task stringclasses 4
values | prompt stringlengths 60 573k | completion stringlengths 60 683k | source_language stringclasses 2
values | target_language stringclasses 4
values | run_name stringclasses 2
values | example_index int64 1 100k | source_metadata dict | hashes dict | source_compile_ok bool 1
class | roundtrip_compile_ok bool 1
class | runtime_signature_match null |
|---|---|---|---|---|---|---|---|---|---|---|---|
python_to_en_plaincode | from graphviz import Digraph
from collections import namedtuple
class NetworkGraph:
''' Representation of the network connections.
This class contains the entities in the network e.g. hosts or switches.
And the connections between them.
'''
Vertex = namedtuple('Vertexes', ['hosts', 'switc... | Load Digraph from graphviz.
Load namedtuple from collections.
Define class NetworkGraph:
Text block:
" Representation of the network connections."
" This class contains the entities in the network e.g. hosts or switches."
" And the connections between them."
" ".
Set Vertex to n... | python | en | run_002_20260417_060406 | 176 | {
"max_stars_repo_path": "python/sysmap/graph.py",
"max_stars_repo_name": "harryherold/sysmap",
"max_stars_count": 1,
"id": "302",
"raw_source_hash": "6dca397bbd4fa32ed47926bf21d5ecfd5e72c91a404a5d14fcff61cf6d22333b",
"sanitize_meta": {
"triple_block_count": 8,
"total_triple_chars": 1259,
"large... | {
"raw_source_hash": "6dca397bbd4fa32ed47926bf21d5ecfd5e72c91a404a5d14fcff61cf6d22333b",
"normalized_source_hash": "41681777ea7a0d8b35a79a01072760b7d5f0228a688e825751a8374a85248dcb",
"source_ast_hash": "780a6a44fae7ca5f7ed188bcab6a4f9dae89c89b357b5c0428ef67ea6b7053dc",
"artifact_hash": "5bf9d57ec042543551c27f42... | true | true | null |
python_to_es_plaincode | from graphviz import Digraph
from collections import namedtuple
class NetworkGraph:
''' Representation of the network connections.
This class contains the entities in the network e.g. hosts or switches.
And the connections between them.
'''
Vertex = namedtuple('Vertexes', ['hosts', 'switc... | Importar Digraph desde graphviz.
Importar namedtuple desde collections.
Definir clase NetworkGraph:
Texto literal:
" Representation of the network connections."
" This class contains the entities in the network e.g. hosts or switches."
" And the connections between them."
" ".
E... | python | es | run_002_20260417_060406 | 176 | {
"max_stars_repo_path": "python/sysmap/graph.py",
"max_stars_repo_name": "harryherold/sysmap",
"max_stars_count": 1,
"id": "302",
"raw_source_hash": "6dca397bbd4fa32ed47926bf21d5ecfd5e72c91a404a5d14fcff61cf6d22333b",
"sanitize_meta": {
"triple_block_count": 8,
"total_triple_chars": 1259,
"large... | {
"raw_source_hash": "6dca397bbd4fa32ed47926bf21d5ecfd5e72c91a404a5d14fcff61cf6d22333b",
"normalized_source_hash": "41681777ea7a0d8b35a79a01072760b7d5f0228a688e825751a8374a85248dcb",
"source_ast_hash": "780a6a44fae7ca5f7ed188bcab6a4f9dae89c89b357b5c0428ef67ea6b7053dc",
"artifact_hash": "5bf9d57ec042543551c27f42... | true | true | null |
python_to_fr_plaincode | from graphviz import Digraph
from collections import namedtuple
class NetworkGraph:
''' Representation of the network connections.
This class contains the entities in the network e.g. hosts or switches.
And the connections between them.
'''
Vertex = namedtuple('Vertexes', ['hosts', 'switc... | Charger Digraph depuis graphviz.
Charger namedtuple depuis collections.
Définir classe NetworkGraph:
Texte littéral:
" Representation of the network connections."
" This class contains the entities in the network e.g. hosts or switches."
" And the connections between them."
" ".
... | python | fr | run_002_20260417_060406 | 176 | {
"max_stars_repo_path": "python/sysmap/graph.py",
"max_stars_repo_name": "harryherold/sysmap",
"max_stars_count": 1,
"id": "302",
"raw_source_hash": "6dca397bbd4fa32ed47926bf21d5ecfd5e72c91a404a5d14fcff61cf6d22333b",
"sanitize_meta": {
"triple_block_count": 8,
"total_triple_chars": 1259,
"large... | {
"raw_source_hash": "6dca397bbd4fa32ed47926bf21d5ecfd5e72c91a404a5d14fcff61cf6d22333b",
"normalized_source_hash": "41681777ea7a0d8b35a79a01072760b7d5f0228a688e825751a8374a85248dcb",
"source_ast_hash": "780a6a44fae7ca5f7ed188bcab6a4f9dae89c89b357b5c0428ef67ea6b7053dc",
"artifact_hash": "5bf9d57ec042543551c27f42... | true | true | null |
en_plaincode_to_python | Load Digraph from graphviz.
Load namedtuple from collections.
Define class NetworkGraph:
Text block:
" Representation of the network connections."
" This class contains the entities in the network e.g. hosts or switches."
" And the connections between them."
" ".
Set Vertex to n... | from graphviz import Digraph
from collections import namedtuple
class NetworkGraph:
''' Representation of the network connections.
This class contains the entities in the network e.g. hosts or switches.
And the connections between them.
'''
Vertex = namedtuple('Vertexes', ['hosts', 'switc... | en | python | run_002_20260417_060406 | 176 | {
"max_stars_repo_path": "python/sysmap/graph.py",
"max_stars_repo_name": "harryherold/sysmap",
"max_stars_count": 1,
"id": "302",
"raw_source_hash": "6dca397bbd4fa32ed47926bf21d5ecfd5e72c91a404a5d14fcff61cf6d22333b",
"sanitize_meta": {
"triple_block_count": 8,
"total_triple_chars": 1259,
"large... | {
"raw_source_hash": "6dca397bbd4fa32ed47926bf21d5ecfd5e72c91a404a5d14fcff61cf6d22333b",
"normalized_source_hash": "41681777ea7a0d8b35a79a01072760b7d5f0228a688e825751a8374a85248dcb",
"source_ast_hash": "780a6a44fae7ca5f7ed188bcab6a4f9dae89c89b357b5c0428ef67ea6b7053dc",
"artifact_hash": "5bf9d57ec042543551c27f42... | true | true | null |
python_to_en_plaincode | from turtle import Turtle
SPEED = 10
class Ball(Turtle):
def __init__(self):
super().__init__()
self.penup()
self.color("white")
self.shape("circle")
self.move_speed = 0.1
self.y_bounce = 1
self.x_bounce = 1
def move(self):
new_x = self.xcor() ... | Load Turtle from turtle.
Set SPEED to 10.
Define class Ball inheriting from Turtle:
Define method __init__ with parameter self:
Call (super with no values) dot __init__.
Call self dot penup.
Call self dot color with "white".
Call self dot shape with "circle".
Set self dot mov... | python | en | run_002_20260417_060406 | 177 | {
"max_stars_repo_path": "Day22_Pong/ball.py",
"max_stars_repo_name": "syt1209/PythonProjects",
"max_stars_count": 1,
"id": "305",
"raw_source_hash": "085e31080b7ef04e40738a0fd504d4dc47c52293b6dda9a6733ac5a8b64e5185",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"largest_... | {
"raw_source_hash": "085e31080b7ef04e40738a0fd504d4dc47c52293b6dda9a6733ac5a8b64e5185",
"normalized_source_hash": "af8cdfeee523c75f69011de94345a2a92ec95faa1bcdde44905618b35f3d36e9",
"source_ast_hash": "ee5f0dfeed626d64e53404f1ef95fb80a96fd1ccc0f1084ec3355419939378de",
"artifact_hash": "ed45a11cfc633e292d840b6d... | true | true | null |
python_to_es_plaincode | from turtle import Turtle
SPEED = 10
class Ball(Turtle):
def __init__(self):
super().__init__()
self.penup()
self.color("white")
self.shape("circle")
self.move_speed = 0.1
self.y_bounce = 1
self.x_bounce = 1
def move(self):
new_x = self.xcor() ... | Importar Turtle desde turtle.
Establecer SPEED como 10.
Definir clase Ball heredando de Turtle:
Definir método __init__ con parámetro self:
Llamar (super sin argumentos) punto __init__.
Llamar self punto penup.
Llamar self punto color con "white".
Llamar self punto shape con "circle"... | python | es | run_002_20260417_060406 | 177 | {
"max_stars_repo_path": "Day22_Pong/ball.py",
"max_stars_repo_name": "syt1209/PythonProjects",
"max_stars_count": 1,
"id": "305",
"raw_source_hash": "085e31080b7ef04e40738a0fd504d4dc47c52293b6dda9a6733ac5a8b64e5185",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"largest_... | {
"raw_source_hash": "085e31080b7ef04e40738a0fd504d4dc47c52293b6dda9a6733ac5a8b64e5185",
"normalized_source_hash": "af8cdfeee523c75f69011de94345a2a92ec95faa1bcdde44905618b35f3d36e9",
"source_ast_hash": "ee5f0dfeed626d64e53404f1ef95fb80a96fd1ccc0f1084ec3355419939378de",
"artifact_hash": "ed45a11cfc633e292d840b6d... | true | true | null |
python_to_fr_plaincode | from turtle import Turtle
SPEED = 10
class Ball(Turtle):
def __init__(self):
super().__init__()
self.penup()
self.color("white")
self.shape("circle")
self.move_speed = 0.1
self.y_bounce = 1
self.x_bounce = 1
def move(self):
new_x = self.xcor() ... | Charger Turtle depuis turtle.
Affecter SPEED à 10.
Définir classe Ball héritant de Turtle:
Définir méthode __init__ avec paramètre self:
Appeler (super sans arguments) point de __init__.
Appeler self point de penup.
Appeler self point de color avec "white".
Appeler self point de shap... | python | fr | run_002_20260417_060406 | 177 | {
"max_stars_repo_path": "Day22_Pong/ball.py",
"max_stars_repo_name": "syt1209/PythonProjects",
"max_stars_count": 1,
"id": "305",
"raw_source_hash": "085e31080b7ef04e40738a0fd504d4dc47c52293b6dda9a6733ac5a8b64e5185",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"largest_... | {
"raw_source_hash": "085e31080b7ef04e40738a0fd504d4dc47c52293b6dda9a6733ac5a8b64e5185",
"normalized_source_hash": "af8cdfeee523c75f69011de94345a2a92ec95faa1bcdde44905618b35f3d36e9",
"source_ast_hash": "ee5f0dfeed626d64e53404f1ef95fb80a96fd1ccc0f1084ec3355419939378de",
"artifact_hash": "ed45a11cfc633e292d840b6d... | true | true | null |
en_plaincode_to_python | Load Turtle from turtle.
Set SPEED to 10.
Define class Ball inheriting from Turtle:
Define method __init__ with parameter self:
Call (super with no values) dot __init__.
Call self dot penup.
Call self dot color with "white".
Call self dot shape with "circle".
Set self dot mov... | from turtle import Turtle
SPEED = 10
class Ball(Turtle):
def __init__(self):
super().__init__()
self.penup()
self.color("white")
self.shape("circle")
self.move_speed = 0.1
self.y_bounce = 1
self.x_bounce = 1
def move(self):
new_x = self.xcor() ... | en | python | run_002_20260417_060406 | 177 | {
"max_stars_repo_path": "Day22_Pong/ball.py",
"max_stars_repo_name": "syt1209/PythonProjects",
"max_stars_count": 1,
"id": "305",
"raw_source_hash": "085e31080b7ef04e40738a0fd504d4dc47c52293b6dda9a6733ac5a8b64e5185",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"largest_... | {
"raw_source_hash": "085e31080b7ef04e40738a0fd504d4dc47c52293b6dda9a6733ac5a8b64e5185",
"normalized_source_hash": "af8cdfeee523c75f69011de94345a2a92ec95faa1bcdde44905618b35f3d36e9",
"source_ast_hash": "ee5f0dfeed626d64e53404f1ef95fb80a96fd1ccc0f1084ec3355419939378de",
"artifact_hash": "ed45a11cfc633e292d840b6d... | true | true | null |
python_to_en_plaincode | from jry2.semantics import Expr
class TreeNode:
pass
class TreeLeaf(TreeNode):
def __init__(self, term):
self.term = term
def getExpr(self):
return self.term
class TreeInnerNode(TreeNode):
def __init__(self, pred, left, right):
self.pred = pred
self.left = left
... | Load Expr from jry2.semantics.
Define class TreeNode:
Do nothing.
Define class TreeLeaf inheriting from TreeNode:
Define method __init__ with parameters self, term:
Set self dot term to term.
Define method getExpr with parameter self:
Return self dot term.
Define class TreeInnerNode inheriti... | python | en | run_002_20260417_060406 | 178 | {
"max_stars_repo_path": "programs/combine/jry2/treedef.py",
"max_stars_repo_name": "lsrcz/SyGuS",
"max_stars_count": 1,
"id": "306",
"raw_source_hash": "06384c42b278e5a5726206ae37dff6c7038eeda1defa091e9f2e008b081b2107",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"large... | {
"raw_source_hash": "06384c42b278e5a5726206ae37dff6c7038eeda1defa091e9f2e008b081b2107",
"normalized_source_hash": "e4581038adafb90f556e5c84cef06b29007fc8195d9c352b0a799dc839dabfd6",
"source_ast_hash": "106986f247c524469482d57c292fa807654242910ab516a5736df698169ac31c",
"artifact_hash": "3bdb635bce707238400a6592... | true | true | null |
python_to_es_plaincode | from jry2.semantics import Expr
class TreeNode:
pass
class TreeLeaf(TreeNode):
def __init__(self, term):
self.term = term
def getExpr(self):
return self.term
class TreeInnerNode(TreeNode):
def __init__(self, pred, left, right):
self.pred = pred
self.left = left
... | Importar Expr desde jry2.semantics.
Definir clase TreeNode:
No hacer nada.
Definir clase TreeLeaf heredando de TreeNode:
Definir método __init__ con parámetros self, term:
Establecer self punto term como term.
Definir método getExpr con parámetro self:
Devolver self punto term.
Definir clase... | python | es | run_002_20260417_060406 | 178 | {
"max_stars_repo_path": "programs/combine/jry2/treedef.py",
"max_stars_repo_name": "lsrcz/SyGuS",
"max_stars_count": 1,
"id": "306",
"raw_source_hash": "06384c42b278e5a5726206ae37dff6c7038eeda1defa091e9f2e008b081b2107",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"large... | {
"raw_source_hash": "06384c42b278e5a5726206ae37dff6c7038eeda1defa091e9f2e008b081b2107",
"normalized_source_hash": "e4581038adafb90f556e5c84cef06b29007fc8195d9c352b0a799dc839dabfd6",
"source_ast_hash": "106986f247c524469482d57c292fa807654242910ab516a5736df698169ac31c",
"artifact_hash": "3bdb635bce707238400a6592... | true | true | null |
python_to_fr_plaincode | from jry2.semantics import Expr
class TreeNode:
pass
class TreeLeaf(TreeNode):
def __init__(self, term):
self.term = term
def getExpr(self):
return self.term
class TreeInnerNode(TreeNode):
def __init__(self, pred, left, right):
self.pred = pred
self.left = left
... | Charger Expr depuis jry2.semantics.
Définir classe TreeNode:
Ne rien faire.
Définir classe TreeLeaf héritant de TreeNode:
Définir méthode __init__ avec paramètres self, term:
Affecter self point de term à term.
Définir méthode getExpr avec paramètre self:
Retourner self point de term.
Défini... | python | fr | run_002_20260417_060406 | 178 | {
"max_stars_repo_path": "programs/combine/jry2/treedef.py",
"max_stars_repo_name": "lsrcz/SyGuS",
"max_stars_count": 1,
"id": "306",
"raw_source_hash": "06384c42b278e5a5726206ae37dff6c7038eeda1defa091e9f2e008b081b2107",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"large... | {
"raw_source_hash": "06384c42b278e5a5726206ae37dff6c7038eeda1defa091e9f2e008b081b2107",
"normalized_source_hash": "e4581038adafb90f556e5c84cef06b29007fc8195d9c352b0a799dc839dabfd6",
"source_ast_hash": "106986f247c524469482d57c292fa807654242910ab516a5736df698169ac31c",
"artifact_hash": "3bdb635bce707238400a6592... | true | true | null |
en_plaincode_to_python | Load Expr from jry2.semantics.
Define class TreeNode:
Do nothing.
Define class TreeLeaf inheriting from TreeNode:
Define method __init__ with parameters self, term:
Set self dot term to term.
Define method getExpr with parameter self:
Return self dot term.
Define class TreeInnerNode inheriti... | from jry2.semantics import Expr
class TreeNode:
pass
class TreeLeaf(TreeNode):
def __init__(self, term):
self.term = term
def getExpr(self):
return self.term
class TreeInnerNode(TreeNode):
def __init__(self, pred, left, right):
self.pred = pred
self.left = left
... | en | python | run_002_20260417_060406 | 178 | {
"max_stars_repo_path": "programs/combine/jry2/treedef.py",
"max_stars_repo_name": "lsrcz/SyGuS",
"max_stars_count": 1,
"id": "306",
"raw_source_hash": "06384c42b278e5a5726206ae37dff6c7038eeda1defa091e9f2e008b081b2107",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"large... | {
"raw_source_hash": "06384c42b278e5a5726206ae37dff6c7038eeda1defa091e9f2e008b081b2107",
"normalized_source_hash": "e4581038adafb90f556e5c84cef06b29007fc8195d9c352b0a799dc839dabfd6",
"source_ast_hash": "106986f247c524469482d57c292fa807654242910ab516a5736df698169ac31c",
"artifact_hash": "3bdb635bce707238400a6592... | true | true | null |
python_to_en_plaincode | """
Module for sending Push Notifications
"""
import logging
import requests
from django.conf import settings
from ...models import PushNotificationTranslation
from ...models import Region
from ...constants import push_notifications as pnt_const
logger = logging.getLogger(__name__)
# pylint: disable=too-few-public... | Text block:
""
"Module for sending Push Notifications"
ending with a newline.
Load logging.
Load requests.
Load settings from django.conf.
Load PushNotificationTranslation from package 3 levels up.models.
