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int64
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int64
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string
max_forks_repo_forks_event_max_datetime
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string
avg_line_length
float64
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int64
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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
bf99ea429931bf400f6df16dd43bb5ff519cff71
1,650
py
Python
vyper/errors.py
ykgk518/vyper
5670b019858a319fed390e4a46a9c208c30ff9c7
[ "MIT" ]
null
null
null
vyper/errors.py
ykgk518/vyper
5670b019858a319fed390e4a46a9c208c30ff9c7
[ "MIT" ]
null
null
null
vyper/errors.py
ykgk518/vyper
5670b019858a319fed390e4a46a9c208c30ff9c7
[ "MIT" ]
null
null
null
class ConfigFileNotFoundError(Exception): """Denotes failing to find configuration file.""" def __init__(self, message, locations, *args): self.message = message self.locations = ", ".join(str(l) for l in locations) super(ConfigFileNotFoundError, self).__init__(message, locations, *args) def __str__(self): return "Config File {0} Not Found in {1}".format( self.message, self.locations) class RemoteConfigError(Exception): """Denotes encountering an error while trying to pull the configuration from the remote provider. """ def __init__(self, message, *args): self.message = message super(RemoteConfigError, self).__init__(message, *args) def __str__(self): return "Remote Configuration Error {0}".format(self.message) class UnsupportedConfigError(Exception): """Denotes encountering an unsupported configuration file type.""" def __init__(self, message, *args): self.message = message super(UnsupportedConfigError, self).__init__(message, *args) def __str__(self): return "Unsupported Config Type {0}".format(self.message) class UnsupportedRemoteProviderError(Exception): """Denotes encountering an unsupported remote provider. Currently only etcd, consul and zookeeper are supported. """ def __init__(self, message, *args): self.message = message super(UnsupportedRemoteProviderError, self).__init__(message, *args) def __str__(self): return "Unsupported Remote Provider Type {0}".format(self.message)
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bfb1c3e5e233e08c88340377099097d0f5ecd8fa
91
py
Python
Chapter02/Activity2.01/juggler/projectm/apps.py
PacktPublishing/Web-Development-Projects-with-Django
531bc4d58d614888cc81b7fd6f8ec859f5a65217
[ "MIT" ]
97
2021-03-01T12:54:30.000Z
2022-03-28T02:57:26.000Z
Chapter02/Activity2.01/juggler/projectm/apps.py
PacktPublishing/Web-Development-Projects-with-Django
531bc4d58d614888cc81b7fd6f8ec859f5a65217
[ "MIT" ]
81
2020-08-27T04:56:04.000Z
2022-03-12T00:53:40.000Z
Chapter02/Activity2.01/juggler/projectm/apps.py
PacktPublishing/Web-Development-Projects-with-Django
531bc4d58d614888cc81b7fd6f8ec859f5a65217
[ "MIT" ]
163
2020-12-25T14:38:38.000Z
2022-03-30T10:31:40.000Z
from django.apps import AppConfig class ProjectmConfig(AppConfig): name = 'projectm'
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py
Python
library/python/pytest/context.py
jochenater/catboost
de2786fbc633b0d6ea6a23b3862496c6151b95c2
[ "Apache-2.0" ]
6,989
2017-07-18T06:23:18.000Z
2022-03-31T15:58:36.000Z
library/python/pytest/context.py
birichie/catboost
de75c6af12cf490700e76c22072fbdc15b35d679
[ "Apache-2.0" ]
1,978
2017-07-18T09:17:58.000Z
2022-03-31T14:28:43.000Z
library/python/pytest/context.py
birichie/catboost
de75c6af12cf490700e76c22072fbdc15b35d679
[ "Apache-2.0" ]
1,228
2017-07-18T09:03:13.000Z
2022-03-29T05:57:40.000Z
Ctx = {}
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py
Python
classic_tetris_project/test_helper/factories/pages.py
Madv0x/classic-tetris-project
cfd8c39376ad42e6ec57055d88d79916b3debe10
[ "MIT" ]
17
2019-11-23T12:56:06.000Z
2022-02-05T21:48:00.000Z
classic_tetris_project/test_helper/factories/pages.py
Madv0x/classic-tetris-project
cfd8c39376ad42e6ec57055d88d79916b3debe10
[ "MIT" ]
43
2019-10-03T20:16:11.000Z
2022-03-12T00:24:52.000Z
classic_tetris_project/test_helper/factories/pages.py
Madv0x/classic-tetris-project
cfd8c39376ad42e6ec57055d88d79916b3debe10
[ "MIT" ]
17
2020-02-09T01:55:01.000Z
2021-11-12T21:16:50.000Z
import factory from classic_tetris_project.models import * class PageFactory(factory.django.DjangoModelFactory): class Meta: model = Page
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44ab45c372fd14dc160850942559a820c29eca6b
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py
Python
encuestas/views.py
codo-a-codo-python-2018-team2/tpo2-backend
859f088cdb08b9155e4b9a6aa82e589fc946f00f
[ "MIT" ]
4
2021-07-05T22:36:21.000Z
2021-07-28T17:26:06.000Z
encuestas/views.py
codo-a-codo-python-2018-team2/tpo2-backend
859f088cdb08b9155e4b9a6aa82e589fc946f00f
[ "MIT" ]
15
2021-07-14T20:05:11.000Z
2021-07-18T00:40:54.000Z
encuestas/views.py
codo-a-codo-python-2018-team2/tpo2-backend
859f088cdb08b9155e4b9a6aa82e589fc946f00f
[ "MIT" ]
4
2021-07-12T20:04:54.000Z
2021-07-15T02:01:51.000Z
from django.http import HttpResponse from django.shortcuts import render # Create your views here. def home(request): return render(request, "base.html") def update(data): pass def create(data): pass def delete(data): pass def read(data): return HttpResponse("READ Hello world from Django for Codo a Codo 4.0:") def gretting(request): print(dict(request.GET)) HttpResponse("Hello world from Django for Codo a Codo 4.0:") if request.method == "GET": my_response = read(request) elif request.method == "UPDATE": my_response = update(request) elif request.method == "QUE VA?": my_response = delete(request) else: # Que method es? my_response = create(request) return my_response def natalia(request): return HttpResponse("Respuesta creada por Natalia") def sofia(request): return HttpResponse("Esta es la respuesta de Sofía Ferro") def jose(request): return HttpResponse("Esta es la respuesta creada por Jose Guevara") def reinid(request): return HttpResponse("Esta es la respuesta creada por Reinid Valarino")
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44aeb2a98d1c0f03eda867ff88cfe7687d9983ef
592
py
Python
mriqc/interfaces/__init__.py
cbinyu/mriqc
471d7bb8a6f1611bec813fd62175ea74494552af
[ "BSD-3-Clause" ]
null
null
null
mriqc/interfaces/__init__.py
cbinyu/mriqc
471d7bb8a6f1611bec813fd62175ea74494552af
[ "BSD-3-Clause" ]
null
null
null
mriqc/interfaces/__init__.py
cbinyu/mriqc
471d7bb8a6f1611bec813fd62175ea74494552af
[ "BSD-3-Clause" ]
null
null
null
#!/usr/bin/env python # -*- coding: utf-8 -*- # emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*- # vi: set ft=python sts=4 ts=4 sw=4 et: """ mriqc nipype interfaces """ from __future__ import print_function, division, absolute_import, unicode_literals from .anatomical import \ StructuralQC, ArtifactMask, ComputeQI2, Harmonize, RotationMask from .functional import FunctionalQC, Spikes from .bids import ReadSidecarJSON, IQMFileSink from .viz import PlotMosaic, PlotContours, PlotSpikes from .common import ConformImage, EnsureSize from .webapi import UploadIQMs
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44b6b67076a2918fc3088334181af40564a9a915
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py
Python
illumio/rules/ruleset.py
dsommerville-illumio/illumio-py
30e9ee4237b142a62579839ed8a21f2eb35c8b09
[ "Apache-2.0" ]
1
2022-01-18T04:55:16.000Z
2022-01-18T04:55:16.000Z
illumio/rules/ruleset.py
dsommerville-illumio/illumio-py
30e9ee4237b142a62579839ed8a21f2eb35c8b09
[ "Apache-2.0" ]
null
null
null
illumio/rules/ruleset.py
dsommerville-illumio/illumio-py
30e9ee4237b142a62579839ed8a21f2eb35c8b09
[ "Apache-2.0" ]
null
null
null
# -*- coding: utf-8 -*- """This module provides classes related to policy rule sets. Copyright: (c) 2022 Illumio License: Apache2, see LICENSE for more details. """ from dataclasses import dataclass from typing import List from illumio.util import MutableObject, pce_api from illumio.policyobjects import LabelSet from .rule import Rule from .iptablesrule import IPTablesRule @dataclass @pce_api('rule_sets', is_sec_policy=True) class RuleSet(MutableObject): """Provides scope boundaries for security policy rules. Usage: >>> from illumio import PolicyComputeEngine, RuleSet, LabelSet >>> pce = PolicyComputeEngine('my.pce.com') >>> pce.set_credentials('api_key_username', 'api_key_secret') >>> app_label = pce.labels.create({'key': 'app', 'value': 'App'}) >>> env_label = pce.labels.create({'key': 'env', 'value': 'Production'}) >>> loc_label = pce.labels.create({'key': 'loc', 'value': 'AWS'}) >>> ruleset = RuleSet( ... name='RS-RINGFENCE', ... scopes=[ ... LabelSet( ... labels=[app_label, env_label, loc_label] ... ) ... ] ... ) >>> ruleset = pce.rule_sets.create(ruleset) >>> ruleset Ruleset( href='/orgs/1/sec_policy/draft/rule_sets/19', name='RS-RINGFENCE' ) """ enabled: bool = None scopes: List[LabelSet] = None rules: List[Rule] = None ip_tables_rules: List[IPTablesRule] = None
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7826564fe6180ebfa9648f8c7f71f35f8d3ce912
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py
Python
factory/cars/models.py
avara1986/graphql-django
57b9bcb479842e243488a59cb4db4f523c2877ce
[ "MIT" ]
null
null
null
factory/cars/models.py
avara1986/graphql-django
57b9bcb479842e243488a59cb4db4f523c2877ce
[ "MIT" ]
null
null
null
factory/cars/models.py
avara1986/graphql-django
57b9bcb479842e243488a59cb4db4f523c2877ce
[ "MIT" ]
null
null
null
from django.db import models class Car(models.Model): # name = models.CharField(max_length=100) model = models.ForeignKey( 'Model', on_delete=models.CASCADE, related_name='cars' ) color = models.CharField(max_length=100, null=True) def __str__(self): return "{} ({})".format(self.color, self.model) class Model(models.Model): name = models.CharField(max_length=100) brand = models.ForeignKey( 'Brand', on_delete=models.CASCADE, related_name='models' ) year = models.PositiveIntegerField(null=True) def __str__(self): return "{} [{}-{}]".format(self.name, self.brand, self.year) class Brand(models.Model): name = models.CharField(max_length=100) def __str__(self): return "{}".format(self.name,)
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3
785960861729eeb02ac0f6dc2bbedf5a680eaead
946
py
Python
src/chalky/shortcuts/bg.py
stephen-bunn/chalk
8bcaaab309cc4f4b5eee019bce08e2765d72cf02
[ "0BSD" ]
2
2020-12-24T16:38:55.000Z
2021-12-09T21:54:56.000Z
src/chalky/shortcuts/bg.py
stephen-bunn/chalk
8bcaaab309cc4f4b5eee019bce08e2765d72cf02
[ "0BSD" ]
null
null
null
src/chalky/shortcuts/bg.py
stephen-bunn/chalk
8bcaaab309cc4f4b5eee019bce08e2765d72cf02
[ "0BSD" ]
null
null
null
# -*- encoding: utf-8 -*- # Copyright (c) 2020 Stephen Bunn <stephen@bunn.io> # ISC License <https://choosealicense.com/licenses/isc> """Predefined background (bg) chalk colors.""" from ..chalk import Chalk from ..color import Color black = Chalk(background=Color.BLACK) red = Chalk(background=Color.RED) green = Chalk(background=Color.GREEN) yellow = Chalk(background=Color.YELLOW) blue = Chalk(background=Color.BLUE) magenta = Chalk(background=Color.MAGENTA) cyan = Chalk(background=Color.CYAN) white = Chalk(background=Color.WHITE) bright_black = Chalk(background=Color.BRIGHT_BLACK) bright_red = Chalk(background=Color.BRIGHT_RED) bright_green = Chalk(background=Color.BRIGHT_GREEN) bright_yellow = Chalk(background=Color.BRIGHT_YELLOW) bright_blue = Chalk(background=Color.BRIGHT_BLUE) bright_magenta = Chalk(background=Color.MAGENTA) bright_cyan = Chalk(background=Color.BRIGHT_CYAN) bright_white = Chalk(background=Color.BRIGHT_WHITE)
35.037037
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946
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3
7867540febaf01ebf0a1265c880d0e90cd7c9702
262
py
Python
manufacturers/__init__.py
pmaigutyak/mp-shop
14ea67f71fd91a282d2070414924708214fc6464
[ "0BSD" ]
2
2018-03-14T11:32:36.000Z
2021-09-25T14:31:36.000Z
manufacturers/__init__.py
pmaigutyak/mp-shop
14ea67f71fd91a282d2070414924708214fc6464
[ "0BSD" ]
null
null
null
manufacturers/__init__.py
pmaigutyak/mp-shop
14ea67f71fd91a282d2070414924708214fc6464
[ "0BSD" ]
null
null
null
from django.apps import AppConfig from django.utils.translation import ugettext_lazy as _ class ManufacturersAppConfig(AppConfig): name = 'manufacturers' verbose_name = _('Manufacturers') default_app_config = 'manufacturers.ManufacturersAppConfig'
20.153846
59
0.79771
26
262
7.807692
0.692308
0.098522
0
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262
12
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21.833333
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1
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3
78813325f60f46599577965ee7582342a5290dfa
688
py
Python
src/spinnaker_ros_lsm/venv/lib/python2.7/site-packages/pacman/model/abstract_classes/abstract_partitioned_partition_n_keys_map.py
Roboy/LSM_SpiNNaker_MyoArm
04fa1eaf78778edea3ba3afa4c527d20c491718e
[ "BSD-3-Clause" ]
2
2020-11-01T13:22:11.000Z
2020-11-01T13:22:20.000Z
src/spinnaker_ros_lsm/venv/lib/python2.7/site-packages/pacman/model/abstract_classes/abstract_partitioned_partition_n_keys_map.py
Roboy/LSM_SpiNNaker_MyoArm
04fa1eaf78778edea3ba3afa4c527d20c491718e
[ "BSD-3-Clause" ]
null
null
null
src/spinnaker_ros_lsm/venv/lib/python2.7/site-packages/pacman/model/abstract_classes/abstract_partitioned_partition_n_keys_map.py
Roboy/LSM_SpiNNaker_MyoArm
04fa1eaf78778edea3ba3afa4c527d20c491718e
[ "BSD-3-Clause" ]
null
null
null
from abc import ABCMeta from abc import abstractmethod from six import add_metaclass @add_metaclass(ABCMeta) class AbstractPartitionedPartitionNKeysMap(object): """ A map that provides the number of keys required by each partition """ @abstractmethod def n_keys_for_partition(self, partition): """ The number of keys required by the given partition :param partition: The partition to set the number of keys for :type partition:\ :py:class:`pacman.utilities.utility_objs.outgoing_edge_partition.OutgoingEdgePartition` :return: The number of keys required by the partition :rtype: int """ pass
31.272727
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0.093023
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0.171247
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21
108
32.761905
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0.125
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1
1
0
1
0
0
3
7899c2c86824b17dd02e734e6662974d4d0848d2
540
py
Python
AutoDiff/scalarCalculation/operators/square.py
Phutoast/SimpleAutoDiff
7fc930266b33887bc9a94130a95746e2e253df92
[ "MIT" ]
null
null
null
AutoDiff/scalarCalculation/operators/square.py
Phutoast/SimpleAutoDiff
7fc930266b33887bc9a94130a95746e2e253df92
[ "MIT" ]
null
null
null
AutoDiff/scalarCalculation/operators/square.py
Phutoast/SimpleAutoDiff
7fc930266b33887bc9a94130a95746e2e253df92
[ "MIT" ]
null
null
null
from .scalarOperator import ScalarOperator class Square(ScalarOperator): def __init__(self, operation1, name="Square"): self.operation1 = operation1 self.name = name def forward(self): return self.operation1.forward() * self.operation1.forward() def backward(self, grad): self.operation1.backward(grad * 2 * self.operation1.forward()) def draw_graph(self, graph): graph.node(self.name) self.operation1.draw_graph(graph) graph.edge(self.operation1.name, self.name)
30
70
0.677778
62
540
5.806452
0.306452
0.311111
0.175
0.133333
0
0
0
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0.023419
0.209259
540
17
71
31.764706
0.819672
0
0
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0
0.011111
0
0
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0
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1
0.307692
false
0
0.076923
0.076923
0.538462
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null
1
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null
0
0
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0
0
1
0
0
0
0
1
0
0
3
78a17ba088300d56363f764f87002d32f907b253
2,959
py
Python
atest/testdata/keywords/type_conversion/AnnotationsWithTyping.py
rdagum/robotframework
b7069d505374e9f09a140ed5a9727d2a40716446
[ "ECL-2.0", "Apache-2.0" ]
7,073
2015-01-01T17:19:16.000Z
2022-03-31T22:01:29.000Z
atest/testdata/keywords/type_conversion/AnnotationsWithTyping.py
imust6226/robotframework
08c56fef2ebc64d682c7f99acd77c480d8d0e028
[ "ECL-2.0", "Apache-2.0" ]
2,412
2015-01-02T09:29:05.000Z
2022-03-31T13:10:46.000Z
atest/testdata/keywords/type_conversion/AnnotationsWithTyping.py
rticau/robotframework
33ee46dfacd5173c0a38d89c1a60abf6a747c8c0
[ "ECL-2.0", "Apache-2.0" ]
2,298
2015-01-03T02:47:15.000Z
2022-03-31T02:00:16.000Z
from typing import (List, Sequence, MutableSequence, Dict, Mapping, MutableMapping, Set, MutableSet) try: from typing import TypedDict except ImportError: from typing_extensions import TypedDict from robot.api.deco import not_keyword TypedDict = not_keyword(TypedDict) class BadIntMeta(type(int)): def __instancecheck__(self, instance): raise TypeError('Bang!') class BadInt(int, metaclass=BadIntMeta): pass def list_(argument: List, expected=None): _validate_type(argument, expected) def list_with_params(argument: List[int], expected=None): _validate_type(argument, expected) def sequence(argument: Sequence, expected=None): _validate_type(argument, expected) def sequence_with_params(argument: Sequence[bool], expected=None): _validate_type(argument, expected) def mutable_sequence(argument: MutableSequence, expected=None): _validate_type(argument, expected) def mutable_sequence_with_params(argument: MutableSequence[bool], expected=None): _validate_type(argument, expected) def dict_(argument: Dict, expected=None): _validate_type(argument, expected) def dict_with_params(argument: Dict[str, int], expected=None): _validate_type(argument, expected) def typeddict(argument: TypedDict('X', x=int), expected=None): _validate_type(argument, expected) def mapping(argument: Mapping, expected=None): _validate_type(argument, expected) def mapping_with_params(argument: Mapping[bool, int], expected=None): _validate_type(argument, expected) def mutable_mapping(argument: MutableMapping, expected=None): _validate_type(argument, expected) def mutable_mapping_with_params(argument: MutableMapping[bool, int], expected=None): _validate_type(argument, expected) def set_(argument: Set, expected=None): _validate_type(argument, expected) def set_with_params(argument: Set[bool], expected=None): _validate_type(argument, expected) def mutable_set(argument: MutableSet, expected=None): _validate_type(argument, expected) def mutable_set_with_params(argument: MutableSet[bool], expected=None): _validate_type(argument, expected) def none_as_default(argument: List = None, expected=None): _validate_type(argument, expected) def forward_reference(argument: 'List', expected=None): _validate_type(argument, expected) def forward_ref_with_params(argument: 'List[int]', expected=None): _validate_type(argument, expected) def not_liking_isinstance(argument: BadInt, expected=None): _validate_type(argument, expected) def _validate_type(argument, expected): if isinstance(expected, str): expected = eval(expected) if argument != expected or type(argument) != type(expected): raise AssertionError('%r (%s) != %r (%s)' % (argument, type(argument).__name__, expected, type(expected).__name__))
25.730435
84
0.73437
341
2,959
6.102639
0.173021
0.138395
0.211437
0.296012
0.552138
0.552138
0.552138
0.531475
0.310908
0.065353
0
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0.163569
2,959
114
85
25.95614
0.840808
0
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0.333333
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0.012504
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0.015873
1
0.365079
false
0.015873
0.079365
0
0.47619
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null
0
1
1
0
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0
1
0
0
0
0
0
0
0
3
78a490b28a266580ae2c75229f26507300a4da54
268
py
Python
multicloud_storage/http.py
onXmaps/multicloud-storage
185828404dd18473a1cc8404766641cdebc63f76
[ "Apache-2.0" ]
null
null
null
multicloud_storage/http.py
onXmaps/multicloud-storage
185828404dd18473a1cc8404766641cdebc63f76
[ "Apache-2.0" ]
null
null
null
multicloud_storage/http.py
onXmaps/multicloud-storage
185828404dd18473a1cc8404766641cdebc63f76
[ "Apache-2.0" ]
null
null
null
from enum import Enum try: from typing import Literal except ImportError: from typing_extensions import Literal class HttpMethod(Enum): """HttpMethod is an enum class for HTTP Methods.""" GET: Literal["GET"] = "GET" PUT: Literal["PUT"] = "PUT"
19.142857
55
0.682836
35
268
5.2
0.514286
0.10989
0
0
0
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0
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0.212687
268
13
56
20.615385
0.862559
0.16791
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true
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1
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1
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0
3
78bfb00f6a5f20cfee23e5cb918db059b79c18dd
368
py
Python
tasks/cyclic-one-time-pad/flask/app/forms.py
HackerDom/qctf-starter-2018
f4eef0fd41d777661b9fbcc61dcee9709d9f6268
[ "MIT" ]
8
2018-03-15T12:07:11.000Z
2020-12-01T15:02:46.000Z
tasks/cyclic-one-time-pad/flask/app/forms.py
HackerDom/qctf-starter-2018
f4eef0fd41d777661b9fbcc61dcee9709d9f6268
[ "MIT" ]
17
2020-01-28T22:17:42.000Z
2022-03-11T23:18:09.000Z
tasks/cyclic-one-time-pad/flask/app/forms.py
HackerDom/qctf-starter-2018
f4eef0fd41d777661b9fbcc61dcee9709d9f6268
[ "MIT" ]
2
2018-11-26T18:54:27.000Z
2018-12-05T17:37:32.000Z
from flask_wtf import FlaskForm from wtforms import TextField, TextAreaField, RadioField from wtforms.validators import Required, Length class EncryptForm(FlaskForm): data_format = RadioField('data_format', choices=[('plain','Plain'), ('base64', 'Base64')], validators = [Required()]) data = TextAreaField('data', validators = [Required(), Length(max=1000)])
46
121
0.744565
40
368
6.775
0.525
0.081181
0
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0.02454
0.11413
368
7
122
52.571429
0.806748
0
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0.100543
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false
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1
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1
0
0
3
152772444df7d24a3e49977aa55102ebb43fa659
73
py
Python
pytorch/pcdet/ops/voxels/__init__.py
chasingw/pointpillars_pytorch_trt
941075a23d86991393ea71ddbeb916ca80b73400
[ "Apache-2.0" ]
45
2021-04-30T04:52:39.000Z
2022-03-30T07:09:59.000Z
pytorch/pcdet/ops/voxels/__init__.py
chasingw/pointpillars_pytorch_trt
941075a23d86991393ea71ddbeb916ca80b73400
[ "Apache-2.0" ]
17
2021-05-27T10:15:32.000Z
2022-01-15T08:45:53.000Z
pytorch/pcdet/ops/voxels/__init__.py
chasingw/pointpillars_pytorch_trt
941075a23d86991393ea71ddbeb916ca80b73400
[ "Apache-2.0" ]
15
2021-05-24T05:43:17.000Z
2022-03-02T02:53:56.000Z
from .voxel_generator import VoxelGenerator __all__ = ['VoxelGenerator']
24.333333
43
0.821918
7
73
7.857143
0.857143
0
0
0
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0.09589
73
3
44
24.333333
0.833333
0
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0.189189
0
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false
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0
0
0
0
1
0
0
0
0
3
153cfea76b81f2fe18308a321470bb8ddfd5a798
91
py
Python
blackdog/apps.py
UncleGoogle/dafipost
5e19d6a69dde9b7e5267bbdba680906bdb5e56eb
[ "MIT" ]
null
null
null
blackdog/apps.py
UncleGoogle/dafipost
5e19d6a69dde9b7e5267bbdba680906bdb5e56eb
[ "MIT" ]
1
2021-02-08T01:44:32.000Z
2021-02-08T01:44:32.000Z
blackdog/apps.py
UncleGoogle/dafipost
5e19d6a69dde9b7e5267bbdba680906bdb5e56eb
[ "MIT" ]
null
null
null
from django.apps import AppConfig class BlackdogConfig(AppConfig): name = 'blackdog'
15.166667
33
0.758242
10
91
6.9
0.9
0
0
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0.164835
91
5
34
18.2
0.907895
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1
0
0
0
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3
153ea265d3c3baffa683088f71df173393facf8a
289
py
Python
Topics/Methods and attributes/Lightbulb/main.py
the-rennegade/jet-brains-coffee-machine
cd7c395d748e951b2fd9c724a8121d0f076a4633
[ "MIT" ]
null
null
null
Topics/Methods and attributes/Lightbulb/main.py
the-rennegade/jet-brains-coffee-machine
cd7c395d748e951b2fd9c724a8121d0f076a4633
[ "MIT" ]
null
null
null
Topics/Methods and attributes/Lightbulb/main.py
the-rennegade/jet-brains-coffee-machine
cd7c395d748e951b2fd9c724a8121d0f076a4633
[ "MIT" ]
null
null
null
class Lightbulb: def __init__(self): self.state = "off" def change_state(self): if self.state == "off": self.state = "on" print("Turning the light on") else: self.state = "off" print("Turning the light off")
24.083333
42
0.50519
33
289
4.272727
0.454545
0.255319
0.255319
0.283688
0
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0.377163
289
11
43
26.272727
0.783333
0
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false
0
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null
1
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0
0
0
0
3
15526d277b73fe9fa260e9ae08c1595eb57dfb8c
44,287
py
Python
global_buffer/design/global_buffer.py
StanfordAHA/garnet
103424e597af0af258fe6e7e6f966b9f8bb69fe9
[ "BSD-3-Clause" ]
56
2018-12-15T02:47:57.000Z
2022-03-25T23:50:40.000Z
global_buffer/design/global_buffer.py
StanfordAHA/garnet
103424e597af0af258fe6e7e6f966b9f8bb69fe9
[ "BSD-3-Clause" ]
525
2018-07-27T20:35:54.000Z
2022-03-28T23:52:20.000Z
global_buffer/design/global_buffer.py
StanfordAHA/garnet
103424e597af0af258fe6e7e6f966b9f8bb69fe9
[ "BSD-3-Clause" ]
11
2019-01-26T06:41:10.000Z
2021-03-28T08:02:26.000Z
