | SINTEF/simapy | 650b8c2f15503dad98e2bfc0d0788509593822c7 | [
"MIT"
] | null | null | null | #
# Generated with ModelInputSlotBlueprint
from dmt.blueprint import Blueprint
from dmt.dimension import Dimension
from dmt.attribute import Attribute
from dmt.enum_attribute import EnumAttribute
from dmt.blueprint_attribute import BlueprintAttribute
from sima.post.blueprints.inputslot import InputSlotBlueprint
class ModelInputSlotBlueprint(InputSlotBlueprint):
""""""
def __init__(self, name="ModelInputSlot", package_path="sima/workflow", description=""):
super().__init__(name,package_path,description)
self.attributes.append(Attribute("name","string","",default=""))
self.attributes.append(Attribute("description","string","",default=""))
self.attributes.append(Attribute("_id","string","",default=""))
self.attributes.append(BlueprintAttribute("scriptableValues","sima/sima/ScriptableValue","",True,Dimension("*")))
self.attributes.append(BlueprintAttribute("reference","sima/condition/ModelReferenceVariable","Model reference to be replaced",False))
self.attributes.append(Attribute("replaceChildren","boolean","If checked the children of the reference will replaced",default=False)) | 57.9 | 142 | 0.763385 | 118 | 1,158 | 7.381356 | 0.440678 | 0.096441 | 0.137773 | 0.13318 | 0.134328 | 0.096441 | 0 | 0 | 0 | 0 | 0 | 0 | 0.105354 | 1,158 | 20 | 143 | 57.9 | 0.840734 | 0.032815 | 0 | 0 | 1 | 0 | 0.231323 | 0.055806 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.4 | 0 | 0.533333 | 0.4 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
e34fe49af969eb34af635294209bdbbd22e79a63 | 5,763 | py | Python | app/forms.py | ES-UFABC/Grupo2.3 | 37387e8c472ab7d68a7eda51070b1320ff7ac843 | [
"MIT"
] | null | null | null | app/forms.py | ES-UFABC/Grupo2.3 | 37387e8c472ab7d68a7eda51070b1320ff7ac843 | [
"MIT"
] | 8 | 2022-03-21T21:54:12.000Z | 2022-03-28T22:59:15.000Z | app/forms.py | ES-UFABC/Grupo-17 | 37387e8c472ab7d68a7eda51070b1320ff7ac843 | [
"MIT"
] | 1 | 2022-02-24T00:23:38.000Z | 2022-02-24T00:23:38.000Z | from flask_wtf import FlaskForm
from wtforms import StringField, TextAreaField, DateField, DateTimeLocalField, PasswordField, SubmitField, SelectField, \
IntegerField
from wtforms.validators import InputRequired, DataRequired, EqualTo
class CreateUserForm(FlaskForm):
name = StringField(u'Nome', validators=[InputRequired()])
email = StringField(u'E-mail', validators=[InputRequired()])
password = PasswordField(u'Senha', validators=[InputRequired()])
password_confirmation = PasswordField(u'Confirmação de Senha',
validators=[InputRequired(), DataRequired(), EqualTo('password')])
hotel_id = SelectField('Hotel', validators=[DataRequired()])
profile = SelectField(u'Tipo de usuário', validators=[InputRequired()],
choices=['admin', 'gerente', 'recepcionista', 'financeiro'])
# date = DateTimeField(u'Data', format='%d/%m/%Y %H:%M')
# recaptcha = RecaptchaField(u'Recaptcha')
class EditarUsuario(FlaskForm):
name = StringField(u'Nome', validators=[InputRequired()])
email = StringField(u'E-mail', validators=[InputRequired()])
hotel_id = SelectField('Hotel', validators=[DataRequired()])
profile = SelectField(u'Tipo de usuário', validators=[InputRequired()],
choices=['admin', 'gerente', 'recepcionista', 'financeiro'])
submeter = SubmitField('Submeter')
class LoginForm(FlaskForm):
email = StringField(u'Email', validators=[InputRequired()])
password = PasswordField(u'Senha', validators=[InputRequired()])
class AdicionarHotel(FlaskForm):
name = StringField('Nome', validators=[DataRequired()])
phone = StringField('Telefone', validators=[DataRequired()])
email = StringField('E-mail', validators=[DataRequired()])
cnpj = StringField('CNPJ', validators=[DataRequired()])
endereco = StringField('Endereço', validators=[DataRequired()])
numero = StringField('Número', validators=[DataRequired()])
complemento = StringField('Complemento')
bairro = StringField('Bairro', validators=[DataRequired()])
cidade = StringField('Cidade', validators=[DataRequired()])
estado = StringField('Estado', validators=[DataRequired()])
pais = StringField('Pais', validators=[DataRequired()])
cep = StringField('CEP', validators=[DataRequired()])
submeter = SubmitField('Adicionar')
class AdicionarQuarto(FlaskForm):
hotel_id = SelectField('Hotel', validators=[DataRequired()])
name = StringField('Nome', validators=[DataRequired()])
short_description = StringField('Descrição', validators=[DataRequired()])
number = StringField('Número', validators=[DataRequired()])
kind = StringField('Tipo', validators=[DataRequired()])
phone_extension = StringField('Extensão telefone', validators=[DataRequired()])
price = StringField('Preço', validators=[DataRequired()])
guest_limit = StringField('Número de hóspedes', validators=[DataRequired()])
submeter = SubmitField('Submeter')
class AdicionarReserva(FlaskForm):
room_id = SelectField('Quarto', validators=[DataRequired()])
guest_id = SelectField('Hóspede', validators=[DataRequired()])
total_guests = IntegerField('Quantidade de hóspedes', validators=[DataRequired()])
check_in = DateField('Data Entrada', validators=[DataRequired()])
check_out = DateField('Data Saída', validators=[DataRequired()])
payment_type = SelectField('Tipo de pagamento', validators=[DataRequired()],
choices=[("credit_card", "Cartão de crédito"), ("pix", "Pix")])
# status = StringField('Status', validators=[DataRequired()])
submeter = SubmitField('Salvar')
class AdicionarHospede(FlaskForm):
hotel_id = SelectField('Hotel', validators=[DataRequired()])
name = StringField(u'Nome', validators=[InputRequired()])
email = StringField(u'E-mail', validators=[InputRequired()])
phone = StringField('Telefone', validators=[DataRequired()])
cpf = StringField('CPF', validators=[DataRequired()])
birthday = StringField('Data Nascimento', validators=[DataRequired()])
endereco = StringField('Endereço', validators=[DataRequired()])
numero = StringField('Número', validators=[DataRequired()])
complemento = StringField('Complemento')
bairro = StringField('Bairro', validators=[DataRequired()])
cidade = StringField('Cidade', validators=[DataRequired()])
estado = StringField('Estado', validators=[DataRequired()])
pais = StringField('Pais', validators=[DataRequired()])
cep = StringField('CEP', validators=[DataRequired()])
submeter = SubmitField('Salvar')
class VerificarDisponibilidade(FlaskForm):
total_guests = IntegerField('Quantidade de hóspedes', validators=[DataRequired()])
check_in = DateField('Data Entrada', validators=[DataRequired()])
check_out = DateField('Data Saída', validators=[DataRequired()])
submeter = SubmitField('Reservar')
class Contas(FlaskForm):
hotel_id = SelectField('Hotel', validators=[DataRequired()])
guest_id = SelectField('Nome', validators=[DataRequired()])
tipo = SelectField('Tipo', choices=['Contas a pagar', 'Contas a receber'], validators=[DataRequired()])
descricao = StringField('Descrição', validators=[DataRequired()])
valor = StringField('Valor', validators=[DataRequired()])
data_pagamento = DateField('Data pagamento')
submeter = SubmitField('Submeter')
class Estoque(FlaskForm):
hotel_id = SelectField('Hotel', validators=[DataRequired()])
categoria = StringField('Categoria', validators=[DataRequired()])
nome = StringField('Nome', validators=[DataRequired()])
detalhes = StringField('Detalhes', validators=[DataRequired()])
submeter = SubmitField('Submeter')
| 46.104 | 121 | 0.701544 | 501 | 5,763 | 8.023952 | 0.237525 | 0.279104 | 0.026866 | 0.034328 | 0.59403 | 0.515672 | 0.5 | 0.473134 | 0.442537 | 0.41194 | 0 | 0 | 0.145063 | 5,763 | 124 | 122 | 46.475806 | 0.815912 | 0.026896 | 0 | 0.549451 | 0 | 0 | 0.127409 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.054945 | 0.032967 | 0 | 0.945055 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 |
e360734a5e67b0f37d17c3a1c470e85a7cc61fac | 1,459 | py | Python | lambdata/test_helper_functions.py | RyanFikejs/lambdata-ryanfikejs | 649edc445b854902447fe67ebab44f936fcead29 | [
"MIT"
] | null | null | null | lambdata/test_helper_functions.py | RyanFikejs/lambdata-ryanfikejs | 649edc445b854902447fe67ebab44f936fcead29 | [
"MIT"
] | null | null | null | lambdata/test_helper_functions.py | RyanFikejs/lambdata-ryanfikejs | 649edc445b854902447fe67ebab44f936fcead29 | [
"MIT"
] | null | null | null | """Practice tests for helper functions"""
import pytest
import pandas as pd
from numpy import random
from lambdata.helper_functions import DataFrameHelper as dfh
from lambdata.helper_functions import SeriesHelper as sh
# Create several random dataframes for testing purposes
dfh_dict = {}
for n in range(1, 10):
df = pd.DataFrame(random.randint(0,100,size=(60,5)),
columns=list('ABCDE'))
#TODO insert random number of NaN values into each df
dfh_dict[f"dfh{n}"] = dfh(df)
### This first group of tests apply to the DataFrameHelper class
def test_null_count():
"""Testing the null count function"""
for i in dfh_dict:
total_nulls = 0
for col in dfh_dict[i].df.columns:
total_nulls += dfh_dict[i].df[col].isnull().sum()
assert dfh_dict[i].null_count() == total_nulls
assert dfh_dict[i].null_count().dtype == 'int64'
def test_train_test_split():
"""Testing the train/test set splitting function"""
pass
def test_randomize():
"""Testing the randomize function"""
pass
### This second group of tests apply to the SeriesHelper class
def test_addy_split():
"""Testing the address splitting function"""
pass
def test_abbr_2_st():
"""Testing the state abbreviation function"""
pass
def test_list_2_series():
"""Testing the 'list to series' function"""
pass
def test_split_dates():
"""Testing the date splitting function"""
pass | 25.155172 | 64 | 0.688828 | 210 | 1,459 | 4.642857 | 0.414286 | 0.050256 | 0.032821 | 0.077949 | 0.217436 | 0.092308 | 0 | 0 | 0 | 0 | 0 | 0.012942 | 0.20562 | 1,459 | 58 | 65 | 25.155172 | 0.8283 | 0.35915 | 0 | 0.206897 | 0 | 0 | 0.018018 | 0 | 0 | 0 | 0 | 0.017241 | 0.068966 | 1 | 0.241379 | false | 0.206897 | 0.172414 | 0 | 0.413793 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
e37c1a302d2144a699ccac608a6f5031c401df82 | 127 | py | Python | python/8Kyu/Enumerable Magic #25 - Take the First N Elements.py | athasv/Codewars-data | 5e106466e709fd776f23585ad9f652d0d65b48d3 | [
"MIT"
] | null | null | null | python/8Kyu/Enumerable Magic #25 - Take the First N Elements.py | athasv/Codewars-data | 5e106466e709fd776f23585ad9f652d0d65b48d3 | [
"MIT"
] | null | null | null | python/8Kyu/Enumerable Magic #25 - Take the First N Elements.py | athasv/Codewars-data | 5e106466e709fd776f23585ad9f652d0d65b48d3 | [
"MIT"
] | null | null | null | def take(arr,n):
if not arr: return []
if arr[0] is not None:
return [arr[i] for i in range(len(arr)) if i < n] | 31.75 | 57 | 0.559055 | 26 | 127 | 2.730769 | 0.576923 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011111 | 0.291339 | 127 | 4 | 57 | 31.75 | 0.777778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
e37e31270b69923b2f2dfd409737e2d3f1bcdf3a | 14,980 | py | Python | somm_airdrop/etherscan/get_somm_v2_mints_burns.py | VolumeFi/somm_airdrop | c744e3d25072a72d789619fe628d52dfe504c36a | [
"MIT"
] | null | null | null | somm_airdrop/etherscan/get_somm_v2_mints_burns.py | VolumeFi/somm_airdrop | c744e3d25072a72d789619fe628d52dfe504c36a | [
"MIT"
] | null | null | null | somm_airdrop/etherscan/get_somm_v2_mints_burns.py | VolumeFi/somm_airdrop | c744e3d25072a72d789619fe628d52dfe504c36a | [
"MIT"
] | 3 | 2022-01-27T13:40:40.000Z | 2022-02-12T13:10:32.000Z | import logging
from pprint import pprint
from web3 import Web3
from decoding_utils import decode_log
import json
import pandas as pd
from tqdm import tqdm
from somm_airdrop.etherscan.etherscan_connector import EtherscanConnector
import math
import datetime
api_rate_limit_message = "Max rate limit reached"
# Etherscan Logs:
# https://docs.etherscan.io/api-endpoints/logs
# ======================================================================================================================
SOMM_V2_CONTRACTS = [
{
"name": "Release1 Add",
"address": "0xFd8A61F94604aeD5977B31930b48f1a94ff3a195",
"abi": [{"name":"TestValue","inputs":[{"type":"uint256","name":"value","indexed":False},{"type":"string","name":"text","indexed":False}],"anonymous":False,"type":"event"},{"name":"TestAddress","inputs":[{"type":"address","name":"addr","indexed":False},{"type":"string","name":"text","indexed":False}],"anonymous":False,"type":"event"},{"name":"TestData","inputs":[{"type":"bytes32","name":"data","indexed":False},{"type":"string","name":"text","indexed":False}],"anonymous":False,"type":"event"},{"outputs":[],"inputs":[],"stateMutability":"nonpayable","type":"constructor"},{"name":"investTokenForEthPair","outputs":[{"type":"uint256","name":""}],"inputs":[{"type":"address","name":"token"},{"type":"address","name":"pair"},{"type":"uint256","name":"amount"},{"type":"uint256","name":"minPoolTokens"}],"stateMutability":"payable","type":"function"},{"name":"investTokenForEthPair","outputs":[{"type":"uint256","name":""}],"inputs":[{"type":"address","name":"token"},{"type":"address","name":"pair"},{"type":"uint256","name":"amount"},{"type":"uint256","name":"minPoolTokens"},{"type":"uint256","name":"deadline"}],"stateMutability":"payable","type":"function"},{"name":"pause","outputs":[],"inputs":[{"type":"bool","name":"_paused"}],"stateMutability":"nonpayable","type":"function","gas":36577},{"name":"newAdmin","outputs":[],"inputs":[{"type":"address","name":"_admin"}],"stateMutability":"nonpayable","type":"function","gas":36607},{"name":"newFeeAmount","outputs":[],"inputs":[{"type":"uint256","name":"_feeAmount"}],"stateMutability":"nonpayable","type":"function","gas":36537},{"name":"newFeeAddress","outputs":[],"inputs":[{"type":"address","name":"_feeAddress"}],"stateMutability":"nonpayable","type":"function","gas":36667},{"name":"seizeMany","outputs":[],"inputs":[{"type":"address[8]","name":"token"},{"type":"uint256[8]","name":"amount"},{"type":"address[8]","name":"to"}],"stateMutability":"nonpayable","type":"function","gas":282577},{"name":"seize","outputs":[],"inputs":[{"type":"address","name":"token"},{"type":"uint256","name":"amount"},{"type":"address","name":"to"}],"stateMutability":"nonpayable","type":"function","gas":36677},{"stateMutability":"payable","type":"fallback"},{"name":"paused","outputs":[{"type":"bool","name":""}],"inputs":[],"stateMutability":"view","type":"function","gas":1571},{"name":"admin","outputs":[{"type":"address","name":""}],"inputs":[],"stateMutability":"view","type":"function","gas":1601},{"name":"feeAmount","outputs":[{"type":"uint256","name":""}],"inputs":[],"stateMutability":"view","type":"function","gas":1631},{"name":"feeAddress","outputs":[{"type":"address","name":""}],"inputs":[],"stateMutability":"view","type":"function","gas":1661}],