Load Region from package 3 levels up.models.
Load push_notifications referred to as pnt_const from package 3 levels... | python | en | run_002_20260417_060406 | 179 | {
"max_stars_repo_path": "src/cms/views/push_notifications/push_notification_sender.py",
"max_stars_repo_name": "mckinly/cms-django",
"max_stars_count": 0,
"id": "309",
"raw_source_hash": "a96439f66b9b668d773778b77846bcc38ef3c3c7baac02b9294267b5f686ca05",
"sanitize_meta": {
"triple_block_count": 8,
... | {
"raw_source_hash": "a96439f66b9b668d773778b77846bcc38ef3c3c7baac02b9294267b5f686ca05",
"normalized_source_hash": "3f2e1f66c55d562b991bae1429c944f48eed3b3dd35d7529c85fa311b8642d7c",
"source_ast_hash": "9cc5e880ec8cb41b7c525800ce41b428013063ead3b7e4b3cd0442502a8ab8ab",
"artifact_hash": "2f5c967888ac28a581f51a0b... | true | true | null |
python_to_es_plaincode | """
Module for sending Push Notifications
"""
import logging
import requests
from django.conf import settings
from ...models import PushNotificationTranslation
from ...models import Region
from ...constants import push_notifications as pnt_const
logger = logging.getLogger(__name__)
# pylint: disable=too-few-public... | Texto literal:
""
"Module for sending Push Notifications"
terminando con una nueva línea.
Importar logging.
Importar requests.
Importar settings desde django.conf.
Importar PushNotificationTranslation desde paquete 3 niveles arriba.models.
Importar Region desde paquete 3 niveles arriba.models.
Importar push_notificatio... | python | es | run_002_20260417_060406 | 179 | {
"max_stars_repo_path": "src/cms/views/push_notifications/push_notification_sender.py",
"max_stars_repo_name": "mckinly/cms-django",
"max_stars_count": 0,
"id": "309",
"raw_source_hash": "a96439f66b9b668d773778b77846bcc38ef3c3c7baac02b9294267b5f686ca05",
"sanitize_meta": {
"triple_block_count": 8,
... | {
"raw_source_hash": "a96439f66b9b668d773778b77846bcc38ef3c3c7baac02b9294267b5f686ca05",
"normalized_source_hash": "3f2e1f66c55d562b991bae1429c944f48eed3b3dd35d7529c85fa311b8642d7c",
"source_ast_hash": "9cc5e880ec8cb41b7c525800ce41b428013063ead3b7e4b3cd0442502a8ab8ab",
"artifact_hash": "2f5c967888ac28a581f51a0b... | true | true | null |
python_to_fr_plaincode | """
Module for sending Push Notifications
"""
import logging
import requests
from django.conf import settings
from ...models import PushNotificationTranslation
from ...models import Region
from ...constants import push_notifications as pnt_const
logger = logging.getLogger(__name__)
# pylint: disable=too-few-public... | Texte littéral:
""
"Module for sending Push Notifications"
se terminant par une nouvelle ligne.
Charger logging.
Charger requests.
Charger settings depuis django.conf.
Charger PushNotificationTranslation depuis paquet 3 niveaux haut.models.
Charger Region depuis paquet 3 niveaux haut.models.
Charger push_notifications ... | python | fr | run_002_20260417_060406 | 179 | {
"max_stars_repo_path": "src/cms/views/push_notifications/push_notification_sender.py",
"max_stars_repo_name": "mckinly/cms-django",
"max_stars_count": 0,
"id": "309",
"raw_source_hash": "a96439f66b9b668d773778b77846bcc38ef3c3c7baac02b9294267b5f686ca05",
"sanitize_meta": {
"triple_block_count": 8,
... | {
"raw_source_hash": "a96439f66b9b668d773778b77846bcc38ef3c3c7baac02b9294267b5f686ca05",
"normalized_source_hash": "3f2e1f66c55d562b991bae1429c944f48eed3b3dd35d7529c85fa311b8642d7c",
"source_ast_hash": "9cc5e880ec8cb41b7c525800ce41b428013063ead3b7e4b3cd0442502a8ab8ab",
"artifact_hash": "2f5c967888ac28a581f51a0b... | true | true | null |
en_plaincode_to_python | Text block:
""
"Module for sending Push Notifications"
ending with a newline.
Load logging.
Load requests.
Load settings from django.conf.
Load PushNotificationTranslation from package 3 levels up.models.
Load Region from package 3 levels up.models.
Load push_notifications referred to as pnt_const from package 3 levels... | """
Module for sending Push Notifications
"""
import logging
import requests
from django.conf import settings
from ...models import PushNotificationTranslation
from ...models import Region
from ...constants import push_notifications as pnt_const
logger = logging.getLogger(__name__)
# pylint: disable=too-few-public... | en | python | run_002_20260417_060406 | 179 | {
"max_stars_repo_path": "src/cms/views/push_notifications/push_notification_sender.py",
"max_stars_repo_name": "mckinly/cms-django",
"max_stars_count": 0,
"id": "309",
"raw_source_hash": "a96439f66b9b668d773778b77846bcc38ef3c3c7baac02b9294267b5f686ca05",
"sanitize_meta": {
"triple_block_count": 8,
... | {
"raw_source_hash": "a96439f66b9b668d773778b77846bcc38ef3c3c7baac02b9294267b5f686ca05",
"normalized_source_hash": "3f2e1f66c55d562b991bae1429c944f48eed3b3dd35d7529c85fa311b8642d7c",
"source_ast_hash": "9cc5e880ec8cb41b7c525800ce41b428013063ead3b7e4b3cd0442502a8ab8ab",
"artifact_hash": "2f5c967888ac28a581f51a0b... | true | true | null |
python_to_en_plaincode | #
# id: functional.index.create.03
# title: CREATE ASC INDEX
# decription: CREATE ASC INDEX
#
# Dependencies:
# CREATE DATABASE
# CREATE TABLE
# SHOW INDEX
# tracker_id:
# min_versions: []
# versions: 1.0
# qmid: fu... | #
# id: functional.index.create.03
# title: CREATE ASC INDEX
# decription: CREATE ASC INDEX
#
# Dependencies:
# CREATE DATABASE
# CREATE TABLE
# SHOW INDEX
# tracker_id:
# min_versions: []
# versions: 1.0
# qmid: functional.index.cre... | python | en | run_002_20260417_060406 | 180 | {
"max_stars_repo_path": "tests/functional/index/create/test_03.py",
"max_stars_repo_name": "reevespaul/firebird-qa",
"max_stars_count": 0,
"id": "310",
"raw_source_hash": "174f5bdfefce761a798384a27d81a11dec82e64e23736c278af5c242914aa5a4",
"sanitize_meta": {
"triple_block_count": 3,
"total_triple_ch... | {
"raw_source_hash": "174f5bdfefce761a798384a27d81a11dec82e64e23736c278af5c242914aa5a4",
"normalized_source_hash": "3c38dfa3d34f891cb57a85f78211d18cc3806708970c36edd16382582932beb3",
"source_ast_hash": "239abc9721a52b56c13fa6513f2a9e176054013e253664f314195e38a8aeb9e1",
"artifact_hash": "51503437915026a5f21872c8... | true | true | null |
python_to_es_plaincode | #
# id: functional.index.create.03
# title: CREATE ASC INDEX
# decription: CREATE ASC INDEX
#
# Dependencies:
# CREATE DATABASE
# CREATE TABLE
# SHOW INDEX
# tracker_id:
# min_versions: []
# versions: 1.0
# qmid: fu... | #
# id: functional.index.create.03
# title: CREATE ASC INDEX
# decription: CREATE ASC INDEX
#
# Dependencies:
# CREATE DATABASE
# CREATE TABLE
# SHOW INDEX
# tracker_id:
# min_versions: []
# versions: 1.0
# qmid: functional.index.cre... | python | es | run_002_20260417_060406 | 180 | {
"max_stars_repo_path": "tests/functional/index/create/test_03.py",
"max_stars_repo_name": "reevespaul/firebird-qa",
"max_stars_count": 0,
"id": "310",
"raw_source_hash": "174f5bdfefce761a798384a27d81a11dec82e64e23736c278af5c242914aa5a4",
"sanitize_meta": {
"triple_block_count": 3,
"total_triple_ch... | {
"raw_source_hash": "174f5bdfefce761a798384a27d81a11dec82e64e23736c278af5c242914aa5a4",
"normalized_source_hash": "3c38dfa3d34f891cb57a85f78211d18cc3806708970c36edd16382582932beb3",
"source_ast_hash": "239abc9721a52b56c13fa6513f2a9e176054013e253664f314195e38a8aeb9e1",
"artifact_hash": "51503437915026a5f21872c8... | true | true | null |
python_to_fr_plaincode | #
# id: functional.index.create.03
# title: CREATE ASC INDEX
# decription: CREATE ASC INDEX
#
# Dependencies:
# CREATE DATABASE
# CREATE TABLE
# SHOW INDEX
# tracker_id:
# min_versions: []
# versions: 1.0
# qmid: fu... | #
# id: functional.index.create.03
# title: CREATE ASC INDEX
# decription: CREATE ASC INDEX
#
# Dependencies:
# CREATE DATABASE
# CREATE TABLE
# SHOW INDEX
# tracker_id:
# min_versions: []
# versions: 1.0
# qmid: functional.index.cre... | python | fr | run_002_20260417_060406 | 180 | {
"max_stars_repo_path": "tests/functional/index/create/test_03.py",
"max_stars_repo_name": "reevespaul/firebird-qa",
"max_stars_count": 0,
"id": "310",
"raw_source_hash": "174f5bdfefce761a798384a27d81a11dec82e64e23736c278af5c242914aa5a4",
"sanitize_meta": {
"triple_block_count": 3,
"total_triple_ch... | {
"raw_source_hash": "174f5bdfefce761a798384a27d81a11dec82e64e23736c278af5c242914aa5a4",
"normalized_source_hash": "3c38dfa3d34f891cb57a85f78211d18cc3806708970c36edd16382582932beb3",
"source_ast_hash": "239abc9721a52b56c13fa6513f2a9e176054013e253664f314195e38a8aeb9e1",
"artifact_hash": "51503437915026a5f21872c8... | true | true | null |
en_plaincode_to_python | #
# id: functional.index.create.03
# title: CREATE ASC INDEX
# decription: CREATE ASC INDEX
#
# Dependencies:
# CREATE DATABASE
# CREATE TABLE
# SHOW INDEX
# tracker_id:
# min_versions: []
# versions: 1.0
# qmid: functional.index.cre... | #
# id: functional.index.create.03
# title: CREATE ASC INDEX
# decription: CREATE ASC INDEX
#
# Dependencies:
# CREATE DATABASE
# CREATE TABLE
# SHOW INDEX
# tracker_id:
# min_versions: []
# versions: 1.0
# qmid: fu... | en | python | run_002_20260417_060406 | 180 | {
"max_stars_repo_path": "tests/functional/index/create/test_03.py",
"max_stars_repo_name": "reevespaul/firebird-qa",
"max_stars_count": 0,
"id": "310",
"raw_source_hash": "174f5bdfefce761a798384a27d81a11dec82e64e23736c278af5c242914aa5a4",
"sanitize_meta": {
"triple_block_count": 3,
"total_triple_ch... | {
"raw_source_hash": "174f5bdfefce761a798384a27d81a11dec82e64e23736c278af5c242914aa5a4",
"normalized_source_hash": "3c38dfa3d34f891cb57a85f78211d18cc3806708970c36edd16382582932beb3",
"source_ast_hash": "239abc9721a52b56c13fa6513f2a9e176054013e253664f314195e38a8aeb9e1",
"artifact_hash": "51503437915026a5f21872c8... | true | true | null |
python_to_en_plaincode | """ Page object file """
class Page():
""" Page object, it contains information about the pare we are refering, index, items per page, etc. """
page_index = 0
items_per_page = 0
def __init__(self, items_per_page, page_index):
""" Creates the page """
self.page_index = int(page_index)
... | Evaluate " Page object file ".
Define class Page:
Evaluate " Page object, it contains information about the pare we are refering, index, items per page, etc. ".
Set page_index to 0.
Set items_per_page to 0.
Define method __init__ with parameters self, items_per_page, page_index:
Evaluate " Creat... | python | en | run_002_20260417_060406 | 181 | {
"max_stars_repo_path": "app/logic/httpcommon/Page.py",
"max_stars_repo_name": "imvu/bluesteel",
"max_stars_count": 10,
"id": "311",
"raw_source_hash": "2d2fdf151d144863afe5f3202e0b30edf3205b89dbe367ef86c362ab6c3302cf",
"sanitize_meta": {
"triple_block_count": 3,
"total_triple_chars": 152,
"lar... | {
"raw_source_hash": "2d2fdf151d144863afe5f3202e0b30edf3205b89dbe367ef86c362ab6c3302cf",
"normalized_source_hash": "45b2eb7fb1f140f8b55a5ec568dcde2af88888c59e35f5c2edfdc72d275c80ca",
"source_ast_hash": "6aa0ef9f6f3b9ddee77dfd1f4629f037fc6e3749fe967ed3532b043bc26b941a",
"artifact_hash": "5917f82ee26776cd3aa83a47... | true | true | null |
python_to_es_plaincode | """ Page object file """
class Page():
""" Page object, it contains information about the pare we are refering, index, items per page, etc. """
page_index = 0
items_per_page = 0
def __init__(self, items_per_page, page_index):
""" Creates the page """
self.page_index = int(page_index)
... | Evaluar " Page object file ".
Definir clase Page:
Evaluar " Page object, it contains information about the pare we are refering, index, items per page, etc. ".
Establecer page_index como 0.
Establecer items_per_page como 0.
Definir método __init__ con parámetros self, items_per_page, page_index:
... | python | es | run_002_20260417_060406 | 181 | {
"max_stars_repo_path": "app/logic/httpcommon/Page.py",
"max_stars_repo_name": "imvu/bluesteel",
"max_stars_count": 10,
"id": "311",
"raw_source_hash": "2d2fdf151d144863afe5f3202e0b30edf3205b89dbe367ef86c362ab6c3302cf",
"sanitize_meta": {
"triple_block_count": 3,
"total_triple_chars": 152,
"lar... | {
"raw_source_hash": "2d2fdf151d144863afe5f3202e0b30edf3205b89dbe367ef86c362ab6c3302cf",
"normalized_source_hash": "45b2eb7fb1f140f8b55a5ec568dcde2af88888c59e35f5c2edfdc72d275c80ca",
"source_ast_hash": "6aa0ef9f6f3b9ddee77dfd1f4629f037fc6e3749fe967ed3532b043bc26b941a",
"artifact_hash": "5917f82ee26776cd3aa83a47... | true | true | null |
python_to_fr_plaincode | """ Page object file """
class Page():
""" Page object, it contains information about the pare we are refering, index, items per page, etc. """
page_index = 0
items_per_page = 0
def __init__(self, items_per_page, page_index):
""" Creates the page """
self.page_index = int(page_index)
... | Évaluer " Page object file ".
Définir classe Page:
Évaluer " Page object, it contains information about the pare we are refering, index, items per page, etc. ".
Affecter page_index à 0.
Affecter items_per_page à 0.
Définir méthode __init__ avec paramètres self, items_per_page, page_index:
Évalue... | python | fr | run_002_20260417_060406 | 181 | {
"max_stars_repo_path": "app/logic/httpcommon/Page.py",
"max_stars_repo_name": "imvu/bluesteel",
"max_stars_count": 10,
"id": "311",
"raw_source_hash": "2d2fdf151d144863afe5f3202e0b30edf3205b89dbe367ef86c362ab6c3302cf",
"sanitize_meta": {
"triple_block_count": 3,
"total_triple_chars": 152,
"lar... | {
"raw_source_hash": "2d2fdf151d144863afe5f3202e0b30edf3205b89dbe367ef86c362ab6c3302cf",
"normalized_source_hash": "45b2eb7fb1f140f8b55a5ec568dcde2af88888c59e35f5c2edfdc72d275c80ca",
"source_ast_hash": "6aa0ef9f6f3b9ddee77dfd1f4629f037fc6e3749fe967ed3532b043bc26b941a",
"artifact_hash": "5917f82ee26776cd3aa83a47... | true | true | null |
en_plaincode_to_python | Evaluate " Page object file ".
Define class Page:
Evaluate " Page object, it contains information about the pare we are refering, index, items per page, etc. ".
Set page_index to 0.
Set items_per_page to 0.
Define method __init__ with parameters self, items_per_page, page_index:
Evaluate " Creat... | """ Page object file """
class Page():
""" Page object, it contains information about the pare we are refering, index, items per page, etc. """
page_index = 0
items_per_page = 0
def __init__(self, items_per_page, page_index):
""" Creates the page """
self.page_index = int(page_index)
... | en | python | run_002_20260417_060406 | 181 | {
"max_stars_repo_path": "app/logic/httpcommon/Page.py",
"max_stars_repo_name": "imvu/bluesteel",
"max_stars_count": 10,
"id": "311",
"raw_source_hash": "2d2fdf151d144863afe5f3202e0b30edf3205b89dbe367ef86c362ab6c3302cf",
"sanitize_meta": {
"triple_block_count": 3,
"total_triple_chars": 152,
"lar... | {
"raw_source_hash": "2d2fdf151d144863afe5f3202e0b30edf3205b89dbe367ef86c362ab6c3302cf",
"normalized_source_hash": "45b2eb7fb1f140f8b55a5ec568dcde2af88888c59e35f5c2edfdc72d275c80ca",
"source_ast_hash": "6aa0ef9f6f3b9ddee77dfd1f4629f037fc6e3749fe967ed3532b043bc26b941a",
"artifact_hash": "5917f82ee26776cd3aa83a47... | true | true | null |
python_to_en_plaincode | # Copyright 2019 Xilinx Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | # Copyright 2019 Xilinx Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | python | en | run_002_20260417_060406 | 182 | {
"max_stars_repo_path": "models/AI-Model-Zoo/VAI-1.3-Model-Zoo-Code/PyTorch/pt_personreid-res18_market1501_176_80_1.1G_1.3/code/core/data_manager.py",
"max_stars_repo_name": "guochunhe/Vitis-AI",
"max_stars_count": 1,
"id": "312",
"raw_source_hash": "8208fb88119ccb1905c4051700233a1caffb5dacf73300488f1b405d7a... | {
"raw_source_hash": "8208fb88119ccb1905c4051700233a1caffb5dacf73300488f1b405d7abb7eff",
"normalized_source_hash": "f7c9333d1e6b700bf9c825cdca70d66c4c72bed8db81611328fda396f4da934e",
"source_ast_hash": "3cc20beb2df3ddc594b635c5829e117fd74b227612ad52638b12a034e296817d",
"artifact_hash": "831cb82645f8f966ee736d1e... | true | true | null |
python_to_es_plaincode | # Copyright 2019 Xilinx Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | # Copyright 2019 Xilinx Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may no use this file except en compliance con the License.
