hexsha
string | size
int64 | ext
string | lang
string | max_stars_repo_path
string | max_stars_repo_name
string | max_stars_repo_head_hexsha
string | max_stars_repo_licenses
list | max_stars_count
int64 | max_stars_repo_stars_event_min_datetime
string | max_stars_repo_stars_event_max_datetime
string | max_issues_repo_path
string | max_issues_repo_name
string | max_issues_repo_head_hexsha
string | max_issues_repo_licenses
list | max_issues_count
int64 | max_issues_repo_issues_event_min_datetime
string | max_issues_repo_issues_event_max_datetime
string | max_forks_repo_path
string | max_forks_repo_name
string | max_forks_repo_head_hexsha
string | max_forks_repo_licenses
list | max_forks_count
int64 | max_forks_repo_forks_event_min_datetime
string | max_forks_repo_forks_event_max_datetime
string | content
string | avg_line_length
float64 | max_line_length
int64 | alphanum_fraction
float64 | qsc_code_num_words_quality_signal
int64 | qsc_code_num_chars_quality_signal
float64 | qsc_code_mean_word_length_quality_signal
float64 | qsc_code_frac_words_unique_quality_signal
float64 | qsc_code_frac_chars_top_2grams_quality_signal
float64 | qsc_code_frac_chars_top_3grams_quality_signal
float64 | qsc_code_frac_chars_top_4grams_quality_signal
float64 | qsc_code_frac_chars_dupe_5grams_quality_signal
float64 | qsc_code_frac_chars_dupe_6grams_quality_signal
float64 | qsc_code_frac_chars_dupe_7grams_quality_signal
float64 | qsc_code_frac_chars_dupe_8grams_quality_signal
float64 | qsc_code_frac_chars_dupe_9grams_quality_signal
float64 | qsc_code_frac_chars_dupe_10grams_quality_signal
float64 | qsc_code_frac_chars_replacement_symbols_quality_signal
float64 | qsc_code_frac_chars_digital_quality_signal
float64 | qsc_code_frac_chars_whitespace_quality_signal
float64 | qsc_code_size_file_byte_quality_signal
float64 | qsc_code_num_lines_quality_signal
float64 | qsc_code_num_chars_line_max_quality_signal
float64 | qsc_code_num_chars_line_mean_quality_signal
float64 | qsc_code_frac_chars_alphabet_quality_signal
float64 | qsc_code_frac_chars_comments_quality_signal
float64 | qsc_code_cate_xml_start_quality_signal
float64 | qsc_code_frac_lines_dupe_lines_quality_signal
float64 | qsc_code_cate_autogen_quality_signal
float64 | qsc_code_frac_lines_long_string_quality_signal
float64 | qsc_code_frac_chars_string_length_quality_signal
float64 | qsc_code_frac_chars_long_word_length_quality_signal
float64 | qsc_code_frac_lines_string_concat_quality_signal
float64 | qsc_code_cate_encoded_data_quality_signal
float64 | qsc_code_frac_chars_hex_words_quality_signal
float64 | qsc_code_frac_lines_prompt_comments_quality_signal
float64 | qsc_code_frac_lines_assert_quality_signal
float64 | qsc_codepython_cate_ast_quality_signal
float64 | qsc_codepython_frac_lines_func_ratio_quality_signal
float64 | qsc_codepython_cate_var_zero_quality_signal
bool | qsc_codepython_frac_lines_pass_quality_signal
float64 | qsc_codepython_frac_lines_import_quality_signal
float64 | qsc_codepython_frac_lines_simplefunc_quality_signal
float64 | qsc_codepython_score_lines_no_logic_quality_signal
float64 | qsc_codepython_frac_lines_print_quality_signal
float64 | qsc_code_num_words
int64 | qsc_code_num_chars
int64 | qsc_code_mean_word_length
int64 | qsc_code_frac_words_unique
null | qsc_code_frac_chars_top_2grams
int64 | qsc_code_frac_chars_top_3grams
int64 | qsc_code_frac_chars_top_4grams
int64 | qsc_code_frac_chars_dupe_5grams
int64 | qsc_code_frac_chars_dupe_6grams
int64 | qsc_code_frac_chars_dupe_7grams
int64 | qsc_code_frac_chars_dupe_8grams
int64 | qsc_code_frac_chars_dupe_9grams
int64 | qsc_code_frac_chars_dupe_10grams
int64 | qsc_code_frac_chars_replacement_symbols
int64 | qsc_code_frac_chars_digital
int64 | qsc_code_frac_chars_whitespace
int64 | qsc_code_size_file_byte
int64 | qsc_code_num_lines
int64 | qsc_code_num_chars_line_max
int64 | qsc_code_num_chars_line_mean
int64 | qsc_code_frac_chars_alphabet
int64 | qsc_code_frac_chars_comments
int64 | qsc_code_cate_xml_start
int64 | qsc_code_frac_lines_dupe_lines
int64 | qsc_code_cate_autogen
int64 | qsc_code_frac_lines_long_string
int64 | qsc_code_frac_chars_string_length
int64 | qsc_code_frac_chars_long_word_length
int64 | qsc_code_frac_lines_string_concat
null | qsc_code_cate_encoded_data
int64 | qsc_code_frac_chars_hex_words
int64 | qsc_code_frac_lines_prompt_comments
int64 | qsc_code_frac_lines_assert
int64 | qsc_codepython_cate_ast
int64 | qsc_codepython_frac_lines_func_ratio
int64 | qsc_codepython_cate_var_zero
int64 | qsc_codepython_frac_lines_pass
int64 | qsc_codepython_frac_lines_import
int64 | qsc_codepython_frac_lines_simplefunc
int64 | qsc_codepython_score_lines_no_logic
int64 | qsc_codepython_frac_lines_print
int64 | effective
string | hits
int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
8acdfbdff8ea00cb28afa15084b186e6d5355915
| 4,299
|
py
|
Python
|
tests/hwsim/test_p2p_ext.py
|
AMacedoP/hostapd
|
d0a6ec203295372342093abcf4eca7caa45acda5
|
[
"Unlicense"
] | 4
|
2015-06-18T05:25:10.000Z
|
2019-07-09T13:57:28.000Z
|
tests/hwsim/test_p2p_ext.py
|
AMacedoP/hostapd
|
d0a6ec203295372342093abcf4eca7caa45acda5
|
[
"Unlicense"
] | null | null | null |
tests/hwsim/test_p2p_ext.py
|
AMacedoP/hostapd
|
d0a6ec203295372342093abcf4eca7caa45acda5
|
[
"Unlicense"
] | null | null | null |
# P2P vendor specific extension tests
# Copyright (c) 2014, Qualcomm Atheros, Inc.
import logging
logger = logging.getLogger()
def test_p2p_ext_discovery(dev):
"""P2P device discovery with vendor specific extensions"""
addr0 = dev[0].p2p_dev_addr()
addr1 = dev[1].p2p_dev_addr()
try:
if "OK" not in dev[0].request("VENDOR_ELEM_ADD 1 dd050011223344"):
raise Exception("VENDOR_ELEM_ADD failed")
res = dev[0].request("VENDOR_ELEM_GET 1")
if res != "dd050011223344":
raise Exception("Unexpected VENDOR_ELEM_GET result: " + res)
if "OK" not in dev[0].request("VENDOR_ELEM_ADD 1 dd06001122335566"):
raise Exception("VENDOR_ELEM_ADD failed")
res = dev[0].request("VENDOR_ELEM_GET 1")
if res != "dd050011223344dd06001122335566":
raise Exception("Unexpected VENDOR_ELEM_GET result(2): " + res)
res = dev[0].request("VENDOR_ELEM_GET 2")
if res != "":
raise Exception("Unexpected VENDOR_ELEM_GET result(3): " + res)
if "OK" not in dev[0].request("VENDOR_ELEM_REMOVE 1 dd050011223344"):
raise Exception("VENDOR_ELEM_REMOVE failed")
res = dev[0].request("VENDOR_ELEM_GET 1")
if res != "dd06001122335566":
raise Exception("Unexpected VENDOR_ELEM_GET result(4): " + res)
if "OK" not in dev[0].request("VENDOR_ELEM_REMOVE 1 dd06001122335566"):
raise Exception("VENDOR_ELEM_REMOVE failed")
res = dev[0].request("VENDOR_ELEM_GET 1")
if res != "":
raise Exception("Unexpected VENDOR_ELEM_GET result(5): " + res)
if "OK" not in dev[0].request("VENDOR_ELEM_ADD 1 dd050011223344dd06001122335566"):
raise Exception("VENDOR_ELEM_ADD failed(2)")
if "FAIL" not in dev[0].request("VENDOR_ELEM_REMOVE 1 dd051122334455"):
raise Exception("Unexpected VENDOR_ELEM_REMOVE success")
if "FAIL" not in dev[0].request("VENDOR_ELEM_REMOVE 1 dd"):
raise Exception("Unexpected VENDOR_ELEM_REMOVE success(2)")
if "FAIL" not in dev[0].request("VENDOR_ELEM_ADD 1 ddff"):
raise Exception("Unexpected VENDOR_ELEM_ADD success(3)")
dev[0].p2p_listen()
if not dev[1].discover_peer(addr0):
raise Exception("Device discovery timed out")
if not dev[0].discover_peer(addr1):
raise Exception("Device discovery timed out")
peer = dev[1].get_peer(addr0)
if peer['vendor_elems'] != "dd050011223344dd06001122335566":
raise Exception("Vendor elements not reported correctly")
res = dev[0].request("VENDOR_ELEM_GET 1")
if res != "dd050011223344dd06001122335566":
raise Exception("Unexpected VENDOR_ELEM_GET result(6): " + res)
if "OK" not in dev[0].request("VENDOR_ELEM_REMOVE 1 dd06001122335566"):
raise Exception("VENDOR_ELEM_REMOVE failed")
res = dev[0].request("VENDOR_ELEM_GET 1")
if res != "dd050011223344":
raise Exception("Unexpected VENDOR_ELEM_GET result(7): " + res)
finally:
dev[0].request("VENDOR_ELEM_REMOVE 1 *")
def test_p2p_ext_discovery_go(dev):
"""P2P device discovery with vendor specific extensions for GO"""
addr0 = dev[0].p2p_dev_addr()
addr1 = dev[1].p2p_dev_addr()
try:
if "OK" not in dev[0].request("VENDOR_ELEM_ADD 2 dd050011223344dd06001122335566"):
raise Exception("VENDOR_ELEM_ADD failed")
if "OK" not in dev[0].request("VENDOR_ELEM_ADD 3 dd050011223344dd06001122335566"):
raise Exception("VENDOR_ELEM_ADD failed")
if "OK" not in dev[0].request("VENDOR_ELEM_ADD 12 dd050011223344dd06001122335566"):
raise Exception("VENDOR_ELEM_ADD failed")
dev[0].p2p_start_go(freq="2412")
if not dev[1].discover_peer(addr0):
raise Exception("Device discovery timed out")
peer = dev[1].get_peer(addr0)
if peer['vendor_elems'] != "dd050011223344dd06001122335566":
print peer['vendor_elems']
raise Exception("Vendor elements not reported correctly")
finally:
dev[0].request("VENDOR_ELEM_REMOVE 2 *")
dev[0].request("VENDOR_ELEM_REMOVE 3 *")
dev[0].request("VENDOR_ELEM_REMOVE 12 *")
| 47.241758
| 91
| 0.650384
| 550
| 4,299
| 4.883636
| 0.136364
| 0.156366
| 0.094192
| 0.14557
| 0.905436
| 0.876396
| 0.839911
| 0.670514
| 0.634028
| 0.59866
| 0
| 0.127698
| 0.234938
| 4,299
| 90
| 92
| 47.766667
| 0.688963
| 0.018144
| 0
| 0.539474
| 0
| 0
| 0.398291
| 0.058608
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.013158
| null | null | 0.013158
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
8ad596dcfcb6e7c71addc5f7193aa5d8dcddb0d3
| 69
|
py
|
Python
|
gs/group/member/add/json/__init__.py
|
groupserver/gs.group.member.add.json
|
4d12d942c0d0d5ed8888218631102a352730be47
|
[
"ZPL-2.1"
] | null | null | null |
gs/group/member/add/json/__init__.py
|
groupserver/gs.group.member.add.json
|
4d12d942c0d0d5ed8888218631102a352730be47
|
[
"ZPL-2.1"
] | null | null | null |
gs/group/member/add/json/__init__.py
|
groupserver/gs.group.member.add.json
|
4d12d942c0d0d5ed8888218631102a352730be47
|
[
"ZPL-2.1"
] | null | null | null |
# -*- coding: utf-8 -*-
# This space intentially left (almost) blank
| 23
| 44
| 0.652174
| 9
| 69
| 5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.017544
| 0.173913
| 69
| 2
| 45
| 34.5
| 0.77193
| 0.927536
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
76e34740793af2d99cf758f4c36d62e3a7c231f2
| 13,327
|
py
|
Python
|
sdk/python/pulumi_newrelic/nrql_drop_rule.py
|
bob-bins/pulumi-newrelic
|
f8a121fb7d6e6ad979d3ccf72467b9e89769e305
|
[
"ECL-2.0",
"Apache-2.0"
] | 6
|
2019-09-17T20:41:26.000Z
|
2022-01-13T23:54:14.000Z
|
sdk/python/pulumi_newrelic/nrql_drop_rule.py
|
bob-bins/pulumi-newrelic
|
f8a121fb7d6e6ad979d3ccf72467b9e89769e305
|
[
"ECL-2.0",
"Apache-2.0"
] | 136
|
2019-04-29T21:34:57.000Z
|
2022-03-30T17:07:03.000Z
|
sdk/python/pulumi_newrelic/nrql_drop_rule.py
|
bob-bins/pulumi-newrelic
|
f8a121fb7d6e6ad979d3ccf72467b9e89769e305
|
[
"ECL-2.0",
"Apache-2.0"
] | 3
|
2019-10-05T10:33:59.000Z
|
2021-06-15T16:37:49.000Z
|
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from . import _utilities
__all__ = ['NrqlDropRuleArgs', 'NrqlDropRule']
@pulumi.input_type
class NrqlDropRuleArgs:
def __init__(__self__, *,
action: pulumi.Input[str],
nrql: pulumi.Input[str],
account_id: Optional[pulumi.Input[int]] = None,
description: Optional[pulumi.Input[str]] = None):
"""
The set of arguments for constructing a NrqlDropRule resource.
:param pulumi.Input[str] action: An action type specifying how to apply the NRQL string (either `drop_data` or `drop_attributes`).
:param pulumi.Input[str] nrql: A NRQL string that specifies what data types to drop.
:param pulumi.Input[int] account_id: Account where the drop rule will be put. Defaults to the account associated with the API key used.
:param pulumi.Input[str] description: The description of the drop rule.
"""
pulumi.set(__self__, "action", action)
pulumi.set(__self__, "nrql", nrql)
if account_id is not None:
pulumi.set(__self__, "account_id", account_id)
if description is not None:
pulumi.set(__self__, "description", description)
@property
@pulumi.getter
def action(self) -> pulumi.Input[str]:
"""
An action type specifying how to apply the NRQL string (either `drop_data` or `drop_attributes`).
"""
return pulumi.get(self, "action")
@action.setter
def action(self, value: pulumi.Input[str]):
pulumi.set(self, "action", value)
@property
@pulumi.getter
def nrql(self) -> pulumi.Input[str]:
"""
A NRQL string that specifies what data types to drop.
"""
return pulumi.get(self, "nrql")
@nrql.setter
def nrql(self, value: pulumi.Input[str]):
pulumi.set(self, "nrql", value)
@property
@pulumi.getter(name="accountId")
def account_id(self) -> Optional[pulumi.Input[int]]:
"""
Account where the drop rule will be put. Defaults to the account associated with the API key used.
"""
return pulumi.get(self, "account_id")
@account_id.setter
def account_id(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "account_id", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
"""
The description of the drop rule.
"""
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@pulumi.input_type
class _NrqlDropRuleState:
def __init__(__self__, *,
account_id: Optional[pulumi.Input[int]] = None,
action: Optional[pulumi.Input[str]] = None,
description: Optional[pulumi.Input[str]] = None,
nrql: Optional[pulumi.Input[str]] = None,
rule_id: Optional[pulumi.Input[str]] = None):
"""
Input properties used for looking up and filtering NrqlDropRule resources.
:param pulumi.Input[int] account_id: Account where the drop rule will be put. Defaults to the account associated with the API key used.
:param pulumi.Input[str] action: An action type specifying how to apply the NRQL string (either `drop_data` or `drop_attributes`).
:param pulumi.Input[str] description: The description of the drop rule.
:param pulumi.Input[str] nrql: A NRQL string that specifies what data types to drop.
:param pulumi.Input[str] rule_id: The id, uniquely identifying the rule.
"""
if account_id is not None:
pulumi.set(__self__, "account_id", account_id)
if action is not None:
pulumi.set(__self__, "action", action)
if description is not None:
pulumi.set(__self__, "description", description)
if nrql is not None:
pulumi.set(__self__, "nrql", nrql)
if rule_id is not None:
pulumi.set(__self__, "rule_id", rule_id)
@property
@pulumi.getter(name="accountId")
def account_id(self) -> Optional[pulumi.Input[int]]:
"""
Account where the drop rule will be put. Defaults to the account associated with the API key used.
"""
return pulumi.get(self, "account_id")
@account_id.setter
def account_id(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "account_id", value)
@property
@pulumi.getter
def action(self) -> Optional[pulumi.Input[str]]:
"""
An action type specifying how to apply the NRQL string (either `drop_data` or `drop_attributes`).
"""
return pulumi.get(self, "action")
@action.setter
def action(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "action", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
"""
The description of the drop rule.
"""
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@property
@pulumi.getter
def nrql(self) -> Optional[pulumi.Input[str]]:
"""
A NRQL string that specifies what data types to drop.
"""
return pulumi.get(self, "nrql")
@nrql.setter
def nrql(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "nrql", value)
@property
@pulumi.getter(name="ruleId")
def rule_id(self) -> Optional[pulumi.Input[str]]:
"""
The id, uniquely identifying the rule.
"""
return pulumi.get(self, "rule_id")
@rule_id.setter
def rule_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "rule_id", value)
class NrqlDropRule(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
account_id: Optional[pulumi.Input[int]] = None,
action: Optional[pulumi.Input[str]] = None,
description: Optional[pulumi.Input[str]] = None,
nrql: Optional[pulumi.Input[str]] = None,
__props__=None):
"""
## Import
New Relic NRQL drop rules can be imported using a concatenated string of the format
`<account_id>:<rule_id>`, e.g. bash
```sh
$ pulumi import newrelic:index/nrqlDropRule:NrqlDropRule foo 12345:34567
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[int] account_id: Account where the drop rule will be put. Defaults to the account associated with the API key used.
:param pulumi.Input[str] action: An action type specifying how to apply the NRQL string (either `drop_data` or `drop_attributes`).
:param pulumi.Input[str] description: The description of the drop rule.
:param pulumi.Input[str] nrql: A NRQL string that specifies what data types to drop.
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: NrqlDropRuleArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
## Import
New Relic NRQL drop rules can be imported using a concatenated string of the format
`<account_id>:<rule_id>`, e.g. bash
```sh
$ pulumi import newrelic:index/nrqlDropRule:NrqlDropRule foo 12345:34567
```
:param str resource_name: The name of the resource.
:param NrqlDropRuleArgs args: The arguments to use to populate this resource's properties.
:param pulumi.ResourceOptions opts: Options for the resource.
"""
...
def __init__(__self__, resource_name: str, *args, **kwargs):
resource_args, opts = _utilities.get_resource_args_opts(NrqlDropRuleArgs, pulumi.ResourceOptions, *args, **kwargs)
if resource_args is not None:
__self__._internal_init(resource_name, opts, **resource_args.__dict__)
else:
__self__._internal_init(resource_name, *args, **kwargs)
def _internal_init(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
account_id: Optional[pulumi.Input[int]] = None,
action: Optional[pulumi.Input[str]] = None,
description: Optional[pulumi.Input[str]] = None,
nrql: Optional[pulumi.Input[str]] = None,
__props__=None):
if opts is None:
opts = pulumi.ResourceOptions()
if not isinstance(opts, pulumi.ResourceOptions):
raise TypeError('Expected resource options to be a ResourceOptions instance')
if opts.version is None:
opts.version = _utilities.get_version()
if opts.id is None:
if __props__ is not None:
raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource')
__props__ = NrqlDropRuleArgs.__new__(NrqlDropRuleArgs)
__props__.__dict__["account_id"] = account_id
if action is None and not opts.urn:
raise TypeError("Missing required property 'action'")
__props__.__dict__["action"] = action
__props__.__dict__["description"] = description
if nrql is None and not opts.urn:
raise TypeError("Missing required property 'nrql'")
__props__.__dict__["nrql"] = nrql
__props__.__dict__["rule_id"] = None
super(NrqlDropRule, __self__).__init__(
'newrelic:index/nrqlDropRule:NrqlDropRule',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
account_id: Optional[pulumi.Input[int]] = None,
action: Optional[pulumi.Input[str]] = None,
description: Optional[pulumi.Input[str]] = None,
nrql: Optional[pulumi.Input[str]] = None,
rule_id: Optional[pulumi.Input[str]] = None) -> 'NrqlDropRule':
"""
Get an existing NrqlDropRule resource's state with the given name, id, and optional extra
properties used to qualify the lookup.
:param str resource_name: The unique name of the resulting resource.
:param pulumi.Input[str] id: The unique provider ID of the resource to lookup.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[int] account_id: Account where the drop rule will be put. Defaults to the account associated with the API key used.
:param pulumi.Input[str] action: An action type specifying how to apply the NRQL string (either `drop_data` or `drop_attributes`).
:param pulumi.Input[str] description: The description of the drop rule.
:param pulumi.Input[str] nrql: A NRQL string that specifies what data types to drop.
:param pulumi.Input[str] rule_id: The id, uniquely identifying the rule.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _NrqlDropRuleState.__new__(_NrqlDropRuleState)
__props__.__dict__["account_id"] = account_id
__props__.__dict__["action"] = action
__props__.__dict__["description"] = description
__props__.__dict__["nrql"] = nrql
__props__.__dict__["rule_id"] = rule_id
return NrqlDropRule(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter(name="accountId")
def account_id(self) -> pulumi.Output[int]:
"""
Account where the drop rule will be put. Defaults to the account associated with the API key used.
"""
return pulumi.get(self, "account_id")
@property
@pulumi.getter
def action(self) -> pulumi.Output[str]:
"""
An action type specifying how to apply the NRQL string (either `drop_data` or `drop_attributes`).
"""
return pulumi.get(self, "action")
@property
@pulumi.getter
def description(self) -> pulumi.Output[Optional[str]]:
"""
The description of the drop rule.
"""
return pulumi.get(self, "description")
@property
@pulumi.getter
def nrql(self) -> pulumi.Output[str]:
"""
A NRQL string that specifies what data types to drop.
"""
return pulumi.get(self, "nrql")
@property
@pulumi.getter(name="ruleId")
def rule_id(self) -> pulumi.Output[str]:
"""
The id, uniquely identifying the rule.
"""
return pulumi.get(self, "rule_id")
| 39.78209
| 143
| 0.628649
| 1,595
| 13,327
| 5.047649
| 0.104702
| 0.08471
| 0.081729
| 0.068315
| 0.786486
| 0.757173
| 0.735064
| 0.690722
| 0.66352
| 0.64228
| 0
| 0.002155
| 0.268853
| 13,327
| 334
| 144
| 39.901198
| 0.824097
| 0.314099
| 0
| 0.630208
| 1
| 0
| 0.078891
| 0.00476
| 0
| 0
| 0
| 0
| 0
| 1
| 0.15625
| false
| 0.005208
| 0.026042
| 0
| 0.276042
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
76f31e51ce9a21684ea781d4d246debbe2644f94
| 198
|
py
|
Python
|
confirm_Alice.py
|
To-Fujita/ChatBot_with_ParlAI
|
fd067731552a49d50780ee442d44794e13dc34d0
|
[
"MIT"
] | 1
|
2021-08-06T11:24:10.000Z
|
2021-08-06T11:24:10.000Z
|
confirm_Alice.py
|
To-Fujita/ChatBot_with_ParlAI
|
fd067731552a49d50780ee442d44794e13dc34d0
|
[
"MIT"
] | null | null | null |
confirm_Alice.py
|
To-Fujita/ChatBot_with_ParlAI
|
fd067731552a49d50780ee442d44794e13dc34d0
|
[
"MIT"
] | null | null | null |
# Confirm ParlAI Agent for Alice by T. Fujita 2021/08/01
import sys
sys.path.append('./ParlAI-master/')
from parlai.scripts.interactive import Interactive
Interactive.main(model='alice')
| 22
| 57
| 0.742424
| 28
| 198
| 5.25
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.047337
| 0.146465
| 198
| 8
| 58
| 24.75
| 0.822485
| 0.272727
| 0
| 0
| 0
| 0
| 0.156716
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
0a0f871f04fbf756ae025446b46603cd70ca814e
| 180
|
py
|
Python
|
coyote_framework/config/browser_config.py
|
vaibhavrastogi1988/python_testing_framework
|
583a2286479ed0ccda309c866a403dc92fa1bb3b
|
[
"MIT"
] | null | null | null |
coyote_framework/config/browser_config.py
|
vaibhavrastogi1988/python_testing_framework
|
583a2286479ed0ccda309c866a403dc92fa1bb3b
|
[
"MIT"
] | null | null | null |
coyote_framework/config/browser_config.py
|
vaibhavrastogi1988/python_testing_framework
|
583a2286479ed0ccda309c866a403dc92fa1bb3b
|
[
"MIT"
] | null | null | null |
from coyote_framework.config.abstract_config import ConfigBase
class BrowserConfig(ConfigBase):
def __init__(self):
super(BrowserConfig, self).__init__('browser')
| 18
| 62
| 0.761111
| 19
| 180
| 6.684211
| 0.736842
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.15
| 180
| 9
| 63
| 20
| 0.830065
| 0
| 0
| 0
| 0
| 0
| 0.039326
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
0a1c78cf7cf91b7152a06ec58f14117ab5359b93
| 429
|
py
|
Python
|
rendering_widgets/abstract_gui_base.py
|
JohannaLatt/SHM-Mirror
|
b5ce0c6a9c16761a9cc19f8b8769d1636477cc3c
|
[
"MIT"
] | null | null | null |
rendering_widgets/abstract_gui_base.py
|
JohannaLatt/SHM-Mirror
|
b5ce0c6a9c16761a9cc19f8b8769d1636477cc3c
|
[
"MIT"
] | null | null | null |
rendering_widgets/abstract_gui_base.py
|
JohannaLatt/SHM-Mirror
|
b5ce0c6a9c16761a9cc19f8b8769d1636477cc3c
|
[
"MIT"
] | null | null | null |
from abc import ABC, abstractmethod
class AbstractGUIBase(ABC):
@abstractmethod
def render_skeleton_data(self, data_str):
pass
@abstractmethod
def change_joint_or_bone_color(self, data_str):
pass
@abstractmethod
def clear_skeleton(self):
pass
@abstractmethod
def show_text(self, data):
pass
@abstractmethod
def update_graps(self, data):
pass
| 17.16
| 51
| 0.659674
| 48
| 429
| 5.666667
| 0.479167
| 0.3125
| 0.308824
| 0.110294
| 0.235294
| 0.235294
| 0
| 0
| 0
| 0
| 0
| 0
| 0.275058
| 429
| 24
| 52
| 17.875
| 0.874598
| 0
| 0
| 0.588235
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.294118
| false
| 0.294118
| 0.058824
| 0
| 0.411765
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
0a25b8218b03ff4e0d0a5d6d6d0c97d95e4d3302
| 226
|
py
|
Python
|
django101/django101/web/admin.py
|
Minkov/python-web-framework-demos-
|
30f39de0b4344e1b7e5d4cf96f6d6bbbfe867305
|
[
"MIT"
] | 2
|
2022-03-06T11:56:35.000Z
|
2022-03-20T09:31:45.000Z
|
django101/django101/web/admin.py
|
Minkov/python-web-framework-demos-
|
30f39de0b4344e1b7e5d4cf96f6d6bbbfe867305
|
[
"MIT"
] | null | null | null |
django101/django101/web/admin.py
|
Minkov/python-web-framework-demos-
|
30f39de0b4344e1b7e5d4cf96f6d6bbbfe867305
|
[
"MIT"
] | 4
|
2022-03-17T18:05:19.000Z
|
2022-03-22T16:38:11.000Z
|
from django.contrib import admin
from django101.web.models import Todo, Category
@admin.register(Todo)
class TodoAdmin(admin.ModelAdmin):
pass
@admin.register(Category)
class CategoryAdmin(admin.ModelAdmin):
pass
| 16.142857
| 47
| 0.778761
| 28
| 226
| 6.285714
| 0.571429
| 0.147727
| 0.215909
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.015306
| 0.132743
| 226
| 13
| 48
| 17.384615
| 0.882653
| 0
| 0
| 0.25
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.25
| 0.25
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
0a3474cad566eef0c77e26114ed88715bf9096bc
| 82
|
py
|
Python
|
transcrypt/development/automated_tests/hello/testlet1.py
|
bitwiseman/Transcrypt
|
c77fb8064f0466a33469df9a2f38a4fb9c6eaa51
|
[
"Apache-2.0"
] | 1
|
2021-08-23T21:06:32.000Z
|
2021-08-23T21:06:32.000Z
|
transcrypt/development/automated_tests/hello/testlet1.py
|
bitwiseman/Transcrypt
|
c77fb8064f0466a33469df9a2f38a4fb9c6eaa51
|
[
"Apache-2.0"
] | null | null | null |
transcrypt/development/automated_tests/hello/testlet1.py
|
bitwiseman/Transcrypt
|
c77fb8064f0466a33469df9a2f38a4fb9c6eaa51
|
[
"Apache-2.0"
] | null | null | null |
def run (autoTester):
autoTester.check ('goodbye')
autoTester.check ('moon')
| 20.5
| 30
| 0.695122
| 9
| 82
| 6.333333
| 0.666667
| 0.526316
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.146341
| 82
| 3
| 31
| 27.333333
| 0.814286
| 0
| 0
| 0
| 0
| 0
| 0.139241
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
0a45e67fb01b26c0f6e2d2f03f32d4b8042cd06b
| 237
|
py
|
Python
|
pythonproject/oddeven.py
|
sangampatel/pythonproject
|
c6c690fd5d4fa62023db15cf10bdedeeb8b44a41
|
[
"Apache-2.0"
] | null | null | null |
pythonproject/oddeven.py
|
sangampatel/pythonproject
|
c6c690fd5d4fa62023db15cf10bdedeeb8b44a41
|
[
"Apache-2.0"
] | null | null | null |
pythonproject/oddeven.py
|
sangampatel/pythonproject
|
c6c690fd5d4fa62023db15cf10bdedeeb8b44a41
|
[
"Apache-2.0"
] | null | null | null |
print("Enter The Number n")
n = int(input())
if (n%2)!=0:
print("Weird")
elif (n%2)==0:
if n in range(2,5):
print("Not Weird")
elif n in range(6,21):
print("Weird")
elif n > 20:
print("Not Weird")
| 19.75
| 27
| 0.510549
| 41
| 237
| 2.95122
| 0.463415
| 0.223141
| 0.247934
| 0.247934
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.065476
| 0.291139
| 237
| 11
| 28
| 21.545455
| 0.654762
| 0
| 0
| 0.363636
| 0
| 0
| 0.194093
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.454545
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
0a4700b8da1905b719d74e0f7a2ab55be961d857
| 192
|
py
|
Python
|
tests/unit_tests/cellular/__init__.py
|
fqzhou/LoadBalanceControl-RL
|
689eec3b3b27e121aa45d2793e411f1863f6fc0b
|
[
"MIT"
] | 11
|
2018-10-29T06:50:43.000Z
|
2022-03-28T14:26:09.000Z
|
tests/unit_tests/cellular/__init__.py
|
fqzhou/LoadBalanceControl-RL
|
689eec3b3b27e121aa45d2793e411f1863f6fc0b
|
[
"MIT"
] | 1
|
2022-03-01T13:46:25.000Z
|
2022-03-01T13:46:25.000Z
|
tests/unit_tests/cellular/__init__.py
|
fqzhou/LoadBalanceControl-RL
|
689eec3b3b27e121aa45d2793e411f1863f6fc0b
|
[
"MIT"
] | 6
|
2019-02-05T20:01:53.000Z
|
2020-09-04T12:30:00.000Z
|
#! /usr/bin/env python3
# -*- coding: utf-8 -*-
""" Unit test cases for cellular environment and algorithms """
__author__ = 'Ari Saha (arisaha@icloud.com), Mingyang Liu(liux3941@umn.edu)'
| 24
| 76
| 0.6875
| 26
| 192
| 4.923077
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.036585
| 0.145833
| 192
| 7
| 77
| 27.428571
| 0.743902
| 0.526042
| 0
| 0
| 0
| 0
| 0.73494
| 0.506024
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
0a4e7499ab7b0074c5a49e4113f85edbe58de1fc
| 74
|
py
|
Python
|
ideal/contrib/django/ideal_compat/__init__.py
|
maykinmedia/python-ideal
|
bb1ab14a49d2032f89d0816d65986c9f427aad97
|
[
"MIT"
] | 8
|
2018-02-12T10:22:57.000Z
|
2019-11-14T16:10:28.000Z
|
ideal/contrib/django/ideal_compat/__init__.py
|
maykinmedia/python-ideal
|
bb1ab14a49d2032f89d0816d65986c9f427aad97
|
[
"MIT"
] | 5
|
2018-02-12T09:15:46.000Z
|
2018-02-23T12:43:29.000Z
|
ideal/contrib/django/ideal_compat/__init__.py
|
maykinmedia/python-ideal
|
bb1ab14a49d2032f89d0816d65986c9f427aad97
|
[
"MIT"
] | 1
|
2018-02-15T12:29:05.000Z
|
2018-02-15T12:29:05.000Z
|
default_app_config = 'ideal.contrib.django.ideal_compat.apps.IdealConfig'
| 37
| 73
| 0.851351
| 10
| 74
| 6
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.040541
| 74
| 1
| 74
| 74
| 0.84507
| 0
| 0
| 0
| 0
| 0
| 0.675676
| 0.675676
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
0a561f90eab84dccb02ee3fb5d5cc64a04e7cdda
| 26
|
py
|
Python
|
scripts/scale/__init__.py
|
atsgen/tf-test
|
2748fcd81491450c75dadc71849d2a1c11061029
|
[
"Apache-2.0"
] | 5
|
2020-09-29T00:36:57.000Z
|
2022-02-16T06:51:32.000Z
|
scripts/scale/__init__.py
|
vkolli/contrail-test-perf
|
db04b8924a2c330baabe3059788b149d957a7d67
|
[
"Apache-2.0"
] | 27
|
2019-11-02T02:18:34.000Z
|
2022-02-24T18:49:08.000Z
|
scripts/scale/__init__.py
|
vkolli/contrail-test-perf
|
db04b8924a2c330baabe3059788b149d957a7d67
|
[
"Apache-2.0"
] | 20
|
2019-11-28T16:02:25.000Z
|
2022-01-06T05:56:58.000Z
|
"""scale test package."""