from kratos import Generator, always_ff, posedge, always_comb, clock_en, clog2, const, concat from kratos.util import to_magma from global_buffer.design.glb_tile import GlbTile from global_buffer.design.glb_cfg_ifc import GlbConfigInterface from global_buffer.design.global_buffer_parameter import GlobalBufferParams from global_buffer.design.glb_header import GlbHeader from gemstone.generator.from_magma import FromMagma class GlobalBuffer(Generator): def __init__(self, _params: GlobalBufferParams): super().__init__("global_buffer") self._params = _params self.header = GlbHeader(self._params) self.clk = self.clock("clk") self.stall = self.input("stall", self._params.num_glb_tiles) self.reset = self.reset("reset") # TODO: Why cgra_stall has same width as num_glb_tiles self.cgra_stall_in = self.input( "cgra_stall_in", self._params.num_glb_tiles) self.cgra_stall = self.output( "cgra_stall", 1, size=[self._params.num_glb_tiles, self._params.cgra_per_glb], packed=True) self.proc_wr_en = self.input( "proc_wr_en", 1) self.proc_wr_strb = self.input( "proc_wr_strb", self._params.bank_data_width // 8) self.proc_wr_addr = self.input( "proc_wr_addr", self._params.glb_addr_width) self.proc_wr_data = self.input( "proc_wr_data", self._params.bank_data_width) self.proc_rd_en = self.input( "proc_rd_en", 1) self.proc_rd_addr = self.input( "proc_rd_addr", self._params.glb_addr_width) self.proc_rd_data = self.output( "proc_rd_data", self._params.bank_data_width) self.proc_rd_data_valid = self.output( "proc_rd_data_valid", 1) self.if_cfg_wr_en = self.input( "if_cfg_wr_en", 1) self.if_cfg_wr_addr = self.input( "if_cfg_wr_addr", self._params.axi_addr_width) self.if_cfg_wr_data = self.input( "if_cfg_wr_data", self._params.axi_data_width) self.if_cfg_rd_en = self.input( "if_cfg_rd_en", 1) self.if_cfg_rd_addr = self.input( "if_cfg_rd_addr", self._params.axi_addr_width) self.if_cfg_rd_data = self.output( "if_cfg_rd_data", self._params.axi_data_width) self.if_cfg_rd_data_valid = self.output( "if_cfg_rd_data_valid", 1) self.if_sram_cfg_wr_en = self.input( "if_sram_cfg_wr_en", 1) self.if_sram_cfg_wr_addr = self.input( "if_sram_cfg_wr_addr", self._params.glb_addr_width) self.if_sram_cfg_wr_data = self.input( "if_sram_cfg_wr_data", self._params.axi_data_width) self.if_sram_cfg_rd_en = self.input( "if_sram_cfg_rd_en", 1) self.if_sram_cfg_rd_addr = self.input( "if_sram_cfg_rd_addr", self._params.glb_addr_width) self.if_sram_cfg_rd_data = self.output( "if_sram_cfg_rd_data", self._params.axi_data_width) self.if_sram_cfg_rd_data_valid = self.output( "if_sram_cfg_rd_data_valid", 1) self.cgra_cfg_jtag_gc2glb_wr_en = self.input( "cgra_cfg_jtag_gc2glb_wr_en", 1) self.cgra_cfg_jtag_gc2glb_rd_en = self.input( "cgra_cfg_jtag_gc2glb_rd_en", 1) self.cgra_cfg_jtag_gc2glb_addr = self.input( "cgra_cfg_jtag_gc2glb_addr", self._params.cgra_cfg_addr_width) self.cgra_cfg_jtag_gc2glb_data = self.input( "cgra_cfg_jtag_gc2glb_data", self._params.cgra_cfg_data_width) self.stream_data_f2g = self.input("stream_data_f2g", self._params.cgra_data_width, size=[ self._params.num_glb_tiles, self._params.cgra_per_glb], packed=True) self.stream_data_valid_f2g = self.input("stream_data_valid_f2g", 1, size=[ self._params.num_glb_tiles, self._params.cgra_per_glb], packed=True) self.stream_data_g2f = self.output("stream_data_g2f", self._params.cgra_data_width, size=[ self._params.num_glb_tiles, self._params.cgra_per_glb], packed=True) self.stream_data_valid_g2f = self.output("stream_data_valid_g2f", 1, size=[ self._params.num_glb_tiles, self._params.cgra_per_glb], packed=True) self.cgra_cfg_g2f_cfg_wr_en = self.output("cgra_cfg_g2f_cfg_wr_en", 1, size=[ self._params.num_glb_tiles, self._params.cgra_per_glb], packed=True) self.cgra_cfg_g2f_cfg_rd_en = self.output("cgra_cfg_g2f_cfg_rd_en", 1, size=[ self._params.num_glb_tiles, self._params.cgra_per_glb], packed=True) self.cgra_cfg_g2f_cfg_addr = self.output("cgra_cfg_g2f_cfg_addr", self._params.cgra_cfg_addr_width, size=[ self._params.num_glb_tiles, self._params.cgra_per_glb], packed=True) self.cgra_cfg_g2f_cfg_data = self.output("cgra_cfg_g2f_cfg_data", self._params.cgra_cfg_data_width, size=[ self._params.num_glb_tiles, self._params.cgra_per_glb], packed=True) self.strm_g2f_start_pulse = self.input("strm_g2f_start_pulse", self._params.num_glb_tiles) self.strm_f2g_start_pulse = self.input("strm_f2g_start_pulse", self._params.num_glb_tiles) self.pcfg_start_pulse = self.input("pcfg_start_pulse", self._params.num_glb_tiles) self.strm_f2g_interrupt_pulse = self.output("strm_f2g_interrupt_pulse", self._params.num_glb_tiles) self.strm_g2f_interrupt_pulse = self.output("strm_g2f_interrupt_pulse", self._params.num_glb_tiles) self.pcfg_g2f_interrupt_pulse = self.output("pcfg_g2f_interrupt_pulse", self._params.num_glb_tiles) # local variables self.cgra_cfg_jtag_gc2glb_wr_en_d = self.var( "cgra_cfg_jtag_gc2glb_wr_en_d", 1) self.cgra_cfg_jtag_gc2glb_rd_en_d = self.var( "cgra_cfg_jtag_gc2glb_rd_en_d", 1) self.cgra_cfg_jtag_gc2glb_addr_d = self.var( "cgra_cfg_jtag_gc2glb_addr_d", self._params.cgra_cfg_addr_width) self.cgra_cfg_jtag_gc2glb_data_d = self.var( "cgra_cfg_jtag_gc2glb_data_d", self._params.cgra_cfg_data_width) self.proc_packet_d = self.var( "proc_packet_d", self.header.packet_t) self.proc_packet_e2w_esti = self.var( "proc_packet_e2w_esti", self.header.packet_t, size=self._params.num_glb_tiles, packed=True) self.proc_packet_w2e_wsti = self.var( "proc_packet_w2e_wsti", self.header.packet_t, size=self._params.num_glb_tiles, packed=True) self.proc_packet_e2w_wsto = self.var( "proc_packet_e2w_wsto", self.header.packet_t, size=self._params.num_glb_tiles, packed=True) self.proc_packet_w2e_esto = self.var( "proc_packet_w2e_esto", self.header.packet_t, size=self._params.num_glb_tiles, packed=True) self.strm_packet_e2w_esti = self.var( "strm_packet_e2w_esti", self.header.packet_t, size=self._params.num_glb_tiles, packed=True) self.strm_packet_w2e_wsti = self.var( "strm_packet_w2e_wsti", self.header.packet_t, size=self._params.num_glb_tiles, packed=True) self.strm_packet_e2w_wsto = self.var( "strm_packet_e2w_wsto", self.header.packet_t, size=self._params.num_glb_tiles, packed=True) self.strm_packet_w2e_esto = self.var( "strm_packet_w2e_esto", self.header.packet_t, size=self._params.num_glb_tiles, packed=True) self.pcfg_packet_e2w_esti = self.var( "pcfg_packet_e2w_esti", self.header.rd_packet_t, size=self._params.num_glb_tiles, packed=True) self.pcfg_packet_w2e_wsti = self.var( "pcfg_packet_w2e_wsti", self.header.rd_packet_t, size=self._params.num_glb_tiles, packed=True) self.pcfg_packet_e2w_wsto = self.var( "pcfg_packet_e2w_wsto", self.header.rd_packet_t, size=self._params.num_glb_tiles, packed=True) self.pcfg_packet_w2e_esto = self.var( "pcfg_packet_w2e_esto", self.header.rd_packet_t, size=self._params.num_glb_tiles, packed=True) self.cfg_tile_connected = self.var( "cfg_tile_connected", self._params.num_glb_tiles + 1) self.cfg_pcfg_tile_connected = self.var( "cfg_pcfg_tile_connected", self._params.num_glb_tiles + 1) self.wire(self.cfg_tile_connected[0], 0) self.wire(self.cfg_pcfg_tile_connected[0], 0) self.cgra_cfg_jtag_wsti_wr_en = self.var( "cgra_cfg_jtag_wsti_wr_en", 1, size=self._params.num_glb_tiles, packed=True) self.cgra_cfg_jtag_wsti_rd_en = self.var( "cgra_cfg_jtag_wsti_rd_en", 1, size=self._params.num_glb_tiles, packed=True) self.cgra_cfg_jtag_wsti_addr = self.var( "cgra_cfg_jtag_wsti_addr", self._params.cgra_cfg_addr_width, size=self._params.num_glb_tiles, packed=True) self.cgra_cfg_jtag_wsti_data = self.var( "cgra_cfg_jtag_wsti_data", self._params.cgra_cfg_data_width, size=self._params.num_glb_tiles, packed=True) self.cgra_cfg_jtag_esto_wr_en = self.var( "cgra_cfg_jtag_esto_wr_en", 1, size=self._params.num_glb_tiles, packed=True) self.cgra_cfg_jtag_esto_rd_en = self.var( "cgra_cfg_jtag_esto_rd_en", 1, size=self._params.num_glb_tiles, packed=True) self.cgra_cfg_jtag_esto_addr = self.var( "cgra_cfg_jtag_esto_addr", self._params.cgra_cfg_addr_width, size=self._params.num_glb_tiles, packed=True) self.cgra_cfg_jtag_esto_data = self.var( "cgra_cfg_jtag_esto_data", self._params.cgra_cfg_data_width, size=self._params.num_glb_tiles, packed=True) self.cgra_cfg_jtag_wsti_rd_en_bypass = self.var("cgra_cfg_jtag_wsti_rd_en_bypass", 1, size=self._params.num_glb_tiles, packed=True) self.cgra_cfg_jtag_wsti_addr_bypass = self.var("cgra_cfg_jtag_wsti_addr_bypass", self._params.cgra_cfg_addr_width, size=self._params.num_glb_tiles, packed=True) self.cgra_cfg_jtag_esto_rd_en_bypass = self.var("cgra_cfg_jtag_esto_rd_en_bypass", 1, size=self._params.num_glb_tiles, packed=True) self.cgra_cfg_jtag_esto_addr_bypass = self.var("cgra_cfg_jtag_esto_addr_bypass", self._params.cgra_cfg_addr_width, size=self._params.num_glb_tiles, packed=True) self.cgra_cfg_pcfg_wsti_wr_en = self.var( "cgra_cfg_pcfg_wsti_wr_en", 1, size=self._params.num_glb_tiles, packed=True) self.cgra_cfg_pcfg_wsti_rd_en = self.var( "cgra_cfg_pcfg_wsti_rd_en", 1, size=self._params.num_glb_tiles, packed=True) self.cgra_cfg_pcfg_wsti_addr = self.var( "cgra_cfg_pcfg_wsti_addr", self._params.cgra_cfg_addr_width, size=self._params.num_glb_tiles, packed=True) self.cgra_cfg_pcfg_wsti_data = self.var( "cgra_cfg_pcfg_wsti_data", self._params.cgra_cfg_data_width, size=self._params.num_glb_tiles, packed=True) self.cgra_cfg_pcfg_esto_wr_en = self.var( "cgra_cfg_pcfg_esto_wr_en", 1, size=self._params.num_glb_tiles, packed=True) self.cgra_cfg_pcfg_esto_rd_en = self.var( "cgra_cfg_pcfg_esto_rd_en", 1, size=self._params.num_glb_tiles, packed=True) self.cgra_cfg_pcfg_esto_addr = self.var( "cgra_cfg_pcfg_esto_addr", self._params.cgra_cfg_addr_width, size=self._params.num_glb_tiles, packed=True) self.cgra_cfg_pcfg_esto_data = self.var( "cgra_cfg_pcfg_esto_data", self._params.cgra_cfg_data_width, size=self._params.num_glb_tiles, packed=True) self.stall_w = self.var("stall_w", self._params.num_glb_tiles) self.stall_d = self.var("stall_d", self._params.num_glb_tiles) self.wire(self.stall_w, self.stall) self.cgra_stall_in_w = self.var( "cgra_stall_in_w", self._params.num_glb_tiles) self.cgra_stall_in_d = self.var( "cgra_stall_in_d", self._params.num_glb_tiles) self.wire(self.cgra_stall_in_w, self.cgra_stall_in) for i in range(self._params.num_glb_tiles): self.wire(self.cgra_stall[i], concat( *[self.cgra_stall_in_d[i]] * self._params.cgra_per_glb)) self.strm_g2f_start_pulse_w = self.var("strm_g2f_start_pulse_w", self._params.num_glb_tiles) self.strm_g2f_start_pulse_d = self.var("strm_g2f_start_pulse_d", self._params.num_glb_tiles) self.wire(self.strm_g2f_start_pulse, self.strm_g2f_start_pulse_w) self.strm_f2g_start_pulse_w = self.var("strm_f2g_start_pulse_w", self._params.num_glb_tiles) self.strm_f2g_start_pulse_d = self.var("strm_f2g_start_pulse_d", self._params.num_glb_tiles) self.wire(self.strm_f2g_start_pulse, self.strm_f2g_start_pulse_w) self.pcfg_start_pulse_w = self.var("pcfg_start_pulse_w", self._params.num_glb_tiles) self.pcfg_start_pulse_d = self.var("pcfg_start_pulse_d", self._params.num_glb_tiles) self.wire(self.pcfg_start_pulse, self.pcfg_start_pulse_w) self.strm_f2g_interrupt_pulse_w = self.var("strm_f2g_interrupt_pulse_w", self._params.num_glb_tiles) self.strm_f2g_interrupt_pulse_d = self.var("strm_f2g_interrupt_pulse_d", self._params.num_glb_tiles) self.wire(self.strm_f2g_interrupt_pulse_d, self.strm_f2g_interrupt_pulse) self.strm_g2f_interrupt_pulse_w = self.var("strm_g2f_interrupt_pulse_w", self._params.num_glb_tiles) self.strm_g2f_interrupt_pulse_d = self.var("strm_g2f_interrupt_pulse_d", self._params.num_glb_tiles) self.wire(self.strm_g2f_interrupt_pulse_d, self.strm_g2f_interrupt_pulse) self.pcfg_g2f_interrupt_pulse_w = self.var("pcfg_g2f_interrupt_pulse_w", self._params.num_glb_tiles) self.pcfg_g2f_interrupt_pulse_d = self.var("pcfg_g2f_interrupt_pulse_d", self._params.num_glb_tiles) self.wire(self.pcfg_g2f_interrupt_pulse_d, self.pcfg_g2f_interrupt_pulse) self.cgra_cfg_g2f_cfg_wr_en_w = self.var("cgra_cfg_g2f_cfg_wr_en_w", 1, size=[ self._params.num_glb_tiles, self._params.cgra_per_glb], packed=True) self.cgra_cfg_g2f_cfg_wr_en_d = self.var("cgra_cfg_g2f_cfg_wr_en_d", 1, size=[ self._params.num_glb_tiles, self._params.cgra_per_glb], packed=True) self.wire(self.cgra_cfg_g2f_cfg_wr_en_d, self.cgra_cfg_g2f_cfg_wr_en) self.cgra_cfg_g2f_cfg_rd_en_w = self.var("cgra_cfg_g2f_cfg_rd_en_w", 1, size=[ self._params.num_glb_tiles, self._params.cgra_per_glb], packed=True) self.cgra_cfg_g2f_cfg_rd_en_d = self.var("cgra_cfg_g2f_cfg_rd_en_d", 1, size=[ self._params.num_glb_tiles, self._params.cgra_per_glb], packed=True) self.wire(self.cgra_cfg_g2f_cfg_rd_en_d, self.cgra_cfg_g2f_cfg_rd_en) self.cgra_cfg_g2f_cfg_addr_w = self.var("cgra_cfg_g2f_cfg_addr_w", self._params.cgra_cfg_addr_width, size=[ self._params.num_glb_tiles, self._params.cgra_per_glb], packed=True) self.cgra_cfg_g2f_cfg_addr_d = self.var("cgra_cfg_g2f_cfg_addr_d", self._params.cgra_cfg_addr_width, size=[ self._params.num_glb_tiles, self._params.cgra_per_glb], packed=True) self.wire(self.cgra_cfg_g2f_cfg_addr_d, self.cgra_cfg_g2f_cfg_addr) self.cgra_cfg_g2f_cfg_data_w = self.var("cgra_cfg_g2f_cfg_data_w", self._params.cgra_cfg_data_width, size=[ self._params.num_glb_tiles, self._params.cgra_per_glb], packed=True) self.cgra_cfg_g2f_cfg_data_d = self.var("cgra_cfg_g2f_cfg_data_d", self._params.cgra_cfg_data_width, size=[ self._params.num_glb_tiles, self._params.cgra_per_glb], packed=True) self.wire(self.cgra_cfg_g2f_cfg_data_d, self.cgra_cfg_g2f_cfg_data) self.stream_data_f2g_w = self.var("stream_data_f2g_w", self._params.cgra_data_width, size=[ self._params.num_glb_tiles, self._params.cgra_per_glb], packed=True) self.stream_data_f2g_d = self.var("stream_data_f2g_d", self._params.cgra_data_width, size=[ self._params.num_glb_tiles, self._params.cgra_per_glb], packed=True) self.wire(self.stream_data_f2g, self.stream_data_f2g_w) self.stream_data_valid_f2g_w = self.var("stream_data_valid_f2g_w", 1, size=[ self._params.num_glb_tiles, self._params.cgra_per_glb], packed=True) self.stream_data_valid_f2g_d = self.var("stream_data_valid_f2g_d", 1, size=[ self._params.num_glb_tiles, self._params.cgra_per_glb], packed=True) self.wire(self.stream_data_valid_f2g, self.stream_data_valid_f2g_w) self.stream_data_g2f_w = self.var("stream_data_g2f_w", self._params.cgra_data_width, size=[ self._params.num_glb_tiles, self._params.cgra_per_glb], packed=True) self.stream_data_g2f_d = self.var("stream_data_g2f_d", self._params.cgra_data_width, size=[ self._params.num_glb_tiles, self._params.cgra_per_glb], packed=True) self.wire(self.stream_data_g2f_d, self.stream_data_g2f) self.stream_data_valid_g2f_w = self.var("stream_data_valid_g2f_w", 1, size=[ self._params.num_glb_tiles, self._params.cgra_per_glb], packed=True) self.stream_data_valid_g2f_d = self.var("stream_data_valid_g2f_d", 1, size=[ self._params.num_glb_tiles, self._params.cgra_per_glb], packed=True) self.wire(self.stream_data_valid_g2f_d, self.stream_data_valid_g2f) # interface if_cfg_tile2tile = GlbConfigInterface( addr_width=self._params.axi_addr_width, data_width=self._params.axi_data_width) if_sram_cfg_tile2tile = GlbConfigInterface( addr_width=self._params.glb_addr_width, data_width=self._params.axi_data_width) self.if_cfg_list = [] self.if_sram_cfg_list = [] for i in range(self._params.num_glb_tiles + 1): self.if_cfg_list.append(self.interface( if_cfg_tile2tile, f"if_cfg_tile2tile_{i}")) self.if_sram_cfg_list.append(self.interface( if_sram_cfg_tile2tile, f"if_sram_cfg_tile2tile_{i}")) self.glb_tile = [] for i in range(self._params.num_glb_tiles): self.glb_tile.append(GlbTile(_params=self._params)) self.wire(self.if_cfg_list[-1].rd_data, 0) self.wire(self.if_cfg_list[-1].rd_data_valid, 0) self.wire(self.if_sram_cfg_list[-1].rd_data, 0) self.wire(self.if_sram_cfg_list[-1].rd_data_valid, 0) self.add_glb_tile() self.add_always(self.left_edge_proc_ff) self.add_always(self.left_edge_cfg_ff) self.add_always(self.left_edge_sram_cfg_ff) self.add_always(self.left_edge_cgra_cfg_ff) self.tile2tile_e2w_wiring() self.tile2tile_w2e_wiring() self.add_always(self.tile2tile_w2e_cfg_wiring) self.add_always(self.interrupt_pipeline) self.add_always(self.start_pulse_pipeline) self.add_always(self.stall_pipeline) self.add_always(self.stream_data_pipeline) self.add_always(self.cgra_cfg_pcfg_pipeline) @always_ff((posedge, "clk"), (posedge, "reset")) def left_edge_proc_ff(self): if self.reset: self.proc_packet_d['wr_en'] = 0 self.proc_packet_d['wr_strb'] = 0 self.proc_packet_d['wr_addr'] = 0 self.proc_packet_d['wr_data'] = 0 self.proc_packet_d['rd_en'] = 0 self.proc_packet_d['rd_addr'] = 0 self.proc_packet_d['rd_data'] = 0 self.proc_packet_d['rd_data_valid'] = 0 self.proc_rd_data = 0 self.proc_rd_data_valid = 0 else: self.proc_packet_d['wr_en'] = self.proc_wr_en self.proc_packet_d['wr_strb'] = self.proc_wr_strb self.proc_packet_d['wr_addr'] = self.proc_wr_addr self.proc_packet_d['wr_data'] = self.proc_wr_data self.proc_packet_d['rd_en'] = self.proc_rd_en self.proc_packet_d['rd_addr'] = self.proc_rd_addr self.proc_packet_d['rd_data'] = 0 self.proc_packet_d['rd_data_valid'] = 0 self.proc_rd_data = self.proc_packet_e2w_wsto[0]['rd_data'] self.proc_rd_data_valid = self.proc_packet_e2w_wsto[0]['rd_data_valid'] @always_ff((posedge, "clk"), (posedge, "reset")) def left_edge_cfg_ff(self): if self.reset: self.if_cfg_list[0].wr_en = 0 self.if_cfg_list[0].wr_addr = 0 self.if_cfg_list[0].wr_data = 0 self.if_cfg_list[0].rd_en = 0 self.if_cfg_list[0].rd_addr = 0 self.if_cfg_rd_data = 0 self.if_cfg_rd_data_valid = 0 else: self.if_cfg_list[0].wr_en = self.if_cfg_wr_en self.if_cfg_list[0].wr_addr = self.if_cfg_wr_addr self.if_cfg_list[0].wr_data = self.if_cfg_wr_data self.if_cfg_list[0].rd_en = self.if_cfg_rd_en self.if_cfg_list[0].rd_addr = self.if_cfg_rd_addr self.if_cfg_rd_data = self.if_cfg_list[0].rd_data self.if_cfg_rd_data_valid = self.if_cfg_list[0].rd_data_valid @always_ff((posedge, "clk"), (posedge, "reset")) def left_edge_sram_cfg_ff(self): if self.reset: self.if_sram_cfg_list[0].wr_en = 0 self.if_sram_cfg_list[0].wr_addr = 0 self.if_sram_cfg_list[0].wr_data = 0 self.if_sram_cfg_list[0].rd_en = 0 self.if_sram_cfg_list[0].rd_addr = 0 self.if_sram_cfg_rd_data = 0 self.if_sram_cfg_rd_data_valid = 0 else: self.if_sram_cfg_list[0].wr_en = self.if_sram_cfg_wr_en self.if_sram_cfg_list[0].wr_addr = self.if_sram_cfg_wr_addr self.if_sram_cfg_list[0].wr_data = self.if_sram_cfg_wr_data self.if_sram_cfg_list[0].rd_en = self.if_sram_cfg_rd_en self.if_sram_cfg_list[0].rd_addr = self.if_sram_cfg_rd_addr self.if_sram_cfg_rd_data = self.if_sram_cfg_list[0].rd_data self.if_sram_cfg_rd_data_valid = self.if_sram_cfg_list[0].rd_data_valid @always_ff((posedge, "clk"), (posedge, "reset")) def left_edge_cgra_cfg_ff(self): if self.reset: self.cgra_cfg_jtag_gc2glb_wr_en_d = 0 self.cgra_cfg_jtag_gc2glb_rd_en_d = 0 self.cgra_cfg_jtag_gc2glb_addr_d = 0 self.cgra_cfg_jtag_gc2glb_data_d = 0 else: self.cgra_cfg_jtag_gc2glb_wr_en_d = self.cgra_cfg_jtag_gc2glb_wr_en self.cgra_cfg_jtag_gc2glb_rd_en_d = self.cgra_cfg_jtag_gc2glb_rd_en self.cgra_cfg_jtag_gc2glb_addr_d = self.cgra_cfg_jtag_gc2glb_addr self.cgra_cfg_jtag_gc2glb_data_d = self.cgra_cfg_jtag_gc2glb_data def tile2tile_e2w_wiring(self): self.wire(self.proc_packet_e2w_esti[self._params.num_glb_tiles - 1], self.proc_packet_w2e_esto[self._params.num_glb_tiles - 1]) self.wire(self.strm_packet_e2w_esti[self._params.num_glb_tiles - 1], 0) self.wire(self.pcfg_packet_e2w_esti[self._params.num_glb_tiles - 1], 0) for i in range(self._params.num_glb_tiles - 1): self.wire(self.proc_packet_e2w_esti[i], self.proc_packet_e2w_wsto[i + 1]) self.wire(self.strm_packet_e2w_esti[i], self.strm_packet_e2w_wsto[i + 1]) self.wire(self.pcfg_packet_e2w_esti[i], self.pcfg_packet_e2w_wsto[i + 1]) def tile2tile_w2e_wiring(self): self.wire(self.proc_packet_w2e_wsti[0], self.proc_packet_d) self.wire(self.strm_packet_w2e_wsti[0], 0) self.wire(self.pcfg_packet_w2e_wsti[0], 0) for i in range(1, self._params.num_glb_tiles): self.wire(self.proc_packet_w2e_wsti[const(i, clog2(self._params.num_glb_tiles))], self.proc_packet_w2e_esto[const((i - 1), clog2(self._params.num_glb_tiles))]) self.wire(self.strm_packet_w2e_wsti[const(i, clog2(self._params.num_glb_tiles))], self.strm_packet_w2e_esto[const((i - 1), clog2(self._params.num_glb_tiles))]) self.wire(self.pcfg_packet_w2e_wsti[const(i, clog2(self._params.num_glb_tiles))], self.pcfg_packet_w2e_esto[const((i - 1), clog2(self._params.num_glb_tiles))]) @always_comb def tile2tile_w2e_cfg_wiring(self): for i in range(0, self._params.num_glb_tiles): if i == 0: self.cgra_cfg_jtag_wsti_rd_en[i] = 0 self.cgra_cfg_jtag_wsti_wr_en[i] = self.cgra_cfg_jtag_gc2glb_wr_en_d self.cgra_cfg_jtag_wsti_addr[i] = self.cgra_cfg_jtag_gc2glb_addr_d self.cgra_cfg_jtag_wsti_data[i] = self.cgra_cfg_jtag_gc2glb_data_d self.cgra_cfg_jtag_wsti_rd_en_bypass[i] = self.cgra_cfg_jtag_gc2glb_rd_en_d self.cgra_cfg_jtag_wsti_addr_bypass[i] = self.cgra_cfg_jtag_gc2glb_addr_d self.cgra_cfg_pcfg_wsti_rd_en[i] = 0 self.cgra_cfg_pcfg_wsti_wr_en[i] = 0 self.cgra_cfg_pcfg_wsti_addr[i] = 0 self.cgra_cfg_pcfg_wsti_data[i] = 0 else: self.cgra_cfg_jtag_wsti_rd_en[i] = self.cgra_cfg_jtag_esto_rd_en[i - 1] self.cgra_cfg_jtag_wsti_wr_en[i] = self.cgra_cfg_jtag_esto_wr_en[i - 1] self.cgra_cfg_jtag_wsti_addr[i] = self.cgra_cfg_jtag_esto_addr[i - 1] self.cgra_cfg_jtag_wsti_data[i] = self.cgra_cfg_jtag_esto_data[i - 1] self.cgra_cfg_jtag_wsti_rd_en_bypass[i] = self.cgra_cfg_jtag_esto_rd_en_bypass[i - 1] self.cgra_cfg_jtag_wsti_addr_bypass[i] = self.cgra_cfg_jtag_esto_addr_bypass[i - 1] self.cgra_cfg_pcfg_wsti_rd_en[i] = self.cgra_cfg_pcfg_esto_rd_en[i - 1] self.cgra_cfg_pcfg_wsti_wr_en[i] = self.cgra_cfg_pcfg_esto_wr_en[i - 1] self.cgra_cfg_pcfg_wsti_addr[i] = self.cgra_cfg_pcfg_esto_addr[i - 1] self.cgra_cfg_pcfg_wsti_data[i] = self.cgra_cfg_pcfg_esto_data[i - 1] def add_glb_tile(self): for i in range(self._params.num_glb_tiles): self.add_child(f"glb_tile_gen_{i}", self.glb_tile[i], clk=self.clk, clk_en=clock_en(~self.stall_d[i]), reset=self.reset, glb_tile_id=i, proc_wr_en_e2w_esti=self.proc_packet_e2w_esti[i]['wr_en'], proc_wr_strb_e2w_esti=self.proc_packet_e2w_esti[i]['wr_strb'], proc_wr_addr_e2w_esti=self.proc_packet_e2w_esti[i]['wr_addr'], proc_wr_data_e2w_esti=self.proc_packet_e2w_esti[i]['wr_data'], proc_rd_en_e2w_esti=self.proc_packet_e2w_esti[i]['rd_en'], proc_rd_addr_e2w_esti=self.proc_packet_e2w_esti[i]['rd_addr'], proc_rd_data_e2w_esti=self.proc_packet_e2w_esti[i]['rd_data'], proc_rd_data_valid_e2w_esti=self.proc_packet_e2w_esti[ i]['rd_data_valid'], proc_wr_en_w2e_esto=self.proc_packet_w2e_esto[i]['wr_en'], proc_wr_strb_w2e_esto=self.proc_packet_w2e_esto[i]['wr_strb'], proc_wr_addr_w2e_esto=self.proc_packet_w2e_esto[i]['wr_addr'], proc_wr_data_w2e_esto=self.proc_packet_w2e_esto[i]['wr_data'], proc_rd_en_w2e_esto=self.proc_packet_w2e_esto[i]['rd_en'], proc_rd_addr_w2e_esto=self.proc_packet_w2e_esto[i]['rd_addr'], proc_rd_data_w2e_esto=self.proc_packet_w2e_esto[i]['rd_data'], proc_rd_data_valid_w2e_esto=self.proc_packet_w2e_esto[ i]['rd_data_valid'], proc_wr_en_w2e_wsti=self.proc_packet_w2e_wsti[i]['wr_en'], proc_wr_strb_w2e_wsti=self.proc_packet_w2e_wsti[i]['wr_strb'], proc_wr_addr_w2e_wsti=self.proc_packet_w2e_wsti[i]['wr_addr'], proc_wr_data_w2e_wsti=self.proc_packet_w2e_wsti[i]['wr_data'], proc_rd_en_w2e_wsti=self.proc_packet_w2e_wsti[i]['rd_en'], proc_rd_addr_w2e_wsti=self.proc_packet_w2e_wsti[i]['rd_addr'], proc_rd_data_w2e_wsti=self.proc_packet_w2e_wsti[i]['rd_data'], proc_rd_data_valid_w2e_wsti=self.proc_packet_w2e_wsti[ i]['rd_data_valid'], proc_wr_en_e2w_wsto=self.proc_packet_e2w_wsto[i]['wr_en'], proc_wr_strb_e2w_wsto=self.proc_packet_e2w_wsto[i]['wr_strb'], proc_wr_addr_e2w_wsto=self.proc_packet_e2w_wsto[i]['wr_addr'], proc_wr_data_e2w_wsto=self.proc_packet_e2w_wsto[i]['wr_data'], proc_rd_en_e2w_wsto=self.proc_packet_e2w_wsto[i]['rd_en'], proc_rd_addr_e2w_wsto=self.proc_packet_e2w_wsto[i]['rd_addr'], proc_rd_data_e2w_wsto=self.proc_packet_e2w_wsto[i]['rd_data'], proc_rd_data_valid_e2w_wsto=self.proc_packet_e2w_wsto[ i]['rd_data_valid'], strm_wr_en_e2w_esti=self.strm_packet_e2w_esti[i]['wr_en'], strm_wr_strb_e2w_esti=self.strm_packet_e2w_esti[i]['wr_strb'], strm_wr_addr_e2w_esti=self.strm_packet_e2w_esti[i]['wr_addr'], strm_wr_data_e2w_esti=self.strm_packet_e2w_esti[i]['wr_data'], strm_rd_en_e2w_esti=self.strm_packet_e2w_esti[i]['rd_en'], strm_rd_addr_e2w_esti=self.strm_packet_e2w_esti[i]['rd_addr'], strm_rd_data_e2w_esti=self.strm_packet_e2w_esti[i]['rd_data'], strm_rd_data_valid_e2w_esti=self.strm_packet_e2w_esti[ i]['rd_data_valid'], strm_wr_en_w2e_esto=self.strm_packet_w2e_esto[i]['wr_en'], strm_wr_strb_w2e_esto=self.strm_packet_w2e_esto[i]['wr_strb'], strm_wr_addr_w2e_esto=self.strm_packet_w2e_esto[i]['wr_addr'], strm_wr_data_w2e_esto=self.strm_packet_w2e_esto[i]['wr_data'], strm_rd_en_w2e_esto=self.strm_packet_w2e_esto[i]['rd_en'], strm_rd_addr_w2e_esto=self.strm_packet_w2e_esto[i]['rd_addr'], strm_rd_data_w2e_esto=self.strm_packet_w2e_esto[i]['rd_data'], strm_rd_data_valid_w2e_esto=self.strm_packet_w2e_esto[ i]['rd_data_valid'], strm_wr_en_w2e_wsti=self.strm_packet_w2e_wsti[i]['wr_en'], strm_wr_strb_w2e_wsti=self.strm_packet_w2e_wsti[i]['wr_strb'], strm_wr_addr_w2e_wsti=self.strm_packet_w2e_wsti[i]['wr_addr'], strm_wr_data_w2e_wsti=self.strm_packet_w2e_wsti[i]['wr_data'], strm_rd_en_w2e_wsti=self.strm_packet_w2e_wsti[i]['rd_en'], strm_rd_addr_w2e_wsti=self.strm_packet_w2e_wsti[i]['rd_addr'], strm_rd_data_w2e_wsti=self.strm_packet_w2e_wsti[i]['rd_data'], strm_rd_data_valid_w2e_wsti=self.strm_packet_w2e_wsti[ i]['rd_data_valid'], strm_wr_en_e2w_wsto=self.strm_packet_e2w_wsto[i]['wr_en'], strm_wr_strb_e2w_wsto=self.strm_packet_e2w_wsto[i]['wr_strb'], strm_wr_addr_e2w_wsto=self.strm_packet_e2w_wsto[i]['wr_addr'], strm_wr_data_e2w_wsto=self.strm_packet_e2w_wsto[i]['wr_data'], strm_rd_en_e2w_wsto=self.strm_packet_e2w_wsto[i]['rd_en'], strm_rd_addr_e2w_wsto=self.strm_packet_e2w_wsto[i]['rd_addr'], strm_rd_data_e2w_wsto=self.strm_packet_e2w_wsto[i]['rd_data'], strm_rd_data_valid_e2w_wsto=self.strm_packet_e2w_wsto[ i]['rd_data_valid'], pcfg_rd_en_e2w_esti=self.pcfg_packet_e2w_esti[i]['rd_en'], pcfg_rd_addr_e2w_esti=self.pcfg_packet_e2w_esti[i]['rd_addr'], pcfg_rd_data_e2w_esti=self.pcfg_packet_e2w_esti[i]['rd_data'], pcfg_rd_data_valid_e2w_esti=self.pcfg_packet_e2w_esti[ i]['rd_data_valid'], pcfg_rd_en_w2e_esto=self.pcfg_packet_w2e_esto[i]['rd_en'], pcfg_rd_addr_w2e_esto=self.pcfg_packet_w2e_esto[i]['rd_addr'], pcfg_rd_data_w2e_esto=self.pcfg_packet_w2e_esto[i]['rd_data'], pcfg_rd_data_valid_w2e_esto=self.pcfg_packet_w2e_esto[ i]['rd_data_valid'], pcfg_rd_en_w2e_wsti=self.pcfg_packet_w2e_wsti[i]['rd_en'], pcfg_rd_addr_w2e_wsti=self.pcfg_packet_w2e_wsti[i]['rd_addr'], pcfg_rd_data_w2e_wsti=self.pcfg_packet_w2e_wsti[i]['rd_data'], pcfg_rd_data_valid_w2e_wsti=self.pcfg_packet_w2e_wsti[ i]['rd_data_valid'], pcfg_rd_en_e2w_wsto=self.pcfg_packet_e2w_wsto[i]['rd_en'], pcfg_rd_addr_e2w_wsto=self.pcfg_packet_e2w_wsto[i]['rd_addr'], pcfg_rd_data_e2w_wsto=self.pcfg_packet_e2w_wsto[i]['rd_data'], pcfg_rd_data_valid_e2w_wsto=self.pcfg_packet_e2w_wsto[ i]['rd_data_valid'], if_cfg_est_m_wr_en=self.if_cfg_list[i + 1].wr_en, if_cfg_est_m_wr_addr=self.if_cfg_list[i + 1].wr_addr, if_cfg_est_m_wr_data=self.if_cfg_list[i + 1].wr_data, if_cfg_est_m_rd_en=self.if_cfg_list[i + 1].rd_en, if_cfg_est_m_rd_addr=self.if_cfg_list[i + 1].rd_addr, if_cfg_est_m_rd_data=self.if_cfg_list[i + 1].rd_data, if_cfg_est_m_rd_data_valid=self.if_cfg_list[i + 1].rd_data_valid, if_cfg_wst_s_wr_en=self.if_cfg_list[i].wr_en, if_cfg_wst_s_wr_addr=self.if_cfg_list[i].wr_addr, if_cfg_wst_s_wr_data=self.if_cfg_list[i].wr_data, if_cfg_wst_s_rd_en=self.if_cfg_list[i].rd_en, if_cfg_wst_s_rd_addr=self.if_cfg_list[i].rd_addr, if_cfg_wst_s_rd_data=self.if_cfg_list[i].rd_data, if_cfg_wst_s_rd_data_valid=self.if_cfg_list[i].rd_data_valid, if_sram_cfg_est_m_wr_en=self.if_sram_cfg_list[i + 1].wr_en, if_sram_cfg_est_m_wr_addr=self.if_sram_cfg_list[i + 1].wr_addr, if_sram_cfg_est_m_wr_data=self.if_sram_cfg_list[i + 1].wr_data, if_sram_cfg_est_m_rd_en=self.if_sram_cfg_list[i + 1].rd_en, if_sram_cfg_est_m_rd_addr=self.if_sram_cfg_list[i + 1].rd_addr, if_sram_cfg_est_m_rd_data=self.if_sram_cfg_list[i + 1].rd_data, if_sram_cfg_est_m_rd_data_valid=self.if_sram_cfg_list[ i + 1].rd_data_valid, if_sram_cfg_wst_s_wr_en=self.if_sram_cfg_list[i].wr_en, if_sram_cfg_wst_s_wr_addr=self.if_sram_cfg_list[i].wr_addr, if_sram_cfg_wst_s_wr_data=self.if_sram_cfg_list[i].wr_data, if_sram_cfg_wst_s_rd_en=self.if_sram_cfg_list[i].rd_en, if_sram_cfg_wst_s_rd_addr=self.if_sram_cfg_list[i].rd_addr, if_sram_cfg_wst_s_rd_data=self.if_sram_cfg_list[i].rd_data, if_sram_cfg_wst_s_rd_data_valid=self.if_sram_cfg_list[ i].rd_data_valid, cfg_tile_connected_wsti=self.cfg_tile_connected[i], cfg_tile_connected_esto=self.cfg_tile_connected[i + 1], cfg_pcfg_tile_connected_wsti=self.cfg_pcfg_tile_connected[i], cfg_pcfg_tile_connected_esto=self.cfg_pcfg_tile_connected[i + 1], stream_data_f2g=self.stream_data_f2g_d[i], stream_data_valid_f2g=self.stream_data_valid_f2g_d[i], stream_data_g2f=self.stream_data_g2f_w[i], stream_data_valid_g2f=self.stream_data_valid_g2f_w[i], cgra_cfg_g2f_cfg_wr_en=self.cgra_cfg_g2f_cfg_wr_en_w[i], cgra_cfg_g2f_cfg_rd_en=self.cgra_cfg_g2f_cfg_rd_en_w[i], cgra_cfg_g2f_cfg_addr=self.cgra_cfg_g2f_cfg_addr_w[i], cgra_cfg_g2f_cfg_data=self.cgra_cfg_g2f_cfg_data_w[i], cgra_cfg_pcfg_wsti_wr_en=self.cgra_cfg_pcfg_wsti_wr_en[i], cgra_cfg_pcfg_wsti_rd_en=self.cgra_cfg_pcfg_wsti_rd_en[i], cgra_cfg_pcfg_wsti_addr=self.cgra_cfg_pcfg_wsti_addr[i], cgra_cfg_pcfg_wsti_data=self.cgra_cfg_pcfg_wsti_data[i], cgra_cfg_pcfg_esto_wr_en=self.cgra_cfg_pcfg_esto_wr_en[i], cgra_cfg_pcfg_esto_rd_en=self.cgra_cfg_pcfg_esto_rd_en[i], cgra_cfg_pcfg_esto_addr=self.cgra_cfg_pcfg_esto_addr[i], cgra_cfg_pcfg_esto_data=self.cgra_cfg_pcfg_esto_data[i], cgra_cfg_jtag_wsti_wr_en=self.cgra_cfg_jtag_wsti_wr_en[i], cgra_cfg_jtag_wsti_rd_en=self.cgra_cfg_jtag_wsti_rd_en[i], cgra_cfg_jtag_wsti_addr=self.cgra_cfg_jtag_wsti_addr[i], cgra_cfg_jtag_wsti_data=self.cgra_cfg_jtag_wsti_data[i], cgra_cfg_jtag_esto_wr_en=self.cgra_cfg_jtag_esto_wr_en[i], cgra_cfg_jtag_esto_rd_en=self.cgra_cfg_jtag_esto_rd_en[i], cgra_cfg_jtag_esto_addr=self.cgra_cfg_jtag_esto_addr[i], cgra_cfg_jtag_esto_data=self.cgra_cfg_jtag_esto_data[i], cgra_cfg_jtag_wsti_rd_en_bypass=self.cgra_cfg_jtag_wsti_rd_en_bypass[ i], cgra_cfg_jtag_wsti_addr_bypass=self.cgra_cfg_jtag_wsti_addr_bypass[ i], cgra_cfg_jtag_esto_rd_en_bypass=self.cgra_cfg_jtag_esto_rd_en_bypass[ i], cgra_cfg_jtag_esto_addr_bypass=self.cgra_cfg_jtag_esto_addr_bypass[ i], strm_g2f_start_pulse=self.strm_g2f_start_pulse_d[i], strm_f2g_start_pulse=self.strm_f2g_start_pulse_d[i], pcfg_start_pulse=self.pcfg_start_pulse_d[i], strm_f2g_interrupt_pulse=self.strm_f2g_interrupt_pulse_w[i], strm_g2f_interrupt_pulse=self.strm_g2f_interrupt_pulse_w[i], pcfg_g2f_interrupt_pulse=self.pcfg_g2f_interrupt_pulse_w[i]) @always_ff((posedge, "clk"), (posedge, "reset")) def interrupt_pipeline(self): if self.reset: for i in range(self._params.num_glb_tiles): self.strm_f2g_interrupt_pulse_d[i] = 0 self.strm_g2f_interrupt_pulse_d[i] = 0 self.pcfg_g2f_interrupt_pulse_d[i] = 0 else: for i in range(self._params.num_glb_tiles): self.strm_f2g_interrupt_pulse_d[i] = self.strm_f2g_interrupt_pulse_w[i] self.strm_g2f_interrupt_pulse_d[i] = self.strm_g2f_interrupt_pulse_w[i] self.pcfg_g2f_interrupt_pulse_d[i] = self.pcfg_g2f_interrupt_pulse_w[i] @always_ff((posedge, "clk"), (posedge, "reset")) def start_pulse_pipeline(self): if self.reset: for i in range(self._params.num_glb_tiles): self.strm_g2f_start_pulse_d[i] = 0 self.strm_f2g_start_pulse_d[i] = 0 self.pcfg_start_pulse_d[i] = 0 else: for i in range(self._params.num_glb_tiles): self.strm_g2f_start_pulse_d[i] = self.strm_g2f_start_pulse_w[i] self.strm_f2g_start_pulse_d[i] = self.strm_f2g_start_pulse_w[i] self.pcfg_start_pulse_d[i] = self.pcfg_start_pulse_w[i] @always_ff((posedge, "clk"), (posedge, "reset")) def stall_pipeline(self): if self.reset: for i in range(self._params.num_glb_tiles): self.stall_d[i] = 0 self.cgra_stall_in_d[i] = 0 else: for i in range(self._params.num_glb_tiles): self.stall_d[i] = self.stall_w[i] self.cgra_stall_in_d[i] = self.cgra_stall_in_w[i] @always_ff((posedge, "clk"), (posedge, "reset")) def stream_data_pipeline(self): if self.reset: for i in range(self._params.num_glb_tiles): self.stream_data_g2f_d[i] = 0 self.stream_data_valid_g2f_d[i] = 0 self.stream_data_f2g_d[i] = 0 self.stream_data_valid_f2g_d[i] = 0 else: for i in range(self._params.num_glb_tiles): self.stream_data_g2f_d[i] = self.stream_data_g2f_w[i] self.stream_data_valid_g2f_d[i] = self.stream_data_valid_g2f_w[i] self.stream_data_f2g_d[i] = self.stream_data_f2g_w[i] self.stream_data_valid_f2g_d[i] = self.stream_data_valid_f2g_w[i] @always_ff((posedge, "clk"), (posedge, "reset")) def cgra_cfg_pcfg_pipeline(self): if self.reset: for i in range(self._params.num_glb_tiles): self.cgra_cfg_g2f_cfg_wr_en_d[i] = 0 self.cgra_cfg_g2f_cfg_rd_en_d[i] = 0 self.cgra_cfg_g2f_cfg_addr_d[i] = 0 self.cgra_cfg_g2f_cfg_data_d[i] = 0 else: for i in range(self._params.num_glb_tiles): self.cgra_cfg_g2f_cfg_wr_en_d[i] = self.cgra_cfg_g2f_cfg_wr_en_w[i] self.cgra_cfg_g2f_cfg_rd_en_d[i] = self.cgra_cfg_g2f_cfg_rd_en_w[i] self.cgra_cfg_g2f_cfg_addr_d[i] = self.cgra_cfg_g2f_cfg_addr_w[i] self.cgra_cfg_g2f_cfg_data_d[i] = self.cgra_cfg_g2f_cfg_data_w[i] def GlobalBufferMagma(params: GlobalBufferParams): dut = GlobalBuffer(params) circ = to_magma(dut, flatten_array=True) return FromMagma(circ)
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3
1572b9d932a227e0f1af308a706b226074c2084e
223
py
Python
Control/IController.py
ace964/Azubot
b77416d6152efdc3a806ee590bac2272629bab5a
[ "MIT" ]
1
2018-07-12T10:14:40.000Z
2018-07-12T10:14:40.000Z
Control/IController.py
ace964/Azubot
b77416d6152efdc3a806ee590bac2272629bab5a
[ "MIT" ]
null
null
null
Control/IController.py
ace964/Azubot
b77416d6152efdc3a806ee590bac2272629bab5a
[ "MIT" ]
null
null
null
""" Interface for Controllers functionality described in ps4.py ord xbox.py """ class IController: def start(self): raise NotImplementedError def getActions(self): raise NotImplementedError
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0.116883
0.363636
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0.005917
0.242152
223
10
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22.3
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3
1584a1bc2e17f61c4173cce02e535e03e917f85d
53
py
Python
data/studio21_generated/introductory/4302/starter_code.py
vijaykumawat256/Prompt-Summarization
614f5911e2acd2933440d909de2b4f86653dc214
[ "Apache-2.0" ]
null
null
null
data/studio21_generated/introductory/4302/starter_code.py
vijaykumawat256/Prompt-Summarization
614f5911e2acd2933440d909de2b4f86653dc214
[ "Apache-2.0" ]
null
null
null
data/studio21_generated/introductory/4302/starter_code.py
vijaykumawat256/Prompt-Summarization
614f5911e2acd2933440d909de2b4f86653dc214
[ "Apache-2.0" ]
null
null
null
def better_than_average(class_points, your_points):
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51
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5.125
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26.5
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0
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0
0
3
15924953c2e4ae2608a0cc8522236b8362983f00
16,706
py
Python
query_research/query_research_handler.py
sjuenger/WikiMETA
13ed293b4bda8ff0fc10b532907ca35c24a12616
[ "MIT" ]
null
null
null
query_research/query_research_handler.py
sjuenger/WikiMETA
13ed293b4bda8ff0fc10b532907ca35c24a12616
[ "MIT" ]
null
null
null
query_research/query_research_handler.py
sjuenger/WikiMETA
13ed293b4bda8ff0fc10b532907ca35c24a12616
[ "MIT" ]
null
null
null
import query_research.transform_data.transform_data_handler as transform_data_handler import query_research.scenario_detection_unit as scenario_detection_unit import query_research.properties_counter as properties_counter import query_research.statistical_information_handler as statistical_information_handler import query_research.wikidata_dictionary_and_found_query_properties as wikidata_dictionary_and_found_query_properties import query_research.ranks_counter as ranks_counter import query_research.example_queries_in_data as example_queries_in_data import query_research.amount_of_queries as amount_of_queries TIMEFRAMES = [ "2017-06-12_2017-07-09_organic", "2017-07-10_2017-08-06_organic", "2017-08-07_2017-09-03_organic", "2017-12-03_2017-12-30_organic", "2018-01-01_2018-01-28_organic", "2018-01-29_2018-02-25_organic", "2018-02-26_2018-03-25_organic" ] DATA_TYPES_REFERENCE = [ "reference_metadata/all_three", "reference_metadata/derived_+_reference_node", "reference_metadata/derived_+_reference_property", "reference_metadata/only_derived", "reference_metadata/only_reference_node", "reference_metadata/only_reference_property", "reference_metadata/reference_node_+_reference_property" ] DATA_TYPES_QUALIFIER = [ "qualifier_metadata/property_qualifier" ] DATA_TYPES_RANK = [ "rank_metadata/rank_property", "rank_metadata/preferred_rank_+_rank_property", "rank_metadata/normal_rank_+_rank_property", "rank_metadata/deprecated_rank_+_rank_property", "rank_metadata/preferred_+_normal_rank_+_rank_property", "rank_metadata/preferred_+_deprecated_rank_+_rank_property", "rank_metadata/normal_+_deprecated_rank_+_rank_property", "rank_metadata/all_ranks_+_rank_property", "rank_metadata/normal_rank", "rank_metadata/deprecated_rank", "rank_metadata/preferred_rank", "rank_metadata/preferred_+_normal_rank", "rank_metadata/preferred_+_deprecated_rank", "rank_metadata/normal_+_deprecated_rank", "rank_metadata/all_ranks", "rank_metadata/best_rank_property", "rank_metadata/rank_property_+_best_rank_property", "rank_metadata/preferred_rank_+_rank_property_+_best_rank_property", "rank_metadata/normal_rank_+_rank_property_+_best_rank_property", "rank_metadata/deprecated_rank_+_rank_property_+_best_rank_property", "rank_metadata/preferred_+_normal_rank_+_rank_property_+_best_rank_property", "rank_metadata/preferred_+_deprecated_rank_+_rank_property_+_best_rank_property", "rank_metadata/normal_+_deprecated_rank_+_rank_property_+_best_rank_property", "rank_metadata/all_ranks_+_rank_property_+_best_rank_property", "rank_metadata/normal_rank_+_best_rank_property", "rank_metadata/deprecated_rank_+_best_rank_property", "rank_metadata/preferred_rank_+_best_rank_property", "rank_metadata/preferred_+_normal_rank_+_best_rank_property", "rank_metadata/preferred_+_deprecated_rank_+_best_rank_property", "rank_metadata/normal_+_deprecated_rank_+_best_rank_property", "rank_metadata/all_ranks_+_best_rank_property" ] def start_research_of_query_data(args, x): # use a bit-like structure to tell the function, what actions to perform # generate the data if args[0] == 1: print("Generate the query data.") transform_data_handler. \ start_creating_data(TIMEFRAMES, [DATA_TYPES_REFERENCE, DATA_TYPES_QUALIFIER, DATA_TYPES_RANK]) # count the amount of queries with and without metadata (overall & per timeframe) if args[1] == 1: print("Count the amount of queries with and without metadata (overall & per timeframe).") amount_of_queries.save_total_of_queries_amount_per_timeframe(TIMEFRAMES, ["qualifier_metadata", "reference_metadata", "rank_metadata"]) amount_of_queries.save_total_of_queries_amount_overall(TIMEFRAMES, ["qualifier_metadata", "reference_metadata", "rank_metadata"]) # detect scenarios if args[2] == 1: print("Detect the query scenarios.") for timeframe in TIMEFRAMES: print("Detecting the scenarios of: ", timeframe) print("Reference") for datatype in DATA_TYPES_REFERENCE: scenario_detection_unit.detect_scenarios(timeframe, datatype, "redundant") scenario_detection_unit.detect_scenarios(timeframe, datatype, "non_redundant") print("Qualifier") for datatype in DATA_TYPES_QUALIFIER: scenario_detection_unit.detect_scenarios(timeframe, datatype, "redundant") scenario_detection_unit.detect_scenarios(timeframe, datatype, "non_redundant") print("Rank") for datatype in DATA_TYPES_RANK: scenario_detection_unit.detect_scenarios(timeframe, datatype, "redundant") scenario_detection_unit.detect_scenarios(timeframe, datatype, "non_redundant") # count the gathered properties and ranks if args[3] == 1: print("Count the gathered properties and ranks.") for timeframe in TIMEFRAMES: properties_counter.count_property_in(timeframe, "reference_metadata", DATA_TYPES_REFERENCE, "redundant") properties_counter.count_property_in(timeframe, "reference_metadata", DATA_TYPES_REFERENCE, "non_redundant") properties_counter.count_property_in(timeframe, "qualifier_metadata", DATA_TYPES_QUALIFIER, "redundant") properties_counter.count_property_in(timeframe, "qualifier_metadata", DATA_TYPES_QUALIFIER, "non_redundant") ranks_counter.count_ranks_in(timeframe, "rank_metadata", DATA_TYPES_RANK, "redundant") ranks_counter.count_ranks_in(timeframe, "rank_metadata", DATA_TYPES_RANK, "non_redundant") # create the statistical information about the counted properties in relation to the gathered facets/datatypes # .. from Wikidata if args[4] == 1: print("Create the statistical information about the counted properties in relation to the gathered facets/datatypes" "from Wikidata.") for timeframe in TIMEFRAMES: for metadata_mode in ["qualifier_metadata", "reference_metadata"]: for redundancy_mode in ["redundant", "non_redundant"]: wikidata_dictionary_and_found_query_properties. \ create_dict_based_on_properties_dict_timeframe_and_Wikidata_property_dict_per_timeframe( timeframe, metadata_mode, redundancy_mode) for recommended_mode in [True, False, None]: statistical_information_handler. \ get_top_x_counted_properties_timeframe(timeframe, x, metadata_mode, recommended_mode, redundancy_mode) statistical_information_handler. \ get_top_x_counted_facets_timeframe( timeframe, x, metadata_mode, recommended_mode, redundancy_mode) statistical_information_handler. \ get_top_x_counted_datatypes_timeframe( timeframe, x, metadata_mode, recommended_mode, redundancy_mode) statistical_information_handler. \ get_top_x_counted_accumulated_facets_timeframe( timeframe, x, metadata_mode, recommended_mode, redundancy_mode) statistical_information_handler. \ get_top_x_counted_accumulated_datatypes_timeframe( timeframe, x, metadata_mode, recommended_mode, redundancy_mode) statistical_information_handler. \ get_top_x_counted_properties_timeframe(timeframe, x, metadata_mode, recommended_mode, redundancy_mode) statistical_information_handler. \ get_top_x_counted_facets_timeframe( timeframe, x, metadata_mode, recommended_mode, redundancy_mode) statistical_information_handler. \ get_top_x_counted_datatypes_timeframe( timeframe, x, metadata_mode, recommended_mode, redundancy_mode) statistical_information_handler. \ get_top_x_counted_accumulated_facets_timeframe( timeframe, x, metadata_mode, recommended_mode, redundancy_mode) statistical_information_handler. \ get_top_x_counted_accumulated_datatypes_timeframe( timeframe, x, metadata_mode, recommended_mode, redundancy_mode) # look for Wikidata Example Queries in the Query data if args[5] == 1: print("Look for Wikidata Example Queries in the Query data.") for timeframe in TIMEFRAMES: for (metadata_mode, datatype) in [("qualifier_metadata", DATA_TYPES_QUALIFIER), ("reference_metadata", DATA_TYPES_REFERENCE), ("rank_metadata", DATA_TYPES_RANK)]: # count the example queries from the Wikidata SPARQL Endpoint in ALL queries example_queries_in_data. \ count_example_queries_in_queries("Wikidata_Example_Queries",timeframe, metadata_mode, datatype, False) # count the example queries from the Wikidata SPARQL Endpoint in # .. the 'marked as redundant' queries example_queries_in_data. \ count_example_queries_in_queries("Wikidata_Example_Queries",timeframe, metadata_mode, datatype, True) # summarize the information about the timeframes if args[6] == 1: print("Summarize the information (scenarios + properties + ranks) about the timeframes") statistical_information_handler.summarize_additional_scenario_information_about_BIND(TIMEFRAMES) statistical_information_handler.summarize_additional_scenario_information_about_FILTER(TIMEFRAMES) statistical_information_handler.summarize_additional_scenario_information_about_MINUS(TIMEFRAMES) statistical_information_handler.summarize_additional_scenario_information_about_OPTIONAL(TIMEFRAMES) statistical_information_handler.summarize_additional_scenario_information_about_PROP_PATH(TIMEFRAMES) statistical_information_handler.summarize_additional_scenario_information_about_SUBSELECT(TIMEFRAMES) statistical_information_handler.summarize_additional_scenario_information_about_UNION(TIMEFRAMES) for timeframe in TIMEFRAMES: for (metadata_mode, datatype) in [("qualifier_metadata", DATA_TYPES_QUALIFIER), ("reference_metadata", DATA_TYPES_REFERENCE), ("rank_metadata", DATA_TYPES_RANK)]: for redundancy_mode in ["redundant", "non_redundant"]: statistical_information_handler. \ summarize_statistical_information_about_scenarios(timeframe, datatype, metadata_mode, redundancy_mode) for datatype in [DATA_TYPES_QUALIFIER, DATA_TYPES_REFERENCE, DATA_TYPES_RANK]: # summarize the information about the detected / found Wikidata example queries in the data example_queries_in_data.summarize_scenario_data_from_metadata_per_datatype_and_overall(TIMEFRAMES, datatype, True) example_queries_in_data.summarize_scenario_data_from_metadata_per_datatype_and_overall(TIMEFRAMES, datatype, False) for redundancy_mode in ["redundant", "non_redundant"]: for metadata_mode in ["qualifier_metadata", "reference_metadata", "rank_metadata"]: statistical_information_handler.summarize_statistical_information_about_timeframes(TIMEFRAMES, metadata_mode, redundancy_mode) for metadata_mode in ["rank_metadata"]: statistical_information_handler.summarize_statistical_information_about_counted_ranks(TIMEFRAMES, metadata_mode, redundancy_mode) for metadata_mode in ["qualifier_metadata", "reference_metadata"]: statistical_information_handler.summarize_statistical_information_about_counted_raw_properties(TIMEFRAMES, metadata_mode, redundancy_mode) statistical_information_handler. \ get_top_x_counted_raw_properties_overall(x, metadata_mode, redundancy_mode) for recommended_mode in [True, False, None]: statistical_information_handler. \ summarize_timeframe_information_about_properties_and_get_top_x(x, TIMEFRAMES, metadata_mode, recommended_mode, redundancy_mode) statistical_information_handler. \ summarize_timeframe_information_about_facets_and_get_top_x(x, TIMEFRAMES, metadata_mode, recommended_mode, redundancy_mode) statistical_information_handler. \ summarize_timeframe_information_about_datatypes(TIMEFRAMES, metadata_mode, recommended_mode, redundancy_mode) statistical_information_handler. \ summarize_timeframe_information_about_accumulated_facets_and_get_top_x(x, TIMEFRAMES, metadata_mode, recommended_mode, redundancy_mode) statistical_information_handler. \ summarize_timeframe_information_about_accumulated_datatypes(TIMEFRAMES, metadata_mode, recommended_mode, redundancy_mode)
57.212329
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1,447
16,706
6.239115
0.093296
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0.72253
0.66615
0.597585
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0.363522
16,706
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false
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3
159fe5158d0dcf5a3a393dd47e3f68d9f23e12b4
408
py
Python
tests/test_compiler.py
sheecegardezi/RobotChallenge
afce5d48d0f4bfe6e14e824be0c3f20b01337b3f
[ "Apache-2.0" ]
null
null
null
tests/test_compiler.py
sheecegardezi/RobotChallenge
afce5d48d0f4bfe6e14e824be0c3f20b01337b3f
[ "Apache-2.0" ]
2
2022-03-02T15:25:00.000Z
2022-03-03T05:18:12.000Z
tests/test_compiler.py
sheecegardezi/RobotChallenge
afce5d48d0f4bfe6e14e824be0c3f20b01337b3f
[ "Apache-2.0" ]
null
null
null
from robotchallenge.Compiler.compiler import Compiler from robotchallenge.Compiler.compiler import CompilerError def test_compiler(): try: compiler = Compiler("INVALID_CMD") compiler.compile() assert False, "Should not reach here" except CompilerError: assert True, "Should reach here" if __name__ == "__main__": test_compiler() print("All tests passed")
22.666667
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0.189781
0.248175
0.291971
0
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0.083333
0.166667
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0.25
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0
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0
0
0
0
1
0
0
0
0
0
3
15a5b07fedafafc8e67ebfb5816d001133fca794
296
py
Python
config_sample.py
juanino/weatherstation
a59234d3e780957a0632584a0dc3e8c89c755822
[ "MIT" ]
null
null
null
config_sample.py
juanino/weatherstation
a59234d3e780957a0632584a0dc3e8c89c755822
[ "MIT" ]
null
null
null
config_sample.py
juanino/weatherstation
a59234d3e780957a0632584a0dc3e8c89c755822
[ "MIT" ]
null
null
null
# rename this file to config.py # change with your info from adafruit.io ADAFRUIT_IO_USERNAME = "XXXX" ADAFRUIT_IO_KEY = "aio_XXXXXXXXXXXXXXXXXXXXXXXXXXXX" APIURL="https://api.openweathermap.org/data/2.5/weather?lat=41.XXXXXX&lon=-73.XXXXXX&appid=XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX&units=imperial"
49.333333
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0.820946
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296
5.804878
0.878049
0.12605
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0.021739
0.067568
296
5
140
59.2
0.84058
0.22973
0
0
0
0.333333
0.737778
0.142222
0
0
0
0
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false
0
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0
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0
0
0
0
0
0
0
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3
15b392fed00c2a51fde89f366114f39fb02a3508
1,302
py
Python
src/server/server.py
Irsutoro/sesame
142959a6e4c814c72f480b0252a028d8586b77da
[ "MIT" ]
null
null
null
src/server/server.py
Irsutoro/sesame
142959a6e4c814c72f480b0252a028d8586b77da
[ "MIT" ]
null
null
null
src/server/server.py
Irsutoro/sesame
142959a6e4c814c72f480b0252a028d8586b77da
[ "MIT" ]
null
null
null
import peewee as pw import hashlib import os from base64 import b64decode, b64encode from typing import List class Server: def __init__(self, database: pw.Database, base_model: pw.Model): self.database = None self.base_model = base_model self.connect_to_database(database) def create_tables(self): self.database.create_tables(self.models()) def connect_to_database(self, database: pw.Database): self.database = database self._initialize_proxy() def models(self) -> List[pw.Model]: return self.base_model.__subclasses__() def _initialize_proxy(self): self.base_model._meta.database.initialize(self.database) @staticmethod def _generate_salt(length: int) -> bytes: salt = os.urandom(length) return salt @staticmethod def _hash_password(password: str, salt: bytes, iterations: int, algorithm: str) -> bytes: hashed_password = hashlib.pbkdf2_hmac(algorithm, password.encode(), salt, iterations) return hashed_password @staticmethod def _bytes_to_base(value: bytes) -> str: result = b64encode(value).decode() return result @staticmethod def _base_to_bytes(value: str) -> bytes: result = b64decode(value) return result
28.933333
93
0.683564
155
1,302
5.503226
0.322581
0.084408
0.045721
0.051583
0
0
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0
0
0
0.010913
0.225806
1,302
45
94
28.933333
0.835317
0
0
0.171429
0
0
0
0
0
0
0
0
0
1
0.257143
false
0.085714
0.142857
0.028571
0.571429
0
0
0
0
null
0
0
0
0
0
0
0
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0
0
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0
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0
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0
0
0
0
null
0
0
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0
0
1
0
1
0
0
1
0
0
3
ec7dc26d09ac44452b689a851285b05d5cd4e6ad
697
py
Python
Oving6/card_deck.py
JakubMroz4/PythonUiS
fc4f8ff15f280e07e21d55df31f9dfb81cf5a6cd
[ "MIT" ]
null
null
null
Oving6/card_deck.py
JakubMroz4/PythonUiS
fc4f8ff15f280e07e21d55df31f9dfb81cf5a6cd
[ "MIT" ]
null
null
null
Oving6/card_deck.py
JakubMroz4/PythonUiS
fc4f8ff15f280e07e21d55df31f9dfb81cf5a6cd
[ "MIT" ]
1
2021-04-26T14:32:52.000Z
2021-04-26T14:32:52.000Z
from card import Card import random class CardDeck: cards: list def __init__(self): self.cards = [] for i in range(1, 14): self.cards.append(Card("Club", i)) self.cards.append(Card("Diamond", i)) self.cards.append(Card("Heart", i)) self.cards.append(Card("Spade", i)) def shuffle(self): random.shuffle(self.cards) def take(self): card = self.cards[-1] del self.cards[-1] return card def __str__(self): text = "Carddeck \n" for card in self.cards: text += str(card) + "\n" return text def __len__(self): return len(self.cards)
21.78125
49
0.536585
89
697
4.067416
0.337079
0.248619
0.165746
0.209945
0.165746
0
0
0
0
0
0
0.010753
0.332855
697
31
50
22.483871
0.767742
0
0
0
0
0
0.04878
0
0
0
0
0
0
1
0.208333
false
0
0.083333
0.041667
0.5
0
0
0
0
null
1
0
1
0
0
0
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0
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0
0
0
0
0
0
0
0
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0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
0
0
0
0
3
ec7ed378c2b87d37e8b3cf022e951a830a7b3c50
1,365
py
Python
SRC/common/IO/pixelgroupparam.py
usnistgov/OOF3D
4fd423a48aea9c5dc207520f02de53ae184be74c
[ "X11" ]
31
2015-04-01T15:59:36.000Z
2022-03-18T20:21:47.000Z
SRC/common/IO/pixelgroupparam.py
usnistgov/OOF3D
4fd423a48aea9c5dc207520f02de53ae184be74c
[ "X11" ]
3
2015-02-06T19:30:24.000Z
2017-05-25T14:14:31.000Z
SRC/common/IO/pixelgroupparam.py
usnistgov/OOF3D
4fd423a48aea9c5dc207520f02de53ae184be74c
[ "X11" ]
7
2015-01-23T15:19:22.000Z
2021-06-09T09:03:59.000Z
# -*- python -*- # This software was produced by NIST, an agency of the U.S. government, # and by statute is not subject to copyright in the United States. # Recipients of this software assume all responsibilities associated # with its operation, modification and maintenance. However, to # facilitate maintenance we ask that before distributing modified # versions of this software, you first contact the authors at # oof_manager@nist.gov. from ooflib.common.IO import parameter from ooflib.common.IO import placeholder import types # Parameter subclass for choosing a PixelGroup in a Microstructure class PixelGroupParameter(parameter.StringParameter): def valueDesc(self): return "The name of a PixelGroup." # Parameter subclass for choosing either a PixelGroup, every pixel, or # the currently selected pixels. class PixelAggregateParameter(placeholder.PlaceHolderParameter): types = (types.StringType, placeholder.selection, placeholder.every) def valueDesc(self): return "The name of a PixelGroup, or <link linkend='Object-Placeholder'><constant>every</constant></link> or <link linkend='Object-Placeholder'><constant>selected</constant></link>." #Interface branch class PixelGroupInterfaceParameter(parameter.StringParameter): def valueDesc(self): return "The name of a PixelGroup or &lt;No pixelgroup&gt;."
