xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

7534cc247cdd257c75cdcb6703e6ed88916ebebf

157

py

Python

_test_project/posts/moder.py

mpyatishev/djmoderator

0d532bef4b40cecbcc297f0cda1dc0aeba3d676c

[ "MIT" ]

null

_test_project/posts/moder.py

mpyatishev/djmoderator

0d532bef4b40cecbcc297f0cda1dc0aeba3d676c

[ "MIT" ]

null

_test_project/posts/moder.py

mpyatishev/djmoderator

0d532bef4b40cecbcc297f0cda1dc0aeba3d676c

[ "MIT" ]

null

# -*- coding: utf-8 -*- from moderator import moderator from models import Post, PostWithImage moderator.register(Post) moderator.register(PostWithImage)

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754c55f2b2bf4d512d371deb4909cfe1701d826f

381

py

Python

service/espnet/test_model.py

airenas/espnet-tts-serving

2588f91f6a088df1ada8c36cdbd18c36ee3dab07

[ "BSD-3-Clause" ]

5

2020-11-17T08:06:26.000Z

2022-02-12T07:55:34.000Z

service/espnet/test_model.py

airenas/espnet-tts-serving

2588f91f6a088df1ada8c36cdbd18c36ee3dab07

[ "BSD-3-Clause" ]

null

service/espnet/test_model.py

airenas/espnet-tts-serving

2588f91f6a088df1ada8c36cdbd18c36ee3dab07

[ "BSD-3-Clause" ]

1

2021-06-22T00:40:13.000Z

from service.espnet.model import check_alpha def test_alpha(): assert check_alpha(None) == 1 assert check_alpha(0) == 1 assert check_alpha(0.2) == 0.2 assert check_alpha(0.999) == 0.999 assert check_alpha(2) == 2 assert check_alpha(2, None) == 2 assert check_alpha(2, 10) == 1 assert check_alpha(2, 0.5) == 1 assert check_alpha(1, 1.5) == 1.5

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755a0ce16e883f553ef2a52d4de02960e560cde5

113

py

Python

armstrong/core/arm_wells/tests/__init__.py

cirlabs/armstrong.core.arm_wells

2b2f29de1a5896369723ff531d5b1fbad1414ea2

[ "Apache-2.0" ]

3

2015-03-18T13:36:38.000Z

2021-11-17T11:02:46.000Z

armstrong/core/arm_wells/tests/__init__.py

cirlabs/armstrong.core.arm_wells

2b2f29de1a5896369723ff531d5b1fbad1414ea2

[ "Apache-2.0" ]

1

2019-01-14T19:55:17.000Z

armstrong/core/arm_wells/tests/__init__.py

cirlabs/armstrong.core.arm_wells

2b2f29de1a5896369723ff531d5b1fbad1414ea2

[ "Apache-2.0" ]

null

from .managers import * from .models import * from .query import * from .querysets import * from .views import *

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5

f332c252495e5b851e3d6927f88b986a7fd1bcf9

168

py

Python

SchoolApp/apps/home/admin.py

Ceres445/Team-10-Python-Project

8a97642f019548d137dff564f9fdcc8f92761cc8

[ "MIT" ]

4

2021-06-25T04:17:08.000Z

2022-02-13T14:48:38.000Z

SchoolApp/apps/home/admin.py

Ceres445/Team-10-Python-Project

8a97642f019548d137dff564f9fdcc8f92761cc8

[ "MIT" ]

20

2021-07-05T08:59:41.000Z

2022-02-07T02:06:33.000Z

SchoolApp/apps/home/admin.py

Ceres445/Team-10-Python-Project

8a97642f019548d137dff564f9fdcc8f92761cc8

[ "MIT" ]

1

2021-07-22T07:38:00.000Z

from django.contrib import admin # Register your models here. from apps.home.models import Profile, Classes admin.site.register(Profile) admin.site.register(Classes)

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f3490f9501a95e02d7f08d1103c070ea7a58f679

33,227

py

Python

pkgs/sdk-pkg/src/genie/libs/sdk/triggers/modify/vxlan/nxos/modify.py

kecorbin/genielibs

5d3951b8911013691822e73e9c3d0f557ca10f43

[ "Apache-2.0" ]

null

pkgs/sdk-pkg/src/genie/libs/sdk/triggers/modify/vxlan/nxos/modify.py

kecorbin/genielibs

5d3951b8911013691822e73e9c3d0f557ca10f43

[ "Apache-2.0" ]

null

pkgs/sdk-pkg/src/genie/libs/sdk/triggers/modify/vxlan/nxos/modify.py

kecorbin/genielibs

5d3951b8911013691822e73e9c3d0f557ca10f43

[ "Apache-2.0" ]

null

'''Implementation for vxlan modify triggers''' import socket, struct import logging import re # Genie Libs from genie.libs.sdk.libs.utils.mapping import Mapping from genie.libs.sdk.triggers.modify.modify import TriggerModify from genie.libs.sdk.libs.utils.triggeractions import Configure from functools import partial from genie.libs.conf.base import IPv4Address from ats import aetest # Which key to exclude for VXLAN Ops comparison vxlan_exclude = ['maker', 'uptime','up_time'] interface_exclude = ['maker', 'last_change','in_rate','in_rate_pkts', 'out_rate', 'out_rate_pkts', 'in_octets', 'in_pkts', 'in_unicast_pkts', 'out_octets', 'out_pkts', 'out_unicast_pkts', 'out_multicast_pkts', 'in_multicast_pkts', 'last_clear', 'in_broadcast_pkts', 'out_broadcast_pkts'] multisite_exclude = ['multisite_bgw_if', 'multisite_bgw_if_admin_state', 'multisite_bgw_if_ip', 'multisite_bgw_if_oper_state', 'multisite_bgw_if_oper_state_down_reason', 'vip_rmac_ro'] vxlan_base_exclude = ['maker','uptime','up_time'] log = logging.getLogger(__name__) class TriggerModifyNveMultisiteBgwInterface(TriggerModify): """Modify and revert the multisite bgw interface dynamically learned vxlan(s).""" __description__ = """Modify and revert the multisite bgw interface dynamically learned vxlan(s). trigger_datafile: Mandatory: timeout: max_time (`int`): Maximum wait time for the trigger, in second. Default: 180 interval (`int`): Wait time between iteration when looping is needed, in second. Default: 15 method (`str`): Method to recover the device configuration, Support methods: 'checkpoint': Rollback the configuration by checkpoint (nxos), archive file (iosxe), load the saved running-config file on disk (iosxr) Optional: tgn_timeout (`int`): Maximum wait time for all traffic threads to be restored to the reference rate, in second. Default: 60 tgn_delay (`int`): Wait time between each poll to verify if traffic is resumed, in second. Default: 10 timeout_recovery: Buffer recovery timeout make sure devices are recovered at the end of the trigger execution. Used when previous timeouts have been exhausted. max_time (`int`): Maximum wait time for the last step of the trigger, in second. Default: 180 interval (`int`): Wait time between iteration when looping is needed, in second. Default: 15 steps: 1. Learn Vxlan Ops object and store the vni state which is active and has source interface and multisite bgw interface. SKIP the trigger if there is no VXLAN(s) found 2. Save the current device configurations through "method" which user uses 3. Modify the multisite bgw interface of the learned VXLAN from step 1 with Interface Conf object 4. Verify the multisite bgw interface of the learned VXLAN group(s) from step 3 changes to the modified value in step 3. 5. Recover the device configurations to the one in step 2 6. Learn VXLAN Ops again and verify it is the same as the Ops in step 1 """ # configuration steps callable # adding new value for multisite bgw interface def configure_multisite_bgw_interface(self, conf_obj, **kwargs): ret = "" for key in self.keys: if key['intf_name']!= key['source_if'] \ and key['intf_name'] != key['multisite_bgw_if']: ret = key['intf_name'] if ret: self.keys[0]['multisite_bgw_intf'] = ret conf_obj.nve_multisite_bgw_intf = ret conf_obj.build_config() else: self.failed('Failed to find the ' 'attribute', from_exception=self.keys) @aetest.test def verify_configuration(self, uut, abstract, steps): # modify self.keys to modify the multisite bgw interface value for item in self.mapping.keys: try: ret = item['multisite_bgw_intf'] req = ['nve', '(?P<nve_name>.*)', 'multisite_bgw_if'] req.insert(len(req), ret) self.mapping._verify_ops_dict['ops.vxlan.vxlan.Vxlan']['requirements'].append(req) log.info("\n\nVerifying the following requirements: {req}".format(req=req)) except Exception as e: self.failed('Failed to verify the ' 'added feature', from_exception=e) super().verify_configuration(uut, abstract, steps) mapping = Mapping(requirements={'ops.vxlan.vxlan.Vxlan': { 'requirements': [['nve', '(?P<nve_name>.*)', 'source_if', '(?P<source_if>.*)'], ['nve', '(?P<nve_name>.*)', 'multisite_bgw_if', '(?P<multisite_bgw_if>.*)'], ['nve', '(?P<nve_name>.*)', 'vni', '(?P<vni>.*)', 'vni_state', 'up']], 'all_keys': True, 'kwargs': {'attributes': ['nve[(.*)][vni][(.*)]', 'nve[(.*)][source_if]', 'nve[(.*)][multisite_bgw_if]','l2route']}, 'exclude': vxlan_exclude +['peer_id','tx_id']}, 'ops.interface.interface.Interface': { 'requirements': [['info', '(?P<intf_name>loopback.*)', 'oper_status', 'up']], 'kwargs': {'attributes': ['info']}, 'exclude': interface_exclude}}, config_info={'conf.interface.Interface': { 'requirements': [[partial(configure_multisite_bgw_interface, \ nve_multisite_bgw_intf='(?P<source_if>.*)')]], 'verify_conf': False, 'kwargs': {'mandatory': {'name': '(?P<nve_name>.*)', 'attach': False}}}}, verify_ops={'ops.vxlan.vxlan.Vxlan': { 'requirements': [['nve', '(?P<nve_name>.*)', 'vni', '(?P<vni>.*)', 'vni_state', 'down']], 'kwargs': {'attributes': ['nve[(.*)][vni][(.*)]', 'nve[(.*)][source_if]', 'nve[(.*)][multisite_bgw_if]','l2route']}, 'exclude': vxlan_exclude + multisite_exclude +['l2route']}}, num_values={'nve_name': 'all', 'source_if': 'all', 'intf_name': 'all'}) class TriggerModifyNveVniMcastGroup(TriggerModify): """Modify and revert the mcast group dynamically learned vxlan(s).""" __description__ = """Modify and revert the mcast group dynamically learned vxlan(s). trigger_datafile: Mandatory: timeout: max_time (`int`): Maximum wait time for the trigger, in second. Default: 180 interval (`int`): Wait time between iteration when looping is needed, in second. Default: 15 method (`str`): Method to recover the device configuration, Support methods: 'checkpoint': Rollback the configuration by checkpoint (nxos), archive file (iosxe), load the saved running-config file on disk (iosxr) Optional: tgn_timeout (`int`): Maximum wait time for all traffic threads to be restored to the reference rate, in second. Default: 60 tgn_delay (`int`): Wait time between each poll to verify if traffic is resumed, in second. Default: 10 timeout_recovery: Buffer recovery timeout make sure devices are recovered at the end of the trigger execution. Used when previous timeouts have been exhausted. max_time (`int`): Maximum wait time for the last step of the trigger, in second. Default: 180 interval (`int`): Wait time between iteration when looping is needed, in second. Default: 15 steps: 1. Learn Vxlan Ops object and store the vni state which is active. SKIP the trigger if there is no VXLAN(s) found 2. Save the current device configurations through "method" which user uses 3. Modify the mcast group of the learned VXLAN from step 1 with Interface Conf object 4. Verify the mcast group of the learned VXLAN(s) from step 3 changes to the modified value in step 3. 5. Recover the device configurations to the one in step 2 6. Learn VXLAN Ops again and verify it is the same as the Ops in step 1 """ # configuration steps callable # adding new value for mcast group def configure_mcast_group(self, conf_obj, **kwargs): for x in self.__dict__['keys']: mcast_group = IPv4Address(x['mcast']) mcast_group_value = mcast_group.__dict__['_ip']+1 t = struct.pack("!L", mcast_group_value) new_mcast_group = socket.inet_ntoa(t) self.keys[0]['mcast'] = new_mcast_group conf_obj.nve_vni_mcast_group = new_mcast_group conf_obj.build_config() @aetest.test def verify_modification(self, uut, abstract, steps): # modify self.keys to modify the mcast group value for item in self.mapping.keys: try: ret = item['mcast'] req = ['nve', '(?P<nve_name>.*)', 'vni', '(?P<nve_vni>.*)', 'mcast'] req.insert(len(req),ret) self.mapping._verify_ops_dict['ops.vxlan.vxlan.Vxlan']['requirements'].append(req) except Exception as e: log.warning('Cannot modify mcast group information.' 'Mismatch is expected {}'.format(e)) super().verify_modification(uut, abstract, steps) # Mapping of Information between Ops and Conf # Also permit to dictates which key to verify mapping = Mapping(requirements={'ops.vxlan.vxlan.Vxlan':{ 'requirements':[['nve','(?P<nve_name>.*)','vni','(?P<nve_vni>.*)','mcast','(?P<mcast>[\d+\.\d+\.\d+\.\d+].*)'], ['nve','(?P<nve_name>.*)','vni','(?P<nve_vni>.*)','vni_state','up']], 'kwargs':{'attributes':['nve[(.*)][vni][(.*)][mcast]', 'nve[(.*)][vni][(.*)][vni_state]']}, 'all_keys': True, 'exclude': vxlan_base_exclude}}, config_info={'conf.interface.Interface': { 'requirements':[[partial(configure_mcast_group, mcast='(?P<mcast>.*)')]], 'verify_conf':False, 'kwargs': {'mandatory': {'name': '(?P<nve_name>.*)', 'nve_vni': '(?P<nve_vni>.*)', 'nve_vni_associate_vrf': False, 'attach': False}}}}, verify_ops={'ops.vxlan.vxlan.Vxlan':{ 'requirements':[['nve', '(?P<nve_name>.*)', 'vni', '(?P<nve_vni>.*)', 'vni_state', 'up']], 'kwargs':{'attributes':['nve[(.*)][vni][(.*)][mcast]', 'nve[(.*)][vni][(.*)][vni_state]']}, 'exclude': vxlan_base_exclude}}, num_values={'nve_name':1 ,'nve_vni':1}) class TriggerModifyEvpnMsiteBgwDelayRestoreTime(TriggerModify): """Modify and revert the msite bgw delay restore time dynamically learned vxlan(s).""" __description__ = """Modify and revert the multisite bgw delay restore time dynamically learned vxlan(s). trigger_datafile: Mandatory: timeout: max_time (`int`): Maximum wait time for the trigger, in second. Default: 180 interval (`int`): Wait time between iteration when looping is needed, in second. Default: 15 method (`str`): Method to recover the device configuration, Support methods: 'checkpoint': Rollback the configuration by checkpoint (nxos), archive file (iosxe), load the saved running-config file on disk (iosxr) Optional: tgn_timeout (`int`): Maximum wait time for all traffic threads to be restored to the reference rate, in second. Default: 60 tgn_delay (`int`): Wait time between each poll to verify if traffic is resumed, in second. Default: 10 timeout_recovery: Buffer recovery timeout make sure devices are recovered at the end of the trigger execution. Used when previous timeouts have been exhausted. max_time (`int`): Maximum wait time for the last step of the trigger, in second. Default: 180 interval (`int`): Wait time between iteration when looping is needed, in second. Default: 15 steps: 1. Learn Vxlan Ops object and store the the multisite bgw delay restore time. SKIP the trigger if there is no VXLAN(s) found 2. Save the current device configurations through "method" which user uses 3. Modify the multisite bgw delay restore time of the learned VXLAN from step 1 with Vxlan Conf object 4. Verify the multisite bgw delay restore time of the learned VXLAN(s) from step 3 changes to the modified value in step 3. 5. Recover the device configurations to the one in step 2 6. Learn VXLAN Ops again and verify it is the same as the Ops in step 1 """ mapping = Mapping(requirements={'ops.vxlan.vxlan.Vxlan': { 'requirements': [[['nve', 'evpn_multisite_border_gateway', '(?P<border_gateway>.*)']], [['nve','(?P<nve_name>.*)', 'multisite_convergence_time', '(?P<multisite_convergence_time>.*)']]], 'kwargs': {'attributes': ['nve[(.*)][multisite_convergence_time]', 'nve[(.*)][vni][(.*)]', 'nve[evpn_multisite_border_gateway]']}, 'exclude': vxlan_base_exclude}}, config_info={'conf.vxlan.Vxlan': { 'requirements': [['device_attr', '{uut}', 'evpn_msite_attr', '(?P<border_gateway>.*)',\ 'evpn_msite_bgw_delay_restore_time', 101]], 'verify_conf': False, 'kwargs': {}}}, verify_ops={'ops.vxlan.vxlan.Vxlan': { 'requirements': [['nve', 'evpn_multisite_border_gateway', '(?P<border_gateway>.*)'], ['nve', '(?P<nve_name>.*)', 'multisite_convergence_time', 101]], 'kwargs': {'attributes': ['nve[(.*)][multisite_convergence_time]', 'nve[(.*)][vni][(.*)]', 'nve[evpn_multisite_border_gateway]']}, 'exclude': vxlan_base_exclude}}, num_values={'nve_name': 'all' , 'border_gateway':'all', 'delay_time':'all' }) class TriggerModifyNveSourceInterfaceLoopback(TriggerModify): """Modify and revert nve source interface dynamically learned Vxlan(s).""" __description__ = """Unconfigure nve source interface and reapply the whole configurations of dynamically learned Vxlan(s). trigger_datafile: Mandatory: timeout: max_time (`int`): Maximum wait time for the trigger, in second. Default: 180 interval (`int`): Wait time between iteration when looping is needed, in second. Default: 15 method (`str`): Method to recover the device configuration, Support methods: 'checkpoint': Rollback the configuration by checkpoint (nxos), archive file (iosxe), load the saved running-config file on disk (iosxr) Optional: tgn_timeout (`int`): Maximum wait time for all traffic threads to be restored to the reference rate, in second. Default: 60 tgn_delay (`int`): Wait time between each poll to verify if traffic is resumed, in second. Default: 10 timeout_recovery: Buffer recovery timeout when the previous timeout has been exhausted, to make sure the devices are recovered before ending the trigger max_time (`int`): Maximum wait time for the last step of the trigger, in second. Default: 180 interval (`int`): Wait time between iteration when looping is needed, in second. Default: 15 steps: 1. Learn Vxlan Ops object and store the nve source interface under nve if has any, otherwise, SKIP the trigger 2. Save the current device configurations through "method" which user uses 3. Unconfigure the nve source interface with Interface Conf object 4. Verify the nve source interface from step 3 are no longer existed 5. Recover the device configurations to the one in step 2 6. Learn Vxlan Ops again and verify it is the same as the Ops in step 1 """ @aetest.test def modify_configuration(self, uut, abstract, steps): new_source_if = "" values = "(?P<intf_name>.*)\n"\ "(?P<source_if>.*)\n"\ "(?P<multisite_bgw_if>.*)" found_values = re.findall(r'\S+|\n', values) req_values = self.mapping._path_population([found_values], uut) for key in req_values: # new source interface must be different with multisite bgw_if if key[0] != key[2] and key[0] != key[4]: new_source_if = key[0] self.__dict__['new_source_if'] = new_source_if break if new_source_if: cmd = "interface (?P<nve_name>.*)\n" \ " shutdown\n" \ " source-interface %s\n" \ " no shutdown" %new_source_if x = re.findall(r'\S+|\n', cmd) req = self.mapping._path_population([x], uut) req_str = [] for item in req[0]: req_str.append(str(item)) cmd = ' '.join(req_str) try: uut.configure(cmd) except Exception as e: self.failed("Unable to configure: '{c}'".format(c=cmd), from_exception=e) else: # new source interface must be different with multisite bgw_if self.failed("Not found any 'up' loopback and different with multisite bgw_if") @aetest.test def verify_modification(self, uut, abstract, steps): try: ret = self.__dict__['new_source_if'] req = ['nve', '(?P<nve_name>.*)', 'source_if'] req.insert(len(req), ret) self.mapping._verify_ops_dict['ops.vxlan.vxlan.Vxlan']['requirements'].append(req) log.info("\n\nVerifying the following requirements: {req}".format(req=req)) except Exception as e: log.warning('Cannot verify source_if information.' 'Mismatch is expected {}'.format(e)) super().verify_modification(uut, abstract, steps) @aetest.test def restore_configuration(self, uut, method, abstract): """exceptional rollback""" try: cmd = "interface (?P<nve_name>.*)\n" \ " shutdown\n" \ " source-interface (?P<source_if>.*)\n" \ " no shutdown" x = re.findall(r'\S+|\n', cmd) req = self.mapping._path_population([x], uut) req_str = [] for item in req[0]: req_str.append(str(item)) cmd = ' '.join(req_str) try: uut.configure(cmd) except Exception as e: self.failed("Unable to configure: '{c}'".format(c=cmd), from_exception=e) except Exception as e: self.failed('Failed to restore the configuration', from_exception=e) mapping = Mapping(requirements={'ops.vxlan.vxlan.Vxlan':{ 'requirements': [['nve', '(?P<nve_name>.*)', 'source_if', '(?P<source_if>.*)'], ['nve', '(?P<nve_name>.*)', 'src_if_state', 'up'], ['nve', '(?P<nve_name>.*)', 'multisite_bgw_if', '(?P<multisite_bgw_if>.*)']], 'all_keys': True, 'kwargs': {'attributes': ['nve']}, 'exclude': vxlan_exclude}, 'ops.interface.interface.Interface':{ 'requirements': [['info', '(?P<intf_name>loopback.*)', 'oper_status', 'up']], 'kwargs': {'attributes': ['info']}, 'all_keys': True, 'exclude': interface_exclude}}, config_info={'conf.interface.Interface': { 'requirements': [], 'verify_conf': False, 'kwargs': {'mandatory': {'name': '(?P<nve_name>.*)', 'attach': False}}}}, verify_ops={'ops.vxlan.vxlan.Vxlan': { 'requirements': [['nve', '(?P<nve_name>.*)', 'vni', '(?P<vni>.*)', 'vni_state', 'down'], ['nve', '(?P<nve_name>.*)', 'if_state', 'down'], ['nve', '(?P<nve_name>.*)', 'multisite_bgw_if_oper_state', 'down'], ['nve', '(?P<nve_name>.*)', 'multisite_bgw_if_oper_state_down_reason', 'NVE not up.'], ['nve', 'vni', 'summary', 'cp_vni_up', 0]], 'kwargs': {'attributes': ['nve']}, 'exclude': vxlan_exclude + ['primary_ip','scondary_ip','vip_rmac',\ 'ethernet_segment','cp_vni_down','sm_state']}}, num_values={'nve_name':1, 'source_if': 1, 'intf_name':'all', 'multisite_bgw_if':1 }) class TriggerModifyEvpnRd(TriggerModify): """Modify and revert the rd under evpn vni that dynamically learned vxlan(s).""" __description__ = """Modify and revert the rd under evpn vni dynamically learned vxlan(s). trigger_datafile: Mandatory: timeout: max_time (`int`): Maximum wait time for the trigger, in second. Default: 180 interval (`int`): Wait time between iteration when looping is needed, in second. Default: 15 method (`str`): Method to recover the device configuration, Support methods: 'checkpoint': Rollback the configuration by checkpoint (nxos), archive file (iosxe), load the saved running-config file on disk (iosxr) Optional: tgn_timeout (`int`): Maximum wait time for all traffic threads to be restored to the reference rate, in second. Default: 60 tgn_delay (`int`): Wait time between each poll to verify if traffic is resumed, in second. Default: 10 timeout_recovery: Buffer recovery timeout make sure devices are recovered at the end of the trigger execution. Used when previous timeouts have been exhausted. max_time (`int`): Maximum wait time for the last step of the trigger, in second. Default: 180 interval (`int`): Wait time between iteration when looping is needed, in second. Default: 15 steps: 1. Learn Vxlan Ops object and store the rd and it's vni . SKIP the trigger if there is no VXLAN(s) found 2. Save the current device configurations through "method" which user uses 3. Modify the rd of the learned VXLAN from step 1 with Vxlan Conf object 4. Verify the rd of the learned VXLAN(s) from step 3 changes to the modified value in step 3. 5. Recover the device configurations to the one in step 2 6. Learn VXLAN Ops again and verify it is the same as the Ops in step 1 """ # configuration steps callable # adding new value for rd def configure_rd(self, conf_obj, path, **kwargs): paths = self._path_population([path], kwargs['device']) for path in paths: rd_index = int(path.index('evpn_vni_rd')) rd_attr_val = path[rd_index+1] new_rd_scond_portion = int(rd_attr_val.split(':')[1]) + 1 new_rd = "{}:{}".format(rd_attr_val.split(':')[0], new_rd_scond_portion) self.keys[0]['new_rd'] = new_rd path[-1] = new_rd log.info('With following configuration:\n{c}' .format(c=paths)) Configure.conf_configure(device=kwargs['device'], conf=conf_obj, conf_structure=paths, unconfig=False) @aetest.test def verify_modification(self, uut, abstract, steps): for item in self.mapping.keys: try: ret = item['new_rd'] req = ['bgp_l2vpn_evpn', 'instance', '(?P<instance>.*)', 'vrf', '(?P<vrf>.*)', 'address_family', '(?P<af>.*)', 'rd', ret,'rd'] req.insert(len(req),ret) req_2 = ['bgp_l2vpn_evpn', 'instance', '(?P<instance>.*)', 'vrf', '(?P<vrf>.*)', 'address_family', '(?P<af>.*)', 'rd', ret, 'rd_vniid', '(?P<rd_vniid>.*)'] self.mapping._verify_ops_dict['ops.vxlan.vxlan.Vxlan']['requirements'].append(req) self.mapping._verify_ops_dict['ops.vxlan.vxlan.Vxlan']['requirements'].append(req_2) except Exception as e: log.warning('Cannot verify rd information.' 'Mismatch is expected {}'.format(e)) super().verify_modification(uut, abstract, steps) # Mapping of Information between Ops and Conf # Also permit to dictates which key to verify mapping = Mapping(requirements={'ops.vxlan.vxlan.Vxlan':{ 'requirements':[['bgp_l2vpn_evpn', 'instance', '(?P<instance>.*)', 'vrf', '(?P<vrf>.*)', 'address_family', '(?P<af>.*)', 'rd', '(?P<rd>.*)','rd','(?P<rd>.*)'], ['bgp_l2vpn_evpn', 'instance', '(?P<instance>.*)', 'vrf', '(?P<vrf>.*)', 'address_family', '(?P<af>.*)', 'rd', '(?P<rd>.*)', 'rd_vniid', '(?P<rd_vniid>.*)'], ['bgp_l2vpn_evpn', 'instance', '(?P<instance>.*)', 'vrf', '(?P<vrf>.*)', 'address_family', '(?P<af>.*)', 'rd', '(?P<rd>.*)', 'rd_vrf', 'l2']], 'kwargs':{'attributes':['bgp_l2vpn_evpn[instance][(.*)][vrf][(.*)][address_family][(.*)][rd][(.*)][rd]', 'bgp_l2vpn_evpn[instance][(.*)][vrf][(.*)][address_family][(.*)][rd][(.*)][rd_vniid]', 'bgp_l2vpn_evpn[instance][(.*)][vrf][(.*)][address_family][(.*)][rd][(.*)][rd_vrf]', ]}, 'all_keys':True, 'exclude': vxlan_exclude}}, config_info={'conf.vxlan.Vxlan': { 'requirements':[[partial(configure_rd, path=['device_attr', '{uut}', 'evpn_attr', '*', 'vni_attr', '(?P<rd_vniid>.*)', 'evpn_vni_rd', '(?P<rd>.*)'])]], 'verify_conf':False, 'kwargs': {}}}, verify_ops={'ops.vxlan.vxlan.Vxlan':{ 'requirements':[], 'kwargs':{'attributes':['bgp_l2vpn_evpn[instance][(.*)][vrf][(.*)][address_family][(.*)][rd][(.*)][rd]', 'bgp_l2vpn_evpn[instance][(.*)][vrf][(.*)][address_family][(.*)][rd][(.*)][rd_vniid]', 'bgp_l2vpn_evpn[instance][(.*)][vrf][(.*)][address_family][(.*)][rd][(.*)][rd_vrf]']}, 'exclude': vxlan_exclude}}, num_values={'rd': 1, 'instance':1, 'vrf':1, 'af':1, 'rd_vniid':1})

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f35036e91b1a3f5c6554a76c125e1bb79f9c2575

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py

Python

application/flask/resources/__init__.py

agu3rra/sauron

fd262af858af7d06d8b9c54319be207a2adaf92b

[ "MIT" ]

null

application/flask/resources/__init__.py

agu3rra/sauron

fd262af858af7d06d8b9c54319be207a2adaf92b

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application/flask/resources/__init__.py

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from .status import status from .scan import scan from .scans import scans

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f352e80c3743656abcd189512a025b0a3ff052d7

38

py

Python

tests/__init__.py

actuarial-tools/pyactsci

fb8a4318b12df9252274040961b5f94c82008311

[ "MIT" ]

null

tests/__init__.py

actuarial-tools/pyactsci

fb8a4318b12df9252274040961b5f94c82008311

[ "MIT" ]

null

tests/__init__.py

actuarial-tools/pyactsci

fb8a4318b12df9252274040961b5f94c82008311

[ "MIT" ]

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"""Unit test package for pyactsci."""