| 13
| 25
| 0.615385
| 3
| 26
| 5.333333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.115385
| 26
| 1
| 26
| 26
| 0.695652
| 0.730769
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
0a58dd6b60ea5d3b8cc87ac39aa1a3f31a06d13e
| 65
|
py
|
Python
|
src/config.py
|
tkowalski9938/Boosted-Bot
|
6bfe4290e5df541106fe068753cc7864c93782ad
|
[
"MIT"
] | 3
|
2021-05-25T03:05:36.000Z
|
2022-01-15T01:17:19.000Z
|
src/config.py
|
tkowalski9938/Boosted-Bot
|
6bfe4290e5df541106fe068753cc7864c93782ad
|
[
"MIT"
] | null | null | null |
src/config.py
|
tkowalski9938/Boosted-Bot
|
6bfe4290e5df541106fe068753cc7864c93782ad
|
[
"MIT"
] | null | null | null |
DISCORD_API_KEY = ""
RIOT_API_KEY = ""
BOOSTED_BOT_CHANNEL_ID =
| 16.25
| 25
| 0.753846
| 10
| 65
| 4.2
| 0.8
| 0.285714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.138462
| 65
| 3
| 26
| 21.666667
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
6a5c63000c6ccb9ee39ed83b4f2f5e8dc47df468
| 170
|
py
|
Python
|
rusty/http/responses.py
|
justanotherbyte/Rusty
|
0132c44a99ebc36f31c70482b19161196f41bc5e
|
[
"MIT"
] | 1
|
2021-09-03T13:03:16.000Z
|
2021-09-03T13:03:16.000Z
|
rusty/http/responses.py
|
justanotherbyte/Rusty
|
0132c44a99ebc36f31c70482b19161196f41bc5e
|
[
"MIT"
] | null | null | null |
rusty/http/responses.py
|
justanotherbyte/Rusty
|
0132c44a99ebc36f31c70482b19161196f41bc5e
|
[
"MIT"
] | 1
|
2021-12-24T12:33:09.000Z
|
2021-12-24T12:33:09.000Z
|
from starlette.responses import (
JSONResponse,
HTMLResponse,
Response,
FileResponse,
RedirectResponse,
PlainTextResponse,
StreamingResponse
)
| 18.888889
| 33
| 0.717647
| 11
| 170
| 11.090909
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.229412
| 170
| 9
| 34
| 18.888889
| 0.931298
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.111111
| 0
| 0.111111
| 0
| 1
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
6a61b759a3cb54d94695e1f7dac27837108bb966
| 250
|
py
|
Python
|
src/bt/char.py
|
btdevel/bt
|
23abdf0860484a4adcfbe2bcbe94eebca7f820fd
|
[
"MIT"
] | 1
|
2017-06-30T00:35:05.000Z
|
2017-06-30T00:35:05.000Z
|
src/bt/char.py
|
btdevel/bt
|
23abdf0860484a4adcfbe2bcbe94eebca7f820fd
|
[
"MIT"
] | null | null | null |
src/bt/char.py
|
btdevel/bt
|
23abdf0860484a4adcfbe2bcbe94eebca7f820fd
|
[
"MIT"
] | null | null | null |
# this module contains just some ideas, nothing of which is finished yet
# i don't know yet where to put general character stuff/game specific stuff
# and bt1/2/3/ specific stuff
# so currently stuff is in bt.game
from bt.game.character import *
| 31.25
| 75
| 0.76
| 44
| 250
| 4.318182
| 0.772727
| 0.136842
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.014706
| 0.184
| 250
| 7
| 76
| 35.714286
| 0.916667
| 0.824
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
6a78eb55c0a74dd504c7e7a03d54527991378196
| 113
|
py
|
Python
|
docker_bilibili/bilibili/data_init/init_scripts/__init__.py
|
PyDee/Spiders
|
6fc0a414060032b5ba4332302285e3fcc9a6113e
|
[
"Apache-2.0"
] | 6
|
2020-06-02T16:22:58.000Z
|
2021-09-18T03:20:16.000Z
|
docker_bilibili/bilibili/data_init/init_scripts/__init__.py
|
PyDee/Spiders
|
6fc0a414060032b5ba4332302285e3fcc9a6113e
|
[
"Apache-2.0"
] | 4
|
2021-03-31T19:54:37.000Z
|
2022-03-12T00:33:41.000Z
|
docker_bilibili/bilibili/data_init/init_scripts/__init__.py
|
PyDee/Spiders
|
6fc0a414060032b5ba4332302285e3fcc9a6113e
|
[
"Apache-2.0"
] | 5
|
2020-06-02T16:23:00.000Z
|
2021-09-03T02:16:15.000Z
|
# -*- coding: utf-8 -*-
"""
@Time : 2020/11/26 15:38
@Author : PyDee
@File : __init__.py.py
@description :
"""
| 14.125
| 24
| 0.566372
| 16
| 113
| 3.75
| 0.9375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.141304
| 0.185841
| 113
| 7
| 25
| 16.142857
| 0.51087
| 0.902655
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
6acb4841509568b9454a968d24e6bfab0ecc0c98
| 87
|
py
|
Python
|
tests/periodicities/Day/Cycle_Day_1600_D_5.py
|
jmabry/pyaf
|
afbc15a851a2445a7824bf255af612dc429265af
|
[
"BSD-3-Clause"
] | null | null | null |
tests/periodicities/Day/Cycle_Day_1600_D_5.py
|
jmabry/pyaf
|
afbc15a851a2445a7824bf255af612dc429265af
|
[
"BSD-3-Clause"
] | 1
|
2019-11-30T23:39:38.000Z
|
2019-12-01T04:34:35.000Z
|
tests/periodicities/Day/Cycle_Day_1600_D_5.py
|
jmabry/pyaf
|
afbc15a851a2445a7824bf255af612dc429265af
|
[
"BSD-3-Clause"
] | null | null | null |
import pyaf.tests.periodicities.period_test as per
per.buildModel((5 , 'D' , 1600));
| 17.4
| 50
| 0.724138
| 13
| 87
| 4.769231
| 0.923077
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.065789
| 0.126437
| 87
| 4
| 51
| 21.75
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0.011628
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
6aea4e8c17ca65eaf6bc3d4071033fc0cae2a9e8
| 5,068
|
py
|
Python
|
test/test_role_api.py
|
gustavs408650/looker_sdk_30
|
8b52449f216b2cb3b84f09e2856bcea1ed4a2b0c
|
[
"MIT"
] | null | null | null |
test/test_role_api.py
|
gustavs408650/looker_sdk_30
|
8b52449f216b2cb3b84f09e2856bcea1ed4a2b0c
|
[
"MIT"
] | null | null | null |
test/test_role_api.py
|
gustavs408650/looker_sdk_30
|
8b52449f216b2cb3b84f09e2856bcea1ed4a2b0c
|
[
"MIT"
] | 1
|
2019-11-12T10:05:51.000Z
|
2019-11-12T10:05:51.000Z
|
# coding: utf-8
"""
Looker API 3.0 Reference
### Authorization The Looker API uses Looker **API3** credentials for authorization and access control. Looker admins can create API3 credentials on Looker's **Admin/Users** page. Pass API3 credentials to the **/login** endpoint to obtain a temporary access_token. Include that access_token in the Authorization header of Looker API requests. For details, see [Looker API Authorization](https://looker.com/docs/r/api/authorization) ### Client SDKs The Looker API is a RESTful system that should be usable by any programming language capable of making HTTPS requests. Client SDKs for a variety of programming languages can be generated from the Looker API's Swagger JSON metadata to streamline use of the Looker API in your applications. A client SDK for Ruby is available as an example. For more information, see [Looker API Client SDKs](https://looker.com/docs/r/api/client_sdks) ### Try It Out! The 'api-docs' page served by the Looker instance includes 'Try It Out!' buttons for each API method. After logging in with API3 credentials, you can use the \"Try It Out!\" buttons to call the API directly from the documentation page to interactively explore API features and responses. ### Versioning Future releases of Looker will expand this API release-by-release to securely expose more and more of the core power of Looker to API client applications. API endpoints marked as \"beta\" may receive breaking changes without warning. Stable (non-beta) API endpoints should not receive breaking changes in future releases. For more information, see [Looker API Versioning](https://looker.com/docs/r/api/versioning) # noqa: E501
OpenAPI spec version: 3.0.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import unittest
import looker_client_30
from looker_client_30.api.role_api import RoleApi # noqa: E501
from looker_client_30.rest import ApiException
class TestRoleApi(unittest.TestCase):
"""RoleApi unit test stubs"""
def setUp(self):
self.api = looker_client_30.api.role_api.RoleApi() # noqa: E501
def tearDown(self):
pass
def test_all_model_sets(self):
"""Test case for all_model_sets
Get All Model Sets # noqa: E501
"""
pass
def test_all_permission_sets(self):
"""Test case for all_permission_sets
Get All Permission Sets # noqa: E501
"""
pass
def test_all_permissions(self):
"""Test case for all_permissions
Get All Permissions # noqa: E501
"""
pass
def test_all_roles(self):
"""Test case for all_roles
Get All Roles # noqa: E501
"""
pass
def test_create_model_set(self):
"""Test case for create_model_set
Create Model Set # noqa: E501
"""
pass
def test_create_permission_set(self):
"""Test case for create_permission_set
Create Permission Set # noqa: E501
"""
pass
def test_create_role(self):
"""Test case for create_role
Create Role # noqa: E501
"""
pass
def test_delete_model_set(self):
"""Test case for delete_model_set
Delete Model Set # noqa: E501
"""
pass
def test_delete_permission_set(self):
"""Test case for delete_permission_set
Delete Permission Set # noqa: E501
"""
pass
def test_delete_role(self):
"""Test case for delete_role
Delete Role # noqa: E501
"""
pass
def test_model_set(self):
"""Test case for model_set
Get Model Set # noqa: E501
"""
pass
def test_permission_set(self):
"""Test case for permission_set
Get Permission Set # noqa: E501
"""
pass
def test_role(self):
"""Test case for role
Get Role # noqa: E501
"""
pass
def test_role_groups(self):
"""Test case for role_groups
Get Role Groups # noqa: E501
"""
pass
def test_role_users(self):
"""Test case for role_users
Get Role Users # noqa: E501
"""
pass
def test_set_role_groups(self):
"""Test case for set_role_groups
Update Role Groups # noqa: E501
"""
pass
def test_set_role_users(self):
"""Test case for set_role_users
Update Role Users # noqa: E501
"""
pass
def test_update_model_set(self):
"""Test case for update_model_set
Update Model Set # noqa: E501
"""
pass
def test_update_permission_set(self):
"""Test case for update_permission_set
Update Permission Set # noqa: E501
"""
pass
def test_update_role(self):
"""Test case for update_role
Update Role # noqa: E501
"""
pass
if __name__ == '__main__':
unittest.main()
| 28.96
| 1,639
| 0.643054
| 679
| 5,068
| 4.646539
| 0.238586
| 0.05832
| 0.069731
| 0.095087
| 0.406973
| 0.363233
| 0.143265
| 0
| 0
| 0
| 0
| 0.023881
| 0.281176
| 5,068
| 174
| 1,640
| 29.126437
| 0.842163
| 0.598066
| 0
| 0.403846
| 0
| 0
| 0.005135
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.423077
| false
| 0.403846
| 0.096154
| 0
| 0.538462
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
6aeaf6dc00bb2d82b281aacfadbd78ef75b41db2
| 343
|
py
|
Python
|
src/pymortests/basic.py
|
fameyer/pymorWin
|
b449a38754fddb719d554f1aacf9280a585f1168
|
[
"Unlicense"
] | null | null | null |
src/pymortests/basic.py
|
fameyer/pymorWin
|
b449a38754fddb719d554f1aacf9280a585f1168
|
[
"Unlicense"
] | null | null | null |
src/pymortests/basic.py
|
fameyer/pymorWin
|
b449a38754fddb719d554f1aacf9280a585f1168
|
[
"Unlicense"
] | null | null | null |
# -*- coding: utf-8 -*-
# This file is part of the pyMOR project (http://www.pymor.org).
# Copyright Holders: Rene Milk, Stephan Rave, Felix Schindler
# License: BSD 2-Clause License (http://opensource.org/licenses/BSD-2-Clause)
from __future__ import absolute_import, division, print_function
def test_importable():
import pymor.basic
| 31.181818
| 77
| 0.74344
| 49
| 343
| 5.061224
| 0.795918
| 0.032258
| 0.080645
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.010135
| 0.137026
| 343
| 10
| 78
| 34.3
| 0.827703
| 0.641399
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| true
| 0
| 1
| 0
| 1.333333
| 0.333333
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
0aa23c40583113d9944e36347faa0ae2c0ad43e4
| 6,207
|
py
|
Python
|
tests/unit/stats/test_measurement_map.py
|
CESARBR/opencensus-python
|
d59ee42037499b25a9307025adeb32ca0681b544
|
[
"Apache-2.0"
] | null | null | null |
tests/unit/stats/test_measurement_map.py
|
CESARBR/opencensus-python
|
d59ee42037499b25a9307025adeb32ca0681b544
|
[
"Apache-2.0"
] | null | null | null |
tests/unit/stats/test_measurement_map.py
|
CESARBR/opencensus-python
|
d59ee42037499b25a9307025adeb32ca0681b544
|
[
"Apache-2.0"
] | 1
|
2019-09-01T06:00:13.000Z
|
2019-09-01T06:00:13.000Z
|
# Copyright 2018, OpenCensus 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.
import unittest
import mock
from opencensus.stats import measurement_map as measurement_map_module
from opencensus.stats.measure_to_view_map import MeasureToViewMap
from opencensus.tags import execution_context
from opencensus.stats.measure import BaseMeasure
from opencensus.stats.measure import MeasureInt
from opencensus.stats import measure_to_view_map as measure_to_view_map_module
from opencensus.stats.view import View
class TestMeasurementMap(unittest.TestCase):
def test_constructor_explicit(self):
measure_to_view_map = {'testMeasure1': 'testVal1'}
measurement_map = measurement_map_module.MeasurementMap(
measure_to_view_map=measure_to_view_map)
self.assertEqual(measure_to_view_map,
measurement_map.measure_to_view_map)
self.assertEqual({}, measurement_map.measurement_map)
def test_measure_int_put(self):
measure_to_view_map = mock.Mock()
test_key = 'testKey'
test_value = 1
measurement_map = measurement_map_module.MeasurementMap(
measure_to_view_map=measure_to_view_map)
measurement_map.measure_int_put(test_key, test_value)
self.assertEqual({'testKey': 1}, measurement_map.measurement_map)
def test_measure_float_put(self):
measure_to_view_map = mock.Mock()
test_key = 'testKey'
test_value = 1.0
measurement_map = measurement_map_module.MeasurementMap(
measure_to_view_map=measure_to_view_map)
measurement_map.measure_float_put(test_key, test_value)
self.assertEqual({'testKey': 1.0}, measurement_map.measurement_map)
def test_put_attachment_none_key(self):
measure_to_view_map = mock.Mock()
test_key = None
test_value = 'testValue'
measurement_map = measurement_map_module.MeasurementMap(
measure_to_view_map=measure_to_view_map, attachments={})
with self.assertRaisesRegexp(TypeError, 'attachment key should not be empty and should be a string'):
measurement_map.measure_put_attachment(test_key, test_value)
def test_put_attachment_none_value(self):
measure_to_view_map = mock.Mock()
test_key = 'testKey'
test_value = None
measurement_map = measurement_map_module.MeasurementMap(
measure_to_view_map=measure_to_view_map, attachments={})
with self.assertRaisesRegexp(TypeError, 'attachment value should not be empty and should be a string'):
measurement_map.measure_put_attachment(test_key, test_value)
def test_put_attachment_int_key(self):
measure_to_view_map = mock.Mock()
test_key = 42
test_value = 'testValue'
measurement_map = measurement_map_module.MeasurementMap(
measure_to_view_map=measure_to_view_map, attachments={})
with self.assertRaisesRegexp(TypeError, 'attachment key should not be empty and should be a string'):
measurement_map.measure_put_attachment(test_key, test_value)
def test_put_attachment_int_value(self):
measure_to_view_map = mock.Mock()
test_key = 'testKey'
test_value = 42
measurement_map = measurement_map_module.MeasurementMap(
measure_to_view_map=measure_to_view_map, attachments={})
with self.assertRaisesRegexp(TypeError, 'attachment value should not be empty and should be a string'):
measurement_map.measure_put_attachment(test_key, test_value)
def test_put_attachment(self):
measure_to_view_map = mock.Mock()
test_key = 'testKey'
test_value = 'testValue'
measurement_map = measurement_map_module.MeasurementMap(
measure_to_view_map=measure_to_view_map, attachments={})
measurement_map.measure_put_attachment(test_key, test_value)
self.assertEqual({'testKey': 'testValue'}, measurement_map.attachments)
def test_put_none_attachment(self):
measure_to_view_map = mock.Mock()
test_key = 'testKey'
test_value = 'testValue'
measurement_map = measurement_map_module.MeasurementMap(
measure_to_view_map=measure_to_view_map)
measurement_map.measure_put_attachment(test_key, test_value)
self.assertEqual({'testKey': 'testValue'}, measurement_map.attachments)
def test_put_multiple_attachment(self):
measure_to_view_map = mock.Mock()
test_key = 'testKey'
test_value = 'testValue'
test_value2 = 'testValue2'
measurement_map = measurement_map_module.MeasurementMap(
measure_to_view_map=measure_to_view_map, attachments={})
measurement_map.measure_put_attachment(test_key, test_value)
measurement_map.measure_put_attachment(test_key, test_value2)
self.assertEqual({test_key: test_value2}, measurement_map.attachments)
def test_record_against_explicit_tag_map(self):
measure_to_view_map = mock.Mock()
measurement_map = measurement_map_module.MeasurementMap(
measure_to_view_map=measure_to_view_map)
tags = {'testtag1': 'testtag1val'}
measurement_map.record(tag_map_tags=tags)
self.assertTrue(measure_to_view_map.record.called)
def test_record_against_implicit_tag_map(self):
measure_to_view_map = mock.Mock()
measurement_map = measurement_map_module.MeasurementMap(
measure_to_view_map=measure_to_view_map)
tags = {'testtag1': 'testtag1val'}
execution_context.set_current_tag_map(tags)
measurement_map.record()
self.assertTrue(measure_to_view_map.record.called)
| 44.335714
| 111
| 0.730304
| 784
| 6,207
| 5.397959
| 0.155612
| 0.15879
| 0.132089
| 0.162571
| 0.760633
| 0.715028
| 0.706285
| 0.668478
| 0.637996
| 0.618147
| 0
| 0.00563
| 0.198808
| 6,207
| 139
| 112
| 44.654676
| 0.845365
| 0.089576
| 0
| 0.603774
| 0
| 0
| 0.078056
| 0
| 0
| 0
| 0
| 0
| 0.122642
| 1
| 0.113208
| false
| 0
| 0.084906
| 0
| 0.207547
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
0abb2e95c5123ad8a5c95149a3f3bfaa2accfc3a
| 262
|
py
|
Python
|
vanko/scrapy/mongo/connection.py
|
ivandeex/scrapoku
|
2a315e0e8ed2228e17ef65a5647523e66a7bbf36
|
[
"BSD-3-Clause"
] | 1
|
2018-05-08T21:29:18.000Z
|
2018-05-08T21:29:18.000Z
|
vanko/scrapy/mongo/connection.py
|
ivandeex/scrapoku
|
2a315e0e8ed2228e17ef65a5647523e66a7bbf36
|
[
"BSD-3-Clause"
] | 10
|
2021-01-07T22:41:57.000Z
|
2022-03-29T23:18:11.000Z
|
vanko/scrapy/mongo/connection.py
|
ivandeex/scrapoku
|
2a315e0e8ed2228e17ef65a5647523e66a7bbf36
|
[
"BSD-3-Clause"
] | 2
|
2020-08-01T10:14:17.000Z
|
2021-05-14T14:59:44.000Z
|
def from_settings(settings_or_url):
from pymongo import MongoClient
if isinstance(settings_or_url, basestring):
url = settings_or_url
else:
url = settings_or_url.get('MONGODB_URL')
return MongoClient(url).get_default_database()
| 26.2
| 50
| 0.725191
| 34
| 262
| 5.235294
| 0.5
| 0.224719
| 0.292135
| 0.179775
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.198473
| 262
| 9
| 51
| 29.111111
| 0.847619
| 0
| 0
| 0
| 0
| 0
| 0.042146
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.142857
| false
| 0
| 0.142857
| 0
| 0.428571
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
0ae67037467deff4f9cfa587587c143d547d5afe
| 205
|
py
|
Python
|
newssimilarity/model/features/source_feature.py
|
imackerracher/NewsSimilarity
|
2e6a85dc9e95ef94bec2339987950f4e88f5d909
|
[
"Apache-2.0"
] | null | null | null |
newssimilarity/model/features/source_feature.py
|
imackerracher/NewsSimilarity
|
2e6a85dc9e95ef94bec2339987950f4e88f5d909
|
[
"Apache-2.0"
] | null | null | null |
newssimilarity/model/features/source_feature.py
|
imackerracher/NewsSimilarity
|
2e6a85dc9e95ef94bec2339987950f4e88f5d909
|
[
"Apache-2.0"
] | null | null | null |
from newssimilarity.model.features.feature import Feature
"""
Feature for source outlet of the article
"""
class SourceFeature(Feature):
def get_feature_name(self):
return self.feature_name
| 18.636364
| 57
| 0.756098
| 26
| 205
| 5.846154
| 0.730769
| 0.144737
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.165854
| 205
| 10
| 58
| 20.5
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0.25
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
0affdd24804236d1ee05bd2968d383a4d62c719f
| 3,902
|
py
|
Python
|
heat/_deprecated/paraheat.py
|
lukasgehrke/paraheat
|
551caf98fd760bebb5ca8af4a51c9acdf58da914
|
[
"BSD-2-Clause"
] | null | null | null |
heat/_deprecated/paraheat.py
|
lukasgehrke/paraheat
|
551caf98fd760bebb5ca8af4a51c9acdf58da914
|
[
"BSD-2-Clause"
] | null | null | null |
heat/_deprecated/paraheat.py
|
lukasgehrke/paraheat
|
551caf98fd760bebb5ca8af4a51c9acdf58da914
|
[
"BSD-2-Clause"
] | null | null | null |
# create a heatmap out of timeseries input data and keep the data structure
# can always be directly used for single subject data as well as at the end to prepare plot? otherwise is used by Analyses to prepare per participant binning
# keep this very simple, stupid
# might have more function for binning later on down the road and can cutout a polygon from the input data before hist binning
# checks data structure whether 2D, 3D or 4D
import abc
import numpy as np
import pandas as pd
from scipy import stats
# import matplotlib.image as mpimg
from dataclasses import dataclass
# TODO
# - call binned_statistic during construction, so attribute heatmap of paraheat is always there
@dataclass
class ParaHeat:
"""Simple wrapper class built around scipy's binned_statistic functions
Returns:
[type]: [description]
"""
name: str
data: pd.DataFrame
heatmap: None # TODO refactoring: rename to binned_statistic
def __post_init__(self):
if self.data is not None:
self.col_names = list(self.data.columns)
@abc.abstractmethod
def binned_statistic(self):
pass
@abc.abstractmethod
def select_aoi(self):
pass
@dataclass
class ParaHeat2D(ParaHeat):
def binned_statistic(self, bins=None, agg_stats_func='count'):
# provide bins and edges or the program makes an educated guess
# freedman rule
if bins is None:
bins = freedman_bins(self.bg_image.shape)
# return hist, xedges, yedges
ret = stats.binned_statistic_2d(self.data[self.col_names[0]], self.data[self.col_names[1]],
None, agg_stats_func, bins=bins)
return ret
def select_aoi(self, aoi):
# cut out polynom from data and retain either the whats outside or inside
pass
@dataclass
class ParaHeat3D(ParaHeat):
def binned_statistic(self):
# return hist, xedges, yedges
ret = stats.binned_statistic_2d(self.data[self.col_names[0]], self.data[self.col_names[1]], self.data[self.col_names[2]],
agg_stats_func, bins=bins)
return ret
def select_aoi(self):
pass
def freedman_bins(size):
# provide bins and edges or the program makes an educated guess
# freedman rule
return int(np.log2(max(size)) * 10)
# Stuff for later implementation
# import scipy.spatial as sp
# def transform_data_to_view_coord(self, p, resolution, pmin, pmax):
# """
# Fit data to image resolution
# Args:
# p ([type]): [description]
# resolution ([type]): [description]
# pmin ([type]): [description]
# pmax ([type]): [description]
# Returns:
# [type]: [description]
# """
# dp = pmax - pmin
# dv = (p - pmin) / dp * resolution
# return dv
# def knn2d(self, neighbours=32, dim=2):
# """[summary]
# Args:
# x ([type]): [description]
# y ([type]): [description]
# resolution ([type]): [description]
# neighbours (int, optional): [description]. Defaults to 32.
# dim (int, optional): [description]. Defaults to 2.
# Returns:
# [type]: [description]
# """
# # Create the tree
# tree = sp.cKDTree(self.data)
# # Find the closest nnmax-1 neighbors (first entry is the point itself)
# # import pdb; pdb.set_trace()
# grid = np.mgrid[0:self.bg_image.shape[0], 0:self.bg_image.shape[1]].T.reshape(self.bg_image.shape[0]*self.bg_image.shape[1], dim)
# dists = tree.query(grid, neighbours)
# # Inverse of the sum of distances to each grid point.
# inv_sum_dists = 1. / dists[0].sum(1)
# # Reshape
# im = inv_sum_dists.reshape(self.bg_image.shape[0], self.bg_image.shape[1])
# return im
| 27.286713
| 157
| 0.627371
| 511
| 3,902
| 4.696673
| 0.379648
| 0.0625
| 0.032083
| 0.046667
| 0.316667
| 0.205833
| 0.198333
| 0.198333
| 0.198333
| 0.198333
| 0
| 0.011997
| 0.273706
| 3,902
| 143
| 158
| 27.286713
| 0.834862
| 0.598411
| 0
| 0.384615
| 0
| 0
| 0.003353
| 0
| 0
| 0
| 0
| 0.013986
| 0
| 1
| 0.205128
| false
| 0.102564
| 0.128205
| 0.025641
| 0.564103
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
7c15165473ddb37a3d2ffe8625fe9159988b25bb
| 3,590
|
py
|
Python
|
backend/lextool/models/user.py
|
Lmineor/Tools
|
cbf58baa84524e763ba6c2bd0c796de912d3f690
|
[
"MIT"
] | 1
|
2020-05-18T13:23:35.000Z
|
2020-05-18T13:23:35.000Z
|
backend/lextool/models/user.py
|
Lmineor/Tools
|
cbf58baa84524e763ba6c2bd0c796de912d3f690
|
[
"MIT"
] | null | null | null |
backend/lextool/models/user.py
|
Lmineor/Tools
|
cbf58baa84524e763ba6c2bd0c796de912d3f690
|
[
"MIT"
] | null | null | null |
import datetime
from werkzeug.security import generate_password_hash, check_password_hash # 转换密码用到的库
from flask_security import UserMixin # 登录和角色需要继承的对象
from itsdangerous import BadSignature, SignatureExpired
from itsdangerous import TimedJSONWebSignatureSerializer as Serializer
from oocfg import cfg
from backend.lextool.models import db
class UserConfig(db.Model):
__tablename__ = 'user_config'
index = db.Column(db.Integer(), primary_key=True)
words_book = db.Column(db.String(10), default='CET4') # 1: CET4, 2 CET6, 3: TOEFL 4: GRE
words_num = db.Column(db.Integer(), default=20)
role = db.Column(db.Boolean, nullable=False) # True:admin, False: common user
user_id = db.Column(db.Integer(), db.ForeignKey('user_user.id'))
create_at = db.Column(db.DateTime, default=datetime.datetime.now)
update_at = db.Column(db.DateTime, default=datetime.datetime.now, onupdate=datetime.datetime.now)
class UserMemo(db.Model):
__tablename__ = 'user_memo'
index = db.Column(db.Integer(), primary_key=True)
memo = db.Column(db.Text(16777216), default="写下你的便签")
user_id = db.Column(db.Integer(), db.ForeignKey('user_user.id'))
create_at = db.Column(db.DateTime, default=datetime.datetime.now)
update_at = db.Column(db.DateTime, default=datetime.datetime.now, onupdate=datetime.datetime.now)
class User(db.Model, UserMixin):
__tablename__ = 'user_user'
id = db.Column(db.Integer(), primary_key=True)
username = db.Column(db.String(80), nullable=False)
email = db.Column(db.String(100), unique=True, nullable=False, index=True)
password_hash = db.Column(db.String(128))
activate = db.Column(db.Boolean, default=False)
create_at = db.Column(db.DateTime, default=datetime.datetime.now)
update_at = db.Column(db.DateTime, default=datetime.datetime.now, onupdate=datetime.datetime.now)
memo = db.relationship("UserMemo", uselist=False, backref="user_user", cascade="delete")
# todo = db.relationship("TODO", uselist=False, backref="user_user", cascade="delete")
config = db.relationship("UserConfig", uselist=False, backref="user_user", cascade="delete")
def __repr__(self):
return "<User_id:{0}>".format(self.id)
@property
def password(self):
raise AttributeError("密码不允许读取")
# 转换密码为hash存入数据库
@password.setter
def password(self, password):
self.password_hash = generate_password_hash(password)
# 检查密码
def check_password_hash(self, password):
return check_password_hash(self.password_hash, password)
# 获取token
def generate_auth_token(self, expiration=cfg.CONF.AUTH.token_expiration):
s = Serializer(cfg.CONF.AUTH.secret_key, expires_in=expiration)
return s.dumps({'id': self.id})
# 解析token，确认登录的用户身份
@staticmethod
def verify_auth_token(token):
s = Serializer(cfg.CONF.AUTH.secret_key)
try:
data = s.loads(token)
except BadSignature as e:
return None # invalid token
except SignatureExpired as e:
return None # token expire
user = User.query.get(data['id'])
return user
@staticmethod
def check_activate_token(token):
s = Serializer(cfg.CONF.AUTH.secret_key)
try:
data = s.loads(token)
except:
return False
u = User.query.get(data['id'])
if not u:
# 用户已被删除
return False
if not u.activate:
u.activate = True
db.session.add(u)
db.session.commit()
return True
| 37.395833
| 101
| 0.681616
| 459
| 3,590
| 5.1939
| 0.276688
| 0.063758
| 0.079698
| 0.042785
| 0.413171
| 0.373742
| 0.373742
| 0.291527
| 0.261326
| 0.261326
| 0
| 0.009766
| 0.201393
| 3,590
| 95
| 102
| 37.789474
| 0.821765
| 0.069638
| 0
| 0.30137
| 1
| 0
| 0.041178
| 0
| 0
| 0
| 0
| 0.010526
| 0
| 1
| 0.09589
| false
| 0.109589
| 0.09589
| 0.027397
| 0.684932
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
7c15d04517e5393f3a7ca33c57625eec546eb664
| 119
|
py
|
Python
|
colour/notation/datasets/__init__.py
|
rift-labs-developer/colour
|
15112dbe824aab0f21447e0db4a046a28a06f43a
|
[
"BSD-3-Clause"
] | 1,380
|
2015-01-10T12:30:33.000Z
|
2022-03-30T10:19:57.000Z
|
colour/notation/datasets/__init__.py
|
rift-labs-developer/colour
|
15112dbe824aab0f21447e0db4a046a28a06f43a
|
[
"BSD-3-Clause"
] | 638
|
2015-01-02T10:49:05.000Z
|
2022-03-29T10:16:22.000Z
|
colour/notation/datasets/__init__.py
|
rift-labs-developer/colour
|
15112dbe824aab0f21447e0db4a046a28a06f43a
|
[
"BSD-3-Clause"
] | 250
|
2015-01-21T15:27:19.000Z
|
2022-03-30T10:23:58.000Z
|
# -*- coding: utf-8 -*-
from .munsell import * # noqa
from . import munsell
__all__ = []
__all__ += munsell.__all__
| 14.875
| 30
| 0.638655
| 14
| 119
| 4.571429
| 0.571429
| 0.3125
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.010526
| 0.201681
| 119
| 7
| 31
| 17
| 0.663158
| 0.218487
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
7c315b065c2d5304cf98765086e7a04a8d206c39
| 9,475
|
py
|
Python
|
experimental/language_structure/psl/psl_model_multiwoz_test_util.py
|
y0ast/uncertainty-baselines
|
8d32c77ba0803ed715c1406378adf10ebd61ab74
|
[
"Apache-2.0"
] | 794
|
2020-07-17T06:23:58.000Z
|
2022-03-31T08:31:53.000Z
|
experimental/language_structure/psl/psl_model_multiwoz_test_util.py
|
y0ast/uncertainty-baselines
|
8d32c77ba0803ed715c1406378adf10ebd61ab74
|
[
"Apache-2.0"
] | 136
|
2020-08-04T22:42:04.000Z
|
2022-03-26T21:07:03.000Z
|
experimental/language_structure/psl/psl_model_multiwoz_test_util.py
|
y0ast/uncertainty-baselines
|
8d32c77ba0803ed715c1406378adf10ebd61ab74
|
[
"Apache-2.0"
] | 129
|
2020-08-16T12:46:55.000Z
|
2022-03-31T23:00:10.000Z
|
# coding=utf-8
# Copyright 2021 The Uncertainty Baselines 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.
# Lint as: python3
"""Util file for psl rules test."""
from typing import List
import tensorflow as tf
LOGITS = [[[0.0, 0.0, 0.4, 0.4, 0.0, 0.2, 0.0, 0.0, 0.0],
[0.0, 0.0, 0.2, 0.6, 0.0, 0.2, 0.0, 0.0, 0.0],
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.5, 0.0],
[0.0, 0.8, 0.1, 0.1, 0.2, 0.0, 0.0, 0.0, 0.2],
[0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0],
[0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.3, 0.0, 1.0],
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]],
[[0.0, 0.8, 0.0, 0.0, 0.0, 0.2, 0.0, 0.0, 0.0],
[0.0, 0.0, 0.5, 0.0, 0.0, 0.5, 0.0, 0.0, 0.0],
[0.0, 0.0, 0.5, 0.4, 0.0, 0.0, 0.0, 0.1, 0.0],
[0.0, 0.0, 0.8, 0.2, 0.0, 0.0, 0.0, 0.0, 0.0],
[0.0, 0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0],
[0.0, 0.0, 0.9, 0.1, 0.0, 0.0, 0.0, 0.0, 0.0],
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]]]
FEATURES = [[[-1, -2, -2, -2, -1, -2, -2, -2], [-1, -2, -2, -2, -1, -2, -2, -2],
[-1, -2, -2, -2, -2, -2, -2, -2], [-1, -2, -2, -2, -2, -1, -2, -1],
[-1, -2, -2, -1, -1, -2, -2, -2], [-2, -1, -2, -1, -1, -2, -1, -2],
[-3, -2, -2, -2, -2, -2, -2, -2], [-3, -2, -2, -2, -2, -2, -2, -2],
[-3, -2, -2, -2, -2, -2, -2, -2], [-3, -2, -2, -2, -2, -2, -2,
-2]],
[[-1, -2, -2, -2, -2, -2, -2, -2], [-1, -2, -2, -2, -2, -2, -2, -2],
[-1, -2, -2, -1, -1, -2, -2, -2], [-1, -2, -2, -2, -1, -2, -2, -1],
[-1, -2, -1, -2, -1, -2, -2, -2], [-2, -2, -2, -1, -1, -2, -2, -2],
[-3, -2, -2, -2, -2, -2, -2, -2], [-3, -2, -2, -2, -2, -2, -2, -2],
[-3, -2, -2, -2, -2, -2, -2, -2], [-3, -2, -2, -2, -2, -2, -2,
-2]]]
DATA = {
'train_data': [
[[[
1109, 1616, 41, 800, 740, 1743, 557, 981, 886, 1616, 1658, 909,
1380, 1256, 1565, 482, 1304
], [1109, 1304]],
[[1109, 1023, 38, 893, 1037, 1664, 886, 1304],
[
1109,
218, 751, 1616, 812, 1406, 1152, 981, 65, 778, 688, 886, 427, 641,
611, 742, 321, 557, 354, 1471, 161, 182, 767, 1304
]],
[[1109, 1162, 145, 557, 981, 740, 734, 776, 1037, 755, 886, 1304],
[
1109, 1616, 812, 1406, 1152, 981, 79, 886, 766, 1616, 558, 165,
1471, 161, 182, 4, 1304
]],
[[1109, 1738, 145, 893, 532, 1304],
[
1109, 1616, 1658, 218, 1616, 812, 1406, 1152, 981, 79, 886, 1023,
38, 557, 354, 182, 731, 161, 182, 1304
]],
[[1109, 1738, 145, 1215, 1047, 1274, 1304],
[
1109, 1616, 812, 1406, 1152, 981, 740, 65, 778, 688, 886, 427,
641, 611, 742, 321, 557, 354, 1017, 161, 731, 1304
]],
[[1109, 1162, 641, 631, 145, 1738, 1499, 740, 1743, 557, 981, 1304],
[
1109, 1616, 1658, 218, 145, 1162, 1499, 981, 740, 263, 173, 62,
886, 766, 1616, 558, 165, 1471, 161, 1017, 4, 1304
]]],
[[[
1109, 1616, 1658, 1450, 1743, 800, 1430, 79, 886, 1616, 1658, 1496,
1565, 1448, 929, 1489, 742, 1662, 1565, 1662, 1304
], [1109, 1304]]],
[[[
1109, 1616, 1658, 1276, 1450, 1743, 800, 1430, 79, 751, 1616, 1133,
1431, 1496, 742, 1062, 1415, 1565, 818, 1304
], [1109, 1304]]],
[[[
1109, 1616, 41, 800, 981, 886, 1616, 1077, 742, 1145, 1565, 83,
1037, 923, 1304
], [1109, 1304]],
[[1109, 1738, 145, 557, 740, 1743, 557, 981, 909, 256, 680, 187, 1304],
[
1109, 218, 1616, 812, 1406, 1152, 981, 740, 886, 1023, 38, 557,
354, 182, 767, 161, 1017, 4, 1304
]],
[[1109, 525, 641, 751, 1498, 1133, 1431, 1085, 1743, 610, 1304],
[1109, 427, 641, 611, 742, 865, 641, 557, 574, 1304]],
[[1109, 525, 641, 751, 1498, 1133, 1431, 1085, 886, 1304],
[1109, 1185, 641, 1077, 1762, 512, 4, 1304]]],
[[[
1109, 764, 1178, 1616, 1658, 1450, 1743, 557, 981, 79, 886, 1616,
1133, 1431, 1496, 742, 821, 1565, 83, 1304
], [1109, 1304]]]
],
'test_data': [
[[[
1109, 1616, 1658, 1450, 1743, 891, 38, 800, 1430, 886, 1616, 1658,
909, 742, 499, 1565, 1159, 1472, 886, 1304
], [1109, 1304]]],
[[[
1109, 1616, 427, 611, 564, 112, 801, 1412, 742, 446, 248, 800, 1001,
194, 886, 1616, 1077, 742, 1514, 1743, 142, 886, 1304
], [1109, 1304]],
[[1109, 1738, 1573, 557, 1510, 1561, 1301, 1301, 1412, 4, 1304],
[
1109, 1616, 323, 800, 1409, 1177, 886, 1573, 1738, 557, 1412, 742,
1621, 248, 800, 1001, 194, 886, 1304
]],
[[1109, 1499, 1718, 37, 1738, 1337, 1616, 1077, 886, 1304],
[
1109, 800, 1176, 72, 1506, 1738, 1374, 751, 427, 641, 611, 742,
1514, 1573, 1304
]]],
[[[
1109, 1228, 1616, 1658, 1450, 1743, 800, 981, 886, 1616, 1077, 742,
1145, 283, 1669, 1565, 482, 1250, 551, 886, 1304
], [1109, 1304]],
[[1109, 1228, 766, 641, 1406, 1762, 742, 849, 1304],
[
1109, 1616, 812, 1406, 1152, 981, 740, 886, 427, 641, 611, 742,
321, 557, 354, 182, 731, 4, 1304
]],
[[1109, 1718, 37, 1738, 1337, 1616, 1077, 1304],
[1109, 427, 641, 611, 742, 865, 641, 557, 574, 1304]],
[[1109, 525, 641, 37, 1738, 1337, 1616, 1077, 886, 1304],
[1109, 1738, 145, 1762, 512, 1616, 766, 814, 641, 4, 1304]]],
[[[
1109, 1228, 1616, 1658, 1450, 1743, 662, 226, 557, 981, 79, 886,
1616, 1658, 1496, 742, 1187, 1493, 1136, 1565, 1690, 886, 1304
], [1109, 1304]]],
],
'vocab_mapping': {
'address': 53,
'thank': 525,
'sure': 631,
'yes': 758,
'hello': 764,
'pricey': 1012,
'hi': 1228,
'great': 1490,
'no': 1499,
'phone': 1596,
'thanks': 1718,
},
'train_labels': [[
'init_request', 'second_request', 'second_request', 'second_request',
'second_request', 'insist'
], ['init_request'], ['init_request'],
['init_request', 'second_request', 'cancel', 'end'],
['init_request']],
'test_labels': [['init_request'],
['init_request', 'slot_question', 'cancel'],
['init_request', 'second_request', 'cancel', 'end'],
['init_request']]
}
TEST_MULTIWOZ_CONFIG = {
'default_seed': 4,
'batch_size': 128,
'max_dialog_size': 10,
'max_utterance_size': 40,
'class_map': {
'accept': 0,
'cancel': 1,
'end': 2,
'greet': 3,
'info_question': 4,
'init_request': 5,
'insist': 6,
'second_request': 7,
'slot_question': 8,
},
'accept_words': ['yes', 'great'],
'cancel_words': ['no'],
'end_words': ['thank', 'thanks'],
'greet_words': ['hello', 'hi'],
'info_question_words': ['address', 'phone'],
'insist_words': ['sure', 'no'],
'slot_question_words': ['pricey'],
'includes_word': -1,
'excludes_word': -2,
'mask_index': 0,
'accept_index': 1,
'cancel_index': 2,
'end_index': 3,
'greet_index': 4,
'info_question_index': 5,
'insist_index': 6,
'slot_question_index': 7,
'utterance_mask': -1,
'last_utterance_mask': -2,
'pad_utterance_mask': -3,
'shuffle_train': True,
'shuffle_test': False,
'train_epochs': 5,
}
def build_constrained_model(input_size: List[int]) -> tf.keras.Model:
"""Build simple neural model for class prediction."""
input_layer = tf.keras.layers.Input(input_size)
hidden_layer_1 = tf.keras.layers.Dense(1024)(input_layer)
hidden_layer_2 = tf.keras.layers.Dense(
512, activation='sigmoid')(
hidden_layer_1)
output = tf.keras.layers.Dense(
9, activation='softmax',
kernel_regularizer=tf.keras.regularizers.l2(1.0))(
hidden_layer_2)
model = tf.keras.Model(input_layer, output)
model.compile(
optimizer=tf.keras.optimizers.Adam(learning_rate=0.001),
loss='categorical_crossentropy',
metrics=['accuracy'])
return model
| 39.644351
| 80
| 0.463219
| 1,460
| 9,475
| 2.950685
| 0.216438
| 0.13974
| 0.19429
| 0.239554
| 0.390669
| 0.300604
| 0.285747
| 0.218895
| 0.184076
| 0.1474
| 0
| 0.391969
| 0.329815
| 9,475
| 238
| 81
| 39.810924
| 0.286457
| 0.071768
| 0
| 0.200957
| 0
| 0
| 0.10171
| 0.002737
| 0
| 0
| 0
| 0
| 0
| 1
| 0.004785
| false
| 0
| 0.009569
| 0
| 0.019139
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
7c341949d080e8daf98a74b8ebb928e4027e2d4b
| 6,757
|
py
|
Python
|
src/sage/quadratic_forms/random_quadraticform.py
|
bopopescu/sagesmc
|
e8d1d31f6f598dba2d763baa2d2e804338f9e89e
|
[
"BSL-1.0"
] | 5
|
2015-01-04T07:15:06.000Z
|
2022-03-04T15:15:18.000Z
|
src/sage/quadratic_forms/random_quadraticform.py
|
bopopescu/sagesmc
|
e8d1d31f6f598dba2d763baa2d2e804338f9e89e
|
[
"BSL-1.0"
] | null | null | null |
src/sage/quadratic_forms/random_quadraticform.py
|
bopopescu/sagesmc
|
e8d1d31f6f598dba2d763baa2d2e804338f9e89e
|
[
"BSL-1.0"
] | 10
|
2016-09-28T13:12:40.000Z
|
2022-02-12T09:28:34.000Z
|
"""
Creating A Random Quadratic Form
"""
from sage.quadratic_forms.quadratic_form import QuadraticForm
from sage.quadratic_forms.ternary_qf import TernaryQF
from sage.rings.ring import is_Ring
from sage.rings.all import ZZ
################################################
## Routines to create a random quadratic form ##
################################################
def random_quadraticform(R, n, rand_arg_list=[]):
"""
Create a random quadratic form in `n` variables defined over the ring `R`.
