uid stringlengths 24 24 | split stringclasses 1
value | category stringclasses 2
values | content stringlengths 5 482k | signature stringlengths 1 14k | suffix stringlengths 1 482k | prefix stringlengths 9 14k | prefix_token_count int64 3 5.01k | prefix_token_budget int64 64 256 | element_token_count int64 1 292k | signature_token_count int64 1 5.01k | prefix_context_token_count int64 0 255 | repo stringlengths 7 112 | path stringlengths 4 208 | language stringclasses 1
value | name stringlengths 1 218 | qualname stringlengths 1 218 | start_line int64 1 26.7k | end_line int64 1 26.7k | signature_start_line int64 1 26.7k | signature_end_line int64 1 26.7k | source_hash stringlengths 40 40 | source_dataset stringclasses 1
value | source_split stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
31081d27f184cbbf92ef6f86 | train | class | class NTxHash(Enum):
mainnet = Hash32.fromhex("0x5aa2453a84ba2fb1e3394b9e3471f5dcebc6225fc311a97ca505728153b9d246")
testnet = Hash32.fromhex("0x5a7ce1e10a6fd5fb3925a011528f89a5debfead2405f5545a99d1a1310e48c9e")
| class NTxHash(Enum):
| mainnet = Hash32.fromhex("0x5aa2453a84ba2fb1e3394b9e3471f5dcebc6225fc311a97ca505728153b9d246")
testnet = Hash32.fromhex("0x5a7ce1e10a6fd5fb3925a011528f89a5debfead2405f5545a99d1a1310e48c9e")
| setattr__(self, "nid", nid)
object.__setattr__(self, "accounts", tuple(accounts))
object.__setattr__(self, "message", message)
@property
def signer_address(self) -> 'ExternalAddress':
raise NotImplementedError
class NTxHash(Enum):
| 64 | 64 | 108 | 6 | 57 | windies21/loopchain | loopchain/blockchain/transactions/genesis/transaction.py | Python | NTxHash | NTxHash | 32 | 34 | 32 | 32 | 8c206ad27246f5ff69ceab8be5dbd4533f2aa202 | bigcode/the-stack | train |
9fabf7813337f0f7f41f76bb | train | class | @dataclass(frozen=True)
class Transaction(BaseTransition):
nid: int
accounts: tuple
message: str
version = "genesis"
def __init__(self, raw_data: dict, hash: 'Hash32', signature: Union['Signature', None], timestamp: int,
nid: int, accounts: list, message: str):
super().__i... | @dataclass(frozen=True)
class Transaction(BaseTransition):
| nid: int
accounts: tuple
message: str
version = "genesis"
def __init__(self, raw_data: dict, hash: 'Hash32', signature: Union['Signature', None], timestamp: int,
nid: int, accounts: list, message: str):
super().__init__(raw_data, hash, signature, timestamp)
object... | import dataclass
from typing import TYPE_CHECKING, Union
from loopchain.blockchain.types import Hash32
from loopchain.blockchain.transactions import Transaction as BaseTransition
if TYPE_CHECKING:
from loopchain.blockchain.types import Signature, ExternalAddress
@dataclass(frozen=True)
class Transaction(BaseTrans... | 64 | 64 | 151 | 11 | 52 | windies21/loopchain | loopchain/blockchain/transactions/genesis/transaction.py | Python | Transaction | Transaction | 11 | 29 | 11 | 12 | 8d921b670049c1771df5c4af9eeb4b47e5b34ce3 | bigcode/the-stack | train |
9a1d9629cf0c4bbf913da40f | train | class | class NID(IntEnum):
mainnet = 1
testnet = 2
unknown = 3
| class NID(IntEnum):
| mainnet = 1
testnet = 2
unknown = 3
| b9d246")
testnet = Hash32.fromhex("0x5a7ce1e10a6fd5fb3925a011528f89a5debfead2405f5545a99d1a1310e48c9e")
class NID(IntEnum):
| 64 | 64 | 26 | 6 | 58 | windies21/loopchain | loopchain/blockchain/transactions/genesis/transaction.py | Python | NID | NID | 37 | 40 | 37 | 37 | 708c925a68aec3bbf9421c07972d9602a3908c4e | bigcode/the-stack | train |
70527e24d03313080a53bd27 | train | function | def _build_viz_figure(visualization):
import dash_cytoscape as cyto
if visualization is None:
_type = "none"
figure = "null"
elif isinstance(visualization, go.Figure):
_type = "plotly"
figure = json.loads(to_json(visualization))
elif isinstance(visualization, str):
... | def _build_viz_figure(visualization):
| import dash_cytoscape as cyto
if visualization is None:
_type = "none"
figure = "null"
elif isinstance(visualization, go.Figure):
_type = "plotly"
figure = json.loads(to_json(visualization))
elif isinstance(visualization, str):
_type = "html"
figure = _bu... | ape_json(cytoscape):
json_di = {
"elements": cytoscape.elements,
"layout": cytoscape.layout,
"style": cytoscape.style,
"stylesheet": cytoscape.stylesheet,
}
return json.dumps(json_di)
def _build_viz_figure(visualization):
| 69 | 69 | 230 | 11 | 58 | PiCEulHer/interpret | python/interpret-core/interpret/visual/inline.py | Python | _build_viz_figure | _build_viz_figure | 53 | 76 | 53 | 53 | b243cf3c31bebfc3f13f3afe0915782ac3bd3c39 | bigcode/the-stack | train |
029eaff74279d52e405b5391 | train | function | def _build_viz_err_obj(err_msg):
_type = "html"
figure = _build_error_frame(err_msg)
viz_figure = {"type": _type, "figure": figure}
viz_obj = {
"name": "Error",
"overall": viz_figure,
"specific": [],
"selector": {"columns": [], "data": []},
}
return viz_obj
| def _build_viz_err_obj(err_msg):
| _type = "html"
figure = _build_error_frame(err_msg)
viz_figure = {"type": _type, "figure": figure}
viz_obj = {
"name": "Error",
"overall": viz_figure,
"specific": [],
"selector": {"columns": [], "data": []},
}
return viz_obj
| "
msg = "This visualization is not yet supported in the cloud environment."
log.debug("Visualization type cannot render: {}".format(type(visualization)))
figure = _build_error_frame(msg)
return {"type": _type, "figure": figure}
def _build_viz_err_obj(err_msg):
| 64 | 64 | 88 | 10 | 54 | PiCEulHer/interpret | python/interpret-core/interpret/visual/inline.py | Python | _build_viz_err_obj | _build_viz_err_obj | 79 | 90 | 79 | 79 | 094604292764a4943e5798bd7c34419843c61ada | bigcode/the-stack | train |
67b0171bea34a8dffcd5a65d | train | function | def _build_cytoscape_json(cytoscape):
json_di = {
"elements": cytoscape.elements,
"layout": cytoscape.layout,
"style": cytoscape.style,
"stylesheet": cytoscape.stylesheet,
}
return json.dumps(json_di)
| def _build_cytoscape_json(cytoscape):
| json_di = {
"elements": cytoscape.elements,
"layout": cytoscape.layout,
"style": cytoscape.style,
"stylesheet": cytoscape.stylesheet,
}
return json.dumps(json_di)
| _src(html_str)
def _build_base64_frame_src(html_str):
html_hex64 = base64.b64encode(html_str.encode("utf-8")).decode("ascii")
return "data:text/html;base64,{}".format(html_hex64)
def _build_cytoscape_json(cytoscape):
| 64 | 64 | 64 | 13 | 51 | PiCEulHer/interpret | python/interpret-core/interpret/visual/inline.py | Python | _build_cytoscape_json | _build_cytoscape_json | 44 | 51 | 44 | 44 | 51d195fecacef00dd15822413ee383a0acac9c82 | bigcode/the-stack | train |
66b39ba90eb069c9185ca633 | train | function | def _render_databricks(js): # pragma: no cover
import inspect
if _render_databricks.displayHTML is None:
found = False
for frame in inspect.getouterframes(inspect.currentframe()):
global_names = set(frame.frame.f_globals)
target_names = {"displayHTML", "display", "spark... | def _render_databricks(js): # pragma: no cover
| import inspect
if _render_databricks.displayHTML is None:
found = False
for frame in inspect.getouterframes(inspect.currentframe()):
global_names = set(frame.frame.f_globals)
target_names = {"displayHTML", "display", "spark"}
if target_names.issubset(global_n... | ://github.com/plotly/plotly.py/blob/01a78d3fdac14848affcd33ddc4f9ec72d475232/packages/python/plotly/plotly/io/_base_renderers.py
def _render_databricks(js): # pragma: no cover
| 64 | 64 | 149 | 15 | 48 | PiCEulHer/interpret | python/interpret-core/interpret/visual/inline.py | Python | _render_databricks | _render_databricks | 185 | 203 | 185 | 185 | 4cf5369a8ce65ba0dd6a5573eac65d9c91aee339 | bigcode/the-stack | train |
d68719c3de8033b74a7a25a1 | train | function | def _build_base64_frame_src(html_str):
html_hex64 = base64.b64encode(html_str.encode("utf-8")).decode("ascii")
return "data:text/html;base64,{}".format(html_hex64)
| def _build_base64_frame_src(html_str):
| html_hex64 = base64.b64encode(html_str.encode("utf-8")).decode("ascii")
return "data:text/html;base64,{}".format(html_hex64)
| transform: translate(-50%, -50%);
}}
</style>
<div class='center'><h1>{}</h1></div>
"""
html_str = error_template.format(msg)
return _build_base64_frame_src(html_str)
def _build_base64_frame_src(html_str):
| 64 | 64 | 47 | 10 | 54 | PiCEulHer/interpret | python/interpret-core/interpret/visual/inline.py | Python | _build_base64_frame_src | _build_base64_frame_src | 40 | 42 | 40 | 40 | abdb387360cec020f31572c12447940eec9e3f89 | bigcode/the-stack | train |
3a4a8906710f57183529427e | train | function | def _build_error_frame(msg):
error_template = r"""
<style>
.center {{
position: absolute;
left: 50%;
top: 50%;
-webkit-transform: translate(-50%, -50%);
transform: translate(-50%, -50%);
}}
</style>
<div class='center'><h1>{}</h1></div>
"""
html_st... | def _build_error_frame(msg):
| error_template = r"""
<style>
.center {{
position: absolute;
left: 50%;
top: 50%;
-webkit-transform: translate(-50%, -50%);
transform: translate(-50%, -50%);
}}
</style>
<div class='center'><h1>{}</h1></div>
"""
html_str = error_template.format(msg... | import uuid
from plotly.io import to_json
from plotly import graph_objs as go
import sys
import json
import base64
import logging
log = logging.getLogger(__name__)
this = sys.modules[__name__]
this.jupyter_initialized = False
def _build_error_frame(msg):
| 64 | 64 | 104 | 7 | 56 | PiCEulHer/interpret | python/interpret-core/interpret/visual/inline.py | Python | _build_error_frame | _build_error_frame | 23 | 37 | 23 | 23 | 71e540a1120d116c0fe8def09b1fd8279e777937 | bigcode/the-stack | train |
f82699bd00c2faf19541fa18 | train | function | def _build_javascript(viz_obj, id_str=None, default_key=-1, js_url=None):
if js_url is None:
script_path = os.path.dirname(os.path.abspath(__file__))
js_path = os.path.join(script_path, "..", "lib", "interpret-inline.js")
with open(js_path, "r", encoding="utf-8") as f:
show_js =... | def _build_javascript(viz_obj, id_str=None, default_key=-1, js_url=None):
| if js_url is None:
script_path = os.path.dirname(os.path.abspath(__file__))
js_path = os.path.join(script_path, "..", "lib", "interpret-inline.js")
with open(js_path, "r", encoding="utf-8") as f:
show_js = f.read()
init_js = """
<script type="text/javascript">
... | selector_obj = {"columns": [], "data": []}
else:
specific = [
_build_viz_figure(explanation.visualize(i))
for i in range(len(explanation.selector))
]
selector_obj = {
"columns": list(explanation.selector.columns),
"data": explanation.selector.... | 132 | 132 | 443 | 22 | 109 | PiCEulHer/interpret | python/interpret-core/interpret/visual/inline.py | Python | _build_javascript | _build_javascript | 118 | 180 | 118 | 118 | 7a4c1a63edadd8fd0e2fa20485cdee1b2d62a93b | bigcode/the-stack | train |
f749a2739a98e1d2d7f0e9d3 | train | function | def _build_viz_obj(explanation):
overall = _build_viz_figure(explanation.visualize())
if explanation.selector is None:
# NOTE: Unsure if this should be a list or None in the long term.
specific = []
selector_obj = {"columns": [], "data": []}
else:
specific = [
_bu... | def _build_viz_obj(explanation):
| overall = _build_viz_figure(explanation.visualize())
if explanation.selector is None:
# NOTE: Unsure if this should be a list or None in the long term.
specific = []
selector_obj = {"columns": [], "data": []}
else:
specific = [
_build_viz_figure(explanation.visual... | type": _type, "figure": figure}
viz_obj = {
"name": "Error",
"overall": viz_figure,
"specific": [],
"selector": {"columns": [], "data": []},
}
return viz_obj
def _build_viz_obj(explanation):
| 64 | 64 | 164 | 9 | 54 | PiCEulHer/interpret | python/interpret-core/interpret/visual/inline.py | Python | _build_viz_obj | _build_viz_obj | 93 | 115 | 93 | 93 | 59d02f922c5d0969ee0a46ce8e378939d01505ef | bigcode/the-stack | train |
e49fbad6f7ae2bc1876e10a7 | train | function | def render(explanation, id_str=None, default_key=-1, detected_envs=None, js_url=None):
from IPython.display import display, HTML
if isinstance(explanation, list):
msg = "Dashboard not yet supported in cloud environments."
viz_obj = _build_viz_err_obj(msg)
else:
viz_obj = _build_viz_... | def render(explanation, id_str=None, default_key=-1, detected_envs=None, js_url=None):
| from IPython.display import display, HTML
if isinstance(explanation, list):
msg = "Dashboard not yet supported in cloud environments."