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py

Python

models/__init__.py

hbin0701/c3vqg-official

2600940d9a3255f9f4b616313aed968b17d71432

[ "MIT" ]

13

2020-05-30T11:45:33.000Z

2021-12-22T13:52:01.000Z

models/__init__.py

hbin0701/c3vqg-official

2600940d9a3255f9f4b616313aed968b17d71432

[ "MIT" ]

6

2020-08-08T05:39:35.000Z

2022-03-12T00:46:20.000Z

models/__init__.py

hbin0701/c3vqg-official

2600940d9a3255f9f4b616313aed968b17d71432

[ "MIT" ]

6

2020-07-01T04:06:53.000Z

2022-03-29T10:13:39.000Z

from .iq import IQ from .gen_ques_rnn import genQLSTM from .iq_try_cl import IQ_CL

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Python

backend/src/graphql_get.py

mRcSchwering/prevailing-winds

5515f05fa7012a47bc665883b30a47f1ab251835

[ "MIT" ]

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2021-05-12T12:14:11.000Z

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backend/src/graphql_get.py

mRcSchwering/prevailing-winds

5515f05fa7012a47bc665883b30a47f1ab251835

[ "MIT" ]

14

2021-03-18T18:01:03.000Z

2021-10-03T16:57:11.000Z

backend/src/graphql_get.py

mRcSchwering/prevailing-winds

5515f05fa7012a47bc665883b30a47f1ab251835

[ "MIT" ]

null

from ariadne.constants import PLAYGROUND_HTML # type: ignore def lambda_handler(*_): return { "statusCode": 200, "body": PLAYGROUND_HTML, "headers": {"Content-Type": "text/html"}, }

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Python

cla_backend/apps/cla_provider/tests/api/test_csvupload_api.py

uk-gov-mirror/ministryofjustice.cla_backend

4d524c10e7bd31f085d9c5f7bf6e08a6bb39c0a6

[ "MIT" ]

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2019-10-02T15:31:03.000Z

2022-01-13T10:15:53.000Z

cla_backend/apps/cla_provider/tests/api/test_csvupload_api.py

uk-gov-mirror/ministryofjustice.cla_backend

4d524c10e7bd31f085d9c5f7bf6e08a6bb39c0a6

[ "MIT" ]

206

2015-01-02T16:50:11.000Z

2022-02-16T20:16:05.000Z

cla_backend/apps/cla_provider/tests/api/test_csvupload_api.py

uk-gov-mirror/ministryofjustice.cla_backend

4d524c10e7bd31f085d9c5f7bf6e08a6bb39c0a6

[ "MIT" ]

6

2015-03-23T23:08:42.000Z

2022-02-15T17:04:44.000Z

import datetime import re import unittest from decimal import Decimal from django.conf import settings from django.contrib.auth.models import User from django.test import override_settings from provider.oauth2.models import AccessToken from rest_framework import serializers from rest_framework.test import APITestCase import legalaid.utils.csvupload.validators as v from legalaid.utils.csvupload.contracts import ( CONTRACT_EIGHTEEN_DISCRIMINATION, CONTRACT_EIGHTEEN_EDUCATION, contract_2018_category_spec, get_applicable_contract, ) from cla_provider.models import Staff from core.tests.mommy_utils import make_recipe from core.tests.test_base import SimpleResourceAPIMixin from legalaid.tests.views.test_base import CLAProviderAuthBaseApiTestMixin class CSVUploadAPIMixin(SimpleResourceAPIMixin): RESOURCE_RECIPE = "cla_provider.csvupload_case" API_URL_BASE_NAME = "csvupload" @property def response_keys(self): return ["id", "provider", "created_by", "comment", "rows", "month", "created", "modified"] @property def response_keys_details(self): keys = self.response_keys[:] keys.remove("rows") keys.append("body") return keys def make_resource(self, **kwargs): kwargs.update({"created_by": self.user.staff, "provider": self.provider}) return super(CSVUploadAPIMixin, self).make_resource(**kwargs) class CSVUploadTestCase(CSVUploadAPIMixin, CLAProviderAuthBaseApiTestMixin, APITestCase): def setUp(self): super(CSVUploadTestCase, self).setUp() self.wrong_user = User.objects.create_user("wrong user", "wr@ng.user", "password") self.wrong_provider = make_recipe("cla_provider.provider") self.wrong_provider.staff_set.add(Staff(user=self.wrong_user, is_manager=True)) self.wrong_provider.save() # Create an access token from wrong user self.wrong_staff_token = AccessToken.objects.create( user=self.wrong_user, client=self.staff_api_client, token="wrong_stafF_token", scope=0 ) def assertResponseKeys(self, response, detail=False, paginated=False): return super(CSVUploadTestCase, self).assertResponseKeys( response, keys=self.response_keys_details if detail else None, paginated=paginated ) def test_get(self): response = self.client.get(self.detail_url, HTTP_AUTHORIZATION=self.get_http_authorization()) self.assertResponseKeys(response, detail=True) def test_get_list(self): response = self.client.get(self.list_url, HTTP_AUTHORIZATION=self.get_http_authorization()) self.assertResponseKeys(response, paginated=True) def test_get_list_with_wrong_provider(self): response = self.client.get( self.list_url, HTTP_AUTHORIZATION=self.get_http_authorization(token=self.wrong_staff_token) ) self.assertListEqual(response.data["results"], []) def test_methods_not_authorized(self): self._test_get_not_authorized(self.list_url, self.invalid_token) self._test_get_not_authorized(self.detail_url, self.invalid_token) def test_methods_not_allowed(self): self._test_patch_not_allowed(self.detail_url, data={"anything": "it doesn't matter"}) class ProviderCSVValidatorTestCase(unittest.TestCase): def setUp(self): contract_2013_format_data = v.contract_2013_validators_for_original_field_order.copy() contract_2013_format_data["CLA Reference Number"] = u"3333333" contract_2013_format_data["Client Ref"] = u"0001" contract_2013_format_data["Account Number"] = u"2B222B" contract_2013_format_data["First Name"] = u"A N Other" contract_2013_format_data["Surname"] = u"Corgi" contract_2013_format_data["DOB"] = u"02/01/2014" contract_2013_format_data["Age Range"] = u"E" contract_2013_format_data["Gender"] = u"M" contract_2013_format_data["Ethnicity"] = u"1" contract_2013_format_data["Unused1"] = u"" contract_2013_format_data["Unused2"] = u"" contract_2013_format_data["Postcode"] = u"SW1A 1AA" contract_2013_format_data["Eligibility Code"] = u"X" contract_2013_format_data["Matter Type 1"] = u"" contract_2013_format_data["Matter Type 2"] = u"" contract_2013_format_data["Stage Reached"] = u"" contract_2013_format_data["Outcome Code"] = u"" contract_2013_format_data["Unused3"] = u"" contract_2013_format_data["Date Opened"] = u"01/01/2014" contract_2013_format_data["Date Closed"] = u"01/01/2015" contract_2013_format_data["Time Spent"] = u"99" contract_2013_format_data["Case Costs"] = u"99.5" contract_2013_format_data["Unused4"] = u"" contract_2013_format_data["Disability Code"] = u"ILL" contract_2013_format_data["Disbursements"] = u"0" contract_2013_format_data["Travel Costs"] = u"0" contract_2013_format_data["Determination"] = u"" contract_2013_format_data["Suitable for Telephone Advice"] = u"N" contract_2013_format_data["Exceptional Cases (ref)"] = u"" contract_2013_format_data["Exempted Reason Code"] = u"" contract_2013_format_data["Adjustments / Adaptations"] = u"NAR" contract_2013_format_data["Signposting / Referral"] = u"" contract_2013_format_data["Media Code"] = u"DK" contract_2013_format_data["Telephone / Online"] = u"TA" self.contract_2013_data = contract_2013_format_data contract_2018_format_data = v.contract_2018_validators_for_new_field_order.copy() contract_2018_format_data["CLA Reference Number"] = u"3333333" contract_2018_format_data["Client Ref"] = u"0001" contract_2018_format_data["Account Number"] = u"2B222B" contract_2018_format_data["First Name"] = u"A N Other" contract_2018_format_data["Surname"] = u"Corgi" contract_2018_format_data["DOB"] = u"02/01/2014" contract_2018_format_data["Age Range"] = u"E" contract_2018_format_data["Gender"] = u"M" contract_2018_format_data["Ethnicity"] = u"1" contract_2018_format_data["Postcode"] = u"SW1A 1AA" contract_2018_format_data["Eligibility Code"] = u"X" contract_2018_format_data["Matter Type 1"] = u"" contract_2018_format_data["Matter Type 2"] = u"" contract_2018_format_data["Stage Reached"] = u"" contract_2018_format_data["Outcome Code"] = u"" contract_2018_format_data["Date Opened"] = u"01/09/2018" contract_2018_format_data["Date Closed"] = u"01/10/2018" contract_2018_format_data["Time Spent"] = u"18" contract_2018_format_data["Case Costs"] = u"99.5" contract_2018_format_data["Fixed Fee Amount"] = u"65" contract_2018_format_data["Fixed Fee Code"] = u"LF" contract_2018_format_data["Disability Code"] = u"ILL" contract_2018_format_data["Disbursements"] = u"0" contract_2018_format_data["Travel Costs"] = u"0" contract_2018_format_data["Determination"] = u"" contract_2018_format_data["Suitable for Telephone Advice"] = u"N" contract_2018_format_data["Exceptional Cases (ref)"] = u"" contract_2018_format_data["Exempted Reason Code"] = u"" contract_2018_format_data["Adjustments / Adaptations"] = u"NAR" contract_2018_format_data["Signposting / Referral"] = u"" contract_2018_format_data["Media Code"] = u"DK" contract_2018_format_data["Telephone / Online"] = u"TA" self.contract_2018_data = contract_2018_format_data @staticmethod def get_provider_csv_validator(data=None): data_in_2013_format = [ [ u"3333333", u"0001", u"2B222B", u"A N Other", u"Corgi", u"02/01/2014", u"E", u"M", u"1", u"", u"", u"SW1A 1AA", u"X", u"EPRO", u"ESOS", u"EA", u"EB", u"", u"01/01/2014", u"01/01/2015", u"99", u"99.5", u"", u"ILL", u"0", u"0", u"", u"N", u"", u"", u"NAR", u"", u"DK", u"TA", ], [ u"2222222", u"0000", u"1A111A", u"A", u"Corgi", u"01/01/2014", u"D", u"F", u"1", u"", u"", u"SW1A 1AA", u"", u"EPRO", u"ESOS", u"", u"", u"", u"", u"", u"18", u"99.5", u"", u"MOB", u"", u"", u"FINI", u"", u"", u"", u"NAR", u"", u"", u"TA", ], ] data_in_2018_format = [ [ u"3333333", u"0001", u"2B222B", u"A N Other", u"Corgi", u"02/01/2014", u"E", u"M", u"1", u"SW1A 1AA", u"X", u"EPRO", u"ESOS", u"EA", u"EB", u"01/01/2014", u"01/01/2015", u"99", u"99.5", u"", u"NA", u"ILL", u"0", u"0", u"", u"N", u"", u"", u"NAR", u"", u"DK", u"TA", ], [ u"2222222", u"0000", u"1A111A", u"A", u"Corgi", u"01/01/2014", u"D", u"F", u"1", u"SW1A 1AA", u"", u"EPRO", u"ESOS", u"", u"", u"", u"", u"18", u"99.5", u"", u"NA", u"MOB", u"", u"", u"FINI", u"", u"", u"", u"NAR", u"", u"", u"TA", ], ] if data is None: data = data_in_2018_format if settings.CONTRACT_2018_ENABLED else data_in_2013_format return v.ProviderCSVValidator(data) @staticmethod def get_dummy_cleaned_data_copy(): data_in_2013_format = { "DOB": datetime.datetime(2014, 1, 2, 0, 0), "Media Code": u"DK", "Exempted Reason Code": u"", "Telephone / Online": u"TA", "First Name": u"A N Other", "Unused1": u"", "Stage Reached": u"EB", "Unused3": u"", "Unused2": u"", "Matter Type 1": u"EPRO", "Matter Type 2": u"ESOS", "Exceptional Cases (ref)": u"", "Time Spent": 99, "CLA Reference Number": 3333333, "Client Ref": u"0001", "Determination": u"", "Travel Costs": Decimal("0"), "Outcome Code": u"EB", "Date Opened": datetime.datetime(2014, 1, 1, 0, 0), "Signposting / Referral": u"", "Eligibility Code": u"X", "Gender": u"M", "Case Costs": Decimal("99.5"), "Disbursements": Decimal("0"), "Disability Code": u"ILL", "Suitable for Telephone Advice": u"N", "Adjustments / Adaptations": u"", "Date Closed": datetime.datetime(2014, 1, 2, 0, 0), "Age Range": u"E", "Surname": u"Corgi", "Account Number": u"2B222B", "Unused4": u"", "Postcode": u"SW1A 1AA", "Ethnicity": u"1", } data_in_2018_format = { "DOB": datetime.datetime(2014, 1, 2, 0, 0), "Media Code": u"DK", "Exempted Reason Code": u"", "Telephone / Online": u"TA", "First Name": u"A N Other", "Stage Reached": u"EB", "Matter Type 1": u"EPRO", "Matter Type 2": u"ESOS", "Exceptional Cases (ref)": u"", "Time Spent": 99, "CLA Reference Number": 3333333, "Client Ref": u"0001", "Determination": u"", "Travel Costs": Decimal("0"), "Outcome Code": u"EB", "Date Opened": datetime.datetime(2014, 1, 1, 0, 0), "Signposting / Referral": u"", "Eligibility Code": u"X", "Gender": u"M", "Case Costs": Decimal("99.5"), "Disbursements": Decimal("0"), "Disability Code": u"ILL", "Suitable for Telephone Advice": u"N", "Adjustments / Adaptations": u"", "Date Closed": datetime.datetime(2014, 1, 2, 0, 0), "Age Range": u"E", "Surname": u"Corgi", "Account Number": u"2B222B", "Postcode": u"SW1A 1AA", "Ethnicity": u"1", "Fixed Fee Amount": u"LF", "Fixed Fee Code": u"65", } data = data_in_2018_format if settings.CONTRACT_2018_ENABLED else data_in_2013_format return data.copy() @override_settings(CONTRACT_2018_ENABLED=False) def test_validator_valid_2013(self): validator = self.get_provider_csv_validator() self.assertEqual(len(validator.validate()), 2) @override_settings(CONTRACT_2018_ENABLED=True) def test_validator_valid_2018(self): validator = self.get_provider_csv_validator() self.assertEqual(len(validator.validate()), 2) @override_settings(CONTRACT_2018_ENABLED=True) def test_validator_is_2018_discrimination(self): for matter_type in contract_2018_category_spec["discrimination"]["MATTER_TYPE1"]: if get_applicable_contract(datetime.datetime(2019, 9, 1), matter_type) != CONTRACT_EIGHTEEN_DISCRIMINATION: self.fail("Applicable contract is not 2018 discrimination contract") @override_settings(CONTRACT_2018_ENABLED=True) def test_validator_is_2018_education(self): for matter_type in contract_2018_category_spec["education"]["MATTER_TYPE1"]: if get_applicable_contract(datetime.datetime(2019, 9, 1), matter_type) != CONTRACT_EIGHTEEN_EDUCATION: self.fail("Applicable contract is not 2018 education contract") def test_invalid_field_count(self): validator = self.get_provider_csv_validator([[], []]) with self.assertRaisesRegexp(serializers.ValidationError, r"Row: 1 - Incorrect number of columns"): validator.validate() def test_closed_date_after_opened_date_invariant(self): test_values = { "Matter Type 1": u"EADM", "Matter Type 2": u"ESOS", "Stage Reached": u"EB", "Outcome Code": u"EB", "Date Opened": u"02/01/2014", "Date Closed": u"01/01/2014", } data = [self._generate_contract_data_row(override=test_values)] validator = self.get_provider_csv_validator(data) with self.assertRaisesRegexp(serializers.ValidationError, "Row: 1 - .*must be after"): validator.validate() def test_invalid_account_number(self): test_values = { "Account Number": u"22222B", "Matter Type 1": u"EPRO", "Matter Type 2": u"ESOS", "Stage Reached": u"EB", "Outcome Code": u"EB", } data = [self._generate_contract_data_row(override=test_values)] validator = self.get_provider_csv_validator(data) with self.assertRaises(serializers.ValidationError): validator.validate() def test_service_adapation_validation_valid(self): test_values = { "Matter Type 1": u"EPRO", "Matter Type 2": u"ESOS", "Stage Reached": u"EB", "Outcome Code": u"EB", "Adjustments / Adaptations": u"LOL", } data = [self._generate_contract_data_row(override=test_values)] validator = self.get_provider_csv_validator(data) with self.assertRaisesRegexp(serializers.ValidationError, r"Adjustments / Adaptations - LOL must be one of"): validator.validate() @override_settings(CONTRACT_2018_ENABLED=False) def test_allowed_no_outcome_code_and_dates_if_determination_code_2013(self): test_values = { "Matter Type 1": u"EPRO", "Matter Type 2": u"ESOS", "Date Opened": u"", "Date Closed": u"", "Time Spent": u"18", "Determination": u"FINI", } data = [self._generate_contract_data_row(override=test_values)] validator = self.get_provider_csv_validator(data) try: validator.validate() except serializers.ValidationError: self.fail("Should not need outcome code or closed and opened dated if determination code present") @override_settings(CONTRACT_2018_ENABLED=True) def test_allowed_no_outcome_code_and_dates_if_determination_code_2018(self): test_values = { "Matter Type 1": u"EPRO", "Matter Type 2": u"ESOS", "Date Opened": u"", "Date Closed": u"", "Fixed Fee Code": u"NA", "Time Spent": u"18", "Determination": u"FINI", } data = [self._generate_contract_data_row(override=test_values)] validator = self.get_provider_csv_validator(data) try: validator.validate() except serializers.ValidationError: self.fail("Should not need outcome code or closed and opened dated if determination code present") def test_service_adapation_validation_required(self): validator = self.get_provider_csv_validator() cleaned_data = self.get_dummy_cleaned_data_copy() cleaned_data["Adjustments / Adaptations "] = u"" with self.assertRaisesRegexp(serializers.ValidationError, r"Adjustments / Adaptations field is required"): validator._validate_service_adaptation(cleaned_data) @override_settings(CONTRACT_2018_ENABLED=False) def test_eligibility_code_validation_required(self): validator = self.get_provider_csv_validator() cleaned_data = self.get_dummy_cleaned_data_copy() validator._validate_eligibility_code_against_time_spent(cleaned_data) cleaned_data["Eligibility Code"] = u"" with self.assertRaisesRegexp(serializers.ValidationError, r"Eligibility Code field is required"): validator._validate_eligibility_code_against_time_spent(cleaned_data) @override_settings(CONTRACT_2018_ENABLED=False) def test_validate_ta_oa_ff_not_valid_for_edu_and_dis(self): validator = self.get_provider_csv_validator() cleaned_data = self.get_dummy_cleaned_data_copy() validator._validate_eligibility_code_against_time_spent(cleaned_data) cleaned_data["Telephone / Online"] = u"FF" validator._validate_telephone_or_online_advice(cleaned_data, u"education") validator._validate_telephone_or_online_advice(cleaned_data, u"discrimination") with self.assertRaisesRegexp(serializers.ValidationError, r".*code FF only valid for.*"): validator._validate_telephone_or_online_advice(cleaned_data, u"ssss") @override_settings(CONTRACT_2018_ENABLED=False) def test_eligibility_code_validation_time_spent_less_than_132(self): validator = self.get_provider_csv_validator() cleaned_data = self.get_dummy_cleaned_data_copy() cleaned_data["Eligibility Code"] = u"S" validator._validate_eligibility_code_against_time_spent(cleaned_data) cleaned_data["Time Spent"] = 999 with self.assertRaisesRegexp( serializers.ValidationError, r"The eligibility code .* you have entered is not valid" ): validator._validate_eligibility_code_against_time_spent(cleaned_data) @override_settings(CONTRACT_2018_ENABLED=False) def test_validation_time_spent_less_than_18(self): validator = self.get_provider_csv_validator() cleaned_data = self.get_dummy_cleaned_data_copy() cleaned_data["Eligibility Code"] = u"S" cleaned_data["Determination"] = False validator._validate_eligibility_code_against_time_spent(cleaned_data) cleaned_data["Time Spent"] = 999 with self.assertRaisesRegexp( serializers.ValidationError, r"The eligibility code .* you have entered is not valid with" ): validator._validate_eligibility_code_against_time_spent(cleaned_data) @override_settings(CONTRACT_2018_ENABLED=True) def test_eligibility_code_validation_required_2018(self): validator = self.get_provider_csv_validator() cleaned_data = self.get_dummy_cleaned_data_copy() validator._validate_eligibility_code_against_time_spent(cleaned_data) cleaned_data["Eligibility Code"] = u"" with self.assertRaisesRegexp(serializers.ValidationError, r"Eligibility Code field is required"): validator._validate_eligibility_code_against_time_spent(cleaned_data) @override_settings(CONTRACT_2018_ENABLED=True) def test_validate_ta_oa_ff_not_valid_for_edu_and_dis_2018(self): validator = self.get_provider_csv_validator() cleaned_data = self.get_dummy_cleaned_data_copy() validator._validate_eligibility_code_against_time_spent(cleaned_data) cleaned_data["Telephone / Online"] = u"FF" validator._validate_telephone_or_online_advice(cleaned_data, u"education") validator._validate_telephone_or_online_advice(cleaned_data, u"discrimination") with self.assertRaisesRegexp(serializers.ValidationError, r".*code FF only valid for.*"): validator._validate_telephone_or_online_advice(cleaned_data, u"ssss") @override_settings(CONTRACT_2018_ENABLED=True) def test_eligibility_code_validation_time_spent_less_than_132_2018(self): validator = self.get_provider_csv_validator() cleaned_data = self.get_dummy_cleaned_data_copy() cleaned_data["Eligibility Code"] = u"S" validator._validate_eligibility_code_against_time_spent(cleaned_data) cleaned_data["Time Spent"] = 999 with self.assertRaisesRegexp( serializers.ValidationError, r"The eligibility code .* you have entered is not valid" ): validator._validate_eligibility_code_against_time_spent(cleaned_data) @override_settings(CONTRACT_2018_ENABLED=True) def test_validation_time_spent_less_than_18_2018(self): validator = self.get_provider_csv_validator() cleaned_data = self.get_dummy_cleaned_data_copy() cleaned_data["Eligibility Code"] = u"S" cleaned_data["Determination"] = False validator._validate_eligibility_code_against_time_spent(cleaned_data) cleaned_data["Time Spent"] = 999 with self.assertRaisesRegexp( serializers.ValidationError, r"The eligibility code .* you have entered is not valid with" ): validator._validate_eligibility_code_against_time_spent(cleaned_data) def test_validation_time_spent_more_than_18_with_determination_not_valid(self): validator = self.get_provider_csv_validator() cleaned_data = self.get_dummy_cleaned_data_copy() cleaned_data["Eligibility Code"] = u"S" cleaned_data["Determination"] = True cleaned_data["Time Spent"] = 12 validator._validate_time_spent(cleaned_data, u"welfare") cleaned_data["Time Spent"] = 999 with self.assertRaisesRegexp( serializers.ValidationError, "[u'Time spent (999) must not be greater than 42 minutes']" ): validator._validate_time_spent(cleaned_data, u"discrimination") with self.assertRaisesRegexp( serializers.ValidationError, "[u'Time spent (999) must not be greater than 18 minutes']" ): validator._validate_time_spent(cleaned_data, u"welfare") cleaned_data["Time Spent"] = 9 with self.assertRaisesRegexp(serializers.ValidationError, "[u'Time spent (9) must be in 6 minute intervals']"): validator._validate_time_spent(cleaned_data, u"welfare") def test_validation_exemption_code_or_cla_ref_required(self): validator = self.get_provider_csv_validator() cleaned_data = self.get_dummy_cleaned_data_copy() cleaned_data["Date Opened"] = datetime.datetime(2014, 1, 1) cleaned_data["Exempted Code Reason"] = u"aa" cleaned_data["Determination"] = False validator._validate_exemption(cleaned_data, u"debt") cleaned_data["Date Opened"] = datetime.datetime(2014, 1, 2) with self.assertRaisesRegexp( serializers.ValidationError, "[u'An Exemption Reason can only be entered for Debt, Discrimination and Education matter]", ): validator._validate_exemption(cleaned_data, u"welfare") cleaned_data["Exempted Code Reason"] = u"" cleaned_data["CLA Reference Number"] = u"" cleaned_data["Date Opened"] = datetime.datetime(2011, 1, 1) cleaned_data["Exceptional Cases (ref)"] = u"foo" validator._validate_exemption(cleaned_data, u"debt") cleaned_data["Exempted Code Reason"] = u"aa" with self.assertRaisesRegexp( serializers.ValidationError, "[u'An Exemption Reason can only be entered for Debt, Discrimination and Education matter]", ): validator._validate_exemption(cleaned_data, u"welfare") def test_category_consistency_validation(self): validator = self.get_provider_csv_validator() cleaned_data = self.get_dummy_cleaned_data_copy() cleaned_data["Matter Type 1"] = u"S" cleaned_data["Matter Type 2"] = u"P" with self.assertRaisesRegexp(serializers.ValidationError, r"fields must be of the same category"): validator._validate_category_consistency(cleaned_data) def test_staged_reached_validate_required_mt1s(self): validator = self.get_provider_csv_validator() cleaned_data = self.get_dummy_cleaned_data_copy() cleaned_data["Matter Type 1"] = u"DMCA" cleaned_data["Stage Reached"] = u"" with self.assertRaisesRegexp( serializers.ValidationError, r".*is required because Matter Type 1: DMCA was specified.*" ): validator._validate_stage_reached(cleaned_data) def test_staged_reached_validate_not_allowed_mt1s(self): validator = self.get_provider_csv_validator() cleaned_data = self.get_dummy_cleaned_data_copy() cleaned_data["Matter Type 1"] = u"WBAA" with self.assertRaisesRegexp( serializers.ValidationError, r".*is not allowed because Matter Type 1: WBAA was specified.*" ): validator._validate_stage_reached(cleaned_data) def test_gte_validator(self): gte_0 = v.validate_gte(0) self.assertEqual(1, gte_0(1)) with self.assertRaisesRegexp(serializers.ValidationError, ".*must be >= 0"): gte_0(-1) def test_validate_not_current_month(self): d = datetime.datetime(2014, 1, 1) self.assertEqual(d, v.validate_not_current_month(d)) with self.assertRaisesRegexp(serializers.ValidationError, r".*must not be from current month"): v.validate_not_current_month(datetime.datetime.now()) def test_decimal_validator(self): self.assertEqual(Decimal("1.0"), v.validate_decimal("1.0")) with self.assertRaisesRegexp(serializers.ValidationError, r"Invalid literal"): v.validate_decimal("QQ") def test_integer_validator(self): self.assertEqual(1, v.validate_integer("1")) with self.assertRaises(serializers.ValidationError): v.validate_integer("Q") def test_present_validator(self): val = "123" self.assertEqual(val, v.validate_present(val)) with self.assertRaises(serializers.ValidationError): v.validate_present("") def test_date_validator(self): val = "10/12/2014" self.assertEqual(datetime.datetime(2014, 12, 10), v.validate_date(val)) with self.assertRaisesRegexp(serializers.ValidationError, r"is not a valid date"): v.validate_date("FOO BAR BAZ") def test_not_present_validator(self): self.assertEqual("", v.validate_not_present("")) with self.assertRaisesRegexp(serializers.ValidationError, "Field should not be present"): v.validate_not_present("qqq") def test_regex_validator(self): validator = v.validate_regex("foo", re.I) val = "FOO" self.assertEqual(val, validator(val)) with self.assertRaisesRegexp( serializers.ValidationError, '[u"Field value (BAR) doesn\'t match pattern: foo"]' ): validator("BAR") def test_validate_in_iterable(self): test_in = v.validate_in({"a", "b", "c"}) self.assertEqual("a", test_in("a")) with self.assertRaisesRegexp(serializers.ValidationError, r".*must be one of"): test_in("q") def _generate_contract_data_row(self, override=None): row = self.contract_2018_data.copy() if settings.CONTRACT_2018_ENABLED else self.contract_2013_data.copy() if override: row.update(override) return [val for key, val in row.items()] def _test_generated_contract_row_validates(self, override): data = [self._generate_contract_data_row(override)] validator = v.ProviderCSVValidator(data) try: validator.validate() except (serializers.ValidationError, Exception) as e: self.fail("{}".format(e)) def _test_generated_2018_contract_row_validate_fails(self, override, expected_error): data = [self._generate_contract_data_row(override)] validator = v.ProviderCSVValidator(data) try: validator.validate() except (serializers.ValidationError, Exception) as e: if expected_error not in e.messages: self.fail("{}".format(e)) else: self.fail("Expected error missing: {}".format(expected_error)) @override_settings(CONTRACT_2018_ENABLED=True) def test_validator_for_debt_outcome_code_DAA_is_valid(self): test_values = { "Matter Type 1": u"DPDE", "Matter Type 2": u"DVAL", "Stage Reached": u"DA", "Outcome Code": u"DAA", } self._test_generated_contract_row_validates(override=test_values) @override_settings(CONTRACT_2018_ENABLED=True) def test_validator_for_family_outcome_code_FAA_is_valid(self): test_values = {"Matter Type 1": u"FAMA", "Matter Type 2": u"FADV", "Outcome Code": u"FAA"} self._test_generated_contract_row_validates(override=test_values) @override_settings(CONTRACT_2018_ENABLED=True) def test_validator_for_family_outcome_code_FAB_is_valid(self): test_values = {"Matter Type 1": u"FAMA", "Matter Type 2": u"FADV", "Outcome Code": u"FAB"} self._test_generated_contract_row_validates(override=test_values) @override_settings(CONTRACT_2018_ENABLED=True) def test_validator_for_family_outcome_code_FAC_is_valid(self): test_values = {"Matter Type 1": u"FAMA", "Matter Type 2": u"FADV", "Outcome Code": u"FAC"} self._test_generated_contract_row_validates(override=test_values) @override_settings(CONTRACT_2018_ENABLED=True) def test_validator_discrimination_outcome_code_QAA_is_valid(self): test_values = { "Matter Type 1": u"QPRO", "Matter Type 2": u"QAGE", "Stage Reached": u"QA", "Outcome Code": u"QAA", "Fixed Fee Code": u"NA", } self._test_generated_contract_row_validates(override=test_values) @override_settings(CONTRACT_2018_ENABLED=True) def test_validator_fafa_determination_code_is_valid(self): test_values = { "Matter Type 1": u"EPRO", "Matter Type 2": u"ESOS", "Stage Reached": u"EA", "Determination": u"FAFA", "Fixed Fee Code": u"NA", } self._test_generated_contract_row_validates(override=test_values) @override_settings(CONTRACT_2018_ENABLED=True) def test_validator_exem_determination_code_is_valid(self): test_values = { "Matter Type 1": u"EPRO", "Matter Type 2": u"ESOS", "Stage Reached": u"EA", "Determination": u"EXEM", "Fixed Fee Code": u"NA", } self._test_generated_contract_row_validates(override=test_values) @override_settings(CONTRACT_2018_ENABLED=True) def test_validator_housing_outcome_code_haa_is_valid(self): test_values = { "Matter Type 1": u"HRNT", "Matter Type 2": u"HPRI", "Stage Reached": u"HA", "Outcome Code": u"HAA", } self._test_generated_contract_row_validates(override=test_values) @override_settings(CONTRACT_2018_ENABLED=True) def test_validator_housing_outcome_code_hac_is_valid(self): test_values = { "Matter Type 1": u"HRNT", "Matter Type 2": u"HPRI", "Stage Reached": u"HA", "Outcome Code": u"HAC", } self._test_generated_contract_row_validates(override=test_values) @override_settings(CONTRACT_2018_ENABLED=True) def test_validator_housing_outcome_code_hab_is_valid(self): test_values = { "Matter Type 1": u"HRNT", "Matter Type 2": u"HPRI", "Stage Reached": u"HA", "Outcome Code": u"HAB", } self._test_generated_contract_row_validates(override=test_values) @override_settings(CONTRACT_2018_ENABLED=True) def test_validator_education_outcome_code_eaa_is_valid(self): test_values = { "Matter Type 1": u"EPRO", "Matter Type 2": u"ESOS", "Stage Reached": u"EA", "Outcome Code": u"EAA", "Fixed Fee Code": u"NA", } self._test_generated_contract_row_validates(override=test_values) @override_settings(CONTRACT_2018_ENABLED=True) def test_validator_education_matter_type1_code_edjr_is_valid(self): test_values = { "Matter Type 1": u"EDJR", "Matter Type 2": u"ENUR", "Stage Reached": u"EA", "Outcome Code": u"EZ", "Fixed Fee Code": u"NA", } self._test_generated_contract_row_validates(override=test_values) @override_settings(CONTRACT_2018_ENABLED=True) def test_invalid_outcome_code(self): test_values = { "Matter Type 1": u"EPRO", "Matter Type 2": u"ESOS", "Stage Reached": u"EA", "Outcome Code": u"INVALID", "Fixed Fee Code": u"NA", } expected_error = u"Row: 1 - You have not selected a valid Outcome Code." self._test_generated_2018_contract_row_validate_fails(override=test_values, expected_error=expected_error) @override_settings(CONTRACT_2018_ENABLED=True) def test_validator_fixed_fee_amount_present(self): test_values = { "Matter Type 1": u"DMAP", "Matter Type 2": u"DOTH", "Stage Reached": u"DB", "Fixed Fee Amount": u"130", "Fixed Fee Code": u"LF", } self._test_generated_contract_row_validates(override=test_values) @override_settings(CONTRACT_2018_ENABLED=True) def test_validator_fixed_fee_amount_missing(self): test_values = { "Matter Type 1": u"DMAP", "Matter Type 2": u"DOTH", "Stage Reached": u"DB", "Fixed Fee Amount": u"", "Fixed Fee Code": u"HF", } expected_error = u"Row: 1 - Fixed Fee Amount must be entered for Fixed Fee Code (HF)" self._test_generated_2018_contract_row_validate_fails(override=test_values, expected_error=expected_error) @override_settings(CONTRACT_2018_ENABLED=True) def test_validator_lower_fixed_fee_time_spent(self): test_values = { "Matter Type 1": u"DTOT", "Matter Type 2": u"DOTH", "Stage Reached": u"DB", "Fixed Fee Amount": u"65", "Fixed Fee Code": u"LF", "Time Spent": u"132", } self._test_generated_contract_row_validates(override=test_values) @override_settings(CONTRACT_2018_ENABLED=True) def test_validator_lower_fixed_fee_excess_time_spent(self): test_values = { "Matter Type 1": u"DTOT", "Matter Type 2": u"DOTH", "Stage Reached": u"DB", "Fixed Fee Amount": u"65", "Fixed Fee Code": u"LF", "Time Spent": u"133", } expected_error = u"Row: 1 - The Fixed Fee code you have entered is not valid with time spent on the case" self._test_generated_2018_contract_row_validate_fails(override=test_values, expected_error=expected_error) @override_settings(CONTRACT_2018_ENABLED=True) def test_validator_higher_fixed_fee_time_spent_bounds(self): test_values = { "Eligibility Code": u"V", "Matter Type 1": u"DMAP", "Matter Type 2": u"DOTH", "Stage Reached": u"DB", "Fixed Fee Amount": u"130", "Fixed Fee Code": u"HF", } lower_bound = "133" upper_bound = "899" for time_spent in [lower_bound, upper_bound]: test_values["Time Spent"] = time_spent self._test_generated_contract_row_validates(override=test_values) @override_settings(CONTRACT_2018_ENABLED=True) def test_validator_higher_fixed_fee_excess_time_spent(self): test_values = { "Eligibility Code": u"V", "Matter Type 1": u"DMAP", "Matter Type 2": u"DOTH", "Stage Reached": u"DB", "Fixed Fee Amount": u"130", "Fixed Fee Code": u"HF", "Time Spent": u"900", } expected_error = u"Row: 1 - The Fixed Fee code you have entered is not valid with time spent on the case" self._test_generated_2018_contract_row_validate_fails(override=test_values, expected_error=expected_error) @override_settings(CONTRACT_2018_ENABLED=True) def test_validator_higher_fixed_fee_insufficient_time_spent(self): test_values = { "Eligibility Code": u"V", "Matter Type 1": u"DMAP", "Matter Type 2": u"DOTH", "Stage Reached": u"DB", "Fixed Fee Amount": u"130", "Fixed Fee Code": u"HF", "Time Spent": u"132", } expected_error = u"Row: 1 - The Fixed Fee code you have entered is not valid with time spent on the case" self._test_generated_2018_contract_row_validate_fails(override=test_values, expected_error=expected_error) @override_settings(CONTRACT_2018_ENABLED=True) def test_validator_hourly_rate_fixed_fee_time_spent(self): test_values = { "Matter Type 1": u"DTOT", "Matter Type 2": u"DOTH", "Stage Reached": u"DB", "Fixed Fee Code": u"HR", "Time Spent": u"900", } self._test_generated_contract_row_validates(override=test_values) @override_settings(CONTRACT_2018_ENABLED=True) def test_validator_hourly_rate_fixed_fee_insufficient_time_spent(self): test_values = { "Matter Type 1": u"DTOT", "Matter Type 2": u"DOTH", "Stage Reached": u"DB", "Fixed Fee Code": u"HR", "Time Spent": u"899", } expected_error = u"Row: 1 - The Fixed Fee code you have entered is not valid with time spent on the case" self._test_generated_2018_contract_row_validate_fails(override=test_values, expected_error=expected_error) @override_settings(CONTRACT_2018_ENABLED=True) def test_fixed_fee_code_df_is_valid(self): test_values = { "Eligibility Code": u"V", "Matter Type 1": u"HRNT", "Matter Type 2": u"HPRI", "Stage Reached": u"HA", "Fixed Fee Code": u"DF", "Fixed Fee Amount": u"40.0", "Determination": u"FINI", } self._test_generated_contract_row_validates(override=test_values) @override_settings(CONTRACT_2018_ENABLED=True) def test_df_fixed_fee_amount_is_valid(self): test_values = { "Eligibility Code": u"V", "Matter Type 1": u"HRNT", "Matter Type 2": u"HPRI", "Stage Reached": u"HA", "Fixed Fee Code": u"DF", "Determination": u"FINI", } valid_amounts = [0, 0.50, 10, 20.50, 40] for amount in valid_amounts: test_values["Fixed Fee Amount"] = u"{}".format(amount) self._test_generated_contract_row_validates(override=test_values) @override_settings(CONTRACT_2018_ENABLED=True) def test_df_fixed_fee_amount_invalid(self): test_values = { "Eligibility Code": u"V", "Matter Type 1": u"HRNT", "Matter Type 2": u"HPRI", "Stage Reached": u"HA", "Fixed Fee Code": u"DF", "Determination": u"FINI", } invalid_amounts = [40.01, 100] for amount in invalid_amounts: test_values["Fixed Fee Amount"] = u"{}".format(amount) expected_error = u"Row: 1 - The value you have entered exceeds the Fixed Fee" self._test_generated_2018_contract_row_validate_fails(override=test_values, expected_error=expected_error) @override_settings(CONTRACT_2018_ENABLED=True) def test_df_fixed_fee_negative_amount_fails(self): test_values = { "Eligibility Code": u"V", "Matter Type 1": u"HRNT", "Matter Type 2": u"HPRI", "Stage Reached": u"HA", "Fixed Fee Code": u"DF", "Fixed Fee Amount": u"-1", "Determination": u"FINI", } expected_error = u"Row: 1 Field (20 / T): Fixed Fee Amount - Field must be >= 0" self._test_generated_2018_contract_row_validate_fails(override=test_values, expected_error=expected_error) # TODO enable when Matter Type 1 MSCB added # @override_settings(CONTRACT_2018_ENABLED=True) # def test_validator_misc_rate_fixed_fee(self): # test_values = {"Matter Type 1": u"MSCB", "Fixed Fee Amount": u"", "Fixed Fee Code": u"MR"} # self._test_generated_2018_contract_row_validates(override=test_values) @override_settings(CONTRACT_2018_ENABLED=True) def test_validator_hwfm_rate_fixed_fee(self): test_values = { "Eligibility Code": u"V", "Matter Type 1": u"FAMY", "Matter Type 2": u"FMEC", "Fixed Fee Amount": u"119.6", "Fixed Fee Code": u"HM", } self._test_generated_contract_row_validates(override=test_values) @override_settings(CONTRACT_2018_ENABLED=True) def test_validator_hwfm_rate_fixed_fee_mt1_incorrect(self): test_values = { "Eligibility Code": u"V", "Matter Type 1": u"FAMZ", "Matter Type 2": u"FMEC", "Fixed Fee Amount": u"119.6", "Fixed Fee Code": u"HM", } expected_error = ( u"Row: 1 - The Fixed Fee code you have entered is not valid with the Matter Type 1 Code entered" ) self._test_generated_2018_contract_row_validate_fails(override=test_values, expected_error=expected_error) @override_settings(CONTRACT_2018_ENABLED=True) def test_validator_mt1_fixed_fee_code_mismatch(self): test_values = { "Matter Type 1": u"FAMY", "Matter Type 2": u"FMEC", "Fixed Fee Amount": u"119.6", "Fixed Fee Code": u"LF", } expected_error = u"Row: 1 - The HM fee code should be used where Matter Type 1 Code - FAMY is used" self._test_generated_2018_contract_row_validate_fails(override=test_values, expected_error=expected_error) @override_settings(CONTRACT_2018_ENABLED=True) def test_hourly_rate_hr_fixed_fee_code(self): test_values = { "Eligibility Code": u"V", "Matter Type 1": u"DMAP", "Matter Type 2": u"DOTH", "Stage Reached": u"DB", "Fixed Fee Amount": u"119.6", "Fixed Fee Code": u"HR", "Time Spent": u"900", } self._test_generated_contract_row_validates(override=test_values) @override_settings(CONTRACT_2018_ENABLED=True) def test_eligibility_codes_with_lf_fixed_fee(self): lf_eligibility_codes = {u"S", u"T", u"V", u"W", u"X", u"Z"} test_values = { "Matter Type 1": u"DTOT", "Matter Type 2": u"DOTH", "Stage Reached": u"DB", "Fixed Fee Code": u"LF", } for eligibility_code in lf_eligibility_codes: test_values["Eligibility Code"] = eligibility_code self._test_generated_contract_row_validates(override=test_values) @override_settings(CONTRACT_2018_ENABLED=True) def test_eligibility_codes_missing_lf_fixed_fee(self): lf_eligibility_codes = {u"S", u"W", u"X", u"Z"} test_values = { "Matter Type 1": u"DTOT", "Matter Type 2": u"DOTH", "Stage Reached": u"DB", "Fixed Fee Amount": u"65", "Fixed Fee Code": u"HF", "Time Spent": u"133", } for eligibility_code in lf_eligibility_codes: test_values["Eligibility Code"] = eligibility_code expected_error = ( u"Row: 1 - The Fixed Fee code you have entered is not valid with the Eligibility Code entered" ) self._test_generated_2018_contract_row_validate_fails(override=test_values, expected_error=expected_error) @override_settings(CONTRACT_2018_ENABLED=True) def test_eligibility_codes_with_hf_fixed_fee(self): hf_eligibility_codes = {u"T", u"V"} test_values = { "Matter Type 1": u"DTOT", "Matter Type 2": u"DOTH", "Stage Reached": u"DB", "Fixed Fee Code": u"HF", "Time Spent": u"133", } for eligibility_code in hf_eligibility_codes: test_values["Eligibility Code"] = eligibility_code self._test_generated_contract_row_validates(override=test_values) @override_settings(CONTRACT_2018_ENABLED=True) def test_eligibility_codes_missing_hf_fixed_fee(self): lf_eligibility_codes = {u"S", u"W", u"X", u"Z"} test_values = { "Matter Type 1": u"DTOT", "Matter Type 2": u"DOTH", "Stage Reached": u"DB", "Fixed Fee Amount": u"65", "Fixed Fee Code": u"HF", "Time Spent": u"133", } for eligibility_code in lf_eligibility_codes: test_values["Eligibility Code"] = eligibility_code expected_error = ( u"Row: 1 - The Fixed Fee code you have entered is not valid with the Eligibility Code entered" ) self._test_generated_2018_contract_row_validate_fails(override=test_values, expected_error=expected_error) @override_settings(CONTRACT_2018_ENABLED=True) def test_fixed_fee_invalid_error_message(self): test_values = { "Matter Type 1": u"DTOT", "Matter Type 2": u"DOTH", "Stage Reached": u"DB", "Fixed Fee Code": u"NA", "Time Spent": u"133", } expected_error = u"Row: 1 - The Fixed Fee code you have entered is not valid for this case" self._test_generated_2018_contract_row_validate_fails(override=test_values, expected_error=expected_error) @override_settings(CONTRACT_2018_ENABLED=True) def test_discrimination_eligibility_codes(self): code = u"S" time = u"135" test_values = { "Matter Type 1": u"QPRO", "Matter Type 2": u"QAGE", "Stage Reached": u"QA", "Fixed Fee Code": u"NA", "Eligibility Code": code, "Time Spent": time, } expected_error = u"Row: 1 - The eligibility code ({code}) you have entered is not valid with the time spent ({time}) on this case, please review the eligibility code.".format( code=code, time=time ) self._test_generated_2018_contract_row_validate_fails(override=test_values, expected_error=expected_error) @override_settings(CONTRACT_2018_ENABLED=True) def test_education_eligibility_codes(self): code = u"Z" time = u"135" test_values = { "Matter Type 1": u"ESEN", "Matter Type 2": u"ECOL", "Stage Reached": u"ED", "Fixed Fee Code": u"NA", "Eligibility Code": code, "Time Spent": time, } expected_error = u"Row: 1 - The eligibility code ({code}) you have entered is not valid with the time spent ({time}) on this case, please review the eligibility code.".format( code=code, time=time ) self._test_generated_2018_contract_row_validate_fails(override=test_values, expected_error=expected_error) @override_settings(CONTRACT_2018_ENABLED=True) def test_discrimination_fixed_fee_invalid_error_message(self): test_values = { "Matter Type 1": u"HHOM", "Matter Type 2": u"HHLS", "Stage Reached": u"HB", "Fixed Fee Amount": u"130", "Fixed Fee Code": u"HF", "Time Spent": u"90", "Date Opened": u"24/07/2018", "Date Closed": u"17/01/2019", } expected_error = u"Row: 1 - Fixed Fee Code NA must be entered for 2013 cases (pre-01/09/18), 2018 Discrimination cases or 2018 Education cases" self._test_generated_2018_contract_row_validate_fails(override=test_values, expected_error=expected_error) @override_settings(CONTRACT_2018_ENABLED=True) def test_education_fixed_fee_invalid_error_message(self): test_values = { "Matter Type 1": u"ESEN", "Matter Type 2": u"ENUR", "Stage Reached": u"EA", "Fixed Fee Amount": u"130", "Fixed Fee Code": u"HF", "Time Spent": u"90", "Date Opened": u"24/09/2018", "Date Closed": u"17/01/2019", } expected_error = u"Row: 1 - Fixed Fee Code NA must be entered for 2013 cases (pre-01/09/18), 2018 Discrimination cases or 2018 Education cases" self._test_generated_2018_contract_row_validate_fails(override=test_values, expected_error=expected_error) @override_settings(CONTRACT_2018_ENABLED=True) def test_signposting_code(self): test_values = { "Matter Type 1": u"EPRO", "Matter Type 2": u"ESOS", "Stage Reached": u"EA", "Signposting / Referral": u"OOSC", "Fixed Fee Code": u"NA", } self._test_generated_contract_row_validates(override=test_values) @override_settings(CONTRACT_2018_ENABLED=True) def test_signposting_lrep_code(self): test_values = { "Matter Type 1": u"EPRO", "Matter Type 2": u"ESOS", "Stage Reached": u"EA", "Signposting / Referral": u"LREP", "Fixed Fee Code": u"NA", } self._test_generated_contract_row_validates(override=test_values) @override_settings(CONTRACT_2018_ENABLED=True) def test_signposting_code_invalid(self): test_values = { "Matter Type 1": u"EPRO", "Matter Type 2": u"ESOS", "Stage Reached": u"EA", "Signposting / Referral": u"FOO", "Fixed Fee Code": u"NA", } expected_error = ( u"Row: 1 - The Signposting / Referral code you have entered is invalid. Please enter a valid code." ) self._test_generated_2018_contract_row_validate_fails(override=test_values, expected_error=expected_error) @override_settings(CONTRACT_2018_ENABLED=True) def test_signposting_code_present_for_outcome_codes(self): test_values = { "Matter Type 1": u"EPRO", "Matter Type 2": u"ESOS", "Stage Reached": u"EB", "Outcome Code": u"EU", "Signposting / Referral": u"OOSC", "Fixed Fee Code": u"NA", } self._test_generated_contract_row_validates(override=test_values) @override_settings(CONTRACT_2018_ENABLED=True) def test_signposting_code_missing_for_outcome_codes(self): test_values = { "Matter Type 1": u"EPRO", "Matter Type 2": u"ESOS", "Stage Reached": u"EB", "Outcome Code": u"EV", "Signposting / Referral": u"", } expected_error = ( u"Row: 1 - A Signposting / Referral reason code must be entered for matters with outcome code EV." ) self._test_generated_2018_contract_row_validate_fails(override=test_values, expected_error=expected_error) @override_settings(CONTRACT_2018_ENABLED=True) def test_df_fixed_fee_has_determination_code(self): test_values = { "Eligibility Code": u"V", "Matter Type 1": u"DTOT", "Matter Type 2": u"DOTH", "Fixed Fee Code": u"DF", "Fixed Fee Amount": u"40.0", "Determination": u"FINI", } self._test_generated_contract_row_validates(override=test_values) @override_settings(CONTRACT_2018_ENABLED=True) def test_df_fixed_fee_missing_determination_code(self): test_values = { "Eligibility Code": u"V", "Matter Type 1": u"DTOT", "Matter Type 2": u"DOTH", "Stage Reached": u"DB", "Fixed Fee Code": u"DF", } expected_error = u"Row: 1 - The Fixed Fee code you have entered is not valid with Determination Code entered" self._test_generated_2018_contract_row_validate_fails(override=test_values, expected_error=expected_error) class DependsOnDecoratorTestCase(unittest.TestCase): def test_method_called(self): class Test1(object): @v.depends_on("a", check=v.value_is_truthy) def do_something(self, d): return 1 inst = Test1() self.assertEqual(1, inst.do_something({"a": True})) def test_method_called_default_check_is_TRUTHY(self): class Test1(object): @v.depends_on("a") def do_something(self, d): return 1 inst = Test1() self.assertEqual(1, inst.do_something({"a": True})) def test_method_not_called(self): class Test1(object): @v.depends_on("a", check=v.value_is_falsey) def do_something(self, d): return 1 inst = Test1() self.assertEqual(None, inst.do_something({"a": True}))

