body_hash stringlengths 64 64 | body stringlengths 23 109k | docstring stringlengths 1 57k | path stringlengths 4 198 | name stringlengths 1 115 | repository_name stringlengths 7 111 | repository_stars float64 0 191k | lang stringclasses 1
value | body_without_docstring stringlengths 14 108k | unified stringlengths 45 133k |
|---|---|---|---|---|---|---|---|---|---|
4b304a7d5ca49dbfcdbe22c4113743bee1d652ae9d560bca1ac74abfa83be3c4 | @register_bprop(primops.J)
def bprop_J(x, dz):
'Backpropagator for primitive `J`.'
return (Jinv(dz),) | Backpropagator for primitive `J`. | myia/prim/grad_implementations.py | bprop_J | bartvm/myia | 0 | python | @register_bprop(primops.J)
def bprop_J(x, dz):
return (Jinv(dz),) | @register_bprop(primops.J)
def bprop_J(x, dz):
return (Jinv(dz),)<|docstring|>Backpropagator for primitive `J`.<|endoftext|> |
021e4f4f1e4217ffade258e9293758df4183e47536a1b882ec6ec9f6c6aafa66 | @register_bprop(primops.Jinv)
def bprop_Jinv(x, dz):
'Backpropagator for primitive `Jinv`.'
return (J(dz),) | Backpropagator for primitive `Jinv`. | myia/prim/grad_implementations.py | bprop_Jinv | bartvm/myia | 0 | python | @register_bprop(primops.Jinv)
def bprop_Jinv(x, dz):
return (J(dz),) | @register_bprop(primops.Jinv)
def bprop_Jinv(x, dz):
return (J(dz),)<|docstring|>Backpropagator for primitive `Jinv`.<|endoftext|> |
ba20a57e97ba0bfe5f516cfb4d5b2ee2cae5e37ca9eded06dc8f03bd3ebfb4d9 | @register_bprop(primops.zeros_like)
def bprop_zeros_like(x, dz):
'Backpropagator for primitive `zeros_like`.'
return (zeros_like(x),) | Backpropagator for primitive `zeros_like`. | myia/prim/grad_implementations.py | bprop_zeros_like | bartvm/myia | 0 | python | @register_bprop(primops.zeros_like)
def bprop_zeros_like(x, dz):
return (zeros_like(x),) | @register_bprop(primops.zeros_like)
def bprop_zeros_like(x, dz):
return (zeros_like(x),)<|docstring|>Backpropagator for primitive `zeros_like`.<|endoftext|> |
8acc855af5308533397f3072e77f116a2c35db385208403c1a1f5ebc587c49a9 | @register_augm(primops.if_)
def __fprop__if_(c, tb, fb):
'Backpropagator for primitive `if`.'
if Jinv(c):
res = tb()
else:
res = fb()
(rval, branch_bprop) = res
def __bprop__if_(dout):
zc = zeros_like(c)
value = branch_bprop(dout)[0]
if Jinv(c):
r... | Backpropagator for primitive `if`. | myia/prim/grad_implementations.py | __fprop__if_ | bartvm/myia | 0 | python | @register_augm(primops.if_)
def __fprop__if_(c, tb, fb):
if Jinv(c):
res = tb()
else:
res = fb()
(rval, branch_bprop) = res
def __bprop__if_(dout):
zc = zeros_like(c)
value = branch_bprop(dout)[0]
if Jinv(c):
return ((), zc, value, zeros_like(Jin... | @register_augm(primops.if_)
def __fprop__if_(c, tb, fb):
if Jinv(c):
res = tb()
else:
res = fb()
(rval, branch_bprop) = res
def __bprop__if_(dout):
zc = zeros_like(c)
value = branch_bprop(dout)[0]
if Jinv(c):
return ((), zc, value, zeros_like(Jin... |
a44bebef150e1c2f0cf7dac653ea9147634515ed7498d880c9864211b7c8e75c | def _get_val_list() -> list:
'\n create a list of validator addresses with prefix fxvaloper\n '
cmd = Cmd._filter_cmd('validator_info', 'cmd_list.json')
data = Cmd._get_raw_data(cmd)
val_add_list = []
for d in data['validators']:
val_add_list.append(d['operator_address'])
return va... | create a list of validator addresses with prefix fxvaloper | Data.py | _get_val_list | FunctionX/validator_queries | 0 | python | def _get_val_list() -> list:
'\n \n '
cmd = Cmd._filter_cmd('validator_info', 'cmd_list.json')
data = Cmd._get_raw_data(cmd)
val_add_list = []
for d in data['validators']:
val_add_list.append(d['operator_address'])
return val_add_list | def _get_val_list() -> list:
'\n \n '
cmd = Cmd._filter_cmd('validator_info', 'cmd_list.json')
data = Cmd._get_raw_data(cmd)
val_add_list = []
for d in data['validators']:
val_add_list.append(d['operator_address'])
return val_add_list<|docstring|>create a list of validator addresse... |
834dcdfd8ffb5c0717add245c5d010234ff0ee0f2f27f813373fba4453cb1f2e | def _get_create_val_event():
'\n get all validator birthdate and corresponding wallet address\n '
validators = []
cmd = Cmd._filter_cmd('create_val', 'cmd_list.json')
data = Cmd._get_raw_data(cmd)
for create_val in data['txs']:
address = create_val['logs'][0]['events'][0]['attributes']... | get all validator birthdate and corresponding wallet address | Data.py | _get_create_val_event | FunctionX/validator_queries | 0 | python | def _get_create_val_event():
'\n \n '
validators = []
cmd = Cmd._filter_cmd('create_val', 'cmd_list.json')
data = Cmd._get_raw_data(cmd)
for create_val in data['txs']:
address = create_val['logs'][0]['events'][0]['attributes'][0]['value']
wallet_address = create_val['logs'][0][... | def _get_create_val_event():
'\n \n '
validators = []
cmd = Cmd._filter_cmd('create_val', 'cmd_list.json')
data = Cmd._get_raw_data(cmd)
for create_val in data['txs']:
address = create_val['logs'][0]['events'][0]['attributes'][0]['value']
wallet_address = create_val['logs'][0][... |
70ba9d5fd4c87cac94036523dc096c8840a2656b274d55d3abde6a9418c7656d | def _get_val_outstanding_comms():
'\n get outstanding comms for validator\n '
values = []
val_list = _get_val_list()
for val in val_list:
cmd = Cmd._filter_cmd('val_outstanding_comms', 'cmd_list.json')
cmd[4] = val
commission_data = Cmd._get_raw_data(cmd)
if (len(co... | get outstanding comms for validator | Data.py | _get_val_outstanding_comms | FunctionX/validator_queries | 0 | python | def _get_val_outstanding_comms():
'\n \n '
values = []
val_list = _get_val_list()
for val in val_list:
cmd = Cmd._filter_cmd('val_outstanding_comms', 'cmd_list.json')
cmd[4] = val
commission_data = Cmd._get_raw_data(cmd)
if (len(commission_data['commission']) > 0):
... | def _get_val_outstanding_comms():
'\n \n '
values = []
val_list = _get_val_list()
for val in val_list:
cmd = Cmd._filter_cmd('val_outstanding_comms', 'cmd_list.json')
cmd[4] = val
commission_data = Cmd._get_raw_data(cmd)
if (len(commission_data['commission']) > 0):
... |
af7d0e1c9537b2d07e2e938de493b6d0318dcb7d98c347706492b6dd5737adbe | def _get_val_outstanding_delegated_rewards():
'\n get delegated rewards\n '
values = []
val_info = _get_create_val_event()
for v in val_info:
wallet_address = v[1]
cmd = Cmd._filter_cmd('delegator_rewards', 'cmd_list.json')
cmd[4] = wallet_address
rewards_data = Cmd... | get delegated rewards | Data.py | _get_val_outstanding_delegated_rewards | FunctionX/validator_queries | 0 | python | def _get_val_outstanding_delegated_rewards():
'\n \n '
values = []
val_info = _get_create_val_event()
for v in val_info:
wallet_address = v[1]
cmd = Cmd._filter_cmd('delegator_rewards', 'cmd_list.json')
cmd[4] = wallet_address
rewards_data = Cmd._get_raw_data(cmd)
... | def _get_val_outstanding_delegated_rewards():
'\n \n '
values = []
val_info = _get_create_val_event()
for v in val_info:
wallet_address = v[1]
cmd = Cmd._filter_cmd('delegator_rewards', 'cmd_list.json')
cmd[4] = wallet_address
rewards_data = Cmd._get_raw_data(cmd)
... |
c83e15daf8e4f179e7bd61936aaff08fdfd92f73654f195a62e559eeadeeb23e | def _get_all_val_withdrawals():
'\n filters out all validator withdrawals "withdraw_rewards" & "withdraw_commission" and returns it in a dictionary with the following format:\n [\n {\n "EXAMPLE_KEY": {\n "3159434": {\n "withdraw_rewards": "11552361789042999846400FX",\n ... | filters out all validator withdrawals "withdraw_rewards" & "withdraw_commission" and returns it in a dictionary with the following format:
[
{
"EXAMPLE_KEY": {
"3159434": {
"withdraw_rewards": "11552361789042999846400FX",
"withdraw_commission": "23699689167352852164225FX"
... | Data.py | _get_all_val_withdrawals | FunctionX/validator_queries | 0 | python | def _get_all_val_withdrawals():
'\n filters out all validator withdrawals "withdraw_rewards" & "withdraw_commission" and returns it in a dictionary with the following format:\n [\n {\n "EXAMPLE_KEY": {\n "3159434": {\n "withdraw_rewards": "11552361789042999846400FX",\n ... | def _get_all_val_withdrawals():
'\n filters out all validator withdrawals "withdraw_rewards" & "withdraw_commission" and returns it in a dictionary with the following format:\n [\n {\n "EXAMPLE_KEY": {\n "3159434": {\n "withdraw_rewards": "11552361789042999846400FX",\n ... |
b716089f960c1394ba27998a10e5db86e580eb84e906d92b5039ce3dcd2b195c | def _get_val_fxcored_status() -> dict:
'\n query all status for validators\n '
cmd = Cmd._filter_cmd('validator_info', 'cmd_list.json')
data = Cmd._get_raw_data(cmd)
return data | query all status for validators | Data.py | _get_val_fxcored_status | FunctionX/validator_queries | 0 | python | def _get_val_fxcored_status() -> dict:
'\n \n '
cmd = Cmd._filter_cmd('validator_info', 'cmd_list.json')
data = Cmd._get_raw_data(cmd)
return data | def _get_val_fxcored_status() -> dict:
'\n \n '
cmd = Cmd._filter_cmd('validator_info', 'cmd_list.json')
data = Cmd._get_raw_data(cmd)
return data<|docstring|>query all status for validators<|endoftext|> |
02da70c53b3a9e60405faffead547736a6185b269c77d77bac1b58103e1f4c64 | async def trusted_sync(self, full_node: WSChivesConnection):
'\n Performs a one-time sync with each trusted peer, subscribing to interested puzzle hashes and coin ids.\n '
self.log.info('Starting trusted sync')
assert (self.wallet_state_manager is not None)
self.wallet_state_manager.set_sy... | Performs a one-time sync with each trusted peer, subscribing to interested puzzle hashes and coin ids. | chives/wallet/wallet_node.py | trusted_sync | HiveProject2021/chives-light-wallet | 7 | python | async def trusted_sync(self, full_node: WSChivesConnection):
'\n \n '
self.log.info('Starting trusted sync')
assert (self.wallet_state_manager is not None)
self.wallet_state_manager.set_sync_mode(True)
start_time = time.time()
current_height: uint32 = self.wallet_state_manager.bloc... | async def trusted_sync(self, full_node: WSChivesConnection):
'\n \n '
self.log.info('Starting trusted sync')
assert (self.wallet_state_manager is not None)
self.wallet_state_manager.set_sync_mode(True)
start_time = time.time()
current_height: uint32 = self.wallet_state_manager.bloc... |
ed625342e106ac45c0b6209c9096f6a3e7cb09d8c4d8de85e8b7019ceda7a240 | async def subscribe_to_phs(self, puzzle_hashes: List[bytes32], peer: WSChivesConnection, height=uint32(0)):
'\n Tell full nodes that we are interested in puzzle hashes, and for trusted connections, add the new coin state\n for the puzzle hashes.\n '
msg = wallet_protocol.RegisterForPhUpdate... | Tell full nodes that we are interested in puzzle hashes, and for trusted connections, add the new coin state
for the puzzle hashes. | chives/wallet/wallet_node.py | subscribe_to_phs | HiveProject2021/chives-light-wallet | 7 | python | async def subscribe_to_phs(self, puzzle_hashes: List[bytes32], peer: WSChivesConnection, height=uint32(0)):
'\n Tell full nodes that we are interested in puzzle hashes, and for trusted connections, add the new coin state\n for the puzzle hashes.\n '
msg = wallet_protocol.RegisterForPhUpdate... | async def subscribe_to_phs(self, puzzle_hashes: List[bytes32], peer: WSChivesConnection, height=uint32(0)):
'\n Tell full nodes that we are interested in puzzle hashes, and for trusted connections, add the new coin state\n for the puzzle hashes.\n '
msg = wallet_protocol.RegisterForPhUpdate... |
a7008a8754ab3fcf8a12af49560a029c63a4baa869c48eb0aad7f1e7bd749a8b | async def subscribe_to_coin_updates(self, coin_names, peer, height=uint32(0)):
'\n Tell full nodes that we are interested in coin ids, and for trusted connections, add the new coin state\n for the coin changes.\n '
msg = wallet_protocol.RegisterForCoinUpdates(coin_names, height)
all_coi... | Tell full nodes that we are interested in coin ids, and for trusted connections, add the new coin state
for the coin changes. | chives/wallet/wallet_node.py | subscribe_to_coin_updates | HiveProject2021/chives-light-wallet | 7 | python | async def subscribe_to_coin_updates(self, coin_names, peer, height=uint32(0)):
'\n Tell full nodes that we are interested in coin ids, and for trusted connections, add the new coin state\n for the coin changes.\n '
msg = wallet_protocol.RegisterForCoinUpdates(coin_names, height)
all_coi... | async def subscribe_to_coin_updates(self, coin_names, peer, height=uint32(0)):
'\n Tell full nodes that we are interested in coin ids, and for trusted connections, add the new coin state\n for the coin changes.\n '
msg = wallet_protocol.RegisterForCoinUpdates(coin_names, height)
all_coi... |
64b61688e42e046e689b8f1e6d707713b1b620ca86f3eaa30830db04ee5c7fa1 | async def get_timestamp_for_height(self, height: uint32) -> uint64:
'\n Returns the timestamp for transaction block at h=height, if not transaction block, backtracks until it finds\n a transaction block\n '
if (height in self.height_to_time):
return self.height_to_time[height]
p... | Returns the timestamp for transaction block at h=height, if not transaction block, backtracks until it finds
a transaction block | chives/wallet/wallet_node.py | get_timestamp_for_height | HiveProject2021/chives-light-wallet | 7 | python | async def get_timestamp_for_height(self, height: uint32) -> uint64:
'\n Returns the timestamp for transaction block at h=height, if not transaction block, backtracks until it finds\n a transaction block\n '
if (height in self.height_to_time):
return self.height_to_time[height]
p... | async def get_timestamp_for_height(self, height: uint32) -> uint64:
'\n Returns the timestamp for transaction block at h=height, if not transaction block, backtracks until it finds\n a transaction block\n '
if (height in self.height_to_time):
return self.height_to_time[height]
p... |
11033983d65736d6619694035142f78084fb38b23623b0907113f31f35c74c93 | async def validate_received_state_from_peer(self, coin_states: List[CoinState], peer, weight_proof: WeightProof, peer_request_cache: PeerRequestCache, return_old_state: bool) -> List[CoinState]:
'\n Returns all state that is valid and included in the blockchain proved by the weight proof. If return_old_state... | Returns all state that is valid and included in the blockchain proved by the weight proof. If return_old_states
is False, only new states that are not in the coin_store are returned. | chives/wallet/wallet_node.py | validate_received_state_from_peer | HiveProject2021/chives-light-wallet | 7 | python | async def validate_received_state_from_peer(self, coin_states: List[CoinState], peer, weight_proof: WeightProof, peer_request_cache: PeerRequestCache, return_old_state: bool) -> List[CoinState]:
'\n Returns all state that is valid and included in the blockchain proved by the weight proof. If return_old_state... | async def validate_received_state_from_peer(self, coin_states: List[CoinState], peer, weight_proof: WeightProof, peer_request_cache: PeerRequestCache, return_old_state: bool) -> List[CoinState]:
'\n Returns all state that is valid and included in the blockchain proved by the weight proof. If return_old_state... |
596ece9a42b5dee5e38a79b51978a5b6d101260746641e7908cfac073cf257c1 | def api211_snmp_managers_delete_with_http_info(self, authorization=None, x_request_id=None, names=None, async_req=False, _return_http_data_only=False, _preload_content=True, _request_timeout=None):
'Delete SNMP manager\n\n Deletes the SNMP manager object and stops communication with specified managers.\n ... | Delete SNMP manager
Deletes the SNMP manager object and stops communication with specified managers.