The last (and optional) argument ``rand_arg_list`` is a list of at most 3
elements which is passed (as at most 3 separate variables) into the method
``R.random_element()``.
INPUT:
- `R` -- a ring.
- `n` -- an integer `\ge 0`
- ``rand_arg_list`` -- a list of at most 3 arguments which can be taken by
``R.random_element()``.
OUTPUT:
A quadratic form over the ring `R`.
EXAMPLES::
sage: random_quadraticform(ZZ, 3, [1,5]) ## RANDOM
Quadratic form in 3 variables over Integer Ring with coefficients:
[ 3 2 3 ]
[ * 1 4 ]
[ * * 3 ]
::
sage: random_quadraticform(ZZ, 3, [-5,5]) ## RANDOM
Quadratic form in 3 variables over Integer Ring with coefficients:
[ 3 2 -5 ]
[ * 2 -2 ]
[ * * -5 ]
::
sage: random_quadraticform(ZZ, 3, [-50,50]) ## RANDOM
Quadratic form in 3 variables over Integer Ring with coefficients:
[ 1 8 -23 ]
[ * 0 0 ]
[ * * 6 ]
"""
## Sanity Checks: We have a ring and there are at most 3 parameters for randomness!
if len(rand_arg_list) > 3:
raise TypeError, "Oops! The list of randomness arguments can have at most 3 elements."
if not is_Ring(R):
raise TypeError, "Oops! The first argument must be a ring."
## Create a list of upper-triangular entries for the quadratic form
L = len(rand_arg_list)
nn = int(n*(n+1)/2)
if L == 0:
rand_list = [R.random_element() for _ in range(nn)]
elif L == 1:
rand_list = [R.random_element(rand_arg_list[0]) for _ in range(nn)]
elif L == 2:
rand_list = [R.random_element(rand_arg_list[0], rand_arg_list[1]) for _ in range(nn)]
elif L == 3:
rand_list = [R.random_element(rand_arg_list[0], rand_arg_list[1], rand_arg_list[2]) for _ in range(nn)]
## Return the Quadratic Form
return QuadraticForm(R, n, rand_list)
def random_quadraticform_with_conditions(R, n, condition_list=[], rand_arg_list=[]):
"""
Create a random quadratic form in `n` variables defined over the ring `R`
satisfying a list of boolean (i.e. True/False) conditions.
The conditions `c` appearing in the list must be boolean functions which
can be called either as ``Q.c()`` or ``c(Q)``, where ``Q`` is the random
quadratic form.
The last (and optional) argument ``rand_arg_list`` is a list of at most 3
elements which is passed (as at most 3 separate variables) into the method
``R.random_element()``.
EXAMPLES::
sage: Q = random_quadraticform_with_conditions(ZZ, 3, [QuadraticForm.is_positive_definite], [-5, 5])
sage: Q ## RANDOM
Quadratic form in 3 variables over Integer Ring with coefficients:
[ 3 -2 -5 ]
[ * 2 2 ]
[ * * 3 ]
"""
Q = random_quadraticform(R, n, rand_arg_list)
Done_Flag = True
## Check that all conditions are satisfied
while Done_Flag:
Done_Flag = False
for c in condition_list:
## Check if condition c is satisfied
try:
bool_ans = Q.c()
except Exception:
bool_ans = c(Q)
## Create a new quadratic form if a condition fails
if (bool_ans == False):
Q = random_quadraticform(R, n, rand_arg_list)
Done_Flag = True
break
## Return the quadratic form
return Q
def random_ternaryqf(rand_arg_list = []):
"""
Create a random ternary quadratic form.
The last (and optional) argument ``rand_arg_list`` is a list of at most 3
elements which is passed (as at most 3 separate variables) into the method
``R.random_element()``.
INPUT:
- ``rand_arg_list`` -- a list of at most 3 arguments which can be taken by
``R.random_element()``.
OUTPUT:
A ternary quadratic form.
EXAMPLES::
sage: random_ternaryqf() ##RANDOM
Ternary quadratic form with integer coefficients:
[1 1 4]
[-1 1 -1]
sage: random_ternaryqf([-1, 2]) ##RANDOM
Ternary quadratic form with integer coefficients:
[1 0 1]
[-1 -1 -1]
sage: random_ternaryqf([-10, 10, "uniform"]) ##RANDOM
Ternary quadratic form with integer coefficients:
[7 -8 2]
[0 3 -6]
"""
R = ZZ
n = 6
L = len(rand_arg_list)
if L == 0:
rand_list = [ R.random_element() for _ in range(n)]
elif L == 1:
rand_list = [ R.random_element(rand_arg_list[0]) for _ in range(6)]
elif L == 2:
rand_list = [ R.random_element(rand_arg_list[0], rand_arg_list[1]) for _ in range(6)]
elif L == 3:
rand_list = [ R.random_element(rand_arg_list[0], rand_arg_list[1], rand_arg_list[2]) for _ in range(6)]
return TernaryQF(rand_list)
def random_ternaryqf_with_conditions(condition_list=[], rand_arg_list=[]):
"""
Create a random ternary quadratic form satisfying a list of boolean
(i.e. True/False) conditions.
The conditions `c` appearing in the list must be boolean functions which
can be called either as ``Q.c()`` or ``c(Q)``, where ``Q`` is the random
ternary quadratic form.
The last (and optional) argument ``rand_arg_list`` is a list of at most 3
elements which is passed (as at most 3 separate variables) into the method
``R.random_element()``.
EXAMPLES::
sage: Q = random_ternaryqf_with_conditions([TernaryQF.is_positive_definite], [-5, 5])
sage: Q ## RANDOM
Ternary quadratic form with integer coefficients:
[3 4 2]
[2 -2 -1]
"""
Q = random_ternaryqf(rand_arg_list)
Done_Flag = True
## Check that all conditions are satisfied
while Done_Flag:
Done_Flag = False
for c in condition_list:
## Check if condition c is satisfied
try:
bool_ans = Q.c()
except Exception:
bool_ans = c(Q)
## Create a new quadratic form if a condition fails
if (bool_ans == False):
Q = random_ternaryqf(rand_arg_list)
Done_Flag = True
break
return Q
| 31.282407
| 112
| 0.598194
| 949
| 6,757
| 4.109589
| 0.13804
| 0.052051
| 0.081795
| 0.030769
| 0.791026
| 0.74
| 0.726667
| 0.697692
| 0.645385
| 0.617179
| 0
| 0.023923
| 0.28859
| 6,757
| 215
| 113
| 31.427907
| 0.787393
| 0.072221
| 0
| 0.603175
| 0
| 0
| 0.041746
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.063492
| null | null | 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
7c5839cd796214afe04042e39c50b00e4f26a81f
| 171
|
py
|
Python
|
launch.py
|
thedeltaflyer/OUTD_2_ACLOG
|
d228d92485a2f5f4a306c72795948e6c08bcfb1b
|
[
"MIT"
] | null | null | null |
launch.py
|
thedeltaflyer/OUTD_2_ACLOG
|
d228d92485a2f5f4a306c72795948e6c08bcfb1b
|
[
"MIT"
] | 4
|
2021-05-03T02:22:12.000Z
|
2021-05-05T03:05:54.000Z
|
launch.py
|
thedeltaflyer/OUTD_2_ACLOG
|
d228d92485a2f5f4a306c72795948e6c08bcfb1b
|
[
"MIT"
] | 1
|
2021-05-03T00:59:20.000Z
|
2021-05-03T00:59:20.000Z
|
# This file acts as an entry point for running this as a script
# Or for building using pyinstaller
from outd2aclog.gui import main
if __name__ == '__main__':
main()
| 24.428571
| 63
| 0.74269
| 27
| 171
| 4.407407
| 0.814815
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007299
| 0.19883
| 171
| 6
| 64
| 28.5
| 0.861314
| 0.555556
| 0
| 0
| 0
| 0
| 0.109589
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
7c66b3d3668995533cf0a6c8c4412e25c6166b20
| 141
|
py
|
Python
|
config/wsgi.py
|
kimbugp/ah-haven-space-sprinters
|
00e08131d1c4d7785f127f8e1beb17488c8ca0fd
|
[
"BSD-3-Clause"
] | 4
|
2019-04-30T13:38:15.000Z
|
2021-04-22T08:56:54.000Z
|
config/wsgi.py
|
kimbugp/ah-haven-space-sprinters
|
00e08131d1c4d7785f127f8e1beb17488c8ca0fd
|
[
"BSD-3-Clause"
] | 37
|
2019-03-19T09:33:42.000Z
|
2019-04-30T20:02:02.000Z
|
config/wsgi.py
|
kimbugp/ah-haven-space-sprinters
|
00e08131d1c4d7785f127f8e1beb17488c8ca0fd
|
[
"BSD-3-Clause"
] | 4
|
2019-06-29T11:50:41.000Z
|
2019-12-09T02:17:05.000Z
|
import os
from django.core.wsgi import get_wsgi_application
os.environ.get('DJANGO_SETTINGS_MODULE')
application = get_wsgi_application()
| 17.625
| 49
| 0.829787
| 20
| 141
| 5.55
| 0.55
| 0.126126
| 0.324324
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.092199
| 141
| 7
| 50
| 20.142857
| 0.867188
| 0
| 0
| 0
| 0
| 0
| 0.156028
| 0.156028
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
7c774c686e447a57d94ae09305875ffaa33f0ba0
| 22,632
|
py
|
Python
|
zarc/views_2017-08-13-02:36:26.py
|
nyimbi/caseke
|
ce4a0fa44cd383bc23900e42f81656f089c8fdd9
|
[
"MIT"
] | 1
|
2019-06-03T16:20:35.000Z
|
2019-06-03T16:20:35.000Z
|
zarc/views_2017-08-13-02:36:26.py
|
nyimbi/caseke
|
ce4a0fa44cd383bc23900e42f81656f089c8fdd9
|
[
"MIT"
] | 20
|
2020-01-28T22:02:29.000Z
|
2022-03-29T22:28:34.000Z
|
zarc/views_2017-08-13-02:36:26.py
|
nyimbi/caseke
|
ce4a0fa44cd383bc23900e42f81656f089c8fdd9
|
[
"MIT"
] | 1
|
2019-06-10T17:20:48.000Z
|
2019-06-10T17:20:48.000Z
|
# coding: utf-8
# views.py AUTOGENERATED BY gen_script.sh from kp4.py
# Copyright (C) Nyimbi Odero, Sun Aug 13 02:35:14 EAT 2017
import calendar
from flask import redirect, flash, url_for, Markup
from flask import render_template
from flask_appbuilder.models.sqla.interface import SQLAInterface
from flask_appbuilder.views import ModelView, BaseView, MasterDetailView, MultipleView, RestCRUDView, CompactCRUDMixin
from flask_appbuilder import ModelView, CompactCRUDMixin, aggregate_count, action, expose, BaseView, has_access
from flask_appbuilder.charts.views import ChartView, TimeChartView, GroupByChartView
from flask_appbuilder.models.group import aggregate_count
from flask_appbuilder.widgets import ListThumbnail, ListWidget
from flask_appbuilder.widgets import FormVerticalWidget, FormInlineWidget, FormHorizontalWidget, ShowBlockWidget
from flask_appbuilder.models.sqla.filters import FilterStartsWith, FilterEqualFunction as FA
from app import appbuilder, db
from .models import *
# Basic Lists
hide_list = ['created_by', 'changed_by', 'created_on', 'changed_on']
#To pretty Print from PersonMixin
def pretty_month_year(value):
return calendar.month_name[value.month] + ' ' + str(value.year)
def pretty_year(value):
return str(value.year)
def fill_gender():
try:
db.session.add(Gender(name='Male'))
db.session.add(Gender(name='Female'))
db.session.commit()
except:
db.session.rollback()
class LawyerChartView(GroupByChartView):
datamodel = SQLAInterface(Lawyer , db.session)
chart_title = 'Grouped Lawyer by Birth'
chart_3d = 'true'
label_columns = LawyerView.label_columns
chart_type = 'PieChart'
definitions = [
{
'group' : 'age_today',
"series" : [(aggregate_count,"age_today")]
},
{
'group' : 'gender',
"series" : [(aggregate_count,"age_today")]
}
]
class LawyerTimeChartView(GroupByChartView):
datamodel = SQLAInterface(Lawyer , db.session)
chart_title = 'Grouped Birth Lawyer'
chart_type = 'AreaChart'
chart_3d = 'true'
label_columns = LawyerView.label_columns
definitions = [
{
'group' : 'age_today',
'formatter': pretty_month_year,
"series" : [(aggregate_count,"age_today")]
},
{
'group': 'age_today',
'formatter': pretty_year,
"series" : [(aggregate_count,"age_today")]
}
]
class PlaintiffChartView(GroupByChartView):
datamodel = SQLAInterface(Plaintiff , db.session)
chart_title = 'Grouped Plaintiff by Birth'
chart_3d = 'true'
label_columns = PlaintiffView.label_columns
chart_type = 'PieChart'
definitions = [
{
'group' : 'age_today',
"series" : [(aggregate_count,"age_today")]
},
{
'group' : 'gender',
"series" : [(aggregate_count,"age_today")]
}
]
class PlaintiffTimeChartView(GroupByChartView):
datamodel = SQLAInterface(Plaintiff , db.session)
chart_title = 'Grouped Birth Plaintiff'
chart_type = 'AreaChart'
chart_3d = 'true'
label_columns = PlaintiffView.label_columns
definitions = [
{
'group' : 'age_today',
'formatter': pretty_month_year,
"series" : [(aggregate_count,"age_today")]
},
{
'group': 'age_today',
'formatter': pretty_year,
"series" : [(aggregate_count,"age_today")]
}
]
class WitnesChartView(GroupByChartView):
datamodel = SQLAInterface(Witnes , db.session)
chart_title = 'Grouped Witnes by Birth'
chart_3d = 'true'
label_columns = WitnesView.label_columns
chart_type = 'PieChart'
definitions = [
{
'group' : 'age_today',
"series" : [(aggregate_count,"age_today")]
},
{
'group' : 'gender',
"series" : [(aggregate_count,"age_today")]
}
]
class WitnesTimeChartView(GroupByChartView):
datamodel = SQLAInterface(Witnes , db.session)
chart_title = 'Grouped Birth Witnes'
chart_type = 'AreaChart'
chart_3d = 'true'
label_columns = WitnesView.label_columns
definitions = [
{
'group' : 'age_today',
'formatter': pretty_month_year,
"series" : [(aggregate_count,"age_today")]
},
{
'group': 'age_today',
'formatter': pretty_year,
"series" : [(aggregate_count,"age_today")]
}
]
class SuretyChartView(GroupByChartView):
datamodel = SQLAInterface(Surety , db.session)
chart_title = 'Grouped Surety by Birth'
chart_3d = 'true'
label_columns = SuretyView.label_columns
chart_type = 'PieChart'
definitions = [
{
'group' : 'age_today',
"series" : [(aggregate_count,"age_today")]
},
{
'group' : 'gender',
"series" : [(aggregate_count,"age_today")]
}
]
class SuretyTimeChartView(GroupByChartView):
datamodel = SQLAInterface(Surety , db.session)
chart_title = 'Grouped Birth Surety'
chart_type = 'AreaChart'
chart_3d = 'true'
label_columns = SuretyView.label_columns
definitions = [
{
'group' : 'age_today',
'formatter': pretty_month_year,
"series" : [(aggregate_count,"age_today")]
},
{
'group': 'age_today',
'formatter': pretty_year,
"series" : [(aggregate_count,"age_today")]
}
]
class ProsecutorChartView(GroupByChartView):
datamodel = SQLAInterface(Prosecutor , db.session)
chart_title = 'Grouped Prosecutor by Birth'
chart_3d = 'true'
label_columns = ProsecutorView.label_columns
chart_type = 'PieChart'
definitions = [
{
'group' : 'age_today',
"series" : [(aggregate_count,"age_today")]
},
{
'group' : 'gender',
"series" : [(aggregate_count,"age_today")]
}
]
class ProsecutorTimeChartView(GroupByChartView):
datamodel = SQLAInterface(Prosecutor , db.session)
chart_title = 'Grouped Birth Prosecutor'
chart_type = 'AreaChart'
chart_3d = 'true'
label_columns = ProsecutorView.label_columns
definitions = [
{
'group' : 'age_today',
'formatter': pretty_month_year,
"series" : [(aggregate_count,"age_today")]
},
{
'group': 'age_today',
'formatter': pretty_year,
"series" : [(aggregate_count,"age_today")]
}
]
class PoliceofficerChartView(GroupByChartView):
datamodel = SQLAInterface(Policeofficer , db.session)
chart_title = 'Grouped Policeofficer by Birth'
chart_3d = 'true'
label_columns = PoliceofficerView.label_columns
chart_type = 'PieChart'
definitions = [
{
'group' : 'age_today',
"series" : [(aggregate_count,"age_today")]
},
{
'group' : 'gender',
"series" : [(aggregate_count,"age_today")]
}
]
class PoliceofficerTimeChartView(GroupByChartView):
datamodel = SQLAInterface(Policeofficer , db.session)
chart_title = 'Grouped Birth Policeofficer'
chart_type = 'AreaChart'
chart_3d = 'true'
label_columns = PoliceofficerView.label_columns
definitions = [
{
'group' : 'age_today',
'formatter': pretty_month_year,
"series" : [(aggregate_count,"age_today")]
},
{
'group': 'age_today',
'formatter': pretty_year,
"series" : [(aggregate_count,"age_today")]
}
]
class JudicialofficerChartView(GroupByChartView):
datamodel = SQLAInterface(Judicialofficer , db.session)
chart_title = 'Grouped Judicialofficer by Birth'
chart_3d = 'true'
label_columns = JudicialofficerView.label_columns
chart_type = 'PieChart'
definitions = [
{
'group' : 'age_today',
"series" : [(aggregate_count,"age_today")]
},
{
'group' : 'gender',
"series" : [(aggregate_count,"age_today")]
}
]
class JudicialofficerTimeChartView(GroupByChartView):
datamodel = SQLAInterface(Judicialofficer , db.session)
chart_title = 'Grouped Birth Judicialofficer'
chart_type = 'AreaChart'
chart_3d = 'true'
label_columns = JudicialofficerView.label_columns
definitions = [
{
'group' : 'age_today',
'formatter': pretty_month_year,
"series" : [(aggregate_count,"age_today")]
},
{
'group': 'age_today',
'formatter': pretty_year,
"series" : [(aggregate_count,"age_today")]
}
]
class DefendantChartView(GroupByChartView):
datamodel = SQLAInterface(Defendant , db.session)
chart_title = 'Grouped Defendant by Birth'
chart_3d = 'true'
label_columns = DefendantView.label_columns
chart_type = 'PieChart'
definitions = [
{
'group' : 'age_today',
"series" : [(aggregate_count,"age_today")]
},
{
'group' : 'gender',
"series" : [(aggregate_count,"age_today")]
}
]
class DefendantTimeChartView(GroupByChartView):
datamodel = SQLAInterface(Defendant , db.session)
chart_title = 'Grouped Birth Defendant'
chart_type = 'AreaChart'
chart_3d = 'true'
label_columns = DefendantView.label_columns
definitions = [
{
'group' : 'age_today',
'formatter': pretty_month_year,
"series" : [(aggregate_count,"age_today")]
},
{
'group': 'age_today',
'formatter': pretty_year,
"series" : [(aggregate_count,"age_today")]
}
]
class VisitorChartView(GroupByChartView):
datamodel = SQLAInterface(Visitor , db.session)
chart_title = 'Grouped Visitor by Birth'
chart_3d = 'true'
label_columns = VisitorView.label_columns
chart_type = 'PieChart'
definitions = [
{
'group' : 'age_today',
"series" : [(aggregate_count,"age_today")]
},
{
'group' : 'gender',
"series" : [(aggregate_count,"age_today")]
}
]
class VisitorTimeChartView(GroupByChartView):
datamodel = SQLAInterface(Visitor , db.session)
chart_title = 'Grouped Birth Visitor'
chart_type = 'AreaChart'
chart_3d = 'true'
label_columns = VisitorView.label_columns
definitions = [
{
'group' : 'age_today',
'formatter': pretty_month_year,
"series" : [(aggregate_count,"age_today")]
},
{
'group': 'age_today',
'formatter': pretty_year,
"series" : [(aggregate_count,"age_today")]
}
]
class WarderChartView(GroupByChartView):
datamodel = SQLAInterface(Warder , db.session)
chart_title = 'Grouped Warder by Birth'
chart_3d = 'true'
label_columns = WarderView.label_columns
chart_type = 'PieChart'
definitions = [
{
'group' : 'age_today',
"series" : [(aggregate_count,"age_today")]
},
{
'group' : 'gender',
"series" : [(aggregate_count,"age_today")]
}
]
class WarderTimeChartView(GroupByChartView):
datamodel = SQLAInterface(Warder , db.session)
chart_title = 'Grouped Birth Warder'
chart_type = 'AreaChart'
chart_3d = 'true'
label_columns = WarderView.label_columns
definitions = [
{
'group' : 'age_today',
'formatter': pretty_month_year,
"series" : [(aggregate_count,"age_today")]
},
{
'group': 'age_today',
'formatter': pretty_year,
"series" : [(aggregate_count,"age_today")]
}
]
class VisitChartView(GroupByChartView):
datamodel = SQLAInterface(Visit , db.session)
chart_title = 'Grouped Visit by Birth'
chart_3d = 'true'
label_columns = VisitView.label_columns
chart_type = 'PieChart'
definitions = [
{
'group' : 'age_today',
"series" : [(aggregate_count,"age_today")]
},
{
'group' : 'gender',
"series" : [(aggregate_count,"age_today")]
}
]
class VisitTimeChartView(GroupByChartView):
datamodel = SQLAInterface(Visit , db.session)
chart_title = 'Grouped Birth Visit'
chart_type = 'AreaChart'
chart_3d = 'true'
label_columns = VisitView.label_columns
definitions = [
{
'group' : 'age_today',
'formatter': pretty_month_year,
"series" : [(aggregate_count,"age_today")]
},
{
'group': 'age_today',
'formatter': pretty_year,
"series" : [(aggregate_count,"age_today")]
}
]
class DisciplineChartView(GroupByChartView):
datamodel = SQLAInterface(Discipline , db.session)
chart_title = 'Grouped Discipline by Birth'
chart_3d = 'true'
label_columns = DisciplineView.label_columns
chart_type = 'PieChart'
definitions = [
{
'group' : 'age_today',
"series" : [(aggregate_count,"age_today")]
},
{
'group' : 'gender',
"series" : [(aggregate_count,"age_today")]
}
]
class DisciplineTimeChartView(GroupByChartView):
datamodel = SQLAInterface(Discipline , db.session)
chart_title = 'Grouped Birth Discipline'
chart_type = 'AreaChart'
chart_3d = 'true'
label_columns = DisciplineView.label_columns
definitions = [
{
'group' : 'age_today',
'formatter': pretty_month_year,
"series" : [(aggregate_count,"age_today")]
},
{
'group': 'age_today',
'formatter': pretty_year,
"series" : [(aggregate_count,"age_today")]
}
]
class MedeventChartView(GroupByChartView):
datamodel = SQLAInterface(Medevent , db.session)
chart_title = 'Grouped Medevent by Birth'
chart_3d = 'true'
label_columns = MedeventView.label_columns
chart_type = 'PieChart'
definitions = [
{
'group' : 'age_today',
"series" : [(aggregate_count,"age_today")]
},
{
'group' : 'gender',
"series" : [(aggregate_count,"age_today")]
}
]
class MedeventTimeChartView(GroupByChartView):
datamodel = SQLAInterface(Medevent , db.session)
chart_title = 'Grouped Birth Medevent'
chart_type = 'AreaChart'
chart_3d = 'true'
label_columns = MedeventView.label_columns
definitions = [
{
'group' : 'age_today',
'formatter': pretty_month_year,
"series" : [(aggregate_count,"age_today")]
},
{
'group': 'age_today',
'formatter': pretty_year,
"series" : [(aggregate_count,"age_today")]
}
]
class HearingChartView(GroupByChartView):
datamodel = SQLAInterface(Hearing , db.session)
chart_title = 'Grouped Hearing by Birth'
chart_3d = 'true'
label_columns = HearingView.label_columns
chart_type = 'PieChart'
definitions = [
{
'group' : 'age_today',
"series" : [(aggregate_count,"age_today")]
},
{
'group' : 'gender',
"series" : [(aggregate_count,"age_today")]
}
]
class HearingTimeChartView(GroupByChartView):
datamodel = SQLAInterface(Hearing , db.session)
chart_title = 'Grouped Birth Hearing'
chart_type = 'AreaChart'
chart_3d = 'true'
label_columns = HearingView.label_columns
definitions = [
{
'group' : 'age_today',
'formatter': pretty_month_year,
"series" : [(aggregate_count,"age_today")]
},
{
'group': 'age_today',
'formatter': pretty_year,
"series" : [(aggregate_count,"age_today")]
}
]
class PrisoncommitalChartView(GroupByChartView):
datamodel = SQLAInterface(Prisoncommital , db.session)
chart_title = 'Grouped Prisoncommital by Birth'
chart_3d = 'true'
label_columns = PrisoncommitalView.label_columns
chart_type = 'PieChart'
definitions = [
{
'group' : 'age_today',
"series" : [(aggregate_count,"age_today")]
},
{
'group' : 'gender',
"series" : [(aggregate_count,"age_today")]
}
]
class PrisoncommitalTimeChartView(GroupByChartView):
datamodel = SQLAInterface(Prisoncommital , db.session)
chart_title = 'Grouped Birth Prisoncommital'
chart_type = 'AreaChart'
chart_3d = 'true'
label_columns = PrisoncommitalView.label_columns
definitions = [
{
'group' : 'age_today',
'formatter': pretty_month_year,
"series" : [(aggregate_count,"age_today")]
},
{
'group': 'age_today',
'formatter': pretty_year,
"series" : [(aggregate_count,"age_today")]
}
]
class CaseChartView(GroupByChartView):
datamodel = SQLAInterface(Case , db.session)
chart_title = 'Grouped Case by Birth'
chart_3d = 'true'
label_columns = CaseView.label_columns
chart_type = 'PieChart'
definitions = [
{
'group' : 'age_today',
"series" : [(aggregate_count,"age_today")]
},
{
'group' : 'gender',
"series" : [(aggregate_count,"age_today")]
}
]
class CaseTimeChartView(GroupByChartView):
datamodel = SQLAInterface(Case , db.session)
chart_title = 'Grouped Birth Case'
chart_type = 'AreaChart'
chart_3d = 'true'
label_columns = CaseView.label_columns
definitions = [
{
'group' : 'age_today',
'formatter': pretty_month_year,
"series" : [(aggregate_count,"age_today")]
},
{
'group': 'age_today',
'formatter': pretty_year,
"series" : [(aggregate_count,"age_today")]
}
]
# How to create a MasterDetailView
#class DetailView(ModelView):
# datamodel = SQLAInterface(DetailTable, db.session)
#class MasterView(MasterDetailView):
# datamodel = SQLAInterface(MasterTable, db.session)
# related_views = [DetailView]
# How to create a MultipleView
#class MultipleViewsExp(MultipleView):
# views = [GroupModelView, ContactModelView]
#View Registration
db.create_all()
fill_gender()
appbuilder.add_view(LawyerChartView(), 'Lawyer Age Chart', icon='fa-dashboard', category='Reports')
appbuilder.add_view(LawyerTimeChartView(), 'Lawyer Time Chart', icon='fa-dashboard', category='Reports')
appbuilder.add_view(PlaintiffChartView(), 'Plaintiff Age Chart', icon='fa-dashboard', category='Reports')
appbuilder.add_view(PlaintiffTimeChartView(), 'Plaintiff Time Chart', icon='fa-dashboard', category='Reports')
appbuilder.add_view(WitnesChartView(), 'Witnes Age Chart', icon='fa-dashboard', category='Reports')
appbuilder.add_view(WitnesTimeChartView(), 'Witnes Time Chart', icon='fa-dashboard', category='Reports')
appbuilder.add_view(SuretyChartView(), 'Surety Age Chart', icon='fa-dashboard', category='Reports')
appbuilder.add_view(SuretyTimeChartView(), 'Surety Time Chart', icon='fa-dashboard', category='Reports')
appbuilder.add_view(ProsecutorChartView(), 'Prosecutor Age Chart', icon='fa-dashboard', category='Reports')
appbuilder.add_view(ProsecutorTimeChartView(), 'Prosecutor Time Chart', icon='fa-dashboard', category='Reports')
appbuilder.add_view(PoliceofficerChartView(), 'Policeofficer Age Chart', icon='fa-dashboard', category='Reports')
appbuilder.add_view(PoliceofficerTimeChartView(), 'Policeofficer Time Chart', icon='fa-dashboard', category='Reports')
appbuilder.add_view(JudicialofficerChartView(), 'Judicialofficer Age Chart', icon='fa-dashboard', category='Reports')
appbuilder.add_view(JudicialofficerTimeChartView(), 'Judicialofficer Time Chart', icon='fa-dashboard', category='Reports')
appbuilder.add_view(DefendantChartView(), 'Defendant Age Chart', icon='fa-dashboard', category='Reports')
appbuilder.add_view(DefendantTimeChartView(), 'Defendant Time Chart', icon='fa-dashboard', category='Reports')
appbuilder.add_view(VisitorChartView(), 'Visitor Age Chart', icon='fa-dashboard', category='Reports')
appbuilder.add_view(VisitorTimeChartView(), 'Visitor Time Chart', icon='fa-dashboard', category='Reports')
appbuilder.add_view(WarderChartView(), 'Warder Age Chart', icon='fa-dashboard', category='Reports')
appbuilder.add_view(WarderTimeChartView(), 'Warder Time Chart', icon='fa-dashboard', category='Reports')
appbuilder.add_view(VisitChartView(), 'Visit Age Chart', icon='fa-dashboard', category='Reports')
appbuilder.add_view(VisitTimeChartView(), 'Visit Time Chart', icon='fa-dashboard', category='Reports')
appbuilder.add_view(DisciplineChartView(), 'Discipline Age Chart', icon='fa-dashboard', category='Reports')
appbuilder.add_view(DisciplineTimeChartView(), 'Discipline Time Chart', icon='fa-dashboard', category='Reports')
appbuilder.add_view(MedeventChartView(), 'Medevent Age Chart', icon='fa-dashboard', category='Reports')
appbuilder.add_view(MedeventTimeChartView(), 'Medevent Time Chart', icon='fa-dashboard', category='Reports')
appbuilder.add_view(HearingChartView(), 'Hearing Age Chart', icon='fa-dashboard', category='Reports')
appbuilder.add_view(HearingTimeChartView(), 'Hearing Time Chart', icon='fa-dashboard', category='Reports')
appbuilder.add_view(PrisoncommitalChartView(), 'Prisoncommital Age Chart', icon='fa-dashboard', category='Reports')
appbuilder.add_view(PrisoncommitalTimeChartView(), 'Prisoncommital Time Chart', icon='fa-dashboard', category='Reports')
appbuilder.add_view(CaseChartView(), 'Case Age Chart', icon='fa-dashboard', category='Reports')
appbuilder.add_view(CaseTimeChartView(), 'Case Time Chart', icon='fa-dashboard', category='Reports')
#appbuilder.add_separator("Setup")
#appbuilder.add_separator("My Views")
#appbuilder.add_link(name, href, icon='', label='', category='', category_icon='', category_label='', baseview=None)
| 29.354086
| 122
| 0.617135
| 2,059
| 22,632
| 6.565809
| 0.099563
| 0.066277
| 0.094682
| 0.108884
| 0.762852
| 0.750573
| 0.744656
| 0.736371
| 0.631186
| 0.455877
| 0
| 0.002751
| 0.261046
| 22,632
| 770
| 123
| 29.392208
| 0.805609
| 0.031725
| 0
| 0.53068
| 1
| 0
| 0.20676
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.004975
| false
| 0
| 0.021559
| 0.003317
| 0.401327
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
7ca46b907f7ceff8442ee6ec5f1a235158c29b9f
| 156
|
py
|
Python
|
icebergsdk/resources/promotion.py
|
Iceberg-Marketplace/Iceberg-API-PYTHON
|
5f8314376ebb6e5a8099253ec79fd40ea835beac
|
[
"MIT"
] | null | null | null |
icebergsdk/resources/promotion.py
|
Iceberg-Marketplace/Iceberg-API-PYTHON
|
5f8314376ebb6e5a8099253ec79fd40ea835beac
|
[
"MIT"
] | 2
|
2015-01-26T10:22:41.000Z
|
2015-01-26T10:22:41.000Z
|
icebergsdk/resources/promotion.py
|
Iceberg-Marketplace/Iceberg-API-PYTHON
|
5f8314376ebb6e5a8099253ec79fd40ea835beac
|
[
"MIT"
] | 3
|
2016-12-30T15:08:57.000Z
|
2019-09-24T14:13:44.000Z
|
# -*- coding: utf-8 -*-
from icebergsdk.resources.base import UpdateableIcebergObject
class Discount(UpdateableIcebergObject):
endpoint = 'discount'
| 19.5
| 61
| 0.75641
| 14
| 156
| 8.428571
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007407
| 0.134615
| 156
| 8
| 62
| 19.5
| 0.866667
| 0.134615
| 0
| 0
| 0
| 0
| 0.059701
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
7ca7f6efb8231259fb5840ad62a4ff4a3694aca3
| 160
|
py
|
Python
|
usaspending_api/awards/v2/urls_subawards.py
|
g4brielvs/usaspending-api
|
bae7da2c204937ec1cdf75c052405b13145728d5
|
[
"CC0-1.0"
] | 217
|
2016-11-03T17:09:53.000Z
|
2022-03-10T04:17:54.000Z
|
usaspending_api/awards/v2/urls_subawards.py
|
g4brielvs/usaspending-api
|
bae7da2c204937ec1cdf75c052405b13145728d5
|
[
"CC0-1.0"
] | 622
|
2016-09-02T19:18:23.000Z
|
2022-03-29T17:11:01.000Z
|
usaspending_api/awards/v2/urls_subawards.py
|
g4brielvs/usaspending-api
|
bae7da2c204937ec1cdf75c052405b13145728d5
|
[
"CC0-1.0"
] | 93
|
2016-09-07T20:28:57.000Z
|
2022-02-25T00:25:27.000Z
|
from django.conf.urls import url
from usaspending_api.awards.v2.views.subawards import SubawardsViewSet
urlpatterns = [url(r"^$", SubawardsViewSet.as_view())]
| 32
| 70
| 0.8
| 21
| 160
| 6
| 0.809524
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.006803
| 0.08125
| 160
| 4
| 71
| 40
| 0.85034
| 0
| 0
| 0
| 0
| 0
| 0.0125
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
7cce2c2b8a027632cfe0b0202831b69f4ecdaabb
| 90
|
py
|
Python
|
main.py
|
OrestSenkovskyi/fleet_test
|
ae4f82263a1793bd129ee07309a7b59efaaa97bf
|
[
"MIT"
] | null | null | null |
main.py
|
OrestSenkovskyi/fleet_test
|
ae4f82263a1793bd129ee07309a7b59efaaa97bf
|
[
"MIT"
] | null | null | null |
main.py
|
OrestSenkovskyi/fleet_test
|
ae4f82263a1793bd129ee07309a7b59efaaa97bf
|
[
"MIT"
] | null | null | null |
#!/usr/bin/python3
"""
Main module for demo
"""
if __name__ == "__main__":
pass
| 12.857143
| 27
| 0.577778
| 11
| 90
| 4
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.014706
| 0.244444
| 90
| 7
| 28
| 12.857143
| 0.632353
| 0.422222
| 0
| 0
| 0
| 0
| 0.205128
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
7cd5ce4ca0a52aa31727f3b898735ce75ab78639
| 26
|
py
|
Python
|
homeassistant/components/cups/__init__.py
|
domwillcode/home-assistant
|
f170c80bea70c939c098b5c88320a1c789858958
|
[
"Apache-2.0"
] | 30,023
|
2016-04-13T10:17:53.000Z
|
2020-03-02T12:56:31.000Z
|
homeassistant/components/cups/__init__.py
|
jagadeeshvenkatesh/core
|
1bd982668449815fee2105478569f8e4b5670add
|
[
"Apache-2.0"
] | 31,101
|
2020-03-02T13:00:16.000Z
|
2022-03-31T23:57:36.000Z
|
homeassistant/components/cups/__init__.py
|
jagadeeshvenkatesh/core
|
1bd982668449815fee2105478569f8e4b5670add
|
[
"Apache-2.0"
] | 11,956
|
2016-04-13T18:42:31.000Z
|
2020-03-02T09:32:12.000Z
|
"""The cups component."""