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3417e03c0aa2c4c4cb41cc1a2b92b03790a29956

225

py

Python

Nuh/nuh/admin.py

Nuh-Help/Web-App

b060dae2f2885e80b93c7698d3db0ea39eb124bf

[ "Apache-2.0" ]

null

Nuh/nuh/admin.py

Nuh-Help/Web-App

b060dae2f2885e80b93c7698d3db0ea39eb124bf

[ "Apache-2.0" ]

null

Nuh/nuh/admin.py

Nuh-Help/Web-App

b060dae2f2885e80b93c7698d3db0ea39eb124bf

[ "Apache-2.0" ]

null

from django.contrib import admin from django.contrib.auth.admin import UserAdmin from .models import User # Registering custom user from .models and making it capable of being user admin admin.site.register(User, UserAdmin)

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py

Python

LIVE/mayapp/sys.py

ProgressBG-Python-Course/ProgressBG-VC-Python

37f8be60fb73d558ebd9e3c2700c88dcb64e7f4f

[ "MIT" ]

null

LIVE/mayapp/sys.py

ProgressBG-Python-Course/ProgressBG-VC-Python

37f8be60fb73d558ebd9e3c2700c88dcb64e7f4f

[ "MIT" ]

null

LIVE/mayapp/sys.py

ProgressBG-Python-Course/ProgressBG-VC-Python

37f8be60fb73d558ebd9e3c2700c88dcb64e7f4f

[ "MIT" ]

null

print("sys.py fired")

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345c38fa7b0568e6ccccc44a8b954523cee743e7

199

py

Python

store/urls.py

Jeffmusa/smartFridge

89c5dfca68ca80a36c062aa1bb195e6cf8f1a10f

[ "MIT" ]

null

store/urls.py

Jeffmusa/smartFridge

89c5dfca68ca80a36c062aa1bb195e6cf8f1a10f

[ "MIT" ]

null

store/urls.py

Jeffmusa/smartFridge

89c5dfca68ca80a36c062aa1bb195e6cf8f1a10f

[ "MIT" ]

null

from django.conf.urls import url,include from . import views as d from django.conf.urls.static import static from django.conf import settings urlpatterns=[ url(r'^$',d.store,name='store'), ]

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cab5003260a0d9585170be6d5d2925c36898815d

7,687

py

Python

tetra/dos.py

tflovorn/tetra

c5a1e1938f8720c9023b45a7a001220a3e06fa1d

[ "MIT" ]

10

2018-03-30T19:56:45.000Z

2021-12-29T13:53:26.000Z

tetra/dos.py

tflovorn/tetra

c5a1e1938f8720c9023b45a7a001220a3e06fa1d

[ "MIT" ]

null

tetra/dos.py

tflovorn/tetra

c5a1e1938f8720c9023b45a7a001220a3e06fa1d

[ "MIT" ]

2

2018-03-30T19:57:08.000Z

2022-01-26T22:31:35.000Z

from multiprocessing import Pool import numpy as np from tetra.ksample import OptimizeGs, MakeEks from tetra.submesh import MakeSubmesh, MakeTetra from tetra.fermi import _minimum_E, _maximum_E from tetra.numstates import _tetra_Es def DosValues_AllE(num_Es, n, Efn, R): '''Return a list of D(E) values giving the density of states at energy E summed over all tetrahedra and band indices; E ranges over num_Es equally spaced values from the minimum energy eigenvalue to the maximum energy eigenvalue. Also returns the list of energy values used and lists of tetrahedra and E(k) values so that these can be used in further calculations (such as FindFermi()). The calculation of D(E) is implemented as described in BJA94 Appendix C. n = Brillouin zone submesh density (the total number of k-points sampled is (n+1)**3). Efn = a function E(k) which returns a list of the band energies at the Brillouin zone point k, with the returned list sorted in ascending order; k is expressed in the reciprocal lattice basis. R = a numpy matrix with rows given by the reciprocal lattice vectors. ''' # Get E(k) values and tetras. tetras, Eks = _dos_setup(n, Efn, R) Emin, Emax = _minimum_E(Eks), _maximum_E(Eks) # Get D(E) values. E_vals = np.linspace(Emin, Emax, num_Es) dos_args, dos_vals = [], None for E in E_vals: dos_args.append([E, tetras, Eks]) with Pool() as pool: dos_vals = pool.starmap(Dos, dos_args) return dos_vals, E_vals, tetras, Eks def DosValues(Emin, Emax, num_Es, n, Efn, R): '''Return a list of D(E) values giving the density of states at energy E summed over all tetrahedra and band indices; E ranges over num_Es equally spaced values from Emin to Emax. Also returns the list of energy values used and lists of tetrahedra and E(k) values so that these can be used in further calculations (such as FindFermi()). The calculation of D(E) is implemented as described in BJA94 Appendix C. n = Brillouin zone submesh density (the total number of k-points sampled is (n+1)**3). Efn = a function E(k) which returns a list of the band energies at the Brillouin zone point k, with the returned list sorted in ascending order; k is expressed in the reciprocal lattice basis. R = a numpy matrix with rows given by the reciprocal lattice vectors. ''' tetras, Eks = _dos_setup(n, Efn, R) # Get D(E) values. E_vals = np.linspace(Emin, Emax, num_Es) dos_vals = [] for E in E_vals: dos_vals.append(Dos(E, tetras, Eks)) return dos_vals, E_vals, tetras, Eks def _dos_setup(n, Efn, R): # Get optimal reciprocal lattice orientation. G_order, G_neg = OptimizeGs(R) # Generate submesh and tetrahedra. submesh = MakeSubmesh(n) tetras = MakeTetra(n) # Sample E(k). Eks = MakeEks(Efn, submesh, G_order, G_neg) return tetras, Eks def DosValuesPerBand(Emin, Emax, num_Es, n, Efn, R): '''Return a list of D_i(E) values giving the density of states at energy E summed over all tetrahedra separated by band index i; E ranges over num_Es equally spaced values from Emin to Emax. Also returns the list of energy values used and lists of tetrahedra and E(k) values so that these can be used in further calculations (such as FindFermi()). The calculation of D(E) is implemented as described in BJA94 Appendix C. n = Brillouin zone submesh density (the total number of k-points sampled is (n+1)**3). Efn = a function E(k) which returns a list of the band energies at the Brillouin zone point k, with the returned list sorted in ascending order; k is expressed in the reciprocal lattice basis. R = a numpy matrix with rows given by the reciprocal lattice vectors. ''' tetras, Eks = _dos_setup(n, Efn, R) # Get D(E) values. E_vals = np.linspace(Emin, Emax, num_Es) dos_vals = [] for E in E_vals: dos_vals.append(DosPerBand(E, tetras, Eks)) return dos_vals, E_vals, tetras, Eks def DosPerBand(E, tetras, Eks): '''Return a list with elements D_i(E), the density of states at energy E summed over all tetrahedra separated by band index i. The calculation of D_T(E) is implemented as described in BJA94 Appendix C. tetras = a list of tuples of the form (kN1, kN2, kN3, kN4) denoting the vertices of tetrahedra to include in the summation, where the kN's are indices of submesh (i.e. submesh[kN1] = k1, etc.). The tetrahedra must be constructed as described in BJA94 Section III. Eks = a list in which each element is a sorted list of eigenstate energies E_n(k), with k being the k-point at the corresponding element of submesh (i.e. Eks[kN][band_index] = E_n(k)). ''' num_bands = len(Eks[0]) num_tetra = len(tetras) Dis = [0.0]*num_bands for tet in tetras: for band_index in range(num_bands): Dis[band_index] += DosContrib(E, tet, num_tetra, Eks, band_index) return Dis def Dos(E, tetras, Eks): '''Return D(E), the density of states at energy E summed over all tetrahedra and band indices. The calculation of D_T(E) is implemented as described in BJA94 Appendix C. tetras = a list of tuples of the form (kN1, kN2, kN3, kN4) denoting the vertices of tetrahedra to include in the summation, where the kN's are indices of submesh (i.e. submesh[kN1] = k1, etc.). The tetrahedra must be constructed as described in BJA94 Section III. Eks = a list in which each element is a sorted list of eigenstate energies E_n(k), with k being the k-point at the corresponding element of submesh (i.e. Eks[kN][band_index] = E_n(k)). ''' num_bands = len(Eks[0]) num_tetra = len(tetras) D = 0.0 for tet in tetras: for band_index in range(num_bands): D += DosContrib(E, tet, num_tetra, Eks, band_index) return D def DosContrib(E, tetra, num_tetra, Eks, band_index): '''Return the contribution to the density of states at energy E from the specified band index and tetrahedron. The calculation of D_T(E) is implemented as described in BJA94 Appendix C. tetra = a tuple of the form (kN1, kN2, kN3, kN4) denoting the vertices of a tetrahedron to include in the Brillouin zone summation, where the kN's are indices of submesh (i.e. submesh[kN1] = k1, etc.). The tetrahedra must be constructed as described in BJA94 Section III. num_tetra = total number of tetrahedra in the full Brillouin zone. Equal to (volume of tetrahedron) / (volume of full BZ). Eks = a list in which each element is a sorted list of eigenstate energies E_n(k), with k being the k-point at the corresponding element of submesh (i.e. Eks[kN][band_index] = E_n(k)). band_index = the band index n to consider, corresponding to n in E_n(k). ''' E1, E2, E3, E4 = _tetra_Es(tetra, band_index, Eks) if E <= E1: return 0.0 elif E1 <= E <= E2: if E1 == E2: return 0.0 return (1/num_tetra) * 3*(E - E1)**2/((E2 - E1)*(E3 - E1)*(E4 - E1)) elif E2 <= E <= E3: if E2 == E3: return (1.0 / num_tetra) * 3.0 * (E2 - E1) / ((E3 - E1) * (E4 - E1)) fac = (1/num_tetra) / ((E3 - E1)*(E4 - E1)) elin = 3*(E2 - E1) + 6*(E - E2) esq = -3*(((E3 - E1) + (E4 - E2))/((E3 - E2)*(E4 - E2))) * (E - E2)**2 return fac * (elin + esq) elif E3 <= E <= E4: if E3 == E4: return 0.0 return (1/num_tetra) * 3*(E4 - E)**2/((E4 - E1)*(E4 - E2)*(E4 - E3)) else: # E >= E4 return 0.0

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5

caf13a7c7708852198d3ebf8e4b6c21c7e40292e

55

py

Python

shiva/lyrics/__init__.py

tooxie/shiva-server

4d169aae8d4cb01133f62701b14610695e48c297

[ "MIT" ]

70

2015-01-09T15:15:15.000Z

2022-01-14T09:51:55.000Z

shiva/lyrics/__init__.py

thinkbox/shiva-server

2407650f365806debc892471e9d59ec1bc67f9d4

[ "MIT" ]

14

2015-01-04T10:08:26.000Z

2021-12-13T19:35:07.000Z

shiva/lyrics/__init__.py

thinkbox/shiva-server

2407650f365806debc892471e9d59ec1bc67f9d4

[ "MIT" ]

19

2015-01-02T22:42:01.000Z

2022-01-14T09:51:59.000Z

from shiva.lyrics.base import get_lyrics, LyricScraper

27.5

54

0.854545

8

55

5.75

0.875

0

0.090909

55

1

55

0.92

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

cafbe4cc263bda7af456530c160abd3cebf69240

83

py

Python

gifusion_back/key.py

Piwit/gifusion

f3f9b56dab444ada705856dfeb568ac476f8ee9c

[ "MIT" ]

1

2019-11-05T18:07:24.000Z

gifusion_back/key.py

Piwit/gifusion

f3f9b56dab444ada705856dfeb568ac476f8ee9c

[ "MIT" ]

1

2021-06-02T00:38:02.000Z

gifusion_back/key.py

Piwit/gifusion

f3f9b56dab444ada705856dfeb568ac476f8ee9c

[ "MIT" ]

null

import os GIPHY_KEY = os.environ['GIPHY_KEY'] TENOR_KEY = os.environ['TENOR_KEY']

16.6

35

0.746988

14

83

4.142857

0.428571

0.275862

0.413793

0

0.108434

83

4

36

20.75

0.783784

0

0.216867

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

5

1b3ea22336dc5979e0cd25f95117370dccdc6c6b

125

py

Python

targpg/__init__.py

spslater/targpg

1b9dcd53f3127f400ec9e873e210be1c0ddfe02a

[ "MIT" ]

null

targpg/__init__.py

spslater/targpg

1b9dcd53f3127f400ec9e873e210be1c0ddfe02a

[ "MIT" ]

4

2021-11-01T05:15:06.000Z

2021-11-01T05:22:32.000Z

targpg/__init__.py

spslater/targpg

1b9dcd53f3127f400ec9e873e210be1c0ddfe02a

[ "MIT" ]

null

"""Targpg - secure a compressed tarfile with gpg password""" from .targpg import * from .meta import * from .parser import *

25

60

0.728

17

125

5.352941

0.705882

0.21978

0

0.168

125

4

61

31.25

0.875

0.432

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

1b4d1146b549ddf46c548afa421ffb31143d5dd9

132

py

Python

strongr/clouddomain/command/__init__.py

bigr-erasmusmc/StrongR

48573e170771a251f629f2d13dba7173f010a38c

[ "Apache-2.0" ]

null

strongr/clouddomain/command/__init__.py

bigr-erasmusmc/StrongR

48573e170771a251f629f2d13dba7173f010a38c

[ "Apache-2.0" ]

null

strongr/clouddomain/command/__init__.py

bigr-erasmusmc/StrongR

48573e170771a251f629f2d13dba7173f010a38c

[ "Apache-2.0" ]

null

from .runjob import RunJob from .deployvms import DeployVms from .destroyvms import DestroyVms from .jobfinished import JobFinished

26.4

36

0.848485

16

132

7

0.375

0

0.121212

132

4

37

33

0.965517

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

1b615289f8276081ff1164f4031bb84c0ce614c9

183

py

Python

fython/test/imp.py

nicolasessisbreton/fython

988f5a94cee8b16b0000501a22239195c73424a1

[ "Apache-2.0" ]

41

2016-01-21T05:14:45.000Z

2021-11-24T20:37:21.000Z

fython/test/imp.py

nicolasessisbreton/fython

988f5a94cee8b16b0000501a22239195c73424a1

[ "Apache-2.0" ]

5

2016-01-21T05:36:37.000Z

2016-08-22T19:26:51.000Z

fython/test/imp.py

nicolasessisbreton/fython

988f5a94cee8b16b0000501a22239195c73424a1

[ "Apache-2.0" ]

3

2016-01-23T04:03:44.000Z

2016-08-21T15:58:38.000Z

from importlib import import_module from fython.config import * def imp(url): url = Url( url = url, cwd = get_frame_dir(1), ext = exts.py, ) return import_module(url.dotted)

18.3

35

0.704918

29

183

4.310345

0.655172

0.192

0.216

0.192

0

0.006711

0.185792

183

10

36

18.3

0.832215

0

1

0.111111

false

0

0.333333

0

0.555556

0

1

0

null

0

1

0

null

0

1

0

1

0

5

1b697b89664b45825603ded310bc1eabda882931

952

py

Python

cd_core/datasets/pipelines/transformers.py

shinianzhihou/change_detection.pytorch

e365eb1d97ebbce400ffc4230ac0fa063638fe05

[ "Apache-2.0" ]

1

2021-02-12T16:29:08.000Z

cd_core/datasets/pipelines/transformers.py

shinianzhihou/change_detection.pytorch

e365eb1d97ebbce400ffc4230ac0fa063638fe05

[ "Apache-2.0" ]

null

cd_core/datasets/pipelines/transformers.py

shinianzhihou/change_detection.pytorch

e365eb1d97ebbce400ffc4230ac0fa063638fe05

[ "Apache-2.0" ]

null

import random from torchvision import transforms from torchvision.transforms import functional as tvF from ..builder import PIPELINES # TODO(snian) add more transformers # @PIPELINES.register_module() # class ToTensor(transforms.ToTensor): # def __call__(self,pics): # return [tvF.to_tensor(pic) for pic in pics] # @PIPELINES.register_module() # class ToPILImage(transforms.ToPILImage): # def __call__(self,imgs): # return [tvF.to_pil_image(img,self.mode) for img in imgs] # @PIPELINES.register_module() # class RandomHorizontalFlip(transforms.RandomHorizontalFlip): # def __call__(self,imgs): # if random.random() < self.p: # return [tvF.hflip(img) for img in imgs] # return imgs # @PIPELINES.register_module() # class RandomVerticalFlip(transforms.RandomVerticalFlip): # def __call__(self,imgs): # if random.random() < self.p: # return [tvF.vflip(img) for img in imgs] # return imgs