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api211_snmp_managers_delete_with_http_info(async_req=True)
>>> result = thread.... | pypureclient/flasharray/FA_2_11/api/snmp_managers_api.py | api211_snmp_managers_delete_with_http_info | genegr/py-pure-client | 14 | python | def api211_snmp_managers_delete_with_http_info(self, authorization=None, x_request_id=None, names=None, async_req=False, _return_http_data_only=False, _preload_content=True, _request_timeout=None):
'Delete SNMP manager\n\n Deletes the SNMP manager object and stops communication with specified managers.\n ... | def api211_snmp_managers_delete_with_http_info(self, authorization=None, x_request_id=None, names=None, async_req=False, _return_http_data_only=False, _preload_content=True, _request_timeout=None):
'Delete SNMP manager\n\n Deletes the SNMP manager object and stops communication with specified managers.\n ... |
5b4ad6991fc5d05077f03100263d8a13e1ce5ff6b68e6ce624ceb9418b2e5e83 | def api211_snmp_managers_get_with_http_info(self, authorization=None, x_request_id=None, continuation_token=None, filter=None, limit=None, names=None, offset=None, sort=None, total_item_count=None, async_req=False, _return_http_data_only=False, _preload_content=True, _request_timeout=None):
'List SNMP managers\n\n ... | List SNMP managers
Displays designated SNMP managers and their communication and security attributes.
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api211_snmp_managers_get_with_http_info(async_req=True)
>>> result = thread.ge... | pypureclient/flasharray/FA_2_11/api/snmp_managers_api.py | api211_snmp_managers_get_with_http_info | genegr/py-pure-client | 14 | python | def api211_snmp_managers_get_with_http_info(self, authorization=None, x_request_id=None, continuation_token=None, filter=None, limit=None, names=None, offset=None, sort=None, total_item_count=None, async_req=False, _return_http_data_only=False, _preload_content=True, _request_timeout=None):
'List SNMP managers\n\n ... | def api211_snmp_managers_get_with_http_info(self, authorization=None, x_request_id=None, continuation_token=None, filter=None, limit=None, names=None, offset=None, sort=None, total_item_count=None, async_req=False, _return_http_data_only=False, _preload_content=True, _request_timeout=None):
'List SNMP managers\n\n ... |
ac5040e568f45bea79c37a3ee383c4dcc5a5e9aeb0f46738506e3981a19122b5 | def api211_snmp_managers_patch_with_http_info(self, snmp_manager=None, authorization=None, x_request_id=None, names=None, async_req=False, _return_http_data_only=False, _preload_content=True, _request_timeout=None):
'Modify SNMP manager\n\n Modifies the name or the protocol attributes of the specified SNMP m... | Modify SNMP manager
Modifies the name or the protocol attributes of the specified SNMP manager.
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api211_snmp_managers_patch_with_http_info(snmp_manager, async_req=True)
>>> result =... | pypureclient/flasharray/FA_2_11/api/snmp_managers_api.py | api211_snmp_managers_patch_with_http_info | genegr/py-pure-client | 14 | python | def api211_snmp_managers_patch_with_http_info(self, snmp_manager=None, authorization=None, x_request_id=None, names=None, async_req=False, _return_http_data_only=False, _preload_content=True, _request_timeout=None):
'Modify SNMP manager\n\n Modifies the name or the protocol attributes of the specified SNMP m... | def api211_snmp_managers_patch_with_http_info(self, snmp_manager=None, authorization=None, x_request_id=None, names=None, async_req=False, _return_http_data_only=False, _preload_content=True, _request_timeout=None):
'Modify SNMP manager\n\n Modifies the name or the protocol attributes of the specified SNMP m... |
6332b0aa0be61964ce1e7d4bc34dc3a72a30b861b5f09923f437b197c2ecbbc0 | def api211_snmp_managers_post_with_http_info(self, snmp_manager=None, authorization=None, x_request_id=None, names=None, async_req=False, _return_http_data_only=False, _preload_content=True, _request_timeout=None):
'Create SNMP manager\n\n Creates a Purity SNMP manager object that identifies a host (SNMP man... | Create SNMP manager
Creates a Purity SNMP manager object that identifies a host (SNMP manager) and specifies the protocol attributes for communicating with it. Once a manager object is created, the transmission of SNMP traps is immediately enabled.
This method makes a synchronous HTTP request by default. To make an
as... | pypureclient/flasharray/FA_2_11/api/snmp_managers_api.py | api211_snmp_managers_post_with_http_info | genegr/py-pure-client | 14 | python | def api211_snmp_managers_post_with_http_info(self, snmp_manager=None, authorization=None, x_request_id=None, names=None, async_req=False, _return_http_data_only=False, _preload_content=True, _request_timeout=None):
'Create SNMP manager\n\n Creates a Purity SNMP manager object that identifies a host (SNMP man... | def api211_snmp_managers_post_with_http_info(self, snmp_manager=None, authorization=None, x_request_id=None, names=None, async_req=False, _return_http_data_only=False, _preload_content=True, _request_timeout=None):
'Create SNMP manager\n\n Creates a Purity SNMP manager object that identifies a host (SNMP man... |
711ea9e2feb2cf1a890246a7c3156d12b32b24449d6eebdd4dbd77f224638845 | def api211_snmp_managers_test_get_with_http_info(self, authorization=None, x_request_id=None, filter=None, limit=None, names=None, offset=None, sort=None, total_item_count=None, async_req=False, _return_http_data_only=False, _preload_content=True, _request_timeout=None):
'List SNMP manager test results\n\n D... | List SNMP manager test results
Displays SNMP manager test results (traps or informs).
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.api211_snmp_managers_test_get_with_http_info(async_req=True)
>>> result = thread.get()
:param... | pypureclient/flasharray/FA_2_11/api/snmp_managers_api.py | api211_snmp_managers_test_get_with_http_info | genegr/py-pure-client | 14 | python | def api211_snmp_managers_test_get_with_http_info(self, authorization=None, x_request_id=None, filter=None, limit=None, names=None, offset=None, sort=None, total_item_count=None, async_req=False, _return_http_data_only=False, _preload_content=True, _request_timeout=None):
'List SNMP manager test results\n\n D... | def api211_snmp_managers_test_get_with_http_info(self, authorization=None, x_request_id=None, filter=None, limit=None, names=None, offset=None, sort=None, total_item_count=None, async_req=False, _return_http_data_only=False, _preload_content=True, _request_timeout=None):
'List SNMP manager test results\n\n D... |
f50404ed1c9db82cedef731663bfcb2b2408786791ca744108ccf06e3620e05e | def create_lockfile_name():
'Generate a unique lock filename using UUID'
lock_suffix = str(uuid.uuid4())[:7]
return f'smartsim-{lock_suffix}.lock' | Generate a unique lock filename using UUID | smartsim/_core/utils/helpers.py | create_lockfile_name | MattToast/SmartSim | 0 | python | def create_lockfile_name():
lock_suffix = str(uuid.uuid4())[:7]
return f'smartsim-{lock_suffix}.lock' | def create_lockfile_name():
lock_suffix = str(uuid.uuid4())[:7]
return f'smartsim-{lock_suffix}.lock'<|docstring|>Generate a unique lock filename using UUID<|endoftext|> |
2e85a5f4c706ca0afc3d694b6ba1d96cb450cd09b74026d8b55201045efdca8e | def get_base_36_repr(positive_int):
'Converts a positive integer to its base 36 representation\n :param positive_int: the positive integer to convert\n :type positive_int: int\n :return: base 36 representation of the given positive int\n :rtype: str\n '
digits = '0123456789ABCDEFGHIJKLMNOPQRSTUVW... | Converts a positive integer to its base 36 representation
:param positive_int: the positive integer to convert
:type positive_int: int
:return: base 36 representation of the given positive int
:rtype: str | smartsim/_core/utils/helpers.py | get_base_36_repr | MattToast/SmartSim | 0 | python | def get_base_36_repr(positive_int):
'Converts a positive integer to its base 36 representation\n :param positive_int: the positive integer to convert\n :type positive_int: int\n :return: base 36 representation of the given positive int\n :rtype: str\n '
digits = '0123456789ABCDEFGHIJKLMNOPQRSTUVW... | def get_base_36_repr(positive_int):
'Converts a positive integer to its base 36 representation\n :param positive_int: the positive integer to convert\n :type positive_int: int\n :return: base 36 representation of the given positive int\n :rtype: str\n '
digits = '0123456789ABCDEFGHIJKLMNOPQRSTUVW... |
24f2f857db55e04a0f317dfb036a8d2cebe6b94a1d51edeefc820e2de772b6a8 | def expand_exe_path(exe):
'Takes an executable and returns the full path to that executable\n\n :param exe: executable or file\n :type exe: str\n :raises TypeError: if file is not an executable\n :raises FileNotFoundError: if executable cannot be found\n '
in_path = which(exe)
if (not in_path... | Takes an executable and returns the full path to that executable
:param exe: executable or file
:type exe: str
:raises TypeError: if file is not an executable
:raises FileNotFoundError: if executable cannot be found | smartsim/_core/utils/helpers.py | expand_exe_path | MattToast/SmartSim | 0 | python | def expand_exe_path(exe):
'Takes an executable and returns the full path to that executable\n\n :param exe: executable or file\n :type exe: str\n :raises TypeError: if file is not an executable\n :raises FileNotFoundError: if executable cannot be found\n '
in_path = which(exe)
if (not in_path... | def expand_exe_path(exe):
'Takes an executable and returns the full path to that executable\n\n :param exe: executable or file\n :type exe: str\n :raises TypeError: if file is not an executable\n :raises FileNotFoundError: if executable cannot be found\n '
in_path = which(exe)
if (not in_path... |
183f56f44f56e9ce2508b8b187a88baae213809be7ebbfbf083f01a25d213345 | def colorize(string, color, bold=False, highlight=False):
'\n Colorize a string.\n This function was originally written by John Schulman.\n And then borrowed from spinningup\n https://github.com/openai/spinningup/blob/master/spinup/utils/logx.py\n '
attr = []
num = color2num[color]
if hig... | Colorize a string.
This function was originally written by John Schulman.
And then borrowed from spinningup
https://github.com/openai/spinningup/blob/master/spinup/utils/logx.py | smartsim/_core/utils/helpers.py | colorize | MattToast/SmartSim | 0 | python | def colorize(string, color, bold=False, highlight=False):
'\n Colorize a string.\n This function was originally written by John Schulman.\n And then borrowed from spinningup\n https://github.com/openai/spinningup/blob/master/spinup/utils/logx.py\n '
attr = []
num = color2num[color]
if hig... | def colorize(string, color, bold=False, highlight=False):
'\n Colorize a string.\n This function was originally written by John Schulman.\n And then borrowed from spinningup\n https://github.com/openai/spinningup/blob/master/spinup/utils/logx.py\n '
attr = []
num = color2num[color]
if hig... |
20691331a227c98794598bb17ca69fe81b0cda103ee9443a42f01680e6d79e6e | def delete_elements(dictionary, key_list):
'Delete elements from a dictionary.\n :param dictionary: the dictionary from which the elements must be deleted.\n :type dictionary: dict\n :param key_list: the list of keys to delete from the dictionary.\n :type key: any\n '
for key in key_list:
... | Delete elements from a dictionary.
:param dictionary: the dictionary from which the elements must be deleted.
:type dictionary: dict
:param key_list: the list of keys to delete from the dictionary.
:type key: any | smartsim/_core/utils/helpers.py | delete_elements | MattToast/SmartSim | 0 | python | def delete_elements(dictionary, key_list):
'Delete elements from a dictionary.\n :param dictionary: the dictionary from which the elements must be deleted.\n :type dictionary: dict\n :param key_list: the list of keys to delete from the dictionary.\n :type key: any\n '
for key in key_list:
... | def delete_elements(dictionary, key_list):
'Delete elements from a dictionary.\n :param dictionary: the dictionary from which the elements must be deleted.\n :type dictionary: dict\n :param key_list: the list of keys to delete from the dictionary.\n :type key: any\n '
for key in key_list:
... |
40b5679cf0d72859c958eb986d262e020bd54c2a6e0b0a03a157e721e1c937e9 | def cat_arg_and_value(arg_name, value):
'Concatenate a command line argument and its value\n\n This function returns ``arg_name`` and ``value\n concatenated in the best possible way for a command\n line execution, namely:\n - if arg_name starts with `--` (e.g. `--arg`):\n `arg_name=value` is return... | Concatenate a command line argument and its value
This function returns ``arg_name`` and ``value
concatenated in the best possible way for a command
line execution, namely:
- if arg_name starts with `--` (e.g. `--arg`):
`arg_name=value` is returned (i.e. `--arg=val`)
- if arg_name starts with `-` (e.g. `-a`):
`arg... | smartsim/_core/utils/helpers.py | cat_arg_and_value | MattToast/SmartSim | 0 | python | def cat_arg_and_value(arg_name, value):
'Concatenate a command line argument and its value\n\n This function returns ``arg_name`` and ``value\n concatenated in the best possible way for a command\n line execution, namely:\n - if arg_name starts with `--` (e.g. `--arg`):\n `arg_name=value` is return... | def cat_arg_and_value(arg_name, value):
'Concatenate a command line argument and its value\n\n This function returns ``arg_name`` and ``value\n concatenated in the best possible way for a command\n line execution, namely:\n - if arg_name starts with `--` (e.g. `--arg`):\n `arg_name=value` is return... |
420de37507d2672f36f956d6a04a6788375c934d9edc99c05817ef55d008f35e | def installed_redisai_backends(backends_path=None):
'Check which ML backends are available for the RedisAI module.\n\n The optional argument ``backends_path`` is needed if the backends\n have not been built as part of the SmartSim building process (i.e.\n they have not been built by invoking `smart build`)... | Check which ML backends are available for the RedisAI module.