| 13
| 25
| 0.615385
| 3
| 26
| 5.333333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.115385
| 26
| 1
| 26
| 26
| 0.695652
| 0.730769
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
6b1c0fe7ed85829d723294b5d5ac0d564b2efd17
| 8,498
|
py
|
Python
|
python-midonetclient/src/midonetclient/vendor_media_type.py
|
duarten/midonet
|
c7a5aa352a8038bdc6a463c68abc47bb411a1e7c
|
[
"Apache-2.0"
] | null | null | null |
python-midonetclient/src/midonetclient/vendor_media_type.py
|
duarten/midonet
|
c7a5aa352a8038bdc6a463c68abc47bb411a1e7c
|
[
"Apache-2.0"
] | null | null | null |
python-midonetclient/src/midonetclient/vendor_media_type.py
|
duarten/midonet
|
c7a5aa352a8038bdc6a463c68abc47bb411a1e7c
|
[
"Apache-2.0"
] | null | null | null |
# vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright 2013 Midokura PTE LTD.
# All Rights Reserved
#
# 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.
APPLICATION_OCTET_STREAM = "application/octet-stream"
APPLICATION_JSON_V5 = "application/vnd.org.midonet.Application-v5+json"
APPLICATION_ERROR_JSON = "application/vnd.org.midonet.Error-v1+json"
APPLICATION_TENANT_JSON = "application/vnd.org.midonet.Tenant-v1+json"
APPLICATION_TENANT_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.Tenant-v1+json"
APPLICATION_ROUTER_JSON = "application/vnd.org.midonet.Router-v3+json"
APPLICATION_ROUTER_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.Router-v3+json"
APPLICATION_BRIDGE_JSON = "application/vnd.org.midonet.Bridge-v3+json"
APPLICATION_BRIDGE_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.Bridge-v3+json"
APPLICATION_HOST_JSON = "application/vnd.org.midonet.Host-v2+json"
APPLICATION_HOST_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.Host-v2+json"
APPLICATION_INTERFACE_JSON = "application/vnd.org.midonet.Interface-v1+json"
APPLICATION_INTERFACE_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.Interface-v1+json"
APPLICATION_HOST_COMMAND_JSON = \
"application/vnd.org.midonet.HostCommand-v1+json"
APPLICATION_HOST_COMMAND_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.HostCommand-v1+json"
APPLICATION_PORT_LINK_JSON = "application/vnd.org.midonet.PortLink-v1+json"
APPLICATION_ROUTE_JSON = "application/vnd.org.midonet.Route-v1+json"
APPLICATION_ROUTE_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.Route-v1+json"
APPLICATION_PORTGROUP_JSON = "application/vnd.org.midonet.PortGroup-v1+json"
APPLICATION_PORTGROUP_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.PortGroup-v1+json"
APPLICATION_PORTGROUP_PORT_JSON = \
"application/vnd.org.midonet.PortGroupPort-v1+json"
APPLICATION_PORTGROUP_PORT_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.PortGroupPort-v1+json"
APPLICATION_CHAIN_JSON = "application/vnd.org.midonet.Chain-v1+json"
APPLICATION_CHAIN_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.Chain-v1+json"
APPLICATION_RULE_JSON = "application/vnd.org.midonet.Rule-v2+json"
APPLICATION_RULE_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.Rule-v2+json"
APPLICATION_BGP_JSON = "application/vnd.org.midonet.Bgp-v1+json"
APPLICATION_BGP_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.Bgp-v1+json"
APPLICATION_AD_ROUTE_JSON = "application/vnd.org.midonet.AdRoute-v1+json"
APPLICATION_AD_ROUTE_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.AdRoute-v1+json"
APPLICATION_BGP_NETWORK_JSON = "application/vnd.org.midonet.BgpNetwork-v1+json"
APPLICATION_BGP_NETWORK_COLLECTION_JSON =\
"application/vnd.org.midonet.collection.BgpNetwork-v1+json"
APPLICATION_BGP_PEER_JSON = "application/vnd.org.midonet.BgpPeer-v1+json"
APPLICATION_BGP_PEER_COLLECTION_JSON =\
"application/vnd.org.midonet.collection.BgpPeer-v1+json"
APPLICATION_VPN_JSON = "application/vnd.org.midonet.Vpn-v1+json"
APPLICATION_VPN_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.Vpn-v1+json"
APPLICATION_DHCP_SUBNET_JSON = "application/vnd.org.midonet.DhcpSubnet-v2+json"
APPLICATION_DHCP_SUBNET_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.DhcpSubnet-v2+json"
APPLICATION_DHCP_HOST_JSON = "application/vnd.org.midonet.DhcpHost-v1+json"
APPLICATION_DHCP_HOST_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.DhcpHost-v1+json"
APPLICATION_DHCPV6_SUBNET_JSON = \
"application/vnd.org.midonet.DhcpV6Subnet-v1+json"
APPLICATION_DHCPV6_SUBNET_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.DhcpV6Subnet-v1+json"
APPLICATION_DHCPV6_HOST_JSON = "application/vnd.org.midonet.DhcpV6Host-v1+json"
APPLICATION_DHCPV6_HOST_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.DhcpV6Host-v1+json"
APPLICATION_MONITORING_QUERY_RESPONSE_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.mgmt.MetricQueryResponse-v1+json"
APPLICATION_MONITORING_QUERY_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.MetricQuery-v1+json"
APPLICATION_METRICS_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.Metric-v1+json"
APPLICATION_METRIC_TARGET_JSON = \
"application/vnd.org.midonet.MetricTarget-v1+json"
APPLICATION_TUNNEL_ZONE_JSON = "application/vnd.org.midonet.TunnelZone-v1+json"
APPLICATION_TUNNEL_ZONE_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.TunnelZone-v1+json"
APPLICATION_TUNNEL_ZONE_HOST_JSON = \
"application/vnd.org.midonet.TunnelZoneHost-v1+json"
APPLICATION_TUNNEL_ZONE_HOST_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.TunnelZoneHost-v1+json"
APPLICATION_GRE_TUNNEL_ZONE_HOST_JSON = \
"application/vnd.org.midonet.GreTunnelZoneHost-v1+json"
APPLICATION_GRE_TUNNEL_ZONE_HOST_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.GreTunnelZoneHost-v1+json"
APPLICATION_HOST_INTERFACE_PORT_JSON = \
"application/vnd.org.midonet.HostInterfacePort-v1+json"
APPLICATION_HOST_INTERFACE_PORT_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.HostInterfacePort-v1+json"
APPLICATION_CONDITION_JSON = "application/vnd.org.midonet.Condition-v1+json"
APPLICATION_CONDITION_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.Condition-v1+json"
APPLICATION_TRACE_JSON = "application/vnd.org.midonet.Trace-v1+json"
APPLICATION_TRACE_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.Trace-v1+json"
APPLICATION_WRITE_VERSION_JSON = \
"application/vnd.org.midonet.WriteVersion-v1+json"
APPLICATION_SYSTEM_STATE_JSON = \
"application/vnd.org.midonet.SystemState-v2+json"
APPLICATION_HOST_VERSION_JSON = \
"application/vnd.org.midonet.HostVersion-v1+json"
# Port media types
APPLICATION_PORT_JSON = "application/vnd.org.midonet.Port-v2+json"
APPLICATION_PORT_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.Port-v2+json"
APPLICATION_IP_ADDR_GROUP_JSON = \
"application/vnd.org.midonet.IpAddrGroup-v1+json"
APPLICATION_IP_ADDR_GROUP_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.IpAddrGroup-v1+json"
APPLICATION_IP_ADDR_GROUP_ADDR_JSON = \
"application/vnd.org.midonet.IpAddrGroupAddr-v1+json"
APPLICATION_IP_ADDR_GROUP_ADDR_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.IpAddrGroupAddr-v1+json"
# L4LB media types
APPLICATION_LOAD_BALANCER_JSON = \
"application/vnd.org.midonet.LoadBalancer-v1+json"
APPLICATION_LOAD_BALANCER_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.LoadBalancer-v1+json"
APPLICATION_VIP_JSON = "application/vnd.org.midonet.VIP-v1+json"
APPLICATION_VIP_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.VIP-v1+json"
APPLICATION_POOL_JSON = "application/vnd.org.midonet.Pool-v1+json"
APPLICATION_POOL_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.Pool-v1+json"
APPLICATION_POOL_MEMBER_JSON = "application/vnd.org.midonet.PoolMember-v1+json"
APPLICATION_POOL_MEMBER_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.PoolMember-v1+json"
APPLICATION_HEALTH_MONITOR_JSON = \
"application/vnd.org.midonet.HealthMonitor-v1+json"
APPLICATION_HEALTH_MONITOR_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.HealthMonitor-v1+json"
APPLICATION_POOL_STATISTIC_JSON = \
"application/vnd.org.midonet.PoolStatistic-v1+json"
APPLICATION_POOL_STATISTIC_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.PoolStatistic-v1+json"
# VxGW
APPLICATION_VTEP_JSON = "application/vnd.org.midonet.VTEP-v1+json"
APPLICATION_VTEP_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.VTEP-v1+json"
APPLICATION_VTEP_BINDING_JSON = \
"application/vnd.org.midonet.VTEPBinding-v1+json"
APPLICATION_VTEP_BINDING_COLLECTION_JSON = \
"application/vnd.org.midonet.collection.VTEPBinding-v1+json"
| 49.695906
| 79
| 0.814074
| 1,097
| 8,498
| 6.058341
| 0.148587
| 0.36789
| 0.214866
| 0.30334
| 0.673488
| 0.416642
| 0.335841
| 0.110442
| 0.018658
| 0.018658
| 0
| 0.013422
| 0.07943
| 8,498
| 170
| 80
| 49.988235
| 0.836124
| 0.076606
| 0
| 0
| 0
| 0
| 0.541518
| 0.541518
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
6b451c2f6be5924a1d246c05307b7164a5d127b8
| 5,780
|
py
|
Python
|
zignal/tests/test_music_scales.py
|
fspacheco/zignal
|
19ac50157a276e9640e362b0472a5e209dfe6709
|
[
"MIT"
] | null | null | null |
zignal/tests/test_music_scales.py
|
fspacheco/zignal
|
19ac50157a276e9640e362b0472a5e209dfe6709
|
[
"MIT"
] | null | null | null |
zignal/tests/test_music_scales.py
|
fspacheco/zignal
|
19ac50157a276e9640e362b0472a5e209dfe6709
|
[
"MIT"
] | null | null | null |
'''
Created on 24 Feb 2015
@author: Ronny Andersson (ronny@andersson.tk)
@copyright: (c) 2015 Ronny Andersson
@license: MIT
'''
# standard library
from __future__ import division, print_function
import unittest
# external libraries
import nose
# local libraries
from zignal.music import scales
class Test_midi_scales(unittest.TestCase):
# Benson, DJ. (2006). Music: A Mathematical Offering. Cambridge University Press.
# http://homepages.abdn.ac.uk/mth192/pages/html/maths-music.html
def test_freq2key_quantise(self):
# 70 466.164
# 69 440.00
# 68 415.305
self.assertAlmostEqual(scales.midi_freq2key(416.4, quantise=True), 68, places=7)
self.assertAlmostEqual(scales.midi_freq2key(438.0, quantise=True), 69, places=7)
self.assertAlmostEqual(scales.midi_freq2key(441.0, quantise=True), 69, places=7)
self.assertAlmostEqual(scales.midi_freq2key(442.0, quantise=True), 69, places=7)
self.assertAlmostEqual(scales.midi_freq2key(452.1, quantise=True), 69, places=7)
self.assertAlmostEqual(scales.midi_freq2key(453.1, quantise=True), 70, places=7)
self.assertAlmostEqual(scales.midi_freq2key(460.0, quantise=True), 70, places=7)
self.assertAlmostEqual(scales.midi_freq2key(470.0, quantise=True), 70, places=7)
def test_key2freq(self):
self.assertAlmostEqual(scales.midi_key2freq(69), 440.0, places=7)
self.assertAlmostEqual(scales.midi_key2freq(81), 880.0, places=7)
self.assertAlmostEqual(scales.midi_key2freq(21), 27.5, places=7)
self.assertAlmostEqual(scales.midi_key2freq(43), 97.9989, places=4)
def test_freq2key(self):
self.assertAlmostEqual(scales.midi_freq2key(440), 69.0, places=7)
self.assertAlmostEqual(scales.midi_freq2key(880), 81.0, places=7)
def test_key2freq_tuning(self):
self.assertAlmostEqual(scales.midi_key2freq(69, tuning=450), 450.0, places=7)
self.assertAlmostEqual(scales.midi_key2freq(81, tuning=450), 900.0, places=7)
self.assertAlmostEqual(scales.midi_key2freq(21, tuning=400), 25.0, places=7)
def test_freq2key_tuning(self):
self.assertAlmostEqual(scales.midi_freq2key(450, tuning=450), 69.0, places=7)
self.assertAlmostEqual(scales.midi_freq2key(900, tuning=450), 81.0, places=7)
def test_back2back_key(self):
self.assertAlmostEqual(scales.midi_key2freq(scales.midi_freq2key(1234)), 1234, places=7)
self.assertAlmostEqual(scales.midi_key2freq(scales.midi_freq2key(45.67)), 45.67, places=7)
def test_back2back_freq(self):
self.assertAlmostEqual(scales.midi_freq2key(scales.midi_key2freq(76.543)), 76.543, places=7)
self.assertAlmostEqual(scales.midi_freq2key(scales.midi_key2freq(124)), 124, places=7)
class Test_piano_note_to_freq(unittest.TestCase):
def test_octaves(self):
self.assertAlmostEqual(scales.piano_note2freq('A2'), 110.0, places=7)
self.assertAlmostEqual(scales.piano_note2freq('A3'), 220.0, places=7)
self.assertAlmostEqual(scales.piano_note2freq('A4'), 440.0, places=7)
self.assertAlmostEqual(scales.piano_note2freq('A5'), 880.0, places=7)
self.assertAlmostEqual(scales.piano_note2freq('A6'), 1760.0, places=7)
def test_values(self):
self.assertAlmostEqual(scales.piano_note2freq('C6'), 1046.50, places=2)
self.assertAlmostEqual(scales.piano_note2freq('D1'), 36.7081, places=4)
class Test_piano_freq_to_note(unittest.TestCase):
def test_values(self):
self.assertEqual(scales.piano_freq2note(1046.50), 'C6')
self.assertEqual(scales.piano_freq2note(36.7051), 'D1')
self.assertEqual(scales.piano_freq2note(440), 'A4')
def test_quantise(self):
self.assertEqual(scales.piano_freq2note(435.00), 'A4')
self.assertEqual(scales.piano_freq2note(439.00), 'A4')
self.assertEqual(scales.piano_freq2note(440.00), 'A4')
self.assertEqual(scales.piano_freq2note(441.00), 'A4')
self.assertEqual(scales.piano_freq2note(447.00), 'A4')
class Test_piano(unittest.TestCase):
def test_back2back_key(self):
self.assertAlmostEqual(scales.piano_key2freq(scales.piano_freq2key(100)), 100, places=7)
self.assertAlmostEqual(scales.piano_key2freq(scales.piano_freq2key(32)), 32, places=7)
self.assertAlmostEqual(scales.piano_key2freq(scales.piano_freq2key(997)), 997, places=7)
self.assertAlmostEqual(scales.piano_key2freq(scales.piano_freq2key(12345)), 12345, places=7)
self.assertAlmostEqual(scales.piano_key2freq(scales.piano_freq2key(4.563)), 4.563, places=7)
def test_back2back_freq(self):
self.assertAlmostEqual(scales.piano_freq2key(scales.piano_key2freq(10)), 10, places=7)
self.assertAlmostEqual(scales.piano_freq2key(scales.piano_key2freq(49)), 49, places=7)
self.assertAlmostEqual(scales.piano_freq2key(scales.piano_key2freq(30.3)), 30.3, places=7)
def test_back2back_freq_quantised(self):
self.assertAlmostEqual(scales.piano_freq2key(scales.piano_key2freq(10.2),
quantise=True), 10, places=7)
self.assertAlmostEqual(scales.piano_freq2key(scales.piano_key2freq(34.678),
quantise=True), 35, places=7)
if __name__ == "__main__":
noseargs = [__name__,
"--verbosity=2",
"--logging-format=%(asctime)s %(levelname)-8s: %(name)-15s "+
"%(module)-15s %(funcName)-20s %(message)s",
"--logging-level=DEBUG",
__file__,
]
nose.run(argv=noseargs)
| 50.26087
| 101
| 0.684256
| 721
| 5,780
| 5.323162
| 0.226075
| 0.218864
| 0.281397
| 0.196978
| 0.723033
| 0.67431
| 0.574257
| 0.479416
| 0.348619
| 0.272017
| 0
| 0.100107
| 0.189446
| 5,780
| 114
| 102
| 50.701754
| 0.719104
| 0.060208
| 0
| 0.074074
| 0
| 0
| 0.031567
| 0.009046
| 0
| 0
| 0
| 0
| 0.592593
| 1
| 0.17284
| false
| 0
| 0.049383
| 0
| 0.271605
| 0.012346
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
861849c0f380f560406c2462086f258a1f58ba14
| 51
|
py
|
Python
|
katas/kyu_8/grasshopper_summation.py
|
ShRenat/codewars
|
c743b622122208c9ac5ba926957754e5165ea81f
|
[
"MIT"
] | null | null | null |
katas/kyu_8/grasshopper_summation.py
|
ShRenat/codewars
|
c743b622122208c9ac5ba926957754e5165ea81f
|
[
"MIT"
] | null | null | null |
katas/kyu_8/grasshopper_summation.py
|
ShRenat/codewars
|
c743b622122208c9ac5ba926957754e5165ea81f
|
[
"MIT"
] | null | null | null |
def summation(num):
return sum(range(num + 1))
| 17
| 30
| 0.647059
| 8
| 51
| 4.125
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.02439
| 0.196078
| 51
| 2
| 31
| 25.5
| 0.780488
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0.5
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 4
|
8619586b83c3d17ed020d9e59bba2b81e73ae4b5
| 52
|
py
|
Python
|
ovmm/commands/__init__.py
|
tobiasraabe/otree_virtual_machine_manager
|
72c2e384f599e400720cad14d0cd28d515214563
|
[
"MIT"
] | 2
|
2017-03-22T05:38:10.000Z
|
2017-10-17T13:15:35.000Z
|
ovmm/commands/__init__.py
|
tobiasraabe/otree_virtual_machine_manager
|
72c2e384f599e400720cad14d0cd28d515214563
|
[
"MIT"
] | 53
|
2017-01-22T09:39:03.000Z
|
2017-10-20T08:13:43.000Z
|
ovmm/commands/__init__.py
|
tobiasraabe/otree_virtual_machine_manager
|
72c2e384f599e400720cad14d0cd28d515214563
|
[
"MIT"
] | null | null | null |
"""This module contains all command of ``ovmm``."""
| 26
| 51
| 0.653846
| 7
| 52
| 4.857143
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.134615
| 52
| 1
| 52
| 52
| 0.755556
| 0.865385
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
862dbbcdfa2b205e7f40c83b3ba887d2dfc80d0e
| 1,373
|
py
|
Python
|
tests/test_structure_decomposition.py
|
TariqTNO/OpenQL
|
8da802cae3a7b8c244edb4d3b74be9e60250528c
|
[
"Apache-2.0"
] | 61
|
2019-04-24T08:25:41.000Z
|
2022-03-01T22:23:23.000Z
|
tests/test_structure_decomposition.py
|
TariqTNO/OpenQL
|
8da802cae3a7b8c244edb4d3b74be9e60250528c
|
[
"Apache-2.0"
] | 141
|
2019-03-27T16:19:06.000Z
|
2022-03-03T10:11:47.000Z
|
tests/test_structure_decomposition.py
|
TariqTNO/OpenQL
|
8da802cae3a7b8c244edb4d3b74be9e60250528c
|
[
"Apache-2.0"
] | 43
|
2019-03-27T13:40:45.000Z
|
2022-01-14T12:48:51.000Z
|
import os
from utils import file_compare
import unittest
from openql import openql as ql
curdir = os.path.dirname(os.path.realpath(__file__))
output_dir = os.path.join(curdir, 'test_output')
class Test_structure_decomposition(unittest.TestCase):
def run_test_case(self, name):
old_wd = os.getcwd()
try:
os.chdir(curdir)
in_fn = 'test_' + name + '.cq'
out_fn = 'test_output/' + name + '_out.cq'
gold_fn = 'golden/' + name + '_out.cq'
ql.compile(in_fn)
self.assertTrue(file_compare(out_fn, gold_fn))
finally:
os.chdir(old_wd)
def test_structure_decomposition_goto(self):
self.run_test_case('structure_decomposition_goto')
def test_structure_decomposition_if_else(self):
self.run_test_case('structure_decomposition_if_else')
def test_structure_decomposition_foreach(self):
self.run_test_case('structure_decomposition_foreach')
def test_structure_decomposition_for(self):
self.run_test_case('structure_decomposition_for')
def test_structure_decomposition_while(self):
self.run_test_case('structure_decomposition_while')
def test_structure_decomposition_repeat_until(self):
self.run_test_case('structure_decomposition_repeat_until')
if __name__ == '__main__':
unittest.main()
| 29.212766
| 66
| 0.701384
| 173
| 1,373
| 5.115607
| 0.289017
| 0.323164
| 0.20565
| 0.19661
| 0.277966
| 0.277966
| 0.277966
| 0
| 0
| 0
| 0
| 0
| 0.20539
| 1,373
| 46
| 67
| 29.847826
| 0.811182
| 0
| 0
| 0
| 0
| 0
| 0.176256
| 0.132556
| 0
| 0
| 0
| 0
| 0.03125
| 1
| 0.21875
| false
| 0
| 0.125
| 0
| 0.375
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
86362bafd62909b880aad6da4736386ddcbe5c55
| 141
|
py
|
Python
|
documents/__init__.py
|
nuwainfo/treeio
|
f57bf9114d9774c11468a1b0e44614b04631beb1
|
[
"MIT"
] | 242
|
2015-01-01T15:08:23.000Z
|
2022-01-19T21:14:24.000Z
|
documents/__init__.py
|
nuwainfo/treeio
|
f57bf9114d9774c11468a1b0e44614b04631beb1
|
[
"MIT"
] | 52
|
2015-01-05T09:13:17.000Z
|
2018-12-26T14:52:43.000Z
|
documents/__init__.py
|
nuwainfo/treeio
|
f57bf9114d9774c11468a1b0e44614b04631beb1
|
[
"MIT"
] | 99
|
2015-01-09T23:28:14.000Z
|
2021-12-30T09:19:51.000Z
|
# encoding: utf-8
# Copyright 2011 Tree.io Limited
# This file is part of Treeio.
# License www.tree.io/license
"""
Documents docstring
"""
| 15.666667
| 32
| 0.716312
| 21
| 141
| 4.809524
| 0.857143
| 0.118812
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.042373
| 0.163121
| 141
| 8
| 33
| 17.625
| 0.813559
| 0.879433
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
864dce2a6678d15acd7e82f7dc140723550b55a9
| 182
|
py
|
Python
|
lab/lab8/genmat.py
|
YZL24/SUSTech-CS205
|
c15e4055b3e260e84e94c8db46b4180448c3619f
|
[
"MIT"
] | null | null | null |
lab/lab8/genmat.py
|
YZL24/SUSTech-CS205
|
c15e4055b3e260e84e94c8db46b4180448c3619f
|
[
"MIT"
] | null | null | null |
lab/lab8/genmat.py
|
YZL24/SUSTech-CS205
|
c15e4055b3e260e84e94c8db46b4180448c3619f
|
[
"MIT"
] | null | null | null |
from random import random
with open('mat2.txt', 'w+') as f:
for _ in range(100):
for _ in range(100):
f.write(f'{random()*100:.2f} ')
f.write('\n')
| 20.222222
| 43
| 0.516484
| 28
| 182
| 3.285714
| 0.607143
| 0.108696
| 0.217391
| 0.282609
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.085938
| 0.296703
| 182
| 8
| 44
| 22.75
| 0.632813
| 0
| 0
| 0.333333
| 0
| 0
| 0.17033
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.166667
| 0
| 0.166667
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
86514d5a6f07a08866a536927bdc4fdf42fe3668
| 1,040
|
py
|
Python
|
software/scripts/setupLibPaths.py
|
slaclab/atlas-rd53-fmc-dev
|
1c5e50980dca3389c9b9a8eaa7c215f5c21eff87
|
[
"BSD-3-Clause-LBNL"
] | 2
|
2021-08-17T17:59:19.000Z
|
2021-08-17T17:59:44.000Z
|
software/scripts/setupLibPaths.py
|
slaclab/atlas-rd53-fmc-dev
|
1c5e50980dca3389c9b9a8eaa7c215f5c21eff87
|
[
"BSD-3-Clause-LBNL"
] | 3
|
2020-09-14T21:36:26.000Z
|
2020-11-02T17:51:41.000Z
|
software/scripts/setupLibPaths.py
|
slaclab/atlas-rd53-fmc-dev
|
1c5e50980dca3389c9b9a8eaa7c215f5c21eff87
|
[
"BSD-3-Clause-LBNL"
] | 1
|
2020-12-12T23:14:16.000Z
|
2020-12-12T23:14:16.000Z
|
#!/usr/bin/env python3
#-----------------------------------------------------------------------------
# This file is part of the 'Camera link gateway'. It is subject to
# the license terms in the LICENSE.txt file found in the top-level directory
# of this distribution and at:
# https://confluence.slac.stanford.edu/display/ppareg/LICENSE.html.
# No part of the 'Camera link gateway', including this file, may be
# copied, modified, propagated, or distributed except according to the terms
# contained in the LICENSE.txt file.
#-----------------------------------------------------------------------------
import pyrogue as pr
pr.addLibraryPath('../../firmware/submodules/atlas-rd53-fw-lib/python')
pr.addLibraryPath('../../firmware/submodules/axi-pcie-core/python')
pr.addLibraryPath('../../firmware/submodules/surf/python')
pr.addLibraryPath('../../firmware/submodules/rce-gen3-fw-lib/python')
pr.addLibraryPath('../../firmware/common/fmc/python')
#pr.addLibraryPath('../../firmware/common/feb/python')
pr.addLibraryPath('../python')
| 52
| 78
| 0.635577
| 124
| 1,040
| 5.330645
| 0.548387
| 0.16944
| 0.217852
| 0.226929
| 0.441755
| 0.184569
| 0
| 0
| 0
| 0
| 0
| 0.004184
| 0.080769
| 1,040
| 19
| 79
| 54.736842
| 0.687238
| 0.617308
| 0
| 0
| 0
| 0
| 0.573643
| 0.550388
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.142857
| 0
| 0.142857
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
8658e7b50fa7ff04601eb7178c721b3fd12eee98
| 62
|
py
|
Python
|
test_file/testide.py
|
EXPmaster/notepad
|
b2d5535b424b8fbfa6786fc23af0d28e110fc2ba
|
[
"MIT"
] | 4
|
2020-11-15T15:45:15.000Z
|
2020-11-22T08:08:08.000Z
|
test_file/testide.py
|
EXPmaster/notepad
|
b2d5535b424b8fbfa6786fc23af0d28e110fc2ba
|
[
"MIT"
] | null | null | null |
test_file/testide.py
|
EXPmaster/notepad
|
b2d5535b424b8fbfa6786fc23af0d28e110fc2ba
|
[
"MIT"
] | null | null | null |
name=input("please input your name:"
print("Hello "+name)
| 20.666667
| 38
| 0.677419
| 9
| 62
| 4.666667
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.16129
| 62
| 3
| 39
| 20.666667
| 0.807692
| 0
| 0
| 0
| 0
| 0
| 0.47541
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.5
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
869f003fd79b34cbe91c7d48d62e338ce2f67b6f
| 283
|
py
|
Python
|
src/dropbot_monitor/__init__.py
|
sci-bots/dropbot-monitor
|
1c786d25e8d2f548311e297495592f152580d6bc
|
[
"BSD-3-Clause"
] | null | null | null |
src/dropbot_monitor/__init__.py
|
sci-bots/dropbot-monitor
|
1c786d25e8d2f548311e297495592f152580d6bc
|
[
"BSD-3-Clause"
] | 1
|
2019-11-19T15:27:51.000Z
|
2019-11-19T15:28:07.000Z
|
src/dropbot_monitor/__init__.py
|
sci-bots/dropbot-monitor
|
1c786d25e8d2f548311e297495592f152580d6bc
|
[
"BSD-3-Clause"
] | null | null | null |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from ._version import get_versions
__version__ = get_versions()['version']
del get_versions
from .blinker_mqtt import *
from .mqtt_async import *
from .mqtt_bridge import *
| 28.3
| 66
| 0.745583
| 34
| 283
| 5.676471
| 0.5
| 0.170984
| 0.186529
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.187279
| 283
| 9
| 67
| 31.444444
| 0.83913
| 0
| 0
| 0
| 0
| 0
| 0.024735
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.625
| 0
| 0.625
| 0.125
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
86d4c7f16fae56372b48195a2b576431e5fa079d
| 55
|
py
|
Python
|
metaopt/optimizer/__init__.py
|
cigroup-ol/metaopt
|
6dfd5105d3c6eaf00f96670175cae16021069514
|
[
"BSD-3-Clause"
] | 8
|
2015-02-02T21:42:23.000Z
|
2019-06-30T18:12:43.000Z
|
metaopt/optimizer/__init__.py
|
cigroup-ol/metaopt
|
6dfd5105d3c6eaf00f96670175cae16021069514
|
[
"BSD-3-Clause"
] | 4
|
2015-09-24T14:12:38.000Z
|
2021-12-08T22:42:52.000Z
|
metaopt/optimizer/__init__.py
|
cigroup-ol/metaopt
|
6dfd5105d3c6eaf00f96670175cae16021069514
|
[
"BSD-3-Clause"
] | 6
|
2015-02-27T12:35:33.000Z
|
2020-10-15T21:04:02.000Z
|
# -*- coding: utf-8 -*-
"""
Package of optimizers.
"""
| 11
| 23
| 0.527273
| 6
| 55
| 4.833333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.022222
| 0.181818
| 55
| 4
| 24
| 13.75
| 0.622222
| 0.818182
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
81051d7d60ba56e2618c21618074f1176cc6f40b
| 161
|
py
|
Python
|
ch03/3_5.py
|
shifumin/create-deep-learning-from-scratch
|
cdcb753654863950065c6980e4913369c40a2850
|
[
"MIT"
] | null | null | null |
ch03/3_5.py
|
shifumin/create-deep-learning-from-scratch
|
cdcb753654863950065c6980e4913369c40a2850
|
[
"MIT"
] | null | null | null |
ch03/3_5.py
|
shifumin/create-deep-learning-from-scratch
|
cdcb753654863950065c6980e4913369c40a2850
|
[
"MIT"
] | null | null | null |
import numpy as np
def softmaxa):
c = np.max(a)
exp_a = np.exp(a - c) # オーバーフロー対策
sum_exp_a = np.sum(exp_a)
y = exp_a / sum_exp_a
return y
| 16.1
| 37
| 0.590062
| 32
| 161
| 2.75
| 0.4375
| 0.272727
| 0.238636
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.298137
| 161
| 9
| 38
| 17.888889
| 0.778761
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.142857
| null | null | 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
81189d275d73853eb1cdbffbca8cd67a26a3faed
| 177
|
py
|
Python
|
examples/misc/djangotasks/todo/models.py
|
takipsizad/pyjs
|
54db0ba6747aca744f9f3c3e985a17e913dfb951
|
[
"ECL-2.0",
"Apache-2.0"
] | 739
|
2015-01-01T02:05:11.000Z
|
2022-03-30T15:26:16.000Z
|
examples/misc/djangotasks/todo/models.py
|
takipsizad/pyjs
|
54db0ba6747aca744f9f3c3e985a17e913dfb951
|
[
"ECL-2.0",
"Apache-2.0"
] | 33
|
2015-03-25T23:17:04.000Z
|
2021-08-19T08:25:22.000Z
|
examples/misc/djangotasks/todo/models.py
|
takipsizad/pyjs
|
54db0ba6747aca744f9f3c3e985a17e913dfb951
|
[
"ECL-2.0",
"Apache-2.0"
] | 167
|
2015-01-01T22:27:47.000Z
|
2022-03-17T13:29:19.000Z
|
from django.db import models
class Todo(models.Model):
task = models.CharField(max_length=30)
def __unicode__(self):
return unicode(self.task)
# Create your models here.
| 17.7
| 39
| 0.757062
| 26
| 177
| 4.961538
| 0.769231
| 0.170543
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.013158
| 0.141243
| 177
| 9
| 40
| 19.666667
| 0.835526
| 0.135593
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.2
| 0.2
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
d49993acfc37171b414a426caddc20982191c4f9
| 3,118
|
py
|
Python
|
run.py
|
Chippers255/scheduler
|
ff4a0d69a2dc0e16e007583e381ba83c9e660f3f
|
[
"MIT"
] | 1
|
2021-12-19T02:43:31.000Z
|
2021-12-19T02:43:31.000Z
|
run.py
|
Chippers255/scheduler
|
ff4a0d69a2dc0e16e007583e381ba83c9e660f3f
|
[
"MIT"
] | null | null | null |
run.py
|
Chippers255/scheduler
|
ff4a0d69a2dc0e16e007583e381ba83c9e660f3f
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
# run.py
#
# Created by Thomas Nelson <tn90ca@gmail.com>
#
# Created..........2015-03-12
# Modified.........2015-03-12
# Import required modules
import random
# Import required user made modules
from scheduler import Store, Employee, Individual
common_grounds = Store()
employee_list = []
employee_list.append(Employee(common_grounds, 'Tom'))
employee_list.append(Employee(common_grounds, 'Adam'))
employee_list.append(Employee(common_grounds, 'Julie'))
employee_list.append(Employee(common_grounds, 'Vini'))
employee_list[0].add_hours(0, '07:30', '12:00', common_grounds)
employee_list[0].add_hours(0, '14:00', '15:00', common_grounds)
employee_list[0].add_hours(1, '07:30', '12:30', common_grounds)
employee_list[0].add_hours(2, '07:30', '12:00', common_grounds)
employee_list[0].add_hours(3, '07:30', '12:30', common_grounds)
employee_list[0].add_hours(4, '07:30', '12:00', common_grounds)
employee_list[1].add_hours(0, '09:00', '09:30', common_grounds)
employee_list[1].add_hours(0, '11:00', '11:30', common_grounds)
employee_list[1].add_hours(0, '19:00', '21:30', common_grounds)
employee_list[1].add_hours(1, '07:30', '15:30', common_grounds)
employee_list[1].add_hours(2, '09:00', '09:30', common_grounds)
employee_list[1].add_hours(2, '11:00', '11:30', common_grounds)
employee_list[1].add_hours(2, '19:00', '21:30', common_grounds)
employee_list[1].add_hours(3, '07:30', '15:30', common_grounds)
employee_list[1].add_hours(4, '09:00', '09:30', common_grounds)
employee_list[1].add_hours(4, '11:00', '11:30', common_grounds)
employee_list[2].add_hours(0, '07:30', '21:30', common_grounds)
employee_list[2].add_hours(1, '07:30', '21:30', common_grounds)
employee_list[2].add_hours(2, '07:30', '21:30', common_grounds)
employee_list[2].add_hours(3, '16:00', '21:30', common_grounds)
employee_list[2].add_hours(4, '16:00', '18:30', common_grounds)
employee_list[2].add_hours(5, '10:00', '17:30', common_grounds)
employee_list[3].add_hours(0, '16:00', '21:30', common_grounds)
employee_list[3].add_hours(1, '16:00', '21:30', common_grounds)
employee_list[3].add_hours(2, '16:00', '21:30', common_grounds)
employee_list[3].add_hours(3, '07:30', '21:30', common_grounds)
employee_list[3].add_hours(4, '07:30', '18:30', common_grounds)
employee_list[3].add_hours(5, '10:00', '17:30', common_grounds)
pop_size = 500
population = [Individual(None, employee_list, common_grounds, 0) for x in xrange(pop_size)]
for x in xrange(100):
best = scheduler.utils.selection(population, pop_size)
if best.score <= 10.0:
break
print "Epoch:", x, "=", best.score
new_pop = []
if (x % 5) == 0:
pop_size -= 20
while len(new_pop) < pop_size:
m1 = scheduler.utils.selection(population, 20)
m2 = scheduler.utils.selection(population, 20)
new_pop.append(utils.crossover(m1, m2, employee_list, common_grounds, 0))
population = new_pop
print
print
best = scheduler.utils.selection(population, pop_size)
print best.score
for t in xrange(len(best.c)):
print common_grounds.date[0][t], ":", employee_list[best.c[t]].name
| 36.255814
| 91
| 0.70526
| 518
| 3,118
| 4.032819
| 0.164093
| 0.224031
| 0.271422
| 0.323121
| 0.744375
| 0.678794
| 0.591192
| 0.549067
| 0.450455
| 0.382001
| 0
| 0.116271
| 0.109044
| 3,118
| 85
| 92
| 36.682353
| 0.635709
| 0.059654
| 0
| 0.070175
| 0
| 0
| 0.104038
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.035088
| null | null | 0.087719
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
d4cd49b38e05ac78b3d8abc05ca06f0132c85ca8
| 178
|
py
|
Python
|
api/curve/v1/plugins/__init__.py
|
newstartcheng/Curve
|
03ad63b36f4622501a609c12c2f9a866db5c6865
|
[
"Apache-2.0"
] | 1
|
2018-03-10T06:39:28.000Z
|
2018-03-10T06:39:28.000Z
|
api/curve/v1/plugins/__init__.py
|
newstartcheng/Curve
|
03ad63b36f4622501a609c12c2f9a866db5c6865
|
[
"Apache-2.0"
] | null | null | null |
api/curve/v1/plugins/__init__.py
|
newstartcheng/Curve
|
03ad63b36f4622501a609c12c2f9a866db5c6865
|
[
"Apache-2.0"
] | null | null | null |
# -*- coding: utf-8 -*-
"""
plugin
~~~~
plugin manager and plugin api
:copyright: (c) 2017 by Baidu, Inc.
:license: Apache, see LICENSE for more details.