27.2

62

0.714286

117

952

5.615385

0.350427

0.103501

0.14003

0.170472

0.298326

0.207002

0.130898

0

0.172269

952

34

63

28

0.833756

0.789916

0

0.029412

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

1

0

5

1b6fca9f6264f0b9a42c1b9b51d9872802f713e0

34

py

Python

config.py

ericpiper/beerapplication

19350f16f552eb64ac455b08a6a1b712e1e3735c

[ "CC0-1.0" ]

null

config.py

ericpiper/beerapplication

19350f16f552eb64ac455b08a6a1b712e1e3735c

[ "CC0-1.0" ]

null

config.py

ericpiper/beerapplication

19350f16f552eb64ac455b08a6a1b712e1e3735c

[ "CC0-1.0" ]

null

pw = "YOUR POSTGRES PASSWORD HERE"

34

0.764706

5

34

5.2

1

0

0.147059

34

1

34

0.896552

0

0.771429

0

1

0

false

1

0

1

0

null

0

1

0

1

0

null

0

1

0

5

1b7751b8318b9aa3319a0f134bea1f449242e38a

61

py

Python

BatchLabelMap/automatic/pydicom/overlays/__init__.py

weras2/BatchLabelMap

56af3d20df79f6b10a5d932278a33d02020d1e59

[ "MIT" ]

null

BatchLabelMap/automatic/pydicom/overlays/__init__.py

weras2/BatchLabelMap

56af3d20df79f6b10a5d932278a33d02020d1e59

[ "MIT" ]

1

2020-11-26T19:53:16.000Z

BatchLabelMap/automatic/pydicom/overlays/__init__.py

weras2/BatchLabelMap

56af3d20df79f6b10a5d932278a33d02020d1e59

[ "MIT" ]

null

from pydicom.overlays.numpy_handler import get_overlay_array

30.5

60

0.901639

9

61

5.777778

1

0

0.065574

61

1

61

0.912281

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

1b7f54e93286aa5aa08b38c824ed45bd00007e31

90

py

Python

Transformers-from-scratch/tfb/__init__.py

shreyansh26/DL-Code-Repository

f1974eedc1fef54b2d274703390a22721e46f502

[ "MIT" ]

null

Transformers-from-scratch/tfb/__init__.py

shreyansh26/DL-Code-Repository

f1974eedc1fef54b2d274703390a22721e46f502

[ "MIT" ]

null

Transformers-from-scratch/tfb/__init__.py

shreyansh26/DL-Code-Repository

f1974eedc1fef54b2d274703390a22721e46f502

[ "MIT" ]

null

from .modules import SelfAttention from .transformer import GTransformer, CTransformer

22.5

51

0.833333

9

90

8.333333

0.777778

0

0.133333

90

4

51

22.5

0.961538

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

1b898c28f525b026700556aac6c70ef8f5552d5d

82

py

Python

mvvm/mvvm/models/entities/note.py

2110521-2563-1-Software-Architecture/four-guys-one-cup-assignment3

fb771f7521a15aea5c5b563ff87dbcd83edbec77

[ "MIT" ]

null

mvvm/mvvm/models/entities/note.py

2110521-2563-1-Software-Architecture/four-guys-one-cup-assignment3

fb771f7521a15aea5c5b563ff87dbcd83edbec77

[ "MIT" ]

null

mvvm/mvvm/models/entities/note.py

2110521-2563-1-Software-Architecture/four-guys-one-cup-assignment3

fb771f7521a15aea5c5b563ff87dbcd83edbec77

[ "MIT" ]

null

class Note: def __init__(self, content: str): self.content = content

16.4

37

0.634146

10

82

4.8

0.7

0.458333

0

0.268293

82

4

38

20.5

0.8

0

1

0.333333

false

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

1bda578752d521fc558317c2fa8f437052ee7f21

165

py

Python

scripts/rewards/polygon/approve_polygon.py

gosuto-ai/badger-rewards

45a7cefce2035bc385bebf5f103780c7ff614304

[ "MIT" ]

3

2022-01-05T20:33:35.000Z

2022-02-09T16:07:30.000Z

scripts/rewards/polygon/approve_polygon.py

gosuto-ai/badger-rewards

45a7cefce2035bc385bebf5f103780c7ff614304

[ "MIT" ]

341

2021-08-04T13:01:21.000Z

2022-03-31T19:46:30.000Z

scripts/rewards/polygon/approve_polygon.py

gosuto-ai/badger-rewards

45a7cefce2035bc385bebf5f103780c7ff614304

[ "MIT" ]

3

2021-09-07T12:54:27.000Z

2021-12-22T13:27:23.000Z

from helpers.enums import Network from scripts.rewards.utils.approve_rewards import approve_rewards if __name__ == "__main__": approve_rewards(Network.Polygon)

27.5

65

0.818182

21

165

5.904762

0.619048

0.33871

0

0.109091

165

5

66

33

0.843537

0

0.048485

0

1

0

true

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

59fb6e1a0a1d0b6cd803ca0a4d7f32ceeb353bb3

63

py

Python

pymongo_smart_auth/__init__.py

PLPeeters/PyMongo-Smart-Auth

41bfd16cfa9338f03214d4c9488f6190a14628ae

[ "MIT" ]

1

2017-06-02T07:58:41.000Z

pymongo_smart_auth/__init__.py

PLPeeters/PyMongo-Smart-Auth

41bfd16cfa9338f03214d4c9488f6190a14628ae

[ "MIT" ]

null

pymongo_smart_auth/__init__.py

PLPeeters/PyMongo-Smart-Auth

41bfd16cfa9338f03214d4c9488f6190a14628ae

[ "MIT" ]

null

from pymongo_smart_auth.MongoConnection import MongoConnection

31.5

62

0.920635

7

63

8

0.857143

0

0.063492

63

1

63

0.949153

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

940432f56eda8624b9f94ece7b7d6926c730b945

57

py

Python

services/Telegram-bot/config.py

vadimkholodilo/COVID_19_bot

0021ee5604ddd7fa10ea16babcd6470e3a393705

[ "MIT" ]

null

services/Telegram-bot/config.py

vadimkholodilo/COVID_19_bot

0021ee5604ddd7fa10ea16babcd6470e3a393705

[ "MIT" ]

null

services/Telegram-bot/config.py

vadimkholodilo/COVID_19_bot

0021ee5604ddd7fa10ea16babcd6470e3a393705

[ "MIT" ]

null

token = "1250452288:AAF96rdBNqy9MPM_DO-k_foif_ZicW9yEls"

28.5

56

0.859649

7

57

6.571429

1

0

0.259259

0.052632

57

1

57

0.592593

0

0.807018

0

1

0

false

0

1

0

null

0

1

0

1

0

1

null

0

5

940ad9f8fcfdb34016a473dbb080610cb5c8fafc

97

py

Python

localstack/utils/generic/singleton_utils.py

matt-mercer/localstack

b69ba25e495c6ef889d33a050b216d0cd1035041

[ "Apache-2.0" ]

1

2022-03-17T07:22:23.000Z

localstack/utils/generic/singleton_utils.py

matt-mercer/localstack

b69ba25e495c6ef889d33a050b216d0cd1035041

[ "Apache-2.0" ]

null

localstack/utils/generic/singleton_utils.py

matt-mercer/localstack

b69ba25e495c6ef889d33a050b216d0cd1035041

[ "Apache-2.0" ]

null

# DEPRECATED: use localstack.utils.objects from ..objects import SubtypesInstanceManager # noqa

32.333333

53

0.814433

10

97

7.9

0.9

0

0.113402

97

2

54

48.5

0.918605

0.463918

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

940e11770793512a67a62b81179b26dc7892efcb

103

py

Python

src/pricecypher/collections/__init__.py

marketredesign/pricecypher_python_api

613818da8c5e87e99c45dcee710a839169135a8f

[ "MIT" ]

null

src/pricecypher/collections/__init__.py

marketredesign/pricecypher_python_api

613818da8c5e87e99c45dcee710a839169135a8f

[ "MIT" ]

null

src/pricecypher/collections/__init__.py

marketredesign/pricecypher_python_api

613818da8c5e87e99c45dcee710a839169135a8f

[ "MIT" ]

null

from .scope_collection import ScopeCollection from .scope_value_collection import ScopeValueCollection

34.333333

56

0.902913

11

103

8.181818

0.636364

0.2

0

0.07767

103

2

57

51.5

0.947368

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

94257f0386e8daf5627d2ac31b01b3424d479dd2

1,067

py

Python

src/isle/meas/__init__.py

chelseajohn/isle

f610b55a1e8b6d2584896eb649092b0524cc1f8c

[ "MIT" ]

2

2021-01-14T17:47:01.000Z

2021-07-16T22:31:25.000Z

src/isle/meas/__init__.py

chelseajohn/isle

f610b55a1e8b6d2584896eb649092b0524cc1f8c

[ "MIT" ]

21

2018-06-04T07:09:02.000Z

2020-12-11T09:37:08.000Z

src/isle/meas/__init__.py

chelseajohn/isle

f610b55a1e8b6d2584896eb649092b0524cc1f8c

[ "MIT" ]

3

2021-01-18T19:18:29.000Z

2021-03-26T03:27:15.000Z

"""! General measurements that can be useful in various contexts. """ ## \defgroup meas Measurements # Perform measurements on configurations. from .chiralCondensate import ChiralCondensate # (unused import) pylint: disable=W0611 from .collectWeights import CollectWeights # (unused import) pylint: disable=W0611 from .determinantCorrelators import DeterminantCorrelators # (unused import) pylint: disable=W0611 from .logdet import Logdet # (unused import) pylint: disable=W0611 from .measurement import Measurement # (unused import) pylint: disable=W0611 from .onePointFunctions import OnePointFunctions # (unused import) pylint: disable=W0611 from .polyakov import Polyakov # (unused import) pylint: disable=W0611 from .propagator import AllToAll # (unused import) pylint: disable=W0611 from .singleParticleCorrelator import SingleParticleCorrelator # (unused import) pylint: disable=W0611 from .spinSpinCorrelator import SpinSpinCorrelator # (unused import) pylint: disable=W0611 from .totalPhi import TotalPhi # (unused import) pylint: disable=W0611

56.157895

103

0.802249

115

1,067

7.443478

0.278261

0.154206

0.231308

0.321262

0.432243

0.397196

0

0.047059

0.123711

1,067

18

104

59.277778

0.868449

0.514527

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

9448d1b467d2b4d42ee501b7c462a28e9cad0f37

65

py

Python

chai/python2.py

paolostivanin/chai

066fba05fcab35bf08fc87b388482ebc0ab0ccb9

[ "BSD-3-Clause" ]

14

2015-02-12T03:22:35.000Z

2020-06-03T15:13:43.000Z

chai/python2.py

paolostivanin/chai

066fba05fcab35bf08fc87b388482ebc0ab0ccb9

[ "BSD-3-Clause" ]

10

2015-01-16T21:32:00.000Z

2021-12-31T09:39:59.000Z

chai/python2.py

paolostivanin/chai

066fba05fcab35bf08fc87b388482ebc0ab0ccb9

[ "BSD-3-Clause" ]

8

2015-01-20T11:48:52.000Z

2020-04-30T11:25:24.000Z

def reraise(exc, msg, traceback): raise exc, msg, traceback

16.25

33

0.692308

9

65

5

0.666667

0.266667

0.666667

0

0.2

65

3

34

21.666667

0.865385

0

null

0

null

0

1

0

null

1

0

1

0

null

0

1

0

5

84676fb45437f287e05424494281ae5651f5e863

46

py

Python

src/discovery/disc_exceptions.py

biswajit-mandal/contrail-controller

80c4a7e8515f7296b18ba4c21a439bd3daefcc4a

[ "Apache-2.0" ]

5

2015-01-08T17:34:41.000Z

2017-09-28T16:00:25.000Z

src/discovery/disc_exceptions.py

biswajit-mandal/contrail-controller

80c4a7e8515f7296b18ba4c21a439bd3daefcc4a

[ "Apache-2.0" ]

null

src/discovery/disc_exceptions.py

biswajit-mandal/contrail-controller

80c4a7e8515f7296b18ba4c21a439bd3daefcc4a

[ "Apache-2.0" ]

18

2017-01-12T09:28:44.000Z

2019-04-18T20:47:42.000Z

class ServiceUnavailable(Exception): pass

15.333333

36

0.782609

4

46

9

1

0

0.152174

46

2

37

23

0.923077

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

8492c43b43c798fce030a921360eb11b26a6667d

1,907

py

Python

tests/meta.py

bigmlcom/slumber

b5f7f4e9524a8ef170a403b523b23fc614ae7579

[ "BSD-2-Clause" ]

null

tests/meta.py

bigmlcom/slumber

b5f7f4e9524a8ef170a403b523b23fc614ae7579

[ "BSD-2-Clause" ]

null

tests/meta.py

bigmlcom/slumber

b5f7f4e9524a8ef170a403b523b23fc614ae7579

[ "BSD-2-Clause" ]

null

import unittest import slumber class MetaTestCase(unittest.TestCase): def test_init_kwargs_to_attributes(self): m = slumber.Meta(item1="test", item2=41, item3="example") self.assertEqual(m.item1, "test") self.assertEqual(m.item2, 41) self.assertEqual(m.item3, "example") class MetaMixinTestCase(unittest.TestCase): def test_init_kwargs_to_meta(self): class MetaMixinTest(slumber.MetaMixin, object): class Meta: item1 = None item2 = None item3 = None mmt = MetaMixinTest(item1="test", item2=41, item3="example") self.assertTrue(hasattr(mmt, "_meta")) self.assertTrue(isinstance(mmt._meta, slumber.Meta)) self.assertEqual(mmt._meta.item1, "test") self.assertEqual(mmt._meta.item2, 41) self.assertEqual(mmt._meta.item3, "example") def test_meta_to_meta_defaults(self): class MetaMixinTest(slumber.MetaMixin, object): class Meta: item1 = None item2 = None item3 = None mmt = MetaMixinTest() self.assertTrue(hasattr(mmt, "_meta")) self.assertTrue(isinstance(mmt._meta, slumber.Meta)) self.assertEqual(mmt._meta.item1, None) self.assertEqual(mmt._meta.item2, None) self.assertEqual(mmt._meta.item3, None) def test_meta_to_meta_defaults_with_init_kwargs(self): class MetaMixinTest(slumber.MetaMixin, object): class Meta: item1 = None item2 = None item3 = None mmt = MetaMixinTest(item2=41) self.assertTrue(hasattr(mmt, "_meta")) self.assertTrue(isinstance(mmt._meta, slumber.Meta)) self.assertEqual(mmt._meta.item1, None) self.assertEqual(mmt._meta.item2, 41) self.assertEqual(mmt._meta.item3, None)

29.796875

68

0.618249

210

1,907

5.452381

0.152381

0.091703

0.141485

0.172926

0.825328

0.821834

0.747598

0.634061

0

0.028923

0.274777

1,907

63

69

30.269841

0.798988

0

0.6

0

0.030939

0

0.4

1

0.088889

false

0

0.044444

0

0.311111

0

null

0

1

0

1

0

null

0

5

849b95f399a56e4599f27c23529b8c0adb8aea2d

24

py

Python

labml/__init__.py

adrien1018/labml

90068255149eca8cc26867e7b0a54012c2078a20

[ "MIT" ]

null

labml/__init__.py

adrien1018/labml

90068255149eca8cc26867e7b0a54012c2078a20

[ "MIT" ]

null

labml/__init__.py

adrien1018/labml

90068255149eca8cc26867e7b0a54012c2078a20

[ "MIT" ]

null

__version__ = '0.4.119'

12

23

0.666667

4

24

3

1

0

0.238095

0.125

24

1

24

0.333333

0

0.291667

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

84a753c06c16763a5106698a1f7760a010758b3a

70

py

Python

flags/forms.py

9dev/django-flags

b4553ebd3f7750594da5abac4d73b6bc15c6bc30

[ "MIT" ]

null

flags/forms.py

9dev/django-flags

b4553ebd3f7750594da5abac4d73b6bc15c6bc30

[ "MIT" ]

null

flags/forms.py

9dev/django-flags

b4553ebd3f7750594da5abac4d73b6bc15c6bc30

[ "MIT" ]

null

from django import forms class FlagCreateForm(forms.Form): pass

11.666667

33

0.757143

9

70

5.888889

0.888889

0

0.185714

70

5

34

14

0.929825

0

1

0

true

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

5

84ac9a48e349c6139ec3eee865e01a2385c24d35

230

py

Python

recursive2.py

Jiar/python3-test

028b5382b6604458c741b507831832327afba422

[ "MIT" ]

null

recursive2.py

Jiar/python3-test

028b5382b6604458c741b507831832327afba422

[ "MIT" ]

null

recursive2.py

Jiar/python3-test

028b5382b6604458c741b507831832327afba422

[ "MIT" ]

null

#!git python3 # -*- coding: utf-8 -*- def fact(n): return fact_iter(n, 1) def fact_iter(num, product): if num == 1: return product return fact_iter(num - 1, num * product) # 栈溢出 python没有针对尾递归进行优化 print(fact_iter(1000, 1))

17.692308

41

0.669565

37

230

4.054054

0.486486

0.213333

0.186667

0

0.05291

0.178261

230

13

42

17.692308

0.740741

0.247826

0

1

0.285714

false

0

0.142857

0.714286

0.142857

0

null

1

0

null

0

1

0

1

0

5

84bf0a94350320b8d334766199902edb1f906925

172

py

Python

tests/fixtures/cover.py

kuc2477/news

215f87e6ce1a7fc99175596e6fd5b4b50a3179c6

[ "MIT" ]

2

2016-01-21T04:16:57.000Z

2016-04-27T04:46:13.000Z

tests/fixtures/cover.py

kuc2477/news

215f87e6ce1a7fc99175596e6fd5b4b50a3179c6

[ "MIT" ]

null

tests/fixtures/cover.py

kuc2477/news

215f87e6ce1a7fc99175596e6fd5b4b50a3179c6

[ "MIT" ]

null

import pytest from news.cover import Cover @pytest.fixture def cover(django_backend, django_schedule): return Cover(schedule=django_schedule, backend=django_backend)

21.5

66

0.819767

23

172

5.956522

0.478261

0.189781

0

0.110465

172

7

67

24.571429

0.895425

0

1

0.2

false

0

0.4

0.2

0.8

0

1

0

null

0

1

0

null

0

1

0

5

04793ac64c8d8b9f02fd198ea762c43e8c9d4f8c

73

py

Python

viadot/utils.py

Lauralicja/viadot

480df8ce8c7f9b9eab7d5f9646227316fc9eff49

[ "MIT" ]

null

viadot/utils.py

Lauralicja/viadot

480df8ce8c7f9b9eab7d5f9646227316fc9eff49

[ "MIT" ]

null

viadot/utils.py

Lauralicja/viadot

480df8ce8c7f9b9eab7d5f9646227316fc9eff49

[ "MIT" ]

null

def slugify(name: str) -> str: return name.replace(" ", "_").lower()

24.333333

41

0.589041

9

73

4.666667

0.777778

0

0.178082

73

2

42

36.5

0.7

0

0.027397

0

1

0.5

false

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

04ab4e8b5d2838e3ff02308c6235898e7e884649

125

py

Python

deploy/find_cluster.py

sun4343lee/pay

73580c84639248895fe53f95d719259b438252d4

[ "MIT" ]

null

deploy/find_cluster.py

sun4343lee/pay

73580c84639248895fe53f95d719259b438252d4

[ "MIT" ]

null

deploy/find_cluster.py

sun4343lee/pay

73580c84639248895fe53f95d719259b438252d4

[ "MIT" ]

null

#!/bin/env python import sys print str([x.split(".")[1] for x in sys.argv[1].split("_") if x.split(".")[0] == "cluster"][0])

31.25

95

0.584

23

125

3.130435

0.695652

0.166667

0

0.036036

0.112

125

3

96

41.666667

0.612613

0.128

0

0.092593

0

null

0

0.5

null

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

8e111dfc57effccb165da6b6ef2b096aaa1f4e0f

179

py

Python

examples/custom_model/model.py

felixnext/tf-argonaut

b853df665eba67a6d4989af9df23c05c9a9ce5b3

[ "Apache-2.0" ]

null

examples/custom_model/model.py

felixnext/tf-argonaut

b853df665eba67a6d4989af9df23c05c9a9ce5b3

[ "Apache-2.0" ]

2

2020-04-05T15:18:11.000Z

2021-06-02T01:16:00.000Z

examples/custom_model/model.py

felixnext/tf-argonaut

b853df665eba67a6d4989af9df23c05c9a9ce5b3

[ "Apache-2.0" ]

null

'''Contains a customly defined model.''' import tensorflow as tf from tensorflow import keras class CustomNet(keras.Model): def __init__(self, layers): pass

19.888889

41

0.687151

22

179

5.409091

0.818182

0

0.22905

179

8

42

22.375

0.862319

0.189944

0

1

0.2

false

0.2

0.4

0

0.8

0

1

0

null

0

1

0

null

0

1

0

1

0

5

8e286a23e107d8cf0bb8b3b51dce87eb19c89ffc

158

py

Python

surgeo/utility/surgeo_exception.py

TheCleric/surgeo

018ff69a817ea115d6d42dc0d7d5b7b09db331e4

[ "MIT" ]

20

2018-05-09T13:31:06.000Z

2022-03-23T20:50:35.000Z

surgeo/utility/surgeo_exception.py

TheCleric/surgeo

018ff69a817ea115d6d42dc0d7d5b7b09db331e4

[ "MIT" ]

17

2019-12-13T01:45:48.000Z

2021-07-21T16:34:53.000Z

surgeo/utility/surgeo_exception.py

AlgorexHealth/surgeo

3ef2ab06ffbe875dc1bb1503802a256cee923b33

[ "MIT" ]

10

2018-05-09T21:31:30.000Z

2021-07-26T21:28:48.000Z

"""Module containing an exception class for Surgeo""" class SurgeoException(Exception): """This is an application specific Exception class.""" pass

22.571429

58

0.727848

18

158

6.388889

0.722222

0.243478

0

0.170886

158

6

59

26.333333

0.877863

0.607595

0

1

0

true

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

5

8e2b5edea611a06bed749840ea1013358c95cf34

80

py

Python

0x00-python-hello_world/2-print.py

oluwaseun-ebenezer/holbertonschool-higher_level_programming

e830f969d3ca71abf0a2f6d4f7c64a82337eccd7

[ "MIT" ]

1

2022-02-07T12:13:18.000Z

0x00-python-hello_world/2-print.py

oluwaseun-ebenezer/holbertonschool-higher_level_programming

e830f969d3ca71abf0a2f6d4f7c64a82337eccd7

[ "MIT" ]

null

0x00-python-hello_world/2-print.py

oluwaseun-ebenezer/holbertonschool-higher_level_programming

e830f969d3ca71abf0a2f6d4f7c64a82337eccd7

[ "MIT" ]

4

2018-05-01T05:04:15.000Z

2020-04-28T22:22:54.000Z

#!/usr/bin/python3 print('"Programming is like building a multilingual puzzle')

26.666667

60

0.775

11

80

5.636364

1

0

0.013889

0.1

80

2

61

40

0.847222

0.2125

0

0.822581

0

1

0

true

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

8e44d29d8aedcb2f53ffa579d6db1f9a112c5010

90

py

Python

lambdaconda/lambdaconda.py

RileyMathews/lambdaconda

4cd9563e706b194d839a9b6ad3b4bef88f4b4bc3

[ "MIT" ]

null

lambdaconda/lambdaconda.py

RileyMathews/lambdaconda

4cd9563e706b194d839a9b6ad3b4bef88f4b4bc3

[ "MIT" ]

null

lambdaconda/lambdaconda.py

RileyMathews/lambdaconda

4cd9563e706b194d839a9b6ad3b4bef88f4b4bc3

[ "MIT" ]

null

def handle_invocation(event, context): return { "message": "hello from lambdaconda" }

30

50

0.722222

10

90

6.4

1

0

0.155556

90

2

51

45

0.842105

0

0.322222

0

1

0.5

false

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

f3d3864544f4503311c4d94d296c8fa9f9e20fdf

56

py

Python

modernlab/__init__.py

AlexZades/modernlab

dc771fed240864ed3a62bbb1170b353a8531da09

[ "MIT" ]

1

2020-11-14T21:25:00.000Z

modernlab/__init__.py

AlexZades/modernlab

dc771fed240864ed3a62bbb1170b353a8531da09

[ "MIT" ]

null

modernlab/__init__.py

AlexZades/modernlab

dc771fed240864ed3a62bbb1170b353a8531da09

[ "MIT" ]

null

from quick_plot import * from variational_error import *

28

31

0.839286

8

56

5.625

0.75

0

0.125

56

2

31

28

0.918367

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

f3ebe1444a1b32af35079144bf6f1de8ee3a2733

89

py

Python

scripts/utils/json_utils.py

RobinHackintosh/OpenCore

74ec0435e232e1495a04ce8f5027edf7072bba2d

[ "BSD-3-Clause" ]

null

scripts/utils/json_utils.py

RobinHackintosh/OpenCore

74ec0435e232e1495a04ce8f5027edf7072bba2d

[ "BSD-3-Clause" ]

null

scripts/utils/json_utils.py

RobinHackintosh/OpenCore

74ec0435e232e1495a04ce8f5027edf7072bba2d

[ "BSD-3-Clause" ]

null

import json def pretty_json(origin_data): print(json.dumps(origin_data, indent=2))

14.833333

44

0.752809

14

89

4.571429

0.714286

0.3125

0

0.012987

0.134831

89

5

45

17.8

0.818182

0

1

0.333333

false

0

0.333333

0

0.666667

0.333333

1

0

null

1

0

1

0

null

0

1

0

1

0

5

6d1220af75db03c0163af89458e1905a69659c84

354

py

Python

PYTHONG/superTools/superToolsMenu.py

roadkillsanta/JAPY

1a5383d7fc3a1c08c689f609cdcbb7d58fb84956

[ "Apache-2.0" ]

1

2016-10-03T23:00:44.000Z

PYTHONG/superTools/superToolsMenu.py

roadkillsanta/JAPY

1a5383d7fc3a1c08c689f609cdcbb7d58fb84956

[ "Apache-2.0" ]

null

PYTHONG/superTools/superToolsMenu.py

roadkillsanta/JAPY

1a5383d7fc3a1c08c689f609cdcbb7d58fb84956

[ "Apache-2.0" ]

null

g=open(accountList, r) pickle.load(adminUsers) print("Welcome to AdminTools!") print("Please enter your official AdminTools account credentials:") print("NOTE: You may enter your PythonG Live account credentials if you have access.") print("Please enter your admin username:") adminu = input() print("Please enter your admin password:") adminp = input()

35.4

86

0.771186

49

354

5.571429

0.632653

0.131868

0.175824

0.21978

0.18315

0

0.118644

354

9

87

39.333333

0.875

0

0.629944

0

1

0

false

0.111111

0

0.555556

0

null

0

1

0

1

0

1

0

null

0

1

0

1

0

5

6d1545a215455fae49f087be176d897122f725cd

173

py

Python

modules/intensity/__init__.py

RealAllenDa/EEWMap

4031c951fac97a099fb715c38a1dd77c52390a15

[ "Apache-2.0" ]

null

modules/intensity/__init__.py

RealAllenDa/EEWMap

4031c951fac97a099fb715c38a1dd77c52390a15

[ "Apache-2.0" ]

7

2021-11-20T06:52:50.000Z

2022-01-13T10:01:21.000Z

modules/intensity/__init__.py

RealAllenDa/EEWMap

4031c951fac97a099fb715c38a1dd77c52390a15

[ "Apache-2.0" ]

null

""" EEWMap - Modules - Intensity Used to get intensities from a gif (usually fetched with the EEW). """ from .intensity2color import init_intensity2color, intensity2color

28.833333

67

0.774566

21

173

6.333333

0.857143

0

0.020408

0.150289

173

5

68

34.6

0.884354

0.549133

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

6d1c77633c753559981f53beb2054a637a5a75e2

202

py

Python

4.DataStructure/5.py

olzlgur/Python_study

8dd346d07f64839cc8832e7bd4b7a57adf342312

[ "MIT" ]

null

4.DataStructure/5.py

olzlgur/Python_study

8dd346d07f64839cc8832e7bd4b7a57adf342312

[ "MIT" ]

null

4.DataStructure/5.py

olzlgur/Python_study

8dd346d07f64839cc8832e7bd4b7a57adf342312

[ "MIT" ]

null

#자료구조의 변경 number={1,2,3,4} print(number, type(number)) number=list(number) print(number, type(number)) number=tuple(number) print(number, type(number)) number=set(number) print(number, type(number))

15.538462

27

0.737624

32

202

4.65625

0.375

0.295302

0.402685

0.563758

0.805369

0.442953

0

0.021622

0.084158

202

13

28

15.538462

0.783784

0.039604

0

0.5

0

1

0

false

0

0.5

0

null

1

0

null

0

1

0

5

6d2f37a889419df934812b529e3a4de1b3fa0812

83

py

Python

Darlington/phase1/python Basic 1/day 6 solution/qtn4.py

CodedLadiesInnovateTech/-python-challenge-solutions

430cd3eb84a2905a286819eef384ee484d8eb9e7

[ "MIT" ]

6

2020-05-23T19:53:25.000Z

2021-05-08T20:21:30.000Z

Darlington/phase1/python Basic 1/day 6 solution/qtn4.py

CodedLadiesInnovateTech/-python-challenge-solutions

430cd3eb84a2905a286819eef384ee484d8eb9e7

[ "MIT" ]

8

2020-05-14T18:53:12.000Z

2020-07-03T00:06:20.000Z

Darlington/phase1/python Basic 1/day 6 solution/qtn4.py

CodedLadiesInnovateTech/-python-challenge-solutions

430cd3eb84a2905a286819eef384ee484d8eb9e7

[ "MIT" ]

39

2020-05-10T20:55:02.000Z

2020-09-12T17:40:59.000Z

#program to locate Python site-packages import site; print(site.getsitepackages())

27.666667

39

0.807229

11

83

6.090909

0.818182

0

0.096386

83

3

40

27.666667

0.893333

0.457831

0

1

0

true

0

0.5

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

edaf0ff0369a004dee78a3a491900d43e3b4bf20

97

py

Python

wivaprec/testsystems/__init__.py

maxentile/wivaprec

fb7958c72cbe5faa1e499fcef7eb3b59a9d3590a

[ "MIT" ]

null

wivaprec/testsystems/__init__.py

maxentile/wivaprec

fb7958c72cbe5faa1e499fcef7eb3b59a9d3590a

[ "MIT" ]

null

wivaprec/testsystems/__init__.py

maxentile/wivaprec

fb7958c72cbe5faa1e499fcef7eb3b59a9d3590a

[ "MIT" ]

null

from mixture import perturbed_bimodal_distribution __all__ = ["perturbed_bimodal_distribution"]

24.25

50

0.865979

10

97

7.6

0.7

0.421053

0.736842

0

0.082474

97

3

51

32.333333

0.853933

0

0.309278

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

5

edb8f13e852f93f26514459b019aacb4dd7d1817

56

py

Python

helloworld.py

jtaejune1159/HYCUBE_Git_Study-1

6e34fca651163a41e94815cdf6a6bb8a30931693

[ "MIT" ]

1

2020-08-29T04:58:25.000Z

helloworld.py

jtaejune1159/HYCUBE_Git_Study-1

6e34fca651163a41e94815cdf6a6bb8a30931693

[ "MIT" ]

11

2020-08-29T05:34:36.000Z

2020-08-31T06:38:34.000Z

helloworld.py

jtaejune1159/HYCUBE_Git_Study-1

6e34fca651163a41e94815cdf6a6bb8a30931693

[ "MIT" ]

10

2020-08-30T05:29:46.000Z

2020-10-20T04:18:30.000Z

print("Hello, world!") print("hello") print("HYU ERICA")