# You may obtain a copy de the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required por applicable law o agreed como en writing, ... | python | es | run_002_20260417_060406 | 182 | {
"max_stars_repo_path": "models/AI-Model-Zoo/VAI-1.3-Model-Zoo-Code/PyTorch/pt_personreid-res18_market1501_176_80_1.1G_1.3/code/core/data_manager.py",
"max_stars_repo_name": "guochunhe/Vitis-AI",
"max_stars_count": 1,
"id": "312",
"raw_source_hash": "8208fb88119ccb1905c4051700233a1caffb5dacf73300488f1b405d7a... | {
"raw_source_hash": "8208fb88119ccb1905c4051700233a1caffb5dacf73300488f1b405d7abb7eff",
"normalized_source_hash": "f7c9333d1e6b700bf9c825cdca70d66c4c72bed8db81611328fda396f4da934e",
"source_ast_hash": "3cc20beb2df3ddc594b635c5829e117fd74b227612ad52638b12a034e296817d",
"artifact_hash": "831cb82645f8f966ee736d1e... | true | true | null |
python_to_fr_plaincode | # Copyright 2019 Xilinx Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | # Copyright 2019 Xilinx Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may non use this file except dans compliance avec the License.
# You may obtain a copy de the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required par applicable law ou agreed à dans writi... | python | fr | run_002_20260417_060406 | 182 | {
"max_stars_repo_path": "models/AI-Model-Zoo/VAI-1.3-Model-Zoo-Code/PyTorch/pt_personreid-res18_market1501_176_80_1.1G_1.3/code/core/data_manager.py",
"max_stars_repo_name": "guochunhe/Vitis-AI",
"max_stars_count": 1,
"id": "312",
"raw_source_hash": "8208fb88119ccb1905c4051700233a1caffb5dacf73300488f1b405d7a... | {
"raw_source_hash": "8208fb88119ccb1905c4051700233a1caffb5dacf73300488f1b405d7abb7eff",
"normalized_source_hash": "f7c9333d1e6b700bf9c825cdca70d66c4c72bed8db81611328fda396f4da934e",
"source_ast_hash": "3cc20beb2df3ddc594b635c5829e117fd74b227612ad52638b12a034e296817d",
"artifact_hash": "831cb82645f8f966ee736d1e... | true | true | null |
en_plaincode_to_python | # Copyright 2019 Xilinx Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | # Copyright 2019 Xilinx Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | en | python | run_002_20260417_060406 | 182 | {
"max_stars_repo_path": "models/AI-Model-Zoo/VAI-1.3-Model-Zoo-Code/PyTorch/pt_personreid-res18_market1501_176_80_1.1G_1.3/code/core/data_manager.py",
"max_stars_repo_name": "guochunhe/Vitis-AI",
"max_stars_count": 1,
"id": "312",
"raw_source_hash": "8208fb88119ccb1905c4051700233a1caffb5dacf73300488f1b405d7a... | {
"raw_source_hash": "8208fb88119ccb1905c4051700233a1caffb5dacf73300488f1b405d7abb7eff",
"normalized_source_hash": "f7c9333d1e6b700bf9c825cdca70d66c4c72bed8db81611328fda396f4da934e",
"source_ast_hash": "3cc20beb2df3ddc594b635c5829e117fd74b227612ad52638b12a034e296817d",
"artifact_hash": "831cb82645f8f966ee736d1e... | true | true | null |
python_to_en_plaincode | {
"cells": [
{
"cell_type": "code",
"execution_count": 64,
"metadata": {},
"outputs": [],
"source": [
"# Import libraries\n",
"import os, csv"
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {},
"outputs": [],
"source": [
"#variables for the script\n",
... | Evaluate the record {
`cells` set to the list [
the record {
`cell_type` set to "code",
`execution_count` set to 64,
`metadata` set to an empty dictionary,
`outputs` set to an empty list,
`source` set to the list [
text block:
"# Import libraries"
... | python | en | run_002_20260417_060406 | 183 | {
"max_stars_repo_path": "PyBank/.ipynb_checkpoints/Pymain-checkpoint.py",
"max_stars_repo_name": "yash5OG/PythonChallengeW3-Y5",
"max_stars_count": 0,
"id": "313",
"raw_source_hash": "44a061dc197d82fcc46490ef8969562ef2169250993cee8ab0a19f05a225e52f",
"sanitize_meta": {
"triple_block_count": 0,
"tot... | {
"raw_source_hash": "44a061dc197d82fcc46490ef8969562ef2169250993cee8ab0a19f05a225e52f",
"normalized_source_hash": "74030ae337be172a8d66d72e04b9b2082296cd68970a2965fbd9cbcd35c004e9",
"source_ast_hash": "0251030d9e9cd6baa5537c4ac7cf0b7429e7e807ef08247cc644d3cc211d9b2e",
"artifact_hash": "32fbcbe38b2840d09f551503... | true | true | null |
python_to_es_plaincode | {
"cells": [
{
"cell_type": "code",
"execution_count": 64,
"metadata": {},
"outputs": [],
"source": [
"# Import libraries\n",
"import os, csv"
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {},
"outputs": [],
"source": [
"#variables for the script\n",
... | Evaluar el diccionario {
`cells` establecido a la lista [
el diccionario {
`cell_type` establecido a "code",
`execution_count` establecido a 64,
`metadata` establecido a un diccionario vacío,
`outputs` establecido a una lista vacía,
`source` establecido a la lista [
... | python | es | run_002_20260417_060406 | 183 | {
"max_stars_repo_path": "PyBank/.ipynb_checkpoints/Pymain-checkpoint.py",
"max_stars_repo_name": "yash5OG/PythonChallengeW3-Y5",
"max_stars_count": 0,
"id": "313",
"raw_source_hash": "44a061dc197d82fcc46490ef8969562ef2169250993cee8ab0a19f05a225e52f",
"sanitize_meta": {
"triple_block_count": 0,
"tot... | {
"raw_source_hash": "44a061dc197d82fcc46490ef8969562ef2169250993cee8ab0a19f05a225e52f",
"normalized_source_hash": "74030ae337be172a8d66d72e04b9b2082296cd68970a2965fbd9cbcd35c004e9",
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"artifact_hash": "32fbcbe38b2840d09f551503... | true | true | null |
python_to_fr_plaincode | {
"cells": [
{
"cell_type": "code",
"execution_count": 64,
"metadata": {},
"outputs": [],
"source": [
"# Import libraries\n",
"import os, csv"
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {},
"outputs": [],
"source": [
"#variables for the script\n",
... | Évaluer le registre {
`cells` défini à la liste [
le registre {
`cell_type` défini à "code",
`execution_count` défini à 64,
`metadata` défini à un dictionnaire vide,
`outputs` défini à une liste vide,
`source` défini à la liste [
texte littéral:
"#... | python | fr | run_002_20260417_060406 | 183 | {
"max_stars_repo_path": "PyBank/.ipynb_checkpoints/Pymain-checkpoint.py",
"max_stars_repo_name": "yash5OG/PythonChallengeW3-Y5",
"max_stars_count": 0,
"id": "313",
"raw_source_hash": "44a061dc197d82fcc46490ef8969562ef2169250993cee8ab0a19f05a225e52f",
"sanitize_meta": {
"triple_block_count": 0,
"tot... | {
"raw_source_hash": "44a061dc197d82fcc46490ef8969562ef2169250993cee8ab0a19f05a225e52f",
"normalized_source_hash": "74030ae337be172a8d66d72e04b9b2082296cd68970a2965fbd9cbcd35c004e9",
"source_ast_hash": "0251030d9e9cd6baa5537c4ac7cf0b7429e7e807ef08247cc644d3cc211d9b2e",
"artifact_hash": "32fbcbe38b2840d09f551503... | true | true | null |
en_plaincode_to_python | Evaluate the record {
`cells` set to the list [
the record {
`cell_type` set to "code",
`execution_count` set to 64,
`metadata` set to an empty dictionary,
`outputs` set to an empty list,
`source` set to the list [
text block:
"# Import libraries"
... | {
"cells": [
{
"cell_type": "code",
"execution_count": 64,
"metadata": {},
"outputs": [],
"source": [
"# Import libraries\n",
"import os, csv"
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {},
"outputs": [],
"source": [
"#variables for the script\n",
... | en | python | run_002_20260417_060406 | 183 | {
"max_stars_repo_path": "PyBank/.ipynb_checkpoints/Pymain-checkpoint.py",
"max_stars_repo_name": "yash5OG/PythonChallengeW3-Y5",
"max_stars_count": 0,
"id": "313",
"raw_source_hash": "44a061dc197d82fcc46490ef8969562ef2169250993cee8ab0a19f05a225e52f",
"sanitize_meta": {
"triple_block_count": 0,
"tot... | {
"raw_source_hash": "44a061dc197d82fcc46490ef8969562ef2169250993cee8ab0a19f05a225e52f",
"normalized_source_hash": "74030ae337be172a8d66d72e04b9b2082296cd68970a2965fbd9cbcd35c004e9",
"source_ast_hash": "0251030d9e9cd6baa5537c4ac7cf0b7429e7e807ef08247cc644d3cc211d9b2e",
"artifact_hash": "32fbcbe38b2840d09f551503... | true | true | null |
python_to_en_plaincode | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | python | en | run_002_20260417_060406 | 184 | {
"max_stars_repo_path": "azure-devops/azext_devops/vstsCompressed/service_hooks/v4_0/models/__init__.py",
"max_stars_repo_name": "vijayraavi/azure-devops-cli-extension",
"max_stars_count": 0,
"id": "315",
"raw_source_hash": "a998f42a93e7821093f6ab175afd2e8f21e539a13b9902a2af3fb10d4fc5068e",
"sanitize_meta"... | {
"raw_source_hash": "a998f42a93e7821093f6ab175afd2e8f21e539a13b9902a2af3fb10d4fc5068e",
"normalized_source_hash": "6fda89d31ab6db465760f4473792d55859a3018eb59115b351efb38f94d3788f",
"source_ast_hash": "a10ff7884793f0e13241687723c9309e1af678e21bf58bc063511dfd68e66ff9",
"artifact_hash": "5d84a71c135c18b5dfa74554... | true | true | null |
python_to_es_plaincode | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt en the project root for license information.
# --------------------------------------------------------------------... | python | es | run_002_20260417_060406 | 184 | {
"max_stars_repo_path": "azure-devops/azext_devops/vstsCompressed/service_hooks/v4_0/models/__init__.py",
"max_stars_repo_name": "vijayraavi/azure-devops-cli-extension",
"max_stars_count": 0,
"id": "315",
"raw_source_hash": "a998f42a93e7821093f6ab175afd2e8f21e539a13b9902a2af3fb10d4fc5068e",
"sanitize_meta"... | {
"raw_source_hash": "a998f42a93e7821093f6ab175afd2e8f21e539a13b9902a2af3fb10d4fc5068e",
"normalized_source_hash": "6fda89d31ab6db465760f4473792d55859a3018eb59115b351efb38f94d3788f",
"source_ast_hash": "a10ff7884793f0e13241687723c9309e1af678e21bf58bc063511dfd68e66ff9",
"artifact_hash": "5d84a71c135c18b5dfa74554... | true | true | null |
python_to_fr_plaincode | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt dans the project root for license information.
# ------------------------------------------------------------------... | python | fr | run_002_20260417_060406 | 184 | {
"max_stars_repo_path": "azure-devops/azext_devops/vstsCompressed/service_hooks/v4_0/models/__init__.py",
"max_stars_repo_name": "vijayraavi/azure-devops-cli-extension",
"max_stars_count": 0,
"id": "315",
"raw_source_hash": "a998f42a93e7821093f6ab175afd2e8f21e539a13b9902a2af3fb10d4fc5068e",
"sanitize_meta"... | {
"raw_source_hash": "a998f42a93e7821093f6ab175afd2e8f21e539a13b9902a2af3fb10d4fc5068e",
"normalized_source_hash": "6fda89d31ab6db465760f4473792d55859a3018eb59115b351efb38f94d3788f",
"source_ast_hash": "a10ff7884793f0e13241687723c9309e1af678e21bf58bc063511dfd68e66ff9",
"artifact_hash": "5d84a71c135c18b5dfa74554... | true | true | null |
en_plaincode_to_python | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | en | python | run_002_20260417_060406 | 184 | {
"max_stars_repo_path": "azure-devops/azext_devops/vstsCompressed/service_hooks/v4_0/models/__init__.py",
"max_stars_repo_name": "vijayraavi/azure-devops-cli-extension",
"max_stars_count": 0,
"id": "315",
"raw_source_hash": "a998f42a93e7821093f6ab175afd2e8f21e539a13b9902a2af3fb10d4fc5068e",
"sanitize_meta"... | {
"raw_source_hash": "a998f42a93e7821093f6ab175afd2e8f21e539a13b9902a2af3fb10d4fc5068e",
"normalized_source_hash": "6fda89d31ab6db465760f4473792d55859a3018eb59115b351efb38f94d3788f",
"source_ast_hash": "a10ff7884793f0e13241687723c9309e1af678e21bf58bc063511dfd68e66ff9",
"artifact_hash": "5d84a71c135c18b5dfa74554... | true | true | null |
python_to_en_plaincode | import datetime as date
from pzd_utils import datetime_to_str
class PizdyukLogger:
__logger = None
def __init__(self):
global __logger
if self.__logger:
raise RuntimeError("Logger instance already exists")
@staticmethod
def get_logger():
global __logger
if... | Load datetime, referred to as date.
Load datetime_to_str from pzd_utils.
Define class PizdyukLogger:
Set __logger to None.
Define method __init__ with parameter self:
Treat __logger as global.
If self dot __logger:
Raise RuntimeError with "Logger instance already exists".
Apply s... | python | en | run_002_20260417_060406 | 185 | {
"max_stars_repo_path": "pizdyuk/pzd_logging.py",
"max_stars_repo_name": "DeathAdder1999/Pizdyuk",
"max_stars_count": 1,
"id": "316",
"raw_source_hash": "0409dd9eaaa696b78afa1902a4f77322e709143877ed0ca2d6548b9fba373075",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"larg... | {
"raw_source_hash": "0409dd9eaaa696b78afa1902a4f77322e709143877ed0ca2d6548b9fba373075",
"normalized_source_hash": "56262592366e0f5a84000fd8fe7f19629bc7695dbf7f98426b3adc629dda3442",
"source_ast_hash": "ce2380ef025e6c018494f85f5377e53924ed8fb037e796c9783535505023eb83",
"artifact_hash": "a0208c91d15ad8c74563ab06... | true | true | null |
python_to_es_plaincode | import datetime as date
from pzd_utils import datetime_to_str
class PizdyukLogger:
__logger = None
def __init__(self):
global __logger
if self.__logger:
raise RuntimeError("Logger instance already exists")
@staticmethod
def get_logger():
global __logger
if... | Importar datetime, referido como date.
Importar datetime_to_str desde pzd_utils.
Definir clase PizdyukLogger:
Establecer __logger como None.
Definir método __init__ con parámetro self:
Tratar __logger como global.
Si self punto __logger:
Lanzar RuntimeError con "Logger instance alrea... | python | es | run_002_20260417_060406 | 185 | {
"max_stars_repo_path": "pizdyuk/pzd_logging.py",
"max_stars_repo_name": "DeathAdder1999/Pizdyuk",
"max_stars_count": 1,
"id": "316",
"raw_source_hash": "0409dd9eaaa696b78afa1902a4f77322e709143877ed0ca2d6548b9fba373075",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"larg... | {
"raw_source_hash": "0409dd9eaaa696b78afa1902a4f77322e709143877ed0ca2d6548b9fba373075",
"normalized_source_hash": "56262592366e0f5a84000fd8fe7f19629bc7695dbf7f98426b3adc629dda3442",
"source_ast_hash": "ce2380ef025e6c018494f85f5377e53924ed8fb037e796c9783535505023eb83",
"artifact_hash": "a0208c91d15ad8c74563ab06... | true | true | null |
python_to_fr_plaincode | import datetime as date
from pzd_utils import datetime_to_str
class PizdyukLogger:
__logger = None
def __init__(self):
global __logger
if self.__logger:
raise RuntimeError("Logger instance already exists")
@staticmethod
def get_logger():
global __logger
if... | Charger datetime, référé comme date.
Charger datetime_to_str depuis pzd_utils.
Définir classe PizdyukLogger:
Affecter __logger à None.
Définir méthode __init__ avec paramètre self:
Traiter __logger comme global.
Si self point de __logger:
Lever RuntimeError avec "Logger instance alre... | python | fr | run_002_20260417_060406 | 185 | {
"max_stars_repo_path": "pizdyuk/pzd_logging.py",
"max_stars_repo_name": "DeathAdder1999/Pizdyuk",
"max_stars_count": 1,
"id": "316",
"raw_source_hash": "0409dd9eaaa696b78afa1902a4f77322e709143877ed0ca2d6548b9fba373075",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"larg... | {
"raw_source_hash": "0409dd9eaaa696b78afa1902a4f77322e709143877ed0ca2d6548b9fba373075",
"normalized_source_hash": "56262592366e0f5a84000fd8fe7f19629bc7695dbf7f98426b3adc629dda3442",
"source_ast_hash": "ce2380ef025e6c018494f85f5377e53924ed8fb037e796c9783535505023eb83",
"artifact_hash": "a0208c91d15ad8c74563ab06... | true | true | null |
en_plaincode_to_python | Load datetime, referred to as date.
Load datetime_to_str from pzd_utils.
Define class PizdyukLogger:
Set __logger to None.
Define method __init__ with parameter self:
Treat __logger as global.
If self dot __logger:
Raise RuntimeError with "Logger instance already exists".