"topic0": "0x4c209b5fc8ad50758f13e2e1088ba56a560dff690a1c6fef26394f4c03821c4f" # Mint
},
{
"name": "Release1 Remove",
"address": "0x418915329226AE7fCcB20A2354BbbF0F6c22Bd92",
"abi": [{"outputs":[],"inputs":[],"stateMutability":"nonpayable","type":"constructor"},{"name":"divestEthPairToToken","outputs":[{"type":"uint256","name":""}],"inputs":[{"type":"address","name":"pair"},{"type":"address","name":"token"},{"type":"uint256","name":"amount"}],"stateMutability":"payable","type":"function"},{"name":"divestEthPairToToken","outputs":[{"type":"uint256","name":""}],"inputs":[{"type":"address","name":"pair"},{"type":"address","name":"token"},{"type":"uint256","name":"amount"},{"type":"uint256","name":"deadline"}],"stateMutability":"payable","type":"function"},{"name":"pause","outputs":[],"inputs":[{"type":"bool","name":"_paused"}],"stateMutability":"nonpayable","type":"function","gas":36397},{"name":"newAdmin","outputs":[],"inputs":[{"type":"address","name":"_admin"}],"stateMutability":"nonpayable","type":"function","gas":36427},{"name":"newFeeAmount","outputs":[],"inputs":[{"type":"uint256","name":"_feeAmount"}],"stateMutability":"nonpayable","type":"function","gas":36357},{"name":"newFeeAddress","outputs":[],"inputs":[{"type":"address","name":"_feeAddress"}],"stateMutability":"nonpayable","type":"function","gas":36487},{"stateMutability":"payable","type":"fallback"},{"name":"paused","outputs":[{"type":"bool","name":""}],"inputs":[],"stateMutability":"view","type":"function","gas":1331},{"name":"admin","outputs":[{"type":"address","name":""}],"inputs":[],"stateMutability":"view","type":"function","gas":1361},{"name":"feeAmount","outputs":[{"type":"uint256","name":""}],"inputs":[],"stateMutability":"view","type":"function","gas":1391},{"name":"feeAddress","outputs":[{"type":"address","name":""}],"inputs":[],"stateMutability":"view","type":"function","gas":1421}],
"topic0": "0xdccd412f0b1252819cb1fd330b93224ca42612892bb3f4f789976e6d81936496" # Burn
},
{
"name": "Release2 Add",
"address": "0xA522AA47C40F2BAC847cbe4D37455c521E69DEa7",
"abi": [{"name":"LPTokenMint","inputs":[{"type":"address","name":"msg_sender","indexed":False},{"type":"uint256","name":"liquidity","indexed":False}],"anonymous":False,"type":"event"},{"outputs":[],"inputs":[],"stateMutability":"nonpayable","type":"constructor"},{"name":"investTokenForUniPair","outputs":[{"type":"uint256","name":""}],"inputs":[{"type":"address","name":"token"},{"type":"address","name":"pair"},{"type":"uint256","name":"amount"},{"type":"uint256","name":"minPoolTokens"}],"stateMutability":"payable","type":"function"},{"name":"investTokenForUniPair","outputs":[{"type":"uint256","name":""}],"inputs":[{"type":"address","name":"token"},{"type":"address","name":"pair"},{"type":"uint256","name":"amount"},{"type":"uint256","name":"minPoolTokens"},{"type":"uint256","name":"deadline"}],"stateMutability":"payable","type":"function"},{"name":"addLiquidity","outputs":[{"type":"uint256","name":""},{"type":"uint256","name":""},{"type":"uint256","name":""}],"inputs":[{"type":"address","name":"tokenA"},{"type":"address","name":"tokenB"},{"type":"uint256","name":"amountADesired"},{"type":"uint256","name":"amountBDesired"},{"type":"uint256","name":"amountAMin"},{"type":"uint256","name":"amountBMin"},{"type":"address","name":"to"}],"stateMutability":"nonpayable","type":"function"},{"name":"addLiquidity","outputs":[{"type":"uint256","name":""},{"type":"uint256","name":""},{"type":"uint256","name":""}],"inputs":[{"type":"address","name":"tokenA"},{"type":"address","name":"tokenB"},{"type":"uint256","name":"amountADesired"},{"type":"uint256","name":"amountBDesired"},{"type":"uint256","name":"amountAMin"},{"type":"uint256","name":"amountBMin"},{"type":"address","name":"to"},{"type":"uint256","name":"deadline"}],"stateMutability":"nonpayable","type":"function"},{"name":"addLiquidityETH","outputs":[{"type":"uint256","name":""},{"type":"uint256","name":""},{"type":"uint256","name":""}],"inputs":[{"type":"address","name":"token"},{"type":"uint256","name":"amountTokenDesired"},{"type":"uint256","name":"amountTokenMin"},{"type":"uint256","name":"amountETHMin"},{"type":"address","name":"to"}],"stateMutability":"payable","type":"function"},{"name":"addLiquidityETH","outputs":[{"type":"uint256","name":""},{"type":"uint256","name":""},{"type":"uint256","name":""}],"inputs":[{"type":"address","name":"token"},{"type":"uint256","name":"amountTokenDesired"},{"type":"uint256","name":"amountTokenMin"},{"type":"uint256","name":"amountETHMin"},{"type":"address","name":"to"},{"type":"uint256","name":"deadline"}],"stateMutability":"payable","type":"function"},{"name":"pause","outputs":[],"inputs":[{"type":"bool","name":"_paused"}],"stateMutability":"nonpayable","type":"function","gas":36727},{"name":"newAdmin","outputs":[],"inputs":[{"type":"address","name":"_admin"}],"stateMutability":"nonpayable","type":"function","gas":36757},{"name":"newFeeAmount","outputs":[],"inputs":[{"type":"uint256","name":"_feeAmount"}],"stateMutability":"nonpayable","type":"function","gas":36687},{"name":"newFeeAddress","outputs":[],"inputs":[{"type":"address","name":"_feeAddress"}],"stateMutability":"nonpayable","type":"function","gas":36817},{"stateMutability":"payable","type":"fallback"},{"name":"paused","outputs":[{"type":"bool","name":""}],"inputs":[],"stateMutability":"view","type":"function","gas":1661},{"name":"admin","outputs":[{"type":"address","name":""}],"inputs":[],"stateMutability":"view","type":"function","gas":1691},{"name":"feeAmount","outputs":[{"type":"uint256","name":""}],"inputs":[],"stateMutability":"view","type":"function","gas":1721},{"name":"feeAddress","outputs":[{"type":"address","name":""}],"inputs":[],"stateMutability":"view","type":"function","gas":1751}],
"topic0": "0x4c209b5fc8ad50758f13e2e1088ba56a560dff690a1c6fef26394f4c03821c4f" # Mint
},
{
"name": "Release2 Remove",
"address": "0x430f33353490b256D2fD7bBD9DaDF3BB7f905E78",
"abi": [{"stateMutability":"nonpayable","type":"constructor","inputs":[],"outputs":[]},{"stateMutability":"payable","type":"function","name":"divestUniPairToToken","inputs":[{"name":"pair","type":"address"},{"name":"token","type":"address"},{"name":"amount","type":"uint256"},{"name":"minTokenAmount","type":"uint256"}],"outputs":[{"name":"","type":"uint256"}]},{"stateMutability":"payable","type":"function","name":"divestUniPairToToken","inputs":[{"name":"pair","type":"address"},{"name":"token","type":"address"},{"name":"amount","type":"uint256"},{"name":"minTokenAmount","type":"uint256"},{"name":"deadline","type":"uint256"}],"outputs":[{"name":"","type":"uint256"}]},{"stateMutability":"nonpayable","type":"function","name":"removeLiquidity","inputs":[{"name":"tokenA","type":"address"},{"name":"tokenB","type":"address"},{"name":"liquidity","type":"uint256"},{"name":"amountAMin","type":"uint256"},{"name":"amountBMin","type":"uint256"},{"name":"to","type":"address"}],"outputs":[{"name":"","type":"uint256"},{"name":"","type":"uint256"}]},{"stateMutability":"nonpayable","type":"function","name":"removeLiquidity","inputs":[{"name":"tokenA","type":"address"},{"name":"tokenB","type":"address"},{"name":"liquidity","type":"uint256"},{"name":"amountAMin","type":"uint256"},{"name":"amountBMin","type":"uint256"},{"name":"to","type":"address"},{"name":"deadline","type":"uint256"}],"outputs":[{"name":"","type":"uint256"},{"name":"","type":"uint256"}]},{"stateMutability":"nonpayable","type":"function","name":"removeLiquidityETH","inputs":[{"name":"token","type":"address"},{"name":"liquidity","type":"uint256"},{"name":"amountTokenMin","type":"uint256"},{"name":"amountETHMin","type":"uint256"},{"name":"to","type":"address"}],"outputs":[{"name":"","type":"uint256"},{"name":"","type":"uint256"}]},{"stateMutability":"nonpayable","type":"function","name":"removeLiquidityETH","inputs":[{"name":"token","type":"address"},{"name":"liquidity","type":"uint256"},{"name":"amountTokenMin","type":"uint256"},{"name":"amountETHMin","type":"uint256"},{"name":"to","type":"address"},{"name":"deadline","type":"uint256"}],"outputs":[{"name":"","type":"uint256"},{"name":"","type":"uint256"}]},{"stateMutability":"nonpayable","type":"function","name":"pause","inputs":[{"name":"_paused","type":"bool"}],"outputs":[],"gas":36454},{"stateMutability":"nonpayable","type":"function","name":"newAdmin","inputs":[{"name":"_admin","type":"address"}],"outputs":[],"gas":36484},{"stateMutability":"nonpayable","type":"function","name":"newFeeAmount","inputs":[{"name":"_feeAmount","type":"uint256"}],"outputs":[],"gas":36414},{"stateMutability":"nonpayable","type":"function","name":"newFeeAddress","inputs":[{"name":"_feeAddress","type":"address"}],"outputs":[],"gas":36544},{"stateMutability":"payable","type":"fallback"},{"stateMutability":"view","type":"function","name":"paused","inputs":[],"outputs":[{"name":"","type":"bool"}],"gas":1388},{"stateMutability":"view","type":"function","name":"admin","inputs":[],"outputs":[{"name":"","type":"address"}],"gas":1418},{"stateMutability":"view","type":"function","name":"feeAmount","inputs":[],"outputs":[{"name":"","type":"uint256"}],"gas":1448},{"stateMutability":"view","type":"function","name":"feeAddress","inputs":[],"outputs":[{"name":"","type":"address"}],"gas":1478}],
"topic0": "0xdccd412f0b1252819cb1fd330b93224ca42612892bb3f4f789976e6d81936496" # Burn
}
]
if __name__ == "__main__":
etherscan_conn = EtherscanConnector()
mints_burns_dict = []
# Get latest block number before October 31, 2021
timestamp = int(datetime.datetime.strptime('10/31/2021', '%m/%d/%Y').strftime("%s"))
maximum_block_number = int(etherscan_conn.get_block_number_before_timestamp(timestamp=timestamp))
for somm_contract_dict in SOMM_V2_CONTRACTS:
normal_txs = etherscan_conn.get_normal_transactions(somm_contract_dict["address"])
for tx_dict in tqdm(normal_txs):
tx_hash = tx_dict['hash']
tx_receipt = etherscan_conn.get_tx_receipt(tx_hash=tx_hash)
all_tx_logs = tx_receipt['logs']
if len(all_tx_logs) > 0:
# Select log with topic0
for tx_log in all_tx_logs:
if tx_log["topics"][0] == somm_contract_dict['topic0']:
decoded_event = decode_log(data=tx_log['data'], topics=tx_log['topics'], abi=etherscan_conn.get_contract_abi(address=tx_log['address']))
decoded_event_dict = json.loads(decoded_event[1])
event_dict = {}
# event_dict keys: [pool, liquidity, somm_user_address]
event_dict['liquidity'] = int(math.sqrt(decoded_event_dict['amount0'] * decoded_event_dict['amount1']))
if decoded_event[0] == "Burn":
event_dict['liquidity'] *= -1
event_dict['somm_user_address'] = tx_receipt['from']
event_dict["pool"] = tx_log["address"]
# Only count transactions with block number < maximum block number
if int(tx_receipt['blockNumber'], 16) < maximum_block_number:
mints_burns_dict.append(event_dict)
mints_burns_df = pd.DataFrame(mints_burns_dict)
unique_somm_users = mints_burns_df['somm_user_address'].unique().tolist()
mints_burns_df.to_csv("somm_v2_mints_burns.csv")
pd.Series(mints_burns_df['somm_user_address'].unique()).to_csv("somm_v2_user_addresses.csv")
breakpoint() | 161.075269 | 3,711 | 0.632109 | 1,502 | 14,980 | 6.215712 | 0.139814 | 0.103685 | 0.120501 | 0.095116 | 0.69473 | 0.65874 | 0.652099 | 0.631748 | 0.619002 | 0.610111 | 0 | 0.052352 | 0.057677 | 14,980 | 93 | 3,712 | 161.075269 | 0.609025 | 0.025968 | 0 | 0.060606 | 0 | 0 | 0.537792 | 0.038752 | 0 | 0 | 0.02963 | 0 | 0 | 1 | 0 | false | 0 | 0.151515 | 0 | 0.151515 | 0.015152 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
8b5857f67885458d6af5edbcd3f8fbe7370c8830 | 79 | py | Python | waterbutler/__init__.py | birdbrained/waterbutler | 60a6eb7f2dfce88b7a00457034c01b20da0aef23 | [
"Apache-2.0"
] | null | null | null | waterbutler/__init__.py | birdbrained/waterbutler | 60a6eb7f2dfce88b7a00457034c01b20da0aef23 | [
"Apache-2.0"
] | null | null | null | waterbutler/__init__.py | birdbrained/waterbutler | 60a6eb7f2dfce88b7a00457034c01b20da0aef23 | [
"Apache-2.0"
] | null | null | null | __version__ = '0.20.0'
__import__('pkg_resources').declare_namespace(__name__)
| 26.333333 | 55 | 0.797468 | 10 | 79 | 4.9 | 0.9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.053333 | 0.050633 | 79 | 2 | 56 | 39.5 | 0.6 | 0 | 0 | 0 | 0 | 0 | 0.240506 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
8b5e29bfaca5c04160993fb7fd3b983943c933f7 | 381 | py | Python | pytype/tools/xref/testdata/class_def.py | adamcataldo/pytype | 7163e85880b52d53d58044e53157e2a21988308e | [
"Apache-2.0"
] | 2 | 2019-07-25T12:53:02.000Z | 2019-08-18T16:26:16.000Z | pytype/tools/xref/testdata/class_def.py | adamcataldo/pytype | 7163e85880b52d53d58044e53157e2a21988308e | [
"Apache-2.0"
] | null | null | null | pytype/tools/xref/testdata/class_def.py | adamcataldo/pytype | 7163e85880b52d53d58044e53157e2a21988308e | [
"Apache-2.0"
] | null | null | null | # pylint: skip-file
#- @A defines/binding ClassA
#- @object ref vname("module.object", _, _, "pytd:__builtin__", _)
#- ClassA.node/kind class
class A(object):
pass
#- @B defines/binding ClassB
#- @A ref ClassA
#- ClassB.node/kind class
class B(A):
pass
#- @Foo defines/binding ClassFoo
#- @A ref ClassA
#- @B ref ClassB
#- ClassFoo.node/kind class
class Foo(A, B):
pass
| 16.565217 | 66 | 0.669291 | 56 | 381 | 4.428571 | 0.375 | 0.169355 | 0.157258 | 0.217742 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.170604 | 381 | 22 | 67 | 17.318182 | 0.78481 | 0.750656 | 0 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.5 | 0 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
8b6a0a20dfa310edc63ec4965c690a31a64622c9 | 181 | py | Python | HelmholtzAI/benchmarks/implementations/src/deepCam/data/tar-untar.py | mlcommons/hpc_results_v1.0 | a3f7469937aa44a48e186160a2e97464970cf72f | [
"Apache-2.0"
] | 3 | 2021-11-18T20:01:35.000Z | 2021-12-17T17:47:23.000Z | HelmholtzAI/benchmarks/implementations/src/deepCam/data/tar-untar.py | mlcommons/hpc_results_v1.0 | a3f7469937aa44a48e186160a2e97464970cf72f | [
"Apache-2.0"
] | 1 | 2022-03-16T07:29:30.000Z | 2022-03-31T10:19:07.000Z | HelmholtzAI/benchmarks/implementations/src/deepCam/data/tar-untar.py | mlcommons/hpc_results_v1.0 | a3f7469937aa44a48e186160a2e97464970cf72f | [
"Apache-2.0"
] | 1 | 2021-11-18T01:53:25.000Z | 2021-11-18T01:53:25.000Z | import os
import tarfile
import glob
from mpi4py import MPI
def tarball_files_by_year(dir):
# create a tarball of the files in each year
files = os.listdir(dir)
pass