viz_obj = _build_viz_err_obj(msg)
else:
viz_obj = _build_viz_obj(explanation)
init_js, body_js = _build_javascript(
viz_obj, id_str, de... | found:
msg = "Could not find DataBrick's displayHTML function"
log.error(msg)
raise RuntimeError(msg)
_render_databricks.displayHTML(js)
_render_databricks.displayHTML = None
def render(explanation, id_str=None, default_key=-1, detected_envs=None, js_url=None):
| 69 | 69 | 233 | 23 | 45 | PiCEulHer/interpret | python/interpret-core/interpret/visual/inline.py | Python | render | render | 209 | 231 | 209 | 209 | 5c7907621a4419b2f5e1f8263a85fc7f14f740b3 | bigcode/the-stack | train |
b30b77fcad237c6f32359467 | train | function | def mov_avg (mylist):
N = 3
cumsum, moving_aves = [0], []
for i, x in enumerate(mylist, 1):
cumsum.append(cumsum[i-1] + x)
if i>=N:
moving_ave = (cumsum[i] - cumsum[i-N])/N
if (moving_ave)<140:
moving_aves.append(moving_ave)
return movin... | def mov_avg (mylist):
| N = 3
cumsum, moving_aves = [0], []
for i, x in enumerate(mylist, 1):
cumsum.append(cumsum[i-1] + x)
if i>=N:
moving_ave = (cumsum[i] - cumsum[i-N])/N
if (moving_ave)<140:
moving_aves.append(moving_ave)
return moving_aves
|
from matplotlib import style
import datetime as dt
fig=plt.figure()
axl=fig.add_subplot(1,1,1)
ser=serial.Serial("COM4",115200)
beat=[]
avg_beat=[]
xs=[]
ys=[]
y_range=[30,150]
def mov_avg (mylist):
| 64 | 64 | 101 | 7 | 57 | Uzama/Smart-Driver-Drowsiness-Detection | pulse.py | Python | mov_avg | mov_avg | 18 | 28 | 18 | 18 | 5564ee5f917863f6164c58ebb98846bd0d305024 | bigcode/the-stack | train |
7f326e6b24ff1225a6f47cca | train | function | def suite():
loader = unittest.TestLoader()
tests = loader.discover(os.path.dirname(__file__),
pattern='test*.py', top_level_dir=None)
suite = unittest.TestSuite()
for test in tests:
suite.addTest(test)
return suite
| def suite():
| loader = unittest.TestLoader()
tests = loader.discover(os.path.dirname(__file__),
pattern='test*.py', top_level_dir=None)
suite = unittest.TestSuite()
for test in tests:
suite.addTest(test)
return suite
| """Django feeds test suite"""
import unittest
import os
def suite():
| 16 | 64 | 58 | 3 | 12 | operasoftware/django-feeds | djangofeeds/tests/__init__.py | Python | suite | suite | 6 | 15 | 6 | 6 | 63f94033cb87918ea33a686e2fb750f5abefb7fe | bigcode/the-stack | train |
e1d574425e649c81629ad823 | train | class | class Expression(Node.Nodo):
def __init__(self, *args):
if len(args) == 6:
self.exp1 = args[0]
self.exp2 = args[1]
self.op = args[2]
self.line = args[3]
self.column = args[4]
self.op_type = args[5]
self.valor = None
... | class Expression(Node.Nodo):
| def __init__(self, *args):
if len(args) == 6:
self.exp1 = args[0]
self.exp2 = args[1]
self.op = args[2]
self.line = args[3]
self.column = args[4]
self.op_type = args[5]
self.valor = None
self.type = None
... | import AST.Nodo as Node
from TablaSimbolos.Tipos import *
from Errores.Nodo_Error import *
class Expression(Node.Nodo):
| 31 | 136 | 454 | 6 | 25 | susanliss/tytus | parser/team19/BDTytus/AST/Expresiones.py | Python | Expression | Expression | 6 | 59 | 6 | 6 | 1944b459cda02592dcd2fd4986d726e856daec62 | bigcode/the-stack | train |
1f4af1f169536c756a60aab9 | train | class | class variable(Node.Nodo):
def __init__(self, nombre, fila, col):
self.fila = fila
self.columna = col
self.nombre = nombre
self.temporal = ""
def ejecutar(self, TS, Errores):
simbolo = TS.obtener(self.nombre)
if simbolo is None:
Errores.insertar(
... | class variable(Node.Nodo):
| def __init__(self, nombre, fila, col):
self.fila = fila
self.columna = col
self.nombre = nombre
self.temporal = ""
def ejecutar(self, TS, Errores):
simbolo = TS.obtener(self.nombre)
if simbolo is None:
Errores.insertar(
Nodo_Error("Sem... | ' + str(id(self))
grafica.node(nombrehijo, label=('Exp'))
grafica.edge(padre, nombrehijo)
grafica.node('NodeV' + str(id(self)), label=(str(self.valor)))
grafica.edge(nombrehijo, 'NodeV' + str(id(self)))
class variable(Node.Nodo):
| 71 | 72 | 240 | 6 | 65 | susanliss/tytus | parser/team19/BDTytus/AST/Expresiones.py | Python | variable | variable | 225 | 251 | 225 | 225 | 9f45503a9807036db1468b1b127c292977db6891 | bigcode/the-stack | train |
6c19916976940af38ef0d4ec | train | class | class Aritmetica(Node.Nodo):
def __init__(self, Exp1, Exp2, op, fila, col):
#self.Exp1 = primitivo() Descomentar correrlo produce error porque el metodo necesita mas parametros, pienso que querias poner exp1?
#self.Exp2 = primitivo() Descomentar correrlo produce error porque el metodo necesita mas p... | class Aritmetica(Node.Nodo):
| def __init__(self, Exp1, Exp2, op, fila, col):
#self.Exp1 = primitivo() Descomentar correrlo produce error porque el metodo necesita mas parametros, pienso que querias poner exp1?
#self.Exp2 = primitivo() Descomentar correrlo produce error porque el metodo necesita mas parametros, pienso que querias... | OS.STRING
def ejecutar(self, TS, Errores):
if self.op_type is None:
return self
elif self.op_type == 'Aritmetica':
tipo1 = self.exp1.ejecutar(TS, Errores)
tipo2 = self.exp2.ejecutar(TS, Errores)
if tipo1.type == TIPO_DATOS.INT:
if tipo... | 256 | 256 | 1,089 | 9 | 246 | susanliss/tytus | parser/team19/BDTytus/AST/Expresiones.py | Python | Aritmetica | Aritmetica | 62 | 144 | 62 | 62 | 31d2a2b052c347347912814847dc98d99b3f6e50 | bigcode/the-stack | train |
b978b5dfa9274c7a834b4684 | train | class | class casteo(Node.Nodo):
def __init__(self, Cast, Exp, fila, col):
self.fila = fila
self.columna = col
self.Exp = Exp
self.cast = Cast
def ejecutar(self, TS, Errores):
self.Exp.ejecutar(TS, Errores)
if self.cast == "char":
self.tipo = TIPO_DATOS.CHAR
... | class casteo(Node.Nodo):
| def __init__(self, Cast, Exp, fila, col):
self.fila = fila
self.columna = col
self.Exp = Exp
self.cast = Cast
def ejecutar(self, TS, Errores):
self.Exp.ejecutar(TS, Errores)
if self.cast == "char":
self.tipo = TIPO_DATOS.CHAR
elif self.cast ==... | hijo, grafica)
grafica.node('NodeE2' + str(id(self)), label=":")
grafica.edge(nombrehijo, 'NodeE2' + str(id(self)))
self.Exp2.graficarasc(nombrehijo, grafica)
class casteo(Node.Nodo):
| 64 | 64 | 211 | 7 | 57 | susanliss/tytus | parser/team19/BDTytus/AST/Expresiones.py | Python | casteo | casteo | 490 | 516 | 490 | 490 | 5717b5f7836b2b0b716c40cb8c7815311c5116bc | bigcode/the-stack | train |
c910818a26431c3417aba9dc | train | class | class ternario(Node.Nodo):
def __init__(self, Cond, Exp1, Exp2, fila, col):
self.fila = fila
self.columna = col
self.Cond = Cond
self.Exp1 = Exp1
self.Exp2 = Exp2
def ejecutar(self, TS, Errores):
tipo = self.ejecutar(TS, Errores)
if not (
... | class ternario(Node.Nodo):
| def __init__(self, Cond, Exp1, Exp2, fila, col):
self.fila = fila
self.columna = col
self.Cond = Cond
self.Exp1 = Exp1
self.Exp2 = Exp2
def ejecutar(self, TS, Errores):
tipo = self.ejecutar(TS, Errores)
if not (
tipo == TIPO_DATOS.INT or t... | getC3D(self, TS):
codigo = ""
codigo += self.Exp.getC3D(TS)
temp = TS.getTemp()
self.temporal = temp
codigo += self.temporal + ' = ' + str(self.op) + ' ' + self.Exp.temporal + '; \n'
return codigo
def graficarasc(self, padre, grafica):
nombrehijo = 'Node' + ... | 187 | 187 | 624 | 7 | 180 | susanliss/tytus | parser/team19/BDTytus/AST/Expresiones.py | Python | ternario | ternario | 438 | 487 | 438 | 438 | a29663c79b25779ac2aa3feb5d0b34efadcd2b9c | bigcode/the-stack | train |
8b93b45a0c4b1e80f3207e99 | train | class | class primitivo(Node.Nodo):
def __init__(self, Valor, fila, col, tipo):
self.fila = fila
self.columna = col
self.valor = Valor
self.temporal = ""
if tipo == "decimal":
self.tipo = TIPO_DATOS.DOUBLE
elif tipo == "entero":
self.tipo = TIPO_DATOS.... | class primitivo(Node.Nodo):
| def __init__(self, Valor, fila, col, tipo):
self.fila = fila
self.columna = col
self.valor = Valor
self.temporal = ""
if tipo == "decimal":
self.tipo = TIPO_DATOS.DOUBLE
elif tipo == "entero":
self.tipo = TIPO_DATOS.INT
elif tipo == "ch... | not None:
self.Exp1.graficarasc(nombrehijo, grafica)
grafica.node('NodeE1' + str(id(self)), label=(str(self.op)))
grafica.edge(nombrehijo, 'NodeE1' + str(id(self)))
if self.Exp2 is not None:
self.Exp2.graficarasc(nombrehijo, grafica)
class primitivo(Node.Nodo):
| 89 | 89 | 299 | 7 | 82 | susanliss/tytus | parser/team19/BDTytus/AST/Expresiones.py | Python | primitivo | primitivo | 190 | 222 | 190 | 190 | 5dee0e4948879bcf0dccf73f813f324727251a65 | bigcode/the-stack | train |
8ff67a9353549f9f04500c26 | train | class | class unario(Node.Nodo):
def __init__(self, Exp, op, fila, col):
self.fila = fila
self.columna = col
self.Exp = Exp
self.op = op
def ejecutar(self, TS, Errores):
tipo = self.Exp.ejecutar(TS, Errores)
if self.op == '~':
if tipo == TIPO_DATOS.INT or tip... | class unario(Node.Nodo):
| def __init__(self, Exp, op, fila, col):
self.fila = fila
self.columna = col
self.Exp = Exp
self.op = op
def ejecutar(self, TS, Errores):
tipo = self.Exp.ejecutar(TS, Errores)
if self.op == '~':
if tipo == TIPO_DATOS.INT or tipo == TIPO_DATOS.CHAR:
... | grafica.edge(padre, nombrehijo)
if self.primero:
grafica.node('NodeE1' + str(id(self)), label=(str(self.op)))
grafica.edge(nombrehijo, 'NodeE1' + str(id(self)))
self.Exp1.graficarasc(nombrehijo, grafica)
else:
self.Exp1.graficarasc(nombrehijo, grafica)
... | 135 | 136 | 455 | 7 | 128 | susanliss/tytus | parser/team19/BDTytus/AST/Expresiones.py | Python | unario | unario | 394 | 435 | 394 | 394 | bf040b6c199f52a295e452a445fb8da6bfa0d148 | bigcode/the-stack | train |
2ec6a4f4fb167b1d10999bb2 | train | class | class bitabit(Node.Nodo):
def __init__(self, Exp1, Exp2, op, fila, col):
self.fila = fila
self.columna = col
self.Exp1 = Exp1
self.Exp2 = Exp2
self.op = op
self.temporal = ""
def ejecutar(self, TS, Errores):
tipo1 = self.Exp1.ejecutar(TS, Errores)
... | class bitabit(Node.Nodo):
| def __init__(self, Exp1, Exp2, op, fila, col):
self.fila = fila
self.columna = col
self.Exp1 = Exp1
self.Exp2 = Exp2
self.op = op
self.temporal = ""
def ejecutar(self, TS, Errores):
tipo1 = self.Exp1.ejecutar(TS, Errores)
tipo2 = self.Exp2.ejecuta... | return simbolo.tipo
def getC3D(self, TS):
codigo = ""
simbolo = TS.obtener(self.nombre)
self.temporal = simbolo.posicion
return codigo
def graficarasc(self, padre, grafica):
nombrehijo = 'Node' + str(id(self))
grafica.node(nombrehijo, label=('Exp'))
gra... | 134 | 135 | 452 | 7 | 127 | susanliss/tytus | parser/team19/BDTytus/AST/Expresiones.py | Python | bitabit | bitabit | 254 | 295 | 254 | 254 | 67d4b2b687663753ba0b3fa8ed47f14719e324ce | bigcode/the-stack | train |
c89d53b865b3063ce3799aec | train | class | class incremento(Node.Nodo):
def __init__(self, Exp1, op, primero, fila, col):
self.fila = fila
self.columna = col
self.Exp1 = Exp1
self.primero = primero
self.op = op
def ejecutar(self, TS, Errores):
tipo = self.Exp1.ejecutar(TS, Errores)
if tipo == TIPO... | class incremento(Node.Nodo):
| def __init__(self, Exp1, op, primero, fila, col):
self.fila = fila
self.columna = col
self.Exp1 = Exp1
self.primero = primero
self.op = op
def ejecutar(self, TS, Errores):
tipo = self.Exp1.ejecutar(TS, Errores)
if tipo == TIPO_DATOS.INT or tipo == TIPO_DA... | .Exp2.temporal)
return codigo
def graficarasc(self, padre, grafica):
nombrehijo = 'Node' + str(id(self))
grafica.node(nombrehijo, label=('Exp'))
grafica.edge(padre, nombrehijo)
if self.Exp1 is not None:
self.Exp1.graficarasc(nombrehijo, grafica)
grafica.n... | 152 | 152 | 509 | 6 | 146 | susanliss/tytus | parser/team19/BDTytus/AST/Expresiones.py | Python | incremento | incremento | 341 | 391 | 341 | 341 | a74c2adb718551007e16518869c09f3c5283979b | bigcode/the-stack | train |
cf39f58eeac4b0d0133686e7 | train | class | class Relacional(Node.Nodo):
def __init__(self, Exp1, Exp2, op, fila, col):
self.Exp1 = Exp1
self.Exp2 = Exp2
self.op = op
self.fila = fila
self.columna = col
def ejecutar(self, TS, Errores):
tipo1 = self.Exp1.ejecutar(TS, Errores)
tipo2 = self.Exp2.ejecu... | class Relacional(Node.Nodo):
| def __init__(self, Exp1, Exp2, op, fila, col):
self.Exp1 = Exp1
self.Exp2 = Exp2
self.op = op
self.fila = fila
self.columna = col
def ejecutar(self, TS, Errores):
tipo1 = self.Exp1.ejecutar(TS, Errores)
tipo2 = self.Exp2.ejecutar(TS, Errores)
if ... | poral)
return codigo
def graficarasc(self, padre, grafica):
nombrehijo = 'Node' + str(id(self))
grafica.node(nombrehijo, label=('Exp'))
grafica.edge(padre, nombrehijo)
if self.Exp1 is not None:
self.Exp1.graficarasc(nombrehijo, grafica)
grafica.node('Node... | 150 | 150 | 502 | 7 | 143 | susanliss/tytus | parser/team19/BDTytus/AST/Expresiones.py | Python | Relacional | Relacional | 147 | 187 | 147 | 147 | af520e5fa2ace745703fb3d0652821c5a37818d8 | bigcode/the-stack | train |
3720338b5acd6cc199ef7cea | train | class | class logica(Node.Nodo):
def __init__(self, Exp1, Exp2, op, fila, col):
self.fila = fila
self.columna = col
self.Exp1 = Exp1
self.Exp2 = Exp2
self.op = op
def ejecutar(self, TS, Errores):
tipo1 = self.Exp1.ejecutar(TS, Errores)
tipo2 = self.Exp2.ejecutar(... | class logica(Node.Nodo):
| def __init__(self, Exp1, Exp2, op, fila, col):
self.fila = fila
self.columna = col
self.Exp1 = Exp1
self.Exp2 = Exp2
self.op = op
def ejecutar(self, TS, Errores):
tipo1 = self.Exp1.ejecutar(TS, Errores)
tipo2 = self.Exp2.ejecutar(TS, Errores)
if ... |
def graficarasc(self, padre, grafica):
nombrehijo = 'Node' + str(id(self))
grafica.node(nombrehijo, label=('Exp'))
grafica.edge(padre, nombrehijo)
if self.Exp1 is not None:
self.Exp1.graficarasc(nombrehijo, grafica)
grafica.node('NodeE1' + str(id(self)), label=(... | 145 | 145 | 486 | 7 | 138 | susanliss/tytus | parser/team19/BDTytus/AST/Expresiones.py | Python | logica | logica | 298 | 338 | 298 | 298 | df6572c5b10d3bff09b617c213173d79cdac5dcc | bigcode/the-stack | train |
46025b84d781e310d76e43a7 | train | class | class Climb(models.Model):
FIVE = 5
SIX = 6
SEVEN = 7
EIGHT = 8
NINE = 9
TEN = 10
ELEVEN= 11
TWELVE= 12
THIRTEEN = 13
FOURTEEN = 14
DIFFICULTY = (
(FIVE, '5'),
(SIX, '6'),
(SEVEN, '7'),
(EIGHT, '8'),
(NINE, '9'),
(TEN, '10'),... | class Climb(models.Model):