Apply s... | import datetime as date
from pzd_utils import datetime_to_str
class PizdyukLogger:
__logger = None
def __init__(self):
global __logger
if self.__logger:
raise RuntimeError("Logger instance already exists")
@staticmethod
def get_logger():
global __logger
if... | en | python | run_002_20260417_060406 | 185 | {
"max_stars_repo_path": "pizdyuk/pzd_logging.py",
"max_stars_repo_name": "DeathAdder1999/Pizdyuk",
"max_stars_count": 1,
"id": "316",
"raw_source_hash": "0409dd9eaaa696b78afa1902a4f77322e709143877ed0ca2d6548b9fba373075",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"larg... | {
"raw_source_hash": "0409dd9eaaa696b78afa1902a4f77322e709143877ed0ca2d6548b9fba373075",
"normalized_source_hash": "56262592366e0f5a84000fd8fe7f19629bc7695dbf7f98426b3adc629dda3442",
"source_ast_hash": "ce2380ef025e6c018494f85f5377e53924ed8fb037e796c9783535505023eb83",
"artifact_hash": "a0208c91d15ad8c74563ab06... | true | true | null |
python_to_en_plaincode | import numpy as np
from defdap.quat import Quat
hex_syms = Quat.symEqv("hexagonal")
# subset of hexagonal symmetries that give unique orientations when the
# Burgers transformation is applied
unq_hex_syms = [
hex_syms[0],
hex_syms[5],
hex_syms[4],
hex_syms[2],
hex_syms[10],
hex_syms[11]
]
cubi... | Load numpy, referred to as np.
Load Quat from defdap.quat.
Set hex_syms to Quat dot symEqv with "hexagonal".
# subset of hexagonal symmetries that give unique orientations when the
# Burgers transformation is applied
Set unq_hex_syms to the list [
item 0 of hex_syms,
item 5 of hex_syms,
item 4 of hex_syms,
item 2 of he... | python | en | run_002_20260417_060406 | 186 | {
"max_stars_repo_path": "beta_reconstruction/crystal_relations.py",
"max_stars_repo_name": "LightForm-group/beta-reconstruction",
"max_stars_count": 0,
"id": "317",
"raw_source_hash": "2a13d5eca33f175241d113fd51755e33a17b8ef61bca57c054af018244b7c65c",
"sanitize_meta": {
"triple_block_count": 0,
"to... | {
"raw_source_hash": "2a13d5eca33f175241d113fd51755e33a17b8ef61bca57c054af018244b7c65c",
"normalized_source_hash": "c4045d185acb97584399034499a0e9f7ed9536c6ac70a6b6e83674574f35ced3",
"source_ast_hash": "d38331a71f808d3dcbe5819bab1682bc89ee7e061e5f8259981ff06a1a474c23",
"artifact_hash": "626234591ef8f7d2a8319fb6... | true | true | null |
python_to_es_plaincode | import numpy as np
from defdap.quat import Quat
hex_syms = Quat.symEqv("hexagonal")
# subset of hexagonal symmetries that give unique orientations when the
# Burgers transformation is applied
unq_hex_syms = [
hex_syms[0],
hex_syms[5],
hex_syms[4],
hex_syms[2],
hex_syms[10],
hex_syms[11]
]
cubi... | Importar numpy, referido como np.
Importar Quat desde defdap.quat.
Establecer hex_syms como Quat punto symEqv con "hexagonal".
# subset de hexagonal symmetries that give unique orientations when the
# Burgers transformation es applied
Establecer unq_hex_syms como la lista [
elemento 0 de hex_syms,
elemento 5 de hex_sym... | python | es | run_002_20260417_060406 | 186 | {
"max_stars_repo_path": "beta_reconstruction/crystal_relations.py",
"max_stars_repo_name": "LightForm-group/beta-reconstruction",
"max_stars_count": 0,
"id": "317",
"raw_source_hash": "2a13d5eca33f175241d113fd51755e33a17b8ef61bca57c054af018244b7c65c",
"sanitize_meta": {
"triple_block_count": 0,
"to... | {
"raw_source_hash": "2a13d5eca33f175241d113fd51755e33a17b8ef61bca57c054af018244b7c65c",
"normalized_source_hash": "c4045d185acb97584399034499a0e9f7ed9536c6ac70a6b6e83674574f35ced3",
"source_ast_hash": "d38331a71f808d3dcbe5819bab1682bc89ee7e061e5f8259981ff06a1a474c23",
"artifact_hash": "626234591ef8f7d2a8319fb6... | true | true | null |
python_to_fr_plaincode | import numpy as np
from defdap.quat import Quat
hex_syms = Quat.symEqv("hexagonal")
# subset of hexagonal symmetries that give unique orientations when the
# Burgers transformation is applied
unq_hex_syms = [
hex_syms[0],
hex_syms[5],
hex_syms[4],
hex_syms[2],
hex_syms[10],
hex_syms[11]
]
cubi... | Charger numpy, référé comme np.
Charger Quat depuis defdap.quat.
Affecter hex_syms à Quat point de symEqv avec "hexagonal".
# subset de hexagonal symmetries that give unique orientations when the
# Burgers transformation est applied
Affecter unq_hex_syms à la liste [
élément 0 de hex_syms,
élément 5 de hex_syms,
élémen... | python | fr | run_002_20260417_060406 | 186 | {
"max_stars_repo_path": "beta_reconstruction/crystal_relations.py",
"max_stars_repo_name": "LightForm-group/beta-reconstruction",
"max_stars_count": 0,
"id": "317",
"raw_source_hash": "2a13d5eca33f175241d113fd51755e33a17b8ef61bca57c054af018244b7c65c",
"sanitize_meta": {
"triple_block_count": 0,
"to... | {
"raw_source_hash": "2a13d5eca33f175241d113fd51755e33a17b8ef61bca57c054af018244b7c65c",
"normalized_source_hash": "c4045d185acb97584399034499a0e9f7ed9536c6ac70a6b6e83674574f35ced3",
"source_ast_hash": "d38331a71f808d3dcbe5819bab1682bc89ee7e061e5f8259981ff06a1a474c23",
"artifact_hash": "626234591ef8f7d2a8319fb6... | true | true | null |
en_plaincode_to_python | Load numpy, referred to as np.
Load Quat from defdap.quat.
Set hex_syms to Quat dot symEqv with "hexagonal".
# subset of hexagonal symmetries that give unique orientations when the
# Burgers transformation is applied
Set unq_hex_syms to the list [
item 0 of hex_syms,
item 5 of hex_syms,
item 4 of hex_syms,
item 2 of he... | import numpy as np
from defdap.quat import Quat
hex_syms = Quat.symEqv("hexagonal")
# subset of hexagonal symmetries that give unique orientations when the
# Burgers transformation is applied
unq_hex_syms = [
hex_syms[0],
hex_syms[5],
hex_syms[4],
hex_syms[2],
hex_syms[10],
hex_syms[11]
]
cubi... | en | python | run_002_20260417_060406 | 186 | {
"max_stars_repo_path": "beta_reconstruction/crystal_relations.py",
"max_stars_repo_name": "LightForm-group/beta-reconstruction",
"max_stars_count": 0,
"id": "317",
"raw_source_hash": "2a13d5eca33f175241d113fd51755e33a17b8ef61bca57c054af018244b7c65c",
"sanitize_meta": {
"triple_block_count": 0,
"to... | {
"raw_source_hash": "2a13d5eca33f175241d113fd51755e33a17b8ef61bca57c054af018244b7c65c",
"normalized_source_hash": "c4045d185acb97584399034499a0e9f7ed9536c6ac70a6b6e83674574f35ced3",
"source_ast_hash": "d38331a71f808d3dcbe5819bab1682bc89ee7e061e5f8259981ff06a1a474c23",
"artifact_hash": "626234591ef8f7d2a8319fb6... | true | true | null |
python_to_en_plaincode | from flask import jsonify, Blueprint, request, json, make_response
from werkzeug.security import generate_password_hash, check_password_hash
from datetime import datetime
from ..utils.validators import Validation
from ..models.auth_models import Users
v1_auth_blueprint = Blueprint('auth', __name__, url_prefix='/api/v... | Load jsonify, Blueprint, request, json, make_response from flask.
Load generate_password_hash, check_password_hash from werkzeug.security.
Load datetime from datetime.
Load Validation from the parent package.utils.validators.
Load Users from the parent package.models.auth_models.
Set v1_auth_blueprint to Blueprint with... | python | en | run_002_20260417_060406 | 187 | {
"max_stars_repo_path": "app/api/v1/views/auth_views.py",
"max_stars_repo_name": "emdeechege/Questionaire-API",
"max_stars_count": 0,
"id": "319",
"raw_source_hash": "52d18167f9db16a840b79f0a910b431cc29c3353799b79a5fbf54806e358e596",
"sanitize_meta": {
"triple_block_count": 2,
"total_triple_chars":... | {
"raw_source_hash": "52d18167f9db16a840b79f0a910b431cc29c3353799b79a5fbf54806e358e596",
"normalized_source_hash": "33ac5a7b7357e2349e189fc901e0779ea5a706e58afb0d97fd7c9aff0fb861d5",
"source_ast_hash": "b570280923f9c14ae330b04baece4b2b5b6b618c5b7f3d5a9e89cc569259900d",
"artifact_hash": "ec8ff859f0b945a40bbb9021... | true | true | null |
python_to_es_plaincode | from flask import jsonify, Blueprint, request, json, make_response
from werkzeug.security import generate_password_hash, check_password_hash
from datetime import datetime
from ..utils.validators import Validation
from ..models.auth_models import Users
v1_auth_blueprint = Blueprint('auth', __name__, url_prefix='/api/v... | Importar jsonify, Blueprint, request, json, make_response desde flask.
Importar generate_password_hash, check_password_hash desde werkzeug.security.
Importar datetime desde datetime.
Importar Validation desde el paquete padre.utils.validators.
Importar Users desde el paquete padre.models.auth_models.
Establecer v1_auth... | python | es | run_002_20260417_060406 | 187 | {
"max_stars_repo_path": "app/api/v1/views/auth_views.py",
"max_stars_repo_name": "emdeechege/Questionaire-API",
"max_stars_count": 0,
"id": "319",
"raw_source_hash": "52d18167f9db16a840b79f0a910b431cc29c3353799b79a5fbf54806e358e596",
"sanitize_meta": {
"triple_block_count": 2,
"total_triple_chars":... | {
"raw_source_hash": "52d18167f9db16a840b79f0a910b431cc29c3353799b79a5fbf54806e358e596",
"normalized_source_hash": "33ac5a7b7357e2349e189fc901e0779ea5a706e58afb0d97fd7c9aff0fb861d5",
"source_ast_hash": "b570280923f9c14ae330b04baece4b2b5b6b618c5b7f3d5a9e89cc569259900d",
"artifact_hash": "ec8ff859f0b945a40bbb9021... | true | true | null |
python_to_fr_plaincode | from flask import jsonify, Blueprint, request, json, make_response
from werkzeug.security import generate_password_hash, check_password_hash
from datetime import datetime
from ..utils.validators import Validation
from ..models.auth_models import Users
v1_auth_blueprint = Blueprint('auth', __name__, url_prefix='/api/v... | Charger jsonify, Blueprint, request, json, make_response depuis flask.
Charger generate_password_hash, check_password_hash depuis werkzeug.security.
Charger datetime depuis datetime.
Charger Validation depuis le paquet parent.utils.validators.
Charger Users depuis le paquet parent.models.auth_models.
Affecter v1_auth_b... | python | fr | run_002_20260417_060406 | 187 | {
"max_stars_repo_path": "app/api/v1/views/auth_views.py",
"max_stars_repo_name": "emdeechege/Questionaire-API",
"max_stars_count": 0,
"id": "319",
"raw_source_hash": "52d18167f9db16a840b79f0a910b431cc29c3353799b79a5fbf54806e358e596",
"sanitize_meta": {
"triple_block_count": 2,
"total_triple_chars":... | {
"raw_source_hash": "52d18167f9db16a840b79f0a910b431cc29c3353799b79a5fbf54806e358e596",
"normalized_source_hash": "33ac5a7b7357e2349e189fc901e0779ea5a706e58afb0d97fd7c9aff0fb861d5",
"source_ast_hash": "b570280923f9c14ae330b04baece4b2b5b6b618c5b7f3d5a9e89cc569259900d",
"artifact_hash": "ec8ff859f0b945a40bbb9021... | true | true | null |
en_plaincode_to_python | Load jsonify, Blueprint, request, json, make_response from flask.
Load generate_password_hash, check_password_hash from werkzeug.security.
Load datetime from datetime.
Load Validation from the parent package.utils.validators.
Load Users from the parent package.models.auth_models.
Set v1_auth_blueprint to Blueprint with... | from flask import jsonify, Blueprint, request, json, make_response
from werkzeug.security import generate_password_hash, check_password_hash
from datetime import datetime
from ..utils.validators import Validation
from ..models.auth_models import Users
v1_auth_blueprint = Blueprint('auth', __name__, url_prefix='/api/v... | en | python | run_002_20260417_060406 | 187 | {
"max_stars_repo_path": "app/api/v1/views/auth_views.py",
"max_stars_repo_name": "emdeechege/Questionaire-API",
"max_stars_count": 0,
"id": "319",
"raw_source_hash": "52d18167f9db16a840b79f0a910b431cc29c3353799b79a5fbf54806e358e596",
"sanitize_meta": {
"triple_block_count": 2,
"total_triple_chars":... | {
"raw_source_hash": "52d18167f9db16a840b79f0a910b431cc29c3353799b79a5fbf54806e358e596",
"normalized_source_hash": "33ac5a7b7357e2349e189fc901e0779ea5a706e58afb0d97fd7c9aff0fb861d5",
"source_ast_hash": "b570280923f9c14ae330b04baece4b2b5b6b618c5b7f3d5a9e89cc569259900d",
"artifact_hash": "ec8ff859f0b945a40bbb9021... | true | true | null |
python_to_en_plaincode | from __future__ import division, unicode_literals, print_function, absolute_import
from pint.util import (UnitsContainer)
from pint.converters import (ScaleConverter, OffsetConverter)
from pint.definitions import (Definition, PrefixDefinition, UnitDefinition,
DimensionDefinition, AliasDef... | Load division, unicode_literals, print_function, absolute_import from __future__.
Load UnitsContainer from pint.util.
Load ScaleConverter, OffsetConverter from pint.converters.
Load Definition, PrefixDefinition, UnitDefinition, DimensionDefinition, AliasDefinition from pint.definitions.
Load BaseTestCase from pint.test... | python | en | run_002_20260417_060406 | 188 | {
"max_stars_repo_path": "pint/testsuite/test_definitions.py",
"max_stars_repo_name": "s-avni/pint",
"max_stars_count": 0,
"id": "320",
"raw_source_hash": "9d9b2bc67d850721546decc2bfc2859bbf1848cc98f0c82f140f57e6d6a10505",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"lar... | {
"raw_source_hash": "9d9b2bc67d850721546decc2bfc2859bbf1848cc98f0c82f140f57e6d6a10505",
"normalized_source_hash": "db662ecc228a0fd4982dbe2c4c996368149dd815762e607e096664301b63e1f4",
"source_ast_hash": "2914ec4244ae15646c98a9fd88950d20b3a93dbf7cffc1a4874ec180127c91dd",
"artifact_hash": "fbb5e5ef1e21926dcb4afd8e... | true | true | null |
python_to_es_plaincode | from __future__ import division, unicode_literals, print_function, absolute_import
from pint.util import (UnitsContainer)
from pint.converters import (ScaleConverter, OffsetConverter)
from pint.definitions import (Definition, PrefixDefinition, UnitDefinition,
DimensionDefinition, AliasDef... | Importar division, unicode_literals, print_function, absolute_import desde __future__.
Importar UnitsContainer desde pint.util.
Importar ScaleConverter, OffsetConverter desde pint.converters.
Importar Definition, PrefixDefinition, UnitDefinition, DimensionDefinition, AliasDefinition desde pint.definitions.
Importar Bas... | python | es | run_002_20260417_060406 | 188 | {
"max_stars_repo_path": "pint/testsuite/test_definitions.py",
"max_stars_repo_name": "s-avni/pint",
"max_stars_count": 0,
"id": "320",
"raw_source_hash": "9d9b2bc67d850721546decc2bfc2859bbf1848cc98f0c82f140f57e6d6a10505",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"lar... | {
"raw_source_hash": "9d9b2bc67d850721546decc2bfc2859bbf1848cc98f0c82f140f57e6d6a10505",
"normalized_source_hash": "db662ecc228a0fd4982dbe2c4c996368149dd815762e607e096664301b63e1f4",
"source_ast_hash": "2914ec4244ae15646c98a9fd88950d20b3a93dbf7cffc1a4874ec180127c91dd",
"artifact_hash": "fbb5e5ef1e21926dcb4afd8e... | true | true | null |
python_to_fr_plaincode | from __future__ import division, unicode_literals, print_function, absolute_import
from pint.util import (UnitsContainer)
from pint.converters import (ScaleConverter, OffsetConverter)
from pint.definitions import (Definition, PrefixDefinition, UnitDefinition,
DimensionDefinition, AliasDef... | Charger division, unicode_literals, print_function, absolute_import depuis __future__.
Charger UnitsContainer depuis pint.util.
Charger ScaleConverter, OffsetConverter depuis pint.converters.
Charger Definition, PrefixDefinition, UnitDefinition, DimensionDefinition, AliasDefinition depuis pint.definitions.
Charger Base... | python | fr | run_002_20260417_060406 | 188 | {
"max_stars_repo_path": "pint/testsuite/test_definitions.py",
"max_stars_repo_name": "s-avni/pint",
"max_stars_count": 0,
"id": "320",
"raw_source_hash": "9d9b2bc67d850721546decc2bfc2859bbf1848cc98f0c82f140f57e6d6a10505",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"lar... | {
"raw_source_hash": "9d9b2bc67d850721546decc2bfc2859bbf1848cc98f0c82f140f57e6d6a10505",
"normalized_source_hash": "db662ecc228a0fd4982dbe2c4c996368149dd815762e607e096664301b63e1f4",
"source_ast_hash": "2914ec4244ae15646c98a9fd88950d20b3a93dbf7cffc1a4874ec180127c91dd",
"artifact_hash": "fbb5e5ef1e21926dcb4afd8e... | true | true | null |
en_plaincode_to_python | Load division, unicode_literals, print_function, absolute_import from __future__.
Load UnitsContainer from pint.util.