| 15.083333 | 48 | 0.729282 | 30 | 181 | 4.3 | 0.7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007143 | 0.226519 | 181 | 11 | 49 | 16.454545 | 0.914286 | 0.232044 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0.142857 | 0.571429 | 0 | 0.714286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 3 |
8b7d2cc9f0a7a70928f666f751d2d61a5ce7a56f | 838 | py | Python | main/forms.py | JYOOrepository/django-tickets-1 | 2656457378f7d982680e26265a50f2f00bc64369 | [
"MIT"
] | 10 | 2015-09-15T22:01:21.000Z | 2022-03-10T16:30:30.000Z | main/forms.py | JYOOrepository/django-tickets-1 | 2656457378f7d982680e26265a50f2f00bc64369 | [
"MIT"
] | 1 | 2021-02-28T11:39:42.000Z | 2021-02-28T11:39:42.000Z | main/forms.py | JYOOrepository/django-tickets-1 | 2656457378f7d982680e26265a50f2f00bc64369 | [
"MIT"
] | 6 | 2017-01-20T18:49:58.000Z | 2022-02-15T20:57:17.000Z | # -*- coding: utf-8 -*-
from django import forms
from django.contrib.auth.models import User
from .models import Ticket, FollowUp, Attachment
class UserSettingsForm(forms.ModelForm):
class Meta:
model = User
fields = ('first_name', 'last_name', 'email',)
class TicketCreateForm(forms.ModelForm):
class Meta:
model = Ticket
fields = ('title', 'description')
class TicketEditForm(forms.ModelForm):
class Meta:
model = Ticket
fields = ('title', 'owner', 'description',
'status', 'waiting_for', 'assigned_to')
class FollowupForm(forms.ModelForm):
class Meta:
model = FollowUp
fields = ('ticket', 'title', 'text', 'user')
class AttachmentForm(forms.ModelForm):
class Meta:
model = Attachment
fields = ('file',)
| 20.95 | 57 | 0.621718 | 85 | 838 | 6.082353 | 0.447059 | 0.135397 | 0.183752 | 0.222437 | 0.336557 | 0.174081 | 0.174081 | 0.174081 | 0 | 0 | 0 | 0.001597 | 0.252983 | 838 | 39 | 58 | 21.487179 | 0.824281 | 0.02506 | 0 | 0.291667 | 0 | 0 | 0.137423 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.541667 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
8b944392234fa899448b814979ee4f641bf278e8 | 721 | py | Python | data/train/python/8b944392234fa899448b814979ee4f641bf278e8blueprints.py | harshp8l/deep-learning-lang-detection | 2a54293181c1c2b1a2b840ddee4d4d80177efb33 | [
"MIT"
] | 84 | 2017-10-25T15:49:21.000Z | 2021-11-28T21:25:54.000Z | data/train/python/8b944392234fa899448b814979ee4f641bf278e8blueprints.py | vassalos/deep-learning-lang-detection | cbb00b3e81bed3a64553f9c6aa6138b2511e544e | [
"MIT"
] | 5 | 2018-03-29T11:50:46.000Z | 2021-04-26T13:33:18.000Z | data/train/python/8b944392234fa899448b814979ee4f641bf278e8blueprints.py | vassalos/deep-learning-lang-detection | cbb00b3e81bed3a64553f9c6aa6138b2511e544e | [
"MIT"
] | 24 | 2017-11-22T08:31:00.000Z | 2022-03-27T01:22:31.000Z | from flask import Blueprint
from ctflorals.controllers import HomeController
from ctflorals.controllers import AboutController
from ctflorals.controllers import GalleryController
from ctflorals.controllers import TestimonialsController
ctflorals = Blueprint('ctflorals', __name__,
template_folder='views',
static_folder='../resources')
@ctflorals.route("/")
def home():
return HomeController().index()
@ctflorals.route("/about/")
def about():
return AboutController().index()
@ctflorals.route("/gallery/")
def gallery():
return GalleryController().index()
@ctflorals.route("/testimonials/")
def testimonials():
return TestimonialsController().index()
| 23.258065 | 56 | 0.722607 | 65 | 721 | 7.923077 | 0.369231 | 0.100971 | 0.186408 | 0.23301 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.160888 | 721 | 30 | 57 | 24.033333 | 0.85124 | 0 | 0 | 0 | 0 | 0 | 0.079057 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.25 | 0.2 | 0.65 | 0.1 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 |
8ba9adb8f979166d7cd39195cd716de47bb64c3c | 114 | py | Python | timedelta.py | MatheusSouza70/Exerc-cios-Python | f8878a0c9d62e49db61dcbce0ee10a161e12a894 | [
"MIT"
] | 1 | 2022-03-14T01:35:09.000Z | 2022-03-14T01:35:09.000Z | timedelta.py | MatheusSouza70/Exerc-cios-Python | f8878a0c9d62e49db61dcbce0ee10a161e12a894 | [
"MIT"
] | null | null | null | timedelta.py | MatheusSouza70/Exerc-cios-Python | f8878a0c9d62e49db61dcbce0ee10a161e12a894 | [
"MIT"
] | null | null | null | import datetime
entrada = input("Informe a data: ")
datainicial = datetime.datetime.strptime(entrada,"dd/mm/aa") | 38 | 60 | 0.754386 | 15 | 114 | 5.733333 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.105263 | 114 | 3 | 60 | 38 | 0.843137 | 0 | 0 | 0 | 0 | 0 | 0.212389 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
8bb84a4d1d6bf8bc62227551233fff530d7a0b80 | 1,041 | py | Python | tests/test_convert.py | gastoneb/PyETo | 8bb427654b144141442a3b88754ba637644e47e9 | [
"BSD-3-Clause"
] | 100 | 2015-05-12T13:48:48.000Z | 2022-03-30T08:16:30.000Z | tests/test_convert.py | tigerforeveryoung/PyETo | 0b7ac9f149f4c89c5b5759a875010c521aa07f0f | [
"BSD-3-Clause"
] | 11 | 2015-09-11T10:01:46.000Z | 2021-12-09T15:25:47.000Z | tests/test_convert.py | tigerforeveryoung/PyETo | 0b7ac9f149f4c89c5b5759a875010c521aa07f0f | [
"BSD-3-Clause"
] | 74 | 2015-08-23T20:05:10.000Z | 2022-02-25T12:55:29.000Z | """
Unit test script for convert.py
"""
import unittest
import pyeto
class TestConvert(unittest.TestCase):
def test_celsius2kelvin(self):
self.assertEqual(pyeto.celsius2kelvin(0), 273.15)
def test_kelvin2celsius(self):
self.assertEqual(pyeto.kelvin2celsius(273.15), 0.0)
def test_deg2rad(self):
self.assertEqual(pyeto.deg2rad(0), 0.0)
# Test values obtained form online conversion calculator
self.assertAlmostEqual(pyeto.deg2rad(-90), -1.5707963268, 10)
self.assertAlmostEqual(pyeto.deg2rad(90), 1.5707963268, 10)
self.assertAlmostEqual(pyeto.deg2rad(360), 6.2831853072, 10)
def test_rad2deg(self):
self.assertEqual(pyeto.rad2deg(0), 0.0)
# Test values obtained form online conversion calculator
self.assertAlmostEqual(pyeto.rad2deg(-1.5707963268), -90.0)
self.assertAlmostEqual(pyeto.rad2deg(1.5707963268), 90.0)
self.assertAlmostEqual(pyeto.rad2deg(6.2831853072), 360.0)
if __name__ == '__main__':
unittest.main() | 30.617647 | 69 | 0.698367 | 126 | 1,041 | 5.674603 | 0.309524 | 0.176224 | 0.218182 | 0.134266 | 0.500699 | 0.500699 | 0.500699 | 0.500699 | 0.500699 | 0.500699 | 0 | 0.143361 | 0.182517 | 1,041 | 34 | 70 | 30.617647 | 0.696827 | 0.136407 | 0 | 0 | 0 | 0 | 0.008979 | 0 | 0 | 0 | 0 | 0 | 0.526316 | 1 | 0.210526 | false | 0 | 0.105263 | 0 | 0.368421 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
8bca5c2f3ad49fe0250d6b506fe41e658af1bd61 | 182 | py | Python | departure/provider/tfl_tube/commons.py | Woll78/departure-python | 86eccd40291ad560d5859a120dd6c99aa5c4bd12 | [
"MIT"
] | 4 | 2020-10-18T18:12:04.000Z | 2022-03-31T19:13:08.000Z | departure/provider/tfl_tube/commons.py | Woll78/departure-python | 86eccd40291ad560d5859a120dd6c99aa5c4bd12 | [
"MIT"
] | null | null | null | departure/provider/tfl_tube/commons.py | Woll78/departure-python | 86eccd40291ad560d5859a120dd6c99aa5c4bd12 | [
"MIT"
] | 1 | 2021-11-19T10:37:26.000Z | 2021-11-19T10:37:26.000Z | import os
class TflTubeException(Exception):
pass
def check_env_vars():
if "TFL_APP_KEY" not in os.environ:
raise TflTubeException("missing env var TFL_APP_KEY")
| 16.545455 | 61 | 0.71978 | 26 | 182 | 4.807692 | 0.769231 | 0.096 | 0.144 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.203297 | 182 | 10 | 62 | 18.2 | 0.862069 | 0 | 0 | 0 | 0 | 0 | 0.208791 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | true | 0.166667 | 0.166667 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
8bcec95c28817792e2950c069f8bce95a2fbc265 | 3,023 | py | Python | src/base/migrations/0004_auto_20180223_0823.py | jhernandez18p/mobyapp | 4add7bd3b3f1e933bbb6941674bf84f4c4462685 | [
"MIT"
] | null | null | null | src/base/migrations/0004_auto_20180223_0823.py | jhernandez18p/mobyapp | 4add7bd3b3f1e933bbb6941674bf84f4c4462685 | [
"MIT"
] | 7 | 2020-06-05T17:31:06.000Z | 2022-03-11T23:16:34.000Z | src/base/migrations/0004_auto_20180223_0823.py | jhernandez18p/mobyapp | 4add7bd3b3f1e933bbb6941674bf84f4c4462685 | [
"MIT"
] | null | null | null | # Generated by Django 2.0 on 2018-02-23 13:23
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('base', '0003_auto_20180223_0814'),
]
operations = [
migrations.AlterField(
model_name='socialmedia',
name='icon',
field=models.CharField(blank=True, choices=[('fa-500px', '500px'), ('fa-amazon', 'Amazon'), ('fa-cc-amex', 'Amex'), ('fa-angellist', 'Angellist'), ('fa-behance', 'Behanse'), ('fa-behance', 'Behanse'), ('fa-behance-square', 'Behanse1'), ('fa-bitbucket', 'Bitbucket'), ('fa-bitbucket-square', 'Bitbucket1'), ('fa-btc', 'BitCoin'), ('fa-buysellads', 'Buysellads'), ('fa-codepen ', 'Codepen'), ('fa-digg', 'Digg'), ('fa-cc-diners-club', 'Dinners Clud'), ('fa-cc-discover', 'Discover'), ('fa-dribbble', 'Dribble'), ('fa-dropbox', 'Dropbox'), ('fa-facebook', 'Facebook'), ('fa-facebook', 'Facebook'), ('fa-facebook-square', 'Facebook1'), ('fa-facebook-official', 'Facebook2'), ('fa-github', 'GitHub'), ('fa-github-alt ', 'GitHub1'), ('fa-github-square', 'GitHub2'), ('fa-gitlab', 'GitLab'), ('fa-google-wallet ', 'Google Wallet'), ('fa-google', 'Google'), ('fa-google-plus', 'Google+'), ('fa-google-plus-square', 'Google+1'), ('fa-google-plus-official', 'Google+2'), ('fa-hacker-news', 'Hacker News'), ('fa-instagram', 'Instagram'), ('fa-cc-jcb', 'JCB'), ('fa-jsfiddle', 'JsFiddle'), ('fa-linkedin', 'LinkedIn'), ('fa-linkedin-square', 'LinkedIn1'), ('fa-cc-mastercard ', 'MasterCard'), ('fa-medium', 'Medium'), ('fa-meetup', 'Meetup'), ('fa-opencart', 'Opencart'), ('fa-cc-paypal', 'Paypal'), ('fa-paypal', 'Paypal'), ('fa-pinterest', 'Printerest'), ('fa-pinterest-square', 'Printerest1'), ('fa-pinterest-p', 'Printerest2'), ('fa-quora', 'Quora'), ('fa-reddit', 'Reddit'), ('fa-reddit-square', 'Reddit1'), ('fa-reddit-alien', 'Reddit2'), ('fa-skype', 'Skype'), ('fa-slack', 'Slack'), ('fa-slideshare', 'Slideshare'), ('fa-snapchat', 'Snapchat'), ('fa-snapchat-square', 'Snapchat1'), ('fa-snapchat-ghost', 'Snapchat2'), ('fa-soundcloud', 'Soundcloud'), ('fa-spotify', 'Spotify'), ('fa-stack-overflow ', 'Stack Overflow'), ('fa-cc-stripe', 'Stripe'), ('fa-telegram', 'Telegram'), ('fa-trello', 'Trello'), ('fa-tripadvisor', 'Tripadvisor'), ('fa-tumblr', 'Tumblr'), ('fa-tumblr-square', 'Tumblr1'), ('fa-twitch', 'Twitch'), ('fa-twitter', 'Twitter'), ('fa-twitter-square', 'Twitter1'), ('fa-usb', 'USB'), ('fa-viacoin', 'Viacoin'), ('fa-vimeo-square', 'Vimeo'), ('fa-vine', 'Vine'), ('fa-cc-visa', 'Visa'), ('fa-weixin', 'Weixin'), ('fa-whatsapp', 'Whatsapp'), ('fa-wikipedia-w', 'Wikipedia'), ('fa-windows', 'Windows'), ('fa-wordpress', 'Wordpress'), ('fa-wpbeginner', 'WPBeguinner'), ('fa-wpforms', 'WpForms'), ('fa-xing-square', 'Xing Square'), ('fa-xing', 'Xing'), ('fa-y-combinator', 'Y Combinator'), ('fa-yahoo', 'Yahoo'), ('fa-yelp', 'Yelp'), ('fa-youtube', 'YouTube'), ('fa-youtube-square', 'YouTube1'), ('fa-youtube-play', 'YouTube2')], max_length=1444, verbose_name='Icono'),
),
]
| 159.105263 | 2,689 | 0.611644 | 354 | 3,023 | 5.206215 | 0.40113 | 0.017363 | 0.019533 | 0.019533 | 0.047206 | 0 | 0 | 0 | 0 | 0 | 0 | 0.021651 | 0.098578 | 3,023 | 18 | 2,690 | 167.944444 | 0.654679 | 0.014224 | 0 | 0 | 1 | 0 | 0.594359 | 0.022498 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.083333 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
8bd4946d3c51c5194a7421330708fb8bf444497b | 60 | py | Python | backend/config/settings/components/env.py | offurface/logistic-company | 1e98b1191fd9ee63fbd9d6c2eef1354822e53d14 | [
"MIT"
] | null | null | null | backend/config/settings/components/env.py | offurface/logistic-company | 1e98b1191fd9ee63fbd9d6c2eef1354822e53d14 | [
"MIT"
] | null | null | null | backend/config/settings/components/env.py | offurface/logistic-company | 1e98b1191fd9ee63fbd9d6c2eef1354822e53d14 | [
"MIT"
] | null | null | null | import environ
env = environ.Env(
DEBUG=(bool, True)
)
| 10 | 22 | 0.65 | 8 | 60 | 4.875 | 0.75 | 0.512821 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.216667 | 60 | 5 | 23 | 12 | 0.829787 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
8bd6779520a832c43c96b5cbdbbd7ebc79d627d3 | 708 | py | Python | elasticmagic/ext/queryfilter/__init__.py | kvasnevskyi/elasticmagic | 55e790ca3453fb331167ed7841e5a69edec5ccfb | [
"Apache-2.0"
] | 25 | 2015-04-27T12:43:12.000Z | 2021-04-06T07:11:48.000Z | elasticmagic/ext/queryfilter/__init__.py | kvasnevskyi/elasticmagic | 55e790ca3453fb331167ed7841e5a69edec5ccfb | [
"Apache-2.0"
] | 41 | 2015-09-28T10:51:59.000Z | 2021-07-23T16:09:19.000Z | elasticmagic/ext/queryfilter/__init__.py | kvasnevskyi/elasticmagic | 55e790ca3453fb331167ed7841e5a69edec5ccfb | [
"Apache-2.0"
] | 12 | 2015-08-28T17:30:02.000Z | 2021-12-01T15:36:23.000Z | from .queryfilter import QueryFilter, FacetFilter, RangeFilter
from .queryfilter import FacetQueryFilter, FacetQueryValue
from .queryfilter import SimpleFilter, SimpleQueryFilter, SimpleQueryValue
from .queryfilter import OrderingFilter, OrderingValue
from .queryfilter import PageFilter
from .queryfilter import NestedFacetFilter, NestedRangeFilter
from .queryfilter import BinaryFilter
__all__ = [
'BinaryFilter',
'FacetFilter',
'FacetQueryFilter',
'FacetQueryValue',
'NestedFacetFilter',
'NestedRangeFilter',
'OrderingFilter',
'OrderingValue',
'PageFilter',
'QueryFilter',
'RangeFilter',
'SimpleFilter',
'SimpleQueryFilter',
'SimpleQueryValue',
]
| 27.230769 | 74 | 0.759887 | 50 | 708 | 10.68 | 0.34 | 0.196629 | 0.275281 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.15678 | 708 | 25 | 75 | 28.32 | 0.894472 | 0 | 0 | 0 | 0 | 0 | 0.271186 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.304348 | 0 | 0.304348 | 0 | 0 | 0 | 1 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
8bec46d3d255d3383f11fd8aa008732be96df2eb | 120 | py | Python | inlineedit/apps.py | VolkerGoeschl/django-inlineedit | c1656e8c647c02a87c077001775bd8e98d564647 | [
"MIT"
] | null | null | null | inlineedit/apps.py | VolkerGoeschl/django-inlineedit | c1656e8c647c02a87c077001775bd8e98d564647 | [
"MIT"
] | null | null | null | inlineedit/apps.py | VolkerGoeschl/django-inlineedit | c1656e8c647c02a87c077001775bd8e98d564647 | [
"MIT"
] | null | null | null | from django.apps import AppConfig
class InlineeditConfig(AppConfig):
label = "inlineedit"
name = 'inlineedit'
| 17.142857 | 34 | 0.733333 | 12 | 120 | 7.333333 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.183333 | 120 | 6 | 35 | 20 | 0.897959 | 0 | 0 | 0 | 0 | 0 | 0.166667 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
4735e07882d8148525e6d459f69418dd4f1044f8 | 779 | py | Python | controller/login/register.py | johndao1005/SDV602-Milestone2-QuangThanhDao | 5818f11db599042ab0ba7379fb08cb27932f7cc1 | [