| FIVE = 5
SIX = 6
SEVEN = 7
EIGHT = 8
NINE = 9
TEN = 10
ELEVEN= 11
TWELVE= 12
THIRTEEN = 13
FOURTEEN = 14
DIFFICULTY = (
(FIVE, '5'),
(SIX, '6'),
(SEVEN, '7'),
(EIGHT, '8'),
(NINE, '9'),
(TEN, '10'),
(ELEVEN, '11'),
... | from __future__ import unicode_literals
from django.db import models
from django.contrib.auth.models import User
# Create your models here.
class Climb(models.Model):
| 34 | 94 | 315 | 6 | 28 | djstein/hci_final | hci/rockclimb/models.py | Python | Climb | Climb | 7 | 51 | 7 | 8 | 9816825e004fce5d76170e80b40394de3b58e40d | bigcode/the-stack | train |
0e72b4c0a8f8c84cc6274651 | train | class | class Attempt(models.Model):
climb = models.ForeignKey(Climb)
date = models.DateField()
attempt_notes = models.TextField(default="")
| class Attempt(models.Model):
| climb = models.ForeignKey(Climb)
date = models.DateField()
attempt_notes = models.TextField(default="")
| models.ImageField(upload_to='img', blank=True)
difficulty = models.IntegerField(choices=DIFFICULTY, default=FIVE)
grade = models.CharField(max_length=1, choices=GRADE, default=A)
notes = models.TextField(default="", blank=True)
class Attempt(models.Model):
| 64 | 64 | 31 | 5 | 59 | djstein/hci_final | hci/rockclimb/models.py | Python | Attempt | Attempt | 53 | 56 | 53 | 53 | 9da08ca56721467ac8b53f7da613d5b42a9331dd | bigcode/the-stack | train |
44d99b161ace2a684323c079 | train | class | class DefaultConfig(object):
AGORA_PATH = os.getenv('AGORA_PATH', os.path.join('/home', getpass.getuser(), 'agora'))
# deprecated/check if unused
AGORA_VERSION = '0.9'
# standard: no trailing slashes anywhere in variables.
# with protocol
URL_BASE = "https://anagora.org"
API_BASE = "https://... | class DefaultConfig(object):
| AGORA_PATH = os.getenv('AGORA_PATH', os.path.join('/home', getpass.getuser(), 'agora'))
# deprecated/check if unused
AGORA_VERSION = '0.9'
# standard: no trailing slashes anywhere in variables.
# with protocol
URL_BASE = "https://anagora.org"
API_BASE = "https://api.anagora.org"
#TODO c... | import os
import getpass
class DefaultConfig(object):
| 12 | 69 | 230 | 5 | 6 | flancian/agora-server | app/config.py | Python | DefaultConfig | DefaultConfig | 4 | 26 | 4 | 4 | 50cda01340499c3137b88685019c0e1e6d9cff7e | bigcode/the-stack | train |
ae64de305ccada5ded03ee40 | train | class | class ProductionConfig(DefaultConfig):
# EXPERIMENTS
ENABLE_CTZN = False
ENABLE_STATS = True
ENABLE_AUTO_PULL = True
ENABLE_AUTO_STOA = False
| class ProductionConfig(DefaultConfig):
# EXPERIMENTS
| ENABLE_CTZN = False
ENABLE_STATS = True
ENABLE_AUTO_PULL = True
ENABLE_AUTO_STOA = False
| in the DefaultConfig and then override in the right environment.
ENABLE_CTZN = False
ENABLE_STATS = False
ENABLE_OBSIDIAN_ATTACHMENTS = False
ENABLE_AUTO_PULL = False
ENABLE_AUTO_STOA = False
class ProductionConfig(DefaultConfig):
# EXPERIMENTS
| 64 | 64 | 42 | 14 | 49 | flancian/agora-server | app/config.py | Python | ProductionConfig | ProductionConfig | 28 | 34 | 28 | 30 | c90bcc1cbddbba3701a3e425b5c147c007d71119 | bigcode/the-stack | train |
8e1688186674a7768de74524 | train | class | class DevelopmentConfig(DefaultConfig):
URL_BASE = "http://dev.anagora.org"
URI_BASE = "dev.anagora.org"
API_BASE = "http://localhost:3000"
# EXPERIMENTS
ENABLE_CTZN = True
ENABLE_STATS = True
ENABLE_OBSIDIAN_ATTACHMENTS = True
ENABLE_AUTO_PULL = True
ENABLE_AUTO_STOA = True
| class DevelopmentConfig(DefaultConfig):
| URL_BASE = "http://dev.anagora.org"
URI_BASE = "dev.anagora.org"
API_BASE = "http://localhost:3000"
# EXPERIMENTS
ENABLE_CTZN = True
ENABLE_STATS = True
ENABLE_OBSIDIAN_ATTACHMENTS = True
ENABLE_AUTO_PULL = True
ENABLE_AUTO_STOA = True
|
ENABLE_AUTO_PULL = False
ENABLE_AUTO_STOA = False
class ProductionConfig(DefaultConfig):
# EXPERIMENTS
ENABLE_CTZN = False
ENABLE_STATS = True
ENABLE_AUTO_PULL = True
ENABLE_AUTO_STOA = False
class DevelopmentConfig(DefaultConfig):
| 64 | 64 | 87 | 6 | 57 | flancian/agora-server | app/config.py | Python | DevelopmentConfig | DevelopmentConfig | 36 | 47 | 36 | 36 | 486cd197fa66147ca4f9682c81856223d31ccc51 | bigcode/the-stack | train |
934165d4fb4301b9e9dff8c5 | train | function | @pytest.mark.rigetti_integration
def test_bell_circuit_through_service(bell_circuit: cirq.Circuit) -> None:
"""test that RigettiQCSService can run a basic bell circuit on the QVM and return an accurate
``cirq.study.Result``.
"""
qc = get_qc('9q-square', as_qvm=True)
service = RigettiQCSService(
... | @pytest.mark.rigetti_integration
def test_bell_circuit_through_service(bell_circuit: cirq.Circuit) -> None:
| """test that RigettiQCSService can run a basic bell circuit on the QVM and return an accurate
``cirq.study.Result``.
"""
qc = get_qc('9q-square', as_qvm=True)
service = RigettiQCSService(
quantum_computer=qc,
)
# set the seed so we get a deterministic set of results.
qvm = cast(... | -copyright-notice
from typing import cast
import pytest
import cirq
from pyquil import get_qc
from pyquil.api import QVM
from cirq_rigetti import RigettiQCSService
@pytest.mark.rigetti_integration
def test_bell_circuit_through_service(bell_circuit: cirq.Circuit) -> None:
| 76 | 76 | 256 | 30 | 45 | dabacon/Cirq | cirq-rigetti/cirq_rigetti/service_bell_circuit_test.py | Python | test_bell_circuit_through_service | test_bell_circuit_through_service | 10 | 36 | 10 | 11 | d65335293a5feeb5c520fc27e869c2b9440f6b02 | bigcode/the-stack | train |
57cc5ccb4474d9a10227dd69 | train | class | class Test_multi_core(unittest.TestCase):
def setUp(self):
ql.initialize()
# uses defaults of options in mapper branch except for output_dir and for maptiebreak
ql.set_option('output_dir', output_dir) # this uses output_dir set above
ql.set_option('maptiebreak', 'first') #... | class Test_multi_core(unittest.TestCase):
| def setUp(self):
ql.initialize()
# uses defaults of options in mapper branch except for output_dir and for maptiebreak
ql.set_option('output_dir', output_dir) # this uses output_dir set above
ql.set_option('maptiebreak', 'first') # this makes behavior deterministic to cmp w... | # tests for multi core
#
# assumes config files: test_multi_core_4x4_full.json
#
from openql import openql as ql
import os
import unittest
from utils import file_compare
curdir = os.path.dirname(os.path.realpath(__file__))
output_dir = os.path.join(curdir, 'test_output')
class Test_multi_core(unittest.TestCase):
| 79 | 256 | 1,840 | 8 | 71 | TariqTNO/OpenQL | tests/test_multi_core.py | Python | Test_multi_core | Test_multi_core | 15 | 190 | 15 | 16 | c106bc4f4ecbfc35d97c4510dfa68b97f9f28d35 | bigcode/the-stack | train |
b208f2fc84cf19d1b5c09b4f | train | class | class CategoricalGibbsMetropolis(ArrayStep):
"""A Metropolis-within-Gibbs step method optimized for categorical variables.
This step method works for Bernoulli variables as well, but it is not
optimized for them, like BinaryGibbsMetropolis is. Step method supports
two types of proposals: A uniform prop... | class CategoricalGibbsMetropolis(ArrayStep):
| """A Metropolis-within-Gibbs step method optimized for categorical variables.
This step method works for Bernoulli variables as well, but it is not
optimized for them, like BinaryGibbsMetropolis is. Step method supports
two types of proposals: A uniform proposal and a proportional proposal,
which w... | logp(q)
q.data[idx], accepted = metrop_select(logp_prop - logp_curr, q.data[idx], curr_val)
if accepted:
logp_curr = logp_prop
return q
@staticmethod
def competence(var):
"""
BinaryMetropolis is only suitable for Bernoulli
an... | 256 | 256 | 1,369 | 11 | 244 | percevalve/pymc | pymc/step_methods/metropolis.py | Python | CategoricalGibbsMetropolis | CategoricalGibbsMetropolis | 482 | 634 | 482 | 482 | 5b912337362dff1affaf89c858754a4875b83325 | bigcode/the-stack | train |
d3ed5e3e0d51b765454a057e | train | class | class DEMetropolisZ(ArrayStepShared):
"""
Adaptive Differential Evolution Metropolis sampling step that uses the past to inform jumps.
Parameters
----------
lamb: float
Lambda parameter of the DE proposal mechanism. Defaults to 2.38 / sqrt(2 * ndim)
vars: list
List of variables ... | class DEMetropolisZ(ArrayStepShared):
| """
Adaptive Differential Evolution Metropolis sampling step that uses the past to inform jumps.
Parameters
----------
lamb: float
Lambda parameter of the DE proposal mechanism. Defaults to 2.38 / sqrt(2 * ndim)
vars: list
List of variables for sampler
S: standard deviation ... |
# select two other chains
ir1, ir2 = np.random.choice(self.other_chains, 2, replace=False)
r1 = DictToArrayBijection.map(self.population[ir1])
r2 = DictToArrayBijection.map(self.population[ir2])
# propose a jump
q = floatX(q0 + self.lamb * (r1.data - r2.data) + epsilon)
... | 256 | 256 | 1,548 | 9 | 246 | percevalve/pymc | pymc/step_methods/metropolis.py | Python | DEMetropolisZ | DEMetropolisZ | 785 | 974 | 785 | 785 | 989e5e047b14709911f410bdd670f71d4dff4788 | bigcode/the-stack | train |
b67e3942a4e45d70c1083dd4 | train | class | class NormalProposal(Proposal):
def __call__(self):
return nr.normal(scale=self.s)
| class NormalProposal(Proposal):
| def __call__(self):
return nr.normal(scale=self.s)
| "NormalProposal",
"CauchyProposal",
"LaplaceProposal",
"PoissonProposal",
"MultivariateNormalProposal",
]
# Available proposal distributions for Metropolis
class Proposal:
def __init__(self, s):
self.s = s
class NormalProposal(Proposal):
| 64 | 64 | 21 | 6 | 57 | percevalve/pymc | pymc/step_methods/metropolis.py | Python | NormalProposal | NormalProposal | 57 | 59 | 57 | 57 | 0fc09e88b6ec270921bf8a6679873bcfceacd437 | bigcode/the-stack | train |
0426912c377e66e1be5da9c9 | train | function | def delta_logp(point, logp, vars, shared):
[logp0], inarray0 = pm.join_nonshared_inputs(point, [logp], vars, shared)
tensor_type = inarray0.type
inarray1 = tensor_type("inarray1")
logp1 = pm.CallableTensor(logp0)(inarray1)
f = compile_rv_inplace([inarray1, inarray0], logp1 - logp0)
f.trust_in... | def delta_logp(point, logp, vars, shared):
| [logp0], inarray0 = pm.join_nonshared_inputs(point, [logp], vars, shared)
tensor_type = inarray0.type
inarray1 = tensor_type("inarray1")
logp1 = pm.CallableTensor(logp0)(inarray1)
f = compile_rv_inplace([inarray1, inarray0], logp1 - logp0)
f.trust_input = True
return f
| - 1)
if candidate >= excluded:
candidate += 1
return candidate
def softmax(x):
e_x = np.exp(x - np.max(x))
return e_x / np.sum(e_x, axis=0)
def delta_logp(point, logp, vars, shared):
| 64 | 64 | 113 | 13 | 51 | percevalve/pymc | pymc/step_methods/metropolis.py | Python | delta_logp | delta_logp | 989 | 999 | 989 | 989 | 2ec386639b4d568cb17f86a3fb06d97ae9acc90b | bigcode/the-stack | train |
13ddbf1c5e251047da88352e | train | class | class MultivariateNormalProposal(Proposal):
def __init__(self, s):
n, m = s.shape
if n != m:
raise ValueError("Covariance matrix is not symmetric.")
self.n = n
self.chol = scipy.linalg.cholesky(s, lower=True)
def __call__(self, num_draws=None):
if num_draws i... | class MultivariateNormalProposal(Proposal):
| def __init__(self, s):
n, m = s.shape
if n != m:
raise ValueError("Covariance matrix is not symmetric.")