Load ScaleConverter, OffsetConverter from pint.converters.
Load Definition, PrefixDefinition, UnitDefinition, DimensionDefinition, AliasDefinition from pint.definitions.
Load BaseTestCase from pint.test... | from __future__ import division, unicode_literals, print_function, absolute_import
from pint.util import (UnitsContainer)
from pint.converters import (ScaleConverter, OffsetConverter)
from pint.definitions import (Definition, PrefixDefinition, UnitDefinition,
DimensionDefinition, AliasDef... | en | python | run_002_20260417_060406 | 188 | {
"max_stars_repo_path": "pint/testsuite/test_definitions.py",
"max_stars_repo_name": "s-avni/pint",
"max_stars_count": 0,
"id": "320",
"raw_source_hash": "9d9b2bc67d850721546decc2bfc2859bbf1848cc98f0c82f140f57e6d6a10505",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"lar... | {
"raw_source_hash": "9d9b2bc67d850721546decc2bfc2859bbf1848cc98f0c82f140f57e6d6a10505",
"normalized_source_hash": "db662ecc228a0fd4982dbe2c4c996368149dd815762e607e096664301b63e1f4",
"source_ast_hash": "2914ec4244ae15646c98a9fd88950d20b3a93dbf7cffc1a4874ec180127c91dd",
"artifact_hash": "fbb5e5ef1e21926dcb4afd8e... | true | true | null |
python_to_en_plaincode | ##########################################################################
#
# Copyright 2012 <NAME>
# All Rights Reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restricti... | # #########################################################################
#
# Copyright 2012 <NAME>
# All Rights Reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restrict... | python | en | run_002_20260417_060406 | 189 | {
"max_stars_repo_path": "specs/d3d11.py",
"max_stars_repo_name": "ds-hwang/apitrace",
"max_stars_count": 1,
"id": "322",
"raw_source_hash": "babaffa0aa3670e5a40df648436407e358b8936f133778daf0d31f004ceefa8a",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"largest_triple_bl... | {
"raw_source_hash": "babaffa0aa3670e5a40df648436407e358b8936f133778daf0d31f004ceefa8a",
"normalized_source_hash": "633a0f933cc7c167b33bc0c61f1433d45258acf4b386ef4d9db7e579cbf717bb",
"source_ast_hash": "9fb4afd8559c8acaedb2b86a1a4df51223f25ef7043958c22c105113bcef484d",
"artifact_hash": "d16bdfa16b9191afb1497464... | true | true | null |
python_to_es_plaincode | ##########################################################################
#
# Copyright 2012 <NAME>
# All Rights Reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restricti... | # #########################################################################
#
# Copyright 2012 <NAME>
# All Rights Reserved.
#
# Permission es hereby granted, free de charge, como any person obtaining a copy
# de this software y también associated documentation files (the "Software"), como deal
# en the Software withou... | python | es | run_002_20260417_060406 | 189 | {
"max_stars_repo_path": "specs/d3d11.py",
"max_stars_repo_name": "ds-hwang/apitrace",
"max_stars_count": 1,
"id": "322",
"raw_source_hash": "babaffa0aa3670e5a40df648436407e358b8936f133778daf0d31f004ceefa8a",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"largest_triple_bl... | {
"raw_source_hash": "babaffa0aa3670e5a40df648436407e358b8936f133778daf0d31f004ceefa8a",
"normalized_source_hash": "633a0f933cc7c167b33bc0c61f1433d45258acf4b386ef4d9db7e579cbf717bb",
"source_ast_hash": "9fb4afd8559c8acaedb2b86a1a4df51223f25ef7043958c22c105113bcef484d",
"artifact_hash": "d16bdfa16b9191afb1497464... | true | true | null |
python_to_fr_plaincode | ##########################################################################
#
# Copyright 2012 <NAME>
# All Rights Reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restricti... | # #########################################################################
#
# Copyright 2012 <NAME>
# All Rights Reserved.
#
# Permission est hereby granted, free de charge, à any person obtaining a copy
# de this software et associated documentation files (the "Software"), à deal
# dans the Software without restrict... | python | fr | run_002_20260417_060406 | 189 | {
"max_stars_repo_path": "specs/d3d11.py",
"max_stars_repo_name": "ds-hwang/apitrace",
"max_stars_count": 1,
"id": "322",
"raw_source_hash": "babaffa0aa3670e5a40df648436407e358b8936f133778daf0d31f004ceefa8a",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"largest_triple_bl... | {
"raw_source_hash": "babaffa0aa3670e5a40df648436407e358b8936f133778daf0d31f004ceefa8a",
"normalized_source_hash": "633a0f933cc7c167b33bc0c61f1433d45258acf4b386ef4d9db7e579cbf717bb",
"source_ast_hash": "9fb4afd8559c8acaedb2b86a1a4df51223f25ef7043958c22c105113bcef484d",
"artifact_hash": "d16bdfa16b9191afb1497464... | true | true | null |
en_plaincode_to_python | # #########################################################################
#
# Copyright 2012 <NAME>
# All Rights Reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restrict... | ##########################################################################
#
# Copyright 2012 <NAME>
# All Rights Reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restricti... | en | python | run_002_20260417_060406 | 189 | {
"max_stars_repo_path": "specs/d3d11.py",
"max_stars_repo_name": "ds-hwang/apitrace",
"max_stars_count": 1,
"id": "322",
"raw_source_hash": "babaffa0aa3670e5a40df648436407e358b8936f133778daf0d31f004ceefa8a",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"largest_triple_bl... | {
"raw_source_hash": "babaffa0aa3670e5a40df648436407e358b8936f133778daf0d31f004ceefa8a",
"normalized_source_hash": "633a0f933cc7c167b33bc0c61f1433d45258acf4b386ef4d9db7e579cbf717bb",
"source_ast_hash": "9fb4afd8559c8acaedb2b86a1a4df51223f25ef7043958c22c105113bcef484d",
"artifact_hash": "d16bdfa16b9191afb1497464... | true | true | null |
python_to_en_plaincode | from copy import deepcopy
def boot(seq):
index = 0
played_indices = set()
acc = 0
while True:
if index == len(seq):
return True, acc
if index in played_indices:
return False, acc
played_indices.add(index)
line = seq[index].split()
op ... | Load deepcopy from copy.
Define function boot with parameter seq:
Set `index` to 0.
Set played_indices to an empty set.
Set acc to 0.
While True:
If `index` equals len with seq:
Return the tuple (True, acc).
If `index` is in played_indices:
Return the tuple (False... | python | en | run_002_20260417_060406 | 190 | {
"max_stars_repo_path": "day08.py",
"max_stars_repo_name": "Pil0u/adventofcode2020",
"max_stars_count": 0,
"id": "323",
"raw_source_hash": "2cef74930cd2333b9de3e947a94c99be1579f12484a29e25d4a78705d90d1c89",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"largest_triple_blo... | {
"raw_source_hash": "2cef74930cd2333b9de3e947a94c99be1579f12484a29e25d4a78705d90d1c89",
"normalized_source_hash": "7f4267d92ed30c12c0826c61bee1107733ae73a6e0b24acaeb18c6c09e8dd242",
"source_ast_hash": "c30ccad0ec9fcc4eeb839859401bc419be5a8b75dc56c1ef06b86eb6384bc198",
"artifact_hash": "cc43f06ae62d18d4525041ae... | true | true | null |
python_to_es_plaincode | from copy import deepcopy
def boot(seq):
index = 0
played_indices = set()
acc = 0
while True:
if index == len(seq):
return True, acc
if index in played_indices:
return False, acc
played_indices.add(index)
line = seq[index].split()
op ... | Importar deepcopy desde copy.
Definir función boot con parámetro seq:
Establecer `index` como 0.
Establecer played_indices como un conjunto vacío.
Establecer acc como 0.
Mientras True:
Si `index` es igual a len con seq:
Devolver la tupla (True, acc).
Si `index` está en played... | python | es | run_002_20260417_060406 | 190 | {
"max_stars_repo_path": "day08.py",
"max_stars_repo_name": "Pil0u/adventofcode2020",
"max_stars_count": 0,
"id": "323",
"raw_source_hash": "2cef74930cd2333b9de3e947a94c99be1579f12484a29e25d4a78705d90d1c89",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"largest_triple_blo... | {
"raw_source_hash": "2cef74930cd2333b9de3e947a94c99be1579f12484a29e25d4a78705d90d1c89",
"normalized_source_hash": "7f4267d92ed30c12c0826c61bee1107733ae73a6e0b24acaeb18c6c09e8dd242",
"source_ast_hash": "c30ccad0ec9fcc4eeb839859401bc419be5a8b75dc56c1ef06b86eb6384bc198",
"artifact_hash": "cc43f06ae62d18d4525041ae... | true | true | null |
python_to_fr_plaincode | from copy import deepcopy
def boot(seq):
index = 0
played_indices = set()
acc = 0
while True:
if index == len(seq):
return True, acc
if index in played_indices:
return False, acc
played_indices.add(index)
line = seq[index].split()
op ... | Charger deepcopy depuis copy.
Définir fonction boot avec paramètre seq:
Affecter `index` à 0.
Affecter played_indices à un ensemble vide.
Affecter acc à 0.
Tant que True:
Si `index` est égal à len avec seq:
Retourner le tuple (True, acc).
Si `index` est dans played_indices:
... | python | fr | run_002_20260417_060406 | 190 | {
"max_stars_repo_path": "day08.py",
"max_stars_repo_name": "Pil0u/adventofcode2020",
"max_stars_count": 0,
"id": "323",
"raw_source_hash": "2cef74930cd2333b9de3e947a94c99be1579f12484a29e25d4a78705d90d1c89",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"largest_triple_blo... | {
"raw_source_hash": "2cef74930cd2333b9de3e947a94c99be1579f12484a29e25d4a78705d90d1c89",
"normalized_source_hash": "7f4267d92ed30c12c0826c61bee1107733ae73a6e0b24acaeb18c6c09e8dd242",
"source_ast_hash": "c30ccad0ec9fcc4eeb839859401bc419be5a8b75dc56c1ef06b86eb6384bc198",
"artifact_hash": "cc43f06ae62d18d4525041ae... | true | true | null |
en_plaincode_to_python | Load deepcopy from copy.
Define function boot with parameter seq:
Set `index` to 0.
Set played_indices to an empty set.
Set acc to 0.
While True:
If `index` equals len with seq:
Return the tuple (True, acc).
If `index` is in played_indices:
Return the tuple (False... | from copy import deepcopy
def boot(seq):
index = 0
played_indices = set()
acc = 0
while True:
if index == len(seq):
return True, acc
if index in played_indices:
return False, acc
played_indices.add(index)
line = seq[index].split()
op ... | en | python | run_002_20260417_060406 | 190 | {
"max_stars_repo_path": "day08.py",
"max_stars_repo_name": "Pil0u/adventofcode2020",
"max_stars_count": 0,
"id": "323",
"raw_source_hash": "2cef74930cd2333b9de3e947a94c99be1579f12484a29e25d4a78705d90d1c89",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"largest_triple_blo... | {
"raw_source_hash": "2cef74930cd2333b9de3e947a94c99be1579f12484a29e25d4a78705d90d1c89",
"normalized_source_hash": "7f4267d92ed30c12c0826c61bee1107733ae73a6e0b24acaeb18c6c09e8dd242",
"source_ast_hash": "c30ccad0ec9fcc4eeb839859401bc419be5a8b75dc56c1ef06b86eb6384bc198",
"artifact_hash": "cc43f06ae62d18d4525041ae... | true | true | null |
python_to_en_plaincode | """
Created on Tue Jun 26 16:34:21 2018
@author: LiHongWang
"""
import os
import tensorflow as tf
from model import fcn_vgg
from model import fcn_mobile
from model import fcn_resnet_v2
from data import input_data
slim = tf.contrib.slim
def main():
num_classes=2
tfRecorf_dir= 'D:/dataSet/kitti/road/sub_u... | Text block:
""
"Created on Tue Jun 26 16:34:21 2018"
""
"@author: LiHongWang"
ending with a newline.
Load os.
Load tensorflow, referred to as tf.
Load fcn_vgg from model.
Load fcn_mobile from model.
Load fcn_resnet_v2 from model.
Load input_data from data.
Set slim to tf dot contrib dot slim.
Define function main:
... | python | en | run_002_20260417_060406 | 191 | {
"max_stars_repo_path": "train_fcn.py",
"max_stars_repo_name": "onlyNata/segModel",
"max_stars_count": 3,
"id": "324",
"raw_source_hash": "d2b41a24027081c402c2899073fbf7577c6f1d306efe5bfe6dbf00b99a1abe22",
"sanitize_meta": {
"triple_block_count": 1,
"total_triple_chars": 64,
"largest_triple_blo... | {
"raw_source_hash": "d2b41a24027081c402c2899073fbf7577c6f1d306efe5bfe6dbf00b99a1abe22",
"normalized_source_hash": "c135adb7dd8e611e81f82c2a746c80cca7692c81febfe31dd17f390d150e41d1",
"source_ast_hash": "82335544f337f0aabf31045d9b78eaa2be5a8ea216132be3f24a94881606756d",
"artifact_hash": "4366fadcfca27d7ea067bceb... | true | true | null |
python_to_es_plaincode | """
Created on Tue Jun 26 16:34:21 2018
@author: LiHongWang
"""
import os
import tensorflow as tf
from model import fcn_vgg
from model import fcn_mobile
from model import fcn_resnet_v2
from data import input_data
slim = tf.contrib.slim
def main():
num_classes=2
tfRecorf_dir= 'D:/dataSet/kitti/road/sub_u... | Texto literal:
""
"Created on Tue Jun 26 16:34:21 2018"
""
"@author: LiHongWang"
terminando con una nueva línea.
Importar os.
Importar tensorflow, referido como tf.
Importar fcn_vgg desde model.
Importar fcn_mobile desde model.
Importar fcn_resnet_v2 desde model.
Importar input_data desde data.
Establecer slim como tf ... | python | es | run_002_20260417_060406 | 191 | {
"max_stars_repo_path": "train_fcn.py",
"max_stars_repo_name": "onlyNata/segModel",
"max_stars_count": 3,
"id": "324",
"raw_source_hash": "d2b41a24027081c402c2899073fbf7577c6f1d306efe5bfe6dbf00b99a1abe22",
"sanitize_meta": {
"triple_block_count": 1,
"total_triple_chars": 64,
"largest_triple_blo... | {
"raw_source_hash": "d2b41a24027081c402c2899073fbf7577c6f1d306efe5bfe6dbf00b99a1abe22",
"normalized_source_hash": "c135adb7dd8e611e81f82c2a746c80cca7692c81febfe31dd17f390d150e41d1",
"source_ast_hash": "82335544f337f0aabf31045d9b78eaa2be5a8ea216132be3f24a94881606756d",
"artifact_hash": "4366fadcfca27d7ea067bceb... | true | true | null |
python_to_fr_plaincode | """
Created on Tue Jun 26 16:34:21 2018
@author: LiHongWang
"""
import os
import tensorflow as tf
from model import fcn_vgg
from model import fcn_mobile
from model import fcn_resnet_v2
from data import input_data
slim = tf.contrib.slim
def main():
num_classes=2
tfRecorf_dir= 'D:/dataSet/kitti/road/sub_u... | Texte littéral:
""
"Created on Tue Jun 26 16:34:21 2018"
""
"@author: LiHongWang"
se terminant par une nouvelle ligne.
Charger os.
Charger tensorflow, référé comme tf.
Charger fcn_vgg depuis model.
Charger fcn_mobile depuis model.
Charger fcn_resnet_v2 depuis model.
Charger input_data depuis data.
Affecter slim à tf po... | python | fr | run_002_20260417_060406 | 191 | {
"max_stars_repo_path": "train_fcn.py",
"max_stars_repo_name": "onlyNata/segModel",
"max_stars_count": 3,
"id": "324",
"raw_source_hash": "d2b41a24027081c402c2899073fbf7577c6f1d306efe5bfe6dbf00b99a1abe22",
"sanitize_meta": {
"triple_block_count": 1,
"total_triple_chars": 64,
"largest_triple_blo... | {
"raw_source_hash": "d2b41a24027081c402c2899073fbf7577c6f1d306efe5bfe6dbf00b99a1abe22",
"normalized_source_hash": "c135adb7dd8e611e81f82c2a746c80cca7692c81febfe31dd17f390d150e41d1",
"source_ast_hash": "82335544f337f0aabf31045d9b78eaa2be5a8ea216132be3f24a94881606756d",
"artifact_hash": "4366fadcfca27d7ea067bceb... | true | true | null |
en_plaincode_to_python | Text block:
""
"Created on Tue Jun 26 16:34:21 2018"
""
"@author: LiHongWang"
ending with a newline.
Load os.
Load tensorflow, referred to as tf.
Load fcn_vgg from model.
Load fcn_mobile from model.
Load fcn_resnet_v2 from model.
Load input_data from data.
Set slim to tf dot contrib dot slim.
Define function main:
... | """
Created on Tue Jun 26 16:34:21 2018
@author: LiHongWang
"""
import os
import tensorflow as tf
from model import fcn_vgg
from model import fcn_mobile
from model import fcn_resnet_v2
from data import input_data
slim = tf.contrib.slim
def main():
num_classes=2
tfRecorf_dir= 'D:/dataSet/kitti/road/sub_u... | en | python | run_002_20260417_060406 | 191 | {
"max_stars_repo_path": "train_fcn.py",
"max_stars_repo_name": "onlyNata/segModel",
"max_stars_count": 3,
"id": "324",
"raw_source_hash": "d2b41a24027081c402c2899073fbf7577c6f1d306efe5bfe6dbf00b99a1abe22",
"sanitize_meta": {
"triple_block_count": 1,
"total_triple_chars": 64,
"largest_triple_blo... | {
"raw_source_hash": "d2b41a24027081c402c2899073fbf7577c6f1d306efe5bfe6dbf00b99a1abe22",
"normalized_source_hash": "c135adb7dd8e611e81f82c2a746c80cca7692c81febfe31dd17f390d150e41d1",
"source_ast_hash": "82335544f337f0aabf31045d9b78eaa2be5a8ea216132be3f24a94881606756d",
"artifact_hash": "4366fadcfca27d7ea067bceb... | true | true | null |
python_to_en_plaincode | import codecs
from setuptools import find_packages, setup
setup(
name='filetype',
version='1.0.7',
description='Infer file type and MIME type of any file/buffer. '
'No external dependencies.',
long_description=codecs.open('README.rst', 'r',
encoding='utf... | Load codecs.