"MIT"
] | 1 | 2021-09-30T01:25:23.000Z | 2021-09-30T01:25:23.000Z | controller/login/register.py | johndao1005/SDV602-Milestone2-QuangThanhDao | 5818f11db599042ab0ba7379fb08cb27932f7cc1 | [
"MIT"
] | 3 | 2021-08-31T09:36:06.000Z | 2021-09-03T08:22:36.000Z | controller/login/register.py | johndao1005/SDV602-Milestone2-QuangThanhDao | 5818f11db599042ab0ba7379fb08cb27932f7cc1 | [
"MIT"
] | null | null | null | """
Creating new user after checking all the input. the user will be added into the remote data source and input the login details into the login window
"""
def makeUser(self,name,pw,pw2,email):
"""Checking input is valid and not already exist in the current database before creating new user instance
Args:
name (string): username taken from user input, need to be more than 2 characters and less than 20 characters
pw (string): password taken from user input, need to be more than 8 character and less than 20 characters
pw2 (string): confirm password, need to be identical with password input
email (string): email from user, need to have @ and valid email name
"""
self.destroy()
pass | 51.933333 | 148 | 0.685494 | 116 | 779 | 4.603448 | 0.5 | 0.044944 | 0.044944 | 0.067416 | 0.213483 | 0.127341 | 0.127341 | 0.127341 | 0.127341 | 0 | 0 | 0.013913 | 0.261874 | 779 | 15 | 149 | 51.933333 | 0.914783 | 0.81258 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0.333333 | 0 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
473ef4d9c29fe6705dd613791294f05d95e3ea33 | 363 | py | Python | Alvin1.py | allenalvin333/12 | 7b0e3fc4c3887dd872fd8faed3b39eada57d4c7e | [
"MIT"
] | null | null | null | Alvin1.py | allenalvin333/12 | 7b0e3fc4c3887dd872fd8faed3b39eada57d4c7e | [
"MIT"
] | null | null | null | Alvin1.py | allenalvin333/12 | 7b0e3fc4c3887dd872fd8faed3b39eada57d4c7e | [
"MIT"
] | null | null | null | al = raw_input("Enter the String: ")
a = al.lower()
b = len(a)
s = ""
for i in range(0,b):
if a[i] == 'a':
s = s+'1'
elif a[i] == 'e':
s = s+'2'
elif a[i] == 'i':
s = s+'3'
elif a[i] == 'o':
s = s+'4'
elif a[i] == 'u':
s = s+'5'
else:
s = s+a[i].upper()
print s
| 17.285714 | 37 | 0.327824 | 62 | 363 | 1.903226 | 0.467742 | 0.101695 | 0.20339 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.029703 | 0.443526 | 363 | 20 | 38 | 18.15 | 0.554455 | 0 | 0 | 0 | 0 | 0 | 0.081633 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0.055556 | 0 | 0 | 1 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
475c7c66f600cc7fa880549ce3f29232c977bc4d | 2,439 | py | Python | test/nodes/test_accumulate.py | HerySon/timeflux | 01a5a27a3368afe8b0c1da475f84618e11ffec3b | [
"MIT"
] | 123 | 2019-01-09T08:57:39.000Z | 2022-03-18T18:59:51.000Z | test/nodes/test_accumulate.py | HerySon/timeflux | 01a5a27a3368afe8b0c1da475f84618e11ffec3b | [
"MIT"
] | 43 | 2019-03-08T10:16:39.000Z | 2021-06-14T17:17:18.000Z | test/nodes/test_accumulate.py | HerySon/timeflux | 01a5a27a3368afe8b0c1da475f84618e11ffec3b | [
"MIT"
] | 18 | 2019-03-26T08:51:21.000Z | 2021-10-14T23:10:33.000Z | """Tests for accumulate.py"""
import pandas as pd
import xarray as xr
from timeflux.helpers.testing import DummyData, DummyXArray
from timeflux.nodes.accumulate import AppendDataFrame, AppendDataArray
xarray_data = DummyXArray()
pandas_data = DummyData()
def test_append_dataframe():
""""Test node AppendDataFrame"""
node = AppendDataFrame()
pandas_data.reset()
node.clear()
# gate is not closed, data should be accumulated but not released
# first chunk
node.i.data = pandas_data.next(5)
node.update()
# assert no output
assert node.o.data == None
# assert the data has been buffered
pd.testing.assert_frame_equal(pandas_data._data.iloc[:5, :], node._data)
# second chunk
node.clear()
node.i.data = pandas_data.next(10)
node.update()
# assert no output
assert node.o.data == None
# assert the buffer is the concatenation of the 2 accumulated chunks
pd.testing.assert_frame_equal(pandas_data._data.iloc[:15, :], node._data)
# now a meta is received, assessing that the gate has just closed
node.i.data = pandas_data.next(5)
node.i.meta = {'gate_status': 'closed'}
node.update()
# assert output data is the concatenation of the 3 chunks
pd.testing.assert_frame_equal(pandas_data._data.iloc[:20, :], node.o.data)
def test_append_dataarray():
""""Test node AppendDataArray"""
node = AppendDataArray(dim='time')
xarray_data.reset()
node.clear()
# gate is not closed, data should be accumulated but not released
# first chunk
node.i.data = xarray_data.next(5)
node.update()
# assert no output
assert node.o.data == None
# assert the data has been buffered
xr.testing.assert_equal(xarray_data._data.isel({'time': slice(0, 5)}), node._data_list[0])
# second chunk
node.clear()
node.i.data = xarray_data.next(10)
node.update()
# assert no output
assert node.o.data == None
# assert the buffer is the concatenation of the 2 accumulated chunks
xr.testing.assert_equal(xarray_data._data.isel({'time': slice(5, 15)}), node._data_list[1])
# now a meta is received, assessing that the gate has just closed
node.i.data = xarray_data.next(5)
node.i.meta = {'gate_status': 'closed'}
node.update()
# assert output data is the concatenation of the 3 chunks
xr.testing.assert_equal(xarray_data._data.isel({'time': slice(0, 20)}), node.o.data)
| 34.842857 | 95 | 0.692907 | 356 | 2,439 | 4.626404 | 0.224719 | 0.048573 | 0.032787 | 0.031573 | 0.741955 | 0.741955 | 0.734669 | 0.699454 | 0.684882 | 0.658774 | 0 | 0.013726 | 0.193522 | 2,439 | 69 | 96 | 35.347826 | 0.823589 | 0.314063 | 0 | 0.5 | 0 | 0 | 0.030488 | 0 | 0 | 0 | 0 | 0 | 0.25 | 1 | 0.05 | false | 0 | 0.1 | 0 | 0.15 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
4764c5147f99d04ca00f8f21665bfcebc43100f2 | 1,548 | py | Python | apps/flights/models.py | Houston-ARTCC/information-display-system | a98fa032cd2e94111be0f60914141ddab21b2e50 | [
"MIT"
] | 1 | 2021-12-24T09:21:56.000Z | 2021-12-24T09:21:56.000Z | apps/flights/models.py | Houston-ARTCC/information-display-system | a98fa032cd2e94111be0f60914141ddab21b2e50 | [
"MIT"
] | null | null | null | apps/flights/models.py | Houston-ARTCC/information-display-system | a98fa032cd2e94111be0f60914141ddab21b2e50 | [
"MIT"
] | null | null | null | from django.db import models
class EnrouteFlight(models.Model):
# 3
callsign = models.CharField(max_length=255)
# 4
aircraft = models.CharField(max_length=255)
# 5
tas_filed = models.IntegerField(null=True, blank=True)
# 8
tas_actual = models.IntegerField(null=True, blank=True)
# 11
prev_fix = models.CharField(max_length=255, null=True, blank=True)
# 12
prev_fix_time = models.IntegerField(null=True, blank=True)
# 13
prev_fix_time_rev = models.IntegerField(null=True, blank=True)
# 14
prev_fix_time_actual = models.IntegerField(null=True, blank=True)
# 14a
post_fix_plus = models.IntegerField(null=True, blank=True)
# 15
post_fix_time = models.IntegerField(null=True, blank=True)
# 18
post_fix_time_actual = models.IntegerField(null=True, blank=True)
# 19
post_fix = models.CharField(max_length=255, null=True, blank=True)
# 20
altitude = models.IntegerField(null=True, blank=True)
# 21
next_fix = models.CharField(max_length=255, null=True, blank=True)
# 22
next_fix_time = models.IntegerField(null=True, blank=True)
# 23
arrival = models.BooleanField()
# 24
requested_altitude = models.IntegerField(null=True, blank=True)
# 25
route = models.TextField(null=True, blank=True)
# 27
transponder = models.IntegerField(null=True, blank=True)
coast = models.BooleanField(default=False)
discarded = models.BooleanField(default=False)
def __str__(self):
return self.callsign
| 31.591837 | 70 | 0.692506 | 203 | 1,548 | 5.123153 | 0.305419 | 0.123077 | 0.2 | 0.261538 | 0.657692 | 0.605769 | 0.471154 | 0.349038 | 0.227885 | 0.135577 | 0 | 0.039453 | 0.197674 | 1,548 | 48 | 71 | 32.25 | 0.797907 | 0.034238 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0 | 0.04 | 0.04 | 1 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
4777ae464f22d0777ef6e90c4880e464f3b0d977 | 1,746 | py | Python | case/month_case.py | mikerah13/python_samples | c4cd8af3cee99a5199dd2231f182240c35984b97 | [
"MIT"
] | null | null | null | case/month_case.py | mikerah13/python_samples | c4cd8af3cee99a5199dd2231f182240c35984b97 | [
"MIT"
] | null | null | null | case/month_case.py | mikerah13/python_samples | c4cd8af3cee99a5199dd2231f182240c35984b97 | [
"MIT"
] | null | null | null | """
month picker simple case implementation in python
"""
class Case(object):
"""
class to return a month
"""
def what_month(self, num):
"""
returns the month
Arguments:
num {int} -- month
Returns:
string -- month
"""
method_name = "month_{}".format(num)
method = getattr(self, method_name, lambda: "Invalid Input")
return method()
@staticmethod
def month_1():
'''
jan
'''
return "January"
@staticmethod
def month_2():
'''
feb
'''
return "February"
@staticmethod
def month_3():
'''
mar
'''
return "March"
@staticmethod
def month_4():
'''
apr
'''
return "April"
@staticmethod
def month_5():
'''
may
'''
return "May"
@staticmethod
def month_6():
'''
jun
'''
return "June"
@staticmethod
def month_7():
'''
jul
'''
return "July"
@staticmethod
def month_8():
'''
aug
'''
return "August"
@staticmethod
def month_9():
'''
sep
'''
return "Setember"
@staticmethod
def month_10():
'''
oct
'''
return "October"
@staticmethod
def month_11():
'''
nov
'''
return "November"
@staticmethod
def month_12():
'''
dec
'''
return "December"
if __name__ == "__main__":
MY_MONTH = Case()
print(MY_MONTH.what_month(input("Please Enter the Month Number: ")))
| 15.315789 | 72 | 0.438144 | 146 | 1,746 | 5.054795 | 0.486301 | 0.243902 | 0.325203 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015337 | 0.439863 | 1,746 | 113 | 73 | 15.451327 | 0.739264 | 0.116838 | 0 | 0.272727 | 0 | 0 | 0.111953 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.295455 | false | 0 | 0 | 0 | 0.613636 | 0.022727 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
4785aeec50459b5c794e4cc079c54e6357d0e3d3 | 826 | py | Python | gameplay/Achievement.py | WilliamDASILVA/TheMysteryOfSchweitzer | f81edc2e202bd5009fc96ccfbbfcc40bc135a17a | [
"MIT"
] | null | null | null | gameplay/Achievement.py | WilliamDASILVA/TheMysteryOfSchweitzer | f81edc2e202bd5009fc96ccfbbfcc40bc135a17a | [
"MIT"
] | null | null | null | gameplay/Achievement.py | WilliamDASILVA/TheMysteryOfSchweitzer | f81edc2e202bd5009fc96ccfbbfcc40bc135a17a | [
"MIT"
] | null | null | null | from engine import Global;
# --------------------------------------------------- *\
# [class] Achievement()
#
# * Create an achievement element *
#
# --------------------------------------------------- */
class Achievement():
def __init__(self, name = None, description = None, functionToCallWhenAchieve = None):
self.isDone = False;
self.name = name;
self.description = description;
self.functionToCallWhenAchieve = functionToCallWhenAchieve;
def setName(self, name):
self.name = name;
def setDescription(self, description):
self.description = description;
def getStatus(self):
return self.isDone;
def getName(self):
return self.name;
def getDescription(self):
return self.description;
# set the achievement done
def done(self):
self.isDone = True;
self.functionToCallWhenAchieve();
| 21.736842 | 87 | 0.628329 | 77 | 826 | 6.688312 | 0.363636 | 0.07767 | 0.081553 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.150121 | 826 | 37 | 88 | 22.324324 | 0.733618 | 0.232446 | 0 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.35 | false | 0 | 0.05 | 0.15 | 0.6 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
479e3778a0522482bca10122b77163b637c3db2c | 479 | py | Python | revibe/_errors/platforms.py | Revibe-Music/core-services | 6b11cf16ad2c35d948f3a5c0e7a161e5b7cfc1b2 | [
"MIT"
] | 2 | 2022-01-24T23:30:18.000Z | 2022-01-26T00:21:22.000Z | revibe/_errors/platforms.py | Revibe-Music/core-services | 6b11cf16ad2c35d948f3a5c0e7a161e5b7cfc1b2 | [
"MIT"
] | null | null | null | revibe/_errors/platforms.py | Revibe-Music/core-services | 6b11cf16ad2c35d948f3a5c0e7a161e5b7cfc1b2 | [
"MIT"
] | null | null | null | from rest_framework.exceptions import APIException
from revibe._errors import network
from revibe._helpers import const, status
# -----------------------------------------------------------------------------
class InvalidPlatformContent(network.ProgramError):
default_detail = "Invalid platform content"
class InvalidPlatformOperation(Exception):
pass
class PlatformNotFoundError(network.BadRequestError):
default_detail = "The requested platform does not exist" | 31.933333 | 79 | 0.686848 | 42 | 479 | 7.714286 | 0.714286 | 0.061728 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.106472 | 479 | 15 | 80 | 31.933333 | 0.757009 | 0.160752 | 0 | 0 | 0 | 0 | 0.15212 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.111111 | 0.333333 | 0 | 0.888889 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 3 |
47a8b4c5ecefa24111662275036b8a86fc4bcfb9 | 292 | py | Python | sample/Weight.py | kishore03109/PersonalTrainerBot | 12616f9001ef4c8640a8d6df27b29f85c0dff58d | [
"MIT"
] | null | null | null | sample/Weight.py | kishore03109/PersonalTrainerBot | 12616f9001ef4c8640a8d6df27b29f85c0dff58d | [
"MIT"
] | null | null | null | sample/Weight.py | kishore03109/PersonalTrainerBot | 12616f9001ef4c8640a8d6df27b29f85c0dff58d | [
"MIT"
] | null | null | null | from datetime import datetime
class Weight:
def __init__(self, value, tz=None):
self.value = value
self.datetime = datetime.now(tz).strftime('%D')
def __repr__(self):
return '{value:' + self.value \
+ ', datetime:'+str(self.datetime) + '}'
| 22.461538 | 56 | 0.578767 | 33 | 292 | 4.878788 | 0.515152 | 0.167702 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.273973 | 292 | 12 | 57 | 24.333333 | 0.759434 | 0 | 0 | 0 | 0 | 0 | 0.072165 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.125 | 0.125 | 0.625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
47b705185ef01e8147d00ae336d286d67d9e6c78 | 1,776 | py | Python | database/models.py | SebastjanLeskovar/thundergames | 7a716dfc8ded43c5eab2833740a8fb0df99aafab | [
"MIT"
] | null | null | null | database/models.py | SebastjanLeskovar/thundergames | 7a716dfc8ded43c5eab2833740a8fb0df99aafab | [
"MIT"
] | null | null | null | database/models.py | SebastjanLeskovar/thundergames | 7a716dfc8ded43c5eab2833740a8fb0df99aafab | [
"MIT"
] | null | null | null | from django.db import models
from django.urls import reverse
class TimeStampedModel(models.Model):
"""An abstract base class model that provides self-updating 'created' and 'modified' fields.
