Erandio 





ERANDIO ERAIKITZEN 

urr 30 2011

Paro en Erandio

Honek argitaratua: endi ordu honetan: 18:52:27 hemen: Erandio

Fuente: INE

El paro en Erandio está alcanzando cotas intolerables, pero el equipo de gobierno municipal del PNV no es capaz de reflexionar y actuar.

El aumento en septiembre de casi un 2% nos ha hecho llegar a 1.784 personas desempleadas de las que 916 son hombres y 868 mujeres, lo que supone 215 personas mas en paro que a primeros de año.

Mientras tanto el Ayuntamiento decide subir un 500% algunas tasas municipales, porque durante los años que ha gobernado en mayoría no las había tocado. La pretensión de echar la culpa a los demás en vez de asumir errores o pactar, no son palabras que entiendan en el PNV de Erandio.

No es capaz de pactar con ningún grupo de la oposición ninguna medida, viven en un mundo en el que se consideran los dueños del Ayuntamiento y no necesitan hablar con nadie. Esa prepotencia les ha llevado a perder la primera votación en muchos años y si no cambian de actitud se encontraran con que la oposición les rechazará los presupuestos porque SON INCAPACES DE NEGOCIARLOS.

La ausencia de políticas de empleo, mas allá del temporal, la desconexión con el comercio y el mundo empresarial de Erandio, nos está dirigiendo a deslocalizaciones, cierres de empresas y MAS PARO.

Mas de 1.000 personas no tienen empleo en Erandio en el sector de población entre 25 y 45 años, casi 150 entre las personas menores de 25 años y el resto mas de 600 corresponde a las personas mayores de 45 años.

Seguimos exigiendo al equipo municipal diálogo para elaborar programas de empleo, para consensuar las subidas de impuestos, para centrarnos en las ayudas necesarias para las familias de Erandio. NO BASTA CON POLITICAS DE RECORTES y “regalos” a entidades afines.

Está claro que al PNV de Erandio no le gusta que el pueblo tome la palabra y diga publicamente que se les está tomando el pelo alargando injustamente los temas, que se está reprimiendo símbolos y personas del municipio, en vez de abordar los problemas municipales. Los plenos a las 8.30 de la mañana y los “olvidos” del Alcalde para dar la palabra al pueblo desembocan en conflictos verbales al final de los plenos.

El equipo de gobierno del PNV aprobó comprar MATERIAL ANTIDISTURBIOS a la policia municipal, para que se la pongan en jaiak para cerrar las txoznas o para amedrentar a los jovenes del pueblo que ante la ausencia de locales municipales para el ocio autogestionado, crean su propio gaztetxe.

¿NOS SOBRA EL DINERO EN ERANDIO PARA GASTARLO EN MATERIAL ANTIDISTURBIOS?

Etiquetas blog: desempleo ; Erandio ; gaztetxe ; impuestos ; paro ; policía municipal ;
Etiquetas todos los blogs: desempleo ; Erandio ; gaztetxe ; impuestos ; paro ; policía municipal ;

14 iruzkinak -> “Paro en Erandio”

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    Anavar Dosage For Results: The 2025 Definitive Guide

    Anavar Dosage For Results: The 2025 Definitive Guide

    How Much Anavar Should You Take? A Realistic Breakdown

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    Assess Body Weight & Metabolism

    - Light‑to‑medium build: 20 mg/day is
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    - Novice users should begin at the lower end of the spectrum to gauge
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    Women who have never used steroids should start at 10 mg
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    Should I split my daily Anavar dose?

    Splitting the dose can reduce peaks in blood concentration, potentially
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    Women: 5–7.5 mg twice a day

    This method also supports steadier hormone levels, which can improve sleep
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    Your Anavar Cycle: Timeline and Expectations

    Phase Duration Key Actions

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    Week 6 Peak Maintain full dose; monitor liver
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    Week 7 Taper Reduce by 5 mg/day to ease withdrawal.

    Post‑Cycle Recovery Return to normal diet; consider PCT if needed.

    How long does it take for Anavar to start working?

    Initial response: Strength improvements can appear within 2–3 weeks,
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    Visible changes: Body composition shifts (fat loss, muscle definition) typically become noticeable
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    What kind of results can I realistically expect from an Anavar cycle?

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    Tailoring Your Cycle: Beginners, Goals, and Stacks

    What is a safe and effective Anavar dosage for
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    How does Anavar dosage for cutting differ from bulking?

    Goal Dosage Range

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    Cutting focuses on fat loss while preserving muscle, so
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    Anavar offers a gentler profile with less estrogenic
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    Winstrol is more potent in fat loss but carries higher risks of joint pain,
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    Safety First: Managing Side Effects and Post‑Cycle Care

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    Persistent acne or oily skin

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    Elevated liver enzymes (AST/ALT > 2× normal)

    Mood swings, irritability, or aggression

    If any of these occur, reduce the dosage immediately.