self.n = n
self.chol = scipy.linalg.cholesky(s, lower=True)
def __call__(self, num_draws=None):
if num_draws is not None:
b = np.random.randn(... | return (nr.standard_exponential(size=size) - nr.standard_exponential(size=size)) * self.s
class PoissonProposal(Proposal):
def __call__(self):
return nr.poisson(lam=self.s, size=np.size(self.s)) - self.s
class MultivariateNormalProposal(Proposal):
| 64 | 64 | 132 | 8 | 55 | percevalve/pymc | pymc/step_methods/metropolis.py | Python | MultivariateNormalProposal | MultivariateNormalProposal | 83 | 97 | 83 | 83 | f11b3b3ffbf9b4852290ea4dd59c6db3cf9a5766 | bigcode/the-stack | train |
c855902d06d7a79994665847 | train | class | class UniformProposal(Proposal):
def __call__(self):
return nr.uniform(low=-self.s, high=self.s, size=len(self.s))
| class UniformProposal(Proposal):
| def __call__(self):
return nr.uniform(low=-self.s, high=self.s, size=len(self.s))
| issonProposal",
"MultivariateNormalProposal",
]
# Available proposal distributions for Metropolis
class Proposal:
def __init__(self, s):
self.s = s
class NormalProposal(Proposal):
def __call__(self):
return nr.normal(scale=self.s)
class UniformProposal(Proposal):
| 64 | 64 | 31 | 6 | 58 | percevalve/pymc | pymc/step_methods/metropolis.py | Python | UniformProposal | UniformProposal | 62 | 64 | 62 | 62 | a481cb1654a0cff68278e6e2cf33499fa04db680 | bigcode/the-stack | train |
11a654d0ce795aee0bf3294e | train | class | class CauchyProposal(Proposal):
def __call__(self):
return nr.standard_cauchy(size=np.size(self.s)) * self.s
| class CauchyProposal(Proposal):
| def __call__(self):
return nr.standard_cauchy(size=np.size(self.s)) * self.s
| .s = s
class NormalProposal(Proposal):
def __call__(self):
return nr.normal(scale=self.s)
class UniformProposal(Proposal):
def __call__(self):
return nr.uniform(low=-self.s, high=self.s, size=len(self.s))
class CauchyProposal(Proposal):
| 64 | 64 | 32 | 8 | 56 | percevalve/pymc | pymc/step_methods/metropolis.py | Python | CauchyProposal | CauchyProposal | 67 | 69 | 67 | 67 | 8b3a9c31c89cde3d81ed75e576d832655da46d3e | bigcode/the-stack | train |
f51c543621beea7e42435b13 | train | class | class BinaryMetropolis(ArrayStep):
"""Metropolis-Hastings optimized for binary variables
Parameters
----------
vars: list
List of value variables for sampler
scaling: scalar or array
Initial scale factor for proposal. Defaults to 1.
tune: bool
Flag for tuning. Defaults t... | class BinaryMetropolis(ArrayStep):
| """Metropolis-Hastings optimized for binary variables
Parameters
----------
vars: list
List of value variables for sampler
scaling: scalar or array
Initial scale factor for proposal. Defaults to 1.
tune: bool
Flag for tuning. Defaults to True.
tune_interval: int
... | <0.05 x 0.5
<0.2 x 0.9
>0.5 x 1.1
>0.75 x 2
>0.95 x 10
"""
if acc_rate < 0.001:
# reduce by 90 percent
return scale * 0.1
elif acc_rate < 0.05:
# reduce by 50 percent
return scale * 0.5
elif acc_rate < 0.2:
... | 226 | 226 | 754 | 7 | 218 | percevalve/pymc | pymc/step_methods/metropolis.py | Python | BinaryMetropolis | BinaryMetropolis | 287 | 386 | 287 | 287 | a9071bb5ad9a20dbedbfaba5e268e3cbc6002583 | bigcode/the-stack | train |
0b2d9a7de279b277e7f6fb16 | train | class | class Proposal:
def __init__(self, s):
self.s = s
| class Proposal:
| def __init__(self, s):
self.s = s
| ropolis",
"BinaryGibbsMetropolis",
"CategoricalGibbsMetropolis",
"NormalProposal",
"CauchyProposal",
"LaplaceProposal",
"PoissonProposal",
"MultivariateNormalProposal",
]
# Available proposal distributions for Metropolis
class Proposal:
| 64 | 64 | 18 | 3 | 60 | percevalve/pymc | pymc/step_methods/metropolis.py | Python | Proposal | Proposal | 52 | 54 | 52 | 52 | f9717f5c9534337fd49207d4bca9852cffc2442f | bigcode/the-stack | train |
d2c3cd1bdbabc587bc4da5eb | train | class | class DEMetropolis(PopulationArrayStepShared):
"""
Differential Evolution Metropolis sampling step.
Parameters
----------
lamb: float
Lambda parameter of the DE proposal mechanism. Defaults to 2.38 / sqrt(2 * ndim)
vars: list
List of variables for sampler
S: standard deviati... | class DEMetropolis(PopulationArrayStepShared):
| """
Differential Evolution Metropolis sampling step.
Parameters
----------
lamb: float
Lambda parameter of the DE proposal mechanism. Defaults to 2.38 / sqrt(2 * ndim)
vars: list
List of variables for sampler
S: standard deviation or covariance matrix
Some measure of... | accept_ratio:
q.data[dim] = given_cat
return logp_curr
q.data[dim] = proposed_cat
return log_probs[proposed_cat]
@staticmethod
def competence(var):
"""
CategoricalGibbsMetropolis is only suitable for Bernoulli and
Categorical variables.
"... | 256 | 256 | 1,155 | 11 | 244 | percevalve/pymc | pymc/step_methods/metropolis.py | Python | DEMetropolis | DEMetropolis | 637 | 782 | 637 | 637 | baf9c47b8e4985cd1436b4eb43a05bf3d0c44722 | bigcode/the-stack | train |
11c3719e21803d0808b639bb | train | function | def softmax(x):
e_x = np.exp(x - np.max(x))
return e_x / np.sum(e_x, axis=0)
| def softmax(x):
| e_x = np.exp(x - np.max(x))
return e_x / np.sum(e_x, axis=0)
| if var.dtype in pm.discrete_types:
return Competence.INCOMPATIBLE
return Competence.COMPATIBLE
def sample_except(limit, excluded):
candidate = nr.choice(limit - 1)
if candidate >= excluded:
candidate += 1
return candidate
def softmax(x):
| 64 | 64 | 31 | 5 | 58 | percevalve/pymc | pymc/step_methods/metropolis.py | Python | softmax | softmax | 984 | 986 | 984 | 984 | eff7f72a0bbf7f2dbbf50e8b95ae4ac60703bb75 | bigcode/the-stack | train |
53d6b6db2e287a70830422f4 | train | function | def tune(scale, acc_rate):
"""
Tunes the scaling parameter for the proposal distribution
according to the acceptance rate over the last tune_interval:
Rate Variance adaptation
---- -------------------
<0.001 x 0.1
<0.05 x 0.5
<0.2 x 0.9
>0.5 x ... | def tune(scale, acc_rate):
| """
Tunes the scaling parameter for the proposal distribution
according to the acceptance rate over the last tune_interval:
Rate Variance adaptation
---- -------------------
<0.001 x 0.1
<0.05 x 0.5
<0.2 x 0.9
>0.5 x 1.1
>0.75 x 2
... | tune": self.tune,
"scaling": self.scaling,
"accept": np.exp(accept),
"accepted": accepted,
}
q_new = RaveledVars(q_new, point_map_info)
return q_new, [stats]
@staticmethod
def competence(var, has_grad):
return Competence.COMPATIBLE
def tune(... | 82 | 82 | 275 | 7 | 74 | percevalve/pymc | pymc/step_methods/metropolis.py | Python | tune | tune | 250 | 284 | 250 | 250 | 0800f5ca027d49ad6895063b4fc76f2d6cdcd3e4 | bigcode/the-stack | train |
cacb3e19a5f56de1780f8211 | train | class | class PoissonProposal(Proposal):
def __call__(self):
return nr.poisson(lam=self.s, size=np.size(self.s)) - self.s
| class PoissonProposal(Proposal):
| def __call__(self):
return nr.poisson(lam=self.s, size=np.size(self.s)) - self.s
| _cauchy(size=np.size(self.s)) * self.s
class LaplaceProposal(Proposal):
def __call__(self):
size = np.size(self.s)
return (nr.standard_exponential(size=size) - nr.standard_exponential(size=size)) * self.s
class PoissonProposal(Proposal):
| 64 | 64 | 34 | 7 | 56 | percevalve/pymc | pymc/step_methods/metropolis.py | Python | PoissonProposal | PoissonProposal | 78 | 80 | 78 | 78 | e66060bd094a1deb3e7affaff3b9a8ce7d4956b2 | bigcode/the-stack | train |
cebdfcd97408a7f783fbcdb2 | train | class | class LaplaceProposal(Proposal):
def __call__(self):
size = np.size(self.s)
return (nr.standard_exponential(size=size) - nr.standard_exponential(size=size)) * self.s
| class LaplaceProposal(Proposal):
| def __call__(self):
size = np.size(self.s)
return (nr.standard_exponential(size=size) - nr.standard_exponential(size=size)) * self.s
| def __call__(self):
return nr.uniform(low=-self.s, high=self.s, size=len(self.s))
class CauchyProposal(Proposal):
def __call__(self):
return nr.standard_cauchy(size=np.size(self.s)) * self.s
class LaplaceProposal(Proposal):
| 64 | 64 | 44 | 7 | 56 | percevalve/pymc | pymc/step_methods/metropolis.py | Python | LaplaceProposal | LaplaceProposal | 72 | 75 | 72 | 72 | 166516d9a63020c4a417c82d410214530da65462 | bigcode/the-stack | train |
be40de582275b06886eb2ce8 | train | function | def sample_except(limit, excluded):
candidate = nr.choice(limit - 1)
if candidate >= excluded:
candidate += 1
return candidate
| def sample_except(limit, excluded):
| candidate = nr.choice(limit - 1)
if candidate >= excluded:
candidate += 1
return candidate
| self._history = self._history[n_drop:]
return super().stop_tuning()
@staticmethod
def competence(var, has_grad):
if var.dtype in pm.discrete_types:
return Competence.INCOMPATIBLE
return Competence.COMPATIBLE
def sample_except(limit, excluded):
| 64 | 64 | 33 | 7 | 56 | percevalve/pymc | pymc/step_methods/metropolis.py | Python | sample_except | sample_except | 977 | 981 | 977 | 977 | 5e1588a753339f7b1d04e766d3f09093c167a313 | bigcode/the-stack | train |
f3ee2c0d5bf817c0a83b258a | train | class | class Metropolis(ArrayStepShared):
"""Metropolis-Hastings sampling step"""
name = "metropolis"
default_blocked = False
generates_stats = True
stats_dtypes = [
{
"accept": np.float64,
"accepted": bool,
"tune": bool,
"scaling": np.float64,
... | class Metropolis(ArrayStepShared):
| """Metropolis-Hastings sampling step"""
name = "metropolis"
default_blocked = False
generates_stats = True
stats_dtypes = [
{
"accept": np.float64,
"accepted": bool,
"tune": bool,
"scaling": np.float64,
}
]
def __init__(
... | .s, size=len(self.s))
class CauchyProposal(Proposal):
def __call__(self):
return nr.standard_cauchy(size=np.size(self.s)) * self.s
class LaplaceProposal(Proposal):
def __call__(self):
size = np.size(self.s)
return (nr.standard_exponential(size=size) - nr.standard_exponential(size=siz... | 256 | 256 | 1,069 | 7 | 249 | percevalve/pymc | pymc/step_methods/metropolis.py | Python | Metropolis | Metropolis | 100 | 247 | 100 | 100 | e82a007350b93bd59816e3247ec788d5f4d20a01 | bigcode/the-stack | train |
1a1d1da93c4107cbfb310a3c | train | class | class BinaryGibbsMetropolis(ArrayStep):
"""A Metropolis-within-Gibbs step method optimized for binary variables
Parameters
----------
vars: list
List of value variables for sampler
order: list or 'random'
List of integers indicating the Gibbs update order
e.g., [0, 2, 1, ...... | class BinaryGibbsMetropolis(ArrayStep):
| """A Metropolis-within-Gibbs step method optimized for binary variables
Parameters
----------
vars: list
List of value variables for sampler
order: list or 'random'
List of integers indicating the Gibbs update order
e.g., [0, 2, 1, ...]. Default is random
transit_p: floa... | Vars(q_new, point_map_info)
return q_new, [stats]
@staticmethod
def competence(var):
"""
BinaryMetropolis is only suitable for binary (bool)
and Categorical variables with k=1.
"""
distribution = getattr(var.owner, "op", None)
if isinstance(distribution... | 225 | 225 | 751 | 10 | 214 | percevalve/pymc | pymc/step_methods/metropolis.py | Python | BinaryGibbsMetropolis | BinaryGibbsMetropolis | 389 | 479 | 389 | 389 | 2443f56d82657acfe4820718ad90ffbd59732d36 | bigcode/the-stack | train |
e5abd032c7c264fa91bb8d35 | train | function | def get_licenses_by_key():
"""
Return a mapping of license key -> license object.
"""
global _LICENSES_BY_KEY
if not _LICENSES_BY_KEY :
_LICENSES_BY_KEY = load_licenses()
return _LICENSES_BY_KEY
| def get_licenses_by_key():
| """
Return a mapping of license key -> license object.
"""
global _LICENSES_BY_KEY
if not _LICENSES_BY_KEY :
_LICENSES_BY_KEY = load_licenses()
return _LICENSES_BY_KEY
| if not exists(location):
text = u''
else:
with codecs.open(location, encoding='utf-8') as f:
text = f.read()
return text
# cache license objects in a map by license key
_LICENSES_BY_KEY = {}
def get_licenses_by_key():
| 63 | 64 | 58 | 7 | 56 | pombredanne/scancode-toolkit | src/licensedcode/models.py | Python | get_licenses_by_key | get_licenses_by_key | 197 | 204 | 197 | 197 | 3d2c65f8e1eac864c20e9b25a5aa6473f275105b | bigcode/the-stack | train |
97d94d34241ad6c56b7baf6d | train | class | class License(object):
"""
A license consists of these files, where <key> is the license key:
- <key>.yml : the license data in YAML
- <key>.LICENSE: the license text
- <key>.SPDX: the SPDX license text
"""
def __init__(self, key=None, src_dir=licenses_data_dir):
# unique... | class License(object):
| """
A license consists of these files, where <key> is the license key:
- <key>.yml : the license data in YAML
- <key>.LICENSE: the license text
- <key>.SPDX: the SPDX license text
"""
def __init__(self, key=None, src_dir=licenses_data_dir):
# unique key: lower case ASCII ... | with ScanCode and provided on an "AS IS" BASIS, WITHOUT WARRANTIES
# OR CONDITIONS OF ANY KIND, either express or implied. No content created from
# ScanCode should be considered or used as legal advice. Consult an Attorney
# for any legal advice.
# ScanCode is a free software code scanning tool from nexB Inc. and... | 256 | 256 | 936 | 4 | 252 | pombredanne/scancode-toolkit | src/licensedcode/models.py | Python | License | License | 58 | 190 | 58 | 58 | b9046dee31933899930237390429d8cb3a460033 | bigcode/the-stack | train |
ee312ea4673101cb06e12a26 | train | function | def get_all_rules(_use_cache=False):
"""
Return an iterable of all unique rules loaded from licenses and rules files.
"""
rules = chain(get_rules_from_license_texts(), load_rules())
unique = unique_rules(rules)
verify_rules_license(unique)
return unique
| def get_all_rules(_use_cache=False):
| """
Return an iterable of all unique rules loaded from licenses and rules files.
"""
rules = chain(get_rules_from_license_texts(), load_rules())
unique = unique_rules(rules)
verify_rules_license(unique)
return unique
|
if unknown_files:
print(unknown_files)
files = '\n'.join(sorted(unknown_files))
msg = 'Unknown files in rule directory: %(rule_dir)r\n%(files)s'
raise Exception(msg % locals())
return rules
def get_all_rules(_use_cache=False):
| 64 | 64 | 60 | 9 | 54 | pombredanne/scancode-toolkit | src/licensedcode/models.py | Python | get_all_rules | get_all_rules | 401 | 408 | 401 | 401 | 692def8e967223ae96cef1d9205aefd9973b1927 | bigcode/the-stack | train |
fd25a089e402fc32dd08b188 | train | class | class Rule(object):
"""
Base class for detection rules.
"""
def __init__(self, data_file=None, text_file=None,
licenses=None, license_choice=False,
template=False, notes=None):
self.licenses = licenses or []
self.license_choice = license_choice
... | class Rule(object):
| """
Base class for detection rules.