The optional argument ``backends_path`` is needed if the backends
have not been built as part of the SmartSim building process (i.e.
they have not been built by invoking `smart build`). In that case
``backends_path`` should point to the directory containing... | smartsim/_core/utils/helpers.py | installed_redisai_backends | MattToast/SmartSim | 0 | python | def installed_redisai_backends(backends_path=None):
'Check which ML backends are available for the RedisAI module.\n\n The optional argument ``backends_path`` is needed if the backends\n have not been built as part of the SmartSim building process (i.e.\n they have not been built by invoking `smart build`)... | def installed_redisai_backends(backends_path=None):
'Check which ML backends are available for the RedisAI module.\n\n The optional argument ``backends_path`` is needed if the backends\n have not been built as part of the SmartSim building process (i.e.\n they have not been built by invoking `smart build`)... |
e443939263030fcffa857f44bbbda7a1a3429ddf01bd75b22ec4e086a4fc64e9 | def import_helper(mod_name):
'\n Helper function used to temporarily override stdout before importing\n a module.\n '
try:
sys.stdout = STDOUT_FAKE
__import__(mod_name)
finally:
sys.stdout = STDOUT_BAK | Helper function used to temporarily override stdout before importing
a module. | Tests/Tools/stdmodules.py | import_helper | kmad1729/ironpython3 | 1,872 | python | def import_helper(mod_name):
'\n Helper function used to temporarily override stdout before importing\n a module.\n '
try:
sys.stdout = STDOUT_FAKE
__import__(mod_name)
finally:
sys.stdout = STDOUT_BAK | def import_helper(mod_name):
'\n Helper function used to temporarily override stdout before importing\n a module.\n '
try:
sys.stdout = STDOUT_FAKE
__import__(mod_name)
finally:
sys.stdout = STDOUT_BAK<|docstring|>Helper function used to temporarily override stdout before im... |
3e98a30466f1132c8743699fff1b4b776e716581cc80c4ee3fc8b11be84f3432 | def is_package(dir_name):
'\n Returns True if dir_name is actually a Python package in the current\n working directory.\n '
if ('.' in dir_name):
return False
try:
if (not nt.stat(dir_name)):
return False
except:
return False
try:
if ('__init__.py... | Returns True if dir_name is actually a Python package in the current
working directory. | Tests/Tools/stdmodules.py | is_package | kmad1729/ironpython3 | 1,872 | python | def is_package(dir_name):
'\n Returns True if dir_name is actually a Python package in the current\n working directory.\n '
if ('.' in dir_name):
return False
try:
if (not nt.stat(dir_name)):
return False
except:
return False
try:
if ('__init__.py... | def is_package(dir_name):
'\n Returns True if dir_name is actually a Python package in the current\n working directory.\n '
if ('.' in dir_name):
return False
try:
if (not nt.stat(dir_name)):
return False
except:
return False
try:
if ('__init__.py... |
2afe2e8758de7f4906be04f3396ec23e651d829ccef7d267e3c7fa68c3ee6836 | def check_package(package_name):
'\n Checks all subpackages and modules in the package_name package.\n '
cwd = nt.getcwd()
if (cwd == CPY_LIB_DIR):
root_name = package_name
else:
root_name = ((cwd.split((CPY_DIR + '\\Lib\\'))[1].replace('\\', '.') + '.') + package_name)
try:
... | Checks all subpackages and modules in the package_name package. | Tests/Tools/stdmodules.py | check_package | kmad1729/ironpython3 | 1,872 | python | def check_package(package_name):
'\n \n '
cwd = nt.getcwd()
if (cwd == CPY_LIB_DIR):
root_name = package_name
else:
root_name = ((cwd.split((CPY_DIR + '\\Lib\\'))[1].replace('\\', '.') + '.') + package_name)
try:
import_helper(package_name)
log_ok(root_name)
... | def check_package(package_name):
'\n \n '
cwd = nt.getcwd()
if (cwd == CPY_LIB_DIR):
root_name = package_name
else:
root_name = ((cwd.split((CPY_DIR + '\\Lib\\'))[1].replace('\\', '.') + '.') + package_name)
try:
import_helper(package_name)
log_ok(root_name)
... |
58228279d53cf4115f00a088f114ec01bf4aacc98352c111a56b59d9b4d5d361 | def add_lineselector(figure):
'Add a line selector for all axes of the given figure.\n Return the mpl connection id for disconnection later.\n '
lineselector = LineSelector(figure.get_axes())
def wrapper(event):
lineselector.handler(event)
return figure.canvas.mpl_connect('key_press_event... | Add a line selector for all axes of the given figure.
Return the mpl connection id for disconnection later. | frexp/plot/lineselector.py | add_lineselector | brandjon/frexp | 0 | python | def add_lineselector(figure):
'Add a line selector for all axes of the given figure.\n Return the mpl connection id for disconnection later.\n '
lineselector = LineSelector(figure.get_axes())
def wrapper(event):
lineselector.handler(event)
return figure.canvas.mpl_connect('key_press_event... | def add_lineselector(figure):
'Add a line selector for all axes of the given figure.\n Return the mpl connection id for disconnection later.\n '
lineselector = LineSelector(figure.get_axes())
def wrapper(event):
lineselector.handler(event)
return figure.canvas.mpl_connect('key_press_event... |
a149667aa1994659b0088b64545271c23f8c40d6ee0da0b35da4bf3b208de1f7 | def goto(self, i):
'Go to the new index. No effect if cursor is currently i.'
if (i == self.cursor):
return
if (self.cursor is not None):
self.cb_deactivate(self.cursor, active=False)
self.cursor = i
if (self.cursor is not None):
self.cb_activate(self.cursor, active=True) | Go to the new index. No effect if cursor is currently i. | frexp/plot/lineselector.py | goto | brandjon/frexp | 0 | python | def goto(self, i):
if (i == self.cursor):
return
if (self.cursor is not None):
self.cb_deactivate(self.cursor, active=False)
self.cursor = i
if (self.cursor is not None):
self.cb_activate(self.cursor, active=True) | def goto(self, i):
if (i == self.cursor):
return
if (self.cursor is not None):
self.cb_deactivate(self.cursor, active=False)
self.cursor = i
if (self.cursor is not None):
self.cb_activate(self.cursor, active=True)<|docstring|>Go to the new index. No effect if cursor is curre... |
e66bc336c9cd98a76dabdfbabf3884d04fe250de3fb7df057ac4bb7729ef77a4 | def changeby(self, offset):
'Skip to an offset of the current position.'
states = ([None] + list(range(0, self.num_elems)))
i = states.index(self.cursor)
i = ((i + offset) % len(states))
self.goto(states[i]) | Skip to an offset of the current position. | frexp/plot/lineselector.py | changeby | brandjon/frexp | 0 | python | def changeby(self, offset):
states = ([None] + list(range(0, self.num_elems)))
i = states.index(self.cursor)
i = ((i + offset) % len(states))
self.goto(states[i]) | def changeby(self, offset):
states = ([None] + list(range(0, self.num_elems)))
i = states.index(self.cursor)
i = ((i + offset) % len(states))
self.goto(states[i])<|docstring|>Skip to an offset of the current position.<|endoftext|> |
1a91ad4bc2e18dd08348805086160d9c3a5b4f11281bf5a1b01ccce4628f55c4 | def __init__(self, axes_list):
'Construct to select from among lines of the given axes.'
self.lines = []
self.leglines = []
self.legtexts = []
for axes in axes_list:
new_lines = [line for line in axes.get_lines() if (line.get_label() != '_nolegend_')]
leg = axes.get_legend()
... | Construct to select from among lines of the given axes. | frexp/plot/lineselector.py | __init__ | brandjon/frexp | 0 | python | def __init__(self, axes_list):
self.lines = []
self.leglines = []
self.legtexts = []
for axes in axes_list:
new_lines = [line for line in axes.get_lines() if (line.get_label() != '_nolegend_')]
leg = axes.get_legend()
if (leg is not None):
new_leglines = leg.get_... | def __init__(self, axes_list):
self.lines = []
self.leglines = []
self.legtexts = []
for axes in axes_list:
new_lines = [line for line in axes.get_lines() if (line.get_label() != '_nolegend_')]
leg = axes.get_legend()
if (leg is not None):
new_leglines = leg.get_... |
4f021fb3ca8b9f538e802a48d9a26a7164b658fb06e45e9c3798675e6d316193 | def get_cur_file_path() -> Path:
'\n Description: get path of current file\n :param NAME: TYPE, MEAN\n :return: TYPE, MEAN\n '
return Path(__file__).resolve() | Description: get path of current file
:param NAME: TYPE, MEAN
:return: TYPE, MEAN | Released2019June06/GeneralUtils.py | get_cur_file_path | minhncedutw/pointcloud-robot-grasp | 3 | python | def get_cur_file_path() -> Path:
'\n Description: get path of current file\n :param NAME: TYPE, MEAN\n :return: TYPE, MEAN\n '
return Path(__file__).resolve() | def get_cur_file_path() -> Path:
'\n Description: get path of current file\n :param NAME: TYPE, MEAN\n :return: TYPE, MEAN\n '
return Path(__file__).resolve()<|docstring|>Description: get path of current file
:param NAME: TYPE, MEAN
:return: TYPE, MEAN<|endoftext|> |
601ffa6fef1f28cc4c43e6661bf26345bcd5d294a07742c5af752204c2a060c7 | def get_cur_parent_dir() -> Path:
'\n Description: get parent directory of current file\n :param NAME: TYPE, MEAN\n :return: TYPE, MEAN\n '
return Path(__file__).resolve().parent | Description: get parent directory of current file
:param NAME: TYPE, MEAN
:return: TYPE, MEAN | Released2019June06/GeneralUtils.py | get_cur_parent_dir | minhncedutw/pointcloud-robot-grasp | 3 | python | def get_cur_parent_dir() -> Path:
'\n Description: get parent directory of current file\n :param NAME: TYPE, MEAN\n :return: TYPE, MEAN\n '
return Path(__file__).resolve().parent | def get_cur_parent_dir() -> Path:
'\n Description: get parent directory of current file\n :param NAME: TYPE, MEAN\n :return: TYPE, MEAN\n '
return Path(__file__).resolve().parent<|docstring|>Description: get parent directory of current file
:param NAME: TYPE, MEAN
:return: TYPE, MEAN<|endoftext|> |
64f220cc03b51cbf1a477c7ee43030bbf8538ed1e33832ddcec94d4628813d7f | def get_cur_exe_dir() -> Path:
'\n Description: get current execution directory\n :param NAME: TYPE, MEAN\n :return: TYPE, MEAN\n '
return Path(__file__).cwd() | Description: get current execution directory
:param NAME: TYPE, MEAN
:return: TYPE, MEAN | Released2019June06/GeneralUtils.py | get_cur_exe_dir | minhncedutw/pointcloud-robot-grasp | 3 | python | def get_cur_exe_dir() -> Path:
'\n Description: get current execution directory\n :param NAME: TYPE, MEAN\n :return: TYPE, MEAN\n '
return Path(__file__).cwd() | def get_cur_exe_dir() -> Path:
'\n Description: get current execution directory\n :param NAME: TYPE, MEAN\n :return: TYPE, MEAN\n '
return Path(__file__).cwd()<|docstring|>Description: get current execution directory
:param NAME: TYPE, MEAN
:return: TYPE, MEAN<|endoftext|> |
16a8decbca4e460ddfa100ff6344124ada735c94853550e67c05446775948b6a | def makedir(path: Union[(str, Path)], mode=511, parents: bool=True, exist_ok: bool=False, verbose=False):
'\n Description:\n :param path: [Path, str], path\n :param mode: [0o777, 0o444, ...], chmod(refer: https://help.ubuntu.com/community/FilePermissions)\n :param parents: [Path, str], True: if path is ... | Description:
:param path: [Path, str], path
:param mode: [0o777, 0o444, ...], chmod(refer: https://help.ubuntu.com/community/FilePermissions)
:param parents: [Path, str], True: if path is relative & False: if path is absolute
:param exist_ok: boolean, if path already exists, True: force overwrite & False: raise error
:... | Released2019June06/GeneralUtils.py | makedir | minhncedutw/pointcloud-robot-grasp | 3 | python | def makedir(path: Union[(str, Path)], mode=511, parents: bool=True, exist_ok: bool=False, verbose=False):
'\n Description:\n :param path: [Path, str], path\n :param mode: [0o777, 0o444, ...], chmod(refer: https://help.ubuntu.com/community/FilePermissions)\n :param parents: [Path, str], True: if path is ... | def makedir(path: Union[(str, Path)], mode=511, parents: bool=True, exist_ok: bool=False, verbose=False):
'\n Description:\n :param path: [Path, str], path\n :param mode: [0o777, 0o444, ...], chmod(refer: https://help.ubuntu.com/community/FilePermissions)\n :param parents: [Path, str], True: if path is ... |
25abc935917b65ff1fba2acbd0f0f65ccb234885f8128050ffbb83e24b16f195 | def onehot_encoding(labels, n_classes) -> np.ndarray:
'\n Description: convert integer labels to one hot\n :param labels: an [int, ndarray], a label array of shape (d0, d1, d2, ...dn)\n :param n_classes: an int, number of classes\n :return: [ndarray], an one hot array of shape (d0, d1, ...dn, n_classes)... | Description: convert integer labels to one hot