    How can I minimize side effects at my chosen dosage?

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    Monitor bloodwork every 2–3 weeks during the cycle.

    Is post-cycle therapy (PCT) necessary after an Anavar-only cycle?

    Anavar has a relatively low impact on testosterone suppression compared to other steroids, especially at lower doses.
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    Do I need a PCT after using Anavar?

    Not always. A short cycle (≤8 weeks) often does not suppress natural testosterone production significantly.
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    The Definitive Answer on Anavar Dosage

    For most users aiming for lean muscle retention and
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    Men: 20–25 mg/day (split or whole)

    Women: 10–12 mg/day (split or whole)

    Keep cycles to 6‑8 weeks, monitor liver enzymes, and pair with a clean diet and rigorous
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    ## 1. Executive Summary

    | Product | Core Promise | Primary Audience | Key Benefit |
    |———|————–|——————|————-|
    | **E‑commerce Website** | “Fast, secure storefront that converts.” | Retailers & brand owners (B2C & B2B) | Instant online
    presence → revenue lift |
    | **Subscription Platform** | “Automate recurring sales & grow customer lifetime value.” | SaaS/Media/B2C brands | Predictable cash flow + 3× higher CLV
    |
    | **Marketplace Solution** | “Scale by connecting buyers & sellers with a friction‑free platform.” |
    Local services, niche communities | Rapid growth via
    network effects |

    ### How the stack powers each business model

    | Component | Role in E‑commerce | Role in Subscription | Role
    in Marketplace |
    |———–|——————-|———————-|———————|
    | **Domain‑Driven Design** | Models catalog,
    cart, checkout | Separates billing, usage, churn | Handles
    listings, offers, bids |
    | **Command Query Responsibility Segregation (CQRS)** | Fast read of product catalogs & orders |
    Optimised queries for revenue and usage analytics | Real‑time price feeds, availability |
    | **Event‑Sourcing** | Replays order history to audit trail | Enables billing cycles & refunds via events | Tracks listing changes & transaction logs
    |
    | **Reactive Programming** | Non‑blocking UI updates | Handles high concurrency billing events | Low‑latency pricing updates |
    | **Infrastructure (Kafka, gRPC)** | Distributed event bus for orders
    | Streaming payment updates to accounting | Messaging between marketplace services |

    ## 5. Decision Guidance

    | Scenario | Recommended Architecture | Rationale
    |
    |———-|—————————|———–|
    | **High traffic e‑commerce site with complex order processing**
    | **Reactive + Event‑Sourcing + Reactive Streams** | Handles
    many concurrent requests; ensures data consistency via events; supports microservices communication. |
    | **Real‑time gaming platform requiring low latency** | **Kafka + gRPC + Reactive Streams** | Kafka provides high throughput and low latency; gRPC for efficient binary protocol; reactive streams to process events asynchronously.

    |
    | **Data‑intensive analytical service with large batch jobs** | **Event‑Sourcing + Data Lake + Stream
    Processing (Kafka)** | Event sourcing captures every state
    change; data lake stores raw logs; stream processing provides real‑time insights.
    |
    | **Legacy monolithic application migrating to microservices gradually** | **Spring Cloud,
    Eureka for discovery, Hystrix for fault tolerance** | Allows incremental migration while maintaining existing architecture; adds resilience patterns gradually.

    |

    ## 4. Implementation Plan (High‑Level)

    | Phase | Key Activities | Deliverables | Timeline |
    |——-|—————-|————–|———-|
    | **Discovery & Requirements** | • Stakeholder interviews
    • Current system audit
    • Define success metrics | Business requirements document,
    technical assessment report | 2–3 weeks |
    | **Architecture Design** | • Select architecture style (microservices/containers)
    • Define service boundaries and APIs
    • Draft data model & integration points | Architecture diagram,
    API contracts, deployment strategy | 4 weeks |
    | **Proof‑of‑Concept** | • Build minimal viable microservice(s) in container
    • Test CI/CD pipeline
    • Validate scalability with load testing |
    POC artifacts, performance results | 2–3 weeks |
    | **Development & Migration Plan** | • Prioritize services for migration
    • Define data sync strategy (incremental load)
    • Create test plan and rollback procedures | Roadmap, migration scripts, cut‑over schedule | 4–6 weeks |
    | **Production Deployment** | • Deploy containers to Kubernetes cluster
    • Configure monitoring & alerts
    • Switch traffic from legacy system gradually | Live deployment, post‑migration review | Ongoing |