"""
def __init__(self, data_file=None, text_file=None,
licenses=None, license_choice=False,
template=False, notes=None):
self.licenses = licenses or []
self.license_choice = license_choice
self.notes = notes
... | in licenses_list.items():
text = license_obj.text
spdx_text = license_obj.spdx_license_text
if text:
yield Rule(
text_file=join(license_obj.src_dir, license_obj.text_file),
licenses=[license_key],
)
if spdx_text:
yield... | 192 | 192 | 640 | 4 | 188 | pombredanne/scancode-toolkit | src/licensedcode/models.py | Python | Rule | Rule | 276 | 366 | 276 | 276 | d73522f187b62f5a2fbccda8b385625f1f290fba | bigcode/the-stack | train |
da6f82fad4de3c6542e40a4e | train | function | def load_licenses(license_dir=licenses_data_dir):
"""
Return a mapping of key -> license objects, loaded from license files.
"""
licenses = {}
# TODO: add check for unknown files
for top, _, files in os.walk(license_dir):
for yfile in files:
if not yfile.endswith('.yml'):
... | def load_licenses(license_dir=licenses_data_dir):
| """
Return a mapping of key -> license objects, loaded from license files.
"""
licenses = {}
# TODO: add check for unknown files
for top, _, files in os.walk(license_dir):
for yfile in files:
if not yfile.endswith('.yml'):
continue
key = yfile.rep... | load_licenses()
return _LICENSES_BY_KEY
def get_license(key):
"""
Return a license object for this key.
Raise a KeyError if the license does not exists.
"""
return get_licenses_by_key()[key]
def load_licenses(license_dir=licenses_data_dir):
| 64 | 64 | 124 | 12 | 52 | pombredanne/scancode-toolkit | src/licensedcode/models.py | Python | load_licenses | load_licenses | 215 | 231 | 215 | 215 | 382a76e974741b7653710c4769a3b39e532b685b | bigcode/the-stack | train |
52c6e4130fa2b3ace0defd5b | train | function | def load_rules(rule_dir=rules_data_dir):
"""
Return a list of rules, loaded from rules files.
FIXME: return an iterable instead
"""
rules = []
seen_files = set()
processed_files = set()
for top, _, files in os.walk(rule_dir):
for yfile in files:
if yfile.endswith('.y... | def load_rules(rule_dir=rules_data_dir):
| """
Return a list of rules, loaded from rules files.
FIXME: return an iterable instead
"""
rules = []
seen_files = set()
processed_files = set()
for top, _, files in os.walk(rule_dir):
for yfile in files:
if yfile.endswith('.yml'):
data_file = join(to... | ', [])
self.license_choice = data.get('license_choice', False)
self.template = data.get('template', False)
# these are purely informational and not used at run time
if load_notes:
self.notes = data.get('notes')
return self
def load_rules(rule_dir=rules_data_dir):
| 68 | 68 | 228 | 10 | 57 | pombredanne/scancode-toolkit | src/licensedcode/models.py | Python | load_rules | load_rules | 369 | 398 | 369 | 369 | 77195bb1ce4fd0c2724b40007d2d36ee4161f22d | bigcode/the-stack | train |
1342bc697467beb8aa4cf150 | train | function | def get_rules_from_license_texts(licenses_list=None):
"""
Return an iterable of rules built from license texts and spdx texts from
in the `licenses_list` license objects iterable.
Load the reference list list from disk if list_list is not provided.
"""
if not licenses_list:
licenses_lis... | def get_rules_from_license_texts(licenses_list=None):
| """
Return an iterable of rules built from license texts and spdx texts from
in the `licenses_list` license objects iterable.
Load the reference list list from disk if list_list is not provided.
"""
if not licenses_list:
licenses_list = get_licenses_by_key()
for license_key, licens... | yml'):
continue
key = yfile.replace('.yml', '')
yfile = join(top, yfile)
src_dir = os.path.dirname(yfile)
licenses[key] = License(key, src_dir)
return licenses
def get_rules_from_license_texts(licenses_list=None):
| 64 | 64 | 172 | 12 | 51 | pombredanne/scancode-toolkit | src/licensedcode/models.py | Python | get_rules_from_license_texts | get_rules_from_license_texts | 234 | 257 | 234 | 234 | 646b8c151a8ac08a7b4187eaea7b314b89465e1f | bigcode/the-stack | train |
d6bdb7529c3ec12fb45e9e66 | train | function | def verify_rules_license(rules):
"""
Ensure that every rules license is a valid license. Raise a MissingLicense
exception with a message containing the list of rule files that do not have
a corresponding existing license.
"""
invalid_rules = defaultdict(list)
for rule in rules:
for k... | def verify_rules_license(rules):
| """
Ensure that every rules license is a valid license. Raise a MissingLicense
exception with a message containing the list of rule files that do not have
a corresponding existing license.
"""
invalid_rules = defaultdict(list)
for rule in rules:
for key in rule.licenses:
... | Return an iterable of all unique rules loaded from licenses and rules files.
"""
rules = chain(get_rules_from_license_texts(), load_rules())
unique = unique_rules(rules)
verify_rules_license(unique)
return unique
class MissingLicense(Exception):
pass
def verify_rules_license(rules):
| 64 | 64 | 154 | 7 | 56 | pombredanne/scancode-toolkit | src/licensedcode/models.py | Python | verify_rules_license | verify_rules_license | 415 | 432 | 415 | 415 | 8ce52f50698e0c7e39e16212ce55f9a32616f472 | bigcode/the-stack | train |
c44ce008cf142b2cf05cd04c | train | function | def rule_identifier(rule):
"""
Return a string used to compare similar rules.
"""
comparable = rule.text.strip().lower().split()
comparable.append(repr(rule.license_choice))
comparable.append(repr(rule.template))
comparable.extend(sorted(rule.licenses))
return u''.join([t for t in compar... | def rule_identifier(rule):
| """
Return a string used to compare similar rules.
"""
comparable = rule.text.strip().lower().split()
comparable.append(repr(rule.license_choice))
comparable.append(repr(rule.template))
comparable.extend(sorted(rule.licenses))
return u''.join([t for t in comparable if t])
| : return an iterable instead
"""
seen = set()
uniques = []
for rule in rules:
ridt = rule_identifier(rule)
if ridt in seen:
continue
else:
seen.add(ridt)
uniques.append(rule)
return uniques
def rule_identifier(rule):
| 64 | 64 | 70 | 5 | 58 | pombredanne/scancode-toolkit | src/licensedcode/models.py | Python | rule_identifier | rule_identifier | 452 | 460 | 452 | 452 | 59c43a77949ac69f6cb8d36edddc41dae61de93b | bigcode/the-stack | train |
861916bf9eb5066eb16d0613 | train | class | class MissingLicense(Exception):
pass
| class MissingLicense(Exception):
| pass
| get_all_rules(_use_cache=False):
"""
Return an iterable of all unique rules loaded from licenses and rules files.
"""
rules = chain(get_rules_from_license_texts(), load_rules())
unique = unique_rules(rules)
verify_rules_license(unique)
return unique
class MissingLicense(Exception):
| 64 | 64 | 8 | 5 | 58 | pombredanne/scancode-toolkit | src/licensedcode/models.py | Python | MissingLicense | MissingLicense | 411 | 412 | 411 | 411 | a4897082eda020cf30e42a183bff518f3f8fd61a | bigcode/the-stack | train |
09ee9bcdf74141dee1a0e194 | train | function | def get_tokens(location, template):
"""
Return a list of tokens from a from a file at location using the tokenizer
function.
"""
location = os.path.abspath(location)
if not exists(location):
return []
tokenizr = template_tknzr if template else text_tknzr
lines = analysis.unicode... | def get_tokens(location, template):
| """
Return a list of tokens from a from a file at location using the tokenizer
function.
"""
location = os.path.abspath(location)
if not exists(location):
return []
tokenizr = template_tknzr if template else text_tknzr
lines = analysis.unicode_text_lines(location)
return lis... | =[license_key],
)
if spdx_text:
yield Rule(
text_file=join(license_obj.src_dir, license_obj.spdx_file),
licenses=[license_key],
)
text_tknzr, template_tknzr, _ = index.tokenizers()
def get_tokens(location, template):
| 64 | 64 | 81 | 7 | 57 | pombredanne/scancode-toolkit | src/licensedcode/models.py | Python | get_tokens | get_tokens | 262 | 273 | 262 | 262 | 87376b0281bd4284e9d0845c75f899125539233a | bigcode/the-stack | train |
62f603c458f5ca57e6f9248a | train | function | def get_license(key):
"""
Return a license object for this key.
Raise a KeyError if the license does not exists.
"""
return get_licenses_by_key()[key]
| def get_license(key):
| """
Return a license object for this key.
Raise a KeyError if the license does not exists.
"""
return get_licenses_by_key()[key]
| }
def get_licenses_by_key():
"""
Return a mapping of license key -> license object.
"""
global _LICENSES_BY_KEY
if not _LICENSES_BY_KEY :
_LICENSES_BY_KEY = load_licenses()
return _LICENSES_BY_KEY
def get_license(key):
| 64 | 64 | 40 | 5 | 58 | pombredanne/scancode-toolkit | src/licensedcode/models.py | Python | get_license | get_license | 207 | 212 | 207 | 207 | 0a866d295782400540c2b8440e4754b66ed32c9d | bigcode/the-stack | train |
c21138018ff1eaab3c62ae82 | train | function | def unique_rules(rules):
"""
Return a list of unique rules.
FIXME: return an iterable instead
"""
seen = set()
uniques = []
for rule in rules:
ridt = rule_identifier(rule)
if ridt in seen:
continue
else:
seen.add(ridt)
uniques.appen... | def unique_rules(rules):
| """
Return a list of unique rules.
FIXME: return an iterable instead
"""
seen = set()
uniques = []
for rule in rules:
ridt = rule_identifier(rule)
if ridt in seen:
continue
else:
seen.add(ridt)
uniques.append(rule)
return unique... | invalid_rules:
invalid_rules = (data_file + ': ' + ' '.join(keys)
for data_file, keys in invalid_rules.iteritems())
msg = 'Rules data file with missing licenses:\n' + '\n'.join(invalid_rules)
raise MissingLicense(msg)
def unique_rules(rules):
| 64 | 64 | 77 | 6 | 58 | pombredanne/scancode-toolkit | src/licensedcode/models.py | Python | unique_rules | unique_rules | 435 | 449 | 435 | 435 | 86fe7f5d85fdb4e6a30843547d88b70488c51fd3 | bigcode/the-stack | train |
6fb837cf73ae28d6f98a2713 | train | class | @resource("/v1/repository/<apirepopath:repository>/trigger/")
@path_param("repository", "The full path of the repository. e.g. namespace/name")
class BuildTriggerList(RepositoryParamResource):
""" Resource for listing repository build triggers. """
@require_repo_admin
@disallow_for_app_repositories
@ni... | @resource("/v1/repository/<apirepopath:repository>/trigger/")
@path_param("repository", "The full path of the repository. e.g. namespace/name")
class BuildTriggerList(RepositoryParamResource):
| """ Resource for listing repository build triggers. """
@require_repo_admin
@disallow_for_app_repositories
@nickname("listBuildTriggers")
def get(self, namespace_name, repo_name):
""" List the triggers for the specified repository. """
triggers = model.build.list_build_triggers(name... | )
except model.InvalidBuildTriggerException:
raise NotFound()
return trigger
@resource("/v1/repository/<apirepopath:repository>/trigger/")
@path_param("repository", "The full path of the repository. e.g. namespace/name")
class BuildTriggerList(RepositoryParamResource):
| 64 | 64 | 136 | 46 | 17 | dongboyan77/quay | endpoints/api/trigger.py | Python | BuildTriggerList | BuildTriggerList | 63 | 74 | 63 | 65 | f1a502651a3cac084626a31bb6ca398a70d5eb3e | bigcode/the-stack | train |
e1302d54b9dd52d3157f156e | train | function | def get_trigger(trigger_uuid):
try:
trigger = model.build.get_build_trigger(trigger_uuid)
except model.InvalidBuildTriggerException:
raise NotFound()
return trigger
| def get_trigger(trigger_uuid):
| try:
trigger = model.build.get_build_trigger(trigger_uuid)
except model.InvalidBuildTriggerException:
raise NotFound()
return trigger
| Logger(__name__)
def _prepare_webhook_url(scheme, username, password, hostname, path):
auth_hostname = "%s:%s@%s" % (username, password, hostname)
return urlunparse((scheme, auth_hostname, path, "", "", ""))
def get_trigger(trigger_uuid):
| 64 | 64 | 37 | 6 | 58 | dongboyan77/quay | endpoints/api/trigger.py | Python | get_trigger | get_trigger | 55 | 60 | 55 | 55 | 6a4db24d20d035507396af5deca8a8519a8a9929 | bigcode/the-stack | train |
06b0b343821471857f5cc5fa | train | class | @resource("/v1/repository/<apirepopath:repository>/trigger/<trigger_uuid>/namespaces")
@path_param("repository", "The full path of the repository. e.g. namespace/name")
@path_param("trigger_uuid", "The UUID of the build trigger")
@internal_only
class BuildTriggerSourceNamespaces(RepositoryParamResource):
""" Custom... | @resource("/v1/repository/<apirepopath:repository>/trigger/<trigger_uuid>/namespaces")
@path_param("repository", "The full path of the repository. e.g. namespace/name")
@path_param("trigger_uuid", "The UUID of the build trigger")
@internal_only
class BuildTriggerSourceNamespaces(RepositoryParamResource):
| """ Custom verb to fetch the list of namespaces (orgs, projects, etc) for the trigger config. """
@require_repo_admin
@disallow_for_app_repositories
@nickname("listTriggerBuildSourceNamespaces")
def get(self, namespace_name, repo_name, trigger_uuid):
""" List the build sources for the trigg... | @resource("/v1/repository/<apirepopath:repository>/trigger/<trigger_uuid>/namespaces")
@path_param("repository", "The full path of the repository. e.g. namespace/name")
@path_param("trigger_uuid", "The UUID of the build trigger")
@internal_only
class BuildTriggerSourceNamespaces(RepositoryParamResource):
| 72 | 67 | 224 | 72 | 0 | dongboyan77/quay | endpoints/api/trigger.py | Python | BuildTriggerSourceNamespaces | BuildTriggerSourceNamespaces | 538 | 561 | 538 | 542 | 2da3eb012b05b2234c0e8ccd26ae17ee397add32 | bigcode/the-stack | train |
7e57398c29642e88747a5b92 | train | class | @resource("/v1/repository/<apirepopath:repository>/trigger/<trigger_uuid>/fields/<field_name>")
@internal_only
class BuildTriggerFieldValues(RepositoryParamResource):
""" Custom verb to fetch a values list for a particular field name. """
@require_repo_admin
@disallow_for_app_repositories
@disallow_for... | @resource("/v1/repository/<apirepopath:repository>/trigger/<trigger_uuid>/fields/<field_name>")
@internal_only
class BuildTriggerFieldValues(RepositoryParamResource):
| """ Custom verb to fetch a values list for a particular field name. """
@require_repo_admin
@disallow_for_app_repositories
@disallow_for_non_normal_repositories
@nickname("listTriggerFieldValues")
def post(self, namespace_name, repo_name, trigger_uuid, field_name):
""" List the field va... | {"builds": [build_status_view(bld) for bld in builds]}
FIELD_VALUE_LIMIT = 30
@resource("/v1/repository/<apirepopath:repository>/trigger/<trigger_uuid>/fields/<field_name>")
@internal_only
class BuildTriggerFieldValues(RepositoryParamResource):
| 64 | 64 | 204 | 39 | 24 | dongboyan77/quay | endpoints/api/trigger.py | Python | BuildTriggerFieldValues | BuildTriggerFieldValues | 469 | 492 | 469 | 471 | a143f789557a24f4e08b0b756f1f5f4e9a00d1c5 | bigcode/the-stack | train |
80c0e3fd43a0e1f9c78d648c | train | class | @resource("/v1/repository/<apirepopath:repository>/trigger/<trigger_uuid>")