39
190
0.772894
172
1,365
6.127907
0.546512
0.052182
0.045541
0.062619
0.28463
0.239089
0.16888
0.16888
0.16888
0.16888
0
0
0.147985
1,365
34
191
40.147059
0.906277
0.443956
0
0.230769
0
0.076923
0.33244
0.171582
0
0
0
0
0
1
0.230769
false
0
0.230769
0.230769
1
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null
0
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0
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0
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0
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0
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0
0
0
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0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
1
1
0
0
3
ec9b96ae1653b158cdbe45e4dc4eb4ef67dbb03d
358
py
Python
homeworks/210215/hw_1/returning_values_from_decorated_functions.py
ObukhovVladislav/python-adv
ffab71d28e54d2c9b9c53c5fec453873242291f3
[ "Apache-2.0" ]
null
null
null
homeworks/210215/hw_1/returning_values_from_decorated_functions.py
ObukhovVladislav/python-adv
ffab71d28e54d2c9b9c53c5fec453873242291f3
[ "Apache-2.0" ]
null
null
null
homeworks/210215/hw_1/returning_values_from_decorated_functions.py
ObukhovVladislav/python-adv
ffab71d28e54d2c9b9c53c5fec453873242291f3
[ "Apache-2.0" ]
1
2021-03-29T05:44:02.000Z
2021-03-29T05:44:02.000Z
# from decorators import do_twice # # # @do_twice def return_greeting(name): print("Создание приветствия") return f"Hi {name}" hi_vlad = return_greeting("Vlad") def do_twice(func): def wrapper_do_twice(*args, **kwargs): func(*args, **kwargs) return func(*args, **kwargs) return wrapper_do_twice return_greeting("Vlad")
16.272727
42
0.670391
47
358
4.87234
0.404255
0.152838
0.157205
0.174672
0
0
0
0
0
0
0
0
0.198324
358
21
43
17.047619
0.797909
0.114525
0
0
0
0
0.11859
0
0
0
0
0
0
1
0.3
false
0
0
0
0.6
0.1
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
ec9c4a5e7a842f7335bf3471003bae1f04cda881
4,985
py
Python
upload_gamelog.py
jcferrara/fantasy-football-start-or-sit
4c3ac7be9f086863912f0181bf2dafb87d8cd4d1
[ "MIT" ]
null
null
null
upload_gamelog.py
jcferrara/fantasy-football-start-or-sit
4c3ac7be9f086863912f0181bf2dafb87d8cd4d1
[ "MIT" ]
null
null
null
upload_gamelog.py
jcferrara/fantasy-football-start-or-sit
4c3ac7be9f086863912f0181bf2dafb87d8cd4d1
[ "MIT" ]
null
null
null
#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Thu Sep 2 19:47:52 2021 @author: JustinFerrara """ import pandas as pd import pymysql def upload_gamelog(data): try: db = pymysql.connect(host = host_name, user = user_name, passwd = password, db = db_name) if db.open: cursor = db.cursor() cursor.execute("select database();") record = cursor.fetchone() print("You're connected to database: ", record[0]) cursor.execute('DROP TABLE IF EXISTS Gamelog;') print('Creating \'Gamelog\' table....') cursor.execute(''' CREATE TABLE Gamelog( date DATE, week_number INT(2), player_team VARCHAR(50), game_setting VARCHAR(8), game_opponent VARCHAR(3), game_result VARCHAR(12), passing_completions INT(4), passing_attempts INT(4), passing_completion_pct FLOAT(6), passing_yards INT(4), passing_td INT(2), passing_int INT(2), passing_qbr FLOAT(4), passing_sacks FLOAT(3), passing_yards_per_att FLOAT(8), rushing_attempts INT(4), rushing_yards INT(4), rushing_yards_per_att FLOAT(8), rushing_td INT(2), receiving_targets INT(2), receiving_receptions INT(2), receiving_yards INT(3), receiving_yards_per_reception FLOAT(8), receiving_td INT(2), receiving_catch_pct FLOAT(8), receiving_yards_per_target FLOAT(8), scoring_total_td INT(2), scoring_total_points INT(3), fumbles_num INT(2), fumbles_num_lost INT(2), fumbles_num_recovered INT(2), num_off_snaps INT(3), pct_off_snaps FLOAT(8), num_st_snaps INT(3), pct_st_snaps FLOAT(8), player_code VARCHAR(50)) ''') print('Table created successfully....') for i, row in data.iterrows(): sql = '''INSERT INTO `Gamelog` (`date`, `week_number`, `player_team`, `game_setting`, `game_opponent`, `game_result`, `passing_completions`, `passing_attempts`, `passing_completion_pct`, `passing_yards`, `passing_td`, `passing_int`, `passing_qbr`, `passing_sacks`, `passing_yards_per_att`, `rushing_attempts`, `rushing_yards`, `rushing_yards_per_att`, `rushing_td`, `receiving_targets`, `receiving_receptions`, `receiving_yards`, `receiving_yards_per_reception`, `receiving_td`, `receiving_catch_pct`, `receiving_yards_per_target`, `scoring_total_td`, `scoring_total_points`, `fumbles_num`, `fumbles_num_lost`, `fumbles_num_recovered`, `num_off_snaps`, `pct_off_snaps`, `num_st_snaps`, `pct_st_snaps`, `player_code`) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s,%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)''' cursor.execute(sql, tuple(row)) db.commit() print("Table import complete!") except: print("Error while connecting to MySQL") finally: db.close() print("Connection closed") game_stats = pd.read_csv('game_stats_db.csv') upload_gamelog(game_stats)
35.863309
107
0.392578
417
4,985
4.414868
0.302158
0.038023
0.055405
0.0717
0.045627
0.045627
0.019555
0.019555
0.019555
0.019555
0
0.021694
0.519157
4,985
138
108
36.123188
0.74635
0.020662
0
0
0
0.019048
0.785582
0.079688
0
0
0
0
0
1
0.009524
false
0.180952
0.028571
0
0.038095
0.057143
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
1
0
null
0
0
0
0
0
0
0
1
0
0
0
0
0
3
ecabf53a4a1d6faca514dcc9efdac505c2bebd47
338
py
Python
test/_utils.py
rrobertsrgare/server-client-python
3f4db45584fb352e9f21c870027a2302cb824909
[ "CC0-1.0", "MIT" ]
1
2019-08-09T20:19:12.000Z
2019-08-09T20:19:12.000Z
test/_utils.py
jorwoods/server-client-python
fefd6f18d8a6617829c6323879d2c3ed77a4cda6
[ "CC0-1.0", "MIT" ]
1
2021-02-24T00:26:46.000Z
2021-02-24T00:26:46.000Z
test/_utils.py
jorwoods/server-client-python
fefd6f18d8a6617829c6323879d2c3ed77a4cda6
[ "CC0-1.0", "MIT" ]
1
2021-02-17T18:39:10.000Z
2021-02-17T18:39:10.000Z
import os.path TEST_ASSET_DIR = os.path.join(os.path.dirname(__file__), 'assets') def asset(filename): return os.path.join(TEST_ASSET_DIR, filename) def read_xml_asset(filename): with open(asset(filename), 'rb') as f: return f.read().decode('utf-8') def read_xml_assets(*args): return map(read_xml_asset, args)
19.882353
66
0.704142
54
338
4.148148
0.462963
0.107143
0.107143
0
0
0
0
0
0
0
0
0.003497
0.153846
338
16
67
21.125
0.77972
0
0
0
0
0
0.038462
0
0
0
0
0
0
1
0.333333
false
0
0.111111
0.222222
0.777778
0
0
0
0
null
0
0
0
0
0
0
0
0
0
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0
0
0
0
0
0
0
0
0
0
0
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null
0
0
0
0
0
1
0
0
0
1
1
0
0
3
ecde0c77c9550d187f80e7e69b05bef9177bb610
137
py
Python
backend/schemas/comment_like_schema.py
heshikirihasebe/fastapi-instagram-clone
7bc265a62160171c5c5c1b2f18b3c86833cb64e7
[ "MIT" ]
1
2022-02-08T19:35:22.000Z
2022-02-08T19:35:22.000Z
backend/schemas/comment_like_schema.py
heshikirihasebe/fastapi-instagram-clone
7bc265a62160171c5c5c1b2f18b3c86833cb64e7
[ "MIT" ]
null
null
null
backend/schemas/comment_like_schema.py
heshikirihasebe/fastapi-instagram-clone
7bc265a62160171c5c5c1b2f18b3c86833cb64e7
[ "MIT" ]
null
null
null
from pydantic import BaseModel class RequestSchema(BaseModel): comment_id: int class ResponseSchema(BaseModel): is_liked: bool
17.125
32
0.781022
16
137
6.5625
0.8125
0
0
0
0
0
0
0
0
0
0
0
0.160584
137
7
33
19.571429
0.913043
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
0.2
0
1
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
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1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
0
0
3
ecf470a19606b4ce4d78fa6432cb082e866f7c5b
1,945
py
Python
dm_control/suite/primitives.py
wpumacay/dm_control
e13b6941470cd6be618b0cc004b8ea20d69429fe
[ "Apache-2.0" ]
null
null
null
dm_control/suite/primitives.py
wpumacay/dm_control
e13b6941470cd6be618b0cc004b8ea20d69429fe
[ "Apache-2.0" ]
null
null
null
dm_control/suite/primitives.py
wpumacay/dm_control
e13b6941470cd6be618b0cc004b8ea20d69429fe
[ "Apache-2.0" ]
null
null
null
# Copyright 2017 The dm_control Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================ """Primitives domain (for testing purposes)""" from __future__ import absolute_import from __future__ import division from __future__ import print_function import collections # Internal dependencies. from dm_control import mujoco from dm_control.rl import control from dm_control.suite import base from dm_control.suite import common from dm_control.utils import containers import numpy as np _DEFAULT_TIME_LIMIT = 40 SUITE = containers.TaggedTasks() def get_model_and_assets(): """Returns a tuple containing the model XML string and a dict of assets.""" return common.read_model('primitives.xml'), common.ASSETS @SUITE.add('benchmarking', 'test') def test(time_limit=_DEFAULT_TIME_LIMIT, random=None): """Returns the easy point_mass task.""" physics = mujoco.Physics.from_xml_string(*get_model_and_assets()) task = Primitives(random=random) return control.Environment(physics, task, time_limit=time_limit) class Primitives(base.Task): """A test task for mujoco primitives""" def __init__(self, random=None): super(Primitives, self).__init__(random=random) def initialize_episode(self, physics): pass def get_observation(self, physics): obs = collections.OrderedDict() return obs def get_reward(self, physics): return 0.0
30.390625
78
0.737789
268
1,945
5.16791
0.470149
0.038989
0.046931
0.023105
0.034657
0
0
0
0
0
0
0.007203
0.143445
1,945
63
79
30.873016
0.82413
0.431877
0
0
0
0
0.028037
0
0
0
0
0
0
1
0.206897
false
0.034483
0.344828
0.034483
0.724138
0.034483
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
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0
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0
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0
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null
0
0
0
0
0
1
0
0
1
0
1
0
0
3
01bcf4694fddcd3d9ff256f4ba1b66e70b47f1f3
174
py
Python
src/chapter3/exercise 2.py
group5BCS1/BCS-2021
696b53bdfc46799b4a527604fbd6cd6cfb3982eb
[ "MIT" ]
null
null
null
src/chapter3/exercise 2.py
group5BCS1/BCS-2021
696b53bdfc46799b4a527604fbd6cd6cfb3982eb
[ "MIT" ]
null
null
null
src/chapter3/exercise 2.py
group5BCS1/BCS-2021
696b53bdfc46799b4a527604fbd6cd6cfb3982eb
[ "MIT" ]
null
null
null
try: hours = int(input("enter hours :")) rate=int(input("enter rate :")) pay = int(hours * rate) print("pay") except: print("Error, enter numeric input!")
24.857143
40
0.591954
23
174
4.478261
0.478261
0.15534
0.252427
0
0
0
0
0
0
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0.224138
174
7
40
24.857143
0.762963
0
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0.314286
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false
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1
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null
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0
0
0
0
0
0
0
0
3
01c02fb18c5d46f5a90f4f02fe24f31004bb3225
379
py
Python
pages/themes/beginners/OOP_advanced/examples/method_overriding.py
ProgressBG-Python-Course/ProgressBG-VC2-Python
03b892a42ee1fad3d4f97e328e06a4b1573fd356
[ "MIT" ]
null
null
null
pages/themes/beginners/OOP_advanced/examples/method_overriding.py
ProgressBG-Python-Course/ProgressBG-VC2-Python
03b892a42ee1fad3d4f97e328e06a4b1573fd356
[ "MIT" ]
null
null
null
pages/themes/beginners/OOP_advanced/examples/method_overriding.py
ProgressBG-Python-Course/ProgressBG-VC2-Python
03b892a42ee1fad3d4f97e328e06a4b1573fd356
[ "MIT" ]
null
null
null
class Person(): """docstring for Person""" def __init__(self, name, age): self.name = name self.age = age def __str__(self): return "{} is {} years old".format(self.name, self.age) class Employee(Person): def __str__(self): return "{} is employee".format(self.name) maria = Person("Maria", 20) pesho = Employee("Pesho",25) print(maria) print(pesho)
18.95
59
0.646438
52
379
4.480769
0.403846
0.137339
0.094421
0.137339
0.154506
0
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0
0.012987
0.187335
379
19
60
19.947368
0.743506
0.05277
0
0.153846
0
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0
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1
0.230769
false
0
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0.153846
0.538462
0.153846
0
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null
0
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0
0
1
0
0
0
1
1
0
0
3
01c0efdc2aa9327183caece60d6ad9e5fee6b366
87
py
Python
rpi_d3m_primitives/featSelect/profiler.py
naiyuyin/rpi_d3m_primitives
f95553bee90916d241885d28fb71c8167116d9fa
[ "MIT" ]
1
2019-05-02T21:05:27.000Z
2019-05-02T21:05:27.000Z
rpi_d3m_primitives/featSelect/profiler.py
naiyuyin/rpi_d3m_primitives
f95553bee90916d241885d28fb71c8167116d9fa
[ "MIT" ]
1
2021-03-18T15:52:27.000Z
2021-03-26T17:54:04.000Z
rpi_d3m_primitives/featSelect/profiler.py
naiyuyin/rpi_d3m_primitives
f95553bee90916d241885d28fb71c8167116d9fa
[ "MIT" ]
null
null
null
import pstats p = pstats.Stats('times.txt') p.sort_stats('cumtime').print_stats(20)
21.75
39
0.724138
14
87
4.357143
0.714286
0
0
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0.103448
87
4
39
21.75
0.75641
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0.188235
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false
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0
0
0
1
0
0
0
0
3
01ca27d91088dd7bec765bb28f0e768dd211fabc
499
py
Python
UnitTests/ProxyTest.py
Valentijn1995/Kn0ckKn0ck
6339f7f0e02c9b63f62539784ec6719b3c94de72
[ "MIT" ]
null
null
null
UnitTests/ProxyTest.py
Valentijn1995/Kn0ckKn0ck
6339f7f0e02c9b63f62539784ec6719b3c94de72
[ "MIT" ]
null
null
null
UnitTests/ProxyTest.py
Valentijn1995/Kn0ckKn0ck
6339f7f0e02c9b63f62539784ec6719b3c94de72
[ "MIT" ]
null
null
null
from Proxies.DebugProxy import DebugProxy from Proxies.Proxy import ProxyError from Proxies.Protocols.NoProtocol import NoProtocol from unittest import TestCase class TestProxy(TestCase): def setUp(self): self._proxy = DebugProxy(False) def test_send_error(self): with self.assertRaises(ProxyError): self._proxy.send(NoProtocol(b"Hello World!")) def test_receive_error(self): with self.assertRaises(ProxyError): self._proxy.receive()
26.263158
57
0.719439
58
499
6.068966
0.431034
0.09375
0.073864
0.096591
0.272727
0.272727
0.272727
0.272727
0
0
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0
0.198397
499
18
58
27.722222
0.88
0
0
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0
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0
0.153846
1
0.230769
false
0
0.307692
0
0.615385
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null
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0
1
0
0
1
0
1
0
0
3
01cea2af1f36f82d33231118be8f61a9bbdc3f63
218
py
Python
python/physical/unit/bakers.py
afrl-quantum/physical
71de3f7895b9bc1a1e9969701ad6980c5676b294
[ "MIT" ]
1
2020-10-01T21:21:54.000Z
2020-10-01T21:21:54.000Z
python/physical/unit/bakers.py
afrl-quantum/physical
71de3f7895b9bc1a1e9969701ad6980c5676b294
[ "MIT" ]
null
null
null
python/physical/unit/bakers.py
afrl-quantum/physical
71de3f7895b9bc1a1e9969701ad6980c5676b294
[ "MIT" ]
2
2018-03-21T15:53:27.000Z
2018-07-26T09:29:37.000Z
from ..const import const class bakers(const): def __init__(self,prefix,unit): const.__init__(self,prefix + 'bakers') self.dozen = 13.0 self.doz = self.dozen self.dz = self.dozen
19.818182
46
0.610092
29
218
4.310345
0.517241
0.216
0.224
0
0
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0
0.018868
0.270642
218
10
47
21.8
0.767296
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1
0.142857
false
0
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0
0.428571
0
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null
1
1
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null
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0
0
0
0
0
0
0
0
0
3
01d1643ad620c5a4e0ab1873d5c574b82879369d
216
py
Python
apis_core/apis_entities/templatetags/apis_templatetags.py
sviatoplok/apis-core
c23718af2a51598e32684b9b954b594ceef1f0f7
[ "MIT" ]
1
2019-09-02T09:14:06.000Z
2019-09-02T09:14:06.000Z
apis_core/apis_entities/templatetags/apis_templatetags.py
sviatoplok/apis-core
c23718af2a51598e32684b9b954b594ceef1f0f7
[ "MIT" ]
null
null
null
apis_core/apis_entities/templatetags/apis_templatetags.py
sviatoplok/apis-core
c23718af2a51598e32684b9b954b594ceef1f0f7
[ "MIT" ]
null
null
null
from django import template register = template.Library() @register.inclusion_tag('apis_entities/apis_create_entities.html', takes_context=True) def apis_create_entities(context): values = {} return values
24
86
0.787037
27
216
6.037037
0.666667
0.122699
0.220859
0
0
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0
0
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0.12037
216
8
87
27
0.857895
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0.180556
0.180556
0
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0.166667
false
0
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null
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0
0
0
0
0
0
0
3
01d4a78a88187074b1fbd9f890bf0b1570c7abb4
989
py
Python
tests/test_editor_window.py
alexey4petrov/reinteract
3e17f469467d065ff0d1f7970815bb49e21ca457
[ "BSD-2-Clause" ]
1
2020-11-11T05:20:35.000Z
2020-11-11T05:20:35.000Z
tests/test_editor_window.py
alexey4petrov/reinteract
3e17f469467d065ff0d1f7970815bb49e21ca457
[ "BSD-2-Clause" ]
null
null
null
tests/test_editor_window.py
alexey4petrov/reinteract
3e17f469467d065ff0d1f7970815bb49e21ca457
[ "BSD-2-Clause" ]
null
null
null
#!/usr/bin/env python ######################################################################## # # Copyright 2008-2009 Owen Taylor # # This file is part of Reinteract and distributed under the terms # of the BSD license. See the file COPYING in the Reinteract # distribution for full details. # ######################################################################## #-------------------------------------------------------------------------------------- if __name__ == "__main__": #-------------------------------------------------------------------------------------- from test_utils import adjust_environment global_settings = adjust_environment() from reinteract.editor_window import EditorWindow a_window = EditorWindow() a_window.window.show() import gtk gtk.main() #-------------------------------------------------------------------------------------- pass ######################################################################
30.90625
91
0.364004
66
989
5.227273
0.712121
0.098551
0.110145
0
0
0
0
0
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0.009206
0.121335
989
31
92
31.903226
0.387802
0.469161
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false
0.111111
0.333333
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0.333333
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null
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1
1
0
0
0
0
3
01edbcc02dfa60cf6c6773bc7f71934bc01189de
6,898
py
Python
src/osyris/core/array.py
osyris-project/osyris
bff42d864a7d5d248f7023216e32fe97bc06dca6
[ "BSD-3-Clause" ]
2
2022-02-08T14:41:19.000Z
2022-02-08T14:41:51.000Z
src/osyris/core/array.py
osyris-project/osyris
bff42d864a7d5d248f7023216e32fe97bc06dca6
[ "BSD-3-Clause" ]
20
2022-01-24T09:34:14.000Z
2022-03-30T20:01:39.000Z
src/osyris/core/array.py
osyris-project/osyris
bff42d864a7d5d248f7023216e32fe97bc06dca6
[ "BSD-3-Clause" ]
null
null
null
# SPDX-License-Identifier: BSD-3-Clause # Copyright (c) 2022 Osyris contributors (https://github.com/osyris-project/osyris) import numpy as np from pint.quantity import Quantity from pint.errors import DimensionalityError from .base import Base from .tools import value_to_string from .. import units APPLY_OP_TO_UNIT = ("multiply", "true_divide", "sqrt", "power", "reciprocal") def _binary_op(op, lhs, rhs, strict=True, **kwargs): if not isinstance(rhs, lhs.__class__): try: rhs = lhs.__class__(rhs) except NotImplementedError: return NotImplemented if strict: rhs = rhs.to(lhs.unit) else: try: rhs = rhs.to(lhs.unit) except DimensionalityError: pass return op(lhs, rhs, **kwargs) class Array(Base): def __init__(self, values, unit=None, parent=None, name=""): if isinstance(values, Base): raise NotImplementedError("Cannot create Array from Array or Vector.") if isinstance(values, Quantity): if unit is not None: raise ValueError( "Cannot set unit when creating an Array from a Quantity.") self._array = values.magnitude self.unit = values.units else: self._array = values self.unit = units(unit) if not isinstance(self._array, np.ndarray): self._array = np.asarray(self._array) self.parent = parent self.name = name def __getitem__(self, slice_): return self.__class__(values=self._array[slice_], unit=self.unit, parent=self.parent, name=self.name) def __len__(self): if self._array.shape: return len(self._array) else: return 0 def __str__(self): name_str = "'" + self.name + "' " if len(self) == 0: values_str = "Value: " + value_to_string(self.values) else: values_str = "Min: " + value_to_string( self.min().values) + " Max: " + value_to_string(self.max().values) unit_str = " [{:~}] ".format(self.unit) shape_str = str(self.shape) return name_str + values_str + unit_str + shape_str def copy(self): return self.__class__(values=self._array.copy(), unit=units(self.unit), name=str(self.name)) @property def values(self): if not self._array.shape: return self._array[()] else: return self._array @values.setter def values(self, values_): self._array = values_ @property def norm(self): return self @property def ndim(self): return self._array.ndim @property def shape(self): return self._array.shape @property def dtype(self): return self._array.dtype def __add__(self, other): return _binary_op(np.add, self, other) def __iadd__(self, other): return _binary_op(np.add, self, other, out=self) def __sub__(self, other): return _binary_op(np.subtract, self, other) def __isub__(self, other): return _binary_op(np.subtract, self, other, out=self) def __mul__(self, other): return _binary_op(np.multiply, self, other, strict=False) def __imul__(self, other): return _binary_op(np.multiply, self, other, strict=False, out=self) def __truediv__(self, other): return _binary_op(np.divide, self, other, strict=False) def __itruediv__(self, other): return _binary_op(np.divide, self, other, strict=False, out=self) def __rmul__(self, other): return self * other def __rtruediv__(self, other): return np.reciprocal(self / other) def __pow__(self, number): return np.power(self, number) def __neg__(self): return np.negative(self) def __lt__(self, other): return _binary_op(np.less, self, other) def __le__(self, other): return _binary_op(np.less_equal, self, other) def __gt__(self, other): return _binary_op(np.greater, self, other) def __ge__(self, other): return _binary_op(np.greater_equal, self, other) def __eq__(self, other): return _binary_op(np.equal, self, other) def __ne__(self, other): return _binary_op(np.not_equal, self, other) def __and__(self, other): return _binary_op(np.logical_and, self, other) def __or__(self, other): return _binary_op(np.logical_or, self, other) def __xor__(self, other): return _binary_op(np.logical_xor, self, other) def __invert__(self): return np.logical_not(self) def to(self, unit): new_unit = units(unit) if self.unit == new_unit: return self ratio = (1.0 * self.unit).to(new_unit) / (1.0 * new_unit) return self.__class__(values=self._array * ratio.magnitude, unit=new_unit) def _maybe_array(self, arg): if isinstance(arg, self.__class__): return arg._array if isinstance(arg, Quantity): return arg.magnitude return arg def _extract_arrays_from_args(self, args): return tuple(self._maybe_array(a) for a in args) def _extract_arrays_from_kwargs(self, kwargs): return {key: self._extract_arrays_from_args(a) for key, a in kwargs.items()} def _maybe_unit(self, arg): if hasattr(arg, "unit"): return 1.0 * arg.unit if hasattr(arg, "units"): return 1.0 * arg.units return arg def _extract_units(self, args): return tuple(self._maybe_unit(a) for a in args) def _wrap_numpy(self, func, *args, **kwargs): if isinstance(args[0], (tuple, list)): array_args = (self._extract_arrays_from_args( args[0]), ) + self._extract_arrays_from_args(args[1:]) else: array_args = self._extract_arrays_from_args(args) result = func(*array_args, **self._extract_arrays_from_kwargs(kwargs)) unit = None if result.dtype in (int, float): if func.__name__ in APPLY_OP_TO_UNIT: unit = func(*self._extract_units(args), **{key: a for key, a in kwargs.items() if key != "out"}).units else: unit = self.unit if "out" in kwargs: kwargs["out"][0].unit = unit return kwargs["out"][0] else: return self.__class__(values=result, unit=unit) def reshape(self, *shape): return self.__class__(values=self._array.reshape(*shape), unit=self.unit) @property def nbytes(self): return self._array.nbytes
29.991304
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6,898
4.423256
0.169767
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0.074921
0.093849
0.293375
0.272082
0.1898
0.116193
0.096215
0.054679
0
0.004143
0.300087
6,898
229
85
30.122271
0.783761
0.017251
0
0.125
0
0
0.027155
0
0
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0
0
0
1
0.244318
false
0.005682
0.034091
0.1875
0.568182
0
0
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0
null
0
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0
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0
0
1
0
0
0
1
1
0
0
3
01fd886cb003ce0ab587b3fc0b869e26c98aa84f
631
py
Python
problem/models/status.py
pwqbot/eoj3
46be6a6f192798e74eab7b327bb8df7ca73575d9
[ "MIT" ]
107
2017-03-15T11:53:45.000Z
2019-09-06T11:23:44.000Z
problem/models/status.py
OS-EDU/eoj3
f117dcd4e3cea7d150c3e3794e7255e00d486c88
[ "MIT" ]
27
2019-09-24T12:44:48.000Z
2022-03-11T23:18:21.000Z