18.666667

22

0.678571

8

56

4.75

0.625

0.526316

0

0.071429

56

3

23

18.666667

0.730769

0

0.473684

0

1

0

true

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

ede946b76f9e84e15ca8313c56d8f8f29e8ca991

75

py

Python

hibot.py

NgLamVN/HiBot

022e9419d1a92546ffdccc928318a3b8836444f0

[ "MIT" ]

null

hibot.py

NgLamVN/HiBot

022e9419d1a92546ffdccc928318a3b8836444f0

[ "MIT" ]

null

hibot.py

NgLamVN/HiBot

022e9419d1a92546ffdccc928318a3b8836444f0

[ "MIT" ]

null

# Statup File from bot.bot_manager import bot_manager bot_manager()

12.5

40

0.746667

11

75

4.818182

0.545455

0.566038

0

0.2

75

5

41

15

0.883333

0.146667

0

1

0

true

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

61175dc7368265163b36c4105e4505ef05c64b3f

30

py

Python

pcdet/version.py

rayguan97/M3DETR

cb76890a28c1555f2c0138030e0a432df6ee731b

[ "Apache-2.0" ]

21

2022-01-21T11:02:15.000Z

2022-03-08T14:55:30.000Z

pcdet/version.py

rayguan97/M3DETR

cb76890a28c1555f2c0138030e0a432df6ee731b

[ "Apache-2.0" ]

2

2022-01-21T08:10:49.000Z

2022-01-21T23:44:40.000Z

pcdet/version.py

rayguan97/M3DETR

cb76890a28c1555f2c0138030e0a432df6ee731b

[ "Apache-2.0" ]

3

2022-01-21T11:41:55.000Z

2022-01-24T14:20:19.000Z

__version__ = "0.5.2+738cfad"

15

29

0.7

5

30

3.4

1

0

0.222222

0.1

30

1

30

0.407407

0

0.433333

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

b655a8e8d07c399639c9ebf5734f015f1a715be5

40

py

Python

test_serial.py

dawsonjon/chips_v

ed2cb9f7da76c4d4a05812575d062cdb0511656b

[ "MIT" ]

6

2020-09-16T07:38:52.000Z

2021-05-13T20:26:25.000Z

test_serial.py

dawsonjon/chips_v

ed2cb9f7da76c4d4a05812575d062cdb0511656b

[ "MIT" ]

null

test_serial.py

dawsonjon/chips_v

ed2cb9f7da76c4d4a05812575d062cdb0511656b

[ "MIT" ]

2

2020-10-12T14:52:07.000Z

2021-03-29T16:49:46.000Z

from chips_v.serial import test test()

10

31

0.775

7

40

4.285714

0.857143

0

0.15

40

3

32

13.333333

0.882353

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

b677f1183b85cb7b633f7e11e7fac48192635085

404

py

Python

src/renault_api/cli/charge/commands.py

slater0013/renault-api

13c784b6af09331368341c93888f1eb32c46cb19

[ "MIT" ]

null

src/renault_api/cli/charge/commands.py

slater0013/renault-api

13c784b6af09331368341c93888f1eb32c46cb19

[ "MIT" ]

null

src/renault_api/cli/charge/commands.py

slater0013/renault-api

13c784b6af09331368341c93888f1eb32c46cb19

[ "MIT" ]

null

"""Command-line interface.""" import click from . import control from . import history from . import schedule @click.group() def charge() -> None: """Charge functionality.""" pass charge.add_command(control.start) charge.add_command(control.stop) charge.add_command(control.mode) charge.add_command(history.history) charge.add_command(history.sessions) charge.add_command(schedule.schedule)

19.238095

37

0.767327

52

404

5.846154

0.384615

0.177632

0.315789

0.226974

0

0.106436

404

20

38

20.2

0.842105

0.111386

0

1

0.076923

true

0.076923

0.307692

0

0.384615

0

null

0

1

0

null

0

1

0

5

1e20508264e6735aba14f9b7e79333ec97dca097

109

py

Python

src/githubinfo/api/__init__.py

Cutewarriorlover/github-info

d926f44433139ee2a06a5eea0c8bb85b9df2acb2

[ "MIT" ]

null

src/githubinfo/api/__init__.py

Cutewarriorlover/github-info

d926f44433139ee2a06a5eea0c8bb85b9df2acb2

[ "MIT" ]

null

src/githubinfo/api/__init__.py

Cutewarriorlover/github-info

d926f44433139ee2a06a5eea0c8bb85b9df2acb2

[ "MIT" ]

null

""" This module is a wrapper around GitHub's API. """ from src.githubinfo.api.github_user import GitHubUser

18.166667

53

0.761468

17

109

4.823529

0.882353

0

0.137615

109

5

54

21.8

0.87234

0.412844

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

1e3af9c11b1e4581d2f2a6d969d603e95faeea3f

38

py

Python

neutron-beam/nbeam/__init__.py

pcallday/Super-Neutron-Drive

d3cbeeae113722099032fb651dd4148670cb86e9

[ "MIT" ]

24

2015-01-21T21:45:48.000Z

2021-02-11T21:10:43.000Z

neutron-beam/nbeam/__init__.py

pcallday/Super-Neutron-Drive

d3cbeeae113722099032fb651dd4148670cb86e9

[ "MIT" ]

14

2015-01-04T00:45:05.000Z

2017-11-21T14:33:09.000Z

neutron-beam/nbeam/__init__.py

ColleenKeegan/Super-Neutron-Drive

d3cbeeae113722099032fb651dd4148670cb86e9

[ "MIT" ]

15

2015-03-05T21:56:04.000Z

2019-09-26T15:48:25.000Z

from nbeam.version import __version__

19

37

0.868421

5

38

5.8

0.8

0

0.105263

38

1

38

0.852941

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

1e40f21793082ca5f03b96afd667f9e59fd4b794

54,943

py

Python

python_extra/selection_weird.py

all-hack/push_swap

745d28dd0b3c6f4b339e57ab2b460904a4c270a0

[ "MIT" ]

1

2019-07-01T07:22:24.000Z

python_extra/selection_weird.py

all-hack/push_swap

745d28dd0b3c6f4b339e57ab2b460904a4c270a0

[ "MIT" ]

null

python_extra/selection_weird.py

all-hack/push_swap

745d28dd0b3c6f4b339e57ab2b460904a4c270a0

[ "MIT" ]

null

import random from fractions import Fraction as ff import sys import pprint prp = pprint.PrettyPrinter(indent=4, width=200) op =0 def rt(stack): global op stack.append(stack.pop(0)) op += 1 def rrt(stack): global op stack.insert(0, stack.pop()) op += 1 def trr(stack0, stack1): global op stack0.append(stack0.pop(0)) stack1.append(stack1.pop(0)) op += 1 def trrr(stack0, stack1): global op stack0.insert(0, stack0.pop()) stack1.insert(0, stack1.pop()) op += 1 def st(stack): global op stack.insert(1, stack.pop(0)) op += 1 def pt(stack0, stack1): global op stack0.insert(0, stack1.pop(0)) op += 1 def frt(stack): stack.append(stack.pop(0)) def frrt(stack): stack.insert(0, stack.pop()) def fpt(stack0, stack1): stack0.insert(0, stack1.pop(0)) def ra(): global op a.append(a.pop(0)) op += 1 def rb(): global op b.append(b.pop(0)) op += 1 def rra(): global op a.insert(0, a.pop()) op += 1 def rrb(): global op b.insert(0, b.pop()) op += 1 def rr(): global op a.append(a.pop(0)) b.append(b.pop(0)) op += 1 def rrr(): global op a.insert(0, a.pop()) b.insert(0, b.pop()) op += 1 def sa(): global op a.insert(1, a.pop(0)) op += 1 def sb(): global op b.insert(1, b.pop(0)) op += 1 def ss(): global op a.insert(1, a.pop(0)) b.insert(1, b.pop(0)) op += 1 def pa(): global op a.insert(0, b.pop(0)) op += 1 def pb(): global op b.insert(0, a.pop(0)) op += 1 ## 12 list_sorts 10 # mA 67; sA: 73, sB: 59, sC: 49 # a = [91, 29, 53, 28, 14, 13, 2, 35, 83, 99, 72, 65] # sA: , sB: 80, sC: 50 # a = [15, 10, 1, 87, 86, 43, 59, 47, 22, 9, 39, 78] # 13 # a = [91, 29, 53, 28, 14, 13, 2, 35, 83, 72, 99, 65, 27] #16 # 104 op 6n + 1/2n # mA 104; sA: 171; sB: 136; sC: 67; sE: 60; sF: 60; # a = [6, 11, 7, 15, 16, 14, 13, 1, 9, 8, 3, 5, 4, 10, 12, 2] # mA 109; sA: 152; sB: 108; sC: 66; sE: 52; sF: 52; # a = [8, 6, 11, 14, 5, 7, 10, 13, 3, 4, 15, 1, 0, 2, 9, 12] # sE: 52; sF: 52; # a = [81, 50, 94, 35, 66, 69, 31, 97, 38, 33, 87, 72, 64, 46, 34, 71] # 19 # a = [111, 9, 960, 181, 815, 658, 715, 461, 441, 931, 865, 130, 743, 907, 443, 828, 116, 446, 803] # 20 # sB: 230; sC: 104; sE: 75; # a = [229, 501, 356, 62, 494, 86, 410, 300, 567, 119, 615, 671, 976, 817, 605, 979, 985, 813, 794, 908] # sB: 40; sC: 42; sE: 40; # a = [14, 46, 218, 228, 276, 328, 345, 382, 393, 434, 472, 485, 587, 661, 694, 766, 885, 889, 914, 944] # sB: 208; sC: 106; sE: 75; # a = [451, 226, 534, 869, 84, 341, 778, 503, 415, 186, 537, 287, 677, 548, 803, 558, 335, 991, 193, 203] # sB: 222; sC: 96; sE: 78; # a = [18, 720, 606, 356, 96, 907, 996, 625, 56, 517, 926, 74, 679, 430, 617, 184, 899, 839, 891, 674]# sB: 222; # sB: 224; sC: 102; sE: 75; # a = [229, 9849, 6354, 3914, 2246, 6945, 5547, 6855, 5802, 3073, 7292, 2580, 9503, 1404, 1579, 3710, 3745, 7446, 1653, 7900] # sB: 228; sC: 100; sE: 78; # a = [3452, 9778, 1023, 9659, 569, 2513, 4212, 2240, 915, 7224, 926, 8872, 8055, 1608, 5352, 2530, 1794, 6806, 3279, 8763] # mA 152; sA: 302, sB: 230; sC: 87; sE: 77; # a = [437, 8567, 9443, 9184, 1355, 8702, 9913, 2725, 4004, 365, 4172, 3671, 5000, 7398, 8362, 1942, 1912, 3822, 8376, 2532] # mA 166; sA: 268, sB: 206; sC: 92; sE: 81; # a = [5, 2, 13, 15, 3, 7, 18, 6, 19, 4, 10, 14, 0, 20, 16, 8, 9, 1, 11, 12] # 40 # a = [771, 735, 572, 146, 206, 487, 997, 627, 241, 210, 826, 831, 946, 491, 922, 310, 212, 990, 232, 762, 292, 166, 567, 361, 359, 848, 628, 504, 185, 335, 563, 670, 688, 861, 265, 678, 235, 693, 211, 184] # break # a = [52, 504, 320, 430, 689, 438, 333, 620, 987, 632, 563, 270, 666, 0, 650, 274, 760, 963, 19, 217, 407, 397, 378, 739, 384, 834, 887, 170, 928, 379, 726, 710, 172, 119, 688, 755, 356, 686, 241, 369] # a = [421, 589, 1227, 5759, 1131, 2992, 7534, 6130, 2204, 6194, 3633, 7789, 7676, 1816, 1103, 8293, 2247, 8629, 3770, 1153, 9490, 280, 9009, 6159, 592, 8520, 1996, 9524, 2296, 4108, 6913, 8652, 5621, 6785, 9821, 3439, 2831, 5054, 3276, 2982] ## 100 list_sorts 102 # mA 1415; sA: 8419, sB: 5234; sC: 662; sD: 662; sE: 660; sE: 673; # a = [685, 947, 280, 597, 528, 127, 28, 37, 111, 288, 25, 398, 849, 356, 577, 362, 573, 238, 920, 931, 775, 777, 555, 308, 959, 866, 940, 142, 756, 333, 64, 100, 904, 908, 571, 512, 781, 774, 826, 18, 927, 704, 518, 523, 843, 600, 980, 538, 445, 163, 567, 421, 877, 106, 510, 590, 563, 601, 353, 806, 545, 673, 278, 816, 498, 693, 454, 252, 773, 957, 57, 249, 971, 144, 486, 948, 490, 945, 318, 731, 811, 77, 164, 507, 262, 792, 307, 917, 711, 823, 295, 875, 926, 489, 44, 611, 314, 659, 427, 384] # mA 1430; sA: 9124, sB: 5338; sC: 701; sD: 701; sE: 696; sE: 595; # a = [855, 579, 497, 642, 350, 668, 148, 676, 11, 307, 416, 145, 34, 870, 653, 908, 837, 991, 473, 552, 759, 90, 968, 21, 60, 465, 64, 175, 874, 12, 838, 705, 489, 921, 539, 184, 464, 183, 330, 171, 766, 74, 271, 418, 43, 248, 268, 681, 213, 810, 872, 355, 432, 701, 17, 383, 836, 819, 386, 813, 289, 806, 671, 724, 385, 493, 182, 112, 255, 265, 200, 612, 427, 103, 441, 887, 282, 53, 250, 591, 292, 957, 462, 412, 522, 805, 210, 390, 707, 764, 648, 958, 608, 199, 414, 401, 994, 454, 177, 929] # mA 1388; sA: 8691, sB: 5237; sC: 898; sD: 806; sE: 806; sE: 615; # a = [29, 63, 28, 89, 24, 4, 99, 40, 30, 77, 16, 91, 19, 34, 94, 68, 48, 90, 20, 54, 73, 10, 35, 80, 41, 26, 60, 11, 18, 2, 45, 42, 74, 53, 50, 23, 39, 12, 43, 3, 38, 22, 47, 58, 72, 25, 81, 57, 88, 17, 37, 27, 64, 86, 75, 78, 76, 8, 14, 33, 31, 84, 7, 52, 93, 95, 1, 85, 36, 5, 71, 69, 98, 6, 87, 62, 65, 13, 32, 82, 59, 55, 67, 56, 21, 66, 46, 15, 79, 51, 92, 97, 70, 96, 49, 9, 83, 44, 61, 0] # sC: 808; sD: 750; sE: 750; sE: 654; # a = [-5085, 711, 8503, -6336, 8546, -2475, 7374, -7291, -5429, 9875, 933, 6212, -8331, 4972, -8529, -4079, 9028, 4753, 3138, 8508, -9960, 694, -6494, 8231, 668, 9732, 3472, -865, -1744, -3205, 7798, -75, 6210, -691, 8507, 9375, 8509, -2234, 8850, -797, 8087, 5018, -5163, -3599, 2779, 9188, 9692, -4407, 1606, 9874, 29, 3133, -2527, 1046, 4579, -6768, 9943, 2285, -9966, 2695, -9831, 4634, 4974, -7610, -5821, -4577, -3614, -7484, -768, 4380, 5743, -7232, 5379, -4402, -9163, 5182, 4373, -2293, 4416, -4396, -8460, -5151, 8976, 3083, -8931, -1966, -870, -9700, -6261, 5655, -2055, -5680, 5242, -5176, -5624, -7813, -5188, 558, 6128, -5855] # sC: 728; sD: 728; sE: 728; sE: 603; # a = [987, 4639, -8566, 8133, -9993, -8271, -7190, -795, 9330, 8102, -6819, -1250, -9159, -7828, 3732, 7656, 4222, 3206, -5514, 4914, 3386, -5683, -7983, -3634, -1274, 1312, 3800, -5013, 1618, -3086, 1493, 4631, -401, -5460, -5578, -4874, 1392, -2858, 3336, -2152, -9067, 8382, -1555, -9117, 258, -5485, 8548, -490, 8105, -424, 5701, -9919, 1373, -7164, -8954, -7958, 549, -4996, 916, -781, 2586, -5709, -1871, -665, 3735, 3859, -6778, 6385, 2594, -6029, -6629, 2524, 8999, 9323, 5515, 9643, -9651, -1470, -8131, 9608, -5605, -5719, 8247, -8523, 4822, -3294, 4001, -3330, -7013, 8593, 1136, 5316, 7997, -6658, -3126, -7024, -2320, -4210, 4610, 1914] # sC: 817; sD: 727; sE: 727; sE: 589; # a = [5642, -6222, -2059, 7251, -1445, -7468, 245, -1845, 9009, -2088, -5984, 1122, -4046, 1275, 5129, 5474, 9902, -1517, 9181, 9601, 4699, -8424, -5653, 7257, -4458, -4365, 2316, -1342, 1849, 895, 5568, -6740, 37, 7774, 5166, 4198, -7508, 8031, 2039, 3856, -1521, 5527, -7088, -8383, 7392, -128, 5719, -4809, 5698, 9847, 7869, -7097, -3512, -5583, -8805, 6836, 631, 7503, 3171, 5661, 3473, -7925, 8325, 5689, -7090, -1699, 7542, 7283, 1718, -2823, -9442, -4667, 1654, 2013, -1431, 8750, -5581, -4058, 3598, -2038, -6099, 2128, 9296, 7324, 8704, 6554, 3149, 3480, 2356, 6977, 2429, -5801, 3593, -3649, -7224, 385, 590, -5652, -3736, 8143] # sC: 703; sD: 703; sE: 703; sE: 601; # a = [6333, 7479, 6979, -2786, -3584, 2685, 3730, -5364, 8584, -1899, 9074, -8097, 5722, -4267, -8007, -5641, -8407, -9030, 7818, -6444, -6283, -4119, 2250, -4410, -6664, -6837, -3720, -3442, 4660, -8414, -2852, -9522, 7801, -7032, 2462, -6734, -8059, -7939, 4501, 6421, -8361, -4360, 4598, -934, -3815, -2438, -5127, 8224, -5887, 8362, 5795, -2763, -3216, -9182, -7994, 4029, -6210, 8626, -6966, -5795, -2827, 321, -7954, -7501, 1976, -979, 8246, -4210, -6567, -3071, 9917, 5866, -2842, -7258, -8401, -6501, -6502, -9563, -2946, -238, 5626, 4624, 9568, -2591, -1604, -196, 1017, -205, -9290, 1211, 424, 4280, 1811, -9900, 1474, -1651, -3300, -3972, 8219, 2844] # sC: 784; sD: 712; sE: 712; sE: 609; # a = [-8758, 1404, 1309, 9544, -4991, -4307, -2666, -5311, 2595, -6312, -8095, 9135, -7001, 8551, -7289, -1187, -6131, -2263, -3991, -3540, 7249, -398, -7002, -4363, 3284, -8272, 2527, 4237, 3791, 1597, -2868, -3598, 9772, -5132, -5436, 5287, 7757, -7480, 4158, 5320, -1973, -6509, 6758, -9982, -44, 2965, -6283, -9894, -5101, 9897, -5207, -5182, -5456, 9972, 577, 6191, 7961, -9712, -8648, -9373, -6201, 1506, -8210, 4219, -2078, -7892, 9307, -1862, 5052, -6362, -8309, 5503, 1721, 9283, 9983, 5611, -9873, 5024, 8542, -566, 4967, 6903, 2672, 5904, -420, -720, -4558, -4295, 6086, -7310, 9055, 5504, 35, 7673, -9875, -5425, 6778, 5440, -1725, -3940] a = [543, 175, 219, 365, 325, 145, 521, 619, 401, 56, 803, 245, 586, 425, 726, 289, 480, 372, 431, 982, 689, 255, 90, 370, 49, 502, 284, 692, 125, 620, 593, 162, 117, 551, 417, 173, 22, 35, 600, 207, 894, 308, 61, 398, 119, 186, 466, 5, 815, 782, 445, 874, 749, 236, 220, 195, 109, 176, 639, 350, 642, 872, 585, 719, 939, 270, 960, 323, 476, 317, 489, 451, 702, 974, 663, 131, 426, 826, 694, 787, 269, 122, 864, 419, 187, 596, 802, 92, 514, 807, 561, 604, 984, 884, 416, 673, 571, 636, 153, 177] # 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sE: 5,815; # a = [4685, 2932, 604, 6690, 2293, 9811, 9590, 8610, 4231, 7773, 8874, 8551, 1445, 7303, 9398, 2452, 6278, 2479, 3722, 6383, 9402, 9684, 2572, 8194, 5473, 9963, 6702, 1942, 9132, 7068, 9783, 6111, 7723, 7471, 6716, 2143, 8574, 302, 5189, 8793, 9459, 4983, 6169, 1792, 8001, 7111, 8931, 153, 487, 3594, 2832, 2183, 1676, 8621, 4136, 4494, 4186, 5492, 2253, 4319, 8928, 7224, 771, 5590, 2956, 5839, 7897, 2284, 9730, 5320, 3598, 2819, 3078, 5548, 5265, 8857, 9782, 2165, 245, 9792, 2082, 8810, 7356, 890, 1331, 2118, 2139, 1712, 3076, 7369, 6524, 4372, 5994, 6439, 3306, 7158, 1783, 5595, 192, 3578, 6008, 8340, 3760, 3643, 5713, 7799, 6332, 9907, 3567, 2045, 4116, 6679, 2636, 7439, 6451, 4528, 7360, 3969, 6891, 9372, 3664, 2454, 4246, 3986, 520, 956, 6437, 5672, 8084, 4543, 7239, 7908, 6185, 7614, 2424, 9008, 9278, 9013, 75, 827, 2914, 3938, 4663, 8202, 9618, 7863, 6656, 5906, 6052, 6043, 5880, 9181, 2226, 1834, 6384, 8763, 5000, 3278, 1423, 2486, 3526, 3198, 2326, 4866, 2198, 1732, 9415, 4169, 9236, 4636, 490, 4010, 3408, 5196, 7400, 698, 7967, 9926, 2517, 125, 9853, 8475, 9508, 225, 9448, 7101, 4367, 1364, 7452, 3462, 4758, 7836, 8097, 843, 4926, 2386, 57, 5698, 2449, 2581, 27, 8959, 1845, 7788, 8415, 8116, 9361, 6390, 1890, 1434, 3852, 3983, 9400, 5673, 5981, 8274, 833, 579, 4612, 9437, 1274, 3411, 2265, 6861, 3714, 3639, 1402, 4846, 1722, 1187, 6605, 628, 3199, 2596, 6462, 4068, 8355, 7792, 5035, 1973, 8379, 3736, 2497, 229, 3450, 4909, 2568, 4868, 1220, 4570, 2103, 8075, 6535, 2394, 9572, 305, 1134, 9982, 227, 9965, 7647, 4120, 6474, 6803, 1820, 5754, 2142, 5336, 7532, 1337, 2531, 9826, 2831, 8935, 3721, 4953, 9685, 7857, 6339, 6387, 1707, 6673, 7995, 7512, 1818, 9343, 4650, 712, 3457, 2925, 9304, 7206, 989, 2942, 4458, 2659, 1176, 4128, 3651, 1623, 2399, 5476, 4973, 1427, 7867, 6994, 6176, 6800, 2267, 9034, 4718, 8391, 7522, 4898, 1832, 4420, 1182, 5458, 4941, 6531, 1214, 6279, 8911, 7398, 8048, 4133, 2325, 855, 6597, 2791, 9326, 333, 9713, 350, 3444, 9084, 3358, 5524, 8754, 388, 52, 3477, 9716, 1968, 2536, 1438, 320, 5283, 5166, 7733, 191, 2578, 6285, 4490, 3692, 8112, 4196, 685, 2317, 6074, 700, 9536, 7737, 2867, 5420, 5962, 5809, 2690, 8892, 8532, 9512, 4193, 4259, 9108, 2642, 3081, 9957, 7743, 7463, 6117, 7595, 9210, 8819, 8009, 6269, 4609, 2177, 5314, 5451, 3600, 9576, 6961, 9182, 8461, 3357, 7141, 7676, 2879, 8731, 3812, 799, 9421, 9643, 5735, 5380, 6012, 1838, 1499, 4028, 8182, 3601, 8136, 6016, 3678, 5862, 5857, 3673, 5845, 8577, 271, 565, 6218, 246, 8795, 4401, 4462, 6623, 9196, 7146, 2820, 6992, 9758, 7952, 94, 5132, 8440, 5216, 8976, 3483, 73, 7405, 5635, 2387, 5608, 644, 1199, 4003, 2686, 522, 6388, 288, 2090, 2166, 9586, 2936, 3777, 3766, 6010, 4814, 9475, 4240, 1906, 8307, 7603, 3382, 9707, 881, 9836, 3284, 4257, 7690, 9986, 1379, 9153, 7651, 7094, 5907, 7091, 2391, 4157, 5118, 7348, 7436, 6726, 7567, 1356, 7508, 3732, 4840, 3434, 6276, 7923, 9634, 8173, 2853, 2466, 8067, 3123, 9610, 6308] # 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sE: 5,764; # a = [8969, 6582, 6331, 1690, 725, 2067, 956, 6387, 2448, 8210, 4033, 8823, 6216, 3976, 6304, 362, 2070, 8213, 9939, 3131, 8966, 5620, 3728, 9619, 8657, 2876, 2736, 3937, 5987, 5501, 9686, 8260, 4845, 3564, 2164, 8377, 6444, 6723, 3502, 5941, 8087, 9324, 7577, 6145, 7829, 9044, 2174, 6332, 7738, 7900, 2840, 2426, 2670, 284, 3141, 7841, 6771, 2468, 2680, 4764, 1963, 8004, 1231, 5125, 3918, 5909, 8890, 6831, 5306, 3371, 8112, 367, 3942, 8421, 1025, 4848, 2216, 7959, 5669, 41, 5160, 7540, 9917, 4236, 4199, 4511, 4056, 8319, 6024, 4965, 4013, 2608, 2382, 6761, 7815, 4392, 7167, 6987, 8414, 2520, 4035, 5076, 1489, 194, 5888, 7499, 763, 6290, 2428, 4343, 6454, 9816, 4128, 5548, 6329, 4925, 1888, 8407, 3774, 6327, 3219, 6586, 4577, 8217, 4179, 484, 1332, 436, 9250, 7626, 2338, 2590, 5794, 2105, 3314, 5524, 306, 7156, 8978, 4015, 4267, 9298, 841, 2144, 7563, 2904, 5401, 5295, 9887, 3762, 3060, 8905, 7910, 7726, 7697, 3263, 1638, 5490, 667, 3276, 6546, 5737, 8199, 9982, 1774, 1401, 8913, 4874, 9339, 1169, 7846, 7339, 7988, 2327, 1727, 127, 9696, 8135, 1874, 6254, 7325, 8271, 3707, 5782, 5593, 6865, 6697, 8369, 8643, 6281, 1361, 3856, 4282, 311, 9628, 3613, 5836, 9022, 4762, 6214, 1760, 3772, 2432, 8448, 1284, 4679, 5918, 323, 9679, 2559, 1737, 1908, 1535, 2279, 5535, 3073, 8296, 469, 2199, 3208, 7155, 5873, 9154, 5255, 4802, 7044, 4661, 5380, 8658, 379, 8832, 3135, 8754, 1531, 8036, 2268, 6505, 4293, 552, 5165, 3724, 2131, 7765, 1320, 1130, 76, 7062, 6092, 859, 9885, 4042, 2595, 6566, 9956, 4632, 2433, 8462, 7445, 4200, 9709, 9062, 8278, 7789, 5027, 5262, 4541, 6814, 6557, 7344, 1482, 4458, 4629, 9263, 6787, 5866, 7734, 8234, 4386, 9112, 5564, 1881, 9070, 4513, 842, 222, 6705, 3855, 5001, 3880, 1817, 7702, 6376, 9230, 7202, 97, 1712, 4834, 5368, 8007, 9106, 103, 7473, 5711, 4108, 3445, 715, 7441, 9207, 5115, 3409, 1616, 2596, 6573, 4835, 4666, 8548, 713, 5871, 9744, 2973, 7614, 4279, 3515, 282, 9067, 6206, 3974, 9525, 4111, 1372, 7343, 2287, 6313, 5693, 6253, 4091, 3007, 5458, 6844, 9014, 8311, 2922, 9049, 525, 9773, 7095, 8297, 6518, 661, 9373, 3585, 7521, 5256, 5875, 6792, 2479, 1285, 8120, 3599, 143, 3430, 3406, 518, 954, 1068, 302, 1701, 7355, 8909, 3701, 264, 5612, 5712, 8523, 5667, 5624, 942, 3055, 5079, 885, 4116, 8660, 9778, 7525, 1913, 8499, 9568, 102, 2612, 736, 706, 6031, 7632, 3399, 3908, 2049, 3429, 6003, 5286, 2630, 2574, 3865, 8655, 8820, 8854, 6418, 955, 1572, 8348, 3978, 421, 4494, 3361, 7756, 9876, 1716, 2653, 2741, 581, 622, 3348, 399, 7757, 1594, 2004, 3155, 64, 1237, 4459, 2609, 9905, 1586, 4442, 8646, 5797, 3451, 9575, 5929, 2400, 1841, 3330, 4249, 8693, 6390, 2854, 3165, 1767, 7153, 389, 2099, 8327, 2146, 4791, 2933, 4711, 6344, 6448, 8321, 8802, 1992, 1083, 2377, 8038, 6058, 6877, 7449, 7237, 1534, 4268, 1102, 9209, 4432, 994, 2528, 7613, 8498, 5953, 131, 2245, 166, 5615, 7889, 2277, 6301, 9032, 5559, 9920, 3439, 4353, 2281, 6220, 6502, 6461, 1087, 669, 618, 5970, 6403, 8994, 4849] # sE: 5,847; # a = [7588, 3555, 1048, 9347, 7288, 2169, 1990, 473, 6331, 7705, 3982, 1767, 8185, 4519, 1209, 3546, 7658, 7882, 5790, 7919, 8863, 4822, 4250, 8736, 4485, 8917, 2472, 2441, 1812, 9593, 9634, 6462, 7691, 620, 5122, 2455, 2214, 5204, 7026, 3945, 9150, 9484, 5137, 6148, 566, 3258, 7550, 5110, 1172, 9695, 1208, 788, 3103, 1977, 828, 7863, 5772, 6984, 8282, 2221, 3265, 9882, 4708, 9089, 508, 9356, 4450, 5531, 5669, 3298, 107, 1827, 205, 8763, 8967, 6017, 7615, 5949, 1304, 272, 4776, 6214, 9487, 2912, 2492, 5904, 2033, 4319, 6731, 5558, 7202, 851, 4174, 5349, 8968, 8377, 6932, 2828, 4372, 2267, 7439, 9165, 1824, 7307, 3230, 471, 281, 9192, 8624, 3711, 8386, 8295, 8343, 5140, 5543, 4891, 6842, 2190, 7493, 8752, 4627, 822, 1909, 2288, 3565, 7216, 1722, 7345, 8913, 4917, 6685, 7051, 2748, 1485, 954, 1102, 4289, 647, 5764, 1467, 2098, 7474, 1743, 5363, 7019, 6570, 8902, 493, 9822, 5480, 390, 7146, 4405, 4959, 4666, 4771, 67, 4565, 9714, 6826, 8669, 4411, 5554, 5645, 5327, 6871, 1971, 562, 517, 3062, 8495, 5407, 2654, 2541, 6796, 7965, 2775, 6166, 8161, 4041, 9955, 3511, 4353, 2052, 4647, 7922, 1199, 1559, 4300, 4129, 6049, 7347, 7066, 3932, 2677, 2545, 6558, 155, 8866, 7764, 5842, 1645, 3760, 9500, 8241, 4048, 2783, 7981, 6088, 4576, 6150, 6458, 5405, 8513, 6364, 5318, 5550, 5495, 1646, 8278, 4673, 6425, 5660, 2621, 5634, 4182, 283, 1215, 601, 7735, 93, 5036, 4543, 7241, 4122, 186, 2954, 1025, 3313, 4975, 2843, 9797, 3175, 847, 4220, 4667, 2520, 7707, 4054, 1358, 2738, 8896, 5396, 2156, 1237, 5603, 1216, 9289, 4839, 2245, 3729, 2652, 7804, 5147, 1252, 2607, 2225, 6605, 1401, 9994, 1121, 3923, 7812, 2617, 1, 7645, 7918, 1342, 3694, 4746, 800, 9860, 9720, 6934, 9272, 5921, 2549, 8215, 4693, 2640, 8678, 2160, 8918, 2139, 2987, 4789, 4564, 6969, 1589, 2512, 3949, 7420, 9307, 4020, 2624, 8594, 4827, 4205, 5591, 2144, 4692, 8517, 8856, 4219, 2464, 1718, 9794, 5047, 9536, 8997, 1725, 4973, 779, 9019, 8312, 4234, 5271, 274, 2697, 1438, 9231, 898, 472, 2686, 6040, 3432, 4261, 8376, 101, 9045, 4057, 5787, 2566, 2522, 9898, 6368, 8286, 2383, 1195, 53, 3366, 9440, 5538, 7563, 6024, 8793, 5342, 1422, 6841, 6345, 8677, 597, 830, 3878, 721, 2850, 8723, 1201, 5702, 8576, 2407, 5152, 8855, 7430, 4524, 9340, 1610, 8252, 7443, 5032, 5574, 191, 9858, 2985, 6522, 1437, 1309, 431, 8465, 6767, 5970, 68, 8303, 697, 4728, 3811, 4592, 8769, 6995, 6716, 1104, 1472, 7852, 6074, 3935, 8733, 9140, 535, 6412, 2170, 3509, 2470, 372, 6369, 559, 6335, 7268, 3485, 7073, 7761, 7958, 4212, 5230, 9060, 5474, 329, 8548, 5377, 6431, 6315, 6367, 38, 501, 6373, 8400, 6922, 9237, 6495, 1499, 665, 4345, 9825, 2003, 9643, 5361, 3217, 7219, 2048, 2415, 5415, 8339, 8694, 2860, 2797, 6291, 4005, 4213, 9497, 5365, 6920, 6065, 8645, 862, 1473, 4643, 1488, 5463, 8243, 1144, 5816, 8232, 9034, 1833, 522, 1717, 4081, 2483, 8971, 5553, 7688, 9115, 2010, 4738, 2784, 419, 7750, 5058, 8679, 8402, 7094, 322, 7626, 4505, 2953, 8954, 5843, 5952, 7871, 4445, 1397] # sE: 5,480; # a = [7246, 4974, 6083, 4085, 256, 6962, 6019, 6261, 4438, 7943, 9976, 7004, 768, 7990, 8468, 8122, 8494, 3987, 1550, 7171, 8994, 7119, 366, 9228, 5996, 4937, 5974, 2443, 5351, 7920, 4791, 1245, 3231, 7419, 971, 6807, 1432, 5798, 7868, 387, 3034, 4530, 3316, 46, 6108, 7820, 266, 2437, 6666, 4537, 7482, 2316, 3047, 4259, 4459, 9185, 7253, 468, 6899, 736, 5848, 7145, 1797, 7151, 3666, 5162, 2911, 1442, 9097, 8216, 7357, 1480, 7978, 122, 2659, 5648, 5709, 316, 7368, 5642, 7292, 4706, 5183, 4672, 2542, 4296, 3839, 2252, 2614, 5750, 7160, 8528, 8025, 3905, 6978, 1716, 1745, 559, 8162, 105, 7502, 8526, 3352, 612, 1493, 8132, 1614, 1860, 226, 7630, 8812, 9265, 1693, 9336, 8385, 3254, 6817, 6515, 8718, 8628, 8558, 2880, 4192, 6782, 1345, 3033, 4740, 6037, 3068, 3767, 5690, 8156, 3242, 278, 3152, 1924, 7103, 7418, 4221, 6095, 5661, 3336, 3098, 113, 1319, 8095, 1334, 3293, 18, 9672, 6667, 5558, 9357, 4968, 6434, 3142, 3041, 5610, 9804, 6117, 4602, 2555, 7805, 7950, 8817, 4108, 3252, 5749, 2018, 7777, 6910, 2603, 9409, 5864, 7744, 2490, 1735, 5414, 5569, 5209, 3096, 5004, 7688, 6295, 3300, 244, 5434, 2231, 1391, 3678, 1568, 8411, 9858, 6566, 8364, 3949, 8687, 3299, 8057, 7914, 8478, 7327, 6643, 9559, 8371, 9256, 2107, 9485, 829, 4449, 5949, 281, 8642, 1968, 7570, 4420, 7258, 5083, 352, 1426, 2464, 7332, 4524, 5758, 6759, 9658, 6247, 2416, 787, 6267, 3371, 6568, 1970, 4977, 4037, 8379, 7192, 3581, 9637, 1823, 1665, 8124, 3407, 9021, 6508, 7959, 2141, 9348, 6343, 697, 4102, 9671, 8905, 1022, 8756, 3575, 648, 2564, 4836, 5025, 7362, 3846, 1718, 133, 995, 5375, 3523, 4053, 2144, 255, 7497, 7698, 6995, 6531, 6021, 2197, 7176, 2593, 6740, 4955, 2569, 2871, 8366, 3765, 2959, 5024, 218, 4567, 322, 4940, 1557, 367, 7861, 7622, 6109, 1070, 1372, 4954, 2683, 5726, 1001, 5529, 1631, 7113, 4875, 3218, 8554, 1128, 1259, 7974, 5084, 4987, 4634, 9085, 5538, 2596, 293, 8225, 3677, 7299, 3966, 7781, 490, 2206, 5449, 8737, 6510, 950, 7792, 2998, 8547, 4216, 3779, 1769, 708, 8582, 8332, 9275, 7409, 9143, 9043, 9648, 8464, 3455, 8309, 1471, 4669, 1129, 8193, 1035, 4289, 2995, 826, 9014, 5427, 2941, 8235, 6975, 8056, 595, 5406, 6786, 2456, 5139, 260, 3687, 8655, 2859, 5108, 6007, 2519, 2571, 1146, 3631, 9604, 4864, 1773, 4100, 6358, 9674, 4831, 8977, 1347, 6879, 4244, 8784, 3412, 7911, 9377, 9463, 333, 3958, 915, 3069, 6456, 1794, 6402, 8344, 9894, 1654, 5328, 3269, 4751, 9962, 6586, 3074, 9791, 6901, 8168, 57, 5992, 9927, 3838, 1910, 4305, 10000, 6400, 9402, 7830, 7580, 9010, 8911, 4755, 421, 4049, 4531, 238, 9714, 9628, 3159, 693, 7584, 704, 7656, 6347, 8863, 1997, 4309, 50, 8634, 5457, 8835, 5020, 7707, 5490, 1009, 5415, 77, 377, 5177, 6028, 4708, 3999, 166, 224, 4088, 3303, 6863, 6263, 7971, 4897, 9753, 2653, 7561, 5685, 7941, 4734, 2484, 2682, 9649, 3686, 3514, 3820, 9059, 7318, 6045, 9327, 2420, 7783, 5751, 4563, 5632, 4542, 30, 3549, 2093, 662, 5535, 696, 5556, 5218, 4732, 8604, 7604, 9789, 221, 8789, 3816, 6227, 9217] maxx = 100000 # maxx = 6 stack_fix_split = False stack_fix_split = True def print_it(): print "\na: ", a # print "s: ", s print "b: ", b # print "sr: ", sr # print "ar: ", sorted(a, reverse=True) def rotate_push(stack, index): size = len(stack) if size - index < index: return (size - index) * -1 else: return index def find_spot(stack, num, minimum, maximum): maxi = b.index(maximum) mini = b.index(minimum) size = len(stack) # print "maximum: ", maximum # print "minimum: ", minimum # print "size: ", size if (num >= maximum): # maximum = num return (maxi) if (num <= minimum): # minimum = num return (mini + 1) if maxi == 0: for i, e in enumerate(stack): if e < num: return i return (size) # print "\n\n" for i, e in enumerate(range(maxi, size)): # print "b[", i, "+", maxi, "]: ", b[i + maxi] if b[i + maxi] < num: return i + maxi for i, e in enumerate(range(0, mini + 1)): # print "b[", i, "]: ", b[i] if b[i] < num: return i return (0) def rotate_spot(stack, num, minimum, maximum): spot = find_spot(stack, num, minimum, maximum) size = len(stack) # print "" # print "size: ", size # print "spot: ", spot # print "spot - size: ", spot - size # print "size - spot: ", size - spot # print "0 - spot: ", 0 - spot if size - spot == 0: # print "rotate_spot: size - spot == 0 -> ", spot return 0 elif size - spot < spot: # print "rotate_spot: size - spot < spot -> ", spot return spot - size # else: # print "rotate_spot: size - spot" # return spot # print "rotate_spot: default -> ", spot return spot def rotate_db_path(rot_push, rot_spot): size_a = len(a) size_b = len(b) # if rot_push * rot_spot <= 0: # if rot_spot < 0: # if size_b + rot_spot <= rot_push: # rot_spot = size_b + rot_spot # else: # if rot_spot - size_b >= rot_push: # rot_spot = rot_spot - size_b # if rot_push < 0: # if size_a + rot_push <= rot_spot: # rot_push = size_a + rot_push # else: # if rot_push - size_a >= rot_spot: # rot_push = rot_push - size_a if (rot_push > 0 and rot_spot > 0) or (rot_push < 0 and rot_spot < 0): return 1 + max(abs(rot_push), abs(rot_spot)) else: return 1 + abs(rot_push) + abs(rot_spot) def prep_stack_push(rot_push, rot_spot): size_a = len(a) size_b = len(b) while rot_push != 0 or rot_spot != 0: # if rot_push * rot_spot <= 0: # if rot_spot < 0: # if size_b + rot_spot <= rot_push: # rot_spot = size_b + rot_spot # else: # if rot_spot - size_b >= rot_push: # rot_spot = rot_spot - size_b # if rot_push < 0: # if size_a + rot_push <= rot_spot: # rot_push = size_a + rot_push # else: # if rot_push - size_a >= rot_spot: # rot_push = rot_push - size_a if (rot_push > 0 and rot_spot > 0): rr() rot_push -= 1 rot_spot -= 1 elif(rot_push < 0 and rot_spot < 0): rrr() rot_push += 1 rot_spot += 1 if rot_push > 0: ra() rot_push -= 1 elif rot_push < 0: rra() rot_push += 1 if rot_spot > 0: rb() rot_spot -= 1 elif rot_spot < 0: rrb() rot_spot += 1 # print "pre push a: ", a # print "pre push b: ", b def merge_b(): while len(b) > 0: pa() n = len(a) # n = 100; a = random.sample(range(10000), n) b = [] past = list(a) s = sorted(a) sr = sorted(s, reverse=True) og = list(a) print_it() # pb(); # # pb(); # # pb(); # # rb() # # rb(); # # pb(); # # stack_fix() # # rb(); # print_it() # short_index = 0 # short_value = 2147483647 # for i, e in enumerate(a): # push = rotate_push(a, i) # spot = find_spot(b, e) # rot_spot = rotate_spot(b, e) # total = rotate_db_opt(push, rot_spot) # print "\ni: ", i, " e: ", e # print "push: ", push # print "spot: ", spot # print "rot_spot: ", rot_spot # print "total: ", total # if total < short_value: # short_value = total # short_index = i # print short_index # print short_value # maxx = 100000 # # maxx = 6 iteri = 0 pb() # pb() # if b[0] != min(b): # sb() total_push = 0 num_push = 0 push_array = [] total_spot = 0 num_spot = 0 spot_array = [] num_array = [] total_total = 0 num_total = 0 total_array = [] len_a_array = [] len_b_array = [] stats_iter = 0 push_iter = [] spot_iter = [] total_iter = [] num_iter = [] fake_a = [] fake_b = [] chosen_i = 0 # while b != sr and iteri < maxx: # while len(a) > 0 and iteri < maxx: while len(a) > 0: # if a == sorted(a, reverse=True) and min(a) > max(b): # break; short_index = 0 short_value = 2147483647 minimum = min(b) maximum = max(b) for i, e in enumerate(a): # print "\ni: ", i, "e: ", e push = rotate_push(a, i) rot_spot = rotate_spot(b, e, minimum, maximum) total = rotate_db_path(push, rot_spot) if total < short_value: short_value = total short_index = i # if iteri == stats_iter: # num_iter.append(e) # push_iter.append(push) # spot_iter.append(rot_spot) # total_iter.append(total) # fake_b = list(b) # fake_a = list(a) rot_push = rotate_push(a, short_index) rot_spot = rotate_spot(b, a[short_index], minimum, maximum) # total_push += abs(rot_push) # total_spot += abs(rot_spot) # total_total += short_value # num_push += 1 # num_spot += 1 # num_total += 1 # len_a_array.append(len(a)) # len_b_array.append(len(b)) # num_array.append(a[short_index]) # push_array.append(rot_push) # spot_array.append(rot_spot) # total_array.append(short_value) # if iteri == stats_iter: # chosen_i = short_index # print "action:" # print "num: ", a[short_index] # print "rot_push: ", rot_push # print "rot_spot: ", rot_spot # print "spot: ", find_spot(b, a[short_index], minimum, maximum) # print "short_value: ", short_value # print "short_index: ", short_index # print "op: ", op prep_stack_push(rot_push, rot_spot) pb() # print_it() # iteri += 1 if len(b) / 2 > b.index(max(b)): while b[0] != max(b): rb() else: while b[0] != max(b): rrb() merge_b() # print "" # print "stats: " # print "total push path: ", total_push # print "count push path: ", num_push # print "avg push path: ", total_push / num_push # print "median push path: ", push_array[len(push_array)/2] # print "push paths: ", push_array # print "" # print "total spot path: ", total_spot # print "count spot path: ", num_spot # print "avg spot path: ", total_spot / num_spot # print "median spot path: ", spot_array[len(spot_array)/2] # print "spot paths: ", spot_array # print "" # print "total total path: ", total_total # print "count total path: ", num_total # print "avg total path: ", total_total / num_total # print "median total path: ", total_array[len(total_array)/2] # print "total paths: ", total_array # print "" # for i, e in enumerate(push_array): # if i % 3 == 0 and i != 0: # print "" # print "i: %3d -> " % i, "%5d" % num_array[i], "(%4d" % e, ", %4d" % spot_array[i], ", %4d" % total_array[i], ", %3d" % len_a_array[i], ", %3d)" % len_b_array[i], " ", # print "" # print "" # print "stat_iter: ", stats_iter, " choose: ", chosen_i # for i, e in enumerate(push_iter): # if i % 4 == 0 and i != 0: # print "" # print "i: %3d -> " % i, "%5d" % num_iter[i], "(%4d" % e, ", %4d" % spot_iter[i], ", %4d)" % total_iter[i], " ", # print "" # print "" # print "fake_a: ", fake_a # print "" # print "" # print "fake_b: ", fake_b print "" print "original: ", og print_it() print "\nopts: ", op print "sorted: ", a == sorted(a)