"""
| 19.777778
| 51
| 0.573034
| 22
| 178
| 4.636364
| 0.863636
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.038168
| 0.264045
| 178
| 9
| 52
| 19.777778
| 0.740458
| 0.837079
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
d4e654f240b413237312c21ffa16db539aac75c2
| 284
|
py
|
Python
|
game/admin.py
|
BlackwoodOne/Storytelling2.0
|
6a75045ced8711f52e568290b4b6b0d546434d7b
|
[
"MIT"
] | 1
|
2018-07-20T20:17:47.000Z
|
2018-07-20T20:17:47.000Z
|
game/admin.py
|
BlackwoodOne/Storytelling2.0
|
6a75045ced8711f52e568290b4b6b0d546434d7b
|
[
"MIT"
] | null | null | null |
game/admin.py
|
BlackwoodOne/Storytelling2.0
|
6a75045ced8711f52e568290b4b6b0d546434d7b
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from .models import Game, Player,Sentence,WordCard, GameState, RoundState
admin.site.register(Game)
admin.site.register(Player)
admin.site.register(Sentence)
admin.site.register(WordCard)
admin.site.register(GameState)
admin.site.register(RoundState)
| 31.555556
| 73
| 0.830986
| 38
| 284
| 6.210526
| 0.368421
| 0.228814
| 0.432203
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.059859
| 284
| 9
| 74
| 31.555556
| 0.883895
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.25
| 0
| 0.25
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
be12f4811c933102fe6f4ee97eb45f662b22e42e
| 615
|
py
|
Python
|
tests/unit/executors/test_splay.py
|
Noah-Huppert/salt
|
998c382f5f2c3b4cbf7d96aa6913ada6993909b3
|
[
"Apache-2.0"
] | 19
|
2016-01-29T14:37:52.000Z
|
2022-03-30T18:08:01.000Z
|
tests/unit/executors/test_splay.py
|
Noah-Huppert/salt
|
998c382f5f2c3b4cbf7d96aa6913ada6993909b3
|
[
"Apache-2.0"
] | 223
|
2016-03-02T16:39:41.000Z
|
2022-03-03T12:26:35.000Z
|
tests/unit/executors/test_splay.py
|
Noah-Huppert/salt
|
998c382f5f2c3b4cbf7d96aa6913ada6993909b3
|
[
"Apache-2.0"
] | 64
|
2016-02-04T19:45:26.000Z
|
2021-12-15T02:02:31.000Z
|
# -*- coding: utf-8 -*-
from __future__ import absolute_import, print_function, unicode_literals
import salt.executors.splay as splay_exec
# Import Salt libs
from tests.support.mixins import LoaderModuleMockMixin
from tests.support.unit import TestCase
class SplayTestCase(TestCase, LoaderModuleMockMixin):
def setup_loader_modules(self):
return {splay_exec: {"__grains__": {"id": "foo"}}}
def test__get_hash(self):
# We just want to make sure that this function does not result in an
# error due to passing a unicode value to bytearray()
assert splay_exec._get_hash()
| 30.75
| 76
| 0.736585
| 82
| 615
| 5.268293
| 0.695122
| 0.0625
| 0.074074
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.001988
| 0.182114
| 615
| 19
| 77
| 32.368421
| 0.856859
| 0.255285
| 0
| 0
| 0
| 0
| 0.033113
| 0
| 0
| 0
| 0
| 0
| 0.111111
| 1
| 0.222222
| false
| 0
| 0.444444
| 0.111111
| 0.888889
| 0.111111
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 4
|
be1da47ecf7c71ae3422903348e6b12b29f92fc5
| 119
|
py
|
Python
|
language_features/other/predicate.py
|
PrasadHonrao/python-samples
|
faa48aa3eaf2d67b8cef0114e1f6ef08e2c1300a
|
[
"MIT"
] | 3
|
2018-08-20T13:00:01.000Z
|
2021-09-18T04:19:46.000Z
|
language_features/other/predicate.py
|
PrasadHonrao/python-samples
|
faa48aa3eaf2d67b8cef0114e1f6ef08e2c1300a
|
[
"MIT"
] | 1
|
2021-06-25T20:25:02.000Z
|
2021-08-19T22:44:31.000Z
|
language_features/other/predicate.py
|
PrasadHonrao/python-samples
|
faa48aa3eaf2d67b8cef0114e1f6ef08e2c1300a
|
[
"MIT"
] | 1
|
2021-09-18T23:51:20.000Z
|
2021-09-18T23:51:20.000Z
|
def is_even(x):
if (x % 2 == 0):
return True
return False
print([x for x in range(100) if is_even(x)])
| 19.833333
| 44
| 0.563025
| 23
| 119
| 2.826087
| 0.652174
| 0.184615
| 0.215385
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.059524
| 0.294118
| 119
| 6
| 44
| 19.833333
| 0.714286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0
| 0
| 0.6
| 0.2
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
be1ff324537f9bb25d324d922fd32ec1a8f45882
| 6,451
|
py
|
Python
|
tests/test_pyswitch/test_interface_pvlan.py
|
mfeed/PySwitchLib
|
54e872bcbe77f2ae840d845dadb7c5b9c12482ed
|
[
"Apache-2.0"
] | 6
|
2017-10-02T21:02:02.000Z
|
2018-07-04T13:56:55.000Z
|
tests/test_pyswitch/test_interface_pvlan.py
|
mfeed/PySwitchLib
|
54e872bcbe77f2ae840d845dadb7c5b9c12482ed
|
[
"Apache-2.0"
] | 23
|
2017-10-03T18:49:11.000Z
|
2019-07-20T00:25:44.000Z
|
tests/test_pyswitch/test_interface_pvlan.py
|
mfeed/PySwitchLib
|
54e872bcbe77f2ae840d845dadb7c5b9c12482ed
|
[
"Apache-2.0"
] | 4
|
2018-02-27T05:43:37.000Z
|
2019-06-30T13:30:25.000Z
|
from __future__ import absolute_import
import unittest
import yaml
from attrdict import AttrDict
from pyswitch.device import Device
class InterfacePrivateVlanTestCase(unittest.TestCase):
def __init__(self, *args, **kwargs):
super(InterfacePrivateVlanTestCase, self).__init__(*args, **kwargs)
with open('tests/test_pyswitch/config.yaml') as fileobj:
cfg = AttrDict(yaml.safe_load(fileobj))
switch = cfg.InterfacePrivateVlanTestCase.switch
self.switch_ip = switch.ip
self.switch_username = switch.username
self.switch_pasword = switch.password
self.rbridge_id = str(switch.rbridge_id)
self.pvlan = str(switch.pvlan)
self.svlan = str(switch.svlan)
self.int_name = str(switch.int_name)
self.int_type = str(switch.int_type)
self.conn = (self.switch_ip, '22')
self.auth = (self.switch_username, self.switch_pasword)
def setUp(self):
with Device(conn=self.conn, auth=self.auth) as dev:
dev.interface.add_vlan_int(vlan_id=self.pvlan)
dev.interface.add_vlan_int(vlan_id=self.svlan)
dev.interface.switchport(name=self.int_name,
int_type=self.int_type)
def test_private_vlan_type(self):
with Device(conn=self.conn, auth=self.auth) as dev:
dev.interface.private_vlan_type(name=self.pvlan,
pvlan_type='isolated')
op = dev.interface.private_vlan_type(get=True, name=self.pvlan)
self.assertEqual(op, 'isolated')
def test_vlan_pvlan_association_add(self):
with Device(conn=self.conn, auth=self.auth) as dev:
dev.interface.private_vlan_type(name=self.pvlan,
pvlan_type='primary')
dev.interface.private_vlan_type(name=self.svlan,
pvlan_type='isolated')
dev.interface.vlan_pvlan_association_add(
name=self.pvlan, sec_vlan=self.svlan)
op = dev.interface.vlan_pvlan_association_add(
get=True, name=self.pvlan)
self.assertEqual(op, self.svlan)
def test_switchport_pvlan_mapping(self):
with Device(conn=self.conn, auth=self.auth) as dev:
dev.interface.private_vlan_mode(name=self.int_name,
int_type=self.int_type,
mode='promiscuous')
dev.interface.private_vlan_type(name=self.pvlan,
pvlan_type='primary')
dev.interface.private_vlan_type(name=self.svlan,
pvlan_type='isolated')
dev.interface.vlan_pvlan_association_add(
name=self.pvlan, sec_vlan=self.svlan)
dev.interface.switchport_pvlan_mapping(
int_type=self.int_type,
name=self.int_name,
pri_vlan=self.pvlan,
sec_vlan=self.svlan)
op = dev.interface.switchport_pvlan_mapping(
int_type=self.int_type,
name=self.int_name,
get=True)
self.assertEqual(
{'pri_vlan': self.pvlan, 'sec_vlan': self.svlan}, op)
dev.interface.switchport_pvlan_mapping(
int_type=self.int_type,
name=self.int_name,
pri_vlan=self.pvlan,
sec_vlan=self.svlan, delete=True)
op = dev.interface.switchport_pvlan_mapping(
int_type=self.int_type,
name=self.int_name,
get=True)
self.assertNotEqual(
{'pri_vlan': self.pvlan, 'sec_vlan': self.svlan}, op)
def test_private_vlan_mode(self):
with Device(conn=self.conn, auth=self.auth) as dev:
output = dev.interface.private_vlan_mode(name=self.int_name,
int_type=self.int_type,
mode='trunk_promiscuous')
output = dev.interface.private_vlan_mode(name=self.int_name,
int_type=self.int_type,
get=True)
self.assertEqual(output, 'trunk_promiscuous')
output = dev.interface.private_vlan_mode(name=self.int_name,
int_type=self.int_type,
mode='host')
output = dev.interface.private_vlan_mode(name=self.int_name,
int_type=self.int_type,
get=True)
self.assertEqual(output, 'host')
def test_pvlan_host_association(self):
with Device(conn=self.conn, auth=self.auth) as dev:
output = dev.interface.private_vlan_type(name=self.pvlan,
pvlan_type='primary')
output = dev.interface.private_vlan_type(name=self.svlan,
pvlan_type='isolated')
output = dev.interface.vlan_pvlan_association_add(
name=self.pvlan, sec_vlan=self.svlan)
output = dev.interface.private_vlan_mode(name=self.int_name,
int_type=self.int_type,
mode='host')
output = dev.interface.pvlan_host_association(
int_type=self.int_type,
name=self.int_name,
pri_vlan=self.pvlan,
sec_vlan=self.svlan)
output = dev.interface.pvlan_host_association(
int_type=self.int_type, name=self.int_name, get=True)
self.assertEqual(output, (self.pvlan, self.svlan))
def tearDown(self):
with Device(conn=self.conn, auth=self.auth) as dev:
dev.interface.del_vlan_int(vlan_id=self.pvlan)
dev.interface.del_vlan_int(vlan_id=self.svlan)
dev.interface.switchport(name=self.int_name,
int_type=self.int_type,
enabled=False)
| 45.429577
| 78
| 0.539296
| 692
| 6,451
| 4.780347
| 0.104046
| 0.063482
| 0.049879
| 0.063482
| 0.753325
| 0.724607
| 0.717654
| 0.717654
| 0.669287
| 0.654776
| 0
| 0.000496
| 0.374981
| 6,451
| 141
| 79
| 45.751773
| 0.81994
| 0
| 0
| 0.563025
| 0
| 0
| 0.028368
| 0.004805
| 0
| 0
| 0
| 0
| 0.058824
| 1
| 0.067227
| false
| 0.008403
| 0.042017
| 0
| 0.117647
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
be22f93978cf615c6732583d8b01a5ee03fc80f5
| 138
|
py
|
Python
|
terrascript/data/AdrienneCohea/nomadutility.py
|
mjuenema/python-terrascript
|
6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d
|
[
"BSD-2-Clause"
] | 507
|
2017-07-26T02:58:38.000Z
|
2022-01-21T12:35:13.000Z
|
terrascript/data/AdrienneCohea/nomadutility.py
|
mjuenema/python-terrascript
|
6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d
|
[
"BSD-2-Clause"
] | 135
|
2017-07-20T12:01:59.000Z
|
2021-10-04T22:25:40.000Z
|
terrascript/data/AdrienneCohea/nomadutility.py
|
mjuenema/python-terrascript
|
6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d
|
[
"BSD-2-Clause"
] | 81
|
2018-02-20T17:55:28.000Z
|
2022-01-31T07:08:40.000Z
|
# terrascript/data/AdrienneCohea/nomadutility.py
# Automatically generated by tools/makecode.py (24-Sep-2021 15:22:45 UTC)
__all__ = []
| 23
| 73
| 0.768116
| 19
| 138
| 5.368421
| 0.947368
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.097561
| 0.108696
| 138
| 5
| 74
| 27.6
| 0.731707
| 0.855072
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
07746c04832a5e2c1ea27d089f9e3d41fb0d143d
| 252
|
py
|
Python
|
ambry/database/postgis.py
|
kball/ambry
|
ae865245128b92693d654fbdbb3efc9ef29e9745
|
[
"BSD-2-Clause"
] | 1
|
2017-06-14T13:40:57.000Z
|
2017-06-14T13:40:57.000Z
|
ambry/database/postgis.py
|
kball/ambry
|
ae865245128b92693d654fbdbb3efc9ef29e9745
|
[
"BSD-2-Clause"
] | null | null | null |
ambry/database/postgis.py
|
kball/ambry
|
ae865245128b92693d654fbdbb3efc9ef29e9745
|
[
"BSD-2-Clause"
] | null | null | null |
"""
Copyright (c) 2013 Clarinova. This file is licensed under the terms of the
Revised BSD License, included in this distribution as LICENSE.txt
"""
from postgres import PostgresDatabase
class PostgisDatabase(PostgresDatabase):
pass
| 25.2
| 74
| 0.746032
| 31
| 252
| 6.064516
| 0.870968
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.019802
| 0.198413
| 252
| 10
| 75
| 25.2
| 0.910891
| 0.555556
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.333333
| 0.333333
| 0
| 0.666667
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 4
|
07b4e778789236da8df522c4e12bf4b824e79c36
| 172
|
py
|
Python
|
src/courses/tests/conftest.py
|
iNerV/education-backend
|
787c0d090eb6e4a9338812941b0246a6e1b8e7ad
|
[
"MIT"
] | null | null | null |
src/courses/tests/conftest.py
|
iNerV/education-backend
|
787c0d090eb6e4a9338812941b0246a6e1b8e7ad
|
[
"MIT"
] | null | null | null |
src/courses/tests/conftest.py
|
iNerV/education-backend
|
787c0d090eb6e4a9338812941b0246a6e1b8e7ad
|
[
"MIT"
] | null | null | null |
import pytest
pytestmark = [pytest.mark.django_db]
@pytest.fixture
def testcode(mixer):
return mixer.blend('orders.PromoCode', name='TESTCODE', discount_percent=10)
| 19.111111
| 80
| 0.761628
| 22
| 172
| 5.863636
| 0.818182
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.013072
| 0.110465
| 172
| 8
| 81
| 21.5
| 0.830065
| 0
| 0
| 0
| 0
| 0
| 0.139535
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.2
| 0.2
| 0.6
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
5800b61db37b0d2aa2dfb35888bb0b08a5a5e12f
| 1,678
|
py
|
Python
|
tests/models/MLR_test.py
|
mOmUcf/DeepCTR
|
176c61cb4e6a147fae463c143a3e1cd4c04598ed
|
[
"MIT"
] | 1
|
2020-07-08T05:37:59.000Z
|
2020-07-08T05:37:59.000Z
|
tests/models/MLR_test.py
|
linxid/DeepCTR
|
1404f0d27396a6e5061c41d7ee3099f8a23ea6e8
|
[
"MIT"
] | null | null | null |
tests/models/MLR_test.py
|
linxid/DeepCTR
|
1404f0d27396a6e5061c41d7ee3099f8a23ea6e8
|
[
"MIT"
] | null | null | null |
import pytest
from deepctr.models import MLR
from ..utils import check_model, SAMPLE_SIZE,get_test_data
@pytest.mark.parametrize(
'region_sparse,region_dense,base_sparse,base_dense,bias_sparse,bias_dense',
[(0, 2, 0, 2, 0, 1), (0, 2, 0, 1, 0, 2), (0, 2, 0, 0, 1, 0),
(0, 1, 1, 2, 1, 1,), (0, 1, 1, 1, 1, 2), (0, 1, 1, 0, 2, 0),
(1, 0, 2, 2, 2, 1), (2, 0, 2, 1, 2, 2), (2, 0, 2, 0, 0, 0)
]
)
def test_MLRs(region_sparse, region_dense, base_sparse, base_dense, bias_sparse, bias_dense):
model_name = "MLRs"
region_x,y,region_feature_columns = get_test_data(SAMPLE_SIZE,region_sparse,region_dense,prefix='region')
base_x, y, base_feature_columns = get_test_data(SAMPLE_SIZE, region_sparse, region_dense, prefix='base')
bias_x, y, bias_feature_columns = get_test_data(SAMPLE_SIZE, region_sparse, region_dense, prefix='bias')
model = MLR(region_feature_columns, base_feature_columns, bias_feature_columns=bias_feature_columns)
model.compile('adam', 'binary_crossentropy',
metrics=['binary_crossentropy'])
print(model_name + " test pass!")
def test_MLR():
model_name = "MLR"
region_x,y,region_feature_columns = get_test_data(SAMPLE_SIZE,3,3,prefix='region')
base_x, y, base_feature_columns = get_test_data(SAMPLE_SIZE, 3, 3, prefix='base')
bias_x, y, bias_feature_columns = get_test_data(SAMPLE_SIZE, 3, 3, prefix='bias')
model = MLR(region_feature_columns)
model.compile('adam', 'binary_crossentropy',
metrics=['binary_crossentropy'])
check_model(model,model_name,region_x,y)
print(model_name + " test pass!")
if __name__ == "__main__":
pass
| 33.56
| 109
| 0.685936
| 263
| 1,678
| 4.038023
| 0.159696
| 0.145009
| 0.072505
| 0.118644
| 0.786252
| 0.701507
| 0.701507
| 0.637476
| 0.637476
| 0.637476
| 0
| 0.043321
| 0.174613
| 1,678
| 49
| 110
| 34.244898
| 0.723466
| 0
| 0
| 0.193548
| 0
| 0
| 0.131783
| 0.042934
| 0
| 0
| 0
| 0
| 0
| 1
| 0.064516
| false
| 0.096774
| 0.096774
| 0
| 0.16129
| 0.064516
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
6afc5803888f5c0785480189b650377ad4be9838
| 22,234
|
py
|
Python
|
rest/spot_db.py
|
vigorIv2/spot
|
55e3a5a0b99fe959e95d7225a3bada857752e9fa
|
[
"MIT"
] | 1
|
2021-05-03T18:35:30.000Z
|
2021-05-03T18:35:30.000Z
|
rest/spot_db.py
|
vigorIv2/spot
|
55e3a5a0b99fe959e95d7225a3bada857752e9fa
|
[
"MIT"
] | 1
|
2022-02-16T00:55:15.000Z
|
2022-02-16T00:55:15.000Z
|
rest/spot_db.py
|
vigorIv2/spot
|
55e3a5a0b99fe959e95d7225a3bada857752e9fa
|
[
"MIT"
] | null | null | null |
#!flask/bin/python
import time
import traceback
import datetime
# import json
import psycopg2
from psycopg2.pool import SimpleConnectionPool
import logging, logging.config, yaml
logging.config.dictConfig(yaml.load(open('logging.conf')))
logfl = logging.getLogger('file')
logconsole = logging.getLogger('console')
logfl.debug("Debug FILE")
logconsole.debug("Debug CONSOLE")
def initPool():
global g_pool
cs = "postgresql://huhuladb00:26257/huhula?user=huhulaman&sslcert=/home/ubuntu/spot/certs/client.huhulaman.crt&sslkey=/home/ubuntu/spot/certs/client.huhulaman.key&sslmode=require&ssl=true"
g_pool = SimpleConnectionPool(1, 9, cs)
# con = g_pool.getconn()
# con.set_session(autocommit=True)
# g_pool.putconn(con)
initPool()
def openConnoldStyle():
global conn
global cur
# conn = psycopg2.connect(database="huhula", user="root", host="huhuladb00", port=26257)
# secure way :
cs = "postgresql://huhuladb00:26257/huhula?user=huhulaman&sslcert=/home/ubuntu/spot/certs/client.huhulaman.crt&sslkey=/home/ubuntu/spot/certs/client.huhulaman.key&sslmode=require&ssl=true"
conn = psycopg2.connect(cs)
conn.set_session(autocommit=True)
cur = conn.cursor()
def getInformedSpots(uid,dfrom,dto) :
lconn = g_pool.getconn()
cur = lconn.cursor()
try:
cur.execute("""select sum(orig_quantity) as qty, informer_id as uid, min(inserted_at) as mnat, max(inserted_at) as mxat, count(*) as cnt
from spots
where informer_id = '%s' and inserted_at between '%s' and '%s'
group by informer_id;""" % (uid,dfrom,dto))
row=cur.fetchone()
if row:
return row
else:
return None
finally:
cur.close()
lconn.commit()
g_pool.putconn(lconn)
def getOccupiedSpots(uid,dfrom,dto) :
lconn = g_pool.getconn()
cur = lconn.cursor()
try:
cur.execute("""select count(*) as qty, taker_id as uid, min(inserted_at) as mnat, max(inserted_at) as mxat
from occupy
where taker_id = '%s' and inserted_at between '%s' and '%s'
group by taker_id;""" % (uid,dfrom,dto))
row=cur.fetchone()
if row:
return row
else:
return None
finally:
cur.close()
lconn.commit()
g_pool.putconn(lconn)
def getUserProperties(uid) :
lconn = g_pool.getconn()
cur = lconn.cursor()
try:
cur.execute("SELECT roles FROM users WHERE id = '%s'" % (uid,))
row=cur.fetchone()
if row:
return row
else:
return None
finally:
cur.close()
lconn.commit()
g_pool.putconn(lconn)
def getUserBalance(user) :
lconn = g_pool.getconn()
cur = lconn.cursor()
try:
cur.execute("SELECT id,balance FROM users WHERE userhash = '%s'" % (user,))
row=cur.fetchone()
if row == None:
return None
informer_id = row[0]
balance = str(row[1])
cur.execute("select sum(informed_qty) as iqty, sum(occupied_qty) as octy, sum(gift) as gift, sum(penalty) as penalty, sum(balance) as balance from huhula.bill_payable where user_id = '%s'" % (informer_id,))
row2=cur.fetchone()
if row2:
return (balance,str(row2[0]),str(row2[1]),str(row2[2]),str(row2[3]),str(row2[4]))
else:
return None
finally:
cur.close()
lconn.commit()
g_pool.putconn(lconn)
def cleanUp(users) :
for u in users:
informer_id=getUserID(u)
if informer_id != None:
logconsole.info("Cleaning up derivatives for user "+str(u)+" uid="+str(informer_id))
lconn = g_pool.getconn()
lconn.set_session(autocommit=True)
cur = lconn.cursor()
try:
cur.execute("delete FROM link WHERE referral_id = (select id from referral where sender_id = '%s')" % (informer_id,))
cur.execute("delete FROM referral where sender_id = '%s'" % (informer_id,))
cur.execute("delete FROM occupy WHERE taker_id = '%s'" % (informer_id,))
cur.execute("delete FROM parked WHERE informer_id = '%s'" % (informer_id,))
cur.execute("delete FROM bill WHERE user_id = '%s'" % (informer_id,))
cur.execute("delete FROM reference WHERE sender_id = '%s'" % (informer_id,))
finally:
cur.close()
g_pool.putconn(lconn)
for u in users:
informer_id=getUserID(u)
if informer_id != None:
logconsole.info("Cleaning up root recs for user "+str(u)+" uid="+str(informer_id))
lconn = g_pool.getconn()
lconn.set_session(autocommit=True)
cur = lconn.cursor()
try:
cur.execute("delete FROM spots WHERE informer_id = '%s'" % (informer_id,))
cur.execute("delete FROM users WHERE userhash = '%s'" % (u,))
finally:
cur.close()
g_pool.putconn(lconn)
def getUserID(user) :
lconn = g_pool.getconn()
cur = lconn.cursor()
cur.execute("SELECT id FROM users WHERE userhash = '%s'" % (user,))
row = cur.fetchone()
try:
if row:
return row[0]
else:
return None
finally:
cur.close()
lconn.commit()
g_pool.putconn(lconn)
def countReferrals(user) :
sender_id=getUserID(user)
if sender_id == None:
return None
lconn = g_pool.getconn()
cur = lconn.cursor()
cur.execute("select count(*) from huhula.referral r inner join huhula.link l on (l.referral_id = r.id) where r.sender_id = '%s' and not l.updated_at is null " % (sender_id,))
row = cur.fetchone()
try:
if row:
return row[0]
else:
return 0
finally:
cur.close()
lconn.commit()
g_pool.putconn(lconn)
def newReferral(user,non_members) :
sender_id=getUserID(user)
if sender_id == None:
return None
lconn = g_pool.getconn()
cur = lconn.cursor()
try:
cur.execute("INSERT INTO referral(sender_id) values(%s) RETURNING id;", (sender_id,))
reference=cur.fetchone()[0]
for to_hash in non_members:
cur.execute("INSERT INTO link(referral_id,to_hash) values(%s,%s);", (reference,to_hash,))
return reference
except Exception as error:
jts = traceback.format_exc()
logconsole.error(jts)
lconn.rollback()
return None
finally:
cur.close()
lconn.commit()
g_pool.putconn(lconn)
return None
def closeReferral(referral_id,user_hash) :
lconn = g_pool.getconn()
cur = lconn.cursor()
try:
cur.execute("update link set updated_at=now() where referral_id=%s and to_hash=%s and updated_at is null ", (referral_id,user_hash,))
rc = cur.rowcount
sender_id = getReferralSender(referral_id)
return (rc, sender_id)
except Exception as error:
jts = traceback.format_exc()
logconsole.error(jts)
lconn.rollback()
return None
finally:
cur.close()
lconn.commit()
g_pool.putconn(lconn)
return None
def getReferralSender(referral_id) :
lconn = g_pool.getconn()
cur = lconn.cursor()
cur.execute("select distinct sender_id from referral where id = '%s' " % (referral_id,))
row = cur.fetchone()
try:
if row:
return row[0]
else:
return None
finally:
cur.close()
lconn.commit()
g_pool.putconn(lconn)
def getReferral(userhash) :
lconn = g_pool.getconn()
cur = lconn.cursor()
cur.execute("SELECT referral_id FROM link WHERE to_hash = '%s'" % (userhash,))
row = cur.fetchone()
try:
if row:
return row[0]
else:
return None
finally:
cur.close()
lconn.commit()
g_pool.putconn(lconn)
def newReference(user) :
sender_id=getUserID(user)
if sender_id == None:
return None
lconn = g_pool.getconn()
cur = lconn.cursor()
try:
cur.execute("INSERT INTO reference(sender_id) values(%s) RETURNING id;", (sender_id,))
reference=cur.fetchone()[0]
return reference
finally:
cur.close()
lconn.commit()
g_pool.putconn(lconn)
return None
def closeReferrence(ref, receiver_id) :
lconn = g_pool.getconn()
cur = lconn.cursor()
try:
cur.execute("update reference set receiver_id=%s, updated_at=now() where receiver_id is null and id=%s", (receiver_id,ref,))
if cur.rowcount == 0:
return 404
except Exception as error:
jts = traceback.format_exc()
logconsole.error(jts)
lconn.rollback()
return 404
finally:
cur.close()
lconn.commit()
g_pool.putconn(lconn)
return 0
def getSenderId(ref) :
lconn = g_pool.getconn()
cur = lconn.cursor()
cur.execute("SELECT sender_id FROM reference WHERE receiver_id is null and id = '%s'" % (ref,))
row = cur.fetchone()
try:
if row:
return row[0]
else:
return None
finally:
cur.close()
lconn.commit()
g_pool.putconn(lconn)
def checkSameSpot(informer_id,spot,lat,lon) :
selsql = """select count(*) as cnt
from huhula.spots
where quantity > 0
and informer_id = '%s'
and array_position(direction,%s) is not null
and round(longitude,4) = round(%s,4)
and round(latitude,4) = round(%s,4)
""" % (informer_id, spot, lon, lat,)
logconsole.debug("SQL:" + selsql)
lconn = g_pool.getconn()
cur = lconn.cursor()
try:
cur.execute(selsql)
row=cur.fetchone()
if row:
return row[0]
else:
return None
finally:
cur.close()
lconn.commit()
g_pool.putconn(lconn)
def locateSpot(latitude0,longitude0) :
selsql = """select id, spot, substring(cast(age as string),1,16) as age, sqrt(df*df + dl*dl) * 6371e3 as dist, latitude, longitude from (
select sp.id, direction[1] as spot, sp.inserted_at as age,
(longitude*pi()/180 - %s*pi()/180) * cos((latitude*pi()/180 + %s*pi()/180)/2) as dl,
(latitude*pi()/180 - %s*pi()/180) as df, latitude, longitude from huhula.spots as sp
where quantity > 0 -- and age(sp.inserted_at) < INTERVAL '2d2h1m1s1ms1us6ns'
order by age(sp.inserted_at)
) where sqrt(df*df + dl*dl) * 6371e3 < 300
order by sqrt(df*df + dl*dl) * 6371e3, age desc
limit 30""" % (longitude0,latitude0,latitude0,)
logconsole.debug("SQL:" + selsql)
lconn = g_pool.getconn()
cur = lconn.cursor()
try:
cur.execute(selsql)
row=cur.fetchall()
if row:
return row
else:
return None
finally:
cur.close()
lconn.commit()
g_pool.putconn(lconn)
def getReportedSpots(rid,hd) :
if '-' in rid:
informer_id=rid
else:
informer_id=getUserID(rid)
if informer_id == None:
return 404
selsql = "select longitude, latitude from huhula.spots as sp where sp.informer_id = '%s' and age(sp.inserted_at) < INTERVAL '%sh'" % (informer_id,hd,)
logconsole.debug("SQL:" + selsql)
lconn = g_pool.getconn()
cur = lconn.cursor()
try:
cur.execute(selsql)
rows=cur.fetchall()
if rows:
return rows
else:
return None
finally:
cur.close()
lconn.commit()
g_pool.putconn(lconn)
def getParkedSpots(rid,hd) :
if rid.isnumeric():
informer_id=getUserID(rid)
else:
informer_id=rid
if informer_id == None:
return 404
selsql = "select longitude, latitude from huhula.parked as sp where sp.informer_id = '%s' and age(sp.inserted_at) < INTERVAL '%sh'" % (informer_id,hd,)
logconsole.debug("SQL:" + selsql)
lconn = g_pool.getconn()
cur = lconn.cursor()
try:
cur.execute(selsql)
rows=cur.fetchall()
if rows:
return rows
else:
return None
finally:
cur.close()
lconn.commit()
g_pool.putconn(lconn)
def getNearSpots(lt,lg,hd) :
selsql = """select longitude, latitude from (
select sp.id, age(sp.inserted_at) as age,
(longitude*pi()/180 - %s*pi()/180) * cos((latitude*pi()/180 + %s*pi()/180)/2) as dl,
(latitude*pi()/180 - %s*pi()/180) as df, latitude, longitude from huhula.spots as sp
where quantity > 0 and age(sp.inserted_at) < INTERVAL '%sh'
order by age(sp.inserted_at)
) where sqrt(df*df + dl*dl) * 6371e3 < 2000
order by sqrt(df*df + dl*dl) * 6371e3, age
limit 1000""" % (lg,lt,lt,hd,)
logconsole.debug("SQL:" + selsql)
lconn = g_pool.getconn()
cur = lconn.cursor()
try:
cur.execute(selsql)
rows=cur.fetchall()
if rows:
return rows
else:
return None
finally:
cur.close()
lconn.commit()
g_pool.putconn(lconn)
def getAllNearSpots(lt,lg,hd) :
selsql = """select longitude, latitude from (
select sp.id, age(sp.inserted_at) as age,
(longitude*pi()/180 - %s*pi()/180) * cos((latitude*pi()/180 + %s*pi()/180)/2) as dl,
(latitude*pi()/180 - %s*pi()/180) as df, latitude, longitude from huhula.spots as sp
where age(sp.inserted_at) < INTERVAL '%sh'
order by age(sp.inserted_at)
) where sqrt(df*df + dl*dl) * 6371e3 < 20000
order by sqrt(df*df + dl*dl) * 6371e3, age
""" % (lg,lt,lt,hd,)
logconsole.debug("SQL:" + selsql)
lconn = g_pool.getconn()
cur = lconn.cursor()
try:
cur.execute(selsql)
rows=cur.fetchall()
if rows:
return rows
else:
return None
finally:
cur.close()
lconn.commit()
g_pool.putconn(lconn)
def getSpotClusters(hd) :
selsql = """select count(*), cast(max(s.inserted_at) as date),
round(longitude,2) as lg, round(latitude,2) as lt
from huhula.spots s where age(s.inserted_at) < INTERVAL '%sh'
group by round(longitude,2), round(latitude,2)
order by round(longitude,2) limit 5000""" % (hd,)
logconsole.debug("SQL:" + selsql)
lconn = g_pool.getconn()
cur = lconn.cursor()
try:
cur.execute(selsql)
rows=cur.fetchall()
if rows:
return rows
else:
return None
finally:
cur.close()
lconn.commit()
g_pool.putconn(lconn)
def revokeRole(user,role) :
lconn = g_pool.getconn()
cur = lconn.cursor()
try:
cur.execute("update huhula.users set roles=array_remove(roles,%s) where userhash=%s",(role,user,))
lconn.commit()
except Exception as error:
jts = traceback.format_exc()
logconsole.error(jts)
lconn.rollback()
finally:
cur.close()
g_pool.putconn(lconn)
def newUser(user) :
lconn = g_pool.getconn()
cur = lconn.cursor()
try:
cur.execute("INSERT INTO huhula.users(userhash,roles) values(%s,array['promoter'])",(user,))
lconn.commit()
except Exception as error:
jts = traceback.format_exc()
logconsole.error(jts)
lconn.rollback()
finally:
cur.close()
g_pool.putconn(lconn)
def insertParked(informer,informed_at,azimuth,altitude,longitude,latitude,client_at) :
informer_id=getUserID(informer)
if ( informer_id is None ) :
return 404
lconn = g_pool.getconn()
cur = lconn.cursor()
try:
cur.execute("INSERT INTO huhula.parked(informer_id,informed_at,azimuth,altitude,longitude,latitude,client_at) values(%s,%s,%s,%s,%s,%s,%s)",
(informer_id,informed_at,azimuth,altitude,longitude,latitude,client_at))
lconn.commit()
except Exception as error:
jts = traceback.format_exc()
logconsole.error(jts)
lconn.rollback()
finally:
cur.close()
g_pool.putconn(lconn)
return 0
def last_day_of_month(any_day):
next_month = any_day.replace(day=28) + datetime.timedelta(days=4) # this will never fail
result = next_month - datetime.timedelta(days=next_month.day)
return str(result)
def upsertBill(pconn, user_id, for_date, informed_qty_delta, occupied_qty_delta) :
cur = pconn.cursor()
try:
# first attempt to update, if it yeilds zero affected rows that meants it needs to be inserted
usql = "update huhula.bill set updated_at=now(), informed_qty=informed_qty+%s, occupied_qty=occupied_qty+%s where user_id='%s' and for_date=cast('%s' as date)" % (informed_qty_delta, occupied_qty_delta, user_id, for_date)
logconsole.debug("update bill sql:" + usql)
cur.execute(usql)
if cur.rowcount == 0:
isql = "INSERT INTO huhula.bill(user_id, for_date, informed_qty, occupied_qty) values('%s',cast('%s' as date),%s,%s)" % (user_id, for_date, informed_qty_delta, occupied_qty_delta)
logconsole.debug("insert bill sql:" + isql)
cur.execute(isql)
except Exception as error:
jts = traceback.format_exc()
logconsole.error(jts)
raise Exception('Exception while update bill', 'Bill Update Error')
finally:
cur.close()
def giftBill(user_id, for_date, amount=0) :
lconn = g_pool.getconn()
cur = lconn.cursor()
try:
# first attempt to update, if it yeilds zero affected rows that meants it needs to be inserted
usql = "update huhula.bill set updated_at=now(), gift=gift+%s where user_id='%s' and for_date=cast('%s' as date)" % (amount, user_id, for_date)
logconsole.debug("update bill gift sql:" + usql)
cur.execute(usql)
if cur.rowcount == 0:
isql = "INSERT INTO huhula.bill(user_id, for_date, gift) values('%s',cast('%s' as date),%s)" % (user_id, for_date, amount)
logconsole.debug("insert bill sql:" + isql)
cur.execute(isql)
lconn.commit()
except Exception as error:
jts = traceback.format_exc()
logconsole.error(jts)
lconn.rollback()
raise Exception('Exception while update bill gift ', 'Bill Update Error')
finally:
cur.close()
g_pool.putconn(lconn)
def insertSpot(informer,informed_at,azimuth,altitude,longitude,latitude,spots,client_at,mode,qty) :
informer_id=getUserID(informer)
if ( informer_id is None ) :
return 404
# newUser(informer)
# informer_id=getUserID(informer)
sameSpot = checkSameSpot(informer_id,spots[0],latitude,longitude)
lconn = g_pool.getconn()
cur = lconn.cursor()
try:
if (sameSpot is None) or (sameSpot == 0) :
cur.execute("INSERT INTO huhula.spots(informer_id,informed_at,azimuth,altitude,longitude,latitude,direction,quantity,orig_quantity,client_at,mode) values(%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)",
(informer_id,informed_at,azimuth,altitude,longitude,latitude,spots,qty,qty,client_at,mode))
upsertBill(lconn,informer_id, last_day_of_month(datetime.datetime.fromtimestamp(informed_at/1000.0)), qty, 0)
lconn.commit()
return 0
else :
return 409
except Exception as error:
jts = traceback.format_exc()
logconsole.error(jts)
lconn.rollback()
finally:
cur.close()
g_pool.putconn(lconn)
def bulkInsertSpot(informer_id,longitude,latitude,qty) :
lconn = g_pool.getconn()
cur = lconn.cursor()
try:
cur.execute("INSERT INTO huhula.spots(informer_id,informed_at,azimuth,altitude,longitude,latitude,direction,quantity,orig_quantity,client_at,mode) values(%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)",
(informer_id,int(round(time.time() * 1000)),0,0.156,longitude,latitude,[-3],qty,qty,int(round(time.time() * 1000)),2))
lconn.commit()
return 0
except Exception as error:
jts = traceback.format_exc()
logconsole.error(jts)
lconn.rollback()
finally:
cur.close()
g_pool.putconn(lconn)
def getInformerID(sid) :
lconn = g_pool.getconn()
cur = lconn.cursor()
cur.execute("SELECT informer_id FROM spots WHERE id = '%s' and quantity > 0" % (sid,))
row = cur.fetchone()
try:
if row:
return row[0]
else:
return None
finally:
cur.close()
lconn.commit()
g_pool.putconn(lconn)
def occupySpot(taker,sid,taken_at,client_at) :
taker_id=getUserID(taker)
if ( taker_id is None ) :
return 404
lconn = g_pool.getconn()
cur = lconn.cursor()
try:
informer_id = getInformerID(sid)
if informer_id != None:
cur.execute("update huhula.spots set quantity=quantity-1 where id=%s and quantity > 0", (sid,))
if cur.rowcount > 0:
cur.execute("INSERT INTO huhula.occupy(spot_id, taken_at, taker_id, client_at) values(%s,now(),%s,%s)", (sid, taker_id, client_at))
upsertBill(lconn,informer_id, last_day_of_month(datetime.datetime.fromtimestamp(taken_at/1000.0)), 1, 0) # transfer one token from taker to informer
upsertBill(lconn,taker_id, last_day_of_month(datetime.datetime.fromtimestamp(taken_at/1000.0)), 0, 1)
lconn.commit()
else:
return 404
else:
return 404
except Exception as error:
jts = traceback.format_exc()
logconsole.error(jts)
lconn.rollback()
finally:
cur.close()
g_pool.putconn(lconn)
return 0
| 33.996942
| 226
| 0.592246
| 2,822
| 22,234
| 4.561658
| 0.105245
| 0.024858
| 0.028898
| 0.039618
| 0.717859
| 0.70776
| 0.684378
| 0.666434
| 0.636215
| 0.617261
| 0
| 0.017374
| 0.285509
| 22,234
| 653
| 227
| 34.049005
| 0.792962
| 0.023163
| 0
| 0.73854
| 0
| 0.039049
| 0.290565
| 0.053672