@path_param("repository", "The full path of the repository. e.g. namespace/name")
@path_param("trigger_uuid", "The UUID of the build trigger")
class BuildTrigger(RepositoryParamResource):
""" Resource for managing specific build triggers. "... | @resource("/v1/repository/<apirepopath:repository>/trigger/<trigger_uuid>")
@path_param("repository", "The full path of the repository. e.g. namespace/name")
@path_param("trigger_uuid", "The UUID of the build trigger")
class BuildTrigger(RepositoryParamResource):
| """ Resource for managing specific build triggers. """
schemas = {
"UpdateTrigger": {
"type": "object",
"description": "Options for updating a build trigger",
"required": ["enabled",],
"properties": {
"enabled": {
"type... | repository", "The full path of the repository. e.g. namespace/name")
class BuildTriggerList(RepositoryParamResource):
""" Resource for listing repository build triggers. """
@require_repo_admin
@disallow_for_app_repositories
@nickname("listBuildTriggers")
def get(self, namespace_name, repo_name):
... | 178 | 179 | 598 | 63 | 115 | dongboyan77/quay | endpoints/api/trigger.py | Python | BuildTrigger | BuildTrigger | 77 | 161 | 77 | 80 | a443b217bcf1367633a1b37c4543b05ebd49eb15 | bigcode/the-stack | train |
41361c0ad689d8555ce83bcb | train | function | def _prepare_webhook_url(scheme, username, password, hostname, path):
auth_hostname = "%s:%s@%s" % (username, password, hostname)
return urlunparse((scheme, auth_hostname, path, "", "", ""))
| def _prepare_webhook_url(scheme, username, password, hostname, path):
| auth_hostname = "%s:%s@%s" % (username, password, hostname)
return urlunparse((scheme, auth_hostname, path, "", "", ""))
| (
start_build,
MaximumBuildsQueuedException,
BuildTriggerDisabledException,
)
from endpoints.exception import NotFound, Unauthorized, InvalidRequest
from util.names import parse_robot_username
logger = logging.getLogger(__name__)
def _prepare_webhook_url(scheme, username, password, hostname, path):
| 64 | 64 | 54 | 17 | 47 | dongboyan77/quay | endpoints/api/trigger.py | Python | _prepare_webhook_url | _prepare_webhook_url | 50 | 52 | 50 | 50 | cc616b74fc8423d6da885b0dbd47c75494b008fb | bigcode/the-stack | train |
90e236f2d9ecf20837915f4b | train | class | @resource("/v1/repository/<apirepopath:repository>/trigger/<trigger_uuid>/subdir")
@path_param("repository", "The full path of the repository. e.g. namespace/name")
@path_param("trigger_uuid", "The UUID of the build trigger")
@internal_only
class BuildTriggerSubdirs(RepositoryParamResource):
""" Custom verb for fet... | @resource("/v1/repository/<apirepopath:repository>/trigger/<trigger_uuid>/subdir")
@path_param("repository", "The full path of the repository. e.g. namespace/name")
@path_param("trigger_uuid", "The UUID of the build trigger")
@internal_only
class BuildTriggerSubdirs(RepositoryParamResource):
| """ Custom verb for fetching the subdirs which are buildable for a trigger. """
schemas = {
"BuildTriggerSubdirRequest": {"type": "object", "description": "Arbitrary json.",},
}
@require_repo_admin
@disallow_for_app_repositories
@disallow_for_non_normal_repositories
@nickname("list... | =model.repository.get_repository(namespace_name, repo_name),
)
trigger.delete_instance(recursive=True)
if trigger.write_token is not None:
trigger.write_token.delete_instance()
return "No Content", 204
@resource("/v1/repository/<apirepopath:repository>/trigger/<trigger... | 117 | 117 | 390 | 72 | 44 | dongboyan77/quay | endpoints/api/trigger.py | Python | BuildTriggerSubdirs | BuildTriggerSubdirs | 164 | 212 | 164 | 168 | ea4a0ffb0a78b786ec25a271423dcc0a0cfe07e3 | bigcode/the-stack | train |
47127d47a4b30ff334b0f3b2 | train | class | @resource("/v1/repository/<apirepopath:repository>/trigger/<trigger_uuid>/start")
@path_param("repository", "The full path of the repository. e.g. namespace/name")
@path_param("trigger_uuid", "The UUID of the build trigger")
class ActivateBuildTrigger(RepositoryParamResource):
""" Custom verb to manually activate a... | @resource("/v1/repository/<apirepopath:repository>/trigger/<trigger_uuid>/start")
@path_param("repository", "The full path of the repository. e.g. namespace/name")
@path_param("trigger_uuid", "The UUID of the build trigger")
class ActivateBuildTrigger(RepositoryParamResource):
| """ Custom verb to manually activate a build trigger. """
schemas = {
"RunParameters": {
"type": "object",
"description": "Optional run parameters for activating the build trigger",
"properties": {
"branch_name": {
"type": "string"... | Analyzer(
handler,
namespace_name,
server_hostname,
new_config_dict,
AdministerOrganizationPermission(namespace_name).can(),
)
return trigger_analyzer.analyze_trigger()
except TriggerException as rre:
... | 163 | 163 | 546 | 66 | 97 | dongboyan77/quay | endpoints/api/trigger.py | Python | ActivateBuildTrigger | ActivateBuildTrigger | 381 | 445 | 381 | 384 | 86c000bc7e37bb81466b6512c758176b5d865776 | bigcode/the-stack | train |
ff7d79c6dd17e70843f36989 | train | class | @resource("/v1/repository/<apirepopath:repository>/trigger/<trigger_uuid>/analyze")
@path_param("repository", "The full path of the repository. e.g. namespace/name")
@path_param("trigger_uuid", "The UUID of the build trigger")
@internal_only
class BuildTriggerAnalyze(RepositoryParamResource):
""" Custom verb for an... | @resource("/v1/repository/<apirepopath:repository>/trigger/<trigger_uuid>/analyze")
@path_param("repository", "The full path of the repository. e.g. namespace/name")
@path_param("trigger_uuid", "The UUID of the build trigger")
@internal_only
class BuildTriggerAnalyze(RepositoryParamResource):
| """ Custom verb for analyzing the config for a build trigger and suggesting various changes
(such as a robot account to use for pulling)
"""
schemas = {
"BuildTriggerAnalyzeRequest": {
"type": "object",
"required": ["config"],
"properties": {"config": {"type"... | "pull_robot": trigger.pull_robot.username if trigger.pull_robot else None,
"config": final_config,
},
repo=repo,
)
return trigger_view(trigger, can_admin=True)
else:
raise Unauthorized()
@resource("/v1/r... | 120 | 120 | 403 | 71 | 49 | dongboyan77/quay | endpoints/api/trigger.py | Python | BuildTriggerAnalyze | BuildTriggerAnalyze | 326 | 378 | 326 | 330 | 30a854204c402a7ecf7712e545e684449995aeea | bigcode/the-stack | train |
b210aac4eed6472d92d84f9a | train | class | @resource("/v1/repository/<apirepopath:repository>/trigger/<trigger_uuid>/activate")
@path_param("repository", "The full path of the repository. e.g. namespace/name")
@path_param("trigger_uuid", "The UUID of the build trigger")
class BuildTriggerActivate(RepositoryParamResource):
""" Custom verb for activating a bu... | @resource("/v1/repository/<apirepopath:repository>/trigger/<trigger_uuid>/activate")
@path_param("repository", "The full path of the repository. e.g. namespace/name")
@path_param("trigger_uuid", "The UUID of the build trigger")
class BuildTriggerActivate(RepositoryParamResource):
| """ Custom verb for activating a build trigger once all required information has been collected.
"""
schemas = {
"BuildTriggerActivateRequest": {
"type": "object",
"required": ["config"],
"properties": {
"config": {"type": "object", "description": "... | (trigger.connected_user.username)
if user_permission.can():
new_config_dict = request.get_json()
handler = BuildTriggerHandler.get_handler(trigger, new_config_dict)
try:
subdirs = handler.list_build_subdirs()
context_map = {}
f... | 245 | 245 | 818 | 66 | 179 | dongboyan77/quay | endpoints/api/trigger.py | Python | BuildTriggerActivate | BuildTriggerActivate | 215 | 323 | 215 | 218 | f1f50fb10c1462a978c3cd92749eac49d43ac77b | bigcode/the-stack | train |
69ac136f7d42125f24b6c8a2 | train | class | @resource("/v1/repository/<apirepopath:repository>/trigger/<trigger_uuid>/builds")
@path_param("repository", "The full path of the repository. e.g. namespace/name")
@path_param("trigger_uuid", "The UUID of the build trigger")
class TriggerBuildList(RepositoryParamResource):
""" Resource to represent builds that wer... | @resource("/v1/repository/<apirepopath:repository>/trigger/<trigger_uuid>/builds")
@path_param("repository", "The full path of the repository. e.g. namespace/name")
@path_param("trigger_uuid", "The UUID of the build trigger")
class TriggerBuildList(RepositoryParamResource):
| """ Resource to represent builds that were activated from the specified trigger. """
@require_repo_admin
@disallow_for_app_repositories
@parse_args()
@query_param("limit", "The maximum number of builds to return", type=int, default=5)
@nickname("listTriggerRecentBuilds")
def get(self, names... | @resource("/v1/repository/<apirepopath:repository>/trigger/<trigger_uuid>/builds")
@path_param("repository", "The full path of the repository. e.g. namespace/name")
@path_param("trigger_uuid", "The UUID of the build trigger")
class TriggerBuildList(RepositoryParamResource):
| 67 | 64 | 211 | 67 | 0 | dongboyan77/quay | endpoints/api/trigger.py | Python | TriggerBuildList | TriggerBuildList | 448 | 463 | 448 | 451 | 5d1b8c8ae1e78e7a9a9519113105efbf6ede10b8 | bigcode/the-stack | train |
8f70345ba47966ecdb26dd3e | train | class | @resource("/v1/repository/<apirepopath:repository>/trigger/<trigger_uuid>/sources")
@path_param("repository", "The full path of the repository. e.g. namespace/name")
@path_param("trigger_uuid", "The UUID of the build trigger")
@internal_only
class BuildTriggerSources(RepositoryParamResource):
""" Custom verb to fet... | @resource("/v1/repository/<apirepopath:repository>/trigger/<trigger_uuid>/sources")
@path_param("repository", "The full path of the repository. e.g. namespace/name")
@path_param("trigger_uuid", "The UUID of the build trigger")
@internal_only
class BuildTriggerSources(RepositoryParamResource):
| """ Custom verb to fetch the list of build sources for the trigger config. """
schemas = {
"BuildTriggerSourcesRequest": {
"type": "object",
"description": "Specifies the namespace under which to fetch sources",
"properties": {
"namespace": {
... | if values is None:
raise NotFound()
return {"values": values}
else:
raise Unauthorized()
@resource("/v1/repository/<apirepopath:repository>/trigger/<trigger_uuid>/sources")
@path_param("repository", "The full path of the repository. e.g. namespace/name")
@path_param("tr... | 94 | 94 | 316 | 70 | 24 | dongboyan77/quay | endpoints/api/trigger.py | Python | BuildTriggerSources | BuildTriggerSources | 495 | 535 | 495 | 499 | 12421a4f68fab1d90c63b6d722b007873682a478 | bigcode/the-stack | train |
de0a05f9a592299f13898be5 | train | class | class Migration(migrations.Migration):
dependencies = [migrations.swappable_dependency(settings.AUTH_USER_MODEL)]
operations = [
migrations.CreateModel(
name="Export",
fields=[
("id", models.AutoField(verbose_name="ID", serialize=False, auto_created=True, primar... | class Migration(migrations.Migration):
| dependencies = [migrations.swappable_dependency(settings.AUTH_USER_MODEL)]
operations = [
migrations.CreateModel(
name="Export",
fields=[
("id", models.AutoField(verbose_name="ID", serialize=False, auto_created=True, primary_key=True)),
(
... | # coding=utf-8
from __future__ import unicode_literals
from django.db import models, migrations
import django.utils.timezone
from django.conf import settings
import model_utils.fields
class Migration(migrations.Migration):
| 46 | 76 | 254 | 7 | 38 | uk-gov-mirror/ministryofjustice.cla_backend | cla_backend/apps/reports/migrations/0001_initial.py | Python | Migration | Migration | 10 | 46 | 10 | 11 | 3f140aa2f7aeeb68211efe018e9c8fa7c8ea846a | bigcode/the-stack | train |
bb48547386df332775e8d626 | train | class | class btcmarkets (Exchange):
def describe(self):
return self.deep_extend(super(btcmarkets, self).describe(), {
'id': 'btcmarkets',
'name': 'BTC Markets',
'countries': 'AU', # Australia
'rateLimit': 1000, # market data cached for 1 second(trades cached for 2... | class btcmarkets (Exchange):
| def describe(self):
return self.deep_extend(super(btcmarkets, self).describe(), {
'id': 'btcmarkets',
'name': 'BTC Markets',
'countries': 'AU', # Australia
'rateLimit': 1000, # market data cached for 1 second(trades cached for 2 seconds)
'has': {... | # -*- coding: utf-8 -*-
# PLEASE DO NOT EDIT THIS FILE, IT IS GENERATED AND WILL BE OVERWRITTEN:
# https://github.com/ccxt/ccxt/blob/master/CONTRIBUTING.md#how-to-contribute-code
from ccxt.base.exchange import Exchange
import base64
import hashlib
import json
from ccxt.base.errors import ExchangeError
from ccxt.base.... | 125 | 256 | 4,082 | 6 | 118 | Kubulus1997/Trading | python/ccxt/btcmarkets.py | Python | btcmarkets | btcmarkets | 17 | 412 | 17 | 18 | 683b8e4d629bb15f9ed4c00b736d9f5fca18f9a1 | bigcode/the-stack | train |
d99736cff76695cc0040abe3 | train | function | def extractToomtummootstranslationsWordpressCom(item):
'''
Parser for 'toomtummootstranslations.wordpress.com'
'''
vol, chp, frag, postfix = extractVolChapterFragmentPostfix(item['title'])
if not (chp or vol) or "preview" in item['title'].lower():
return None
tagmap = [
('PRC', 'PRC', ... | def extractToomtummootstranslationsWordpressCom(item):
| '''
Parser for 'toomtummootstranslations.wordpress.com'
'''
vol, chp, frag, postfix = extractVolChapterFragmentPostfix(item['title'])
if not (chp or vol) or "preview" in item['title'].lower():
return None
tagmap = [
('PRC', 'PRC', 'translated'),
('Loiterous', 'Loiterous', ... | def extractToomtummootstranslationsWordpressCom(item):
| 14 | 64 | 168 | 14 | 0 | fake-name/ReadableWebProxy | WebMirror/management/rss_parser_funcs/feed_parse_extractToomtummootstranslationsWordpressCom.py | Python | extractToomtummootstranslationsWordpressCom | extractToomtummootstranslationsWordpressCom | 2 | 21 | 2 | 2 | ffd76498044f923683089131f0efe7f7a6ff6080 | bigcode/the-stack | train |
5110eab72a587d1bc3a7c89c | train | function | def smarter_repr(obj):
if isinstance(obj, datetime.datetime):
return obj.isoformat()
return repr(obj)
| def smarter_repr(obj):
| if isinstance(obj, datetime.datetime):
return obj.isoformat()
return repr(obj)
| 0.1', port=9401))
# logger.addHandler(GelfTcpHandler(host='localhost', port=12201))
# logger.info('hello gelf wow')
import json
import datetime
obj = {
"a": 1,
"b": 2,
}
def smarter_repr(obj):
| 64 | 64 | 24 | 5 | 59 | sillygod/django-as-pure-api-server | test.py | Python | smarter_repr | smarter_repr | 20 | 23 | 20 | 20 | 7c4f6a2ec34b9e8c66e0dbcbb11b63459522e550 | bigcode/the-stack | train |
5a8b5a0aced0e677357339a7 | train | class | class AsyncSearchClient(NamespacedClient):
@query_params()
def delete(self, id, params=None, headers=None):
"""
Deletes an async search by ID. If the search is still running, the search
request will be cancelled. Otherwise, the saved search results are deleted.