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pagesext/tests/urls.py

dlancer/django-pages-cms-extensions

4aa6f2780abef9543ced20258ede01a9662167b3

[ "BSD-3-Clause" ]

1

2016-07-08T07:23:20.000Z

pagesext/tests/urls.py

dlancer/django-pages-cms-extensions

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pagesext/tests/urls.py

dlancer/django-pages-cms-extensions

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from django.conf.urls import url, include from django.conf.urls.i18n import i18n_patterns urlpatterns = i18n_patterns(url(r'^page/', include('pages.urls', namespace='pages')), )

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pytest_cache_assert/_check_assert/__init__.py

KyleKing/pytest_cache_assert

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pytest_cache_assert/_check_assert/__init__.py

KyleKing/pytest_cache_assert

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pytest_cache_assert/_check_assert/__init__.py

KyleKing/pytest_cache_assert

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"""Private package for pytest_check_assert."""

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mulfile/__init__.py

matkrin/mulfile

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2022-02-17T09:16:59.000Z

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mulfile/__init__.py

matkrin/mulfile

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mulfile/__init__.py

matkrin/mulfile

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[ "BSD-3-Clause" ]

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from typing import Callable, Union from . import mul def load(file: str) -> Union[mul.Mul, mul.MulImage]: """ """ return mul.read_mul(file)

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ty251314/test01

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ty251314/test01

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soil/build/lib/soil/api/v1/openstack/compute/__init__.py

JackDan9/soil

ae612a4634634aace834491fbdefbc69e6167674

[ "MIT" ]

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2020-08-06T11:58:35.000Z

soil/build/lib/soil/api/v1/openstack/compute/__init__.py

JackDan9/soil

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soil/build/lib/soil/api/v1/openstack/compute/__init__.py

JackDan9/soil

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py

Python

pik/core/shortcuts/request.py

paulanti/pik-django-utils

fbc67aa98545f692ef9553cd3f4d8b141ba3b0b1

[ "MIT" ]

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2018-06-14T07:19:46.000Z

2022-02-11T04:20:07.000Z

pik/core/shortcuts/request.py

paulanti/pik-django-utils

fbc67aa98545f692ef9553cd3f4d8b141ba3b0b1

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2018-08-09T07:00:46.000Z

2021-12-22T14:21:40.000Z

pik/core/shortcuts/request.py

paulanti/pik-django-utils

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2020-06-09T10:59:41.000Z

2022-03-28T07:11:47.000Z

from typing import Optional from django.http import HttpRequest from simple_history.models import HistoricalRecords def get_current_request() -> Optional[HttpRequest]: return getattr(HistoricalRecords.thread, 'request', None)

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Python

tests/api/test_wolproxypyapi.py

bateman/wolproxypyapi

41e955cf08bc5c677a7b97513082827211998889

[ "MIT" ]

null

tests/api/test_wolproxypyapi.py

bateman/wolproxypyapi

41e955cf08bc5c677a7b97513082827211998889

[ "MIT" ]

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2021-12-28T07:56:06.000Z

2022-01-17T12:20:37.000Z

tests/api/test_wolproxypyapi.py

bateman/wolproxypyapi

41e955cf08bc5c677a7b97513082827211998889

[ "MIT" ]

null

"""Unit tests for the api module."""

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py

Python

orttraining/orttraining/test/python/orttraining_test_bert_postprocess.py

dennyac/onnxruntime

d5175795d2b7f2db18b0390f394a49238f814668

[ "MIT" ]

6,036

2019-05-07T06:03:57.000Z

2022-03-31T17:59:54.000Z

orttraining/orttraining/test/python/orttraining_test_bert_postprocess.py

dennyac/onnxruntime

d5175795d2b7f2db18b0390f394a49238f814668

[ "MIT" ]

5,730

2019-05-06T23:04:55.000Z

2022-03-31T23:55:56.000Z

orttraining/orttraining/test/python/orttraining_test_bert_postprocess.py

dennyac/onnxruntime

d5175795d2b7f2db18b0390f394a49238f814668

[ "MIT" ]

1,566

2019-05-07T01:30:07.000Z

2022-03-31T17:06:50.000Z

from orttraining_test_model_transform import add_name, fix_transpose, add_expand_shape from orttraining_test_layer_norm_transform import layer_norm_transform def postprocess_model(model): add_name(model)

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src/resource_identifier/syntax.py

gxagxagxa/zam-core

071c51d08d7bca364a5aa2048e4f53f829c032c6

[ "MIT" ]

null

src/resource_identifier/syntax.py

gxagxagxa/zam-core

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src/resource_identifier/syntax.py

gxagxagxa/zam-core

071c51d08d7bca364a5aa2048e4f53f829c032c6

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null

class ZamResourceIdentifierSyntax(object): @staticmethod def validate(resource_id) -> bool: return True

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py

Python

tests/pipelines/test_validate.py

open-contracting/kingfisher-collect

2fbbd6361a0ec959e0603343a4b363f97fae3815

[ "BSD-3-Clause" ]

7

2020-07-24T13:15:37.000Z

2021-12-11T22:40:07.000Z

tests/pipelines/test_validate.py

open-contracting/kingfisher-collect

2fbbd6361a0ec959e0603343a4b363f97fae3815

[ "BSD-3-Clause" ]

418

2020-04-27T22:15:27.000Z

2022-03-31T23:49:34.000Z

tests/pipelines/test_validate.py

open-contracting/kingfisher-collect

2fbbd6361a0ec959e0603343a4b363f97fae3815

[ "BSD-3-Clause" ]

6

2020-05-28T16:06:53.000Z

2021-03-16T02:54:15.000Z

import pytest from jsonschema import ValidationError from scrapy.exceptions import DropItem from kingfisher_scrapy.items import File, FileError, FileItem from kingfisher_scrapy.pipelines import Validate from tests import spider_with_crawler def test_process_item(): pipeline = Validate() item = File({ 'file_name': 'test', 'data': 'data', 'data_type': 'release_package', 'url': 'http://test.com', }) assert pipeline.process_item(item, None) == item item['data'] = item['data'].encode('ascii') item['file_name'] = 'test2' assert pipeline.process_item(item, None) == item def test_process_item_error(): pipeline = Validate() item = File({ 'data': 'data', 'data_type': 'release_package', 'url': 'http://test.com', }) with pytest.raises(ValidationError): pipeline.process_item(item, None) item['file_name'] = 'test' item['data_type'] = 'not a valid data type' with pytest.raises(ValidationError): pipeline.process_item(item, None) def test_process_file_item(): pipeline = Validate() item = FileItem({ 'file_name': 'test', 'data': 'data', 'data_type': 'release_package', 'url': 'http://test.com', 'number': 1 }) assert pipeline.process_item(item, None) == item def test_process_file_item_error(): pipeline = Validate() item = FileItem({ 'file_name': 'test', 'data': 'data', 'data_type': 'release_package', 'url': 'http://test.com', 'number': "2" }) with pytest.raises(ValidationError): pipeline.process_item(item, None) item['number'] = None with pytest.raises(ValidationError): pipeline.process_item(item, None) def test_process_file_error(): pipeline = Validate() item = FileError({ 'file_name': 'test', 'url': 'http://test.com', 'errors': 'Error' }) assert pipeline.process_item(item, None) == item def test_process_file_item_error_error(): pipeline = Validate() item = FileError({ 'file_name': 'test', 'url': 'http://test.com' }) with pytest.raises(ValidationError): pipeline.process_item(item, None) item['errors'] = 'Error' item['url'] = 'not an url' with pytest.raises(ValidationError): pipeline.process_item(item, None) def test_process_item_duplicate_file(caplog): pipeline = Validate() spider = spider_with_crawler() item = File({ 'file_name': 'test1', 'data': 'data', 'data_type': 'release_package', 'url': 'http://example.com', }) pipeline.process_item(item, spider) with pytest.raises(DropItem) as excinfo: pipeline.process_item(item, spider) item2 = item.copy() item2['file_name'] = 'file2' pipeline.process_item(item2, spider) assert str(excinfo.value) == "Duplicate File: 'test1'" def test_process_item_duplicate_file_item(caplog): pipeline = Validate() spider = spider_with_crawler() item = FileItem({ 'file_name': 'test1', 'data': 'data', 'data_type': 'release_package', 'url': 'http://example.com', 'number': 1 }) pipeline.process_item(item, spider) with pytest.raises(DropItem) as excinfo: pipeline.process_item(item, spider) item2 = item.copy() item2['number'] = 2 pipeline.process_item(item2, spider) assert str(excinfo.value) == "Duplicate FileItem: ('test1', 1)"

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Python

app/auth/__init__.py

Joey-Wondersign/Staffjoy-suite-Joey

b6d0d87b8e60e6b866810ebeed631fb02fadad48

[ "MIT" ]

890

2017-02-25T07:11:09.000Z

2022-03-08T05:49:20.000Z

app/auth/__init__.py

Joey-Wondersign/Staffjoy-suite-Joey

b6d0d87b8e60e6b866810ebeed631fb02fadad48

[ "MIT" ]

11

2017-02-25T18:07:11.000Z

2020-10-19T13:09:41.000Z

app/auth/__init__.py

nfriedly/suite

c58c772d98d1476cad0531b8a296f27ad2ab945c

[ "MIT" ]

276

2017-02-25T09:01:23.000Z

2022-03-19T02:24:02.000Z

from flask import Blueprint auth = Blueprint( 'auth', __name__, template_folder='templates', static_folder='static') from . import views

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Python

leetcode/count_and_say.py

callmekungfu/daily

aacea65ba5d276ea54e171a59e9fd05365a3bf44

[ "MIT" ]

null

leetcode/count_and_say.py

callmekungfu/daily

aacea65ba5d276ea54e171a59e9fd05365a3bf44

[ "MIT" ]

null

leetcode/count_and_say.py

callmekungfu/daily

aacea65ba5d276ea54e171a59e9fd05365a3bf44

[ "MIT" ]

null

class Solution: def countAndSay(self, n: int) -> str: pass

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py

Python

src/main/switch/model.py

dennisschroeder/jetson-detectify

4a6800ae5aefa1fb9167e2fd4743015b7d751b09

[ "MIT" ]

1

2021-02-16T08:46:58.000Z

src/main/switch/model.py

dennisschroeder/jetson-detectify

4a6800ae5aefa1fb9167e2fd4743015b7d751b09

[ "MIT" ]

null

src/main/switch/model.py

dennisschroeder/jetson-detectify

4a6800ae5aefa1fb9167e2fd4743015b7d751b09

[ "MIT" ]

null

from peewee import CharField from .. import BaseModel class Switch(BaseModel): name: str = CharField(unique=True)

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py

Python

list-app/app.py

Els-Socis/prison-wods

450117947654cd4878f6ca0dbea92884e71ebaa0

[ "MIT" ]

null

list-app/app.py

Els-Socis/prison-wods

450117947654cd4878f6ca0dbea92884e71ebaa0

[ "MIT" ]

null

list-app/app.py

Els-Socis/prison-wods

450117947654cd4878f6ca0dbea92884e71ebaa0

[ "MIT" ]

null

from src.server import main main(__name__)

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py

Python

tools/genesis/bitcoin_genesis.py

obulpathi/bitcoinpy

8f41e0221f2ff2d35697b6d4e5397deb7de09c3d

[ "MIT" ]

21

2016-01-03T14:52:07.000Z

2021-08-09T18:05:08.000Z

tools/genesis/bitcoin_genesis.py

obulpathi/bitcoinpy

8f41e0221f2ff2d35697b6d4e5397deb7de09c3d

[ "MIT" ]

null

tools/genesis/bitcoin_genesis.py

obulpathi/bitcoinpy

8f41e0221f2ff2d35697b6d4e5397deb7de09c3d

[ "MIT" ]

15

2015-02-07T20:08:11.000Z

2019-10-03T04:45:45.000Z

#!/usr/bin/env python import binascii from bitcoin.core import COutPoint, CTxIn, CTxOut, CTransaction, CBlock coinbase = "04ffff001d0104455468652054696d65732030332f4a616e2f32303039204368616e63656c6c6f72206f6e206272696e6b206f66207365636f6e64206261696c6f757420666f722062616e6b73" scriptPubKeyHex = "4104678afdb0fe5548271967f1a67130b7105cd6a828e03909a67962e0ea1f61deb649f6bc3f4cef38c4f35504e51ec112de5c384df7ba0b8d578a4c702b6bf11d5fac" # construct previous out point previousOut = COutPoint() previousOut.hash = 0 previousOut.n = 4294967295 # construct txin txin = CTxIn() txin.coinbase = binascii.unhexlify(coinbase) txin.scriptSig = binascii.unhexlify(coinbase) txin.prevout = previousOut # construct txout txout = CTxOut() txout.nValue = 5000000000 txout.scriptPubKey = binascii.unhexlify(scriptPubKeyHex) # create transaction tx = CTransaction() tx.vin.append(txin) tx.vout.append(txout) tx.calc_sha256() print tx print "Transaction: ", tx.is_valid() print "hash: ", hex(tx.sha256) print "Hash: ", "0x4a5e1e4baab89f3a32518a88c31bc87f618f76673e2cc77ab2127b7afdeda33b" block = CBlock() block.nVersion = 1 block.hashPrevBlock = 0 block.hashMerkleRoot = 0x4a5e1e4baab89f3a32518a88c31bc87f618f76673e2cc77ab2127b7afdeda33b block.nTime = 1231006505 block.nBits = 486604799 # 0x1d00ffff block.nNonce = 2083236893 block.vtx = [tx] block.calc_sha256() print "Calculated hash: ", hex(block.sha256) print " >>>>>>>>>>>>>>: ", "0x000000000019d6689c085ae165831e934ff763ae46a2a6c172b3f1b60a8ce26f" # #print block.is_valid() genesis = binascii.hexlify(block.serialize()) print "Version: ", genesis[:8] print "Previous block: ", genesis[8:72] print "Merkle root: ", genesis[72:136] print "Match : ", "3BA3EDFD7A7B12B27AC72C3E67768F617FC81BC3888A51323A9FB8AA4B1E5E4A" print "Time stamp: ", genesis[136:144] print "Match: : ", "29AB5F49" print "nBits: ", genesis[144:152] print "Match: ", "FFFF001D" print "Nonce: ", genesis[152:160] print "Match: ", "1DAC2B7C" print "# transactions: ", genesis[160:162] print "Match : ", "01" print "Version: ", genesis[162:170] print "Input: ", genesis[170:172] print "previous out:", genesis[172:244] print "Match :", "0000000000000000000000000000000000000000000000000000000000000000FFFFFFFF" print "Script length: ", genesis[244:246] print "scriptSig: ", genesis[246:400] print "match : ", "04FFFF001D0104455468652054696D65732030332F4A616E2F32303039204368616E63656C6C6F72206F6E206272696E6B206F66207365636F6E64206261696C6F757420666F722062616E6B73" print "sequence: ", genesis[400:408] print "match : ", "ffffffff" print "outputs: ", genesis[408:410] print "nValue:", genesis[410:426] print "match: ", "00F2052A01000000" print "script length: ", genesis[426:428] print "out put script: ", genesis[428:562] print "match: ", "4104678AFDB0FE5548271967F1A67130B7105CD6A828E03909A67962E0EA1F61DEB649F6BC3F4CEF38C4F35504E51EC112DE5C384DF7BA0B8D578A4C702B6BF11D5FAC" print "lock time : ", genesis[562:570] blkchain = open('genesis.dat', 'wb') magic = "bef9d9b4011d0000" magic = 'f9beb4d91d010000' blkchain.write(binascii.unhexlify(magic + genesis)) blkchain.close() """ 4D - script length 04FFFF001D0104455468652054696D65732030332F4A616E2F32303039204368616E63656C6C6F72206F6E206272696E6B206F66207365636F6E64206261696C6F757420666F722062616E6B73 - scriptsig FFFFFFFF - sequence 01 - outputs 00F2052A01000000 - 50 BTC 43 - pk_script length 4104678AFDB0FE5548271967F1A67130B7105CD6A828E03909A67962E0EA1F61DEB649F6BC3F4CEF38C4F35504E51EC112DE5C384DF7BA0B8D578A4C702B6BF11D5FAC - pk_script 00000000 - lock time """ """ { "hash":"000000000019d6689c085ae165831e934ff763ae46a2a6c172b3f1b60a8ce26f", "ver":1, "prev_block":"0000000000000000000000000000000000000000000000000000000000000000", "mrkl_root":"4a5e1e4baab89f3a32518a88c31bc87f618f76673e2cc77ab2127b7afdeda33b", "time":1231006505, "bits":486604799, "nonce":2083236893, "n_tx":1, "size":285, "tx":[ { "hash":"4a5e1e4baab89f3a32518a88c31bc87f618f76673e2cc77ab2127b7afdeda33b", "ver":1, "vin_sz":1, "vout_sz":1, "lock_time":0, "size":204, "in":[ { "prev_out":{ "hash":"0000000000000000000000000000000000000000000000000000000000000000", "n":4294967295 }, "coinbase":"04ffff001d0104455468652054696d65732030332f4a616e2f32303039204368616e63656c6c6f72206f6e206272696e6b206f66207365636f6e64206261696c6f757420666f722062616e6b73" } ], "out":[ { "value":"50.00000000", "scriptPubKey":"04678afdb0fe5548271967f1a67130b7105cd6a828e03909a67962e0ea1f61deb649f6bc3f4cef38c4f35504e51ec112de5c384df7ba0b8d578a4c702b6bf11d5f OP_CHECKSIG" } ] } ], "mrkl_tree":[ "4a5e1e4baab89f3a32518a88c31bc87f618f76673e2cc77ab2127b7afdeda33b" ] } """

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py

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src/oolongt/io/__init__.py

schmamps/textteaser

e948ac6c0a4a4a44c7011206d7df236529d7813d

[ "MIT" ]

2

2020-02-18T09:13:13.000Z

2021-06-12T13:16:13.000Z

src/oolongt/io/__init__.py

schmamps/textteaser

e948ac6c0a4a4a44c7011206d7df236529d7813d

[ "MIT" ]

null

src/oolongt/io/__init__.py

schmamps/textteaser

e948ac6c0a4a4a44c7011206d7df236529d7813d

[ "MIT" ]

1

2019-05-05T14:43:53.000Z

"""Initialize I/O subpackage""" from .io import read_file, get_stream, load_json # noqa: F401

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py

Python

opentuner/search/__init__.py

rdturnermtl/opentuner

340f291b7934196a141c1454814f6c072fcd0d77

[ "MIT" ]

29

2020-06-19T18:07:38.000Z

2022-01-03T23:06:53.000Z

opentuner/search/__init__.py

rdturnermtl/opentuner

340f291b7934196a141c1454814f6c072fcd0d77

[ "MIT" ]

4

2020-07-14T16:20:23.000Z

2021-05-15T13:56:24.000Z

opentuner/search/__init__.py

rdturnermtl/opentuner

340f291b7934196a141c1454814f6c072fcd0d77

[ "MIT" ]

2

2020-06-20T00:43:23.000Z

2020-12-26T00:38:31.000Z

from __future__ import absolute_import from . import driver from . import objective from . import plugin from . import technique

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py

Python

docs/tutorial/rl_policy_gradient_tutorial/pong_model2.py

yuhonghong66/minpy

2e44927ad0fbff9295e2acf6db636e588fdc5b42

[ "Apache-2.0" ]

1,271

2015-11-05T10:53:40.000Z

2022-02-20T08:33:35.000Z

docs/tutorial/rl_policy_gradient_tutorial/pong_model2.py

yuhonghong66/minpy

2e44927ad0fbff9295e2acf6db636e588fdc5b42

[ "Apache-2.0" ]

140

2016-04-07T02:55:19.000Z

2019-08-02T06:01:53.000Z

docs/tutorial/rl_policy_gradient_tutorial/pong_model2.py

yuhonghong66/minpy

2e44927ad0fbff9295e2acf6db636e588fdc5b42

[ "Apache-2.0" ]

144

2015-11-05T10:53:45.000Z

2022-03-25T05:38:09.000Z

def loss(self, ps, ys, rs): step_losses = ys * np.log(ps) + (1.0 - ys) * np.log(1.0 - ps) return -np.sum(step_losses * rs)

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py

Python

tests/__init__.py

treyhunner/countdown

bee05652893aa3472c001a3eb270c9139bafe32c

[ "MIT" ]

1

2022-01-12T07:28:25.000Z

tests/__init__.py

treyhunner/countdown

bee05652893aa3472c001a3eb270c9139bafe32c

[ "MIT" ]

33

2021-12-30T00:16:08.000Z

2022-03-31T07:33:26.000Z

tests/__init__.py

treyhunner/countdown-cli

bee05652893aa3472c001a3eb270c9139bafe32c

[ "MIT" ]

null

"""Test suite for the countdown package."""