:param labels: an [int, ndarray], a label array of shape (d0, d1, d2, ...dn)
:param n_classes: an int, number of classes
:return: [ndarray], an one hot array of shape (d0, d1, ...dn, n_classes) | Released2019June06/GeneralUtils.py | onehot_encoding | minhncedutw/pointcloud-robot-grasp | 3 | python | def onehot_encoding(labels, n_classes) -> np.ndarray:
'\n Description: convert integer labels to one hot\n :param labels: an [int, ndarray], a label array of shape (d0, d1, d2, ...dn)\n :param n_classes: an int, number of classes\n :return: [ndarray], an one hot array of shape (d0, d1, ...dn, n_classes)... | def onehot_encoding(labels, n_classes) -> np.ndarray:
'\n Description: convert integer labels to one hot\n :param labels: an [int, ndarray], a label array of shape (d0, d1, d2, ...dn)\n :param n_classes: an int, number of classes\n :return: [ndarray], an one hot array of shape (d0, d1, ...dn, n_classes)... |
c013eb7ce765e9c1d4276fab0f0fe55c2959bd0845d2d10ff836951aa1e4455f | def onehot_decoding(probs, class_axis) -> np.ndarray:
"\n Description: convert one-hot encoding to labels\n :param probs: [ndarray], an probability array, one-hot-encoding type of shape (d0, d1, ...dn)\n :param class_axis: int, axis of classes in 'probs' array(0 <= class_axis <= n)\n :return: [int, ndar... | Description: convert one-hot encoding to labels
:param probs: [ndarray], an probability array, one-hot-encoding type of shape (d0, d1, ...dn)
:param class_axis: int, axis of classes in 'probs' array(0 <= class_axis <= n)
:return: [int, ndarray], an label array of shape (d0, d1, ...dn-1) | Released2019June06/GeneralUtils.py | onehot_decoding | minhncedutw/pointcloud-robot-grasp | 3 | python | def onehot_decoding(probs, class_axis) -> np.ndarray:
"\n Description: convert one-hot encoding to labels\n :param probs: [ndarray], an probability array, one-hot-encoding type of shape (d0, d1, ...dn)\n :param class_axis: int, axis of classes in 'probs' array(0 <= class_axis <= n)\n :return: [int, ndar... | def onehot_decoding(probs, class_axis) -> np.ndarray:
"\n Description: convert one-hot encoding to labels\n :param probs: [ndarray], an probability array, one-hot-encoding type of shape (d0, d1, ...dn)\n :param class_axis: int, axis of classes in 'probs' array(0 <= class_axis <= n)\n :return: [int, ndar... |
9c28a637bd36eb69a3aa50a8b77028e14242a1fe61d62a38b4cdf5c88a06290b | def sample_indices(n_samples: int, max_index: int, replace: bool=None) -> np.ndarray:
'\n Get a list indice sample for an array\n :param n_samples: an integer, number of expected samples\n :param length: an integer, length of array\n :return: an array of numpy, is a list of indices\n '
if (replac... | Get a list indice sample for an array
:param n_samples: an integer, number of expected samples
:param length: an integer, length of array
:return: an array of numpy, is a list of indices | Released2019June06/GeneralUtils.py | sample_indices | minhncedutw/pointcloud-robot-grasp | 3 | python | def sample_indices(n_samples: int, max_index: int, replace: bool=None) -> np.ndarray:
'\n Get a list indice sample for an array\n :param n_samples: an integer, number of expected samples\n :param length: an integer, length of array\n :return: an array of numpy, is a list of indices\n '
if (replac... | def sample_indices(n_samples: int, max_index: int, replace: bool=None) -> np.ndarray:
'\n Get a list indice sample for an array\n :param n_samples: an integer, number of expected samples\n :param length: an integer, length of array\n :return: an array of numpy, is a list of indices\n '
if (replac... |
64c01150140b664f2ae28f29f9c3bdde5d85888f05d7d563571de96505f518bf | def sample_arrays(arrs: Union[(np.ndarray, List[np.ndarray], Tuple[np.ndarray])], n_samples: int) -> List[np.ndarray]:
'\n Sample a list of arrays\n :param arrs: List or Tuple of ndarray, the arrays that need to be sampled\n :param n_samples: an integer, number of expected samples\n :return: a list of n... | Sample a list of arrays
:param arrs: List or Tuple of ndarray, the arrays that need to be sampled
:param n_samples: an integer, number of expected samples
:return: a list of numpy array, that are synchronically-sampled arrays | Released2019June06/GeneralUtils.py | sample_arrays | minhncedutw/pointcloud-robot-grasp | 3 | python | def sample_arrays(arrs: Union[(np.ndarray, List[np.ndarray], Tuple[np.ndarray])], n_samples: int) -> List[np.ndarray]:
'\n Sample a list of arrays\n :param arrs: List or Tuple of ndarray, the arrays that need to be sampled\n :param n_samples: an integer, number of expected samples\n :return: a list of n... | def sample_arrays(arrs: Union[(np.ndarray, List[np.ndarray], Tuple[np.ndarray])], n_samples: int) -> List[np.ndarray]:
'\n Sample a list of arrays\n :param arrs: List or Tuple of ndarray, the arrays that need to be sampled\n :param n_samples: an integer, number of expected samples\n :return: a list of n... |
56493331f48ae3e70ad0a7ef11ad57c9c306a07bdff61bb49410ad82151f8bf5 | def load_pickle(name: str):
'\n Description:\n :param name: str, file name without file extension\n :return: obj\n '
handle = open((name + '.pickle'), 'rb')
obj = pickle.load(file=handle)
handle.close()
return obj | Description:
:param name: str, file name without file extension
:return: obj | Released2019June06/GeneralUtils.py | load_pickle | minhncedutw/pointcloud-robot-grasp | 3 | python | def load_pickle(name: str):
'\n Description:\n :param name: str, file name without file extension\n :return: obj\n '
handle = open((name + '.pickle'), 'rb')
obj = pickle.load(file=handle)
handle.close()
return obj | def load_pickle(name: str):
'\n Description:\n :param name: str, file name without file extension\n :return: obj\n '
handle = open((name + '.pickle'), 'rb')
obj = pickle.load(file=handle)
handle.close()
return obj<|docstring|>Description:
:param name: str, file name without file extensio... |
06cca1124f312730e228af61a844eb094615387fea483bafdb6d662df2e48977 | def connect(config: dict) -> InfluxDBClient:
"Connect to the InfluxDB with given config\n\n :param config: Dictionary (or object with dictionary interface) in format:\n\n {'host': 'localhost', 'port': 8086, 'timeout': 5, 'username': 'username', 'password': 'password',\n 'database': 'database'}\... | Connect to the InfluxDB with given config
:param config: Dictionary (or object with dictionary interface) in format:
{'host': 'localhost', 'port': 8086, 'timeout': 5, 'username': 'username', 'password': 'password',
'database': 'database'}
or in format:
{'INFLUXDB_HOST': 'localhost', 'INFLUXDB_PO... | dbinflux/dbinflux.py | connect | andyceo/pylibs | 1 | python | def connect(config: dict) -> InfluxDBClient:
"Connect to the InfluxDB with given config\n\n :param config: Dictionary (or object with dictionary interface) in format:\n\n {'host': 'localhost', 'port': 8086, 'timeout': 5, 'username': 'username', 'password': 'password',\n 'database': 'database'}\... | def connect(config: dict) -> InfluxDBClient:
"Connect to the InfluxDB with given config\n\n :param config: Dictionary (or object with dictionary interface) in format:\n\n {'host': 'localhost', 'port': 8086, 'timeout': 5, 'username': 'username', 'password': 'password',\n 'database': 'database'}\... |
2c23759c29a6947a3869a9f77b6fa8371d7433d9396fd5efbbacfb07e23c644c | def dump_measurement_csv(client, measurement, chunk_size=500, logger=None, show_cli_cmd=False):
'Dump given measurement to csv file'
if (not logger):
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger()
query = 'SELECT * FROM {}'.format(measurement)
if show_cli_cmd:
... | Dump given measurement to csv file | dbinflux/dbinflux.py | dump_measurement_csv | andyceo/pylibs | 1 | python | def dump_measurement_csv(client, measurement, chunk_size=500, logger=None, show_cli_cmd=False):
if (not logger):
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger()
query = 'SELECT * FROM {}'.format(measurement)
if show_cli_cmd:
logger.info("0. Stop inserting in... | def dump_measurement_csv(client, measurement, chunk_size=500, logger=None, show_cli_cmd=False):
if (not logger):
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger()
query = 'SELECT * FROM {}'.format(measurement)
if show_cli_cmd:
logger.info("0. Stop inserting in... |
78e576e2ab2e7c427e0f05c7e4e77ff8f89fc4b284eaacfe3dca585aee3a773c | def csv2lp(csv_filepath, tags_keys=None, database=None, retention_policy=None):
"Transform given csv file into file protocol file. Run example:\n csv2lp('/root/bitfinex_ticker.csv', ['symbol'], 'alfadirect', 'alfadirect')"
tags_keys = (tags_keys if tags_keys else [])
(path, filename) = os.path.split(csv_... | Transform given csv file into file protocol file. Run example:
csv2lp('/root/bitfinex_ticker.csv', ['symbol'], 'alfadirect', 'alfadirect') | dbinflux/dbinflux.py | csv2lp | andyceo/pylibs | 1 | python | def csv2lp(csv_filepath, tags_keys=None, database=None, retention_policy=None):
"Transform given csv file into file protocol file. Run example:\n csv2lp('/root/bitfinex_ticker.csv', ['symbol'], 'alfadirect', 'alfadirect')"
tags_keys = (tags_keys if tags_keys else [])
(path, filename) = os.path.split(csv_... | def csv2lp(csv_filepath, tags_keys=None, database=None, retention_policy=None):
"Transform given csv file into file protocol file. Run example:\n csv2lp('/root/bitfinex_ticker.csv', ['symbol'], 'alfadirect', 'alfadirect')"
tags_keys = (tags_keys if tags_keys else [])
(path, filename) = os.path.split(csv_... |
01e9d150688cdcd3a9c99ad2412e46ea6e4339eaa021733e988d5eaa7a16cbd3 | def move_points(source, dest):
"This function helps transfer points from one database (and/or measurement) to another one. Here is the demo\n script using that function:\n\n\n import pylibs\n\n source = {\n 'client': pylibs.connect({\n 'host': 'influxdb_source',\n 'username': '... | This function helps transfer points from one database (and/or measurement) to another one. Here is the demo
script using that function:
import pylibs
source = {
'client': pylibs.connect({
'host': 'influxdb_source',
'username': 'user1',
'password': 'super_secret_password',
'databas... | dbinflux/dbinflux.py | move_points | andyceo/pylibs | 1 | python | def move_points(source, dest):
"This function helps transfer points from one database (and/or measurement) to another one. Here is the demo\n script using that function:\n\n\n import pylibs\n\n source = {\n 'client': pylibs.connect({\n 'host': 'influxdb_source',\n 'username': '... | def move_points(source, dest):
"This function helps transfer points from one database (and/or measurement) to another one. Here is the demo\n script using that function:\n\n\n import pylibs\n\n source = {\n 'client': pylibs.connect({\n 'host': 'influxdb_source',\n 'username': '... |
453ddb7050f9610be2eb68cfeafb789dd82f3e573e83420882fda541b4bbd6cb | def argparse_add_influxdb_options(parser: argparse.ArgumentParser):
'Add InfluxDB connection parameters to given parser. Also read environment variables for defaults'
parser.add_argument('--influxdb-host', metavar='HOST', default=os.environ.get('INFLUXDB_HOST', 'localhost'), help='InfluxDB host name')
parse... | Add InfluxDB connection parameters to given parser. Also read environment variables for defaults | dbinflux/dbinflux.py | argparse_add_influxdb_options | andyceo/pylibs | 1 | python | def argparse_add_influxdb_options(parser: argparse.ArgumentParser):
parser.add_argument('--influxdb-host', metavar='HOST', default=os.environ.get('INFLUXDB_HOST', 'localhost'), help='InfluxDB host name')
parser.add_argument('--influxdb-port', metavar='PORT', default=os.environ.get('INFLUXDB_PORT', 8086), h... | def argparse_add_influxdb_options(parser: argparse.ArgumentParser):
parser.add_argument('--influxdb-host', metavar='HOST', default=os.environ.get('INFLUXDB_HOST', 'localhost'), help='InfluxDB host name')
parser.add_argument('--influxdb-port', metavar='PORT', default=os.environ.get('INFLUXDB_PORT', 8086), h... |
cab6b4d170c1a516c69fef1735a7b0f91e3be47631f441d407eed426e623caf8 | def timestamp_to_influxdb_format(timestamp=time.time()) -> int:
'Convert given timestamp (number of seconds) to integer of InfluxDB format (number of nanoseconds).\n @todo: see __main__ section test: fix them\n\n :param timestamp: Datetime in timestamp format (number of seconds that elapsed since\n 00:... | Convert given timestamp (number of seconds) to integer of InfluxDB format (number of nanoseconds).