`<https://www.ela... | class AsyncSearchClient(NamespacedClient):
@query_params()
| def delete(self, id, params=None, headers=None):
"""
Deletes an async search by ID. If the search is still running, the search
request will be cancelled. Otherwise, the saved search results are deleted.
`<https://www.elastic.co/guide/en/elasticsearch/reference/master/async-search.ht... | # Licensed to Elasticsearch B.V. under one or more contributor
# license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright
# ownership. Elasticsearch B.V. licenses this file to you under
# the Apache License, Version 2.0 (the "License"); you may
# not use ... | 216 | 256 | 1,956 | 14 | 201 | danielpine/elasticsearch-py | elasticsearch/client/async_search.py | Python | AsyncSearchClient | AsyncSearchClient | 21 | 228 | 21 | 22 | eecaf9111ff11fe16a0e18beefd9d7bffd2bab2e | bigcode/the-stack | train |
b6565f99b8a22e2f4d1cbe40 | train | class | class WorkflowMenuItem(zeit.cms.browser.menu.ContextViewsMenu):
"""The Workflow menu item which is active when no other item is active."""
def render(self):
return ''
| class WorkflowMenuItem(zeit.cms.browser.menu.ContextViewsMenu):
| """The Workflow menu item which is active when no other item is active."""
def render(self):
return ''
| from zeit.cms.i18n import MessageFactory as _
import zeit.cms.browser.menu
import zeit.cms.checkout
class WorkflowMenuItem(zeit.cms.browser.menu.ContextViewsMenu):
| 35 | 64 | 37 | 13 | 21 | ZeitOnline/zeit.content.article | src/zeit/content/article/browser/menu.py | Python | WorkflowMenuItem | WorkflowMenuItem | 6 | 9 | 6 | 6 | 9af8e260dcb177c6a66a8eada6f13cf7f5191bdc | bigcode/the-stack | train |
83bdbe300f3d30f3d0d2844f | train | class | class EditContentsMenuItem(zeit.cms.browser.menu.ContextViewsMenu):
"""The Workflow menu item which is active when no other item is active."""
sort = -1
viewURL = "@@edit.html"
activeCSS = 'edit_contents selected'
inActiveCSS = 'edit_contents'
@property
def title(self):
"""Changes ... | class EditContentsMenuItem(zeit.cms.browser.menu.ContextViewsMenu):
| """The Workflow menu item which is active when no other item is active."""
sort = -1
viewURL = "@@edit.html"
activeCSS = 'edit_contents selected'
inActiveCSS = 'edit_contents'
@property
def title(self):
"""Changes wheter item is checked out or checked in"""
checkout = zeit.... | _
import zeit.cms.browser.menu
import zeit.cms.checkout
class WorkflowMenuItem(zeit.cms.browser.menu.ContextViewsMenu):
"""The Workflow menu item which is active when no other item is active."""
def render(self):
return ''
class EditContentsMenuItem(zeit.cms.browser.menu.ContextViewsMenu):
| 63 | 64 | 173 | 14 | 49 | ZeitOnline/zeit.content.article | src/zeit/content/article/browser/menu.py | Python | EditContentsMenuItem | EditContentsMenuItem | 12 | 33 | 12 | 12 | 2b1772bb42a2ba9508a09b11a9080e4b63c5d9f7 | bigcode/the-stack | train |
548af30cca3d05fadcdbb4a0 | train | class | class FSBidListBidRegisterView(APIView):
permission_classes = (IsAuthenticated, isDjangoGroupMember('cdo'),)
def put(self, request, pk, client_id):
'''
Registers a bid
'''
jwt = request.META['HTTP_JWT']
try:
services.register_bid_on_position(client_id, pk, ... | class FSBidListBidRegisterView(APIView):
| permission_classes = (IsAuthenticated, isDjangoGroupMember('cdo'),)
def put(self, request, pk, client_id):
'''
Registers a bid
'''
jwt = request.META['HTTP_JWT']
try:
services.register_bid_on_position(client_id, pk, jwt)
user = UserProfile.object... | emp_id={client_id} did not exist. No notification created for submitting bid on position id={pk}.")
return Response(status=status.HTTP_204_NO_CONTENT)
message = f"Bid on a position has been submitted by CDO {user}."
if owner:
Notification.objects.cr... | 181 | 181 | 606 | 11 | 170 | MetaPhase-Consulting/State-TalentMAP-API | talentmap_api/fsbid/views/cdo.py | Python | FSBidListBidRegisterView | FSBidListBidRegisterView | 97 | 160 | 97 | 98 | 9a0087e0cf32ef54b368df1f8108303269d2d0dd | bigcode/the-stack | train |
eff69f835cd9026c655e301e | train | class | class FSBidCDOListView(BaseView):
def get(self, request):
'''
Gets all cdos
'''
return Response(cdoServices.cdo(request.META['HTTP_JWT']))
| class FSBidCDOListView(BaseView):
| def get(self, request):
'''
Gets all cdos
'''
return Response(cdoServices.cdo(request.META['HTTP_JWT']))
| registeredHandshakeNotification
import talentmap_api.fsbid.services.bid as services
import talentmap_api.fsbid.services.cdo as cdoServices
import talentmap_api.fsbid.services.classifications as classifications_services
logger = logging.getLogger(__name__)
class FSBidCDOListView(BaseView):
| 64 | 64 | 44 | 11 | 53 | MetaPhase-Consulting/State-TalentMAP-API | talentmap_api/fsbid/views/cdo.py | Python | FSBidCDOListView | FSBidCDOListView | 23 | 29 | 23 | 24 | 66fe53e021f06398004a3bee709b054d7f7b32b1 | bigcode/the-stack | train |
81d4c46819cf72a1251f2bf1 | train | class | class FSBidClientEditClassifications(APIView):
permission_classes = (IsAuthenticated, isDjangoGroupMember('cdo'),)
def put(self, request, client_id):
'''
Inserts/Deletes the classifications for the client
'''
try:
id = []
if request.data['insert']:
... | class FSBidClientEditClassifications(APIView):
| permission_classes = (IsAuthenticated, isDjangoGroupMember('cdo'),)
def put(self, request, client_id):
'''
Inserts/Deletes the classifications for the client
'''
try:
id = []
if request.data['insert']:
id = classifications_services.insert_... | if owner:
Notification.objects.create(owner=owner,
tags=['bidding'],
message=f"Bid on position id={pk} has been removed from your bid list by CDO {user}")
return Response(status=status.HTTP_204_NO_CONTENT)
class ... | 64 | 64 | 193 | 11 | 53 | MetaPhase-Consulting/State-TalentMAP-API | talentmap_api/fsbid/views/cdo.py | Python | FSBidClientEditClassifications | FSBidClientEditClassifications | 216 | 233 | 216 | 217 | 53fe207e68428143ffafef1d766f34ffb2fd5af3 | bigcode/the-stack | train |
2fae2b8ac96beada777a4a4c | train | class | class FSBidListView(BaseView):
permission_classes = (IsAuthenticated, isDjangoGroupMember('cdo'),)
def get(self, request, client_id):
'''
Gets all bids for the client user
'''
return Response({"results": services.user_bids(client_id, request.META['HTTP_JWT'], query=request.quer... | class FSBidListView(BaseView):
| permission_classes = (IsAuthenticated, isDjangoGroupMember('cdo'),)
def get(self, request, client_id):
'''
Gets all bids for the client user
'''
return Response({"results": services.user_bids(client_id, request.META['HTTP_JWT'], query=request.query_params)})
| class FSBidCDOView(BaseView):
def get(self, request, pk):
'''
Gets a single cdo by client's perdet_seq_num
'''
return Response(cdoServices.single_cdo(request.META['HTTP_JWT'], pk))
class FSBidListView(BaseView):
| 64 | 64 | 76 | 9 | 55 | MetaPhase-Consulting/State-TalentMAP-API | talentmap_api/fsbid/views/cdo.py | Python | FSBidListView | FSBidListView | 41 | 49 | 41 | 42 | 1c5a43ab10125cb1bd99859929206b1a9d01def5 | bigcode/the-stack | train |
fe46664c423ed68ca74dd1a3 | train | class | class FSBidListPositionActionView(BaseView):
'''
list:
Lists all bids for the clients's current bidlist
'''
permission_classes = (IsAuthenticated, isDjangoGroupMember('cdo'),)
def get(self, request, pk, client_id, format=None):
'''
Indicates if the position is in the client's bi... | class FSBidListPositionActionView(BaseView):
| '''
list:
Lists all bids for the clients's current bidlist
'''
permission_classes = (IsAuthenticated, isDjangoGroupMember('cdo'),)
def get(self, request, pk, client_id, format=None):
'''
Indicates if the position is in the client's bidlist
Returns 204 if the position is... | bid on position id={pk}.")
return Response(status=status.HTTP_204_NO_CONTENT)
if owner:
Notification.objects.create(owner=owner,
tags=['bidding'],
message=f"Bid on position has been unre... | 151 | 151 | 504 | 11 | 140 | MetaPhase-Consulting/State-TalentMAP-API | talentmap_api/fsbid/views/cdo.py | Python | FSBidListPositionActionView | FSBidListPositionActionView | 163 | 213 | 163 | 163 | 21323a1b7300977e9e88c74d1e1ebe274574f6f6 | bigcode/the-stack | train |
0b238e6722db53d4dabbc2de | train | class | class FSBidListBidActionView(APIView):
permission_classes = (IsAuthenticated, isDjangoGroupMember('cdo'),)
def put(self, request, pk, client_id):
'''
Submits a bid (sets status to A)
'''
try:
services.submit_bid_on_position(client_id, pk, request.META['HTTP_JWT'])
... | class FSBidListBidActionView(APIView):
| permission_classes = (IsAuthenticated, isDjangoGroupMember('cdo'),)
def put(self, request, pk, client_id):
'''
Submits a bid (sets status to A)
'''
try:
services.submit_bid_on_position(client_id, pk, request.META['HTTP_JWT'])
user = UserProfile.objects.ge... | DjangoGroupMember('cdo'),)
@classmethod
def get_extra_actions(cls):
return []
def get(self, request, client_id, **kwargs):
'''
Exports all bids for the client's user to CSV
'''
return services.get_user_bids_csv(client_id, request.META['HTTP_JWT'], query=request.quer... | 87 | 87 | 292 | 11 | 76 | MetaPhase-Consulting/State-TalentMAP-API | talentmap_api/fsbid/views/cdo.py | Python | FSBidListBidActionView | FSBidListBidActionView | 67 | 94 | 67 | 68 | 00c2795ff3aeb4a1f0fd7ad44cc7f905f9251f0f | bigcode/the-stack | train |
384872a6f452c7a827b6f410 | train | class | class FSBidBidClientListCSVView(APIView):
permission_classes = (IsAuthenticated, isDjangoGroupMember('cdo'),)
@classmethod
def get_extra_actions(cls):
return []
def get(self, request, client_id, **kwargs):
'''
Exports all bids for the client's user to CSV
'''
r... | class FSBidBidClientListCSVView(APIView):
| permission_classes = (IsAuthenticated, isDjangoGroupMember('cdo'),)
@classmethod
def get_extra_actions(cls):
return []
def get(self, request, client_id, **kwargs):
'''
Exports all bids for the client's user to CSV
'''
return services.get_user_bids_csv(client_id,... | '),)
def get(self, request, client_id):
'''
Gets all bids for the client user
'''
return Response({"results": services.user_bids(client_id, request.META['HTTP_JWT'], query=request.query_params)})
class FSBidBidClientListCSVView(APIView):
| 63 | 64 | 97 | 12 | 52 | MetaPhase-Consulting/State-TalentMAP-API | talentmap_api/fsbid/views/cdo.py | Python | FSBidBidClientListCSVView | FSBidBidClientListCSVView | 52 | 64 | 52 | 53 | 5042b8e9ed4165f03be3302285c0ccaadc55df22 | bigcode/the-stack | train |
532c1aea7e66fe241e6e03cf | train | class | class FSBidCDOView(BaseView):
def get(self, request, pk):
'''
Gets a single cdo by client's perdet_seq_num
'''
return Response(cdoServices.single_cdo(request.META['HTTP_JWT'], pk))
| class FSBidCDOView(BaseView):
| def get(self, request, pk):
'''
Gets a single cdo by client's perdet_seq_num
'''
return Response(cdoServices.single_cdo(request.META['HTTP_JWT'], pk))
|
logger = logging.getLogger(__name__)
class FSBidCDOListView(BaseView):
def get(self, request):
'''
Gets all cdos
'''
return Response(cdoServices.cdo(request.META['HTTP_JWT']))
class FSBidCDOView(BaseView):
| 63 | 64 | 55 | 10 | 53 | MetaPhase-Consulting/State-TalentMAP-API | talentmap_api/fsbid/views/cdo.py | Python | FSBidCDOView | FSBidCDOView | 32 | 38 | 32 | 33 | 4a9ec4a937d04d9761b7acd0756b1eb1a3b64df5 | bigcode/the-stack | train |
578f11f2e3ddff1706611995 | train | function | @pytest.mark.level1
@pytest.mark.platform_arm_ascend_training
@pytest.mark.platform_x86_gpu_training
@pytest.mark.env_onecard
def test_while_with_param_basic_grad_mul():
class MyWhileNet(nn.Cell):
def __init__(self):
super().__init__()
self.max = P.ReduceMax()
self.param ... | @pytest.mark.level1
@pytest.mark.platform_arm_ascend_training
@pytest.mark.platform_x86_gpu_training
@pytest.mark.env_onecard
def test_while_with_param_basic_grad_mul():
| class MyWhileNet(nn.Cell):
def __init__(self):
super().__init__()
self.max = P.ReduceMax()
self.param = Parameter(Tensor(np.arange(2 * 2 * 2).reshape((2, 2, 2)), ms.float32), name="weight")
self.zero = Tensor(np.ones(([2, 2, 2])), ms.float32)
self.... | = MyWhileNet()
net = GradNet(while_net)
graph_output = net(idx, end, x)
expect = np.array([[[4, 4], [4, 4]],
[[4, 4], [4, 4]]]).astype(np.float32)
assert np.allclose(graph_output[0].asnumpy(), expect, 0.0001, 0.0001)
@pytest.mark.level1
@pytest.mark.platform_arm_ascend_training
@... | 127 | 127 | 424 | 38 | 89 | PowerOlive/mindspore | tests/st/control/test_cont_grad.py | Python | test_while_with_param_basic_grad_mul | test_while_with_param_basic_grad_mul | 599 | 638 | 599 | 603 | 9bd9cf477d8dbcbcd864061ecbe9151f7b0de8f2 | bigcode/the-stack | train |
aeccec04410e2081022c680b | train | function | @pytest.mark.level1
@pytest.mark.platform_arm_ascend_training
@pytest.mark.platform_x86_gpu_training
@pytest.mark.env_onecard