    ## 3. Migration Strategy

    | Step | What | How |
    |——|——|—–|
    | **1. Discover and Map** | Identify all tables that are referenced by the 20 % of transactions that need to
    be moved. | Use dependency diagrams (ERD) or SQL scripts (`SELECT * FROM information_schema.key_column_usage`) to list foreign‑key relationships.
    |
    | **2. Define Data Flow** | For each transaction type, determine
    source (legacy table), destination (new table), and transformation logic (e.g.,
    mapping codes). | Create data‑mapping documents and use
    an ETL tool or custom scripts. |
    | **3. Extract & Load** | Export the selected rows from legacy tables; load them into staging areas
    of the new system. | Use bulk copy (`bcp`, `COPY`) for
    speed, ensuring constraints are temporarily disabled in the target schema to avoid errors.
    |
    | **4. Transform** | Apply business rules: calculate derived fields,
    adjust formats (e.g., dates), resolve foreign key references.

    | Run transformation scripts within the staging environment; validate with sample data.
    |
    | **5. Load into Production** | Insert transformed rows
    into production tables of the new system, enforcing all constraints and indexes.
    | Use transactional inserts to allow rollback if errors occur; log
    success/failure counts. |
    | **6. Post‑Load Validation** | Run checks: row count matches source, key integrity verified, business rule compliance confirmed.
    | Generate validation report; resolve discrepancies before proceeding.
    |

    #### 5.2 Handling Large Volumes

    - **Batching**: Process data in manageable batches (e.g.,
    100,000 rows) to avoid memory exhaustion.
    - **Parallel Execution**: If infrastructure permits, run multiple
    load jobs concurrently on different partitions of the data.

    - **Monitoring**: Track progress metrics (rows processed per minute, total elapsed time) and alert operators if performance degrades.

    #### 5.3 Failure Recovery

    1. **Detection**: Identify job failures via error logs or monitoring alerts.

    2. **Rollback**: If partial data was loaded, delete the erroneous batch to maintain consistency.

    3. **Reprocessing**: Resume from the last successful checkpoint, reapplying transformations and loading.

    ## 6. Validation and Testing

    ### 6.1 Unit Tests for Transformation Functions

    - **`normalize_phone_number`**:
    - Input: `”+81 3 1234 5678″` → Output: `”0312345678″`
    - Input: `”03-1234-5678″` → Output: `”0312345678″`
    - Edge cases: missing country code, leading zeros.

    - **`normalize_postal_code`**:
    - Input: `”012-3456″` → Output: `”0123456″`
    - Input: `”1234567″` → Output: `”1234567″`

    - **`calculate_age`**:
    - Input birth date: `datetime.date(1990, 5, 15)` and reference date:
    `datetime.date(2023, 1, 1)`
    Expected age: 32 (since birthday not yet reached in 2023).

    ### 6.2 Data‑Driven Tests

    Using a sample of real or synthetic data:

    | Raw Phone | Normalized Phone |
    |———–|——————|
    | 090-1234-5678 | +819012345678 |
    | 080-9876-5432 | +818098765432 |

    | Birth Date (YYYY-MM-DD) | Reference Date (2023-01-01) | Expected Age |
    |————————-|—————————–|————–|
    | 2000-02-29 | 2023-01-01 | 22 |
    | 1995-12-15 | 2023-06-30 | 27 |

    The expected outputs are verified against the function’s actual results.

    ## 5. Test Execution

    ### 5.1 Environment
    All tests were executed in a clean virtual environment on a Windows
    machine (Python 3.11, `pytest` 7.x). No external services or network
    connections were required.

    ### 5.2 Running the Tests
    Execute the following command from the repository root:

    “`bash
    $ pytest -q
    “`

    The output should confirm that all tests passed successfully:

    “`
    … 100%
    3 passed in 0.01s
    “`

    ## 6. Troubleshooting

    | Symptom | Likely Cause | Fix |
    |———|————–|—–|
    | `ModuleNotFoundError: No module named ‘utils’` |
    Wrong working directory or missing PYTHONPATH | Ensure
    you’re running tests from the repository root or set `PYTHONPATH=.`, e.g., `PYTHONPATH=.

    pytest -q`. |
    | Tests fail on CI but pass locally | Different Python version / dependency mismatch
    | Pin exact Python version and dependencies in your CI
    configuration. |
    | Import errors due to circular imports | `utils.py` imports from modules that import back from it | Refactor imports to avoid cycles or use local imports
    within functions. |

    ### TL;DR

    - **Run**: `PYTHONPATH=. pytest -q`
    - **Why**: Adds repo root to module search path so `import utils` works.

    - **Optional**: Create a simple `conftest.py` with `sys.path.insert(0, str(Path(__file__).resolve().parent))`.

    Happy testing!

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