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.010187
| null | null | 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
ed038430464535f1a51b180920d6b6692841c0c4
| 139
|
py
|
Python
|
code/10-12-pytest/day10.py
|
llamafarmer/100_days_of_code
|
6af973157aa4c77cd6f88bf1f0fa5e60a375339c
|
[
"MIT"
] | 1
|
2018-08-04T00:41:32.000Z
|
2018-08-04T00:41:32.000Z
|
code/10-12-pytest/day10.py
|
llamafarmer/100_days_of_code
|
6af973157aa4c77cd6f88bf1f0fa5e60a375339c
|
[
"MIT"
] | null | null | null |
code/10-12-pytest/day10.py
|
llamafarmer/100_days_of_code
|
6af973157aa4c77cd6f88bf1f0fa5e60a375339c
|
[
"MIT"
] | null | null | null |
## https://codechalleng.es/challenges/39/
## https://github.com/llamafarmer/Pi_Weather_Station
# Going to use the repo above with pytest
| 23.166667
| 52
| 0.76259
| 20
| 139
| 5.2
| 0.95
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.016129
| 0.107914
| 139
| 5
| 53
| 27.8
| 0.822581
| 0.920863
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
ed0dd2815fba30c28bc9ab56f525f21dd6b8ec5d
| 98
|
py
|
Python
|
279/armstrong.py
|
alehpineda/bitesofpy
|
bfd319a606cd0b7b9bfb85a3e8942872a2d43c48
|
[
"MIT"
] | null | null | null |
279/armstrong.py
|
alehpineda/bitesofpy
|
bfd319a606cd0b7b9bfb85a3e8942872a2d43c48
|
[
"MIT"
] | 2
|
2020-09-24T11:25:29.000Z
|
2021-06-25T15:43:35.000Z
|
279/armstrong.py
|
alehpineda/bitesofpy
|
bfd319a606cd0b7b9bfb85a3e8942872a2d43c48
|
[
"MIT"
] | null | null | null |
def is_armstrong(n: int) -> bool:
return sum([pow(int(x), len(str(n))) for x in str(n)]) == n
| 32.666667
| 63
| 0.581633
| 20
| 98
| 2.8
| 0.7
| 0.142857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.183673
| 98
| 2
| 64
| 49
| 0.7
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0.5
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 4
|
ed1ee39f1affe1e15d8a6768d028b542ae534f2d
| 177
|
py
|
Python
|
new/src/15.02.2020/string4.py
|
VladBaryliuk/my_start_tasks
|
bf387543e6fa3ee303cbef04d2af48d558011ed9
|
[
"Apache-2.0"
] | null | null | null |
new/src/15.02.2020/string4.py
|
VladBaryliuk/my_start_tasks
|
bf387543e6fa3ee303cbef04d2af48d558011ed9
|
[
"Apache-2.0"
] | null | null | null |
new/src/15.02.2020/string4.py
|
VladBaryliuk/my_start_tasks
|
bf387543e6fa3ee303cbef04d2af48d558011ed9
|
[
"Apache-2.0"
] | null | null | null |
string = str (input())
string_copy = string
new_string = string.replace(string[0],string[-1])
new_string = string_copy.replace(string_copy[-1],string_copy[0])
print(new_string)
| 29.5
| 64
| 0.762712
| 28
| 177
| 4.571429
| 0.321429
| 0.3125
| 0.234375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.02454
| 0.079096
| 177
| 5
| 65
| 35.4
| 0.760736
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.2
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
ed28e6d1e245395c490051af9d2bade0cb88ca07
| 55
|
py
|
Python
|
code/abc120_a_03.py
|
KoyanagiHitoshi/AtCoder
|
731892543769b5df15254e1f32b756190378d292
|
[
"MIT"
] | 3
|
2019-08-16T16:55:48.000Z
|
2021-04-11T10:21:40.000Z
|
code/abc120_a_03.py
|
KoyanagiHitoshi/AtCoder
|
731892543769b5df15254e1f32b756190378d292
|
[
"MIT"
] | null | null | null |
code/abc120_a_03.py
|
KoyanagiHitoshi/AtCoder
|
731892543769b5df15254e1f32b756190378d292
|
[
"MIT"
] | null | null | null |
A, B, C = map(int, input().split())
print(min(C, B//A))
| 27.5
| 35
| 0.545455
| 12
| 55
| 2.5
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.127273
| 55
| 2
| 36
| 27.5
| 0.625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0.5
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
ed2eacb53ae14f236d6e04dfd83126fd3f176438
| 270
|
py
|
Python
|
sample_test.py
|
thautwarm/reley
|
17e5730c1afbefaeb22103719c85f08333c65937
|
[
"MIT"
] | 12
|
2018-09-13T02:32:21.000Z
|
2021-08-06T04:59:26.000Z
|
sample_test.py
|
thautwarm/reley
|
17e5730c1afbefaeb22103719c85f08333c65937
|
[
"MIT"
] | null | null | null |
sample_test.py
|
thautwarm/reley
|
17e5730c1afbefaeb22103719c85f08333c65937
|
[
"MIT"
] | null | null | null |
from reley.impl.pycompat import *
import os
import haskell_test.comment
import haskell_test.import_hs
import haskell_test.operator
import haskell_test.sum_n
import haskell_test.test_prelude
from haskell_test.sum_n import m_sum
lst = (5, (2, (1, ())))
print(m_sum(lst))
| 22.5
| 36
| 0.803704
| 46
| 270
| 4.456522
| 0.434783
| 0.321951
| 0.414634
| 0.146341
| 0.204878
| 0
| 0
| 0
| 0
| 0
| 0
| 0.012397
| 0.103704
| 270
| 11
| 37
| 24.545455
| 0.834711
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.8
| 0
| 0.8
| 0.1
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
ed4cfb8739cd8629d093496054f0718bed5b3178
| 43
|
py
|
Python
|
somedjango/stubs/__init__.py
|
dvaldivia/grpc-celery-fork-bug
|
421eca43daef9e138d53e6f095cf470b98c14f99
|
[
"MIT"
] | null | null | null |
somedjango/stubs/__init__.py
|
dvaldivia/grpc-celery-fork-bug
|
421eca43daef9e138d53e6f095cf470b98c14f99
|
[
"MIT"
] | null | null | null |
somedjango/stubs/__init__.py
|
dvaldivia/grpc-celery-fork-bug
|
421eca43daef9e138d53e6f095cf470b98c14f99
|
[
"MIT"
] | 1
|
2019-03-14T04:09:43.000Z
|
2019-03-14T04:09:43.000Z
|
"""
Copyright (C) 2017 Espressive Inc
"""
| 8.6
| 33
| 0.627907
| 5
| 43
| 5.4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.114286
| 0.186047
| 43
| 4
| 34
| 10.75
| 0.657143
| 0.767442
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
ed60343c2b753a93c70bf1053df28bb98bf0ccd1
| 856
|
py
|
Python
|
src/groupspkg/rubik.py
|
MrCamoga/Finite-Groups-2
|
5e52102a423a8ff4eed0cbf59617b6fe999e7ef3
|
[
"MIT"
] | 2
|
2020-05-01T21:48:46.000Z
|
2021-07-15T13:54:37.000Z
|
src/groupspkg/rubik.py
|
MrCamoga/Finite-Groups-2
|
5e52102a423a8ff4eed0cbf59617b6fe999e7ef3
|
[
"MIT"
] | null | null | null |
src/groupspkg/rubik.py
|
MrCamoga/Finite-Groups-2
|
5e52102a423a8ff4eed0cbf59617b6fe999e7ef3
|
[
"MIT"
] | null | null | null |
#Rubik's Cube
from groups import GeneralizedSymmetric
from functools import reduce
def Rubik222():
"""
The elements operate in the usual order. Example: RUR'U' = G.op(R,U,R,R,R,U,U,U)
Returns G, (R,U,F,L,D,B)
"""
G = GeneralizedSymmetric(3,8)
return (G, (19106868, 38578680, 133254322, 105367583, 118098, 3212037))
def Rubik333():
"""
The elements operate in the usual order. Example: RUR'U' = G.op(R,U,R,R,R,U,U,U)
Returns G, (R,U,F,L,D,B,M,E,S,X,Y,Z)
"""
G = GeneralizedSymmetric(3,8)*GeneralizedSymmetric(2,12)
return (G, ((12260357905730210868, 47577203601977420280, 307133848437835100722, 137967831317727263, 19503969848658, 1232685858040989957, 93631695786114433920, 16383398063155200, 8613117329516824320, 361990033464047119142, 47583584714230479009, 316877050992623394868)))
| 37.217391
| 272
| 0.69743
| 110
| 856
| 5.427273
| 0.518182
| 0.020101
| 0.060302
| 0.067002
| 0.231156
| 0.231156
| 0.231156
| 0.231156
| 0.231156
| 0.231156
| 0
| 0.409027
| 0.171729
| 856
| 22
| 273
| 38.909091
| 0.433004
| 0.275701
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0
| 0.75
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
ed8ae8093d687b5f5cfcca5a0d9849252ab9f84d
| 10,563
|
py
|
Python
|
tests/test_pathbased_similarity.py
|
Germanet-sfs/germanetpy
|
806c38084a71ffe190438af968716ad06b7c813d
|
[
"Apache-2.0"
] | 5
|
2020-05-29T20:40:36.000Z
|
2022-01-06T13:34:42.000Z
|
tests/test_pathbased_similarity.py
|
Germanet-sfs/germanetpy
|
806c38084a71ffe190438af968716ad06b7c813d
|
[
"Apache-2.0"
] | 3
|
2021-01-28T15:46:27.000Z
|
2021-06-07T15:23:49.000Z
|
tests/test_pathbased_similarity.py
|
Germanet-sfs/germanetpy
|
806c38084a71ffe190438af968716ad06b7c813d
|
[
"Apache-2.0"
] | 1
|
2021-07-19T18:47:51.000Z
|
2021-07-19T18:47:51.000Z
|
from pathlib import Path
import sys
import logging
import pytest
from germanetpy.germanet import Germanet
import numpy as np
from lxml import etree as ET
from germanetpy.path_based_relatedness_measures import PathBasedRelatedness
from germanetpy.synset import WordCategory
logger = logging.getLogger('logging_test_semrel')
d = str(Path(__file__).parent.parent) + "/data"
try:
germanet_data = Germanet(d)
johannis_wurm = germanet_data.get_synset_by_id("s49774")
leber_trans = germanet_data.get_synset_by_id("s83979")
relatedness_nouns = PathBasedRelatedness(germanet=germanet_data, category=WordCategory.nomen, max_len=35,
max_depth=20, synset_pair=(johannis_wurm, leber_trans))
relatedness_verbs = PathBasedRelatedness(germanet=germanet_data, category=WordCategory.verben)
relatedness_adj = PathBasedRelatedness(germanet=germanet_data, category=WordCategory.adj)
except ET.ParseError:
message = ("Unable to load GermaNet data at {0} . Aborting...").format(d)
logger.error(message,
ET.ParseError)
sys.exit(0)
except IOError:
message = ("GermaNet data not found at {0} . Aborting...").format(d)
logger.error(message, IOError)
sys.exit(0)
unnormalized_path_len_nouns = [
('s49774', 's83979', 35),
('s49774', 's20560', 35),
('s49774', 's20561', 35),
('s49774', 's138670', 35),
('s9439', 's48837', 12),
('s39183', 's39496', 5)
]
unnormalized_path_len_adj = [
('s91', 's102579', 7),
('s5399', 's5427', 4),
('s95326', 's95987', 20),
('s95326', 's94396', 20),
('s94411', 's95987', 20),
('s94411', 's94396', 20)
]
unnormalized_path_len_verbs = [
('s58565', 's58578', 2),
('s57835', 's57328', 5),
('s106731', 's123246', 28),
('s106731', 's120154', 28),
('s106731', 's57534', 28),
('s106731', 's123240', 28),
('s119463', 's120154', 28),
('s119463', 's57534', 28),
('s119463', 's123240', 28),
('s119463', 's123246', 28)
]
normalized_path_len_nouns = [
('s46047', 's45380', 1.0, 0.88571),
('s46047', 's45380', 10.0, 8.8571),
('s49774', 's83979', 1.0, 0.0),
('s49774', 's49774', 1.0, 1.0),
('s49774', 's49774', 10.0, 10.0),
('s46683', 's46650', 10.0, 8.5714)
]
unnormalized_lch_nouns = [
('s46047', 's45380', 0.92428),
('s49774', 's49774', 1.62325),
('s46683', 's46650', 0.84509),
]
normalized_lch_nouns = [
('s46047', 's45380', 10.0, 5.50877),
('s49774', 's49774', 10.0, 10.0),
('s46683', 's46650', 10.0, 4.99999)
]
unnormalized_lch_verbs = [
('s57534', 's119463', 0.04275),
('s57534', 's57534', 1.50515),
]
normalized_lch_verbs = [
('s57534', 's119463', 10.0, 0.0),
('s57534', 's57534', 10.0, 10.0),
]
unnormalized_lch_adj = [
('s94396', 's94411', 0.020203),
('s94396', 's94396', 1.342423)
]
normalized_lch_adj = [
('s94396', 's94411', 10.0, 0.0),
('s94396', 's94396', 10.0, 10.0)
]
unnormalized_wup_nouns = [
('s46047', 's45380', 0.75),
('s49774', 's49774', 1.0),
('s46683', 's46650', 0.70588),
]
normalized_wup_nouns = [
('s46047', 's45380', 10.0, 7.5),
('s49774', 's49774', 10.0, 10.0),
('s46683', 's46650', 10.0, 7.0588)
]
unnormalized_wup_verbs = [
('s57534', 's119463', 0.0),
('s57534', 's57534', 1.0),
]
normalized_wup_verbs = [
('s57534', 's119463', 10.0, 0.0),
('s57534', 's57534', 10.0, 10.0),
]
unnormalized_wup_adj = [
('s94396', 's94411', 0.0),
('s94396', 's94396', 1.0)
]
normalized_wup_adj = [
('s94396', 's94411', 10.0, 0.0),
('s94396', 's94396', 10.0, 10.0)
]
@pytest.mark.parametrize('id1,id2,pathlength', unnormalized_path_len_nouns)
def test_pathlength_nouns(id1, id2, pathlength):
"""Tests whether the length of the shortest path between two given nouns is correct."""
synset1 = germanet_data.get_synset_by_id(id1)
synset2 = germanet_data.get_synset_by_id(id2)
dist = synset1.shortest_path_distance(synset2)
np.testing.assert_equal(dist, pathlength)
@pytest.mark.parametrize('id1,id2,pathlength', unnormalized_path_len_adj)
def test_pathlength_adj(id1, id2, pathlength):
"""Tests whether the length of the shortest path between two given adjectives is correct."""
synset1 = germanet_data.get_synset_by_id(id1)
synset2 = germanet_data.get_synset_by_id(id2)
dist = synset1.shortest_path_distance(synset2)
np.testing.assert_equal(dist, pathlength)
@pytest.mark.parametrize('id1,id2,pathlength', unnormalized_path_len_verbs)
def test_pathlength_verbs(id1, id2, pathlength):
"""Tests whether the length of the shortest path between two given verbs is correct."""
synset1 = germanet_data.get_synset_by_id(id1)
synset2 = germanet_data.get_synset_by_id(id2)
dist = synset1.shortest_path_distance(synset2)
np.testing.assert_equal(dist, pathlength)
# leacock and chodorow #
@pytest.mark.parametrize('id1,id2,similarity', unnormalized_lch_nouns)
def test_raw_lch_nouns(id1, id2, similarity):
"""Tests whether the unnormalized lch score for nouns is correct."""
synset1 = germanet_data.get_synset_by_id(id1)
synset2 = germanet_data.get_synset_by_id(id2)
sim = relatedness_nouns.leacock_chodorow(synset1=synset1, synset2=synset2, normalize=False)
np.testing.assert_almost_equal(sim, similarity, decimal=2)
@pytest.mark.parametrize('id1,id2,upper,similarity', normalized_lch_nouns)
def test_normalized_lch_nouns(id1, id2, upper, similarity):
"""Tests whether the normalized lch score for nouns is correct."""
synset1 = germanet_data.get_synset_by_id(id1)
synset2 = germanet_data.get_synset_by_id(id2)
sim = relatedness_nouns.leacock_chodorow(synset1=synset1, synset2=synset2, normalize=True, normalized_max=upper)
np.testing.assert_almost_equal(sim, similarity, decimal=2)
@pytest.mark.parametrize('id1,id2,similarity', unnormalized_lch_verbs)
def test_unnormalized_lch_verbs(id1, id2, similarity):
"""Tests whether the unnormalized lch score for verbs is correct."""
synset1 = germanet_data.get_synset_by_id(id1)
synset2 = germanet_data.get_synset_by_id(id2)
sim = relatedness_verbs.leacock_chodorow(synset1=synset1, synset2=synset2, normalize=False)
np.testing.assert_almost_equal(sim, similarity, decimal=2)
@pytest.mark.parametrize('id1,id2,upper,similarity', normalized_lch_verbs)
def test_normalized_lch_verbs(id1, id2, upper, similarity):
"""Tests whether the normalized lch score for verbs is correct."""
synset1 = germanet_data.get_synset_by_id(id1)
synset2 = germanet_data.get_synset_by_id(id2)
sim = relatedness_verbs.leacock_chodorow(synset1=synset1, synset2=synset2, normalize=True, normalized_max=upper)
np.testing.assert_almost_equal(sim, similarity, decimal=2)
@pytest.mark.parametrize('id1,id2,similarity', unnormalized_lch_adj)
def test_unnormalized_lch_adj(id1, id2, similarity):
"""Tests whether the unnormalized lch score for adjectives is correct."""
synset1 = germanet_data.get_synset_by_id(id1)
synset2 = germanet_data.get_synset_by_id(id2)
sim = relatedness_adj.leacock_chodorow(synset1=synset1, synset2=synset2, normalize=False)
np.testing.assert_almost_equal(sim, similarity, decimal=2)
@pytest.mark.parametrize('id1,id2,upper,similarity', normalized_lch_adj)
def test_normalized_lch_adj(id1, id2, upper, similarity):
"""Tests whether the normalized lch score for adjectives is correct."""
synset1 = germanet_data.get_synset_by_id(id1)
synset2 = germanet_data.get_synset_by_id(id2)
sim = relatedness_adj.leacock_chodorow(synset1=synset1, synset2=synset2, normalize=True, normalized_max=upper)
np.testing.assert_almost_equal(sim, similarity, decimal=2)
# wu and palmer #
@pytest.mark.parametrize('id1,id2,similarity', unnormalized_wup_nouns)
def test_raw_wup_nouns(id1, id2, similarity):
"""Tests whether the unnormalized wup score for nouns is correct."""
synset1 = germanet_data.get_synset_by_id(id1)
synset2 = germanet_data.get_synset_by_id(id2)
sim = relatedness_nouns.wu_and_palmer(synset1=synset1, synset2=synset2, normalize=False)
np.testing.assert_almost_equal(sim, similarity, decimal=2)
@pytest.mark.parametrize('id1,id2,upper,similarity', normalized_wup_nouns)
def test_normalized_wup_nouns(id1, id2, upper, similarity):
"""Tests whether the normalized wup score for nouns is correct."""
synset1 = germanet_data.get_synset_by_id(id1)
synset2 = germanet_data.get_synset_by_id(id2)
sim = relatedness_nouns.wu_and_palmer(synset1=synset1, synset2=synset2, normalize=True, normalized_max=upper)
np.testing.assert_almost_equal(sim, similarity, decimal=2)
@pytest.mark.parametrize('id1,id2,similarity', unnormalized_wup_verbs)
def test_unnormalized_wup_verbs(id1, id2, similarity):
"""Tests whether the unnormalized wup score for verbs is correct."""
synset1 = germanet_data.get_synset_by_id(id1)
synset2 = germanet_data.get_synset_by_id(id2)
sim = relatedness_verbs.wu_and_palmer(synset1=synset1, synset2=synset2, normalize=False)
np.testing.assert_almost_equal(sim, similarity, decimal=2)
@pytest.mark.parametrize('id1,id2,upper,similarity', normalized_wup_verbs)
def test_normalized_wup_verbs(id1, id2, upper, similarity):
"""Tests whether the normalized wup score for verbs is correct."""
synset1 = germanet_data.get_synset_by_id(id1)
synset2 = germanet_data.get_synset_by_id(id2)
sim = relatedness_verbs.wu_and_palmer(synset1=synset1, synset2=synset2, normalize=True, normalized_max=upper)
np.testing.assert_almost_equal(sim, similarity, decimal=2)
@pytest.mark.parametrize('id1,id2,similarity', unnormalized_wup_adj)
def test_unnormalized_wup_adj(id1, id2, similarity):
"""Tests whether the unnormalized wup score for adjectives is correct."""
synset1 = germanet_data.get_synset_by_id(id1)
synset2 = germanet_data.get_synset_by_id(id2)
sim = relatedness_adj.wu_and_palmer(synset1=synset1, synset2=synset2, normalize=False)
np.testing.assert_almost_equal(sim, similarity, decimal=2)
@pytest.mark.parametrize('id1,id2,upper,similarity', normalized_wup_adj)
def test_normalized_wup_adj(id1, id2, upper, similarity):
"""Tests whether the normalized wup score for adjectives is correct."""
synset1 = germanet_data.get_synset_by_id(id1)
synset2 = germanet_data.get_synset_by_id(id2)
sim = relatedness_adj.wu_and_palmer(synset1=synset1, synset2=synset2, normalize=True, normalized_max=upper)
np.testing.assert_almost_equal(sim, similarity, decimal=2)
| 37.996403
| 116
| 0.721954
| 1,423
| 10,563
| 5.126493
| 0.115952
| 0.062509
| 0.065798
| 0.092118
| 0.743386
| 0.737903
| 0.703907
| 0.703907
| 0.676217
| 0.664976
| 0
| 0.111037
| 0.143141
| 10,563
| 277
| 117
| 38.133574
| 0.694951
| 0.099498
| 0
| 0.296117
| 0
| 0
| 0.118851
| 0.015267
| 0
| 0
| 0
| 0
| 0.072816
| 1
| 0.072816
| false
| 0
| 0.043689
| 0
| 0.116505
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
71e81eb36705878470b3f0b6dd48e7b3a4232b86
| 183
|
py
|
Python
|
subsclu/pipe/reducers.py
|
StepicOrg/submissions-clustering
|
d61f4cd24ff165ed9b0cdde79d9dcd1ffae47387
|
[
"MIT"
] | 1
|
2017-11-20T02:28:07.000Z
|
2017-11-20T02:28:07.000Z
|
subsclu/pipe/reducers.py
|
StepicOrg/submissions-clustering
|
d61f4cd24ff165ed9b0cdde79d9dcd1ffae47387
|
[
"MIT"
] | 6
|
2017-08-22T10:34:26.000Z
|
2017-08-25T14:29:38.000Z
|
subsclu/pipe/reducers.py
|
StepicOrg/submissions-clustering
|
d61f4cd24ff165ed9b0cdde79d9dcd1ffae47387
|
[
"MIT"
] | null | null | null |
"""Module for implementing pipe ops for reducing."""
from sklearn.decomposition import PCA, TruncatedSVD
from sklearn.manifold import TSNE
__all__ = ["PCA", "TruncatedSVD", "TSNE"]
| 26.142857
| 52
| 0.759563
| 22
| 183
| 6.136364
| 0.681818
| 0.162963
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125683
| 183
| 6
| 53
| 30.5
| 0.84375
| 0.251366
| 0
| 0
| 0
| 0
| 0.145038
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
71e9f9e3b46f579ad69b22efab8f6620450dd37e
| 204
|
py
|
Python
|
definitions.py
|
robsfletch/bts
|
c03d821b048fdc2b2735fd77bd193443d40468fc
|
[
"MIT"
] | null | null | null |
definitions.py
|
robsfletch/bts
|
c03d821b048fdc2b2735fd77bd193443d40468fc
|
[
"MIT"
] | null | null | null |
definitions.py
|
robsfletch/bts
|
c03d821b048fdc2b2735fd77bd193443d40468fc
|
[
"MIT"
] | null | null | null |
import os
ROOT_DIR = os.path.dirname(os.path.abspath(__file__))
DATA = os.path.join(ROOT_DIR, 'data')
RAW_DATA = os.path.join(ROOT_DIR, 'data/raw')
INTERIM_DATA = os.path.join(ROOT_DIR, 'data/interim')
| 25.5
| 53
| 0.735294
| 36
| 204
| 3.888889
| 0.333333
| 0.214286
| 0.214286
| 0.3
| 0.578571
| 0.578571
| 0.578571
| 0.4
| 0
| 0
| 0
| 0
| 0.093137
| 204
| 7
| 54
| 29.142857
| 0.756757
| 0
| 0
| 0
| 0
| 0
| 0.117647
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.2
| 0
| 0.2
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
71f2a4e7fa6ef671c3a07724183edf2e759aec5e
| 14,294
|
py
|
Python
|
core/trainers/framework/network.py
|
fuyinno4/PaddleRec
|
fd66f18a5f5c216e1e3d3fc3c7c9166ea4b6c166
|
[
"Apache-2.0"
] | 3
|
2020-09-22T02:46:30.000Z
|
2021-06-17T06:43:37.000Z
|
core/trainers/framework/network.py
|
fuyinno4/PaddleRec
|
fd66f18a5f5c216e1e3d3fc3c7c9166ea4b6c166
|
[
"Apache-2.0"
] | null | null | null |
core/trainers/framework/network.py
|
fuyinno4/PaddleRec
|
fd66f18a5f5c216e1e3d3fc3c7c9166ea4b6c166
|
[
"Apache-2.0"
] | 1
|
2021-01-11T06:31:36.000Z
|
2021-01-11T06:31:36.000Z
|
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# 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.
from __future__ import print_function
import os
import warnings
import paddle.fluid as fluid
from paddlerec.core.utils import envs
from paddlerec.core.trainers.framework.dataset import DataLoader, QueueDataset
__all__ = [
"NetworkBase", "SingleNetwork", "PSNetwork", "PslibNetwork",
"CollectiveNetwork"
]
class NetworkBase(object):
"""R
"""
def __init__(self, context):
pass
def build_network(self, context):
pass
class SingleNetwork(NetworkBase):
"""R
"""
def __init__(self, context):
print("Running SingleNetwork.")
pass
def build_network(self, context):
context["model"] = {}
for model_dict in context["phases"]:
context["model"][model_dict["name"]] = {}
train_program = fluid.Program()
startup_program = fluid.Program()
scope = fluid.Scope()
dataset_name = model_dict["dataset_name"]
with fluid.program_guard(train_program, startup_program):
with fluid.unique_name.guard():
with fluid.scope_guard(scope):
model_path = envs.os_path_adapter(
envs.workspace_adapter(model_dict["model"]))
model = envs.lazy_instance_by_fliename(
model_path, "Model")(context["env"])
if context["is_infer"]:
model._infer_data_var = model.input_data(
is_infer=context["is_infer"],
dataset_name=model_dict["dataset_name"])
else:
model._data_var = model.input_data(
dataset_name=model_dict["dataset_name"])
if envs.get_global_env("dataset." + dataset_name +
".type") == "DataLoader":
model._init_dataloader(
is_infer=context["is_infer"])
data_loader = DataLoader(context)
data_loader.get_dataloader(context, dataset_name,
model._data_loader)
if context["is_infer"]:
model.net(model._infer_data_var,
context["is_infer"])
else:
model.net(model._data_var, context["is_infer"])
optimizer = model.optimizer()
optimizer.minimize(model._cost)
context["model"][model_dict["name"]][
"main_program"] = train_program
context["model"][model_dict["name"]][
"startup_program"] = startup_program
context["model"][model_dict["name"]]["scope"] = scope
context["model"][model_dict["name"]]["model"] = model
context["model"][model_dict["name"]][
"default_main_program"] = train_program.clone()
context["dataset"] = {}
for dataset in context["env"]["dataset"]:
type = envs.get_global_env("dataset." + dataset["name"] + ".type")
if type != "DataLoader":
dataset_class = QueueDataset(context)
context["dataset"][dataset[
"name"]] = dataset_class.create_dataset(dataset["name"],
context)
context["status"] = "startup_pass"
class PSNetwork(NetworkBase):
def __init__(self, context):
print("Running PSNetwork.")
pass
def build_network(self, context):
context["model"] = {}
if len(context["env"]["phase"]) > 1:
warnings.warn(
"Cluster Train Only Support One Phase.",
category=UserWarning,
stacklevel=2)
model_dict = context["env"]["phase"][0]
context["model"][model_dict["name"]] = {}
dataset_name = model_dict["dataset_name"]
model_path = envs.os_path_adapter(
envs.workspace_adapter(model_dict["model"]))
model = envs.lazy_instance_by_fliename(model_path,
"Model")(context["env"])
model._data_var = model.input_data(
dataset_name=model_dict["dataset_name"])
if envs.get_global_env("dataset." + dataset_name +
".type") == "DataLoader":
model._init_dataloader(is_infer=False)
data_loader = DataLoader(context)
data_loader.get_dataloader(context, dataset_name,
model._data_loader)
model.net(model._data_var, False)
optimizer = model.optimizer()
strategy = self._build_strategy(context)
optimizer = context["fleet"].distributed_optimizer(optimizer, strategy)
optimizer.minimize(model._cost)
context["model"][model_dict["name"]]["main_program"] = context[
"fleet"].main_program
context["model"][model_dict["name"]]["startup_program"] = context[
"fleet"].startup_program
context["model"][model_dict["name"]]["scope"] = fluid.global_scope()
context["model"][model_dict["name"]]["model"] = model
context["model"][model_dict["name"]]["default_main_program"] = context[
"fleet"].main_program.clone()
if context["fleet"].is_server():
self._server(context)
else:
context["fleet"].init_worker()
context["dataset"] = {}
for dataset in context["env"]["dataset"]:
type = envs.get_global_env("dataset." + dataset["name"] +
".type")
if type != "DataLoader":
dataset_class = QueueDataset(context)
context["dataset"][dataset[
"name"]] = dataset_class.create_dataset(
dataset["name"], context)
context["status"] = "startup_pass"
def _build_strategy(self, context):
from paddle.fluid.incubate.fleet.parameter_server.distribute_transpiler.distributed_strategy import StrategyFactory
mode = envs.get_runtime_environ("train.trainer.strategy")
assert mode in ["async", "geo", "sync", "half_async"]
strategy = None
if mode == "async":
strategy = StrategyFactory.create_async_strategy()
elif mode == "geo":
push_num = envs.get_global_env("train.strategy.mode.push_num", 100)
strategy = StrategyFactory.create_geo_strategy(push_num)
elif mode == "sync":
strategy = StrategyFactory.create_sync_strategy()
elif mode == "half_async":
strategy = StrategyFactory.create_half_async_strategy()
assert strategy is not None
context["strategy"] = strategy
return strategy
def _server(self, context):
init_model_path = envs.get_global_env(
"runner." + context["runner_name"] + ".init_model_path",
default_value="")
context["fleet"].init_server(init_model_path)
context["fleet"].run_server()
context['status'] = "terminal_pass"
class PslibNetwork(NetworkBase):
def __init__(self, context):
print("Running PslibNetwork.")
pass
def build_network(self, context):
context["model"] = {}
if len(context["env"]["phase"]) > 1:
warnings.warn(
"Cluster Train Only Support One Phase.",
category=UserWarning,
stacklevel=2)
model_dict = context["env"]["phase"][0]
train_program = fluid.Program()
startup_program = fluid.Program()
scope = fluid.Scope()
dataset_name = model_dict["dataset_name"]
with fluid.program_guard(train_program, startup_program):
with fluid.unique_name.guard():
with fluid.scope_guard(scope):
context["model"][model_dict["name"]] = {}
model_path = envs.os_path_adapter(
envs.workspace_adapter(model_dict["model"]))
model = envs.lazy_instance_by_fliename(
model_path, "Model")(context["env"])
model._data_var = model.input_data(
dataset_name=model_dict["dataset_name"])
if envs.get_global_env("dataset." + dataset_name +
".type") == "DataLoader":
model._init_dataloader(is_infer=False)
data_loader = DataLoader(context)
data_loader.get_dataloader(context, dataset_name,
model._data_loader)
model.net(model._data_var, False)
optimizer = model.optimizer()
optimizer = context["fleet"].distributed_optimizer(
optimizer)
optimizer.minimize([model._cost], [fluid.global_scope()])
context["model"][model_dict["name"]][
"main_program"] = train_program
context["model"][model_dict["name"]][
"startup_program"] = startup_program
context["model"][model_dict["name"]]["scope"] = scope
context["model"][model_dict["name"]]["model"] = model
context["model"][model_dict["name"]][
"default_main_program"] = train_program.clone()
if context["fleet"].is_server():
self._server(context)
else:
context["dataset"] = {}
for dataset in context["env"]["dataset"]:
type = envs.get_global_env("dataset." + dataset["name"] +
".type")
if type != "DataLoader":
dataset_class = QueueDataset(context)
context["dataset"][dataset[
"name"]] = dataset_class.create_dataset(
dataset["name"], context)
context["status"] = "startup_pass"
def _server(self, context):
context["fleet"].run_server()
context['status'] = "terminal_pass"
class CollectiveNetwork(NetworkBase):
def __init__(self, context):
print("Running CollectiveNetwork.")
pass
def build_network(self, context):
context["model"] = {}
if len(context["env"]["phase"]) > 1:
warnings.warn(
"Cluster Train Only Support One Phase.",
category=UserWarning,
stacklevel=2)
model_dict = context["env"]["phase"][0]
context["model"][model_dict["name"]] = {}
dataset_name = model_dict["dataset_name"]
train_program = fluid.Program()
startup_program = fluid.Program()
scope = fluid.Scope()
with fluid.program_guard(train_program, startup_program):
with fluid.scope_guard(scope):
model_path = envs.os_path_adapter(
envs.workspace_adapter(model_dict["model"]))
model = envs.lazy_instance_by_fliename(model_path,
"Model")(context["env"])
model._data_var = model.input_data(
dataset_name=model_dict["dataset_name"])
if envs.get_global_env("dataset." + dataset_name +
".type") == "DataLoader":
model._init_dataloader(is_infer=False)
data_loader = DataLoader(context)
data_loader.get_dataloader(context, dataset_name,
model._data_loader)
model.net(model._data_var, False)
optimizer = model.optimizer()
strategy = self._build_strategy(context)
optimizer = context["fleet"].distributed_optimizer(optimizer,
strategy)
optimizer.minimize(model._cost)
context["model"][model_dict["name"]]["main_program"] = context[
"fleet"].main_program
context["model"][model_dict["name"]][
"startup_program"] = startup_program
context["model"][model_dict["name"]]["scope"] = scope
context["model"][model_dict["name"]]["model"] = model
context["model"][model_dict["name"]][
"default_main_program"] = train_program
context["dataset"] = {}
for dataset in context["env"]["dataset"]:
type = envs.get_global_env("dataset." + dataset["name"] + ".type")
if type != "DataLoader":
dataset_class = QueueDataset(context)
context["dataset"][dataset[
"name"]] = dataset_class.create_dataset(dataset["name"],
context)
context["status"] = "startup_pass"
def _build_strategy(self, context):
from paddle.fluid.incubate.fleet.collective import DistributedStrategy
exec_strategy = fluid.ExecutionStrategy()
strategy = DistributedStrategy()
strategy.exec_strategy = exec_strategy
context["strategy"] = strategy
return strategy
| 42.668657
| 123
| 0.539317
| 1,336
| 14,294
| 5.514222
| 0.135479
| 0.050088
| 0.055382
| 0.068413
| 0.770327
| 0.729198
| 0.707887
| 0.68834
| 0.673001
| 0.659156
| 0
| 0.002145
| 0.347628
| 14,294
| 334
| 124
| 42.796407
| 0.787882
| 0.041836
| 0
| 0.771218
| 0
| 0
| 0.119432
| 0.003657
| 0
| 0
| 0
| 0
| 0.00738
| 1
| 0.051661
| false
| 0.04428
| 0.02952
| 0
| 0.107011
| 0.01845
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
9c3de727e1e29e139f4865b67f6d271a39250680
| 544
|
py
|
Python
|
compileman/Commands.py
|
danilocgsilva/CompileMan
|
26ea6cdd40f2bcbf3562da53da33f0dfe5e3fb92
|
[
"MIT"
] | null | null | null |
compileman/Commands.py
|
danilocgsilva/CompileMan
|
26ea6cdd40f2bcbf3562da53da33f0dfe5e3fb92
|
[
"MIT"
] | null | null | null |
compileman/Commands.py
|
danilocgsilva/CompileMan
|
26ea6cdd40f2bcbf3562da53da33f0dfe5e3fb92
|
[
"MIT"
] | null | null | null |
class Commands:
def __init__(self, arguments_commandline: list):
commands_allowed = ['compile', 'clean']
if len(arguments_commandline) > 1:
command = arguments_commandline[1]
if not command in commands_allowed:
raise Exception("You give an invalid command")
self.arguments_commandline = arguments_commandline
def is_command_given(self):
return len(self.arguments_commandline) > 1
def get_command_given(self):
return self.arguments_commandline[1]
| 28.631579
| 62
| 0.669118
| 60
| 544
| 5.783333
| 0.45
| 0.403458
| 0.276657
| 0.126801
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.009877
| 0.255515
| 544
| 18
| 63
| 30.222222
| 0.846914
| 0
| 0
| 0
| 0
| 0
| 0.071691
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 0.166667
| 0.5
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 4
|
9c4a7ba2ef76b198806294a0dd887692dcd14ce6
| 183
|
py
|
Python
|
moto/transcribe/__init__.py
|
oakbramble/moto
|
6350d8ec4c59eaf12b83385b6acd386e5c2f5593
|
[
"Apache-2.0"
] | 1
|
2021-12-12T04:23:06.000Z
|
2021-12-12T04:23:06.000Z
|
moto/transcribe/__init__.py
|
oakbramble/moto
|
6350d8ec4c59eaf12b83385b6acd386e5c2f5593
|
[
"Apache-2.0"
] | 4
|
2017-09-30T07:52:52.000Z
|
2021-12-13T06:56:55.000Z
|
moto/transcribe/__init__.py
|
oakbramble/moto
|
6350d8ec4c59eaf12b83385b6acd386e5c2f5593
|
[
"Apache-2.0"
] | 2
|
2021-11-24T08:05:43.000Z
|
2021-11-25T16:18:48.000Z
|
from __future__ import unicode_literals
from .models import transcribe_backends
transcribe_backend = transcribe_backends["us-east-1"]
mock_transcribe = transcribe_backend.decorator
| 26.142857
| 53
| 0.857923
| 22
| 183
| 6.681818
| 0.636364
| 0.244898
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005988
| 0.087432
| 183
| 6
| 54
| 30.5
| 0.874252
| 0
| 0
| 0
| 0
| 0
| 0.04918
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
9c6e8f293e124a2c3cead921721f2e55b9e93034
| 5,715
|
py
|
Python
|
pygsti/modelpacks/smq1Q_XY.py
|
drewrisinger/pyGSTi
|
dd4ad669931c7f75e026456470cf33ac5b682d0d
|
[
"Apache-2.0"
] | 1
|
2021-12-19T15:11:09.000Z
|
2021-12-19T15:11:09.000Z
|
pygsti/modelpacks/smq1Q_XY.py
|
drewrisinger/pyGSTi
|
dd4ad669931c7f75e026456470cf33ac5b682d0d
|
[
"Apache-2.0"
] | null | null | null |
pygsti/modelpacks/smq1Q_XY.py
|
drewrisinger/pyGSTi
|
dd4ad669931c7f75e026456470cf33ac5b682d0d
|
[
"Apache-2.0"
] | null | null | null |
"""
Variables for working with the a model containing X(pi/2) and Y(pi/2) gates.