@todo: see __main__ section test: fix them
:param timestamp: Datetime in timestamp format (number of seconds that elapsed since
00:00:00 Coordinated Universal Time (UTC), Thursday, 1 January 1970. Can be string, int ... | dbinflux/dbinflux.py | timestamp_to_influxdb_format | andyceo/pylibs | 1 | python | def timestamp_to_influxdb_format(timestamp=time.time()) -> int:
'Convert given timestamp (number of seconds) to integer of InfluxDB format (number of nanoseconds).\n @todo: see __main__ section test: fix them\n\n :param timestamp: Datetime in timestamp format (number of seconds that elapsed since\n 00:... | def timestamp_to_influxdb_format(timestamp=time.time()) -> int:
'Convert given timestamp (number of seconds) to integer of InfluxDB format (number of nanoseconds).\n @todo: see __main__ section test: fix them\n\n :param timestamp: Datetime in timestamp format (number of seconds that elapsed since\n 00:... |
826172babdf0e393edda5b4c36f785175ac726193e606f3f4f25d3c05080962d | def get_measurements(client: InfluxDBClient, database='') -> list:
'Return the list of measurements in given database'
query = 'SHOW MEASUREMENTS'
query += (' ON "{}"'.format(database) if database else '')
return [_['name'] for _ in client.query(query).get_points()] | Return the list of measurements in given database | dbinflux/dbinflux.py | get_measurements | andyceo/pylibs | 1 | python | def get_measurements(client: InfluxDBClient, database=) -> list:
query = 'SHOW MEASUREMENTS'
query += (' ON "{}"'.format(database) if database else )
return [_['name'] for _ in client.query(query).get_points()] | def get_measurements(client: InfluxDBClient, database=) -> list:
query = 'SHOW MEASUREMENTS'
query += (' ON "{}"'.format(database) if database else )
return [_['name'] for _ in client.query(query).get_points()]<|docstring|>Return the list of measurements in given database<|endoftext|> |
91e3eda31913783c0d294ab803242f88716dc9158a9d3465a369e3d3d4fff42c | def get_series(client: InfluxDBClient, database='', measurement='') -> list:
'Return the list of series in given database and measurement'
query = 'SHOW SERIES'
query += (' ON "{}"'.format(database) if database else '')
query += (' FROM "{}"'.format(measurement) if measurement else '')
return [_['ke... | Return the list of series in given database and measurement | dbinflux/dbinflux.py | get_series | andyceo/pylibs | 1 | python | def get_series(client: InfluxDBClient, database=, measurement=) -> list:
query = 'SHOW SERIES'
query += (' ON "{}"'.format(database) if database else )
query += (' FROM "{}"'.format(measurement) if measurement else )
return [_['key'] for _ in client.query(query).get_points()] | def get_series(client: InfluxDBClient, database=, measurement=) -> list:
query = 'SHOW SERIES'
query += (' ON "{}"'.format(database) if database else )
query += (' FROM "{}"'.format(measurement) if measurement else )
return [_['key'] for _ in client.query(query).get_points()]<|docstring|>Return the... |
5b280c6b40cf1b58a1f0397bee608a3653093950d4a1ce0cc62bfdf1c5963c89 | def get_fields_keys(client: InfluxDBClient, database='', measurement='') -> dict:
'Return the dictionary of field keys, where key is field name and value is field type, for given database and\n measurement'
query = 'SHOW FIELD KEYS'
query += (' ON "{}"'.format(database) if database else '')
query += ... | Return the dictionary of field keys, where key is field name and value is field type, for given database and
measurement | dbinflux/dbinflux.py | get_fields_keys | andyceo/pylibs | 1 | python | def get_fields_keys(client: InfluxDBClient, database=, measurement=) -> dict:
'Return the dictionary of field keys, where key is field name and value is field type, for given database and\n measurement'
query = 'SHOW FIELD KEYS'
query += (' ON "{}"'.format(database) if database else )
query += (' FRO... | def get_fields_keys(client: InfluxDBClient, database=, measurement=) -> dict:
'Return the dictionary of field keys, where key is field name and value is field type, for given database and\n measurement'
query = 'SHOW FIELD KEYS'
query += (' ON "{}"'.format(database) if database else )
query += (' FRO... |
723754f614a41423b82f87b92a839ad739bc8721a6c6006fc7c1ac958ef575af | def get_tag_keys(client: InfluxDBClient, database='', measurement='') -> list:
'Return the list of tag keys in given database and measurement'
query = 'SHOW TAG KEYS'
query += (' ON "{}"'.format(database) if database else '')
query += (' FROM "{}"'.format(measurement) if measurement else '')
return ... | Return the list of tag keys in given database and measurement | dbinflux/dbinflux.py | get_tag_keys | andyceo/pylibs | 1 | python | def get_tag_keys(client: InfluxDBClient, database=, measurement=) -> list:
query = 'SHOW TAG KEYS'
query += (' ON "{}"'.format(database) if database else )
query += (' FROM "{}"'.format(measurement) if measurement else )
return [_['tagKey'] for _ in client.query(query).get_points()] | def get_tag_keys(client: InfluxDBClient, database=, measurement=) -> list:
query = 'SHOW TAG KEYS'
query += (' ON "{}"'.format(database) if database else )
query += (' FROM "{}"'.format(measurement) if measurement else )
return [_['tagKey'] for _ in client.query(query).get_points()]<|docstring|>Ret... |
e4f2a4ee6e84357204f053bd450229be14e3af3e9919f1d423a355db6a111d24 | def get_tags(client: InfluxDBClient, database='', measurement='') -> dict:
'Return the dictionary of tag keys, where key is tag name and value is a list of tag values, for given database\n and measurement'
tags = {}
for tag in get_tag_keys(client, database, measurement):
query = 'SHOW TAG VALUES'... | Return the dictionary of tag keys, where key is tag name and value is a list of tag values, for given database
and measurement | dbinflux/dbinflux.py | get_tags | andyceo/pylibs | 1 | python | def get_tags(client: InfluxDBClient, database=, measurement=) -> dict:
'Return the dictionary of tag keys, where key is tag name and value is a list of tag values, for given database\n and measurement'
tags = {}
for tag in get_tag_keys(client, database, measurement):
query = 'SHOW TAG VALUES'
... | def get_tags(client: InfluxDBClient, database=, measurement=) -> dict:
'Return the dictionary of tag keys, where key is tag name and value is a list of tag values, for given database\n and measurement'
tags = {}
for tag in get_tag_keys(client, database, measurement):
query = 'SHOW TAG VALUES'
... |
29ffa14ffaa0af741a0f50f33cda07a8f202eff1475a3932211f7d886851cb9f | def compare_point_with_db(client: InfluxDBClient, measurement: str, tag_set: dict, ts: int, point: dict) -> dict:
'Get the point from InfluxDB for given measurement, tag set and timestamp, and compare results from InfluxDB\n with given point. Return comparison stats.\n\n @see https://docs.influxdata.com/influ... | Get the point from InfluxDB for given measurement, tag set and timestamp, and compare results from InfluxDB
with given point. Return comparison stats.
@see https://docs.influxdata.com/influxdb/v1.8/troubleshooting/frequently-asked-questions/#how-does-influxdb-handle-duplicate-points | dbinflux/dbinflux.py | compare_point_with_db | andyceo/pylibs | 1 | python | def compare_point_with_db(client: InfluxDBClient, measurement: str, tag_set: dict, ts: int, point: dict) -> dict:
'Get the point from InfluxDB for given measurement, tag set and timestamp, and compare results from InfluxDB\n with given point. Return comparison stats.\n\n @see https://docs.influxdata.com/influ... | def compare_point_with_db(client: InfluxDBClient, measurement: str, tag_set: dict, ts: int, point: dict) -> dict:
'Get the point from InfluxDB for given measurement, tag set and timestamp, and compare results from InfluxDB\n with given point. Return comparison stats.\n\n @see https://docs.influxdata.com/influ... |
6b3deaeaeae88f3872f7f15124f503082ca031774813eb69673155a78c79c11e | def range_extract(lst):
'Yield 2-tuple ranges or 1-tuple single elements from list of increasing ints'
lenlst = len(lst)
i = 0
while (i < lenlst):
low = lst[i]
while ((i < (lenlst - 1)) and ((lst[i] + 1) == lst[(i + 1)])):
i += 1
hi = lst[i]
if ((hi - low) >= ... | Yield 2-tuple ranges or 1-tuple single elements from list of increasing ints | Task/Range-extraction/Python/range-extraction-1.py | range_extract | mullikine/RosettaCodeData | 1 | python | def range_extract(lst):
lenlst = len(lst)
i = 0
while (i < lenlst):
low = lst[i]
while ((i < (lenlst - 1)) and ((lst[i] + 1) == lst[(i + 1)])):
i += 1
hi = lst[i]
if ((hi - low) >= 2):
(yield (low, hi))
elif ((hi - low) == 1):
... | def range_extract(lst):
lenlst = len(lst)
i = 0
while (i < lenlst):
low = lst[i]
while ((i < (lenlst - 1)) and ((lst[i] + 1) == lst[(i + 1)])):
i += 1
hi = lst[i]
if ((hi - low) >= 2):
(yield (low, hi))
elif ((hi - low) == 1):
... |
fe751fdb9546d5a6d250eec35e2d09967fc1d5e716d2579af99eb03f3bc9cbfb | def get_solver_info():
' Get the information data of the local CP solver that is target by the solver configuration.\n\n This method creates a CP solver to retrieve this information, and end it immediately.\n It returns a dictionary with various information, as in the following example:\n ::\n {\n ... | Get the information data of the local CP solver that is target by the solver configuration.
This method creates a CP solver to retrieve this information, and end it immediately.
It returns a dictionary with various information, as in the following example:
::
{
"AngelVersion" : 5,
"SourceDate" : "Sep 12 2017",
... | venv/Lib/site-packages/docplex/cp/solver/solver_local.py | get_solver_info | Infinity8sailor/Quantum-CERN | 1 | python | def get_solver_info():
' Get the information data of the local CP solver that is target by the solver configuration.\n\n This method creates a CP solver to retrieve this information, and end it immediately.\n It returns a dictionary with various information, as in the following example:\n ::\n {\n ... | def get_solver_info():
' Get the information data of the local CP solver that is target by the solver configuration.\n\n This method creates a CP solver to retrieve this information, and end it immediately.\n It returns a dictionary with various information, as in the following example:\n ::\n {\n ... |
aa939efe6d7e20153b5c4751fdea750c105c77d64a681f8698b00dccc939bbff | def __init__(self, solver, params, context):
' Create a new solver that solves locally with CP Optimizer Interactive.\n\n Args:\n solver: Parent solver\n params: Solving parameters\n context: Solver context\n Raises:\n CpoException if proxy executable does... | Create a new solver that solves locally with CP Optimizer Interactive.
Args:
solver: Parent solver
params: Solving parameters
context: Solver context
Raises:
CpoException if proxy executable does not exists | venv/Lib/site-packages/docplex/cp/solver/solver_local.py | __init__ | Infinity8sailor/Quantum-CERN | 1 | python | def __init__(self, solver, params, context):
' Create a new solver that solves locally with CP Optimizer Interactive.\n\n Args:\n solver: Parent solver\n params: Solving parameters\n context: Solver context\n Raises:\n CpoException if proxy executable does... | def __init__(self, solver, params, context):
' Create a new solver that solves locally with CP Optimizer Interactive.\n\n Args:\n solver: Parent solver\n params: Solving parameters\n context: Solver context\n Raises:\n CpoException if proxy executable does... |
f24fdfc02cad0494ed3b3d88e8f1c5e8e68feedda1f83832902b12a1ba1adb67 | def _process_start_timeout(self):
' Process the raise of start timeout timer '
if (not self.version_info):
self.timeout_kill = True
self.process.kill() | Process the raise of start timeout timer | venv/Lib/site-packages/docplex/cp/solver/solver_local.py | _process_start_timeout | Infinity8sailor/Quantum-CERN | 1 | python | def _process_start_timeout(self):
' '
if (not self.version_info):
self.timeout_kill = True
self.process.kill() | def _process_start_timeout(self):
' '
if (not self.version_info):
self.timeout_kill = True
self.process.kill()<|docstring|>Process the raise of start timeout timer<|endoftext|> |
d106b0979071cae791964ab87eb494025d8f29c81e93d83cc99b3f031f4b286c | def solve(self):
" Solve the model\n\n According to the value of the context parameter 'verbose', the following information is logged\n if the log output is set:\n * 1: Total time spent to solve the model\n * 2: The process exec file\n * 3: Content of the JSON response\n ... | Solve the model
According to the value of the context parameter 'verbose', the following information is logged
if the log output is set:
* 1: Total time spent to solve the model
* 2: The process exec file
* 3: Content of the JSON response
* 4: Solver traces (if any)
* 5: Messages sent/receive to/from process
Ret... | venv/Lib/site-packages/docplex/cp/solver/solver_local.py | solve | Infinity8sailor/Quantum-CERN | 1 | python | def solve(self):
" Solve the model\n\n According to the value of the context parameter 'verbose', the following information is logged\n if the log output is set:\n * 1: Total time spent to solve the model\n * 2: The process exec file\n * 3: Content of the JSON response\n ... | def solve(self):
" Solve the model\n\n According to the value of the context parameter 'verbose', the following information is logged\n if the log output is set:\n * 1: Total time spent to solve the model\n * 2: The process exec file\n * 3: Content of the JSON response\n ... |
969e2d0ce2b917465cb6e673e5182b4f8a70a58a43fbb8f011d31613838d52b4 | def start_search(self):
' Start a new search. Solutions are retrieved using method search_next().\n '
self._init_model_in_solver()
self._write_message(CMD_START_SEARCH) | Start a new search. Solutions are retrieved using method search_next(). | venv/Lib/site-packages/docplex/cp/solver/solver_local.py | start_search | Infinity8sailor/Quantum-CERN | 1 | python | def start_search(self):
' \n '
self._init_model_in_solver()
self._write_message(CMD_START_SEARCH) | def start_search(self):
' \n '
self._init_model_in_solver()
self._write_message(CMD_START_SEARCH)<|docstring|>Start a new search. Solutions are retrieved using method search_next().<|endoftext|> |
efa6143595937d90947228ad118bfda0276ee44f038a3e16ccc564af221a592c | def search_next(self):
' Get the next available solution.\n\n (This method starts search automatically.)\n\n Returns:\n Next model result (type CpoSolveResult)\n '
self._write_message(CMD_SEARCH_NEXT)
jsol = self._wait_json_result(EVT_SOLVE_RESULT)
return self._create_res... | Get the next available solution.
(This method starts search automatically.)
Returns:
Next model result (type CpoSolveResult) | venv/Lib/site-packages/docplex/cp/solver/solver_local.py | search_next | Infinity8sailor/Quantum-CERN | 1 | python | def search_next(self):
' Get the next available solution.\n\n (This method starts search automatically.)\n\n Returns:\n Next model result (type CpoSolveResult)\n '
self._write_message(CMD_SEARCH_NEXT)
jsol = self._wait_json_result(EVT_SOLVE_RESULT)
return self._create_res... | def search_next(self):
' Get the next available solution.\n\n (This method starts search automatically.)\n\n Returns:\n Next model result (type CpoSolveResult)\n '
self._write_message(CMD_SEARCH_NEXT)
jsol = self._wait_json_result(EVT_SOLVE_RESULT)
return self._create_res... |
4a3de908c65c8b0022444bdd2657052c83ffa4c602a359147998b004b33d4316 | def end_search(self):
' End current search.\n\n Returns:\n Last (fail) solve result with last solve information (type CpoSolveResult)\n '
self._write_message(CMD_END_SEARCH)
jsol = self._wait_json_result(EVT_SOLVE_RESULT)
return self._create_result_object(CpoSolveResult, jsol) | End current search.
Returns:
Last (fail) solve result with last solve information (type CpoSolveResult) | venv/Lib/site-packages/docplex/cp/solver/solver_local.py | end_search | Infinity8sailor/Quantum-CERN | 1 | python | def end_search(self):
' End current search.\n\n Returns:\n Last (fail) solve result with last solve information (type CpoSolveResult)\n '
self._write_message(CMD_END_SEARCH)
jsol = self._wait_json_result(EVT_SOLVE_RESULT)
return self._create_result_object(CpoSolveResult, jsol) | def end_search(self):
' End current search.\n\n Returns:\n Last (fail) solve result with last solve information (type CpoSolveResult)\n '
self._write_message(CMD_END_SEARCH)
jsol = self._wait_json_result(EVT_SOLVE_RESULT)
return self._create_result_object(CpoSolveResult, jsol)<|... |
a01ee5420b896905cb31ab8b14de9a6b2836095d1fea07305d18d286537c98b9 | def abort_search(self):
' Abort current search.\n This method is designed to be called by a different thread than the one currently solving.\n '
self.end() | Abort current search.
This method is designed to be called by a different thread than the one currently solving. | venv/Lib/site-packages/docplex/cp/solver/solver_local.py | abort_search | Infinity8sailor/Quantum-CERN | 1 | python | def abort_search(self):
' Abort current search.\n This method is designed to be called by a different thread than the one currently solving.\n '
self.end() | def abort_search(self):
' Abort current search.\n This method is designed to be called by a different thread than the one currently solving.\n '
self.end()<|docstring|>Abort current search.