def test_if_by_if_return_inside_grad():
class MyIfByIfNet(nn.Cell):
def __init__(self):
super().__init__()
self.max = P.ReduceMax()
self.param = P... | @pytest.mark.level1
@pytest.mark.platform_arm_ascend_training
@pytest.mark.platform_x86_gpu_training
@pytest.mark.env_onecard
def test_if_by_if_return_inside_grad():
| class MyIfByIfNet(nn.Cell):
def __init__(self):
super().__init__()
self.max = P.ReduceMax()
self.param = Parameter(Tensor(np.arange(2 * 2 * 2).reshape((2, 2, 2)), ms.float32), name="weight")
self.zero = Tensor(np.zeros(([2, 2, 2])), ms.float32)
def co... | ByIfNet()
net = GradNet(if_net)
graph_output = net(idx, end, x)
expect = np.array([[[0, 0], [0, 0]],
[[0, 0], [0, 0]]]).astype(np.float32)
assert np.allclose(graph_output[0].asnumpy(), expect, 0.0001, 0.0001)
@pytest.mark.level1
@pytest.mark.platform_arm_ascend_training
@pytest.m... | 124 | 124 | 415 | 37 | 87 | PowerOlive/mindspore | tests/st/control/test_cont_grad.py | Python | test_if_by_if_return_inside_grad | test_if_by_if_return_inside_grad | 988 | 1,028 | 988 | 992 | 260ba20602b06c8320f27420e66323e1e91de292 | bigcode/the-stack | train |
36dc0333ca8e882f20d5c35f | train | function | @pytest.mark.level0
@pytest.mark.platform_arm_ascend_training
@pytest.mark.platform_x86_gpu_training
@pytest.mark.env_onecard
def test_while_with_param_forward_with_const_branch():
class MyWhileNet(nn.Cell):
def __init__(self):
super().__init__()
self.max = P.ReduceMax()
... | @pytest.mark.level0
@pytest.mark.platform_arm_ascend_training
@pytest.mark.platform_x86_gpu_training
@pytest.mark.env_onecard
def test_while_with_param_forward_with_const_branch():
| class MyWhileNet(nn.Cell):
def __init__(self):
super().__init__()
self.max = P.ReduceMax()
self.param = Parameter(Tensor(np.arange(2 * 2 * 2).reshape((2, 2, 2)), ms.float32), name="weight")
self.zero = Tensor(np.zeros(([2, 2, 2])), ms.float32)
self... | , end, x)
expect = np.array([[[2, 2], [2, 2]], [[2, 2], [2, 2]]], dtype=np.int32)
assert np.allclose(graph_output[0].asnumpy(), expect, 0.0001, 0.0001)
@pytest.mark.level0
@pytest.mark.platform_arm_ascend_training
@pytest.mark.platform_x86_gpu_training
@pytest.mark.env_onecard
def test_while_with_param_forward_... | 107 | 107 | 358 | 39 | 68 | PowerOlive/mindspore | tests/st/control/test_cont_grad.py | Python | test_while_with_param_forward_with_const_branch | test_while_with_param_forward_with_const_branch | 249 | 283 | 249 | 253 | 6dda71de0b47755ef784069aefc9df18c578d10b | bigcode/the-stack | train |
2b5fa924163a329a01ea728e | train | function | @pytest.mark.level1
@pytest.mark.platform_x86_cpu
@pytest.mark.platform_x86_gpu_training
@pytest.mark.env_onecard
def test_if_by_if_const_grad():
class MyNet(nn.Cell):
def __init__(self):
super().__init__()
self.add = P.Add()
def construct(self, *inputs):
out = s... | @pytest.mark.level1
@pytest.mark.platform_x86_cpu
@pytest.mark.platform_x86_gpu_training
@pytest.mark.env_onecard
def test_if_by_if_const_grad():
| class MyNet(nn.Cell):
def __init__(self):
super().__init__()
self.add = P.Add()
def construct(self, *inputs):
out = self.add(*inputs)
return out
class GradNet(nn.Cell):
def __init__(self, net):
super(GradNet, self).__init__()
... | net = GradNet(my_net)
a = Tensor(np.array(0), dtype=ms.int32)
b = Tensor(np.array(1), dtype=ms.int32)
net(a, b)
@pytest.mark.level1
@pytest.mark.platform_x86_cpu
@pytest.mark.platform_x86_gpu_training
@pytest.mark.env_onecard
def test_if_by_if_const_grad():
| 78 | 78 | 262 | 34 | 44 | PowerOlive/mindspore | tests/st/control/test_cont_grad.py | Python | test_if_by_if_const_grad | test_if_by_if_const_grad | 1,498 | 1,535 | 1,498 | 1,502 | 4ee761fb9ce77ad72e5e48be466ea19c00cb9098 | bigcode/the-stack | train |
f7b0e10c0307517227495dfe | train | function | @pytest.mark.level0
@pytest.mark.platform_arm_ascend_training
@pytest.mark.platform_x86_gpu_training
@pytest.mark.env_onecard
def test_while_with_variable_grad():
class MyWhileNet(nn.Cell):
def __init__(self):
super().__init__()
self.mul = P.Mul()
self.add = P.Add()
... | @pytest.mark.level0
@pytest.mark.platform_arm_ascend_training
@pytest.mark.platform_x86_gpu_training
@pytest.mark.env_onecard
def test_while_with_variable_grad():
| class MyWhileNet(nn.Cell):
def __init__(self):
super().__init__()
self.mul = P.Mul()
self.add = P.Add()
def construct(self, x, y):
while x < y:
z = self.mul(x, x)
x = self.add(z, y)
return x
class GradN... | =np.float32)
assert np.allclose(graph_output[0].asnumpy(), expect_one, 0.0001, 0.0001)
assert np.allclose(graph_output[1].asnumpy(), expect_two, 0.0001, 0.0001)
@pytest.mark.level0
@pytest.mark.platform_arm_ascend_training
@pytest.mark.platform_x86_gpu_training
@pytest.mark.env_onecard
def test_while_with_varia... | 96 | 96 | 322 | 36 | 60 | PowerOlive/mindspore | tests/st/control/test_cont_grad.py | Python | test_while_with_variable_grad | test_while_with_variable_grad | 103 | 137 | 103 | 107 | 7389a66c75c64652d9df5bc877bb23d87b400181 | bigcode/the-stack | train |
5d5c9c07a448aea442b6a685 | train | function | @pytest.mark.level0
@pytest.mark.platform_arm_ascend_training
@pytest.mark.platform_x86_gpu_training
@pytest.mark.env_onecard
def test_if_by_if_forward_control_inside_net():
class Branch3Net(nn.Cell):
def __init__(self):
super().__init__()
self.add = P.Add()
self.sub = P.... | @pytest.mark.level0
@pytest.mark.platform_arm_ascend_training
@pytest.mark.platform_x86_gpu_training
@pytest.mark.env_onecard
def test_if_by_if_forward_control_inside_net():
| class Branch3Net(nn.Cell):
def __init__(self):
super().__init__()
self.add = P.Add()
self.sub = P.Sub()
self.mul = P.Mul()
self.div = P.RealDiv()
def construct(self, a, b, x):
if b == x:
b = self.add(a, b)
... | 32)
end = Tensor(np.array(3), dtype=ms.float32)
x = Tensor(np.array(0), dtype=ms.float32)
# graph mode
context.set_context(mode=context.GRAPH_MODE)
if_net = MyIfByIfNet()
net = if_net
graph_output = net(idx, end, x)
expect = 4.444444
assert np.allclose(graph_output.asnumpy(), expect,... | 145 | 145 | 485 | 38 | 107 | PowerOlive/mindspore | tests/st/control/test_cont_grad.py | Python | test_if_by_if_forward_control_inside_net | test_if_by_if_forward_control_inside_net | 1,142 | 1,206 | 1,142 | 1,146 | 88cb6a31f3de0360e3ecab7d673ebbfa64c0eb37 | bigcode/the-stack | train |
a21d21d8d29fa9b635139935 | train | function | @pytest.mark.level1
@pytest.mark.platform_x86_cpu
@pytest.mark.platform_x86_gpu_training
@pytest.mark.env_onecard
def test_if_const_grad():
class MyNet(nn.Cell):
def __init__(self):
super().__init__()
self.add = P.Add()
def construct(self, *inputs):
out = self.ad... | @pytest.mark.level1
@pytest.mark.platform_x86_cpu
@pytest.mark.platform_x86_gpu_training
@pytest.mark.env_onecard
def test_if_const_grad():
| class MyNet(nn.Cell):
def __init__(self):
super().__init__()
self.add = P.Add()
def construct(self, *inputs):
out = self.add(*inputs)
return out
class GradNet(nn.Cell):
def __init__(self, net):
super(GradNet, self).__init__()
... | (idx, end, x)
expect = 240.0
assert np.allclose(graph_output.asnumpy(), expect, 0.0001, 0.0001)
@pytest.mark.level1
@pytest.mark.platform_x86_cpu
@pytest.mark.platform_x86_gpu_training
@pytest.mark.env_onecard
def test_if_const_grad():
| 70 | 70 | 234 | 32 | 38 | PowerOlive/mindspore | tests/st/control/test_cont_grad.py | Python | test_if_const_grad | test_if_const_grad | 1,462 | 1,495 | 1,462 | 1,466 | aed60f16b4bd930eb68a5f9065b5a93f64b82c81 | bigcode/the-stack | train |
d8c3219bac57497a20c5e054 | train | function | @pytest.mark.level0
@pytest.mark.platform_arm_ascend_training
@pytest.mark.platform_x86_gpu_training
@pytest.mark.env_onecard
def test_for_while_with_param_grad_normal():
class MyWhileNet(nn.Cell):
def __init__(self):
super().__init__()
self.max = P.ReduceMax()
self.param... | @pytest.mark.level0
@pytest.mark.platform_arm_ascend_training
@pytest.mark.platform_x86_gpu_training
@pytest.mark.env_onecard
def test_for_while_with_param_grad_normal():
| class MyWhileNet(nn.Cell):
def __init__(self):
super().__init__()
self.max = P.ReduceMax()
self.param = Parameter(Tensor(np.arange(2 * 2 * 2).reshape((2, 2, 2)), ms.float32), name="weight")
self.zero = Tensor(np.zeros(([2, 2, 2])), ms.float32)
self... | APH_MODE)
while_net = MyWhileNet()
net = GradNet(while_net)
graph_output = net(idx, end, x)
expect = np.array([[[8, 8], [8, 8]],
[[8, 8], [8, 8]]]).astype(np.float32)
assert np.allclose(graph_output[0].asnumpy(), expect, 0.0001, 0.0001)
@pytest.mark.level0
@pytest.mark.platfor... | 133 | 133 | 445 | 38 | 95 | PowerOlive/mindspore | tests/st/control/test_cont_grad.py | Python | test_for_while_with_param_grad_normal | test_for_while_with_param_grad_normal | 512 | 554 | 512 | 516 | 4639853084dd41ee6760f96affc6690d5d7db56a | bigcode/the-stack | train |
37dd99c54d354a83c982d71d | train | function | @pytest.mark.level0
@pytest.mark.platform_arm_ascend_training
@pytest.mark.platform_x86_gpu_training
@pytest.mark.env_onecard
def test_with_param_if_by_if_forward():
class MyIfByIfNet(nn.Cell):
def __init__(self):
super().__init__()
self.max = P.ReduceMax()
self.param = P... | @pytest.mark.level0
@pytest.mark.platform_arm_ascend_training
@pytest.mark.platform_x86_gpu_training
@pytest.mark.env_onecard
def test_with_param_if_by_if_forward():
| class MyIfByIfNet(nn.Cell):
def __init__(self):
super().__init__()
self.max = P.ReduceMax()
self.param = Parameter(Tensor(np.arange(2 * 2 * 2).reshape((2, 2, 2)), ms.float32), name="weight")
self.zero = Tensor(np.zeros(([2, 2, 2])), ms.float32)
def co... | # graph mode
context.set_context(mode=context.GRAPH_MODE)
while_net = MyWhileNet()
net = GradNet(while_net)
graph_output = net(idx, end, x)
assert np.allclose(graph_output[0].asnumpy(), 1, 0.0001, 0.0001)
@pytest.mark.level0
@pytest.mark.platform_arm_ascend_training
@pytest.mark.platform_x86_gp... | 108 | 108 | 362 | 37 | 71 | PowerOlive/mindspore | tests/st/control/test_cont_grad.py | Python | test_with_param_if_by_if_forward | test_with_param_if_by_if_forward | 822 | 856 | 822 | 826 | 75e10f6390d7d1e3a8ebc54518f73c6beaeda44d | bigcode/the-stack | train |
28e585d2e3b613d8cdb7f810 | train | function | @pytest.mark.level1
@pytest.mark.platform_arm_ascend_training
@pytest.mark.platform_x86_gpu_training
@pytest.mark.env_onecard
def test_while_with_param_grad():
class MyWhileNet(nn.Cell):
def __init__(self):
super().__init__()
self.max = P.ReduceMax()
self.param = Paramete... | @pytest.mark.level1
@pytest.mark.platform_arm_ascend_training
@pytest.mark.platform_x86_gpu_training
@pytest.mark.env_onecard
def test_while_with_param_grad():
| class MyWhileNet(nn.Cell):
def __init__(self):
super().__init__()
self.max = P.ReduceMax()
self.param = Parameter(Tensor(np.arange(2 * 2 * 2).reshape((2, 2, 2)), ms.float32), name="weight")
self.zero = Tensor(np.zeros(([2, 2, 2])), ms.float32)
def con... | graph mode
context.set_context(mode=context.GRAPH_MODE)
net = MyWhileNet()
graph_output = net(idx, end, x)
expect = np.array([[[4, 6], [8, 10]],
[[4, 6], [8, 10]]]).astype(np.float32)
assert np.allclose(graph_output.asnumpy(), expect, 0.0001, 0.0001)
@pytest.mark.level1
@pyte... | 128 | 128 | 428 | 36 | 92 | PowerOlive/mindspore | tests/st/control/test_cont_grad.py | Python | test_while_with_param_grad | test_while_with_param_grad | 207 | 246 | 207 | 211 | a4b485e3e038211de6f2cbd998d88597e0b47af2 | bigcode/the-stack | train |
18a3e5d518be8c5fe008a6f3 | train | function | @pytest.mark.level0
@pytest.mark.platform_arm_ascend_training
@pytest.mark.platform_x86_gpu_training
@pytest.mark.env_onecard
def test_with_param_if_by_if_grad_param_excute_null():
class MyIfByIfNet(nn.Cell):
def __init__(self):
super().__init__()
self.max = P.ReduceMax()
... | @pytest.mark.level0
@pytest.mark.platform_arm_ascend_training
@pytest.mark.platform_x86_gpu_training
@pytest.mark.env_onecard
def test_with_param_if_by_if_grad_param_excute_null():
| class MyIfByIfNet(nn.Cell):
def __init__(self):
super().__init__()
self.max = P.ReduceMax()
self.param = Parameter(Tensor(np.arange(2 * 2 * 2).reshape((2, 2, 2)), ms.float32), name="weight")
self.zero = Tensor(np.zeros(([2, 2, 2])), ms.float32)
def co... | Net(if_net)
graph_output = net(idx, end, x)
expect = np.array([[[2, 2], [2, 2]],
[[2, 2], [2, 2]]]).astype(np.float32)
assert np.allclose(graph_output[0].asnumpy(), expect, 0.0001, 0.0001)
@pytest.mark.level0
@pytest.mark.platform_arm_ascend_training
@pytest.mark.platform_x86_gpu_tra... | 120 | 120 | 401 | 41 | 79 | PowerOlive/mindspore | tests/st/control/test_cont_grad.py | Python | test_with_param_if_by_if_grad_param_excute_null | test_with_param_if_by_if_grad_param_excute_null | 947 | 985 | 947 | 951 | 2ae505655c2adb08a233e3d696b05b2338c69b0f | bigcode/the-stack | train |
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