Load find_packages, setup from setuptools.
Call setup with name set to "filetype", version set to "1.0.7", description set to "Infer file type and MIME type of any file/buffer. No external dependencies.", long_description set to ((codecs dot open with "README.rst", "r", encoding set to "utf-8", and errors ... | python | en | run_002_20260417_060406 | 192 | {
"max_stars_repo_path": "setup.py",
"max_stars_repo_name": "xbabka01/filetype.py",
"max_stars_count": 0,
"id": "325",
"raw_source_hash": "fb62e129b2bbc57157d5c84a751814134f759dd3f0d549abd1a0b6d5d7df11d2",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"largest_triple_block... | {
"raw_source_hash": "fb62e129b2bbc57157d5c84a751814134f759dd3f0d549abd1a0b6d5d7df11d2",
"normalized_source_hash": "1ccebb82a629e8b8342c9f7298116416888b2767f4a1ad192c7c618ec43c59b8",
"source_ast_hash": "8b2dae5a0a0b5c1126a782a0e849e47c2018c104f3bfca2f00db5dbb82942607",
"artifact_hash": "06f2b65ee07743b330c2d116... | true | true | null |
python_to_es_plaincode | import codecs
from setuptools import find_packages, setup
setup(
name='filetype',
version='1.0.7',
description='Infer file type and MIME type of any file/buffer. '
'No external dependencies.',
long_description=codecs.open('README.rst', 'r',
encoding='utf... | Importar codecs.
Importar find_packages, setup desde setuptools.
Llamar setup con name establecido a "filetype", version establecido a "1.0.7", description establecido a "Infer file type and MIME type of any file/buffer. No external dependencies.", long_description establecido a ((codecs punto open con "README.rst", "r... | python | es | run_002_20260417_060406 | 192 | {
"max_stars_repo_path": "setup.py",
"max_stars_repo_name": "xbabka01/filetype.py",
"max_stars_count": 0,
"id": "325",
"raw_source_hash": "fb62e129b2bbc57157d5c84a751814134f759dd3f0d549abd1a0b6d5d7df11d2",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"largest_triple_block... | {
"raw_source_hash": "fb62e129b2bbc57157d5c84a751814134f759dd3f0d549abd1a0b6d5d7df11d2",
"normalized_source_hash": "1ccebb82a629e8b8342c9f7298116416888b2767f4a1ad192c7c618ec43c59b8",
"source_ast_hash": "8b2dae5a0a0b5c1126a782a0e849e47c2018c104f3bfca2f00db5dbb82942607",
"artifact_hash": "06f2b65ee07743b330c2d116... | true | true | null |
python_to_fr_plaincode | import codecs
from setuptools import find_packages, setup
setup(
name='filetype',
version='1.0.7',
description='Infer file type and MIME type of any file/buffer. '
'No external dependencies.',
long_description=codecs.open('README.rst', 'r',
encoding='utf... | Charger codecs.
Charger find_packages, setup depuis setuptools.
Appeler setup avec name défini à "filetype", version défini à "1.0.7", description défini à "Infer file type and MIME type of any file/buffer. No external dependencies.", long_description défini à ((codecs point de open avec "README.rst", "r", encoding déf... | python | fr | run_002_20260417_060406 | 192 | {
"max_stars_repo_path": "setup.py",
"max_stars_repo_name": "xbabka01/filetype.py",
"max_stars_count": 0,
"id": "325",
"raw_source_hash": "fb62e129b2bbc57157d5c84a751814134f759dd3f0d549abd1a0b6d5d7df11d2",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"largest_triple_block... | {
"raw_source_hash": "fb62e129b2bbc57157d5c84a751814134f759dd3f0d549abd1a0b6d5d7df11d2",
"normalized_source_hash": "1ccebb82a629e8b8342c9f7298116416888b2767f4a1ad192c7c618ec43c59b8",
"source_ast_hash": "8b2dae5a0a0b5c1126a782a0e849e47c2018c104f3bfca2f00db5dbb82942607",
"artifact_hash": "06f2b65ee07743b330c2d116... | true | true | null |
en_plaincode_to_python | Load codecs.
Load find_packages, setup from setuptools.
Call setup with name set to "filetype", version set to "1.0.7", description set to "Infer file type and MIME type of any file/buffer. No external dependencies.", long_description set to ((codecs dot open with "README.rst", "r", encoding set to "utf-8", and errors ... | import codecs
from setuptools import find_packages, setup
setup(
name='filetype',
version='1.0.7',
description='Infer file type and MIME type of any file/buffer. '
'No external dependencies.',
long_description=codecs.open('README.rst', 'r',
encoding='utf... | en | python | run_002_20260417_060406 | 192 | {
"max_stars_repo_path": "setup.py",
"max_stars_repo_name": "xbabka01/filetype.py",
"max_stars_count": 0,
"id": "325",
"raw_source_hash": "fb62e129b2bbc57157d5c84a751814134f759dd3f0d549abd1a0b6d5d7df11d2",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"largest_triple_block... | {
"raw_source_hash": "fb62e129b2bbc57157d5c84a751814134f759dd3f0d549abd1a0b6d5d7df11d2",
"normalized_source_hash": "1ccebb82a629e8b8342c9f7298116416888b2767f4a1ad192c7c618ec43c59b8",
"source_ast_hash": "8b2dae5a0a0b5c1126a782a0e849e47c2018c104f3bfca2f00db5dbb82942607",
"artifact_hash": "06f2b65ee07743b330c2d116... | true | true | null |
python_to_en_plaincode | # Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... | # Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... | python | en | run_002_20260417_060406 | 193 | {
"max_stars_repo_path": "iap/validate_jwt.py",
"max_stars_repo_name": "spitfire55/python-docs-samples",
"max_stars_count": 4,
"id": "327",
"raw_source_hash": "d24f92caf779761ac4cbbb11e6986dd74f5fd172ae176a3a8ac20f0931d2d187",
"sanitize_meta": {
"triple_block_count": 4,
"total_triple_chars": 1683,
... | {
"raw_source_hash": "d24f92caf779761ac4cbbb11e6986dd74f5fd172ae176a3a8ac20f0931d2d187",
"normalized_source_hash": "1caf09dbd47d024a68b2da3aed42672c7377a3b6ed23d004dcd4ac730053e2a0",
"source_ast_hash": "760d0e26333493f1f51041149c8300b8eac61848e0a3553f3d7b341e0b9e7bfd",
"artifact_hash": "c1cc738476b65bdc0d6e463d... | true | true | null |
python_to_es_plaincode | # Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... | # Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may no use this file except en compliance con the License.
# You may obtain a copy de the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required por applicable law o ag... | python | es | run_002_20260417_060406 | 193 | {
"max_stars_repo_path": "iap/validate_jwt.py",
"max_stars_repo_name": "spitfire55/python-docs-samples",
"max_stars_count": 4,
"id": "327",
"raw_source_hash": "d24f92caf779761ac4cbbb11e6986dd74f5fd172ae176a3a8ac20f0931d2d187",
"sanitize_meta": {
"triple_block_count": 4,
"total_triple_chars": 1683,
... | {
"raw_source_hash": "d24f92caf779761ac4cbbb11e6986dd74f5fd172ae176a3a8ac20f0931d2d187",
"normalized_source_hash": "1caf09dbd47d024a68b2da3aed42672c7377a3b6ed23d004dcd4ac730053e2a0",
"source_ast_hash": "760d0e26333493f1f51041149c8300b8eac61848e0a3553f3d7b341e0b9e7bfd",
"artifact_hash": "c1cc738476b65bdc0d6e463d... | true | true | null |
python_to_fr_plaincode | # Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... | # Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may non use this file except dans compliance avec the License.
# You may obtain a copy de the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required par applicable law ... | python | fr | run_002_20260417_060406 | 193 | {
"max_stars_repo_path": "iap/validate_jwt.py",
"max_stars_repo_name": "spitfire55/python-docs-samples",
"max_stars_count": 4,
"id": "327",
"raw_source_hash": "d24f92caf779761ac4cbbb11e6986dd74f5fd172ae176a3a8ac20f0931d2d187",
"sanitize_meta": {
"triple_block_count": 4,
"total_triple_chars": 1683,
... | {
"raw_source_hash": "d24f92caf779761ac4cbbb11e6986dd74f5fd172ae176a3a8ac20f0931d2d187",
"normalized_source_hash": "1caf09dbd47d024a68b2da3aed42672c7377a3b6ed23d004dcd4ac730053e2a0",
"source_ast_hash": "760d0e26333493f1f51041149c8300b8eac61848e0a3553f3d7b341e0b9e7bfd",
"artifact_hash": "c1cc738476b65bdc0d6e463d... | true | true | null |
en_plaincode_to_python | # Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... | # Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... | en | python | run_002_20260417_060406 | 193 | {
"max_stars_repo_path": "iap/validate_jwt.py",
"max_stars_repo_name": "spitfire55/python-docs-samples",
"max_stars_count": 4,
"id": "327",
"raw_source_hash": "d24f92caf779761ac4cbbb11e6986dd74f5fd172ae176a3a8ac20f0931d2d187",
"sanitize_meta": {
"triple_block_count": 4,
"total_triple_chars": 1683,
... | {
"raw_source_hash": "d24f92caf779761ac4cbbb11e6986dd74f5fd172ae176a3a8ac20f0931d2d187",
"normalized_source_hash": "1caf09dbd47d024a68b2da3aed42672c7377a3b6ed23d004dcd4ac730053e2a0",
"source_ast_hash": "760d0e26333493f1f51041149c8300b8eac61848e0a3553f3d7b341e0b9e7bfd",
"artifact_hash": "c1cc738476b65bdc0d6e463d... | true | true | null |
python_to_en_plaincode | import os,sys; sys.path.insert(0,os.path.dirname(os.path.dirname(__file__)))
from htag import Tag
"""
This example show you how to make a "Calc App"
(with physical buttons + keyboard events)
There is no work for rendering the layout ;-)
Can't be simpler !
"""
class Calc(Tag.div):
statics=[Tag.H.style("""
.myc... | Load os, sys.
Call sys dot path dot insert with 0, (os dot path dot dirname with (os dot path dot dirname with __file__)).
Load Tag from htag.
Text block:
""
"This example show you how to make a \"Calc App\""
"(with physical buttons + keyboard events)"
""
"There is no work for rendering the layout ;-)"
""
"Can't be sim... | python | en | run_002_20260417_060406 | 194 | {
"max_stars_repo_path": "examples/calc.py",
"max_stars_repo_name": "manatlan/htag",
"max_stars_count": 1,
"id": "328",
"raw_source_hash": "2270ada3c012d25f5b4021c772e5250368289cdb564cedf0e28d714e5051ac2a",
"sanitize_meta": {
"triple_block_count": 2,
"total_triple_chars": 227,
"largest_triple_bl... | {
"raw_source_hash": "2270ada3c012d25f5b4021c772e5250368289cdb564cedf0e28d714e5051ac2a",
"normalized_source_hash": "7fd5054813256cd999220b655e99a9f42306b32fa6b73feb46f62e7584215763",
"source_ast_hash": "5c4a87e8877cc5608765bfeca2fd9a353c07ec3e6075e61be042a05142c26f97",
"artifact_hash": "bd537e3693081231ac4e5ce3... | true | true | null |
python_to_es_plaincode | import os,sys; sys.path.insert(0,os.path.dirname(os.path.dirname(__file__)))
from htag import Tag
"""
This example show you how to make a "Calc App"
(with physical buttons + keyboard events)
There is no work for rendering the layout ;-)
Can't be simpler !
"""
class Calc(Tag.div):
statics=[Tag.H.style("""
.myc... | Importar os, sys.
Llamar sys punto path punto insert con 0, (os punto path punto dirname con (os punto path punto dirname con __file__)).
Importar Tag desde htag.
Texto literal:
""
"This example show you how to make a \"Calc App\""
"(with physical buttons + keyboard events)"
""
"There is no work for rendering the layou... | python | es | run_002_20260417_060406 | 194 | {
"max_stars_repo_path": "examples/calc.py",
"max_stars_repo_name": "manatlan/htag",
"max_stars_count": 1,
"id": "328",
"raw_source_hash": "2270ada3c012d25f5b4021c772e5250368289cdb564cedf0e28d714e5051ac2a",
"sanitize_meta": {
"triple_block_count": 2,
"total_triple_chars": 227,
"largest_triple_bl... | {
"raw_source_hash": "2270ada3c012d25f5b4021c772e5250368289cdb564cedf0e28d714e5051ac2a",
"normalized_source_hash": "7fd5054813256cd999220b655e99a9f42306b32fa6b73feb46f62e7584215763",
"source_ast_hash": "5c4a87e8877cc5608765bfeca2fd9a353c07ec3e6075e61be042a05142c26f97",
"artifact_hash": "bd537e3693081231ac4e5ce3... | true | true | null |
python_to_fr_plaincode | import os,sys; sys.path.insert(0,os.path.dirname(os.path.dirname(__file__)))
from htag import Tag
"""
This example show you how to make a "Calc App"
(with physical buttons + keyboard events)
There is no work for rendering the layout ;-)
Can't be simpler !
"""
class Calc(Tag.div):
statics=[Tag.H.style("""
.myc... | Charger os, sys.
Appeler sys point de path point de insert avec 0, (os point de path point de dirname avec (os point de path point de dirname avec __file__)).
Charger Tag depuis htag.
Texte littéral:
""
"This example show you how to make a \"Calc App\""
"(with physical buttons + keyboard events)"
""
"There is no work f... | python | fr | run_002_20260417_060406 | 194 | {
"max_stars_repo_path": "examples/calc.py",
"max_stars_repo_name": "manatlan/htag",
"max_stars_count": 1,
"id": "328",
"raw_source_hash": "2270ada3c012d25f5b4021c772e5250368289cdb564cedf0e28d714e5051ac2a",
"sanitize_meta": {
"triple_block_count": 2,
"total_triple_chars": 227,
"largest_triple_bl... | {
"raw_source_hash": "2270ada3c012d25f5b4021c772e5250368289cdb564cedf0e28d714e5051ac2a",
"normalized_source_hash": "7fd5054813256cd999220b655e99a9f42306b32fa6b73feb46f62e7584215763",
"source_ast_hash": "5c4a87e8877cc5608765bfeca2fd9a353c07ec3e6075e61be042a05142c26f97",
"artifact_hash": "bd537e3693081231ac4e5ce3... | true | true | null |
en_plaincode_to_python | Load os, sys.
Call sys dot path dot insert with 0, (os dot path dot dirname with (os dot path dot dirname with __file__)).
Load Tag from htag.
Text block:
""
"This example show you how to make a \"Calc App\""
"(with physical buttons + keyboard events)"
""
"There is no work for rendering the layout ;-)"
""
"Can't be sim... | import os,sys; sys.path.insert(0,os.path.dirname(os.path.dirname(__file__)))
from htag import Tag
"""
This example show you how to make a "Calc App"
(with physical buttons + keyboard events)
There is no work for rendering the layout ;-)
Can't be simpler !
"""
class Calc(Tag.div):
statics=[Tag.H.style("""
.myc... | en | python | run_002_20260417_060406 | 194 | {
"max_stars_repo_path": "examples/calc.py",
"max_stars_repo_name": "manatlan/htag",
"max_stars_count": 1,
"id": "328",
"raw_source_hash": "2270ada3c012d25f5b4021c772e5250368289cdb564cedf0e28d714e5051ac2a",
"sanitize_meta": {
"triple_block_count": 2,
"total_triple_chars": 227,
"largest_triple_bl... | {
"raw_source_hash": "2270ada3c012d25f5b4021c772e5250368289cdb564cedf0e28d714e5051ac2a",
"normalized_source_hash": "7fd5054813256cd999220b655e99a9f42306b32fa6b73feb46f62e7584215763",
"source_ast_hash": "5c4a87e8877cc5608765bfeca2fd9a353c07ec3e6075e61be042a05142c26f97",
"artifact_hash": "bd537e3693081231ac4e5ce3... | true | true | null |
python_to_en_plaincode | #from trw.utils import collect_hierarchical_module_name, collect_hierarchical_parameter_name, get_batch_n, to_value, \
# safe_lookup, len_batch
from .export import as_image_ui8, as_rgb_image, export_image, export_sample, export_as_image
from .table_sqlite import TableStream, SQLITE_TYPE_PATTERN, get_table_number_of_... | # from trw.utils import collect_hierarchical_module_name, collect_hierarchical_parameter_name, get_batch_n, to_value, \
# safe_lookup, len_batch
Load as_image_ui8, as_rgb_image, export_image, export_sample, export_as_image from the current package.export.
Load TableStream, SQLITE_TYPE_PATTERN, get_table_number_of_ro... | python | en | run_002_20260417_060406 | 195 | {
"max_stars_repo_path": "src/trw/reporting/__init__.py",
"max_stars_repo_name": "civodlu/trw",
"max_stars_count": 3,
"id": "331",
"raw_source_hash": "a4308c0d081c1c37110dc1bb6e01bb40a99ab4a41afc7f9cee9d5d9d0269dc89",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"largest_... | {
"raw_source_hash": "a4308c0d081c1c37110dc1bb6e01bb40a99ab4a41afc7f9cee9d5d9d0269dc89",
"normalized_source_hash": "247fa477f80120919124ffac7b99c3e6d6b5d3ecbf5b65d23fb40c01b387c889",
"source_ast_hash": "de595be173287bc856ceb830b477ffd1f3751fcd1c878e861cd758419a518de1",
"artifact_hash": "998262ebe68fb67c6cb719c8... | true | true | null |
python_to_es_plaincode | #from trw.utils import collect_hierarchical_module_name, collect_hierarchical_parameter_name, get_batch_n, to_value, \
# safe_lookup, len_batch
from .export import as_image_ui8, as_rgb_image, export_image, export_sample, export_as_image
from .table_sqlite import TableStream, SQLITE_TYPE_PATTERN, get_table_number_of_... | # desde trw.utils import collect_hierarchical_module_name, collect_hierarchical_parameter_name, get_batch_n, to_value, \
# safe_lookup, len_batch
Importar as_image_ui8, as_rgb_image, export_image, export_sample, export_as_image desde el paquete actual.export.