This method is designed to be called by a different thread than the one currently solving.<|endoftext|> |
573bfe5e9f8ceed39bd63044abff54b9cb4a37f35e656a9733f4778fa2b16da8 | def refine_conflict(self):
' This method identifies a minimal conflict for the infeasibility of the current model.\n\n See documentation of :meth:`~docplex.cp.solver.solver.CpoSolver.refine_conflict` for details.\n\n Returns:\n Conflict result,\n object of class :class:`~docplex.... | This method identifies a minimal conflict for the infeasibility of the current model.
See documentation of :meth:`~docplex.cp.solver.solver.CpoSolver.refine_conflict` for details.
Returns:
Conflict result,
object of class :class:`~docplex.cp.solution.CpoRefineConflictResult`. | venv/Lib/site-packages/docplex/cp/solver/solver_local.py | refine_conflict | Infinity8sailor/Quantum-CERN | 1 | python | def refine_conflict(self):
' This method identifies a minimal conflict for the infeasibility of the current model.\n\n See documentation of :meth:`~docplex.cp.solver.solver.CpoSolver.refine_conflict` for details.\n\n Returns:\n Conflict result,\n object of class :class:`~docplex.... | def refine_conflict(self):
' This method identifies a minimal conflict for the infeasibility of the current model.\n\n See documentation of :meth:`~docplex.cp.solver.solver.CpoSolver.refine_conflict` for details.\n\n Returns:\n Conflict result,\n object of class :class:`~docplex.... |
351fa4b8b552455248e9ab2cdcabb2eb78a67ba8bb1a4351b6a5319b91b85a0b | def propagate(self):
' This method invokes the propagation on the current model.\n\n See documentation of :meth:`~docplex.cp.solver.solver.CpoSolver.propagate` for details.\n\n Returns:\n Propagation result,\n object of class :class:`~docplex.cp.solution.CpoSolveResult`.\n ... | This method invokes the propagation on the current model.
See documentation of :meth:`~docplex.cp.solver.solver.CpoSolver.propagate` for details.
Returns:
Propagation result,
object of class :class:`~docplex.cp.solution.CpoSolveResult`. | venv/Lib/site-packages/docplex/cp/solver/solver_local.py | propagate | Infinity8sailor/Quantum-CERN | 1 | python | def propagate(self):
' This method invokes the propagation on the current model.\n\n See documentation of :meth:`~docplex.cp.solver.solver.CpoSolver.propagate` for details.\n\n Returns:\n Propagation result,\n object of class :class:`~docplex.cp.solution.CpoSolveResult`.\n ... | def propagate(self):
' This method invokes the propagation on the current model.\n\n See documentation of :meth:`~docplex.cp.solver.solver.CpoSolver.propagate` for details.\n\n Returns:\n Propagation result,\n object of class :class:`~docplex.cp.solution.CpoSolveResult`.\n ... |
9516ffac8137e156a654502d79029662e8c7210e78a20d903da60450daefb7cf | def run_seeds(self, nbrun):
' This method runs *nbrun* times the CP optimizer search with different random seeds\n and computes statistics from the result of these runs.\n\n This method does not return anything. Result statistics are displayed on the log output\n that should be activated.\n\n ... | This method runs *nbrun* times the CP optimizer search with different random seeds
and computes statistics from the result of these runs.
This method does not return anything. Result statistics are displayed on the log output
that should be activated.
Each run of the solver is stopped according to single solve condit... | venv/Lib/site-packages/docplex/cp/solver/solver_local.py | run_seeds | Infinity8sailor/Quantum-CERN | 1 | python | def run_seeds(self, nbrun):
' This method runs *nbrun* times the CP optimizer search with different random seeds\n and computes statistics from the result of these runs.\n\n This method does not return anything. Result statistics are displayed on the log output\n that should be activated.\n\n ... | def run_seeds(self, nbrun):
' This method runs *nbrun* times the CP optimizer search with different random seeds\n and computes statistics from the result of these runs.\n\n This method does not return anything. Result statistics are displayed on the log output\n that should be activated.\n\n ... |
763473214110331644c98c536ab27f9aa57f4307a375e8a639c5b08e5ca01c2e | def set_explain_failure_tags(self, ltags=None):
" This method allows to set the list of failure tags to explain in the next solve.\n\n The failure tags are displayed in the log when the parameter :attr:`~docplex.cp.CpoParameters.LogSearchTags`\n is set to 'On'.\n All existing failure tags previ... | This method allows to set the list of failure tags to explain in the next solve.
The failure tags are displayed in the log when the parameter :attr:`~docplex.cp.CpoParameters.LogSearchTags`
is set to 'On'.
All existing failure tags previously set are cleared prior to set the new ones.
Calling this method with an empty... | venv/Lib/site-packages/docplex/cp/solver/solver_local.py | set_explain_failure_tags | Infinity8sailor/Quantum-CERN | 1 | python | def set_explain_failure_tags(self, ltags=None):
" This method allows to set the list of failure tags to explain in the next solve.\n\n The failure tags are displayed in the log when the parameter :attr:`~docplex.cp.CpoParameters.LogSearchTags`\n is set to 'On'.\n All existing failure tags previ... | def set_explain_failure_tags(self, ltags=None):
" This method allows to set the list of failure tags to explain in the next solve.\n\n The failure tags are displayed in the log when the parameter :attr:`~docplex.cp.CpoParameters.LogSearchTags`\n is set to 'On'.\n All existing failure tags previ... |
90921c3c8de1f2470f519e1f927d364281cfba8dd35c632ec03ca4299816cee5 | def end(self):
' End solver and release all resources.\n '
if self.active:
self.active = False
try:
self._write_message(CMD_EXIT)
except:
pass
try:
self.pout.close()
except:
pass
try:
self.pin.clos... | End solver and release all resources. | venv/Lib/site-packages/docplex/cp/solver/solver_local.py | end | Infinity8sailor/Quantum-CERN | 1 | python | def end(self):
' \n '
if self.active:
self.active = False
try:
self._write_message(CMD_EXIT)
except:
pass
try:
self.pout.close()
except:
pass
try:
self.pin.close()
except:
pass
... | def end(self):
' \n '
if self.active:
self.active = False
try:
self._write_message(CMD_EXIT)
except:
pass
try:
self.pout.close()
except:
pass
try:
self.pin.close()
except:
pass
... |
a223a4b5574a820f5b705e554fa0bade789219265c01f058d57d4d16a819f438 | def _wait_event(self, xevt):
' Wait for a particular event while forwarding logs if any.\n Args:\n xevt: Expected event\n Returns:\n Message data\n Raises:\n SolverException if an error occurs\n '
firsterror = None
while True:
(evt, data) ... | Wait for a particular event while forwarding logs if any.
Args:
xevt: Expected event
Returns:
Message data
Raises:
SolverException if an error occurs | venv/Lib/site-packages/docplex/cp/solver/solver_local.py | _wait_event | Infinity8sailor/Quantum-CERN | 1 | python | def _wait_event(self, xevt):
' Wait for a particular event while forwarding logs if any.\n Args:\n xevt: Expected event\n Returns:\n Message data\n Raises:\n SolverException if an error occurs\n '
firsterror = None
while True:
(evt, data) ... | def _wait_event(self, xevt):
' Wait for a particular event while forwarding logs if any.\n Args:\n xevt: Expected event\n Returns:\n Message data\n Raises:\n SolverException if an error occurs\n '
firsterror = None
while True:
(evt, data) ... |
187e0f05b5f36aa57986911f80984afe908f07e042f198344d8ee291fd83e6ee | def _wait_json_result(self, evt):
' Wait for a JSON result while forwarding logs if any.\n Args:\n evt: Event to wait for\n Returns:\n JSON solution string, decoded from UTF8\n '
data = self._wait_event(evt)
self._set_last_json_result_string(data)
self.context.... | Wait for a JSON result while forwarding logs if any.
Args:
evt: Event to wait for
Returns:
JSON solution string, decoded from UTF8 | venv/Lib/site-packages/docplex/cp/solver/solver_local.py | _wait_json_result | Infinity8sailor/Quantum-CERN | 1 | python | def _wait_json_result(self, evt):
' Wait for a JSON result while forwarding logs if any.\n Args:\n evt: Event to wait for\n Returns:\n JSON solution string, decoded from UTF8\n '
data = self._wait_event(evt)
self._set_last_json_result_string(data)
self.context.... | def _wait_json_result(self, evt):
' Wait for a JSON result while forwarding logs if any.\n Args:\n evt: Event to wait for\n Returns:\n JSON solution string, decoded from UTF8\n '
data = self._wait_event(evt)
self._set_last_json_result_string(data)
self.context.... |
ef2e354219d527cad6919d0b3efbc05224065bc9163bc44b45303a463c44be64 | def _write_message(self, cid, data=None):
' Write a message to the solver process\n Args:\n cid: Command name\n data: Data to write, already encoded in UTF8 if required\n '
stime = time.time()
cid = cid.encode('utf-8')
if is_string(data):
data = data.encode... | Write a message to the solver process
Args:
cid: Command name
data: Data to write, already encoded in UTF8 if required | venv/Lib/site-packages/docplex/cp/solver/solver_local.py | _write_message | Infinity8sailor/Quantum-CERN | 1 | python | def _write_message(self, cid, data=None):
' Write a message to the solver process\n Args:\n cid: Command name\n data: Data to write, already encoded in UTF8 if required\n '
stime = time.time()
cid = cid.encode('utf-8')
if is_string(data):
data = data.encode... | def _write_message(self, cid, data=None):
' Write a message to the solver process\n Args:\n cid: Command name\n data: Data to write, already encoded in UTF8 if required\n '
stime = time.time()
cid = cid.encode('utf-8')
if is_string(data):
data = data.encode... |
a394fd67ca9cf1baf44362981f62cfc2179884074c69242c9410a7c3908cbb30 | def _read_message(self):
' Read a message from the solver process\n Returns:\n Tuple (evt, data)\n '
frame = self._read_frame(6)
if ((frame[0] != 202) or (frame[1] != 254)):
erline = (frame + self._read_error_message())
erline = erline.decode()
self.end()
... | Read a message from the solver process
Returns:
Tuple (evt, data) | venv/Lib/site-packages/docplex/cp/solver/solver_local.py | _read_message | Infinity8sailor/Quantum-CERN | 1 | python | def _read_message(self):
' Read a message from the solver process\n Returns:\n Tuple (evt, data)\n '
frame = self._read_frame(6)
if ((frame[0] != 202) or (frame[1] != 254)):
erline = (frame + self._read_error_message())
erline = erline.decode()
self.end()
... | def _read_message(self):
' Read a message from the solver process\n Returns:\n Tuple (evt, data)\n '
frame = self._read_frame(6)
if ((frame[0] != 202) or (frame[1] != 254)):
erline = (frame + self._read_error_message())
erline = erline.decode()
self.end()
... |
e6212817ffcbaddd7dd10004218df6f68e8eeb02e7c3c61f04f09ff99b3b76bc | def _read_frame(self, nbb):
' Read a byte frame from input stream\n Args:\n nbb: Number of bytes to read\n Returns:\n Byte array\n '
data = self.pin.read(nbb)
if (len(data) != nbb):
if (len(data) == 0):
if (self.process_infos.get(CpoProcessInfo... | Read a byte frame from input stream
Args:
nbb: Number of bytes to read
Returns:
Byte array | venv/Lib/site-packages/docplex/cp/solver/solver_local.py | _read_frame | Infinity8sailor/Quantum-CERN | 1 | python | def _read_frame(self, nbb):
' Read a byte frame from input stream\n Args:\n nbb: Number of bytes to read\n Returns:\n Byte array\n '
data = self.pin.read(nbb)
if (len(data) != nbb):
if (len(data) == 0):
if (self.process_infos.get(CpoProcessInfo... | def _read_frame(self, nbb):
' Read a byte frame from input stream\n Args:\n nbb: Number of bytes to read\n Returns:\n Byte array\n '
data = self.pin.read(nbb)
if (len(data) != nbb):
if (len(data) == 0):
if (self.process_infos.get(CpoProcessInfo... |
e834c5008d48160d8056e849070d147364f5c887d3b3452627940c31fdcee33e | def _read_error_message(self):
' Read stream to search for error line end. Called when wrong input is detected,\n to try to read an "Assertion failed" message for example.\n Returns:\n Byte array\n '
data = []
bv = self.pin.read(1)
if IS_PYTHON_2:
while ((bv != ''... | Read stream to search for error line end. Called when wrong input is detected,
to try to read an "Assertion failed" message for example.
Returns:
Byte array | venv/Lib/site-packages/docplex/cp/solver/solver_local.py | _read_error_message | Infinity8sailor/Quantum-CERN | 1 | python | def _read_error_message(self):
' Read stream to search for error line end. Called when wrong input is detected,\n to try to read an "Assertion failed" message for example.\n Returns:\n Byte array\n '
data = []
bv = self.pin.read(1)
if IS_PYTHON_2:
while ((bv != ) ... | def _read_error_message(self):
' Read stream to search for error line end. Called when wrong input is detected,\n to try to read an "Assertion failed" message for example.\n Returns:\n Byte array\n '
data = []
bv = self.pin.read(1)
if IS_PYTHON_2:
while ((bv != ) ... |
e46d7a2298c948de3be8b73f95e356b19161bb195f025d4b6a61f3b20c63f463 | def _send_model_to_solver(self, cpostr):
' Send the model to the solver.\n\n Args:\n copstr: String containing the model in CPO format\n '
self._write_message(CMD_SET_CPO_MODEL, cpostr)
self._wait_json_result(EVT_SUCCESS) | Send the model to the solver.
Args:
copstr: String containing the model in CPO format | venv/Lib/site-packages/docplex/cp/solver/solver_local.py | _send_model_to_solver | Infinity8sailor/Quantum-CERN | 1 | python | def _send_model_to_solver(self, cpostr):
' Send the model to the solver.\n\n Args:\n copstr: String containing the model in CPO format\n '
self._write_message(CMD_SET_CPO_MODEL, cpostr)
self._wait_json_result(EVT_SUCCESS) | def _send_model_to_solver(self, cpostr):
' Send the model to the solver.\n\n Args:\n copstr: String containing the model in CPO format\n '
self._write_message(CMD_SET_CPO_MODEL, cpostr)
self._wait_json_result(EVT_SUCCESS)<|docstring|>Send the model to the solver.
Args:
copstr:... |
96ba670e8d9a17f017ce2039ab7e6ae9ede1741f3606206d65141cccede88448 | def _add_callback_processing(self):
' Add the processing of solver callback.\n '
aver = self.version_info.get('AngelVersion', 0)
if (aver < 8):
raise CpoSolverException('This version of the CPO solver angel ({}) does not support solver callbacks.'.format(aver))
self._write_message(CMD_ADD... | Add the processing of solver callback. | venv/Lib/site-packages/docplex/cp/solver/solver_local.py | _add_callback_processing | Infinity8sailor/Quantum-CERN | 1 | python | def _add_callback_processing(self):
' \n '
aver = self.version_info.get('AngelVersion', 0)
if (aver < 8):
raise CpoSolverException('This version of the CPO solver angel ({}) does not support solver callbacks.'.format(aver))
self._write_message(CMD_ADD_CALLBACK)
self._wait_event(EVT_SU... | def _add_callback_processing(self):
' \n '
aver = self.version_info.get('AngelVersion', 0)
if (aver < 8):
raise CpoSolverException('This version of the CPO solver angel ({}) does not support solver callbacks.'.format(aver))
self._write_message(CMD_ADD_CALLBACK)
self._wait_event(EVT_SU... |
5700c1e2e002afba451a44bef5add284df23723e9361f3802b24f093f59ad60b | def _require_openssl():
'Check that ``openssl`` is on the PATH.\n\n Assumes :func:`_require_py` has been checked.\n '
if (py.path.local.sysfind('openssl') is None):
msg = '``openssl`` command line tool must be installed.'
print(msg, file=sys.stderr)
sys.exit(1) | Check that ``openssl`` is on the PATH.