"""
#***************************************************************************************************
# Copyright 2015, 2019 National Technology & Engineering Solutions of Sandia, LLC (NTESS).
# Under the terms of Contract DE-NA0003525 with NTESS, the U.S. Government retains certain rights
# in this software.
# 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 or in the LICENSE file in the root pyGSTi directory.
#***************************************************************************************************
from collections import OrderedDict
from pygsti.construction import circuitconstruction as _strc
from pygsti.construction import modelconstruction as _setc
from pygsti.modelpacks._modelpack import GSTModelPack, RBModelPack
class _Module(GSTModelPack, RBModelPack):
description = "X(pi/2) and Y(pi/2) gates"
gates = [('Gxpi2', 0), ('Gypi2', 0)]
_sslbls = (0,)
_germs = [(('Gxpi2', 0), ), (('Gypi2', 0), ), (('Gxpi2', 0), ('Gypi2', 0)), (('Gxpi2', 0), ('Gxpi2', 0), ('Gypi2', 0)),
(('Gxpi2', 0), ('Gypi2', 0), ('Gypi2', 0)), (('Gxpi2', 0), ('Gxpi2', 0), ('Gypi2', 0), ('Gxpi2', 0), ('Gypi2', 0), ('Gypi2', 0))]
_germs_lite = [(('Gxpi2', 0), ), (('Gypi2', 0), ), (('Gxpi2', 0), ('Gypi2', 0)), (('Gxpi2', 0), ('Gxpi2', 0), ('Gypi2', 0))]
_fiducials = [(), (('Gxpi2', 0), ), (('Gypi2', 0), ), (('Gxpi2', 0), ('Gxpi2', 0)), (('Gxpi2', 0), ('Gxpi2', 0), ('Gxpi2', 0)),
(('Gypi2', 0), ('Gypi2', 0), ('Gypi2', 0))]
_prepfiducials = [(), (('Gxpi2', 0), ), (('Gypi2', 0), ), (('Gxpi2', 0), ('Gxpi2', 0)), (('Gxpi2', 0), ('Gxpi2', 0), ('Gxpi2', 0)),
(('Gypi2', 0), ('Gypi2', 0), ('Gypi2', 0))]
_measfiducials = [(), (('Gxpi2', 0), ), (('Gypi2', 0), ), (('Gxpi2', 0), ('Gxpi2', 0)), (('Gxpi2', 0), ('Gxpi2', 0), ('Gxpi2', 0)),
(('Gypi2', 0), ('Gypi2', 0), ('Gypi2', 0))]
_clifford_compilation = OrderedDict([('Gc0', []), ('Gc1', [('Gypi2', 0), ('Gxpi2', 0)]),
('Gc2', [('Gxpi2', 0), ('Gxpi2', 0), ('Gxpi2', 0), ('Gypi2', 0), ('Gypi2', 0), ('Gypi2', 0)]),
('Gc3', [('Gxpi2', 0), ('Gxpi2', 0)]),
('Gc4', [('Gypi2', 0), ('Gypi2', 0), ('Gypi2', 0), ('Gxpi2', 0), ('Gxpi2', 0), ('Gxpi2', 0)]),
('Gc5', [('Gxpi2', 0), ('Gypi2', 0), ('Gypi2', 0), ('Gypi2', 0)]),
('Gc6', [('Gypi2', 0), ('Gypi2', 0)]),
('Gc7', [('Gypi2', 0), ('Gypi2', 0), ('Gypi2', 0), ('Gxpi2', 0)]),
('Gc8', [('Gxpi2', 0), ('Gypi2', 0)]),
('Gc9', [('Gxpi2', 0), ('Gxpi2', 0), ('Gypi2', 0), ('Gypi2', 0)]),
('Gc10', [('Gypi2', 0), ('Gxpi2', 0), ('Gxpi2', 0), ('Gxpi2', 0)]),
('Gc11', [('Gxpi2', 0), ('Gxpi2', 0), ('Gxpi2', 0), ('Gypi2', 0)]),
('Gc12', [('Gypi2', 0), ('Gxpi2', 0), ('Gxpi2', 0)]),
('Gc13', [('Gxpi2', 0), ('Gxpi2', 0), ('Gxpi2', 0)]),
('Gc14', [('Gxpi2', 0), ('Gypi2', 0), ('Gypi2', 0), ('Gypi2', 0), ('Gxpi2', 0), ('Gxpi2', 0),
('Gxpi2', 0)]), ('Gc15', [('Gypi2', 0), ('Gypi2', 0), ('Gypi2', 0)]),
('Gc16', [('Gxpi2', 0)]), ('Gc17', [('Gxpi2', 0), ('Gypi2', 0), ('Gxpi2', 0)]),
('Gc18', [('Gypi2', 0), ('Gypi2', 0), ('Gypi2', 0), ('Gxpi2', 0), ('Gxpi2', 0)]),
('Gc19', [('Gxpi2', 0), ('Gypi2', 0), ('Gypi2', 0)]),
('Gc20', [('Gxpi2', 0), ('Gypi2', 0), ('Gypi2', 0), ('Gypi2', 0), ('Gxpi2', 0)]),
('Gc21', [('Gypi2', 0)]),
('Gc22', [('Gxpi2', 0), ('Gxpi2', 0), ('Gxpi2', 0), ('Gypi2', 0), ('Gypi2', 0)]),
('Gc23', [('Gxpi2', 0), ('Gypi2', 0), ('Gxpi2', 0), ('Gxpi2', 0), ('Gxpi2', 0)])])
global_fidPairs = [(0, 0), (2, 3), (5, 2), (5, 4)]
_pergerm_fidPairsDict = {
(('Gxpi2', 0), ): [(1, 1), (3, 4), (4, 2), (5, 5)],
(('Gypi2', 0), ): [(0, 2), (2, 2), (2, 4), (4, 4)],
(('Gxpi2', 0), ('Gypi2', 0)): [(0, 0), (0, 4), (2, 5), (5, 4)],
(('Gxpi2', 0), ('Gxpi2', 0), ('Gypi2', 0)): [(1, 3), (1, 4), (3, 5), (5, 0), (5, 4), (5, 5)],
(('Gxpi2', 0), ('Gypi2', 0), ('Gypi2', 0)): [(0, 3), (1, 2), (2, 5), (3, 1), (3, 3), (5, 3)],
(('Gxpi2', 0), ('Gxpi2', 0), ('Gypi2', 0), ('Gxpi2', 0), ('Gypi2', 0), ('Gypi2', 0)): [(0, 0), (2, 3), (5, 2), (5, 4)]
}
global_fidPairs_lite = [(0, 2), (2, 4), (3, 1), (3, 3)]
_pergerm_fidPairsDict_lite = {
(('Gxpi2', 0), ): [(1, 1), (3, 4), (4, 2), (5, 5)],
(('Gypi2', 0), ): [(0, 2), (2, 2), (2, 4), (4, 4)],
(('Gxpi2', 0), ('Gypi2', 0)): [(0, 0), (0, 4), (2, 5), (5, 4)],
(('Gxpi2', 0), ('Gxpi2', 0), ('Gypi2', 0)): [(1, 3), (1, 4), (3, 5), (5, 0), (5, 4), (5, 5)]
}
def _target_model(self, sslbls):
return self._build_explicit_target_model(
sslbls, [('Gxpi2', 0), ('Gypi2', 0)], ['X(pi/2,{0})', 'Y(pi/2,{0})'])
import sys
sys.modules[__name__] = _Module()
| 62.802198
| 143
| 0.377953
| 641
| 5,715
| 3.319813
| 0.202808
| 0.24812
| 0.213816
| 0.214286
| 0.479793
| 0.479793
| 0.4375
| 0.428571
| 0.349624
| 0.349624
| 0
| 0.126417
| 0.305162
| 5,715
| 90
| 144
| 63.5
| 0.409469
| 0.130184
| 0
| 0.15
| 0
| 0
| 0.192292
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.016667
| false
| 0
| 0.083333
| 0.016667
| 0.35
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
9c7b146bf09f0ccf6684c48290e87c27303cffd5
| 6,290
|
py
|
Python
|
app/tests/service_container_test.py
|
golem4300/quattran
|
8ab49be9fce99d52384ada0defc94f3a0f4afff1
|
[
"MIT"
] | 183
|
2016-07-23T22:29:18.000Z
|
2016-09-25T15:39:10.000Z
|
app/tests/service_container_test.py
|
OpenPoGo/OpenPoGo
|
02a6c955a36e25f7dd7d325f20ea9d6f5418a911
|
[
"MIT"
] | 354
|
2016-07-23T21:43:27.000Z
|
2016-09-15T21:01:39.000Z
|
app/tests/service_container_test.py
|
OpenPoGo/OpenPoGo
|
02a6c955a36e25f7dd7d325f20ea9d6f5418a911
|
[
"MIT"
] | 104
|
2016-07-23T22:28:58.000Z
|
2016-09-09T11:28:01.000Z
|
import unittest
import pytest
from mock import Mock
from app import ServiceContainer
from app.exceptions import ServiceNotFoundException, ContainerAlreadyBootedException
class PluginsTest(unittest.TestCase):
@staticmethod
def test_register_singleton():
service_container = ServiceContainer()
service = Mock()
service_container.register_singleton('mock_service', service)
service_container.boot()
assert service_container.has('mock_service') is True
assert service_container.get('mock_service') is service
@staticmethod
def test_register_decorator():
service_container = ServiceContainer()
@service_container.register('test_service')
class TestService(object):
pass
service_container.boot()
assert service_container.has('test_service') is True
assert isinstance(service_container.get('test_service'), TestService) is True
@staticmethod
def test_get_service_unknown():
service_container = ServiceContainer()
service_container.boot()
with pytest.raises(ServiceNotFoundException):
service_container.get('test_service')
@staticmethod
def test_register_decorator_args():
service_container = ServiceContainer()
another_service = Mock()
service_container.register_singleton('another_service', another_service)
param_service = Mock()
service_container.register_singleton('param_service', param_service)
service_container.set_parameter('test_param', 'hello')
service_container.set_parameter('service_param', 'param_service')
@service_container.register('test_service', ['@another_service', '%test_param%', '%service_param%', 'static'])
class TestService(object):
def __init__(self, ts_another_service, ts_test_param, ts_param_service, ts_static_val):
self.another_service = ts_another_service
self.test_param = ts_test_param
self.param_service = ts_param_service
self.static_val = ts_static_val
service_container.boot()
test_service = service_container.get('test_service')
assert service_container.has('test_service') is True
assert isinstance(test_service, TestService) is True
assert test_service.another_service is another_service
assert test_service.test_param is 'hello'
assert test_service.param_service is param_service
assert test_service.static_val is 'static'
@staticmethod
def test_register_decorator_kwargs():
service_container = ServiceContainer()
another_service = Mock()
service_container.register_singleton('another_service', another_service)
param_service = Mock()
service_container.register_singleton('param_service', param_service)
service_container.set_parameter('test_param', 'hello')
service_container.set_parameter('service_param', 'param_service')
@service_container.register('test_service', keywordsargs={'ts_another_service': '@another_service', 'ts_test_param': '%test_param%', 'ts_param_service': '%service_param%', 'ts_static_val': 'static'})
class TestService(object):
def __init__(self, ts_another_service=None, ts_test_param=None, ts_param_service=None, ts_static_val=None):
self.another_service = ts_another_service
self.test_param = ts_test_param
self.param_service = ts_param_service
self.static_val = ts_static_val
service_container.boot()
test_service = service_container.get('test_service')
assert service_container.has('test_service') is True
assert isinstance(test_service, TestService) is True
assert test_service.another_service is another_service
assert test_service.test_param is 'hello'
assert test_service.param_service is param_service
assert test_service.static_val is 'static'
@staticmethod
def test_register_tags():
service_container = ServiceContainer()
another_service = Mock()
service_container.register_singleton('another_service', another_service, tags=['tag_one', 'tag_two', 'tag_three'])
@service_container.register('test_service', tags=['tag_one', 'tag_two'])
# pylint: disable=unused-variable
class TestService(object):
def __init__(self, ts_another_service=None, ts_test_param=None, ts_param_service=None, ts_static_val=None):
self.another_service = ts_another_service
self.test_param = ts_test_param
self.param_service = ts_param_service
self.static_val = ts_static_val
service_container.boot()
tag_one_services = service_container.get_by_tag('tag_one')
tag_two_services = service_container.get_by_tag('tag_two')
tag_three_services = service_container.get_by_tag('tag_three')
tag_four_services = service_container.get_by_tag('tag_four')
assert len(tag_one_services) is 2
assert len(tag_two_services) is 2
assert len(tag_three_services) is 1
assert len(tag_four_services) is 0
@staticmethod
def test_compiler_pass():
service_container = ServiceContainer()
@service_container.register_compiler_pass()
# pylint: disable=unused-variable
def compiler_pass(sc):
sc.set_parameter('compiler_set', 'test')
service_container.boot()
assert service_container.get_parameter('compiler_set') is 'test'
@staticmethod
def test_compiler_pass_already_booted():
service_container = ServiceContainer()
service_container.boot()
with pytest.raises(ContainerAlreadyBootedException):
@service_container.register_compiler_pass()
# pylint: disable=unused-variable
def compiler_pass(sc):
sc.set_parameter('compiler_set', 'test')
@staticmethod
def test_boot_already_booted():
service_container = ServiceContainer()
service_container.boot()
with pytest.raises(ContainerAlreadyBootedException):
service_container.boot()
| 37.891566
| 207
| 0.69841
| 695
| 6,290
| 5.928058
| 0.097842
| 0.190291
| 0.069903
| 0.056796
| 0.826456
| 0.765049
| 0.681311
| 0.631553
| 0.631553
| 0.615049
| 0
| 0.000816
| 0.22035
| 6,290
| 165
| 208
| 38.121212
| 0.839315
| 0.015103
| 0
| 0.683333
| 0
| 0
| 0.099661
| 0
| 0
| 0
| 0
| 0
| 0.175
| 1
| 0.116667
| false
| 0.058333
| 0.041667
| 0
| 0.2
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
92f5d9933f7fc527ce436b69a538a62f022b7e9f
| 28,261
|
py
|
Python
|
datahub/sql/controllers/aws/comprehend_controller.py
|
Chronicles-of-AI/osiris
|
c71b1324ed270caa3724c0a8c58c4883b28dc19c
|
[
"Apache-2.0"
] | 3
|
2021-08-03T08:13:40.000Z
|
2022-02-23T04:27:30.000Z
|
datahub/sql/controllers/aws/comprehend_controller.py
|
Chronicles-of-AI/osiris
|
c71b1324ed270caa3724c0a8c58c4883b28dc19c
|
[
"Apache-2.0"
] | null | null | null |
datahub/sql/controllers/aws/comprehend_controller.py
|
Chronicles-of-AI/osiris
|
c71b1324ed270caa3724c0a8c58c4883b28dc19c
|
[
"Apache-2.0"
] | null | null | null |
from commons.external_call import APIInterface
from sql import config, logger
from sql.crud.model_crud import CRUDModel
from sql.crud.deployment_crud import CRUDDeployment
from sql.crud.project_flow_crud import CRUDProjectFlow
from sql.crud.model_monitoring_crud import CRUDModelMonitoring
from datetime import datetime
logging = logger(__name__)
class ComprehendController:
def __init__(self):
self.CRUDModel = CRUDModel()
self.CRUDDeployment = CRUDDeployment()
self.CRUDProjectFlow = CRUDProjectFlow()
self.CRUDModelMonitoring = CRUDModelMonitoring()
self.core_aws_comprehend_config = (
config.get("core_engine").get("aws").get("comprehend_router")
)
def create_document_classifier_controller(self, request):
"""[Controller function to create a new document classifier using AWS Comprehend]
Args:
request ([dict]): [Create document classifier request]
Raises:
error: [Error raised from controller layer]
Returns:
[str]: [document_classifier_arn]
[str]: [status]
"""
try:
logging.info("executing create_document_classifier_controller function")
uuid = str(int(datetime.now().timestamp()))
create_document_classifier_request = request.dict(exclude_none=True)
create_document_classifier_url = self.core_aws_comprehend_config.get(
"create_document_classifier"
)
response, status_code = APIInterface.post(
route=create_document_classifier_url,
data=create_document_classifier_request,
)
if status_code == 200:
crud_request = {
"pipeline_id": create_document_classifier_request.get(
"pipeline_id"
),
"model_id": response.get("document_classifier_arn"),
"dataset_id": create_document_classifier_request.get(
"InputDataConfig"
),
"artifacts": create_document_classifier_request.get(
"OutputDataConfig"
),
"alias_name": create_document_classifier_request.get(
"DocumentClassifierName"
),
"auto_trigger": False,
"UUID": uuid,
"status": "Running",
"created": datetime.now(),
}
self.CRUDModel.create(**crud_request)
project_flow_crud_request = {
"pipeline_id": create_document_classifier_request.get(
"pipeline_id"
),
"updated_at": datetime.now(),
"functional_stage_id": response.get("document_classifier_arn"),
"current_stage": "TRAINING",
}
self.CRUDProjectFlow.update(**project_flow_crud_request)
return {
"document_classifier_arn": response.get("document_classifier_arn"),
"status": "training started",
}
else:
raise Exception({"status": "training failed"})
except Exception as error:
logging.error(
f"Error in create_document_classifier_controller function: {error}"
)
raise error
def create_entity_recognizer_controller(self, request):
"""[Controller function to create a new entity recognizer using AWS Comprehend]
Args:
request ([dict]): [Create entity recognizer request]
Raises:
error: [Error raised from controller layer]
Returns:
[str]: [entity_recognizer_arn]
[str]: [status]
"""
try:
logging.info("executing create_entity_recognizer_controller function")
uuid = str(int(datetime.now().timestamp()))
create_entity_recognizer_request = request.dict(exclude_none=True)
create_entity_recognizer_url = self.core_aws_comprehend_config.get(
"create_entity_recognizer"
)
response, status_code = APIInterface.post(
route=create_entity_recognizer_url,
data=create_entity_recognizer_request,
)
if status_code == 200:
crud_request = {
"pipeline_id": create_entity_recognizer_request.get("pipeline_id"),
"model_id": response.get("entity_recognizer_arn"),
"dataset_id": create_entity_recognizer_request.get(
"InputDataConfig"
),
"artifacts": create_entity_recognizer_request.get(
"OutputDataConfig"
),
"alias_name": create_entity_recognizer_request.get(
"RecognizerName"
),
"auto_trigger": False,
"UUID": uuid,
"status": "Running",
"created": datetime.now(),
}
self.CRUDModel.create(**crud_request)
project_flow_crud_request = {
"pipeline_id": create_entity_recognizer_request.get("pipeline_id"),
"updated_at": datetime.now(),
"functional_stage_id": response.get("entity_recognizer_arn"),
"current_stage": "TRAINING",
}
self.CRUDProjectFlow.update(**project_flow_crud_request)
return {
"entity_recognizer_arn": response.get("entity_recognizer_arn"),
"status": "training started",
}
else:
raise Exception({"status": "training failed"})
except Exception as error:
logging.error(
f"Error in create_entity_recognizer_controller function: {error}"
)
raise error
def delete_document_classifier_controller(self, request):
"""[Controller function to delete a document classifier using AWS Comprehend]
Args:
request ([dict]): [Delete document classifier request]
Raises:
error: [Error raised from controller layer]
Returns:
[str]: [status]
"""
try:
logging.info("executing delete_document_classifier_controller function")
delete_document_classifier_request = request.dict(exclude_none=True)
delete_document_classifier_url = self.core_aws_comprehend_config.get(
"delete_document_classifier"
)
response, status_code = APIInterface.post(
route=delete_document_classifier_url,
data=delete_document_classifier_request,
)
if status_code == 200:
crud_request = {
"model_id": request.DocumentClassifierArn,
"status": "Deleted",
"updated": datetime.now(),
}
self.CRUDModel.update(crud_request)
return {"status": "classifier deleted"}
else:
raise Exception({"status": "deletion failed"})
except Exception as error:
logging.error(
f"Error in delete_document_classifier_controller function: {error}"
)
raise error
def delete_entity_recognizer_controller(self, request):
"""[Controller function to delete a entity_recognizer using AWS Comprehend]
Args:
request ([dict]): [Delete entity_recognizer request]
Raises:
error: [Error raised from controller layer]
Returns:
[str]: [status]
"""
try:
logging.info("executing delete_entity_recognizer_controller function")
delete_entity_recognizer_request = request.dict(exclude_none=True)
delete_entity_recognizer_url = self.core_aws_comprehend_config.get(
"delete_entity_recognizer"
)
response, status_code = APIInterface.post(
route=delete_entity_recognizer_url,
data=delete_entity_recognizer_request,
)
if status_code == 200:
crud_request = {
"model_id": request.DocumentClassifierArn,
"status": "Deleted",
"updated": datetime.now(),
}
self.CRUDModel.update(crud_request)
return {"status": "recognizer deleted"}
else:
raise Exception({"status": "deletion failed"})
except Exception as error:
logging.error(
f"Error in delete_entity_recognizer_controller function: {error}"
)
raise error
def describe_document_classifier_controller(self, request):
"""[Controller function to describe a document classifier using AWS Comprehend]
Args:
request ([dict]): [Describe document classifier request]
Raises:
error: [Error raised from controller layer]
Returns:
[dict]: [Document Classifier description returned from core engine]
"""
try:
logging.info("executing describe_document_classifier_controller function")
describe_document_classifier_request = request.dict(exclude_none=True)
describe_document_classifier_url = self.core_aws_comprehend_config.get(
"describe_document_classifier"
)
response, status_code = APIInterface.post(
route=describe_document_classifier_url,
data=describe_document_classifier_request,
)
crud_request = {
"model_id": request.DocumentClassifierArn,
"status": response.get("Status"),
"updated": datetime.now(),
}
self.CRUDModel.update(crud_request)
evaluation_metrics = (
response.get("DocumentClassifierProperties")
.get("ClassifierMetadata")
.get("EvaluationMetrics")
)
f1_score = evaluation_metrics.get("F1Score")
precision = evaluation_metrics.get("Precision")
recall = evaluation_metrics.get("Recall")
status = response.get("DocumentClassifierProperties").get("Status")
if status == "TRAINED":
create_model_monitoring_request = {
"model_uri": request.DocumentClassifierArn,
"model_f1_score": f1_score,
"model_recall": recall,
"model_precision": precision,
"model_drift_threshold": "0.8",
"created_at": datetime.now(),
"updated_at": datetime.now(),
}
if (
len(
self.CRUDModelMonitoring.read(
model_uri=request.DocumentClassifierArn
)
)
== 0
):
project_flow_crud_request = {
"pipeline_id": request.pipeline_id,
"updated_at": datetime.now(),
"current_stage": "TRAINED",
}
self.CRUDProjectFlow.update(**project_flow_crud_request)
self.CRUDModelMonitoring.create(**create_model_monitoring_request)
return response
except Exception as error:
logging.error(
f"Error in describe_document_classifier_controller function: {error}"
)
raise error
def describe_document_classifier_status_controller(self, request):
"""[Controller function to describe a document classifier status using AWS Comprehend]
Args:
request ([dict]): [Describe document classifier request]
Raises:
error: [Error raised from controller layer]
Returns:
[dict]: [Document Classifier description returned from core engine]
"""
try:
logging.info(
"executing describe_document_classifier_status_controller function"
)
describe_document_classifier_request = request.dict(exclude_none=True)
describe_document_classifier_url = self.core_aws_comprehend_config.get(
"describe_document_classifier"
)
response, status_code = APIInterface.post(
route=describe_document_classifier_url,
data=describe_document_classifier_request,
)
document_classifier_status = response.get(
"DocumentClassifierProperties"
).get("Status")
return {"model_status": document_classifier_status}
except Exception as error:
logging.error(
f"Error in describe_document_classifier_status_controller function: {error}"
)
raise error
def describe_entity_recognizer_controller(self, request):
"""[Controller function to describe a entity recognizer using AWS Comprehend]
Args:
request ([dict]): [Describe entity recognizer request]
Raises:
error: [Error raised from controller layer]
Returns:
[dict]: [entity recognizer description returned from core engine]
"""
try:
logging.info("executing describe_entity_recognizer_controller function")
describe_entity_recognizer_request = request.dict(exclude_none=True)
describe_entity_recognizer_url = self.core_aws_comprehend_config.get(
"describe_entity_recognizer"
)
response, status_code = APIInterface.post(
route=describe_entity_recognizer_url,
data=describe_entity_recognizer_request,
)
crud_request = {
"model_id": request.EntityRecognizerArn,
"status": response.get("Status"),
"updated": datetime.now(),
}
self.CRUDModel.update(crud_request)
evaluation_metrics = (
response.get("EntityRecognizerProperties")
.get("RecognizerMetadata")
.get("EvaluationMetrics")
)
f1_score = evaluation_metrics.get("F1Score")
precision = evaluation_metrics.get("Precision")
recall = evaluation_metrics.get("Recall")
status = response.get("EntityRecognizerProperties").get("Status")
if status == "TRAINED":
create_model_monitoring_request = {
"model_uri": request.EntityRecognizerArn,
"model_f1_score": f1_score,
"model_recall": recall,
"model_precision": precision,
"model_drift_threshold": "0.8",
"created_at": datetime.now(),
"updated_at": datetime.now(),
}
if (
len(
self.CRUDModelMonitoring.read(
model_uri=request.EntityRecognizerArn
)
)
== 0
):
project_flow_crud_request = {
"pipeline_id": request.pipeline_id,
"updated_at": datetime.now(),
"current_stage": "TRAINED",
}
self.CRUDProjectFlow.update(**project_flow_crud_request)
self.CRUDModelMonitoring.create(**create_model_monitoring_request)
return response
except Exception as error:
logging.error(
f"Error in describe_entity_recognizer_controller function: {error}"
)
raise error
def describe_entity_recognizer_status_controller(self, request):
"""[Controller function to describe a entity recognizer status using AWS Comprehend]
Args:
request ([dict]): [Describe entity recognizer request]
Raises:
error: [Error raised from controller layer]
Returns:
[dict]: [entity recognizer description returned from core engine]
"""
try:
logging.info(
"executing describe_entity_recognizer_status_controller function"
)
describe_entity_recognizer_request = request.dict(exclude_none=True)
describe_entity_recognizer_url = self.core_aws_comprehend_config.get(
"describe_entity_recognizer"
)
response, status_code = APIInterface.post(
route=describe_entity_recognizer_url,
data=describe_entity_recognizer_request,
)
model_status = response.get("EntityRecognizerProperties").get("Status")
return {"model_status": model_status}
except Exception as error:
logging.error(
f"Error in describe_entity_recognizer_status_controller function: {error}"
)
raise error
def stop_training_document_classifier_controller(self, request):
"""[Controller function to stop a training job on AWS Comprehend]
Args:
request ([dict]): [Stop training request]
Raises:
error: [Error raised from controller layer]
Returns:
[str]: [Status of training job]
"""
try:
logging.info(
"executing stop_training_document_classifier_controller function"
)
stop_training_document_classifier_request = request.dict(exclude_none=True)
stop_training_document_classifier_url = self.core_aws_comprehend_config.get(
"stop_training_document_classifier"
)
response, status_code = APIInterface.post(
route=stop_training_document_classifier_url,
data=stop_training_document_classifier_request,
)
if status_code == 200:
crud_request = {
"model_id": request.DocumentClassifierArn,
"status": "Stopped",
"updated": datetime.now(),
}
self.CRUDModel.update(crud_request)
project_flow_crud_request = {
"pipeline_id": stop_training_document_classifier_request.get(
"pipeline_id"
),
"updated_at": datetime.now(),
"functional_stage_id": request.DocumentClassifierArn,
"current_stage": "TRAINING_STOPPED",
}
self.CRUDProjectFlow.update(**project_flow_crud_request)
return {"status": "training stopped"}
else:
raise Exception({"status": "training failed"})
except Exception as error:
logging.error(
f"Error in stop_training_document_classifier_controller function: {error}"
)
raise error
def stop_training_entity_recognizer_controller(self, request):
"""[Controller function to stop a training job on AWS Comprehend]
Args:
request ([dict]): [Stop training request]
Raises:
error: [Error raised from controller layer]
Returns:
[str]: [Status of training job]
"""
try:
logging.info(
"executing stop_training_entity_recognizer_controller function"
)
stop_training_entity_recognizer_request = request.dict(exclude_none=True)
stop_training_entity_recognizer_url = self.core_aws_comprehend_config.get(
"stop_training_entity_recognizer"
)
response, status_code = APIInterface.post(
route=stop_training_entity_recognizer_url,
data=stop_training_entity_recognizer_request,
)
if status_code == 200:
crud_request = {
"model_id": request.EntityRecognizerArn,
"status": "Stopped",
"updated": datetime.now(),
}
self.CRUDModel.update(crud_request)
project_flow_crud_request = {
"pipeline_id": stop_training_entity_recognizer_request.get(
"pipeline_id"
),
"updated_at": datetime.now(),
"functional_stage_id": request.EntityRecognizerArn,
"current_stage": "TRAINING_STOPPED",
}
self.CRUDProjectFlow.update(**project_flow_crud_request)
return {"status": "training stopped"}
else:
raise Exception({"status": "training failed"})
except Exception as error:
logging.error(
f"Error in stop_training_entity_recognizer_controller function: {error}"
)
raise error
def list_document_classifier_controller(self):
"""[Controller function to list all the document classifiers on AWS Comprehend]
Raises:
error: [Error raised from controller layer]
Returns:
[dict]: [List of all the document classifier on AWS Comprehend]
"""
try:
logging.info("executing list_document_classifier_controller function")
list_document_classifier_url = self.core_aws_comprehend_config.get(
"list_document_classifier"
)
response, status_code = APIInterface.get(
route=list_document_classifier_url,
)
return response
except Exception as error:
logging.error(
f"Error in list_document_classifier_controller function: {error}"
)
raise error
def list_entity_recognizer_controller(self):
"""[Controller function to list all the entity recognizers on AWS Comprehend]
Raises:
error: [Error raised from controller layer]
Returns:
[dict]: [List of all the entity recognizers on AWS Comprehend]
"""
try:
logging.info("executing list_entity_recognizer_controller function")
list_entity_recognizer_url = self.core_aws_comprehend_config.get(
"list_entity_recognizer"
)
response, status_code = APIInterface.get(
route=list_entity_recognizer_url,
)
return response
except Exception as error:
logging.error(
f"Error in list_entity_recognizer_controller function: {error}"
)
raise error
def deploy_model_controller(self, request):
"""[Controller function to deploy a document classifier]
Args:
request ([dict]): [Deploy document classifier request]
Raises:
error: [Error raised from controller layer]
Returns:
[dict]: [Details of the deployed document classifier model]
"""
try:
logging.info("executing deploy_model_controller function")
uuid = str(int(datetime.now().timestamp()))
deploy_model_request = request.dict(exclude_none=True)
deploy_model_url = self.core_aws_comprehend_config.get("deploy_model")
response, status_code = APIInterface.post(
route=deploy_model_url,
data=deploy_model_request,
)
if status_code == 200:
deployment_crud_request = {
"pipeline_id": deploy_model_request.get("pipeline_id"),
"UUID": uuid,
"model_id": request.model_arn,
"deployment_endpoint": response.get("endpoint_arn"),
"created": datetime.now(),
"status": "Deployed",
}
self.CRUDDeployment.create(**deployment_crud_request)
project_flow_crud_request = {
"pipeline_id": deploy_model_request.get("pipeline_id"),
"updated_at": datetime.now(),
"model_id": request.model_arn,
"functional_stage_id": request.model_arn,
"current_stage": "MODEL_DEPLOYED",
}
self.CRUDProjectFlow.update(**project_flow_crud_request)
response.update({"status": "model deployed successfully"})
return response
else:
raise Exception({"status": "model deployment failed"})
except Exception as error:
logging.error(f"Error in deploy_model_controller function: {error}")
raise error
def undeploy_model_controller(self, request):
"""[Controller function to undeploy a document classifier]
Args:
request ([dict]): [Un-Deploy document classifier request]
Raises:
error: [Error raised from controller layer]
Returns:
[dict]: [Details of the undeployed document classifier model]
"""
try:
logging.info("executing undeploy_model_controller function")
undeploy_model_request = request.dict(exclude_none=True)
undeploy_model_url = self.core_aws_comprehend_config.get("undeploy_model")
response, status_code = APIInterface.post(
route=undeploy_model_url,
data=undeploy_model_request,
)
if status_code == 200:
undeployment_crud_request = {
"deployment_endpoint": request.endpoint_arn,
"updated": datetime.now(),
"status": "UnDeployed",
}
self.CRUDDeployment.update_by_endpoint(
deployment_request=undeployment_crud_request
)
project_flow_crud_request = {
"pipeline_id": undeploy_model_request.get("pipeline_id"),
"updated_at": datetime.now(),
"current_stage": "MODEL_UNDEPLOYED",
}
self.CRUDProjectFlow.update(**project_flow_crud_request)
return {"status": "model undeployed successfully"}
else:
raise Exception({"status": "model undeployment failed"})
except Exception as error:
logging.error(f"Error in undeploy_model_controller function: {error}")
raise error
def get_predictions_controller(self, endpoint_arn: str, text: str):
"""[Controller function to get predictions from trained document classifier]
Args:
endpoint_arn (str): [endpoint of the trained document classifier]
text (str): [text to be classified]
Raises:
error: [Error raised from controller layer]
Returns:
[dict]: [predictions from the trained model]
"""
try:
logging.info("executing get_predictions_controller function")
get_predictions_url = self.core_aws_comprehend_config.get("get_predictions")
response, status_code = APIInterface.get(
route=get_predictions_url,
params={"endpoint_arn": endpoint_arn, "text": text},
)
return response
except Exception as error:
logging.error(f"Error in get_predictions_controller function: {error}")
raise error
| 41.017417
| 94
| 0.564453
| 2,438
| 28,261
| 6.256358
| 0.064397
| 0.092047
| 0.036058
| 0.022028
| 0.856684
| 0.811447
| 0.768046
| 0.712909
| 0.585262
| 0.505409
| 0
| 0.002098
| 0.359046
| 28,261
| 688
| 95
| 41.077035
| 0.839958
| 0.134319
| 0
| 0.53937
| 0
| 0
| 0.186008
| 0.076289
| 0
| 0
| 0
| 0
| 0
| 1
| 0.031496
| false
| 0
| 0.01378
| 0
| 0.076772
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
92ffd4ef7fef5ad7217dfd42ffbf2bf0dc75af83
| 224
|
py
|
Python
|
Library/book_inventory/serializers.py
|
aybarskerem/BookInventory
|
75aa784185940ba5e85e5181991c88edf68fa65d
|
[
"MIT"
] | null | null | null |
Library/book_inventory/serializers.py
|
aybarskerem/BookInventory
|
75aa784185940ba5e85e5181991c88edf68fa65d
|
[
"MIT"
] | null | null | null |
Library/book_inventory/serializers.py
|
aybarskerem/BookInventory
|
75aa784185940ba5e85e5181991c88edf68fa65d
|
[
"MIT"
] | null | null | null |
from rest_framework import serializers
from book_inventory.models import BookInventory
class BookInventorySerializer(serializers.ModelSerializer):
class Meta:
model = BookInventory
fields = '__all__'
| 32
| 59
| 0.767857
| 21
| 224
| 7.904762
| 0.761905
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1875
| 224
| 7
| 60
| 32
| 0.912088
| 0
| 0
| 0
| 0
| 0
| 0.031111
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
1306fa7facf8b26780a1a8a8bf527890a51ca961
| 263
|
py
|
Python
|
src/commerce/commerce-vis.py
|
Calvibert/machine-learning-exercises
|
8184a8338505ea8075992f419385620be6522d14
|
[
"MIT"
] | null | null | null |
src/commerce/commerce-vis.py
|
Calvibert/machine-learning-exercises
|
8184a8338505ea8075992f419385620be6522d14
|
[
"MIT"
] | null | null | null |
src/commerce/commerce-vis.py
|
Calvibert/machine-learning-exercises
|
8184a8338505ea8075992f419385620be6522d14
|
[
"MIT"
] | null | null | null |
import numpy as np
from prettytable import PrettyTable as pt
# array = np.loadtxt(open("may2018comm.csv", "rb"), dtype="str", delimiter=";", skiprows=1)
array = np.genfromtxt(open("may2018comm.csv", "rb"), dtype="str", delimiter=";", skip_header=1)
print(array)
| 37.571429
| 95
| 0.711027
| 37
| 263
| 5.027027
| 0.594595
| 0.075269
| 0.193548
| 0.215054
| 0.397849
| 0.397849
| 0.397849
| 0
| 0
| 0
| 0
| 0.042373
| 0.102662
| 263
| 7
| 96
| 37.571429
| 0.745763
| 0.338403
| 0
| 0
| 0
| 0
| 0.121387
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0.25
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
13264f86ebc8c9ec08ffbfd8453bed33b8c4bfb9
| 97
|
py
|
Python
|
telegram_handler/__main__.py
|
RedbanxUK/telegram-python-log
|
8a89064df025b5eff8b2b95d213efca1d83d3b7c
|
[
"MIT"
] | 88
|
2016-04-25T09:56:45.000Z
|
2022-03-26T14:35:51.000Z
|
telegram_handler/__main__.py
|
RedbanxUK/telegram-python-log
|
8a89064df025b5eff8b2b95d213efca1d83d3b7c
|
[
"MIT"
] | 28
|
2016-04-19T17:16:44.000Z
|
2022-01-24T18:36:49.000Z
|
telegram_handler/__main__.py
|
RedbanxUK/telegram-python-log
|
8a89064df025b5eff8b2b95d213efca1d83d3b7c
|
[
"MIT"
] | 27
|
2016-08-12T22:06:51.000Z
|
2022-03-19T23:26:16.000Z
|
if __name__ == '__main__': # pragma: no cover
from telegram_handler import main
main()
| 19.4
| 46
| 0.670103
| 12
| 97
| 4.666667
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.237113
| 97
| 4
| 47
| 24.25
| 0.756757
| 0.164948
| 0
| 0
| 0
| 0
| 0.101266
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
133d9eb900a49977d73f60477727d2ebba093a48
| 297
|
py
|
Python
|
{{cookiecutter.project_slug}}/{{cookiecutter.project_slug}}/core.py
|
wpk-nist-gov/cookiecutter-pypackage
|
e23dabd6e08a10e4b7ab6f119c4212832a3126e8
|
[
"BSD-3-Clause"
] | null | null | null |
{{cookiecutter.project_slug}}/{{cookiecutter.project_slug}}/core.py
|
wpk-nist-gov/cookiecutter-pypackage
|
e23dabd6e08a10e4b7ab6f119c4212832a3126e8
|
[
"BSD-3-Clause"
] | null | null | null |
{{cookiecutter.project_slug}}/{{cookiecutter.project_slug}}/core.py
|
wpk-nist-gov/cookiecutter-pypackage
|
e23dabd6e08a10e4b7ab6f119c4212832a3126e8
|
[
"BSD-3-Clause"
] | null | null | null |
"""
core functionality
"""
def another_func(a, b):
"""
just a test
Parameters
----------
a : int
an input
b : float
another input
See also
--------
{{ cookiecutter.project_slug }}.{{ cookiecutter.project_slug }}.a_function
"""
pass
| 12.913043
| 78
| 0.508418
| 30
| 297
| 4.9
| 0.7
| 0.258503
| 0.312925
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.329966
| 297
| 22
| 79
| 13.5
| 0.738693
| 0.6633
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0.5
| 0
| 0
| 0.5
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
133efbe51fa6e6c5ed87fb5041083f8605fa7cf3
| 136
|
py
|
Python
|
narcis_api/models/operating_system.py
|
narcisus/narcis-api
|
2a73deddb858f179beb7cb862ba2f59587c99be1
|
[
"MIT"
] | null | null | null |
narcis_api/models/operating_system.py
|
narcisus/narcis-api
|
2a73deddb858f179beb7cb862ba2f59587c99be1
|
[
"MIT"
] | null | null | null |
narcis_api/models/operating_system.py
|
narcisus/narcis-api
|
2a73deddb858f179beb7cb862ba2f59587c99be1
|
[
"MIT"
] | null | null | null |
from . import Base
from .named_model import NamedModel
class OperatingSystem(Base, NamedModel):
__tablename__ = 'operating_system'
| 22.666667
| 40
| 0.794118
| 15
| 136
| 6.8
| 0.733333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.139706
| 136
| 5
| 41
| 27.2
| 0.871795
| 0
| 0
| 0
| 0
| 0
| 0.117647
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
134e3517b0209490937f0658192abc5f5b677475
| 163
|
py
|
Python
|
configs/resnet50_cxr14_bs16.py
|
JiYuanFeng/mmclassification
|
b337ef1f11b85148cca4b6fb0c4da3f8cc2eede6
|
[
"Apache-2.0"
] | null | null | null |
configs/resnet50_cxr14_bs16.py
|
JiYuanFeng/mmclassification
|
b337ef1f11b85148cca4b6fb0c4da3f8cc2eede6
|
[
"Apache-2.0"
] | null | null | null |
configs/resnet50_cxr14_bs16.py
|
JiYuanFeng/mmclassification
|
b337ef1f11b85148cca4b6fb0c4da3f8cc2eede6
|
[
"Apache-2.0"
] | null | null | null |
_base_ = [
'_base_/datasets/cxr14_bs16.py',
'_base_/models/resnet50_cxr14.py',
'_base_/schedules/cxr14_bs16_ep20.py',
'_base_/default_runtime.py'
]
| 27.166667
| 42
| 0.705521
| 21
| 163
| 4.761905
| 0.52381
| 0.18
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1
| 0.141104
| 163
| 6
| 43
| 27.166667
| 0.614286
| 0
| 0
| 0
| 0
| 0
| 0.731707
| 0.731707
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
136b7e1a4d3c6c298fe235ff9b1494e86c0a1556
| 763
|
py
|
Python
|
heap/heap.py
|
nkzlkk/algo-implementations
|
637d8498a6f2e45828eb443920a5e17a5c69fbd3
|
[
"MIT"
] | null | null | null |
heap/heap.py
|
nkzlkk/algo-implementations
|
637d8498a6f2e45828eb443920a5e17a5c69fbd3
|
[
"MIT"
] | null | null | null |
heap/heap.py
|
nkzlkk/algo-implementations
|
637d8498a6f2e45828eb443920a5e17a5c69fbd3
|
[
"MIT"
] | null | null | null |
"""
Implementation of a binary Min Heap, represented by an array.