"""
created = models.DateTimeField(auto_now_add=True)
modified = models.DateTimeField(auto_now=True)
class MainGenre(TimeStampedModel):
"""Model to create MainGenre objects."""
name = models.CharField("Name", max_length=50)
image = models.ImageField("Image", upload_to='main_genre', blank=True, default='default.png')
def __str__(self):
return self.name
def get_absolute_url(self):
return reverse('database:main-genre', kwargs={'pk': self.pk})
class Subgenre(TimeStampedModel):
"""Model to create Subgenre objects."""
name = models.CharField("Name", max_length=50)
main_genre = models.ForeignKey(MainGenre, verbose_name="main genre", on_delete=models.SET("Please select main genre."))
image = models.ImageField("Image", upload_to='subgenre', blank=True, default='default.png')
def __str__(self):
return self.name
def get_absolute_url(self):
return reverse('database:subgenre', kwargs={'pk': self.pk})
class Game(TimeStampedModel):
"""Model to create Game objects."""
name = models.CharField("Name", max_length=50)
main_genre = models.ForeignKey(MainGenre, verbose_name="main genre", blank=True, on_delete=models.SET("Please select main genre."))
subgenres = models.ManyToManyField(Subgenre, verbose_name="Subgenre", blank=True)
image = models.ImageField("Image", upload_to='game', blank=True, default='default.png')
def __str__(self):
return self.name
def get_absolute_url(self):
return reverse('database:game', kwargs={'pk': self.pk})
| 37.787234 | 135 | 0.707207 | 225 | 1,776 | 5.426667 | 0.28 | 0.058968 | 0.056511 | 0.071253 | 0.592138 | 0.561016 | 0.477477 | 0.477477 | 0.381654 | 0.381654 | 0 | 0.004016 | 0.158784 | 1,776 | 46 | 136 | 38.608696 | 0.813253 | 0.105856 | 0 | 0.413793 | 0 | 0 | 0.137644 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.206897 | false | 0 | 0.068966 | 0.206897 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
47c68f97f0b4ef020a13fc1e558df4deceff8942 | 837 | py | Python | invenio_records_lom/services/schemas.py | tu-graz-library/invenio-records-lom | c811506e51a1ed15d11cf10d6e6ef83a4ecc202b | [
"MIT"
] | null | null | null | invenio_records_lom/services/schemas.py | tu-graz-library/invenio-records-lom | c811506e51a1ed15d11cf10d6e6ef83a4ecc202b | [
"MIT"
] | 18 | 2020-10-21T07:58:14.000Z | 2022-03-29T12:10:25.000Z | invenio_records_lom/services/schemas.py | tu-graz-library/invenio-records-lom | c811506e51a1ed15d11cf10d6e6ef83a4ecc202b | [
"MIT"
] | 7 | 2020-10-06T08:46:40.000Z | 2021-07-06T13:21:29.000Z | # -*- coding: utf-8 -*-
#
# Copyright (C) 2021 Graz University of Technology.
#
# invenio-records-lom is free software; you can redistribute it and/or modify it
# under the terms of the MIT License; see LICENSE file for more details.
"""Marshmallow schema for validating LOM JSONs."""
from marshmallow import Schema
class LOMRecordSchema(Schema):
"""Marshmallow schema for validating LOM JSONs."""
# TODO: write schema
def load(self, data, *, many=None, partial=None, unknown=None):
"""Overwrite validation: pipe data through unchanged and unvalidated for now."""
return data
# TODO: is: (obj: LOMDraft) -> LOMDraft; should be: (obj: LOMDraft) -> json
def dump(self, obj, *, many=None):
"""Overwrite validation: pipe obj through unchanged and unvalidated for now."""
return obj
| 32.192308 | 88 | 0.684588 | 109 | 837 | 5.256881 | 0.59633 | 0.059337 | 0.069808 | 0.104712 | 0.279232 | 0.279232 | 0.146597 | 0 | 0 | 0 | 0 | 0.007508 | 0.204301 | 837 | 25 | 89 | 33.48 | 0.852853 | 0.661888 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.04 | 0 | 1 | 0.333333 | false | 0 | 0.166667 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
47ce210ce35d9f0746e0d9629800ebc4a673fc83 | 76 | py | Python | electron apps/old/general_neural_network/python/test.py | quasarbright/quasarbright.github.io | 942710adf4a2531d033023a6f750efeddf3e9050 | [
"MIT"
] | 1 | 2021-01-23T13:50:34.000Z | 2021-01-23T13:50:34.000Z | electron apps/old/general_neural_network/python/test.py | quasarbright/quasarbright.github.io | 942710adf4a2531d033023a6f750efeddf3e9050 | [
"MIT"
] | 40 | 2018-02-19T19:37:24.000Z | 2022-03-25T18:34:22.000Z | electron apps/old/general_neural_network/python/test.py | quasarbright/quasarbright.github.io | 942710adf4a2531d033023a6f750efeddf3e9050 | [
"MIT"
] | 1 | 2018-12-07T03:07:21.000Z | 2018-12-07T03:07:21.000Z | import sys, time
for x in range(5):
print(sys.argv)
# time.sleep(2)
| 15.2 | 19 | 0.618421 | 14 | 76 | 3.357143 | 0.857143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.034483 | 0.236842 | 76 | 4 | 20 | 19 | 0.775862 | 0.171053 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0.333333 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
47dd4f490441c164b742ed90650131576a832dea | 305 | py | Python | test.py | gonzalo10/recipe-scrapers | e0abe9b66ed377f0ca9133fae2636bac6f9407e7 | [
"MIT"
] | null | null | null | test.py | gonzalo10/recipe-scrapers | e0abe9b66ed377f0ca9133fae2636bac6f9407e7 | [
"MIT"
] | null | null | null | test.py | gonzalo10/recipe-scrapers | e0abe9b66ed377f0ca9133fae2636bac6f9407e7 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from runScraper import test, scrapeRecipeUrl
from parser import parseIngredients
test('https://healthyfitnessmeals.com/artichoke-stuffed-chicken/')
# ingredient = parseIngredients(
# ["cans refrigerated crescent dinner rolls"])
# print(ingredient)
# print(scrapeRecipeUrl)
| 23.461538 | 66 | 0.757377 | 30 | 305 | 7.7 | 0.766667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003731 | 0.121311 | 305 | 12 | 67 | 25.416667 | 0.858209 | 0.465574 | 0 | 0 | 0 | 0 | 0.369427 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.666667 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
47f2f85f64526db1e4cdb462d88a6766758eb289 | 201 | py | Python | data/overall_updates.py | starrybouquet/sj-fanfic-recs | c2120c1461f53947cba4b5c5bdec634ae2b0b144 | [
"MIT"
] | null | null | null | data/overall_updates.py | starrybouquet/sj-fanfic-recs | c2120c1461f53947cba4b5c5bdec634ae2b0b144 | [
"MIT"
] | null | null | null | data/overall_updates.py | starrybouquet/sj-fanfic-recs | c2120c1461f53947cba4b5c5bdec634ae2b0b144 | [
"MIT"
] | null | null | null |
def add_filters_to_legend():
pass
def extend_data_from_recs():
pass
def find_errors():
'''find errors such as restricted works, etc. where data needs to be entered manually'''
pass
| 16.75 | 92 | 0.701493 | 30 | 201 | 4.466667 | 0.733333 | 0.104478 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.21393 | 201 | 11 | 93 | 18.272727 | 0.848101 | 0.40796 | 0 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | true | 0.5 | 0 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
47f9fa26f98e7529ae1d7d422a0678aee2c8e796 | 452 | py | Python | redis_websocket_api/exceptions.py | cclauss/redis-websocket-api | f4867f2eb2f6d0634ee4cd12021235ed5d0b6d1b | [
"MIT"
] | 6 | 2020-08-04T15:25:51.000Z | 2021-11-30T22:15:44.000Z | redis_websocket_api/exceptions.py | cclauss/redis-websocket-api | f4867f2eb2f6d0634ee4cd12021235ed5d0b6d1b | [
"MIT"
] | 8 | 2019-08-05T13:26:21.000Z | 2021-10-02T10:30:56.000Z | redis_websocket_api/exceptions.py | cclauss/redis-websocket-api | f4867f2eb2f6d0634ee4cd12021235ed5d0b6d1b | [
"MIT"
] | 3 | 2019-08-04T06:30:05.000Z | 2021-11-09T08:15:47.000Z | class APIError(Exception):
"""Base exception for errors raised by high-level websocket API."""
class MessageHandlerError(APIError):
"""Decoding or parsing a message failed."""
class RemoteMessageHandlerError(MessageHandlerError):
"""Raised for errors directly caused by messages from the client."""
class InternalMessageHandlerError(MessageHandlerError):
"""Raised for errors directly caused by messages from internal sources."""
| 30.133333 | 78 | 0.765487 | 48 | 452 | 7.208333 | 0.604167 | 0.078035 | 0.16185 | 0.196532 | 0.358382 | 0.358382 | 0.358382 | 0.358382 | 0.358382 | 0 | 0 | 0 | 0.143805 | 452 | 14 | 79 | 32.285714 | 0.894057 | 0.511062 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
9a0065e76a1835ec4747efed01ccc14a4a984f87 | 66 | py | Python | tug_observers/tug_observer_plugins/tug_observer_plugin_utils/scripts/hypothesis_check/single_value_hypothesis_check/__init__.py | annajohny/sdp | 2f66e226fc335ae357001d07fbc74d30ab469509 | [
"BSD-3-Clause"
] | null | null | null | tug_observers/tug_observer_plugins/tug_observer_plugin_utils/scripts/hypothesis_check/single_value_hypothesis_check/__init__.py | annajohny/sdp | 2f66e226fc335ae357001d07fbc74d30ab469509 | [
"BSD-3-Clause"
] | null | null | null | tug_observers/tug_observer_plugins/tug_observer_plugin_utils/scripts/hypothesis_check/single_value_hypothesis_check/__init__.py | annajohny/sdp | 2f66e226fc335ae357001d07fbc74d30ab469509 | [
"BSD-3-Clause"
] | null | null | null | __all__ = ['single_value_hypothesis_check']
__author__ = 'stefan'
| 22 | 43 | 0.787879 | 7 | 66 | 5.857143 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.090909 | 66 | 2 | 44 | 33 | 0.683333 | 0 | 0 | 0 | 0 | 0 | 0.530303 | 0.439394 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
9a0d01af6ad32aefa7a05126b118104acfa98f30 | 1,321 | py | Python | app/datasets/AugmentConfig.py | taoyilee/Keras_MedicalImgAI | 02ecf1f52ee91e3050b2d30f602a3161ff0726cf | [
"MIT"
] | 26 | 2018-03-14T13:58:22.000Z | 2022-02-11T14:32:48.000Z | app/datasets/AugmentConfig.py | taoyilee/Keras_MedicalImgAI | 02ecf1f52ee91e3050b2d30f602a3161ff0726cf | [
"MIT"
] | 3 | 2018-11-09T21:54:03.000Z | 2020-05-08T09:07:06.000Z | app/datasets/AugmentConfig.py | taoyilee/Keras_MedicalImgAI | 02ecf1f52ee91e3050b2d30f602a3161ff0726cf | [
"MIT"
] | 9 | 2018-03-14T13:58:25.000Z | 2020-06-02T03:21:48.000Z | import configparser
from app.imagetoolbox.ImageConfigBase import ImageConfigBase
from app.utilities.util_config import assign_fallback
class AugmentConfig(ImageConfigBase):
SECTION = "IMAGE-AUGMENATION"
_train_augmentation = True
_dev_augmentation = False
_random_horz_flip = False
_random_vert_flip = False
_flip_prob = 0.5
def __init__(self, cp: configparser.ConfigParser):
super(AugmentConfig, self).__init__(cp)
if self.SECTION not in self.cp.sections():
self.cp.read_dict({self.SECTION: {}})
@property
def train_augmentation(self):
return assign_fallback(self.cp[self.SECTION].getboolean("train_augmentation"), self._train_augmentation)
@property
def dev_augmentation(self):
return assign_fallback(self.cp[self.SECTION].getboolean("dev_augmentation"), self._dev_augmentation)
@property
def flip_prob(self):
return assign_fallback(self.cp[self.SECTION].getfloat("flip_prob"), self._flip_prob)
@property
def random_horz_flip(self):
return assign_fallback(self.cp[self.SECTION].getboolean("random_horz_flip"), self._random_horz_flip)
@property
def random_vert_flip(self):
return assign_fallback(self.cp[self.SECTION].getboolean("random_vert_flip"), self._random_vert_flip)
| 33.025 | 112 | 0.735806 | 161 | 1,321 | 5.701863 | 0.267081 | 0.052288 | 0.087146 | 0.130719 | 0.314815 | 0.314815 | 0.314815 | 0.314815 | 0.270153 | 0.270153 | 0 | 0.001815 | 0.165784 | 1,321 | 39 | 113 | 33.871795 | 0.831216 | 0 | 0 | 0.172414 | 0 | 0 | 0.069644 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.206897 | false | 0 | 0.103448 | 0.172414 | 0.724138 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
9a284b83c7950d0b48841c8e509b0b4457299117 | 5,995 | py | Python | hotpot_km/tests/test_initialize.py | datalayer-externals/jupyter-kernel-manager-pool | 6d2f573cb1acbd8ea4682c27b29a3fa2d09ba4e4 | [
"BSD-3-Clause-Clear"
] | 4 | 2021-02-23T12:21:43.000Z | 2021-10-14T16:16:59.000Z | hotpot_km/tests/test_initialize.py | datalayer-externals/jupyter-kernel-manager-pool | 6d2f573cb1acbd8ea4682c27b29a3fa2d09ba4e4 | [
"BSD-3-Clause-Clear"
] | 10 | 2021-02-23T16:26:25.000Z | 2021-08-16T13:22:53.000Z | hotpot_km/tests/test_initialize.py | datalayer-externals/jupyter-kernel-manager-pool | 6d2f573cb1acbd8ea4682c27b29a3fa2d09ba4e4 | [
"BSD-3-Clause-Clear"
] | 2 | 2021-02-23T09:02:17.000Z | 2021-08-19T07:09:29.000Z | import asyncio
from contextlib import asynccontextmanager
from unittest import mock
from pathlib import Path
from subprocess import PIPE
from tempfile import TemporaryDirectory
from unittest import TestCase
from jupyter_client.kernelspec import NATIVE_KERNEL_NAME
import pytest
from tornado.testing import AsyncTestCase, gen_test
from traitlets.config.loader import Config
from ..client_helper import ExecClient
try:
from .. import (
PooledKernelManager,
PooledMappingKernelManager,
MaximumKernelsException,
)
except ImportError:
pass
from .utils import async_shutdown_all_direct
class TestInitializePooled(AsyncTestCase):
# This is a snaity check for test_imports
@gen_test(timeout=20)
async def test_imports_not_used(self):
c = Config()
c.PooledKernelManager.kernel_pools = {NATIVE_KERNEL_NAME: 1}
c.PooledKernelManager.strict_pool_names = True
c.python_imports = []
km = PooledKernelManager(config=c)
try:
kid = await km.start_kernel()
kernel = km.get_kernel(kid)
self.assertIsNotNone(kernel)
client = ExecClient(kernel, _store_outputs=True)
async with client.setup_kernel():
await client.execute('import sys\nprint("turtle" in sys.modules)')
self.assertEqual(
client._outputs,
[{"name": "stdout", "output_type": "stream", "text": "False\n"}],
)
finally:
await km.shutdown_all()
@gen_test(timeout=20)
async def test_imports(self):
c = Config()
c.PooledKernelManager.kernel_pools = {NATIVE_KERNEL_NAME: 1}
c.PooledKernelManager.strict_pool_names = True
c.PooledKernelManager.python_imports = ["turtle"]
# Need mapping to resolve kernel language
km = PooledKernelManager(config=c)
try:
kid = await km.start_kernel()
kernel = km.get_kernel(kid)
self.assertIsNotNone(kernel)
client = ExecClient(kernel, _store_outputs=True)
async with client.setup_kernel():
await client.execute('import sys\nprint("turtle" in sys.modules)')
self.assertEqual(
client._outputs,
[{"name": "stdout", "output_type": "stream", "text": "True\n"}],
)
finally:
await km.shutdown_all()
@pytest.mark.xfail() # initialize happens before update, so this won't work
@gen_test(timeout=20)
async def test_cwd_import(self):
with TemporaryDirectory() as tmp_dir:
# create a lcoal py module in cwd to test import
foo_mod = Path(tmp_dir) / "foo_module.py"
foo_mod.write_text("foo = 1")
c = Config()
c.PooledKernelManager.kernel_pools = {NATIVE_KERNEL_NAME: 1}
c.PooledKernelManager.strict_pool_names = True
c.PooledKernelManager.python_imports = ["foo_module"]
km = PooledKernelManager(config=c)
try:
kid = await km.start_kernel(cwd=tmp_dir)
kernel = km.get_kernel(kid)
self.assertIsNotNone(kernel)
client = ExecClient(kernel, _store_outputs=True)
async with client.setup_kernel():
await client.execute('import sys\nprint("foo_module" in sys.modules)')
self.assertEqual(
client._outputs,
[{"name": "stdout", "output_type": "stream", "text": "True\n"}],
)
finally:
await km.shutdown_all()
@gen_test(timeout=20)
async def test_file_init(self):
with TemporaryDirectory() as tmp_dir:
c = Config()
c.PooledKernelManager.kernel_pools = {NATIVE_KERNEL_NAME: 1}
c.PooledKernelManager.strict_pool_names = True
# Need mapping manager to resolve init files:
km = PooledKernelManager(config=c)
with mock.patch("jupyter_core.paths.jupyter_config_path") as jcp:
jcp.return_value = [tmp_dir]
# create a local py module in cwd to test import
foo_mod = Path(tmp_dir) / f"kernel_pool_init_{NATIVE_KERNEL_NAME}.py"
foo_mod.write_text("foo = 1")
try:
kid = await km.start_kernel()
kernel = km.get_kernel(kid)
self.assertIsNotNone(kernel)
client = ExecClient(kernel, _store_outputs=True)
async with client.setup_kernel():
await client.execute("print(foo)")
self.assertEqual(
client._outputs,
[{"name": "stdout", "output_type": "stream", "text": "1\n"}],
)
finally:
await km.shutdown_all()
@gen_test(timeout=20)
async def test_init(self):
with TemporaryDirectory() as tmp_dir:
c = Config()
c.PooledKernelManager.kernel_pools = {NATIVE_KERNEL_NAME: 1}
c.PooledKernelManager.strict_pool_names = True
c.PooledKernelManager.initialization_code = {NATIVE_KERNEL_NAME: "import turtle"}
# Need mapping manager to resolve init files:
km = PooledKernelManager(config=c)
await km.wait_for_pool()
try:
kid = await km.start_kernel()
kernel = km.get_kernel(kid)
self.assertIsNotNone(kernel)
client = ExecClient(kernel, _store_outputs=True)
async with client.setup_kernel():
await client.execute('import sys\nprint("turtle" in sys.modules)')
self.assertEqual(
client._outputs,
[{"name": "stdout", "output_type": "stream", "text": "True\n"}],
)
finally:
await km.shutdown_all() | 37.236025 | 93 | 0.589491 | 633 | 5,995 | 5.391785 | 0.210111 | 0.076179 | 0.037504 | 0.02344 | 0.726047 | 0.726047 | 0.716086 | 0.695576 | 0.68327 | 0.68327 | 0 | 0.004412 | 0.319433 | 5,995 | 161 | 94 | 37.236025 | 0.832108 | 0.052377 | 0 | 0.651515 | 0 | 0 | 0.087945 | 0.0178 | 0 | 0 | 0 | 0 | 0.075758 | 1 | 0 | false | 0.007576 | 0.19697 | 0 | 0.204545 | 0.037879 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
9a40be908b08af34233c8d77338d93f5a27b919e | 458 | py | Python | CollegeDatabasePython/Student.py | Sejoslaw/CollegeDatabase | 7dedd9df3a961202e94a90a14b2c3a78847439dd | [
"Zlib"
] | null | null | null | CollegeDatabasePython/Student.py | Sejoslaw/CollegeDatabase | 7dedd9df3a961202e94a90a14b2c3a78847439dd | [
"Zlib"
] | null | null | null | CollegeDatabasePython/Student.py | Sejoslaw/CollegeDatabase | 7dedd9df3a961202e94a90a14b2c3a78847439dd | [
"Zlib"
] | null | null | null | from AbstractPerson import AbstractPerson
import string
class Student(AbstractPerson):
def __init__(self, firstName, lastName, groupId):
AbstractPerson.__init__(self, firstName, lastName)
self.GroupId = groupId
def GroupId(self):
return self.GroupId
def ToString(self):
return "Student[Id = {0}, First Name = {1}, Last Name {2}, GroupId = {3}]".format(self.Id, self.FirstName, self.LastName, self.GroupId); | 32.714286 | 144 | 0.683406 | 53 | 458 | 5.754717 | 0.433962 | 0.127869 | 0.111475 | 0.163934 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010959 | 0.203057 | 458 | 14 | 144 | 32.714286 | 0.824658 | 0 | 0 | 0 | 0 | 0.1 | 0.141612 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.3 | false | 0 | 0.2 | 0.2 | 0.8 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 |
7be8d3cd6f88dfba15a15e7fd2507a1253c8f7ca | 1,543 | py | Python | OpenGLWrapper_JE/venv/Lib/site-packages/OpenGL/GL/EXT/polygon_offset.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | null | null | null | OpenGLWrapper_JE/venv/Lib/site-packages/OpenGL/GL/EXT/polygon_offset.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | null | null | null | OpenGLWrapper_JE/venv/Lib/site-packages/OpenGL/GL/EXT/polygon_offset.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | null | null | null | '''OpenGL extension EXT.polygon_offset
This module customises the behaviour of the
OpenGL.raw.GL.EXT.polygon_offset to provide a more
Python-friendly API
Overview (from the spec)
The depth values of fragments generated by rendering polygons are
displaced by an amount that is proportional to the maximum absolute
value of the depth slope of the polygon, measured and applied in window
coordinates. This displacement allows lines (or points) and polygons
in the same plane to be rendered without interaction -- the lines
rendered either completely in front of or behind the polygons
(depending on the sign of the offset factor). It also allows multiple
coplanar polygons to be rendered without interaction, if different
offset factors are used for each polygon. Applications include
rendering hidden-line images, rendering solids with highlighted edges,
and applying `decals' to surfaces.