Assumes :func:`_require_py` has been checked. | convert_key.py | _require_openssl | dhermes/google-cloud-python-on-gae | 0 | python | def _require_openssl():
'Check that ``openssl`` is on the PATH.\n\n Assumes :func:`_require_py` has been checked.\n '
if (py.path.local.sysfind('openssl') is None):
msg = '``openssl`` command line tool must be installed.'
print(msg, file=sys.stderr)
sys.exit(1) | def _require_openssl():
'Check that ``openssl`` is on the PATH.\n\n Assumes :func:`_require_py` has been checked.\n '
if (py.path.local.sysfind('openssl') is None):
msg = '``openssl`` command line tool must be installed.'
print(msg, file=sys.stderr)
sys.exit(1)<|docstring|>Check th... |
54413d9c0fbda04b23b88a4a70b997c20b0a8e9cd8bff73fce24329ac9bbf76c | def _pkcs8_filename(pkcs8_pem, base):
'Create / check a PKCS#8 file.\n\n Exits with 1 if the file already exists and differs from\n ``pkcs8_pem``. If the file does not exists, creates it with\n ``pkcs8_pem`` as contents and sets permissions to 0400.\n\n Args:\n pkcs8_pem (str): The contents to be... | Create / check a PKCS#8 file.
Exits with 1 if the file already exists and differs from
``pkcs8_pem``. If the file does not exists, creates it with
``pkcs8_pem`` as contents and sets permissions to 0400.
Args:
pkcs8_pem (str): The contents to be stored (or checked).
base (str): The base file path (without exte... | convert_key.py | _pkcs8_filename | dhermes/google-cloud-python-on-gae | 0 | python | def _pkcs8_filename(pkcs8_pem, base):
'Create / check a PKCS#8 file.\n\n Exits with 1 if the file already exists and differs from\n ``pkcs8_pem``. If the file does not exists, creates it with\n ``pkcs8_pem`` as contents and sets permissions to 0400.\n\n Args:\n pkcs8_pem (str): The contents to be... | def _pkcs8_filename(pkcs8_pem, base):
'Create / check a PKCS#8 file.\n\n Exits with 1 if the file already exists and differs from\n ``pkcs8_pem``. If the file does not exists, creates it with\n ``pkcs8_pem`` as contents and sets permissions to 0400.\n\n Args:\n pkcs8_pem (str): The contents to be... |
d53e4c4f7acb6c286de441865780a46c43afc7dfb8449459b490c5f4e7081b04 | def _pkcs1_verify(pkcs8_filename, pkcs1_filename):
'Verify the contents of an existing PKCS#1 file.\n\n Does so by using ``openssl rsa`` to print to stdout and\n then checking against contents.\n\n Exits with 1 if:\n\n * The ``openssl`` command fails\n * The ``pkcs1_filename`` contents differ from wh... | Verify the contents of an existing PKCS#1 file.
Does so by using ``openssl rsa`` to print to stdout and
then checking against contents.
Exits with 1 if:
* The ``openssl`` command fails
* The ``pkcs1_filename`` contents differ from what was produced
by ``openssl``
Args:
pkcs8_filename (str): The PKCS#8 file to... | convert_key.py | _pkcs1_verify | dhermes/google-cloud-python-on-gae | 0 | python | def _pkcs1_verify(pkcs8_filename, pkcs1_filename):
'Verify the contents of an existing PKCS#1 file.\n\n Does so by using ``openssl rsa`` to print to stdout and\n then checking against contents.\n\n Exits with 1 if:\n\n * The ``openssl`` command fails\n * The ``pkcs1_filename`` contents differ from wh... | def _pkcs1_verify(pkcs8_filename, pkcs1_filename):
'Verify the contents of an existing PKCS#1 file.\n\n Does so by using ``openssl rsa`` to print to stdout and\n then checking against contents.\n\n Exits with 1 if:\n\n * The ``openssl`` command fails\n * The ``pkcs1_filename`` contents differ from wh... |
d0e03c4d37929592a2e405281a96e746718459f2d61beed7e846c4c2579f6c6e | def _pkcs1_create(pkcs8_filename, pkcs1_filename):
'Create a existing PKCS#1 file from a PKCS#8 file.\n\n Does so by using ``openssl rsa -in * -out *``.\n\n Exits with 1 if the ``openssl`` command fails.\n\n Args:\n pkcs8_filename (str): The PKCS#8 file to be converted.\n pkcs1_filename (str)... | Create a existing PKCS#1 file from a PKCS#8 file.
Does so by using ``openssl rsa -in * -out *``.
Exits with 1 if the ``openssl`` command fails.
Args:
pkcs8_filename (str): The PKCS#8 file to be converted.
pkcs1_filename (str): The PKCS#1 file to be created. | convert_key.py | _pkcs1_create | dhermes/google-cloud-python-on-gae | 0 | python | def _pkcs1_create(pkcs8_filename, pkcs1_filename):
'Create a existing PKCS#1 file from a PKCS#8 file.\n\n Does so by using ``openssl rsa -in * -out *``.\n\n Exits with 1 if the ``openssl`` command fails.\n\n Args:\n pkcs8_filename (str): The PKCS#8 file to be converted.\n pkcs1_filename (str)... | def _pkcs1_create(pkcs8_filename, pkcs1_filename):
'Create a existing PKCS#1 file from a PKCS#8 file.\n\n Does so by using ``openssl rsa -in * -out *``.\n\n Exits with 1 if the ``openssl`` command fails.\n\n Args:\n pkcs8_filename (str): The PKCS#8 file to be converted.\n pkcs1_filename (str)... |
85cf99de762a9652ece190be9466a3e4b5f52805ac15e5ccd44f1c71eb98f9a9 | def transcribe(fp, decoder):
'\n Performs STT, transcribing an audio file and returning the result.\n\n Arguments:\n fp -- a file object containing audio data\n '
fp.seek(44)
data = fp.read()
decoder.start_utt()
decoder.process_raw(data, False, True)
decoder.end_utt()
result ... | Performs STT, transcribing an audio file and returning the result.
Arguments:
fp -- a file object containing audio data | jasper_test.py | transcribe | codebhendi/alfred-bot | 0 | python | def transcribe(fp, decoder):
'\n Performs STT, transcribing an audio file and returning the result.\n\n Arguments:\n fp -- a file object containing audio data\n '
fp.seek(44)
data = fp.read()
decoder.start_utt()
decoder.process_raw(data, False, True)
decoder.end_utt()
result ... | def transcribe(fp, decoder):
'\n Performs STT, transcribing an audio file and returning the result.\n\n Arguments:\n fp -- a file object containing audio data\n '
fp.seek(44)
data = fp.read()
decoder.start_utt()
decoder.process_raw(data, False, True)
decoder.end_utt()
result ... |
508c6737808bf43ed5d3150d737afb0e8d17bad5f56b9a69bda5804b933b15ee | def generate_CompetitionSince(all_data: pd.DataFrame, drop=True):
"Generate (inplace) a feature 'CompetitionSince' which counts the months (in integer) since\n when the competition started.\n Fills missing values with -1000.\n Creates a new boolean column 'Competition_missing' highlighting the missing valu... | Generate (inplace) a feature 'CompetitionSince' which counts the months (in integer) since
when the competition started.
Fills missing values with -1000.
Creates a new boolean column 'Competition_missing' highlighting the missing values. | feature_engineering.py | generate_CompetitionSince | ChristopherSD/dsr-minicomp | 0 | python | def generate_CompetitionSince(all_data: pd.DataFrame, drop=True):
"Generate (inplace) a feature 'CompetitionSince' which counts the months (in integer) since\n when the competition started.\n Fills missing values with -1000.\n Creates a new boolean column 'Competition_missing' highlighting the missing valu... | def generate_CompetitionSince(all_data: pd.DataFrame, drop=True):
"Generate (inplace) a feature 'CompetitionSince' which counts the months (in integer) since\n when the competition started.\n Fills missing values with -1000.\n Creates a new boolean column 'Competition_missing' highlighting the missing valu... |
4bd87e0f8abb556ec7e166a9ce3fbfdbccb98e3a939994b7ce5734208e7ed646 | def one_hot_encoder_fit_transform(df: pd.DataFrame, col_name: str):
'\n Function to fit and transform column in DataFrame with OneHotEncoder\n\n Args:\n df - DataFrame to transform\n col_name: name of the column that has to be transformed\n Returns:\n input DataFrame with concatenated,... | Function to fit and transform column in DataFrame with OneHotEncoder
Args:
df - DataFrame to transform
col_name: name of the column that has to be transformed
Returns:
input DataFrame with concatenated, transformed column | feature_engineering.py | one_hot_encoder_fit_transform | ChristopherSD/dsr-minicomp | 0 | python | def one_hot_encoder_fit_transform(df: pd.DataFrame, col_name: str):
'\n Function to fit and transform column in DataFrame with OneHotEncoder\n\n Args:\n df - DataFrame to transform\n col_name: name of the column that has to be transformed\n Returns:\n input DataFrame with concatenated,... | def one_hot_encoder_fit_transform(df: pd.DataFrame, col_name: str):
'\n Function to fit and transform column in DataFrame with OneHotEncoder\n\n Args:\n df - DataFrame to transform\n col_name: name of the column that has to be transformed\n Returns:\n input DataFrame with concatenated,... |
6da5840082e646830a3039eb63ef0a29f37aca2e7370530fba15cd0885fb3ad9 | def one_hot_encoder_transform(df: pd.DataFrame, col_name: str, enc):
'\n Function to fit and transform column in DataFrame with OneHotEncoder\n\n Args:\n df: DataFrame to transform\n col_name: name of the column that has to be transformed\n enc: instance of fitted OneHotEncoder\n Retur... | Function to fit and transform column in DataFrame with OneHotEncoder
Args:
df: DataFrame to transform
col_name: name of the column that has to be transformed
enc: instance of fitted OneHotEncoder
Returns:
input DataFrame with concatenated, transformed column | feature_engineering.py | one_hot_encoder_transform | ChristopherSD/dsr-minicomp | 0 | python | def one_hot_encoder_transform(df: pd.DataFrame, col_name: str, enc):
'\n Function to fit and transform column in DataFrame with OneHotEncoder\n\n Args:\n df: DataFrame to transform\n col_name: name of the column that has to be transformed\n enc: instance of fitted OneHotEncoder\n Retur... | def one_hot_encoder_transform(df: pd.DataFrame, col_name: str, enc):
'\n Function to fit and transform column in DataFrame with OneHotEncoder\n\n Args:\n df: DataFrame to transform\n col_name: name of the column that has to be transformed\n enc: instance of fitted OneHotEncoder\n Retur... |
50a1cb2d99cd10bf6c0d0a6cf83cc6747abc48cb72efc28704c7955cd0643883 | def is_StateHoliday(df):
'Generates a new boolean column, if it is a StateHoliday or not\n '
return (((df.StateHoliday == 'a') | (df.StateHoliday == 'b')) | (df.StateHoliday == 'c')) | Generates a new boolean column, if it is a StateHoliday or not | feature_engineering.py | is_StateHoliday | ChristopherSD/dsr-minicomp | 0 | python | def is_StateHoliday(df):
'\n '
return (((df.StateHoliday == 'a') | (df.StateHoliday == 'b')) | (df.StateHoliday == 'c')) | def is_StateHoliday(df):
'\n '
return (((df.StateHoliday == 'a') | (df.StateHoliday == 'b')) | (df.StateHoliday == 'c'))<|docstring|>Generates a new boolean column, if it is a StateHoliday or not<|endoftext|> |
165949eb107c9cdbc8323628a6566047b6d428bef4ba32fd53d3f747529bcff4 | def is_SchoolHoliday(df):
'Generates a new boolean column, if it is a StateHoliday or not\n '
return ((((df.SchoolHoliday == '1') | (df.SchoolHoliday == 1)) | (df.SchoolHoliday == '1.0')) | (df.SchoolHoliday == 1.0)) | Generates a new boolean column, if it is a StateHoliday or not | feature_engineering.py | is_SchoolHoliday | ChristopherSD/dsr-minicomp | 0 | python | def is_SchoolHoliday(df):
'\n '
return ((((df.SchoolHoliday == '1') | (df.SchoolHoliday == 1)) | (df.SchoolHoliday == '1.0')) | (df.SchoolHoliday == 1.0)) | def is_SchoolHoliday(df):
'\n '
return ((((df.SchoolHoliday == '1') | (df.SchoolHoliday == 1)) | (df.SchoolHoliday == '1.0')) | (df.SchoolHoliday == 1.0))<|docstring|>Generates a new boolean column, if it is a StateHoliday or not<|endoftext|> |
64a1b2c1b057d20523727c87388c1e8fca88e8ac527f456aa9110edf02f7db8f | def log_transform(inp: pd.Series):
'\n Function to log transform - takes care of negative and 0 values.\n\n Args:\n inp - pd.Series to log transform\n Returns:\n transformed pd.Series\n '
x = pd.Series()
x = ((inp - inp.min()) + 1)
return np.log(x) | Function to log transform - takes care of negative and 0 values.