problem/models/status.py
OS-EDU/eoj3
f117dcd4e3cea7d150c3e3794e7255e00d486c88
[ "MIT" ]
25
2019-10-11T10:39:12.000Z
2022-03-18T05:15:57.000Z
from django.db import models from account.models import User class UserStatus(models.Model): user = models.ForeignKey(User, on_delete=models.CASCADE, related_name="submission_status") contest_id = models.PositiveIntegerField(db_index=True) total_count = models.PositiveIntegerField() total_list = models.TextField(blank=True) ac_count = models.PositiveIntegerField() ac_distinct_count = models.PositiveIntegerField() ac_list = models.TextField(blank=True) predict_list = models.TextField(blank=True) update_time = models.DateTimeField(auto_now=True) class Meta: unique_together = ('user', 'contest_id')
33.210526
92
0.784469
78
631
6.141026
0.5
0.217119
0.194154
0.150313
0.175365
0
0
0
0
0
0
0
0.115689
631
18
93
35.055556
0.858423
0
0
0
0
0
0.049128
0
0
0
0
0
0
1
0
false
0
0.142857
0
0.928571
0
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null
1
1
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0
0
0
0
0
0
1
0
0
3
bf13d7b06159163175095faeb002b38702211e0b
2,799
py
Python
kikimr/public/api/grpc/ydb_export_v1_pb2_grpc.py
MihanixA/ydb-python-sdk
d1b93c6d2409a87c350acd604915576891d1e4f3
[ "Apache-2.0" ]
19
2019-07-01T08:25:29.000Z
2022-01-26T14:46:51.000Z
kikimr/public/api/grpc/ydb_export_v1_pb2_grpc.py
MihanixA/ydb-python-sdk
d1b93c6d2409a87c350acd604915576891d1e4f3
[ "Apache-2.0" ]
5
2019-07-02T13:36:42.000Z
2021-09-14T06:46:48.000Z
kikimr/public/api/grpc/ydb_export_v1_pb2_grpc.py
MihanixA/ydb-python-sdk
d1b93c6d2409a87c350acd604915576891d1e4f3
[ "Apache-2.0" ]
10
2019-06-07T10:36:19.000Z
2021-10-15T08:58:11.000Z
# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! import grpc from kikimr.public.api.protos import ydb_export_pb2 as kikimr_dot_public_dot_api_dot_protos_dot_ydb__export__pb2 class ExportServiceStub(object): # missing associated documentation comment in .proto file pass def __init__(self, channel): """Constructor. Args: channel: A grpc.Channel. """ self.ExportToYt = channel.unary_unary( '/Ydb.Export.V1.ExportService/ExportToYt', request_serializer=kikimr_dot_public_dot_api_dot_protos_dot_ydb__export__pb2.ExportToYtRequest.SerializeToString, response_deserializer=kikimr_dot_public_dot_api_dot_protos_dot_ydb__export__pb2.ExportToYtResponse.FromString, ) self.ExportToS3 = channel.unary_unary( '/Ydb.Export.V1.ExportService/ExportToS3', request_serializer=kikimr_dot_public_dot_api_dot_protos_dot_ydb__export__pb2.ExportToS3Request.SerializeToString, response_deserializer=kikimr_dot_public_dot_api_dot_protos_dot_ydb__export__pb2.ExportToS3Response.FromString, ) class ExportServiceServicer(object): # missing associated documentation comment in .proto file pass def ExportToYt(self, request, context): """Exports data to YT. Method starts an asynchronous operation that can be cancelled while it is in progress. """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def ExportToS3(self, request, context): """Exports data to S3. Method starts an asynchronous operation that can be cancelled while it is in progress. """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def add_ExportServiceServicer_to_server(servicer, server): rpc_method_handlers = { 'ExportToYt': grpc.unary_unary_rpc_method_handler( servicer.ExportToYt, request_deserializer=kikimr_dot_public_dot_api_dot_protos_dot_ydb__export__pb2.ExportToYtRequest.FromString, response_serializer=kikimr_dot_public_dot_api_dot_protos_dot_ydb__export__pb2.ExportToYtResponse.SerializeToString, ), 'ExportToS3': grpc.unary_unary_rpc_method_handler( servicer.ExportToS3, request_deserializer=kikimr_dot_public_dot_api_dot_protos_dot_ydb__export__pb2.ExportToS3Request.FromString, response_serializer=kikimr_dot_public_dot_api_dot_protos_dot_ydb__export__pb2.ExportToS3Response.SerializeToString, ), } generic_handler = grpc.method_handlers_generic_handler( 'Ydb.Export.V1.ExportService', rpc_method_handlers) server.add_generic_rpc_handlers((generic_handler,))
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3
bf13dd6f3eb3e631d63b8f42c16662040632e2a7
3,333
py
Python
aurora.py
miriad/nanoleaf-aurora-python
d05088f16f229b4f33d4d82c97d2add4a16894dd
[ "Apache-2.0" ]
null
null
null
aurora.py
miriad/nanoleaf-aurora-python
d05088f16f229b4f33d4d82c97d2add4a16894dd
[ "Apache-2.0" ]
null
null
null
aurora.py
miriad/nanoleaf-aurora-python
d05088f16f229b4f33d4d82c97d2add4a16894dd
[ "Apache-2.0" ]
null
null
null
# aurora.py - Nanoleaf Aurora python library # # Copyright 2017 Zachary Cornelius # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import requests import json from pprint import pprint class Aurora: def __init__(self, auth_token, address, port=16021): self.auth_token = auth_token self.address = address self.port = port self.uri_base = "http://%s:%d/api/v1/%s" % (address, port, auth_token) def _get_json(self, path): uri = "%s%s" % (self.uri_base, path) r = requests.get(uri) if r.ok: return r.json() else: r.raise_for_status() def _put_json(self, path, data): uri = "%s%s" % (self.uri_base, path) print("PUT'ing to URI %s with data %s" % (uri, json.dumps(data))) r = requests.put(uri, data=json.dumps(data)) if r.ok: return True else: r.raise_for_status() def get_info(self): return self._get_json("") def get_effects(self): return self._get_json("/effects/effectsList") def get_state(self): return self._get_json("/state") def get_power(self): return self._get_json("/state/on")["value"] def get_brightness(self): return self._get_json("/state/brightness")["value"] def get_brightness_max(self): return self._get_json("/state/brightness")['max'] def get_brightness_min(self): return self._get_json("/state/brightness")['min'] def set_brightness(self, new_brightness): self._put_json("/state/brightness", {"brightness": {"value": int(new_brightness)}}) return self.get_brightness() def increment_brightness(self, brightness_increment): self._put_json("/state/brightness", {"brightness": {"incrememnt": int(brightness_increment)}}) return self.get_brightness() def get_hue(self): return self._get_json("/state/hue")["value"] def get_hue_max(self): return self._get_json("/state/hue")["max"] def get_hue_min(self): return self._get_json("/state/hue")["min"] def set_hue(self, new_hue): self._put_json("/state/hue", {"hue": {"value": int(new_hue)}}) return self.get_hue() def increment_hue(self, hue_increment): self._put_json("/state/hue", {"hue": {"increment": int(hue_increment)}}) return self.get_hue() def delete_auth_token(self): r = requests.delete(self.uri_base) if r.ok: return True else: r.raise_for_status() @staticmethod def get_auth_token(address, port=16021): uri = "http://%s:%d/api/v1/new" % (address, port) r = requests.post(uri) if r.ok: return r.json()["auth_token"] else: r.raise_for_status()
30.577982
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0.626163
452
3,333
4.424779
0.267699
0.07
0.091
0.085
0.3935
0.273
0.1765
0.034
0.034
0.034
0
0.007943
0.244524
3,333
108
103
30.861111
0.786338
0.185119
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0.271429
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0
0.042857
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0.585714
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0
1
0
0
0
1
1
0
0
3
bf2eb22f2faeb74dacca055961c338188be8c5ba
123
py
Python
tests/syntax/assign_to_debug2.py
matan-h/friendly
3ab0fc6541c837271e8865e247750007acdd18fb
[ "MIT" ]
287
2019-04-08T13:18:29.000Z
2021-03-14T19:10:21.000Z
tests/syntax/assign_to_debug2.py
matan-h/friendly
3ab0fc6541c837271e8865e247750007acdd18fb
[ "MIT" ]
191
2019-04-08T14:39:18.000Z
2021-03-14T22:14:56.000Z
tests/syntax/assign_to_debug2.py
matan-h/friendly
3ab0fc6541c837271e8865e247750007acdd18fb
[ "MIT" ]
9
2019-04-08T12:54:08.000Z
2020-11-20T02:26:27.000Z
"""Should raise SyntaxError: cannot assign to __debug__ in Py 3.8 and assignment to keyword before.""" a.__debug__ = 1
24.6
65
0.731707
19
123
4.315789
0.894737
0
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0
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0.029703
0.178862
123
4
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null
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0
1
0
0
0
0
0
0
3
bf3959165cfb6c5f3c2f6e23ef5118b2f1dfcfaf
5,968
py
Python
tests/measurement_test.py
GerasimovRM/influxalchemy
c6527dc99f18f58da0d2f6602759be40f24d4b44
[ "MIT" ]
42
2016-08-16T11:36:10.000Z
2022-02-14T15:50:53.000Z
tests/measurement_test.py
GerasimovRM/influxalchemy
c6527dc99f18f58da0d2f6602759be40f24d4b44
[ "MIT" ]
10
2017-02-01T16:16:06.000Z
2022-01-21T23:25:22.000Z
tests/measurement_test.py
GerasimovRM/influxalchemy
c6527dc99f18f58da0d2f6602759be40f24d4b44
[ "MIT" ]
6
2016-10-26T13:10:21.000Z
2021-02-19T10:27:07.000Z
""" InfluxAlchemy Measurements. """ from datetime import datetime from influxalchemy.measurement import Measurement from influxalchemy.meta import Tag from influxalchemy.meta import TagExp from influxalchemy.operations import EQ from influxalchemy.operations import NE from influxalchemy.operations import GT from influxalchemy.operations import LT from influxalchemy.operations import GE from influxalchemy.operations import LE from influxalchemy.operations import LK from influxalchemy.operations import NK def test_meta_getattr(): meas = Measurement.new("fizz") assert meas.buzz == Tag("buzz", meas) def test_meta_str(): meas = Measurement.new("fizz") assert str(meas) == "fizz" def test_meta_ne(): meas0 = Measurement.new("fizz") meas1 = Measurement.new("buzz") assert meas0 != meas1 def test_meta_or(): meas0 = Measurement.new("fizz") meas1 = Measurement.new("buzz") assert (meas0 | meas1) == Measurement.new("/fizz|buzz/") def test_meta_measurement(): meas = Measurement.new("fizz") assert meas == meas.measurement class Fizz(Measurement): __measurement__ = "fizz" def test_new(): assert Measurement.new("fizz") == Fizz def test_tag_init(): meas = Measurement.new("fizz") tag = Tag("buzz", meas) assert tag == meas.buzz def test_tag_str(): meas = Measurement.new("fizz") tag = Tag("buzz", meas) assert str(tag) == "buzz" def test_tag_repr(): meas = Measurement.new("fizz") tag = Tag("buzz", meas) assert repr(tag) == "<fizz.buzz>" def test_tag_eq(): meas = Measurement.new("fizz") tag = Tag("buzz", meas) exp = tag == "foo" assert exp == TagExp("buzz", EQ, "foo") def test_tag_ne(): meas = Measurement.new("fizz") tag = Tag("buzz", meas) exp = tag != "foo" assert exp == TagExp("buzz", NE, "foo") def test_tag_gt(): meas = Measurement.new("fizz") tag = Tag("buzz", meas) exp = tag > "foo" assert exp == TagExp("buzz", GT, "foo") def test_tag_lt(): meas = Measurement.new("fizz") tag = Tag("buzz", meas) exp = tag < "foo" assert exp == TagExp("buzz", LT, "foo") def test_tag_ge(): meas = Measurement.new("fizz") tag = Tag("buzz", meas) exp = tag >= "foo" assert exp == TagExp("buzz", GE, "foo") def test_tag_le(): meas = Measurement.new("fizz") tag = Tag("buzz", meas) exp = tag <= "foo" assert exp == TagExp("buzz", LE, "foo") def test_tag_like(): meas = Measurement.new("fizz") tag = Tag("buzz", meas) exp = tag.like("foo") assert exp == TagExp("buzz", LK, "foo") def test_tag_notlike(): meas = Measurement.new("fizz") tag = Tag("buzz", meas) exp = tag.notlike("foo") assert exp == TagExp("buzz", NK, "foo") def test_time_between(): meas = Measurement.new("fizz") exp = meas.time.between("'2016-01-01'", "now() - 7d") assert exp == \ TagExp(meas.time, " >= ", "'2016-01-01'") & \ TagExp(meas.time, " <= ", "now() - 7d") def test_time_between_excl(): meas = Measurement.new("fizz") exp = meas.time.between("'2016-01-01'", "now() - 7d", False, False) assert exp == \ TagExp(meas.time, " > ", "'2016-01-01'") & \ TagExp(meas.time, " < ", "now() - 7d") def test_time_between_dt(): meas = Measurement.new("fizz") d = datetime(2016, 1, 1) exp = meas.time.between(d, "now() - 7d") assert exp == \ TagExp(meas.time, " >= ", d) & \ TagExp(meas.time, " <= ", "now() - 7d") def test_exp_init(): meas = Measurement.new("fizz") exp = TagExp(meas.buzz, " = ", "goo") assert exp._left == meas.buzz assert exp._op == " = " assert exp._right == "'goo'" def test_exp_str(): meas = Measurement.new("fizz") exp = TagExp(meas.buzz, " = ", "goo") assert str(exp) == "buzz = 'goo'" def test_exp_repr(): meas = Measurement.new("fizz") exp = TagExp(meas.buzz, " = ", "goo") assert repr(exp) == "[ buzz = 'goo' ]" def test_exp_ne(): meas = Measurement.new("fizz") exp0 = TagExp(meas.buzz, " = ", "goo") exp1 = TagExp(meas.guzz, " = ", "zoo") assert exp0 != exp1 def test_exp_and(): meas = Measurement.new("fizz") exp0 = TagExp(meas.buzz, " = ", "goo") exp1 = TagExp(meas.guzz, " = ", "zoo") assert (exp0 & exp1) == \ TagExp("buzz = 'goo'", " AND ", "guzz = 'zoo'") def test_exp_or(): meas = Measurement.new("fizz") exp0 = TagExp(meas.buzz, " = ", "goo") exp1 = TagExp(meas.guzz, " = ", "zoo") assert (exp0 | exp1) == \ TagExp("buzz = 'goo'", " OR ", "guzz = 'zoo'") def test_exp_inv(): meas = Measurement.new("fizz") exp = TagExp(meas.buzz, EQ, "goo") assert ~exp == TagExp(meas.buzz, NE, "'goo'") def test_equals(): meas = Measurement.new("fizz") exp = TagExp.equals(meas.buzz, "goo") assert exp == TagExp(meas.buzz, EQ, "goo") def test_notequals(): meas = Measurement.new("fizz") exp = TagExp.notequals(meas.buzz, "goo") assert exp == TagExp(meas.buzz, NE, "goo") def test_greater_than(): meas = Measurement.new("fizz") exp = TagExp.greater_than(meas.buzz, "goo") assert exp == TagExp(meas.buzz, GT, "goo") def test_less_than(): meas = Measurement.new("fizz") exp = TagExp.less_than(meas.buzz, "goo") assert exp == TagExp(meas.buzz, LT, "goo") def test_greater_equal(): meas = Measurement.new("fizz") exp = TagExp.greater_equal(meas.buzz, "goo") assert exp == TagExp(meas.buzz, GE, "goo") def test_less_equal(): meas = Measurement.new("fizz") exp = TagExp.less_equal(meas.buzz, "goo") assert exp == TagExp(meas.buzz, LE, "goo") def test_like(): meas = Measurement.new("fizz") exp = TagExp.like(meas.buzz, "goo") assert exp == TagExp(meas.buzz, LK, "goo") def test_notlike(): meas = Measurement.new("fizz") exp = TagExp.notlike(meas.buzz, "goo") assert exp == TagExp(meas.buzz, NK, "goo")
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71
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0.183882
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0.668558
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0.452327
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false
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1
0
0
0
0
0
0
0
3
1726d2567e3a91f86f1caaf7fd11dbe6ea6a1494
161
py
Python
np/reference/ch6code/pseudoinversion.py
focusunsink/study_python
322326642db54df8725793d70a95d21ac40b6507
[ "MIT" ]
null
null
null
np/reference/ch6code/pseudoinversion.py
focusunsink/study_python
322326642db54df8725793d70a95d21ac40b6507
[ "MIT" ]
null
null
null
np/reference/ch6code/pseudoinversion.py
focusunsink/study_python
322326642db54df8725793d70a95d21ac40b6507
[ "MIT" ]
null
null
null
import numpy as np A = np.mat("4 11 14;8 7 -2") print "A\n", A pseudoinv = np.linalg.pinv(A) print "Pseudo inverse\n", pseudoinv print "Check", A * pseudoinv
16.1
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1
0
3
173952435220a93ec84a74af4558313a84362688
1,460
py
Python
tfsnippet/modules/container/lambda_.py
897615138/tfsnippet-jill
2fc898a4def866c8d3c685168df1fa22083bb143
[ "MIT" ]
null
null
null
tfsnippet/modules/container/lambda_.py
897615138/tfsnippet-jill
2fc898a4def866c8d3c685168df1fa22083bb143
[ "MIT" ]
null
null
null
tfsnippet/modules/container/lambda_.py
897615138/tfsnippet-jill
2fc898a4def866c8d3c685168df1fa22083bb143
[ "MIT" ]
1
2020-02-08T15:33:41.000Z
2020-02-08T15:33:41.000Z
from ..base import Module __all__ = ['Lambda'] class Lambda(Module): """ Wrapping arbitrary function into a neural network :class:`Module`. This class wraps an arbitrary function or lambda expression into a neural network :class:`Module`, reusing the variables created within the specified function. For example, one may wrap :func:`tensorflow.contrib.layers.fully_connected` into a reusable module with :class:`Lambda` component as follows: .. code-block:: python import functools from tensorflow.contrib import layers dense = Lambda( functools.partial( layers.fully_connected, num_outputs=100, activation_fn=tf.nn.relu ) ) """ def __init__(self, f, name=None, scope=None): """ Construct the :class:`Lambda`. Args: f ((inputs, \**kwargs) -> outputs): The function or lambda expression which derives the outputs. name (str): Optional name of this module (argument of :class:`~tfsnippet.utils.VarScopeObject`). scope (str): Optional scope of this module (argument of :class:`~tfsnippet.utils.VarScopeObject`). """ super(Lambda, self).__init__(name=name, scope=scope) self._factory = f def _forward(self, inputs, **kwargs): return self._factory(inputs, **kwargs)
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0.025316
0.041427
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0.193326
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0.126582
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0.002915
0.295205
1,460
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false
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0
1
0
0
0
1
1
0
0
3
1741c93e41409ac97a6de4b0f30609e899e5373a
703
py
Python
app_portfolio_projects/models.py
MichaelDoctor/Portfolio
41d9104ef6d34f8eb146230b19038b445351c713
[ "MIT" ]
null
null
null
app_portfolio_projects/models.py
MichaelDoctor/Portfolio
41d9104ef6d34f8eb146230b19038b445351c713
[ "MIT" ]
4
2021-06-09T18:02:18.000Z
2022-01-13T03:06:24.000Z
app_portfolio_projects/models.py
MichaelDoctor/Portfolio
41d9104ef6d34f8eb146230b19038b445351c713
[ "MIT" ]
null
null
null
from django.db import models from datetime import datetime class Project(models.Model): class_name = models.CharField( max_length=150, default='col-lg-3 col-md-4 portfolio-item isotope-item' ) img = models.ImageField(upload_to='photos/%Y/%m/%d/') title = models.CharField(max_length=100) author = models.CharField(max_length=100) date_time = models.DateTimeField(default=datetime.now, blank=True) date = models.CharField(max_length=100, blank=True) content = models.TextField(max_length=200, blank=True) link = models.CharField(max_length=50, default='#') class Meta: ordering = ['id'] def __str__(self): return self.title
30.565217
70
0.688478
94
703
5.010638
0.553191
0.11465
0.191083
0.254777
0.171975
0
0
0
0
0
0
0.033333
0.189189
703
22
71
31.954545
0.792982
0
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0
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0.055556
false
0
0.111111
0.055556
0.777778
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0
0
0
0
0
0
0
1
0
0
3
174fe247d922831acdf4549e52f6dd777b13736b
165
py
Python
settings.py
ChunGaoY/vehicle-distance
b7a92a8f602b652bf34957f37071ebe70de92b81
[ "MIT" ]
60
2018-11-25T10:53:31.000Z
2021-09-05T09:55:34.000Z
settings.py
fuhao7i/Vehicle-Distance-Detection
b7a92a8f602b652bf34957f37071ebe70de92b81
[ "MIT" ]
3
2019-05-02T13:21:53.000Z
2021-06-04T07:39:12.000Z
settings.py
fuhao7i/Vehicle-Distance-Detection
b7a92a8f602b652bf34957f37071ebe70de92b81
[ "MIT" ]
30
2019-03-25T08:19:13.000Z
2021-09-13T08:51:02.000Z
CALIB_FILE_NAME = "calib.p" PERSPECTIVE_FILE_NAME = "projection.p" VIDEO_SIZE = 1280, 720 ORIGINAL_SIZE = 1280, 720 MODEL_SIZE = 608., 608. UNWARPED_SIZE = 500, 600
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py
Python
moto/transcribe/urls.py
orenmazor/moto
4778377e8ecaf729d26602a2c5202b72c1438503
[ "Apache-2.0" ]
1
2021-12-12T04:23:06.000Z
2021-12-12T04:23:06.000Z
moto/transcribe/urls.py
orenmazor/moto
4778377e8ecaf729d26602a2c5202b72c1438503
[ "Apache-2.0" ]
4
2017-09-30T07:52:52.000Z
2021-12-13T06:56:55.000Z
moto/transcribe/urls.py
orenmazor/moto
4778377e8ecaf729d26602a2c5202b72c1438503
[ "Apache-2.0" ]
2
2021-11-24T08:05:43.000Z
2021-11-25T16:18:48.000Z
from __future__ import unicode_literals from .responses import TranscribeResponse url_bases = ["https?://transcribe.(.+).amazonaws.com"] url_paths = {"{0}/$": TranscribeResponse.dispatch}
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176a76bbe9888382d9a3abc774dede79b852884a
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py
Python
setup.py
artizirk/noby
162716086fdaea53f08c623ae17751be29201246
[ "MIT" ]
1
2017-07-01T13:19:22.000Z
2017-07-01T13:19:22.000Z
setup.py
artizirk/noby
162716086fdaea53f08c623ae17751be29201246
[ "MIT" ]
5
2017-09-08T08:33:21.000Z
2019-02-05T09:03:58.000Z
setup.py
artizirk/noby
162716086fdaea53f08c623ae17751be29201246
[ "MIT" ]
2
2018-06-25T10:06:12.000Z
2021-03-09T17:03:18.000Z
#!/usr/bin/env python from setuptools import setup from noby import __version__ setup( version = __version__, entry_points = {'console_scripts': ['noby = noby:main']} )
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178953a7d7f87958ac58bb8129f5bfe80890531e
80
py
Python
.history/ClassFiles/DataTypes/Number_20201230220753.py
minefarmer/Comprehensive-Python
f97b9b83ec328fc4e4815607e6a65de90bb8de66
[ "Unlicense" ]
null
null
null
.history/ClassFiles/DataTypes/Number_20201230220753.py
minefarmer/Comprehensive-Python
f97b9b83ec328fc4e4815607e6a65de90bb8de66
[ "Unlicense" ]
null
null
null
.history/ClassFiles/DataTypes/Number_20201230220753.py
minefarmer/Comprehensive-Python
f97b9b83ec328fc4e4815607e6a65de90bb8de66
[ "Unlicense" ]
null
null
null
""" Number Data types Integers(int) Floating Point(float) Integer """
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178999d8d0f76b6ef43110aa3fd5e40618498d28
531
py
Python
qcloudsdkcam/ListGroupsForUserRequest.py
f3n9/qcloudcli
b965a4f0e6cdd79c1245c1d0cd2ca9c460a56f19
[ "Apache-2.0" ]
null
null
null
qcloudsdkcam/ListGroupsForUserRequest.py
f3n9/qcloudcli
b965a4f0e6cdd79c1245c1d0cd2ca9c460a56f19
[ "Apache-2.0" ]
null
null
null
qcloudsdkcam/ListGroupsForUserRequest.py
f3n9/qcloudcli
b965a4f0e6cdd79c1245c1d0cd2ca9c460a56f19
[ "Apache-2.0" ]
null
null
null
# -*- coding: utf-8 -*- from qcloudsdkcore.request import Request class ListGroupsForUserRequest(Request): def __init__(self): super(ListGroupsForUserRequest, self).__init__( 'cam', 'qcloudcliV1', 'ListGroupsForUser', 'cam.api.qcloud.com') def get_page(self): return self.get_params().get('page') def set_page(self, page): self.add_param('page', page) def get_rp(self): return self.get_params().get('rp') def set_rp(self, rp): self.add_param('rp', rp)
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3
bd6b63a4491d0865f3aaac155b3d650c899ee9d4
658
py
Python
language/python_rasa/personal/example_core/second/bot.py
Wabri/Notes
a194fbecf97f5b45157049693ae1741ec7f0a60b
[ "MIT" ]
9
2018-06-26T11:36:51.000Z
2021-07-26T10:47:42.000Z
language/python_rasa/personal/example_core/second/bot.py
Wabri/Notes
a194fbecf97f5b45157049693ae1741ec7f0a60b
[ "MIT" ]
3
2018-06-27T14:41:28.000Z
2018-07-12T08:08:47.000Z
language/python_rasa/personal/example_core/second/bot.py
Wabri/Notes
a194fbecf97f5b45157049693ae1741ec7f0a60b
[ "MIT" ]
2
2019-05-09T09:17:48.000Z
2021-07-26T10:47:44.000Z
from rasa_core import utils from rasa_core.actions import Action from rasa_core.agent import Agent from rasa_core.events import SlotSet from rasa_core.interpreter import RasaNLUInterpreter class RestaurantAPI(object): def search(self, info): return "papi's pizza place" class ActionSearchRestaurants(Action): def name(self): return 'action_ricerca_ristoranti' def run(self, dispatcher, tracker, domain): dispatcher.utter_message("Loocking for restaurants") restaurant_api = RestaurantAPI() restaurants = restaurant_api.search(tracker.get_slot("cucina")) return [SlotSet("matches", restaurants)]
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bd8d007c562528c72a6e2ea38f1cdd6e42955e00
321
py
Python
solutions/python3/732.py
sm2774us/amazon_interview_prep_2021
f580080e4a6b712b0b295bb429bf676eb15668de
[ "MIT" ]
42
2020-08-02T07:03:49.000Z
2022-03-26T07:50:15.000Z
solutions/python3/732.py
ajayv13/leetcode
de02576a9503be6054816b7444ccadcc0c31c59d
[ "MIT" ]
null
null
null
solutions/python3/732.py
ajayv13/leetcode
de02576a9503be6054816b7444ccadcc0c31c59d
[ "MIT" ]
40
2020-02-08T02:50:24.000Z
2022-03-26T15:38:10.000Z
class MyCalendarThree: def __init__(self): self.times = [] def book(self, start, end): bisect.insort(self.times, (start, 1)) bisect.insort(self.times, (end, -1)) res = cur = 0 for _, x in self.times: cur += x res = max(res, cur) return res
24.692308
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3
bd9928f8fbdba56af3a044655219e0495f9c037d
57
py
Python
make/photon/prepare/migrations/__init__.py
mjthomp95/harbor
d82dfaf11e3a4f52ed1d54c32b884a79290d477d
[ "Apache-2.0" ]
1
2019-06-06T02:39:40.000Z
2019-06-06T02:39:40.000Z
make/photon/prepare/migrations/__init__.py
koulq/harbor
fdb82ae4fa1d5e8987caa076feb7a61f5baae902
[ "Apache-2.0" ]
null
null
null
make/photon/prepare/migrations/__init__.py
koulq/harbor
fdb82ae4fa1d5e8987caa076feb7a61f5baae902
[ "Apache-2.0" ]
null
null
null
import os MIGRATION_BASE_DIR = os.path.dirname(__file__)
19
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4.555556
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3
bda67452945e02b8b6136af05f8303db562d88ee
583
py
Python
tests/test_webapp.py
patymori/packtools
ab6e2e2de1c9fcb25feabc55e571b8eddcbf3d14
[ "BSD-2-Clause" ]
8
2017-05-26T23:21:13.000Z
2019-11-23T17:38:17.000Z
tests/test_webapp.py
patymori/packtools
ab6e2e2de1c9fcb25feabc55e571b8eddcbf3d14
[ "BSD-2-Clause" ]
198
2015-01-26T16:34:03.000Z
2022-03-12T00:14:44.000Z
tests/test_webapp.py
patymori/packtools
ab6e2e2de1c9fcb25feabc55e571b8eddcbf3d14
[ "BSD-2-Clause" ]
13
2015-04-03T13:39:49.000Z
2021-09-12T11:58:39.000Z