The official definition of this extension is available here:
http://www.opengl.org/registry/specs/EXT/polygon_offset.txt
'''
from OpenGL import platform, constant, arrays
from OpenGL import extensions, wrapper
import ctypes
from OpenGL.raw.GL import _types, _glgets
from OpenGL.raw.GL.EXT.polygon_offset import *
from OpenGL.raw.GL.EXT.polygon_offset import _EXTENSION_NAME
def glInitPolygonOffsetEXT():
'''Return boolean indicating whether this extension is available'''
from OpenGL import extensions
return extensions.hasGLExtension( _EXTENSION_NAME )
### END AUTOGENERATED SECTION | 41.702703 | 73 | 0.785483 | 216 | 1,543 | 5.560185 | 0.546296 | 0.049958 | 0.066611 | 0.034971 | 0.134055 | 0.084097 | 0.061615 | 0.061615 | 0 | 0 | 0 | 0 | 0.167855 | 1,543 | 37 | 74 | 41.702703 | 0.935358 | 0.777058 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | true | 0 | 0.777778 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
7bfc5cf9606ae0e95e9c5725ebe828ec749b97df | 552 | py | Python | mando/tests/capture.py | mollypi/mando | 8e28ada5654693cf51f05ccd74fd3bfce2984e02 | [
"MIT"
] | 46 | 2015-01-03T16:06:17.000Z | 2022-03-31T12:50:34.000Z | mando/tests/capture.py | mollypi/mando | 8e28ada5654693cf51f05ccd74fd3bfce2984e02 | [
"MIT"
] | 40 | 2015-01-03T16:32:22.000Z | 2022-03-05T19:51:09.000Z | mando/tests/capture.py | mollypi/mando | 8e28ada5654693cf51f05ccd74fd3bfce2984e02 | [
"MIT"
] | 15 | 2015-01-20T03:08:21.000Z | 2021-12-15T07:43:34.000Z | #!/usr/bin/env python
'''
Capture function
----------------------------------
'''
import sys
from contextlib import contextmanager
try:
from cStringIO import StringIO
except ImportError:
from io import StringIO
@contextmanager
def capture_sys_output():
capture_out, capture_err = StringIO(), StringIO()
current_out, current_err = sys.stdout, sys.stderr
try:
sys.stdout, sys.stderr = capture_out, capture_err
yield capture_out, capture_err
finally:
sys.stdout, sys.stderr = current_out, current_err
| 20.444444 | 57 | 0.67029 | 65 | 552 | 5.507692 | 0.4 | 0.083799 | 0.142458 | 0.167598 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.192029 | 552 | 26 | 58 | 21.230769 | 0.802691 | 0.130435 | 0 | 0.133333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | true | 0 | 0.333333 | 0 | 0.4 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
d002dbb26129b139fcfff1650d10e0c6fb39725a | 409 | py | Python | tag.py | oliviazz/noteable | fda68f819e64b99f8d67d34227cbe74b6f2a08bc | [
"MIT"
] | null | null | null | tag.py | oliviazz/noteable | fda68f819e64b99f8d67d34227cbe74b6f2a08bc | [
"MIT"
] | null | null | null | tag.py | oliviazz/noteable | fda68f819e64b99f8d67d34227cbe74b6f2a08bc | [
"MIT"
] | null | null | null | #!/usr/bin/env python
#-----------------------------------------------------------------------
# tag.py
# Author: Olivia Zhang, Zoe Barnswell, Lyra Katzman
#-----------------------------------------------------------------------
#-----------------------------------------------------------------------
class Tag:
#
def __init__(self, tagID):
self.tagID = tagID
self.numArticles = 0 | 31.461538 | 72 | 0.288509 | 25 | 409 | 4.56 | 0.8 | 0.157895 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002817 | 0.132029 | 409 | 13 | 73 | 31.461538 | 0.31831 | 0.711491 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
d01d3f74de2cf80db1c148df3598cd8fee729a0c | 481 | py | Python | mason/test/support/clients/test2/scheduler.py | kyprifog/mason | bf45672124ef841bc16216c293034f4ccc506621 | [
"Apache-2.0"
] | 4 | 2021-04-12T17:49:34.000Z | 2022-01-23T19:54:29.000Z | mason/test/support/clients/test2/scheduler.py | kyprifog/mason | bf45672124ef841bc16216c293034f4ccc506621 | [
"Apache-2.0"
] | 24 | 2021-04-30T18:40:25.000Z | 2021-05-12T20:52:06.000Z | mason/test/support/clients/test2/scheduler.py | kyprifog/mason | bf45672124ef841bc16216c293034f4ccc506621 | [
"Apache-2.0"
] | 3 | 2021-04-12T19:40:43.000Z | 2021-09-07T21:56:36.000Z | from typing import Union, Optional
from mason.clients.engines.scheduler import SchedulerClient
from mason.engines.scheduler.models.schedule import Schedule, InvalidSchedule
from mason.test.support.clients.test import TestClient
class Test2SchedulerClient(SchedulerClient):
def __init__(self, client: TestClient):
self.client = client
def validate_schedule(self, schedule: Optional[str] = None) -> Union[Optional[Schedule], InvalidSchedule]:
return None
| 34.357143 | 110 | 0.783784 | 54 | 481 | 6.888889 | 0.481481 | 0.072581 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00241 | 0.137214 | 481 | 13 | 111 | 37 | 0.893976 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0 | 0.444444 | 0.111111 | 0.888889 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 3 |
d02cf0a83177c34be3a94976eda10b48db06fdff | 240 | py | Python | forms.py | deeplook/slackipy | 9195ddb2de15e6e9eb8c3343fc3bd86b5b5a9c62 | [
"MIT"
] | 103 | 2015-11-09T07:15:18.000Z | 2019-10-03T16:08:18.000Z | forms.py | deeplook/slackipy | 9195ddb2de15e6e9eb8c3343fc3bd86b5b5a9c62 | [
"MIT"
] | 7 | 2015-11-11T09:30:17.000Z | 2021-09-09T03:36:26.000Z | forms.py | deeplook/slackipy | 9195ddb2de15e6e9eb8c3343fc3bd86b5b5a9c62 | [
"MIT"
] | 15 | 2015-11-08T07:38:02.000Z | 2021-09-05T13:59:37.000Z | from flask_wtf import Form
from wtforms import validators
from wtforms.fields.html5 import EmailField
class InviteForm(Form):
email = EmailField('Email Address',
[validators.DataRequired(), validators.Email()])
| 26.666667 | 71 | 0.7125 | 26 | 240 | 6.538462 | 0.576923 | 0.129412 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005236 | 0.204167 | 240 | 8 | 72 | 30 | 0.884817 | 0 | 0 | 0 | 0 | 0 | 0.054167 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.833333 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
d0716e0fb511539838ed4c192af48c44c50b2785 | 152 | py | Python | WebVisualizations/Data.py | qizhengyaoyao/Web-Design-Challenge | 7f5420163e8c3eca14fb11c6f92f1f32d7a4194c | [
"ADSL"
] | null | null | null | WebVisualizations/Data.py | qizhengyaoyao/Web-Design-Challenge | 7f5420163e8c3eca14fb11c6f92f1f32d7a4194c | [
"ADSL"
] | null | null | null | WebVisualizations/Data.py | qizhengyaoyao/Web-Design-Challenge | 7f5420163e8c3eca14fb11c6f92f1f32d7a4194c | [
"ADSL"
] | null | null | null | import pandas as pd
cities = pd.read_csv("../Resources/cities.csv")
cities.set_index('City_ID', inplace=True)
cities.to_html("../Resources/cities.html") | 38 | 47 | 0.756579 | 24 | 152 | 4.625 | 0.666667 | 0.27027 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.059211 | 152 | 4 | 48 | 38 | 0.776224 | 0 | 0 | 0 | 0 | 0 | 0.352941 | 0.30719 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
d07398159a8c43d5f5043d0fd39525a97b1414b9 | 1,478 | py | Python | pliers/extractors/api/__init__.py | adelavega/pliers | dee21102689c77a56b7da48bf9a0ac10c90be0eb | [
"BSD-3-Clause"
] | null | null | null | pliers/extractors/api/__init__.py | adelavega/pliers | dee21102689c77a56b7da48bf9a0ac10c90be0eb | [
"BSD-3-Clause"
] | null | null | null | pliers/extractors/api/__init__.py | adelavega/pliers | dee21102689c77a56b7da48bf9a0ac10c90be0eb | [
"BSD-3-Clause"
] | null | null | null | from .clarifai import ClarifaiAPIExtractor
from .indico import (IndicoAPITextExtractor,
IndicoAPIImageExtractor)
from .google import (GoogleVisionAPIFaceExtractor,
GoogleVisionAPILabelExtractor,
GoogleVisionAPIPropertyExtractor,
GoogleVisionAPISafeSearchExtractor,
GoogleVisionAPIWebEntitiesExtractor)
from .microsoft import (MicrosoftAPIFaceExtractor,
MicrosoftAPIFaceEmotionExtractor,
MicrosoftVisionAPIExtractor,
MicrosoftVisionAPITagExtractor,
MicrosoftVisionAPICategoryExtractor,
MicrosoftVisionAPIImageTypeExtractor,
MicrosoftVisionAPIColorExtractor,
MicrosoftVisionAPIAdultExtractor)
__all__ = [
'ClarifaiAPIExtractor',
'IndicoAPITextExtractor',
'IndicoAPIImageExtractor',
'GoogleVisionAPIFaceExtractor',
'GoogleVisionAPILabelExtractor',
'GoogleVisionAPIPropertyExtractor',
'GoogleVisionAPISafeSearchExtractor',
'GoogleVisionAPIWebEntitiesExtractor',
'MicrosoftAPIFaceExtractor',
'MicrosoftAPIFaceEmotionExtractor',
'MicrosoftVisionAPIExtractor',
'MicrosoftVisionAPITagExtractor',
'MicrosoftVisionAPICategoryExtractor',
'MicrosoftVisionAPIImageTypeExtractor',
'MicrosoftVisionAPIColorExtractor',
'MicrosoftVisionAPIAdultExtractor'
]
| 41.055556 | 61 | 0.690122 | 45 | 1,478 | 22.577778 | 0.511111 | 0.088583 | 0.175197 | 0.242126 | 0.801181 | 0.490157 | 0.490157 | 0.490157 | 0 | 0 | 0 | 0 | 0.261164 | 1,478 | 35 | 62 | 42.228571 | 0.930403 | 0 | 0 | 0 | 0 | 0 | 0.31935 | 0.305819 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.117647 | 0 | 0.117647 | 0 | 0 | 0 | 1 | null | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
d07ebfb2bc17510975625680315f9f960a059a21 | 126 | py | Python | piconly.py | robinwyss/raspberry-scripts | 1e5423271711eb1df69031ed8cd2638d35bbc50f | [
"MIT"
] | null | null | null | piconly.py | robinwyss/raspberry-scripts | 1e5423271711eb1df69031ed8cd2638d35bbc50f | [
"MIT"
] | null | null | null | piconly.py | robinwyss/raspberry-scripts | 1e5423271711eb1df69031ed8cd2638d35bbc50f | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import camera
print("taking a picture")
imagePath = camera.capture()
print("captured %s" % imagePath)
| 15.75 | 32 | 0.722222 | 17 | 126 | 5.352941 | 0.823529 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.126984 | 126 | 7 | 33 | 18 | 0.827273 | 0.15873 | 0 | 0 | 0 | 0 | 0.257143 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0.5 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 |
d086870cb5aff6bd8e6189f835ffce11a3f4c2c9 | 888 | py | Python | jetscape_analysis/analysis/reader/reader_base.py | raymondEhlers/JETSCAPE-analysis | c650fac0f8bfc4a2efa9342d47531420daf54f35 | [
"BSD-3-Clause"
] | 1 | 2020-07-18T17:36:08.000Z | 2020-07-18T17:36:08.000Z | jetscape_analysis/analysis/reader/reader_base.py | raymondEhlers/JETSCAPE-analysis | c650fac0f8bfc4a2efa9342d47531420daf54f35 | [
"BSD-3-Clause"
] | null | null | null | jetscape_analysis/analysis/reader/reader_base.py | raymondEhlers/JETSCAPE-analysis | c650fac0f8bfc4a2efa9342d47531420daf54f35 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
"""
Reader base class
Author: James Mulligan (james.mulligan@berkeley.edu)
"""
from __future__ import print_function
# Base class
from jetscape_analysis.base import common_base
################################################################
class ReaderBase(common_base.CommonBase):
# ---------------------------------------------------------------
# Constructor
# ---------------------------------------------------------------
def __init__(self, input_file="", **kwargs):
super(ReaderBase, self).__init__(**kwargs)
# ---------------------------------------------------------------
# Generator (in pythonic sense) to loop over all events
# ---------------------------------------------------------------
def __call__(self, n_events):
for i in range(0, n_events):
yield self.next_event()
| 29.6 | 69 | 0.422297 | 70 | 888 | 5.014286 | 0.685714 | 0.076923 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002663 | 0.154279 | 888 | 29 | 70 | 30.62069 | 0.464714 | 0.47973 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.25 | 0 | 0.625 | 0.125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
d0967c5ac05c0133ee4d6e77672474574e7d1868 | 2,828 | py | Python | fhirtordf/rdfsupport/dottednamespace.py | dnstone/fhirtordf | 2ec2ac2ea66798a39fa0c3f27c9803f69e7710d1 | [
"Apache-2.0"
] | null | null | null | fhirtordf/rdfsupport/dottednamespace.py | dnstone/fhirtordf | 2ec2ac2ea66798a39fa0c3f27c9803f69e7710d1 | [
"Apache-2.0"
] | null | null | null | fhirtordf/rdfsupport/dottednamespace.py | dnstone/fhirtordf | 2ec2ac2ea66798a39fa0c3f27c9803f69e7710d1 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2017, Mayo Clinic