Args:
inp - pd.Series to log transform
Returns:
transformed pd.Series | feature_engineering.py | log_transform | ChristopherSD/dsr-minicomp | 0 | python | def log_transform(inp: pd.Series):
'\n Function to log transform - takes care of negative and 0 values.\n\n Args:\n inp - pd.Series to log transform\n Returns:\n transformed pd.Series\n '
x = pd.Series()
x = ((inp - inp.min()) + 1)
return np.log(x) | def log_transform(inp: pd.Series):
'\n Function to log transform - takes care of negative and 0 values.\n\n Args:\n inp - pd.Series to log transform\n Returns:\n transformed pd.Series\n '
x = pd.Series()
x = ((inp - inp.min()) + 1)
return np.log(x)<|docstring|>Function to log t... |
a78b252ffb0944b77676d1b12eb431b65a4bf353c9121b01a3edb777e4227d68 | def generate_PromoStarted(all_data: pd.DataFrame, drop=True, itvl_col='PromoInterval'):
"Generate (inplace) a feature 'CompetitionSince' which counts the months (in integer) since\n when the competition started.\n "
new_col_name = 'PromoStarted'
promo_started = all_data.apply(is_in_promo_month, axis=1... | Generate (inplace) a feature 'CompetitionSince' which counts the months (in integer) since
when the competition started. | feature_engineering.py | generate_PromoStarted | ChristopherSD/dsr-minicomp | 0 | python | def generate_PromoStarted(all_data: pd.DataFrame, drop=True, itvl_col='PromoInterval'):
"Generate (inplace) a feature 'CompetitionSince' which counts the months (in integer) since\n when the competition started.\n "
new_col_name = 'PromoStarted'
promo_started = all_data.apply(is_in_promo_month, axis=1... | def generate_PromoStarted(all_data: pd.DataFrame, drop=True, itvl_col='PromoInterval'):
"Generate (inplace) a feature 'CompetitionSince' which counts the months (in integer) since\n when the competition started.\n "
new_col_name = 'PromoStarted'
promo_started = all_data.apply(is_in_promo_month, axis=1... |
dcc61565b9d85ec221badedd94e73a05716d08793a939a11658092e56e267fe5 | def generate_Promo2SinceNWeeks(all_data: pd.DataFrame, drop=True):
"Generate (inplace) a feature 'Promo2SinceNWeeks' which counts the weeks (in integer) since\n when a Promo2 started.\n Fills missing values with -1000.\n Creates a new boolean column 'Promo2SinceNWeeks_missing' highlighting the missing valu... | Generate (inplace) a feature 'Promo2SinceNWeeks' which counts the weeks (in integer) since
when a Promo2 started.
Fills missing values with -1000.
Creates a new boolean column 'Promo2SinceNWeeks_missing' highlighting the missing values. | feature_engineering.py | generate_Promo2SinceNWeeks | ChristopherSD/dsr-minicomp | 0 | python | def generate_Promo2SinceNWeeks(all_data: pd.DataFrame, drop=True):
"Generate (inplace) a feature 'Promo2SinceNWeeks' which counts the weeks (in integer) since\n when a Promo2 started.\n Fills missing values with -1000.\n Creates a new boolean column 'Promo2SinceNWeeks_missing' highlighting the missing valu... | def generate_Promo2SinceNWeeks(all_data: pd.DataFrame, drop=True):
"Generate (inplace) a feature 'Promo2SinceNWeeks' which counts the weeks (in integer) since\n when a Promo2 started.\n Fills missing values with -1000.\n Creates a new boolean column 'Promo2SinceNWeeks_missing' highlighting the missing valu... |
0c19440ed5ff0c63111ffe6d684a3c6a943097f645b1f78a4ad366543f6fcf21 | def generate_col_month(df):
'Generates a new feature "month"\n '
month = df.Date.dt.month
return month | Generates a new feature "month" | feature_engineering.py | generate_col_month | ChristopherSD/dsr-minicomp | 0 | python | def generate_col_month(df):
'\n '
month = df.Date.dt.month
return month | def generate_col_month(df):
'\n '
month = df.Date.dt.month
return month<|docstring|>Generates a new feature "month"<|endoftext|> |
ff742b6e4c8e42cd97c7d9a57057129a9653e2a67711661418ee1f03164a6856 | def target_encode_Stores(df, enc=None):
'Target encode the Store variable using the category_encoders module\n\n Args:\n df: Data\n enc: Existing Encoder / if None retrain new encoder\n '
target = df['Sales'].values
stores = df['Store'].astype(str)
if (not enc):
print('Fit Ta... | Target encode the Store variable using the category_encoders module
Args:
df: Data
enc: Existing Encoder / if None retrain new encoder | feature_engineering.py | target_encode_Stores | ChristopherSD/dsr-minicomp | 0 | python | def target_encode_Stores(df, enc=None):
'Target encode the Store variable using the category_encoders module\n\n Args:\n df: Data\n enc: Existing Encoder / if None retrain new encoder\n '
target = df['Sales'].values
stores = df['Store'].astype(str)
if (not enc):
print('Fit Ta... | def target_encode_Stores(df, enc=None):
'Target encode the Store variable using the category_encoders module\n\n Args:\n df: Data\n enc: Existing Encoder / if None retrain new encoder\n '
target = df['Sales'].values
stores = df['Store'].astype(str)
if (not enc):
print('Fit Ta... |
73da9aa9963ac63a0c695117408263d7f183d0c9b54022e45ed7ddc2487c4398 | def target_encode_custom(df: pd.DataFrame, name: str, enc=None):
'Target encode the Store variable using the category_encoders module\n\n Args:\n df: Data\n name (str): name of the column to encode\n enc: Existing Encoder / if None retrain new encoder\n '
target = df['Sales'].values
... | Target encode the Store variable using the category_encoders module
Args:
df: Data
name (str): name of the column to encode
enc: Existing Encoder / if None retrain new encoder | feature_engineering.py | target_encode_custom | ChristopherSD/dsr-minicomp | 0 | python | def target_encode_custom(df: pd.DataFrame, name: str, enc=None):
'Target encode the Store variable using the category_encoders module\n\n Args:\n df: Data\n name (str): name of the column to encode\n enc: Existing Encoder / if None retrain new encoder\n '
target = df['Sales'].values
... | def target_encode_custom(df: pd.DataFrame, name: str, enc=None):
'Target encode the Store variable using the category_encoders module\n\n Args:\n df: Data\n name (str): name of the column to encode\n enc: Existing Encoder / if None retrain new encoder\n '
target = df['Sales'].values
... |
c00f0e978d084a3ea0fe4845ef49fd8d1f1ec7697013944c70a0108d7ae8ebb3 | def generate_cyclic_feature_month(df):
'Generates a new feature "month"\n '
sin_month = np.sin((((df.Date.dt.month / 12) * 2) * np.pi))
cos_month = np.cos((((df.Date.dt.month / 12) * 2) * np.pi))
sin_month = sin_month.reindex(df.index)
cos_month = cos_month.reindex(df.index)
return (sin_month... | Generates a new feature "month" | feature_engineering.py | generate_cyclic_feature_month | ChristopherSD/dsr-minicomp | 0 | python | def generate_cyclic_feature_month(df):
'\n '
sin_month = np.sin((((df.Date.dt.month / 12) * 2) * np.pi))
cos_month = np.cos((((df.Date.dt.month / 12) * 2) * np.pi))
sin_month = sin_month.reindex(df.index)
cos_month = cos_month.reindex(df.index)
return (sin_month, cos_month) | def generate_cyclic_feature_month(df):
'\n '
sin_month = np.sin((((df.Date.dt.month / 12) * 2) * np.pi))
cos_month = np.cos((((df.Date.dt.month / 12) * 2) * np.pi))
sin_month = sin_month.reindex(df.index)
cos_month = cos_month.reindex(df.index)
return (sin_month, cos_month)<|docstring|>Genera... |
49df06f2f337e0cba0c08326a7be31046c25267c603f5d81c16cdca3eecd22f1 | def generate_cyclic_feature_week(df):
'Generates a new feature "week"\n '
sin_week = np.sin((((df.Date.dt.week / 52) * 2) * np.pi))
cos_week = np.cos((((df.Date.dt.week / 52) * 2) * np.pi))
sin_week = sin_week.reindex(df.index)
cos_week = cos_week.reindex(df.index)
return (sin_week, cos_week) | Generates a new feature "week" | feature_engineering.py | generate_cyclic_feature_week | ChristopherSD/dsr-minicomp | 0 | python | def generate_cyclic_feature_week(df):
'\n '
sin_week = np.sin((((df.Date.dt.week / 52) * 2) * np.pi))
cos_week = np.cos((((df.Date.dt.week / 52) * 2) * np.pi))
sin_week = sin_week.reindex(df.index)
cos_week = cos_week.reindex(df.index)
return (sin_week, cos_week) | def generate_cyclic_feature_week(df):
'\n '
sin_week = np.sin((((df.Date.dt.week / 52) * 2) * np.pi))
cos_week = np.cos((((df.Date.dt.week / 52) * 2) * np.pi))
sin_week = sin_week.reindex(df.index)
cos_week = cos_week.reindex(df.index)
return (sin_week, cos_week)<|docstring|>Generates a new f... |
1ebaa270c20b3b515317feb1c9d76ccfc8589ecd03249e4a3658dd312430579e | def my_impute_data(data):
"Custom function for Michael's Model\n "
df = data.copy()
df.Promo2.fillna('unknown', inplace=True)
impute_competition_distance = df.CompetitionDistance.median()
df.CompetitionDistance.fillna(impute_competition_distance, inplace=True)
generate_CompetitionSince(df)
... | Custom function for Michael's Model | feature_engineering.py | my_impute_data | ChristopherSD/dsr-minicomp | 0 | python | def my_impute_data(data):
"\n "
df = data.copy()
df.Promo2.fillna('unknown', inplace=True)
impute_competition_distance = df.CompetitionDistance.median()
df.CompetitionDistance.fillna(impute_competition_distance, inplace=True)
generate_CompetitionSince(df)
generate_Promo2SinceNWeeks(df)
... | def my_impute_data(data):
"\n "
df = data.copy()
df.Promo2.fillna('unknown', inplace=True)
impute_competition_distance = df.CompetitionDistance.median()
df.CompetitionDistance.fillna(impute_competition_distance, inplace=True)
generate_CompetitionSince(df)
generate_Promo2SinceNWeeks(df)
... |
81f899948c53fd98c8dfdd5f67dc8d0c7e20a104e798c04e49e85cfd833738ff | def massive_onehot(input_df, enc=None):
"Apply OnehotEncoder to columns:\n 'Promo', 'SchoolHoliday', 'StateHoliday', 'StoreType', 'Assortment', 'Promo2'\n "
data = input_df.copy()
cat_features = ['Promo', 'SchoolHoliday', 'StateHoliday', 'StoreType', 'Assortment', 'Promo2']
for c in cat_features:
... | Apply OnehotEncoder to columns:
'Promo', 'SchoolHoliday', 'StateHoliday', 'StoreType', 'Assortment', 'Promo2' | feature_engineering.py | massive_onehot | ChristopherSD/dsr-minicomp | 0 | python | def massive_onehot(input_df, enc=None):
"Apply OnehotEncoder to columns:\n 'Promo', 'SchoolHoliday', 'StateHoliday', 'StoreType', 'Assortment', 'Promo2'\n "
data = input_df.copy()
cat_features = ['Promo', 'SchoolHoliday', 'StateHoliday', 'StoreType', 'Assortment', 'Promo2']
for c in cat_features:
... | def massive_onehot(input_df, enc=None):
"Apply OnehotEncoder to columns:\n 'Promo', 'SchoolHoliday', 'StateHoliday', 'StoreType', 'Assortment', 'Promo2'\n "
data = input_df.copy()
cat_features = ['Promo', 'SchoolHoliday', 'StateHoliday', 'StoreType', 'Assortment', 'Promo2']
for c in cat_features:
... |
0fbf4d1bc6844db3dcad3db163d75bf74cfa33fcffcf12efd7f7b395647178c7 | def my_preprocess_data(data, oneh_enc=None, target_enc=None):
" Data preprocessing function for Michael's Model\n "
data = create_basetable(data)
data = my_impute_data(data)
(data, oneh_enc) = massive_onehot(data, oneh_enc)
(new_store, target_enc) = target_encode_Stores(data, target_enc)
(sin... | Data preprocessing function for Michael's Model | feature_engineering.py | my_preprocess_data | ChristopherSD/dsr-minicomp | 0 | python | def my_preprocess_data(data, oneh_enc=None, target_enc=None):
" \n "
data = create_basetable(data)
data = my_impute_data(data)
(data, oneh_enc) = massive_onehot(data, oneh_enc)
(new_store, target_enc) = target_encode_Stores(data, target_enc)
(sin_month, cos_month) = generate_cyclic_feature_mo... | def my_preprocess_data(data, oneh_enc=None, target_enc=None):
" \n "
data = create_basetable(data)
data = my_impute_data(data)
(data, oneh_enc) = massive_onehot(data, oneh_enc)
(new_store, target_enc) = target_encode_Stores(data, target_enc)
(sin_month, cos_month) = generate_cyclic_feature_mo... |
f88027b082a39984d0da0ee03f0fc3fef33b0c65838f88804d5c707910eb9d3e | def prepare_data_for_model_ti():
"\n Data pre-processing for Tom's model\n "
train_vars = ['DayOfWeek', 'Promo', 'StateHoliday', 'SchoolHoliday', 'StoreType', 'Assortment', 'Promo2', 'Competition_missing', 'Promo2SinceNWeeks_missing', 'PromoStarted', 'Store', 'sin_week', 'cos_week', 'sin_month', 'cos_mont... | Data pre-processing for Tom's model | feature_engineering.py | prepare_data_for_model_ti | ChristopherSD/dsr-minicomp | 0 | python | def prepare_data_for_model_ti():
"\n \n "
train_vars = ['DayOfWeek', 'Promo', 'StateHoliday', 'SchoolHoliday', 'StoreType', 'Assortment', 'Promo2', 'Competition_missing', 'Promo2SinceNWeeks_missing', 'PromoStarted', 'Store', 'sin_week', 'cos_week', 'sin_month', 'cos_month', 'Customers_log', 'CompetitionDi... | def prepare_data_for_model_ti():
"\n \n "
train_vars = ['DayOfWeek', 'Promo', 'StateHoliday', 'SchoolHoliday', 'StoreType', 'Assortment', 'Promo2', 'Competition_missing', 'Promo2SinceNWeeks_missing', 'PromoStarted', 'Store', 'sin_week', 'cos_week', 'sin_month', 'cos_month', 'Customers_log', 'CompetitionDi... |
d2c6c47edc2f071e7f97214d557796821f32d0b0a39ca7863f7dd47cddf59e0e | def custom_transformer_ti(df):
"\n Pre-processing pipeline for Tom's model\n "
col_to_str = ['Promo', 'StateHoliday', 'SchoolHoliday', 'StoreType', 'Assortment', 'Promo2']
col_to_log_transform = ['Customers', 'CompetitionDistance', 'CompetitionSince', 'Promo2SinceNWeeks']
generate_CompetitionSince... | Pre-processing pipeline for Tom's model | feature_engineering.py | custom_transformer_ti | ChristopherSD/dsr-minicomp | 0 | python | def custom_transformer_ti(df):
"\n \n "
col_to_str = ['Promo', 'StateHoliday', 'SchoolHoliday', 'StoreType', 'Assortment', 'Promo2']
col_to_log_transform = ['Customers', 'CompetitionDistance', 'CompetitionSince', 'Promo2SinceNWeeks']
generate_CompetitionSince(df)
generate_Promo2SinceNWeeks(df)... | def custom_transformer_ti(df):
"\n \n "
col_to_str = ['Promo', 'StateHoliday', 'SchoolHoliday', 'StoreType', 'Assortment', 'Promo2']
col_to_log_transform = ['Customers', 'CompetitionDistance', 'CompetitionSince', 'Promo2SinceNWeeks']
generate_CompetitionSince(df)
generate_Promo2SinceNWeeks(df)... |
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