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py

Python

terminusdb_client/tests/woqljson/woqlAndJson.py

KarenImmanuel/terminusdb-client-python

b96212dbe5c72a0d6ffefdcc6994b2078c05b31d

[ "Apache-2.0" ]

1

2020-10-05T15:41:22.000Z

terminusdb_client/tests/woqljson/woqlAndJson.py

KarenImmanuel/terminusdb-client-python

b96212dbe5c72a0d6ffefdcc6994b2078c05b31d

[ "Apache-2.0" ]

null

terminusdb_client/tests/woqljson/woqlAndJson.py

KarenImmanuel/terminusdb-client-python

b96212dbe5c72a0d6ffefdcc6994b2078c05b31d

[ "Apache-2.0" ]

null

WOQL_AND_JSON = { "@type": "woql:And", "woql:query_list": [ { "@type": "woql:QueryListElement", "woql:index": {"@type": "xsd:nonNegativeInteger", "@value": 0}, "woql:query": { "@type": "woql:Triple", "woql:subject": {"@type": "woql:Node", "woql:node": "doc:a"}, "woql:predicate": {"@type": "woql:Node", "woql:node": "scm:b"}, "woql:object": { "@type": "woql:Datatype", "woql:datatype": {"@type": "xsd:string", "@value": "c"}, }, }, }, { "@type": "woql:QueryListElement", "woql:index": {"@type": "xsd:nonNegativeInteger", "@value": 1}, "woql:query": { "@type": "woql:Triple", "woql:subject": {"@type": "woql:Node", "woql:node": "doc:1"}, "woql:predicate": {"@type": "woql:Node", "woql:node": "scm:2"}, "woql:object": { "@type": "woql:Datatype", "woql:datatype": {"@type": "xsd:string", "@value": "3"}, }, }, }, ], }

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py

Python

measures/entropy_plots.py

NMVRodrigues/TFNE

44538844f115ee11bbc58d4b7ba33526f17e2264

[ "MIT" ]

2

2020-07-17T22:13:40.000Z

2020-08-07T14:57:01.000Z

measures/entropy_plots.py

NMVRodrigues/TFNE

44538844f115ee11bbc58d4b7ba33526f17e2264

[ "MIT" ]

null

measures/entropy_plots.py

NMVRodrigues/TFNE

44538844f115ee11bbc58d4b7ba33526f17e2264

[ "MIT" ]

null

import numpy as np import sys import matplotlib.pyplot as plt import pandas as pd import os dsets = ['MNIST', 'FMNIST','CIFAR10', 'SVHN'] #dsetname = 'SVHN' #walktype = 'SelectiveWalk' #maindir = os.path.join('results', dsetname, walktype) learning, params, topology = [],[],[] for dset in dsets: maindir = os.path.join('results', dset, 'SelectiveWalk') learning.append(pd.read_csv(os.path.join(maindir, 'learning', 'loss', 'csvsEntropy.csv'), sep=';').iloc[11]) params.append(pd.read_csv(os.path.join(maindir, 'params', 'loss', 'csvsEntropy.csv'), sep=';').iloc[11]) topology.append(pd.read_csv(os.path.join(maindir, 'topology', 'loss', 'csvsEntropy.csv'), sep=';').iloc[11]) #learning = pd.read_csv(os.path.join(maindir, 'learning', 'loss', 'csvsEntropy.csv'), sep=';') #params = pd.read_csv(os.path.join(maindir, 'params', 'loss', 'csvsEntropy.csv'), sep=';') #topology = pd.read_csv(os.path.join(maindir, 'topology', 'loss', 'csvsEntropy.csv'), sep=';') #ticks = ['0', '$\u03B5^*/128$', '$\u03B5^*/64$', '$\u03B5^*/32$', '$\u03B5^*/16$', '$\u03B5^*/8$', '$\u03B5^*/4$', '$\u03B5^*/2$', '$\u03B5^*$'] ticks = ['0', r'$\frac{ε^*}{128}$', r'$\frac{ε^*}{64}$', r'$\frac{ε^*}{32}$', r'$\frac{ε^*}{16}$', r'$\frac{ε^*}{8}$', r'$\frac{ε^*}{4}$', r'$\frac{ε^*}{2}$', r'$ε^*$'] plt.figure(dpi=1000) plt.ylabel('H(ε)', fontsize=20) plt.xlabel('ε', fontsize=20) plt.xticks([1,2,3,4,5,6,7,8,9],ticks) plt.ylim(0, 1) plt.plot([1,2,3,4,5,6,7,8,9], learning[0], marker='.', linestyle=':', linewidth=1, label='MNIST') plt.plot([1,2,3,4,5,6,7,8,9], learning[1], marker='1', linestyle=':', linewidth=1, label='FMNIST') plt.plot([1,2,3,4,5,6,7,8,9], learning[2], marker='+', linestyle=':', linewidth=1, label='CIFAR10') plt.plot([1,2,3,4,5,6,7,8,9], learning[3], marker='x', linestyle=':', linewidth=1, label='SVHN') plt.legend(fontsize='x-large') plt.tight_layout() plt.xticks(fontsize=20) plt.savefig('learning.png') plt.figure(dpi=1000) plt.ylabel('H(ε)', fontsize=20) plt.xlabel('ε', fontsize=20) plt.xticks([1,2,3,4,5,6,7,8,9],ticks) plt.ylim(0, 1) plt.plot([1,2,3,4,5,6,7,8,9], params[0], marker='.', linestyle=':', linewidth=1, label='MNIST') plt.plot([1,2,3,4,5,6,7,8,9], params[1], marker='1', linestyle=':', linewidth=1, label='FMNIST') plt.plot([1,2,3,4,5,6,7,8,9], params[2], marker='+', linestyle=':', linewidth=1, label='CIFAR10') plt.plot([1,2,3,4,5,6,7,8,9], params[3], marker='x', linestyle=':', linewidth=1, label='SVHN') plt.tight_layout() plt.xticks(fontsize=20) plt.savefig('params.png') plt.figure(dpi=1000) plt.ylabel('H(ε)', fontsize=20) plt.xlabel('ε', fontsize=20) plt.xticks([1,2,3,4,5,6,7,8,9],ticks) plt.ylim(0, 1) plt.plot([1,2,3,4,5,6,7,8,9], topology[0], marker='.', linestyle=':', linewidth=1, label='MNIST') plt.plot([1,2,3,4,5,6,7,8,9], topology[1], marker='1', linestyle=':', linewidth=1, label='FMNIST') plt.plot([1,2,3,4,5,6,7,8,9], topology[2], marker='+', linestyle=':', linewidth=1, label='CIFAR10') plt.plot([1,2,3,4,5,6,7,8,9], topology[3], marker='x', linestyle=':', linewidth=1, label='SVHN') plt.tight_layout() plt.xticks(fontsize=20) plt.savefig('topology.png')

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0.030738

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0.754611

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0

0.090846

0.078005

3,128

71

169

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ecba06b03404e61d8f284d0168420019867c55f4

33,871

py

Python

pyart/graph/gridmapdisplay.py

josephhardinee/pyart

909cd4a36bb4cae34349294d2013bc7ad71d0969

[ "OLDAP-2.6", "Python-2.0" ]

null

pyart/graph/gridmapdisplay.py

josephhardinee/pyart

909cd4a36bb4cae34349294d2013bc7ad71d0969

[ "OLDAP-2.6", "Python-2.0" ]

null

pyart/graph/gridmapdisplay.py

josephhardinee/pyart

909cd4a36bb4cae34349294d2013bc7ad71d0969

[ "OLDAP-2.6", "Python-2.0" ]

null

""" pyart.graph.gridmapdisplay ========================== A class for plotting grid objects with a basemap. .. autosummary:: :toctree: generated/ :template: dev_template.rst GridMapDisplay """ from __future__ import print_function import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.basemap import Basemap from mpl_toolkits.basemap import pyproj from . import common class GridMapDisplay(): """ A class for creating plots from a grid object on top of a Basemap. Parameters ---------- grid : Grid Grid with data which will be used to create plots. debug : bool True to print debugging messages, False to supress them. Attributes ---------- grid : Grid Grid object. debug : bool True to print debugging messages, False to supressed them. proj : Proj Object for performing cartographic transformations specific to the grid. grid_lons : array Grid longitudes in degrees. grid_lats : array Grid latitudes in degress. basemap : Basemap Last plotted basemap, None when no basemap has been plotted. mappables : list List of ContourSet, etc. which have been plotted, useful when adding colorbars. fields : list List of fields which have been plotted. """ def __init__(self, grid, debug=False): """ initalize the object. """ self.grid = grid self.debug = debug # set up the projection lat0 = grid.axes['lat']['data'][0] lon0 = grid.axes['lon']['data'][0] self.proj = pyproj.Proj(proj='aeqd', datum='NAD83', lat_0=lat0, lon_0=lon0) # determine grid latitudes and longitudes. x_1d = grid.axes['x_disp']['data'] y_1d = grid.axes['y_disp']['data'] x_2d, y_2d = np.meshgrid(x_1d, y_1d) self.grid_lons, self.grid_lats = self.proj(x_2d, y_2d, inverse=True) # set attributes self.mappables = [] self.fields = [] self.origin = 'origin' self.basemap = None def plot_basemap(self, lat_lines=None, lon_lines=None, resolution='l', area_thresh=10000, auto_range=True, min_lon=-92, max_lon=-86, min_lat=40, max_lat=44, ax=None, **kwargs): """ Plot a basemap. Parameters ---------- lat_lines, lon_lines : array or None Locations at which to draw latitude and longitude lines. None will use default values which are resonable for maps of North America. auto_range : bool True to determine map ranges from the grid_lats and grid_lons attribute. False will use the min_lon, max_lon, min_lat, and max_lat parameters for the map range. min_lat, max_lat, min_lon, max_lon : float Latitude and longitude ranges for the map projection region in degrees. These parameter are not used if auto_range is True. resolution : 'c', 'l', 'i', 'h', or 'f'. Resolution of boundary database to use. See Basemap documentation for details. area_thresh : int Basemap area_thresh parameter. See Basemap documentation. ax : axes or None. Axis to add the basemap to, if None the current axis is used. kwargs: Basemap options Options to be passed to Basemap. If projection is not specified here it uses proj='merc' (mercator). """ # make basemap self._make_basemap(resolution, area_thresh, auto_range, min_lon, max_lon, min_lat, max_lat, ax, **kwargs) # parse the parameters if lat_lines is None: lat_lines = np.arange(30, 46, 1) if lon_lines is None: lon_lines = np.arange(-110, -75, 1) self.basemap.drawcoastlines(linewidth=1.25) self.basemap.drawstates() self.basemap.drawparallels(lat_lines, labels=[True, False, False, False]) self.basemap.drawmeridians(lon_lines, labels=[False, False, False, True]) def plot_grid(self, field, level=0, vmin=None, vmax=None, cmap='jet', mask_outside=False, title=None, title_flag=True, axislabels=(None, None), axislabels_flag=False, colorbar_flag=True, colorbar_label=None, colorbar_orient='vertical', edges=True, ax=None, fig=None): """ Plot the grid onto the current basemap. Parameters ---------- field : str Field to be plotted. level : int Index corresponding to the height level to be plotted. vmin, vmax : float Lower and upper range for the colormesh. If either parameter is None, a value will be determined from the field attributes (if available) or the default values of -8, 64 will be used. cmap : str Matplotlib colormap name or colormap object. mask_outside : bool True to mask data outside of vmin, vmax. False performs no masking. title : str Title to label plot with, None to use default title generated from the field and level parameters. Parameter is ignored if title_flag is False. title_flag : bool True to add a title to the plot, False does not add a title. axislabels : (str, str) 2-tuple of x-axis, y-axis labels. None for either label will use the default axis label. Parameter is ignored if axislabels_flag is False. axislabel_flag : bool True to add label the axes, False does not label the axes. colorbar_flag : bool True to add a colorbar with label to the axis. False leaves off the colorbar. colorbar_label : str Colorbar label, None will use a default label generated from the field information. colorbar_orient : 'vertical' or 'horizontal' Colorbar orientation. edges : bool True will interpolate and extrapolate the gate edges from the range, azimuth and elevations in the radar, treating these as specifying the center of each gate. False treats these coordinates themselved as the gate edges, resulting in a plot in which the last gate in each ray and the entire last ray are not not plotted. ax : Axis Axis to plot on. None will use the current axis. fig : Figure Figure to add the colorbar to. None will use the current figure. """ # parse parameters ax, fig = common.parse_ax_fig(ax, fig) vmin, vmax = common.parse_vmin_vmax(self.grid, field, vmin, vmax) basemap = self.get_basemap() data = self.grid.fields[field]['data'][level] # mask the data where outside the limits if mask_outside: data = np.ma.masked_invalid(data) data = np.ma.masked_outside(data, vmin, vmax) # plot the grid x_1d = self.grid.axes['x_disp']['data'] y_1d = self.grid.axes['y_disp']['data'] if edges: if len(x_1d) > 1: x_1d = common._interpolate_axes_edges(x_1d) if len(y_1d) > 1: y_1d = common._interpolate_axes_edges(y_1d) x_2d, y_2d = np.meshgrid(x_1d, y_1d) grid_lons, grid_lats = self.proj(x_2d, y_2d, inverse=True) xd, yd = basemap(grid_lons, grid_lats) pm = basemap.pcolormesh(xd, yd, data, vmin=vmin, vmax=vmax, cmap=cmap) self.mappables.append(pm) self.fields.append(field) if title_flag: if title is None: ax.set_title(self.generate_grid_title(field, level)) else: ax.set_title(title) if axislabels_flag: self._label_axes_grid(axislabels, ax) if colorbar_flag: self.plot_colorbar(mappable=pm, label=colorbar_label, orientation=colorbar_orient, field=field, ax=ax, fig=fig) return def plot_crosshairs(self, lon=None, lat=None, line_style='r--', linewidth=2, ax=None): """ Plot crosshairs at a given longitude and latitude. Parameters ---------- lon, lat : float Longitude and latitude (in degrees) where the crosshairs should be placed. If None the center of the grid is used. line_style : str Matplotlib string describing the line style. linewidth : float Width of markers in points. ax : axes or None. Axis to add the crosshairs to, if None the current axis is used. """ # parse the parameters ax = common.parse_ax(ax) lon, lat = common.parse_lon_lat(self.grid, lon, lat) basemap = self.get_basemap() # add crosshairs. x_lon, y_lon = basemap( np.array([lon, lon]), np.array([basemap.latmin, basemap.latmax])) x_lat, y_lat = basemap( np.array([basemap.lonmin, basemap.lonmax]), np.array([lat, lat])) ax.plot(x_lon, y_lon, line_style, linewidth=linewidth) ax.plot(x_lat, y_lat, line_style, linewidth=linewidth) return def plot_latitude_slice(self, field, lon=None, lat=None, vmin=None, vmax=None, cmap='jet', mask_outside=False, title=None, title_flag=True, axislabels=(None, None), axislabels_flag=True, colorbar_flag=True, colorbar_label=None, colorbar_orient='vertical', edges=True, ax=None, fig=None): """ Plot a slice along a given latitude. Parameters ---------- field : str Field to be plotted. lon, lat : float Longitude and latitude (in degrees) specifying the slice. If None the center of the grid is used. vmin, vmax : float Lower and upper range for the colormesh. If either parameter is None, a value will be determined from the field attributes (if available) or the default values of -8, 64 will be used. cmap : str Matplotlib colormap name or colormap object. mask_outside : bool True to mask data outside of vmin, vmax. False performs no masking. title : str Title to label plot with, None to use default title generated from the field and lat,lon parameters. Parameter is ignored if title_flag is False. title_flag : bool True to add a title to the plot, False does not add a title. axislabels : (str, str) 2-tuple of x-axis, y-axis labels. None for either label will use the default axis label. Parameter is ignored if axislabels_flag is False. axislabel_flag : bool True to add label the axes, False does not label the axes. colorbar_flag : bool True to add a colorbar with label to the axis. False leaves off the colorbar. colorbar_label : str Colorbar label, None will use a default label generated from the field information. colorbar_orient : 'vertical' or 'horizontal' Colorbar orientation. edges : bool True will interpolate and extrapolate the gate edges from the range, azimuth and elevations in the radar, treating these as specifying the center of each gate. False treats these coordinates themselved as the gate edges, resulting in a plot in which the last gate in each ray and the entire last ray are not not plotted. ax : Axis Axis to plot on. None will use the current axis. fig : Figure Figure to add the colorbar to. None will use the current figure. """ # parse parameters x_index, y_index = self._find_nearest_grid_indices(lon, lat) self.plot_latitudinal_level( field=field, y_index=y_index, vmin=vmin, vmax=vmax, cmap=cmap, mask_outside=mask_outside, title=title, title_flag=title_flag, axislabels=axislabels, axislabels_flag=axislabels_flag, colorbar_flag=colorbar_flag, colorbar_label=colorbar_label, colorbar_orient=colorbar_orient, edges=edges, ax=ax, fig=fig) def plot_latitudinal_level(self, field, y_index, vmin=None, vmax=None, cmap='jet', mask_outside=False, title=None, title_flag=True, axislabels=(None, None), axislabels_flag=True, colorbar_flag=True, colorbar_label=None, colorbar_orient='vertical', edges=True, ax=None, fig=None): """ Plot a slice along a given latitude. Parameters ---------- field : str Field to be plotted. y_index : float Index of the latitudinal level to plot. vmin, vmax : float Lower and upper range for the colormesh. If either parameter is None, a value will be determined from the field attributes (if available) or the default values of -8, 64 will be used. cmap : str Matplotlib colormap name or colormap object. mask_outside : bool True to mask data outside of vmin, vmax. False performs no masking. title : str Title to label plot with, None to use default title generated from the field and lat,lon parameters. Parameter is ignored if title_flag is False. title_flag : bool True to add a title to the plot, False does not add a title. axislabels : (str, str) 2-tuple of x-axis, y-axis labels. None for either label will use the default axis label. Parameter is ignored if axislabels_flag is False. axislabel_flag : bool True to add label the axes, False does not label the axes. colorbar_flag : bool True to add a colorbar with label to the axis. False leaves off the colorbar. colorbar_label : str Colorbar label, None will use a default label generated from the field information. colorbar_orient : 'vertical' or 'horizontal' Colorbar orientation. edges : bool True will interpolate and extrapolate the gate edges from the range, azimuth and elevations in the radar, treating these as specifying the center of each gate. False treats these coordinates themselved as the gate edges, resulting in a plot in which the last gate in each ray and the entire last ray are not not plotted. ax : Axis Axis to plot on. None will use the current axis. fig : Figure Figure to add the colorbar to. None will use the current figure. """ # parse parameters ax, fig = common.parse_ax_fig(ax, fig) vmin, vmax = common.parse_vmin_vmax(self.grid, field, vmin, vmax) basemap = self.get_basemap() data = self.grid.fields[field]['data'][:, y_index, :] # mask the data where outside the limits if mask_outside: data = np.ma.masked_invalid(data) data = np.ma.masked_outside(data, vmin, vmax) # plot the grid x_1d = self.grid.axes['x_disp']['data'] / 1000. z_1d = self.grid.axes['z_disp']['data'] / 1000. if edges: if len(x_1d) > 1: x_1d = common._interpolate_axes_edges(x_1d) if len(z_1d) > 1: z_1d = common._interpolate_axes_edges(z_1d) xd, yd = np.meshgrid(x_1d, z_1d) pm = ax.pcolormesh(xd, yd, data, vmin=vmin, vmax=vmax, cmap=cmap) self.mappables.append(pm) self.fields.append(field) if title_flag: if title is None: ax.set_title( common.generate_latitudinal_level_title(self.grid, field, y_index)) else: ax.set_title(title) if axislabels_flag: self._label_axes_latitude(axislabels, ax) if colorbar_flag: self.plot_colorbar(mappable=pm, label=colorbar_label, orientation=colorbar_orient, field=field, ax=ax, fig=fig) return def plot_longitude_slice(self, field, lon=None, lat=None, vmin=None, vmax=None, cmap='jet', mask_outside=False, title=None, title_flag=True, axislabels=(None, None), axislabels_flag=True, colorbar_flag=True, colorbar_label=None, colorbar_orient='vertical', edges=True, ax=None, fig=None): """ Plot a slice along a given longitude. Parameters ---------- field : str Field to be plotted. lon, lat : float Longitude and latitude (in degrees) specifying the slice. If None the center of the grid is used. vmin, vmax : float Lower and upper range for the colormesh. If either parameter is None, a value will be determined from the field attributes (if available) or the default values of -8, 64 will be used. cmap : str Matplotlib colormap name or colormap object. mask_outside : bool True to mask data outside of vmin, vmax. False performs no masking. title : str Title to label plot with, None to use default title generated from the field and lat,lon parameters. Parameter is ignored if title_flag is False. title_flag : bool True to add a title to the plot, False does not add a title. axislabels : (str, str) 2-tuple of x-axis, y-axis labels. None for either label will use the default axis label. Parameter is ignored if axislabels_flag is False. axislabel_flag : bool True to add label the axes, False does not label the axes. colorbar_flag : bool True to add a colorbar with label to the axis. False leaves off the colorbar. colorbar_label : str Colorbar label, None will use a default label generated from the field information. colorbar_orient : 'vertical' or 'horizontal' Colorbar orientation. edges : bool True will interpolate and extrapolate the gate edges from the range, azimuth and elevations in the radar, treating these as specifying the center of each gate. False treats these coordinates themselved as the gate edges, resulting in a plot in which the last gate in each ray and the entire last ray are not not plotted. ax : Axis Axis to plot on. None will use the current axis. fig : Figure Figure to add the colorbar to. None will use the current figure. """ x_index, y_index = self._find_nearest_grid_indices(lon, lat) self.plot_longitudinal_level( field=field, x_index=x_index, vmin=vmin, vmax=vmax, cmap=cmap, mask_outside=mask_outside, title=title, title_flag=title_flag, axislabels=axislabels, axislabels_flag=axislabels_flag, colorbar_flag=colorbar_flag, colorbar_label=colorbar_label, colorbar_orient=colorbar_orient, edges=edges, ax=ax, fig=fig) def plot_longitudinal_level(self, field, x_index, vmin=None, vmax=None, cmap='jet', mask_outside=False, title=None, title_flag=True, axislabels=(None, None), axislabels_flag=True, colorbar_flag=True, colorbar_label=None, colorbar_orient='vertical', edges=True, ax=None, fig=None): """ Plot a slice along a given longitude. Parameters ---------- field : str Field to be plotted. x_index : float Index of the longitudinal level to plot. vmin, vmax : float Lower and upper range for the colormesh. If either parameter is None, a value will be determined from the field attributes (if available) or the default values of -8, 64 will be used. cmap : str Matplotlib colormap name or colormap object. mask_outside : bool True to mask data outside of vmin, vmax. False performs no masking. title : str Title to label plot with, None to use default title generated from the field and lat,lon parameters. Parameter is ignored if title_flag is False. title_flag : bool True to add a title to the plot, False does not add a title. axislabels : (str, str) 2-tuple of x-axis, y-axis labels. None for either label will use the default axis label. Parameter is ignored if axislabels_flag is False. axislabel_flag : bool True to add label the axes, False does not label the axes. colorbar_flag : bool True to add a colorbar with label to the axis. False leaves off the colorbar. colorbar_label : str Colorbar label, None will use a default label generated from the field information. colorbar_orient : 'vertical' or 'horizontal' Colorbar orientation. edges : bool True will interpolate and extrapolate the gate edges from the range, azimuth and elevations in the radar, treating these as specifying the center of each gate. False treats these coordinates themselved as the gate edges, resulting in a plot in which the last gate in each ray and the entire last ray are not not plotted. ax : Axis Axis to plot on. None will use the current axis. fig : Figure Figure to add the colorbar to. None will use the current figure. """ # parse parameters ax, fig = common.parse_ax_fig(ax, fig) vmin, vmax = common.parse_vmin_vmax(self.grid, field, vmin, vmax) basemap = self.get_basemap() data = self.grid.fields[field]['data'][:, :, x_index] # mask the data where outside the limits if mask_outside: data = np.ma.masked_invalid(data) data = np.ma.masked_outside(data, vmin, vmax) # plot the grid y_1d = self.grid.axes['y_disp']['data'] / 1000. z_1d = self.grid.axes['z_disp']['data'] / 1000. if edges: if len(y_1d) > 1: y_1d = common._interpolate_axes_edges(y_1d) if len(z_1d) > 1: z_1d = common._interpolate_axes_edges(z_1d) xd, yd = np.meshgrid(y_1d, z_1d) pm = ax.pcolormesh(xd, yd, data, vmin=vmin, vmax=vmax, cmap=cmap) self.mappables.append(pm) self.fields.append(field) if title_flag: if title is None: ax.set_title( common.generate_longitudinal_level_title(self.grid, field, x_index)) else: ax.set_title(title) if axislabels_flag: self._label_axes_longitude(axislabels, ax) if colorbar_flag: self.plot_colorbar(mappable=pm, label=colorbar_label, orientation=colorbar_orient, field=field, ax=ax, fig=fig) return def plot_colorbar(self, mappable=None, orientation='horizontal', label=None, cax=None, ax=None, fig=None, field=None): """ Plot a colorbar. Parameters ---------- mappable : Image, ContourSet, etc. Image, ContourSet, etc to which the colorbar applied. If None the last mappable object will be used. field : str Field to label colorbar with. label : str Colorbar label. None will use a default value from the last field plotted. orient : str Colorbar orientation, either 'vertical' [default] or 'horizontal'. cax : Axis Axis onto which the colorbar will be drawn. None is also valid. ax : Axes Axis onto which the colorbar will be drawn. None is also valid. fig : Figure Figure to place colorbar on. None will use the current figure. """ if fig is None: fig = plt.gcf() if mappable is None: if len(self.mappables) == 0: raise ValueError('mappable must be specified.') else: mappable = self.mappables[-1] if label is None: if len(self.fields) == 0: raise ValueError('field must be specified.') field = self.grid.fields[self.fields[-1]] if 'long_name' in field and 'units' in field: label = field['long_name'] + '(' + field['units'] + ')' else: label = '' # plot the colorbar and set the label. cb = fig.colorbar(mappable, orientation=orientation, ax=ax, cax=cax) cb.set_label(label) return def _make_basemap(self, resolution='l', area_thresh=10000, auto_range=True, min_lon=-92, max_lon=-86, min_lat=40, max_lat=44, ax=None, **kwargs): """ Make a basemap. Parameters ---------- auto_range : bool True to determine map ranges from the grid_lats and grid_lons attribute. False will use the min_lon, max_lon, min_lat, and max_lat parameters for the map range. min_lat, max_lat, min_lon, max_lon : float Latitude and longitude ranges for the map projection region in degrees. These parameter are not used if auto_range is True. resolution : 'c', 'l', 'i', 'h', or 'f'. Resolution of boundary database to use. See Basemap documentation for details. area_thresh : int Basemap area_thresh parameter. See Basemap documentation. ax : axes or None. Axis to add the basemap to, if None the current axis is used. kwargs: Basemap options Options to be passed to Basemap. If projection is not specified here it uses proj='merc' (mercator). """ # parse the parameters ax = common.parse_ax(ax) # determine map region if auto_range: max_lat = self.grid_lats.max() max_lon = self.grid_lons.max() min_lat = self.grid_lats.min() min_lon = self.grid_lons.min() if self.debug: print("Maximum latitude: ", max_lat) print("Maximum longitude: ", max_lon) print("Minimum latitude: ", min_lat) print("Minimum longitute: ", min_lon) # determine plot center lat_0 = self.grid.axes['lat']['data'][0] lon_0 = self.grid.axes['lon']['data'][0] default_args = { 'lat_0': lat_0, 'lon_0': lon_0, 'lat_ts':lat_0, 'projection': 'merc', 'area_thresh': area_thresh, 'resolution': resolution, 'ax': ax} using_corners = (None not in [min_lon, min_lat, max_lon, max_lat]) if using_corners: default_args['llcrnrlon'] = min_lon default_args['llcrnrlat'] = min_lat default_args['urcrnrlon'] = max_lon default_args['urcrnrlat'] = max_lat else: # determine width and height of the plot x = self.grid.axes['x_disp']['data'][0] y = self.grid.axes['y_disp']['data'][0] default_args['width'] = (x.max() - x.min()) default_args['height'] = (y.max() - y.min()) for key in default_args.keys(): if key not in kwargs: kwargs[key] = default_args[key] # plot the basemap self.basemap = Basemap(**kwargs) return self.basemap def _find_nearest_grid_indices(self, lon, lat): """ Find the nearest x, y grid indices for a given latitude and longitude. """ lon, lat = common.parse_lon_lat(self.grid, lon, lat) x_cut, y_cut = self.proj(lon, lat) if self.debug: print("x_cut: ", x_cut) print("y_cut: ", y_cut) x_index = np.abs(self.grid.axes['x_disp']['data'] - x_cut).argmin() y_index = np.abs(self.grid.axes['y_disp']['data'] - y_cut).argmin() if self.debug: print("x_index", x_index) print("y_index", y_index) return x_index, y_index ########################## # Plot adjusting methods # ########################## def _get_label_x(self): """ Get default label for x units. """ return ('East West distance from ' + self.origin + ' (km)') def _get_label_y(self): """ Get default label for y units. """ return ('North South distance from ' + self.origin + ' (km)') def _get_label_z(self): """ Get default label for z units. """ return ('Distance Above ' + self.origin + ' (km)') def _label_axes_grid(self, axis_labels, ax): """ Set the x and y axis labels for a grid plot. """ x_label, y_label = axis_labels if x_label is None: x_label = self._get_label_x() if y_label is None: y_label = self._get_label_y() ax.set_xlabel(x_label) ax.set_ylabel(y_label) def _label_axes_longitude(self, axis_labels, ax): """ Set the x and y axis labels for a longitude slice. """ x_label, y_label = axis_labels if x_label is None: x_label = self._get_label_y() if y_label is None: y_label = self._get_label_z() ax.set_xlabel(x_label) ax.set_ylabel(y_label) def _label_axes_latitude(self, axis_labels, ax): """ Set the x and y axis labels for a latitude slice. """ x_label, y_label = axis_labels if x_label is None: x_label = self._get_label_x() if y_label is None: y_label = self._get_label_z() ax.set_xlabel(x_label) ax.set_ylabel(y_label) ########################## # name generator methods # ########################## def generate_filename(self, field, level, ext='png'): """ Generate a filename for a grid plot. Generated filename has form: grid_name_field_level_time.ext Parameters ---------- field : str Field plotted. level : int Level plotted. ext : str Filename extension. Returns ------- filename : str Filename suitable for saving a plot. """ return common.generate_grid_filename(self.grid, field, level, ext) def generate_grid_title(self, field, level): """ Generate a title for a plot. Parameters ---------- field : str Field plotted. level : int Verical level plotted. Returns ------- title : str Plot title. """ return common.generate_grid_title(self.grid, field, level) def generate_longitudinal_level_title(self, field, level): """ Generate a title for a plot. Parameters ---------- field : str Field plotted. level : int Longitudinal level plotted. Returns ------- title : str Plot title. """ return common.generate_longitudinal_level_title(self.grid, field, level) def generate_latitudinal_level_title(self, field, level): """ Generate a title for a plot. Parameters ---------- field : str Field plotted. level : int Longitudinal level plotted. Returns ------- title : str Plot title. """ return common.generate_latitudinal_level_title(self.grid, field, level) ########################## # get methods # ########################## def get_basemap(self): """ get basemap of the plot """ if self.basemap is None: self._make_basemap() return self.basemap