"""
class MinHeap():
def __init__(self):
self.array = []
self.root = None
self.size = 0
def parent(heap, i):
"""
Returns the index of the parent of a given node.
"""
if i == 0:
return 0
return heap.array[(i-1)//2]
def left(heap, i):
"""
Returns the left child of a given node.
"""
return heap.array[2*i + 1]
def right(heap, i):
"""
Returns the right child of a given node.
"""
return heap.array[2*i + 2]
def return_smallest(heap):
"""
Returns the smallest value from a correct MinHeap.
"""
return heap.root
def heapify(heap):
#TODO
pass
def insert(heap):
#TODO
pass
| 15.895833
| 61
| 0.567497
| 109
| 763
| 3.926606
| 0.376147
| 0.028037
| 0.084112
| 0.10514
| 0.158879
| 0.158879
| 0.158879
| 0.158879
| 0.158879
| 0.158879
| 0
| 0.017045
| 0.307995
| 763
| 48
| 62
| 15.895833
| 0.793561
| 0.328965
| 0
| 0.105263
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.020833
| 0
| 1
| 0.368421
| false
| 0.105263
| 0
| 0
| 0.684211
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
13740e4d6aa05ebbe4fa7bb05ce3fe78211ef58a
| 75
|
py
|
Python
|
range-sample1.py
|
misizeji/python_study_notes
|
b0f5a224ac65f962c6255ab7cf8a1912704d1617
|
[
"MIT"
] | null | null | null |
range-sample1.py
|
misizeji/python_study_notes
|
b0f5a224ac65f962c6255ab7cf8a1912704d1617
|
[
"MIT"
] | 1
|
2018-05-23T06:35:37.000Z
|
2018-05-23T06:36:12.000Z
|
range-sample1.py
|
misizeji/python_study_notes
|
b0f5a224ac65f962c6255ab7cf8a1912704d1617
|
[
"MIT"
] | null | null | null |
#!/usr/bin/python3
for i in range(-10,-100,-30):
print(i)
print(i)
| 15
| 29
| 0.573333
| 14
| 75
| 3.071429
| 0.785714
| 0.27907
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.133333
| 0.2
| 75
| 5
| 30
| 15
| 0.583333
| 0.226667
| 0
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.666667
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
1387520c6d3dbfb302062778261d540b1d54f9a9
| 109
|
py
|
Python
|
cubi_tk/__init__.py
|
eudesbarbosa/cubi-tk
|
80c3ef9387f2399f796b2cc445b99781d541f222
|
[
"MIT"
] | 132
|
2017-05-14T23:52:52.000Z
|
2022-03-30T14:18:31.000Z
|
cubi_tk/__init__.py
|
eudesbarbosa/cubi-tk
|
80c3ef9387f2399f796b2cc445b99781d541f222
|
[
"MIT"
] | 65
|
2020-09-23T13:22:41.000Z
|
2022-03-17T11:02:42.000Z
|
sodar_cli/__init__.py
|
bihealth/sodar-cli
|
5fe56513565222eef125752119e634d36b3c8772
|
[
"MIT"
] | 40
|
2017-01-08T22:19:49.000Z
|
2021-11-25T05:25:13.000Z
|
from ._version import get_versions # type: ignore
__version__ = get_versions()["version"]
del get_versions
| 21.8
| 50
| 0.779817
| 14
| 109
| 5.5
| 0.571429
| 0.428571
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.12844
| 109
| 4
| 51
| 27.25
| 0.810526
| 0.110092
| 0
| 0
| 0
| 0
| 0.073684
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
13b28a4339e79aea898774bec1583ae6b7322f6e
| 161
|
py
|
Python
|
src/ezdxf/tracker.py
|
hh-wu/ezdxf
|
62509ba39b826ee9b36f19c0a5abad7f3518186a
|
[
"MIT"
] | 2
|
2021-07-28T03:52:02.000Z
|
2021-07-31T05:08:11.000Z
|
src/ezdxf/tracker.py
|
hh-wu/ezdxf
|
62509ba39b826ee9b36f19c0a5abad7f3518186a
|
[
"MIT"
] | 1
|
2020-04-28T17:52:26.000Z
|
2020-10-07T01:28:56.000Z
|
src/ezdxf/tracker.py
|
hh-wu/ezdxf
|
62509ba39b826ee9b36f19c0a5abad7f3518186a
|
[
"MIT"
] | 1
|
2021-07-31T05:08:12.000Z
|
2021-07-31T05:08:12.000Z
|
# Copyright (c) 2018 Manfred Moitzi
# License: MIT License
from typing import Set
class Tracker:
dxftypes = set() # type: Set[str] # track used DXF types
| 20.125
| 61
| 0.701863
| 23
| 161
| 4.913043
| 0.869565
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.031496
| 0.21118
| 161
| 7
| 62
| 23
| 0.858268
| 0.565217
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
13b7943c79a8fe937ff5e2e3db1cfd06c50c1461
| 91
|
py
|
Python
|
markovdp/apps.py
|
5g-media/ss-cno-teleimmersive-game
|
70fd71e17c005feb02e661f36bf4257817f91dde
|
[
"Apache-2.0"
] | null | null | null |
markovdp/apps.py
|
5g-media/ss-cno-teleimmersive-game
|
70fd71e17c005feb02e661f36bf4257817f91dde
|
[
"Apache-2.0"
] | null | null | null |
markovdp/apps.py
|
5g-media/ss-cno-teleimmersive-game
|
70fd71e17c005feb02e661f36bf4257817f91dde
|
[
"Apache-2.0"
] | null | null | null |
from django.apps import AppConfig
class MarkovdpConfig(AppConfig):
name = 'markovdp'
| 15.166667
| 33
| 0.758242
| 10
| 91
| 6.9
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.164835
| 91
| 5
| 34
| 18.2
| 0.907895
| 0
| 0
| 0
| 0
| 0
| 0.087912
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
13e3675dbe162f27ce89ac501b8bb4fdc9c0d15d
| 85
|
py
|
Python
|
Week01/Problem01/gwang_01.py
|
annap84/SkillsWorkshop2018
|
19cc76abd9b0ea15ee2823dd36698475b08b0217
|
[
"BSD-3-Clause"
] | 1
|
2020-04-18T03:30:46.000Z
|
2020-04-18T03:30:46.000Z
|
Week01/Problem01/gwang_01.py
|
annap84/SkillsWorkshop2018
|
19cc76abd9b0ea15ee2823dd36698475b08b0217
|
[
"BSD-3-Clause"
] | 21
|
2018-07-12T19:12:23.000Z
|
2018-08-10T13:52:45.000Z
|
Week01/Problem01/gwang_01.py
|
annap84/SkillsWorkshop2018
|
19cc76abd9b0ea15ee2823dd36698475b08b0217
|
[
"BSD-3-Clause"
] | 60
|
2018-05-08T16:59:20.000Z
|
2018-08-01T14:28:28.000Z
|
#gwang_01.py
j = 0
for i in range (1000):
if (i % 3) == 0 or (i%5) == 0: j+=i
j
| 12.142857
| 39
| 0.470588
| 21
| 85
| 1.857143
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.186441
| 0.305882
| 85
| 6
| 40
| 14.166667
| 0.474576
| 0.129412
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
b91d93c28564ac88f3b3c52cfab07d03b9512a82
| 110
|
py
|
Python
|
repos/system_upgrade/common/tags/thirdpartyapplications.py
|
sm00th/leapp-repository
|
1c171ec3a5f9260a3c6f84a9b15cad78a875ac61
|
[
"Apache-2.0"
] | 21
|
2018-11-20T15:58:39.000Z
|
2022-03-15T19:57:24.000Z
|
repos/system_upgrade/common/tags/thirdpartyapplications.py
|
sm00th/leapp-repository
|
1c171ec3a5f9260a3c6f84a9b15cad78a875ac61
|
[
"Apache-2.0"
] | 732
|
2018-11-21T18:33:26.000Z
|
2022-03-31T16:16:24.000Z
|
repos/system_upgrade/common/tags/thirdpartyapplications.py
|
sm00th/leapp-repository
|
1c171ec3a5f9260a3c6f84a9b15cad78a875ac61
|
[
"Apache-2.0"
] | 85
|
2018-11-20T17:55:00.000Z
|
2022-03-29T09:40:31.000Z
|
from leapp.tags import Tag
class ThirdPartyApplicationsPhaseTag(Tag):
name = 'third_party_applications'
| 18.333333
| 42
| 0.8
| 12
| 110
| 7.166667
| 0.916667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.136364
| 110
| 5
| 43
| 22
| 0.905263
| 0
| 0
| 0
| 0
| 0
| 0.218182
| 0.218182
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
b924254372c6fa9788708355bf2891de60bf1ed9
| 142
|
py
|
Python
|
packages/regression_model/regression_model/processing/errors.py
|
avkmal/deploying-machine-learning-models
|
096be274350dbe667319979cf4a9e3001d5405f5
|
[
"BSD-3-Clause"
] | 477
|
2019-02-14T11:24:29.000Z
|
2022-03-31T08:43:50.000Z
|
packages/regression_model/regression_model/processing/errors.py
|
avkmal/deploying-machine-learning-models
|
096be274350dbe667319979cf4a9e3001d5405f5
|
[
"BSD-3-Clause"
] | 51
|
2019-05-11T11:00:48.000Z
|
2021-12-08T14:50:33.000Z
|
packages/regression_model/regression_model/processing/errors.py
|
avkmal/deploying-machine-learning-models
|
096be274350dbe667319979cf4a9e3001d5405f5
|
[
"BSD-3-Clause"
] | 4,870
|
2019-01-20T11:04:50.000Z
|
2022-03-31T12:37:17.000Z
|
class BaseError(Exception):
"""Base package error."""
class InvalidModelInputError(BaseError):
"""Model input contains an error."""
| 20.285714
| 40
| 0.704225
| 14
| 142
| 7.142857
| 0.785714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.15493
| 142
| 6
| 41
| 23.666667
| 0.833333
| 0.352113
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
b94903a7ffd07dab8d104a95fd8f99f407d09e75
| 136
|
py
|
Python
|
env/lib/python3.6/site-packages/jet/admin.py
|
anthowen/duplify
|
846d01c1b21230937fdf0281b0cf8c0b08a8c24e
|
[
"MIT"
] | 2
|
2019-12-04T16:24:44.000Z
|
2020-04-06T21:49:34.000Z
|
env/lib/python3.6/site-packages/jet/admin.py
|
anthowen/duplify
|
846d01c1b21230937fdf0281b0cf8c0b08a8c24e
|
[
"MIT"
] | 21
|
2021-02-04T01:37:44.000Z
|
2022-03-12T01:00:55.000Z
|
env/lib/python3.6/site-packages/jet/admin.py
|
anthowen/duplify
|
846d01c1b21230937fdf0281b0cf8c0b08a8c24e
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
class CompactInline(admin.options.InlineModelAdmin):
template = 'admin/edit_inline/compact.html'
| 22.666667
| 52
| 0.801471
| 16
| 136
| 6.75
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.110294
| 136
| 5
| 53
| 27.2
| 0.892562
| 0
| 0
| 0
| 0
| 0
| 0.220588
| 0.220588
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
b95a7ac33f7ad5314903b29b4eca6e3fc22ec006
| 525
|
py
|
Python
|
apps/qolsysgw/qolsys/exceptions.py
|
kevin-david/qolsysgw
|
dbeb93aa9466b2d4f9c6c89417f2966fc9e9676d
|
[
"MIT"
] | 11
|
2021-12-30T04:16:09.000Z
|
2022-03-19T16:26:22.000Z
|
apps/qolsysgw/qolsys/exceptions.py
|
kevin-david/qolsysgw
|
dbeb93aa9466b2d4f9c6c89417f2966fc9e9676d
|
[
"MIT"
] | 19
|
2022-01-01T01:54:02.000Z
|
2022-03-29T20:33:36.000Z
|
apps/qolsysgw/qolsys/exceptions.py
|
kevin-david/qolsysgw
|
dbeb93aa9466b2d4f9c6c89417f2966fc9e9676d
|
[
"MIT"
] | 1
|
2022-02-27T20:42:16.000Z
|
2022-02-27T20:42:16.000Z
|
class QolsysException(Exception):
pass
class QolsysGwConfigIncomplete(QolsysException):
pass
class QolsysGwConfigError(QolsysException):
pass
class UnableToParseEventException(QolsysException):
pass
class UnknownQolsysControlException(QolsysException):
pass
class UnknownQolsysEventException(QolsysException):
pass
class UnknownQolsysSensorException(QolsysException):
pass
class MissingUserCodeException(QolsysException):
pass
class InvalidUserCodeException(QolsysException):
pass
| 19.444444
| 53
| 0.813333
| 36
| 525
| 11.861111
| 0.333333
| 0.168618
| 0.393443
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.135238
| 525
| 26
| 54
| 20.192308
| 0.940529
| 0
| 0
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
| 0
| 0
| 0.5
| 0
| 0
| 0
| 1
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
b95bca6fd7ef748c2ad3f94f620c5af793e339d4
| 5,606
|
py
|
Python
|
raam/examples/inventory/configuration.py
|
marekpetrik/RAAM
|
a8020629f98b951ee581ff3f9c3be96af74ede01
|
[
"MIT"
] | 10
|
2015-09-28T14:41:12.000Z
|
2021-03-29T16:35:29.000Z
|
raam/examples/inventory/configuration.py
|
rlsquared/RAAM
|
a8020629f98b951ee581ff3f9c3be96af74ede01
|
[
"MIT"
] | null | null | null |
raam/examples/inventory/configuration.py
|
rlsquared/RAAM
|
a8020629f98b951ee581ff3f9c3be96af74ede01
|
[
"MIT"
] | 5
|
2015-09-26T20:01:49.000Z
|
2018-07-05T08:17:25.000Z
|
"""
Global configuration for the problem settings
"""
import numpy as np
from scipy import stats
horizon = 300
runs = 40
DefaultConfiguration = {
"price_buy" : [1.2,2.1,3.3],
"price_sell" : [1,2,3],
"price_probabilities" : np.array([[0.8, 0.1, 0.1],[0.1, 0.8, 0.1],[0.1, 0.1, 0.8]]),
"initial_capacity" : 1,
"initial_inventory" : 0.5,
"degradation" : {"fun":"polynomial","charge":[0.0,0,0.01],
"discharge":[0.01,-0.02,0.01] },
"capacity_cost" : 1,
"change_capacity" : False # assume that the capacity does not change
}
def construct_martingale(prices, variance):
"""
Constructs a definitions with a martingale definition of transition probabilities.
The change in price is modeled as a normal distribution with zero mean and
the specified variance.
The capacity of the battery does in fact change
Parameters
----------
prices : array
**Sell** prices that correspond to states in the Martingale price state
process. **Buy** prices are 10% higher.
variance : float
Variance of the normal distribution
Returns
-------
out : dict
Configuration that corresponds to the martingale
"""
states = len(prices)
# defines over how many states the probability is spread over
spread = min(5,states-1)
if type(prices) is not np.ndarray:
prices = np.array(prices)
# relative transition probabilities
p = stats.norm(0,variance).pdf(np.arange(-spread,spread+1))
p = p / p.sum()
# add extra 0s to both ends of p
p = np.concatenate((np.zeros(states-spread-1), p, np.zeros(states-spread-1)))
P = [p[states-i-1:2*states-i-1] for i in range(states)]
P = np.array(P)
P = np.diag(1/P.sum(1)).dot(P)
configuration = {
"price_buy" : 1.1 * prices,
"price_sell" : prices,
"price_probabilities" : P,
"initial_capacity" : 1,
"initial_inventory" : 0.5,
"degradation" : {"fun":"polynomial","charge":[0.0,0,0.01],
"discharge":[0.01,0.02,0.01] },
"capacity_cost" : 1,
"change_capacity" : True # assume that the capacity does not change
}
return configuration
def construct_massdata(degrade):
"""
Returns a problem definition on what is described in the experimental
section of the paper
This uses a simple uniform quantization of energy prices
Paramaters
----------
degrade : bool
Whether the battery degrades
"""
prices = np.array([25.0, 50.0, 75.0, 100.0, 125.0, 150.0, 175.0, 200.0, 250.0, 300.0])
P = np.array([[ 8.15584416e-01, 1.76623377e-01, 5.19480519e-03,
2.59740260e-03, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00],
[ 4.70114171e-02, 8.72397582e-01, 7.25319006e-02,
7.38750839e-03, 0.00000000e+00, 6.71591672e-04,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00],
[ 1.19904077e-03, 1.31894484e-01, 7.79376499e-01,
6.95443645e-02, 1.43884892e-02, 3.59712230e-03,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00],
[ 0.00000000e+00, 4.24528302e-02, 2.83018868e-01,
5.14150943e-01, 1.22641509e-01, 2.35849057e-02,
9.43396226e-03, 0.00000000e+00, 0.00000000e+00,
4.71698113e-03],
[ 0.00000000e+00, 2.15053763e-02, 9.67741935e-02,
2.68817204e-01, 4.30107527e-01, 1.29032258e-01,
4.30107527e-02, 1.07526882e-02, 0.00000000e+00,
0.00000000e+00],
[ 0.00000000e+00, 0.00000000e+00, 3.22580645e-02,
2.58064516e-01, 3.54838710e-01, 1.93548387e-01,
9.67741935e-02, 6.45161290e-02, 0.00000000e+00,
0.00000000e+00],
[ 0.00000000e+00, 7.14285714e-02, 1.42857143e-01,
0.00000000e+00, 7.14285714e-02, 2.14285714e-01,
2.85714286e-01, 1.42857143e-01, 7.14285714e-02,
0.00000000e+00],
[ 0.00000000e+00, 0.00000000e+00, 1.42857143e-01,
0.00000000e+00, 2.85714286e-01, 0.00000000e+00,
0.00000000e+00, 2.85714286e-01, 2.85714286e-01,
0.00000000e+00],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 2.50000000e-01, 2.50000000e-01,
2.50000000e-01, 0.00000000e+00, 2.50000000e-01,
0.00000000e+00],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
1.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00]])
if degrade:
degradation = {"fun":"polynomial","charge" : [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00142857142857143],
"discharge" : [0.0, 0.00500000000000000, -0.00750000000000000, 0.00500000000000000, -0.00125000000000000] }
else:
degradation = {"fun":"polynomial","charge" : [0.0],
"discharge" : [0.0] }
configuration = {
"price_buy" : 1.05 * prices,
"price_sell" : 0.95 * prices,
"price_probabilities" : P,
"initial_capacity" : 1,
"initial_inventory" : 0.5,
"degradation" : degradation,
"capacity_cost" : 20000,
"change_capacity" : True
}
return configuration
| 36.881579
| 131
| 0.571887
| 748
| 5,606
| 4.255348
| 0.258021
| 0.172793
| 0.184731
| 0.224317
| 0.393968
| 0.393968
| 0.32705
| 0.296576
| 0.28715
| 0.272699
| 0
| 0.337594
| 0.288263
| 5,606
| 151
| 132
| 37.125828
| 0.46015
| 0.180164
| 0
| 0.329897
| 0
| 0
| 0.099148
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.020619
| false
| 0
| 0.020619
| 0
| 0.061856
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
b97da341378a0e7a5adfe6054bb84f3cc67bb9e3
| 286
|
py
|
Python
|
mne/datasets/__init__.py
|
joewalter/mne-python
|
b0629bea7f5e8e94d9e2e889f45a35f9657e6dbc
|
[
"BSD-3-Clause"
] | null | null | null |
mne/datasets/__init__.py
|
joewalter/mne-python
|
b0629bea7f5e8e94d9e2e889f45a35f9657e6dbc
|
[
"BSD-3-Clause"
] | null | null | null |
mne/datasets/__init__.py
|
joewalter/mne-python
|
b0629bea7f5e8e94d9e2e889f45a35f9657e6dbc
|
[
"BSD-3-Clause"
] | null | null | null |
"""Demo datasets
"""
from . import brainstorm
from . import eegbci
from . import megsim
from . import misc
from . import sample
from . import somato
from . import multimodal
from . import spm_face
from . import testing
from . import _fake
from .utils import _download_all_example_data
| 19.066667
| 45
| 0.772727
| 40
| 286
| 5.375
| 0.5
| 0.465116
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.167832
| 286
| 14
| 46
| 20.428571
| 0.903361
| 0.045455
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
b982aaef07d2748659ab4f8ce0b8ddebd158b1ef
| 28
|
py
|
Python
|
tests/__init__.py
|
ssaenger/ws66i
|
052fc06d97addf236d6712ebd7d6bb4842fced99
|
[
"MIT"
] | null | null | null |
tests/__init__.py
|
ssaenger/ws66i
|
052fc06d97addf236d6712ebd7d6bb4842fced99
|
[
"MIT"
] | null | null | null |
tests/__init__.py
|
ssaenger/ws66i
|
052fc06d97addf236d6712ebd7d6bb4842fced99
|
[
"MIT"
] | 2
|
2021-11-09T09:11:22.000Z
|
2022-02-18T21:46:36.000Z
|
""" Init file for tests """
| 14
| 27
| 0.571429
| 4
| 28
| 4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.214286
| 28
| 1
| 28
| 28
| 0.727273
| 0.678571
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
b9b23b26988e8c4b0e798b42d16118eeb608bb5b
| 209
|
py
|
Python
|
rmf_fleet_adapter_python/scripts/test_adapter.py
|
Capstone-S13/rmf_ros2
|
66721dd2ab5a458c050bad154c6a17d8e4b5c8f4
|
[
"Apache-2.0"
] | null | null | null |
rmf_fleet_adapter_python/scripts/test_adapter.py
|
Capstone-S13/rmf_ros2
|
66721dd2ab5a458c050bad154c6a17d8e4b5c8f4
|
[
"Apache-2.0"
] | null | null | null |
rmf_fleet_adapter_python/scripts/test_adapter.py
|
Capstone-S13/rmf_ros2
|
66721dd2ab5a458c050bad154c6a17d8e4b5c8f4
|
[
"Apache-2.0"
] | null | null | null |
#!/usr/bin/env python3
import test_delivery
import test_loop
import test_interrupt
def main():
test_delivery.main()
test_loop.main()
test_interrupt.main()
if __name__ == "__main__":
main()
| 13.933333
| 26
| 0.703349
| 28
| 209
| 4.75
| 0.464286
| 0.225564
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005848
| 0.181818
| 209
| 14
| 27
| 14.928571
| 0.77193
| 0.100478
| 0
| 0
| 0
| 0
| 0.042781
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.111111
| true
| 0
| 0.333333
| 0
| 0.444444
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
b9bfeeaa911a4a90d16a45cb26658de53de8c1ec
| 1,573
|
py
|
Python
|
test/test_backups_api.py
|
hi-artem/twistlock-py
|
9888e905f5b9d3cc00f9b84244588c0992f8e4f4
|
[
"RSA-MD"
] | null | null | null |
test/test_backups_api.py
|
hi-artem/twistlock-py
|
9888e905f5b9d3cc00f9b84244588c0992f8e4f4
|
[
"RSA-MD"
] | null | null | null |
test/test_backups_api.py
|
hi-artem/twistlock-py
|
9888e905f5b9d3cc00f9b84244588c0992f8e4f4
|
[
"RSA-MD"
] | null | null | null |
# coding: utf-8
"""
Prisma Cloud Compute API
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
The version of the OpenAPI document: 21.04.439
Generated by: https://openapi-generator.tech
"""
from __future__ import absolute_import
import unittest
import openapi_client
from openapi_client.api.backups_api import BackupsApi # noqa: E501
from openapi_client.rest import ApiException
class TestBackupsApi(unittest.TestCase):
"""BackupsApi unit test stubs"""
def setUp(self):
self.api = openapi_client.api.backups_api.BackupsApi() # noqa: E501
def tearDown(self):
pass
def test_api_v1_backups_get(self):
"""Test case for api_v1_backups_get
"""
pass
def test_api_v1_backups_id_delete(self):
"""Test case for api_v1_backups_id_delete
"""
pass
def test_api_v1_backups_id_get(self):
"""Test case for api_v1_backups_id_get
"""
pass
def test_api_v1_backups_id_patch(self):
"""Test case for api_v1_backups_id_patch
"""
pass
def test_api_v1_backups_id_post(self):
"""Test case for api_v1_backups_id_post
"""
pass
def test_api_v1_backups_id_restore_post(self):
"""Test case for api_v1_backups_id_restore_post
"""
pass
def test_api_v1_backups_post(self):
"""Test case for api_v1_backups_post
"""
pass
if __name__ == '__main__':
unittest.main()
| 20.697368
| 124
| 0.662428
| 210
| 1,573
| 4.580952
| 0.290476
| 0.072765
| 0.174636
| 0.14553
| 0.509356
| 0.432432
| 0.393971
| 0.283784
| 0.068607
| 0
| 0
| 0.026451
| 0.254927
| 1,573
| 75
| 125
| 20.973333
| 0.794369
| 0.403687
| 0
| 0.307692
| 1
| 0
| 0.009174
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.346154
| false
| 0.307692
| 0.192308
| 0
| 0.576923
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
b9d5b4144671f77e74b51dfd79b049eb9f4d15fc
| 1,892
|
py
|
Python
|
sdk/python/pulumi_azure/compute/__init__.py
|
henriktao/pulumi-azure
|
f1cbcf100b42b916da36d8fe28be3a159abaf022
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
sdk/python/pulumi_azure/compute/__init__.py
|
henriktao/pulumi-azure
|
f1cbcf100b42b916da36d8fe28be3a159abaf022
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
sdk/python/pulumi_azure/compute/__init__.py
|
henriktao/pulumi-azure
|
f1cbcf100b42b916da36d8fe28be3a159abaf022
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
from .. import _utilities
import typing
# Export this package's modules as members:
from .availability_set import *
from .bastion_host import *
from .configuration_policy_assignment import *
from .data_disk_attachment import *
from .dedicated_host import *
from .dedicated_host_group import *
from .disk_access import *
from .disk_encryption_set import *
from .disk_pool import *
from .disk_pool_iscsi_target import *
from .disk_pool_iscsi_target_lun import *
from .disk_pool_managed_disk_attachment import *
from .extension import *
from .get_availability_set import *
from .get_dedicated_host import *
from .get_dedicated_host_group import *
from .get_disk_access import *
from .get_disk_encryption_set import *
from .get_image import *
from .get_images import *
from .get_managed_disk import *
from .get_platform_image import *
from .get_shared_image import *
from .get_shared_image_gallery import *
from .get_shared_image_version import *
from .get_shared_image_versions import *
from .get_snapshot import *
from .get_ssh_public_key import *
from .get_virtual_machine import *
from .get_virtual_machine_scale_set import *
from .image import *
from .linux_virtual_machine import *
from .linux_virtual_machine_scale_set import *
from .managed_disk import *
from .orchestrated_virtual_machine_scale_set import *
from .scale_set import *
from .shared_image import *
from .shared_image_gallery import *
from .shared_image_version import *
from .snapshot import *
from .ssh_public_key import *
from .virtual_machine import *
from .virtual_machine_scale_set_extension import *
from .windows_virtual_machine import *
from .windows_virtual_machine_scale_set import *
from ._inputs import *
from . import outputs
| 34.4
| 87
| 0.811311
| 276
| 1,892
| 5.217391
| 0.278986
| 0.319444
| 0.153472
| 0.076389
| 0.466667
| 0.165972
| 0
| 0
| 0
| 0
| 0
| 0.000604
| 0.124736
| 1,892
| 54
| 88
| 35.037037
| 0.868961
| 0.115751
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
6a138e2055dedd4c60063a6328c8d2dd9380d07e
| 81
|
py
|
Python
|
akamodel/errors.py
|
jjyr/akamodel
|
84ff7eee4f018d2eef1987f004a1f5b0924d90d2
|
[
"Apache-2.0"
] | null | null | null |
akamodel/errors.py
|
jjyr/akamodel
|
84ff7eee4f018d2eef1987f004a1f5b0924d90d2
|
[
"Apache-2.0"
] | null | null | null |
akamodel/errors.py
|
jjyr/akamodel
|
84ff7eee4f018d2eef1987f004a1f5b0924d90d2
|
[
"Apache-2.0"
] | null | null | null |
class BaseError(Exception):
pass
class RecordNotFound(BaseError):
pass
| 11.571429
| 32
| 0.728395
| 8
| 81
| 7.375
| 0.625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.197531
| 81
| 6
| 33
| 13.5
| 0.907692
| 0
| 0
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
| 0
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
6a36b94e3480eb8019c361baca1d77d06e6bcb72
| 72
|
py
|
Python
|
genfigs/__init__.py
|
ehsanfar/Network_Auctioneer
|
802f10b27d4f6f5fd9d5434f30814f2175236479
|
[
"Apache-2.0"
] | 2
|
2018-05-16T16:01:21.000Z
|
2019-07-27T13:31:17.000Z
|
genfigs/__init__.py
|
ehsanfar/Network_Auctioneer
|
802f10b27d4f6f5fd9d5434f30814f2175236479
|
[
"Apache-2.0"
] | null | null | null |
genfigs/__init__.py
|
ehsanfar/Network_Auctioneer
|
802f10b27d4f6f5fd9d5434f30814f2175236479
|
[
"Apache-2.0"
] | null | null | null |
"""
Copyright 2018 abbas ehsanfar
"""
"""
genfigs: generate figures
"""
| 10.285714
| 29
| 0.666667
| 7
| 72
| 6.857143
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.065574
| 0.152778
| 72
| 7
| 30
| 10.285714
| 0.721311
| 0.402778
| 0
| null | 1
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
6a398eb2b99bb2dd9e37344cddf2ae512992607b
| 912
|
py
|
Python
|
sped_correcao/_old/rule08.py
|
teocrono/scripts
|
2970192e3184c9e1d3dd67390e544d767b809c23
|
[
"MIT"
] | null | null | null |
sped_correcao/_old/rule08.py
|
teocrono/scripts
|
2970192e3184c9e1d3dd67390e544d767b809c23
|
[
"MIT"
] | null | null | null |
sped_correcao/_old/rule08.py
|
teocrono/scripts
|
2970192e3184c9e1d3dd67390e544d767b809c23
|
[
"MIT"
] | null | null | null |
## Para operações de saída, o CST deve ser preenchido com os valores de 01 a 49 ou 99.
##
##
def exec(conexao):
cursor = conexao.cursor()
print("RULE 08 - Inicializando",end=' ')
update = " UPDATE principal SET "
update = update + " r2 = \"49\" "
update = update + " WHERE 1=1 "
update = update + " and r1 = \"C181\" "
update = update + " and r2 in (\"00\",\"99\") "
update = update + " and r3 in (\"5152\",\"5102\") "
cursor.execute(update)
conexao.commit()
print('-',end=' ')
update = " UPDATE principal SET "
update = update + " r2 = \"49\" "
update = update + " WHERE 1=1 "
update = update + " and r1 = \"C185\" "
update = update + " and r2 in (\"00\",\"99\") "
update = update + " and r3 in (\"5152\",\"5102\") "
cursor.execute(update)
conexao.commit()
print('-',end=' ')
print("Finalizado")
| 29.419355
| 86
| 0.525219
| 109
| 912
| 4.394495
| 0.40367
| 0.300626
| 0.187891
| 0.100209
| 0.699374
| 0.699374
| 0.699374
| 0.699374
| 0.699374
| 0.699374
| 0
| 0.083205
| 0.288377
| 912
| 31
| 87
| 29.419355
| 0.654854
| 0.091009
| 0
| 0.727273
| 0
| 0
| 0.287454
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.045455
| false
| 0
| 0
| 0
| 0.045455
| 0.181818
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
6a4c6c00d40ccdf36a5f1d308935ebdbe1193e5f
| 607
|
py
|
Python
|
models/model_3/model_3.py
|
tangmingsh/image_classifier
|
22e995e5dd23f5352a899b3bfd57fda50326fd8a
|
[
"MIT"
] | 175
|
2018-11-12T03:11:35.000Z
|
2022-03-25T04:35:17.000Z
|
models/model_3/model_3.py
|
tangmingsh/image_classifier
|
22e995e5dd23f5352a899b3bfd57fda50326fd8a
|
[
"MIT"
] | 3
|
2019-07-12T10:59:12.000Z
|
2021-06-28T05:50:56.000Z
|
models/model_3/model_3.py
|
tangmingsh/image_classifier
|
22e995e5dd23f5352a899b3bfd57fda50326fd8a
|
[
"MIT"
] | 115
|
2018-11-25T17:33:09.000Z
|
2022-03-17T10:07:43.000Z
|
model = Sequential()
model.add(Conv2D(32, (3, 3), input_shape=input_shape))
model.add(Activation('relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))
model.add(Conv2D(64, (3, 3)))
model.add(Activation('relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))
model.add(Conv2D(128, (3, 3)))
model.add(Activation('relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))
model.add(Flatten())
model.add(Dense(64))
model.add(Activation('relu'))
model.add(Dense(1))
model.add(Activation('sigmoid'))
model.compile(loss='binary_crossentropy',
optimizer='rmsprop',
metrics=['accuracy'])
| 26.391304
| 55
| 0.672158
| 85
| 607
| 4.729412
| 0.329412
| 0.278607
| 0.223881
| 0.218905
| 0.562189
| 0.562189
| 0.487562
| 0.487562
| 0.487562
| 0.487562
| 0
| 0.052533
| 0.121911
| 607
| 23
| 56
| 26.391304
| 0.701689
| 0
| 0
| 0.388889
| 0
| 0
| 0.09375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.