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without modification,
# are permitted provided that the following conditions are met:
#
# Redistributions of source code must retain the above copyright notice, this
# list of conditions and the following disclaimer.
#
# Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
#
# Neither the name of the Mayo Clinic nor the names of its contributors
# may be used to endorse or promote products derived from this software
# without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
# IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT,
# INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
# BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
# LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE
# OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED
# OF THE POSSIBILITY OF SUCH DAMAGE.
from rdflib import Namespace, URIRef
class DottedNamespace(Namespace):
"""
An RDF namespace that supports the FHIR dotted notation (e.g. fhir:Patient.status)
"""
def __new__(cls, value):
return Namespace.__new__(cls, value)
def __getattribute__(self, item: str) -> "DottedURIRef":
if item == 'index':
return DottedURIRef(str(self) + item)
else:
return super().__getattribute__(item)
def __getattr__(self, item: str) -> "DottedURIRef":
return DottedURIRef(str(self) + item)
def __eq__(self, other):
return super().__eq__(other)
def __hash__(self):
return super().__hash__()
class DottedURIRef(URIRef):
"""
A URIRef that supports the FHIR dotted notation
"""
def __new__(cls, value, base=None):
return URIRef.__new__(cls, value, base)
def __getattr__(self, item: str) -> "DottedURIRef":
return DottedURIRef(str(self) + '.' + item)
def __eq__(self, other):
if isinstance(self, URIRef) and isinstance(other, URIRef):
return str(self) == str(other)
else:
return False
def __hash__(self):
fqn = URIRef.__module__ + '.' + URIRef.__name__
return hash(fqn) ^ hash(str(self))
| 38.216216 | 86 | 0.704385 | 365 | 2,828 | 5.282192 | 0.441096 | 0.024896 | 0.022822 | 0.035788 | 0.223548 | 0.18361 | 0.149378 | 0.149378 | 0.149378 | 0.149378 | 0 | 0.001808 | 0.217822 | 2,828 | 73 | 87 | 38.739726 | 0.869801 | 0.573904 | 0 | 0.357143 | 0 | 0 | 0.037456 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.321429 | false | 0 | 0.035714 | 0.214286 | 0.821429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
d0b094aee2624153e8d70ddd6c9e2a248b08e5b7 | 1,005 | py | Python | toml_adapt/ToolExtraction.py | StrajnarFilip/toml-adapt | e86731378b6fa779d07bd9bed9abdaf3ad112d5e | [
"MIT"
] | 1 | 2021-06-01T13:07:45.000Z | 2021-06-01T13:07:45.000Z | toml_adapt/ToolExtraction.py | StrajnarFilip/toml-adapt | e86731378b6fa779d07bd9bed9abdaf3ad112d5e | [
"MIT"
] | 20 | 2021-06-05T12:27:45.000Z | 2022-02-28T15:53:03.000Z | toml_adapt/ToolExtraction.py | StrajnarFilip/toml-adapt | e86731378b6fa779d07bd9bed9abdaf3ad112d5e | [
"MIT"
] | 2 | 2021-06-04T20:58:45.000Z | 2022-01-05T20:39:12.000Z | import pathlib
from typing import Any, Dict, MutableMapping
import toml
def IsSpecificPythonTool(toml_file_path: str, tool_name:str):
toml_loaded: MutableMapping[str,Any]=toml.load(toml_file_path)
if(toml_loaded.keys().__contains__("tool")):
toml_tool: Dict[str,Any]=toml_loaded["tool"]
if(toml_tool.keys().__contains__(tool_name)):
return True
return False
def IsFileFlit(toml_file_path: str) -> bool:
return IsSpecificPythonTool(toml_file_path,"flit")
def IsFilePoetry(toml_file_path: str) -> bool:
return IsSpecificPythonTool(toml_file_path,"poetry")
def IsFileCargo(toml_file_path: str) -> bool:
"""
Cargo requires the file to be named Cargo.toml
Checking only file path should not be ambiguous
"""
return pathlib.Path(toml_file_path).name == "Cargo.toml"
def IsFileJuliaPkg(toml_file_path: str) -> bool:
"""
Julia's pkg tool uses Project.toml file.
"""
return pathlib.Path(toml_file_path).name == "Project.toml" | 33.5 | 66 | 0.718408 | 137 | 1,005 | 5.014599 | 0.335766 | 0.128093 | 0.174672 | 0.10917 | 0.317322 | 0.262009 | 0.262009 | 0.165939 | 0.165939 | 0.165939 | 0 | 0 | 0.169154 | 1,005 | 30 | 67 | 33.5 | 0.822754 | 0.134328 | 0 | 0 | 0 | 0 | 0.047847 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.277778 | false | 0 | 0.166667 | 0.111111 | 0.777778 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
d0bf9dac421a820289451456f7dbba76dcba9978 | 131 | py | Python | src/ConsoleColors/PrintColor.py | flexiooss/flexio-flow | 47491c7e5b49a02dc859028de0d486edc0014b26 | [
"Apache-2.0"
] | null | null | null | src/ConsoleColors/PrintColor.py | flexiooss/flexio-flow | 47491c7e5b49a02dc859028de0d486edc0014b26 | [
"Apache-2.0"
] | 44 | 2019-04-05T06:08:15.000Z | 2021-09-13T19:37:49.000Z | src/ConsoleColors/PrintColor.py | flexiooss/flexio-flow | 47491c7e5b49a02dc859028de0d486edc0014b26 | [
"Apache-2.0"
] | null | null | null | from ConsoleColors.Fg import Fg
class PrintColor:
@staticmethod
def log(text: str):
print(text + Fg.RESET.value)
| 16.375 | 36 | 0.671756 | 17 | 131 | 5.176471 | 0.823529 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.236641 | 131 | 7 | 37 | 18.714286 | 0.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.2 | 0 | 0.6 | 0.2 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
d0c9a0f29762b4e11b74e189c42b7eb9d9c9da9c | 234 | py | Python | tests/datatypes/totest-anyType.py | thorstenb/pyxb | 634e86f61dfb73a2900f32fc3d819e9c25365a49 | [
"Apache-2.0"
] | null | null | null | tests/datatypes/totest-anyType.py | thorstenb/pyxb | 634e86f61dfb73a2900f32fc3d819e9c25365a49 | [
"Apache-2.0"
] | null | null | null | tests/datatypes/totest-anyType.py | thorstenb/pyxb | 634e86f61dfb73a2900f32fc3d819e9c25365a49 | [
"Apache-2.0"
] | null | null | null | import unittest
import pyxb.binding.datatypes as xsd
class Test_anyType (unittest.TestCase):
def testRange (self):
self.assertFalse("Datatype anyType test not implemented")
if __name__ == '__main__':
unittest.main()
| 23.4 | 65 | 0.735043 | 28 | 234 | 5.821429 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.17094 | 234 | 9 | 66 | 26 | 0.840206 | 0 | 0 | 0 | 0 | 0 | 0.192308 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 1 | 0.142857 | false | 0 | 0.285714 | 0 | 0.571429 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
d0c9c6990692d5181a10261a4bebd0db07d18402 | 148 | py | Python | infra/app.py | imrehg/ecs-deploy | 5a642b1b22fcf39ba8dcf5a14e3080ec56b38feb | [
"MIT"
] | null | null | null | infra/app.py | imrehg/ecs-deploy | 5a642b1b22fcf39ba8dcf5a14e3080ec56b38feb | [
"MIT"
] | null | null | null | infra/app.py | imrehg/ecs-deploy | 5a642b1b22fcf39ba8dcf5a14e3080ec56b38feb | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from aws_cdk import core
from infra.infra_stack import InfraStack
app = core.App()
InfraStack(app, "infra")
app.synth()
| 12.333333 | 40 | 0.736486 | 23 | 148 | 4.652174 | 0.608696 | 0.242991 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007874 | 0.141892 | 148 | 11 | 41 | 13.454545 | 0.834646 | 0.141892 | 0 | 0 | 0 | 0 | 0.039683 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.4 | 0 | 0.4 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
d0ca1684c1e235d80a135411e4ec5a28bc0398e3 | 461 | py | Python | mainS.py | Sniper970119/MemoryAssistInPython | 434efd09edbda7919a3f754374add7f34912fab7 | [
"MIT"
] | 19 | 2019-02-11T01:39:32.000Z | 2022-03-05T05:14:34.000Z | mainS.py | Sniper970119/MemoryAssistInPython | 434efd09edbda7919a3f754374add7f34912fab7 | [
"MIT"
] | 1 | 2020-02-04T15:20:04.000Z | 2020-06-04T05:02:06.000Z | mainS.py | Sniper970119/MemoryAssistInPython | 434efd09edbda7919a3f754374add7f34912fab7 | [
"MIT"
] | 5 | 2019-04-20T07:23:25.000Z | 2021-03-24T03:13:01.000Z | # -*- coding:utf-8 -*-
from src.Server.Conf.config import *
from src.Server.MessageTransferSystem.VersionControlSystem import versionControl
from src.Server.MessageReportSystem.messageReportSystem import MessageReportSystem
import os
# 主界面
if __name__ == '__main__':
versionControl.VersionControl()
threading.Thread(target=MessageReportSystem().run()).start()
# schedule.every().monday.at("00:00").do(MessageReportSystem().run())
# while True: | 35.461538 | 82 | 0.763557 | 48 | 461 | 7.166667 | 0.645833 | 0.061047 | 0.113372 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012107 | 0.104121 | 461 | 13 | 83 | 35.461538 | 0.820823 | 0.225597 | 0 | 0 | 0 | 0 | 0.022663 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.571429 | 0 | 0.571429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
d0f656b2fe1afde643d3112318bb530230fae2a5 | 203 | py | Python | src/payu_payment/serializers.py | wilantury/payu_integration_backend | 229ecf0b24e112d0fa84ad557b7e5ca8eab8a66a | [
"MIT"
] | null | null | null | src/payu_payment/serializers.py | wilantury/payu_integration_backend | 229ecf0b24e112d0fa84ad557b7e5ca8eab8a66a | [
"MIT"
] | null | null | null | src/payu_payment/serializers.py | wilantury/payu_integration_backend | 229ecf0b24e112d0fa84ad557b7e5ca8eab8a66a | [
"MIT"
] | null | null | null |
from rest_framework import serializers
from .models import LogPurchase
class LogPurchaseSerializer(serializers.ModelSerializer):
class Meta:
model = LogPurchase
fields = '__all__' | 20.3 | 57 | 0.748768 | 19 | 203 | 7.736842 | 0.736842 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.20197 | 203 | 10 | 58 | 20.3 | 0.907407 | 0 | 0 | 0 | 0 | 0 | 0.034483 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
1901fb6a46a9d87a7fa24096de857ae426a698dd | 429 | py | Python | Paracha_Junaid/Assignments/Python/Web_fund/grade.py | webguru001/Python-Django-Web | 6264bc4c90ef1432ba0902c76b567cf3caaae221 | [
"MIT"
] | 5 | 2019-05-17T01:30:02.000Z | 2021-06-17T21:02:58.000Z | Paracha_Junaid/Assignments/Python/Web_fund/grade.py | curest0x1021/Python-Django-Web | 6264bc4c90ef1432ba0902c76b567cf3caaae221 | [
"MIT"
] | null | null | null | Paracha_Junaid/Assignments/Python/Web_fund/grade.py | curest0x1021/Python-Django-Web | 6264bc4c90ef1432ba0902c76b567cf3caaae221 | [
"MIT"
] | null | null | null | def grade(x):
if 101>x>=90:
return 'Your Grade is A'
elif 89>=x>=80:
return 'Your Grade is B'
elif 79>=x>=70:
return 'Your Grade is C'
elif 69>=x>=60:
return 'Your Grade is D'
return 'not a correct value'
y = ['Score and Grade']
for i in range (0,10):
a = input('Enter a score between 60 and 100. ->')
x = ('Score: '+ str(a)+ ';'+ grade(a))
y.append(x)
i+=1
print '\n'.join(y)
print 'End of the program. Bye!'
| 20.428571 | 50 | 0.601399 | 84 | 429 | 3.071429 | 0.559524 | 0.155039 | 0.232558 | 0.263566 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.076923 | 0.212121 | 429 | 20 | 51 | 21.45 | 0.686391 | 0 | 0 | 0 | 0 | 0 | 0.382284 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0.111111 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
ef9b38195cd26fe3dd7ce0d3caf81fb96adfa802 | 163 | py | Python | utils/paths.py | Pipe-Runner-Lab/cornell_birdcall_identification | 79a807c4a7e368b2ffcb7ecc91176c2bc03f650a | [
"MIT"
] | null | null | null | utils/paths.py | Pipe-Runner-Lab/cornell_birdcall_identification | 79a807c4a7e368b2ffcb7ecc91176c2bc03f650a | [
"MIT"
] | 7 | 2021-08-23T20:52:07.000Z | 2022-03-12T00:48:51.000Z | utils/paths.py | Pipe-Runner-Lab/cornell_birdcall_identification | 79a807c4a7e368b2ffcb7ecc91176c2bc03f650a | [
"MIT"
] | null | null | null | CONFIG_DIR = '__config__'
DATA_ROOT_DIR = '__data__'
RESULTS_ROOT_DIR = '__results__'
TB_DIR = '__runs__'
WEIGHTS_DIR = '__weights__'
NOISE_ROOT_DIR = "__noise__"
| 23.285714 | 32 | 0.779141 | 21 | 163 | 4.47619 | 0.428571 | 0.223404 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.110429 | 163 | 6 | 33 | 27.166667 | 0.648276 | 0 | 0 | 0 | 0 | 0 | 0.349693 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
ef9c6d8cdfc486f467a855476126907fbf14a657 | 641 | py | Python | scripts/py-scripts/except-class.py | loafdog/loaf-src | 3450b059a0a8d13c6709d63867888c113cd4a063 | [
"Apache-2.0"
] | null | null | null | scripts/py-scripts/except-class.py | loafdog/loaf-src | 3450b059a0a8d13c6709d63867888c113cd4a063 | [
"Apache-2.0"
] | null | null | null | scripts/py-scripts/except-class.py | loafdog/loaf-src | 3450b059a0a8d13c6709d63867888c113cd4a063 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
class B:
pass
class C(B):
pass
class D(C):
pass
for c in [B, C, D]:
try:
raise c()
except D:
print "D"
except C:
print "C"
except B:
print "B"
for c in [B, C, D]:
try:
raise c()
except B as b:
print "B ",str(b),str(B)
# every exception will be caught by B block.
for c in [B, C, D]:
try:
raise c()
except D:
print "D"
except C:
print "C"
# exception will be generated here because when you raise B() there is
# no except B line. You can't catch exceptions from base class using
# derived classes
| 16.868421 | 70 | 0.535101 | 106 | 641 | 3.235849 | 0.386792 | 0.081633 | 0.052478 | 0.061224 | 0.326531 | 0.326531 | 0.326531 | 0.326531 | 0.326531 | 0.326531 | 0 | 0 | 0.357254 | 641 | 37 | 71 | 17.324324 | 0.832524 | 0.332293 | 0 | 0.740741 | 0 | 0 | 0.016548 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.111111 | 0 | null | null | 0.222222 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
efaba035a7ed7385d108f37502d3e57cbb758b3f | 1,379 | py | Python | lib/search/problem.py | timofurrer/aoc-2020 | 446b688a57601d9891f520e43b7f822c373a6ff4 | [
"MIT"
] | null | null | null | lib/search/problem.py | timofurrer/aoc-2020 | 446b688a57601d9891f520e43b7f822c373a6ff4 | [
"MIT"
] | null | null | null | lib/search/problem.py | timofurrer/aoc-2020 | 446b688a57601d9891f520e43b7f822c373a6ff4 | [
"MIT"
] | null | null | null | """
This module provies common implementation
of Search problems. These problem implementation
can be used with the search optimization
algorithms in ``lib.search``.