import unittest import os from flask_testing import TestCase from packtools.webapp import app class TestWebAppTests(TestCase): def create_app(self): return app.create_app("packtools.webapp.config.default.TestingConfig") def test_packtools_stylechecker(self): response = self.client.get("/stylechecker") self.assertIn("SciELO Style Checker",response.data.decode("utf-8")) def test_packtools_preview_html(self): response = self.client.get("/previews") self.assertIn("SciELO HTML Previewer",response.data.decode("utf-8"))
22.423077
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3
bdaaad946f1b2ea96476d1fb7bf5639f8b9584bc
527
py
Python
July 2021/Count Vowels Permutation.py
parikshitgupta1/leetcode
eba6c11740dc7597204af127c0f4c2163376294f
[ "MIT" ]
null
null
null
July 2021/Count Vowels Permutation.py
parikshitgupta1/leetcode
eba6c11740dc7597204af127c0f4c2163376294f
[ "MIT" ]
null
null
null
July 2021/Count Vowels Permutation.py
parikshitgupta1/leetcode
eba6c11740dc7597204af127c0f4c2163376294f
[ "MIT" ]
null
null
null
class Solution: def countVowelPermutation(self, n: int) -> int: mod = 10**9 + 7 dp = [[0] * 5 for _ in range(n)] for j in range(5): dp[0][j] = 1 for i in range(1, n): dp[i][0] = (dp[i-1][1] + dp[i-1][2] + dp[i-1][4]) % mod dp[i][1] = (dp[i-1][0] + dp[i-1][2]) % mod dp[i][2] = (dp[i-1][1] + dp[i-1][3]) % mod dp[i][3] = (dp[i-1][2]) % mod dp[i][4] = (dp[i-1][2] + dp[i-1][3]) % mod return sum(dp[-1]) % mod
31
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bdd284e9c4e203861c2d0f8ae9f348617a8b36ef
184
py
Python
rabbitmq_client/exceptions.py
latonaio/rabbitmq-python-client
2e5146756b13016a6f6ccbe7f687fce79568841a
[ "MIT" ]
8
2021-10-01T07:10:58.000Z
2021-11-13T06:14:21.000Z
rabbitmq_client/exceptions.py
latonaio/rabbitmq-python-client
2e5146756b13016a6f6ccbe7f687fce79568841a
[ "MIT" ]
null
null
null
rabbitmq_client/exceptions.py
latonaio/rabbitmq-python-client
2e5146756b13016a6f6ccbe7f687fce79568841a
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- class RabbitmqClientError(Exception): pass class RabbitmqConnectionError(RabbitmqClientError): pass class QueueNotFoundError(RabbitmqClientError): pass
14.153846
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9.6
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3
bdd2e61d28268488ae73ba6d84ed974430a42926
1,094
py
Python
cliva_fl/utils/validation_buffer.py
DataManagementLab/thesis-fl_client-side_validation
0f6a35d08966133e6a8c13a110b9307d91f2d9cb
[ "MIT" ]
null
null
null
cliva_fl/utils/validation_buffer.py
DataManagementLab/thesis-fl_client-side_validation
0f6a35d08966133e6a8c13a110b9307d91f2d9cb
[ "MIT" ]
null
null
null
cliva_fl/utils/validation_buffer.py
DataManagementLab/thesis-fl_client-side_validation
0f6a35d08966133e6a8c13a110b9307d91f2d9cb
[ "MIT" ]
null
null
null
from cliva_fl.utils import ValidationSet class ValidationBuffer: def __init__(self, epoch, buffer_size): self.epoch = epoch self.buffer_size = buffer_size self.buffer = dict() def set_init_model_state(self, model): self.init_model_state_dict = { k: v.detach().clone().cpu() for k, v in model.state_dict().items() } def get_init_model_state(self): return self.init_model_state_dict def add(self, batch: int, vset: ValidationSet): assert not self.full(), 'Buffer is full and more items can not be added.' self.buffer[batch] = vset def get(self, batch: int): return self.buffer[batch] def keys(self): return self.buffer.keys() def values(self): return self.buffer.values() def items(self): return self.buffer.items() def full(self): return self.size() >= self.buffer_size def size(self): return len(self.buffer) def clear(self): del self.init_model_state_dict self.buffer.clear()
26.047619
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0.28245
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false
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0
3
bdd508385184a646cb52dea1ab5be8b54294a5e6
77
py
Python
login.py
xingchenyues/python18
49bf34ed98050f7be512f6cbbd43045ad0fdc888
[ "MIT" ]
null
null
null
login.py
xingchenyues/python18
49bf34ed98050f7be512f6cbbd43045ad0fdc888
[ "MIT" ]
null
null
null
login.py
xingchenyues/python18
49bf34ed98050f7be512f6cbbd43045ad0fdc888
[ "MIT" ]
null
null
null
def login(): return 'login info' a = 18 num1 = 30 num2 = 10 num2 = 20
5.923077
20
0.571429
13
77
3.384615
0.846154
0
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0.311688
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6.416667
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0
0
3
bdff2d438944d8aa88f687cc39b8e841091e0dc9
4,541
py
Python
backend/data_import/pipeline/label.py
stungkit/doccano
922d5f0e2f6ced6cd0d5ca7cafa0ae57cf07bea9
[ "MIT" ]
2,082
2018-05-09T07:16:21.000Z
2019-12-01T16:41:50.000Z
backend/data_import/pipeline/label.py
stungkit/doccano
922d5f0e2f6ced6cd0d5ca7cafa0ae57cf07bea9
[ "MIT" ]
365
2018-07-31T13:49:05.000Z
2019-11-29T11:25:17.000Z
backend/data_import/pipeline/label.py
admariner/doccano
922d5f0e2f6ced6cd0d5ca7cafa0ae57cf07bea9
[ "MIT" ]
476
2018-08-17T06:43:57.000Z
2019-12-01T09:47:08.000Z
import abc import uuid from typing import Any, Optional from pydantic import UUID4, BaseModel, ConstrainedStr, NonNegativeInt, root_validator from .label_types import LabelTypes from examples.models import Example from label_types.models import CategoryType, LabelType, RelationType, SpanType from labels.models import Category as CategoryModel from labels.models import Label as LabelModel from labels.models import Relation as RelationModel from labels.models import Span as SpanModel from labels.models import TextLabel as TextLabelModel from projects.models import Project class NonEmptyStr(ConstrainedStr): min_length = 1 class Label(BaseModel, abc.ABC): id: int = -1 uuid: UUID4 example_uuid: UUID4 def __init__(self, **data): data["uuid"] = uuid.uuid4() super().__init__(**data) @abc.abstractmethod def __lt__(self, other): raise NotImplementedError() @classmethod def parse(cls, example_uuid: UUID4, obj: Any): raise NotImplementedError() @abc.abstractmethod def create_type(self, project: Project) -> Optional[LabelType]: raise NotImplementedError() @abc.abstractmethod def create(self, user, example: Example, types: LabelTypes, **kwargs) -> LabelModel: raise NotImplementedError def __hash__(self): return hash(tuple(self.dict())) class CategoryLabel(Label): label: NonEmptyStr def __lt__(self, other): return self.label < other.label @classmethod def parse(cls, example_uuid: UUID4, obj: Any): return cls(example_uuid=example_uuid, label=obj) def create_type(self, project: Project) -> Optional[LabelType]: return CategoryType(text=self.label, project=project) def create(self, user, example: Example, types: LabelTypes, **kwargs): return CategoryModel(uuid=self.uuid, user=user, example=example, label=types[self.label]) class SpanLabel(Label): label: NonEmptyStr start_offset: NonNegativeInt end_offset: NonNegativeInt def __lt__(self, other): return self.start_offset < other.start_offset @root_validator def check_start_offset_is_less_than_end_offset(cls, values): start_offset, end_offset = values.get("start_offset"), values.get("end_offset") if start_offset >= end_offset: raise ValueError("start_offset must be less than end_offset.") return values @classmethod def parse(cls, example_uuid: UUID4, obj: Any): if isinstance(obj, list) or isinstance(obj, tuple): columns = ["start_offset", "end_offset", "label"] obj = zip(columns, obj) return cls(example_uuid=example_uuid, **dict(obj)) elif isinstance(obj, dict): return cls(example_uuid=example_uuid, **obj) raise ValueError("SpanLabel.parse()") def create_type(self, project: Project) -> Optional[LabelType]: return SpanType(text=self.label, project=project) def create(self, user, example: Example, types: LabelTypes, **kwargs): return SpanModel( uuid=self.uuid, user=user, example=example, start_offset=self.start_offset, end_offset=self.end_offset, label=types[self.label], ) class TextLabel(Label): text: NonEmptyStr def __lt__(self, other): return self.text < other.text @classmethod def parse(cls, example_uuid: UUID4, obj: Any): return cls(example_uuid=example_uuid, text=obj) def create_type(self, project: Project) -> Optional[LabelType]: return None def create(self, user, example: Example, types: LabelTypes, **kwargs): return TextLabelModel(uuid=self.uuid, user=user, example=example, text=self.text) class RelationLabel(Label): from_id: int to_id: int type: NonEmptyStr def __lt__(self, other): return self.from_id < other.from_id @classmethod def parse(cls, example_uuid: UUID4, obj: Any): return cls(example_uuid=example_uuid, **obj) def create_type(self, project: Project) -> Optional[LabelType]: return RelationType(text=self.type, project=project) def create(self, user, example: Example, types: LabelTypes, **kwargs): return RelationModel( uuid=self.uuid, user=user, example=example, type=types[self.type], from_id=kwargs["id_to_span"][self.from_id], to_id=kwargs["id_to_span"][self.to_id], )
30.682432
97
0.676283
544
4,541
5.470588
0.167279
0.05914
0.047043
0.036962
0.483199
0.46707
0.407594
0.315188
0.299059
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0.003123
0.2244
4,541
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1
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0
0
3
da20dcff16fdb5aed074c40b7419e7ef2e8ce9ba
241
py
Python
release/scripts/mgear/animbits/cache_manager/__init__.py
yamahigashi/mgear4
d439a69bbdc0ec727cded924a616b14194dfbe00
[ "MIT" ]
72
2020-09-28T20:00:59.000Z
2022-03-25T14:35:14.000Z
release/scripts/mgear/animbits/cache_manager/__init__.py
Mikfr83/mgear4
2fa28080027f1004e8e0139ccf93f7ec2448b1fd
[ "MIT" ]
101
2020-09-28T19:53:53.000Z
2022-03-31T01:44:41.000Z
release/scripts/mgear/animbits/cache_manager/__init__.py
Mikfr83/mgear4
2fa28080027f1004e8e0139ccf93f7ec2448b1fd
[ "MIT" ]
32
2020-10-09T10:49:45.000Z
2022-03-31T08:27:37.000Z
""" ANIMATION CACHE MANAGER mGear's animation cache manager is a tool that allows generating a Alembic GPU cache representation of references rigs inside Autodesk Maya. :module: mgear.animbits.cache_manager.__init__ """ __version__ = 1.0
24.1
78
0.79668
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0.764706
0.196721
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9
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0
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0
0
0
3
da217da852a1f46c24a82a6831deb8486ccbca7a
522
py
Python
src/sima/simo/soilfriction.py
SINTEF/simapy
650b8c2f15503dad98e2bfc0d0788509593822c7
[ "MIT" ]
null
null
null
src/sima/simo/soilfriction.py
SINTEF/simapy
650b8c2f15503dad98e2bfc0d0788509593822c7
[ "MIT" ]
null
null
null
src/sima/simo/soilfriction.py
SINTEF/simapy
650b8c2f15503dad98e2bfc0d0788509593822c7
[ "MIT" ]
null
null
null
# Generated with SoilFriction # from enum import Enum from enum import auto class SoilFriction(Enum): """""" OPEN_COMPARTMENT = auto() SOIL_FRACTURE = auto() OPEN_COMPARTMENT_HORSLIDING = auto() def label(self): if self == SoilFriction.OPEN_COMPARTMENT: return "Open compartment" if self == SoilFriction.SOIL_FRACTURE: return "Soil fracture" if self == SoilFriction.OPEN_COMPARTMENT_HORSLIDING: return "Open compartment horizontal sliding"
29
60
0.668582
54
522
6.314815
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0.26393
0.158358
0.129032
0.193548
0
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522
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0.076923
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0
0
0
1
0
0
3
da3ca6db7224a5e99109c8982546475cfbb82a2c
156
py
Python
fesom2_prefect/__init__.py
pgierz/fesom2_prefect
504fd975ca84fa4e439ce56bebb5aee42bb6dbb3
[ "MIT" ]
null
null
null
fesom2_prefect/__init__.py
pgierz/fesom2_prefect
504fd975ca84fa4e439ce56bebb5aee42bb6dbb3
[ "MIT" ]
null
null
null
fesom2_prefect/__init__.py
pgierz/fesom2_prefect
504fd975ca84fa4e439ce56bebb5aee42bb6dbb3
[ "MIT" ]
null
null
null
"""fesom2_prefect - Prefect 1.0 Workflows For FESOM 2""" __version__ = "0.1.0" __author__ = "Paul Gierz <paul.gierz@awi.de>" from . import compile_fesom2
22.285714
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0.717949
24
156
4.25
0.708333
0.039216
0
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0.141026
156
6
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0
1
0
0
0
0
3
da4ecc1bca77282c0063c5b2345d6a284338c670
1,154
py
Python
components/topmenu/dropmenu.py
Solomon1999/kivystudio
1eeee68b1437bf4d26f6bb222dc6c127ca67ee58
[ "MIT" ]
1
2020-02-18T17:41:07.000Z
2020-02-18T17:41:07.000Z
components/topmenu/dropmenu.py
Solomon1999/kivystudio
1eeee68b1437bf4d26f6bb222dc6c127ca67ee58
[ "MIT" ]
null
null
null
components/topmenu/dropmenu.py
Solomon1999/kivystudio
1eeee68b1437bf4d26f6bb222dc6c127ca67ee58
[ "MIT" ]
null
null
null
from kivy.uix.dropdown import DropDown from kivy.uix.behaviors import ButtonBehavior from kivy.uix.boxlayout import BoxLayout from kivy.lang import Builder from kivystudio.behaviors import HoverBehavior from kivystudio.widgets.dropdown import DropDownBase import os filepath = os.path.dirname(__file__) Builder.load_file(os.path.join(filepath,'dropmenu.kv')) class MenuButton(HoverBehavior, ButtonBehavior, BoxLayout): pass class FileTopMenu(DropDownBase): def __init__(self, **k): super(FileTopMenu, self).__init__(**k) def open_file(self): pass def open_folder(self): pass def open_recent(self): pass def exit_window(self): pass def save(self): pass def save_all(self): pass def save_as(self): pass class EditTopMenu(DropDownBase): def __init__(self, **k): super(FileTopMenu, self).__init__(**k) class ViewTopMenu(DropDownBase): def __init__(self, **k): super(FileTopMenu, self).__init__(**k) class HelpTopMenu(DropDownBase): def __init__(self, **k): super(FileTopMenu, self).__init__(**k)
20.607143
59
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138
1,154
5.398551
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0.088591
0.12349
0.27651
0.27651
0.27651
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0.27651
0.27651
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1,154
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0.820485
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0.297297
false
0.216216
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0.621622
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0
1
0
1
0
0
1
0
0
3
da527eee402053793a4ed8f9b2a12009e60d0029
461
py
Python
tensorbox/__init__.py
SvenGronauer/tensorbox
8ca0da9a8fe345572bccdbda55bcd75f1bc1b28c
[ "MIT" ]
null
null
null
tensorbox/__init__.py
SvenGronauer/tensorbox
8ca0da9a8fe345572bccdbda55bcd75f1bc1b28c
[ "MIT" ]
null
null
null
tensorbox/__init__.py
SvenGronauer/tensorbox
8ca0da9a8fe345572bccdbda55bcd75f1bc1b28c
[ "MIT" ]
null
null
null
from gym.envs.registration import register """ Register custom environments at OpenAI Gym """ register( id='Sawtooth-v0', entry_point='tensorbox.data_driven_control.sawtooth_env:SawtoothWaveEnv', max_episode_steps=512, ) register( id='PT1System-v0', entry_point='tensorbox.data_driven_control.control_systems:PT1SystemEnv' ) register( id='PT2System-v0', entry_point='tensorbox.data_driven_control.control_systems:PT2SystemEnv' )
21.952381
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55
461
6.181818
0.545455
0.088235
0.105882
0.185294
0.417647
0.417647
0.417647
0.305882
0.305882
0
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0.123644
461
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true
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0
0
1
0
0
0
0
0
0
3
da68599db1b2b538f99b3e6d36625939515b56a7
301
py
Python
custom_auth_user/user/commands/register_command.py
westofpluto/django_custom_auth_user
e8dd1bbbdf943982d68a3183b4931a34b2b2c3f5
[ "MIT" ]
null
null
null
custom_auth_user/user/commands/register_command.py
westofpluto/django_custom_auth_user
e8dd1bbbdf943982d68a3183b4931a34b2b2c3f5
[ "MIT" ]
null
null
null
custom_auth_user/user/commands/register_command.py
westofpluto/django_custom_auth_user
e8dd1bbbdf943982d68a3183b4931a34b2b2c3f5
[ "MIT" ]
null
null
null
# -*- coding: utf-8 def register(user_store, email, username, first_name, last_name, password): """ Register command """ return user_store.create( email=email, username=username, first_name=first_name, last_name=last_name, password=password)
20.066667
75
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301
5.294118
0.470588
0.15
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0.188889
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0.004545
0.269103
301
14
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21.5
0.813636
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0
0
0
0
3
da7b72b5f2f0de1286212b0ee73492ee8a5b6c0e
323
py
Python
examples/play_tvz.py
Yousazoe/oxBot
f677595c97369ac0548329f074cd44b916a84848
[ "MIT" ]
null
null
null
examples/play_tvz.py
Yousazoe/oxBot
f677595c97369ac0548329f074cd44b916a84848
[ "MIT" ]
null
null
null
examples/play_tvz.py
Yousazoe/oxBot
f677595c97369ac0548329f074cd44b916a84848
[ "MIT" ]
null
null
null
from examples.zerg.zerg_rush import ZergRushBot from sc2 import maps from sc2.data import Race from sc2.main import run_game from sc2.player import Bot, Human def main(): run_game(maps.get("Abyssal Reef LE"), [Human(Race.Terran), Bot(Race.Zerg, ZergRushBot())], realtime=True) if __name__ == "__main__": main()
23.071429
109
0.736842
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323
4.54
0.52
0.123348
0
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0.145511
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13
110
24.846154
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0.111111
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1
0
0
3
da7d97d2654f6237585d311d4f1e8a33d9255ff3
3,113
py
Python
Wateks/filter_functions.py
jziemer1996/Wateks
362dc46abf4ab428d6ccce7a61ad879eddc07ef1
[ "MIT" ]
null
null
null
Wateks/filter_functions.py
jziemer1996/Wateks
362dc46abf4ab428d6ccce7a61ad879eddc07ef1
[ "MIT" ]
null
null
null
Wateks/filter_functions.py
jziemer1996/Wateks
362dc46abf4ab428d6ccce7a61ad879eddc07ef1
[ "MIT" ]
null
null
null
# ----------------------------------------FILTER FUNCTIONS MODULE----------------------------------- # # Module to filter the preprocessed raster stacks to minimize the influence of soil moisture a.s.o. # It is highly recommended to execute this module before analyzing the raster stack! # Make use of small filter sizes to smooth the curve not too much! # ------------------------------------------------------------------------------------------------- # def mean_filter(arr1d, kernel): """ reference: https://docs.scipy.org/doc/numpy/reference/generated/numpy.convolve.html simple mean filter for the time series applied along time axis in parallel_apply_along_axis() ---------- arr1d: numpy.array 1D array representing the time series for one pixel kernel: int should be set between 3 and 21 for best results, but values need to be uneven, e.g. {"kernel": 3} Returns ---------- numpy.ndarray returns mean-filtered numpy array """ import numpy as np kernel = (1 / float(kernel)) * np.ones(kernel) # !!! ATTENTION: np.convolve with mode set to "valid" will cut n//2 values (kernel size = n) off the beginning and # end of the time series, bigger kernel sizes produces shorter time series with more data loss. out = np.float32(np.convolve(arr1d, kernel, "valid")) return out def median_filter(arr1d, kernel): """ reference: https://docs.scipy.org/doc/scipy/reference/generated/scipy.signal.medfilt.html simple median filter for the time series applied along time axis in parallel_apply_along_axis() ---------- arr1d: numpy.array 1D array representing the time series for one pixel kernel: int should be set between 3 and 21 for best results, but values need to be uneven, e.g. {"kernel": 3} Returns ---------- numpy.ndarray returns median-filtered numpy array """ import scipy.signal as sig import numpy as np out = np.float32(sig.medfilt(arr1d, kernel_size=kernel)) return out def sobel_filter(arr1d, kernel): """ reference: https://docs.scipy.org/doc/numpy/reference/generated/numpy.convolve.html !!! STACK SHOULD BE MEDIAN-FILTERED BEFORE USE OF THIS FUNCTION !!! (simply use median_filter() first and use output as new input) simple sobel filter for the time series applied along time axis in parallel_apply_along_axis() ---------- arr1d: numpy.array 1D array representing the time series for one pixel kernel: int series of integers in a list, e. g. {"kernel": [-5, -5, 0, 5, 5]} should be set between 3 and 21 for best results, but values need to be uneven Returns ---------- numpy.ndarray returns sobel-filtered numpy array """ import numpy as np # !!! ATTENTION: np.convolve with mode set to "valid" will cut n//2 values (kernel size = n) off the beginning and # end of the time series, bigger kernel sizes produces shorter time series with more data loss. out = np.float32(np.convolve(arr1d, kernel, "valid")) return out
43.236111
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0.679131
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3
16f8578dccd9954dbd3b085c7b1d34bb1fc12bb0
153
py
Python
project/base/models.py
iMerica/dj-models-demo
f03837e1d26c5bc8de836937074df172c409b404
[ "MIT" ]
null
null
null
project/base/models.py
iMerica/dj-models-demo
f03837e1d26c5bc8de836937074df172c409b404
[ "MIT" ]
null
null
null
project/base/models.py
iMerica/dj-models-demo
f03837e1d26c5bc8de836937074df172c409b404
[ "MIT" ]
null
null
null
from djmodels.db import models class Person(models.Model): name = models.CharField(max_length=50) age = models.PositiveIntegerField(default=1)
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6
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3
16f98334081be427e864a05eb1f539f993125806
432
py
Python
bugtests/test125.py
doom38/jython_v2.2.1
0803a0c953c294e6d14f9fc7d08edf6a3e630a15
[ "CNRI-Jython" ]
null
null
null
bugtests/test125.py
doom38/jython_v2.2.1
0803a0c953c294e6d14f9fc7d08edf6a3e630a15
[ "CNRI-Jython" ]
null
null
null
bugtests/test125.py
doom38/jython_v2.2.1
0803a0c953c294e6d14f9fc7d08edf6a3e630a15
[ "CNRI-Jython" ]
null
null
null
""" Check reload of module. """ import support src = """ def fun2(): return %s """ def mk(v): f = open("test125m.py", "w") f.write(src % v) f.close() mk("1") import test125m from test125m import fun2 support.compare(fun2(), "1") import time time.sleep(2) mk("2") reload(test125m) support.compare(fun2(), "1") from test125m import fun2 support.compare(fun2(), "2") support.compare(test125m.fun2(), "2")
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432
4.269841
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0
0
0
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0
3
e52d61a4c3bcd02e9f551f0f66c7b5bdf56abfc5
488
py
Python
cli/utils.py
Exia-Aix-2016/Data-Project
f8f40cb001dbd74e630b42b930532a364ae0aa5d
[ "MIT" ]
null
null
null
cli/utils.py
Exia-Aix-2016/Data-Project
f8f40cb001dbd74e630b42b930532a364ae0aa5d
[ "MIT" ]
null
null
null
cli/utils.py
Exia-Aix-2016/Data-Project
f8f40cb001dbd74e630b42b930532a364ae0aa5d
[ "MIT" ]
null
null
null
from PyInquirer import Validator, ValidationError class NumberValidator(Validator): def validate(self, document): try: int(document.text) except ValueError: raise ValidationError( message='Please enter a number', cursor_position=len(document.text)) # Move cursor to end def whenMenu(m): return lambda answers: answers['menu'] == m def toInt(val): return int(val) def toFloat(val): return float(val)
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488
5.672727
0.690909
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21
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0
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0
0
1
1
0
0
3
e56ee79a471a4876911430d9c6d1d9700b957b1d
468
py
Python
backend/users/tests/utils.py
kindziora/doccano
68eac2e7d3a9cf720997074fba36ed2c151571b4
[ "MIT" ]
null
null
null
backend/users/tests/utils.py
kindziora/doccano
68eac2e7d3a9cf720997074fba36ed2c151571b4
[ "MIT" ]
null
null
null
backend/users/tests/utils.py
kindziora/doccano
68eac2e7d3a9cf720997074fba36ed2c151571b4
[ "MIT" ]
null
null
null
from django.contrib.auth import get_user_model from rest_framework.authtoken.models import Token def make_user(username: str = "bob"): user_model = get_user_model() user, _ = user_model.objects.get_or_create(username=username, password="pass") return user def get_user(id: int): user_model = get_user_model() return user_model.objects.get(id=id) def get_user_token(id: int): user = get_user(id) return Token.objects.create(user=user).key
31.2
82
0.745726
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468
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1
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0
1
0
0
3
e57ab65df21c3a0ad9c6c12c12d8d6ce90d2e99d
640
py
Python
homewizard_energy/errors.py
DCSBL/python-homewizard-energy
e3b08f8f5327e41f1cc2a0389b527ae9e94da80e
[ "Apache-2.0" ]
1
2022-02-28T14:06:08.000Z
2022-02-28T14:06:08.000Z
homewizard_energy/errors.py
DCSBL/python-homewizard-energy
e3b08f8f5327e41f1cc2a0389b527ae9e94da80e
[ "Apache-2.0" ]
32
2022-02-11T04:38:57.000Z
2022-03-30T04:43:11.000Z
homewizard_energy/errors.py
DCSBL/python-homewizard-energy
e3b08f8f5327e41f1cc2a0389b527ae9e94da80e
[ "Apache-2.0" ]
1
2022-03-14T08:44:08.000Z
2022-03-14T08:44:08.000Z
"""python-homewizard-energy errors.""" class HomeWizardEnergyException(Exception): """Base error for python-homewizard-energy.""" class RequestError(HomeWizardEnergyException): """Unable to fulfill request. Raised when host or API cannot be reached. """ class InvalidStateError(HomeWizardEnergyException): """Raised when the device is not in the correct state.""" class UnsupportedError(HomeWizardEnergyException): """Raised when the device is not supported from this library.""" class DisabledError(HomeWizardEnergyException): """Raised when device API is disabled. User has to enable API in app."""