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py

Python

packages/vaex-ml/vaex/ml/_version.py

ankishb/vaex

1af7541c64e10261f77bd9f3e6c36cc875fe25f1

[ "MIT" ]

1

2019-12-23T12:02:13.000Z

packages/vaex-ml/vaex/ml/_version.py

ankishb/vaex

1af7541c64e10261f77bd9f3e6c36cc875fe25f1

[ "MIT" ]

null

packages/vaex-ml/vaex/ml/_version.py

ankishb/vaex

1af7541c64e10261f77bd9f3e6c36cc875fe25f1

[ "MIT" ]

null

__version__ = '0.7.1-dev' __version_tuple__ = (0, 7, 1, "dev")

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01c44707fb0757897aaa55972cebb36a015d08f7

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py

Python

.idea/VirtualEnvironment/Lib/site-packages/hstest/stage/__init__.py

Vladpetr/NewsPortal

cd4127fbc09d9c8f5e65c8ae699856c6d380a320

[ "Apache-2.0" ]

null

.idea/VirtualEnvironment/Lib/site-packages/hstest/stage/__init__.py

Vladpetr/NewsPortal

cd4127fbc09d9c8f5e65c8ae699856c6d380a320

[ "Apache-2.0" ]

5

2021-04-08T22:02:15.000Z

2022-02-10T14:53:45.000Z

.idea/VirtualEnvironment/Lib/site-packages/hstest/stage/__init__.py

Vladpetr/NewsPortal

cd4127fbc09d9c8f5e65c8ae699856c6d380a320

[ "Apache-2.0" ]

null

__all__ = [ 'StageTest', 'DjangoTest', 'FlaskTest', ] from hstest.stage.django_test import DjangoTest from hstest.stage.flask_test import FlaskTest from hstest.stage.stage_test import StageTest

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01e2732ea0a119a0f5f40154931cfc91398fccaf

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py

Python

flashCardApiImpl/admin.py

Ara225/FlashCards-Api-Django

1ddfdfc828afe35a6cc0d54deae3be4dcea079bf

[ "MIT" ]

1

2020-12-08T01:40:26.000Z

flashCardApiImpl/admin.py

Ara225/FlashCards-Api-Django

1ddfdfc828afe35a6cc0d54deae3be4dcea079bf

[ "MIT" ]

null

flashCardApiImpl/admin.py

Ara225/FlashCards-Api-Django

1ddfdfc828afe35a6cc0d54deae3be4dcea079bf

[ "MIT" ]

null

from django.contrib import admin from .models import FlashCard admin.site.register(FlashCard)

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01e54358b562af98b0383a71e69cc1512224b3a8

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py

Python

enthought/permissions/default/user_storage.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

3

2016-12-09T06:05:18.000Z

2018-03-01T13:00:29.000Z

enthought/permissions/default/user_storage.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

1

2020-12-02T00:51:32.000Z

2020-12-02T08:48:55.000Z

enthought/permissions/default/user_storage.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

null

# proxy module from __future__ import absolute_import from apptools.permissions.default.user_storage import *

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5

bf1ce55205cceecf82f8bc2698869b5ee59d4a07

15,866

py

Python

test/commands/test_upload.py

dafnifacility/cli

11457820b288bda0178d6153789e0902ad871213

[ "MIT" ]

2

2021-03-23T09:39:43.000Z

2021-05-04T16:33:14.000Z

test/commands/test_upload.py

dafnifacility/cli

11457820b288bda0178d6153789e0902ad871213

[ "MIT" ]

36

2021-03-03T10:29:58.000Z

2021-03-30T12:29:53.000Z

test/commands/test_upload.py

dafnifacility/cli

11457820b288bda0178d6153789e0902ad871213

[ "MIT" ]

1

2021-03-03T09:41:18.000Z

import pytest from mock import patch, call from click.testing import CliRunner from requests import HTTPError, Response import json from dafni_cli.commands import upload from test.fixtures.jwt_fixtures import processed_jwt_fixture from test.fixtures.model_fixtures import get_model_upload_urls_fixture from test.fixtures.dataset_fixtures import upload_metadata_fixture class TestUpload: """test class to test the upload() command functionality""" @patch("dafni_cli.commands.upload.model_version_ingest") @patch("dafni_cli.commands.upload.upload_file_to_minio") @patch("dafni_cli.commands.upload.get_model_upload_urls") @patch("dafni_cli.commands.upload.validate_model_definition") @patch("dafni_cli.commands.upload.argument_confirmation") @patch("dafni_cli.commands.upload.check_for_jwt_file") class TestInit: """Test class to test the get() group processing of the JWT """ @pytest.mark.parametrize("version_message_flag", ["--version-message", "-m"]) def test_jwt_retrieved_and_set_on_context( self, mock_jwt, mock_confirm, mock_validate, mock_urls, mock_minio, mock_ingest, version_message_flag, processed_jwt_fixture, get_model_upload_urls_fixture, ): # SETUP mock_jwt.return_value = processed_jwt_fixture, False mock_validate.return_value = (True, "") mock_urls.return_value = get_model_upload_urls_fixture runner = CliRunner() ctx = {} # CALL with runner.isolated_filesystem(): with open("test_definition.yaml", "w") as f: f.write("test definition file") with open("test_image.txt", "w") as f: f.write("test image file") result = runner.invoke( upload.upload, [ "model", "test_definition.yaml", "test_image.txt", version_message_flag, "version message", ], obj=ctx, ) # ASSERT mock_jwt.assert_called_once() assert ctx["jwt"] == processed_jwt_fixture["jwt"] assert result.exit_code == 0 @patch("dafni_cli.commands.upload.check_for_jwt_file") @patch("dafni_cli.commands.upload.argument_confirmation") @patch("dafni_cli.commands.upload.click") @patch("dafni_cli.commands.upload.validate_model_definition") class TestModel: """test class to test the upload.model() command functionality""" @pytest.mark.parametrize("version_message_flag", ["--version-message", "-m"]) def test_method_aborted_and_500_error_printed_if_500_response_from_validation_method( self, mock_validate, mock_click, mock_confirm, mock_jwt, version_message_flag, processed_jwt_fixture, ): # SETUP mock_jwt.return_value = processed_jwt_fixture, False error_response = Response() error_response.status_code = 500 mock_validate.side_effect = HTTPError(response=error_response) runner = CliRunner() # CALL with runner.isolated_filesystem(): with open("test_definition.yaml", "w") as f: f.write("test definition file") with open("test_image.txt", "w") as f: f.write("test image file") result = runner.invoke( upload.upload, [ "model", "test_definition.yaml", "test_image.txt", version_message_flag, "version message", ], ) # ASSERT assert result.exit_code == 1 assert mock_click.echo.call_args_list == [ call("Validating model definition"), call( "Error validating the model definition. " "See https://docs.secure.dafni.rl.ac.uk/docs/how-to/models/how-to-write-a-model-definition-file/" " for guidance" ), ] @pytest.mark.parametrize("version_message_flag", ["--version-message", "-m"]) def test_method_aborted_and_standard_error_printed_if_non_200_or_500_response_from_validation_method( self, mock_validate, mock_click, mock_confirm, mock_jwt, version_message_flag, processed_jwt_fixture, ): # SETUP mock_jwt.return_value = processed_jwt_fixture, False error_response = Response() error_response.status_code = 400 error = HTTPError("error message", response=error_response) mock_validate.side_effect = error runner = CliRunner() # CALL with runner.isolated_filesystem(): with open("test_definition.yaml", "w") as f: f.write("test definition file") with open("test_image.txt", "w") as f: f.write("test image file") result = runner.invoke( upload.upload, [ "model", "test_definition.yaml", "test_image.txt", version_message_flag, "version message", ], ) # ASSERT assert result.exit_code == 1 assert mock_click.echo.call_args_list == [ call("Validating model definition"), call(error), ] @pytest.mark.parametrize("version_message_flag", ["--version-message", "-m"]) def test_method_aborted_and_error_printed_if_model_definition_is_not_valid( self, mock_validate, mock_click, mock_confirm, mock_jwt, version_message_flag, processed_jwt_fixture, ): # SETUP mock_jwt.return_value = processed_jwt_fixture, False mock_validate.return_value = (False, "Test validation error") runner = CliRunner() # CALL with runner.isolated_filesystem(): with open("test_definition.yaml", "w") as f: f.write("test definition file") with open("test_image.txt", "w") as f: f.write("test image file") result = runner.invoke( upload.upload, [ "model", "test_definition.yaml", "test_image.txt", version_message_flag, "version message", ], ) # ASSERT assert result.exit_code == 1 mock_confirm.assert_called_once_with( ["Model definition file path", "Image file path", "Version message"], ["test_definition.yaml", "test_image.txt", "version message"], "Confirm model upload?", ["No parent model: new model to be created"], ) mock_validate.assert_called_once_with( processed_jwt_fixture["jwt"], "test_definition.yaml" ) assert mock_click.echo.call_args_list == [ call("Validating model definition"), call( "Definition validation failed with the following errors: Test validation error" ), ] @patch("dafni_cli.commands.upload.get_model_upload_urls") @patch("dafni_cli.commands.upload.upload_file_to_minio") @patch("dafni_cli.commands.upload.model_version_ingest") @pytest.mark.parametrize( "upload_options, expected_argument, confirm_arg_1, confirm_arg_2, confirm_arg_3", [ ( [ "model", "test_definition.yaml", "test_image.txt", "--version-message", "version message", ], None, [ "Model definition file path", "Image file path", "Version message", ], ["test_definition.yaml", "test_image.txt", "version message"], ["No parent model: new model to be created"], ), ( [ "model", "test_definition.yaml", "test_image.txt", "--version-message", "version message", "--parent-model", "parent-model-id", ], "parent-model-id", [ "Model definition file path", "Image file path", "Version message", "Parent model ID", ], [ "test_definition.yaml", "test_image.txt", "version message", "parent-model-id", ], None, ), ], ids=["Case 1 - without parent model", "Case 2 - with parent model"], ) def test_models_api_functions_called_with_expected_arguments( self, mock_ingest, mock_minio, mock_urls, mock_validate, mock_click, mock_confirm, mock_jwt, upload_options, expected_argument, confirm_arg_1, confirm_arg_2, confirm_arg_3, processed_jwt_fixture, get_model_upload_urls_fixture, ): # SETUP mock_jwt.return_value = processed_jwt_fixture, False mock_validate.return_value = (True, "") mock_urls.return_value = get_model_upload_urls_fixture upload_id, urls_dict = get_model_upload_urls_fixture runner = CliRunner() # CALL with runner.isolated_filesystem(): with open("test_definition.yaml", "w") as f: f.write("test definition file") with open("test_image.txt", "w") as f: f.write("test image file") result = runner.invoke(upload.upload, upload_options) # ASSERT assert result.exit_code == 0 mock_confirm.assert_called_once_with( confirm_arg_1, confirm_arg_2, "Confirm model upload?", confirm_arg_3 ) mock_validate.assert_called_once_with( processed_jwt_fixture["jwt"], "test_definition.yaml" ) mock_urls.assert_called_once_with(processed_jwt_fixture["jwt"]) assert mock_minio.call_args_list == [ call( processed_jwt_fixture["jwt"], urls_dict["definition"], "test_definition.yaml", ), call( processed_jwt_fixture["jwt"], urls_dict["image"], "test_image.txt" ), ] mock_ingest.assert_called_once_with( processed_jwt_fixture["jwt"], upload_id, "version message", expected_argument, ) assert mock_click.echo.call_args_list == [ call("Validating model definition"), call("Getting urls"), call("Uploading model definition and image"), call("Ingesting model"), call("Model upload complete"), ] @patch("dafni_cli.commands.upload.upload_new_dataset_files") @patch("dafni_cli.commands.upload.argument_confirmation") @patch("dafni_cli.commands.upload.check_for_jwt_file") class TestDataset: """Test class to test the upload.dataset command""" @pytest.mark.parametrize( "files", [["file_1.txt"], ["file_1.txt", "file_2.txt", "file_3.txt"]] ) def test_upload_does_not_take_place_if_confirmation_cancelled( self, mock_jwt, mock_confirm, mock_upload, files, processed_jwt_fixture, upload_metadata_fixture, ): # SETUP mock_jwt.return_value = processed_jwt_fixture, True mock_confirm.side_effect = SystemExit(1) # setup data for call definition = "meta_data.json" runner = CliRunner() # setup expected call values argument_names = ["Dataset definition file path"] + [ "Dataset file path" for file_path in files ] arguments = [definition, *files] # CALL with runner.isolated_filesystem(): with open(definition, "w") as f: f.write(json.dumps(upload_metadata_fixture)) for file_name in files: with open(file_name, "w") as f: f.write(f"{file_name} content") result = runner.invoke(upload.upload, ["dataset", definition, *files]) # ASSERT assert result.exit_code == 1 mock_upload.assert_not_called() mock_confirm.assert_called_once_with( argument_names, arguments, "Confirm Dataset upload?" ) @pytest.mark.parametrize( "files", [("file_1.txt",), ("file_1.txt", "file_2.txt", "file_3.txt")] ) def test_upload_take_place_if_details_confirmed( self, mock_jwt, mock_confirm, mock_upload, files, processed_jwt_fixture, upload_metadata_fixture, ): # SETUP mock_jwt.return_value = processed_jwt_fixture, True mock_confirm.return_value = None # setup data for call definition = "meta_data.json" runner = CliRunner() # setup expected call values argument_names = ["Dataset definition file path"] + [ "Dataset file path" for file_path in files ] arguments = [definition, *files] # CALL with runner.isolated_filesystem(): with open(definition, "w") as f: f.write(json.dumps(upload_metadata_fixture)) for file_name in files: with open(file_name, "w") as f: f.write(f"{file_name} content") result = runner.invoke(upload.upload, ["dataset", definition, *files]) # ASSERT assert result.exit_code == 0 mock_upload.assert_called_once_with( processed_jwt_fixture["jwt"], definition, files ) mock_confirm.assert_called_once_with( argument_names, arguments, "Confirm Dataset upload?" )

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0

5

170d299af3ba6e1ec66533d43d1f735996eaa48c

779

py

Python

libconda/run_test.py

nikicc/anaconda-recipes

9c611a5854bf41bbc5e7ed9853dc71c0851a62ef

[ "BSD-3-Clause" ]

130

2015-07-28T03:41:21.000Z

2022-03-16T03:07:41.000Z

libconda/run_test.py

nikicc/anaconda-recipes

9c611a5854bf41bbc5e7ed9853dc71c0851a62ef

[ "BSD-3-Clause" ]

119

2015-08-01T00:54:06.000Z

2021-01-05T13:00:46.000Z

libconda/run_test.py

nikicc/anaconda-recipes

9c611a5854bf41bbc5e7ed9853dc71c0851a62ef

[ "BSD-3-Clause" ]

72

2015-07-29T02:35:56.000Z

2022-02-26T14:31:15.000Z

import libconda # used in constructor from libconda.fetch import fetch_index, fetch_pkg from libconda.resolve import Resolve, NoPackagesFound from libconda.config import subdir # used in cas-mirror from libconda.config import normalize_urls from libconda.fetch import fetch_pkg, fetch_index from libconda.fetch import download # used in cas-installer from libconda.utils import md5_file from libconda.fetch import fetch_index, fetch_pkg from libconda.resolve import Resolve from libconda.config import subdir # internal Anaconda build system from libconda.fetch import fetch_index, fetch_pkg from libconda.resolve import Resolve, MatchSpec from libconda.resolve import Package print('libconda.__version__: %s' % libconda.__version__) assert libconda.__version__ == '4.0.3'

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29.961538

0.902616

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null

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0

1

0

1

0

5

17352f0572956891e9ef36dfb8033a47acffb23a

59

py

Python

dynamic_import/imported/__main__.py

seflorentino/python-scratches

0bf0b1b00da6dd810433b7b0e9159ea95fa9b1c0

[ "MIT" ]

null

dynamic_import/imported/__main__.py

seflorentino/python-scratches

0bf0b1b00da6dd810433b7b0e9159ea95fa9b1c0

[ "MIT" ]

null

dynamic_import/imported/__main__.py

seflorentino/python-scratches

0bf0b1b00da6dd810433b7b0e9159ea95fa9b1c0

[ "MIT" ]

null

from dynamic_import.imported.a_lib import run_me run_me()

14.75

48

0.830508

11

59

4.090909

0.727273

0.222222

0

0.101695

59

3

49

19.666667

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1

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0

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1

0

1

0

null

0

1

0

1

0

5

175157f27dc3cb6853c6130c962b6b8809a95c19

282

py

Python

bot/chk/has.py

VoxelPrismatic/prizai

632a5dfed23807d78064d292d474ac4cc8988b12

[ "Unlicense" ]

2

2019-11-08T21:34:44.000Z

2020-07-05T15:31:19.000Z

bot/chk/has.py

VoxelPrismatic/prizai

632a5dfed23807d78064d292d474ac4cc8988b12

[ "Unlicense" ]

null

bot/chk/has.py

VoxelPrismatic/prizai

632a5dfed23807d78064d292d474ac4cc8988b12

[ "Unlicense" ]

2

2020-07-05T15:39:51.000Z

2020-07-05T16:15:47.000Z

def has_attachment(ctx): return bool(len(ctx.message.attachments)) def has_embed(ctx): return bool(len(ctx.message.embeds)) def file_type(ctx, filetype, attnum = 0): if not has_attachment(ctx): return False return ctx.message.attachments[attnum].endswith(filetype)

31.333333

61

0.744681

41

282

5.02439

0.487805

0.131068

0.15534

0.213592

0.252427

0

0.004098

0.134752

282

9

61

31.333333

0.840164

0

1

0.428571

false

0

0.285714

0.857143

0

null

0

1

0

1

0

null

0

1

0

1

0

5

175584daed04b8f0e95341d66e63f82f08fc34c7

64

py

Python

glue_genomics_viewers/network/qt/__init__.py

gluesolutions/glue-genomics-viewers

c134d513aa1435728370c237dba624c5b9d42428

[ "BSD-3-Clause" ]

null

glue_genomics_viewers/network/qt/__init__.py

gluesolutions/glue-genomics-viewers

c134d513aa1435728370c237dba624c5b9d42428

[ "BSD-3-Clause" ]

17

2021-07-22T14:25:01.000Z

2021-09-17T16:22:18.000Z

glue_genomics_viewers/network/qt/__init__.py

gluesolutions/glue-genomics-viewers

c134d513aa1435728370c237dba624c5b9d42428

[ "BSD-3-Clause" ]

1

2021-08-15T06:33:09.000Z

from .layer_style_editor import * from .options_widget import *

21.333333

33

0.8125

9

64

5.444444

0.777778

0

0.125

64

2

34

32

0.875

0

1

0

true

0

1

0

1

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1

0

null

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1

0

null

0

1

0

1

0

1

0

5

bd64196beaf5f3568b52fd63e28299734b0aff5f

144

py

Python

NekoGram/__init__.py

lyteloli/NekoGram

f077471000b40a74e0eb4e98dfb570b5e34d23ab

[ "MIT" ]

8

2020-08-21T07:43:52.000Z

2022-01-27T06:48:01.000Z

NekoGram/__init__.py

lyteloli/NekoGram

f077471000b40a74e0eb4e98dfb570b5e34d23ab

[ "MIT" ]

null

NekoGram/__init__.py

lyteloli/NekoGram

f077471000b40a74e0eb4e98dfb570b5e34d23ab

[ "MIT" ]

1

2022-01-27T06:48:02.000Z

from aiogram import Bot, Dispatcher, types from .neko import Neko from .neko_router import NekoRouter from .build_response import BuildResponse

28.8

42

0.840278

20

144

5.95

0.6

0.134454

0

0.125

144

4

43

36

0.944444

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1

0

true

0

1

0

1

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1

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null

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null

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1

0

1

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1

0

5

bd7a5f6e1edca371b601f353008bc0a14e5fbb4d

187

py

Python

src/arcfutil/aff/generator/__init__.py

inuEbisu/arcfutil

4ef575322113db4bb09d5ac2870516fb2b265216

[ "MIT" ]

16

2020-09-26T09:00:49.000Z

2022-03-15T10:45:16.000Z

src/arcfutil/aff/generator/__init__.py

inuEbisu/arcfutil

4ef575322113db4bb09d5ac2870516fb2b265216

[ "MIT" ]

4

2020-08-14T09:14:27.000Z

2022-02-28T02:17:45.000Z

src/arcfutil/aff/generator/__init__.py

feightwywx/arc.py

55caa1c0dee856cf7c18dad2254d22b5e4d7994d

[ "MIT" ]

3

2021-11-25T10:22:14.000Z

2022-02-17T08:19:24.000Z

20.777778

48

0.705882

26

187

5

0.884615

0.184615

0

0.0375

0.144385

187

8

49

23.375

0.775

0.652406

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

bdffc7b949bc2f25e5f1c39ee62aff3ca506123e

74

py

Python

src/galaxies_datasets/scripts/documentation/__init__.py

autogalmorph/galaxies_datasets-1

30cc9eae195fee8d393c543a27c4b5e637a1e1ba

[ "MIT" ]

null

src/galaxies_datasets/scripts/documentation/__init__.py

autogalmorph/galaxies_datasets-1

30cc9eae195fee8d393c543a27c4b5e637a1e1ba

[ "MIT" ]

16

2021-09-21T21:25:05.000Z

2022-03-01T14:10:08.000Z

src/galaxies_datasets/scripts/documentation/__init__.py

autogalmorph/galaxies_datasets-1

30cc9eae195fee8d393c543a27c4b5e637a1e1ba

[ "MIT" ]

2

2022-03-05T14:56:55.000Z

2022-03-09T23:58:56.000Z

"""Documentation scripts.""" from .build_catalog import app # noqa: F401

24.666667

44

0.72973

9

74

5.888889

1

0

0.046875

0.135135

74

2

45

37

0.78125

0.459459

0

1

0

true

0

1

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null

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1

0

null

0

1

0

1

0

1

0

5

da0d8825c52e15ba2c018d1419f033ce836fcdb1

597

py

Python

src/server/MhmServer/models/__init__.py

jbrr/mosquito_heat_map

2cce46a5e26526bd04a83486a62733ab343376ba

[ "MIT" ]

null

src/server/MhmServer/models/__init__.py

jbrr/mosquito_heat_map

2cce46a5e26526bd04a83486a62733ab343376ba

[ "MIT" ]

2

2020-07-07T20:31:40.000Z

2022-02-10T19:17:35.000Z

src/server/MhmServer/models/__init__.py

jbrr/mosquito_heat_map

2cce46a5e26526bd04a83486a62733ab343376ba

[ "MIT" ]

null

from MhmServer.models.laboratory import Laboratory from MhmServer.models.location import Location from MhmServer.models.nlcd_class import NlcdClass from MhmServer.models.sample import Sample from MhmServer.models.scientist import Scientist from MhmServer.models.specimen import Specimen from MhmServer.models.sub_sample import SubSample # # # def Laboratory: # return Laboratory # # # def Location: # return Location # # # def NlcdClass: # return NlcdClass # # # def Sample: # return Sample # # # def Scientist: # return Scientist # # # def Specimen: # return Specimen # #

17.558824

50

0.752094

68

597

6.573529

0.235294

0.203579

0.297539

0

0.170854

597

33

51

18.090909

0.90303

0.346734

0

1

0

true

0

1

0

1

0

null

1

0

null

0

1

0

1

0

1

0

5

da164172d5ad59050043a52b0200d1db365df406

43

py

Python

item_engine/bnf_2/v_0_0_9/__init__.py

GabrielAmare/ItemEngine

10277626c3724ad9ae7b934f53e11e305dc34da5

[ "MIT" ]

null

item_engine/bnf_2/v_0_0_9/__init__.py

GabrielAmare/ItemEngine

10277626c3724ad9ae7b934f53e11e305dc34da5

[ "MIT" ]

null

item_engine/bnf_2/v_0_0_9/__init__.py

GabrielAmare/ItemEngine

10277626c3724ad9ae7b934f53e11e305dc34da5

[ "MIT" ]

null

from .build import * from .engine import *

14.333333

21

0.72093

6

43

5.166667

0.666667

0

0.186047

43

2

22

21.5

0.885714

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

da35203411b114b4f268dba189100452edfa9e55

53

py

Python

evaluation/engine/__init__.py

sinistro14/mindefuse

c7371a81731d0b9a03d3ef18f91c336e4135c17d

[ "MIT" ]

null

evaluation/engine/__init__.py

sinistro14/mindefuse

c7371a81731d0b9a03d3ef18f91c336e4135c17d

[ "MIT" ]

1

2019-08-22T19:51:12.000Z

evaluation/engine/__init__.py

sinistro14/mindefuse

c7371a81731d0b9a03d3ef18f91c336e4135c17d

[ "MIT" ]

null

#! usr/bin/env python3.7 from .engine import Engine

13.25

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0.735849

9

53

4.333333

0.888889

0

0.044444

0.150943

53

3

27

17.666667

0.822222

0.433962

0

1

0

true

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null

0

1

0

1

0

1

0

5

da43318a04eabc44d81ebd5b6b4681d423fa413f

84

py

Python

cone/sql/__init__.py

cone387/cone

07800a67e351add2d1dec43fa85c1850b3b94ba6

[ "MIT" ]

1

2020-01-10T09:03:30.000Z

cone/sql/__init__.py

cone387/spider

07800a67e351add2d1dec43fa85c1850b3b94ba6

[ "MIT" ]

null

cone/sql/__init__.py

cone387/spider

07800a67e351add2d1dec43fa85c1850b3b94ba6

[ "MIT" ]

null

from .sqliter import Sqliter from .mysql import MySql # from .mongodb import Mongodb

28

30

0.809524

12

84

5.666667

0.416667

0

0.142857

84

3

30

28

0.944444

0.333333

0

1

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true

0

1

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1

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null

0

1

0

null

0

1

0

1

0

1

0

5

da4d276607cc7665da52846ea77389172b7437e2

313

py

Python

stardist/geometry/__init__.py

ianbgroves/stardist

6524c27d01c625dabfd75b1443dd46ccb1cb3dcd

[ "BSD-3-Clause" ]

1

2021-02-05T11:59:39.000Z

stardist/geometry/__init__.py

ianbgroves/stardist

6524c27d01c625dabfd75b1443dd46ccb1cb3dcd

[ "BSD-3-Clause" ]

1

2020-06-17T09:06:29.000Z

stardist/geometry/__init__.py

ianbgroves/stardist

6524c27d01c625dabfd75b1443dd46ccb1cb3dcd

[ "BSD-3-Clause" ]

null

from __future__ import absolute_import, print_function # TODO: rethink naming for 2D/3D functions from .geom2d import star_dist, polygons_to_label, relabel_image_stardist, ray_angles, dist_to_coord from .geom3d import star_dist3D, polyhedron_to_label, relabel_image_stardist3D#, dist_to_volume, dist_to_centroid

52.166667

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0.859425

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313

5.234043

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0.073171

0.113821

0.154472

0

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313

6

113

52.166667

0.84507

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0

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null

0

1

0

1

0

1

0

1

0

5

e516dc6bd053cc022c5f7612df858c180b7a8895

99

py

Python

liasis/__init__.py

johnnywell/liasis

42bddabd9025dfa5812693e904ee168121ef39ac

[ "MIT" ]

6

2019-03-25T18:34:12.000Z

2020-03-04T14:20:29.000Z

liasis/__init__.py

johnnywell/liasis

42bddabd9025dfa5812693e904ee168121ef39ac

[ "MIT" ]

5

2019-03-25T20:29:19.000Z

2019-12-24T15:01:37.000Z

liasis/__init__.py

johnnywell/liasis

42bddabd9025dfa5812693e904ee168121ef39ac

[ "MIT" ]

1

2019-07-25T17:58:30.000Z

from .cli import cli from .core import * from .base import * if __name__ == "__main__": cli()

14.142857

26

0.656566

14

99

4.071429

0.571429

0

0.222222

99

7

27

14.142857

0.74026

0

0.08

0

1

0

true

0

0.6

0

0.6

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1

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null

0

1

0

null

0

1

0

1

0

1

0

5

e53821860c0ad9dff2774bb56f46bfe446e4f68c

166

py

Python

augmentation/__init__.py

tunahansalih/VPE

97a47820ebe167120af096c8eb746195790e9e4d

[ "MIT" ]

null

augmentation/__init__.py

tunahansalih/VPE

97a47820ebe167120af096c8eb746195790e9e4d

[ "MIT" ]

null

augmentation/__init__.py

tunahansalih/VPE

97a47820ebe167120af096c8eb746195790e9e4d

[ "MIT" ]

null

from .augmentations import RandomRotate, RandomSized, CenterPadding, RandomSizedCrop, RandomHorizontallyFlip, \ CenterCrop, FreeScale, RandomCrop, Compose, Scale

55.333333

111

0.825301

13

166

10.538462

1

0

0.108434

166

2

112

83

0.925676

0

1

0

true

0

0.5

0

0.5

0

1

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1

null

0

1

0

null

0

1

0

1

0

5

e55f588d8518725ce9442c7cbd1789d5d9c4ca7d

37

py

Python

serv/exceptions.py

nir0s/serv

7af724ed49c0eb766c37c4b5287b043a8cf99e9c

[ "Apache-2.0" ]

13

2015-12-30T08:15:32.000Z

2022-02-09T21:10:32.000Z

serv/exceptions.py

nir0s/serv

7af724ed49c0eb766c37c4b5287b043a8cf99e9c

[ "Apache-2.0" ]

9

2016-04-05T11:19:08.000Z

2016-11-23T09:35:02.000Z

serv/exceptions.py

nir0s/serv

7af724ed49c0eb766c37c4b5287b043a8cf99e9c

[ "Apache-2.0" ]

3

2017-01-15T22:55:07.000Z

2020-10-20T11:51:42.000Z

class ServError(Exception): pass

12.333333

27

0.72973

4

37

6.75

1

0

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37

2

28

18.5

0.9

0

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true

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