"""
from lib.search.graph import Location, Graph
class StartEndGraphProblem:
"""The implementation of a problem to find "a" path from a start to end."""
def __init__(self, graph: Graph, start: Location, goal: Location):
self.graph = graph
self.start = start
self.goal = goal
def goal_test(self, state):
"""Return True if the state is a goal. The default method compares the
state to self.goal or checks for state in self.goal if it is a
list, as specified in the constructor. Override this method if
checking against a single self.goal is not enough."""
return state == self.goal
def actions(self, loc: Location):
"""The actions at a graph node are just its neighbors."""
return self.graph.children(loc)
def path_cost(self, cost_so_far, from_loc: Location, to_loc: Location):
return cost_so_far + (self.graph.cost(from_loc, to_loc) or float("inf"))
class StartEndPathProblem:
def __init__(self, start: Location, goal: Location, actions):
self.start = start
self.goal = goal
self.actions = actions
def goal_test(self, current):
return self.goal == current | 33.634146 | 80 | 0.678028 | 194 | 1,379 | 4.721649 | 0.381443 | 0.061135 | 0.024017 | 0.054585 | 0.056769 | 0.056769 | 0 | 0 | 0 | 0 | 0 | 0 | 0.235678 | 1,379 | 41 | 81 | 33.634146 | 0.86907 | 0.383611 | 0 | 0.210526 | 0 | 0 | 0.003731 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.315789 | false | 0 | 0.052632 | 0.105263 | 0.684211 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
efcc0f31a49648f802bdca7df3b2d5090b62b1bf | 445 | py | Python | Solutions/Python/annee_bissextile.py | N07070/Projects | 6fb6ff76696ba1db56e7449fa8913de1c1b32d06 | [
"MIT"
] | null | null | null | Solutions/Python/annee_bissextile.py | N07070/Projects | 6fb6ff76696ba1db56e7449fa8913de1c1b32d06 | [
"MIT"
] | null | null | null | Solutions/Python/annee_bissextile.py | N07070/Projects | 6fb6ff76696ba1db56e7449fa8913de1c1b32d06 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Public Domain 2014 - Created by N07070
annee_user = input('Please enter a year in the YYYY format >> ')
print 'Thanks, and your year is...'
annee_user = int(annee_user)
if annee_user % 4 == 0:
if annee_user % 100 == 0:
print 'Well, nothing special...'
else:
print 'Bissextile !'
elif annee_user % 400 == 0:
print 'Bissextile !'
else:
print 'Well, nothing special...'
| 24.722222 | 64 | 0.624719 | 63 | 445 | 4.31746 | 0.634921 | 0.198529 | 0.080882 | 0.169118 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.05848 | 0.231461 | 445 | 17 | 65 | 26.176471 | 0.736842 | 0.173034 | 0 | 0.5 | 0 | 0 | 0.386301 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0.416667 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 |
efcecd34b78b5b67c47958ba2d1d9b0b981ab273 | 254 | py | Python | python/testData/inspections/PyUnresolvedReferencesInspection/docstring.py | truthiswill/intellij-community | fff88cfb0dc168eea18ecb745d3e5b93f57b0b95 | [
"Apache-2.0"
] | 2 | 2019-04-28T07:48:50.000Z | 2020-12-11T14:18:08.000Z | python/testData/inspections/PyUnresolvedReferencesInspection/docstring.py | truthiswill/intellij-community | fff88cfb0dc168eea18ecb745d3e5b93f57b0b95 | [
"Apache-2.0"
] | 173 | 2018-07-05T13:59:39.000Z | 2018-08-09T01:12:03.000Z | python/testData/inspections/PyUnresolvedReferencesInspection/docstring.py | truthiswill/intellij-community | fff88cfb0dc168eea18ecb745d3e5b93f57b0b95 | [
"Apache-2.0"
] | 2 | 2020-03-15T08:57:37.000Z | 2020-04-07T04:48:14.000Z | class Test(object):
"""
@cvar some: some variable
@type some: C{str}
"""
some = 'hello'
def __init__(self):
self.some1 = 10
def q(self, another):
"""
@param another: another variable
@type another: C{str}
"""
pass | 14.941176 | 36 | 0.562992 | 32 | 254 | 4.34375 | 0.59375 | 0.172662 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016484 | 0.283465 | 254 | 17 | 37 | 14.941176 | 0.747253 | 0.389764 | 0 | 0 | 0 | 0 | 0.04065 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0.166667 | 0 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 |
efe4a8354b97cdb87d09e9762158f4aaf4a5787b | 625 | py | Python | Codewars/Test/Compare_power_test.py | maxcohen31/A-bored-math-student | 007beb4dabf7b4406f48e9a3a967c29d032eab89 | [
"MIT"
] | null | null | null | Codewars/Test/Compare_power_test.py | maxcohen31/A-bored-math-student | 007beb4dabf7b4406f48e9a3a967c29d032eab89 | [
"MIT"
] | null | null | null | Codewars/Test/Compare_power_test.py | maxcohen31/A-bored-math-student | 007beb4dabf7b4406f48e9a3a967c29d032eab89 | [
"MIT"
] | null | null | null | import unittest
from random import randint
from Compare_powers_6_kyu import compare_powers
class Powers(unittest.TestCase):
def test_1(self):
a = [2, 5]
b = [3, 9]
result = 1
self.assertEqual(compare_powers(a, b), result)
def test_2(self):
a = [33, 99]
b = [22, 99]
result = -1
self.assertEqual(compare_powers(a, b), result)
def test_3(self):
a = [2, 5]
b = [2, 5]
result = 0
self.assertEqual(compare_powers(a, b), result)
if __name__ == "__main__":
unittest.main()
| 24.038462 | 60 | 0.5296 | 80 | 625 | 3.9125 | 0.375 | 0.207668 | 0.210863 | 0.268371 | 0.485623 | 0.434505 | 0.434505 | 0.319489 | 0.319489 | 0.319489 | 0 | 0.057357 | 0.3584 | 625 | 26 | 61 | 24.038462 | 0.723192 | 0 | 0 | 0.238095 | 0 | 0 | 0.01278 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 1 | 0.142857 | false | 0 | 0.142857 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
efec84ec14aa021eb5ed33bf4069ac71586f2a87 | 478 | py | Python | base/__init__.py | sapanz/Odoo-Server-Tool | b98c048a9b980772286af87b3ff96efd094883e2 | [
"MIT"
] | 6 | 2018-12-04T11:03:18.000Z | 2018-12-14T08:10:04.000Z | base/__init__.py | MohitGhodasara/OdooServerTool-Source | 28ec79b435fa3789ca523c40ae08753123a40ebd | [
"MIT"
] | 3 | 2018-12-04T07:08:47.000Z | 2018-12-04T07:16:19.000Z | base/__init__.py | MohitGhodasara/OdooServerTool-Source | 28ec79b435fa3789ca523c40ae08753123a40ebd | [
"MIT"
] | 5 | 2019-08-12T04:32:34.000Z | 2020-06-01T15:06:08.000Z | import sys
from . import baseutils
from . import config_manager
from . import version_manager
from . import psql_database
from . import slash_x
if sys.version_info[0] >= 3:
import tkinter as tk
import tkinter.ttk as ttk
from tkinter import font
from tkinter import messagebox
from tkinter import filedialog
else:
import Tkinter as tk
import tkFont as font
import tkMessageBox as messagebox
import tkFileDialog as filedialog
import ttk
| 21.727273 | 37 | 0.746862 | 67 | 478 | 5.253731 | 0.38806 | 0.142045 | 0.144886 | 0.096591 | 0.130682 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005405 | 0.225941 | 478 | 21 | 38 | 22.761905 | 0.945946 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.888889 | 0 | 0.888889 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
4bc71640256c03f46abaadff183f3b0124ec1d6c | 1,308 | py | Python | tests/test_flask_getenvvalue.py | yukkeorg/Flask_GetEnvValue | bf406a8161fced5bb18bbaaa8eff64dfd407baa1 | [
"MIT"
] | null | null | null | tests/test_flask_getenvvalue.py | yukkeorg/Flask_GetEnvValue | bf406a8161fced5bb18bbaaa8eff64dfd407baa1 | [
"MIT"
] | null | null | null | tests/test_flask_getenvvalue.py | yukkeorg/Flask_GetEnvValue | bf406a8161fced5bb18bbaaa8eff64dfd407baa1 | [
"MIT"
] | null | null | null | import os
from flask import Flask
from flask_getenvvalue import GetEnvValue
def test_getenvvalue_default():
app = Flask(__name__)
app.config["FLASK_GETENVVALUE_TEST"] = "123456"
os.environ["FLASK_GETENVVALUE_TEST"] = "ABCDEF"
GetEnvValue(app, envnames=["FLASK_GETENVVALUE_TEST",
"FLASK_GETENVVALUE_UNDEFINED"])
assert app.config["FLASK_GETENVVALUE_TEST"] == "ABCDEF"
assert "FLASK_GETENVVALUE_UNDEFINED" not in app.config
def test_getenvvalue_disable_ignore_undefined():
app = Flask(__name__)
app.config["FLASK_GETENVVALUE_TEST"] = "123456"
os.environ["FLASK_GETENVVALUE_TEST"] = "ABCDEF"
GetEnvValue(app,
envnames=["FLASK_GETENVVALUE_TEST",
"FLASK_GETENVVALUE_UNDEFINED"],
ignore_undefined=False)
assert app.config["FLASK_GETENVVALUE_TEST"] == "ABCDEF"
assert app.config["FLASK_GETENVVALUE_UNDEFINED"] is None
def test_getenvvalue_enable_protect_exists():
app = Flask(__name__)
app.config["FLASK_GETENVVALUE_TEST"] = "123456"
os.environ["FLASK_GETENVVALUE_TEST"] = "ABCDEF"
GetEnvValue(app,
envnames=["FLASK_GETENVVALUE_TEST"],
protect_exists=True)
assert app.config["FLASK_GETENVVALUE_TEST"] == "123456"
| 30.418605 | 62 | 0.68578 | 139 | 1,308 | 6.043165 | 0.201439 | 0.32381 | 0.285714 | 0.208333 | 0.692857 | 0.663095 | 0.614286 | 0.614286 | 0.502381 | 0.502381 | 0 | 0.023256 | 0.211009 | 1,308 | 42 | 63 | 31.142857 | 0.790698 | 0 | 0 | 0.448276 | 0 | 0 | 0.325688 | 0.284404 | 0 | 0 | 0 | 0 | 0.172414 | 1 | 0.103448 | false | 0 | 0.103448 | 0 | 0.206897 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
4bd12f596e5235663cc1ca9a5d9c95c8aac23cee | 457 | py | Python | tests/test_sorting_and_searching/test_counting_sort.py | ueg1990/aids | bb543c6f53983d59edbc6a522ca10d64efd9c42e | [
"MIT"
] | null | null | null | tests/test_sorting_and_searching/test_counting_sort.py | ueg1990/aids | bb543c6f53983d59edbc6a522ca10d64efd9c42e | [
"MIT"
] | null | null | null | tests/test_sorting_and_searching/test_counting_sort.py | ueg1990/aids | bb543c6f53983d59edbc6a522ca10d64efd9c42e | [
"MIT"
] | null | null | null | import unittest
from aids.sorting_and_searching.counting_sort import counting_sort
class CountingSortTestCase(unittest.TestCase):
'''
Unit tests for counting sort
'''
def setUp(self):
self.example = [4,3,2,1,4,3,2,4,3,4]
def test_selection_sort(self):
self.assertEqual(counting_sort(self.example), [1, 2, 2, 3, 3, 3, 4, 4, 4, 4])
def tearDown(self):
pass
if __name__ == '__main__':
unittest.main()
| 20.772727 | 85 | 0.649891 | 66 | 457 | 4.272727 | 0.469697 | 0.170213 | 0.021277 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.056022 | 0.218818 | 457 | 21 | 86 | 21.761905 | 0.733894 | 0.061269 | 0 | 0 | 0 | 0 | 0.019417 | 0 | 0 | 0 | 0 | 0 | 0.090909 | 1 | 0.272727 | false | 0.090909 | 0.181818 | 0 | 0.545455 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 |
4bd76434e611efc172ed76586fcb86ef0fcf0392 | 134 | py | Python | sparrow_cloud/apps/schema_command/schemas/incompatible_settings.py | LaEmma/sparrow_cloud | fb9f76ea70b3ba5782c33f3b3379e2ffe4bab08c | [
"MIT"
] | 15 | 2019-09-24T09:32:32.000Z | 2021-12-30T08:07:41.000Z | sparrow_cloud/apps/schema_command/schemas/incompatible_settings.py | LaEmma/sparrow_cloud | fb9f76ea70b3ba5782c33f3b3379e2ffe4bab08c | [
"MIT"
] | 13 | 2019-09-06T03:20:02.000Z | 2021-09-27T03:37:25.000Z | sparrow_cloud/apps/schema_command/schemas/incompatible_settings.py | LaEmma/sparrow_cloud | fb9f76ea70b3ba5782c33f3b3379e2ffe4bab08c | [
"MIT"
] | 17 | 2019-09-02T06:31:05.000Z | 2021-10-08T04:23:23.000Z | """
drf 不兼容的配置项
"""
SCHEMA_COERCE_METHOD_NAMES = {
'retrieve': 'read',
'destroy': 'delete'
}
SCHEMA_COERCE_PATH_PK = True
| 14.888889 | 30 | 0.641791 | 15 | 134 | 5.333333 | 0.866667 | 0.3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.201493 | 134 | 8 | 31 | 16.75 | 0.747664 | 0.08209 | 0 | 0 | 0 | 0 | 0.225225 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
4bf21d8661464e6f6fdc91b434922d3b768df022 | 391 | py | Python | Easy/268. Missing Number/solution (3).py | czs108/LeetCode-Solutions | 889f5b6a573769ad077a6283c058ed925d52c9ec | [
"MIT"
] | 3 | 2020-05-09T12:55:09.000Z | 2022-03-11T18:56:05.000Z | Easy/268. Missing Number/solution (3).py | czs108/LeetCode-Solutions | 889f5b6a573769ad077a6283c058ed925d52c9ec | [
"MIT"
] | null | null | null | Easy/268. Missing Number/solution (3).py | czs108/LeetCode-Solutions | 889f5b6a573769ad077a6283c058ed925d52c9ec | [
"MIT"
] | 1 | 2022-03-11T18:56:16.000Z | 2022-03-11T18:56:16.000Z | # 268. Missing Number
# Runtime: 132 ms, faster than 76.58% of Python3 online submissions for Missing Number.
# Memory Usage: 15.5 MB, less than 51.40% of Python3 online submissions for Missing Number.
class Solution:
# Gauss' Formula
def missingNumber(self, nums: list[int]) -> int:
expected_sum = len(nums) * (len(nums) + 1) // 2
return expected_sum - sum(nums) | 32.583333 | 91 | 0.680307 | 57 | 391 | 4.631579 | 0.684211 | 0.147727 | 0.113636 | 0.19697 | 0.318182 | 0.318182 | 0.318182 | 0 | 0 | 0 | 0 | 0.068404 | 0.214834 | 391 | 12 | 92 | 32.583333 | 0.791531 | 0.537084 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0 | 0 | 0.75 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
4bfb62cc857ebf933adb86e61a487ec537f9eb11 | 213 | py | Python | pysyft_proto/proto.py | IonesioJunior/proto | 699cef5de30c4bc84c1b3394e5c5d0465132d5b8 | [
"Apache-2.0"
] | null | null | null | pysyft_proto/proto.py | IonesioJunior/proto | 699cef5de30c4bc84c1b3394e5c5d0465132d5b8 | [
"Apache-2.0"
] | null | null | null | pysyft_proto/proto.py | IonesioJunior/proto | 699cef5de30c4bc84c1b3394e5c5d0465132d5b8 | [
"Apache-2.0"
] | null | null | null | from pkg_resources import resource_string
import json
proto_info = None
try:
proto_json = resource_string(__name__, 'proto.json')
proto_info = json.loads(proto_json)
except Exception:
pass
| 19.363636 | 57 | 0.7277 | 28 | 213 | 5.142857 | 0.571429 | 0.1875 | 0.180556 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.206573 | 213 | 10 | 58 | 21.3 | 0.852071 | 0 | 0 | 0 | 0 | 0 | 0.049261 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.125 | 0.25 | 0 | 0.25 | 0 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
ef2f2bec941a91a819b1acafd9b73a6d02d15c62 | 64 | py | Python | test25.py | JarkJiao/Python_learning_TestCase | cc77a7a20b01e230e0edd818532570a7d8853b03 | [
"MIT"
] | null | null | null | test25.py | JarkJiao/Python_learning_TestCase | cc77a7a20b01e230e0edd818532570a7d8853b03 | [
"MIT"
] | null | null | null | test25.py | JarkJiao/Python_learning_TestCase | cc77a7a20b01e230e0edd818532570a7d8853b03 | [
"MIT"
] | null | null | null |
s=0
t=1
for n in range(1,21):
t *= n
s += t
print s
| 5.818182 | 21 | 0.4375 | 16 | 64 | 1.75 | 0.625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.131579 | 0.40625 | 64 | 10 | 22 | 6.4 | 0.605263 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0.166667 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
ef3a3f872dc9a62ee6ede709f7fb68990399415a | 259 | py | Python | src/ribo_api/serializers/event.py | RinPham/RiBo-Core | 8c5a00a215b42aad2f6a4167b9cb97fe11d78823 | [
"MIT"
] | null | null | null | src/ribo_api/serializers/event.py | RinPham/RiBo-Core | 8c5a00a215b42aad2f6a4167b9cb97fe11d78823 | [
"MIT"
] | null | null | null | src/ribo_api/serializers/event.py | RinPham/RiBo-Core | 8c5a00a215b42aad2f6a4167b9cb97fe11d78823 | [
"MIT"
] | null | null | null | from rest_framework_mongoengine.serializers import DocumentSerializer
from ribo_api.models.events import Event
from ribo_api.models.task import Task
class EventSerializer(DocumentSerializer):
class Meta:
model = Event
fields = '__all__' | 25.9 | 69 | 0.779923 | 30 | 259 | 6.466667 | 0.633333 | 0.082474 | 0.113402 | 0.175258 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.169884 | 259 | 10 | 70 | 25.9 | 0.902326 | 0 | 0 | 0 | 0 | 0 | 0.026923 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.428571 | 0 | 0.714286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
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