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640
6.8
0.6
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0.159664
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0.205882
0.205882
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0.157813
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0.883117
0.503125
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0
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1
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3
e5b986b666f713cf7cd7e743ede00ca7199e5886
543
py
Python
store/utils/constants.py
rodrigoarenas456/Backend_Python
7f787723bb29637be8f4513f073a56d90e6a3316
[ "MIT" ]
1
2021-07-23T04:53:26.000Z
2021-07-23T04:53:26.000Z
store/utils/constants.py
rodrigo-arenas/Backend_Python
7f787723bb29637be8f4513f073a56d90e6a3316
[ "MIT" ]
1
2020-06-14T23:38:57.000Z
2020-06-14T23:38:57.000Z
store/utils/constants.py
rodrigo-arenas/Backend_Python
7f787723bb29637be8f4513f073a56d90e6a3316
[ "MIT" ]
null
null
null
# Generate key with openssl rand -hex 32 JWT_SECRET_KEY = "46e5c95a2d980476afb2d679b37bb2c8990c25b4ea1075514f67f62f77daf306" JWT_ALGORITHM = "HS256" JWT_EXPIRATION_MINUTES = 15 # TODO: Move to environment variables DB_HOST = 'localhost' DB_NAME = 'bookstore' DB_USER = 'postgres' DB_PASSWORD = 'postgres' DB_PORT = 5432 REDIS_URL = 'redis://localhost' TEST = True TEST_DB_HOST = 'localhost' TEST_DB_NAME = 'test_bookstore' TEST_DB_USER = 'postgres' TEST_DB_PASSWORD = 'postgres' TEST_DB_PORT = 5432 TEST_REDIS_URL = 'redis://localhost/1'
22.625
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543
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0
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3
e5c88a0025a9d579379f6ae8e1bf14b1bcc4f393
171
py
Python
tests/timezones/urls.py
bpeschier/django
f54c0ec06e390dc5bce95fdccbcb51d6423da4f9
[ "BSD-3-Clause" ]
null
null
null
tests/timezones/urls.py
bpeschier/django
f54c0ec06e390dc5bce95fdccbcb51d6423da4f9
[ "BSD-3-Clause" ]
null
null
null
tests/timezones/urls.py
bpeschier/django
f54c0ec06e390dc5bce95fdccbcb51d6423da4f9
[ "BSD-3-Clause" ]
1
2019-11-25T15:01:05.000Z
2019-11-25T15:01:05.000Z
from django.conf.urls import include, url from . import admin as tz_admin # NOQA: register tz_admin urlpatterns = [ url(r'^admin/', include(tz_admin.site.urls)), ]
21.375
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0.71345
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3
e5e09e6a1c6e9499683ec54b6dac83f509faf222
63,900
py
Python
tasks/crypto/numeric/task/secret.py
keltecc/ctfcup-2020-quals
a8d3702b3449c4e459e80aea781bed85175fee02
[ "MIT" ]
null
null
null
tasks/crypto/numeric/task/secret.py
keltecc/ctfcup-2020-quals
a8d3702b3449c4e459e80aea781bed85175fee02
[ "MIT" ]
null
null
null
tasks/crypto/numeric/task/secret.py
keltecc/ctfcup-2020-quals
a8d3702b3449c4e459e80aea781bed85175fee02
[ "MIT" ]
null
null
null
#!/usr/bin/env python3.7 import numpy as np key = np.matrix([ [8534, 9129, 9740, 3384, 3110, 16129, 15401, 12987, 3753, 12697, 10306, 9469, 14973, 15168, 3567, 4454, 13392, 1261, 12089, 8777, 5854, 6955, 12953, 5847, 1667, 2847, 12872, 5088, 6779, 502, 11055, 16209, 11007, 15250, 12842, 3324, 16223, 8843, 10701, 967, 9785, 10476, 2580, 7786, 2720, 6651, 4437, 7393, 11405, 12750, 13227, 6746, 324, 14980, 4382, 5432, 5395, 13554, 1691, 8317, 10882, 12371, 14656, 8791, 2379, 8871, 823, 2442, 15588, 4351, 10119, 8355, 1000, 8744, 11280, 2663, 4198, 2856, 15373, 3575, 4139, 8918, 2883, 14978, 5423, 10582, 2045, 1648, 10460, 10508, 14398, 137, 3762, 6467, 14364, 4309, 9657, 12747, 6027, 1032], [9040, 12256, 7665, 14523, 3335, 10112, 12926, 3669, 4985, 1305, 6317, 4547, 10996, 1759, 3879, 5825, 16373, 13670, 6025, 9312, 7230, 10069, 13915, 3246, 987, 16245, 3903, 14861, 12391, 11171, 11564, 6967, 3911, 4958, 10703, 11051, 10213, 979, 13251, 15845, 9760, 14340, 2905, 1571, 3027, 468, 10332, 6991, 2054, 4547, 16085, 5381, 8225, 3826, 14368, 2590, 14751, 107, 7271, 7398, 11016, 9695, 7575, 11158, 6365, 8517, 12179, 11498, 4561, 5455, 5443, 11333, 15789, 9633, 13801, 12780, 5707, 11048, 14398, 6754, 15508, 12802, 958, 3231, 14215, 14150, 11777, 4294, 15044, 14990, 599, 10129, 4817, 11188, 15998, 3941, 4890, 2877, 5385, 5205], [13659, 8394, 9814, 2227, 4801, 1818, 1570, 11176, 13808, 5871, 10304, 1112, 8301, 8336, 5116, 15040, 14774, 13105, 14693, 3779, 46, 1868, 10840, 11950, 4599, 12976, 15429, 13709, 9489, 10906, 1841, 13776, 3170, 11277, 6628, 14329, 8740, 15764, 12526, 7118, 7328, 11211, 15129, 10299, 111, 13201, 7291, 301, 13363, 7410, 5904, 6910, 11177, 12683, 5128, 7243, 671, 1166, 7862, 15106, 4145, 6345, 3584, 14584, 10666, 12255, 9132, 5115, 1438, 429, 10798, 2895, 9856, 15804, 11597, 15126, 16035, 1728, 11591, 11545, 14766, 10419, 6374, 8040, 1149, 5969, 1626, 13447, 8169, 9256, 5688, 14912, 10169, 99, 11215, 13440, 7713, 3364, 605, 2483], [7898, 3661, 8693, 10641, 14868, 8180, 6656, 10730, 12595, 797, 13564, 11955, 12954, 10783, 6367, 14772, 12791, 6192, 8860, 3308, 13282, 15956, 2364, 11147, 11941, 14223, 6321, 3263, 10223, 8744, 13327, 4435, 4579, 1148, 5672, 3082, 5031, 7718, 7722, 14385, 15422, 8946, 5985, 659, 6810, 9438, 7039, 15194, 7046, 10744, 10231, 1580, 6941, 17, 385, 3626, 5859, 7774, 5319, 12519, 12776, 8922, 5769, 15301, 1849, 7328, 9450, 14516, 15068, 1111, 10662, 15072, 13082, 3236, 6162, 12985, 15945, 12181, 14583, 3973, 6034, 1039, 9512, 7694, 402, 5632, 12401, 4018, 13956, 7021, 9250, 14310, 11234, 3263, 14239, 2174, 6905, 4339, 1013, 10956], [8900, 15338, 6979, 15027, 4280, 10399, 15532, 9791, 5123, 2286, 851, 13193, 12928, 6271, 9291, 5946, 6700, 12895, 2844, 4555, 2236, 9260, 8112, 14014, 12027, 11741, 7328, 5255, 3869, 1784, 16054, 15030, 6894, 8177, 3527, 2600, 11134, 13466, 13106, 1605, 10105, 4023, 8198, 16305, 1266, 6351, 5132, 1725, 6656, 3171, 3119, 15951, 9492, 11487, 13799, 5511, 13424, 11185, 11314, 7234, 9636, 10104, 1050, 9787, 1734, 12599, 4629, 13444, 15761, 16256, 7172, 5795, 559, 6775, 3323, 174, 13875, 8419, 15262, 2777, 4198, 7860, 11885, 12104, 12965, 4514, 11739, 16265, 2725, 6222, 7741, 10872, 5904, 3238, 14865, 15591, 1285, 5982, 11742, 8802], [1037, 13680, 5177, 6342, 6517, 656, 5772, 9643, 14889, 4757, 2381, 10234, 812, 1009, 881, 11234, 7187, 6080, 9457, 6235, 12746, 7989, 6370, 15096, 6929, 890, 13013, 7030, 7705, 9353, 224, 10728, 6889, 11082, 3117, 13893, 11320, 4754, 6717, 9403, 4865, 6312, 4503, 1106, 11515, 4543, 6731, 105, 2462, 11830, 2383, 15281, 11383, 12187, 1655, 8616, 2975, 2807, 14093, 10132, 4784, 4241, 16050, 4167, 1054, 14311, 6611, 13999, 9242, 2514, 12545, 15656, 3116, 14864, 577, 11878, 1310, 3363, 43, 3799, 216, 11321, 1145, 2087, 11056, 11086, 8374, 7925, 7946, 10493, 14561, 583, 13217, 8266, 2010, 15278, 11675, 6119, 9346, 12695], [4466, 7067, 9334, 10324, 1759, 15635, 16, 3596, 4553, 7698, 3321, 8738, 11866, 13629, 9303, 9835, 7116, 16357, 774, 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591.666667
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3
e5e2b191812e3848da4d017234d62614f7a5925f
1,248
py
Python
BOJ11800.py
INYEONGKIM/BOJ
5e83d77a92d18b0d20d26645c7cfe4ba3e2d25bc
[ "MIT" ]
2
2019-03-05T15:42:46.000Z
2019-07-24T15:52:36.000Z
BOJ11800.py
INYEONGKIM/BOJ
5e83d77a92d18b0d20d26645c7cfe4ba3e2d25bc
[ "MIT" ]
null
null
null
BOJ11800.py
INYEONGKIM/BOJ
5e83d77a92d18b0d20d26645c7cfe4ba3e2d25bc
[ "MIT" ]
null
null
null
n=int(input());r="" for i in range(1,n+1): s=input().strip() if s=="5 6" or s=="6 5": r+="Case "+str(i)+": Sheesh Beesh\n" else: a=[int(k) for k in s.split()] a.sort(reverse=True) if a[0]==a[1]: if a[0]==1: r+="Case "+str(i)+": Habb Yakk\n" elif a[0]==2: r += "Case " + str(i) + ": Dobara\n" elif a[0]==3: r += "Case " + str(i) + ": Dousa\n" elif a[0]==4: r += "Case " + str(i) + ": Dorgy\n" elif a[0]==5: r += "Case " + str(i) + ": Dabash\n" else: r += "Case " + str(i) + ": Dosh\n" else: r += "Case " + str(i)+": " for k in range(2): if a[k]==1: r+="Yakk" elif a[k]==2: r+="Doh" elif a[k]==3: r+="Seh" elif a[k]==4: r+="Ghar" elif a[k]==5: r+="Bang" else: r+="Sheesh" if k==0: r+=" " else: r+="\n" print(r,end="")
29.714286
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1,248
2.227848
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0.113636
0.181818
0.204545
0.136364
0.079545
0
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0.042017
0.523237
1,248
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3
e5fbf57c70916767996825a3c2fe2fba0aebf5ad
294
py
Python
lab0/student_code.py
YaelBenShalom/Intro-to-AI
37df1fc9316544338b8acfa5264316c4d5ce5915
[ "MIT" ]
null
null
null
lab0/student_code.py
YaelBenShalom/Intro-to-AI
37df1fc9316544338b8acfa5264316c4d5ce5915
[ "MIT" ]
null
null
null
lab0/student_code.py
YaelBenShalom/Intro-to-AI
37df1fc9316544338b8acfa5264316c4d5ce5915
[ "MIT" ]
null
null
null
def order(data): # new_data = [] for i in range(len(data)): for j in range(len(data) - 1): if (data[j] > data[j + 1]): temp_data_j = data[j] data[j] = data[j + 1] data[j + 1] = temp_data_j return data
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f9025cc207b024bd75ec0f503ac992e842fd018e
848
py
Python
loader/__init__.py
MikeLagunes/centroids-triplet-network
e6430c0b090ef04a31738502d056f9169fd70393
[ "MIT" ]
null
null
null
loader/__init__.py
MikeLagunes/centroids-triplet-network
e6430c0b090ef04a31738502d056f9169fd70393
[ "MIT" ]
null
null
null
loader/__init__.py
MikeLagunes/centroids-triplet-network
e6430c0b090ef04a31738502d056f9169fd70393
[ "MIT" ]
null
null
null
import json from loader.cnn_household import cnn_household from loader.triplet_resnet_household_softmax import triplet_resnet_household_softmax from loader.cnn_core50 import cnn_core50 from loader.triplet_resnet_core50_softmax import triplet_resnet_core50_softmax def get_loader(name): """get_loader :param name: """ return { 'cnn_household':cnn_household, 'triplet_resnet_household_softmax':triplet_resnet_household_softmax, 'cnn_core50':cnn_core50, 'triplet_resnet_core50_softmax': triplet_resnet_core50_softmax, }[name] #def get_data_path(name, config_file='../config.json'): def get_data_path(name, config_file='config.json'): """get_data_path :param name: :param config_file: """ data = json.load(open(config_file)) return data[name]['data_path']
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3
f908502920597ba157459fbecb55b8fb06e72a4c
446
py
Python
wagtail/documents/signal_handlers.py
wlcrs/wagtail
8afbc6c3eccef9eb0f09ed56c54cd36779451882
[ "BSD-3-Clause" ]
3
2019-05-14T13:43:08.000Z
2021-11-09T11:27:18.000Z
wagtail/documents/signal_handlers.py
denza/wagtail
3939397850f2c73d3f960cea5cc9c2cfae2d005d
[ "BSD-3-Clause" ]
163
2019-06-14T20:45:06.000Z
2022-03-23T01:41:07.000Z
wagtail/documents/signal_handlers.py
denza/wagtail
3939397850f2c73d3f960cea5cc9c2cfae2d005d
[ "BSD-3-Clause" ]
1
2021-05-11T00:05:26.000Z
2021-05-11T00:05:26.000Z
from django.db import transaction from django.db.models.signals import post_delete from wagtail.documents.models import get_document_model def post_delete_file_cleanup(instance, **kwargs): # Pass false so FileField doesn't save the model. transaction.on_commit(lambda: instance.file.delete(False)) def register_signal_handlers(): Document = get_document_model() post_delete.connect(post_delete_file_cleanup, sender=Document)
29.733333
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5.532258
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3
f92297e66062159f370ea1db59deb0882116ec70
170
py
Python
zocalo_dls/__init__.py
jacobfilik/python-zocalo-dls
57e73ff613ea1ac516b015edb37ea472c15200e2
[ "BSD-3-Clause" ]
null
null
null
zocalo_dls/__init__.py
jacobfilik/python-zocalo-dls
57e73ff613ea1ac516b015edb37ea472c15200e2
[ "BSD-3-Clause" ]
null
null
null
zocalo_dls/__init__.py
jacobfilik/python-zocalo-dls
57e73ff613ea1ac516b015edb37ea472c15200e2
[ "BSD-3-Clause" ]
null
null
null
from __future__ import absolute_import, division, print_function import logging __version__ = "0.2.0" logging.getLogger("zocalo_dls").addHandler(logging.NullHandler())
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3
f928f15006f9ec95c517b7886236786861dacafa
2,116
py
Python
tests/test_metadata.py
proio-org/py-proio
aa5202baf3ca958771b081f984a99927551a128c
[ "BSD-3-Clause" ]
1
2018-10-02T07:50:35.000Z
2018-10-02T07:50:35.000Z
tests/test_metadata.py
proio-org/py-proio
aa5202baf3ca958771b081f984a99927551a128c
[ "BSD-3-Clause" ]
4
2018-08-29T22:10:25.000Z
2018-09-26T20:31:28.000Z
tests/test_metadata.py
proio-org/py-proio
aa5202baf3ca958771b081f984a99927551a128c
[ "BSD-3-Clause" ]
1
2020-04-06T12:08:48.000Z
2020-04-06T12:08:48.000Z
import io import pytest import proio def test_header1(): buf = io.BytesIO(b'') with proio.Writer(fileobj = buf) as writer: event = proio.Event() writer.push(event) writer.push(event) writer.flush() writer.push(event) buf.seek(0, 0) with proio.Reader(fileobj = buf) as reader: reader.skip(0) assert(reader._bucket_header.nEvents == 2) reader.skip(2) assert(reader._bucket_header.nEvents == 1) reader.skip(1) assert(reader._bucket_header is None) def test_push_update1(): buf = io.BytesIO(b'') with proio.Writer(fileobj = buf) as writer: writer.push_metadata('key1', b'value1') writer.push_metadata('key2', b'value2') event = proio.Event() writer.push(event) writer.push_metadata('key2', b'value3') writer.push(event) writer.push_metadata('key1', b'value4') writer.push_metadata('key2', b'value5') writer.push(event) buf.seek(0, 0) with proio.Reader(fileobj = buf) as reader: event1 = next(reader) event2 = next(reader) event3 = next(reader) assert(event1.metadata['key1'] == b'value1') assert(event1.metadata['key2'] == b'value2') assert(event2.metadata['key1'] == b'value1') assert(event2.metadata['key2'] == b'value3') assert(event3.metadata['key1'] == b'value4') assert(event3.metadata['key2'] == b'value5') buf = io.BytesIO(b'') with proio.Writer(fileobj = buf) as writer: writer.push(event1) writer.push(event2) writer.push(event3) buf.seek(0, 0) with proio.Reader(fileobj = buf) as reader: event1 = next(reader) event2 = next(reader) event3 = next(reader) assert(event1.metadata['key1'] == b'value1') assert(event1.metadata['key2'] == b'value2') assert(event2.metadata['key1'] == b'value1') assert(event2.metadata['key2'] == b'value3') assert(event3.metadata['key1'] == b'value4') assert(event3.metadata['key2'] == b'value5')
31.117647
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0.595463
261
2,116
4.773946
0.16092
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0.0939
0.076244
0.838684
0.724719
0.691814
0.691814
0.627608
0.627608
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0.043093
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2,116
67
53
31.58209
0.746515
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3
008fba76401f61e8dc0ea4e76fbbb97a270231e8
259
py
Python
data_models/zoom_activity_data_model.py
panther-labs/panther-cli
4e5c0a21570e1a02dada990fd91e324416afac96
[ "MIT" ]
4
2019-10-17T19:33:29.000Z
2019-10-21T15:23:30.000Z
data_models/zoom_activity_data_model.py
jacknagz/panther-analysis
fceab78ba5624136776596ee1b25fa0dc8a02a42
[ "Apache-2.0" ]
null
null
null
data_models/zoom_activity_data_model.py
jacknagz/panther-analysis
fceab78ba5624136776596ee1b25fa0dc8a02a42
[ "Apache-2.0" ]
null
null
null
import panther_event_type_helpers as event_type def get_event_type(event): if event.get("type") == "Sign in": return event_type.SUCCESSFUL_LOGIN if event.get("type") == "Sign out": return event_type.SUCCESSFUL_LOGOUT return None
25.9
47
0.702703
37
259
4.648649
0.459459
0.261628
0.116279
0.162791
0.209302
0
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0.200772
259
9
48
28.777778
0.830918
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0
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3
009a4611ff0b925eb4d8cad017fff525cf9121b1
83
py
Python
tests/helpers.py
SebastiaanZ/aoc-2019
e1fe4630b0f375be0b79398e07e23b9c0196efbb
[ "MIT" ]
3
2019-12-02T19:38:14.000Z
2020-01-28T00:06:09.000Z
tests/helpers.py
SebastiaanZ/aoc-2019
e1fe4630b0f375be0b79398e07e23b9c0196efbb
[ "MIT" ]
6
2020-03-24T17:58:40.000Z
2022-03-12T00:18:45.000Z
tests/helpers.py
SebastiaanZ/aoc-2019
e1fe4630b0f375be0b79398e07e23b9c0196efbb
[ "MIT" ]
null
null
null
import collections Puzzle = collections.namedtuple("Puzzle", ("data", "answer"))
16.6
61
0.722892
8
83
7.5
0.75
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83
4
62
20.75
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1
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3
009dac2a08665ca4b87073c1b59cffd0ddf1eab2
63
py
Python
python/testData/refactoring/rename/renameLocalWithComprehension2_after.py
jnthn/intellij-community
8fa7c8a3ace62400c838e0d5926a7be106aa8557
[ "Apache-2.0" ]
2
2019-04-28T07:48:50.000Z
2020-12-11T14:18:08.000Z
python/testData/refactoring/rename/renameLocalWithComprehension2_after.py
Cyril-lamirand/intellij-community
60ab6c61b82fc761dd68363eca7d9d69663cfa39
[ "Apache-2.0" ]
173
2018-07-05T13:59:39.000Z
2018-08-09T01:12:03.000Z
python/testData/refactoring/rename/renameLocalWithComprehension2_after.py
Cyril-lamirand/intellij-community
60ab6c61b82fc761dd68363eca7d9d69663cfa39
[ "Apache-2.0" ]
2
2020-03-15T08:57:37.000Z
2020-04-07T04:48:14.000Z
bar = 2 elements = [x for x in range(5) if x == bar] print bar
15.75
44
0.619048
14
63
2.785714
0.714286
0
0
0
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0.042553
0.253968
63
3
45
21
0.787234
0
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null
null
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null
null
0.333333
1
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null
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0
0
0
0
0
0
0
0
3
00b6b87379e6f00b03f8138b4d0a28007e01a2f5
879
py
Python
notebook/list_flatten_timeit.py
puyopop/python-snippets
9d70aa3b2a867dd22f5a5e6178a5c0c5081add73
[ "MIT" ]
1
2020-07-18T17:58:43.000Z
2020-07-18T17:58:43.000Z
notebook/list_flatten_timeit.py
puyopop/python-snippets
9d70aa3b2a867dd22f5a5e6178a5c0c5081add73
[ "MIT" ]
null
null
null
notebook/list_flatten_timeit.py
puyopop/python-snippets
9d70aa3b2a867dd22f5a5e6178a5c0c5081add73
[ "MIT" ]
null
null
null
import itertools l_2d_5 = [[0, 1, 2]] * 5 print(l_2d_5) # [[0, 1, 2], [0, 1, 2], [0, 1, 2], [0, 1, 2], [0, 1, 2]] %%timeit list(itertools.chain.from_iterable(l_2d_5)) # 711 ns ± 21.2 ns per loop (mean ± std. dev. of 7 runs, 1000000 loops each) %%timeit sum(l_2d_5, []) # 448 ns ± 10.8 ns per loop (mean ± std. dev. of 7 runs, 1000000 loops each) l_2d_100 = [[0, 1, 2]] * 100 %%timeit list(itertools.chain.from_iterable(l_2d_100)) # 7.27 µs ± 390 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each) %%timeit sum(l_2d_100, []) # 41 µs ± 1.34 µs per loop (mean ± std. dev. of 7 runs, 10000 loops each) l_2d_10000 = [[0, 1, 2]] * 10000 %%timeit list(itertools.chain.from_iterable(l_2d_10000)) # 513 µs ± 15.5 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each) %%timeit sum(l_2d_10000, []) # 418 ms ± 22.8 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)
25.852941
76
0.631399
192
879
2.833333
0.244792
0.055147
0.044118
0.132353
0.715074
0.715074
0.595588
0.595588
0.380515
0.334559
0
0.200849
0.195677
879
33
77
26.636364
0.551627
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0
0
0
0
0
0
0
3
00b75d7c6b8b5487e5f4facc5c4b54803d9443c1
599
py
Python
pymongo/pymongo_connect.py
yunzhang599/Python3_Package_Examples
3e479925f3f6818bf35e46123f720839acf075eb
[ "MIT" ]
1
2019-11-16T05:06:01.000Z
2019-11-16T05:06:01.000Z
pymongo/pymongo_connect.py
yunzhang599/Python3_Package_Examples
3e479925f3f6818bf35e46123f720839acf075eb
[ "MIT" ]
null
null
null
pymongo/pymongo_connect.py
yunzhang599/Python3_Package_Examples
3e479925f3f6818bf35e46123f720839acf075eb
[ "MIT" ]
null
null
null
# full pymongo documentation # http://api.mongodb.org/python/current/ import pymongo client = pymongo.MongoClient("localhost", 27017) db = client.test print db.name print db.my_collection db.my_collection.save({"x": 10}) db.my_collection.save({"x": 8}) db.my_collection.save({"x": 11}) db.my_collection.find_one() for item in db.my_collection.find(): print item["x"] db.my_collection.create_index("x") for item in db.my_collection.find().sort("x", pymongo.ASCENDING): print item["x"] print [item["x"] for item in db.my_collection.find().limit(2).skip(1)]
22.185185
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0.684474
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599
4.290323
0.408602
0.090226
0.315789
0.180451
0.350877
0.20802
0.20802
0.140351
0
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599
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72
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0
0
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0
0
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3
00c4474d6af6fbe8b3af5359f2123d3f04acf127
2,826
py
Python
edabit/longest_substring.py
sci-c0/python-misc-problems
a0827cc9cd290ca142bba3b7dda307234da63c3c
[ "BSD-3-Clause" ]
null
null
null
edabit/longest_substring.py
sci-c0/python-misc-problems
a0827cc9cd290ca142bba3b7dda307234da63c3c
[ "BSD-3-Clause" ]
null
null
null
edabit/longest_substring.py
sci-c0/python-misc-problems
a0827cc9cd290ca142bba3b7dda307234da63c3c
[ "BSD-3-Clause" ]
null
null
null
""" Original Problem: https://edabit.com/challenge/RB6iWFrCd6rXWH3vi """ import re from utils import Test def remainder(divisor): def _find_rem(dividend): return dividend % divisor return _find_rem def span_len(span: tuple[int, int]) -> int: return span[1] - span[0] def longest_substring(digits: str) -> str: if len(digits) < 2: return '' # Find the remainder string remainder_str = ''.join(map(str, map(remainder(2), map(int, digits)))) # Match multiple occurences (at least 1) of '01' followed by at most single '0' (if any) # Or similarly, # Match multiple occurences (at least 1) of '10' followed by at most single '1' (if any) pat = r"((?:01)+0?)|((?:10)+1?)" max_len_span = () max_len = 0 for match in re.finditer(pat, remainder_str): if max_len < (spln := span_len(spn := match.span())): max_len = spln max_len_span = spn return digits[max_len_span[0]:max_len_span[1]] if __name__ == '__main__': # Test Cases copied from edabit's problem's test cases Test.assert_equals(longest_substring("844929328912985315632725682153"), "56327256") Test.assert_equals(longest_substring("769697538272129475593767931733"), "27212947") Test.assert_equals(longest_substring("937948289456111258444958189244"), "894561") Test.assert_equals(longest_substring("736237766362158694825822899262"), "636") Test.assert_equals(longest_substring("369715978955362655737322836233"), "369") Test.assert_equals(longest_substring("345724969853525333273796592356"), "496985") Test.assert_equals(longest_substring("548915548581127334254139969136"), "8581") Test.assert_equals(longest_substring("417922164857852157775176959188"), "78521") Test.assert_equals(longest_substring("251346385699223913113161144327"), "638569") Test.assert_equals(longest_substring("483563951878576456268539849244"), "18785") Test.assert_equals(longest_substring("853667717122615664748443484823"), "474") Test.assert_equals(longest_substring("398785511683322662883368457392"), "98785") Test.assert_equals(longest_substring("368293545763611759335443678239"), "76361") Test.assert_equals(longest_substring("775195358448494712934755311372"), "4947") Test.assert_equals(longest_substring("646113733929969155976523363762"), "76523") Test.assert_equals(longest_substring("575337321726324966478369152265"), "478369") Test.assert_equals(longest_substring("754388489999793138912431545258"), "545258") Test.assert_equals(longest_substring("198644286258141856918653955964"), "2581418569") Test.assert_equals(longest_substring("643349187319779695864213682274"), "349") Test.assert_equals(longest_substring("919331281193713636178478295857"), "36361") print("All Tests Passed !!")
42.179104
92
0.738854
302
2,826
6.688742
0.360927
0.166337
0.158416
0.227723
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42.818182
0.529339
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3
00c9e630e719edcf1a4930bc16475771f1103db7
2,614
py
Python
src/metrics.py
AIRI-Institute/DeepCT
8e23fda101bd4a2bce2c98c5a73d97072a3892de
[ "Apache-2.0" ]
null
null
null
src/metrics.py
AIRI-Institute/DeepCT
8e23fda101bd4a2bce2c98c5a73d97072a3892de
[ "Apache-2.0" ]
null
null
null
src/metrics.py
AIRI-Institute/DeepCT
8e23fda101bd4a2bce2c98c5a73d97072a3892de
[ "Apache-2.0" ]
null
null
null
import functools import numpy as np import scipy.stats import sklearn.metrics as metrics # Metric helpers which convert float values to binary (0/1). # Regression metrics helper functions. def _to_binary(x: np.ndarray, threshold=0.5) -> np.ndarray: return np.where(x > threshold, 1, 0).astype(int) def binary_inputs(score_func): """Wrapper function for input binarization using specified threshold(s)""" def binary_wrapper(y_true, y_pred, threshold=0.5, **kwargs): if isinstance(threshold, float): binary_y_true = _to_binary(y_true, threshold) binary_y_pred = _to_binary(y_pred, threshold) else: mask = np.logical_or(y_pred > threshold[1], y_pred < threshold[0]) binarization_thresh = (threshold[0] + threshold[1]) / 2 y_pred = _to_binary(y_pred, binarization_thresh) binary_y_true = y_true[mask] binary_y_pred = y_pred[mask] return score_func(binary_y_true, binary_y_pred, **kwargs) return binary_wrapper def threshold_wrapper(score_func, threshold): return functools.partial(score_func, threshold=threshold) @binary_inputs def accuracy_score(y_true: np.ndarray, y_pred: np.ndarray, **kwargs) -> float: return metrics.accuracy_score(y_true, y_pred, **kwargs) @binary_inputs def f1_score(y_true: np.ndarray, y_pred: np.ndarray, **kwargs) -> float: return metrics.f1_score(y_true, y_pred, **kwargs) @binary_inputs def precision_score(y_true: np.ndarray, y_pred: np.ndarray, **kwargs) -> float: return metrics.precision_score(y_true, y_pred, **kwargs) @binary_inputs def recall_score(y_true: np.ndarray, y_pred: np.ndarray, **kwargs) -> float: return metrics.recall_score(y_true, y_pred, **kwargs) @binary_inputs def jaccard_score(y_true: np.ndarray, y_pred: np.ndarray, **kwargs) -> float: return metrics.jaccard_score(y_true, y_pred, **kwargs) def jaccard_multi_threshold( y_true: np.ndarray, y_pred: np.ndarray, thresholds=[0.1, 0.3, 0.5, 0.7, 0.9], **kwargs ) -> float: multi_thresh_jaccard = [] for threshold in thresholds: multi_thresh_jaccard.append(jaccard_score(y_true, y_pred, threshold=threshold)) multi_thresh_jaccard = np.array(multi_thresh_jaccard) return multi_thresh_jaccard def spearmanr_cc(y_true: np.ndarray, y_pred: np.ndarray) -> float: # Returns Spearman's correlation coefficient return scipy.stats.spearmanr(y_true, y_pred)[0] def pearsonr_cc(y_true: np.ndarray, y_pred: np.ndarray) -> float: # Returns Pearson's r return scipy.stats.pearsonr(y_true, y_pred)[0]
31.493976
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0.199482
0.073822
0.062465
0.051107
0.384441
0.356048
0.307212
0.307212
0.291312
0.20954
0
0.012517
0.174828
2,614
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3
da9d6cf099aeb2bcd0ee3647198432bf96f4ff40
16,147
py
Python
test/test_parse_pronoun_data.py
phseiff/gender-render
51db02193b46b38284290c4f5bde500208bf1605
[ "MIT" ]
24
2021-01-08T00:32:50.000Z
2022-03-06T11:20:26.000Z
test/test_parse_pronoun_data.py
phseiff/gender-render
51db02193b46b38284290c4f5bde500208bf1605
[ "MIT" ]
6
2021-01-08T00:19:25.000Z
2021-03-22T16:27:40.000Z
test/test_parse_pronoun_data.py
phseiff/gender-render
51db02193b46b38284290c4f5bde500208bf1605
[ "MIT" ]
null
null
null