Importar TableStream, SQLITE_TYPE_PATTERN, get_table_numb... | python | es | run_002_20260417_060406 | 195 | {
"max_stars_repo_path": "src/trw/reporting/__init__.py",
"max_stars_repo_name": "civodlu/trw",
"max_stars_count": 3,
"id": "331",
"raw_source_hash": "a4308c0d081c1c37110dc1bb6e01bb40a99ab4a41afc7f9cee9d5d9d0269dc89",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"largest_... | {
"raw_source_hash": "a4308c0d081c1c37110dc1bb6e01bb40a99ab4a41afc7f9cee9d5d9d0269dc89",
"normalized_source_hash": "247fa477f80120919124ffac7b99c3e6d6b5d3ecbf5b65d23fb40c01b387c889",
"source_ast_hash": "de595be173287bc856ceb830b477ffd1f3751fcd1c878e861cd758419a518de1",
"artifact_hash": "998262ebe68fb67c6cb719c8... | true | true | null |
python_to_fr_plaincode | #from trw.utils import collect_hierarchical_module_name, collect_hierarchical_parameter_name, get_batch_n, to_value, \
# safe_lookup, len_batch
from .export import as_image_ui8, as_rgb_image, export_image, export_sample, export_as_image
from .table_sqlite import TableStream, SQLITE_TYPE_PATTERN, get_table_number_of_... | # depuis trw.utils import collect_hierarchical_module_name, collect_hierarchical_parameter_name, get_batch_n, to_value, \
# safe_lookup, len_batch
Charger as_image_ui8, as_rgb_image, export_image, export_sample, export_as_image depuis le paquet actuel.export.
Charger TableStream, SQLITE_TYPE_PATTERN, get_table_numbe... | python | fr | run_002_20260417_060406 | 195 | {
"max_stars_repo_path": "src/trw/reporting/__init__.py",
"max_stars_repo_name": "civodlu/trw",
"max_stars_count": 3,
"id": "331",
"raw_source_hash": "a4308c0d081c1c37110dc1bb6e01bb40a99ab4a41afc7f9cee9d5d9d0269dc89",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"largest_... | {
"raw_source_hash": "a4308c0d081c1c37110dc1bb6e01bb40a99ab4a41afc7f9cee9d5d9d0269dc89",
"normalized_source_hash": "247fa477f80120919124ffac7b99c3e6d6b5d3ecbf5b65d23fb40c01b387c889",
"source_ast_hash": "de595be173287bc856ceb830b477ffd1f3751fcd1c878e861cd758419a518de1",
"artifact_hash": "998262ebe68fb67c6cb719c8... | true | true | null |
en_plaincode_to_python | # from trw.utils import collect_hierarchical_module_name, collect_hierarchical_parameter_name, get_batch_n, to_value, \
# safe_lookup, len_batch
Load as_image_ui8, as_rgb_image, export_image, export_sample, export_as_image from the current package.export.
Load TableStream, SQLITE_TYPE_PATTERN, get_table_number_of_ro... | #from trw.utils import collect_hierarchical_module_name, collect_hierarchical_parameter_name, get_batch_n, to_value, \
# safe_lookup, len_batch
from .export import as_image_ui8, as_rgb_image, export_image, export_sample, export_as_image
from .table_sqlite import TableStream, SQLITE_TYPE_PATTERN, get_table_number_of_... | en | python | run_002_20260417_060406 | 195 | {
"max_stars_repo_path": "src/trw/reporting/__init__.py",
"max_stars_repo_name": "civodlu/trw",
"max_stars_count": 3,
"id": "331",
"raw_source_hash": "a4308c0d081c1c37110dc1bb6e01bb40a99ab4a41afc7f9cee9d5d9d0269dc89",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"largest_... | {
"raw_source_hash": "a4308c0d081c1c37110dc1bb6e01bb40a99ab4a41afc7f9cee9d5d9d0269dc89",
"normalized_source_hash": "247fa477f80120919124ffac7b99c3e6d6b5d3ecbf5b65d23fb40c01b387c889",
"source_ast_hash": "de595be173287bc856ceb830b477ffd1f3751fcd1c878e861cd758419a518de1",
"artifact_hash": "998262ebe68fb67c6cb719c8... | true | true | null |
python_to_en_plaincode | import learndash
from learndash.api_resources.abstract import ListableAPIResource
from learndash.api_resources.abstract import RetrievableAPIResource
from learndash.api_resources.abstract import UpdateableAPIResource
from learndash.api_resources.abstract import NestedAPIResource
from learndash.api_resources.typing imp... | Load learndash.
Load ListableAPIResource from learndash.api_resources.abstract.
Load RetrievableAPIResource from learndash.api_resources.abstract.
Load UpdateableAPIResource from learndash.api_resources.abstract.
Load NestedAPIResource from learndash.api_resources.abstract.
Load UserDict from learndash.api_resources.ty... | python | en | run_002_20260417_060406 | 196 | {
"max_stars_repo_path": "src/learndash/api_resources/user.py",
"max_stars_repo_name": "MarkMacDon/learndash-python",
"max_stars_count": 0,
"id": "333",
"raw_source_hash": "335509078155cbd552d5f12b22bba1ff61b56e18ffb28bb1f67a4260f0e389da",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_ch... | {
"raw_source_hash": "335509078155cbd552d5f12b22bba1ff61b56e18ffb28bb1f67a4260f0e389da",
"normalized_source_hash": "e8305a91e98bf466c6905bc824e84897594ad77e6c7f005fe5d0a677a8e50ec2",
"source_ast_hash": "3d6cdd94cee846aadbb6fcdd12f70dacd1dd720ede856102c04ff5f7e1ae09cf",
"artifact_hash": "6706ca3d5de1aff45d45d5b1... | true | true | null |
python_to_es_plaincode | import learndash
from learndash.api_resources.abstract import ListableAPIResource
from learndash.api_resources.abstract import RetrievableAPIResource
from learndash.api_resources.abstract import UpdateableAPIResource
from learndash.api_resources.abstract import NestedAPIResource
from learndash.api_resources.typing imp... | Importar learndash.
Importar ListableAPIResource desde learndash.api_resources.abstract.
Importar RetrievableAPIResource desde learndash.api_resources.abstract.
Importar UpdateableAPIResource desde learndash.api_resources.abstract.
Importar NestedAPIResource desde learndash.api_resources.abstract.
Importar UserDict des... | python | es | run_002_20260417_060406 | 196 | {
"max_stars_repo_path": "src/learndash/api_resources/user.py",
"max_stars_repo_name": "MarkMacDon/learndash-python",
"max_stars_count": 0,
"id": "333",
"raw_source_hash": "335509078155cbd552d5f12b22bba1ff61b56e18ffb28bb1f67a4260f0e389da",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_ch... | {
"raw_source_hash": "335509078155cbd552d5f12b22bba1ff61b56e18ffb28bb1f67a4260f0e389da",
"normalized_source_hash": "e8305a91e98bf466c6905bc824e84897594ad77e6c7f005fe5d0a677a8e50ec2",
"source_ast_hash": "3d6cdd94cee846aadbb6fcdd12f70dacd1dd720ede856102c04ff5f7e1ae09cf",
"artifact_hash": "6706ca3d5de1aff45d45d5b1... | true | true | null |
python_to_fr_plaincode | import learndash
from learndash.api_resources.abstract import ListableAPIResource
from learndash.api_resources.abstract import RetrievableAPIResource
from learndash.api_resources.abstract import UpdateableAPIResource
from learndash.api_resources.abstract import NestedAPIResource
from learndash.api_resources.typing imp... | Charger learndash.
Charger ListableAPIResource depuis learndash.api_resources.abstract.
Charger RetrievableAPIResource depuis learndash.api_resources.abstract.
Charger UpdateableAPIResource depuis learndash.api_resources.abstract.
Charger NestedAPIResource depuis learndash.api_resources.abstract.
Charger UserDict depui... | python | fr | run_002_20260417_060406 | 196 | {
"max_stars_repo_path": "src/learndash/api_resources/user.py",
"max_stars_repo_name": "MarkMacDon/learndash-python",
"max_stars_count": 0,
"id": "333",
"raw_source_hash": "335509078155cbd552d5f12b22bba1ff61b56e18ffb28bb1f67a4260f0e389da",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_ch... | {
"raw_source_hash": "335509078155cbd552d5f12b22bba1ff61b56e18ffb28bb1f67a4260f0e389da",
"normalized_source_hash": "e8305a91e98bf466c6905bc824e84897594ad77e6c7f005fe5d0a677a8e50ec2",
"source_ast_hash": "3d6cdd94cee846aadbb6fcdd12f70dacd1dd720ede856102c04ff5f7e1ae09cf",
"artifact_hash": "6706ca3d5de1aff45d45d5b1... | true | true | null |
en_plaincode_to_python | Load learndash.
Load ListableAPIResource from learndash.api_resources.abstract.
Load RetrievableAPIResource from learndash.api_resources.abstract.
Load UpdateableAPIResource from learndash.api_resources.abstract.
Load NestedAPIResource from learndash.api_resources.abstract.
Load UserDict from learndash.api_resources.ty... | import learndash
from learndash.api_resources.abstract import ListableAPIResource
from learndash.api_resources.abstract import RetrievableAPIResource
from learndash.api_resources.abstract import UpdateableAPIResource
from learndash.api_resources.abstract import NestedAPIResource
from learndash.api_resources.typing imp... | en | python | run_002_20260417_060406 | 196 | {
"max_stars_repo_path": "src/learndash/api_resources/user.py",
"max_stars_repo_name": "MarkMacDon/learndash-python",
"max_stars_count": 0,
"id": "333",
"raw_source_hash": "335509078155cbd552d5f12b22bba1ff61b56e18ffb28bb1f67a4260f0e389da",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_ch... | {
"raw_source_hash": "335509078155cbd552d5f12b22bba1ff61b56e18ffb28bb1f67a4260f0e389da",
"normalized_source_hash": "e8305a91e98bf466c6905bc824e84897594ad77e6c7f005fe5d0a677a8e50ec2",
"source_ast_hash": "3d6cdd94cee846aadbb6fcdd12f70dacd1dd720ede856102c04ff5f7e1ae09cf",
"artifact_hash": "6706ca3d5de1aff45d45d5b1... | true | true | null |
python_to_en_plaincode | #!/usr/bin/env python3
import glob
import os
import pandas as pd
import dfs
SRC_DIR = f"{dfs.get_data_dir()}/adhd_sin_orig"
OUT_DIR = f"{dfs.get_data_dir()}/adhd_sin"
if __name__ == '__main__':
files = glob.glob(f"{SRC_DIR}/*.csv")
file_names = list(map(os.path.basename, files))
for file_name in file_names:
... | # !/usr/bin/env python3
Load glob.
Load os.
Load pandas, referred to as pd.
Load dfs.
Set SRC_DIR to formatted string with the value of (dfs dot get_data_dir with no values), "/adhd_sin_orig".
Set OUT_DIR to formatted string with the value of (dfs dot get_data_dir with no values), "/adhd_sin".
If __name__ equals "__mai... | python | en | run_002_20260417_060406 | 197 | {
"max_stars_repo_path": "projects/eyetracking/gen_adhd_sin.py",
"max_stars_repo_name": "nirdslab/streaminghub",
"max_stars_count": 0,
"id": "335",
"raw_source_hash": "9dae71abf4baa0722463989e12f565c55b10744b1a3d38822e5e01308bd62896",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars":... | {
"raw_source_hash": "9dae71abf4baa0722463989e12f565c55b10744b1a3d38822e5e01308bd62896",
"normalized_source_hash": "425b9fa6790f2f03124934a5d9bc4b578ad994ebf30e4ca141c18bd6aa1452f8",
"source_ast_hash": "db812a8c859b36e4afa3aceb17828ba1c9ced67f4f4d86a1f7e6fd2e4c03d8b7",
"artifact_hash": "a60b1f730ef10ee6b87acbe2... | true | true | null |
python_to_es_plaincode | #!/usr/bin/env python3
import glob
import os
import pandas as pd
import dfs
SRC_DIR = f"{dfs.get_data_dir()}/adhd_sin_orig"
OUT_DIR = f"{dfs.get_data_dir()}/adhd_sin"
if __name__ == '__main__':
files = glob.glob(f"{SRC_DIR}/*.csv")
file_names = list(map(os.path.basename, files))
for file_name in file_names:
... | # !/usr/bin/env python3
Importar glob.
Importar os.
Importar pandas, referido como pd.
Importar dfs.
Establecer SRC_DIR como cadena formateada con el valor de (dfs punto get_data_dir sin argumentos), "/adhd_sin_orig".
Establecer OUT_DIR como cadena formateada con el valor de (dfs punto get_data_dir sin argumentos), "/a... | python | es | run_002_20260417_060406 | 197 | {
"max_stars_repo_path": "projects/eyetracking/gen_adhd_sin.py",
"max_stars_repo_name": "nirdslab/streaminghub",
"max_stars_count": 0,
"id": "335",
"raw_source_hash": "9dae71abf4baa0722463989e12f565c55b10744b1a3d38822e5e01308bd62896",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars":... | {
"raw_source_hash": "9dae71abf4baa0722463989e12f565c55b10744b1a3d38822e5e01308bd62896",
"normalized_source_hash": "425b9fa6790f2f03124934a5d9bc4b578ad994ebf30e4ca141c18bd6aa1452f8",
"source_ast_hash": "db812a8c859b36e4afa3aceb17828ba1c9ced67f4f4d86a1f7e6fd2e4c03d8b7",
"artifact_hash": "a60b1f730ef10ee6b87acbe2... | true | true | null |
python_to_fr_plaincode | #!/usr/bin/env python3
import glob
import os
import pandas as pd
import dfs
SRC_DIR = f"{dfs.get_data_dir()}/adhd_sin_orig"
OUT_DIR = f"{dfs.get_data_dir()}/adhd_sin"
if __name__ == '__main__':
files = glob.glob(f"{SRC_DIR}/*.csv")
file_names = list(map(os.path.basename, files))
for file_name in file_names:
... | # !/usr/bin/env python3
Charger glob.
Charger os.
Charger pandas, référé comme pd.
Charger dfs.
Affecter SRC_DIR à la chaîne formatée contenant la valeur de (dfs point de get_data_dir sans arguments), "/adhd_sin_orig".
Affecter OUT_DIR à la chaîne formatée contenant la valeur de (dfs point de get_data_dir sans argument... | python | fr | run_002_20260417_060406 | 197 | {
"max_stars_repo_path": "projects/eyetracking/gen_adhd_sin.py",
"max_stars_repo_name": "nirdslab/streaminghub",
"max_stars_count": 0,
"id": "335",
"raw_source_hash": "9dae71abf4baa0722463989e12f565c55b10744b1a3d38822e5e01308bd62896",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars":... | {
"raw_source_hash": "9dae71abf4baa0722463989e12f565c55b10744b1a3d38822e5e01308bd62896",
"normalized_source_hash": "425b9fa6790f2f03124934a5d9bc4b578ad994ebf30e4ca141c18bd6aa1452f8",
"source_ast_hash": "db812a8c859b36e4afa3aceb17828ba1c9ced67f4f4d86a1f7e6fd2e4c03d8b7",
"artifact_hash": "a60b1f730ef10ee6b87acbe2... | true | true | null |
en_plaincode_to_python | # !/usr/bin/env python3
Load glob.
Load os.
Load pandas, referred to as pd.
Load dfs.
Set SRC_DIR to formatted string with the value of (dfs dot get_data_dir with no values), "/adhd_sin_orig".
Set OUT_DIR to formatted string with the value of (dfs dot get_data_dir with no values), "/adhd_sin".
If __name__ equals "__mai... | #!/usr/bin/env python3
import glob
import os
import pandas as pd
import dfs
SRC_DIR = f"{dfs.get_data_dir()}/adhd_sin_orig"
OUT_DIR = f"{dfs.get_data_dir()}/adhd_sin"
if __name__ == '__main__':
files = glob.glob(f"{SRC_DIR}/*.csv")
file_names = list(map(os.path.basename, files))
for file_name in file_names:
... | en | python | run_002_20260417_060406 | 197 | {
"max_stars_repo_path": "projects/eyetracking/gen_adhd_sin.py",
"max_stars_repo_name": "nirdslab/streaminghub",
"max_stars_count": 0,
"id": "335",
"raw_source_hash": "9dae71abf4baa0722463989e12f565c55b10744b1a3d38822e5e01308bd62896",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars":... | {
"raw_source_hash": "9dae71abf4baa0722463989e12f565c55b10744b1a3d38822e5e01308bd62896",
"normalized_source_hash": "425b9fa6790f2f03124934a5d9bc4b578ad994ebf30e4ca141c18bd6aa1452f8",
"source_ast_hash": "db812a8c859b36e4afa3aceb17828ba1c9ced67f4f4d86a1f7e6fd2e4c03d8b7",
"artifact_hash": "a60b1f730ef10ee6b87acbe2... | true | true | null |
python_to_en_plaincode | # 题意：给出一个仅包含字符'(',')','{','}','['和']',的字符串，判断给出的字符串是否是合法的括号序列。括号必须以正确的顺序关闭，"()"和"()[]{}"都是合法的括号序列，但"(]"和"([)]"不合法。
# @param s string字符串
# @return bool布尔型
#
class Solution:
def isValid(self , s ):
# write code here
if not s: return True
stack = []
dic = {'{':'}','[':']','(':')'}
... | # 题意：给出一个仅包含字符'(',')','{','}','['和']',的字符串，判断给出的字符串是否是合法的括号序列。括号必须以正确的顺序关闭，"()"和"()[]{}"都是合法的括号序列，但"(]"和"([)]"不合法。
# @param s string字符串
# @return bool布尔型
#
Define class Solution:
Define method isValid with parameters self, s:
# write code here
If not s:
Return True.