import unittest import warnings import src.parse_pronoun_data as ppd import src.errors as err import src.warnings as ws # pairs of valid json and its parsed version: VALID_JSON_1 = """{"foo": "bar"}""", {"foo": "bar"} VALID_JSON_2 = """{"foo": 1, "bar": ["a", "b"]}""", {"foo": 1, "bar": ["a", "b"]} VALID_JSON_3 = """{}""", {} VALID_JSON_4 = """{"foo": {"bar": "baz"}}""", {"foo": {"bar": "baz"}} # invalid json data: INVALID_JSON_1 = """{"foo":}""" INVALID_JSON_2 = """{"foo"}""" INVALID_JSON_3 = """{"foo": "bar" """ INVALID_JSON_4 = """kk""" INVALID_JSON = [INVALID_JSON_1, INVALID_JSON_2, INVALID_JSON_3, INVALID_JSON_4] # valid pronoun data: IDPD_W_NO_PROPERTIES = """{}""", {} IDPD_W_ONE_PROPERTY = """{"they": "xe"}""", {"they": "xe"} IDPD_W_SEVERAL_PROPERTIES = """{"they": "xe", "them": "xen"}""", {"they": "xe", "them": "xen"} GRPD_W_ONE_IDPD_1 = """{"foo": {}}""", {"foo": {}} GRPD_W_ONE_IDPD_2 = """{"foo": {"they": "xe"}}""", {"foo": {"they": "xe"}} GRPD_W_ONE_IDPD_3 = """{"foo": {"they": "xe", "them": "xen"}}""", {"foo": {"they": "xe", "them": "xen"}} GRPD_W_MULTIPLE_ID = ("""{"foo": {"they": "xe", "them": "xen"}, "bar": {"they": "xe"}}""", {"foo": {"they": "xe", "them": "xen"}, "bar": {"they": "xe"}}) VALID_IDPDS = [IDPD_W_NO_PROPERTIES, IDPD_W_ONE_PROPERTY, IDPD_W_SEVERAL_PROPERTIES] VALID_GRPDS = [GRPD_W_ONE_IDPD_1, GRPD_W_ONE_IDPD_2, GRPD_W_ONE_IDPD_3, GRPD_W_MULTIPLE_ID] class TestGRPDParser(unittest.TestCase): def test_pd_string_to_dict(self): # test for valid json data: self.assertEqual(ppd.GRPDParser.pd_string_to_dict(VALID_JSON_1[0]), VALID_JSON_1[1]) self.assertEqual(ppd.GRPDParser.pd_string_to_dict(VALID_JSON_2[0]), VALID_JSON_2[1]) self.assertEqual(ppd.GRPDParser.pd_string_to_dict(VALID_JSON_3[0]), VALID_JSON_3[1]) self.assertEqual(ppd.GRPDParser.pd_string_to_dict(VALID_JSON_4[0]), VALID_JSON_4[1]) # test for invalid json data: self.assertRaises(err.InvalidPDError, lambda: ppd.GRPDParser.pd_string_to_dict(INVALID_JSON_1)) self.assertRaises(err.InvalidPDError, lambda: ppd.GRPDParser.pd_string_to_dict(INVALID_JSON_2)) self.assertRaises(err.InvalidPDError, lambda: ppd.GRPDParser.pd_string_to_dict(INVALID_JSON_3)) self.assertRaises(err.InvalidPDError, lambda: ppd.GRPDParser.pd_string_to_dict(INVALID_JSON_4)) # get the right results for the valid pronoun data examples we prepared: for inp, out in VALID_IDPDS + VALID_GRPDS: self.assertEqual(ppd.GRPDParser.pd_string_to_dict(inp), out) def test_type_of_pd(self): # error if input is not a dict: self.assertRaises(err.InvalidPDError, lambda: ppd.GRPDParser.type_of_pd("{\"they\": \"xe\"}")) # error if values are of different types (since it can't be either idpd or grpd then): self.assertRaises(err.InvalidPDError, lambda: ppd.GRPDParser.type_of_pd({"a": "foo", "b": ["a"]})) self.assertRaises(err.InvalidPDError, lambda: ppd.GRPDParser.type_of_pd({"a": "foo", "b": 1})) self.assertRaises(err.InvalidPDError, lambda: ppd.GRPDParser.type_of_pd({"a": "foo", "b": {"c": "bar"}})) self.assertRaises(err.InvalidPDError, lambda: ppd.GRPDParser.type_of_pd({"a": {"c": "bar"}, "b": ["a"]})) self.assertRaises(err.InvalidPDError, lambda: ppd.GRPDParser.type_of_pd({"a": {"c": "bar"}, "b": 1})) # even if we have multiple values: self.assertRaises(err.InvalidPDError, lambda: ppd.GRPDParser.type_of_pd({"a": "foo", "b": {"c": "bar"}, "c": "c"})) # error if values are something else than all string or all dict, in cases where all values are the same type: self.assertRaises(err.InvalidPDError, lambda: ppd.GRPDParser.type_of_pd({"a": ["b"], "b": ["c"]})) self.assertRaises(err.InvalidPDError, lambda: ppd.GRPDParser.type_of_pd({"a": 1, "b": 2, "c": 3})) # but accept if we have a valid all-values-are-strings or all-values-are-dicts: ppd.GRPDParser.type_of_pd({"foo": "bar", "foo2": "baz"}) ppd.GRPDParser.type_of_pd({"foo": {"bar": "baz"}, "foo2": {"bar2": "baz"}}) # raise error if an id is an empty string: self.assertRaises(err.InvalidPDError, lambda: ppd.GRPDParser.type_of_pd({"": {"wuwu": "wuiwui"}})) # but not if the key in idpd is a string: ppd.GRPDParser.type_of_pd({"": "wuwu"}) ppd.GRPDParser.type_of_pd({"wuwu": {"": "wuiwui"}}) # raise error if a value in a dict in a string-to-dict-mapping is invalid: self.assertRaises(err.InvalidPDError, lambda: ppd.GRPDParser.type_of_pd({"foo": {"bar": "baz"}, "bar": {"baz": 1}})) self.assertRaises(err.InvalidPDError, lambda: ppd.GRPDParser.type_of_pd({"foo": {"bar": "baz"}, "bar": {"baz": ["a"]}})) self.assertRaises(err.InvalidPDError, lambda: ppd.GRPDParser.type_of_pd({"foo": {"bar": {"bar": "baz"}}, "bar": {"baz": "a"}})) # make sure that empty dicts are accepted, but the result is not relevant: self.assertIn(ppd.GRPDParser.type_of_pd({}), (ppd.IDPD, ppd.GRPD)) # be okay with one as several key-value pairs in a string-to-dict-mapping, # and return IDPD for such values: self.assertEqual(ppd.GRPDParser.type_of_pd({"foo": "bar"}), ppd.IDPD) self.assertEqual(ppd.GRPDParser.type_of_pd({"foo": "bar", "bar": "baz"}), ppd.IDPD) # be okay with zero, one as well as several key-value-pairs in a singular string-dict-mapping: self.assertEqual(ppd.GRPDParser.type_of_pd({"foo": {}}), ppd.GRPD) self.assertEqual(ppd.GRPDParser.type_of_pd({"foo": {"bar": "baz"}}), ppd.GRPD) self.assertEqual(ppd.GRPDParser.type_of_pd({"foo": {"bar": "baz", "baz": "bar"}}), ppd.GRPD) # be okay with combinations thereof: self.assertEqual(ppd.GRPDParser.type_of_pd( {"foo": {}, "foo2": {"bar": "baz"}, "foo3": {"baz": "bar", "bar": "baz"}}), ppd.GRPD) # accept the test values we prepared for valid pronoun data: for _, inp in VALID_IDPDS: if inp != {}: self.assertEqual(ppd.GRPDParser.type_of_pd(inp), ppd.IDPD) for _, inp in VALID_GRPDS: if inp != {}: self.assertEqual(ppd.GRPDParser.type_of_pd(inp), ppd.GRPD) def test_return_pd_if_it_is_valid(self): # testing is limited to our pre-defined test cases since this function internally calls test_type_of_dict and # should therefore not be wrong in determining if something is valid or not: # test pre-defined valid pronoun data: for _, inp in VALID_IDPDS + VALID_GRPDS: out = ppd.GRPDParser.return_pd_if_it_is_valid(inp) self.assertEqual(id(inp), id(out)) self.assertEqual(inp, out) # test the same for some other values to be sure that the exact value of strings doesn not matter and only # the structure is looked at: ppd.GRPDParser.return_pd_if_it_is_valid( {"foo": {}, "foo2": {"bar": "baz"}, "foo3": {"baz": "bar", "bar": "baz"}}) ppd.GRPDParser.return_pd_if_it_is_valid({"foo": "bar", "bar": "baz"}) # make sure the errors raised by type_of_dict are raised by this function as well: self.assertRaises(err.InvalidPDError, lambda: ppd.GRPDParser.return_pd_if_it_is_valid({"a": "foo", "b": ["a"]})) self.assertRaises(err.InvalidPDError, lambda: ppd.GRPDParser.return_pd_if_it_is_valid({"bar": {"baz": 1}})) def test_pd_dict_to_grpd_dict(self): # test for idpd values: for _, inp in VALID_IDPDS: if inp != {}: # <- special case, since it is undefined whether "{}" is an idpd or an grpd. self.assertEqual(ppd.GRPDParser.pd_dict_to_grpd_dict(inp), {"": inp}) # test for grpd values: for _, inp in VALID_GRPDS: if inp != {}: # <- special case, since it is undefined whether "{}" is an idpd or an grpd. self.assertEqual(ppd.GRPDParser.pd_dict_to_grpd_dict(inp), inp) # confirm that this also works if the words for randomly-looking dicts with "non-official" keywords: self.assertEqual(ppd.GRPDParser.pd_dict_to_grpd_dict({"foo": "bar"}), {"": {"foo": "bar"}}) self.assertEqual(ppd.GRPDParser.pd_dict_to_grpd_dict({"baz": {"foo": "bar"}}), {"baz": {"foo": "bar"}}) # two manual tests in case our testing with the predefined valid pronoun data examples happens to be wrong: self.assertEqual(ppd.GRPDParser.pd_dict_to_grpd_dict({"they": "xe", "them": "xen"}), {"": {"they": "xe", "them": "xen"}}) self.assertEqual(ppd.GRPDParser.pd_dict_to_grpd_dict({"foo": {"they": "xe", "them": "xen"}}), {"foo": {"they": "xe", "them": "xen"}}) def test_grpd_dict_to_canonical_grpd_dict(self): # test for one id, one non-con property: self.assertEqual(ppd.GRPDParser.grpd_dict_to_canonical_grpd_dict( {"foo": {"they": "xe"}}), {"foo": {"subject": "xe"}}) # test for one id, one con property: self.assertEqual(ppd.GRPDParser.grpd_dict_to_canonical_grpd_dict( {"foo": {"subject": "xe"}}), {"foo": {"subject": "xe"}}) # test for one id, two non-con properties: self.assertEqual(ppd.GRPDParser.grpd_dict_to_canonical_grpd_dict( {"foo": {"they": "xe", "them": "xen"}}), {"foo": {"subject": "xe", "object": "xen"}}) # test for one id, one non-con and one con property: self.assertEqual(ppd.GRPDParser.grpd_dict_to_canonical_grpd_dict( {"foo": {"they": "xe", "address": "Mr"}}), {"foo": {"subject": "xe", "address": "Mr"}}) # test for one id, two con properties: self.assertEqual(ppd.GRPDParser.grpd_dict_to_canonical_grpd_dict( {"foo": {"subject": "xe", "address": "Mr"}}), {"foo": {"subject": "xe", "address": "Mr"}}) # combined: test for multiple ids with multiple properties: self.assertEqual(ppd.GRPDParser.grpd_dict_to_canonical_grpd_dict( {"foo": {"they": "xe", "address": "Mr"}, "bar": {"obj": "them"}}), {"foo": {"subject": "xe", "address": "Mr"}, "bar": {"object": "them"}}) # special cases (further covered by the unittests for `handle_context_values.py`): # custom properties - in this case, canonical: self.assertEqual(ppd.GRPDParser.grpd_dict_to_canonical_grpd_dict( {"foo": {"<wuwu>": "wawa"}}), {"foo": {"<wuwu>": "wawa"}}) self.assertEqual(ppd.GRPDParser.grpd_dict_to_canonical_grpd_dict( {"foo": {"_wuwu": "wawa"}}), {"foo": {"<wuwu>": "wawa"}}) # and in this case, not canonical and raising a warning: with warnings.catch_warnings(record=True) as w: self.assertEqual(ppd.GRPDParser.grpd_dict_to_canonical_grpd_dict( {"foo": {"wuwu": "wawa"}}), {"foo": {"<wuwu>": "wawa"}}) self.assertTrue(len(w) == 1 and issubclass(w[-1].category, ws.UnknownPropertyWarning)) # error for invalid information self.assertRaises(err.InvalidInformationError, lambda: ppd.GRPDParser.grpd_dict_to_canonical_grpd_dict({"foo": {"gender-nouns": "fufu"}})) self.assertRaises(err.InvalidInformationError, lambda: ppd.GRPDParser.grpd_dict_to_canonical_grpd_dict({"foo": {"gender-addressing": "hi"}})) ppd.GRPDParser.grpd_dict_to_canonical_grpd_dict({"foo": {"gender-nouns": "neutral"}}) ppd.GRPDParser.grpd_dict_to_canonical_grpd_dict({"foo": {"gender-addressing": "t"}}) # error for doubled information self.assertRaises(err.DoubledInformationError, lambda: ppd.GRPDParser.grpd_dict_to_canonical_grpd_dict({"foo": {"they": "a", "subj": "b"}})) def test_full_parsing_pipeline(self): # error when given pd is neither grpd nor idpd: self.assertRaises(err.InvalidPDError, lambda: ppd.GRPDParser.full_parsing_pipeline({"foo": {"bar": {"baz": "wuwu"}}})) self.assertRaises(err.InvalidPDError, lambda: ppd.GRPDParser.full_parsing_pipeline({"foo": {"bar": "baz", "baz": 1}})) self.assertRaises(err.InvalidPDError, lambda: ppd.GRPDParser.full_parsing_pipeline({"": {"they": "xe"}})) # turn grpd as well as idpd into grpd in the end: self.assertEqual(ppd.GRPDParser.full_parsing_pipeline( {"foo": {"subject": "they"}}), {"foo": {"subject": "they"}}) self.assertEqual(ppd.GRPDParser.full_parsing_pipeline( {"subject": "they"}), {"": {"subject": "they"}}) # accepts grpd with multiple ids: self.assertEqual(ppd.GRPDParser.full_parsing_pipeline( {"foo": {"subject": "they"}, "bar": {"object": "them"}}), {"foo": {"subject": "they"}, "bar": {"object": "them"}}) # tests done when converting properties to canonical properties - copied from tests for the dedicated function: self.assertEqual(ppd.GRPDParser.full_parsing_pipeline( {"foo": {"they": "xe"}}), {"foo": {"subject": "xe"}}) # test for one id, one con property: self.assertEqual(ppd.GRPDParser.full_parsing_pipeline( {"foo": {"subject": "xe"}}), {"foo": {"subject": "xe"}}) # test for one id, two non-con properties: self.assertEqual(ppd.GRPDParser.full_parsing_pipeline( {"foo": {"they": "xe", "them": "xen"}}), {"foo": {"subject": "xe", "object": "xen"}}) # test for one id, one non-con and one con property: self.assertEqual(ppd.GRPDParser.full_parsing_pipeline( {"foo": {"they": "xe", "address": "Mr"}}), {"foo": {"subject": "xe", "address": "Mr"}}) # test for one id, two con properties: self.assertEqual(ppd.GRPDParser.full_parsing_pipeline( {"foo": {"subject": "xe", "address": "Mr"}}), {"foo": {"subject": "xe", "address": "Mr"}}) # combined: test for multiple ids with multiple properties: self.assertEqual(ppd.GRPDParser.full_parsing_pipeline( {"foo": {"they": "xe", "address": "Mr"}, "bar": {"obj": "them"}}), {"foo": {"subject": "xe", "address": "Mr"}, "bar": {"object": "them"}}) # special cases (further covered by the unittests for `handle_context_values.py`): # custom properties - in this case, canonical: self.assertEqual(ppd.GRPDParser.full_parsing_pipeline( {"foo": {"<wuwu>": "wawa"}}), {"foo": {"<wuwu>": "wawa"}}) self.assertEqual(ppd.GRPDParser.full_parsing_pipeline( {"foo": {"_wuwu": "wawa"}}), {"foo": {"<wuwu>": "wawa"}}) # and in this case, not canonical and raising a warning: with warnings.catch_warnings(record=True) as w: self.assertEqual(ppd.GRPDParser.full_parsing_pipeline( {"foo": {"wuwu": "wawa"}}), {"foo": {"<wuwu>": "wawa"}}) self.assertTrue(len(w) == 1 and issubclass(w[-1].category, ws.UnknownPropertyWarning)) # error for invalid information self.assertRaises(err.InvalidInformationError, lambda: ppd.GRPDParser.full_parsing_pipeline({"foo": {"gender-nouns": "fufu"}})) self.assertRaises(err.InvalidInformationError, lambda: ppd.GRPDParser.full_parsing_pipeline({"foo": {"gender-addressing": "lolol"}})) ppd.GRPDParser.full_parsing_pipeline({"foo": {"gender-nouns": "neutral"}}) ppd.GRPDParser.full_parsing_pipeline({"foo": {"gender-addressing": "t"}}) # error for doubled information self.assertRaises(err.DoubledInformationError, lambda: ppd.GRPDParser.full_parsing_pipeline({"foo": {"they": "a", "subj": "b"}}))
54.921769
120
0.603084
2,042
16,147
4.576885
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0.111278
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0.119837
0.762786
0.732292
0.71346
0.68532
0.631393
0.60443
0
0.004702
0.222952
16,147
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55.109215
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da9e090f052456fd45f6f5506237319270ee1cfb
1,069
py
Python
orm/data_base.py
caoziyao/orm
24121b8b10910c121a5dff19c6fd9f25ec7f425c
[ "MIT" ]
1
2016-10-30T14:41:39.000Z
2016-10-30T14:41:39.000Z
orm/data_base.py
caoziyao/orm
24121b8b10910c121a5dff19c6fd9f25ec7f425c
[ "MIT" ]
null
null
null
orm/data_base.py
caoziyao/orm
24121b8b10910c121a5dff19c6fd9f25ec7f425c
[ "MIT" ]
null
null
null
# coding: utf-8 """ @author: csy @license: (C) Copyright 2017-2018 @contact: wyzycao@gmail.com @time: 2018/11/22 @desc: """ import pymysql from sqlalchemy import create_engine, exc, inspect, text from sqlalchemy.ext.declarative import declarative_base from orm.connection import Connection class Database(object): """ Database """ def __init__(self, db_url, **kwargs): self.db_url = db_url if not self.db_url: raise ValueError('You must provide a db_url.') # Create an engine. pymysql.install_as_MySQLdb() self._engine = create_engine(self.db_url, **kwargs) BaseModel = declarative_base() def close(self): """ close database :return: """ pass def get_connection(self): """ :return: """ return Connection(self._engine.connect()) def query(self, query): """ query :param query: :return: """ conn = self.get_connection() return conn.query(query)
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daa22a10e3b85c5aa358215cdbd70d7d7e9b7377
786
py
Python
4/4-3/test_index.py
softwaretestbook/apitest_book
29f640363ab6ef301ea685196b43805a4ed5a3d4
[ "Apache-2.0" ]
null
null
null
4/4-3/test_index.py
softwaretestbook/apitest_book
29f640363ab6ef301ea685196b43805a4ed5a3d4
[ "Apache-2.0" ]
null
null
null
4/4-3/test_index.py
softwaretestbook/apitest_book
29f640363ab6ef301ea685196b43805a4ed5a3d4
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/env python # -*- coding: utf-8 -*- ''' @File : test_index.py @Time : 2021/09/28 14:10:13 @Author : CrissChan @Version : 1.0 @Site : https://blog.csdn.net/crisschan @Desc : 主页接口 ''' from unittest import TestCase import unittest from unittest.main import main import requests class TestIndex(TestCase): def setUp(self) -> None: return super().setUp() def tearDown(self) -> None: return super().tearDown() def test_index(self): url = 'http://127.0.0.1:12356' res_index = requests.get(url) self.assertEqual(res_index.status_code,requests.codes.ok,msg="返回状态码是200") self.assertIn('username',res_index.text,msg='response include username') # if __name__ == '__main__': # unittest.main()
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3
dabdc67d7f67d1d84f3b0c3755029b9e81f0d469
582
py
Python
src/OrderedStage.py
sergey-serebryakov/mpipe
5a1804cf64271931f0cd3e4fff3e2b38291212dd
[ "MIT" ]
null
null
null
src/OrderedStage.py
sergey-serebryakov/mpipe
5a1804cf64271931f0cd3e4fff3e2b38291212dd
[ "MIT" ]
null
null
null
src/OrderedStage.py
sergey-serebryakov/mpipe
5a1804cf64271931f0cd3e4fff3e2b38291212dd
[ "MIT" ]
null
null
null
"""Implements OrderedStage class.""" from .Stage import Stage from .OrderedWorker import OrderedWorker class OrderedStage(Stage): """A specialized :class:`~mpipe.Stage`, internally creating :class:`~mpipe.OrderedWorker` objects.""" def __init__(self, target, size=1, disable_result=False): """Constructor takes a function implementing :meth:`OrderedWorker.doTask`.""" class wclass(OrderedWorker): def doTask(self, task): return target(task) super(OrderedStage, self).__init__(wclass, size, disable_result)
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3
dad9445df7e4b260a45a10454891d017658def3a
417
py
Python
lib/cork/backends.py
jimeggleston/wombatwiki
5e0d7c8e6e4037de4040585b91fd5f8db7293b36
[ "MIT" ]
null
null
null
lib/cork/backends.py
jimeggleston/wombatwiki
5e0d7c8e6e4037de4040585b91fd5f8db7293b36
[ "MIT" ]
null
null
null
lib/cork/backends.py
jimeggleston/wombatwiki
5e0d7c8e6e4037de4040585b91fd5f8db7293b36
[ "MIT" ]
null
null
null
# Cork - Authentication module for tyyhe Bottle web framework # Copyright (C) 2013 Federico Ceratto and others, see AUTHORS file. # Released under LGPLv3+ license, see LICENSE.txt # # Backends API - used to make backends available for importing # from json_backend import JsonBackend from mongodb_backend import MongoDBBackend from sqlalchemy_backend import SqlAlchemyBackend from sqlite_backend import SQLiteBackend
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0.136691
417
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1
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3
daf9c059842880d542a5a00badf6026bbe5bed0e
901
py
Python
src/onegov/activity/matching/__init__.py
politbuero-kampagnen/onegov-cloud
20148bf321b71f617b64376fe7249b2b9b9c4aa9
[ "MIT" ]
null
null
null
src/onegov/activity/matching/__init__.py
politbuero-kampagnen/onegov-cloud
20148bf321b71f617b64376fe7249b2b9b9c4aa9
[ "MIT" ]
null
null
null
src/onegov/activity/matching/__init__.py
politbuero-kampagnen/onegov-cloud
20148bf321b71f617b64376fe7249b2b9b9c4aa9
[ "MIT" ]
null
null
null
from onegov.activity.matching.core import deferred_acceptance from onegov.activity.matching.core import deferred_acceptance_from_database from onegov.activity.matching.interfaces import MatchableBooking from onegov.activity.matching.interfaces import MatchableOccasion from onegov.activity.matching.score import PreferAdminChildren from onegov.activity.matching.score import PreferGroups from onegov.activity.matching.score import PreferInAgeBracket from onegov.activity.matching.score import PreferMotivated from onegov.activity.matching.score import PreferOrganiserChildren from onegov.activity.matching.score import Scoring __all__ = [ 'deferred_acceptance', 'deferred_acceptance_from_database', 'MatchableBooking', 'MatchableOccasion', 'Scoring', 'PreferGroups', 'PreferMotivated', 'PreferInAgeBracket', 'PreferOrganiserChildren', 'PreferAdminChildren', ]
37.541667
75
0.824639
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901
8.213483
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0.136799
0.246238
0.355677
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0.571819
0.153215
0.153215
0.153215
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3
9710c05effdef623c2a69d678143df5d4b732310
242
py
Python
Python/libraries/recognizers-choice/recognizers_choice/choice/constants.py
AhmedLeithy/Recognizers-Text
f5426e38a09d3974fc0979b7803a4cd17258ea62
[ "MIT" ]
688
2019-05-08T02:56:21.000Z
2022-03-30T07:26:15.000Z
Python/libraries/recognizers-choice/recognizers_choice/choice/constants.py
AhmedLeithy/Recognizers-Text
f5426e38a09d3974fc0979b7803a4cd17258ea62
[ "MIT" ]
840
2019-05-07T07:00:02.000Z
2022-03-30T14:52:11.000Z
Python/libraries/recognizers-choice/recognizers_choice/choice/constants.py
AhmedLeithy/Recognizers-Text
f5426e38a09d3974fc0979b7803a4cd17258ea62
[ "MIT" ]
283
2019-05-07T07:52:12.000Z
2022-03-27T02:27:58.000Z
# Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. class Constants: SYS_BOOLEAN: str = "boolean" SYS_BOOLEAN_TRUE: str = "boolean-true" SYS_BOOLEAN_FALSE: str = "boolean-false"
30.25
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30
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5.5
0.633333
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242
7
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0
1
0
0
0
1
0
0
3
971d9136995da82d92f3987e0fb85559762fcc29
215
py
Python
tuitse/widget.py
i3thuan5/TuiTse-TsuSin
b2e12d0565ca2a5c09af0e9f91048233724d8d6c
[ "MIT" ]
null
null
null
tuitse/widget.py
i3thuan5/TuiTse-TsuSin
b2e12d0565ca2a5c09af0e9f91048233724d8d6c
[ "MIT" ]
4
2020-02-17T02:46:07.000Z
2021-10-14T06:52:11.000Z
tuitse/widget.py
i3thuan5/TuiTse-TsuSin
b2e12d0565ca2a5c09af0e9f91048233724d8d6c
[ "MIT" ]
null
null
null
import json from tuitse.html import tuitse_html class KiamTsaNuaUi(): def 檢查結果(self, obj): if not obj.檢查: return '' tinliat = json.loads(obj.檢查) return tuitse_html(tinliat)
19.545455
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4.678571
0.607143
0.229008
0.167939
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215
10
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0
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1
0
0
3
9730533de3f0de6931d99c4b0e666601660c28ee
11,625
py
Python
mare/evaluation/evaluation_strategies.py
MSLars/mare
a1cd3c231b9262d6597ab81ae23068ae64982c38
[ "MIT" ]
null
null
null
mare/evaluation/evaluation_strategies.py
MSLars/mare
a1cd3c231b9262d6597ab81ae23068ae64982c38
[ "MIT" ]
null
null
null
mare/evaluation/evaluation_strategies.py
MSLars/mare
a1cd3c231b9262d6597ab81ae23068ae64982c38
[ "MIT" ]
1
2021-12-04T00:00:52.000Z
2021-12-04T00:00:52.000Z
# JSON Structure: # # { # "relations": [ # { # "name": name, # "ents": [ # { # "name": role, # "start": start, # "end": end # "mandatory": true (optional, just for gold) # } # ] # } # ] # } import copy from mare.defs import relation_mandatory_args NO_MATCH = "NO_MATCH" def sort_entities_of_rel(relation): return {"name": relation["name"], "ents": sort_entities(relation["ents"])} def sort_entities(ents): return sorted(ents, key=lambda x: x["start"]) def sort_relations(rels): return sorted(rels, key=lambda x: x["name"]) def reduce_to_mandatory_arguments(relation): return {"name": relation["name"], "ents": sort_entities( [ele for ele in relation["ents"] if ele["name"] in relation_mandatory_args[relation["name"]]])} def reduce_relations_to_mandatory_arguments(relations): rels_reduced = [] for rel in relations: rel_reduced = reduce_to_mandatory_arguments(rel) rels_reduced.append(rel_reduced) return rels_reduced def copy_dict(source): return copy.deepcopy(source) def named_entity_recognition(gold, prediction): gold_copy = copy_dict(gold) pred_copy = copy_dict(prediction) gold_ner = [] pred_ner = [] gold_ents = [ent for rel in gold_copy["relations"] for ent in rel["ents"]] pred_ents = [ent for rel in pred_copy["relations"] for ent in rel["ents"]] for pred_ent in pred_ents: if pred_ent in gold_ents: pred_ner.append(pred_ent["name"]) gold_ner.append(pred_ent["name"]) gold_ents.remove(pred_ent) else: pred_ner.append(pred_ent["name"]) gold_ner.append(NO_MATCH) for gold_ent in gold_ents: pred_ner.append(NO_MATCH) gold_ner.append(gold_ent["name"]) return pred_ner, gold_ner def named_entity_recognition_v2(gold, prediction): gold_copy = copy_dict(gold) pred_copy = copy_dict(prediction) gold_ner = [] pred_ner = [] def extract_ents(relations): ents = [] for rel in relations: for ent in rel["ents"]: ent["name"] = f"{rel['name']}-{ent['name']}" ents.append(ent) return ents gold_ents = extract_ents(gold_copy["relations"]) pred_ents = extract_ents(pred_copy["relations"]) for pred_ent in pred_ents: if pred_ent in gold_ents: pred_ner.append(pred_ent["name"]) gold_ner.append(pred_ent["name"]) gold_ents.remove(pred_ent) else: pred_ner.append(pred_ent["name"]) gold_ner.append(NO_MATCH) for gold_ent in gold_ents: pred_ner.append(NO_MATCH) gold_ner.append(gold_ent["name"]) return pred_ner, gold_ner def named_entity_recognition_v2_no_trigger(gold, prediction): gold_copy = copy_dict(gold) pred_copy = copy_dict(prediction) gold_ner = [] pred_ner = [] def extract_ents(relations): ents = [] for rel in relations: for ent in rel["ents"]: if ent["name"].lower() != "trigger": ent["name"] = f"{rel['name']}-{ent['name']}" ents.append(ent) return ents gold_ents = extract_ents(gold_copy["relations"]) pred_ents = extract_ents(pred_copy["relations"]) for pred_ent in pred_ents: if pred_ent in gold_ents: pred_ner.append(pred_ent["name"]) gold_ner.append(pred_ent["name"]) gold_ents.remove(pred_ent) else: pred_ner.append(pred_ent["name"]) gold_ner.append(NO_MATCH) for gold_ent in gold_ents: pred_ner.append(NO_MATCH) gold_ner.append(gold_ent["name"]) return pred_ner, gold_ner def only_relation_classification(gold, prediction): """ Returns prediction_rel, gold_rel """ gold_rel_names = [rel["name"] for rel in gold["relations"]] prediction_rel_names = [rel["name"] for rel in prediction["relations"]] prediction_relations = [] gold_relations = [] for pred in prediction_rel_names: if pred in gold_rel_names: prediction_relations.append(pred) gold_relations.append(pred) gold_rel_names.remove(pred) else: prediction_relations.append(pred) gold_relations.append(NO_MATCH) for gold_rel in gold_rel_names: prediction_relations.append(NO_MATCH) gold_relations.append(gold_rel) return prediction_relations, gold_relations def respect_only_mandatory_args(gold, prediction): gold_copy = copy_dict(gold) prediction_copy = copy_dict(prediction) prediction_relations = [] gold_relations = [] gold_rels_reduced = [] for gold_rel in gold_copy["relations"]: gold_rel_reduced = reduce_to_mandatory_arguments(gold_rel) gold_rels_reduced.append(gold_rel_reduced) for pred in prediction_copy["relations"]: pred_reduced = reduce_to_mandatory_arguments(pred) if pred_reduced in gold_rels_reduced: prediction_relations.append(pred_reduced["name"]) gold_relations.append(pred_reduced["name"]) gold_rels_reduced.remove(pred_reduced) else: prediction_relations.append(pred_reduced["name"]) gold_relations.append(NO_MATCH) for gold_rel in gold_rels_reduced: prediction_relations.append(NO_MATCH) gold_relations.append(gold_rel["name"]) return prediction_relations, gold_relations def filter_role(rel, role="trigger"): new_rel = {"name": rel["name"]} new_ents = [] for ent in rel["ents"]: if ent["name"].lower() != role: new_ent = {"name": ent["name"], "start": ent["start"], "end": ent["end"] } new_ents.append(new_ent) new_rel["ents"] = new_ents return new_rel def respect_only_mandatory_args_no_trigger(gold, prediction): gold_copy = copy_dict(gold) prediction_copy = copy_dict(prediction) prediction_relations = [] gold_relations = [] gold_rels_reduced = [] for gold_rel in gold_copy["relations"]: gold_rel_reduced = filter_role(reduce_to_mandatory_arguments(gold_rel)) gold_rels_reduced.append(gold_rel_reduced) for pred in prediction_copy["relations"]: pred_reduced = filter_role(reduce_to_mandatory_arguments(pred)) if pred_reduced in gold_rels_reduced: prediction_relations.append(pred_reduced["name"]) gold_relations.append(pred_reduced["name"]) gold_rels_reduced.remove(pred_reduced) else: prediction_relations.append(pred_reduced["name"]) gold_relations.append(NO_MATCH) for gold_rel in gold_rels_reduced: prediction_relations.append(NO_MATCH) gold_relations.append(gold_rel["name"]) return prediction_relations, gold_relations def spert_only_two_mandatory_args(gold, prediction): gold_copy = copy_dict(gold) prediction_copy = copy_dict(prediction) prediction_relations = [] gold_relations = [] gold_rels_tmp = [] for gold_rel in gold_copy["relations"]: gold_rel_reduced = reduce_to_mandatory_arguments(gold_rel) gold_rels_tmp.append(gold_rel_reduced) if sum([len(rel["ents"]) != 2 for rel in gold_rels_tmp]) > 0: return [], [] gold_rels_reduced = [rel for rel in gold_rels_tmp if len(rel["ents"]) == 2] #gold_rels_reduced = gold_rels_tmp for pred in prediction_copy["relations"]: pred_reduced = reduce_to_mandatory_arguments(pred) if pred_reduced in gold_rels_reduced: prediction_relations.append(pred_reduced["name"]) gold_relations.append(pred_reduced["name"]) gold_rels_reduced.remove(pred_reduced) else: prediction_relations.append(pred_reduced["name"]) gold_relations.append(NO_MATCH) for gold_rel in gold_rels_reduced: prediction_relations.append(NO_MATCH) gold_relations.append(gold_rel["name"]) return prediction_relations, gold_relations def spert_only_two_mandatory_args_v2(gold, prediction): union = set() def to_tuples(rels): result = [] for rel in rels: rel = reduce_to_mandatory_arguments(rel) #attrs = tuple([tuple(ent.values()) for ent in sort_entities(rel["ents"])]) attrs = tuple([tuple(ent.values()) for ent in rel["ents"]]) result += [(rel["name"], attrs)] return result gold_tuples = to_tuples(copy_dict(gold["relations"])) pred_tuples = to_tuples(copy_dict(prediction["relations"])) union.update(gold_tuples) union.update(pred_tuples) gt_flat = [] pred_flat = [] for s in union: if s in gold_tuples: gt_flat.append(s[0]) else: gt_flat.append(NO_MATCH) if s in pred_tuples: pred_flat.append(s[0]) else: pred_flat.append(NO_MATCH) return pred_flat, gt_flat def all_args_mandatory(gold, prediction): gold_copy = copy_dict(gold) prediction_copy = copy_dict(prediction) prediction_relations = [] gold_relations = [] gold_rels_sorted = [] for gold_rel in gold_copy["relations"]: gold_rel_sorted = sort_entities_of_rel(gold_rel) gold_rels_sorted.append(gold_rel_sorted) for pred in prediction_copy["relations"]: pred_sorted = sort_entities_of_rel(pred) if pred_sorted in gold_rels_sorted: prediction_relations.append(pred_sorted["name"]) gold_relations.append(pred_sorted["name"]) gold_rels_sorted.remove(pred_sorted) else: prediction_relations.append(pred_sorted["name"]) gold_relations.append(NO_MATCH) for gold_rel in gold_rels_sorted: prediction_relations.append(NO_MATCH) gold_relations.append(gold_rel["name"]) return prediction_relations, gold_relations if __name__ == "__main__": gold = { "relations": [ { "name": "Obstruction", "ents": [ { "name": "location", "start": 0, "end": 0 }, { "name": "trigger", "start": 5, "end": 5 }, { "name": "something_different", "start": 10, "end": 5 } ] } ] } prediction = { "relations": [ { "name": "Obstruction", "ents": [ { "name": "location", "start": 0, "end": 0 }, { "name": "trigger", "start": 5, "end": 5 }, { "name": "something_different", "start": 10, "end": 5 } ] } ] } respect_only_mandatory_args(gold, prediction)
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