Set stack to ... | python | en | run_002_20260417_060406 | 198 | {
"max_stars_repo_path": "algo_probs/newcoder/classic/nc52.py",
"max_stars_repo_name": "Jackthebighead/recruiment-2022",
"max_stars_count": 0,
"id": "337",
"raw_source_hash": "16c71effa250eaa349459dd9734c1311d484644e2625513c83d411ea2907aae8",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple... | {
"raw_source_hash": "16c71effa250eaa349459dd9734c1311d484644e2625513c83d411ea2907aae8",
"normalized_source_hash": "6da1fcb447321db3425e4ed4e057968638103cb5d78455d06249e50b965b2f97",
"source_ast_hash": "1e81a5fd3a84848432fdbf8a736294be05f634f78994ee47cdda92eaeab4a531",
"artifact_hash": "985aa5a6afa6c2deb157f198... | true | true | null |
python_to_es_plaincode | # 题意：给出一个仅包含字符'(',')','{','}','['和']',的字符串，判断给出的字符串是否是合法的括号序列。括号必须以正确的顺序关闭，"()"和"()[]{}"都是合法的括号序列，但"(]"和"([)]"不合法。
# @param s string字符串
# @return bool布尔型
#
class Solution:
def isValid(self , s ):
# write code here
if not s: return True
stack = []
dic = {'{':'}','[':']','(':')'}
... | # 题意：给出一个仅包含字符'(',')','{','}','['和']',的字符串，判断给出的字符串是否是合法的括号序列。括号必须以正确的顺序关闭，"()"和"()[]{}"都是合法的括号序列，但"(]"和"([)]"不合法。
# @param s string字符串
# @return bool布尔型
#
Definir clase Solution:
Definir método isValid con parámetros self, s:
# write code here
Si no s:
Devolver True.
Establecer ... | python | es | run_002_20260417_060406 | 198 | {
"max_stars_repo_path": "algo_probs/newcoder/classic/nc52.py",
"max_stars_repo_name": "Jackthebighead/recruiment-2022",
"max_stars_count": 0,
"id": "337",
"raw_source_hash": "16c71effa250eaa349459dd9734c1311d484644e2625513c83d411ea2907aae8",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple... | {
"raw_source_hash": "16c71effa250eaa349459dd9734c1311d484644e2625513c83d411ea2907aae8",
"normalized_source_hash": "6da1fcb447321db3425e4ed4e057968638103cb5d78455d06249e50b965b2f97",
"source_ast_hash": "1e81a5fd3a84848432fdbf8a736294be05f634f78994ee47cdda92eaeab4a531",
"artifact_hash": "985aa5a6afa6c2deb157f198... | true | true | null |
python_to_fr_plaincode | # 题意：给出一个仅包含字符'(',')','{','}','['和']',的字符串，判断给出的字符串是否是合法的括号序列。括号必须以正确的顺序关闭，"()"和"()[]{}"都是合法的括号序列，但"(]"和"([)]"不合法。
# @param s string字符串
# @return bool布尔型
#
class Solution:
def isValid(self , s ):
# write code here
if not s: return True
stack = []
dic = {'{':'}','[':']','(':')'}
... | # 题意：给出一个仅包含字符'(',')','{','}','['和']',的字符串，判断给出的字符串是否是合法的括号序列。括号必须以正确的顺序关闭，"()"和"()[]{}"都是合法的括号序列，但"(]"和"([)]"不合法。
# @param s string字符串
# @return bool布尔型
#
Définir classe Solution:
Définir méthode isValid avec paramètres self, s:
# write code here
Si non s:
Retourner True.
Affect... | python | fr | run_002_20260417_060406 | 198 | {
"max_stars_repo_path": "algo_probs/newcoder/classic/nc52.py",
"max_stars_repo_name": "Jackthebighead/recruiment-2022",
"max_stars_count": 0,
"id": "337",
"raw_source_hash": "16c71effa250eaa349459dd9734c1311d484644e2625513c83d411ea2907aae8",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple... | {
"raw_source_hash": "16c71effa250eaa349459dd9734c1311d484644e2625513c83d411ea2907aae8",
"normalized_source_hash": "6da1fcb447321db3425e4ed4e057968638103cb5d78455d06249e50b965b2f97",
"source_ast_hash": "1e81a5fd3a84848432fdbf8a736294be05f634f78994ee47cdda92eaeab4a531",
"artifact_hash": "985aa5a6afa6c2deb157f198... | true | true | null |
en_plaincode_to_python | # 题意：给出一个仅包含字符'(',')','{','}','['和']',的字符串，判断给出的字符串是否是合法的括号序列。括号必须以正确的顺序关闭，"()"和"()[]{}"都是合法的括号序列，但"(]"和"([)]"不合法。
# @param s string字符串
# @return bool布尔型
#
Define class Solution:
Define method isValid with parameters self, s:
# write code here
If not s:
Return True.
Set stack to ... | # 题意：给出一个仅包含字符'(',')','{','}','['和']',的字符串，判断给出的字符串是否是合法的括号序列。括号必须以正确的顺序关闭，"()"和"()[]{}"都是合法的括号序列，但"(]"和"([)]"不合法。
# @param s string字符串
# @return bool布尔型
#
class Solution:
def isValid(self , s ):
# write code here
if not s: return True
stack = []
dic = {'{':'}','[':']','(':')'}
... | en | python | run_002_20260417_060406 | 198 | {
"max_stars_repo_path": "algo_probs/newcoder/classic/nc52.py",
"max_stars_repo_name": "Jackthebighead/recruiment-2022",
"max_stars_count": 0,
"id": "337",
"raw_source_hash": "16c71effa250eaa349459dd9734c1311d484644e2625513c83d411ea2907aae8",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple... | {
"raw_source_hash": "16c71effa250eaa349459dd9734c1311d484644e2625513c83d411ea2907aae8",
"normalized_source_hash": "6da1fcb447321db3425e4ed4e057968638103cb5d78455d06249e50b965b2f97",
"source_ast_hash": "1e81a5fd3a84848432fdbf8a736294be05f634f78994ee47cdda92eaeab4a531",
"artifact_hash": "985aa5a6afa6c2deb157f198... | true | true | null |
python_to_en_plaincode | import os.path
import time
import logging
import yaml
from piecrust.processing.base import Processor
logger = logging.getLogger(__name__)
class _ConcatInfo(object):
timestamp = 0
files = None
delim = "\n"
class ConcatProcessor(Processor):
PROCESSOR_NAME = 'concat'
def __init__(self):
... | Load os.path.
Load time.
Load logging.
Load yaml.
Load Processor from piecrust.processing.base.
Set logger to logging dot getLogger with __name__.
Define class _ConcatInfo inheriting from object:
Set timestamp to 0.
Set files to None.
Set delim to text block:
""
ending with a newline.
Define class C... | python | en | run_002_20260417_060406 | 199 | {
"max_stars_repo_path": "piecrust/processing/util.py",
"max_stars_repo_name": "airbornemint/PieCrust2",
"max_stars_count": 0,
"id": "338",
"raw_source_hash": "0f4bc0d83659b460eab3e23acb387bedc3814d159c39d3f653ef87aa1f31b85f",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
... | {
"raw_source_hash": "0f4bc0d83659b460eab3e23acb387bedc3814d159c39d3f653ef87aa1f31b85f",
"normalized_source_hash": "b5ca110a64a3b2a58baadb817b1897b3353a5848783820fc4c9180ca08e441e4",
"source_ast_hash": "df7a6a7082d7add0c756d91e48892b83d4ff3061671c7b54eee403f7026d60eb",
"artifact_hash": "944fc59f46d7b3c891dbb26a... | true | true | null |
python_to_es_plaincode | import os.path
import time
import logging
import yaml
from piecrust.processing.base import Processor
logger = logging.getLogger(__name__)
class _ConcatInfo(object):
timestamp = 0
files = None
delim = "\n"
class ConcatProcessor(Processor):
PROCESSOR_NAME = 'concat'
def __init__(self):
... | Importar os.path.
Importar time.
Importar logging.
Importar yaml.
Importar Processor desde piecrust.processing.base.
Establecer logger como logging punto getLogger con __name__.
Definir clase _ConcatInfo heredando de object:
Establecer timestamp como 0.
Establecer files como None.
Establecer delim como text... | python | es | run_002_20260417_060406 | 199 | {
"max_stars_repo_path": "piecrust/processing/util.py",
"max_stars_repo_name": "airbornemint/PieCrust2",
"max_stars_count": 0,
"id": "338",
"raw_source_hash": "0f4bc0d83659b460eab3e23acb387bedc3814d159c39d3f653ef87aa1f31b85f",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
... | {
"raw_source_hash": "0f4bc0d83659b460eab3e23acb387bedc3814d159c39d3f653ef87aa1f31b85f",
"normalized_source_hash": "b5ca110a64a3b2a58baadb817b1897b3353a5848783820fc4c9180ca08e441e4",
"source_ast_hash": "df7a6a7082d7add0c756d91e48892b83d4ff3061671c7b54eee403f7026d60eb",
"artifact_hash": "944fc59f46d7b3c891dbb26a... | true | true | null |
python_to_fr_plaincode | import os.path
import time
import logging
import yaml
from piecrust.processing.base import Processor
logger = logging.getLogger(__name__)
class _ConcatInfo(object):
timestamp = 0
files = None
delim = "\n"
class ConcatProcessor(Processor):
PROCESSOR_NAME = 'concat'
def __init__(self):
... | Charger os.path.
Charger time.
Charger logging.
Charger yaml.
Charger Processor depuis piecrust.processing.base.
Affecter logger à logging point de getLogger avec __name__.
Définir classe _ConcatInfo héritant de object:
Affecter timestamp à 0.
Affecter files à None.
Affecter delim à texte littéral:
""
... | python | fr | run_002_20260417_060406 | 199 | {
"max_stars_repo_path": "piecrust/processing/util.py",
"max_stars_repo_name": "airbornemint/PieCrust2",
"max_stars_count": 0,
"id": "338",
"raw_source_hash": "0f4bc0d83659b460eab3e23acb387bedc3814d159c39d3f653ef87aa1f31b85f",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
... | {
"raw_source_hash": "0f4bc0d83659b460eab3e23acb387bedc3814d159c39d3f653ef87aa1f31b85f",
"normalized_source_hash": "b5ca110a64a3b2a58baadb817b1897b3353a5848783820fc4c9180ca08e441e4",
"source_ast_hash": "df7a6a7082d7add0c756d91e48892b83d4ff3061671c7b54eee403f7026d60eb",
"artifact_hash": "944fc59f46d7b3c891dbb26a... | true | true | null |
en_plaincode_to_python | Load os.path.
Load time.
Load logging.
Load yaml.
Load Processor from piecrust.processing.base.
Set logger to logging dot getLogger with __name__.
Define class _ConcatInfo inheriting from object:
Set timestamp to 0.
Set files to None.
Set delim to text block:
""
ending with a newline.
Define class C... | import os.path
import time
import logging
import yaml
from piecrust.processing.base import Processor
logger = logging.getLogger(__name__)
class _ConcatInfo(object):
timestamp = 0
files = None
delim = "\n"
class ConcatProcessor(Processor):
PROCESSOR_NAME = 'concat'
def __init__(self):
... | en | python | run_002_20260417_060406 | 199 | {
"max_stars_repo_path": "piecrust/processing/util.py",
"max_stars_repo_name": "airbornemint/PieCrust2",
"max_stars_count": 0,
"id": "338",
"raw_source_hash": "0f4bc0d83659b460eab3e23acb387bedc3814d159c39d3f653ef87aa1f31b85f",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
... | {
"raw_source_hash": "0f4bc0d83659b460eab3e23acb387bedc3814d159c39d3f653ef87aa1f31b85f",
"normalized_source_hash": "b5ca110a64a3b2a58baadb817b1897b3353a5848783820fc4c9180ca08e441e4",
"source_ast_hash": "df7a6a7082d7add0c756d91e48892b83d4ff3061671c7b54eee403f7026d60eb",
"artifact_hash": "944fc59f46d7b3c891dbb26a... | true | true | null |
python_to_en_plaincode | import FWCore.ParameterSet.Config as cms
#
# module to make the MaxSumPtWMass jet combination
#
findTtSemiLepJetCombMaxSumPtWMass = cms.EDProducer("TtSemiLepJetCombMaxSumPtWMass",
## jet input
jets = cms.InputTag("selectedPatJets"),
## lepton input
leps = cms.InputTag("selectedPatMuons"),
## ma... | Load FWCore.ParameterSet.Config, referred to as cms.
#
# module to make the MaxSumPtWMass jet combination
#
Set findTtSemiLepJetCombMaxSumPtWMass to cms dot EDProducer with "TtSemiLepJetCombMaxSumPtWMass", jets set to (cms dot InputTag with "selectedPatJets"), leps set to (cms dot InputTag with "selectedPatMuons"), max... | python | en | run_002_20260417_060406 | 200 | {
"max_stars_repo_path": "TopQuarkAnalysis/TopJetCombination/python/TtSemiLepJetCombMaxSumPtWMass_cfi.py",
"max_stars_repo_name": "ckamtsikis/cmssw",
"max_stars_count": 852,
"id": "340",
"raw_source_hash": "714685c4ad41934139731940de06f959b36375f1239b7326093e41e6d74d440e",
"sanitize_meta": {
"triple_blo... | {
"raw_source_hash": "714685c4ad41934139731940de06f959b36375f1239b7326093e41e6d74d440e",
"normalized_source_hash": "1717a985ed60b37b6affe694b6ae965d5e70c951d477597fe97a1a0f0ff2d572",
"source_ast_hash": "914f2064939a9c1a6f810a2a47e7e39d35b5d6e694295669232e26aebc3f5ec5",
"artifact_hash": "19b0cfb9a4acce50d322256b... | true | true | null |
python_to_es_plaincode | import FWCore.ParameterSet.Config as cms
#
# module to make the MaxSumPtWMass jet combination
#
findTtSemiLepJetCombMaxSumPtWMass = cms.EDProducer("TtSemiLepJetCombMaxSumPtWMass",
## jet input
jets = cms.InputTag("selectedPatJets"),
## lepton input
leps = cms.InputTag("selectedPatMuons"),
## ma... | Importar FWCore.ParameterSet.Config, referido como cms.
#
# module como make the MaxSumPtWMass jet combination
#
Establecer findTtSemiLepJetCombMaxSumPtWMass como cms punto EDProducer con "TtSemiLepJetCombMaxSumPtWMass", jets establecido a (cms punto InputTag con "selectedPatJets"), leps establecido a (cms punto InputT... | python | es | run_002_20260417_060406 | 200 | {
"max_stars_repo_path": "TopQuarkAnalysis/TopJetCombination/python/TtSemiLepJetCombMaxSumPtWMass_cfi.py",
"max_stars_repo_name": "ckamtsikis/cmssw",
"max_stars_count": 852,
"id": "340",
"raw_source_hash": "714685c4ad41934139731940de06f959b36375f1239b7326093e41e6d74d440e",
"sanitize_meta": {
"triple_blo... | {
"raw_source_hash": "714685c4ad41934139731940de06f959b36375f1239b7326093e41e6d74d440e",
"normalized_source_hash": "1717a985ed60b37b6affe694b6ae965d5e70c951d477597fe97a1a0f0ff2d572",
"source_ast_hash": "914f2064939a9c1a6f810a2a47e7e39d35b5d6e694295669232e26aebc3f5ec5",
"artifact_hash": "19b0cfb9a4acce50d322256b... | true | true | null |
python_to_fr_plaincode | import FWCore.ParameterSet.Config as cms
#
# module to make the MaxSumPtWMass jet combination
#
findTtSemiLepJetCombMaxSumPtWMass = cms.EDProducer("TtSemiLepJetCombMaxSumPtWMass",
## jet input
jets = cms.InputTag("selectedPatJets"),
## lepton input
leps = cms.InputTag("selectedPatMuons"),
## ma... | Charger FWCore.ParameterSet.Config, référé comme cms.
#
# module à make the MaxSumPtWMass jet combination
#
Affecter findTtSemiLepJetCombMaxSumPtWMass à cms point de EDProducer avec "TtSemiLepJetCombMaxSumPtWMass", jets défini à (cms point de InputTag avec "selectedPatJets"), leps défini à (cms point de InputTag avec "... | python | fr | run_002_20260417_060406 | 200 | {
"max_stars_repo_path": "TopQuarkAnalysis/TopJetCombination/python/TtSemiLepJetCombMaxSumPtWMass_cfi.py",
"max_stars_repo_name": "ckamtsikis/cmssw",
"max_stars_count": 852,
"id": "340",
"raw_source_hash": "714685c4ad41934139731940de06f959b36375f1239b7326093e41e6d74d440e",
"sanitize_meta": {
"triple_blo... | {
"raw_source_hash": "714685c4ad41934139731940de06f959b36375f1239b7326093e41e6d74d440e",
"normalized_source_hash": "1717a985ed60b37b6affe694b6ae965d5e70c951d477597fe97a1a0f0ff2d572",
"source_ast_hash": "914f2064939a9c1a6f810a2a47e7e39d35b5d6e694295669232e26aebc3f5ec5",
"artifact_hash": "19b0cfb9a4acce50d322256b... | true | true | null |
en_plaincode_to_python | Load FWCore.ParameterSet.Config, referred to as cms.
#
# module to make the MaxSumPtWMass jet combination
#
Set findTtSemiLepJetCombMaxSumPtWMass to cms dot EDProducer with "TtSemiLepJetCombMaxSumPtWMass", jets set to (cms dot InputTag with "selectedPatJets"), leps set to (cms dot InputTag with "selectedPatMuons"), max... | import FWCore.ParameterSet.Config as cms
#
# module to make the MaxSumPtWMass jet combination
#
findTtSemiLepJetCombMaxSumPtWMass = cms.EDProducer("TtSemiLepJetCombMaxSumPtWMass",
## jet input
jets = cms.InputTag("selectedPatJets"),
## lepton input
leps = cms.InputTag("selectedPatMuons"),
## ma... | en | python | run_002_20260417_060406 | 200 | {
"max_stars_repo_path": "TopQuarkAnalysis/TopJetCombination/python/TtSemiLepJetCombMaxSumPtWMass_cfi.py",
"max_stars_repo_name": "ckamtsikis/cmssw",
"max_stars_count": 852,
"id": "340",
"raw_source_hash": "714685c4ad41934139731940de06f959b36375f1239b7326093e41e6d74d440e",
"sanitize_meta": {
"triple_blo... | {
"raw_source_hash": "714685c4ad41934139731940de06f959b36375f1239b7326093e41e6d74d440e",
"normalized_source_hash": "1717a985ed60b37b6affe694b6ae965d5e70c951d477597fe97a1a0f0ff2d572",
"source_ast_hash": "914f2064939a9c1a6f810a2a47e7e39d35b5d6e694295669232e26aebc3f5ec5",
"artifact_hash": "19b0cfb9a4acce50d322256b... | true | true | null |
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